[r-cran-zelig] 46/102: Import Upstream version 2.8-4

Andreas Tille tille at debian.org
Sun Jan 8 16:58:21 UTC 2017


This is an automated email from the git hooks/post-receive script.

tille pushed a commit to branch master
in repository r-cran-zelig.

commit 2fbaee40d6a4d69668d3568098b5de68923add37
Author: Andreas Tille <tille at debian.org>
Date:   Sun Jan 8 09:39:16 2017 +0100

    Import Upstream version 2.8-4
---
 DESCRIPTION                                        |     6 +-
 R/ate/sate.R                                       |    53 -
 R/gee/param.gee.R                                  |    34 -
 R/gee/qi.gee.R                                     |    69 -
 R/gee/vcov.gee.R                                   |     3 -
 R/gee/zelig2gamma.gee.R                            |     8 -
 R/gee/zelig2logit.gee.R                            |     8 -
 R/gee/zelig2normal.gee.R                           |     8 -
 R/gee/zelig2poisson.gee.R                          |     8 -
 R/help.zelig.R                                     |   107 +-
 R/load.first.R                                     |     4 +
 R/systemfit/2sls.tex                               |     1 -
 R/systemfit/3sls.tex                               |     1 -
 R/systemfit/callsystemfit.R                        |     7 -
 R/systemfit/cmsystemfit.R                          |    19 -
 R/systemfit/describe.2sls.R                        |    18 -
 R/systemfit/describe.3sls.R                        |    18 -
 R/systemfit/param.multiple.R                       |    19 -
 R/systemfit/plot.zelig.2sls.R                      |    14 -
 R/systemfit/plot.zelig.3sls.R                      |    14 -
 R/systemfit/plot.zelig.sur.R                       |    14 -
 R/systemfit/plot.zelig.w2sls.R                     |    14 -
 R/systemfit/qi.multiple.R                          |    60 -
 R/systemfit/sur.tex                                |     1 -
 R/systemfit/zelig22sls.R                           |    25 -
 R/systemfit/zelig23sls.R                           |    25 -
 R/systemfit/zelig2sur.R                            |    16 -
 R/systemfit/zelig2w2sls.R                          |    15 -
 R/vignettesMenu.R                                  |    28 +
 R/zvcClient.R                                      |     4 +-
 cleanup                                            |    18 +
 inst/doc/Makefile                                  |    28 +-
 inst/doc/Rd.sty                                    |   363 +
 inst/doc/Rplots.ps                                 | 40000 ++++++++++++
 inst/doc/arima.Rnw                                 |   329 +
 inst/doc/arima.pdf                                 |   Bin 0 -> 111103 bytes
 inst/doc/arima.tex                                 |   349 +
 inst/doc/blogit.Rnw                                |   359 +
 inst/doc/blogit.pdf                                |   Bin 0 -> 137905 bytes
 inst/doc/blogit.tex                                |   375 +
 inst/doc/bprobit.Rnw                               |   391 +
 inst/doc/bprobit.pdf                               |   Bin 0 -> 152500 bytes
 inst/doc/bprobit.tex                               |   410 +
 inst/doc/coda_diag.tex                             |    32 +
 inst/doc/commands/model.end.aux                    |    25 +-
 inst/doc/commands/model.frame.multiple.aux         |    27 +-
 inst/doc/commands/model.matrix.multiple.aux        |    27 +-
 inst/doc/commands/network.aux                      |    41 -
 inst/doc/commands/parse.formula.aux                |    31 +-
 inst/doc/commands/parse.par.aux                    |    27 +-
 inst/doc/commands/plot.ci.aux                      |    43 -
 inst/doc/commands/plot.zelig.aux                   |    42 -
 inst/doc/commands/print.aux                        |    21 +-
 inst/doc/commands/put.start.aux                    |    25 +-
 inst/doc/commands/replicate.aux                    |    42 -
 inst/doc/commands/rocplot.aux                      |    43 -
 inst/doc/commands/set.start.aux                    |    27 +-
 inst/doc/commands/sim.aux                          |    41 -
 inst/doc/commands/summary.aux                      |    43 -
 inst/doc/commands/tag.aux                          |    27 +-
 inst/doc/commands/ternaryplot.aux                  |    42 -
 inst/doc/commands/ternarypoints.aux                |    42 -
 inst/doc/commandsRd/CVS.tex                        |     2 +
 inst/doc/commandsRd/MatchIt.url.tex                |     6 +
 inst/doc/commandsRd/PErisk.tex                     |    67 +
 inst/doc/commandsRd/SupremeCourt.tex               |    26 +
 inst/doc/commandsRd/Weimar.tex                     |    26 +
 inst/doc/commandsRd/Zelig.tex                      |    62 +
 inst/doc/commandsRd/Zelig.url.tex                  |     6 +
 inst/doc/commandsRd/approval.tex                   |    20 +
 inst/doc/commandsRd/coalition.tex                  |    31 +
 inst/doc/commandsRd/current.packages.tex           |    35 +
 inst/doc/commandsRd/dims.tex                       |    37 +
 inst/doc/commandsRd/eidat.tex                      |    14 +
 inst/doc/commandsRd/friendship.tex                 |    15 +
 inst/doc/commandsRd/gsource.tex                    |    49 +
 inst/doc/commandsRd/help.zelig.tex                 |    29 +
 inst/doc/commandsRd/hoff.tex                       |    24 +
 inst/doc/commandsRd/immigration.tex                |    28 +
 inst/doc/commandsRd/macro.tex                      |    28 +
 inst/doc/commandsRd/match.data.tex                 |    43 +
 inst/doc/commandsRd/mexico.tex                     |    24 +
 inst/doc/{commands => commandsRd}/mi.aux           |    21 +-
 inst/doc/commandsRd/mi.tex                         |    39 +
 inst/doc/commandsRd/mid.tex                        |    28 +
 inst/doc/commandsRd/model.end.tex                  |    44 +
 inst/doc/commandsRd/model.frame.multiple.tex       |    56 +
 inst/doc/commandsRd/model.matrix.multiple.tex      |    83 +
 inst/doc/commandsRd/network.aux                    |    38 +
 inst/doc/commandsRd/network.tex                    |    42 +
 inst/doc/commandsRd/newpainters.tex                |    32 +
 inst/doc/commandsRd/parse.formula.tex              |    77 +
 inst/doc/commandsRd/parse.par.tex                  |    82 +
 inst/doc/commandsRd/plot.ci.aux                    |    38 +
 inst/doc/commandsRd/plot.ci.tex                    |    68 +
 inst/doc/commandsRd/plot.zelig.aux                 |    38 +
 inst/doc/commandsRd/plot.zelig.tex                 |    48 +
 inst/doc/commandsRd/put.start.tex                  |    33 +
 inst/doc/commandsRd/repl.aux                       |    38 +
 inst/doc/commandsRd/repl.tex                       |    89 +
 inst/doc/commandsRd/rocplot.aux                    |    38 +
 inst/doc/commandsRd/rocplot.tex                    |    87 +
 inst/doc/commandsRd/sanction.tex                   |    24 +
 inst/doc/commandsRd/set.start.tex                  |    42 +
 inst/doc/{commands => commandsRd}/setx.aux         |    20 +-
 inst/doc/commandsRd/setx.tex                       |   113 +
 inst/doc/commandsRd/sim.aux                        |    38 +
 inst/doc/commandsRd/sim.tex                        |   132 +
 inst/doc/commandsRd/sna.ex.tex                     |    15 +
 .../summary.aux}                                   |    31 +-
 inst/doc/commandsRd/summary.zelig.tex              |    51 +
 inst/doc/commandsRd/swiss.tex                      |    40 +
 inst/doc/commandsRd/ternaryplot.aux                |    38 +
 inst/doc/commandsRd/ternaryplot.tex                |    77 +
 inst/doc/commandsRd/ternarypoints.aux              |    38 +
 inst/doc/commandsRd/ternarypoints.tex              |    39 +
 inst/doc/commandsRd/tobin.tex                      |    23 +
 inst/doc/commandsRd/turnout.tex                    |    25 +
 inst/doc/commandsRd/user.prompt.tex                |    25 +
 inst/doc/commandsRd/zeligVDC.tex                   |    62 +
 inst/doc/contributors.tex                          |    15 +
 inst/doc/contributors2.tex                         |    11 +
 inst/doc/ei.RxC.Rnw                                |   234 +
 inst/doc/ei.RxC.pdf                                |   Bin 0 -> 86751 bytes
 inst/doc/ei.RxC.tex                                |   238 +
 inst/doc/ei.dynamic.Rnw                            |   309 +
 inst/doc/ei.dynamic.pdf                            |   Bin 0 -> 95055 bytes
 inst/doc/ei.dynamic.tex                            |   306 +
 inst/doc/ei.hier.Rnw                               |   311 +
 inst/doc/ei.hier.pdf                               |   Bin 0 -> 92998 bytes
 inst/doc/ei.hier.tex                               |   309 +
 inst/doc/exp.Rnw                                   |   302 +
 inst/doc/exp.pdf                                   |   Bin 0 -> 123848 bytes
 inst/doc/exp.tex                                   |   304 +
 inst/doc/factor.bayes.Rnw                          |   293 +
 inst/doc/factor.bayes.pdf                          |   Bin 0 -> 87105 bytes
 inst/doc/factor.bayes.tex                          |   283 +
 inst/doc/factor.mix.Rnw                            |   299 +
 inst/doc/factor.mix.pdf                            |   Bin 0 -> 91656 bytes
 inst/doc/factor.mix.tex                            |   295 +
 inst/doc/factor.ord.Rnw                            |   276 +
 inst/doc/factor.ord.pdf                            |   Bin 0 -> 90074 bytes
 inst/doc/factor.ord.tex                            |   274 +
 inst/doc/figs/increase.eps                         | 12290 ----
 inst/doc/figs/increase.pdf                         |   Bin 30671 -> 0 bytes
 inst/doc/figs/roc.eps                              |   396 -
 inst/doc/figs/roc.pdf                              |   401 -
 inst/doc/figs/sample1.eps                          |   914 -
 inst/doc/figs/sample1.pdf                          |   568 -
 inst/doc/figs/sample2.eps                          |   695 -
 inst/doc/figs/sample2.pdf                          |   709 -
 inst/doc/figs/ternary.eps                          |  2182 -
 inst/doc/figs/ternary.pdf                          |  2220 -
 inst/doc/figs/vertci.eps                           |   962 -
 inst/doc/figs/vertci.pdf                           |   820 -
 inst/doc/forMake.sh                                |    93 +
 inst/doc/gamma.Rnw                                 |   264 +
 inst/doc/gamma.pdf                                 |   Bin 0 -> 118924 bytes
 inst/doc/gamma.tex                                 |   266 +
 inst/doc/index.shtml                               |     2 +-
 inst/doc/install.R                                 |    13 -
 inst/doc/irt1d.Rnw                                 |   279 +
 inst/doc/irt1d.pdf                                 |   Bin 0 -> 90626 bytes
 inst/doc/irt1d.tex                                 |   274 +
 inst/doc/irtkd.Rnw                                 |   281 +
 inst/doc/irtkd.pdf                                 |   Bin 0 -> 93380 bytes
 inst/doc/irtkd.tex                                 |   279 +
 inst/doc/logit.Rnw                                 |   310 +
 inst/doc/logit.bayes.Rnw                           |   275 +
 inst/doc/logit.bayes.pdf                           |   Bin 0 -> 91888 bytes
 inst/doc/logit.bayes.tex                           |   288 +
 inst/doc/logit.pdf                                 |   Bin 0 -> 140338 bytes
 inst/doc/logit.tex                                 |   323 +
 inst/doc/lognorm.Rnw                               |   291 +
 inst/doc/lognorm.pdf                               |   Bin 0 -> 123488 bytes
 inst/doc/lognorm.tex                               |   293 +
 inst/doc/ls.Rnw                                    |   274 +
 inst/doc/ls.pdf                                    |   Bin 0 -> 130081 bytes
 inst/doc/ls.tex                                    |   285 +
 inst/doc/mlogit.Rnw                                |   285 +
 inst/doc/mlogit.bayes.Rnw                          |   307 +
 inst/doc/mlogit.bayes.pdf                          |   Bin 0 -> 94347 bytes
 inst/doc/mlogit.bayes.tex                          |   316 +
 inst/doc/mlogit.pdf                                |   Bin 0 -> 144664 bytes
 inst/doc/mlogit.tex                                |   296 +
 inst/doc/mloglm.Rnw                                |   129 +
 inst/doc/mloglm.pdf                                |   Bin 0 -> 43976 bytes
 inst/doc/mloglm.tex                                |   116 +
 inst/doc/models/arima.aux                          |    42 -
 inst/doc/models/blogit.aux                         |    47 -
 inst/doc/models/bprobit.aux                        |    47 -
 inst/doc/models/ei.dynamic.aux                     |    47 -
 inst/doc/models/ei.hier.aux                        |    46 -
 inst/doc/models/eiRxC.aux                          |    42 -
 inst/doc/models/exp.aux                            |    46 -
 inst/doc/models/factor.bayes.aux                   |    46 -
 inst/doc/models/factor.mix.aux                     |    46 -
 inst/doc/models/factor.ord.aux                     |    46 -
 inst/doc/models/gamma.aux                          |    50 -
 inst/doc/models/irt1d.aux                          |    46 -
 inst/doc/models/irtkd.aux                          |    46 -
 inst/doc/models/logit.aux                          |    52 -
 inst/doc/models/logit.bayes.aux                    |    45 -
 inst/doc/models/lognormal.aux                      |    46 -
 inst/doc/models/ls.aux                             |    51 -
 inst/doc/models/mlogit.aux                         |    45 -
 inst/doc/models/mlogit.bayes.aux                   |    45 -
 inst/doc/models/negbin.aux                         |    50 -
 inst/doc/models/netlogit.aux                       |    42 -
 inst/doc/models/netls.aux                          |    42 -
 inst/doc/models/normal.aux                         |    50 -
 inst/doc/models/normal.bayes.aux                   |    45 -
 inst/doc/models/ologit.aux                         |    45 -
 inst/doc/models/oprobit.aux                        |    44 -
 inst/doc/models/oprobit.bayes.aux                  |    45 -
 inst/doc/models/poisson.aux                        |    50 -
 inst/doc/models/poisson.bayes.aux                  |    45 -
 inst/doc/models/probit.aux                         |    50 -
 inst/doc/models/probit.bayes.aux                   |    45 -
 inst/doc/models/relogit.aux                        |    52 -
 inst/doc/models/tobit.aux                          |    46 -
 inst/doc/models/tobit.bayes.aux                    |    47 -
 inst/doc/models/weibull.aux                        |    46 -
 inst/doc/negbin.Rnw                                |   265 +
 inst/doc/negbin.pdf                                |   Bin 0 -> 87261 bytes
 inst/doc/negbin.tex                                |   264 +
 inst/doc/netlogit.Rnw                              |   199 +
 inst/doc/netlogit.pdf                              |   Bin 0 -> 115142 bytes
 inst/doc/netlogit.tex                              |   206 +
 inst/doc/netls.Rnw                                 |   190 +
 inst/doc/netls.pdf                                 |   Bin 0 -> 100596 bytes
 inst/doc/netls.tex                                 |   182 +
 inst/doc/normal.Rnw                                |   308 +
 inst/doc/normal.bayes.Rnw                          |   266 +
 inst/doc/normal.bayes.pdf                          |   Bin 0 -> 95205 bytes
 inst/doc/normal.bayes.tex                          |   277 +
 inst/doc/normal.pdf                                |   Bin 0 -> 118002 bytes
 inst/doc/normal.tex                                |   299 +
 inst/doc/ologit.Rnw                                |   267 +
 inst/doc/ologit.pdf                                |   Bin 0 -> 89133 bytes
 inst/doc/ologit.tex                                |   273 +
 inst/doc/oprobit.Rnw                               |   285 +
 inst/doc/oprobit.bayes.Rnw                         |   303 +
 inst/doc/oprobit.bayes.pdf                         |   Bin 0 -> 97739 bytes
 inst/doc/oprobit.bayes.tex                         |   309 +
 inst/doc/oprobit.pdf                               |   Bin 0 -> 159009 bytes
 inst/doc/oprobit.tex                               |   291 +
 inst/doc/poisson.Rnw                               |   251 +
 inst/doc/poisson.bayes.Rnw                         |   264 +
 inst/doc/poisson.bayes.pdf                         |   Bin 0 -> 90909 bytes
 inst/doc/poisson.bayes.tex                         |   273 +
 inst/doc/poisson.pdf                               |   Bin 0 -> 95705 bytes
 inst/doc/poisson.tex                               |   253 +
 inst/doc/probit.Rnw                                |   248 +
 inst/doc/probit.bayes.Rnw                          |   289 +
 inst/doc/probit.bayes.pdf                          |   Bin 0 -> 92535 bytes
 inst/doc/probit.bayes.tex                          |   300 +
 inst/doc/probit.pdf                                |   Bin 0 -> 83930 bytes
 inst/doc/probit.tex                                |   247 +
 inst/doc/refman.tex                                |    95 +-
 inst/doc/relogit.Rnw                               |   433 +
 inst/doc/relogit.pdf                               |   Bin 0 -> 132238 bytes
 inst/doc/relogit.tex                               |   453 +
 inst/doc/runSweave.sh                              |    11 +
 inst/doc/tobit.Rnw                                 |   232 +
 inst/doc/tobit.bayes.Rnw                           |   295 +
 inst/doc/tobit.bayes.pdf                           |   Bin 0 -> 95686 bytes
 inst/doc/tobit.bayes.tex                           |   306 +
 inst/doc/tobit.pdf                                 |   Bin 0 -> 81296 bytes
 inst/doc/tobit.tex                                 |   235 +
 inst/doc/weibull.Rnw                               |   296 +
 inst/doc/weibull.pdf                               |   Bin 0 -> 126082 bytes
 inst/doc/weibull.tex                               |   298 +
 inst/doc/zelig.aux                                 |   361 -
 inst/doc/zelig.bbl                                 |   218 -
 inst/doc/zelig.blg                                 |   105 -
 inst/doc/zelig.log                                 |  4338 --
 inst/doc/zelig.out                                 |   133 -
 inst/doc/zelig.pdf                                 | 62304 ++++++++++++++-----
 inst/doc/zelig.tex                                 |     5 +-
 inst/doc/zelig.toc                                 |   562 -
 inst/doc/zinput.tex                                |    38 +
 inst/unitTests/runit.multiple.R                    |     4 +-
 inst/zideal/zideal.RData                           |   Bin 417 -> 1263 bytes
 inst/zideal/zvcServer.R                            |     7 +
 tests/check.describe.R                             |     4 +-
 286 files changed, 110641 insertions(+), 46096 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 18f8d50..8a84358 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: Zelig
-Version: 2.8-3
-Date: 2007-05-29
+Version: 2.8-4
+Date: 2007-06-01
 Title: Everyone's Statistical Software
 Author: Kosuke Imai <kimai at Princeton.Edu>,
         Gary King <king at harvard.edu>,
@@ -22,4 +22,4 @@ Description: Zelig is an easy-to-use program that can estimate, and
         translates them into quantities of direct interest.
 License: GPL version 2 or newer
 URL: http://gking.harvard.edu/zelig
-Packaged: Tue May 29 22:48:20 2007; king
+Packaged: Fri Jun  1 03:05:56 2007; king
diff --git a/R/ate/sate.R b/R/ate/sate.R
deleted file mode 100644
index c495dc3..0000000
--- a/R/ate/sate.R
+++ /dev/null
@@ -1,53 +0,0 @@
-sate <- function(formula, model, treat, data, sims, zARGS = NULL, sARGS = NULL) {
-  tmp <- as.formula(paste(deparse(formula[[2]]), deparse(formula[[1]]),
-                          paste(treat, "+", deparse(formula[[3]]))))
-  D <- model.frame(tmp, data = data)
-  idx <- names(model.frame(formula, data = D))
-  if (treat %in% idx) 
-    one.reg <- TRUE
-  else
-    one.reg <- FALSE
-  tname <- treat
-  treat <- D[[treat]]
-  check <- unique(treat)
-  if (length(na.omit(check)) > 2)
-    stop("Treatment indicator must be binary.")
-  treat <- as.numeric(as.factor(treat))
-  if (!all(unique(treat) %in% c(0,1))) {
-    treat[treat == min(treat)] <- 0
-    treat[treat == max(treat)] <- 1
-  }
-  if (one.reg) {
-    z.out <- zelig(formula, data = D, model = model, ... = zARGS)
-    x.out <- setx(z.out, fn = NULL, cond = TRUE)
-    tidx <- match(tname, colnames(x.out))
-    x.out[, tidx] <- 1 - x.out[, tidx]
-    x.all <- x.out[, 2:ncol(x.out)]
-    x.all <- as.data.frame(x.all)
-    s.out <- sim(z.out, x = x.all[, 2:nrow(x.all)], num = sims, ... = sARGS)
-    pr.all <- matrix(as.numeric(s.out$qi$pr), nrow = sims, ncol = nrow(x.all))
-### replace with model.response
-    y.all <- matrix(x.out[,1], nrow = sims, ncol nrow(x.out), byrow = TRUE)
-    te.all <- y.all - pr.all
-    te.all[, treat == 0] <- -1 * te.all[, treat == 0]
-    s.out$qi <- s.out$qi.name <- NULL
-    s.out$qi <- list(sate = apply(te.all, 1, mean),
-                     satt = apply(te.all[, treat == 1], 1, mean))
-    s.out$qi.name <- list(sate = "Sample Average Treatment Effect for Everyone: E[Y(1)-Y(0)]",
-                          satt = "Sample Average Treatment Effect for Treated: E[Yobs(1) - Ymiss(1)]")
-    return(s.out)
-  }
-  else {
-    z0 <- zelig(formula, data = D[treat == 0,], model = model, ... = zARGS)
-    z1 <- zelig(formula, data = D[treat == 1,], model = model, ... = zARGS)
-    x0 <- setx(z0, fn = NULL, cond = TRUE)
-    x1 <- setx(z1, fn = NULL, cond = TRUE)
-    tidx <- match(tname, colnames(x0))
-    x0[, tidx] <- 1 - x0[, tidx]
-    x1[, tidx] <- 1 - x1[, tidx]
-    y0 <- 
-    
-    s0 <- sim(z0, x = x0, num = round(sims / 2), ... = sARGS)
-    s1 <- sim(z1, x = x1, num = round(sims / 2), ... = sARGS)
-    pr.all <- rbind(s0$qi$pr, s1$qi$pr)
-    y.all <- 
diff --git a/R/gee/param.gee.R b/R/gee/param.gee.R
deleted file mode 100644
index d0f4554..0000000
--- a/R/gee/param.gee.R
+++ /dev/null
@@ -1,34 +0,0 @@
-param.gee <- function(object, num = NULL, bootstrap = FALSE) {
-  if (!bootstrap) {
-    coef <- mvrnorm(num, mu=coef(object), Sigma=vcov(object))
-    if (object$zelig == "normal.gee") {
-      sig2 <- object$scale
-      alpha <- sqrt(sig2)
-      res <- cbind(coef, alpha)
-    }
-    else if (object$zelig == "gamma.gee")  {
-      alpha<-1/object$scale
-      res <- cbind(coef, alpha)
-    }
-    else
-      res <- coef
-  }
-  else {
-    coef <- coef(object)
-    if (object$family$family == "gaussian") {
-      alpha <- sum(object$residuals^2)/length(object$residuals)
-      res <- c(coef, alpha)
-    }
-    else if (object$family$family == "Gamma") {
-      alpha <- object$scale
-      res <- c(coef, alpha)
-    }
-    else
-      res <- coef
-  }
-  res
-}
-
-
-
-
diff --git a/R/gee/qi.gee.R b/R/gee/qi.gee.R
deleted file mode 100644
index 1137f84..0000000
--- a/R/gee/qi.gee.R
+++ /dev/null
@@ -1,69 +0,0 @@
-qi.gee <- function(object, simpar, x, x1 = NULL, y = NULL) {
-  check <- FALSE
-  model <- object$zelig
-  k <- length(object$coef)
-  coef <- simpar[,1:k]
-  if (k < ncol(simpar)) 
-    alpha <- simpar[,(k+1):ncol(simpar)]
-  eta <- coef %*% t(x)
-  theta <- matrix(object$family$linkinv(eta), nrow = nrow(coef))
-  pr <- ev <- matrix(NA, nrow = nrow(theta), ncol = ncol(theta))
-  dimnames(pr) <- dimnames(ev) <- dimnames(theta)
-  if (model =="logit.gee") {
-    check <- TRUE
-    ev <- theta
-    for (i in 1:ncol(theta)) 
-      pr[,i] <- as.character(rbinom(length(ev[,i]), 1, ev[,i]))
-  }
-  else if (model == "normal.gee") {
-    ev <- theta
-    for (i in 1:nrow(ev)) 
-      pr[i,] <- rnorm(length(ev[i,]), mean = ev[i,], sd = alpha[i])
-  }
-  else if (model == "gamma.gee") {
-    ev <- theta * 1/alpha
-    for (i in 1:nrow(ev))  
-      pr[i,] <- rgamma(length(ev[i,]), shape = theta[i,], scale = 1/alpha[i])
-  }
-  else if (model == "poisson.gee") {
-    ev <- theta
-    for (i in 1:ncol(ev))
-      pr[,i] <- rpois(length(ev[,i]), lambda = ev[,i])
-  }
-  qi <- list(ev = ev, pr = pr)
-  qi.name <- list(ev = "Expected Values: E(Y|X)",
-                  pr = "Predicted Values: Y|X")
-  if (!is.null(x1)){
-    theta1 <- matrix(object$family$linkinv(coef %*% t(as.matrix(x1))),
-                     nrow = nrow(coef))
-    if (model == "gamma")
-      ev1 <- theta1 * 1/alpha
-    else
-      ev1 <- theta1
-    qi$fd <- ev1-ev
-    qi.name$fd <- "First Differences in Expected Values: E(Y|X1)-E(Y|X)"
-    if (model %in% c("logit", "probit", "relogit")) {
-      qi$rr <- ev1/ev
-      qi.name$rr <- "Risk Ratios: P(Y=1|X1)/P(Y=1|X)"
-    }
-  }
-  if (!is.null(y)) {
-    yvar <- matrix(rep(y, nrow(simpar)), nrow = nrow(simpar), byrow = TRUE)
-    tmp.ev <- yvar - qi$ev
-    if (check)
-      tmp.pr <- yvar - as.integer(qi$pr)
-    else
-      tmp.pr <- yvar - qi$pr
-    qi$ate.ev <- matrix(apply(tmp.ev, 1, mean), nrow = nrow(simpar))
-    qi$ate.pr <- matrix(apply(tmp.pr, 1, mean), nrow = nrow(simpar))
-    qi.name$ate.ev <- "Average Treatment Effect: Y - EV"
-    qi.name$ate.pr <- "Average Treatment Effect: Y - PR"
-  }
-  list(qi=qi, qi.name=qi.name)
-}
-
-
-
-
-
-
diff --git a/R/gee/vcov.gee.R b/R/gee/vcov.gee.R
deleted file mode 100644
index c0b7543..0000000
--- a/R/gee/vcov.gee.R
+++ /dev/null
@@ -1,3 +0,0 @@
-vcov.gee <- function(object, ...) {
- return(object$robust.variance)
-}
diff --git a/R/gee/zelig2gamma.gee.R b/R/gee/zelig2gamma.gee.R
deleted file mode 100644
index 04dec9b..0000000
--- a/R/gee/zelig2gamma.gee.R
+++ /dev/null
@@ -1,8 +0,0 @@
-zelig2gamma.gee <- function(formula, model, data, M, ...) {
-  require(gee) || stop("install gee using...")
-  mf <- match.call(expand.dots = TRUE)
-  mf$model <- mf$M <- NULL
-  mf[[1]] <- as.name("gee")
-  mf$family <- as.name("Gamma")
-  as.call(mf)
-}
diff --git a/R/gee/zelig2logit.gee.R b/R/gee/zelig2logit.gee.R
deleted file mode 100644
index 0932882..0000000
--- a/R/gee/zelig2logit.gee.R
+++ /dev/null
@@ -1,8 +0,0 @@
-zelig2logit.gee <- function(formula, model, data, M, ...) {
-  require(gee) || stop("install gee using...")
-  mf <- match.call(expand.dots = TRUE)
-  mf$model <- mf$M <- NULL
-  mf[[1]] <- as.name("gee")
-  mf$family <- as.name("binomial")
-  as.call(mf)
-}
diff --git a/R/gee/zelig2normal.gee.R b/R/gee/zelig2normal.gee.R
deleted file mode 100644
index c156d78..0000000
--- a/R/gee/zelig2normal.gee.R
+++ /dev/null
@@ -1,8 +0,0 @@
-zelig2normal.gee <- function(formula, model, data, M, ...) {
-  require(gee) || stop("install gee using...")
-  mf <- match.call(expand.dots = TRUE)
-  mf$model <- mf$M <- NULL
-  mf[[1]] <- as.name("gee")
-  mf$family <- as.name("gaussian")
-  as.call(mf)
-}
diff --git a/R/gee/zelig2poisson.gee.R b/R/gee/zelig2poisson.gee.R
deleted file mode 100644
index f0cd077..0000000
--- a/R/gee/zelig2poisson.gee.R
+++ /dev/null
@@ -1,8 +0,0 @@
-zelig2poisson.gee <- function(formula, model, data, M, ...) {
-  require(gee) || stop("install gee using...")
-  mf <- match.call(expand.dots = TRUE)
-  mf$model <- mf$M <- NULL
-  mf[[1]] <- as.name("gee")
-  mf$family <- as.name("poisson")
-  as.call(mf)
-}
diff --git a/R/help.zelig.R b/R/help.zelig.R
index fcaab99..296ed2a 100644
--- a/R/help.zelig.R
+++ b/R/help.zelig.R
@@ -1,53 +1,58 @@
 help.zelig <- function (...)  {
-  zipped <- FALSE
-  loc <- NULL
-  name <- c(as.character(substitute(list(...))[-1]), list)[[1]]
-  if (length(name) == 0) 
-    loc <- "http://gking.harvard.edu/zelig"
-  paths <- .find.package("Zelig")
-  if (length(paths) > 1)
-    warning(paste("Zelig installed in", length(paths), "locations.  Using\n     ", paths[1]))
-  path <- paths[1]
-  path <- file.path(path, "data")
-  if (file_test("-f", file.path(path, "Rdata.zip"))) {
-    zipped <- TRUE
-    if (tools::file_test("-f", fp <- file.path(path, "filelist"))) 
-      files <- file.path(path, scan(fp, what = "", quiet = TRUE))
-    else 
-      stop(gettextf("file 'filelist' is missing for directory '%s'", 
-                    path), domain = NA)
-  }
-  else 
-    files <- list.files(path, full = TRUE)
-  files <- files[which(regexpr("url", files) > 0)]
-  if (length(files) == 0)
-    loc <- "http://gking.harvard.edu/zelig"
-  else {
-    zfile <- array()
-    for (f in 1:length(files)) {
-      if (zipped) 
-        zfile[f] <- zip.file.extract(files[f], "Rdata.zip")
-      else
-        zfile <- files
-    }
-    tab <- read.table(zfile[1], header = FALSE, as.is = TRUE)
-    if (length(zfile) > 1) {
-      for (i in 2:length(zfile)) 
-        tab <- rbind(tab, read.table(zfile[i], header = FALSE, as.is = TRUE))
-    }
-    loc <- tab[which(as.character(tab[, 1]) == name), 2]
-  }
-  if (is.null(loc)) { 
-    cat("Warning: Requested topic not found in Zelig help.  \n If you are sure the topic exists, please check \n the full documentation at http://gking.harvard.edu/zelig.  \n Now searching R-help.\n\n")
-    topic <- as.name(name)
-    do.call("help", list(topic, htmlhelp = TRUE))
-  }
-  else {
-    browseURL(loc)
-    invisible(name)
-  }
-  if (zipped) {
-    for (i in 1:length(zfile))
-      on.exit(unlink(zfile[i]))
-  }
+        
+        
+###  system(paste(getOption("pdfviewer"), system.file("doc/models/", "graphs.pdf",package="Zelig", lib.loc="~/.R/library")))
+###  oprsys <- .Platform$OS.type
+###  showpdf <- getOption("pdfviewer") unix
+###  showpdf <- shell.exec()  windows
+        driver  <- match.call()
+        driver  <- as.character(driver)
+        name <- NULL
+        if(length(driver) > 1) name <- driver[2]
+        
+        filesPDf <- NULL
+        
+        helpfile <- try(system.file("Meta", "vignette.rds", package="Zelig"))
+        
+        if(helpfile!=""){
+                helpMtrx <- .readRDS(helpfile)
+                ix <- grep("[pP][dD][fF]", colnames(helpMtrx))
+                if(length(ix)) filesPDF <- helpMtrx[,ix]
+                
+                if(length(filesPDF) && length(name))
+                  {
+                          fl  <- paste("^",name,".pdf$",sep="")
+                          ix  <- grep(fl,filesPDF)
+                          if(length(ix)){
+                                  file <- filesPDF[ix]
+                                  print(do.call("vignette", c(list(topic=name),list(package="Zelig"))))
+                                  return(list())
+                          }
+                  }
+        }
+        helpfile  <- try(system.file("Meta", "hsearch.rds", package="Zelig"))
+        
+        fileshtml <- NULL
+        if(helpfile != "")
+          {
+                  helpMtrx  <- .readRDS(helpfile)
+                  fileshtml <- helpMtrx[[2]][,"Aliases"]
+                  ix <- grep("url$", fileshtml)
+                  if(length(ix))
+                    fileshtml <- fileshtml[-ix]
+                  if(length(fileshtml) && length(name))
+                    {
+                            ix <- grep(name, fileshtml)
+                            
+                            if(length(ix)){
+                                    
+                                    print(do.call("help", c(list(as.name(name)), list(package="Zelig")), envir=parent.frame()))
+                                    return(NULL)
+                            }
+                            
+                                              }
+          }
+        message("Not valid input...Showing package description")
+        do.call("help", c(list("zelig"), list(package="Zelig")), envir=parent.frame())
 }
+
diff --git a/R/load.first.R b/R/load.first.R
index eec9c42..223073b 100644
--- a/R/load.first.R
+++ b/R/load.first.R
@@ -12,4 +12,8 @@
     require(boot) 
   options(digits = 4)
   library.dynam("stats")
+
+  ## add viggnettes menu
+  addVigs2WinMenu("Zelig")
+
 }
diff --git a/R/systemfit/2sls.tex b/R/systemfit/2sls.tex
deleted file mode 100644
index 890ad21..0000000
--- a/R/systemfit/2sls.tex
+++ /dev/null
@@ -1 +0,0 @@
-\documentclass[12pt]{book}%
\usepackage{amsfonts}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{graphicx}
\usepackage{fullpage}
\usepackage{multirow}
\usepackage{hyperref}%
\usepackage{bibentry}
\begin{document}
\subsection{\texttt{2sls}: Two Stage Least Squares}
\label{2sls}
\texttt{2sls} provides consistent estimates for linear regression models with 
some explanatory variable (the instrumental variable) 
correlated with the error term. 
In this situation, ordinary least squares fails to provide consistent 
estimates. The name two-stage least squares stems from the two regressions 
in the estimation procedure. In stage one, an ordinary least squares 
prediction of the instrumental variable is obtained from regressing it on
the instrument variables. In stage two, the coefficients of interst are 
estimated using ordinary least square after substituting the instrumental 
variable by its predictions from stage one. 

\subsubsection{Syntax}
\begin{verbatim}
> fml <- list ("mu"  = Y ~ X + Z,
               "inst" = Z ~ W + X)
> z.out <- zelig(formula = fml, model = "2sls", data = mydata)
> x.out <- setx(z.out)
> s.out <- sim(z.out, x = x.out)
\end{verbatim}
\subsubsection{Inputs}
\texttt{2sls} regression take the following inputs:
\begin{itemize}
\item \texttt{formula}:a list of the main equation and instrumental variable 
equation. The first object in the list \texttt{mu} corresponds to the 
regression model needs to be estimated. The second list object \texttt{inst} 
specifies the regression model for the instrumental variable \texttt{Z}.
For example:
\begin{verbatim}
> fml <- list ("mu"  = Y ~ X + Z,
	       "inst" = Z ~ W + X)
\end{verbatim}
\begin{itemize}
\item \texttt{Y}: the dependent variable of interest.
\item \texttt{Z}: the instrumental variable.
\item \texttt{W}: exogenous instrument variables.
\end{itemize}
\end{itemize}
\subsubsection{Additional Inputs}
\texttt{2sls} takes the following additional inputs for model
specifications:
\begin{itemize}
\item \texttt{TX}: an optional matrix to transform the regressor
matrix and, hence, also the coefficient vector (see \ref{details}). Default is \texttt{NULL}.
\item \texttt{rcovformula}: formula to calculate the estimated residual covariance
matrix (see \ref{details}). Default is equal to 1.
\item \texttt{probdfsys}: use the degrees of freedom of the whole system
(in place of the degrees of freedom of the single equation to calculate probability
values for the t-test of individual parameters. 
\item \texttt{single.eq.sigma}: use different $\sigma^2$ for each single
equation to calculate the covariance matrix and the standard errors of the coefficients.
\item \texttt{solvetol}: tolerance level for detecting linear dependencies when 
inverting a matrix or calculating a determinant. Default is \texttt {solvetol}=.Machine\$double.eps.
\item \texttt{saveMemory}: logical. Save memory by omitting some calculation that are
not crucial for the basic estimate (e.g McElroy's $R^2$).
\end{itemize}
\subsubsection{Details}
\label{details}
\begin{itemize}
\item \texttt{TX}: The matrix \texttt{TX} transforms the regressor matrix 
($X$) by $X\ast=X \times TX$. Thus,
the vector of coefficients is now $b=TX \times b\ast$ where $b$ is the 
original(stacked) 
vector of all coefficients and $b\ast$ is the new coefficient vector 
that is estimated instead.
Thus, the elements of vector $b$ and $b_i = \sum_j TX_{ij}\times b_j\ast$. The $TX$ matrix can be
used to change the order of the coefficients and also to restrict coefficients (if $TX$ has 
less columns than it has rows).
\item \texttt{rcovformula}: The formula to calculate the estimated covariance matrix of the residuals($\hat{\Sigma}$)can be one
of the following (see Judge et al., 1955, p.469):
if \texttt{rcovformula}= 0:
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T}
\end{eqnarray*}
if \texttt{rcovformula}= 1 or \texttt{rcovformula}='geomean':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{\sqrt{(T-k_i)\times (T-k_j)}}
\end{eqnarray*}
if \texttt{rcovformula}= 2 or \texttt{rcovformula}='Theil':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T-k_i-k_j+tr[X_i(X_i\prime X_i)^{-1}X_i\prime X_j(X_j\prime X_j)^{-1}X_j\prime]}
\end{eqnarray*}
if \texttt{rcovformula}= 3 or \texttt{rcovformula}='max':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T-max(k_i,k_j)}
\end{eqnarray*}
If $i = j$, formula 1, 2, and 3 are equal. All these three formulas yield unbiased estimators
for the diagonal elements of the residual covariance matrix. If $i neq j$, only formula 2
yields an unbiased estimator for the residual covariance matrix, but it is not necessarily
positive semidefinit. Thus, it is doubtful whether formula 2 is really superior to formula 1
\end{itemize}
\subsubsection{Examples}
\subsubsection{Model}
Let's consider the following regression model,
\begin{eqnarray*}
Y_i=X_i\beta + Z_i\gamma + \epsilon_i, \quad  i=1,\ldots,N
\end{eqnarray*}
where $Y_i$ is the dependent variable, 
$X_i = (X_{1i},\ldots, X_{Ni})$ is the vector of explanatory variables, 
$\beta$ is the vector of coefficients of the explanatory variables $X_i$, 
$Z_i$ 
is the problematic explanatory variable, and $\gamma$ is the coefficient
 of $Z_i$.  In the equation, there is a direct dependence of $Z_i$ 
on the structural disturbances of $\epsilon$.
\begin{itemize}
\item The \emph{stochastic component} is given by
\begin{eqnarray*}
\epsilon_i  &  \sim & {\cal N}(0, \sigma^2), \quad {\rm and} \quad
{\rm cov}(Z_i, \epsilon_i) \ne 0,
\end{eqnarray*}
\item The \emph{systematic component} is given by:
\begin{eqnarray*}
\mu_{i}= E(Y_i)= X_{i}\beta + Z_i\gamma,
\end{eqnarray*}
\end{itemize}
\noindent To correct the problem caused by the correlation of $Z_i$ and $\epsilon$, 
two stage least squares utilizes two steps:
\begin{itemize}
\item \emph{Stage 1}: A new instrumental variable $\hat{Z}$ is created 
for $Z_i$ which is the ordinary least squares predictions from regressing 
$Z_i$ on a set of exogenous instruments $W$ and $X$.
\begin{eqnarray*}
\widehat{Z_i} = \widetilde{W}_i[(\widetilde{W}^\top\widetilde{W})^{-1}\widetilde{W}^\top Z]
\end{eqnarray*}
where $\widetilde{W} = (W,X)$
\item \emph{Stage 2}: Substitute for $\hat{Z}_i$ for $Z_i$ in the original 
equation, estimate $\beta$ and $\gamma$ by ordinary least squares regression
of $Y$ on $X$ and $\hat{Z}$ as in the following equation. 
\begin{eqnarray*}
Y_i=X_i\beta + \widehat{Z_i}\gamma + \epsilon_i,  \quad {\rm for} 
\quad   i=1,\ldots,N
\end{eqnarray*}
\end{itemize}
\subsubsection{See Also}
For information about three stage least square regression, see 
\Sref{3sls} and \texttt{help(3sls)}.
For information about seemingly unrelated regression, see
\Sref{sur} and \texttt{help(sur)}.
\subsubsection{Quantities of Interest}
\subsubsection{Output Values}
The output of each Zelig command contains useful information which you may
view. For example, if you run:
\begin{verbatim}
z.out <- zelig(formula=fml, model = "2sls", data)
\end{verbatim}
\noindent then you may examine the available information in \texttt{z.out} by
using \texttt{names(z.out)}, see the draws from the posterior distribution of
the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
summary of information through \texttt{summary(z.out)}. Other elements
available through the \texttt{\$} operator are listed below:
\begin{itemize}
\item \texttt{h}: matrix of all (diagonally stacked) instrumental variables.
\item \texttt{single.eq.sigma}: different $\sigma^2$s for each single equation?.
\end{itemize}

\input{systemfit_output}

\begin{itemize}
\item \texttt{inst*}: instruments of the ith equation.
\item \texttt{h*}: matrix of instrumental variables of the ith equation. 
\end{itemize}
\subsubsection{Contributors}
The \texttt{2sls} function is adapted from \input{contributors_systemfit}
\end{document}
\ No newline at end of file
diff --git a/R/systemfit/3sls.tex b/R/systemfit/3sls.tex
deleted file mode 100644
index bb266b3..0000000
--- a/R/systemfit/3sls.tex
+++ /dev/null
@@ -1 +0,0 @@
-\documentclass[12pt]{book}%
\usepackage{amsfonts}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{graphicx}
\usepackage{fullpage}
\usepackage{multirow}
\usepackage{hyperref}%
\usepackage{bibentry}
\begin{document}
\subsection{\texttt{3sls}: Three Stage Least Squares}
\label{3sls}
\texttt{3sls} is a combination of two stage least squares
and seemingly unrelated regression. It provides consistent estimates for linear regression models with 
explanatory variables correlated with the error term. It also extends ordinary least squares 
analysis to estimate system of linear equations with correlated error terms
\subsubsection{Syntax}
\begin{verbatim}
> fml <- list ("mu1"  = Y1 ~ X1 + Z1,
               "mu2"  = Y2 ~ X2 + Z2,
               "inst1" = Z1 ~ W1 + X1,
               "inst2" = Z2 ~ W2 + X2)
> z.out <- zelig(formula = fml, model = "3sls", data = mydata)
> x.out <- setx(z.out)
> s.out <- sim(z.out, x = x.out)
\end{verbatim}
\subsubsection{Inputs}
\texttt{3sls} regression specification requires at least two sets of equations. The first set of $M$ euqations
corresponds to the $M$ dependent variables ($Y_1,\ldots,Y_M$) to be estimated. The second set of equations ($Z$)
corresponds to the instrumental variables in the $M$ equations.
\begin{itemize}
\item \texttt{formula}:a list of the system of equations and instrumental variable 
equations. The system of equations is listed first as \texttt{mu}s. The equations
for the instrumental variables are listed next as \texttt{inst}s.
For example:
\begin{verbatim}
> fml <- list ("mu1"  = Y1 ~ X1 + Z1,
               "mu2"  = Y2 ~ X2 + Z2,
               "inst1" = Z1 ~ W1 + X1,
               "inst2" = Z2 ~ W2 + X2)
\end{verbatim}
\texttt{"mu1"} is the first equation in the two equation model with \texttt{Y1}
as the dependent variable and \texttt{X1} and \texttt{Z1} as
the explanatory variables. \texttt{"mu2"} is the second equation with 
\texttt{Y2} as the dependent variable
and \texttt{X2} and \texttt{Z2} as the explanatory variables. 
\texttt{Z1} and \texttt{Z2} are also problematic endogenous variables, so
they are estimated through instruments in the \texttt{"inst1"} 
and \texttt{"inst2"} equations.
\item \texttt{Y}: dependent variables of interest in the system of equations.
\item \texttt{Z}: the problematic explanatory variables correlated with 
the error term.
\item \texttt{W}: exogenous instrument variables used to estimate the 
problematic explanatory variables (\texttt{Z})
\end{itemize}
\subsubsection{Additional Inputs}
\texttt{3sls} takes the following additional inputs for model
specifications:
\begin{itemize}
\item \texttt{TX}: an optional matrix to transform the regressor
matrix and, hence, also the coefficient vector (see details). Default is \texttt{NULL}.
\item \texttt{maxiter}: maximum number of iterations.
\item \texttt{tol}: tolerance level indicating when to stop the iteration.
\item \texttt{rcovformula}: formula to calculate the estimated residual covariance
matrix (see details). Default is equal to 1.
\item \texttt{formula3sls}: formula for calculating the 3sls estimator, one of ``GLS'',
``IV'', ``GMM'', ``Schmidt'', or ``Eviews'' (see details.)
\item \texttt{probdfsys}: use the degrees of freedom of the whole system
(in place of the degrees of freedom of the single equation to calculate probability
values for the t-test of individual parameters. 
\item \texttt{single.eq.sigma}: use different $\sigma^2$ for each single
equation to calculate the covariance matrix and the standard errors of the coefficients.
\item \texttt{solvetol}: tolerance level for detecting linear dependencies when 
inverting a matrix or calculating a determinant. Default is \texttt {solvetol}=.Machine\$double.eps.
\item \texttt{saveMemory}: logical. Save memory by omitting some calculation that are
not crucial for the basic estimate (e.g McElroy's $R^2$).
\end{itemize}
\subsubsection{Details}
The matrix \texttt{TX} transforms the regressor matrix ($X$) by $X\ast=X \times TX$. Thus,
the vector of coefficients is now $b=TX \times b\ast$ where $b$ is the original(stacked) 
vector of all coefficients and $b\ast$ is the new coefficient vector that is estimated instead.
Thus, the elements of vector $b$ and $b_i = \sum_j TX_{ij}\times b_j\ast$. The $TX$ matrix can be
used to change the order of the coefficients and also to restrict coefficients (if $TX$ has 
less columns than it has rows). 
If iterated (with \texttt{maxit}>1), the covergence criterion is
\begin{eqnarray*}
\sqrt{\frac{\sum_i(b_{i,g}-b_{i,g-1})^2}{\sum_ib_{i,g-1}^2}} < tol
\end{eqnarray*}
where $b_{i,g}$ is the ith coefficient of the gth iteration step.
The formula (\texttt{rcovformula} to calculate the estimated covariance matrix of the residuals($\hat{\Sigma}$)can be one
of the following (see Judge et al., 1955, p.469):
if \texttt{rcovformula}= 0:
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T}
\end{eqnarray*}
if \texttt{rcovformula}= 1 or \texttt{rcovformula}='geomean':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{\sqrt{(T-k_i)\times (T-k_j)}}
\end{eqnarray*}
if \texttt{rcovformula}= 2 or \texttt{rcovformula}='Theil':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T-k_i-k_j+tr[X_i(X_i\prime X_i)^{-1}X_i\prime X_j(X_j\prime X_j)^{-1}X_j\prime]}
\end{eqnarray*}
if \texttt{rcovformula}= 3 or \texttt{rcovformula}='max':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T-max(k_i,k_j)}
\end{eqnarray*}
If $i = j$, formula 1, 2, and 3 are equal. All these three formulas yield unbiased estimators
for the diagonal elements of the residual covariance matrix. If $i neq j$, only formula 2
yields an unbiased estimator for the residual covariance matrix, but it is not necessarily
positive semidefinit. Thus, it is doubtful whether formula 2 is really superior to formula 1
(Theil, 1971, p.322).
The formulas to calculate the 3sls estimator lead to identical results 
if the same instruments are used in all equations. If different instruments 
are used in the different equations, only the GMM-3sls estimator (``GMM'') 
and the 3sls estimator proposed by Schmidt (1990) (``Schmidt'') are consistent, whereas 
``GMM'' is efficient relative to ``Schmidt'' (see Schmidt, 1990).
\subsubsection{Examples}
\subsubsection{Model}
\subsubsection{See Also}
For information about two stage least square regression, see 
\Sref{2sls} and \texttt{help(2sls)}.
For information about seemingly unrelated regression, see
\Sref{sur} and \texttt{help(sur)}.
\subsubsection{Quantities of Interest}
\subsubsection{Output Values}
The output of each Zelig command contains useful information which you may
view. For example, if you run:
\begin{verbatim}
z.out <- zelig(formula=fml, model = "3sls", data)
\end{verbatim}
\noindent then you may examine the available information in \texttt{z.out} by
using \texttt{names(z.out)}, see the draws from the posterior distribution of
the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
summary of information through \texttt{summary(z.out)}. Other elements
available through the \texttt{\$} operator are listed below:
\begin{itemize}
\item \texttt{rcovest}: residual covariance matrix used for estimation.
\item \texttt{mcelr2}: McElroys R-squared value for the system.
\item \texttt{h}: matrix of all (diagonally stacked) instrumental variables.
\item \texttt{formula3sls}: formula for calculating the 3sls estimator 
\end{itemize}
\input{systemfit_output}
\begin{itemize}
\item \texttt{inst*}: instruments of the ith equation.
\item \texttt{h*}: matrix of instrumental variables of the ith equation. 
\end{itemize}
\subsubsection{Contributors}
The \texttt{3sls} function is adapted from \input{contributors_systemfit}
\end{document}
\ No newline at end of file
diff --git a/R/systemfit/callsystemfit.R b/R/systemfit/callsystemfit.R
deleted file mode 100644
index 9697313..0000000
--- a/R/systemfit/callsystemfit.R
+++ /dev/null
@@ -1,7 +0,0 @@
-callsystemfit<-function(formula,data,method,inst=NULL,...){
-  t<-terms.multiple(formula)
-  out<-systemfit(data=data,eqns=formula,method=method,inst=inst,...)
-  attr(out,"terms")<-t
-  class(out)<-c(class(out),"multiple")
-  return (out)
-}
diff --git a/R/systemfit/cmsystemfit.R b/R/systemfit/cmsystemfit.R
deleted file mode 100644
index 09b5de3..0000000
--- a/R/systemfit/cmsystemfit.R
+++ /dev/null
@@ -1,19 +0,0 @@
-cmsystemfit<-function(formu,omit=NULL,...){
-  tr<-terms.multiple(formu,omit)  
-  ev<-attr(tr,"term.labels") 
-  dv<-all.vars(attr(tr,"variables")[[2]],unique=FALSE)
-  om<-attr(tr,"omit")
-  syst<-res<-list()
-  for(i in 1:length(dv)){
-    syst[[i]]<- ev[om[i,]==0]
-    res[[i]]<-paste(dv[i],"~")
-    for(j in 1:(length(syst[[i]])-1)){
-      res[[i]]<-paste(res[[i]],syst[[i]][j])
-      res[[i]]<-paste(res[[i]],"+")    
-    }
-    res[[i]]<-paste(res[[i]],syst[[i]][length(syst[[i]])])
-    res[[i]]<-as.formula(res[[i]])
-            
-  }
-  return (res)
-}
diff --git a/R/systemfit/describe.2sls.R b/R/systemfit/describe.2sls.R
deleted file mode 100644
index 07c491f..0000000
--- a/R/systemfit/describe.2sls.R
+++ /dev/null
@@ -1,18 +0,0 @@
-describe.2sls<-function(){
-category <- "continuous"
-description  <- "Two Stage Least Squares"
-package <-list(	name 	="systemfit",
-		version	="0.8",
-		)
-parameters<-list(mu="mu", inst="inst")
-parameters$mu<-list(equations=c(2,Inf),
-			tagsAllowed=TRUE,
-			depVar=TRUE,
-			expVar=TRUE)
-			
-parameters$inst<-list(equations=c(1,1),
-			tagsAllowed=FALSE,
-			depVar=FALSE,
-			expVar=TRUE)
-list(category=category,description=description,package=package,parameters=parameters)
-}
diff --git a/R/systemfit/describe.3sls.R b/R/systemfit/describe.3sls.R
deleted file mode 100644
index 7809b12..0000000
--- a/R/systemfit/describe.3sls.R
+++ /dev/null
@@ -1,18 +0,0 @@
-describe.3sls<-function(){
-category <- "continuous"
-description  <- "Three Stage Least Squares"
-package <-list(	name 	="systemfit",
-		version	="0.8",
-		)
-parameters<-list(mu="mu", inst="inst")
-parameters$mu<-list(equations=c(2,Inf),
-			tagsAllowed=TRUE,
-			depVar=TRUE,
-			expVar=TRUE)
-			
-parameters$inst<-list(equations=c(1,1),
-			tagsAllowed=FALSE,
-			depVar=FALSE,
-			expVar=TRUE)
-list(category=category,description=description,package=package,parameters=parameters)
-}
diff --git a/R/systemfit/param.multiple.R b/R/systemfit/param.multiple.R
deleted file mode 100644
index 6b26b0a..0000000
--- a/R/systemfit/param.multiple.R
+++ /dev/null
@@ -1,19 +0,0 @@
-param.multiple <- function(object, num = NULL, bootstrap = FALSE) {
-  if (!bootstrap) {
-    coef <- mvrnorm(num, mu=coef(object), Sigma=vcov(object))
-    if (object$zelig %in% c("sur","2sls","w2sls","3sls")) {
-      res <- coef
-    }
-    else
-      res <- coef
-  }
-  else {
-    coef <- coef(object)
-      res <- coef
-  }
-  res
-}
-
-
-
-
diff --git a/R/systemfit/plot.zelig.2sls.R b/R/systemfit/plot.zelig.2sls.R
deleted file mode 100644
index 973ba9a..0000000
--- a/R/systemfit/plot.zelig.2sls.R
+++ /dev/null
@@ -1,14 +0,0 @@
-plot.zelig.2sls <- function(x, xlab = "", user.par = FALSE, ...) {
-  k <- length(x$qi)
-  op <- par(no.readonly = TRUE)
-  if (!user.par) 
-    par(mar = c(4,4,2,1), tcl = -0.25, mgp = c(2, 0.6, 0))
-  par(mfrow = c(k, dims(x$qi[[1]])[2]))
-  for (i in 1:k) {
-    for (j in 1:dims(x$qi[[i]])[2]){
-      qi <- as.vector((x$qi[[i]])[,j])
-      plot(density(qi), main = x$qi.name[[i]], xlab = xlab, ...)
-    }
-  }
-  par(op)
-}
diff --git a/R/systemfit/plot.zelig.3sls.R b/R/systemfit/plot.zelig.3sls.R
deleted file mode 100644
index 8507059..0000000
--- a/R/systemfit/plot.zelig.3sls.R
+++ /dev/null
@@ -1,14 +0,0 @@
-plot.zelig.3sls <- function(x, xlab = "", user.par = FALSE, ...) {
-  k <- length(x$qi)
-  op <- par(no.readonly = TRUE)
-  if (!user.par) 
-    par(mar = c(4,4,2,1), tcl = -0.25, mgp = c(2, 0.6, 0))
-  par(mfrow = c(k, dims(x$qi[[1]])[2]))
-  for (i in 1:k) {
-    for (j in 1:dims(x$qi[[i]])[2]){
-      qi <- as.vector((x$qi[[i]])[,j])
-      plot(density(qi), main = x$qi.name[[i]], xlab = xlab, ...)
-    }
-  }
-  par(op)
-}
diff --git a/R/systemfit/plot.zelig.sur.R b/R/systemfit/plot.zelig.sur.R
deleted file mode 100644
index 691e8e1..0000000
--- a/R/systemfit/plot.zelig.sur.R
+++ /dev/null
@@ -1,14 +0,0 @@
-plot.zelig.sur <- function(x, xlab = "", user.par = FALSE, ...) {
-  k <- length(x$qi)
-  op <- par(no.readonly = TRUE)
-  if (!user.par) 
-    par(mar = c(4,4,2,1), tcl = -0.25, mgp = c(2, 0.6, 0))
-  par(mfrow = c(k, dims(x$qi[[1]])[2]))
-  for (i in 1:k) {
-    for (j in 1:dims(x$qi[[i]])[2]){
-      qi <- as.vector((x$qi[[i]])[,j])
-      plot(density(qi), main = x$qi.name[[i]], xlab = xlab, ...)
-    }
-  }
-  par(op)
-}
diff --git a/R/systemfit/plot.zelig.w2sls.R b/R/systemfit/plot.zelig.w2sls.R
deleted file mode 100644
index 925a660..0000000
--- a/R/systemfit/plot.zelig.w2sls.R
+++ /dev/null
@@ -1,14 +0,0 @@
-plot.zelig.w2sls <- function(x, xlab = "", user.par = FALSE, ...) {
-  k <- length(x$qi)
-  op <- par(no.readonly = TRUE)
-  if (!user.par) 
-    par(mar = c(4,4,2,1), tcl = -0.25, mgp = c(2, 0.6, 0))
-  par(mfrow = c(k, dims(x$qi[[1]])[2]))
-  for (i in 1:k) {
-    for (j in 1:dims(x$qi[[i]])[2]){
-      qi <- as.vector((x$qi[[i]])[,j])
-      plot(density(qi), main = x$qi.name[[i]], xlab = xlab, ...)
-    }
-  }
-  par(op)
-}
diff --git a/R/systemfit/qi.multiple.R b/R/systemfit/qi.multiple.R
deleted file mode 100644
index 7f69581..0000000
--- a/R/systemfit/qi.multiple.R
+++ /dev/null
@@ -1,60 +0,0 @@
-qi.multiple <- function(object, simpar, x, x1 = NULL, y = NULL) {
- 
-  check <- FALSE
-  model <- object$zelig
-  coef<-list()
-  om<-attr(object$terms,"omit")
-  nreq<-nrow(om)
-
-  start<-1
-  for(i in 1:nreq){
-    eqni<-paste("eqn",i,sep="")
-    coef[[i]]<-simpar[,start:(start+length(attr(x,eqni))-1)]
-    start<-start+length(attr(x,eqni))
-  }
-
-  fillmatrix<-function(simpar,x,nreq){
-    r<-list()
-    eta<-list()
-    if(nrow(x)==1)
-      q<-array(NA,c(nrow(simpar),nreq))
-    else
-      q<- array(NA,c(nrow(simpar),nreq,nrow(x)))
-
-    for(i in 1:nreq){
-      eqn=paste("eqn",i,sep="")
-      r[[i]]= as.matrix(x[,attr(x,eqn)])
-      if(ncol(r[[i]])==1){
-        eta[[i]] <- coef[[i]] %*% r[[i]]  
-        q[,i] <- eta[[i]]
-      }
-      else
-        {
-          eta[[i]] <- coef[[i]] %*% t(r[[i]])
-          q[,i,] <- eta[[i]]
-        }
-    }
-    return (q)
-
-  }
-  pr<-ev<-fillmatrix(simpar,x,nreq)
-
-  qi <- list(ev = ev,pr=pr)
-  qi.name <- list(ev = "Expected Values: E(Y|X)",pr = "Predicted Values: Y|X")
-
-  
-  if (!is.null(x1)){
-      theta1<-fillmatrix(simpar,x1,nreq)
-      ev1 <- theta1
-      qi$fd <- ev1-ev
-      qi.name$fd <- "First Differences in Expected Values: E(Y|X1)-E(Y|X)"
-
-  }
-  list(qi=qi, qi.name=qi.name)
-}
-
-
-
-
-
-
diff --git a/R/systemfit/sur.tex b/R/systemfit/sur.tex
deleted file mode 100644
index acf9d4b..0000000
--- a/R/systemfit/sur.tex
+++ /dev/null
@@ -1 +0,0 @@
-\documentclass[12pt]{book}%
\usepackage{amsfonts}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{graphicx}
\usepackage{fullpage}
\usepackage{multirow}
\usepackage{hyperref}%
\usepackage{bibentry}
\begin{document}
\subsection{\texttt{sur}: Seemingly Unrelated Regression}
\label{sur}
\texttt{sur} extends ordinary least squares analysis to estimate system of linear 
equations with correlated error terms. The seemingly unrelated regression model can
be viewed as a special case of generalized least squares.
\subsubsection{Syntax}
\begin{verbatim}
> fml <- list ("mu1" = Y1 ~ X1,
	       "mu2" = Y2 ~ X2,
               "mu3" = Y3 ~ X3)
> z.out<-zelig(formula = fml, model = "2sls", data = mydata)
> x.out <- setx(z.out)
> s.out <- sim(z.out, x = x.out)
\end{verbatim}
\subsubsection{Inputs}
\texttt{sur} regression specification has at least $M$ equations 
($M \ge 2$) corresponding to the dependent variables ($Y_1, Y_2, \ldots, Y_M$).
\begin{itemize}
\item \texttt{formula}:a list whose elements are formulae corresponding to 
the $M$ equations and their respective dependent and explanatory variables.
For example, when there are no constraints on the coefficients:
\begin{verbatim}
> fml <- list ("mu1" = Y1 ~ X1,
	       "mu2" = Y2 ~ X2,
               "mu3" = Y3 ~ X3)
\end{verbatim}
\texttt{"mu1"} is the label for the first equation with Y1 as the dependent variable
and X1 as the explanatory variable. Similarly \texttt{"mu2"} and \texttt{"mu3"} are the
labels for the Y2 and Y3 equations.
\item \texttt{tag}: Users can also put constraints on the coefficients by using
the special function \texttt{tag}. \texttt{tag} takes two parameters. The first
parameter is the variable whose coefficient needs to be constrained and the second
parameter is label for the constrained coefficient. Each label uniquely identifies
the constrained coefficient. For example:
\begin{verbatim}
> fml <- list ("mu1" = Y1 ~ tag(Xc,"constrain1")+ X1,
	       "mu2" = Y2 ~ tag(Xc,"constrain1")+ X2,
               "mu3" = Y3 ~ X3)
\end{verbatim}
\end{itemize}
\subsubsection{Additional Inputs}
\texttt{sur} takes the following additional inputs for model
specifications:
\begin{itemize}
\item \texttt{TX}: an optional matrix to transform the regressor
matrix and, hence, also the coefficient vector (see details). Default is \texttt{NULL}.
\item \texttt{maxiter}: maximum number of iterations.
\item \texttt{tol}: tolerance level indicating when to stop the iteration.
\item \texttt{rcovformula}: formula to calculate the estimated residual covariance
matrix (see details). Default is equal to 1.
\item \texttt{probdfsys}: use the degrees of freedom of the whole system
(in place of the degrees of freedom of the single equation to calculate probability
values for the t-test of individual parameters. 
\item \texttt{solvetol}: tolerance level for detecting linear dependencies when 
inverting a matrix or calculating a determinant. Default is \texttt {solvetol}= \begin{verbatim}.Machine\$double.eps.\end{verbatim}
\item \texttt{saveMemory}: logical. Save memory by omitting some calculation that are
not crucial for the basic estimate (e.g McElroy's $R^2$).
\end{itemize}
\subsubsection{Details}
The matrix \texttt{TX} transforms the regressor matrix ($X$) by $X\ast=X \times TX$. Thus,
the vector of coefficients is now $b=TX \times b\ast$ where $b$ is the original(stacked) 
vector of all coefficients and $b\ast$ is the new coefficient vector that is estimated instead.
Thus, the elements of vector $b$ and $b_i = \sum_j TX_{ij}\times b_j\ast$. The $TX$ matrix can be
used to change the order of the coefficients and also to restrict coefficients (if $TX$ has 
less columns than it has rows). 
If iterated (with \texttt{maxit}>1), the covergence criterion is
\begin{eqnarray*}
\sqrt{\frac{\sum_i(b_{i,g}-b_{i,g-1})^2}{\sum_ib_{i,g-1}^2}}< tol
\end{eqnarray*}
where $b_{i,g}$ is the ith coefficient of the gth iteration step.
The formula (\texttt{rcovformula} to calculate the estimated covariance matrix of the residuals($\hat{\Sigma}$)can be one
of the following (see Judge et al., 1955, p.469):
if \texttt{rcovformula}= 0:
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T}
\end{eqnarray*}
if \texttt{rcovformula}= 1 or \texttt{rcovformula}='geomean':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{\sqrt{(T-k_i)\times (T-k_j)}}
\end{eqnarray*}
if \texttt{rcovformula}= 2 or \texttt{rcovformula}='Theil':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T-k_i-k_j+tr[X_i(X_i\prime X_i)^{-1}X_i\prime X_j(X_j\prime X_j)^{-1}X_j\prime]}
\end{eqnarray*}
if \texttt{rcovformula}= 3 or \texttt{rcovformula}='max':
\begin{eqnarray*}
\hat{\sigma_{ij}}= \frac{\hat{e_i}\prime\hat{e_j}}{T-max(k_i,k_j)}
\end{eqnarray*}
If $i = j$, formula 1, 2, and 3 are equal. All these three formulas yield unbiased estimators
for the diagonal elements of the residual covariance matrix. If $i neq j$, only formula 2
yields an unbiased estimator for the residual covariance matrix, but it is not necessarily
positive semidefinit. Thus, it is doubtful whether formula 2 is really superior to formula 1
(Theil, 1971, p.322).
\subsubsection{Examples}
\subsubsection{Model}
The basic seemingly unrelated regression model assumes that for each individual
observation $i$ there are $M$ dependent variables ($Y_{ij}, j=1,\ldots,M$) 
each with its own regression equation:
\begin{eqnarray*}
Y_{ij} = X_{ij}'\beta_j + \epsilon_{ij}, \quad  {\rm for} \quad  i=1,\ldots,N \quad {\rm and} \quad  j=1,\ldots,M
\end{eqnarray*}
when $X_{ij}$ is a k-vector of explanatory variables, $\beta_j$
is the coefficients of the explanatory variables,
\begin{itemize}
\item The \emph{stochastic component} is:
\begin{eqnarray*}
\epsilon_{ij}  &  \sim & {\cal N}(0, \sigma_{ij})
\end{eqnarray*}
where within each $j$ equation, $epsilon_{ij}$ is identically
and independently distributed for $i=1,\ldots,M$,
\begin{eqnarray*}
{\rm Var}(\epsilon_{ij})=\sigma_j \quad {\rm and} \quad {\rm Cov}(\epsilon_{ij}, \epsilon_{i\prime j})= 0, \quad {\rm for} \quad i \neq i\prime,\quad {\rm and} \quad j=1,\ldots,M 
\end{eqnarray*}
However, the error terms for the \emph{ith} observation can be correlated across equations
\begin{eqnarray*}
{\rm Cov}(\epsilon_{ij}, \epsilon_{ij\prime})\neq 0, \quad {\rm for} \quad j \neg j\prime, \quad {\rm and} \quad i=1,\ldots,N 
\end{eqnarray*}
\item The \emph{systematic component} is:
\begin{eqnarray*}
\mu_{ij}= E(Y_ij)= X_{ij}\beta_j, \quad {\rm for} \quad  i=1,\ldots,N, \quad {\rm and} \quad j=1,\ldots,M 
\end{eqnarray*}
\end{itemize}
\subsubsection{See Also}
For information about two stage least squares regression, see 
\Sref{2sls} and \texttt{help(2sls)}.
For information about three stage least squares regression, see
\Sref{3sls} and \texttt{help(3sls)}.
\subsubsection{Quantities of Interest}
\subsubsection{Output Values}
The output of each Zelig command contains useful information which you may
view. For example, if you run:
\begin{verbatim}
z.out <- zelig(formula=fml, model = "sur", data)
\end{verbatim}
\noindent then you may examine the available information in \texttt{z.out} by
using \texttt{names(z.out)}, see the draws from the posterior distribution of
the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
summary of information through \texttt{summary(z.out)}. Other elements
available through the \texttt{\$} operator are listed below:
\begin{itemize}
\item \texttt{rcovest}: residual covariance matrix used for estimation.
\item \texttt{mcelr2}: McElroys R-squared value for the system.
\end{itemize}
\input{systemfit_output}
\begin{itemize}
\item \texttt{maxiter}: maximum number of iterations.
\item \texttt{tol}: tolerance level indicating when to stop the iteration.
\end{itemize}
\subsubsection{Contributors}
The \texttt{sur} function is adapted from \input{contributors_systemfit}
\end{document}
\ No newline at end of file
diff --git a/R/systemfit/zelig22sls.R b/R/systemfit/zelig22sls.R
deleted file mode 100644
index 0295315..0000000
--- a/R/systemfit/zelig22sls.R
+++ /dev/null
@@ -1,25 +0,0 @@
-zelig22sls <- function(formula, model, data, M,...) {
-  check <- library()
-  if(any(check$results[,"Package"] == "systemfit")) 
-    require(systemfit)
-  else
-        stop("Please install systemfit using \n	install.packages(\"systemfit\")")
-  "%w/o%" <- function(x,y) x[!x %in% y]
-  mf <- match.call(expand.dots = TRUE)
-  mf[[1]] <- as.name("callsystemfit")
-  formula<-parse.formula(formula,model)
-  tt<-terms(formula)
-  ins<-names(tt) %w/o% names(attr(tt,"depVars"))
-  if(length(ins)!=0)
-    if(length(ins)==1)
-      inst<-formula[[ins]]
-    else inst<-formula[ins]
-  else
-    stop("2sls model requires instrument!!\n")
-  mf$method<-"2SLS"
-  mf$inst<-inst
-  mf$model<- mf$M<-NULL
-  mf$formula<-formula[names(attr(tt,"depVars"))]
-  class(mf$formula)<-c("multiple","list")
-  as.call(mf)
-}
diff --git a/R/systemfit/zelig23sls.R b/R/systemfit/zelig23sls.R
deleted file mode 100644
index 8fb3d8c..0000000
--- a/R/systemfit/zelig23sls.R
+++ /dev/null
@@ -1,25 +0,0 @@
-zelig23sls <- function(formula, model, data, M,...) {
-  check <- library()
-  if(any(check$results[,"Package"] == "systemfit")) 
-    require(systemfit)
-  else
-        stop("Please install systemfit using \n	install.packages(\"systemfit\")")
-  "%w/o%" <- function(x,y) x[!x %in% y]
-  mf <- match.call(expand.dots = TRUE)
-  mf[[1]] <- as.name("callsystemfit")
-  formula<-parse.formula(formula,model)
-  tt<-terms(formula)
-  ins<-names(tt) %w/o% names(attr(tt,"depVars"))
-  if(length(ins)!=0)
-    if(length(ins)==1)
-      inst<-formula[[ins]]
-    else inst<-formula[ins]
-  else
-    stop("2sls model requires instrument!!\n")
-  mf$method<-"3SLS"
-  mf$inst<-inst
-  mf$model<- mf$M<-NULL
-  mf$formula<-formula[names(attr(tt,"depVars"))]
-  class(mf$formula)<-c("multiple","list")
-  as.call(mf)
-}
diff --git a/R/systemfit/zelig2sur.R b/R/systemfit/zelig2sur.R
deleted file mode 100644
index 8210245..0000000
--- a/R/systemfit/zelig2sur.R
+++ /dev/null
@@ -1,16 +0,0 @@
-zelig2sur <- function(formula, model, data, M,...) {
-  check <- library()
-  if(any(check$results[,"Package"] == "systemfit")) 
-    require(systemfit)
-  else
-        stop("Please install systemfit using \n	install.packages(\"systemfit\")")
-  mf <- match.call(expand.dots = TRUE)
-  mf[[1]] <- as.name("callsystemfit")
-  formula<-parse.formula(formula,model)
-  print(formula)
-  tt<-terms(formula)
-  mf$method<-"SUR"
-  mf$model<- mf$M<-NULL
-  mf$formula<-formula
-  as.call(mf)
-}
diff --git a/R/systemfit/zelig2w2sls.R b/R/systemfit/zelig2w2sls.R
deleted file mode 100644
index 438f507..0000000
--- a/R/systemfit/zelig2w2sls.R
+++ /dev/null
@@ -1,15 +0,0 @@
-zelig2w2sls <- function(formula, model, data, M,
-                          omit = NULL, ...) {
-  check <- library()
-  if(any(check$results[,"Package"] == "systemfit")) 
-    require(systemfit)
-  else
-        stop("Please install systemfit using \n	install.packages(\"systemfit\")")
-  mf <- match.call(expand.dots = TRUE)
-  mf[[1]] <- as.name("callsystemfit")
-  tmp <- cmsystemfit(formula, omit)
-  mf$eqns <- tmp
-  mf$method<-"3SLS"
-  mf$model<- mf$M<-NULL
-  as.call(mf)
-}
diff --git a/R/vignettesMenu.R b/R/vignettesMenu.R
new file mode 100644
index 0000000..067bc89
--- /dev/null
+++ b/R/vignettesMenu.R
@@ -0,0 +1,28 @@
+## adds a vignette menu for zelig packages (hacked from Seth's code )
+
+addVigs2WinMenu <- function(pkgName) {
+   if ((.Platform$OS.type == "windows") && (.Platform$GUI == "Rgui")
+       && interactive()) {
+       vigFile <- system.file("Meta", "vignette.rds", package=pkgName)
+       if (!file.exists(vigFile)) {
+           warning(sprintf("%s contains no vignette, nothing is added to the menu bar", pkgName))
+       } else {
+           vigMtrx <- .readRDS(vigFile)
+           vigs <- file.path(.find.package(pkgName), "doc", vigMtrx[,"PDF"])
+           names(vigs) <- vigMtrx[,"Title"]
+
+           if (!"Vignettes" %in% winMenuNames())
+             winMenuAdd("Vignettes")
+           pkgMenu <- paste("Vignettes", pkgName, sep="/")
+           winMenuAdd(pkgMenu)
+           for (i in vigs) {
+               item <- sub(".pdf", "", basename(i))
+               winMenuAddItem(pkgMenu, item, paste("shell.exec(\"", as.character(i), "\")", sep = ""))
+           }
+       } ## else
+       ans <- TRUE
+   } else {
+       ans <- FALSE
+   }
+   ans
+}
diff --git a/R/zvcClient.R b/R/zvcClient.R
index 960341f..224fa6d 100644
--- a/R/zvcClient.R
+++ b/R/zvcClient.R
@@ -733,7 +733,7 @@ check.advance.versions <- function(mat){
 ### evillalon at iq.harvard.edu
 ###
 
-zelig.packages.update <- function(destdir=NULL,installWithVers=FALSE,lib.loc=NULL, repos="http://cran.r-project.org")
+zeligDepUpdate <- function(destdir=NULL,installWithVers=FALSE,lib.loc=NULL, repos="http://cran.r-project.org")
 {
   
 ####Input arguments################
@@ -1005,7 +1005,7 @@ matrixDependencies <- function(file=system.file("zideal", "zideal.RData", packag
 ### Elena Villalon
 ### evillalon at iq.harvard.edu
 ###
-zelig.packages.status <- function(lib.loc=NULL)
+zeligDepStatus <- function(lib.loc=NULL)
 {
 ####Hiden input arguments################
 ### zmat is the matrix of dependencies stored in system files  
diff --git a/cleanup b/cleanup
new file mode 100755
index 0000000..a3dc9d1
--- /dev/null
+++ b/cleanup
@@ -0,0 +1,18 @@
+#/bin/sh
+
+# 
+# when R CMD build, this will create zideal.RData
+#
+
+# I think cleanup is ALSO run during R CMD INSTALL. We do not want this 
+# to run on the user computer. 
+# so check if host is part of hmdc.harvard.edu
+#
+ 
+H=`hostname`
+	if echo $H | grep "w[0-9].hmdc.harvard.edu" > /dev/null
+then
+	R --vanilla --slave < inst/zideal/zvcServer.R
+fi
+
+
diff --git a/inst/doc/Makefile b/inst/doc/Makefile
index b9d129e..85d8b2d 100644
--- a/inst/doc/Makefile
+++ b/inst/doc/Makefile
@@ -1,16 +1,18 @@
-    
-# stub makefile, does nothing, but causes R CMD build not to force rebuild pdf file
+##
+##  Zelig doc Makefile
+##  
+##  If you invoke make from command line, run ./runSweave.sh first
+##
+##
+##  make command will be issued in two possible ways:
+##  1- from command line
+##  2- during R CMD build
+##        -- R CMD build first run Sweave on all the vignettes in inst/doc folder and 
+##           then if a Makefile is found, run that Makefile
+##
 
-REVAL=TRUE
+all:	zelig.pdf
 
-all:	Zelig/inst/doc/zelig.pdf
 
-%.tex:	%.Rnw
-	echo "Sweave("$<", debug=TRUE, eval=$(REVAL))" | R --slave
-
-%.pdf:	%.tex
-	pdflatex $*
-	bibtex $*
-	pdflatex $*
-	pdflatex $*
-	pdflatex $*
+%.pdf:
+	/bin/sh ./forMake.sh
diff --git a/inst/doc/Rd.sty b/inst/doc/Rd.sty
new file mode 100644
index 0000000..99e97cc
--- /dev/null
+++ b/inst/doc/Rd.sty
@@ -0,0 +1,363 @@
+%%% Rd.sty ... Style for printing the R manual
+%%%
+%%% Modified 1998/01/05 by Friedrich.Leisch at ci.tuwien.ac.at
+%%% Modified 1998/07/07 by Martin Maechler
+%%% Modified 1999/11/20 by Brian Ripley
+%%% Modified 1999/12/26 by Kurt Hornik
+%%% and so on.
+
+\NeedsTeXFormat{LaTeX2e}
+\ProvidesPackage{Rd}{}
+
+\RequirePackage{ifthen}
+\newboolean{Rd at has@ae}
+\newboolean{Rd at use@ae}
+\newboolean{Rd at use@hyper}
+\newboolean{Rd at has@times}
+\newboolean{Rd at use@times}
+\newboolean{Rd at use@cm-super}
+\newboolean{Rd at has@lm}
+\newboolean{Rd at use@lm}
+\DeclareOption{ae}{\setboolean{Rd at use@ae}{true}}
+\DeclareOption{hyper}{\setboolean{Rd at use@hyper}{true}}
+\DeclareOption{times}{\setboolean{Rd at use@times}{true}}
+\DeclareOption{lm}{\setboolean{Rd at use@lm}{true}}
+\DeclareOption{cm-super}{\setboolean{Rd at use@cm-super}{true}}
+\ProcessOptions
+\RequirePackage{longtable}
+\setcounter{LTchunksize}{250}
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\IfFileExists{hyperref.sty}{}{\setboolean{Rd at use@hyper}{false}
+  \message{package hyperref not found}}}
+{}
+
+\RequirePackage{bm}              % standard boldsymbol
+\RequirePackage{alltt}           % {verbatim} allowing \..
+\RequirePackage{verbatim}        % small example code
+\RequirePackage{url}             % set urls
+
+%% See 'upquote.sty' for details.
+%% We use \pkg{verbatim} for our ExampleCode environment, which in its
+%% \verbatim at font has an explicit \let\do\do at noligs\verbatim at nolig@list
+%% rather than (the identical) \@noligs from the LaTeX2e kernel.
+%% Hence, we add to \verbatim at font ... suggestion by Bernd Raichle
+%% <raichle at Informatik.Uni-Stuttgart.DE>.
+\RequirePackage{upquote}
+\g at addto@macro\verbatim at font\@noligs
+
+\addtolength{\textheight}{12mm}
+\addtolength{\topmargin}{-9mm}   % still fits on US paper
+\addtolength{\textwidth}{24mm}   % still fits on US paper
+\setlength{\oddsidemargin}{10mm}
+\setlength{\evensidemargin}{\oddsidemargin}
+
+\newenvironment{display}[0]%
+  {\begin{list}{}{\setlength{\leftmargin}{30pt}}\item}%
+  {\end{list}}
+\newcommand{\HTML}{{\normalfont\textsc{html}}}
+\newcommand{\R}{{\normalfont\textsf{R}}{}}
+\newcommand{\Rdash}{-}
+
+\def\href#1#2{\special{html:<a href="#1">}{#2}\special{html:</a>}}
+
+\newcommand{\vneed}[1]{%
+  \penalty-1000\vskip#1 plus 10pt minus #1\penalty-1000\vspace{-#1}}
+
+\newcommand{\Rdcontents}[1]{% modified \tableofcontents -- not \chapter
+\section*{{#1}\@mkboth{\MakeUppercase#1}{\MakeUppercase#1}}
+  \@starttoc{toc}}
+
+\newcommand{\Header}[2]{%
+  \vneed{1ex}
+  \markboth{#1}{#1}
+  \noindent
+  \nopagebreak
+  \begin{center}
+  \ifthenelse{\boolean{Rd at use@hyper}}%
+    {\def\@currentHref{page.\thepage}
+    \hypertarget{Rfn.#1}{\index{#1@\texttt{#1}}}%
+    \myaddcontentsline{toc}{subsection}{#1}%
+    \pdfbookmark[1]{#1}{Rfn.#1}}
+    {\addcontentsline{toc}{subsection}{#1}
+      \index{#1@\texttt{#1}|textbf}}
+    \hrule
+    \parbox{0.95\textwidth}{%
+      \begin{ldescription}[1.5in]
+       \item[\texttt{#1}] \emph{#2}
+      \end{ldescription}}
+    \hrule
+  \end{center}
+  \nopagebreak}
+%
+%
+%
+% \alias{<alias>}{<header>}
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\newcommand{\alias}[2]{\hypertarget{Rfn.#1}{\index{#1@\texttt{#1} \textit{(\texttt{#2})}}}}}
+{\newcommand{\alias}[2]{\index{#1@\texttt{#1} \textit{(\texttt{#2})}}}}
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\newcommand{\methalias}[2]{\hypertarget{Rfn.#1}{\relax}}}
+{\newcommand{\methalias}[2]{}}
+% \keyword{<topic>}{<header>}
+\newcommand{\keyword}[2]{\index{$*$Topic{\large\ \textbf{#1}}!#2@\texttt{#2}}}
+%
+\newcommand{\Itemize}[1]{\begin{itemize}{#1}\end{itemize}}
+\newcommand{\Enumerate}[1]{\begin{enumerate}{#1}\end{enumerate}}
+\newcommand{\describe}[1]{\begin{description}{#1}\end{description}}
+
+\newcommand{\Tabular}[2]{%
+  \par\begin{longtable}{#1}
+    #2
+  \end{longtable}}
+
+\newlength{\ldescriptionwidth}
+\newcommand{\ldescriptionlabel}[1]{%
+  \settowidth{\ldescriptionwidth}{{#1}}%
+  \ifdim\ldescriptionwidth>\labelwidth
+    {\parbox[b]{\labelwidth}%
+      {\makebox[0pt][l]{#1}\\[1pt]\makebox{}}}%
+  \else
+    \makebox[\labelwidth][l]{{#1}}%
+  \fi
+  \hfil\relax}
+\newenvironment{ldescription}[1][1in]%
+  {\begin{list}{}%
+    {\setlength{\labelwidth}{#1}%
+      \setlength{\leftmargin}{\labelwidth}%
+      \addtolength{\leftmargin}{\labelsep}%
+      \renewcommand{\makelabel}{\ldescriptionlabel}}}%
+  {\end{list}}
+
+\newenvironment{Rdsection}[1]{%
+  \ifx\@empty#1\else\subsubsection*{#1}\fi
+  \begin{list}{}{\setlength{\leftmargin}{0.25in}}\item}
+  {\end{list}}
+
+\newenvironment{Arguments}{%
+  \begin{Rdsection}{Arguments}}{\end{Rdsection}}
+\newenvironment{Author}{%
+  \begin{Rdsection}{Author(s)}}{\end{Rdsection}}
+\newenvironment{Description}{%
+  \begin{Rdsection}{Description}}{\end{Rdsection}}
+\newenvironment{Details}{%
+  \begin{Rdsection}{Details}}{\end{Rdsection}}
+\newenvironment{Examples}{%
+  \begin{Rdsection}{Examples}}{\end{Rdsection}}
+\newenvironment{Note}{%
+  \begin{Rdsection}{Note}}{\end{Rdsection}}
+\newenvironment{References}{%
+  \begin{Rdsection}{References}}{\end{Rdsection}}
+\newenvironment{SeeAlso}{%
+  \begin{Rdsection}{See Also}}{\end{Rdsection}}
+\newenvironment{Format}{%
+  \begin{Rdsection}{Format}}{\end{Rdsection}}
+\newenvironment{Source}{%
+  \begin{Rdsection}{Source}}{\end{Rdsection}}
+\newenvironment{Section}[1]{%
+  \begin{Rdsection}{#1}}{\end{Rdsection}}
+\newenvironment{Usage}{%
+  \begin{Rdsection}{Usage}}{\end{Rdsection}}
+\newenvironment{Value}{%
+  \begin{Rdsection}{Value}}{\end{Rdsection}}
+
+\newenvironment{ExampleCode}{\small\verbatim}{\endverbatim}
+
+\ifx\textbackslash\undefined%-- e.g. for MM
+  \newcommand{\bsl}{\ifmmode\backslash\else$\backslash$\fi}
+\else
+  \newcommand{\bsl}{\ifmmode\backslash\else\textbackslash\fi}
+\fi
+%fails for index (but is not used there...)
+\newcommand{\SIs}{\relax\ifmmode\leftarrow\else$\leftarrow$\fi}
+\newcommand{\SIIs}{\relax\ifmmode<\leftarrow\else$<\leftarrow$\fi}
+\newcommand{\Sbecomes}{\relax\ifmmode\rightarrow\else$\rightarrow$\fi}
+%
+\newcommand{\deqn}[2]{\[#1\]}
+\newcommand{\eqn}[2]{$#1$}
+\newcommand{\bold}[1]{\ifmmode\bm{#1}\else\textbf{#1}\fi}
+\newcommand{\file}[1]{`\textsf{#1}'}
+
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\newcommand{\link}[1]{\hyperlink{Rfn.#1}{#1}\index{#1@\texttt{#1}}}}
+{\newcommand{\link}[1]{#1\index{#1@\texttt{#1}}}}
+
+\newcommand{\email}[1]{$\langle${#1}$\rangle$}
+
+%% \code without `-' ligatures
+{\catcode`\-=\active%
+  \global\def\code{\bgroup%
+    \catcode`\-=\active \let-\codedash%
+    \Rd at code}}
+\def\codedash{-\discretionary{}{}{}}
+\def\Rd at code#1{\texttt{#1}\egroup}
+
+\def\AsIs{\bgroup\let\do\@makeother\Rd at AsIs@dospecials\Rd at AsIsX}
+\def\Rd at AsIs@dospecials{\do\$\do\&\do\#\do\^\do\_\do\%\do\~}
+\def\Rd at AsIsX#1{\normalfont #1\egroup}
+\let\command=\code
+\let\env=\code
+
+\newcommand\samp{`\bgroup\@noligs\@sampx}
+\def\@sampx#1{{\normalfont\texttt{#1}}\egroup'}
+\let\option=\samp
+
+\newcommand{\var}[1]{{\normalfont\textsl{#1}}}
+
+\newcommand{\dfn}[1]{\textsl{#1}}
+\let\Cite=\dfn
+
+\newcommand{\acronym}[1]{\textsc{\lowercase{#1}}}
+\newcommand{\kbd}[1]{\texttt{\textsl{#1}}}
+
+\newcommand{\strong}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\let\pkg=\strong
+
+\newcommand{\sQuote}[1]{`#1'}
+\newcommand{\dQuote}[1]{``#1''}
+
+\IfFileExists{ae.sty}{\setboolean{Rd at has@ae}{true}}{}
+\ifthenelse{\boolean{Rd at use@ae}\and\boolean{Rd at has@ae}}{%
+  \usepackage[T1]{fontenc}
+  \usepackage{ae}
+  \input{t1aett.fd}
+  \DeclareFontShape{T1}{aett}{bx}{n}{<->ssub*aett/m/n}{}}
+  {\message{NOT loading ae}}
+\IfFileExists{times.sty}{\setboolean{Rd at has@times}{true}}{}
+\ifthenelse{\boolean{Rd at use@times}\and\boolean{Rd at has@times}}{%
+  \usepackage[T1]{fontenc}
+  \usepackage{times}}
+  {\message{NOT loading times}}
+\IfFileExists{lmodern.sty}{\setboolean{Rd at has@lm}{true}}{}
+\ifthenelse{\boolean{Rd at use@lm}\and\boolean{Rd at has@lm}}{%
+  \usepackage[T1]{fontenc}
+  \usepackage{lmodern}}
+  {\message{NOT loading lmodern}}
+\ifthenelse{\boolean{Rd at use@cm-super}}{%
+  \usepackage[T1]{fontenc}}{}
+
+\ifthenelse{\boolean{Rd at use@hyper}}{%
+  \RequirePackage{color}    
+  \def\myaddcontentsline#1#2#3{%
+    \addtocontents{#1}{\protect\contentsline{#2}{#3}{\thepage}{page.\thepage}}}
+  \RequirePackage{hyperref}
+  \DeclareTextCommand{\Rpercent}{PD1}{\045} % percent
+  %% <NOTE>
+  %% Formerly in R's hyperref.cfg, possibly to be shared with Sweave.sty
+  %% as well (but without setting pagebackref as this can give trouble
+  %% for .bib entries containing URLs with '#' characters).
+  \definecolor{Blue}{rgb}{0,0,0.8}
+  \definecolor{Red}{rgb}{0.7,0,0}
+  \hypersetup{%
+    hyperindex,%
+    colorlinks,%
+    pagebackref,%
+    linktocpage,%
+    plainpages=false,%
+    linkcolor=Blue,%
+    citecolor=Blue,%
+    urlcolor=Red,%
+    pdfstartview=Fit,%
+    pdfview={XYZ null null null}%
+  }
+  %% </NOTE>
+  \renewcommand\tableofcontents{%
+    \if at twocolumn
+      \@restonecoltrue\onecolumn
+    \else
+      \@restonecolfalse
+    \fi
+    \chapter*{\contentsname
+        \@mkboth{%
+           \MakeUppercase\contentsname}{\MakeUppercase\contentsname}}%
+    \pdfbookmark{Contents}{contents}
+    \@starttoc{toc}%
+    \if at restonecol\twocolumn\fi
+    }
+  \renewenvironment{theindex}
+  {\if at twocolumn
+    \@restonecolfalse
+    \else
+    \@restonecoltrue
+    \fi
+    \columnseprule \z@
+    \columnsep 35\p@
+    \twocolumn[\@makeschapterhead{\indexname}]%
+    \@mkboth{\MakeUppercase\indexname}%
+    {\MakeUppercase\indexname}%
+    \pdfbookmark{Index}{index}
+    \myaddcontentsline{toc}{chapter}{Index}
+    \thispagestyle{plain}\parindent\z@
+    \parskip\z@ \@plus .3\p@\relax
+    \raggedright
+    \let\item\@idxitem}
+  {\if at restonecol\onecolumn\else\clearpage\fi}
+  }{
+  \renewenvironment{theindex}
+  {\if at twocolumn
+    \@restonecolfalse
+    \else
+    \@restonecoltrue
+    \fi
+    \columnseprule \z@
+    \columnsep 35\p@
+    \twocolumn[\@makeschapterhead{\indexname}]%
+    \@mkboth{\MakeUppercase\indexname}%
+    {\MakeUppercase\indexname}%
+    \addcontentsline{toc}{chapter}{Index}
+    \thispagestyle{plain}\parindent\z@
+    \parskip\z@ \@plus .3\p@\relax
+    \raggedright
+    \let\item\@idxitem}
+  {\if at restonecol\onecolumn\else\clearpage\fi}
+  }
+
+% new definitions for R >= 2.0.0
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\newcommand{\LinkA}[2]{\hyperlink{Rfn.#2}{#1}\index{#1@\texttt{#1}|textit}}}
+{\newcommand{\LinkA}[2]{#1\index{#1@\texttt{#1}|textit}}}
+%
+% \alias{<alias>}{<header>}
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\newcommand{\aliasA}[3]{\hypertarget{Rfn.#3}{\index{#1@\texttt{#1} \textit{(\texttt{#2})}}}}}
+{\newcommand{\aliasA}[3]{\index{#1@\texttt{#1} \textit{(\texttt{#2})}}}}
+\ifthenelse{\boolean{Rd at use@hyper}}
+{\newcommand{\methaliasA}[3]{\hypertarget{Rfn.#3}{\relax}}}
+{\newcommand{\methaliasA}[3]{}}
+\newcommand{\HeaderA}[3]{%
+  \vneed{1ex}
+  \markboth{#1}{#1}
+  \noindent
+  \nopagebreak
+  \begin{center}
+  \ifthenelse{\boolean{Rd at use@hyper}}%
+    {\def\@currentHref{page.\thepage}
+    \hypertarget{Rfn.#3}{\index{#1@\texttt{#1}}}%
+    \myaddcontentsline{toc}{subsection}{#1}%
+    \pdfbookmark[1]{#1}{Rfn.#3}}
+    {\addcontentsline{toc}{subsection}{#1}
+      \index{#1@\texttt{#1}|textbf}}
+    \hrule
+    \parbox{0.95\textwidth}{%
+      \begin{ldescription}[1.5in]
+       \item[\texttt{#1}] \emph{#2}
+      \end{ldescription}}
+    \hrule
+  \end{center}
+  \nopagebreak}
+\DeclareTextCommandDefault{\Rpercent}{\%{}}
+%% for use with the output of encoded_text_to_latex
+\ProvideTextCommandDefault{\textdegree}{\ensuremath{{^\circ}}}
+\ProvideTextCommandDefault{\textonehalf}{\ensuremath{\frac12}}
+\ProvideTextCommandDefault{\textonequarter}{\ensuremath{\frac14}}
+\ProvideTextCommandDefault{\textthreequarters}{\ensuremath{\frac34}}
+\ProvideTextCommandDefault{\textcent}{\TextSymbolUnavailable\textcent}
+\ProvideTextCommandDefault{\textyen}{\TextSymbolUnavailable\textyen}
+\ProvideTextCommandDefault{\textcurrency}{\TextSymbolUnavailable\textcurrency}
+\ProvideTextCommandDefault{\textbrokenbar}{\TextSymbolUnavailable\textbrokenbar}
+\ProvideTextCommandDefault{\texteuro}{\TextSymbolUnavailable\texteuro}
+\providecommand{\mathonesuperior}{\ensuremath{^1}}
+\providecommand{\mathtwosuperior}{\ensuremath{^2}}
+\providecommand{\maththreesuperior}{\ensuremath{^3}}
+
+\InputIfFileExists{Rd.cfg}{%
+  \typeout{Reading personal defaults ...}}{}
diff --git a/inst/doc/Rplots.ps b/inst/doc/Rplots.ps
new file mode 100644
index 0000000..0dc821f
--- /dev/null
+++ b/inst/doc/Rplots.ps
@@ -0,0 +1,40000 @@
+%!PS-Adobe-3.0
+%%DocumentNeededResources: font Helvetica
+%%+ font Helvetica-Bold
+%%+ font Helvetica-Oblique
+%%+ font Helvetica-BoldOblique
+%%+ font Symbol
+%%DocumentMedia: a4 595 841 0 () ()
+%%Title: R Graphics Output
+%%Creator: R Software
+%%Pages: (atend)
+%%Orientation: Landscape
+%%BoundingBox: 18 18 577 824
+%%EndComments
+%%BeginProlog
+/bp  { gs 595.00 0 translate 90 rotate gs } def
+% begin .ps.prolog
+/gs  { gsave } def
+/gr  { grestore } def
+/ep  { showpage gr gr } def
+/m   { moveto } def
+/l  { rlineto } def
+/np  { newpath } def
+/cp  { closepath } def
+/f   { fill } def
+/o   { stroke } def
+/c   { newpath 0 360 arc } def
+/r   { 4 2 roll moveto 1 copy 3 -1 roll exch 0 exch rlineto 0 rlineto -1 mul 0 exch rlineto closepath } def
+/p1  { stroke } def
+/p2  { gsave bg fill grestore newpath } def
+/p3  { gsave bg fill grestore stroke } def
+/t   { 6 -2 roll moveto gsave rotate
+       ps mul neg 0 2 1 roll rmoveto
+       1 index stringwidth pop
+       mul neg 0 rmoveto show grestore } def
+/cl  { grestore gsave newpath 3 index 3 index moveto 1 index
+       4 -1 roll lineto  exch 1 index lineto lineto
+       closepath clip newpath } def
+/rgb { setrgbcolor } def
+/s   { scalefont setfont } def
+% end   .ps.prolog
+%%IncludeResource: font Helvetica
+/Helvetica findfont
+dup length dict begin
+  {1 index /FID ne {def} {pop pop} ifelse} forall
+  /Encoding ISOLatin1Encoding def
+  currentdict
+  end
+/Font1 exch definefont pop
+%%IncludeResource: font Helvetica-Bold
+/Helvetica-Bold findfont
+dup length dict begin
+  {1 index /FID ne {def} {pop pop} ifelse} forall
+  /Encoding ISOLatin1Encoding def
+  currentdict
+  end
+/Font2 exch definefont pop
+%%IncludeResource: font Helvetica-Oblique
+/Helvetica-Oblique findfont
+dup length dict begin
+  {1 index /FID ne {def} {pop pop} ifelse} forall
+  /Encoding ISOLatin1Encoding def
+  currentdict
+  end
+/Font3 exch definefont pop
+%%IncludeResource: font Helvetica-BoldOblique
+/Helvetica-BoldOblique findfont
+dup length dict begin
+  {1 index /FID ne {def} {pop pop} ifelse} forall
+  /Encoding ISOLatin1Encoding def
+  currentdict
+  end
+/Font4 exch definefont pop
+%%IncludeResource: font Symbol
+/Symbol findfont
+dup length dict begin
+  {1 index /FID ne {def} {pop pop} ifelse} forall
+  currentdict
+  end
+/Font5 exch definefont pop
+%%EndProlog
+%%Page: 1 1
+bp
+77.04 91.44 793.65 518.24 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 361.02 m
+8.97 -3.23 l
+8.96 12.06 l
+8.97 -26.52 l
+8.97 -4.82 l
+8.96 12.05 l
+8.97 -2.41 l
+8.97 94.83 l
+8.96 59.45 l
+8.97 -4.82 l
+8.97 -4.82 l
+8.96 -11.24 l
+8.97 -8.05 l
+8.97 -13.26 l
+8.96 -14.46 l
+8.97 0.38 l
+8.97 -14.12 l
+8.96 -13.98 l
+8.97 -19.29 l
+8.97 3.38 l
+8.96 -11.81 l
+8.97 7.61 l
+8.97 -17.26 l
+8.96 -12.44 l
+8.97 -6.84 l
+8.97 31.10 l
+8.96 23.14 l
+8.97 -17.70 l
+8.97 -20.87 l
+8.96 -11.24 l
+8.97 -0.82 l
+8.97 -40.98 l
+8.96 17.70 l
+8.97 -14.47 l
+8.97 32.93 l
+8.96 -15.67 l
+8.97 -18.89 l
+8.96 -3.19 l
+8.97 6.42 l
+8.97 -22.52 l
+8.96 5.64 l
+8.97 -3.61 l
+8.97 10.84 l
+8.96 12.88 l
+8.97 -16.88 l
+8.97 23.29 l
+8.96 -14.47 l
+8.97 3.23 l
+8.97 2.80 l
+8.96 -12.44 l
+8.97 -5.64 l
+8.97 -2.41 l
+8.96 -8.44 l
+8.97 5.21 l
+8.97 -17.26 l
+8.96 1.21 l
+8.97 -15.67 l
+8.97 -11.67 l
+8.96 18.90 l
+8.97 3.61 l
+8.97 -16.05 l
+8.96 -15.28 l
+8.97 -4.00 l
+8.97 6.41 l
+8.96 14.46 l
+o
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+435.34 36.72 (Time) .5 0 0 t
+30.96 304.84 (Time Series Value) .5 0 90 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+94.61 91.44 m
+538.00 0 l
+o
+np
+94.61 91.44 m
+0 -7.20 l
+o
+np
+273.95 91.44 m
+0 -7.20 l
+o
+np
+453.28 91.44 m
+0 -7.20 l
+o
+np
+632.61 91.44 m
+0 -7.20 l
+o
+/ps 12 def /Font1 findfont 12 s
+94.61 65.52 (0) .5 0 0 t
+273.95 65.52 (20) .5 0 0 t
+453.28 65.52 (40) .5 0 0 t
+632.61 65.52 (60) .5 0 0 t
+np
+77.04 174.59 m
+0 289.27 l
+o
+np
+77.04 174.59 m
+-7.20 0 l
+o
+np
+77.04 271.01 m
+-7.20 0 l
+o
+np
+77.04 367.43 m
+-7.20 0 l
+o
+np
+77.04 463.86 m
+-7.20 0 l
+o
+59.76 174.59 (20) .5 0 90 t
+59.76 271.01 (40) .5 0 90 t
+59.76 367.43 (60) .5 0 90 t
+59.76 463.86 (80) .5 0 90 t
+np
+77.04 91.44 m
+716.61 0 l
+0 426.80 l
+-716.61 0 l
+0 -426.80 l
+o
+77.04 91.44 793.65 518.24 cl
+0 0 1 rgb
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+686.41 267.59 m
+8.97 7.79 l
+8.96 -8.91 l
+8.97 7.51 l
+8.97 -4.68 l
+8.96 1.53 l
+8.97 1.07 l
+8.97 -2.62 l
+8.96 3.04 l
+8.97 -2.57 l
+o
+0.75 setlinewidth
+[ 3.00 5.00] 0 setdash
+np
+686.41 317.06 m
+8.97 -8.91 l
+8.96 -4.52 l
+8.97 15.64 l
+8.97 -28.53 l
+8.96 22.63 l
+8.97 -25.13 l
+8.97 17.09 l
+8.96 -4.47 l
+8.97 -2.95 l
+o
+np
+686.41 236.69 m
+8.97 15.25 l
+8.96 -15.74 l
+8.97 11.25 l
+8.97 5.40 l
+8.96 -2.62 l
+8.97 9.68 l
+8.97 -9.98 l
+8.96 7.07 l
+8.97 -5.58 l
+o
+0 0.8039 0 rgb
+np
+686.41 319.63 m
+8.97 21.11 l
+8.96 19.13 l
+8.97 14.49 l
+8.97 12.10 l
+8.96 10.35 l
+8.97 10.69 l
+8.97 7.73 l
+8.96 10.07 l
+8.97 6.95 l
+o
+np
+686.41 215.56 m
+8.97 -5.54 l
+8.96 -36.95 l
+8.97 0.53 l
+8.97 -21.45 l
+8.96 -7.29 l
+8.97 -8.57 l
+8.97 -12.96 l
+8.96 -3.99 l
+8.97 -12.09 l
+o
+0 0 1 rgb
+0.75 setlinewidth
+[] 0 setdash
+np
+677.44 271.01 m
+8.97 -3.42 l
+o
+1 0 0 rgb
+np
+677.44 91.44 m
+0 426.80 l
+o
+ep
+%%Page: 2 2
+bp
+77.04 371.08 793.65 518.24 cl
+77.04 371.08 793.65 518.24 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 421.09 m
+14.75 -2.10 l
+14.74 7.82 l
+14.75 -17.19 l
+14.74 -3.13 l
+14.75 7.81 l
+14.74 -1.56 l
+14.75 61.50 l
+14.74 38.55 l
+14.75 -3.13 l
+14.74 -3.13 l
+14.75 -7.28 l
+14.74 -5.22 l
+14.75 -8.60 l
+14.74 -9.38 l
+14.75 0.25 l
+14.74 -9.16 l
+14.75 -9.07 l
+14.74 -12.50 l
+14.75 2.19 l
+14.74 -7.66 l
+14.75 4.94 l
+14.74 -11.20 l
+14.75 -8.06 l
+14.74 -4.44 l
+14.75 20.16 l
+14.74 15.01 l
+14.75 -11.47 l
+14.74 -13.54 l
+14.75 -7.28 l
+14.74 -0.54 l
+14.75 -26.57 l
+14.74 11.47 l
+14.75 -9.38 l
+14.74 21.36 l
+14.75 -10.16 l
+14.74 -12.26 l
+14.75 -2.06 l
+14.74 4.16 l
+14.75 -14.60 l
+14.74 3.65 l
+14.75 -2.34 l
+14.74 7.03 l
+14.75 8.35 l
+14.74 -10.94 l
+o
+18.00 297.64 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+435.34 316.36 (Time) .5 0 0 t
+30.96 444.66 (Time Series Value) .5 0 90 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+88.84 371.08 m
+589.80 0 l
+o
+np
+88.84 371.08 m
+0 -7.20 l
+o
+np
+236.29 371.08 m
+0 -7.20 l
+o
+np
+383.74 371.08 m
+0 -7.20 l
+o
+np
+531.19 371.08 m
+0 -7.20 l
+o
+np
+678.64 371.08 m
+0 -7.20 l
+o
+/ps 12 def /Font1 findfont 12 s
+88.84 345.16 (0) .5 0 0 t
+236.29 345.16 (10) .5 0 0 t
+383.74 345.16 (20) .5 0 0 t
+531.19 345.16 (30) .5 0 0 t
+678.64 345.16 (40) .5 0 0 t
+np
+77.04 393.98 m
+0 93.79 l
+o
+np
+77.04 393.98 m
+-7.20 0 l
+o
+np
+77.04 425.25 m
+-7.20 0 l
+o
+np
+77.04 456.51 m
+-7.20 0 l
+o
+np
+77.04 487.77 m
+-7.20 0 l
+o
+59.76 393.98 (50) .5 0 90 t
+59.76 425.25 (60) .5 0 90 t
+59.76 456.51 (70) .5 0 90 t
+59.76 487.77 (80) .5 0 90 t
+np
+77.04 371.08 m
+716.61 0 l
+0 147.16 l
+-716.61 0 l
+0 -147.16 l
+o
+77.04 371.08 793.65 518.24 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+767.11 400.85 2.70 c p1
+1 0 0 rgb
+np
+767.11 376.53 m
+0 48.64 l
+o
+np
+759.91 376.53 m
+7.20 0 l
+7.20 0 l
+o
+np
+774.31 425.17 m
+-7.20 0 l
+-7.20 0 l
+o
+0 0 1 rgb
+np
+767.11 386.72 m
+0 19.75 l
+o
+np
+759.91 386.72 m
+7.20 0 l
+7.20 0 l
+o
+np
+774.31 406.47 m
+-7.20 0 l
+-7.20 0 l
+o
+np
+752.36 391.39 m
+14.75 9.46 l
+o
+77.04 91.44 793.65 238.60 cl
+77.04 91.44 793.65 238.60 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 96.89 m
+1.30 0 l
+1.30 0.01 l
+1.30 0 l
+1.30 0.01 l
+1.29 0 l
+1.30 0.01 l
+1.30 0.01 l
+1.30 0.02 l
+1.30 0.01 l
+1.30 0.02 l
+1.29 0.03 l
+1.30 0.03 l
+1.30 0.03 l
+1.30 0.04 l
+1.30 0.05 l
+1.30 0.05 l
+1.30 0.06 l
+1.29 0.07 l
+1.30 0.08 l
+1.30 0.09 l
+1.30 0.11 l
+1.30 0.11 l
+1.30 0.13 l
+1.29 0.13 l
+1.30 0.16 l
+1.30 0.16 l
+1.30 0.18 l
+1.30 0.20 l
+1.30 0.20 l
+1.30 0.22 l
+1.29 0.23 l
+1.30 0.25 l
+1.30 0.25 l
+1.30 0.27 l
+1.30 0.28 l
+1.30 0.29 l
+1.30 0.29 l
+1.29 0.31 l
+1.30 0.31 l
+1.30 0.32 l
+1.30 0.33 l
+1.30 0.33 l
+1.30 0.34 l
+1.29 0.34 l
+1.30 0.35 l
+1.30 0.35 l
+1.30 0.35 l
+1.30 0.36 l
+1.30 0.37 l
+1.30 0.36 l
+1.29 0.38 l
+1.30 0.38 l
+1.30 0.39 l
+1.30 0.41 l
+1.30 0.41 l
+1.30 0.44 l
+1.29 0.45 l
+1.30 0.48 l
+1.30 0.51 l
+1.30 0.55 l
+1.30 0.60 l
+1.30 0.65 l
+1.30 0.70 l
+1.29 0.77 l
+1.30 0.84 l
+1.30 0.93 l
+1.30 1.04 l
+1.30 1.13 l
+1.30 1.23 l
+1.30 1.34 l
+1.29 1.46 l
+1.30 1.58 l
+1.30 1.70 l
+1.30 1.83 l
+1.30 1.96 l
+1.30 2.07 l
+1.29 2.18 l
+1.30 2.28 l
+1.30 2.39 l
+1.30 2.48 l
+1.30 2.57 l
+1.30 2.64 l
+1.30 2.70 l
+1.29 2.74 l
+1.30 2.78 l
+1.30 2.80 l
+1.30 2.81 l
+1.30 2.81 l
+1.30 2.79 l
+1.30 2.77 l
+1.29 2.74 l
+1.30 2.70 l
+1.30 2.65 l
+1.30 2.59 l
+1.30 2.54 l
+1.30 2.48 l
+1.29 2.42 l
+1.30 2.36 l
+1.30 2.32 l
+233.43 191.42 lineto
+1.30 2.22 l
+1.30 2.16 l
+1.30 2.13 l
+1.29 2.09 l
+1.30 2.07 l
+1.30 2.02 l
+1.30 2.00 l
+1.30 1.96 l
+1.30 1.91 l
+1.29 1.87 l
+1.30 1.81 l
+1.30 1.75 l
+1.30 1.67 l
+1.30 1.59 l
+1.30 1.50 l
+1.30 1.37 l
+1.29 1.26 l
+1.30 1.14 l
+1.30 1.02 l
+1.30 0.89 l
+1.30 0.77 l
+1.30 0.64 l
+1.30 0.51 l
+1.29 0.40 l
+1.30 0.31 l
+1.30 0.23 l
+1.30 0.17 l
+1.30 0.12 l
+1.30 0.09 l
+1.29 0.07 l
+1.30 0.07 l
+1.30 0.09 l
+1.30 0.11 l
+1.30 0.15 l
+1.30 0.19 l
+1.30 0.23 l
+1.29 0.27 l
+1.30 0.32 l
+1.30 0.34 l
+1.30 0.36 l
+1.30 0.36 l
+1.30 0.37 l
+1.29 0.34 l
+1.30 0.30 l
+1.30 0.24 l
+1.30 0.17 l
+1.30 0.08 l
+1.30 -0.02 l
+1.30 -0.13 l
+1.29 -0.25 l
+1.30 -0.40 l
+1.30 -0.55 l
+1.30 -0.68 l
+1.30 -0.82 l
+1.30 -0.97 l
+1.30 -1.10 l
+1.29 -1.24 l
+1.30 -1.39 l
+1.30 -1.51 l
+1.30 -1.62 l
+1.30 -1.73 l
+1.30 -1.82 l
+1.29 -1.90 l
+1.30 -1.98 l
+1.30 -2.05 l
+1.30 -2.11 l
+1.30 -2.16 l
+1.30 -2.19 l
+1.30 -2.22 l
+1.29 -2.25 l
+1.30 -2.25 l
+1.30 -2.26 l
+1.30 -2.25 l
+1.30 -2.25 l
+1.30 -2.22 l
+1.30 -2.21 l
+1.29 -2.19 l
+1.30 -2.16 l
+1.30 -2.12 l
+1.30 -2.10 l
+1.30 -2.07 l
+1.30 -2.03 l
+1.29 -2.02 l
+1.30 -1.99 l
+1.30 -1.97 l
+1.30 -1.95 l
+1.30 -1.93 l
+1.30 -1.92 l
+1.30 -1.91 l
+1.29 -1.90 l
+1.30 -1.89 l
+1.30 -1.88 l
+1.30 -1.87 l
+1.30 -1.85 l
+1.30 -1.83 l
+1.29 -1.80 l
+1.30 -1.78 l
+1.30 -1.74 l
+1.30 -1.70 l
+363.28 142.36 lineto
+1.30 -1.60 l
+1.30 -1.56 l
+1.29 -1.50 l
+1.30 -1.44 l
+1.30 -1.38 l
+1.30 -1.32 l
+1.30 -1.26 l
+1.30 -1.19 l
+1.30 -1.13 l
+1.29 -1.08 l
+1.30 -1.02 l
+1.30 -0.97 l
+1.30 -0.92 l
+1.30 -0.86 l
+1.30 -0.82 l
+1.29 -0.77 l
+1.30 -0.73 l
+1.30 -0.69 l
+1.30 -0.65 l
+1.30 -0.62 l
+1.30 -0.58 l
+1.30 -0.55 l
+1.29 -0.52 l
+1.30 -0.49 l
+1.30 -0.47 l
+1.30 -0.44 l
+1.30 -0.42 l
+1.30 -0.40 l
+1.29 -0.38 l
+1.30 -0.36 l
+1.30 -0.35 l
+1.30 -0.33 l
+1.30 -0.32 l
+1.30 -0.30 l
+1.30 -0.30 l
+1.29 -0.29 l
+1.30 -0.28 l
+1.30 -0.27 l
+1.30 -0.27 l
+1.30 -0.27 l
+1.30 -0.26 l
+1.30 -0.26 l
+1.29 -0.27 l
+1.30 -0.25 l
+1.30 -0.26 l
+1.30 -0.26 l
+1.30 -0.25 l
+1.30 -0.26 l
+1.29 -0.25 l
+1.30 -0.25 l
+1.30 -0.24 l
+1.30 -0.24 l
+1.30 -0.22 l
+1.30 -0.23 l
+1.30 -0.21 l
+1.29 -0.20 l
+1.30 -0.18 l
+1.30 -0.17 l
+1.30 -0.16 l
+1.30 -0.13 l
+1.30 -0.12 l
+1.30 -0.10 l
+1.29 -0.08 l
+1.30 -0.05 l
+1.30 -0.03 l
+1.30 -0.02 l
+1.30 0.01 l
+1.30 0.02 l
+1.29 0.04 l
+1.30 0.05 l
+1.30 0.06 l
+1.30 0.07 l
+1.30 0.07 l
+1.30 0.07 l
+1.30 0.07 l
+1.29 0.06 l
+1.30 0.05 l
+1.30 0.04 l
+1.30 0.02 l
+1.30 0.01 l
+1.30 0 l
+1.29 -0.02 l
+1.30 -0.04 l
+1.30 -0.05 l
+1.30 -0.06 l
+1.30 -0.08 l
+1.30 -0.08 l
+1.30 -0.09 l
+1.29 -0.09 l
+1.30 -0.09 l
+1.30 -0.09 l
+1.30 -0.08 l
+1.30 -0.08 l
+1.30 -0.07 l
+1.30 -0.06 l
+1.29 -0.04 l
+1.30 -0.04 l
+1.30 -0.02 l
+1.30 -0.02 l
+493.13 107.85 lineto
+1.30 0 l
+1.29 0.01 l
+1.30 0.01 l
+1.30 0.01 l
+1.30 0.02 l
+1.30 0.01 l
+1.30 0 l
+1.30 -0.01 l
+1.29 -0.01 l
+1.30 -0.03 l
+1.30 -0.04 l
+1.30 -0.06 l
+1.30 -0.08 l
+1.30 -0.09 l
+1.29 -0.11 l
+1.30 -0.13 l
+1.30 -0.14 l
+1.30 -0.16 l
+1.30 -0.18 l
+1.30 -0.18 l
+1.30 -0.21 l
+1.29 -0.20 l
+1.30 -0.22 l
+1.30 -0.22 l
+1.30 -0.22 l
+1.30 -0.22 l
+1.30 -0.21 l
+1.30 -0.21 l
+1.29 -0.19 l
+1.30 -0.18 l
+1.30 -0.17 l
+1.30 -0.15 l
+1.30 -0.13 l
+1.30 -0.11 l
+1.29 -0.08 l
+1.30 -0.07 l
+1.30 -0.04 l
+1.30 -0.03 l
+1.30 -0.01 l
+1.30 0.01 l
+1.30 0.02 l
+1.29 0.04 l
+1.30 0.04 l
+1.30 0.05 l
+1.30 0.05 l
+1.30 0.05 l
+1.30 0.05 l
+1.30 0.05 l
+1.29 0.04 l
+1.30 0.03 l
+1.30 0.03 l
+1.30 0.01 l
+1.30 0.01 l
+1.30 0.01 l
+1.29 -0.01 l
+1.30 0 l
+1.30 -0.01 l
+1.30 -0.01 l
+1.30 -0.01 l
+1.30 -0.01 l
+1.30 -0.01 l
+1.29 0 l
+1.30 0 l
+1.30 0.01 l
+1.30 0.01 l
+1.30 0.02 l
+1.30 0.01 l
+1.29 0.02 l
+1.30 0.01 l
+1.30 0.01 l
+1.30 0 l
+1.30 -0.01 l
+1.30 -0.02 l
+1.30 -0.03 l
+1.29 -0.04 l
+1.30 -0.05 l
+1.30 -0.08 l
+1.30 -0.08 l
+1.30 -0.09 l
+1.30 -0.11 l
+1.30 -0.11 l
+1.29 -0.11 l
+1.30 -0.12 l
+1.30 -0.12 l
+1.30 -0.11 l
+1.30 -0.10 l
+1.30 -0.10 l
+1.29 -0.08 l
+1.30 -0.07 l
+1.30 -0.05 l
+1.30 -0.03 l
+1.30 -0.02 l
+1.30 -0.01 l
+1.30 0.01 l
+1.29 0.02 l
+1.30 0.02 l
+1.30 0.03 l
+1.30 0.04 l
+1.30 0.03 l
+622.98 102.97 lineto
+1.29 0.02 l
+1.30 0 l
+1.30 -0.01 l
+1.30 -0.02 l
+1.30 -0.05 l
+1.30 -0.06 l
+1.30 -0.08 l
+1.29 -0.09 l
+1.30 -0.12 l
+1.30 -0.12 l
+1.30 -0.14 l
+1.30 -0.16 l
+1.30 -0.16 l
+1.30 -0.16 l
+1.29 -0.17 l
+1.30 -0.18 l
+1.30 -0.17 l
+1.30 -0.16 l
+1.30 -0.17 l
+1.30 -0.15 l
+1.29 -0.15 l
+1.30 -0.14 l
+1.30 -0.14 l
+1.30 -0.12 l
+1.30 -0.12 l
+1.30 -0.11 l
+1.30 -0.10 l
+1.29 -0.09 l
+1.30 -0.08 l
+1.30 -0.08 l
+1.30 -0.08 l
+1.30 -0.06 l
+1.30 -0.06 l
+1.30 -0.05 l
+1.29 -0.05 l
+1.30 -0.04 l
+1.30 -0.04 l
+1.30 -0.03 l
+1.30 -0.02 l
+1.30 -0.01 l
+1.29 -0.01 l
+1.30 0 l
+1.30 0 l
+1.30 0.01 l
+1.30 0.01 l
+1.30 0.02 l
+1.30 0.02 l
+1.29 0.02 l
+1.30 0.03 l
+1.30 0.02 l
+1.30 0.02 l
+1.30 0.01 l
+1.30 0.01 l
+1.29 0 l
+1.30 0 l
+1.30 -0.02 l
+1.30 -0.02 l
+1.30 -0.03 l
+1.30 -0.04 l
+1.30 -0.05 l
+1.29 -0.05 l
+1.30 -0.06 l
+1.30 -0.07 l
+1.30 -0.08 l
+1.30 -0.07 l
+1.30 -0.08 l
+1.30 -0.08 l
+1.29 -0.08 l
+1.30 -0.09 l
+1.30 -0.08 l
+1.30 -0.07 l
+1.30 -0.08 l
+1.30 -0.07 l
+1.29 -0.08 l
+1.30 -0.06 l
+1.30 -0.07 l
+1.30 -0.07 l
+1.30 -0.06 l
+1.30 -0.06 l
+1.30 -0.06 l
+1.29 -0.06 l
+1.30 -0.06 l
+1.30 -0.06 l
+1.30 -0.05 l
+1.30 -0.06 l
+1.30 -0.05 l
+1.29 -0.05 l
+1.30 -0.05 l
+1.30 -0.05 l
+1.30 -0.05 l
+1.30 -0.04 l
+1.30 -0.05 l
+1.30 -0.03 l
+1.29 -0.04 l
+1.30 -0.03 l
+1.30 -0.03 l
+1.30 -0.03 l
+1.30 -0.03 l
+1.30 -0.02 l
+752.83 96.98 lineto
+1.29 -0.02 l
+1.30 -0.01 l
+1.30 -0.02 l
+1.30 -0.01 l
+1.30 0 l
+1.30 -0.01 l
+1.29 -0.01 l
+1.30 0 l
+1.30 0 l
+1.30 -0.01 l
+1.30 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+130.57 91.44 m
+616.24 0 l
+o
+np
+130.57 91.44 m
+0 -7.20 l
+o
+np
+253.82 91.44 m
+0 -7.20 l
+o
+np
+377.06 91.44 m
+0 -7.20 l
+o
+np
+500.31 91.44 m
+0 -7.20 l
+o
+np
+623.56 91.44 m
+0 -7.20 l
+o
+np
+746.81 91.44 m
+0 -7.20 l
+o
+/ps 12 def /Font1 findfont 12 s
+130.57 65.52 (-6) .5 0 0 t
+253.82 65.52 (-4) .5 0 0 t
+377.06 65.52 (-2) .5 0 0 t
+500.31 65.52 (0) .5 0 0 t
+623.56 65.52 (2) .5 0 0 t
+746.81 65.52 (4) .5 0 0 t
+np
+77.04 96.88 m
+0 133.86 l
+o
+np
+77.04 96.88 m
+-7.20 0 l
+o
+np
+77.04 130.35 m
+-7.20 0 l
+o
+np
+77.04 163.81 m
+-7.20 0 l
+o
+np
+77.04 197.27 m
+-7.20 0 l
+o
+np
+77.04 230.74 m
+-7.20 0 l
+o
+59.76 96.88 (0.0) .5 0 90 t
+59.76 130.35 (0.1) .5 0 90 t
+59.76 163.81 (0.2) .5 0 90 t
+59.76 197.27 (0.3) .5 0 90 t
+59.76 230.74 (0.4) .5 0 90 t
+np
+77.04 91.44 m
+716.61 0 l
+0 147.16 l
+-716.61 0 l
+0 -147.16 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+435.34 263.09 (Y-E[Y|X]) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+435.34 36.72 (Difference) .5 0 0 t
+30.96 165.02 (Density) .5 0 90 t
+77.04 91.44 793.65 238.60 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+77.04 96.88 m
+716.61 0 l
+o
+ep
+%%Page: 3 3
+bp
+77.04 371.08 793.65 518.24 cl
+77.04 371.08 793.65 518.24 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 446.02 m
+13.27 -1.53 l
+13.27 5.69 l
+13.27 -12.52 l
+13.27 -2.27 l
+13.27 5.69 l
+13.27 -1.14 l
+13.27 44.78 l
+13.28 28.07 l
+13.27 -2.28 l
+13.27 -2.28 l
+13.27 -5.30 l
+13.27 -3.80 l
+13.27 -6.26 l
+13.27 -6.83 l
+13.27 0.18 l
+13.27 -6.67 l
+13.27 -6.60 l
+13.27 -9.11 l
+13.27 1.60 l
+13.27 -5.58 l
+13.27 3.59 l
+13.27 -8.15 l
+13.27 -5.87 l
+13.27 -3.23 l
+13.27 14.68 l
+13.28 10.93 l
+13.27 -8.36 l
+13.27 -9.85 l
+13.27 -5.31 l
+13.27 -0.38 l
+13.27 -19.35 l
+13.27 8.35 l
+13.27 -6.83 l
+13.27 15.55 l
+13.27 -7.40 l
+13.27 -8.92 l
+13.27 -1.50 l
+13.27 3.02 l
+13.27 -10.63 l
+13.27 2.67 l
+13.27 -1.71 l
+13.27 5.12 l
+13.27 6.08 l
+13.28 -7.97 l
+o
+18.00 297.64 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+435.34 316.36 (Time) .5 0 0 t
+30.96 444.66 (Time Series Value) .5 0 90 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+90.31 371.08 m
+663.53 0 l
+o
+np
+90.31 371.08 m
+0 -7.20 l
+o
+np
+223.02 371.08 m
+0 -7.20 l
+o
+np
+355.72 371.08 m
+0 -7.20 l
+o
+np
+488.43 371.08 m
+0 -7.20 l
+o
+np
+621.13 371.08 m
+0 -7.20 l
+o
+np
+753.84 371.08 m
+0 -7.20 l
+o
+/ps 12 def /Font1 findfont 12 s
+90.31 345.16 (0) .5 0 0 t
+223.02 345.16 (10) .5 0 0 t
+355.72 345.16 (20) .5 0 0 t
+488.43 345.16 (30) .5 0 0 t
+621.13 345.16 (40) .5 0 0 t
+753.84 345.16 (50) .5 0 0 t
+np
+77.04 380.75 m
+0 136.59 l
+o
+np
+77.04 380.75 m
+-7.20 0 l
+o
+np
+77.04 403.52 m
+-7.20 0 l
+o
+np
+77.04 426.28 m
+-7.20 0 l
+o
+np
+77.04 449.04 m
+-7.20 0 l
+o
+np
+77.04 471.81 m
+-7.20 0 l
+o
+np
+77.04 494.57 m
+-7.20 0 l
+o
+np
+77.04 517.34 m
+-7.20 0 l
+o
+59.76 380.75 (30) .5 0 90 t
+59.76 426.28 (50) .5 0 90 t
+59.76 471.81 (70) .5 0 90 t
+59.76 517.34 (90) .5 0 90 t
+np
+77.04 371.08 m
+716.61 0 l
+0 147.16 l
+-716.61 0 l
+0 -147.16 l
+o
+77.04 371.08 793.65 518.24 cl
+0 0 1 rgb
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+700.76 431.55 m
+13.27 1.62 l
+13.27 1.58 l
+13.27 0.66 l
+13.27 -1.12 l
+13.27 -1.79 l
+o
+0.75 setlinewidth
+[ 3.00 5.00] 0 setdash
+np
+700.76 435.78 m
+13.27 1.93 l
+13.27 2.32 l
+13.27 0.96 l
+13.27 0.13 l
+13.27 -0.52 l
+o
+np
+700.76 421.20 m
+13.27 6.63 l
+13.27 -2.86 l
+13.27 3.79 l
+13.27 -4.03 l
+13.27 -0.46 l
+o
+0 0.8039 0 rgb
+np
+700.76 449.21 m
+13.27 11.44 l
+13.27 10.36 l
+13.27 7.96 l
+13.27 5.45 l
+13.27 4.06 l
+o
+np
+700.76 413.90 m
+13.27 -8.21 l
+13.27 -7.21 l
+13.27 -6.63 l
+13.27 -7.70 l
+13.27 -7.62 l
+o
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+np
+687.49 424.39 m
+13.27 7.16 l
+o
+1 0 0 rgb
+np
+687.49 371.08 m
+0 147.16 l
+o
+77.04 91.44 793.65 238.60 cl
+77.04 91.44 793.65 238.60 cl
+0 0 1 rgb
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 165.56 m
+132.71 0 l
+132.70 0 l
+132.71 0 l
+132.70 0 l
+132.71 0 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+435.34 263.09 (E[Y|X1] - E[Y|X]) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+435.34 36.72 (Time From First Counterfactual) .5 0 0 t
+30.96 165.02 (Difference) .5 0 90 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 91.44 m
+663.53 0 l
+o
+np
+103.58 91.44 m
+0 -7.20 l
+o
+np
+236.29 91.44 m
+0 -7.20 l
+o
+np
+368.99 91.44 m
+0 -7.20 l
+o
+np
+501.70 91.44 m
+0 -7.20 l
+o
+np
+634.40 91.44 m
+0 -7.20 l
+o
+np
+767.11 91.44 m
+0 -7.20 l
+o
+/ps 12 def /Font1 findfont 12 s
+103.58 65.52 (1) .5 0 0 t
+236.29 65.52 (2) .5 0 0 t
+368.99 65.52 (3) .5 0 0 t
+501.70 65.52 (4) .5 0 0 t
+634.40 65.52 (5) .5 0 0 t
+767.11 65.52 (6) .5 0 0 t
+np
+77.04 94.61 m
+0 118.05 l
+o
+np
+77.04 94.61 m
+-7.20 0 l
+o
+np
+77.04 124.12 m
+-7.20 0 l
+o
+np
+77.04 153.64 m
+-7.20 0 l
+o
+np
+77.04 183.15 m
+-7.20 0 l
+o
+np
+77.04 212.66 m
+-7.20 0 l
+o
+59.76 94.61 (6) .5 0 90 t
+59.76 124.12 (8) .5 0 90 t
+59.76 153.64 (10) .5 0 90 t
+59.76 183.15 (12) .5 0 90 t
+59.76 212.66 (14) .5 0 90 t
+np
+77.04 91.44 m
+716.61 0 l
+0 147.16 l
+-716.61 0 l
+0 -147.16 l
+o
+77.04 91.44 793.65 238.60 cl
+0 0 1 rgb
+0.75 setlinewidth
+[ 3.00 5.00] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+103.58 233.15 m
+132.71 0 l
+132.70 0 l
+132.71 0 l
+132.70 0 l
+132.71 0 l
+o
+np
+103.58 96.89 m
+132.71 0 l
+132.70 0 l
+132.71 0 l
+132.70 0 l
+132.71 0 l
+o
+ep
+%%Page: 4 4
+bp
+56.02 428.87 814.39 558.27 cl
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 402.26 (Pr\(Y1 = 1\)) .5 0 0 t
+35.11 493.57 (Pr\(Y2 = 1\)) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+120.70 433.66 m
+-7.34 0.36 l
+o
+np
+86.50 438.65 m
+-2.40 1.16 l
+o
+np
+113.36 434.02 m
+-15.73 2.71 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+93.52 439.75 m
+-2.14 0.37 l
+o
+np
+91.38 440.12 m
+-0.55 -1.89 l
+o
+np
+90.83 438.23 m
+0.26 0.18 l
+o
+np
+91.09 438.41 m
+0.68 0.10 l
+o
+np
+91.77 438.51 m
+0.64 -0.11 l
+o
+np
+92.41 438.40 m
+0.60 -0.32 l
+o
+np
+93.01 438.08 m
+0.36 -0.50 l
+o
+np
+93.37 437.58 m
+0.10 -0.68 l
+o
+np
+93.47 436.90 m
+-0.07 -0.43 l
+o
+np
+93.40 436.47 m
+-0.33 -0.61 l
+o
+np
+93.07 435.86 m
+-0.50 -0.35 l
+o
+np
+92.57 435.51 m
+-0.68 -0.11 l
+o
+np
+91.89 435.40 m
+-0.64 0.11 l
+o
+np
+91.25 435.51 m
+-0.61 0.33 l
+o
+np
+90.64 435.84 m
+-0.18 0.25 l
+o
+np
+90.46 436.09 m
+-0.14 0.47 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+84.10 478.01 m
+0.40 0.58 l
+o
+np
+84.50 478.59 m
+-0.40 1.21 l
+o
+np
+84.10 491.97 m
+3.47 1.60 l
+o
+np
+113.36 498.05 m
+26.06 0.51 l
+o
+np
+139.42 498.56 m
+3.20 0.32 l
+o
+np
+142.62 498.88 m
+6.89 -0.32 l
+o
+np
+149.51 498.56 m
+22.37 -0.21 l
+o
+np
+171.88 498.35 m
+3.42 0.21 l
+o
+np
+175.30 498.56 m
+19.51 4.99 l
+o
+np
+194.81 503.55 m
+6.33 0.87 l
+o
+np
+201.14 504.42 m
+29.25 1.36 l
+o
+np
+230.39 505.78 m
+29.26 -0.15 l
+o
+np
+259.65 505.63 m
+11.80 -2.08 l
+o
+np
+271.45 503.55 m
+2.75 -4.99 l
+o
+np
+274.20 498.56 m
+14.71 -4.43 l
+o
+np
+288.91 494.13 m
+15.00 -0.56 l
+o
+np
+303.91 493.57 m
+-5.30 -5.00 l
+o
+np
+298.61 488.57 m
+17.60 -4.99 l
+o
+np
+316.21 483.58 m
+1.96 -0.41 l
+o
+np
+318.17 483.17 m
+29.26 -1.66 l
+o
+np
+347.43 481.51 m
+11.41 -2.92 l
+o
+np
+358.84 478.59 m
+6.38 -4.99 l
+o
+np
+365.22 473.60 m
+11.46 -3.09 l
+o
+np
+376.68 470.51 m
+29.26 -1.79 l
+o
+np
+405.94 468.72 m
+1.29 -0.11 l
+o
+np
+407.23 468.61 m
+27.97 -2.29 l
+o
+np
+435.20 466.32 m
+11.46 -2.71 l
+o
+np
+446.66 463.61 m
+17.80 -4.51 l
+o
+np
+464.46 459.10 m
+8.11 -0.48 l
+o
+np
+472.57 458.62 m
+6.25 -4.99 l
+o
+np
+478.82 453.63 m
+-14.36 -4.63 l
+o
+np
+464.46 449.00 m
+-5.24 -0.36 l
+o
+np
+459.22 448.64 m
+-24.02 -1.89 l
+o
+np
+435.20 446.75 m
+-6.18 -3.11 l
+o
+np
+429.02 443.64 m
+-23.08 -2.90 l
+o
+np
+405.94 440.74 m
+-21.90 -2.09 l
+o
+np
+384.04 438.65 m
+-7.36 -0.45 l
+o
+np
+376.68 438.20 m
+-29.25 -2.18 l
+o
+np
+347.43 436.02 m
+-29.26 -0.44 l
+o
+np
+318.17 435.58 m
+-29.26 -1.18 l
+o
+np
+288.91 434.40 m
+-14.99 -0.74 l
+o
+np
+98.70 495.50 m
+14.66 2.55 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+93.82 496.97 m
+-2.15 -0.37 l
+o
+np
+91.67 496.60 m
+0.12 -1.97 l
+o
+np
+91.79 494.63 m
+0.18 0.25 l
+o
+np
+91.97 494.88 m
+0.61 0.33 l
+o
+np
+92.58 495.21 m
+0.64 0.11 l
+o
+np
+93.22 495.32 m
+0.68 -0.10 l
+o
+np
+93.90 495.22 m
+0.50 -0.35 l
+o
+np
+94.40 494.87 m
+0.33 -0.61 l
+o
+np
+94.73 494.26 m
+0.07 -0.43 l
+o
+np
+94.80 493.83 m
+-0.10 -0.68 l
+o
+np
+94.70 493.15 m
+-0.35 -0.50 l
+o
+np
+94.35 492.65 m
+-0.61 -0.33 l
+o
+np
+93.74 492.32 m
+-0.64 -0.11 l
+o
+np
+93.10 492.21 m
+-0.68 0.10 l
+o
+np
+92.42 492.31 m
+-0.25 0.18 l
+o
+np
+92.17 492.49 m
+-0.29 0.39 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+122.00 508.54 m
+19.26 5.00 l
+o
+np
+141.26 513.54 m
+1.36 0.10 l
+o
+np
+142.62 513.64 m
+0.54 -0.10 l
+o
+np
+143.16 513.54 m
+6.34 -5.00 l
+o
+np
+149.50 508.54 m
+-6.88 -2.05 l
+o
+np
+142.62 506.49 m
+-9.37 0.93 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+128.93 510.15 m
+-2.16 0.21 l
+o
+np
+126.77 510.36 m
+-0.41 -1.92 l
+o
+np
+126.36 508.44 m
+0.23 0.19 l
+o
+np
+126.59 508.63 m
+0.67 0.15 l
+o
+np
+127.26 508.78 m
+0.65 -0.06 l
+o
+np
+127.91 508.72 m
+0.63 -0.28 l
+o
+np
+128.54 508.44 m
+0.39 -0.48 l
+o
+np
+128.93 507.96 m
+0.15 -0.67 l
+o
+np
+129.08 507.29 m
+-0.04 -0.43 l
+o
+np
+129.04 506.86 m
+-0.28 -0.63 l
+o
+np
+128.76 506.23 m
+-0.48 -0.39 l
+o
+np
+128.28 505.84 m
+-0.67 -0.15 l
+o
+np
+127.61 505.69 m
+-0.65 0.07 l
+o
+np
+126.96 505.76 m
+-0.62 0.28 l
+o
+np
+126.34 506.04 m
+-0.20 0.23 l
+o
+np
+126.14 506.27 m
+-0.17 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+84.10 463.89 m
+3.66 4.72 l
+o
+np
+87.76 468.61 m
+3.63 4.99 l
+o
+np
+91.39 473.60 m
+4.64 4.99 l
+o
+np
+96.03 478.59 m
+0.68 4.99 l
+o
+np
+96.71 483.58 m
+3.59 4.99 l
+o
+np
+100.30 488.57 m
+13.06 3.56 l
+o
+np
+113.36 492.13 m
+29.26 1.08 l
+o
+np
+171.88 492.81 m
+25.84 0.76 l
+o
+np
+197.72 493.57 m
+3.42 0.21 l
+o
+np
+201.14 493.78 m
+1.99 -0.21 l
+o
+np
+203.13 493.57 m
+27.26 -2.27 l
+o
+np
+230.39 491.30 m
+13.14 -2.73 l
+o
+np
+243.53 488.57 m
+11.45 -4.99 l
+o
+np
+254.98 483.58 m
+4.67 -1.52 l
+o
+np
+259.65 482.06 m
+17.04 -3.47 l
+o
+np
+276.69 478.59 m
+12.22 -3.29 l
+o
+np
+288.91 475.30 m
+9.46 -1.70 l
+o
+np
+298.37 473.60 m
+19.80 -2.52 l
+o
+np
+318.17 471.08 m
+16.15 -2.47 l
+o
+np
+334.32 468.61 m
+13.11 -2.59 l
+o
+np
+347.43 466.02 m
+14.52 -2.41 l
+o
+np
+361.95 463.61 m
+14.73 -2.55 l
+o
+np
+376.68 461.06 m
+29.26 0.06 l
+o
+np
+405.94 461.12 m
+10.17 -2.50 l
+o
+np
+416.11 458.62 m
+-9.85 -4.99 l
+o
+np
+406.26 453.63 m
+-0.32 -0.07 l
+o
+np
+405.94 453.56 m
+-23.50 -4.92 l
+o
+np
+382.44 448.64 m
+-5.76 -1.34 l
+o
+np
+376.68 447.30 m
+-12.39 -3.66 l
+o
+np
+364.29 443.64 m
+-16.86 -2.46 l
+o
+np
+347.43 441.18 m
+-29.26 -1.60 l
+o
+np
+318.17 439.58 m
+-11.00 -0.93 l
+o
+np
+307.17 438.65 m
+-18.26 -1.33 l
+o
+np
+288.91 437.32 m
+-29.26 -2.05 l
+o
+np
+259.65 435.27 m
+-29.26 -0.84 l
+o
+np
+230.39 434.43 m
+-29.25 -0.30 l
+o
+np
+201.14 434.13 m
+-29.26 0.07 l
+o
+np
+171.88 434.20 m
+-29.26 0.27 l
+o
+np
+142.62 434.47 m
+-29.26 1.91 l
+o
+np
+113.36 436.38 m
+-13.14 2.27 l
+o
+np
+100.22 438.65 m
+-12.79 4.99 l
+o
+np
+87.43 443.64 m
+-3.33 3.99 l
+o
+np
+158.27 493.00 m
+13.61 -0.19 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+147.42 494.56 m
+0.44 0.21 l
+o
+np
+147.86 494.77 m
+0.66 0.64 l
+o
+np
+148.52 495.41 m
+-0.06 -4.56 l
+o
+np
+152.43 495.36 m
+-0.65 -0.21 l
+o
+np
+151.78 495.15 m
+-0.45 -0.65 l
+o
+np
+151.33 494.50 m
+-0.23 -1.08 l
+o
+np
+151.10 493.42 m
+-0.01 -0.65 l
+o
+np
+151.09 492.77 m
+0.20 -1.09 l
+o
+np
+151.29 491.68 m
+0.43 -0.66 l
+o
+np
+151.72 491.02 m
+0.65 -0.23 l
+o
+np
+152.37 490.79 m
+0.43 0 l
+o
+np
+152.80 490.79 m
+0.66 0.21 l
+o
+np
+153.46 491.00 m
+0.44 0.64 l
+o
+np
+153.90 491.64 m
+0.23 1.09 l
+o
+np
+154.13 492.73 m
+0.01 0.65 l
+o
+np
+154.14 493.38 m
+-0.20 1.09 l
+o
+np
+153.94 494.47 m
+-0.42 0.66 l
+o
+np
+153.52 495.13 m
+-0.65 0.22 l
+o
+np
+152.87 495.35 m
+-0.44 0.01 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 438.74 m
+-18.03 4.90 l
+o
+np
+95.33 443.64 m
+-5.44 5.00 l
+o
+np
+89.89 448.64 m
+-1.79 4.99 l
+o
+np
+88.10 453.63 m
+0.35 4.99 l
+o
+np
+88.45 458.62 m
+2.86 4.99 l
+o
+np
+91.31 463.61 m
+5.26 5.00 l
+o
+np
+96.57 468.61 m
+4.70 4.99 l
+o
+np
+101.27 473.60 m
+6.30 4.99 l
+o
+np
+107.57 478.59 m
+3.27 4.99 l
+o
+np
+110.84 483.58 m
+2.52 1.64 l
+o
+np
+113.36 485.22 m
+17.97 3.35 l
+o
+np
+131.33 488.57 m
+11.29 0.87 l
+o
+np
+142.62 489.44 m
+29.26 0.29 l
+o
+np
+171.88 489.73 m
+29.26 0.85 l
+o
+np
+218.17 488.57 m
+12.22 -2.86 l
+o
+np
+230.39 485.71 m
+6.32 -2.13 l
+o
+np
+236.71 483.58 m
+14.70 -4.99 l
+o
+np
+251.41 478.59 m
+8.24 -1.80 l
+o
+np
+259.65 476.79 m
+14.25 -3.19 l
+o
+np
+273.90 473.60 m
+15.01 -4.11 l
+o
+np
+288.91 469.49 m
+6.81 -0.88 l
+o
+np
+295.72 468.61 m
+22.45 -3.56 l
+o
+np
+318.17 465.05 m
+7.41 -1.44 l
+o
+np
+325.58 463.61 m
+21.85 -4.27 l
+o
+np
+347.43 459.34 m
+4.16 -0.72 l
+o
+np
+351.59 458.62 m
+12.21 -4.99 l
+o
+np
+363.80 453.63 m
+-10.41 -4.99 l
+o
+np
+353.39 448.64 m
+-5.96 -1.50 l
+o
+np
+347.43 447.14 m
+-21.22 -3.50 l
+o
+np
+326.21 443.64 m
+-8.04 -0.67 l
+o
+np
+318.17 442.97 m
+-29.26 -2.94 l
+o
+np
+288.91 440.03 m
+-13.99 -1.38 l
+o
+np
+274.92 438.65 m
+-15.27 -1.26 l
+o
+np
+259.65 437.39 m
+-29.26 -1.23 l
+o
+np
+230.39 436.16 m
+-29.25 -0.51 l
+o
+np
+201.14 435.65 m
+-29.26 -0.02 l
+o
+np
+171.88 435.63 m
+-29.26 0.31 l
+o
+np
+142.62 435.94 m
+-28.61 2.71 l
+o
+np
+114.01 438.65 m
+-0.65 0.09 l
+o
+np
+216.68 488.75 m
+1.49 -0.18 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+206.05 491.42 m
+0.46 0.17 l
+o
+np
+206.51 491.59 m
+0.72 0.57 l
+o
+np
+207.23 492.16 m
+-0.53 -4.53 l
+o
+np
+212.41 491.55 m
+-2.16 0.25 l
+o
+np
+210.25 491.80 m
+-0.44 -1.91 l
+o
+np
+209.81 489.89 m
+0.24 0.19 l
+o
+np
+210.05 490.08 m
+0.67 0.14 l
+o
+np
+210.72 490.22 m
+0.65 -0.08 l
+o
+np
+211.37 490.14 m
+0.62 -0.29 l
+o
+np
+211.99 489.85 m
+0.38 -0.49 l
+o
+np
+212.37 489.36 m
+0.14 -0.67 l
+o
+np
+212.51 488.69 m
+-0.05 -0.43 l
+o
+np
+212.46 488.26 m
+-0.29 -0.62 l
+o
+np
+212.17 487.64 m
+-0.48 -0.38 l
+o
+np
+211.69 487.26 m
+-0.67 -0.14 l
+o
+np
+211.02 487.12 m
+-0.65 0.07 l
+o
+np
+210.37 487.19 m
+-0.62 0.30 l
+o
+np
+209.75 487.49 m
+-0.19 0.24 l
+o
+np
+209.56 487.73 m
+-0.17 0.45 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 440.89 m
+-10.12 2.75 l
+o
+np
+103.24 443.64 m
+-6.89 5.00 l
+o
+np
+96.35 448.64 m
+-2.38 4.99 l
+o
+np
+93.97 453.63 m
+0.72 4.99 l
+o
+np
+94.69 458.62 m
+4.00 4.99 l
+o
+np
+98.69 463.61 m
+6.70 5.00 l
+o
+np
+105.39 468.61 m
+5.75 4.99 l
+o
+np
+111.14 473.60 m
+2.22 1.55 l
+o
+np
+113.36 475.15 m
+6.65 3.44 l
+o
+np
+120.01 478.59 m
+10.29 4.99 l
+o
+np
+130.30 483.58 m
+12.32 2.18 l
+o
+np
+142.62 485.76 m
+29.26 0.83 l
+o
+np
+171.88 486.59 m
+29.26 0.53 l
+o
+np
+201.14 487.12 m
+16.55 -3.54 l
+o
+np
+217.69 483.58 m
+12.70 -4.52 l
+o
+np
+230.39 479.06 m
+1.34 -0.47 l
+o
+np
+254.72 473.60 m
+4.93 -0.97 l
+o
+np
+259.65 472.63 m
+16.38 -4.02 l
+o
+np
+276.03 468.61 m
+12.88 -4.55 l
+o
+np
+288.91 464.06 m
+2.77 -0.45 l
+o
+np
+291.68 463.61 m
+26.49 -4.44 l
+o
+np
+318.17 459.17 m
+2.85 -0.55 l
+o
+np
+321.02 458.62 m
+6.11 -4.99 l
+o
+np
+327.13 453.63 m
+-8.96 -2.55 l
+o
+np
+318.17 451.08 m
+-4.06 -2.44 l
+o
+np
+314.11 448.64 m
+-15.09 -5.00 l
+o
+np
+299.02 443.64 m
+-10.11 -1.07 l
+o
+np
+288.91 442.57 m
+-29.26 -3.14 l
+o
+np
+259.65 439.43 m
+-14.15 -0.78 l
+o
+np
+245.50 438.65 m
+-15.11 -0.75 l
+o
+np
+230.39 437.90 m
+-29.25 -0.74 l
+o
+np
+201.14 437.16 m
+-29.26 -0.10 l
+o
+np
+171.88 437.06 m
+-29.26 0.35 l
+o
+np
+142.62 437.41 m
+-13.08 1.24 l
+o
+np
+129.54 438.65 m
+-16.18 2.24 l
+o
+np
+247.03 475.27 m
+7.69 -1.67 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+236.23 478.84 m
+0.05 0.21 l
+o
+np
+236.28 479.05 m
+0.30 0.38 l
+o
+np
+236.58 479.43 m
+0.26 0.16 l
+o
+np
+236.84 479.59 m
+0.47 0.12 l
+o
+np
+237.31 479.71 m
+0.85 -0.18 l
+o
+np
+238.16 479.53 m
+0.38 -0.31 l
+o
+np
+238.54 479.22 m
+0.17 -0.26 l
+o
+np
+238.71 478.96 m
+0.12 -0.47 l
+o
+np
+238.83 478.49 m
+-0.09 -0.42 l
+o
+np
+238.74 478.07 m
+-0.31 -0.38 l
+o
+np
+238.43 477.69 m
+-0.56 -0.54 l
+o
+np
+237.87 477.15 m
+-2.59 -1.67 l
+o
+np
+235.28 475.48 m
+2.98 -0.64 l
+o
+np
+241.77 478.74 m
+-0.68 -0.07 l
+o
+np
+241.09 478.67 m
+-0.56 -0.55 l
+o
+np
+240.53 478.12 m
+-0.44 -1.01 l
+o
+np
+240.09 477.11 m
+-0.14 -0.64 l
+o
+np
+239.95 476.47 m
+-0.02 -1.11 l
+o
+np
+239.93 475.36 m
+0.28 -0.73 l
+o
+np
+240.21 474.63 m
+0.60 -0.35 l
+o
+np
+240.81 474.28 m
+0.42 -0.09 l
+o
+np
+241.23 474.19 m
+0.68 0.07 l
+o
+np
+241.91 474.26 m
+0.57 0.55 l
+o
+np
+242.48 474.81 m
+0.44 1.02 l
+o
+np
+242.92 475.83 m
+0.14 0.63 l
+o
+np
+243.06 476.46 m
+0.02 1.11 l
+o
+np
+243.08 477.57 m
+-0.29 0.73 l
+o
+np
+242.79 478.30 m
+-0.59 0.35 l
+o
+np
+242.20 478.65 m
+-0.43 0.09 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 443.04 m
+-2.21 0.60 l
+o
+np
+111.15 443.64 m
+-8.33 5.00 l
+o
+np
+102.82 448.64 m
+-2.98 4.99 l
+o
+np
+99.84 453.63 m
+1.08 4.99 l
+o
+np
+100.92 458.62 m
+5.16 4.99 l
+o
+np
+106.08 463.61 m
+7.28 4.56 l
+o
+np
+113.36 468.17 m
+0.92 0.44 l
+o
+np
+114.28 468.61 m
+7.50 4.99 l
+o
+np
+121.78 473.60 m
+11.59 4.99 l
+o
+np
+133.37 478.59 m
+9.25 3.16 l
+o
+np
+142.62 481.75 m
+29.26 1.49 l
+o
+np
+171.88 483.24 m
+29.26 -1.46 l
+o
+np
+201.14 481.78 m
+6.39 -3.19 l
+o
+np
+207.53 478.59 m
+22.86 -3.90 l
+o
+np
+230.39 474.69 m
+5.04 -1.09 l
+o
+np
+235.43 473.60 m
+24.22 -4.77 l
+o
+np
+259.65 468.83 m
+0.90 -0.22 l
+o
+np
+276.11 463.61 m
+11.48 -4.99 l
+o
+np
+287.59 458.62 m
+1.32 -2.24 l
+o
+np
+288.91 456.38 m
+3.59 -2.75 l
+o
+np
+292.50 453.63 m
+-1.02 -4.99 l
+o
+np
+291.48 448.64 m
+-2.57 -0.82 l
+o
+np
+288.91 447.82 m
+-9.47 -4.18 l
+o
+np
+279.44 443.64 m
+-19.79 -2.30 l
+o
+np
+259.65 441.34 m
+-29.26 -1.87 l
+o
+np
+230.39 439.47 m
+-29.25 -0.80 l
+o
+np
+201.14 438.67 m
+-3.45 -0.02 l
+o
+np
+197.69 438.65 m
+-25.81 -0.16 l
+o
+np
+171.88 438.49 m
+-12.00 0.16 l
+o
+np
+159.88 438.65 m
+-17.26 0.22 l
+o
+np
+142.62 438.87 m
+-29.26 4.17 l
+o
+np
+275.45 463.82 m
+0.66 -0.21 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+265.05 468.41 m
+0.07 0.21 l
+o
+np
+265.12 468.62 m
+0.34 0.35 l
+o
+np
+265.46 468.97 m
+0.27 0.14 l
+o
+np
+265.73 469.11 m
+0.48 0.07 l
+o
+np
+266.21 469.18 m
+0.83 -0.26 l
+o
+np
+267.04 468.92 m
+0.35 -0.34 l
+o
+np
+267.39 468.58 m
+0.14 -0.28 l
+o
+np
+267.53 468.30 m
+0.07 -0.48 l
+o
+np
+267.60 467.82 m
+-0.13 -0.41 l
+o
+np
+267.47 467.41 m
+-0.34 -0.35 l
+o
+np
+267.13 467.06 m
+-0.61 -0.49 l
+o
+np
+266.52 466.57 m
+-2.74 -1.40 l
+o
+np
+263.78 465.17 m
+2.90 -0.93 l
+o
+np
+271.80 467.39 m
+-2.07 0.66 l
+o
+np
+269.73 468.05 m
+-0.80 -1.79 l
+o
+np
+268.93 466.26 m
+0.27 0.14 l
+o
+np
+269.20 466.40 m
+0.69 0.01 l
+o
+np
+269.89 466.41 m
+0.62 -0.20 l
+o
+np
+270.51 466.21 m
+0.55 -0.41 l
+o
+np
+271.06 465.80 m
+0.28 -0.55 l
+o
+np
+271.34 465.25 m
+0.01 -0.68 l
+o
+np
+271.35 464.57 m
+-0.13 -0.42 l
+o
+np
+271.22 464.15 m
+-0.41 -0.55 l
+o
+np
+270.81 463.60 m
+-0.55 -0.28 l
+o
+np
+270.26 463.32 m
+-0.68 -0.01 l
+o
+np
+269.58 463.31 m
+-0.62 0.20 l
+o
+np
+268.96 463.51 m
+-0.56 0.40 l
+o
+np
+268.40 463.91 m
+-0.14 0.28 l
+o
+np
+268.26 464.19 m
+-0.07 0.48 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 446.30 m
+-4.08 2.34 l
+o
+np
+109.28 448.64 m
+-3.57 4.99 l
+o
+np
+105.71 453.63 m
+1.44 4.99 l
+o
+np
+107.15 458.62 m
+6.21 4.93 l
+o
+np
+113.36 463.55 m
+0.11 0.06 l
+o
+np
+113.47 463.61 m
+10.42 5.00 l
+o
+np
+123.89 468.61 m
+8.74 4.99 l
+o
+np
+132.63 473.60 m
+9.99 3.74 l
+o
+np
+142.62 477.34 m
+29.26 0.15 l
+o
+np
+201.14 474.29 m
+4.04 -0.69 l
+o
+np
+205.18 473.60 m
+25.21 -2.74 l
+o
+np
+230.39 470.86 m
+11.51 -2.25 l
+o
+np
+241.90 468.61 m
+17.75 -4.19 l
+o
+np
+259.65 464.42 m
+2.52 -0.81 l
+o
+np
+262.17 463.61 m
+11.23 -4.99 l
+o
+np
+273.40 458.62 m
+5.18 -4.99 l
+o
+np
+278.58 453.63 m
+0.11 -4.99 l
+o
+np
+278.69 448.64 m
+-15.67 -5.00 l
+o
+np
+263.02 443.64 m
+-3.37 -0.39 l
+o
+np
+259.65 443.25 m
+-29.26 -2.32 l
+o
+np
+230.39 440.93 m
+-29.25 -1.10 l
+o
+np
+201.14 439.83 m
+-29.26 -0.16 l
+o
+np
+171.88 439.67 m
+-29.26 0.56 l
+o
+np
+142.62 440.23 m
+-22.73 3.41 l
+o
+np
+119.89 443.64 m
+-6.53 2.66 l
+o
+np
+187.44 475.79 m
+13.70 -1.50 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+176.66 479.26 m
+2.38 -0.26 l
+o
+np
+179.04 479.00 m
+-1.48 -1.58 l
+o
+np
+177.56 477.42 m
+0.64 -0.07 l
+o
+np
+178.20 477.35 m
+0.41 -0.27 l
+o
+np
+178.61 477.08 m
+0.19 -0.24 l
+o
+np
+178.80 476.84 m
+0.15 -0.67 l
+o
+np
+178.95 476.17 m
+-0.05 -0.43 l
+o
+np
+178.90 475.74 m
+-0.29 -0.63 l
+o
+np
+178.61 475.11 m
+-0.47 -0.38 l
+o
+np
+178.14 474.73 m
+-0.68 -0.15 l
+o
+np
+177.46 474.58 m
+-0.64 0.07 l
+o
+np
+176.82 474.65 m
+-0.63 0.29 l
+o
+np
+176.19 474.94 m
+-0.19 0.24 l
+o
+np
+176.00 475.18 m
+-0.17 0.46 l
+o
+np
+181.85 478.70 m
+-0.67 -0.15 l
+o
+np
+181.18 478.55 m
+-0.51 -0.60 l
+o
+np
+180.67 477.95 m
+-0.33 -1.06 l
+o
+np
+180.34 476.89 m
+-0.07 -0.65 l
+o
+np
+180.27 476.24 m
+0.10 -1.10 l
+o
+np
+180.37 475.14 m
+0.36 -0.70 l
+o
+np
+180.73 474.44 m
+0.62 -0.28 l
+o
+np
+181.35 474.16 m
+0.43 -0.05 l
+o
+np
+181.78 474.11 m
+0.68 0.15 l
+o
+np
+182.46 474.26 m
+0.50 0.60 l
+o
+np
+182.96 474.86 m
+0.33 1.05 l
+o
+np
+183.29 475.91 m
+0.08 0.65 l
+o
+np
+183.37 476.56 m
+-0.10 1.11 l
+o
+np
+183.27 477.67 m
+-0.36 0.69 l
+o
+np
+182.91 478.36 m
+-0.63 0.29 l
+o
+np
+182.28 478.65 m
+-0.43 0.05 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 451.38 m
+-1.78 2.25 l
+o
+np
+111.58 453.63 m
+1.78 4.95 l
+o
+np
+113.36 458.58 m
+0.02 0.04 l
+o
+np
+113.38 458.62 m
+8.67 4.99 l
+o
+np
+122.05 463.61 m
+11.46 5.00 l
+o
+np
+133.51 468.61 m
+9.11 4.60 l
+o
+np
+142.62 473.21 m
+29.26 0.26 l
+o
+np
+171.88 473.47 m
+29.26 -3.12 l
+o
+np
+217.19 468.61 m
+13.20 -1.60 l
+o
+np
+230.39 467.01 m
+14.73 -3.40 l
+o
+np
+245.12 463.61 m
+14.15 -4.99 l
+o
+np
+259.27 458.62 m
+0.38 -0.23 l
+o
+np
+259.65 458.39 m
+7.28 -4.76 l
+o
+np
+266.93 453.63 m
+0.23 -4.99 l
+o
+np
+267.16 448.64 m
+-7.51 -2.25 l
+o
+np
+259.65 446.39 m
+-14.06 -2.75 l
+o
+np
+245.59 443.64 m
+-15.20 -1.25 l
+o
+np
+230.39 442.39 m
+-29.25 -1.40 l
+o
+np
+201.14 440.99 m
+-29.26 -0.17 l
+o
+np
+171.88 440.82 m
+-29.26 0.77 l
+o
+np
+142.62 441.59 m
+-13.67 2.05 l
+o
+np
+128.95 443.64 m
+-12.85 5.00 l
+o
+np
+116.10 448.64 m
+-2.74 2.74 l
+o
+np
+216.70 468.66 m
+0.49 -0.05 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+205.92 472.12 m
+2.38 -0.25 l
+o
+np
+208.30 471.87 m
+-1.49 -1.59 l
+o
+np
+206.81 470.28 m
+0.65 -0.07 l
+o
+np
+207.46 470.21 m
+0.41 -0.27 l
+o
+np
+207.87 469.94 m
+0.19 -0.23 l
+o
+np
+208.06 469.71 m
+0.15 -0.68 l
+o
+np
+208.21 469.03 m
+-0.05 -0.43 l
+o
+np
+208.16 468.60 m
+-0.28 -0.62 l
+o
+np
+207.88 467.98 m
+-0.48 -0.39 l
+o
+np
+207.40 467.59 m
+-0.68 -0.14 l
+o
+np
+206.72 467.45 m
+-0.64 0.07 l
+o
+np
+206.08 467.52 m
+-0.63 0.28 l
+o
+np
+205.45 467.80 m
+-0.19 0.24 l
+o
+np
+205.26 468.04 m
+-0.17 0.46 l
+o
+np
+212.40 471.42 m
+-2.16 0.23 l
+o
+np
+210.24 471.65 m
+-0.42 -1.92 l
+o
+np
+209.82 469.73 m
+0.23 0.20 l
+o
+np
+210.05 469.93 m
+0.68 0.14 l
+o
+np
+210.73 470.07 m
+0.64 -0.07 l
+o
+np
+211.37 470.00 m
+0.63 -0.29 l
+o
+np
+212.00 469.71 m
+0.38 -0.47 l
+o
+np
+212.38 469.24 m
+0.15 -0.68 l
+o
+np
+212.53 468.56 m
+-0.05 -0.43 l
+o
+np
+212.48 468.13 m
+-0.28 -0.62 l
+o
+np
+212.20 467.51 m
+-0.48 -0.39 l
+o
+np
+211.72 467.12 m
+-0.67 -0.14 l
+o
+np
+211.05 466.98 m
+-0.65 0.07 l
+o
+np
+210.40 467.05 m
+-0.63 0.28 l
+o
+np
+209.77 467.33 m
+-0.19 0.24 l
+o
+np
+209.58 467.57 m
+-0.17 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 442.95 m
+-4.61 0.69 l
+o
+np
+138.01 443.64 m
+-14.51 5.00 l
+o
+np
+123.50 448.64 m
+-5.23 4.99 l
+o
+np
+118.27 453.63 m
+2.41 4.99 l
+o
+np
+120.68 458.62 m
+9.95 4.99 l
+o
+np
+130.63 463.61 m
+11.99 4.82 l
+o
+np
+142.62 468.43 m
+2.84 0.18 l
+o
+np
+145.46 468.61 m
+26.42 1.58 l
+o
+np
+171.88 470.19 m
+14.03 -1.58 l
+o
+np
+185.91 468.61 m
+15.23 -2.01 l
+o
+np
+201.14 466.60 m
+24.05 -2.99 l
+o
+np
+225.19 463.61 m
+5.20 -0.57 l
+o
+np
+246.86 458.62 m
+8.54 -4.99 l
+o
+np
+255.40 453.63 m
+-0.59 -4.99 l
+o
+np
+254.81 448.64 m
+-24.42 -4.63 l
+o
+np
+230.39 444.01 m
+-2.88 -0.37 l
+o
+np
+227.51 443.64 m
+-26.37 -1.49 l
+o
+np
+201.14 442.15 m
+-29.26 -0.18 l
+o
+np
+171.88 441.97 m
+-29.26 0.98 l
+o
+np
+245.51 458.98 m
+1.35 -0.36 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+237.07 463.61 m
+-2.89 -2.37 l
+o
+np
+234.18 461.24 m
+3.15 -0.85 l
+o
+np
+237.07 463.61 m
+-1.18 -4.41 l
+o
+np
+240.43 462.71 m
+-0.68 -0.04 l
+o
+np
+239.75 462.67 m
+-0.59 -0.52 l
+o
+np
+239.16 462.15 m
+-0.49 -0.99 l
+o
+np
+238.67 461.16 m
+-0.17 -0.63 l
+o
+np
+238.50 460.53 m
+-0.08 -1.11 l
+o
+np
+238.42 459.42 m
+0.25 -0.74 l
+o
+np
+238.67 458.68 m
+0.58 -0.38 l
+o
+np
+239.25 458.30 m
+0.42 -0.11 l
+o
+np
+239.67 458.19 m
+0.68 0.04 l
+o
+np
+240.35 458.23 m
+0.59 0.52 l
+o
+np
+240.94 458.75 m
+0.49 0.99 l
+o
+np
+241.43 459.74 m
+0.17 0.63 l
+o
+np
+241.60 460.37 m
+0.08 1.10 l
+o
+np
+241.68 461.47 m
+-0.25 0.75 l
+o
+np
+241.43 462.22 m
+-0.58 0.38 l
+o
+np
+240.85 462.60 m
+-0.42 0.11 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 444.83 m
+-11.72 3.81 l
+o
+np
+130.90 448.64 m
+-5.58 4.99 l
+o
+np
+125.32 453.63 m
+2.67 4.99 l
+o
+np
+127.99 458.62 m
+11.21 4.99 l
+o
+np
+139.20 463.61 m
+3.42 1.37 l
+o
+np
+142.62 464.98 m
+29.26 1.82 l
+o
+np
+171.88 466.80 m
+23.70 -3.19 l
+o
+np
+195.58 463.61 m
+5.56 -0.47 l
+o
+np
+201.14 463.14 m
+29.25 -3.43 l
+o
+np
+230.39 459.71 m
+4.05 -1.09 l
+o
+np
+234.44 458.62 m
+9.63 -4.99 l
+o
+np
+244.07 453.63 m
+-3.12 -4.99 l
+o
+np
+240.95 448.64 m
+-10.56 -2.00 l
+o
+np
+207.04 443.64 m
+-5.90 -0.33 l
+o
+np
+201.14 443.31 m
+-29.26 -0.20 l
+o
+np
+171.88 443.11 m
+-14.22 0.53 l
+o
+np
+157.66 443.64 m
+-15.04 1.19 l
+o
+np
+230.39 446.64 m
+-7.83 -1.01 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+213.00 446.71 m
+-1.77 -3.30 l
+o
+np
+211.23 443.41 m
+3.24 0.42 l
+o
+np
+213.00 446.71 m
+0.58 -4.53 l
+o
+np
+217.74 447.32 m
+-2.15 -0.28 l
+o
+np
+215.59 447.04 m
+0.03 -1.97 l
+o
+np
+215.62 445.07 m
+0.19 0.25 l
+o
+np
+215.81 445.32 m
+0.62 0.29 l
+o
+np
+216.43 445.61 m
+0.64 0.09 l
+o
+np
+217.07 445.70 m
+0.68 -0.14 l
+o
+np
+217.75 445.56 m
+0.49 -0.37 l
+o
+np
+218.24 445.19 m
+0.29 -0.62 l
+o
+np
+218.53 444.57 m
+0.06 -0.43 l
+o
+np
+218.59 444.14 m
+-0.13 -0.68 l
+o
+np
+218.46 443.46 m
+-0.38 -0.48 l
+o
+np
+218.08 442.98 m
+-0.62 -0.30 l
+o
+np
+217.46 442.68 m
+-0.65 -0.08 l
+o
+np
+216.81 442.60 m
+-0.67 0.13 l
+o
+np
+216.14 442.73 m
+-0.24 0.19 l
+o
+np
+215.90 442.92 m
+-0.27 0.40 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 447.23 m
+-4.31 1.41 l
+o
+np
+138.31 448.64 m
+-5.94 4.99 l
+o
+np
+132.37 453.63 m
+2.92 4.99 l
+o
+np
+135.29 458.62 m
+7.33 3.12 l
+o
+np
+142.62 461.74 m
+29.26 1.62 l
+o
+np
+171.88 463.36 m
+29.26 -2.44 l
+o
+np
+201.14 460.92 m
+17.72 -2.30 l
+o
+np
+218.86 458.62 m
+11.53 -3.81 l
+o
+np
+230.39 454.81 m
+2.36 -1.18 l
+o
+np
+232.75 453.63 m
+-2.36 -2.33 l
+o
+np
+230.39 451.30 m
+-3.26 -2.66 l
+o
+np
+227.13 448.64 m
+-25.99 -3.63 l
+o
+np
+171.88 444.63 m
+-29.26 2.60 l
+o
+np
+201.14 445.01 m
+-13.61 -0.18 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+178.59 447.00 m
+-2.18 -0.03 l
+o
+np
+176.41 446.97 m
+-0.19 -1.95 l
+o
+np
+176.22 445.02 m
+0.22 0.22 l
+o
+np
+176.44 445.24 m
+0.64 0.22 l
+o
+np
+177.08 445.46 m
+0.66 0.01 l
+o
+np
+177.74 445.47 m
+0.65 -0.21 l
+o
+np
+178.39 445.26 m
+0.44 -0.43 l
+o
+np
+178.83 444.83 m
+0.23 -0.65 l
+o
+np
+179.06 444.18 m
+0 -0.43 l
+o
+np
+179.06 443.75 m
+-0.21 -0.66 l
+o
+np
+178.85 443.09 m
+-0.43 -0.44 l
+o
+np
+178.42 442.65 m
+-0.64 -0.22 l
+o
+np
+177.78 442.43 m
+-0.66 -0.01 l
+o
+np
+177.12 442.42 m
+-0.65 0.21 l
+o
+np
+176.47 442.63 m
+-0.22 0.21 l
+o
+np
+176.25 442.84 m
+-0.22 0.43 l
+o
+np
+181.63 447.04 m
+-0.65 -0.22 l
+o
+np
+180.98 446.82 m
+-0.43 -0.66 l
+o
+np
+180.55 446.16 m
+-0.20 -1.09 l
+o
+np
+180.35 445.07 m
+0.01 -0.65 l
+o
+np
+180.36 444.42 m
+0.23 -1.09 l
+o
+np
+180.59 443.33 m
+0.44 -0.64 l
+o
+np
+181.03 442.69 m
+0.66 -0.21 l
+o
+np
+181.69 442.48 m
+0.43 0 l
+o
+np
+182.12 442.48 m
+0.65 0.23 l
+o
+np
+182.77 442.71 m
+0.43 0.66 l
+o
+np
+183.20 443.37 m
+0.20 1.08 l
+o
+np
+183.40 444.45 m
+-0.01 0.66 l
+o
+np
+183.39 445.11 m
+-0.23 1.08 l
+o
+np
+183.16 446.19 m
+-0.44 0.65 l
+o
+np
+182.72 446.84 m
+-0.66 0.21 l
+o
+np
+182.06 447.05 m
+-0.43 -0.01 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 451.03 m
+-3.20 2.60 l
+o
+np
+139.42 453.63 m
+3.17 4.99 l
+o
+np
+142.59 458.62 m
+0.03 0.01 l
+o
+np
+142.62 458.63 m
+29.26 2.07 l
+o
+np
+171.88 460.70 m
+29.26 -2.00 l
+o
+np
+201.14 458.70 m
+0.59 -0.08 l
+o
+np
+201.73 458.62 m
+18.18 -4.99 l
+o
+np
+219.91 453.63 m
+-6.48 -4.99 l
+o
+np
+213.43 448.64 m
+-12.29 -1.72 l
+o
+np
+201.14 446.92 m
+-29.26 -0.44 l
+o
+np
+171.88 446.48 m
+-21.54 2.16 l
+o
+np
+150.34 448.64 m
+-7.72 2.39 l
+o
+np
+171.88 448.33 m
+-3.05 0.31 l
+o
+np
+168.83 448.64 m
+-13.45 4.99 l
+o
+np
+155.38 453.63 m
+16.50 3.81 l
+o
+np
+171.88 457.44 m
+29.26 -2.30 l
+o
+np
+201.14 455.14 m
+5.53 -1.51 l
+o
+np
+206.67 453.63 m
+-5.53 -4.01 l
+o
+np
+201.14 449.62 m
+-11.24 -0.98 l
+o
+np
+189.90 448.64 m
+-18.02 -0.31 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+58.77 428.87 m
+722.28 0 l
+o
+np
+58.77 428.87 m
+0 -2.38 l
+o
+np
+161.95 428.87 m
+0 -2.38 l
+o
+np
+265.13 428.87 m
+0 -2.38 l
+o
+np
+368.32 428.87 m
+0 -2.38 l
+o
+np
+471.50 428.87 m
+0 -2.38 l
+o
+np
+574.68 428.87 m
+0 -2.38 l
+o
+np
+677.87 428.87 m
+0 -2.38 l
+o
+np
+781.05 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+58.77 415.56 (0.00) .5 0 0 t
+161.95 415.56 (0.05) .5 0 0 t
+265.13 415.56 (0.10) .5 0 0 t
+368.32 415.56 (0.15) .5 0 0 t
+471.50 415.56 (0.20) .5 0 0 t
+574.68 415.56 (0.25) .5 0 0 t
+677.87 415.56 (0.30) .5 0 0 t
+781.05 415.56 (0.35) .5 0 0 t
+np
+56.02 447.98 m
+0 93.67 l
+o
+np
+56.02 447.98 m
+-2.38 0 l
+o
+np
+56.02 471.40 m
+-2.38 0 l
+o
+np
+56.02 494.82 m
+-2.38 0 l
+o
+np
+56.02 518.23 m
+-2.38 0 l
+o
+np
+56.02 541.65 m
+-2.38 0 l
+o
+48.41 447.98 (0.1) .5 0 90 t
+48.41 471.40 (0.2) .5 0 90 t
+48.41 494.82 (0.3) .5 0 90 t
+48.41 518.23 (0.4) .5 0 90 t
+48.41 541.65 (0.5) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+18.00 204.43 823.89 390.85 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+56.02 247.23 606.70 26.05 r p3
+56.02 278.49 134.46 26.05 r p3
+56.02 309.75 52.65 26.05 r p3
+56.02 341.00 16.20 26.05 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+48.41 260.26 (\(0,0\)) .5 0 90 t
+48.41 291.51 (\(0,1\)) .5 0 90 t
+48.41 322.77 (\(1,0\)) .5 0 90 t
+48.41 354.03 (\(1,1\)) .5 0 90 t
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: \(Y1,Y2\)|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 215.83 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 242.44 m
+648.00 0 l
+o
+np
+56.02 242.44 m
+0 -2.37 l
+o
+np
+218.02 242.44 m
+0 -2.37 l
+o
+np
+380.02 242.44 m
+0 -2.37 l
+o
+np
+542.02 242.44 m
+0 -2.37 l
+o
+np
+704.02 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+56.02 229.14 (0) .5 0 0 t
+218.02 229.14 (20) .5 0 0 t
+380.02 229.14 (40) .5 0 0 t
+542.02 229.14 (60) .5 0 0 t
+704.02 229.14 (80) .5 0 0 t
+56.02 56.02 814.39 185.42 cl
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences: Pr\(Y1=k,Y2=l|X1\) - Pr\(Y1=k,Y2=l|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 29.40 (Pr\(Y1 = 1\)) .5 0 0 t
+35.11 120.72 (Pr\(Y2 = 1\)) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+773.29 125.71 m
+-16.25 -2.77 l
+o
+np
+757.04 122.94 m
+-29.26 -1.15 l
+o
+np
+727.78 121.79 m
+-18.10 3.92 l
+o
+np
+709.68 125.71 m
+-11.16 1.66 l
+o
+np
+698.52 127.37 m
+-11.57 3.33 l
+o
+np
+686.95 130.70 m
+1.38 4.99 l
+o
+np
+688.33 135.69 m
+-16.97 5.00 l
+o
+np
+671.36 140.69 m
+-2.09 0.41 l
+o
+np
+669.27 141.10 m
+-20.12 4.58 l
+o
+np
+649.15 145.68 m
+-9.14 4.26 l
+o
+np
+640.01 149.94 m
+-6.62 0.73 l
+o
+np
+633.39 150.67 m
+-22.64 2.40 l
+o
+np
+610.75 153.07 m
+-10.13 2.59 l
+o
+np
+600.62 155.66 m
+-4.85 5.00 l
+o
+np
+595.77 160.66 m
+14.98 4.50 l
+o
+np
+610.75 165.16 m
+0.72 0.49 l
+o
+np
+611.47 165.65 m
+9.81 4.99 l
+o
+np
+621.28 170.64 m
+18.73 3.58 l
+o
+np
+640.01 174.22 m
+6.47 1.41 l
+o
+np
+646.48 175.63 m
+22.79 3.12 l
+o
+np
+669.27 178.75 m
+29.25 0.78 l
+o
+np
+698.52 179.53 m
+17.21 1.09 l
+o
+np
+775.53 126.42 m
+-2.24 -0.71 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+781.25 130.65 m
+-2.07 -0.67 l
+o
+np
+779.18 129.98 m
+0.39 -1.92 l
+o
+np
+779.57 128.06 m
+0.14 0.27 l
+o
+np
+779.71 128.33 m
+0.56 0.40 l
+o
+np
+780.27 128.73 m
+0.62 0.20 l
+o
+np
+780.89 128.93 m
+0.69 -0.01 l
+o
+np
+781.58 128.92 m
+0.54 -0.28 l
+o
+np
+782.12 128.64 m
+0.41 -0.55 l
+o
+np
+782.53 128.09 m
+0.13 -0.42 l
+o
+np
+782.66 127.67 m
+-0.01 -0.68 l
+o
+np
+782.65 126.99 m
+-0.28 -0.55 l
+o
+np
+782.37 126.44 m
+-0.55 -0.41 l
+o
+np
+781.82 126.03 m
+-0.63 -0.20 l
+o
+np
+781.19 125.83 m
+-0.68 0.01 l
+o
+np
+780.51 125.84 m
+-0.28 0.14 l
+o
+np
+780.23 125.98 m
+-0.34 0.35 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+786.30 138.99 m
+-0.31 1.70 l
+o
+np
+785.99 140.69 m
+0.31 0.49 l
+o
+np
+786.30 175.98 m
+-20.05 4.64 l
+o
+np
+786.30 153.19 m
+-1.58 -2.52 l
+o
+np
+784.72 150.67 m
+-3.56 -4.99 l
+o
+np
+781.16 145.68 m
+-4.09 -4.99 l
+o
+np
+777.07 140.69 m
+-1.77 -5.00 l
+o
+np
+775.30 135.69 m
+-8.46 -4.99 l
+o
+np
+766.84 130.70 m
+-9.80 -2.15 l
+o
+np
+727.78 129.34 m
+-8.37 1.36 l
+o
+np
+719.41 130.70 m
+-7.83 4.99 l
+o
+np
+711.58 135.69 m
+-8.31 5.00 l
+o
+np
+703.27 140.69 m
+-4.75 1.18 l
+o
+np
+698.52 141.87 m
+-20.12 3.81 l
+o
+np
+678.40 145.68 m
+-9.13 3.22 l
+o
+np
+669.27 148.90 m
+-5.13 1.77 l
+o
+np
+664.14 150.67 m
+-13.98 4.99 l
+o
+np
+650.16 155.66 m
+-10.15 3.99 l
+o
+np
+640.01 159.65 m
+-2.73 1.01 l
+o
+np
+637.28 160.66 m
+2.73 3.65 l
+o
+np
+640.01 164.31 m
+0.88 1.34 l
+o
+np
+640.89 165.65 m
+13.24 4.99 l
+o
+np
+654.13 170.64 m
+15.14 3.13 l
+o
+np
+669.27 173.77 m
+13.08 1.86 l
+o
+np
+682.35 175.63 m
+16.17 1.13 l
+o
+np
+698.52 176.76 m
+29.26 2.56 l
+o
+np
+727.78 179.32 m
+29.26 0.28 l
+o
+np
+757.04 179.60 m
+21.43 -3.97 l
+o
+np
+778.47 175.63 m
+7.30 -4.99 l
+o
+np
+785.77 170.64 m
+0.53 -1.10 l
+o
+np
+741.40 128.97 m
+-13.62 0.37 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+746.21 130.25 m
+0.44 0.21 l
+o
+np
+746.65 130.46 m
+0.67 0.63 l
+o
+np
+747.32 131.09 m
+-0.12 -4.56 l
+o
+np
+751.24 130.99 m
+-0.66 -0.20 l
+o
+np
+750.58 130.79 m
+-0.45 -0.64 l
+o
+np
+750.13 130.15 m
+-0.25 -1.08 l
+o
+np
+749.88 129.07 m
+-0.02 -0.66 l
+o
+np
+749.86 128.41 m
+0.19 -1.09 l
+o
+np
+750.05 127.32 m
+0.42 -0.66 l
+o
+np
+750.47 126.66 m
+0.64 -0.24 l
+o
+np
+751.11 126.42 m
+0.44 -0.01 l
+o
+np
+751.55 126.41 m
+0.65 0.20 l
+o
+np
+752.20 126.61 m
+0.46 0.64 l
+o
+np
+752.66 127.25 m
+0.24 1.08 l
+o
+np
+752.90 128.33 m
+0.02 0.65 l
+o
+np
+752.92 128.98 m
+-0.19 1.10 l
+o
+np
+752.73 130.08 m
+-0.41 0.66 l
+o
+np
+752.32 130.74 m
+-0.65 0.23 l
+o
+np
+751.67 130.97 m
+-0.43 0.02 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+698.52 146.91 m
+-12.42 3.76 l
+o
+np
+686.10 150.67 m
+-9.45 4.99 l
+o
+np
+676.65 155.66 m
+-6.55 5.00 l
+o
+np
+670.10 160.66 m
+0.10 4.99 l
+o
+np
+670.20 165.65 m
+5.69 4.99 l
+o
+np
+698.52 174.23 m
+10.57 1.40 l
+o
+np
+709.09 175.63 m
+18.69 1.89 l
+o
+np
+727.78 177.52 m
+29.26 0.55 l
+o
+np
+757.04 178.07 m
+13.16 -2.44 l
+o
+np
+770.20 175.63 m
+10.48 -4.99 l
+o
+np
+780.68 170.64 m
+2.76 -4.99 l
+o
+np
+783.44 165.65 m
+0.31 -4.99 l
+o
+np
+783.75 160.66 m
+-1.32 -5.00 l
+o
+np
+782.43 155.66 m
+-3.89 -4.99 l
+o
+np
+778.54 150.67 m
+-4.84 -4.99 l
+o
+np
+773.70 145.68 m
+-5.56 -4.99 l
+o
+np
+768.14 140.69 m
+-4.62 -5.00 l
+o
+np
+763.52 135.69 m
+-6.48 -2.55 l
+o
+np
+757.04 133.14 m
+-27.91 2.55 l
+o
+np
+729.13 135.69 m
+-1.35 0.42 l
+o
+np
+727.78 136.11 m
+-5.60 4.58 l
+o
+np
+722.18 140.69 m
+-19.00 4.99 l
+o
+np
+703.18 145.68 m
+-4.66 1.23 l
+o
+np
+675.89 170.64 m
+7.18 1.14 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+687.57 173.92 m
+0.39 0.29 l
+o
+np
+687.96 174.21 m
+0.55 0.74 l
+o
+np
+688.51 174.95 m
+0.71 -4.50 l
+o
+np
+693.66 175.77 m
+-2.15 -0.34 l
+o
+np
+691.51 175.43 m
+0.09 -1.97 l
+o
+np
+691.60 173.46 m
+0.18 0.25 l
+o
+np
+691.78 173.71 m
+0.61 0.32 l
+o
+np
+692.39 174.03 m
+0.65 0.10 l
+o
+np
+693.04 174.13 m
+0.68 -0.11 l
+o
+np
+693.72 174.02 m
+0.49 -0.36 l
+o
+np
+694.21 173.66 m
+0.32 -0.61 l
+o
+np
+694.53 173.05 m
+0.07 -0.43 l
+o
+np
+694.60 172.62 m
+-0.11 -0.68 l
+o
+np
+694.49 171.94 m
+-0.37 -0.50 l
+o
+np
+694.12 171.44 m
+-0.61 -0.31 l
+o
+np
+693.51 171.13 m
+-0.64 -0.11 l
+o
+np
+692.87 171.02 m
+-0.68 0.12 l
+o
+np
+692.19 171.14 m
+-0.25 0.18 l
+o
+np
+691.94 171.32 m
+-0.28 0.39 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+698.52 154.01 m
+-3.70 1.65 l
+o
+np
+694.82 155.66 m
+-8.58 5.00 l
+o
+np
+686.24 160.66 m
+-1.98 4.99 l
+o
+np
+684.26 165.65 m
+6.56 4.99 l
+o
+np
+690.82 170.64 m
+7.70 1.22 l
+o
+np
+698.52 171.86 m
+28.45 3.77 l
+o
+np
+726.97 175.63 m
+0.81 0.08 l
+o
+np
+757.04 176.54 m
+4.89 -0.91 l
+o
+np
+761.93 175.63 m
+13.66 -4.99 l
+o
+np
+775.59 170.64 m
+3.36 -4.99 l
+o
+np
+778.95 165.65 m
+0.34 -4.99 l
+o
+np
+779.29 160.66 m
+-2.01 -5.00 l
+o
+np
+777.28 155.66 m
+-4.93 -4.99 l
+o
+np
+772.35 150.67 m
+-6.10 -4.99 l
+o
+np
+766.25 145.68 m
+-7.03 -4.99 l
+o
+np
+759.22 140.69 m
+-2.18 -1.76 l
+o
+np
+757.04 138.93 m
+-7.54 1.76 l
+o
+np
+749.50 140.69 m
+-21.72 4.86 l
+o
+np
+727.78 145.55 m
+-0.45 0.13 l
+o
+np
+727.33 145.68 m
+-21.45 4.99 l
+o
+np
+705.88 150.67 m
+-7.36 3.34 l
+o
+np
+727.78 175.71 m
+13.62 0.39 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+745.71 177.41 m
+-0.01 0.22 l
+o
+np
+745.70 177.63 m
+0.21 0.44 l
+o
+np
+745.91 178.07 m
+0.21 0.23 l
+o
+np
+746.12 178.30 m
+0.43 0.23 l
+o
+np
+746.55 178.53 m
+0.87 0.02 l
+o
+np
+747.42 178.55 m
+0.44 -0.21 l
+o
+np
+747.86 178.34 m
+0.22 -0.21 l
+o
+np
+748.08 178.13 m
+0.23 -0.42 l
+o
+np
+748.31 177.71 m
+0.01 -0.44 l
+o
+np
+748.32 177.27 m
+-0.20 -0.44 l
+o
+np
+748.12 176.83 m
+-0.42 -0.66 l
+o
+np
+747.70 176.17 m
+-2.11 -2.24 l
+o
+np
+745.59 173.93 m
+3.04 0.09 l
+o
+np
+751.11 178.65 m
+-0.65 -0.23 l
+o
+np
+750.46 178.42 m
+-0.41 -0.67 l
+o
+np
+750.05 177.75 m
+-0.19 -1.09 l
+o
+np
+749.86 176.66 m
+0.02 -0.65 l
+o
+np
+749.88 176.01 m
+0.25 -1.08 l
+o
+np
+750.13 174.93 m
+0.45 -0.64 l
+o
+np
+750.58 174.29 m
+0.66 -0.20 l
+o
+np
+751.24 174.09 m
+0.43 0.01 l
+o
+np
+751.67 174.10 m
+0.65 0.24 l
+o
+np
+752.32 174.34 m
+0.41 0.66 l
+o
+np
+752.73 175.00 m
+0.19 1.10 l
+o
+np
+752.92 176.10 m
+-0.02 0.65 l
+o
+np
+752.90 176.75 m
+-0.25 1.08 l
+o
+np
+752.65 177.83 m
+-0.45 0.64 l
+o
+np
+752.20 178.47 m
+-0.66 0.20 l
+o
+np
+751.54 178.67 m
+-0.43 -0.02 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+698.52 165.37 m
+-0.20 0.28 l
+o
+np
+698.32 165.65 m
+0.20 0.14 l
+o
+np
+698.52 165.79 m
+4.86 4.85 l
+o
+np
+703.38 170.64 m
+24.40 3.59 l
+o
+np
+727.78 174.23 m
+29.26 0.73 l
+o
+np
+757.04 174.96 m
+13.45 -4.32 l
+o
+np
+770.49 170.64 m
+3.97 -4.99 l
+o
+np
+774.46 165.65 m
+0.38 -4.99 l
+o
+np
+774.84 160.66 m
+-2.72 -5.00 l
+o
+np
+772.12 155.66 m
+-5.95 -4.99 l
+o
+np
+766.17 150.67 m
+-7.38 -4.99 l
+o
+np
+758.79 145.68 m
+-1.75 -1.19 l
+o
+np
+757.04 144.49 m
+-5.65 1.19 l
+o
+np
+727.78 149.74 m
+-4.02 0.93 l
+o
+np
+723.76 150.67 m
+-14.52 4.99 l
+o
+np
+709.24 155.66 m
+-8.64 5.00 l
+o
+np
+700.60 160.66 m
+-2.08 4.71 l
+o
+np
+735.96 148.33 m
+-8.18 1.41 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+740.45 148.77 m
+0.04 0.22 l
+o
+np
+740.49 148.99 m
+0.28 0.39 l
+o
+np
+740.77 149.38 m
+0.26 0.18 l
+o
+np
+741.03 149.56 m
+0.46 0.14 l
+o
+np
+741.49 149.70 m
+0.86 -0.15 l
+o
+np
+742.35 149.55 m
+0.39 -0.29 l
+o
+np
+742.74 149.26 m
+0.18 -0.25 l
+o
+np
+742.92 149.01 m
+0.14 -0.47 l
+o
+np
+743.06 148.54 m
+-0.08 -0.42 l
+o
+np
+742.98 148.12 m
+-0.28 -0.40 l
+o
+np
+742.70 147.72 m
+-0.54 -0.56 l
+o
+np
+742.16 147.16 m
+-2.51 -1.78 l
+o
+np
+739.65 145.38 m
+2.99 -0.51 l
+o
+np
+747.27 148.70 m
+-2.14 0.37 l
+o
+np
+745.13 149.07 m
+-0.54 -1.89 l
+o
+np
+744.59 147.18 m
+0.25 0.18 l
+o
+np
+744.84 147.36 m
+0.68 0.10 l
+o
+np
+745.52 147.46 m
+0.64 -0.11 l
+o
+np
+746.16 147.35 m
+0.61 -0.33 l
+o
+np
+746.77 147.02 m
+0.35 -0.50 l
+o
+np
+747.12 146.52 m
+0.10 -0.68 l
+o
+np
+747.22 145.84 m
+-0.07 -0.43 l
+o
+np
+747.15 145.41 m
+-0.32 -0.60 l
+o
+np
+746.83 144.81 m
+-0.51 -0.36 l
+o
+np
+746.32 144.45 m
+-0.68 -0.10 l
+o
+np
+745.64 144.35 m
+-0.64 0.11 l
+o
+np
+745.00 144.46 m
+-0.60 0.32 l
+o
+np
+744.40 144.78 m
+-0.18 0.26 l
+o
+np
+744.22 145.04 m
+-0.14 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+709.31 160.66 m
+-3.29 4.99 l
+o
+np
+706.02 165.65 m
+7.39 4.99 l
+o
+np
+713.41 170.64 m
+14.37 2.11 l
+o
+np
+727.78 172.75 m
+29.26 0.58 l
+o
+np
+757.04 173.33 m
+8.36 -2.69 l
+o
+np
+765.40 170.64 m
+4.57 -4.99 l
+o
+np
+769.97 165.65 m
+0.41 -4.99 l
+o
+np
+770.38 160.66 m
+-3.41 -5.00 l
+o
+np
+766.97 155.66 m
+-6.99 -4.99 l
+o
+np
+759.98 150.67 m
+-2.94 -1.91 l
+o
+np
+757.04 148.76 m
+-11.13 1.91 l
+o
+np
+745.91 150.67 m
+-18.13 3.36 l
+o
+np
+713.05 159.31 m
+-3.74 1.35 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+718.12 159.92 m
+2.25 -0.81 l
+o
+np
+720.37 159.11 m
+-1.82 -1.20 l
+o
+np
+718.55 157.91 m
+0.62 -0.22 l
+o
+np
+719.17 157.69 m
+0.33 -0.35 l
+o
+np
+719.50 157.34 m
+0.13 -0.28 l
+o
+np
+719.63 157.06 m
+-0.01 -0.68 l
+o
+np
+719.62 156.38 m
+-0.15 -0.41 l
+o
+np
+719.47 155.97 m
+-0.42 -0.54 l
+o
+np
+719.05 155.43 m
+-0.56 -0.26 l
+o
+np
+718.49 155.17 m
+-0.69 0.01 l
+o
+np
+717.80 155.18 m
+-0.61 0.22 l
+o
+np
+717.19 155.40 m
+-0.54 0.43 l
+o
+np
+716.65 155.83 m
+-0.13 0.27 l
+o
+np
+716.52 156.10 m
+-0.06 0.49 l
+o
+np
+723.03 158.16 m
+-0.69 0.01 l
+o
+np
+722.34 158.17 m
+-0.63 -0.46 l
+o
+np
+721.71 157.71 m
+-0.57 -0.95 l
+o
+np
+721.14 156.76 m
+-0.22 -0.62 l
+o
+np
+720.92 156.14 m
+-0.16 -1.09 l
+o
+np
+720.76 155.05 m
+0.19 -0.77 l
+o
+np
+720.95 154.28 m
+0.54 -0.42 l
+o
+np
+721.49 153.86 m
+0.41 -0.15 l
+o
+np
+721.90 153.71 m
+0.68 -0.01 l
+o
+np
+722.58 153.70 m
+0.63 0.46 l
+o
+np
+723.21 154.16 m
+0.57 0.95 l
+o
+np
+723.78 155.11 m
+0.22 0.62 l
+o
+np
+724.00 155.73 m
+0.17 1.09 l
+o
+np
+724.17 156.82 m
+-0.19 0.76 l
+o
+np
+723.98 157.58 m
+-0.54 0.43 l
+o
+np
+723.44 158.01 m
+-0.41 0.15 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+727.78 157.44 m
+-9.77 3.22 l
+o
+np
+718.01 160.66 m
+-4.39 4.99 l
+o
+np
+713.62 165.65 m
+9.81 4.99 l
+o
+np
+723.43 170.64 m
+4.35 0.64 l
+o
+np
+727.78 171.28 m
+29.26 0.41 l
+o
+np
+757.04 171.69 m
+3.27 -1.05 l
+o
+np
+760.31 170.64 m
+5.18 -4.99 l
+o
+np
+765.49 165.65 m
+0.44 -4.99 l
+o
+np
+765.93 160.66 m
+-4.11 -5.00 l
+o
+np
+761.82 155.66 m
+-4.78 -3.19 l
+o
+np
+757.04 152.47 m
+-17.50 3.19 l
+o
+np
+739.54 155.66 m
+-11.76 1.78 l
+o
+np
+727.78 160.30 m
+-1.07 0.36 l
+o
+np
+726.71 160.66 m
+-5.49 4.99 l
+o
+np
+721.22 165.65 m
+6.56 3.01 l
+o
+np
+727.78 168.66 m
+29.26 0.54 l
+o
+np
+757.04 169.20 m
+3.96 -3.55 l
+o
+np
+761.00 165.65 m
+0.48 -4.99 l
+o
+np
+761.48 160.66 m
+-4.44 -4.65 l
+o
+np
+757.04 156.01 m
+-29.26 4.29 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+127.66 56.02 m
+669.07 0 l
+o
+np
+127.66 56.02 m
+0 -2.38 l
+o
+np
+294.93 56.02 m
+0 -2.38 l
+o
+np
+462.20 56.02 m
+0 -2.38 l
+o
+np
+629.46 56.02 m
+0 -2.38 l
+o
+np
+796.73 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+127.66 42.71 (0.2) .5 0 0 t
+294.93 42.71 (0.4) .5 0 0 t
+462.20 42.71 (0.6) .5 0 0 t
+629.46 42.71 (0.8) .5 0 0 t
+796.73 42.71 (1.0) .5 0 0 t
+np
+56.02 67.01 m
+0 101.24 l
+o
+np
+56.02 67.01 m
+-2.38 0 l
+o
+np
+56.02 87.26 m
+-2.38 0 l
+o
+np
+56.02 107.51 m
+-2.38 0 l
+o
+np
+56.02 127.75 m
+-2.38 0 l
+o
+np
+56.02 148.00 m
+-2.38 0 l
+o
+np
+56.02 168.25 m
+-2.38 0 l
+o
+48.41 67.01 (0.4) .5 0 90 t
+48.41 87.26 (0.5) .5 0 90 t
+48.41 107.51 (0.6) .5 0 90 t
+48.41 127.75 (0.7) .5 0 90 t
+48.41 148.00 (0.8) .5 0 90 t
+48.41 168.25 (0.9) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 5 5
+bp
+75.60 355.24 809.49 548.48 cl
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 314.92 (Pr\(Y1 = 1\)) .5 0 0 t
+43.92 451.86 (Pr\(Y2 = 1\)) .5 0 90 t
+75.60 355.24 809.49 548.48 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+187.72 479.11 m
+-0.80 2.57 l
+o
+np
+186.92 481.68 m
+0.80 0.62 l
+o
+np
+196.87 489.13 m
+15.58 7.46 l
+o
+np
+212.45 496.59 m
+3.59 2.37 l
+o
+np
+216.04 498.96 m
+11.84 5.08 l
+o
+np
+227.88 504.04 m
+16.47 3.07 l
+o
+np
+244.35 507.11 m
+28.31 1.15 l
+o
+np
+272.66 508.26 m
+19.58 3.24 l
+o
+np
+292.24 511.50 m
+8.74 2.08 l
+o
+np
+300.98 513.58 m
+28.31 4.54 l
+o
+np
+329.29 518.12 m
+28.31 -1.00 l
+o
+np
+357.60 517.12 m
+28.32 -1.82 l
+o
+np
+385.92 515.30 m
+28.31 -0.29 l
+o
+np
+414.23 515.01 m
+28.31 -0.51 l
+o
+np
+442.54 514.50 m
+28.32 -2.82 l
+o
+np
+470.86 511.68 m
+1.21 -0.18 l
+o
+np
+472.07 511.50 m
+27.10 -3.81 l
+o
+np
+499.17 507.69 m
+28.32 -2.63 l
+o
+np
+527.49 505.06 m
+5.92 -1.02 l
+o
+np
+533.41 504.04 m
+22.39 -6.01 l
+o
+np
+555.80 498.03 m
+4.07 -1.44 l
+o
+np
+559.87 496.59 m
+14.25 -7.46 l
+o
+np
+574.12 489.13 m
+9.99 -5.12 l
+o
+np
+584.11 484.01 m
+6.93 -2.33 l
+o
+np
+591.04 481.68 m
+21.39 -5.88 l
+o
+np
+612.43 475.80 m
+5.39 -1.58 l
+o
+np
+617.82 474.22 m
+12.70 -7.45 l
+o
+np
+630.52 466.77 m
+-7.10 -7.46 l
+o
+np
+623.42 459.31 m
+-10.99 -3.43 l
+o
+np
+612.43 455.88 m
+-12.01 -4.02 l
+o
+np
+600.42 451.86 m
+-11.66 -7.46 l
+o
+np
+588.76 444.40 m
+7.35 -7.45 l
+o
+np
+596.11 436.95 m
+-1.88 -7.46 l
+o
+np
+594.23 429.49 m
+-10.12 -4.20 l
+o
+np
+584.11 425.29 m
+-6.14 -3.25 l
+o
+np
+577.97 422.04 m
+-11.34 -7.46 l
+o
+np
+566.63 414.58 m
+-10.83 -4.78 l
+o
+np
+555.80 409.80 m
+-8.79 -2.67 l
+o
+np
+547.01 407.13 m
+-19.52 -3.87 l
+o
+np
+527.49 403.26 m
+-28.32 -2.84 l
+o
+np
+499.17 400.42 m
+-28.31 0.06 l
+o
+np
+470.86 400.48 m
+-28.32 1.82 l
+o
+np
+442.54 402.30 m
+-28.31 -0.57 l
+o
+np
+414.23 401.73 m
+-28.31 0.95 l
+o
+np
+385.92 402.68 m
+-23.78 4.45 l
+o
+np
+362.14 407.13 m
+-4.54 0.69 l
+o
+np
+357.60 407.82 m
+-28.31 1.74 l
+o
+np
+329.29 409.56 m
+-28.31 2.02 l
+o
+np
+300.98 411.58 m
+-20.43 3.00 l
+o
+np
+280.55 414.58 m
+-7.89 1.23 l
+o
+np
+272.66 415.81 m
+-23.94 6.23 l
+o
+np
+248.72 422.04 m
+-4.37 2.04 l
+o
+np
+244.35 424.08 m
+-13.08 5.41 l
+o
+np
+231.27 429.49 m
+-6.08 7.46 l
+o
+np
+225.19 436.95 m
+3.92 7.45 l
+o
+np
+229.11 444.40 m
+-2.13 7.46 l
+o
+np
+226.98 451.86 m
+-10.94 4.87 l
+o
+np
+216.04 456.73 m
+-6.11 2.58 l
+o
+np
+209.93 459.31 m
+-15.44 7.46 l
+o
+np
+194.49 466.77 m
+-5.70 7.45 l
+o
+np
+188.79 474.22 m
+-1.07 4.89 l
+o
+np
+196.78 489.07 m
+0.09 0.06 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+191.75 488.16 m
+-1.74 -1.30 l
+o
+np
+190.01 486.86 m
+1.00 -1.69 l
+o
+np
+191.01 485.17 m
+0.04 0.30 l
+o
+np
+191.05 485.47 m
+0.40 0.56 l
+o
+np
+191.45 486.03 m
+0.52 0.39 l
+o
+np
+191.97 486.42 m
+0.65 0.22 l
+o
+np
+192.62 486.64 m
+0.61 -0.09 l
+o
+np
+193.23 486.55 m
+0.56 -0.39 l
+o
+np
+193.79 486.16 m
+0.26 -0.35 l
+o
+np
+194.05 485.81 m
+0.22 -0.65 l
+o
+np
+194.27 485.16 m
+-0.09 -0.61 l
+o
+np
+194.18 484.55 m
+-0.39 -0.56 l
+o
+np
+193.79 483.99 m
+-0.52 -0.39 l
+o
+np
+193.27 483.60 m
+-0.66 -0.22 l
+o
+np
+192.61 483.38 m
+-0.30 0.04 l
+o
+np
+192.31 483.42 m
+-0.43 0.22 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+244.35 462.38 m
+-11.47 4.39 l
+o
+np
+232.88 466.77 m
+-6.14 7.45 l
+o
+np
+226.74 474.22 m
+7.66 7.46 l
+o
+np
+234.40 481.68 m
+9.95 4.19 l
+o
+np
+244.35 485.87 m
+5.23 3.26 l
+o
+np
+268.10 496.59 m
+4.56 0.81 l
+o
+np
+272.66 497.40 m
+28.32 4.22 l
+o
+np
+300.98 501.62 m
+20.72 2.42 l
+o
+np
+321.70 504.04 m
+7.59 1.30 l
+o
+np
+329.29 505.34 m
+28.31 1.15 l
+o
+np
+357.60 506.49 m
+28.32 0.47 l
+o
+np
+385.92 506.96 m
+28.31 0.10 l
+o
+np
+414.23 507.06 m
+28.31 -1.83 l
+o
+np
+442.54 505.23 m
+8.67 -1.19 l
+o
+np
+451.21 504.04 m
+19.65 -3.30 l
+o
+np
+470.86 500.74 m
+28.31 -4.11 l
+o
+np
+499.17 496.63 m
+0.39 -0.04 l
+o
+np
+499.56 496.59 m
+27.93 -3.79 l
+o
+np
+527.49 492.80 m
+9.72 -3.67 l
+o
+np
+537.21 489.13 m
+17.10 -7.45 l
+o
+np
+554.31 481.68 m
+1.49 -0.61 l
+o
+np
+555.80 481.07 m
+20.14 -6.85 l
+o
+np
+575.94 474.22 m
+8.17 -5.19 l
+o
+np
+584.11 469.03 m
+4.45 -2.26 l
+o
+np
+588.56 466.77 m
+-4.45 -3.39 l
+o
+np
+584.11 463.38 m
+-4.15 -4.07 l
+o
+np
+579.96 459.31 m
+-21.84 -7.45 l
+o
+np
+558.12 451.86 m
+-2.32 -1.06 l
+o
+np
+555.80 450.80 m
+-12.26 -6.40 l
+o
+np
+543.54 444.40 m
+-1.64 -7.45 l
+o
+np
+541.90 436.95 m
+-1.98 -7.46 l
+o
+np
+539.92 429.49 m
+-6.98 -7.45 l
+o
+np
+532.94 422.04 m
+-5.45 -3.94 l
+o
+np
+527.49 418.10 m
+-7.60 -3.52 l
+o
+np
+519.89 414.58 m
+-20.72 -3.45 l
+o
+np
+499.17 411.13 m
+-28.31 -0.23 l
+o
+np
+470.86 410.90 m
+-28.32 3.24 l
+o
+np
+442.54 414.14 m
+-28.31 0.09 l
+o
+np
+414.23 414.23 m
+-28.31 0.23 l
+o
+np
+385.92 414.46 m
+-0.76 0.12 l
+o
+np
+385.16 414.58 m
+-27.56 3.95 l
+o
+np
+357.60 418.53 m
+-28.31 2.64 l
+o
+np
+329.29 421.17 m
+-10.45 0.87 l
+o
+np
+318.84 422.04 m
+-17.86 2.33 l
+o
+np
+300.98 424.37 m
+-20.61 5.12 l
+o
+np
+280.37 429.49 m
+-7.71 2.53 l
+o
+np
+272.66 432.02 m
+-7.03 4.93 l
+o
+np
+265.63 436.95 m
+-1.95 7.45 l
+o
+np
+263.68 444.40 m
+-3.04 7.46 l
+o
+np
+260.64 451.86 m
+-10.79 7.45 l
+o
+np
+249.85 459.31 m
+-5.50 3.07 l
+o
+np
+264.10 494.98 m
+4.00 1.61 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+253.49 492.23 m
+0.32 0.36 l
+o
+np
+253.81 492.59 m
+0.36 0.85 l
+o
+np
+254.17 493.44 m
+1.71 -4.23 l
+o
+np
+257.80 494.90 m
+-0.52 -0.44 l
+o
+np
+257.28 494.46 m
+-0.16 -0.77 l
+o
+np
+257.12 493.69 m
+0.20 -1.09 l
+o
+np
+257.32 492.60 m
+0.25 -0.60 l
+o
+np
+257.57 492.00 m
+0.60 -0.93 l
+o
+np
+258.17 491.07 m
+0.65 -0.44 l
+o
+np
+258.82 490.63 m
+0.69 0.04 l
+o
+np
+259.51 490.67 m
+0.40 0.16 l
+o
+np
+259.91 490.83 m
+0.52 0.45 l
+o
+np
+260.43 491.28 m
+0.16 0.77 l
+o
+np
+260.59 492.05 m
+-0.20 1.09 l
+o
+np
+260.39 493.14 m
+-0.24 0.60 l
+o
+np
+260.15 493.74 m
+-0.61 0.93 l
+o
+np
+259.54 494.67 m
+-0.65 0.44 l
+o
+np
+258.89 495.11 m
+-0.68 -0.04 l
+o
+np
+258.21 495.07 m
+-0.41 -0.17 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+272.66 462.74 m
+-6.10 4.03 l
+o
+np
+266.56 466.77 m
+-6.02 7.45 l
+o
+np
+260.54 474.22 m
+5.36 7.46 l
+o
+np
+265.90 481.68 m
+6.76 3.23 l
+o
+np
+272.66 484.91 m
+9.46 4.22 l
+o
+np
+300.98 493.56 m
+28.31 2.97 l
+o
+np
+329.29 496.53 m
+0.94 0.06 l
+o
+np
+330.23 496.59 m
+27.37 2.27 l
+o
+np
+357.60 498.86 m
+28.32 1.31 l
+o
+np
+385.92 500.17 m
+28.31 -0.30 l
+o
+np
+414.23 499.87 m
+24.86 -3.28 l
+o
+np
+439.09 496.59 m
+3.45 -0.41 l
+o
+np
+442.54 496.18 m
+28.32 -4.33 l
+o
+np
+470.86 491.85 m
+17.80 -2.72 l
+o
+np
+488.66 489.13 m
+10.51 -1.70 l
+o
+np
+499.17 487.43 m
+28.32 -5.70 l
+o
+np
+527.49 481.73 m
+0.12 -0.05 l
+o
+np
+527.61 481.68 m
+18.89 -7.46 l
+o
+np
+546.50 474.22 m
+9.30 -6.50 l
+o
+np
+555.80 467.72 m
+1.63 -0.95 l
+o
+np
+557.43 466.77 m
+-1.63 -1.47 l
+o
+np
+555.80 465.30 m
+-4.82 -5.99 l
+o
+np
+550.98 459.31 m
+-19.30 -7.45 l
+o
+np
+531.68 451.86 m
+-4.19 -1.78 l
+o
+np
+527.49 450.08 m
+-9.62 -5.68 l
+o
+np
+517.87 444.40 m
+-3.97 -7.45 l
+o
+np
+513.90 436.95 m
+-5.48 -7.46 l
+o
+np
+508.42 429.49 m
+-9.25 -4.64 l
+o
+np
+499.17 424.85 m
+-12.78 -2.81 l
+o
+np
+486.39 422.04 m
+-15.53 -2.17 l
+o
+np
+470.86 419.87 m
+-28.32 1.71 l
+o
+np
+442.54 421.58 m
+-7.21 0.46 l
+o
+np
+435.33 422.04 m
+-21.10 1.27 l
+o
+np
+414.23 423.31 m
+-28.31 1.99 l
+o
+np
+385.92 425.30 m
+-28.32 3.89 l
+o
+np
+357.60 429.19 m
+-1.64 0.30 l
+o
+np
+355.96 429.49 m
+-26.67 4.91 l
+o
+np
+329.29 434.40 m
+-14.66 2.55 l
+o
+np
+314.63 436.95 m
+-13.65 2.92 l
+o
+np
+300.98 439.87 m
+-9.18 4.53 l
+o
+np
+291.80 444.40 m
+-8.14 7.46 l
+o
+np
+283.66 451.86 m
+-7.93 7.45 l
+o
+np
+275.73 459.31 m
+-3.07 3.43 l
+o
+np
+297.36 492.71 m
+3.62 0.85 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+286.45 491.60 m
+0.38 0.31 l
+o
+np
+286.83 491.91 m
+0.48 0.79 l
+o
+np
+287.31 492.70 m
+1.05 -4.45 l
+o
+np
+292.39 493.89 m
+-2.12 -0.50 l
+o
+np
+290.27 493.39 m
+0.24 -1.95 l
+o
+np
+290.51 491.44 m
+0.16 0.26 l
+o
+np
+290.67 491.70 m
+0.59 0.36 l
+o
+np
+291.26 492.06 m
+0.63 0.15 l
+o
+np
+291.89 492.21 m
+0.69 -0.06 l
+o
+np
+292.58 492.15 m
+0.52 -0.33 l
+o
+np
+293.10 491.82 m
+0.36 -0.58 l
+o
+np
+293.46 491.24 m
+0.10 -0.42 l
+o
+np
+293.56 490.82 m
+-0.06 -0.69 l
+o
+np
+293.50 490.13 m
+-0.33 -0.52 l
+o
+np
+293.17 489.61 m
+-0.58 -0.36 l
+o
+np
+292.59 489.25 m
+-0.64 -0.15 l
+o
+np
+291.95 489.10 m
+-0.68 0.06 l
+o
+np
+291.27 489.16 m
+-0.26 0.16 l
+o
+np
+291.01 489.32 m
+-0.31 0.38 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+300.98 453.92 m
+-6.81 5.39 l
+o
+np
+294.17 459.31 m
+-4.51 7.46 l
+o
+np
+289.66 466.77 m
+-4.72 7.45 l
+o
+np
+284.94 474.22 m
+3.32 7.46 l
+o
+np
+288.26 481.68 m
+12.72 4.76 l
+o
+np
+300.98 486.44 m
+13.30 2.69 l
+o
+np
+314.28 489.13 m
+15.01 2.07 l
+o
+np
+357.60 492.81 m
+28.32 0.44 l
+o
+np
+385.92 493.25 m
+28.31 -0.72 l
+o
+np
+414.23 492.53 m
+28.31 -2.96 l
+o
+np
+442.54 489.57 m
+2.65 -0.44 l
+o
+np
+445.19 489.13 m
+25.67 -4.58 l
+o
+np
+470.86 484.55 m
+16.65 -2.87 l
+o
+np
+487.51 481.68 m
+11.66 -2.52 l
+o
+np
+499.17 479.16 m
+19.55 -4.94 l
+o
+np
+518.72 474.22 m
+8.77 -3.32 l
+o
+np
+527.49 470.90 m
+6.93 -4.13 l
+o
+np
+534.42 466.77 m
+-5.31 -7.46 l
+o
+np
+529.11 459.31 m
+-1.62 -0.61 l
+o
+np
+527.49 458.70 m
+-15.14 -6.84 l
+o
+np
+512.35 451.86 m
+-12.95 -7.46 l
+o
+np
+499.40 444.40 m
+-0.23 -0.31 l
+o
+np
+499.17 444.09 m
+-6.13 -7.14 l
+o
+np
+493.04 436.95 m
+-11.47 -7.46 l
+o
+np
+481.57 429.49 m
+-10.71 -2.58 l
+o
+np
+470.86 426.91 m
+-28.32 0.30 l
+o
+np
+442.54 427.21 m
+-22.49 2.28 l
+o
+np
+420.05 429.49 m
+-5.82 0.68 l
+o
+np
+414.23 430.17 m
+-28.31 2.96 l
+o
+np
+385.92 433.13 m
+-26.29 3.82 l
+o
+np
+359.63 436.95 m
+-2.03 0.28 l
+o
+np
+357.60 437.23 m
+-28.31 5.75 l
+o
+np
+329.29 442.98 m
+-6.02 1.42 l
+o
+np
+323.27 444.40 m
+-18.53 7.46 l
+o
+np
+304.74 451.86 m
+-3.76 2.06 l
+o
+np
+329.29 491.20 m
+12.69 0.72 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+346.25 493.36 m
+-0.01 0.22 l
+o
+np
+346.24 493.58 m
+0.19 0.44 l
+o
+np
+346.43 494.02 m
+0.21 0.23 l
+o
+np
+346.64 494.25 m
+0.42 0.24 l
+o
+np
+347.06 494.49 m
+0.87 0.05 l
+o
+np
+347.93 494.54 m
+0.44 -0.19 l
+o
+np
+348.37 494.35 m
+0.23 -0.20 l
+o
+np
+348.60 494.15 m
+0.24 -0.43 l
+o
+np
+348.84 493.72 m
+0.03 -0.43 l
+o
+np
+348.87 493.29 m
+-0.19 -0.45 l
+o
+np
+348.68 492.84 m
+-0.40 -0.67 l
+o
+np
+348.28 492.17 m
+-2.05 -2.29 l
+o
+np
+346.23 489.88 m
+3.04 0.17 l
+o
+np
+351.62 494.75 m
+-0.64 -0.25 l
+o
+np
+350.98 494.50 m
+-0.40 -0.68 l
+o
+np
+350.58 493.82 m
+-0.16 -1.09 l
+o
+np
+350.42 492.73 m
+0.04 -0.66 l
+o
+np
+350.46 492.07 m
+0.28 -1.07 l
+o
+np
+350.74 491.00 m
+0.47 -0.62 l
+o
+np
+351.21 490.38 m
+0.66 -0.18 l
+o
+np
+351.87 490.20 m
+0.44 0.02 l
+o
+np
+352.31 490.22 m
+0.64 0.25 l
+o
+np
+352.95 490.47 m
+0.39 0.68 l
+o
+np
+353.34 491.15 m
+0.16 1.10 l
+o
+np
+353.50 492.25 m
+-0.04 0.65 l
+o
+np
+353.46 492.90 m
+-0.28 1.07 l
+o
+np
+353.18 493.97 m
+-0.47 0.63 l
+o
+np
+352.71 494.60 m
+-0.66 0.18 l
+o
+np
+352.05 494.78 m
+-0.43 -0.03 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+329.29 454.33 m
+-5.76 4.98 l
+o
+np
+323.53 459.31 m
+0.31 7.46 l
+o
+np
+323.84 466.77 m
+-11.06 7.45 l
+o
+np
+312.78 474.22 m
+2.63 7.46 l
+o
+np
+315.41 481.68 m
+13.88 2.83 l
+o
+np
+329.29 484.51 m
+28.31 1.58 l
+o
+np
+357.60 486.09 m
+28.32 -1.48 l
+o
+np
+414.23 484.61 m
+28.31 -1.91 l
+o
+np
+442.54 482.70 m
+5.64 -1.02 l
+o
+np
+448.18 481.68 m
+22.68 -6.94 l
+o
+np
+470.86 474.74 m
+2.55 -0.52 l
+o
+np
+473.41 474.22 m
+25.76 -4.84 l
+o
+np
+499.17 469.38 m
+7.36 -2.61 l
+o
+np
+506.53 466.77 m
+0.99 -7.46 l
+o
+np
+507.52 459.31 m
+-8.35 -4.38 l
+o
+np
+499.17 454.93 m
+-6.96 -3.07 l
+o
+np
+492.21 451.86 m
+-14.71 -7.46 l
+o
+np
+477.50 444.40 m
+-6.64 -7.40 l
+o
+np
+470.86 437.00 m
+-0.20 -0.05 l
+o
+np
+470.66 436.95 m
+-28.12 -2.61 l
+o
+np
+442.54 434.34 m
+-28.31 2.15 l
+o
+np
+414.23 436.49 m
+-4.36 0.46 l
+o
+np
+409.87 436.95 m
+-23.95 2.13 l
+o
+np
+385.92 439.08 m
+-28.32 4.10 l
+o
+np
+357.60 443.18 m
+-5.66 1.22 l
+o
+np
+351.94 444.40 m
+-20.31 7.46 l
+o
+np
+331.63 451.86 m
+-2.34 2.47 l
+o
+np
+401.57 484.61 m
+12.66 0 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+390.27 485.81 m
+0 0.21 l
+o
+np
+390.27 486.02 m
+0.21 0.44 l
+o
+np
+390.48 486.46 m
+0.22 0.22 l
+o
+np
+390.70 486.68 m
+0.43 0.21 l
+o
+np
+391.13 486.89 m
+0.87 0 l
+o
+np
+392.00 486.89 m
+0.44 -0.22 l
+o
+np
+392.44 486.67 m
+0.22 -0.21 l
+o
+np
+392.66 486.46 m
+0.21 -0.44 l
+o
+np
+392.87 486.02 m
+0 -0.43 l
+o
+np
+392.87 485.59 m
+-0.21 -0.44 l
+o
+np
+392.66 485.15 m
+-0.44 -0.65 l
+o
+np
+392.22 484.50 m
+-2.17 -2.17 l
+o
+np
+390.05 482.33 m
+3.04 0 l
+o
+np
+397.00 486.89 m
+-2.17 0 l
+o
+np
+394.83 486.89 m
+-0.22 -1.95 l
+o
+np
+394.61 484.94 m
+0.22 0.21 l
+o
+np
+394.83 485.15 m
+0.65 0.22 l
+o
+np
+395.48 485.37 m
+0.65 0 l
+o
+np
+396.13 485.37 m
+0.66 -0.22 l
+o
+np
+396.79 485.15 m
+0.43 -0.43 l
+o
+np
+397.22 484.72 m
+0.22 -0.65 l
+o
+np
+397.44 484.07 m
+0 -0.44 l
+o
+np
+397.44 483.63 m
+-0.22 -0.65 l
+o
+np
+397.22 482.98 m
+-0.43 -0.44 l
+o
+np
+396.79 482.54 m
+-0.66 -0.21 l
+o
+np
+396.13 482.33 m
+-0.65 0 l
+o
+np
+395.48 482.33 m
+-0.65 0.21 l
+o
+np
+394.83 482.54 m
+-0.22 0.22 l
+o
+np
+394.61 482.76 m
+-0.22 0.44 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+361.12 451.86 m
+9.63 7.45 l
+o
+np
+370.75 459.31 m
+15.17 4.39 l
+o
+np
+385.92 463.70 m
+18.71 3.07 l
+o
+np
+404.63 466.77 m
+9.60 2.45 l
+o
+np
+414.23 469.22 m
+19.73 -2.45 l
+o
+np
+433.96 466.77 m
+8.58 -0.98 l
+o
+np
+442.54 465.79 m
+28.32 -5.93 l
+o
+np
+470.86 459.86 m
+1.48 -0.55 l
+o
+np
+472.34 459.31 m
+-1.48 -1.26 l
+o
+np
+470.86 458.05 m
+-7.29 -6.19 l
+o
+np
+463.57 451.86 m
+-21.03 -5.96 l
+o
+np
+442.54 445.90 m
+-11.88 -1.50 l
+o
+np
+430.66 444.40 m
+-16.43 -1.13 l
+o
+np
+414.23 443.27 m
+-24.91 1.13 l
+o
+np
+389.32 444.40 m
+-3.40 0.22 l
+o
+np
+385.92 444.62 m
+-9.78 2.85 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+366.14 452.77 m
+2.29 -0.67 l
+o
+np
+368.43 452.10 m
+-1.74 -1.31 l
+o
+np
+366.69 450.79 m
+0.63 -0.18 l
+o
+np
+367.32 450.61 m
+0.36 -0.33 l
+o
+np
+367.68 450.28 m
+0.14 -0.27 l
+o
+np
+367.82 450.01 m
+0.03 -0.69 l
+o
+np
+367.85 449.32 m
+-0.12 -0.41 l
+o
+np
+367.73 448.91 m
+-0.39 -0.57 l
+o
+np
+367.34 448.34 m
+-0.54 -0.29 l
+o
+np
+366.80 448.05 m
+-0.69 -0.03 l
+o
+np
+366.11 448.02 m
+-0.63 0.18 l
+o
+np
+365.48 448.20 m
+-0.56 0.39 l
+o
+np
+364.92 448.59 m
+-0.15 0.27 l
+o
+np
+364.77 448.86 m
+-0.08 0.48 l
+o
+np
+371.15 451.30 m
+-0.69 -0.02 l
+o
+np
+370.46 451.28 m
+-0.60 -0.51 l
+o
+np
+369.86 450.77 m
+-0.51 -0.98 l
+o
+np
+369.35 449.79 m
+-0.19 -0.62 l
+o
+np
+369.16 449.17 m
+-0.09 -1.11 l
+o
+np
+369.07 448.06 m
+0.23 -0.75 l
+o
+np
+369.30 447.31 m
+0.57 -0.39 l
+o
+np
+369.87 446.92 m
+0.41 -0.12 l
+o
+np
+370.28 446.80 m
+0.69 0.03 l
+o
+np
+370.97 446.83 m
+0.60 0.50 l
+o
+np
+371.57 447.33 m
+0.51 0.98 l
+o
+np
+372.08 448.31 m
+0.19 0.63 l
+o
+np
+372.27 448.94 m
+0.09 1.10 l
+o
+np
+372.36 450.04 m
+-0.23 0.75 l
+o
+np
+372.13 450.79 m
+-0.57 0.39 l
+o
+np
+371.56 451.18 m
+-0.41 0.12 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+119.82 355.24 m
+528.43 0 l
+o
+np
+119.82 355.24 m
+0 -3.60 l
+o
+np
+295.97 355.24 m
+0 -3.60 l
+o
+np
+472.11 355.24 m
+0 -3.60 l
+o
+np
+648.25 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+119.82 335.08 (0.2) .5 0 0 t
+295.97 335.08 (0.3) .5 0 0 t
+472.11 335.08 (0.4) .5 0 0 t
+648.25 335.08 (0.5) .5 0 0 t
+np
+75.60 378.26 m
+0 156.02 l
+o
+np
+75.60 378.26 m
+-3.60 0 l
+o
+np
+75.60 417.27 m
+-3.60 0 l
+o
+np
+75.60 456.27 m
+-3.60 0 l
+o
+np
+75.60 495.28 m
+-3.60 0 l
+o
+np
+75.60 534.28 m
+-3.60 0 l
+o
+64.08 378.26 (0.4) .5 0 90 t
+64.08 417.27 (0.5) .5 0 90 t
+64.08 456.27 (0.6) .5 0 90 t
+64.08 495.28 (0.7) .5 0 90 t
+64.08 534.28 (0.8) .5 0 90 t
+np
+75.60 355.24 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+18.00 18.00 823.89 297.64 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+75.60 82.76 370.89 38.90 r p3
+75.60 129.43 587.11 38.90 r p3
+75.60 176.11 228.24 38.90 r p3
+75.60 222.78 315.33 38.90 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+64.08 102.21 (\(0,0\)) .5 0 90 t
+64.08 148.88 (\(0,1\)) .5 0 90 t
+64.08 195.56 (\(1,0\)) .5 0 90 t
+64.08 242.23 (\(1,1\)) .5 0 90 t
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Predicted Values: \(Y1,Y2\)|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 35.28 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 75.60 m
+600.63 0 l
+o
+np
+75.60 75.60 m
+0 -3.60 l
+o
+np
+225.76 75.60 m
+0 -3.60 l
+o
+np
+375.91 75.60 m
+0 -3.60 l
+o
+np
+526.07 75.60 m
+0 -3.60 l
+o
+np
+676.23 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+75.60 55.44 (0) .5 0 0 t
+225.76 55.44 (10) .5 0 0 t
+375.91 55.44 (20) .5 0 0 t
+526.07 55.44 (30) .5 0 0 t
+676.23 55.44 (40) .5 0 0 t
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 6 6
+bp
+56.02 428.87 814.39 558.27 cl
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 402.26 (Pr\(Y1 = 1\)) .5 0 0 t
+35.11 493.57 (Pr\(Y2 = 1\)) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+171.88 434.27 m
+-29.26 1.61 l
+o
+np
+142.62 435.88 m
+-24.11 2.77 l
+o
+np
+118.51 438.65 m
+-5.15 0.62 l
+o
+np
+113.36 439.27 m
+-21.37 4.37 l
+o
+np
+91.99 443.64 m
+-7.89 3.91 l
+o
+np
+188.50 433.91 m
+-16.62 0.36 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+195.29 436.04 m
+-2.17 0.05 l
+o
+np
+193.12 436.09 m
+-0.26 -1.95 l
+o
+np
+192.86 434.14 m
+0.22 0.21 l
+o
+np
+193.08 434.35 m
+0.66 0.20 l
+o
+np
+193.74 434.55 m
+0.65 -0.01 l
+o
+np
+194.39 434.54 m
+0.64 -0.23 l
+o
+np
+195.03 434.31 m
+0.43 -0.45 l
+o
+np
+195.46 433.86 m
+0.20 -0.65 l
+o
+np
+195.66 433.21 m
+-0.01 -0.44 l
+o
+np
+195.65 432.77 m
+-0.23 -0.65 l
+o
+np
+195.42 432.12 m
+-0.44 -0.42 l
+o
+np
+194.98 431.70 m
+-0.66 -0.20 l
+o
+np
+194.32 431.50 m
+-0.65 0.01 l
+o
+np
+193.67 431.51 m
+-0.65 0.23 l
+o
+np
+193.02 431.74 m
+-0.21 0.22 l
+o
+np
+192.81 431.96 m
+-0.21 0.44 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+84.10 492.16 m
+1.74 1.41 l
+o
+np
+85.84 493.57 m
+9.87 4.99 l
+o
+np
+95.71 498.56 m
+8.09 4.99 l
+o
+np
+103.80 503.55 m
+-1.57 4.99 l
+o
+np
+102.23 508.54 m
+7.94 5.00 l
+o
+np
+110.17 513.54 m
+3.19 0.59 l
+o
+np
+142.62 516.03 m
+22.09 -2.49 l
+o
+np
+164.71 513.54 m
+7.17 -1.04 l
+o
+np
+171.88 512.50 m
+29.26 -0.88 l
+o
+np
+201.14 511.62 m
+29.25 1.06 l
+o
+np
+230.39 512.68 m
+29.26 -2.89 l
+o
+np
+259.65 509.79 m
+9.37 -1.25 l
+o
+np
+269.02 508.54 m
+19.89 -1.50 l
+o
+np
+288.91 507.04 m
+29.26 -0.89 l
+o
+np
+318.17 506.15 m
+27.66 -2.60 l
+o
+np
+345.83 503.55 m
+1.60 -0.20 l
+o
+np
+347.43 503.35 m
+24.31 -4.79 l
+o
+np
+371.74 498.56 m
+4.94 -2.59 l
+o
+np
+376.68 495.97 m
+7.13 -2.40 l
+o
+np
+383.81 493.57 m
+22.13 -4.97 l
+o
+np
+405.94 488.60 m
+0.14 -0.03 l
+o
+np
+406.08 488.57 m
+21.38 -4.99 l
+o
+np
+427.46 483.58 m
+7.74 -2.08 l
+o
+np
+435.20 481.50 m
+22.57 -2.91 l
+o
+np
+457.77 478.59 m
+6.69 -2.56 l
+o
+np
+464.46 476.03 m
+11.49 -2.43 l
+o
+np
+475.95 473.60 m
+17.77 -3.15 l
+o
+np
+493.72 470.45 m
+4.85 -1.84 l
+o
+np
+498.57 468.61 m
+24.41 -4.90 l
+o
+np
+522.98 463.71 m
+0.26 -0.10 l
+o
+np
+523.24 463.61 m
+4.29 -4.99 l
+o
+np
+527.53 458.62 m
+-4.55 -2.95 l
+o
+np
+522.98 455.67 m
+-10.82 -2.04 l
+o
+np
+512.16 453.63 m
+-18.44 -1.51 l
+o
+np
+493.72 452.12 m
+-29.26 -1.54 l
+o
+np
+464.46 450.58 m
+-11.18 -1.94 l
+o
+np
+453.28 448.64 m
+-18.08 -2.87 l
+o
+np
+435.20 445.77 m
+-11.68 -2.13 l
+o
+np
+423.52 443.64 m
+-17.58 -3.17 l
+o
+np
+405.94 440.47 m
+-29.26 -0.29 l
+o
+np
+376.68 440.18 m
+-29.25 -0.03 l
+o
+np
+347.43 440.15 m
+-19.28 -1.50 l
+o
+np
+328.15 438.65 m
+-9.98 -1.01 l
+o
+np
+318.17 437.64 m
+-29.26 -2.32 l
+o
+np
+288.91 435.32 m
+-29.26 -0.88 l
+o
+np
+259.65 434.44 m
+-29.26 -0.53 l
+o
+np
+230.39 433.91 m
+-26.29 -0.25 l
+o
+np
+124.64 514.86 m
+17.98 1.17 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+119.94 516.84 m
+-2.17 -0.14 l
+o
+np
+117.77 516.70 m
+-0.09 -1.96 l
+o
+np
+117.68 514.74 m
+0.20 0.23 l
+o
+np
+117.88 514.97 m
+0.64 0.26 l
+o
+np
+118.52 515.23 m
+0.65 0.04 l
+o
+np
+119.17 515.27 m
+0.66 -0.17 l
+o
+np
+119.83 515.10 m
+0.47 -0.41 l
+o
+np
+120.30 514.69 m
+0.26 -0.64 l
+o
+np
+120.56 514.05 m
+0.02 -0.43 l
+o
+np
+120.58 513.62 m
+-0.17 -0.67 l
+o
+np
+120.41 512.95 m
+-0.41 -0.46 l
+o
+np
+120.00 512.49 m
+-0.63 -0.26 l
+o
+np
+119.37 512.23 m
+-0.65 -0.04 l
+o
+np
+118.72 512.19 m
+-0.67 0.18 l
+o
+np
+118.05 512.37 m
+-0.23 0.20 l
+o
+np
+117.82 512.57 m
+-0.25 0.42 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+84.10 471.82 m
+0.87 1.78 l
+o
+np
+84.97 473.60 m
+2.38 4.99 l
+o
+np
+87.35 478.59 m
+1.41 4.99 l
+o
+np
+88.76 483.58 m
+4.27 4.99 l
+o
+np
+93.03 488.57 m
+10.91 5.00 l
+o
+np
+103.94 493.57 m
+9.42 2.81 l
+o
+np
+113.36 496.38 m
+9.99 2.18 l
+o
+np
+123.35 498.56 m
+19.27 4.39 l
+o
+np
+142.62 502.95 m
+12.34 0.60 l
+o
+np
+171.88 504.48 m
+29.26 -0.08 l
+o
+np
+201.14 504.40 m
+29.25 0.29 l
+o
+np
+230.39 504.69 m
+13.26 -1.14 l
+o
+np
+243.65 503.55 m
+16.00 -0.99 l
+o
+np
+259.65 502.56 m
+29.26 -1.12 l
+o
+np
+288.91 501.44 m
+29.26 -1.42 l
+o
+np
+318.17 500.02 m
+10.34 -1.46 l
+o
+np
+328.51 498.56 m
+6.59 -4.99 l
+o
+np
+335.10 493.57 m
+9.10 -5.00 l
+o
+np
+344.20 488.57 m
+3.23 -0.50 l
+o
+np
+347.43 488.07 m
+29.25 -4.26 l
+o
+np
+376.68 483.81 m
+1.27 -0.23 l
+o
+np
+377.95 483.58 m
+16.89 -4.99 l
+o
+np
+394.84 478.59 m
+11.10 -3.90 l
+o
+np
+405.94 474.69 m
+3.44 -1.09 l
+o
+np
+409.38 473.60 m
+18.22 -4.99 l
+o
+np
+427.60 468.61 m
+7.60 -4.11 l
+o
+np
+435.20 464.50 m
+2.77 -0.89 l
+o
+np
+437.97 463.61 m
+-1.65 -4.99 l
+o
+np
+436.32 458.62 m
+-1.12 -0.30 l
+o
+np
+435.20 458.32 m
+-12.73 -4.69 l
+o
+np
+422.47 453.63 m
+-16.53 -4.30 l
+o
+np
+405.94 449.33 m
+-3.56 -0.69 l
+o
+np
+402.38 448.64 m
+-25.70 -2.24 l
+o
+np
+376.68 446.40 m
+-29.25 -1.51 l
+o
+np
+347.43 444.89 m
+-15.29 -1.25 l
+o
+np
+332.14 443.64 m
+-13.97 -1.26 l
+o
+np
+318.17 442.38 m
+-29.26 -2.79 l
+o
+np
+288.91 439.59 m
+-15.06 -0.94 l
+o
+np
+273.85 438.65 m
+-14.20 -0.79 l
+o
+np
+259.65 437.86 m
+-29.26 -1.17 l
+o
+np
+230.39 436.69 m
+-29.25 -0.56 l
+o
+np
+201.14 436.13 m
+-29.26 0.96 l
+o
+np
+171.88 437.09 m
+-17.97 1.56 l
+o
+np
+153.91 438.65 m
+-11.29 0.82 l
+o
+np
+142.62 439.47 m
+-28.91 4.17 l
+o
+np
+113.71 443.64 m
+-0.35 0.09 l
+o
+np
+113.36 443.73 m
+-17.09 4.91 l
+o
+np
+96.27 448.64 m
+-7.84 4.99 l
+o
+np
+88.43 453.63 m
+-4.00 4.99 l
+o
+np
+84.43 458.62 m
+-0.33 0.90 l
+o
+np
+170.59 504.41 m
+1.29 0.07 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+159.66 505.23 m
+0.42 0.24 l
+o
+np
+160.08 505.47 m
+0.62 0.68 l
+o
+np
+160.70 506.15 m
+0.25 -4.55 l
+o
+np
+164.60 506.37 m
+-0.64 -0.26 l
+o
+np
+163.96 506.11 m
+-0.40 -0.67 l
+o
+np
+163.56 505.44 m
+-0.15 -1.10 l
+o
+np
+163.41 504.34 m
+0.03 -0.65 l
+o
+np
+163.44 503.69 m
+0.28 -1.07 l
+o
+np
+163.72 502.62 m
+0.47 -0.63 l
+o
+np
+164.19 501.99 m
+0.66 -0.18 l
+o
+np
+164.85 501.81 m
+0.44 0.02 l
+o
+np
+165.29 501.83 m
+0.64 0.26 l
+o
+np
+165.93 502.09 m
+0.39 0.67 l
+o
+np
+166.32 502.76 m
+0.16 1.10 l
+o
+np
+166.48 503.86 m
+-0.03 0.65 l
+o
+np
+166.45 504.51 m
+-0.28 1.07 l
+o
+np
+166.17 505.58 m
+-0.47 0.63 l
+o
+np
+165.70 506.21 m
+-0.66 0.18 l
+o
+np
+165.04 506.39 m
+-0.44 -0.02 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 447.61 m
+-3.57 1.03 l
+o
+np
+109.79 448.64 m
+-11.36 4.99 l
+o
+np
+98.43 453.63 m
+-6.02 4.99 l
+o
+np
+92.41 458.62 m
+-2.49 4.99 l
+o
+np
+89.92 463.61 m
+-0.02 5.00 l
+o
+np
+89.90 468.61 m
+2.97 4.99 l
+o
+np
+92.87 473.60 m
+2.93 4.99 l
+o
+np
+95.80 478.59 m
+2.13 4.99 l
+o
+np
+97.93 483.58 m
+6.91 4.99 l
+o
+np
+104.84 488.57 m
+8.52 3.00 l
+o
+np
+113.36 491.57 m
+8.14 2.00 l
+o
+np
+121.50 493.57 m
+21.12 4.24 l
+o
+np
+142.62 497.81 m
+9.16 0.75 l
+o
+np
+151.78 498.56 m
+20.10 1.80 l
+o
+np
+171.88 500.36 m
+29.26 -0.68 l
+o
+np
+222.51 498.56 m
+7.88 -0.36 l
+o
+np
+230.39 498.20 m
+29.26 -1.19 l
+o
+np
+259.65 497.01 m
+29.26 -2.86 l
+o
+np
+288.91 494.15 m
+2.56 -0.58 l
+o
+np
+291.47 493.57 m
+5.79 -5.00 l
+o
+np
+297.26 488.57 m
+20.91 -4.58 l
+o
+np
+318.17 483.99 m
+2.69 -0.41 l
+o
+np
+320.86 483.58 m
+26.57 -3.28 l
+o
+np
+347.43 480.30 m
+8.13 -1.71 l
+o
+np
+355.56 478.59 m
+14.52 -4.99 l
+o
+np
+370.08 473.60 m
+6.60 -1.47 l
+o
+np
+376.68 472.13 m
+15.72 -3.52 l
+o
+np
+392.40 468.61 m
+3.16 -5.00 l
+o
+np
+395.56 463.61 m
+-18.88 -3.08 l
+o
+np
+376.68 460.53 m
+-7.80 -1.91 l
+o
+np
+368.88 458.62 m
+-6.44 -4.99 l
+o
+np
+362.44 453.63 m
+-15.01 -4.57 l
+o
+np
+347.43 449.06 m
+-1.35 -0.42 l
+o
+np
+346.08 448.64 m
+-27.91 -2.90 l
+o
+np
+318.17 445.74 m
+-26.79 -2.10 l
+o
+np
+291.38 443.64 m
+-2.47 -0.25 l
+o
+np
+288.91 443.39 m
+-29.26 -2.54 l
+o
+np
+259.65 440.85 m
+-29.26 -1.58 l
+o
+np
+230.39 439.27 m
+-28.60 -0.62 l
+o
+np
+201.79 438.65 m
+-0.65 -0.02 l
+o
+np
+201.14 438.63 m
+-0.44 0.02 l
+o
+np
+200.70 438.65 m
+-28.82 0.80 l
+o
+np
+171.88 439.45 m
+-29.26 2.38 l
+o
+np
+142.62 441.83 m
+-12.56 1.81 l
+o
+np
+130.06 443.64 m
+-16.70 3.97 l
+o
+np
+216.77 498.86 m
+5.74 -0.30 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+205.99 500.84 m
+0.44 0.19 l
+o
+np
+206.43 501.03 m
+0.69 0.62 l
+o
+np
+207.12 501.65 m
+-0.24 -4.56 l
+o
+np
+212.33 501.38 m
+-2.17 0.11 l
+o
+np
+210.16 501.49 m
+-0.32 -1.94 l
+o
+np
+209.84 499.55 m
+0.22 0.21 l
+o
+np
+210.06 499.76 m
+0.67 0.18 l
+o
+np
+210.73 499.94 m
+0.65 -0.04 l
+o
+np
+211.38 499.90 m
+0.64 -0.25 l
+o
+np
+212.02 499.65 m
+0.41 -0.45 l
+o
+np
+212.43 499.20 m
+0.18 -0.67 l
+o
+np
+212.61 498.53 m
+-0.02 -0.43 l
+o
+np
+212.59 498.10 m
+-0.25 -0.64 l
+o
+np
+212.34 497.46 m
+-0.46 -0.41 l
+o
+np
+211.88 497.05 m
+-0.66 -0.19 l
+o
+np
+211.22 496.86 m
+-0.65 0.04 l
+o
+np
+210.57 496.90 m
+-0.64 0.25 l
+o
+np
+209.93 497.15 m
+-0.21 0.23 l
+o
+np
+209.72 497.38 m
+-0.19 0.44 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 451.62 m
+-4.94 2.01 l
+o
+np
+108.42 453.63 m
+-8.04 4.99 l
+o
+np
+100.38 458.62 m
+-3.30 4.99 l
+o
+np
+97.08 463.61 m
+0.04 5.00 l
+o
+np
+97.12 468.61 m
+3.66 4.99 l
+o
+np
+100.78 473.60 m
+3.47 4.99 l
+o
+np
+104.25 478.59 m
+2.85 4.99 l
+o
+np
+107.10 483.58 m
+6.26 3.55 l
+o
+np
+113.36 487.13 m
+3.51 1.44 l
+o
+np
+138.49 493.57 m
+4.13 0.83 l
+o
+np
+142.62 494.40 m
+29.26 2.52 l
+o
+np
+171.88 496.92 m
+29.26 -0.80 l
+o
+np
+201.14 496.12 m
+29.25 -1.84 l
+o
+np
+230.39 494.28 m
+10.09 -0.71 l
+o
+np
+240.48 493.57 m
+19.17 -3.07 l
+o
+np
+259.65 490.50 m
+6.14 -1.93 l
+o
+np
+265.79 488.57 m
+6.18 -4.99 l
+o
+np
+271.97 483.58 m
+16.94 -3.29 l
+o
+np
+288.91 480.29 m
+21.10 -1.70 l
+o
+np
+310.01 478.59 m
+8.16 -1.14 l
+o
+np
+318.17 477.45 m
+15.27 -3.85 l
+o
+np
+333.44 473.60 m
+13.99 -4.48 l
+o
+np
+347.43 469.12 m
+2.12 -0.51 l
+o
+np
+349.55 468.61 m
+3.35 -5.00 l
+o
+np
+352.90 463.61 m
+-5.47 -1.56 l
+o
+np
+347.43 462.05 m
+-5.04 -3.43 l
+o
+np
+342.39 458.62 m
+-3.18 -4.99 l
+o
+np
+339.21 453.63 m
+-21.04 -4.91 l
+o
+np
+318.17 448.72 m
+-0.81 -0.08 l
+o
+np
+317.36 448.64 m
+-28.45 -2.20 l
+o
+np
+288.91 446.44 m
+-29.26 -2.73 l
+o
+np
+259.65 443.71 m
+-0.71 -0.07 l
+o
+np
+258.94 443.64 m
+-28.55 -2.28 l
+o
+np
+230.39 441.36 m
+-29.25 -0.95 l
+o
+np
+201.14 440.41 m
+-29.26 0.81 l
+o
+np
+171.88 441.22 m
+-25.01 2.42 l
+o
+np
+146.87 443.64 m
+-4.25 0.49 l
+o
+np
+142.62 444.13 m
+-21.84 4.51 l
+o
+np
+120.78 448.64 m
+-7.42 2.98 l
+o
+np
+132.12 492.10 m
+6.37 1.47 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+120.84 490.72 m
+-0.05 0.21 l
+o
+np
+120.79 490.93 m
+0.11 0.47 l
+o
+np
+120.90 491.40 m
+0.17 0.26 l
+o
+np
+121.07 491.66 m
+0.37 0.31 l
+o
+np
+121.44 491.97 m
+0.85 0.20 l
+o
+np
+122.29 492.17 m
+0.47 -0.11 l
+o
+np
+122.76 492.06 m
+0.26 -0.17 l
+o
+np
+123.02 491.89 m
+0.31 -0.37 l
+o
+np
+123.33 491.52 m
+0.10 -0.43 l
+o
+np
+123.43 491.09 m
+-0.11 -0.47 l
+o
+np
+123.32 490.62 m
+-0.28 -0.73 l
+o
+np
+123.04 489.89 m
+-1.63 -2.61 l
+o
+np
+121.41 487.28 m
+2.97 0.69 l
+o
+np
+125.89 493.00 m
+-0.59 -0.36 l
+o
+np
+125.30 492.64 m
+-0.27 -0.73 l
+o
+np
+125.03 491.91 m
+0.03 -1.11 l
+o
+np
+125.06 490.80 m
+0.15 -0.63 l
+o
+np
+125.21 490.17 m
+0.45 -1.01 l
+o
+np
+125.66 489.16 m
+0.57 -0.54 l
+o
+np
+126.23 488.62 m
+0.69 -0.07 l
+o
+np
+126.92 488.55 m
+0.42 0.10 l
+o
+np
+127.34 488.65 m
+0.59 0.36 l
+o
+np
+127.93 489.01 m
+0.27 0.73 l
+o
+np
+128.20 489.74 m
+-0.03 1.11 l
+o
+np
+128.17 490.85 m
+-0.15 0.64 l
+o
+np
+128.02 491.49 m
+-0.45 1.01 l
+o
+np
+127.57 492.50 m
+-0.57 0.53 l
+o
+np
+127.00 493.03 m
+-0.69 0.07 l
+o
+np
+126.31 493.10 m
+-0.42 -0.10 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 455.86 m
+-5.00 2.76 l
+o
+np
+108.36 458.62 m
+-4.12 4.99 l
+o
+np
+104.24 463.61 m
+0.10 5.00 l
+o
+np
+104.34 468.61 m
+4.34 4.99 l
+o
+np
+108.68 473.60 m
+4.02 4.99 l
+o
+np
+112.70 478.59 m
+0.66 0.99 l
+o
+np
+113.36 479.58 m
+3.30 4.00 l
+o
+np
+116.66 483.58 m
+12.82 4.99 l
+o
+np
+129.48 488.57 m
+13.14 2.90 l
+o
+np
+142.62 491.47 m
+26.99 2.10 l
+o
+np
+169.61 493.57 m
+2.27 0.20 l
+o
+np
+171.88 493.77 m
+6.62 -0.20 l
+o
+np
+178.50 493.57 m
+22.64 -0.77 l
+o
+np
+201.14 492.80 m
+29.25 -2.70 l
+o
+np
+230.39 490.10 m
+9.21 -1.53 l
+o
+np
+239.60 488.57 m
+9.72 -4.99 l
+o
+np
+249.32 483.58 m
+10.33 -2.80 l
+o
+np
+259.65 480.78 m
+11.32 -2.19 l
+o
+np
+288.91 475.49 m
+12.19 -1.89 l
+o
+np
+301.10 473.60 m
+9.03 -4.99 l
+o
+np
+310.13 468.61 m
+8.04 -4.46 l
+o
+np
+318.17 464.15 m
+1.38 -0.54 l
+o
+np
+319.55 463.61 m
+5.79 -4.99 l
+o
+np
+325.34 458.62 m
+-2.73 -4.99 l
+o
+np
+322.61 453.63 m
+-4.44 -1.04 l
+o
+np
+318.17 452.59 m
+-29.26 -3.18 l
+o
+np
+288.91 449.41 m
+-6.69 -0.77 l
+o
+np
+282.22 448.64 m
+-22.57 -2.32 l
+o
+np
+259.65 446.32 m
+-26.90 -2.68 l
+o
+np
+232.75 443.64 m
+-2.36 -0.18 l
+o
+np
+230.39 443.46 m
+-29.25 -1.29 l
+o
+np
+201.14 442.17 m
+-29.26 0.83 l
+o
+np
+171.88 443.00 m
+-6.68 0.64 l
+o
+np
+165.20 443.64 m
+-22.58 2.57 l
+o
+np
+142.62 446.21 m
+-11.77 2.43 l
+o
+np
+130.85 448.64 m
+-13.60 4.99 l
+o
+np
+117.25 453.63 m
+-3.89 2.23 l
+o
+np
+286.39 475.92 m
+2.52 -0.43 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+275.45 479.03 m
+0.04 0.21 l
+o
+np
+275.49 479.24 m
+0.29 0.39 l
+o
+np
+275.78 479.63 m
+0.25 0.18 l
+o
+np
+276.03 479.81 m
+0.47 0.14 l
+o
+np
+276.50 479.95 m
+0.85 -0.15 l
+o
+np
+277.35 479.80 m
+0.39 -0.29 l
+o
+np
+277.74 479.51 m
+0.18 -0.25 l
+o
+np
+277.92 479.26 m
+0.14 -0.46 l
+o
+np
+278.06 478.80 m
+-0.07 -0.43 l
+o
+np
+277.99 478.37 m
+-0.29 -0.39 l
+o
+np
+277.70 477.98 m
+-0.54 -0.57 l
+o
+np
+277.16 477.41 m
+-2.51 -1.77 l
+o
+np
+274.65 475.64 m
+3.00 -0.52 l
+o
+np
+282.28 478.95 m
+-2.14 0.37 l
+o
+np
+280.14 479.32 m
+-0.55 -1.89 l
+o
+np
+279.59 477.43 m
+0.25 0.18 l
+o
+np
+279.84 477.61 m
+0.68 0.10 l
+o
+np
+280.52 477.71 m
+0.64 -0.11 l
+o
+np
+281.16 477.60 m
+0.61 -0.33 l
+o
+np
+281.77 477.27 m
+0.35 -0.50 l
+o
+np
+282.12 476.77 m
+0.11 -0.68 l
+o
+np
+282.23 476.09 m
+-0.08 -0.43 l
+o
+np
+282.15 475.66 m
+-0.32 -0.60 l
+o
+np
+281.83 475.06 m
+-0.51 -0.36 l
+o
+np
+281.32 474.70 m
+-0.68 -0.10 l
+o
+np
+280.64 474.60 m
+-0.64 0.11 l
+o
+np
+280.00 474.71 m
+-0.60 0.33 l
+o
+np
+279.40 475.04 m
+-0.18 0.25 l
+o
+np
+279.22 475.29 m
+-0.14 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+113.36 461.50 m
+-1.96 2.11 l
+o
+np
+111.40 463.61 m
+0.17 5.00 l
+o
+np
+111.57 468.61 m
+1.79 1.88 l
+o
+np
+113.36 470.49 m
+3.39 3.11 l
+o
+np
+116.75 473.60 m
+5.19 4.99 l
+o
+np
+121.94 478.59 m
+5.13 4.99 l
+o
+np
+127.07 483.58 m
+15.02 4.99 l
+o
+np
+142.09 488.57 m
+0.53 0.12 l
+o
+np
+142.62 488.69 m
+29.26 1.86 l
+o
+np
+171.88 490.55 m
+29.26 -1.30 l
+o
+np
+201.14 489.25 m
+6.70 -0.68 l
+o
+np
+207.84 488.57 m
+22.55 -4.94 l
+o
+np
+230.39 483.63 m
+0.12 -0.05 l
+o
+np
+248.52 478.59 m
+11.13 -1.83 l
+o
+np
+259.65 476.76 m
+18.39 -3.16 l
+o
+np
+278.04 473.60 m
+9.91 -4.99 l
+o
+np
+287.95 468.61 m
+0.96 -0.70 l
+o
+np
+288.91 467.91 m
+8.92 -4.30 l
+o
+np
+297.83 463.61 m
+9.16 -4.99 l
+o
+np
+306.99 458.62 m
+-7.27 -4.99 l
+o
+np
+299.72 453.63 m
+-10.81 -1.27 l
+o
+np
+288.91 452.36 m
+-29.26 -3.43 l
+o
+np
+259.65 448.93 m
+-2.02 -0.29 l
+o
+np
+257.63 448.64 m
+-27.24 -3.12 l
+o
+np
+230.39 445.52 m
+-29.25 -1.59 l
+o
+np
+201.14 443.93 m
+-29.26 0.75 l
+o
+np
+171.88 444.68 m
+-29.26 3.61 l
+o
+np
+142.62 448.29 m
+-1.70 0.35 l
+o
+np
+140.92 448.64 m
+-15.99 4.99 l
+o
+np
+124.93 453.63 m
+-8.99 4.99 l
+o
+np
+115.94 458.62 m
+-2.58 2.88 l
+o
+np
+245.59 479.40 m
+2.93 -0.81 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+235.52 484.56 m
+2.30 -0.64 l
+o
+np
+237.82 483.92 m
+-1.72 -1.32 l
+o
+np
+236.10 482.60 m
+0.63 -0.18 l
+o
+np
+236.73 482.42 m
+0.36 -0.32 l
+o
+np
+237.09 482.10 m
+0.15 -0.27 l
+o
+np
+237.24 481.83 m
+0.04 -0.69 l
+o
+np
+237.28 481.14 m
+-0.12 -0.42 l
+o
+np
+237.16 480.72 m
+-0.38 -0.57 l
+o
+np
+236.78 480.15 m
+-0.54 -0.30 l
+o
+np
+236.24 479.85 m
+-0.69 -0.04 l
+o
+np
+235.55 479.81 m
+-0.62 0.18 l
+o
+np
+234.93 479.99 m
+-0.57 0.38 l
+o
+np
+234.36 480.37 m
+-0.16 0.27 l
+o
+np
+234.20 480.64 m
+-0.09 0.48 l
+o
+np
+240.54 483.17 m
+-0.68 -0.04 l
+o
+np
+239.86 483.13 m
+-0.60 -0.51 l
+o
+np
+239.26 482.62 m
+-0.50 -0.99 l
+o
+np
+238.76 481.63 m
+-0.17 -0.63 l
+o
+np
+238.59 481.00 m
+-0.08 -1.10 l
+o
+np
+238.51 479.90 m
+0.24 -0.75 l
+o
+np
+238.75 479.15 m
+0.57 -0.38 l
+o
+np
+239.32 478.77 m
+0.42 -0.12 l
+o
+np
+239.74 478.65 m
+0.69 0.04 l
+o
+np
+240.43 478.69 m
+0.59 0.51 l
+o
+np
+241.02 479.20 m
+0.50 0.99 l
+o
+np
+241.52 480.19 m
+0.18 0.63 l
+o
+np
+241.70 480.82 m
+0.08 1.10 l
+o
+np
+241.78 481.92 m
+-0.25 0.75 l
+o
+np
+241.53 482.67 m
+-0.57 0.38 l
+o
+np
+240.96 483.05 m
+-0.42 0.12 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 450.58 m
+-10.00 3.05 l
+o
+np
+132.62 453.63 m
+-9.78 4.99 l
+o
+np
+122.84 458.62 m
+-4.69 4.99 l
+o
+np
+118.15 463.61 m
+0.56 5.00 l
+o
+np
+118.71 468.61 m
+6.35 4.99 l
+o
+np
+125.06 473.60 m
+6.19 4.99 l
+o
+np
+131.25 478.59 m
+6.23 4.99 l
+o
+np
+137.48 483.58 m
+5.14 1.70 l
+o
+np
+171.88 487.04 m
+29.26 -2.71 l
+o
+np
+201.14 484.33 m
+3.67 -0.75 l
+o
+np
+204.81 483.58 m
+23.88 -4.99 l
+o
+np
+228.69 478.59 m
+1.70 -0.23 l
+o
+np
+230.39 478.36 m
+29.10 -4.76 l
+o
+np
+259.49 473.60 m
+0.16 -0.04 l
+o
+np
+259.65 473.56 m
+14.17 -4.95 l
+o
+np
+273.82 468.61 m
+6.02 -5.00 l
+o
+np
+279.84 463.61 m
+7.91 -4.99 l
+o
+np
+287.75 458.62 m
+-10.97 -4.99 l
+o
+np
+276.78 453.63 m
+-17.13 -2.10 l
+o
+np
+259.65 451.53 m
+-20.11 -2.89 l
+o
+np
+239.54 448.64 m
+-9.15 -1.05 l
+o
+np
+230.39 447.59 m
+-29.25 -1.93 l
+o
+np
+201.14 445.66 m
+-29.26 0.65 l
+o
+np
+171.88 446.31 m
+-18.48 2.33 l
+o
+np
+153.40 448.64 m
+-10.78 1.94 l
+o
+np
+158.24 486.22 m
+13.64 0.82 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+147.04 487.83 m
+2.39 0.15 l
+o
+np
+149.43 487.98 m
+-1.20 -1.82 l
+o
+np
+148.23 486.16 m
+0.65 0.04 l
+o
+np
+148.88 486.20 m
+0.45 -0.19 l
+o
+np
+149.33 486.01 m
+0.23 -0.20 l
+o
+np
+149.56 485.81 m
+0.25 -0.64 l
+o
+np
+149.81 485.17 m
+0.03 -0.43 l
+o
+np
+149.84 484.74 m
+-0.18 -0.67 l
+o
+np
+149.66 484.07 m
+-0.41 -0.46 l
+o
+np
+149.25 483.61 m
+-0.63 -0.25 l
+o
+np
+148.62 483.36 m
+-0.66 -0.04 l
+o
+np
+147.96 483.32 m
+-0.66 0.17 l
+o
+np
+147.30 483.49 m
+-0.23 0.21 l
+o
+np
+147.07 483.70 m
+-0.24 0.42 l
+o
+np
+153.55 488.23 m
+-2.17 -0.14 l
+o
+np
+151.38 488.09 m
+-0.10 -1.96 l
+o
+np
+151.28 486.13 m
+0.20 0.23 l
+o
+np
+151.48 486.36 m
+0.64 0.26 l
+o
+np
+152.12 486.62 m
+0.65 0.03 l
+o
+np
+152.77 486.65 m
+0.67 -0.17 l
+o
+np
+153.44 486.48 m
+0.46 -0.41 l
+o
+np
+153.90 486.07 m
+0.25 -0.64 l
+o
+np
+154.15 485.43 m
+0.03 -0.43 l
+o
+np
+154.18 485.00 m
+-0.18 -0.67 l
+o
+np
+154.00 484.33 m
+-0.41 -0.46 l
+o
+np
+153.59 483.87 m
+-0.63 -0.25 l
+o
+np
+152.96 483.62 m
+-0.66 -0.04 l
+o
+np
+152.30 483.58 m
+-0.66 0.18 l
+o
+np
+151.64 483.76 m
+-0.23 0.20 l
+o
+np
+151.41 483.96 m
+-0.24 0.42 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 452.92 m
+-2.31 0.71 l
+o
+np
+140.31 453.63 m
+-10.57 4.99 l
+o
+np
+129.74 458.62 m
+-4.99 4.99 l
+o
+np
+124.75 463.61 m
+1.09 5.00 l
+o
+np
+125.84 468.61 m
+7.53 4.99 l
+o
+np
+133.37 473.60 m
+7.19 4.99 l
+o
+np
+140.56 478.59 m
+2.06 1.52 l
+o
+np
+142.62 480.11 m
+29.26 2.80 l
+o
+np
+171.88 482.91 m
+29.26 -3.80 l
+o
+np
+201.14 479.11 m
+2.49 -0.52 l
+o
+np
+203.63 478.59 m
+26.76 -3.54 l
+o
+np
+230.39 475.05 m
+8.85 -1.45 l
+o
+np
+239.24 473.60 m
+20.41 -4.98 l
+o
+np
+259.65 468.62 m
+0.05 -0.01 l
+o
+np
+259.70 468.61 m
+4.49 -5.00 l
+o
+np
+264.19 463.61 m
+5.19 -4.99 l
+o
+np
+269.38 458.62 m
+-9.73 -3.65 l
+o
+np
+259.65 454.97 m
+-3.24 -1.34 l
+o
+np
+230.39 449.84 m
+-11.95 -1.20 l
+o
+np
+218.44 448.64 m
+-17.30 -1.24 l
+o
+np
+201.14 447.40 m
+-29.26 0.54 l
+o
+np
+171.88 447.94 m
+-5.51 0.70 l
+o
+np
+166.37 448.64 m
+-23.75 4.28 l
+o
+np
+256.41 453.63 m
+-10.53 -1.54 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+236.30 453.00 m
+-1.71 -3.32 l
+o
+np
+234.59 449.68 m
+3.23 0.47 l
+o
+np
+236.30 453.00 m
+0.66 -4.51 l
+o
+np
+239.74 453.51 m
+-0.61 -0.31 l
+o
+np
+239.13 453.20 m
+-0.34 -0.71 l
+o
+np
+238.79 452.49 m
+-0.05 -1.11 l
+o
+np
+238.74 451.38 m
+0.09 -0.64 l
+o
+np
+238.83 450.74 m
+0.37 -1.05 l
+o
+np
+239.20 449.69 m
+0.53 -0.58 l
+o
+np
+239.73 449.11 m
+0.67 -0.12 l
+o
+np
+240.40 448.99 m
+0.43 0.06 l
+o
+np
+240.83 449.05 m
+0.62 0.31 l
+o
+np
+241.45 449.36 m
+0.33 0.71 l
+o
+np
+241.78 450.07 m
+0.06 1.11 l
+o
+np
+241.84 451.18 m
+-0.09 0.64 l
+o
+np
+241.75 451.82 m
+-0.37 1.05 l
+o
+np
+241.38 452.87 m
+-0.53 0.58 l
+o
+np
+240.85 453.45 m
+-0.68 0.12 l
+o
+np
+240.17 453.57 m
+-0.43 -0.06 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 455.86 m
+-5.98 2.76 l
+o
+np
+136.64 458.62 m
+-5.30 4.99 l
+o
+np
+131.34 463.61 m
+1.62 5.00 l
+o
+np
+132.96 468.61 m
+8.72 4.99 l
+o
+np
+141.68 473.60 m
+0.94 0.63 l
+o
+np
+142.62 474.23 m
+29.26 3.51 l
+o
+np
+171.88 477.74 m
+29.26 -2.74 l
+o
+np
+201.14 475.00 m
+11.27 -1.40 l
+o
+np
+230.39 471.17 m
+10.91 -2.56 l
+o
+np
+241.30 468.61 m
+5.84 -5.00 l
+o
+np
+247.14 463.61 m
+4.27 -4.99 l
+o
+np
+251.41 458.62 m
+-11.67 -4.99 l
+o
+np
+239.74 453.63 m
+-9.35 -1.36 l
+o
+np
+230.39 452.27 m
+-29.25 -3.01 l
+o
+np
+201.14 449.26 m
+-29.26 0.53 l
+o
+np
+171.88 449.79 m
+-21.41 3.84 l
+o
+np
+150.47 453.63 m
+-7.85 2.23 l
+o
+np
+227.92 471.50 m
+2.47 -0.33 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+218.96 475.01 m
+-2.56 -2.72 l
+o
+np
+216.40 472.29 m
+3.23 -0.44 l
+o
+np
+218.96 475.01 m
+-0.61 -4.52 l
+o
+np
+223.70 474.37 m
+-2.15 0.29 l
+o
+np
+221.55 474.66 m
+-0.48 -1.90 l
+o
+np
+221.07 472.76 m
+0.24 0.18 l
+o
+np
+221.31 472.94 m
+0.68 0.13 l
+o
+np
+221.99 473.07 m
+0.65 -0.09 l
+o
+np
+222.64 472.98 m
+0.61 -0.30 l
+o
+np
+223.25 472.68 m
+0.38 -0.49 l
+o
+np
+223.63 472.19 m
+0.12 -0.68 l
+o
+np
+223.75 471.51 m
+-0.05 -0.43 l
+o
+np
+223.70 471.08 m
+-0.31 -0.61 l
+o
+np
+223.39 470.47 m
+-0.49 -0.38 l
+o
+np
+222.90 470.09 m
+-0.67 -0.12 l
+o
+np
+222.23 469.97 m
+-0.65 0.08 l
+o
+np
+221.58 470.05 m
+-0.62 0.31 l
+o
+np
+220.96 470.36 m
+-0.18 0.24 l
+o
+np
+220.78 470.60 m
+-0.16 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+142.62 459.41 m
+-4.68 4.20 l
+o
+np
+137.94 463.61 m
+2.14 5.00 l
+o
+np
+140.08 468.61 m
+2.54 1.43 l
+o
+np
+142.62 470.04 m
+29.26 3.40 l
+o
+np
+171.88 473.44 m
+29.26 -2.47 l
+o
+np
+201.14 470.97 m
+17.24 -2.36 l
+o
+np
+218.38 468.61 m
+10.96 -5.00 l
+o
+np
+229.34 463.61 m
+1.05 -0.99 l
+o
+np
+230.39 462.62 m
+3.50 -4.00 l
+o
+np
+233.89 458.62 m
+-3.50 -1.56 l
+o
+np
+230.39 457.06 m
+-8.90 -3.43 l
+o
+np
+201.14 451.44 m
+-29.26 0.36 l
+o
+np
+171.88 451.80 m
+-10.18 1.83 l
+o
+np
+161.70 453.63 m
+-17.27 4.99 l
+o
+np
+144.43 458.62 m
+-1.81 0.79 l
+o
+np
+221.49 453.63 m
+-4.79 -0.52 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+207.59 454.43 m
+-2.16 -0.23 l
+o
+np
+205.43 454.20 m
+-0.01 -1.97 l
+o
+np
+205.42 452.23 m
+0.20 0.24 l
+o
+np
+205.62 452.47 m
+0.62 0.28 l
+o
+np
+206.24 452.75 m
+0.65 0.07 l
+o
+np
+206.89 452.82 m
+0.67 -0.14 l
+o
+np
+207.56 452.68 m
+0.48 -0.39 l
+o
+np
+208.04 452.29 m
+0.29 -0.62 l
+o
+np
+208.33 451.67 m
+0.04 -0.44 l
+o
+np
+208.37 451.23 m
+-0.14 -0.67 l
+o
+np
+208.23 450.56 m
+-0.39 -0.48 l
+o
+np
+207.84 450.08 m
+-0.62 -0.28 l
+o
+np
+207.22 449.80 m
+-0.65 -0.07 l
+o
+np
+206.57 449.73 m
+-0.67 0.14 l
+o
+np
+205.90 449.87 m
+-0.24 0.20 l
+o
+np
+205.66 450.07 m
+-0.27 0.41 l
+o
+np
+210.62 454.76 m
+-0.63 -0.29 l
+o
+np
+209.99 454.47 m
+-0.36 -0.70 l
+o
+np
+209.63 453.77 m
+-0.10 -1.10 l
+o
+np
+209.53 452.67 m
+0.07 -0.65 l
+o
+np
+209.60 452.02 m
+0.33 -1.06 l
+o
+np
+209.93 450.96 m
+0.50 -0.60 l
+o
+np
+210.43 450.36 m
+0.68 -0.14 l
+o
+np
+211.11 450.22 m
+0.43 0.04 l
+o
+np
+211.54 450.26 m
+0.62 0.29 l
+o
+np
+212.16 450.55 m
+0.37 0.69 l
+o
+np
+212.53 451.24 m
+0.10 1.11 l
+o
+np
+212.63 452.35 m
+-0.07 0.65 l
+o
+np
+212.56 453.00 m
+-0.34 1.05 l
+o
+np
+212.22 454.05 m
+-0.50 0.61 l
+o
+np
+211.72 454.66 m
+-0.67 0.14 l
+o
+np
+211.05 454.80 m
+-0.43 -0.04 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+171.88 454.04 m
+-13.94 4.58 l
+o
+np
+157.94 458.62 m
+-9.99 4.99 l
+o
+np
+147.95 463.61 m
+11.31 5.00 l
+o
+np
+159.26 468.61 m
+12.62 1.58 l
+o
+np
+187.68 468.61 m
+13.46 -2.79 l
+o
+np
+201.14 465.82 m
+7.00 -2.21 l
+o
+np
+208.14 463.61 m
+5.95 -4.99 l
+o
+np
+214.09 458.62 m
+-12.89 -4.99 l
+o
+np
+201.20 453.63 m
+-0.06 -0.01 l
+o
+np
+201.14 453.62 m
+-0.96 0.01 l
+o
+np
+200.18 453.63 m
+-28.30 0.41 l
+o
+np
+187.45 468.63 m
+0.23 -0.02 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+178.81 471.79 m
+-2.16 0.21 l
+o
+np
+176.65 472.00 m
+-0.41 -1.92 l
+o
+np
+176.24 470.08 m
+0.23 0.19 l
+o
+np
+176.47 470.27 m
+0.67 0.16 l
+o
+np
+177.14 470.43 m
+0.65 -0.07 l
+o
+np
+177.79 470.36 m
+0.63 -0.28 l
+o
+np
+178.42 470.08 m
+0.39 -0.48 l
+o
+np
+178.81 469.60 m
+0.15 -0.67 l
+o
+np
+178.96 468.93 m
+-0.04 -0.43 l
+o
+np
+178.92 468.50 m
+-0.28 -0.63 l
+o
+np
+178.64 467.87 m
+-0.48 -0.39 l
+o
+np
+178.16 467.48 m
+-0.67 -0.15 l
+o
+np
+177.49 467.33 m
+-0.65 0.07 l
+o
+np
+176.84 467.40 m
+-0.63 0.28 l
+o
+np
+176.21 467.68 m
+-0.19 0.24 l
+o
+np
+176.02 467.92 m
+-0.17 0.45 l
+o
+np
+183.14 471.35 m
+-2.17 0.22 l
+o
+np
+180.97 471.57 m
+-0.41 -1.92 l
+o
+np
+180.56 469.65 m
+0.24 0.19 l
+o
+np
+180.80 469.84 m
+0.67 0.15 l
+o
+np
+181.47 469.99 m
+0.65 -0.06 l
+o
+np
+182.12 469.93 m
+0.63 -0.28 l
+o
+np
+182.75 469.65 m
+0.39 -0.48 l
+o
+np
+183.14 469.17 m
+0.15 -0.67 l
+o
+np
+183.29 468.50 m
+-0.05 -0.43 l
+o
+np
+183.24 468.07 m
+-0.28 -0.63 l
+o
+np
+182.96 467.44 m
+-0.47 -0.39 l
+o
+np
+182.49 467.05 m
+-0.67 -0.15 l
+o
+np
+181.82 466.90 m
+-0.65 0.06 l
+o
+np
+181.17 466.96 m
+-0.63 0.29 l
+o
+np
+180.54 467.25 m
+-0.20 0.23 l
+o
+np
+180.34 467.48 m
+-0.17 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+171.88 458.48 m
+-0.42 0.14 l
+o
+np
+171.46 458.62 m
+-5.21 4.99 l
+o
+np
+166.25 463.61 m
+5.63 1.88 l
+o
+np
+171.88 465.49 m
+9.20 -1.88 l
+o
+np
+181.08 463.61 m
+-6.90 -4.99 l
+o
+np
+174.18 458.62 m
+-2.30 -0.14 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+78.49 428.87 m
+726.89 0 l
+o
+np
+78.49 428.87 m
+0 -2.38 l
+o
+np
+199.64 428.87 m
+0 -2.38 l
+o
+np
+320.79 428.87 m
+0 -2.38 l
+o
+np
+441.94 428.87 m
+0 -2.38 l
+o
+np
+563.09 428.87 m
+0 -2.38 l
+o
+np
+684.24 428.87 m
+0 -2.38 l
+o
+np
+805.38 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+78.49 415.56 (0.00) .5 0 0 t
+199.64 415.56 (0.05) .5 0 0 t
+320.79 415.56 (0.10) .5 0 0 t
+441.94 415.56 (0.15) .5 0 0 t
+563.09 415.56 (0.20) .5 0 0 t
+684.24 415.56 (0.25) .5 0 0 t
+805.38 415.56 (0.30) .5 0 0 t
+np
+56.02 451.45 m
+0 101.36 l
+o
+np
+56.02 451.45 m
+-2.38 0 l
+o
+np
+56.02 476.79 m
+-2.38 0 l
+o
+np
+56.02 502.13 m
+-2.38 0 l
+o
+np
+56.02 527.47 m
+-2.38 0 l
+o
+np
+56.02 552.81 m
+-2.38 0 l
+o
+48.41 451.45 (0.1) .5 0 90 t
+48.41 476.79 (0.2) .5 0 90 t
+48.41 502.13 (0.3) .5 0 90 t
+48.41 527.47 (0.4) .5 0 90 t
+48.41 552.81 (0.5) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+18.00 204.43 823.89 390.85 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+56.02 247.23 606.70 26.05 r p3
+56.02 278.49 128.86 26.05 r p3
+56.02 309.75 52.83 26.05 r p3
+56.02 341.00 12.01 26.05 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+48.41 260.26 (\(0,0\)) .5 0 90 t
+48.41 291.51 (\(0,1\)) .5 0 90 t
+48.41 322.77 (\(1,0\)) .5 0 90 t
+48.41 354.03 (\(1,1\)) .5 0 90 t
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: \(Y1,Y2\)|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 215.83 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 242.44 m
+640.31 0 l
+o
+np
+56.02 242.44 m
+0 -2.37 l
+o
+np
+216.09 242.44 m
+0 -2.37 l
+o
+np
+376.17 242.44 m
+0 -2.37 l
+o
+np
+536.25 242.44 m
+0 -2.37 l
+o
+np
+696.33 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+56.02 229.14 (0) .5 0 0 t
+216.09 229.14 (20) .5 0 0 t
+376.17 229.14 (40) .5 0 0 t
+536.25 229.14 (60) .5 0 0 t
+696.33 229.14 (80) .5 0 0 t
+56.02 56.02 814.39 185.42 cl
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences: Pr\(Y1=k,Y2=l|X1\) - Pr\(Y1=k,Y2=l|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 29.40 (Pr\(Y1 = 1\)) .5 0 0 t
+35.11 120.72 (Pr\(Y2 = 1\)) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+786.30 137.97 m
+-3.21 -2.28 l
+o
+np
+783.09 135.69 m
+-10.01 -4.99 l
+o
+np
+773.08 130.70 m
+-5.17 -4.99 l
+o
+np
+767.91 125.71 m
+-10.87 -2.57 l
+o
+np
+727.78 123.79 m
+-29.26 -0.71 l
+o
+np
+698.52 123.08 m
+-16.31 2.63 l
+o
+np
+682.21 125.71 m
+-12.94 1.96 l
+o
+np
+669.27 127.67 m
+-29.26 1.86 l
+o
+np
+640.01 129.53 m
+-15.06 1.17 l
+o
+np
+624.95 130.70 m
+-14.20 3.63 l
+o
+np
+610.75 134.33 m
+-3.81 1.36 l
+o
+np
+606.94 135.69 m
+-11.55 5.00 l
+o
+np
+595.39 140.69 m
+-12.28 4.99 l
+o
+np
+583.11 145.68 m
+-1.62 1.77 l
+o
+np
+581.49 147.45 m
+-16.90 3.22 l
+o
+np
+564.59 150.67 m
+-12.36 0.75 l
+o
+np
+552.23 151.42 m
+-29.25 -0.56 l
+o
+np
+522.98 150.86 m
+-9.23 4.80 l
+o
+np
+513.75 155.66 m
+3.88 5.00 l
+o
+np
+517.63 160.66 m
+5.35 1.52 l
+o
+np
+522.98 162.18 m
+10.63 3.47 l
+o
+np
+533.61 165.65 m
+16.76 4.99 l
+o
+np
+550.37 170.64 m
+1.86 0.26 l
+o
+np
+552.23 170.90 m
+29.26 1.70 l
+o
+np
+581.49 172.60 m
+29.26 0.65 l
+o
+np
+610.75 173.25 m
+21.57 2.38 l
+o
+np
+632.32 175.63 m
+7.69 0.96 l
+o
+np
+640.01 176.59 m
+29.26 3.23 l
+o
+np
+669.27 179.82 m
+29.25 0.51 l
+o
+np
+698.52 180.33 m
+29.26 0.10 l
+o
+np
+727.78 180.43 m
+29.26 -1.55 l
+o
+np
+757.04 178.88 m
+18.93 -3.25 l
+o
+np
+775.97 175.63 m
+10.33 -4.51 l
+o
+np
+745.74 123.39 m
+-17.96 0.40 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+752.53 125.53 m
+-2.18 0.04 l
+o
+np
+750.35 125.57 m
+-0.26 -1.95 l
+o
+np
+750.09 123.62 m
+0.23 0.22 l
+o
+np
+750.32 123.84 m
+0.65 0.20 l
+o
+np
+750.97 124.04 m
+0.65 -0.02 l
+o
+np
+751.62 124.02 m
+0.65 -0.23 l
+o
+np
+752.27 123.79 m
+0.43 -0.44 l
+o
+np
+752.70 123.35 m
+0.20 -0.66 l
+o
+np
+752.90 122.69 m
+-0.01 -0.43 l
+o
+np
+752.89 122.26 m
+-0.23 -0.65 l
+o
+np
+752.66 121.61 m
+-0.45 -0.43 l
+o
+np
+752.21 121.18 m
+-0.65 -0.20 l
+o
+np
+751.56 120.98 m
+-0.66 0.02 l
+o
+np
+750.90 121.00 m
+-0.64 0.23 l
+o
+np
+750.26 121.23 m
+-0.21 0.22 l
+o
+np
+750.05 121.45 m
+-0.21 0.44 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+786.30 151.65 m
+-0.47 -0.98 l
+o
+np
+785.83 150.67 m
+-1.58 -4.99 l
+o
+np
+784.25 145.68 m
+-4.28 -4.99 l
+o
+np
+779.97 140.69 m
+-11.07 -5.00 l
+o
+np
+768.90 135.69 m
+-11.86 -3.46 l
+o
+np
+757.04 132.23 m
+-25.07 -1.53 l
+o
+np
+731.97 130.70 m
+-4.19 -0.38 l
+o
+np
+727.78 130.32 m
+-4.32 0.38 l
+o
+np
+698.52 132.15 m
+-29.25 2.29 l
+o
+np
+669.27 134.44 m
+-17.36 1.25 l
+o
+np
+651.91 135.69 m
+-10.33 5.00 l
+o
+np
+641.58 140.69 m
+-1.57 0.24 l
+o
+np
+640.01 140.93 m
+-23.78 4.75 l
+o
+np
+616.23 145.68 m
+-5.48 4.46 l
+o
+np
+610.75 150.14 m
+-0.64 0.53 l
+o
+np
+610.11 150.67 m
+-13.12 4.99 l
+o
+np
+596.99 155.66 m
+-6.91 5.00 l
+o
+np
+590.08 160.66 m
+12.67 4.99 l
+o
+np
+602.75 165.65 m
+8.00 1.08 l
+o
+np
+610.75 166.73 m
+11.17 3.91 l
+o
+np
+621.92 170.64 m
+18.09 2.43 l
+o
+np
+640.01 173.07 m
+18.64 2.56 l
+o
+np
+658.65 175.63 m
+10.62 1.35 l
+o
+np
+669.27 176.98 m
+29.25 1.23 l
+o
+np
+698.52 178.21 m
+29.26 0.37 l
+o
+np
+727.78 178.58 m
+29.26 -2.85 l
+o
+np
+757.04 175.73 m
+0.55 -0.10 l
+o
+np
+757.59 175.63 m
+21.03 -4.99 l
+o
+np
+778.62 170.64 m
+6.23 -4.99 l
+o
+np
+784.85 165.65 m
+1.45 -2.41 l
+o
+np
+707.84 131.61 m
+-9.32 0.54 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+712.69 132.74 m
+0.45 0.20 l
+o
+np
+713.14 132.94 m
+0.69 0.61 l
+o
+np
+713.83 133.55 m
+-0.27 -4.56 l
+o
+np
+717.74 133.32 m
+-0.67 -0.18 l
+o
+np
+717.07 133.14 m
+-0.47 -0.62 l
+o
+np
+716.60 132.52 m
+-0.28 -1.08 l
+o
+np
+716.32 131.44 m
+-0.04 -0.65 l
+o
+np
+716.28 130.79 m
+0.16 -1.09 l
+o
+np
+716.44 129.70 m
+0.39 -0.68 l
+o
+np
+716.83 129.02 m
+0.64 -0.26 l
+o
+np
+717.47 128.76 m
+0.43 -0.02 l
+o
+np
+717.90 128.74 m
+0.67 0.18 l
+o
+np
+718.57 128.92 m
+0.47 0.62 l
+o
+np
+719.04 129.54 m
+0.28 1.08 l
+o
+np
+719.32 130.62 m
+0.04 0.65 l
+o
+np
+719.36 131.27 m
+-0.16 1.09 l
+o
+np
+719.20 132.36 m
+-0.39 0.68 l
+o
+np
+718.81 133.04 m
+-0.64 0.26 l
+o
+np
+718.17 133.30 m
+-0.43 0.02 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+640.01 147.42 m
+-9.36 3.25 l
+o
+np
+630.65 150.67 m
+-7.57 4.99 l
+o
+np
+623.08 155.66 m
+-3.76 5.00 l
+o
+np
+619.32 160.66 m
+5.18 4.99 l
+o
+np
+640.01 169.76 m
+3.90 0.88 l
+o
+np
+643.91 170.64 m
+25.36 3.59 l
+o
+np
+669.27 174.23 m
+20.56 1.40 l
+o
+np
+689.83 175.63 m
+8.69 0.47 l
+o
+np
+698.52 176.10 m
+29.26 0.63 l
+o
+np
+727.78 176.73 m
+11.14 -1.10 l
+o
+np
+738.92 175.63 m
+18.12 -1.85 l
+o
+np
+757.04 173.78 m
+13.41 -3.14 l
+o
+np
+770.45 170.64 m
+8.86 -4.99 l
+o
+np
+779.31 165.65 m
+3.64 -4.99 l
+o
+np
+782.95 160.66 m
+0.20 -5.00 l
+o
+np
+783.15 155.66 m
+-2.99 -4.99 l
+o
+np
+780.16 150.67 m
+-2.24 -4.99 l
+o
+np
+777.92 145.68 m
+-6.60 -4.99 l
+o
+np
+771.32 140.69 m
+-14.28 -4.54 l
+o
+np
+757.04 136.15 m
+-6.65 -0.46 l
+o
+np
+750.39 135.69 m
+-22.61 -1.86 l
+o
+np
+727.78 133.83 m
+-23.45 1.86 l
+o
+np
+704.33 135.69 m
+-5.81 0.51 l
+o
+np
+698.52 136.20 m
+-23.17 4.49 l
+o
+np
+675.35 140.69 m
+-6.08 1.76 l
+o
+np
+669.27 142.45 m
+-20.66 3.23 l
+o
+np
+648.61 145.68 m
+-8.60 1.74 l
+o
+np
+624.50 165.65 m
+0.38 0.10 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+629.14 168.34 m
+0.36 0.32 l
+o
+np
+629.50 168.66 m
+0.47 0.80 l
+o
+np
+629.97 169.46 m
+1.17 -4.41 l
+o
+np
+635.01 170.80 m
+-2.10 -0.56 l
+o
+np
+632.91 170.24 m
+0.29 -1.94 l
+o
+np
+633.20 168.30 m
+0.15 0.26 l
+o
+np
+633.35 168.56 m
+0.58 0.38 l
+o
+np
+633.93 168.94 m
+0.63 0.17 l
+o
+np
+634.56 169.11 m
+0.69 -0.05 l
+o
+np
+635.25 169.06 m
+0.53 -0.30 l
+o
+np
+635.78 168.76 m
+0.37 -0.58 l
+o
+np
+636.15 168.18 m
+0.12 -0.42 l
+o
+np
+636.27 167.76 m
+-0.05 -0.68 l
+o
+np
+636.22 167.08 m
+-0.30 -0.54 l
+o
+np
+635.92 166.54 m
+-0.58 -0.37 l
+o
+np
+635.34 166.17 m
+-0.63 -0.17 l
+o
+np
+634.71 166.00 m
+-0.69 0.04 l
+o
+np
+634.02 166.04 m
+-0.26 0.16 l
+o
+np
+633.76 166.20 m
+-0.32 0.36 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+640.01 159.53 m
+-1.48 1.13 l
+o
+np
+638.53 160.66 m
+1.48 3.78 l
+o
+np
+640.01 164.44 m
+0.38 1.21 l
+o
+np
+640.39 165.65 m
+22.35 4.99 l
+o
+np
+662.74 170.64 m
+6.53 0.92 l
+o
+np
+698.52 174.27 m
+29.26 0.82 l
+o
+np
+727.78 175.09 m
+29.26 -3.22 l
+o
+np
+757.04 171.87 m
+5.24 -1.23 l
+o
+np
+762.28 170.64 m
+11.50 -4.99 l
+o
+np
+773.78 165.65 m
+4.50 -4.99 l
+o
+np
+778.28 160.66 m
+0.12 -5.00 l
+o
+np
+778.40 155.66 m
+-3.90 -4.99 l
+o
+np
+774.50 150.67 m
+-2.92 -4.99 l
+o
+np
+771.58 145.68 m
+-8.91 -4.99 l
+o
+np
+762.67 140.69 m
+-5.63 -1.79 l
+o
+np
+757.04 138.90 m
+-29.26 -1.90 l
+o
+np
+727.78 137.00 m
+-29.26 2.85 l
+o
+np
+698.52 139.85 m
+-4.31 0.84 l
+o
+np
+694.21 140.69 m
+-17.60 4.99 l
+o
+np
+676.61 145.68 m
+-7.34 2.28 l
+o
+np
+669.27 147.96 m
+-13.88 2.71 l
+o
+np
+655.39 150.67 m
+-9.90 4.99 l
+o
+np
+645.49 155.66 m
+-5.48 3.87 l
+o
+np
+669.27 171.56 m
+13.67 1.27 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+687.16 174.42 m
+-0.02 0.22 l
+o
+np
+687.14 174.64 m
+0.17 0.45 l
+o
+np
+687.31 175.09 m
+0.20 0.24 l
+o
+np
+687.51 175.33 m
+0.41 0.25 l
+o
+np
+687.92 175.58 m
+0.87 0.08 l
+o
+np
+688.79 175.66 m
+0.45 -0.17 l
+o
+np
+689.24 175.49 m
+0.24 -0.20 l
+o
+np
+689.48 175.29 m
+0.26 -0.41 l
+o
+np
+689.74 174.88 m
+0.04 -0.44 l
+o
+np
+689.78 174.44 m
+-0.18 -0.45 l
+o
+np
+689.60 173.99 m
+-0.37 -0.69 l
+o
+np
+689.23 173.30 m
+-1.97 -2.36 l
+o
+np
+687.26 170.94 m
+3.03 0.28 l
+o
+np
+692.47 176.00 m
+-0.63 -0.27 l
+o
+np
+691.84 175.73 m
+-0.37 -0.69 l
+o
+np
+691.47 175.04 m
+-0.12 -1.11 l
+o
+np
+691.35 173.93 m
+0.06 -0.64 l
+o
+np
+691.41 173.29 m
+0.32 -1.07 l
+o
+np
+691.73 172.22 m
+0.49 -0.61 l
+o
+np
+692.22 171.61 m
+0.67 -0.15 l
+o
+np
+692.89 171.46 m
+0.43 0.04 l
+o
+np
+693.32 171.50 m
+0.63 0.27 l
+o
+np
+693.95 171.77 m
+0.37 0.69 l
+o
+np
+694.32 172.46 m
+0.12 1.11 l
+o
+np
+694.44 173.57 m
+-0.06 0.65 l
+o
+np
+694.38 174.22 m
+-0.32 1.06 l
+o
+np
+694.06 175.28 m
+-0.49 0.61 l
+o
+np
+693.57 175.89 m
+-0.67 0.15 l
+o
+np
+692.90 176.04 m
+-0.43 -0.04 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+669.27 154.57 m
+-3.01 1.09 l
+o
+np
+666.26 155.66 m
+-11.20 5.00 l
+o
+np
+655.06 160.66 m
+0.81 4.99 l
+o
+np
+655.87 165.65 m
+13.40 2.84 l
+o
+np
+669.27 168.49 m
+11.06 2.15 l
+o
+np
+698.52 172.52 m
+29.26 1.23 l
+o
+np
+727.78 173.75 m
+25.36 -3.11 l
+o
+np
+753.14 170.64 m
+3.90 -0.75 l
+o
+np
+757.04 169.89 m
+11.20 -4.24 l
+o
+np
+768.24 165.65 m
+5.37 -4.99 l
+o
+np
+773.61 160.66 m
+0.03 -5.00 l
+o
+np
+773.64 155.66 m
+-4.81 -4.99 l
+o
+np
+768.83 150.67 m
+-3.58 -4.99 l
+o
+np
+765.25 145.68 m
+-8.21 -3.94 l
+o
+np
+757.04 141.74 m
+-17.27 -1.05 l
+o
+np
+739.77 140.69 m
+-11.99 -0.72 l
+o
+np
+727.78 139.97 m
+-6.99 0.72 l
+o
+np
+720.79 140.69 m
+-22.27 3.88 l
+o
+np
+698.52 144.57 m
+-3.93 1.11 l
+o
+np
+694.59 145.68 m
+-17.26 4.99 l
+o
+np
+677.33 150.67 m
+-8.06 3.90 l
+o
+np
+680.33 170.64 m
+2.63 0.27 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+687.16 172.55 m
+-0.02 0.21 l
+o
+np
+687.14 172.76 m
+0.17 0.46 l
+o
+np
+687.31 173.22 m
+0.19 0.24 l
+o
+np
+687.50 173.46 m
+0.41 0.26 l
+o
+np
+687.91 173.72 m
+0.87 0.09 l
+o
+np
+688.78 173.81 m
+0.45 -0.17 l
+o
+np
+689.23 173.64 m
+0.24 -0.20 l
+o
+np
+689.47 173.44 m
+0.26 -0.41 l
+o
+np
+689.73 173.03 m
+0.04 -0.43 l
+o
+np
+689.77 172.60 m
+-0.17 -0.46 l
+o
+np
+689.60 172.14 m
+-0.36 -0.69 l
+o
+np
+689.24 171.45 m
+-1.94 -2.38 l
+o
+np
+687.30 169.07 m
+3.03 0.31 l
+o
+np
+693.75 174.32 m
+-2.16 -0.22 l
+o
+np
+691.59 174.10 m
+-0.02 -1.97 l
+o
+np
+691.57 172.13 m
+0.20 0.24 l
+o
+np
+691.77 172.37 m
+0.62 0.28 l
+o
+np
+692.39 172.65 m
+0.65 0.07 l
+o
+np
+693.04 172.72 m
+0.67 -0.15 l
+o
+np
+693.71 172.57 m
+0.48 -0.39 l
+o
+np
+694.19 172.18 m
+0.28 -0.62 l
+o
+np
+694.47 171.56 m
+0.05 -0.44 l
+o
+np
+694.52 171.12 m
+-0.15 -0.67 l
+o
+np
+694.37 170.45 m
+-0.39 -0.48 l
+o
+np
+693.98 169.97 m
+-0.63 -0.28 l
+o
+np
+693.35 169.69 m
+-0.65 -0.07 l
+o
+np
+692.70 169.62 m
+-0.67 0.15 l
+o
+np
+692.03 169.77 m
+-0.24 0.20 l
+o
+np
+691.79 169.97 m
+-0.26 0.41 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+698.52 149.13 m
+-5.48 1.54 l
+o
+np
+693.04 150.67 m
+-13.88 4.99 l
+o
+np
+679.16 155.66 m
+-8.32 5.00 l
+o
+np
+670.84 160.66 m
+0.21 4.99 l
+o
+np
+671.05 165.65 m
+26.23 4.99 l
+o
+np
+697.28 170.64 m
+1.24 0.13 l
+o
+np
+698.52 170.77 m
+29.26 1.64 l
+o
+np
+757.04 167.79 m
+5.67 -2.14 l
+o
+np
+762.71 165.65 m
+6.23 -4.99 l
+o
+np
+768.94 160.66 m
+-0.05 -5.00 l
+o
+np
+768.89 155.66 m
+-5.72 -4.99 l
+o
+np
+763.17 150.67 m
+-4.25 -4.99 l
+o
+np
+758.92 145.68 m
+-1.88 -0.90 l
+o
+np
+757.04 144.78 m
+-29.26 -1.58 l
+o
+np
+727.78 143.20 m
+-14.30 2.48 l
+o
+np
+713.48 145.68 m
+-14.96 3.45 l
+o
+np
+727.78 172.41 m
+13.80 -2.17 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+746.45 171.78 m
+2.36 -0.38 l
+o
+np
+748.81 171.40 m
+-1.56 -1.51 l
+o
+np
+747.25 169.89 m
+0.64 -0.10 l
+o
+np
+747.89 169.79 m
+0.40 -0.28 l
+o
+np
+748.29 169.51 m
+0.18 -0.25 l
+o
+np
+748.47 169.26 m
+0.11 -0.68 l
+o
+np
+748.58 168.58 m
+-0.07 -0.43 l
+o
+np
+748.51 168.15 m
+-0.31 -0.61 l
+o
+np
+748.20 167.54 m
+-0.50 -0.36 l
+o
+np
+747.70 167.18 m
+-0.68 -0.11 l
+o
+np
+747.02 167.07 m
+-0.64 0.10 l
+o
+np
+746.38 167.17 m
+-0.61 0.31 l
+o
+np
+745.77 167.48 m
+-0.18 0.25 l
+o
+np
+745.59 167.73 m
+-0.15 0.47 l
+o
+np
+751.60 170.96 m
+-0.68 -0.11 l
+o
+np
+750.92 170.85 m
+-0.53 -0.58 l
+o
+np
+750.39 170.27 m
+-0.38 -1.04 l
+o
+np
+750.01 169.23 m
+-0.11 -0.64 l
+o
+np
+749.90 168.59 m
+0.05 -1.11 l
+o
+np
+749.95 167.48 m
+0.33 -0.71 l
+o
+np
+750.28 166.77 m
+0.61 -0.32 l
+o
+np
+750.89 166.45 m
+0.43 -0.06 l
+o
+np
+751.32 166.39 m
+0.67 0.11 l
+o
+np
+751.99 166.50 m
+0.54 0.58 l
+o
+np
+752.53 167.08 m
+0.38 1.04 l
+o
+np
+752.91 168.12 m
+0.10 0.64 l
+o
+np
+753.01 168.76 m
+-0.04 1.11 l
+o
+np
+752.97 169.87 m
+-0.33 0.71 l
+o
+np
+752.64 170.58 m
+-0.61 0.32 l
+o
+np
+752.03 170.90 m
+-0.43 0.06 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+698.52 153.12 m
+-7.79 2.54 l
+o
+np
+690.73 155.66 m
+-7.65 5.00 l
+o
+np
+683.08 160.66 m
+1.17 4.99 l
+o
+np
+684.25 165.65 m
+14.27 2.69 l
+o
+np
+698.52 168.34 m
+21.66 2.30 l
+o
+np
+720.18 170.64 m
+7.60 0.44 l
+o
+np
+727.78 171.08 m
+3.55 -0.44 l
+o
+np
+731.33 170.64 m
+25.71 -4.94 l
+o
+np
+757.04 165.70 m
+0.14 -0.05 l
+o
+np
+757.18 165.65 m
+7.10 -4.99 l
+o
+np
+764.28 160.66 m
+-0.14 -5.00 l
+o
+np
+764.14 155.66 m
+-6.64 -4.99 l
+o
+np
+757.50 150.67 m
+-0.46 -0.52 l
+o
+np
+757.04 150.15 m
+-29.26 -3.61 l
+o
+np
+708.73 150.67 m
+-10.21 2.45 l
+o
+np
+712.49 149.86 m
+-3.76 0.81 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+717.43 151.12 m
+2.34 -0.51 l
+o
+np
+719.77 150.61 m
+-1.64 -1.42 l
+o
+np
+718.13 149.19 m
+0.63 -0.14 l
+o
+np
+718.76 149.05 m
+0.38 -0.30 l
+o
+np
+719.14 148.75 m
+0.17 -0.26 l
+o
+np
+719.31 148.49 m
+0.07 -0.69 l
+o
+np
+719.38 147.80 m
+-0.09 -0.42 l
+o
+np
+719.29 147.38 m
+-0.35 -0.59 l
+o
+np
+718.94 146.79 m
+-0.52 -0.33 l
+o
+np
+718.42 146.46 m
+-0.68 -0.08 l
+o
+np
+717.74 146.38 m
+-0.64 0.14 l
+o
+np
+717.10 146.52 m
+-0.59 0.35 l
+o
+np
+716.51 146.87 m
+-0.17 0.26 l
+o
+np
+716.34 147.13 m
+-0.12 0.47 l
+o
+np
+723.80 149.74 m
+-2.12 0.46 l
+o
+np
+721.68 150.20 m
+-0.63 -1.87 l
+o
+np
+721.05 148.33 m
+0.26 0.17 l
+o
+np
+721.31 148.50 m
+0.68 0.07 l
+o
+np
+721.99 148.57 m
+0.64 -0.14 l
+o
+np
+722.63 148.43 m
+0.59 -0.35 l
+o
+np
+723.22 148.08 m
+0.34 -0.51 l
+o
+np
+723.56 147.57 m
+0.07 -0.69 l
+o
+np
+723.63 146.88 m
+-0.09 -0.42 l
+o
+np
+723.54 146.46 m
+-0.35 -0.59 l
+o
+np
+723.19 145.87 m
+-0.52 -0.34 l
+o
+np
+722.67 145.53 m
+-0.68 -0.07 l
+o
+np
+721.99 145.46 m
+-0.64 0.14 l
+o
+np
+721.35 145.60 m
+-0.59 0.35 l
+o
+np
+720.76 145.95 m
+-0.17 0.26 l
+o
+np
+720.59 146.21 m
+-0.12 0.47 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+698.52 158.43 m
+-3.20 2.23 l
+o
+np
+695.32 160.66 m
+2.14 4.99 l
+o
+np
+697.46 165.65 m
+1.06 0.20 l
+o
+np
+698.52 165.85 m
+29.26 3.65 l
+o
+np
+727.78 169.50 m
+20.46 -3.85 l
+o
+np
+748.24 165.65 m
+8.80 -3.19 l
+o
+np
+757.04 162.46 m
+2.57 -1.80 l
+o
+np
+759.61 160.66 m
+-0.23 -5.00 l
+o
+np
+759.38 155.66 m
+-2.34 -1.74 l
+o
+np
+757.04 153.92 m
+-23.73 -3.25 l
+o
+np
+733.31 150.67 m
+-5.53 -0.73 l
+o
+np
+727.78 149.94 m
+-3.36 0.73 l
+o
+np
+724.42 150.67 m
+-21.83 4.99 l
+o
+np
+702.59 155.66 m
+-4.07 2.77 l
+o
+np
+727.78 152.84 m
+-12.71 2.82 l
+o
+np
+715.07 155.66 m
+-8.42 5.00 l
+o
+np
+706.65 160.66 m
+4.16 4.99 l
+o
+np
+710.81 165.65 m
+16.97 2.15 l
+o
+np
+727.78 167.80 m
+11.45 -2.15 l
+o
+np
+739.23 165.65 m
+12.26 -4.99 l
+o
+np
+751.49 160.66 m
+-4.17 -5.00 l
+o
+np
+747.32 155.66 m
+-19.54 -2.82 l
+o
+np
+727.78 155.61 m
+-0.24 0.05 l
+o
+np
+727.54 155.66 m
+-9.88 5.00 l
+o
+np
+717.66 160.66 m
+6.52 4.99 l
+o
+np
+724.18 165.65 m
+3.60 0.45 l
+o
+np
+727.78 166.10 m
+2.43 -0.45 l
+o
+np
+730.21 165.65 m
+8.93 -4.99 l
+o
+np
+739.14 160.66 m
+-10.99 -5.00 l
+o
+np
+728.15 155.66 m
+-0.37 -0.05 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+109.92 56.02 m
+679.53 0 l
+o
+np
+109.92 56.02 m
+0 -2.38 l
+o
+np
+245.82 56.02 m
+0 -2.38 l
+o
+np
+381.73 56.02 m
+0 -2.38 l
+o
+np
+517.64 56.02 m
+0 -2.38 l
+o
+np
+653.54 56.02 m
+0 -2.38 l
+o
+np
+789.45 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+109.92 42.71 (0.5) .5 0 0 t
+245.82 42.71 (0.6) .5 0 0 t
+381.73 42.71 (0.7) .5 0 0 t
+517.64 42.71 (0.8) .5 0 0 t
+653.54 42.71 (0.9) .5 0 0 t
+789.45 42.71 (1.0) .5 0 0 t
+np
+56.02 60.35 m
+0 107.68 l
+o
+np
+56.02 60.35 m
+-2.38 0 l
+o
+np
+56.02 78.30 m
+-2.38 0 l
+o
+np
+56.02 96.24 m
+-2.38 0 l
+o
+np
+56.02 114.19 m
+-2.38 0 l
+o
+np
+56.02 132.14 m
+-2.38 0 l
+o
+np
+56.02 150.08 m
+-2.38 0 l
+o
+np
+56.02 168.03 m
+-2.38 0 l
+o
+48.41 60.35 (0.3) .5 0 90 t
+48.41 78.30 (0.4) .5 0 90 t
+48.41 96.24 (0.5) .5 0 90 t
+48.41 114.19 (0.6) .5 0 90 t
+48.41 132.14 (0.7) .5 0 90 t
+48.41 150.08 (0.8) .5 0 90 t
+48.41 168.03 (0.9) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 7 7
+bp
+75.60 355.24 809.49 548.48 cl
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 314.92 (Pr\(Y1 = 1\)) .5 0 0 t
+43.92 451.86 (Pr\(Y2 = 1\)) .5 0 90 t
+75.60 355.24 809.49 548.48 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+187.72 444.14 m
+-0.49 0.26 l
+o
+np
+187.23 444.40 m
+-6.30 7.46 l
+o
+np
+180.93 451.86 m
+-3.00 7.45 l
+o
+np
+177.93 459.31 m
+-0.39 7.46 l
+o
+np
+177.54 466.77 m
+3.44 7.45 l
+o
+np
+180.98 474.22 m
+0.56 7.46 l
+o
+np
+181.54 481.68 m
+-6.08 7.45 l
+o
+np
+175.46 489.13 m
+-1.88 7.46 l
+o
+np
+184.89 504.04 m
+2.83 0.87 l
+o
+np
+187.72 504.91 m
+28.32 5.10 l
+o
+np
+216.04 510.01 m
+7.39 1.49 l
+o
+np
+223.43 511.50 m
+20.92 4.69 l
+o
+np
+244.35 516.19 m
+10.38 2.76 l
+o
+np
+254.73 518.95 m
+17.93 3.92 l
+o
+np
+272.66 522.87 m
+28.32 2.14 l
+o
+np
+300.98 525.01 m
+28.31 -1.78 l
+o
+np
+329.29 523.23 m
+28.31 -2.04 l
+o
+np
+357.60 521.19 m
+28.32 1.06 l
+o
+np
+385.92 522.25 m
+28.31 -0.11 l
+o
+np
+414.23 522.14 m
+28.31 -2.46 l
+o
+np
+442.54 519.68 m
+9.51 -0.73 l
+o
+np
+452.05 518.95 m
+18.81 -1.52 l
+o
+np
+470.86 517.43 m
+28.31 -5.72 l
+o
+np
+499.17 511.71 m
+0.66 -0.21 l
+o
+np
+499.83 511.50 m
+19.76 -7.46 l
+o
+np
+519.59 504.04 m
+7.90 -2.69 l
+o
+np
+527.49 501.35 m
+27.56 -4.76 l
+o
+np
+555.05 496.59 m
+0.75 -0.08 l
+o
+np
+555.80 496.51 m
+28.31 -2.55 l
+o
+np
+584.11 493.96 m
+12.93 -4.83 l
+o
+np
+597.04 489.13 m
+3.90 -7.45 l
+o
+np
+600.94 481.68 m
+-7.74 -7.46 l
+o
+np
+593.20 474.22 m
+-3.42 -7.45 l
+o
+np
+589.78 466.77 m
+14.08 -7.46 l
+o
+np
+603.86 459.31 m
+7.69 -7.45 l
+o
+np
+611.55 451.86 m
+-10.00 -7.46 l
+o
+np
+601.55 444.40 m
+-13.99 -7.45 l
+o
+np
+587.56 436.95 m
+-3.45 -2.10 l
+o
+np
+584.11 434.85 m
+-8.49 -5.36 l
+o
+np
+575.62 429.49 m
+-8.57 -7.45 l
+o
+np
+567.05 422.04 m
+-11.25 -3.37 l
+o
+np
+555.80 418.67 m
+-15.29 -4.09 l
+o
+np
+540.51 414.58 m
+-13.02 -2.06 l
+o
+np
+527.49 412.52 m
+-28.32 -2.26 l
+o
+np
+499.17 410.26 m
+-28.31 -0.88 l
+o
+np
+470.86 409.38 m
+-28.32 -0.19 l
+o
+np
+442.54 409.19 m
+-28.31 -0.45 l
+o
+np
+414.23 408.74 m
+-28.31 -0.78 l
+o
+np
+385.92 407.96 m
+-28.32 0.09 l
+o
+np
+357.60 408.05 m
+-28.31 0.95 l
+o
+np
+329.29 409.00 m
+-28.31 0.36 l
+o
+np
+300.98 409.36 m
+-28.32 2.41 l
+o
+np
+272.66 411.77 m
+-12.99 2.81 l
+o
+np
+259.67 414.58 m
+-15.32 5.83 l
+o
+np
+244.35 420.41 m
+-3.72 1.63 l
+o
+np
+240.63 422.04 m
+-17.84 7.45 l
+o
+np
+222.79 429.49 m
+-6.75 3.66 l
+o
+np
+216.04 433.15 m
+-13.24 3.80 l
+o
+np
+202.80 436.95 m
+-15.08 7.19 l
+o
+np
+183.01 502.81 m
+1.88 1.23 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+177.95 502.20 m
+-1.82 -1.19 l
+o
+np
+176.13 501.01 m
+0.90 -1.76 l
+o
+np
+177.03 499.25 m
+0.06 0.30 l
+o
+np
+177.09 499.55 m
+0.42 0.54 l
+o
+np
+177.51 500.09 m
+0.55 0.36 l
+o
+np
+178.06 500.45 m
+0.66 0.18 l
+o
+np
+178.72 500.63 m
+0.60 -0.12 l
+o
+np
+179.32 500.51 m
+0.54 -0.43 l
+o
+np
+179.86 500.08 m
+0.24 -0.36 l
+o
+np
+180.10 499.72 m
+0.18 -0.67 l
+o
+np
+180.28 499.05 m
+-0.12 -0.60 l
+o
+np
+180.16 498.45 m
+-0.43 -0.54 l
+o
+np
+179.73 497.91 m
+-0.54 -0.36 l
+o
+np
+179.19 497.55 m
+-0.67 -0.17 l
+o
+np
+178.52 497.38 m
+-0.30 0.06 l
+o
+np
+178.22 497.44 m
+-0.42 0.24 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+216.04 459.48 m
+-4.48 7.29 l
+o
+np
+211.56 466.77 m
+4.48 4.16 l
+o
+np
+216.04 470.93 m
+3.52 3.29 l
+o
+np
+219.56 474.22 m
+4.15 7.46 l
+o
+np
+223.71 481.68 m
+-7.49 7.45 l
+o
+np
+216.22 489.13 m
+-0.18 2.85 l
+o
+np
+216.04 491.98 m
+-0.43 4.61 l
+o
+np
+215.61 496.59 m
+0.43 0.15 l
+o
+np
+243.20 504.04 m
+1.15 0.24 l
+o
+np
+244.35 504.28 m
+26.25 7.22 l
+o
+np
+270.60 511.50 m
+2.06 0.55 l
+o
+np
+272.66 512.05 m
+28.32 4.14 l
+o
+np
+300.98 516.19 m
+28.31 -0.64 l
+o
+np
+329.29 515.55 m
+28.31 -1.26 l
+o
+np
+357.60 514.29 m
+28.32 -0.22 l
+o
+np
+385.92 514.07 m
+28.31 -0.35 l
+o
+np
+414.23 513.72 m
+21.33 -2.22 l
+o
+np
+435.56 511.50 m
+6.98 -0.89 l
+o
+np
+442.54 510.61 m
+24.27 -6.57 l
+o
+np
+466.81 504.04 m
+4.05 -1.50 l
+o
+np
+470.86 502.54 m
+18.29 -5.95 l
+o
+np
+489.15 496.59 m
+10.02 -3.37 l
+o
+np
+499.17 493.22 m
+17.10 -4.09 l
+o
+np
+516.27 489.13 m
+11.22 -2.54 l
+o
+np
+527.49 486.59 m
+28.31 -2.77 l
+o
+np
+555.80 483.82 m
+6.23 -2.14 l
+o
+np
+562.03 481.68 m
+-2.82 -7.46 l
+o
+np
+559.21 474.22 m
+-3.41 -4.06 l
+o
+np
+555.80 470.16 m
+-2.30 -3.39 l
+o
+np
+553.50 466.77 m
+0.93 -7.46 l
+o
+np
+554.43 459.31 m
+-1.65 -7.45 l
+o
+np
+552.78 451.86 m
+-6.67 -7.46 l
+o
+np
+546.11 444.40 m
+-14.52 -7.45 l
+o
+np
+531.59 436.95 m
+-4.10 -3.49 l
+o
+np
+527.49 433.46 m
+-4.48 -3.97 l
+o
+np
+523.01 429.49 m
+-15.20 -7.45 l
+o
+np
+507.81 422.04 m
+-8.64 -1.57 l
+o
+np
+499.17 420.47 m
+-28.31 -1.85 l
+o
+np
+470.86 418.62 m
+-28.32 1.47 l
+o
+np
+442.54 420.09 m
+-28.31 0.19 l
+o
+np
+414.23 420.28 m
+-28.31 -2.64 l
+o
+np
+385.92 417.64 m
+-28.32 -0.42 l
+o
+np
+357.60 417.22 m
+-28.31 1.32 l
+o
+np
+329.29 418.54 m
+-28.31 1.88 l
+o
+np
+300.98 420.42 m
+-8.82 1.62 l
+o
+np
+292.16 422.04 m
+-19.50 3.70 l
+o
+np
+272.66 425.74 m
+-11.53 3.75 l
+o
+np
+261.13 429.49 m
+-13.83 7.46 l
+o
+np
+247.30 436.95 m
+-2.95 4.10 l
+o
+np
+244.35 441.05 m
+-4.04 3.35 l
+o
+np
+240.31 444.40 m
+-11.12 7.46 l
+o
+np
+229.19 451.86 m
+-13.03 7.45 l
+o
+np
+216.16 459.31 m
+-0.12 0.17 l
+o
+np
+231.15 500.80 m
+12.05 3.24 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+220.29 499.35 m
+0.36 0.32 l
+o
+np
+220.65 499.67 m
+0.46 0.80 l
+o
+np
+221.11 500.47 m
+1.19 -4.41 l
+o
+np
+224.89 501.48 m
+-0.57 -0.38 l
+o
+np
+224.32 501.10 m
+-0.26 -0.74 l
+o
+np
+224.06 500.36 m
+0.08 -1.10 l
+o
+np
+224.14 499.26 m
+0.17 -0.63 l
+o
+np
+224.31 498.63 m
+0.49 -1.00 l
+o
+np
+224.80 497.63 m
+0.59 -0.51 l
+o
+np
+225.39 497.12 m
+0.68 -0.04 l
+o
+np
+226.07 497.08 m
+0.42 0.11 l
+o
+np
+226.49 497.19 m
+0.58 0.38 l
+o
+np
+227.07 497.57 m
+0.25 0.74 l
+o
+np
+227.32 498.31 m
+-0.07 1.11 l
+o
+np
+227.25 499.42 m
+-0.17 0.63 l
+o
+np
+227.08 500.05 m
+-0.50 0.99 l
+o
+np
+226.58 501.04 m
+-0.59 0.52 l
+o
+np
+225.99 501.56 m
+-0.68 0.04 l
+o
+np
+225.31 501.60 m
+-0.42 -0.12 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+244.35 465.08 m
+-2.49 1.69 l
+o
+np
+241.86 466.77 m
+2.49 1.99 l
+o
+np
+244.35 468.76 m
+5.51 5.46 l
+o
+np
+249.86 474.22 m
+1.56 7.46 l
+o
+np
+251.42 481.68 m
+-6.78 7.45 l
+o
+np
+244.64 489.13 m
+11.78 7.46 l
+o
+np
+272.66 499.86 m
+24.37 4.18 l
+o
+np
+297.03 504.04 m
+3.95 1.02 l
+o
+np
+300.98 505.06 m
+28.31 3.52 l
+o
+np
+329.29 508.58 m
+28.31 0.14 l
+o
+np
+357.60 508.72 m
+28.32 -0.41 l
+o
+np
+385.92 508.31 m
+28.31 -0.84 l
+o
+np
+414.23 507.47 m
+20.29 -3.43 l
+o
+np
+434.52 504.04 m
+8.02 -1.95 l
+o
+np
+442.54 502.09 m
+16.07 -5.50 l
+o
+np
+458.61 496.59 m
+12.25 -3.63 l
+o
+np
+470.86 492.96 m
+12.44 -3.83 l
+o
+np
+483.30 489.13 m
+15.87 -6.04 l
+o
+np
+499.17 483.09 m
+6.05 -1.41 l
+o
+np
+505.22 481.68 m
+16.57 -7.46 l
+o
+np
+521.79 474.22 m
+5.70 -7.43 l
+o
+np
+527.49 466.79 m
+0.01 -0.02 l
+o
+np
+527.50 466.77 m
+5.13 -7.46 l
+o
+np
+532.63 459.31 m
+-4.77 -7.45 l
+o
+np
+527.86 451.86 m
+-0.37 -0.21 l
+o
+np
+527.49 451.65 m
+-24.42 -7.25 l
+o
+np
+503.07 444.40 m
+-3.90 -1.10 l
+o
+np
+499.17 443.30 m
+-28.31 -5.83 l
+o
+np
+470.86 437.47 m
+-4.41 -0.52 l
+o
+np
+466.45 436.95 m
+-23.91 -3.39 l
+o
+np
+442.54 433.56 m
+-28.31 -2.40 l
+o
+np
+414.23 431.16 m
+-11.23 -1.67 l
+o
+np
+403.00 429.49 m
+-17.08 -2.87 l
+o
+np
+385.92 426.62 m
+-28.32 -1.75 l
+o
+np
+357.60 424.87 m
+-28.31 1.58 l
+o
+np
+329.29 426.45 m
+-22.25 3.04 l
+o
+np
+307.04 429.49 m
+-6.06 0.93 l
+o
+np
+300.98 430.42 m
+-23.75 6.53 l
+o
+np
+277.23 436.95 m
+-4.57 5.37 l
+o
+np
+272.66 442.32 m
+-1.71 2.08 l
+o
+np
+270.95 444.40 m
+-2.33 7.46 l
+o
+np
+268.62 451.86 m
+-14.51 7.45 l
+o
+np
+254.11 459.31 m
+-9.76 5.77 l
+o
+np
+271.76 499.68 m
+0.90 0.18 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+260.82 498.92 m
+0.39 0.30 l
+o
+np
+261.21 499.22 m
+0.51 0.77 l
+o
+np
+261.72 499.99 m
+0.90 -4.48 l
+o
+np
+266.83 501.02 m
+-2.13 -0.43 l
+o
+np
+264.70 500.59 m
+0.17 -1.96 l
+o
+np
+264.87 498.63 m
+0.17 0.25 l
+o
+np
+265.04 498.88 m
+0.60 0.34 l
+o
+np
+265.64 499.22 m
+0.64 0.13 l
+o
+np
+266.28 499.35 m
+0.68 -0.08 l
+o
+np
+266.96 499.27 m
+0.51 -0.34 l
+o
+np
+267.47 498.93 m
+0.35 -0.60 l
+o
+np
+267.82 498.33 m
+0.08 -0.42 l
+o
+np
+267.90 497.91 m
+-0.08 -0.69 l
+o
+np
+267.82 497.22 m
+-0.34 -0.51 l
+o
+np
+267.48 496.71 m
+-0.60 -0.34 l
+o
+np
+266.88 496.37 m
+-0.64 -0.13 l
+o
+np
+266.24 496.24 m
+-0.68 0.09 l
+o
+np
+265.56 496.33 m
+-0.26 0.17 l
+o
+np
+265.30 496.50 m
+-0.29 0.38 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+272.66 466.51 m
+-0.49 0.26 l
+o
+np
+272.17 466.77 m
+0.49 1.64 l
+o
+np
+272.66 468.41 m
+1.11 5.81 l
+o
+np
+273.77 474.22 m
+-1.11 6.09 l
+o
+np
+272.66 480.31 m
+-0.27 1.37 l
+o
+np
+272.39 481.68 m
+-1.51 7.45 l
+o
+np
+270.88 489.13 m
+1.78 0.70 l
+o
+np
+272.66 489.83 m
+28.32 6.39 l
+o
+np
+300.98 496.22 m
+2.34 0.37 l
+o
+np
+329.29 501.25 m
+28.31 2.08 l
+o
+np
+357.60 503.33 m
+28.32 -0.48 l
+o
+np
+385.92 502.85 m
+28.31 -1.91 l
+o
+np
+414.23 500.94 m
+17.66 -4.35 l
+o
+np
+431.89 496.59 m
+10.65 -2.29 l
+o
+np
+442.54 494.30 m
+17.75 -5.17 l
+o
+np
+460.29 489.13 m
+10.57 -3.01 l
+o
+np
+470.86 486.12 m
+12.95 -4.44 l
+o
+np
+483.81 481.68 m
+13.29 -7.46 l
+o
+np
+497.10 474.22 m
+2.07 -1.64 l
+o
+np
+499.17 472.58 m
+9.50 -5.81 l
+o
+np
+508.67 466.77 m
+5.06 -7.46 l
+o
+np
+513.73 459.31 m
+-10.98 -7.45 l
+o
+np
+502.75 451.86 m
+-3.58 -1.01 l
+o
+np
+499.17 450.85 m
+-28.31 -4.61 l
+o
+np
+470.86 446.24 m
+-13.20 -1.84 l
+o
+np
+457.66 444.40 m
+-15.12 -2.52 l
+o
+np
+442.54 441.88 m
+-28.31 -3.51 l
+o
+np
+414.23 438.37 m
+-11.45 -1.42 l
+o
+np
+402.78 436.95 m
+-16.86 -2.73 l
+o
+np
+385.92 434.22 m
+-28.32 -2.78 l
+o
+np
+357.60 431.44 m
+-28.31 1.57 l
+o
+np
+329.29 433.01 m
+-21.58 3.94 l
+o
+np
+307.71 436.95 m
+-6.73 2.72 l
+o
+np
+300.98 439.67 m
+-7.77 4.73 l
+o
+np
+293.21 444.40 m
+-1.34 7.46 l
+o
+np
+291.87 451.86 m
+-7.74 7.45 l
+o
+np
+284.13 459.31 m
+-11.47 7.20 l
+o
+np
+303.32 496.59 m
+10.57 1.89 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+317.95 500.43 m
+-0.03 0.21 l
+o
+np
+317.92 500.64 m
+0.13 0.47 l
+o
+np
+318.05 501.11 m
+0.18 0.25 l
+o
+np
+318.23 501.36 m
+0.39 0.29 l
+o
+np
+318.62 501.65 m
+0.85 0.16 l
+o
+np
+319.47 501.81 m
+0.47 -0.14 l
+o
+np
+319.94 501.67 m
+0.25 -0.17 l
+o
+np
+320.19 501.50 m
+0.29 -0.39 l
+o
+np
+320.48 501.11 m
+0.08 -0.43 l
+o
+np
+320.56 500.68 m
+-0.14 -0.47 l
+o
+np
+320.42 500.21 m
+-0.31 -0.72 l
+o
+np
+320.11 499.49 m
+-1.76 -2.52 l
+o
+np
+318.35 496.97 m
+3.00 0.54 l
+o
+np
+323.11 502.46 m
+-0.60 -0.33 l
+o
+np
+322.51 502.13 m
+-0.32 -0.72 l
+o
+np
+322.19 501.41 m
+-0.02 -1.10 l
+o
+np
+322.17 500.31 m
+0.12 -0.65 l
+o
+np
+322.29 499.66 m
+0.40 -1.03 l
+o
+np
+322.69 498.63 m
+0.55 -0.56 l
+o
+np
+323.24 498.07 m
+0.68 -0.10 l
+o
+np
+323.92 497.97 m
+0.43 0.08 l
+o
+np
+324.35 498.05 m
+0.60 0.32 l
+o
+np
+324.95 498.37 m
+0.31 0.72 l
+o
+np
+325.26 499.09 m
+0.02 1.11 l
+o
+np
+325.28 500.20 m
+-0.11 0.64 l
+o
+np
+325.17 500.84 m
+-0.41 1.03 l
+o
+np
+324.76 501.87 m
+-0.54 0.57 l
+o
+np
+324.22 502.44 m
+-0.68 0.10 l
+o
+np
+323.54 502.54 m
+-0.43 -0.08 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+300.98 465.05 m
+-2.55 1.72 l
+o
+np
+298.43 466.77 m
+-5.54 7.45 l
+o
+np
+292.89 474.22 m
+-3.65 7.46 l
+o
+np
+289.24 481.68 m
+6.56 7.45 l
+o
+np
+295.80 489.13 m
+5.18 1.23 l
+o
+np
+300.98 490.36 m
+28.31 4.51 l
+o
+np
+329.29 494.87 m
+21.13 1.72 l
+o
+np
+350.42 496.59 m
+7.18 0.64 l
+o
+np
+381.25 496.59 m
+4.67 -0.16 l
+o
+np
+385.92 496.43 m
+28.31 -2.79 l
+o
+np
+414.23 493.64 m
+21.70 -4.51 l
+o
+np
+435.93 489.13 m
+6.61 -1.02 l
+o
+np
+442.54 488.11 m
+22.79 -6.43 l
+o
+np
+465.33 481.68 m
+5.53 -1.97 l
+o
+np
+470.86 479.71 m
+11.67 -5.49 l
+o
+np
+482.53 474.22 m
+9.43 -7.45 l
+o
+np
+491.96 466.77 m
+3.32 -7.46 l
+o
+np
+495.28 459.31 m
+-24.42 -7.37 l
+o
+np
+470.86 451.94 m
+-0.43 -0.08 l
+o
+np
+470.43 451.86 m
+-27.89 -4.24 l
+o
+np
+442.54 447.62 m
+-23.55 -3.22 l
+o
+np
+418.99 444.40 m
+-4.76 -0.68 l
+o
+np
+414.23 443.72 m
+-28.31 -2.90 l
+o
+np
+385.92 440.82 m
+-28.32 -3.25 l
+o
+np
+357.60 437.57 m
+-28.31 2.78 l
+o
+np
+329.29 440.35 m
+-10.99 4.05 l
+o
+np
+318.30 444.40 m
+-1.13 7.46 l
+o
+np
+317.17 451.86 m
+-5.37 7.45 l
+o
+np
+311.80 459.31 m
+-10.82 5.74 l
+o
+np
+373.25 496.81 m
+8.00 -0.22 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+361.98 498.31 m
+0.01 0.22 l
+o
+np
+361.99 498.53 m
+0.23 0.42 l
+o
+np
+362.22 498.95 m
+0.22 0.22 l
+o
+np
+362.44 499.17 m
+0.44 0.20 l
+o
+np
+362.88 499.37 m
+0.87 -0.02 l
+o
+np
+363.75 499.35 m
+0.43 -0.23 l
+o
+np
+364.18 499.12 m
+0.21 -0.22 l
+o
+np
+364.39 498.90 m
+0.21 -0.45 l
+o
+np
+364.60 498.45 m
+-0.02 -0.43 l
+o
+np
+364.58 498.02 m
+-0.23 -0.43 l
+o
+np
+364.35 497.59 m
+-0.45 -0.64 l
+o
+np
+363.90 496.95 m
+-2.23 -2.11 l
+o
+np
+361.67 494.84 m
+3.04 -0.09 l
+o
+np
+368.75 499.21 m
+-2.18 0.06 l
+o
+np
+366.57 499.27 m
+-0.27 -1.95 l
+o
+np
+366.30 497.32 m
+0.23 0.21 l
+o
+np
+366.53 497.53 m
+0.66 0.20 l
+o
+np
+367.19 497.73 m
+0.65 -0.02 l
+o
+np
+367.84 497.71 m
+0.64 -0.23 l
+o
+np
+368.48 497.48 m
+0.43 -0.45 l
+o
+np
+368.91 497.03 m
+0.20 -0.66 l
+o
+np
+369.11 496.37 m
+-0.02 -0.43 l
+o
+np
+369.09 495.94 m
+-0.23 -0.65 l
+o
+np
+368.86 495.29 m
+-0.45 -0.42 l
+o
+np
+368.41 494.87 m
+-0.66 -0.20 l
+o
+np
+367.75 494.67 m
+-0.65 0.02 l
+o
+np
+367.10 494.69 m
+-0.64 0.23 l
+o
+np
+366.46 494.92 m
+-0.21 0.23 l
+o
+np
+366.25 495.15 m
+-0.21 0.44 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+329.29 470.66 m
+-7.40 3.56 l
+o
+np
+321.89 474.22 m
+-11.60 7.46 l
+o
+np
+310.29 481.68 m
+17.76 7.45 l
+o
+np
+328.05 489.13 m
+1.24 0.20 l
+o
+np
+329.29 489.33 m
+28.31 1.05 l
+o
+np
+357.60 490.38 m
+22.90 -1.25 l
+o
+np
+380.50 489.13 m
+5.42 -0.34 l
+o
+np
+414.23 486.86 m
+28.31 -4.18 l
+o
+np
+442.54 482.68 m
+3.54 -1.00 l
+o
+np
+446.08 481.68 m
+21.60 -7.46 l
+o
+np
+467.68 474.22 m
+3.18 -2.28 l
+o
+np
+470.86 471.94 m
+6.55 -5.17 l
+o
+np
+477.41 466.77 m
+-2.40 -7.46 l
+o
+np
+475.01 459.31 m
+-4.15 -1.25 l
+o
+np
+470.86 458.06 m
+-28.32 -5.39 l
+o
+np
+442.54 452.67 m
+-6.58 -0.81 l
+o
+np
+435.96 451.86 m
+-21.73 -2.90 l
+o
+np
+414.23 448.96 m
+-28.31 -1.06 l
+o
+np
+385.92 447.90 m
+-28.32 3.64 l
+o
+np
+357.60 451.54 m
+-0.48 0.32 l
+o
+np
+357.12 451.86 m
+-9.07 7.45 l
+o
+np
+348.05 459.31 m
+-9.91 7.46 l
+o
+np
+338.14 466.77 m
+-8.85 3.89 l
+o
+np
+401.53 487.72 m
+12.70 -0.86 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+390.63 490.76 m
+2.38 -0.17 l
+o
+np
+393.01 490.59 m
+-1.42 -1.64 l
+o
+np
+391.59 488.95 m
+0.65 -0.05 l
+o
+np
+392.24 488.90 m
+0.42 -0.24 l
+o
+np
+392.66 488.66 m
+0.20 -0.23 l
+o
+np
+392.86 488.43 m
+0.18 -0.67 l
+o
+np
+393.04 487.76 m
+-0.03 -0.43 l
+o
+np
+393.01 487.33 m
+-0.26 -0.64 l
+o
+np
+392.75 486.69 m
+-0.47 -0.40 l
+o
+np
+392.28 486.29 m
+-0.66 -0.18 l
+o
+np
+391.62 486.11 m
+-0.65 0.05 l
+o
+np
+390.97 486.16 m
+-0.64 0.26 l
+o
+np
+390.33 486.42 m
+-0.20 0.23 l
+o
+np
+390.13 486.65 m
+-0.19 0.45 l
+o
+np
+395.83 490.40 m
+-0.66 -0.17 l
+o
+np
+395.17 490.23 m
+-0.48 -0.62 l
+o
+np
+394.69 489.61 m
+-0.29 -1.07 l
+o
+np
+394.40 488.54 m
+-0.05 -0.65 l
+o
+np
+394.35 487.89 m
+0.15 -1.10 l
+o
+np
+394.50 486.79 m
+0.38 -0.68 l
+o
+np
+394.88 486.11 m
+0.64 -0.26 l
+o
+np
+395.52 485.85 m
+0.43 -0.03 l
+o
+np
+395.95 485.82 m
+0.67 0.17 l
+o
+np
+396.62 485.99 m
+0.48 0.62 l
+o
+np
+397.10 486.61 m
+0.29 1.07 l
+o
+np
+397.39 487.68 m
+0.04 0.65 l
+o
+np
+397.43 488.33 m
+-0.14 1.10 l
+o
+np
+397.29 489.43 m
+-0.39 0.68 l
+o
+np
+396.90 490.11 m
+-0.63 0.26 l
+o
+np
+396.27 490.37 m
+-0.44 0.03 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+385.92 455.98 m
+-9.91 3.33 l
+o
+np
+376.01 459.31 m
+-8.90 7.46 l
+o
+np
+367.11 466.77 m
+-0.27 7.45 l
+o
+np
+366.84 474.22 m
+19.08 6.42 l
+o
+np
+385.92 480.64 m
+28.31 0.30 l
+o
+np
+442.54 477.29 m
+9.13 -3.07 l
+o
+np
+451.67 474.22 m
+10.20 -7.45 l
+o
+np
+461.87 466.77 m
+-10.35 -7.46 l
+o
+np
+451.52 459.31 m
+-8.98 -1.79 l
+o
+np
+442.54 457.52 m
+-28.31 -3.33 l
+o
+np
+414.23 454.19 m
+-28.31 1.79 l
+o
+np
+429.75 478.94 m
+12.79 -1.65 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+419.05 482.62 m
+2.37 -0.31 l
+o
+np
+421.42 482.31 m
+-1.51 -1.56 l
+o
+np
+419.91 480.75 m
+0.64 -0.08 l
+o
+np
+420.55 480.67 m
+0.41 -0.27 l
+o
+np
+420.96 480.40 m
+0.18 -0.24 l
+o
+np
+421.14 480.16 m
+0.14 -0.68 l
+o
+np
+421.28 479.48 m
+-0.06 -0.43 l
+o
+np
+421.22 479.05 m
+-0.30 -0.62 l
+o
+np
+420.92 478.43 m
+-0.49 -0.37 l
+o
+np
+420.43 478.06 m
+-0.67 -0.14 l
+o
+np
+419.76 477.92 m
+-0.65 0.09 l
+o
+np
+419.11 478.01 m
+-0.62 0.30 l
+o
+np
+418.49 478.31 m
+-0.18 0.24 l
+o
+np
+418.31 478.55 m
+-0.16 0.46 l
+o
+np
+425.52 481.78 m
+-2.16 0.28 l
+o
+np
+423.36 482.06 m
+-0.46 -1.91 l
+o
+np
+422.90 480.15 m
+0.24 0.19 l
+o
+np
+423.14 480.34 m
+0.67 0.13 l
+o
+np
+423.81 480.47 m
+0.65 -0.08 l
+o
+np
+424.46 480.39 m
+0.62 -0.30 l
+o
+np
+425.08 480.09 m
+0.38 -0.49 l
+o
+np
+425.46 479.60 m
+0.13 -0.67 l
+o
+np
+425.59 478.93 m
+-0.06 -0.44 l
+o
+np
+425.53 478.49 m
+-0.30 -0.61 l
+o
+np
+425.23 477.88 m
+-0.48 -0.38 l
+o
+np
+424.75 477.50 m
+-0.68 -0.13 l
+o
+np
+424.07 477.37 m
+-0.65 0.08 l
+o
+np
+423.42 477.45 m
+-0.61 0.30 l
+o
+np
+422.81 477.75 m
+-0.19 0.24 l
+o
+np
+422.62 477.99 m
+-0.16 0.46 l
+o
+0.75 setlinewidth
+[] 0 setdash
+np
+385.92 466.66 m
+-0.16 0.11 l
+o
+np
+385.76 466.77 m
+0.16 0.20 l
+o
+np
+401.64 474.22 m
+12.59 1.30 l
+o
+np
+414.23 475.52 m
+10.12 -1.30 l
+o
+np
+424.35 474.22 m
+18.19 -5.24 l
+o
+np
+442.54 468.98 m
+2.98 -2.21 l
+o
+np
+445.52 466.77 m
+-2.98 -1.67 l
+o
+np
+442.54 465.10 m
+-28.31 -5.59 l
+o
+np
+414.23 459.51 m
+-28.31 7.15 l
+o
+np
+400.13 473.52 m
+1.51 0.70 l
+o
+0.23 setlinewidth
+[] 0 setdash
+np
+390.69 471.69 m
+-0.70 -3.68 l
+o
+np
+389.99 468.01 m
+2.96 1.37 l
+o
+np
+390.69 471.69 m
+1.91 -4.15 l
+o
+np
+393.84 473.14 m
+-0.50 -0.47 l
+o
+np
+393.34 472.67 m
+-0.12 -0.77 l
+o
+np
+393.22 471.90 m
+0.26 -1.08 l
+o
+np
+393.48 470.82 m
+0.27 -0.59 l
+o
+np
+393.75 470.23 m
+0.65 -0.90 l
+o
+np
+394.40 469.33 m
+0.67 -0.41 l
+o
+np
+395.07 468.92 m
+0.69 0.08 l
+o
+np
+395.76 469.00 m
+0.39 0.18 l
+o
+np
+396.15 469.18 m
+0.50 0.47 l
+o
+np
+396.65 469.65 m
+0.12 0.77 l
+o
+np
+396.77 470.42 m
+-0.25 1.08 l
+o
+np
+396.52 471.50 m
+-0.28 0.59 l
+o
+np
+396.24 472.09 m
+-0.65 0.90 l
+o
+np
+395.59 472.99 m
+-0.67 0.41 l
+o
+np
+394.92 473.40 m
+-0.68 -0.08 l
+o
+np
+394.24 473.32 m
+-0.40 -0.18 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+78.28 355.24 m
+729.09 0 l
+o
+np
+78.28 355.24 m
+0 -3.60 l
+o
+np
+260.56 355.24 m
+0 -3.60 l
+o
+np
+442.83 355.24 m
+0 -3.60 l
+o
+np
+625.10 355.24 m
+0 -3.60 l
+o
+np
+807.37 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+78.28 335.08 (0.2) .5 0 0 t
+260.56 335.08 (0.3) .5 0 0 t
+442.83 335.08 (0.4) .5 0 0 t
+625.10 335.08 (0.5) .5 0 0 t
+807.37 335.08 (0.6) .5 0 0 t
+np
+75.60 383.18 m
+0 126.12 l
+o
+np
+75.60 383.18 m
+-3.60 0 l
+o
+np
+75.60 425.22 m
+-3.60 0 l
+o
+np
+75.60 467.26 m
+-3.60 0 l
+o
+np
+75.60 509.30 m
+-3.60 0 l
+o
+64.08 383.18 (0.4) .5 0 90 t
+64.08 425.22 (0.5) .5 0 90 t
+64.08 467.26 (0.6) .5 0 90 t
+64.08 509.30 (0.7) .5 0 90 t
+np
+75.60 355.24 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+18.00 18.00 823.89 297.64 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+75.60 82.76 350.18 38.90 r p3
+75.60 129.43 587.11 38.90 r p3
+75.60 176.11 244.38 38.90 r p3
+75.60 222.78 308.46 38.90 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+64.08 102.21 (\(0,0\)) .5 0 90 t
+64.08 148.88 (\(0,1\)) .5 0 90 t
+64.08 195.56 (\(1,0\)) .5 0 90 t
+64.08 242.23 (\(1,1\)) .5 0 90 t
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Predicted Values: \(Y1,Y2\)|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 35.28 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 75.60 m
+596.05 0 l
+o
+np
+75.60 75.60 m
+0 -3.60 l
+o
+np
+224.61 75.60 m
+0 -3.60 l
+o
+np
+373.63 75.60 m
+0 -3.60 l
+o
+np
+522.64 75.60 m
+0 -3.60 l
+o
+np
+671.65 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+75.60 55.44 (0) .5 0 0 t
+224.61 55.44 (10) .5 0 0 t
+373.63 55.44 (20) .5 0 0 t
+522.64 55.44 (30) .5 0 0 t
+671.65 55.44 (40) .5 0 0 t
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 8 8
+bp
+56.02 428.87 814.39 558.27 cl
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 433.66 m
+1.38 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.08 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.09 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.07 l
+1.37 0.07 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.06 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.06 l
+1.38 0.07 l
+1.37 0.07 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.10 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.12 l
+1.38 0.13 l
+1.37 0.15 l
+1.37 0.15 l
+1.38 0.16 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.21 l
+1.38 0.22 l
+1.37 0.24 l
+1.37 0.26 l
+1.38 0.28 l
+1.37 0.30 l
+1.38 0.32 l
+1.37 0.35 l
+1.37 0.37 l
+1.38 0.39 l
+1.37 0.41 l
+1.38 0.45 l
+1.37 0.47 l
+1.38 0.49 l
+1.37 0.52 l
+1.37 0.54 l
+1.38 0.57 l
+1.37 0.59 l
+1.38 0.62 l
+1.37 0.64 l
+1.37 0.67 l
+1.38 0.68 l
+1.37 0.71 l
+1.38 0.72 l
+1.37 0.75 l
+1.38 0.77 l
+221.52 451.86 lineto
+1.37 0.79 l
+1.38 0.82 l
+1.37 0.83 l
+1.38 0.84 l
+1.37 0.85 l
+1.37 0.87 l
+1.38 0.87 l
+1.37 0.89 l
+1.38 0.89 l
+1.37 0.90 l
+1.38 0.91 l
+1.37 0.91 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.92 l
+1.38 0.92 l
+1.37 0.92 l
+1.37 0.92 l
+1.38 0.92 l
+1.37 0.93 l
+1.38 0.92 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.92 l
+1.37 0.92 l
+1.38 0.91 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.91 l
+1.37 0.92 l
+1.38 0.91 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.91 l
+1.37 0.92 l
+1.38 0.91 l
+1.37 0.92 l
+1.38 0.92 l
+1.37 0.92 l
+1.38 0.92 l
+1.37 0.92 l
+1.37 0.92 l
+1.38 0.93 l
+1.37 0.93 l
+1.38 0.94 l
+1.37 0.94 l
+1.37 0.95 l
+1.38 0.96 l
+1.37 0.97 l
+1.38 0.98 l
+1.37 1.00 l
+1.38 1.01 l
+1.37 1.04 l
+1.37 1.06 l
+1.38 1.09 l
+1.37 1.11 l
+1.38 1.14 l
+1.37 1.16 l
+1.37 1.21 l
+1.38 1.23 l
+1.37 1.27 l
+1.38 1.30 l
+1.37 1.33 l
+1.38 1.36 l
+1.37 1.40 l
+1.37 1.42 l
+1.38 1.45 l
+1.37 1.46 l
+1.38 1.49 l
+1.37 1.50 l
+1.37 1.52 l
+1.38 1.52 l
+1.37 1.52 l
+1.38 1.52 l
+1.37 1.51 l
+1.38 1.50 l
+1.37 1.48 l
+1.37 1.46 l
+1.38 1.43 l
+1.37 1.40 l
+1.38 1.36 l
+1.37 1.31 l
+1.37 1.27 l
+1.38 1.22 l
+1.37 1.17 l
+1.38 1.12 l
+1.37 1.05 l
+1.38 0.99 l
+1.37 0.92 l
+1.37 0.86 l
+1.38 0.79 l
+1.37 0.73 l
+1.38 0.65 l
+1.37 0.58 l
+1.37 0.51 l
+1.38 0.44 l
+1.37 0.38 l
+1.38 0.31 l
+1.37 0.24 l
+358.94 553.31 lineto
+1.37 0.11 l
+1.37 0.05 l
+1.38 0 l
+1.37 -0.05 l
+1.38 -0.11 l
+1.37 -0.16 l
+1.37 -0.19 l
+1.38 -0.24 l
+1.37 -0.27 l
+1.38 -0.31 l
+1.37 -0.34 l
+1.38 -0.37 l
+1.37 -0.39 l
+1.37 -0.40 l
+1.38 -0.43 l
+1.37 -0.44 l
+1.38 -0.46 l
+1.37 -0.46 l
+1.37 -0.48 l
+1.38 -0.48 l
+1.37 -0.49 l
+1.38 -0.51 l
+1.37 -0.51 l
+1.37 -0.51 l
+1.38 -0.53 l
+1.37 -0.54 l
+1.38 -0.55 l
+1.37 -0.57 l
+1.38 -0.58 l
+1.37 -0.59 l
+1.37 -0.62 l
+1.38 -0.63 l
+1.37 -0.65 l
+1.38 -0.68 l
+1.37 -0.71 l
+1.37 -0.72 l
+1.38 -0.75 l
+1.37 -0.77 l
+1.38 -0.80 l
+1.37 -0.82 l
+1.38 -0.84 l
+1.37 -0.86 l
+1.37 -0.88 l
+1.38 -0.90 l
+1.37 -0.92 l
+1.38 -0.92 l
+1.37 -0.95 l
+1.37 -0.95 l
+1.38 -0.96 l
+1.37 -0.96 l
+1.38 -0.98 l
+1.37 -0.99 l
+1.38 -0.99 l
+1.37 -0.99 l
+1.37 -1.00 l
+1.38 -1.01 l
+1.37 -1.02 l
+1.38 -1.02 l
+1.37 -1.04 l
+1.37 -1.04 l
+1.38 -1.05 l
+1.37 -1.05 l
+1.38 -1.07 l
+1.37 -1.07 l
+1.38 -1.09 l
+1.37 -1.08 l
+1.37 -1.10 l
+1.38 -1.10 l
+1.37 -1.10 l
+1.38 -1.10 l
+1.37 -1.09 l
+1.37 -1.10 l
+1.38 -1.09 l
+1.37 -1.08 l
+1.38 -1.07 l
+1.37 -1.06 l
+1.38 -1.05 l
+1.37 -1.03 l
+1.37 -1.02 l
+1.38 -1.01 l
+1.37 -0.99 l
+1.38 -0.98 l
+1.37 -0.96 l
+1.37 -0.95 l
+1.38 -0.94 l
+1.37 -0.92 l
+1.38 -0.92 l
+1.37 -0.91 l
+1.38 -0.90 l
+1.37 -0.90 l
+1.37 -0.90 l
+1.38 -0.89 l
+1.37 -0.88 l
+1.38 -0.89 l
+1.37 -0.88 l
+1.37 -0.88 l
+1.38 -0.88 l
+1.37 -0.87 l
+1.38 -0.87 l
+496.35 476.56 lineto
+1.38 -0.86 l
+1.37 -0.84 l
+1.37 -0.83 l
+1.38 -0.81 l
+1.37 -0.81 l
+1.38 -0.78 l
+1.37 -0.77 l
+1.37 -0.74 l
+1.38 -0.73 l
+1.37 -0.70 l
+1.38 -0.69 l
+1.37 -0.66 l
+1.37 -0.65 l
+1.38 -0.62 l
+1.37 -0.60 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.38 -0.56 l
+1.37 -0.55 l
+1.37 -0.54 l
+1.38 -0.53 l
+1.37 -0.53 l
+1.38 -0.53 l
+1.37 -0.52 l
+1.37 -0.52 l
+1.38 -0.53 l
+1.37 -0.53 l
+1.38 -0.53 l
+1.37 -0.53 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.37 -0.54 l
+1.38 -0.55 l
+1.37 -0.55 l
+1.38 -0.55 l
+1.37 -0.55 l
+1.37 -0.55 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.38 -0.54 l
+1.37 -0.53 l
+1.38 -0.52 l
+1.37 -0.50 l
+1.37 -0.50 l
+1.38 -0.48 l
+1.37 -0.47 l
+1.38 -0.46 l
+1.37 -0.43 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.38 l
+1.38 -0.36 l
+1.37 -0.34 l
+1.38 -0.32 l
+1.37 -0.30 l
+1.37 -0.28 l
+1.38 -0.26 l
+1.37 -0.25 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.37 -0.20 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.17 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.17 l
+1.37 -0.17 l
+1.38 -0.17 l
+1.37 -0.18 l
+1.38 -0.19 l
+1.37 -0.19 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.23 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.38 -0.20 l
+1.37 -0.19 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.37 -0.17 l
+1.38 -0.16 l
+1.37 -0.14 l
+633.77 436.76 lineto
+1.37 -0.13 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.09 l
+1.38 -0.09 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+771.18 433.70 lineto
+1.38 -0.01 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+58.18 428.87 m
+725.55 0 l
+o
+np
+58.18 428.87 m
+0 -2.38 l
+o
+np
+179.10 428.87 m
+0 -2.38 l
+o
+np
+300.03 428.87 m
+0 -2.38 l
+o
+np
+420.95 428.87 m
+0 -2.38 l
+o
+np
+541.88 428.87 m
+0 -2.38 l
+o
+np
+662.80 428.87 m
+0 -2.38 l
+o
+np
+783.73 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+58.18 415.56 (10) .5 0 0 t
+179.10 415.56 (12) .5 0 0 t
+300.03 415.56 (14) .5 0 0 t
+420.95 415.56 (16) .5 0 0 t
+541.88 415.56 (18) .5 0 0 t
+662.80 415.56 (20) .5 0 0 t
+783.73 415.56 (22) .5 0 0 t
+np
+56.02 433.65 m
+0 121.92 l
+o
+np
+56.02 433.65 m
+-2.38 0 l
+o
+np
+56.02 453.97 m
+-2.38 0 l
+o
+np
+56.02 474.29 m
+-2.38 0 l
+o
+np
+56.02 494.61 m
+-2.38 0 l
+o
+np
+56.02 514.93 m
+-2.38 0 l
+o
+np
+56.02 535.25 m
+-2.38 0 l
+o
+np
+56.02 555.57 m
+-2.38 0 l
+o
+48.41 433.65 (0.00) .5 0 90 t
+48.41 474.29 (0.10) .5 0 90 t
+48.41 514.93 (0.20) .5 0 90 t
+48.41 555.57 (0.30) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 493.57 (Density) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 433.65 m
+758.37 0 l
+o
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 247.45 m
+1.38 0.08 l
+1.37 0.12 l
+1.38 0.15 l
+1.37 0.19 l
+1.37 0.26 l
+1.38 0.34 l
+1.37 0.44 l
+1.38 0.54 l
+1.37 0.68 l
+1.38 0.83 l
+1.37 1.01 l
+1.37 1.21 l
+1.38 1.48 l
+1.37 1.74 l
+1.38 2.04 l
+1.37 2.35 l
+1.37 2.67 l
+1.38 3.01 l
+1.37 3.37 l
+1.38 3.72 l
+1.37 4.12 l
+1.38 4.43 l
+1.37 4.73 l
+1.37 4.98 l
+1.38 5.21 l
+1.37 5.37 l
+1.38 5.49 l
+1.37 5.54 l
+1.37 5.51 l
+1.38 5.42 l
+1.37 5.27 l
+1.38 5.05 l
+1.37 4.80 l
+1.38 4.49 l
+1.37 4.14 l
+1.37 3.69 l
+1.38 3.30 l
+1.37 2.87 l
+1.38 2.46 l
+1.37 2.05 l
+1.37 1.65 l
+1.38 1.26 l
+1.37 0.87 l
+1.38 0.49 l
+1.37 0.18 l
+1.37 -0.11 l
+1.38 -0.38 l
+1.37 -0.61 l
+1.38 -0.84 l
+1.37 -1.04 l
+1.38 -1.24 l
+1.37 -1.40 l
+1.37 -1.53 l
+1.38 -1.66 l
+1.37 -1.76 l
+1.38 -1.84 l
+1.37 -1.93 l
+1.37 -1.98 l
+1.38 -2.03 l
+1.37 -2.05 l
+1.38 -2.07 l
+1.37 -2.06 l
+1.38 -2.04 l
+1.37 -2.02 l
+1.37 -1.97 l
+1.38 -1.92 l
+1.37 -1.85 l
+1.38 -1.78 l
+1.37 -1.70 l
+1.37 -1.62 l
+1.38 -1.55 l
+1.37 -1.46 l
+1.38 -1.39 l
+1.37 -1.31 l
+1.38 -1.25 l
+1.37 -1.20 l
+1.37 -1.16 l
+1.38 -1.13 l
+1.37 -1.13 l
+1.38 -1.12 l
+1.37 -1.13 l
+1.37 -1.15 l
+1.38 -1.18 l
+1.37 -1.22 l
+1.38 -1.25 l
+1.37 -1.29 l
+1.38 -1.32 l
+1.37 -1.36 l
+1.37 -1.37 l
+1.38 -1.38 l
+1.37 -1.37 l
+1.38 -1.36 l
+1.37 -1.32 l
+1.37 -1.29 l
+1.38 -1.24 l
+1.37 -1.18 l
+1.38 -1.10 l
+1.37 -1.03 l
+1.38 -0.95 l
+221.52 290.55 lineto
+1.37 -0.81 l
+1.38 -0.75 l
+1.37 -0.68 l
+1.38 -0.63 l
+1.37 -0.58 l
+1.37 -0.54 l
+1.38 -0.52 l
+1.37 -0.51 l
+1.38 -0.50 l
+1.37 -0.49 l
+1.38 -0.49 l
+1.37 -0.51 l
+1.37 -0.51 l
+1.38 -0.52 l
+1.37 -0.53 l
+1.38 -0.54 l
+1.37 -0.55 l
+1.37 -0.55 l
+1.38 -0.56 l
+1.37 -0.55 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.38 -0.53 l
+1.37 -0.52 l
+1.37 -0.50 l
+1.38 -0.49 l
+1.37 -0.48 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.37 -0.44 l
+1.38 -0.43 l
+1.37 -0.43 l
+1.38 -0.42 l
+1.37 -0.43 l
+1.37 -0.43 l
+1.38 -0.43 l
+1.37 -0.45 l
+1.38 -0.46 l
+1.37 -0.46 l
+1.38 -0.48 l
+1.37 -0.49 l
+1.37 -0.50 l
+1.38 -0.51 l
+1.37 -0.50 l
+1.38 -0.50 l
+1.37 -0.50 l
+1.37 -0.48 l
+1.38 -0.47 l
+1.37 -0.44 l
+1.38 -0.42 l
+1.37 -0.39 l
+1.38 -0.36 l
+1.37 -0.33 l
+1.37 -0.30 l
+1.38 -0.28 l
+1.37 -0.25 l
+1.38 -0.23 l
+1.37 -0.21 l
+1.37 -0.21 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.21 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.26 l
+1.38 -0.27 l
+1.37 -0.28 l
+1.38 -0.29 l
+1.37 -0.30 l
+1.37 -0.31 l
+1.38 -0.32 l
+1.37 -0.32 l
+1.38 -0.31 l
+1.37 -0.32 l
+1.38 -0.30 l
+1.37 -0.30 l
+1.37 -0.29 l
+1.38 -0.28 l
+1.37 -0.28 l
+1.38 -0.26 l
+1.37 -0.26 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.21 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.19 l
+1.38 -0.17 l
+1.37 -0.17 l
+358.94 252.42 lineto
+1.37 -0.15 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.11 l
+1.37 -0.10 l
+1.38 -0.11 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.38 -0.08 l
+1.37 -0.07 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.07 l
+1.38 0.08 l
+1.37 0.09 l
+1.38 0.10 l
+1.37 0.09 l
+1.38 0.11 l
+1.37 0.10 l
+1.37 0.11 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.10 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.05 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.06 l
+1.38 -0.07 l
+1.37 -0.08 l
+1.38 -0.10 l
+1.37 -0.11 l
+1.37 -0.12 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.11 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.08 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.04 l
+496.35 247.41 lineto
+1.38 -0.03 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+633.77 247.24 lineto
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+771.18 247.30 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+123.91 242.44 m
+470.39 0 l
+o
+np
+123.91 242.44 m
+0 -2.37 l
+o
+np
+359.10 242.44 m
+0 -2.37 l
+o
+np
+594.30 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+123.91 229.14 (0) .5 0 0 t
+359.10 229.14 (50) .5 0 0 t
+594.30 229.14 (100) .5 0 0 t
+np
+56.02 247.23 m
+0 105.05 l
+o
+np
+56.02 247.23 m
+-2.38 0 l
+o
+np
+56.02 273.49 m
+-2.38 0 l
+o
+np
+56.02 299.75 m
+-2.38 0 l
+o
+np
+56.02 326.01 m
+-2.38 0 l
+o
+np
+56.02 352.28 m
+-2.38 0 l
+o
+48.41 247.23 (0.00) .5 0 90 t
+48.41 273.49 (0.01) .5 0 90 t
+48.41 299.75 (0.02) .5 0 90 t
+48.41 326.01 (0.03) .5 0 90 t
+48.41 352.28 (0.04) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.23 m
+758.37 0 l
+o
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 60.81 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.10 l
+1.38 0.09 l
+1.37 0.10 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.12 l
+1.38 0.13 l
+1.37 0.13 l
+1.37 0.14 l
+1.38 0.14 l
+1.37 0.15 l
+1.38 0.16 l
+1.37 0.16 l
+1.37 0.17 l
+1.38 0.18 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.19 l
+1.38 0.20 l
+1.37 0.20 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.22 l
+1.38 0.23 l
+1.37 0.23 l
+1.37 0.23 l
+1.38 0.24 l
+1.37 0.25 l
+1.38 0.25 l
+1.37 0.26 l
+1.38 0.26 l
+1.37 0.26 l
+1.37 0.27 l
+1.38 0.26 l
+1.37 0.28 l
+1.38 0.27 l
+1.37 0.27 l
+1.37 0.27 l
+1.38 0.28 l
+1.37 0.26 l
+1.38 0.27 l
+1.37 0.26 l
+1.38 0.25 l
+1.37 0.25 l
+1.37 0.24 l
+1.38 0.23 l
+1.37 0.22 l
+1.38 0.22 l
+1.37 0.21 l
+1.37 0.20 l
+1.38 0.19 l
+1.37 0.19 l
+1.38 0.19 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.19 l
+1.37 0.19 l
+1.38 0.20 l
+1.37 0.20 l
+1.38 0.22 l
+1.37 0.24 l
+1.37 0.25 l
+1.38 0.27 l
+1.37 0.29 l
+1.38 0.30 l
+1.37 0.34 l
+1.38 0.35 l
+221.52 76.39 lineto
+1.37 0.40 l
+1.38 0.41 l
+1.37 0.43 l
+1.38 0.45 l
+1.37 0.47 l
+1.37 0.47 l
+1.38 0.49 l
+1.37 0.49 l
+1.38 0.49 l
+1.37 0.50 l
+1.38 0.49 l
+1.37 0.49 l
+1.37 0.48 l
+1.38 0.47 l
+1.37 0.46 l
+1.38 0.44 l
+1.37 0.43 l
+1.37 0.42 l
+1.38 0.41 l
+1.37 0.39 l
+1.38 0.38 l
+1.37 0.37 l
+1.38 0.36 l
+1.37 0.35 l
+1.37 0.35 l
+1.38 0.35 l
+1.37 0.35 l
+1.38 0.36 l
+1.37 0.37 l
+1.37 0.37 l
+1.38 0.39 l
+1.37 0.41 l
+1.38 0.43 l
+1.37 0.45 l
+1.37 0.48 l
+1.38 0.51 l
+1.37 0.54 l
+1.38 0.57 l
+1.37 0.61 l
+1.38 0.65 l
+1.37 0.68 l
+1.37 0.73 l
+1.38 0.76 l
+1.37 0.80 l
+1.38 0.86 l
+1.37 0.90 l
+1.37 0.93 l
+1.38 0.99 l
+1.37 1.02 l
+1.38 1.07 l
+1.37 1.11 l
+1.38 1.16 l
+1.37 1.20 l
+1.37 1.23 l
+1.38 1.28 l
+1.37 1.31 l
+1.38 1.36 l
+1.37 1.38 l
+1.37 1.42 l
+1.38 1.45 l
+1.37 1.47 l
+1.38 1.50 l
+1.37 1.53 l
+1.38 1.54 l
+1.37 1.56 l
+1.37 1.58 l
+1.38 1.59 l
+1.37 1.60 l
+1.38 1.61 l
+1.37 1.61 l
+1.37 1.61 l
+1.38 1.61 l
+1.37 1.60 l
+1.38 1.60 l
+1.37 1.58 l
+1.38 1.57 l
+1.37 1.54 l
+1.37 1.53 l
+1.38 1.51 l
+1.37 1.47 l
+1.38 1.45 l
+1.37 1.41 l
+1.37 1.38 l
+1.38 1.34 l
+1.37 1.30 l
+1.38 1.26 l
+1.37 1.22 l
+1.38 1.18 l
+1.37 1.14 l
+1.37 1.10 l
+1.38 1.07 l
+1.37 1.02 l
+1.38 0.98 l
+1.37 0.96 l
+1.37 0.92 l
+1.38 0.90 l
+1.37 0.86 l
+1.38 0.84 l
+1.37 0.82 l
+358.94 168.92 lineto
+1.37 0.78 l
+1.37 0.76 l
+1.38 0.75 l
+1.37 0.72 l
+1.38 0.71 l
+1.37 0.69 l
+1.37 0.67 l
+1.38 0.65 l
+1.37 0.63 l
+1.38 0.60 l
+1.37 0.58 l
+1.38 0.54 l
+1.37 0.52 l
+1.37 0.48 l
+1.38 0.44 l
+1.37 0.40 l
+1.38 0.36 l
+1.37 0.32 l
+1.37 0.28 l
+1.38 0.24 l
+1.37 0.19 l
+1.38 0.15 l
+1.37 0.12 l
+1.37 0.07 l
+1.38 0.04 l
+1.37 0.01 l
+1.38 -0.02 l
+1.37 -0.05 l
+1.38 -0.08 l
+1.37 -0.09 l
+1.37 -0.11 l
+1.38 -0.13 l
+1.37 -0.15 l
+1.38 -0.16 l
+1.37 -0.18 l
+1.37 -0.19 l
+1.38 -0.20 l
+1.37 -0.23 l
+1.38 -0.25 l
+1.37 -0.27 l
+1.38 -0.29 l
+1.37 -0.32 l
+1.37 -0.36 l
+1.38 -0.39 l
+1.37 -0.44 l
+1.38 -0.47 l
+1.37 -0.52 l
+1.37 -0.57 l
+1.38 -0.61 l
+1.37 -0.66 l
+1.38 -0.72 l
+1.37 -0.76 l
+1.38 -0.80 l
+1.37 -0.85 l
+1.37 -0.89 l
+1.38 -0.93 l
+1.37 -0.97 l
+1.38 -1.00 l
+1.37 -1.03 l
+1.37 -1.05 l
+1.38 -1.07 l
+1.37 -1.09 l
+1.38 -1.11 l
+1.37 -1.11 l
+1.38 -1.13 l
+1.37 -1.13 l
+1.37 -1.14 l
+1.38 -1.15 l
+1.37 -1.16 l
+1.38 -1.17 l
+1.37 -1.18 l
+1.37 -1.19 l
+1.38 -1.20 l
+1.37 -1.23 l
+1.38 -1.24 l
+1.37 -1.27 l
+1.38 -1.29 l
+1.37 -1.31 l
+1.37 -1.34 l
+1.38 -1.37 l
+1.37 -1.40 l
+1.38 -1.43 l
+1.37 -1.45 l
+1.37 -1.47 l
+1.38 -1.50 l
+1.37 -1.51 l
+1.38 -1.52 l
+1.37 -1.53 l
+1.38 -1.53 l
+1.37 -1.52 l
+1.37 -1.51 l
+1.38 -1.49 l
+1.37 -1.46 l
+1.38 -1.44 l
+1.37 -1.40 l
+1.37 -1.36 l
+1.38 -1.31 l
+1.37 -1.25 l
+1.38 -1.20 l
+496.35 112.57 lineto
+1.38 -1.10 l
+1.37 -1.04 l
+1.37 -0.98 l
+1.38 -0.91 l
+1.37 -0.87 l
+1.38 -0.81 l
+1.37 -0.77 l
+1.37 -0.73 l
+1.38 -0.68 l
+1.37 -0.64 l
+1.38 -0.62 l
+1.37 -0.59 l
+1.37 -0.57 l
+1.38 -0.55 l
+1.37 -0.54 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.37 -0.56 l
+1.38 -0.57 l
+1.37 -0.59 l
+1.38 -0.61 l
+1.37 -0.63 l
+1.37 -0.64 l
+1.38 -0.67 l
+1.37 -0.70 l
+1.38 -0.72 l
+1.37 -0.74 l
+1.38 -0.77 l
+1.37 -0.78 l
+1.37 -0.80 l
+1.38 -0.82 l
+1.37 -0.83 l
+1.38 -0.84 l
+1.37 -0.86 l
+1.37 -0.86 l
+1.38 -0.86 l
+1.37 -0.87 l
+1.38 -0.86 l
+1.37 -0.86 l
+1.38 -0.85 l
+1.37 -0.84 l
+1.37 -0.83 l
+1.38 -0.81 l
+1.37 -0.79 l
+1.38 -0.77 l
+1.37 -0.75 l
+1.37 -0.73 l
+1.38 -0.70 l
+1.37 -0.67 l
+1.38 -0.64 l
+1.37 -0.61 l
+1.38 -0.59 l
+1.37 -0.55 l
+1.37 -0.53 l
+1.38 -0.49 l
+1.37 -0.46 l
+1.38 -0.43 l
+1.37 -0.41 l
+1.37 -0.38 l
+1.38 -0.34 l
+1.37 -0.33 l
+1.38 -0.29 l
+1.37 -0.28 l
+1.38 -0.25 l
+1.37 -0.23 l
+1.37 -0.21 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.15 l
+1.37 -0.15 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.37 -0.13 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.14 l
+1.38 -0.13 l
+1.37 -0.14 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+633.77 63.63 lineto
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+771.18 60.88 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+80.75 56.02 m
+715.89 0 l
+o
+np
+80.75 56.02 m
+0 -2.38 l
+o
+np
+259.72 56.02 m
+0 -2.38 l
+o
+np
+438.69 56.02 m
+0 -2.38 l
+o
+np
+617.67 56.02 m
+0 -2.38 l
+o
+np
+796.64 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+80.75 42.71 (0) .5 0 0 t
+259.72 42.71 (5) .5 0 0 t
+438.69 42.71 (10) .5 0 0 t
+617.67 42.71 (15) .5 0 0 t
+796.64 42.71 (20) .5 0 0 t
+np
+56.02 60.80 m
+0 103.18 l
+o
+np
+56.02 60.80 m
+-2.38 0 l
+o
+np
+56.02 95.20 m
+-2.38 0 l
+o
+np
+56.02 129.59 m
+-2.38 0 l
+o
+np
+56.02 163.98 m
+-2.38 0 l
+o
+48.41 60.80 (0.00) .5 0 90 t
+48.41 95.20 (0.05) .5 0 90 t
+48.41 129.59 (0.10) .5 0 90 t
+48.41 163.98 (0.15) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.80 m
+758.37 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 9 9
+bp
+56.02 428.87 814.39 558.27 cl
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 433.66 m
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.06 l
+1.38 0.08 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.11 l
+1.38 0.12 l
+1.37 0.12 l
+1.37 0.14 l
+1.38 0.13 l
+1.37 0.15 l
+1.38 0.15 l
+1.37 0.16 l
+1.37 0.17 l
+1.38 0.19 l
+1.37 0.19 l
+1.38 0.21 l
+1.37 0.22 l
+1.38 0.24 l
+1.37 0.26 l
+1.37 0.28 l
+1.38 0.30 l
+1.37 0.32 l
+1.38 0.35 l
+1.37 0.37 l
+1.37 0.42 l
+1.38 0.44 l
+1.37 0.48 l
+1.38 0.51 l
+1.37 0.56 l
+1.38 0.59 l
+1.37 0.64 l
+1.37 0.69 l
+1.38 0.73 l
+1.37 0.77 l
+1.38 0.82 l
+1.37 0.87 l
+1.37 0.91 l
+1.38 0.96 l
+1.37 1.00 l
+1.38 1.03 l
+1.37 1.08 l
+1.38 1.10 l
+221.52 454.12 lineto
+1.37 1.16 l
+1.38 1.18 l
+1.37 1.19 l
+1.38 1.20 l
+1.37 1.20 l
+1.37 1.20 l
+1.38 1.20 l
+1.37 1.17 l
+1.38 1.16 l
+1.37 1.13 l
+1.38 1.11 l
+1.37 1.07 l
+1.37 1.04 l
+1.38 0.99 l
+1.37 0.96 l
+1.38 0.92 l
+1.37 0.88 l
+1.37 0.84 l
+1.38 0.81 l
+1.37 0.77 l
+1.38 0.74 l
+1.37 0.73 l
+1.38 0.70 l
+1.37 0.69 l
+1.37 0.69 l
+1.38 0.69 l
+1.37 0.70 l
+1.38 0.72 l
+1.37 0.74 l
+1.37 0.77 l
+1.38 0.81 l
+1.37 0.86 l
+1.38 0.90 l
+1.37 0.98 l
+1.37 1.03 l
+1.38 1.10 l
+1.37 1.17 l
+1.38 1.25 l
+1.37 1.32 l
+1.38 1.41 l
+1.37 1.50 l
+1.37 1.57 l
+1.38 1.65 l
+1.37 1.72 l
+1.38 1.79 l
+1.37 1.86 l
+1.37 1.93 l
+1.38 1.98 l
+1.37 2.03 l
+1.38 2.06 l
+1.37 2.09 l
+1.38 2.11 l
+1.37 2.13 l
+1.37 2.12 l
+1.38 2.11 l
+1.37 2.08 l
+1.38 2.06 l
+1.37 2.01 l
+1.37 1.96 l
+1.38 1.90 l
+1.37 1.82 l
+1.38 1.75 l
+1.37 1.68 l
+1.38 1.58 l
+1.37 1.50 l
+1.37 1.38 l
+1.38 1.29 l
+1.37 1.19 l
+1.38 1.09 l
+1.37 1.00 l
+1.37 0.90 l
+1.38 0.79 l
+1.37 0.69 l
+1.38 0.62 l
+1.37 0.53 l
+1.38 0.46 l
+1.37 0.39 l
+1.37 0.34 l
+1.38 0.27 l
+1.37 0.23 l
+1.38 0.21 l
+1.37 0.17 l
+1.37 0.16 l
+1.38 0.15 l
+1.37 0.14 l
+1.38 0.13 l
+1.37 0.14 l
+1.38 0.15 l
+1.37 0.14 l
+1.37 0.14 l
+1.38 0.14 l
+1.37 0.12 l
+1.38 0.11 l
+1.37 0.07 l
+1.37 0.04 l
+1.38 0 l
+1.37 -0.06 l
+1.38 -0.13 l
+1.37 -0.21 l
+358.94 552.79 lineto
+1.37 -0.37 l
+1.37 -0.45 l
+1.38 -0.54 l
+1.37 -0.62 l
+1.38 -0.71 l
+1.37 -0.79 l
+1.37 -0.84 l
+1.38 -0.90 l
+1.37 -0.95 l
+1.38 -0.97 l
+1.37 -0.99 l
+1.38 -0.99 l
+1.37 -0.99 l
+1.37 -0.96 l
+1.38 -0.93 l
+1.37 -0.89 l
+1.38 -0.84 l
+1.37 -0.79 l
+1.37 -0.73 l
+1.38 -0.68 l
+1.37 -0.64 l
+1.38 -0.59 l
+1.37 -0.56 l
+1.37 -0.53 l
+1.38 -0.52 l
+1.37 -0.52 l
+1.38 -0.54 l
+1.37 -0.55 l
+1.38 -0.60 l
+1.37 -0.65 l
+1.37 -0.71 l
+1.38 -0.79 l
+1.37 -0.87 l
+1.38 -0.95 l
+1.37 -1.04 l
+1.37 -1.13 l
+1.38 -1.24 l
+1.37 -1.32 l
+1.38 -1.40 l
+1.37 -1.47 l
+1.38 -1.55 l
+1.37 -1.59 l
+1.37 -1.66 l
+1.38 -1.69 l
+1.37 -1.71 l
+1.38 -1.72 l
+1.37 -1.73 l
+1.37 -1.71 l
+1.38 -1.70 l
+1.37 -1.66 l
+1.38 -1.63 l
+1.37 -1.58 l
+1.38 -1.53 l
+1.37 -1.49 l
+1.37 -1.43 l
+1.38 -1.37 l
+1.37 -1.31 l
+1.38 -1.26 l
+1.37 -1.21 l
+1.37 -1.16 l
+1.38 -1.12 l
+1.37 -1.08 l
+1.38 -1.04 l
+1.37 -1.01 l
+1.38 -0.99 l
+1.37 -0.97 l
+1.37 -0.96 l
+1.38 -0.95 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.93 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.93 l
+1.38 -0.94 l
+1.37 -0.93 l
+1.38 -0.94 l
+1.37 -0.94 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.92 l
+1.37 -0.93 l
+1.38 -0.92 l
+1.37 -0.92 l
+1.38 -0.92 l
+1.37 -0.91 l
+1.38 -0.92 l
+1.37 -0.90 l
+1.37 -0.91 l
+1.38 -0.90 l
+1.37 -0.89 l
+1.38 -0.89 l
+1.37 -0.88 l
+1.37 -0.86 l
+1.38 -0.84 l
+1.37 -0.83 l
+1.38 -0.80 l
+496.35 452.42 lineto
+1.38 -0.75 l
+1.37 -0.70 l
+1.37 -0.67 l
+1.38 -0.64 l
+1.37 -0.59 l
+1.38 -0.54 l
+1.37 -0.51 l
+1.37 -0.46 l
+1.38 -0.41 l
+1.37 -0.37 l
+1.38 -0.33 l
+1.37 -0.29 l
+1.37 -0.26 l
+1.38 -0.23 l
+1.37 -0.20 l
+1.38 -0.18 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.37 -0.14 l
+1.38 -0.13 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.15 l
+1.37 -0.16 l
+1.38 -0.17 l
+1.37 -0.18 l
+1.38 -0.19 l
+1.37 -0.20 l
+1.38 -0.21 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.21 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.37 -0.19 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.37 -0.15 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.06 l
+1.37 -0.06 l
+633.77 435.02 lineto
+1.37 -0.08 l
+1.37 -0.07 l
+1.38 -0.09 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+771.18 433.72 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+154.76 428.87 m
+640.58 0 l
+o
+np
+154.76 428.87 m
+0 -2.38 l
+o
+np
+282.87 428.87 m
+0 -2.38 l
+o
+np
+410.99 428.87 m
+0 -2.38 l
+o
+np
+539.11 428.87 m
+0 -2.38 l
+o
+np
+667.22 428.87 m
+0 -2.38 l
+o
+np
+795.34 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+154.76 415.56 (8) .5 0 0 t
+282.87 415.56 (10) .5 0 0 t
+410.99 415.56 (12) .5 0 0 t
+539.11 415.56 (14) .5 0 0 t
+667.22 415.56 (16) .5 0 0 t
+795.34 415.56 (18) .5 0 0 t
+np
+56.02 433.66 m
+0 118.62 l
+o
+np
+56.02 433.66 m
+-2.38 0 l
+o
+np
+56.02 450.60 m
+-2.38 0 l
+o
+np
+56.02 467.55 m
+-2.38 0 l
+o
+np
+56.02 484.49 m
+-2.38 0 l
+o
+np
+56.02 501.44 m
+-2.38 0 l
+o
+np
+56.02 518.38 m
+-2.38 0 l
+o
+np
+56.02 535.33 m
+-2.38 0 l
+o
+np
+56.02 552.28 m
+-2.38 0 l
+o
+48.41 433.66 (0.00) .5 0 90 t
+48.41 467.55 (0.10) .5 0 90 t
+48.41 501.44 (0.20) .5 0 90 t
+48.41 535.33 (0.30) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 493.57 (Density) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 433.66 m
+758.37 0 l
+o
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 247.25 m
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.06 l
+1.38 0.07 l
+1.37 0.07 l
+1.38 0.09 l
+1.37 0.09 l
+1.38 0.11 l
+1.37 0.12 l
+1.37 0.13 l
+1.38 0.15 l
+1.37 0.16 l
+1.38 0.18 l
+1.37 0.19 l
+1.37 0.21 l
+1.38 0.23 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.29 l
+1.38 0.31 l
+1.37 0.33 l
+1.37 0.35 l
+1.38 0.37 l
+1.37 0.40 l
+1.38 0.41 l
+1.37 0.44 l
+1.37 0.46 l
+1.38 0.49 l
+1.37 0.50 l
+1.38 0.53 l
+1.37 0.55 l
+1.37 0.58 l
+1.38 0.59 l
+1.37 0.62 l
+1.38 0.64 l
+1.37 0.67 l
+1.38 0.69 l
+1.37 0.71 l
+1.37 0.74 l
+1.38 0.76 l
+1.37 0.79 l
+1.38 0.82 l
+1.37 0.85 l
+1.37 0.88 l
+1.38 0.91 l
+1.37 0.94 l
+1.38 0.98 l
+1.37 1.01 l
+1.38 1.05 l
+1.37 1.09 l
+1.37 1.12 l
+1.38 1.16 l
+1.37 1.21 l
+1.38 1.25 l
+1.37 1.28 l
+1.37 1.32 l
+1.38 1.36 l
+1.37 1.40 l
+1.38 1.43 l
+1.37 1.46 l
+1.38 1.49 l
+1.37 1.52 l
+1.37 1.54 l
+1.38 1.56 l
+1.37 1.57 l
+1.38 1.57 l
+1.37 1.59 l
+1.37 1.58 l
+1.38 1.57 l
+1.37 1.56 l
+1.38 1.55 l
+1.37 1.52 l
+1.38 1.51 l
+1.37 1.47 l
+1.37 1.43 l
+1.38 1.41 l
+1.37 1.37 l
+1.38 1.33 l
+1.37 1.29 l
+1.37 1.24 l
+1.38 1.21 l
+1.37 1.17 l
+1.38 1.13 l
+1.37 1.10 l
+1.38 1.06 l
+221.52 320.06 lineto
+1.37 1.00 l
+1.38 0.98 l
+1.37 0.97 l
+1.38 0.94 l
+1.37 0.93 l
+1.37 0.93 l
+1.38 0.92 l
+1.37 0.92 l
+1.38 0.92 l
+1.37 0.93 l
+1.38 0.93 l
+1.37 0.94 l
+1.37 0.95 l
+1.38 0.96 l
+1.37 0.98 l
+1.38 0.98 l
+1.37 0.99 l
+1.37 1.00 l
+1.38 1.00 l
+1.37 1.01 l
+1.38 1.01 l
+1.37 1.01 l
+1.38 1.00 l
+1.37 0.99 l
+1.37 0.99 l
+1.38 0.96 l
+1.37 0.95 l
+1.38 0.93 l
+1.37 0.91 l
+1.37 0.88 l
+1.38 0.86 l
+1.37 0.82 l
+1.38 0.80 l
+1.37 0.78 l
+1.37 0.73 l
+1.38 0.71 l
+1.37 0.69 l
+1.38 0.66 l
+1.37 0.63 l
+1.38 0.62 l
+1.37 0.59 l
+1.37 0.57 l
+1.38 0.56 l
+1.37 0.55 l
+1.38 0.54 l
+1.37 0.53 l
+1.37 0.52 l
+1.38 0.51 l
+1.37 0.51 l
+1.38 0.51 l
+1.37 0.50 l
+1.38 0.50 l
+1.37 0.48 l
+1.37 0.48 l
+1.38 0.46 l
+1.37 0.45 l
+1.38 0.43 l
+1.37 0.41 l
+1.37 0.37 l
+1.38 0.35 l
+1.37 0.31 l
+1.38 0.25 l
+1.37 0.21 l
+1.38 0.16 l
+1.37 0.09 l
+1.37 0.04 l
+1.38 -0.05 l
+1.37 -0.12 l
+1.38 -0.20 l
+1.37 -0.27 l
+1.37 -0.35 l
+1.38 -0.46 l
+1.37 -0.54 l
+1.38 -0.63 l
+1.37 -0.70 l
+1.38 -0.79 l
+1.37 -0.89 l
+1.37 -0.96 l
+1.38 -1.04 l
+1.37 -1.10 l
+1.38 -1.17 l
+1.37 -1.23 l
+1.37 -1.28 l
+1.38 -1.33 l
+1.37 -1.36 l
+1.38 -1.38 l
+1.37 -1.40 l
+1.38 -1.41 l
+1.37 -1.41 l
+1.37 -1.40 l
+1.38 -1.38 l
+1.37 -1.36 l
+1.38 -1.32 l
+1.37 -1.28 l
+1.37 -1.23 l
+1.38 -1.18 l
+1.37 -1.12 l
+1.38 -1.06 l
+1.37 -0.98 l
+358.94 333.75 lineto
+1.37 -0.86 l
+1.37 -0.79 l
+1.38 -0.73 l
+1.37 -0.64 l
+1.38 -0.59 l
+1.37 -0.53 l
+1.37 -0.48 l
+1.38 -0.42 l
+1.37 -0.38 l
+1.38 -0.33 l
+1.37 -0.30 l
+1.38 -0.28 l
+1.37 -0.25 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.38 -0.21 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.23 l
+1.37 -0.25 l
+1.38 -0.27 l
+1.37 -0.28 l
+1.37 -0.30 l
+1.38 -0.32 l
+1.37 -0.34 l
+1.38 -0.37 l
+1.37 -0.38 l
+1.38 -0.40 l
+1.37 -0.43 l
+1.37 -0.45 l
+1.38 -0.47 l
+1.37 -0.48 l
+1.38 -0.51 l
+1.37 -0.52 l
+1.37 -0.54 l
+1.38 -0.56 l
+1.37 -0.57 l
+1.38 -0.59 l
+1.37 -0.61 l
+1.38 -0.63 l
+1.37 -0.65 l
+1.37 -0.66 l
+1.38 -0.68 l
+1.37 -0.69 l
+1.38 -0.72 l
+1.37 -0.74 l
+1.37 -0.74 l
+1.38 -0.77 l
+1.37 -0.78 l
+1.38 -0.79 l
+1.37 -0.81 l
+1.38 -0.81 l
+1.37 -0.83 l
+1.37 -0.83 l
+1.38 -0.84 l
+1.37 -0.85 l
+1.38 -0.84 l
+1.37 -0.85 l
+1.37 -0.84 l
+1.38 -0.84 l
+1.37 -0.83 l
+1.38 -0.83 l
+1.37 -0.82 l
+1.38 -0.81 l
+1.37 -0.80 l
+1.37 -0.79 l
+1.38 -0.77 l
+1.37 -0.77 l
+1.38 -0.76 l
+1.37 -0.74 l
+1.37 -0.74 l
+1.38 -0.72 l
+1.37 -0.72 l
+1.38 -0.70 l
+1.37 -0.71 l
+1.38 -0.69 l
+1.37 -0.69 l
+1.37 -0.69 l
+1.38 -0.69 l
+1.37 -0.68 l
+1.38 -0.69 l
+1.37 -0.69 l
+1.37 -0.69 l
+1.38 -0.69 l
+1.37 -0.69 l
+1.38 -0.70 l
+1.37 -0.71 l
+1.38 -0.71 l
+1.37 -0.71 l
+1.37 -0.72 l
+1.38 -0.72 l
+1.37 -0.73 l
+1.38 -0.73 l
+1.37 -0.74 l
+1.37 -0.73 l
+1.38 -0.74 l
+1.37 -0.74 l
+1.38 -0.73 l
+496.35 272.24 lineto
+1.38 -0.73 l
+1.37 -0.72 l
+1.37 -0.72 l
+1.38 -0.71 l
+1.37 -0.70 l
+1.38 -0.68 l
+1.37 -0.68 l
+1.37 -0.66 l
+1.38 -0.64 l
+1.37 -0.63 l
+1.38 -0.61 l
+1.37 -0.59 l
+1.37 -0.57 l
+1.38 -0.55 l
+1.37 -0.53 l
+1.38 -0.50 l
+1.37 -0.49 l
+1.38 -0.46 l
+1.37 -0.44 l
+1.37 -0.41 l
+1.38 -0.39 l
+1.37 -0.37 l
+1.38 -0.35 l
+1.37 -0.33 l
+1.37 -0.30 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.38 -0.25 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.20 l
+1.37 -0.19 l
+1.38 -0.17 l
+1.37 -0.17 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.37 -0.14 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.38 -0.13 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.12 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.13 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.07 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.05 l
+633.77 249.46 lineto
+1.37 -0.05 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+771.18 247.27 lineto
+1.38 -0.01 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+150.85 242.44 m
+570.68 0 l
+o
+np
+150.85 242.44 m
+0 -2.37 l
+o
+np
+293.52 242.44 m
+0 -2.37 l
+o
+np
+436.19 242.44 m
+0 -2.37 l
+o
+np
+578.86 242.44 m
+0 -2.37 l
+o
+np
+721.53 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+150.85 229.14 (5) .5 0 0 t
+293.52 229.14 (10) .5 0 0 t
+436.19 229.14 (15) .5 0 0 t
+578.86 229.14 (20) .5 0 0 t
+721.53 229.14 (25) .5 0 0 t
+np
+56.02 247.23 m
+0 111.27 l
+o
+np
+56.02 247.23 m
+-2.38 0 l
+o
+np
+56.02 265.77 m
+-2.38 0 l
+o
+np
+56.02 284.32 m
+-2.38 0 l
+o
+np
+56.02 302.87 m
+-2.38 0 l
+o
+np
+56.02 321.41 m
+-2.38 0 l
+o
+np
+56.02 339.96 m
+-2.38 0 l
+o
+np
+56.02 358.50 m
+-2.38 0 l
+o
+48.41 247.23 (0.00) .5 0 90 t
+48.41 284.32 (0.04) .5 0 90 t
+48.41 321.41 (0.08) .5 0 90 t
+48.41 358.50 (0.12) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.23 m
+758.37 0 l
+o
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 60.81 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.07 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.08 l
+1.38 0.10 l
+1.37 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.12 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.13 l
+1.38 0.12 l
+1.37 0.12 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.11 l
+1.37 0.09 l
+1.38 0.10 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.07 l
+1.37 0.07 l
+1.38 0.09 l
+1.37 0.10 l
+1.38 0.12 l
+1.37 0.13 l
+1.38 0.15 l
+221.52 65.52 lineto
+1.37 0.17 l
+1.38 0.20 l
+1.37 0.21 l
+1.38 0.23 l
+1.37 0.24 l
+1.37 0.25 l
+1.38 0.28 l
+1.37 0.29 l
+1.38 0.31 l
+1.37 0.32 l
+1.38 0.34 l
+1.37 0.35 l
+1.37 0.37 l
+1.38 0.39 l
+1.37 0.39 l
+1.38 0.41 l
+1.37 0.42 l
+1.37 0.43 l
+1.38 0.44 l
+1.37 0.45 l
+1.38 0.47 l
+1.37 0.47 l
+1.38 0.48 l
+1.37 0.48 l
+1.37 0.49 l
+1.38 0.50 l
+1.37 0.51 l
+1.38 0.51 l
+1.37 0.52 l
+1.37 0.52 l
+1.38 0.52 l
+1.37 0.53 l
+1.38 0.54 l
+1.37 0.54 l
+1.37 0.55 l
+1.38 0.54 l
+1.37 0.56 l
+1.38 0.56 l
+1.37 0.56 l
+1.38 0.57 l
+1.37 0.57 l
+1.37 0.58 l
+1.38 0.59 l
+1.37 0.59 l
+1.38 0.60 l
+1.37 0.60 l
+1.37 0.62 l
+1.38 0.62 l
+1.37 0.64 l
+1.38 0.64 l
+1.37 0.65 l
+1.38 0.66 l
+1.37 0.68 l
+1.37 0.69 l
+1.38 0.70 l
+1.37 0.71 l
+1.38 0.73 l
+1.37 0.75 l
+1.37 0.76 l
+1.38 0.78 l
+1.37 0.79 l
+1.38 0.81 l
+1.37 0.83 l
+1.38 0.85 l
+1.37 0.86 l
+1.37 0.88 l
+1.38 0.90 l
+1.37 0.92 l
+1.38 0.93 l
+1.37 0.96 l
+1.37 0.97 l
+1.38 0.98 l
+1.37 1.00 l
+1.38 1.02 l
+1.37 1.04 l
+1.38 1.05 l
+1.37 1.07 l
+1.37 1.08 l
+1.38 1.10 l
+1.37 1.12 l
+1.38 1.13 l
+1.37 1.15 l
+1.37 1.16 l
+1.38 1.19 l
+1.37 1.20 l
+1.38 1.21 l
+1.37 1.24 l
+1.38 1.25 l
+1.37 1.27 l
+1.37 1.30 l
+1.38 1.31 l
+1.37 1.32 l
+1.38 1.35 l
+1.37 1.36 l
+1.37 1.38 l
+1.38 1.39 l
+1.37 1.41 l
+1.38 1.41 l
+1.37 1.43 l
+358.94 140.65 lineto
+1.37 1.44 l
+1.37 1.44 l
+1.38 1.45 l
+1.37 1.44 l
+1.38 1.44 l
+1.37 1.43 l
+1.37 1.41 l
+1.38 1.41 l
+1.37 1.39 l
+1.38 1.36 l
+1.37 1.34 l
+1.38 1.32 l
+1.37 1.29 l
+1.37 1.27 l
+1.38 1.22 l
+1.37 1.20 l
+1.38 1.15 l
+1.37 1.13 l
+1.37 1.09 l
+1.38 1.04 l
+1.37 1.01 l
+1.38 0.96 l
+1.37 0.93 l
+1.37 0.89 l
+1.38 0.85 l
+1.37 0.80 l
+1.38 0.76 l
+1.37 0.72 l
+1.38 0.69 l
+1.37 0.64 l
+1.37 0.60 l
+1.38 0.57 l
+1.37 0.52 l
+1.38 0.50 l
+1.37 0.45 l
+1.37 0.42 l
+1.38 0.38 l
+1.37 0.34 l
+1.38 0.32 l
+1.37 0.28 l
+1.38 0.24 l
+1.37 0.21 l
+1.37 0.18 l
+1.38 0.15 l
+1.37 0.12 l
+1.38 0.09 l
+1.37 0.06 l
+1.37 0.03 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.05 l
+1.37 -0.07 l
+1.38 -0.10 l
+1.37 -0.11 l
+1.37 -0.13 l
+1.38 -0.15 l
+1.37 -0.17 l
+1.38 -0.19 l
+1.37 -0.19 l
+1.37 -0.21 l
+1.38 -0.22 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.38 -0.25 l
+1.37 -0.24 l
+1.37 -0.24 l
+1.38 -0.25 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.25 l
+1.37 -0.25 l
+1.38 -0.26 l
+1.37 -0.27 l
+1.38 -0.28 l
+1.37 -0.29 l
+1.38 -0.30 l
+1.37 -0.32 l
+1.37 -0.32 l
+1.38 -0.35 l
+1.37 -0.36 l
+1.38 -0.38 l
+1.37 -0.39 l
+1.37 -0.41 l
+1.38 -0.44 l
+1.37 -0.45 l
+1.38 -0.48 l
+496.35 167.77 lineto
+1.38 -0.52 l
+1.37 -0.54 l
+1.37 -0.57 l
+1.38 -0.60 l
+1.37 -0.63 l
+1.38 -0.65 l
+1.37 -0.68 l
+1.37 -0.72 l
+1.38 -0.76 l
+1.37 -0.78 l
+1.38 -0.82 l
+1.37 -0.85 l
+1.37 -0.90 l
+1.38 -0.94 l
+1.37 -0.97 l
+1.38 -1.01 l
+1.37 -1.04 l
+1.38 -1.08 l
+1.37 -1.13 l
+1.37 -1.15 l
+1.38 -1.19 l
+1.37 -1.22 l
+1.38 -1.25 l
+1.37 -1.28 l
+1.37 -1.30 l
+1.38 -1.32 l
+1.37 -1.34 l
+1.38 -1.35 l
+1.37 -1.37 l
+1.38 -1.37 l
+1.37 -1.38 l
+1.37 -1.37 l
+1.38 -1.38 l
+1.37 -1.37 l
+1.38 -1.36 l
+1.37 -1.34 l
+1.37 -1.33 l
+1.38 -1.32 l
+1.37 -1.29 l
+1.38 -1.27 l
+1.37 -1.24 l
+1.38 -1.22 l
+1.37 -1.19 l
+1.37 -1.17 l
+1.38 -1.13 l
+1.37 -1.10 l
+1.38 -1.08 l
+1.37 -1.05 l
+1.37 -1.02 l
+1.38 -0.99 l
+1.37 -0.96 l
+1.38 -0.94 l
+1.37 -0.92 l
+1.38 -0.89 l
+1.37 -0.86 l
+1.37 -0.85 l
+1.38 -0.82 l
+1.37 -0.81 l
+1.38 -0.79 l
+1.37 -0.77 l
+1.37 -0.76 l
+1.38 -0.74 l
+1.37 -0.73 l
+1.38 -0.71 l
+1.37 -0.70 l
+1.38 -0.68 l
+1.37 -0.68 l
+1.37 -0.66 l
+1.38 -0.65 l
+1.37 -0.63 l
+1.38 -0.62 l
+1.37 -0.61 l
+1.37 -0.60 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.38 -0.56 l
+1.37 -0.56 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.37 -0.52 l
+1.38 -0.52 l
+1.37 -0.51 l
+1.38 -0.51 l
+1.37 -0.50 l
+1.37 -0.49 l
+1.38 -0.50 l
+1.37 -0.49 l
+1.38 -0.49 l
+1.37 -0.49 l
+1.37 -0.49 l
+1.38 -0.49 l
+1.37 -0.50 l
+1.38 -0.49 l
+1.37 -0.50 l
+1.38 -0.50 l
+1.37 -0.51 l
+1.37 -0.50 l
+1.38 -0.51 l
+1.37 -0.51 l
+633.77 82.56 lineto
+1.37 -0.50 l
+1.37 -0.51 l
+1.38 -0.50 l
+1.37 -0.51 l
+1.38 -0.49 l
+1.37 -0.49 l
+1.38 -0.49 l
+1.37 -0.48 l
+1.37 -0.47 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.38 -0.45 l
+1.37 -0.43 l
+1.37 -0.42 l
+1.38 -0.42 l
+1.37 -0.40 l
+1.38 -0.40 l
+1.37 -0.38 l
+1.38 -0.38 l
+1.37 -0.37 l
+1.37 -0.36 l
+1.38 -0.35 l
+1.37 -0.35 l
+1.38 -0.34 l
+1.37 -0.34 l
+1.37 -0.32 l
+1.38 -0.33 l
+1.37 -0.31 l
+1.38 -0.32 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.30 l
+1.37 -0.29 l
+1.38 -0.29 l
+1.37 -0.29 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.37 -0.27 l
+1.38 -0.26 l
+1.37 -0.25 l
+1.38 -0.25 l
+1.37 -0.23 l
+1.38 -0.24 l
+1.37 -0.22 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.20 l
+1.38 -0.19 l
+1.37 -0.19 l
+1.37 -0.17 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.10 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.01 l
+771.18 60.89 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+176.84 56.02 m
+597.70 0 l
+o
+np
+176.84 56.02 m
+0 -2.38 l
+o
+np
+326.27 56.02 m
+0 -2.38 l
+o
+np
+475.69 56.02 m
+0 -2.38 l
+o
+np
+625.11 56.02 m
+0 -2.38 l
+o
+np
+774.54 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+176.84 42.71 (0) .5 0 0 t
+326.27 42.71 (2) .5 0 0 t
+475.69 42.71 (4) .5 0 0 t
+625.11 42.71 (6) .5 0 0 t
+774.54 42.71 (8) .5 0 0 t
+np
+56.02 60.80 m
+0 116.35 l
+o
+np
+56.02 60.80 m
+-2.38 0 l
+o
+np
+56.02 80.19 m
+-2.38 0 l
+o
+np
+56.02 99.58 m
+-2.38 0 l
+o
+np
+56.02 118.97 m
+-2.38 0 l
+o
+np
+56.02 138.36 m
+-2.38 0 l
+o
+np
+56.02 157.76 m
+-2.38 0 l
+o
+np
+56.02 177.15 m
+-2.38 0 l
+o
+48.41 60.80 (0.00) .5 0 90 t
+48.41 99.58 (0.10) .5 0 90 t
+48.41 138.36 (0.20) .5 0 90 t
+48.41 177.15 (0.30) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.80 m
+758.37 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 10 10
+bp
+18.00 297.64 823.89 577.28 cl
+18.00 297.64 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+75.60 362.39 178.34 81.33 r p3
+75.60 459.99 555.55 81.33 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+66.96 398.75 (Y = 0) 1 0 0 t
+66.96 496.35 (Y = 1) 1 0 0 t
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Values: Y|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 314.92 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 355.24 m
+733.89 0 l
+o
+np
+75.60 355.24 m
+0 -3.60 l
+o
+np
+222.38 355.24 m
+0 -3.60 l
+o
+np
+369.16 355.24 m
+0 -3.60 l
+o
+np
+515.93 355.24 m
+0 -3.60 l
+o
+np
+662.71 355.24 m
+0 -3.60 l
+o
+np
+809.49 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+75.60 335.08 (0) .5 0 0 t
+222.38 335.08 (20) .5 0 0 t
+369.16 335.08 (40) .5 0 0 t
+515.93 335.08 (60) .5 0 0 t
+662.71 335.08 (80) .5 0 0 t
+809.49 335.08 (100) .5 0 0 t
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.32 0.11 l
+1.33 0.12 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.15 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.18 l
+1.33 0.19 l
+1.33 0.19 l
+1.33 0.20 l
+1.33 0.21 l
+1.33 0.22 l
+1.33 0.23 l
+1.33 0.23 l
+1.33 0.24 l
+1.33 0.24 l
+1.33 0.26 l
+1.33 0.26 l
+1.33 0.26 l
+1.33 0.28 l
+1.33 0.28 l
+1.33 0.28 l
+1.33 0.29 l
+1.33 0.29 l
+1.33 0.30 l
+1.33 0.31 l
+1.33 0.30 l
+1.33 0.31 l
+1.33 0.31 l
+1.33 0.32 l
+1.33 0.31 l
+1.33 0.31 l
+1.33 0.32 l
+1.33 0.31 l
+1.33 0.32 l
+1.33 0.31 l
+1.33 0.31 l
+1.33 0.31 l
+1.33 0.31 l
+1.33 0.30 l
+1.33 0.31 l
+1.33 0.30 l
+1.33 0.30 l
+1.33 0.31 l
+1.33 0.31 l
+1.33 0.30 l
+1.33 0.32 l
+1.32 0.31 l
+1.33 0.32 l
+1.33 0.33 l
+1.33 0.34 l
+1.33 0.35 l
+1.33 0.36 l
+1.33 0.37 l
+1.33 0.39 l
+1.33 0.40 l
+1.33 0.42 l
+1.33 0.43 l
+1.33 0.45 l
+1.33 0.47 l
+1.33 0.48 l
+1.33 0.51 l
+1.33 0.51 l
+1.33 0.54 l
+1.33 0.56 l
+1.33 0.56 l
+235.76 105.27 lineto
+1.33 0.60 l
+1.33 0.60 l
+1.33 0.61 l
+1.33 0.62 l
+1.33 0.63 l
+1.33 0.62 l
+1.33 0.63 l
+1.33 0.63 l
+1.33 0.62 l
+1.33 0.62 l
+1.33 0.61 l
+1.33 0.61 l
+1.33 0.59 l
+1.33 0.59 l
+1.33 0.58 l
+1.33 0.56 l
+1.33 0.55 l
+1.33 0.55 l
+1.33 0.53 l
+1.33 0.53 l
+1.33 0.51 l
+1.33 0.52 l
+1.33 0.50 l
+1.33 0.51 l
+1.33 0.51 l
+1.33 0.51 l
+1.33 0.53 l
+1.33 0.53 l
+1.33 0.55 l
+1.33 0.56 l
+1.32 0.59 l
+1.33 0.61 l
+1.33 0.65 l
+1.33 0.68 l
+1.33 0.71 l
+1.33 0.75 l
+1.33 0.80 l
+1.33 0.85 l
+1.33 0.89 l
+1.33 0.94 l
+1.33 0.99 l
+1.33 1.05 l
+1.33 1.11 l
+1.33 1.16 l
+1.33 1.21 l
+1.33 1.27 l
+1.33 1.32 l
+1.33 1.38 l
+1.33 1.42 l
+1.33 1.47 l
+1.33 1.51 l
+1.33 1.56 l
+1.33 1.58 l
+1.33 1.62 l
+1.33 1.64 l
+1.33 1.66 l
+1.33 1.68 l
+1.33 1.69 l
+1.33 1.69 l
+1.33 1.69 l
+1.33 1.68 l
+1.33 1.67 l
+1.33 1.65 l
+1.33 1.63 l
+1.33 1.60 l
+1.33 1.57 l
+1.33 1.53 l
+1.33 1.49 l
+1.33 1.45 l
+1.33 1.41 l
+1.33 1.37 l
+1.33 1.30 l
+1.33 1.26 l
+1.33 1.22 l
+1.33 1.17 l
+1.33 1.12 l
+1.33 1.06 l
+1.33 1.02 l
+1.33 0.98 l
+1.33 0.93 l
+1.32 0.90 l
+1.33 0.85 l
+1.33 0.81 l
+1.33 0.79 l
+1.33 0.76 l
+1.33 0.73 l
+1.33 0.70 l
+1.33 0.69 l
+1.33 0.67 l
+1.33 0.65 l
+1.33 0.65 l
+1.33 0.64 l
+1.33 0.64 l
+1.33 0.65 l
+1.33 0.64 l
+1.33 0.66 l
+1.33 0.68 l
+1.33 0.69 l
+1.33 0.71 l
+368.74 199.91 lineto
+1.33 0.77 l
+1.33 0.80 l
+1.33 0.84 l
+1.33 0.88 l
+1.33 0.91 l
+1.33 0.96 l
+1.33 1.02 l
+1.33 1.06 l
+1.33 1.11 l
+1.33 1.15 l
+1.33 1.21 l
+1.33 1.26 l
+1.33 1.31 l
+1.33 1.36 l
+1.33 1.39 l
+1.33 1.44 l
+1.33 1.49 l
+1.33 1.52 l
+1.33 1.55 l
+1.33 1.58 l
+1.33 1.61 l
+1.33 1.63 l
+1.33 1.63 l
+1.33 1.65 l
+1.33 1.65 l
+1.33 1.65 l
+1.33 1.65 l
+1.33 1.63 l
+1.33 1.61 l
+1.32 1.59 l
+1.33 1.57 l
+1.33 1.53 l
+1.33 1.50 l
+1.33 1.46 l
+1.33 1.42 l
+1.33 1.36 l
+1.33 1.31 l
+1.33 1.26 l
+1.33 1.20 l
+1.33 1.15 l
+1.33 1.07 l
+1.33 1.00 l
+1.33 0.94 l
+1.33 0.87 l
+1.33 0.79 l
+1.33 0.72 l
+1.33 0.63 l
+1.33 0.55 l
+1.33 0.47 l
+1.33 0.39 l
+1.33 0.30 l
+1.33 0.21 l
+1.33 0.12 l
+1.33 0.04 l
+1.33 -0.04 l
+1.33 -0.14 l
+1.33 -0.24 l
+1.33 -0.32 l
+1.33 -0.40 l
+1.33 -0.48 l
+1.33 -0.57 l
+1.33 -0.66 l
+1.33 -0.73 l
+1.33 -0.80 l
+1.33 -0.86 l
+1.33 -0.94 l
+1.33 -1.01 l
+1.33 -1.06 l
+1.33 -1.10 l
+1.33 -1.15 l
+1.33 -1.20 l
+1.33 -1.23 l
+1.33 -1.26 l
+1.33 -1.29 l
+1.33 -1.29 l
+1.33 -1.32 l
+1.33 -1.32 l
+1.33 -1.31 l
+1.33 -1.32 l
+1.32 -1.30 l
+1.33 -1.30 l
+1.33 -1.27 l
+1.33 -1.25 l
+1.33 -1.23 l
+1.33 -1.21 l
+1.33 -1.17 l
+1.33 -1.15 l
+1.33 -1.11 l
+1.33 -1.09 l
+1.33 -1.06 l
+1.33 -1.02 l
+1.33 -0.99 l
+1.33 -0.97 l
+1.33 -0.94 l
+1.33 -0.92 l
+1.33 -0.90 l
+1.33 -0.87 l
+1.33 -0.86 l
+1.33 -0.84 l
+501.72 217.36 lineto
+1.33 -0.81 l
+1.33 -0.81 l
+1.33 -0.80 l
+1.33 -0.80 l
+1.33 -0.79 l
+1.33 -0.80 l
+1.33 -0.80 l
+1.33 -0.80 l
+1.33 -0.81 l
+1.33 -0.82 l
+1.33 -0.83 l
+1.33 -0.84 l
+1.33 -0.86 l
+1.33 -0.88 l
+1.33 -0.90 l
+1.33 -0.93 l
+1.33 -0.95 l
+1.33 -0.98 l
+1.33 -1.01 l
+1.33 -1.04 l
+1.33 -1.09 l
+1.33 -1.13 l
+1.33 -1.16 l
+1.33 -1.21 l
+1.33 -1.25 l
+1.33 -1.30 l
+1.33 -1.35 l
+1.33 -1.40 l
+1.33 -1.44 l
+1.32 -1.48 l
+1.33 -1.54 l
+1.33 -1.58 l
+1.33 -1.62 l
+1.33 -1.66 l
+1.33 -1.69 l
+1.33 -1.73 l
+1.33 -1.76 l
+1.33 -1.78 l
+1.33 -1.79 l
+1.33 -1.81 l
+1.33 -1.82 l
+1.33 -1.83 l
+1.33 -1.82 l
+1.33 -1.81 l
+1.33 -1.81 l
+1.33 -1.79 l
+1.33 -1.77 l
+1.33 -1.74 l
+1.33 -1.73 l
+1.33 -1.69 l
+1.33 -1.65 l
+1.33 -1.62 l
+1.33 -1.59 l
+1.33 -1.55 l
+1.33 -1.52 l
+1.33 -1.47 l
+1.33 -1.43 l
+1.33 -1.40 l
+1.33 -1.37 l
+1.33 -1.33 l
+1.33 -1.29 l
+1.33 -1.25 l
+1.33 -1.23 l
+1.33 -1.20 l
+1.33 -1.16 l
+1.33 -1.14 l
+1.33 -1.11 l
+1.33 -1.08 l
+1.33 -1.06 l
+1.33 -1.04 l
+1.33 -1.00 l
+1.33 -0.99 l
+1.33 -0.96 l
+1.33 -0.94 l
+1.33 -0.92 l
+1.33 -0.90 l
+1.33 -0.87 l
+1.33 -0.85 l
+1.33 -0.83 l
+1.32 -0.81 l
+1.33 -0.79 l
+1.33 -0.76 l
+1.33 -0.75 l
+1.33 -0.73 l
+1.33 -0.70 l
+1.33 -0.69 l
+1.33 -0.67 l
+1.33 -0.65 l
+1.33 -0.64 l
+1.33 -0.62 l
+1.33 -0.61 l
+1.33 -0.59 l
+1.33 -0.59 l
+1.33 -0.57 l
+1.33 -0.57 l
+1.33 -0.56 l
+1.33 -0.56 l
+1.33 -0.55 l
+1.33 -0.55 l
+634.70 104.26 lineto
+1.33 -0.54 l
+1.33 -0.55 l
+1.33 -0.54 l
+1.33 -0.55 l
+1.33 -0.55 l
+1.33 -0.54 l
+1.33 -0.55 l
+1.33 -0.54 l
+1.33 -0.55 l
+1.33 -0.54 l
+1.33 -0.54 l
+1.33 -0.53 l
+1.33 -0.53 l
+1.33 -0.52 l
+1.33 -0.52 l
+1.33 -0.51 l
+1.33 -0.49 l
+1.33 -0.49 l
+1.33 -0.48 l
+1.33 -0.46 l
+1.33 -0.44 l
+1.33 -0.43 l
+1.33 -0.42 l
+1.33 -0.40 l
+1.33 -0.39 l
+1.33 -0.36 l
+1.33 -0.35 l
+1.33 -0.33 l
+1.33 -0.32 l
+1.32 -0.30 l
+1.33 -0.29 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.21 l
+1.33 -0.20 l
+1.33 -0.20 l
+1.33 -0.18 l
+1.33 -0.17 l
+1.33 -0.17 l
+1.33 -0.16 l
+1.33 -0.15 l
+1.33 -0.15 l
+1.33 -0.15 l
+1.33 -0.14 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.32 -0.06 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+767.68 82.81 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+142.32 75.60 m
+535.65 0 l
+o
+np
+142.32 75.60 m
+0 -3.60 l
+o
+np
+320.87 75.60 m
+0 -3.60 l
+o
+np
+499.42 75.60 m
+0 -3.60 l
+o
+np
+677.97 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+142.32 55.44 (0.74) .5 0 0 t
+320.87 55.44 (0.76) .5 0 0 t
+499.42 55.44 (0.78) .5 0 0 t
+677.97 55.44 (0.80) .5 0 0 t
+np
+75.60 82.75 m
+0 183.10 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 128.52 m
+-3.60 0 l
+o
+np
+75.60 174.30 m
+-3.60 0 l
+o
+np
+75.60 220.07 m
+-3.60 0 l
+o
+np
+75.60 265.85 m
+-3.60 0 l
+o
+64.08 82.75 (0) .5 0 90 t
+64.08 128.52 (10) .5 0 90 t
+64.08 174.30 (20) .5 0 90 t
+64.08 220.07 (30) .5 0 90 t
+64.08 265.85 (40) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 11 11
+bp
+18.00 437.46 823.89 577.28 cl
+18.00 437.46 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+56.02 478.54 147.88 34.85 r p3
+56.02 520.35 610.49 34.85 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+50.31 493.09 (Y = 0) 1 0 0 t
+50.31 534.91 (Y = 1) 1 0 0 t
+18.00 437.46 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 448.86 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 475.47 m
+758.37 0 l
+o
+np
+56.02 475.47 m
+0 -2.37 l
+o
+np
+207.69 475.47 m
+0 -2.37 l
+o
+np
+359.36 475.47 m
+0 -2.37 l
+o
+np
+511.04 475.47 m
+0 -2.37 l
+o
+np
+662.71 475.47 m
+0 -2.37 l
+o
+np
+814.39 475.47 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+56.02 462.17 (0) .5 0 0 t
+207.69 462.17 (20) .5 0 0 t
+359.36 462.17 (40) .5 0 0 t
+511.04 462.17 (60) .5 0 0 t
+662.71 462.17 (80) .5 0 0 t
+814.39 462.17 (100) .5 0 0 t
+56.02 335.65 814.39 418.45 cl
+56.02 335.65 814.39 418.45 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 338.72 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.04 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.06 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.07 l
+1.37 0.07 l
+1.38 0.08 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.09 l
+1.37 0.09 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.11 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.12 l
+1.38 0.11 l
+1.37 0.12 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.12 l
+1.38 0.13 l
+1.37 0.12 l
+1.37 0.13 l
+1.38 0.13 l
+1.37 0.12 l
+1.38 0.13 l
+1.37 0.13 l
+1.38 0.13 l
+221.52 344.16 lineto
+1.37 0.13 l
+1.38 0.14 l
+1.37 0.13 l
+1.38 0.14 l
+1.37 0.15 l
+1.37 0.14 l
+1.38 0.15 l
+1.37 0.15 l
+1.38 0.15 l
+1.37 0.15 l
+1.38 0.16 l
+1.37 0.16 l
+1.37 0.17 l
+1.38 0.17 l
+1.37 0.17 l
+1.38 0.17 l
+1.37 0.19 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.19 l
+1.38 0.20 l
+1.37 0.20 l
+1.38 0.21 l
+1.37 0.21 l
+1.37 0.22 l
+1.38 0.22 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.24 l
+1.37 0.24 l
+1.38 0.25 l
+1.37 0.26 l
+1.38 0.26 l
+1.37 0.26 l
+1.37 0.28 l
+1.38 0.28 l
+1.37 0.28 l
+1.38 0.29 l
+1.37 0.30 l
+1.38 0.30 l
+1.37 0.31 l
+1.37 0.32 l
+1.38 0.32 l
+1.37 0.33 l
+1.38 0.33 l
+1.37 0.34 l
+1.37 0.35 l
+1.38 0.35 l
+1.37 0.36 l
+1.38 0.36 l
+1.37 0.36 l
+1.38 0.37 l
+1.37 0.38 l
+1.37 0.38 l
+1.38 0.39 l
+1.37 0.39 l
+1.38 0.40 l
+1.37 0.40 l
+1.37 0.41 l
+1.38 0.41 l
+1.37 0.42 l
+1.38 0.43 l
+1.37 0.44 l
+1.38 0.44 l
+1.37 0.45 l
+1.37 0.46 l
+1.38 0.47 l
+1.37 0.48 l
+1.38 0.49 l
+1.37 0.50 l
+1.37 0.52 l
+1.38 0.52 l
+1.37 0.54 l
+1.38 0.54 l
+1.37 0.56 l
+1.38 0.57 l
+1.37 0.58 l
+1.37 0.60 l
+1.38 0.60 l
+1.37 0.61 l
+1.38 0.63 l
+1.37 0.63 l
+1.37 0.64 l
+1.38 0.65 l
+1.37 0.66 l
+1.38 0.67 l
+1.37 0.67 l
+1.38 0.69 l
+1.37 0.68 l
+1.37 0.70 l
+1.38 0.70 l
+1.37 0.70 l
+1.38 0.72 l
+1.37 0.71 l
+1.37 0.72 l
+1.38 0.73 l
+1.37 0.73 l
+1.38 0.74 l
+1.37 0.74 l
+358.94 383.63 lineto
+1.37 0.76 l
+1.37 0.75 l
+1.38 0.76 l
+1.37 0.76 l
+1.38 0.76 l
+1.37 0.77 l
+1.37 0.77 l
+1.38 0.78 l
+1.37 0.77 l
+1.38 0.77 l
+1.37 0.77 l
+1.38 0.77 l
+1.37 0.77 l
+1.37 0.76 l
+1.38 0.76 l
+1.37 0.75 l
+1.38 0.74 l
+1.37 0.74 l
+1.37 0.72 l
+1.38 0.71 l
+1.37 0.69 l
+1.38 0.68 l
+1.37 0.66 l
+1.37 0.64 l
+1.38 0.63 l
+1.37 0.60 l
+1.38 0.57 l
+1.37 0.55 l
+1.38 0.53 l
+1.37 0.51 l
+1.37 0.47 l
+1.38 0.45 l
+1.37 0.42 l
+1.38 0.40 l
+1.37 0.37 l
+1.37 0.35 l
+1.38 0.31 l
+1.37 0.30 l
+1.38 0.27 l
+1.37 0.25 l
+1.38 0.23 l
+1.37 0.21 l
+1.37 0.20 l
+1.38 0.18 l
+1.37 0.18 l
+1.38 0.16 l
+1.37 0.15 l
+1.37 0.15 l
+1.38 0.15 l
+1.37 0.15 l
+1.38 0.15 l
+1.37 0.15 l
+1.38 0.16 l
+1.37 0.17 l
+1.37 0.17 l
+1.38 0.18 l
+1.37 0.19 l
+1.38 0.20 l
+1.37 0.20 l
+1.37 0.22 l
+1.38 0.22 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.24 l
+1.38 0.24 l
+1.37 0.24 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.22 l
+1.38 0.22 l
+1.37 0.20 l
+1.37 0.19 l
+1.38 0.16 l
+1.37 0.15 l
+1.38 0.14 l
+1.37 0.10 l
+1.38 0.08 l
+1.37 0.06 l
+1.37 0.03 l
+1.38 0 l
+1.37 -0.02 l
+1.38 -0.06 l
+1.37 -0.08 l
+1.37 -0.11 l
+1.38 -0.13 l
+1.37 -0.16 l
+1.38 -0.19 l
+1.37 -0.21 l
+1.38 -0.23 l
+1.37 -0.24 l
+1.37 -0.26 l
+1.38 -0.28 l
+1.37 -0.29 l
+1.38 -0.29 l
+1.37 -0.31 l
+1.37 -0.30 l
+1.38 -0.31 l
+1.37 -0.32 l
+1.38 -0.30 l
+496.35 410.98 lineto
+1.38 -0.31 l
+1.37 -0.29 l
+1.37 -0.30 l
+1.38 -0.29 l
+1.37 -0.28 l
+1.38 -0.28 l
+1.37 -0.28 l
+1.37 -0.27 l
+1.38 -0.27 l
+1.37 -0.28 l
+1.38 -0.28 l
+1.37 -0.29 l
+1.37 -0.30 l
+1.38 -0.31 l
+1.37 -0.32 l
+1.38 -0.34 l
+1.37 -0.36 l
+1.38 -0.39 l
+1.37 -0.41 l
+1.37 -0.43 l
+1.38 -0.47 l
+1.37 -0.50 l
+1.38 -0.53 l
+1.37 -0.57 l
+1.37 -0.59 l
+1.38 -0.63 l
+1.37 -0.67 l
+1.38 -0.71 l
+1.37 -0.73 l
+1.38 -0.76 l
+1.37 -0.79 l
+1.37 -0.82 l
+1.38 -0.84 l
+1.37 -0.87 l
+1.38 -0.87 l
+1.37 -0.90 l
+1.37 -0.90 l
+1.38 -0.91 l
+1.37 -0.92 l
+1.38 -0.91 l
+1.37 -0.92 l
+1.38 -0.90 l
+1.37 -0.89 l
+1.37 -0.88 l
+1.38 -0.87 l
+1.37 -0.85 l
+1.38 -0.83 l
+1.37 -0.80 l
+1.37 -0.79 l
+1.38 -0.76 l
+1.37 -0.74 l
+1.38 -0.71 l
+1.37 -0.68 l
+1.38 -0.66 l
+1.37 -0.65 l
+1.37 -0.62 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.38 -0.56 l
+1.37 -0.55 l
+1.37 -0.54 l
+1.38 -0.52 l
+1.37 -0.51 l
+1.38 -0.50 l
+1.37 -0.50 l
+1.38 -0.50 l
+1.37 -0.49 l
+1.37 -0.49 l
+1.38 -0.50 l
+1.37 -0.49 l
+1.38 -0.50 l
+1.37 -0.50 l
+1.37 -0.51 l
+1.38 -0.52 l
+1.37 -0.52 l
+1.38 -0.52 l
+1.37 -0.53 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.37 -0.55 l
+1.38 -0.55 l
+1.37 -0.55 l
+1.38 -0.56 l
+1.37 -0.56 l
+1.37 -0.56 l
+1.38 -0.56 l
+1.37 -0.56 l
+1.38 -0.56 l
+1.37 -0.55 l
+1.37 -0.55 l
+1.38 -0.55 l
+1.37 -0.55 l
+1.38 -0.54 l
+1.37 -0.53 l
+1.38 -0.52 l
+1.37 -0.52 l
+1.37 -0.51 l
+1.38 -0.50 l
+1.37 -0.49 l
+633.77 353.96 lineto
+1.37 -0.47 l
+1.37 -0.46 l
+1.38 -0.45 l
+1.37 -0.43 l
+1.38 -0.43 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.39 l
+1.37 -0.37 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.38 -0.33 l
+1.37 -0.32 l
+1.37 -0.31 l
+1.38 -0.29 l
+1.37 -0.28 l
+1.38 -0.26 l
+1.37 -0.26 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.22 l
+1.38 -0.20 l
+1.37 -0.19 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.08 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+771.18 338.78 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+61.77 335.65 m
+736.59 0 l
+o
+np
+61.77 335.65 m
+0 -2.37 l
+o
+np
+245.92 335.65 m
+0 -2.37 l
+o
+np
+430.07 335.65 m
+0 -2.37 l
+o
+np
+614.21 335.65 m
+0 -2.37 l
+o
+np
+798.36 335.65 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+61.77 322.35 (0.78) .5 0 0 t
+245.92 322.35 (0.80) .5 0 0 t
+430.07 322.35 (0.82) .5 0 0 t
+614.21 322.35 (0.84) .5 0 0 t
+798.36 322.35 (0.86) .5 0 0 t
+np
+56.02 338.72 m
+0 62.05 l
+o
+np
+56.02 338.72 m
+-2.38 0 l
+o
+np
+56.02 359.40 m
+-2.38 0 l
+o
+np
+56.02 380.09 m
+-2.38 0 l
+o
+np
+56.02 400.77 m
+-2.38 0 l
+o
+48.41 338.72 (0) .5 0 90 t
+48.41 359.40 (10) .5 0 90 t
+48.41 380.09 (20) .5 0 90 t
+48.41 400.77 (30) .5 0 90 t
+np
+56.02 335.65 m
+758.37 0 l
+0 82.80 l
+-758.37 0 l
+0 -82.80 l
+o
+18.00 297.64 823.89 437.46 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 424.36 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 377.05 (Density) .5 0 90 t
+56.02 335.65 814.39 418.45 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 338.72 m
+758.37 0 l
+o
+56.02 195.83 814.39 278.63 cl
+56.02 195.83 814.39 278.63 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 198.90 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.06 l
+1.37 0.07 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.10 l
+1.38 0.11 l
+1.37 0.12 l
+1.37 0.12 l
+1.38 0.14 l
+1.37 0.15 l
+1.38 0.17 l
+1.37 0.18 l
+1.37 0.19 l
+1.38 0.21 l
+1.37 0.23 l
+1.38 0.25 l
+1.37 0.27 l
+1.38 0.28 l
+1.37 0.31 l
+1.37 0.32 l
+1.38 0.35 l
+1.37 0.37 l
+1.38 0.39 l
+1.37 0.40 l
+1.37 0.43 l
+1.38 0.44 l
+1.37 0.47 l
+1.38 0.48 l
+1.37 0.50 l
+1.38 0.51 l
+221.52 209.01 lineto
+1.37 0.54 l
+1.38 0.55 l
+1.37 0.56 l
+1.38 0.57 l
+1.37 0.58 l
+1.37 0.58 l
+1.38 0.58 l
+1.37 0.59 l
+1.38 0.59 l
+1.37 0.60 l
+1.38 0.59 l
+1.37 0.59 l
+1.37 0.59 l
+1.38 0.58 l
+1.37 0.59 l
+1.38 0.58 l
+1.37 0.58 l
+1.37 0.57 l
+1.38 0.57 l
+1.37 0.57 l
+1.38 0.56 l
+1.37 0.56 l
+1.38 0.56 l
+1.37 0.55 l
+1.37 0.56 l
+1.38 0.55 l
+1.37 0.55 l
+1.38 0.55 l
+1.37 0.55 l
+1.37 0.56 l
+1.38 0.55 l
+1.37 0.56 l
+1.38 0.56 l
+1.37 0.56 l
+1.37 0.57 l
+1.38 0.57 l
+1.37 0.58 l
+1.38 0.58 l
+1.37 0.58 l
+1.38 0.59 l
+1.37 0.60 l
+1.37 0.60 l
+1.38 0.61 l
+1.37 0.61 l
+1.38 0.62 l
+1.37 0.62 l
+1.37 0.62 l
+1.38 0.64 l
+1.37 0.63 l
+1.38 0.64 l
+1.37 0.65 l
+1.38 0.65 l
+1.37 0.66 l
+1.37 0.66 l
+1.38 0.67 l
+1.37 0.68 l
+1.38 0.68 l
+1.37 0.69 l
+1.37 0.70 l
+1.38 0.71 l
+1.37 0.72 l
+1.38 0.72 l
+1.37 0.74 l
+1.38 0.74 l
+1.37 0.76 l
+1.37 0.76 l
+1.38 0.77 l
+1.37 0.79 l
+1.38 0.79 l
+1.37 0.80 l
+1.37 0.80 l
+1.38 0.82 l
+1.37 0.82 l
+1.38 0.82 l
+1.37 0.83 l
+1.38 0.82 l
+1.37 0.83 l
+1.37 0.83 l
+1.38 0.83 l
+1.37 0.82 l
+1.38 0.82 l
+1.37 0.82 l
+1.37 0.80 l
+1.38 0.79 l
+1.37 0.79 l
+1.38 0.77 l
+1.37 0.75 l
+1.38 0.74 l
+1.37 0.72 l
+1.37 0.70 l
+1.38 0.68 l
+1.37 0.65 l
+1.38 0.63 l
+1.37 0.60 l
+1.37 0.57 l
+1.38 0.53 l
+1.37 0.51 l
+1.38 0.48 l
+1.37 0.43 l
+358.94 273.74 lineto
+1.37 0.35 l
+1.37 0.33 l
+1.38 0.28 l
+1.37 0.25 l
+1.38 0.19 l
+1.37 0.16 l
+1.37 0.12 l
+1.38 0.09 l
+1.37 0.04 l
+1.38 0.01 l
+1.37 -0.03 l
+1.38 -0.06 l
+1.37 -0.09 l
+1.37 -0.13 l
+1.38 -0.14 l
+1.37 -0.17 l
+1.38 -0.20 l
+1.37 -0.21 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.24 l
+1.38 -0.25 l
+1.37 -0.25 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.38 -0.20 l
+1.37 -0.19 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.16 l
+1.38 -0.17 l
+1.37 -0.19 l
+1.37 -0.20 l
+1.38 -0.23 l
+1.37 -0.26 l
+1.38 -0.29 l
+1.37 -0.33 l
+1.37 -0.35 l
+1.38 -0.39 l
+1.37 -0.42 l
+1.38 -0.47 l
+1.37 -0.50 l
+1.38 -0.52 l
+1.37 -0.56 l
+1.37 -0.58 l
+1.38 -0.62 l
+1.37 -0.63 l
+1.38 -0.65 l
+1.37 -0.67 l
+1.37 -0.67 l
+1.38 -0.69 l
+1.37 -0.68 l
+1.38 -0.68 l
+1.37 -0.68 l
+1.38 -0.67 l
+1.37 -0.66 l
+1.37 -0.64 l
+1.38 -0.63 l
+1.37 -0.61 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.37 -0.57 l
+1.38 -0.54 l
+1.37 -0.54 l
+1.38 -0.52 l
+1.37 -0.51 l
+1.38 -0.51 l
+1.37 -0.50 l
+1.37 -0.51 l
+1.38 -0.51 l
+1.37 -0.52 l
+1.38 -0.53 l
+1.37 -0.55 l
+1.37 -0.56 l
+1.38 -0.59 l
+1.37 -0.61 l
+1.38 -0.64 l
+1.37 -0.66 l
+1.38 -0.70 l
+1.37 -0.72 l
+1.37 -0.76 l
+1.38 -0.78 l
+1.37 -0.81 l
+1.38 -0.84 l
+1.37 -0.86 l
+1.37 -0.89 l
+1.38 -0.90 l
+1.37 -0.92 l
+1.38 -0.94 l
+496.35 235.01 lineto
+1.38 -0.94 l
+1.37 -0.96 l
+1.37 -0.95 l
+1.38 -0.94 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.92 l
+1.37 -0.90 l
+1.38 -0.89 l
+1.37 -0.87 l
+1.38 -0.85 l
+1.37 -0.83 l
+1.37 -0.80 l
+1.38 -0.79 l
+1.37 -0.76 l
+1.38 -0.73 l
+1.37 -0.72 l
+1.38 -0.69 l
+1.37 -0.66 l
+1.37 -0.64 l
+1.38 -0.62 l
+1.37 -0.59 l
+1.38 -0.56 l
+1.37 -0.54 l
+1.37 -0.51 l
+1.38 -0.49 l
+1.37 -0.47 l
+1.38 -0.44 l
+1.37 -0.42 l
+1.38 -0.39 l
+1.37 -0.37 l
+1.37 -0.36 l
+1.38 -0.33 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.29 l
+1.37 -0.27 l
+1.38 -0.26 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.24 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.25 l
+1.38 -0.25 l
+1.37 -0.25 l
+1.38 -0.26 l
+1.37 -0.25 l
+1.37 -0.25 l
+1.38 -0.26 l
+1.37 -0.25 l
+1.38 -0.25 l
+1.37 -0.24 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.19 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.37 -0.14 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+633.77 201.16 lineto
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+771.18 198.93 lineto
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+60.91 195.83 m
+705.20 0 l
+o
+np
+60.91 195.83 m
+0 -2.37 l
+o
+np
+201.95 195.83 m
+0 -2.37 l
+o
+np
+342.99 195.83 m
+0 -2.37 l
+o
+np
+484.03 195.83 m
+0 -2.37 l
+o
+np
+625.07 195.83 m
+0 -2.37 l
+o
+np
+766.11 195.83 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+60.91 182.53 (-0.16) .5 0 0 t
+201.95 182.53 (-0.14) .5 0 0 t
+342.99 182.53 (-0.12) .5 0 0 t
+484.03 182.53 (-0.10) .5 0 0 t
+625.07 182.53 (-0.08) .5 0 0 t
+766.11 182.53 (-0.06) .5 0 0 t
+np
+56.02 198.90 m
+0 69.22 l
+o
+np
+56.02 198.90 m
+-2.38 0 l
+o
+np
+56.02 210.43 m
+-2.38 0 l
+o
+np
+56.02 221.97 m
+-2.38 0 l
+o
+np
+56.02 233.51 m
+-2.38 0 l
+o
+np
+56.02 245.05 m
+-2.38 0 l
+o
+np
+56.02 256.58 m
+-2.38 0 l
+o
+np
+56.02 268.12 m
+-2.38 0 l
+o
+48.41 198.90 (0) .5 0 90 t
+48.41 210.43 (5) .5 0 90 t
+48.41 233.51 (15) .5 0 90 t
+48.41 256.58 (25) .5 0 90 t
+np
+56.02 195.83 m
+758.37 0 l
+0 82.80 l
+-758.37 0 l
+0 -82.80 l
+o
+18.00 157.82 823.89 297.64 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 284.54 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 237.23 (Density) .5 0 90 t
+56.02 195.83 814.39 278.63 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 198.90 m
+758.37 0 l
+o
+56.02 56.02 814.39 138.81 cl
+56.02 56.02 814.39 138.81 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 59.08 m
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.09 l
+1.37 0.10 l
+1.38 0.12 l
+1.37 0.13 l
+1.38 0.15 l
+1.37 0.16 l
+1.37 0.17 l
+1.38 0.18 l
+1.37 0.20 l
+1.38 0.21 l
+1.37 0.22 l
+1.38 0.24 l
+1.37 0.25 l
+1.37 0.27 l
+1.38 0.28 l
+1.37 0.29 l
+1.38 0.30 l
+1.37 0.32 l
+1.37 0.33 l
+1.38 0.34 l
+1.37 0.35 l
+1.38 0.37 l
+1.37 0.38 l
+1.38 0.39 l
+221.52 66.73 lineto
+1.37 0.42 l
+1.38 0.44 l
+1.37 0.45 l
+1.38 0.46 l
+1.37 0.48 l
+1.37 0.49 l
+1.38 0.50 l
+1.37 0.52 l
+1.38 0.53 l
+1.37 0.55 l
+1.38 0.56 l
+1.37 0.56 l
+1.37 0.58 l
+1.38 0.60 l
+1.37 0.60 l
+1.38 0.61 l
+1.37 0.61 l
+1.37 0.63 l
+1.38 0.63 l
+1.37 0.63 l
+1.38 0.65 l
+1.37 0.64 l
+1.38 0.65 l
+1.37 0.66 l
+1.37 0.65 l
+1.38 0.66 l
+1.37 0.67 l
+1.38 0.66 l
+1.37 0.67 l
+1.37 0.67 l
+1.38 0.67 l
+1.37 0.67 l
+1.38 0.67 l
+1.37 0.67 l
+1.37 0.68 l
+1.38 0.67 l
+1.37 0.68 l
+1.38 0.67 l
+1.37 0.67 l
+1.38 0.67 l
+1.37 0.66 l
+1.37 0.67 l
+1.38 0.65 l
+1.37 0.66 l
+1.38 0.64 l
+1.37 0.65 l
+1.37 0.63 l
+1.38 0.63 l
+1.37 0.63 l
+1.38 0.62 l
+1.37 0.61 l
+1.38 0.61 l
+1.37 0.61 l
+1.37 0.60 l
+1.38 0.61 l
+1.37 0.60 l
+1.38 0.60 l
+1.37 0.61 l
+1.37 0.61 l
+1.38 0.62 l
+1.37 0.62 l
+1.38 0.63 l
+1.37 0.64 l
+1.38 0.65 l
+1.37 0.67 l
+1.37 0.68 l
+1.38 0.68 l
+1.37 0.71 l
+1.38 0.71 l
+1.37 0.73 l
+1.37 0.73 l
+1.38 0.76 l
+1.37 0.76 l
+1.38 0.77 l
+1.37 0.77 l
+1.38 0.79 l
+1.37 0.79 l
+1.37 0.80 l
+1.38 0.80 l
+1.37 0.79 l
+1.38 0.80 l
+1.37 0.80 l
+1.37 0.79 l
+1.38 0.79 l
+1.37 0.78 l
+1.38 0.77 l
+1.37 0.77 l
+1.38 0.75 l
+1.37 0.73 l
+1.37 0.73 l
+1.38 0.70 l
+1.37 0.69 l
+1.38 0.68 l
+1.37 0.64 l
+1.37 0.63 l
+1.38 0.61 l
+1.37 0.59 l
+1.38 0.56 l
+1.37 0.53 l
+358.94 131.73 lineto
+1.37 0.47 l
+1.37 0.45 l
+1.38 0.43 l
+1.37 0.39 l
+1.38 0.36 l
+1.37 0.33 l
+1.37 0.30 l
+1.38 0.26 l
+1.37 0.24 l
+1.38 0.20 l
+1.37 0.17 l
+1.38 0.14 l
+1.37 0.11 l
+1.37 0.08 l
+1.38 0.06 l
+1.37 0.02 l
+1.38 0 l
+1.37 -0.02 l
+1.37 -0.04 l
+1.38 -0.06 l
+1.37 -0.08 l
+1.38 -0.09 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.37 -0.12 l
+1.38 -0.13 l
+1.37 -0.14 l
+1.38 -0.15 l
+1.37 -0.17 l
+1.38 -0.18 l
+1.37 -0.21 l
+1.37 -0.23 l
+1.38 -0.25 l
+1.37 -0.29 l
+1.38 -0.32 l
+1.37 -0.35 l
+1.37 -0.39 l
+1.38 -0.41 l
+1.37 -0.46 l
+1.38 -0.49 l
+1.37 -0.53 l
+1.38 -0.55 l
+1.37 -0.58 l
+1.37 -0.61 l
+1.38 -0.63 l
+1.37 -0.65 l
+1.38 -0.67 l
+1.37 -0.68 l
+1.37 -0.69 l
+1.38 -0.70 l
+1.37 -0.70 l
+1.38 -0.70 l
+1.37 -0.69 l
+1.38 -0.69 l
+1.37 -0.68 l
+1.37 -0.68 l
+1.38 -0.65 l
+1.37 -0.65 l
+1.38 -0.63 l
+1.37 -0.62 l
+1.37 -0.60 l
+1.38 -0.59 l
+1.37 -0.57 l
+1.38 -0.56 l
+1.37 -0.55 l
+1.38 -0.53 l
+1.37 -0.53 l
+1.37 -0.52 l
+1.38 -0.52 l
+1.37 -0.52 l
+1.38 -0.51 l
+1.37 -0.52 l
+1.37 -0.52 l
+1.38 -0.53 l
+1.37 -0.54 l
+1.38 -0.55 l
+1.37 -0.57 l
+1.38 -0.58 l
+1.37 -0.60 l
+1.37 -0.62 l
+1.38 -0.65 l
+1.37 -0.66 l
+1.38 -0.69 l
+1.37 -0.72 l
+1.37 -0.73 l
+1.38 -0.77 l
+1.37 -0.78 l
+1.38 -0.81 l
+496.35 98.96 lineto
+1.38 -0.84 l
+1.37 -0.87 l
+1.37 -0.87 l
+1.38 -0.89 l
+1.37 -0.89 l
+1.38 -0.90 l
+1.37 -0.91 l
+1.37 -0.90 l
+1.38 -0.91 l
+1.37 -0.89 l
+1.38 -0.90 l
+1.37 -0.88 l
+1.37 -0.88 l
+1.38 -0.85 l
+1.37 -0.85 l
+1.38 -0.83 l
+1.37 -0.81 l
+1.38 -0.79 l
+1.37 -0.78 l
+1.37 -0.75 l
+1.38 -0.73 l
+1.37 -0.71 l
+1.38 -0.68 l
+1.37 -0.67 l
+1.37 -0.64 l
+1.38 -0.62 l
+1.37 -0.60 l
+1.38 -0.57 l
+1.37 -0.56 l
+1.38 -0.53 l
+1.37 -0.51 l
+1.37 -0.48 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.38 -0.42 l
+1.37 -0.40 l
+1.37 -0.38 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.38 -0.32 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.28 l
+1.37 -0.26 l
+1.38 -0.26 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.23 l
+1.37 -0.22 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.21 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.37 -0.20 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.37 -0.21 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.37 -0.19 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.17 l
+1.38 -0.17 l
+1.37 -0.15 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.07 l
+1.37 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+633.77 61.15 lineto
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+771.18 59.11 lineto
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+142.50 56.02 m
+597.42 0 l
+o
+np
+142.50 56.02 m
+0 -2.38 l
+o
+np
+261.98 56.02 m
+0 -2.38 l
+o
+np
+381.47 56.02 m
+0 -2.38 l
+o
+np
+500.95 56.02 m
+0 -2.38 l
+o
+np
+620.43 56.02 m
+0 -2.38 l
+o
+np
+739.92 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+142.50 42.71 (0.82) .5 0 0 t
+261.98 42.71 (0.84) .5 0 0 t
+381.47 42.71 (0.86) .5 0 0 t
+500.95 42.71 (0.88) .5 0 0 t
+620.43 42.71 (0.90) .5 0 0 t
+739.92 42.71 (0.92) .5 0 0 t
+np
+56.02 59.08 m
+0 68.47 l
+o
+np
+56.02 59.08 m
+-2.38 0 l
+o
+np
+56.02 72.77 m
+-2.38 0 l
+o
+np
+56.02 86.47 m
+-2.38 0 l
+o
+np
+56.02 100.16 m
+-2.38 0 l
+o
+np
+56.02 113.85 m
+-2.38 0 l
+o
+np
+56.02 127.55 m
+-2.38 0 l
+o
+48.41 59.08 (0) .5 0 90 t
+48.41 72.77 (5) .5 0 90 t
+48.41 86.47 (10) .5 0 90 t
+48.41 113.85 (20) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 82.79 l
+-758.37 0 l
+0 -82.79 l
+o
+18.00 18.00 823.89 157.82 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 144.72 (Risk Ratios: P\(Y=1|X1\)/P\(Y=1|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 97.41 (Density) .5 0 90 t
+56.02 56.02 814.39 138.81 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 59.08 m
+758.37 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 12 12
+bp
+77.04 371.08 793.65 518.24 cl
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+77.04 371.08 m
+716.61 0 l
+o
+np
+77.04 371.08 m
+0 -7.20 l
+o
+np
+220.36 371.08 m
+0 -7.20 l
+o
+np
+363.68 371.08 m
+0 -7.20 l
+o
+np
+507.01 371.08 m
+0 -7.20 l
+o
+np
+650.33 371.08 m
+0 -7.20 l
+o
+np
+793.65 371.08 m
+0 -7.20 l
+o
+/ps 12 def /Font1 findfont 12 s
+77.04 345.16 (0.0) .5 0 0 t
+220.36 345.16 (0.2) .5 0 0 t
+363.68 345.16 (0.4) .5 0 0 t
+507.01 345.16 (0.6) .5 0 0 t
+650.33 345.16 (0.8) .5 0 0 t
+793.65 345.16 (1.0) .5 0 0 t
+np
+77.04 371.08 m
+0 147.16 l
+o
+np
+77.04 371.08 m
+-7.20 0 l
+o
+np
+77.04 400.51 m
+-7.20 0 l
+o
+np
+77.04 429.94 m
+-7.20 0 l
+o
+np
+77.04 459.37 m
+-7.20 0 l
+o
+np
+77.04 488.80 m
+-7.20 0 l
+o
+np
+77.04 518.24 m
+-7.20 0 l
+o
+59.76 371.08 (0.0) .5 0 90 t
+59.76 400.51 (0.2) .5 0 90 t
+59.76 429.94 (0.4) .5 0 90 t
+59.76 459.37 (0.6) .5 0 90 t
+59.76 488.80 (0.8) .5 0 90 t
+59.76 518.24 (1.0) .5 0 90 t
+np
+77.04 371.08 m
+716.61 0 l
+0 147.16 l
+-716.61 0 l
+0 -147.16 l
+o
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+435.34 542.73 (ROC Curve) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+435.34 316.36 (Proportion of 1's Correctly Predicted) .5 0 0 t
+30.96 444.66 (Proportion of 0's Correctly Predicted) .5 0 90 t
+77.04 371.08 793.65 518.24 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+793.65 371.08 m
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0.29 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+-0.48 0 l
+0 0 l
+-0.48 0 l
+0 0 l
+0 0 l
+0 0.58 l
+0 0 l
+-0.48 0.29 l
+0 0 l
+0 0.29 l
+0 0.87 l
+-0.48 0 l
+-0.48 0.28 l
+-0.48 0 l
+-0.48 0 l
+-0.48 0.29 l
+0 0.58 l
+-0.48 0.87 l
+-0.96 0.58 l
+0 0.58 l
+0 0.29 l
+-0.96 0.87 l
+-1.93 0.29 l
+-1.92 0.58 l
+-0.48 0.58 l
+-0.48 1.74 l
+-0.48 0.58 l
+0 0.29 l
+-2.40 0.29 l
+-2.88 0.86 l
+-1.92 1.16 l
+-1.44 0.58 l
+-0.96 1.16 l
+-3.37 2.03 l
+-3.84 0.29 l
+-2.88 1.45 l
+-2.40 2.31 l
+-4.32 4.06 l
+-5.29 3.19 l
+-4.80 2.31 l
+-3.84 3.19 l
+-5.77 3.48 l
+-7.68 0.29 l
+-3.84 2.02 l
+-10.09 2.61 l
+-6.72 2.90 l
+-10.09 3.47 l
+-10.09 2.90 l
+-15.85 6.66 l
+-9.12 3.77 l
+-16.33 3.19 l
+-14.41 5.50 l
+-13.45 4.64 l
+-14.41 6.08 l
+-14.41 4.92 l
+-21.13 3.48 l
+-18.73 4.92 l
+-25.94 3.77 l
+-19.69 4.06 l
+-20.65 4.63 l
+-29.78 2.90 l
+-20.66 4.05 l
+-19.21 4.93 l
+-21.61 4.34 l
+-25.94 4.64 l
+-24.97 1.74 l
+-29.78 2.02 l
+-23.06 1.74 l
+-30.26 3.19 l
+-17.29 2.60 l
+-24.49 2.03 l
+-20.18 1.16 l
+-19.21 0.87 l
+-20.17 1.45 l
+-15.85 0.87 l
+-12.49 0.58 l
+-16.33 0.58 l
+-14.41 0.29 l
+-13.93 0.29 l
+-4.80 0 l
+-1.44 0 l
+-0.48 0 l
+0 0 l
+o
+0.75 setlinewidth
+[ 3.00 5.00] 0 setdash
+np
+793.65 371.08 m
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+-0.48 0.58 l
+0 0 l
+-0.48 0.29 l
+0 0.58 l
+0 0 l
+0 0 l
+-0.48 0 l
+0 0 l
+0 0 l
+0 0 l
+-2.88 2.89 l
+0 0 l
+0 0.29 l
+-1.92 0.58 l
+0 0.29 l
+0 0 l
+0 0 l
+-1.45 1.16 l
+0 0 l
+0 0 l
+0 0 l
+-4.80 1.45 l
+0 0 l
+0 0 l
+0 0 l
+-7.20 2.32 l
+0 0 l
+0 0 l
+0 0 l
+-11.53 4.34 l
+0 0 l
+0 0 l
+0 0 l
+-10.57 4.64 l
+0 0 l
+0 0 l
+0 0 l
+-14.89 8.11 l
+0 0 l
+0 0 l
+-4.80 2.89 l
+-41.79 14.49 l
+0 0 l
+0 0 l
+-42.74 14.77 l
+0 0 l
+0 0 l
+-4.80 0.87 l
+-28.34 12.46 l
+0 0 l
+0 0 l
+-30.74 7.82 l
+0 0 l
+0 0 l
+-227.18 39.68 l
+0 0 l
+-10.09 0.58 l
+-34.58 6.09 l
+0 0 l
+-82.13 9.85 l
+0 0 l
+-14.41 2.02 l
+0 0 l
+-81.65 5.80 l
+0 0 l
+-15.37 1.16 l
+0 0 l
+0 0 l
+-41.31 1.16 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+0 0 l
+o
+0.75 setlinewidth
+[ 0.00 4.00] 0 setdash
+np
+77.04 518.24 m
+716.61 -147.16 l
+o
+ep
+%%Page: 13 13
+bp
+56.02 428.87 814.39 558.27 cl
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 433.66 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.07 l
+1.37 0.07 l
+1.38 0.08 l
+1.37 0.09 l
+1.37 0.09 l
+1.38 0.11 l
+1.37 0.11 l
+1.38 0.13 l
+1.37 0.13 l
+1.38 0.14 l
+1.37 0.16 l
+1.37 0.16 l
+1.38 0.17 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.20 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.25 l
+1.38 0.25 l
+221.52 437.80 lineto
+1.37 0.27 l
+1.38 0.29 l
+1.37 0.29 l
+1.38 0.32 l
+1.37 0.32 l
+1.37 0.34 l
+1.38 0.36 l
+1.37 0.37 l
+1.38 0.39 l
+1.37 0.42 l
+1.38 0.43 l
+1.37 0.45 l
+1.37 0.48 l
+1.38 0.51 l
+1.37 0.53 l
+1.38 0.56 l
+1.37 0.59 l
+1.37 0.61 l
+1.38 0.64 l
+1.37 0.68 l
+1.38 0.70 l
+1.37 0.74 l
+1.38 0.76 l
+1.37 0.80 l
+1.37 0.82 l
+1.38 0.86 l
+1.37 0.89 l
+1.38 0.92 l
+1.37 0.95 l
+1.37 0.97 l
+1.38 1.00 l
+1.37 1.03 l
+1.38 1.06 l
+1.37 1.07 l
+1.37 1.10 l
+1.38 1.12 l
+1.37 1.14 l
+1.38 1.16 l
+1.37 1.17 l
+1.38 1.19 l
+1.37 1.19 l
+1.37 1.21 l
+1.38 1.21 l
+1.37 1.21 l
+1.38 1.21 l
+1.37 1.22 l
+1.37 1.21 l
+1.38 1.20 l
+1.37 1.20 l
+1.38 1.18 l
+1.37 1.18 l
+1.38 1.17 l
+1.37 1.16 l
+1.37 1.15 l
+1.38 1.14 l
+1.37 1.13 l
+1.38 1.13 l
+1.37 1.13 l
+1.37 1.13 l
+1.38 1.13 l
+1.37 1.13 l
+1.38 1.15 l
+1.37 1.17 l
+1.38 1.18 l
+1.37 1.20 l
+1.37 1.22 l
+1.38 1.26 l
+1.37 1.28 l
+1.38 1.31 l
+1.37 1.33 l
+1.37 1.37 l
+1.38 1.38 l
+1.37 1.42 l
+1.38 1.43 l
+1.37 1.44 l
+1.38 1.46 l
+1.37 1.46 l
+1.37 1.46 l
+1.38 1.45 l
+1.37 1.45 l
+1.38 1.42 l
+1.37 1.40 l
+1.37 1.38 l
+1.38 1.35 l
+1.37 1.30 l
+1.38 1.27 l
+1.37 1.24 l
+1.38 1.19 l
+1.37 1.15 l
+1.37 1.12 l
+1.38 1.07 l
+1.37 1.03 l
+1.38 0.99 l
+1.37 0.96 l
+1.37 0.93 l
+1.38 0.90 l
+1.37 0.86 l
+1.38 0.83 l
+1.37 0.81 l
+358.94 538.12 lineto
+1.37 0.76 l
+1.37 0.73 l
+1.38 0.71 l
+1.37 0.68 l
+1.38 0.67 l
+1.37 0.64 l
+1.37 0.62 l
+1.38 0.60 l
+1.37 0.58 l
+1.38 0.56 l
+1.37 0.55 l
+1.38 0.53 l
+1.37 0.51 l
+1.37 0.50 l
+1.38 0.49 l
+1.37 0.48 l
+1.38 0.47 l
+1.37 0.46 l
+1.37 0.45 l
+1.38 0.45 l
+1.37 0.45 l
+1.38 0.43 l
+1.37 0.42 l
+1.37 0.41 l
+1.38 0.40 l
+1.37 0.37 l
+1.38 0.35 l
+1.37 0.31 l
+1.38 0.27 l
+1.37 0.22 l
+1.37 0.17 l
+1.38 0.10 l
+1.37 0.01 l
+1.38 -0.06 l
+1.37 -0.15 l
+1.37 -0.24 l
+1.38 -0.34 l
+1.37 -0.45 l
+1.38 -0.58 l
+1.37 -0.68 l
+1.38 -0.79 l
+1.37 -0.90 l
+1.37 -1.01 l
+1.38 -1.11 l
+1.37 -1.22 l
+1.38 -1.31 l
+1.37 -1.39 l
+1.37 -1.46 l
+1.38 -1.51 l
+1.37 -1.57 l
+1.38 -1.62 l
+1.37 -1.63 l
+1.38 -1.65 l
+1.37 -1.65 l
+1.37 -1.65 l
+1.38 -1.64 l
+1.37 -1.61 l
+1.38 -1.57 l
+1.37 -1.54 l
+1.37 -1.50 l
+1.38 -1.46 l
+1.37 -1.41 l
+1.38 -1.35 l
+1.37 -1.31 l
+1.38 -1.27 l
+1.37 -1.22 l
+1.37 -1.18 l
+1.38 -1.14 l
+1.37 -1.11 l
+1.38 -1.07 l
+1.37 -1.05 l
+1.37 -1.03 l
+1.38 -1.02 l
+1.37 -0.99 l
+1.38 -0.99 l
+1.37 -0.97 l
+1.38 -0.97 l
+1.37 -0.96 l
+1.37 -0.96 l
+1.38 -0.95 l
+1.37 -0.95 l
+1.38 -0.93 l
+1.37 -0.94 l
+1.37 -0.92 l
+1.38 -0.91 l
+1.37 -0.90 l
+1.38 -0.89 l
+1.37 -0.87 l
+1.38 -0.85 l
+1.37 -0.84 l
+1.37 -0.82 l
+1.38 -0.80 l
+1.37 -0.77 l
+1.38 -0.76 l
+1.37 -0.74 l
+1.37 -0.72 l
+1.38 -0.70 l
+1.37 -0.69 l
+1.38 -0.68 l
+496.35 483.89 lineto
+1.38 -0.66 l
+1.37 -0.65 l
+1.37 -0.65 l
+1.38 -0.64 l
+1.37 -0.64 l
+1.38 -0.65 l
+1.37 -0.65 l
+1.37 -0.65 l
+1.38 -0.66 l
+1.37 -0.66 l
+1.38 -0.67 l
+1.37 -0.67 l
+1.37 -0.67 l
+1.38 -0.68 l
+1.37 -0.67 l
+1.38 -0.68 l
+1.37 -0.67 l
+1.38 -0.67 l
+1.37 -0.66 l
+1.37 -0.66 l
+1.38 -0.65 l
+1.37 -0.63 l
+1.38 -0.63 l
+1.37 -0.63 l
+1.37 -0.61 l
+1.38 -0.61 l
+1.37 -0.60 l
+1.38 -0.59 l
+1.37 -0.59 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.37 -0.59 l
+1.38 -0.58 l
+1.37 -0.59 l
+1.38 -0.59 l
+1.37 -0.59 l
+1.37 -0.59 l
+1.38 -0.60 l
+1.37 -0.60 l
+1.38 -0.60 l
+1.37 -0.60 l
+1.38 -0.60 l
+1.37 -0.60 l
+1.37 -0.59 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.38 -0.57 l
+1.37 -0.55 l
+1.37 -0.55 l
+1.38 -0.53 l
+1.37 -0.52 l
+1.38 -0.50 l
+1.37 -0.48 l
+1.38 -0.47 l
+1.37 -0.45 l
+1.37 -0.44 l
+1.38 -0.42 l
+1.37 -0.41 l
+1.38 -0.39 l
+1.37 -0.38 l
+1.37 -0.38 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.38 -0.35 l
+1.37 -0.34 l
+1.38 -0.34 l
+1.37 -0.34 l
+1.37 -0.33 l
+1.38 -0.33 l
+1.37 -0.33 l
+1.38 -0.33 l
+1.37 -0.33 l
+1.37 -0.33 l
+1.38 -0.34 l
+1.37 -0.33 l
+1.38 -0.33 l
+1.37 -0.33 l
+1.38 -0.32 l
+1.37 -0.33 l
+1.37 -0.32 l
+1.38 -0.32 l
+1.37 -0.31 l
+1.38 -0.31 l
+1.37 -0.30 l
+1.37 -0.29 l
+1.38 -0.29 l
+1.37 -0.27 l
+1.38 -0.26 l
+1.37 -0.26 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.22 l
+1.38 -0.21 l
+1.37 -0.19 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.37 -0.16 l
+1.38 -0.14 l
+1.37 -0.13 l
+633.77 437.08 lineto
+1.37 -0.10 l
+1.37 -0.10 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.07 l
+1.37 -0.05 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+771.18 433.71 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+134.59 428.87 m
+650.30 0 l
+o
+np
+134.59 428.87 m
+0 -2.38 l
+o
+np
+297.16 428.87 m
+0 -2.38 l
+o
+np
+459.74 428.87 m
+0 -2.38 l
+o
+np
+622.32 428.87 m
+0 -2.38 l
+o
+np
+784.89 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+134.59 415.56 (10) .5 0 0 t
+297.16 415.56 (15) .5 0 0 t
+459.74 415.56 (20) .5 0 0 t
+622.32 415.56 (25) .5 0 0 t
+784.89 415.56 (30) .5 0 0 t
+np
+56.02 433.65 m
+0 104.75 l
+o
+np
+56.02 433.65 m
+-2.38 0 l
+o
+np
+56.02 468.57 m
+-2.38 0 l
+o
+np
+56.02 503.48 m
+-2.38 0 l
+o
+np
+56.02 538.40 m
+-2.38 0 l
+o
+48.41 433.65 (0.00) .5 0 90 t
+48.41 468.57 (0.05) .5 0 90 t
+48.41 503.48 (0.10) .5 0 90 t
+48.41 538.40 (0.15) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 493.57 (Density) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 433.65 m
+758.37 0 l
+o
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 247.42 m
+1.38 0.83 l
+1.37 3.05 l
+1.38 8.33 l
+1.37 16.94 l
+1.37 25.75 l
+1.38 29.11 l
+1.37 23.72 l
+1.38 11.90 l
+1.37 -0.64 l
+1.38 -9.56 l
+1.37 -13.73 l
+1.37 -14.25 l
+1.38 -12.73 l
+1.37 -10.37 l
+1.38 -7.82 l
+1.37 -5.69 l
+1.37 -4.56 l
+1.38 -4.51 l
+1.37 -4.96 l
+1.38 -5.09 l
+1.37 -4.49 l
+1.38 -3.31 l
+1.37 -1.99 l
+1.37 -0.98 l
+1.38 -0.58 l
+1.37 -0.78 l
+1.38 -1.19 l
+1.37 -1.42 l
+1.37 -1.38 l
+1.38 -1.19 l
+1.37 -0.89 l
+1.38 -0.33 l
+1.37 0.35 l
+1.38 0.82 l
+1.37 0.70 l
+1.37 0.14 l
+1.38 -0.48 l
+1.37 -0.82 l
+1.38 -0.95 l
+1.37 -0.97 l
+1.37 -0.87 l
+1.38 -0.62 l
+1.37 -0.38 l
+1.38 -0.31 l
+1.37 -0.34 l
+1.37 -0.28 l
+1.38 -0.08 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 -0.09 l
+1.38 -0.24 l
+1.37 -0.32 l
+1.37 -0.31 l
+1.38 -0.21 l
+1.37 -0.05 l
+1.38 0.08 l
+1.37 0.13 l
+1.37 0.05 l
+1.38 -0.09 l
+1.37 -0.22 l
+1.38 -0.32 l
+1.37 -0.37 l
+1.38 -0.28 l
+1.37 -0.09 l
+1.37 0.11 l
+1.38 0.14 l
+1.37 0.04 l
+1.38 0 l
+1.37 0.13 l
+1.37 0.24 l
+1.38 0.10 l
+1.37 -0.21 l
+1.38 -0.30 l
+1.37 -0.15 l
+1.38 0.03 l
+1.37 0.08 l
+1.37 0.09 l
+1.38 0.06 l
+1.37 -0.03 l
+1.38 -0.18 l
+1.37 -0.26 l
+1.37 -0.23 l
+1.38 -0.14 l
+1.37 -0.07 l
+1.38 -0.01 l
+1.37 0.03 l
+1.38 0.07 l
+1.37 0.12 l
+1.37 0.14 l
+1.38 0.17 l
+1.37 0.17 l
+1.38 0.14 l
+1.37 0.08 l
+1.37 -0.02 l
+1.38 -0.12 l
+1.37 -0.21 l
+1.38 -0.26 l
+1.37 -0.26 l
+1.38 -0.22 l
+221.52 247.41 lineto
+1.37 -0.05 l
+1.38 0.05 l
+1.37 0.10 l
+1.38 0.05 l
+1.37 -0.03 l
+1.37 -0.09 l
+1.38 -0.11 l
+1.37 -0.06 l
+1.38 -0.03 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.03 l
+1.37 0.05 l
+1.38 0.10 l
+1.37 0.09 l
+1.38 0.05 l
+1.37 -0.04 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.05 l
+1.38 -0.03 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.02 l
+1.37 0.05 l
+1.38 0.08 l
+1.37 0.10 l
+1.38 0.06 l
+1.37 -0.02 l
+1.37 -0.08 l
+1.38 -0.10 l
+1.37 -0.07 l
+1.38 -0.03 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.02 l
+1.38 0.06 l
+1.37 0.09 l
+1.38 0.12 l
+1.37 0.04 l
+1.37 -0.05 l
+1.38 -0.11 l
+1.37 -0.09 l
+1.38 -0.06 l
+1.37 -0.02 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+358.94 247.23 lineto
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.04 l
+1.37 0.09 l
+1.38 0.11 l
+1.37 0.06 l
+1.37 -0.02 l
+1.38 -0.10 l
+1.37 -0.10 l
+1.38 -0.06 l
+1.37 -0.03 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+496.35 247.23 lineto
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.04 l
+1.37 0.07 l
+1.38 0.10 l
+1.37 0.08 l
+1.37 0.01 l
+1.38 -0.08 l
+1.37 -0.10 l
+633.77 247.29 lineto
+1.37 -0.04 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+771.18 247.24 lineto
+1.38 0.01 l
+1.37 0.03 l
+1.37 0.06 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.02 l
+1.37 -0.06 l
+1.38 -0.11 l
+1.37 -0.09 l
+1.37 -0.05 l
+1.38 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+91.20 242.44 m
+693.16 0 l
+o
+np
+91.20 242.44 m
+0 -2.37 l
+o
+np
+190.22 242.44 m
+0 -2.37 l
+o
+np
+289.25 242.44 m
+0 -2.37 l
+o
+np
+388.27 242.44 m
+0 -2.37 l
+o
+np
+487.29 242.44 m
+0 -2.37 l
+o
+np
+586.31 242.44 m
+0 -2.37 l
+o
+np
+685.33 242.44 m
+0 -2.37 l
+o
+np
+784.36 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+91.20 229.14 (0) .5 0 0 t
+190.22 229.14 (100) .5 0 0 t
+289.25 229.14 (200) .5 0 0 t
+388.27 229.14 (300) .5 0 0 t
+487.29 229.14 (400) .5 0 0 t
+586.31 229.14 (500) .5 0 0 t
+685.33 229.14 (600) .5 0 0 t
+784.36 229.14 (700) .5 0 0 t
+np
+56.02 247.23 m
+0 105.13 l
+o
+np
+56.02 247.23 m
+-2.38 0 l
+o
+np
+56.02 268.26 m
+-2.38 0 l
+o
+np
+56.02 289.28 m
+-2.38 0 l
+o
+np
+56.02 310.31 m
+-2.38 0 l
+o
+np
+56.02 331.34 m
+-2.38 0 l
+o
+np
+56.02 352.36 m
+-2.38 0 l
+o
+48.41 247.23 (0.00) .5 0 90 t
+48.41 289.28 (0.02) .5 0 90 t
+48.41 331.34 (0.04) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.23 m
+758.37 0 l
+o
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 60.81 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.05 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.37 0.07 l
+1.38 0.08 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.10 l
+1.37 0.11 l
+1.38 0.12 l
+1.37 0.13 l
+1.38 0.14 l
+1.37 0.14 l
+1.38 0.16 l
+1.37 0.18 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.23 l
+1.37 0.23 l
+1.38 0.25 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.27 l
+1.38 0.28 l
+1.37 0.28 l
+1.37 0.29 l
+1.38 0.29 l
+1.37 0.30 l
+1.38 0.30 l
+1.37 0.31 l
+1.37 0.30 l
+1.38 0.31 l
+1.37 0.30 l
+1.38 0.31 l
+1.37 0.31 l
+1.38 0.31 l
+221.52 70.96 lineto
+1.37 0.31 l
+1.38 0.31 l
+1.37 0.31 l
+1.38 0.32 l
+1.37 0.31 l
+1.37 0.32 l
+1.38 0.32 l
+1.37 0.32 l
+1.38 0.33 l
+1.37 0.33 l
+1.38 0.34 l
+1.37 0.35 l
+1.37 0.35 l
+1.38 0.36 l
+1.37 0.37 l
+1.38 0.38 l
+1.37 0.40 l
+1.37 0.40 l
+1.38 0.42 l
+1.37 0.43 l
+1.38 0.45 l
+1.37 0.45 l
+1.38 0.48 l
+1.37 0.49 l
+1.37 0.51 l
+1.38 0.53 l
+1.37 0.55 l
+1.38 0.56 l
+1.37 0.59 l
+1.37 0.60 l
+1.38 0.63 l
+1.37 0.64 l
+1.38 0.66 l
+1.37 0.69 l
+1.37 0.71 l
+1.38 0.73 l
+1.37 0.75 l
+1.38 0.76 l
+1.37 0.80 l
+1.38 0.81 l
+1.37 0.82 l
+1.37 0.85 l
+1.38 0.86 l
+1.37 0.88 l
+1.38 0.89 l
+1.37 0.91 l
+1.37 0.92 l
+1.38 0.93 l
+1.37 0.94 l
+1.38 0.95 l
+1.37 0.95 l
+1.38 0.97 l
+1.37 0.96 l
+1.37 0.97 l
+1.38 0.97 l
+1.37 0.97 l
+1.38 0.97 l
+1.37 0.97 l
+1.37 0.97 l
+1.38 0.96 l
+1.37 0.96 l
+1.38 0.96 l
+1.37 0.95 l
+1.38 0.94 l
+1.37 0.94 l
+1.37 0.93 l
+1.38 0.93 l
+1.37 0.92 l
+1.38 0.92 l
+1.37 0.92 l
+1.37 0.91 l
+1.38 0.91 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.92 l
+1.37 0.92 l
+1.38 0.93 l
+1.37 0.94 l
+1.38 0.95 l
+1.37 0.96 l
+1.37 0.97 l
+1.38 0.98 l
+1.37 0.99 l
+1.38 1.00 l
+1.37 1.02 l
+1.38 1.02 l
+1.37 1.03 l
+1.37 1.04 l
+1.38 1.05 l
+1.37 1.05 l
+1.38 1.05 l
+1.37 1.06 l
+1.37 1.06 l
+1.38 1.06 l
+1.37 1.05 l
+1.38 1.04 l
+1.37 1.03 l
+358.94 147.94 lineto
+1.37 1.00 l
+1.37 0.99 l
+1.38 0.98 l
+1.37 0.95 l
+1.38 0.93 l
+1.37 0.91 l
+1.37 0.89 l
+1.38 0.86 l
+1.37 0.85 l
+1.38 0.81 l
+1.37 0.79 l
+1.38 0.77 l
+1.37 0.75 l
+1.37 0.73 l
+1.38 0.71 l
+1.37 0.69 l
+1.38 0.68 l
+1.37 0.66 l
+1.37 0.65 l
+1.38 0.64 l
+1.37 0.64 l
+1.38 0.62 l
+1.37 0.62 l
+1.37 0.62 l
+1.38 0.61 l
+1.37 0.61 l
+1.38 0.61 l
+1.37 0.61 l
+1.38 0.61 l
+1.37 0.61 l
+1.37 0.61 l
+1.38 0.61 l
+1.37 0.61 l
+1.38 0.60 l
+1.37 0.60 l
+1.37 0.59 l
+1.38 0.58 l
+1.37 0.58 l
+1.38 0.56 l
+1.37 0.55 l
+1.38 0.53 l
+1.37 0.50 l
+1.37 0.48 l
+1.38 0.46 l
+1.37 0.43 l
+1.38 0.39 l
+1.37 0.35 l
+1.37 0.32 l
+1.38 0.28 l
+1.37 0.23 l
+1.38 0.18 l
+1.37 0.13 l
+1.38 0.08 l
+1.37 0.03 l
+1.37 -0.02 l
+1.38 -0.08 l
+1.37 -0.14 l
+1.38 -0.19 l
+1.37 -0.24 l
+1.37 -0.30 l
+1.38 -0.35 l
+1.37 -0.41 l
+1.38 -0.46 l
+1.37 -0.50 l
+1.38 -0.55 l
+1.37 -0.59 l
+1.37 -0.63 l
+1.38 -0.66 l
+1.37 -0.70 l
+1.38 -0.72 l
+1.37 -0.74 l
+1.37 -0.78 l
+1.38 -0.78 l
+1.37 -0.80 l
+1.38 -0.81 l
+1.37 -0.81 l
+1.38 -0.82 l
+1.37 -0.82 l
+1.37 -0.82 l
+1.38 -0.82 l
+1.37 -0.81 l
+1.38 -0.80 l
+1.37 -0.79 l
+1.37 -0.79 l
+1.38 -0.77 l
+1.37 -0.77 l
+1.38 -0.75 l
+1.37 -0.75 l
+1.38 -0.74 l
+1.37 -0.73 l
+1.37 -0.72 l
+1.38 -0.72 l
+1.37 -0.71 l
+1.38 -0.72 l
+1.37 -0.71 l
+1.37 -0.71 l
+1.38 -0.71 l
+1.37 -0.72 l
+1.38 -0.73 l
+496.35 151.20 lineto
+1.38 -0.74 l
+1.37 -0.75 l
+1.37 -0.76 l
+1.38 -0.78 l
+1.37 -0.79 l
+1.38 -0.80 l
+1.37 -0.82 l
+1.37 -0.84 l
+1.38 -0.85 l
+1.37 -0.87 l
+1.38 -0.88 l
+1.37 -0.90 l
+1.37 -0.92 l
+1.38 -0.93 l
+1.37 -0.94 l
+1.38 -0.95 l
+1.37 -0.97 l
+1.38 -0.97 l
+1.37 -0.97 l
+1.37 -0.98 l
+1.38 -0.98 l
+1.37 -0.98 l
+1.38 -0.98 l
+1.37 -0.97 l
+1.37 -0.96 l
+1.38 -0.95 l
+1.37 -0.94 l
+1.38 -0.91 l
+1.37 -0.90 l
+1.38 -0.89 l
+1.37 -0.86 l
+1.37 -0.85 l
+1.38 -0.82 l
+1.37 -0.79 l
+1.38 -0.78 l
+1.37 -0.76 l
+1.37 -0.75 l
+1.38 -0.72 l
+1.37 -0.70 l
+1.38 -0.70 l
+1.37 -0.68 l
+1.38 -0.68 l
+1.37 -0.67 l
+1.37 -0.67 l
+1.38 -0.67 l
+1.37 -0.67 l
+1.38 -0.68 l
+1.37 -0.69 l
+1.37 -0.71 l
+1.38 -0.71 l
+1.37 -0.74 l
+1.38 -0.74 l
+1.37 -0.77 l
+1.38 -0.79 l
+1.37 -0.80 l
+1.37 -0.83 l
+1.38 -0.84 l
+1.37 -0.85 l
+1.38 -0.88 l
+1.37 -0.89 l
+1.37 -0.89 l
+1.38 -0.91 l
+1.37 -0.92 l
+1.38 -0.92 l
+1.37 -0.92 l
+1.38 -0.92 l
+1.37 -0.92 l
+1.37 -0.91 l
+1.38 -0.91 l
+1.37 -0.89 l
+1.38 -0.88 l
+1.37 -0.87 l
+1.37 -0.85 l
+1.38 -0.83 l
+1.37 -0.81 l
+1.38 -0.80 l
+1.37 -0.77 l
+1.38 -0.75 l
+1.37 -0.72 l
+1.37 -0.70 l
+1.38 -0.68 l
+1.37 -0.66 l
+1.38 -0.63 l
+1.37 -0.61 l
+1.37 -0.58 l
+1.38 -0.57 l
+1.37 -0.54 l
+1.38 -0.52 l
+1.37 -0.50 l
+1.37 -0.48 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.38 -0.43 l
+1.37 -0.41 l
+1.38 -0.39 l
+1.37 -0.38 l
+1.37 -0.37 l
+1.38 -0.35 l
+1.37 -0.34 l
+633.77 74.87 lineto
+1.37 -0.32 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.29 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.38 -0.26 l
+1.37 -0.26 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.21 l
+1.37 -0.20 l
+1.38 -0.19 l
+1.37 -0.20 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.37 -0.13 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.37 -0.15 l
+1.38 -0.14 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.37 -0.16 l
+1.38 -0.15 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.37 -0.15 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.14 l
+1.37 -0.14 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+771.18 60.86 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+82.13 56.02 m
+648.05 0 l
+o
+np
+82.13 56.02 m
+0 -2.38 l
+o
+np
+211.74 56.02 m
+0 -2.38 l
+o
+np
+341.35 56.02 m
+0 -2.38 l
+o
+np
+470.96 56.02 m
+0 -2.38 l
+o
+np
+600.57 56.02 m
+0 -2.38 l
+o
+np
+730.18 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+82.13 42.71 (0) .5 0 0 t
+211.74 42.71 (5) .5 0 0 t
+341.35 42.71 (10) .5 0 0 t
+470.96 42.71 (15) .5 0 0 t
+600.57 42.71 (20) .5 0 0 t
+730.18 42.71 (25) .5 0 0 t
+np
+56.02 60.80 m
+0 108.76 l
+o
+np
+56.02 60.80 m
+-2.38 0 l
+o
+np
+56.02 82.55 m
+-2.38 0 l
+o
+np
+56.02 104.30 m
+-2.38 0 l
+o
+np
+56.02 126.06 m
+-2.38 0 l
+o
+np
+56.02 147.81 m
+-2.38 0 l
+o
+np
+56.02 169.56 m
+-2.38 0 l
+o
+48.41 60.80 (0.00) .5 0 90 t
+48.41 104.30 (0.04) .5 0 90 t
+48.41 147.81 (0.08) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.80 m
+758.37 0 l
+o
+77.04 371.08 793.65 518.24 cl
+ep
+%%Page: 14 14
+bp
+75.60 355.24 809.49 548.48 cl
+75.60 355.24 809.49 548.48 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 362.40 m
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.32 0.09 l
+1.33 0.09 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.12 l
+1.33 0.13 l
+1.33 0.15 l
+1.33 0.17 l
+1.33 0.19 l
+1.33 0.20 l
+1.33 0.22 l
+1.33 0.24 l
+1.33 0.26 l
+1.33 0.28 l
+1.33 0.30 l
+1.33 0.33 l
+1.33 0.34 l
+1.33 0.36 l
+1.32 0.38 l
+1.33 0.40 l
+1.33 0.43 l
+1.33 0.44 l
+1.33 0.46 l
+1.33 0.48 l
+1.33 0.49 l
+1.33 0.51 l
+1.33 0.52 l
+1.33 0.53 l
+1.33 0.55 l
+1.33 0.55 l
+1.33 0.56 l
+1.33 0.56 l
+1.33 0.57 l
+1.33 0.56 l
+1.33 0.57 l
+1.33 0.57 l
+1.33 0.57 l
+235.76 378.47 lineto
+1.33 0.57 l
+1.33 0.56 l
+1.33 0.56 l
+1.33 0.56 l
+1.33 0.57 l
+1.33 0.56 l
+1.33 0.57 l
+1.33 0.57 l
+1.33 0.58 l
+1.33 0.59 l
+1.33 0.61 l
+1.33 0.61 l
+1.33 0.63 l
+1.33 0.65 l
+1.33 0.67 l
+1.33 0.69 l
+1.33 0.71 l
+1.33 0.73 l
+1.33 0.76 l
+1.33 0.79 l
+1.33 0.80 l
+1.33 0.84 l
+1.33 0.86 l
+1.33 0.88 l
+1.33 0.91 l
+1.33 0.94 l
+1.33 0.96 l
+1.33 0.98 l
+1.33 1.00 l
+1.33 1.02 l
+1.32 1.05 l
+1.33 1.06 l
+1.33 1.08 l
+1.33 1.09 l
+1.33 1.10 l
+1.33 1.12 l
+1.33 1.12 l
+1.33 1.13 l
+1.33 1.13 l
+1.33 1.14 l
+1.33 1.14 l
+1.33 1.14 l
+1.33 1.14 l
+1.33 1.15 l
+1.33 1.15 l
+1.33 1.15 l
+1.33 1.16 l
+1.33 1.16 l
+1.33 1.18 l
+1.33 1.20 l
+1.33 1.23 l
+1.33 1.25 l
+1.33 1.28 l
+1.33 1.33 l
+1.33 1.37 l
+1.33 1.44 l
+1.33 1.49 l
+1.33 1.55 l
+1.33 1.62 l
+1.33 1.69 l
+1.33 1.78 l
+1.33 1.86 l
+1.33 1.93 l
+1.33 2.01 l
+1.33 2.09 l
+1.33 2.15 l
+1.33 2.23 l
+1.33 2.29 l
+1.33 2.33 l
+1.33 2.37 l
+1.33 2.41 l
+1.33 2.43 l
+1.33 2.43 l
+1.33 2.44 l
+1.33 2.42 l
+1.33 2.39 l
+1.33 2.36 l
+1.33 2.32 l
+1.33 2.26 l
+1.33 2.20 l
+1.32 2.14 l
+1.33 2.07 l
+1.33 1.99 l
+1.33 1.93 l
+1.33 1.84 l
+1.33 1.77 l
+1.33 1.70 l
+1.33 1.64 l
+1.33 1.58 l
+1.33 1.53 l
+1.33 1.46 l
+1.33 1.43 l
+1.33 1.38 l
+1.33 1.36 l
+1.33 1.33 l
+1.33 1.30 l
+1.33 1.29 l
+1.33 1.26 l
+1.33 1.26 l
+368.74 513.24 lineto
+1.33 1.24 l
+1.33 1.22 l
+1.33 1.20 l
+1.33 1.20 l
+1.33 1.18 l
+1.33 1.16 l
+1.33 1.14 l
+1.33 1.12 l
+1.33 1.09 l
+1.33 1.06 l
+1.33 1.03 l
+1.33 1.00 l
+1.33 0.97 l
+1.33 0.93 l
+1.33 0.89 l
+1.33 0.85 l
+1.33 0.82 l
+1.33 0.79 l
+1.33 0.75 l
+1.33 0.72 l
+1.33 0.68 l
+1.33 0.66 l
+1.33 0.62 l
+1.33 0.60 l
+1.33 0.57 l
+1.33 0.54 l
+1.33 0.52 l
+1.33 0.48 l
+1.33 0.46 l
+1.32 0.44 l
+1.33 0.40 l
+1.33 0.37 l
+1.33 0.33 l
+1.33 0.29 l
+1.33 0.25 l
+1.33 0.21 l
+1.33 0.16 l
+1.33 0.10 l
+1.33 0.04 l
+1.33 -0.02 l
+1.33 -0.08 l
+1.33 -0.14 l
+1.33 -0.22 l
+1.33 -0.28 l
+1.33 -0.37 l
+1.33 -0.43 l
+1.33 -0.51 l
+1.33 -0.58 l
+1.33 -0.65 l
+1.33 -0.73 l
+1.33 -0.80 l
+1.33 -0.86 l
+1.33 -0.93 l
+1.33 -1.00 l
+1.33 -1.04 l
+1.33 -1.11 l
+1.33 -1.17 l
+1.33 -1.21 l
+1.33 -1.26 l
+1.33 -1.30 l
+1.33 -1.34 l
+1.33 -1.38 l
+1.33 -1.41 l
+1.33 -1.45 l
+1.33 -1.48 l
+1.33 -1.50 l
+1.33 -1.53 l
+1.33 -1.55 l
+1.33 -1.59 l
+1.33 -1.60 l
+1.33 -1.63 l
+1.33 -1.66 l
+1.33 -1.68 l
+1.33 -1.70 l
+1.33 -1.74 l
+1.33 -1.75 l
+1.33 -1.79 l
+1.33 -1.81 l
+1.33 -1.84 l
+1.32 -1.87 l
+1.33 -1.90 l
+1.33 -1.92 l
+1.33 -1.94 l
+1.33 -1.97 l
+1.33 -1.98 l
+1.33 -2.01 l
+1.33 -2.02 l
+1.33 -2.03 l
+1.33 -2.04 l
+1.33 -2.04 l
+1.33 -2.04 l
+1.33 -2.04 l
+1.33 -2.03 l
+1.33 -2.02 l
+1.33 -2.01 l
+1.33 -2.00 l
+1.33 -1.99 l
+1.33 -1.97 l
+1.33 -1.96 l
+501.72 454.47 lineto
+1.33 -1.94 l
+1.33 -1.94 l
+1.33 -1.93 l
+1.33 -1.92 l
+1.33 -1.93 l
+1.33 -1.94 l
+1.33 -1.94 l
+1.33 -1.94 l
+1.33 -1.96 l
+1.33 -1.96 l
+1.33 -1.97 l
+1.33 -1.98 l
+1.33 -1.99 l
+1.33 -1.98 l
+1.33 -1.98 l
+1.33 -1.98 l
+1.33 -1.95 l
+1.33 -1.94 l
+1.33 -1.91 l
+1.33 -1.87 l
+1.33 -1.83 l
+1.33 -1.78 l
+1.33 -1.72 l
+1.33 -1.66 l
+1.33 -1.59 l
+1.33 -1.52 l
+1.33 -1.45 l
+1.33 -1.36 l
+1.33 -1.27 l
+1.32 -1.19 l
+1.33 -1.11 l
+1.33 -1.04 l
+1.33 -0.95 l
+1.33 -0.87 l
+1.33 -0.80 l
+1.33 -0.74 l
+1.33 -0.69 l
+1.33 -0.63 l
+1.33 -0.59 l
+1.33 -0.54 l
+1.33 -0.51 l
+1.33 -0.49 l
+1.33 -0.47 l
+1.33 -0.46 l
+1.33 -0.46 l
+1.33 -0.45 l
+1.33 -0.46 l
+1.33 -0.48 l
+1.33 -0.48 l
+1.33 -0.50 l
+1.33 -0.52 l
+1.33 -0.54 l
+1.33 -0.57 l
+1.33 -0.58 l
+1.33 -0.60 l
+1.33 -0.62 l
+1.33 -0.65 l
+1.33 -0.66 l
+1.33 -0.67 l
+1.33 -0.68 l
+1.33 -0.70 l
+1.33 -0.70 l
+1.33 -0.70 l
+1.33 -0.70 l
+1.33 -0.70 l
+1.33 -0.69 l
+1.33 -0.68 l
+1.33 -0.66 l
+1.33 -0.65 l
+1.33 -0.63 l
+1.33 -0.61 l
+1.33 -0.58 l
+1.33 -0.56 l
+1.33 -0.54 l
+1.33 -0.50 l
+1.33 -0.48 l
+1.33 -0.45 l
+1.33 -0.41 l
+1.33 -0.40 l
+1.32 -0.36 l
+1.33 -0.34 l
+1.33 -0.31 l
+1.33 -0.28 l
+1.33 -0.27 l
+1.33 -0.24 l
+1.33 -0.22 l
+1.33 -0.21 l
+1.33 -0.18 l
+1.33 -0.18 l
+1.33 -0.16 l
+1.33 -0.15 l
+1.33 -0.14 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.11 l
+634.70 366.04 lineto
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.06 l
+1.32 -0.06 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.32 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+767.68 362.47 lineto
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+244.66 355.24 m
+401.21 0 l
+o
+np
+244.66 355.24 m
+0 -3.60 l
+o
+np
+445.26 355.24 m
+0 -3.60 l
+o
+np
+645.87 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+244.66 335.08 (5.0) .5 0 0 t
+445.26 335.08 (5.5) .5 0 0 t
+645.87 335.08 (6.0) .5 0 0 t
+np
+75.60 362.39 m
+0 172.55 l
+o
+np
+75.60 362.39 m
+-3.60 0 l
+o
+np
+75.60 405.52 m
+-3.60 0 l
+o
+np
+75.60 448.66 m
+-3.60 0 l
+o
+np
+75.60 491.80 m
+-3.60 0 l
+o
+np
+75.60 534.94 m
+-3.60 0 l
+o
+64.08 362.39 (0.0) .5 0 90 t
+64.08 405.52 (0.5) .5 0 90 t
+64.08 448.66 (1.0) .5 0 90 t
+64.08 491.80 (1.5) .5 0 90 t
+64.08 534.94 (2.0) .5 0 90 t
+np
+75.60 355.24 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 451.86 (Density) .5 0 90 t
+75.60 355.24 809.49 548.48 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 362.39 m
+733.89 0 l
+o
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.32 0.04 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.11 l
+1.32 0.12 l
+1.33 0.13 l
+1.33 0.15 l
+1.33 0.15 l
+1.33 0.17 l
+1.33 0.19 l
+1.33 0.21 l
+1.33 0.22 l
+1.33 0.24 l
+1.33 0.26 l
+1.33 0.28 l
+1.33 0.30 l
+1.33 0.31 l
+1.33 0.34 l
+1.33 0.35 l
+1.33 0.38 l
+1.33 0.39 l
+1.33 0.41 l
+1.33 0.42 l
+235.76 91.19 lineto
+1.33 0.45 l
+1.33 0.47 l
+1.33 0.47 l
+1.33 0.48 l
+1.33 0.48 l
+1.33 0.49 l
+1.33 0.49 l
+1.33 0.50 l
+1.33 0.49 l
+1.33 0.49 l
+1.33 0.49 l
+1.33 0.48 l
+1.33 0.48 l
+1.33 0.48 l
+1.33 0.47 l
+1.33 0.47 l
+1.33 0.46 l
+1.33 0.45 l
+1.33 0.46 l
+1.33 0.45 l
+1.33 0.46 l
+1.33 0.45 l
+1.33 0.46 l
+1.33 0.47 l
+1.33 0.48 l
+1.33 0.48 l
+1.33 0.50 l
+1.33 0.52 l
+1.33 0.54 l
+1.33 0.56 l
+1.32 0.58 l
+1.33 0.60 l
+1.33 0.64 l
+1.33 0.66 l
+1.33 0.70 l
+1.33 0.72 l
+1.33 0.75 l
+1.33 0.80 l
+1.33 0.82 l
+1.33 0.86 l
+1.33 0.89 l
+1.33 0.92 l
+1.33 0.96 l
+1.33 0.99 l
+1.33 1.01 l
+1.33 1.05 l
+1.33 1.07 l
+1.33 1.11 l
+1.33 1.13 l
+1.33 1.15 l
+1.33 1.17 l
+1.33 1.19 l
+1.33 1.22 l
+1.33 1.23 l
+1.33 1.25 l
+1.33 1.27 l
+1.33 1.28 l
+1.33 1.29 l
+1.33 1.31 l
+1.33 1.32 l
+1.33 1.33 l
+1.33 1.34 l
+1.33 1.35 l
+1.33 1.37 l
+1.33 1.37 l
+1.33 1.38 l
+1.33 1.40 l
+1.33 1.40 l
+1.33 1.42 l
+1.33 1.42 l
+1.33 1.44 l
+1.33 1.44 l
+1.33 1.45 l
+1.33 1.47 l
+1.33 1.48 l
+1.33 1.48 l
+1.33 1.49 l
+1.33 1.50 l
+1.33 1.50 l
+1.33 1.51 l
+1.32 1.52 l
+1.33 1.51 l
+1.33 1.51 l
+1.33 1.51 l
+1.33 1.51 l
+1.33 1.50 l
+1.33 1.48 l
+1.33 1.48 l
+1.33 1.46 l
+1.33 1.44 l
+1.33 1.41 l
+1.33 1.40 l
+1.33 1.37 l
+1.33 1.34 l
+1.33 1.31 l
+1.33 1.27 l
+1.33 1.25 l
+1.33 1.21 l
+1.33 1.18 l
+368.74 191.89 lineto
+1.33 1.10 l
+1.33 1.08 l
+1.33 1.04 l
+1.33 1.02 l
+1.33 0.99 l
+1.33 0.96 l
+1.33 0.95 l
+1.33 0.93 l
+1.33 0.93 l
+1.33 0.91 l
+1.33 0.91 l
+1.33 0.92 l
+1.33 0.92 l
+1.33 0.94 l
+1.33 0.96 l
+1.33 0.98 l
+1.33 1.01 l
+1.33 1.04 l
+1.33 1.08 l
+1.33 1.12 l
+1.33 1.16 l
+1.33 1.20 l
+1.33 1.25 l
+1.33 1.30 l
+1.33 1.34 l
+1.33 1.40 l
+1.33 1.44 l
+1.33 1.48 l
+1.33 1.52 l
+1.32 1.56 l
+1.33 1.60 l
+1.33 1.63 l
+1.33 1.64 l
+1.33 1.67 l
+1.33 1.68 l
+1.33 1.69 l
+1.33 1.68 l
+1.33 1.67 l
+1.33 1.67 l
+1.33 1.64 l
+1.33 1.60 l
+1.33 1.56 l
+1.33 1.53 l
+1.33 1.47 l
+1.33 1.42 l
+1.33 1.35 l
+1.33 1.27 l
+1.33 1.21 l
+1.33 1.14 l
+1.33 1.06 l
+1.33 0.96 l
+1.33 0.88 l
+1.33 0.79 l
+1.33 0.72 l
+1.33 0.63 l
+1.33 0.54 l
+1.33 0.46 l
+1.33 0.37 l
+1.33 0.31 l
+1.33 0.23 l
+1.33 0.17 l
+1.33 0.08 l
+1.33 0.03 l
+1.33 -0.03 l
+1.33 -0.07 l
+1.33 -0.13 l
+1.33 -0.19 l
+1.33 -0.22 l
+1.33 -0.27 l
+1.33 -0.30 l
+1.33 -0.34 l
+1.33 -0.38 l
+1.33 -0.42 l
+1.33 -0.45 l
+1.33 -0.49 l
+1.33 -0.52 l
+1.33 -0.57 l
+1.33 -0.61 l
+1.33 -0.65 l
+1.32 -0.70 l
+1.33 -0.74 l
+1.33 -0.79 l
+1.33 -0.85 l
+1.33 -0.90 l
+1.33 -0.94 l
+1.33 -1.00 l
+1.33 -1.05 l
+1.33 -1.11 l
+1.33 -1.16 l
+1.33 -1.21 l
+1.33 -1.25 l
+1.33 -1.30 l
+1.33 -1.34 l
+1.33 -1.38 l
+1.33 -1.41 l
+1.33 -1.43 l
+1.33 -1.46 l
+1.33 -1.49 l
+1.33 -1.49 l
+501.72 231.54 lineto
+1.33 -1.51 l
+1.33 -1.51 l
+1.33 -1.51 l
+1.33 -1.50 l
+1.33 -1.50 l
+1.33 -1.48 l
+1.33 -1.47 l
+1.33 -1.46 l
+1.33 -1.44 l
+1.33 -1.42 l
+1.33 -1.42 l
+1.33 -1.40 l
+1.33 -1.39 l
+1.33 -1.37 l
+1.33 -1.37 l
+1.33 -1.36 l
+1.33 -1.36 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.36 l
+1.33 -1.37 l
+1.33 -1.36 l
+1.33 -1.38 l
+1.33 -1.37 l
+1.33 -1.38 l
+1.32 -1.38 l
+1.33 -1.38 l
+1.33 -1.39 l
+1.33 -1.38 l
+1.33 -1.37 l
+1.33 -1.37 l
+1.33 -1.37 l
+1.33 -1.36 l
+1.33 -1.35 l
+1.33 -1.34 l
+1.33 -1.32 l
+1.33 -1.31 l
+1.33 -1.31 l
+1.33 -1.28 l
+1.33 -1.27 l
+1.33 -1.25 l
+1.33 -1.24 l
+1.33 -1.23 l
+1.33 -1.20 l
+1.33 -1.20 l
+1.33 -1.17 l
+1.33 -1.16 l
+1.33 -1.15 l
+1.33 -1.13 l
+1.33 -1.12 l
+1.33 -1.11 l
+1.33 -1.09 l
+1.33 -1.08 l
+1.33 -1.08 l
+1.33 -1.06 l
+1.33 -1.05 l
+1.33 -1.04 l
+1.33 -1.04 l
+1.33 -1.03 l
+1.33 -1.02 l
+1.33 -1.01 l
+1.33 -1.01 l
+1.33 -1.00 l
+1.33 -1.00 l
+1.33 -0.99 l
+1.33 -0.99 l
+1.33 -0.99 l
+1.33 -0.98 l
+1.33 -0.98 l
+1.33 -0.98 l
+1.33 -0.98 l
+1.33 -0.97 l
+1.33 -0.98 l
+1.33 -0.98 l
+1.33 -0.98 l
+1.32 -0.98 l
+1.33 -0.98 l
+1.33 -0.99 l
+1.33 -0.98 l
+1.33 -0.99 l
+1.33 -1.00 l
+1.33 -0.99 l
+1.33 -1.00 l
+1.33 -1.01 l
+1.33 -1.00 l
+1.33 -1.01 l
+1.33 -1.00 l
+1.33 -1.01 l
+1.33 -1.00 l
+1.33 -1.01 l
+1.33 -1.00 l
+1.33 -0.99 l
+1.33 -0.99 l
+1.33 -0.98 l
+1.33 -0.98 l
+634.70 112.45 lineto
+1.33 -0.95 l
+1.33 -0.93 l
+1.33 -0.92 l
+1.33 -0.90 l
+1.33 -0.88 l
+1.33 -0.85 l
+1.33 -0.84 l
+1.33 -0.80 l
+1.33 -0.79 l
+1.33 -0.76 l
+1.33 -0.72 l
+1.33 -0.70 l
+1.33 -0.67 l
+1.33 -0.63 l
+1.33 -0.61 l
+1.33 -0.58 l
+1.33 -0.54 l
+1.33 -0.51 l
+1.33 -0.49 l
+1.33 -0.46 l
+1.33 -0.42 l
+1.33 -0.40 l
+1.33 -0.37 l
+1.33 -0.34 l
+1.33 -0.32 l
+1.33 -0.31 l
+1.33 -0.27 l
+1.33 -0.26 l
+1.33 -0.24 l
+1.32 -0.23 l
+1.33 -0.22 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.19 l
+1.33 -0.18 l
+1.33 -0.18 l
+1.33 -0.17 l
+1.33 -0.17 l
+1.33 -0.17 l
+1.33 -0.18 l
+1.33 -0.18 l
+1.33 -0.18 l
+1.33 -0.19 l
+1.33 -0.19 l
+1.33 -0.20 l
+1.33 -0.20 l
+1.33 -0.21 l
+1.33 -0.22 l
+1.33 -0.22 l
+1.33 -0.23 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.26 l
+1.33 -0.25 l
+1.33 -0.27 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.22 l
+1.33 -0.21 l
+1.33 -0.20 l
+1.33 -0.20 l
+1.33 -0.18 l
+1.33 -0.18 l
+1.33 -0.17 l
+1.33 -0.17 l
+1.33 -0.15 l
+1.33 -0.15 l
+1.32 -0.13 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+767.68 82.87 lineto
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+189.15 75.60 m
+593.91 0 l
+o
+np
+189.15 75.60 m
+0 -3.60 l
+o
+np
+387.12 75.60 m
+0 -3.60 l
+o
+np
+585.09 75.60 m
+0 -3.60 l
+o
+np
+783.06 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+189.15 55.44 (-1.5) .5 0 0 t
+387.12 55.44 (-1.0) .5 0 0 t
+585.09 55.44 (-0.5) .5 0 0 t
+783.06 55.44 (0.0) .5 0 0 t
+np
+75.60 82.75 m
+0 149.78 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 132.68 m
+-3.60 0 l
+o
+np
+75.60 182.61 m
+-3.60 0 l
+o
+np
+75.60 232.53 m
+-3.60 0 l
+o
+64.08 82.75 (0.0) .5 0 90 t
+64.08 132.68 (0.5) .5 0 90 t
+64.08 182.61 (1.0) .5 0 90 t
+64.08 232.53 (1.5) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 15 15
+bp
+75.60 355.24 809.49 548.48 cl
+75.60 355.24 809.49 548.48 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 362.39 m
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.32 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.12 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.12 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.18 l
+1.32 0.20 l
+1.33 0.22 l
+1.33 0.23 l
+1.33 0.25 l
+1.33 0.26 l
+1.33 0.29 l
+1.33 0.31 l
+1.33 0.33 l
+1.33 0.35 l
+1.33 0.36 l
+1.33 0.40 l
+1.33 0.41 l
+1.33 0.43 l
+1.33 0.45 l
+1.33 0.48 l
+1.33 0.50 l
+1.33 0.52 l
+1.33 0.54 l
+1.33 0.55 l
+235.76 376.61 lineto
+1.33 0.61 l
+1.33 0.62 l
+1.33 0.64 l
+1.33 0.66 l
+1.33 0.67 l
+1.33 0.70 l
+1.33 0.72 l
+1.33 0.72 l
+1.33 0.75 l
+1.33 0.76 l
+1.33 0.77 l
+1.33 0.79 l
+1.33 0.80 l
+1.33 0.81 l
+1.33 0.82 l
+1.33 0.83 l
+1.33 0.84 l
+1.33 0.85 l
+1.33 0.85 l
+1.33 0.86 l
+1.33 0.87 l
+1.33 0.88 l
+1.33 0.87 l
+1.33 0.89 l
+1.33 0.88 l
+1.33 0.90 l
+1.33 0.90 l
+1.33 0.90 l
+1.33 0.91 l
+1.33 0.91 l
+1.32 0.92 l
+1.33 0.93 l
+1.33 0.93 l
+1.33 0.94 l
+1.33 0.95 l
+1.33 0.97 l
+1.33 0.97 l
+1.33 0.98 l
+1.33 1.00 l
+1.33 1.00 l
+1.33 1.03 l
+1.33 1.03 l
+1.33 1.05 l
+1.33 1.06 l
+1.33 1.08 l
+1.33 1.10 l
+1.33 1.11 l
+1.33 1.12 l
+1.33 1.14 l
+1.33 1.15 l
+1.33 1.16 l
+1.33 1.18 l
+1.33 1.20 l
+1.33 1.20 l
+1.33 1.22 l
+1.33 1.23 l
+1.33 1.24 l
+1.33 1.25 l
+1.33 1.26 l
+1.33 1.27 l
+1.33 1.28 l
+1.33 1.28 l
+1.33 1.30 l
+1.33 1.30 l
+1.33 1.31 l
+1.33 1.32 l
+1.33 1.33 l
+1.33 1.33 l
+1.33 1.34 l
+1.33 1.34 l
+1.33 1.36 l
+1.33 1.36 l
+1.33 1.36 l
+1.33 1.38 l
+1.33 1.38 l
+1.33 1.38 l
+1.33 1.39 l
+1.33 1.40 l
+1.33 1.40 l
+1.33 1.40 l
+1.32 1.40 l
+1.33 1.41 l
+1.33 1.41 l
+1.33 1.40 l
+1.33 1.41 l
+1.33 1.40 l
+1.33 1.39 l
+1.33 1.39 l
+1.33 1.38 l
+1.33 1.38 l
+1.33 1.36 l
+1.33 1.34 l
+1.33 1.34 l
+1.33 1.32 l
+1.33 1.30 l
+1.33 1.29 l
+1.33 1.27 l
+1.33 1.26 l
+1.33 1.23 l
+368.74 487.11 lineto
+1.33 1.20 l
+1.33 1.19 l
+1.33 1.17 l
+1.33 1.16 l
+1.33 1.15 l
+1.33 1.13 l
+1.33 1.13 l
+1.33 1.12 l
+1.33 1.11 l
+1.33 1.11 l
+1.33 1.11 l
+1.33 1.10 l
+1.33 1.11 l
+1.33 1.11 l
+1.33 1.11 l
+1.33 1.12 l
+1.33 1.12 l
+1.33 1.12 l
+1.33 1.13 l
+1.33 1.14 l
+1.33 1.14 l
+1.33 1.15 l
+1.33 1.15 l
+1.33 1.16 l
+1.33 1.15 l
+1.33 1.16 l
+1.33 1.15 l
+1.33 1.15 l
+1.33 1.14 l
+1.32 1.14 l
+1.33 1.13 l
+1.33 1.11 l
+1.33 1.09 l
+1.33 1.08 l
+1.33 1.06 l
+1.33 1.04 l
+1.33 1.01 l
+1.33 0.99 l
+1.33 0.95 l
+1.33 0.93 l
+1.33 0.89 l
+1.33 0.85 l
+1.33 0.82 l
+1.33 0.78 l
+1.33 0.74 l
+1.33 0.70 l
+1.33 0.65 l
+1.33 0.62 l
+1.33 0.56 l
+1.33 0.53 l
+1.33 0.47 l
+1.33 0.43 l
+1.33 0.38 l
+1.33 0.33 l
+1.33 0.29 l
+1.33 0.23 l
+1.33 0.17 l
+1.33 0.13 l
+1.33 0.09 l
+1.33 0.03 l
+1.33 -0.02 l
+1.33 -0.09 l
+1.33 -0.13 l
+1.33 -0.18 l
+1.33 -0.23 l
+1.33 -0.29 l
+1.33 -0.35 l
+1.33 -0.41 l
+1.33 -0.45 l
+1.33 -0.51 l
+1.33 -0.57 l
+1.33 -0.63 l
+1.33 -0.68 l
+1.33 -0.73 l
+1.33 -0.78 l
+1.33 -0.84 l
+1.33 -0.90 l
+1.33 -0.95 l
+1.33 -1.00 l
+1.32 -1.04 l
+1.33 -1.08 l
+1.33 -1.14 l
+1.33 -1.18 l
+1.33 -1.21 l
+1.33 -1.24 l
+1.33 -1.28 l
+1.33 -1.30 l
+1.33 -1.32 l
+1.33 -1.34 l
+1.33 -1.35 l
+1.33 -1.36 l
+1.33 -1.36 l
+1.33 -1.36 l
+1.33 -1.34 l
+1.33 -1.33 l
+1.33 -1.32 l
+1.33 -1.28 l
+1.33 -1.25 l
+1.33 -1.23 l
+501.72 505.08 lineto
+1.33 -1.14 l
+1.33 -1.10 l
+1.33 -1.06 l
+1.33 -1.01 l
+1.33 -0.97 l
+1.33 -0.93 l
+1.33 -0.87 l
+1.33 -0.83 l
+1.33 -0.80 l
+1.33 -0.77 l
+1.33 -0.73 l
+1.33 -0.70 l
+1.33 -0.68 l
+1.33 -0.67 l
+1.33 -0.66 l
+1.33 -0.65 l
+1.33 -0.66 l
+1.33 -0.66 l
+1.33 -0.68 l
+1.33 -0.70 l
+1.33 -0.72 l
+1.33 -0.75 l
+1.33 -0.79 l
+1.33 -0.82 l
+1.33 -0.85 l
+1.33 -0.90 l
+1.33 -0.95 l
+1.33 -1.00 l
+1.33 -1.03 l
+1.32 -1.07 l
+1.33 -1.12 l
+1.33 -1.17 l
+1.33 -1.20 l
+1.33 -1.24 l
+1.33 -1.27 l
+1.33 -1.30 l
+1.33 -1.34 l
+1.33 -1.35 l
+1.33 -1.38 l
+1.33 -1.39 l
+1.33 -1.40 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.41 l
+1.33 -1.39 l
+1.33 -1.38 l
+1.33 -1.37 l
+1.33 -1.35 l
+1.33 -1.33 l
+1.33 -1.32 l
+1.33 -1.29 l
+1.33 -1.28 l
+1.33 -1.26 l
+1.33 -1.23 l
+1.33 -1.22 l
+1.33 -1.20 l
+1.33 -1.18 l
+1.33 -1.17 l
+1.33 -1.16 l
+1.33 -1.14 l
+1.33 -1.13 l
+1.33 -1.12 l
+1.33 -1.12 l
+1.33 -1.11 l
+1.33 -1.12 l
+1.33 -1.12 l
+1.33 -1.11 l
+1.33 -1.13 l
+1.33 -1.13 l
+1.33 -1.15 l
+1.33 -1.16 l
+1.33 -1.16 l
+1.33 -1.19 l
+1.33 -1.20 l
+1.33 -1.21 l
+1.33 -1.23 l
+1.32 -1.24 l
+1.33 -1.26 l
+1.33 -1.27 l
+1.33 -1.29 l
+1.33 -1.30 l
+1.33 -1.30 l
+1.33 -1.31 l
+1.33 -1.32 l
+1.33 -1.32 l
+1.33 -1.32 l
+1.33 -1.31 l
+1.33 -1.32 l
+1.33 -1.30 l
+1.33 -1.29 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.24 l
+1.33 -1.22 l
+1.33 -1.20 l
+1.33 -1.18 l
+634.70 391.95 lineto
+1.33 -1.13 l
+1.33 -1.10 l
+1.33 -1.06 l
+1.33 -1.04 l
+1.33 -1.01 l
+1.33 -0.99 l
+1.33 -0.94 l
+1.33 -0.92 l
+1.33 -0.89 l
+1.33 -0.86 l
+1.33 -0.84 l
+1.33 -0.80 l
+1.33 -0.78 l
+1.33 -0.75 l
+1.33 -0.72 l
+1.33 -0.70 l
+1.33 -0.68 l
+1.33 -0.64 l
+1.33 -0.63 l
+1.33 -0.60 l
+1.33 -0.59 l
+1.33 -0.56 l
+1.33 -0.53 l
+1.33 -0.52 l
+1.33 -0.49 l
+1.33 -0.48 l
+1.33 -0.45 l
+1.33 -0.44 l
+1.33 -0.41 l
+1.32 -0.40 l
+1.33 -0.38 l
+1.33 -0.35 l
+1.33 -0.34 l
+1.33 -0.32 l
+1.33 -0.30 l
+1.33 -0.28 l
+1.33 -0.26 l
+1.33 -0.25 l
+1.33 -0.23 l
+1.33 -0.21 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.16 l
+1.33 -0.16 l
+1.33 -0.15 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.32 -0.07 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+767.68 362.47 lineto
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+107.95 355.24 m
+585.40 0 l
+o
+np
+107.95 355.24 m
+0 -3.60 l
+o
+np
+254.30 355.24 m
+0 -3.60 l
+o
+np
+400.65 355.24 m
+0 -3.60 l
+o
+np
+547.00 355.24 m
+0 -3.60 l
+o
+np
+693.35 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+107.95 335.08 (9) .5 0 0 t
+254.30 335.08 (10) .5 0 0 t
+400.65 335.08 (11) .5 0 0 t
+547.00 335.08 (12) .5 0 0 t
+693.35 335.08 (13) .5 0 0 t
+np
+75.60 362.38 m
+0 176.31 l
+o
+np
+75.60 362.38 m
+-3.60 0 l
+o
+np
+75.60 391.77 m
+-3.60 0 l
+o
+np
+75.60 421.15 m
+-3.60 0 l
+o
+np
+75.60 450.54 m
+-3.60 0 l
+o
+np
+75.60 479.92 m
+-3.60 0 l
+o
+np
+75.60 509.31 m
+-3.60 0 l
+o
+np
+75.60 538.69 m
+-3.60 0 l
+o
+64.08 362.38 (0.0) .5 0 90 t
+64.08 391.77 (0.1) .5 0 90 t
+64.08 421.15 (0.2) .5 0 90 t
+64.08 450.54 (0.3) .5 0 90 t
+64.08 479.92 (0.4) .5 0 90 t
+64.08 509.31 (0.5) .5 0 90 t
+64.08 538.69 (0.6) .5 0 90 t
+np
+75.60 355.24 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 451.86 (Density) .5 0 90 t
+75.60 355.24 809.49 548.48 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 362.38 m
+733.89 0 l
+o
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.04 l
+1.32 0.05 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.14 l
+1.33 0.13 l
+1.33 0.15 l
+1.33 0.14 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.18 l
+1.33 0.18 l
+1.33 0.18 l
+1.33 0.19 l
+1.33 0.20 l
+1.33 0.21 l
+1.33 0.21 l
+1.33 0.22 l
+1.33 0.23 l
+1.33 0.24 l
+1.33 0.25 l
+1.33 0.25 l
+1.33 0.27 l
+1.32 0.28 l
+1.33 0.29 l
+1.33 0.30 l
+1.33 0.32 l
+1.33 0.33 l
+1.33 0.34 l
+1.33 0.35 l
+1.33 0.37 l
+1.33 0.39 l
+1.33 0.39 l
+1.33 0.41 l
+1.33 0.43 l
+1.33 0.44 l
+1.33 0.46 l
+1.33 0.47 l
+1.33 0.49 l
+1.33 0.50 l
+1.33 0.52 l
+1.33 0.53 l
+235.76 97.46 lineto
+1.33 0.56 l
+1.33 0.58 l
+1.33 0.58 l
+1.33 0.61 l
+1.33 0.62 l
+1.33 0.64 l
+1.33 0.64 l
+1.33 0.66 l
+1.33 0.68 l
+1.33 0.69 l
+1.33 0.71 l
+1.33 0.72 l
+1.33 0.73 l
+1.33 0.75 l
+1.33 0.76 l
+1.33 0.78 l
+1.33 0.80 l
+1.33 0.80 l
+1.33 0.83 l
+1.33 0.84 l
+1.33 0.86 l
+1.33 0.87 l
+1.33 0.89 l
+1.33 0.90 l
+1.33 0.91 l
+1.33 0.94 l
+1.33 0.94 l
+1.33 0.96 l
+1.33 0.96 l
+1.33 0.98 l
+1.32 0.99 l
+1.33 0.99 l
+1.33 1.01 l
+1.33 1.00 l
+1.33 1.02 l
+1.33 1.01 l
+1.33 1.03 l
+1.33 1.02 l
+1.33 1.03 l
+1.33 1.02 l
+1.33 1.03 l
+1.33 1.04 l
+1.33 1.04 l
+1.33 1.04 l
+1.33 1.05 l
+1.33 1.06 l
+1.33 1.08 l
+1.33 1.09 l
+1.33 1.10 l
+1.33 1.13 l
+1.33 1.16 l
+1.33 1.18 l
+1.33 1.22 l
+1.33 1.26 l
+1.33 1.30 l
+1.33 1.35 l
+1.33 1.39 l
+1.33 1.46 l
+1.33 1.51 l
+1.33 1.58 l
+1.33 1.63 l
+1.33 1.69 l
+1.33 1.76 l
+1.33 1.83 l
+1.33 1.89 l
+1.33 1.95 l
+1.33 2.01 l
+1.33 2.06 l
+1.33 2.11 l
+1.33 2.16 l
+1.33 2.19 l
+1.33 2.22 l
+1.33 2.24 l
+1.33 2.26 l
+1.33 2.25 l
+1.33 2.26 l
+1.33 2.23 l
+1.33 2.22 l
+1.33 2.18 l
+1.33 2.14 l
+1.32 2.09 l
+1.33 2.03 l
+1.33 1.97 l
+1.33 1.91 l
+1.33 1.84 l
+1.33 1.75 l
+1.33 1.68 l
+1.33 1.61 l
+1.33 1.54 l
+1.33 1.47 l
+1.33 1.39 l
+1.33 1.32 l
+1.33 1.27 l
+1.33 1.22 l
+1.33 1.17 l
+1.33 1.13 l
+1.33 1.09 l
+1.33 1.06 l
+1.33 1.05 l
+368.74 225.74 lineto
+1.33 1.02 l
+1.33 1.02 l
+1.33 1.02 l
+1.33 1.03 l
+1.33 1.04 l
+1.33 1.04 l
+1.33 1.06 l
+1.33 1.07 l
+1.33 1.08 l
+1.33 1.09 l
+1.33 1.11 l
+1.33 1.10 l
+1.33 1.12 l
+1.33 1.11 l
+1.33 1.11 l
+1.33 1.11 l
+1.33 1.10 l
+1.33 1.09 l
+1.33 1.06 l
+1.33 1.05 l
+1.33 1.03 l
+1.33 1.00 l
+1.33 0.97 l
+1.33 0.94 l
+1.33 0.90 l
+1.33 0.88 l
+1.33 0.83 l
+1.33 0.80 l
+1.33 0.76 l
+1.32 0.72 l
+1.33 0.67 l
+1.33 0.64 l
+1.33 0.60 l
+1.33 0.55 l
+1.33 0.51 l
+1.33 0.47 l
+1.33 0.42 l
+1.33 0.38 l
+1.33 0.35 l
+1.33 0.29 l
+1.33 0.24 l
+1.33 0.20 l
+1.33 0.16 l
+1.33 0.12 l
+1.33 0.07 l
+1.33 0.01 l
+1.33 -0.03 l
+1.33 -0.07 l
+1.33 -0.11 l
+1.33 -0.16 l
+1.33 -0.21 l
+1.33 -0.26 l
+1.33 -0.29 l
+1.33 -0.33 l
+1.33 -0.37 l
+1.33 -0.41 l
+1.33 -0.45 l
+1.33 -0.48 l
+1.33 -0.51 l
+1.33 -0.54 l
+1.33 -0.57 l
+1.33 -0.60 l
+1.33 -0.63 l
+1.33 -0.65 l
+1.33 -0.68 l
+1.33 -0.70 l
+1.33 -0.74 l
+1.33 -0.76 l
+1.33 -0.79 l
+1.33 -0.82 l
+1.33 -0.85 l
+1.33 -0.89 l
+1.33 -0.94 l
+1.33 -0.98 l
+1.33 -1.02 l
+1.33 -1.08 l
+1.33 -1.12 l
+1.33 -1.19 l
+1.33 -1.25 l
+1.32 -1.31 l
+1.33 -1.37 l
+1.33 -1.44 l
+1.33 -1.50 l
+1.33 -1.59 l
+1.33 -1.64 l
+1.33 -1.71 l
+1.33 -1.77 l
+1.33 -1.82 l
+1.33 -1.88 l
+1.33 -1.94 l
+1.33 -1.97 l
+1.33 -2.01 l
+1.33 -2.03 l
+1.33 -2.06 l
+1.33 -2.07 l
+1.33 -2.07 l
+1.33 -2.06 l
+1.33 -2.05 l
+1.33 -2.03 l
+501.72 202.89 lineto
+1.33 -1.95 l
+1.33 -1.90 l
+1.33 -1.85 l
+1.33 -1.78 l
+1.33 -1.72 l
+1.33 -1.63 l
+1.33 -1.56 l
+1.33 -1.48 l
+1.33 -1.40 l
+1.33 -1.33 l
+1.33 -1.22 l
+1.33 -1.15 l
+1.33 -1.07 l
+1.33 -1.00 l
+1.33 -0.94 l
+1.33 -0.87 l
+1.33 -0.82 l
+1.33 -0.77 l
+1.33 -0.73 l
+1.33 -0.70 l
+1.33 -0.69 l
+1.33 -0.67 l
+1.33 -0.68 l
+1.33 -0.69 l
+1.33 -0.70 l
+1.33 -0.73 l
+1.33 -0.77 l
+1.33 -0.82 l
+1.33 -0.87 l
+1.32 -0.93 l
+1.33 -0.98 l
+1.33 -1.05 l
+1.33 -1.13 l
+1.33 -1.19 l
+1.33 -1.26 l
+1.33 -1.33 l
+1.33 -1.39 l
+1.33 -1.47 l
+1.33 -1.53 l
+1.33 -1.58 l
+1.33 -1.63 l
+1.33 -1.68 l
+1.33 -1.71 l
+1.33 -1.76 l
+1.33 -1.78 l
+1.33 -1.81 l
+1.33 -1.81 l
+1.33 -1.83 l
+1.33 -1.83 l
+1.33 -1.82 l
+1.33 -1.81 l
+1.33 -1.80 l
+1.33 -1.79 l
+1.33 -1.76 l
+1.33 -1.72 l
+1.33 -1.70 l
+1.33 -1.66 l
+1.33 -1.63 l
+1.33 -1.59 l
+1.33 -1.54 l
+1.33 -1.50 l
+1.33 -1.45 l
+1.33 -1.41 l
+1.33 -1.36 l
+1.33 -1.31 l
+1.33 -1.26 l
+1.33 -1.20 l
+1.33 -1.16 l
+1.33 -1.11 l
+1.33 -1.06 l
+1.33 -1.00 l
+1.33 -0.95 l
+1.33 -0.91 l
+1.33 -0.87 l
+1.33 -0.82 l
+1.33 -0.77 l
+1.33 -0.73 l
+1.33 -0.70 l
+1.33 -0.66 l
+1.32 -0.63 l
+1.33 -0.59 l
+1.33 -0.57 l
+1.33 -0.54 l
+1.33 -0.52 l
+1.33 -0.50 l
+1.33 -0.48 l
+1.33 -0.47 l
+1.33 -0.46 l
+1.33 -0.44 l
+1.33 -0.44 l
+1.33 -0.43 l
+1.33 -0.43 l
+1.33 -0.42 l
+1.33 -0.42 l
+1.33 -0.41 l
+1.33 -0.41 l
+1.33 -0.41 l
+1.33 -0.40 l
+1.33 -0.40 l
+634.70 91.92 lineto
+1.33 -0.38 l
+1.33 -0.37 l
+1.33 -0.36 l
+1.33 -0.35 l
+1.33 -0.33 l
+1.33 -0.32 l
+1.33 -0.30 l
+1.33 -0.29 l
+1.33 -0.26 l
+1.33 -0.25 l
+1.33 -0.23 l
+1.33 -0.21 l
+1.33 -0.19 l
+1.33 -0.17 l
+1.33 -0.15 l
+1.33 -0.14 l
+1.33 -0.12 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.06 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.32 -0.05 l
+1.33 -0.06 l
+1.33 -0.07 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.32 -0.04 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+767.68 82.82 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+210.25 75.60 m
+462.91 0 l
+o
+np
+210.25 75.60 m
+0 -3.60 l
+o
+np
+364.55 75.60 m
+0 -3.60 l
+o
+np
+518.86 75.60 m
+0 -3.60 l
+o
+np
+673.16 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+210.25 55.44 (-6) .5 0 0 t
+364.55 55.44 (-5) .5 0 0 t
+518.86 55.44 (-4) .5 0 0 t
+673.16 55.44 (-3) .5 0 0 t
+np
+75.60 82.75 m
+0 177.08 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 108.05 m
+-3.60 0 l
+o
+np
+75.60 133.34 m
+-3.60 0 l
+o
+np
+75.60 158.64 m
+-3.60 0 l
+o
+np
+75.60 183.94 m
+-3.60 0 l
+o
+np
+75.60 209.24 m
+-3.60 0 l
+o
+np
+75.60 234.54 m
+-3.60 0 l
+o
+np
+75.60 259.83 m
+-3.60 0 l
+o
+64.08 82.75 (0.0) .5 0 90 t
+64.08 133.34 (0.2) .5 0 90 t
+64.08 183.94 (0.4) .5 0 90 t
+64.08 234.54 (0.6) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+-384.94 -261.64 1226.83 856.91 cl
+ep
+%%Page: 16 16
+bp
+-384.94 -261.64 1226.83 856.91 cl
+/ps 18 def /Font1 findfont 18 s
+0 setgray
+420.94 514.89 (1988 Mexican Presidential Election) .5 0 0 t
+/bg { 1 setgray } def
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+ 197.23 73.93 m
+223.71 387.48 l
+223.72 -387.48 l
+cp p3
+/ps 12 def /Font1 findfont 12 s
+197.23 60.67 (Pr\(Y=1\)) .5 0 0 t
+644.66 60.67 (Pr\(Y=2\)) .5 0 0 t
+420.94 466.05 (Pr\(Y=3\)) .5 0 0 t
+0.7451 setgray
+0.75 setlinewidth
+[ 0.00 4.00] 0 setdash
+np
+555.17 73.93 m
+-178.97 309.98 l
+o
+np
+555.17 73.93 m
+44.74 77.49 l
+o
+np
+241.98 151.42 m
+357.93 0 l
+o
+0.6627 setgray
+464.94 231.07 (0.2) .5 0 120.00 t
+578.29 110.36 (0.8) .5 0 -120.00 t
+420.94 151.59 (0.2) .5 0 0 t
+0.7451 setgray
+np
+465.69 73.93 m
+-134.23 232.48 l
+o
+np
+465.69 73.93 m
+89.48 154.99 l
+o
+np
+286.72 228.92 m
+268.45 0 l
+o
+0.6627 setgray
+397.83 192.32 (0.4) .5 0 120.00 t
+511.17 149.10 (0.6) .5 0 -120.00 t
+420.94 229.08 (0.4) .5 0 0 t
+0.7451 setgray
+np
+376.20 73.93 m
+-89.48 154.99 l
+o
+np
+376.20 73.93 m
+134.23 232.48 l
+o
+np
+331.46 306.41 m
+178.97 0 l
+o
+0.6627 setgray
+330.72 153.58 (0.6) .5 0 120.00 t
+444.06 187.85 (0.4) .5 0 -120.00 t
+420.94 306.58 (0.6) .5 0 0 t
+0.7451 setgray
+np
+286.72 73.93 m
+-44.74 77.49 l
+o
+np
+286.72 73.93 m
+178.97 309.98 l
+o
+np
+376.20 383.91 m
+89.49 0 l
+o
+0.6627 setgray
+263.60 114.83 (0.8) .5 0 120.00 t
+376.95 226.60 (0.2) .5 0 -120.00 t
+420.94 384.08 (0.8) .5 0 0 t
+/bg { 0 0 1 rgb } def
+281.37 129.55 1.00 1.00 r p2
+293.96 145.42 1.00 1.00 r p2
+294.18 143.30 1.00 1.00 r p2
+286.61 127.73 1.00 1.00 r p2
+299.16 135.68 1.00 1.00 r p2
+291.23 135.89 1.00 1.00 r p2
+288.93 131.14 1.00 1.00 r p2
+294.42 134.33 1.00 1.00 r p2
+301.89 143.51 1.00 1.00 r p2
+280.38 135.14 1.00 1.00 r p2
+296.27 145.12 1.00 1.00 r p2
+276.78 120.99 1.00 1.00 r p2
+302.15 143.48 1.00 1.00 r p2
+291.65 126.78 1.00 1.00 r p2
+282.71 124.93 1.00 1.00 r p2
+303.82 134.20 1.00 1.00 r p2
+278.80 136.34 1.00 1.00 r p2
+288.05 142.15 1.00 1.00 r p2
+278.85 127.18 1.00 1.00 r p2
+288.84 129.82 1.00 1.00 r p2
+299.96 134.72 1.00 1.00 r p2
+287.11 129.93 1.00 1.00 r p2
+295.84 143.19 1.00 1.00 r p2
+286.22 130.36 1.00 1.00 r p2
+301.64 142.07 1.00 1.00 r p2
+293.67 144.56 1.00 1.00 r p2
+288.03 141.63 1.00 1.00 r p2
+281.26 127.67 1.00 1.00 r p2
+291.35 141.02 1.00 1.00 r p2
+291.06 137.21 1.00 1.00 r p2
+296.30 141.88 1.00 1.00 r p2
+283.39 131.10 1.00 1.00 r p2
+292.04 137.14 1.00 1.00 r p2
+276.75 136.54 1.00 1.00 r p2
+285.84 128.22 1.00 1.00 r p2
+301.20 132.09 1.00 1.00 r p2
+277.02 132.45 1.00 1.00 r p2
+285.66 137.57 1.00 1.00 r p2
+282.38 125.56 1.00 1.00 r p2
+277.11 142.12 1.00 1.00 r p2
+297.40 146.20 1.00 1.00 r p2
+277.83 135.56 1.00 1.00 r p2
+280.96 133.36 1.00 1.00 r p2
+298.89 128.54 1.00 1.00 r p2
+293.23 138.73 1.00 1.00 r p2
+288.92 128.53 1.00 1.00 r p2
+280.77 136.01 1.00 1.00 r p2
+283.58 138.05 1.00 1.00 r p2
+272.81 119.41 1.00 1.00 r p2
+308.78 151.27 1.00 1.00 r p2
+292.19 124.81 1.00 1.00 r p2
+290.66 133.30 1.00 1.00 r p2
+300.03 141.35 1.00 1.00 r p2
+296.73 129.22 1.00 1.00 r p2
+284.92 132.63 1.00 1.00 r p2
+289.51 133.31 1.00 1.00 r p2
+290.31 135.56 1.00 1.00 r p2
+285.79 126.01 1.00 1.00 r p2
+298.03 136.36 1.00 1.00 r p2
+286.82 133.45 1.00 1.00 r p2
+295.24 135.83 1.00 1.00 r p2
+295.68 138.49 1.00 1.00 r p2
+286.13 123.42 1.00 1.00 r p2
+280.95 125.82 1.00 1.00 r p2
+288.33 140.28 1.00 1.00 r p2
+286.11 131.33 1.00 1.00 r p2
+291.68 128.20 1.00 1.00 r p2
+281.75 144.07 1.00 1.00 r p2
+292.60 136.86 1.00 1.00 r p2
+281.22 128.18 1.00 1.00 r p2
+295.43 140.97 1.00 1.00 r p2
+301.23 132.99 1.00 1.00 r p2
+283.48 127.56 1.00 1.00 r p2
+299.26 137.72 1.00 1.00 r p2
+273.30 122.41 1.00 1.00 r p2
+285.95 124.93 1.00 1.00 r p2
+298.14 134.27 1.00 1.00 r p2
+290.57 132.67 1.00 1.00 r p2
+286.12 134.07 1.00 1.00 r p2
+295.93 135.28 1.00 1.00 r p2
+292.35 137.53 1.00 1.00 r p2
+278.13 130.99 1.00 1.00 r p2
+279.88 129.23 1.00 1.00 r p2
+285.89 130.85 1.00 1.00 r p2
+290.75 140.44 1.00 1.00 r p2
+291.90 133.15 1.00 1.00 r p2
+284.57 137.01 1.00 1.00 r p2
+298.56 133.57 1.00 1.00 r p2
+289.03 128.13 1.00 1.00 r p2
+283.67 129.83 1.00 1.00 r p2
+292.31 130.33 1.00 1.00 r p2
+284.84 129.72 1.00 1.00 r p2
+295.03 132.65 1.00 1.00 r p2
+289.08 142.59 1.00 1.00 r p2
+295.34 145.58 1.00 1.00 r p2
+287.49 148.71 1.00 1.00 r p2
+293.36 144.37 1.00 1.00 r p2
+286.05 128.63 1.00 1.00 r p2
+287.79 133.44 1.00 1.00 r p2
+285.78 139.01 1.00 1.00 r p2
+287.64 124.01 1.00 1.00 r p2
+270.90 125.74 1.00 1.00 r p2
+290.50 130.45 1.00 1.00 r p2
+286.07 124.61 1.00 1.00 r p2
+290.82 133.61 1.00 1.00 r p2
+290.99 130.17 1.00 1.00 r p2
+283.02 125.77 1.00 1.00 r p2
+302.25 138.19 1.00 1.00 r p2
+281.87 132.46 1.00 1.00 r p2
+286.97 133.49 1.00 1.00 r p2
+286.29 128.94 1.00 1.00 r p2
+287.50 135.78 1.00 1.00 r p2
+280.76 126.16 1.00 1.00 r p2
+304.34 151.92 1.00 1.00 r p2
+292.29 132.85 1.00 1.00 r p2
+279.23 127.66 1.00 1.00 r p2
+295.54 142.69 1.00 1.00 r p2
+279.03 136.39 1.00 1.00 r p2
+289.61 137.29 1.00 1.00 r p2
+282.64 131.14 1.00 1.00 r p2
+311.33 145.55 1.00 1.00 r p2
+289.12 130.84 1.00 1.00 r p2
+281.16 130.31 1.00 1.00 r p2
+295.54 137.79 1.00 1.00 r p2
+302.11 144.62 1.00 1.00 r p2
+285.11 132.03 1.00 1.00 r p2
+294.12 125.81 1.00 1.00 r p2
+283.42 132.88 1.00 1.00 r p2
+298.04 138.91 1.00 1.00 r p2
+292.53 144.86 1.00 1.00 r p2
+281.36 135.87 1.00 1.00 r p2
+294.98 145.83 1.00 1.00 r p2
+284.03 132.34 1.00 1.00 r p2
+271.24 134.54 1.00 1.00 r p2
+270.99 124.75 1.00 1.00 r p2
+288.86 142.29 1.00 1.00 r p2
+292.94 144.31 1.00 1.00 r p2
+282.97 137.60 1.00 1.00 r p2
+283.39 130.80 1.00 1.00 r p2
+282.14 133.00 1.00 1.00 r p2
+292.12 141.31 1.00 1.00 r p2
+298.51 133.91 1.00 1.00 r p2
+291.10 146.31 1.00 1.00 r p2
+286.97 138.58 1.00 1.00 r p2
+294.60 135.51 1.00 1.00 r p2
+295.83 138.66 1.00 1.00 r p2
+282.45 135.90 1.00 1.00 r p2
+286.08 123.26 1.00 1.00 r p2
+312.59 136.16 1.00 1.00 r p2
+289.22 134.74 1.00 1.00 r p2
+282.37 115.62 1.00 1.00 r p2
+288.89 140.40 1.00 1.00 r p2
+276.72 128.56 1.00 1.00 r p2
+290.64 153.12 1.00 1.00 r p2
+293.51 127.10 1.00 1.00 r p2
+282.67 130.87 1.00 1.00 r p2
+297.94 141.59 1.00 1.00 r p2
+286.74 124.25 1.00 1.00 r p2
+291.88 135.66 1.00 1.00 r p2
+294.44 138.80 1.00 1.00 r p2
+297.26 130.18 1.00 1.00 r p2
+280.46 131.48 1.00 1.00 r p2
+300.53 130.02 1.00 1.00 r p2
+281.61 138.13 1.00 1.00 r p2
+294.02 139.74 1.00 1.00 r p2
+298.08 126.82 1.00 1.00 r p2
+292.71 135.62 1.00 1.00 r p2
+279.80 125.73 1.00 1.00 r p2
+296.01 142.75 1.00 1.00 r p2
+292.16 141.45 1.00 1.00 r p2
+278.12 129.03 1.00 1.00 r p2
+281.52 129.97 1.00 1.00 r p2
+282.49 132.78 1.00 1.00 r p2
+282.09 126.80 1.00 1.00 r p2
+275.60 130.56 1.00 1.00 r p2
+292.71 144.94 1.00 1.00 r p2
+288.62 125.49 1.00 1.00 r p2
+286.87 139.93 1.00 1.00 r p2
+290.79 132.97 1.00 1.00 r p2
+279.61 129.54 1.00 1.00 r p2
+272.82 127.40 1.00 1.00 r p2
+293.22 138.16 1.00 1.00 r p2
+298.69 142.08 1.00 1.00 r p2
+290.90 145.59 1.00 1.00 r p2
+280.18 135.09 1.00 1.00 r p2
+272.90 123.52 1.00 1.00 r p2
+291.40 133.81 1.00 1.00 r p2
+285.38 138.10 1.00 1.00 r p2
+288.80 133.62 1.00 1.00 r p2
+300.04 135.41 1.00 1.00 r p2
+299.51 142.87 1.00 1.00 r p2
+294.45 130.97 1.00 1.00 r p2
+280.88 141.49 1.00 1.00 r p2
+285.16 135.08 1.00 1.00 r p2
+283.71 132.23 1.00 1.00 r p2
+289.61 144.16 1.00 1.00 r p2
+298.14 136.06 1.00 1.00 r p2
+297.24 127.09 1.00 1.00 r p2
+293.15 129.60 1.00 1.00 r p2
+283.41 130.08 1.00 1.00 r p2
+292.59 138.13 1.00 1.00 r p2
+285.05 132.34 1.00 1.00 r p2
+284.86 130.55 1.00 1.00 r p2
+276.74 133.22 1.00 1.00 r p2
+293.35 129.33 1.00 1.00 r p2
+293.61 130.95 1.00 1.00 r p2
+284.80 141.08 1.00 1.00 r p2
+287.05 132.06 1.00 1.00 r p2
+283.69 128.73 1.00 1.00 r p2
+292.47 132.87 1.00 1.00 r p2
+294.61 141.33 1.00 1.00 r p2
+284.47 135.26 1.00 1.00 r p2
+292.24 135.41 1.00 1.00 r p2
+285.17 128.06 1.00 1.00 r p2
+286.18 135.73 1.00 1.00 r p2
+295.19 138.16 1.00 1.00 r p2
+286.36 135.59 1.00 1.00 r p2
+284.69 124.47 1.00 1.00 r p2
+295.09 140.65 1.00 1.00 r p2
+286.42 128.17 1.00 1.00 r p2
+283.82 130.73 1.00 1.00 r p2
+281.66 129.45 1.00 1.00 r p2
+280.95 137.27 1.00 1.00 r p2
+283.37 141.90 1.00 1.00 r p2
+275.17 125.13 1.00 1.00 r p2
+301.26 138.18 1.00 1.00 r p2
+282.58 134.61 1.00 1.00 r p2
+289.95 136.93 1.00 1.00 r p2
+294.83 137.65 1.00 1.00 r p2
+303.29 138.96 1.00 1.00 r p2
+274.10 129.79 1.00 1.00 r p2
+282.34 132.79 1.00 1.00 r p2
+277.80 126.56 1.00 1.00 r p2
+300.09 133.12 1.00 1.00 r p2
+278.46 124.01 1.00 1.00 r p2
+278.37 130.47 1.00 1.00 r p2
+279.89 131.47 1.00 1.00 r p2
+293.18 136.97 1.00 1.00 r p2
+289.07 136.37 1.00 1.00 r p2
+280.53 141.95 1.00 1.00 r p2
+279.40 125.13 1.00 1.00 r p2
+282.13 131.28 1.00 1.00 r p2
+286.44 133.41 1.00 1.00 r p2
+293.28 144.27 1.00 1.00 r p2
+295.86 127.12 1.00 1.00 r p2
+292.50 136.51 1.00 1.00 r p2
+286.62 138.47 1.00 1.00 r p2
+291.08 132.63 1.00 1.00 r p2
+291.19 139.51 1.00 1.00 r p2
+298.29 148.31 1.00 1.00 r p2
+305.30 139.82 1.00 1.00 r p2
+280.97 136.36 1.00 1.00 r p2
+311.94 133.18 1.00 1.00 r p2
+294.12 140.59 1.00 1.00 r p2
+285.06 135.39 1.00 1.00 r p2
+294.21 149.26 1.00 1.00 r p2
+283.18 128.28 1.00 1.00 r p2
+293.88 143.36 1.00 1.00 r p2
+301.42 137.69 1.00 1.00 r p2
+292.22 131.75 1.00 1.00 r p2
+295.14 137.71 1.00 1.00 r p2
+296.96 130.25 1.00 1.00 r p2
+279.42 127.68 1.00 1.00 r p2
+300.74 133.05 1.00 1.00 r p2
+276.82 122.19 1.00 1.00 r p2
+290.03 139.22 1.00 1.00 r p2
+281.86 129.45 1.00 1.00 r p2
+296.39 132.08 1.00 1.00 r p2
+290.04 136.36 1.00 1.00 r p2
+287.39 134.84 1.00 1.00 r p2
+286.07 141.54 1.00 1.00 r p2
+288.53 133.16 1.00 1.00 r p2
+279.18 129.40 1.00 1.00 r p2
+302.06 140.23 1.00 1.00 r p2
+301.27 122.04 1.00 1.00 r p2
+295.45 139.09 1.00 1.00 r p2
+289.12 134.15 1.00 1.00 r p2
+296.13 126.92 1.00 1.00 r p2
+289.37 129.16 1.00 1.00 r p2
+292.98 133.96 1.00 1.00 r p2
+299.14 143.31 1.00 1.00 r p2
+291.02 137.01 1.00 1.00 r p2
+289.11 140.40 1.00 1.00 r p2
+296.69 138.38 1.00 1.00 r p2
+295.68 126.07 1.00 1.00 r p2
+289.95 148.55 1.00 1.00 r p2
+286.55 127.99 1.00 1.00 r p2
+291.28 136.44 1.00 1.00 r p2
+287.09 128.41 1.00 1.00 r p2
+283.51 129.01 1.00 1.00 r p2
+290.70 131.48 1.00 1.00 r p2
+293.25 131.51 1.00 1.00 r p2
+298.89 143.46 1.00 1.00 r p2
+295.01 129.47 1.00 1.00 r p2
+289.67 135.35 1.00 1.00 r p2
+271.54 125.74 1.00 1.00 r p2
+282.69 137.49 1.00 1.00 r p2
+283.68 127.73 1.00 1.00 r p2
+293.89 139.98 1.00 1.00 r p2
+289.07 134.36 1.00 1.00 r p2
+276.37 133.16 1.00 1.00 r p2
+294.01 139.35 1.00 1.00 r p2
+288.97 145.26 1.00 1.00 r p2
+288.09 128.76 1.00 1.00 r p2
+293.90 130.82 1.00 1.00 r p2
+290.03 125.13 1.00 1.00 r p2
+289.57 139.36 1.00 1.00 r p2
+290.79 132.45 1.00 1.00 r p2
+295.43 131.20 1.00 1.00 r p2
+298.02 143.15 1.00 1.00 r p2
+291.72 126.59 1.00 1.00 r p2
+283.10 126.20 1.00 1.00 r p2
+286.48 141.94 1.00 1.00 r p2
+273.22 138.10 1.00 1.00 r p2
+289.78 136.80 1.00 1.00 r p2
+285.53 134.62 1.00 1.00 r p2
+293.38 138.36 1.00 1.00 r p2
+300.26 145.93 1.00 1.00 r p2
+280.31 122.82 1.00 1.00 r p2
+292.72 133.99 1.00 1.00 r p2
+287.50 135.26 1.00 1.00 r p2
+278.11 124.28 1.00 1.00 r p2
+286.26 135.60 1.00 1.00 r p2
+281.24 122.72 1.00 1.00 r p2
+308.06 142.19 1.00 1.00 r p2
+297.06 136.75 1.00 1.00 r p2
+285.52 143.85 1.00 1.00 r p2
+290.83 138.51 1.00 1.00 r p2
+293.44 145.89 1.00 1.00 r p2
+280.32 133.15 1.00 1.00 r p2
+297.97 135.99 1.00 1.00 r p2
+292.35 133.25 1.00 1.00 r p2
+285.68 134.65 1.00 1.00 r p2
+295.40 132.94 1.00 1.00 r p2
+284.01 137.54 1.00 1.00 r p2
+295.48 126.95 1.00 1.00 r p2
+269.16 130.67 1.00 1.00 r p2
+279.60 146.75 1.00 1.00 r p2
+292.15 135.36 1.00 1.00 r p2
+300.51 138.65 1.00 1.00 r p2
+285.55 144.96 1.00 1.00 r p2
+288.34 132.82 1.00 1.00 r p2
+296.32 147.14 1.00 1.00 r p2
+285.70 141.56 1.00 1.00 r p2
+287.78 127.72 1.00 1.00 r p2
+283.07 142.53 1.00 1.00 r p2
+291.79 132.57 1.00 1.00 r p2
+287.77 142.46 1.00 1.00 r p2
+287.98 125.93 1.00 1.00 r p2
+288.93 132.66 1.00 1.00 r p2
+286.69 124.37 1.00 1.00 r p2
+285.39 128.15 1.00 1.00 r p2
+286.26 133.80 1.00 1.00 r p2
+288.49 136.60 1.00 1.00 r p2
+300.71 137.07 1.00 1.00 r p2
+286.03 130.59 1.00 1.00 r p2
+293.92 139.43 1.00 1.00 r p2
+283.50 136.15 1.00 1.00 r p2
+290.82 138.33 1.00 1.00 r p2
+287.75 134.07 1.00 1.00 r p2
+301.08 139.87 1.00 1.00 r p2
+285.82 138.90 1.00 1.00 r p2
+285.78 136.83 1.00 1.00 r p2
+285.41 137.03 1.00 1.00 r p2
+296.62 143.88 1.00 1.00 r p2
+294.09 141.48 1.00 1.00 r p2
+286.66 144.11 1.00 1.00 r p2
+272.56 118.32 1.00 1.00 r p2
+291.27 141.83 1.00 1.00 r p2
+281.12 129.46 1.00 1.00 r p2
+287.46 132.14 1.00 1.00 r p2
+282.38 124.04 1.00 1.00 r p2
+273.39 126.33 1.00 1.00 r p2
+301.07 150.32 1.00 1.00 r p2
+278.13 134.14 1.00 1.00 r p2
+296.67 141.86 1.00 1.00 r p2
+305.69 132.82 1.00 1.00 r p2
+296.15 135.64 1.00 1.00 r p2
+298.75 145.04 1.00 1.00 r p2
+287.45 129.32 1.00 1.00 r p2
+285.05 142.90 1.00 1.00 r p2
+278.98 124.73 1.00 1.00 r p2
+280.86 136.51 1.00 1.00 r p2
+286.33 139.62 1.00 1.00 r p2
+293.04 132.74 1.00 1.00 r p2
+312.85 143.00 1.00 1.00 r p2
+303.79 125.77 1.00 1.00 r p2
+290.16 128.04 1.00 1.00 r p2
+296.57 136.77 1.00 1.00 r p2
+282.71 127.90 1.00 1.00 r p2
+293.56 127.73 1.00 1.00 r p2
+293.98 142.94 1.00 1.00 r p2
+291.65 133.13 1.00 1.00 r p2
+291.61 127.71 1.00 1.00 r p2
+283.16 127.70 1.00 1.00 r p2
+281.97 126.70 1.00 1.00 r p2
+292.31 136.95 1.00 1.00 r p2
+293.47 143.74 1.00 1.00 r p2
+279.56 127.93 1.00 1.00 r p2
+282.48 123.74 1.00 1.00 r p2
+284.40 129.59 1.00 1.00 r p2
+292.49 126.57 1.00 1.00 r p2
+297.42 144.86 1.00 1.00 r p2
+288.88 138.74 1.00 1.00 r p2
+294.80 130.83 1.00 1.00 r p2
+289.73 137.67 1.00 1.00 r p2
+276.13 131.29 1.00 1.00 r p2
+274.77 123.68 1.00 1.00 r p2
+295.98 136.55 1.00 1.00 r p2
+295.42 135.75 1.00 1.00 r p2
+287.24 151.70 1.00 1.00 r p2
+298.41 129.36 1.00 1.00 r p2
+291.13 128.96 1.00 1.00 r p2
+279.87 132.15 1.00 1.00 r p2
+286.50 133.09 1.00 1.00 r p2
+286.23 139.85 1.00 1.00 r p2
+287.09 125.92 1.00 1.00 r p2
+281.27 132.42 1.00 1.00 r p2
+283.71 133.58 1.00 1.00 r p2
+281.02 135.04 1.00 1.00 r p2
+296.14 137.03 1.00 1.00 r p2
+287.25 135.35 1.00 1.00 r p2
+277.00 122.22 1.00 1.00 r p2
+285.64 133.96 1.00 1.00 r p2
+288.79 141.96 1.00 1.00 r p2
+288.47 138.82 1.00 1.00 r p2
+275.76 129.70 1.00 1.00 r p2
+288.85 134.64 1.00 1.00 r p2
+290.09 131.02 1.00 1.00 r p2
+282.59 135.06 1.00 1.00 r p2
+294.67 149.63 1.00 1.00 r p2
+302.10 134.80 1.00 1.00 r p2
+301.32 132.92 1.00 1.00 r p2
+284.83 129.75 1.00 1.00 r p2
+291.56 137.86 1.00 1.00 r p2
+298.00 135.72 1.00 1.00 r p2
+296.47 127.62 1.00 1.00 r p2
+289.25 142.58 1.00 1.00 r p2
+282.13 133.73 1.00 1.00 r p2
+280.98 127.13 1.00 1.00 r p2
+288.23 129.36 1.00 1.00 r p2
+286.07 137.79 1.00 1.00 r p2
+302.34 146.26 1.00 1.00 r p2
+280.30 136.56 1.00 1.00 r p2
+296.02 127.02 1.00 1.00 r p2
+283.18 129.93 1.00 1.00 r p2
+284.88 131.84 1.00 1.00 r p2
+293.55 133.69 1.00 1.00 r p2
+286.42 127.16 1.00 1.00 r p2
+297.08 144.77 1.00 1.00 r p2
+291.26 137.60 1.00 1.00 r p2
+293.02 137.91 1.00 1.00 r p2
+273.78 131.18 1.00 1.00 r p2
+285.36 141.76 1.00 1.00 r p2
+293.17 132.63 1.00 1.00 r p2
+288.89 124.97 1.00 1.00 r p2
+283.57 134.18 1.00 1.00 r p2
+287.55 137.42 1.00 1.00 r p2
+283.30 126.54 1.00 1.00 r p2
+290.18 135.32 1.00 1.00 r p2
+279.26 122.88 1.00 1.00 r p2
+274.10 124.89 1.00 1.00 r p2
+280.89 135.54 1.00 1.00 r p2
+284.97 135.04 1.00 1.00 r p2
+284.78 132.48 1.00 1.00 r p2
+296.00 135.46 1.00 1.00 r p2
+282.45 135.07 1.00 1.00 r p2
+295.05 131.74 1.00 1.00 r p2
+284.80 126.76 1.00 1.00 r p2
+306.42 135.15 1.00 1.00 r p2
+289.09 138.50 1.00 1.00 r p2
+288.33 130.93 1.00 1.00 r p2
+275.56 119.25 1.00 1.00 r p2
+292.95 137.09 1.00 1.00 r p2
+285.44 126.08 1.00 1.00 r p2
+273.13 123.03 1.00 1.00 r p2
+290.46 133.59 1.00 1.00 r p2
+288.02 135.47 1.00 1.00 r p2
+277.07 125.67 1.00 1.00 r p2
+293.25 141.44 1.00 1.00 r p2
+290.43 139.44 1.00 1.00 r p2
+280.10 139.87 1.00 1.00 r p2
+277.10 127.89 1.00 1.00 r p2
+298.80 142.51 1.00 1.00 r p2
+277.55 137.24 1.00 1.00 r p2
+276.63 122.91 1.00 1.00 r p2
+281.63 148.40 1.00 1.00 r p2
+283.53 127.89 1.00 1.00 r p2
+283.28 142.36 1.00 1.00 r p2
+294.91 120.55 1.00 1.00 r p2
+277.11 127.97 1.00 1.00 r p2
+297.50 141.57 1.00 1.00 r p2
+276.34 127.28 1.00 1.00 r p2
+298.23 141.67 1.00 1.00 r p2
+291.86 121.85 1.00 1.00 r p2
+300.45 141.53 1.00 1.00 r p2
+298.41 154.33 1.00 1.00 r p2
+287.04 131.23 1.00 1.00 r p2
+281.53 128.81 1.00 1.00 r p2
+307.06 141.90 1.00 1.00 r p2
+295.12 135.21 1.00 1.00 r p2
+286.10 135.60 1.00 1.00 r p2
+299.66 144.52 1.00 1.00 r p2
+286.34 130.90 1.00 1.00 r p2
+300.25 135.68 1.00 1.00 r p2
+298.80 125.60 1.00 1.00 r p2
+291.02 137.75 1.00 1.00 r p2
+289.40 135.36 1.00 1.00 r p2
+289.10 135.10 1.00 1.00 r p2
+292.90 155.71 1.00 1.00 r p2
+285.67 137.66 1.00 1.00 r p2
+311.04 141.89 1.00 1.00 r p2
+286.45 134.15 1.00 1.00 r p2
+297.38 141.16 1.00 1.00 r p2
+291.03 130.23 1.00 1.00 r p2
+309.94 140.38 1.00 1.00 r p2
+292.03 141.54 1.00 1.00 r p2
+280.78 119.50 1.00 1.00 r p2
+283.63 127.31 1.00 1.00 r p2
+285.82 128.18 1.00 1.00 r p2
+288.23 141.86 1.00 1.00 r p2
+292.07 140.94 1.00 1.00 r p2
+274.01 123.25 1.00 1.00 r p2
+292.87 140.89 1.00 1.00 r p2
+295.92 137.53 1.00 1.00 r p2
+283.00 131.01 1.00 1.00 r p2
+297.70 135.45 1.00 1.00 r p2
+280.99 133.91 1.00 1.00 r p2
+280.99 132.81 1.00 1.00 r p2
+284.98 133.55 1.00 1.00 r p2
+291.18 144.88 1.00 1.00 r p2
+298.70 142.04 1.00 1.00 r p2
+283.03 133.94 1.00 1.00 r p2
+286.15 133.78 1.00 1.00 r p2
+285.80 136.49 1.00 1.00 r p2
+282.52 133.45 1.00 1.00 r p2
+289.56 136.89 1.00 1.00 r p2
+285.84 142.82 1.00 1.00 r p2
+286.73 140.20 1.00 1.00 r p2
+290.28 135.33 1.00 1.00 r p2
+296.05 151.30 1.00 1.00 r p2
+289.21 143.90 1.00 1.00 r p2
+286.35 127.44 1.00 1.00 r p2
+295.82 128.83 1.00 1.00 r p2
+298.63 132.58 1.00 1.00 r p2
+283.61 133.99 1.00 1.00 r p2
+296.46 137.83 1.00 1.00 r p2
+304.13 137.63 1.00 1.00 r p2
+274.29 126.50 1.00 1.00 r p2
+280.47 138.85 1.00 1.00 r p2
+290.08 132.93 1.00 1.00 r p2
+286.74 141.79 1.00 1.00 r p2
+292.29 148.37 1.00 1.00 r p2
+284.09 141.83 1.00 1.00 r p2
+290.26 146.81 1.00 1.00 r p2
+281.59 123.62 1.00 1.00 r p2
+292.94 133.86 1.00 1.00 r p2
+293.71 135.86 1.00 1.00 r p2
+288.86 133.22 1.00 1.00 r p2
+288.64 134.30 1.00 1.00 r p2
+292.78 142.17 1.00 1.00 r p2
+300.55 129.97 1.00 1.00 r p2
+295.59 137.96 1.00 1.00 r p2
+287.87 138.32 1.00 1.00 r p2
+303.09 144.40 1.00 1.00 r p2
+298.37 146.87 1.00 1.00 r p2
+287.76 130.17 1.00 1.00 r p2
+276.93 125.69 1.00 1.00 r p2
+297.91 131.61 1.00 1.00 r p2
+279.79 133.88 1.00 1.00 r p2
+293.46 135.44 1.00 1.00 r p2
+285.71 138.22 1.00 1.00 r p2
+283.41 133.30 1.00 1.00 r p2
+301.81 139.55 1.00 1.00 r p2
+290.14 128.25 1.00 1.00 r p2
+289.60 129.79 1.00 1.00 r p2
+288.78 142.06 1.00 1.00 r p2
+280.80 130.58 1.00 1.00 r p2
+283.39 126.74 1.00 1.00 r p2
+292.71 141.05 1.00 1.00 r p2
+282.29 132.25 1.00 1.00 r p2
+297.26 129.11 1.00 1.00 r p2
+295.99 132.30 1.00 1.00 r p2
+275.23 127.35 1.00 1.00 r p2
+280.25 130.75 1.00 1.00 r p2
+292.83 132.96 1.00 1.00 r p2
+296.97 129.23 1.00 1.00 r p2
+293.83 146.01 1.00 1.00 r p2
+297.94 132.85 1.00 1.00 r p2
+294.89 131.23 1.00 1.00 r p2
+293.54 134.42 1.00 1.00 r p2
+307.04 138.23 1.00 1.00 r p2
+285.50 133.76 1.00 1.00 r p2
+286.22 138.26 1.00 1.00 r p2
+282.05 126.68 1.00 1.00 r p2
+277.04 130.29 1.00 1.00 r p2
+279.87 135.27 1.00 1.00 r p2
+286.19 146.36 1.00 1.00 r p2
+284.59 133.76 1.00 1.00 r p2
+297.59 134.90 1.00 1.00 r p2
+287.03 137.08 1.00 1.00 r p2
+295.53 129.58 1.00 1.00 r p2
+306.35 135.88 1.00 1.00 r p2
+304.23 135.70 1.00 1.00 r p2
+295.20 135.57 1.00 1.00 r p2
+287.22 134.38 1.00 1.00 r p2
+295.41 136.30 1.00 1.00 r p2
+292.82 138.19 1.00 1.00 r p2
+281.65 130.85 1.00 1.00 r p2
+282.53 139.80 1.00 1.00 r p2
+290.55 128.63 1.00 1.00 r p2
+292.28 142.24 1.00 1.00 r p2
+282.19 137.53 1.00 1.00 r p2
+290.78 136.76 1.00 1.00 r p2
+284.43 134.78 1.00 1.00 r p2
+280.23 124.01 1.00 1.00 r p2
+291.04 140.06 1.00 1.00 r p2
+274.09 128.51 1.00 1.00 r p2
+293.74 135.17 1.00 1.00 r p2
+292.47 130.90 1.00 1.00 r p2
+293.13 148.87 1.00 1.00 r p2
+286.56 132.88 1.00 1.00 r p2
+298.50 153.49 1.00 1.00 r p2
+285.80 129.20 1.00 1.00 r p2
+284.13 142.49 1.00 1.00 r p2
+293.76 126.13 1.00 1.00 r p2
+283.81 134.17 1.00 1.00 r p2
+284.56 134.82 1.00 1.00 r p2
+307.96 142.93 1.00 1.00 r p2
+292.53 128.15 1.00 1.00 r p2
+272.82 122.02 1.00 1.00 r p2
+284.77 140.12 1.00 1.00 r p2
+283.05 128.08 1.00 1.00 r p2
+293.54 139.19 1.00 1.00 r p2
+293.05 133.86 1.00 1.00 r p2
+289.35 144.95 1.00 1.00 r p2
+287.00 139.72 1.00 1.00 r p2
+288.96 138.10 1.00 1.00 r p2
+295.41 149.06 1.00 1.00 r p2
+275.34 124.63 1.00 1.00 r p2
+278.39 127.59 1.00 1.00 r p2
+299.71 141.45 1.00 1.00 r p2
+282.35 136.75 1.00 1.00 r p2
+291.60 142.00 1.00 1.00 r p2
+299.93 132.12 1.00 1.00 r p2
+293.26 137.37 1.00 1.00 r p2
+282.95 137.72 1.00 1.00 r p2
+282.17 127.59 1.00 1.00 r p2
+289.10 134.85 1.00 1.00 r p2
+288.55 131.13 1.00 1.00 r p2
+289.63 131.76 1.00 1.00 r p2
+287.05 134.30 1.00 1.00 r p2
+295.33 136.28 1.00 1.00 r p2
+286.13 126.56 1.00 1.00 r p2
+287.85 134.23 1.00 1.00 r p2
+284.17 135.24 1.00 1.00 r p2
+282.19 123.70 1.00 1.00 r p2
+287.30 126.49 1.00 1.00 r p2
+291.58 136.11 1.00 1.00 r p2
+285.09 138.69 1.00 1.00 r p2
+289.72 132.68 1.00 1.00 r p2
+289.34 123.27 1.00 1.00 r p2
+287.27 131.96 1.00 1.00 r p2
+287.62 138.93 1.00 1.00 r p2
+278.68 132.09 1.00 1.00 r p2
+280.05 140.04 1.00 1.00 r p2
+302.15 143.49 1.00 1.00 r p2
+302.02 142.26 1.00 1.00 r p2
+288.09 127.69 1.00 1.00 r p2
+282.92 130.64 1.00 1.00 r p2
+292.21 129.26 1.00 1.00 r p2
+291.39 136.83 1.00 1.00 r p2
+284.26 132.51 1.00 1.00 r p2
+288.69 140.69 1.00 1.00 r p2
+283.91 137.16 1.00 1.00 r p2
+284.39 136.72 1.00 1.00 r p2
+288.29 137.26 1.00 1.00 r p2
+282.30 129.66 1.00 1.00 r p2
+291.61 132.92 1.00 1.00 r p2
+280.72 143.07 1.00 1.00 r p2
+288.58 136.50 1.00 1.00 r p2
+298.27 149.96 1.00 1.00 r p2
+281.47 129.99 1.00 1.00 r p2
+297.77 140.17 1.00 1.00 r p2
+294.14 139.23 1.00 1.00 r p2
+277.35 124.88 1.00 1.00 r p2
+287.91 134.73 1.00 1.00 r p2
+291.12 133.61 1.00 1.00 r p2
+287.42 136.55 1.00 1.00 r p2
+295.40 136.24 1.00 1.00 r p2
+283.85 129.47 1.00 1.00 r p2
+278.08 123.80 1.00 1.00 r p2
+276.35 132.11 1.00 1.00 r p2
+292.73 137.96 1.00 1.00 r p2
+274.25 123.87 1.00 1.00 r p2
+296.58 139.92 1.00 1.00 r p2
+282.11 139.75 1.00 1.00 r p2
+293.03 137.22 1.00 1.00 r p2
+292.93 136.38 1.00 1.00 r p2
+274.12 120.98 1.00 1.00 r p2
+284.27 135.97 1.00 1.00 r p2
+291.33 132.04 1.00 1.00 r p2
+303.70 126.57 1.00 1.00 r p2
+301.78 143.77 1.00 1.00 r p2
+288.20 134.98 1.00 1.00 r p2
+289.21 116.92 1.00 1.00 r p2
+299.93 149.12 1.00 1.00 r p2
+295.13 141.09 1.00 1.00 r p2
+272.65 124.23 1.00 1.00 r p2
+285.73 126.96 1.00 1.00 r p2
+292.74 138.97 1.00 1.00 r p2
+282.82 137.38 1.00 1.00 r p2
+283.03 129.73 1.00 1.00 r p2
+314.26 143.48 1.00 1.00 r p2
+286.61 136.37 1.00 1.00 r p2
+287.92 133.47 1.00 1.00 r p2
+285.97 136.76 1.00 1.00 r p2
+289.68 129.95 1.00 1.00 r p2
+298.57 145.64 1.00 1.00 r p2
+289.03 145.57 1.00 1.00 r p2
+296.73 140.42 1.00 1.00 r p2
+292.87 124.37 1.00 1.00 r p2
+299.79 123.11 1.00 1.00 r p2
+282.86 128.61 1.00 1.00 r p2
+285.70 128.12 1.00 1.00 r p2
+281.52 139.46 1.00 1.00 r p2
+286.23 142.84 1.00 1.00 r p2
+289.28 145.07 1.00 1.00 r p2
+286.12 128.00 1.00 1.00 r p2
+282.38 132.02 1.00 1.00 r p2
+287.04 137.10 1.00 1.00 r p2
+288.32 134.89 1.00 1.00 r p2
+289.39 138.11 1.00 1.00 r p2
+292.89 137.17 1.00 1.00 r p2
+275.88 125.90 1.00 1.00 r p2
+294.78 123.32 1.00 1.00 r p2
+287.41 134.78 1.00 1.00 r p2
+279.47 135.04 1.00 1.00 r p2
+302.68 146.97 1.00 1.00 r p2
+280.95 127.46 1.00 1.00 r p2
+300.27 136.71 1.00 1.00 r p2
+292.70 132.02 1.00 1.00 r p2
+292.63 137.47 1.00 1.00 r p2
+297.78 145.17 1.00 1.00 r p2
+285.72 133.37 1.00 1.00 r p2
+296.19 129.09 1.00 1.00 r p2
+290.51 141.73 1.00 1.00 r p2
+293.49 134.52 1.00 1.00 r p2
+299.65 145.76 1.00 1.00 r p2
+291.99 134.42 1.00 1.00 r p2
+294.87 130.86 1.00 1.00 r p2
+291.49 140.81 1.00 1.00 r p2
+288.16 135.19 1.00 1.00 r p2
+309.19 133.21 1.00 1.00 r p2
+295.15 142.33 1.00 1.00 r p2
+291.96 144.42 1.00 1.00 r p2
+284.94 130.25 1.00 1.00 r p2
+285.89 129.56 1.00 1.00 r p2
+281.15 127.10 1.00 1.00 r p2
+288.37 139.55 1.00 1.00 r p2
+300.64 136.69 1.00 1.00 r p2
+287.90 135.05 1.00 1.00 r p2
+288.42 135.40 1.00 1.00 r p2
+285.95 134.99 1.00 1.00 r p2
+286.29 129.79 1.00 1.00 r p2
+287.53 134.74 1.00 1.00 r p2
+289.05 141.25 1.00 1.00 r p2
+289.58 136.33 1.00 1.00 r p2
+284.27 128.95 1.00 1.00 r p2
+300.04 142.91 1.00 1.00 r p2
+298.17 146.04 1.00 1.00 r p2
+294.19 132.33 1.00 1.00 r p2
+286.85 133.01 1.00 1.00 r p2
+281.34 133.96 1.00 1.00 r p2
+282.40 120.94 1.00 1.00 r p2
+282.41 129.40 1.00 1.00 r p2
+283.86 124.41 1.00 1.00 r p2
+295.00 136.55 1.00 1.00 r p2
+292.23 134.46 1.00 1.00 r p2
+299.33 134.47 1.00 1.00 r p2
+290.17 139.27 1.00 1.00 r p2
+281.88 135.12 1.00 1.00 r p2
+289.29 135.03 1.00 1.00 r p2
+279.69 136.77 1.00 1.00 r p2
+287.11 127.72 1.00 1.00 r p2
+285.66 131.88 1.00 1.00 r p2
+292.93 134.01 1.00 1.00 r p2
+285.17 128.10 1.00 1.00 r p2
+282.94 142.78 1.00 1.00 r p2
+299.94 129.76 1.00 1.00 r p2
+286.30 135.05 1.00 1.00 r p2
+297.03 133.55 1.00 1.00 r p2
+280.11 135.61 1.00 1.00 r p2
+277.94 125.25 1.00 1.00 r p2
+274.08 123.37 1.00 1.00 r p2
+294.76 148.85 1.00 1.00 r p2
+274.24 127.37 1.00 1.00 r p2
+288.02 133.50 1.00 1.00 r p2
+282.92 144.33 1.00 1.00 r p2
+288.56 130.89 1.00 1.00 r p2
+287.56 137.96 1.00 1.00 r p2
+286.35 123.97 1.00 1.00 r p2
+297.81 135.76 1.00 1.00 r p2
+285.97 137.47 1.00 1.00 r p2
+293.34 127.47 1.00 1.00 r p2
+283.59 135.40 1.00 1.00 r p2
+296.02 136.61 1.00 1.00 r p2
+310.38 139.86 1.00 1.00 r p2
+288.65 134.75 1.00 1.00 r p2
+304.01 137.35 1.00 1.00 r p2
+290.68 134.04 1.00 1.00 r p2
+293.09 135.61 1.00 1.00 r p2
+298.28 135.06 1.00 1.00 r p2
+279.17 119.37 1.00 1.00 r p2
+289.98 126.58 1.00 1.00 r p2
+275.91 127.88 1.00 1.00 r p2
+287.00 133.10 1.00 1.00 r p2
+301.50 158.39 1.00 1.00 r p2
+291.63 122.93 1.00 1.00 r p2
+292.36 134.17 1.00 1.00 r p2
+281.26 130.11 1.00 1.00 r p2
+286.62 131.21 1.00 1.00 r p2
+311.29 145.34 1.00 1.00 r p2
+303.12 139.83 1.00 1.00 r p2
+291.25 146.08 1.00 1.00 r p2
+285.70 140.58 1.00 1.00 r p2
+291.89 136.41 1.00 1.00 r p2
+295.99 138.57 1.00 1.00 r p2
+289.23 129.22 1.00 1.00 r p2
+291.13 146.24 1.00 1.00 r p2
+286.12 131.48 1.00 1.00 r p2
+281.06 135.54 1.00 1.00 r p2
+291.34 136.30 1.00 1.00 r p2
+299.44 144.50 1.00 1.00 r p2
+279.93 123.70 1.00 1.00 r p2
+296.27 139.05 1.00 1.00 r p2
+305.80 138.52 1.00 1.00 r p2
+307.63 146.66 1.00 1.00 r p2
+277.95 131.04 1.00 1.00 r p2
+281.92 128.31 1.00 1.00 r p2
+290.15 140.77 1.00 1.00 r p2
+281.50 137.75 1.00 1.00 r p2
+287.05 129.49 1.00 1.00 r p2
+278.80 129.07 1.00 1.00 r p2
+304.05 126.60 1.00 1.00 r p2
+290.37 141.61 1.00 1.00 r p2
+284.65 140.22 1.00 1.00 r p2
+289.01 143.06 1.00 1.00 r p2
+292.22 137.93 1.00 1.00 r p2
+307.54 134.54 1.00 1.00 r p2
+287.07 131.82 1.00 1.00 r p2
+301.42 134.55 1.00 1.00 r p2
+301.90 148.75 1.00 1.00 r p2
+282.38 132.67 1.00 1.00 r p2
+281.81 128.98 1.00 1.00 r p2
+275.16 128.33 1.00 1.00 r p2
+302.90 141.82 1.00 1.00 r p2
+287.39 137.17 1.00 1.00 r p2
+284.50 134.92 1.00 1.00 r p2
+295.70 135.75 1.00 1.00 r p2
+297.26 150.51 1.00 1.00 r p2
+288.64 132.42 1.00 1.00 r p2
+289.09 140.07 1.00 1.00 r p2
+291.06 129.79 1.00 1.00 r p2
+289.53 142.82 1.00 1.00 r p2
+281.87 142.35 1.00 1.00 r p2
+283.09 133.92 1.00 1.00 r p2
+304.42 140.23 1.00 1.00 r p2
+295.75 145.82 1.00 1.00 r p2
+302.34 125.66 1.00 1.00 r p2
+288.26 137.60 1.00 1.00 r p2
+279.58 127.51 1.00 1.00 r p2
+284.14 147.04 1.00 1.00 r p2
+292.65 130.30 1.00 1.00 r p2
+291.59 141.14 1.00 1.00 r p2
+283.20 123.45 1.00 1.00 r p2
+278.10 129.89 1.00 1.00 r p2
+294.87 143.76 1.00 1.00 r p2
+281.54 128.14 1.00 1.00 r p2
+306.88 140.70 1.00 1.00 r p2
+287.09 132.08 1.00 1.00 r p2
+292.70 130.78 1.00 1.00 r p2
+289.74 135.56 1.00 1.00 r p2
+304.11 141.65 1.00 1.00 r p2
+309.70 136.82 1.00 1.00 r p2
+286.86 134.72 1.00 1.00 r p2
+284.53 137.75 1.00 1.00 r p2
+280.13 129.83 1.00 1.00 r p2
+298.04 154.19 1.00 1.00 r p2
+284.51 130.32 1.00 1.00 r p2
+294.78 147.83 1.00 1.00 r p2
+285.18 132.12 1.00 1.00 r p2
+292.34 124.63 1.00 1.00 r p2
+282.25 129.13 1.00 1.00 r p2
+299.39 133.35 1.00 1.00 r p2
+305.36 139.38 1.00 1.00 r p2
+289.12 133.11 1.00 1.00 r p2
+293.52 131.15 1.00 1.00 r p2
+292.56 135.84 1.00 1.00 r p2
+296.69 132.75 1.00 1.00 r p2
+297.57 145.88 1.00 1.00 r p2
+281.83 132.29 1.00 1.00 r p2
+284.24 143.50 1.00 1.00 r p2
+279.51 131.27 1.00 1.00 r p2
+279.76 135.35 1.00 1.00 r p2
+281.27 126.34 1.00 1.00 r p2
+272.96 133.58 1.00 1.00 r p2
+292.33 137.95 1.00 1.00 r p2
+285.26 136.54 1.00 1.00 r p2
+297.14 141.73 1.00 1.00 r p2
+287.38 146.52 1.00 1.00 r p2
+291.99 131.08 1.00 1.00 r p2
+283.05 127.06 1.00 1.00 r p2
+291.66 136.28 1.00 1.00 r p2
+290.96 134.73 1.00 1.00 r p2
+293.70 139.25 1.00 1.00 r p2
+292.70 138.53 1.00 1.00 r p2
+282.42 137.77 1.00 1.00 r p2
+281.66 126.66 1.00 1.00 r p2
+292.81 124.89 1.00 1.00 r p2
+290.75 137.49 1.00 1.00 r p2
+288.19 126.87 1.00 1.00 r p2
+282.61 129.80 1.00 1.00 r p2
+288.06 130.21 1.00 1.00 r p2
+294.30 144.19 1.00 1.00 r p2
+304.05 126.49 1.00 1.00 r p2
+288.90 133.07 1.00 1.00 r p2
+297.29 135.34 1.00 1.00 r p2
+286.56 131.02 1.00 1.00 r p2
+288.19 127.71 1.00 1.00 r p2
+275.31 130.15 1.00 1.00 r p2
+294.22 137.94 1.00 1.00 r p2
+286.33 121.52 1.00 1.00 r p2
+280.30 123.41 1.00 1.00 r p2
+286.66 131.79 1.00 1.00 r p2
+286.24 136.36 1.00 1.00 r p2
+292.38 136.73 1.00 1.00 r p2
+284.62 136.20 1.00 1.00 r p2
+284.36 137.26 1.00 1.00 r p2
+286.20 140.37 1.00 1.00 r p2
+288.06 135.85 1.00 1.00 r p2
+281.86 136.19 1.00 1.00 r p2
+281.77 134.48 1.00 1.00 r p2
+298.58 134.34 1.00 1.00 r p2
+288.95 141.61 1.00 1.00 r p2
+282.03 135.42 1.00 1.00 r p2
+284.05 135.48 1.00 1.00 r p2
+297.25 133.33 1.00 1.00 r p2
+285.55 129.03 1.00 1.00 r p2
+287.06 132.66 1.00 1.00 r p2
+295.54 136.03 1.00 1.00 r p2
+280.67 135.43 1.00 1.00 r p2
+293.13 138.19 1.00 1.00 r p2
+287.27 131.93 1.00 1.00 r p2
+292.24 140.15 1.00 1.00 r p2
+287.16 142.65 1.00 1.00 r p2
+291.45 133.09 1.00 1.00 r p2
+292.88 135.23 1.00 1.00 r p2
+295.90 130.91 1.00 1.00 r p2
+287.08 140.15 1.00 1.00 r p2
+288.14 130.34 1.00 1.00 r p2
+288.44 140.32 1.00 1.00 r p2
+282.58 134.30 1.00 1.00 r p2
+287.12 136.29 1.00 1.00 r p2
+288.98 130.94 1.00 1.00 r p2
+289.58 131.51 1.00 1.00 r p2
+286.70 128.16 1.00 1.00 r p2
+282.85 127.42 1.00 1.00 r p2
+298.45 140.33 1.00 1.00 r p2
+292.72 130.73 1.00 1.00 r p2
+281.54 126.78 1.00 1.00 r p2
+285.92 133.83 1.00 1.00 r p2
+287.95 127.95 1.00 1.00 r p2
+285.76 135.76 1.00 1.00 r p2
+284.85 137.66 1.00 1.00 r p2
+285.45 135.48 1.00 1.00 r p2
+294.19 141.82 1.00 1.00 r p2
+288.82 127.48 1.00 1.00 r p2
+278.63 121.95 1.00 1.00 r p2
+289.55 133.73 1.00 1.00 r p2
+294.14 132.32 1.00 1.00 r p2
+285.05 143.09 1.00 1.00 r p2
+289.46 139.95 1.00 1.00 r p2
+297.09 140.03 1.00 1.00 r p2
+296.36 138.60 1.00 1.00 r p2
+285.28 125.51 1.00 1.00 r p2
+295.63 142.47 1.00 1.00 r p2
+295.99 137.45 1.00 1.00 r p2
+295.89 150.24 1.00 1.00 r p2
+292.68 134.75 1.00 1.00 r p2
+289.74 133.90 1.00 1.00 r p2
+293.02 135.16 1.00 1.00 r p2
+282.94 129.65 1.00 1.00 r p2
+274.36 129.60 1.00 1.00 r p2
+279.45 128.39 1.00 1.00 r p2
+295.29 128.33 1.00 1.00 r p2
+294.50 131.74 1.00 1.00 r p2
+300.38 142.69 1.00 1.00 r p2
+300.34 137.40 1.00 1.00 r p2
+298.29 138.24 1.00 1.00 r p2
+-384.94 -261.64 1226.83 856.91 cl
+ep
+%%Page: 17 17
+bp
+-384.94 -261.64 1226.83 856.91 cl
+/ps 18 def /Font1 findfont 18 s
+0 setgray
+420.94 514.89 (1988 Mexican Presidential Election) .5 0 0 t
+/bg { 1 setgray } def
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+ 197.23 73.93 m
+223.71 387.48 l
+223.72 -387.48 l
+cp p3
+/ps 12 def /Font1 findfont 12 s
+197.23 60.67 (Pr\(Y=1\)) .5 0 0 t
+644.66 60.67 (Pr\(Y=2\)) .5 0 0 t
+420.94 466.05 (Pr\(Y=3\)) .5 0 0 t
+0.7451 setgray
+0.75 setlinewidth
+[ 0.00 4.00] 0 setdash
+np
+555.17 73.93 m
+-178.97 309.98 l
+o
+np
+555.17 73.93 m
+44.74 77.49 l
+o
+np
+241.98 151.42 m
+357.93 0 l
+o
+0.6627 setgray
+464.94 231.07 (0.2) .5 0 120.00 t
+578.29 110.36 (0.8) .5 0 -120.00 t
+420.94 151.59 (0.2) .5 0 0 t
+0.7451 setgray
+np
+465.69 73.93 m
+-134.23 232.48 l
+o
+np
+465.69 73.93 m
+89.48 154.99 l
+o
+np
+286.72 228.92 m
+268.45 0 l
+o
+0.6627 setgray
+397.83 192.32 (0.4) .5 0 120.00 t
+511.17 149.10 (0.6) .5 0 -120.00 t
+420.94 229.08 (0.4) .5 0 0 t
+0.7451 setgray
+np
+376.20 73.93 m
+-89.48 154.99 l
+o
+np
+376.20 73.93 m
+134.23 232.48 l
+o
+np
+331.46 306.41 m
+178.97 0 l
+o
+0.6627 setgray
+330.72 153.58 (0.6) .5 0 120.00 t
+444.06 187.85 (0.4) .5 0 -120.00 t
+420.94 306.58 (0.6) .5 0 0 t
+0.7451 setgray
+np
+286.72 73.93 m
+-44.74 77.49 l
+o
+np
+286.72 73.93 m
+178.97 309.98 l
+o
+np
+376.20 383.91 m
+89.49 0 l
+o
+0.6627 setgray
+263.60 114.83 (0.8) .5 0 120.00 t
+376.95 226.60 (0.2) .5 0 -120.00 t
+420.94 384.08 (0.8) .5 0 0 t
+/bg { 0 0 1 rgb } def
+284.51 128.12 1.00 1.00 r p2
+285.49 131.13 1.00 1.00 r p2
+284.60 126.80 1.00 1.00 r p2
+292.03 127.04 1.00 1.00 r p2
+289.55 127.52 1.00 1.00 r p2
+286.43 131.96 1.00 1.00 r p2
+299.19 133.79 1.00 1.00 r p2
+290.10 134.22 1.00 1.00 r p2
+291.84 131.34 1.00 1.00 r p2
+288.58 125.81 1.00 1.00 r p2
+291.98 129.02 1.00 1.00 r p2
+281.54 123.61 1.00 1.00 r p2
+296.11 132.98 1.00 1.00 r p2
+288.89 125.21 1.00 1.00 r p2
+300.97 140.14 1.00 1.00 r p2
+283.06 131.61 1.00 1.00 r p2
+295.53 133.10 1.00 1.00 r p2
+283.21 130.96 1.00 1.00 r p2
+288.25 133.96 1.00 1.00 r p2
+293.80 133.27 1.00 1.00 r p2
+292.59 132.52 1.00 1.00 r p2
+291.67 126.55 1.00 1.00 r p2
+293.32 131.54 1.00 1.00 r p2
+290.77 130.59 1.00 1.00 r p2
+293.15 134.58 1.00 1.00 r p2
+287.98 129.47 1.00 1.00 r p2
+312.69 144.31 1.00 1.00 r p2
+287.73 131.02 1.00 1.00 r p2
+286.85 133.70 1.00 1.00 r p2
+280.53 123.24 1.00 1.00 r p2
+295.90 134.40 1.00 1.00 r p2
+282.75 127.09 1.00 1.00 r p2
+294.17 138.88 1.00 1.00 r p2
+287.92 130.82 1.00 1.00 r p2
+298.94 135.16 1.00 1.00 r p2
+284.04 127.39 1.00 1.00 r p2
+295.89 134.01 1.00 1.00 r p2
+279.22 125.40 1.00 1.00 r p2
+296.24 132.46 1.00 1.00 r p2
+296.34 136.67 1.00 1.00 r p2
+290.67 126.93 1.00 1.00 r p2
+294.83 135.45 1.00 1.00 r p2
+282.92 125.97 1.00 1.00 r p2
+304.74 140.26 1.00 1.00 r p2
+300.97 140.96 1.00 1.00 r p2
+294.15 134.08 1.00 1.00 r p2
+286.72 130.75 1.00 1.00 r p2
+302.40 141.06 1.00 1.00 r p2
+284.90 129.82 1.00 1.00 r p2
+278.79 124.02 1.00 1.00 r p2
+293.18 133.33 1.00 1.00 r p2
+293.48 132.80 1.00 1.00 r p2
+306.35 138.60 1.00 1.00 r p2
+282.56 129.13 1.00 1.00 r p2
+290.33 133.33 1.00 1.00 r p2
+290.99 132.31 1.00 1.00 r p2
+298.29 143.24 1.00 1.00 r p2
+292.06 136.60 1.00 1.00 r p2
+295.94 134.20 1.00 1.00 r p2
+296.22 138.57 1.00 1.00 r p2
+298.27 130.15 1.00 1.00 r p2
+288.93 131.34 1.00 1.00 r p2
+303.10 136.64 1.00 1.00 r p2
+298.44 135.73 1.00 1.00 r p2
+285.75 127.36 1.00 1.00 r p2
+282.13 127.92 1.00 1.00 r p2
+282.88 126.73 1.00 1.00 r p2
+283.26 126.06 1.00 1.00 r p2
+284.37 133.14 1.00 1.00 r p2
+295.42 134.94 1.00 1.00 r p2
+296.38 134.95 1.00 1.00 r p2
+290.03 131.03 1.00 1.00 r p2
+283.80 126.76 1.00 1.00 r p2
+299.45 139.15 1.00 1.00 r p2
+294.10 140.97 1.00 1.00 r p2
+292.07 135.46 1.00 1.00 r p2
+289.61 133.07 1.00 1.00 r p2
+277.21 126.98 1.00 1.00 r p2
+292.83 132.89 1.00 1.00 r p2
+306.72 144.94 1.00 1.00 r p2
+286.93 127.29 1.00 1.00 r p2
+298.29 136.99 1.00 1.00 r p2
+289.22 137.16 1.00 1.00 r p2
+293.32 132.55 1.00 1.00 r p2
+294.01 135.80 1.00 1.00 r p2
+277.82 126.53 1.00 1.00 r p2
+284.91 134.18 1.00 1.00 r p2
+284.44 128.45 1.00 1.00 r p2
+294.96 125.57 1.00 1.00 r p2
+285.21 128.31 1.00 1.00 r p2
+291.11 135.02 1.00 1.00 r p2
+300.62 138.89 1.00 1.00 r p2
+290.74 127.28 1.00 1.00 r p2
+305.19 137.24 1.00 1.00 r p2
+289.56 128.09 1.00 1.00 r p2
+293.86 135.16 1.00 1.00 r p2
+282.30 124.55 1.00 1.00 r p2
+291.59 131.20 1.00 1.00 r p2
+294.87 132.11 1.00 1.00 r p2
+288.43 128.57 1.00 1.00 r p2
+295.53 134.59 1.00 1.00 r p2
+294.32 133.12 1.00 1.00 r p2
+289.23 134.85 1.00 1.00 r p2
+290.73 131.46 1.00 1.00 r p2
+301.46 140.36 1.00 1.00 r p2
+297.62 136.43 1.00 1.00 r p2
+302.81 141.88 1.00 1.00 r p2
+283.16 125.24 1.00 1.00 r p2
+290.15 127.30 1.00 1.00 r p2
+289.49 134.09 1.00 1.00 r p2
+300.83 139.03 1.00 1.00 r p2
+301.86 137.23 1.00 1.00 r p2
+283.68 126.15 1.00 1.00 r p2
+284.70 123.90 1.00 1.00 r p2
+294.83 136.53 1.00 1.00 r p2
+300.19 136.62 1.00 1.00 r p2
+292.28 134.24 1.00 1.00 r p2
+290.77 130.87 1.00 1.00 r p2
+288.38 132.32 1.00 1.00 r p2
+285.51 130.77 1.00 1.00 r p2
+295.52 133.17 1.00 1.00 r p2
+295.92 137.27 1.00 1.00 r p2
+291.42 130.49 1.00 1.00 r p2
+284.82 130.54 1.00 1.00 r p2
+297.58 127.48 1.00 1.00 r p2
+285.34 130.20 1.00 1.00 r p2
+294.29 133.24 1.00 1.00 r p2
+280.76 127.70 1.00 1.00 r p2
+302.21 147.05 1.00 1.00 r p2
+292.04 131.47 1.00 1.00 r p2
+298.65 136.47 1.00 1.00 r p2
+297.30 128.82 1.00 1.00 r p2
+294.71 130.10 1.00 1.00 r p2
+283.20 128.24 1.00 1.00 r p2
+289.72 132.11 1.00 1.00 r p2
+289.02 133.27 1.00 1.00 r p2
+300.58 138.12 1.00 1.00 r p2
+285.35 127.24 1.00 1.00 r p2
+296.15 137.10 1.00 1.00 r p2
+286.60 132.09 1.00 1.00 r p2
+304.69 138.76 1.00 1.00 r p2
+294.58 132.28 1.00 1.00 r p2
+287.72 132.26 1.00 1.00 r p2
+294.38 134.24 1.00 1.00 r p2
+291.83 126.58 1.00 1.00 r p2
+289.01 131.83 1.00 1.00 r p2
+286.13 133.87 1.00 1.00 r p2
+287.02 130.87 1.00 1.00 r p2
+279.66 126.13 1.00 1.00 r p2
+289.91 126.30 1.00 1.00 r p2
+294.09 135.94 1.00 1.00 r p2
+301.85 143.10 1.00 1.00 r p2
+286.46 132.17 1.00 1.00 r p2
+291.17 134.09 1.00 1.00 r p2
+298.31 140.30 1.00 1.00 r p2
+286.35 126.67 1.00 1.00 r p2
+288.81 126.58 1.00 1.00 r p2
+293.66 130.54 1.00 1.00 r p2
+289.60 129.98 1.00 1.00 r p2
+290.18 132.51 1.00 1.00 r p2
+292.49 134.09 1.00 1.00 r p2
+292.40 134.38 1.00 1.00 r p2
+291.13 131.45 1.00 1.00 r p2
+285.16 123.02 1.00 1.00 r p2
+301.08 134.51 1.00 1.00 r p2
+295.41 135.25 1.00 1.00 r p2
+282.19 120.92 1.00 1.00 r p2
+290.95 132.47 1.00 1.00 r p2
+289.33 128.75 1.00 1.00 r p2
+285.45 129.73 1.00 1.00 r p2
+298.48 137.06 1.00 1.00 r p2
+284.79 124.38 1.00 1.00 r p2
+300.99 135.76 1.00 1.00 r p2
+306.02 145.86 1.00 1.00 r p2
+286.73 128.86 1.00 1.00 r p2
+287.58 131.79 1.00 1.00 r p2
+292.89 130.73 1.00 1.00 r p2
+289.21 131.09 1.00 1.00 r p2
+278.95 122.88 1.00 1.00 r p2
+285.62 129.51 1.00 1.00 r p2
+290.27 132.84 1.00 1.00 r p2
+280.84 133.07 1.00 1.00 r p2
+302.77 134.18 1.00 1.00 r p2
+294.80 141.09 1.00 1.00 r p2
+288.87 129.54 1.00 1.00 r p2
+304.82 139.53 1.00 1.00 r p2
+283.13 125.42 1.00 1.00 r p2
+293.59 133.13 1.00 1.00 r p2
+277.91 124.29 1.00 1.00 r p2
+289.42 130.75 1.00 1.00 r p2
+293.98 135.48 1.00 1.00 r p2
+281.64 126.37 1.00 1.00 r p2
+290.48 129.42 1.00 1.00 r p2
+303.92 142.67 1.00 1.00 r p2
+285.79 132.58 1.00 1.00 r p2
+288.21 135.57 1.00 1.00 r p2
+297.81 141.66 1.00 1.00 r p2
+292.23 133.79 1.00 1.00 r p2
+285.80 132.54 1.00 1.00 r p2
+291.40 138.21 1.00 1.00 r p2
+286.88 128.54 1.00 1.00 r p2
+297.19 142.11 1.00 1.00 r p2
+304.46 136.43 1.00 1.00 r p2
+295.67 133.85 1.00 1.00 r p2
+291.71 129.40 1.00 1.00 r p2
+291.94 129.04 1.00 1.00 r p2
+296.35 132.74 1.00 1.00 r p2
+294.73 132.11 1.00 1.00 r p2
+296.97 133.80 1.00 1.00 r p2
+297.69 133.91 1.00 1.00 r p2
+304.38 141.26 1.00 1.00 r p2
+280.69 124.46 1.00 1.00 r p2
+290.96 129.89 1.00 1.00 r p2
+284.34 125.72 1.00 1.00 r p2
+301.80 137.35 1.00 1.00 r p2
+293.18 134.48 1.00 1.00 r p2
+281.28 126.29 1.00 1.00 r p2
+289.71 132.53 1.00 1.00 r p2
+277.36 129.04 1.00 1.00 r p2
+292.99 133.47 1.00 1.00 r p2
+289.95 134.41 1.00 1.00 r p2
+281.03 128.15 1.00 1.00 r p2
+289.64 125.57 1.00 1.00 r p2
+290.96 130.36 1.00 1.00 r p2
+281.17 128.66 1.00 1.00 r p2
+296.16 130.77 1.00 1.00 r p2
+288.09 130.84 1.00 1.00 r p2
+287.41 136.02 1.00 1.00 r p2
+283.00 128.14 1.00 1.00 r p2
+298.09 140.55 1.00 1.00 r p2
+290.28 130.85 1.00 1.00 r p2
+294.96 133.04 1.00 1.00 r p2
+297.46 128.13 1.00 1.00 r p2
+289.47 129.57 1.00 1.00 r p2
+300.35 137.98 1.00 1.00 r p2
+306.11 143.44 1.00 1.00 r p2
+290.77 132.55 1.00 1.00 r p2
+291.16 133.57 1.00 1.00 r p2
+301.63 141.54 1.00 1.00 r p2
+291.60 131.83 1.00 1.00 r p2
+288.70 131.47 1.00 1.00 r p2
+290.56 128.79 1.00 1.00 r p2
+298.92 133.36 1.00 1.00 r p2
+287.60 130.38 1.00 1.00 r p2
+295.98 137.92 1.00 1.00 r p2
+300.13 132.52 1.00 1.00 r p2
+297.35 128.27 1.00 1.00 r p2
+288.82 127.04 1.00 1.00 r p2
+283.41 128.54 1.00 1.00 r p2
+283.11 127.27 1.00 1.00 r p2
+300.28 137.95 1.00 1.00 r p2
+282.68 124.97 1.00 1.00 r p2
+280.99 126.70 1.00 1.00 r p2
+293.63 138.53 1.00 1.00 r p2
+298.92 136.54 1.00 1.00 r p2
+284.03 125.88 1.00 1.00 r p2
+290.27 130.26 1.00 1.00 r p2
+286.74 130.94 1.00 1.00 r p2
+294.66 131.42 1.00 1.00 r p2
+290.38 129.97 1.00 1.00 r p2
+294.70 130.25 1.00 1.00 r p2
+274.85 121.62 1.00 1.00 r p2
+295.35 131.51 1.00 1.00 r p2
+282.99 124.63 1.00 1.00 r p2
+282.64 125.36 1.00 1.00 r p2
+286.24 125.41 1.00 1.00 r p2
+284.35 126.53 1.00 1.00 r p2
+293.17 135.24 1.00 1.00 r p2
+300.76 133.63 1.00 1.00 r p2
+289.62 128.05 1.00 1.00 r p2
+300.61 136.26 1.00 1.00 r p2
+295.04 131.90 1.00 1.00 r p2
+290.49 130.91 1.00 1.00 r p2
+282.60 129.07 1.00 1.00 r p2
+288.19 126.63 1.00 1.00 r p2
+285.63 130.24 1.00 1.00 r p2
+291.16 127.34 1.00 1.00 r p2
+293.62 131.24 1.00 1.00 r p2
+295.12 134.76 1.00 1.00 r p2
+294.54 134.97 1.00 1.00 r p2
+285.05 131.07 1.00 1.00 r p2
+287.06 128.25 1.00 1.00 r p2
+288.63 136.80 1.00 1.00 r p2
+288.36 129.72 1.00 1.00 r p2
+291.94 133.15 1.00 1.00 r p2
+291.68 131.24 1.00 1.00 r p2
+290.41 132.14 1.00 1.00 r p2
+288.95 126.47 1.00 1.00 r p2
+294.19 137.72 1.00 1.00 r p2
+287.45 127.70 1.00 1.00 r p2
+294.16 129.85 1.00 1.00 r p2
+293.51 136.77 1.00 1.00 r p2
+292.20 128.94 1.00 1.00 r p2
+291.67 128.16 1.00 1.00 r p2
+282.43 125.85 1.00 1.00 r p2
+281.65 123.18 1.00 1.00 r p2
+293.00 134.66 1.00 1.00 r p2
+285.39 131.39 1.00 1.00 r p2
+292.35 136.65 1.00 1.00 r p2
+290.97 135.61 1.00 1.00 r p2
+293.24 134.55 1.00 1.00 r p2
+291.30 131.42 1.00 1.00 r p2
+301.83 141.34 1.00 1.00 r p2
+283.70 124.41 1.00 1.00 r p2
+279.73 125.01 1.00 1.00 r p2
+286.59 125.43 1.00 1.00 r p2
+290.00 129.97 1.00 1.00 r p2
+296.21 136.51 1.00 1.00 r p2
+298.60 131.41 1.00 1.00 r p2
+293.96 127.47 1.00 1.00 r p2
+293.44 134.23 1.00 1.00 r p2
+290.34 128.49 1.00 1.00 r p2
+287.40 125.97 1.00 1.00 r p2
+294.10 137.18 1.00 1.00 r p2
+293.73 134.70 1.00 1.00 r p2
+292.23 130.14 1.00 1.00 r p2
+281.70 126.81 1.00 1.00 r p2
+281.68 124.91 1.00 1.00 r p2
+284.04 131.59 1.00 1.00 r p2
+286.34 128.40 1.00 1.00 r p2
+294.66 137.38 1.00 1.00 r p2
+285.11 128.11 1.00 1.00 r p2
+289.50 128.40 1.00 1.00 r p2
+296.75 131.11 1.00 1.00 r p2
+298.83 137.08 1.00 1.00 r p2
+300.35 132.01 1.00 1.00 r p2
+282.75 125.12 1.00 1.00 r p2
+307.00 141.98 1.00 1.00 r p2
+291.10 132.58 1.00 1.00 r p2
+306.43 137.26 1.00 1.00 r p2
+281.61 126.09 1.00 1.00 r p2
+305.37 135.72 1.00 1.00 r p2
+298.65 136.59 1.00 1.00 r p2
+283.36 126.97 1.00 1.00 r p2
+283.29 130.14 1.00 1.00 r p2
+282.38 124.81 1.00 1.00 r p2
+298.20 136.36 1.00 1.00 r p2
+299.42 135.37 1.00 1.00 r p2
+283.78 130.96 1.00 1.00 r p2
+288.35 131.45 1.00 1.00 r p2
+292.71 132.34 1.00 1.00 r p2
+295.94 138.47 1.00 1.00 r p2
+292.18 133.96 1.00 1.00 r p2
+303.14 137.90 1.00 1.00 r p2
+289.42 131.61 1.00 1.00 r p2
+287.87 127.05 1.00 1.00 r p2
+289.38 130.99 1.00 1.00 r p2
+293.30 139.12 1.00 1.00 r p2
+289.26 129.10 1.00 1.00 r p2
+285.66 129.31 1.00 1.00 r p2
+284.42 131.58 1.00 1.00 r p2
+290.50 128.62 1.00 1.00 r p2
+291.01 128.19 1.00 1.00 r p2
+285.88 126.80 1.00 1.00 r p2
+292.41 135.57 1.00 1.00 r p2
+295.27 131.80 1.00 1.00 r p2
+283.59 125.35 1.00 1.00 r p2
+305.93 136.19 1.00 1.00 r p2
+280.93 124.80 1.00 1.00 r p2
+304.89 140.63 1.00 1.00 r p2
+286.62 125.44 1.00 1.00 r p2
+299.61 137.96 1.00 1.00 r p2
+296.32 134.65 1.00 1.00 r p2
+284.53 128.45 1.00 1.00 r p2
+306.05 143.00 1.00 1.00 r p2
+288.91 131.26 1.00 1.00 r p2
+290.53 127.72 1.00 1.00 r p2
+295.54 134.23 1.00 1.00 r p2
+289.07 133.88 1.00 1.00 r p2
+283.63 129.76 1.00 1.00 r p2
+295.12 135.44 1.00 1.00 r p2
+289.03 132.52 1.00 1.00 r p2
+291.25 130.82 1.00 1.00 r p2
+289.99 127.46 1.00 1.00 r p2
+300.63 135.69 1.00 1.00 r p2
+286.39 125.56 1.00 1.00 r p2
+283.66 131.44 1.00 1.00 r p2
+289.91 129.92 1.00 1.00 r p2
+280.10 126.41 1.00 1.00 r p2
+295.12 135.19 1.00 1.00 r p2
+289.99 131.29 1.00 1.00 r p2
+297.83 139.20 1.00 1.00 r p2
+296.83 129.55 1.00 1.00 r p2
+290.36 132.97 1.00 1.00 r p2
+286.98 128.05 1.00 1.00 r p2
+296.96 131.04 1.00 1.00 r p2
+287.93 130.24 1.00 1.00 r p2
+299.98 138.66 1.00 1.00 r p2
+288.63 127.95 1.00 1.00 r p2
+284.87 129.34 1.00 1.00 r p2
+290.06 136.21 1.00 1.00 r p2
+284.61 128.03 1.00 1.00 r p2
+295.01 135.53 1.00 1.00 r p2
+293.46 130.86 1.00 1.00 r p2
+298.73 129.20 1.00 1.00 r p2
+309.91 143.73 1.00 1.00 r p2
+294.19 131.42 1.00 1.00 r p2
+294.07 129.38 1.00 1.00 r p2
+295.96 127.32 1.00 1.00 r p2
+298.25 134.77 1.00 1.00 r p2
+287.46 133.97 1.00 1.00 r p2
+292.28 134.10 1.00 1.00 r p2
+287.49 128.07 1.00 1.00 r p2
+294.70 138.71 1.00 1.00 r p2
+290.24 128.43 1.00 1.00 r p2
+296.06 138.43 1.00 1.00 r p2
+287.22 127.79 1.00 1.00 r p2
+283.22 125.15 1.00 1.00 r p2
+292.30 135.44 1.00 1.00 r p2
+297.01 135.55 1.00 1.00 r p2
+289.81 131.86 1.00 1.00 r p2
+289.31 125.39 1.00 1.00 r p2
+289.18 127.42 1.00 1.00 r p2
+280.27 124.00 1.00 1.00 r p2
+299.48 143.49 1.00 1.00 r p2
+282.14 129.95 1.00 1.00 r p2
+291.34 133.41 1.00 1.00 r p2
+291.56 133.48 1.00 1.00 r p2
+294.35 138.33 1.00 1.00 r p2
+298.54 136.66 1.00 1.00 r p2
+299.24 142.87 1.00 1.00 r p2
+285.10 130.52 1.00 1.00 r p2
+298.60 137.47 1.00 1.00 r p2
+304.47 136.29 1.00 1.00 r p2
+277.68 121.08 1.00 1.00 r p2
+297.33 137.90 1.00 1.00 r p2
+292.24 136.36 1.00 1.00 r p2
+279.16 124.46 1.00 1.00 r p2
+294.82 138.20 1.00 1.00 r p2
+288.23 129.70 1.00 1.00 r p2
+302.48 142.85 1.00 1.00 r p2
+294.79 135.37 1.00 1.00 r p2
+294.13 134.06 1.00 1.00 r p2
+278.00 124.82 1.00 1.00 r p2
+293.70 133.96 1.00 1.00 r p2
+292.74 132.58 1.00 1.00 r p2
+287.07 128.64 1.00 1.00 r p2
+285.00 125.08 1.00 1.00 r p2
+281.95 131.74 1.00 1.00 r p2
+307.86 141.16 1.00 1.00 r p2
+289.22 131.00 1.00 1.00 r p2
+285.85 125.39 1.00 1.00 r p2
+284.73 127.08 1.00 1.00 r p2
+290.49 132.85 1.00 1.00 r p2
+296.80 136.07 1.00 1.00 r p2
+297.16 140.15 1.00 1.00 r p2
+296.09 141.53 1.00 1.00 r p2
+301.84 136.86 1.00 1.00 r p2
+281.73 125.58 1.00 1.00 r p2
+286.89 130.52 1.00 1.00 r p2
+287.15 127.82 1.00 1.00 r p2
+291.53 132.88 1.00 1.00 r p2
+283.78 126.09 1.00 1.00 r p2
+302.22 142.77 1.00 1.00 r p2
+286.52 126.85 1.00 1.00 r p2
+282.40 130.58 1.00 1.00 r p2
+291.32 131.33 1.00 1.00 r p2
+284.31 127.39 1.00 1.00 r p2
+288.77 132.24 1.00 1.00 r p2
+279.20 127.12 1.00 1.00 r p2
+282.06 124.53 1.00 1.00 r p2
+292.71 132.29 1.00 1.00 r p2
+291.19 130.47 1.00 1.00 r p2
+286.95 128.54 1.00 1.00 r p2
+297.29 131.33 1.00 1.00 r p2
+304.23 133.92 1.00 1.00 r p2
+293.44 133.99 1.00 1.00 r p2
+283.66 122.03 1.00 1.00 r p2
+289.97 129.82 1.00 1.00 r p2
+304.45 140.20 1.00 1.00 r p2
+283.78 127.42 1.00 1.00 r p2
+286.12 134.12 1.00 1.00 r p2
+298.48 141.09 1.00 1.00 r p2
+287.49 128.62 1.00 1.00 r p2
+295.37 136.53 1.00 1.00 r p2
+294.65 131.23 1.00 1.00 r p2
+308.34 143.13 1.00 1.00 r p2
+291.88 132.62 1.00 1.00 r p2
+274.82 123.31 1.00 1.00 r p2
+288.39 130.68 1.00 1.00 r p2
+290.07 133.05 1.00 1.00 r p2
+293.14 135.02 1.00 1.00 r p2
+288.47 133.86 1.00 1.00 r p2
+293.90 134.38 1.00 1.00 r p2
+294.08 129.05 1.00 1.00 r p2
+293.38 133.77 1.00 1.00 r p2
+279.44 124.58 1.00 1.00 r p2
+280.64 129.59 1.00 1.00 r p2
+292.05 131.31 1.00 1.00 r p2
+288.85 130.49 1.00 1.00 r p2
+289.06 131.94 1.00 1.00 r p2
+297.36 137.24 1.00 1.00 r p2
+295.84 134.42 1.00 1.00 r p2
+291.21 134.34 1.00 1.00 r p2
+285.42 130.27 1.00 1.00 r p2
+294.61 137.50 1.00 1.00 r p2
+286.53 128.40 1.00 1.00 r p2
+292.75 133.22 1.00 1.00 r p2
+297.16 132.06 1.00 1.00 r p2
+297.92 130.20 1.00 1.00 r p2
+290.75 133.96 1.00 1.00 r p2
+284.43 126.26 1.00 1.00 r p2
+288.16 131.52 1.00 1.00 r p2
+288.52 123.69 1.00 1.00 r p2
+284.80 126.67 1.00 1.00 r p2
+288.58 134.83 1.00 1.00 r p2
+290.45 132.83 1.00 1.00 r p2
+301.30 136.45 1.00 1.00 r p2
+308.41 141.63 1.00 1.00 r p2
+295.24 140.64 1.00 1.00 r p2
+293.75 128.14 1.00 1.00 r p2
+294.74 133.74 1.00 1.00 r p2
+289.65 128.45 1.00 1.00 r p2
+305.84 137.56 1.00 1.00 r p2
+283.98 132.05 1.00 1.00 r p2
+284.69 127.16 1.00 1.00 r p2
+294.23 128.52 1.00 1.00 r p2
+305.59 137.70 1.00 1.00 r p2
+295.56 135.41 1.00 1.00 r p2
+295.79 131.76 1.00 1.00 r p2
+278.06 125.86 1.00 1.00 r p2
+280.82 124.90 1.00 1.00 r p2
+289.79 129.95 1.00 1.00 r p2
+289.52 133.90 1.00 1.00 r p2
+291.10 127.18 1.00 1.00 r p2
+295.58 133.63 1.00 1.00 r p2
+289.37 130.61 1.00 1.00 r p2
+297.12 130.73 1.00 1.00 r p2
+279.35 123.48 1.00 1.00 r p2
+289.18 130.06 1.00 1.00 r p2
+287.63 132.87 1.00 1.00 r p2
+287.94 131.88 1.00 1.00 r p2
+301.74 137.52 1.00 1.00 r p2
+299.34 136.62 1.00 1.00 r p2
+299.96 141.82 1.00 1.00 r p2
+287.35 128.35 1.00 1.00 r p2
+293.21 133.62 1.00 1.00 r p2
+295.80 133.93 1.00 1.00 r p2
+286.14 129.77 1.00 1.00 r p2
+287.68 130.05 1.00 1.00 r p2
+290.22 133.71 1.00 1.00 r p2
+288.28 138.39 1.00 1.00 r p2
+287.59 131.19 1.00 1.00 r p2
+288.55 133.21 1.00 1.00 r p2
+282.75 120.59 1.00 1.00 r p2
+289.59 131.29 1.00 1.00 r p2
+289.86 130.54 1.00 1.00 r p2
+287.36 125.04 1.00 1.00 r p2
+272.54 118.47 1.00 1.00 r p2
+290.74 138.61 1.00 1.00 r p2
+292.30 140.59 1.00 1.00 r p2
+284.70 128.18 1.00 1.00 r p2
+282.22 124.94 1.00 1.00 r p2
+283.74 125.18 1.00 1.00 r p2
+298.81 137.66 1.00 1.00 r p2
+292.35 133.24 1.00 1.00 r p2
+291.46 130.91 1.00 1.00 r p2
+296.73 128.16 1.00 1.00 r p2
+284.92 126.29 1.00 1.00 r p2
+294.86 136.08 1.00 1.00 r p2
+290.11 135.42 1.00 1.00 r p2
+283.21 125.45 1.00 1.00 r p2
+286.27 131.85 1.00 1.00 r p2
+285.58 129.94 1.00 1.00 r p2
+274.88 124.12 1.00 1.00 r p2
+283.11 130.14 1.00 1.00 r p2
+294.85 130.15 1.00 1.00 r p2
+296.58 132.26 1.00 1.00 r p2
+271.78 120.53 1.00 1.00 r p2
+290.49 128.61 1.00 1.00 r p2
+281.12 130.55 1.00 1.00 r p2
+291.52 131.67 1.00 1.00 r p2
+296.82 131.82 1.00 1.00 r p2
+290.26 129.15 1.00 1.00 r p2
+291.74 127.34 1.00 1.00 r p2
+295.38 132.19 1.00 1.00 r p2
+296.68 137.53 1.00 1.00 r p2
+291.87 126.62 1.00 1.00 r p2
+288.96 131.62 1.00 1.00 r p2
+291.53 127.39 1.00 1.00 r p2
+293.26 138.06 1.00 1.00 r p2
+292.78 135.90 1.00 1.00 r p2
+295.73 130.91 1.00 1.00 r p2
+306.62 139.83 1.00 1.00 r p2
+287.32 131.00 1.00 1.00 r p2
+305.34 132.66 1.00 1.00 r p2
+294.64 134.69 1.00 1.00 r p2
+288.80 130.58 1.00 1.00 r p2
+292.76 134.00 1.00 1.00 r p2
+286.49 125.80 1.00 1.00 r p2
+294.39 133.71 1.00 1.00 r p2
+293.44 133.66 1.00 1.00 r p2
+281.88 123.41 1.00 1.00 r p2
+291.65 135.23 1.00 1.00 r p2
+304.66 141.87 1.00 1.00 r p2
+293.99 128.76 1.00 1.00 r p2
+307.95 137.87 1.00 1.00 r p2
+280.50 123.66 1.00 1.00 r p2
+287.34 131.27 1.00 1.00 r p2
+287.38 128.33 1.00 1.00 r p2
+295.06 136.67 1.00 1.00 r p2
+285.01 127.24 1.00 1.00 r p2
+297.51 133.31 1.00 1.00 r p2
+297.26 138.57 1.00 1.00 r p2
+285.25 127.00 1.00 1.00 r p2
+286.00 129.74 1.00 1.00 r p2
+298.76 139.56 1.00 1.00 r p2
+301.09 137.75 1.00 1.00 r p2
+291.96 134.27 1.00 1.00 r p2
+293.97 129.36 1.00 1.00 r p2
+292.42 135.42 1.00 1.00 r p2
+294.95 132.26 1.00 1.00 r p2
+280.51 122.96 1.00 1.00 r p2
+284.79 126.96 1.00 1.00 r p2
+295.26 137.13 1.00 1.00 r p2
+284.31 124.85 1.00 1.00 r p2
+296.54 138.50 1.00 1.00 r p2
+284.82 132.72 1.00 1.00 r p2
+290.84 136.00 1.00 1.00 r p2
+288.85 133.67 1.00 1.00 r p2
+297.44 131.78 1.00 1.00 r p2
+292.66 129.30 1.00 1.00 r p2
+288.45 128.53 1.00 1.00 r p2
+295.35 133.87 1.00 1.00 r p2
+291.51 131.60 1.00 1.00 r p2
+284.85 129.47 1.00 1.00 r p2
+301.73 138.74 1.00 1.00 r p2
+282.70 135.65 1.00 1.00 r p2
+298.93 138.69 1.00 1.00 r p2
+300.14 137.51 1.00 1.00 r p2
+288.67 136.16 1.00 1.00 r p2
+278.70 124.38 1.00 1.00 r p2
+286.77 128.79 1.00 1.00 r p2
+296.08 135.98 1.00 1.00 r p2
+294.02 133.19 1.00 1.00 r p2
+284.85 131.74 1.00 1.00 r p2
+276.29 121.45 1.00 1.00 r p2
+276.43 122.41 1.00 1.00 r p2
+288.16 135.37 1.00 1.00 r p2
+287.32 132.30 1.00 1.00 r p2
+295.19 133.11 1.00 1.00 r p2
+293.64 129.61 1.00 1.00 r p2
+291.36 133.28 1.00 1.00 r p2
+294.67 132.56 1.00 1.00 r p2
+304.68 136.44 1.00 1.00 r p2
+283.41 126.88 1.00 1.00 r p2
+294.42 136.92 1.00 1.00 r p2
+291.53 134.63 1.00 1.00 r p2
+293.29 133.19 1.00 1.00 r p2
+287.33 130.89 1.00 1.00 r p2
+290.48 128.81 1.00 1.00 r p2
+295.25 132.50 1.00 1.00 r p2
+285.12 127.17 1.00 1.00 r p2
+287.89 130.41 1.00 1.00 r p2
+275.26 126.06 1.00 1.00 r p2
+291.16 134.93 1.00 1.00 r p2
+299.14 132.80 1.00 1.00 r p2
+296.96 134.78 1.00 1.00 r p2
+293.06 130.70 1.00 1.00 r p2
+293.52 133.66 1.00 1.00 r p2
+300.10 143.11 1.00 1.00 r p2
+291.54 129.57 1.00 1.00 r p2
+289.62 128.09 1.00 1.00 r p2
+287.48 127.85 1.00 1.00 r p2
+287.08 129.68 1.00 1.00 r p2
+294.85 134.12 1.00 1.00 r p2
+286.94 128.54 1.00 1.00 r p2
+288.44 130.64 1.00 1.00 r p2
+290.98 132.31 1.00 1.00 r p2
+290.77 143.05 1.00 1.00 r p2
+289.54 125.72 1.00 1.00 r p2
+285.43 135.28 1.00 1.00 r p2
+302.24 135.42 1.00 1.00 r p2
+297.28 134.44 1.00 1.00 r p2
+285.94 125.50 1.00 1.00 r p2
+295.02 128.51 1.00 1.00 r p2
+293.04 131.65 1.00 1.00 r p2
+285.52 130.59 1.00 1.00 r p2
+286.48 122.71 1.00 1.00 r p2
+294.60 131.87 1.00 1.00 r p2
+289.31 134.50 1.00 1.00 r p2
+301.67 138.14 1.00 1.00 r p2
+277.15 117.90 1.00 1.00 r p2
+289.42 130.76 1.00 1.00 r p2
+295.47 129.49 1.00 1.00 r p2
+289.84 129.81 1.00 1.00 r p2
+304.85 134.65 1.00 1.00 r p2
+302.84 134.79 1.00 1.00 r p2
+292.25 129.16 1.00 1.00 r p2
+305.81 142.05 1.00 1.00 r p2
+291.91 127.39 1.00 1.00 r p2
+292.50 134.46 1.00 1.00 r p2
+299.55 138.66 1.00 1.00 r p2
+307.73 140.72 1.00 1.00 r p2
+295.89 131.98 1.00 1.00 r p2
+300.65 142.98 1.00 1.00 r p2
+295.15 131.82 1.00 1.00 r p2
+291.27 130.67 1.00 1.00 r p2
+293.52 138.09 1.00 1.00 r p2
+292.96 135.53 1.00 1.00 r p2
+284.03 124.65 1.00 1.00 r p2
+286.93 127.71 1.00 1.00 r p2
+285.24 125.32 1.00 1.00 r p2
+286.72 131.46 1.00 1.00 r p2
+292.01 127.11 1.00 1.00 r p2
+295.20 134.54 1.00 1.00 r p2
+297.41 139.72 1.00 1.00 r p2
+282.58 126.04 1.00 1.00 r p2
+295.67 148.73 1.00 1.00 r p2
+283.32 124.09 1.00 1.00 r p2
+307.70 138.44 1.00 1.00 r p2
+295.94 135.21 1.00 1.00 r p2
+297.73 133.24 1.00 1.00 r p2
+293.22 134.16 1.00 1.00 r p2
+296.65 131.32 1.00 1.00 r p2
+291.87 132.45 1.00 1.00 r p2
+290.22 127.24 1.00 1.00 r p2
+285.80 129.78 1.00 1.00 r p2
+273.79 125.37 1.00 1.00 r p2
+285.42 129.31 1.00 1.00 r p2
+293.73 129.60 1.00 1.00 r p2
+289.13 133.50 1.00 1.00 r p2
+282.57 130.71 1.00 1.00 r p2
+290.39 132.18 1.00 1.00 r p2
+291.73 133.23 1.00 1.00 r p2
+300.18 136.31 1.00 1.00 r p2
+295.26 135.55 1.00 1.00 r p2
+296.16 130.65 1.00 1.00 r p2
+288.43 132.37 1.00 1.00 r p2
+307.67 143.47 1.00 1.00 r p2
+294.17 138.82 1.00 1.00 r p2
+291.28 132.11 1.00 1.00 r p2
+293.00 131.83 1.00 1.00 r p2
+300.35 135.02 1.00 1.00 r p2
+283.53 124.96 1.00 1.00 r p2
+293.18 134.57 1.00 1.00 r p2
+273.30 120.54 1.00 1.00 r p2
+281.96 120.69 1.00 1.00 r p2
+296.18 135.77 1.00 1.00 r p2
+290.36 129.95 1.00 1.00 r p2
+290.17 130.15 1.00 1.00 r p2
+289.59 131.17 1.00 1.00 r p2
+279.59 124.09 1.00 1.00 r p2
+273.92 126.11 1.00 1.00 r p2
+296.81 144.76 1.00 1.00 r p2
+287.31 129.18 1.00 1.00 r p2
+278.99 126.05 1.00 1.00 r p2
+295.15 128.47 1.00 1.00 r p2
+287.41 132.52 1.00 1.00 r p2
+284.69 126.66 1.00 1.00 r p2
+288.51 122.76 1.00 1.00 r p2
+306.54 138.50 1.00 1.00 r p2
+288.41 133.83 1.00 1.00 r p2
+296.89 137.23 1.00 1.00 r p2
+275.95 125.89 1.00 1.00 r p2
+284.35 130.04 1.00 1.00 r p2
+294.02 131.16 1.00 1.00 r p2
+284.88 130.91 1.00 1.00 r p2
+300.42 141.28 1.00 1.00 r p2
+294.02 128.89 1.00 1.00 r p2
+287.65 129.75 1.00 1.00 r p2
+290.81 131.41 1.00 1.00 r p2
+295.98 134.62 1.00 1.00 r p2
+282.11 127.55 1.00 1.00 r p2
+284.81 131.41 1.00 1.00 r p2
+285.28 125.10 1.00 1.00 r p2
+294.91 131.28 1.00 1.00 r p2
+282.86 125.13 1.00 1.00 r p2
+283.85 130.64 1.00 1.00 r p2
+297.19 130.42 1.00 1.00 r p2
+282.01 128.54 1.00 1.00 r p2
+301.52 133.89 1.00 1.00 r p2
+281.06 127.45 1.00 1.00 r p2
+295.46 134.06 1.00 1.00 r p2
+284.81 132.96 1.00 1.00 r p2
+299.12 134.56 1.00 1.00 r p2
+299.91 135.62 1.00 1.00 r p2
+286.13 129.88 1.00 1.00 r p2
+299.93 129.55 1.00 1.00 r p2
+288.57 132.68 1.00 1.00 r p2
+299.18 133.59 1.00 1.00 r p2
+288.87 125.79 1.00 1.00 r p2
+281.38 130.20 1.00 1.00 r p2
+293.28 128.17 1.00 1.00 r p2
+308.16 139.72 1.00 1.00 r p2
+294.86 134.98 1.00 1.00 r p2
+295.54 138.62 1.00 1.00 r p2
+288.27 131.16 1.00 1.00 r p2
+285.72 130.92 1.00 1.00 r p2
+291.55 131.72 1.00 1.00 r p2
+293.94 133.70 1.00 1.00 r p2
+305.60 140.72 1.00 1.00 r p2
+288.25 125.81 1.00 1.00 r p2
+290.86 132.28 1.00 1.00 r p2
+301.10 138.43 1.00 1.00 r p2
+291.17 135.06 1.00 1.00 r p2
+280.42 127.86 1.00 1.00 r p2
+289.37 132.90 1.00 1.00 r p2
+294.25 136.25 1.00 1.00 r p2
+283.85 131.92 1.00 1.00 r p2
+294.00 134.98 1.00 1.00 r p2
+291.84 132.24 1.00 1.00 r p2
+291.97 131.87 1.00 1.00 r p2
+290.28 130.34 1.00 1.00 r p2
+290.04 124.44 1.00 1.00 r p2
+288.79 128.99 1.00 1.00 r p2
+275.76 124.90 1.00 1.00 r p2
+290.23 134.33 1.00 1.00 r p2
+291.29 130.30 1.00 1.00 r p2
+294.77 131.86 1.00 1.00 r p2
+289.98 129.82 1.00 1.00 r p2
+297.09 135.72 1.00 1.00 r p2
+285.45 128.43 1.00 1.00 r p2
+280.39 122.47 1.00 1.00 r p2
+303.14 142.48 1.00 1.00 r p2
+295.92 133.42 1.00 1.00 r p2
+293.28 130.75 1.00 1.00 r p2
+293.88 136.74 1.00 1.00 r p2
+312.13 143.73 1.00 1.00 r p2
+295.30 137.22 1.00 1.00 r p2
+299.69 134.17 1.00 1.00 r p2
+299.52 141.31 1.00 1.00 r p2
+290.00 130.86 1.00 1.00 r p2
+299.33 136.47 1.00 1.00 r p2
+294.87 134.82 1.00 1.00 r p2
+300.55 139.77 1.00 1.00 r p2
+288.55 126.80 1.00 1.00 r p2
+286.05 127.98 1.00 1.00 r p2
+302.23 140.56 1.00 1.00 r p2
+296.46 139.04 1.00 1.00 r p2
+286.29 126.87 1.00 1.00 r p2
+294.34 134.15 1.00 1.00 r p2
+287.19 125.12 1.00 1.00 r p2
+277.48 123.01 1.00 1.00 r p2
+307.26 145.05 1.00 1.00 r p2
+287.23 130.68 1.00 1.00 r p2
+294.83 137.83 1.00 1.00 r p2
+302.18 135.21 1.00 1.00 r p2
+273.70 121.57 1.00 1.00 r p2
+291.22 134.68 1.00 1.00 r p2
+282.89 130.17 1.00 1.00 r p2
+293.37 132.51 1.00 1.00 r p2
+288.66 129.37 1.00 1.00 r p2
+294.50 127.26 1.00 1.00 r p2
+289.70 132.82 1.00 1.00 r p2
+295.01 137.01 1.00 1.00 r p2
+294.66 130.01 1.00 1.00 r p2
+292.53 129.08 1.00 1.00 r p2
+299.82 133.47 1.00 1.00 r p2
+295.01 140.80 1.00 1.00 r p2
+293.42 133.53 1.00 1.00 r p2
+288.68 128.33 1.00 1.00 r p2
+298.24 132.87 1.00 1.00 r p2
+284.79 127.33 1.00 1.00 r p2
+295.96 134.04 1.00 1.00 r p2
+292.99 135.67 1.00 1.00 r p2
+296.25 130.69 1.00 1.00 r p2
+297.13 134.91 1.00 1.00 r p2
+293.41 137.77 1.00 1.00 r p2
+277.59 122.61 1.00 1.00 r p2
+288.83 135.68 1.00 1.00 r p2
+286.72 131.06 1.00 1.00 r p2
+309.38 136.25 1.00 1.00 r p2
+287.85 129.63 1.00 1.00 r p2
+283.26 125.44 1.00 1.00 r p2
+286.57 131.54 1.00 1.00 r p2
+295.83 129.91 1.00 1.00 r p2
+285.17 128.07 1.00 1.00 r p2
+307.07 145.05 1.00 1.00 r p2
+285.98 128.44 1.00 1.00 r p2
+290.62 136.94 1.00 1.00 r p2
+284.48 128.65 1.00 1.00 r p2
+290.74 135.62 1.00 1.00 r p2
+304.00 140.42 1.00 1.00 r p2
+296.55 138.22 1.00 1.00 r p2
+285.74 127.19 1.00 1.00 r p2
+297.93 135.17 1.00 1.00 r p2
+288.20 129.31 1.00 1.00 r p2
+285.89 127.40 1.00 1.00 r p2
+281.69 123.42 1.00 1.00 r p2
+296.98 142.34 1.00 1.00 r p2
+293.90 133.74 1.00 1.00 r p2
+281.44 125.63 1.00 1.00 r p2
+292.60 130.94 1.00 1.00 r p2
+292.67 130.14 1.00 1.00 r p2
+291.00 133.50 1.00 1.00 r p2
+283.39 129.74 1.00 1.00 r p2
+286.68 123.68 1.00 1.00 r p2
+275.04 123.57 1.00 1.00 r p2
+282.11 123.77 1.00 1.00 r p2
+286.41 125.80 1.00 1.00 r p2
+292.13 127.13 1.00 1.00 r p2
+291.03 126.19 1.00 1.00 r p2
+291.35 132.42 1.00 1.00 r p2
+300.83 134.64 1.00 1.00 r p2
+294.33 138.26 1.00 1.00 r p2
+279.60 123.14 1.00 1.00 r p2
+284.71 127.00 1.00 1.00 r p2
+287.54 130.87 1.00 1.00 r p2
+275.89 124.01 1.00 1.00 r p2
+282.67 124.11 1.00 1.00 r p2
+284.18 129.17 1.00 1.00 r p2
+287.73 131.73 1.00 1.00 r p2
+290.88 127.74 1.00 1.00 r p2
+294.00 137.80 1.00 1.00 r p2
+296.91 131.48 1.00 1.00 r p2
+285.80 125.94 1.00 1.00 r p2
+296.37 129.96 1.00 1.00 r p2
+284.46 125.62 1.00 1.00 r p2
+294.99 139.20 1.00 1.00 r p2
+296.48 139.82 1.00 1.00 r p2
+295.70 132.91 1.00 1.00 r p2
+291.68 134.40 1.00 1.00 r p2
+295.09 130.78 1.00 1.00 r p2
+287.94 128.54 1.00 1.00 r p2
+296.31 129.04 1.00 1.00 r p2
+293.18 132.11 1.00 1.00 r p2
+286.01 125.54 1.00 1.00 r p2
+300.66 138.02 1.00 1.00 r p2
+305.84 138.69 1.00 1.00 r p2
+282.96 126.74 1.00 1.00 r p2
+290.66 132.16 1.00 1.00 r p2
+299.95 138.34 1.00 1.00 r p2
+279.66 123.74 1.00 1.00 r p2
+295.36 136.09 1.00 1.00 r p2
+290.23 127.91 1.00 1.00 r p2
+283.75 129.07 1.00 1.00 r p2
+291.92 133.42 1.00 1.00 r p2
+279.09 121.59 1.00 1.00 r p2
+277.50 127.39 1.00 1.00 r p2
+286.69 134.11 1.00 1.00 r p2
+292.02 128.96 1.00 1.00 r p2
+288.11 134.58 1.00 1.00 r p2
+276.24 122.96 1.00 1.00 r p2
+280.99 129.34 1.00 1.00 r p2
+285.09 128.45 1.00 1.00 r p2
+304.34 139.76 1.00 1.00 r p2
+288.01 129.92 1.00 1.00 r p2
+292.52 134.56 1.00 1.00 r p2
+295.14 134.74 1.00 1.00 r p2
+283.18 125.52 1.00 1.00 r p2
+285.29 132.04 1.00 1.00 r p2
+290.19 129.47 1.00 1.00 r p2
+301.17 134.22 1.00 1.00 r p2
+288.99 130.75 1.00 1.00 r p2
+282.94 126.83 1.00 1.00 r p2
+283.39 126.46 1.00 1.00 r p2
+281.62 128.94 1.00 1.00 r p2
+285.85 131.86 1.00 1.00 r p2
+289.15 126.10 1.00 1.00 r p2
+284.29 128.45 1.00 1.00 r p2
+297.06 138.48 1.00 1.00 r p2
+290.04 128.51 1.00 1.00 r p2
+280.13 124.86 1.00 1.00 r p2
+291.18 134.98 1.00 1.00 r p2
+285.02 122.76 1.00 1.00 r p2
+287.87 133.99 1.00 1.00 r p2
+297.91 134.73 1.00 1.00 r p2
+284.13 127.24 1.00 1.00 r p2
+279.23 127.64 1.00 1.00 r p2
+295.98 134.23 1.00 1.00 r p2
+282.86 126.28 1.00 1.00 r p2
+297.97 135.95 1.00 1.00 r p2
+290.77 136.26 1.00 1.00 r p2
+298.99 136.76 1.00 1.00 r p2
+292.32 133.08 1.00 1.00 r p2
+299.43 134.69 1.00 1.00 r p2
+291.20 127.93 1.00 1.00 r p2
+290.91 133.32 1.00 1.00 r p2
+297.32 133.30 1.00 1.00 r p2
+285.28 131.00 1.00 1.00 r p2
+298.42 135.65 1.00 1.00 r p2
+287.70 124.71 1.00 1.00 r p2
+293.99 134.72 1.00 1.00 r p2
+284.25 127.52 1.00 1.00 r p2
+276.87 127.67 1.00 1.00 r p2
+290.72 131.74 1.00 1.00 r p2
+289.86 127.26 1.00 1.00 r p2
+292.14 133.13 1.00 1.00 r p2
+292.26 126.19 1.00 1.00 r p2
+292.24 129.22 1.00 1.00 r p2
+304.64 138.07 1.00 1.00 r p2
+288.19 126.62 1.00 1.00 r p2
+291.10 128.17 1.00 1.00 r p2
+285.53 129.06 1.00 1.00 r p2
+303.56 143.86 1.00 1.00 r p2
+290.75 130.24 1.00 1.00 r p2
+289.21 128.47 1.00 1.00 r p2
+294.26 133.34 1.00 1.00 r p2
+303.51 139.30 1.00 1.00 r p2
+281.51 125.01 1.00 1.00 r p2
+292.65 131.70 1.00 1.00 r p2
+290.16 130.16 1.00 1.00 r p2
+287.42 132.76 1.00 1.00 r p2
+289.15 132.20 1.00 1.00 r p2
+283.90 132.19 1.00 1.00 r p2
+292.35 133.06 1.00 1.00 r p2
+290.43 129.82 1.00 1.00 r p2
+290.00 130.91 1.00 1.00 r p2
+302.78 135.73 1.00 1.00 r p2
+-384.94 -261.64 1226.83 856.91 cl
+ep
+%%Page: 18 18
+bp
+18.00 297.64 823.89 577.28 cl
+18.00 297.64 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+75.60 362.39 515.92 81.33 r p3
+75.60 459.99 217.97 81.33 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+66.96 398.75 (Y = 0) 1 0 0 t
+66.96 496.35 (Y = 1) 1 0 0 t
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Values: Y|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 314.92 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 355.24 m
+733.89 0 l
+o
+np
+75.60 355.24 m
+0 -3.60 l
+o
+np
+222.38 355.24 m
+0 -3.60 l
+o
+np
+369.16 355.24 m
+0 -3.60 l
+o
+np
+515.93 355.24 m
+0 -3.60 l
+o
+np
+662.71 355.24 m
+0 -3.60 l
+o
+np
+809.49 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+75.60 335.08 (0) .5 0 0 t
+222.38 335.08 (20) .5 0 0 t
+369.16 335.08 (40) .5 0 0 t
+515.93 335.08 (60) .5 0 0 t
+662.71 335.08 (80) .5 0 0 t
+809.49 335.08 (100) .5 0 0 t
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.04 l
+1.32 0.05 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.18 l
+1.33 0.19 l
+1.33 0.21 l
+1.33 0.21 l
+1.33 0.23 l
+1.33 0.25 l
+1.33 0.26 l
+1.33 0.27 l
+1.33 0.29 l
+1.33 0.30 l
+1.33 0.31 l
+1.33 0.33 l
+1.33 0.33 l
+1.33 0.35 l
+1.33 0.35 l
+1.33 0.37 l
+1.33 0.37 l
+1.33 0.37 l
+1.33 0.38 l
+1.33 0.37 l
+1.33 0.38 l
+1.33 0.38 l
+1.33 0.37 l
+1.33 0.37 l
+1.33 0.36 l
+1.33 0.36 l
+1.33 0.34 l
+1.32 0.34 l
+1.33 0.33 l
+1.33 0.32 l
+1.33 0.31 l
+1.33 0.30 l
+1.33 0.29 l
+1.33 0.29 l
+1.33 0.28 l
+1.33 0.28 l
+1.33 0.27 l
+1.33 0.27 l
+1.33 0.28 l
+1.33 0.28 l
+1.33 0.29 l
+1.33 0.29 l
+1.33 0.31 l
+1.33 0.33 l
+1.33 0.34 l
+1.33 0.37 l
+235.76 100.01 lineto
+1.33 0.41 l
+1.33 0.45 l
+1.33 0.47 l
+1.33 0.50 l
+1.33 0.53 l
+1.33 0.56 l
+1.33 0.61 l
+1.33 0.64 l
+1.33 0.67 l
+1.33 0.70 l
+1.33 0.74 l
+1.33 0.77 l
+1.33 0.81 l
+1.33 0.83 l
+1.33 0.86 l
+1.33 0.89 l
+1.33 0.92 l
+1.33 0.94 l
+1.33 0.95 l
+1.33 0.98 l
+1.33 0.98 l
+1.33 1.01 l
+1.33 1.01 l
+1.33 1.01 l
+1.33 1.03 l
+1.33 1.02 l
+1.33 1.02 l
+1.33 1.02 l
+1.33 1.01 l
+1.33 1.01 l
+1.32 1.00 l
+1.33 0.99 l
+1.33 0.97 l
+1.33 0.97 l
+1.33 0.95 l
+1.33 0.94 l
+1.33 0.93 l
+1.33 0.92 l
+1.33 0.91 l
+1.33 0.89 l
+1.33 0.90 l
+1.33 0.88 l
+1.33 0.89 l
+1.33 0.88 l
+1.33 0.89 l
+1.33 0.89 l
+1.33 0.90 l
+1.33 0.92 l
+1.33 0.93 l
+1.33 0.95 l
+1.33 0.98 l
+1.33 0.99 l
+1.33 1.04 l
+1.33 1.07 l
+1.33 1.11 l
+1.33 1.15 l
+1.33 1.19 l
+1.33 1.24 l
+1.33 1.29 l
+1.33 1.35 l
+1.33 1.39 l
+1.33 1.44 l
+1.33 1.50 l
+1.33 1.57 l
+1.33 1.61 l
+1.33 1.67 l
+1.33 1.72 l
+1.33 1.77 l
+1.33 1.84 l
+1.33 1.87 l
+1.33 1.93 l
+1.33 1.96 l
+1.33 2.01 l
+1.33 2.05 l
+1.33 2.08 l
+1.33 2.12 l
+1.33 2.13 l
+1.33 2.16 l
+1.33 2.18 l
+1.33 2.19 l
+1.32 2.19 l
+1.33 2.19 l
+1.33 2.19 l
+1.33 2.19 l
+1.33 2.16 l
+1.33 2.14 l
+1.33 2.12 l
+1.33 2.10 l
+1.33 2.05 l
+1.33 2.01 l
+1.33 1.96 l
+1.33 1.92 l
+1.33 1.87 l
+1.33 1.81 l
+1.33 1.75 l
+1.33 1.68 l
+1.33 1.63 l
+1.33 1.57 l
+1.33 1.51 l
+368.74 229.93 lineto
+1.33 1.37 l
+1.33 1.31 l
+1.33 1.26 l
+1.33 1.20 l
+1.33 1.14 l
+1.33 1.09 l
+1.33 1.05 l
+1.33 1.00 l
+1.33 0.97 l
+1.33 0.92 l
+1.33 0.89 l
+1.33 0.87 l
+1.33 0.85 l
+1.33 0.82 l
+1.33 0.81 l
+1.33 0.79 l
+1.33 0.79 l
+1.33 0.77 l
+1.33 0.77 l
+1.33 0.77 l
+1.33 0.76 l
+1.33 0.76 l
+1.33 0.75 l
+1.33 0.75 l
+1.33 0.74 l
+1.33 0.73 l
+1.33 0.72 l
+1.33 0.71 l
+1.33 0.69 l
+1.32 0.68 l
+1.33 0.64 l
+1.33 0.62 l
+1.33 0.58 l
+1.33 0.55 l
+1.33 0.52 l
+1.33 0.45 l
+1.33 0.41 l
+1.33 0.36 l
+1.33 0.31 l
+1.33 0.24 l
+1.33 0.18 l
+1.33 0.11 l
+1.33 0.05 l
+1.33 -0.01 l
+1.33 -0.07 l
+1.33 -0.15 l
+1.33 -0.21 l
+1.33 -0.26 l
+1.33 -0.32 l
+1.33 -0.37 l
+1.33 -0.42 l
+1.33 -0.47 l
+1.33 -0.50 l
+1.33 -0.53 l
+1.33 -0.55 l
+1.33 -0.57 l
+1.33 -0.59 l
+1.33 -0.59 l
+1.33 -0.60 l
+1.33 -0.59 l
+1.33 -0.57 l
+1.33 -0.57 l
+1.33 -0.54 l
+1.33 -0.53 l
+1.33 -0.50 l
+1.33 -0.48 l
+1.33 -0.44 l
+1.33 -0.43 l
+1.33 -0.40 l
+1.33 -0.37 l
+1.33 -0.36 l
+1.33 -0.33 l
+1.33 -0.32 l
+1.33 -0.30 l
+1.33 -0.30 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.30 l
+1.32 -0.30 l
+1.33 -0.32 l
+1.33 -0.33 l
+1.33 -0.36 l
+1.33 -0.37 l
+1.33 -0.40 l
+1.33 -0.42 l
+1.33 -0.45 l
+1.33 -0.49 l
+1.33 -0.51 l
+1.33 -0.54 l
+1.33 -0.58 l
+1.33 -0.61 l
+1.33 -0.65 l
+1.33 -0.69 l
+1.33 -0.72 l
+1.33 -0.77 l
+1.33 -0.80 l
+1.33 -0.86 l
+1.33 -0.90 l
+501.72 235.25 lineto
+1.33 -0.99 l
+1.33 -1.04 l
+1.33 -1.11 l
+1.33 -1.16 l
+1.33 -1.21 l
+1.33 -1.27 l
+1.33 -1.32 l
+1.33 -1.39 l
+1.33 -1.45 l
+1.33 -1.50 l
+1.33 -1.56 l
+1.33 -1.61 l
+1.33 -1.67 l
+1.33 -1.72 l
+1.33 -1.76 l
+1.33 -1.80 l
+1.33 -1.84 l
+1.33 -1.88 l
+1.33 -1.91 l
+1.33 -1.93 l
+1.33 -1.94 l
+1.33 -1.96 l
+1.33 -1.96 l
+1.33 -1.96 l
+1.33 -1.96 l
+1.33 -1.95 l
+1.33 -1.93 l
+1.33 -1.91 l
+1.33 -1.89 l
+1.32 -1.86 l
+1.33 -1.82 l
+1.33 -1.80 l
+1.33 -1.76 l
+1.33 -1.72 l
+1.33 -1.69 l
+1.33 -1.64 l
+1.33 -1.62 l
+1.33 -1.57 l
+1.33 -1.54 l
+1.33 -1.51 l
+1.33 -1.48 l
+1.33 -1.45 l
+1.33 -1.43 l
+1.33 -1.41 l
+1.33 -1.38 l
+1.33 -1.38 l
+1.33 -1.36 l
+1.33 -1.36 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.36 l
+1.33 -1.36 l
+1.33 -1.36 l
+1.33 -1.38 l
+1.33 -1.38 l
+1.33 -1.39 l
+1.33 -1.40 l
+1.33 -1.40 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.40 l
+1.33 -1.40 l
+1.33 -1.38 l
+1.33 -1.36 l
+1.33 -1.35 l
+1.33 -1.32 l
+1.33 -1.29 l
+1.33 -1.26 l
+1.33 -1.24 l
+1.33 -1.19 l
+1.33 -1.16 l
+1.33 -1.11 l
+1.33 -1.08 l
+1.33 -1.03 l
+1.33 -1.00 l
+1.32 -0.95 l
+1.33 -0.90 l
+1.33 -0.87 l
+1.33 -0.82 l
+1.33 -0.80 l
+1.33 -0.75 l
+1.33 -0.71 l
+1.33 -0.69 l
+1.33 -0.66 l
+1.33 -0.63 l
+1.33 -0.61 l
+1.33 -0.59 l
+1.33 -0.57 l
+1.33 -0.55 l
+1.33 -0.55 l
+1.33 -0.53 l
+1.33 -0.52 l
+1.33 -0.52 l
+1.33 -0.51 l
+1.33 -0.52 l
+634.70 103.40 lineto
+1.33 -0.51 l
+1.33 -0.50 l
+1.33 -0.52 l
+1.33 -0.51 l
+1.33 -0.51 l
+1.33 -0.51 l
+1.33 -0.52 l
+1.33 -0.51 l
+1.33 -0.52 l
+1.33 -0.52 l
+1.33 -0.51 l
+1.33 -0.51 l
+1.33 -0.51 l
+1.33 -0.51 l
+1.33 -0.51 l
+1.33 -0.50 l
+1.33 -0.50 l
+1.33 -0.49 l
+1.33 -0.48 l
+1.33 -0.48 l
+1.33 -0.48 l
+1.33 -0.46 l
+1.33 -0.45 l
+1.33 -0.45 l
+1.33 -0.44 l
+1.33 -0.42 l
+1.33 -0.42 l
+1.33 -0.40 l
+1.33 -0.39 l
+1.32 -0.38 l
+1.33 -0.37 l
+1.33 -0.35 l
+1.33 -0.34 l
+1.33 -0.32 l
+1.33 -0.31 l
+1.33 -0.30 l
+1.33 -0.28 l
+1.33 -0.26 l
+1.33 -0.25 l
+1.33 -0.24 l
+1.33 -0.22 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.18 l
+1.33 -0.16 l
+1.33 -0.15 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.32 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+767.68 82.81 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+137.95 75.60 m
+563.37 0 l
+o
+np
+137.95 75.60 m
+0 -3.60 l
+o
+np
+278.80 75.60 m
+0 -3.60 l
+o
+np
+419.64 75.60 m
+0 -3.60 l
+o
+np
+560.48 75.60 m
+0 -3.60 l
+o
+np
+701.32 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+137.95 55.44 (0.20) .5 0 0 t
+278.80 55.44 (0.25) .5 0 0 t
+419.64 55.44 (0.30) .5 0 0 t
+560.48 55.44 (0.35) .5 0 0 t
+701.32 55.44 (0.40) .5 0 0 t
+np
+75.60 82.75 m
+0 182.80 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 113.21 m
+-3.60 0 l
+o
+np
+75.60 143.68 m
+-3.60 0 l
+o
+np
+75.60 174.15 m
+-3.60 0 l
+o
+np
+75.60 204.61 m
+-3.60 0 l
+o
+np
+75.60 235.08 m
+-3.60 0 l
+o
+np
+75.60 265.55 m
+-3.60 0 l
+o
+64.08 82.75 (0) .5 0 90 t
+64.08 113.21 (2) .5 0 90 t
+64.08 143.68 (4) .5 0 90 t
+64.08 174.15 (6) .5 0 90 t
+64.08 204.61 (8) .5 0 90 t
+64.08 235.08 (10) .5 0 90 t
+64.08 265.55 (12) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 19 19
+bp
+18.00 390.85 823.89 577.28 cl
+18.00 390.85 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+56.02 433.66 531.62 54.46 r p3
+56.02 499.01 226.75 54.46 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+50.31 458.02 (Y = 0) 1 0 0 t
+50.31 523.37 (Y = 1) 1 0 0 t
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 402.26 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 428.87 m
+758.37 0 l
+o
+np
+56.02 428.87 m
+0 -2.38 l
+o
+np
+207.69 428.87 m
+0 -2.38 l
+o
+np
+359.36 428.87 m
+0 -2.38 l
+o
+np
+511.04 428.87 m
+0 -2.38 l
+o
+np
+662.71 428.87 m
+0 -2.38 l
+o
+np
+814.39 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+56.02 415.56 (0) .5 0 0 t
+207.69 415.56 (20) .5 0 0 t
+359.36 415.56 (40) .5 0 0 t
+511.04 415.56 (60) .5 0 0 t
+662.71 415.56 (80) .5 0 0 t
+814.39 415.56 (100) .5 0 0 t
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 247.23 m
+1.38 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.04 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.07 l
+1.37 0.06 l
+1.38 0.08 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.09 l
+1.38 0.10 l
+1.37 0.11 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.13 l
+1.38 0.13 l
+1.37 0.14 l
+1.37 0.14 l
+1.38 0.15 l
+1.37 0.16 l
+1.38 0.17 l
+1.37 0.18 l
+1.38 0.18 l
+1.37 0.20 l
+1.37 0.20 l
+1.38 0.21 l
+1.37 0.22 l
+1.38 0.23 l
+1.37 0.24 l
+1.37 0.25 l
+1.38 0.25 l
+1.37 0.26 l
+1.38 0.27 l
+1.37 0.28 l
+1.38 0.28 l
+1.37 0.29 l
+1.37 0.29 l
+1.38 0.30 l
+1.37 0.30 l
+1.38 0.30 l
+1.37 0.30 l
+1.37 0.30 l
+1.38 0.30 l
+1.37 0.29 l
+1.38 0.30 l
+1.37 0.28 l
+1.38 0.29 l
+1.37 0.27 l
+1.37 0.28 l
+1.38 0.26 l
+1.37 0.26 l
+1.38 0.26 l
+1.37 0.24 l
+1.37 0.25 l
+1.38 0.24 l
+1.37 0.23 l
+1.38 0.24 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.24 l
+1.37 0.24 l
+1.38 0.25 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.28 l
+1.37 0.28 l
+1.38 0.30 l
+1.37 0.31 l
+1.38 0.34 l
+1.37 0.35 l
+1.38 0.36 l
+221.52 263.51 lineto
+1.37 0.40 l
+1.38 0.42 l
+1.37 0.45 l
+1.38 0.46 l
+1.37 0.48 l
+1.37 0.49 l
+1.38 0.52 l
+1.37 0.53 l
+1.38 0.55 l
+1.37 0.56 l
+1.38 0.57 l
+1.37 0.59 l
+1.37 0.60 l
+1.38 0.61 l
+1.37 0.62 l
+1.38 0.63 l
+1.37 0.64 l
+1.37 0.65 l
+1.38 0.65 l
+1.37 0.66 l
+1.38 0.67 l
+1.37 0.68 l
+1.38 0.69 l
+1.37 0.69 l
+1.37 0.71 l
+1.38 0.71 l
+1.37 0.73 l
+1.38 0.74 l
+1.37 0.75 l
+1.37 0.77 l
+1.38 0.79 l
+1.37 0.80 l
+1.38 0.83 l
+1.37 0.85 l
+1.37 0.87 l
+1.38 0.90 l
+1.37 0.92 l
+1.38 0.96 l
+1.37 0.99 l
+1.38 1.03 l
+1.37 1.05 l
+1.37 1.09 l
+1.38 1.14 l
+1.37 1.18 l
+1.38 1.21 l
+1.37 1.26 l
+1.37 1.29 l
+1.38 1.35 l
+1.37 1.39 l
+1.38 1.43 l
+1.37 1.47 l
+1.38 1.51 l
+1.37 1.55 l
+1.37 1.59 l
+1.38 1.62 l
+1.37 1.66 l
+1.38 1.68 l
+1.37 1.70 l
+1.37 1.74 l
+1.38 1.74 l
+1.37 1.76 l
+1.38 1.76 l
+1.37 1.77 l
+1.38 1.75 l
+1.37 1.75 l
+1.37 1.74 l
+1.38 1.71 l
+1.37 1.69 l
+1.38 1.64 l
+1.37 1.61 l
+1.37 1.56 l
+1.38 1.52 l
+1.37 1.47 l
+1.38 1.40 l
+1.37 1.33 l
+1.38 1.27 l
+1.37 1.21 l
+1.37 1.14 l
+1.38 1.05 l
+1.37 0.98 l
+1.38 0.91 l
+1.37 0.83 l
+1.37 0.77 l
+1.38 0.69 l
+1.37 0.61 l
+1.38 0.55 l
+1.37 0.49 l
+1.38 0.43 l
+1.37 0.38 l
+1.37 0.31 l
+1.38 0.28 l
+1.37 0.24 l
+1.38 0.20 l
+1.37 0.17 l
+1.37 0.15 l
+1.38 0.13 l
+1.37 0.13 l
+1.38 0.12 l
+1.37 0.11 l
+358.94 357.06 lineto
+1.37 0.14 l
+1.37 0.15 l
+1.38 0.17 l
+1.37 0.19 l
+1.38 0.22 l
+1.37 0.25 l
+1.37 0.28 l
+1.38 0.30 l
+1.37 0.34 l
+1.38 0.36 l
+1.37 0.40 l
+1.38 0.42 l
+1.37 0.44 l
+1.37 0.46 l
+1.38 0.48 l
+1.37 0.49 l
+1.38 0.49 l
+1.37 0.50 l
+1.37 0.49 l
+1.38 0.47 l
+1.37 0.46 l
+1.38 0.44 l
+1.37 0.41 l
+1.37 0.38 l
+1.38 0.33 l
+1.37 0.29 l
+1.38 0.24 l
+1.37 0.19 l
+1.38 0.13 l
+1.37 0.08 l
+1.37 0 l
+1.38 -0.06 l
+1.37 -0.11 l
+1.38 -0.18 l
+1.37 -0.24 l
+1.37 -0.31 l
+1.38 -0.37 l
+1.37 -0.43 l
+1.38 -0.47 l
+1.37 -0.53 l
+1.38 -0.59 l
+1.37 -0.63 l
+1.37 -0.67 l
+1.38 -0.71 l
+1.37 -0.74 l
+1.38 -0.78 l
+1.37 -0.80 l
+1.37 -0.82 l
+1.38 -0.84 l
+1.37 -0.85 l
+1.38 -0.87 l
+1.37 -0.87 l
+1.38 -0.89 l
+1.37 -0.88 l
+1.37 -0.89 l
+1.38 -0.89 l
+1.37 -0.88 l
+1.38 -0.88 l
+1.37 -0.88 l
+1.37 -0.86 l
+1.38 -0.87 l
+1.37 -0.85 l
+1.38 -0.85 l
+1.37 -0.83 l
+1.38 -0.83 l
+1.37 -0.82 l
+1.37 -0.80 l
+1.38 -0.80 l
+1.37 -0.78 l
+1.38 -0.78 l
+1.37 -0.76 l
+1.37 -0.75 l
+1.38 -0.75 l
+1.37 -0.73 l
+1.38 -0.72 l
+1.37 -0.71 l
+1.38 -0.70 l
+1.37 -0.69 l
+1.37 -0.68 l
+1.38 -0.68 l
+1.37 -0.67 l
+1.38 -0.66 l
+1.37 -0.66 l
+1.37 -0.66 l
+1.38 -0.66 l
+1.37 -0.65 l
+1.38 -0.66 l
+1.37 -0.67 l
+1.38 -0.67 l
+1.37 -0.69 l
+1.37 -0.69 l
+1.38 -0.71 l
+1.37 -0.72 l
+1.38 -0.74 l
+1.37 -0.77 l
+1.37 -0.78 l
+1.38 -0.81 l
+1.37 -0.83 l
+1.38 -0.86 l
+496.35 318.30 lineto
+1.38 -0.91 l
+1.37 -0.94 l
+1.37 -0.98 l
+1.38 -0.99 l
+1.37 -1.03 l
+1.38 -1.04 l
+1.37 -1.07 l
+1.37 -1.09 l
+1.38 -1.10 l
+1.37 -1.12 l
+1.38 -1.14 l
+1.37 -1.14 l
+1.37 -1.14 l
+1.38 -1.15 l
+1.37 -1.15 l
+1.38 -1.14 l
+1.37 -1.13 l
+1.38 -1.12 l
+1.37 -1.11 l
+1.37 -1.08 l
+1.38 -1.07 l
+1.37 -1.05 l
+1.38 -1.01 l
+1.37 -0.99 l
+1.37 -0.96 l
+1.38 -0.94 l
+1.37 -0.90 l
+1.38 -0.87 l
+1.37 -0.84 l
+1.38 -0.80 l
+1.37 -0.78 l
+1.37 -0.74 l
+1.38 -0.71 l
+1.37 -0.68 l
+1.38 -0.65 l
+1.37 -0.63 l
+1.37 -0.60 l
+1.38 -0.58 l
+1.37 -0.55 l
+1.38 -0.52 l
+1.37 -0.51 l
+1.38 -0.49 l
+1.37 -0.48 l
+1.37 -0.45 l
+1.38 -0.45 l
+1.37 -0.43 l
+1.38 -0.42 l
+1.37 -0.42 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.40 l
+1.38 -0.41 l
+1.37 -0.40 l
+1.37 -0.41 l
+1.38 -0.42 l
+1.37 -0.42 l
+1.38 -0.43 l
+1.37 -0.44 l
+1.37 -0.45 l
+1.38 -0.45 l
+1.37 -0.46 l
+1.38 -0.46 l
+1.37 -0.48 l
+1.38 -0.48 l
+1.37 -0.48 l
+1.37 -0.48 l
+1.38 -0.49 l
+1.37 -0.49 l
+1.38 -0.49 l
+1.37 -0.49 l
+1.37 -0.48 l
+1.38 -0.49 l
+1.37 -0.47 l
+1.38 -0.47 l
+1.37 -0.46 l
+1.38 -0.46 l
+1.37 -0.44 l
+1.37 -0.44 l
+1.38 -0.42 l
+1.37 -0.42 l
+1.38 -0.40 l
+1.37 -0.40 l
+1.37 -0.39 l
+1.38 -0.37 l
+1.37 -0.37 l
+1.38 -0.36 l
+1.37 -0.36 l
+1.37 -0.34 l
+1.38 -0.34 l
+1.37 -0.33 l
+1.38 -0.33 l
+1.37 -0.32 l
+1.38 -0.32 l
+1.37 -0.32 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.31 l
+633.77 255.84 lineto
+1.37 -0.29 l
+1.37 -0.29 l
+1.38 -0.29 l
+1.37 -0.28 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.38 -0.27 l
+1.37 -0.25 l
+1.37 -0.25 l
+1.38 -0.25 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.21 l
+1.37 -0.21 l
+1.38 -0.20 l
+1.37 -0.19 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+771.18 247.27 lineto
+1.38 -0.01 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+166.10 242.44 m
+599.70 0 l
+o
+np
+166.10 242.44 m
+0 -2.37 l
+o
+np
+286.04 242.44 m
+0 -2.37 l
+o
+np
+405.98 242.44 m
+0 -2.37 l
+o
+np
+525.92 242.44 m
+0 -2.37 l
+o
+np
+645.86 242.44 m
+0 -2.37 l
+o
+np
+765.80 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+166.10 229.14 (0.20) .5 0 0 t
+286.04 229.14 (0.25) .5 0 0 t
+405.98 229.14 (0.30) .5 0 0 t
+525.92 229.14 (0.35) .5 0 0 t
+645.86 229.14 (0.40) .5 0 0 t
+765.80 229.14 (0.45) .5 0 0 t
+np
+56.02 247.23 m
+0 116.83 l
+o
+np
+56.02 247.23 m
+-2.38 0 l
+o
+np
+56.02 270.59 m
+-2.38 0 l
+o
+np
+56.02 293.96 m
+-2.38 0 l
+o
+np
+56.02 317.33 m
+-2.38 0 l
+o
+np
+56.02 340.69 m
+-2.38 0 l
+o
+np
+56.02 364.06 m
+-2.38 0 l
+o
+48.41 247.23 (0) .5 0 90 t
+48.41 270.59 (2) .5 0 90 t
+48.41 293.96 (4) .5 0 90 t
+48.41 317.33 (6) .5 0 90 t
+48.41 340.69 (8) .5 0 90 t
+48.41 364.06 (10) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.23 m
+758.37 0 l
+o
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 60.81 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.04 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.09 l
+1.38 0.09 l
+221.52 63.24 lineto
+1.37 0.10 l
+1.38 0.11 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.13 l
+1.37 0.13 l
+1.38 0.13 l
+1.37 0.15 l
+1.38 0.15 l
+1.37 0.16 l
+1.38 0.17 l
+1.37 0.18 l
+1.37 0.18 l
+1.38 0.20 l
+1.37 0.20 l
+1.38 0.21 l
+1.37 0.22 l
+1.37 0.22 l
+1.38 0.23 l
+1.37 0.24 l
+1.38 0.24 l
+1.37 0.25 l
+1.38 0.25 l
+1.37 0.26 l
+1.37 0.26 l
+1.38 0.25 l
+1.37 0.26 l
+1.38 0.26 l
+1.37 0.26 l
+1.37 0.26 l
+1.38 0.25 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.24 l
+1.37 0.25 l
+1.38 0.25 l
+1.37 0.24 l
+1.38 0.25 l
+1.37 0.24 l
+1.38 0.25 l
+1.37 0.25 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.27 l
+1.38 0.27 l
+1.37 0.28 l
+1.37 0.30 l
+1.38 0.30 l
+1.37 0.32 l
+1.38 0.33 l
+1.37 0.35 l
+1.38 0.36 l
+1.37 0.38 l
+1.37 0.40 l
+1.38 0.42 l
+1.37 0.43 l
+1.38 0.45 l
+1.37 0.47 l
+1.37 0.49 l
+1.38 0.50 l
+1.37 0.53 l
+1.38 0.54 l
+1.37 0.55 l
+1.38 0.58 l
+1.37 0.58 l
+1.37 0.61 l
+1.38 0.62 l
+1.37 0.64 l
+1.38 0.65 l
+1.37 0.66 l
+1.37 0.68 l
+1.38 0.70 l
+1.37 0.72 l
+1.38 0.73 l
+1.37 0.74 l
+1.38 0.76 l
+1.37 0.79 l
+1.37 0.79 l
+1.38 0.82 l
+1.37 0.83 l
+1.38 0.85 l
+1.37 0.86 l
+1.37 0.89 l
+1.38 0.89 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.94 l
+1.38 0.94 l
+1.37 0.96 l
+1.37 0.95 l
+1.38 0.97 l
+1.37 0.96 l
+1.38 0.97 l
+1.37 0.97 l
+1.37 0.96 l
+1.38 0.96 l
+1.37 0.95 l
+1.38 0.95 l
+1.37 0.94 l
+358.94 110.87 lineto
+1.37 0.93 l
+1.37 0.91 l
+1.38 0.91 l
+1.37 0.90 l
+1.38 0.90 l
+1.37 0.89 l
+1.37 0.89 l
+1.38 0.88 l
+1.37 0.88 l
+1.38 0.89 l
+1.37 0.88 l
+1.38 0.89 l
+1.37 0.89 l
+1.37 0.90 l
+1.38 0.90 l
+1.37 0.91 l
+1.38 0.92 l
+1.37 0.92 l
+1.37 0.93 l
+1.38 0.94 l
+1.37 0.95 l
+1.38 0.94 l
+1.37 0.95 l
+1.37 0.96 l
+1.38 0.95 l
+1.37 0.95 l
+1.38 0.95 l
+1.37 0.94 l
+1.38 0.94 l
+1.37 0.92 l
+1.37 0.92 l
+1.38 0.90 l
+1.37 0.89 l
+1.38 0.87 l
+1.37 0.85 l
+1.37 0.84 l
+1.38 0.81 l
+1.37 0.80 l
+1.38 0.78 l
+1.37 0.76 l
+1.38 0.74 l
+1.37 0.72 l
+1.37 0.71 l
+1.38 0.69 l
+1.37 0.67 l
+1.38 0.65 l
+1.37 0.65 l
+1.37 0.63 l
+1.38 0.63 l
+1.37 0.62 l
+1.38 0.61 l
+1.37 0.61 l
+1.38 0.61 l
+1.37 0.60 l
+1.37 0.61 l
+1.38 0.62 l
+1.37 0.61 l
+1.38 0.63 l
+1.37 0.63 l
+1.37 0.64 l
+1.38 0.65 l
+1.37 0.66 l
+1.38 0.67 l
+1.37 0.67 l
+1.38 0.69 l
+1.37 0.70 l
+1.37 0.70 l
+1.38 0.71 l
+1.37 0.72 l
+1.38 0.72 l
+1.37 0.73 l
+1.37 0.73 l
+1.38 0.73 l
+1.37 0.73 l
+1.38 0.72 l
+1.37 0.72 l
+1.38 0.72 l
+1.37 0.70 l
+1.37 0.69 l
+1.38 0.67 l
+1.37 0.66 l
+1.38 0.64 l
+1.37 0.62 l
+1.37 0.59 l
+1.38 0.56 l
+1.37 0.54 l
+1.38 0.51 l
+1.37 0.47 l
+1.38 0.43 l
+1.37 0.39 l
+1.37 0.35 l
+1.38 0.31 l
+1.37 0.27 l
+1.38 0.21 l
+1.37 0.16 l
+1.37 0.12 l
+1.38 0.07 l
+1.37 0.01 l
+1.38 -0.04 l
+496.35 180.48 lineto
+1.38 -0.15 l
+1.37 -0.20 l
+1.37 -0.25 l
+1.38 -0.31 l
+1.37 -0.37 l
+1.38 -0.41 l
+1.37 -0.46 l
+1.37 -0.51 l
+1.38 -0.56 l
+1.37 -0.61 l
+1.38 -0.65 l
+1.37 -0.68 l
+1.37 -0.73 l
+1.38 -0.76 l
+1.37 -0.80 l
+1.38 -0.83 l
+1.37 -0.87 l
+1.38 -0.88 l
+1.37 -0.91 l
+1.37 -0.94 l
+1.38 -0.95 l
+1.37 -0.98 l
+1.38 -0.99 l
+1.37 -1.00 l
+1.37 -1.01 l
+1.38 -1.03 l
+1.37 -1.03 l
+1.38 -1.04 l
+1.37 -1.04 l
+1.38 -1.05 l
+1.37 -1.05 l
+1.37 -1.06 l
+1.38 -1.05 l
+1.37 -1.05 l
+1.38 -1.05 l
+1.37 -1.06 l
+1.37 -1.04 l
+1.38 -1.05 l
+1.37 -1.04 l
+1.38 -1.04 l
+1.37 -1.03 l
+1.38 -1.03 l
+1.37 -1.02 l
+1.37 -1.01 l
+1.38 -1.01 l
+1.37 -1.01 l
+1.38 -0.99 l
+1.37 -0.98 l
+1.37 -0.98 l
+1.38 -0.97 l
+1.37 -0.96 l
+1.38 -0.95 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.93 l
+1.37 -0.92 l
+1.38 -0.91 l
+1.37 -0.90 l
+1.38 -0.89 l
+1.37 -0.89 l
+1.37 -0.89 l
+1.38 -0.89 l
+1.37 -0.88 l
+1.38 -0.88 l
+1.37 -0.89 l
+1.38 -0.89 l
+1.37 -0.89 l
+1.37 -0.89 l
+1.38 -0.91 l
+1.37 -0.91 l
+1.38 -0.93 l
+1.37 -0.93 l
+1.37 -0.94 l
+1.38 -0.96 l
+1.37 -0.98 l
+1.38 -0.98 l
+1.37 -1.00 l
+1.38 -1.02 l
+1.37 -1.02 l
+1.37 -1.05 l
+1.38 -1.05 l
+1.37 -1.06 l
+1.38 -1.07 l
+1.37 -1.08 l
+1.37 -1.09 l
+1.38 -1.09 l
+1.37 -1.09 l
+1.38 -1.09 l
+1.37 -1.09 l
+1.37 -1.07 l
+1.38 -1.07 l
+1.37 -1.06 l
+1.38 -1.05 l
+1.37 -1.03 l
+1.38 -1.00 l
+1.37 -0.99 l
+1.37 -0.96 l
+1.38 -0.93 l
+1.37 -0.91 l
+633.77 89.35 lineto
+1.37 -0.85 l
+1.37 -0.82 l
+1.38 -0.79 l
+1.37 -0.77 l
+1.38 -0.73 l
+1.37 -0.70 l
+1.38 -0.68 l
+1.37 -0.65 l
+1.37 -0.62 l
+1.38 -0.61 l
+1.37 -0.58 l
+1.38 -0.56 l
+1.37 -0.54 l
+1.37 -0.53 l
+1.38 -0.52 l
+1.37 -0.50 l
+1.38 -0.50 l
+1.37 -0.48 l
+1.38 -0.48 l
+1.37 -0.48 l
+1.37 -0.47 l
+1.38 -0.46 l
+1.37 -0.46 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.37 -0.45 l
+1.38 -0.45 l
+1.37 -0.44 l
+1.38 -0.43 l
+1.37 -0.43 l
+1.38 -0.42 l
+1.37 -0.41 l
+1.37 -0.40 l
+1.38 -0.39 l
+1.37 -0.38 l
+1.38 -0.37 l
+1.37 -0.36 l
+1.37 -0.34 l
+1.38 -0.32 l
+1.37 -0.32 l
+1.38 -0.30 l
+1.37 -0.29 l
+1.38 -0.28 l
+1.37 -0.26 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.20 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.17 l
+1.37 -0.17 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.17 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.13 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+771.18 60.87 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+251.61 56.02 m
+426.62 0 l
+o
+np
+251.61 56.02 m
+0 -2.38 l
+o
+np
+464.92 56.02 m
+0 -2.38 l
+o
+np
+678.23 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+251.61 42.71 (-0.05) .5 0 0 t
+464.92 42.71 (0.00) .5 0 0 t
+678.23 42.71 (0.05) .5 0 0 t
+np
+56.02 60.80 m
+0 94.18 l
+o
+np
+56.02 60.80 m
+-2.38 0 l
+o
+np
+56.02 92.20 m
+-2.38 0 l
+o
+np
+56.02 123.59 m
+-2.38 0 l
+o
+np
+56.02 154.98 m
+-2.38 0 l
+o
+48.41 60.80 (0) .5 0 90 t
+48.41 92.20 (5) .5 0 90 t
+48.41 123.59 (10) .5 0 90 t
+48.41 154.98 (15) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.80 m
+758.37 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 20 20
+bp
+75.60 355.24 809.49 548.48 cl
+75.60 355.24 809.49 548.48 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 362.39 m
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.32 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.32 0.06 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.06 l
+235.76 366.00 lineto
+1.33 0.06 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.12 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.17 l
+1.33 0.18 l
+1.33 0.20 l
+1.33 0.23 l
+1.33 0.24 l
+1.33 0.27 l
+1.33 0.29 l
+1.33 0.32 l
+1.33 0.34 l
+1.33 0.37 l
+1.33 0.39 l
+1.33 0.42 l
+1.33 0.45 l
+1.33 0.48 l
+1.33 0.50 l
+1.33 0.53 l
+1.33 0.55 l
+1.33 0.58 l
+1.33 0.62 l
+1.33 0.63 l
+1.33 0.67 l
+1.33 0.68 l
+1.33 0.71 l
+1.32 0.74 l
+1.33 0.76 l
+1.33 0.78 l
+1.33 0.81 l
+1.33 0.83 l
+1.33 0.85 l
+1.33 0.87 l
+1.33 0.89 l
+1.33 0.91 l
+1.33 0.93 l
+1.33 0.95 l
+1.33 0.97 l
+1.33 1.00 l
+1.33 1.00 l
+1.33 1.03 l
+1.33 1.04 l
+1.33 1.07 l
+1.33 1.08 l
+1.33 1.09 l
+1.33 1.11 l
+1.33 1.13 l
+1.33 1.14 l
+1.33 1.16 l
+1.33 1.17 l
+1.33 1.18 l
+1.33 1.19 l
+1.33 1.20 l
+1.33 1.20 l
+1.33 1.21 l
+1.33 1.22 l
+1.33 1.22 l
+1.33 1.22 l
+1.33 1.23 l
+1.33 1.22 l
+1.33 1.22 l
+1.33 1.21 l
+1.33 1.22 l
+1.33 1.20 l
+1.33 1.20 l
+1.33 1.19 l
+1.33 1.19 l
+1.33 1.18 l
+1.33 1.16 l
+1.33 1.16 l
+1.33 1.15 l
+1.33 1.14 l
+1.33 1.13 l
+1.33 1.12 l
+1.33 1.11 l
+1.33 1.10 l
+1.32 1.09 l
+1.33 1.09 l
+1.33 1.07 l
+1.33 1.07 l
+1.33 1.07 l
+1.33 1.05 l
+1.33 1.06 l
+1.33 1.05 l
+1.33 1.05 l
+1.33 1.05 l
+1.33 1.06 l
+1.33 1.06 l
+1.33 1.07 l
+1.33 1.08 l
+1.33 1.10 l
+1.33 1.12 l
+1.33 1.13 l
+1.33 1.16 l
+1.33 1.19 l
+368.74 452.46 lineto
+1.33 1.25 l
+1.33 1.28 l
+1.33 1.33 l
+1.33 1.37 l
+1.33 1.41 l
+1.33 1.46 l
+1.33 1.50 l
+1.33 1.54 l
+1.33 1.59 l
+1.33 1.64 l
+1.33 1.68 l
+1.33 1.71 l
+1.33 1.75 l
+1.33 1.78 l
+1.33 1.81 l
+1.33 1.83 l
+1.33 1.85 l
+1.33 1.87 l
+1.33 1.87 l
+1.33 1.87 l
+1.33 1.87 l
+1.33 1.87 l
+1.33 1.85 l
+1.33 1.83 l
+1.33 1.81 l
+1.33 1.78 l
+1.33 1.75 l
+1.33 1.73 l
+1.33 1.69 l
+1.32 1.65 l
+1.33 1.62 l
+1.33 1.58 l
+1.33 1.55 l
+1.33 1.52 l
+1.33 1.48 l
+1.33 1.43 l
+1.33 1.41 l
+1.33 1.37 l
+1.33 1.34 l
+1.33 1.31 l
+1.33 1.26 l
+1.33 1.23 l
+1.33 1.19 l
+1.33 1.16 l
+1.33 1.12 l
+1.33 1.06 l
+1.33 1.02 l
+1.33 0.97 l
+1.33 0.92 l
+1.33 0.87 l
+1.33 0.79 l
+1.33 0.74 l
+1.33 0.67 l
+1.33 0.61 l
+1.33 0.55 l
+1.33 0.47 l
+1.33 0.39 l
+1.33 0.34 l
+1.33 0.28 l
+1.33 0.21 l
+1.33 0.16 l
+1.33 0.10 l
+1.33 0.06 l
+1.33 0.02 l
+1.33 0 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.02 l
+1.33 0 l
+1.33 0.04 l
+1.33 0.07 l
+1.33 0.11 l
+1.33 0.16 l
+1.33 0.21 l
+1.33 0.26 l
+1.33 0.31 l
+1.32 0.36 l
+1.33 0.39 l
+1.33 0.44 l
+1.33 0.48 l
+1.33 0.50 l
+1.33 0.52 l
+1.33 0.53 l
+1.33 0.53 l
+1.33 0.53 l
+1.33 0.50 l
+1.33 0.47 l
+1.33 0.44 l
+1.33 0.39 l
+1.33 0.31 l
+1.33 0.25 l
+1.33 0.18 l
+1.33 0.10 l
+1.33 0.02 l
+1.33 -0.09 l
+1.33 -0.19 l
+501.72 540.76 lineto
+1.33 -0.37 l
+1.33 -0.47 l
+1.33 -0.56 l
+1.33 -0.66 l
+1.33 -0.74 l
+1.33 -0.82 l
+1.33 -0.88 l
+1.33 -0.94 l
+1.33 -1.01 l
+1.33 -1.05 l
+1.33 -1.08 l
+1.33 -1.11 l
+1.33 -1.12 l
+1.33 -1.14 l
+1.33 -1.14 l
+1.33 -1.13 l
+1.33 -1.12 l
+1.33 -1.10 l
+1.33 -1.09 l
+1.33 -1.05 l
+1.33 -1.04 l
+1.33 -1.01 l
+1.33 -0.99 l
+1.33 -0.96 l
+1.33 -0.94 l
+1.33 -0.94 l
+1.33 -0.92 l
+1.33 -0.92 l
+1.33 -0.92 l
+1.32 -0.94 l
+1.33 -0.95 l
+1.33 -0.98 l
+1.33 -1.01 l
+1.33 -1.05 l
+1.33 -1.11 l
+1.33 -1.15 l
+1.33 -1.22 l
+1.33 -1.27 l
+1.33 -1.33 l
+1.33 -1.42 l
+1.33 -1.49 l
+1.33 -1.57 l
+1.33 -1.63 l
+1.33 -1.70 l
+1.33 -1.77 l
+1.33 -1.85 l
+1.33 -1.91 l
+1.33 -1.97 l
+1.33 -2.01 l
+1.33 -2.07 l
+1.33 -2.11 l
+1.33 -2.14 l
+1.33 -2.17 l
+1.33 -2.18 l
+1.33 -2.20 l
+1.33 -2.20 l
+1.33 -2.19 l
+1.33 -2.18 l
+1.33 -2.16 l
+1.33 -2.14 l
+1.33 -2.10 l
+1.33 -2.06 l
+1.33 -2.02 l
+1.33 -1.97 l
+1.33 -1.92 l
+1.33 -1.86 l
+1.33 -1.80 l
+1.33 -1.73 l
+1.33 -1.68 l
+1.33 -1.62 l
+1.33 -1.55 l
+1.33 -1.48 l
+1.33 -1.43 l
+1.33 -1.37 l
+1.33 -1.31 l
+1.33 -1.26 l
+1.33 -1.21 l
+1.33 -1.16 l
+1.33 -1.12 l
+1.32 -1.08 l
+1.33 -1.06 l
+1.33 -1.02 l
+1.33 -1.00 l
+1.33 -0.98 l
+1.33 -0.96 l
+1.33 -0.96 l
+1.33 -0.95 l
+1.33 -0.94 l
+1.33 -0.95 l
+1.33 -0.95 l
+1.33 -0.95 l
+1.33 -0.97 l
+1.33 -0.98 l
+1.33 -0.98 l
+1.33 -1.00 l
+1.33 -1.01 l
+1.33 -1.02 l
+1.33 -1.04 l
+1.33 -1.05 l
+634.70 409.91 lineto
+1.33 -1.06 l
+1.33 -1.08 l
+1.33 -1.08 l
+1.33 -1.09 l
+1.33 -1.09 l
+1.33 -1.09 l
+1.33 -1.08 l
+1.33 -1.09 l
+1.33 -1.07 l
+1.33 -1.07 l
+1.33 -1.07 l
+1.33 -1.05 l
+1.33 -1.03 l
+1.33 -1.02 l
+1.33 -1.01 l
+1.33 -0.99 l
+1.33 -0.97 l
+1.33 -0.95 l
+1.33 -0.93 l
+1.33 -0.91 l
+1.33 -0.90 l
+1.33 -0.87 l
+1.33 -0.85 l
+1.33 -0.82 l
+1.33 -0.81 l
+1.33 -0.78 l
+1.33 -0.77 l
+1.33 -0.74 l
+1.33 -0.72 l
+1.32 -0.71 l
+1.33 -0.68 l
+1.33 -0.67 l
+1.33 -0.65 l
+1.33 -0.64 l
+1.33 -0.61 l
+1.33 -0.61 l
+1.33 -0.59 l
+1.33 -0.57 l
+1.33 -0.56 l
+1.33 -0.55 l
+1.33 -0.54 l
+1.33 -0.52 l
+1.33 -0.52 l
+1.33 -0.50 l
+1.33 -0.49 l
+1.33 -0.48 l
+1.33 -0.47 l
+1.33 -0.45 l
+1.33 -0.45 l
+1.33 -0.43 l
+1.33 -0.42 l
+1.33 -0.41 l
+1.33 -0.39 l
+1.33 -0.38 l
+1.33 -0.37 l
+1.33 -0.35 l
+1.33 -0.34 l
+1.33 -0.33 l
+1.33 -0.31 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.22 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.18 l
+1.33 -0.17 l
+1.33 -0.16 l
+1.33 -0.14 l
+1.33 -0.14 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.32 -0.09 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.06 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.01 l
+767.68 362.46 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+139.68 355.24 m
+590.33 0 l
+o
+np
+139.68 355.24 m
+0 -3.60 l
+o
+np
+238.07 355.24 m
+0 -3.60 l
+o
+np
+336.45 355.24 m
+0 -3.60 l
+o
+np
+434.84 355.24 m
+0 -3.60 l
+o
+np
+533.23 355.24 m
+0 -3.60 l
+o
+np
+631.62 355.24 m
+0 -3.60 l
+o
+np
+730.01 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+139.68 335.08 (9350) .5 0 0 t
+238.07 335.08 (9400) .5 0 0 t
+336.45 335.08 (9450) .5 0 0 t
+434.84 335.08 (9500) .5 0 0 t
+533.23 335.08 (9550) .5 0 0 t
+631.62 335.08 (9600) .5 0 0 t
+730.01 335.08 (9650) .5 0 0 t
+np
+75.60 362.39 m
+0 172.66 l
+o
+np
+75.60 362.39 m
+-3.60 0 l
+o
+np
+75.60 405.55 m
+-3.60 0 l
+o
+np
+75.60 448.72 m
+-3.60 0 l
+o
+np
+75.60 491.88 m
+-3.60 0 l
+o
+np
+75.60 535.05 m
+-3.60 0 l
+o
+64.08 362.39 (0.000) .5 0 90 t
+64.08 405.55 (0.002) .5 0 90 t
+64.08 448.72 (0.004) .5 0 90 t
+64.08 491.88 (0.006) .5 0 90 t
+64.08 535.05 (0.008) .5 0 90 t
+np
+75.60 355.24 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 451.86 (Density) .5 0 90 t
+75.60 355.24 809.49 548.48 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 362.39 m
+733.89 0 l
+o
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.32 0.08 l
+1.33 0.09 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.08 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.12 l
+1.32 0.14 l
+1.33 0.15 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.19 l
+1.33 0.20 l
+1.33 0.21 l
+1.33 0.22 l
+1.33 0.23 l
+1.33 0.24 l
+1.33 0.26 l
+1.33 0.27 l
+1.33 0.27 l
+1.33 0.29 l
+1.33 0.30 l
+1.33 0.30 l
+1.33 0.32 l
+1.33 0.32 l
+1.33 0.34 l
+235.76 92.31 lineto
+1.33 0.36 l
+1.33 0.36 l
+1.33 0.38 l
+1.33 0.38 l
+1.33 0.40 l
+1.33 0.41 l
+1.33 0.42 l
+1.33 0.44 l
+1.33 0.46 l
+1.33 0.47 l
+1.33 0.49 l
+1.33 0.51 l
+1.33 0.54 l
+1.33 0.55 l
+1.33 0.58 l
+1.33 0.61 l
+1.33 0.64 l
+1.33 0.67 l
+1.33 0.70 l
+1.33 0.73 l
+1.33 0.77 l
+1.33 0.81 l
+1.33 0.84 l
+1.33 0.88 l
+1.33 0.91 l
+1.33 0.97 l
+1.33 1.00 l
+1.33 1.05 l
+1.33 1.08 l
+1.33 1.12 l
+1.32 1.16 l
+1.33 1.21 l
+1.33 1.24 l
+1.33 1.27 l
+1.33 1.30 l
+1.33 1.35 l
+1.33 1.37 l
+1.33 1.40 l
+1.33 1.42 l
+1.33 1.45 l
+1.33 1.47 l
+1.33 1.48 l
+1.33 1.50 l
+1.33 1.50 l
+1.33 1.52 l
+1.33 1.52 l
+1.33 1.53 l
+1.33 1.53 l
+1.33 1.53 l
+1.33 1.53 l
+1.33 1.52 l
+1.33 1.53 l
+1.33 1.52 l
+1.33 1.52 l
+1.33 1.51 l
+1.33 1.52 l
+1.33 1.52 l
+1.33 1.51 l
+1.33 1.53 l
+1.33 1.52 l
+1.33 1.54 l
+1.33 1.56 l
+1.33 1.56 l
+1.33 1.59 l
+1.33 1.61 l
+1.33 1.64 l
+1.33 1.66 l
+1.33 1.71 l
+1.33 1.73 l
+1.33 1.78 l
+1.33 1.82 l
+1.33 1.87 l
+1.33 1.92 l
+1.33 1.96 l
+1.33 2.01 l
+1.33 2.06 l
+1.33 2.12 l
+1.33 2.15 l
+1.33 2.20 l
+1.33 2.24 l
+1.32 2.29 l
+1.33 2.31 l
+1.33 2.34 l
+1.33 2.36 l
+1.33 2.37 l
+1.33 2.37 l
+1.33 2.37 l
+1.33 2.36 l
+1.33 2.33 l
+1.33 2.30 l
+1.33 2.25 l
+1.33 2.19 l
+1.33 2.12 l
+1.33 2.06 l
+1.33 1.98 l
+1.33 1.87 l
+1.33 1.76 l
+1.33 1.66 l
+1.33 1.56 l
+368.74 234.34 lineto
+1.33 1.30 l
+1.33 1.17 l
+1.33 1.06 l
+1.33 0.94 l
+1.33 0.82 l
+1.33 0.69 l
+1.33 0.57 l
+1.33 0.48 l
+1.33 0.38 l
+1.33 0.30 l
+1.33 0.21 l
+1.33 0.13 l
+1.33 0.09 l
+1.33 0.04 l
+1.33 0 l
+1.33 -0.02 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 0.01 l
+1.33 0.05 l
+1.33 0.07 l
+1.33 0.12 l
+1.33 0.16 l
+1.33 0.21 l
+1.33 0.27 l
+1.33 0.31 l
+1.33 0.35 l
+1.32 0.40 l
+1.33 0.44 l
+1.33 0.49 l
+1.33 0.51 l
+1.33 0.55 l
+1.33 0.57 l
+1.33 0.58 l
+1.33 0.61 l
+1.33 0.61 l
+1.33 0.61 l
+1.33 0.62 l
+1.33 0.60 l
+1.33 0.60 l
+1.33 0.58 l
+1.33 0.57 l
+1.33 0.56 l
+1.33 0.53 l
+1.33 0.51 l
+1.33 0.49 l
+1.33 0.47 l
+1.33 0.46 l
+1.33 0.43 l
+1.33 0.41 l
+1.33 0.40 l
+1.33 0.38 l
+1.33 0.37 l
+1.33 0.35 l
+1.33 0.34 l
+1.33 0.33 l
+1.33 0.32 l
+1.33 0.31 l
+1.33 0.30 l
+1.33 0.29 l
+1.33 0.28 l
+1.33 0.27 l
+1.33 0.26 l
+1.33 0.24 l
+1.33 0.22 l
+1.33 0.21 l
+1.33 0.18 l
+1.33 0.17 l
+1.33 0.13 l
+1.33 0.10 l
+1.33 0.07 l
+1.33 0.04 l
+1.33 0 l
+1.33 -0.05 l
+1.33 -0.09 l
+1.33 -0.15 l
+1.33 -0.19 l
+1.32 -0.24 l
+1.33 -0.30 l
+1.33 -0.37 l
+1.33 -0.43 l
+1.33 -0.49 l
+1.33 -0.54 l
+1.33 -0.62 l
+1.33 -0.69 l
+1.33 -0.75 l
+1.33 -0.81 l
+1.33 -0.88 l
+1.33 -0.95 l
+1.33 -1.02 l
+1.33 -1.08 l
+1.33 -1.13 l
+1.33 -1.20 l
+1.33 -1.25 l
+1.33 -1.32 l
+1.33 -1.37 l
+1.33 -1.41 l
+501.72 242.90 lineto
+1.33 -1.50 l
+1.33 -1.54 l
+1.33 -1.57 l
+1.33 -1.59 l
+1.33 -1.61 l
+1.33 -1.64 l
+1.33 -1.65 l
+1.33 -1.65 l
+1.33 -1.66 l
+1.33 -1.66 l
+1.33 -1.65 l
+1.33 -1.65 l
+1.33 -1.62 l
+1.33 -1.61 l
+1.33 -1.59 l
+1.33 -1.57 l
+1.33 -1.53 l
+1.33 -1.51 l
+1.33 -1.48 l
+1.33 -1.44 l
+1.33 -1.41 l
+1.33 -1.37 l
+1.33 -1.34 l
+1.33 -1.31 l
+1.33 -1.27 l
+1.33 -1.23 l
+1.33 -1.20 l
+1.33 -1.17 l
+1.33 -1.14 l
+1.32 -1.11 l
+1.33 -1.09 l
+1.33 -1.06 l
+1.33 -1.04 l
+1.33 -1.02 l
+1.33 -1.00 l
+1.33 -1.00 l
+1.33 -0.98 l
+1.33 -0.97 l
+1.33 -0.97 l
+1.33 -0.97 l
+1.33 -0.97 l
+1.33 -0.98 l
+1.33 -0.99 l
+1.33 -1.00 l
+1.33 -1.01 l
+1.33 -1.02 l
+1.33 -1.05 l
+1.33 -1.07 l
+1.33 -1.09 l
+1.33 -1.11 l
+1.33 -1.14 l
+1.33 -1.17 l
+1.33 -1.19 l
+1.33 -1.21 l
+1.33 -1.25 l
+1.33 -1.26 l
+1.33 -1.30 l
+1.33 -1.31 l
+1.33 -1.34 l
+1.33 -1.35 l
+1.33 -1.37 l
+1.33 -1.39 l
+1.33 -1.39 l
+1.33 -1.41 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.40 l
+1.33 -1.40 l
+1.33 -1.38 l
+1.33 -1.37 l
+1.33 -1.36 l
+1.33 -1.34 l
+1.33 -1.33 l
+1.33 -1.30 l
+1.33 -1.29 l
+1.33 -1.28 l
+1.32 -1.26 l
+1.33 -1.24 l
+1.33 -1.22 l
+1.33 -1.20 l
+1.33 -1.19 l
+1.33 -1.18 l
+1.33 -1.16 l
+1.33 -1.14 l
+1.33 -1.13 l
+1.33 -1.12 l
+1.33 -1.10 l
+1.33 -1.09 l
+1.33 -1.08 l
+1.33 -1.06 l
+1.33 -1.06 l
+1.33 -1.04 l
+1.33 -1.02 l
+1.33 -1.02 l
+1.33 -0.99 l
+1.33 -0.99 l
+634.70 116.38 lineto
+1.33 -0.95 l
+1.33 -0.94 l
+1.33 -0.92 l
+1.33 -0.90 l
+1.33 -0.89 l
+1.33 -0.86 l
+1.33 -0.85 l
+1.33 -0.82 l
+1.33 -0.80 l
+1.33 -0.79 l
+1.33 -0.76 l
+1.33 -0.73 l
+1.33 -0.71 l
+1.33 -0.69 l
+1.33 -0.67 l
+1.33 -0.64 l
+1.33 -0.62 l
+1.33 -0.59 l
+1.33 -0.57 l
+1.33 -0.54 l
+1.33 -0.52 l
+1.33 -0.49 l
+1.33 -0.47 l
+1.33 -0.45 l
+1.33 -0.43 l
+1.33 -0.40 l
+1.33 -0.38 l
+1.33 -0.36 l
+1.33 -0.34 l
+1.32 -0.32 l
+1.33 -0.31 l
+1.33 -0.29 l
+1.33 -0.28 l
+1.33 -0.26 l
+1.33 -0.26 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.22 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.24 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.26 l
+1.33 -0.27 l
+1.33 -0.27 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.31 l
+1.33 -0.30 l
+1.33 -0.32 l
+1.33 -0.31 l
+1.33 -0.32 l
+1.33 -0.32 l
+1.33 -0.32 l
+1.33 -0.32 l
+1.33 -0.31 l
+1.33 -0.31 l
+1.33 -0.31 l
+1.33 -0.30 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.27 l
+1.33 -0.27 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.23 l
+1.33 -0.22 l
+1.33 -0.21 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.17 l
+1.33 -0.16 l
+1.33 -0.16 l
+1.32 -0.14 l
+1.33 -0.13 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+767.68 82.83 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+117.44 75.60 m
+586.57 0 l
+o
+np
+117.44 75.60 m
+0 -3.60 l
+o
+np
+234.76 75.60 m
+0 -3.60 l
+o
+np
+352.07 75.60 m
+0 -3.60 l
+o
+np
+469.38 75.60 m
+0 -3.60 l
+o
+np
+586.70 75.60 m
+0 -3.60 l
+o
+np
+704.01 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+117.44 55.44 (600) .5 0 0 t
+234.76 55.44 (700) .5 0 0 t
+352.07 55.44 (800) .5 0 0 t
+469.38 55.44 (900) .5 0 0 t
+586.70 55.44 (1000) .5 0 0 t
+704.01 55.44 (1100) .5 0 0 t
+np
+75.60 82.75 m
+0 154.06 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 121.26 m
+-3.60 0 l
+o
+np
+75.60 159.78 m
+-3.60 0 l
+o
+np
+75.60 198.29 m
+-3.60 0 l
+o
+np
+75.60 236.81 m
+-3.60 0 l
+o
+64.08 82.75 (0.000) .5 0 90 t
+64.08 159.78 (0.002) .5 0 90 t
+64.08 236.81 (0.004) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 21 21
+bp
+56.02 428.87 814.39 558.27 cl
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 433.66 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.06 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.09 l
+1.38 0.11 l
+1.37 0.11 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.14 l
+1.38 0.15 l
+1.37 0.15 l
+1.37 0.17 l
+1.38 0.17 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.19 l
+1.38 0.21 l
+1.37 0.21 l
+1.37 0.21 l
+1.38 0.23 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.24 l
+1.37 0.24 l
+1.38 0.24 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.26 l
+1.37 0.26 l
+1.38 0.27 l
+1.37 0.26 l
+1.38 0.28 l
+1.37 0.27 l
+1.37 0.28 l
+1.38 0.28 l
+1.37 0.29 l
+1.38 0.29 l
+1.37 0.29 l
+1.38 0.31 l
+221.52 444.24 lineto
+1.37 0.31 l
+1.38 0.33 l
+1.37 0.33 l
+1.38 0.34 l
+1.37 0.36 l
+1.37 0.36 l
+1.38 0.37 l
+1.37 0.38 l
+1.38 0.39 l
+1.37 0.41 l
+1.38 0.41 l
+1.37 0.43 l
+1.37 0.43 l
+1.38 0.44 l
+1.37 0.45 l
+1.38 0.47 l
+1.37 0.47 l
+1.37 0.48 l
+1.38 0.49 l
+1.37 0.50 l
+1.38 0.50 l
+1.37 0.52 l
+1.38 0.52 l
+1.37 0.53 l
+1.37 0.54 l
+1.38 0.56 l
+1.37 0.56 l
+1.38 0.58 l
+1.37 0.59 l
+1.37 0.60 l
+1.38 0.62 l
+1.37 0.64 l
+1.38 0.67 l
+1.37 0.68 l
+1.37 0.70 l
+1.38 0.73 l
+1.37 0.76 l
+1.38 0.79 l
+1.37 0.83 l
+1.38 0.85 l
+1.37 0.88 l
+1.37 0.92 l
+1.38 0.96 l
+1.37 1.00 l
+1.38 1.03 l
+1.37 1.07 l
+1.37 1.10 l
+1.38 1.14 l
+1.37 1.19 l
+1.38 1.21 l
+1.37 1.25 l
+1.38 1.28 l
+1.37 1.32 l
+1.37 1.34 l
+1.38 1.37 l
+1.37 1.40 l
+1.38 1.41 l
+1.37 1.43 l
+1.37 1.44 l
+1.38 1.46 l
+1.37 1.46 l
+1.38 1.46 l
+1.37 1.46 l
+1.38 1.45 l
+1.37 1.44 l
+1.37 1.42 l
+1.38 1.41 l
+1.37 1.37 l
+1.38 1.35 l
+1.37 1.31 l
+1.37 1.26 l
+1.38 1.23 l
+1.37 1.18 l
+1.38 1.13 l
+1.37 1.07 l
+1.38 1.00 l
+1.37 0.96 l
+1.37 0.89 l
+1.38 0.83 l
+1.37 0.77 l
+1.38 0.70 l
+1.37 0.64 l
+1.37 0.59 l
+1.38 0.53 l
+1.37 0.48 l
+1.38 0.42 l
+1.37 0.38 l
+1.38 0.33 l
+1.37 0.31 l
+1.37 0.27 l
+1.38 0.26 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.23 l
+1.37 0.23 l
+1.38 0.25 l
+1.37 0.27 l
+1.38 0.30 l
+1.37 0.33 l
+358.94 521.16 lineto
+1.37 0.41 l
+1.37 0.47 l
+1.38 0.52 l
+1.37 0.58 l
+1.38 0.64 l
+1.37 0.70 l
+1.37 0.75 l
+1.38 0.83 l
+1.37 0.89 l
+1.38 0.94 l
+1.37 0.99 l
+1.38 1.04 l
+1.37 1.09 l
+1.37 1.13 l
+1.38 1.17 l
+1.37 1.18 l
+1.38 1.21 l
+1.37 1.22 l
+1.37 1.22 l
+1.38 1.22 l
+1.37 1.20 l
+1.38 1.19 l
+1.37 1.16 l
+1.37 1.12 l
+1.38 1.08 l
+1.37 1.03 l
+1.38 0.97 l
+1.37 0.93 l
+1.38 0.85 l
+1.37 0.78 l
+1.37 0.71 l
+1.38 0.65 l
+1.37 0.57 l
+1.38 0.50 l
+1.37 0.41 l
+1.37 0.34 l
+1.38 0.26 l
+1.37 0.20 l
+1.38 0.12 l
+1.37 0.04 l
+1.38 -0.02 l
+1.37 -0.09 l
+1.37 -0.15 l
+1.38 -0.20 l
+1.37 -0.27 l
+1.38 -0.33 l
+1.37 -0.37 l
+1.37 -0.42 l
+1.38 -0.46 l
+1.37 -0.51 l
+1.38 -0.54 l
+1.37 -0.58 l
+1.38 -0.62 l
+1.37 -0.63 l
+1.37 -0.67 l
+1.38 -0.69 l
+1.37 -0.71 l
+1.38 -0.72 l
+1.37 -0.74 l
+1.37 -0.75 l
+1.38 -0.77 l
+1.37 -0.77 l
+1.38 -0.78 l
+1.37 -0.79 l
+1.38 -0.79 l
+1.37 -0.79 l
+1.37 -0.80 l
+1.38 -0.80 l
+1.37 -0.80 l
+1.38 -0.81 l
+1.37 -0.80 l
+1.37 -0.81 l
+1.38 -0.82 l
+1.37 -0.82 l
+1.38 -0.82 l
+1.37 -0.83 l
+1.38 -0.83 l
+1.37 -0.85 l
+1.37 -0.85 l
+1.38 -0.86 l
+1.37 -0.87 l
+1.38 -0.88 l
+1.37 -0.89 l
+1.37 -0.90 l
+1.38 -0.92 l
+1.37 -0.92 l
+1.38 -0.94 l
+1.37 -0.94 l
+1.38 -0.95 l
+1.37 -0.97 l
+1.37 -0.97 l
+1.38 -0.98 l
+1.37 -0.98 l
+1.38 -0.99 l
+1.37 -1.00 l
+1.37 -1.00 l
+1.38 -1.00 l
+1.37 -1.01 l
+1.38 -1.01 l
+496.35 508.67 lineto
+1.38 -1.01 l
+1.37 -1.02 l
+1.37 -1.02 l
+1.38 -1.03 l
+1.37 -1.03 l
+1.38 -1.03 l
+1.37 -1.04 l
+1.37 -1.05 l
+1.38 -1.05 l
+1.37 -1.07 l
+1.38 -1.07 l
+1.37 -1.08 l
+1.37 -1.09 l
+1.38 -1.10 l
+1.37 -1.11 l
+1.38 -1.13 l
+1.37 -1.13 l
+1.38 -1.14 l
+1.37 -1.15 l
+1.37 -1.15 l
+1.38 -1.16 l
+1.37 -1.17 l
+1.38 -1.16 l
+1.37 -1.16 l
+1.37 -1.16 l
+1.38 -1.14 l
+1.37 -1.14 l
+1.38 -1.12 l
+1.37 -1.10 l
+1.38 -1.09 l
+1.37 -1.07 l
+1.37 -1.03 l
+1.38 -1.01 l
+1.37 -0.97 l
+1.38 -0.95 l
+1.37 -0.91 l
+1.37 -0.88 l
+1.38 -0.84 l
+1.37 -0.80 l
+1.38 -0.76 l
+1.37 -0.74 l
+1.38 -0.69 l
+1.37 -0.66 l
+1.37 -0.62 l
+1.38 -0.59 l
+1.37 -0.56 l
+1.38 -0.53 l
+1.37 -0.49 l
+1.37 -0.47 l
+1.38 -0.45 l
+1.37 -0.43 l
+1.38 -0.40 l
+1.37 -0.39 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.37 -0.34 l
+1.38 -0.33 l
+1.37 -0.31 l
+1.38 -0.31 l
+1.37 -0.30 l
+1.37 -0.30 l
+1.38 -0.29 l
+1.37 -0.30 l
+1.38 -0.29 l
+1.37 -0.29 l
+1.38 -0.30 l
+1.37 -0.30 l
+1.37 -0.31 l
+1.38 -0.32 l
+1.37 -0.32 l
+1.38 -0.33 l
+1.37 -0.35 l
+1.37 -0.35 l
+1.38 -0.36 l
+1.37 -0.38 l
+1.38 -0.39 l
+1.37 -0.40 l
+1.38 -0.41 l
+1.37 -0.43 l
+1.37 -0.43 l
+1.38 -0.45 l
+1.37 -0.45 l
+1.38 -0.46 l
+1.37 -0.47 l
+1.37 -0.47 l
+1.38 -0.48 l
+1.37 -0.49 l
+1.38 -0.48 l
+1.37 -0.48 l
+1.37 -0.49 l
+1.38 -0.48 l
+1.37 -0.47 l
+1.38 -0.47 l
+1.37 -0.47 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.37 -0.44 l
+1.38 -0.43 l
+1.37 -0.42 l
+633.77 441.17 lineto
+1.37 -0.40 l
+1.37 -0.38 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.38 -0.34 l
+1.37 -0.32 l
+1.38 -0.31 l
+1.37 -0.29 l
+1.37 -0.27 l
+1.38 -0.26 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.22 l
+1.37 -0.19 l
+1.38 -0.19 l
+1.37 -0.17 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.08 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+771.18 433.70 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+212.49 428.87 m
+470.24 0 l
+o
+np
+212.49 428.87 m
+0 -2.38 l
+o
+np
+447.61 428.87 m
+0 -2.38 l
+o
+np
+682.73 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+212.49 415.56 (5.0) .5 0 0 t
+447.61 415.56 (5.5) .5 0 0 t
+682.73 415.56 (6.0) .5 0 0 t
+np
+56.02 433.65 m
+0 109.37 l
+o
+np
+56.02 433.65 m
+-2.38 0 l
+o
+np
+56.02 461.00 m
+-2.38 0 l
+o
+np
+56.02 488.34 m
+-2.38 0 l
+o
+np
+56.02 515.68 m
+-2.38 0 l
+o
+np
+56.02 543.02 m
+-2.38 0 l
+o
+48.41 433.65 (0.0) .5 0 90 t
+48.41 461.00 (0.5) .5 0 90 t
+48.41 488.34 (1.0) .5 0 90 t
+48.41 515.68 (1.5) .5 0 90 t
+48.41 543.02 (2.0) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 493.57 (Density) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 433.65 m
+758.37 0 l
+o
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 247.24 m
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.06 l
+1.37 0.06 l
+1.38 0.07 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.09 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.09 l
+1.38 0.08 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.07 l
+1.38 0.06 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.07 l
+1.37 0.07 l
+1.37 0.08 l
+1.38 0.09 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.10 l
+1.37 0.10 l
+1.38 0.11 l
+1.37 0.11 l
+1.38 0.10 l
+1.37 0.11 l
+1.38 0.11 l
+1.37 0.11 l
+1.37 0.10 l
+1.38 0.11 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.10 l
+221.52 252.34 lineto
+1.37 0.11 l
+1.38 0.12 l
+1.37 0.13 l
+1.38 0.13 l
+1.37 0.14 l
+1.37 0.16 l
+1.38 0.17 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.21 l
+1.38 0.22 l
+1.37 0.24 l
+1.37 0.26 l
+1.38 0.28 l
+1.37 0.29 l
+1.38 0.31 l
+1.37 0.33 l
+1.37 0.34 l
+1.38 0.37 l
+1.37 0.37 l
+1.38 0.40 l
+1.37 0.40 l
+1.38 0.43 l
+1.37 0.43 l
+1.37 0.45 l
+1.38 0.45 l
+1.37 0.47 l
+1.38 0.47 l
+1.37 0.48 l
+1.37 0.49 l
+1.38 0.49 l
+1.37 0.50 l
+1.38 0.50 l
+1.37 0.51 l
+1.37 0.50 l
+1.38 0.51 l
+1.37 0.51 l
+1.38 0.51 l
+1.37 0.51 l
+1.38 0.52 l
+1.37 0.51 l
+1.37 0.51 l
+1.38 0.51 l
+1.37 0.52 l
+1.38 0.51 l
+1.37 0.51 l
+1.37 0.51 l
+1.38 0.50 l
+1.37 0.51 l
+1.38 0.50 l
+1.37 0.50 l
+1.38 0.50 l
+1.37 0.49 l
+1.37 0.49 l
+1.38 0.49 l
+1.37 0.48 l
+1.38 0.48 l
+1.37 0.49 l
+1.37 0.48 l
+1.38 0.48 l
+1.37 0.49 l
+1.38 0.48 l
+1.37 0.50 l
+1.38 0.50 l
+1.37 0.52 l
+1.37 0.53 l
+1.38 0.55 l
+1.37 0.56 l
+1.38 0.59 l
+1.37 0.61 l
+1.37 0.64 l
+1.38 0.67 l
+1.37 0.70 l
+1.38 0.72 l
+1.37 0.76 l
+1.38 0.80 l
+1.37 0.83 l
+1.37 0.87 l
+1.38 0.89 l
+1.37 0.92 l
+1.38 0.96 l
+1.37 0.99 l
+1.37 1.00 l
+1.38 1.03 l
+1.37 1.05 l
+1.38 1.06 l
+1.37 1.08 l
+1.38 1.08 l
+1.37 1.09 l
+1.37 1.08 l
+1.38 1.09 l
+1.37 1.07 l
+1.38 1.06 l
+1.37 1.05 l
+1.37 1.04 l
+1.38 1.02 l
+1.37 0.99 l
+1.38 0.97 l
+1.37 0.94 l
+358.94 310.10 lineto
+1.37 0.90 l
+1.37 0.87 l
+1.38 0.85 l
+1.37 0.83 l
+1.38 0.80 l
+1.37 0.79 l
+1.37 0.78 l
+1.38 0.75 l
+1.37 0.75 l
+1.38 0.74 l
+1.37 0.74 l
+1.38 0.73 l
+1.37 0.74 l
+1.37 0.74 l
+1.38 0.75 l
+1.37 0.77 l
+1.38 0.78 l
+1.37 0.79 l
+1.37 0.82 l
+1.38 0.85 l
+1.37 0.87 l
+1.38 0.89 l
+1.37 0.92 l
+1.37 0.96 l
+1.38 0.98 l
+1.37 1.01 l
+1.38 1.03 l
+1.37 1.06 l
+1.38 1.09 l
+1.37 1.11 l
+1.37 1.13 l
+1.38 1.14 l
+1.37 1.15 l
+1.38 1.16 l
+1.37 1.16 l
+1.37 1.16 l
+1.38 1.16 l
+1.37 1.14 l
+1.38 1.13 l
+1.37 1.11 l
+1.38 1.08 l
+1.37 1.06 l
+1.37 1.03 l
+1.38 0.99 l
+1.37 0.96 l
+1.38 0.91 l
+1.37 0.87 l
+1.37 0.83 l
+1.38 0.80 l
+1.37 0.76 l
+1.38 0.70 l
+1.37 0.67 l
+1.38 0.64 l
+1.37 0.60 l
+1.37 0.58 l
+1.38 0.53 l
+1.37 0.51 l
+1.38 0.49 l
+1.37 0.47 l
+1.37 0.44 l
+1.38 0.43 l
+1.37 0.41 l
+1.38 0.39 l
+1.37 0.38 l
+1.38 0.37 l
+1.37 0.36 l
+1.37 0.34 l
+1.38 0.32 l
+1.37 0.31 l
+1.38 0.29 l
+1.37 0.27 l
+1.37 0.25 l
+1.38 0.21 l
+1.37 0.19 l
+1.38 0.15 l
+1.37 0.12 l
+1.38 0.08 l
+1.37 0.03 l
+1.37 -0.02 l
+1.38 -0.07 l
+1.37 -0.12 l
+1.38 -0.17 l
+1.37 -0.23 l
+1.37 -0.30 l
+1.38 -0.36 l
+1.37 -0.42 l
+1.38 -0.47 l
+1.37 -0.53 l
+1.38 -0.60 l
+1.37 -0.66 l
+1.37 -0.70 l
+1.38 -0.75 l
+1.37 -0.81 l
+1.38 -0.85 l
+1.37 -0.89 l
+1.37 -0.93 l
+1.38 -0.97 l
+1.37 -0.99 l
+1.38 -1.02 l
+496.35 354.14 lineto
+1.38 -1.06 l
+1.37 -1.09 l
+1.37 -1.09 l
+1.38 -1.11 l
+1.37 -1.12 l
+1.38 -1.13 l
+1.37 -1.14 l
+1.37 -1.14 l
+1.38 -1.15 l
+1.37 -1.16 l
+1.38 -1.16 l
+1.37 -1.16 l
+1.37 -1.17 l
+1.38 -1.17 l
+1.37 -1.17 l
+1.38 -1.18 l
+1.37 -1.17 l
+1.38 -1.18 l
+1.37 -1.17 l
+1.37 -1.17 l
+1.38 -1.17 l
+1.37 -1.16 l
+1.38 -1.15 l
+1.37 -1.13 l
+1.37 -1.13 l
+1.38 -1.11 l
+1.37 -1.09 l
+1.38 -1.08 l
+1.37 -1.05 l
+1.38 -1.03 l
+1.37 -1.02 l
+1.37 -0.98 l
+1.38 -0.97 l
+1.37 -0.94 l
+1.38 -0.93 l
+1.37 -0.90 l
+1.37 -0.89 l
+1.38 -0.87 l
+1.37 -0.86 l
+1.38 -0.86 l
+1.37 -0.84 l
+1.38 -0.85 l
+1.37 -0.85 l
+1.37 -0.85 l
+1.38 -0.86 l
+1.37 -0.87 l
+1.38 -0.88 l
+1.37 -0.89 l
+1.37 -0.92 l
+1.38 -0.93 l
+1.37 -0.95 l
+1.38 -0.97 l
+1.37 -0.99 l
+1.38 -1.00 l
+1.37 -1.03 l
+1.37 -1.03 l
+1.38 -1.05 l
+1.37 -1.06 l
+1.38 -1.06 l
+1.37 -1.07 l
+1.37 -1.07 l
+1.38 -1.07 l
+1.37 -1.06 l
+1.38 -1.05 l
+1.37 -1.04 l
+1.38 -1.03 l
+1.37 -1.00 l
+1.37 -0.99 l
+1.38 -0.97 l
+1.37 -0.93 l
+1.38 -0.92 l
+1.37 -0.88 l
+1.37 -0.86 l
+1.38 -0.84 l
+1.37 -0.80 l
+1.38 -0.77 l
+1.37 -0.75 l
+1.38 -0.73 l
+1.37 -0.70 l
+1.37 -0.67 l
+1.38 -0.65 l
+1.37 -0.63 l
+1.38 -0.61 l
+1.37 -0.60 l
+1.37 -0.58 l
+1.38 -0.56 l
+1.37 -0.55 l
+1.38 -0.54 l
+1.37 -0.53 l
+1.37 -0.52 l
+1.38 -0.52 l
+1.37 -0.51 l
+1.38 -0.50 l
+1.37 -0.50 l
+1.38 -0.49 l
+1.37 -0.49 l
+1.37 -0.49 l
+1.38 -0.48 l
+1.37 -0.48 l
+633.77 263.14 lineto
+1.37 -0.47 l
+1.37 -0.46 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.38 -0.44 l
+1.37 -0.44 l
+1.38 -0.42 l
+1.37 -0.42 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.38 l
+1.38 -0.38 l
+1.37 -0.37 l
+1.37 -0.36 l
+1.38 -0.35 l
+1.37 -0.33 l
+1.38 -0.33 l
+1.37 -0.32 l
+1.38 -0.32 l
+1.37 -0.30 l
+1.37 -0.30 l
+1.38 -0.29 l
+1.37 -0.29 l
+1.38 -0.27 l
+1.37 -0.28 l
+1.37 -0.26 l
+1.38 -0.27 l
+1.37 -0.25 l
+1.38 -0.26 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.24 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.19 l
+1.37 -0.19 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.37 -0.11 l
+1.38 -0.11 l
+1.37 -0.09 l
+1.38 -0.09 l
+1.37 -0.08 l
+1.37 -0.07 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+771.18 247.30 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+112.97 242.44 m
+662.52 0 l
+o
+np
+112.97 242.44 m
+0 -2.37 l
+o
+np
+278.60 242.44 m
+0 -2.37 l
+o
+np
+444.23 242.44 m
+0 -2.37 l
+o
+np
+609.86 242.44 m
+0 -2.37 l
+o
+np
+775.49 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+112.97 229.14 (-5) .5 0 0 t
+278.60 229.14 (0) .5 0 0 t
+444.23 229.14 (5) .5 0 0 t
+609.86 229.14 (10) .5 0 0 t
+775.49 229.14 (15) .5 0 0 t
+np
+56.02 247.22 m
+0 117.55 l
+o
+np
+56.02 247.22 m
+-2.38 0 l
+o
+np
+56.02 286.41 m
+-2.38 0 l
+o
+np
+56.02 325.59 m
+-2.38 0 l
+o
+np
+56.02 364.77 m
+-2.38 0 l
+o
+48.41 247.22 (0.00) .5 0 90 t
+48.41 286.41 (0.05) .5 0 90 t
+48.41 325.59 (0.10) .5 0 90 t
+48.41 364.77 (0.15) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.22 m
+758.37 0 l
+o
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 60.81 m
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.07 l
+1.37 0.06 l
+1.38 0.08 l
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.11 l
+1.38 0.12 l
+221.52 61.91 lineto
+1.37 0.15 l
+1.38 0.15 l
+1.37 0.17 l
+1.38 0.18 l
+1.37 0.19 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.23 l
+1.38 0.24 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.27 l
+1.37 0.27 l
+1.38 0.28 l
+1.37 0.29 l
+1.38 0.28 l
+1.37 0.29 l
+1.37 0.29 l
+1.38 0.29 l
+1.37 0.29 l
+1.38 0.28 l
+1.37 0.28 l
+1.38 0.28 l
+1.37 0.27 l
+1.37 0.27 l
+1.38 0.25 l
+1.37 0.25 l
+1.38 0.25 l
+1.37 0.24 l
+1.37 0.23 l
+1.38 0.22 l
+1.37 0.23 l
+1.38 0.21 l
+1.37 0.22 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.20 l
+1.38 0.21 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.21 l
+1.37 0.21 l
+1.38 0.21 l
+1.37 0.22 l
+1.38 0.22 l
+1.37 0.23 l
+1.37 0.23 l
+1.38 0.23 l
+1.37 0.24 l
+1.38 0.24 l
+1.37 0.25 l
+1.38 0.24 l
+1.37 0.26 l
+1.37 0.25 l
+1.38 0.26 l
+1.37 0.27 l
+1.38 0.26 l
+1.37 0.28 l
+1.37 0.28 l
+1.38 0.28 l
+1.37 0.29 l
+1.38 0.29 l
+1.37 0.30 l
+1.38 0.32 l
+1.37 0.31 l
+1.37 0.33 l
+1.38 0.33 l
+1.37 0.34 l
+1.38 0.35 l
+1.37 0.36 l
+1.37 0.37 l
+1.38 0.38 l
+1.37 0.38 l
+1.38 0.39 l
+1.37 0.40 l
+1.38 0.40 l
+1.37 0.40 l
+1.37 0.41 l
+1.38 0.41 l
+1.37 0.41 l
+1.38 0.42 l
+1.37 0.40 l
+1.37 0.41 l
+1.38 0.40 l
+1.37 0.40 l
+1.38 0.39 l
+1.37 0.38 l
+1.38 0.38 l
+1.37 0.37 l
+1.37 0.36 l
+1.38 0.36 l
+1.37 0.35 l
+1.38 0.34 l
+1.37 0.34 l
+1.37 0.33 l
+1.38 0.34 l
+1.37 0.33 l
+1.38 0.34 l
+1.37 0.34 l
+358.94 90.81 lineto
+1.37 0.36 l
+1.37 0.38 l
+1.38 0.40 l
+1.37 0.43 l
+1.38 0.45 l
+1.37 0.48 l
+1.37 0.52 l
+1.38 0.56 l
+1.37 0.61 l
+1.38 0.65 l
+1.37 0.70 l
+1.38 0.75 l
+1.37 0.82 l
+1.37 0.88 l
+1.38 0.93 l
+1.37 1.00 l
+1.38 1.05 l
+1.37 1.12 l
+1.37 1.19 l
+1.38 1.24 l
+1.37 1.30 l
+1.38 1.35 l
+1.37 1.40 l
+1.37 1.46 l
+1.38 1.50 l
+1.37 1.53 l
+1.38 1.56 l
+1.37 1.58 l
+1.38 1.61 l
+1.37 1.62 l
+1.37 1.63 l
+1.38 1.63 l
+1.37 1.62 l
+1.38 1.61 l
+1.37 1.60 l
+1.37 1.57 l
+1.38 1.55 l
+1.37 1.52 l
+1.38 1.49 l
+1.37 1.45 l
+1.38 1.41 l
+1.37 1.38 l
+1.37 1.33 l
+1.38 1.30 l
+1.37 1.25 l
+1.38 1.21 l
+1.37 1.18 l
+1.37 1.14 l
+1.38 1.10 l
+1.37 1.07 l
+1.38 1.03 l
+1.37 1.01 l
+1.38 0.98 l
+1.37 0.96 l
+1.37 0.94 l
+1.38 0.91 l
+1.37 0.90 l
+1.38 0.89 l
+1.37 0.88 l
+1.37 0.86 l
+1.38 0.86 l
+1.37 0.85 l
+1.38 0.85 l
+1.37 0.84 l
+1.38 0.84 l
+1.37 0.84 l
+1.37 0.84 l
+1.38 0.83 l
+1.37 0.83 l
+1.38 0.83 l
+1.37 0.82 l
+1.37 0.81 l
+1.38 0.81 l
+1.37 0.80 l
+1.38 0.79 l
+1.37 0.77 l
+1.38 0.76 l
+1.37 0.74 l
+1.37 0.73 l
+1.38 0.70 l
+1.37 0.67 l
+1.38 0.65 l
+1.37 0.63 l
+1.37 0.59 l
+1.38 0.55 l
+1.37 0.53 l
+1.38 0.49 l
+1.37 0.46 l
+1.38 0.41 l
+1.37 0.37 l
+1.37 0.33 l
+1.38 0.30 l
+1.37 0.25 l
+1.38 0.21 l
+1.37 0.16 l
+1.37 0.12 l
+1.38 0.09 l
+1.37 0.03 l
+1.38 0 l
+496.35 180.57 lineto
+1.38 -0.09 l
+1.37 -0.14 l
+1.37 -0.17 l
+1.38 -0.22 l
+1.37 -0.26 l
+1.38 -0.31 l
+1.37 -0.35 l
+1.37 -0.40 l
+1.38 -0.43 l
+1.37 -0.48 l
+1.38 -0.52 l
+1.37 -0.58 l
+1.37 -0.61 l
+1.38 -0.66 l
+1.37 -0.70 l
+1.38 -0.74 l
+1.37 -0.80 l
+1.38 -0.84 l
+1.37 -0.89 l
+1.37 -0.92 l
+1.38 -0.96 l
+1.37 -1.02 l
+1.38 -1.05 l
+1.37 -1.09 l
+1.37 -1.12 l
+1.38 -1.15 l
+1.37 -1.18 l
+1.38 -1.21 l
+1.37 -1.22 l
+1.38 -1.25 l
+1.37 -1.26 l
+1.37 -1.27 l
+1.38 -1.27 l
+1.37 -1.27 l
+1.38 -1.27 l
+1.37 -1.26 l
+1.37 -1.25 l
+1.38 -1.23 l
+1.37 -1.21 l
+1.38 -1.18 l
+1.37 -1.17 l
+1.38 -1.13 l
+1.37 -1.11 l
+1.37 -1.07 l
+1.38 -1.04 l
+1.37 -1.00 l
+1.38 -0.98 l
+1.37 -0.94 l
+1.37 -0.91 l
+1.38 -0.88 l
+1.37 -0.85 l
+1.38 -0.82 l
+1.37 -0.80 l
+1.38 -0.77 l
+1.37 -0.74 l
+1.37 -0.73 l
+1.38 -0.71 l
+1.37 -0.69 l
+1.38 -0.67 l
+1.37 -0.66 l
+1.37 -0.65 l
+1.38 -0.64 l
+1.37 -0.62 l
+1.38 -0.62 l
+1.37 -0.61 l
+1.38 -0.60 l
+1.37 -0.60 l
+1.37 -0.59 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.38 -0.58 l
+1.37 -0.57 l
+1.37 -0.58 l
+1.38 -0.57 l
+1.37 -0.57 l
+1.38 -0.58 l
+1.37 -0.58 l
+1.38 -0.58 l
+1.37 -0.59 l
+1.37 -0.60 l
+1.38 -0.61 l
+1.37 -0.62 l
+1.38 -0.64 l
+1.37 -0.65 l
+1.37 -0.68 l
+1.38 -0.69 l
+1.37 -0.72 l
+1.38 -0.74 l
+1.37 -0.77 l
+1.37 -0.79 l
+1.38 -0.82 l
+1.37 -0.85 l
+1.38 -0.87 l
+1.37 -0.91 l
+1.38 -0.92 l
+1.37 -0.96 l
+1.37 -0.97 l
+1.38 -0.99 l
+1.37 -1.02 l
+633.77 100.92 lineto
+1.37 -1.04 l
+1.37 -1.05 l
+1.38 -1.06 l
+1.37 -1.06 l
+1.38 -1.07 l
+1.37 -1.06 l
+1.38 -1.05 l
+1.37 -1.05 l
+1.37 -1.03 l
+1.38 -1.02 l
+1.37 -1.00 l
+1.38 -0.99 l
+1.37 -0.96 l
+1.37 -0.95 l
+1.38 -0.91 l
+1.37 -0.89 l
+1.38 -0.86 l
+1.37 -0.84 l
+1.38 -0.81 l
+1.37 -0.78 l
+1.37 -0.75 l
+1.38 -0.72 l
+1.37 -0.69 l
+1.38 -0.67 l
+1.37 -0.63 l
+1.37 -0.61 l
+1.38 -0.58 l
+1.37 -0.56 l
+1.38 -0.53 l
+1.37 -0.50 l
+1.38 -0.49 l
+1.37 -0.45 l
+1.37 -0.44 l
+1.38 -0.41 l
+1.37 -0.40 l
+1.38 -0.38 l
+1.37 -0.36 l
+1.37 -0.34 l
+1.38 -0.32 l
+1.37 -0.32 l
+1.38 -0.30 l
+1.37 -0.28 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.37 -0.25 l
+1.38 -0.25 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.23 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.38 -0.22 l
+1.37 -0.22 l
+1.37 -0.22 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.38 -0.21 l
+1.37 -0.20 l
+1.37 -0.20 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.37 -0.17 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.08 l
+1.38 -0.09 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+771.18 60.92 lineto
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+233.27 56.02 m
+387.53 0 l
+o
+np
+233.27 56.02 m
+0 -2.38 l
+o
+np
+427.04 56.02 m
+0 -2.38 l
+o
+np
+620.80 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+233.27 42.71 (-1.5) .5 0 0 t
+427.04 42.71 (-1.0) .5 0 0 t
+620.80 42.71 (-0.5) .5 0 0 t
+np
+56.02 60.80 m
+0 99.36 l
+o
+np
+56.02 60.80 m
+-2.38 0 l
+o
+np
+56.02 93.92 m
+-2.38 0 l
+o
+np
+56.02 127.04 m
+-2.38 0 l
+o
+np
+56.02 160.16 m
+-2.38 0 l
+o
+48.41 60.80 (0.0) .5 0 90 t
+48.41 93.92 (0.5) .5 0 90 t
+48.41 127.04 (1.0) .5 0 90 t
+48.41 160.16 (1.5) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.80 m
+758.37 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 22 22
+bp
+18.00 390.85 823.89 577.28 cl
+18.00 390.85 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+56.02 433.66 457.53 26.05 r p3
+/bg { 0.5020 1 0 rgb } def
+56.02 464.92 659.45 26.05 r p3
+/bg { 0 1 1 rgb } def
+56.02 496.17 140.58 26.05 r p3
+/bg { 0.5020 0 1 rgb } def
+56.02 527.43 20.45 26.05 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+50.31 443.81 (Y=1) 1 0 0 t
+50.31 475.07 (Y=2) 1 0 0 t
+50.31 506.32 (Y=3) 1 0 0 t
+50.31 537.58 (Y=4) 1 0 0 t
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+435.20 402.26 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 428.87 m
+639.00 0 l
+o
+np
+56.02 428.87 m
+0 -2.38 l
+o
+np
+183.82 428.87 m
+0 -2.38 l
+o
+np
+311.62 428.87 m
+0 -2.38 l
+o
+np
+439.42 428.87 m
+0 -2.38 l
+o
+np
+567.22 428.87 m
+0 -2.38 l
+o
+np
+695.02 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+56.02 415.56 (0) .5 0 0 t
+183.82 415.56 (10) .5 0 0 t
+311.62 415.56 (20) .5 0 0 t
+439.42 415.56 (30) .5 0 0 t
+567.22 415.56 (40) .5 0 0 t
+695.02 415.56 (50) .5 0 0 t
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+1 0 0 rgb
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+226.70 247.24 m
+0.89 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.89 0 l
+0.88 0.01 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0.01 l
+0.88 0 l
+0.88 0.01 l
+0.89 0 l
+0.88 0.01 l
+0.88 0 l
+0.88 0.01 l
+0.88 0.01 l
+0.88 0.01 l
+0.88 0.01 l
+0.88 0.01 l
+0.89 0.01 l
+0.88 0.01 l
+0.88 0.01 l
+0.88 0.02 l
+0.88 0.01 l
+0.88 0.02 l
+0.88 0.02 l
+0.88 0.02 l
+0.89 0.02 l
+0.88 0.02 l
+0.88 0.02 l
+0.88 0.03 l
+0.88 0.02 l
+0.88 0.03 l
+0.88 0.02 l
+0.88 0.03 l
+0.88 0.03 l
+0.89 0.03 l
+0.88 0.03 l
+0.88 0.03 l
+0.88 0.03 l
+0.88 0.03 l
+0.88 0.04 l
+0.88 0.03 l
+0.88 0.04 l
+0.89 0.03 l
+0.88 0.04 l
+0.88 0.03 l
+0.88 0.04 l
+0.88 0.03 l
+0.88 0.04 l
+0.88 0.04 l
+0.88 0.03 l
+0.89 0.04 l
+0.88 0.04 l
+0.88 0.04 l
+0.88 0.04 l
+0.88 0.04 l
+0.88 0.04 l
+0.88 0.05 l
+0.88 0.04 l
+0.89 0.04 l
+0.88 0.05 l
+0.88 0.05 l
+0.88 0.05 l
+0.88 0.05 l
+0.88 0.06 l
+0.88 0.05 l
+0.88 0.06 l
+0.88 0.07 l
+0.89 0.06 l
+0.88 0.07 l
+0.88 0.07 l
+0.88 0.08 l
+0.88 0.08 l
+0.88 0.08 l
+0.88 0.09 l
+0.88 0.09 l
+0.89 0.10 l
+0.88 0.10 l
+0.88 0.10 l
+0.88 0.11 l
+0.88 0.11 l
+0.88 0.12 l
+0.88 0.12 l
+0.88 0.12 l
+0.89 0.13 l
+0.88 0.13 l
+0.88 0.14 l
+0.88 0.13 l
+0.88 0.15 l
+0.88 0.14 l
+0.88 0.14 l
+0.88 0.15 l
+314.83 251.78 lineto
+0.88 0.16 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.89 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.88 0.16 l
+0.89 0.15 l
+0.88 0.16 l
+0.88 0.15 l
+0.88 0.16 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.15 l
+0.89 0.15 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.15 l
+0.88 0.16 l
+0.88 0.15 l
+0.89 0.17 l
+0.88 0.16 l
+0.88 0.17 l
+0.88 0.17 l
+0.88 0.18 l
+0.88 0.19 l
+0.88 0.19 l
+0.88 0.20 l
+0.89 0.21 l
+0.88 0.21 l
+0.88 0.22 l
+0.88 0.23 l
+0.88 0.23 l
+0.88 0.24 l
+0.88 0.25 l
+0.88 0.26 l
+0.88 0.26 l
+0.89 0.26 l
+0.88 0.27 l
+0.88 0.27 l
+0.88 0.27 l
+0.88 0.28 l
+0.88 0.28 l
+0.88 0.27 l
+0.88 0.28 l
+0.89 0.27 l
+0.88 0.27 l
+0.88 0.27 l
+0.88 0.26 l
+0.88 0.26 l
+0.88 0.25 l
+0.88 0.25 l
+0.88 0.24 l
+0.89 0.23 l
+0.88 0.22 l
+0.88 0.21 l
+0.88 0.21 l
+0.88 0.19 l
+0.88 0.19 l
+0.88 0.17 l
+0.88 0.17 l
+0.89 0.16 l
+0.88 0.15 l
+0.88 0.14 l
+0.88 0.13 l
+0.88 0.12 l
+0.88 0.11 l
+0.88 0.11 l
+0.88 0.09 l
+0.88 0.09 l
+0.89 0.09 l
+0.88 0.07 l
+0.88 0.08 l
+0.88 0.06 l
+0.88 0.07 l
+0.88 0.06 l
+0.88 0.06 l
+0.88 0.05 l
+0.89 0.06 l
+0.88 0.05 l
+0.88 0.05 l
+0.88 0.06 l
+0.88 0.05 l
+0.88 0.06 l
+0.88 0.06 l
+0.88 0.06 l
+0.89 0.06 l
+402.95 268.34 lineto
+0.88 0.06 l
+0.88 0.07 l
+0.88 0.07 l
+0.88 0.07 l
+0.88 0.07 l
+0.88 0.07 l
+0.89 0.08 l
+0.88 0.07 l
+0.88 0.08 l
+0.88 0.07 l
+0.88 0.07 l
+0.88 0.08 l
+0.88 0.07 l
+0.88 0.07 l
+0.88 0.07 l
+0.89 0.06 l
+0.88 0.07 l
+0.88 0.06 l
+0.88 0.05 l
+0.88 0.06 l
+0.88 0.04 l
+0.88 0.05 l
+0.88 0.04 l
+0.89 0.03 l
+0.88 0.03 l
+0.88 0.02 l
+0.88 0.01 l
+0.88 0 l
+0.88 0 l
+0.88 -0.02 l
+0.88 -0.02 l
+0.89 -0.04 l
+0.88 -0.05 l
+0.88 -0.06 l
+0.88 -0.07 l
+0.88 -0.09 l
+0.88 -0.10 l
+0.88 -0.12 l
+0.88 -0.13 l
+0.89 -0.14 l
+0.88 -0.16 l
+0.88 -0.17 l
+0.88 -0.19 l
+0.88 -0.19 l
+0.88 -0.21 l
+0.88 -0.22 l
+0.88 -0.23 l
+0.88 -0.23 l
+0.89 -0.24 l
+0.88 -0.25 l
+0.88 -0.25 l
+0.88 -0.25 l
+0.88 -0.25 l
+0.88 -0.25 l
+0.88 -0.25 l
+0.88 -0.25 l
+0.89 -0.24 l
+0.88 -0.23 l
+0.88 -0.23 l
+0.88 -0.22 l
+0.88 -0.21 l
+0.88 -0.20 l
+0.88 -0.19 l
+0.88 -0.19 l
+0.89 -0.17 l
+0.88 -0.17 l
+0.88 -0.16 l
+0.88 -0.15 l
+0.88 -0.14 l
+0.88 -0.13 l
+0.88 -0.13 l
+0.88 -0.13 l
+0.89 -0.12 l
+0.88 -0.12 l
+0.88 -0.12 l
+0.88 -0.11 l
+0.88 -0.12 l
+0.88 -0.12 l
+0.88 -0.12 l
+0.88 -0.12 l
+0.88 -0.13 l
+0.89 -0.13 l
+0.88 -0.14 l
+0.88 -0.15 l
+0.88 -0.15 l
+0.88 -0.16 l
+0.88 -0.16 l
+0.88 -0.17 l
+0.88 -0.18 l
+0.89 -0.19 l
+0.88 -0.20 l
+0.88 -0.20 l
+0.88 -0.21 l
+0.88 -0.21 l
+0.88 -0.22 l
+0.88 -0.23 l
+0.88 -0.23 l
+0.89 -0.23 l
+0.88 -0.24 l
+491.07 257.89 lineto
+0.88 -0.24 l
+0.88 -0.24 l
+0.88 -0.25 l
+0.88 -0.24 l
+0.88 -0.23 l
+0.89 -0.24 l
+0.88 -0.23 l
+0.88 -0.23 l
+0.88 -0.22 l
+0.88 -0.21 l
+0.88 -0.21 l
+0.88 -0.20 l
+0.88 -0.19 l
+0.89 -0.18 l
+0.88 -0.18 l
+0.88 -0.16 l
+0.88 -0.16 l
+0.88 -0.15 l
+0.88 -0.14 l
+0.88 -0.13 l
+0.88 -0.12 l
+0.88 -0.12 l
+0.89 -0.11 l
+0.88 -0.10 l
+0.88 -0.10 l
+0.88 -0.10 l
+0.88 -0.09 l
+0.88 -0.08 l
+0.88 -0.09 l
+0.88 -0.08 l
+0.89 -0.09 l
+0.88 -0.08 l
+0.88 -0.08 l
+0.88 -0.09 l
+0.88 -0.09 l
+0.88 -0.09 l
+0.88 -0.09 l
+0.88 -0.10 l
+0.89 -0.10 l
+0.88 -0.10 l
+0.88 -0.10 l
+0.88 -0.11 l
+0.88 -0.11 l
+0.88 -0.11 l
+0.88 -0.12 l
+0.88 -0.11 l
+0.89 -0.12 l
+0.88 -0.11 l
+0.88 -0.12 l
+0.88 -0.11 l
+0.88 -0.12 l
+0.88 -0.11 l
+0.88 -0.11 l
+0.88 -0.11 l
+0.88 -0.10 l
+0.89 -0.11 l
+0.88 -0.10 l
+0.88 -0.09 l
+0.88 -0.10 l
+0.88 -0.09 l
+0.88 -0.08 l
+0.88 -0.09 l
+0.88 -0.08 l
+0.89 -0.07 l
+0.88 -0.08 l
+0.88 -0.07 l
+0.88 -0.07 l
+0.88 -0.06 l
+0.88 -0.07 l
+0.88 -0.06 l
+0.88 -0.06 l
+0.89 -0.06 l
+0.88 -0.06 l
+0.88 -0.05 l
+0.88 -0.06 l
+0.88 -0.05 l
+0.88 -0.06 l
+0.88 -0.05 l
+0.88 -0.05 l
+0.89 -0.05 l
+0.88 -0.05 l
+0.88 -0.05 l
+0.88 -0.05 l
+0.88 -0.05 l
+0.88 -0.05 l
+0.88 -0.05 l
+0.88 -0.04 l
+0.88 -0.05 l
+0.89 -0.04 l
+0.88 -0.04 l
+0.88 -0.05 l
+0.88 -0.03 l
+0.88 -0.04 l
+0.88 -0.04 l
+0.88 -0.03 l
+0.88 -0.04 l
+0.89 -0.03 l
+0.88 -0.03 l
+0.88 -0.03 l
+579.19 247.71 lineto
+0.88 -0.03 l
+0.88 -0.02 l
+0.88 -0.02 l
+0.88 -0.02 l
+0.89 -0.02 l
+0.88 -0.01 l
+0.88 -0.02 l
+0.88 -0.01 l
+0.88 -0.02 l
+0.88 -0.01 l
+0.88 -0.01 l
+0.88 -0.01 l
+0.89 0 l
+0.88 -0.01 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.89 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.89 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.89 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.89 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.89 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.89 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.89 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+0.89 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.89 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+0.88 0 l
+0.89 0 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+667.31 247.24 lineto
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.89 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 0 l
+0.88 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 242.44 m
+557.04 0 l
+o
+np
+84.10 242.44 m
+0 -2.37 l
+o
+np
+269.78 242.44 m
+0 -2.37 l
+o
+np
+455.46 242.44 m
+0 -2.37 l
+o
+np
+641.14 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+84.10 229.14 (0.0) .5 0 0 t
+269.78 229.14 (0.2) .5 0 0 t
+455.46 229.14 (0.4) .5 0 0 t
+641.14 229.14 (0.6) .5 0 0 t
+np
+56.02 247.23 m
+0 123.99 l
+o
+np
+56.02 247.23 m
+-2.38 0 l
+o
+np
+56.02 264.95 m
+-2.38 0 l
+o
+np
+56.02 282.66 m
+-2.38 0 l
+o
+np
+56.02 300.37 m
+-2.38 0 l
+o
+np
+56.02 318.08 m
+-2.38 0 l
+o
+np
+56.02 335.80 m
+-2.38 0 l
+o
+np
+56.02 353.51 m
+-2.38 0 l
+o
+np
+56.02 371.22 m
+-2.38 0 l
+o
+48.41 247.23 (0) .5 0 90 t
+48.41 264.95 (5) .5 0 90 t
+48.41 282.66 (10) .5 0 90 t
+48.41 300.37 (15) .5 0 90 t
+48.41 318.08 (20) .5 0 90 t
+48.41 335.80 (25) .5 0 90 t
+48.41 353.51 (30) .5 0 90 t
+48.41 371.22 (35) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.23 m
+758.37 0 l
+o
+0.5020 1 0 rgb
+0.75 setlinewidth
+[] 0 setdash
+np
+323.40 247.23 m
+0.90 0.01 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0.01 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0.01 l
+0.90 0 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.90 0 l
+0.91 0.01 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 -0.01 l
+0.91 0 l
+0.91 0 l
+0.90 -0.01 l
+0.91 0 l
+0.90 0 l
+0.91 -0.01 l
+0.91 0 l
+0.90 0 l
+0.91 -0.01 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 -0.01 l
+0.91 0 l
+0.90 0.01 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0.01 l
+0.90 0 l
+0.91 0.01 l
+0.91 0.01 l
+0.90 0 l
+0.91 0.01 l
+0.90 0.01 l
+0.91 0.02 l
+0.91 0.01 l
+0.90 0.01 l
+0.91 0.02 l
+0.90 0.01 l
+0.91 0.02 l
+0.90 0.02 l
+0.91 0.02 l
+0.91 0.02 l
+0.90 0.02 l
+0.91 0.03 l
+0.90 0.02 l
+0.91 0.03 l
+0.91 0.02 l
+0.90 0.03 l
+0.91 0.03 l
+0.90 0.03 l
+0.91 0.03 l
+0.91 0.03 l
+0.90 0.03 l
+0.91 0.03 l
+413.98 247.86 lineto
+0.91 0.03 l
+0.90 0.04 l
+0.91 0.04 l
+0.91 0.04 l
+0.90 0.04 l
+0.91 0.04 l
+0.90 0.05 l
+0.91 0.04 l
+0.91 0.05 l
+0.90 0.05 l
+0.91 0.05 l
+0.90 0.05 l
+0.91 0.06 l
+0.91 0.06 l
+0.90 0.06 l
+0.91 0.06 l
+0.90 0.06 l
+0.91 0.07 l
+0.90 0.07 l
+0.91 0.07 l
+0.91 0.07 l
+0.90 0.07 l
+0.91 0.07 l
+0.90 0.08 l
+0.91 0.07 l
+0.91 0.08 l
+0.90 0.08 l
+0.91 0.08 l
+0.90 0.08 l
+0.91 0.08 l
+0.91 0.08 l
+0.90 0.09 l
+0.91 0.08 l
+0.90 0.09 l
+0.91 0.09 l
+0.90 0.08 l
+0.91 0.09 l
+0.91 0.10 l
+0.90 0.09 l
+0.91 0.10 l
+0.90 0.10 l
+0.91 0.10 l
+0.91 0.10 l
+0.90 0.11 l
+0.91 0.10 l
+0.90 0.12 l
+0.91 0.11 l
+0.90 0.12 l
+0.91 0.12 l
+0.91 0.12 l
+0.90 0.12 l
+0.91 0.13 l
+0.90 0.13 l
+0.91 0.14 l
+0.91 0.13 l
+0.90 0.14 l
+0.91 0.15 l
+0.90 0.14 l
+0.91 0.15 l
+0.91 0.15 l
+0.90 0.15 l
+0.91 0.15 l
+0.90 0.16 l
+0.91 0.16 l
+0.90 0.16 l
+0.91 0.16 l
+0.91 0.17 l
+0.90 0.17 l
+0.91 0.17 l
+0.90 0.17 l
+0.91 0.18 l
+0.91 0.17 l
+0.90 0.18 l
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.19 l
+0.91 0.18 l
+0.90 0.19 l
+0.91 0.19 l
+0.90 0.18 l
+0.91 0.19 l
+0.90 0.19 l
+0.91 0.19 l
+0.91 0.19 l
+0.90 0.18 l
+0.91 0.19 l
+0.90 0.18 l
+0.91 0.19 l
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.18 l
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.17 l
+0.90 0.18 l
+0.91 0.18 l
+0.90 0.17 l
+504.57 260.10 lineto
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.19 l
+0.91 0.19 l
+0.90 0.19 l
+0.91 0.20 l
+0.90 0.20 l
+0.91 0.20 l
+0.91 0.21 l
+0.90 0.21 l
+0.91 0.22 l
+0.90 0.22 l
+0.91 0.23 l
+0.90 0.23 l
+0.91 0.23 l
+0.91 0.24 l
+0.90 0.24 l
+0.91 0.25 l
+0.90 0.24 l
+0.91 0.25 l
+0.91 0.25 l
+0.90 0.24 l
+0.91 0.25 l
+0.90 0.25 l
+0.91 0.24 l
+0.91 0.24 l
+0.90 0.24 l
+0.91 0.23 l
+0.90 0.23 l
+0.91 0.22 l
+0.90 0.21 l
+0.91 0.21 l
+0.91 0.20 l
+0.90 0.19 l
+0.91 0.18 l
+0.90 0.18 l
+0.91 0.16 l
+0.91 0.16 l
+0.90 0.14 l
+0.91 0.13 l
+0.90 0.13 l
+0.91 0.11 l
+0.90 0.11 l
+0.91 0.10 l
+0.91 0.08 l
+0.90 0.08 l
+0.91 0.06 l
+0.90 0.06 l
+0.91 0.05 l
+0.91 0.03 l
+0.90 0.03 l
+0.91 0.02 l
+0.90 0.01 l
+0.91 0.01 l
+0.91 -0.01 l
+0.90 -0.02 l
+0.91 -0.02 l
+0.90 -0.03 l
+0.91 -0.04 l
+0.90 -0.05 l
+0.91 -0.06 l
+0.91 -0.06 l
+0.90 -0.07 l
+0.91 -0.08 l
+0.90 -0.08 l
+0.91 -0.09 l
+0.91 -0.10 l
+0.90 -0.10 l
+0.91 -0.10 l
+0.90 -0.11 l
+0.91 -0.11 l
+0.91 -0.11 l
+0.90 -0.12 l
+0.91 -0.11 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.91 -0.11 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.90 -0.11 l
+0.91 -0.12 l
+0.91 -0.11 l
+0.90 -0.11 l
+0.91 -0.12 l
+0.90 -0.11 l
+0.91 -0.11 l
+0.90 -0.12 l
+0.91 -0.11 l
+0.91 -0.11 l
+0.90 -0.12 l
+595.16 265.53 lineto
+0.90 -0.12 l
+0.91 -0.11 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.13 l
+0.91 -0.12 l
+0.90 -0.13 l
+0.91 -0.13 l
+0.90 -0.13 l
+0.91 -0.14 l
+0.90 -0.14 l
+0.91 -0.14 l
+0.91 -0.14 l
+0.90 -0.15 l
+0.91 -0.15 l
+0.90 -0.16 l
+0.91 -0.15 l
+0.91 -0.16 l
+0.90 -0.17 l
+0.91 -0.16 l
+0.90 -0.17 l
+0.91 -0.17 l
+0.91 -0.17 l
+0.90 -0.18 l
+0.91 -0.17 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.90 -0.17 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.91 -0.17 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.90 -0.17 l
+0.91 -0.18 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.91 -0.18 l
+0.90 -0.17 l
+0.91 -0.18 l
+0.90 -0.18 l
+0.91 -0.18 l
+0.90 -0.17 l
+0.91 -0.18 l
+0.91 -0.17 l
+0.90 -0.17 l
+0.91 -0.17 l
+0.90 -0.16 l
+0.91 -0.17 l
+0.91 -0.15 l
+0.90 -0.16 l
+0.91 -0.15 l
+0.90 -0.15 l
+0.91 -0.14 l
+0.91 -0.14 l
+0.90 -0.14 l
+0.91 -0.13 l
+0.90 -0.14 l
+0.91 -0.12 l
+0.90 -0.13 l
+0.91 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.13 l
+0.90 -0.12 l
+0.91 -0.12 l
+0.91 -0.13 l
+0.90 -0.13 l
+0.91 -0.13 l
+0.90 -0.13 l
+0.91 -0.13 l
+0.90 -0.14 l
+0.91 -0.13 l
+0.91 -0.14 l
+0.90 -0.14 l
+0.91 -0.13 l
+0.90 -0.14 l
+0.91 -0.13 l
+685.75 250.31 lineto
+0.90 -0.13 l
+0.91 -0.12 l
+0.90 -0.13 l
+0.91 -0.12 l
+0.91 -0.12 l
+0.90 -0.12 l
+0.91 -0.11 l
+0.90 -0.10 l
+0.91 -0.10 l
+0.90 -0.10 l
+0.91 -0.09 l
+0.91 -0.09 l
+0.90 -0.08 l
+0.91 -0.07 l
+0.90 -0.07 l
+0.91 -0.07 l
+0.91 -0.06 l
+0.90 -0.06 l
+0.91 -0.05 l
+0.90 -0.05 l
+0.91 -0.04 l
+0.91 -0.04 l
+0.90 -0.04 l
+0.91 -0.03 l
+0.90 -0.03 l
+0.91 -0.03 l
+0.90 -0.02 l
+0.91 -0.02 l
+0.91 -0.02 l
+0.90 -0.01 l
+0.91 -0.02 l
+0.90 -0.01 l
+0.91 -0.01 l
+0.91 0 l
+0.90 -0.01 l
+0.91 0 l
+0.90 -0.01 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 -0.01 l
+0.90 -0.01 l
+0.91 0 l
+0.90 -0.01 l
+0.91 -0.02 l
+0.90 -0.01 l
+0.91 -0.02 l
+0.91 -0.01 l
+0.90 -0.02 l
+0.91 -0.02 l
+0.90 -0.03 l
+0.91 -0.02 l
+0.91 -0.02 l
+0.90 -0.03 l
+0.91 -0.03 l
+0.90 -0.03 l
+0.91 -0.03 l
+0.91 -0.03 l
+0.90 -0.02 l
+0.91 -0.03 l
+0.90 -0.03 l
+0.91 -0.03 l
+0.90 -0.03 l
+0.91 -0.03 l
+0.91 -0.03 l
+0.90 -0.03 l
+0.91 -0.02 l
+0.90 -0.03 l
+0.91 -0.02 l
+0.91 -0.02 l
+0.90 -0.02 l
+0.91 -0.02 l
+0.90 -0.02 l
+0.91 -0.02 l
+0.91 -0.01 l
+0.90 -0.02 l
+0.91 -0.01 l
+0.90 -0.01 l
+0.91 -0.01 l
+0.90 -0.01 l
+0.91 -0.01 l
+0.91 -0.01 l
+0.90 -0.01 l
+0.91 -0.01 l
+0.90 0 l
+0.91 -0.01 l
+0.91 0 l
+0.90 0 l
+0.91 -0.01 l
+776.33 247.25 lineto
+0.91 0 l
+0.91 -0.01 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+0.91 0 l
+0.90 0 l
+0.91 0 l
+o
+0 1 1 rgb
+np
+82.43 247.24 m
+0.43 0 l
+0.43 0 l
+0.43 0 l
+0.43 0 l
+0.42 0 l
+0.43 0 l
+0.43 0.01 l
+0.43 0 l
+0.43 0 l
+0.43 0.01 l
+0.43 0 l
+0.43 0 l
+0.42 0.01 l
+0.43 0 l
+0.43 0.01 l
+0.43 0.01 l
+0.43 0.01 l
+0.43 0.01 l
+0.43 0.01 l
+0.43 0.01 l
+0.42 0.01 l
+0.43 0.01 l
+0.43 0.02 l
+0.43 0.02 l
+0.43 0.02 l
+0.43 0.02 l
+0.43 0.02 l
+0.42 0.03 l
+0.43 0.02 l
+0.43 0.03 l
+0.43 0.03 l
+0.43 0.04 l
+0.43 0.04 l
+0.43 0.03 l
+0.43 0.05 l
+0.42 0.04 l
+0.43 0.05 l
+0.43 0.05 l
+0.43 0.05 l
+0.43 0.06 l
+0.43 0.05 l
+0.43 0.07 l
+0.43 0.06 l
+0.42 0.07 l
+0.43 0.07 l
+0.43 0.07 l
+0.43 0.08 l
+0.43 0.08 l
+0.43 0.08 l
+0.43 0.08 l
+0.43 0.09 l
+0.42 0.10 l
+0.43 0.09 l
+0.43 0.10 l
+0.43 0.10 l
+0.43 0.11 l
+0.43 0.11 l
+0.43 0.11 l
+0.43 0.12 l
+0.42 0.12 l
+0.43 0.12 l
+0.43 0.13 l
+0.43 0.14 l
+0.43 0.14 l
+0.43 0.14 l
+0.43 0.15 l
+0.42 0.15 l
+0.43 0.16 l
+0.43 0.16 l
+0.43 0.17 l
+0.43 0.18 l
+0.43 0.18 l
+0.43 0.19 l
+0.43 0.20 l
+0.42 0.21 l
+0.43 0.21 l
+0.43 0.21 l
+0.43 0.23 l
+0.43 0.24 l
+0.43 0.24 l
+0.43 0.25 l
+0.43 0.26 l
+0.42 0.27 l
+0.43 0.28 l
+0.43 0.28 l
+0.43 0.30 l
+0.43 0.30 l
+0.43 0.32 l
+0.43 0.32 l
+0.43 0.33 l
+0.42 0.35 l
+0.43 0.35 l
+0.43 0.36 l
+0.43 0.37 l
+0.43 0.37 l
+0.43 0.39 l
+0.43 0.40 l
+0.43 0.40 l
+0.42 0.41 l
+125.30 260.01 lineto
+0.43 0.43 l
+0.43 0.43 l
+0.43 0.44 l
+0.43 0.45 l
+0.43 0.45 l
+0.42 0.46 l
+0.43 0.47 l
+0.43 0.47 l
+0.43 0.48 l
+0.43 0.48 l
+0.43 0.48 l
+0.43 0.49 l
+0.43 0.50 l
+0.42 0.49 l
+0.43 0.50 l
+0.43 0.50 l
+0.43 0.51 l
+0.43 0.51 l
+0.43 0.51 l
+0.43 0.51 l
+0.43 0.51 l
+0.42 0.52 l
+0.43 0.51 l
+0.43 0.52 l
+0.43 0.51 l
+0.43 0.51 l
+0.43 0.52 l
+0.43 0.51 l
+0.43 0.51 l
+0.42 0.50 l
+0.43 0.50 l
+0.43 0.50 l
+0.43 0.49 l
+0.43 0.49 l
+0.43 0.48 l
+0.43 0.47 l
+0.43 0.47 l
+0.42 0.45 l
+0.43 0.45 l
+0.43 0.44 l
+0.43 0.42 l
+0.43 0.42 l
+0.43 0.40 l
+0.43 0.38 l
+0.42 0.38 l
+0.43 0.36 l
+0.43 0.35 l
+0.43 0.33 l
+0.43 0.32 l
+0.43 0.30 l
+0.43 0.29 l
+0.43 0.28 l
+0.42 0.26 l
+0.43 0.25 l
+0.43 0.24 l
+0.43 0.24 l
+0.43 0.21 l
+0.43 0.22 l
+0.43 0.20 l
+0.43 0.20 l
+0.42 0.19 l
+0.43 0.20 l
+0.43 0.19 l
+0.43 0.19 l
+0.43 0.19 l
+0.43 0.20 l
+0.43 0.20 l
+0.43 0.20 l
+0.42 0.22 l
+0.43 0.22 l
+0.43 0.23 l
+0.43 0.23 l
+0.43 0.25 l
+0.43 0.26 l
+0.43 0.26 l
+0.43 0.27 l
+0.42 0.28 l
+0.43 0.29 l
+0.43 0.28 l
+0.43 0.30 l
+0.43 0.29 l
+0.43 0.29 l
+0.43 0.28 l
+0.42 0.28 l
+0.43 0.27 l
+0.43 0.27 l
+0.43 0.24 l
+0.43 0.23 l
+0.43 0.21 l
+0.43 0.19 l
+0.43 0.17 l
+0.42 0.13 l
+0.43 0.11 l
+0.43 0.09 l
+0.43 0.05 l
+0.43 0.03 l
+0.43 -0.02 l
+0.43 -0.05 l
+0.43 -0.07 l
+168.17 293.01 lineto
+0.43 -0.14 l
+0.43 -0.18 l
+0.43 -0.20 l
+0.43 -0.24 l
+0.43 -0.26 l
+0.43 -0.28 l
+0.43 -0.32 l
+0.42 -0.34 l
+0.43 -0.35 l
+0.43 -0.37 l
+0.43 -0.39 l
+0.43 -0.41 l
+0.43 -0.41 l
+0.43 -0.42 l
+0.43 -0.44 l
+0.42 -0.43 l
+0.43 -0.44 l
+0.43 -0.44 l
+0.43 -0.44 l
+0.43 -0.44 l
+0.43 -0.43 l
+0.43 -0.43 l
+0.42 -0.42 l
+0.43 -0.42 l
+0.43 -0.41 l
+0.43 -0.40 l
+0.43 -0.38 l
+0.43 -0.38 l
+0.43 -0.37 l
+0.43 -0.36 l
+0.42 -0.35 l
+0.43 -0.34 l
+0.43 -0.32 l
+0.43 -0.32 l
+0.43 -0.31 l
+0.43 -0.30 l
+0.43 -0.28 l
+0.43 -0.28 l
+0.42 -0.27 l
+0.43 -0.26 l
+0.43 -0.26 l
+0.43 -0.25 l
+0.43 -0.24 l
+0.43 -0.23 l
+0.43 -0.24 l
+0.43 -0.22 l
+0.42 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.21 l
+0.43 -0.22 l
+0.43 -0.21 l
+0.43 -0.21 l
+0.43 -0.22 l
+0.42 -0.21 l
+0.43 -0.21 l
+0.43 -0.21 l
+0.43 -0.22 l
+0.43 -0.21 l
+0.43 -0.22 l
+0.43 -0.21 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.42 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.42 -0.23 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+211.05 265.68 lineto
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.43 -0.22 l
+0.43 -0.23 l
+0.42 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.22 l
+0.43 -0.21 l
+0.43 -0.22 l
+0.42 -0.21 l
+0.43 -0.20 l
+0.43 -0.21 l
+0.43 -0.20 l
+0.43 -0.19 l
+0.43 -0.20 l
+0.43 -0.18 l
+0.43 -0.19 l
+0.42 -0.17 l
+0.43 -0.18 l
+0.43 -0.17 l
+0.43 -0.16 l
+0.43 -0.15 l
+0.43 -0.15 l
+0.43 -0.15 l
+0.43 -0.14 l
+0.42 -0.13 l
+0.43 -0.12 l
+0.43 -0.13 l
+0.43 -0.11 l
+0.43 -0.11 l
+0.43 -0.11 l
+0.43 -0.10 l
+0.43 -0.09 l
+0.42 -0.10 l
+0.43 -0.09 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.07 l
+0.42 -0.08 l
+0.43 -0.07 l
+0.43 -0.07 l
+0.43 -0.08 l
+0.43 -0.07 l
+0.43 -0.08 l
+0.43 -0.07 l
+0.42 -0.08 l
+0.43 -0.07 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.09 l
+0.43 -0.08 l
+0.42 -0.08 l
+0.43 -0.09 l
+0.43 -0.08 l
+0.43 -0.09 l
+0.43 -0.08 l
+0.43 -0.09 l
+0.43 -0.08 l
+0.43 -0.09 l
+0.42 -0.08 l
+0.43 -0.08 l
+0.43 -0.08 l
+0.43 -0.07 l
+0.43 -0.08 l
+253.92 250.33 lineto
+0.43 -0.08 l
+0.43 -0.07 l
+0.42 -0.06 l
+0.43 -0.07 l
+0.43 -0.07 l
+0.43 -0.06 l
+0.43 -0.06 l
+0.43 -0.06 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.42 -0.06 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.42 -0.06 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.42 -0.05 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.43 -0.05 l
+0.43 -0.06 l
+0.42 -0.05 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.43 -0.05 l
+0.43 -0.04 l
+0.43 -0.05 l
+0.42 -0.04 l
+0.43 -0.04 l
+0.43 -0.04 l
+0.43 -0.03 l
+0.43 -0.04 l
+0.43 -0.03 l
+0.43 -0.03 l
+0.42 -0.03 l
+0.43 -0.03 l
+0.43 -0.02 l
+0.43 -0.03 l
+0.43 -0.02 l
+0.43 -0.02 l
+0.43 -0.02 l
+0.43 -0.02 l
+0.42 -0.01 l
+0.43 -0.02 l
+0.43 -0.01 l
+0.43 -0.02 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.42 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.42 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 0 l
+0.42 -0.01 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 0 l
+0.43 -0.01 l
+0.43 -0.01 l
+0.43 0 l
+0.42 -0.01 l
+0.43 -0.01 l
+0.43 0 l
+0.43 -0.01 l
+0.43 0 l
+0.43 0 l
+0.43 -0.01 l
+0.43 0 l
+0.42 0 l
+0.43 -0.01 l
+0.43 0 l
+0.43 0 l
+296.79 247.25 lineto
+0.43 0 l
+0.43 -0.01 l
+0.43 0 l
+0.42 0 l
+0.43 0 l
+0.43 0 l
+0.43 0 l
+0.43 0 l
+0.43 0 l
+0.43 0 l
+0.43 0 l
+o
+0.5020 0 1 rgb
+np
+75.96 247.27 m
+0.20 0.01 l
+0.19 0.01 l
+0.20 0.02 l
+0.20 0.02 l
+0.19 0.02 l
+0.20 0.03 l
+0.20 0.04 l
+0.19 0.04 l
+0.20 0.05 l
+0.20 0.07 l
+0.19 0.07 l
+0.20 0.09 l
+0.20 0.11 l
+0.19 0.12 l
+0.20 0.15 l
+0.20 0.17 l
+0.19 0.20 l
+0.20 0.23 l
+0.20 0.27 l
+0.19 0.30 l
+0.20 0.34 l
+0.20 0.39 l
+0.20 0.45 l
+0.19 0.49 l
+0.20 0.55 l
+0.20 0.61 l
+0.19 0.69 l
+0.20 0.75 l
+0.20 0.83 l
+0.19 0.90 l
+0.20 0.97 l
+0.20 1.06 l
+0.19 1.15 l
+0.20 1.24 l
+0.20 1.31 l
+0.19 1.40 l
+0.20 1.48 l
+0.20 1.57 l
+0.19 1.66 l
+0.20 1.74 l
+0.20 1.82 l
+0.19 1.89 l
+0.20 1.96 l
+0.20 2.04 l
+0.19 2.11 l
+0.20 2.16 l
+0.20 2.22 l
+0.19 2.28 l
+0.20 2.32 l
+0.20 2.38 l
+0.19 2.41 l
+0.20 2.44 l
+0.20 2.48 l
+0.19 2.50 l
+0.20 2.53 l
+0.20 2.54 l
+0.19 2.55 l
+0.20 2.57 l
+0.20 2.56 l
+0.19 2.57 l
+0.20 2.55 l
+0.20 2.55 l
+0.19 2.52 l
+0.20 2.51 l
+0.20 2.48 l
+0.19 2.44 l
+0.20 2.40 l
+0.20 2.36 l
+0.19 2.30 l
+0.20 2.26 l
+0.20 2.19 l
+0.19 2.12 l
+0.20 2.04 l
+0.20 1.97 l
+0.19 1.89 l
+0.20 1.81 l
+0.20 1.71 l
+0.19 1.61 l
+0.20 1.52 l
+0.20 1.42 l
+0.20 1.32 l
+0.19 1.23 l
+0.20 1.11 l
+0.20 1.00 l
+0.19 0.90 l
+0.20 0.81 l
+0.20 0.70 l
+0.19 0.60 l
+0.20 0.49 l
+0.20 0.39 l
+0.19 0.30 l
+0.20 0.21 l
+0.20 0.12 l
+0.19 0.02 l
+0.20 -0.07 l
+0.20 -0.14 l
+0.19 -0.22 l
+0.20 -0.29 l
+0.20 -0.35 l
+95.63 365.55 lineto
+0.20 -0.49 l
+0.20 -0.54 l
+0.19 -0.59 l
+0.20 -0.62 l
+0.20 -0.67 l
+0.19 -0.70 l
+0.20 -0.73 l
+0.20 -0.74 l
+0.19 -0.76 l
+0.20 -0.77 l
+0.20 -0.76 l
+0.19 -0.76 l
+0.20 -0.75 l
+0.20 -0.74 l
+0.19 -0.72 l
+0.20 -0.69 l
+0.20 -0.66 l
+0.19 -0.63 l
+0.20 -0.60 l
+0.20 -0.57 l
+0.19 -0.53 l
+0.20 -0.49 l
+0.20 -0.45 l
+0.19 -0.42 l
+0.20 -0.39 l
+0.20 -0.36 l
+0.19 -0.34 l
+0.20 -0.30 l
+0.20 -0.29 l
+0.19 -0.28 l
+0.20 -0.27 l
+0.20 -0.27 l
+0.19 -0.27 l
+0.20 -0.28 l
+0.20 -0.28 l
+0.19 -0.31 l
+0.20 -0.32 l
+0.20 -0.35 l
+0.19 -0.38 l
+0.20 -0.42 l
+0.20 -0.45 l
+0.20 -0.48 l
+0.19 -0.53 l
+0.20 -0.56 l
+0.20 -0.62 l
+0.19 -0.66 l
+0.20 -0.70 l
+0.20 -0.74 l
+0.19 -0.78 l
+0.20 -0.83 l
+0.20 -0.87 l
+0.19 -0.92 l
+0.20 -0.94 l
+0.20 -0.99 l
+0.19 -1.02 l
+0.20 -1.06 l
+0.20 -1.09 l
+0.19 -1.12 l
+0.20 -1.14 l
+0.20 -1.16 l
+0.19 -1.18 l
+0.20 -1.21 l
+0.20 -1.21 l
+0.19 -1.23 l
+0.20 -1.24 l
+0.20 -1.23 l
+0.19 -1.24 l
+0.20 -1.24 l
+0.20 -1.23 l
+0.19 -1.23 l
+0.20 -1.21 l
+0.20 -1.19 l
+0.19 -1.18 l
+0.20 -1.16 l
+0.20 -1.13 l
+0.19 -1.11 l
+0.20 -1.08 l
+0.20 -1.05 l
+0.19 -1.02 l
+0.20 -0.98 l
+0.20 -0.96 l
+0.19 -0.92 l
+0.20 -0.88 l
+0.20 -0.84 l
+0.19 -0.80 l
+0.20 -0.77 l
+0.20 -0.73 l
+0.19 -0.69 l
+0.20 -0.66 l
+0.20 -0.61 l
+0.19 -0.58 l
+0.20 -0.55 l
+0.20 -0.52 l
+0.19 -0.49 l
+0.20 -0.45 l
+0.20 -0.42 l
+0.19 -0.41 l
+0.20 -0.37 l
+0.20 -0.36 l
+115.31 292.70 lineto
+0.19 -0.32 l
+0.20 -0.31 l
+0.20 -0.30 l
+0.19 -0.29 l
+0.20 -0.29 l
+0.20 -0.29 l
+0.19 -0.29 l
+0.20 -0.30 l
+0.20 -0.30 l
+0.19 -0.31 l
+0.20 -0.33 l
+0.20 -0.35 l
+0.19 -0.36 l
+0.20 -0.38 l
+0.20 -0.40 l
+0.19 -0.42 l
+0.20 -0.45 l
+0.20 -0.47 l
+0.19 -0.50 l
+0.20 -0.52 l
+0.20 -0.54 l
+0.19 -0.56 l
+0.20 -0.59 l
+0.20 -0.61 l
+0.19 -0.63 l
+0.20 -0.64 l
+0.20 -0.66 l
+0.19 -0.67 l
+0.20 -0.68 l
+0.20 -0.69 l
+0.19 -0.69 l
+0.20 -0.69 l
+0.20 -0.69 l
+0.19 -0.69 l
+0.20 -0.68 l
+0.20 -0.67 l
+0.19 -0.66 l
+0.20 -0.65 l
+0.20 -0.63 l
+0.19 -0.61 l
+0.20 -0.59 l
+0.20 -0.57 l
+0.19 -0.55 l
+0.20 -0.53 l
+0.20 -0.51 l
+0.19 -0.48 l
+0.20 -0.46 l
+0.20 -0.44 l
+0.19 -0.41 l
+0.20 -0.40 l
+0.20 -0.37 l
+0.19 -0.34 l
+0.20 -0.34 l
+0.20 -0.31 l
+0.19 -0.29 l
+0.20 -0.28 l
+0.20 -0.26 l
+0.19 -0.25 l
+0.20 -0.23 l
+0.20 -0.22 l
+0.20 -0.22 l
+0.19 -0.19 l
+0.20 -0.19 l
+0.20 -0.18 l
+0.19 -0.18 l
+0.20 -0.17 l
+0.20 -0.16 l
+0.19 -0.16 l
+0.20 -0.15 l
+0.20 -0.16 l
+0.19 -0.15 l
+0.20 -0.16 l
+0.20 -0.16 l
+0.19 -0.16 l
+0.20 -0.16 l
+0.20 -0.17 l
+0.19 -0.18 l
+0.20 -0.18 l
+0.20 -0.19 l
+0.19 -0.20 l
+0.20 -0.20 l
+0.20 -0.21 l
+0.19 -0.22 l
+0.20 -0.23 l
+0.20 -0.23 l
+0.19 -0.24 l
+0.20 -0.24 l
+0.20 -0.24 l
+0.19 -0.24 l
+0.20 -0.25 l
+0.20 -0.24 l
+0.19 -0.24 l
+0.20 -0.23 l
+0.20 -0.22 l
+0.19 -0.22 l
+0.20 -0.21 l
+0.20 -0.20 l
+0.19 -0.19 l
+0.20 -0.17 l
+134.98 256.90 lineto
+0.19 -0.15 l
+0.20 -0.14 l
+0.20 -0.12 l
+0.19 -0.12 l
+0.20 -0.11 l
+0.20 -0.10 l
+0.19 -0.08 l
+0.20 -0.08 l
+0.20 -0.08 l
+0.19 -0.07 l
+0.20 -0.06 l
+0.20 -0.07 l
+0.19 -0.06 l
+0.20 -0.06 l
+0.20 -0.06 l
+0.19 -0.07 l
+0.20 -0.07 l
+0.20 -0.07 l
+0.20 -0.07 l
+0.19 -0.08 l
+0.20 -0.08 l
+0.20 -0.09 l
+0.19 -0.09 l
+0.20 -0.09 l
+0.20 -0.10 l
+0.19 -0.10 l
+0.20 -0.11 l
+0.20 -0.10 l
+0.19 -0.11 l
+0.20 -0.11 l
+0.20 -0.11 l
+0.19 -0.10 l
+0.20 -0.11 l
+0.20 -0.11 l
+0.19 -0.10 l
+0.20 -0.10 l
+0.20 -0.10 l
+0.19 -0.10 l
+0.20 -0.09 l
+0.20 -0.09 l
+0.19 -0.09 l
+0.20 -0.09 l
+0.20 -0.08 l
+0.19 -0.09 l
+0.20 -0.08 l
+0.20 -0.08 l
+0.19 -0.08 l
+0.20 -0.08 l
+0.20 -0.08 l
+0.19 -0.08 l
+0.20 -0.08 l
+0.20 -0.09 l
+0.19 -0.08 l
+0.20 -0.09 l
+0.20 -0.09 l
+0.19 -0.09 l
+0.20 -0.10 l
+0.20 -0.10 l
+0.19 -0.10 l
+0.20 -0.11 l
+0.20 -0.11 l
+0.19 -0.11 l
+0.20 -0.11 l
+0.20 -0.11 l
+0.19 -0.12 l
+0.20 -0.12 l
+0.20 -0.11 l
+0.19 -0.12 l
+0.20 -0.11 l
+0.20 -0.11 l
+0.19 -0.12 l
+0.20 -0.11 l
+0.20 -0.10 l
+0.19 -0.10 l
+0.20 -0.10 l
+0.20 -0.10 l
+0.19 -0.09 l
+0.20 -0.09 l
+0.20 -0.08 l
+0.20 -0.08 l
+0.19 -0.08 l
+0.20 -0.07 l
+0.20 -0.07 l
+0.19 -0.06 l
+0.20 -0.06 l
+0.20 -0.05 l
+0.19 -0.06 l
+0.20 -0.05 l
+0.20 -0.04 l
+0.19 -0.05 l
+0.20 -0.04 l
+0.20 -0.04 l
+0.19 -0.03 l
+0.20 -0.04 l
+0.20 -0.03 l
+0.19 -0.03 l
+0.20 -0.03 l
+0.20 -0.03 l
+0.19 -0.02 l
+154.65 248.42 lineto
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.01 l
+0.20 -0.02 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 -0.01 l
+0.19 -0.01 l
+0.20 0 l
+0.20 -0.01 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 -0.01 l
+0.20 0 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 -0.01 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.03 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.03 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.03 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.01 l
+0.20 -0.02 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 -0.01 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 0 l
+0.19 -0.01 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 0 l
+0.19 -0.01 l
+0.20 -0.02 l
+0.20 -0.01 l
+0.19 -0.01 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.02 l
+0.20 -0.02 l
+0.19 -0.02 l
+0.20 -0.01 l
+0.20 -0.02 l
+0.19 -0.01 l
+0.20 -0.02 l
+0.20 -0.01 l
+0.20 -0.01 l
+0.19 -0.01 l
+0.20 -0.01 l
+0.20 -0.01 l
+174.32 247.28 lineto
+0.20 -0.01 l
+0.20 -0.01 l
+0.19 0 l
+0.20 0 l
+0.20 -0.01 l
+0.19 0 l
+0.20 0 l
+0.20 -0.01 l
+0.19 0 l
+0.20 0 l
+0.20 0 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Expected Values: P\(Y=j|X\)) .5 0 0 t
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+1 0 0 rgb
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+18.00 60.81 m
+1.36 0 l
+1.52 0 l
+1.52 0 l
+1.53 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0.01 l
+1.53 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.53 0.01 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0.01 l
+1.53 0 l
+1.52 0 l
+1.52 0.01 l
+1.52 0 l
+1.52 0.01 l
+1.52 0 l
+1.53 0.01 l
+1.52 0 l
+1.52 0.01 l
+1.52 0 l
+1.52 0.01 l
+1.52 0 l
+1.53 0.01 l
+1.52 0.01 l
+1.52 0 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.01 l
+1.52 0.01 l
+1.52 0 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.01 l
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.02 l
+1.52 0.01 l
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.02 l
+1.52 0.02 l
+1.53 0.02 l
+1.52 0.02 l
+1.52 0.02 l
+1.52 0.02 l
+1.52 0.02 l
+1.52 0.03 l
+1.53 0.02 l
+1.52 0.03 l
+1.52 0.03 l
+1.52 0.03 l
+1.52 0.03 l
+1.52 0.04 l
+1.53 0.03 l
+1.52 0.04 l
+1.52 0.04 l
+1.52 0.04 l
+1.52 0.04 l
+1.53 0.05 l
+1.52 0.05 l
+1.52 0.05 l
+1.52 0.05 l
+1.52 0.05 l
+1.52 0.06 l
+1.53 0.05 l
+1.52 0.06 l
+170.01 62.34 lineto
+1.52 0.06 l
+1.52 0.06 l
+1.52 0.07 l
+1.53 0.06 l
+1.52 0.07 l
+1.52 0.06 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.06 l
+1.53 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.53 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.08 l
+1.53 0.07 l
+1.52 0.07 l
+1.52 0.07 l
+1.52 0.08 l
+1.52 0.07 l
+1.52 0.07 l
+1.53 0.08 l
+1.52 0.08 l
+1.52 0.07 l
+1.52 0.08 l
+1.52 0.08 l
+1.52 0.08 l
+1.53 0.08 l
+1.52 0.09 l
+1.52 0.08 l
+1.52 0.09 l
+1.52 0.09 l
+1.53 0.09 l
+1.52 0.09 l
+1.52 0.10 l
+1.52 0.10 l
+1.52 0.10 l
+1.52 0.10 l
+1.53 0.10 l
+1.52 0.11 l
+1.52 0.11 l
+1.52 0.11 l
+1.52 0.12 l
+1.52 0.12 l
+1.53 0.12 l
+1.52 0.13 l
+1.52 0.13 l
+1.52 0.13 l
+1.52 0.13 l
+1.52 0.14 l
+1.53 0.14 l
+1.52 0.14 l
+1.52 0.14 l
+1.52 0.15 l
+1.52 0.14 l
+1.52 0.15 l
+1.53 0.15 l
+1.52 0.14 l
+1.52 0.15 l
+1.52 0.15 l
+1.52 0.15 l
+1.52 0.14 l
+1.53 0.14 l
+1.52 0.14 l
+1.52 0.14 l
+1.52 0.13 l
+1.52 0.13 l
+1.52 0.13 l
+1.53 0.12 l
+1.52 0.12 l
+1.52 0.11 l
+1.52 0.10 l
+1.52 0.10 l
+1.52 0.10 l
+1.53 0.08 l
+1.52 0.08 l
+1.52 0.08 l
+1.52 0.07 l
+1.52 0.06 l
+1.53 0.06 l
+1.52 0.05 l
+1.52 0.05 l
+1.52 0.04 l
+1.52 0.04 l
+1.52 0.03 l
+1.53 0.03 l
+1.52 0.03 l
+1.52 0.02 l
+1.52 0.02 l
+1.52 0.02 l
+1.52 0.01 l
+1.53 0.02 l
+1.52 0.01 l
+322.18 71.14 lineto
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.53 0.01 l
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0.02 l
+1.52 0.01 l
+1.53 0.02 l
+1.52 0.01 l
+1.52 0.02 l
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.02 l
+1.53 0.01 l
+1.52 0.01 l
+1.52 0.02 l
+1.52 0.01 l
+1.52 0.01 l
+1.52 0 l
+1.53 0.01 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 -0.01 l
+1.53 0 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.53 -0.02 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.04 l
+1.53 -0.04 l
+1.52 -0.04 l
+1.52 -0.05 l
+1.52 -0.05 l
+1.52 -0.05 l
+1.52 -0.05 l
+1.53 -0.06 l
+1.52 -0.06 l
+1.52 -0.06 l
+1.52 -0.07 l
+1.52 -0.06 l
+1.52 -0.07 l
+1.53 -0.07 l
+1.52 -0.07 l
+1.52 -0.08 l
+1.52 -0.07 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.53 -0.08 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.52 -0.09 l
+1.52 -0.08 l
+1.53 -0.08 l
+1.52 -0.09 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.53 -0.08 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.52 -0.07 l
+1.52 -0.07 l
+1.52 -0.07 l
+1.53 -0.06 l
+1.52 -0.06 l
+1.52 -0.06 l
+1.52 -0.06 l
+1.52 -0.05 l
+1.53 -0.05 l
+1.52 -0.04 l
+1.52 -0.05 l
+1.52 -0.04 l
+1.52 -0.03 l
+1.52 -0.04 l
+1.53 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.52 -0.02 l
+1.53 -0.02 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.53 -0.02 l
+1.52 -0.03 l
+474.35 67.76 lineto
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.04 l
+1.53 -0.04 l
+1.52 -0.04 l
+1.52 -0.04 l
+1.52 -0.05 l
+1.52 -0.06 l
+1.52 -0.06 l
+1.53 -0.06 l
+1.52 -0.07 l
+1.52 -0.07 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.52 -0.08 l
+1.53 -0.09 l
+1.52 -0.09 l
+1.52 -0.10 l
+1.52 -0.10 l
+1.52 -0.10 l
+1.52 -0.11 l
+1.53 -0.11 l
+1.52 -0.10 l
+1.52 -0.11 l
+1.52 -0.12 l
+1.52 -0.11 l
+1.53 -0.11 l
+1.52 -0.11 l
+1.52 -0.11 l
+1.52 -0.11 l
+1.52 -0.10 l
+1.52 -0.11 l
+1.53 -0.10 l
+1.52 -0.10 l
+1.52 -0.09 l
+1.52 -0.10 l
+1.52 -0.09 l
+1.52 -0.08 l
+1.53 -0.09 l
+1.52 -0.07 l
+1.52 -0.08 l
+1.52 -0.07 l
+1.52 -0.07 l
+1.52 -0.06 l
+1.53 -0.06 l
+1.52 -0.06 l
+1.52 -0.05 l
+1.52 -0.05 l
+1.52 -0.05 l
+1.52 -0.04 l
+1.53 -0.04 l
+1.52 -0.04 l
+1.52 -0.04 l
+1.52 -0.03 l
+1.52 -0.04 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.04 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.04 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+626.52 62.29 lineto
+1.52 -0.04 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.53 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.53 -0.02 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.52 -0.03 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.53 -0.02 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.53 -0.02 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.53 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.53 -0.01 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.53 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.53 -0.01 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.53 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.53 -0.01 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.02 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.53 -0.01 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 0 l
+1.53 -0.01 l
+1.52 -0.01 l
+1.52 0 l
+1.52 -0.01 l
+1.52 -0.01 l
+1.52 0 l
+1.53 -0.01 l
+1.52 0 l
+1.52 0 l
+1.52 -0.01 l
+1.52 0 l
+1.52 0 l
+1.53 -0.01 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.53 0 l
+1.52 -0.01 l
+778.69 60.81 lineto
+1.52 0 l
+1.52 0 l
+1.52 0 l
+1.53 0 l
+1.52 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+65.07 56.02 m
+608.46 0 l
+o
+np
+65.07 56.02 m
+0 -2.38 l
+o
+np
+217.18 56.02 m
+0 -2.38 l
+o
+np
+369.30 56.02 m
+0 -2.38 l
+o
+np
+521.41 56.02 m
+0 -2.38 l
+o
+np
+673.53 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+65.07 42.71 (-0.4) .5 0 0 t
+217.18 42.71 (-0.2) .5 0 0 t
+369.30 42.71 (0.0) .5 0 0 t
+521.41 42.71 (0.2) .5 0 0 t
+673.53 42.71 (0.4) .5 0 0 t
+np
+56.02 60.81 m
+0 118.01 l
+o
+np
+56.02 60.81 m
+-2.38 0 l
+o
+np
+56.02 80.48 m
+-2.38 0 l
+o
+np
+56.02 100.14 m
+-2.38 0 l
+o
+np
+56.02 119.81 m
+-2.38 0 l
+o
+np
+56.02 139.48 m
+-2.38 0 l
+o
+np
+56.02 159.15 m
+-2.38 0 l
+o
+np
+56.02 178.82 m
+-2.38 0 l
+o
+48.41 60.81 (0) .5 0 90 t
+48.41 80.48 (5) .5 0 90 t
+48.41 100.14 (10) .5 0 90 t
+48.41 119.81 (15) .5 0 90 t
+48.41 139.48 (20) .5 0 90 t
+48.41 159.15 (25) .5 0 90 t
+48.41 178.82 (30) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 8 def /Font1 findfont 8 s
+0 setgray
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.81 m
+758.37 0 l
+o
+0.5020 1 0 rgb
+0.75 setlinewidth
+[] 0 setdash
+np
+83.69 60.81 m
+0.85 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.85 0.02 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.02 l
+0.85 0.01 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.85 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.85 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 0 l
+169.64 61.54 lineto
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.03 l
+0.86 0.02 l
+0.86 0.03 l
+0.86 0.03 l
+0.85 0.04 l
+0.86 0.03 l
+0.86 0.04 l
+0.86 0.04 l
+0.86 0.04 l
+0.86 0.05 l
+0.86 0.04 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.05 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.07 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.06 l
+0.85 0.07 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.06 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.04 l
+0.86 0.04 l
+0.86 0.04 l
+0.86 0.04 l
+0.85 0.03 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0.01 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.85 0 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0.01 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.02 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.04 l
+255.60 64.63 lineto
+0.86 0.06 l
+0.86 0.05 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.08 l
+0.86 0.08 l
+0.86 0.10 l
+0.86 0.09 l
+0.86 0.11 l
+0.85 0.11 l
+0.86 0.13 l
+0.86 0.12 l
+0.86 0.14 l
+0.86 0.13 l
+0.86 0.15 l
+0.86 0.15 l
+0.86 0.15 l
+0.86 0.16 l
+0.86 0.16 l
+0.86 0.16 l
+0.86 0.16 l
+0.86 0.17 l
+0.86 0.16 l
+0.86 0.17 l
+0.86 0.16 l
+0.86 0.15 l
+0.86 0.16 l
+0.86 0.15 l
+0.86 0.15 l
+0.86 0.14 l
+0.86 0.13 l
+0.86 0.13 l
+0.85 0.12 l
+0.86 0.12 l
+0.86 0.10 l
+0.86 0.11 l
+0.86 0.09 l
+0.86 0.09 l
+0.86 0.08 l
+0.86 0.08 l
+0.86 0.07 l
+0.86 0.06 l
+0.86 0.06 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.04 l
+0.86 0.04 l
+0.86 0.04 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.03 l
+0.86 0.02 l
+0.86 0.02 l
+0.85 0.03 l
+0.86 0.03 l
+0.86 0.02 l
+0.86 0.03 l
+0.86 0.04 l
+0.86 0.03 l
+0.86 0.04 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.05 l
+0.86 0.07 l
+0.86 0.07 l
+0.86 0.08 l
+0.86 0.08 l
+0.86 0.10 l
+0.86 0.10 l
+0.86 0.10 l
+0.86 0.12 l
+0.86 0.13 l
+0.86 0.13 l
+0.86 0.13 l
+0.86 0.15 l
+0.86 0.14 l
+0.85 0.16 l
+0.86 0.16 l
+0.86 0.16 l
+0.86 0.16 l
+0.86 0.17 l
+0.86 0.17 l
+0.86 0.17 l
+0.86 0.18 l
+0.86 0.17 l
+0.86 0.18 l
+0.86 0.18 l
+0.86 0.19 l
+0.86 0.18 l
+0.86 0.19 l
+0.86 0.20 l
+0.86 0.20 l
+0.86 0.20 l
+0.86 0.21 l
+0.86 0.22 l
+0.86 0.23 l
+0.86 0.24 l
+341.56 76.05 lineto
+0.86 0.25 l
+0.86 0.27 l
+0.85 0.27 l
+0.86 0.29 l
+0.86 0.30 l
+0.86 0.31 l
+0.86 0.32 l
+0.86 0.33 l
+0.86 0.34 l
+0.86 0.36 l
+0.86 0.37 l
+0.86 0.37 l
+0.86 0.39 l
+0.86 0.39 l
+0.86 0.41 l
+0.86 0.41 l
+0.86 0.42 l
+0.86 0.43 l
+0.86 0.43 l
+0.86 0.44 l
+0.86 0.45 l
+0.86 0.45 l
+0.86 0.46 l
+0.86 0.45 l
+0.86 0.46 l
+0.85 0.46 l
+0.86 0.45 l
+0.86 0.45 l
+0.86 0.45 l
+0.86 0.45 l
+0.86 0.43 l
+0.86 0.43 l
+0.86 0.41 l
+0.86 0.41 l
+0.86 0.38 l
+0.86 0.37 l
+0.86 0.36 l
+0.86 0.32 l
+0.86 0.30 l
+0.86 0.28 l
+0.86 0.25 l
+0.86 0.22 l
+0.86 0.19 l
+0.86 0.15 l
+0.86 0.12 l
+0.86 0.08 l
+0.86 0.04 l
+0.86 0.01 l
+0.85 -0.04 l
+0.86 -0.08 l
+0.86 -0.12 l
+0.86 -0.16 l
+0.86 -0.20 l
+0.86 -0.24 l
+0.86 -0.29 l
+0.86 -0.32 l
+0.86 -0.36 l
+0.86 -0.40 l
+0.86 -0.43 l
+0.86 -0.46 l
+0.86 -0.50 l
+0.86 -0.53 l
+0.86 -0.56 l
+0.86 -0.58 l
+0.86 -0.60 l
+0.86 -0.62 l
+0.86 -0.64 l
+0.86 -0.66 l
+0.86 -0.67 l
+0.86 -0.68 l
+0.86 -0.68 l
+0.85 -0.70 l
+0.86 -0.69 l
+0.86 -0.69 l
+0.86 -0.69 l
+0.86 -0.69 l
+0.86 -0.68 l
+0.86 -0.67 l
+0.86 -0.66 l
+0.86 -0.65 l
+0.86 -0.63 l
+0.86 -0.62 l
+0.86 -0.61 l
+0.86 -0.58 l
+0.86 -0.57 l
+0.86 -0.54 l
+0.86 -0.53 l
+0.86 -0.51 l
+0.86 -0.50 l
+0.86 -0.47 l
+0.86 -0.45 l
+0.86 -0.43 l
+0.86 -0.41 l
+0.86 -0.40 l
+0.85 -0.38 l
+0.86 -0.37 l
+0.86 -0.34 l
+0.86 -0.33 l
+0.86 -0.32 l
+427.51 67.19 lineto
+0.86 -0.29 l
+0.86 -0.28 l
+0.86 -0.27 l
+0.86 -0.26 l
+0.86 -0.25 l
+0.86 -0.24 l
+0.86 -0.22 l
+0.86 -0.22 l
+0.86 -0.21 l
+0.86 -0.21 l
+0.86 -0.19 l
+0.86 -0.19 l
+0.86 -0.19 l
+0.86 -0.17 l
+0.86 -0.17 l
+0.86 -0.16 l
+0.86 -0.16 l
+0.86 -0.15 l
+0.85 -0.14 l
+0.86 -0.14 l
+0.86 -0.13 l
+0.86 -0.13 l
+0.86 -0.13 l
+0.86 -0.12 l
+0.86 -0.11 l
+0.86 -0.11 l
+0.86 -0.10 l
+0.86 -0.10 l
+0.86 -0.10 l
+0.86 -0.09 l
+0.86 -0.09 l
+0.86 -0.08 l
+0.86 -0.08 l
+0.86 -0.07 l
+0.86 -0.07 l
+0.86 -0.07 l
+0.86 -0.06 l
+0.86 -0.05 l
+0.86 -0.06 l
+0.86 -0.05 l
+0.86 -0.04 l
+0.85 -0.05 l
+0.86 -0.03 l
+0.86 -0.04 l
+0.86 -0.03 l
+0.86 -0.03 l
+0.86 -0.02 l
+0.86 -0.03 l
+0.86 -0.02 l
+0.86 -0.01 l
+0.86 -0.02 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 -0.01 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.85 0 l
+0.86 0 l
+0.86 0 l
+0.86 0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.85 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+513.47 60.82 lineto
+0.86 0 l
+0.86 0 l
+0.86 -0.01 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.86 0 l
+0.85 0 l
+o
+0 1 1 rgb
+np
+225.59 60.81 m
+0.79 0 l
+0.79 0 l
+0.78 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0 l
+0.78 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0.02 l
+0.79 0.02 l
+0.79 0.02 l
+0.79 0.02 l
+0.79 0.03 l
+0.79 0.03 l
+0.79 0.04 l
+0.79 0.04 l
+0.79 0.04 l
+0.79 0.06 l
+0.79 0.05 l
+0.79 0.06 l
+0.78 0.07 l
+0.79 0.07 l
+0.79 0.08 l
+0.79 0.08 l
+0.79 0.08 l
+0.79 0.09 l
+0.79 0.10 l
+0.79 0.09 l
+0.79 0.10 l
+0.79 0.10 l
+0.79 0.10 l
+0.79 0.10 l
+0.79 0.09 l
+0.79 0.10 l
+0.79 0.09 l
+0.79 0.09 l
+0.79 0.09 l
+0.79 0.09 l
+0.79 0.09 l
+0.79 0.08 l
+0.79 0.08 l
+0.79 0.08 l
+0.79 0.08 l
+0.79 0.08 l
+0.78 0.08 l
+0.79 0.09 l
+0.79 0.09 l
+0.79 0.10 l
+0.79 0.10 l
+0.79 0.12 l
+0.79 0.12 l
+0.79 0.13 l
+0.79 0.14 l
+0.79 0.16 l
+0.79 0.17 l
+0.79 0.18 l
+0.79 0.19 l
+0.79 0.20 l
+0.79 0.22 l
+0.79 0.23 l
+0.79 0.24 l
+0.79 0.25 l
+0.79 0.26 l
+0.79 0.26 l
+0.79 0.28 l
+0.79 0.28 l
+0.79 0.28 l
+0.79 0.29 l
+304.54 68.30 lineto
+0.79 0.29 l
+0.79 0.29 l
+0.79 0.30 l
+0.79 0.30 l
+0.79 0.30 l
+0.79 0.30 l
+0.79 0.30 l
+0.79 0.31 l
+0.79 0.31 l
+0.79 0.32 l
+0.79 0.33 l
+0.79 0.33 l
+0.79 0.34 l
+0.79 0.34 l
+0.79 0.36 l
+0.79 0.37 l
+0.79 0.38 l
+0.79 0.40 l
+0.79 0.40 l
+0.79 0.42 l
+0.79 0.42 l
+0.79 0.44 l
+0.79 0.45 l
+0.79 0.46 l
+0.78 0.46 l
+0.79 0.47 l
+0.79 0.48 l
+0.79 0.48 l
+0.79 0.47 l
+0.79 0.48 l
+0.79 0.48 l
+0.79 0.47 l
+0.79 0.47 l
+0.79 0.46 l
+0.79 0.45 l
+0.79 0.44 l
+0.79 0.44 l
+0.79 0.42 l
+0.79 0.41 l
+0.79 0.40 l
+0.79 0.39 l
+0.79 0.38 l
+0.79 0.37 l
+0.79 0.36 l
+0.79 0.35 l
+0.79 0.34 l
+0.79 0.33 l
+0.79 0.32 l
+0.78 0.31 l
+0.79 0.30 l
+0.79 0.29 l
+0.79 0.28 l
+0.79 0.27 l
+0.79 0.26 l
+0.79 0.25 l
+0.79 0.24 l
+0.79 0.22 l
+0.79 0.21 l
+0.79 0.19 l
+0.79 0.19 l
+0.79 0.16 l
+0.79 0.14 l
+0.79 0.14 l
+0.79 0.11 l
+0.79 0.10 l
+0.79 0.08 l
+0.79 0.06 l
+0.79 0.05 l
+0.79 0.03 l
+0.79 0.02 l
+0.79 0.01 l
+0.79 -0.01 l
+0.78 -0.03 l
+0.79 -0.03 l
+0.79 -0.05 l
+0.79 -0.07 l
+0.79 -0.07 l
+0.79 -0.09 l
+0.79 -0.09 l
+0.79 -0.12 l
+0.79 -0.13 l
+0.79 -0.14 l
+0.79 -0.15 l
+0.79 -0.17 l
+0.79 -0.19 l
+0.79 -0.21 l
+0.79 -0.22 l
+0.79 -0.24 l
+0.79 -0.25 l
+0.79 -0.27 l
+0.79 -0.29 l
+0.79 -0.30 l
+0.79 -0.31 l
+0.79 -0.32 l
+0.79 -0.33 l
+0.79 -0.34 l
+0.79 -0.33 l
+0.78 -0.34 l
+0.79 -0.34 l
+383.50 85.03 lineto
+0.79 -0.32 l
+0.79 -0.32 l
+0.79 -0.30 l
+0.79 -0.29 l
+0.79 -0.27 l
+0.79 -0.26 l
+0.79 -0.24 l
+0.79 -0.22 l
+0.79 -0.21 l
+0.79 -0.20 l
+0.79 -0.18 l
+0.79 -0.17 l
+0.79 -0.17 l
+0.79 -0.16 l
+0.79 -0.15 l
+0.79 -0.16 l
+0.79 -0.16 l
+0.79 -0.16 l
+0.79 -0.18 l
+0.79 -0.18 l
+0.79 -0.20 l
+0.78 -0.21 l
+0.79 -0.23 l
+0.79 -0.25 l
+0.79 -0.26 l
+0.79 -0.28 l
+0.79 -0.29 l
+0.79 -0.31 l
+0.79 -0.33 l
+0.79 -0.34 l
+0.79 -0.35 l
+0.79 -0.36 l
+0.79 -0.36 l
+0.79 -0.38 l
+0.79 -0.37 l
+0.79 -0.38 l
+0.79 -0.37 l
+0.79 -0.37 l
+0.79 -0.37 l
+0.79 -0.36 l
+0.79 -0.35 l
+0.79 -0.34 l
+0.79 -0.33 l
+0.79 -0.32 l
+0.79 -0.31 l
+0.78 -0.29 l
+0.79 -0.28 l
+0.79 -0.26 l
+0.79 -0.25 l
+0.79 -0.23 l
+0.79 -0.21 l
+0.79 -0.20 l
+0.79 -0.19 l
+0.79 -0.17 l
+0.79 -0.17 l
+0.79 -0.14 l
+0.79 -0.14 l
+0.79 -0.13 l
+0.79 -0.12 l
+0.79 -0.11 l
+0.79 -0.10 l
+0.79 -0.10 l
+0.79 -0.10 l
+0.79 -0.10 l
+0.79 -0.10 l
+0.79 -0.09 l
+0.79 -0.10 l
+0.79 -0.11 l
+0.79 -0.11 l
+0.79 -0.11 l
+0.78 -0.12 l
+0.79 -0.12 l
+0.79 -0.13 l
+0.79 -0.14 l
+0.79 -0.14 l
+0.79 -0.15 l
+0.79 -0.16 l
+0.79 -0.15 l
+0.79 -0.17 l
+0.79 -0.16 l
+0.79 -0.17 l
+0.79 -0.17 l
+0.79 -0.17 l
+0.79 -0.17 l
+0.79 -0.17 l
+0.79 -0.16 l
+0.79 -0.17 l
+0.79 -0.16 l
+0.79 -0.16 l
+0.79 -0.16 l
+0.79 -0.16 l
+0.79 -0.15 l
+0.79 -0.14 l
+0.79 -0.14 l
+0.78 -0.14 l
+0.79 -0.13 l
+0.79 -0.13 l
+0.79 -0.12 l
+0.79 -0.12 l
+462.46 64.36 lineto
+0.79 -0.11 l
+0.79 -0.11 l
+0.79 -0.10 l
+0.79 -0.09 l
+0.79 -0.09 l
+0.79 -0.09 l
+0.79 -0.09 l
+0.79 -0.08 l
+0.79 -0.08 l
+0.79 -0.07 l
+0.79 -0.07 l
+0.79 -0.07 l
+0.79 -0.07 l
+0.79 -0.06 l
+0.79 -0.07 l
+0.79 -0.06 l
+0.79 -0.05 l
+0.79 -0.06 l
+0.78 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.04 l
+0.79 -0.04 l
+0.79 -0.04 l
+0.79 -0.04 l
+0.79 -0.03 l
+0.79 -0.03 l
+0.79 -0.03 l
+0.79 -0.03 l
+0.79 -0.02 l
+0.79 -0.03 l
+0.79 -0.02 l
+0.79 -0.02 l
+0.79 -0.02 l
+0.79 -0.02 l
+0.79 -0.02 l
+0.79 -0.03 l
+0.79 -0.02 l
+0.79 -0.03 l
+0.79 -0.02 l
+0.79 -0.03 l
+0.78 -0.04 l
+0.79 -0.03 l
+0.79 -0.04 l
+0.79 -0.04 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.06 l
+0.79 -0.05 l
+0.79 -0.06 l
+0.79 -0.05 l
+0.79 -0.06 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.05 l
+0.79 -0.04 l
+0.79 -0.04 l
+0.79 -0.04 l
+0.79 -0.03 l
+0.79 -0.04 l
+0.79 -0.03 l
+0.78 -0.02 l
+0.79 -0.03 l
+0.79 -0.02 l
+0.79 -0.02 l
+0.79 -0.02 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0.01 l
+0.78 0 l
+0.79 0.01 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+541.42 60.95 lineto
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.78 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 0 l
+0.78 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.78 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.78 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 0 l
+620.38 60.82 lineto
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 -0.01 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+0.79 0 l
+o
+0.5020 0 1 rgb
+np
+315.09 60.82 m
+0.41 0 l
+0.41 0.01 l
+0.40 0 l
+0.41 0.02 l
+0.41 0.01 l
+0.41 0.02 l
+0.41 0.03 l
+0.41 0.04 l
+0.40 0.04 l
+0.41 0.06 l
+0.41 0.06 l
+0.41 0.07 l
+0.41 0.08 l
+0.41 0.09 l
+0.41 0.10 l
+0.40 0.10 l
+0.41 0.09 l
+0.41 0.10 l
+0.41 0.09 l
+0.41 0.09 l
+0.41 0.08 l
+0.40 0.07 l
+0.41 0.07 l
+0.41 0.06 l
+0.41 0.06 l
+0.41 0.06 l
+0.41 0.05 l
+0.40 0.06 l
+0.41 0.05 l
+0.41 0.06 l
+0.41 0.05 l
+0.41 0.06 l
+0.41 0.06 l
+0.41 0.06 l
+0.40 0.07 l
+0.41 0.07 l
+0.41 0.09 l
+0.41 0.09 l
+0.41 0.11 l
+0.41 0.13 l
+0.40 0.16 l
+0.41 0.17 l
+0.41 0.20 l
+0.41 0.23 l
+0.41 0.24 l
+0.41 0.26 l
+0.40 0.27 l
+0.41 0.29 l
+0.41 0.28 l
+0.41 0.29 l
+0.41 0.28 l
+0.41 0.28 l
+0.41 0.26 l
+0.40 0.27 l
+0.41 0.26 l
+0.41 0.26 l
+0.41 0.27 l
+0.41 0.28 l
+0.41 0.30 l
+0.40 0.32 l
+0.41 0.35 l
+0.41 0.37 l
+0.41 0.41 l
+0.41 0.44 l
+0.41 0.46 l
+0.40 0.49 l
+0.41 0.50 l
+0.41 0.52 l
+0.41 0.52 l
+0.41 0.52 l
+0.41 0.51 l
+0.41 0.49 l
+0.40 0.47 l
+0.41 0.43 l
+0.41 0.40 l
+0.41 0.35 l
+0.41 0.32 l
+0.41 0.27 l
+0.40 0.24 l
+0.41 0.21 l
+0.41 0.21 l
+0.41 0.21 l
+0.41 0.23 l
+0.41 0.28 l
+0.40 0.35 l
+0.41 0.43 l
+0.41 0.54 l
+0.41 0.65 l
+0.41 0.77 l
+0.41 0.90 l
+0.41 1.03 l
+0.40 1.15 l
+0.41 1.29 l
+0.41 1.42 l
+0.41 1.57 l
+0.41 1.74 l
+0.41 1.91 l
+0.40 2.09 l
+0.41 2.28 l
+355.93 98.30 lineto
+0.41 2.68 l
+0.41 2.87 l
+0.41 3.05 l
+0.40 3.21 l
+0.41 3.34 l
+0.41 3.45 l
+0.41 3.51 l
+0.41 3.56 l
+0.41 3.56 l
+0.41 3.55 l
+0.40 3.52 l
+0.41 3.47 l
+0.41 3.41 l
+0.41 3.34 l
+0.41 3.26 l
+0.41 3.19 l
+0.40 3.09 l
+0.41 3.01 l
+0.41 2.94 l
+0.41 2.84 l
+0.41 2.76 l
+0.41 2.64 l
+0.41 2.50 l
+0.40 2.34 l
+0.41 2.12 l
+0.41 1.85 l
+0.41 1.51 l
+0.41 1.07 l
+0.41 0.60 l
+0.40 0.08 l
+0.41 -0.47 l
+0.41 -1.05 l
+0.41 -1.64 l
+0.41 -2.21 l
+0.41 -2.76 l
+0.40 -3.25 l
+0.41 -3.68 l
+0.41 -4.06 l
+0.41 -4.32 l
+0.41 -4.49 l
+0.41 -4.55 l
+0.41 -4.54 l
+0.40 -4.44 l
+0.41 -4.29 l
+0.41 -4.07 l
+0.41 -3.82 l
+0.41 -3.53 l
+0.41 -3.26 l
+0.40 -2.94 l
+0.41 -2.67 l
+0.41 -2.43 l
+0.41 -2.21 l
+0.41 -2.01 l
+0.41 -1.85 l
+0.40 -1.69 l
+0.41 -1.55 l
+0.41 -1.41 l
+0.41 -1.27 l
+0.41 -1.15 l
+0.41 -1.00 l
+0.41 -0.86 l
+0.40 -0.75 l
+0.41 -0.64 l
+0.41 -0.54 l
+0.41 -0.46 l
+0.41 -0.40 l
+0.41 -0.36 l
+0.40 -0.35 l
+0.41 -0.34 l
+0.41 -0.35 l
+0.41 -0.38 l
+0.41 -0.41 l
+0.41 -0.44 l
+0.40 -0.46 l
+0.41 -0.50 l
+0.41 -0.51 l
+0.41 -0.53 l
+0.41 -0.54 l
+0.41 -0.53 l
+0.41 -0.53 l
+0.40 -0.53 l
+0.41 -0.51 l
+0.41 -0.51 l
+0.41 -0.53 l
+0.41 -0.53 l
+0.41 -0.56 l
+0.40 -0.60 l
+0.41 -0.64 l
+0.41 -0.68 l
+0.41 -0.73 l
+0.41 -0.76 l
+0.41 -0.78 l
+0.40 -0.79 l
+0.41 -0.77 l
+0.41 -0.75 l
+0.41 -0.70 l
+0.41 -0.65 l
+0.41 -0.60 l
+0.41 -0.53 l
+396.77 75.50 lineto
+0.41 -0.43 l
+0.41 -0.39 l
+0.41 -0.36 l
+0.41 -0.33 l
+0.41 -0.32 l
+0.40 -0.31 l
+0.41 -0.31 l
+0.41 -0.31 l
+0.41 -0.30 l
+0.41 -0.30 l
+0.41 -0.30 l
+0.40 -0.29 l
+0.41 -0.28 l
+0.41 -0.27 l
+0.41 -0.26 l
+0.41 -0.25 l
+0.41 -0.25 l
+0.41 -0.25 l
+0.40 -0.26 l
+0.41 -0.27 l
+0.41 -0.29 l
+0.41 -0.31 l
+0.41 -0.33 l
+0.41 -0.35 l
+0.40 -0.36 l
+0.41 -0.36 l
+0.41 -0.35 l
+0.41 -0.35 l
+0.41 -0.32 l
+0.41 -0.29 l
+0.40 -0.25 l
+0.41 -0.22 l
+0.41 -0.18 l
+0.41 -0.13 l
+0.41 -0.10 l
+0.41 -0.07 l
+0.41 -0.04 l
+0.40 -0.03 l
+0.41 -0.03 l
+0.41 -0.02 l
+0.41 -0.04 l
+0.41 -0.06 l
+0.41 -0.07 l
+0.40 -0.09 l
+0.41 -0.11 l
+0.41 -0.12 l
+0.41 -0.12 l
+0.41 -0.13 l
+0.41 -0.12 l
+0.41 -0.10 l
+0.40 -0.08 l
+0.41 -0.06 l
+0.41 -0.02 l
+0.41 0 l
+0.41 0.03 l
+0.41 0.06 l
+0.40 0.08 l
+0.41 0.10 l
+0.41 0.10 l
+0.41 0.10 l
+0.41 0.08 l
+0.41 0.06 l
+0.40 0.03 l
+0.41 -0.02 l
+0.41 -0.06 l
+0.41 -0.12 l
+0.41 -0.17 l
+0.41 -0.22 l
+0.41 -0.25 l
+0.40 -0.27 l
+0.41 -0.29 l
+0.41 -0.29 l
+0.41 -0.27 l
+0.41 -0.25 l
+0.41 -0.23 l
+0.40 -0.18 l
+0.41 -0.14 l
+0.41 -0.10 l
+0.41 -0.05 l
+0.41 -0.02 l
+0.41 0.01 l
+0.40 0.05 l
+0.41 0.06 l
+0.41 0.09 l
+0.41 0.09 l
+0.41 0.11 l
+0.41 0.11 l
+0.41 0.11 l
+0.40 0.10 l
+0.41 0.09 l
+0.41 0.09 l
+0.41 0.07 l
+0.41 0.05 l
+0.41 0.03 l
+0.40 0.02 l
+0.41 0.01 l
+0.41 -0.01 l
+0.41 -0.01 l
+0.41 -0.02 l
+437.62 62.70 lineto
+0.40 -0.01 l
+0.41 0 l
+0.41 0.01 l
+0.41 0.02 l
+0.41 0.04 l
+0.41 0.06 l
+0.41 0.06 l
+0.40 0.08 l
+0.41 0.08 l
+0.41 0.08 l
+0.41 0.07 l
+0.41 0.06 l
+0.41 0.05 l
+0.40 0.04 l
+0.41 0.01 l
+0.41 0 l
+0.41 -0.03 l
+0.41 -0.03 l
+0.41 -0.06 l
+0.40 -0.07 l
+0.41 -0.07 l
+0.41 -0.08 l
+0.41 -0.07 l
+0.41 -0.08 l
+0.41 -0.07 l
+0.41 -0.07 l
+0.40 -0.07 l
+0.41 -0.07 l
+0.41 -0.08 l
+0.41 -0.07 l
+0.41 -0.09 l
+0.41 -0.09 l
+0.40 -0.11 l
+0.41 -0.11 l
+0.41 -0.11 l
+0.41 -0.12 l
+0.41 -0.13 l
+0.41 -0.11 l
+0.40 -0.12 l
+0.41 -0.10 l
+0.41 -0.09 l
+0.41 -0.08 l
+0.41 -0.07 l
+0.41 -0.05 l
+0.41 -0.03 l
+0.40 -0.02 l
+0.41 -0.01 l
+0.41 0.02 l
+0.41 0.03 l
+0.41 0.04 l
+0.41 0.07 l
+0.40 0.07 l
+0.41 0.10 l
+0.41 0.11 l
+0.41 0.12 l
+0.41 0.13 l
+0.41 0.14 l
+0.40 0.14 l
+0.41 0.14 l
+0.41 0.13 l
+0.41 0.12 l
+0.41 0.10 l
+0.41 0.09 l
+0.41 0.05 l
+0.40 0.04 l
+0.41 0.01 l
+0.41 -0.02 l
+0.41 -0.04 l
+0.41 -0.06 l
+0.41 -0.09 l
+0.40 -0.09 l
+0.41 -0.11 l
+0.41 -0.12 l
+0.41 -0.12 l
+0.41 -0.11 l
+0.41 -0.10 l
+0.41 -0.10 l
+0.40 -0.08 l
+0.41 -0.07 l
+0.41 -0.05 l
+0.41 -0.04 l
+0.41 -0.03 l
+0.41 -0.03 l
+0.40 -0.02 l
+0.41 -0.02 l
+0.41 -0.02 l
+0.41 -0.03 l
+0.41 -0.03 l
+0.41 -0.03 l
+0.40 -0.04 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.41 -0.05 l
+0.41 -0.03 l
+0.41 -0.04 l
+0.40 -0.03 l
+0.41 -0.03 l
+0.41 -0.02 l
+478.46 60.86 lineto
+0.41 -0.02 l
+0.41 -0.01 l
+0.40 -0.01 l
+0.41 0 l
+0.41 0 l
+0.41 -0.01 l
+0.41 0 l
+0.41 0 l
+0.40 0 l
+0.41 0 l
+0.41 0.01 l
+0.41 0 l
+0.41 0 l
+0.41 0.01 l
+0.41 0.01 l
+0.40 0.01 l
+0.41 0.02 l
+0.41 0.02 l
+0.41 0.03 l
+0.41 0.04 l
+0.41 0.03 l
+0.40 0.05 l
+0.41 0.05 l
+0.41 0.05 l
+0.41 0.05 l
+0.41 0.06 l
+0.41 0.06 l
+0.40 0.05 l
+0.41 0.05 l
+0.41 0.04 l
+0.41 0.04 l
+0.41 0.02 l
+0.41 0.02 l
+0.41 0.01 l
+0.40 0 l
+0.41 -0.02 l
+0.41 -0.02 l
+0.41 -0.02 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.40 -0.04 l
+0.41 -0.05 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.41 -0.03 l
+0.41 -0.02 l
+0.40 -0.02 l
+0.41 0 l
+0.41 0 l
+0.41 0.01 l
+0.41 0.02 l
+0.41 0.02 l
+0.41 0.02 l
+0.40 0.01 l
+0.41 0.02 l
+0.41 0 l
+0.41 0 l
+0.41 -0.01 l
+0.41 -0.02 l
+0.40 -0.03 l
+0.41 -0.03 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.40 -0.04 l
+0.41 -0.03 l
+0.41 -0.03 l
+0.41 -0.02 l
+0.41 -0.02 l
+0.41 -0.02 l
+0.41 0 l
+0.40 -0.01 l
+0.41 0 l
+0.41 0 l
+0.41 0.01 l
+0.41 0.01 l
+0.41 0.01 l
+0.40 0.02 l
+0.41 0.02 l
+0.41 0.03 l
+0.41 0.03 l
+0.41 0.04 l
+0.41 0.04 l
+0.40 0.04 l
+0.41 0.04 l
+0.41 0.04 l
+0.41 0.03 l
+0.41 0.03 l
+0.41 0.01 l
+0.41 0.01 l
+0.40 0 l
+0.41 -0.01 l
+0.41 -0.02 l
+0.41 -0.03 l
+0.41 -0.04 l
+0.41 -0.04 l
+0.40 -0.04 l
+0.41 -0.04 l
+519.30 60.99 lineto
+0.41 -0.03 l
+0.41 -0.03 l
+0.41 -0.03 l
+0.41 -0.02 l
+0.40 -0.02 l
+0.41 -0.01 l
+0.41 -0.01 l
+0.41 -0.01 l
+0.41 -0.01 l
+0.41 0 l
+0.40 -0.01 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences: P\(Y=j|X1\)-P\(Y=j|X\)) .5 0 0 t
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 23 23
+bp
+75.60 355.24 809.49 548.48 cl
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+116.37 355.24 m
+652.35 0 l
+o
+np
+116.37 355.24 m
+0 -3.60 l
+o
+np
+225.10 355.24 m
+0 -3.60 l
+o
+np
+333.82 355.24 m
+0 -3.60 l
+o
+np
+442.54 355.24 m
+0 -3.60 l
+o
+np
+551.27 355.24 m
+0 -3.60 l
+o
+np
+659.99 355.24 m
+0 -3.60 l
+o
+np
+768.72 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+116.37 335.08 (0) .5 0 0 t
+225.10 335.08 (2) .5 0 0 t
+333.82 335.08 (4) .5 0 0 t
+442.54 335.08 (6) .5 0 0 t
+551.27 335.08 (8) .5 0 0 t
+659.99 335.08 (10) .5 0 0 t
+768.72 335.08 (12) .5 0 0 t
+np
+75.60 362.39 m
+0 177.16 l
+o
+np
+75.60 362.39 m
+-3.60 0 l
+o
+np
+75.60 406.68 m
+-3.60 0 l
+o
+np
+75.60 450.97 m
+-3.60 0 l
+o
+np
+75.60 495.26 m
+-3.60 0 l
+o
+np
+75.60 539.55 m
+-3.60 0 l
+o
+64.08 362.39 (0.0) .5 0 90 t
+64.08 406.68 (0.1) .5 0 90 t
+64.08 450.97 (0.2) .5 0 90 t
+64.08 495.26 (0.3) .5 0 90 t
+64.08 539.55 (0.4) .5 0 90 t
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Values: Y|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 451.86 (Probability) .5 0 90 t
+75.60 355.24 809.49 548.48 cl
+/bg { 0 1 1 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+102.78 362.39 27.18 35.43 r p3
+129.96 362.39 27.18 0.00 r p3
+157.14 362.39 27.18 110.72 r p3
+184.32 362.39 27.18 0.00 r p3
+211.51 362.39 27.18 176.27 r p3
+238.69 362.39 27.18 0.00 r p3
+265.87 362.39 27.18 178.92 r p3
+293.05 362.39 27.18 0.00 r p3
+320.23 362.39 27.18 171.84 r p3
+347.41 362.39 27.18 0.00 r p3
+374.59 362.39 27.18 120.46 r p3
+401.77 362.39 27.18 0.00 r p3
+428.95 362.39 27.18 45.17 r p3
+456.14 362.39 27.18 0.00 r p3
+483.32 362.39 27.18 20.37 r p3
+510.50 362.39 27.18 0.00 r p3
+537.68 362.39 27.18 16.83 r p3
+564.86 362.39 27.18 0.00 r p3
+592.04 362.39 27.18 6.20 r p3
+619.22 362.39 27.18 0.00 r p3
+646.40 362.39 27.18 1.77 r p3
+673.58 362.39 27.18 0.00 r p3
+700.77 362.39 27.18 0.89 r p3
+727.95 362.39 27.18 0.00 r p3
+755.13 362.39 27.18 0.89 r p3
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.77 m
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.14 l
+1.33 0.15 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.18 l
+1.33 0.19 l
+1.33 0.21 l
+1.33 0.21 l
+1.32 0.22 l
+1.33 0.23 l
+1.33 0.24 l
+1.33 0.24 l
+1.33 0.24 l
+1.33 0.24 l
+1.33 0.25 l
+1.33 0.24 l
+1.33 0.24 l
+1.33 0.23 l
+1.33 0.23 l
+1.33 0.22 l
+1.33 0.21 l
+1.33 0.21 l
+1.33 0.19 l
+1.33 0.19 l
+1.33 0.19 l
+1.33 0.18 l
+1.33 0.17 l
+1.33 0.18 l
+1.33 0.17 l
+1.33 0.18 l
+1.33 0.19 l
+1.33 0.19 l
+1.33 0.21 l
+1.33 0.23 l
+1.33 0.25 l
+1.33 0.28 l
+1.33 0.31 l
+1.33 0.33 l
+1.33 0.37 l
+1.33 0.41 l
+1.33 0.45 l
+1.33 0.50 l
+1.33 0.53 l
+1.33 0.57 l
+1.33 0.62 l
+1.33 0.67 l
+1.33 0.71 l
+1.33 0.74 l
+1.33 0.79 l
+1.33 0.82 l
+1.33 0.85 l
+1.33 0.90 l
+1.33 0.92 l
+1.33 0.95 l
+1.33 0.97 l
+1.33 0.99 l
+1.33 1.02 l
+1.33 1.04 l
+1.32 1.05 l
+1.33 1.07 l
+1.33 1.08 l
+1.33 1.10 l
+1.33 1.11 l
+1.33 1.12 l
+1.33 1.14 l
+1.33 1.16 l
+1.33 1.17 l
+1.33 1.18 l
+1.33 1.21 l
+1.33 1.23 l
+1.33 1.24 l
+1.33 1.27 l
+1.33 1.30 l
+1.33 1.32 l
+1.33 1.36 l
+1.33 1.39 l
+1.33 1.42 l
+235.76 131.05 lineto
+1.33 1.49 l
+1.33 1.54 l
+1.33 1.58 l
+1.33 1.62 l
+1.33 1.67 l
+1.33 1.72 l
+1.33 1.77 l
+1.33 1.83 l
+1.33 1.88 l
+1.33 1.93 l
+1.33 1.98 l
+1.33 2.04 l
+1.33 2.10 l
+1.33 2.16 l
+1.33 2.21 l
+1.33 2.25 l
+1.33 2.30 l
+1.33 2.35 l
+1.33 2.38 l
+1.33 2.43 l
+1.33 2.45 l
+1.33 2.47 l
+1.33 2.49 l
+1.33 2.49 l
+1.33 2.50 l
+1.33 2.49 l
+1.33 2.47 l
+1.33 2.45 l
+1.33 2.42 l
+1.33 2.38 l
+1.32 2.32 l
+1.33 2.26 l
+1.33 2.19 l
+1.33 2.13 l
+1.33 2.05 l
+1.33 1.96 l
+1.33 1.86 l
+1.33 1.77 l
+1.33 1.67 l
+1.33 1.57 l
+1.33 1.48 l
+1.33 1.36 l
+1.33 1.26 l
+1.33 1.17 l
+1.33 1.07 l
+1.33 0.99 l
+1.33 0.91 l
+1.33 0.82 l
+1.33 0.76 l
+1.33 0.71 l
+1.33 0.66 l
+1.33 0.63 l
+1.33 0.59 l
+1.33 0.59 l
+1.33 0.59 l
+1.33 0.60 l
+1.33 0.62 l
+1.33 0.64 l
+1.33 0.70 l
+1.33 0.75 l
+1.33 0.80 l
+1.33 0.86 l
+1.33 0.93 l
+1.33 0.99 l
+1.33 1.08 l
+1.33 1.14 l
+1.33 1.20 l
+1.33 1.26 l
+1.33 1.31 l
+1.33 1.36 l
+1.33 1.39 l
+1.33 1.42 l
+1.33 1.42 l
+1.33 1.42 l
+1.33 1.42 l
+1.33 1.38 l
+1.33 1.33 l
+1.33 1.29 l
+1.33 1.22 l
+1.33 1.15 l
+1.32 1.07 l
+1.33 0.95 l
+1.33 0.85 l
+1.33 0.75 l
+1.33 0.64 l
+1.33 0.54 l
+1.33 0.42 l
+1.33 0.28 l
+1.33 0.17 l
+1.33 0.07 l
+1.33 -0.03 l
+1.33 -0.13 l
+1.33 -0.23 l
+1.33 -0.33 l
+1.33 -0.40 l
+1.33 -0.48 l
+1.33 -0.54 l
+1.33 -0.59 l
+1.33 -0.66 l
+368.74 257.60 lineto
+1.33 -0.73 l
+1.33 -0.76 l
+1.33 -0.79 l
+1.33 -0.80 l
+1.33 -0.81 l
+1.33 -0.82 l
+1.33 -0.83 l
+1.33 -0.82 l
+1.33 -0.82 l
+1.33 -0.82 l
+1.33 -0.81 l
+1.33 -0.80 l
+1.33 -0.79 l
+1.33 -0.79 l
+1.33 -0.78 l
+1.33 -0.77 l
+1.33 -0.77 l
+1.33 -0.77 l
+1.33 -0.77 l
+1.33 -0.78 l
+1.33 -0.79 l
+1.33 -0.80 l
+1.33 -0.83 l
+1.33 -0.84 l
+1.33 -0.88 l
+1.33 -0.90 l
+1.33 -0.94 l
+1.33 -0.98 l
+1.33 -1.03 l
+1.32 -1.07 l
+1.33 -1.12 l
+1.33 -1.17 l
+1.33 -1.22 l
+1.33 -1.29 l
+1.33 -1.33 l
+1.33 -1.38 l
+1.33 -1.43 l
+1.33 -1.48 l
+1.33 -1.54 l
+1.33 -1.58 l
+1.33 -1.62 l
+1.33 -1.66 l
+1.33 -1.69 l
+1.33 -1.73 l
+1.33 -1.76 l
+1.33 -1.79 l
+1.33 -1.81 l
+1.33 -1.84 l
+1.33 -1.85 l
+1.33 -1.87 l
+1.33 -1.88 l
+1.33 -1.90 l
+1.33 -1.91 l
+1.33 -1.91 l
+1.33 -1.93 l
+1.33 -1.93 l
+1.33 -1.95 l
+1.33 -1.94 l
+1.33 -1.95 l
+1.33 -1.95 l
+1.33 -1.95 l
+1.33 -1.95 l
+1.33 -1.95 l
+1.33 -1.94 l
+1.33 -1.93 l
+1.33 -1.92 l
+1.33 -1.91 l
+1.33 -1.89 l
+1.33 -1.87 l
+1.33 -1.85 l
+1.33 -1.82 l
+1.33 -1.79 l
+1.33 -1.76 l
+1.33 -1.71 l
+1.33 -1.68 l
+1.33 -1.63 l
+1.33 -1.59 l
+1.33 -1.55 l
+1.33 -1.49 l
+1.32 -1.43 l
+1.33 -1.39 l
+1.33 -1.33 l
+1.33 -1.28 l
+1.33 -1.24 l
+1.33 -1.17 l
+1.33 -1.13 l
+1.33 -1.08 l
+1.33 -1.05 l
+1.33 -1.00 l
+1.33 -0.97 l
+1.33 -0.92 l
+1.33 -0.91 l
+1.33 -0.88 l
+1.33 -0.86 l
+1.33 -0.85 l
+1.33 -0.84 l
+1.33 -0.84 l
+1.33 -0.84 l
+1.33 -0.84 l
+501.72 126.42 lineto
+1.33 -0.87 l
+1.33 -0.88 l
+1.33 -0.91 l
+1.33 -0.92 l
+1.33 -0.95 l
+1.33 -0.97 l
+1.33 -1.00 l
+1.33 -1.02 l
+1.33 -1.05 l
+1.33 -1.07 l
+1.33 -1.08 l
+1.33 -1.11 l
+1.33 -1.11 l
+1.33 -1.12 l
+1.33 -1.13 l
+1.33 -1.12 l
+1.33 -1.12 l
+1.33 -1.11 l
+1.33 -1.10 l
+1.33 -1.07 l
+1.33 -1.04 l
+1.33 -1.01 l
+1.33 -0.99 l
+1.33 -0.95 l
+1.33 -0.90 l
+1.33 -0.85 l
+1.33 -0.81 l
+1.33 -0.77 l
+1.33 -0.73 l
+1.32 -0.67 l
+1.33 -0.62 l
+1.33 -0.57 l
+1.33 -0.53 l
+1.33 -0.48 l
+1.33 -0.45 l
+1.33 -0.39 l
+1.33 -0.36 l
+1.33 -0.31 l
+1.33 -0.29 l
+1.33 -0.25 l
+1.33 -0.22 l
+1.33 -0.20 l
+1.33 -0.16 l
+1.33 -0.14 l
+1.33 -0.13 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.06 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.13 l
+1.33 -0.15 l
+1.33 -0.16 l
+1.33 -0.17 l
+1.33 -0.18 l
+1.33 -0.20 l
+1.33 -0.21 l
+1.33 -0.21 l
+1.33 -0.22 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.32 -0.23 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.22 l
+1.33 -0.22 l
+1.33 -0.21 l
+1.33 -0.20 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.18 l
+1.33 -0.18 l
+1.33 -0.17 l
+1.33 -0.16 l
+1.33 -0.16 l
+1.33 -0.15 l
+1.33 -0.14 l
+1.33 -0.13 l
+1.33 -0.13 l
+1.33 -0.12 l
+634.70 84.04 lineto
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.03 l
+1.32 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.32 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+767.68 82.82 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+113.57 75.60 m
+673.01 0 l
+o
+np
+113.57 75.60 m
+0 -3.60 l
+o
+np
+281.82 75.60 m
+0 -3.60 l
+o
+np
+450.08 75.60 m
+0 -3.60 l
+o
+np
+618.33 75.60 m
+0 -3.60 l
+o
+np
+786.58 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+113.57 55.44 (2.5) .5 0 0 t
+281.82 55.44 (3.0) .5 0 0 t
+450.08 55.44 (3.5) .5 0 0 t
+618.33 55.44 (4.0) .5 0 0 t
+786.58 55.44 (4.5) .5 0 0 t
+np
+75.60 82.75 m
+0 160.62 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 136.29 m
+-3.60 0 l
+o
+np
+75.60 189.83 m
+-3.60 0 l
+o
+np
+75.60 243.37 m
+-3.60 0 l
+o
+64.08 82.75 (0.0) .5 0 90 t
+64.08 136.29 (0.5) .5 0 90 t
+64.08 189.83 (1.0) .5 0 90 t
+64.08 243.37 (1.5) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 24 24
+bp
+18.00 297.64 823.89 577.28 cl
+18.00 297.64 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+75.60 362.39 730.95 81.33 r p3
+75.60 459.99 2.94 81.33 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+66.96 398.75 (Y = 0) 1 0 0 t
+66.96 496.35 (Y = 1) 1 0 0 t
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Values: Y|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 314.92 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 355.24 m
+733.89 0 l
+o
+np
+75.60 355.24 m
+0 -3.60 l
+o
+np
+222.38 355.24 m
+0 -3.60 l
+o
+np
+369.16 355.24 m
+0 -3.60 l
+o
+np
+515.93 355.24 m
+0 -3.60 l
+o
+np
+662.71 355.24 m
+0 -3.60 l
+o
+np
+809.49 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+75.60 335.08 (0) .5 0 0 t
+222.38 335.08 (20) .5 0 0 t
+369.16 335.08 (40) .5 0 0 t
+515.93 335.08 (60) .5 0 0 t
+662.71 335.08 (80) .5 0 0 t
+809.49 335.08 (100) .5 0 0 t
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.04 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.32 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.11 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.15 l
+1.33 0.15 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.17 l
+1.33 0.17 l
+1.33 0.18 l
+1.33 0.18 l
+1.33 0.19 l
+1.33 0.20 l
+1.33 0.20 l
+1.33 0.21 l
+1.33 0.21 l
+1.33 0.23 l
+1.33 0.23 l
+1.33 0.24 l
+1.33 0.26 l
+1.33 0.26 l
+1.33 0.27 l
+1.33 0.28 l
+1.33 0.30 l
+1.33 0.30 l
+1.33 0.32 l
+1.33 0.33 l
+1.33 0.35 l
+1.33 0.36 l
+1.33 0.37 l
+1.33 0.39 l
+1.33 0.41 l
+1.33 0.42 l
+1.33 0.45 l
+1.32 0.46 l
+1.33 0.48 l
+1.33 0.50 l
+1.33 0.53 l
+1.33 0.55 l
+1.33 0.58 l
+1.33 0.60 l
+1.33 0.63 l
+1.33 0.66 l
+1.33 0.70 l
+1.33 0.73 l
+1.33 0.76 l
+1.33 0.80 l
+1.33 0.83 l
+1.33 0.88 l
+1.33 0.92 l
+1.33 0.95 l
+1.33 1.00 l
+1.33 1.04 l
+235.76 108.45 lineto
+1.33 1.13 l
+1.33 1.17 l
+1.33 1.20 l
+1.33 1.24 l
+1.33 1.29 l
+1.33 1.32 l
+1.33 1.35 l
+1.33 1.39 l
+1.33 1.41 l
+1.33 1.43 l
+1.33 1.47 l
+1.33 1.47 l
+1.33 1.50 l
+1.33 1.50 l
+1.33 1.51 l
+1.33 1.51 l
+1.33 1.52 l
+1.33 1.50 l
+1.33 1.51 l
+1.33 1.49 l
+1.33 1.47 l
+1.33 1.46 l
+1.33 1.44 l
+1.33 1.42 l
+1.33 1.40 l
+1.33 1.37 l
+1.33 1.35 l
+1.33 1.33 l
+1.33 1.31 l
+1.33 1.29 l
+1.32 1.27 l
+1.33 1.26 l
+1.33 1.25 l
+1.33 1.24 l
+1.33 1.24 l
+1.33 1.24 l
+1.33 1.26 l
+1.33 1.27 l
+1.33 1.28 l
+1.33 1.31 l
+1.33 1.34 l
+1.33 1.37 l
+1.33 1.42 l
+1.33 1.45 l
+1.33 1.49 l
+1.33 1.54 l
+1.33 1.60 l
+1.33 1.64 l
+1.33 1.69 l
+1.33 1.74 l
+1.33 1.77 l
+1.33 1.83 l
+1.33 1.86 l
+1.33 1.88 l
+1.33 1.92 l
+1.33 1.93 l
+1.33 1.95 l
+1.33 1.95 l
+1.33 1.95 l
+1.33 1.94 l
+1.33 1.93 l
+1.33 1.90 l
+1.33 1.86 l
+1.33 1.82 l
+1.33 1.79 l
+1.33 1.73 l
+1.33 1.68 l
+1.33 1.61 l
+1.33 1.55 l
+1.33 1.50 l
+1.33 1.42 l
+1.33 1.37 l
+1.33 1.28 l
+1.33 1.23 l
+1.33 1.16 l
+1.33 1.11 l
+1.33 1.06 l
+1.33 0.99 l
+1.33 0.95 l
+1.33 0.91 l
+1.32 0.88 l
+1.33 0.85 l
+1.33 0.82 l
+1.33 0.81 l
+1.33 0.79 l
+1.33 0.79 l
+1.33 0.79 l
+1.33 0.80 l
+1.33 0.80 l
+1.33 0.82 l
+1.33 0.84 l
+1.33 0.86 l
+1.33 0.88 l
+1.33 0.92 l
+1.33 0.93 l
+1.33 0.97 l
+1.33 0.99 l
+1.33 1.01 l
+1.33 1.04 l
+368.74 243.58 lineto
+1.33 1.08 l
+1.33 1.09 l
+1.33 1.10 l
+1.33 1.10 l
+1.33 1.09 l
+1.33 1.09 l
+1.33 1.07 l
+1.33 1.06 l
+1.33 1.02 l
+1.33 0.99 l
+1.33 0.94 l
+1.33 0.90 l
+1.33 0.85 l
+1.33 0.79 l
+1.33 0.72 l
+1.33 0.65 l
+1.33 0.59 l
+1.33 0.52 l
+1.33 0.44 l
+1.33 0.35 l
+1.33 0.28 l
+1.33 0.20 l
+1.33 0.13 l
+1.33 0.05 l
+1.33 -0.04 l
+1.33 -0.11 l
+1.33 -0.18 l
+1.33 -0.24 l
+1.33 -0.31 l
+1.32 -0.39 l
+1.33 -0.44 l
+1.33 -0.51 l
+1.33 -0.55 l
+1.33 -0.60 l
+1.33 -0.66 l
+1.33 -0.71 l
+1.33 -0.76 l
+1.33 -0.79 l
+1.33 -0.83 l
+1.33 -0.87 l
+1.33 -0.92 l
+1.33 -0.95 l
+1.33 -0.98 l
+1.33 -1.02 l
+1.33 -1.04 l
+1.33 -1.09 l
+1.33 -1.12 l
+1.33 -1.15 l
+1.33 -1.17 l
+1.33 -1.21 l
+1.33 -1.24 l
+1.33 -1.26 l
+1.33 -1.29 l
+1.33 -1.32 l
+1.33 -1.34 l
+1.33 -1.36 l
+1.33 -1.38 l
+1.33 -1.40 l
+1.33 -1.42 l
+1.33 -1.42 l
+1.33 -1.43 l
+1.33 -1.44 l
+1.33 -1.44 l
+1.33 -1.43 l
+1.33 -1.43 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.38 l
+1.33 -1.36 l
+1.33 -1.34 l
+1.33 -1.32 l
+1.33 -1.27 l
+1.33 -1.24 l
+1.33 -1.21 l
+1.33 -1.17 l
+1.33 -1.13 l
+1.33 -1.09 l
+1.33 -1.05 l
+1.33 -1.01 l
+1.32 -0.98 l
+1.33 -0.93 l
+1.33 -0.91 l
+1.33 -0.86 l
+1.33 -0.84 l
+1.33 -0.82 l
+1.33 -0.79 l
+1.33 -0.77 l
+1.33 -0.76 l
+1.33 -0.75 l
+1.33 -0.75 l
+1.33 -0.74 l
+1.33 -0.74 l
+1.33 -0.76 l
+1.33 -0.76 l
+1.33 -0.78 l
+1.33 -0.80 l
+1.33 -0.81 l
+1.33 -0.85 l
+1.33 -0.87 l
+501.72 187.87 lineto
+1.33 -0.93 l
+1.33 -0.96 l
+1.33 -1.00 l
+1.33 -1.03 l
+1.33 -1.06 l
+1.33 -1.10 l
+1.33 -1.13 l
+1.33 -1.17 l
+1.33 -1.20 l
+1.33 -1.24 l
+1.33 -1.26 l
+1.33 -1.28 l
+1.33 -1.32 l
+1.33 -1.34 l
+1.33 -1.36 l
+1.33 -1.38 l
+1.33 -1.39 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.44 l
+1.33 -1.43 l
+1.33 -1.45 l
+1.33 -1.45 l
+1.33 -1.44 l
+1.33 -1.45 l
+1.33 -1.45 l
+1.33 -1.45 l
+1.33 -1.44 l
+1.33 -1.44 l
+1.32 -1.43 l
+1.33 -1.43 l
+1.33 -1.42 l
+1.33 -1.42 l
+1.33 -1.42 l
+1.33 -1.41 l
+1.33 -1.40 l
+1.33 -1.39 l
+1.33 -1.39 l
+1.33 -1.39 l
+1.33 -1.37 l
+1.33 -1.36 l
+1.33 -1.35 l
+1.33 -1.34 l
+1.33 -1.33 l
+1.33 -1.30 l
+1.33 -1.29 l
+1.33 -1.26 l
+1.33 -1.24 l
+1.33 -1.21 l
+1.33 -1.18 l
+1.33 -1.15 l
+1.33 -1.11 l
+1.33 -1.07 l
+1.33 -1.04 l
+1.33 -0.99 l
+1.33 -0.94 l
+1.33 -0.89 l
+1.33 -0.86 l
+1.33 -0.81 l
+1.33 -0.76 l
+1.33 -0.72 l
+1.33 -0.67 l
+1.33 -0.63 l
+1.33 -0.59 l
+1.33 -0.55 l
+1.33 -0.52 l
+1.33 -0.48 l
+1.33 -0.46 l
+1.33 -0.43 l
+1.33 -0.42 l
+1.33 -0.39 l
+1.33 -0.39 l
+1.33 -0.37 l
+1.33 -0.38 l
+1.33 -0.37 l
+1.33 -0.37 l
+1.33 -0.38 l
+1.33 -0.39 l
+1.33 -0.40 l
+1.32 -0.41 l
+1.33 -0.43 l
+1.33 -0.45 l
+1.33 -0.46 l
+1.33 -0.48 l
+1.33 -0.50 l
+1.33 -0.51 l
+1.33 -0.53 l
+1.33 -0.55 l
+1.33 -0.55 l
+1.33 -0.57 l
+1.33 -0.58 l
+1.33 -0.59 l
+1.33 -0.59 l
+1.33 -0.60 l
+1.33 -0.60 l
+1.33 -0.59 l
+1.33 -0.59 l
+1.33 -0.59 l
+1.33 -0.57 l
+634.70 92.28 lineto
+1.33 -0.55 l
+1.33 -0.54 l
+1.33 -0.52 l
+1.33 -0.51 l
+1.33 -0.49 l
+1.33 -0.47 l
+1.33 -0.45 l
+1.33 -0.42 l
+1.33 -0.41 l
+1.33 -0.39 l
+1.33 -0.36 l
+1.33 -0.35 l
+1.33 -0.32 l
+1.33 -0.30 l
+1.33 -0.28 l
+1.33 -0.26 l
+1.33 -0.24 l
+1.33 -0.22 l
+1.33 -0.21 l
+1.33 -0.18 l
+1.33 -0.17 l
+1.33 -0.15 l
+1.33 -0.13 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.07 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.32 -0.03 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.03 l
+1.33 0.03 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.10 l
+1.33 0.11 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.09 l
+1.33 0.09 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.06 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.06 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.08 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.32 -0.11 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.06 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+767.68 82.87 lineto
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+76.29 75.60 m
+677.39 0 l
+o
+np
+76.29 75.60 m
+0 -3.60 l
+o
+np
+189.19 75.60 m
+0 -3.60 l
+o
+np
+302.09 75.60 m
+0 -3.60 l
+o
+np
+414.99 75.60 m
+0 -3.60 l
+o
+np
+527.88 75.60 m
+0 -3.60 l
+o
+np
+640.78 75.60 m
+0 -3.60 l
+o
+np
+753.68 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+76.29 55.44 (0.0018) .5 0 0 t
+189.19 55.44 (0.0020) .5 0 0 t
+302.09 55.44 (0.0022) .5 0 0 t
+414.99 55.44 (0.0024) .5 0 0 t
+527.88 55.44 (0.0026) .5 0 0 t
+640.78 55.44 (0.0028) .5 0 0 t
+753.68 55.44 (0.0030) .5 0 0 t
+np
+75.60 82.75 m
+0 178.73 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 118.49 m
+-3.60 0 l
+o
+np
+75.60 154.24 m
+-3.60 0 l
+o
+np
+75.60 189.99 m
+-3.60 0 l
+o
+np
+75.60 225.74 m
+-3.60 0 l
+o
+np
+75.60 261.48 m
+-3.60 0 l
+o
+64.08 82.75 (0) .5 0 90 t
+64.08 118.49 (500) .5 0 90 t
+64.08 154.24 (1000) .5 0 90 t
+64.08 225.74 (2000) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 25 25
+bp
+18.00 297.64 823.89 577.28 cl
+18.00 297.64 823.89 577.28 cl
+/bg { 1 0 0 rgb } def
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+75.60 362.39 730.95 81.33 r p3
+75.60 459.99 2.94 81.33 r p3
+18.00 18.00 823.89 577.28 cl
+/ps 12 def /Font1 findfont 12 s
+0 setgray
+66.96 398.75 (Y = 0) 1 0 0 t
+66.96 496.35 (Y = 1) 1 0 0 t
+18.00 297.64 823.89 577.28 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 557.85 (Predicted Values: Y|X) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+442.54 314.92 (Percentage of Simulations) .5 0 0 t
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 355.24 m
+733.89 0 l
+o
+np
+75.60 355.24 m
+0 -3.60 l
+o
+np
+222.38 355.24 m
+0 -3.60 l
+o
+np
+369.16 355.24 m
+0 -3.60 l
+o
+np
+515.93 355.24 m
+0 -3.60 l
+o
+np
+662.71 355.24 m
+0 -3.60 l
+o
+np
+809.49 355.24 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+75.60 335.08 (0) .5 0 0 t
+222.38 335.08 (20) .5 0 0 t
+369.16 335.08 (40) .5 0 0 t
+515.93 335.08 (60) .5 0 0 t
+662.71 335.08 (80) .5 0 0 t
+809.49 335.08 (100) .5 0 0 t
+75.60 75.60 809.49 268.84 cl
+75.60 75.60 809.49 268.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+102.78 82.76 m
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.01 l
+1.33 0.02 l
+1.33 0.02 l
+1.33 0.03 l
+1.33 0.02 l
+1.33 0.04 l
+1.33 0.03 l
+1.33 0.04 l
+1.33 0.05 l
+1.33 0.05 l
+1.33 0.06 l
+1.33 0.07 l
+1.33 0.07 l
+1.33 0.08 l
+1.33 0.08 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.10 l
+1.33 0.12 l
+1.33 0.12 l
+1.33 0.13 l
+1.32 0.14 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.16 l
+1.33 0.15 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.15 l
+1.33 0.14 l
+1.33 0.15 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.13 l
+1.33 0.13 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.14 l
+1.33 0.16 l
+1.33 0.16 l
+1.33 0.17 l
+1.33 0.19 l
+1.33 0.20 l
+1.33 0.21 l
+1.33 0.24 l
+1.33 0.25 l
+1.33 0.28 l
+1.33 0.30 l
+1.33 0.33 l
+1.33 0.36 l
+1.33 0.39 l
+1.33 0.42 l
+1.33 0.45 l
+1.33 0.49 l
+1.33 0.53 l
+1.33 0.56 l
+1.33 0.61 l
+1.33 0.65 l
+1.33 0.69 l
+1.33 0.73 l
+1.32 0.77 l
+1.33 0.82 l
+1.33 0.85 l
+1.33 0.89 l
+1.33 0.93 l
+1.33 0.96 l
+1.33 0.99 l
+1.33 1.02 l
+1.33 1.04 l
+1.33 1.06 l
+1.33 1.08 l
+1.33 1.09 l
+1.33 1.10 l
+1.33 1.10 l
+1.33 1.10 l
+1.33 1.10 l
+1.33 1.09 l
+1.33 1.08 l
+1.33 1.07 l
+235.76 116.89 lineto
+1.33 1.05 l
+1.33 1.03 l
+1.33 1.03 l
+1.33 1.01 l
+1.33 1.01 l
+1.33 1.01 l
+1.33 1.00 l
+1.33 1.02 l
+1.33 1.02 l
+1.33 1.03 l
+1.33 1.07 l
+1.33 1.08 l
+1.33 1.12 l
+1.33 1.15 l
+1.33 1.18 l
+1.33 1.24 l
+1.33 1.29 l
+1.33 1.33 l
+1.33 1.39 l
+1.33 1.43 l
+1.33 1.49 l
+1.33 1.55 l
+1.33 1.60 l
+1.33 1.64 l
+1.33 1.69 l
+1.33 1.73 l
+1.33 1.78 l
+1.33 1.81 l
+1.33 1.85 l
+1.33 1.87 l
+1.32 1.88 l
+1.33 1.91 l
+1.33 1.91 l
+1.33 1.91 l
+1.33 1.92 l
+1.33 1.91 l
+1.33 1.89 l
+1.33 1.88 l
+1.33 1.86 l
+1.33 1.83 l
+1.33 1.81 l
+1.33 1.77 l
+1.33 1.75 l
+1.33 1.71 l
+1.33 1.68 l
+1.33 1.64 l
+1.33 1.62 l
+1.33 1.58 l
+1.33 1.56 l
+1.33 1.53 l
+1.33 1.51 l
+1.33 1.49 l
+1.33 1.48 l
+1.33 1.47 l
+1.33 1.47 l
+1.33 1.46 l
+1.33 1.48 l
+1.33 1.48 l
+1.33 1.49 l
+1.33 1.51 l
+1.33 1.54 l
+1.33 1.55 l
+1.33 1.57 l
+1.33 1.60 l
+1.33 1.62 l
+1.33 1.63 l
+1.33 1.66 l
+1.33 1.67 l
+1.33 1.68 l
+1.33 1.69 l
+1.33 1.69 l
+1.33 1.69 l
+1.33 1.68 l
+1.33 1.66 l
+1.33 1.65 l
+1.33 1.62 l
+1.33 1.60 l
+1.33 1.56 l
+1.33 1.52 l
+1.33 1.48 l
+1.32 1.45 l
+1.33 1.40 l
+1.33 1.36 l
+1.33 1.31 l
+1.33 1.27 l
+1.33 1.22 l
+1.33 1.18 l
+1.33 1.14 l
+1.33 1.09 l
+1.33 1.05 l
+1.33 1.01 l
+1.33 0.97 l
+1.33 0.93 l
+1.33 0.88 l
+1.33 0.84 l
+1.33 0.78 l
+1.33 0.74 l
+1.33 0.69 l
+1.33 0.64 l
+368.74 259.66 lineto
+1.33 0.50 l
+1.33 0.44 l
+1.33 0.38 l
+1.33 0.30 l
+1.33 0.22 l
+1.33 0.13 l
+1.33 0.05 l
+1.33 -0.03 l
+1.33 -0.12 l
+1.33 -0.20 l
+1.33 -0.29 l
+1.33 -0.40 l
+1.33 -0.47 l
+1.33 -0.56 l
+1.33 -0.64 l
+1.33 -0.72 l
+1.33 -0.81 l
+1.33 -0.89 l
+1.33 -0.96 l
+1.33 -1.02 l
+1.33 -1.09 l
+1.33 -1.16 l
+1.33 -1.22 l
+1.33 -1.27 l
+1.33 -1.32 l
+1.33 -1.36 l
+1.33 -1.40 l
+1.33 -1.44 l
+1.33 -1.47 l
+1.32 -1.49 l
+1.33 -1.50 l
+1.33 -1.51 l
+1.33 -1.52 l
+1.33 -1.52 l
+1.33 -1.51 l
+1.33 -1.49 l
+1.33 -1.48 l
+1.33 -1.46 l
+1.33 -1.43 l
+1.33 -1.40 l
+1.33 -1.36 l
+1.33 -1.33 l
+1.33 -1.30 l
+1.33 -1.26 l
+1.33 -1.22 l
+1.33 -1.19 l
+1.33 -1.16 l
+1.33 -1.13 l
+1.33 -1.11 l
+1.33 -1.09 l
+1.33 -1.07 l
+1.33 -1.06 l
+1.33 -1.07 l
+1.33 -1.06 l
+1.33 -1.07 l
+1.33 -1.08 l
+1.33 -1.10 l
+1.33 -1.13 l
+1.33 -1.14 l
+1.33 -1.17 l
+1.33 -1.20 l
+1.33 -1.23 l
+1.33 -1.27 l
+1.33 -1.29 l
+1.33 -1.32 l
+1.33 -1.34 l
+1.33 -1.37 l
+1.33 -1.40 l
+1.33 -1.41 l
+1.33 -1.42 l
+1.33 -1.44 l
+1.33 -1.45 l
+1.33 -1.45 l
+1.33 -1.45 l
+1.33 -1.44 l
+1.33 -1.45 l
+1.33 -1.43 l
+1.33 -1.43 l
+1.33 -1.42 l
+1.32 -1.40 l
+1.33 -1.39 l
+1.33 -1.38 l
+1.33 -1.37 l
+1.33 -1.35 l
+1.33 -1.35 l
+1.33 -1.33 l
+1.33 -1.32 l
+1.33 -1.31 l
+1.33 -1.30 l
+1.33 -1.29 l
+1.33 -1.28 l
+1.33 -1.28 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.26 l
+1.33 -1.25 l
+1.33 -1.26 l
+1.33 -1.25 l
+1.33 -1.25 l
+501.72 149.81 lineto
+1.33 -1.25 l
+1.33 -1.26 l
+1.33 -1.25 l
+1.33 -1.26 l
+1.33 -1.25 l
+1.33 -1.27 l
+1.33 -1.26 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.28 l
+1.33 -1.28 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.27 l
+1.33 -1.26 l
+1.33 -1.26 l
+1.33 -1.24 l
+1.33 -1.24 l
+1.33 -1.22 l
+1.33 -1.21 l
+1.33 -1.19 l
+1.33 -1.17 l
+1.33 -1.15 l
+1.33 -1.13 l
+1.33 -1.11 l
+1.33 -1.08 l
+1.33 -1.05 l
+1.32 -1.03 l
+1.33 -1.00 l
+1.33 -0.97 l
+1.33 -0.94 l
+1.33 -0.91 l
+1.33 -0.87 l
+1.33 -0.84 l
+1.33 -0.81 l
+1.33 -0.78 l
+1.33 -0.75 l
+1.33 -0.71 l
+1.33 -0.68 l
+1.33 -0.65 l
+1.33 -0.62 l
+1.33 -0.59 l
+1.33 -0.56 l
+1.33 -0.53 l
+1.33 -0.50 l
+1.33 -0.48 l
+1.33 -0.46 l
+1.33 -0.43 l
+1.33 -0.42 l
+1.33 -0.39 l
+1.33 -0.37 l
+1.33 -0.36 l
+1.33 -0.35 l
+1.33 -0.33 l
+1.33 -0.31 l
+1.33 -0.31 l
+1.33 -0.29 l
+1.33 -0.29 l
+1.33 -0.28 l
+1.33 -0.27 l
+1.33 -0.26 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.23 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.24 l
+1.32 -0.24 l
+1.33 -0.25 l
+1.33 -0.24 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.24 l
+1.33 -0.25 l
+1.33 -0.25 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.24 l
+1.33 -0.23 l
+1.33 -0.22 l
+1.33 -0.21 l
+1.33 -0.20 l
+1.33 -0.19 l
+1.33 -0.18 l
+1.33 -0.16 l
+1.33 -0.15 l
+1.33 -0.14 l
+634.70 86.64 lineto
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.04 l
+1.33 -0.05 l
+1.33 -0.06 l
+1.33 -0.07 l
+1.33 -0.08 l
+1.33 -0.09 l
+1.32 -0.09 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.12 l
+1.33 -0.12 l
+1.33 -0.11 l
+1.33 -0.11 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.10 l
+1.33 -0.09 l
+1.33 -0.08 l
+1.33 -0.07 l
+1.33 -0.07 l
+1.33 -0.06 l
+1.33 -0.05 l
+1.33 -0.05 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.32 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.04 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.03 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.02 l
+1.33 -0.01 l
+1.33 -0.02 l
+1.33 -0.01 l
+767.68 82.82 lineto
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 -0.01 l
+1.33 0 l
+1.33 0 l
+1.33 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+184.58 75.60 m
+478.82 0 l
+o
+np
+184.58 75.60 m
+0 -3.60 l
+o
+np
+344.18 75.60 m
+0 -3.60 l
+o
+np
+503.79 75.60 m
+0 -3.60 l
+o
+np
+663.40 75.60 m
+0 -3.60 l
+o
+/ps 12 def /Font1 findfont 12 s
+184.58 55.44 (0.003) .5 0 0 t
+344.18 55.44 (0.004) .5 0 0 t
+503.79 55.44 (0.005) .5 0 0 t
+663.40 55.44 (0.006) .5 0 0 t
+np
+75.60 82.75 m
+0 180.57 l
+o
+np
+75.60 82.75 m
+-3.60 0 l
+o
+np
+75.60 127.89 m
+-3.60 0 l
+o
+np
+75.60 173.03 m
+-3.60 0 l
+o
+np
+75.60 218.18 m
+-3.60 0 l
+o
+np
+75.60 263.32 m
+-3.60 0 l
+o
+64.08 82.75 (0) .5 0 90 t
+64.08 127.89 (200) .5 0 90 t
+64.08 173.03 (400) .5 0 90 t
+64.08 218.18 (600) .5 0 90 t
+64.08 263.32 (800) .5 0 90 t
+np
+75.60 75.60 m
+733.89 0 l
+0 193.24 l
+-733.89 0 l
+0 -193.24 l
+o
+18.00 18.00 823.89 297.64 cl
+/ps 14 def /Font2 findfont 14 s
+0 setgray
+442.54 278.21 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 12 def /Font1 findfont 12 s
+43.92 172.22 (Density) .5 0 90 t
+75.60 75.60 809.49 268.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.75 m
+733.89 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Page: 26 26
+bp
+56.02 428.87 814.39 558.27 cl
+56.02 428.87 814.39 558.27 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 433.66 m
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.03 l
+1.38 0.03 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.08 l
+1.37 0.08 l
+1.37 0.10 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.11 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.13 l
+1.37 0.13 l
+1.38 0.13 l
+1.37 0.13 l
+1.38 0.14 l
+1.37 0.13 l
+1.37 0.14 l
+1.38 0.13 l
+1.37 0.13 l
+1.38 0.13 l
+1.37 0.12 l
+1.38 0.12 l
+1.37 0.11 l
+1.37 0.11 l
+1.38 0.10 l
+1.37 0.10 l
+1.38 0.09 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.07 l
+1.38 0.08 l
+1.37 0.07 l
+1.38 0.08 l
+221.52 437.90 lineto
+1.37 0.09 l
+1.38 0.09 l
+1.37 0.10 l
+1.38 0.12 l
+1.37 0.12 l
+1.37 0.15 l
+1.38 0.16 l
+1.37 0.18 l
+1.38 0.20 l
+1.37 0.22 l
+1.38 0.24 l
+1.37 0.27 l
+1.37 0.30 l
+1.38 0.32 l
+1.37 0.35 l
+1.38 0.38 l
+1.37 0.40 l
+1.37 0.44 l
+1.38 0.46 l
+1.37 0.50 l
+1.38 0.52 l
+1.37 0.54 l
+1.38 0.57 l
+1.37 0.60 l
+1.37 0.62 l
+1.38 0.65 l
+1.37 0.66 l
+1.38 0.69 l
+1.37 0.71 l
+1.37 0.72 l
+1.38 0.74 l
+1.37 0.76 l
+1.38 0.77 l
+1.37 0.79 l
+1.37 0.79 l
+1.38 0.81 l
+1.37 0.83 l
+1.38 0.84 l
+1.37 0.85 l
+1.38 0.87 l
+1.37 0.89 l
+1.37 0.90 l
+1.38 0.93 l
+1.37 0.96 l
+1.38 0.98 l
+1.37 1.01 l
+1.37 1.05 l
+1.38 1.08 l
+1.37 1.13 l
+1.38 1.17 l
+1.37 1.21 l
+1.38 1.25 l
+1.37 1.30 l
+1.37 1.34 l
+1.38 1.40 l
+1.37 1.44 l
+1.38 1.48 l
+1.37 1.51 l
+1.37 1.55 l
+1.38 1.59 l
+1.37 1.61 l
+1.38 1.63 l
+1.37 1.65 l
+1.38 1.65 l
+1.37 1.66 l
+1.37 1.65 l
+1.38 1.65 l
+1.37 1.63 l
+1.38 1.61 l
+1.37 1.59 l
+1.37 1.55 l
+1.38 1.53 l
+1.37 1.49 l
+1.38 1.45 l
+1.37 1.41 l
+1.38 1.38 l
+1.37 1.34 l
+1.37 1.30 l
+1.38 1.25 l
+1.37 1.23 l
+1.38 1.20 l
+1.37 1.17 l
+1.37 1.14 l
+1.38 1.12 l
+1.37 1.10 l
+1.38 1.09 l
+1.37 1.08 l
+1.38 1.07 l
+1.37 1.07 l
+1.37 1.07 l
+1.38 1.07 l
+1.37 1.07 l
+1.38 1.09 l
+1.37 1.09 l
+1.37 1.11 l
+1.38 1.12 l
+1.37 1.13 l
+1.38 1.15 l
+1.37 1.16 l
+358.94 534.02 lineto
+1.37 1.17 l
+1.37 1.19 l
+1.38 1.18 l
+1.37 1.19 l
+1.38 1.17 l
+1.37 1.17 l
+1.37 1.15 l
+1.38 1.12 l
+1.37 1.09 l
+1.38 1.06 l
+1.37 1.01 l
+1.38 0.97 l
+1.37 0.91 l
+1.37 0.84 l
+1.38 0.77 l
+1.37 0.71 l
+1.38 0.62 l
+1.37 0.56 l
+1.37 0.47 l
+1.38 0.39 l
+1.37 0.29 l
+1.38 0.22 l
+1.37 0.14 l
+1.37 0.06 l
+1.38 0 l
+1.37 -0.08 l
+1.38 -0.16 l
+1.37 -0.20 l
+1.38 -0.26 l
+1.37 -0.30 l
+1.37 -0.34 l
+1.38 -0.38 l
+1.37 -0.40 l
+1.38 -0.42 l
+1.37 -0.43 l
+1.37 -0.44 l
+1.38 -0.44 l
+1.37 -0.43 l
+1.38 -0.42 l
+1.37 -0.40 l
+1.38 -0.39 l
+1.37 -0.36 l
+1.37 -0.34 l
+1.38 -0.31 l
+1.37 -0.28 l
+1.38 -0.25 l
+1.37 -0.21 l
+1.37 -0.19 l
+1.38 -0.16 l
+1.37 -0.12 l
+1.38 -0.09 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.05 l
+1.38 -0.07 l
+1.37 -0.12 l
+1.38 -0.17 l
+1.37 -0.22 l
+1.37 -0.28 l
+1.38 -0.36 l
+1.37 -0.43 l
+1.38 -0.52 l
+1.37 -0.60 l
+1.37 -0.69 l
+1.38 -0.78 l
+1.37 -0.87 l
+1.38 -0.98 l
+1.37 -1.07 l
+1.38 -1.15 l
+1.37 -1.24 l
+1.37 -1.31 l
+1.38 -1.39 l
+1.37 -1.46 l
+1.38 -1.52 l
+1.37 -1.55 l
+1.37 -1.60 l
+1.38 -1.62 l
+1.37 -1.64 l
+1.38 -1.65 l
+1.37 -1.64 l
+1.38 -1.63 l
+1.37 -1.61 l
+1.37 -1.59 l
+1.38 -1.54 l
+1.37 -1.50 l
+1.38 -1.46 l
+1.37 -1.41 l
+1.37 -1.36 l
+1.38 -1.32 l
+1.37 -1.26 l
+1.38 -1.20 l
+496.35 503.55 lineto
+1.38 -1.11 l
+1.37 -1.08 l
+1.37 -1.04 l
+1.38 -1.01 l
+1.37 -0.98 l
+1.38 -0.96 l
+1.37 -0.94 l
+1.37 -0.93 l
+1.38 -0.93 l
+1.37 -0.92 l
+1.38 -0.93 l
+1.37 -0.93 l
+1.37 -0.95 l
+1.38 -0.96 l
+1.37 -0.97 l
+1.38 -0.99 l
+1.37 -1.01 l
+1.38 -1.02 l
+1.37 -1.05 l
+1.37 -1.05 l
+1.38 -1.07 l
+1.37 -1.08 l
+1.38 -1.09 l
+1.37 -1.09 l
+1.37 -1.10 l
+1.38 -1.09 l
+1.37 -1.09 l
+1.38 -1.08 l
+1.37 -1.07 l
+1.38 -1.05 l
+1.37 -1.03 l
+1.37 -1.02 l
+1.38 -0.99 l
+1.37 -0.96 l
+1.38 -0.94 l
+1.37 -0.90 l
+1.37 -0.88 l
+1.38 -0.84 l
+1.37 -0.82 l
+1.38 -0.78 l
+1.37 -0.75 l
+1.38 -0.71 l
+1.37 -0.69 l
+1.37 -0.65 l
+1.38 -0.63 l
+1.37 -0.59 l
+1.38 -0.56 l
+1.37 -0.53 l
+1.37 -0.51 l
+1.38 -0.48 l
+1.37 -0.45 l
+1.38 -0.43 l
+1.37 -0.40 l
+1.38 -0.39 l
+1.37 -0.36 l
+1.37 -0.34 l
+1.38 -0.33 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.29 l
+1.37 -0.28 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.38 -0.27 l
+1.37 -0.27 l
+1.38 -0.28 l
+1.37 -0.28 l
+1.37 -0.28 l
+1.38 -0.29 l
+1.37 -0.30 l
+1.38 -0.31 l
+1.37 -0.32 l
+1.37 -0.32 l
+1.38 -0.34 l
+1.37 -0.34 l
+1.38 -0.35 l
+1.37 -0.36 l
+1.38 -0.36 l
+1.37 -0.37 l
+1.37 -0.37 l
+1.38 -0.38 l
+1.37 -0.37 l
+1.38 -0.38 l
+1.37 -0.37 l
+1.37 -0.37 l
+1.38 -0.37 l
+1.37 -0.36 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.37 -0.35 l
+1.38 -0.34 l
+1.37 -0.33 l
+1.38 -0.33 l
+1.37 -0.32 l
+1.38 -0.31 l
+1.37 -0.31 l
+1.37 -0.30 l
+1.38 -0.29 l
+1.37 -0.29 l
+633.77 441.12 lineto
+1.37 -0.27 l
+1.37 -0.27 l
+1.38 -0.26 l
+1.37 -0.26 l
+1.38 -0.25 l
+1.37 -0.24 l
+1.38 -0.24 l
+1.37 -0.22 l
+1.37 -0.23 l
+1.38 -0.21 l
+1.37 -0.21 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.37 -0.18 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.17 l
+1.37 -0.15 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.14 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.11 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.05 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 0 l
+1.38 0 l
+1.37 0.01 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.05 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.03 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.37 -0.07 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.07 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+771.18 433.72 lineto
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+114.33 428.87 m
+587.48 0 l
+o
+np
+114.33 428.87 m
+0 -2.38 l
+o
+np
+231.82 428.87 m
+0 -2.38 l
+o
+np
+349.32 428.87 m
+0 -2.38 l
+o
+np
+466.82 428.87 m
+0 -2.38 l
+o
+np
+584.31 428.87 m
+0 -2.38 l
+o
+np
+701.81 428.87 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+114.33 415.56 (10) .5 0 0 t
+231.82 415.56 (12) .5 0 0 t
+349.32 415.56 (14) .5 0 0 t
+466.82 415.56 (16) .5 0 0 t
+584.31 415.56 (18) .5 0 0 t
+701.81 415.56 (20) .5 0 0 t
+np
+56.02 433.65 m
+0 106.58 l
+o
+np
+56.02 433.65 m
+-2.38 0 l
+o
+np
+56.02 454.97 m
+-2.38 0 l
+o
+np
+56.02 476.28 m
+-2.38 0 l
+o
+np
+56.02 497.60 m
+-2.38 0 l
+o
+np
+56.02 518.91 m
+-2.38 0 l
+o
+np
+56.02 540.23 m
+-2.38 0 l
+o
+48.41 433.65 (0.00) .5 0 90 t
+48.41 476.28 (0.10) .5 0 90 t
+48.41 518.91 (0.20) .5 0 90 t
+np
+56.02 428.87 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 390.85 823.89 577.28 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 564.18 (Expected Values: E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 493.57 (Density) .5 0 90 t
+56.02 428.87 814.39 558.27 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 433.65 m
+758.37 0 l
+o
+56.02 242.44 814.39 371.84 cl
+56.02 242.44 814.39 371.84 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 247.42 m
+1.38 0.05 l
+1.37 0.06 l
+1.38 0.07 l
+1.37 0.09 l
+1.37 0.10 l
+1.38 0.12 l
+1.37 0.15 l
+1.38 0.18 l
+1.37 0.20 l
+1.38 0.23 l
+1.37 0.29 l
+1.37 0.33 l
+1.38 0.38 l
+1.37 0.43 l
+1.38 0.49 l
+1.37 0.57 l
+1.37 0.66 l
+1.38 0.74 l
+1.37 0.82 l
+1.38 0.92 l
+1.37 1.03 l
+1.38 1.16 l
+1.37 1.28 l
+1.37 1.40 l
+1.38 1.53 l
+1.37 1.65 l
+1.38 1.83 l
+1.37 1.98 l
+1.37 2.11 l
+1.38 2.26 l
+1.37 2.39 l
+1.38 2.56 l
+1.37 2.71 l
+1.38 2.84 l
+1.37 2.96 l
+1.37 3.09 l
+1.38 3.19 l
+1.37 3.31 l
+1.38 3.40 l
+1.37 3.46 l
+1.37 3.52 l
+1.38 3.56 l
+1.37 3.59 l
+1.38 3.59 l
+1.37 3.58 l
+1.37 3.56 l
+1.38 3.51 l
+1.37 3.45 l
+1.38 3.35 l
+1.37 3.26 l
+1.38 3.15 l
+1.37 3.03 l
+1.37 2.89 l
+1.38 2.71 l
+1.37 2.56 l
+1.38 2.40 l
+1.37 2.23 l
+1.37 2.06 l
+1.38 1.84 l
+1.37 1.66 l
+1.38 1.48 l
+1.37 1.30 l
+1.38 1.14 l
+1.37 0.93 l
+1.37 0.75 l
+1.38 0.60 l
+1.37 0.44 l
+1.38 0.31 l
+1.37 0.16 l
+1.37 0 l
+1.38 -0.11 l
+1.37 -0.22 l
+1.38 -0.31 l
+1.37 -0.40 l
+1.38 -0.51 l
+1.37 -0.57 l
+1.37 -0.63 l
+1.38 -0.68 l
+1.37 -0.73 l
+1.38 -0.77 l
+1.37 -0.80 l
+1.37 -0.83 l
+1.38 -0.84 l
+1.37 -0.86 l
+1.38 -0.86 l
+1.37 -0.87 l
+1.38 -0.87 l
+1.37 -0.87 l
+1.37 -0.87 l
+1.38 -0.86 l
+1.37 -0.85 l
+1.38 -0.85 l
+1.37 -0.84 l
+1.37 -0.84 l
+1.38 -0.83 l
+1.37 -0.83 l
+1.38 -0.83 l
+1.37 -0.82 l
+1.38 -0.82 l
+221.52 345.26 lineto
+1.37 -0.82 l
+1.38 -0.83 l
+1.37 -0.83 l
+1.38 -0.83 l
+1.37 -0.84 l
+1.37 -0.85 l
+1.38 -0.85 l
+1.37 -0.86 l
+1.38 -0.86 l
+1.37 -0.87 l
+1.38 -0.87 l
+1.37 -0.89 l
+1.37 -0.88 l
+1.38 -0.90 l
+1.37 -0.90 l
+1.38 -0.90 l
+1.37 -0.91 l
+1.37 -0.91 l
+1.38 -0.92 l
+1.37 -0.92 l
+1.38 -0.93 l
+1.37 -0.94 l
+1.38 -0.94 l
+1.37 -0.94 l
+1.37 -0.96 l
+1.38 -0.96 l
+1.37 -0.97 l
+1.38 -0.97 l
+1.37 -0.99 l
+1.37 -0.99 l
+1.38 -1.00 l
+1.37 -1.01 l
+1.38 -1.01 l
+1.37 -1.02 l
+1.37 -1.03 l
+1.38 -1.03 l
+1.37 -1.04 l
+1.38 -1.03 l
+1.37 -1.04 l
+1.38 -1.03 l
+1.37 -1.03 l
+1.37 -1.03 l
+1.38 -1.01 l
+1.37 -1.01 l
+1.38 -0.99 l
+1.37 -0.97 l
+1.37 -0.96 l
+1.38 -0.94 l
+1.37 -0.92 l
+1.38 -0.89 l
+1.37 -0.86 l
+1.38 -0.85 l
+1.37 -0.81 l
+1.37 -0.79 l
+1.38 -0.75 l
+1.37 -0.73 l
+1.38 -0.70 l
+1.37 -0.67 l
+1.37 -0.64 l
+1.38 -0.61 l
+1.37 -0.57 l
+1.38 -0.56 l
+1.37 -0.53 l
+1.38 -0.50 l
+1.37 -0.48 l
+1.37 -0.45 l
+1.38 -0.44 l
+1.37 -0.42 l
+1.38 -0.40 l
+1.37 -0.39 l
+1.37 -0.37 l
+1.38 -0.37 l
+1.37 -0.35 l
+1.38 -0.35 l
+1.37 -0.35 l
+1.38 -0.34 l
+1.37 -0.34 l
+1.37 -0.35 l
+1.38 -0.34 l
+1.37 -0.36 l
+1.38 -0.35 l
+1.37 -0.37 l
+1.37 -0.38 l
+1.38 -0.38 l
+1.37 -0.39 l
+1.38 -0.41 l
+1.37 -0.41 l
+1.38 -0.43 l
+1.37 -0.43 l
+1.37 -0.45 l
+1.38 -0.45 l
+1.37 -0.46 l
+1.38 -0.47 l
+1.37 -0.47 l
+1.37 -0.48 l
+1.38 -0.48 l
+1.37 -0.48 l
+1.38 -0.48 l
+1.37 -0.47 l
+358.94 273.85 lineto
+1.37 -0.47 l
+1.37 -0.46 l
+1.38 -0.45 l
+1.37 -0.44 l
+1.38 -0.43 l
+1.37 -0.42 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.38 l
+1.38 -0.36 l
+1.37 -0.35 l
+1.38 -0.34 l
+1.37 -0.32 l
+1.37 -0.31 l
+1.38 -0.29 l
+1.37 -0.29 l
+1.38 -0.27 l
+1.37 -0.25 l
+1.37 -0.25 l
+1.38 -0.24 l
+1.37 -0.22 l
+1.38 -0.23 l
+1.37 -0.21 l
+1.37 -0.20 l
+1.38 -0.20 l
+1.37 -0.19 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.17 l
+1.37 -0.17 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.38 -0.07 l
+1.37 -0.06 l
+1.37 -0.05 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 0.01 l
+1.37 0.01 l
+1.38 0.03 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.07 l
+1.37 0.06 l
+1.38 0.07 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.03 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 -0.01 l
+1.38 -0.03 l
+1.37 -0.04 l
+1.37 -0.06 l
+1.38 -0.09 l
+1.37 -0.10 l
+1.38 -0.12 l
+1.37 -0.14 l
+1.37 -0.16 l
+1.38 -0.18 l
+1.37 -0.19 l
+1.38 -0.21 l
+1.37 -0.23 l
+1.38 -0.23 l
+1.37 -0.25 l
+1.37 -0.26 l
+1.38 -0.27 l
+1.37 -0.27 l
+1.38 -0.28 l
+1.37 -0.28 l
+1.37 -0.28 l
+1.38 -0.28 l
+1.37 -0.27 l
+1.38 -0.28 l
+1.37 -0.26 l
+1.38 -0.26 l
+1.37 -0.25 l
+1.37 -0.24 l
+1.38 -0.23 l
+1.37 -0.22 l
+1.38 -0.20 l
+1.37 -0.20 l
+1.37 -0.18 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.15 l
+496.35 256.77 lineto
+1.38 -0.13 l
+1.37 -0.12 l
+1.37 -0.11 l
+1.38 -0.10 l
+1.37 -0.10 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.09 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.37 -0.09 l
+1.38 -0.10 l
+1.37 -0.10 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.38 -0.13 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.15 l
+1.37 -0.15 l
+1.38 -0.16 l
+1.37 -0.16 l
+1.37 -0.17 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.37 -0.19 l
+1.38 -0.19 l
+1.37 -0.18 l
+1.38 -0.18 l
+1.37 -0.18 l
+1.37 -0.17 l
+1.38 -0.17 l
+1.37 -0.16 l
+1.38 -0.16 l
+1.37 -0.15 l
+1.38 -0.15 l
+1.37 -0.13 l
+1.37 -0.13 l
+1.38 -0.12 l
+1.37 -0.12 l
+1.38 -0.10 l
+1.37 -0.10 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0 l
+1.37 0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+633.77 249.87 lineto
+1.37 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.06 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 0 l
+1.38 -0.01 l
+771.18 247.26 lineto
+1.38 0 l
+1.37 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 -0.01 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+144.69 242.44 m
+604.84 0 l
+o
+np
+144.69 242.44 m
+0 -2.37 l
+o
+np
+295.90 242.44 m
+0 -2.37 l
+o
+np
+447.11 242.44 m
+0 -2.37 l
+o
+np
+598.32 242.44 m
+0 -2.37 l
+o
+np
+749.53 242.44 m
+0 -2.37 l
+o
+/ps 8 def /Font1 findfont 8 s
+144.69 229.14 (0) .5 0 0 t
+295.90 229.14 (20) .5 0 0 t
+447.11 229.14 (40) .5 0 0 t
+598.32 229.14 (60) .5 0 0 t
+749.53 229.14 (80) .5 0 0 t
+np
+56.02 247.23 m
+0 106.33 l
+o
+np
+56.02 247.23 m
+-2.38 0 l
+o
+np
+56.02 273.81 m
+-2.38 0 l
+o
+np
+56.02 300.40 m
+-2.38 0 l
+o
+np
+56.02 326.98 m
+-2.38 0 l
+o
+np
+56.02 353.56 m
+-2.38 0 l
+o
+48.41 247.23 (0.00) .5 0 90 t
+48.41 273.81 (0.01) .5 0 90 t
+48.41 300.40 (0.02) .5 0 90 t
+48.41 326.98 (0.03) .5 0 90 t
+48.41 353.56 (0.04) .5 0 90 t
+np
+56.02 242.44 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 204.43 823.89 390.85 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 377.76 (Predicted Values: Y|X) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 307.14 (Density) .5 0 90 t
+56.02 242.44 814.39 371.84 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 247.23 m
+758.37 0 l
+o
+56.02 56.02 814.39 185.42 cl
+56.02 56.02 814.39 185.42 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+84.10 60.81 m
+1.38 0 l
+1.37 0.01 l
+1.38 0 l
+1.37 0 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0 l
+1.38 0.01 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.03 l
+1.37 0.02 l
+1.38 0.04 l
+1.37 0.03 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.05 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.06 l
+1.38 0.06 l
+1.37 0.07 l
+1.37 0.07 l
+1.38 0.07 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.08 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.08 l
+1.38 0.07 l
+1.37 0.08 l
+1.37 0.07 l
+1.38 0.06 l
+1.37 0.07 l
+1.38 0.06 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.05 l
+1.37 0.04 l
+1.38 0.04 l
+1.37 0.04 l
+1.38 0.03 l
+1.37 0.03 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.38 0.02 l
+1.37 0.02 l
+1.37 0.01 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.38 0.01 l
+1.37 0.02 l
+1.37 0.03 l
+1.38 0.02 l
+1.37 0.04 l
+1.38 0.03 l
+1.37 0.05 l
+1.37 0.05 l
+1.38 0.06 l
+1.37 0.08 l
+1.38 0.08 l
+1.37 0.10 l
+1.38 0.11 l
+1.37 0.13 l
+1.37 0.14 l
+1.38 0.16 l
+1.37 0.18 l
+1.38 0.19 l
+1.37 0.22 l
+1.37 0.23 l
+1.38 0.26 l
+1.37 0.28 l
+1.38 0.29 l
+1.37 0.32 l
+1.38 0.33 l
+1.37 0.35 l
+1.37 0.37 l
+1.38 0.38 l
+1.37 0.40 l
+1.38 0.41 l
+1.37 0.42 l
+1.37 0.43 l
+1.38 0.43 l
+1.37 0.44 l
+1.38 0.44 l
+1.37 0.44 l
+1.38 0.44 l
+221.52 72.03 lineto
+1.37 0.42 l
+1.38 0.42 l
+1.37 0.42 l
+1.38 0.40 l
+1.37 0.39 l
+1.37 0.39 l
+1.38 0.38 l
+1.37 0.37 l
+1.38 0.37 l
+1.37 0.36 l
+1.38 0.36 l
+1.37 0.36 l
+1.37 0.37 l
+1.38 0.38 l
+1.37 0.38 l
+1.38 0.40 l
+1.37 0.42 l
+1.37 0.43 l
+1.38 0.47 l
+1.37 0.48 l
+1.38 0.52 l
+1.37 0.55 l
+1.38 0.59 l
+1.37 0.62 l
+1.37 0.66 l
+1.38 0.69 l
+1.37 0.74 l
+1.38 0.78 l
+1.37 0.82 l
+1.37 0.85 l
+1.38 0.89 l
+1.37 0.92 l
+1.38 0.96 l
+1.37 0.99 l
+1.37 1.01 l
+1.38 1.04 l
+1.37 1.05 l
+1.38 1.08 l
+1.37 1.08 l
+1.38 1.10 l
+1.37 1.10 l
+1.37 1.10 l
+1.38 1.10 l
+1.37 1.10 l
+1.38 1.09 l
+1.37 1.07 l
+1.37 1.06 l
+1.38 1.05 l
+1.37 1.03 l
+1.38 1.01 l
+1.37 0.99 l
+1.38 0.97 l
+1.37 0.95 l
+1.37 0.92 l
+1.38 0.90 l
+1.37 0.88 l
+1.38 0.86 l
+1.37 0.83 l
+1.37 0.82 l
+1.38 0.80 l
+1.37 0.79 l
+1.38 0.77 l
+1.37 0.76 l
+1.38 0.75 l
+1.37 0.74 l
+1.37 0.75 l
+1.38 0.74 l
+1.37 0.75 l
+1.38 0.76 l
+1.37 0.77 l
+1.37 0.78 l
+1.38 0.81 l
+1.37 0.82 l
+1.38 0.86 l
+1.37 0.87 l
+1.38 0.91 l
+1.37 0.94 l
+1.37 0.99 l
+1.38 1.02 l
+1.37 1.05 l
+1.38 1.09 l
+1.37 1.13 l
+1.37 1.16 l
+1.38 1.21 l
+1.37 1.23 l
+1.38 1.26 l
+1.37 1.28 l
+1.38 1.30 l
+1.37 1.32 l
+1.37 1.33 l
+1.38 1.33 l
+1.37 1.32 l
+1.38 1.31 l
+1.37 1.30 l
+1.37 1.27 l
+1.38 1.24 l
+1.37 1.20 l
+1.38 1.17 l
+1.37 1.12 l
+358.94 157.84 lineto
+1.37 1.00 l
+1.37 0.96 l
+1.38 0.89 l
+1.37 0.84 l
+1.38 0.78 l
+1.37 0.72 l
+1.37 0.65 l
+1.38 0.61 l
+1.37 0.55 l
+1.38 0.51 l
+1.37 0.47 l
+1.38 0.42 l
+1.37 0.40 l
+1.37 0.37 l
+1.38 0.35 l
+1.37 0.33 l
+1.38 0.32 l
+1.37 0.32 l
+1.37 0.32 l
+1.38 0.33 l
+1.37 0.34 l
+1.38 0.35 l
+1.37 0.37 l
+1.37 0.39 l
+1.38 0.41 l
+1.37 0.43 l
+1.38 0.46 l
+1.37 0.47 l
+1.38 0.50 l
+1.37 0.52 l
+1.37 0.53 l
+1.38 0.54 l
+1.37 0.55 l
+1.38 0.55 l
+1.37 0.55 l
+1.37 0.55 l
+1.38 0.53 l
+1.37 0.52 l
+1.38 0.50 l
+1.37 0.46 l
+1.38 0.43 l
+1.37 0.39 l
+1.37 0.35 l
+1.38 0.30 l
+1.37 0.25 l
+1.38 0.18 l
+1.37 0.14 l
+1.37 0.07 l
+1.38 0.01 l
+1.37 -0.04 l
+1.38 -0.12 l
+1.37 -0.19 l
+1.38 -0.24 l
+1.37 -0.30 l
+1.37 -0.35 l
+1.38 -0.42 l
+1.37 -0.48 l
+1.38 -0.52 l
+1.37 -0.58 l
+1.37 -0.61 l
+1.38 -0.66 l
+1.37 -0.70 l
+1.38 -0.74 l
+1.37 -0.77 l
+1.38 -0.79 l
+1.37 -0.82 l
+1.37 -0.85 l
+1.38 -0.86 l
+1.37 -0.89 l
+1.38 -0.90 l
+1.37 -0.91 l
+1.37 -0.93 l
+1.38 -0.95 l
+1.37 -0.95 l
+1.38 -0.97 l
+1.37 -0.98 l
+1.38 -0.99 l
+1.37 -1.00 l
+1.37 -1.01 l
+1.38 -1.03 l
+1.37 -1.04 l
+1.38 -1.06 l
+1.37 -1.07 l
+1.37 -1.08 l
+1.38 -1.10 l
+1.37 -1.12 l
+1.38 -1.13 l
+1.37 -1.14 l
+1.38 -1.15 l
+1.37 -1.17 l
+1.37 -1.18 l
+1.38 -1.19 l
+1.37 -1.19 l
+1.38 -1.21 l
+1.37 -1.20 l
+1.37 -1.21 l
+1.38 -1.22 l
+1.37 -1.21 l
+1.38 -1.21 l
+496.35 135.99 lineto
+1.38 -1.20 l
+1.37 -1.20 l
+1.37 -1.18 l
+1.38 -1.19 l
+1.37 -1.17 l
+1.38 -1.17 l
+1.37 -1.16 l
+1.37 -1.15 l
+1.38 -1.15 l
+1.37 -1.14 l
+1.38 -1.14 l
+1.37 -1.14 l
+1.37 -1.14 l
+1.38 -1.13 l
+1.37 -1.14 l
+1.38 -1.14 l
+1.37 -1.15 l
+1.38 -1.14 l
+1.37 -1.15 l
+1.37 -1.16 l
+1.38 -1.15 l
+1.37 -1.16 l
+1.38 -1.15 l
+1.37 -1.16 l
+1.37 -1.15 l
+1.38 -1.15 l
+1.37 -1.14 l
+1.38 -1.12 l
+1.37 -1.12 l
+1.38 -1.09 l
+1.37 -1.08 l
+1.37 -1.06 l
+1.38 -1.04 l
+1.37 -1.01 l
+1.38 -0.97 l
+1.37 -0.95 l
+1.37 -0.92 l
+1.38 -0.88 l
+1.37 -0.86 l
+1.38 -0.82 l
+1.37 -0.78 l
+1.38 -0.75 l
+1.37 -0.72 l
+1.37 -0.68 l
+1.38 -0.66 l
+1.37 -0.63 l
+1.38 -0.59 l
+1.37 -0.58 l
+1.37 -0.54 l
+1.38 -0.53 l
+1.37 -0.51 l
+1.38 -0.48 l
+1.37 -0.47 l
+1.38 -0.46 l
+1.37 -0.45 l
+1.37 -0.43 l
+1.38 -0.43 l
+1.37 -0.41 l
+1.38 -0.41 l
+1.37 -0.41 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.40 l
+1.38 -0.41 l
+1.37 -0.40 l
+1.38 -0.41 l
+1.37 -0.41 l
+1.37 -0.42 l
+1.38 -0.42 l
+1.37 -0.43 l
+1.38 -0.42 l
+1.37 -0.44 l
+1.37 -0.44 l
+1.38 -0.44 l
+1.37 -0.44 l
+1.38 -0.45 l
+1.37 -0.44 l
+1.38 -0.45 l
+1.37 -0.45 l
+1.37 -0.44 l
+1.38 -0.44 l
+1.37 -0.43 l
+1.38 -0.43 l
+1.37 -0.42 l
+1.37 -0.41 l
+1.38 -0.40 l
+1.37 -0.39 l
+1.38 -0.37 l
+1.37 -0.36 l
+1.37 -0.35 l
+1.38 -0.33 l
+1.37 -0.31 l
+1.38 -0.30 l
+1.37 -0.28 l
+1.38 -0.27 l
+1.37 -0.25 l
+1.37 -0.23 l
+1.38 -0.22 l
+1.37 -0.21 l
+633.77 65.84 lineto
+1.37 -0.17 l
+1.37 -0.17 l
+1.38 -0.15 l
+1.37 -0.14 l
+1.38 -0.14 l
+1.37 -0.12 l
+1.38 -0.12 l
+1.37 -0.11 l
+1.37 -0.10 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.38 -0.10 l
+1.37 -0.09 l
+1.37 -0.08 l
+1.38 -0.09 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.09 l
+1.38 -0.09 l
+1.37 -0.08 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.09 l
+1.38 -0.08 l
+1.37 -0.09 l
+1.37 -0.08 l
+1.38 -0.08 l
+1.37 -0.08 l
+1.38 -0.07 l
+1.37 -0.08 l
+1.38 -0.06 l
+1.37 -0.07 l
+1.37 -0.06 l
+1.38 -0.06 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.05 l
+1.37 -0.04 l
+1.38 -0.05 l
+1.37 -0.05 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.05 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.38 -0.04 l
+1.37 -0.04 l
+1.37 -0.03 l
+1.38 -0.04 l
+1.37 -0.03 l
+1.38 -0.03 l
+1.37 -0.02 l
+1.37 -0.03 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.02 l
+1.37 -0.02 l
+1.38 -0.01 l
+1.37 -0.01 l
+1.37 -0.02 l
+1.38 -0.01 l
+771.18 60.85 lineto
+1.38 0 l
+1.37 -0.01 l
+1.37 -0.01 l
+1.38 0 l
+1.37 -0.01 l
+1.38 0 l
+1.37 0 l
+1.38 -0.01 l
+1.37 0 l
+1.37 0 l
+1.38 0 l
+o
+18.00 18.00 823.89 577.28 cl
+0 setgray
+0.75 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+96.51 56.02 m
+544.42 0 l
+o
+np
+96.51 56.02 m
+0 -2.38 l
+o
+np
+277.98 56.02 m
+0 -2.38 l
+o
+np
+459.46 56.02 m
+0 -2.38 l
+o
+np
+640.93 56.02 m
+0 -2.38 l
+o
+/ps 8 def /Font1 findfont 8 s
+96.51 42.71 (0) .5 0 0 t
+277.98 42.71 (5) .5 0 0 t
+459.46 42.71 (10) .5 0 0 t
+640.93 42.71 (15) .5 0 0 t
+np
+56.02 60.80 m
+0 106.86 l
+o
+np
+56.02 60.80 m
+-2.38 0 l
+o
+np
+56.02 96.42 m
+-2.38 0 l
+o
+np
+56.02 132.04 m
+-2.38 0 l
+o
+np
+56.02 167.66 m
+-2.38 0 l
+o
+48.41 60.80 (0.00) .5 0 90 t
+48.41 96.42 (0.05) .5 0 90 t
+48.41 132.04 (0.10) .5 0 90 t
+48.41 167.66 (0.15) .5 0 90 t
+np
+56.02 56.02 m
+758.37 0 l
+0 129.40 l
+-758.37 0 l
+0 -129.40 l
+o
+18.00 18.00 823.89 204.43 cl
+/ps 10 def /Font2 findfont 10 s
+0 setgray
+435.20 191.33 (First Differences: E\(Y|X1\)-E\(Y|X\)) .5 0 0 t
+/ps 8 def /Font1 findfont 8 s
+35.11 120.72 (Density) .5 0 90 t
+56.02 56.02 814.39 185.42 cl
+0.7451 setgray
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+56.02 60.80 m
+758.37 0 l
+o
+77.04 91.44 793.65 238.60 cl
+ep
+%%Trailer
+%%Pages: 26
+%%EOF
diff --git a/inst/doc/arima.Rnw b/inst/doc/arima.Rnw
new file mode 100644
index 0000000..9ba5180
--- /dev/null
+++ b/inst/doc/arima.Rnw
@@ -0,0 +1,329 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/arima}
+\include{zinput}
+%\VignetteIndexEntry{ARIMA Models for Time Series Data}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,time series}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+\section{{\tt ARIMA}: ARIMA Models for Time Series Data}
+\label{ARIMA} 
+
+Use auto-regressive, integrated, moving-average (ARIMA) models for
+time series data.  A time series is a set of observations ordered
+according to the time they were observed.  Because the value observed
+at time $t$ may depend on values observed at previous time points,
+time series data may violate independence assumptions.  An ARIMA($p$,
+$d$, $q$) model can account for temporal dependence in several ways.
+First, the time series is differenced to render it stationary, by
+taking $d$ differences.  Second, the time dependence of the stationary
+process is modeled by including $p$ auto-regressive and $q$
+moving-average terms, in addition to any time-varying covariates.  For
+a cyclical time series, these steps can be repeated according to the
+period of the cycle, whether quarterly or monthly or another time
+interval.  ARIMA models are extremely flexible for continuous data.
+Common formulations include, ARIMA(0, 0, 0) for least squares
+regression (see \Sref{ls}), ARIMA(1, 0, 0), for an AR1 model, and
+ARIMA(0, 0, 1) for an MA1 model.  For a more comprehensive review of
+ARIMA models, see \cite{Enders04}.
+
+\subsubsection*{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Diff(Y, d, ds=NULL, per=NULL) ~ lag.y(p, ps=NULL) 
+                 + lag.eps(q, qs=NULL) + X1 + X2, 
+                 model="arima", data=mydata, ...)
+> x.out <- setx(z.out, X1 = list(time, value), cond = FALSE) 
+> s.out <- sim(z.out, x=x.out, x1=NULL)
+\end{verbatim}
+
+\subsubsection*{Inputs}
+In addition to independent variables, {\tt zelig()} accepts the
+following arguments to specify the {\tt ARIMA} model:
+\begin{itemize}
+\item {\tt Diff(Y, d, ds, per)} for a dependent variable Y sets the
+number of non-seasonal differences ({\tt d}), the number of seasonal differences ({\tt
+ds}), and the period of the season ({\tt per}).
+\item {\tt lag.y(p, ps)} sets the number of lagged observations of the
+dependent variable for non-seasonal ({\tt p}) and seasonal ({\tt ps})
+components.
+\item {\tt lag.eps(q, qs)} sets the number of lagged innovations, or
+differences between the observed value of the time series and the
+expected value of the time series for non-seasonal ({\tt q}) and
+seasonal ({\tt qs}) components.  
+\end{itemize}
+In addition the user can control the estimation of the time
+series with the following terms: 
+\begin{itemize}
+\item $\hdots$: Additional inputs.  See {\tt help(arima)} in the stats
+library for further information.
+\end{itemize}
+  
+\subsubsection*{Stationarity}
+A stationary time series has finite variance, correlations between
+observations that are not time-dependent, and a constant expected
+value for all components of the time series \citep[p.\ 12]{BroDav91}.
+Users should ensure that the time series being analyzed is stationary
+before specifying a model.  The following commands provide diagnostics
+to determine if a time series {\tt Y} is stationary.
+\begin{itemize}
+\item {\tt pp.test(Y)}: Tests the null hypothesis that the time series
+  is non-stationary.  
+\item {\tt kpss.test(Y)}: Tests the null hypothesis that the time
+  series model is stationary.
+\end{itemize}  
+The following commands provide graphical means of diagnosing whether a
+given time series is stationary.  
+\begin{itemize}
+\item {\tt ts.plot(Y)}: Plots the observed time series.  
+\item {\tt acf(Y)}: Provides the sample auto-correlation function
+(correlogram) for the time series.
+\item {\tt pacf(Y)}: Provides the sample partial auto-correlation
+  function (PACF) for the time series.  \\
+\end{itemize}
+These latter two plots are also useful in determining the $p$
+autoregressive terms and the $q$ lagged error terms.  See
+\cite{Enders04} for a complete description of how to utilize ACF and
+PACF plots to determine the order of an ARIMA model.
+
+\subsubsection*{Examples}
+
+\begin{enumerate}
+
+\item No covariates\newline
+
+Estimate the ARIMA model, and summarize the results.
+<<Examples.data>>=
+ data(approval)
+@ 
+<<Example1.zelig>>=
+z.out1 <- zelig(Diff(approve, 1) ~ lag.eps(2) + lag.y(2), 
+              data = approval, model = "arima")
+summary(z.out1)
+@ 
+Set the number of time periods (ahead) for the prediction to run.
+for which you would like the prediction to run:
+<<Example1.setx>>=
+x.out1 <- setx(z.out1, pred.ahead = 10)
+@ 
+Simulate the predicted quantities of interest:
+<<Example1.sim>>=
+s.out1 <- sim(z.out1, x = x.out1)
+@ 
+Summarize and plot the results:
+<<Example1.summary>>=
+summary(s.out1)
+@ 
+\begin{center}
+<<label=Example1Plot,fig=true>>= 
+ plot(s.out1,lty.set=2)
+@ 
+\end{center}
+
+\item Calculating a treatment effect\newline
+
+Estimate an ARIMA model with exogenous regressors, in addition to
+lagged errors and lagged values of the dependent variable.
+
+<<Example2.zelig>>=
+z.out2<- zelig(Diff(approve, 1)~ iraq.war + sept.oct.2001 + avg.price + lag.eps(1) + lag.y(2),
+               data=approval, model="arima")
+@ 
+To calculate a treatment effect, provide one counterfactual value for
+one time period for one of the exogenous regressors (this is the
+counterfactual treatment). 
+<<Example2.setx>>=
+x.out2<- setx(z.out2, sept.oct.2001=list(time=45, value=0), cond=T)
+
+@ 
+Simulate the quantities of interes
+<<Example2.sim>>=
+s.out2 <- sim(z.out2, x = x.out2) 
+@ 
+Summarizing and plotting the quantities of interest.
+<<Example2.summary>>=
+summary(s.out2)
+@
+%the plot does not work 
+\begin{center}
+<<label=Example2Plot,fig=true>>= 
+ plot(s.out2)
+@ 
+\end{center}
+
+\item Calculating first differences\newline
+
+Continuing the example from above, calculate first differences by
+selecting several counterfactual values for one of the exogenous
+regressors. 
+<<Example3.setx>>=
+x.out3 <- setx(z.out2, sept.oct.2001 = list(time = 45:50, value=0))
+x1.out3 <- setx(z.out2, sept.oct.2001 = list(time = 45:50, value=1))
+@ 
+Simulating the quantities of interest
+<<Example3.sim>>=
+s.out3 <- sim(z.out2, x = x.out3, x1 = x1.out3)
+@ 
+Summarizing and plotting the quantities of interest. Choosing {\tt
+pred.se = TRUE} only displays the uncertainty resulting from parameter
+estimation.  
+<<Example3.summary>>=
+summary(s.out3)
+@
+%the plot does not work
+\begin{center}
+<<label=Example3Plot,fig=true>>= 
+plot(s.out3, pred.se = TRUE) 
+@ 
+\end{center} 
+\end{enumerate}
+
+\subsubsection*{Model}
+Suppose we observe a time series $Y$, with observations $Y_i$ where
+$i$ denotes the time at which the observation was recorded.  The first
+step in the ARIMA procedure is to ensure that this series is
+stationary.  If initial diagnostics indicate non-stationarity, then we
+take additional differences until the diagnostics indicate
+stationarity.  Formally, define the difference operator, $\nabla^
+{d}$, as follows.  When $d = 1$, $\nabla^{1} Y = Y_i - Y_{i-1}$, for
+all observations in the series.  When $d=2$, $\nabla^2 Y = (Y_{i} -
+Y_{i-1}) - (Y_{i-1} - Y_{i-2})$.  This is analogous to a polynomial
+expansion, $Y_{i} - 2Y_{i-1} + Y_{i-2}$.  Higher orders of
+differencing ($d > 2$) following the same function.  Let $Y^*$
+represent the stationary time series derived from the initial time
+series by differencing $Y$ $d$ times.  In the second step, lagged
+values of $Y^{*}$ and errors $\mu - Y^*_i$ are used to model the time
+series.  ARIMA utilizes a state space representation of the ARIMA
+model to assemble the likelihood and then utilizes maximum likelihood
+to estimate the parameters of the model.  See \cite{BroDav91} Chapter
+12 for further details.
+\begin{itemize}
+\item A stationary time series $Y_i^*$ that has been differenced $d$
+times has \textit{stochastic component}:
+\begin{equation*} 
+Y_i^* \sim \text{Normal} (\mu_i, \sigma^2),
+\end{equation*}
+where $\mu_i$ and $\sigma^2$ are the mean and variance of the Normal
+distribution, respectively.  
+\item The \textit{systematic component}, $\mu_i$ is modeled as
+\begin{equation*}
+\mu_i = x_i \beta + \alpha_1 Y_{i-1}^* + \hdots + \alpha_p Y_{i-p}^*
++ \gamma_1\epsilon_{i-1} + \hdots + \gamma_q \epsilon_{i-q}
+\end{equation*}
+where $x_i$ are the explanatory variables with associated parameter
+vector $\beta$; $Y^*$ the lag-$p$ observations from the stationary time
+series with associated parameter vector $\alpha$; and $\epsilon_i$ the
+lagged errors or innovations of order $q$, with associated parameter vector
+$\gamma$.   
+\end{itemize}
+
+\subsubsection*{Quantities of Interest}
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the stochastic component, 
+\begin{equation*}
+\text{E(}Y_\text{i}) = \mu_i = x_i \beta + \alpha_1 Y_{i-1}^* + \hdots + \alpha_p Y_{i-p}^*
++ \gamma_1\epsilon_{i-1} + \hdots + \gamma_q \epsilon_{i-q}
+\end{equation*}
+given draws of $\beta$, $\alpha$, and $\gamma$ from their estimated
+distribution.
+\item The first difference ({\tt qi\$fd}) is: 
+\begin{equation*}
+\text{FD}_i= E(Y | x_{1i}) - E(Y|x_{i})  
+\end{equation*}
+\item The treatment effect ({\tt qi\$t.eff}), obtained with {\tt
+setx(\dots, cond = TRUE)}, represents the difference
+between the observed time series and the expected value of a time
+series with counterfactual values of the external regressors.  Formally,
+\begin{equation*}
+\text{t.eff}_\text{i} = Y_i - E[Y_i | x_{i}] 
+\end{equation*}
+Zelig will not estimate both first differences and treatment effects.
+\end{itemize}
+
+\subsubsection*{Output Values}
+The output of each Zelig command contains useful information which the
+user may view.  For example, if the user runs {\tt z.out <-
+zelig(Diff(Y,1) + lag.y(1) + lag.eps(1) + X1, model = "arima", data)}
+then the user may examine the available information in {\tt z.out} by
+using {\tt names(z.out)}, see the coefficients by using {\tt
+z.out\$coef} and a default summary of information through {\tt
+summary(z.out)}.  {\tt tsdiag(z.out)} returns a plot of the residuals,
+the ACF of the residuals, and a plot displaying the $p$-values for the
+Ljung-Box statistic.  Other elements, available through the \$
+operator are listed below.
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract: 
+\begin{itemize}
+\item {\tt coef}: parameter estimates for the explanatory variables,
+lagged observations of the time series, and lagged innovations.  
+\item {\tt sigma2}: maximum likelihood estimate of the variance of
+the stationary time series.
+\item {\tt var.coef}: variance-covariance matrix for the parameters.
+\item {\tt loglik}: maximized log-likelihood.
+\item {\tt aic}: Akaike Information Criterion (AIC) for the maximized
+  log-likelihood.
+\item {\tt residuals}: Residuals from the fitted model.
+\item {\tt arma}: A vector with seven elements corresponding to the AR
+and MA, the seasonal AR and MA, the period of the seasonal component,
+and the number of non-seasonal and seasonal differences of the
+dependent variable.
+\item {\tt data}: the name of the input data frame.   
+\end{itemize}
+\item From the {\tt sim()} output object {\tt s.out} you may extract
+  quantities of interest arranged as matrices, with the rows
+  indicating the number of the simulations, and the columns
+  representing the simulated value of the dependent variable for the
+  counterfactual value at that time period.  {\tt summary(s.out)}
+  provides a summary of the simulated values, while {\tt plot(s.out)}
+  provides a graphical representation of the simulations.  Available
+  quantities are:
+\begin{itemize}
+\item {\tt qi\$ev}: the simulated expected probabilities for the
+  specified values of {\tt x}.  
+\item {\tt qi\$fd} : the simulated first difference for the values
+  that are specified in {\tt x} and {\tt x1}.
+\item{ \tt qi\$t.eff}: the simulated treatment effect, difference
+between the observed {\tt y} and the expected values given the
+counterfactual values specified in {\tt x}.     
+\end{itemize}  
+\end{itemize}
+
+\subsection*{See Also}
+
+Additional options for ARIMA models may be found using {\tt
+help(arima)}.  
+
+For an accessible introduction to identifying the order of an ARIMA
+model consult: 
+\begin{verse}
+\bibentry{Enders04}.
+\end{verse}
+In addition, advanced users may wish to become more familiar with the state-space
+representation of an ARIMA process:
+\begin{verse}
+\bibentry{BroDav91}.
+\end{verse}
+
+\subsubsection*{Contributors}
+The ARIMA function is part of the stats package by William Venables
+and Brian Ripley.  Please cite the model as: 
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+Justin Grimmer added Zelig functionality.  
+<<afterpkgs, echo=FALSE>>=
+ after <- search()
+ torm <- setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/arima.pdf b/inst/doc/arima.pdf
new file mode 100644
index 0000000..f2437c6
Binary files /dev/null and b/inst/doc/arima.pdf differ
diff --git a/inst/doc/arima.tex b/inst/doc/arima.tex
new file mode 100644
index 0000000..e38066f
--- /dev/null
+++ b/inst/doc/arima.tex
@@ -0,0 +1,349 @@
+
+\include{zinput}
+%\VignetteIndexEntry{ARIMA Models for Time Series Data}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,time series}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\section{{\tt ARIMA}: ARIMA Models for Time Series Data}
+\label{ARIMA} 
+
+Use auto-regressive, integrated, moving-average (ARIMA) models for
+time series data.  A time series is a set of observations ordered
+according to the time they were observed.  Because the value observed
+at time $t$ may depend on values observed at previous time points,
+time series data may violate independence assumptions.  An ARIMA($p$,
+$d$, $q$) model can account for temporal dependence in several ways.
+First, the time series is differenced to render it stationary, by
+taking $d$ differences.  Second, the time dependence of the stationary
+process is modeled by including $p$ auto-regressive and $q$
+moving-average terms, in addition to any time-varying covariates.  For
+a cyclical time series, these steps can be repeated according to the
+period of the cycle, whether quarterly or monthly or another time
+interval.  ARIMA models are extremely flexible for continuous data.
+Common formulations include, ARIMA(0, 0, 0) for least squares
+regression (see \Sref{ls}), ARIMA(1, 0, 0), for an AR1 model, and
+ARIMA(0, 0, 1) for an MA1 model.  For a more comprehensive review of
+ARIMA models, see \cite{Enders04}.
+
+\subsubsection*{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Diff(Y, d, ds=NULL, per=NULL) ~ lag.y(p, ps=NULL) 
+                 + lag.eps(q, qs=NULL) + X1 + X2, 
+                 model="arima", data=mydata, ...)
+> x.out <- setx(z.out, X1 = list(time, value), cond = FALSE) 
+> s.out <- sim(z.out, x=x.out, x1=NULL)
+\end{verbatim}
+
+\subsubsection*{Inputs}
+In addition to independent variables, {\tt zelig()} accepts the
+following arguments to specify the {\tt ARIMA} model:
+\begin{itemize}
+\item {\tt Diff(Y, d, ds, per)} for a dependent variable Y sets the
+number of non-seasonal differences ({\tt d}), the number of seasonal differences ({\tt
+ds}), and the period of the season ({\tt per}).
+\item {\tt lag.y(p, ps)} sets the number of lagged observations of the
+dependent variable for non-seasonal ({\tt p}) and seasonal ({\tt ps})
+components.
+\item {\tt lag.eps(q, qs)} sets the number of lagged innovations, or
+differences between the observed value of the time series and the
+expected value of the time series for non-seasonal ({\tt q}) and
+seasonal ({\tt qs}) components.  
+\end{itemize}
+In addition the user can control the estimation of the time
+series with the following terms: 
+\begin{itemize}
+\item $\hdots$: Additional inputs.  See {\tt help(arima)} in the stats
+library for further information.
+\end{itemize}
+  
+\subsubsection*{Stationarity}
+A stationary time series has finite variance, correlations between
+observations that are not time-dependent, and a constant expected
+value for all components of the time series \citep[p.\ 12]{BroDav91}.
+Users should ensure that the time series being analyzed is stationary
+before specifying a model.  The following commands provide diagnostics
+to determine if a time series {\tt Y} is stationary.
+\begin{itemize}
+\item {\tt pp.test(Y)}: Tests the null hypothesis that the time series
+  is non-stationary.  
+\item {\tt kpss.test(Y)}: Tests the null hypothesis that the time
+  series model is stationary.
+\end{itemize}  
+The following commands provide graphical means of diagnosing whether a
+given time series is stationary.  
+\begin{itemize}
+\item {\tt ts.plot(Y)}: Plots the observed time series.  
+\item {\tt acf(Y)}: Provides the sample auto-correlation function
+(correlogram) for the time series.
+\item {\tt pacf(Y)}: Provides the sample partial auto-correlation
+  function (PACF) for the time series.  \\
+\end{itemize}
+These latter two plots are also useful in determining the $p$
+autoregressive terms and the $q$ lagged error terms.  See
+\cite{Enders04} for a complete description of how to utilize ACF and
+PACF plots to determine the order of an ARIMA model.
+
+\subsubsection*{Examples}
+
+\begin{enumerate}
+
+\item No covariates\newline
+
+Estimate the ARIMA model, and summarize the results.
+\begin{Schunk}
+\begin{Sinput}
+> data(approval)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(Diff(approve, 1) ~ lag.eps(2) + lag.y(2), data = approval, 
++     model = "arima")
+> summary(z.out1)
+\end{Sinput}
+\end{Schunk}
+Set the number of time periods (ahead) for the prediction to run.
+for which you would like the prediction to run:
+\begin{Schunk}
+\begin{Sinput}
+> x.out1 <- setx(z.out1, pred.ahead = 10)
+\end{Sinput}
+\end{Schunk}
+Simulate the predicted quantities of interest:
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.out1)
+\end{Sinput}
+\end{Schunk}
+Summarize and plot the results:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1, lty.set = 2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/arima-Example1Plot}
+\end{center}
+
+\item Calculating a treatment effect\newline
+
+Estimate an ARIMA model with exogenous regressors, in addition to
+lagged errors and lagged values of the dependent variable.
+
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(Diff(approve, 1) ~ iraq.war + sept.oct.2001 + 
++     avg.price + lag.eps(1) + lag.y(2), data = approval, model = "arima")
+\end{Sinput}
+\end{Schunk}
+To calculate a treatment effect, provide one counterfactual value for
+one time period for one of the exogenous regressors (this is the
+counterfactual treatment). 
+\begin{Schunk}
+\begin{Sinput}
+> x.out2 <- setx(z.out2, sept.oct.2001 = list(time = 45, value = 0), 
++     cond = T)
+\end{Sinput}
+\end{Schunk}
+Simulate the quantities of interes
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out2, x = x.out2)
+\end{Sinput}
+\end{Schunk}
+Summarizing and plotting the quantities of interest.
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+%the plot does not work 
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/arima-Example2Plot}
+\end{center}
+
+\item Calculating first differences\newline
+
+Continuing the example from above, calculate first differences by
+selecting several counterfactual values for one of the exogenous
+regressors. 
+\begin{Schunk}
+\begin{Sinput}
+> x.out3 <- setx(z.out2, sept.oct.2001 = list(time = 45:50, value = 0))
+> x1.out3 <- setx(z.out2, sept.oct.2001 = list(time = 45:50, value = 1))
+\end{Sinput}
+\end{Schunk}
+Simulating the quantities of interest
+\begin{Schunk}
+\begin{Sinput}
+> s.out3 <- sim(z.out2, x = x.out3, x1 = x1.out3)
+\end{Sinput}
+\end{Schunk}
+Summarizing and plotting the quantities of interest. Choosing {\tt
+pred.se = TRUE} only displays the uncertainty resulting from parameter
+estimation.  
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out3)
+\end{Sinput}
+\end{Schunk}
+%the plot does not work
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out3, pred.se = TRUE)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/arima-Example3Plot}
+\end{center} 
+\end{enumerate}
+
+\subsubsection*{Model}
+Suppose we observe a time series $Y$, with observations $Y_i$ where
+$i$ denotes the time at which the observation was recorded.  The first
+step in the ARIMA procedure is to ensure that this series is
+stationary.  If initial diagnostics indicate non-stationarity, then we
+take additional differences until the diagnostics indicate
+stationarity.  Formally, define the difference operator, $\nabla^
+{d}$, as follows.  When $d = 1$, $\nabla^{1} Y = Y_i - Y_{i-1}$, for
+all observations in the series.  When $d=2$, $\nabla^2 Y = (Y_{i} -
+Y_{i-1}) - (Y_{i-1} - Y_{i-2})$.  This is analogous to a polynomial
+expansion, $Y_{i} - 2Y_{i-1} + Y_{i-2}$.  Higher orders of
+differencing ($d > 2$) following the same function.  Let $Y^*$
+represent the stationary time series derived from the initial time
+series by differencing $Y$ $d$ times.  In the second step, lagged
+values of $Y^{*}$ and errors $\mu - Y^*_i$ are used to model the time
+series.  ARIMA utilizes a state space representation of the ARIMA
+model to assemble the likelihood and then utilizes maximum likelihood
+to estimate the parameters of the model.  See \cite{BroDav91} Chapter
+12 for further details.
+\begin{itemize}
+\item A stationary time series $Y_i^*$ that has been differenced $d$
+times has \textit{stochastic component}:
+\begin{equation*} 
+Y_i^* \sim \text{Normal} (\mu_i, \sigma^2),
+\end{equation*}
+where $\mu_i$ and $\sigma^2$ are the mean and variance of the Normal
+distribution, respectively.  
+\item The \textit{systematic component}, $\mu_i$ is modeled as
+\begin{equation*}
+\mu_i = x_i \beta + \alpha_1 Y_{i-1}^* + \hdots + \alpha_p Y_{i-p}^*
++ \gamma_1\epsilon_{i-1} + \hdots + \gamma_q \epsilon_{i-q}
+\end{equation*}
+where $x_i$ are the explanatory variables with associated parameter
+vector $\beta$; $Y^*$ the lag-$p$ observations from the stationary time
+series with associated parameter vector $\alpha$; and $\epsilon_i$ the
+lagged errors or innovations of order $q$, with associated parameter vector
+$\gamma$.   
+\end{itemize}
+
+\subsubsection*{Quantities of Interest}
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the stochastic component, 
+\begin{equation*}
+\text{E(}Y_\text{i}) = \mu_i = x_i \beta + \alpha_1 Y_{i-1}^* + \hdots + \alpha_p Y_{i-p}^*
++ \gamma_1\epsilon_{i-1} + \hdots + \gamma_q \epsilon_{i-q}
+\end{equation*}
+given draws of $\beta$, $\alpha$, and $\gamma$ from their estimated
+distribution.
+\item The first difference ({\tt qi\$fd}) is: 
+\begin{equation*}
+\text{FD}_i= E(Y | x_{1i}) - E(Y|x_{i})  
+\end{equation*}
+\item The treatment effect ({\tt qi\$t.eff}), obtained with {\tt
+setx(\dots, cond = TRUE)}, represents the difference
+between the observed time series and the expected value of a time
+series with counterfactual values of the external regressors.  Formally,
+\begin{equation*}
+\text{t.eff}_\text{i} = Y_i - E[Y_i | x_{i}] 
+\end{equation*}
+Zelig will not estimate both first differences and treatment effects.
+\end{itemize}
+
+\subsubsection*{Output Values}
+The output of each Zelig command contains useful information which the
+user may view.  For example, if the user runs {\tt z.out <-
+zelig(Diff(Y,1) + lag.y(1) + lag.eps(1) + X1, model = "arima", data)}
+then the user may examine the available information in {\tt z.out} by
+using {\tt names(z.out)}, see the coefficients by using {\tt
+z.out\$coef} and a default summary of information through {\tt
+summary(z.out)}.  {\tt tsdiag(z.out)} returns a plot of the residuals,
+the ACF of the residuals, and a plot displaying the $p$-values for the
+Ljung-Box statistic.  Other elements, available through the \$
+operator are listed below.
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract: 
+\begin{itemize}
+\item {\tt coef}: parameter estimates for the explanatory variables,
+lagged observations of the time series, and lagged innovations.  
+\item {\tt sigma2}: maximum likelihood estimate of the variance of
+the stationary time series.
+\item {\tt var.coef}: variance-covariance matrix for the parameters.
+\item {\tt loglik}: maximized log-likelihood.
+\item {\tt aic}: Akaike Information Criterion (AIC) for the maximized
+  log-likelihood.
+\item {\tt residuals}: Residuals from the fitted model.
+\item {\tt arma}: A vector with seven elements corresponding to the AR
+and MA, the seasonal AR and MA, the period of the seasonal component,
+and the number of non-seasonal and seasonal differences of the
+dependent variable.
+\item {\tt data}: the name of the input data frame.   
+\end{itemize}
+\item From the {\tt sim()} output object {\tt s.out} you may extract
+  quantities of interest arranged as matrices, with the rows
+  indicating the number of the simulations, and the columns
+  representing the simulated value of the dependent variable for the
+  counterfactual value at that time period.  {\tt summary(s.out)}
+  provides a summary of the simulated values, while {\tt plot(s.out)}
+  provides a graphical representation of the simulations.  Available
+  quantities are:
+\begin{itemize}
+\item {\tt qi\$ev}: the simulated expected probabilities for the
+  specified values of {\tt x}.  
+\item {\tt qi\$fd} : the simulated first difference for the values
+  that are specified in {\tt x} and {\tt x1}.
+\item{ \tt qi\$t.eff}: the simulated treatment effect, difference
+between the observed {\tt y} and the expected values given the
+counterfactual values specified in {\tt x}.     
+\end{itemize}  
+\end{itemize}
+
+\subsection*{See Also}
+
+Additional options for ARIMA models may be found using {\tt
+help(arima)}.  
+
+For an accessible introduction to identifying the order of an ARIMA
+model consult: 
+\begin{verse}
+\bibentry{Enders04}.
+\end{verse}
+In addition, advanced users may wish to become more familiar with the state-space
+representation of an ARIMA process:
+\begin{verse}
+\bibentry{BroDav91}.
+\end{verse}
+
+\subsubsection*{Contributors}
+The ARIMA function is part of the stats package by William Venables
+and Brian Ripley.  Please cite the model as: 
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+Justin Grimmer added Zelig functionality.  
+ \end{document}
diff --git a/inst/doc/blogit.Rnw b/inst/doc/blogit.Rnw
new file mode 100644
index 0000000..1bf68de
--- /dev/null
+++ b/inst/doc/blogit.Rnw
@@ -0,0 +1,359 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/blogit}
+\include{zinput}
+
+%\VignetteIndexEntry{Bivariate Logistic Regression for Two Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, VGAM}
+%\VignetteKeyWords{model,logistic regression, dichotomous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+
+\section{{\tt blogit}: Bivariate Logistic Regression for Two
+Dichotomous Dependent Variables}\label{blogit}
+
+Use the bivariate logistic regression model if you have two binary
+dependent variables $(Y_1, Y_2)$, and wish to model them jointly as a
+function of some explanatory variables.  Each pair of dependent
+variables $(Y_{i1}, Y_{i2})$ has four potential outcomes, $(Y_{i1}=1,
+Y_{i2}=1)$, $(Y_{i1}=1, Y_{i2}=0)$, $(Y_{i1}=0, Y_{i2}=1)$, and
+$(Y_{i1}=0, Y_{i2}=0)$.  The joint probability for each of these four
+outcomes is modeled with three systematic components: the marginal
+Pr$(Y_{i1} = 1)$ and Pr$(Y_{i2} = 1)$, and the odds ratio $\psi$,
+which describes the dependence of one marginal on the other.  Each of
+these systematic components may be modeled as functions of (possibly
+different) sets of explanatory variables.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(list(mu1 = Y1 ~ X1 + X2 , 
+                      mu2 = Y2 ~ X1 + X3), 
+                 model = "blogit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Input Values}
+
+In every bivariate logit specification, there are three equations which
+correspond to each dependent variable ($Y_1$, $Y_2$), and $\psi$, the
+odds ratio. You should provide a list of formulas for each equation or, 
+you may use {\tt cbind()} if the right hand side is the same for both equations
+<<InputValues.list>>=
+formulae <- list(cbind(Y1,Y2) ~ X1 + X2)
+@ 
+which means that all the explanatory variables in equations 1 and 2
+(corresponding to $Y_1$ and $Y_2$) are included, but only an intercept
+is estimated (all explanatory variables are omitted) for equation 3
+($\psi$).  
+
+You may use the function {\tt tag()} to constrain variables across
+equations:
+<<InputValues.list.mu>>=
+formulae <- list(mu1 = y1 ~ x1 + tag(x3, "x3"), 
+                 mu2 = y2 ~ x2 + tag(x3, "x3"))
+@ 
+where {\tt tag()} is a special function that constrains variables to
+have the same effect across equations.  Thus, the coefficient for {\tt
+x3} in equation {\tt mu1} is constrained to be equal to the
+coefficient for {\tt x3} in equation {\tt mu2}.  
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+
+\item {Basic Example} \label{basic.bl}
+
+Load the data and estimate the model:  
+<<BasicExample.data>>=
+ data(sanction)
+## sanction
+@ 
+<<BasicExample.zelig>>=
+ z.out1 <- zelig(cbind(import, export) ~ coop + cost + target, 
+                  model = "blogit", data = sanction)
+@ 
+By default, {\tt zelig()} estimates two effect parameters
+for each explanatory variable in addition to the odds ratio parameter;
+this formulation is parametrically independent (estimating
+unconstrained effects for each explanatory variable), but
+stochastically dependent because the models share an odds ratio.
+\newline \newline Generate baseline values for the explanatory
+variables (with cost set to 1, net gain to sender) and alternative
+values (with cost set to 4, major loss to sender):
+<<BasicExample.setx.low>>=
+ x.low <- setx(z.out1, cost = 1)
+@ 
+<<BasicExample.setx.high>>=
+x.high <- setx(z.out1, cost = 4)
+@ 
+Simulate fitted values and first differences:  
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out1, x = x.low, x1 = x.high)
+ summary(s.out1)
+@
+\begin{center}
+<<label=BasicExamplePlot,fig=true>>= 
+ plot(s.out1)
+@ 
+\end{center}
+
+\item {Joint Estimation of a Model with Different Sets of Explanatory Variables}\label{sto.dep.logit}
+
+Using sample data \texttt{sanction}, estimate the statistical model, 
+with {\tt import} a function of {\tt coop} in the first equation and {\tt export} a 
+function of {\tt cost} and {\tt target} in the second equation:
+<<JointExample.zelig>>=
+ z.out2 <- zelig(list(import ~ coop, export ~ cost + target), 
+                  model = "blogit", data = sanction)
+ summary(z.out2)
+@ 
+Set the explanatory variables to their means:
+<<JointExample.setx>>=
+ x.out2 <- setx(z.out2)
+@ 
+Simulate draws from the posterior distribution:
+<<JointExample.sim>>=
+ s.out2 <- sim(z.out2, x = x.out2)
+ summary(s.out2)
+@ 
+\begin{center}
+<<label=JointExamplePlot,fig=true>>= 
+ plot(s.out2)
+@ 
+\end{center}
+
+\item Joint Estimation of a Parametrically and Stochastically
+Dependent Model 
+\label{pdep.l}
+  
+Using the sample data \texttt{sanction}
+The bivariate model is parametrically dependent if $Y_1$ and $Y_2$ share
+some or all explanatory variables, {\it and} the effects of the shared
+explanatory variables are jointly estimated.  For example,
+<<JointEstimation.zelig>>=
+ z.out3 <- zelig(list(import ~ tag(coop,"coop") + tag(cost,"cost") + 
+                           tag(target,"target"), 
+                       export ~ tag(coop,"coop") + tag(cost,"cost") + 
+                           tag(target,"target")), 
+                       model = "blogit", data = sanction)
+ summary(z.out3)
+@ 
+Note that this model only returns one parameter estimate for each of
+{\tt coop}, {\tt cost}, and {\tt target}.  Contrast this to
+Example~\ref{basic.bl} which returns two parameter estimates for each
+of the explanatory variables.  \newline \newline Set values for the
+explanatory variables:
+<<JointEstimation.setx>>=
+x.out3 <- setx(z.out3, cost = 1:4)
+@ 
+Draw simulated expected values:  
+<<JointEstimation.sim>>=
+ s.out3 <- sim(z.out3, x = x.out3)
+ summary(s.out3)
+@ 
+
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+For each observation, define two binary dependent variables, $Y_1$ and
+$Y_2$, each of which take the value of either 0 or 1 (in the
+following, we suppress the observation index).  We model the joint
+outcome $(Y_1$, $Y_2)$ using a marginal probability for each dependent
+variable, and the odds ratio, which parameterizes the relationship
+between the two dependent variables. Define $Y_{rs}$ such that it is
+equal to 1 when $Y_1=r$ and $Y_2=s$ and is 0 otherwise, where $r$ and
+$s$ take a value of either 0 or 1. Then, the model is defined as follows,
+
+\begin{itemize}
+ 
+\item The \emph{stochastic component} is
+\begin{eqnarray*}
+  Y_{11} &\sim& \textrm{Bernoulli}(y_{11} \mid \pi_{11}) \\
+  Y_{10} &\sim& \textrm{Bernoulli}(y_{10} \mid \pi_{10}) \\
+  Y_{01} &\sim& \textrm{Bernoulli}(y_{01} \mid \pi_{01})
+\end{eqnarray*}
+where $\pi_{rs}=\Pr(Y_1=r, Y_2=s)$ is the joint probability, and
+$\pi_{00}=1-\pi_{11}-\pi_{10}-\pi_{01}$.
+
+
+\item The \emph{systematic components} model the marginal probabilities,
+  $\pi_j=\Pr(Y_j=1)$, as well as the odds ratio.  The odds ratio
+  is defined as $\psi = \pi_{00} \pi_{01}/\pi_{10}\pi_{11}$ and
+  describes the relationship between the two outcomes.  Thus, for each
+  observation we have
+\begin{eqnarray*}
+\pi_j & = & \frac{1}{1 + \exp(-x_j \beta_j)} \quad \textrm{ for} \quad
+j=1,2, \\
+\psi &= & \exp(x_3 \beta_3).
+\end{eqnarray*}
+
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the bivariate logit model
+  are the predicted joint probabilities. Simulations of $\beta_1$,
+  $\beta_2$, and $\beta_3$ (drawn from their sampling distributions)
+  are substituted into the systematic components $(\pi_1, \pi_2,
+  \psi)$ to find simulations of the predicted joint probabilities:
+\begin{eqnarray*}
+\pi_{11} & = & \left\{ \begin{array}{ll}
+                 \frac{1}{2}(\psi - 1)^{-1} - {a - \sqrt{a^2 + b}} &
+                 \textrm{for} \; \psi \ne 1 \\
+                 \pi_1 \pi_2 & \textrm{for} \; \psi = 1 
+                 \end{array} \right., \\
+\pi_{10} &=& \pi_1 - \pi_{11}, \\
+\pi_{01} &=& \pi_2 - \pi_{11}, \\
+\pi_{00} &=& 1 - \pi_{10} - \pi_{01} - \pi_{11},
+\end{eqnarray*}
+where $a = 1 + (\pi_1 + \pi_2)(\psi - 1)$, $b = -4 \psi(\psi - 1)
+\pi_1 \pi_2$, and the joint probabilities for each observation must sum
+to one.  For $n$ simulations, the expected values form an $n \times 4$
+matrix for each observation in {\tt x}.  
+
+\item The predicted values ({\tt qi\$pr}) are draws from the
+  multinomial distribution given the expected joint probabilities. 
+
+\item The first differences ({\tt qi\$fd}) for each
+  of the predicted joint probabilities are given by $$\textrm{FD}_{rs}
+  = \Pr(Y_1=r, Y_2=s \mid x_1)-\Pr(Y_1=r, Y_2=s \mid x).$$  
+  
+\item The risk ratio ({\tt qi\$rr}) for each of the predicted joint
+  probabilities are given by
+\begin{equation*}
+\textrm{RR}_{rs} = \frac{\Pr(Y_1=r, Y_2=s \mid x_1)}{\Pr(Y_1=r, Y_2=s \mid x)}
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      E[Y_{ij}(t_i=0)] \right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_{ij}(t_i=0)]$,
+    the counterfactual expected value of $Y_{ij}$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      \widehat{Y_{ij}(t_i=0)} \right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating
+    $\widehat{Y_{ij}(t_i=0)}$, the counterfactual predicted value of
+    $Y_{ij}$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "blogit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+obtain a default summary of information through {\tt summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times 4$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times 3$ matrix of the linear
+     predictors $x_j \beta_j$.
+   \item {\tt residuals}: an $n \times 3$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times 2$ matrix of the dependent variables.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+  \begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times 3$ matrix of the Pearson residuals.  
+  \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as arrays indexed by simulation
+  $\times$ quantity $\times$ {\tt x}-observation (for more than one
+  {\tt x}-observation; otherwise the quantities are matrices).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected joint probabilities (or expected
+     values) for the specified values of {\tt x}.  
+   \item {\tt qi\$pr}: the simulated predicted outcomes drawn from a
+     distribution defined by the expected joint probabilities.
+   \item {\tt qi\$fd}: the simulated first difference in the
+     expected joint probabilities for the values specified in {\tt x} and
+     {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio in the predicted
+     probabilities for given {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The bivariate logit function is part of the VGAM package by Thomas Yee.
+Please cite the model as:
+
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)} 
+in the VGAM library.  Additional
+documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from
+\begin{verse}
+\bibentry{Martin92}.
+\end{verse}
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
diff --git a/inst/doc/blogit.pdf b/inst/doc/blogit.pdf
new file mode 100644
index 0000000..a1afb41
Binary files /dev/null and b/inst/doc/blogit.pdf differ
diff --git a/inst/doc/blogit.tex b/inst/doc/blogit.tex
new file mode 100644
index 0000000..6780481
--- /dev/null
+++ b/inst/doc/blogit.tex
@@ -0,0 +1,375 @@
+
+\include{zinput}
+
+%\VignetteIndexEntry{Bivariate Logistic Regression for Two Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, VGAM}
+%\VignetteKeyWords{model,logistic regression, dichotomous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+
+\section{{\tt blogit}: Bivariate Logistic Regression for Two
+Dichotomous Dependent Variables}\label{blogit}
+
+Use the bivariate logistic regression model if you have two binary
+dependent variables $(Y_1, Y_2)$, and wish to model them jointly as a
+function of some explanatory variables.  Each pair of dependent
+variables $(Y_{i1}, Y_{i2})$ has four potential outcomes, $(Y_{i1}=1,
+Y_{i2}=1)$, $(Y_{i1}=1, Y_{i2}=0)$, $(Y_{i1}=0, Y_{i2}=1)$, and
+$(Y_{i1}=0, Y_{i2}=0)$.  The joint probability for each of these four
+outcomes is modeled with three systematic components: the marginal
+Pr$(Y_{i1} = 1)$ and Pr$(Y_{i2} = 1)$, and the odds ratio $\psi$,
+which describes the dependence of one marginal on the other.  Each of
+these systematic components may be modeled as functions of (possibly
+different) sets of explanatory variables.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(list(mu1 = Y1 ~ X1 + X2 , 
+                      mu2 = Y2 ~ X1 + X3), 
+                 model = "blogit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Input Values}
+
+In every bivariate logit specification, there are three equations which
+correspond to each dependent variable ($Y_1$, $Y_2$), and $\psi$, the
+odds ratio. You should provide a list of formulas for each equation or, 
+you may use {\tt cbind()} if the right hand side is the same for both equations
+\begin{Schunk}
+\begin{Sinput}
+> formulae <- list(cbind(Y1, Y2) ~ X1 + X2)
+\end{Sinput}
+\end{Schunk}
+which means that all the explanatory variables in equations 1 and 2
+(corresponding to $Y_1$ and $Y_2$) are included, but only an intercept
+is estimated (all explanatory variables are omitted) for equation 3
+($\psi$).  
+
+You may use the function {\tt tag()} to constrain variables across
+equations:
+\begin{Schunk}
+\begin{Sinput}
+> formulae <- list(mu1 = y1 ~ x1 + tag(x3, "x3"), mu2 = y2 ~ x2 + 
++     tag(x3, "x3"))
+\end{Sinput}
+\end{Schunk}
+where {\tt tag()} is a special function that constrains variables to
+have the same effect across equations.  Thus, the coefficient for {\tt
+x3} in equation {\tt mu1} is constrained to be equal to the
+coefficient for {\tt x3} in equation {\tt mu2}.  
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+
+\item {Basic Example} \label{basic.bl}
+
+Load the data and estimate the model:  
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(cbind(import, export) ~ coop + cost + target, 
++     model = "blogit", data = sanction)
+\end{Sinput}
+\end{Schunk}
+By default, {\tt zelig()} estimates two effect parameters
+for each explanatory variable in addition to the odds ratio parameter;
+this formulation is parametrically independent (estimating
+unconstrained effects for each explanatory variable), but
+stochastically dependent because the models share an odds ratio.
+\newline \newline Generate baseline values for the explanatory
+variables (with cost set to 1, net gain to sender) and alternative
+values (with cost set to 4, major loss to sender):
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out1, cost = 1)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out1, cost = 4)
+\end{Sinput}
+\end{Schunk}
+Simulate fitted values and first differences:  
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.low, x1 = x.high)
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/blogit-BasicExamplePlot}
+\end{center}
+
+\item {Joint Estimation of a Model with Different Sets of Explanatory Variables}\label{sto.dep.logit}
+
+Using sample data \texttt{sanction}, estimate the statistical model, 
+with {\tt import} a function of {\tt coop} in the first equation and {\tt export} a 
+function of {\tt cost} and {\tt target} in the second equation:
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(list(import ~ coop, export ~ cost + target), 
++     model = "blogit", data = sanction)
+> summary(z.out2)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means:
+\begin{Schunk}
+\begin{Sinput}
+> x.out2 <- setx(z.out2)
+\end{Sinput}
+\end{Schunk}
+Simulate draws from the posterior distribution:
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out2, x = x.out2)
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/blogit-JointExamplePlot}
+\end{center}
+
+\item Joint Estimation of a Parametrically and Stochastically
+Dependent Model 
+\label{pdep.l}
+  
+Using the sample data \texttt{sanction}
+The bivariate model is parametrically dependent if $Y_1$ and $Y_2$ share
+some or all explanatory variables, {\it and} the effects of the shared
+explanatory variables are jointly estimated.  For example,
+\begin{Schunk}
+\begin{Sinput}
+> z.out3 <- zelig(list(import ~ tag(coop, "coop") + tag(cost, "cost") + 
++     tag(target, "target"), export ~ tag(coop, "coop") + tag(cost, 
++     "cost") + tag(target, "target")), model = "blogit", data = sanction)
+> summary(z.out3)
+\end{Sinput}
+\end{Schunk}
+Note that this model only returns one parameter estimate for each of
+{\tt coop}, {\tt cost}, and {\tt target}.  Contrast this to
+Example~\ref{basic.bl} which returns two parameter estimates for each
+of the explanatory variables.  \newline \newline Set values for the
+explanatory variables:
+\begin{Schunk}
+\begin{Sinput}
+> x.out3 <- setx(z.out3, cost = 1:4)
+\end{Sinput}
+\end{Schunk}
+Draw simulated expected values:  
+\begin{Schunk}
+\begin{Sinput}
+> s.out3 <- sim(z.out3, x = x.out3)
+> summary(s.out3)
+\end{Sinput}
+\end{Schunk}
+
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+For each observation, define two binary dependent variables, $Y_1$ and
+$Y_2$, each of which take the value of either 0 or 1 (in the
+following, we suppress the observation index).  We model the joint
+outcome $(Y_1$, $Y_2)$ using a marginal probability for each dependent
+variable, and the odds ratio, which parameterizes the relationship
+between the two dependent variables. Define $Y_{rs}$ such that it is
+equal to 1 when $Y_1=r$ and $Y_2=s$ and is 0 otherwise, where $r$ and
+$s$ take a value of either 0 or 1. Then, the model is defined as follows,
+
+\begin{itemize}
+ 
+\item The \emph{stochastic component} is
+\begin{eqnarray*}
+  Y_{11} &\sim& \textrm{Bernoulli}(y_{11} \mid \pi_{11}) \\
+  Y_{10} &\sim& \textrm{Bernoulli}(y_{10} \mid \pi_{10}) \\
+  Y_{01} &\sim& \textrm{Bernoulli}(y_{01} \mid \pi_{01})
+\end{eqnarray*}
+where $\pi_{rs}=\Pr(Y_1=r, Y_2=s)$ is the joint probability, and
+$\pi_{00}=1-\pi_{11}-\pi_{10}-\pi_{01}$.
+
+
+\item The \emph{systematic components} model the marginal probabilities,
+  $\pi_j=\Pr(Y_j=1)$, as well as the odds ratio.  The odds ratio
+  is defined as $\psi = \pi_{00} \pi_{01}/\pi_{10}\pi_{11}$ and
+  describes the relationship between the two outcomes.  Thus, for each
+  observation we have
+\begin{eqnarray*}
+\pi_j & = & \frac{1}{1 + \exp(-x_j \beta_j)} \quad \textrm{ for} \quad
+j=1,2, \\
+\psi &= & \exp(x_3 \beta_3).
+\end{eqnarray*}
+
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the bivariate logit model
+  are the predicted joint probabilities. Simulations of $\beta_1$,
+  $\beta_2$, and $\beta_3$ (drawn from their sampling distributions)
+  are substituted into the systematic components $(\pi_1, \pi_2,
+  \psi)$ to find simulations of the predicted joint probabilities:
+\begin{eqnarray*}
+\pi_{11} & = & \left\{ \begin{array}{ll}
+                 \frac{1}{2}(\psi - 1)^{-1} - {a - \sqrt{a^2 + b}} &
+                 \textrm{for} \; \psi \ne 1 \\
+                 \pi_1 \pi_2 & \textrm{for} \; \psi = 1 
+                 \end{array} \right., \\
+\pi_{10} &=& \pi_1 - \pi_{11}, \\
+\pi_{01} &=& \pi_2 - \pi_{11}, \\
+\pi_{00} &=& 1 - \pi_{10} - \pi_{01} - \pi_{11},
+\end{eqnarray*}
+where $a = 1 + (\pi_1 + \pi_2)(\psi - 1)$, $b = -4 \psi(\psi - 1)
+\pi_1 \pi_2$, and the joint probabilities for each observation must sum
+to one.  For $n$ simulations, the expected values form an $n \times 4$
+matrix for each observation in {\tt x}.  
+
+\item The predicted values ({\tt qi\$pr}) are draws from the
+  multinomial distribution given the expected joint probabilities. 
+
+\item The first differences ({\tt qi\$fd}) for each
+  of the predicted joint probabilities are given by $$\textrm{FD}_{rs}
+  = \Pr(Y_1=r, Y_2=s \mid x_1)-\Pr(Y_1=r, Y_2=s \mid x).$$  
+  
+\item The risk ratio ({\tt qi\$rr}) for each of the predicted joint
+  probabilities are given by
+\begin{equation*}
+\textrm{RR}_{rs} = \frac{\Pr(Y_1=r, Y_2=s \mid x_1)}{\Pr(Y_1=r, Y_2=s \mid x)}
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      E[Y_{ij}(t_i=0)] \right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_{ij}(t_i=0)]$,
+    the counterfactual expected value of $Y_{ij}$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      \widehat{Y_{ij}(t_i=0)} \right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating
+    $\widehat{Y_{ij}(t_i=0)}$, the counterfactual predicted value of
+    $Y_{ij}$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "blogit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+obtain a default summary of information through {\tt summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times 4$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times 3$ matrix of the linear
+     predictors $x_j \beta_j$.
+   \item {\tt residuals}: an $n \times 3$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times 2$ matrix of the dependent variables.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+  \begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times 3$ matrix of the Pearson residuals.  
+  \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as arrays indexed by simulation
+  $\times$ quantity $\times$ {\tt x}-observation (for more than one
+  {\tt x}-observation; otherwise the quantities are matrices).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected joint probabilities (or expected
+     values) for the specified values of {\tt x}.  
+   \item {\tt qi\$pr}: the simulated predicted outcomes drawn from a
+     distribution defined by the expected joint probabilities.
+   \item {\tt qi\$fd}: the simulated first difference in the
+     expected joint probabilities for the values specified in {\tt x} and
+     {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio in the predicted
+     probabilities for given {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The bivariate logit function is part of the VGAM package by Thomas Yee.
+Please cite the model as:
+
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)} 
+in the VGAM library.  Additional
+documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from
+\begin{verse}
+\bibentry{Martin92}.
+\end{verse}
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
+
+
+
+
diff --git a/inst/doc/bprobit.Rnw b/inst/doc/bprobit.Rnw
new file mode 100644
index 0000000..41088a0
--- /dev/null
+++ b/inst/doc/bprobit.Rnw
@@ -0,0 +1,391 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/bprobit}
+\include{zinput}
+%\VignetteIndexEntry{Bivariate Probit Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, VGAM}
+%\VignetteKeyWords{model,prpbit, logistic regression, dichotomous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{{\tt bprobit}: Bivariate Logistic Regression for Two
+Dichotomous Dependent Variables}\label{bprobit}
+
+Use the bivariate probit regression model if you have two binaryrun
+dependent variables $(Y_1, Y_2)$, and wish to model them jointly as a
+function of some explanatory variables.  Each pair of dependent
+variables $(Y_{i1}, Y_{i2})$ has four potential outcomes, $(Y_{i1}=1,
+Y_{i2}=1)$, $(Y_{i1}=1, Y_{i2}=0)$, $(Y_{i1}=0, Y_{i2}=1)$, and
+$(Y_{i1}=0, Y_{i2}=0)$.  The joint probability for each of these four
+outcomes is modeled with three systematic components: the marginal
+Pr$(Y_{i1} = 1)$ and Pr$(Y_{i2} = 1)$, and the correlation parameter
+$\rho$ for the two marginal distributions.  Each of these systematic
+components may be modeled as functions of (possibly different) sets of
+explanatory variables.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(list(mu1 = Y1 ~ X1 + X2, 
+                      mu2 = Y2 ~ X1 + X3,
+                      rho = ~ 1),
+                 model = "bprobit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Input Values}
+
+In every bivariate probit specification, there are three equations
+which correspond to each dependent variable ($Y_1$, $Y_2$), and the
+correlation parameter $\rho$.  Since the correlation parameter does
+not correspond to one of the dependent variables, the model estimates
+$\rho$ as a constant by default.  Hence, only two formulas (for
+$\mu_1$ and $\mu_2$) are required.  If the explanatory variables for
+$\mu_1$ and $\mu_2$ are the same and effects are estimated separately
+for each parameter, you may use the following short hand:  
+<<InputValues.list>>=
+fml <- list(cbind(Y1,Y2) ~ X1 + X2)
+@ 
+which has the same meaning as:  
+<<InputValues.list.rho>>=
+fml <- list(mu1 = Y1 ~ X1 + X2,  
+            mu2 = Y2 ~ X1 + X2, 
+            rho = ~ 1)
+@ 
+You may use the function {\tt tag()} to constrain variables across
+equations.  The {\tt tag()} function takes a variable and a label for
+the effect parameter.  Below, the constrained effect of {\tt
+x3} in both equations is called the {\tt age} parameter:  
+<<InputValues.list.mu>>=
+fml <- list(mu1 = y1 ~ x1 + tag(x3, "age"), 
+            mu2 = y2 ~ x2 + tag(x3, "age"))
+@ 
+You may also constrain different variables across different equations
+to have the same effect.  
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+
+\item {Basic Example} \label{basic.bp}
+
+Load the data and estimate the model:  
+<<BasicExample.data>>=
+ data(sanction)
+@ 
+<<BasicExample.zelig>>=
+ z.out1 <- zelig(cbind(import, export) ~ coop + cost + target, 
+                  model = "bprobit", data = sanction)
+@ 
+By default, {\tt zelig()} estimates two effect parameters
+for each explanatory variable in addition to the correlation coefficient;
+this formulation is parametrically independent (estimating
+unconstrained effects for each explanatory variable), but
+stochastically dependent because the models share a correlation parameter.
+\newline \newline Generate baseline values for the explanatory
+variables (with cost set to 1, net gain to sender) and alternative
+values (with cost set to 4, major loss to sender):
+<<BasicExample.setx>>=
+ x.low <- setx(z.out1, cost = 1)
+ x.high <- setx(z.out1, cost = 4)
+@ 
+Simulate fitted values and first differences:  
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out1, x = x.low, x1 = x.high)
+ summary(s.out1)
+@ 
+\begin{center}
+<<label=BasicExamplePlot,fig=true>>= 
+ plot(s.out1)
+@ 
+\end{center}
+
+
+\item {Joint Estimation of a Model with Different Sets of Explanatory Variables}\label{sto.dep.probit}
+
+Using the sample data \texttt{sanction}, estimate the statistical model, 
+with {\tt import} a function of {\tt coop} in the first equation and 
+{\tt export} a function of {\tt cost} and {\tt target} in the second equation:
+<<JointEstimation.list>>=
+ fml2 <- list(mu1 = import ~ coop, 
+               mu2 = export ~ cost + target)
+@ 
+<<JointEstimation.zelig>>=
+ z.out2 <- zelig(fml2, model = "bprobit", data = sanction)
+ summary(z.out2)
+@ 
+Set the explanatory variables to their means:
+<<JointEstimation.setx>>=
+ x.out2 <- setx(z.out2)
+@ 
+Simulate draws from the posterior distribution:
+<<JointEstimation.sim>>=
+ s.out2 <- sim(z.out2, x = x.out2)
+ summary(s.out2)
+@
+\begin{center}
+<<label=JointEstimationPlot,fig=true>>= 
+ plot(s.out2)
+@ 
+\end{center}
+
+
+\item Joint Estimation of a Parametrically and Stochastically
+Dependent Model 
+\label{pdep.p}
+  
+Using the sample data \texttt{sanction}.     
+The bivariate model is parametrically dependent if $Y_1$ and $Y_2$ share
+some or all explanatory variables, {\it and} the effects of the shared
+explanatory variables are jointly estimated.  For example,
+<<JointEstimationParam.list>>= 
+ fml3 <- list(mu1 = import ~ tag(coop,"coop") + tag(cost,"cost") + 
+                          tag(target,"target"), 
+               mu2 = export ~ tag(coop,"coop") + tag(cost,"cost") + 
+                          tag(target,"target"))
+@ 
+<<JointEstimationParam.zelig>>= 
+ z.out3 <- zelig(fml3, model = "bprobit", data = sanction)
+ summary(z.out3)
+@ 
+
+Note that this model only returns one parameter estimate for each of
+{\tt coop}, {\tt cost}, and {\tt target}.  Contrast this to
+Example~\ref{basic.bp} which returns two parameter estimates for each
+of the explanatory variables.  \newline \newline Set values for the
+explanatory variables:
+<<JointEstimationParam.setx>>= 
+ x.out3 <- setx(z.out3, cost = 1:4)
+@ 
+Draw simulated expected values:  
+<<JointEstimationParam.sim>>= 
+ s.out3 <- sim(z.out3, x = x.out3)
+ summary(s.out3)
+@ 
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+For each observation, define two binary dependent variables, $Y_1$ and
+$Y_2$, each of which take the value of either 0 or 1 (in the
+following, we suppress the observation index $i$).  We model the joint
+outcome $(Y_1$, $Y_2)$ using two marginal probabilities for each
+dependent variable, and the correlation parameter, which describes how
+the two dependent variables are related. 
+%Define $Y_{rs}$ such that it
+%is equal to 1 when $Y_1=r$ and $Y_2=s$ and is 0 otherwise where $r$
+%and $s$ take a value of either 0 or 1. Then, the model is defined as
+%follows,
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by two latent (unobserved)
+  continuous variables which follow the bivariate Normal distribution:
+\begin{eqnarray*}
+  \left ( \begin{array}{c} 
+      Y_1^* \\
+      Y_2^* 
+    \end{array}
+  \right ) &\sim &  
+  N_2 \left \{ \left ( 
+      \begin{array}{c}
+        \mu_1 \\ \mu_2
+      \end{array} \right ), \left( \begin{array}{cc}
+                 1 & \rho \\
+                 \rho & 1 
+                 \end{array} \right) \right\},
+\end{eqnarray*}
+where $\mu_j$ is a mean for $Y_j^*$ and $\rho$ is a scalar correlation
+parameter. The following observation mechanism links the observed
+dependent variables, $Y_j$, with these latent variables
+\begin{eqnarray*}
+Y_j & = & \left \{ \begin{array}{cc}
+                   1 & {\rm if} \; Y_j^* \ge 0, \\
+                   0 & {\rm otherwise.}
+                   \end{array} 
+                   \right.
+\end{eqnarray*}
+
+%Alternatively, the stochastic component for the observed dependent
+%variables can be written as
+%\begin{eqnarray*}
+%  Y_{11} &\sim& \textrm{Bernoulli}(y_{11} \mid \pi_{11}) \\
+%  Y_{10} &\sim& \textrm{Bernoulli}(y_{10} \mid \pi_{10}) \\
+% Y_{01} &\sim& \textrm{Bernoulli}(y_{01} \mid \pi_{01})
+%\end{eqnarray*}
+%where $\pi_{rs}=\Pr(Y_1=r, Y_2=s)$ is the joint probability, and
+%$\pi_{00}=1-\pi_{11}-\pi_{10}-\pi_{01}$. Each of these joint
+%probabilities is modeled using the bivariate normal cumulative
+%distribution function.
+
+\item The \emph{systemic components} for each observation are 
+  \begin{eqnarray*}
+    \mu_j & = & x_{j} \beta_j \quad {\rm for} \quad j=1,2, \\
+    \rho & = & \frac{\exp(x_3 \beta_3) - 1}{\exp(x_3 \beta_3) + 1}.
+\end{eqnarray*}
+
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+For $n$ simulations, expected values form an $n \times 4$
+matrix.  
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the binomial probit model
+  are the predicted joint probabilities. Simulations of $\beta_1$,
+  $\beta_2$, and $\beta_3$ (drawn form their sampling distributions)
+  are substituted into the systematic components, to find simulations
+  of the predicted joint probabilities $\pi_{rs}=\Pr(Y_1=r, Y_2=s)$:
+\begin{eqnarray*}
+\pi_{11} &= \Pr(Y_1^* \geq 0 , Y_2^* \geq 0) &= \int_0^{\infty}
+\int_0^{\infty} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^* \\
+\pi_{10} &= \Pr(Y_1^* \geq 0 , Y_2^* < 0)  &= \int_0^{\infty}
+\int_{-\infty}^{0} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^*\\
+\pi_{01} &= \Pr(Y_1^* < 0 , Y_2^* \geq 0)  &= \int_{-\infty}^{0}
+\int_0^{\infty} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^*\\
+\pi_{11} &= \Pr(Y_1^* < 0 , Y_2^* < 0)  &= \int_{-\infty}^{0}
+\int_{-\infty}^{0} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^*\\
+\end{eqnarray*}
+where $r$ and $s$ may take a value of either 0 or 1, $\phi_2$ is the
+bivariate Normal density.
+  
+\item The predicted values ({\tt qi\$pr}) are draws from the
+  multinomial distribution given the expected joint probabilities.  
+
+\item The first difference ({\tt qi\$fd}) in each of the predicted joint
+  probabilities are given by
+  $$\textrm{FD}_{rs} = \Pr(Y_1=r, Y_2=s \mid x_1)-\Pr(Y_1=r, Y_2=s
+  \mid x).$$
+  
+\item The risk ratio ({\tt qi\$rr}) for each of the predicted joint
+  probabilities are given by
+\begin{equation*}
+\textrm{RR}_{rs} = \frac{\Pr(Y_1=r, Y_2=s \mid x_1)}{\Pr(Y_1=r, Y_2=s \mid x)}.
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      E[Y_{ij}(t_i=0)] \right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_{ij}(t_i=0)]$,
+    the counterfactual expected value of $Y_{ij}$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      \widehat{Y_{ij}(t_i=0)}\right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating
+    $\widehat{Y_{ij}(t_i=0)}$, the counterfactual predicted value of
+    $Y_{ij}$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\, x,
+  model = "bprobit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+obtain a default summary of information through
+\texttt{summary(z.out)}.  Other elements available through the {\tt
+  \$} operator are listed below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times 4$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times 3$ matrix of the linear
+     predictors $x_j \beta_j$.
+   \item {\tt residuals}: an $n \times 3$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times 2$ matrix of the dependent variables.  
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times 3$ matrix of the Pearson residuals.  
+\end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as arrays indexed by simulation
+  $\times$ quantity $\times$ {\tt x}-observation (for more than one
+  {\tt x}-observation; otherwise the quantities are matrices).  Available quantities
+  are:  
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values (joint predicted
+     probabilities) for the specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted outcomes drawn from a
+     distribution defined by the joint predicted probabilities.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio in the predicted
+     probabilities for given {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The bivariate probit function is part of the VGAM package by Thomas Yee.
+Please cite this model as:
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)}
+in the VGAM package.  Additional documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.
+\end{verse}
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/bprobit.pdf b/inst/doc/bprobit.pdf
new file mode 100644
index 0000000..6b6fa01
Binary files /dev/null and b/inst/doc/bprobit.pdf differ
diff --git a/inst/doc/bprobit.tex b/inst/doc/bprobit.tex
new file mode 100644
index 0000000..bcfd827
--- /dev/null
+++ b/inst/doc/bprobit.tex
@@ -0,0 +1,410 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bivariate Probit Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, VGAM}
+%\VignetteKeyWords{model,prpbit, logistic regression, dichotomous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt bprobit}: Bivariate Logistic Regression for Two
+Dichotomous Dependent Variables}\label{bprobit}
+
+Use the bivariate probit regression model if you have two binaryrun
+dependent variables $(Y_1, Y_2)$, and wish to model them jointly as a
+function of some explanatory variables.  Each pair of dependent
+variables $(Y_{i1}, Y_{i2})$ has four potential outcomes, $(Y_{i1}=1,
+Y_{i2}=1)$, $(Y_{i1}=1, Y_{i2}=0)$, $(Y_{i1}=0, Y_{i2}=1)$, and
+$(Y_{i1}=0, Y_{i2}=0)$.  The joint probability for each of these four
+outcomes is modeled with three systematic components: the marginal
+Pr$(Y_{i1} = 1)$ and Pr$(Y_{i2} = 1)$, and the correlation parameter
+$\rho$ for the two marginal distributions.  Each of these systematic
+components may be modeled as functions of (possibly different) sets of
+explanatory variables.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(list(mu1 = Y1 ~ X1 + X2, 
+                      mu2 = Y2 ~ X1 + X3,
+                      rho = ~ 1),
+                 model = "bprobit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Input Values}
+
+In every bivariate probit specification, there are three equations
+which correspond to each dependent variable ($Y_1$, $Y_2$), and the
+correlation parameter $\rho$.  Since the correlation parameter does
+not correspond to one of the dependent variables, the model estimates
+$\rho$ as a constant by default.  Hence, only two formulas (for
+$\mu_1$ and $\mu_2$) are required.  If the explanatory variables for
+$\mu_1$ and $\mu_2$ are the same and effects are estimated separately
+for each parameter, you may use the following short hand:  
+\begin{Schunk}
+\begin{Sinput}
+> fml <- list(cbind(Y1, Y2) ~ X1 + X2)
+\end{Sinput}
+\end{Schunk}
+which has the same meaning as:  
+\begin{Schunk}
+\begin{Sinput}
+> fml <- list(mu1 = Y1 ~ X1 + X2, mu2 = Y2 ~ X1 + X2, rho = ~1)
+\end{Sinput}
+\end{Schunk}
+You may use the function {\tt tag()} to constrain variables across
+equations.  The {\tt tag()} function takes a variable and a label for
+the effect parameter.  Below, the constrained effect of {\tt
+x3} in both equations is called the {\tt age} parameter:  
+\begin{Schunk}
+\begin{Sinput}
+> fml <- list(mu1 = y1 ~ x1 + tag(x3, "age"), mu2 = y2 ~ x2 + tag(x3, 
++     "age"))
+\end{Sinput}
+\end{Schunk}
+You may also constrain different variables across different equations
+to have the same effect.  
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+
+\item {Basic Example} \label{basic.bp}
+
+Load the data and estimate the model:  
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(cbind(import, export) ~ coop + cost + target, 
++     model = "bprobit", data = sanction)
+\end{Sinput}
+\end{Schunk}
+By default, {\tt zelig()} estimates two effect parameters
+for each explanatory variable in addition to the correlation coefficient;
+this formulation is parametrically independent (estimating
+unconstrained effects for each explanatory variable), but
+stochastically dependent because the models share a correlation parameter.
+\newline \newline Generate baseline values for the explanatory
+variables (with cost set to 1, net gain to sender) and alternative
+values (with cost set to 4, major loss to sender):
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out1, cost = 1)
+> x.high <- setx(z.out1, cost = 4)
+\end{Sinput}
+\end{Schunk}
+Simulate fitted values and first differences:  
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.low, x1 = x.high)
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/bprobit-BasicExamplePlot}
+\end{center}
+
+
+\item {Joint Estimation of a Model with Different Sets of Explanatory Variables}\label{sto.dep.probit}
+
+Using the sample data \texttt{sanction}, estimate the statistical model, 
+with {\tt import} a function of {\tt coop} in the first equation and 
+{\tt export} a function of {\tt cost} and {\tt target} in the second equation:
+\begin{Schunk}
+\begin{Sinput}
+> fml2 <- list(mu1 = import ~ coop, mu2 = export ~ cost + target)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(fml2, model = "bprobit", data = sanction)
+> summary(z.out2)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means:
+\begin{Schunk}
+\begin{Sinput}
+> x.out2 <- setx(z.out2)
+\end{Sinput}
+\end{Schunk}
+Simulate draws from the posterior distribution:
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out2, x = x.out2)
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/bprobit-JointEstimationPlot}
+\end{center}
+
+
+\item Joint Estimation of a Parametrically and Stochastically
+Dependent Model 
+\label{pdep.p}
+  
+Using the sample data \texttt{sanction}.     
+The bivariate model is parametrically dependent if $Y_1$ and $Y_2$ share
+some or all explanatory variables, {\it and} the effects of the shared
+explanatory variables are jointly estimated.  For example,
+\begin{Schunk}
+\begin{Sinput}
+> fml3 <- list(mu1 = import ~ tag(coop, "coop") + tag(cost, "cost") + 
++     tag(target, "target"), mu2 = export ~ tag(coop, "coop") + 
++     tag(cost, "cost") + tag(target, "target"))
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> z.out3 <- zelig(fml3, model = "bprobit", data = sanction)
+> summary(z.out3)
+\end{Sinput}
+\end{Schunk}
+
+Note that this model only returns one parameter estimate for each of
+{\tt coop}, {\tt cost}, and {\tt target}.  Contrast this to
+Example~\ref{basic.bp} which returns two parameter estimates for each
+of the explanatory variables.  \newline \newline Set values for the
+explanatory variables:
+\begin{Schunk}
+\begin{Sinput}
+> x.out3 <- setx(z.out3, cost = 1:4)
+\end{Sinput}
+\end{Schunk}
+Draw simulated expected values:  
+\begin{Schunk}
+\begin{Sinput}
+> s.out3 <- sim(z.out3, x = x.out3)
+> summary(s.out3)
+\end{Sinput}
+\end{Schunk}
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+For each observation, define two binary dependent variables, $Y_1$ and
+$Y_2$, each of which take the value of either 0 or 1 (in the
+following, we suppress the observation index $i$).  We model the joint
+outcome $(Y_1$, $Y_2)$ using two marginal probabilities for each
+dependent variable, and the correlation parameter, which describes how
+the two dependent variables are related. 
+%Define $Y_{rs}$ such that it
+%is equal to 1 when $Y_1=r$ and $Y_2=s$ and is 0 otherwise where $r$
+%and $s$ take a value of either 0 or 1. Then, the model is defined as
+%follows,
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by two latent (unobserved)
+  continuous variables which follow the bivariate Normal distribution:
+\begin{eqnarray*}
+  \left ( \begin{array}{c} 
+      Y_1^* \\
+      Y_2^* 
+    \end{array}
+  \right ) &\sim &  
+  N_2 \left \{ \left ( 
+      \begin{array}{c}
+        \mu_1 \\ \mu_2
+      \end{array} \right ), \left( \begin{array}{cc}
+                 1 & \rho \\
+                 \rho & 1 
+                 \end{array} \right) \right\},
+\end{eqnarray*}
+where $\mu_j$ is a mean for $Y_j^*$ and $\rho$ is a scalar correlation
+parameter. The following observation mechanism links the observed
+dependent variables, $Y_j$, with these latent variables
+\begin{eqnarray*}
+Y_j & = & \left \{ \begin{array}{cc}
+                   1 & {\rm if} \; Y_j^* \ge 0, \\
+                   0 & {\rm otherwise.}
+                   \end{array} 
+                   \right.
+\end{eqnarray*}
+
+%Alternatively, the stochastic component for the observed dependent
+%variables can be written as
+%\begin{eqnarray*}
+%  Y_{11} &\sim& \textrm{Bernoulli}(y_{11} \mid \pi_{11}) \\
+%  Y_{10} &\sim& \textrm{Bernoulli}(y_{10} \mid \pi_{10}) \\
+% Y_{01} &\sim& \textrm{Bernoulli}(y_{01} \mid \pi_{01})
+%\end{eqnarray*}
+%where $\pi_{rs}=\Pr(Y_1=r, Y_2=s)$ is the joint probability, and
+%$\pi_{00}=1-\pi_{11}-\pi_{10}-\pi_{01}$. Each of these joint
+%probabilities is modeled using the bivariate normal cumulative
+%distribution function.
+
+\item The \emph{systemic components} for each observation are 
+  \begin{eqnarray*}
+    \mu_j & = & x_{j} \beta_j \quad {\rm for} \quad j=1,2, \\
+    \rho & = & \frac{\exp(x_3 \beta_3) - 1}{\exp(x_3 \beta_3) + 1}.
+\end{eqnarray*}
+
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+For $n$ simulations, expected values form an $n \times 4$
+matrix.  
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the binomial probit model
+  are the predicted joint probabilities. Simulations of $\beta_1$,
+  $\beta_2$, and $\beta_3$ (drawn form their sampling distributions)
+  are substituted into the systematic components, to find simulations
+  of the predicted joint probabilities $\pi_{rs}=\Pr(Y_1=r, Y_2=s)$:
+\begin{eqnarray*}
+\pi_{11} &= \Pr(Y_1^* \geq 0 , Y_2^* \geq 0) &= \int_0^{\infty}
+\int_0^{\infty} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^* \\
+\pi_{10} &= \Pr(Y_1^* \geq 0 , Y_2^* < 0)  &= \int_0^{\infty}
+\int_{-\infty}^{0} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^*\\
+\pi_{01} &= \Pr(Y_1^* < 0 , Y_2^* \geq 0)  &= \int_{-\infty}^{0}
+\int_0^{\infty} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^*\\
+\pi_{11} &= \Pr(Y_1^* < 0 , Y_2^* < 0)  &= \int_{-\infty}^{0}
+\int_{-\infty}^{0} \phi_2 (\mu_1, \mu_2, \rho) \, dY_2^*\, dY_1^*\\
+\end{eqnarray*}
+where $r$ and $s$ may take a value of either 0 or 1, $\phi_2$ is the
+bivariate Normal density.
+  
+\item The predicted values ({\tt qi\$pr}) are draws from the
+  multinomial distribution given the expected joint probabilities.  
+
+\item The first difference ({\tt qi\$fd}) in each of the predicted joint
+  probabilities are given by
+  $$\textrm{FD}_{rs} = \Pr(Y_1=r, Y_2=s \mid x_1)-\Pr(Y_1=r, Y_2=s
+  \mid x).$$
+  
+\item The risk ratio ({\tt qi\$rr}) for each of the predicted joint
+  probabilities are given by
+\begin{equation*}
+\textrm{RR}_{rs} = \frac{\Pr(Y_1=r, Y_2=s \mid x_1)}{\Pr(Y_1=r, Y_2=s \mid x)}.
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      E[Y_{ij}(t_i=0)] \right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_{ij}(t_i=0)]$,
+    the counterfactual expected value of $Y_{ij}$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_{ij}(t_i=1) -
+      \widehat{Y_{ij}(t_i=0)}\right\} \textrm{ for } j = 1,2,
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating
+    $\widehat{Y_{ij}(t_i=0)}$, the counterfactual predicted value of
+    $Y_{ij}$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\, x,
+  model = "bprobit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+obtain a default summary of information through
+\texttt{summary(z.out)}.  Other elements available through the {\tt
+  \$} operator are listed below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times 4$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times 3$ matrix of the linear
+     predictors $x_j \beta_j$.
+   \item {\tt residuals}: an $n \times 3$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times 2$ matrix of the dependent variables.  
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times 3$ matrix of the Pearson residuals.  
+\end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as arrays indexed by simulation
+  $\times$ quantity $\times$ {\tt x}-observation (for more than one
+  {\tt x}-observation; otherwise the quantities are matrices).  Available quantities
+  are:  
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values (joint predicted
+     probabilities) for the specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted outcomes drawn from a
+     distribution defined by the joint predicted probabilities.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio in the predicted
+     probabilities for given {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The bivariate probit function is part of the VGAM package by Thomas Yee.
+Please cite this model as:
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)}
+in the VGAM package.  Additional documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.
+\end{verse}
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/coda_diag.tex b/inst/doc/coda_diag.tex
new file mode 100644
index 0000000..c915940
--- /dev/null
+++ b/inst/doc/coda_diag.tex
@@ -0,0 +1,32 @@
+\subsubsection{Convergence}
+
+Users should verify that the Markov Chain converges to its stationary 
+distribution.  After running the \texttt{zelig()} function but before 
+performing \texttt{setx()}, users may conduct the following 
+convergence diagnostics tests:
+
+\begin{itemize}
+\item \texttt{geweke.diag(z.out\$coefficients)}: The Geweke diagnostic tests
+the null hypothesis that the Markov chain is in the stationary distribution
+and produces z-statistics for each estimated parameter. 
+ 
+\item \texttt{heidel.diag(z.out\$coefficients)}: The Heidelberger-Welch
+diagnostic first tests the null hypothesis that the Markov Chain is in the
+stationary distribution and produces p-values for each estimated parameter. 
+ Calling \texttt{heidel.diag()} also produces
+output that indicates whether the mean of a marginal posterior distribution
+can be estimated with sufficient precision, assuming that the Markov Chain is
+in the stationary distribution.
+
+\item \texttt{raftery.diag(z.out\$coefficients)}: The Raftery diagnostic
+indicates how long the Markov Chain should run before considering draws from
+the marginal posterior distributions sufficiently representative of the
+stationary distribution.
+\end{itemize}
+
+\noindent If there is evidence of non-convergence, adjust the values 
+for \texttt{burnin} and \texttt{mcmc} and rerun \texttt{zelig()}.
+
+Advanced users may wish to refer to \texttt{help(geweke.diag)}, 
+\texttt{help(heidel.diag)}, and \texttt{help(raftery.diag)} for more 
+information about these diagnostics. 
diff --git a/inst/doc/commands/model.end.aux b/inst/doc/commands/model.end.aux
index 7adc70e..de40dad 100644
--- a/inst/doc/commands/model.end.aux
+++ b/inst/doc/commands/model.end.aux
@@ -1,14 +1,14 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.2}{\tt  model.end}: Cleaning up after optimization}{313}{section.13.2}}
-\newlabel{model.end}{{13.2}{313}{{\tt model.end}: Cleaning up after optimization\relax }{section.13.2}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{313}{section*.401}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{313}{section*.402}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{313}{section*.403}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{313}{section*.404}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{313}{section*.405}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{313}{section*.406}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.2}{\tt  model.end}: Cleaning up after optimization}{339}{section.13.2}}
+\newlabel{model.end}{{13.2}{339}{{\tt model.end}: Cleaning up after optimization\relax }{section.13.2}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{339}{section*.406}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{339}{section*.407}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{339}{section*.408}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{339}{section*.409}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{339}{section*.410}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{339}{section*.411}}
 \@setckpt{commands/model.end}{
-\setcounter{page}{314}
+\setcounter{page}{340}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -25,12 +25,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/model.frame.multiple.aux b/inst/doc/commands/model.frame.multiple.aux
index 09ae72a..e54a32b 100644
--- a/inst/doc/commands/model.frame.multiple.aux
+++ b/inst/doc/commands/model.frame.multiple.aux
@@ -1,15 +1,15 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.3}{\tt  model.frame.multiple}: Extracting the ``environment'' of a model formula}{314}{section.13.3}}
-\newlabel{model.frame.multiple}{{13.3}{314}{{\tt model.frame.multiple}: Extracting the ``environment'' of a model formula\relax }{section.13.3}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{314}{section*.407}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{314}{section*.408}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{314}{section*.409}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{314}{section*.410}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{314}{section*.411}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{315}{section*.412}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{315}{section*.413}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.3}{\tt  model.frame.multiple}: Extracting the ``environment'' of a model formula}{340}{section.13.3}}
+\newlabel{model.frame.multiple}{{13.3}{340}{{\tt model.frame.multiple}: Extracting the ``environment'' of a model formula\relax }{section.13.3}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{340}{section*.412}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{340}{section*.413}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{340}{section*.414}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{340}{section*.415}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{340}{section*.416}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{341}{section*.417}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{341}{section*.418}}
 \@setckpt{commands/model.frame.multiple}{
-\setcounter{page}{316}
+\setcounter{page}{342}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -26,12 +26,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/model.matrix.multiple.aux b/inst/doc/commands/model.matrix.multiple.aux
index 3afed3b..c56268e 100644
--- a/inst/doc/commands/model.matrix.multiple.aux
+++ b/inst/doc/commands/model.matrix.multiple.aux
@@ -1,15 +1,15 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.4}{\tt  model.matrix.multiple}: Design matrix for multivariate models}{316}{section.13.4}}
-\newlabel{model.matrix.multiple}{{13.4}{316}{{\tt model.matrix.multiple}: Design matrix for multivariate models\relax }{section.13.4}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{316}{section*.414}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{316}{section*.415}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{316}{section*.416}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{316}{section*.417}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{317}{section*.418}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{317}{section*.419}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{317}{section*.420}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.4}{\tt  model.matrix.multiple}: Design matrix for multivariate models}{342}{section.13.4}}
+\newlabel{model.matrix.multiple}{{13.4}{342}{{\tt model.matrix.multiple}: Design matrix for multivariate models\relax }{section.13.4}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{342}{section*.419}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{342}{section*.420}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{342}{section*.421}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{342}{section*.422}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{343}{section*.423}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{343}{section*.424}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{343}{section*.425}}
 \@setckpt{commands/model.matrix.multiple}{
-\setcounter{page}{318}
+\setcounter{page}{344}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -26,12 +26,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/network.aux b/inst/doc/commands/network.aux
deleted file mode 100644
index f2609fb..0000000
--- a/inst/doc/commands/network.aux
+++ /dev/null
@@ -1,41 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {subsection}{\numberline {11.2.1} \texttt  {network}: Format Individual Matricies into a Data Frame for Social Network Analysis }{116}{subsection.11.2.1}}
-\newlabel{network}{{11.2.1}{116}{ \texttt {network}: Format Individual Matricies into a Data Frame for Social Network Analysis \relax }{subsection.11.2.1}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{116}{section*.101}}
-\@writefile{toc}{\contentsline {subsubsection}{Usage}{116}{section*.102}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{116}{section*.103}}
-\@writefile{toc}{\contentsline {subsubsection}{Details}{116}{section*.104}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{116}{section*.105}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{116}{section*.106}}
-\@setckpt{commands/network}{
-\setcounter{page}{117}
-\setcounter{equation}{0}
-\setcounter{enumi}{0}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{2}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{11}
-\setcounter{section}{2}
-\setcounter{subsection}{1}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/parse.formula.aux b/inst/doc/commands/parse.formula.aux
index ad7b7e1..f85e782 100644
--- a/inst/doc/commands/parse.formula.aux
+++ b/inst/doc/commands/parse.formula.aux
@@ -1,17 +1,17 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.5}{\tt  parse.formula}: Parsing the inputs}{318}{section.13.5}}
-\newlabel{parse.formula}{{13.5}{318}{{\tt parse.formula}: Parsing the inputs\relax }{section.13.5}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{318}{section*.421}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{318}{section*.422}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{318}{section*.423}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{318}{section*.424}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{318}{section*.425}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{318}{section*.426}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{319}{section*.427}}
-\@writefile{lot}{\contentsline {table}{\numberline {13.1}{\ignorespaces Examples of acceptable short-hand for user-specified formulas, using bivariate probit as an example}}{320}{table.13.1}}
-\newlabel{good.formulas}{{13.1}{320}{Contributors\relax }{table.13.1}{}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.5}{\tt  parse.formula}: Parsing the inputs}{344}{section.13.5}}
+\newlabel{parse.formula}{{13.5}{344}{{\tt parse.formula}: Parsing the inputs\relax }{section.13.5}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{344}{section*.426}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{344}{section*.427}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{344}{section*.428}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{344}{section*.429}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{344}{section*.430}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{344}{section*.431}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{345}{section*.432}}
+\@writefile{lot}{\contentsline {table}{\numberline {13.1}{\ignorespaces Examples of acceptable short-hand for user-specified formulas, using bivariate probit as an example}}{346}{table.13.1}}
+\newlabel{good.formulas}{{13.1}{346}{Contributors\relax }{table.13.1}{}}
 \@setckpt{commands/parse.formula}{
-\setcounter{page}{321}
+\setcounter{page}{347}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -28,12 +28,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{1}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/parse.par.aux b/inst/doc/commands/parse.par.aux
index c572c1b..a11ebdb 100644
--- a/inst/doc/commands/parse.par.aux
+++ b/inst/doc/commands/parse.par.aux
@@ -1,15 +1,15 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.6}{\tt  parse.par}: Select and reshape parameter vectors}{321}{section.13.6}}
-\newlabel{parse.par}{{13.6}{321}{{\tt parse.par}: Select and reshape parameter vectors\relax }{section.13.6}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{321}{section*.428}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{321}{section*.429}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{321}{section*.430}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{321}{section*.431}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{321}{section*.432}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{322}{section*.433}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{322}{section*.434}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.6}{\tt  parse.par}: Select and reshape parameter vectors}{347}{section.13.6}}
+\newlabel{parse.par}{{13.6}{347}{{\tt parse.par}: Select and reshape parameter vectors\relax }{section.13.6}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{347}{section*.433}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{347}{section*.434}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{347}{section*.435}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{347}{section*.436}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{347}{section*.437}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{348}{section*.438}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{348}{section*.439}}
 \@setckpt{commands/parse.par}{
-\setcounter{page}{323}
+\setcounter{page}{349}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -26,12 +26,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{1}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/plot.ci.aux b/inst/doc/commands/plot.ci.aux
deleted file mode 100644
index 135fa6c..0000000
--- a/inst/doc/commands/plot.ci.aux
+++ /dev/null
@@ -1,43 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {11.3}{\tt  plot.ci}: Plotting Vertical confidence Intervals}{117}{section.11.3}}
-\newlabel{plot.ci}{{11.3}{117}{{\tt plot.ci}: Plotting Vertical confidence Intervals\relax }{section.11.3}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{117}{section*.107}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{117}{section*.108}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{117}{section*.109}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{117}{section*.110}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{117}{section*.111}}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{118}{section*.112}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{118}{section*.113}}
-\@setckpt{commands/plot.ci}{
-\setcounter{page}{119}
-\setcounter{equation}{0}
-\setcounter{enumi}{0}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{2}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{11}
-\setcounter{section}{3}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/plot.zelig.aux b/inst/doc/commands/plot.zelig.aux
deleted file mode 100644
index e1414cc..0000000
--- a/inst/doc/commands/plot.zelig.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {10.5}{\tt  plot}: Graphing Quantities of Interest}{102}{section.10.5}}
-\newlabel{ss:plot.zelig}{{10.5}{102}{{\tt plot}: Graphing Quantities of Interest\relax }{section.10.5}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{102}{section*.63}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{102}{section*.64}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{102}{section*.65}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{102}{section*.66}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{102}{section*.67}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{103}{section*.68}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{103}{section*.69}}
-\@setckpt{commands/plot.zelig}{
-\setcounter{page}{104}
-\setcounter{equation}{0}
-\setcounter{enumi}{4}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{10}
-\setcounter{section}{5}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{8}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/print.aux b/inst/doc/commands/print.aux
index 097000b..cc5c7ae 100644
--- a/inst/doc/commands/print.aux
+++ b/inst/doc/commands/print.aux
@@ -1,14 +1,14 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {10.6}{\tt  print}: Printing Quantities of Interest}{104}{section.10.6}}
-\newlabel{ss:print}{{10.6}{104}{{\tt print}: Printing Quantities of Interest\relax }{section.10.6}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{104}{section*.70}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{104}{section*.71}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{104}{section*.72}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{104}{section*.73}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{104}{section*.74}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{104}{section*.75}}
+\@writefile{toc}{\contentsline {section}{\numberline {10.6}{\tt  print}: Printing Quantities of Interest}{103}{section.10.6}}
+\newlabel{ss:print}{{10.6}{103}{{\tt print}: Printing Quantities of Interest\relax }{section.10.6}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{103}{section*.65}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{103}{section*.66}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{103}{section*.67}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{103}{section*.68}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{103}{section*.69}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{103}{section*.70}}
 \@setckpt{commands/print}{
-\setcounter{page}{105}
+\setcounter{page}{104}
 \setcounter{equation}{0}
 \setcounter{enumi}{4}
 \setcounter{enumii}{3}
@@ -25,6 +25,9 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
 \setcounter{NAT at ctr}{0}
 \setcounter{parentequation}{0}
 \setcounter{Item}{216}
diff --git a/inst/doc/commands/put.start.aux b/inst/doc/commands/put.start.aux
index 8702469..6e5b3e1 100644
--- a/inst/doc/commands/put.start.aux
+++ b/inst/doc/commands/put.start.aux
@@ -1,14 +1,14 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.7}{\tt  put.start}: Set specific starting values for certain parameters}{323}{section.13.7}}
-\newlabel{put.start}{{13.7}{323}{{\tt put.start}: Set specific starting values for certain parameters\relax }{section.13.7}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{323}{section*.435}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{323}{section*.436}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{323}{section*.437}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{323}{section*.438}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{323}{section*.439}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{323}{section*.440}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.7}{\tt  put.start}: Set specific starting values for certain parameters}{349}{section.13.7}}
+\newlabel{put.start}{{13.7}{349}{{\tt put.start}: Set specific starting values for certain parameters\relax }{section.13.7}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{349}{section*.440}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{349}{section*.441}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{349}{section*.442}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{349}{section*.443}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{349}{section*.444}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{349}{section*.445}}
 \@setckpt{commands/put.start}{
-\setcounter{page}{324}
+\setcounter{page}{350}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -25,12 +25,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{1}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/replicate.aux b/inst/doc/commands/replicate.aux
deleted file mode 100644
index 28ffed5..0000000
--- a/inst/doc/commands/replicate.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {10.7}{\tt  repl}: Replicating Analyses}{105}{section.10.7}}
-\newlabel{ss:replicate}{{10.7}{105}{{\tt repl}: Replicating Analyses\relax }{section.10.7}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{105}{section*.76}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{105}{section*.77}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{105}{section*.78}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{105}{section*.79}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{106}{section*.80}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{106}{section*.81}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{106}{section*.82}}
-\@setckpt{commands/replicate}{
-\setcounter{page}{107}
-\setcounter{equation}{0}
-\setcounter{enumi}{4}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{10}
-\setcounter{section}{7}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{8}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/rocplot.aux b/inst/doc/commands/rocplot.aux
deleted file mode 100644
index 3a04d9f..0000000
--- a/inst/doc/commands/rocplot.aux
+++ /dev/null
@@ -1,43 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {11.4}{\tt  rocplot}: Receiver Operator Characteristic Plots}{119}{section.11.4}}
-\newlabel{ss:rocplot}{{11.4}{119}{{\tt rocplot}: Receiver Operator Characteristic Plots\relax }{section.11.4}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{119}{section*.114}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{119}{section*.115}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{119}{section*.116}}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{120}{section*.117}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{120}{section*.118}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{120}{section*.119}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{120}{section*.120}}
-\@setckpt{commands/rocplot}{
-\setcounter{page}{121}
-\setcounter{equation}{0}
-\setcounter{enumi}{0}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{2}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{11}
-\setcounter{section}{4}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/set.start.aux b/inst/doc/commands/set.start.aux
index 4a691e2..4f381f8 100644
--- a/inst/doc/commands/set.start.aux
+++ b/inst/doc/commands/set.start.aux
@@ -1,15 +1,15 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.8}{\tt  set.start}: Set starting values for all parameters}{324}{section.13.8}}
-\newlabel{set.start}{{13.8}{324}{{\tt set.start}: Set starting values for all parameters\relax }{section.13.8}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{324}{section*.441}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{324}{section*.442}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{324}{section*.443}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{324}{section*.444}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{324}{section*.445}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{324}{section*.446}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{324}{section*.447}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.8}{\tt  set.start}: Set starting values for all parameters}{350}{section.13.8}}
+\newlabel{set.start}{{13.8}{350}{{\tt set.start}: Set starting values for all parameters\relax }{section.13.8}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{350}{section*.446}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{350}{section*.447}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{350}{section*.448}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{350}{section*.449}}
+\@writefile{toc}{\contentsline {subsubsection}{Example}{350}{section*.450}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{350}{section*.451}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{350}{section*.452}}
 \@setckpt{commands/set.start}{
-\setcounter{page}{325}
+\setcounter{page}{351}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -26,12 +26,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{1}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/sim.aux b/inst/doc/commands/sim.aux
deleted file mode 100644
index ce3056f..0000000
--- a/inst/doc/commands/sim.aux
+++ /dev/null
@@ -1,41 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {10.3}{\tt  sim}: Simulating Quantities of Interest}{96}{section.10.3}}
-\newlabel{ss:sim}{{10.3}{96}{{\tt sim}: Simulating Quantities of Interest\relax }{section.10.3}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{96}{section*.49}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{96}{section*.50}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{96}{section*.51}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{97}{section*.52}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{98}{section*.53}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{98}{section*.54}}
-\@setckpt{commands/sim}{
-\setcounter{page}{99}
-\setcounter{equation}{0}
-\setcounter{enumi}{4}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{10}
-\setcounter{section}{3}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{8}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/summary.aux b/inst/doc/commands/summary.aux
deleted file mode 100644
index 954f7b3..0000000
--- a/inst/doc/commands/summary.aux
+++ /dev/null
@@ -1,43 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {10.4}{\tt  summary}: Summarizing Zelig Output}{99}{section.10.4}}
-\newlabel{ss:summary}{{10.4}{99}{{\tt summary}: Summarizing Zelig Output\relax }{section.10.4}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{99}{section*.55}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{99}{section*.56}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments for multiply-imputed {\tt  zelig()} output}{99}{section*.57}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments for subsetted {\tt  zelig()} output}{99}{section*.58}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments for {\tt  sim()} output}{100}{section*.59}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{100}{section*.60}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{100}{section*.61}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{101}{section*.62}}
-\@setckpt{commands/summary}{
-\setcounter{page}{102}
-\setcounter{equation}{0}
-\setcounter{enumi}{4}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{10}
-\setcounter{section}{4}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{8}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/tag.aux b/inst/doc/commands/tag.aux
index f42b95a..63eacb6 100644
--- a/inst/doc/commands/tag.aux
+++ b/inst/doc/commands/tag.aux
@@ -1,15 +1,15 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {13.9}{\tt  tag}: Constrain parameter effects across equations}{325}{section.13.9}}
-\newlabel{tag}{{13.9}{325}{{\tt tag}: Constrain parameter effects across equations\relax }{section.13.9}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{325}{section*.448}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{325}{section*.449}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{325}{section*.450}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{325}{section*.451}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{325}{section*.452}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{325}{section*.453}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{325}{section*.454}}
+\@writefile{toc}{\contentsline {section}{\numberline {13.9}{\tt  tag}: Constrain parameter effects across equations}{351}{section.13.9}}
+\newlabel{tag}{{13.9}{351}{{\tt tag}: Constrain parameter effects across equations\relax }{section.13.9}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{351}{section*.453}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{351}{section*.454}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{351}{section*.455}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{351}{section*.456}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{351}{section*.457}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{351}{section*.458}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{351}{section*.459}}
 \@setckpt{commands/tag}{
-\setcounter{page}{326}
+\setcounter{page}{352}
 \setcounter{equation}{0}
 \setcounter{enumi}{2}
 \setcounter{enumii}{3}
@@ -26,12 +26,15 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{1}
-\setcounter{NAT at ctr}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{1}
+\setcounter{NAT at ctr}{42}
 \setcounter{parentequation}{0}
 \setcounter{Item}{269}
 \setcounter{Hfootnote}{10}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{0}
+\setcounter{lchapter}{1}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
 \setcounter{lsubsubsection}{0}
diff --git a/inst/doc/commands/ternaryplot.aux b/inst/doc/commands/ternaryplot.aux
deleted file mode 100644
index 003a0d4..0000000
--- a/inst/doc/commands/ternaryplot.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {11.5}{\tt  ternaryplot}: Ternary Diagram for 3D Data}{121}{section.11.5}}
-\newlabel{ternaryplot}{{11.5}{121}{{\tt ternaryplot}: Ternary Diagram for 3D Data\relax }{section.11.5}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{121}{section*.121}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{121}{section*.122}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{121}{section*.123}}
-\citation{Friendly00}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{122}{section*.124}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{122}{section*.125}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{122}{section*.126}}
-\@setckpt{commands/ternaryplot}{
-\setcounter{page}{123}
-\setcounter{equation}{0}
-\setcounter{enumi}{0}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{2}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{11}
-\setcounter{section}{5}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commands/ternarypoints.aux b/inst/doc/commands/ternarypoints.aux
deleted file mode 100644
index 0928564..0000000
--- a/inst/doc/commands/ternarypoints.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {11.6}{\tt  ternarypoints}: Adding Points to Ternary Diagrams}{123}{section.11.6}}
-\newlabel{ternarypoints}{{11.6}{123}{{\tt ternarypoints}: Adding Points to Ternary Diagrams\relax }{section.11.6}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{123}{section*.127}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{123}{section*.128}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{123}{section*.129}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{123}{section*.130}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{123}{section*.131}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{123}{section*.132}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{123}{section*.133}}
-\@setckpt{commands/ternarypoints}{
-\setcounter{page}{124}
-\setcounter{equation}{0}
-\setcounter{enumi}{0}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{2}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{11}
-\setcounter{section}{6}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{216}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/commandsRd/CVS.tex b/inst/doc/commandsRd/CVS.tex
new file mode 100644
index 0000000..776df6c
--- /dev/null
+++ b/inst/doc/commandsRd/CVS.tex
@@ -0,0 +1,2 @@
+\section{{\tt }: }\label{ss:}
+
diff --git a/inst/doc/commandsRd/MatchIt.url.tex b/inst/doc/commandsRd/MatchIt.url.tex
new file mode 100644
index 0000000..34cd196
--- /dev/null
+++ b/inst/doc/commandsRd/MatchIt.url.tex
@@ -0,0 +1,6 @@
+\section{{\tt MatchIt.url}: Table of links for Zelig}\label{ss:MatchIt.url}
+\keyword{datasets}{MatchIt.url}
+\begin{Description}\relax
+Table of linds for \code{help.zelig} for the companion MatchIt package.
+\end{Description}
+
diff --git a/inst/doc/commandsRd/PErisk.tex b/inst/doc/commandsRd/PErisk.tex
new file mode 100644
index 0000000..e54e5f0
--- /dev/null
+++ b/inst/doc/commandsRd/PErisk.tex
@@ -0,0 +1,67 @@
+\section{{\tt PErisk}: Political Economic Risk Data from 62 Countries in 1987}\label{ss:PErisk}
+\keyword{datasets}{PErisk}
+\begin{Description}\relax
+Political Economic Risk Data from 62 Countries in 1987.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(PErisk)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A data frame with 62 observations on the following 6 variables.
+All data points are from 1987. See Quinn (2004) for more
+details. 
+
+country: a factor with levels 'Argentina' 'Australia' 'Austria'
+'Bangladesh' 'Belgium' 'Bolivia' 'Botswana' 'Brazil' 'Burma'
+'Cameroon' 'Canada' 'Chile' 'Colombia' 'Congo-Kinshasa'
+'Costa Rica' 'Cote d'Ivoire' 'Denmark' 'Dominican Republic'
+'Ecuador' 'Finland' 'Gambia, The' 'Ghana' 'Greece' 'Hungary'
+'India' 'Indonesia' 'Iran' 'Ireland' 'Israel' 'Italy' 'Japan'
+'Kenya' 'Korea, South' 'Malawi' 'Malaysia' 'Mexico' 'Morocco'
+'New Zealand' 'Nigeria' 'Norway' 'Papua New Guinea'
+'Paraguay' 'Philippines' 'Poland' 'Portugal' 'Sierra Leone'
+'Singapore' 'South Africa' 'Spain' 'Sri Lanka' 'Sweden'
+'Switzerland' 'Syria' 'Thailand' 'Togo' 'Tunisia' 'Turkey'
+'United Kingdom' 'Uruguay' 'Venezuela' 'Zambia' 'Zimbabwe'
+
+courts: an ordered factor with levels '0' < '1'.'courts' is an
+indicator of whether the country in question is judged to
+have an independent judiciary. From Henisz (2002).
+
+barb2: a numeric vector giving the natural log of the black market
+premium in each country. The black market premium is coded as
+the black market exchange rate (local currency per dollar)
+divided by the official exchange  rate minus 1. From
+Marshall, Gurr, and Harff (2002). 
+
+prsexp2: an ordered factor with levels '0' < '1' < '2' < '3' < '4'
+< '5', giving the lack of expropriation risk. From Marshall,
+Gurr, and Harff (2002).
+
+prscorr2: an ordered factor with levels '0' < '1' < '2' < '3' < '4'
+< '5', measuring the lack of corruption. From Marshall, Gurr,
+and Harff (2002).
+
+gdpw2: a numeric vector giving the natural log of real GDP per
+worker in 1985 international prices. From Alvarez et al.
+(1999).
+\end{Format}
+\begin{Source}\relax
+Mike Alvarez, Jose Antonio Cheibub, Fernando Limongi, and Adam
+Przeworski. 1999. ``ACLP Political and Economic Database.'' <URL:
+http://www.ssc.upenn.edu/~cheibub/data/>.
+
+Witold J. Henisz. 2002. ``The Political Constraint Index (POLCON)
+Dataset.'' \ <URL:
+http://www-management.wharton.upenn.edu/henisz/POLCON/ContactInfo.
+html>.
+
+Monty G. Marshall, Ted Robert Gurr, and Barbara Harff. 2002.
+``State Failure Task Force Problem Set.'' <URL:
+http://www.cidcm.umd.edu/inscr/stfail/index.htm>.
+\end{Source}
+\begin{References}\relax
+Kevin M. Quinn. 2004. ``Bayesian Factor Analysis for Mixed Ordinal
+and Continuous Response.'' \emph{Political Analyis}. Vol. 12, pp.338--353.
+\end{References}
+
diff --git a/inst/doc/commandsRd/SupremeCourt.tex b/inst/doc/commandsRd/SupremeCourt.tex
new file mode 100644
index 0000000..fa043da
--- /dev/null
+++ b/inst/doc/commandsRd/SupremeCourt.tex
@@ -0,0 +1,26 @@
+\section{{\tt SupremeCourt}: U.S. Supreme Court Vote Matrix}\label{ss:SupremeCourt}
+\keyword{datasets}{SupremeCourt}
+\begin{Description}\relax
+This dataframe contains a matrix votes cast by U.S. Supreme Court
+justices in all cases in the 2000 term.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(SupremeCourt)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+The dataframe has contains data for justices Rehnquist, Stevens,
+O'Connor, Scalia, Kennedy, Souter, Thomas, Ginsburg, and Breyer
+for the 2000 term of the U.S. Supreme Court.  It contains data
+from 43 non-unanimous cases. The votes are coded liberal (1) and
+conservative (0) using the protocol of Spaeth (2003).   The unit
+of analysis is the case citation (ANALU=0).  We are concerned with
+formally decided cases issued with written opinions, after full
+oral argument and cases decided by an equally divided vote
+(DECTYPE=1,5,6,7).
+\end{Format}
+\begin{Source}\relax
+Harold J. Spaeth (2005). ``Original United States Supreme Court
+Database:  1953-2004 Terms.'' 
+<URL:http://www.as.uky.edu/polisci/ulmerproject/sctdata.htm>.
+\end{Source}
+
diff --git a/inst/doc/commandsRd/Weimar.tex b/inst/doc/commandsRd/Weimar.tex
new file mode 100644
index 0000000..2768278
--- /dev/null
+++ b/inst/doc/commandsRd/Weimar.tex
@@ -0,0 +1,26 @@
+\section{{\tt Weimar}: 1932 Weimar election data}\label{ss:Weimar}
+\keyword{datasets}{Weimar}
+\begin{Description}\relax
+This data set contains election results for 10 kreise (equivalent to precincts) from the 1932 Weimar (German) election.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(Weimar)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 11 variables and 10 observations.  The variables are {
+{Nazi}{Number of votes for the Nazi party}
+{Government}{Number of votes for the Government}
+{Communists}{Number of votes for the Communist party}
+{FarRight}{Number of votes for far right parties}
+{Other}{Number of votes for other parties, and non-voters}
+{shareunemployed}{Proportion unemployed}
+{shareblue}{Proportion working class}
+{sharewhite}{Proportion white-collar workers}
+{sharedomestic}{Proportion domestic servants}
+{shareprotestants}{Proportion Protestant} 
+}
+\end{Format}
+\begin{Source}\relax
+ICPSR
+\end{Source}
+
diff --git a/inst/doc/commandsRd/Zelig.tex b/inst/doc/commandsRd/Zelig.tex
new file mode 100644
index 0000000..70e3e5c
--- /dev/null
+++ b/inst/doc/commandsRd/Zelig.tex
@@ -0,0 +1,62 @@
+\section{{\tt zelig}: Estimating a Statistical Model}\label{ss:zelig}
+\aliasA{Zelig}{zelig}{Zelig}
+\keyword{file}{zelig}
+\begin{Description}\relax
+The \code{zelig} command estimates a variety of statistical
+models.  Use \code{zelig} output with \code{setx} and \code{sim} to compute
+quantities of interest, such as predicted probabilities, expected values, and
+first differences, along with the associated measures of uncertainty
+(standard errors and confidence intervals).
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+z.out <- zelig(formula, model, data, by, ...) 
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{formula}] a symbolic representation of the model to be
+estimated, in the form \code{y \textasciitilde{}\\, x1 + x2}, where \code{y} is the
+dependent variable and \code{x1} and \code{x2} are the explanatory
+variables, and \code{y}, \code{x1}, and \code{x2} are contained in the
+same dataset.  (You may include more than two explanatory variables,
+of course.)  The \code{+} symbol means ``inclusion'' not
+``addition.''  You may also include interaction terms and main
+effects in the form \code{x1*x2} without computing them in prior
+steps; \code{I(x1*x2)} to include only the interaction term and
+exclude the main effects; and quadratic terms in the form
+\code{I(x1\textasciicircum{}2)}.  
+\item[\code{model}] the name of a statistical model, enclosed in \code{""}.
+Type \code{help.zelig("models")} to see a list of currently supported
+models.  
+\item[\code{data}] the name of a data frame containing the variables
+referenced in the formula, or a list of multiply imputed data frames
+each having the same variable names and row numbers (created by \code{mi}). 
+\item[\code{by}] a factor variable contained in \code{data}.  Zelig will subset
+the data frame based on the levels in the \code{by} variable, and
+estimate a model for each subset.  This a particularly powerful option
+which will allow you to save a considerable amount of effort.  For
+example, to run the same model on all fifty states, you could type:
+\code{z.out <- zelig(y \textasciitilde{} x1 + x2, data = mydata, model = "ls", by = "state")}
+You may also use \code{by} to run models using MatchIt subclass.  
+\item[\code{...}] additional arguments passed to \code{zelig},
+depending on the model to be estimated. 
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+Depending on the class of model selected, \code{zelig} will return
+an object with elements including \code{coefficients}, \code{residuals},
+and \code{formula} which may be summarized using
+\code{summary(z.out)} or individually extracted using, for example,
+\code{z.out\$coefficients}.  See the specific models listed above
+for additional output values, or simply type \code{names(z.out)}.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual is available at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/Zelig.url.tex b/inst/doc/commandsRd/Zelig.url.tex
new file mode 100644
index 0000000..b4beedf
--- /dev/null
+++ b/inst/doc/commandsRd/Zelig.url.tex
@@ -0,0 +1,6 @@
+\section{{\tt Zelig.url}: Table of links for Zelig}\label{ss:Zelig.url}
+\keyword{datasets}{Zelig.url}
+\begin{Description}\relax
+Table of linds for \code{help.zelig} for the core Zelig package.
+\end{Description}
+
diff --git a/inst/doc/commandsRd/approval.tex b/inst/doc/commandsRd/approval.tex
new file mode 100644
index 0000000..a4caeb3
--- /dev/null
+++ b/inst/doc/commandsRd/approval.tex
@@ -0,0 +1,20 @@
+\section{{\tt approval}: U.S. Presidential Approval Data}\label{ss:approval}
+\keyword{datasets}{approval}
+\begin{Description}\relax
+Monthy public opinion data for 2001-2006.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(approval)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 8 variables ("month", "year", "approve", 
+"disapprove", "unsure", "sept.oct.2001", "iraq.war", and "avg.price")
+and 65 observations.
+\end{Format}
+\begin{Source}\relax
+ICPSR
+\end{Source}
+\begin{References}\relax
+Stuff here
+\end{References}
+
diff --git a/inst/doc/commandsRd/coalition.tex b/inst/doc/commandsRd/coalition.tex
new file mode 100644
index 0000000..4cfc6d6
--- /dev/null
+++ b/inst/doc/commandsRd/coalition.tex
@@ -0,0 +1,31 @@
+\section{{\tt coalition}: Coalition Dissolution in Parliamentary Democracies}\label{ss:coalition}
+\keyword{datasets}{coalition}
+\begin{Description}\relax
+This data set contains survival data on government coalitions in
+parliamentary democracies (Belgium, Canada, Denmark, Finland, France,
+Iceland, Ireland, Israel, Italy, Netherlands, Norway, Portugal, Spain,
+Sweden, and the United Kingdom) for the period 1945-1987.  For
+parsimony, country indicator variables are omitted in the sample data.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(coalition)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 7 variables ("duration", "ciep12", "invest",
+"fract", "polar", "numst2", "crisis") and 314 observations.  For
+variable descriptions, please refer to King, Alt, Burns and Laver
+(1990).
+\end{Format}
+\begin{Source}\relax
+ICPSR
+\end{Source}
+\begin{References}\relax
+King, Gary, James E. Alt, Nancy Elizabeth Burns and Michael Laver (1990).
+``A Unified Model  of Cabinet Dissolution in Parliamentary
+Democracies,'' \emph{American Journal of Political Science}, vol. 34,
+no. 3, pp. 846-870.  
+
+Gary King, James E. Alt, Nancy Burns, and Michael Laver.  ICPSR
+Publication Related Archive, 1115.
+\end{References}
+
diff --git a/inst/doc/commandsRd/current.packages.tex b/inst/doc/commandsRd/current.packages.tex
new file mode 100644
index 0000000..47b8fd3
--- /dev/null
+++ b/inst/doc/commandsRd/current.packages.tex
@@ -0,0 +1,35 @@
+\section{{\tt current.packages}: Find all packages in a dependency chain}\label{ss:current.packages}
+\keyword{file}{current.packages}
+\begin{Description}\relax
+Use \code{current.packages} to find all the packages suggested or 
+required by a given package, and the currently installed version number 
+for each.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+current.packages(package)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{package}] a character string corresponding to the name of an 
+installed package
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+A matrix containing the current version number of the packages 
+suggested or required by \code{package}.
+\end{Value}
+\begin{Author}\relax
+Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{packageDescription}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+## Not run: 
+current.packages("Zelig")
+## End(Not run)\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/dims.tex b/inst/doc/commandsRd/dims.tex
new file mode 100644
index 0000000..67acdd9
--- /dev/null
+++ b/inst/doc/commandsRd/dims.tex
@@ -0,0 +1,37 @@
+\section{{\tt dims}: Return Dimensions of Vectors, Arrays, and Data Frames}\label{ss:dims}
+\keyword{file}{dims}
+\begin{Description}\relax
+Retrieve the dimensions of a vector, array, or data frame.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+dims(x)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{x}] An R object.  For example, a vector, matrix, array, or data 
+frame.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The function \code{dims} performs exactly the same as \code{dim}, and 
+additionally returns the \code{length} of vectors (treating them as 
+one-dimensional arrays).
+\end{Value}
+\begin{Author}\relax
+Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{dim}, \code{length}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+a <- 1:12
+dims(a)
+
+a <- matrix(1, nrow = 4, ncol = 9)
+dims(a)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/eidat.tex b/inst/doc/commandsRd/eidat.tex
new file mode 100644
index 0000000..40c02cf
--- /dev/null
+++ b/inst/doc/commandsRd/eidat.tex
@@ -0,0 +1,14 @@
+\section{{\tt eidat}: Simulation Data for Ecological Inference}\label{ss:eidat}
+\keyword{datasets}{eidat}
+\begin{Description}\relax
+This dataframe contains a simulated data set to illustrate the models
+for ecological inference.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(eidat)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 4 variables ("t0", "t1", "x0", "x1") and 10 
+observations.
+\end{Format}
+
diff --git a/inst/doc/commandsRd/friendship.tex b/inst/doc/commandsRd/friendship.tex
new file mode 100644
index 0000000..034ceeb
--- /dev/null
+++ b/inst/doc/commandsRd/friendship.tex
@@ -0,0 +1,15 @@
+\section{{\tt friendship}: Simulated Example of Schoolchildren Friendship Network}\label{ss:friendship}
+\keyword{datasets}{friendship}
+\begin{Description}\relax
+This data set contains five sociomatrices of simulated data on friendship ties among schoolchildren.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(friendship)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+Each variable in the dataset is a 15 by 15 matrix representing some form of social network tie held by the fictitious children. The matrices are labeled "friends", "advice", "prestige", "authority", and "perpower".
+\end{Format}
+\begin{Source}\relax
+fictitious
+\end{Source}
+
diff --git a/inst/doc/commandsRd/gsource.tex b/inst/doc/commandsRd/gsource.tex
new file mode 100644
index 0000000..863a91c
--- /dev/null
+++ b/inst/doc/commandsRd/gsource.tex
@@ -0,0 +1,49 @@
+\section{{\tt gsource}: Read Data As a Space-Delimited Table}\label{ss:gsource}
+\keyword{file}{gsource}
+\begin{Description}\relax
+The \code{gsource} function allows you to read a space delimited table
+as a data frame.  Unlike \code{scan}, you may use \code{gsource} in a
+\code{source}ed file, and unlike \code{read.table}, you may use
+\code{gsource} to include a small (or large) data set in a file that
+also contains other commands.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+gsource(var.names = NULL, variables)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{var.names}] An optional vector of character strings representing
+the column names.  By default, \code{var.names = NULL}. 
+\item[\code{variables}] A single character string representing the data.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The output from \code{gsource} is a data frame, which you may save to
+an object in your workspace.
+\end{Value}
+\begin{Author}\relax
+Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{read.table}, \code{scan}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+## Not run: 
+data <- gsource(variables =  "
+                 1 2 3 4 5    
+                 6 7 8 9 10   
+                 3 4 5 1 3    
+                 6 7 8 1 9    ")
+
+data <- gsource(var.names = "Vote Age Party", variables = "
+                             0    23 Democrat             
+                             0    27 Democrat             
+                             1    45 Republican           
+                             1    65 Democrat             ")
+## End(Not run)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/help.zelig.tex b/inst/doc/commandsRd/help.zelig.tex
new file mode 100644
index 0000000..da777c7
--- /dev/null
+++ b/inst/doc/commandsRd/help.zelig.tex
@@ -0,0 +1,29 @@
+\section{{\tt help.zelig}: HTML Help for Zelig Commands and Models}\label{ss:help.zelig}
+\keyword{documentation}{help.zelig}
+\begin{Description}\relax
+The \code{help.zelig} command launches html help for Zelig commands
+and supported models.  The full manual is available online at
+\url{http://gking.harvard.edu/zelig}.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+help.zelig(...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{...}] a Zelig command or model. 
+\code{help.zelig(command)} will take you to an index of Zelig
+commands and \code{help.zelig(model)} will take you to a list of
+models. 
+\end{ldescription}
+\end{Arguments}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau<\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The complete document is available online at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/hoff.tex b/inst/doc/commandsRd/hoff.tex
new file mode 100644
index 0000000..203f2ca
--- /dev/null
+++ b/inst/doc/commandsRd/hoff.tex
@@ -0,0 +1,24 @@
+\section{{\tt hoff}: Social Security Expenditure Data}\label{ss:hoff}
+\keyword{datasets}{hoff}
+\begin{Description}\relax
+This data set contains annual social security expenditure (as percent
+of budget lagged by two years), the
+relative frequency of mentions social justice received in the party's
+platform in each year, and whether the president is Republican or
+Democrat.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(hoff)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 5 variables ("year", "L2SocSec", "Just503D", "Just503R", "RGovDumy") and 36 observations.
+\end{Format}
+\begin{Source}\relax
+ICPSR (replication dataset s1109)
+\end{Source}
+\begin{References}\relax
+Gary King and Michael Laver. ``On Party Platforms, Mandates, and
+Government Spending,'' \emph{American Political Science Review},
+Vol. 87, No. 3 (September, 1993): pp. 744-750.
+\end{References}
+
diff --git a/inst/doc/commandsRd/immigration.tex b/inst/doc/commandsRd/immigration.tex
new file mode 100644
index 0000000..56a5f4f
--- /dev/null
+++ b/inst/doc/commandsRd/immigration.tex
@@ -0,0 +1,28 @@
+\section{{\tt immigration}: Individual Preferences Over Immigration Policy}\label{ss:immigration}
+\aliasA{immi1}{immigration}{immi1}
+\aliasA{immi2}{immigration}{immi2}
+\aliasA{immi3}{immigration}{immi3}
+\aliasA{immi4}{immigration}{immi4}
+\aliasA{immi5}{immigration}{immi5}
+\keyword{datasets}{immigration}
+\begin{Description}\relax
+These five datasets are part of a larger set of 10 multiply
+imputed data sets describing individual preferences toward immigration
+policy.  Imputation was performed via Amelia.
+\end{Description}
+\begin{Format}\relax
+Each multiply-inputed data set consists of a table with 7 variables
+("ipip", "wage1992", "prtyid",
+"ideol", "gender") and 2,485 observations.  For variable descriptions,
+please refer to Scheve and
+Slaugher, 2001.
+\end{Format}
+\begin{Source}\relax
+National Election Survey
+\end{Source}
+\begin{References}\relax
+Scheve, Kenneth and Matthew Slaughter (2001). ``Labor Market Competition
+and Individual Preferences Over Immigration Policy,'' \emph{The Review of
+Economics and Statistics}, vol. 83, no. 1, pp. 133-145.
+\end{References}
+
diff --git a/inst/doc/commandsRd/macro.tex b/inst/doc/commandsRd/macro.tex
new file mode 100644
index 0000000..32e2cbc
--- /dev/null
+++ b/inst/doc/commandsRd/macro.tex
@@ -0,0 +1,28 @@
+\section{{\tt macro}: Macroeconomic Data}\label{ss:macro}
+\keyword{datasets}{macro}
+\begin{Description}\relax
+Selected macroeconomic indicators for Austria, Belgium, Canada,
+Denmark, Finland, France, Italy, Japan, the Netherlands, Norway,
+Sweden, the United Kingdom, the United States, and West Germany for
+the period 1966-1990.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(macro)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 6 variables ("country", "year", "gdp", 
+"unem", "capmob", and "trade") and 350 observations.
+\end{Format}
+\begin{Source}\relax
+ICPSR
+\end{Source}
+\begin{References}\relax
+King, Gary, Michael Tomz and Jason Wittenberg. ICPSR Publication
+Related Archive, 1225.
+
+King, Gary, Michael Tomz and Jason Wittenberg (2000).
+``Making the Most of Statistical Analyses: Improving Interpretation and 
+Presentation,'' \emph{American Journal of Political Science}, vol. 44,
+pp. 341-355.
+\end{References}
+
diff --git a/inst/doc/commandsRd/match.data.tex b/inst/doc/commandsRd/match.data.tex
new file mode 100644
index 0000000..09d1d89
--- /dev/null
+++ b/inst/doc/commandsRd/match.data.tex
@@ -0,0 +1,43 @@
+\section{{\tt match.data}: Output matched data sets}\label{ss:match.data}
+\keyword{methods}{match.data}
+\begin{Description}\relax
+The code \code{match.data} creates output data sets from the \code{matchit}
+matching algorithm.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+match.data <- match.data(object, group = "all")
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] Stored output from \code{matchit}.
+\item[\code{group}] Which units to output.  Selecting "all" (default) gives all
+matched units (treated and control), "treat" gives just the matched
+treated units, and "control" gives just the matched control units.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The \code{match.data} command generates a matched data set from
+the output of the \code{matchit} function, according to the options
+selected in the \code{group} argument.  The matched data set contains
+the additional variables: 
+\begin{ldescription}
+\item[\code{pscore}] The propensity score for each unit.
+\item[\code{psclass}] The subclass index for each unit (if applicable).
+\item[\code{psweights}] The weight for each unit (generated from the matching
+procedure).
+\end{ldescription}
+
+See the \code{matchit} documentation for more details on these items.
+\end{Value}
+\begin{Author}\relax
+Daniel Ho <\email{deho at fas.harvard.edu}>; Kosuke Imai
+<\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Elizabeth Stuart<\email{stuart at stat.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The complete documentation for \code{matchit} is available online at
+\url{http://gking.harvard.edu/matchit}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/mexico.tex b/inst/doc/commandsRd/mexico.tex
new file mode 100644
index 0000000..90d1bfa
--- /dev/null
+++ b/inst/doc/commandsRd/mexico.tex
@@ -0,0 +1,24 @@
+\section{{\tt mexico}: Voting Data from the 1988 Mexican Presidental Election}\label{ss:mexico}
+\keyword{datasets}{mexico}
+\begin{Description}\relax
+This dataset contains voting data for the 1988 Mexican presidential
+election.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(mexico)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 33 variables and 1,359 observations.
+\end{Format}
+\begin{Source}\relax
+ICPSR
+\end{Source}
+\begin{References}\relax
+King, Gary, Michael Tomz and Jason Wittenberg (2000).
+``Making the Most of Statistical Analyses: Improving Interpretation and 
+Presentation,'' \emph{American Journal of Political Science}, vol. 44,
+pp. 341-355.
+
+King, Tomz and Wittenberg.  ICPSR Publication Related Archive, 1255.
+\end{References}
+
diff --git a/inst/doc/commands/mi.aux b/inst/doc/commandsRd/mi.aux
similarity index 50%
rename from inst/doc/commands/mi.aux
rename to inst/doc/commandsRd/mi.aux
index 34e3439..bb7623b 100644
--- a/inst/doc/commands/mi.aux
+++ b/inst/doc/commandsRd/mi.aux
@@ -1,14 +1,8 @@
 \relax 
-\@writefile{toc}{\contentsline {section}{\numberline {11.2}{\tt  mi}: Create a list of multiply imputed data frames}{115}{section.11.2}}
-\newlabel{mi.command}{{11.2}{115}{{\tt mi}: Create a list of multiply imputed data frames\relax }{section.11.2}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{115}{section*.95}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{115}{section*.96}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{115}{section*.97}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{115}{section*.98}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{115}{section*.99}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{115}{section*.100}}
-\@setckpt{commands/mi}{
-\setcounter{page}{116}
+\@writefile{toc}{\contentsline {section}{\numberline {11.2}{\tt  mi}: Bundle multiply imputed data sets as a list}{114}{section.11.2}}
+\newlabel{ss:mi}{{11.2}{114}{{\tt mi}: Bundle multiply imputed data sets as a list\relax }{section.11.2}{}}
+\@setckpt{commandsRd/mi}{
+\setcounter{page}{115}
 \setcounter{equation}{0}
 \setcounter{enumi}{4}
 \setcounter{enumii}{3}
@@ -25,6 +19,9 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
 \setcounter{NAT at ctr}{0}
 \setcounter{parentequation}{0}
 \setcounter{Item}{216}
@@ -33,9 +30,9 @@
 \setcounter{lchapter}{0}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
+\setcounter{lsubsubsection}{7}
 \setcounter{lparagraph}{0}
 \setcounter{lsubparagraph}{0}
 \setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
+\setcounter{section at level}{1}
 }
diff --git a/inst/doc/commandsRd/mi.tex b/inst/doc/commandsRd/mi.tex
new file mode 100644
index 0000000..a11b51b
--- /dev/null
+++ b/inst/doc/commandsRd/mi.tex
@@ -0,0 +1,39 @@
+\section{{\tt mi}: Bundle multiply imputed data sets as a list}\label{ss:mi}
+\keyword{methods}{mi}
+\begin{Description}\relax
+The code \code{mi} bundles multiply imputed data sets as a
+list for further analysis.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+  mi(...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{...}] multiply imputed data sets, separated by commas. The
+arguments can be tagged by \code{name=data} where \code{name} is the
+element named used for the data set \code{data}.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The list containing each multiply imputed data set as an
+element. The class name is \code{mi}. The list can be inputted into
+\code{zelig} for statistical analysis with multiply imputed data
+sets. See \code{zelig} for details.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual is available at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+  data(immi1, immi2, immi3, immi4, immi5)
+  mi(immi1, immi2, immi3, immi4, immi5)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/mid.tex b/inst/doc/commandsRd/mid.tex
new file mode 100644
index 0000000..02688ca
--- /dev/null
+++ b/inst/doc/commandsRd/mid.tex
@@ -0,0 +1,28 @@
+\section{{\tt mid}: Militarized Interstate Disputes}\label{ss:mid}
+\keyword{datasets}{mid}
+\begin{Description}\relax
+A small sample from the militarized interstate disputes database,
+available at \url{http://pss.la.psu.edu/MID_DATA.HTM}.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(mid)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 6 variables ("conflict", "major", "contig", 
+"power", "maxdem", "mindem", and "years") and 3,126 observations.  For
+full variable descriptions, please see King and Zeng, 2001.
+\end{Format}
+\begin{Source}\relax
+Militarized Interstate Disputes database
+\end{Source}
+\begin{References}\relax
+King, Gary, and Lanche Zeng (2001).  ``Explaining Rare Events in
+International Relations,'' \emph{International Organization}, vol. 55,
+no. 3, pp. 693-715.  
+
+Jones, Daniel M., Stuart A. Bremer and David Singer (1996).  ``Militarized
+Interstate Disputes, 1816-1992: Rationale, Coding Rules, and Empirical
+Patterns,'' \emph{Conflict Management and Peace Science}, vol. 15,
+no. 2, pp. 163-213.
+\end{References}
+
diff --git a/inst/doc/commandsRd/model.end.tex b/inst/doc/commandsRd/model.end.tex
new file mode 100644
index 0000000..e6e4326
--- /dev/null
+++ b/inst/doc/commandsRd/model.end.tex
@@ -0,0 +1,44 @@
+\section{{\tt model.end}: Cleaning up after optimization}\label{ss:model.end}
+\keyword{utilities}{model.end}
+\begin{Description}\relax
+The \code{model.end} function creates a list of regression output from \code{\LinkA{optim}{optim}} 
+output.  The list includes coefficients (from the \code{\LinkA{optim}{optim}} \code{par} output), a 
+variance-covariance matrix (from the \code{\LinkA{optim}{optim}} Hessian output), and any terms, contrasts, or 
+xlevels (from the model frame).  Use \code{model.end} after calling \code{\LinkA{optim}{optim}}, but before 
+assigning a 
+class to the regression output.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+model.end(res, mf)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{res}] the output from \code{\LinkA{optim}{optim}} or another fitting-algorithm
+\item[\code{mf}] the model frame output by \code{\LinkA{model.frame}{model.frame}}
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+A list of regression output, including: 
+\begin{ldescription}
+\item[\code{coefficients}] the optimized parameters
+\item[\code{variance}] the variance-covariance matrix (the negative
+inverse of the Hessian matrix returned from the optimization
+procedure)
+\item[\code{terms}] the terms object.  See \code{\LinkA{terms.object}{terms.object}}
+for more information
+\item[\code{...}] additional elements passed from \code{res}
+\end{ldescription}
+
+normal-bracket37bracket-normal
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual at \url{http://gking.harvard.edu/zelig} for examples.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/model.frame.multiple.tex b/inst/doc/commandsRd/model.frame.multiple.tex
new file mode 100644
index 0000000..1c30acd
--- /dev/null
+++ b/inst/doc/commandsRd/model.frame.multiple.tex
@@ -0,0 +1,56 @@
+\section{{\tt model.frame.multiple}: Extracting the ``environment'' of a model formula}\label{ss:model.frame.multiple}
+\keyword{utilities}{model.frame.multiple}
+\begin{Description}\relax
+Use \code{model.frame.multiple} after \code{\LinkA{parse.par}{parse.par}} to create a
+data frame of the unique variables identified in the formula (or list
+of formulas).
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+model.frame.multiple(formula, data, eqn = NULL, ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{formula}] a list of formulas of class \code{"multiple"}, returned from \code{\LinkA{parse.par}{parse.par}}
+\item[\code{data}] a data frame containing all the variables used in \code{formula}
+\item[\code{eqn}] an optional character string or vector of character strings specifying 
+the equations (specified in \code{describe.mymodel}) for which you would like to 
+pull out the relevant variables.
+\item[\code{...}] additional arguments passed to 
+\code{\LinkA{model.frame.default}{model.frame.default}}
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The output is a data frame (with a terms attribute) containing all the
+unique explanatory and response variables identified in the list of
+formulas.  By default, missing (\code{NA}) values are listwise deleted.
+
+If \code{as.factor} appears on the left-hand side, the response
+variables will be returned as an indicator (0/1) matrix with columns
+corresponding to the unique levels in the factor variable.  
+
+If any formula contains more than one \code{tag} statement, \code{model.frame.multiple}
+will return the original variable in the data frame and use the \code{tag} information in the terms 
+attribute only.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{model.matrix.default}{model.matrix.default}}, \code{\LinkA{parse.formula}{parse.formula}} and the full Zelig manual at
+\url{http://gking.harvard.edu/zelig}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+## Not run: 
+data(sanction)
+formulae <- list(import ~ coop + cost + target,
+                 export ~ coop + cost + target)
+fml <- parse.formula(formulae, model = "bivariate.logit")
+D <- model.frame(fml, data = sanction)
+## End(Not run)\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/model.matrix.multiple.tex b/inst/doc/commandsRd/model.matrix.multiple.tex
new file mode 100644
index 0000000..da76b16
--- /dev/null
+++ b/inst/doc/commandsRd/model.matrix.multiple.tex
@@ -0,0 +1,83 @@
+\section{{\tt model.matrix.multiple}: Design matrix for multivariate models}\label{ss:model.matrix.multiple}
+\keyword{utilities}{model.matrix.multiple}
+\begin{Description}\relax
+Use \code{model.matrix.multiple} after \code{\LinkA{parse.formula}{parse.formula}} to
+create a design matrix for multiple-equation models.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+model.matrix.multiple(object, data, shape = "compact", eqn = NULL, ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] the list of formulas output from \code{\LinkA{parse.formula}{parse.formula}}
+\item[\code{data}] a data frame created with \code{\LinkA{model.frame.multiple}{model.frame.multiple}}
+\item[\code{shape}] a character string specifying the shape of the outputed matrix.  Available options are 
+\Itemize{
+\item["compact"] (default) the output matrix will be an \eqn{n \times v}{n x v},
+where \eqn{v}{} is the number of unique variables in all of the equations
+(including the intercept term)
+\item["array"] the output is an \eqn{n \times K \times J}{n x K x J} array where \eqn{J}{} is the
+total number of equations and \eqn{K}{} is the total number of parameters
+across all the equations.  If a variable is not in a certain equation,
+it is observed as a vector of 0s.
+\item["stacked"] the output will be a \eqn{2n \times K}{2n x K} matrix where \eqn{K}{} is the total number of 
+parameters across all the equations.
+}
+\item[\code{eqn}] a character string or a vector of character strings identifying the equations from which to 
+construct the design matrix. The defaults to \code{NULL}, which only uses the systematic
+parameters (for which \code{DepVar = TRUE} in the appropriate \code{describe.model} function)
+\item[\code{...}] additional arguments passed to \code{model.matrix.default}
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+A design matrix or array, depending on the options chosen in \code{shape}, with appropriate terms 
+attributes.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{parse.par}{parse.par}}, \code{\LinkA{parse.formula}{parse.formula}} and the full Zelig manual at
+\url{http://gking.harvard.edu/zelig}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+
+# Let's say that the name of the model is "bivariate.probit", and
+# the corresponding describe function is describe.bivariate.probit(),
+# which identifies mu1 and mu2 as systematic components, and an
+# ancillary parameter rho, which may be parameterized, but is estimated
+# as a scalar by default.  Let par be the parameter vector (including
+# parameters for rho), formulae a user-specified formula, and mydata
+# the user specified data frame.
+
+# Acceptable combinations of parse.par() and model.matrix() are as follows:
+## Setting up
+## Not run:  
+data(sanction)
+formulae <- cbind(import, export) ~ coop + cost + target
+fml <- parse.formula(formulae, model = "bivariate.probit")
+D <- model.frame(fml, data = sanction)
+terms <- attr(D, "terms")
+
+## Intuitive option
+Beta <- parse.par(par, terms, shape = "vector", eqn = c("mu1", "mu2"))
+X <- model.matrix(fml, data = D, shape = "stacked", eqn = c("mu1", "mu2")  
+eta <- X 
+
+## Memory-efficient (compact) option (default)
+Beta <- parse.par(par, terms, eqn = c("mu1", "mu2"))
+X <- model.matrix(fml, data = D, eqn = c("mu1", "mu2"))   
+eta <- X 
+
+## Computationally-efficient (array) option
+Beta <- parse.par(par, terms, shape = "vector", eqn = c("mu1", "mu2"))
+X <- model.matrix(fml, data = D, shape = "array", eqn = c("mu1", "mu2"))
+eta <- apply(X, 3, '
+## End(Not run)\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/network.aux b/inst/doc/commandsRd/network.aux
new file mode 100644
index 0000000..d287bdd
--- /dev/null
+++ b/inst/doc/commandsRd/network.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {11.3}{\tt  network}: Format matricies into a data frame for social network analysis}{115}{section.11.3}}
+\newlabel{ss:network}{{11.3}{115}{{\tt network}: Format matricies into a data frame for social network analysis\relax }{section.11.3}{}}
+\@setckpt{commandsRd/network}{
+\setcounter{page}{116}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{2}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{11}
+\setcounter{section}{3}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{10}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{7}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/network.tex b/inst/doc/commandsRd/network.tex
new file mode 100644
index 0000000..03cce83
--- /dev/null
+++ b/inst/doc/commandsRd/network.tex
@@ -0,0 +1,42 @@
+\section{{\tt network}: Format matricies into a data frame for social network analysis}\label{ss:network}
+\keyword{methods}{network}
+\begin{Description}\relax
+This function accepts individual matricies as its inputs,
+combining the input matricies into a single data frame which can then be
+used in the \code{data} argument for social network analysis (models
+\code{"netlm"} and \code{"netlogit"}) in Zelig.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+network(...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{...}] matricies representing variables, with rows and columns corresponding to
+individuals.  These can be given as named arguments and should be
+given in the order the in which the user wishes them to appear in
+the output data frame.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The \code{network} function creates a data frame which
+contains matricies instead of vectors as its variables.  Inputs to the
+function should all be square matricies and can be given as named
+arguments.
+\end{Value}
+\begin{Author}\relax
+Skyler J. Cranmer
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual is available at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}## Not run: 
+## Let Var1, Var2, Var3, Var4, and Var5 be matrices
+friendship <- network(Var1, Var2, Var3, Var4, Var5)
+## End(Not run)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/newpainters.tex b/inst/doc/commandsRd/newpainters.tex
new file mode 100644
index 0000000..882a6a4
--- /dev/null
+++ b/inst/doc/commandsRd/newpainters.tex
@@ -0,0 +1,32 @@
+\section{{\tt newpainters}: The Discretized Painter's Data of de Piles}\label{ss:newpainters}
+\keyword{datasets}{newpainters}
+\begin{Description}\relax
+The original painters data contain the subjective assessment, 
+on a 0 to 20 integer scale, of 54 classical painters. The
+newpainters data discretizes the subjective assessment by
+quartiles with thresholds 25\%, 50\%, 75\%. The painters were 
+assessed on four characteristics: composition, drawing, 
+colour and expression.  The data is due to the Eighteenth century 
+art critic, de Piles.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(newpainters)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 5 variables ("Composition", "Drawing", "Colour", 
+"Expression", and "School") and 54 observations.
+\end{Format}
+\begin{Source}\relax
+A. J. Weekes (1986).``A Genstat Primer''. Edward Arnold.
+
+M. Davenport and G. Studdert-Kennedy (1972). ``The statistical
+analysis of aesthetic judgement: an exploration.'' \emph{Applied
+Statistics}, vol. 21,  pp. 324--333.
+
+I. T. Jolliffe (1986) ``Principal Component Analysis.'' Springer.
+\end{Source}
+\begin{References}\relax
+Venables, W. N. and Ripley, B. D. (2002) ``Modern Applied
+Statistics with S,'' Fourth edition.  Springer.
+\end{References}
+
diff --git a/inst/doc/commandsRd/parse.formula.tex b/inst/doc/commandsRd/parse.formula.tex
new file mode 100644
index 0000000..83e689d
--- /dev/null
+++ b/inst/doc/commandsRd/parse.formula.tex
@@ -0,0 +1,77 @@
+\section{{\tt parse.formula}: Parsing user-input formulas into multiple syntax}\label{ss:parse.formula}
+\keyword{utilities}{parse.formula}
+\begin{Description}\relax
+Parse the input formula (or list of formulas) into the 
+standard format described below.  Since labels for this format will vary 
+by model, \code{parse.formula} will evaluate a function \code{describe.model},
+where \code{model} is given as an input to \code{parse.formula}.
+
+If the \code{describe.model} function has more than one parameter for
+which \code{ExpVar = TRUE} and \code{DepVar = TRUE}, then the
+user-specified equations must have labels to match those parameters,
+else \code{parse.formula} should return an error. In addition, if the
+formula entries are not unambiguous, then \code{parse.formula} returns an error.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+parse.formula(formula, model, data = NULL)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{formula}] either a single formula or a list of \code{formula} objects
+\item[\code{model}] a character string specifying the name of the model
+\item[\code{data}] an optional data frame for models that require a factor response variable
+\end{ldescription}
+\end{Arguments}
+\begin{Details}\relax
+Acceptable user inputs are as follows:
+
+\Tabular{lll}{
+& User Input   & Output from \code{parse.formula}\\
+& & \\
+Same covariates, & cbind(y1, y2) ~ x1 + x2 * x3  & list(mu1 = y1 ~ x1 + x2 * x3,\\
+separate effects &                               &      mu2 = y2 ~ x1 + x2 * x3,\\
+&                               &      rho = ~ 1)\\
+& & \\
+With \code{rho} as a & list(cbind(y1, y2) ~ x1 + x2, & list(mu1 = y1 ~ x1 + x2,\\
+systematic equation  & rho = ~ x4 + x5)              &      mu2 = y2 ~ x1 + x2,\\
+&                               &      rho = ~ x4 + x5)\\
+& & \\
+With constraints & list(mu1 = y1 ~ x1 + tag(x2, "x2"), & list(mu1 = y1 ~ x1 + tag(x2, "x2"),\\
+(same variable)  &      mu2 = y2 ~ x3 + tag(x2, "x2")) &      mu2 = y2 ~ x3 + tag(x2, "x2"),\\
+&                                     &      rho = ~ 1)\\
+& & \\
+With constraints &  list(mu1 = y1 ~ x1 + tag(x2, "z1"), & list(mu1 = y1 ~ x1 + tag(x2, "z1"),\\
+(different variables) &     mu2 = y2 ~ x3 + tag(x4, "z1")) &     mu2 = y2 ~ x3 + tag(x4, "z1"),\\
+&                                  &         rho = ~ 1)\\
+}
+\end{Details}
+\begin{Value}
+The output is a list of formula objects with class 
+\code{c("multiple", "list")}.  Let's say that the name of the model is 
+\code{"bivariate.probit"}, and the corresponding describe function is 
+\code{describe.bivariate.probit}, which identifies \code{mu1} and 
+\code{mu2} as systematic components, and an ancillary parameter \code{rho}, which
+may be parameterized, but is estimated as a scalar by default.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi 
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{parse.par}{parse.par}}, \code{\LinkA{model.frame.multiple}{model.frame.multiple}}, 
+\code{\LinkA{model.matrix.multiple}{model.matrix.multiple}}, and the full Zelig manual at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+## Not run: 
+data(sanction)
+formulae <- list(cbind(import, export) ~ coop + cost + target)
+fml <- parse.formula(formulae, model = "bivariate.probit")
+D <- model.frame(fml, data = sanction)
+## End(Not run)\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/parse.par.tex b/inst/doc/commandsRd/parse.par.tex
new file mode 100644
index 0000000..877e3d7
--- /dev/null
+++ b/inst/doc/commandsRd/parse.par.tex
@@ -0,0 +1,82 @@
+\section{{\tt parse.par}: Select and reshape parameter vectors}\label{ss:parse.par}
+\keyword{utilities}{parse.par}
+\begin{Description}\relax
+The \code{parse.par} function reshapes parameter vectors for
+comfortability with the output matrix from \code{\LinkA{model.matrix.multiple}{model.matrix.multiple}}. 
+Use \code{parse.par} to identify sets of parameters; for example, within
+optimization functions that require vector input, or within \code{qi}
+functions that take matrix input of all parameters as a lump.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+parse.par(par, terms, shape = "matrix", eqn = NULL)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{par}] the vector (or matrix) of parameters
+\item[\code{terms}] the terms from either \code{\LinkA{model.frame.multiple}{model.frame.multiple}} or 
+\code{\LinkA{model.matrix.multiple}{model.matrix.multiple}}
+\item[\code{shape}] a character string (either \code{"matrix"} or \code{"vector"})
+that identifies the type of output structure
+\item[\code{eqn}] a character string (or strings) that identify the
+parameters that you would like to subset from the larger \code{par}
+structure
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+A matrix or vector of the sub-setted (and reshaped) parameters for the specified
+parameters given in \code{"eqn"}.   By default, \code{eqn = NULL}, such that all systematic
+components are selected.  (Systematic components have \code{ExpVar = TRUE} in the appropriate 
+\code{describe.model} function.)  
+
+If an ancillary parameter (for which \code{ExpVar = FALSE} in
+\code{describe.model}) is specified in \code{eqn}, it is
+always returned as a vector (ignoring \code{shape}).  (Ancillary
+parameters are all parameters that have intercept only formulas.)
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{model.matrix.multiple}{model.matrix.multiple}}, \code{\LinkA{parse.formula}{parse.formula}} and the full Zelig manual at
+\url{http://gking.harvard.edu/zelig}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+# Let's say that the name of the model is "bivariate.probit", and
+# the corresponding describe function is describe.bivariate.probit(), 
+# which identifies mu1 and mu2 as systematic components, and an 
+# ancillary parameter rho, which may be parameterized, but is estimated 
+# as a scalar by default.  Let par be the parameter vector (including 
+# parameters for rho), formulae a user-specified formula, and mydata
+# the user specified data frame.  
+
+# Acceptable combinations of parse.par() and model.matrix() are as follows:
+## Setting up
+## Not run: 
+data(sanction)
+formulae <- cbind(import, export) ~ coop + cost + target
+fml <- parse.formula(formulae, model = "bivariate.probit")
+D <- model.frame(fml, data = sanction)
+terms <- attr(D, "terms")
+
+## Intuitive option
+Beta <- parse.par(par, terms, shape = "vector", eqn = c("mu1", "mu2"))
+X <- model.matrix(fml, data = D, shape = "stacked", eqn = c("mu1", "mu2")
+eta <- X 
+
+## Memory-efficient (compact) option (default)
+Beta <- parse.par(par, terms, eqn = c("mu1", "mu2"))    
+X <- model.matrix(fml, data = D, eqn = c("mu1", "mu2"))
+eta <- X 
+
+## Computationally-efficient (array) option
+Beta <- parse.par(par, terms, shape = "vector", eqn = c("mu1", "mu2"))
+X <- model.matrix(fml, data = D, shape = "array", eqn = c("mu1", "mu2"))
+eta <- apply(X, 3, '
+## End(Not run)\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/plot.ci.aux b/inst/doc/commandsRd/plot.ci.aux
new file mode 100644
index 0000000..326d849
--- /dev/null
+++ b/inst/doc/commandsRd/plot.ci.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {11.4}{\tt  plot.ci}: Plotting Vertical confidence Intervals}{116}{section.11.4}}
+\newlabel{ss:plot.ci}{{11.4}{116}{{\tt plot.ci}: Plotting Vertical confidence Intervals\relax }{section.11.4}{}}
+\@setckpt{commandsRd/plot.ci}{
+\setcounter{page}{118}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{2}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{11}
+\setcounter{section}{4}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{10}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{7}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/plot.ci.tex b/inst/doc/commandsRd/plot.ci.tex
new file mode 100644
index 0000000..20f73dd
--- /dev/null
+++ b/inst/doc/commandsRd/plot.ci.tex
@@ -0,0 +1,68 @@
+\section{{\tt plot.ci}: Plotting Vertical confidence Intervals}\label{ss:plot.ci}
+\keyword{hplot}{plot.ci}
+\begin{Description}\relax
+The \code{plot.ci} command generates vertical
+confidence intervals for linear or generalized linear univariate
+response models.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+plot.ci(x, CI = 95, qi = "ev", main = "", ylab = NULL, xlab = NULL,
+        xlim = NULL, ylim = NULL, col = c("red", "blue"), ...) 
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{x}] stored output from \code{sim}.  The \code{x\$x} and optional
+\code{x\$x1} values used to generate the \code{sim} output object must
+have more than one observation.
+\item[\code{CI}] the selected confidence interval.  Defaults to 95
+percent.
+\item[\code{qi}] the selected quantity of interest.  Defaults to
+expected values.
+\item[\code{main}] a title for the plot.
+\item[\code{ylab}] label for the y-axis.
+\item[\code{xlab}] label for the x-axis.
+\item[\code{xlim}] limits on the x-axis.
+\item[\code{ylim}] limits on the y-axis.
+\item[\code{col}] a vector of at most two colors for plotting the
+expected value given by \code{x} and the alternative set of expected
+values given by \code{x1} in \code{sim}.  If the quantity of
+interest selected is not the expected value, or \code{x1 = NULL},
+only the first color will be used.
+\item[\code{...}] Additional parameters passed to \code{plot}.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+For all univariate response models, {\tt plot.ci()} returns vertical
+confidence intervals over a specified range of one explanatory
+variable.  You may save this plot using the commands described in the
+Zelig manual (\url{http://gking.harvard.edu/zelig}).
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual is available at
+\url{http://gking.harvard.edu/zelig}, and users may also wish to see
+\code{plot}, \code{lines}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+data(turnout)
+z.out <- zelig(vote ~ race + educate + age + I(age^2) + income,
+               model = "logit", data = turnout)
+age.range <- 18:95
+x.low <- setx(z.out, educate = 12, age = age.range)
+x.high <- setx(z.out, educate = 16, age = age.range)
+s.out <- sim(z.out, x = x.low, x1 = x.high)
+plot.ci(s.out, xlab = "Age in Years",
+        ylab = "Predicted Probability of Voting",
+        main = "Effect of Education and Age on Voting Behavior")
+legend(45, 0.52, legend = c("College Education (16 years)",
+       "High School Education (12 years)"), col = c("blue","red"), 
+       lty = c("solid"))
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/plot.zelig.aux b/inst/doc/commandsRd/plot.zelig.aux
new file mode 100644
index 0000000..7a64e65
--- /dev/null
+++ b/inst/doc/commandsRd/plot.zelig.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {10.5}{\tt  plot.zelig}: Graphing Quantities of Interest}{102}{section.10.5}}
+\newlabel{ss:plot.zelig}{{10.5}{102}{{\tt plot.zelig}: Graphing Quantities of Interest\relax }{section.10.5}{}}
+\@setckpt{commandsRd/plot.zelig}{
+\setcounter{page}{103}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{0}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{10}
+\setcounter{section}{5}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{8}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{6}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/plot.zelig.tex b/inst/doc/commandsRd/plot.zelig.tex
new file mode 100644
index 0000000..59e2843
--- /dev/null
+++ b/inst/doc/commandsRd/plot.zelig.tex
@@ -0,0 +1,48 @@
+\section{{\tt plot.zelig}: Graphing Quantities of Interest}\label{ss:plot.zelig}
+\aliasA{plot}{plot.zelig}{plot}
+\keyword{hplot}{plot.zelig}
+\begin{Description}\relax
+The \code{zelig} method for the generic \code{plot}
+command generates default plots for \code{\LinkA{sim}{sim}} output with
+one-observation values in \code{x} and \code{x1}.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+## S3 method for class 'zelig':
+plot(x, xlab = "", user.par = FALSE, ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{x}] stored output from \code{\LinkA{sim}{sim}}.  If the \code{x\$x} or
+\code{x\$x1} values stored in the object contain more than one
+observation, \code{plot.zelig} will return an error.  For linear or
+generalized linear models with more than one observation in \code{x\$x}
+and optionally \code{x\$x1}, you may use \code{\LinkA{plot.ci}{plot.ci}}.  
+\item[\code{xlab}] a character string for the x-axis label for all graphs.
+\item[\code{user.par}] a logical value indicating whether to use the default
+Zelig plotting parameters (\code{user.par = FALSE}) or
+user-defined parameters (\code{user.par = TRUE}), set using the
+\code{par} function prior to plotting. 
+\item[\code{...}] Additional parameters passed to \code{plot.default}.
+Because \code{plot.zelig} primarily produces diagnostic plots, many
+of these parameters are hard-coded for convenience and
+presentation. 
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+Depending on the class of model selected, \code{plot.zelig} will
+return an on-screen window with graphs of the various quantities of
+interest.  You may save these plots using the commands described in
+the Zelig manual (available at \url{http://gking.harvard.edu/zelig}).
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual at
+\url{http://gking.harvard.edu/zelig} and \code{plot}, \code{lines},
+and \code{par}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/put.start.tex b/inst/doc/commandsRd/put.start.tex
new file mode 100644
index 0000000..0a27044
--- /dev/null
+++ b/inst/doc/commandsRd/put.start.tex
@@ -0,0 +1,33 @@
+\section{{\tt put.start}: Set specific starting values for certain parameters}\label{ss:put.start}
+\keyword{utilities}{put.start}
+\begin{Description}\relax
+After calling \code{\LinkA{set.start}{set.start}} to create default starting values, use \code{put.start} 
+to change starting values for specific parameters or parameter sets.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+put.start(start.val, value, terms, eqn)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{start.val}] the vector of starting values created by \code{\LinkA{set.start}{set.start}}
+\item[\code{value}] the scalar or vector of replacement starting values
+\item[\code{terms}] the terms output from \code{\LinkA{model.frame.multiple}{model.frame.multiple}}
+\item[\code{eqn}] character vector of the parameters for which you would like to replace
+the default values with \code{value}
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+A vector of starting values (of the same length as \code{start.val})
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{set.start}{set.start}}, and the full Zelig manual at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/repl.aux b/inst/doc/commandsRd/repl.aux
new file mode 100644
index 0000000..84819ae
--- /dev/null
+++ b/inst/doc/commandsRd/repl.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {10.7}{\tt  repl}: Replicating Analyses}{104}{section.10.7}}
+\newlabel{ss:repl}{{10.7}{104}{{\tt repl}: Replicating Analyses\relax }{section.10.7}{}}
+\@setckpt{commandsRd/repl}{
+\setcounter{page}{106}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{0}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{10}
+\setcounter{section}{7}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{8}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{7}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/repl.tex b/inst/doc/commandsRd/repl.tex
new file mode 100644
index 0000000..cddfe5d
--- /dev/null
+++ b/inst/doc/commandsRd/repl.tex
@@ -0,0 +1,89 @@
+\section{{\tt repl}: Replicating Analyses}\label{ss:repl}
+\methaliasA{repl.default}{repl}{repl.default}
+\methaliasA{repl.zelig}{repl}{repl.zelig}
+\keyword{file}{repl}
+\begin{Description}\relax
+The generic function \code{repl} command takes 
+\code{\LinkA{zelig}{zelig}} or
+\code{\LinkA{sim}{sim}} output objects and replicates (literally, re-runs)
+the entire analysis.  The results should be an output 
+object
+identical to the original input object in the case of
+\code{\LinkA{zelig}{zelig}} output.  In the case of \code{\LinkA{sim}{sim}}
+output, the replicated analyses may differ slightly due to
+stochastic randomness in the simulation procedure.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+repl(object, data, ...)
+## Default S3 method:
+repl(object, data = NULL, ...)
+## S3 method for class 'zelig':
+repl(object, data = NULL, prev = NULL, x = NULL, x1 = NULL,
+     bootfn = NULL, ...) 
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] Stored output from either \code{\LinkA{zelig}{zelig}} or
+\code{\LinkA{sim}{sim}}.
+\item[\code{data}] You may manually input the data frame name rather
+than allowing \code{repl} to draw the data frame name from the object
+to be replicated.
+\item[\code{prev}] When replicating \code{\LinkA{sim}{sim}} output, you may
+optionally use the previously simulated parameters to calculate the
+quantities of interest rather than simulating a new set of
+parameters.  For all models, this should produce identical
+quantities of interest.  In addition, for if the parameters were
+bootstrapped in the original analysis, this will save a considerable
+amount of time. 
+\item[\code{x}] When replicating \code{\LinkA{sim}{sim}} output, you may
+optionally use an alternative \code{\LinkA{setx}{setx}} value for the \code{x}
+input. 
+\item[\code{x1}] When replicating \code{\LinkA{sim}{sim}} output, you may
+optionally use an alternative \code{\LinkA{setx}{setx}} object for the \code{x1}
+input to replicating the \code{\LinkA{sim}{sim}} object. 
+\item[\code{bootfn}] When replicating \code{\LinkA{sim}{sim}} output with
+bootstrapped parameters, you should manually specify the
+\code{bootfn} if a non-default option was used.  
+\item[\code{...}] Additional arguments passed to either \code{\LinkA{zelig}{zelig}} or 
+\code{\LinkA{sim}{sim}}.  
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+For \code{\LinkA{zelig}{zelig}} output, \code{repl} will create output that is in
+every way identical to the original input.  You may check to see
+whether they are identical by using the \code{identical} command.  
+
+For \code{\LinkA{sim}{sim}} output, \code{repl} output will be will be
+identical to the original object if you choose not to simulate new
+parameters, and instead choose to calculate quantities of interest
+using the previously simulated parameters (using the \code{prev}
+option.  If you choose to simulate new parameters, the summary
+statistics for each quantity of interest should be identical, up to a
+random approximation error.  As the number of simulations increases,
+this error decreases.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{zelig}{zelig}}, \code{\LinkA{setx}{setx}}, and
+\code{\LinkA{sim}{sim}}.  In addition, the full Zelig manual may be
+accessed online at \url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+data(turnout)
+z.out <- zelig(vote ~ race + educate, model = "logit", data = turnout[1:1000,])
+x.out <- setx(z.out)
+s.out <- sim(z.out, x = x.out)
+z.rep <- repl(z.out)
+identical(z.out$coef, z.rep$coef)
+z.alt <- repl(z.out, data = turnout[1001:2000,])
+s.rep <- repl(s.out, prev = s.out$par)
+identical(s.out$ev, s.rep$ev)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/rocplot.aux b/inst/doc/commandsRd/rocplot.aux
new file mode 100644
index 0000000..1e5aa03
--- /dev/null
+++ b/inst/doc/commandsRd/rocplot.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {11.5}{\tt  rocplot}: Receiver Operator Characteristic Plots}{118}{section.11.5}}
+\newlabel{ss:rocplot}{{11.5}{118}{{\tt rocplot}: Receiver Operator Characteristic Plots\relax }{section.11.5}{}}
+\@setckpt{commandsRd/rocplot}{
+\setcounter{page}{120}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{2}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{11}
+\setcounter{section}{5}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{10}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{7}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/rocplot.tex b/inst/doc/commandsRd/rocplot.tex
new file mode 100644
index 0000000..f933f24
--- /dev/null
+++ b/inst/doc/commandsRd/rocplot.tex
@@ -0,0 +1,87 @@
+\section{{\tt rocplot}: Receiver Operator Characteristic Plots}\label{ss:rocplot}
+\aliasA{ROC}{rocplot}{ROC}
+\aliasA{roc}{rocplot}{roc}
+\aliasA{ROCplot}{rocplot}{ROCplot}
+\keyword{file}{rocplot}
+\begin{Description}\relax
+The \code{rocplot} command generates a receiver operator
+characteristic plot to compare the in-sample (default) or out-of-sample
+fit for two logit or probit regressions.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+rocplot(y1, y2, fitted1, fitted2, cutoff = seq(from=0, to=1, length=100), 
+        lty1 = "solid", lty2 = "dashed", lwd1 = par("lwd"), lwd2 = par("lwd"),
+        col1 = par("col"), col2 = par("col"), main, xlab, ylab,
+        plot = TRUE, ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{y1}] Response variable for the first model.
+\item[\code{y2}] Response variable for the second model.
+\item[\code{fitted1}] Fitted values for the first model.  These values
+may represent either the in-sample or out-of-sample fitted values.
+\item[\code{fitted2}] Fitted values for the second model.
+\item[\code{cutoff}] A vector of cut-off values between 0 and 1, at
+which to evaluate the proportion of 0s and 1s correctly predicted by
+the first and second model.  By default, this is 100 increments
+between 0 and 1, inclusive.
+\item[\code{lty1, lty2}] The line type for the first model (\code{lty1}) and
+the second model (\code{lty2}), defaulting to solid and dashed,
+respectively.
+\item[\code{lwd1, lwd2}] The width of the line for the first model
+(\code{lwd1}) and the second model (\code{lwd2}), defaulting to 1 for both.
+\item[\code{col1, col2}] The colors of the line for the first
+model (\code{col1}) and the second model (\code{col2}), defaulting to
+black for both.
+\item[\code{main}] a title for the plot.  Defaults to \code{ROC Curve}.
+\item[\code{xlab}] a label for the x-axis.  Defaults to \code{Proportion of 1's 
+    Correctly Predicted}.
+\item[\code{ylab}] a label for the y-axis.  Defaults to \code{Proportion of 0's 
+    Correctly Predicted}.
+\item[\code{plot}] defaults to \code{TRUE}, which generates a plot to the
+selected device.  If \code{FALSE}, returns a list of
+items (see below).
+\item[\code{...}] Additional parameters passed to plot, including
+\code{xlab}, \code{ylab}, and \code{main}.  
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+If \code{plot = TRUE}, \code{rocplot} generates an ROC plot for
+two logit or probit models.  If \code{plot = FALSE}, \code{rocplot}
+returns a list with the following elements: normal-bracket63bracket-normal
+\begin{ldescription}
+\item[\code{roc1}] a matrix containing a vector of x-coordinates and
+y-coordinates corresponding to the number of ones and zeros correctly
+predicted for the first model.
+\item[\code{roc2}] a matrix containing a vector of x-coordinates and
+y-coordinates corresponding to the number of ones and zeros correctly
+predicted for the second model.
+\item[\code{area1}] the area under the first ROC curve, calculated using
+Reimann sums.
+\item[\code{area2}] the area under the second ROC curve, calculated using
+Reimann sums.
+\end{ldescription}
+
+normal-bracket63bracket-normal
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual (available at
+\url{http://gking.harvard.edu/zelig}), \code{plot}, \code{lines}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+data(turnout)
+z.out1 <- zelig(vote ~ race + educate + age, model = "logit", 
+  data = turnout)
+z.out2 <- zelig(vote ~ race + educate, model = "logit", 
+  data = turnout)
+rocplot(z.out1$y, z.out2$y, fitted(z.out1), fitted(z.out2))
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/sanction.tex b/inst/doc/commandsRd/sanction.tex
new file mode 100644
index 0000000..7aec455
--- /dev/null
+++ b/inst/doc/commandsRd/sanction.tex
@@ -0,0 +1,24 @@
+\section{{\tt sanction}: Multilateral Economic Sanctions}\label{ss:sanction}
+\keyword{datasets}{sanction}
+\begin{Description}\relax
+Data on bilateral sanctions behavior for selected years during the
+general period 1939-1983.  This data contains errors that have since
+been corrected.  Please contact Lisa Martin before using this data for
+publication.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(sanction)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 8 variables ("mil", "coop", "target",
+"import", "export", "cost", "num", and "ncost") and 78 observations.
+For full variable description, see Martin, 1992.
+\end{Format}
+\begin{Source}\relax
+Martin, 1992
+\end{Source}
+\begin{References}\relax
+Martin, Lisa (1992).  \emph{Coercive Cooperation: Explaining Multilateral
+Economic Sanctions}, Princeton: Princeton University Press.
+\end{References}
+
diff --git a/inst/doc/commandsRd/set.start.tex b/inst/doc/commandsRd/set.start.tex
new file mode 100644
index 0000000..a81b9dd
--- /dev/null
+++ b/inst/doc/commandsRd/set.start.tex
@@ -0,0 +1,42 @@
+\section{{\tt set.start}: Set starting values for all parameters}\label{ss:set.start}
+\keyword{utilities}{set.start}
+\begin{Description}\relax
+After using \code{\LinkA{parse.par}{parse.par}} and \code{\LinkA{model.matrix.multiple}{model.matrix.multiple}}, use 
+\code{set.start} to set starting values for all parameters.  By default, starting values are set to 0.  If 
+you wish to select alternative starting values for certain parameters, use \code{\LinkA{put.start}{put.start}} after 
+\code{set.start}.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+set.start(start.val = NULL, terms)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{start.val}] user-specified starting values.  If \code{NULL} (default), the default 
+starting values for all parameters are set to 0.
+\item[\code{terms}] the terms output from \code{\LinkA{model.frame.multiple}{model.frame.multiple}}
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+A named vector of starting values for all parameters specified in \code{terms}, defaulting to 0.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
+<\email{falimadhi at iq.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{put.start}{put.start}}, \code{\LinkA{parse.par}{parse.par}}, \code{\LinkA{model.frame.multiple}{model.frame.multiple}}, and the 
+full Zelig manual at \url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+## Not run: 
+fml <- parse.formula(formula, model = "bivariate.probit")
+D <- model.frame(fml, data = data)
+terms <- attr(D, "terms")
+start.val <- set.start(start.val = NULL, terms)
+## End(Not run)\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commands/setx.aux b/inst/doc/commandsRd/setx.aux
similarity index 50%
rename from inst/doc/commands/setx.aux
rename to inst/doc/commandsRd/setx.aux
index a30fcef..56c1ac2 100644
--- a/inst/doc/commands/setx.aux
+++ b/inst/doc/commandsRd/setx.aux
@@ -1,18 +1,7 @@
 \relax 
 \@writefile{toc}{\contentsline {section}{\numberline {10.2}{\tt  setx}: Setting Explanatory Variable Values}{93}{section.10.2}}
 \newlabel{ss:setx}{{10.2}{93}{{\tt setx}: Setting Explanatory Variable Values\relax }{section.10.2}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{93}{section*.40}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{93}{section*.41}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{93}{section*.42}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{94}{section*.43}}
-\@writefile{toc}{\contentsline {subsubsection}{Example: Unconditional Prediction}{94}{section*.44}}
-\@writefile{toc}{\contentsline {subsubsection}{Example: Conditional Prediction With MatchIt Data}{94}{section*.45}}
-\citation{KinTomWit00}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{Example: Conditional Prediction With Multiple Analyses}{95}{section*.46}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{95}{section*.47}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{95}{section*.48}}
-\@setckpt{commands/setx}{
+\@setckpt{commandsRd/setx}{
 \setcounter{page}{96}
 \setcounter{equation}{0}
 \setcounter{enumi}{4}
@@ -30,6 +19,9 @@
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
 \setcounter{NAT at ctr}{0}
 \setcounter{parentequation}{0}
 \setcounter{Item}{216}
@@ -38,9 +30,9 @@
 \setcounter{lchapter}{0}
 \setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
+\setcounter{lsubsubsection}{7}
 \setcounter{lparagraph}{0}
 \setcounter{lsubparagraph}{0}
 \setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
+\setcounter{section at level}{1}
 }
diff --git a/inst/doc/commandsRd/setx.tex b/inst/doc/commandsRd/setx.tex
new file mode 100644
index 0000000..c729e8b
--- /dev/null
+++ b/inst/doc/commandsRd/setx.tex
@@ -0,0 +1,113 @@
+\section{{\tt setx}: Setting Explanatory Variable Values}\label{ss:setx}
+\keyword{file}{setx}
+\begin{Description}\relax
+The \code{setx} command uses the variables identified in
+the \code{formula} generated by \code{zelig} and sets the values of
+the explanatory variables to the selected values.  Use \code{setx}
+after \code{zelig} and before \code{sim} to simulate quantities of
+interest.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+x.out <- setx(object, fn = list(numeric = mean, ordered = median, 
+                                others = mode), 
+              data = NULL, cond = FALSE, ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] the saved output from \code{\LinkA{zelig}{zelig}}. 
+\item[\code{fn}] a list of functions to apply to three types of variables:
+\item[numeric] \code{numeric} variables are set to their mean by
+default, but you may select any mathematical function to apply to
+numeric variables.
+\item[ordered] \code{ordered} factors are set to their meidan by
+default, and most mathematical operations will work on them.  If
+you select \code{ordered = mean}, however, \code{setx} will
+default to median with a warning.
+\item[other] variables may consist of unordered factors, character
+strings, or logical variables.  The \code{other} variables may
+only be set to their mode.  If you wish to set one of the other
+variables to a specific value, you may do so using \code{...}
+below. 
+In the special case \code{fn = NULL}, \code{setx} will return all
+of the observations without applying any function to the data.  
+\item[\code{data}] a new data frame used to set the values of
+explanatory variables. If \code{data = NULL} (the default), the
+data frame called in \code{zelig} is used. 
+\item[\code{cond}] a logical value indicating whether unconditional
+(default) or conditional (choose \code{cond = TRUE}) prediction
+should be performed.  If you choose \code{cond = TRUE}, \code{setx}
+will coerce \code{fn = NULL} and ignore the additional arguments in 
+\code{...}.  If \code{cond = TRUE} and \code{data = NULL},
+\code{setx} will prompt you for a data frame.  
+\item[\code{...}] user-defined values of specific variables
+overwriting the default values set by the function \code{fn}.  For
+example, adding \code{var1 = mean(data\$var1)} or \code{x1 = 12}
+explicitly sets the value of \code{x1} to 12.  In addition, you may
+specify one explanatory variable as a range of values, creating one
+observation for every unique value in the range of values. 
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+For unconditional prediction, \code{x.out} is a model matrix based
+on the specified values for the explanatory variables.  For multiple
+analyses (i.e., when choosing the \code{by} option in \code{\LinkA{zelig}{zelig}},
+\code{setx} returns the selected values calculated over the entire
+data frame.  If you wish to calculate values over just one subset of
+the data frame, the 5th subset for example, you may use:  
+\code{x.out <- setx(z.out[[5]])}
+
+For conditional prediction, \code{x.out} includes the model matrix
+and the dependent variables.  For multiple analyses (when choosing
+the \code{by} option in \code{zelig}), \code{setx} returns the
+observed explanatory variables in each subset.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual may be accessed online at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+# Unconditional prediction:
+data(turnout)
+z.out <- zelig(vote ~ race + educate, model = "logit", data = turnout)
+x.out <- setx(z.out)
+s.out <- sim(z.out, x = x.out)
+
+# Unconditional prediction with all observations:
+x.out <- setx(z.out, fn = NULL)
+s.out <- sim(z.out, x = x.out)
+
+# Unconditional prediction with out of sample data:
+z.out <- zelig(vote ~ race + educate, model = "logit",
+               data = turnout[1:1000,])
+x.out <- setx(z.out, data = turnout[1001:2000,])
+s.out <- sim(z.out, x = x.out)
+
+# Using a user-defined function in fn:
+## Not run: 
+quants <- function(x)
+  quantile(x, 0.25)
+x.out <- setx(z.out, fn = list(numeric = quants))
+## End(Not run)
+
+# Conditional prediction:  
+## Not run: 
+library(MatchIt)
+data(lalonde)
+match.out <- matchit(treat ~ age + educ + black + hispan + married + 
+                     nodegree + re74 + re75, data = lalonde)
+z.out <- zelig(re78 ~ distance, data = match.data(match.out, "control"), 
+               model = "ls")
+x.out <- setx(z.out, fn = NULL, data = match.data(match.out, "treat"),
+              cond = TRUE)
+s.out <- sim(z.out, x = x.out)
+## End(Not run)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/sim.aux b/inst/doc/commandsRd/sim.aux
new file mode 100644
index 0000000..1db6466
--- /dev/null
+++ b/inst/doc/commandsRd/sim.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {10.4}{\tt  sim}: Simulating Quantities of Interest}{99}{section.10.4}}
+\newlabel{ss:sim}{{10.4}{99}{{\tt sim}: Simulating Quantities of Interest\relax }{section.10.4}{}}
+\@setckpt{commandsRd/sim}{
+\setcounter{page}{102}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{0}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{10}
+\setcounter{section}{4}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{8}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{6}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/sim.tex b/inst/doc/commandsRd/sim.tex
new file mode 100644
index 0000000..8fe7036
--- /dev/null
+++ b/inst/doc/commandsRd/sim.tex
@@ -0,0 +1,132 @@
+\section{{\tt sim}: Simulating Quantities of Interest}\label{ss:sim}
+\keyword{file}{sim}
+\begin{Description}\relax
+Simulate quantities of interest from the estimated model
+output from \code{zelig()} given specified values of explanatory
+variables established in \code{setx()}.  For classical \emph{maximum
+likelihood} models, \code{sim()} uses asymptotic normal
+approximation to the log-likelihood.  For \emph{Bayesian models},
+Zelig simulates quantities of interest from the posterior density,
+whenever possible.  For \emph{robust Bayesian models}, simulations
+are drawn from the identified class of Bayesian posteriors.
+Alternatively, you may generate quantities of interest using
+bootstrapped parameters.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+s.out <- sim(object, x, x1 = NULL, num = c(1000, 100), prev = NULL, 
+             bootstrap = FALSE,  bootfn = NULL, ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] the output object from \code{\LinkA{zelig}{zelig}}. 
+\item[\code{x}] values of explanatory variables used for simulation,
+generated by \code{\LinkA{setx}{setx}}.  
+\item[\code{x1}] optional values of explanatory variables (generated by a
+second call of \code{\LinkA{setx}{setx}}), used to simulate first
+differences and risk ratios.  (Not available for conditional
+prediction.) 
+\item[\code{num}] the number of simulations, i.e., posterior draws.  If the
+\code{num} argument is omitted, \code{sim} draws 1,000
+simulations by if \code{bootstrap = FALSE} (the default), or 100
+simulations if \code{bootstrap = TRUE}.  You may increase this
+value to improve accuracy.  (Not available for conditional
+prediction.) 
+\item[\code{bootstrap}] a logical value indicating if parameters
+should be generated by re-fitting the model for bootstrapped
+data, rather than from the likelihood or posterior.  (Not
+available for conditional prediction.) 
+\item[\code{bootfn}] a function which governs how the data is
+sampled, re-fits the model, and returns the bootstrapped model
+parameters.  If \code{bootstrap = TRUE} and \code{bootfn = NULL},
+\code{\LinkA{sim}{sim}} will sample observations from the original data
+(with
+replacement) until it creates a sampled dataset with the same
+number of observations as the original data.  Alternative
+bootstrap methods include sampling the residuals rather than the
+observations, weighted sampling, and parametric bootstrapping.
+(Not available for conditional prediction.) 
+\item[\code{...}] additional optional arguments passed to
+\code{boot}. 
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The output stored in \code{s.out} varies by model.  Use the
+\code{names} command to view the output stored in \code{s.out}.
+Common elements include:  normal-bracket109bracket-normal
+\begin{ldescription}
+\item[\code{x}] the \code{\LinkA{setx}{setx}} values for the explanatory variables,
+used to calculate the quantities of interest (expected values,
+predicted values, etc.). 
+\item[\code{x1}] the optional \code{\LinkA{setx}{setx}} object used to simulate
+first differences, and other model-specific quantities of
+interest, such as risk-ratios.
+\item[\code{call}] the options selected for \code{\LinkA{sim}{sim}}, used to
+replicate quantities of interest. 
+\item[\code{zelig.call}] the original command and options for
+\code{\LinkA{zelig}{zelig}}, used to replicate analyses. 
+\item[\code{num}] the number of simulations requested. 
+\item[\code{par}] the parameters (coefficients, and additional
+model-specific parameters).  You may wish to use the same set of
+simulated parameters to calculate quantities of interest rather
+than simulating another set.
+\item[\code{qi\$ev}] simulations of the expected values given the
+model and \code{x}. 
+\item[\code{qi\$pr}] simulations of the predicted values given by the
+fitted values. 
+\item[\code{qi\$fd}] simulations of the first differences (or risk
+difference for binary models) for the given \code{x} and \code{x1}.
+The difference is calculated by subtracting the expected values
+given \code{x} from the expected values given \code{x1}.  (If do not
+specify \code{x1}, you will not get first differences or risk
+ratios.) 
+\item[\code{qi\$rr}] simulations of the risk ratios for binary and
+multinomial models.  See specific models for details.
+\item[\code{qi\$ate.ev}] simulations of the average expected
+treatment effect for the treatment group, using conditional
+prediction. Let \eqn{t_i}{} be a binary explanatory variable defining
+the treatment (\eqn{t_i=1}{}) and control (\eqn{t_i=0}{}) groups.  Then the
+average expected treatment effect for the treatment group is
+\deqn{ \frac{1}{n}\sum_{i=1}^n [ \, Y_i(t_i=1) -
+E[Y_i(t_i=0)] \mid t_i=1 \,],}{} 
+where \eqn{Y_i(t_i=1)}{} is the value of the dependent variable for
+observation \eqn{i}{} in the treatment group.  Variation in the
+simulations are due to uncertainty in simulating \eqn{E[Y_i(t_i=0)]}{},
+the counterfactual expected value of \eqn{Y_i}{} for observations in the
+treatment group, under the assumption that everything stays the
+same except that the treatment indicator is switched to \eqn{t_i=0}{}. 
+\item[\code{qi\$ate.pr}] simulations of the average predicted
+treatment effect for the treatment group, using conditional
+prediction. Let \eqn{t_i}{} be a binary explanatory variable defining
+the treatment (\eqn{t_i=1}{}) and control (\eqn{t_i=0}{}) groups.  Then the
+average predicted treatment effect for the treatment group is
+\deqn{ \frac{1}{n}\sum_{i=1}^n [ \, Y_i(t_i=1) -
+\widehat{Y_i(t_i=0)} \mid t_i=1 \,],}{} 
+where \eqn{Y_i(t_i=1)}{} is the value of the dependent variable for
+observation \eqn{i}{} in the treatment group.  Variation in the
+simulations are due to uncertainty in simulating
+\eqn{\widehat{Y_i(t_i=0)}}{}, the counterfactual predicted value of
+\eqn{Y_i}{} for observations in the treatment group, under the
+assumption that everything stays the same except that the
+treatment indicator is switched to \eqn{t_i=0}{}. 
+\end{ldescription}
+
+normal-bracket109bracket-normal
+
+In the case of censored $Y$ in the exponential, Weibull, and lognormal
+models, \code{sim} first imputes the uncensored values for $Y$ before
+calculating the ATE.  
+
+You may use the \code{\$} operator to extract any of the
+above from \code{s.out}.  For example, \code{s.out\$qi\$ev} extracts the
+simulated expected values.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig at \url{http://gking.harvard.edu/zelig}, and \code{boot}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/sna.ex.tex b/inst/doc/commandsRd/sna.ex.tex
new file mode 100644
index 0000000..2ccc739
--- /dev/null
+++ b/inst/doc/commandsRd/sna.ex.tex
@@ -0,0 +1,15 @@
+\section{{\tt sna.ex}: Simulated Example of Social Network Data}\label{ss:sna.ex}
+\keyword{datasets}{sna.ex}
+\begin{Description}\relax
+This data set contains five sociomatrices of simulated data social network data.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(sna.ex)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+Each variable in the dataset is a 25 by 25 matrix of simulated social network data. The matrices are labeled "Var1", "Var2", "Var3", "Var4", and "Var5".
+\end{Format}
+\begin{Source}\relax
+fictitious
+\end{Source}
+
diff --git a/inst/doc/acknowledgments.aux b/inst/doc/commandsRd/summary.aux
similarity index 51%
rename from inst/doc/acknowledgments.aux
rename to inst/doc/commandsRd/summary.aux
index 5214eec..7db5746 100644
--- a/inst/doc/acknowledgments.aux
+++ b/inst/doc/commandsRd/summary.aux
@@ -1,33 +1,36 @@
 \relax 
-\@setckpt{acknowledgments}{
-\setcounter{page}{7}
+\@setckpt{commandsRd/summary}{
+\setcounter{page}{102}
 \setcounter{equation}{0}
-\setcounter{enumi}{0}
-\setcounter{enumii}{0}
-\setcounter{enumiii}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
 \setcounter{enumiv}{0}
 \setcounter{footnote}{0}
 \setcounter{mpfootnote}{0}
-\setcounter{part}{0}
-\setcounter{chapter}{0}
-\setcounter{section}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{10}
+\setcounter{section}{4}
 \setcounter{subsection}{0}
 \setcounter{subsubsection}{0}
 \setcounter{paragraph}{0}
 \setcounter{subparagraph}{0}
 \setcounter{figure}{0}
 \setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
 \setcounter{NAT at ctr}{0}
 \setcounter{parentequation}{0}
-\setcounter{Item}{0}
-\setcounter{Hfootnote}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{8}
 \setcounter{lpart}{0}
-\setcounter{lchapter}{1}
-\setcounter{lsection}{1}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
 \setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
+\setcounter{lsubsubsection}{6}
 \setcounter{lparagraph}{0}
 \setcounter{lsubparagraph}{0}
 \setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{0}
+\setcounter{section at level}{1}
 }
diff --git a/inst/doc/commandsRd/summary.zelig.tex b/inst/doc/commandsRd/summary.zelig.tex
new file mode 100644
index 0000000..949f5cb
--- /dev/null
+++ b/inst/doc/commandsRd/summary.zelig.tex
@@ -0,0 +1,51 @@
+\section{{\tt summary.zelig}: Summary of Simulated Quantities of Interest}\label{ss:summary.zelig}
+\aliasA{summary}{summary.zelig}{summary}
+\keyword{file}{summary.zelig}
+\begin{Description}\relax
+Summarizes the object of class \code{\LinkA{zelig}{zelig}} (output
+from \code{\LinkA{sim}{sim}}) which contains simulated quantities of
+interst.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+## S3 method for class 'zelig':
+summary(object, subset = NULL, CI = 95, stats = c("mean", "sd"), ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] output object from \code{\LinkA{sim}{sim}} (of class
+\code{"zelig"}).
+\item[\code{subset}] takes one of three values:
+\item[NULL] (default) for more than one observation, summarizes all the
+observations at once for each quantity of interest.
+\item[a numeric vector] indicates which observations to summarize,
+and summarizes each one independently.
+\item[all] summarizes all the observations independently.
+
+\item[\code{stats}] summary statistics to be calculated.
+\item[\code{CI}] a confidence interval to be calculated.
+\item[\code{...}] further arguments passed to or from other methods.
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+\begin{ldescription}
+\item[\code{sim}] number of simulations, i.e., posterior draws.
+\item[\code{x}] values of explanatory variables used for simulation.
+\item[\code{x1}] values of explanatory variables used for simulation of first
+differences etc.
+\item[\code{qi.stats}] summary of quantities of interst.  Use
+\code{\LinkA{names}{names}} to view the model-specific items available in
+\code{qi.stats}.
+\end{ldescription}
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{\LinkA{zelig}{zelig}}, \code{\LinkA{setx}{setx}}, \code{\LinkA{sim}{sim}},
+and \code{\LinkA{names}{names}}, and the full Zelig manual at
+\url{http://gking.harvard.edu/zelig}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/swiss.tex b/inst/doc/commandsRd/swiss.tex
new file mode 100644
index 0000000..0cbf5f7
--- /dev/null
+++ b/inst/doc/commandsRd/swiss.tex
@@ -0,0 +1,40 @@
+\section{{\tt swiss}: Swiss Fertility and Socioeconomic Indicators (1888) Data}\label{ss:swiss}
+\keyword{datasets}{swiss}
+\begin{Description}\relax
+Standardized fertility measure and socio-economic indicators for
+each of 47 French-speaking provinces of Switzerland at about 1888.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(swiss)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A data frame with 47 observations on 6 variables, each of which
+is in percent, i.e., in [0,100].
+
+[,1]  Fertility         Ig, "common standardized fertility measure"
+[,2]  Agriculture       
+[,3]  Examination       
+nation
+[,4]  Education         
+[,5]  Catholic          
+[,6]  Infant.Mortality  live births who live less than 1 year.
+
+All variables but 'Fert' give proportions of the population.
+\end{Format}
+\begin{Source}\relax
+Project "16P5", pages 549-551 in
+
+Mosteller, F. and Tukey, J. W. (1977) ``Data Analysis and
+Regression: A Second Course in Statistics''. Addison-Wesley,
+Reading Mass.
+
+indicating their source as "Data used by permission of Franice van
+de Walle. Office of Population Research, Princeton University,
+1976.  Unpublished data assembled under NICHD contract number No
+1-HD-O-2077."
+\end{Source}
+\begin{References}\relax
+Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) ``The New S
+Language''. Wadsworth \& Brooks/Cole.
+\end{References}
+
diff --git a/inst/doc/commandsRd/ternaryplot.aux b/inst/doc/commandsRd/ternaryplot.aux
new file mode 100644
index 0000000..e9e929b
--- /dev/null
+++ b/inst/doc/commandsRd/ternaryplot.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {11.6}{\tt  ternaryplot}: Ternary diagram}{120}{section.11.6}}
+\newlabel{ss:ternaryplot}{{11.6}{120}{{\tt ternaryplot}: Ternary diagram\relax }{section.11.6}{}}
+\@setckpt{commandsRd/ternaryplot}{
+\setcounter{page}{122}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{2}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{11}
+\setcounter{section}{6}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{10}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{8}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/ternaryplot.tex b/inst/doc/commandsRd/ternaryplot.tex
new file mode 100644
index 0000000..c525fe0
--- /dev/null
+++ b/inst/doc/commandsRd/ternaryplot.tex
@@ -0,0 +1,77 @@
+\section{{\tt ternaryplot}: Ternary diagram}\label{ss:ternaryplot}
+\keyword{hplot}{ternaryplot}
+\begin{Description}\relax
+Visualizes compositional, 3-dimensional data in an equilateral triangle  
+(from the vcd library, Version 0.1-3.3, Date 2004-04-21), using plot graphics.  
+Differs from implementation in vcd (0.9-7), which uses grid graphics.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+ternaryplot(x, scale = 1, dimnames = NULL, dimnames.position = c("corner","edge","none"),
+            dimnames.color = "black", id = NULL, id.color = "black", coordinates = FALSE,
+            grid = TRUE, grid.color = "gray", labels = c("inside", "outside", "none"),
+            labels.color = "darkgray", border = "black", bg = "white", pch = 19, cex = 1,
+            prop.size = FALSE, col = "red", main = "ternary plot", ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{x}] a matrix with three columns.
+\item[\code{scale}] row sums scale to be used.
+\item[\code{dimnames}] dimension labels (defaults to the column names of
+\code{x}).
+\item[\code{dimnames.position, dimnames.color}] position and color of dimension labels.
+\item[\code{id}] optional labels to be plotted below the plot
+symbols. \code{coordinates} and \code{id} are mutual exclusive.
+\item[\code{id.color}] color of these labels.
+\item[\code{coordinates}] if \code{TRUE}, the coordinates of the points are
+plotted below them. \code{coordinates} and \code{id} are mutual exclusive.
+\item[\code{grid}] if \code{TRUE}, a grid is plotted. May optionally
+be a string indicating the line type (default: \code{"dotted"}).
+\item[\code{grid.color}] grid color.
+\item[\code{labels, labels.color}] position and color of the grid labels.
+\item[\code{border}] color of the triangle border.
+\item[\code{bg}] triangle background.
+\item[\code{pch}] plotting character. Defaults to filled dots.
+\item[\code{cex}] a numerical value giving the amount by which plotting text
+and symbols should be scaled relative to the default. Ignored for
+the symbol size if \code{prop.size} is not \code{FALSE}.
+\item[\code{prop.size}] if \code{TRUE}, the symbol size is plotted
+proportional to the row sum of the three variables, i.e. represents
+the weight of the observation.
+\item[\code{col}] plotting color.
+\item[\code{main}] main title.
+\item[\code{...}] additional graphics parameters (see \code{par})
+\end{ldescription}
+\end{Arguments}
+\begin{Details}\relax
+A points' coordinates are found by computing the gravity center
+of mass points using the data entries as weights. Thus, the coordinates
+of a point P(a,b,c), \eqn{a + b + c = 1}{}, are: P(b + c/2, c * sqrt(3)/2).
+\end{Details}
+\begin{Author}\relax
+David Meyer\\
+\email{david.meyer at ci.tuwien.ac.at}
+\end{Author}
+\begin{References}\relax
+M. Friendly (2000),
+\emph{Visualizing Categorical Data}. SAS Institute, Cary, NC.
+\end{References}
+\begin{SeeAlso}\relax
+\code{\LinkA{ternarypoints}{ternarypoints}}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+data(mexico)
+if (require(VGAM)) { 
+z.out <- zelig(as.factor(vote88) ~ pristr + othcok + othsocok, 
+                model = "mlogit", data = mexico)
+x.out <- setx(z.out)
+s.out <- sim(z.out, x = x.out)
+
+ternaryplot(s.out$qi$ev, pch = ".", col = "blue",
+            main = "1988 Mexican Presidential Election")
+}
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/ternarypoints.aux b/inst/doc/commandsRd/ternarypoints.aux
new file mode 100644
index 0000000..a3e8393
--- /dev/null
+++ b/inst/doc/commandsRd/ternarypoints.aux
@@ -0,0 +1,38 @@
+\relax 
+\@writefile{toc}{\contentsline {section}{\numberline {11.7}{\tt  ternarypoints}: Adding Points to Ternary Diagrams}{122}{section.11.7}}
+\newlabel{ss:ternarypoints}{{11.7}{122}{{\tt ternarypoints}: Adding Points to Ternary Diagrams\relax }{section.11.7}{}}
+\@setckpt{commandsRd/ternarypoints}{
+\setcounter{page}{123}
+\setcounter{equation}{0}
+\setcounter{enumi}{4}
+\setcounter{enumii}{3}
+\setcounter{enumiii}{2}
+\setcounter{enumiv}{0}
+\setcounter{footnote}{2}
+\setcounter{mpfootnote}{0}
+\setcounter{part}{3}
+\setcounter{chapter}{11}
+\setcounter{section}{7}
+\setcounter{subsection}{0}
+\setcounter{subsubsection}{0}
+\setcounter{paragraph}{0}
+\setcounter{subparagraph}{0}
+\setcounter{figure}{0}
+\setcounter{table}{0}
+\setcounter{LT at tables}{0}
+\setcounter{LT at chunks}{0}
+\setcounter{FancyVerbLine}{0}
+\setcounter{NAT at ctr}{0}
+\setcounter{parentequation}{0}
+\setcounter{Item}{216}
+\setcounter{Hfootnote}{10}
+\setcounter{lpart}{0}
+\setcounter{lchapter}{0}
+\setcounter{lsection}{0}
+\setcounter{lsubsection}{0}
+\setcounter{lsubsubsection}{6}
+\setcounter{lparagraph}{0}
+\setcounter{lsubparagraph}{0}
+\setcounter{lsubsubparagraph}{0}
+\setcounter{section at level}{1}
+}
diff --git a/inst/doc/commandsRd/ternarypoints.tex b/inst/doc/commandsRd/ternarypoints.tex
new file mode 100644
index 0000000..0ab5675
--- /dev/null
+++ b/inst/doc/commandsRd/ternarypoints.tex
@@ -0,0 +1,39 @@
+\section{{\tt ternarypoints}: Adding Points to Ternary Diagrams}\label{ss:ternarypoints}
+\keyword{aplot}{ternarypoints}
+\begin{Description}\relax
+Use \code{ternarypoints} to add points to a ternary diagram generated
+using the \code{ternaryplot} function in the vcd library.  Use
+ternary diagrams to plot expected values for multinomial choice models
+with three categories in the dependent variable.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+ternarypoints(object, pch = 19, col = "blue", ...)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{object}] The input object must be a matrix with three
+columns. 
+\item[\code{pch}] The selected type of point.  By default, \code{pch =
+    19}, solid disks. 
+\item[\code{col}] The color of the points.  By default, \code{col =
+    "blue"}. 
+\item[\code{...}] Additional parameters passed to \code{points}. 
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+The \code{ternarypoints} command adds points to a previously existing
+ternary diagram.  Use \code{ternaryplot} in the \code{vcd} library to
+generate the main ternary diagram.
+\end{Value}
+\begin{Author}\relax
+Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
+<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+The full Zelig manual at
+\url{http://gking.harvard.edu/zelig}, \code{points}, and
+\code{\LinkA{ternaryplot}{ternaryplot}}.
+\end{SeeAlso}
+
diff --git a/inst/doc/commandsRd/tobin.tex b/inst/doc/commandsRd/tobin.tex
new file mode 100644
index 0000000..ade51e9
--- /dev/null
+++ b/inst/doc/commandsRd/tobin.tex
@@ -0,0 +1,23 @@
+\section{{\tt tobin}: Tobin's Tobit Data}\label{ss:tobin}
+\keyword{datasets}{tobin}
+\begin{Description}\relax
+Economists fit a parametric censored data model called the
+`tobit'. These data are from Tobin's original paper.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(tobin)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A data frame with 20 observations on the following 3 variables.
+
+durable: Durable goods purchase
+
+age: Age in years
+
+quant: Liquidity ratio (x 1000)
+\end{Format}
+\begin{Source}\relax
+J. Tobin, Estimation of relationships for limited dependent
+variables, Econometrica, v26, 24-36, 1958.
+\end{Source}
+
diff --git a/inst/doc/commandsRd/turnout.tex b/inst/doc/commandsRd/turnout.tex
new file mode 100644
index 0000000..b1ea522
--- /dev/null
+++ b/inst/doc/commandsRd/turnout.tex
@@ -0,0 +1,25 @@
+\section{{\tt turnout}: Turnout Data Set from the National Election Survey}\label{ss:turnout}
+\keyword{datasets}{turnout}
+\begin{Description}\relax
+This data set contains individual-level turnout data. It pools several
+American National Election Surveys conducted during the 1992 presidential
+election year.  Only the first 2,000 observations (from a total of 15,837 
+observations) are included in the sample data.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}data(turnout)\end{verbatim}
+\end{Usage}
+\begin{Format}\relax
+A table containing 5 variables ("race", "age", "educate", 
+"income", and "vote") and 2,000 observations.
+\end{Format}
+\begin{Source}\relax
+National Election Survey
+\end{Source}
+\begin{References}\relax
+King, Gary, Michael Tomz, Jason Wittenberg (2000).
+``Making the Most of Statistical Analyses: Improving Interpretation and 
+Presentation,'' \emph{American Journal of Political Science}, vol. 44,
+pp.341--355.
+\end{References}
+
diff --git a/inst/doc/commandsRd/user.prompt.tex b/inst/doc/commandsRd/user.prompt.tex
new file mode 100644
index 0000000..74c9a56
--- /dev/null
+++ b/inst/doc/commandsRd/user.prompt.tex
@@ -0,0 +1,25 @@
+\section{{\tt user.prompt}: Pause in demo files}\label{ss:user.prompt}
+\keyword{file}{user.prompt}
+\begin{Description}\relax
+Use \code{user.prompt} while writing demo files to force users to hit
+return before continuing.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+user.prompt()
+\end{verbatim}
+\end{Usage}
+\begin{Author}\relax
+Olivia Lau <\email{olau at fas.harvard.edu}>
+\end{Author}
+\begin{SeeAlso}\relax
+\code{readline}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}
+## Not run: 
+user.prompt()
+## End(Not run)
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/commandsRd/zeligVDC.tex b/inst/doc/commandsRd/zeligVDC.tex
new file mode 100644
index 0000000..f21c05b
--- /dev/null
+++ b/inst/doc/commandsRd/zeligVDC.tex
@@ -0,0 +1,62 @@
+\section{{\tt zeligDescribeModelXML}: Zelig interface functions}\label{ss:zeligDescribeModelXML}
+\aliasA{zeligGetSpecial}{zeligDescribeModelXML}{zeligGetSpecial}
+\aliasA{zeligInstalledModels}{zeligDescribeModelXML}{zeligInstalledModels}
+\aliasA{zeligListModels}{zeligDescribeModelXML}{zeligListModels}
+\aliasA{zeligModelDependency}{zeligDescribeModelXML}{zeligModelDependency}
+\keyword{IO}{zeligDescribeModelXML}
+\keyword{print}{zeligDescribeModelXML}
+\begin{Description}\relax
+Zelig interface functions. Used by VDC DSB to  communicate with Zelig.
+\end{Description}
+\begin{Usage}
+\begin{verbatim}
+        zeligDescribeModelXML(modelName,force=FALSE,schemaVersion="1.1")
+        zeligInstalledModels(inZeligOnly=TRUE,schemaVersion="1.1")
+        zeligListModels(inZeligOnly=TRUE) 
+        zeligModelDependency(modelName,repos) 
+        zeligGetSpecial(modelName)
+\end{verbatim}
+\end{Usage}
+\begin{Arguments}
+\begin{ldescription}
+\item[\code{modelName}] Name of model as returned by zeligInstalledModels or zeligListModels.
+\item[\code{inZeligOnly}] Flag, include only models in official Zelig distribution
+\item[\code{repos}] URL of default repository to use
+\item[\code{schemaVersion}] version of Zelig schema
+\item[\code{force}] generate a description even if no custom description supplied
+\end{ldescription}
+\end{Arguments}
+\begin{Value}
+Use zeligInstalledModels and zeligListModels to determine what models are available in zelig
+for a particular schema level. Use zmodel2string(zeligDescribeModel()) to generate an XML
+instance describing a model. Use zeligModelDependencies to generate a list of package
+dependencies for models. Use zeligGetSpecial to get the name special function, if any,
+to apply to the outcome variables. All functions return NULL if results are
+not available for that model.
+\end{Value}
+\begin{Author}\relax
+Micah Altman
+\email{thedata-users\@lists.sourceforge.net}
+\url{http://thedata.org}
+\end{Author}
+\begin{SeeAlso}\relax
+\LinkA{zelig}{zelig}
+\end{SeeAlso}
+\begin{Examples}
+\begin{ExampleCode}## Not run: 
+        # show all available models
+        zeligListModels(inZeligOnly=FALSE)
+        # show installed models
+        zeligInstalledModels()
+        # show dependency for normal.bayes
+        zeligModelDependency("normal.bayes","http://cran.r-project.org/")
+        # description of logit
+        cat(zeligDescribeModelXML("ologit"))
+        # special function for factor analysis
+        zeligGetSpecial("factor.mix")
+## End(Not run)
+
+
+\end{ExampleCode}
+\end{Examples}
+
diff --git a/inst/doc/contributors.tex b/inst/doc/contributors.tex
new file mode 100644
index 0000000..c2830e4
--- /dev/null
+++ b/inst/doc/contributors.tex
@@ -0,0 +1,15 @@
+function is part of the MCMCpack library by Andrew D.
+Martin and Kevin M. Quinn. If you use this model, please cite:
+\begin{verse}
+\bibentry{MarQui05}.
+\end{verse}
+The convergence diagnostics are part of the CODA library
+by Martyn Plummer, Nicky Best, Kate Cowles, and Karen Vines. These diagnostics
+should be cited as: 
+\begin{verse}
+\bibentry{PluBesCowVin05}.
+\end{verse}
+\noindent Sample data are adapted from 
+\begin{verse}
+\bibentry{MarQui05}.
+\end{verse}
diff --git a/inst/doc/contributors2.tex b/inst/doc/contributors2.tex
new file mode 100644
index 0000000..0958836
--- /dev/null
+++ b/inst/doc/contributors2.tex
@@ -0,0 +1,11 @@
+function is part of the MCMCpack library by Andrew D.
+Martin and Kevin M. Quinn. If you use this model, please cite:
+\begin{verse}
+\bibentry{MarQui05}
+\end{verse}
+The convergence diagnostics are part of the CODA library
+by Martyn Plummer, Nicky Best, Kate Cowles, and Karen Vines. These diagnostics
+should be cited as: 
+\begin{verse}
+\bibentry{PluBesCowVin05}
+\end{verse}
diff --git a/inst/doc/ei.RxC.Rnw b/inst/doc/ei.RxC.Rnw
new file mode 100644
index 0000000..2b5f23c
--- /dev/null
+++ b/inst/doc/ei.RxC.Rnw
@@ -0,0 +1,234 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/eiRxC}
+\include{zinput}
+%\VignetteIndexEntry{Hierarchical Multinomial-Dirichlet Ecological Inference Model}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,ecological, many contingency tables, Gibbs sampling}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{\texttt{ei.RxC}: Hierarchical Multinomial-Dirichlet Ecological
+  Inference Model for $R \times C$ Tables}
+\label{eiRxC}
+
+Given $n$ contingency tables, each with observed marginals (column and
+row totals), ecological inference ({\sc ei}) estimates the internal
+cell values in each table.  The hierarchical Multinomial-Dirichlet
+model estimates cell counts in $R \times C$ tables. The model is
+implemented using a nonlinear least squares approximation and, with
+bootstrapping for standard errors, had good frequentist properties.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(T0, T1, T2, T3) ~ X0 + X1, 
+                 covar = NULL, 
+                 model = "eiRxC", data = mydata)
+> x.out <- setx(z.out, fn = NULL)
+> s.out <- sim(z.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+
+\begin{itemize}
+\item \texttt{T0}, \texttt{T1}, \texttt{T2},\ldots, \texttt{TC}:
+  numeric vectors (either counts, or proportions that sum to one for
+  each row) containing the column margins of the units to be analyzed.
+
+\item \texttt{X0}, {\tt X1}, {\tt X2},\ldots,{\tt XR}: numeric vectors
+  (either counts, or proportions that sum to one for each row)
+  containing the row margins of the units to be analyzed.
+
+\item {\tt covar}: (optional) a covariate that varies across tables,
+specified as \verb|covar = ~ Z1|, for example.  (The model only
+accepts one covariate.)
+\end{itemize}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+ \item Basic examples: No covariate \\
+ Attaching the example dataset:
+<<ExampleNoCov.data>>= 
+  data(Weimar)
+@
+Estimating the model:
+<<ExampleNoCov.zelig>>=
+ z.out <- zelig(cbind(Nazi, Government, Communists, FarRight, Other) ~  
+                shareunemployed + shareblue + sharewhite + shareself + 
+                sharedomestic, model = "ei.RxC", data = Weimar)
+ summary(z.out)
+@ 
+
+Setting values for in-sample simulations given marginal values:
+<<ExampleNoCov.setx>>=
+ x.out <- setx(z.out)
+@ 
+
+Estimate fractions of different social groups that support political parties:
+<<ExampleNoCov.sim>>=
+ s.out <- sim(z.out)
+@ 
+
+Summarizing fractions of different social groups that support political parties:
+<<ExampleNoCov.summary>>=
+ summary(s.out)
+@ 
+
+ \item Example of covariates being present in the model \\
+
+ Using the example dataset Weimar and estimating the model
+<<ExampleCov.zelig>>=
+ z.out <- zelig(cbind(Nazi, Government, Communists, FarRight, Other) ~  
+                shareunemployed + shareblue + sharewhite + shareself + 
+                sharedomestic,
+                covar = ~ shareprotestants, 
+                model = "ei.RxC", data = Weimar)
+ summary(z.out)
+@ 
+
+Set the covariate to its default (mean/median) value
+
+<<ExampleCov.setx>>=
+ x.out <- setx(z.out)
+@ 
+
+Estimate fractions of different social groups that support political parties:
+<<ExampleCov.sim>>=
+ s.out <- sim(z.out)
+@ 
+
+Summarizing fractions of different social groups that support political parties:
+<<ExampleCov.summary>>=
+ summary(s.out)
+@ 
+\end{enumerate}
+
+\clearpage
+
+\subsubsection{Model}
+Consider the following $5 \times 5$ contingency table for the voting
+patterns in Weimar Germany.  For each geographical unit $i$ ($i = 1,
+\dots, p$), the marginals $T_{1i}$,\dots, $T_{Ci}$, $X_{1i}$,\dots,
+$X_{Ri}$ are known for each of the $p$ electoral precincts, and we
+would like to estimate ($\beta_i^{rc}, r=1,\dots,R, c=1,\dots,C-1$)
+which are the fractions of people in social class $r$ who vote for
+party $c$, for all $r$ and $c$.
+\begin{table}[!h]
+  \begin{center}
+    \begin{tabular}{l|ccccc|c}
+      & Nazi  & Government & Communists & Far Right & Other         \\
+      \hline
+      Unemployed & $\beta_{11}^{i}$  & $\beta_{12}^{i}$ & $\beta_{13}^{i}$  & $\beta_{14}^{i}$  & $1-\sum_{c=1}^4 \beta_{1c}^i$ & $X_1^i$   \\
+      Blue  & $\beta_{21}^{i}$  & $\beta_{22}^{i}$ & $\beta_{23}^{i}$  & $\beta_{24}^{i}$  & $1-\sum_{c=1}^4 \beta_{2c}^i$ & $X_2^i$   \\
+      White  & $\beta_{31}^{i}$  & $\beta_{32}^{i}$ & $\beta_{33}^{i}$  & $\beta_{34}^{i}$  & $1-\sum_{c=1}^4 \beta_{3c}^i$ & $X_3^i$   \\
+      Self  & $\beta_{41}^{i}$  & $\beta_{42}^{i}$ & $\beta_{43}^{i}$  & $\beta_{44}^{i}$  & $1-\sum_{c=1}^4 \beta_{4c}^i$ & $X_4^i$   \\
+      Domestic  & $\beta_{51}^{i}$  & $\beta_{52}^{i}$ & $\beta_{53}^{i}$  & $\beta_{54}^{i}$  & $1-\sum_{c=1}^4 \beta_{5c}^i$ & $X_5^i$   \\
+      \hline
+      & $T_{1i}$ & $T_{2i}$  & $T_{3i}$      & $T_{4i}$  & $1-\sum_{c=1}^4 \beta_{ci}$
+    \end{tabular}
+  \end{center}
+\end{table}
+
+\noindent 
+The marginal values $X_{1i},\dots,X_{Ri}$, $T_{1i},\dots,T_{Ci}$ may be
+observed as counts or fractions.
+
+Let $T_i^{'}=(T_{1i}^{'},T_{2i}^{'},\dots,T_{Ci}^{'})$ be the number
+of voting age persons who turn out to vote for different parties.
+There are three levels of hierarchy in the 
+Multinomial-Dirichlet {\sc ei} model.  At the first stage, we model
+the data as:
+\begin{itemize}
+
+\item The \emph{stochastic component} is described $T_i^{'}$ which
+follows a multinomial distribution: 
+\begin{eqnarray*}
+T_i^{'} &\sim & \textrm{Multinomial}(\Theta_{1i},\dots,\Theta_{Ci})
+\end{eqnarray*}
+
+\item The \emph{systematic components} are
+\begin{eqnarray*}
+\Theta_{ci}=\sum_{r=1}^{R}\beta_{rc}^{i}X_{ri} & \textrm{for} &  c=1,\dots,C
+\end{eqnarray*}
+
+\end{itemize}
+
+At the second stage, we use an optional covariate to model
+$\Theta_{ci}$'s and $\beta_{qrc}^{i}$: 
+\begin{itemize}
+\item The \emph{stochastic component} is described by
+$\beta_{r}^{i}=(\beta_{r1},\beta_{r2},\dots,\beta_{r,C-1})$ for 
+  $i=1,\dots,,p$ and $r=1,\dots,R$,  which follows a Dirichlet distribution:
+
+  \begin{eqnarray*}
+    \beta_r^{i}  &\sim & \textrm{Dirichlet}(\alpha_{r1}^{i},\dots,\alpha_{rc}^{i})
+  \end{eqnarray*}
+
+\item The \emph{systematic components} are 
+\begin{eqnarray*}
+  \alpha_{rc}^{i}=\frac{d_{r}exp(\gamma_{rc}+\delta_{rc}Z_{i})}{d_r(1+\sum_{j=1}^{C-1}exp(\gamma_{rj}+\delta_{rj}Z_i))} = \frac{exp(\gamma_{rc}+\delta_{rc}Z_i)}{1+\sum_{j=1}^{C-1}exp(\gamma_{rj}+\delta_{rj}Z_i)} 
+\end{eqnarray*}
+for $i=1, \dots,p$, $r=1,\dots,R$, and $c=1, \dots, C-1$.
+
+In the third stage, we assume that the regression parameters (the
+$\gamma_{rc}$'s and $\delta_{rc}$'s) are \emph{a priori} independent,
+and put a flat prior on these regression parameters.  The parameters
+$d_{r}$ for $r=1,\dots,R$ are assumed to follow exponential distributions with
+mean $\frac{1}{\lambda}$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run
+\begin{verbatim}
+> z.out <- zelig(cbind(T0, T1, T2) ~ X0 + X1 + X2, 
+          model = "eiRxC", data = mydata)
+\end{verbatim}
+
+\noindent then you may examine the available information in
+\texttt{z.out} by using \texttt{names(z.out)}.  For example,
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object
+  \texttt{z.out\$coefficients} are the estimates of $\gamma_{ij}$ (and
+  also $\delta_{ij}$, if covariates are present). The parameters are
+  returned as a single vector of length $R\times (C-1)$. If there is a
+  covariate, $\delta$ is concatenated to it.
+
+\item From the \texttt{sim()} output object, you may extract the
+  parameters $\beta_{ij}$ corresponding to the estimated fractions of
+  different social groups that support different political parties, by
+  using \texttt{s.out\$qi\$ev}.  For each precinct, that will be a
+  matrix with dimensions: simulations $\times R \times C$.
+\end{itemize}
+
+\subsubsection{Contributors}
+
+Please cite the model as 
+\begin{verse}
+\bibentry{RosJiaKin01}.
+\end{verse}
+
+Jason Wittenberg, Ferdinand Alimadhi, and Olivia Lau implemented the
+$R \times C$ {\sc ei} model for Zelig.  
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/ei.RxC.pdf b/inst/doc/ei.RxC.pdf
new file mode 100644
index 0000000..45a1821
Binary files /dev/null and b/inst/doc/ei.RxC.pdf differ
diff --git a/inst/doc/ei.RxC.tex b/inst/doc/ei.RxC.tex
new file mode 100644
index 0000000..94c428d
--- /dev/null
+++ b/inst/doc/ei.RxC.tex
@@ -0,0 +1,238 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Hierarchical Multinomial-Dirichlet Ecological Inference Model}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,ecological, many contingency tables, Gibbs sampling}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{ei.RxC}: Hierarchical Multinomial-Dirichlet Ecological
+  Inference Model for $R \times C$ Tables}
+\label{eiRxC}
+
+Given $n$ contingency tables, each with observed marginals (column and
+row totals), ecological inference ({\sc ei}) estimates the internal
+cell values in each table.  The hierarchical Multinomial-Dirichlet
+model estimates cell counts in $R \times C$ tables. The model is
+implemented using a nonlinear least squares approximation and, with
+bootstrapping for standard errors, had good frequentist properties.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(T0, T1, T2, T3) ~ X0 + X1, 
+                 covar = NULL, 
+                 model = "eiRxC", data = mydata)
+> x.out <- setx(z.out, fn = NULL)
+> s.out <- sim(z.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+
+\begin{itemize}
+\item \texttt{T0}, \texttt{T1}, \texttt{T2},\ldots, \texttt{TC}:
+  numeric vectors (either counts, or proportions that sum to one for
+  each row) containing the column margins of the units to be analyzed.
+
+\item \texttt{X0}, {\tt X1}, {\tt X2},\ldots,{\tt XR}: numeric vectors
+  (either counts, or proportions that sum to one for each row)
+  containing the row margins of the units to be analyzed.
+
+\item {\tt covar}: (optional) a covariate that varies across tables,
+specified as \verb|covar = ~ Z1|, for example.  (The model only
+accepts one covariate.)
+\end{itemize}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+ \item Basic examples: No covariate \\
+ Attaching the example dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(Weimar)
+\end{Sinput}
+\end{Schunk}
+Estimating the model:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Nazi, Government, Communists, FarRight, 
++     Other) ~ shareunemployed + shareblue + sharewhite + shareself + 
++     sharedomestic, model = "ei.RxC", data = Weimar)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Setting values for in-sample simulations given marginal values:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Estimate fractions of different social groups that support political parties:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Summarizing fractions of different social groups that support political parties:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+
+ \item Example of covariates being present in the model \\
+
+ Using the example dataset Weimar and estimating the model
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Nazi, Government, Communists, FarRight, 
++     Other) ~ shareunemployed + shareblue + sharewhite + shareself + 
++     sharedomestic, covar = ~shareprotestants, model = "ei.RxC", 
++     data = Weimar)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Set the covariate to its default (mean/median) value
+
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Estimate fractions of different social groups that support political parties:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Summarizing fractions of different social groups that support political parties:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\clearpage
+
+\subsubsection{Model}
+Consider the following $5 \times 5$ contingency table for the voting
+patterns in Weimar Germany.  For each geographical unit $i$ ($i = 1,
+\dots, p$), the marginals $T_{1i}$,\dots, $T_{Ci}$, $X_{1i}$,\dots,
+$X_{Ri}$ are known for each of the $p$ electoral precincts, and we
+would like to estimate ($\beta_i^{rc}, r=1,\dots,R, c=1,\dots,C-1$)
+which are the fractions of people in social class $r$ who vote for
+party $c$, for all $r$ and $c$.
+\begin{table}[!h]
+  \begin{center}
+    \begin{tabular}{l|ccccc|c}
+      & Nazi  & Government & Communists & Far Right & Other         \\
+      \hline
+      Unemployed & $\beta_{11}^{i}$  & $\beta_{12}^{i}$ & $\beta_{13}^{i}$  & $\beta_{14}^{i}$  & $1-\sum_{c=1}^4 \beta_{1c}^i$ & $X_1^i$   \\
+      Blue  & $\beta_{21}^{i}$  & $\beta_{22}^{i}$ & $\beta_{23}^{i}$  & $\beta_{24}^{i}$  & $1-\sum_{c=1}^4 \beta_{2c}^i$ & $X_2^i$   \\
+      White  & $\beta_{31}^{i}$  & $\beta_{32}^{i}$ & $\beta_{33}^{i}$  & $\beta_{34}^{i}$  & $1-\sum_{c=1}^4 \beta_{3c}^i$ & $X_3^i$   \\
+      Self  & $\beta_{41}^{i}$  & $\beta_{42}^{i}$ & $\beta_{43}^{i}$  & $\beta_{44}^{i}$  & $1-\sum_{c=1}^4 \beta_{4c}^i$ & $X_4^i$   \\
+      Domestic  & $\beta_{51}^{i}$  & $\beta_{52}^{i}$ & $\beta_{53}^{i}$  & $\beta_{54}^{i}$  & $1-\sum_{c=1}^4 \beta_{5c}^i$ & $X_5^i$   \\
+      \hline
+      & $T_{1i}$ & $T_{2i}$  & $T_{3i}$      & $T_{4i}$  & $1-\sum_{c=1}^4 \beta_{ci}$
+    \end{tabular}
+  \end{center}
+\end{table}
+
+\noindent 
+The marginal values $X_{1i},\dots,X_{Ri}$, $T_{1i},\dots,T_{Ci}$ may be
+observed as counts or fractions.
+
+Let $T_i^{'}=(T_{1i}^{'},T_{2i}^{'},\dots,T_{Ci}^{'})$ be the number
+of voting age persons who turn out to vote for different parties.
+There are three levels of hierarchy in the 
+Multinomial-Dirichlet {\sc ei} model.  At the first stage, we model
+the data as:
+\begin{itemize}
+
+\item The \emph{stochastic component} is described $T_i^{'}$ which
+follows a multinomial distribution: 
+\begin{eqnarray*}
+T_i^{'} &\sim & \textrm{Multinomial}(\Theta_{1i},\dots,\Theta_{Ci})
+\end{eqnarray*}
+
+\item The \emph{systematic components} are
+\begin{eqnarray*}
+\Theta_{ci}=\sum_{r=1}^{R}\beta_{rc}^{i}X_{ri} & \textrm{for} &  c=1,\dots,C
+\end{eqnarray*}
+
+\end{itemize}
+
+At the second stage, we use an optional covariate to model
+$\Theta_{ci}$'s and $\beta_{qrc}^{i}$: 
+\begin{itemize}
+\item The \emph{stochastic component} is described by
+$\beta_{r}^{i}=(\beta_{r1},\beta_{r2},\dots,\beta_{r,C-1})$ for 
+  $i=1,\dots,,p$ and $r=1,\dots,R$,  which follows a Dirichlet distribution:
+
+  \begin{eqnarray*}
+    \beta_r^{i}  &\sim & \textrm{Dirichlet}(\alpha_{r1}^{i},\dots,\alpha_{rc}^{i})
+  \end{eqnarray*}
+
+\item The \emph{systematic components} are 
+\begin{eqnarray*}
+  \alpha_{rc}^{i}=\frac{d_{r}exp(\gamma_{rc}+\delta_{rc}Z_{i})}{d_r(1+\sum_{j=1}^{C-1}exp(\gamma_{rj}+\delta_{rj}Z_i))} = \frac{exp(\gamma_{rc}+\delta_{rc}Z_i)}{1+\sum_{j=1}^{C-1}exp(\gamma_{rj}+\delta_{rj}Z_i)} 
+\end{eqnarray*}
+for $i=1, \dots,p$, $r=1,\dots,R$, and $c=1, \dots, C-1$.
+
+In the third stage, we assume that the regression parameters (the
+$\gamma_{rc}$'s and $\delta_{rc}$'s) are \emph{a priori} independent,
+and put a flat prior on these regression parameters.  The parameters
+$d_{r}$ for $r=1,\dots,R$ are assumed to follow exponential distributions with
+mean $\frac{1}{\lambda}$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run
+\begin{verbatim}
+> z.out <- zelig(cbind(T0, T1, T2) ~ X0 + X1 + X2, 
+          model = "eiRxC", data = mydata)
+\end{verbatim}
+
+\noindent then you may examine the available information in
+\texttt{z.out} by using \texttt{names(z.out)}.  For example,
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object
+  \texttt{z.out\$coefficients} are the estimates of $\gamma_{ij}$ (and
+  also $\delta_{ij}$, if covariates are present). The parameters are
+  returned as a single vector of length $R\times (C-1)$. If there is a
+  covariate, $\delta$ is concatenated to it.
+
+\item From the \texttt{sim()} output object, you may extract the
+  parameters $\beta_{ij}$ corresponding to the estimated fractions of
+  different social groups that support different political parties, by
+  using \texttt{s.out\$qi\$ev}.  For each precinct, that will be a
+  matrix with dimensions: simulations $\times R \times C$.
+\end{itemize}
+
+\subsubsection{Contributors}
+
+Please cite the model as 
+\begin{verse}
+\bibentry{RosJiaKin01}.
+\end{verse}
+
+Jason Wittenberg, Ferdinand Alimadhi, and Olivia Lau implemented the
+$R \times C$ {\sc ei} model for Zelig.  
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/ei.dynamic.Rnw b/inst/doc/ei.dynamic.Rnw
new file mode 100644
index 0000000..b8ad6d3
--- /dev/null
+++ b/inst/doc/ei.dynamic.Rnw
@@ -0,0 +1,309 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/eiDynamic}
+\include{zinput}
+%\VignetteIndexEntry{Quinn's Dynamic Ecological Inference}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,ecological, contingency tables, Gibbs sampling}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+%%% the following inputs do not work
+%\SweaveInput{ei.hier}
+%\SweaveInput{eiRxC}
+\section{\texttt{ei.dynamic}: Quinn's Dynamic Ecological Inference
+Model}
+
+\label{ei.dynamic}
+
+Given contingency tables with observed marginals, ecological inference
+({\sc ei}) models estimate each internal cell value for each table.
+Quinn's dynamic {\sc ei} model estimates a dynamic Bayesian model for
+$2 \times 2$ tables with temporal dependence across tables (units).
+The model is implemented using a Markov Chain Monte Carlo algorithm
+(via a combination of slice and Gibbs sampling).  
+For a hierarchical Bayesian implementation of {\sc ei} see Quinn's
+dynamic {\sc ei} model (\Sref{ei.hier}). For contingency tables larger than
+2 rows by 2 columns, see R$\times$C {\sc ei} (\Sref{eiRxC}). 
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(cbind(t0, t1) ~ x0 + x1, N = NULL, 
+                 model = "MCMCei.dynamic", data = mydata)
+> x.out <- setx(z.out, fn = NULL, cond = TRUE)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+\begin{itemize}
+\item \texttt{t0}, {\tt t1}: numeric vectors (either counts or
+proportions) containing the column margins of the units to be
+analyzed.
+
+\item \texttt{x0}, {\tt x1}: numeric vectors (either counts or
+proportions) containing the row margins of the units to be
+analyzed.
+
+\item \texttt{N}: total counts in each contingency table (unit).  If
+\texttt{t0},\texttt{t1}, \texttt{x0} and \texttt{x1} are proportions,
+you must specify \texttt{N}.
+
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following additional inputs for
+\texttt{ei.dynamic} to monitor the convergence of the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 5,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 50,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed of 12345. 
+
+\end{itemize}
+
+\noindent The model also accepts the following additional arguments to
+specify priors and other parameters:
+
+\begin{itemize}
+\item \texttt{W}: a $p \times p$ numeric matrix describing the
+structure of the temporal dependence among elements of $\theta_0$ and
+$\theta_1$. The default value is 0, which constructs a weight matrix
+corresponding to random walk priors for $\theta_0$ and $\theta_1$
+(assuming that the tables are equally spaced throughout time, and that
+the elements of \texttt{t0},
+\texttt{t1},\texttt{x0},\texttt{x1} are temporally ordered). 
+
+\item \texttt{a0}: $a_{0}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$. The default is 0.825.
+
+\item \texttt{b0}: $b_{0}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$. The default is 0.0105.
+
+\item \texttt{a1}: $a_{1}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$. The default is 0.825.
+
+\item \texttt{b1}: $b_{1}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$. The default is 0.0105.
+\end{itemize}
+
+\noindent Users may wish to refer to \texttt{help(MCMCdynamicEI)} for more options.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+ \item Basic examples \\
+ Attaching the example dataset:
+<<Examples.data>>=
+ data(eidat)
+
+@ 
+Estimating the model using \texttt{ei.dynamic}:
+<<Examples.zelig>>=
+ z.out <- zelig(cbind(t0, t1) ~ x0 + x1, model = "ei.dynamic", 
+                 data = eidat,  mcmc = 40000, thin = 10, burnin = 10000, 
+                 verbose = TRUE)
+ summary(z.out)
+@ 
+Setting values for in-sample simulations given the marginal values 
+of {\tt t0}, {\tt t1}, {\tt x0}, and {\tt x1}:
+<<Examples.setx>>=
+ x.out <- setx(z.out, fn = NULL, cond = TRUE)
+@ 
+In-sample simulations from the posterior distribution:
+<<Examples.sim>>=
+s.out <- sim(z.out, x = x.out)
+@ 
+Summarizing in-sample simulations at aggregate level 
+weighted by the count in each unit:
+<<Examples.summary>>=
+ summary(s.out)
+@ 
+Summarizing in-sample simulations at unit level for the first 5 units:
+<<Examples.summary.subset>>=
+ summary(s.out, subset = 1:5)
+@ 
+\end{enumerate}
+\clearpage
+\subsubsection{Model}
+Consider the following $2 \times 2$ contingency table for the racial
+voting example.  For each geographical unit $i = 1, \dots, p$, the
+marginals $t_i^0$, $t_i^1$, $x_i^0$, and $x_i^1$ are known, and we
+would like to estimate $n_i^{00}$, $n_i^{01}$, $n_i^{10}$, and $n_i^{11}$.
+\begin{table}[h!]
+  \begin{center}
+    \begin{tabular}{l|cc|c}
+      & No Vote  & Vote &         \\
+      \hline
+      Black & $n_i^{00}$  & $n_i^{01}$ & $x_i^0$   \\
+      White & $n_i^{10}$  & $n_i^{11}$ & $x_i^1$ \\
+      \hline
+      & $t_i^0$ & $t_i^1$ & $N_i$         
+    \end{tabular}
+  \end{center}
+\end{table}
+
+\noindent The marginal values $x_{i}^0$, $x_{i}^1$, $t_i^0$, $t_i^1$ are
+observed as either counts or fractions. If fractions, the counts can
+be obtained by multiplying by the total counts per table $N_i =
+n_i^{00} + n_i^{01} + n_i^{10} + n_i^{11}$, and rounding to the
+nearest integer.  Although there are four internal cells, only two
+unknowns are modeled since $n_i^{01} = x_i^0 - n_{i}^{00}$ and
+$n_{i}^{11} = s_i^1 - n_{i}^{10}$. \\
+
+The hierarchical Bayesian model for ecological inference in 
+$2 \times 2$ is illustrated as following: 
+\begin{itemize}
+\item The \emph{stochastic component} of the model assumes that
+\begin{eqnarray*}
+n_{i}^{00}\mid x_i^0,\beta_i^b &\sim& \textrm{Binomial}\left(
+x_i^0, \beta_i^b\right)  ,\\
+n_{i}^{10} \mid x_i^1, \beta_i^w &\sim& \textrm{Binomial}\left(
+x_i^1, \beta_i^w\right)  \\
+\end{eqnarray*}
+where $\beta_{i}^{b}$ is the fraction of the black voters who vote
+and $\beta_i^w$ is the fraction of the white voters who vote. $\beta_i^b$ 
+and $\beta_i^w$ as well as their aggregate summaries are the focus
+of inference.
+
+\item The \emph{systematic component} of the model is 
+\begin{eqnarray*}
+\beta_i^b &=& \frac{\exp\theta_i^0}{1 - \exp\theta_i^0} \\
+\beta_i^w &=& \frac{\exp\theta_i^1}{1 - \exp\theta_i^1} 
+\end{eqnarray*}
+The logit transformations of $\beta^b_i$ and $\beta^w_i$, $\theta_{i}^0$, 
+and $\theta_i^1$ now take value on the real line. (Future versions may allow
+$\beta_{i}^{b}$ and $\beta_{i}^{w}$ to be functions of observed covariates.)
+
+\item The \emph{priors} for $\theta_{i}^0$ and $\theta_{i}^1$
+ are given by
+\begin{eqnarray*}
+\theta_{i}^{0}   \mid\sigma_{0}^{2}&\propto & \frac{1}{\sigma_0^{p}} \exp
+\left( -\frac{1}{2\sigma_{0}^2}\theta_0' P \theta_0 \right) \\
+\theta_{i}^{1}   \mid\sigma_{1}^{2}&\propto & \frac{1}{\sigma_1^{p}} \exp
+\left( -\frac{1}{2\sigma_{1}^2}\theta_1' P \theta_1 \right) 
+\end{eqnarray*}
+where $P$ is a $p \times p$ matrix whose off diagonal elements
+$P_{ts}$ ($t \ne s$) equal $-W_{ts}$ (the negative values of the corresponding
+elements of the weight matrix $W$), and diagonal elements 
+$P_{tt}=\sum_{s\ne t} W_{ts}$. Scale parameters $\sigma_{0}^2$ and
+$\sigma_{1}^2$ have hyperprior distributions as given below.  
+
+\item The \emph{hyperpriors} for $\sigma_{0}^{2}$ and $\sigma_{1}^{2}$ are
+given by
+\begin{eqnarray*}
+\sigma_{0}^{2}  & \sim& \textrm{Inverse Gamma}\left(\frac{a_{0}}{2},\frac{b_{0}}{2}\right)  ,\\
+\sigma_{1}^{2}  & \sim& \textrm{Inverse Gamma}\left(\frac{a_{1}}{2},\frac{b_{1}}{2}\right)  ,
+\end{eqnarray*}
+where $a_{0}/2$ and $a_{1}/2$ are the shape parameters of the 
+(independent) Gamma distributions while $b_{0}/2$ and $b_{1}/2$
+ are the scale parameters. \\
+
+The default hyperpriors for $\mu_{0},$ $\mu_{1}$, $\sigma_{0}^{2},$
+and $\sigma_{1}^{2}$ are chosen such that the prior distributions for
+$\beta^b$ and $\beta^w$ are flat.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+
+\begin{verbatim}
+> z.out <- (cbind(t0, t1) ~ x0 + x1, N = NULL, 
+          model = "ei.dynamic", data = mydata)
+\end{verbatim}
+ 
+\noindent then you may examine the available information in 
+\texttt{z.out} by using \texttt{names(z.out)}, see the draws from the
+posterior distribution of the quantities of interest by using
+\texttt{z.out\$coefficients}, and view a default summary of
+information through \texttt{summary(z.out)}. Other elements available
+through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, 
+you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the parameters.
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{N}: the total counts when the inputs are fractions.
+\item \texttt{seed}: the random seed used in the model.
+\end{itemize}
+
+\item From \texttt{summary(z.out)}, you may extract:
+\begin{itemize}
+\item \texttt{summary}: a matrix containing the summary information of the 
+posterior estimation of $\beta^b_i$ and$\beta^w_i$ for each unit and
+the parameters $\mu_0$, $\mu_1$, $\sigma_1$ and $\sigma_2$ based on
+the posterior distribution.  The first $p$ rows correspond to
+$\beta_i^b$, $i=1,\ldots p$, the row names are in the form of
+\texttt{p0table}$i$. The $(p+1)$-th to the $2p$-th rows correspond to
+$\beta_i^w$, $i=1,\ldots,p$. The row names are in the form of
+\texttt{p1table}$i$. The last four rows contain information about
+$\mu_0$, $\mu_1$, $\sigma_0^2$ and $\sigma_1^2$, the prior means and
+variances of $\theta_0$ and $\theta_1$. 
+\end{itemize}
+\item From the \texttt{sim()} output object \texttt{s.out}, you may
+extract quantities of interest arranged as arrays indexed by
+simulation $\times$ column $\times$ row $\times$ observation, where
+column and row refer to the column dimension and the row dimension of
+the ecological table, respectively. In this model, only $2 \times 2$
+contingency tables are analyzed, hence column$=2$ and row$=2$ in all
+cases. Available quantities are:
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values of each internal
+cell given the observed marginals.
+\item \texttt{qi\$pr}: the simulated expected values of each internal
+cell given the observed marginals.
+\end{itemize}
+
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The dynamic {\sc ei} model was developed in
+\begin{verse}
+\bibentry{Qui04}.
+\end{verse}
+The \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{ei.dynamic} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/ei.dynamic.pdf b/inst/doc/ei.dynamic.pdf
new file mode 100644
index 0000000..3f18d9a
Binary files /dev/null and b/inst/doc/ei.dynamic.pdf differ
diff --git a/inst/doc/ei.dynamic.tex b/inst/doc/ei.dynamic.tex
new file mode 100644
index 0000000..ddb4402
--- /dev/null
+++ b/inst/doc/ei.dynamic.tex
@@ -0,0 +1,306 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Quinn's Dynamic Ecological Inference}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,ecological, contingency tables, Gibbs sampling}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+%%% the following inputs do not work
+%\SweaveInput{ei.hier}
+%\SweaveInput{eiRxC}
+\section{\texttt{ei.dynamic}: Quinn's Dynamic Ecological Inference
+Model}
+
+\label{ei.dynamic}
+
+Given contingency tables with observed marginals, ecological inference
+({\sc ei}) models estimate each internal cell value for each table.
+Quinn's dynamic {\sc ei} model estimates a dynamic Bayesian model for
+$2 \times 2$ tables with temporal dependence across tables (units).
+The model is implemented using a Markov Chain Monte Carlo algorithm
+(via a combination of slice and Gibbs sampling).  
+For a hierarchical Bayesian implementation of {\sc ei} see Quinn's
+dynamic {\sc ei} model (\Sref{ei.hier}). For contingency tables larger than
+2 rows by 2 columns, see R$\times$C {\sc ei} (\Sref{eiRxC}). 
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(cbind(t0, t1) ~ x0 + x1, N = NULL, 
+                 model = "MCMCei.dynamic", data = mydata)
+> x.out <- setx(z.out, fn = NULL, cond = TRUE)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+\begin{itemize}
+\item \texttt{t0}, {\tt t1}: numeric vectors (either counts or
+proportions) containing the column margins of the units to be
+analyzed.
+
+\item \texttt{x0}, {\tt x1}: numeric vectors (either counts or
+proportions) containing the row margins of the units to be
+analyzed.
+
+\item \texttt{N}: total counts in each contingency table (unit).  If
+\texttt{t0},\texttt{t1}, \texttt{x0} and \texttt{x1} are proportions,
+you must specify \texttt{N}.
+
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following additional inputs for
+\texttt{ei.dynamic} to monitor the convergence of the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 5,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 50,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed of 12345. 
+
+\end{itemize}
+
+\noindent The model also accepts the following additional arguments to
+specify priors and other parameters:
+
+\begin{itemize}
+\item \texttt{W}: a $p \times p$ numeric matrix describing the
+structure of the temporal dependence among elements of $\theta_0$ and
+$\theta_1$. The default value is 0, which constructs a weight matrix
+corresponding to random walk priors for $\theta_0$ and $\theta_1$
+(assuming that the tables are equally spaced throughout time, and that
+the elements of \texttt{t0},
+\texttt{t1},\texttt{x0},\texttt{x1} are temporally ordered). 
+
+\item \texttt{a0}: $a_{0}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$. The default is 0.825.
+
+\item \texttt{b0}: $b_{0}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$. The default is 0.0105.
+
+\item \texttt{a1}: $a_{1}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$. The default is 0.825.
+
+\item \texttt{b1}: $b_{1}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$. The default is 0.0105.
+\end{itemize}
+
+\noindent Users may wish to refer to \texttt{help(MCMCdynamicEI)} for more options.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+ \item Basic examples \\
+ Attaching the example dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(eidat)
+\end{Sinput}
+\end{Schunk}
+Estimating the model using \texttt{ei.dynamic}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(t0, t1) ~ x0 + x1, model = "ei.dynamic", 
++     data = eidat, mcmc = 40000, thin = 10, burnin = 10000, verbose = TRUE)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for in-sample simulations given the marginal values 
+of {\tt t0}, {\tt t1}, {\tt x0}, and {\tt x1}:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out, fn = NULL, cond = TRUE)
+\end{Sinput}
+\end{Schunk}
+In-sample simulations from the posterior distribution:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+Summarizing in-sample simulations at aggregate level 
+weighted by the count in each unit:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+Summarizing in-sample simulations at unit level for the first 5 units:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out, subset = 1:5)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+\clearpage
+\subsubsection{Model}
+Consider the following $2 \times 2$ contingency table for the racial
+voting example.  For each geographical unit $i = 1, \dots, p$, the
+marginals $t_i^0$, $t_i^1$, $x_i^0$, and $x_i^1$ are known, and we
+would like to estimate $n_i^{00}$, $n_i^{01}$, $n_i^{10}$, and $n_i^{11}$.
+\begin{table}[h!]
+  \begin{center}
+    \begin{tabular}{l|cc|c}
+      & No Vote  & Vote &         \\
+      \hline
+      Black & $n_i^{00}$  & $n_i^{01}$ & $x_i^0$   \\
+      White & $n_i^{10}$  & $n_i^{11}$ & $x_i^1$ \\
+      \hline
+      & $t_i^0$ & $t_i^1$ & $N_i$         
+    \end{tabular}
+  \end{center}
+\end{table}
+
+\noindent The marginal values $x_{i}^0$, $x_{i}^1$, $t_i^0$, $t_i^1$ are
+observed as either counts or fractions. If fractions, the counts can
+be obtained by multiplying by the total counts per table $N_i =
+n_i^{00} + n_i^{01} + n_i^{10} + n_i^{11}$, and rounding to the
+nearest integer.  Although there are four internal cells, only two
+unknowns are modeled since $n_i^{01} = x_i^0 - n_{i}^{00}$ and
+$n_{i}^{11} = s_i^1 - n_{i}^{10}$. \\
+
+The hierarchical Bayesian model for ecological inference in 
+$2 \times 2$ is illustrated as following: 
+\begin{itemize}
+\item The \emph{stochastic component} of the model assumes that
+\begin{eqnarray*}
+n_{i}^{00}\mid x_i^0,\beta_i^b &\sim& \textrm{Binomial}\left(
+x_i^0, \beta_i^b\right)  ,\\
+n_{i}^{10} \mid x_i^1, \beta_i^w &\sim& \textrm{Binomial}\left(
+x_i^1, \beta_i^w\right)  \\
+\end{eqnarray*}
+where $\beta_{i}^{b}$ is the fraction of the black voters who vote
+and $\beta_i^w$ is the fraction of the white voters who vote. $\beta_i^b$ 
+and $\beta_i^w$ as well as their aggregate summaries are the focus
+of inference.
+
+\item The \emph{systematic component} of the model is 
+\begin{eqnarray*}
+\beta_i^b &=& \frac{\exp\theta_i^0}{1 - \exp\theta_i^0} \\
+\beta_i^w &=& \frac{\exp\theta_i^1}{1 - \exp\theta_i^1} 
+\end{eqnarray*}
+The logit transformations of $\beta^b_i$ and $\beta^w_i$, $\theta_{i}^0$, 
+and $\theta_i^1$ now take value on the real line. (Future versions may allow
+$\beta_{i}^{b}$ and $\beta_{i}^{w}$ to be functions of observed covariates.)
+
+\item The \emph{priors} for $\theta_{i}^0$ and $\theta_{i}^1$
+ are given by
+\begin{eqnarray*}
+\theta_{i}^{0}   \mid\sigma_{0}^{2}&\propto & \frac{1}{\sigma_0^{p}} \exp
+\left( -\frac{1}{2\sigma_{0}^2}\theta_0' P \theta_0 \right) \\
+\theta_{i}^{1}   \mid\sigma_{1}^{2}&\propto & \frac{1}{\sigma_1^{p}} \exp
+\left( -\frac{1}{2\sigma_{1}^2}\theta_1' P \theta_1 \right) 
+\end{eqnarray*}
+where $P$ is a $p \times p$ matrix whose off diagonal elements
+$P_{ts}$ ($t \ne s$) equal $-W_{ts}$ (the negative values of the corresponding
+elements of the weight matrix $W$), and diagonal elements 
+$P_{tt}=\sum_{s\ne t} W_{ts}$. Scale parameters $\sigma_{0}^2$ and
+$\sigma_{1}^2$ have hyperprior distributions as given below.  
+
+\item The \emph{hyperpriors} for $\sigma_{0}^{2}$ and $\sigma_{1}^{2}$ are
+given by
+\begin{eqnarray*}
+\sigma_{0}^{2}  & \sim& \textrm{Inverse Gamma}\left(\frac{a_{0}}{2},\frac{b_{0}}{2}\right)  ,\\
+\sigma_{1}^{2}  & \sim& \textrm{Inverse Gamma}\left(\frac{a_{1}}{2},\frac{b_{1}}{2}\right)  ,
+\end{eqnarray*}
+where $a_{0}/2$ and $a_{1}/2$ are the shape parameters of the 
+(independent) Gamma distributions while $b_{0}/2$ and $b_{1}/2$
+ are the scale parameters. \\
+
+The default hyperpriors for $\mu_{0},$ $\mu_{1}$, $\sigma_{0}^{2},$
+and $\sigma_{1}^{2}$ are chosen such that the prior distributions for
+$\beta^b$ and $\beta^w$ are flat.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+
+\begin{verbatim}
+> z.out <- (cbind(t0, t1) ~ x0 + x1, N = NULL, 
+          model = "ei.dynamic", data = mydata)
+\end{verbatim}
+ 
+\noindent then you may examine the available information in 
+\texttt{z.out} by using \texttt{names(z.out)}, see the draws from the
+posterior distribution of the quantities of interest by using
+\texttt{z.out\$coefficients}, and view a default summary of
+information through \texttt{summary(z.out)}. Other elements available
+through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, 
+you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the parameters.
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{N}: the total counts when the inputs are fractions.
+\item \texttt{seed}: the random seed used in the model.
+\end{itemize}
+
+\item From \texttt{summary(z.out)}, you may extract:
+\begin{itemize}
+\item \texttt{summary}: a matrix containing the summary information of the 
+posterior estimation of $\beta^b_i$ and$\beta^w_i$ for each unit and
+the parameters $\mu_0$, $\mu_1$, $\sigma_1$ and $\sigma_2$ based on
+the posterior distribution.  The first $p$ rows correspond to
+$\beta_i^b$, $i=1,\ldots p$, the row names are in the form of
+\texttt{p0table}$i$. The $(p+1)$-th to the $2p$-th rows correspond to
+$\beta_i^w$, $i=1,\ldots,p$. The row names are in the form of
+\texttt{p1table}$i$. The last four rows contain information about
+$\mu_0$, $\mu_1$, $\sigma_0^2$ and $\sigma_1^2$, the prior means and
+variances of $\theta_0$ and $\theta_1$. 
+\end{itemize}
+\item From the \texttt{sim()} output object \texttt{s.out}, you may
+extract quantities of interest arranged as arrays indexed by
+simulation $\times$ column $\times$ row $\times$ observation, where
+column and row refer to the column dimension and the row dimension of
+the ecological table, respectively. In this model, only $2 \times 2$
+contingency tables are analyzed, hence column$=2$ and row$=2$ in all
+cases. Available quantities are:
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values of each internal
+cell given the observed marginals.
+\item \texttt{qi\$pr}: the simulated expected values of each internal
+cell given the observed marginals.
+\end{itemize}
+
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The dynamic {\sc ei} model was developed in
+\begin{verse}
+\bibentry{Qui04}.
+\end{verse}
+The \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{ei.dynamic} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+ \end{document}
diff --git a/inst/doc/ei.hier.Rnw b/inst/doc/ei.hier.Rnw
new file mode 100644
index 0000000..75538ae
--- /dev/null
+++ b/inst/doc/ei.hier.Rnw
@@ -0,0 +1,311 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/eiHier}
+\include{zinput}
+%\VignetteIndexEntry{Hierarchical Ecological Inference Model}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,ecological, two contingency tables, Gibbs sampling}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+%\SweaveInput{ei.dynamic}
+\section{\texttt{ei.hier}: Hierarchical Ecological Inference Model for
+$2 \times 2$ Tables} 
+
+\label{ei.hier}
+
+Given contingency tables with observed marginals, ecological inference
+({\sc ei}) models estimate each internal cell value for each table.
+The hierarchical {\sc ei} model estimates a Bayesian model for $2
+\times 2$ tables.  The model is implemented using a Markov Chain Monte
+Carlo algorithm (via a combination of slice and Gibbs sampling).  
+For a Bayesian implementation of {\sc ei} that accounts for temporal
+dependence, see Quinn's dynamic {\sc ei} model (\Sref{ei.dynamic}).
+For contingency tables larger than
+2 rows by 2 columns, see R$\times$C {\sc ei} (\Sref{eiRxC}). 
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(t0, t1) ~ x0 + x1, N = NULL, 
+                 model = "MCMCei.hier", data = mydata)
+> x.out <- setx(z.out, fn = NULL, cond = TRUE)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+
+\begin{itemize}
+\item \texttt{t0}, {\tt t1}: numeric vectors (either counts or
+proportions) containing the column margins of the units to be
+analyzed.
+
+\item \texttt{x0}, {\tt x1}: numeric vectors (either counts or
+proportions) containing the row margins of the units to be
+analyzed.
+
+\item \texttt{N}: total counts per contingency table (unit).  If
+\texttt{t0},\texttt{t1}, \texttt{x0} and \texttt{x1} are proportions,
+you must specify \texttt{N}. 
+
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following additional inputs for
+\texttt{ei.hier} to monitor the convergence of the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 5,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 50,000).  
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.  
+
+\item \texttt{seed}: seed for the random number generator. The default is \texttt{NA} which
+corresponds to a random seed of 12345. 
+
+\end{itemize}
+
+\noindent The model also accepts the following additional arguments to specify 
+ prior parameters used in the model:
+
+\begin{itemize}
+\item \texttt{m0}: prior mean of $\mu_{0}$ (defaults to 0).
+
+\item \texttt{M0}: prior variance of $\mu_{0}$ (defaults to 2.287656).
+
+\item \texttt{m1}: prior mean of $\mu_{1}$ (defaults to 0).
+ 
+\item \texttt{M1}: prior variance of $\mu_{1}$ (defaults to 2.287656).
+
+\item \texttt{a0}: $a_{0}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$ (defaults to 0.825).
+
+\item \texttt{b0}: $b_{0}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$ (defaults to 0.0105).
+
+\item \texttt{a1}: $a_{1}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$ (defaults to 0.825).
+
+\item \texttt{b1}: $b_{1}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$ (defaults to 0.0105).
+\end{itemize}
+
+\noindent Users may wish to refer to \texttt{help(MCMChierEI)} for more information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+ \item Basic examples \\
+ Attaching the example dataset:
+<<Examples.data>>=
+ data(eidat)
+ eidat
+@ 
+Estimating the model using \texttt{ei.hier}:
+<<Examples.zelig>>=
+z.out <- zelig(cbind(t0, t1) ~ x0 + x1, model = "ei.hier", 
+                 data = eidat, mcmc = 40000, thin = 10, burnin = 10000, 
+                 verbose = TRUE)
+ summary(z.out)
+@ 
+
+Setting values for in-sample simulations given marginal values 
+of {\tt x0}, {\tt x1}, {\tt t0}, and {\tt t1}:
+<<Examples.setx>>=
+ x.out <- setx(z.out, fn = NULL, cond = TRUE)
+@ 
+
+In-sample simulations from the posterior distribution:
+<<Examples.sim>>=
+ s.out <- sim(z.out, x = x.out)
+@ 
+Summarizing in-sample simulations at aggregate level 
+weighted by the count in each unit:
+<<Examples.summary>>=
+summary(s.out)
+@ 
+Summarizing in-sample simulations at unit level for the first 5 units:
+<<Examples.summary.subset>>=
+summary(s.out, subset = 1:5)
+@ 
+
+\end{enumerate}
+\clearpage
+\subsubsection{Model}
+Consider the following $2 \times 2$ contingency table for the racial
+voting example.  For each geographical unit $i = 1, \dots, p$, the
+marginals $t_i^0$, $t_i^1$, $x_i^0$, and $x_i^1$ are known, and we
+would like to estimate $n_i^{00}$, $n_i^{01}$, $n_i^{10}$, and $n_i^{11}$.
+
+\begin{table}[!h]
+  \begin{center}
+    \begin{tabular}{l|cc|c}
+      & No Vote  & Vote &         \\
+      \hline
+      Black & $n_i^{00}$  & $n_i^{01}$ & $x_i^0$   \\
+      White & $n_i^{10}$  & $n_i^{11}$ & $x_i^1$ \\
+      \hline
+      & $t_i^0$ & $t_i^1$ & $N_i$         
+    \end{tabular}
+  \end{center}
+\end{table}
+
+\noindent The marginal values $x_{i}^0$, $x_{i}^1$, $t_i^0$,
+$t_i^1$ are observed as either counts or fractions. If fractions, the
+counts can be obtained by multiplying by the total counts per table
+$N_i = n_i^{00} + n_i^{01} + n_i^{10} + n_i^{11}$ and rounding to the
+nearest integer.  Although there are four internal cells, only two
+unknowns are modeled since $n_i^{01} = x_i^0 - n_{i}^{00}$ and
+$n_{i}^{11} = s_i^1 - n_{i}^{10}$.
+
+The hierarchical Bayesian model for ecological inference in $2 \times
+2$ is illustrated as following:
+\begin{itemize}
+\item The \emph{stochastic component} of the model assumes that
+\begin{eqnarray*}
+n_{i}^{00}\mid x_i^0,\beta_i^b &\sim& \textrm{Binomial}\left(
+x_i^0, \beta_i^b\right)  ,\\
+n_{i}^{10} \mid x_i^1, \beta_i^w &\sim& \textrm{Binomial}\left(
+x_i^1, \beta_i^w\right)  \\
+\end{eqnarray*}
+where $\beta_{i}^{b}$ is the fraction of the black voters who vote
+and $\beta_i^w$ is the fraction of the white voters who vote. $\beta_i^b$ 
+and $\beta_i^w$ as well as their aggregate level summaries are the focus
+of inference.
+
+\item The \emph{systematic component} is 
+\begin{eqnarray*}
+\beta_i^b &=& \frac{\exp\theta_i^0}{1 - \exp\theta_i^0} \\
+\beta_i^w &=& \frac{\exp\theta_i^1}{1 - \exp\theta_i^1} 
+\end{eqnarray*}
+The logit transformations of $\beta^b_i$ and $\beta^w_i$, $\theta_{i}^0$, 
+and $\theta_i^1$ now take value on the real line. (Future versions may allow
+$\beta_{i}^{b}$ and $\beta_{i}^{w}$ to be functions of observed covariates.)
+
+\item The \emph{priors} for $\theta_{i}^0$ and $\theta_{i}^1$
+ are given by
+\begin{eqnarray*}
+\theta_{i}^{0}   \mid\mu_{0},\sigma_{0}^{2}&\sim&\textrm{Normal}\left(  \mu
+_{0},\sigma_{0}^{2}\right),\\
+\theta_{i}^{1}  \mid\mu_{1},\sigma_{1}^{2}&\sim&\textrm{Normal}\left(  \mu
+_{1},\sigma_{1}^{2}\right)  
+\end{eqnarray*}
+where $\mu_{0}$ and $\mu_{1}$ are the means, and $\sigma_{0}^{2}$ 
+and $\sigma_{1}^{2}$ are the variances of the two corresponding 
+(independent) normal distributions.
+
+\item The \emph{hyperpriors} for $\mu_{0}$ and $\mu_{1}$ are given by
+\begin{eqnarray*}
+\mu_{0}    &\sim& \textrm{Normal} \left(  m_{0}, M_{0} \right)  ,\\
+\mu_{1}    &\sim& \textrm{Normal} \left(  m_{1}, M_{1} \right)  ,
+\end{eqnarray*}
+where $m_{0}$ and $m_{1}$ are the means of the (independent) normal
+distributions while $M_{0}$ and $M_{1}$ are the variances.
+
+\item The \emph{hyperpriors} for $\sigma_{0}^{2}$ and $\sigma_{1}^{2}$ are
+given by
+\begin{eqnarray*}
+\sigma_{0}^{2}& \sim& \textrm{Inverse Gamma}\left(\frac{a_{0}}{2},\frac{b_{0}}{2}\right),\\
+\sigma_{1}^{2}& \sim& \textrm{Inverse Gamma}\left(\frac{a_{1}}{2},\frac{b_{1}}{2}\right),
+\end{eqnarray*}
+where $a_{0}/2$ and $a_{1}/2$ are the shape parameters of the
+(independent) Gamma distributions while $b_{0}/2$ and $b_{1}/2$ are
+the scale parameters. 
+
+The default hyperpriors for $\mu_{0},$ $\mu_{1}$, $\sigma_{0}^{2},$
+and $\sigma_{1}^{2}$ are chosen such that the prior distributions of
+$\beta^b$ and $\beta^w$ are flat.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run
+\begin{verbatim}
+> z.out <- (cbind(t0, t1) ~ x0 + x1, N = NULL, 
+          model = "ei.hier", data = mydata)
+\end{verbatim}
+
+\noindent then you may examine the available information in 
+\texttt{z.out} by using \texttt{names(z.out)}, 
+see the draws from the posterior distribution of
+the quantities of interest by using \texttt{z.out\$coefficients}, 
+and a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, 
+you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the parameters.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{N}: the total counts when the inputs are fractions.
+\item \texttt{seed}: the random seed used in the model.
+\end{itemize}
+
+\item From \texttt{summary(z.out)}, you may extract:
+\begin{itemize}
+\item \texttt{summary}: a matrix containing the summary information of the 
+posterior estimation of $\beta^b_i$ and$\beta^w_i$ for each unit and
+the parameters $\mu_0$, $\mu_1$, $\sigma_1$ and $\sigma_2$ based on
+the posterior distribution.  The first $p$ rows correspond to
+$\beta_i^b$, $i=1,\ldots p$, the row names are in the form of
+\texttt{p0table}$i$. The $(p+1)$-th to the $2p$-th rows correspond to
+$\beta_i^w$, $i=1,\ldots,p$. The row names are in the form of
+\texttt{p1table}$i$. The last four rows contain information about
+$\mu_0$, $\mu_1$, $\sigma_0^2$ and $\sigma_1^2$, the prior means and
+variances of $\theta_0$ and $\theta_1$. 
+\end{itemize}
+\item From the \texttt{sim()} output object \texttt{s.out}, you may
+extract quantities of interest arranged as arrays indexed by
+simulation $\times$ column $\times$ row $\times$ observation, where
+column and row refer to the column dimension and the row dimension of
+the contingency table, respectively. In this model, only $2 \times 2$
+contingency tables are analyzed, hence column$=2$ and row$=2$ in all
+cases. Available quantities are:
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values of each internal cell
+given the observed marginals. 
+\item \texttt{qi\$pr}: the simulated expected values of each internal cell 
+given the observed marginals.  
+\end{itemize}
+
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The hierarchical {\sc ei} \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{ei.hier} to work with Zelig.
+i
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/ei.hier.pdf b/inst/doc/ei.hier.pdf
new file mode 100644
index 0000000..10bdb8c
Binary files /dev/null and b/inst/doc/ei.hier.pdf differ
diff --git a/inst/doc/ei.hier.tex b/inst/doc/ei.hier.tex
new file mode 100644
index 0000000..4e9d54a
--- /dev/null
+++ b/inst/doc/ei.hier.tex
@@ -0,0 +1,309 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Hierarchical Ecological Inference Model}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,ecological, two contingency tables, Gibbs sampling}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+%\SweaveInput{ei.dynamic}
+\section{\texttt{ei.hier}: Hierarchical Ecological Inference Model for
+$2 \times 2$ Tables} 
+
+\label{ei.hier}
+
+Given contingency tables with observed marginals, ecological inference
+({\sc ei}) models estimate each internal cell value for each table.
+The hierarchical {\sc ei} model estimates a Bayesian model for $2
+\times 2$ tables.  The model is implemented using a Markov Chain Monte
+Carlo algorithm (via a combination of slice and Gibbs sampling).  
+For a Bayesian implementation of {\sc ei} that accounts for temporal
+dependence, see Quinn's dynamic {\sc ei} model (\Sref{ei.dynamic}).
+For contingency tables larger than
+2 rows by 2 columns, see R$\times$C {\sc ei} (\Sref{eiRxC}). 
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(t0, t1) ~ x0 + x1, N = NULL, 
+                 model = "MCMCei.hier", data = mydata)
+> x.out <- setx(z.out, fn = NULL, cond = TRUE)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+
+\begin{itemize}
+\item \texttt{t0}, {\tt t1}: numeric vectors (either counts or
+proportions) containing the column margins of the units to be
+analyzed.
+
+\item \texttt{x0}, {\tt x1}: numeric vectors (either counts or
+proportions) containing the row margins of the units to be
+analyzed.
+
+\item \texttt{N}: total counts per contingency table (unit).  If
+\texttt{t0},\texttt{t1}, \texttt{x0} and \texttt{x1} are proportions,
+you must specify \texttt{N}. 
+
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following additional inputs for
+\texttt{ei.hier} to monitor the convergence of the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 5,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 50,000).  
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.  
+
+\item \texttt{seed}: seed for the random number generator. The default is \texttt{NA} which
+corresponds to a random seed of 12345. 
+
+\end{itemize}
+
+\noindent The model also accepts the following additional arguments to specify 
+ prior parameters used in the model:
+
+\begin{itemize}
+\item \texttt{m0}: prior mean of $\mu_{0}$ (defaults to 0).
+
+\item \texttt{M0}: prior variance of $\mu_{0}$ (defaults to 2.287656).
+
+\item \texttt{m1}: prior mean of $\mu_{1}$ (defaults to 0).
+ 
+\item \texttt{M1}: prior variance of $\mu_{1}$ (defaults to 2.287656).
+
+\item \texttt{a0}: $a_{0}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$ (defaults to 0.825).
+
+\item \texttt{b0}: $b_{0}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{0}^{2}$ (defaults to 0.0105).
+
+\item \texttt{a1}: $a_{1}/2$ is the shape parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$ (defaults to 0.825).
+
+\item \texttt{b1}: $b_{1}/2$ is the scale parameter for the Inverse Gamma
+prior on $\sigma_{1}^{2}$ (defaults to 0.0105).
+\end{itemize}
+
+\noindent Users may wish to refer to \texttt{help(MCMChierEI)} for more information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+ \item Basic examples \\
+ Attaching the example dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(eidat)
+> eidat
+\end{Sinput}
+\end{Schunk}
+Estimating the model using \texttt{ei.hier}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(t0, t1) ~ x0 + x1, model = "ei.hier", data = eidat, 
++     mcmc = 40000, thin = 10, burnin = 10000, verbose = TRUE)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Setting values for in-sample simulations given marginal values 
+of {\tt x0}, {\tt x1}, {\tt t0}, and {\tt t1}:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out, fn = NULL, cond = TRUE)
+\end{Sinput}
+\end{Schunk}
+
+In-sample simulations from the posterior distribution:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+Summarizing in-sample simulations at aggregate level 
+weighted by the count in each unit:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+Summarizing in-sample simulations at unit level for the first 5 units:
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out, subset = 1:5)
+\end{Sinput}
+\end{Schunk}
+
+\end{enumerate}
+\clearpage
+\subsubsection{Model}
+Consider the following $2 \times 2$ contingency table for the racial
+voting example.  For each geographical unit $i = 1, \dots, p$, the
+marginals $t_i^0$, $t_i^1$, $x_i^0$, and $x_i^1$ are known, and we
+would like to estimate $n_i^{00}$, $n_i^{01}$, $n_i^{10}$, and $n_i^{11}$.
+
+\begin{table}[!h]
+  \begin{center}
+    \begin{tabular}{l|cc|c}
+      & No Vote  & Vote &         \\
+      \hline
+      Black & $n_i^{00}$  & $n_i^{01}$ & $x_i^0$   \\
+      White & $n_i^{10}$  & $n_i^{11}$ & $x_i^1$ \\
+      \hline
+      & $t_i^0$ & $t_i^1$ & $N_i$         
+    \end{tabular}
+  \end{center}
+\end{table}
+
+\noindent The marginal values $x_{i}^0$, $x_{i}^1$, $t_i^0$,
+$t_i^1$ are observed as either counts or fractions. If fractions, the
+counts can be obtained by multiplying by the total counts per table
+$N_i = n_i^{00} + n_i^{01} + n_i^{10} + n_i^{11}$ and rounding to the
+nearest integer.  Although there are four internal cells, only two
+unknowns are modeled since $n_i^{01} = x_i^0 - n_{i}^{00}$ and
+$n_{i}^{11} = s_i^1 - n_{i}^{10}$.
+
+The hierarchical Bayesian model for ecological inference in $2 \times
+2$ is illustrated as following:
+\begin{itemize}
+\item The \emph{stochastic component} of the model assumes that
+\begin{eqnarray*}
+n_{i}^{00}\mid x_i^0,\beta_i^b &\sim& \textrm{Binomial}\left(
+x_i^0, \beta_i^b\right)  ,\\
+n_{i}^{10} \mid x_i^1, \beta_i^w &\sim& \textrm{Binomial}\left(
+x_i^1, \beta_i^w\right)  \\
+\end{eqnarray*}
+where $\beta_{i}^{b}$ is the fraction of the black voters who vote
+and $\beta_i^w$ is the fraction of the white voters who vote. $\beta_i^b$ 
+and $\beta_i^w$ as well as their aggregate level summaries are the focus
+of inference.
+
+\item The \emph{systematic component} is 
+\begin{eqnarray*}
+\beta_i^b &=& \frac{\exp\theta_i^0}{1 - \exp\theta_i^0} \\
+\beta_i^w &=& \frac{\exp\theta_i^1}{1 - \exp\theta_i^1} 
+\end{eqnarray*}
+The logit transformations of $\beta^b_i$ and $\beta^w_i$, $\theta_{i}^0$, 
+and $\theta_i^1$ now take value on the real line. (Future versions may allow
+$\beta_{i}^{b}$ and $\beta_{i}^{w}$ to be functions of observed covariates.)
+
+\item The \emph{priors} for $\theta_{i}^0$ and $\theta_{i}^1$
+ are given by
+\begin{eqnarray*}
+\theta_{i}^{0}   \mid\mu_{0},\sigma_{0}^{2}&\sim&\textrm{Normal}\left(  \mu
+_{0},\sigma_{0}^{2}\right),\\
+\theta_{i}^{1}  \mid\mu_{1},\sigma_{1}^{2}&\sim&\textrm{Normal}\left(  \mu
+_{1},\sigma_{1}^{2}\right)  
+\end{eqnarray*}
+where $\mu_{0}$ and $\mu_{1}$ are the means, and $\sigma_{0}^{2}$ 
+and $\sigma_{1}^{2}$ are the variances of the two corresponding 
+(independent) normal distributions.
+
+\item The \emph{hyperpriors} for $\mu_{0}$ and $\mu_{1}$ are given by
+\begin{eqnarray*}
+\mu_{0}    &\sim& \textrm{Normal} \left(  m_{0}, M_{0} \right)  ,\\
+\mu_{1}    &\sim& \textrm{Normal} \left(  m_{1}, M_{1} \right)  ,
+\end{eqnarray*}
+where $m_{0}$ and $m_{1}$ are the means of the (independent) normal
+distributions while $M_{0}$ and $M_{1}$ are the variances.
+
+\item The \emph{hyperpriors} for $\sigma_{0}^{2}$ and $\sigma_{1}^{2}$ are
+given by
+\begin{eqnarray*}
+\sigma_{0}^{2}& \sim& \textrm{Inverse Gamma}\left(\frac{a_{0}}{2},\frac{b_{0}}{2}\right),\\
+\sigma_{1}^{2}& \sim& \textrm{Inverse Gamma}\left(\frac{a_{1}}{2},\frac{b_{1}}{2}\right),
+\end{eqnarray*}
+where $a_{0}/2$ and $a_{1}/2$ are the shape parameters of the
+(independent) Gamma distributions while $b_{0}/2$ and $b_{1}/2$ are
+the scale parameters. 
+
+The default hyperpriors for $\mu_{0},$ $\mu_{1}$, $\sigma_{0}^{2},$
+and $\sigma_{1}^{2}$ are chosen such that the prior distributions of
+$\beta^b$ and $\beta^w$ are flat.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run
+\begin{verbatim}
+> z.out <- (cbind(t0, t1) ~ x0 + x1, N = NULL, 
+          model = "ei.hier", data = mydata)
+\end{verbatim}
+
+\noindent then you may examine the available information in 
+\texttt{z.out} by using \texttt{names(z.out)}, 
+see the draws from the posterior distribution of
+the quantities of interest by using \texttt{z.out\$coefficients}, 
+and a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, 
+you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the parameters.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{N}: the total counts when the inputs are fractions.
+\item \texttt{seed}: the random seed used in the model.
+\end{itemize}
+
+\item From \texttt{summary(z.out)}, you may extract:
+\begin{itemize}
+\item \texttt{summary}: a matrix containing the summary information of the 
+posterior estimation of $\beta^b_i$ and$\beta^w_i$ for each unit and
+the parameters $\mu_0$, $\mu_1$, $\sigma_1$ and $\sigma_2$ based on
+the posterior distribution.  The first $p$ rows correspond to
+$\beta_i^b$, $i=1,\ldots p$, the row names are in the form of
+\texttt{p0table}$i$. The $(p+1)$-th to the $2p$-th rows correspond to
+$\beta_i^w$, $i=1,\ldots,p$. The row names are in the form of
+\texttt{p1table}$i$. The last four rows contain information about
+$\mu_0$, $\mu_1$, $\sigma_0^2$ and $\sigma_1^2$, the prior means and
+variances of $\theta_0$ and $\theta_1$. 
+\end{itemize}
+\item From the \texttt{sim()} output object \texttt{s.out}, you may
+extract quantities of interest arranged as arrays indexed by
+simulation $\times$ column $\times$ row $\times$ observation, where
+column and row refer to the column dimension and the row dimension of
+the contingency table, respectively. In this model, only $2 \times 2$
+contingency tables are analyzed, hence column$=2$ and row$=2$ in all
+cases. Available quantities are:
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values of each internal cell
+given the observed marginals. 
+\item \texttt{qi\$pr}: the simulated expected values of each internal cell 
+given the observed marginals.  
+\end{itemize}
+
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The hierarchical {\sc ei} \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{ei.hier} to work with Zelig.
+i
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/exp.Rnw b/inst/doc/exp.Rnw
new file mode 100644
index 0000000..12f6fa6
--- /dev/null
+++ b/inst/doc/exp.Rnw
@@ -0,0 +1,302 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/exp}
+\include{zinput}
+%\VignetteIndexEntry{Exponential Regression for Duration Dependent Variables}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model,exponential,regression, time}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{{\tt exp}: Exponential Regression for Duration Dependent Variables}\label{exp}
+
+Use the exponential duration regression model if you have a dependent
+variable representing a duration (time until an event).  The model
+assumes a constant hazard rate for all events.  The dependent variable
+may be censored (for observations have not yet been completed when
+data were collected).
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Surv(Y, C) ~ X, model = "exp", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+Exponential models require that the dependent variable be in the form
+{\tt Surv(Y, C)}, where {\tt Y} and {\tt C} are vectors of length $n$.
+For each observation $i$ in 1, \dots, $n$, the value $y_i$ is the
+duration (lifetime, for example), and the associated $c_i$ is a binary
+variable such that $c_i = 1$ if the duration is not censored ({\it
+  e.g.}, the subject dies during the study) or $c_i = 0$ if the
+duration is censored ({\it e.g.}, the subject is still alive at the
+end of the study and is know to live at least as long as $y_i$).  If
+$c_i$ is omitted, all Y are assumed to be completed; that is, time
+defaults to 1 for all observations.
+
+\subsubsection{Input Values} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for exponential regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) and the options selected in
+{\tt cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "exp", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}  
+
+\subsubsection{Example}
+
+Attach the sample data: 
+<<Example.data>>=
+ data(coalition)
+@ 
+
+Estimate the model: 
+<<Example.zelig>>=
+ z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model = "exp", 
+                 data = coalition)
+@ 
+View the regression output:  
+<<Example.summary>>=
+ summary(z.out)
+@ 
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+<<Example.setx>>=
+ x.low <- setx(z.out, numst2 = 0)
+ x.high <- setx(z.out, numst2 = 1)
+@ 
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt qi\$fd}):
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.low, x1 = x.high)
+@ 
+Summarize quantities of interest and produce some plots:  
+<<Example.summary>>=
+ summary(s.out)
+@ 
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=true>>= 
+ plot(s.out)
+@ 
+\end{center}
+
+\subsubsection{Model}
+
+Let $Y_i^*$ be the survival time for observation $i$. This variable
+might be censored for some observations at a fixed time $y_c$ such
+that the fully observed dependent variable, $Y_i$, is defined as
+\begin{equation*}
+  Y_i = \left\{ \begin{array}{ll}
+      Y_i^* & \textrm{if }Y_i^* \leq y_c \\
+      y_c & \textrm{if }Y_i^* > y_c \\
+    \end{array} \right.
+\end{equation*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by the distribution
+  of the partially observed variable $Y^*$.  We assume $Y_i^*$ follows
+  the exponential distribution whose density function is given by
+  \begin{equation*}
+    f(y_i^*\mid \lambda_i) = \frac{1}{\lambda_i} \exp\left(-\frac{y_i^*}{\lambda_i}\right)
+  \end{equation*}
+  for $y_i^*\ge 0$ and $\lambda_i>0$. The mean of this distribution is
+  $\lambda_i$.  
+
+  In addition, survival models like the exponential have three
+  additional properties.  The hazard function $h(t)$ measures the
+  probability of not surviving past time $t$ given survival up to
+  $t$. In general, the hazard function is equal to $f(t)/S(t)$ where
+  the survival function $S(t) = 1 - \int_{0}^t f(s) ds$ represents the
+  fraction still surviving at time $t$.  The cumulative hazard
+  function $H(t)$ describes the probability of dying before time $t$.
+  In general, $H(t)= \int_{0}^{t} h(s) ds = -\log S(t)$.  In the case
+  of the exponential model,
+\begin{eqnarray*}
+h(t) &=& \frac{1}{\lambda_i} \\
+S(t) &=& \exp\left( -\frac{t}{\lambda_i} \right) \\
+H(t) &=& \frac{t}{\lambda_i}
+\end{eqnarray*}
+For the exponential model, the hazard function $h(t)$ is constant over
+time.  The Weibull model and lognormal models allow the hazard
+function to vary as a function of elapsed time (see \Sref{weibull} and
+\Sref{lognorm} respectively).
+  
+\item The \emph{systematic component} $\lambda_i$ is modeled as
+  \begin{equation*}
+    \lambda_i = \exp(x_i \beta),
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables, and $\beta$ is
+  the vector of coefficients.
+\end{itemize}  
+
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the exponential model are
+  simulations of the expected duration given $x_i$ and draws of
+  $\beta$ from its posterior, $$E(Y) = \lambda_i = \exp(x_i \beta).$$
+
+\item The predicted values ({\tt qi\$pr}) are draws from the
+  exponential distribution with rate equal to the expected value.  
+
+\item The first difference (or difference in expected values, {\tt
+  qi\$ev.diff}), is
+\begin{equation}
+\textrm{FD} \; = \; E(Y \mid x_1) - E(Y \mid x), 
+\end{equation}
+where $x$ and $x_1$ are different vectors of values for the
+explanatory variables.  
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is \begin{equation*}
+  \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) - E[Y_i(t_i=0)]
+  \right\}, \end{equation*} where $t_i$ is a binary explanatory
+  variable defining the treatment ($t_i=1$) and control ($t_i=0$)
+  groups. When $Y_i(t_i=1)$ is censored rather than observed, we
+  replace it with a simulation from the model given available
+  knowledge of the censoring process.  Variation in the simulations
+  is due to two factors: uncertainty in the imputation process for
+  censored $y_i^*$ and uncertainty in simulating $E[Y_i(t_i=0)]$, the
+  counterfactual expected value of $Y_i$ for observations in the
+  treatment group, under the assumption that everything stays the same
+  except that the treatment indicator is switched to $t_i=0$.
+    
+  \item In conditional prediction models, the average predicted
+  treatment effect ({\tt att.pr}) for the treatment group is
+  \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+  \widehat{Y_i(t_i=0)} \right\}, \end{equation*} where $t_i$ is a
+  binary explanatory variable defining the treatment ($t_i=1$) and
+  control ($t_i=0$) groups.  When $Y_i(t_i=1)$ is censored rather than
+  observed, we replace it with a simulation from the model given
+  available knowledge of the censoring process.  Variation in the
+  simulations is due to two factors: uncertainty in the imputation
+  process for censored $y_i^*$ and uncertainty in simulating
+  $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of $Y_i$
+  for observations in the treatment group, under the assumption that
+  everything stays the same except that the treatment indicator is
+  switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(Surv(Y,
+  C) \~\, X, model = "exp", data)}, then you may examine the
+available information in \texttt{z.out} by using
+\texttt{names(z.out)}, see the {\tt coefficients} by using {\tt
+  z.out\$coefficients}, and a default summary of information
+through \texttt{summary(z.out)}.  Other elements available through
+the {\tt \$} operator are listed below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt icoef}: parameter estimates for the intercept and scale
+     parameter.  While the scale parameter varies for the Weibull
+     distribution, it is fixed to 1 for the exponential distribution
+     (which is modeled as a special case of the Weibull).  
+   \item {\tt var}: the variance-covariance matrix for the estimates
+     of $\beta$.  
+   \item {\tt loglik}: a vector containing the log-likelihood for the
+     model and intercept only (respectively).
+   \item {\tt linear.predictors}: the vector of
+     $x_{i}\beta$.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model. 
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item Most of this may be conveniently summarized using {\tt
+   summary(z.out)}.  From {\tt summary(z.out)}, you may
+ additionally extract: 
+   \begin{itemize}
+   \item {\tt table}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.  For
+     example, {\tt summary(z.out)\$table}
+   \end{itemize}
+
+\item From the {\tt sim()} output stored in {\tt s.out}:
+  
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from a
+     distribution defined by the expected values.
+   \item {\tt qi\$fd}: the simulated first differences between the
+     simulated expected values for {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The exponential function is part of the survival library by Terry
+Therneau, ported to R by Thomas Lumley.  Advanced users may wish to
+refer to \texttt{help(survfit)} in the survival library and
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality. 
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/exp.pdf b/inst/doc/exp.pdf
new file mode 100644
index 0000000..28fd25b
Binary files /dev/null and b/inst/doc/exp.pdf differ
diff --git a/inst/doc/exp.tex b/inst/doc/exp.tex
new file mode 100644
index 0000000..7c3bb10
--- /dev/null
+++ b/inst/doc/exp.tex
@@ -0,0 +1,304 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Exponential Regression for Duration Dependent Variables}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model,exponential,regression, time}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt exp}: Exponential Regression for Duration Dependent Variables}\label{exp}
+
+Use the exponential duration regression model if you have a dependent
+variable representing a duration (time until an event).  The model
+assumes a constant hazard rate for all events.  The dependent variable
+may be censored (for observations have not yet been completed when
+data were collected).
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Surv(Y, C) ~ X, model = "exp", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+Exponential models require that the dependent variable be in the form
+{\tt Surv(Y, C)}, where {\tt Y} and {\tt C} are vectors of length $n$.
+For each observation $i$ in 1, \dots, $n$, the value $y_i$ is the
+duration (lifetime, for example), and the associated $c_i$ is a binary
+variable such that $c_i = 1$ if the duration is not censored ({\it
+  e.g.}, the subject dies during the study) or $c_i = 0$ if the
+duration is censored ({\it e.g.}, the subject is still alive at the
+end of the study and is know to live at least as long as $y_i$).  If
+$c_i$ is omitted, all Y are assumed to be completed; that is, time
+defaults to 1 for all observations.
+
+\subsubsection{Input Values} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for exponential regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) and the options selected in
+{\tt cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "exp", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}  
+
+\subsubsection{Example}
+
+Attach the sample data: 
+\begin{Schunk}
+\begin{Sinput}
+> data(coalition)
+\end{Sinput}
+\end{Schunk}
+
+Estimate the model: 
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model = "exp", 
++     data = coalition)
+\end{Sinput}
+\end{Schunk}
+View the regression output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, numst2 = 0)
+> x.high <- setx(z.out, numst2 = 1)
+\end{Sinput}
+\end{Schunk}
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt qi\$fd}):
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.low, x1 = x.high)
+\end{Sinput}
+\end{Schunk}
+Summarize quantities of interest and produce some plots:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/exp-ExamplePlot}
+\end{center}
+
+\subsubsection{Model}
+
+Let $Y_i^*$ be the survival time for observation $i$. This variable
+might be censored for some observations at a fixed time $y_c$ such
+that the fully observed dependent variable, $Y_i$, is defined as
+\begin{equation*}
+  Y_i = \left\{ \begin{array}{ll}
+      Y_i^* & \textrm{if }Y_i^* \leq y_c \\
+      y_c & \textrm{if }Y_i^* > y_c \\
+    \end{array} \right.
+\end{equation*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by the distribution
+  of the partially observed variable $Y^*$.  We assume $Y_i^*$ follows
+  the exponential distribution whose density function is given by
+  \begin{equation*}
+    f(y_i^*\mid \lambda_i) = \frac{1}{\lambda_i} \exp\left(-\frac{y_i^*}{\lambda_i}\right)
+  \end{equation*}
+  for $y_i^*\ge 0$ and $\lambda_i>0$. The mean of this distribution is
+  $\lambda_i$.  
+
+  In addition, survival models like the exponential have three
+  additional properties.  The hazard function $h(t)$ measures the
+  probability of not surviving past time $t$ given survival up to
+  $t$. In general, the hazard function is equal to $f(t)/S(t)$ where
+  the survival function $S(t) = 1 - \int_{0}^t f(s) ds$ represents the
+  fraction still surviving at time $t$.  The cumulative hazard
+  function $H(t)$ describes the probability of dying before time $t$.
+  In general, $H(t)= \int_{0}^{t} h(s) ds = -\log S(t)$.  In the case
+  of the exponential model,
+\begin{eqnarray*}
+h(t) &=& \frac{1}{\lambda_i} \\
+S(t) &=& \exp\left( -\frac{t}{\lambda_i} \right) \\
+H(t) &=& \frac{t}{\lambda_i}
+\end{eqnarray*}
+For the exponential model, the hazard function $h(t)$ is constant over
+time.  The Weibull model and lognormal models allow the hazard
+function to vary as a function of elapsed time (see \Sref{weibull} and
+\Sref{lognorm} respectively).
+  
+\item The \emph{systematic component} $\lambda_i$ is modeled as
+  \begin{equation*}
+    \lambda_i = \exp(x_i \beta),
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables, and $\beta$ is
+  the vector of coefficients.
+\end{itemize}  
+
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the exponential model are
+  simulations of the expected duration given $x_i$ and draws of
+  $\beta$ from its posterior, $$E(Y) = \lambda_i = \exp(x_i \beta).$$
+
+\item The predicted values ({\tt qi\$pr}) are draws from the
+  exponential distribution with rate equal to the expected value.  
+
+\item The first difference (or difference in expected values, {\tt
+  qi\$ev.diff}), is
+\begin{equation}
+\textrm{FD} \; = \; E(Y \mid x_1) - E(Y \mid x), 
+\end{equation}
+where $x$ and $x_1$ are different vectors of values for the
+explanatory variables.  
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is \begin{equation*}
+  \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) - E[Y_i(t_i=0)]
+  \right\}, \end{equation*} where $t_i$ is a binary explanatory
+  variable defining the treatment ($t_i=1$) and control ($t_i=0$)
+  groups. When $Y_i(t_i=1)$ is censored rather than observed, we
+  replace it with a simulation from the model given available
+  knowledge of the censoring process.  Variation in the simulations
+  is due to two factors: uncertainty in the imputation process for
+  censored $y_i^*$ and uncertainty in simulating $E[Y_i(t_i=0)]$, the
+  counterfactual expected value of $Y_i$ for observations in the
+  treatment group, under the assumption that everything stays the same
+  except that the treatment indicator is switched to $t_i=0$.
+    
+  \item In conditional prediction models, the average predicted
+  treatment effect ({\tt att.pr}) for the treatment group is
+  \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+  \widehat{Y_i(t_i=0)} \right\}, \end{equation*} where $t_i$ is a
+  binary explanatory variable defining the treatment ($t_i=1$) and
+  control ($t_i=0$) groups.  When $Y_i(t_i=1)$ is censored rather than
+  observed, we replace it with a simulation from the model given
+  available knowledge of the censoring process.  Variation in the
+  simulations is due to two factors: uncertainty in the imputation
+  process for censored $y_i^*$ and uncertainty in simulating
+  $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of $Y_i$
+  for observations in the treatment group, under the assumption that
+  everything stays the same except that the treatment indicator is
+  switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(Surv(Y,
+  C) \~\, X, model = "exp", data)}, then you may examine the
+available information in \texttt{z.out} by using
+\texttt{names(z.out)}, see the {\tt coefficients} by using {\tt
+  z.out\$coefficients}, and a default summary of information
+through \texttt{summary(z.out)}.  Other elements available through
+the {\tt \$} operator are listed below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt icoef}: parameter estimates for the intercept and scale
+     parameter.  While the scale parameter varies for the Weibull
+     distribution, it is fixed to 1 for the exponential distribution
+     (which is modeled as a special case of the Weibull).  
+   \item {\tt var}: the variance-covariance matrix for the estimates
+     of $\beta$.  
+   \item {\tt loglik}: a vector containing the log-likelihood for the
+     model and intercept only (respectively).
+   \item {\tt linear.predictors}: the vector of
+     $x_{i}\beta$.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model. 
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item Most of this may be conveniently summarized using {\tt
+   summary(z.out)}.  From {\tt summary(z.out)}, you may
+ additionally extract: 
+   \begin{itemize}
+   \item {\tt table}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.  For
+     example, {\tt summary(z.out)\$table}
+   \end{itemize}
+
+\item From the {\tt sim()} output stored in {\tt s.out}:
+  
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from a
+     distribution defined by the expected values.
+   \item {\tt qi\$fd}: the simulated first differences between the
+     simulated expected values for {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The exponential function is part of the survival library by Terry
+Therneau, ported to R by Thomas Lumley.  Advanced users may wish to
+refer to \texttt{help(survfit)} in the survival library and
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality. 
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+ \end{document}
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/factor.bayes.Rnw b/inst/doc/factor.bayes.Rnw
new file mode 100644
index 0000000..67faae2
--- /dev/null
+++ b/inst/doc/factor.bayes.Rnw
@@ -0,0 +1,293 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/factorBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Factor Analysis}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,latent factors,continuous,explanatory variables, normal, Gibbs}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{\texttt{factor.bayes}: Bayesian Factor Analysis}
+\label{factor.bayes}
+
+Given some unobserved explanatory variables and observed dependent
+variables, the Normal theory factor analysis model estimates the
+latent factors.  The model is implemented using a Markov Chain Monte
+Carlo algorithm (Gibbs sampling with data augmentation).  For factor
+analysis with ordinal dependent variables, see ordered factor analysis
+(\Sref{factor.ord}), and for a mix of types of dependent variables,
+see the mixed factor analysis model (\Sref{factor.mix}).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1 ,Y2, Y3) ~ NULL, factors = 2, 
+                model = "factor.bayes", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} takes the following functions for {\tt factor.bayes}:  
+\begin{itemize}
+\item \texttt{Y1}, {\tt Y2}, and \texttt{Y3}: variables of interest in 
+factor analysis (manifest variables), assumed to be normally
+distributed. The model requires a minimum of three manifest variables.
+
+\item \texttt{factors}: number of the factors to be fitted (defaults to 2).
+
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following additional arguments for 
+model specification: 
+\begin{itemize}
+\item \texttt{lambda.constraints}: list containing the equality or 
+inequality constraints on the factor loadings.  Choose from one of the
+following forms:
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th loading for the variable named \texttt{varname} to be equal to \texttt{c}.
+
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be positive;
+
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be negative.
+\end{itemize} 
+
+\item \texttt{std.var}: defaults to {\tt FALSE} (manifest variables
+are rescaled to zero mean, but retain observed variance).  If
+\texttt{TRUE}, the manifest variables are rescaled to be mean zero and
+unit variance.
+
+\end{itemize}
+ In addition, {\tt zelig()} accepts the following additional inputs
+for {\tt bayes.factor}:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345. 
+
+\item \texttt{Lambda.start}: starting values of the factor loading
+matrix $\Lambda$, either a scalar (all unconstrained loadings are set
+to that value), or a matrix with compatible dimensions.  The default
+is \texttt{NA}, where the start value are set to be 0 for
+unconstrained factor loadings, and 0.5 or $-$0.5 for constrained
+factor loadings (depending on the nature of the constraints).
+
+\item \texttt{Psi.start}: starting values for the uniquenesses, either
+a scalar (the starting values for all diagonal elements of $\Psi$ are
+set to be this value), or a vector with length equal to the number of
+manifest variables.  In the latter case, the starting values of the
+diagonal elements of $\Psi$ take the values of \texttt{Psi.start}. The
+default value is \texttt{NA} where the starting values of the all the
+uniquenesses are set to be 0.5.
+
+\item \texttt{store.lambda}: defaults to {\tt TRUE}, which stores the
+posterior draws of the factor loadings.  
+
+\item \texttt{store.scores}: defaults to {\tt FALSE}.  If {\tt TRUE},
+stores the posterior draws of the factor scores.  (Storing factor
+scores may take large amount of memory for a large number of draws
+or observations.)
+
+\end{itemize}
+
+\noindent The model also accepts the following additional arguments to 
+specify prior parameters:
+
+\begin{itemize}
+
+\item \texttt{l0}: mean of the Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as
+$\Lambda$.  If a scalar value, that value will be the prior mean for
+all the factor loadings. Defaults to 0.
+
+\item \texttt{L0}: precision parameter of the Normal prior 
+for the factor loadings, either a scalar or a matrix with the same
+dimensions as $\Lambda$.  If \texttt{L0} takes a scalar value, then
+the precision matrix will be a diagonal matrix with the diagonal
+elements set to that value. The default value is 0, which leads to an
+improper prior.
+
+\item \texttt{a0}: the shape parameter of the Inverse Gamma prior for 
+the uniquenesses is \texttt{a0/2}. It can take a scalar value or a
+vector. The default value is 0.001.
+
+\item \texttt{b0}: the shape parameter of the Inverse Gamma prior for 
+the uniquenesses is \texttt{b0/2}. It can take a scalar value or a
+vector. The default value is 0.001.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCfactanal)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<BasicExample.data>>=
+ data(swiss)
+ names(swiss) <- c("Fert","Agr","Exam","Educ","Cath","InfMort")
+@ 
+Factor analysis:
+<<BasicExample.zelig>>=
+ z.out <- zelig(cbind(Agr, Exam, Educ, Cath, InfMort) ~ NULL, 
+                 model = "factor.bayes", data = swiss, factors = 2,
+	         verbose = TRUE, a0 = 1, b0 = 0.15, 
+                 burnin = 5000, mcmc = 50000)
+@ 
+%it is not in the demo and it fails 
+Checking for convergence before summarizing the estimates:
+<<BasicExample.coeff>>=
+ algor <- try(geweke.diag(z.out$coefficients), silent=T)
+if(class(algor)=="try-error")
+print(algor)
+@  
+
+Since the algorithm did not converge, we now add some constraints on
+$\Lambda$. 
+
+\item {Putting Constraints on $\Lambda$} \\
+Put constraints on Lambda to optimize the algorithm:
+<<Constraints.zelig>>= 
+z.out <- zelig(cbind(Agr, Exam, Educ, Cath, InfMort) ~ NULL,  
+               model = "factor.bayes", data = swiss, factors = 2,
+               lambda.constraints = list(Exam=list(1,"+"),
+                                    Exam=list(2,"-"), Educ=c(2,0),
+                                    InfMort=c(1,0)), 
+               verbose = TRUE, a0 = 1, b0 = 0.15, 
+               burnin = 5000, mcmc = 50000)
+
+ geweke.diag(z.out$coefficients)
+ heidel.diag(z.out$coefficients)
+ raftery.diag(z.out$coefficients)
+ summary(z.out)
+@  
+\end{enumerate}
+
+\subsubsection{Model} 
+Suppose for observation $i$ we observe $K$ variables and hypothesize
+that there are $d$ underlying factors such that:  
+\begin{eqnarray*}
+Y_i = \Lambda \phi_i+\epsilon_i
+\end{eqnarray*}
+where $Y_{i}$ is the vector of $K$ manifest variables for observation
+$i$. $\Lambda$ is the $K \times d$ factor loading matrix and $\phi_i$
+is the $d$-vector of latent factor scores. Both $\Lambda$ and $\phi$
+need to be estimated.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by:
+\begin{eqnarray*}
+\epsilon_{i}  \sim \textrm{Normal}(0, \Psi).
+\end{eqnarray*}
+where $\Psi$ is a diagonal, positive definite matrix. The diagonal elements
+of $\Psi$ are referred to as uniquenesses.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_i = E(Y_i) = \Lambda\phi_i
+\end{eqnarray*}
+
+\item The independent conjugate \emph{prior} for each $\Lambda_{ij}$  is given by
+\begin{eqnarray*}
+\Lambda_{ij} \sim \textrm{Normal}(l_{0_{ij}}, L_{0_{ij}}^{-1})
+\textrm{ for } i=1,\ldots, k; \quad j=1,\ldots, d. 
+\end{eqnarray*}
+
+\item The independent conjugate \emph{prior} for each $\Psi_{ii}$ is given by
+\begin{eqnarray*}
+\Psi_{ii} \sim \textrm{InverseGamma}(\frac{a_0}{2}, \frac{b_0}{2}), \textrm{ for } 
+i = 1, \ldots, k.
+\end{eqnarray*}
+
+\item The \emph{prior} for $\phi_i$ is
+\begin{eqnarray*}
+\phi_i &\sim& \textrm{Normal}(0, I_d), \textrm{ for } i = 1, \ldots, n.
+\end{eqnarray*}
+where $I_d$ is a $ d\times d $ identity matrix.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3), model = "factor.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated factor loadings and the uniquenesses.  If
+\texttt{store.scores = TRUE}, the estimated factors scores are also
+contained in \texttt{coefficients}.
+
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()}
+procedure is not applicable for factor analysis models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian factor analysis 
+\input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{factor.bayes} to work with Zelig.
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+ \end{document}
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
diff --git a/inst/doc/factor.bayes.pdf b/inst/doc/factor.bayes.pdf
new file mode 100644
index 0000000..199d174
Binary files /dev/null and b/inst/doc/factor.bayes.pdf differ
diff --git a/inst/doc/factor.bayes.tex b/inst/doc/factor.bayes.tex
new file mode 100644
index 0000000..0de5d80
--- /dev/null
+++ b/inst/doc/factor.bayes.tex
@@ -0,0 +1,283 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Factor Analysis}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,latent factors,continuous,explanatory variables, normal, Gibbs}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{factor.bayes}: Bayesian Factor Analysis}
+\label{factor.bayes}
+
+Given some unobserved explanatory variables and observed dependent
+variables, the Normal theory factor analysis model estimates the
+latent factors.  The model is implemented using a Markov Chain Monte
+Carlo algorithm (Gibbs sampling with data augmentation).  For factor
+analysis with ordinal dependent variables, see ordered factor analysis
+(\Sref{factor.ord}), and for a mix of types of dependent variables,
+see the mixed factor analysis model (\Sref{factor.mix}).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1 ,Y2, Y3) ~ NULL, factors = 2, 
+                model = "factor.bayes", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} takes the following functions for {\tt factor.bayes}:  
+\begin{itemize}
+\item \texttt{Y1}, {\tt Y2}, and \texttt{Y3}: variables of interest in 
+factor analysis (manifest variables), assumed to be normally
+distributed. The model requires a minimum of three manifest variables.
+
+\item \texttt{factors}: number of the factors to be fitted (defaults to 2).
+
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following additional arguments for 
+model specification: 
+\begin{itemize}
+\item \texttt{lambda.constraints}: list containing the equality or 
+inequality constraints on the factor loadings.  Choose from one of the
+following forms:
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th loading for the variable named \texttt{varname} to be equal to \texttt{c}.
+
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be positive;
+
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be negative.
+\end{itemize} 
+
+\item \texttt{std.var}: defaults to {\tt FALSE} (manifest variables
+are rescaled to zero mean, but retain observed variance).  If
+\texttt{TRUE}, the manifest variables are rescaled to be mean zero and
+unit variance.
+
+\end{itemize}
+ In addition, {\tt zelig()} accepts the following additional inputs
+for {\tt bayes.factor}:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345. 
+
+\item \texttt{Lambda.start}: starting values of the factor loading
+matrix $\Lambda$, either a scalar (all unconstrained loadings are set
+to that value), or a matrix with compatible dimensions.  The default
+is \texttt{NA}, where the start value are set to be 0 for
+unconstrained factor loadings, and 0.5 or $-$0.5 for constrained
+factor loadings (depending on the nature of the constraints).
+
+\item \texttt{Psi.start}: starting values for the uniquenesses, either
+a scalar (the starting values for all diagonal elements of $\Psi$ are
+set to be this value), or a vector with length equal to the number of
+manifest variables.  In the latter case, the starting values of the
+diagonal elements of $\Psi$ take the values of \texttt{Psi.start}. The
+default value is \texttt{NA} where the starting values of the all the
+uniquenesses are set to be 0.5.
+
+\item \texttt{store.lambda}: defaults to {\tt TRUE}, which stores the
+posterior draws of the factor loadings.  
+
+\item \texttt{store.scores}: defaults to {\tt FALSE}.  If {\tt TRUE},
+stores the posterior draws of the factor scores.  (Storing factor
+scores may take large amount of memory for a large number of draws
+or observations.)
+
+\end{itemize}
+
+\noindent The model also accepts the following additional arguments to 
+specify prior parameters:
+
+\begin{itemize}
+
+\item \texttt{l0}: mean of the Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as
+$\Lambda$.  If a scalar value, that value will be the prior mean for
+all the factor loadings. Defaults to 0.
+
+\item \texttt{L0}: precision parameter of the Normal prior 
+for the factor loadings, either a scalar or a matrix with the same
+dimensions as $\Lambda$.  If \texttt{L0} takes a scalar value, then
+the precision matrix will be a diagonal matrix with the diagonal
+elements set to that value. The default value is 0, which leads to an
+improper prior.
+
+\item \texttt{a0}: the shape parameter of the Inverse Gamma prior for 
+the uniquenesses is \texttt{a0/2}. It can take a scalar value or a
+vector. The default value is 0.001.
+
+\item \texttt{b0}: the shape parameter of the Inverse Gamma prior for 
+the uniquenesses is \texttt{b0/2}. It can take a scalar value or a
+vector. The default value is 0.001.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCfactanal)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(swiss)
+> names(swiss) <- c("Fert", "Agr", "Exam", "Educ", "Cath", "InfMort")
+\end{Sinput}
+\end{Schunk}
+Factor analysis:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Agr, Exam, Educ, Cath, InfMort) ~ NULL, 
++     model = "factor.bayes", data = swiss, factors = 2, verbose = TRUE, 
++     a0 = 1, b0 = 0.15, burnin = 5000, mcmc = 50000)
+\end{Sinput}
+\end{Schunk}
+%it is not in the demo and it fails 
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> algor <- try(geweke.diag(z.out$coefficients), silent = T)
+> if (class(algor) == "try-error") print(algor)
+\end{Sinput}
+\end{Schunk}
+
+Since the algorithm did not converge, we now add some constraints on
+$\Lambda$. 
+
+\item {Putting Constraints on $\Lambda$} \\
+Put constraints on Lambda to optimize the algorithm:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Agr, Exam, Educ, Cath, InfMort) ~ NULL, 
++     model = "factor.bayes", data = swiss, factors = 2, lambda.constraints = list(Exam = list(1, 
++         "+"), Exam = list(2, "-"), Educ = c(2, 0), InfMort = c(1, 
++         0)), verbose = TRUE, a0 = 1, b0 = 0.15, burnin = 5000, 
++     mcmc = 50000)
+> geweke.diag(z.out$coefficients)
+> heidel.diag(z.out$coefficients)
+> raftery.diag(z.out$coefficients)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model} 
+Suppose for observation $i$ we observe $K$ variables and hypothesize
+that there are $d$ underlying factors such that:  
+\begin{eqnarray*}
+Y_i = \Lambda \phi_i+\epsilon_i
+\end{eqnarray*}
+where $Y_{i}$ is the vector of $K$ manifest variables for observation
+$i$. $\Lambda$ is the $K \times d$ factor loading matrix and $\phi_i$
+is the $d$-vector of latent factor scores. Both $\Lambda$ and $\phi$
+need to be estimated.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by:
+\begin{eqnarray*}
+\epsilon_{i}  \sim \textrm{Normal}(0, \Psi).
+\end{eqnarray*}
+where $\Psi$ is a diagonal, positive definite matrix. The diagonal elements
+of $\Psi$ are referred to as uniquenesses.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_i = E(Y_i) = \Lambda\phi_i
+\end{eqnarray*}
+
+\item The independent conjugate \emph{prior} for each $\Lambda_{ij}$  is given by
+\begin{eqnarray*}
+\Lambda_{ij} \sim \textrm{Normal}(l_{0_{ij}}, L_{0_{ij}}^{-1})
+\textrm{ for } i=1,\ldots, k; \quad j=1,\ldots, d. 
+\end{eqnarray*}
+
+\item The independent conjugate \emph{prior} for each $\Psi_{ii}$ is given by
+\begin{eqnarray*}
+\Psi_{ii} \sim \textrm{InverseGamma}(\frac{a_0}{2}, \frac{b_0}{2}), \textrm{ for } 
+i = 1, \ldots, k.
+\end{eqnarray*}
+
+\item The \emph{prior} for $\phi_i$ is
+\begin{eqnarray*}
+\phi_i &\sim& \textrm{Normal}(0, I_d), \textrm{ for } i = 1, \ldots, n.
+\end{eqnarray*}
+where $I_d$ is a $ d\times d $ identity matrix.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3), model = "factor.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated factor loadings and the uniquenesses.  If
+\texttt{store.scores = TRUE}, the estimated factors scores are also
+contained in \texttt{coefficients}.
+
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()}
+procedure is not applicable for factor analysis models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian factor analysis 
+\input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{factor.bayes} to work with Zelig.
+
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+ \end{document}
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
diff --git a/inst/doc/factor.mix.Rnw b/inst/doc/factor.mix.Rnw
new file mode 100644
index 0000000..db753bb
--- /dev/null
+++ b/inst/doc/factor.mix.Rnw
@@ -0,0 +1,299 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/factorMix}
+\include{zinput}
+%\VignetteIndexEntry{Mixed Data Factor Analysis}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,mixed, factors latent, continuous, ordinal,Gibbs}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+\
+\section{\texttt{factor.mix}: Mixed Data Factor Analysis}\label{factor.mix}
+
+Mixed data factor analysis takes both continuous and ordinal dependent
+variables and estimates a model for a given number of latent factors.
+The model is estimated using a Markov Chain Monte Carlo algorithm
+(Gibbs sampler with data augmentation).  Alternative models include
+Bayesian factor analysis for continuous variables
+(\Sref{factor.bayes}) and Bayesian factor analysis for ordinal
+variables (\Sref{factor.ord}).  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1 ,Y2, Y3) ~ NULL, factors = 1, 
+                model = "factor.mix", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments for {\tt factor.mix}:  
+\begin{itemize}
+
+\item \texttt{Y1}, {\tt Y2}, \texttt{Y3}, {\tt \dots}: The dependent variables of
+interest, which can be a mix of ordinal and continuous variables.  You
+must have more dependent variables than factors.
+
+\item \texttt{factors}: The number of the factors to be fitted.
+
+\end{itemize}
+
+
+\subsubsection{Additional Inputs}
+
+The model accepts the following additional arguments to monitor
+convergence:  
+\begin{itemize}
+\item \texttt{lambda.constraints}: A list that contains the equality or 
+inequality constraints on the factor loadings. 
+
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th loading for the variable named \texttt{varname} to be equal to \texttt{c}.
+
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be positive;
+
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be negative.
+\end{itemize} 
+Unlike Bayesian factor analysis for continuous variables
+(\Sref{factor.bayes}), the first column of $\Lambda$ corresponds to
+negative item difficulty parameters and should not be constrained in
+general.
+
+\item \texttt{std.mean}: defaults to {\tt TRUE}, which rescales the
+continuous manifest variables to have mean 0.  
+
+\item \texttt{std.var}: defaults to {\tt TRUE}. which rescales the
+continuous manifest variables to have unit variance.  
+\end{itemize}
+
+
+\noindent \texttt{factor.mix} accepts the following additional arguments 
+to monitor the sampling scheme for the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded. The default value is 1,000.
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin.
+ The default value is 20,000.
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: tuning parameter, which can be either a
+scalar or a vector of length $K$. The value of the tuning parameter
+must be positive. The default value is \texttt{1.2}.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen. The default 
+is \texttt{FALSE}.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{lambda.start}: starting values of the factor loading
+matrix $\Lambda$ for the Markov chain, either a scalar (starting
+values of the unconstrained loadings will be set to that value), or a
+matrix with compatible dimensions.  The default is \texttt{NA}, where
+the start values for the first column of $\Lambda$ are set based on
+the observed pattern, while for the rest of the columns of $\Lambda$,
+the start values are set to be 0 for unconstrained factor loadings,
+and 1 or $-$1 for constrained factor loadings (depending on the nature
+of the constraints).
+
+\item \texttt{psi.start}: starting values for the diagonals of the error variance
+(uniquenesses) matrix. Since the starting values for the ordinal
+variables are constrained to 1 (to identify the model), you may only
+specify the starting values for the continuous variables.  For the
+continuous variables, you may specify {\tt psi.start} as a scalar or a
+vector with length equal to the number of continuous variables.  If a
+scalar, that starting value is recycled for all continuous variables.
+If a vector, the starting values should correspond to each of the
+continuous variables.  The default value is \texttt{NA}, which means
+the starting values of all the continuous variable uniqueness are set
+to 0.5.
+
+\item \texttt{store.lambda}: defaults to {\tt TRUE}, storing the
+posterior draws of the factor loadings.  
+
+\item \texttt{store.scores}: defaults to {\tt FALSE}.  If {\tt TRUE},
+the posterior draws of the factor scores are stored. (Storing factor
+scores may take large amount of memory for a a large number of draws
+or observations.)
+
+\end{itemize}
+Use the following additional arguments to specify prior parameters used in the model:
+\begin{itemize}
+
+\item \texttt{l0}: mean of the Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as
+$\Lambda$.  If a scalar value, then that value will be the prior mean
+for all the factor loadings. The default value is 0.
+
+\item \texttt{L0}: precision parameter of Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as $\Lambda$.  
+If a scalar value, then the precision matrix will be 
+a diagonal matrix with the diagonal elements set to that value. 
+The default value is 0 which leads to an improper prior.
+
+\item \texttt{a0}: {\tt a0/2} is the shape parameter of the Inverse Gamma priors for 
+the uniquenesses. It can take a scalar value or a vector. The default
+value is 0.001.
+
+\item \texttt{b0}: {\tt b0/2} is the shape parameter of the Inverse Gamma priors for 
+the uniquenesses. It can take a scalar value or a vector. The default
+value is 0.001.
+
+\end{itemize}
+Zelig users may wish to refer to \texttt{help(MCMCmixfactanal)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<Examples.data>>=
+ data(PErisk)
+@ 
+Factor analysis for mixed data using \texttt{factor.mix}:
+<<Examples.zelig>>=
+ z.out<-zelig(cbind(courts, barb2, prsexp2, prscorr2, gdpw2) ~ NULL, 
+               data = PErisk, model = "factor.mix", factors = 1,  
+               burnin = 5000, mcmc = 100000, thin = 50, verbose = TRUE, 
+               L0 = 0.25, tune=1.2)
+@ 
+
+Checking for convergence before summarizing the estimates:
+<<Examples.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<Examples.heidel>>=
+ heidel.diag(z.out$coefficients)
+@ 
+<<Examples.summary>>=
+ summary(z.out)
+@ 
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be a $K$-vector of observed variables for observation $i$, 
+The $k$th variable can be either continuous or ordinal. When $Y_{ik}$ is an
+ordinal variable, it takes value from 1 to $J_k$ for $k=1,\ldots, K$ and for 
+$i =1, \ldots, n$. The distribution of $Y_{ik}$ is assumed to be 
+governed by another $K$-vector of unobserved continuous variable $Y_{ik}^*$. 
+There are $d$ underlying factors. When $Y_{ik}$ is continuous, we let 
+$Y_{ik}^*=Y_{ik}$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is described in terms of $Y_i^*$:
+\begin{eqnarray*}
+Y_{i}^*  &\sim& \textrm{Normal}_K (\mu_i, I_K),
+\end{eqnarray*}
+where $Y_i^*=(Y_{i1}^*, \ldots, Y_{iK}^*)$, and $\mu_i=(\mu_{i1},\ldots, \mu_{iK})$.
+
+For ordinal $Y_{ik}$,
+\begin{eqnarray*}
+Y_{ik} = j \quad {\rm if} \quad \gamma_{(j-1),k} \le Y_{ik}^* \le
+\gamma_{jk} \quad \textrm{ for } \quad j=1,\ldots, J_k; k=1,\ldots, K.
+\end{eqnarray*}
+where $\gamma_{jk}, j=0,\ldots, J$ are the threshold parameters for the $k$th
+variable with the following constraints, $\gamma_{lk} < \gamma_{mk}$ for $l < m$, and $\gamma_{0k}=-\infty, \gamma_{J_k k}=\infty$ for any $k=1, \ldots, K$.
+It follows that the probability of observing $Y_{ik}$ belonging to category 
+$j$ is,
+\begin{eqnarray*}
+\Pr(Y_{ik}=j) &=&\Phi(\gamma_{jk} \mid \mu_{ik})-\Phi(\gamma_{(j-1),k} \mid \mu_{ik}) \quad 
+\textrm{ for } j=1,\ldots,J_k
+\end{eqnarray*}
+where $\Phi(\cdot\mid\mu_{ik})$ is the cumulative distribution function of the 
+Normal distribution with mean $\mu_{ik}$ and variance 1.
+
+\item The \emph{systematic component} is given by,
+\begin{eqnarray*}
+\mu_i &=& \Lambda\phi_i,
+\end{eqnarray*}
+where $\Lambda$ is a $K \times d$ matrix of factor loadings for each variable,
+$\phi_i$ is a $d$-vector of factor scores for observation $i$. Note both 
+$\Lambda$ and $\phi$ are estimated.. 
+
+\item The independent conjugate \emph{prior} for each $\Lambda_{ij}$  is given by
+\begin{eqnarray*}
+\Lambda_{ij} &\sim& \textrm{Normal}(l_{0_{ij}}, L_{0_{ij}}^{-1}) 
+\textrm{ for } i=1,\ldots, k; \quad j=1,\ldots, d.
+\end{eqnarray*}
+
+\item The \emph{prior} for $\phi_i$ is,
+\begin{eqnarray*}
+\phi_{i} \sim \textrm{Normal}(0, I_{d-1}), \quad {\rm for} \quad i=2, \ldots, n.
+\end{eqnarray*}
+where $I_{d-1}$ is a $ (d-1) \times (d-1) $ identity matrix. Note the
+first element of $\phi_i$ is 1. 
+\end{itemize}
+
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3), model = "factor.mix", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated factor loadings, the estimated cut points $\gamma$ for each
+variable. Note the first element of $\gamma$ is normalized to be 0. If 
+\texttt{store.scores = TRUE}, the estimated factors scores are also contained in 
+\texttt{coefficients}.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()} procedure is
+not applicable for factor analysis models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+Factor analysis for mixed dependent variables \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{factor.mix} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/factor.mix.pdf b/inst/doc/factor.mix.pdf
new file mode 100644
index 0000000..4c78bf6
Binary files /dev/null and b/inst/doc/factor.mix.pdf differ
diff --git a/inst/doc/factor.mix.tex b/inst/doc/factor.mix.tex
new file mode 100644
index 0000000..8c5c9dd
--- /dev/null
+++ b/inst/doc/factor.mix.tex
@@ -0,0 +1,295 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Mixed Data Factor Analysis}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,mixed, factors latent, continuous, ordinal,Gibbs}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\
+\section{\texttt{factor.mix}: Mixed Data Factor Analysis}\label{factor.mix}
+
+Mixed data factor analysis takes both continuous and ordinal dependent
+variables and estimates a model for a given number of latent factors.
+The model is estimated using a Markov Chain Monte Carlo algorithm
+(Gibbs sampler with data augmentation).  Alternative models include
+Bayesian factor analysis for continuous variables
+(\Sref{factor.bayes}) and Bayesian factor analysis for ordinal
+variables (\Sref{factor.ord}).  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1 ,Y2, Y3) ~ NULL, factors = 1, 
+                model = "factor.mix", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments for {\tt factor.mix}:  
+\begin{itemize}
+
+\item \texttt{Y1}, {\tt Y2}, \texttt{Y3}, {\tt \dots}: The dependent variables of
+interest, which can be a mix of ordinal and continuous variables.  You
+must have more dependent variables than factors.
+
+\item \texttt{factors}: The number of the factors to be fitted.
+
+\end{itemize}
+
+
+\subsubsection{Additional Inputs}
+
+The model accepts the following additional arguments to monitor
+convergence:  
+\begin{itemize}
+\item \texttt{lambda.constraints}: A list that contains the equality or 
+inequality constraints on the factor loadings. 
+
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th loading for the variable named \texttt{varname} to be equal to \texttt{c}.
+
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be positive;
+
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be negative.
+\end{itemize} 
+Unlike Bayesian factor analysis for continuous variables
+(\Sref{factor.bayes}), the first column of $\Lambda$ corresponds to
+negative item difficulty parameters and should not be constrained in
+general.
+
+\item \texttt{std.mean}: defaults to {\tt TRUE}, which rescales the
+continuous manifest variables to have mean 0.  
+
+\item \texttt{std.var}: defaults to {\tt TRUE}. which rescales the
+continuous manifest variables to have unit variance.  
+\end{itemize}
+
+
+\noindent \texttt{factor.mix} accepts the following additional arguments 
+to monitor the sampling scheme for the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded. The default value is 1,000.
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin.
+ The default value is 20,000.
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: tuning parameter, which can be either a
+scalar or a vector of length $K$. The value of the tuning parameter
+must be positive. The default value is \texttt{1.2}.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen. The default 
+is \texttt{FALSE}.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{lambda.start}: starting values of the factor loading
+matrix $\Lambda$ for the Markov chain, either a scalar (starting
+values of the unconstrained loadings will be set to that value), or a
+matrix with compatible dimensions.  The default is \texttt{NA}, where
+the start values for the first column of $\Lambda$ are set based on
+the observed pattern, while for the rest of the columns of $\Lambda$,
+the start values are set to be 0 for unconstrained factor loadings,
+and 1 or $-$1 for constrained factor loadings (depending on the nature
+of the constraints).
+
+\item \texttt{psi.start}: starting values for the diagonals of the error variance
+(uniquenesses) matrix. Since the starting values for the ordinal
+variables are constrained to 1 (to identify the model), you may only
+specify the starting values for the continuous variables.  For the
+continuous variables, you may specify {\tt psi.start} as a scalar or a
+vector with length equal to the number of continuous variables.  If a
+scalar, that starting value is recycled for all continuous variables.
+If a vector, the starting values should correspond to each of the
+continuous variables.  The default value is \texttt{NA}, which means
+the starting values of all the continuous variable uniqueness are set
+to 0.5.
+
+\item \texttt{store.lambda}: defaults to {\tt TRUE}, storing the
+posterior draws of the factor loadings.  
+
+\item \texttt{store.scores}: defaults to {\tt FALSE}.  If {\tt TRUE},
+the posterior draws of the factor scores are stored. (Storing factor
+scores may take large amount of memory for a a large number of draws
+or observations.)
+
+\end{itemize}
+Use the following additional arguments to specify prior parameters used in the model:
+\begin{itemize}
+
+\item \texttt{l0}: mean of the Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as
+$\Lambda$.  If a scalar value, then that value will be the prior mean
+for all the factor loadings. The default value is 0.
+
+\item \texttt{L0}: precision parameter of Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as $\Lambda$.  
+If a scalar value, then the precision matrix will be 
+a diagonal matrix with the diagonal elements set to that value. 
+The default value is 0 which leads to an improper prior.
+
+\item \texttt{a0}: {\tt a0/2} is the shape parameter of the Inverse Gamma priors for 
+the uniquenesses. It can take a scalar value or a vector. The default
+value is 0.001.
+
+\item \texttt{b0}: {\tt b0/2} is the shape parameter of the Inverse Gamma priors for 
+the uniquenesses. It can take a scalar value or a vector. The default
+value is 0.001.
+
+\end{itemize}
+Zelig users may wish to refer to \texttt{help(MCMCmixfactanal)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(PErisk)
+\end{Sinput}
+\end{Schunk}
+Factor analysis for mixed data using \texttt{factor.mix}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(courts, barb2, prsexp2, prscorr2, gdpw2) ~ 
++     NULL, data = PErisk, model = "factor.mix", factors = 1, burnin = 5000, 
++     mcmc = 1e+05, thin = 50, verbose = TRUE, L0 = 0.25, tune = 1.2)
+\end{Sinput}
+\end{Schunk}
+
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be a $K$-vector of observed variables for observation $i$, 
+The $k$th variable can be either continuous or ordinal. When $Y_{ik}$ is an
+ordinal variable, it takes value from 1 to $J_k$ for $k=1,\ldots, K$ and for 
+$i =1, \ldots, n$. The distribution of $Y_{ik}$ is assumed to be 
+governed by another $K$-vector of unobserved continuous variable $Y_{ik}^*$. 
+There are $d$ underlying factors. When $Y_{ik}$ is continuous, we let 
+$Y_{ik}^*=Y_{ik}$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is described in terms of $Y_i^*$:
+\begin{eqnarray*}
+Y_{i}^*  &\sim& \textrm{Normal}_K (\mu_i, I_K),
+\end{eqnarray*}
+where $Y_i^*=(Y_{i1}^*, \ldots, Y_{iK}^*)$, and $\mu_i=(\mu_{i1},\ldots, \mu_{iK})$.
+
+For ordinal $Y_{ik}$,
+\begin{eqnarray*}
+Y_{ik} = j \quad {\rm if} \quad \gamma_{(j-1),k} \le Y_{ik}^* \le
+\gamma_{jk} \quad \textrm{ for } \quad j=1,\ldots, J_k; k=1,\ldots, K.
+\end{eqnarray*}
+where $\gamma_{jk}, j=0,\ldots, J$ are the threshold parameters for the $k$th
+variable with the following constraints, $\gamma_{lk} < \gamma_{mk}$ for $l < m$, and $\gamma_{0k}=-\infty, \gamma_{J_k k}=\infty$ for any $k=1, \ldots, K$.
+It follows that the probability of observing $Y_{ik}$ belonging to category 
+$j$ is,
+\begin{eqnarray*}
+\Pr(Y_{ik}=j) &=&\Phi(\gamma_{jk} \mid \mu_{ik})-\Phi(\gamma_{(j-1),k} \mid \mu_{ik}) \quad 
+\textrm{ for } j=1,\ldots,J_k
+\end{eqnarray*}
+where $\Phi(\cdot\mid\mu_{ik})$ is the cumulative distribution function of the 
+Normal distribution with mean $\mu_{ik}$ and variance 1.
+
+\item The \emph{systematic component} is given by,
+\begin{eqnarray*}
+\mu_i &=& \Lambda\phi_i,
+\end{eqnarray*}
+where $\Lambda$ is a $K \times d$ matrix of factor loadings for each variable,
+$\phi_i$ is a $d$-vector of factor scores for observation $i$. Note both 
+$\Lambda$ and $\phi$ are estimated.. 
+
+\item The independent conjugate \emph{prior} for each $\Lambda_{ij}$  is given by
+\begin{eqnarray*}
+\Lambda_{ij} &\sim& \textrm{Normal}(l_{0_{ij}}, L_{0_{ij}}^{-1}) 
+\textrm{ for } i=1,\ldots, k; \quad j=1,\ldots, d.
+\end{eqnarray*}
+
+\item The \emph{prior} for $\phi_i$ is,
+\begin{eqnarray*}
+\phi_{i} \sim \textrm{Normal}(0, I_{d-1}), \quad {\rm for} \quad i=2, \ldots, n.
+\end{eqnarray*}
+where $I_{d-1}$ is a $ (d-1) \times (d-1) $ identity matrix. Note the
+first element of $\phi_i$ is 1. 
+\end{itemize}
+
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3), model = "factor.mix", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated factor loadings, the estimated cut points $\gamma$ for each
+variable. Note the first element of $\gamma$ is normalized to be 0. If 
+\texttt{store.scores = TRUE}, the estimated factors scores are also contained in 
+\texttt{coefficients}.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()} procedure is
+not applicable for factor analysis models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+Factor analysis for mixed dependent variables \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{factor.mix} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/factor.ord.Rnw b/inst/doc/factor.ord.Rnw
new file mode 100644
index 0000000..90ccf90
--- /dev/null
+++ b/inst/doc/factor.ord.Rnw
@@ -0,0 +1,276 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/factorOrd}
+\include{zinput}
+%\VignetteIndexEntry{Ordinal Data Factor Analysis}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,factors latent, ordinal,Gibbs}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+\section{\texttt{factor.ord}: Ordinal Data Factor Analysis}
+\label{factor.ord}
+
+Given some unobserved explanatory variables and observed ordinal
+dependent variables, this model estimates latent factors using a Gibbs
+sampler with data augmentation.  For factor analysis for continuous
+data, see \Sref{factor.bayes}.  For factor analysis for mixed data
+(including both continuous and ordinal variables), see
+\Sref{factor.mix}.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1 ,Y2, Y3) ~ NULL, factors = 1, 
+                model = "factor.ord", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments for {\tt factor.ord}:  :
+\begin{itemize}
+\item \texttt{Y1, Y2}, and \texttt{Y3}: variables of interest in
+factor analysis (manifest variables), assumed to be ordinal
+variables. The number of manifest variables must be greater than the
+number of the factors.
+
+\item \texttt{factors}: number of the factors to be fitted (defaults
+to 1).
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following arguments for model
+specification:  
+\begin{itemize}
+\item \texttt{lambda.constraints}: list that contains the equality or 
+inequality constraints on the factor loadings. A typical entry in the list
+has one of the following forms: 
+\begin{itemize}
+\item {\tt varname = list()}: by default, no constraints are imposed.
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th loading for the variable named \texttt{varname} to be equal to \texttt{c};
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be positive;
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be negative. 
+\end{itemize}
+%Unlike \texttt{factanal} the $\Lambda$ matrix 
+%has \texttt{factors+1} columns. 
+The first column of $\Lambda$ should not be constrained in general.
+
+\item \texttt{drop.constantvars}: defaults to {\tt TRUE}, dropping the
+manifest variables that have no variation before fitting the model. 
+
+\end{itemize}
+
+The model accepts the following arguments to monitor the convergence
+of the Markov chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: tuning parameter for Metropolis-Hasting sampling,
+either a scalar or a vector of length $K$. The value of the tuning
+parameter must be positive. The default value is 1.2.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the
+progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The 
+default is \texttt{NA} which corresponds to a random seed 12345. 
+
+\item \texttt{Lambda.start}: starting values of the factor loading
+matrix $\Lambda$ for the Markov chain, either a scalar (all
+unconstrained loadings are set to that value), or a matrix with
+compatible dimensions.  The default is {\tt NA}, such that the start
+values for the first column are set based on the observed pattern,
+while the remaining columns have start values set to 0 for
+unconstrained factor loadings, and -1 or 1 for constrained loadings
+(depending on the nature of the constraints).  
+
+\item \texttt{store.lambda}: defaults to {\tt TRUE}, which stores the
+posterior draws of the factor loadings.  
+
+\item \texttt{store.scores}: defaults to {\tt FALSE}.  If {\tt TRUE},
+stores the posterior draws of the factor scores.  (Storing factor
+scores may take large amount of memory for a a large number of draws
+or observations.)
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{l0}: mean of the Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as
+$\Lambda$.  If a scalar value, that value will be the prior mean for
+all the factor loadings. Defaults to 0.
+
+\item \texttt{L0}: precision parameter of the Normal prior 
+for the factor loadings, either a scalar or a matrix with the same
+dimensions as $\Lambda$.  If \texttt{L0} takes a scalar value, then
+the precision matrix will be a diagonal matrix with the diagonal
+elements set to that value. The default value is 0, which leads to an
+improper prior.
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCordfactanal)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<Examples.data>>=
+ data(newpainters)
+@ 
+
+Factor analysis for ordinal data using \texttt{factor.ord}:
+<<Examples.zelig>>=
+ z.out <- zelig(cbind(Composition,Drawing,Colour,Expression)~NULL,
+                    data=newpainters, model="factor.ord",
+                    factors=1, L0=0.5,
+                    burin=5000,mcmc=30000, thin=5, tune=1.2,verbose=TRUE)
+                    
+@ 
+Checking for convergence before summarizing the estimates:
+<<Examples.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<Examples.heidel>>=
+ heidel.diag(z.out$coefficients)
+@ 
+<<Examples.raftery>>=
+ raftery.diag(z.out$coefficients)
+@ 
+<<Examples.summary>>=
+ summary(z.out) 
+@ 
+
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be a vector of $K$ observed ordinal variables for
+observation $i$, each ordinal variable $k$ for $k=1,\ldots, K$ takes
+integer value $j=1, \ldots, J_k$. The distribution of $Y_i$ is assumed
+to be governed by another $k$-vector of unobserved continuous variable
+$Y_i^*$. There are $d$ underlying factors.
+
+\begin{itemize}
+\item The \emph{stochastic component} is described in terms of the latent
+variable $Y_i^*$:
+\begin{eqnarray*}
+Y_{i}^*  \sim \textrm{Normal}_K(\mu_i, I_K),
+\end{eqnarray*}
+where $Y_i^*=(Y_{i1}^*, \ldots, Y_{iK}^*)$, and $\mu_i$ is the mean vector
+for $Y_i^*$, and $\mu_i=(\mu_{i1},\ldots, \mu_{iK})$.
+
+Instead of $Y_{ik}^*$, we observe ordinal  variable $Y_{ik}$,
+\begin{eqnarray*}
+Y_{ik} = j \textrm{ if } \gamma_{(j-1),k} \le Y_{ik}^* \le \gamma_{jk}
+\textrm{ for } \quad j=1,\ldots, J_k, k=1,\ldots, K.
+\end{eqnarray*}
+where $\gamma_{jk}, j=0,\ldots, J$ are the threshold parameters for
+the $k$th variable with the following constraints, $\gamma_{lk} <
+\gamma_{mk}$ for $l < m$, and $\gamma_{0k}=-\infty, \gamma_{J_k
+k}=\infty$ for any $k=1, \ldots, K$.  It follows that the probability
+of observing $Y_{ik}$ belonging to category $j$ is,
+\begin{eqnarray*}
+\Pr(Y_{ik}=j) =\Phi(\gamma_{jk} \mid \mu_{ik})-\Phi(\gamma_{(j-1),k} \mid \mu_{ik}) \textrm{ for } j=1,\ldots,J_k
+\end{eqnarray*}
+where $\Phi(\cdot \mid\mu_{ik})$ is the cumulative distribution
+function of the Normal distribution with mean $\mu_{ik}$ and variance
+1.
+
+\item The \emph{systematic component} is given by,
+\begin{eqnarray*}
+\mu_i = \Lambda\phi_i,
+\end{eqnarray*}
+where $\Lambda$ is a $K \times d$ matrix of factor loadings for each
+variable, $\phi_i$ is a $d$-vector of factor scores for observation
+$i$. Note both $\Lambda$ and $\phi$ need to be estimated.
+
+\item The independent conjugate \emph{prior} for each element of $\Lambda$,
+$\Lambda_{ij}$ is given by
+\begin{eqnarray*}
+\Lambda_{ij} \sim \textrm{Normal}(l_{0_{ij}}, L_{0_{ij}}^{-1})
+\textrm{ for } i=1,\ldots, k; \quad j=1,\ldots, d.
+\end{eqnarray*}
+
+\item The \emph{prior} for $\phi_i$ is,
+\begin{eqnarray*}
+\phi_{i(2:d)} \sim \textrm{Normal}(0, I_{d-1}), \textrm{ for } \quad i=2, \ldots, n.
+\end{eqnarray*}
+where $I_{d-1}$ is a $ (d-1)\times (d-1) $ identity matrix. Note the
+first element of $\phi_i$ is 1.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3), model = "factor.ord", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior
+distribution of the \texttt{coefficients} by using
+\texttt{z.out\$coefficients}, and view a default summary of
+information through \texttt{summary(z.out)}. Other elements available
+through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated factor loadings, the estimated cut points $\gamma$ for each
+variable. Note the first element of $\gamma$ is normalized to be 0. If 
+\texttt{store.scores=TRUE}, the estimated factors scores are also contained in 
+\texttt{coefficients}.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()} procedure is
+not applicable for factor analysis models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+The \texttt{factor.ord} \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{factor.ord} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/factor.ord.pdf b/inst/doc/factor.ord.pdf
new file mode 100644
index 0000000..d071f59
Binary files /dev/null and b/inst/doc/factor.ord.pdf differ
diff --git a/inst/doc/factor.ord.tex b/inst/doc/factor.ord.tex
new file mode 100644
index 0000000..78b8111
--- /dev/null
+++ b/inst/doc/factor.ord.tex
@@ -0,0 +1,274 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Ordinal Data Factor Analysis}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,factors latent, ordinal,Gibbs}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\section{\texttt{factor.ord}: Ordinal Data Factor Analysis}
+\label{factor.ord}
+
+Given some unobserved explanatory variables and observed ordinal
+dependent variables, this model estimates latent factors using a Gibbs
+sampler with data augmentation.  For factor analysis for continuous
+data, see \Sref{factor.bayes}.  For factor analysis for mixed data
+(including both continuous and ordinal variables), see
+\Sref{factor.mix}.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1 ,Y2, Y3) ~ NULL, factors = 1, 
+                model = "factor.ord", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments for {\tt factor.ord}:  :
+\begin{itemize}
+\item \texttt{Y1, Y2}, and \texttt{Y3}: variables of interest in
+factor analysis (manifest variables), assumed to be ordinal
+variables. The number of manifest variables must be greater than the
+number of the factors.
+
+\item \texttt{factors}: number of the factors to be fitted (defaults
+to 1).
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+In addition, {\tt zelig()} accepts the following arguments for model
+specification:  
+\begin{itemize}
+\item \texttt{lambda.constraints}: list that contains the equality or 
+inequality constraints on the factor loadings. A typical entry in the list
+has one of the following forms: 
+\begin{itemize}
+\item {\tt varname = list()}: by default, no constraints are imposed.
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th loading for the variable named \texttt{varname} to be equal to \texttt{c};
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be positive;
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th loading for the variable named \texttt{varname} to be negative. 
+\end{itemize}
+%Unlike \texttt{factanal} the $\Lambda$ matrix 
+%has \texttt{factors+1} columns. 
+The first column of $\Lambda$ should not be constrained in general.
+
+\item \texttt{drop.constantvars}: defaults to {\tt TRUE}, dropping the
+manifest variables that have no variation before fitting the model. 
+
+\end{itemize}
+
+The model accepts the following arguments to monitor the convergence
+of the Markov chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: tuning parameter for Metropolis-Hasting sampling,
+either a scalar or a vector of length $K$. The value of the tuning
+parameter must be positive. The default value is 1.2.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the
+progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The 
+default is \texttt{NA} which corresponds to a random seed 12345. 
+
+\item \texttt{Lambda.start}: starting values of the factor loading
+matrix $\Lambda$ for the Markov chain, either a scalar (all
+unconstrained loadings are set to that value), or a matrix with
+compatible dimensions.  The default is {\tt NA}, such that the start
+values for the first column are set based on the observed pattern,
+while the remaining columns have start values set to 0 for
+unconstrained factor loadings, and -1 or 1 for constrained loadings
+(depending on the nature of the constraints).  
+
+\item \texttt{store.lambda}: defaults to {\tt TRUE}, which stores the
+posterior draws of the factor loadings.  
+
+\item \texttt{store.scores}: defaults to {\tt FALSE}.  If {\tt TRUE},
+stores the posterior draws of the factor scores.  (Storing factor
+scores may take large amount of memory for a a large number of draws
+or observations.)
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{l0}: mean of the Normal prior for the factor
+loadings, either a scalar or a matrix with the same dimensions as
+$\Lambda$.  If a scalar value, that value will be the prior mean for
+all the factor loadings. Defaults to 0.
+
+\item \texttt{L0}: precision parameter of the Normal prior 
+for the factor loadings, either a scalar or a matrix with the same
+dimensions as $\Lambda$.  If \texttt{L0} takes a scalar value, then
+the precision matrix will be a diagonal matrix with the diagonal
+elements set to that value. The default value is 0, which leads to an
+improper prior.
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCordfactanal)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(newpainters)
+\end{Sinput}
+\end{Schunk}
+
+Factor analysis for ordinal data using \texttt{factor.ord}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Composition, Drawing, Colour, Expression) ~ 
++     NULL, data = newpainters, model = "factor.ord", factors = 1, 
++     L0 = 0.5, burin = 5000, mcmc = 30000, thin = 5, tune = 1.2, 
++     verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be a vector of $K$ observed ordinal variables for
+observation $i$, each ordinal variable $k$ for $k=1,\ldots, K$ takes
+integer value $j=1, \ldots, J_k$. The distribution of $Y_i$ is assumed
+to be governed by another $k$-vector of unobserved continuous variable
+$Y_i^*$. There are $d$ underlying factors.
+
+\begin{itemize}
+\item The \emph{stochastic component} is described in terms of the latent
+variable $Y_i^*$:
+\begin{eqnarray*}
+Y_{i}^*  \sim \textrm{Normal}_K(\mu_i, I_K),
+\end{eqnarray*}
+where $Y_i^*=(Y_{i1}^*, \ldots, Y_{iK}^*)$, and $\mu_i$ is the mean vector
+for $Y_i^*$, and $\mu_i=(\mu_{i1},\ldots, \mu_{iK})$.
+
+Instead of $Y_{ik}^*$, we observe ordinal  variable $Y_{ik}$,
+\begin{eqnarray*}
+Y_{ik} = j \textrm{ if } \gamma_{(j-1),k} \le Y_{ik}^* \le \gamma_{jk}
+\textrm{ for } \quad j=1,\ldots, J_k, k=1,\ldots, K.
+\end{eqnarray*}
+where $\gamma_{jk}, j=0,\ldots, J$ are the threshold parameters for
+the $k$th variable with the following constraints, $\gamma_{lk} <
+\gamma_{mk}$ for $l < m$, and $\gamma_{0k}=-\infty, \gamma_{J_k
+k}=\infty$ for any $k=1, \ldots, K$.  It follows that the probability
+of observing $Y_{ik}$ belonging to category $j$ is,
+\begin{eqnarray*}
+\Pr(Y_{ik}=j) =\Phi(\gamma_{jk} \mid \mu_{ik})-\Phi(\gamma_{(j-1),k} \mid \mu_{ik}) \textrm{ for } j=1,\ldots,J_k
+\end{eqnarray*}
+where $\Phi(\cdot \mid\mu_{ik})$ is the cumulative distribution
+function of the Normal distribution with mean $\mu_{ik}$ and variance
+1.
+
+\item The \emph{systematic component} is given by,
+\begin{eqnarray*}
+\mu_i = \Lambda\phi_i,
+\end{eqnarray*}
+where $\Lambda$ is a $K \times d$ matrix of factor loadings for each
+variable, $\phi_i$ is a $d$-vector of factor scores for observation
+$i$. Note both $\Lambda$ and $\phi$ need to be estimated.
+
+\item The independent conjugate \emph{prior} for each element of $\Lambda$,
+$\Lambda_{ij}$ is given by
+\begin{eqnarray*}
+\Lambda_{ij} \sim \textrm{Normal}(l_{0_{ij}}, L_{0_{ij}}^{-1})
+\textrm{ for } i=1,\ldots, k; \quad j=1,\ldots, d.
+\end{eqnarray*}
+
+\item The \emph{prior} for $\phi_i$ is,
+\begin{eqnarray*}
+\phi_{i(2:d)} \sim \textrm{Normal}(0, I_{d-1}), \textrm{ for } \quad i=2, \ldots, n.
+\end{eqnarray*}
+where $I_{d-1}$ is a $ (d-1)\times (d-1) $ identity matrix. Note the
+first element of $\phi_i$ is 1.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3), model = "factor.ord", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior
+distribution of the \texttt{coefficients} by using
+\texttt{z.out\$coefficients}, and view a default summary of
+information through \texttt{summary(z.out)}. Other elements available
+through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated factor loadings, the estimated cut points $\gamma$ for each
+variable. Note the first element of $\gamma$ is normalized to be 0. If 
+\texttt{store.scores=TRUE}, the estimated factors scores are also contained in 
+\texttt{coefficients}.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()} procedure is
+not applicable for factor analysis models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+The \texttt{factor.ord} \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{factor.ord} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/figs/increase.eps b/inst/doc/figs/increase.eps
deleted file mode 100644
index 899c0e0..0000000
--- a/inst/doc/figs/increase.eps
+++ /dev/null
@@ -1,12290 +0,0 @@
-%!PS-Adobe-3.0
-%%Pages: (atend)
-%%BoundingBox: 19 11 346 369
-%%HiResBoundingBox: 19.100000 11.400000 346.000000 369.000000
-%.....................................
-%%Creator: GNU Ghostscript 651 (pswrite)
-%%CreationDate: 2004/04/30 14:17:40
-%%DocumentData: Clean7Bit
-%%LanguageLevel: 2
-%%EndComments
-%%BeginProlog
-% This copyright applies to everything between here and the %%EndProlog:
-% Copyright (C) 2001 artofcode LLC, Benicia, CA.  All rights reserved.
-%%BeginResource: procset GS_pswrite_2_0_1001
-/GS_pswrite_2_0_1001 80 dict dup begin
-/PageSize 2 array def/setpagesize{ PageSize aload pop 3 index eq exch
-4 index eq and{ pop pop pop}{ PageSize dup  1
-5 -1 roll put 0 4 -1 roll put dup where{ exch get exec}
-{ pop/setpagedevice where
-{ pop 1 dict dup /PageSize PageSize put setpagedevice}
-{ /setpage where{ pop PageSize aload pop pageparams 3 {exch pop} repeat
-setpage}if}ifelse}ifelse}ifelse} bind def
-/!{bind def}bind def/#{load def}!/N/counttomark #
-/rG{3{3 -1 roll 255 div}repeat setrgbcolor}!/G{255 div setgray}!/K{0 G}!
-/r6{dup 3 -1 roll rG}!/r5{dup 3 1 roll rG}!/r3{dup rG}!
-/w/setlinewidth #/J/setlinecap #
-/j/setlinejoin #/M/setmiterlimit #/d/setdash #/i/setflat #
-/m/moveto #/l/lineto #/c/rcurveto #
-/p{N 2 idiv{N -2 roll rlineto}repeat}!
-/P{N 0 gt{N -2 roll moveto p}if}!
-/h{p closepath}!/H{P closepath}!
-/lx{0 rlineto}!/ly{0 exch rlineto}!/v{0 0 6 2 roll c}!/y{2 copy c}!
-/re{4 -2 roll m exch dup lx exch ly neg lx h}!
-/^{3 index neg 3 index neg}!
-/f{P fill}!/f*{P eofill}!/s{H stroke}!/S{P stroke}!
-/q/gsave #/Q/grestore #/rf{re fill}!
-/Y{P clip newpath}!/Y*{P eoclip newpath}!/rY{re Y}!
-/|={pop exch 4 1 roll 3 array astore cvx exch 1 index def exec}!
-/|{exch string readstring |=}!
-/+{dup type/nametype eq{2 index 7 add -3 bitshift 2 index mul}if}!
-/@/currentfile #/${+ @ |}!
-/B{{2 copy string{readstring pop}aload pop 4 array astore cvx
-3 1 roll}repeat pop pop true}!
-/Ix{[1 0 0 1 11 -2 roll exch neg exch neg]exch}!
-/,{true exch Ix imagemask}!/If{false exch Ix imagemask}!/I{exch Ix image}!
-/Ic{exch Ix false 3 colorimage}!
-/F{/Columns counttomark 3 add -2 roll/Rows exch/K -1/BlackIs1 true>>
-/CCITTFaxDecode filter}!/FX{<</EndOfBlock false F}!
-/X{/ASCII85Decode filter}!/@X{@ X}!/&2{2 index 2 index}!
-/@F{@ &2<<F}!/@C{@X &2 FX}!
-/$X{+ @X |}!/&4{4 index 4 index}!/$F{+ @ &4<<F |}!/$C{+ @X &4 FX |}!
-/IC{3 1 roll 10 dict begin 1{/ImageType/Interpolate/Decode/DataSource
-/ImageMatrix/BitsPerComponent/Height/Width}{exch def}forall
-currentdict end image}!
-end readonly def
-%%EndResource
-/pagesave null def
-%%EndProlog
-%%Page: 1 1
-%%BeginPageSetup
-GS_pswrite_2_0_1001 begin
-350 392 null setpagesize
-/pagesave save store 100 dict begin
-0.1 0.1 scale
-%%EndPageSetup
-gsave mark
-Q q
-191.862 114.329 3267.47 3575.61 re
-Y
-q[3502.5 0 0 3922.5 0 0]concat
-467 523 8[467 0 0 -523 0 523]@X false 3
-colorimage
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3,bWQDl#F3V)WCi3cCiUDl#O5V)rRk4)UlVDPoO5W&egp
-3c:lXD5]O6V`Sdo4)UlVDP]F4V)rRk4)UlVDPoR6V`Sdo4)UrXDP]F4V)rRk4)UfSDkf at 3V)iOk
-3c:iVDPoO5V`J^n3cCiUDl#L5V)iOi3cCcSDl#L5V)iLl3c:iVDl#F4UH3=i3,b]UDPoI4V`J^n
-3,b]UDl#F3V)iOi3,kWRDl#F3V)iLl3,b]UDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk
-3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F4UH3=g3,kWRDkf:2UH3=i3,bWSDl#F3V`J^n
-3c:iVDl#L5UH3=g3cCcSDkf at 3UH3=g3cCcSDkf at 3UH3=g3cCcSDkf at 3UH3=g3cCcSDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk
-3cCiUDl#L5V)iOk3cCiUDl#L5V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk
-3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk
-3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk
-3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk
-3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk3cCiVDP]C4V)rRk
-4)UlVDPK:2UHEFh4)UfUDPK:2UHEFh4)UfUDPK:2UHEFh4)UfUDPK:2UHEFh4DpoVDPK=3UHEFh
-4DpoVDPK:2UH<@g4)UfTDP]F4UH<@i4)UfTDP]F4UHEFh4)UfTDP]F4V)rRk4DpoVDPK=3UHECi
-4)UlVDPoO5W&egp3c:iWDPoR6V*&Uk4DpoUDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)^]OE1T".Tepeb1NKBLEi1^6V_rIj
-3,bWQD4s%/V)W7d1M*:@Dm)?I\2.m%3c2#\DQ5a8W&ejn3cCcSDkf at 3UH3=i3c:lWDQ#U6W]G$r
-3c:iVDl#L5UH3=e3,kQNE2,C2V`8Un3,Y`UDQ5[6W]4pp3,bWQE2,C3Tf@"b3,kWPDl5R5W&JXn
-20#BJEhP at 1V)31j2/oWRE3(p9W\e^o20#NNEhbL4Tepe`20#BJEMk[5W&/Lm20#NNEhtX5V)34h
-20#HLEhtX5V)34h20#HLEhtX5V)34h20#HLEhtX5V)34h20#NNEMk[6V)34h20#BJEhP at 2Tepe`
-20,BIEhP at 1UGR"f20#NNEMta6W\nao2fYTOEM5=2Tf6tb2fYNMEM5=2Tf6tb2fYNMEM5=2Tf6tb
-2fYNMEM5=2Tf6tb2fPTPE2PX6V`/Rm2fPZRE2PX6V`/Rm2fPZRE2PX6V`/Rm2fPZRE2PX6V`/Rm
-2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i
-2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i
-2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPZRE2PX6V`/Rm2fPZRE2PX6V`/Rm2fPZRE2PX6V`/Rm
-2fPZRE2PX6V`/Rm2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i
-2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i
-2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i2fPTPE2>L4V)N at i3,b]SDl5X6V`8Um3c:iTDl5X6V`8Um
-3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um
-3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um
-3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um
-3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um3c:iTDl5X6V`8Um
-3c:iTDl5X6V`8Um3c:iTDl5X6V`Jam4DpiTDP'+1T0."`5&QuTDP'+1T0."`5&QuTDP'+1T0."`
-5&QuTDP'+1T0 at .b5AcuVD4Wq/T0 at .b5&HuUDP911Tfd4d4DpoVDP911UHEFf4DpoVDP972Tfd4d
-2J]!KEMkm8U-NUj6#<5ZC7d_,UGQPS3c:rWDQYp9XuL=#3c:rZDPo[8UHWOg4DpoUDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UHEId
-4)g]KEM540UG6hf0ls6KEhtX5UHWaq5&d2_F/23EVESjn4`@D^DQkj-W&ngu4D_#[D5TL5V*&Xh
-4DpiTDP911UHECk4Dh#ZCoTU7W'"pp4DpoVDP'%/T0$t`3cCcSDPoO5W&eds3c1rZDQ5a8V`Jam
-3cC]QE1]11T/pnc3cCiUDQ#U6W&Sai2fYNME2>L3W&JXr2f>cWDlbm9W&J[l2fYTOEM#10T/Ubb
-2fPTPDlPa7W&J[l2fYTOEMGI4UGm1f2fYTOEMGI4UGm1f2fYTOEMGI4UGm1f2fYTOEMGI4UGm.i
-2fPZRE2>L5UGm1d2fYHKEM#11Si:\]2fYHKEM5=2UGm.g2fPZRDlPd8W&ejn3cCcSDkf at 3UH3=g
-3cCcSDkf at 3UH3=g3cCcSDkf at 3UH3=g3cCcSDkf at 3V)iLl3,b]UDPoI4V`J^n3,b]UDPoI4V`J^n
-3,b]UDPoI4V`J^n3,b]UDPoI4V`Jam3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk
-3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk
-3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iLl3,b]UDPoI4V`J^n
-3,b]UDPoI4V`J^n3,b]UDPoI4V`J^n3,b]UDPoI4V`Jam3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk
-3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk
-3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#F3V)iOk3,bWSDl#L5V)rRm
-4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo
-4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo
-4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo
-4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo
-4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UrXDPoR6V*&Xh4DpcRDP'%/T0."`
-4DpcRDP'%/T0."`4DpcRDP'%/T0."`4DpcRDP'%/T0 at .a5&QrUDP'+1T0."b4DpiSDPK:2UH<@g
-4)UfTDPK:2UHEFh4DpoVDP9.0UH37d5&mGdE2#a<TKd(X6Yi;dF/_EBWB4su3,PiXDQc!:Y;gF$
-4)Ur[D4s.1Tfd4f4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlWDPKC4Tg!=e4)UfQDl#=2V_rIj3,kWSDkB41R6PGN6Y_fTDO3b.R6k_[
-5Ad)ZD5KX7VaG0r6Y`GbC8""1T0mCd6Yi;]C8""0V*esp6YWGcC8F:4UI/di6Yi8[Cn<q/T0[:e
-6#3;_CSsI5W'P0s6#3AaCSa=5UHr^i6#</ZCnF"0Tg<Li6#3AaCSa=5T0[:c6#<;^CSsI5W^1C"
-6#*DcCSsI7UHr^g6#E2ZD4X%0Tg<Li6#*>aCSsI7Tg<Le6#</ZCnF"0T0[:c6#</ZCnF"0T0[:c
-6#</ZCnF"0T0[:c6#</ZCnF"0UHr^k6#<5\CnF"1Sj at 4`6#E,XD4En/S3_"^6#E2ZCnF"0Tg<Li
-6#3AaC8aI5W^:F$6><MfBrjX8X?pX&6><MfBrjX8X?pX&6><MfBrjX8X?pX&6><MfBrXI6W'>*r
-6#3A_Co9R7Va#!q6#3A_Co9R7Va#!q6#3A_Co9R7Va#!q6#3A_Co9R7V*Adk6#<;\Cnj:4UH`Ri
-6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri
-6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri6#<;\Cnj:4UH`Ri
-6#<;\Co'F5Va#!q6#3A_Co9R7Va#!q6#3A_Co9R7Va#!q6#3A_Co9R7Va#!q6#3A_Co9R7V*Adm
-6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm
-6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm6#3;]Co'F5V*Adm
-6#3;]Co'F5V*Adm6#3;_CSa=4V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn
-6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn
-6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn
-6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn
-6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn6>E>`C8F73V*\pn
-6>E>]Co'42UH!4f3,kWPE2,C3UH!4f3,kWPE2,C3UH!4f3,kWPE2,C3UH!4f3,kWRDkfC3UH<@g
-4)UlUDl#L5V)iOk3,b]SDl5R5V`8Um3,b]SDl5R5V`8Um3,b]UDl#F.SNLYV7rk4lD43XuO?dEC
-6"ulK@[T>qW&eds2f>cWDQYs:W]P*r5&HuWD4s(0UH<@i4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4Dgo\Cnj:3V*8^n4)LoWDPoO6V*&Xf
-6#E&\DO!_-NCRT788!ZKC5YMnN(.ND:j&I&BU;8'R7M%X884;ZBp;/&P"9;O884A\BU;8'QUkeX
-88+>\BpM;(PXoMO8845WC6V/%Q:GYU7;8/[BU_G)Rn%1\7;A/ZBpV8'Q:G\S7;A&WBpM2&QUbbX
-7qn;\Bp;/&P"98Q88+J`B:VS+Sk*Lb88+D^BpM;(P"9>L8845XBp;/%QUkeZ88+J`BU;8(Q:P_U
-884A\BpM;(Q:P_U884A\BpM;(Q:P_U884A\BpM;(Q:P_U88+>\BUMD)R7M"Z88+>\BpM;(PXoMQ
-884;ZBp;/&PXoMS88+>\BUMD)Rn.1_88"McAthk/U.Jpl8S4\gAY_n0U.Jpl8S4\gAY_n0U.Jpl
-8S4\gAY_n0U.Jpl8S4VcBUqY,Rn%.]7qeA^BU_M*Rn%.]7qeA^BU_M*Rn%.]7qeA^BU_M*Rn%.]
-7qnA]BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV
-7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV
-7qn;[BpV>(QUbbV7qn;[BpV>(QUbbV7qn;[BphJ)Rn%.]7qeA^BU_M*Rn%.]7qeA^BU_M*Rn%.]
-7qeA^BU_M*Rn%.]7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ
-7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ
-7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7CtZ7qnA]BphJ*R7M"Z7qnA^BUMA)R7M"Z
-7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z
-7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z7qnA^BUMA)R7M"Z
-7qnA^BUMA)QUkeX7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX
-7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX
-7qn;\BUMA)QUkeX7qn;\BUMA)QUkeX7;8/TCmdG'RltVX4`-ZOD4<\*RltVX4`-ZOD4<\*RltVX
-4`-ZOD4<\*RltVX5&HcQD4<e,Rm(YZ5&?cRCn3b+SN^k\4`-`RCn3_+SNUh\4`-`QD4Wn-SNUh]
-5&HcTD43S!O at O/P7VRuRArfZ*RS%Ih7;eh`D5B:2W]+jt2fGcWDl>a8V`nsk5&HuUDPK:2V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*8am
-6>EDbC8aF5W]t:!5&@/^Cnj=5S47:Z:2GqlEfF+9K2ZK5=DigfBR`Q_IT16C:MYSZC4T2rJP^-4
-:htSXCOf5sJ5C$3:hkPXC4T2rK2?<6:hkPXC4T2sJ59s2:MYMUCP,DuK2$-6:MPSXCP>Q"K2$-6
-:MYSWCP,DuJPBs3:MYSWCP,DuK2698;/1V[Bn0,qK2ZH=;eLnbB8TW#Lf7u@;e^e]BmruqHrFa.
-;e^b\BS05rLf7rD;eLtdB8TW#MGn/F;eLtdB8TW#MGn/F;eLtdB8TW#MGn/F;eLtdB8TW#MGn/H
-;eD%gAror'OAfbO;eM%fB8TW#MGn/D;eLnbB8TW#MGn/H;eD%gAror'OAfbQ<+_.iArK]$N`9VL
-<+_.iArK]$N`9VL<+_.iArK]$N`9VL<+_.iArK]$N`0SJ:hb\\C5#GuKhlH;:MPSZC5#GuKhlH;
-:MPSZC5#GuKhlH;:MPSZC5#GuKhlH;:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698
-:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698
-:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MPSZC5#GuKhlH;
-:MPSZC5#GuKhlH;:MPSZC5#GuKhlH;:MPSZC5#GuKhlH;:MPSZCP,DuK2698:MYSYCP,DuK2698
-:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698
-:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698:MYSYCP,DuK2698
-:MYSYCP,GuK2698:hkVYCP,GuK2698:hkVYCP,GuK2698:hkVYCP,GuK2698:hkVYCP,GuK2698
-:hkVYCP,GuK2698:hkVYCP,GuK2698:hkVYCP,GuK2698:hkVYCP,GuK2698:hkVYCP,GuK2698
-:hkVYCP,GuK2698:hkVYCP,GuK2698:hkVYCOo;sK2696:hkVYCOo;sK2696:hkVYCOo;sK2696
-:hkVYCOo;sK2696:hkVYCOo;sK2696:hkVYCOo;sK2696:hkVYCOo;sK2696:hkVYCOo;sK2696
-:hkVYCOo;sK2696:hkVYCOo;sK2696:hkVYCOo;sK2696:hkVYCOo;sK26989l#MYC5>T!LeVW?
-9koJYC5>T!LeVW?9koJYC5>T!LeVW?9koJYC5>T!LeVW?9koP[C5P`#MG7iC9koP[C5P`#MG7iC
-:MG\\C5P`#MG7iC9koV]C5P`#N(duF;0A3mB8K2pMb%K8;K.dsE0`OhL-fR?5Ad)UDPoI3W]+jr
-3,b`VDl#R6Tg!=e4DpoUDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]O5Va>-s6YWPdC90^9W]t<t6>N8`CRRk1Of#nL_:@qke`Xftim$<H
-`RjFbbi-:dkJ,R,^Xh8Vf&"0mhS7V!^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mikF"'
-^=D8Xf&FEpikF"'^=M;Xf&FEpikF"'^=D8Xe`4Boj1a+(^=M;Xf&FHpi54"#_URG[e)J6njhoO0
-_UI\cdc\Krj29C'_U[GZeD%jjgr%V!_UIP_dc\Kqlbh-9_U at bfdHeZtlbh-9_U@bfdHeZtlbh-9
-_U at bfdHeZtlbh-9_U@bfdHeZtm).3>_U7kjd."p"m_dH=_U at egdHeZtlbh-9_U@bfdHeZtm).6=
-_U7ehd."s#m).97_p[YcdcJBpji,[0_p[YcdcJBpji,[0_p[YcdcJBpji,[0_p[YcdcJBpjh]I,
-^X_>Ye`4EpikO%(^X_>Ye`4EpikO%(^X_>Ye`4EpikO%(^X_>Ye`4EpikO%'^X_8We`+?oi4mh%
-^X_8We`+?oi4mh%^X_8We`+?oi4mh%^X_8We`+?oi4mh%^X_8We`+?oi4mh%^X_8We`+?oi4mh%
-^X_8We`+?oi4mh%^X_8We`+?oi4mh%^X_8We`+?oi4mh%^X_8We`+?oi4mh%^X_8We`+?oi4mh%
-^X_8We`+?oikO%'^X_>Ye`+?oikO%'^X_>Ye`+?oikO%'^X_>Ye`+?oikO%'^X_>Ye`+?oikO%'
-^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#
-^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#
-^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#
-^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#
-^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mh#^X_8We_n3mi4mk"^Xh8Vf&"0mhS7Xu
-^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu
-^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu^Xh8Vf&"0mhS7Xu
-^Xh8Vf&"6ni53t'_p[YadcJBpjhoO._p[YadcJBpjhoO._p[YadcJBpjhoO._p[YadcJBpjhfL0
-_UI\be*"WskJPa2_p[YcdcJHrji,[0`R<kcdcJBpkJPa2_p[_cdc\Bpl+>R9[++KXg[i,1nA*cN
-NiC&`?%YdeRR1h^4DpoTDPoF3W&S^n3cCiWDP911Tf[.e4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlWD5T[7W'Y3u6#*DaCT'O7V*\si
-88=McC66d&s7--hp&G'WpAagcs7H?klMCPLs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFWs8VWhs7--hoDej\s8V]js7--hoDej\s8V]js7--hoDej\s8V]js7--hoDej\s8V]js7--h
-oDej\s8V]js7--hoDej\s8V]js7--hoDej\s8V]js7--hoDej\s8V]js7--hoDej\s8V]js7--h
-oDej\s8V]js7--hoDej\s8V]js7--hoDej^s8V]js7?9jo`+s_s8V`ks7?9jo`+s_s8V`ks7?9j
-o`+s_s8V`ks7?9jo`+s_s8VTgs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!f
-n,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VQfs6p!fn,NFVs8VTgs7$'gnGiOXs8VTgs7$'g
-nGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'g
-nGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'g
-nGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'g
-nGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiOXs8VTgs7$'g
-nGiOXs8VTgs7$'gnGiOXs8VTgs7$'gnGiO[s8Vins8)`pqYpNkrr;ios8)`pqYpNkrr;ios8)`p
-qYpNkrr;ios8)`pqYpNis8Vins7cQnp](9grr;ios8)`pqu-Qlrr;lps82fqqu6WmrVu`ns8)`p
-q#:<cs8V0Ws6'F^mJm4Ps8VHcs-'M&,X,R$@u3QhRQbV]3cCiSDl5R5V`Jak4)^fTDP9.0UH<@i
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4Dgu\CT'I5W'5$r5&@/^Co'I6T1E^`9kfX$ddQ2cs4QB)^;ejId-&R&m_6p0_pn+me`Xj$jM]U3
-_q"(keEt0'm_mWC_q".me`k!&kJYp4_q+"he`k!%mDRKC_pn7qe+1E+nANiD_q""ie`Xj$kJYp6
-_q"(keF(6(nANfH_pn1oeF(6)lbq?<`7=%he`k$%lc%?@`7+4pddk?*nAWlE`74+leE=d#ji,d2
-`7<tgeEb'&m`!WH`7+:qeEb''ji#^4`7<tfe`Xm$ji#^4`7<tfe`Xm$ji#^4`7<tfe`Xm$ji#^4
-`7=%heEb'&lc%B>`7=+keEOp%l,D0:`7=%ieE=d#kJbs6`7<tge`Fa"ji,d3`RX%gf&4NuhSn(&
-`R`nbf&"BshSn(&`R`nbf&"BshSn(&`R`nbf&"BshSn(&`R`tce`F^"kJPm6_q+"gf&ss%kJPm6
-_q+"gf&ss%kJPm6_q+"gf&ss%kJPm6_q+"gf&ss%jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2
-_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2
-_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2
-_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&ag#jho[2_q*qef&Xa"jMTR0_q*ndf&Xa"jMTR0
-_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0
-_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0_q*ndf&Xa"jMTR0
-_q*nef&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-
-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-
-`7Eqdf&FX!il'F-`7Eqdf&FX!il'F-`7Eqdf&4Kti5F4)`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)
-`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)
-`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)`7Ekbf&4Kti5F4)a49%ieD8?tgWn7%
-bgY=ldbE!pgWn7%bgY=ldbE!pgWn7%bgY=ldbE!pgWn7%bgYCjeDSEtil]a0bL>Cndb`9th9OI'
-cdLRodbE*rgX"=&cI1ImdbW-rh9==(aOK.cf&Xg)kebm1[`I%;eDtY*S.mSI=*U3'CmRA'Si^hb
-3,b]SDl#L5UH<Cf4DpiSDPK:2V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UrXDPoR6V`Sdo4DpoYD4X14QV;.U`S1.Xs8TmWiuog=
-&fWk]2d$k?8duk4%j"4i3b8[:809Kp&0+^f-XmZ.<urr()(/N11LUtA:Dt`b.5koT,?c<EC`tHL
-,qs9]0P_d_ at MpUu)_"f-/Qa2N?R@[F.l_G_-"%oKCG.hs)'rW<3,:$)BHo?A,;WjW3,0ctC`G$<
-/3A#'3H6B'CaD#S/O!tq2IIad?SY&h+"q(T5'//0E\Ke)0h6++4'+.-B.ZP\.mdYr7:@;t<\d9Z
--pM#g6XMH7A1BoP0Lo_294p%QBe2V\3)"0;4C:!;CbeIm2G%XG:iS-T at ldD'/jWo.;/eQjD*M!>
-3DF0K:hr$aB1,mG2G.aP=*d#,F?30:9jr]58o7%$I6(,C5>u_h;KXrmDa at BJ;J(bI:NB'6JN6GF
-6reb*<ImS>Jjrgo7TY44=G04JKh,@#86LX;=bTFNL.Y[*8m@'D>_l'ZM+h329O3HJ?&23]M,%E8
-:1&lS@#IiiN)3rA:go;Z@>n&mNDa8H;Ib_cA<0]$OAoeQ<G%@nAs$)*O]H+X<bIRsBTlM2P?2F]
-=D="%Bp;_6PZ_ad=_a4*CR/.>Q<J'i>]#j5D4"RFQsFTt?#H':Djk!NRU0p$?u_]EEL^EVS7-H/
-@<.oJF.Qi^Smlc4A9FPUFeE8fTOi;?ATjbZGG8\nU1SVDBR-CeH),,!UhP.OBmQUjH_tP)VJ:LS
-COMsnIA:V-UhtUXD1AC"J>R79Vf.-aDh4g)JZ!I=W,[HhEJ(62KW9*IX)iuqF+pZ9Kr]<MXEB<#
-Fbd)BLotrYYBPi,GDWMIM6D/]Y^)/3H&JqRN3[eiZ[7\<H]>@YNO+"m[!e"CI?1dbOLBY$[ssOL
-J!%3iOgfk(\:KjSJWmWrPe)L4]7ZB\KU03&QF_a8\qQK_KpTE+R(S0@]S;fdLml&6R_FTH^58>o
-M4;8;SA:#P^l"YtN1RnFT#-GX_Mt2*NM"+KTYuk``/^M/OJ9aVU;i:h`f[%:Oe]s[Ur\^paHE@?
-PbuTfVTP.#b*AmJQ)DfkW6CR+ba,3OQ`85rWQgd/c'YNVR&\H"X3[37c^Ci[R]Xl(Xj3E=c^_2c
-S?L;1YgK&Id[m_lT!?_8Z-o8Me"F%sTX3.A[+1nYetTS'U:&RH[FV+]f;,n.Upo!Q\Cmaig8;F7
-VRbEX\_<smgSha>W4Uia]\TU$hQ"9GWkI8h^##g(hlOTNXM<\q^u;H4ii^,WY/0,#_;_Z8j06G^
-Yf#P,`9";Dk-Dtd^<l#Ob1io,be;B^YJASh_:$Tbn>X(FWk6Npf]fc^f<<'?Yeef$ceuI\hljuM
-[a4'6_V(Qjcb\6$YJJc-e`X!FbK/?"\Ad"+_U?3Fhmgb[]?K-9_plZWl`S(PXhi5se(Un:`PKmS
-_U@=ZIuu$?=&Emu7;S5RD4Wh,UH3=i3,bWSDkfC4Tfd4d4)UfTDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]C4V)iOk3,bWPE2P[6V)iOi
-5&QrZD3mk0OL33sk4Sbmcg)Su72R4<&g'[S*_[k=BaYnW$6)ne0lI at 8>phL[+tn?f/pn9SBbM\#
-&KtF76$s4d>SA;m)(0AI/q=Z[FWN#[$5d8#2L?r9Gon_R*A1qR3ctuU?m7:K+>%pn4GsakCd1X[
-*@u+U2K9inCDngB-p)ho.rZmtJfQLg,WC)p20gN0Gpb^s-TlGq3H-0#EAL+>.QrA.21Zr0I3Lam
-)DttW8pMdND]_#S1/3'H89ZCHDE1[K-:)N"7WgdnK-<?m.7A/3:44cfGq_d63)4uf</)tlFYug?
-4]@%_5&`8JGt;8&0h6I?6ZP+\H7D3r6!/^r9Q_gODE1OH3DYGd8:`p&N%@;B/4+\P>Eh9LN&a[i
-:M$+`=-,aNOYTIY1J*0e>EhQ\PX&6/5u`k2<KBLJO@*'16s#L>=HZ*TP!rK979G^B=d)?ZPXeoA
-86_?N>a at rdQ:Y>I8R.KP?'S&hQ:kPM9OF,\@$jYrQq^tU9jj>`@@9o#RSRC]:h,tlA=QM-S5Nph
-;IuCsAXub3Sl96m<+hh&B:i.9T2fQt<G8%*BV8C?TiPm$=)+I2C8+dEU02<.=_sm:Cnt6OV-7`4
->Ag<BDPgWUVHn/>?#Z`JE2[)_WEsSD?ZN/REiNJeWaU"N@<ASZFKAqoX^ZFT at s5"bG-5=uY%;j^
-AU(FjGd(e*Z"A9dB6pjrHEq10Z=nWjBRI!tIB[I8Z"e`mCO`X+J?s'BZYY/uCk/j/J[B<H[;LT(
-DhGK;KXYoR[r@#0E.k]?Kt)/X\T3G8F,.>KLq at bb]6&k at FGRPOM7e"h]lo:HGDj1[N5'Ur^Nb^P
-G`9C_NPKk#_0V-XH]Q$kOMcI-_gIQ`I#u6oOi2^3`I<uhJ!7m&PfJ<=a+9MrJ<n6,Q,eHBaF]`!
-JsaZ4QcXiHab?/+KUU)<REL;Rb_DS1L7HMDS'?\Xc&&";Ln;qLS^3.bd#+FAMP/@TT@&Ohd>ajK
-N2"d\U!o!re;g9QNhk3dUXbC#eWH][OJ^WlV:Uj-fTN,aP,R&tVqI63fp&GhPH!9#W7mK9gQebm
-Q)i]+Wn`l?gm>+sQE8i.Xk];Hh3kG%RBPJ:YhtnRhj^k-R]t\>Z/D.XiLR:5S[7=J[,[abj.E^=
-T![ON[H+!hje9-ETss0Z\EBTrkG,QMU:BB^\`fj#l(tuUV7Z#j]^)H-l_hD]VS)5n^$M]3mA[he
-WP at l%_!e;=n#O7mWke))_=4PCnZB[uXi'_5`:L1Om%_,=\^9?<_UZTZmC(3pYfGFt^sf^8hS.J$
-UUn[VakXqnn?L!dV7b*W`7MNHjf$,Q^YSXqeaT-=cG.orR]jT9aP!N&ai2flYe\W!cJZ"IeuQL3
-[`dO$\'2eDlH\DTV7+(Xf%mUF`kBRHIup<^9k?OoHq%n:6#E2UDPK72V)WCi3cCiVDkT:2Tf[.e
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlUDl#C4UG[%d20#HMEMGL4Tfd7`6>`&\CQQ<_q=+FacJ/4/*'YMq;\p`X#8p/E,$,mFBFc at m
-&g_01/pI@)>SSQ2!>8ia14CK-HP.Z8"W:8W/SZ=]Fsf8()_6L\/VPH+L__=Z)(KS at -tX;H at hL+m
--TZ>c.;9>:BdYin+"i*h14ouTB,W==+Z+'b4a&8?JJ9\T-pWM/2h*,:K`rK,/4G=41iXKnD]_#[
-+Zsfj4a&&4Hk\,P,Wgi<8XCekM(;,S,!U\m06&@-Lbhkj+[1K+7>DpGIj741,!U]8:QZ_]J1*jA
-+[1K(5_C^\M^(?62GTJj8<+ZHHmh771J<ie9TgbgK-rp:6sZE76\@g7S2*cn3E(l%>*Ua3Maq6S
-.n5FR:R!b7Q:52X3E2D,<1,L9Ou6($.Rf4N:6R_=RQFQ>5?a[;:Qdk at Ps&-25$!n4=-Z!OPsAH;
-6!9O?=dMEWQU+c at 6<]aD>F at i_R7(;K79uBO?(",eR71DL7UDNR?^jPmRn-qW8R\/]@@]tuSOm7\
-8n+AbA"QD(T1idg9kC"mAYDk2U/#<p:1g4rB;878UJPX":hZY$BV\L>V,:s';/)k)C8OmDVGh9.
-;er:0CSt0LWE!f7<Ge^9DQ6`TW`O,>=)Y- at Dl[#\X]]YG=`LQIEirSdY$5tN>B?uPF0AkmY?c=T
-?$<DXGHbCtY[;X[?[/h_Gd1\'ZXJ0d@=#7hHaI7/Zt"Kk at sk[oI'mL5[:F]nAU_("J%'$>[qC6$
-BS!^-J[oHF\S-Q)BnEp2K=blN]5*)4Ck]Q=KtV;V]kiD9D2,cBLVI_^^MeqDE/DDMM8=.f_/P7I
-EJhVRMo0Rn_fLdTFH+7]NQ$"!`H7*YFcOIbO2lF)a*3WdG`g*mOi_j1a`rriH'6<rPKS99bBoJt
-I$Ms(Q-4TBb']T!I@&*)REL&HbC5o(J!nN0R`p>Pc at DG1JXar9S^2nXc[qb8K:UA at T$W1`dY+:A
-KqHeIU!nahdtXUHLS<4PU=>$peqg-QM5/XYV:UU#f8?HXMl#'`VV$m+g5MuaNMkKiWS<H3gQ&;h
-O/^opWn`]9h2eVmOK.,uXPT)?hN=qtP-!Q'Xl#>EhNG%tPcrr.Yht_Mhj(J)Qa5S9ZJh.UiKge.
-R'Ye>[,[R]j-d=9S$qFI[cO!ejdNX>S@@XN\EBEmkFK0IT=X9Y]'5iul(5KNTY'K^]^)9(l_2#Y
-UV?,i^?q]0m at q>^Uqc>n_!e,8n"mkiVo%u$_XXP at nYX1nW5J2)`:KtHo;T_$X2ah7a6`<qs60=Z
-k4\i9pAa^`s7--hmJ[(Ts8VZis6'4Xn,NFJp&F1Js7--hmf*553CoaNbI,[Yf'iY,s8VWhs763i
-n,*.Zs8V]fs60"LnG<1Xs8Vcls7H?kkP,#=q#Ak*m71;b\Auh)a3W,fk\bj0/3m?;EKN_+PsK8Y
-4DpoTDPoO5V`Jam4)UfUDPK:2V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk3cCiRE2>C3V)<7h20#HPE1oC4S3q.Y8Sa@"f(JP4s1?D8
-%iRJI-;5R:>7)EJ))#A(+\`Ip<?!Z-$mB-h*blZJIN1"f#TR7X*EO+4A/mC:&L^rq, at V**C)&+C
-&L2K1+E/P_I317a'e3Q73FsErA.Bk`/OF_+1j0fiFWrYm+#/*c1jCN9Gr/-?&Lgd&2fBKeC_%t,
-0hR<</oDt"H5A;N.7JG(4_uW>F<a%e-UVqp2f:9?L*o3>$mop32Lm)=N at IA[,s[G64c1.8Jf6Lu
-0hduV3JK\!V'n]m(,:7e7$06!RNk"S0hdus<M1HoJfm")1.d`i:7O4:RkdR%0Lq<a9UIe9RO(+N
-/ObRJ7#*QlN%%)F.n>=E7YsH;U+]-"2,KQ!<LPO3NZL304'%h7=e7EEP<iHI4BJ%DA#L_?L,Dem
-4'%b1=-G[HOZQ[.4B[k1=d)!PPWi<:5$O:9>EqBVPs8N>5[B^A?'di`QpP/J6=6-I?^F)dQU>/J
-6t)KO@@9PnRRUeV7UqoWA",qtRn%"Z87e>_AXuD)Sk<Xf8nXbhBV8"3TM&sk9PL1oBq\79U.oBs
-9kpCtCSOX?UJ>U":Mch&CnsmEV,2$*:i3%,Dl6KOVc%H2;fJ[6E2Z`UWDml:<,nm<F/r>_X&a;B
-=*1NFFKASeX]T_J=EU`LGck4pY$-(Q>C!DVH*:J!YZuLY>^EV\I'R(+Z<hpa?[]7fIC!=1Zs\?i
-@",CiJ$WR5ZXSHl at tD$tJ[K$?[Uk*#AV7I'K=>EE[q:<'B8*m/Kt1lO\nQr3Bns<7LV%8U]5!/7
-CPf`?M7m__^28eCD2Z/GMna+e^M]"GDiMSONPTRo_JtXSEKA"WO2Gsu_fCjWF-4F_Oi;F*`c[Kc
-Fd'jgPK.g0a**]gGEp9oQ-"9:b'B>sH'cX!RE0ZAaEa2pHCDs%R`ToGb'TW#H^i0+S]lMQb^H&+
-I\+f5T$;bWc@;J3J"P#;U!S at ad".n;JtgYEU="UgdY"=CK;6kKV::3qe:jaKL8NLUVU^I"eq^0S
-LSr^[WS!',fSQT[MQ5?eWnE<2g5E#cMlYQjXP8]8gPi5gNNLuqXk\r>h2\YoNj%6!YhP5CfoWJo
-Og<`(ZJC\Mglo,&PI0/0[,7(Sh3>>*Q+#S8[c*O]i0Ut6Qal"@\DrpciL%1:RC_FH]&fBmjI<gF
-S%RjP]]Ycsjda$JS\F9X^?M6(kb#ZVT>9]`_!@W.l(GlZTu-,h_X4)8m%_MfUVuPp`:'J>mA._j
-V8hu#`poqHn>FA!XiKYcnc%(pi7[)Mc.1I_airQ$kISOL^W4L3a3)uiiQTg'fAGT4e_&!ke8KPW
-8Q8m0dGDFVg at G:D^<>$>`m)`Te^E%%e'uslbKK#/jkSYJcd:+_c-j,8_:ml4d+dN:R at YZ^3l01n
-Z+e5rd+iYnOu>pB:Mbt\CR%2&Sigkd3c:iVDQ#X7V`\gm4DpoUDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)iOk2fGWPE2Y^6W&J[l
-3cC]UDjj+2P>#_M[E[n&rr9XPi%$``$Q1iG0iJ)h5S#5:%Ojje2cKbl4Wl[t+ujZQ+^u$2 at hgP(
-,Wo`B*C(Ju<"LNT.RJ(\+'BjKI2jqb+uXQX.:+;_Afj!6!#dR at 6s0^:4"*@),<9Ea4)tu^A0*LC
--Tu>f1gL(t1+Yn'*B.4T8961HE"OX(*][gd9QV76?PYFr&MHd!4]a%$?l(Xt/P0n.6#Ic(DDk7I
-,WpYl/U&9sK.]]X,<^f37#j&tQPVB',<^f88Wt_rOWcf?2c6%u8sC_jN$prI+?+^,9p%(uN%db]
-4AqXt5DU@;I5FTZ-U*2=8W>o7Q9%p*4B.Cn7=@C&O?HX'3)PG`8Ua$5P;5ja-UN#49nGoGQo.]o
-4BIIt:4kN)Lc&"_4'%7s:k^r1MF(U33E_5"=c,7DM`Y.%4'RY+>`CmPN]g[.4^F(2?&h*TO$@!5
-5 at 9L;@$*``P!NN>6",j@@?<fbO[EWA6Xu9IA<TGnPXT/J7:h]PAX#YrPt,JQ7q\,YBU;;)Qq;"Z
-8nsbdC7.\/R7h=a95BtiCn"+7RnRXf9l6CpD4F=;S5*sm:2ZUuDk9aCSkj9r;/r7+EM-0KTMfg(
-;KAI0F.uTSU/Q--<HY*;Fei#[UfMZ8<d(<@GG\GcVH7u==aHuKHDObjV-85C>'m,NI&C1rVd"PH
-?%/bYI]6V%WEt(S?@St^J?*%-X'^CX@"GCeJZ<.1X($^_ at Y:alKWSd=Y%36hA;.0sKs#!AY@`Qo
-Ar!U'Lp:WMZ=o*#BSj$.M6^iQZYGE*C5]H7N4!J][VUr3ClPl>NOE\a[r.8:DND;GOL]=m\o<eC
-E07_NOh,Oq]5j+JEg+.WPeD1(^3#XSFHsR^Q+hC,^NPsZG*g!gR)+$8_KVHcGalNoSA9B>^j2Ke
-H(DctT#,fF_KqfjI%\E*TYu5N`-n>uIA+W/U;hYV`dXZ%J>C8:Ur\(^aFU20JYgJ?VTOLfb(?M5
-KW*+JW6Bpnb_<%@KrN=OWm6@!cA&@ELoesZXO)d)d#"mPM650_Y0r31dYb3UMm(TfYLAE5du:N\
-N3LfkZ.4i=eW$iaNj@)nZd=c>du^ucOL3N"[aUDJermMlP.&r)\($VNf9EhsPdoA2]%<7Zg6TA'
-QFbe9]@`I^gR,\.R(V4B^>#*jhO;47R_IXI^YG<nhjhO>SA='R_V^s%ih"'GT#0KY_r.0)j.OBN
-TZ#ob`oEf5k+]oWU;l>ia5j#9kG65^Ur_brb3,YElE87cnFcS9h:K3EY2 at s_eBc7P]<r7\#7_%B
-#Qk&0!!(Qrb.tWsg!n<rcH)**Kg%X[]YMFi\A%D%p#G)mda$%[`P:9ZbLXeNf?(bU`OaL9]@P*>
-f?VFpg!Rs]_:7&bCO(:d85HtEe@<NEaO]BkJ<MZT>t\jg88=JWCnEh,V`J^o3c:rZD5]R6V*&Uk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]C3V`8Ro3,YfWDQ5a8V`\jj6#E&]CQV>+Lq_=&o)Ja&aOhO_4!QLNi:6j7s8U^?s6BXa
-h"^mk3Ecn><!jaN(bTJ2,?u-B at MLOq&1^<0qu>m[rt?q_-pMbZ*a^!EFrN,L)DGM*+[bPps6K^b
-i;EW at s8NEO58#AA*].FS3,futC)8F&jSf,Es8V!Os6K^b%O=Ul4(9a-Bdc/V&LU9<s8VEbs69R`
-li7"Ap\ua2>9l:7-pD2d2eF!_ALBWb4B.Cj4a\,%D(7c!.RJS:6\6mYJN$8\)DZ1T3-QrCJLE[/
--pW/@:Q at D0LbVAI1.HUF7!p[UHQtFf0LL7Z>Eps4IlBuQ2bSZM4`EP^J`lt2fBrT4 at u;["Ais">
-h=gm(oD^mOI6Ub_7pq0/8TQsmI5=K;5?NJ&=FrhBK/-#>94X#A:O+lsI6(Me3*D2#>)bRIN]LC)
-4'[h/?'%0SO??g14C+%3?BIEYP!3695 at B[?@?a#dP!EK>5[omBA!95iPX8oF6Y2NNAsPhsQ:,>N
-6tV`RB9u)$QptbV7qnA^C77\.RRq:a8SaeeCR[q4S4[Uf95U4mD4O=:SP3pm9Q$FqDOsR at T1s6r
-:2lk$E1fsFTMT[':i`:,EhZEPUJZ*-;KS^4FJMfVUf;N7<-G-<G,A8`Vc at r=<d:QDGc4YfVHA/B
-=F-lIHDanmW*+JG>(!;QI&U:sWEanQ>^i_YI]Hb(XBg=W?@].aJ?<./X'^I[?\5 at eK<8R8Y$m!d
- at YM!qL9P0BY[`El at tq3uLTtEHZ=SitAr3j,MR7#RZtG9'B8X'0Mm[8X[V:]/C5o]<Njrkb\8.,7
-CQ>o at O1B+h\o!P?DNVPLP.Y^r]PitGDj%bPPJ(t#^2]COEg=C\QG at R-^iPgWF-aU`Qbdg3_KD6_
-G+$6lR`'E=_KMHcG+??kSABE?_0;HeGb2csT#5fE_KqloHD&3&TZ)8O`I";uI%nW.U;qYU`dX`*
-I\b&6Ure+_aa^/0J>UJ>VTXLeb(?S:JuHnFW6Ksoc%E"@KW<=NWm??ucA&FJL9/aVXO2g*d>+jP
-Lp#0^Y1&30dYY0WM6GBbYLJH6e;CK\Mm:fjZ.=i<eVpi_N3grl[*t&Ce;grdO1*T#\(6YMer[Al
-OLNf'\CZnSfTNetPIfG3]@rL]g6B5'Pe5Y7]\Aacgm5Y/QbM:C^YY?mhO)(7R(qLG^u(Tsi0qL?
-S&4-S_r at 3(igdpGSAX?W`8dH.jIX?OT>ouca6'&8k+KcWTZ?2gaQK;>kb?2_UWVhsbNc7PhYdER
-khjtGd`L(b`6ZH:+W(^p!!(Qn_oKL!(CgT\#QW>r_;j7skMFa*@p28b43Gjp]>2Aas8UBhbL"GQ
-k1nDn!!!c=!9;JElIsG+]s."cf*VKX$N^=cf[.gca*<>q5>kX\[_BN$f%&gMCOD3h3E/mpO[a,Q
-6#</UD5TF4W]G$t4)LoYD5TL5V*&Uk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPoO4Xu^F&3c1r[D5]X8TgEUb8SaD`C5'4Bh=UaI
-c.Ckc)^H%=/*m-5hXpgb1Ir<;7I'pQf'`PK-!)!;CC;1k.mJIl,$>@#:?qlZkl:\Js8Noh>88Vt
-)D#tF-Z9VC at NdUBjS/]?s8Nc`4!?[VkPbGHs8OW7C)o$@*%YbA/SFJNs5!>I,W\dR6<WXOs4?E5
-4\U&7,YojK at m!D+lhg_Gq>Vd#;)LjNnGiO at l2O(JFrr;>.Q;0.9S"WTB-fWK+>[:[8oZ^ZEZHr>
-.QqDr6Y[r. at n0gX01'J496)LFB0&k5+>[:\8T$O[CHP:-0gT;9;KP9)G;M^$4\]oU88:LjFZ)^%
-5uMS\94R#Ts7$'g/3clt<bbE>J13Wf5#H>f=*Q`!D)Fn"3_aK\=aESAHSe9-7p:7"9l<C%Gs5,I
-5>lPo?\ggGN]C1+3`q\0=dM3QQTSH=4^4=;>F at WYR6=cB5$XO@?(4&aRm:;M6!p0K?_'JiSO$VP
-6=?<N@@]boSO?qY7:VrYA"Q2"T1*7^7V&/^AYDV*Th&di8S=eiB;8(4Ue5<r8nb"nBr+I:V+bX$
-9PUFuC8O^@VbLs)9l$Y%CoC*FW)%90:Mm(,D5gBNX&3f9;/`L5E3)rVXAa,@;fSp<ENN5^Y>oYI
-<HG?EFKeefYZGtP=*:cLFg5(oYuu=T=a7,RH*CItYZlFY>C*PYHEgb'ZX%sb?$rtbIC*=/ZsS9i
-?[fCiI^NR5[U=Tm@=YdqJ[]*>[pt$"A:qF'K=PNF\R^?'AV at X,KtCrN]4Zl2BSX97LV7AV]kE27
-Bo'K<M8*e^^MA_BCl?,GMns4f_/,%GD2c>LNPfXn_f(RRE0%tWO2Z(!`GgmWEKJ1\OiML)a)dEb
-FHaggPK at p1a`N`gFd1$lQ-4?9bBK8rGaH[!R*BfCb''8qG+-QtSB5uEbBTT#Gb!!&S]Z8Mc?c,,
-HCiE/TZqhUc[;G3I%\i6U!A+]dXIt<I\P8?UsX[edt":CJ>C\FV:'smeq0gLJu7+OW7?Nuf7^-S
-KW*OVWRcg(g4lZ\L8rs_XP&B0gPDucLofBfXkJW6h2/;hM65TkYM>#<hM\VoMm)#rYhb8Ch2JVn
-NO%?"Ze^YJh2er"OL<u-[GR(RhiP8'Oga22\)ELZiKLe2Pe#h=\`8pbj-7+7Q+H%B]B,?jjd3XB
-R(_[M^#tcrkErsGRD.mR^Zh3%l'oKRSAFN]_<[W-l^YfWS\j`b_sO&5m at V>bTZ-Am`UBJ=n"@Yg
-TuQSra75nEnY=1rUri51aQE$hs1lFag=k2u`P^9Xe,TIK$O[9hda6Ild/X.H!!!#Ab/h`JaLo0s
-O,o8g84gG7d&agtp](9<e_%XS`6HNKi7lif!!!B.!6;g]iRlN`!rrE'!6iX,g"FusbKagJJO*:B
-[`?dq]>_P2hKk*P3DO?W?\CmaQpGP^4Dh#XD6,d8X?1:!4Dh#ZD5TL5V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UrXD6,d8Xu^I#
-4)Ur[D5BR8Sk3[^:MP^/hX0CqqT[XF+"/]e00/1gs6BR_(+hTV-8k,hs5j.X&ggg&/oV at FB+Z>#
-)_PhD0OGSH;s!rWli6tq,Z>O1AJlt:)CokH.;'qaC$u$$li-o13DgYH6g4IJlM^`02e!RN=t)FN
--oZ&/qZ$!`s!0O',;`6dr;ZEes!TR-,qW=W4)#oj=7lIknb`>B5$T*V7.gNZo`+q=0idlEs7?-f
-,VNEms8OH+<^0DujnA`Bs8VTgs5`kQ4AKKC6X/sXs53AHnGiOXs8V-Os#E\^4\]NH79]!Ps763i
-lM:J>nc)*[D(n1Tmf!1Qr;SfL?Ln-r0gS\-s8VWhs6p!fo)J_J7U>Qas6fmd79+7p<H%*rs7--h
-iq!-2p&@WfF@/uD8Qg-)s8V<Xs7--hht-k2<f]7AQo\<:4'7q5=IM?TRlsrF4^+@=>+@`ZS3C/J
-5?sdE>b42dT0ZeV6!g3M?D'SkT0cnY6XcZU@%p%uU.&Oe7:W)]@\cG&UIJai7qJMeA>Vn0VFbBu
-8S=qnB;nL:W(L^%951 at uBW=a at W_@--9PUS%C91-FX%d?1:2I",CTUBLX\Wc9:Mm42Dm*#VY>K5A
-;K/j<E3N8\Yu>YI;fT'BF0ekfZW2(Q<ck]LFL5+l[9%LY=*:oRGI:RtZWVLY>'RDXGdL\#[9Ipa
->C!V^Had:-[p=?i?@97hI(3O3\R0cq?[]ImI_&p:\7'ou at Y)+"J\#?C]4?Q,A:qO*K=k`I]Occ0
-Aqds2Kt_2S^M&D<BSXB:LVRSY^hJV at C5KfBM8F%c_eb7LCl?5JMo9Fi`,1IPDN2YRNQ,msa)I*\
-E0&(ZO2u:$aDm<`EfnLbOiha.bB/rlFHapjPK\-4b]T/pG*U?rQ-OT>cZkf'GaHd%REp&Fc?>Z%
-GFQp&S'Q>Ld!2)-Gb!-,T$hqVdX%M5H_8c6T at 81\e9mq=I%\u<U=Odfepa at EJ"tVFUXt$lfRTdM
-J>ChLVV6X!g4H3UK;[IVVqZm'gk;W]KW*UZWn`?/g4lW]LTB0bX4rH3gk`&eLofBgXkei9h2/8i
-MQYfnY25)?hi"\qMm)#sZ/1GEh2S_tNjIW'Zf$nOi/kA+OL=&/[Gm:UiK:S/P.0J7\)`a_jHR4;
-Pe#n?\`K'djd!F>QFl=G]B>Nnka9'JR(_aO^$1otl']9NR_S0W^[%B)m$toZSAFT__<mc/m at D,^
-T#:#g_sa59n=[bjTZ-Go`UTV?nY*tnU;ul"a7H(IoVBV%X2sMus8U[%gWRgfcd:1hdalUcd)O,L
-g"P9b":+u-"P;;]`5TjJe_/a6iHBEl1-%Y1`R_cLiU-LA_T^Tfj6=h6d*^+`g!nCU!<<K0!<`B&
-!rr>Ld*ph,hmg51e(W`-MN];C5JPIq_p@)[f]?XdLFPMl:i27_CR7>'T0-tg3c:rYD6,g9W]Y-s
-4DguYD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRm3c:lUDl>X7TfR+c4)Ur\Co9^:ThK0_`7sV?q"i%[d3gS&)'LX*s8Ua9nK9VK
-'Il'/s8V6Wrsg,N+Y\$L*G?TLGRYX"'I?m$/m.N at s6BU`&gU@%2f0?XBcemF*@bJ?/mn)Hs6ose
-+>?\7/l1p7s7$'g+"pPH5A2E%@M9n[nG`IUrVmlh<A6UJo_ngQmf+t"@43d3/2UQR-r9O7s76$d
-/iQff4^. at Ns6K=W2EtI3oDeL_s7,scl1=p%0N7WDs7H?k00<)f5>q(Ps6opd1I4e.s8VTfs"HT1
-8lo]jpAa(<s$p%$nc&RUqu8ZG<^9AbjmrHDs8P>Y at -m^ho`+sQnc.nJs$fn$o`+sUp&@WbDEpm)
-4%ETKs8V6Ps$9 at ho`+s_s8PSfBgbd0o)A[]s8PSfC$PElo`+qk@<XXt=]/^]4][M%=-ksMQoeH=
-4'@t6>+.TYRlsuF4^4C=>FRf]S3L;M5@'gF?CjGiT0ZhV6!p6M?_'MkTL3.[6XcZV@\?/"UIA[d
-7:W)]A"cA&Udo!k7qJMfAu&"2Vb(Nt8nb.qBVnC8W(Uj&951A!C8ag at W_@0+9l$e(CT1$DX%mK2
-:2I"-D6$HLX\Wf7;/`R6DlllTX\s,@;K/d;EN`;\Y>]GE<HGEFF0S_dYuYtP<ckWKFgG.lZWD:S
-=a72SGd1CrZ!)FY>'[DXHF$h%ZWha^?$s%cI'm7-[9e9i?@B7hI^`[5[pOTl@"5UmJ$rd9[pjou
- at Y)%!K"5EE\n$H)A:qI(K=YWI]4Qc0Aqdm1L:q8U^1`;9BSX<8LV at JY^M8V at C5K`AMSX+e_JG.I
-Cl?/HMo'=i_etIPDN2SQNl>su`c.!YE0&"XO2c1$a)[<`EfnFaP0%g0b&iiiFHajhPKJ$4bBB/p
-G*U9qQHaZ at c?P]$GaZj%REg&Fc?Yl)H(*'*S'ZJNd!D2.I%A]5S^MnVdX at _9I@eo:T at A=^e:+%>
-I\P>@U==Xde:47DJ"tPEUt1'lepsRIJu71PVV$KtfRp*TK;[CUW7lp'g4ZEWLoT'_X4<$,eVUBY
-M6,9cXk/H4f8?]^Mlt]jY1SZ8fSm#eN3CooYhG)@g5W>hN3_,qZIb)Bg5`PnNjRQ%[G$_Nh2o)"
-OLEu,[bHqRhNGD)P.9D5\_`R^iKUq2Pe,_9]&&^ahj1q5QFu.B^#>?mig at I>R(hRI^>bQqj-mdE
-R_\!R_<%3(k+'<NSAXEX_rRB,jdsHRT#Kia`oj#8kb,u[TZ?8ha695<l(Z;bU<2\qb3PkHm&e at h
-p](9;bL+DOc.(4qbKA2RaNiPohuE`\!!!2Md+7%.im5p"e'cmrd+3PiJ42t-^W,9>]\E2\s2`LB
-cHb.kbgP"ad+6Cdd`'E9!!ET.#Mmkac,J&_eD&BseB5q^FaJm-7T7(@dD<lPbL>BsM4$(f>=iF[
-7Vn8QDO`e+V)WCl3c:rZD6,j9W]Y-s4DguXDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]C3V`J^o3,bWPEh570T/pkg5&@5dBr=R;Q,),<
-nc/X0e'T!V,TS-gm.C>Ms8V0Srnm>Fkl:Yt-VGC1?Pb##$Q3=f,&/>XF!!&E*ACUPnc.qTrua(#
-'IHid(K)>-Bc8C&*%Ou<2dtnDs5*,BnGiOXs8VE_s!9L#)(A0*2-;b+B^u-&kkG**2.7sn at I!Ia
-o_neB2dS'p>;/*E/2gZ&rVtsIs7H?klh:AMs8Oi<<[]duoDejTp&?R&:f(AC.5Y#kq#Bg[s"m#@
-/iu_us8V`ks$9I]hsU+,s8P)M:GbC4mJHqUs8OZ39(`/`mf3=Xs8VZis763io)J_K7onmMs69=Y
-<FgA<9Og1WAEijgo)J_O8Rt7gD+.?6lM(>Ns8P\mBB]$go`+s`s8VNas763ik4AU;9O7;js6KI[
-l1Y/Gr;T)^D*;!V3EVD)=ctjMP<2s34Bn%5>a7HWPs&B;4^=79?'[]]QTnfC5[TmE@$s;gR6b5K
-6"$*I@@BPmRmUYS6t;`UA=Z/"SOI([7:_rYAY)D(T1<Lc88"SeBVA"2Th9$n8nk"lBqe78UJ#?s
-9P^FtCSXX>UeP[%9l-Y#Co'mDVG;!*:N!(+DPp9JVbqE4;/iF1E2QTRW)@W6;f\j9EiDuXWE"&@
-<HP9AFK8GbXB'JF=*C]IG-+hhX]]nO=a@)OGck4rX]g"R>C3MWHE^V#Y$HF\?%&q_I'R(-Z!Mjb
-?[o at gI^EI3Z=&3h@">LjJ[/a:ZXSNm at tV.!KXG?D[:FruA;%@%KskTJ[q:B(B8=!1Lq.2T\S-f0
-BSa35M7RGZ]5!58CQ#iAN4j%d]kiY at ClH&ENP9:j^M](HDi_\QOMPmt_/PLPE0.nUOhu.%_fCpX
-F-FOaPf7a/`H7?`FHjaeQ,\!5a**chGF-BqR)sT?a`s8sGacd"R`]oFbB]T#HCW3*SBQ;Lb^?#-
-I%JW2T$DbVc[DG3I\>&:T[8(Zd!h_;I\Y8=UX4Ldd=7t>J>L\EV:'mjdXnCHJu at +MVpp?teUsgN
-KW3OUWRca%eVL9VLo]!\X4)p,e;:9VMQPEdXjr<2eVgT]MltWhY1AQ8f8QobNNh&pYh4l=fSm,h
-N3_&pZe1;FfoEGmO1!]'[bHnPgQ8kuOLEo+\(m.Vh3,;(PI]P7]&/a`hit_/Pe5_9]AJpfhNkh4
-QbM at E^>bNpi0_7<R(qRI^Z1d!igR[DS&43U_WIB+jIF-KSAX?W`8dH.jIX?OT>ouca6'&8k+KcW
-TZ?2gaQK;>kb?2_UWVhsbNc4OiV*<OaiDQ_hr;r*cd'b\io&k6^r$?Z#7LqKbK7uB]YE(KfZVC\
-^qRXXStRqr4h&,T[_UYhqZ"X\f\5$9f[SHj]t<:UeIr&j$ig>7!!3B*"P(]Eh:UN3da6Uug3eF/
-5t=qj`6c9:cbmrWF+K?'6<?lsLIQ*B5AloODPK10W&egr4)Lu[CoTU7W'"pp4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlUDPoO5W&S^n
-2fbKLELo4/V`npq6Y`AgC6PsIg$&A2ceI1m,:XHK2"LPDiUHjg0gG++s5!JM'e2]^+\WUt?5G&'
-.QVe[*)R_1=qW8TmJm4Ps8NWV667sd.m7Ya.9RoS>Sek^,W&LF2Gl.o>pMC,n,NFJp\ud.<\6U?
-)Cn5n/4K(.s6]jd/3I5_10!cCs6]db*\L892HMLp?R%C*nGiOXs8OQ1<?!MY4\oW at 5>s:(=6fba
-nGiM>5#`:E5WqbRk4J]@r;ScK=ZK&So)JaWrr4lI9^i#]li$iE92[H09Ci,_o)J_I7oSLBs7--h
-0gnYo8lRT8:FA.k4&&rLs8VTgs"Qi>2Fgt@<c-gcs6]db93ZKt8R4VZ at IjHuh<k,>A9$i.s3p#t
-9jMQo7oVoWA5$6B7os:a93CT[s763io)JaWs8P5bJN6kl3a.M)>E1dLN]^R-4^F.4?'%3TO?Hm2
-5$j at 9?]mW\P!EE=6"-!D@?a&dPX/`B6=Q3IA!TJlQ:,8M7:hiTAXGntQpkSR7V8&YB:;>'RRh+]
-8SO\dBq.e1SP!Xf8nsniCS"17SkNsm9Pg=pCnFF=TM99r9l6OuDP9gCThfU$:N)t'DkKsIU/>p)
-;/r=.EhcNQUJl60;fea5F/2fYVH%c9<HY0>G,JAaVcS)@=*LTEGG\MgW*+GE=a?rLH`1+oWEXbL
->C3ASI&UD"XBg:U?%&e\J#lt*X^?U\?[o4cJ?<41XC-U\@=kUjK<A[9Y%*-gA;.6uKs5*AY[iHl
-AVRI%LU(NIZ=f!"BSj*0M6prQZtP<'Bo9<5MmdAY[VLi2ClPr at NOWea\87/7D2u/EO1K4i\o3\B
-E07ePOh>Xq]Ps"GEK\"UPJ2($^2oORFHsX`Q,%L,^iYjWFdBjeQbmp4_KVBbGaZKpRDa?>`HI`i
-G+6HpSAocC`d"&pGb)m"S]?&Kaa0T$HCr<+TZVVSb']o+I%e`2U<.k[bC-20IAG&8V9FCbb^ZM7
-J#:J?VTj[jc[i%@JZ-nHWR-6rd"A at GK<!=OWmQR%f7p?YL9&s^XP&B1fnccaLooBeXkJW7gPN)f
-M6>TjYM>#=gl&DmMm2#qYhY2Bh2ASpN3hB#[,6kMhi>,&O1+#.[c*:UiK(G+OLO53\Dr^]j-$t6
-PIfk>]&T!cj-.(5Pe6"A]]59ijd*U at QbMXL^?(]qkEipER(qjQ^uq-$l'fHPS&4K\_WdQ-kF9BP
-SAaW^`T`r4l(5o[T?$8ia6TA<l^u5`TZHJnamGeDm at qbkUW`,,al2aaqV'TGeC)@U_meCRc+q'!
-da5qoj4D/`[.!D at e'Z.be&UM-e_T!+F)bbO4#Y+*ftGS[lLjtse^D=U^;\+%inr#i"onr1!7Am&
-d)j*9%0RUe&&lT#_T'"*cc(9aMa'[3^W"[<ak"GWgM_S%/4*K;EK3J(P<WrT4)UfQDl>^7W]P't
-4D_#[D5]R6V`Sdm4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UrWDQ#O5V`8[f3,tNNDl#X6VaG3m8SaI5l1FKFs2`dC'd"qV0i at TBs6'+U
-+>cb!,r"Was6BXa%4"Xc/n5kTCB>;K)DGV.,=rY)9BuQWhtm?t4]Vq96P_7SiqNK)li0"AD at e*\
-&gp!c1.hlr2spYFli6tq,s:5`s6BXa-pC]!s8U:#r?XL-.6V#'s8V9^s"-TO+#d=:.nr-+FPZTh
-ir&g(5?fX,?5"hV.R[J_3)8c=s5*MM01TA,88'_D at dsEtl2(E(1eL5?C<kf,nGiMJ9NC!AqXFOb
-2+^b-9NpBGs7$'g.m?bqs8VNes#Ek[1J(V&86/&ZAjom?ht6s9s8P;_BeD_U8mZ`0s8V6Xs#!AY
-7Tsk#<GCLes7$'g0go%2s8VTgs%?[:6WRhd<G"a)CHG9u8mQ=2 at rt.AC#\gckl1TE=bA_;ME4q!
-4'RY*>Dt[LNBLR-4^F(2?&h'RN]pd15 at 9L:?][N\O[3E=6",pB@?NobP!WWA6Xu?JA!BAlPso8M
-7:hcRAX5brQ:>JQ7q\2ZB:)5'R7V+]8SOVcC7 at h1Rn@Fb95C%jCRe(7SP3jj9Pg7oD4XI=SkX'n
-:2Z\!DP'^CTMKL!:N)n'EM-0KTM]^%;KAI/EhQEQU/Q--;fe[5Fei#[UfDQ5<d(<?G,88aVH7u=
-=*LNEHDanlVce>D>'m2OH`1.rWEXbL>C<DUI]Hb'X'L1T?@T%_J#m"-X^?U\?\#7dJZN71WaUL[
- at Y:akK</R9X^m-gA;.0sKs"s?Y%<?kAr!U&LTkEIZ"T!"BSj$.M6^fOZ>#3&C5]H6MmR8Y[;:i2
-ClPl>NOEY_[V_&6DND;FO19+i\T!\BE07_NOh,Lo\oEnFEg+.VPItt$]l]ORFHsR^Q+h@*^3,aV
-G*g!fQb[g4_0DBbGaZEnS&9E>_fhQfGFcZrS]#cE`H[unGb2m#TZ;AOa*OE!H_JN-Tu_VUaaBi)
-I%nZ1Ure%]aaL#-I\t8:VTOCdbC?G5J#CJ at WQg!nc%2k=Ju[+JWm66tc\&:EK<!=RX4W0,gkMia
-LTB6dX5/T5hMA8iLofHiXl"u;hheJmMQYlpY2G5AiJXnuMm)#sYi(GEi/Fu#NO.W(Zf7"Pj,^V/
-O1"&0[H*CVjH-h3OgjJ8\)rj`kEEI?PI]h>\`T*dk*3I?Q+Q7F]BGQnl'K*KQbD[N^$:rtlBo<O
-RD8*V^[.E)m at 1r[S&4Q^_X!].l^YlZS]'od`9j/8m[qMfT>p>l`p]P>n"@_jTucbtaRQ"HntXA!
-X3'Dts8U9b\BW7/j5SG4cb7lY_U?iH"pFu?&cgD/^rXR(^:gT'grdg_\:T9M5t!`7]"5]*eF`e@
-d,!0qf#-8#aoMSE!s8P?_6)GEa4&GQbg!g$!rr<)!7BK9f]1G(JVQ3N;RsZl_p$lXf&Uk(P:Jq%
-:Mu(XD3I/$S2tS`3,b]UDQ#X6W'"pq5&@,ZD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRm3c:rWDl5R7SiC_[3cCcWD5BU8T1Ng[
-_;4>2oC:5djVfI()C%l8n,MnWrrX&s%k9dI+ZA9Ts5a+X+#Rp>)He at JG7Z--)DbXZrr:R>s5s@]
-e*d5Y3aEa`@H%%^lMpkj+ at 7;6>jMFili7"Ns8UpJrusL)*Ap^[s8UgDs!g<B$6__$s8VEbs5<\P
-kPtPf,u5pVE$n%k1JW2q)FEWes5X.Z.7J%`/Q"K-G9]F_-q._#q#BOWru*^o-pD8`/Qb,1G3]#*
-mf3=Eo)J.Xs#!AV*&0qNs8V$Ls6fpei:R'8s8P#MC-5 at 24&^"FmJlJOs5X(XlMpn4m/K4LFQic)
-hY7%A at Y$7*CFVY]0hH6DrVu0_s4d,E2G7fKqu?*as"m5W3(muQs8Ug?s6fpek5#&=q#<ojHJ at lf
-mf3=Ts8VNes$U(>4BRD"=H5FFO#pO,4'I_.>EM'RP!*'54^=.5>`q9VP<WB<5 at 0R>?^3obQ9eoE
-6"$!E@$X,fQU>5L6XlENA!obrRRLbU7:_iUA=>u!Rn%(\7qS8^B:VV-Sk3Ue8njniBqJ"3T1`pl
-95:+nCS=F;ThK6q9l-OuCnaX?U/#R#:2Qb%DPU'GUebm(;/rC/EMQHOUf)60;KAU4F/DlWVGhQ5
-<HY6?Ff8;_W)e)@<d(HDGH+_gW`ODE=a@#MH)b"mW`j_L>'d5RH`UFuXBU%Q?%&k]IBHk(Y$QR\
-?@K(bJ$<:0Y[;ma@">FgJ?NC4Y[W3h at Y1jpK<f$@ZXe`qA;%:"KX56DZt>'#Aqm^+LULlP[qLT,
-BSa-2Lpq)T\8$o3C5TQ;Mn3_`]53G<ClGuBN4Wqd]P`bCDN;DKO1oRp^Mo:LE0.hROM>dt^iGUS
-Eg"7[PJVF+_fV-\FHj[bPf%X/`-.HcG*^*kQc=9;a*=#lGacZtS&KWA`HdunH(;m#S]?&Ia*O;s
-I%SN.T?2JQaaKi)IA"`3U!%nYbC$#,I\Y/:Us"4_bC?A4J#1A>VTjXgc%)\9JuI"IW6^'oc\&4D
-K;m4NWmQL"d=eLLLoK0cWSWH1hMJ8iM5oHjX5Jl9i/4SnMlblqXPo)=iJanuN32*!Y2bMEj,:,$
-N3MB%Yi:YIj,UG+Nj@`,ZfR:Uk)ct4OL4/3[-!LYkE<:;P.'S<\*9-elBJgDPdp"C\EK3gl'ApG
-QFc at J]Bbism$PHPR(VdQ]^2'"m@(cWR_J3Z^[I].n=7;`SAFW`_=!l2n".GdT#:&i`:9M>nt<tm
-TZ-Jp`U]_Bo:j:tU;uo$aRu at Np8uEuq#CBBe&0_e`n&b^\@JU#k18AFc2dtH!<N8:_6MbMbg=bR
-hVZYt`O1;MF$iM^ZGOGpf@]!Qn$C!DeDnouf"TepaN`/Fhr;u2f#>eU^<Fs?k3^p=bdPL<\\lh1
-Fb5E,5uFr%bdtgD`R<acKU!rN>"<7]6Z&)PDOrn-UH!1i3c:lXD5]X7V`nso4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V`J^q
-3c:iVE1T+0S3(V`5&I&^CS"+5OLN]qmf3=&dF]$P0bba&'-:*h,Zl?OAJd1&$7AC]11(M=?NhEV
-'J")/+_2<>Ba#SV))P\:1fb8D;A:fb(G]82045_VAfEI4)DPM?2e*OP<>R8h'eE?(10YeW?5tb+
-+#[IO4(K$U<$XP:+?*dA-W;6OCEGTU%4bj*3,T]sE#:KL+$FTd5&qN"Bc]BS+?s`l7s+kV:FAVR
-02?g<6>e;CFY6%+.6;Jr2esZsBHf9B1Ic at A88ok8?8kMpmJm4Rs8OlFCbA"h1.?+76>\&2Ai!&#
-7q%-$6>A;MF=]jt5$*4T2de4+EAL73,!'Bt;1Cr;M_n+T6sPZn2ebchO$H]s0LK_A;1(Z/In3du
-4&1&j=bJb-G!&QH4&1&b;1(uALcJ.Q7TkC4=+WA*HotJj3EMD+=HkmMPrr374Be%7>F.KWQTeW?
-4^47;>aR`]R6Y&G5[KmG?^j>gRmLJO6!p*K@%9SmSO?nW6t2`WA"Q2"T13=_7:Vr[A=uG(Th&ag
-87nSgB;8%2UJ#9r8nb"nBV\:8V+bU"9PUG!C8O[>VG:p)9l$Y%CSspDW)%6.:Mm(-D5g<KVc%H4
-;/iL4DlHWSW`*l:;f\p<EN<#YX&a;D<HP?DF0/JcY#f_J=*CcLFg"kiX]fqP=a7,RGHY1qYZl at V
->C*PZH*LS"Z!Md`?$rtbHa@%,ZsS3f?[fCjIC3F2ZseHl@"5RnJ at 8p<[psuu at tM4%K=PNF\RgE(
-A:qF)KXtcL]4Zi0B84'5LV7AV]kN88BSX99Lq[V\^MA\@CPooEMns4f_/5+HCl?,IN5BIl_f(OP
-DiVbUO2Z(!`GpsXE0%tYON)='a)dB`F-=UePK at p1a`WfhFHagiPfe07bBK5pGF$HuQd'cBbB]Mu
-H'ug#REBiEbBfW#H^i6+S'65Kb^H&-I@\Z3S^)\Uc[MJ3J"P);T?r%[c at DY9J>1D at U<nIdd=J(?
-Ju$hHUsajjdY+LIKVm7PVUU<teV0pOL8`[XW7H^%eqpB]M5]9fW8<E2hhnDjMlP]nWo/f8i/F_q
-N2torX5T&>if1&!Nih?%XlGDDiJt,$Nj%H'YiChMjH-Y-Og=)3Zf[FWk*!(5P-a;7[-*[]k`iL=
-Q+#qC\*B9hka&aBQFQ.F\`oKmlBo0JRChdR]^2*"m$bTRR_8!V^$V?(m[V#ZS\OWb_!mr2m[h5^
-T"scd_=+&6n=[YfTu6Dp`:BY at ntO(nU;ZVt`UfnFoVBM!V8r8+aS)aVkj.s?a3)6Je^)ascILLm
-d*p.V`k^6]dbj!:c-XM^f?qpmajSY_bKe(OH#l,96,D"&X2<$Br;Y7.ikNm[_9]p8cbIfXaLoC"
-bgFSObJ_ZWcc4>P`mVlOgWIUic?Y2,4 at r_b_pc$1d_=#`F+p#67pnr+NC.QL5&QrQDkf:1V`J^o
-4)Ur[D5BF5V*&Uk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPoR5W]G$q3cLTMELJt-Tg!=e6Yi2`CQ?*^ipQjH`R`i_,s*P4 at MU(j
-%j"dX)cHkY:D59g%jtog(L8+>K,,tb(G'nC,]+;LDAFm<#9d%W.9\)bF;-<<!uk;Z0lIjYAf`^E
-(+Nl80kqRYB.6#e'e3W0/nH=iE=X=!*AV=V4EW&8FsK%g-9?8f0PhmlHSS3T+?4fb/o_dcFtQ:A
-%k)0C7"cI7F!*Jg,!:-*98G)eJfm*s%k2$=6@^7;GrA0O3(f,Q1NP<>Jh]ZB,WBWs7XHdUGh20[
-g$Sen7!UUZJLEU&/O4Y at 8qeQQF=BP$4&h(i7suaMGW/HT.n"bL=HPC5KfDnf4&_1]2KUlRNAO=d
-2,0&Y4a]%SK25sI0LL:U<KJ^pGr/$C6s#OA>*VZaQTS'$0LL:R;N3e7MFCX23(o!$@\5e_QTA-6
-4][t5=.2<SRQXcB5ZsU@=e%`[S3C)G6!BgE>Fn/cSj?VR6sZHP?(aSkTL)qW7:)ZU?_U"sU.&Ib
-87A;`@AHG&Udedg8ReMeA#;k.VFb<r9P(.pAZ/=8WCpj&9kL at uB<"^>W_I0-:M?e'BWFsDXA3K2
-:hd",C9:?JX\`f9;JWF3CT^WRYYoAB<,Jg;Dm35ZYZ,SH<c>6BE3WMbZW;+Q=E1ZKF0o(jZrhFX
->'%)RFL>@r[p!s_>]mGYGICe#[Tn'd??`k`Gdh(+\R'Tm@!T:iHb*X3\mTot at XG^pI(Nm9]O?9#
-A:D.#J at oHC]OZT,B7[d.K"blK^1Do1BS+!3KYV;S^hAG<CPBW>L;I_[_J+bACkfiCLr=.c`,(:L
-Di)JNMT0Rk`bgUQE/M\SN6$!saDd-\F,e=^NllF&b&NHaFH4OcON_j.b]JulGEL0nP0S96c?5;q
-G`pBsPgF]>d!1i'H^3$)QI:)Gd<_/*HC)s)R*^2Id!V8/I$rB0RF-JQdsde8I[ef9SCE%Ye:=+?
-J=Y5 at S^i=af7BUGJY:SGU"=mif7TgMK;."NU=b0qg4c?VKr!FWV;$a$gP;Z]LSij^VqR$,g5;l^
-MQ,6dWnE<1fo2ucN2tZkX4iQ7gPr;hNNClpXk\r=glJVoO07<"Y2,2ChN+nsOKmZ)ZJUeMhib>(
-PI0;4[,I4UiKLY-PdTM9[c<X]j-I18Qal.D\E0'ejd3L;R(;:G]&f?kjdNgDS%RpR]]YcskF9-I
-SA"-W^?M3&l(5ZTT>9cb_!@W.l^tuWTY]oe_X!o4l_;;`UVuPp`9j><mA%VeUrDbu`p]bDn#".p
-Vo\D1a6<*os,NA8H$tKhH%BmTIY<WCItNc1KoL5#KS,/FCN"NDItr;tLjO`2N0'M\2aaLPcFD*[
-nGiN,JW4DkJqK8NHA.-$KnkGDQ=t2^Q_19lF+&7`MNa^1FbPN`H[fOHJ2g)%^WbKEa4J)PhfO^H
-0hZ+ODN7)$QTf;Y3cCcQDl5X6V`Sdo5&I&YD5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UrXD5o[8V`Jde3cUTMDkB42T0mCa
-8o'Bqe_T`ps2*7=$PtB=.TmE*=;iMq'-gfs-XmZ7AITep(bBe>+`J,BGQo%!)_QFF+_29:AfNRA
-*]7^@+^,6s>:)FX'. at K3/o;+B?RRs[)(TD@/o1n9>:i'f)D#VA/8?@cE[!>\)_GhG05VjgE at 3bj
-+uXQb13XZjFs8hm*\r!f3e&2+G9Sql-9HZ!20^fDL*J[)+Z=Nl4FJ>0Ft5h/-TZW16]!3LI3pgt
-/3A;=7><'EE\p17.QV])5']1]Kf2DO3(S]T5(#=\L+trE0ggLT;2c\YE]-UG1.[!K6[pdZJi?D\
-/4+e=7"[X#OX`SE6s5s16A%$`Lc\Fs3_thq8;K#eJjE4q3(Jcr=ID?IN]BXe2b&Q_8;TN)N_*?@
-5YmJ/;Nj+3M,.HM3D58p<0]UGQTeE:5?=1:<gc3SRR(&F6!0UB=IVTYRmL8J6X$$J>+J&cSjcnV
-79lHR>b=GiT13+Z7p_lZ?D0nsU.Jaf8RS;b@&$;$UInsj94F_j@\lb.VG1U!9k:.sAZ/@8W(pp&
-:M-S%AuSU>W_d?.:hQe*BWG!DX&3Q2;JE41Brk6JX]&u:;erF6D66fTX&X#=<c5!>DQ[&ZX]KGE
-=)Y3DENrYdY?>kM>&piNEjAnjZ!2:U>B@&TFgG at rZX%^[??W\^G-kV#[9n-c?[&ndH+.4-[paQk
- at X>OnHFRI3\RTus at sbasI(3^7\7L*!Aq%='I_'0A]4c`-BRma/J at oQG]P2r1C4a07K"c#Q^MJS=
-CkTT?KYVDW^hneADMH#GL;Ika_f1FME/;GOLr=7g`,UXQEf.kWMT0^qa)m9]FH":_N6$+"aE<Ka
-G)j^gNllR,bBT,mG`^-oON_s2b^#>qHBQR"P0SE<c[:u(I$N!*QHsuFc@;,)I[AB2QHt&Jd".P1
-J!eT8RF6YTdY!t9Jt(5BRaZnZe:jCAK:LGFT%&Fce:jLDKqQtNT at J[ieq]pLL8!1TU=b9sfSQ?T
-M58g^UY1O$g5Dc\Ml#!aW7?m,d>t6RNiLNhWR?j.dugZZO/p`mX4364e<6l^Ofd/tXOWK:es*;f
-P-3B"YL\l at es*DjPd8r,Z.P>JfpB&!QF,A4ZeC_Pg6f8%R'te<[G71Zh4(n1R^h4D\(mF^gmkn1
-S@[RJ\_`mhhk.O=T"O!R]AT9ni1RaATYBEZ^#Ga#j.jBMU;5ib^Z;-)ihXENUr)2h_W7Q2jep&Z
-VSqVp`9*r8k,?8^W5e&#`osDBl)VnjY/fWU4B"L9>:qg*4%!%78R+#39f"k+1d"Pj4ARq%;aX2a
-3C-V*6<,p-;(jk#3(.#[`ojqXmNOG_4\]HD6rYj(9/o=92aC.u5>jL-<\?:)5YGN;3__+a81m)!
-2FgV0:gYS/7_d4%]uo'CcJEVuSLm?@6Y2'@D3mG(SiUed3,b]UDPoR6V*8ak5&HuUDPK:2V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRm
-4)LuZDPoO7S2tYY4)^`UD4a74S4[RU[*RCms8UL)jVoO-'c]gb,[D$';\UH['dd6#-=IQ6AJ6A&
-'-q<+,\du<C(hn+(b029.qKPK at 2LP&(bB#2/7BAG at i-_+*A1qE/nQ+VAf`U<*\V.J0PDO^BHJpA
-+u=!Y1M\0jCEbQM+u=!Y1M\0jCEbQM-T5rl20('%E[N_b-T,ol20('%E[Nbb/3A#+4*3#8Ft>^s
-/3 at r)4*3#8F=]Lq/N\2/4*W>=GV)%%/Ne/-4EE);E at j=n1.$.>6?Y+NFtuC-1-p.?6$P.NGVMO0
-1IlaH8:!$^H88$;1.Z^H8:!$]Hnn3>2+i?U8q/`lJ2U&P2b\i_9S5<!L,hq\4A1>j9S5K%K0;n\
-5#$\p:5(o-Kg/=d6W/b.;Mdb=M*k0t6W/b.;Mdb=M*k0t6W]46=,]LJN'g[*6W]46=,]LJN'g[*
-7pD'F>EDB\O[r`>8R7KN?'7fdP=f/F8m[]R?B[ufP=o8I94*oW@$ODnPtYSN9js>^@?sVrQ;1nU
-:1BPcA!g&%Qqq4Z;.Z1nAXZJ-RSdXb;.Z1nAXZJ-RSdXb<be7-C7eOAT2o^!<be7-C7eOAT2o^!
-=`'g7D4asJTNQ-(=`'g7D4asJTNQ-(?ZW)OF/<5bVI+D@?ZW)OF/<5bVI+DA at Wn_[G,\qoWFC%M
- at Wn_[G,\qoWFC%MApURkHECe*X_)m]ApURkHECe*X_)m]BRHsrI'..1Y%`<fBmm1"I^!R9Y\S`n
-Ck/g.J[93EZYb9"DM#66K=,WM[;U]*DM#66K=,WM[;^f-E.kZ>Ksu&U[rI,2G)EqUMS++i]Q]:I
-G`9@]N4sOq^3P^QHB,deNkg"&_0_6ZI#u3mOMZF._gRZbI?DEqOi)X2`.!lfJ!7j$PJr':`dj>m
-JsXK/Qc+QC`.F>oKU0Q.Qc+QC`.F>oM4;VBSB6VWabQD.M4;VBSB6VWabQD.MP&%JTZW.ab))e6
-MP&%JTZW.ab))e6NM=[VUWndmc&AFBNM=[VUWndmc&JL at P,ZWfWQ:='aHEODPc;`eWQ:='aHEOD
-R'"SuXj!07ba,BTR'"SuXj!07ba,BTQ`nSuYfW68ad99TR'=`#ZHJZ at bF#TYS[He6[a1MPc^_Gi
-S[He6[a1MPc^_GiT=<:@\C7(Ze"=2#Tt/^H]%*LbeY0V+UV#-P][rslfV?.4V7kQX^=fBtg82R:
-Wl!Pj_q_9/go83HWl!Pj_q_9/go83HXMitr`SR]7hQ+WPXMitr`SR]7hQFfP[`748`SJ)Dh7:M\
-\]*C8`SJ)Dh7:M\\]*C8`SJ)Dh7:M\\]*C8`SJ)Dh7(A][`%@;`9F_LjL<+c\&R+3`n.f at f=JrS
-]YiR<_r&,Ehn$b`\]*C8`S7rCf=ArO[DUA$`mM65cb7NQ]Zf,KJX%TK>Y8gn6Z&/RDOrn-V)WCk
-3cCiVDPKC4Tg!=e4DpoUDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V`Saq4)UrWE1B"/RQPJ]5Ad)_CRe(5Nm?eVnGiNu_oF&S4rYV8
-(EH9_)bD)$<u`\k*%G)2.U*lA>oY;!*%>/5.:!oC>9>G%+"g\</ls,I<?Ehn+"gP8/ls,I=!98#
-+Y[%C03]VT>U(q-,;NOM0jQ"Z>pV74,VraQ10u4^?6q at 5,Vr[O10c+\>U_O;.l:T`1g_ai?Rms?
-.l:T`1g_ai?SOTO0fif!3b'm*@kg#S0fif!3b'm*@l6Pf1dPt86#/;CCG\@l1dYh36>&,AB/`7o
-2aqI?7;=bMC,\Rr2aqOA7;OnOC,\_$2bIjE8SpCYCH"h%2b at jF8SpCXD)b.*3(e'K95cg`D`UR4
-3_XQT9QE0fE^3BB5u2Sg:Nf$"F@&fJ6;Vel;0YH*G"#>U78nG";gLl2GXYPW78nG";gLl2GXb_[
-7TOb'<d7)7GXb_Y7TOb'<d7)7GXtq_86C1/=F*PAHV%@e8m6U7>'rqGHr"+#:LAZL@"M3_Jl,s/
-;.5)S@=qEcK2Z96;e(M\A;4&oL/hf?<FpqcAVX;uLg+YS>AK4&CQ2P6NE^1X>AK4&CQ2P6NF$La
-?>bj2DNJ1BOBugd?>bj2DNJ1BOC<-l@<.H<Efa^MOC<0k@<.H<Efa^MOCWKtA9F)HFd$?YP at Sg"
-A9F)HFd$?YPA,<2BmH.]H(&GmRV@&9BmH.]H(&GmRVR8?CO;ReH^nkuS83JACO;ReH^nkuS8<SD
-CjhdiI[k8(S8E_FDL\3pJ":J,STKR\FG6K4L88sHUiqNiG))o;LS]3NVKIWhG))o;LS]0LV0@`m
-GDN, at M5PTTVg=9#HAebKMlD&^WdB])I#Y1SNN7GdX+-56Iupg`Ofs:tYCMb=JWd6gP-BM#Y^qtA
-Js3HkPHf_'Z%J:HK9WZpQ*Z./Z\FaNL6]'!Q*Q.0ZA+XML6]'!Q*Q.0ZAFsVM3t]-R'hd<[>C9Y
-M3t]-R'ha<Z\k6[MOV#2S$e-C[>LH]MOV#2S$e-C[?IE#PGGpVUqW%g^6>A,PGGpVUqW%h]pGY2
-Q`.Q`W4\Iq]U,S0Q`.Q`W4\Iq]UQ"<S#jDpXMC=,^mhF at S#jDpXMC:,^7MUFT!?)'ZGE0=_4\-O
-TX2M.ZbiEC_kOQWU:%q6[D\fI`1jZXU:%q6[D\fI`20ucVRajH\]Ue[b,;hoVn1'M]?I4cbc/8"
-WP$KT]ZmIicDnS'X1lo\^<`joc`P"/Xh`8b^sB-uc`P"/Xh`8b^sB-uca:aD[)^b)a4 at W<f!NKK
-[)^b)a4 at W<f"&oU\]NO8ak=5Hft#5X\]NO8ak=5Hft#5X\]NO8ak=5Hft#5X\]NO8ak=5Gh7:Se
-]>ipDa5=MMgUtVY]ZAU:aOIrEf"T/Y^;f!C`neAKh7Ue_]ZAa<aOIlEd_*]L^Wb3AaO.iLf>5ee
-EIsE'5[$cqN'hHK5&QrQDkf:1V`Jam4)UfWD4s.1Tfd4f4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPoR5W&nmp3cLTNE1B%.UHr[l
-7VSJhBoopOg%#+ at g>_2,_9LQ_p<_7``QRYmeagT&k/,F)_Tq;\cK<!hk/,F)_Tq5ZcK)mhjhoI*
-_pIG]d,DmhiPX%$_pI>Zd,;jiiPa.&`R*V_dGi0nji,[0`mNtgdHANskJbj3`mNnedcJKrj2KI,
-`mNhddc/EsiQKX-bL,:ldG`9riQKX-bL,:ldG`9riQKX-bL,:ldG`9riQKX-bL,:kdG`*ki5F"#
-`6dAZd,)^fhSddr`6d;Xd+lUfh8Rdt`R3M\dG;dhh8Re!`R3S]dbi'oho+($`7<b`e_S0oho+(&
-`7<b`e_e9ohS[k"_pmP\eDA-niPa7)`73bceD\EsiQ'F)a4'"geDSEtilKX-aOK4ke`"U!ilKX-
-aOK4jeDSEtilKX-aOK4jeDSF!hoOC+aO]7if&+R"hoOC+aO]7if&+R"hoOC+aO]7jfAOd&i5sU/
-b1P[qf\sj"h8[t#`mihaeD80qhT+1'a49%ee_\9ogr7at`REV^eD8-oh8[t#a49%ee_\0iftu+h
-_U-uQd+Q:_ftu+h_U-uQd+Q=ag;D=l_pR2UdFuLcg;D=l_pR2Udb2RffYl7k`7*AWe(DUffYl7k
-`7*AWe(DUffYl7k`7*AWe(DUffYl7k`7*AWe(D[jgr at n"`mrkae_J0pgr at n"`mrkae_J0pgr at n"
-`mrkae_J0pgr at n"`mrkae_8$ng;_[s`mre_e_8'pgW.n"a4B"cf%\*jf>H%g_p[/Te(DUffYl7k
-`7*AXeChaff>H%g_p[/Te(DUffYl7k`RNS[eChdhfYl7k`7*AXeChgjfu;Io`mre_e_7sjfYl7k
-`RNS[eChgjfu;Io`mre_e_8!lfu;Io`mre_e_8$ng;he!a4B"cf%\9sfuVataO]%cf%J-qfuVat
-aO]%cf%J-qfuVataO]%cf%J-qfuVataO]%cf%J0sg;qq!aOo.df\"9tfZ;^taOo.df\"-leATkd
-`73;TeC;FdeATkd`73;Te(2OfgW%^s`m`\^e(_mkgW%^s`m`\^e(_soh8n.&aOT+fe_S<sh8n.&
-aOT+fe_S-if##hc_U6rOdFQ4`f>H%g_p[/SdauCbf>H%g_p[/SdauCbf>H%g_p[/Sdau@`fYZ%g
-_U7#QdFc at bfu)7k_p[5Udb2Odfu)7k`7*GYe(Vahg;VRr`RNY]eD%slfu;Io`RNS[eChgjfu;Io
-`RNS[eCh^df##hc_U6rOdFQ1^f##hc_U6rOdFQ4`e\fhc_p[)Qdac7`e\fhc_p[)Qdac7`e\fhc
-_p[)Qdac7`e\fhc_p[)QdauLbhT*pua3`M[d+-1ad`9b^a3i8SdF-(^f>l7ka3WJ[d+QIdf>l:f
-a3i8Sda#n\d`Ktg`m2uRdauOegN8+4.R7*1C5PGrPs9,W4)UfQDl5X7V)rRi4DpcTDP'%/UH<@i
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UrXD5]O6V)iRe4)^]QD5BO6VatKp:M>m,e)0m!s2`L0cHk"mf'LK!ik3+W^W"UEe(`*rf?Dar
-bgb4feCMjnf$)Xpbgb4ee()Xjf#uOnbL>%ce()Xje]ZIkbLG"aeBuIhe'$7ibgb4feCMjnf?D^s
-bgY7gdb)alf#uOnbL>"be()Xke'$7ic-t(ce'HChcd:+dd*g7eda-:gcd:+dd*g7cd*9k_c-F\\
-cHsh]d*9k_c-F\\bgF\[e'Z at gdEC%cbLFk]eBc=fccahcbLFk\e'Q7dcH=V_b1"YYe'Q7dd)sha
-b1"_[e^)Cgc-"S_b14bZe^)Cgc-"S]b14bYeBH%abfSAYajePVeBZ1ccH4S]ajeVWdEK\ZbfJ2W
-aO/5Rda-%`c,nD[ajSGTdE]h\bfJ2WaO/5QdE]h\bfJ2WaO/5Qd`TYZaiMoQaO82Od`TYZaiMoQ
-aO82NdE0GVaN2fPaO82Od`TYZaiMoQaO82Pe'#k^b0&5Xb1+VWeBH(bbKA>Yb1+VTdE0GVaN)]M
-a3huKdE0GVaN2fPaO82Uf[.prcd(1icIgIgf[.prcd(1icIgIff?_^ncHXtec.C7cf?_^ncHXte
-c.C7cf?DLkbg"b`c.C1af?DLkbg"b`c.C1af?DLkbg"b`c.C1af?DLkbg"b`c.C1`f$2Fic-4b`
-bgt%_f$2Fic-4b`bgt%^e]c4ebfeP\bLOh[e]c4ebfeP\bLObXeB,k_ai`,Tb1+PUeB,k_ai`,T
-bLObZf#u:gbKSP\bgst^f?DLkbg"b`c.C1_e]Q(cb0/>Xbgst]f#u:gbKSP\bgst\e]Q(cb0/>X
-bLObYe]Q(cb0/>XbLObWe&]Y[aN;oPaj\>Qe&]Y[aN;oPaj\>Qe&]Y[aN;oPaj\>Qe&]Y[aN;oP
-aj\>Rd`9MYa3)fOb0n>QdE0PZa3)fOb0n>QdE0PZa3)fOb0n>QdE0PZa3)fOaO8,Md`9GX`Q6NI
-aOA,Le&BDW`Q6NIaOA,Kd_s2S`5g<Ea3qoHd_s2S`5g<Ea3huMccsSXccOJ[aj8;TcI'b[ccOJ[
-aj8;TcI'b[ccOJ[aj8;TcI'b[ccOJ[a3`/Wf%&$re'6Ioc.:@hf at J7!eBZ[scI^Rjf%&$re'6Io
-c.:@gf%&$re'6Ioc.:Ffe'cCfd`U"fbLG"ae()Xke'$4jbLG"ae()Xke'$4jbLG"ae()Xke'$4j
-bLG"aeC2UjdEC%gbLFq_eC2UjdEC%gbLFq`e^Vgnd`g7kbgk.ce^Vgnd`g7kbLY+bf[7mpccate
-bLk.af[%anccatebLk.af[%anccatebLk.af[%anccatebh(7geCW'sf?i$rcdpFhf$)Ilb0S\`
-cdpCfe^;^ne^)ascdgRle^;^ocHk+bce$=aeBQ at ie'-1bcI:@edFibtOtT+(:hknXCR%,%S3(V`
-3,b]UDl#L5UHEFd4DpcQDPK:2V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRm3c:lWDl#L6Si^k^4Dh#_C8sg<V,1fgak>hPs8U-^_pH`S
-e^*"!d+d4+gY:Q:c-XSWd)XDX`QcfJc-aDQdDF/U_TgKGc-XGSd)XDXaj&2Sc-XMUd)XDX`QcfJ
-c-aDQdDF/U_p-QIc-XMTcc42TaNVuOc-XSWd)jPZaj&2Qc-XGSdDO5V_TpNFcHj8NcbIcO^Wt0?
-cHj>Pcb[oQ_9UBCd*]bXdDO>Y_pHfKd*T_Xd)=;X`6clLdF6(]eA]ea`mE5Td+$(^eAfkaaO&GV
-d*p(_eAfkaaO&GVd*p(_e&]nbaO&GVd*fn[d_sM\`R*&Od*fn[d_sM\`6crNdF6(^e&B_``R3/R
-d*fkZd_sM\`6crNdFH:be]6(eajJYZdF?:ce]6%caO&GVdF?:ce]6(eajJYZdF?:ce]6(eajJYZ
-d+$%]eAKY_`R*,Pd+$%]eAKY_`R*,PdFH7ae\okc`mN>TdFH7`eAKY_`R*,PdalIef#?(ga3rPX
-dalIef#?%e`mN>TeC_mmfZ2Loajet`eC_mmfZ2Loajet`c-aDQdD4#S_TgKDc-aDQdD4#S_TgKD
-c-aDQdD4#S_TgKDc-aDQdD4#S_TgKDc-a>Od_<uS^<P*?c-j>Nd_<uS^<P*?c-j>Nd_<uS^<P*?
-c-j>Nd_<uS^<P*?cI0PSd_X5W_9UKFcI0PSd_X5W_9UKFcdTbWe&'G[_U$]JcdTbWe&'G[_U$]J
-c-a>Od_<uS^<P*?c-j>Nd_<uS^<P*?d+,tZe\TV__9g`Kd+,tZe\TS]^sCNGcd]bVeA0D[^s:ED
-cI9PRe%a2W^Wt<Ccd]bVeA0D[^s:EDcI9PRe%a2W^Wt<CdFQ1^f##ea_9g`Kd+,tZe\TV__9g`K
-d+,tZe\TV__9g`Kd+,tZe\TV__9g]LcdBYVdDO;X`6ZiKcdB\WdDO;X`6ZiKd*fn[d_sM\`R*&O
-d*fn[d_sM\`R*&OcdKYTd_X5W_9UKFcI0PSd_X5W_9UKFdalCcf#?(g`R<>VdalCcf#?(g`R<>X
-e'u[leBcUmdF6Uke'l^neBcUmdF6UkdaHLje'?Cid*gCgdaHLje'?Cid*gCgbg"5PcH",QaNMlL
-bK\,OcH")Oa3)ZHbK\,OcH",QaNMlLbK\,OcH",QaNMiLc-OPWccXMYbg"JVc-OVYccXMYbg"JV
-c-OVYccXMYbfnASbg+DUcH4;UbKS8Rc-OPWd)jPYb0A;Tc-OPWd)jPYb0A;TcHsb[dE9b]bKeMX
-cHsb[dE9b]bKeMXbL+;PdDO/T_opHFbL+5NdDO/T_opHFbL+5NdDO/T_opHFbL+5NdDO/T_p-QI
-cHjVYcH4DY`QliIcd9DOdD!oR^s:<DcHjPVccOJYb0J>TcHsPUd)+)U]["p=d*ft`d`p+`ajSVa
-c-b$gKT at fQ<DmUi88FDTD4E\*UH!1g3,bWSDkfF4T0."`4)UfTDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)iLl3cCiUE1T.0T0-qi
-6><MmB;\U=Q++]]o_S:.d)O_fbLb%ce'6.bcbm`A[a`aEeC)=ce%sP_^XU`HeC;.\e%X>\^X^fO
-e^MRhd`L%fajnh]e^MRhe&Kqf_U[/Oe^VCae%sP^_pm,ReC)@cd)XV^a48V[e^DRie&U"f`mrPV
-e^VIdeA0Va^t$rOe^VIdeABbc_U[/Qe^VIde&9ec`7<>Te^MIee&9ec`7<>Ve^MOge&Kqe`6loH
-dEfVUcbe)U_U6]IdEf_Xcbn/V_pZoMda5q\d)=AZ`7!#Nda5q\d)=AZ`6urJda#_ZcGJ#T_UQlJ
-da#_ZcG7lS^t-lLeBu.ad)+;[_UZuKe'Pq]cb\)W_:-fMe'Z.`dDaP\`7!#Nda5q[cbn/V_pd#P
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`7*,Pe'Z%]dDFA[_UHoLe'Z%]dDFA[_UR#OeC)7ad_jP]_UHoL
-e'Z%]dDF>Y_9^B?ccs2Mc+_NK^<Xs9cHNuIbe;<G^!Y0AdEfVTcG.`O^X19 at d*BDPc+_NK^=C]N
-e^MIee&9ec`7<>Te^MIee&9ec`7<>Te^MIee&9ec`7<>Te^MIee&9ec`7<>Te^VIdeABbc_U[/Q
-e^VIdeABbc_Ud8Tf%%[he\ftg_q*AUf%%[he\ftf`R`PXf$q[ieAp.i`R`PZf$q[ieAp.i`RiY]
-f@@mme]?@m`n/b^f@@mme]?@m`n&YYf%%[ge&9ed_U[,Re^VIcd_jS`_:-fKe'c%\dDFA\^s^TG
-da>hXd)"/X^XCKFda>hXd)"/X^X:BCdEoVTcbRrT^=1KHe'c%\dDFA\^s^TGda>hXd)"/X^XU]L
-eC27`d_jS`_:-fKe'c%\dDFA\^spfMeC27`d_jS`_:-fKe'c%\dDFA[_UHiLe'Gt]cc4G[`7*&P
-e'Gt]cc4G[`7*&Pe'Gt]cc4G[`7*&Pe'Gt]cc4G[`7*&Mda5n[d)4;Y_pZoLda5n[d)4;Y_p?TC
-ccs8Oc+qZM^sC9 at ccs8Oc+qZM_9pKHdEKVXbfJ2U`mN#OdEKVXbfJ2U`mDoLd*'DTbK%uQ`R)fK
-d*'DTbK%uQ`R`G[e^DRid`^.faOJV[eBu at edE9qba48V]e^DRid`^1hajnh_e^DRid`^1hbLb7g
-f at 8'seBcarc.:@hf$hjoe'?Onbh(@jf$hjoe'?Onbgt7ge^DXkd`p=jbLY.df$hdme'-Clb1>%c
-f$hdme'-Clb0nVWda,q]ccFP\`mW2Sda,q]ccFP\`mW5Pda5n[d)4;Y_pZoLda5n[d)4;Y_pZoL
-da5n[d)4;Y_pZoLda5n[d)4;Y`7</Se]u7bcc";Z_:-cEda>bVdD+,V_:$ZLda-"_ccX\^aO8GR
-da5hYdCdoT][G*BeBl1^c,A,Zbg=_bI"RD55Z:QrM+DEE6#E,RDkT./V)WCi3cCcTDkB.0T0$qc
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]C3V`Jak3cLZPDkB40W^:F&8nFr"AXCg#mJ?kYgtL'&c+hcO`7N;RgXa0ke at X8W_:HlL
-f$;+_cb7oU][kH at f$D"[cbJ&U`7E2Sf$):fbf\M\b1=hYf$24ccGS8[_Ud#Kf$;1ac,A/V`RW2Q
-eB5k^b/i/Xb1=eZf$2:ec,S>Z`7E5Of$;+^cb\)V`7!#Nda5q\d)=AZ`7!#Nda,q]cc4>V`6ccI
-d*9MUc, at uR`mDuMd*9SWc,SA^b1G"]f?h[ld)stdbh(1bf?_^ncct(fc.C:df?_^ncct(fc.C:d
-f?_[ncHOtebh::cgWdmocH=ndb1Y(_gWdmocH=tib1k:ch9a<uccOtgak=t\gWmmncH+Y`bh(1b
-f$;IicHFb_b14bZe]l7dbfSD[b14bZe]l7ec-"S]b14bZe]l7ec-"V_bLXt^f$;IicHFeabLXt^
-f$;IicHFhcbh(1bf?_[lcHFeabLOk[e]l7ec-"eid+d$rgXFO'da-Xqce6^kg!S*udE^Ioce?gn
-g!S*udE^Ckc.LCff[.mpccjqab14bZe]l7ec-"S]b14bZe]l7ec-"S]b14bZe]l7ec-"S]b14bZ
-e]l7ecH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+JXaOA>R
-e'#k^bK//Uaj\GSe'#k^bK/2Wb1+YWeBH(bbfSAYb1+YWeBH(bbfSAYaj\JRe'#h]bf8)Ra3r/M
-dE0DUb/Du\cIgOff[.mqdEC.fbh(4af$;IiccOhdc.LFef[.mpd)stdbgt+^f$;IiccOnhce6aj
-g!S*ud`g at jc.LFef?_[md)t"fc.C=bf?_[md)sqbbLY"]e]l7ecH+Ybc.LFef[.mpd)stdbgt+^
-f$;IicHFhacIg at dfZ_^pbg+kbd+HRffZ_^pbg+kbd+HRffZ_^pbg+kbd+HRffZ_^oc-FqccI^=b
-f?MOkc-4eabh(+`f?MOkc-4kecIpOhg!@sscd(4icIpOhg!@sscd(7jbM(:ag<[srccOnebM(:a
-g<[srccOnebM(:ag<[srccOnebM(:ag<[sqd)jnba4JVUf?VFfc,A2X`mr;Ne]c"_ber#V`n&DQ
-f$24cc,A2X`n&DQf$24cc,S>Z`n&DSe]c(abf/)T`mi2MeB>k\b/;cRa48DQe]c(`bJ_oR`mi2M
-e&oYYb/;`P`72uIeB>e[bJMcP`72uIeB>e[bJMoXaOnhYf[%Xkcc4V`aOnhYf[%XkccFhdakG(a
-g<[srccb%gbM(:cg<[srccb%gbM(:cg<[srccb%gbM(:cg<[srccb%fcJ$Uhg<[sqd)Xhe`n8_X
-f[@djd`L(fcIU at hf$Mjrd*UFmbLk4_f[@Xhe%jM[_:R)PeBYq]dE'_^c@:G&1-\T5C5,;qO[<oR
-4DpiRDl#F3V)iOi4)^`QDkB+/UH<@i4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlUDl#L5UH3 at d4)UfWCoTg9X@['$;.c$<g["1pm+^4<
-d`]8UdDjhc_q<GOf[IOedDjkda4\k[g!Rakd_a\c^tI/Qg!RglccFbabh14cfZqaocHY"ebh17a
-f[%XldDjke`nA_Zf[%RiccF_`ak+e\f$):hcHOqdbh17af[%Xkcc4V``n8YWf?qRfdE'hbaOJV[
-eBu at edE9tdaOJV[eBuFgdE9tdb1+h]eBuFgdEL+fbgb%ae^2Olcck"ebh(1bf?_^ncct(fc.C7e
-f?V^nc-FnbcIU7cf$2Lkc-FnbcIU:bf?MOlbfn_`bhC:afZhUnbfeY`bM(1`fZhUoc-4kdb1k1b
-fZhOlbfeV^aP"bXf#u+ecct+hcIgLhf?_^ncct%dbgt(`f$;LjcHOkbbgt(`f$;LjcHOkbbgt(`
-f$;Lkcct(fc.C7ef?_^ncHk+gc.C7ef?_^ocd::ic.C7ef?_^mc-FkabLOh]e]l:gc-Fncbgjq^
-e]l:ebKSJ[b1"MVe'#kbcHk+gc.C7ef$;Ljc-FkabLOh]eBH(ecct(fc.C:df?_^ncct(fc.C:d
-f?_^mcHOkbbgt(`f$;LjcHOkbbgt(`f$;LlcHOqdbh14bfZq^ncHOqdbh14bfZq^mc-+_`bLb"^
-f?MLjc-+_`bLb"^f?MOld*C:id+H[kf[%pscd:=jd+H[kf[%pscd:=jd+H[kf[%pscd:=jd+H[k
-f[%psd*C:jcI^Cef?_^mcHOkbbgjt]e]l:gcHOkbbgt(`e]l:fc-+V\b1+YXeBH(ecct%dbgt(`
-e]l:fc-+V\b1+YXeBH(fd*C:jcI^Cef?_^mcHOkbbgjt]e]l:id*C:jcI^Cef?_^mcHOkbbgjt]
-e]l:jdEgLnce-Uif[.pqcct(fc.:1af?MOlc-b4hdFldlg!.ptc-b4hdFldlg!.psbg>"dd+HRh
-fZ_^pbg>"dd+HRhfZ_^pcHk.gce-OhfZqgqcHk.gce-OhfZqgobg"__c.:+`f$)Cibg"__c.:+`
-f$)=gbK&2W`R`5Of#u%`bJi&U`R`5Of#u%`bJi&U`R`5Of#u%`bJi&U`R`5Of#u%cd)jtfa4\h]
-f[%RhcH"P^`RiDUf$2.bcH"P^`RiDUf?V at ecH"P^`RiDUf?VFjdE:.hak>%_f[%XkccF_`a4JVW
-f?VFjdE:.hak>%_f[%XkccF_`a4JVWf?VFgcH"P^`RiDUf?V at ecH"P^`RiDUf?V at dc,S>Z`7E2Q
-f$2.ac,S>Z`7E2Qf?D7ec,n\`bM(1`g<@aobfe_abM(1`g<@aobfe_abM(1`g<@aobfe_abM(1`
-g<@ambfn_`bh11`fZhIgcGeA\`R`AUf$DIhcHOkacIU7ef$2LkcHFeba4JYUf$M:dd)4Pc`R`;P
-f$V[gd*@&kLbV(h;/(_TCQUo"RQPJ_3cCiSDl5X7V)rUh4DpiSDPK:2V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfSDkf at 3V)iLl
-4D_#`CSaR9S53jX`73lArr:Ktb1"_Rf$;1bcc"D\`RWAUf[S*e`kBdE`6638h:^*#be`#abLtFi
-e'?%`cH+J[b1"YYe'?+bcH+J[aOAJTe'Gt]cc";Y`7*&Ne'Gt]cc4G[`m`8Re'H%_cc4G[`m`8P
-e'Gt]cc";Y`7*&Nda5q\d)=AY`mW5Pda,q]d)=AY`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Q
-e^2Ihd)s\W`7rkkf[J0mb/ViQaOAGWf[J0lai2WMa4o1nd`onif[S$]^t@,^g!n<rcH+_gc.^^o
-g!\*jb/D`O`S/kgf$DIfd)X_`aje\Xf$DIfd)X_`a4/JVeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc=fccahabgat^eBc at gccahabgat^cH4)Ye'Hk&e^i-m
-d*'Mcf@/9sc-OPPe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZ
-e'?%`cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re]u7dcH+P]aOSSW
-e]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe'?%`cH+J[aOAGUe'?%`cH+J[aOAGU
-f$V[eb/E/ie&oYEe^2Ime^)jqbh1Che'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGU
-e'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGU
-e'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGU
-e'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGU
-e'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUe'?%`cH+J[aOAGUf$V[^_nG3kgX+-_
-i7lf)`P9sMb0eGQf$DIhcc=V_ak"eYf$DIhcc=V_ak"eYf$DIhcc=V_ak"eYf$DIhcc=V_ak"e[
-f$DIhccObaak"e[f$DIhccObaak"e[f$DIhccObaak"e[f$DIhccObaak"e[f$DIhcc=V_ak"eY
-f$DIhcc=V_ak"eYf$DIhcc=V_ak"eYf$DIhcc=V_ak"e[f$DIhccObaak"e[f$DIhccObaak"e[
-f$DIhccObaak"e[f$DIhccObaak"e[f$;IicHFebak"e[f$DCdd)XY^ajeYYeBc=fccahabLFk]
-eBc7dccObaa4/JVe]u+ad`9k^a48S_cd:*eKT.ZO;c. at f7Vn8QDO`e+V)WCk3c:lXDPoU7UHWOi
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbh(@j
-dE]edf?hpja4f.lb/_<Bb/;<>^=:QQeBuFgdE9tdb1+h]eBuFgdE9tdaOJVYeC)@dd`0eb`miGV
-eC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGV
-eC)@dd`0eb`miGVeC)@dd`0eb`nAqhdE]eR`P0X@`6llNd*9S]e'-LrcdgIee^DXpf?hXZ^X(-C
-e'Q4fe'-4ba4&DUbK.HId)XMX`5op1n*K)T`4O=<_UHlPe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DYe'Q:ed*'nbbL=h]
-e'Q:ed*'nbbM:e#c-"#Ja26?Rbf7Q7hqZi0bfASpf$r*keBuLidEL+fbgb%aeBuLidEL+fbgb%a
-eBuLidEL+fbgb%aeBuLidEL+fb1+h[eC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGV
-eC)@dd`0eb`n/SYf?hUjd)ahcaOee[f?hUjd)ahcaOee[f?hUjd)ahcaOee[f?hUjd)abbaOS\Z
-eBu at edE'hbaOJVYeBu at edE'hbaNhuGeBu@`beqiR`SfS%a2GUAeB>qP][Y?MeBu at edE'hbaOJVY
-eBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVY
-eBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVY
-eBu at edE'hbaOJYXeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGV
-eC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miDYeBuFgdE9tdb1+h]
-eBuFgdE9tdb/V?3kiL[4\$4K6c-ahWe^DXrg!\s?g=4HjeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\SUf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*0eY`mDuMg"+KtccFkndFZmmhV6Q6f?i'rbLP%ae^DXkd`^1hbLP%a
-e^DXkd`L%fajnk\e^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZ
-e^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&Th[`m;lJgXsp:jPBY*n,E4V
-s8DZkr:Ts^nc/Xas8Vlos7lTjo_S=Os8Mciq!nCapAb-bs8Vfjq=+F_o`+sbs8M]krq6<kpAb0d
-s8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0d
-s8Vfms7ZKmqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8(-gak"qdeBuM%in__r_:-cS^:Ui'dEL.hc.17e
-e^D^md`p=jc.17ee^D^md`p=jc.17ee^D^md`p=jc.17ee^D^md`^1hajnk\e^MRhe&U"fa48YZ
-e^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U+gak5"_f[7gndE1%gak5"_f[7gndE1%gak5"_
-f[7gndE1%gak5"_f[7gld`L(gajnh]e^DRid`L%fajnh]e^DRid`LP-f@/*ee'Q.W`kB^B_pm)T
-eBu at pgsag%ajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%ga48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZ
-e^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZe^MRhe&U"fa48YZ
-e^MRhe&U"ebLP%ae^DXkd`^1hbLP%ae^DXkd`]_N^>7Mlh:g>u`4bU)jN5EVa2G[/^q%t at ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY^`n&S[
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oke'?LlbL+VU`l#I1`P0R<_U-QI
-bfR`LcH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cGe2W_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJ
-dEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJ
-dE]_[d)j_^aQ;F9gtC-9i7Zo=dacdhdE]e]d)jb`agea]g"+L!dE:D'f%8ErdE]e^dE(%ncH4)>
-e'Q.`cc3l<\(K6Te^DRecGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]e[cH4JZajJDUdE]k]cH4JZajJDUdE]iu4?)'KeC2df
-`50+ at f[J[1e`l5Tai;0EcH4JZajJDUdE]k]cH4JZajJDUdE]k]cH4JZajJDUdE]k]cH4JZajJDU
-dE]e[cGe2W_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_YcGe;X`RN/O
-eBPt^c,J2W`RN/OeBPt^c,J2W`RN/OeBPt^c,J2W`RN/Oda#hZcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_Ra1fC([H6E$gtC&taM7!%h8@%;ccj;ScGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2W_pQfJ
-dEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJ
-dEf_Xcbn/V_pQfJdEf_Xcbn/V_pQfJdE]_YcH">Xa3i2QdE]e[cH">Xa3i2QdE]efg!\*d_UQuU
-aMkm;ahlrje^;[_kiL[NccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7ccc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-c-"#Obf.rR`nT.nl/pn%qXaaeq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vfms7ZKmpAb0d
-s8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0d
-s8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0dqY0LNnEKuQptOHKf$hjfb/;QL`RN;XeBuFog!\Btb14q`
-aMkm9a2$$F`RN;XdE]efg![aP\DGuibK.NYhUg6'aje_\f[\:"e]ugtcIg[mf[\:"e]ugtcIg[m
-f[\:"e]ugtcIg[mf[\:"e]ugtcIg[mf[\:"e]ugtcIg[mf[\:"e]ugtcIg[mf[\@$e^2t!d+Hmq
-f[\@$e^2t!d+HmqNJ`E:,9HmbqZ$Tljl5+rrqZ'Nkl:\Zs8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tjs8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0d
-s8Vfms7ZKmpAb0ds8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?g
-s8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8DZks7lWoq"+">bK.NA`kU]th9![Os8Vlos7lWoq#CBh
-s8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBh
-s8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBh
-s8Vlos7lWoq#CBfs8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0d
-s8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vlos7lWoq#CBh
-s8Vlos7lWoq#CBhs8Mc at ccFYbbN.X9dE]eH]<pDJe&B29eBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgt7gf$hjld)k;)f\P91hV6Q+bf.iL_pZlPda-"_ccFP\aO8DU
-da-"_ccFP\aO8DSda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Q
-da,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`nAqhg"+LJqX`(Y`m`;V
-ccjAXdE:;!e&fVEbK.N_jPA,)`80.rgtC-/f$DXb`6QQEcHF/nlJp+1_U-QIe^DX`a2#m>_9^?E
-ccjASbf.oP`QucIccjASbf.oP`QucIccjASbf.oP`QucIccjASbf.oP`QucIccjASbf.oP`QucI
-ccjASbf.oP`QucKccjGUbfA&Ra3VuMccjGUbfA&Ra+&J\8k25)gXaj#bMM")e'Q:je^2^hajSMX
-da-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^aO8DUda,q]cc4DZ`mW2Q
-da,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`m`5Se'?%`cH+J[aOAGUe'?%`cH+J[aOAGU
-e'?%`cH+J[aOAGUe'?%`cH+J[aO8DUda-"_ccFP\aO8DUda-"_ccFP\aP5 at pb/_<=`P10^dlTND
-kiL[?_RojJpsRL0da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DSda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Q
-da,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Q
-da,q]cc4DZ`mW2Sda-"_ccFP\aO8DUda-"_ccFP\aOeqd91V at pbf.ZB^>@Vol/pmJb/;o`cd^:_
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\SU
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*0h[a4&DWf$hk3m,d3_f at nj'
-bK.NMd`^+daj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XMX`miDYs8VlEd`^G!daQRbcHF/ObJ`DtfYbM8dE]e\ccF5J^YIMj]t1Q0hq6lCf$_mc
-_7mD+cH#&+gW7 at JhqZc6eBQRnbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-ClcIUIif$hpqe'?OncIUIif$hpqe'<]#IR?@^
-_n`n*`PC3Zd`KMFccjG\e'?FhbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]
-e'Q:ed)jb`aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY^ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)j\\a55S#b/_<GccCZdG=4_Xs8Vl5_Rn:Daj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jJP_1I/]
-6pWlhg![gT]"l"fi8)u1bf/)XajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccOY^`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2Ohd*(%jc.U[oo^V5%g!\9na2c-3hV6Q/d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.de'-7daT)54b/_<Ke'- at jbLFq^e^DXhccF\dbhC[q
-bfR^,"98N(!!NE(eBuFke]u1P]FYMVf$hjfb/;WPa5>\&cHF/SccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccX\^b0nVY
-da-(accX\^b0nVYda-'_G]QMK6dsE*da-(_c,ePfd*^.\f at 8-qd*'nbbL=h]e'Q:ed*'nbbL=h]
-e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4if$D:N]&)2kf$hiuKRG^5/-#YEf at 8'od)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4ogspXlDF[)Xe'Q4ogst$+c-+2Ef at 8'pccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7ccc4PaajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`e'Q:dccFV`b5_M:e'Q4bccFV`b1"_ZdE]e_d`^+dak>7k
-e'Q4cd)j2@\_Pldd*9S_e]u=X^t$lVg"+Kud)j_^aOeqdgXsp#c,SSne&K;<inrD<dE:+lcHXML
-f$hjpeBQIhak5.hb/_<Dbf/Z%g<e*adE]ecf$Dprbgb%_eBuFY_n=dXdaHI_e'Q4cd)l=fps[U3
-eBuFdcH"Pdc-ahWg=O^!cH"J`b6.hGf$hjtf[8-na9)DBcHF5[e^+m<$-1!!f[\?obJqoRaO/;T
-g=Octb/MlXbh1Imc-"#H`PCEff[%d^a2G^p!!(^'dEBVKe'Q:pgXaNf_U?cQg"+Qh_7\XZf%es.
-da-(Ya26<PbLFq`!rr>Zh:U3'bJqH6h:gE/dEKeT_q`qpK7J;64ZLa1`n/_df$hppd`p=jc.17e
-g=Ocn`4t6dfZ_IUbK.T`j5.Vd\_>Z`eBuLtgt0N^^"V)df$hpX]!^b`i5s!Td*9S^eBQOlbK at l@
-f at 8'mcH"5R`7ihie^DXbahl`^ce6mq`50%Ch:BKZ\_Yugf at 8-pccWu6[bolle'Q:dccXnjd+$Ie
-e^D^ba26EVcJI=,cHF5WdEL1jcHj_ThqZi-ai)KJ`oH"3a2Ga=bfAf'gs!mYeBuLhd*'k`b14qb
-KRnM;5<AiDq9mU3dE]kad`pIrdG<O,]t1W%d`pV%e^)I[da-(ge^3+)eBZ7Wg"+QrbJqlPa4/M\
-c-"#Ve'?OncIL at fda-(lg==?d_Ud2]da-(ge^2IZ_V<_le'Q:pgXa?\^"qDmf$hpea26N\dEg%W
-e'Q:bc,er'gWR[Ue'Q:fdELG#e\f27e'Q:bc,e5Ta4f.leBuFke]uLb`QlZFg"+Kk`kU$Nb1kRr
-eBuF]a2$Tfe^Ddbc-!rNc,SSne&fVEccjA\e]udrc.U[oai;*CcH"Pdc-t%]bfR`Uf?hgd`6HHB
-e^DY&inMi)`mN)PaMkmGe^!@=h86q:hqZc3dE9>@\E2`)e^DWiHZV\C44;HreBuFeccFYbbL=h[
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-e'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgXq^da-"adE;Lhps[U3
-da-"adE9qbaihcAi8)u-aM at rY!"&r2!rr<:'+E74`mrM\e^DXsg=+6d_8sU0hV6Q*bJ_cP`l>p/
-e^DXZ_7JOZe\Jl,b/_<Pf[8=#c-ahWaMkm3_7J:LcK4'?f$hjV]!L8JeC)[a^V$u!b/;uddDNc1
-(DI>$a2$6RbL=h[e'Q5:s7k'iaje_\dE]eaeBQCda3VuKd*9S]e'%mo!7T<:]t1Ppb/<#fdcooQ
-\$W=@!!(s5fZ(hCinrJ9bfA2ZbL"MTi8*&3bfA8^c/[a:dE]kT`PC$Pc0"'C!rr>Tf@%pd`R2uQ
-g=Oco`PCBdf at ea&e^D^[^q7Y*^ZFJ2eBuLrg==Nn`s)VGc-"#RccYA/h:0irbK.TNdEKq\a*MrM
-:J=:7g==a%c,%-)bK.T`j5.kr^]OQ:)&<ed!!!*$!8ZAZa2GaQi7lJt`732Ye^D^qf$W$rc-OVS
-e'Q:X_nP<phpg&rg"+Kj`P1'Xd*BhQg"+KscH"5R`8'%of at 8'lc,S8\b2M4/da-"]c,S&P`5op5
-eBuM%inX\:!7oWE!rr>EaMZ?Ja3`)PgtC3'bf9ec!8?&Q!rr>QeB\6u!5u^dgtC3!`kg3Rc-OVS
-gXsum^q8 at Re'udhe'Q:dccXedc%LXq69dO2rqY!gb0%cAi8*&&^Ui=Xf at ea&!rr>_in_Jd]$JU@
-d*9W6!!(Nrbgb%ae'Q:mf[JF#cJ at 4)gXsug]!]l.a4A_b!rr>Wg==QpaOo%if at 8.)h:TQX\_5Q]
-d*9Y`eB\3s!8#`Hjl5+3]suS>bi.F3e^D^V]=-YRfZ;%Ij5A\,]XQeRf@/*ihqZi,aMZ->_9^?E
-a2GY2)%t<@`l,^)iSN2,`4a[Jap%qJjl5%,\?XiBdb!!ncHF/E_7JX`f\4s(cHF/Qc,Rc@]\(c[
-da-"ce'-1``WlVHc-!rYf[8I+dDs2=_n`h>gXOp-cfX9Ce'Q4I[]e]Jf[nWtd*9S_e]u1P][bHR
-IX?0*69EWAaOJV[da-"bd`^+dajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aj\SUf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*0tcbL4_XeBuG=s7k'iajSMVeBuFfd)jnhc-+2E$jd!kg=+?j`666<c-!p.!s%$*cbR6&
-f$hjic,S/Va3`)Ni8)u/b/<8tg!\3ff at 8'jbJ`Z-hoE[Kf$hjgbJ`8leDT06ccjAUcH!W0ZfpN-
-_7mD7g=+X%bgb%_h:g?-dE:(jbl[qGeBuFmf?i!naj\VYs8VlCd)jebb0eMTf at 8'mcH"\ldFm*s
-e^DVC!!(U!bjF]Ue'Q4W`4a+*][G*K#mCCXc,pS+#m^Y7d*0VXbK.Q7]*/38!rr<'!!(Ekb1+e_
-!rr<'!!(BiaTDMC"T\VZg"+Hk`rc;A$j["=!!('W^t7&^&If)qcHF)=]@G<S"T\VE`5)rm#6Or+
-inrJ0_nO10^ZOS5eBuLfcH1]hHV-dpa2GaCd`pV%e`#B<]t1Tb&. at +>cbR6(d*9YkhqA26!7oWE
-cHF5\f$V:H\DGukbK.TFai*5tgY:B0dE]kN^Uh\4_op-;cHF/`gssNd^Y7;de'Q4bccF#>\_#?U
-da-"U`P0I6^Ymr!`PT7Fh:;]2!8Q>\f%&0^]t*4ahZ3]WiS`M;cH=S_c-4AOf%&1!e^;psciF+H
-e'cOke'I19hZEiYhV-T,b/`/adEg"WhqQf'_S=UIc-t"_da$%ddE[DqI6p+Zs8DfBcHFnkd`feO
-ai2-Ke'QRibQS"I!rr>\hV6Q,c.LOn%grZeaMm/qgWIORccaDO`PU$Ib0%`Ana5TJ"Tl`^^]a`=
-eBlIbai;97^!b3Le^;\'i8)Ss`6c`Md*0T;"9HBR]?ndDiniG7ai;cSbLY+fe'H7ie'Qn&e]GeI
-iSE53aMl?C`6?<Ah:^B5f@&@'ceR4%!rr>Da2$E\d+?dleBuFY_n66Y!5u^biSN22b/;WPa5Z"/
-inrD*^UVS4`8]\,\[J^*jkf"Sf[.m_bfR`Kc,SMjdEg%Ub/_<Whq6Q1c-X_ThV6Ps^UUkaYjh&B
-ai;*;`kTmF`n&V_j5AV>d)jhdbC4e[77')accFV`b0nVWe^DXid)je`ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY^`n&S[d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Ohd*'k`aOJV[s8VlCd)j_^aOJV[e'Q4acH"J`b6.hG
-e'Q4qhUg?-bgXq\eBuFW_7K1)kK(WVf$hk!g=+KraOJV[cHF/Pbf.Q<]@,$Hda-"P^q&:Te(3!l
-f[\9nbf.]D^X:?If[\9qccFS^aj82Mf$hjfb/<,le\Ac)f[\9td`W=:$J3ePb/_<Hd)jb`aoDD9
-e'Q4ddE9k^a4JhcdE]eS`kU3Xcd^@b`l#G#%0cn7!#?4Vda-"ohV6o at f)l!Q!rr>OdE])%X;;N]
-c,ms-!!)*<h8dFKkMtJ'!!(Nqbm"4Le'H7dcH@%=&^ekGa2>\'$OG)%aO/8Th:^?m%h-Ip^B4H9
-gt:0(bfSi"g&h<TiniDl!!(Nrbh_"'c-"#ik2F\3aM>L!f[\?"IX+X[7EWZff[\@#eBck#d`]_L
-!rr>Pe'?\!dbEF'b/_BDb/M?:^#.Vs`l#ORjPS;-a4]%keBuL`aMZENajnhahV6W*ahmB-iQTE\
-d*9Sgh:BHX\Cf?Wf$hjsf?i=+dbEF%g"+Ki`4ajTce$[keBuJG#6V?>YL1_ at ki_!G`PD]\!7fTG
-d*Knbe'HIic.:Fm]",6!eBe[7$-g]8c-48\e'J0s!6)dgcH=2Ze'QOgbK\/Kg=Fa&d*:%cbgOe[
-e^;ZqJ:0aJ49,9Uda$%]b/`&[cJdU5`PK:Bf$b0=#m1/-ccaDRaMl]Wc3jj[da$%^bK.oK`Rr\f
-h:^B.ccjAE^;%:i%1*6gd*:1kcijFMf[S=*g=Op(cN=.IbfIcXf at 8X0edMffda$&#jl4\4b1"\\
-_S3YIk2Xk6b0.iDd*0Vcf$hUS^<b!DiSE5=da-7_aP#+lda$%accX>J^=1HN!rr>Ygss3R[b96X
-%LWEbbJ`/fdF$7[bfR`@_RnCJbg+DMhqZc*aMHBRb2(e#]=>,d`4a=6^t7)\h:g?#a2$BZccF)>
-f at 8'ib/;i\c-=DKjl5%Qh:BN\]&2;neBuFdcH";V`m2cGc-!rSd`[)dF at AMXda-"adE9n`aOS_^
-e'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7ccc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`e'Q:dccFV`b5_M:
-e'Q4bccFV`b1"_ZbfR`ZgslK,!62phe'Q4Za2$0NakG at nhqZi+a263Ja9)DB!rr<'!!(U!cIg[o
-!rr>Od`hmq!#?4XbfRfSe'?Llbl[qG!rr<;'G&dDcIpdr"9AK)!!(g-eAoMB!rr</#Qk//!8Q8W
-cHF32!W^j%ccjMLe'Q4cd)l=fps[U3eBuFdcH"Pdc-ahWj5AV<cH"Yjd+?dlda-"`d)jYZ`WH2@
-bfIcB_7g0X!S>fIccaD_e^=m5#2%GQ!rr>LcHFGQ`QlWH!rr>=^Ut3j%+<GEeBlGH"TlNR]%#*O
-!rr>Wg"+d(d)Nr;_7dG:g=HN1!6E*pg""Nqai4\n"N/!e"Te\Wf$V[^_q!2[]t1W&e'?Rpce@"!
-IscH5841eMak>7maMks:`kgWjfb>#,da-(^bf@`@^=q2ee^D_"gt1*)bm=RT!rr<'!!(!T^#e80
-!rr<'!!!-&!7oWE#R(21!!(p3f at JEr"9AK)!!!9.!!<3$f[\?c^UhY2_ufu>*?#Xp!!(KpbJM$*
-#R:GF&e<./`rQ/?g=b!W!!!3,!<E0#!<<,TgXjKc_A<t#cd'Z9!s$Zmap&"M`koJ%$jd=J"lnLq
-!rr>Pda-4]`ruJDeBlIhccjh_bLP"cKReJ;5!/fCqU3[4bfIcNc-"GYb1P4ke^;YE!!(Ekaoh\E
-hV-T1cccIk!8?#Qda$%R^Ut3j$j-J0"T\Vdj5BLrlN7+e$O6gfe^=O"!8,fKccaDXcH?_+#g:9,
-dEThV`kqlY!8,fKcH=2H_7g!O!"]PF!rr>D`l$]gfEh]_"98GOd*:7odK9IL!rr</#6_oX]A2&h
-bfRfbin`;=d0BdSgtC3'bfAAdciX7Jd*9Ydf[J3la;Ga*!rr<*!s$cqb/1p)"TeZ6$O4Ma]Aqi(
-'bUrX!!(g-eAAu3%LWKaaMZunf`M3S$O?h:!!(X#cc!Z4!rr>YgslK,!"9/8d*9S_e]ugtcIC7a
-e^DWiHZV\C44;HreBuFeccFYbbL=h[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYe'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgXq^da-"adE;Lhps[U3da-"adE9qbalVO:['?VE&.-t<c.^dr"9AK/"on`*!6E-p
-`PT;%&.?n2aihcCi8*#r$jXMY[K?L0!rr>Pe'>tN^'+Q<g"+OQ!!)Z]m+0Y2_S<Ya!!(Qtbl[qG
-k2Y=Ne^2ptcemO0bK.TTf?sa$!7]E?#mLFK_7\OTe'l[ce'Q5:s7k'iaje_\dE]eaeBQCda2#Bs
-gtC,ua2$<Vc-ahWg=O]rb/4Ge!8?#QdETf9!!(Biaj\S[b/V=$!!(-[_AO($^Uq#,da-h*fE_T\
-hV-Q`!!(Ekb0eJV!rr>dk2Y+Dd/s at KdETh_cck8"f@\U#dETf>"9Hfja4&AYccaB3!!(s4f`M3S
-kN(OLd*'PN_<C"=ai;0Mf$V^``.s"q5<LmG`PC-Vd+Hmqda-(accQ=i!8#`Hf[\@"e'?Urd*U%Y
-dE]i?"p)ZY][tZZj5AZ1(D=6cYS at c[da-(dd`hjo!7B*6eBuJB!!(m1ecPmPiSN89ccX>J^]OQ:
-iSN8>eBch!dDs2?`l#M%%1(nJfE)'R]",6"e^4Bt!8cPb!<<,Id*1G*gYguD!<<,MeBe@%!7fTG
-!<<, at a27oX!9E(o!rr>]hqZ2e^&n?8kiC^Ga2A)\!7]B?e'H7dcHFbcc at g^r69[L2rVFsfbLtFo
-bfIcHa2HQWcd0eU#Qt1cgXlT.!7B'6c,ms-!!(QscJ[L2"p+eSd*::qe'6"S!rr>JbfL1r"3/3m
-gXjpa#mSMj_V3Si]t(QR!!)ENk0M5lcH=0I(_t67`8'"qe^;\&hqZf2ceI($!rr>Vf[U'(!6<!m
-h:^?c"Tm<)d)<`5jP\hs!!(?gaO/;TbfRf=]sn4I!7oWEb/_BRf[C?>#L1E1ai;.!!!(a)db**s
-`PT;!$jY>2bl[qGccjGXccQ\("jtW;f at 8+K!!)';gB.EUf at 8+L!<CEg`lQ-7f[\=[%1(eDeH5dO
-!rr>EaMHfjecPmPiSN2)_7J+Bajnh_IX?0*69EWAaOJV[da-"bd`^+dajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\SUf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*0tcbL4_XeBuG=s7k'iajSMVeBuFfd)jAJ^>.Di
-!rr>Re]uC\_TU$:d*9QD&..7LfAGB8!rr<0#m:>1!!<3$!rr>Od`hjo!7K39hV6W*ai">a!8Q8W
-#6Y#/!!!*$!#lag!rr>Pe'8I4#JI^Vc-"#[f[Bp&!!E<&$3pV;"9?<R\cVp4q=a@!`4sdJaj\VY
-s8VlCd)jebb0eMTf at 8'mcH#/1hSm at Dd*9Q=#m/Ao_oTg2j5ASm!!(BiakG=p#Qt1[e'Q.Q^ujY6
-$O6gcda&!q!:B%5cH=2UcH?:i!8cG]%1*6rgXsiqa9)DBccaDL_S6Qf#LL]:ccaDVbfKtf!7/j0
-"T\V\gXt$&bl[qG$O6gZai4D_!5,kLj5A\9ai)6<^Y%)`dE]k`dEI5nHU'_Rf at 8-qd*'h^aj\V[
-hqZfr%gq(De()mkf at 8-`^Ui7Te]c.R!rr>ajPSD3b0J2M!rr>Od`hmq!8?&QccjEB%gpk8c/ms@
-!rr>Fai"Mk!l;U]hqZi6d`i+(!lMgcgXss]"p"f+!"9/:!rr>Ibf:"q"Ob]Bf[nRQ!!'gL]+5AY
-b/qWKcH=5K_[d4aa2Yss!!)$;h#[TWj5Snr!!('W^]OQ:e^;[nda&L7$J*YOc,ms-!!(Nqc-t"_
-da$%ddE[DqI6p+Zs8DfBcHFPWaQ2:8hV-Sp\[LMSgB.EUeBlIid*2q'"NJ<n#mCCbf at 7IC[1j/]
-!rr<'!!!?1!t5G=e'H5?!!(^&dbEC'_7dDj$OG>3cOUBhaMbn"!s%$)dK9ILh:^B"_naF7_oK[1
-%1*4@!!!*$!"K>@\$N:J#mTAEg;_"E!rr<+!rrE'!"&o4!rr>ReBudnbgk.dh:gE4f$Oa,!8?&Q
-!rr>Da26flg"Fs(#mLD4!!!*$!!E<&#R(4Tc,^;""M2(JkiLaMcH-.g!8H/Tf$hpgai"`"#edgW
-&e>>rc,f/3iQo`g!rr>Tf?t6@#Lh&Af$hjhbf'Ya!8#`FdE]eniS)i1bC4e[77')accFV`b0nVW
-e^DXid)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccOY^`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Ohd*'k`aOJV[
-s8VlCd)j_^aOJV[e'Q4cd)jDL^C(;JcHF/We'-ClbhLdt!rr>HbJr&ZbRP!b]XbE3j5.\h]@PHV
-g=OaT!!(d+e'6%SccjE3!!(?h`rlDCe'Q:`bJr)\c-t%_c-"!8$O4r$a4Sqh!rr>KcH4qtf"\l,
-"9AMcjPL%>!5Q:Xg=Od%d)jb`aoDD9e'Q4ddE9k^a4JhcdE]eUaMHche^)IYccj?3!WWZ:!s8N'
-g=O^%d`p=jbln+Jf at 8-rd*9eV_ufu>f at 8.'g=HE,!!<3$"p4kWe'Qe!d/s at KcHF5XdE^M!dfTRM
-gtC3%ai4Jc!!<3$$O?j`cck"jce?t!!rr<(!!(NrbQn=PccjG`f?sp.!62pjf$hq$gXaNf_VEho
-dE]jeJUB^G38<*7c-"#QcH4_hd*p at b!rr>Da263JaO\hcda-(ge^2^haU8 at VbfRfPd*(%jcNF7K
-eBuJM$O4Yi^X16H$3pXXbJqiN`WlVHda-&<!!)*=gq^V5g"+OV"T['"bQ at hFf@8-pccX_`b6%_E
-f$hnF!!(s7gWIXW!<<,Vh:Vf/!8?,Vcd'\WbJsej!T;ki!<<,Ne^4Bt!6N=##6k7Zd*2q'"OG94
-d*0T6!!(6a`Qu`K#Qt1Xd*:%cbgOe[e^;ZqJ:0aJ49,9Uda$%bccjYV`Qu`KhqZi/b/Y#$#Kk'(
-f at 8-ue'J3u!"&o4bfRf[g=HE,!7T9<f at 8-nbfS>\bKnAQ!rr>Pda-ChbL"JT#R(4Oa2A)]!8H,T
-!rr>?_7ga$&B2K"iSE5=da&1%!RAj.da$%fe'J7!!9N1r!rr>D`l$iog]INVf$_mnccjncc/%((
-ai;0Gd*'e\aOS_`ccjE3!!(Kpb7+d^f$hpa_nOs\eH5dOc-"#]g==g)cbR6(j5AYo!!(j/e]c.R
-b/_B^jPL%>!8#`He^D\E!!)*=g]INVdE]k^ccXedbn1Elc-"!-!!(Ela48V]f[\7N!W^]raj%uG
-d*9S\d`[)dF at AMXda-"adE9n`aOS_^e'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7ccc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`ccjG_f$D^f`qK#jeBuFhd`^(baOo%gd*9Sbf[0d$!6<$kgXsp(d`V^m!"0&5
-d*9S`f$=I"!7K37g"+Kud)c at i!8Q8U!rr>Md)jPT_qN_h#R(4bgXH<*!7]E=ccjGYd)ut0#ggi;
-!rr>QeBc7V_#sc=f[\?qc,e>Zao_VDccjEG'G&7&^Xpu]c,dcLbf9\^psI=*bf at QTf?qja_VEbj
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_bLFk[eBc=fccO\_bLFk[eBc=fccO\_bLFk[
-eBc=fccO\_bLFk[eBc=fccO\_bLFk[eBc=fccO\_bLFk[eBc=fccO\_bLFk[eBc=fccO\_bLFk[
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYO,ScU3]#.-`mW2Sf[\9lb/;]TaTDMCh:gE%a26-F`n8hg
-"9AMQd`i.*"3AHsg=OcubJjVa!8Q8W!rr>Fai*&jecPmPbK.TVg!g-*!8#`H!rr>NdEL(dbLtIo
-!rr>\hqA/4!7&d-f$hpgai"So"P2&I#R(4L`PC?becc*Tg"+OQ!!(9d`RiVch:gB]!!(6b`"*7]
-e'Q8?!!(X#cNO at Md*9W9!s%-0eBQ.Td*9W>#QkA;!R8d+aMksUiS;Dh^!FpCKRnM;5<A]:o at DC9
-e^D^pe]u=X_U$HFhqZfc!!)!7g!%RTg"+OQ!!!B4"5)/Ld*9W6!!($V^=q2chqZfc!!(Bja9MhJ
-hV6W'`kU'Pc-X_T"p4kObf/,\c-jqZ"9AMOd)jtldEp.Zf$hnL"9?cla4&DYc-"!;%LL\6bl[qG
-d*9Ybf$OU$!7K39g"+R"d)uLk!8Q8We^D^pe]u=X^sC6DhqZ`a!!)!7f?D at Rd*9S`f$=I"!7K37
-g"+Kud)c at i!8Q8U!rr>Re]ugtc3ORRbK.N<_7C-c"kM/H!rr>Tf?aX$!6E-ng=O^!cGp"e!8H/R
-"p4kObf/,\bL4_X"9AMOd)jtlcd9qVe'Q3aH#cPK6-mcoeBuFjeBQ:^`7ihieBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]e^DXbahlTVbL=h[gtC-!aMHT^d*KqTe'H%bd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgXq^f at 8'qd`_[ipXn$Ae'Q4^bJ_]L`7rql
-ai;*Thq//:!!<3$()%+r_n6'O!8?&O`l#I=dE2Ok!!<3$'G1]!c,S#N_ZKl=h:g?/e',nP^&n?8
-d*9Sgh:;Z.!"0&7!rr>=^q8jni<'&[ai;0Gd*(.pdKg!V$O?h?"TT&A#M7JO!rr>NdEL%bb1kLo
-gXaaOrqP$jb0S5KgXa`m_nFOEaOJPXeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a`qrG6U3Zkhq6/p_Um;^
-g"+L&f$DprbQ at hF"TeZ<&I\pK!6E-pda-(bd)uh("9SW("p4kPc,eG`bmb!`da-(bd)uLk!7T<<
-e^D\E!!([%ciX7J#R(23!WW<&!92ni_n`n7d`i at 6#m1/-$jd%=!!(U!cI'qZ$3pXO_S$Bc"j"Zu
-%137I#m:>1!!<3$e^D^eb/FG_!7K39%139lf$OR"!8H/Te'Q8?!!)-?h9X<c!rr>]i7lT%a3i2S
-e^D^gbfA/Xb(tb%:J=:WqXr7]ahkg&f$hk'i7Zf7cbdH,+W_HEb/;`Vb0A)HgXsmU!!([%cHj_R
-g"+IR!rrE'!!<3$g"+L!dE9n`a9)DBh:g?%ahlfbd/s at KgXsp%ccFknd/s at Kf@8'ib/;o`cdgIg
-ccjE4!<<6'!!E<&!rr>Wg=6K6!SZ/R`l#O?dED[m!!<3$'G1c#c,e/P`PTC"f$hk'i7Zf7cbdH,
-+W_HEb/;`Vb1bIo`l#I=dE2Ok!!<3$'G1]!c,S#N_\s=&^:Ubm`4amVcjL*[#mLCTbJ_iTa9D_H
-ai;*YjP9n<!!<3$&Io&b_Rn4@`rc;AgXsp%ccFknd/s at Kf@8'ib/;o`cedF+K7J554u^j5`mW2S
-g=O]uc,RlF^XCHLda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aP>Ise^DXle'-1``mW2S
-b/_<Hd)jqjcI:+Zf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*0tcbL"MR
-e'Q5:s7k3qc.(.`eBuFfd)jSV`6uuQa2G[Ad`^P'e]Z%MeBuFqgXOTp`nK%kda-"^cH"Mbbgk.b
-c-!rWf$DXb`7WVcg"+L"d`^%`a4Jhc`l#I7bJ_WH`8fe1c-"#I`kg*Lb1P7kf$hpfaMZ':^WFL3
-eBuL_a26EVcIL at fda-(`cH4AR_p?KDq=O+%bJhlQ`nf:qccX2Xd`g4eajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)hB/L,h.FeBuFhd`]kV_U[)X^qI23g!\0h`lc?=b/_BLd`p(\`nT.pb/_BKdEL4lce6ms
-ccjGXccXnjd)El8bfRfYg!o!;g!@m_e^D^kd)u[u!6iR'e'Q:abfA&Ra3`)Pe^D^gbfA,Vaj\V[
-k2Y=@a26BTc-X_VcHF5kjl"5!^r4(%f$hpreBcUjbL"MTe'Q;"in_)NYN+Qqe^D^a`kfm@`6uuS
-h:gE5f@&'laTV_G`l#ODf$W'tcHF;Hh:gE(b/JC>C-F^;s8;WJgXbECg!7dZbfR`LcH"Mbbd4OQ
-h:g?"`kU*Rbg=VSd*9ShhUf]^]$AL;hV6Q$`P0aFa4f.ld*9Sgh:BWb^"Cl\hqZc%_n=^Td*U%W
-cHF/We'-1``nT.ng"+Kob/;BB_Wp=DcHF5RbfA8^c.^dtbK.TEaMZBLaP,7oda-(`cH4YdcIL at f
-c-"#Yf$WO9g!7dZbfR`LcH"Mbbd4OQh:g?"`kTmF`nK%kda-"^cH"Mbbgk.bc-!rWf$D=P]@,$H
-g=O^"ccF,D]\_Dmda-"deBQUpc-=DK_n`hDiS)Z'`m;lJg"+L!dE:1pd*U%WcHF/We'-1``nT.n
-g"+Kob/;KH_gd&V5<LgYg!\!^^X:?Ig=O^)f$Djnb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE95:[G9H`da-"`d)j2@\`Vr-ccjATc,S5Y`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2Ojd`p%Z_p6HDs8;Q:c,S,T`mrM\eBuFsh:C!!a4A_`da-"M]scVFce@!t
-^V$tm_7JR\f&#02d*9SWc,SDdcIL at df[\:#f$D+D[GTcid*9SM_n=LHb21n&g"+KtccXedc.q"%
-aMksHeBct)e[r>thqZi=g!ng1eD/a,ccjGQaMZrlf\G00bfRfVeBZk$dJs+:g!n<td)t%kcHjYO
-e^2IgccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q3gIs=4A2V$7!k2Y7FccFV`b2D+,da-"hf[J6naj\V[
-j5A\Jg==^#bfe)Fg"+QucH4GXaMP^'gXt!!ai)l`dH0BD_S<\"^q7t<aP,7oeBuJB!!(X#ceI+$
-da-(_c,e8VaP5 at reBuL\`4smPcGmc9f[\?nb/MlXbh_"']=>3$f@&sIilfE\g=Od'd`pIrdG3F)
-ai;0XiS;c'a4f.ng=OcubJqiN`llH@#mLD4!!(?ha5>\(dE]kff@%aZ^t-u[f[\?,LkAMu8H8_d
-_S<\9f?ha`_U6ZLf$hjkccG2+g>1K3eBuFlf$DR^_TU$:c-!rdj4r,1aihcAf at 8(&gssTh_:[;`
-eBuFP]!L8JeB,_Ff at 8'seBQ:^`7`_feBuFog![[L[`ZY+g=O]n`kg'JaiqlFg"+R0hV#lb^"V)d
-inrJ._7\^^f\YB6d*9YYc,ePfd+-Rhf[\@&f?ha`_U6ZLf$hjkccG2+g>1K3eBuFW_7JR\f&#02
-d*9SWc,SDdcIL at df[\9sdE9n`aOS_^ai;*ZjkdVZZ0(*%b/_<@aMHfjf%/<o`PT72ahl`^ccaDG
-eBuFjeBQ:^`7`_feBuFog![[L[`ZY+g=O^+f[5P1ImcR`kiL[EaMH$>^t$lVf$hjkccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"nhUflh^Y%)^da-#*n*%d/]ZA(+f$hjlcc4PaajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`f at 8.!e]u^nbQ%P7eBuFfd)j_^aO/;R
-bK.NKd)k(rdbEF%f$hjpeBQ.V^uj\4k2Y7?aMH'@_:I)Z`50%0b/;fZbfn2GdE]edf?hRV^"1ZV
-j5AV8b/;TN`m)ZDbfR`B`4aI>`9?=>aMkmFeBQh'e'H7WbK.NRf?h4BZdmLIj5AV+]sc\JdEp.X
-ccX2Xd`hIVm+'J*d*'DSb/DTI_q3>\eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYKRnGG9h*FO`4ijj
-da-"YahlKPaO/;Rb/_<\jP@\f\BW16bfR`=^UWLhhTsEbinrD/`4bI!i7lo3g"+Kh_n=16_:mMf
-i8)u9eBQ[tcd^@bi8)tq\$4iJf at 83jf$hk,jke8)_oK^/jl5%?bJ_]L`8BA#b/_<AahlQTb2D+,
-da-"Zb/;`Vb0nVWcHF/B^:2P:aQVaB`PT78ccF&@]%,6Pg=O^6j4r&-a3r;Tc-!rKb/</nf#YhE
-dE]ebe]u^nbL=h[H['Nl3&1I5pt+$?cHF/RcH"SfcI^RjaMkm9a2#p at _U?cOf[\9qccFS^ajSMV
-a2G[3`4b-df at JEpcHF/Nb/;ED_;3hoi8)u-aMH`feCrO$aMkmQhq6,n_9gHHbK.NelJpLGc-t%]
-inrD7bf.rR`nAqh^:Uc+f?i*tbfIc;k2Y7?aMH'@_:I)Z`50%0b/;fZbfn2GcHF/RcH"SfcI^Rj
-aMkm9a2#p at _U?cOk2Y7?aMH'@_:I)Z`50%0b/;fZbfn2Gg"+KscH"D\ajnh_`l#I:cH"G^b1G.f
-eBuFbbf/Dle(iX)e^DXkd`]t\`SK7saMkmQhq6,n_9gHHbK.NelJpLGc-t%]f at 8&hFDW]`-I^>`
-eBuFlf$Djnb07uEe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYbfR`Nd)j&8[EZk3
-cHF/We'-Lrce@!te'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbeUp%
-f$hjjcH#YMm+Bk6gXsp$cH"AZaP>Is^V$ttaMH!<^Z"&$cHF/Pbf.rR`koL#f at 8()hq6B'aPu+0
-e^DXkd`^=pcf*a4b/_<SgXO?b^X:?IdE]eVahlc`d+R!rjPeh at ccEr:\'WC>e^DX^`P13`eBQ.R
-eBuFthUfun_Tg6 at kiL[8]<p2>c.LLih:U0KnESWRbgXkYcH3uPc,\Gabgat\eBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`abPOt1GC98gssm#akb\"h:g?$aMH6J`miDYai;*PgXOd%bN7a<ai;*@bJ_]L`6$$6
-da-"Wa2#U.\^f-Od*9SqkMX at t][4pCaMkm7`P0L8^rsg8l/pm;]<p/<be:Toe'Q4ddE9tdb0J2K
-h:g>u`4aXHam/'IdE]ecf$DR^_TBg4e'Q4ogss`p`S/qjinrD/`4a72^<t6HgtC-:iS)Z'`luQA
-`l#I1`P1Bjg#1];`50%*`4ajTccaDGinrD:ccFGV`J&nj;,0XQnEK#mg=t9-e^DX]`4aI>`7ihi
-da-"bd`]eR^r!jrkN(IIccG8/gs+!Zf[\9oc,R`>]?JC6iSN29dE9h\`mN)Pai;*Je]u%H\CT-Q
-ccjA^f?ha`_VNqp^V$tsa2$0Nai;62e^DXgcH#)-gtC9)ccjA_f[8@%cGI?+f at 8()hq6B'aPu+0
-e^DXkd`^=pceI+"e^DX]`4aI>`7ihida-"bd`]eR^r!jrf at 8()hq6B'aPu+0e^DXkd`^=pcd0hS
-c-!rLbJ`f5j3#EXh:g?4f[7UP\_5Q[^qI2*d)jMR_VX%s`l#I7bJ_lVak"qbccjA^f?ha`_VNqp
-^V$tsa2$0NaiMH8L4akW=&@/a_pcuSgtC-*dE:(jc.17ce^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbKIuClfd<Vd)kV;iQ0!P`PT7Fh:Blp`7*&Pf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1J*g&M*Ip at IYNs7lNfo)JabqY0LZs7lWnp](9gs8Vlos7lKdnc/Xa
-s8Vlor:U*iq"jaSlfd=-s7l0Rkl:YVp[mkNq=<k8iW&rQs8Vlnqt0pgq"XOMs8Vljp[J+Vo)AOY
-s8Mcms7lWoq"jaSs8Vlip@&%]q![S2s8Vlbn*'fOq!$qus8Vlos7lThoD8.Ks8D]Oh:LN:e'lU`
-d`ohXahuWSajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccOY_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)gcbF\tn(s8DZks7l6VlMC8Erql?fs7lB^mf3=^
-p[mkQr:T[Nl2UeYs8Vllq==Rcq#CBhs8VlorV$3doDejcoC2#Es7lWoq#'sYs8Vlos7lWmpAb-d
-s8Vlos7lWoq#C<ds8Vldn`p)LoDejcs8Vlip@%_Hm/R%Xo'bfBs7lWoq"OFJnEoB<s7lKdnbDeF
-s8Mcms7lWoq"!n;qY0LZs7lWoq#CBhs8Vl]lJqpEq#CBhs8Vlkq!nCaq#C?fo'bfBs7lWoq"4+A
-s8VlWjPBV(mf3=^s8DZks7lWoq#'sYs8Vlos7lWoq#'sYq"=(Jo'?>Uq#1'\s8Vlos7lWoq#'sY
-qtT^]s7lB^mf3=^n*K09s7lHbnGiO`s8DZkrV$3doDejcs8Vlos7lWmpAb0fs8VlOgsuH)q#CBh
-s8Vlgo^2\Yq"jaSlfd=-s7l0Rkl:YVp[mkNq===Rmf3=^s8DZks7lWoq#'sYs8Vlos7lWoq"jaS
-lfd=-s7l0Rkl:YVp[mkNq==Rcq#C?fs8Vl`mH4HKq#C?fqY0LZs7lQhoDejcr;#p`rV$6fo`+sd
-s8;Qis7lHbnGiO`s8DZkrV$3doDejcs8Vlos7lWoq#'sYn*K09s7lQhoDejcp at IYNs7lWlp&Fs_
-s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_
-s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_
-s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_
-s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*ipuLDfs8Vlnqt0j`o1hqHcHF/RcH"D[`n&S[
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OdbfBSSnCH(4g"+Knahlc`d*9_N
-h:g?%ahlTVbLb7ga2G[Ig=*sT\_Gcae^DX\_n=dXdb!!nda-"ce'-S!dF6Iaf at 8(!f?i$pb0S;N
-cHF/SccFbhcH=2Cf at 8'nccF\dbfIc;f$hjpeBQ at b`mW2Sf$hjld)jb`ajJDSinrD1`kU!Laktn(
-ai;*Je'6=ca4\tfa25L=ccO\_ak>1hd`oh^ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ddE9\T_UQuU
-bfR`\hUgN7dDj):dE]ebe]uF^_qs.tdE]eaeBQ:^`6HHBe^DXbahl0>^X^cUd*9ShhUf``]A(uc
-e^DXhccFbhcIC7a_S<V;gXOWra3i2Qf[\9ia2$$F`R)lLkN(I9^UW1Ve\&GuiSN25c,S\tf$Vd`
-cHF/ObJ`8leDK'3a2G[Ef$Daha48V]cHF/XeBQLjb1"_ZdE]eZc,S8\b0J2Ke'Q4ed`]hT_9L-?
-gtC-*dE9qbaj\VYe'Q4bccF_fc-=DKhV6Q*bJ`/fdF?RddE]eYbf/2`c-OVQe'Q4ed`]t\`S/qj
-e^DXcb/;]Tai_Z>g"+KtccFMZa4JhcccjA^f?i.!c-4;HdE]e\ccFP\aOAMXg=O]paMH?Paj\VY
-e'Q4geBQ7\_pcuShV6Q5f$Daha25U$i8)u(_n=dXdb!!nda-"ce'-S!dF6Iaf at 8'jbJ`/fdF?Rd
-dE]eYbf/2`c-OVQe'Q4V_n=dXdb!!nda-"ce'-S!dF6Iaf at 8'od)j_^aOJV[ccjA]f$DmpbJqH4
-g=O^&e'-%X_U[)Xf$hjfb/;38]B%r)bfR`MccFP\aOAMXg=O]paMH?Paj\VYe'Q4]b/;o`cedF+
-c-!rJahm)rg!@m]da-"bd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-e^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DX_`kUTng<n3d
-f at 8'#KRH*K2V$7!gXsp&cc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4ed`^+daj\VYJq&#14Z:m?bgF_Ve'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VW
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4/GWeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VW
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe^DXid)jb`ab#"e5Wq$Ve'-4ba4&AS
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XY^ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ajnh_
-e'Q4cd)glhGX+DMf$hjjcH"D[`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jhdbL=h[e'Q3gIs=4A2V-@$dE]e]cc4PaajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2SeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE2Se'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.adDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ed`^+daj\VYJq&#14Z:m?bgF_V
-e'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DU
-e'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2Ue'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2U
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e^DXid)jb`ab#"e5Wq$Ve'-4ba4&ASf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaV]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS]aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`ajnh_e'Q4cd)glhGX+DMf$hjjcH"D[`n&S[d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4dccahabL=h[e'Q4adDsY^a4&DUe'Q4dccO\_ajeYYeBl7bd)XV_`R3,P
-dF,t^dDXM]`RE2Se'Q.bccO\_aje\XeBl1ad)=G]_UQuMeBl._dDaS]a4&DWe'Q:fccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2S
-e'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2S
-e'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2S
-e'Z.`d)XV_`RE2Se'Q.ad)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV_`RE2S
-e'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Q.ad)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DWe'Q4cd)jb`aj\VYe'Q4cd)jhdbL=h[e'Q3gIs=4A2V-@$
-dE]e]cc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`ajeY[bf%BUf at A9maOShacdB\\f#c:c`7<;X
-eBQ%dccXtfbLOhSccj)IcaqEO]$Jp=d*]V[e]HIocIL:df$2Lncd:=ibgjkSgX=!kd(S#W]%GKI
-f[S!md`p4ccd0bZeBc at gccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\X
-eBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\X
-eBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\X
-eBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q.adDaS]a4&DUe'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)je`akP:l
-f$;Ike]ttI\)?>ua3DHNf[%db`m2ZHe]Q1ic-b.hc-jqXd*fkWf"o\c_9LBCbg+&Jb/MZKbL+J[
-e]cFmc-G"fb1P%Uf?_%YcaVEM]@,!Ae'?+dd+6gsf[S6keBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DU
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)XS[`SB+j_o&t7g<@FY^Xh>p_90gJf\=]qf?qjue^!+&d,33sg<7jm
-a3i8Te'6CtccsqXc-XS\daHXnf?qgjdEBecdEU=l`nJt[gXa6me%jDW_U6TKe'?CmdFHambgat\
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.T_n+%7_;4&$c.C:ki82>ueA9D_
-ce%O*bj3Eom``iDcHPn&c1&`sm)706`ma(idFZ4Xc,IoXd*q"#d,`-afuhCef%&U&cHOheak,(a
-e^MIdd)FM\ajeV]d`fqbccahaajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-hqm):f$i1*hm1#;[)LS!^tPd"hmpf$]#4HU]_o=Ns1Q,G]YFKV^]1j]s1QST^WZ5\`TatMlaagt
-Xg-iWUX6!@d_<KPaN<2]c.1(`bKJ)Hd*9M\e&p=lc.((]eBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\X
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)j\^beV!3aj&MYcJc^km\dYUXMXU5Dm2i>WE3T?:KXr!;m]J)\l2\A
-9N&/e;R&quYt at rf93%N\=f5A/X]o8?B5P,2M9DQggrdt;d+%O3e)/Epcd'_Re^;Cie&U"b_pm&R
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4acd:V/o>AZ3]ZBSQFfB#&_-D3(
-7UWnh;7K8)bstaR92s)9?.E.ffi;;):g)(C?I;h\dTBf'<F!mG<QRd-_+ at M:;Hp_;A at 825m(:+(
-cdVC2e)8QtbgXnVf$D%YbduBO`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-d*L4]aPk7dppe<>E.c1s>H^nBcR;>l/ks1j-(YPhS/a#T2*niD:WQ"$`^itH:05_4:<ZO7ePo]+
-;HhaM>1QJPdR[?S5u+RhBt91ge at NK^cdCt(d+6apaOeePe',ARcc+D[ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`ajAA`cHtgnb4`'Spg\Td?@LF-I,Yl&W]ahC/l0BBV>lmas/!1(
-W3uZ0]`4V*s00'6Y-S)*WrK'&s0'!5Y.O^;C>2$P]KfB%<Fr`u6&/c[S(HHnbfe\gcHFqj_:d5M
-f$D=bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'?%`cH+J[aOAGUgt0rp_nFgUd+?^i
-cH3uZf?r@(d*0PHb/M-Pg!e9i`7*#QcH3u]g=5'8e]5P>dEKVbf$N.$cdL(YeBc7`bJi)]bgFYS
-f$V[ug=46_^=:KNiS<#3bf7rM_r9D%e'?%`cH*o;\D>fceBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jY]d`p/!_T_JQ_Xq;a^0H0:
-=bPfT8?kg1iIe01O0S]g*dASVJ--Hk$5ZtR&m#_d at 2L&#&f53j'kdRQ?;4_5S$)csFjF*(`)^Zf
-:1'o:Ha9WRf%JdFe^2gtcc"8R]%53HeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aiMB5
-dEKVggXXZo`Q#a+i7lf*`k]g=_8O+!f@%mea2-Q_dG<I'aMY^De'6IkbM(Lm]stAqbf8>ccI:([
-aMY^4_nFUIb1G(ci7lf%_7S:GbJ_0+e'?%bd)t1sd_*&of@%mnd)sVS_V!>^g!n=+gt'N_][Y9L
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4`d*BnafYc(rZ,Pp6IC!(+``S#L+B#7>L>A6:s/OKH#q0/U]BQW>kf2*Ca3sCrcK`6diPs+(
-dG4T4cLSTorB42?T=b#,GeIR4_JY"GFbIM7A<P9dlH.&lf$2:fcc"D\a4/GWeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccPS<imc;rcH3uF_nFs]eBc:Ug!n<rcH,50h93gRc,dcNcH+nseC`6p
-bf at QOd`feM^%(IO^q7#>jknJ0`o,V%g!n=#eBZ.Q^!b0Ge^2Iof?r=&ccF#;i7lf/bJiGqf%AHr
-g!n=%f$MOW^>Rbra25LJgt(!$ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYd*^%]e'Z.`gpG2a?[f(UID8X2cPo]R;23MMZ1F@!o`lm<
-al<*AhsA_EiQBU!bKnJcf[/*uc+_6:g$%n2b1s\_p9`<K;K8^>G.;^Vd=75#5=p1 at alpdadal^f
-gX=3pcc=P]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7R]sktr]&VZ"f[J*\]=$tei4ZY+
-f$V[Y^:<1YfAG<3gXa`p`k]sE`SK1p`kf:>e'6 at eaN_fCd`oh_d)sVS_U6TIc,dcSe'6t2fttG3
-jl"k6_nFIA`nJthbf at QHbJhoSa2,EshqHT.c,\Ymdc0*7`4rk4ccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`ajAGYbL4SReCV.QjC*SA
-<.2MVJ'8^&S5"X\GGsPRX4Iq:8\<=&^WOd<aMQ'A_VEheg=3k%jj1BGW6<c;c/@cd`8"L=Shj9$
-5[C""M9_Bak?_npcd_U:e)Ag&bLFbPf$DCdccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-ki:LMdEBhW_qEPbh:U0&bJhlQ`nAkek2G(0]!Tc)_pHTGbf at QXgXXZo`S]D!hV$Ah[BJlWhpfuo
-]stB>mc`6LbLFk[f$V[X]sl_Gcd'YMf$V\#h:Kro_pQ]Jgt0s%c,\u*gWmpYg!n<e_7R\%]'/21
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)j\^bKA/Q`R<DHb3*8cZWMb!;hN[=:8C[=e9IqWH(WA+4^,bPi6^-1f at J@!c,JPf`l>Ha
-jO_E2hU9d#e%a)Xd,k:DLUKEQR5 at g1F,ehL\c$)[VoHsIe^`X-cH+S`_UQrQeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aiqfAeBc7[`k^6Uc-abTd*'D]eBZq(e)&d,g!n=)g=4No`n&P\
-a25LQj5%Yg\_5KXlfR-MaMQ-?^tdPh^Ugei^:<"Oda61Vin`5?e^)gobLk:gc,dcRd`g\*f$V^]
-ai(p;a2-]ge\Jf)lfR-^g!e']^=:KNeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4ad*0_\e&K_l[)VNBICr[2doD%^*)3b9J`)m3s+[K8
-(G8e)bi[*kf[7jhd_j/X_T1lde_%^]eAg%`aPP7npJ+tOXi:<$<hMKSWf3eM[`\VE>*6P;jNZ''
-ccs8]fYl:d`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccH:i!#l[b"98E)!!!<.!7]?:
-`kf:7bf7N5\)5oh]stB7kMaq:aTMSDf$V[jccO#9[aWOCc,dcZg=4g*c4LHh#m:52!!(p1eA8f+
-aMY^>c,[lA]]7l$#Qk&0!!!H6!oi%fbf at QKcH+Yec-=>Hd`ohbe'6CgajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYdEp+ae(D^eij-Ji
-?@'4`HIGcAjr-h!:4;5p`rD+)p^89Hc.W-AcK`g$in2K7g<8F)_V",)n^>J at a2dS_b58p"s.mC/
-'JbJ(<O8I5s30L&6;`W`eFCu;g<.OFf at .=\d)=G[ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc5H#m7rR[+3OGjl"k0]se+E!9W7pdEKVcf?r!i`n/Y_"98E0"onc+!85lIe'?%lg=4d(c-OPN
-eBc5A!W^Kd_UHfOeBc5A!W^E`^u3ttd*'DYd)lLl!7]?:f[J*ha2%lY!9E%je'?%accOY]aOSY[
-e'?%accO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5R
-e'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`ajJJZc-atYdGM at PlXP@S=FAOrJ)q_D[8MJ:IA[$rVXb9MBtDUi^WcDibk&lsnB/oC
-d*V@&aQ^Ran\`lV\'Y/Uao=hF^)]M3?@_%Oi;]^hrtH_c`R*tue_&'f[FER2eBl.`ccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYY"p4kMb/MiVbKe;Ne^D\Q$jYA4cHj_Tda-(cdELY/gWIRR
-e^D\E!!(a)da67[b/_BJd*(4teAfD?"9AMNccY(te^W!j!rr>[hV#lb^"1ZXbfRd*!!(d+e'6%S
-gXa^Y"TZom`QcK at h:U/q_7SLSdFcpmeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qX
-e'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DU
-e'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jY^bfnM``7!PMaQm8`\6+.*<.O!M9".]Ik=p3P
->Cb*rD6Q-&NcTl`Q_i9PdJpbpoWYsk]ZKi`eGl&Hl`nh:BoU^E%U`:beXaSWTYUS(BW`1%>f4hK
-dFHmmb.-TmbLFnWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aTV_GinrJ8bJqrTaktn*
-!rr>Jc,eShdFQdlf$hpV\?jZ2bLY.f!rr>Tf@&!ha6DaF]t1W&e'@(7h#dWWcHF5ZeBcLda9)DB
-`50+>f$W1%dI$5\!rr>QeBcRhb0.f?"98GSe'6Ooc-stZe^2IgccODO_:6fQeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DW
-e^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4`d*Bb]f>5nr
-Z,lHCI_8a0e5LnZ*(mb<J*CL*mlFj_3Ei+\FgA!\pWh[r`mt+9h>c3ls09B8R]YdoMTQ8SD?(kq
-G+7`pc2X<Js%@(*%OG6l,Y6>9m)I)hi7uf&_R.h>a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccH7h!!<3$%LWIC!!!*$!8cJ]f at 8-ocH4bjdF6Ice^D^kd*(>%f)l!Qg"+R"d*'VR_q*;^
-b/_BLd`p1baV#*k!rr<'!!!*$!85rNbK.THbJqN<]a=uGeBuLaai)WP`uQ!0g!n<sccO,?\^/F:
-gt0s'ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GT
-e'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VY
-e'Q4cd)jb`aj\VYcdC%ZdbDRckci/#?[f^hIFM2GjVpk%:k.^uER83PhDnc57:)QE986_kW*!c-
-;e)C`:Q6DKF='&"&1DQ=2h[I(s.[I3@"Z?=5'6uO9e/J9fB2nD`mDK8_;*PggX=?tccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc5J%1'ng][bHTj5A\5`P;TW!5ZC[iSN85bJqQ>^>e&(
-bfRfKbJjhm!Q`6qcHF5Vd*'h^aktn*d*9YVb/Mr\cJma8da-&<!!(Hnb07uGinrJCf$OR"!7T<<
-f at 8-pc,Tqe!55nJf[J+#f?r!i`m`5Se'?%accO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(
-dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj8A]aO8kZdHe$XoO!']<IW:oJDV>?Z;Q25
- at ufi=\c8G at s/j?A\BY&L\F$K8p7&5LJX"i+K$QGRTL`M!T=P!/dJk1HI/k6b#UE!Ndc[dKb0\o!
-aNVopkNL1/akP1lf$;IgccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY!rr>_inMDf]$8C8
-f[\7[%g^P,`l#U&e^DXjdE9SN^YRVma2GY/((\U0_:[;`eBuFY_n=p`f%8Er`PT7=eBPkF\CoHZ
-!rr>Uf[8'j`lZ68bfR^."p!Q9e]PqJc,da:&.7=KeC;gdc,dcA_7S=Ibh1CheBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jV]d)j\j
-_9qPQaRNYf[TJ"!=+SmE9;ba>fls"V\(Ue]`rAqMTb&JN$QVqW-<CTr<HEr>X2=muW;_aOrh-b#
-H'.8-0m=QoBZ8m*`S9Osg"+*e`SKD%^q7)6e_ABea4AP[eBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aTMVEai;*WinMi)`mDuM!rr>]i7ZW-b1kRrgtC-&c,SDdcIC7a!rr>Od`^=pcdpRh
-kN(I)YGg:2dhNK'eBuFuhq6B'a9)DBb/_<SgXOd%bJ1]t%LWET]scM at bie!@"98GXf[Am>g;q1F
-jPSY7a2--G`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DU
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4`d*Be]fu2;![E.QBJ#lt*\Qj^+-;9\.JB=V+s.-ap8R at UteGm)#n\`cL
-[)2"GfDi5%s"R03>B at o-MWh4]s(?]4$QsAoaT&N`ikNjm`6lWZiQofq^Y7/Yg!.dqcHt.fbLFk[
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccH=l!8Q8UcHF/Ka2$Qde-lWb_n`h;f[8$h`Q6$4
-gtC,p_Rn+:`#KX-d*9SO`P0L8^]XZ<f[\:,hq6&j^B4H9!rr<'!!)!7f>khC!rr>Zh:Brt`m;lJ
-)]0.h!!!<.!6rU%f[J*Z\[1GWgUt##jPSY9ahuWSajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYdEp+^dF?7agUYD]C4DgbI]6e.ZReh'
-@=Yeja8*0ep(JWA`R=>"e*t)miRZr_^!,fZgA_R1AOg13>&VWASH!&>gHni at 5>[WaeG[>8j36-$
-^rNk1e%X\kaP+t^f?DCgccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7kf[7UP\_5Q[
-dE]e[cH"Yjd)Nu9gXsp,f$DLZ^sgZPhqZc(`kTjD`SK7sdE]ebe]uapbgXq\bfR`OdE:+lcHshU
-gXsop`P1HngXFNk_S<VAiS)c-ahtp)f at 8'lbJi5ed*^(We^2Ijd`gIsd)a,<g==O!ccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\V[
-KS+c-Knk58OEu\KCk.m^H'i]5XDW`gA93olQa$Mj(!Y+adFI4&e(hg[cd(8.Z,YbEjSof?CIh^:
-@<1-j;o3g9mtI%l`7+b)ddOffb2;C9d*]V[eA9\Y^Y7&Sf$DCdccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\X
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`abPCko'blCs8D0NoC2e[o)JaNpAaLTs7lWoo(N(t'-#<De'QCd
-eC2abai)KSeBd+>Wl!Tp(em_4X_`@BATd&b4fLkM[:"!b_U/>&e)mmE]&;W$dE]GXdD+&K\CT!H
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4dd)V6'IfKE>qYKd\s7u^$!rrH*
-!!EH*#7:D0s7l<^#m1:N^qJ4@`7rnfe'Z+^e]PJC`5gQo]Z]pd.Vhdb\63Rr?ZG%!@**87eoZYf
-\Amppm/F]7`5BL'l/U=OfZ;Xia4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY^ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-eBc6dG&R3Gl2UeWr;Q<[r:'al!"BVN!!3/qp[e+Km1BU+f?D7he&^4k`R2uEcd9Plm,banaNN0,
-'d?^?8X`^pbAN"':1hp?=h/@"dL74#_Tqf+h=01Qho3CBd`]JVd)XY^ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7cd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.bccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`ajeY[KR.qDrVQWoqu?]m!!<3$"98E(!!!$"s8VrqrV at 9;$/!ME
-f?VFab.uHP_:-fM`PT=<e(`C)n^,qg-8g$HBtQT3\mKsJ>C54)E6;I-^DeY6^;fQti:Y((alM=8
-eBc=fccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE2SeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)je`b_Ub%s8;oYj5pRQ"on`*
-#7gt2r:0pm!<<&qs7l9n!!(9[_:HiQe'?%efZr!oaOe\^k1o.3\^%h'jWZKp2Goc>GKX'7fiipd
->(#.*D9"tBScK0caij8-dd55tdaZRfeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DU
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4ccd$E?F8u.;rVZ['%h\jF!:p'[qu?QhqtU3js8W#s$NLIbc.1Y%gXFKof%8?oaN*)\eBu(Y
-g=#06g%N))q&MS==FS4`GKWg0g093k?[^aEIFK`'HbmSqb/<Snal([odaZUbeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaV]ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'H='NL0,"q>^Ho!!*5qqt^-hrV$-_rr;rkoCW(ZrWiK.
-e]ZFjc-aMJ`7EMhf$_staN`r#iQ&^Yf at fT,cL2At=uorU at Yi?1Hd8A*s+dHL=`1uJ=e,U!50qOL
-da%%)cI14gajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)XV_`RE2Se'Z.`d)XV_`RE2S
-e'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2S
-e'Z.`d)XV_`RE2Se'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\V[K7AFOrVuQ^o`+si
-!!!#jo^Dh[qtB^Qs8;corqus"!7B!5f[SBtc-48L_r0A'gX=3kaMHfih7p_He(aH"_;l(N;Ik*[
-U:^<5df62Yr2IF'E.P+s(-0F`m`sAEd*U.gd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VW
-e'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.adDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`ab51mqY'O\rql`pqs<P.s8Monq"=[dqu?Zmp[dkm(),-AbKIrEf[S=#e'Q(L]#qps
-hUffh_nFaTg="L2g>MhTg]&-<;BIT!*\Le5,Z#F3;^aS**A'[ja4eV_gsFEpe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)c at i!"B5="98E(!!!oQ'*eU>!rr<1#mLJ3!"]PF
-!rr>Wg"+g*dETeQh:^B8f[Ag6bLXqNd)WlYgXsWhd&jOgme$OVYKk>ApqtJMa3jOla5b4dk/,<s
-hW47LcIC7gcI:.^e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q2L%LW@=!!<3$
-&.AjI!!!*$!!NB'!rr<'!!!*$!"obLai2-Ke'Q4U_Tp<EccEoTc+hrU]AqShbf.9Lf%89pf>P\Z
-hrOOObi6t!ldXVVbL#:ue`>B:k0VH+a2c<Nccjkbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV_`RE5R
-e'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYai2-DbfSSie(r^.gt:02f$i7"d*p=be^;[ic-!o;]A(reg=Fa0g=P06f%/0f
-cb[!IdD=>R\DYr\f[7gsg"+d,ftbGC`l?<Tf&"HecHFAWc,e2P`5p?IbM(IqeBc=ed)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VWe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qX
-e'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DU
-e'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`akG at pg""Nrb/_]G`6urSbfIcF`PU3SccO/C
-f[S=+gXslsaj/&LaMbp:`PU?Xc/7!jgWmOT]rgJSccO)4`5&e.cGe\uf?;=Uf at J?ma2Hojf]M&G
-f$)=ndF$h#daZUbe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DW
-e^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jhdc-+2G
-b/_BXhV$6!a4o7qg"+R)f@&^;gVgq at ai;0CbfAYtf[nX!e'Q:je'6Cb_:m2OgsX3_^p)J>_X$F;
-`Pf(-c+Difc.:C`cca)LaM-3I`6Z96fZM7cbK&,Yaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GT
-e'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4]b/MlXbi.F3b/_BSg!n-`_:$ZPdE]k`dEKeT_s$4?g"+Qm`kfj>_qWhm
-ccX2WccOSW_VWnhcH<lQeAKGN[FE[>e()4\d(@B>ZK0ukf$M:fd)XkdakP(_e]Pn]ccOY_aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q.ad)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(
-dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h_eBlIid*:(fb0n_ZdaQ1`e%sJ^^X:TGdaZ"Ze at sG]_:?uO
-f?hOiccXqdbh14be^2IgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]da-"deBQCda4/MZe^DXdbJ`#^c-jqXe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajA;P
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,TaNi&Rc-=MXcH4>VaN`&J
-c-X5Md(R]N]?S^7c-X)JcbIiP_9pNGdEK\\bK8/UajJ>Rd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mDuM
-d*9SWc,S,T`mDuMd*9SWc,S,T`mDuMd*9SWc,S,T`mrM\f$hjnd`^(baNDQ=l/pmLbf.rR`7*)R
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)h#pI"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al,K78H*K7\`0JqSc.KR\T-I"I)tJqeK$L38*&Fb>EkK8"Q'KR/<(IYNH(L4Xu2Jq8Z/IYNK&
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$
-L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&E+I"m9$L4al.K7&?'H at L<b
-K7J6&KRJf9K&u"HbfR`\hUU*%a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q5:rV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*brr)WjrVc]ns8DoprVlWkrqQHkpAP$^rVuHes76-go)8U\
-rr2WjrV6Bjq>U?irr)ZmrV6EkpAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZhq==L\oDejcs8Vldn`p/SptOHKeBu at dd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-f$hdme&p7jb1>%af$hdme&p7jb1>%af$hdme&p7jb1>%af$hdme&p7jb1>%ceC2ane'Z[ocd^Fh
-f$hpqe'-Clbgt7cf$hdme'-Clbgb+eeC2^me'?Ilcd^Fhf$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7e
-f$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7einrDBf?hjf`R2uOccjARbJ_ZJ_p6HB
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`ajSMTda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Q
-da,q]cc4DZ`m`5Se'?%`cH+J[aOSSWe]u7dcH+P]aOSSWe'?%`cH=S]b0nVYda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DU
-da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aN)64
-bfR`Kc,Sf%g#qGPccjAZe'-7d`m`;Te'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jebaOJVYeBu at edE'hbaOJVY
-eBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at fdE'td`nA\Xg!@[kcc4Y`aP"k]g!7ancHOqdbh14b
-f[%^ld)steb14n\e^;IfdE'hbb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]
-eBuFgdE9tdb1+h]eBuFgdE:4rdF?Rdc-!rLbJ_?8]$S^Ac-!rZg!J3pa4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4acGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMda#b\c,/&U_UcrJ
-f$)%_ber#T`R`5Qf#u+abfA8Xa4/ASeBPt^c,J,V`R<&Lda#bXcGe2V`R2uOdE]_YcH">X`R2uO
-dE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">X`R2uOdE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]_YcH">X`R2uO
-dE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]_YcH">X`R2uO
-dE]_YcH">X`R2uOdE]_YcH">X`R2uOdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2Q
-dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]eYbf.oP`S&hgg=O]i_7K.'k/G3L
-f$hdjd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5ReBl1ad)FM]`RN8ReBl1ad)FM]a4/JVeBl7cd)XY_a4/JTeBl1`dDaS^`RE5R
-e'Z.`dDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&DUeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GT
-e'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GT
-e'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&DUeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaV]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dd)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaV]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.bccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.bccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY^ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY^ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5R
-e'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYeBuFhd`^(baNDQ=f$hjhbf//^bgF_Vd*9SUbJ`#^c-FMNg=O]sbJ`/fdEg%U
-g=O]e]scePeBlI[dE]e_d`^G!da67Y`l#IJhUg6'ahtp)f[\:"e]uI``7WVcf at 8'od)jtlce6mq
-aMkmBd)k%pdE9MFhqZc*aMH]de&fVEccjA\e]u7T^=UlZbJq?IccOqmd+d-ud`ohgf[A$c_UQoR
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYc-!rRdE9tdb1G.fda-"XaMH-D_q3D_eBuFke]ttD[cc`-dE]eUaMHKXc-jqZ
-g"+KpbJ_fRa4A_`aMkmWjkeJ5aj%uGe^DX`a2$p#hU^0"aMkmCdE:%hbgF_Vd*9SYccFtteDK'3
-ai;*Ed)jGN^tI;bgXsosaMH9La4f.lai;*Ng!\6l`n8heg==Nl`P:-WccsPJg!n<udEC1kc-45E
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qX
-e'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DU
-e'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`akPIq!rr<=((UKI!"&r2%133Z`kTjD`R`M^
-jl5%=ahlWXbgb%_f[\:$f?hdb_q<Mbe'Q4`c,S>`bgt7ecHF/Vd`]t\`Rr_de'Q4S^q&L`g!J!`
-dE]eaeBQ4Z_T^-=`l#IBf$D^f`mDuMhqZc%_n>'hg<%@LdE]eS`kU9\dGs0<dE]efg!\L%c/@@,
-f@%mibJi#Yb/_B3bf at QVg!e3e_UQoReBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ak,%ecHF-.!!(?h`R)lLinrD=d`^%`a4Sqf
-ai;*ShUg6'aiVQ;dE]eZc,S>`bg4MPg=O^)f$=X,!8,iI!rr>Ygst03dE]qRgXso[Yc6$qa5,Iu
-ccjA^f?i:)dFQdje'Q4\ahkp0\DuN#g"+IR!s$s&c-=DKk2Y7Le]uOd`nf at t_S<V,bf/GneC`6p
-eBc7he'61[_q`kkdEKVXbf8Dgd+$C`eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DW
-e^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)j>H^!+U8
-f$hhH!W^Hd_T9^1m-3NUbf/>hdC-B_inrD7bf/&Xai;62f$hjkccF;N_:dDccHF/Ye]u[lb1"_Z
-gtC,s`P0mNbL+VUccjA`g!\3j`<c_Kg=O]sbJ`&`cIUIgd*9Q4!!)0Agt^T2a2G[4`P0O:_<'\2
-d*9S]e',bH]$/:5da-"YahlTTb0\>Nc,dcPd)se]a5Ph)f$V[icH+M]ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccODQ_V*Md
-!rr>NdE:+lcG[Q1hqZc.bf.W@^"qDkg"+Knahl*:^!tHPkN(I9^UW"Ld*U%W^qI/i&.-Fs^=UlZ
-gtC,l^:2_Dc/ms>f[\9oc,SJhd*KqTda-"Zb/;ED_;F%uf[\7L!!(^'ccX;Dh:g?(bf/2`c-+2E
-_7mD;hUfoj^tI;bh:g>s_Rn[Xe$ZE[ki:LIc,\2S`RrYakMk:8^U_k?ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GT
-e'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4rhq6H+b1"_Z#6Y%Xe'-4ba3r;TeBuFfd)kD/gV1;,gtC-5gst!)bgXq\
-f[\9rd)jhdbM_4-^:Ubn`P1QthUKrqh:g>r_7JmnhpK`id*9SegXH<*!7fN at g=O]uc,RfB^!P$D
-&.Jijc,R6"XlJ?miSN2Bg=+0`^Wjp=f$hjpeBQn+e_/O"g=O^!bf85]bM(LmdEKVtki0:cZHgS0
-e^2IgccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7ph:;Z.!6iR%!rr>Md)jSV`666<gXsp5hq6&j^W4:+gXsp&d)k;)fYt_>
-gtC-3g=+6d_:I)Z%LWE[`4b!\e&B29nEoA^ahl<F_pcuSgXsp!bJ_iTaOS_^e'Q4lg![XJ[FWgN
-&Io&\]X?GDcdU7_cHF/C^UWFdgtg]5f[\9td`^1hbL=h[eBuF^`k_-2k1%`!eBc7V_7S:GbM(Lm
-e^2IgccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(
-dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY^:Ui-f@&!h`rc;Ae'Q:rh:T]`^!b6L
-da-&@"98uB#Qk&,f at 8.!e^+Bu!!<3$gXsus`k_f[!!i`.#6Y#/!!(*Z^r=1("TeZ+!!!0(!6N6s
-dE]i9!!!<0!RK!1bfRf\gt0s!aTDMC!rr>Ygt)W.!5u^deBuJB!!(*Z^^12G!rr<'!!!*$!7T<<
-cH3u^gXQE,!!WH("98GKbJi8gd0^$WeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY\@&OY((nEu\eYqhgXt!1g!nR#bl[qG
-!rr<4%1!LS#gpr>f$hnP#Qk//!!<3$!rr>Ygt1$%b6nRXccjE>$O5/0c,7?/!rr<;'Ft9G!7]E?
-ccjGQaMSAk!s8N'$3pXaeBc4T^^ghY)Aa%'^UaXQ!7oWEf at 8+N!rrE'!!<3$e^D^hc,^"g!8ZAZ
-"98E)!!(Ej`llB;j5/G7b/DNE_:I#WeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`al)"-
-bK.TRe^+X.!o;S\aMks?bJr)\c.17eccjGfh:U-#aTr%Me'Q8?!!)!7g!S*e!rr>QeBcn%e(E3t
-!rr>nna$>X!7T<<g=Od&dEE%,"j+d#()%1s_S+UPd*KqVgtC3"a2.oY!9W=ue^D\E!!)!7ftP),
-(DID9g=69*!85rNjl5+=a2.r[!6`Bt$O-V"lK$..^rsa5&e,)b^q/"?aOJPXeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aU\db
-`l#OAe'?4\`<-)?ai;0=`k_oa!8Q8W^V%&4gXZH,!5ZC["9AM_i7lW'aP>Iu!rr>HbJjVa!7]E?
-!rr>Gb/Fu($Ja=a^V%&:iS4M8!7B*6gtC38h:U-#ai;64"9AMJbJjVa!6iR'gtC0Z!!(?h`si at Z
-`PT=0`PD0;m/m=ghV6T`!!!*$!92hdf@%kY&IZ[t^":]Vf[J*pccOhgc.((]eBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DU
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`bK7c?e'Q8A!W^WnaiD?7hqZi3ccXkhcN=.I#R(2B&I\aA!8,iK
-"Te\D_nOODaV#*k`50+7ccXVZa9;VF[BcnF$jQk7!!<3$!rr<+"9?]h`<-)?f at 8-mbfA5\bgOh[
-d*9W<"p)c_^WX^9$3pX[cH4VbbmF[WdE]i9!!)$9g:Ol$hqZff!s%B<fE;0S"98E-!rrN+!!E9%
-gt0s&cH+M]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccHIt!S5`FeBuLec,]te!:K18e^D\E!!(*Z^tI;db/_ at C*u`_Zc3"%H
-c-"#Pc,eG`ble%IdE]i9!!(m1edD`ce'Q8?!!(Nrbfn2If$hpkc,el#ftFu)"p4i.!<<K5!sf&1
-da-&L&.?h.a4/M\!rr>Vg!g*(!9<"lc-"#Sd)uLk!6`I$*?#[=bf at c@][4j@"98GjlK$:6`5KF$
-gXa`qa2-9OajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4acH4nre]c.R%139Y_nOLBaP,7o
-cHF30!!(a)db!!p`l#Lr"T[#ub6J.Mg"+R)f?sa$!9W=uai;0Le^+Bu!8lS`!rr>Md*(%jcd'_R
-hV6W*ai"Pm"4,33e^D^oeBcUjbKS)H$jd'_bfA5\bQ at hFe^D^ne'8$q!7&d-&e>>scH4JZajnha
-"p4k?]!N\'(spIFf$V[md`g at mc-FGKg!n<sccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc5=!!!T@#m1/-#mLD:"p)QS\_,HZ
-!rr>QeBcLdaOeqf!rr>Jc,^P0$d$E)g=Od&dED^o!79!3#mLF]e'8$q!7]E?"9AMNccXPV`nAqj
-f$hpea2/)c!6`I$e^D^hc,]te!7oWE!rr>Gb/M]N`tT*ob/_ at +#6N)i_q`qp_7mGr'G&^@bQ at hF
-gtC33f$N:,dgH?[`kf:>e'6Xud*^(We^2IgccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-b/M-Sgt'cm_ZTr>g==O-gXXEa^=^oZ"98GMc,\8Wa4\tf$3^FVbJaSa!7]?:dE]i;!W^m'd*p at b
-gXssW!!([%cjC!Zb/_BVgt10-cN=.If[\=Q!s%!(d*BhScH4&Ud*0_S_[-GGeBc=^a2?HSbR+LS
-"TSPUeBlRc`s)PEiS<)(^Uqk9`s`1Tf@%kH!!(-Z^=L]TjPSVn!!)-=g<.CLeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7kf$MpmajeYYcH3uTdEBt_`rlAB
-e'?+dd*11md*'GGgt1!X!!(p1ecYsQc,diPcH=kkd1$?aa25P##mJ]!a3VoJgt0pV!!([#ble"H
-g!n:R"9?`h_Z^#?d*'DUbf8/YaU/1OdEKT9!s%!&c-jkWe^2GL$3\Gf]`\<8hqHT.c,UP1$HpH)
-#Qk(Tc,\2S`R`G["98GLbf1/#"OkZ;cH3uahUhr2!9)_adEKVSa2-N]d+?^ieBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\X
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`akk_"d*'DRahoDI)Tp%6^q7#)d)t.qdEp(U$O-S>#6=r-!"/u2
-gXa^S!!(d)d*'MJinrGm!<<3%!"9/:"p4kTdEK\N^^^_V!rr<.#6N]6eA];<gXssW!!(^'dE9GE
-hV$H.cH=_cbm4COf@%srd`qsq!7T69_7[;EkMl[F!!E9%*>fIn!!(<d`S8tjaMY\.'+G'E!!E9%
-jPSY5`P2if!n>Q<eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_akk_"
-c,dc@^q/.Gbi at R4i7lf!]seR^#0Op$gt1$"aMcf_dETbN&.8`hb/O\h!##hL#Qk&0!!(0\_;<kq
-#m:52!!!fJ%Klb3g!n<qc,U8!!n>Q<"98G^hUp6"`WcGD(D7,Z!!(<d_r]h1[BQYF%g`@=!"&l0
-"98GaiS2c(`WcGDbJq=#!!(s3e^)CV#m:54!<<9'!7T67e'?#;!!(TtbLOt^c,daG*>cT+\(]BY
-j5/G?d`fVC\CAjHeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jVV`7WP`e'?%S_7S4Calqd@
-c,dcIahuKK`QlTCe'?%cdEC(eb/qT9ccX2bgt(!&bg=VUhqZi"^:E+TecPmPd*9Ytki:=Gd+d4%
-dE]kVa27'%i7$&r]t1W%d`pq5h6aAdh:U62e^;aea4Jbba25Ou"p3N/dH'3>_nN\b!!)3AhTNpU
-g==U#ccab]a4o1lccX2UccP>.gW at CJf[J*iaMQHQajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajJ>PgXaa'd`fbK]ZS4.lK-pC_7SX[f@%pcccX8Uc,o/.hT3UL
-hV$E^!!(Knb0S5MeBc=rgXjco`X)bJaMYd=b/W`.hoWgNe^2I`aMQ*=^Z=;*b/M-Id`g+_`m2]D
-e'?%cdEB_Q^u*kqeBc7fdEBbS_:-]Nd`ohrj5%hq^=h#]mcicR`4jUA`TZ@<^Ugetahulad+-Lc
-o^D%iahu?C_;X2#\$E*geBZUkb0S5KdEKVmiS2l.ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4dccOPW`S/kghqHT7f$Mgg`nAkec,dcWf?r:$cJ[I-c,dcQdEC1kc/77)aMY^=cH-.g!"KA@
-$3pV7!!([%d*p at b`50+1ai*,nf[J3jgXt!&cH3r<]%u)jgtC3+cH=nmdalgjeBc=Q]!_bB!#ZI^
-bJqE?_nXUCaPGLu%LE<idEU.cb0A#Ge^2OiccO_ab14k]f[J*kb/D?;]]J)*h:U0*ccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEBkY`7`YceBc7]aMQ<I`SB(m
-jPSY;bK&c(h8mLKe'?+^b/VTC_9^9D%giNug=F$M[cZQ)dEK\Xb/Obl!SPuLg==To`k]X3][4j@
-hV$B5f?r0sbJLs%g==O%e'6RqcJdR0hV$Au_S#6uiR,lhai(pIe^*F<gs4$Z]stArc,\)M_Ss=%
-g!n=%f$Mac`7*#QjPSY8aMQ6E_o'3udEKVZcH+emdGs*9d`oh`dEBq]`llB;g==O!ccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYf[J*te'67_`QcK at d*'DK_S"XSd+?^ic,dcMc,[rE^=(9H
-gt0s*d`g4eak5(einrD1`kTU6^>@Vo]t1Q0hq6N/bgb%_dE]eS`kUHff$2 at Te^DXof$E at 5fZV@P
-dEKVcf?r$ka3`#Kjl"k?bf8)Ua3MfEjl"k5_S"XSd)!B'g!n<nb/E&cd,3R,i7lf3ccO_ab1tUr
-eBc7gd`gS$e%WB!eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-f[J*lbJhoSa4&>Tgt0s5h:K]a]Z%[tgt0r^Z)d!Eg>1E0ccX2fi7cl6cHXGIcH3u]g=4Bg_W'D'
-d*'DH^U`gujN5?Sd`ohff?rd at gqgY3e'?%feBZ%K]%PTYd*'DWcH+)E^!+O5c,dcC_nF=9_W^%9
-c,dcC_nF^Oc.CCfin`5<d`g1caOJPXdEKV`eBZ^qc,.0'hqHT8f?r!i`n]1neBc7_b/DQG_TTs7
-g==O(f$MpmajJ>PeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aiqfAj5/G7b/EAug"+Qo
-j5/G9bf8/Yak>1he^2J%inVPi]@"jBhV$An]=$ACccF)>gXsp6i7Z&b]&r&.ai;*@bJ_u\bh:Rn
-e'Q4R^UW"Ld,3X/_S<V5e]u+L]%#'JbJq?3\[1ASfu:b<f@%n!f[A3ma4Jb``4rkFiS3#6c-OPN
-e^2IgccO>K^WOO1f@%m[]slP=b0\>Nh:U0!`k^E_daZUbeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajA5Mgt0s-e^)akaiqfAg!n<td)tV6hWX"Uf$V[caMQQWbgk(_
-`4rk;f$Mac`7ibff@%mhb/DiWb0eGQe'?%ZaMQNUbL"GOh:U/_YGp1'c.((]hV$B,cH,)(fuh:K
-m-!?Oa2-<Qb2qR8in`54b/D<9]A(o`d*'D`f?r$ka2#<ph:U0$ahuKK`R`G[`PB(FhUplFfY4o&
-gXaa1gt'-IZ-^\5gXaa(e'6h*e^Vpebf at QRe^*40f$r$feBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jtjcHF5CgXa`f]XHPEccO,>f[J*ocH+emdE'5=cH3uVe'6Lmbg+>Jai(pNg=4d*cHODI
-_n`hDiS)Z'`lZ68i8)u,a2$!D`897uf$hjic,RQ4[cur3cHF/ah:Bil_W0M*hqHT*ai!5ug;CY7
-cH3uYf$MFQ]AM>la25LGg!eBoa5c%/ai(pNg=4["b21h#hqHT"_7SFOcca>DccX2giS2l.ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_akPCnbJq?Me'6 at eaOntd
-ai(p6_S!e#\BW+3kMk:Ebf7fE^Y@>dd*'D_f$MmkaNV]@dEKVXbf85]bM_.*c,dcPd)t%kcHjYO
-jPSY8aMQKSb0%]<kMk:-['%d!`QcK at d*'DM`4k<iftFo$d*'Dbg!e-a^t$fShqHSt^:<%Qe'Q:W
-g!n<udEC+gbKe5If$V[a`k^9WcG-rthV$B9gXY$.cdpLebf at QKcH+GYa3`#Ke^2I[_nFRGajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4lf?qg__:-]NjPSY4`4k'[da#tPf$V[ba2-Wce'Q:W
-iS<#!]!U/?cK4!<_nNY4eBQ4Z_VX%sa2G[<c,SPld`oqPeBuFeccFkndEp.Xa2G[Hg!\L%c,[c9
-eBuFleBZ=[_T9X.e^2IleBZC_`8&tld*'D[d`g at mc.LLie^2I^`k^$Ia5#:oai(pAc,\/Q`6uoN
-g==NrbJiDoe^D^_bJq?IccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7ccH+bkd)X#9hqHT.c,\;YaOJPXg==O#dECJ&e]PkGg==O%e'6Fib0eGQeBc7je^)L]_Vs;$
-ccX2Vd)s\W`7`Ycf[J*ha2-HYcIC1^dEKV`eBZ=[_Tg0=in`5<d`g7gb14k]f[J*iaMQfee'cL]
-cH3uYf$MX]_:$TKg==Npahu]WbL"GOg==NrbJi)]bg4GMgXaa!bf8Vsf##,0dEKV\d)sb[`nJth
-dEKVZcH+Vcbhh%%d*'DXccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JV
-eBl7cd)XY_a4/JVeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7cd)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VW
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4/JVeBl7cd)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aje\XeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/GW
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccOY_a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY^ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cd)XY^ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.bd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5R
-e'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-e'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5ReBl1ad)FM]`RN8R
-eBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8TeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBl7cd)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8T
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qX
-e'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DU
-e'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN5U
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4/JVeBl1ad)FM]`RN8ReBl1ad)FM]`RN8R
-eBl1ad)FM]`RN8ReBl1ad)FM]`RN5UeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DW
-e^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaV^`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8R
-eBl1ad)FM]`RN8ReBl1ad)FM\ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XY_a4/JT
-eBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM\ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GT
-e'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7cd)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.ad)FM]`RN8R
-eBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)XY^ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYe'Q4cd)XP]a3i;TdF$"^dDsY^a3i;Te'Q.ad)XV^a4/JVf$D=dcc=Y_`RiDS
-f?VFfccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_aj\VYe'Q4cd)j\_ajJMX
-dF$(`dE0e`ajJMXdF$(`dE0kaaj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYf$DIhcc=V_a4ASWf$DCfcc=V_a4ASWeBl7cd)XY_a4/JVe'Q.ad)jb`aj\VY
-e'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(
-dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4acH"ereBH%OgtC-&c,S,T`mW2S
-d*9Sihq6,n_9gHHe'Q4_bf/8dcdL.\da,q_dE'GL^"(QQg=OWi_n+ILbL=hYg"+EY[]SQHf$i!d
-f at 8!sf$2[ja4A_^c-*l^iRPrd\CT0Nbf[ZTg<S6ta48YZe'Z.`dDaAR^Y.5^a2PUFgX"X-c-4>E
-c-!l\h:1-/c,dl:iSN,9e&oVF\DGugf at 8!jc,A,ZaO/;PdE]_`e]cXpbL+VSe^DXdbJ_u\bg+DM
-ccjAZe'-LrcdL.\dE]eWb/;NJ`6ZZHg=O^)f$DU`_q!;^cdL"Xc,\Gkf#>eMgYgc,cH"`"fXec'
-e^i$kcGn,M_V<M^f?)%meBcOW]A1ZPf?VLhccObaak"e[f$DIhccObaak"e[f$DIhccObaak"e[
-f$DIhccObaajeYYdEp(`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[
-d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[
-d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[
-d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[
-d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL+\[
-e'Q:ed*'h`bL"Y[cdL"]d`]k`bKA>Xb1+VWeB?(bbKSGYc-je]d`]tbbL"Y[eBc7fccObaak"e[
-f$DIhccObaak"e[f$DIhccObaak"e[f$DIhccObaak+hYg<IRicGJ;\_V3;PfZqFfcG\>\`7E;R
-eBl1ad)FJ]`R3)PdF$"^dDsV^a3i;Te'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aihcA
-jl5%9`P0aFa3VuKf[\9sdE:7tda?@\aMkm>bf/8dcfF'=`l#I3a2#g:^X16Df[\4"f?VOZ^<Xp=
-hqZ]#_n+ at FaP#.hh:g8t`OsjRbgF_T`PT1:e&p+b`m)ZBa2PUKi7,lh]@50Hd*BMSc,%oX`luT>
-jl=t3_me at Pbgt:b_nib.cbnPlcIpdnbfRZB`kB[@_U[)V`5/tHjP.J`[*-P*e^DRsgsa*R[EHY+
-i8)o!^9ukRe'ZI]g=O]tbf/2`c/%+&a2G[,]sc_Ldc00:e^DY(jPAPAd(-TgccjAiinMYt_:mSm
-bK at iHb/N)hf"f,6f at n]maMHs!h9*mWgtC-3f[@pY]&;#_fuh:__7f9og=OWjeBl7cccO\`a4/GW
-eBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DW
-e'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DW
-e'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DW
-e'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DW
-e'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DW
-e'Q.ad)jb`a4&DWe'Q.ad)jeaa4ASYf$DCdccOY_a3i;VcdKkYe&fh`a3<&Tc-s_Xe&fqaa3`5U
-dF$"^dE0kaa4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\``R`DS
-f$M4`d)+A\_Ud)NeBu._dDFD[`7*,Pe'Z+_dDaM\`R3)PdF#q\dDsY^a4&DWeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DU
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)k(rda?@\b/_<Rg=+9f_T0U.iSN2%]scVFcdL.\gtC,t`kU!Laj\VY
-inrD9cH"Pdc+gp!i8)u1bf.cH_9U6BkN(I@`kT=&[aNLCgXsp$cH"#F^>%;fe'Q4bcc4bnd*g7[
-da,qrjP/,/`m;lHgtC',e]cb!cG7-#b/_6DcGeVndDj)8kiLUBa1f[8^YIMjdE]eigssKb^>.Di
-da-"gf?i'rbKS)Fai;*Ui7ZuAeBc at XgXsoo`4aUFaO8DUbfR`A_n=sbf at SNskN(I<_Rn%6_Sj:%
-_7mD,ccG)%f at nj'ccjAUb/E&YakFbRj3c32dE^[ucdKkObJ_-Ke'$4d`luN=e^;ItgX4a&b1b7a
-i7?/i\ZjQ1`R3)PdF$"^dDaM\a3i;RdF$"^dDaM\a3i;RdF$"^dDaM\a3i;RdF$"ad)FY_`7rPR
-gWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPR
-gWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPR
-gWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPR
-gWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPR
-gWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[kc,/5[`7rPRgWd[mbei5[`88_Th9<glc,/2Z`7WAP
-f?_Cdd)+A\`7E;Pf?_CfcGJ;[`7rPRgWd[jc,A,Y`R3)PdF$"^dDaM\a3i;RdF$"^dDaM\a3i;R
-dF$"^dDaM\a3i;RdF$"\e&BJ[`6$TIak"DQe\o\^`6?cMc.'\Xe&B\^`R3)Pe'Z.`dDaV^`R`AS
-f$D=dcc=P]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4acGp"e!"B8;!rr</#QY\S%+N\I
-g=O]n`kTmF`llH>lK@*E_Rmn.^<+C0e^DXbahm)rfu1_<gtC-+d`^G!d`BDAh:g?FlJp79`l,^)
-hV6Q:gXOd%bM(Rpai;*DccF;N^X16D!rr>Md)XMX`7ED[b/_6GdE'tjbhq4)c-!lTe]cq+e%iZ(
-cHF)VeBQXrcH4)@eBuFthUfif^=UlZb/_<Pf[8=#bl[qGai;*>ahl6B_:$ZNe^DXle'-Clbg=VS
-j5AV2`4ajTcb-foh:g?(bf0,?kM+Y:ai;*IeBQFfaNhuIi7HBe!!)!"`RMZ6hos+&eBlIU\.8cD
-ccEiRe]QY"c-XbQf\"Ed_RA%FaN_oCgY'j#dDaS^`7*,Qe'Z+_dDaS^`7*,Qe'Z+_dDaS^`7*,Q
-e'Z+_dDaS^`7*,Qf$M at hc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPT
-gWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPT
-gWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPT
-gWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPT
-gWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPTgWd[kc,AA]`7rPT
-h9<gobJ`8\`8/YUgWd[jc,A8[`7WARfZqFecc"G]`7WARg<IRjc,AG^`88\UgWd[fd)=D\`7*,Q
-e'Z+_dDaS^`7*,Qe'Z+_dDaS^`7*,Qe'Z+_dDaS^`7*,Qd*fnSf#>V\`PpKK`n/2Of#>e^`QZiN
-c-sYYd`'V]`RE5ReBl1dcGeG]`RrJTfZqIeccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4X`P0mNb7bEnai;*8_n=[RccsVMhV6Q6f?i1#cG[Q1f[\:%f[8jAgrRIKc-"#ahV#rf^XLQQ
-eBuL]`PC*TccsVOaMks:`kgB\da-.Xda-&<!!(d+e'l[ccHF/_gXOQn`<HDEe^DX^`P1HngXOWn
-`l#I5ahlNRakPIq`50%5ccFAR_qj%qb/_BTg==QpaOeqfda-(O]sunPeHH!Sb/_BIccX\^b1bIq
-gXt!8i7ll5cdpRjccjAPahlc`d)a2?bK.NGbf/`)grRIKeBuF[`P0 at 0]]%`!g"+Ki`4adPc-jnV
-%g;shd)Xkb`7`PXd)j&\gsG$=e]Q+Nbg=5[hpJmFY0PP:hVm&9fZi.+daHR`f?_ChcGJ;[`7iMR
-g<IRicGJ;[`7iMRg<IRicGJ;[`7iMRg<IRicGJ;[`7WARf$DCdccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYf$DIhccO\_aj\VYe'Q4adE0e`ajJMXdF$(`dE0kaajeYY
-f$DIhccOeaak4kYfZqFhcGJ;[`7iMRg<IRicGJ;[`7iMRg<IRicGJ;[`7iMRg<IRicGJ;[`7E;R
-c-s_Te]5e^a3)rQbga\Xe&Te_a3`8Te'Q.bd)X_``RiDSfZqIic,JD]`RrJTf$DIfccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\X
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`akke%g"+L#e'%mo!7K37hqZc$_RnXXe&o_HbK.NXh:Blp`666<
-inrD+^q&I^fZq[[`PT=TkiKt-_V*Jfk2Y=HcHF\`bLFn`k2Y=Me'QLfaiqiF%139ab/`,`ce$[m
-c-!rE`4ZZi"k_ANf$hjb`kTR4^#\/+h:g>s_Rme(]C"nDaMkmIf?hslb0\DSbfRfai8)o1bgk+d
-h:gE)b/XYe!6<!mkN(OGb/_N>^<4I5g"+Qn`l$6Nb21n&ai;*Thq6N/bfRl>ccjA^f?h^^_9L-?
-j5AV;c,SAbc.CIi_n`h4dE:4rcN=1JgY'fsc+q<<\E2o-ZF$OB^p;hVeBQI_dFZS#kM*bg\'WUH
-cHjPQb/20<][tHJfZqFfcG\A\`7WARfZqFfcG\A\`7WARfZqFfcG\A\`7WARfZqFfcG\>[`RE2U
-d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\
-d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\
-d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\
-d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\
-d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0kabL+\\d*^%ad*0nabL+\\dEp(ad*0kabL"Y\
-d*^%`dEKtbbL"Y\d*^%ad*0tcbLFk^eBc=hcHOkcak+hWfZqFfcG\A\`7WARfZqFfcG\A\`7WAR
-fZqFfcG\A\`7WARfZqFfcG\>[`RE2SdF$(bd)jb`ajeYYeBc7fccObaa4ASWf?VFgcGeD\`RrJT
-fZqIic,J>\`R`AWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)iu4ZeX6^dE]c7!!(6b_WU"9
-a2G[;bf/DldfTRM"p4i4#6<,q`kfBu'+bHP!!(p2f[eKs!rr<'!!!9-!s8N'b/VEPe'J=%!WrE&
-$j[*ke^E'udK9IL%LNNgbK.N6\a/J>g"+OQ!!'pP]A;2k!rr<:'+P*E!7oWEgtC2q_7TjM!#H=[
-!rr>KcH4tuf[J0j!rr<'!!!*$!:T7;bfIg.!<=)V(V7&]$O6meda-7_apA4Q#Qt58"9HuubLP%a
-!rr>Gb/4Yq!tu4P]t1Q$e'&.(!5?(Pjl5%=ahl`^ce@!tf at 8'``4Q<a!<EK,!X\o-"9?cual)=8
-":"qD`OZ3W!6WI$!rr<4$O>J:dFHF^ahGFQj5&22a3`8Rd*fn[d`'S]`R*&Pd*fn[d`'S]`R*&P
-d*fn[d`'S]`R*&Pd*fn[d`9b_ajJMXe'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Z
-e'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Z
-e'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Z
-e'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Z
-e'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Ze'Q:cdE0kabL+_Z
-e'Q:ed)jb`bL=h[e'Q:ed)jb`bL=h[e'Q:ed)je`bLFk[f$;IiccOe`bLb%]f?MLiccOS^a3`8R
-d*fn[d`'S]`R*&Pd*fn[d`'S]`R*&Pd*fn[d`'S]`R*&Pd*fn_d)Xtcal1=ahoX(!aiiS`bMLC`
-hTEsrbK8M_a4eeYfZqIfcGeD\`RiDSf$D=dcc+D[ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4if$D^f`mW2S&e>8i`kTa>_Vj8$ccjAQb/;rbd+[*u`PT5"%g^M*`<-)?e^D^daMe5]!8Q5Y
-f[SBtc--M!"kD#I"98GFa2[)ogr[OR"p+hUdEi.%"3ej,f$_n"f[\$\^X(-E$jd'acH-S*#L:N4
-cHF5WdED^o!7T<<$3pX_d`p(\`nAqj#6Y%NaN)NGa4A\dhV-Z>g=ZQ.!8?#S!rr>FaN)`Sbm+=P
-gXk!Y!!(Hmc-OSUda$#<!!(a)ciX7J'bUnq`P0dHa9r7Se'Q4^bJ`Arf>khCeBuFlf$D at R]\M2g
-eC;\B!s$6^^s1?Me(2bD!<C'W]abJWc-"!2!rr]0!7Ad+g<7bK!!(Wkb3 at L2d_s)OdE0__a3W2U
-cdKk[d`Kh`a3W2UcdKk[d`Kh`a3W2UcdKk[d`Kh`a3W2UcdKk\d`'V]`R3)PdF#q\dDaM\`R3)P
-dF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)P
-dF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)P
-dF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)P
-dF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\dDaM\`R3)P
-dF#q\dDaM\`R3)PdF#q\dDaM\`R3)PdF#q^dDaS^`R3)PdF#q^dDaS^`RE5Re'Z.ad)FM]`R`AS
-f$D=dcc+J]`RiDSeBl1]d`9\^a3W2UcdKk[d`Kh`a3W2UcdKk[d`Kh`a3W2UcdKk[d`Kh`a3W2U
-eBc7nb/r_bbN-^eilK=%aNNJ`akk1^h93ppbfAG^a4S\Vf?V at dcc+D\`RN8ReBl1accO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe^DXbahm&pfE2*Re^DXjdE:.nccjMJeBuDC!rrH)!!NE(
-!rr>FaheGm!m/Huai2+5',&d?cHOAMi8!&r#meJb^CCSW#6P#0!!!K9#m1/-bK%U3#mer'bgOe[
-eBlIdbfA/Xap%qJa2G_,&Ict.`n8hgg"+OQ!!(m1ecPmPg"+QoaM[&rgW%.Fe'H=nf$sj&!!<3$
-!rr<'!!(*Y_[$AId*0\_d*Ddo!78s5%1*<W^:i:Qf$_je!rr>ajP9n<!5lU_kN(I>`4Z<U!8,iI
-f$hjfb/<#fdb33tcHF/We'- at jbK\2I#6FnK_nk<`f%SKs#QOkjhr+nB!8PiG&HN$fair2J`T,=r
-%fc[fbL+qYakb4gf$;Ifd)jb`bL=h[e'Q:ed)jb`bL=h[e'Q:ed)jb`bL=h[e'Q:ed)jb`bL+_X
-cI9PPe at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<
-bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<
-bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<
-bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<
-bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<bga;Le at a#T]Zem<cI9GOe%EuT][#!=
-cdTPQe%F&U][5*>eCMFTaKiq2[FNmFeCMF_e%O5Y^!=m7e'Q.ad)jb`bL=h[e'Q:ed)jb`bL=h[
-e'Q:ed)jb`bL=h[e'Q:ed)jb`bLY"]g<@[pbK8S`akP%]gW[dnc,\J]a4SYWf?VFgcH"M^`RN8R
-eBl1`dDaS^`RE5ReBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYccjAXdE2Ok!7fN@
-`PT7.`P1Bjf`hNY`PT7Cg=+En`WQ;Bf[\7N!W_$/eC`9u!rr>Vf[o':ftP&.$3gUT`l/&\!8H,V
-f[S<maN)]Qb1>"g!rr>Se^W$mbKnDQf$hpfaMS2a!9)ef!rr>Sf$VUZ_:R2_#mLFWc,]te!79!3
-c-"#G`4t?jgW7=L*Z>j4^V8COdaHFc"p+eahVA86!8,fMg""LQ!!(*Y_#jZ;hqQf'_SOdMc3+.J
-da,uC#m/r:e()mia2GY!#Q_fW\B`:9f$hjca2#sB_q`qnda-"[bJ`ApfFnPseB#eZ_8P-Rcl<K-
-c+_((!!:cnbmFFNiRQW7cI1Lsecl*Sg<nEsb08G`d+?Uff?h[mcHOneb1P"`f?h[mcHOneb1P"`
-f?h[mcHOneb1P"`f?h[mcHOhdaO/MTd+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NI
-d+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NI
-d+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NI
-d+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NI
-d+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NId+,nXe\TV_^X1NI
-d+,nXe\TV_^X:QIdF>qYeA9P^^XCTIdaZ%]e%sP_^WO[-gY0[*iQoit]YqdqeCMIoiQp*,a4J\Z
-f?h[mcHOneb1P"`f?h[mcHOneb1P"`f?h[mcHOneb1P"`f?h[mcHOneb1+h[daH4bd`BkbaO8MV
-daH.`d`0_`aOAMVe'Q.adDaS^`RE5Re'Z.`dDaV^a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jMR_VX%scHF-1!s%$*cf!X1da-"\bf'no!8ZAXe'Q4]b/4;]!8,iI!rr>Jc,SDdciX7J
-d*0VWbJr2ad0KmUeBlGJ#QqN at YNk<1cH=00!!(TucNF7KeBlIpf[J0ja4A_`bfR^)!<CWsaqtj'
-bfR`Wg![gT\d/H>gtC*^"ourl`7`_fg=O[R!!(Bja9)DBg""NrbJr,]cN=.Ie^;YI"9?Wc`6QQG
-%LNHugt*)G$,scpi8!#/aMSDm!l2LX$3pRM_Rn:Daj82M%h&X!gssfta4o7oeBuFrgssj!aN2?7
-hV6Q-bfBtg!9Dhhin)r?dFAF$!9N+q!rr>Zhq\;6!6`a3]u\",e&_Ru!mBKN^X^HIfZhjmb1P%]
-g!7amccFebb1P%]g!7amccFebb1P%]g!7amccFebb1P%]g!7amccXe_b1"YYe'?.ccH=V]bL=bZ
-e'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZ
-e'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZ
-e'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZ
-e'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=V]bL=bZ
-e'?.ccH=V]bL=bZe'?.ccH=V]bL=bZe'?.ccH=\^bLOk[f$)=gbf\M\bLXn[f?;@hbf\M\bL+AL
-d`TYbda-\!e'u^eaMbp2^:DnBb1P%]g!7amccFebb1P%]g!7amccFebb1P%]g!7amccFebb1P%]
-g!7aidE'G^`P^HJ`7i2Kg;V+b`Q-WMb1FVUf#Gq``R!#Pd*fn\dDaS]a4&DUeBl7cd)XY^ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4lg!\'b_9pQK!rr>HbJ_!$YiXm!ai;*:`P)ES!!<3$
-%LWCP%g^:s^Bt2GeBuFdcH48N_\3Rh!rr<1$3^M3!6N6sccjEP*>ekY!!<3$e^D^kd*'PN_#jZ;
-dE]e]d)k/!eDT06!rr>Fahl*:]b(_Z!rr<7&.-Fs^<b$BbfR^5%0cn7!!<3$i8)uChV$W7dK9IL
-!rr<1$3^eC"3AHsda-&N&e3"(_?0c<gXt!%c,^J,#m1/-#mLFM_n=dXdK9ILi8)u6dE9n`a9)DB
-ai;(ia^?4J2^V$tr`kU!Lakke%bK.R2%1*%8!!<3$!rr>Ba2?-E`srUd^V[S_!s%6ChSms^
-akOu=#lr32d'Cs,^sg*JeAg4h`nJeZg<djnd)Oed`nJeZg<djnd)Oed`nJeZg<djnd)Oed`nJeZ
-g<[mnbfn\`cIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at f
-f?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at f
-f?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at f
-f?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at f
-f?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ff?MUnbg=tdcIg at ffZ_Xnbg>(ecJ$Ig
-gWRmsb0\ndcJ-LggWRn!cd^Icb0n>RgX=R*dacR]`mW/Ym-*Qad)k"g`nJeZg<djnd)Oed`nJeZ
-g<djnd)Oed`nJeZg<djnd)Oed`nJeZe^MI\fYY_`^rY6HaP+MRfttqc_T^ZNcI^(\eAT\^`R*&P
-dF#q^d)XV^a4/JVeBl7cccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYaMkmIf?i1#cIL at d
-gXsp;jke"p]\D)diSN24bf//^bfe)D`50%6d)k"nd)Nu9cHF/chq6#h^<":-g=O[R!!(d+dGNa0
-ccjAUcH"J`bLtImgXsosaMI*%hT*RJe^DXY^ph>$]%Yc]e^DRfcc4SdbLP%_a2GUMi7HB%`P]L#
-i8)o(`OsdNb/1p%aMkm0^:2tReBlI[e^DXle'-:faj\VY_S<VLm,cU=`m)ZDe^DXY^q&+JcHaVO
-g=O^+f[83rb0%c?f at 8'lc,S)R`TlXEe'Q4ddE9/6ZeX6^hqZc(`kUEde]uL]bL4PWf$2q.f?2I[
-g"b'!be_rabfe5EeCDOQ^p),3^=(QIf%\0bd(%]daO]+aeC)%^d(S&X^":WEf?h4_d(S&X^":WE
-f?h4_d(S&X^":WEf?h4_d(S&X^"CZHfZhIhc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]
-g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]
-g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]
-g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]
-g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]g<@amc,n\`bLk(]
-g<@amc,n\`bM(1^g<@apbfSV_bMC@`h94!tbK8S`bM17_gWdt%f@/9nai_N7e^D^pf[.da`P]U(
-f$M4ad(S&X^":WEf?h4_d(S&X^":WEf?h4_d(S&X^":WEf?h4_d(S&X^"C]Fg<[CbcahcU]@tTC
-f[.=ad(S&X^=U`If$M:bd)=G\`RN8Re'Q.ad)XV^aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`ak5.ha2G[Hg!\-f_p?QG_S<V7f?i'rbK.Z:e'Q4bccFqre(N<ubK.NLdE:;!e'l[c
-"TeZ+!!!cJ$j-J0hqZc-bJ_E<][>$Fda-"nhUfBLZ/XZna2G[6a2$K`d*9_LhqZ]>hUU$!`QH68
-hV6Jo]sQhXf?D at PaMkgMh:1B=eA&Z&e'Q.jg!JU1dacdhjl5%@bf.iL_p$6>b/_<:_RnORd+?dl
-b/_<Ec,SGfcedF+bK.N\iS)T#`897ua2G[1_Rn=Fb0%c?f$hjfb/;<>^;7OmnEoAgd`^"^`oc=:
-d*9SQa2$-PbJ)!,hW`_.a10(-\C8jDf$;+sg<Jm2`obL[lHR$3cbT.u^Z</3l,9jna0b0PZg>`?
-m)QO#a0k9S[HtrAm)QO#a0k9S[HtrAm)QO#a0k9S[HtrAm)QO#a0kKV[JmqLs1Gf?]XIjQ[f="K
-s1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="K
-s1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="K
-s1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="K
-s1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="K
-s1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1Gf?]XIjQ[f="Ks1>`>]=.aN[f<qIs15Z=]!hXN[f="K
-s22MH\?P_;YQ)b[s2M\C^pF'e_=, at Nm)QO#a0k9S[HtrAm)QO#a0k9S[HtrAm)QO#a0k9S[HtrA
-m)QO#a0kEU[J%JFq7sE4_70'R\amYKn&2j(`kCNU^>d;NhTWjjc,A5Z`RN8TdF$"]dE0b_aj\VY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)j\\a4A_`f$hjld)jebb21n&j5AV,^:2>._Wp=B
-aMkmIf?hpja32Q?c-!rPccF\db0\DOda,q]cc4#D]@PHRcHF)[g!J6raP>Iqai;$He]cIf`o5e)
-f at 8!Y]X-DHd*U(T`58t0cGJT!eCE$gbf[ZHcGJJpdDs5:g"4Esd`0qjb1bLl`l,C)_6qS3_SX'r
-hqZ].cGe_teC`<qk2Y1;`kBdF`S&heg"+Ed_77n<`T#e+ai;$>bJM9:]]7r'iSN24bf/8dce@!t
-da-"_ccG)%f>b_ at _n`h2ccFDT`6HHBf[\9re&fn^_TU6<i8)]AgWeTp]'IJQlb'Ol[&j;D]Do7?
-s0/X*Za'P>[/[J:s0Am/Z*+,5YlD)9s0T*3['K_=ZN%;;s0T*3['K_=ZN%;;s0T*3['K_=ZN%;;
-s0T*3Y,T5U'[RO%ckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]Rq
-ckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]Rq
-ckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]Rq
-ckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]Rq
-ckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW8%$d]RqckHl7'FW>&$e#^r
-dh3&<&I[)#$e#^rdh3&:'+;ki"4J2$cl3P=)@aLt#I+U9gbpMZP_f at DWW0?2s0T*3['K_=ZN%;;
-s0T*3['K_=ZN%;;s0T*3['K_=ZN%;;s0T*3ZEjM6[/[><s00!4ZFBkA\c91Os1H&D^q]HW_!/kU
-iQB*mc,J2Za3W2UbgXb[d`^%cajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlWDPK=3UH3:k3c:rZD5og:UIK$d9koL%eE$<&s3oKCda5n\cbn5Z`R*#U
-dF-7gd`2=cnCQ.0e'Gq^cG\;[`RiDUf[%XjcH4\`ak"b\f$;IgccahabL=e]e'Q:bber5dbK@`5
-h:Bg$cc=AT_UHiNg""<td`KYO^!k<IeBl7ddE'b]`S/nfda-"aeBH4``m;uOf\"KsdDsPX`7*2W
-dF$"]d)OM^aN_uIcd0MagsEmR[F!:=io&>;cc+G[`7<;XdF6+^eAfVV_:[Pge()Oec,/8dbK7Q/
-f[@dke&TSQ][PKRgu-T.d)4\mc-XVIgXF6m`kB[5\(o*Bilf=*c,nPI[I;A`pXIXDZE`T/_"5am
-l+t.)aMR&P[HP<4o>\T8_7T0M\c0^ioY%j1]=RgN]Dosos2;nV]tXN[^A,.GrOf`@]sn!QZi.A:
-s0f-2]=%[FXoG`1T/&'d,U&p5.]4dIU`q([*ZqR3-*ed at X<8[c,:'-3-Di%8VBdLc,UTB6-Di%8
-VBdFa,UTB6,c2h6VBdFa,UTB6-Di%8Yob(/)ACU8$e,n!dM<5=((8P+$dodud2!2=((JY,%FGq#
-cPI&:(Ce\,%F5h"cPI&:(Ce\,%FGq#cPI&<((JS+%FGq#cPI&<((\_-&().'cPI,>((\_-&().'
-d2!8?((JY,%FGq#d2!2=((JY,%FGq#d2!2=((JY,%FGq#d2!2=((JY,%FGq#d2!2;(D"h.&'l%&
-cPI,<(D"h.&'l%&cPI,>((\e.&().'d2!8?((\e.&().'d2!8?((\e.&().'d2!8?((\e.&().'
-d2!8?((\e.&().'d2!8?((\e.&().'d2!8?((\e.&().'d2!8?((\e.&().'d2!8?((\e.&().'
-d2!2=((JY,%FGq#d2!2>'bA_-&(21'dM3;@'bA_-&().'d2!88&dm55(rm6q^^^Ls,8ncI'>+eW
-^`=,m+WmR,-Di%8VBdLc,UTB6-Di%8VBdLc,UTB6-Di%8VBdLc,UTB6-Di%8W$<Xh+XjE8.&eC=
-VB[Ob,q5H5/"7q;Pq+HdZa0V>[/[\Es15]=]smmQ\bEnMq7sQ>]t=<W]DoOUs1GuD]Xe$T\c'7Q
-qnBW:^q'0T\b*bLo#&$-`4PKV]C!SLm)Ha*`PCiY_X,4Xlc$g+`l.#[`8o"XiQB*qbJ`/[`7iJS
-f?V at dcc+D\`RE5RdF#q[d`9b_ajeYYf$DIjc,nV_ak+h[eBc7cd)jY^bKnV[d*^%ad*'nbbLXt^
-f$DIfd)XY_`R`ASf?V at ecH"M^a4/JVeBl7cd)X_`ak+h[fZhOjc-+_`bLXt^eBc7dd)FM]`73/P
-eBl.`d)FM]`RN8ReBl1ad)X_caje\Xf$DHlIX"4B2VHO&eBQ%acGnMaajeSUe^D^gd*d8oM_ at Cq
-:MkqWCm.&#SiCYb2fG]TDlPd7W]P*r4)UrWDPoI4V`J^n4Dgu[Co9L6V*Adm5A[/\Co'=4V*&Uk
-4DpoUDP]F4UH<@i4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Uk5A[)ZCo'71W]P(!4)M&`Co'U:Qq_=Q
-_pmiBrr:EscHjnVcI0VSeA]GYbK8AWdFGu2s5Ve_][tK at g<I:dc+`&Y_ViYWhoa!rb/rJ^bhC7c
-f?MUlc-XtcdaZRfgsX9pb.QBN^>.)PgsF!qe&U at rak+eRfZqFdbehlQ_UHZDeB>_[c,A5\`n/\^
-f%8<qeBQ.^aNrD[eCr9mdDsDS_UdDcd+$(_e]5kX^sUWMdaZ:[c+h]V`nK(ggWmme_nFXPcH=\X
-_pu`@eAJoB]$f<UeBYqke]csr`nJPLeBYkWe\oGV]u\j?f%@jbaKj^Q_!9OkgqU,X^pa9f`r*K\
-s15iB[_)RG]Do.Js0''7Y.O_9]Dnt?s0Aj.XJGm!VuO!$s-oCb-RZ_Y/%HB7`Y]oC'dD$<,1I2K
-e.EnS&L,^:,17)IdLmYM'-#I7)V#H;ee/\H',8_-(;q+0\/cNm+<RR-+JgA.UF%+Y-Qf34*Mt,)
-V'R=^,p]<5,,HS0V'[=]-6T-3+JgD,V'[=]-6K'2+JgD,V'[=]-6T-3+Ijl)R6`e*Wh'13^](U>
-s1bo?^9[I:V#S<@s1Yf=^9[aP[/IbHqnKQ9^U<sR[JR_HrP,`<^U4!S[/IbHrk>f=^:!sS[JdhI
-rk5f>^:4*T\,F%Mrk5f>^:4*T\c0:Os1Pi?]s[mR[K!qJs1Pi?]s[mR[K!qJs1Pi?]s[mR[K!qJ
-s1Pi?]s[mR[JmnJrP#c>^:F3V\,F%MrP#c>^:4'T\,F%Mrk5f?]sn!S\,O(Ork5lA]t=9W]DfLS
-rk5lA]sn!S\,O(Mrk5f?]sn!S\,O(Mrk5f?]sn!S\,O(Mrk5f?]sn!S\,O(Os1GoB]Y"3V]DoOU
-s1GoB]Xe'U\,X.Ns1PoA]sn$T\,X.Ls1Pi?]s[mR[K!qJs1Po@]sn!S\,F%MqnKW;^UO*T\,3qL
-s2VqJ[''GE])TLUs1Go1TUqfQ:O=3+S1,e],pK03,,HS0V'R=^,pK03,,HS0V'R=^,pK03,,HS0
-V'R=^,pK03,,6J-V(*[V*"o5"+L<XFUD=BB(_X_5+hSU)`Yo]:(`(@4(=*a1dM*DD'bet0'@@O/
-dM!PK&foI7)q5K=e.W\H'c+t/(<.:-ZkEb^.Ne\_OT2V]s0A?uZCq6%TDu*is0oN<X0Vc$WrK<3
-s1H,H[^H">ZN%nYoY\?.aLpWX]\^rJf[7F_e%X5[^<Y<Gbh:(\e&KnbaOeSQi60:%bfengc.ULi
-e_&9_b/(pBaMcTNbgOefe^Mm]`7rP\ccs8]gre$c\_GBEimGfo`OXF@^u=2!ai1jEd)kP(e`"]r
-f>5D^bKn\\bLFk^cH!WMdDO_f`mr>LeBGb^dDjkc`R;iAdDruRcGeJ_`n/AOL3[i13],dDc.L4Y
-g!%@hcc4P[_q<AYdEp0dKSM6J:etq^6Z/#JDk8h+V_`=o1NBQSE3;-;XuC:#1NBKQE3)$:W]k7!
-6YWJgBW"F7V+G<r7VSVbC84(2UHWOg4DpoVDP911UHEFh4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Xj
-4DpoUD5]L5W]G$t5&I,bCR at h2MSms)pAY*@eBZLh_pZoLd*fnXe&fnbb0e_VrVu06e\Te_^"1NE
-fZq at gc,AD^`nS_Xg<@[kc-+_`bLFk^e'H7cd*C+ebL"DGe',JZeATk\^XUKBc,I3BcGJ/Z`7)lF
-g!Idrf?`@,d+m*of?VFcbf8&SaNDWCa3)<@ahuBMajeqfe(2dgcc!iE]u\@0gYL6&dDX;U_;F2!
-eCV^[a19L=]\h,Vl.=2,^9lkH`95[mlI<rHf?E3h\*1N6m(9_*a27bk^Al3io"2:"_n#?SZiA"Q
-qR*4"[&<r4X8f`8s2;YLP`_t,3M.]LUF%If,q>l=.]O^CX!0$o+tB`>-*SO5YT4L`)\p"1*nE;.
-VZd1D+<\9+&BPV(bS(l?&fK".)9id3bS(l;'H,+.):/s5dgm>G%i3Y+'[mX,bnLf/(`'S%)?6b7
-s0/L&['0M=YlD8;s1,93\#o\>XoGl6s0f03[]oe at YQ))8s0o-1\#o\>XoGl4s0o-1\#o\>XoGl4
-s0o-1\#o\CZIQ.Sm+T\DdDaDFZ/*aChU9?ia1L0XaOebVf$M at bd)FJ]`R3)Rd*ft]d`9b_a4&GT
-e'Z.`dDaS^`RE2Se'Q.ad)jb`aj\VYe'Q4cd)jb`aj\V[e'Q:ed*'qbbLY"[f$DCfcc=V_a4ASW
-f$DCfcc=V_a4ASWf$DCfcc=V_a4ASWf$DCfcc=P^a4&DYdEp(ad*'h`bL+\[e'Q4cd)jb`aj\VY
-e'Q4dccahabLFk^eBc at gccjnbbgat^eBc7dccahaajeY[eBc7dccahaajeY[eBc7dccahaajeY[
-eBc7dccahabLXt_f$;LjcHOkbbgt(`f$;IicHFebak"b\f$DIhccObaak"eYf$DCfcc=V_a4ASY
-eBc7cd*'haajAGYcdKq]d`^"baj\\_bf at QSd*C=ea5Y=gn']_E_8c#]_>h-Vs0o33[]oe at YQ)&8
-s0o33[]oe at YQ)&8s0o33[]oe at YQ)&8s0o33[]oe at YQ)DEs08F#Z).K*W;j6+s1YuBNek\0/\N)?
-_AO-2'bnn,'%.@)dh*2@&J*;&&^:t)bnCr?&f/h,'[dR+dLm/='+`;%%HTDrXoe[E,8mp,%Bp][
-Zlp6l,oa0>+0He2YU1^#.4V;E-_M_1SL5_R/1?c9.K?cVs0f'0\?5eCXoH)<r4]B2^T[FJZh)#E
-lFF=ta2 at o$an3Ebn\Muu['T;GaPObFn(?(OeBR.+cJd-lcb?mQf$`O(ajJ/@jPJ88cbe,O]\V&W
-jkJ,?f?MCN[,frgf?1tU_7S%0^=pfSiRZN1bKJ5N_r]b+e^).^bJ<&gc/$spccEiLb/*/ndb<0n
-f?hUqe^31'd$'?@6p!<YcH4>L^Xp`Kg<djibequZbKnS]HA.2,6W$NpLI#j at 3cLTGEhtR4W&/Lo
-2/oQTDl5R5V_rFn2/oQTDQ5g9W'>*r6>EDeBr+74UI/dk6#<;\Cnj+1UHEFh4)UfTDPK:2UH<@i
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlSE2,71TeUY_1NKBMEMtg8V`\jj7;S;bC5BdXj7`KPf$hjrc,&8Z_;`ST
-jN,C!bK\P_ebK+Cc.1FfdF64cdE9qbb1"YZe]l7dai`/Sb14JTe\o\^_T^QGbgjMQe\]knc-tFk
-fA4cocGJ;neB?7[d*p4adE:8#f[J?rb/q]Fa2QBJbgk+he^2gqcHtG!eCrBrgsaR#d)sh]`nT"g
-i7ZN0d)aVW_TB[)g![spe]PqJ[a3.3i7ZH*be2?DY3F9 at oYId3[]f_"SH#k&s/)mtYI+>3XoH&G
-s.cCiS"RSB1!(:b^Bbn;+u at X[*R5*,g)1sd)B[$.&',=rb8VD2&.QGt)S713[3Z`o.2o3:)Po&)
-U+[F[/fgQ.*3CeBUF7 at D&e(3X+f.=Ws/2:bcFs7jW;jT1rkbW/`MiCLW:%g,m)u?safPEVZ2_JC
-s1>K7]<;1FXT,o8s1Y]7_6`^N[HY`DjiP3qb.clX^?*JMl,UL'a1LTV^$3SOl,UO&a1^`X^$3SL
-l,UF#a1LTV]BRAJl,UF#a1LTV]BRAJl,UEuaM%#rc/mKsf#G8Na1C?_bM^mke&f;Tcbe;[`7E;R
-eBl1`dDaS]a3i;TdF$"^dDs_``RN8ReBl1ad)FM]a4/JVeBl7cd)XY_a4/JVeBl7cd)XY^ajeYY
-eBc7dd)X_`a4ASUf$D=dcc+J]`R`ASf$D=dcc+J]`R`ASf$D=dcc+J]`R`ASf$D=bd)XV^aj\VY
-e'Q4cd)jb`aje\XeBl7cd)XY_a4/JVeBc7dccObaak"b\f$;IiccO\_aje\XeBc7dd)XY^aje\X
-eBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dccObaak"b\f$;IicHFeabLY"]f$DIhcc=V_ak"eY
-f$DCfcc=V_a4ASWf$DCfcc=V_a4ASWeBc7cd)XP]ajAJVd*]t^d`9hcbL=eWhpg$)aMZTF^u35O
-ji>L8e^Nd&_!B"Rlc-[)`kC]X^?`ePlc-[)`kC]X^?`ePlc-[)`kC]X^?`ePlc-[&a2$cW`SSJJ
-m**`Dbfo+Z]Bd/Dq8:,=Za9\F^AkmZs1GrC]=@mQ\Gs1Ls1Gc>^U<aQZh)2CpVa?6_QX!SY5c/9
-s1#*/[]9+^Ks<g%X>2N&+XEp0.Bb*RW?Ejm,U]!#&Y^]gY;./q-52ja#I,Ql^+1A/'Fqet)T*L5
-`u,i=(E:X7)p]3;d1dPI'-G'r(t9rn[Nd=&Q^7Zc\Gs1Gs2);GV4IXoZN%#-s0fB7St,hjYOTK6
-kg6ih`N\%3^#$oTf%&-th9s?i`4ismi6KL/ccb=i`SSt^g"js$i6BI!a2H05g!@Y"f?hXU^<XmA
-eBlIkda-Ind+$Ojc-FGNa269SdDa/EaN_iGb/T0oLGV"Ke(N9ue^)RgaO8S[c-XMTe^2=ce8^;)
-,t:s)EJchtPrE`R1if9IEhPI3T0.%\6>`&UD4!P)T0-te3cCiREMG at 2UGHtd1NT<IF/(R4UG[%d
-2fYTPDl#F3V)iOk3c:iVDPoR6V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk3,kWLF.P10ShtJ_20#HRDl#[8Sk*X^
-:hb^*e)C6&rn>cBgrmOlb.lrX_W8eYhoa9pcJ&'js3K0OajAb_dFcOhe]?7ia4AYXf$)4daiN&R
-ak"DQf##Y]^s1EDc.0VGah#C5^<=pC]Y_,.gsX6f_p6`Tcd^7\ai)<E`m)iRdF6IleC;sre'H at d
-e&f\maMR2X\aIJOn&2p"[]nu+ZhMGQqSg5Lai4;"_tUXJo!,CuaN+>"`V6XBs2DbQ_R0?QVjf at g
-]/r'Y*$D[**mZJuV$[d<+!RKt)7CnA_C7+Q&ff12,1dY[^Anbi%iiOn&^V.1f,c9Y',e at m'>bh6
-_^d/8Un.OaSc>d^s0/'oZ^q-)Sc?3js1"d&Z)I]<]Dog_s1>T:`k(WJW;FlPiP)8Mc*H*NZIIC0
-c.B8Bg9SWOZGGD'`S7fHe at jG[^t[/KhT`anbIuoY^#.&JgWdObcc+;Za3W2UcdL"ad*("dakFt\
-gW[^icH"G]a4ASYeBl7ecc=P^a4ASWeBl7ecc+D\`R`AUeBl7ecc=P^a4ASWf$D=cbJ2B@[FNC4
-i7,j(e&U%`^t-`Ff?_Cdd)=M^`73/QeBl1ad)XV^a4&DUe'Q.bd)XY_`RN8ReBl1ad)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cd)XY_`RN8TeBl1ccc+J]`R`ASf$D=dcc+J]`R`ASf$D=dcc+J]`R`AS
-f$D=dcc+J]`R`ASf$D=bd)XV^ajeYYeBc7dd)XY_a4/JVeBl7cd)XY_a4/JVeBl7ecc=V_a4ASW
-f$DCdd)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ad)FM]`RN8ReBl1ccc=V_a4ASW
-f$DCfcc=V_a4ASWf$DCfcc=V_a4ASWf$DCfcc=V_a4ASWf$DCgcH"P^`R`AUeBl1`d)XP]`R3)R
-dF#q[c,A#S_V3D[hpBL)ccbCnaP=YKfYG5Tc,\D]a4JVYf$DCgcH4Y`a4JVYf$DCgcH4Y`a4JVY
-f$DCgcH4Y`a4JVYf$;Ifc-OMMaO\_fiRlu:b0JDRa5>:ll.ObEbfSS_akG"[fZhIgcGeA]`7E;R
-d*fkRf>>MZ_TCBGcd]b]dD"G]^#dAJmDZ^;f[9,lY5buBs0o]AZbQOH_#L at Cs/E4%_mKHHQ2e(W
-s1G<1_Qj-Z[f;A?\hPY>*ZV^0*5E at 1`=s65&ff1.)UAp6dLI2L'Htp?+0c(Z^*t at q'b-ld*h+;g
-\2Q.5%h6T:1p at l;XWJUo4Z8Z_,lbBNs2),B`l.JLYO/[$rQN=^eB[Ks\,X[lo"DO&^q&XG\(J[,
-cH*<Ce\9JU[,fcQgWR7\d`L;#f[nd)`Q#a5`kg3Wdb!1%b07uYgXj]td*gLq`Q?2RLP at QB2:U at 4
-cI:+bdE'YabKJ8Sbgk([eCAPoOsWV#88jGODjNP(SiUe`4)UfXD4a12S4RI^88=JWD4Wh-T/^e^
-20,BHF.k:0Te:J]/U!m at G,$[3V(m%f1NKBNE2Y^6W&egp3c:lXDPoR6V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Xh
-5&QlTDO`n-Tg!=g5A[)`CRe15P?;CMdE^YLq#''raP>"Sf?V.Yd_a/Wa33#Xda6PEq#Asmf[A$o
-d*C+ecd^=gda?Iid*U(bd*C"cbg=b\dEp(adE0kaaje\Xg!Idtf$3F9f%JEjg=+0e`4FFD`7WVa
-cd0S_fZr=1eCE3ra3)06`Oa1;_r]@ds1b`:Yab[!T`;a-s1,62YbqH%VZ3]qs-&\r1,m8p--dDT
-_?L_('I26F-H?0%fb>d^'I:*i&B?"FUCIj;,9`d$)7qa]\M#PA/Llef#e<,ZR4TZ`VjIG!WW1)J
-pq=*8_nuGl_tL[Pp:@g7aN".p^u22hpqsl?_nYi_^[f at Yn&N32aM7,`^ZrtVilJaga19pB[ar@'
-im5EnaLL<\`7`AHg<[Ibd(S&X^"1TEeC)%[d_4,X^!Y9Dc-s_Xe&g(cak+h[gW[dqbKJ_bbM14a
-g<S'ucI1Ckdb<!phosO/ajT at mdcSWth9F=!d*C=jd+H^jg!@srd*C=jd+H[kg!A$tcd:@kcIgLh
-g!@srd*C=jcIpOgg!Idic+r&]a4\k[bf%'<a1U3WakYFif$D=dcc+J]a4ASWf$DCdd)XY^ajeYY
-f$DIhcc=V_a4ASWf$DCfcc=V_a4ASWf$D=dcc+J]`R`ASf$D=dd)=M]`R`DSf$M at dd)=M^`7E;R
-f$M at dd)=M^`7E;Rf$M at dd)=M^`7E;Rf$M at dd)=M^`7E8Rf$DCdd)X_`a4ASWf$DCfcc=V_`R`AS
-f$D=dcc+J]`R`ASf$D=dcc+J^`7E;ReBl.`d)=G\`73/PeBl.`d)=G\`73/PeBl.`d)=G\`73/P
-eBl.`d)=G\`73/Pf$D=dcc+J]`R`ASf$D=dcc+J]`R`ASf$D=dcc+J]a4ASWf$DCfcc=V_a4JVW
-fZqIgcG\>[`R`DSeBl1`dDXG[`R3,Pe'Z.`cbn/O^Xp`JhpBL*d)kCrbM^Xegs40tcd(7id+Qaj
-g<S'ucd(7id+Qajg<S'ucd(7id+Qajg<S'ucd(7id+lplfuM.mcHkOsd+QCXfu:nke'[$raMP9d
-fZqIecc+A\`6m#OcdThWeABAZ_TLEJbgXbZe'-(bbg=b\dEp(dccObaak4kYe&K2SaMm2hdG`L#
-fu_ at qdaR+"dc\s&m)-O(]<_=U_Y;$`iN/pE\$H%[aT';rqnTf@^UjEZ])KISs1Z)E^:=3W])TIK
-s1YH3ZC.I?)SS<bY9+Oc)\gLP/Yid[__WgB)A9>")Q+#PaWi+A"Uico+k%8M`>fc7+<&ZN+LhU[
-Ym1NN/LURbM>t/cs0SEu`3B9[[f<q at s2DD5\YScE\'`0qe()7Rc+V0@][>9Le^qshd)4,Q_pd)V
-`PT74ai3&bdF-1XML^1A2Ds@>da?+Sda-"`e&fq^a3rG^cd:0gK8qZO=&Wjm9PBb^Bq[t/W'b7$
-7VAkqAun^;W(:Tu3,kKGFIk at 1SiC\]3cL]PDkT+0Tepeb0Qa-CFf-g5W%N1j1NBEPE2l!:W]Y*t
-4)UrXDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]I5Tg*Fb6#E,VD4s11UHr^k7V\MjB9QD/L!J'&s8)ZJd)stc^XLQG
-cdThSe]5k`bgb"as7uHEcd11dbLOk\f$;Lhccjqdc.((`eBc at gccjtcbgt(`f$;LjcHOnbbMCLg
-e&9#P`5(<S`nnbPl-@?9cGo"_\EUi=kI[t^\?,88YlDbTs2r"P_m9<LUo?3uYpgWe)%<D\%Cd])
-\02cp'bIhk'[8!Q[0mDZ&JW4s(t'9Fd24">!tO'-/]@l3g*J_n+"RASQN+P)s1#94^UO6=SH#CV
-s08U(_n?#YX66g\k/aXgj2'*m[Em7<eCDmod`otX`QH6<d`onif[T'?gXOHheBH%bbK88XajePV
-eBH%_c,nDYa3i;ReCDUogX"U.c.(7ab/h3FdDk(ucdg=Ze^).ac,A5Y_q3/Og!%@ebf&&W`6?ZN
-aj\DXd*'e^bLOh]f#uCjbKnb_ce$Iif?VdqcI(=idG2pmi5sC,aO0"gdG)pjf?_^ncct(fc.C:d
-f?_^ncHk+fce$Igf?V^ocHk+gc.C:df?_^ncct(fbh:Oje^;Cfd`9e]_p6E>f$_Unf?Vgi`RN8T
-f$DCfccObaak"e[f$DIhccOb`bLXt^eBc7fccO\_ak"e[eBc7fccO\`a4ASWeBl1ccc=P^`R`AS
-eBl.bcc+J]`R`ASf$D=dcc+J]`R`ASf$D=dcc+J]`R`ASf$D=dcc+J]`R`ASf$D=dcc+J]`R`AU
-f$DCfcc=V_a4ASWf$DCfcc=V_a4ASWeBl1ccc+D\`R`DSeBl.`d)=G]_UQuMeBu._d)=G]_UQrN
-eBu._d)=G]_UQrNeBu._d)=G]_UQrNeBu._d)=G\`7E;Rf$M at dd)=M^`7E8Rf$D=dcc+J]a4ASW
-f$DCfcc=V_ak"e[f$DIhccObaa4S\VfZqFecGeA]`73/Qe'Z+]dDaM]`7*2UgY'g!cGS2W_U-<9
-beLU at b/;oT`S8Y]fZqapc-=ndc.U at dfZqapc-=ndc.U at dfZqapc-=ndc.U at dfZqapc-=qebhC7]
-iQo^'cH4VV_:$68fZV7le^*F8f@/'ad*T_Vd_j8X_o^EGaOS2Ke\oPY`m2rUd*BtacHjk`c-Xe]
-d*Kn^cca\]b0A5Rf at e["eBZ1^bJ2-9c.LIce'H1_bM^puf>PJ]bK&erdGE*ggWIFdahl02Ze<R@
-f?M4bc,8,X_:HoJf$;+^cb\>[]%t8upWKH6^7tY8U&UUBs0Ja*W1a0qW;iKSs1>K7[&O)7YlBcI
-_B()Z,rEIE'tt:n]+5:u)&h'B*8r at u]+u*r1Ff+I)jhujUba<m-m4T^$)&[fW]Mp7WgEb7^&>aI
-q7s-+]rL\9Wq=*4pW'i:aM$u[^$j+^ma', at bfStkc&?gj9/nujd*paqdF6 at be^;[ic-4_cda?Cj
-It<V<5#k]uMGIlM8SFebBrXL5YsN-16YE_oB!Xg<XuLBq20,<KE1]10TfR+c3cCcPE2>F3V_`@k
-0lj3IEiLs9W]+jt4)M&_CTKa9W]Y-r4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlUDkf73Si:\]3,kWSDP]O6V*\si
-88FJaCPT[ViU?gGc.C1cd_XJ[_qNASh93psbf\Vb`W,l(g=!sjcb\/X_pm&OeBl.adDjb``R`AU
-f$DCgcH"P^ak+h[f?MLjc-+tof$VIWf>P]'g"G2dZMqe[s1l>JXf29C`W(mMdQKLq&-ffU!RV\j
-f,Y at K)%X(T"k4kQ`ule6%MZJt-FP9NU*(SS0eA\H.[N:Ror+8Xd(f7dW;FcFo#S'%^T-tC[-kH,
-qo?AKcGK(h\a78EgpjHRcGB&$amRd&f>P,\f>uOc]'/,!d*95Ja1:3_daH1RbJ:dGe'@.5g""Bh
-ahk^<bf8/[b0n_\dF-1ae&otcb0AJZbLOb^e&p_)e_&!`cbI6 at _7nXIbMh%#f?DC``kg<Qbh(4a
-f?_[md)stdbgk(_e^2Ogd`Tqd`m3)Rd*p(`d`g.ec-k"cdF$:ed`p(dbg"\\c.0t]e]?%cb0\V[
-dF-7ed`U(f`mrJUe^;@ddDj_a`mrJXe^2Ihd)sncb14k]e^2IhdE'kcaOS\Ze^;Cdd`0PV`QQKD
-c-=5Ud`U7rdFm4#e'Q4\ahlNRbLFk]eBc=fccanbbLXt^f$;IicHOeabgXn^eBc at fd*'qbbL=h]
-eBc=ed)je`aj\VWeBc7cd)XY_a4&GTeBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBl7cd)XY_a4/JV
-eBl7cd)XY_a4/JVeBl7cd)XY_a4/JVeBc7dccO\_ajeYYeBc7dccO\_aj\VYeBc7cd)XY_`RE5Q
-e'Z+_dDXM]`7*,Pe'Z.`dDXM]`RE5Qe'Z.`dDXM]`RE5Qe'Z.`dDXM]`RE5Qe'Z.`dDaV^`RN8R
-eBl1ad)FM]a4/JVeBl7cccO\_ajeYYeBc7dccahabLFk]eBc=hcHFkba4S\Vf?VFfcc+D\a4&GT
-dF$"^dDa8N^t72]e'Q.kg!8C'c.'qRin)T6e&p=h`n/SWf[%Rhd)O_a`n/SWf[%Rhd)O_a`n/SW
-f[%Rhd)O_a`n/SWf[%RfdDjkod)F2E^W!h3f$)n-f?;R^_8Nt,cG\#Xb0JMZc.0t[e]Q(cb0/>X
-b1=e]eBH=gbgb%_e^2Ihd)steb1P%]f[%Xlcc4_baQ1t#e&K2YcHFnaaQ(h!f?)+_aMcEK_p6QG
-daH4adDsMT^X13 at h:Bg6imu`-`7WAPg<RRhcG82Z^t[,Lh9E[ic+W)a^$+1cdD)[Bd(A\p_!f^e
-p=I:E^p*FS^#6>tn\Vg._R]]i`;[`in[>\%]=@mU`;d<[s2)bTYH[PaS<u)mSKoeb+"OT:.Bsd9
-Z5F^s+XGc!3NrJcf,,UP#RSch#2(+/e/Ae9'F<MT0E6NHs/i7"[^,qA[f3S>jJf9[d++J-IS`-q
-d`'PcdG3*nf[A.$ccjqgd+QakfmJC51I+l;CPPJsO[3iS3c:iPE3;!9Yq^4(1N9ZZDQc?@W'b<r
-5A[/WDPo=2V_E1j0QX0IEiM!9W]G$t5AR>eBrja:W^UU$7;/\fC8a=4V`Sdm4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-3,kWKF.k=1Tepbe2fGWUDQ#a9UI&ga88X0ng#VK!s2is>bgXJ[cbnS_`Snn]il]F!cGT\[lIj\'
-da>bTd_4#V^<tECe^M7bd(S>\^#mGKn&2j4^q9QY]DoLTs1>oB]"A!V^Al!as0T1u2E$aJ.A/.?
-X=>X!*#Q(%(;^t+bo.>I)AC[<&(2*t`"NU#/2I6jT`;I8s.cRnZ*s\>[K!;,s1u;A^U2q-VYT)l
-gW[(A^S]cE`Q[#K`mhTEfu)"__9pcMd*BDYd)F\c`n8\Zf$qdbcc!`H^rOpEb1=_cgsj9]^WOO3
-h:0d%ahd)kcf3L!e&fASb.uTR_q*2Qf[S!kdDXG\`6crNd*fkYe&9M\`6?cMd*fnW_SFsPcK<d3
-gs43n`5L?Rc.0qXfZ_RjbfeS]bLOk\e]l:fc-+Y^bLOk\e'?%`cbn2X_:$ZLda-(acHX_]cd0q`
-cHsh[e'#naa3)rOak"GQf#>_]a2lfSajnMXeABP]^sCKHcdThYe&BY]a3W2ScdKq]d`Kh`aj8DW
-cdKk[d`9\_`R!#PcdKk^f?hglccaSUd*g7jf at 8$ibK at uKf%/?ud*C%ccI:+be'H=hcHaqbcIC.b
-eBZ at gcd:(cd*^1ddEp1dd*C%ccI("adEp+bd*0nabgFe]dEp(ad*'h`bL+\[dEp(cccjkabgXn^
-e'H7eccjkabgXn^e'H7eccjkabgXn^e'H7eccjkabgXn^e'Q:ed*'nbaj\V[e'Q:eccjkacI:+b
-e'H=ed*C%ccI("_dEp(ad*'haajAJVd*ft^dE0e`ajJMXdF$(`dE0e`ajJMXdF$(`dE0e`ajJMX
-dF$(`dE0e`ajJMXdF$(bd)jb`aj\V[e'Q:ed*'nbbL=e]e'H7ecd("ccI:+be'H=gcd("cd*p=f
-e'H=jcHOkbbLXt^eBc=ed*'h`bL"Y[d*^%`e'- at pdDX#=d*^%gf$VmjakPCpbf at QKdDaM]`6luO
-dF,t\dDaM]`6luOdF,t\dDaM]`6luOdF,t\dDaM]`6luOd*fnSd)FMmeBm!t`6cHBd)F2Vb0/5U
-dFQXhdE9b]bKnPYcd9k]d*'e^c-Xe]da$%dcH+S]`n&DSf$24dbf88Y`nASSg!%CjcH"nlbKRZ0
-i6fd*bfJbhbLjhOhpg$#d*1%of$`'qbK\,Ud`p4hc-=JQcHF/UccObaa4JVWfZqIgcGeM^`7iJS
-fZqFed)a8J^XCc[b1+PQeAoGS`P0L/e(N'seBHRmbM(:cg!7ahbf8)Zb08;Tf@%n#_8GQXb2pgj
-dCHgegth;)]`5[gs/s-:Y/1.:\GrY>s/id1R at q8</^YXlb7,99'bSe*#1!babn:E.)&:+2)Rpe*
-X;i1X-7GN9/#YWus/2p2Ao)rP3;'G_s2)qR]YsT]a76m_m`!H3`mBTjM)[Xq<GI:YClpeuS252`
-/p"$FF0%!8X>+aq2fG]^C8aL6W'5$t3c:rSE3(d7X>=k!2/fWZCp$'=X at 6g(88"qnB<"F7W'tEu
-6#3A^D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)WCi0lNd at F/Lj;Y;C at +20#`WDPf[;RnI[\`o-=Mq"rFid*BqR
-da#b\cGnG\bgaeWfZD)3r:A@\^s16>c.TqKca(I9Yh7X>k1-s-^o.4JY5b`&s.Z7fP*OW=-.3A@
-apJ=,*"q*K(;L(RclEt:'b\A2,Hr=3W$Wd`.k at Vb5l[[Ws0fE:`l at SNXT-;Wn&2j(a1:HT]BRAJ
-kfCBuah-]V^#dAMi5N at qeB6ms`SekShT*IodE:7c_;!8Td*ftYeAon`a3i;Te'Q4dccO\_bL=h]
-d*^(`dEKk`cHjn`dEg1gcd::fdauaff?h=adC[uW]@PBAf$V+\dC\#X]@YHBf?q4^dC\&X]@bKB
-g<[Cbcb%oW]@YEDe'Q.^dEBnabL+\[dEp(cd*'qbbLXt^f?MLlcct+ebLXkYgs40taiWA`c&6jk
-P(._1EbgkiItVofP(JXQJW#D9M0sJmEc,`KL45/EKlM6JLQ-k%GA_nfKR8N)Fb=^TJSopqH\%6.
-FFnXYK6_KeG'/C`H%pfoL4=K'IsHcsH%p`mL4"9$I!LHpI><PqH$XOYI=[65ItWT(J:iK0MKF)i
-I=?d*M2l_"G_:R%MM6t.CiY5[L4t89H$FdkK8G;8MKEoaMM[@SNg"^3I"Hs'K7el!F*34lLiRNV
-NK&pKJUrH+K6qrnFEMkdMiW=:K6hloIXd!!ItNE.M1C/2FEMknQ'lW4G&hYJIXd!,MN2h&HAIB7
-E,TTJKn5;FN,ruZMi!C7Ed*7lMh?V;J:WH*JVJ]+Kn+`,IY*3$Jq8B'It!$"IY*-&L4t#*Isccr
-G^OjcJ:EB6MfNu`IY*-"Jq8B&JUW3%IY*-"Jq8B&JUW3%J:W?'JV/K(K7JN*J:W?'JV/K(Kn+`.
-L51\5H[gNqKR8)sH[L?nJ;&;rJ;8l<KR\]/It`Q*Kn=i/JUiH)JVAQ)KmnW-I=d0$Jq\W)KmnW-
-IY*9(JVAW*Kn+c+I>!#qKmJ*"I!^QnH\HioKmJ*"I!^QnH\HioKmJ*"I!^QnH\HioKmJ*"I!pZq
-IY3#uK7&6%I"?lsJq8<$JUN6&I><<#Ljjc/I=I0&IuJc)NdH8:H at _0'JWG,,NdQ55I<pg"HAd2t
-M10c-IX6g"HA@#sH?F.]KRJc:K6_`^I=??nL44DoEeT7!Jq&T0IZ/r/N.cY;KRSf1Iu&]+Lk:,2
-Jq&N+J;&T*Kn4f-JUrH)JUrB'JUrB)K7Jf+HA-ZnL3nN0Iu9>1J;/8uLOFi7G^+gsLQ[FGO*Z#%
-J:NN(Iu&/nK7AN.KR7m$HZPF&H]if'P'q_=H$bX!I>W#eMJmU2K8Gn3G+EZ#VK at 6UBQ*q>p@#N)
-q7FB@^;0c`_Z.!NPVtIa.4Lo>.]b*LUD"<\.k.k8%+-(8bRb95'+iS)%E]:j`"ia\TU#P\VuO32
-s/`GuCNrN4;-%(W8T'tUDkJb&VD*(i1if?NDO`t/QU5\_0kd.8DlG^8XZ(+!3GPZ[CTg'>YX)p)
-6YNYlB<FU8X?pX$6#3A^D5B at 4UH<@g4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)`Ci3H1rWEj7QCYr$@#
-3,GHUD4=+6NN0qGp&G'Eh:B6MXl\HhaMG at 7bf8_pe)JBas6f(;bJNVd^A?@"qp<.Ra0tTHUAh9b
-Ot7ZK-5sKH,.%jgg*\,k(_kI;'%%L&ckZl.%g(3''u_=5s,i3=Z`F,1WrKQ6s0T&nXK23CcfN3f
-j3c9$`5^K]dEU1XbgsMPf"TDZ^sCNGdF,hZd_OG\_T]m,gWmdkaMH]R_r/VUg;(Jcb/rblc.C7]
-e'Q.bd)X_`a4JVYfZhOic-+\`bLFk^e'H7ecd("ccIC.bf$2Rnbg=tdbh(1Xf$V1^dCn,Y^"1TE
-f$V1^dCn,Y^":WEf?h4`d(S/Z^"^iGgWmLgc+VcU^sgZNd*]t^dE0e`ajJMXe'Q4dccObaak+h[
-g<[spc,nV\a5,%afuh at mc-)#jG=42==%PkA/MU=$=>h`r4#9Jj2G-\:=[kbP7n6-*0eYm_5W1_c
-6VU<>8P^p"5!Vn91I=/W5<:_m6T.>$2FL%q7SH$?<&I!82*snm6:s+%82W_)2+'hj6Uiq#7Q3_/
-78d;S8lI`;9K,4.0/u6e9ijPK:d.3?3''Me2F'8_6VC!M5sIt26r-'58k;TS3'9Vf3(,M[5=%\3
-/20(:0fhft<'s,N1cRcu<*_OK7kuqc8krG8.PjUh<C'&N5XnX24 at h:i7S-<W5=JF=8ldZ*6U!h3
-2a'_m4\8UVAi;\>4 at 2e$3^u7u8jl*>7n6-)0f;<d8NAds7nH]J78bp"76<\-3Bp4u5>=.&90#70
-3'g(p5tEt$7PHhf6VLEC7SZEK<\um*2*OGo7o)<=:,tR13'g(q5Y*k#83&q+3'g(q5Y*n#8i]./
-3C$1u5>+"%8io703C$1u5>+"$9/S^u5"&436Vfm7:I%<E4[W"16r5a$76Eb,5!;P$5"e"%905 at 2
-4$Q at u5>*t$9/o103'^+r5YF(%9/o103'^+s5>+"%8iT+-2aTtm6:Nn#7Q3Y'2aTtm6:Nn#7Q3Y'
-2aTtm6:Nn#7Q3Y'2aTtm6:Nt$6p*_#5<h at s5<h at s5<h at s5<h at t5!_Lu5sme$6Td_*4$uM!6V0:*
-8NB123(- at u6q07*76Ek'4[DCt5sRV$5<_Fu5=7Ou6UaUB3']et9hmc=7Pd1k5=nC.7R]7%6T[J+
-4?ZP(4]+=):HLa94$HA#5#"+'90#403Bp.s5Y=%%8i].-3'g(p5tF"$8jc!K4$6A6:1GV&5X.bB
-2F18*7ThH,90u3S1,hfc5#FL3<&Qs;0K_rp;d_+:5tP$P-nQf?84PZr2+'Po2`j2]5sn"><@pF"
-7T<>;0/,XT5>=^AdEp,,p$U/UcJ-t'dDa5Z`5q]+gYK-?rku_S^VBfMWrL)Us-&M]/h"RW(W-dj
-aq"^:.36J>!5Sp at i@GkX%fijK$aqT9S16 at J/jkCfCjK06BO$L&A<pD8SlTa!:25qaB8K)lO$7NV
-4a*qmFKRfFX?^L#6><SkB<FU5X@$[(6><McCT9L6W&ejn2fYTLEhP at 2TfR+g4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlYD5B^:W(:X(7;B%nBWjR4X?L<n6#)cYCl5pZjmiBN[_B$(hTXQq^>dS[hTEar_S,W]]Dq6X
-s0&O(VQ0ZVR^WVE_?_19(+e8T.G>Rdd3C3@'G at K/.toVjF>ss&]pe`5WqO--s2MS@]WLb=Z2`S)
-n\r)q[B&c=_=,dnlHdQ2bJi5U_;<GVhTs@#d)aeb^spfGeC)%[dD",X^=:QEf$V4_d(n\tc.pmi
-cH*TJd)+etcJ$dfh:Kcub.c`V_W&\SilT'sahm&Z`8\nWiQB*qbJ`/Z`RrJTf?V at dcc+M]`RiDU
-f?VFhc,nV_bLk%_fZ_Rkc-4babgat_e'H7eccje`bgFe]dEp+bd*0tbbgXn^e'H7fccatcakG"[
-g<I[lc,\P_a4SYWg<I[jc,\P_a4ek]fZhIfbJi2]ak"YSg<[lmI<RkB5P>'Vo`+sSq#Bj`s53DI
-nGiOInGi%Vs60"Qq#CBgs8VBXs763ilMU\Ps8VWbs7u]ppA=m]q#C'as7H*dq>C9eqZ$6`s7Q0e
-p%\R[q#C$^s7Q3fp%eX[qZ#sXs697WmJ?kGo`+Uas7QElh<+J+s8VZcs7lWoq>^Kjs8VKUs82fq
-mI:/Lq>]pXs7ZKmnFutWs8VN[s7cQnq#CBerr;BXs7cQnkO/BEs8Vlos6TCXq#CBaq>]sZs6KCY
-p](9ds8V?Rs4ZT3p](9brr;`ms5rkOp](9ds8VT`s6ogap&4p\q>^-cs6T:Mqu?]ns8VNZs7uZo
-oD&@\rr;Tds7-!dnb`@Ur;Z9as7$!enGWCVrVuHgs7H?kg?&.moDeL`s7H?klh:AGqZ$*`s7$!e
-nbiFVrVuEcs7$!enbiFWr;Z<bs7-$eoD8LWr;ZBcs7-$eoDARXr;Z9]s7QElnbN4Ws8Vfls6oga
-p](9_q#C!_s7H0foD8LYqZ$0`s7-!dnb`@Ur;Z9as7#sdnGN=Ur;Z9as7#sdnGN=Vqu??bs7c<g
-p\=d_q#C*`s7c<gp\=d_q#C*`s7c<gp\=d_q#C*`s7c<gp\=d_q>^3ds7Q<ip&+j^rVuNgs7?6i
-nc&RYrr;Nfs7$$fnG`IXrr;Nfs7-'foDS^\r;Z<cs7$!enGWCTrVu<as6]gcmJd.Qrr;Ngs4HT7
-n,E at Xs8V9Ss7?6ip&G'Wp]'OYs6'F^l2UeJs8V?`s69R`m/R+Ps8VKds6]jdmf3=Vrr;Kes7-*g
-nc&R[rVuE]s6B%Pq#:<`q>]p[s6omco)JaWrVu9`s763ih!Ft/s8V<[s6fpeli7"Ms8V?`s60L_
-mJm4Us8V-Qs6fpeh=UX2s8VWhs5ie<r;ZWns7?0]jknS's8V01b-^$Pa4%uCf#5G`bK/P[_Wf=e
-m*3W6_7AI4YPutloYe?0]<J/L at WaacmB`_jagmWt. at Vk+TcFWP*tlj>(W-C]d1IAI(b<`J3k-A)
-UbQ,<6udWSIV;u>=Cm:fCm%J)PYGqa9PpFkC7db*Tg<Ij5Ad>\Co9 at 3W]G$t3,b`QEMkU5V(d"d
-/U!gAFJ1X4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk5&I,eC8jj>W_$j*7VAklB<+F6Udo6g95f[!g>Cudn)<?T
-f#=oY_R&[:XoHD`s/r^.W1ot<-`A44]c\]T+"u at _.G>=]edNhK#9^ko,6*ans1GoA];jo0Vqp%4
-d+YtSe\f;H^!"^=aiqT\jOqAe\B;t0kigmB_R\"9^u!\fccEiQcc4GV_;*J\dE')ScGeA]`7N;R
-f$D=dcc+D\`RN8Re'Z.[cGIrV`Rieef%A0cahGj?^<"U:e'Z+ic+r;]^>I/KhorgkbeW&Z^tm8N
-gWdOgc+r&Y^tR)Lf[%@bd(n8[^t-lLf$D=fbfn_`d+?Lgf$2RkcHt%dd*^1dd*U.dd*U+dd*U.d
-d*U.dd*U1dd*^1deBZ at kcH4eb`RrJTfZqIgcGeD\`RiDSf?V at dcc+Paa4ASUeBPn^d`9e]_q*8V
-I=QN,:efsHrsL57!$*s/0NJH,;[=[F,<B<P.7ssc1E7c('-8nJ.74(I0+oU))D"br(crlg8LlMq
-)BVBd+%[1b8/r^L#R`m;+''@'<#cuZ*$8&u+Aa%#:E1KQ)Bq`X'f%a>@1aYD(FMHc-UA"R0J,:^
-&KN_D+>t/c4<5_1$POp)+#Fl[2^Kt?)'Lm[/3ajp2[gQT#T"s)+>s]M1*nYH'I,XS,!$5T2]F,1
-%NIDT1/Jo=7N3[B(*l0e.npTu5mJ)^+YZb:/l3B48/`jI&0F.U-V5("7MmFA!"(4n,tA[q72dOF
-(Eu$c.68%Y,Te?k'cetN-pIkG.N0O"+=^)%,=rXr8JWRC'dZ?b,tAUq7M at +:'dc<Z+?gVk7i3UE
-+#$G50Mquh1_Cir*%af!,t8Ur6l%(<'dc<a,t8Ur6l%(<(*uEc,Y&Uq8J`UC(*lBd,Y&Ur7Md=>
-(*uEm/PR067gTtg(FMKc-:%nS1)qc4+"g2&,XrOp8JWRC(*lHe,Y8as8JWRC'dZEe,Y8^s8JNOC
-'dZEd,tSgt8JNOC(*lNj+\s(#:`LTS*$A&t+Aa%#:`LTS*$A&t+Aa%#:`LTS*$A&t+Aa%#:`LTS
-*$@rq,"*=o5T1k6)'hNa,si=n65(_5&1BjV-peFn64PJ3%OsdT.7=Xp6k:_7&1BpZ-Un^q7hR.?
-&1:$\-;+js9+NCE&11*k10Fr)72IFO)(SPp+%$PZ64tA,+"pJ".Rj^p7L:S5$S+UQ.msdq6k1Y6
-%k0mW.7=^q6kUk8'.-*\-UJOp65:h6(*u9j/4^j36k0qd,:Z)$,<[2#6kg\$*@X2d+u^Pr6Q7XB
-#TG<6/jBdf0a/CA&LKL<)))LM734Ql"X?/1*&J0V5pABd(FhK^,V^Dj0GkcMiSN8frUe[\\c;Ql
-jO(j"cc4nncfj9=g!Ijpe'#qQ][P3Hf[\9ncc=Sdc-"5IcdKphLjqNO2TjCdcGmKZ`OY]SXoHDQ
-s1#<5O,VXA0Y[r.^]YCr%kG=(0WPpJS0LF^0i!<a=+*bNI8t6.9mLb[L1jqQ>%<RaBp(`"R5o;Y
-1NK'DEhbI3V)<7h20#HLEhtL3UG-eb0ls*LDl#O5V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk5Am8^D5KX7W'tBu
-88>+qCnaL>PY?(L^>@W1r9DeQYk>u?s1u;HZ+.[i1!("VaV>l8(`:7:+fZ(`V]6Sc5Wf"6P5i8'
-s2;SL`Ou6!b1<r#kK_-0d`^1\^Y$lTgt:65gY:<1f&#9?aN2B>`l$ZkgVq4MfA+s&e'-=qd)3u?
-dFZR\bJ2KZc-Fe^d*U4gcd^Fhe^;[mdE^:hcdgCgeBcLke^iHmaNM`OdE^7kb0SMjiSi5=gs"0j
-dF,t\d_O,X^rk6Dak+8Kf=oJ[^<b<CeBu"^d(\5Z^=plHf[%:_dD"#W^<tBGeBl7ecHF_`bL=h]
-dEp(ad*'e`bL"Y[d*^%ad*'nbbLFk]f$;Ijc-+_`bLY"]d*ftZe&BS\`QclNc-sYXe&BY^`R!#P
-cdTk\e]6"b`QcfJdFH:^dDOA^a*N;^.m?)]s8NNZ5Rf>A"=@%K,?>O8B)hug%NS#!6Y75[4r>A(
-*%"5t/6*N=>R2BH.6_GG&3:+;7gU,-)Co/3.:FASD&Y!>&0G9k+(,X%?k=Ge&0P0g+^#@"<tHQR
-*\^Up!@&4$6Q[sX'dZ<^,"!S1;%Xp8+"g2./kZEa0Hr2D/j*2O,sMt^2]=)2$61l@/k-d37343V
-)(J#f-UJ:b4UW;n*A(#"-:\k"9+`C?"r0<2+%Htg9,8pP#T6&W3+EaQ;udRq$lqnK+A3M!<":'F
-%Ne=Y-rU^%:,Y[c$lqnQ-;b@!:)"sE&0E_h7TL<N2\R>r)CS#q/5I<;<=U!?&Kt$`,#f*t<":-N
-%O4j\,Z"pq:^n[F$mA:Y.9$`u9aMk4!"qO2.9%TPAH`u@&0ap\,>Jdo:_"^F&0ap\,>Jdo:_4gI
-&0b'b,#f-t<"L6O&Kt$`,#Ajq:(SXF'I?Q[)*ncV7iO*Z*%k,!,!uSR3tiu8%O4d[,#f$r<":*O
-%O+j^,#f$r<":*O&0b'`,#f$r<":*O%O+j^,#f$r<"1'P%3f!c+^>I">R_i]%3\sc+^>I">R_i]
-%3\sc+^>I">R_i]%3\sc+^>I">S&#_'HLKp*F9F#?5"Ad&0P9g+^PR$?3qi_#pWa],[L[$?3V]^
-#:*U\,[L^$?4%o]&Kt-f+B0!s<=pBS%O+s`,$>@!>7Dc\!#86G/S#MC?N:[-(FWN92er^;9F)M1
-$mJp_, at Cg&?j\)c$6ijb,%(a%?j\)c$6ijb,%(g&?jn2d$mB'g+^tj'@LXMa"rooS2,P;>6l$_'
-,pc&'*^1Sc4WYb3(*G[H(GQjY5p7gK&Jm)I-9s.36ms?L.5=g3*C0fH58c1U'.Zoj,tnjl8.64s
-'cB4i1KH"W9$kfDs7lW]h!b."p#!sD`l5j5b/2?Kah5I$f%\`qbf7rWc-OndaNDQKd*:"ge(NL0
-JUrG-0J_PCiSrYJf>bSZ_7\jL_rnqTn]&hCCNjYV9o2SVMF1g03`h at r8=:qhUEh at m*Z_g4'YPY9
-\gU:U2/&@IE-bT0>%W4NF,;VsO!o:</9mU;Fe:U4UHECi5A[/[Co9C4V`Sdo4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UHEFf4DpiRDl#O7VE]'r7W4bnCQ)S2Gid<(s5`,<d`@@j(RYdC]H&3)#8YK%.)HuL
-WtcEMX/>p.ZLj`Ns3SLPd(7iJYL(J#bKd`Sh9XHp`nJkef>u.b^Vo9`g!7RZ!rr<'!!!0'!W`9$
-&J,H"d`obN_:-u]`lZ*?d)NuF^!tc]aNhTKfuh[lcHsqddE^:kcIL=fe^;[mdE^:hcdgCgeD]EL
-bg"JVbK\>\e'uq"YdCglhVZ;p`lurQb14JPf#>V\`5UBI`Rr,Mf>>b^_U-cKeBu.bd(n8[^t-lJ
-e'c%Zd_O5Y_UHoNe'Z.`dDaM\`R*&Pd*fn[d`'S]`R*&PdF#q_d)FS^`RiDSfZqIjbf/2Z`R*&P
-bgaVUeA]Y]`QclNc-sYVe&BS\`R!#PdFH:`e&BSZ_p[&TcHsJWeAloeG;hlRmf3:r,<4rfrrjZG
-%PD/s-!V`XD<^iqhs(1)n,N([s763i!Ymp7/7&Q+<QjP)+ZsBJ.Tm3.=;NZ)!#SZ8%Sd*E?4J8q
-%OGg!-#!i8BFZA"%OPWp-X[K5>8Shl+uEQms8NEG63eAm+uEI'#VPQFs5!/DlM^`,1/n;f1C"^U
-n,NFKp&FI[rrsE#&Lg'W-:6hms6K^biq`Tf.SL^5<8I0G%O=ad/m/H#8g-*(k5,)e+]B%%=W]J7
-!!+tn.q%ZBrr<^')(oD++&j+1 at h9qi%O5'i.:1$Krrj<:&gpoq-!Cp/;X+&Xh!P.$o)J4Zs7$'g
-!u*s;.pEK*<>$Tb&LCfr-=@B3?k+Pl%OYTm-smE3>o55+#p<7c04b+t9'QBU'eEeo!]V5YCChk!
-&1:`p-X at 92>nAAh&1:`p-X at 91?P+Sn&LClu-"7H4?kF_m&LLcq-=%32=V)o](+`\Ts8N'75QDQb
-lMpl"/QNB0;[k-^%4>To-XmQ4 at La_o%OPWr-=RN5 at Lskq&11it-=RN5 at Lskq&11ir-=RH3A.'bs
-$7KQq-YNi8BF?2$$7KQq-YNi8BF?2$$7KQq-YNi8BF?2$$7KQq-YNr9Bb;S,&gD6+,B",<D[n%2
-$RK]u->s5<D[@e0#q'Qr-Z'2<D$q\-$RTWu-#F2>BGDb$(F*9%, at D32@M'ns&1(ou->!]6BFQ5"
-!#Sf>)Hmt3DB1HL!!Y_ at 5^MD^rsg>g%4,d"-#3r9CCVY+%4,j$,]*u:D%.e0$RK^#-#X/;D[dt2
-$RKa$,]F2>BHB'B!#.?PpAa^_s7cHkpA4g`r;RNR66IjUn,E at GnGhnQruia["UHP*,Y.Y%s5E#<
-p&4n(+\3Cu;<@TQ'-p?f+\a.2<[K=s&/71kn,M+rq>^?lbJMm2mf1t`f\+s0e(`7$h:'Hi`nK>&
-bL"AXd`p(abLb at rbfn5PaN<)cf8>9=4ZGRObg=&1\)c,kk1J;:c-FJSbg4ksFFoK)5>b^&K4/AE
-C0c+0<,R[h@\Q"[XXc3<+="W?,.%t4YT,d&.nGpb;h%;HDH_*eBnK&tM`YpB1j#0BF.Y=0UH<@k
-6#*>fB<"C6W'5$q4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlYD50I6Sipq]06Ed6HCud8Sih%X>@)l388J6j\C;lp
-eeKU_'ckC<+0?h,U.@!5\=`fH_#NBGn&)['b.d,d_UHE0ccEQHeAL/#dDWu5c,mc[f[JQualLmu
-iQ03r`lHl^cf<g3gX==O!!(p/d*B\HkMFbBd)XkiaOnq\i7Q6-e&LA"bh(4We]tnR`OOOFa4ASY
-f?VLhccObaak"eYf$DCfcc*l;[+WpKjknP at f>tnEYTb/#c-!ZJd`'P\bK\J\cdC%adEL"bbgFe]
-dEp(ad*'e`aj8DWcdKk\d`9__`R3)Pe'Z.`dDaS^`6m#OdF,t[d_sM\`6ZoNcdThYe&9S]`6crN
-e'Z+`d)=P^`7WARgWd[jc,A2Z`RN8TeBl7cd)XY_a4/JVeBl7cd)X_`a4Se]f$DCdc,JA_ajnVS
-g!IioI<A1R6i$TX(*,'pq>UU86OtJD(Fret)+X8ts!''d*[s;\(+]q>4mE"H!#n960jWl?rrs`@
-"!C2<+&3J%@hC5%#9dCn20TERB+#tt$RB<l,\.9/?je8e$RT-f-<]:"s5!2EmJm2"-;b6r9G&OF
-mJm1u,YSdq9G8dIg@"tp6tbc_rsg5A)D4eh*'ENdrtI+[k5YGf,XMb\6NS5ll2Ubf+%YVqrt-\_
-$mSac.UE5s;<%EO$mJma,$P0i=;3<"&h7K*.:ii1?3VHS%jtif)-%+l at 0du\#pEU;s8N?I>R)?T
-&1D&s,#mt0ru<^`(FhrX(H;jH9'cNW!#80C.V0)7A.0\p$RB?m,\@?/AdKbo#UX'f-=d)o=Ulfl
-"WgtV,%;*4Bb;h0'.dr%**`jsA.'Yn$RB6j,\.9.A.'Yn$RB6j,\@H0Bac5#$mTHp,A.E0Adfqo
-$m]9j-!gj#=Ulfbdd6uR2eF$gACBlF%Ok?^,?"jpA-XGq#:=-j-#!Z2BaH&!$R9?n,A at Q2Bac5#
-$mTHp,A at N1BaZ/"$R9?l,\IB0Ad9\o#UX'e-Y*K0A-XJm#UX'e-Y*K0A-XJm#UX'e-Y*K0A-XJm
-#UX'e->!N1Ad9Yq#:='g->*K0AcsMo"=Rda-Y*H0A-aMm$RB6k,[q9/@Ls_k&g:]t+^bp,?4\>f
-%jPHl, at V$+A-jPo#UO*g->*Z5Bc&^O%kDGr'2f5a at M(&#!#&':,[Cd)>6uZ]$RT-c-X@*,>mVia
-$RK*c-=.!*?jJ,f#ps*e-=R9-A-aMm#pj*i-"%'';]dr0j88i`,u=R\7K=,b+['BK.T50trrj?.
-+?!L7,=pGTs"-ZRjo>>^(-*Hc9bJ:*m.(*%/Q1p/ruj$n!>I at 72GjPk/Kcc8o`+sPn+HANqpX3G
-s8Vf<beVTJ^=19 at gXF6nbJMcP_Tg$2eBPn^cc+\gbgX_PccEoPcGkH]FA,%cinN#Df[eH^^#$`L
-grddqe^M^fc?P/$,X4apFFm)&L.Q3?;/28#BpWOBP\sK[FA%7?8T08817Kg at Xs,I-(c9)E6c(!J
-Xu(!R7XS`QMEu-F-[D:+I%r07W&eds:L^J(@B;e1V`Sdm4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4DpiWDk/q/RP/cR
-/pO!FFdl0<ML\31V_1cc*'VLI,1Ho at a:]TpVlB^,X5Ua[jP%&gaL2'Jo at 24.b0%HIe]?7mb0A;P
-c-XGRcc"AbcHj_Rg!Ipma2[2gdal4NiQ]Tsb/DfS`S8nb"onYTd)OtqcGmW,h:Kisb.cNT`S8e\
-eB#;Qa1g?S_r/k[fuq1`cGeD\`RiDSf?_CecGeD]`7N>Rf?_=fd`((pa3Vi:eBPVdh9?0)!9W1`
-cHElJd*0k`d*p=feBZFmbg=tdcIU7ceBc at cdEKqbbK\JYc-je]d`KnaajeYYeBl7bdDaM]`6m#O
-dF,t[d_sM\`6ZoNcdThZd_sP]`7*,PeBl.ccc"J]`7WARfZqIgc,\G]a4JVWf?VFgcH"P^a4JVW
-f?VFgcH"Vbak4kYf#u%dccOb]`S/Y[Km\#+2D5%/r?*:=nb2u.0No29;@+./)^nVOq#;!L2&7Dm
-,W/!s+#_pMrsLDW"t*71s8N9G6Q\<p#U)eF+&*P(?j7WM%3o*f,[Ls+?4J5d%OG<h-!:^(<t6QX
-%jb0l.U!E/;==Ja#9$#N/QiW0:@8)]%3S1X.T-^!7ca at E&0sd"mf+Cd<=L*<%OFO,s8N?J5Nr.I
-%jspf1KOo-8E^!P%4"d8s8N<E:(&4D'e<Q%-X#O,rua45"rpAH,#f$t<XU'L#Tce]0P(G-:_Y?d
-&L^rq,[D-8A-!KDjSJlp12[+1<>R<($6W7/qu70M2\76!+Z*1**(8fYrt?b`%O"sc,[Cp+>n/,c
-%O><g-!^p*>7;f`$mf0i-Y!`;AHa#S(bfb2*E`Xj>R_ob#pERa,[Lm*?4J5e$mf3i,[Lm*>n/,d
-%O>?k, at V0.@Lj\k%jPBk,[Cm+>7Mr^%OG6i-sd3&<p0M_!ut2@*)bu"rs'ZI%Ob`k-#!T1D?qM)
-#UF6n,Adf5CC;A$$mTBn,A.K2Ae$%r%O5Em, at V--@LaYk$m]3g-=%!+>mhu`$RT'c-<gj*=UQT[
-$R]'b-Wpg(>72c^$RT-e-!gs*?4/&e#prsb-X@!+>6lW]#Uim^-sHp*=U6EY#q/j_-W^^(<Y$KW
-&gUEi,?,F&;AUKS(*Z]k,?>@$<t?QZ%OG<f-!^m)?4/&e#ps*e-"-ot=UZWa$6rad-X.65>6uBJ
-'e<Gt-;k7";@Y$O$n"p_-Vt4":_"jL$n+p\-r:=";@FpN$n#!_-WUX'<X^<V%OG0g-!13a8Ep0S
-%P(Td-W;!IAH<rH!$+Mdq>VBh>65X-'.ZrDs8N0E7HFLK$n4ac-qPC)7e-?T(a26:s8VE]ruNpf
-"s#?90g=k#s7$'gbLY&;s7X:N[/0gfcdTPZe\oq[^=CKDg!Rald)Okja5>Fjf?M4abei#X`8/na
-i7?,&G&9l<37,[Yf#bhof at A[$b1"GKgt0rf`P$\]MCM.f7rNZ at EeunrOZ@6I5&@,_C90d6X\!*-
->\0FMA8dT3<MDZLXW]gC$ouH:5/\(-V]o9&9mg5ULb<q;*.OS-Gc*K=XAE?/<*udqBrF+2V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)NCf1OboBDic_dQ;2:m at qh]e89qZa4NJ$TZl^Ht2`:W5V#Rd-m)[E2eBuggZdd(#
-g!@S9qXN:eb14eWda,q\dDsV]ajAMZc-seZd`^"bbL=h]f$;LnbfnncbhL=bcc<u[g=+HsaT)>A
-g>1>uahlQ\d`g+]c-jc8!<<H5":"u.cbmZQb/k>#":tV8gsj`tbf9ec!!<3$$jd%>!<CKk`n/_b
-"p4i.!<<3%!8H/P_S<S_!!!iN%*-<"#mLFQa26T^d`fbLg="=(f$i!ha3`#Me'Q:ed)j\_ajJMX
-e'Q4cd)je`ajeYYeBl7bd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY_a4/JVf$DCfcc=V_a4ASW
-f$DIhccObaak"e[f$DIhccObaak"e[f$DIjdEC+eajeSUf[7mlc,\JabCY.d84c, at qY;*R/1E2E
-jQum`+AO"+<>d#OlhCDt.QS at o1'A@:+Z<!Xs8NBJ8eECK%j=C2s8Nf[7h$J'&gBg4r;YsRrsp/@
-jn/Qs0j4br54ALN&g9dZ,"_;(rt$8A&Kj^`.9,g:rsg,C#T#`D.oYX,rtm4\%j=@R,Xq/$rt-MC
-j7`Kh.n1!m4VK2.kP5&s/P5:+rsBZ,*\L=u)FO#nrsBT3(a`8LqYq'H8fT?^)(8;Ms8VE^s7$'g
-lhUPf(+pXX7.1!Q*%FJKs8NWO61FpSmJm2!,>T=5>m2$9li6u!-sZrm9bJaKk4nrq/NXXm3<^-N
-,rAWgqYq3P8/<IB(*lE7q#BIJs7--hiUHjh/kbI(rtZkO)(/Ab&ju0frs]uDlhUPt.9@'%9,8mR
-&Kj^]-;j72s5<JJlh^W"/5Qp$8+$6S*\15$)ailaru<O]#T#>es8V3Us60=Z'IQ`['h8f[>n.ub
-&g_0"+Cl9>D[7=m$6X-p-$'J=D at n.5(+OA0).!@[<?3c/*\V.3(eb\m<Ug%gkkG,?pAYpV9BPsJ
-jnJcs0j+Sn4!$(Tiq<?6q>]m_rt-ME'.-38s8NZU8KKNgi:6gZ+]K1&=V;oY&gL02o`+ at Zs4m&B
-)_FqQrr;-Vru*I`'-fm[-:I"hs6'.VnG`G*-UALl4RN%Gmf!1JpAZBp=Q8lNlMLSm+\`Xs;\g]]
-%NeCU+ANt2>2AZIn,ND,.ng*^1 at Y>D'-^$7rr:I,s6fpeg?S\Q.7>418`KIDmf3==li.nW8/*I>
-%O"%N-V"F]4;fPC(ai2j)bBJts5WbOmJd.Qs8NQO8.m1?lMCN'0N&<!4rGeAmf*4i(cLg^rsg8=
-(+Df\)`d9brtd1Tmf3=LqYq-P2\mf"&gJpqrVu]ns4cJbq>9R-dCoS[lJ1.6cdTbTe\o_^`6ZoN
-d*fn\d_sV^`RN8Rf$D=gd)Xea`RrJTM0sD83\oO<aOSMPcI0YTf>bn\_TUTP`n&7SM1 at 6I7oO8P
-9P]DSCQh,$Sj at 1f5&@/[D5]O5W'>*n88+DjAr^>/K6UI<P"/cS1.S_l3j')SV'o5n7VkkANA,mP
-.<(_8Co1$A[7t&46>EG\DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]:3Te(5M0Q`XHFe)cLQ[M/JR35PF&Mh?K/H<8b
-s3JI[gX><7cGe;\]$JOOf#c[m_:R&Ts82K at d`g1caOAGUe'Q4cd)j_ab0eVYdF$(`dE0naak"e[
-fZhOlbfSS_ajS>PhqZi*aMSi4'?A>:fA>-"dE0S^c/@aD]"bl,eC)[fc4gWriRQTg!!(Ba`mi>Y
-!<<,Fc,o&,hnQn:"9SYVf@'a#!6iX,d*Knef$XR!!9N;"$OR*Q^:N.Uf?h^]cH3uVe'6Xud)j5?
-_S*G7f[A^4e^VpeeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]
-d`oh`dE@#gGqLs,q#C at 6,;g8Y46lA9-7iC:*D?hW4nAXQmf3=Ts8VTgs53GJ&0sa`.pEuE>nnYW
-mf!/+/5$j/7i*L at k4S`u0i/W37.'pP&0F(]1K*cCrtm+Q,rAQQkPl;E8/s-\$6)S!p\tdJ9cbrl
-%j4O5s8NQO7NaHg'dlZ,li.YH7j^6!i:I!+o)InMs69 at Z(aq]2oD^-p<"^<@(a_uGr;RQY:`(KU
-l1Y,i+ at dG&:(A:,k4Sa$2GX;_,;)#Jm.UGo*\I'brtm%?i9^L2qu7HZ6Q at XOg?S\W/QE<*:#>LA
-'e3?!-<M*8<Ug%gkkY8Ks8VWhs5<>F)_"Mu,=s+6;Y'kf)_+,h+ugSm4nSdS&g&n%s8O#b6mslq
-"qs/cq#:pJ7e-NY%3%PL-;,'u7N*^Jn,E=r*'5H';'Rkklhg\n+?K&mrsKT!-o"KZo)BOQ3:d+L
-%3I/A/j^*m45f]0-ou)f1N!UB?jRf])_H14&mGkjD?_(o&LVW,*bPHd=q2]e+>e-W/7o&'9EGkn
-,r]0F,Y%(prtctH(*u*/qYqWi73O?Zjn/Ql.Rsme2BFJ>(+20Q*\udJrsp5/nc/V*-:8%T3:[%K
-*%=kt)G2)&=;2oHo)J_+,si_,8aH3P*%F>c)`@'^ruEXVn,E>#,;UW'71'q^o)J_%+YN'VruNg\
-'I5j$nc'^b:'MCknc/V,-;Y!a5TD4O&0=:1s8O,l9F;[pnGiM,.m<4qrt->>+"^G>2-9hg/b/l@
-%37:ps8O#i3tW\l)_F/;r;RKY3q<7Mnc/XXrr;Ngs6BCZ,;<<QjSp2L;'e#%#SoMls8NWO61FpS
-&0F(Q-Unn!6g"+B-8nZgs8NQN3up(R$mS.)s8NQU6K at k@(bA)Es8NcY1\LeJ0/u,_o'tJif)PdB
-dE]N&o&/6P_U$]LbgaVVe&BY^`R*&PdF#q^dDaS^`RN8Rf[7akcGeD\`J8k`76<9Zd)se^_p6ZL
-cIU%ZdDaG^bKSGZH\I215tY0nJ5'd988FJWCn<h-UH<@i3,bWQE2, at 2V_`.o2/KH[D50p at P\=EQ
-J5C!K4]JF68?a'tR4Cg?=CjsBIl))'2fG?_B=(<@Z9`6*4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlYD50=+Rmh=g
-4+EJt@<SOj:V-s!SLIBn8m^f5eGoOAf##AZccs>W_6qInini/=d*0ncc1q;7d+-Ohd*'e^bL=h]
-f$DIjccFb`a4eeWg<IRicGJ;\_V3;Ng<RLdcGJPkd`]JBg="=N!!(Biahkm-eCDpldEKMH^D\%,
-!<<*#!!!-%!6W6u)\Nh:cd:7kcN+"Ga2Z!HeBldsd0BjWaiMC5&Iea@!!`]0#m^Y7!!(-^_uTi<
-iS`M2`PC<^eCW-mgt0rk^:<:_g>(<-ccX2Sc,\>[ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZiIsO^b<:g.i&0*MQ/l`>s9()HR)C8T30O=2Jrr<Z`
-*A^:h(bcII7c3k<'IdDi&On'+?iUfpk5##h,X`.e6L=aP!"1:q/PY[5rsTu6dH(<I02M$9rrj6!
-mf3;$-qt-m;%=aPkkkAu/n5G<=UZEOhX^[].Tm3);%b6UhXgab03A>q6P:eC+uipB.80+/rspA8
-mf3:h(GZ[P7fsMcmf3;!,>/[r9b\pJj7WEd-V"dr614dQ'Ic3f0guBe.dd37+>?(Lrr3KO2!"</
--9"d/*BOfX7IC-T"rouM1L1SA<T3cR(GB+q(-q3crs'N('.6BV)+,2g<nQX9+u<X-%6<\Jrsp2:
-)(7u`)`ZmKs!]p/hsULR)a5)e9Hc2plMUYu.8B.,rt[%U(b85f+$C;c7G[M6mf3=?mJl,:s6fpe
-&LBRT-U7%ts6]aa,W&4'*&-RPs5<VNm/R+Qs8V!Lrs^5M!!ke",\%B5C'G\e#9RLl/o_ggGlSLW
-*]J9S.V0;GB$TT>l2Ubi,"q/!s6K^b#TYtjs8O6#9*uapnGiLn)(c1:2spYF*AL/!-9gYls6fpe
-h!tF4s8O/t71pt1k5,,=p\t7-2]OGLi:6j8s8O8u;r@*E)Cn;g+?J6Brt-J;.Qg]!s8O5u8(m8-
-nGiONq>]LKs6Tdc*\onJs8N9B0Gc6/m/R)$.7kF/:uLpE&0aa7s8VNertHeT%3It$qu7B[6kUh1
-*]$:Do`#UQ8-Tnp'IHH?s8Nlc7Mm[Ei:[-;s8V<]s6fpeiqNHh/3s7M/K$*3(Fi#a*BjlQ65M(H
-)D"c%-qjUO1DVE3h=1FT,!b2^rsU#3)(e;q/Oe[mrt[+MiqEBs3Dg>571(/+h!k=`0N$Zsrtd1T
-nGiM$+Z/N\ru`dIq#16<d*M.IkhF_7s8MW?c,/)X`RiDSf?V at ecGeD\`RiDSf$DCfcc=P^a4A\\
-eBl7bd)U`fG!8)HeC;^jc,\P\c/Hglho3n$ajf.geVJX63'C2?C558pO?@KL20,<GEhbR5Tf[1b
-6>W5XCnih(Z86@,4))&lB<kHIZ!(Y5?"JtD<c5#c400>GM**V1 at 95d:H8K]/7qf(s at C&77W]P*p
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk6#3AkAuSF>Tf at +E=&`D6*]hLb6AeENA7g1uajBe^s2MRfjjr,9gVh1\[bB-Q
-cc*oNda.^gps7O;bgFSZd)shaak"e[gWmmrbf/G^`8/YUg<RRdd(n&W^sCNGd*ok]bJr5YbM1 at h
-'+"s!dEpq.g!7^Zd`oo:!!(KobhCb#d*Kl:!<CQqblIeEe'cO[_nQ`n$eEkUb/qWJc,g>##1(T;
-!<<,Qf[S$a`6$*=gtUH3e^53M'>;&ge^Vpsda#A/Xk(nCk2G(Ie'5nK]@bTWf@%mmccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]IXZYn1Hb7.rtZnK
-(F2g#/7e8IrrN[&'-gT*j8UMl at 2Uap'J2uk.8o7(rt?hm'.IDk'g<0V8*g3T$6_\N/PY@)s!Bm7
-&1:!#n,Eb>6L4[O!#7BRrVm0H5j/.H&LU<l0OY>5<oj)V$6`=R*`*Cr=Qoba%4+pa-W:<p:#PdG
-))>A$+%Qki9`Ptm%OOa*q>U^D2;e0.+#d%,,t'(C?/te]!>dj1-VP+#9'cNW'eMu_+?J?OruX3o
-!Z<L'-TgSirua'fnGiM&-p[/!rtd4X&19sf1KDiertR.e!#e0:/R$Ngrs^AX,sZ7olMhe[;^=J7
-&LL?c,ZF%/rsBiC*%tLNnGa:U9-Q5l,<&NSmf*_=548IN'duW^+@?,?1?ec<&1:'1qu79X8H9J^
-*&LJ%-:7%ursBr2#U),@/OLU>9FE+*%jaC+s8V?]rt?bH'.6$3s8O#q7L:7u%k0me2-CJ=<Z*Z+
-!ZY8T/8P\ABE/rT#UX-`)d<UrB)iuX!ZtV[0PC_:=o]L7)Dtt9.T6Qo71CP5li6tu.n'OZ1[Y5B
-&h#s]/P,%'rrEulli6tb)(H at S4r?%@htd9Q)_)UW60nRNli6u14'Me)4r>nP#Tc>I.7iLorsBi/
--TtJss8N][56)<Fm/R(c(FebOrt6b@&19CZ2an<,2A@]%g@>1R,s;qn8Da%>'.QZU%lESOruEn#
-!"_3l'0ZXA7N!jY'IuiBs8N'6/Kd&LiqiZk/l363;;h3K)DP)$.7FF^2WFW6(,&#l0guKs3=6uk
-))4eMs8UdAs6K^bkPkMGs8Nrj;@Y!C$6_bK-qG=6;sXJ`%OOO.s8NQU5Qi&`(GJ>As8N':/a*06
-$R7e>*^C`%>3u:h'e)oFs8NNN5QVTPo)J_$*AAK\2>dFRp\=^erVk$^`VK)kgsO="bf/>\`S8VU
-g<IUjc,J>\`RiDUf$DCdd)X\bbL=h[dF$'cJ9X1 at 37?@&dEThhaj&kfdbr'jj2fj.aP2GsPr:a0
-;JM:[D43D'TeUSd0lj9QDl>j:V+#-m6Y`;XEN2$;Y<QX,6"@PoA\gWI\ib#, at Uk"q2H[L+0;0jJ
-LK%)GEca!ZNBM'V5A%/_CoTR7V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Un6u95&C8Xd9H>#rIVCjR'3'D+eD,PG,
-_q*oHrr:`kf^R8Bj356td)"/J`n/Mbf?hV=rU/1c`QurLcdBYXd_sY^`S&SWh9<jobf/;\a4/JV
-b14PKg;g_[a1g<MdEp(rdaQ[a`<lSFe&B;^cd1+^aPbRt$NU7N`kp0Mb0.rH!!*)Je]n0u!8#rR
-f%8=\%LU1n^s^WTf%&.K!!'gL]*\iJg"=g!bfIuM`X<+X`l5ap!!(p5g=+Kpf@%t5lK$74_pHTG
-ai(pBcH,)(g!Ip]eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGS
-f$V[hc,\D_bC+kh9NYo`n,F.L9Fi4A$Q<"_-u&)Irt-M_lMpkh+ at m+r;#h.d'JEeNq>UF*:D#$e
-)`(n')*\HP8F$6T"<9bZmf*kJ:Bhk.+ZWogq>U[A741<2%OOm6s8NBK7h[IP!#\',,"_&!rsU;M
-'.m)l.o"surraK2#p_hN0M^m4rr=#sl2Ubl.RY"*9+*+3iVicn1J$^/rrX9"%44IR-qEJ#ru*Xn
-$6hqM-V4[k6g4RM)`:IEo)B at U6P1k8*&:.Iq#:=*/*Qs3&1'a.s8N'52 at h61#9cRts8NKU:_kim
-$n50]-</^mrr=$,kPtPq01Q3i4oc9T*&LjNn,ES564bM7li6th+#=$=/Jg$'kl:Ym,rOlartHqL
-&Lp?:s8VBars0`6kPtP`)`f0)=U$!1%k0p0s8NKS59;d[#9c(cr;R!G2sUGC$R.tI+ at Y;`rt[4X
-fC8eO.mORm57Ao-g\:^J)FbJsAem1>!#8?A/SPG9 at 0Ilc&MA/4-u]D;D$qb0$n6$!,\7-&?jS&a
-!#JBL2/!UO>LVj:)),;',"pnhrrX3)'J2u6p\uF";s+,[+$*+"+>Fcl7bRG6*B6XCoD]+A4:3>u
-h=gj`/Q!HC=UcZM$mS.*s8N0?2[1<ali6tb&hG=l=6'2X(bnPCs8N]^58uIL#pV:`q#;'^53i1J
-"s>uM3EXl#rtR+a+us,prVm6L:*)9$(G8l-/m.?;rrX3)&LgB<s8N'0.dI'6&LgH>s8NKQ8-^5&
-%k'mZ.n8h(rrsT+!ZX'81JI*6rrF#u'.Zij.8L-g7MRIS&1C3X+@>,crt?nW$RA(I,X^YkrsC#9
-i;3HV*]Fok9+WR=hY@*n4&G5Brs0f1&11$_,u<e'rs^)Al21Ju.o-^!61Y'U,VVb'*&%*ds2;q*
-s8N&Me_'p#rS#WDg<I[mc,AA\`S/SUg<I[jc,\G]ak"e[eBc7ed`p7fbL+\[It2i.4uq*Acd'kZ
-d*Kkbd`p+`bgOnibg>-hK:=>V at nUU+6#3AZD6Gm8[l8-53bu2gC:-BAY<m$"7<F\[E03\$VF=q#
-4_M;dCpQ<BTjh>iXZhBC(L*m[;3saa<Glq0GD.PgV(cno2fGWVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F3W]=e$
-7r#,.AqkG(>b<T*SLcO::K(_;D8=?Bq"t*C_p7/Xaje/<iR>ru_TLleg=X`ks8;6:e&0_^^Xg]H
-fZq at gc,AD^`nekXg<I[icH">[aiW)T_q3)Gg<7 at cbLY:nf?;@ibfh(<&)#.L`OE>:e(!@*db)gf
-#QOi>&.B$Y"onZ(d+6D@"9?Ea_:dPl_SNnd!!!'$!!NK*#m^[hgXj]oa8l8@!<<*)"p3#la4Aeg
-g=b!\"TcTZ]`\<8aMY^Hf?r*oak5(ef$V[ba2-0I`mi>VeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE?reJ1`oVmJd,(.8V'<?O7QH$liI1o)B at M?JY5Q
-!Z=??/liW:<=1$OkPtQ%1i`a?=U?3M)DGS,+Aptdrt?hblMpkj+&E_(>m;9Cht@!S*DQbW9FW4G
-iV3?k0k(D09dMu8))GCEmf*kL:)G`d#pVh<'/\tRs5O"Wh"UgR,!QYj7g'npir/o at s8V*Wrt-_O
-"<BT=/5G'qs6BXag@>1G)b1Pk<Y6`Z%4"[].9#$ortI"\lMpnBq>]a[s5N_O'IQa!0jF&FrsKl>
-li6u+2.6n;;&M)shY$mV,utL(>6Q-L*&h]qs8NKU=5`rT!"pk+3EQh at 9F2h5lMpl"/5m!'6k1P/
-li7"Ms8UX9r9aOa$6_2G1.UI&s4Ql@#p;k"q>V!R;<n2]$mSI/s8N3A63.rg&1C64qu>::s5<\P
-+Z`a.*'<Hcrtm=m%Nn[0pAYmZ;]%/`l2UeKs8V0Ys!'U>!#SHE.q\hs<<saX%4Q#q+^bp8D[Rn/
-!#oJP+DD32E!IS$#pa3s.VoG:@hp\5%4,Eu/7n,Hrrj<:+#R]cn,F at _@1"/Mh=^dh2HTqo1uS30
-lMpn4m/QANrs'Z1jo58p/Pd*5;qC at 9$mSOM)+YSs>oPJ%jSJlo03A5k53r7K,W]96(d73brtHtX
-$6_^mpA`S*s6K^b(G8Do.7NCtrtI"^(G8nPqYp^<9FN+Ej7rWS&kNNV=UQ?R%jY9\)GB2hs6BXa
-$mSFd2-\Ssrt[1hhXpj5s8V6[s5!>I(+rPd'fkRZs5j4Zf^SnQ-rLBq9bAaT.6he`-!CEi9E>tu
-(G8ep*_>Srs6BXalMpkg*^gPf:'Mb-lMpn2kl9rJrrjE-&1L-M(cUa[s6Tdchsp^W+\<"\6LOmR
-!>.1:2HL(s0aSRJ0/lSppA`k'lMge_bfeB5qYnd^`n&JVf?_Cdcc+J]`R`AUeBl7cccOY_ajeY[
-e^D^kccjkab^t:j5Wh-Zda?IfajADQdaZ:[dDsJ]d`'_jEJBl.6XrZ(R6bVb4D_/]CpQ0=[6&30
-4D_/aCoBR8Sj at FX5B2WJC7[S'X#=q#3cV/kCR]9ENik']Z4^E8+]aLnCf"np.X-e"GGm-:ZSc^#
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVD6,[0[6\N1;/DSB=F.%t<O`Z$X!KHe83tnU^\.Wuf$hRif#k\Xbf/;d
-g;_Ip_TC<Tb5D8/gX4+!ai*;\`9G7[kf1U'aiN;]a4JVWe'Q._dDsb`a4SYYhTEsrbK8#J_V*Jf
-g!nE\ZEW<>ea)/Mg<@ag`5CBXccEl4gXON^]!9H'_TU?Gip,@?c,%]OajSMXlK at 0K`kg-Nb6%_E
-_7mJ?i7lGr_r'8$eBuLnf$V at L]%bldZ*((gj5/YGe(r[)bJq?Ld`g4eajSGShV$B+c,\>[ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZiIXXLS=lf5T
-)C\8f*(;), at N?q*%ieF_-X%KC=rAkj%O=U\.o6^#:'r(<!"2%0/nYG.=:cZc&L1d"->!W+>pVFR
-!"Ma5+(#9l=sl=U&L1d$-tio+>8&;o$m&^h-Xm&h7LC54#96AM-s$B`6nCWA&LLE]*(Lbp<XBj=
-,<93:)aYJu=;<>a"<'QA/6*TA?2t[0*&(k;.:*W5>n8,a)D#V5+C5O#?5=u#&L:^%/S,YG?2tR*
-'.6rr,?G?q=;<&g+>.F0#=KR_C)/()!!Yh3/8YP,<u*3!%jGNa$;;'YBac(n&1)!#-".WB>TP\-
-#96AQ.p`l7=p5[8!"q[;.p3N39`Ph`+Z*(=1JZ`ms!0F$&KsLJ)FYc'B*]GW$Q`Fg/8"qp9+W=R
-&L:Zt-t")NBbMk!#oun]/RSl*:_"[L%jP*f,?k9`;][H-(a``)+B]$i9aVk8&0Y$\*E<7Z<>[6)
-#8pqd.X!.!K`DTd(+OA4+_M-*AJ$>,#p<^\)dX.)BG;n/%3]*g+^P-R66\@-%jG6](Jbu$@L*iG
-+u<j9(J>Pm?5bG+$Qi=T*`4"8AcNK5+#@I?-<1a.=r8et%3\aj/S,M>?POr"&gUuu*a]0g<<j7:
-&0>%!0P^h+:D"^R#8U/V.qA_p9-c<.-oc#R+&a%+>n8#U"r9cF-!:d%>6"jq(b08?/oVILBcAUC
-%3B$u.rcIXE<d=d%No4*20/a19aD\<$m/Oi/nPY>?4\>f%3Sjk.V'5@?NLs:*AM./(ekbp at 3%%8
-!>J<B,[q0'?iUa<&L(m'->Ob\E<I(U'..-&-t<Ar;#qA+*%u"E/S,5.<!O@=*\q at 8*`3:e;ACWc
-'e*At+A`%K3&<p7'-g!^,tAq+:)>6I'I,jZ,sW at q4qnti-7qC!aOL4gs4lAfrqufGe'ZLia3E,P
-c-sYVe&BS\a3W2ScdKq^dE0e_bLP%ceBc at ic-D&kI76.Zh9OL%b/r>]_:m;PeBYkXe'#n_dWL;)
-.7@<3DN$o"PrruT3cL]NELo42Qo]8O4*-?AF-&8"ShG/X.!V:0HCcU3U-!@c<FUoA8TV]d8A5Wm
-LH at q:@qn>NM(E_?0ljQUE3hNAW]P*p4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)LuZD6u<8W^CEgBOHsh4aO1N:qmen
-].5-+^p!e4iShVOf[.7Ag<I4\e*PcBikrjhccuFdptO- at h9!k#`ldD_bMpUbhTX-ncc=G\`R*&P
-e'Z.ecG\\a`9>4ZjN,<tg=4![^spr_gtUE(ai)?>^#ReteB,\ceBc at V]]@o!e'Q.jhUC$-c+V$&
-e(N!ibesYd!!<3$!rr<(!<D$4f@&!fcHF5Oai)rde&/u5g"+R$d`p"X`898"bfRfMbJi)]bh^q"
-`kf:Ggt'ls`lZ05hqHT0ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[
-d`oh`dEBt_a4AY]IXZYt3'm3:ru*4L)C7fe*^q"n:D+^>+"L8(,"3=r7L'be*\U4r*'F`O5q5!-
-#oZ8U/mf#*9,oEc&0=U\+]8O[7NO*d*%G/0-<Cm*;[XI8'I$Hl,utm2=:Q<F'I$Bd+A"(E at 1j_S
-'-^!k0NSGo3Y3E%)(A8n,=N7j71pe3*\L5#+[QJQ3[6IZ%j+%I+%%5,=qMlK%NS(Z.9762<"'[<
-)(/N'-<Cs.<>6WS&0=IR*(M>5?4\2L(FDot.97*&:(J47+=^S1+&WUg9->cl'd6Kp.9[3$9bJXK
-+"q"9,Zb6g9-,cr%j4U],>&[s8I?>%*@k5#(e>2X9Ii)5%3%Rqo`+L^s5<AGl1k9.2GOJj/Jo]u
-)^n>i*(V"t=;`Je"r'EN1L_:P<XTd7(a`/r,>\ml8J*(<*%Ou..o[!!7NF$[&Kj^_+]]L,=UPs6
-*\(,),Y8as7i3XJ&KjXf/mT,5<#6le#T$;O,?b['=;<2d$m&4U+]0+0>nJD`$Qr.].p3T7<=L!A
-(FW664_Og*3?0PM+"gV+*Ch%s;A13E)^nSs+\We'<"gHM%3.eS-rD'=<sTU+(*uWd+A!@r:CeL<
-'I$<m.U*8t9HYor&04X^+&aC9?kjb]*%"`$*`4(2>SS>W'd-6m.9?oo73=!\%iRqR+\j13=VW)Q
-'-Ks]+AXCDB+Q+[$lMbP+&iUb9cY]l%ieL[*`Et)>95;%&Kaa]+\j"-<Zj&!#8TTC-WCWu9,oH_
-$5l5K-W20E>7DQ@(FDog*_@(l:F7o.";4'B.UO5I at L3cF*%>8))b_.u<tQNL%in=Z,Z>^6=:?*<
-&Ka[_,uPX1<"'^8'-^'f.8ga#8JWUI*%Xo./5?Kf1`e2>&g07S-pn:W0d8>C&frkP.m47S,9nWp
-io]_"o_ZkWdJj(Bcd9kZeAo_^`6-WLb14JRe]5n`a3<&Tc-se\d`^(fc-t"_eBZ?oI!nLE45S62
-fuh at ecFqlZ^!Y3>cdg(We]r5lM^V"o95fYSD3I2%Qof8W3cUTLEg&J)N];0:2g(-:EM>.-VD!+Y
-3cp6RCP-2'GCW1rU,#c_'K`993Gh_t:Nh.NFI"k)V`J[u3,,NWD5]O6V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRm
-4)_)\D5]g;W(h$(=_=4N:jB8o36MmLe/KR6'+t8TVshC"f[S$bd)b%e_VrSRe\TE.q>]*mg!\3t
-bg"PXe'QIre\0, at ceH^qhp0Ek^<Y!8f[7IbbIQ?M\Co6DcIBkPd`'8UajJeeeCW!kcG\,Ua4f+h
-f$DCfcc=P^a4&GTdF#q[d`'P]`R*&Re'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYd`ohig=4Bg_Um5[d`ohVa2-!?_1@,a3Bfb(s8Vlos7lWooD/F]rr;Q`s6]FX
-pAY*crr;]ks7ZHlo`+s`s8V`js7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?k
-o`+s`s8V`ks7H?kpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKm
-o`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?kpAb0ds8Vfms7ZKm
-pAb0ds8Vfms7H?ko`+s`s8V`ks7H?koDej^s8V]js7?9jo`+s`s8V`ks7H?ko`+s`s8Vfms7ZKm
-q#CBhs8Vlos7lWoq>^Kjs8Vops7lWopAb0bs8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?k
-o`+s`s8V`ks7H?kp](9fs8Vfms7ZKlpAb!_s7uBgq=ajdo`+s`s8V`ks7H?ko`+s_s8V]js7--h
-nc/XZs8VWhs7--hoDej^s8V]js7?9jo`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?k
-o`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?kpAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKm
-pAb0ds8Vfms7ZKmpAb0ds8Vfms7ZKmo`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?k
-o`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8MZjrq-6io`+s`s8V`ks7H?ko`+s`s8V`ks7H?k
-o`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V`ks7H?ko`+s`s8V]js7?9j
-oDej^s8V]js7H?knGN=Wr;ZTms7H-br;Zf>bfTnbqpa0 at cdKkYe&BS\`QZiNbga\WeAoe_air8V
-c.'tWbJ_o^d*L(^K7A8?6p]MQdETbLaN_36e[W]S_R at _$aQD8bJV,[XBLQ`s6Yr2VCSF(2W'PI*
-5B<Y\Dk8b'PVmBE3c:KYD44[ANHeWKR6sfW.lG?_.)$9HV^u##7WhI<N&u*J6uAD`BUqV+V*f$t
-5&@,YDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]C4UH*Fh3cL]VBrO=5Y;UI%;ItiK6!(QE1<UIV`=ioo/L#ul&c]b_
-s2Mq?Z)%<?_>hs:s5NG#aNW/\cbI]AdcfH#g<7LmcGJ&J^W3k0beN/mcJI-og=*spfuVLd^t.Jl
-cJ$LdfZM+W^rt-Eaj%TJdDs\]`m`;Te'Q.bd)FJ]`RE5RdF#q\dDaM\a4/GWeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_akPCng==Nh_7S4Cak5(ei7lf<f[>P.Imusr
-o(MbFoCVnXs8;osr;Q`orr;oqs8)Znq>L?irVu]ls7uWnq>L?hrVu]ms7u]jp]'g[s7H'co(i=X
-p]'g[s7H'co(i=Xp]'g[s7H'co(i=Xp]'g[s7H-epA+aeq>^Kkrr;fos8)`pq>^Kkrr;fos8)`p
-q>^Kkrr;fos8)`nq>^Eirr)Zmqt^9cp]'m]s7H'co_JO\p]'s_s7l?gq"asbp]($as7Z3epA+a\
-p]'m]s7H-eo_JOZq>^*_s7H-eo_JOZq>^*_s7H'co(i=Vp]'g[s75pao(W1Tp]'dXs75pao_8Ca
-p](9hrr;`ls7uWnq>L?hrr;ios8)cmqZ$?es7ZBjpAFscr;QTkrVufos7u]jp]($as7l?gq"as`
-p]'s_s7Z3epA+a^p]'s_s7H'co_JOZp]'m]s7H-epA4gaqZ$9cs76!cn,!(Lq>][Ts6BF[lhUSN
-q>^*_s7Z9gpA+a\q>^!Zs6]R\n+QeVpAb$`s82NiqtL-fp](-bs82QjqtL-hp](-ds8D]lrV?Kl
-p](3fs8D]lqt^9fp]($as7Z3epA+a^p]'m]s7Z3eo_JO\p]'s_s7Z3eq"asbp]('bs7uKjq>('d
-q>^9es7uKjq>1-eq>^9es7uKjq>1-dq>^6ds7lEiq"k$cq>^0bs7lEipA+a\p]'m]s7H'co_JOZ
-p]'m]s7Z3eo_JOZp]'m]s75panbN4Tp]'^Xs6o^^n+m"Pp]'^Xs6o^^n+m"Pp]'^Xs6o^^n+m"R
-p]'dZs75pao_JO\p]'s_s7l?gq"asbp]($as7l?gq"as`p]'s_s7Z3epA+a^p]'s_s7H'co_JOZ
-p]'m]s7H'cq=jmgpAY*crr;Zks7QElp&G'bs8Vcls7lWoq#CBks8Vonr;Q`nb0.^$rUnO^`7E8R
-f$D=adDaM\`R*&RcdKkYe&T\^ahu<;dG*$uh9s^&c$=\Z3]f4:_S+UVd*URhdbr6if>Ye[b/W#_
-B7#:^7pSGlLIZ<T4_gZOAtqM$UdJ^h8n=VrAt`mQRrDS`I8Y$A6XcK=9">op`Y0]:(b;R26%MLI
->$I+PDko=4W_$p#:Lg%jAYMV-UH`Rk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlSE1\t4Q8E]M4)(NSBWX75WBbHn
-;eCc">A3E2WKAbQ\KrQT-nrOG'$)"8\1&s.XfMH%V>p#En&W!"e%O5]]=Q+cZ,<QbgW%q&cIpXg
-h9XC%bg"SR`lPp3aN2NMeBlCa_og9>eC_mabe;]ccI:=ag"Xfsc,%fT`R3)Pe'Q.ad)XV^a4/JV
-eBl7cccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOGQ_Ud,X
-f[J+'gXXWm`6lfKbf at P@E+r$@6i[2[s8VllqtC$fqu$<fnF#iGr;Zfrs8W-!s8N&us8W-!s8W-!
-s8W-!s8W-!s8N&ss8W,us8Duts8N&ss8W,us8Duts8N&ss8W,us8Duts8N&ss8W-!s8W,us8W)u
-s8Dutrr<#ss8W)us8Dutrr<#ss8W)us8Dutrr<#ss8W)us8Dutrr<#ts8N&us8N&ts8W,us8N&u
-s8N&ts8W,us8N&us8N&ts8W,us8N&us8N&us8W-!s8W-!s8W-!s8W-!s8W-!s8W,us8DutrVliq
-s8W&ss8DrsrVliorr;rrs8W)us8N#ts8DusrVuoqs8W#ss8DutrVuoss8W)us8W&trr<#ss8W#s
-s82irqu?]qs8N&us8N&ts8W,us8N&us8N&ts8W,us8N&us8N&ts8W,us8N&us8N&urr<#ts8W)u
-s8N&us8)cqpAb0bs8Vfms7lWorVuots8W-!s8W-!rVuops8Vfms7H<jpAY*err;cms7lTnq#:<g
-rr;cms7lTnqYpNis8Vrps8)cqqYpNks8Vrps8Duss8N&us8N&ts8W,us8N&us8N&ts8W,us8N&u
-s8N&ts8W,us8N&us8N&urr<#ts8W)us8Dutrr<#ss8W)us8Dutrr<#ss8W)us8Dutrr<#ss8W)u
-s8Dutrr<#us8N&us8W,us8W-!s8N&us8W,us8W-!s8N&ss8W&ss82irqu6Wms8Vuqs8)cqqu6Wm
-s8Vuqs82irqu6Wms8Vuqs82irrVliqs8W,us8W-!s8N&us8W,us8W,us8N&us8N&ts8W,us8N&u
-s8N&ts8W,us8N&us8N&ts8W,us8N&us8N&ts8W#ss82irqu?]ns8Vops7u]pq#CBhs8VZeqXXFT
-q>U0]p[J4_psIL.s8V`FeB$Li`SnqZhTNsobfAA]`RN8RdF#qZd`9Y_aO/eg]Z7S$cbY-iI7dC+
-^;d_6gX!sa_U6TIc+UjPc.1Rdd>)t+5X\sZCl:W!Ou[KJ4E-oeDPLZMTQ3nqL-glr3H`(\4j4ik
-`too9&gtU.3iXH+FA-[W at tmooO@sDX5B3J`E2uTCYYAW28S4ngC8F+2V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-2fbKBHBKk(PW<KS5A7&[DQ#^=Uc`[k8T'IAg!pⅈ]7>`"jK3#R8'O#K\;AU_X]<-5iU>-3(0:
-s21r0Z^UpG_"c6flH-Wu`k:ET`Snq\fYbegce%4/iRcE2iS*8 at b/DcL\`))Zd`K)XfuqR[\^Aa?
-`lGX:d`'S]`R3)Re'Q.ad)XY^ak"e[f$DIfccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7ed)sqebLk:gf$V[X]slJ9aP>CpPE1GV1ar:umf3=Zs8V]js7ZKmq#CBj
-s8MoqrVZ]or;Z`ns8DlqrqZTnp](6es8MiorVliqs8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8Dutr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#s
-s8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfqs8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W#ss8;osqu?]ns8Vur
-s8;osr;HZnq>^Bgs82]nqu?]ls8Vlos7lWoqu?]os8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#s
-s8;osr;Zfps8W#ss8;osqu?]ns8W#ss8DrsrVHQnq>^Eis8Dlqr;Zfps8Vurs8;osr;Zfqr;Zcl
-s8McmrqHHmp](6gs8VinrqZTnq>^His8MiorqcZoq>^Hjs8MlprqcZoqZ$Qms8Drsr;Zfps8W#s
-s8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irr;Zfps8W#ss8DutrVuors8W&ts8DutrVuors8W&t
-s8DrsrVuorrr;rrs8DrsrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8Dutr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8DusrqucqqYgHl
-rVufms8;`nr;-HkqZ$Kjs8Dlqqu6Wlrr;Zks7Y4#bl at Y2g<djuai3A^a5Y1\hoa!qbf/5[`R`AS
-e'Z.[cGIfN^s(*>cHsFZK69CD1<7ADg=XX'da-[mc/?R`o?c+V_p=WaHs/I%Dc:Ih?$L*gHu3#8
-GuT9I7s9eIB9X]GWu4CJ$mj at 5*Q9$K].$"N0OTi0I7nIB14c/]Fdk[;SN_(g4`I;_CTK^8X?CHu
-4`@,XDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)<:e.<q10GF:L/UdAgo6YrJbCSXF4W`*Arb.,gun+Qdqa8`6<
-s1Y*)cE*9R(Utk at aX8(Q*>$R7&AeSQdM3Y>(EEI1N;p,gs08g,_nk`aa3hW4g<.V#db)sV`8JDO
-n]T#<_n,6Y_WJqRkgIN$`jspUaPu()dF#q[d`'S]a3`5Ue'Q4dccanbbLXt^f$DIhcc=V_a4ASW
-f$DCfcc=V_a4ASWf$DCfcc=V_a4ASWf$DCfcc=V_a4ASWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYg==Nqb/DWK`7<5Wd`ohkgt']i_0U6B
-=]S8cmG\*Fo^D2+qY9FWs7ZHho_eOWs8DorrVuors8W&rs8MlprqQNno`+sbs8Musrr<#ss8W)u
-s8Dutrr<#ss8W)us8Dutrr<#ss8W)us8Dutrr<#ss8W)ss8Mfns7ZKmpAb0ds8Vfms7ZKmpAb0d
-s8Vfms7ZKlq#CBfs8Mfns7ZKlq#CBjs8N&urVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8N&urr<#ts8W)us8N&urr<#ts8W)us8Dutrr<#ss8W)us8N&urr<#ts8W)q
-s8V`ks7?9jpAb0fs8Vrqs8)cqq#CBds8VTgs6fpdmf3:Us8DWjr;-Hjs8Vurs8Dutrr<#ss8W)u
-s8Dutrr<#ss8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W)ss8Vrqs7lWnqZ$Ql
-s8Dutr;Zfps8W#ss8Dutrql`pq#C?gs8N&urVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W#ss8;osr;Zfps8W&ts8DutrVuors8W&t
-s8DutrVuors8W)us8N&urr<#ts8W)ss8N&urr)lrrVulss8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8N&urr<#trVulss8N&urr<#ss8W)us8Dutrr<#ss8W&ts8DutrVuors8W&t
-s8DutrVuors8W)us8Vrqs7lWoqZ$Tls8Vuqs82fqqu$KkqZ$BcqXa^dp\+=Iq"X:8hU2?!mbQ at 6
-hoa"!aN<>^a55"[h9<jlc,J>\`7WARjP%u.`OY$ZaPtXeQ%F*T3A'L?_V`AJhTX-i_nb6XalL[_
-o$#"EARUTV3NY51`@t$,,"0?b3P?([Y8/U`*@..(,bHeJV(Y`93G<q at GAgl=BOlfrBneZhM(Wn1
-4EI#TE1]%-Sh5)U-@;1,I[MX4ShPA^2fYTSDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]:2V(Qe^0QNmMD5BR9Ud/gl
-5Ad)ZBVS:2RH<&ts6K^S^W#WZ\Du)@fY<dQ_mKHDV#R-SYnRSg*?!$4']']PdgmDS-8N"B)lY)1
-S1lSqXf)3Re*F'/q7*a1b/s[q])K4Jr4BH6^:O*[_Wo+Qho*(U`OOC?^=1KJd*fnZd`Kh`ajJJY
-e'H7fccjtcbgt+^f$DCfcc=V_a4ASWf$DCfcc=V_a4ASWf$DCfcc=V_a4ASWf$DCfcc=V_a4/GW
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj8,J
-ccX2Xd`gFqce-^kg==Nc]XEiWK=J=lkNCaVf?Vai`nf at re^_jic,S;]cIC4geBcUocdUFjdFHUg
-e^2IhdE'hbaOJS]da?Cjd*L.fcd^=fda?Cjd*L.fcd^=fda?Cjd*L.fcd^=fda?Cjd*L4gc.(1]
-eC)=ddDaV``RWATeC)=ddDaV``RWAUeC)@edDj\a`mrJVeC)@edDj\`aOJV]da?=hd*:"dc.(+b
-da?:gdEL%dbgb%ada?:gdEL%dbgb"ada?=hd*:"dc-k"cdF$:fdEg4fcdL4edF$:gdEg7gcdL4e
-da?Cjd*L.fcd^=heBlOkd*^:hbgOtXdF>qZe&0V_`R<2SdaH.bd`'_b_:-iGeC)%[d_4/X^t-iN
-eBc=hc-Xtcd+$Feda?:gdEL%dbgb%ada?:gdEL%dbgb"ada?=hd*:"dc.(+bda?=hd*:"dcd^:i
-da6Imd*L.fc.(.`eBuFgdE9tcc.1.fe]u^qcILIje^`!ne^2OjdE'kbb1+eceBc[pcdgOke^Vpq
-eBc[pcdpOjf$r$sda-LmcdpLjf$_mqdEpImce-[me^Dglda?Cjd*L.fcd^=hda6Ckd*^:gdF?Oj
-da?Cjd*L.fcd^=fda?=hd*:(ec.(+beBlIjd*:(ec.11ceBlIjd*:(ec.11ceBlIjcd1+fcdg at f
-eBlOlcd1+fdF?Lkda6ImcdU=hdF?Ojda?Cjd*L.fcd^=dda?=hd*:"dc.(+bda?=hd*:"dcd^=h
-da6ImcdU=he'u^mda6ImcdU=hdF?Ojda?Cjd*L.fcd^=dda?=hdEL%dbgb%ada?:gdEL%dbgb%a
-da?:gdEL%dbgb"ada?=hd*:"dc.(+bda?=hd*:(ec.11`e^;Igd)skcb0n\]dF-7dd`p.ec-FYW
-bKRuYf@&=%cJI=(f$_V0m,6C;_:[#QfZhOjc,\G]a4S\VfZqIic,AG^_V3#Cf=\HSa1glT\X[GI
-AM,G0^V'KV\c9Xdr3`g0^p`g4S,0%LW^T"C,U0Q8.)cuT`t0lB&2Cs<2mF\iU,=us76ZZ-=+4(s
-CL*<)D4Nt8SNV%Z2fb!7F,_qpP!!ZS3c(KEDk8J%S0rWM."7R5I%Ds7TJpkc4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlWD5]X5Ys2s-6YiYcDPT+0V(6_[.=71:Fbn>mq#Bmad`0GbeB-+]^$4 at tbI48;eAUn#^AmW[
-s3/=Z_7KZAStReiV&^Sg+X=<$$e$@EaVGJk!!(P'*P`p.Xr7<?UPo/RVZ4BGs0B!2]Xd@:YlEG)
-l-[Q)c,%oV`6crOcdKq]d`Kk`bL+\\e'H=hccjtdak"eYf$DCfcc=V_a4ASWf$DCfcc=V_a4ASW
-f$DCfcc=V_a4ASWf$DCfcc=P]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ak>1hf@%mb`4jC5^Y.,^ki:Lno^Dh[rVuoroCD>Eq=FXdq"adY
-rr)Zmrr;rns8Dfos7u]pqZ$Tlrr;lls8;Qir:U$dp\b!brVZHgrV6?hq#(*crVZHgrV6?hq#(*c
-rVZHgrV6?hq#(*crVZHhr:g0fp\k'`s8;QgrUp3gp&4j^s8;Wir:g6hp\k$as82Tir:p<hq#1-c
-s82Tir:g0gp&+g\rVc?crpfscnbiCVrVc9arpfscnbiCVrVc9arpfscoDJUZrVc?crq$$dp&"a_
-qu6?erqH?hq"t$br;HEgrV6<hq#(*crVZHgrV6?hqYg?erVZNjr:g-gnGE7Rr;Q6arq$'dp\b!a
-rVc?drUKmen,NCUs8MQgrUg-fq>^?ls7u]pqu?Wnp&+gYrVc9arpfscnbiCVrVc9arpfscoDJUZ
-rVc?crq$*eoDJUZrVc?crV-9gqY^9hrVZHgrUp-foDSXZrVcEfr:g6gqZ$Eks8)cqqYpNlqZ$Kd
-s8DKfrUKpcp\k$brVZHhr:p6gq#1-crVZHgrV6?hq#(*cr;HEfrV6<hq"t$br;?EhrV6<hp&+d]
-rVcEerUp-ep\b!arVZEfrV-9gp\b!_rVcEerq$*eoDJUZrVc9brUKjcnGW at Us8DKdrUKpdnbrFV
-s8DKdrUKpcoDSXZs8;KerU^'eoDSXZs8;Qgr:g0fqY^9hrVQNjr;-BiqY^<erVZEfrV-9gp\b!a
-rVZEfrV-9gp\b!arVZEfrV6?gr;?KjrVQNjr;?Njr;?KjrVQNjr;-BiqY^<erVZEfrV-9hp&+d]
-rVc?crpfscnbiCUrVc9arpfscnbiCVrVc9arpfscoDJUZrVc?crq$*eoDJUZrVc?fr:BscoDe[W
-s8)?eqt:!dp](0crVZHgrV6Emqu$?bs8Vrpqt0j^o(hkAs8MZRjk7l-a2ulRb1+PWeAoqa`RE5R
-g<IRnbJNMb_>iQPr4p)I\[o.S@?NE,s.?1g[^s3k)9<<sf,PUU*#@Hc.CKg!Wu<"Z1-:IM5^YXl
-F\-=h=b(I!NG)^\ARCL%A<fJrRlGA\4)goUDkT at 2TK@"b205WUF/VKAW'P-p12j!FE2H'>WC^m(
-4`7,UDk]:2V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk5&@5dBs^9AZpST/3c1ZHEi(=2Sgf/J3dlarcKtQ.s3/p>
-aNh`Qd*'n`aOSk_bKmoDd)5e]p;Y+`bJ1CTe]Rg0]_nb(s0&L'W2 at ES*ki3odioXH)@*np!j<LB
-]/:Lr-6K-K6&Hg3Q7k"f5XGFFV#Rp3s1>f@]XdmR]Cs(SnADs*`kLQU^uEJQhTNjicGeA\a4ASW
-f$DCfcc=V_a4/JVeBc7dccOY_aj\VYe'Q4adE0e`ajJMXdF$(_dE0b`a3i;Ve'Q4dccO\_ak"e[
-f$DIicH4\`ak"e[f$;IgccahabL=h]e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`bL=h]
-e'Q:ed*'nbbL=h]eBc=icH4\`a4JVWf?VFfcc=V_a4/JVeBl7^bJMo]bLt=dd)j,Wd)jk``ll62
-gXONpbKA#NaO&8Ve^Vpmd*'YV`n&\fdEp1fcI11eeC2^me'?CkcHt(ebgat\e'Q._dE0b_ajAGW
-d*]t^dE0b_ajAGWd*]t^dE0b_ajAGWd*]t^dE0b_ajAGWd*^%ad*0nabgFe]dEp+bd*0nabgXn`
-e'H=gcd("ccI:+be'H=gcd:.ecI:+de'H7cdE0e``R3)PdF#q\dDaM]`6luOdF,t\dDaM]`6luO
-dF#q\dDaM\`R3)PdF$"]dE0b_ajAGYd*^%`dEBnabL"Y[d*^%ad*'h`bL+\\dEp+bd*0nabgXn^
-dEp(adDsV^a3`5Ud*^%ad*0nabgFe\dF$(cdE'hbaOJVYeBuLjcdC7ge^_pseBc[mdE0ea`6m#O
-dF,t\dDaM]`6luOdF#q\dDaM\`R3)PdF#q\dDaM\`R3)RdF$(`d*0nacI("^dF$(`dDsY^a4&DW
-e'Q:ecd("cd*p:ge'HCjccjkbaje\Ve'Z.`d)jb`aj\V[e'Q4cd*'nbaj\V[dF$(`d*'haajJJY
-d*]t^dEBnaajAGYd*]t^d`9__`R*&Rd*ft]d`9__a3`8Td*ft]d`9__a3`8Rd*fn[d_sM\`6crN
-dF,n]dD4>[^t-lJeBu(_d(n/Y^spcIeBu(]dDFD\_UQuMeBu._dDFD\_UQrNe'Z.`d*'h`cI:+`
-dEp+dccje`bL=h[dF$(bd)jb`aj\VYe'Q4cd)jb`aj\V[dEp+ad*C"bd*U.dd*U.dd*U.dcHsq`
-d*^(adEKtbbL"YYd*]t^d`9__a3`8Rd*fn[d_sP]`7*,QeBl1ccc+D\`7*,Pe'Z+]dDaM\`RE5R
-e'Z+]d_sJ\`6?`McdTk_d)Xb`ak"e[eBc=ed*'h`bgFe]dEp+gda-Feal1^shTX.#`lI,Y`UhL(
-d^HI9c+quX^>I/Kk/b7*`4Pi\\c9=Os1#Q<[C6+6XGe5IW&-Z+,qbW4/uLHdU)P8q*$!BA&]tOh
-aUo'!()Ene)j_s+P=nu$>]3hUIRe+45B!/WDQ#[3W^17!5A[MQF/UI2V_iIl4E%)\C8X1/W&AOo
-3,YfeCo]p=WAJOk3H(roB<>'DX[?g$3GP?ODP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Um5&@/]CoBI5W&egp
-3,b`TE1o at 5P=9DF_pmoFr;Y3pcd:%We'Gt`cc=P^a4/MZda?;;rUnajbgXnXf?M7ibf&Sa_X,=X
-rQ<.N[BT\G])TLSs1Gf.Tp_NN89Z6sS2N-h,9s!+,fD8mZj7An(F@]K-Hl]3bR#0;*@\oK-3'<s
-s0J[(\Z#P?VY8':i6&amg!J0h_TTm1i7ZT4eBZ1U^Xgr^e'u[ke]uFfbg"Y^a3`#Gb/MBJbKnnj
-`mVlLf>cb4gW@[Ud*9Mbf$;sob1=YQfu_ at od*URnc-XJLg="@#eBuancI:4deC;^jd`Bh`a3`2Q
-cHaGRbf%fOaO8J[d*Kk]cca\]bL"SYd*Kt`ccsh^cdU1_hTs@%bf8G]`7W2Kf#bbXbJMcR_q*/Q
-f$D=dcc+M]`RrJTgW[Xmbf/D^`S8VWf$DIed*'nbbL=h[e'Q4cd)XY^ajeYYf$DIhccOeaa4JVW
-f?VFgcGeG]`7E;RdF#q[d`9__a3`8Td*ft]d`9__a3`8Td*ft]d`9__a3`8Td*ft]d`9__a3`5U
-dEp(cccjkabgXn^e'H7eccjnbbgat_eBc at gccjnbbgat_f$2LkcHOkacIU:beBc=fccahabLFk]
-eBc=fccO\_bLFk[eBc=fccO\_bLFk]eBc=fccahabLFk]eBc=fccahabgat_eBc at gccjnbbgat_
-eBc at gccjnbbgat_eBc@gccjnbbgat_eBc=fccahabLFk^eBc at gccjnbbgat^eBc=fccahabLFk^
-f$2LicHb"cd+$@deBc=fccO\_ajeYYeBc=fccO\_bLFk]eBc=fccahabLFk]eBc=fccahabLFk]
-eBc at gccjnbbgat^eBc=fccahabLFk^eBc at gcHaqbcIC.bf$;LhccanbbLXt^f$;Ijc-+_`bh(+_
-f?MOjcHFeabgt(_f$;Lhccahabgat^eBc at gccahabgXq^dF$"]d`'S]`R*&Pd*fn[d`'S]`R*&P
-d*fn[d`'S]`R*&Pd*fn[d`'S]`RE5Ohp]R&d)"Vc^td8NgWR7]b.?9M]\UrMg<RFdcG%rW^=^cG
-f[%:acbA&X^=U]Jf?VFfcHFhabLXt^f?MLiccOeaak"e[d`KGZcH4\`akG.dgX=?m`kfm:^=goZ
-ccsb^d*gLrf$r4!cHaYae^N+#eAoYJcd9k]d)s\]aNr5ScdBbYdDjM[`m<&Ph;6`-b/M]C^u<P`
-hT3ji_8,'[dF$%Qd`]P[d)b(ocIC%Sc-*l\kLml.`l$<Ee'u[od*U7id*^7ebL"JYe'61bbLG"e
-gsja*`lI;^bNup]rOpDS_9i4a^&Pa`s1Yo@];bh=WrJle]I##C(ELg9+4UlCedEPF#TM#&,gIer
-TF`$</2NJ>/r(u.Q9dY/WM9F8`W*HVq7F;7FF6S04_\JV;eLnTCm@,#T/U_c2fGWUDQ#[7V`\go
-20#NNEhta6V)rRk4DguYD5TF4V`J^n5&@,\Co9=3V`J^n6#3AbC8X73V`Sdm4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbc.11b
-s82QAe'?=db0\MVd*]t^dE0hbb1>"_cc3`VccY(b`TPFcn^>eH^VKHV^\tI>s0f03\$c7$QHCg8
-]+#Ot&/a+<+j1'#g(tj>!!:t61q4hQU`pPA-lA(#+I,AXk+A(AbfKh"]D]=Jpp[U%\$H%R_X"b<
-ouY#+\?G#3\bFe'mF'&:c,&/R]%G'<i6o`]YGgC.bLO\LhpT[*e'6Oia3huGgssa/gXk66eCDsl
-`l5d5`5'[CaOAV[dF#q[d)=A\`miM\e^DRhdE9tdb1+h_eBuLid*:(ec.11ce^)Rlcd14hc.0tV
-f?2%ac,\Vgbi%+"hUg*)d`Kk[_q!/Ue^;Iid)akcaP"k[g!7[ncH+\aaOnh[f?hUjd)abbaOS\Z
-e^;IgdE'kcaOS\Zf?hUjd)ahcaOee[f?hUjd)abbaOJVYdaH4ddE'baaOJVYdaH4ddE'baaOJVY
-daH4ddE'baaOJVYdaH4ddE'hbaOSY[e^2Ihd)sncb1G"_f?h[ld)steb1G"_f?h[mccXndb1P%_
-f[%^mccXndb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_
-f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_
-f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_
-f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_f?h[mccXkdb1P%_
-f?h[mccXndb1P%_f[%^mccXndb1P%_f[%^ld)steb1G"_f?h[jd)sncb14k]e^2Ihd)sncb1+h[
-daH4ddE'baaOJVYdaH4ddE'baaOJVYdaH4ddE'baaOJVYdaH4ddE'hbaOe_Ve]bq\bJMiT`7N;R
-f?V at dc,A2X`7WDUf[%Ricc4V``n8VWf[%Ricc4S`aOee]f?_[mcck"ebh(1bf?_[mcck"ebhLUn
-jk\YDdE]kM^=CEKjk\YIf$hg^_p-EJc-=G`f at AR,eB,eM`PfO<ccXqldFH[ge^DXld`L(gak"n\
-f[7aldDsneai;',i7?H?g"G3/dF?1Tg<@b&gXjim_V38Ti7#s/dEL1^^u<_b^9FNmd`U4_^Zs.b
-fsn6Ma1glZ^A-'rprUGB\@)1H]'cGns22eTZag%A])SM*W%pQ0,VP]2.$bqoT-G;Y,TkAj1Tg]Y
-f,Z!h)'@'-&D.a?gES5_)'Js5N8J;bPqt8mWi#gDbLNbnnCQ%Ld`^"R^=(-IJqT4;5#P3qN'_BJ
-3cL]KEMkX5W\nao2fPZUDkfC4Tf[.g4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*:+fbl at S7f$hpkccXV]aO&>Vd*]t`d`U+gajn\Vhpfs)a2?QF]]6uK
-kf1U;e'R^0_<f%En&2R/cb/MSV"_j2rPbl6\Y/uN^Ak1"X?A>6-6S]c%_*Q,`$-eK'ct@'&)%j;
-dLZu6$k(l3*8)>PaV,6-*#QI5(VV@?s.l"][\a"kK`AKRs/hRd[\s/A`W*E`s2NCbaj0:o`m2&u
-aM,(:gX"7!ai)TB\];4tcb[lVaOf.lf\"L+gX=Nq_U6WEd`fMVcGJ2\`S&YYf$2.]ahZNQ`7N8P
-g!%Ihbf8A[`nJVWg<7Rgbf\2YbfeSabgk(]cH=/J`Q?6BeC2h$gtL9)cdL4edF$:fdEg1fcd("c
-c-t"ce'- at iaOnkYf[%Rhd)OV`aOS\ZeBuLgdEL(fcI1.fdaHRkdaZ[meBcUpcdUIndaZjpd+H^j
-g!@srd*C=jcIgLhg!@srd*C=jcIgLhg!@srd*C=jcIgLhg!@ssd*(+i`nAeWg![ajd_a\c_V*AS
-g![ajd_a\c_V*ASg<mdkdDFVb_V3DSg<mdkdDFVb_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*AS
-g<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*AS
-g<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*AS
-g<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_a_c_V*AS
-g<mdjd_a_c_V*ASg<mdjd_a_c_V*ASg<mdjd_aSa_U[/Qe^VIdeABbc_U[/Qe^VIdeABbc_U[/Q
-e^VIdeABbc_U[/Qe^VIde&L%fbLk1eg!@srd*C=jcIgLhg!@srd*C=jcIgLhg!@srd*C=jcIgLh
-g!@smda61de]-+h`RE>We^hsrg!87(bLP4cd*p7ff$2XocI(4gdFQ[lf$Mgqd*^Fld+-OkdF-Fg
-da?ChdEg7gcdL4edF$:fdEfM@]Yqh-cdC%hf[\L$d`]nXaihcNd*(;'fuD(I_SWn4cc4YgbhCXm
-h:Bm*dE'tc`S/SUgWd[mbf&A]`8AbVhoissb/EPjcJR!l]>:nleATPkdEC at jdaH._a1gcfcd051
-aL\Y8c,TA%cMu#2s0KWC^W$/MPlJ\!s1"^$];P[mL;>)Qfd\Ae#n#Z8,g?`,f,GXR(_k[W-_gbD
-[iZ3n,9"WR1;P=mU_+EF-RQ,Z1&I2hs15*-`N8mGT)[3JfVO]0h93*WG=EJ_l+FLg^q93hcK`m%
-fuCeZb/`/_e:WO>00iK/BnerkQTK,X2fPZOEN1m8W&S^n4)UfUDP9.0V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Rkd*2OepX[g=d*Kk]d)aS]ajAGW
-dF-1_cG\,T`7iV]hpBR+ccP:maPOeKgV:A\cc4JT\'`@-e^_ at Xe$mf^]@>]Lcd8i@`2<"N\*LJu
-s1l)CY-7l3]DnnBs-KM1+<f8M'$(=^cOC9<)App7%`\_TbRk9('Fhnp%([2_]H.^#-Q0E?'s]%s
-[OE;c&J`&G98=#ps.lRmY-7lF_Z.`on$T.c_6WgZ]D0[cqp`ON_mAsW\Eq&:jghJ]`4b]\_!f:Y
-mDQa*`P1]Z^Z`_Rj2J^mahZoY^u<JPhoiglbeW&Z^t[,Lf$M at SdDs2Uc,nVccI^LjeBlLdbg"8N
-bf7ZRd*U=jd*pFidF6IfeBlCid)ahcbLXtfe'$=jak"n^f$_[jd`^1hbLP%ce'cLecH=JYb0J;V
-cHaYZcHa_\cHa_\ccsbbbf\M[ak"VWf#u1db0&;Yak"VWf#u1db0&;Yak"VWf#u1db0&;Yak"VW
-f#u+bbehoT^t$]Fe]kn[c+qlS^t$]Fe]kn[c+qiS^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZF
-eBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZF
-eBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZF
-eBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZF
-eBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkZcG7rT^spZFeBYkXcbRrS^sUKD
-dEfVUcbRuT^s^QEda,_WcbRuT^s^QEda,_WcbRuT^spZFeBYq]bfA;Xak"VWf#u1db0&;Yak"VW
-f#u1db0&;Yak"VWf#u1db0&;Yak"VWd`fqUcdBb^f>uFm`R*,Rd+$+_e],qb_p$NPe(Msog!8("
-cI:Ile(N$qg!8("cdUInda6Ikc-t+de'cLida$=ic-t+ddaQJ*lK-@=b/h]Ce^i*tf$V[b`lu]K
-eCDgjcG at uV^Z4+nk2">7ah6!9ZeE at .i5N@kaM@,]_!T(SnAE!3_S5ZY^@o at VpV=K6]!;7W]]R&6
-p=I4Md_4JHVWG(Xs2i%OYc7ZC_>hWos0Sp.W2YC^(rSR1S.?@J3 at q!M%(%AsWtGQ[-69Z("4S8*
-fGtgN&.?\u&A/S[]H7]a)[E>i&-'D?s0\R#SY?(d\c8b7s15W<]rh=b^>I#1b/L"!e?%9Z]%>`M
-dF#LUG\9rA3:YYNiPi[ja1p-@\D#'@in)Z.cd7&iM_[Y$9PK8LD3mA&T/U_e2/oQSDl>^7V`\jl
-5&HuUD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOta
-f?_\@qtJ[jcHsn[d*Tk\dE0__ajJPZd*ft_cc4>R_:QoNhpBL*d)tIsbM^Xef?)%`c,e\mcdgRf
-bg+#Cc+)*O^sgrPdaZ"ig;i$n]^*n]k.nIo^Ua$P^&,UXk,Y'Q`O,Zf])TCEs1#32^pj?V[f<Y9
-s/`2h.4DPc4eX/LN!g003'ErR+Jfki_Bg8@*#$=0'$M:.d23VE&eNA%&CVC/d23P<'b7JT!4WsV
-__N>6Li<<tQiFIhs/E(!YIsnA^AkCHs/rd0[CH7L\c9CRp;4<-`OG'Q\)PW at h9NL^dC7]T\'`[:
-e(i-dd)Ef?]ZA42g==O1gXb?4d+QR^gW[dnbfSG^aj\VYcdKqZeB,h_aiW)VbgOkad*g7fd*L+b
-d*^(bd*'nbaje\Xg![sqd`:+i`SJqZhU00rdD=\e^u!JTgX4'qdE(%hb1b7ag<n'sdE(%hb1b7a
-g<n'sdE(%hb1b7ag<n'sdE(%hb1b7cg<e-udE^FmcIpUjf@%srda$FmcIUIif$hpoe'?IlcIC=g
-e'u[leBZOmcI::geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=g
-eC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=g
-eC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=g
-eC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=geC2^me'?IlcIC=g
-eC2^me'?IlcIUIif@%stdE^ImcJ$Xjg<e."d*CCmcJ-^kh9XC&cd(CmcJHjlhTjF'cHb at ncJHjl
-gX+*sdE(%hb1b7ag<n'sdE(%hb1b7ag<n'sdE(%hb1b7ag<n'sdE(%hb1k:cfZM7ld*:Lsce?Ub
-e]Pn`cH4bfbgt1be'Q4cd)j\_ajAGWcdKq[e&fk`aj8DUeBl.bd)+D\`7N>Pf?_Cecbe;[`7N>P
-ahbF5ah6N]bM(=]begm at beW5jcJ-[]hp]9sdCS8]\D"m)gqTu_cbKM2ao9AqrP#c@]!q^K\c9(J
-s0K99Z+9n=\c8q;s1>*,SUSF4+Ku=V\-rGh,TP&Q(s*p:a;Yi7'bJ\(&D%X1f+f%E()";&'>Gk8
-VZI1M-TJ4A+/Kl!Z8Xe-/1:J&VZ4E6s3SC5ZC:U>]B.&4j2 at npho"EiVU2H3mDlg2cc5(c]&h,J
-gW[.[e%*iP[,9raf%e'R_Pl,@`QlW?JTc!05saAMbhgF`i6B9pbJ<&bb2(Rn_8!d,HA"7M?;b^$
-6Z&/PDP&n,V`/Oo3,b`WDPo[8UH`Uh4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbc.C:cs82QBda$4cb0\MVd*]t]d`Kkbb0ne]g"F^!cGe;X`R)W<
-beLX?b/;oT`Sf1mfZ_Xocd:(]a4f(ke'Q4ed`KbY_:dMdcHsJJ`OX at C_q<P_g=XWudDaDV_V<tp
-eC_mdbeD6<[a;t&i5rguaM[5V]D'7]qn9`?ZF9eJ`rEs$s/WX/X1/,>^]14+s-\nS)\^RO-aj<b
-dMs4\+!AQ,#h0J#g)(^R',&b7)6sDGdk<#h.j(u2%^$TfZ61X',:of:-`%q3UaR^c/Lm,>-i^TU
-s1#*/];knEWrKl7s1tZ3_Q*LMYOf90r4p,JaN4D"`:^aRm'O+d\$b\=](3_Pn&2s,`P1ZX^?N\P
-kf:F"aM-cW_WAe\ji5U,a3<VbbN-^eilK7#aiEA^`S8GKg;q"^aM-?L]\1E>f?1\Vb.?0H]$nj<
-d`]JTbJDWM_:$NCd`]JTbJDWM_:$NCd`]JTbJDWM_:$NCd`]JTbJDWM_pc`Ke&fb]aNW)Sb0nDU
-d)sMWbKS;Ub0A,Rbfn5Rbfn8Tb0/&Raj/&Pc-4AUb0/&RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)R
-bK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)R
-bK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)R
-bK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)R
-bK\2Rbfn8Tb08)RbK\2Rbfn8Tb08)RbK\2Rbfn;Tb0A,RccaJWbKS>Ub0\;Td`KY[air5Ub1+MV
-eB#e`a3<,Tb1FYWf>l%c`m!#TaOA;Ld`]JTbJDWM_:$NCd`]JTbJDWM_:$NCd`]JTbJDWM_:$NC
-d`]JTbJD]N^t$B7hoigqc,/>Y^"gW>il]'tbeiD]^ZEPPk/b@#aM@#[_!&hSkf:L'`k^o[^?ikM
-mDcX(`OG<T\+7JHo>A'0_RK9U\,X[iq7X39`4c2k_>C[Gr3s!3_S6&^[K!tFs1"m)[A<i6X8g/J
-s1bl$KR97L0U419Qn'MQ.4C]7.%Vh8T-l%\-7GW9,,HLt^G$bA'+3YF,h<YEeJ&b5#mS'Q$+^KM
-e06$`*#lNp"ktIR],24]Ru[NIUAqI3s/3X3[`\WBXoH#LqS^8?d`C%`]uJ1&h!!8'caq$B^!>BS
-^ra+,bIm**h9F?abKmuDb.H*Q`R<JZajI]9`j!_9^<Y-?bf[QMeB-LpcA$Xm6o@$_cIUdpcem0n
-g<ddme&^+fbJhH>I"dSA9OLG(KL9UC5&QuRDPoI3W]G$r4)Ur\Cnj43Tfd1g4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*:1gbl at S7f@%skccXV]aO&>V
-cdKq^e&obT^t./_dF$"ig!JO)bLF_Pin2T7dE^%L^Y$HJk0_o8_ogo\daGnJh9F7,f at JBj`RiG[
-gtUE-eB>eR_naL5a4/8_j4_N%be;-;bLFqqj5JP?f#G\HccO;hg">N at g!@:Cl-RoDbg>=b`:;+"
-kJ5"!]>4HfchY5ks2ra[[CZ+D^\ba_r4^#I`6%kXZi at YUs0fcDSZSkF6_GDRTbf>c,;ZDD+0d15
-Z6^Ho+rIa5)8.@;[N6*_%L'Nc'#, at u_AO!*(_Ob)&]ke!aVGK4'Gf.2.+K+gbnDV9#p$)Y*lpQ9
-s,E-?bKBjmYlD/9s0f03[BT\;YlCu4s0&[,YI+>6]Do.Ns0KK?[D;gO_Z.3cs1QGI_8l)abNd-m
-j3#[&c-Y%gdaHRncdUIke'c^nc.17ae^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRjdEC7hcJ6^jgs+4"cHb.hd+Qajf[%psd*C4hd+-Ohe^;amda$:hd*^=fdaHLje'?Cid*gCg
-e'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCg
-e'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCg
-e'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCg
-e'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUke'?Fjd*gCge'cUje'?1fd*("c
-bLY%af$;Lid*C1ecd^=he'?Cid*gCge'cUlda$Cjd+-Ohf$MdpdE^:jbLP%_e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRie&U%g_VNk_hU]U&d(nhk_Xc-qo#8B0['BYF^]1p\
-s0f]B[(lXG^]1LPs/j'9YIX\?YlD/6s0]!/Z`X84XoGQ+s/`@&WNH2bRa3rZW<j<N'I(O5.*EGX
-c5A1O$5hA1)qYl=fb5(G$Ok)a$.Bk2dj?3Q*##n+(:,8%XsP!a.2\j2)PAZ#SLthS.O(i80<$*R
-V(Y(3Q(\/Y[f=1cs16,J^rcVmaoB&joteQ5^VB'F])Tt$s1-&I`R!SO](+%klc@<7aire`aj.9&
-k0;9/a3*Accd]nRi6]s)aNN\rgYC'%cbmfOai`)^cHahWcdBb]e&U(jajneXf?qRid)FMW_;j1r
-j4Mr;cd at 8bGXab^fZ_po`lc`Q_:$QAda#_^e]uUmdt3LB1IYG8 at Xpm`QTf;Z3c:iTDQ5a8W'"pp
-6#<;^CnWt.V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2RmcclFdpX[g=da-(_d)aS]ajAGWd*p.ae&^+mc, at W6dF$"ff?;Uf_qinfcc3e^J:ii/KTL\=
-JT,k"KoLk2I#*&qK6MTsIXcrsI"HotGBn:ZKmnc<LjOl*D0g8MLP9r)K6Ms#FFJ^]I"$X(M2$tJ
-G^Oj_H?kX8O*uD%G][qZJ:36+Iu]89JpMZqH\6opJUr3$L4kD9Jqno.K7%unKm\B:KSk_+G*-?V
-`/9t[>B%>iJ%f68`aNr/ARrnq>/t)QaBh`l at TV;n=jB`3].tqF+Wn9;*P`X8`Yf`=()tO6)po?=
-dLmSE$QRM(,1 at 5Qd24:N)^`09,H`".V]?eV,U0*2,,cb2W?WUh+X4-4,-r=7ZQ:Bq+"435.B4O?
-W$3[c,V,K6/Xe(APUeN+@;*>bC:IklZ"\'VCN$.gEM[PmV/L:NDJH.gAuTZ]WGZ=IDJ6"eAuTZ]
-WGZ=IDJ6"eAuTZ]WGZ=IDJ6"eAuTZ]W,?@FE,D:gDkV/jT5nkBEH.RjDk(lgRriS;FE*[jDjYZe
-QZd;4G&`dkDj>KcQ$7/3G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWe
-Q$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWe
-Q$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWe
-Q$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWeQ$7/5G&`dkDjPWe
-Q$7/5G&`dkDjPWeP]q&-H#\jjDif6aOEti-G]AjkDj,EcP]q&2G&`jlDjYZeR!!>9FE*alDjtff
-T5neGDec7hAuTZ]WGZ=IDJ6"eAuTZ]WGZ=IDJ6"eAuTZ]WGZ=IDJ6"eAuTZ]WGc=IDI]ee@'"*L
-X^tYFBOS\j@^B$3TK"lt.P75>/#+ at AW$3an+>'c</$U*HY9,3n+sa*4+K6S.X<Jdj+X"$3+LW:5
-\/ZX+)^;["(<RUDdNC*V$5^_m*7l2]apoE:%N3Fu'\!a7dhWtE%i<%r(r%%4ZQ1%D<`@US;pSfM
-aC8,cAQHNX<kE$G]k1Wj??=/"Ju;ss\;$0&ASd`ZJX:P0Nc9<(G^k9hI=$X"G_h-'M2?Y0K8F`%
-MKsi0M1fhqE-d(\ItE$%JUWW4K7e5gOaM_FIYNVpG++&CQ%4^>B60&[LB%)Lf?D[lbK8;]b21at
-e]u1[`P0jF`8K7mgX=4%f?hjb_Um5^da$*cH[\ac;o$/eg"G'1e]H at j`6loJe^i$kda<5gM(Lqj
-;K%O`CmRA'T0$qg3c:rZD5]R6Va5-o6#<5WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOtae^2P?qtJ[jcI1%]d*Tk\dE0b_ajJPZd*ft]d`9__a3i;T
-dF#q^dDaS^`RE2Ss8Vurs8Drss8N&ur;Zfps8DiprVQWnr;ZZls82irqu?]ns8VrqrqcZnqZ$Qk
-rr;lms8DiprVZ]mr;ZZls8)`pqZ$Tjs8Vlos7ZKmpAb0bs8V`ks7?9joDejaq#C<cs8Vlos7u]n
-rr;rss82ipqu?Tjs8)Tlq=t!aq#C']s7Q*cp%8:VpAagZs7cEjq"t*cqu?Bes7H3goD8LVqZ$$Z
-s6TO\lh:ACpAa=Js5inQjn&N5oDe"?s6\YBgr9<Yf)Om`s4#/q4>j8m.]=C0Y95$n+!Rp2,-<"4
-WZiXa,U0!1,,HV/X=#-a(_Ent*k<aEW"TTE(D"P3+28R%ar(l=((o%2%Fl.#dM<5<(CJP+$I0Ir
-b8:i6)&(.0'Zq:,aqti8)&(.0'Zq:,aqti8)&(.0'Zq:,aqti8)&(.0'YPP)Yqdm1`P2B0gAg$\
-s5;W2h:2J_g&L'as5DW1in".gf`0s^s5M]2j4=7jf`1!_s5Vc3j4=7if`1!_s5M]2j4=7if`1!_
-s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_
-s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_
-s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`1!_
-s5M]2j4=7if`1!_s5M]2j4=7if`1!_s5M]2j4=7if`0s^s5DW1i7 at qdf`0m\s52K/hq%haf`0dY
-s4Ps&hUqk\ec4IXs4c6,aMbJL4JNo8^`=97)&(.0'Zq:,aqti8)&(.0'Zq:,aqti8)&(.0'Zq:,
-aqti8)&(.0'[%=-cP7AH',o at 5)q5K=dM!SG'cP72)o`d7^)@m!*>l+*)6Y5$W[&I\-5`U,)5ni#
-XW\gj+=+'4,cW%6W?W[c,UB*2,bHJ1Sh2=W/LCGUf`0p\s5)0'k1K^gc2Zt`s6AtNlgt/AoDe.J
-s6K=Wm.C>EpAaORs6oa_n+cqPqZ$*^s76'eo)&IYqu??cs7Z6fq"4U\pAam\s7l<fq=t!eq#C9g
-s8Dforql`qqu?]pr;Z`ks8Vins7cQlq#C'`s7?-fo`"m_s8Vfms7ZKlq#C<fs8;`nqt^9ep](*b
-s8;iqrr)BVmbujNhTEt!aiE;]a5+tYfZqIecc+;Z`R!#Pbga\Vf?;1bbJr,WFG5,u6TrNCe]-(\
-cI0Y[eAT\[_U6lVbgOjaKT.WN<DRFg7Ve>TD4`n-V`J^q4)LoYD5TU7UH`Uh4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbc.11bs8;WBe'?Cfb0\MV
-dF$(_dE0eab0\SWd*ft]d`9b_a3i;RdF#q^dDaJ\a3N8ZbLb"^f$;IicHOkbbgt(`f$;RkcHk"c
-dF?Fid`p=jc.LCfg!Iprccb"gbLP"cdaQLjda$=icI:4ee'cLid`p7ibLP%ae^DXkd`L%fak"n\
-f$_Uid`0_ba3*#Ya4S\[f?MOjc-b%ce'lLmdEC7iakG(_g<dmod)Xhda4A\Ye'uCceAfncbKSJe
-bLG:je(`0rgX"=&da?auce6mqf at nL$gs"@,bLYXof&Om%jN,j5aOK1mbL=\@g!Qq^d'2lZYPlSM
-kbFCBZ`=&,VuO',s08g.Z*=85YlD&6s0f03\$5nBXoH&8s/haiXdoEpSc?!is1GK6NIf2+,ek91
-`Y]00'arA&$-s=lcP6Z1'aDnu#g="ob7tW4'bSV(&^(n$b7tW4'bSV(&^(n$b7tW4'bSV(&^(n$
-b7tW4'bSA$'Vl-B_DNsH*Z(Rg&[a)5W#lhL)\Sti(TSl'W[Agc-lo67*N(>,V^WXa.3566*N(>,
-V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,
-V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,
-V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,
-V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35<8*N(>,V^WXa.35?8*NLM-
-X<nsh-6907*Ng\/Y9Y-n,TX-8*O-e.ZQ^El)&9S'*Ng7p`%3@)!!(:t/B/J?b7tW4'bSV(&^(n$
-b7tW4'bSV(&^(n$b7tW4'bSV(&^(n$b7tW4'bSY('[77.bn:u?&fo40)p8m8`>0E,)'-1,)ulk4
-s/_spYGD3)UAqWss1"g'\YT87VuO',s0/s3Z*s\=[f<bDs0oH:]!hXP[f=1Qg7jl4gs#3*Zf/Wu
-k/Xdqe at k"n_V!5[e'Z[odF?XmeCDpsf$Dpuce$gpf at eF#g<A7(bh:dpgYC!,h94R/bM1[pf#u[g
-b1Xe^e]-1g`nJe[g!Idid`KqeajS\\e'lLkdEC+gc-t+cbgt%Xg!7Oic-"\ZcI^(^e]6(fa3rJZ
-e'lFhd`^1hbL4_Ze^D^md`p4fc.1Cmf%8?qd*'DH^Y6rQh9<jmbf/;\`RiDSeBl1^dDaG\`QZiP
-bh'tXf#c"`bB8Mc1IF1Dg!Rggaj/>Pe'u=]d)+2[bKSD]HA%825ug]sMFMBJ5Ad#SDPoO5W]P'r
-4Dgu\Cnj43Tfd1g4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*:(fbl at V8f$hpkccXV]aO/DWdF$(ad`Ttba3i;TdF$"`d)XV_`RE5Re'Z.]d`';V_oL9E
-aOA,OdDaGXa3r5QeBH%bbK8;XajnVUeBQ%^cGe2V`QliJc-aGScc=JXcIL(aeB?4gbL"b^d+$7a
-eB?.ebKeP[cI0q\d`fq`bfnJZb0eJVdETh[cH4>Xa3DuOc-XMVcc=>Wa3W)NdE]_Wcbn)T_p6WH
-c-aGPd_a)S_T10C`mqrIe&0JWajJAUd`oq_c-"P[b14\We]Z(cbK&8Xa4\VUgW at Lkai3)W`SJVS
-h8mRjahuZJ\E)8^d_`?Eb.H*;ZK]r]o%MCWe&^[m^?N\Plc-[+`4k]Y^@9%So"r-3_n#BWZL,E*
-qT?2BbI?fKWU[^)q8Kl1[]92?\GF%QqnTlA^qBNZ^A,OYpVFWA^V9`\])TCPs1>f@]=@mQ\Gs1N
-s1>f@]=@mQ\Gs1Ns1>f@]=@mQ\Gs1Ns1>f@[^3:r1:eqbU_FNG+<S3I/?^3>YTtI(0.j=P,-3(7
-X!Jsj,pKB9,,ut6W[8pi-6fK:,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6
-X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6
-X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6
-X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6X!Jsj,pKB9,-*"6
-X!Jsj,pKB9,-*"6X!Jsi-6f?9,,H\3V'mOa-mGQ;,,Zh5W$`df-R,K7+KQn7W[&al.41`,(VDLW
-^GRhIMhqDAZi at YIs1>f@]=@mQ\Gs1Ns1>f@]=@mQ\Gs1Ns1>f@]=@mQ\Gs1Ns1>f@]t!pS]_01T
-otnH;_S#W[^A#LWotnH9_n>TX^%0(Qo#&01`4PNV^$inOn&2p,`4kTV_X#1Zl,L[*`l.#[`9#(Y
-ilT-tb/EAgb1k(UeAo;Yd`C1laO\_Vgt9ii_mdt<`QliLcd0SVcc+;W`R<&Ne]c(bbK&8Xa4\SV
-grRUna3*;Zb2C7]i5Njkb/q]R_napA`7;`Ge&'8V_TUBEbL+5NdDO/T_p6WJdE]_YcH">Xa3W)P
-bL+AQd`9MXai`#RbL"DVccXPYbg+MXcd'b\cHOGPaj85Wda6Cfc-X_[cd:%edF-OieBl=fa2llN
-b14GTeAT_^`7*,Pf$M at fcG\A\`S/\ZfZhIgcGtWfGX+DMeC2^hcc+5X_p[)RcHsGUeB?+ad!CA)
-00rT8Cl1\tQTo>Z4)UrUDQ5a8W&nmp5&I&YD4s(/V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2RjdEMRepXI[;d*Kk]d)aV^ajJMXeBuFfd)XV^a4&DU
-e'Q.bd)FJ]`RN8RdF#qZf#H"e`mN>VdaZ=gd`:%fakG(ags4+!cHG%hbM:Fcg<[mod)X_c`mrPX
-e^MRkd*C:idb)mmf[%pscd:=jd+H[kf[%pscd:=jd+H[kf[%psd*C:jcIgLhf[.mqdE1%ga4Se]
-f$_[kd`L%faj\_ZdaZ=ceAotea3W;Vcdp+]f#Q(ea3N8VdFH:gd`:%fa4\h[g!Idmd)Xhda4\k[
-g!RgmdDjne`nJeZg<djnd)Oed`n\n[gs=!obJrGdc-=,>k24k<cc=JdcG.E4^rjF7eB,qaaj8DW
-e'Q4gcH4hbakb.^h9<jkc,%ZE[b9*GiS2W*cGIiJ^=^u[hr!&4dEBk`bg"S]bgOk\e'cCeeB-1h
-c-atkc-4qcbM14`gWRdpbKJY`bM14`gWRdpbKJY`bM14`gWRdpbKJY`bM14`m)6jBWiQ0'YlD5C
-s0oK;Y-.f+XT,N/s/E!tYHIo/Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/
-s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/
-s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/
-s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/
-s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Yce#1Y5b`/s0/[+Z`a>7Y5bi2s0Jm.Z`a>7Y5bf1
-s0Ag-Z*"&5Z2_5;s15]>X/Z-)YlCJls3f<\`PgNSbM14`gWRdpbKJY`bM14`gWRdpbKJY`bM14`
-gWRdpbKJY`bM14`f?VLad`KY^a3)rQbga\Xe&Te_a3`8TdF$"`d)XY_a4ASWf?VFgcH"S^a4SYW
-f$DIcd*0h`cHjn`cdC%adE^(ccHXe_c-jnWbK&5ifYPSEe(E0odETk]bg=qhcd^4feAp+g`mrPX
-e^MOhd`0kd`n8_Zg!Rgnd)Oed`n\n\h9O'ucH"hfa5G4_g<dmfe]5nca3</Ubh'k[f#Q+ea3iGX
-daZ=ceAp%ea48V[f$_[kd`L.ha4\h]f[7gkd`p7hcI:4ee'cOjda6Ikd*pFie'cUhcHObcd+6Xm
-eBlOhc-4Y]c.:7ie^i-if#>Y]_TCBGbgjSWd_sY^`7WARgW[Xmbf/Mba55"YhTNltH?Mn?1uQ['
-f#u%\d)"/\`6Q`HdF?@adEm5nNA*Xu;/D+ZCR78&T0$qg3,Y`UDl>^7V`\jl4DpiSDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLFn`da?;;r:e^icHsn[
-da-"`d)jb`ajnb\eBl7cd)XY_a4/JVf$D=bd)FS^`RN8Qda,_Vd([oR^sUKFdEf_XcGe5Va4/AS
-e]c(db/`8Y`SJVSi5`aq`kpfU_V`GMda#_SdDF/U_TpNFcHsGSd)+2V_pZiJeBPn\c,8,V_q*&L
-fZV1bbJW#U_qE2MgWIFebJMrT_q</Me]bq\c,7uT_pZiJda#h[cGe;X`RW2Mf#u%bbJi5X`RrAQ
-eBPnYcbe)U_U6]HdEf\Wcbe#S_p?ZHcd0MSd)4/U_p6WHcHsJRdDO8V_p?ZJg<e0m`lH?B`S/nn
-daHLdda#eUaOB"ubLY%`f$M^ld*^=he'cUod*UFkd+-OlaN`)Uf at eF$g;D7_`6Q]VgY0j#e$6Kn
-b1"_]da64dcHOb]c-jh\d`ftabg4\\e'HCjcHt(dd+$@feBZFjcHt(dd+$@feBZFjcHt(dd+$@f
-eBZFjcHt(dd+Z^fkfh69aN!\mb2pLUiP)tqccu"*bh]k?kf1R)`l.)\`9>4Zk/YF&a2I,\`9,+Y
-k/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Y
-k/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Y
-k/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Y
-k/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9,+Yk/YF&a2I,\`9>4Z
-l,L[+`l.,]`9G:[l,L[+`l.2^`9YC\m)I$6aN3_d`9Y=YkeP"+bfo%V\_k0;g<@djcHt(dd+$@f
-eBZFjcHt(dd+$@feBZFjcHt(dd+$@feBZFjcHt(dd+$@df$DCfcc+J]`RN8Rf$D=bd)FM]`RN8R
-e^MRhe&U"fa4&MXe'l at ceAp"ea3iDYcIC4be^D[ld`g7icIC:feC)Xlda$@jbL+Yii82Z)cd1.j
-^r4.6cd'DI`S95&d`oh^c,8&U_plrKda#bYcGS&U_p?ZHcHsJSd)4,U_TUBEbL48Nd_a/U_U$QG
-fuh:hai2rU`RW2MeBPt^c,J5W`R`5Of$)%^beqlS_pZiJeBPn^bei,W_qiDOgr[Igb/;lT_puuK
-eBPnYcbn)T_p6WHc-O8Oc,%cN^sgQEe]Ye\ahZTL^Y-WAgWd[jc,A8[`7WARf?V at ecGeD\`RiDU
-fZhIlccP"da55"[OEbqE2)OL>b2(.Ve^)([e\oe\_U?oVc-ambKT.ZO<DmUi7Ve>TD4`k,V`/Oo
-2fGWRE2Pa8UH<Cf4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHF_ac-k"`r;HB>e'?=db0nVWe'Q4dccO_ab1=nZf$DCfcc=V_a4JVUf$D=ecGeD]`7`SU
-f[IXgd_s\b`mrPYe'lFfe'$4hbLP%af[7mtcHG+ialCRbk/t^-ai<Ab`7EDSce$%]f##hc_U?uO
-e'u7be&9hd`7EDUf[@dmdDjnea5#"]gs=$scH"be`o#(]hp06tcc4bd`nJe[g!IdldDsnea4Se]
-g!Ijod)k"fbM:Cdh9O4$c-+qgbLk4_e^MOhd`0hd`mrPXe'l at de&TndajS\\dF?:ceB?1gbKn_^
-cIU1af#uIjc.^atf?V^se^_sfaiqrMd*U(_ccjefda$=fcI:+dda-:gcdL4eda?Cjd*L+edEBnd
-c.:Xme^q^`cb[`HaO/Aag=kBAi69TncHsb[dE9e^aO&;Td*TeZd)OGZaO&8Vd*Kt`ccsh_c-Xe]
-d*Kt`ccsh_c-Xe]d*Kt`ccsh_c-Xe]d*Kt`ccsh_c.CUs`lGp>c,e)P`lu]Kf\+a*f$`4&da?Fc
-dEp(ad*0nabL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\
-d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\
-d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\
-d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\d*^%`dEKtbbL"Y\
-d*^%`dEKtbbL"Y\d*^%`dEL"bbLFk^eBc=hcHOeabLXt_f$;IicHOkbbL=YVg="=!ccsn\a3_oI
-h:9s.e'ZReajAAYd*Kt`ccsh_c-Xe]d*Kt`ccsh_c-Xe]d*Kt`ccsh_c-Xe]d*Kt`ccsn`bLXqX
-g!%Cdc,A5Y`7E2Of$2.`cG\8Y`7<8TeC)@dd`0_``mN8TdF6+_e&Kb`aO&D[cI:%`e'61ec-Xn`
-d*g1cd`p.ec,Rf at bKS#Sd`p at pda-:`iSr\3`PC$RcdpLgf[7mpdEC1ibLY(ae^DRge&g%fajJV[
-cdg(]f#Q(f`m!&Sbh'kXfZ)@ha5G1bjN>[(bfehfbM:Cdg<[mrccOtgakY4ag<dmnd)Xeda4\k[
-g<djscGnee`o5.^i6B<ucH"_da4\h[f[@djd`0hd`7EGWda5h\cbJ5a`8T7eiR>g)d)4he_VrYU
-ho`ppbJi5[`RrGUf?VFfcc=P]ajeYYf[7mpc,n\aa,PCg9K+fibKAV^_q!)Ldac:^d)+5[bK\G]
-H\@A45ugfuMFMBJ5Ad#RDPo at 2W\nao20#NRE2,I4Tf[.g4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Igd*9tdbkqD6e'u[iccX\^aOAMXeBc7gd)stca4JVW
-f?VFgcH"S_`RiDSfZqIfcc"D\^X^]Ee^)([d)4;Y`6clNcd9bYdE9b^b0JDWcd9bZdDjP[`7!#M
-e'Gq\cbn5Y_:-cIe'Gq\cbn5X_pcrLe'Gt]cc";Y`m`5Se]u7dc-"S]b14bZe]l7ecH+S]`7E5M
-f$;1acGS5X`7</Oe]u1bcGn>YaO8DUda-"]ccXS\b0SGWcI'e]d)ab_`7E5Of?M7bc,A2X`7</O
-e'H%^ccFP\aO&;Td*Kk\d)s\]bKnPYcHsb\d)sSV`6HH at g""<pbJV`M_W0A!e]Ph^bf8>]aP"k[
-f[%Xjd)ahcaOS\ZeBu at fdE(7tcHsSEb.tL at dE(J*e(2a\b.tL8ahZTU`n8VWf[%Ricc4Ya`nA\X
-f[%Rhd)OV``miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGVeC)@dd`0njccs_R
-gY13/f$;Xgb0A2M_n`n4ccFV`bgb%_eBuLidE:"dbgk(_e^2Ojd)skcbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_e^2OidE:"dbgb%_
-eBuLidE9e\ajSV[eC2^meBH4_aNi)Ne'cLabJViX`miGVeC)@dd`0eb`miGVeC)@dd`0eb`miGV
-eC)@dd`0eb`miGVeC)@edDjebaOee[f?hUjd)ahcaOee[f?hUjd)ahcaOee[f?hUjd)ahcaOee[
-f?hUkcc4Va`RrPTf[.Ogd)4M__q<>Rf[.Ogd)4nucJ$^ceBG\Ub.Z*?\_P]Td`T8TdDaP[b0nSY
-da$%acHFY^b0nVYda-(accFP\aO8DSe'Gt]cc";Y`7*&Ne'Gq\cc";XaOSPXe]l7ec-"V]b1=hY
-f$2:ec,S>Z`n&DSf$2.ac,A2Y_q*,Ne^)(\cbn;YaOSPXe]l7ec-"V]b1FkYf?D=fbf8;]`mi2K
-e'#PYdDaefa4/JSe'Z%`d`0qb`RrGUf?VFfcc=P]aj\VYdF$(`d*'h`bL=nadEp(cd)gohGXFSO
-g!\*oc,J,X_:-oPcd9PWe'$(bd!LG*0L8]:CPkSsQTo>Z3,b]PE2kd7W&8Rm2fYTPE1o=2V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>XeBlIgdEMOepX at X;
-d*Kk_ccFS^ajeYYf?h[kcc=V_a4JVWf?VFgcH"P^`RiDUf?V at dd)+A\^spcKe'Z+_dDaM\a3`5U
-cdKq]d`]n`bK\MXbga\Xe&BP\`QcoNcdTh^d)=M^`7E8Rf$D=dcc+D\`R`AUeBl7cccO\_ajeY[
-eBc=eccjkabgXn^e'Q:fd)FM]`7E8Rf$D=dcc+J]a4ASWeBl7cccOY_ajJJYcdL"]d`]k`bKSGZ
-cdL"fcc=\``RrJTfZqIfcH"P^a4ASYf$DIfccahabL=h]e'H7eccje`bgFe]dEp(hfZqab^X(*=
-g=+0lah[)nda#V;h9O'qbf/>\`S/SUfZqIfcGe;[`RN8Rf$M at eah6lialLslfZ:\Xah6EQ^Y6oJ
-hpKHtber,X_qE8Og!%@ebf&2Y`7N8Pf$2.`cbn5Y_:-cIe'Pq[d)"2X_:-cIe'Pq[d)"2X_:-cI
-e'Pq[d)"2X_:-cIe'GqZcGe#O`7NM`b/_<IdE:J+f[%d\f at 8'qd)sncb14k]e^2Ijd)steb1G"_
-f?h[jd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]
-e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]
-e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]
-e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]e^2Ihd)sncb14k]
-e^2IgdE9tdb1+h]eBuFgdE9tdb1+h]daH:jf[.mf`QQHBe^_poeBH.\`7EPde'lFed)4>Z_:-cI
-e'Pq[d)"2X_:-cIe'Pq[d)"2X_:-cIe'Pq[d)"2X_:-cIe'Gq\cc4GZaOAGUe'?%`cH+J[aOSSW
-e]u7eccOeaak+h[f?VLicH4\`ak4k[fZqIicGJ;\^=plJg<RFdcG8/Z^=plJg<RF\`jjR@\_,-?
-iRPp&d)+J\^#.D]f$;+\d)j\^bgFe]e'H7ed*'nbbLFk]eBc7fccObaa4JVWf?V at fcGeG]`RrJT
-f$D=_dE0b_bL=h]eBc=hcHFebajeYYeBc7fcc=V_a4JVUf?V at ecGeA]`7*,PdF#q\d*'h`bgXn^
-eBc at jc-+babLk(]g<@[pd`g at ga4AMRf[7agdDa>R^s13AeCMajdDaV^a4/JVe'Q4cd)j\_ajJJY
-d*^%`dEBtec-Xk]d*^$dJ9X4 at 2Up7#cd0SWdDOG_`mN,Me'cLedEm5nNA*Xu;/D+ZCR%,$T/pkf
-2/oQQE2Y^7V`8Xj3cCcTDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOtaeBuM=rUn[ibgOhYda-"`d)jb`ajnb\eBc7dccO\_ajeYYeBc7dd)XY^aje\X
-eBl1ad)=D\`7*,Qe'Z.`dDaM\a3i;TdF$"^dDsY^a3`8RdF#q[d`'V]`R3)Pe'Z.ad)FM]`RN8R
-eBl1`dDaV^`RE5Re'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUeBl7cd)XY_a4/JVeBl7cccO\_ajeYY
-eBc7dccOY_aj\VYdF$(`dE0e_bL=h[eBc7fcc=V_a4ASWf$DIhccO\_ajeYYeBc7dccO\_ajeY[
-eBc=ed*'nbbL=h[e'Q4dd)XY_a4/JVf$DCfcc=Y_a4JVWg<n'jaMHEP`n8\\g=+6teB?4__q*8X
-g!IdjcGS5X`72uIhUTii]sQVFbLt7_f$2.`cG\8Y`7</Oe]u1bcGnD[`mrASe'Gt]cc";Y`7*&N
-e'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'H%^cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`mW2Qda,q]cc4DZ`mW2Q
-da,q]cc4DZ`mW2Qe'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&N
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%acGnD[`mrASe]u1bcGnD[`mrASe]u+`cbn;Y`7<2O
-e]u+`cbn;Y`7<2Oe]u+`cbn;Y`7<2Oe]u+`cbn;Y`7</Oe'H%^ccFP\aOAGUe'?%`cH+J[aOAJT
-e'H%_cc4M\`mrASe]u1bcGnD[`m`8Rda,q]ccFS\aOAGUe'?%`cc4G[`m`8Re'H%_cc4M\`mrAS
-e]u1`cc";Y`7!#Nda,q]cc4G[`m`8Re]u1bcGnD[`mrASi7ZH.d)ObeaOS\Xd*0>Lah?-L`735T
-e'Z.`dDaS^`RE2Se'Q.ad)XV^ajJMXdF$(be'$.dajJMXJ:Dl/4ZM$AcI'qXda,q`d`Kq^a4&J^
-cd:*eKT.WN<DRFg7;S5RD4We,V)WCl3,b`VDPoU6V*&Xj4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RN5U
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_akG:k
-e'?%bd)sh_aNr#Id*'DSb/DfUak"k_c,mcMcH+J\`oGq.g=FO.h:Kur_UHfOe'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`5S
-e'H%_cH+J\`m`5Se'H%_cH+J\`m`5Se'H%_cH+J\`m`8Re'Gt]cc4G[`7*&Pe'Gt]cc4G[`73/S
-`PK")`Ot$[cJ7'ujP\S(]X-MMd*pC]e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaV]ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccObcbL=bXeBc7dccOMU`73,Th:U0/eBZe"d*g7]hqZi.b/;9<^W=C.
-da-(`cH"G^bgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_
-eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdb1+h[
-eBuFgdE'hbb1+h[eBuFgdE'VV`9ZXEgtC,e\$"H:d)X):kN(I:^phe?`RE5Re'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.bccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY]aO8>Rf@%mkc,\Jcc/..&
-`4rk'`4s=0^>Rf"gtC3-dE^:jc-X\Ve^D^nda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFif$hpqda-LncIUFi
-f$hpqda-LncIUFif$hpqe'?Onbgt7gf$hjoe'?Onbgt7gf$hjnd`oYD\CT-SjPeh1^q81Hbf at Z:
-inrD;d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-f$V[kd)s_Y`RrYadEKVXbf7lI_3C"=P`Ul]Kn=\sGC+OUL4Xu9M2$P.H\6fqJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKh
-J:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)]oI!L6iH[pKhJ:)WmI<^9iH%:<fJ:)WmI<^9iH%:<f
-MM?b(DeaZEFa\RYNf&UFJUILpps$t#e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYe^2Iaahulad*p:]eBc7]aMNFQFtP6n>#nWg4?Y\^1dF/d
-69[Os4$62-7n,g47RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.
-7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41.7RBC16:44/5t41,
-7RB=/69dq+5=Rt(7RB=/69dq+5=\(+5Wh&,;,0ME4[qb&`5'(drqk*gaj\VWe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY^ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOPW`RW>Xc,dcWf?r*oak>1h
-gXa`*J:(9k:@R]?s8N&urr<#ts8W&srVQTorr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#urVuors8W&ts8DutrVuors8W&ts8DutrV?6^r;6<ap at SCbrQrm8
-s8W&6^qA.Ca4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7ccH+\gcHjYOg!n<j`k^!G`nJthJq&)24$<QBs8W)up at S+Xqu6Tms8W)urVQTorr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#urVuors8W&ts8DutrVuor
-s8W&mp\"RdrVuorq"OI\rVP$jcgC)ai8<;<d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4V_n=j\eBZ7U
-ccjAfhq5NLYhRgXd*9Sbf[7j^^sC6DdE]ebe]udrc-ahWf$hjld)jSV`732Wg=O^!cH"&H^Y%)^
-h:g?'bJ`/fdDs2=c-!rVe]uXjajA;Pd`ohad`g:ibLb1daMY^EeBZ(M]AM>leBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f76s9>r;Zfqs8W)u
-rVQTdo(E%^s8;`ls8N&urr;uqs8W)uq=jacrVulps8W)uqt^0ap%\Rds7c3]s8N&urr;omrVuls
-s8Dutrr;rorpoRMs8Dutrr;rorr2iqr;-Bjqu6Wps8W)uqY9sfrr;ceq>^Hos8N&tr;Zfrs8W)u
-qY9sdqu6Wps8W)ur;-Blrr;`cq#C?ns8N&mp%\1Mp&G$ks8N&urr<#ss8MrrqY9sfrr;lkr;?Ei
-s8N&jo(E%^s82Wis8N&urr;iiqu?Zqqt^0irr;iiqu$<hr;-Blrr;iiqu?Zqr;-Blrr;lkr;Zcr
-s8N&npA+afs8W)us8N&squ6Wps8Mrrs8N&urr;`cq#C?ns8N&urr<#ts8W)us8N&urVuZdq>^Ho
-qY9sbq>C9ls8W)us8N&hnFQ\Zs7Q!Ws8N&pq"t!crVH<ds8N&op\Ophs8W)us8N&mp%\=Uq>^Ho
-r;-Blrr<#ts8W)urqufjp%\Rds7c3]s8N&urr;omrVH<ds8N&urVuflrVulss8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8Mrps8N&JdaS-jqpNm:e'Q.adDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`ajJDSinrAl!WWH.!!ri0`50%6d)k(rd_`c/hqZc;g!\I#bgOhYeBuFT^:3(Xf@/*g
-eBuFie',qR^Y.2aa2G[SjPA>5b/hQ9ccj?1!!)$9f](f at d*9SnjPA;3akbUtd`ohP_7S(;`SoV'
-g!n=#eBZRiajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]
-d`oh`dE@)iGsFPXs8N&urr3'$"Sqfgs8N$!!!<3"s7GmT!<<0,"pk;1!W`9&s8N&urr;fgqZ$Qp
-s8N$!!!<3"s8W)up at S+Tp\G:*%06G1!<<0+"UGkX(]XL7s8N&op\Omes8W)us8N&urr:m3i;`fV
-s8N&urr<#ts8W)umd0EBrr<#ts7uEcrqufrrr;]ap\O[^s8N&pq"sj[q>^Hos8Dutrr<#ts8W)u
-n*TWCqu6Wps8Mrrs8N&urr<#ts7uEc!<<0,"pkG8"p"]*"p>22rVllu!rr9"!WW?%r;Zfrs8W)u
-s8N&hnFQSSrVulso'l8Jq>BI=l2Ub_s8N$#!<iH%s7uEcs8N&]jlc^F!W`9&!WW<(!!<6%!r)B_
-s8N&lo_/@d!ri,ts8N&urr<#ts8W)us8N&hnFQ\Zs8W)us8N&mp%\Rds7>dQp\"=]rr<#ts8W)u
-#6bD(nFQ\Zs8W&ts8N$("pk;1!Wi?(p at S+Zrr;ceq#LHs%h0'X#n6h2s82Wirqucs!!3K5$NU5/
-s8N&urr36.$2aPrs8N$!!!;ibpAb-ls8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr;uqrVuls
-eC)hDqYS^gc-t%[e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)j\\`si at Xb/_<:_Rn=Faq>3jf at 8'`_7C![!SuJY
-^:Uc(eBQk)eC`<sdE]eYbf.uTa4&DWg"+KmaM at rY!8u\ad*9SL_RnFLc.q"#ccjANa2#sB_pZlP
-]=>,se',kL]]7l$f@%muf?qg__9Bs9e^2I[_nFRGajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX+OV8bMcNr;?No!!<3#s8Dor%hB9=m-YN#('"=6
-mHsBBs8W-!rr<$#naZ5LrVu]hqu$Bk!!!)jnalJJq#CBoq"X[f!sS`)s6f=Es8W,pq>1-l!rr<#
-r;?Qos8Vrlr:]jZs8W-!s8VunrUB=Is8W-!s8W#prr<#urVccrs8W-!s8W-!rr2rts8W-!s7#OK
-s8W-!s8V?Jlh:&IrVccor;Q0Rnc/Xhs8W,qqY^Bns8Dorqtp?ls8W-!rr<$#s8W,sr;Q`rs7c9`
-o^qkWs8VZ\oFVZKio9&!s8Vfdq!RS>s8W-!s8Vrlr;Q]qs8W-!s8W#prpfOM!!!)rq>:0js7uKf
-s8W*'"pk8/s7uKfs8W,sr;Hd#"oA)ns8W*8(E)o=p](9nkih=3s8W-!s7GsWs8W,rqu-Qps8W-!
-rVcclq>:3ls7c9`s8W*!!!3-#!XAr:rr2rts8VQVnGiOjs8W-!s8W-!rr<$#qtp<l!!<3#s7,XN
-p\4I`!!<3#rr<$#s8W-!s8Vunr<Wc<qtp<t#R^1pp%nO_!!!*#s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,ts8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&rrVQWprR96Cqtp3;dEU.ea4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4fe'%mo!8#`F
-o'bea`kTX8^Y at Dgf[\7M!<C-W][tZXeBuF[`P0pPbh(@hf[\9ue',bH]%,6PiSN/p#m/&]]$o$J
-h:g?%ahl9D_V<_jf at 8'te]uLb`STA!e'Q4pgXXHc^Ymksd*'D]eBZn&d`fbJi7lf3ccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl*3B.!<s8W-!
-!!!$!s8W#pqu?]us8W*!!!<#nqZ$Tqqtp9apA"R`r;Zfss8W-!s8W-!rs/l;s8W-!s8W#pr;Zfs
-!!!#trVuots7c9`s8W*#!X/Q's7>jTrVc]gpA"[fs7>jTnF5rIs8W-!s8W-!rr2oho_/=bs8W-!
-l07I4s8Vfdp at n=Ws8W,rqu-Qps7Z0]s8W-!s8W#pr;Zfsrr2oss8W-!s6oFHqtp9js8W)trr<#u
-s8W,cm-YZ+(\[Rts8W,mpA"[fs8W-!s8W-!s8N'!!<<*!s8W,hnale\s8W-!o^qeUs8Vlhq#CBo
-lg*m:s8W-!rr<$#s8W,rqu-NnrqcKh!!!#hnale\s7lBcs8W*!!!<3#s8;fo!!!#oq"jURoDejj
-s8W-!s8W)trqH0_s8W,emdTrDpAb0ms8W,pq>:3ls8N#toCMSRs8N6+"o7ukmdBNCs8N'!!<<*!
-q>'j`qu$Kp!<<*!!WiH's8W-!s8;fo!!!#oq"asj!;ZHfs8W-!s8N'!!;ZHf!!!$!s8Vunq[a;O
-qYL'gs8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuorrVcWns8CEqdJNh:dF-:gd)XV_`RE5R
-e'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYh:gB_!W^`tbeUp%eBuLke'?:`a3i2S$jd%C"p)ic_;aA+#mLD4!!!3*!7T<<
-f$hnH!!!K:#/e6g#mLD4!!(KpbK%Q9gXsuj]sn^e$e*JG!rr>Re^+[0!s8N'dEKV^d`_go!8cDX
-_nNY%_nFUIb1kLoeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGS
-f$V[hc,\D_bCP+f2`<Mcp%/4`s8)Tes8W-!s8Duts8W,t!!!#oq"Fafs8Dons8W-!s8DilqZ$Tr
-q>'jds8D6Jl3.=nnaZ/Ls8DilqZmH3s8W-!s8DfjqY0aW!!!$!s8;ot!!<<(s8W-!s8;otz',)&W
-r;-0^p[n+K!<E3$z!"]\Os8W*!!!!B7$i9_pr;?Hm!!!E9$ig8-s8W-!s8<3/#QOi)!!!#rqtU3l
-!!WW1oCMSOr;-Hns7GsSs8W*!!!*'!s7uKbs8W,mp at RtJo)o0trr2ls!!)]bp&4jd#RC\9z!<<)t
-rr2oss8;ot!!WW1p at e4[s8D]dpAb0ns8W,ko^`%^rs&c4s8W,joC;_Tqt^'^$47.?s8DBRmdp&?
-$k*REs8Dlnr;Q]nz!!*'!rr<$!s8W-!s8;ot!<<)ts8W*!!!*'!s8W,tqtp6l!W`9#s8W,tp at e1[
-!!*'!s7GsSp%@tr)Ar#7nGrXjq>'jbrVQWprriQ.s8W*!!!*'!s7>jPs8W*!!!*'!s8N#qqtp9j
-s8D?PmJm4bs8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!
-s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!
-s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!
-s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!
-s8Duts8W,ts8W&ts82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu-Nis8VuFeBe$ipX.F5e'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`aiD?7f[\=R"98N(!!<3$gXt!*d`p7fb6%_Ef$hq#g=<sN\'r^IeBuLS
-]=%qI!62pj&Io,a^UhV0_\!@bg"+Qna26T`e(WF%f[\=N!!(!T]c%\"!rr>Re^2[fa9;PDf$V[l
-dEC at ud`okMg==O<lK#RcYgh"@eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[j
-ccOV[a4AY]d`oh`dE@)iGtCOps8W&`lfnHLrT<8'o();Ms8D]do`+sls8W&kp at S.TpAb0kq"XR_
-s8DutrVuoro();Ms8<''!rr<!s8W&dn*L)Tz&.f<O!!!0+"98E"mdBEL$OQh3r;Zfq!!!$!s8Dut
-rUojT!!!#sr;$m5%0$8(s8W&ts8;ot!9WG)*#ommq=jphrVuorp%@qRqt^9lr;m$#mdBEA!!*'!
-rVuor!!!$!s8Dopq[!Q6q"XR_s8DutrV-'Z#6tD4!!!$#!"TSLmdBHAs8;ot!:fUJ%hB-Ls8<61
-#P at ZZs8W&pqtU6n!;Q?_!!!$!s8Dfjp](9os8W&qr;$R#"8;H\rr2imqtU<r!<iW/!!!!+$4$h?
-"Shcco^q_Ss8Dutr;Zfts8W&fnaHJVqud-(s8W&oqY1F+$2si"s8W$1&eO[+nc/Xf!WiAsq"F%>
-l2Ue^!!!$!s8DKXn,NFd!!!$!s8DutrVuor!!!#io'l\Zr;Zft$k*ID!<<*"!;uck!!!#pq=jgb
-qYU0c!!!#oq"FafrTNJ-s8W&ts8D]dp&G'js8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8Dutqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82co
-q>^Kle'u_ at r:eUebgXqZe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@d
-a4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2
-UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\
-aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jtldD`u9hV6W.c,e_peH5dOh:gE-ccQOu
-!R&R%gtC3,dED[m!!i`.(DIA^!!(d+dg63ZiSN8?e^+Bu!5u^dgXt!)dEK_P_;3hq!rr>ck2?CB
-!7B*6b/_BRf[C34!6N0nf[J*mbf8/YaiVK8eBc7ed)skaajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX+%;2tQ\1s8Vurs82`mq#CBkr;HEjs8)cs
-!<<)rq"aR^s82irqu?]nkiq1,rqZNlq>^KllKdU+p[S:b!<<)rs8Vrt!s&B$qu?]nq>0dZq=O^e
-qu?]n!!**"s82coq#CEqs8Vurs82K_nH&dms8Vrr!<E0"qsa.Bs8Vs$#Qt,,qZ$Wss8VulqXsmg
-qZ$Ws!WrE+"p"i1!<)om'GV2DlK/'GqZ$Wsp at n.Xs8)cs!;QB^s8Vuhp at 7hLnI?':n*oZ=qXsmg
-qu?]ns8Vrr!<E0"qZ$Wsp at n+X!<<0'!!!$"&.o<N!<DlhoDejf!!*)trV6EmqsEh9s8Vurs8)cs
-!<<)rs8Vrr!<E0"qu?]noCVMKr:^[3$LR9Gs8VuprqZQnq?RB1s8Vurs8)cs!<<)roCVJO!<E&r
-p](<ps8Vrr!<Difnc/[js8Vurs82]kpBCj(rr;ips82Wgoa(s/qYU!QmHFQLq@=,Fqu$3fs8)cq
-qu$Efq"aOj%1)Lpm1pKNo_%_Rs82irqZ$Wss8Vujq"+Ocqu?]nioAnqs82irqu?]ns8Vurs82ir
-qu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82ir
-qu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82ir
-qu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82ir
-qu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ms8Vrqs8)cq
-qZ$Tls8Vrqs8)cqqZ$Tls8VrorqQNnqU<s>qu$08d`U%ca4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^
-ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7
-W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[
-`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ngXaZn
-`lc?=g=Ocsai"Pm"3o!-f[\=N!!(^'dDWl6&.Jofa26-F`llH@#mLFVbf9ec!85rNdE]i9!!)0A
-hSR%=f at 8-jai*&jecPmPc-"!5#Qri6e'udhd*9W9!<CToaN_fCgXaa&dEC7occF#;g==O!ccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl05<JoF
-rVuornF5lGs8DutrU0+?s8W$*$OQFrnc/Xfqtp3^p%/4`rVuorrVcWkr;-<fq>^Kns8W$"!s.o\
-mf3=c!!!#np\"CZq#CBms8W&ts8DNZn-B:(r;?Ejrqm!+"oS;po();Ms8;s!!;H6\!<E2np%/4`
-rV-'Z"U,#.s8;ot!<<)ts8W#t!!*'!rVlfoq>'ad!W`/rq>^Kqs8W&lp[nar"onW$rr2fq!!*'!
-rVZTis8W&ts8;ot!<<)tqtp3aq"FafrVHBc!!!$!s8;ot!<<)t!WiB#rVQQlqtBaUs8W&ts8D]d
-p&G'j$O[:1nF$>VrV#sWrr2fr!<E0"rVQKf%1N^<p%.kLoDejhp at e+Y!!*#tr;Q]ns8W&srql`r
-!<)lnrVcU$$OQ=lmf3=c!!!$!s8;ot!<)ln!WiB%s8;ot!;cQes8W&nq=b$r"98E"p\4@\s8;ot
-!<<)ts8W&rrVHQp!<<)tq>'dVoC;k\rVuor!!!$!s8;ot!;lZhs8W&hoC3G+&G#D]s8W&lp\"Rd
-rVuorr;?Eks8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dut
-rVuors8Vurs82irqZ$Tms8Vrqs82irqZ$Tms8Vrqs82irqZ$TmrVlTls819pcMRP6dF-7fd)XV_
-`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!Ap
-NA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8
-QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`
-aj\VYe'Q4cd)jb`aj\VYhV6N^!!(<f`732Wd*9Q5!<Cd&cHaVO$3pR\dE9VP^]OQ:h:g?)c,S&P
-_up)@d`of@#6E<!aP,1j"98GXf[AU.d`]YGd`ohceBS0s!6iL"'+P;pbJi,_c.((]"TSPKb/EE"
-g<[p[e'?%accOPW`Qu]FeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%c
-ajSGSf$V[hc,\D_bCP+f5X.F3s8W&rrVuots8W-!s8W#pr;Zfs!!!$!s8W-!s8W-!q>'gh"9ec)
-s8Dops8W,lp%A at bs8W-!naZ,W$Ock/qZ-]us8W,rqtp9fqu?]rp at e4[s8N'!!<<*!s8W*!!!*'!
-s8W-!rVcZp!!*'!rr<$!r;?Kms8W-!rs/l9rr2ls!!)onqu?]r!<E5qp\4^fs7GsU!!!$!s8N*#
-!WW3"q"XUm$k2n)p](9n!!!#pq>('js8W-!r;?Hs"pY,-s7uKds8W-!s8VHPliR=ls8W*#!WrE%
-rr<$!s8W,trVccrrr<$!qYL$l"U4_tq>L9j!WiH's8V]^oDejjrVc[%$4?V)q$763qYL'_p\4^f
-s8W-!!s8Ylm-OcPs8W-!q>'jds8N9-#5nDs!!!#sr;?Tps82]j"U,))q"Xmhs8W-!"9\ksnF6JX
-s7Z0[s8W*!!!*'!s8N#ss8W*!!!*'!s82]js8W*!!!)Z`oF;?@s8W-!s8VKRm1'U9s8W*!!!*'!
-s8)Tgs8W*)#RL2!p](9ns8W,io()h\s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W&ts82irrVuops8W&ts82irrVuops8W&ts82ir
-rVc`ks8W&HeBe$hq9dX7e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$A
-cI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7d
-aO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj82MdE]cG&.&F=!!<3$e^DX]`4apX
-dEp.X!rr>eki(7IciX7J#R(26"TSW)!7&^("98GIahuNM`mW,P"98G>^:;tMdEftRi7lcg"9?N\
-]`\<8bJq?3\[1)Cd0p6\b/M*u!!)-=g;Uk=ccX2plK$=8`RN5UeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE@)iGsFPXs8W,trVuots8W-!s8W,sr;Q`r
-s8W-!%hB6P!!3-#!X8i7r;?QjqYU?p"8DQcs8W,hnal;@oDejj!!!*!rVlm!"8Vcis8W-!s8Um0
-hZ*WUs8W*0%h\g?s8N#ts8W*!!!3K7$ig8/s8W,_kj&3Jrt#_S!!!'#!!3-#!r2Qe%hB9Mr;Q`r
-s8Dor#mgt@!X&K'!YQ+[q>'mf!!<3#s8W-!!!!*#s8VNTn-TL2s8W,mpA"Ubs8)Ti"9\r!nale\
-s8;foq"X^cs8N'!!rr<#!!!)rq>:3lrr<$#!!!'#!!<3#s8W-!r;?O&$k<IG#k7?So()GQs8W-!
-s8W-!!!!*#s8N'!!ri3!s8W,lp%SLdrr<$#s8W,oq"jpdrr<#unaZ2R":"`!qu?]us8W-!s8W#p
-rVup"s8W,pq>:*frW3-(s8W,emdU8Vs7>jT!!!*#s8Vfdq"""Js8W*!!!3-#!XK&=s8W-!s8W-!
-rr<$#$O[CD!!<3#s8)Tis8W*!!!3B1#ljr,q"X^cs8W)ts8W-!qtp?ls8VunrVuots8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,ts8W&ts8Dut
-rVuors8W&ts8DutrVuors8W&ts8Dopqu?]pe'l_Aqt\Xfc-t%[e'Z.`dDaS^`RE2Se'Q.ad)XV^
-a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2
-W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z
-_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jkf
-bfn2Ge^DXle'-1``mDuMf[\9nbf.uTa4/MZ`l#I;ccFbhcIpdpaMkmFeBQb!d*TtTeBc7qgt(E<
-e]YtJhqHT1d)sncb0S5KbJq?Yhq?uDf$;CTp[[[j_7S.?a5#:og!n<i`P:Wsh8mLI_S*G0dEC%c
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX+1C
-4obQ^rVc]ps8W-!s8W-!r;?Kms8VKRmJm4dq"XXas8Vojq>'j^s8W,qqYKs\p[I\As8W-!s8W-!
-s8W-!s8W-!s8W-!s7>jRp at e4[s8W)trqcKfoCMSMqYL*dqu?]rs8W-!s8Vunqu?]rs8W,qqYKXJ
-mf3=er;?Ht#7(;/s7>jRs8W,trVccrs82]js8W,np\4 at Rp&G'ls8W-!s8W#pr;ZfsqYL'cqtp9f
-qtg0crVc]ps8W-!s8N#ss8W,trVcWjqu?]rqtp9js8VQVn,NFfp at e4No()h\s8W-!r;?Kjr;?Tp
-s7#OIs8W,trVccrs8)Tgs8W,emdC,Ts8W-!q>'jds8VHPm/-\Ws8W,trVccrs82]js8W,rqtp?j
-rVuotrr2oss8W-!s7#OIs8W,oq"Xmhs7c9^s8W,sr;?3Zo_J=Ys8W,joCN"^s8W-!qtp9js8W-!
-s8W-!p\4F^s8W-!s7Z0[qtp9\naZYZs7c9^s8W,sr;?EfqY^9hn*f`Fs8W-!s7c9^q>'jds8VHP
-m/?n]r;?Kjr;?Tps8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&rrVQWprR96Cqtp3:d`p7f
-a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1c
-e9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4
-V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8
-UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`
-aj\VYe'Q4cd)jb`aj\VYe'Q4fe'-Clbh_"%e^DXhccFtteDT06`l#IDf[7sd_r9J(aMkmNgssp%
-b/qZ<iSN2Af?r=&ccsPJ^:CT#d)tV6hR^+uh:U0.e'6Ooc-+,Be^2I\`4jR?`7ibff$V[``P:9_
-e'ZCZc,dcJb/E#ace6gndEKV[ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_
-ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObc
-bLFk[d`oh`dEBt_a4AY]JUVl05<]&Hs8Dops8W-!s8W-!s8;fms8W-!s8VBLlMpnanF5rIs8Voj
-q=XFRrr2oss8W-!s75aOrVc]fp%A(Rp\Xjbs8W-!s8VTXnGiOgs8W,pq>('js8W-!rr2oss8V``
-o^;/8rVc]ps8W-!s6]4@!!!!#!Wi?%zs8W,trVc`prqZBcs8W-!s8Vifp](9ns8W,qqYKdRo)Jai
-o()AOs8Vcbp&G'ls8W-!s8W-!s7>jRoCMSKq"XLRo`+sks8W,trVcH`pAb0mqYL'gs8W&rrVuot
-s8W,^kNDmFs8;fms8W-!s8W-!s6f=Cs8W,rqtp<hr;?Kjs8W,lp%@hDnGiOgs8W,pq>('js7uKd
-rr2onqYL6ls7Z0[rVc]ps8W-!s7GsUq"XXYp\4^fs8W-!rVc]fp%A at bs8;fmqtp9js8W-!s7#OI
-q"XX\qYL!^q#CBoqYL'bqYL6ls7c9^qtp9fqtpEns8W-!s8W,sr;?Tps7,XLq>'jds8VrlqZ$Tq
-nF5rEqtp<hr;Zfsl07I4s8W-!s7uKds8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-rVcWns8CEqdJNh:dF-:gd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(
-dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYaMkmEe'-1``lH$2f$hjca2#j<^uj\4
-ai;*YjP at nr^=(?Kb/_<Tgst'-cGmc7_S*G=hUp?(ak"k_eBc7ccH+_icdU1\d*'DWcH+\gcIUCd
-gt0s*d`g"Y_p?KDjPSY.^:;tMdEftRiS<#8dEBq]`mW,PeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f5X.F3s8W&rrVuots8W-!s8W#pr;Zfs
-qtp9js8W#pr;Q]pqYL'gs8W-!s7lBar;?Kgq>('js7lBas8W,qqYL6ls8;fmq"XXas8W-!s6f=C
-rr2orrr2<PmJm4dlK[[7s8VfdpAb0ms8W,io()h\s7c9^s8W-!s8W-!s8W-!rVc]ps8W-!s8)Tg
-qtp9js8VNTmf3=ep at e4[s8W-!s8;fms8W,qqYL*dqu$BirVc]ps8W-!s8W-!s8W,rqtp6dqXF"D
-s8W-!s8W-!s8W-!s8W,dmHslNrVuotp\4F^s8W#pr;HTmqtp9_o^r1`s7GsUs8W-!s8Vlhq#CBo
-s8W-!s8Vcbp&G'lp at e4[s8W#pr;-9ds8W-!s8W-!s8W-!nF5rDqYL*dqu?]rs8W,rqtosTo)8Oc
-s8W-!s8W&rrVuotr;?Klrr2flqu?]rs8W-!s8W-!s8;fms8W,alK\ELs8W-!nF5r<o()_Vr;6Bg
-s8W-!s8VrlqZ$Tqrr2oss8VBLlMpnas8W-!s8VHPm/R+cs8W,io()_Vr:]jXs8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVc]ls8W&He'\'iq9dX8e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajnh_
-e'Q4ddE:J+f[.m_hqZc3dE9;>\&cP&f$hjdaMHfjf$DRZda-"V`kUd#hqQ`/`PB(2b/Do[biI[7
-_S*G at iS2Ss_:R,Zg!n<nb/DWK`6ZTEg==NoaMQW[cHsbRd*'DXccP5(fZhLS`4rk1bf8PoeC;gd
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE@)iGsFSW
-s8W&rrVccrrVuots8W&qr;?TprVHBes8W&lp\4^frVuotqYL!drr2rtrVc]ns8W&kp at eOdrV#sY
-s8W&ts8W#pqYU0es8W&go()h\rV60_p\4@\s8W)tr;Zfsqtp3hs8W)tr9`n=p at e.Ys8W-!rT<8)
-s8W&io^qYBmf3=eq"XR_s8W-!rVuotq>'d\q>('jrVHBes8W&Wio:"<rVuotrVcWns8W-!rU]XP
-rVcWns8Vrlq"OOWrr2iqs8W-!rUfaSs8W&cmdC,TrVuots8W&ts8W-!rTNJ/rr2iip\4^frVuot
-s8W&ts8W-!rVuotlg*g8s8VWZn+HAHqYL!es8W)tr;-9dqYL!es8W-!rVuotmdBHAs8V``o)Jai
-s8W&srr2Zdp%eFZs8W&ts8W-!rV-'\s8W&lp\4^frV#sYs8W&ts8W-!rVuotq"XR_s8W-!rVuot
-s8W&ts8VZ\nGiOgs8W&srr2]fp?qA:s8W&ts8Vifp&4jfs8W&pqtpEnrTEA,r;?Eks8W-!rVZTk
-s8W&qr;?TprVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuot
-s8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuot
-s8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuot
-s8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuot
-s8W&ts8W-!rVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Dopqu?]pe'l_Aqt\[fc-t%[
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)j\\a32Q?eBuFW_7Jgjh8$_4ccjAkjPAVEd`TVGf$hjkccFDT`6QQE
-iSN2(^q%e6`73,Tjl"k at c,[B%Y27j\d*'Daf[A3ma3r5Qg!n<nb/E/ie'Q:We'?%]bJi/acHjYO
-f[J*e`4jXC`noCtg!n<ka2-9OajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_
-eBc7bc,\D_bL4YUf$VZlIX+1C49,?Xrr)`os82irrVuoprVZNls82EYnGiOcs8W&]kMuUBrVZQe
-qtg*^p at A7`rVlcks8W&kp$qtWq>L6ds8Mrrs82irrVcZhs8W&ts82Tcp&G'hlg!^6s82cmqYBpY
-s8W&ts82irrVuopp%7hTs82iqr;ZfomHj-<s82irrVcZhr;6<bp[e"InGiLas8W&ts82irrVuop
-r;6<is82BWn,<1Zrr)`os82irrVlcks8W&ts82irrVQHbs8W&`lK8-HrVZQes8W&srV?*Wnb2YG
-p\+7Xr:p<lrVlcks8W&pqY'^Yp&G'hn*]Q=q=XdfrVcZhs8W&ts82iqr;ZforVZNls82irrVuop
-p\+7No'ZMUqu?]nr;6<is82-Ikl:\[qtg*fs82irrUf^Ms8W&nq"4UdrVH?_s8W&ts82irrVuop
-q=s[RnEg2TrVuopq=s[^r:p$[o`+sgoCDDNs82irrVuopnF,cEs82irrVuopnaPuHrqcZprU&t8
-s8W&qqtL-jrVuopqtg*^p at A7`rU&t8s8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuop
-s8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuop
-s8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuop
-s8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuop
-s8W&ts82irrVuops8W&ts82irrVuops8W&ts82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8VuqrV?Knqpa*@r;66:dEL(da4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4jf?hpja4A_`dE]eZc,SAbc.gmu
-`50%/ahlWXbg=VSe'Q4mg=+KraMbp+gXsp$bf85]bL=bXai(pPgt(?8e&]G?eBc7ccH+Vcbgt1b
-eBc7fdEBeU_U[#Ud`ohceBZ(M]AD5ic,dcSe'6RqcHO>Fe'?%accO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVf05<AiEqu6Qis8Vurs82irqu-Hf
-s8Vurs82Zgp&4g`s8Vupr:p<kqZ$Tms8Vufo'ZPXqtp6`rVZHjs82Zgp&G'hs8MllqY'shqsNk9
-s8Vurs82]ipAb0iqtg$Zo^Mn\qtTpWs8Vumq=XU[p&G'hqtg$ds82?Um/R+_s8Vumq=Xdfqu?]n
-s8Vurs82]ip at RtFs8VuqrV?<cp&G'hs8Vurs82Weo`+sgnF,]Cs82cmq#($`s8VunqY'shqtB^Q
-s8Vuip$r(]qZ$Tms8Mlps82irqu6Qis8Vujp at A7`qtTpWs8Vurs82?Um/R+_s8VurrqcNgpAb0i
-p\+1Xs82`kp](9jo^hPOrqcZoqYBpYs8VurrqcZpqu?Zlp@[tUs82N_nc/Xdqtg$ds82`kp](9j
-qYBgas82Qao)Jaeq=sUOn*C#Rqtg-]s8Vurs82]ipAFg^s8Vurs82irqu?]nqtg$drqcKep&G'h
-o'u,EqY'USnGiOcs8Vujp at A7`qu?]nqtg$`qY'a[o`+sgs8Vulq"4Udqu?]np\+1Xs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]nrr)Zms81<pci!\7da?:fd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf[J*g`k^<YcdpLea25LLhUpB*b("e]
-:J=:HmHFTMqYU-^rr)Wjr:g6kqYg?ds8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tl
-s8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqZ$Tls8Vrqs8)cqqYpHgo^hM-h:Vc-qU!U1
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-ai(pIe^*+*e'5tNe'?%P^:9,WJ\&=rlKRBSbf at cD_:[Afbfe#Td`p%\a4&J]e'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+c
-e'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-=JQ
-c-45Rc,eMfdG!:'dEp)0o^BlB^sgZNe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccOtodEKYIc,dcNcH+DW`nJthlK-pjki2XBq#CBhn*K09rV$9kq"jaS
-s8Vlos7lWmpAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*b
-s8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9ipAb*bs8DZkrV$9iq#C<f
-s8D`mrV6Ekq#C<fs8D`mrV6EmqZ$Kfq"=.TqXsd^o^hS<s8VrQgssm#a4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7bc,\5U`mN#Mf$V[md`g(]`RE,R
-in`5)_7J+Baje_\hV6Q0dE9MJ^"(QSccjAWd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:je^2t!d*g7_g"+R&eBcUjbM_4/
-`l#I<d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGU
-e'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr
-4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-d`ohef$N!qbL+PRe'?%X`k]O-\]i+1f at 8!od`Kq``n&V]d*9MXd)Xqpd*'MFe^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]
-e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DXkd`^1hbLP%ae^DXkd`^1hbLP%a
-a2G[:bJ_WH_UHlRc-!rMbf/2`c-OVQe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VY
-Jq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak
-4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%a
-s8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajnb\gt0s'ccODO_:-]NgXaa.g!f$>g"Fs$b/_6<`kBjJa3r;R
-da,qef?W.'cdC%WdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uM
-dE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uO
-dE]e[cH">Xa3i2QdE]e[cH">Xa4Sqfi8)u=f[8U3e^;[_eBuFbbf/,\aj\VWe'Z.`dDaS^`RE2S
-e'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G
-5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQ
-e'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOAM^sL9Df[J+%g!ea.dFHUd
-c,dcB_S"XTcIgXihqQT;gsap*bK\/Eb/V-He&p7iak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(fbLY(af$V[ldEC+gbLY(af$V[ldEBYM^<t0Ebf at QMd)sYU_qNYe
-cH3uYf?Vjla4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]
-d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k
-3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VY
-eBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DWe'Q.ad)jb`a4&DWe'Q.ad)jb`a4&DW
-e'Q.ad)jb`a4&DWe'Q.bccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GW
-eBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GW
-eBl7cccO\`a4/GWeBl7cccO\`a4/GWeBl7cccO\`a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7je^)O__pQ]Jf@%mibJh`I_Um5[hV$B'b/)TSa48SYbK%?Hd)Xtqd+$F_e^;Iecc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8R
-e'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cH+J[aOAGUe'?%`cH+J[aOAGU
-e'?%bd)t%kcHjYOf[S*mc,\bte'#bHg""<qdDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[
-e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso
-5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`
-eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.adDaS]a4&GT
-e'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GT
-e'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GT
-e'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&GTe'Q.adDaS]a4&DU
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7]aMQQWbhUgtg!n<pbf7lI_:d>`eBl7cd)XDQ^s:*=
-f at .mgbJMfWaPPXuf$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^
-f$V[ldEU7ic.::ef$V[ldEC+gbLY(ae'H%kgX=Nq`R<&Lf$_[of#u1S][bELe'Z.`dDaS^`RE5R
-e'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg
-7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'
-p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VY
-e'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RN5UeBc7dccO\_ajeYYeBc7dccO\_ak>1hd`oh^ccO\_aj\PV
-f$V[ldEC7ocd0bPjP\YLh:L?1bgat\d*0DUc,[lB]$ejDda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#Oda#h[c,\8X`R<#O
-da#h[c,\8X`R<#Oda#h[c,\8Wa3r5Sd`on^c,nDYajSGUd`oh\c,\8Wa3)B9g""<lb/)9A]\V8d
-b/V'Uin)Z*`7*,Qe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>T
-f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g
-3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMX
-e'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaV]ajeYYeBc7dccO\_ajeYY
-eBc7dccOhgc.::ceBc7abf8#Q`S&bdf@%m]^U_4r\C/^EbfRfPd)j_^b14q`hV6W1d)jkfcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIg
-f$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'-ClcIUIgf$hpqe'?OncIUFif$_mqda-LmcdpRj
-f$hpqe'-\'eB#VCbfR`_iRlH!_Vj8"aMkg<beqoW`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_
-e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp
-5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>X
-e^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV_`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5R
-e'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7abf88_bh(:ef$V[hc,\Jcc-45ER[&qtOGf6]M0!TO
-MMHe<Jq&2pFbG9nL4ar,IX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTmJq&)uIX?ZrH at gTm
-Jpr&uIX?ZqH\-]pJpr&uIXQfsH\-]nJq&)rI!:R-KoLtDI!KaaIs?3\D#O5%l/pgNdDaS^`RE5R
-e'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt
-:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N
-_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUeBc7dccO\_ajeYYeBc7dccO\_ajeYYccX2Ye'6IkbLk:g
-dEKV]dEBVK]mtHR-mTs8:ea)53)`UH845g/3]BAh4\.t,6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"6pNt)5WqM#5=@b"
-6pNt)5WqM#5=@b"6pNt)5WqM#5=@b$6pNt)5X.Y%5t!t&6pO%+5X.Y%5=@b"7RB=+5!(tj3'&uR
-;,0^2ccH+_p<:Xqe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qX
-e'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g
-3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DU
-e'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4/GWeBc7dccO\_ajeYY
-eBc7dccO\_aj\PVg==Nsbf88_bg+>Jf$V[hc,YB_G["6Mmcs'3o_&7`rV6$Xs8Dlqrr<#trVufo
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tm
-s8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnqu?Tms8;cor;HZnrVufos8;iqqu?]orVufo
-s8;iqr;HZnqtTgTs8Musrr)loq#C?jb/_C!rqjdU^sgZNe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DW
-e^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp
-4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Q
-f$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XY^ajeYYeBc7dccO\_ajeYYeBc7dccObcbLtCjc,dcSe'61[_pm#Sg!n<$J:':31B.4M
-s8N&urr;rorr;uts8N&urVlirs8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts7>dOo^_VRs8Dikps@@1ki_'\f[J<ra4&GT
-e'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-
-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c
-9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DU
-e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.bccO\_ajeYYeBc7dccO\_ajeYYeBc7ccH+SabK\,F
-h:U0&bJhrUaOntdJ:2Z05=#8Js8Dior;-Blrr<#ts8)Nfs8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&rqYU<ls8W&s
-rVQNms8C6fbQ%V at cHXJ[d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(
-dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi
-4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhY
-da-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYg=O]l`4aXHaTr%M!rr<)!W^s+d*KqT
-d*9Q6!W^Eb_;O/#`50%:eBQh'e'6%Qda-"Yahllfe)&j/ai;*IeBQIhaj82Mda-"Zb/;rbd,X';
-d*9SYccFMZa4/MZg"+KmaMH`feCW3pa2G[<c,SDdcHj_Rd*9Scg!\6l`nT.nda,u:!!(j/e'?.T
-e^DXkd`^(baOS_^bK.NFbJ`5je'#hKf[\9h`kU-Tc-=DKg=O]k_n=gZe'?.TeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f<)?HVkN`*HrsT5DoC;JQrr<#ts82Wi
-!<<3$rr;omrVulsp at S+Rp%\Rds82Wis8N&npA+afs8W)us8Dutrr;]ap](6ms8Dutrr<#ts7l<`
-s8N&op\O[Yq>^Hos8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urVuoss8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8Mrps8N&JdaS-jqpNm:e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DU
-e'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl
-3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)N
-f$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ak"qb
-h:g<\!<CTqaiqlDccj?=$jFeo^sL?G#mLCYd)jtlcdL.\aMkm at cH"AZaOeqdeBuFQ]<p;Dd*BhQ
-eBuF`b/;o`cN=.IinrD9cH!`6[`lk1dE]ebe]uC\_U[)Xe^DXgcH"5R`964;f at 8'kbf'hk!8,iI
-_S<V9g!\0h`7WVc&e>8lahl]\cIC7a_S<V at i7[,IfZM7Mh:g?1e]u[lb0.lBiSN20aMH9La3i2Q
-dE]e_d`^"^`mi>VeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE@)iGr7B7
-qt^0irr3!!!YZ.[s8N&op\OphrsoPMr;-Blrr;lkr;Zcrrqufrrr;ceq=!_?s8N&inau>=nc/Ug
-naH&Krr;omrVulsp\"=]rr;Z_pAb-ls8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)u
-s8N&urr<#ts8W)us8Dutrr<#ts8W)us8N&urr<#ts8W)us8N&urr;uqrVulseC)hDqYS^gc-t%[
-e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjke
-HA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n
-7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VY
-e'Q4cd)jb`aj\VYe'Q4cd)j5B]%>HV"9AMHahlQTb3%a>XfA/\k24e?bl[qGbK.NEb/;o`cfX9C
-da-"ce',\D\FK"M_n`h2ccFkndF6Iae^DXid)c at i!7B*4ccjAZe'-Fnc/.4)da-"^cH"8T`SK7s
-ccjA^f?hXZ^X(-Cf at 8%I!!(X#c.U[o`PT7Bg![mX]E8-6bfR`Tf$Daha5Pn,a2G[+]X?A at c0"'A
-[Bcjgg!\O'cFg]nlK@*Mb/<&he()mig"+L!dE9tbajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_
-eBc7bc,\D_bL4YUf$VZlIX+=J6i[2ds8W*5'G^ZK!rVuqnaZ5Ns8N'!!ql6\s8W,ko_/7^s8W-!
-s8W,trVuots7GsWs8W-!s8VZ\o`+skr;?Qos8W-!s7#OKs8W-!s8W&rs82]lrr2rts8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,us8W)us8N&urr<#us8W-!s8W-!s8W-!s8W-!
-s8W,trVccrrR96Cqtp3;dEU.ea4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQ
-f$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9
-da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ngXOa#ape[[g=O^'eBPkF\EW/5
-^V$u-f$=Eu!7]E=%h&UD!!(?h`RE2Ub/_:"!!!*$!"]SDeBuFhd`V^m!"]SDai;'t!!!Q>#/n?h
-jPeep!!!*$!"0&5e^DXid)c at i!9<"jbfR`Kc,L+s!SZ/P#mLA3!!(d+dEg%Uj5AV>d)ce,"jtW9
-bfR^(!!(d+dEK_LinrAj!!!0(!!<3$h:g?7gXH?,!6E-nf at 8%P#6;lc^B4H9e^DXjccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl,4$!?@s7GsW!!!$!s8NE5$NL/+
-s8W*!!!<3#s7Q'Zs8W*,$Om(9!!WW5s8W-!s8N'!!;6$Z!<E3/$P!(5rVZTmq"XUa!!3iK'EA+7
-qYL'aq>:3ls8W-!mdBNCs8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,us8W)u
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVcWns8CEqdJNh:dF-:gd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-c-"#Xe^2.H\I/ZF!rr<*!s$`oakke'a2G^p!!!`H%Eli1f$hnI!<CZubl[qGgXt!(d*'AD]E8-6
-d*9WA$O5A<e(3!n"p4kG`4sgLbQn at PdE]kqin_r)`rc;Ac-"!1"9?Tb_U?cQf$hnK!s#R-W#HQe
-`PT=Af$W1%dDs2?a2G_##Qr&_]abDSj5A\-]suYBc3"%H`l#ODf$Vsnb6%_EbfRd*!!(^'dEg%W
-!rr>Pe'@+9hU9`meBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f
-3]T/!s8Dutrs]DFs8W*!!!)QZnb;eN!!!#Zj5L%<rr<$!q>'jcrqufrrrE-#s8W*"!<<<.#64`%
-p\4Cd"pFu+rr<$!rr2ooqt^*bq?mZ;s8W,np\"@Xq>^Kns8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8DutrVc`ks8VuFeBe$ipX.F5
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`ak5.jda-(bd*(>%f at A<oj5AYo!!)$9g==Wr#mLFTb/M`PaNMZB
-#6Y%dhqA/4!6W@!gXt!3gXZlD#M7JO!rr>B`PBmHaU&.PdE]k\c,^7u"45<6b/_BMe'?Llc-OVS
-'+bQ,g!mgN\D,Zb#R(4kjPL%>!9)efb/_B?`PC?bf$_me!rr<3$jXts_qN_jc-"#[f[Bp&!!`W,
-!rr<'!!!Q>#h at AJ#6Y%agt1?7e,o[Ne^D^S\?ji<d+$C`eBc7dccO\_ajeYYeBc7dccO\_ajeYY
-f$V[jccOV[a4AY]d`oh`dE@)iGt:Fms8W&jp%&.`!<)lns8W#t!!*'!r='2Dp\4@\s8<NA&-)\.
-s8W&enEp8V!;6$V%LrpEqt]pXoDAF\!!!#sr;$R#!rr<$$O[7 at z!<<)tp\4 at Sp@SCbrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuots8W-!s8W-!s8W-!s8W-!s8W-!rVuors8W&t
-s82coq>^Kle'u_ at r:eUebgXqZe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jkfcHj_Tg=Ocn`4s4*]@tlb!rr>J
-c,e_peH5dOf[\?rcH4hndfTRMbfRd/"T[#ubL4_ZcHF30!!(Qtbln.Kf$hq!f[Bp&!8cJ]d*9W6
-!!(p3f>khEh:gE%a26'B_ufu>hV6W2dEL7nciX7Jd*9W<"p)ic_:6lVf$hppd`p_+fE2*Rg=OaT
-!!'aF[cQN)e'Q8F#6N;uak5.jf at 8-f`PBX:_ at I%[d*9YQ`P;QU!85rNda-(feBcXjajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX*Y%/H>bIp%InU!<E)tq>^Kls8Vrr
-!<<*#!<<)rs8Vrr!<DlhoD8 at Xs8Vs!"T\T&qZdB/q>0d]r:g6kq[!T5mI'3=!<E0"qtKmWs8Vur
-s82?WmJm4`s8Vugp$i"]qu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs8Duts8W-!s8W-!
-s8W-!s8W,ts8W&ts8DutrVuops8VuprqZToqU<s>qu$08d`U%ca4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4a
-cH4S`bRFm_e^D^ne'?IjbQ at hFf[\?qc,^4s!mo35dE]k`dEE+0#Kb!%$jd'^bJr;he(iX+#6Y%S
-cH-M&"j>!)cHF32!W^B`_VEho!rr>Fai*)lf>tqH#mLFfgt)W.!7B*6bfRd5$O-b9!79!3"p4kO
-bfA]!fu1_>bfRfNcH- at s!R]37f at 8+V$O4bo_UHlT!rr>Tf@%UR][bHT"p4kXe^2IZ_?U2D!rr>P
-e'>qL^#S&*b/_BKccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl3
-69bAHqu?]p!!!$!s8DutrV60]"U+u.!!*'!rU0+?#mgk:s8DutrVQKf!!!$!s8;ot!<<)tnF5lG
-s8;ot!<<)t!<E2qq"FafrVuor!!!$!s8Drrr;-9bs8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8W-!s8W-!s8W-!s8W-!rVuots8W&ts8DutrVuorrVcWns819pchmY7dF-7f
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYd*'DSb/Do[bQInG&I\jQ#QhcP[+3OGg==LP!!(TtbL4YUg==LP
-!!(NpajSGS"TSN/"98c4!7K-4f[J(J!!(6`_:mGcgXa^S!!(TtbLFk[$3^D4!!!W@#L1?,eBc7_
-b/=Vj!!E9%ccX00!!(TtbL"GO#m:7Ubf8/YajeYYe'?#A"T[&uaj\PVgt0pV!!(X!bgk(_$O-S6
-!!!]D$-pZ1g!n<sccH:i!6;shhqHT)aMJAl!n,?6eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7f
-dEC%cajSGSf$V[hc,\D_bCP+f6:!j9s8W&rr;Zfts8W-!s8V]^oDejj!WiGuq"Xjfrr<#u!!!!#
-!WiW5#lai&s8W*$!sAN#rVQKhs8W*$!sAN#rVuot!!!!0%hAX?!;6$Xs8W-!s8W#pr;Zfss8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8Dops8W,Je'n3kqpEj:e'Q4cdDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYin`5Fgt'cm_oKX,e'?%i
-f?r7"c,df9e'?%ee'61[_p-9>e^2IleBZRiajeYYai(pKf?r*oaj/#GcH3ukki0Y"][Y9Lg==O.
-gt'ls`m)TAf@%mkc,\2S`ST:sdEKVQ`P9pKalqd at e^2Iec,\PgccO,>gXa`sahu!/\)lQ%d*'DS
-b/Dr]c-stZg!n=*gXXZo`QQ9:f$V[gbf7uO`5TO'g!n:W#m9&;e'cL]d`oh\c,\;YaOJPXeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE@)iGst(gmHsBBs8Vfdq#CBos8W,t
-rVuots8N#ts8W-!s8Vrlr;Zfsrr2rdn+$GXs82]lp%A(Zs8W-!s6T+?p\4L`s8VunrVuots8W,f
-n+$GXs8Dorq"X^cs8V]^p&G'ls8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W&rs8W-!e'lkEqu+picdU7_e'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jYX`PoX(`4rk8e'6b&e(N6rcH3uNbJi5ed+[$rg==Nk`4kR"i6oljd`ohceB[.4g!@gZcH3uV
-e'5tO^"h5eb/M-?aMPp3]%PTYai(pAc,\euf$_g`e'?%kg!eBoa1o3mlK-pXf$Lk1X5;OYc,dcG
-a2-EWc/..&f$V[ne'67_`T#_*b/M-RgXX6W\_#9RaMY^=bf8Sqe^;U\d`ohgf[:$-!!N?&e^2I[
-_nFp[e&&f-hV$B*bf8/YajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZl
-IX+CO6i[2dq>'jds8VKRmJ-JOs8W-!s8W-!s6]4 at s8W,mp at eOds7Z0[s8W,sr;?Tps8W-!s8W-!
-s8W-!s8W-!s8W,rqtp*\p at .S@s8W,qqYL6ls82]js8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,trVccrs3oHGqtp9<
-dEg:gaj\YVe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4mf[A3ma5l.2ai(pOgXX<[]A;,ff[J*ueBYqE\(fK\hqHT,
-bJh<1[bB9Xf$V[Z^U`.OdD<K(m-!?\eBZ=[_U[#Ugt0s=jkme_ZeX0[g!n<c^U_e;a3D]Bg!n<t
-d)t4ue'lU`aMY^Mgt']i_;3blf[J*`^U_tEbg=PPh:U01f$M at M\_u5mcH3uik2=%e[GBK`g==Ng
-^q/"?aNr#Ig==Nqb/Du_cHO>FlK-pG`P:6]dbE@"d*'DXccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccObcbLFk[d`oh`dEBt_a4AY]JUVl&2)G:4s8;fmkih71s8W-!s8W-!o()AOs8Vunqu-Kls8W,o
-q"Xmhs8W-!q"XXas8V6Dk5YJ]s8W,ko^qbHoDejjq"XXas8V]^oDejjs8W-!s8W-!s7>jRs8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!rVc]ps8UQse,0%>dF-:gd)jba`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYcH3uPc,\2S`RE,Re'?%h
-f$MmkaNMT=dEKVeg!e<k`RN5UeBc7pgXXcuaO\b^g!n=#eBZXmbK at f=c,dc[gXX?]][P0Ic,dcZ
-g=4?e_9gBEg==Ntc,\>[aiD92`kf:Af$M7G[a<4:i7lfChq>TKYLLn?lK-pD_S"XSd)X#9gXaa+
-f$N.$ccsPJcH3u^gXXTk_pQ]JgXaa#cH+P_b/hK6f$V\!gXXcuaMGNth:U/u`P9 at +\_>T[eBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f5<_4&p%A at bs8W-!s8W,t
-rVccrs8W-!rr2oss8W-!s82]js8W,pq>('js8W-!s8W-!s8W#pr;Zfsrr2oss8W)trr)fos8W-!
-s8VWZnc&Oem-O*=s8W-!s8N#ss8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8Dops8W,Je'n3kqpEj:e'Q4cdDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`akYLqf$V[^_nF^Oc-FGKf[J*nc,\bse^`$hd`ohad`fP?[clc-bJq?EbJhuWak>1hbf at QN
-dEBeU_V*GahqHT+b/E5me]PkGjPSY=c,\Pgcf3d4bJq?IccP%se()gfj5/G4a2-9Oai(s)gXaa%
-d)t"ic.11`bJq?UgXXj$b/_B3e'?%ZaMQ]_d)j5?j5/G9bf8>ccJdR0b/M-EcH+hoda61Vf$V[p
-e^)Xe`oGq.k2G(Ie'6Xud+$C`eBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`
-dE@)iGtgt)m-O$;s8W-!rUB=Gp at e.Ys8W-!rVuots8W&kp at e(JnGiOgs8W&mq"X^^q#CBos8W&l
-p\4LZp](9nq>'dTnaZYZrV60_s8W&ts8W-!rVuotqYL!es8V``o)Jais8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W&rqu?]re'l_A
-qtnghc-t%[e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)j_\a3`#Kg!n=%f$N.$ccX5AccX2Xd`fnS^u*kqin`5?
-e^)%C[GKTciS<#0ahtd#Z/sotf[J*qd)sPO^sC0Ai7lf#^U`4Se'?(Qh:U/l]XGYh[d3)6gXa`j
-^q.h5_r'1tf$V[md`g:ibJ_0+kMk:=`4jC5^YRPjb/M-RgXY*2dF6C^hqHT.c,\VkdETbLgt0rh
-]=#Gd[Hcl2g==Nf^U_b9`m2]Dh:U0(c,[Q/ZdR+=ccX2QbJhuWajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX++?3WK-Vs8W&gna6AVrVuops8W&jo^MbSq#CBks8W&t
-s82Qao_n^_p@\%Ws82BWn,NFbs8W&ts82-Ikl:\[s8W&ts82irrVH?_qYBmcs82iqr9s(=s8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&srV?KnrRB<Br;6<<dEL(da4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4_b/Do[bf[o>e^2I^
-`k^Tif at 8-gccX2UccOSY`lc98f[J*pccOeebg=PPf[J+"f$N'uc,mo<i7lf-ahuWSak"k_f[J*n
-c,\/Q`7ibfg==O#dEBt_a3;T?g!n<sccOY]aO8>RdEKVcf?r:$cG[K.g==O%e'6RqcI0tXb/M-M
-f$MU[^t-oVd`oh^ccOPW`S8tjgXaa'd`g1caN_fCg==NucH+\gcGm]4gt0s.f$Mjia5Yq,cH3uR
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVf,4#[-=qt^$Zs8Vug
-oC)SQpAb0is8Vurs82BWmJm4`qYBgas82]ipAb0iq"OC[s82irqu?]no^hPOs82]ipAY$dqtg$d
-s82Zgp%nLWs8Vupr:p<lqtp6`q"OC[s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vur
-s82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]nrr)Zms81<pci!\7da?:fd)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'?%feBZLea3)B9f[J+(
-gt'6O[#9`ke^D^kd`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLi
-d`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+ce'cLid`p7hc-t+cdEp(\bJr/bdF?XjaiMB[
-ina(kl- at Soe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_aiqfAf[J+#f?r*oaj8,Jf[J+/j5':nkPtJSrVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEgr:g0fp\k$arVZEg
-r:g0fp\t-dp\+.Ws8)cqqXa:Fs8Mios8(^5g!e<ge'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOqmd*p:]d`oh^ccOJS_oBO)ccX2bgt($(bLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^7lc-FMNf at 8(#g!\9na4A_`f at 8'^^UVb>a4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7mf[@s_^rO=)f@%n$
-gXXp(bg+>Jc,dcNd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4jf?hdb_pHZJf at 8'n
-ccFYbbM:e!f at 8!mdDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYe'?%_c,\8Wa4&>Te'?%_c,\D_bM:^sda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qg=OWsc, at rP_pcuQccj;PbJMZP`R<)Pe'Z.`dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajJ>Pf@%mqe'6:a`lc98bJq?BaMQ6E_pm)TeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOAMVe'Q.cd`L.lbh1Iie'Q.^c,A#T`RE5Re'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOMU`6c]Hd`ohb
-e'6e(eD]36gXaa$ccOY^`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_
-cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc4G[`m`8Re'H%_cc42M^XUWNe^;If
-d)Xhibh1Fge^;Ihd`Ktc`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7he'6=ca3i,NeBc7bc,\&K_9U0?f$V[jdE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdaOJVYeBu at edE'hbaOJVYeBu at fdE'kcaOSY[e^;Ig
-d)sndaOSY[e^;IfccP"rd+6UfbfIQGbJhuXa4/GWf[S*ndDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYda,qU
-a1g'NaO/;Ph:g9#ahZHTakG at le'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYc,dcWf?r*oaih]>hV$B#`P:$QbhUn"d*Te]
-e&g%daMc$.g"F^)g!@UT]%,?SdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MZda?:edEU+ec-k"ada?:edEL%dbgOn_a2YsIf?`1)da-7[cHaG]
-f?_^d`R3)Te'Q4cd)jb`bL=h[e'Q:ed)jb`bL=h[g=Od(e'-FncdL.\dE]kbe'-4bak>7ke'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`ak5.ff[\4"f?W1)d*0VIf[\3se&oVF\C8gFe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4/GWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYg==O#
-dEBkY`8KD#d`oh`dEBA?\'`UFcHsPbgsk'5dF?^kcHsPQbJVo`c-ObXcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbY
-d)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP\`m<#QcdBbYd)aP[aNr5Vcd0k^ccse^c-Ob[cd9k]
-d*'b^bKeGUdaQIfdE0PS_p?]Nf\+['f?`4,eCN*of$hpqe'?OncIUIif$hpqe'?OncGmc9bfRfP
-d*'e\aOo%ig"+QoaMZQVbL=hYe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jMR^tRDcbK.H6]sQ24`S/qhe'Q.i
-f[&$na4&DUe'Q.ad)XV^a4&DUe'Q.ad)XY^ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccObcbL4YUe'?%\b/E&cd+$C`dEKUsP`:HRIsH?\F`q_QIs6-_F+AgeLPUP8
-KmeN(I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#JpN!"I"?lqJV&9#
-Jp`-$I=Zs!JUr<%JU`6&I=ZuuJV&<$JpiN7Kn=r*I=?EfI!0sgGB\:NGBe(NG]8.[GCP!aIscHi
-I!:'fGCP!aIscHiI!;!EOb812Mhm"3GB/IlIsZE]s8Vr>ahlNRa4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)XPZ`S/qhbfRZ]iRl;n^<Xp=ccj;Ud)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.bccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEBeU_U[#Ud*'DWcH+P_b0\>NI<orn
-2DJE@<_5nP7Roa/5W_7u4?btj2)[-R5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Is
-5s.Cu4$Z(o5X at Is5s.Cu4$Z(o5X at Lt5X%Fu5!V at s5X7Lu5s.Cu4?u1p5X at Lp4Z>5V0Kq]]8kVTL
-;+Wo72G$M-77KI16U!t,5"7n'7RK@/6U!t,5"7n'7RK@*4ukbe2)I$=77'.28OVIkfB;5Pj5AV>
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYgtC-!aMHZbdb33tai;*>ahm&pf[A*ee'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYg!n<o
-bJi;idac^ed`ohbe'6Lmb^Fe[91h\;l/_R3o_SIYs8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&t
-s82irrVuops8W&ts82irrVuops8W&ts82irrVuops8W&ts82irrVuors8W&ts8W-!rVuors8W&t
-s8Dutqu?]ns8VuprqZToqZ$Tlp%Imrahufcd`p(WdE]k]cH4JZajJDUdE]k]cH4JZajJDU_S<\>
-gt1B9e^W!j4ZYIGbJsS^qU3^2e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ahPKriSN28d)jhdbL4_Xi8)u*
-`P0^D`m`;Ve'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ak"k_dEKVcf?r*oajJ>Pf$V[ldE@,kH94/Is8W&ts8W-!rVuots8W&k
-p at eI`qu?]rs8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&ts8W-!rVuots8W&t
-s8W-!s8W-!s8W-!s8DutrVuors8W&ts82irqu6Wlp\=@[s8)cqqZ$Tlf\+aRs7l0Vli6t[s8Mio
-rqZTnq>^His8MiorqZTnq>^Kko'blDs8$q]DbN_jjl5+dmci9MbL=hYe'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)kA-g<@[UbfR`Gahlc`d)a2?da-"ff$Dglaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY]aO&,Lf[J*lbJhuWajeYYd*'C]
-JUB^I4obQ^oCMYKp at eC\rVuots8W,qqYL6ls8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVuors8W&ts8Dutqtp<cs8Vur
-s82WgoZtn,r;HBGhUp<(bL=h]e'Q:ed*'nbbL=h]e'Q:ed*'k`b14qbcHF4fMhWu?.acP`s8Vr@
-bJ_lVa4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4fe'%mo!#-"P#mLA3!!!B4!SGrJbfR`Nd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7g
-d`g4eak5(ed`ohgf[AI&cHsbRLkU at G5XGGMs8N#ts8W,oq"jj`r;ZfsrVccrs8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!rVuors8W&ts82Wgp&G'hs8Vurs8(6qci*k<d*^%ddEL+fbgb%aeBuLidEL+fbgb%aeBuLd
-bfA2ZbLY.fJ:2Z>:.`LE^]4?1d*9SZd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYda-&C#6NW2da67[e^D^f
-bJj_g!7/m0ccjGL_nP*dg!7d\hV6W%`4t$XdaHIagt0ro_S"g]e]c(MeBc7\a2-N]d+$C`eBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f6pa9;qY^Bns8W-!!!!*#
-s8Vifq>^Kpq>'mf!!<,ts8W-!s8W,ko_/=bs8W-!s8W,cm-aoRs8Dorrr2rqr;QNfqu?]rs8W,l
-p%S:Xqu?]rrr2rts8Vrlr;Zfss8W,qqY^9hrW`Z7s8W,joC`.`s8)Tio^qkWs8W#prr<#uq>'pf
-s8VunrVuot!!!*#s8W-!s8;fos8W,ko_/=bs8Dors8W,np\Fjhs7uKf"U,/+q"k$js8W-!s8W-!
-s8V``pAb0ms8W-!s8VunrV#s[s8W,lp%S7VqZ$TqqYL-^o_/=bs8;fos8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVuors8W&ts8Dutqu-Nis8VuFeBe$ipX.F6dE]kc
-eBcOfak5.jda-(dd`otV_qN_jda-(feBcOfab>=p5s@<Xd*)IhqU<g5e'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`aiVQ=&Io,e_nOUHbM1[ug"+OQ!!(m1f%o'1gtC3"a26?Rbfn2If[\?sccX8F^=(9HeBc7a
-bf8u2i6oljgXaa$ccOMU`73,TeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`
-dE@)iGr[fCrr2rdn+$GXrr<$#"9\r/s8Vojqu?]r$k*XCqu-9`q=sa]rVcckq"k$js8;fos8W-!
-s8W-!s7uKfs8W-!s8W-!s8W-!s8W-!s8V]^p&G'ls8W-!s8Vojqt'FPs8W-!s8N'!!r`)ts8W-!
-s8VunrVuots8W-!s8Vifq>'j`q>'pfs8Vifq>^Kpp at e:XqY^Bns6An9s8W,mpA"[fs8)Tis8W,m
-pA"[frr<$#r;?QmrVuots7Q'Zs8W-!s8W-!s7lBcs8W-!s8W-!s8;forr2rts8V*<jT#8[s8W,]
-k32jFs8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVuors8W&t
-s82coq>^Kle'u_ at r:eUec.(.bf$hpnd*'DF^"Cl^f$hpodEK_P_:$ZPf at 8-ocH1clI6g%We'Q;<
-s8(3kaj\VWe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)k%pdfTRMg=Fa*eBu[gb1G+h"p+eG`50X;`!6AEai2-O
-f at 8<sbl[qGhV-Qm%1(A*`WlPF"98G9\[0l7b6\:Oc,dcUe^)akajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX+CN7K<Dfs8W-!s8N]E'EA+7n*ffHs8VcbpB1U'p\4L^
-rVuots8W-!s8W,trVulrs7Q'ZqYL-is8Vojqsj4Js8W,oq"jg^qu?]rq"X^\q"k$js8W-!o^qkW
-s8W-!s8W-!s8W*0%h\jAs7Z0]s8W-!s8VHPmf3=erVccrs8W-!s7Z0]rr2rts8Vfdq#CBos8W-!
-s8W-!s8N#ts8W,ko_/=bs8W-!qYL-hrr3<4%/p/)s8W,trVuots8W-!o()GPrr<#us82]lp%A(Z
-s8W#prr<#uq"X^cs8W#prr<#up%A(Zs8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!rVuors8W&rrVQWpqpX'@qu$39d`oqT_?Bu@#6Y#/!!!-&!"f\I!rr<7
-&.?q4b1G.hdE]jfJpfpK3Rc?us8VrEd)jb`a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4Z`kqlY!#H:[!rr<'
-!!!*$!:fIAbK%QUf at 0m&!8?#Qd*0V]d*2ar!6<!m!rr<+!W_$-dEp(U&I\luf$Mac`6c]Hf@%mm
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl:8Or.6m/R+cq>'gd
-!!<3#rs]DJrVc]hp\>R?(B=F7p\4FMmdL2V!!!!#!!!#urr<#urr`H/!!!#pq>13p!X]8C!!!$!
-s8N'!!"98Gs8W-!s8W-!rtH._z!!<3#s75aQ!WiH#qu-Qps7GsWr;?Hu#R^J+qtp9h"9\l#p%SLd
-rr<$#q"XUq&/+R)nc/XkqYL$g!!3-#!;ucos8W-!s8N'!!"BAJz!!;lfp at n=W"9\i-!!3-#!:fUN
-s8W*8(E)Z/mf3=e!!!#pq>:3lrr<$#rVc]^mI1)Ts8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8DutrVuorrVcWns819pchmY7dF-:le^2O^`!ZhQ
-!rr<'!!!*$!"B8=_S<\1ccXkhcdC%[Kn=_=4uq*=bQ%V=e'Q4cd)XV_`RE5Re'Z.`d)XV^a4&DU
-e'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd
-3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnU
-e^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY
-gt:-Z!!('W^tI8dcH=2_f[U'(!85oNf$_kH!!([$dG*:&ccaB3!!(s4fa.i`g!nBa]=$SOeI`2o
-['-Iji7cr:d*g1ZeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f
-4?GS's8Dlnr:KXP%hB3Ns8;ot!<<)ts8W*!!!*'!s8W,t&.fENr;-Hns8W,t!!!$!s8;ot!<<)t
-s8W*#!W_c\nc/Xf!!!$!s8Dutrr<$!s8W,emd0uRs75aMq"XUr&J+pArr<$!s8W,oq"Fafs8W,t
-"U,(rm-=WNrs8u:qtp9^oC3%j#QOi&!!!$!s8<<5$NL/,s8W-!s8<?7%/g&"!!!$!s8DT^o`+si
-$k*REs8;ot!<<)ts8W-!s8<!#!rVum!!!$!s8Dutrr`H+s8W-!s8;ot!<<)ts8W,pq=j[Zq"44L
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,ts8W-!s8Duts8W,t
-s8W-!s8Duts8W,ts8W-!s8Duts8W-!s8W-!rr<#ts8W)us8W-!s8W-!s8W-!s8W-!s8W-!rVc]l
-s8W&He'\'iq9dX8da-(\b/MND_A<ms!rr<*!s%$*dFH[ida-(feBcOfab>=p5s@<Xd*)IhqU<g5
-e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`
-cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r
-5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Z
-e'Q4cd)jb`aj\VYe'Q4cd)jb`ajJAU$3gUef at 8I&dG<L,g""LU!s$<V^=1EP!rr>C`PT@#\)ZB$
-!rr>@_S60Q!8Z;Wd*'DYd)lIk!8Z;Uai(p4^q/=QdF?LaeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-f$V[jccOV[a4AY]d`oh`dE@)iGrR`=s8W&ts8Dlnq?R?2o^q_AmHXlX!q5UF*??*blfn?Fq?I6/
-p\4@\s8DZboE>C#s8W#u!<E&qqY^9f!!!$!s8Dutr;cp!s8W&enEp8V!<<)ts8W#t!!!?5#QOi)
-!!!$!s8<''!rMljqtp3[o'l\Zr;Zfts8W#t!!*'!r;Zfts8W#t!!)]bo)f'qqYKse!!*'!rUfaQ
-s8W#t!!*#tr!3Q4h;-ics8DT^nc]1!rr2g2()6T?p](9lmdBEA!!*'!r<NZ5n*fWR%Li1/pBCg)
-mdBEB!<E0"rVlfoqtp3hs8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuor
-s8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8Duts8W-!s8N&urr<#ts8W-!
-s8W-!s8W-!s8W-!s8W-!s8Dopqu?]pe'l_Aqt\Xfc/.1+gXt!(d*'SP_?pMLjl5+2]XQ84aO8DW
-f at 8-ocH1clI6g%We'Q;<s8(3kaj\VWe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g
-5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6
-f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jeabn1Bl]XYAtcHFkidDN`3
-$O6gkg=P38f)l!QccaDhhV/,4!!rf1lK7+/!!(6`_qEPbg!n:M!!(?f`8f_,g!n=&f?r*oajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX*n31]RLPp at n.Xs8)cs!<<)r
-s8Vufo^<%l"98H&qYU!ds8)cs!<<)rs8Vurs8)cs!<3#p$k3L1n*9rQq]$UnlKdU4s8)cs!<)om
-s8Vs-&Ie^>qZ$Wsq>0d[qXsmgq[X5Go(28O"9AK%qu?]ns8VulqXk.%"oA,i!!*)qqXk(!"7bsL
-!!**"s8*!*!quBZ#7(G+q"+F^q#CBk!!**"s8)fu!<<)rs8Vurs8)cs!;?0X!!**"s82irqu?]n
-(DmhZp[S:b!<<)r!!**"s8)cs!<<)r!!*)mp at 7P<l2Ue\s8Vuqs8)cqqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]ns8Vurs82irqu?]n
-s8Vurs8Duts8W)us8N&urr<#us8W-!s8W-!s8W-!s8W-!s8W,trVccrrR96Cqtp3:d`oqS_p6HF
-d*9Yhgt0]h_T^-?ccjGegt1!#b1G.hdE]jfJpfpK3Rc?us8VrEd)jb`a4&GTe'Z.`dDaS]a4&DU
-e'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W
-4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk
-4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKA
-e'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VY
-e'Q4ngXZH,!:fIAcHF5SbfS\peH5dOe'Q:^aMli`d0p9a!rr>YgXlT.!5lRa$O?jdd`g+_`luK>
-%giHfc,Tqe!7oQ at dEKV[ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY
-eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]
-JUVl=9M"O:lMpn_s8W$%"pFPhnc/XfrVcTnz!<<)tq"XO_!!*'!rVQKfs8W$#"9ST%quQp"rr2iq
-s8;ot!<<)tp\4=d#R9tpoDejh!!!$!s8<3/#5\2ks8W&ts8;ot!<<)t!!!#urqu`nqu$Bgs8W&t
-s8;ot!<<)ts8W&mq"=mr"TSN#qYKsf!<E0"r;Zfts8W&srqucpr!!?.rVcTn!!*'!rUojTq>'al
-$4-\3r;Zfts8W&rrVQTnqu?]ss8W&lp[nOf!<<)tp\4@\s8;ot!<<)ts8W&ts8DutrVc]ls8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8W-!s8W)us8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVc]p
-s8CEqdJNh:dF$:le'QXnc.17ee^D^fbJr5ddF?RfccjGXccXkhcdC%[Kn=_=4uq*=bQ%V=e'Q4c
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_bLFk[eBc=fccO\_bLFk[eBc=fccO\_bLFk[eBc=f
-ccO\_bLFk[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYd`ohi
-g=4Bg_Um5[d`ohVa2-!?_1R8b5sRX6s8W&rrVQKh!!!#ko^r1`s82]js8W*!!!)cfp](9no()>O
-!!!QA&-)\1s8W,trVZ`t!WN)trr2lt!<N/trVuot!!!$!s8Vunq[3c>rVc]kqYCO+$31&+"U,&0
-!!*'!rr<$!s8W-!s8Vunqu?]rs8W*#!Wr;tr;-9ds8W*$!sAK!r;Zfs"9\l,rr)p!!VuQeqYL'g
-s8N'!!<)lps8W*!!!!?5$3UJ7!!!#qqYL6lrr<$!!!!!*#mpY3s7Z0[s8W*!!!*'!s8Dops8W*"
-!<N6#s8;fmp at e4[s8VrlqZ$Tqs8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W,oq"Xa`qu?]rs8W,>a2e5[s3]6?eBlIidEL+fbgb%aeBuLidEL+fbgb%adE]k^
-ccXY\abPP!5Wq*[f$XKop<_((e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_akPCng==Nh_7S4Cak5(ei7lf<f[>P.IlB5Cp%A(Zs8W-!s7>jTs8W-!
-s8V``pAb0mp\4L`s8Vrlr:]jZs8W,emdU8Vs8W-!s8W-!s8VunrVQKjs8W-!s8W-!s8W-!p\4L`
-s8V3BkPtS^s8W,cm-aiNs8W-!s8W-!s8Vfdq#:9ms8W,blg=`Ps8W-!qtp?ls8W-!s75aQrVccr
-s8W-!s7Z0]s8W,emdU2Rs8W-!naZ5Ns8W&rs8W-!p%A(Zs8V``pAOsis8W,gnFHVZs7uKfs8W,g
-nFHPVs8W-!oCMYTs8VunrVuotp%A(Zs8Vrlr;Zfss8W,pq>9gVpAOsirVccprVuips8DorrVccp
-rVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccp
-rVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccp
-rVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccp
-rVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccp
-rVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccp
-rVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccprVuips8DorrVccp
-rVuiprVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVuotrVc]orr2rts7lBaf%/F<lg)sGcdL+^da-(a
-ccX\^b0nVYda-(accX\^b1bIqcHF5ZeB`A^E'ccMaMksps8(6mb1"_Xe'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOGQ_Ud,Xf[J+'gXXWm`6lfKbf at P@
-E,.m16N6u`s8W,trVccrs4uMerVc]lqtp$Xo`+skmdBNCs8W)trr<#uqtp9js8V``o_J=Ys8W-!
-s8W-!s8W-!q>'jYo^qbHoDejjr;?Kms8W-!s82]js8W-!s8W-!s8)Tgp%A"Xs8W&rrVZTks8W-!
-s8W-!s8W-!q"XXZq"Xmhs8W-!r;?Kbo^qtTq>^Kps8W,sr;?Tps8Dops8W,urr2rts8W-!p at e4[
-s8W-!s8Dops8W,sr;?Tps8W-!s8W,alK\ELs8W-!naZ/Krr2`hq>^Kpp%A"Wrr2flqu?]rrr2os
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,ts8W&ts8DutrVuors8W&ts8DT^o)Jags8W&e
-nF$>VrP?=bs8W&Kf$r3rc.(.beBuLidEL+fbgb%aeBuLidEL"`ai;64d*9XfKn)li7F9<#s8VrE
-d)jb`a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7e
-d)sqebLk:gf$V[X]slJ9aP>CpP)kJd5X,5JrU]XPr;?Eks8W-!rVuotr;?Eks8Vrlq#10is8W&t
-s8V``o)JailK[U5s8W-!rV-'\s8W&ts8Vifp&G'ls8W&rrVccrrV?9bs8W&srr2inqZ$TqnF5lG
-s8VcboDejjqYL![p%A at brVlfqm-O$;s8VHPlMpnas8W&oqYL!^pAb0mrr2iqs8V``o(i+Ws8W&s
-rr2cjq"XXZs8W&ZjlQOBrVuotqtp3aq"XXZpAb0ms8W&ts8VWZn,NFfs8W&qr;?Bdp[[nGs8W&t
-s8V!6h>dNTs8W&lp\4LZp\FX\s8W&rrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWl
-rVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWl
-rVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWl
-rVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWl
-rVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWl
-rVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWl
-rVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVc]nqu-KlrVcWlrVQQmq>L9hrVlWk
-rVQQmq>L9hrVlWms8Doqq=F4Js8Vurs8Ca/fSG?<DfBKDIsQ]rH at gWmJq&)uIsQ]rH at gWmJq&*'
-L4P5;Jqeo,H$40e2)*P-bkh))dE]e]d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYg==Nqb/DWK`7<5Wd`ohkgt']i_0L3D5X. at 1s82irrUB@Ds8W&i
-p$hD;m/R+_rVcWns82Tdp@\.Lp%@qVs82irrVuopr;?EfqtC'irV?<_q>'dbs82Zhq#(*cs8W&g
-oBuPSqZ$TmnaZ)Cq=O^erVZWhqYL!es820LlMpn]qtp3`q"+OcrVuopr;?Eks82TdpAFmaq>'db
-s82Zhq"X[Ws8W&ena-;UrVZWhl07C/rV6EmrV$!Vrr2iqs82Wfp\t3hs8W&ts82H\o)A[cs8W&t
-s82BXnGiOcio8nrs82irrUTRJs8W&ts82irrV63\s8W&ip$i"]rUfdPrr2ips8)`or;Q`mrr2ip
-s8)`or;Q`ms8W&ts82irrVuops8W&ts82irrVuoprr2ips8)`or;Q`mrr2ips8)`or;Q`ms8W&t
-s82irrVuops8W&ts82irrVuoprr2ips8)`or;Q`mrr2ips8)`or;Q`ms8W&ts82irrVuops8W&t
-s82irrVuoprr2ips8)`or;Q`mrr2ips8)`or;Q`ms8W&ts82irrVuops8W&ts82irrVuoprr2ip
-s8)`or;Q`mrr2ips8)`or;Q`ms8W&ts82irrVuops8W&ts82irrVuoprr2ips8)`or;Q`mrr2ip
-s8)`or;Q`ms8W&ts82irrVuops8W&ts82irrVuoprr2ips8)`or;Q`mrr2ips8)`or;Q`ms8W&t
-s82irrVuops8W&ts82irrVuoprr2ips8)`or;Q`mrr2ips8)`or;Q`ms8W&ts82irrVuops8W&t
-s82irrVuops8Vurs8)cqqu?]ms8Vurs8)cqqu?]mp at n.Ws7uHco`+sfn*oX'3]'&d4$uD"7moR3
-6pF105=\++7moR36pF105=\++3ArTS3A`o]2H<XL5!([Lc,fhYo\\HSe'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj8,JccX2Xd`gFqce-^kg==Nc
-]XEfWK?2*Mf%8<mbf@]B^tml#gtgT&aMZBPbL+b_cd9hae^2dpcIgh"d*^%F\$FW<daZgob0.cK
-cH4_le(E@'c-FDQbJr&^cbRB0e'u\&j5.Mb\_,Tbf@\NlaMZKVcI((bhV[#-ai)NPb2;.3a2l-F
-d`pFte'lgme'u[dbf at rPa5Gq3c-FDL`kg?^eA&f2g=t0*d`p.dbLbCqjQ5:?ai)f`db`m8]tV#0
-g==m1e at N9#`Q#^@d`p:lcbdT6f%8=(gt0ital).5aN;?VhqH?#aM>X)gtgT!_nO(.^X^o_d*^%e
-f$Vgjb0\P[d*^%`dEKtbbL"Y\d*^%`dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIhe'?Cjc-Xk^d*^%`
-dEKtbbL"Y\d*^%`dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIhe'?Cjc-Xk^d*^%`dEKtbbL"Y\d*^%`
-dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIhe'?Cjc-Xk^d*^%`dEKtbbL"Y\d*^%`dEKtbbL4kbdaQIh
-e'?Cjc-k(ddaQIhe'?Cjc-Xk^d*^%`dEKtbbL"Y\d*^%`dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIh
-e'?Cjc-Xk^d*^%`dEKtbbL"Y\d*^%`dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIhe'?Cjc-Xk^d*^%`
-dEKtbbL"Y\d*^%`dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIhe'?Cjc-Xk^d*^%`dEKtbbL"Y\d*^%`
-dEKtbbL4kbdaQIhe'?Cjc-k(ddaQIhe'?Cjc-k(cdaQCfe'6=ibL4kadaQCfe'6=ibMM.0dF-1T
-`4jpYdb!."g=t)e]!UJUgs=3bccjGUbfA&Ra3VuMccjGUbfA&Ra55S%dE]kff@%j`_op-=md'$6
-qXr+U_pcuQe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ak>1hf@%mb`4jC5^Y.,^ki:Lno^2\Yq!mn=q=sR]s7l0Tm/I"Xs8Vrqs7lQjp\OaWs8Vre
-oBZ,CnGiO`s8Vrip[A.]q>'jVs8Vr`mcNs)kl:\Xq=sR]s7cQnqX*\3s8Vrqs7lWoqXX4Bqtg!c
-s7l6Xmf3=]s8Vrqs7l0Tm/R+\n*]H;qt':El2UeYs8Vrqs7kg at irB&Rs8Vrprq?BlqXjFHs8Vrh
-p?qt\qW-_ms8Vrmqt'OSnGiO`s8VrlqXX[dqZ$Tjrr)Wir:L$hqZ$TjmHj$4qXX[dqY0aQo'u)H
-s7lWoqX<n9s8Vrqs7l?^nc/XaoCD;Ks7lTlq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wk
-rq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wk
-rq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wk
-rq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wk
-rq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wk
-rq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wk
-rq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??iq#:9drr)Wkrq??jpAY'`rr2Wj
-rq-3hpAY'`rr2Wjrq,OBj8]/Qs8Vlan`TrPq"aaSs8Vldo^)VXqZ$Tls8Vrqs8)cqqZ$Tls8Vrq
-s8)`lpA"=Ms8Vrlp[\@aqY9aQqY0R4eBQIha4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7_b/Dr]c.CCfcH3uTdEC"aaN294f[\9g`P1$YdG3O,^V at 83
-g="0f_q!;^cHaGVd)ahjcc*l:g=k!"c,J2^bg"DOd*TkYc,J8bcH+)Bf%/-tf$;@X^t.)^c-=5R
-cc=VfcH+)Bc-=5Xe]l^tcdU at dbfn#Zg=!sZ^#%Vsb0%TLd`TeX`7iqncd0Yaf[/!laOAV]_o'+E
-i7Q5r_p6QIbKIfFahcERb0SDSdF$(nhq-,t`Ri_fdF$(^cc=Sdc-FVSc-=5NbJVHD_:-lVe'lLc
-cGmlD^=_)bf%/-qe'$1fb1+qbdaH:dd`TbV_qWqpc-=5Zf?_af`m2lLdF$(ad`U"db0n_\daH:d
-d`U"db0n_\daH:cdE0e`ajJMXdF$(`dE0e`ajJMXdF$(ad`U"db0n_\daH:dd`U"db0n_\daH:c
-dE0e`ajJMXdF$(`dE0e`ajJMXdF$(ad`U"db0n_\daH:dd`U"db0n_\daH:cdE0e`ajJMXdF$(`
-dE0e`ajJMXdF$(ad`U"db0n_\daH:dd`U"db0n_\daH:cdE0e`ajJMXdF$(`dE0e`ajJMXdF$(a
-d`U"db0n_\daH:dd`U"db0n_\daH:cdE0e`ajJMXdF$(`dE0e`ajJMXdF$(ad`U"db0n_\daH:d
-d`U"db0n_\daH:cdE0e`ajJMXdF$(`dE0e`ajJMXdF$(ad`U"db0n_\daH:dd`U"db0n_\daH:c
-dE0e`ajJMXdF$(`dE0e`ajJMXdF$(ad`U"db0n_\daH:dd`U"db0n_\daH:cdE0e`ajJMXdF$(`
-dE0e`ajJMXdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"be]ZFjaj&)Jf at S9ncc+>\aNVlFf at S9p
-cH">XajJDUdE]k]cH4JZajJDUdE]kceBcarccjMLccjG`f@&'laj\V[e^DXid)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYbJq?KdEC:qd+6Ufe'?%b
-d)stgbgb%_e'Q._dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^
-dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDsY^a3i;TdF$"^dDaM\`R3)PdF#q\dDaM\`R3)PdF#q\
-dDaM\`R3)PdF#q\dDaM\`R3)Re'Q4cd*'nbbL=h]e'Q:ed*'nbbL=h]d*9Y[ccXMT`S/qlf[\?r
-cH4kpeBc at Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ak+tbf[J*qd)s_Y`QcK at ccX2Rbf8&S`miDWdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4b
-d`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH4bd`BkbaO8MXdaH.`
-d`0_``mW;TdaH.`d`0_``mW;TdaH.`d`0_``mW;TdaH.`d`0_`aOJV[eBuLidEL+fbgb%aeBuLi
-dEL+fbhh+*gtC3-d`p4db0A)Jb/_BGc,e8V`m`;Te'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOhgc-stZdEKVYc,\>[ajeYYe^2Ijd`g7ibLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRid`L%fajnh]e^DRi
-d`L%fbLP%ce^D^md`p=jc.17ee^D^md`onR_9^?Ge^D^hc,eD^bgt7gcHF5\f$Dgla4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7abf7uO`6uoNg!n=$
-e^)dmb1+bZf[J*mcH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">X`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]e[cH4JZajJDUdE]k]cH4JZajJDUdE]k`dEL7nd,!F+da-(h
-f$W:+eB>qNeBuFfd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYd`oh]cH+SabLk:ge^2IcbJhiO`RN5Uf$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpq
-e'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIif$hpqe'?OncIUIgf$hjo
-e'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hjoe'-Clbgt7ef$hpqe'?OncIUIif$hpq
-e'?OncIUIie^D^kd*'_X`l,^+b/_BJd*'bZa3i2Qe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\PVf$V[ldEBt_a4&>Tf[J+!e^)t"cd0hUccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGUbfA&Ra3VuMccjGU
-bfA&Ra3VuMccjGUbfA&Ra3VuMccjASbf.oP`QucIccjASbf.oP`QucIccjASbf.oP`QucIccjAS
-bf.oP`QucKccjGUbfA&Ra3VuMccjGUbfA&Ra3i2Sf$hpmccXqldF?Rff$hq(hqH8p_:-cOe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOSY`n&P\e^2Ic
-bJi)]bi%7+f[J*a^q/+Ec.::ff$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$Vdo
-dE^=jcIUCgf$VdodE^=jcIUCgf$VdodE^=jcIUCgf$VdodEU7ic.::ef$VandEU7ic.::ef$Van
-dEU7ic.::ef$VandEU7ic.::ef$VandEU4ic.17ee^D^md`p=jc.17ee^D^md`p"X`7NMbcHF5b
-gt0Q`^;7OomHWfP_Rn:Da4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7abf8>ccI^Lgd*'DZdEC4mcFp`nQB@/YIX?ZqH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&uIXQfsH\-]pJpr&u
-IX?ZqH\-]nJpr&uIX?ZqH\-]nJpr&uIX?ZqH\-]nJpr&uIX?ZqH\-]nJpr&uIX?TpH\-]nJ:Dot
-IX?TpH\-]nJ:DlqI!LI#J9Q*ROH59HH$#(+M"C-%f$hjld)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYccjG\
-e'?:`a4JhebfRfZg==-X][4pEe^D^ne'?:`a48V_g"+Qsbf at uN`RiVaeBuFog!J6raMl$,g=OWp
-b/)ofdE]qPe^DRmf$2I^_9L-=dE]_^e&pJ!d*KqRf$hjld)j\\a4&DWcHF/SccG2+g<%@Lda-"]
-c,S;^bLtIm^V$u+eBQk)eBQ.ReBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f3&`]d
-84GKo2+^>.5X%Cr4Zbnm5<qFr5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sIV#
-5X%Iu5X at Y!5sIV#5X%Iu5X at Y!5sRV"5X%J!5!_Ft5sRV"5X%J!5!_Ft5sRV"5X%J!5!_Ft5sRV"
-5X%J!5!_Ft5sRV!5X%J!5!V at s5sRV!5X%J!5!VCr3&`]p<`)(F3^,bh8kDIf_S,gAoZbY"e'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`akYS!bfRfNcH4_hd*U%Yf at 8-ueBd+1fuh@Pjl5+?ai)i^d*KqVbfRf_
-hqHT-bg4MPdE]_dg!J[5eCE!h`PT17d)Xnncc<u9f$hd_`Ot6hfAkf@\[JW_a1gHde'udfbfR`U
-f?i.!c-OVQhV6Pr^:37bgs4*]e'Q4`c,SPldb`a.b/_<IdE9bX`73,TeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[j
-ccOV[a4AY]d`oh`dE@)iGu[gAk2th+s8W-!s8Dops8W,rqtpEns8DoprVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVQQlqu-Kjr;?Eh
-rV63bp$hM<n*oZCs8(6qc-t%[e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)k(reBQ.Tf$hpse^2Ub`l>p1e^D^b
-a263JaOo%i_n`n8e'?1Z`7rqnh:gE"`4sdJakYRt`PT7'^:3.\g"Y0,]Xb?'g!\p=fu_7KgXsp&
-d)jJP_;aA)g"+Kqbf/#VaMYg(f[\9pcH"u'g!%RTda-"Zb/<,le]l7Sda-"P^q%_4_rp+:^:Uc4
-i7ZW+ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX*b+1&q:Rs8W,lp%A at bs8W-!naZ/J
-rVccrs8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W&ts8DutrUKFHs8Vurs82irqo?dqmdKDZ`kKpKa4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4f
-e'?7^`nAqjda-(_c,eVjdbEF'h:gE.d*'ML^t at 2aj5A\5`PC9^eAoMBe^D^kd)jAJ^>I_rda-"\
-bf/,\bLb7gd*9S]e',bH]%>HVe'Q4Y`kTpHa3VuKgtC-8hq5uf^"h;hccjAK`4a1.]^"\<b/_<:
-_Ro$nhTj<_e^DXne]uLb`SK7sai;*FccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl5
-6pgqRs8;fmjlPV(s8W-!s7GsUs8W,sr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kj
-r;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Kjr;?Khr;?Eks8DW`oDejfoCVMOs80p\`W,u7gYC<-
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYccjGUbf:/""U"i+!rr<5%LL+k]ue:1g"+R!ccXPV`n&Vad*9Yk
-hqHQ+bL+VWeBuL`aMZlhf$DR\jl5+Fd*'tfc-FMP]=>31jPS)!_9C$>iSN8;dEL7nd*9_Pd*9SU
-bJ`8leE5fH`l#IAe]uF^_q<Mbg"+L!dE9GF]@tl`bK.NTg!\O'cIpdpeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7f
-dEC%cajSGSf$V[hc,\D_bCP+f5X.F-q>('js8W-!s8W,trVccrs8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVuors8W&t
-s8Dutqu-Nirr;i?ccZ:fqT6mse'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`al2+0!rr>A`4t$XdacdjaMkq.
-&.?k0aMl$0jPen at c,e&J_U-QKai;0Sgt13/d+m=(f$hpgaMl<B_V<\l^qI8.dE^M!e)B-:cHF5`
-g"+[#bf.E4e^D^kccjJL^sC6DjPeh(\$3uo^[14E_n`h6e'-IpcH!l:da,uJ&..4JeAT27e'Q4j
-f?hIP]%#'JeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE@)iGs"/KqYL'gs8W-!s7uKdp\4F^
-s8VTXnGW=arVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]nrVc]n
-rVc]nrVc]nrVc]nrVQQlqu$Bgq"XRUp at 81_qu?]ncHjZ3rqOa``m`;Te'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jGN_ at R.^d*9YYc,e>Zb2_F7[BcpnhV$W7d`]_Lf[\?e_7]4%k1.o)]!nuseBc%I]^+bAbK%W[
-gXscmaO&/QhV-Z#^V&+Ed*BeSaMc!Je'Qn&f?qjcf$_t!e^Dmlb1G.ff[\9pcH!rB]\M2gg"+Kk
-`kU9\dFZmm!rr>:]sdS'lHRJhg=O^&e'-=fajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZl
-IX+.A4T>?Zs8W,np\4^fs8W-!s8W-!s8W)trr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2iprqufrrVuorqYU!ds82irqo6[ns8VrD
-e'$4ea4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4bccQ=i!7B*6f at 8-pccXAL_;jJ.a2Ga?cH-1i!!<3$&.Joc
-`4saHape[]!rr<0#RAMl`<6/@$3g[\bfeAWb7"X]!rr<'!!(p2g&h<T"98GIb/rDif#>J@$O6e:
-!!!<0!7K37f$hhI!s$Wi_ufu>$jd!cd`^(ba9)DB%h&W``kMTU!7]E=ccjAXccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccObcbLFk[d`oh`dEBt_a4AY]JUVl.4Zi]Ds8N#sqYL'gs8VZ\o(MeNs8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,ts8W&l
-p\"RdrVuopqu$3gs80jX_uKc5cHjP[d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBuJI#6N2o`nT.pf$hps
-e^2^hajJDU"p4kLai*&jf#P_D%LWKgcH-.g!9iP&jP\nt!!(s4gZ%)G!rr>Ea2SDh"OYK<e'H;A
-!!(Qsd*'JL"p+h]g"6H/!6)dgeBuLjd`V^m!7K37$3pP5!!(U!bgk.b!rr>Pe'%mo!6`I"f at 8'i
-b/;i\c.(.`eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[hc,\D_bCP+f5X.F3s8W&rrVuots8W-!
-s8W#pr;Zfss8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!rVuors8W&ts8Dutqu-Nis8VuFeBe$ip<h=2e'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajSMX!rr>LccXSXa3;ZDbK.TVg!n<j`X2qPbfRf=]t!4bh?*`Xb/_@;(D=0_Y0G).#mCCW
-bfe&E^^:8LcH=09#RAVr`miA]%1*6ecHXPQ`!6AGb/V=%!!!ZC$j-J0"9AK."T[9.ciX7JdE]ea
-eBQOlb6%_E`l#G"$jGMBeCE!jai;*5^q%tBb1+bZeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYf$V[jccOV[a4AY]d`oh`
-dE@)iGsFSWs8W,trVccrs8W-!s8W,sr;?Tps8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8DutrVuors8W&ts82coq>^Kle'u_@
-r:\Odb1"_Xe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jVX`si at ZgXt!(d*((ld,Ej7]=>30j5'k<!7T<<inrJ0
-_nH3Q!8,iK!rr>dkMjh3`toF#d*0V`eB\I+"528Q$O6ghf[J*e`WlVHf@/+'gXZH,!7fNB#6OtM
-ai)`XbMCn$ai;*8_n6Ni#2%JOdE]e_d`Vju!8?&O!rr>B`P0aFa6DaDe'Q4fe'-=fajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX+1C4obQ^rVc]ps8W-!s8W-!r;?Kms8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W&t
-s8DutrVuors8VuprqZToqpX'@qu$08d`U%ca4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ed`hjo!7&d-bfRfM
-c,eA\b6.hGe'Q8B!s$p$cIL at fcHF33!s$s&cN=.Ib/_BOe^+Bu!7fNBjl5(u!!(a)dK9ILgtC3.
-e'8 at ."N8-hccjEB%gq+Fe,o[Ne^D_!gXOKj_[QqTdE]c7!!(3`_:?uWd*9Q:"oucb^CUhYg=O^,
-g![@:Xk2(IccjAXccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`dEBt_a4AY]JUVl05<]&Hs8Dops8W-!
-s8W-!s8;fms8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W,ts8W&ts8DutrVuoprVlWms819pchmY6dF-1dd)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBuLsgXZZ8!=K/8&e><\%1'JOYgq1Hf at 8+Q"p"f+!#-"RgXt!&cH-.g!8u\ce^DVE
-!W^m'cH!l:'bUo-f$=[.!79!1d*9QA%0kG6c.^dr!rr>A`4asZdK9IL!rr<'!!(Ela6MjG"9AMO
-d)k"nd*9_N!rr>XgXOp-cN=.Ida,uC#m/N"a4&DWeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7fdEC%cajSGSf$V[h
-c,\D_bCP+f5X.F3s8W&rrVuots8W-!s8W#pr;Zfss8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!rVuors8W&ts8Dutqu-Nis8VuF
-eBe$ip<h=2e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajJDUbK.T?_S+:>a4Jhe^V%&Aki:7CcH!l<ccjG]
-eBc%J]?/(/hV6W;g==9`^tRDee^DXY^q&Ufgrd[QaMkmBd)jqjcHaVOc-!rC_Rngbf[J3hda-"i
-g!\F!bLtImf[\9td`]52YgLb:h:g>h\$4rPg<IdXiSN2.`kU?`e(3!lgtC-'cH"D\ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYf$V[jccOV[a4AY]d`oh`dE@)iGsFSWs8W,trVccrs8W-!s8W,sr;?Tps8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8DutrVuors8W&ts82coq>^Kle'u_ at r:\Odb1"_Xe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)k(reC)[ckN(OI
-c,e8VaNhuKiSN8#\[:/FeBuR`eBuLnf$W4'd`KMFeBuLnf$Vmja4/MXgtC&h]X->DcJma4bfRZM
-dE'YX_r0A#da,qef?V:L\(oZ`aMkg:b/)3>^Ymr!dE]ebe^!(-e^;[_hV6Q*bJ`Arf>GD7e'Q4l
-g![s\^=(?KeBuFabJ_oVajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ak"k_eBc7bc,\D_bL4YUf$VZlIX+1C4obQ^rVc]p
-s8W-!s8W-!r;?Kms8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W&ts8DutrVuors8VuprqZToqpX'@qu$08d`U%ca4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4`c,eMdccF)@c-"#WeBch!dEThQhV6W/cH4YdcGdZ6g"+QrbJqoRaOo%ibfR`I
-bJ_oXaO\h_h:g8t`OsgPbL"MPda,q\cGe2V`R2uM_7m>>j4_u/a2c-1h:g9'c,SDdcI1%[f at 8'i
-b/<,le\f25g"+Kh_n>9ti5*.:da-"deBQ1X_:[;`eBuFgccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccObcbLFk[d`oh`
-dEBt_a4AY]JUVl05<]&Hs8Dops8W-!s8W-!s8;fms8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W,ts8W&ts8DutrVuorrVlWm
-s8CErchmY7da?:fd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe^DXkd`]eR^t[MhdE]e_d`^Ctd=Zsr5X.F3rr;omqu?Zqp\"7Tp at nUds82Wgs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2ors8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2or
-rr2orrr2orrr2orrr2orrr2orrr2orrr2orrr2ors8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8DrsrVliqrr;rrs8Drs
-rVliqrr;rrs8N&op\=X]qZ$TorVQN<c--.erQid3e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYg=O^"ccFejccF)>b/_<Dbf,$XG!eS]s8N&l
-o_&%Sq#C<ls8N&urr;uqrVulss8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!
-s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W-!s8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&u
-rr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W)us8N&urr<#ts8W&sccsc8rVjjW_UHlPe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jJP_:I)Ze'Q4m
-g=+X%bhq4+h:g>;MM3rG1&q:Ps8W&srVQWprVulpoCDDIq=jphrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&t
-s8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DutrVuors8W&ts8DHUmJ-GKs8W&t
-s8DfipY"3Ms8W&JeBl[ka4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4ddE:(jc-OVQe'Q4cd)jtlcc*c5FE)+l9hF^;kPG#Krr)Zms8Dutqu?]ps8Vup
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHgr;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEg
-r;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHg
-r;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEg
-r;-?iq#('dr;HEgr;-?iq#('dr;HEgr;-?iq#('dr;HEhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHhr;-Biq#1-erVZHh
-r;-Biq#1-erVZHjs8Dutqu?]pr;66Wmd/WZeGB"8cd'Y]d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe^DXle'-7daO&2Od*9S`f$DU`_jQgO`5B=S
-l/^IIdacjncHXJXccXMVaMc!1f%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-u
-f$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-u
-f$MsudFHgpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-u
-f$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpe^i-uf$MsudFHgpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!
-e^2mtdFQjpf%&1!e^2mtdFQjpf%&1!e^2mtdFQjp`l5d>c,e/RaO&8Uf%&1"f$X*[maBM,e'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj%uGe'Q4i
-f$DmpbL+VUhV6QGki(X_g].<Kq"X at NoBuSUp%S1Mrr2Wks8)cqq#($_r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[qu$*`
-r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_\R[qu$*`
-r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[qu$*`r:^$co_\R[qu$*`
-r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_\R[qu$*`r:^$co_\R[qu$*`
-r:^$co_\R[qu$*`r:^$co_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3b
-qtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco_eU[r;?3bqtBsco`+sfs8Vlm
-r:g6kp\t-dp\4.Qq=NP#f$i!de'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccOY_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jkfbgOhYf$hjkccF8L^rsg8dE]efg!\<paO&2Mh:g?5g!J=!bg=VQbfR`S
-e]cUnbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjmeB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^l
-eB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^leB6 at kbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjm
-eB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^l
-eB6:jbgb.beC;^leB6:jbgb.beC;^leB6:jbgb.beC;^leB6 at kbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjoe&p7jbgt7cf$hjo
-e&p7jbgt7cf$hjoe&p%^`mW2QccjA[eB?Inc-t%[e'Q4X`Os[I`RE5Re'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4he]u:V^Wag:e^DXrg!\O'cHXMLda-"]
-c,A)Xa3r;R`5/t:f$2q#cGdZ2f$hdhcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Wcc+5V`QulLcd0SVcc+5V`QulLcd0SV
-cc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SV
-cc+5V`QulLcd0SXcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_Wcc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SV
-cc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SVcc+5V`QulLcd0SX
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_YcGe2V`R2uMdE]_^e&p4haj/)He^DRecGe,R_pZlNf at 8!m
-dDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'?%_
-c,\/Q`7*#Qf@%mhb/Dr]c.LLie'?%`cH+J[aOAGUe'?%`cH+J[aOAGUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUe'H%_cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7!#Nd*T_X
-d)=;X`6clLd*T_Xd)=;X`6clLeC;Rge&TbZ_Ud;\g=jisc,%fT`R)uMd*T_WcbmuN^sLHHeC;R`
-beVcZajnq`d*T_Xd)=;X`6clLd*T_Xd)=;X`6clLda5q]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7!#Nd*T_Xd)=;X`6clLd*T_X
-d)=;X`6clLeC;Rge&TbZ_Ud;\g=jisc,%fT`R)uMd*T_WcbmuN^sLHHeC;R`beVcZajnq`d*T_X
-d)=;X`6clLd*T_Xd)=;X`6clLda5q]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]
-cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Ne'Gt]cc";Y`7*&Nf at .gl
-d`9b[_V*J^h:^*#be_fU`RE/Oe'Z.`dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_aj\PVe^2Ihd)t"ic.::ccH3uLahu?C_:?oTe^2Ihd)sncb14k]e^2Ih
-d)sncb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb14n\e^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`miGVdaH.`d`0_``mW;TdaH.`d`0_``m)cEe'l at eeB#kX^ra^3f%/!h
-cGJJre'QI[daH.`d`0hfaj\_ZbKIZDbJ20@^!b?KdaH.`d`0_``mW;TdaH.`d`0eb`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`miGVdaH.`d`0_``mW;TdaH.`d`0_``m)cEe'l at eeB#kX^ra^3f%/!hcGJJre'QI[daH.`
-d`0hfaj\_ZbKIZDbJ20@^!b?KdaH.`d`0_``mW;TdaH.`d`0eb`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;CedDj_a`mrJVe^;Ce
-dDj_a`mrJVe^;CedDj_a`mDrGf$_Uje&]kY^s'm5g""6mc,/Jse'l^`e'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOGQ_U6TIeBc7he'6Lmbhh%%h:U06
-gXXm&bLY(af$V[ldEC+gbLY(af$V[ldEC(gbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^4iak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L%fajnh]e^DRid`L%fajnh]e^DRi
-d`K\R^X^cSf at 8!sf$2F\^uOA)`5/t0beqZH^sL?Ee'Q.eeB?Flb2(e!gtC'3gsag%ajnh]e^DRi
-d`L%fajnh]e^DRid`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L%fajnh]e^DRid`L%fajnh]e^DRid`K\R^X^cSf at 8!s
-f$2F\^uOA)`5/t0beqZH^sL?Ee'Q.eeB?Flb2(e!gtC'3gsag%ajnh]e^DRid`L%fajnh]e^DRi
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[k
-d`L(gak"n^f$_[kd`L(gak"n^f$_[kd`L(gak"n^f$_[kd`K_S^XgiTf[S*uf$2I]^uXG*`PK(2
-beqoW`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7j
-e^)msc-abTb/M-2]=$)3a32K<dEKVYc,\8Wa3r5Qd`oh\c,\8Wa3r5Qd`oh[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e\cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#hZ
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_ggsa]t`j)\CmHWZK_77k:`:*'QeBu at jf$2grbL"MPai;$/
-]X-#2`QH68d*9MVcGe2V`R2uMdE]_YcGe2V`R2uMdE]_ZcGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#hZcGe2V`R2uMdE]_Y
-cGe2V`R2uMdE]_ggsa]t`j)\CmHWZK_77k:`:*'QeBu at jf$2grbL"MPai;$/]X-#2`QH68d*9MV
-cGe2V`R2uMdE]_YcGe2V`R2uMdE]_ZcGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[
-cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#h[cGe5W`R<&Nda#hi
-gsa`u`j2bDmcrcM_77n;`:3-Re^;IedDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYcH3uObf8/YakG:kgt0sRrqQNio`+pcs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlo
-s7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhp[mkPqt0pgq!d\5s8Vln
-qt)Nm-.'oVc-!rNc,S5Zak>7kgXspRs7lTjo`+sds8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8Vlos7lWoq#CBhs8Vlos7lWoq#CBhp[mkPqt0pgq!d\5s8Vlnqt)Nm-.'oVc-!rN
-c,S5Zak>7kgXspRs7lTjo`+sds8Vlos7lWoq#CBhs8Vlos7lWoq#CBhs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8MfnrqQNmq#C?gs8Mfn
-rqQNmq#C?gs8MfnrqQNmq#C?gqXa+SqXjgeq"*k7s8MfnqXcNn-.0uUe'Z.`dDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\PVe^2Ihd)sqebKe5Iq"*n'
-d)skaaj\PVe'?%`cH+J[aOAGUe'?%`cH+J[aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOAGUda-"_ccFP\aO8DUda-"_
-ccFP\aOAMXe'Q4`c,S2XaNhuIOH"u\4u_-EcI1%[eBuFgdE:"fbK\2Ip[mk&dE9qbajSMVda-"_
-ccFP\aO8DUda-"_ccFS\aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOAGUda-"_ccFP\aO8DUda-"_ccFP\aOAMXe'Q4`
-c,S2XaNhuIOH"u\4u_-EcI1%[eBuFgdE:"fbK\2Ip[mk&dE9qbajSMVda-"_ccFP\aO8DUda-"_
-ccFS\aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7d
-cH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aOSSWe]u7dcH+P]aO\\Zf$DIebf82YaO//KPDk5a
-4ZD'DcIC4]e'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccOMU`6c]He'?%dd`g+_`rH&5f@%mkc,\>[ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jkabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHF_`bLFk]eBc=fccahabLFk]eBc=fccab]akG:mccX8^f$`:&d<BVK84,VpeBlOa`mDoLe'?+f
-da$7aaT)89f@%smc,nJ]bLFk]eBc=fccahabLFk]eBc=fccanbbLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHF_`bLFk]eBc=f
-ccahabLFk]eBc=fccab]akG:mccX8^f$`:&d<BVK84,VpeBlOa`mDoLe'?+fda$7aaT)89f@%sm
-c,nJ]bLFk]eBc=fccahabLFk]eBc=fccanbbLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;IicHFeabLXt^f$;Ii
-cHF_]akYCndE0Dae^E7&d<T_L8jYbqeBZRja4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7je^)gobL=bXe'?%ZaMRuVpsma6d*'DXccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ak"b\eBc7f
-cHF_`ak"b\eBc7fcHF_`ak"b\eBc7fcHF_`ak"b\eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=h
-cHF_`bLXt^eBc=hcHF_`bLXt^eBc=fccO\_ajeYYeBc7dccO\_ajeY[eBc=ida$RsdE'5?dEK\m
-hqNI"ECrYcdEK\ce^;sqc-st\e'?+\aMe,XqUNs:d*'JZccahabLFk]eBc=fccahabLFk]eBc=f
-ccahabLXt^eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`ak"b\eBc7f
-cHF_`ak"b\eBc7fcHF_`ak"b\eBc7fcHF_`ak"b\eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=h
-cHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=h
-cHF_`bLXt^eBc=fccO\_ajeYYeBc7dccO\_ajeY[eBc=ida$RsdE'5?dEK\mhqNI"ECrYcdEK\c
-e^;sqc-st\e'?+\aMe,XqUNs:d*'JZccahabLFk]eBc=fccahabLFk]eBc=fccahabLXt^eBc=h
-cHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`ak"b\eBc7fcHF_`ak"b\eBc7f
-cHF_`ak"b\eBc7fcHF_`ak"b\eBc7fcHF_`ak"b\eBc7fcHF_`ak"b\eBc7fcHF_`ak"b\eBc7f
-cHF_`ak"b\eBc=hcHF_`bLXt^eBc=hcHF_`bLXt^eBc=hcHF_`ak"b\eBc7fccO\_ak"e[eBc7f
-ccO\_ak"e[eBc7fccO\_ak"b\eBc=kdE^IrdE9>@dEK\ohV3@!ED/bddEKVZd)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYdE]eaeBQCda4/MZe'Q5:
-s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYbK.TLccY,!f%8Etd*9YTaM[)tgs=3bc-"#W
-eBc^pcI1%]da-(_c,e#H_;!Vkd*9SXcH">Xa4&DWda-"gf?h^^_:R2]eBuFog!\F!bK.Z:hqZc.
-bf/Dle',qNgXson_n+g^f#YhCe^2IabJMiXbL4_Ve^2IZ`4P0jgV^h9g!n<ue&oVD\_5Q[i7lf(
-`kTa<_:-cQdEKV^eBQ^tcd9qVeBc7cd)je`aj\VYeBc7cd)je`aj\VYe'Q.ad)XV^a4&DUe'Q.a
-d)XV^aj\VYe'Q4ed`^"^`n&V_da-'gJ9sUI3n2R$dE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYccjG\e'?Xrd)Nu;hqHZ8f@%j^_UQuWdEK\fg==Wraj\V[d*'Jd
-gXb'-d*'MJgt0rq`kBgFa4o7mdEKVVber`-hoj*UccX2RcGeA^bK at l>eBc7_ber/bcd0hSf[J*u
-f$DjlajSMVf@%meahlWVbL4_Xd`ohTa2#s at _VX%saMY^8ahlldda67Ye^2I`b/<#ddFQdjdEKV[
-dE9VN^X:?IdEKVfgss]l_q3D_aMY^Zlf?%#]$&12e'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VYe'Q4e
-d`^"^`n&V_da-'gJ9sUI3n2R$dE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4geBQRlbL4_XcH3uYf[7j\^XLQOgXaa"ccF>N_:mMfaMY^Oi7YfRZK'lrcH3uV
-e]cOhai_Z<g!n<kahZ`bda67Wgt0rn_n+g^f#YhCe^2IabJMiXbL4_Vf@%mic,A/Zb07uCf[J*l
-c,APpe^)IWgt0ro`4OgVdF-@\eBc7^bJMlZbhUn"dEK\ZcH4MZaj\V[e'?%gf?ha^_:R2]eBc7c
-d)XY^aj\VWeBl7bd)XY_a4&DUeBl7bd)XY_a4&DUeBl7bd)XY^aj\VYeBc7ed`^%^`n&V_e'?*g
-J9sXI3n2R"e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajJDSf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`akb\$e^D^V
-]=-GFdalmminrJ)]XQ84aP5 at r`l#O<cH4S`bg+DOcHF5jjPRnl]\M2gf$hjld)jDL^XCHLe'Q4V
-_n=IFaiqlDeBuFdcH"ereBQ.Re'Q4jf?i.!c.U[mdE]_[d)Xqpd+?djcHF)Rd)Xqpd+-Rdf at 8"(
-i7Gi\[arpMg=OX+g<n*b^W4:+inrDNj4r25bK\2Ic-!rC_Rn4 at a4&DWe'Q4cd)jb`aj\VYe'Q4c
-d)jb`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<AbgF_Vf at 8'm
-cH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\V[g"+Ql`PC9^eAAu3cHF5`
-g==Hj`SK7u_7mJ.ccY8)g<7RTbfRfB_S,$hgrRIKj5APBf$2dpb/qZ:e^DR[`4O=<_V3VejPeb@
-dE'VV_V!D_dE]_VbJMo^bh1Ika2G[;bf/;fd*'MHf[\9g`P1!TcIL at dgtC-$bJ`2hdb33tgtC,p
-_RnINcJ at 4'e'Q4X`P1*ZdDj):j5AV?dE:>#eCN*m]=>-#f[8-naPu+0]Xb?#e^!C?gsaWje'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<AbgF_Vf at 8'mcH"G^b1"_Zs8VlC
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ak,%eai;*Qgss<X\aA\Bf$hjZ^:3%Vf#YhEi8)u-
-aMH<NaQMX?d*9SVbf.rR`m)ZBhV6K-d)Xqpd*9_LbK.HMeB?(X^tI;`dE]_[d)Xqpd+?djcHF)R
-d)Xqpd*9_LcHF)Yf?W1)d(d6"hV6K(bJMWN`6??=gXsio`kBsPb0S;Lg=OWi_n+=DakYS!f$hpn
-d*'PN_:$ZNe'Q4V_n=IFaj\VWe'Q.ad)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<Ab1"_Xe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOS[a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jMR`8BA%f at 8+K!!!]F$j-J0%137T'G&U:aUo!h`l#OFf[JC!c-OVSb/_BS
-g!m^HZesQgccjAZe'-%X_ at d@bf$hjqe^!.1f=85k'bUl^#QY#-!!<3$"p4kSd)j;F][P6Lda-"X
-aMHHVbg";JgXsoo`4a:4^Y7;dbfR`Wg!\6l`luQAd*9S]e'-IpcHF;Ff$hjhbf/,\bKe;LinrD<
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]
-e'-7db(G4k69dN\dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jqjciX7J#6Y#/!!!<0!SZ/RhqZfc!!(BjaOeqfj5A\<bfAMleBc at Zh:gE&aMZcbdEg%UcHF/K
-a2$3Pb1Y at la2G[QinMYt_:?uWccjARbJ`Q'grRIKgtC-+d`]nX_qj%qf at 8'nccF_fc-t%]eBuF`
-b/4Yq"4#*.f at 8'd`P0dHaMGU"i8)u/b/:m&ZJjZlhqZc(`kU9\dF6IabfR`MccFYbbMV+*da-"`
-d)jVX`RiVae'Q4R^UDV<a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]e'-7db(G4k69dN\
-dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jqjcIpdpd*9SQ
-a2#X0]%,6Pf at 8'ib/4Jg!5cL\eBuFog![jV]@>6Nj5AV=ccFknd/s at Kb/_<CbJ_`N`So\*cHF/Y
-e]u1P][P6Lda-"XaMHHVbg";JgXsoo`4b$^eC)[accjAZe'-Otd*0VKc-!rbiS)Q!_r0A%e'Q4`
-c,SSne%`Q'kiL[Pe',M:[GTckccjG\e'?1Z_ at d@bf$hjqe]uXja4&DUe'Q.ad)XV_`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]e'-7db(G4k69dN\dE9qba4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7acH"Pdc-ahWeBuFf
-d)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd*'VR_q<Md"p4kKaMZQVc-=DM^V%&!
-aMZZ\d+?dneBuLhd*("hcH4)Bd*9Ycf?i*tbh(@hbfR`ReBJ'q!79!1c-!rJahlfbdF-@^c-!p>
-'+E"&^[14E`50%Ch:C?5dEg%UiSN29dE9AB\^&C:g=O^,g!\9na3VuKf$hjhbf//^bhh+(e^DXl
-e',bH]%>HVe'Q4acH"J`b6%_Ef$hjld)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL"MRf$hjkccUljHU9qXeBuLfcH"Pdc-ahWeBuFfd)l=fps[U3e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q2=!!(g-eC)[cccjG\e'8$q!7&d-%h&]kccXbbbf.H4c-"#O
-bf at oJ_qs/!f at 8-\]<p,:bNe9KdE]eef[7m`_:mMf^qI2.eBQq-f$r*ie'Q4geBQ=``R)lLdE]eV
-ahl`^cc3l8f at 8'mcH"2P_q3D_f[\7L!!(!T]Ah`#bfR`IbJ`l9jj)&ff$hk/ki'Ir]#MY#gXsp*
-eBPhD\)cN%e'Q4bccFAR_pZlPcHF/[f?h[\^uOA+eBu at dd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL"MRf$hjkccUljHU9qXeBuLfcH"Pdc-ahWeBuFfd)l=fps[U3e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4U_Rn(8_r'8"f[\:$f?idEhoE[KiSN/g!!(^'cfjKIgXsp%ccFJX`m;lJc-!rN
-c,Khc!9rY'iSN2Ag!\?raihcAe^DY!h:C?5dEg%UiSN29dE9AB\^&C:g=O]uc,SAbc.U[obK.NH
-c,SPlda-.Ve'Q4ngXNjFZ.dgVccjAWd)kP7ho3IE`PT7 at f@&7!cI^RlbfRfTeBJ'q!79!1c-!rQ
-d)XV^a4&DUe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL"MRf$hjk
-ccUljHU9qXeBuFfd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYdE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe^D^a
-`kg`pg]INVgXt!.f$Vplb2M41gtC31f$Vab`Q#g0f[\?laM[H3k/P<Qg"+L!dE9PL^=:QQe'Q2D
-#6<E,cIUIgf at 8(*i7ZE!`6QQE!rr>@_n=aVdF?Rda2Ga>c,duF^tdVmcHF5TcH5/+gs+!\f at 8-d
-_nOjVdb!!pbfRfZg==*V]?/(/ai;*ViS)Mt_V<_je^DXkd`V^m!8,iIe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VWe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^"^`n&V_da-'gJ9sUI3n2R$dE]ea
-eBQCda4/MZe'Q5:s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY"p4kNbJrJrf\"a$b/_Bd
-lK-"%]`S67da-(ngt0s!ak>7md*9Ybf$VjhaN;H<kN(O8]XQ,,`7ED_dE]kgf[J3laOo%idE]kR
-_nOgTdF-@`d*9Yae^2jpc-jq\g=O]h^q&[jhUBinc-!rgk24"h\'<(5#mLCdgXO!N[GfuocHF/E
-_7J"<`miDY_S<V at i7Z;p_:[;`hV6Q,c,SGfcc3l8hqZc:f[80paj\VYbK.NNe'-\'eBuR\e'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^"^`n&V_da-'gJ9sUI3n2R$dE]eaeBQCda4/MZe'Q5:
-s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYgtC-)d)jSV`6HHBeBuFN\?XoFe,o[NgtC*Y
-!<BmI[F<LEd*9Saf?hjf`SfS'f at 8+K!!'pP]?JC8cHF5E^Uiapj35W`a2Ga>c,duF^tdVmcHF5T
-cH5/+gs+!\da-(]bJqiN`mrM^dE]ksjPRhh]$8C:i8*&6ccXhfcIL at fai;0<`PC?bf%8Etg"+R#
-dEK\N^spcUe'Q2D#6<E,cIUIge'Q.ad)XV^a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^"^`n&V_da-'gJ9sUI3n2R"e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajJDSf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`al)"-a2GaFe^+Bu!8#`Hf at 8-g`kg9VccaDI!rr>XgXZrH$.dSN"p4i-
-!!(<f`kfBuh:g<f$NpP3!!<3$$O?dJ]X?DBcGI?+f at 8'od)k/!e.E/qg"+KpbJ_u\bgXq^e^D\G
-!<<3%!!rf1g=Od'dEVgo!!<3$hV6W2d*2Xm!$E7!!rr<(!!)?Kj5&G<!rr<'!!!*$!6)gef[\7L
-!!!*$!7T<:e'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXf
-c,S>`bgOh[K7J;85<@<AbgF_Vf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aV>Etc-"#D_7\:Fbh(@j_S<\.bf:/""jP3/!rr</#Qr/e^spcUk2Y;#!!!T@#m1/-e^D^o
-e'J0s!8?#Q#mLD4!!(g-eCN'oj5AYo!!!Q>#R(5/!rr>Mcck>'fED<V!rr<'!!([%cF^Tkai;*a
-m,cX?`rc;Ag"+L,gssKb^(1VU!rr<-"p!3%bLk at jf$hhR$j?_5!!ri0kN(IGc,L2""2;CS#R(2;
-$3S2]\`D`'e'Q4J\$4N8bgXqZe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;8
-5<@<AbgF_Vf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ajJDSf at 8'[
-]X?\Rf$DRZgXsp7iS"A6!6`I"!rr>_inM`#_pm)Vc-!p+!!!*$!!i`.!rr>_iSFY:!9iM&f at 8-n
-bfL.q!RoB=e^D\G!<<3%!!rf1g=Od'dEVgo!85oN$O?hI%L^S*`lZ3:f$hnO"p4u/!!<3$f$hpo
-d*:+hbl[qG#mLD9"9H`g`500uh:gBh$O-\5!!<3$$O?dJ]X?DBcI:.\e'Q.ad)XV^a4&GTe'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<Ab1"_Xe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOS[a4JhcdE]e^
-dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)j;F^>7Mng=OaT!!!WB$3L8.'bUtm
-^UiLbg]INVdE]i;!WW<&!7fNBbK.R2$O5YLf`M3Sg"+L-h:BZd^&n?8hV6Q)b/;o`cdL.\dE]eZ
-c,Khc!6iR%aMkm at cH4/G_;!Skf[SC#dE^.abR+OV[^*.Z)Ah)WeBZ4W"p+hWe'PM-Yhe!`!rr>D
-`kqlY!9E+mg"+Kk`kN&o#04Zq&e>8kaMH?Paj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]e'-7db(G4k69dN\dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)c at i!8cJ]g=Od&dEKkX`RN;Zg=OaT!!!*$!9)efeBuJB
-!!(p3f=A>pda-(\b/M`OaTDMCkMtP(!!!*$!7oTE_S3\i"Tloh`rc;AlK73TbfRuG`!$/Ai8!&h
-!!(KpbMV+*da,u:!!)3Ch:^B*^qI2,d`W12#1Lr at b/_:"!!(^'cemO.^qI/`#6</s`rlDCda-"o
-hq5]V[0$C/e'Q2A"99)H$,scniSN/g!!(6b_Vj8$cHF/^g<nBra4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_d*9S]e'-7db(G4k69dN\dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jJP_9pQKiSN2>f$DLZ^spcS!rr>Od`^V+f at A<m!rr>eki't9a9)DBjPeh7
-`kfm?`>B:$_nWng!!(0]`T#b/bK%U)!!(*Y_qWemf[SC#dE^.abR+OV[^*.Z)A`JU!8#]H\[AdQ
-#R0&;fE2*RdETnbd*:V.h?*`Xda$)@!<D-9h9O0`_7dJb!<D0<gB.EUg"+R/h:Tff^&n?8hV6Q)
-b/;]Ta4&DUe'Q.ad)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]
-e'-7db(G4k69dN\dE9qba4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7acH"Pdc-ahWeBuFfd)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-dEK_P_:R2_%LWKZ_7\@JcI1%]g"+Qpai"8]!8?&Q!rr>Tf@%mb`80.t!rr>Lcc?@q!7oWCb/_<M
-e]nC&!6N6qgtC-)d)j\\a4Sqfai;(%"p!H3dacdhf at 8.!eBuXeb6%_E!rr<4$k!.;!8lPb!rr>O
-dEpLodK9ILccaJdf[nTuc3OOTccaB8"TSW)!!<3$"TeZ0"TZik`!HVJda-"`d)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q.ad)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL"MRf$hjkccUljHU9qXeBuLf
-cH"Pdc-ahWeBuFfd)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q2F#m at rQ[G9HbcHF5X
-d`p7fbM:e#!rr>XgXaHb^sUHL&.Jolc,e8Va:&@X#mLD4!!!Q=$cTrt#6P%[eC2jkc.gk$!rr>M
-ccuk%"k(]@d*0\`dEhsq!6iO)%1*4@!!!9.!!<3$#mLCVc,RrJ_;<qre'Q2=!!(Bj`mN)P&e>8d
-_7J7Jc-t%]f$hjpeBJ'q!6r[(ccjAgi7S24!85rL!rr>Od`]qZ`6???!rr>Vg!\9na3MlHf$hdj
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL"MRf$hjkccUljHU9qXeBuLfcH"Pdc-ahWeBuFf
-d)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4he]uXjaj%uGcHF/Pbf/;fciX7JgtC-!
-aMHKXbm4IQcHF/RcGp+k!7fN at e^D^ug"$6*!8cG_hV-Wb!!(*Y_\Eapg""U)eC2dgb6%_E!rr<4
-$k!.;!8lPb!rr>Kc-4kkeCN'q!rr>ReC+L"!6iO)e^;akc-4V]c.gk$!rr<3$OQt9!"B5?"p+eQ
-cH?Is!7oWEb/_BOe]nC&!6N6qgtC-)d)XV^a4&DUe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL"MRf$hjkccUljHU9qXeBuFfd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYdE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYccjGRai*)lf*hrgai;0Yin_Mf]@PHVg=OaT!!(Qtbln.Kda-(W
-`PC3ZdKTdRe'Q2=!!(0^^u!hq`l#Fs#Q`B"aOAMXf$hj\^q&RdgW at IM$jd!mgssWj_U$HHg=F^T
-!!(d*f$r'mbfIg,!!([$dfTRMda$+_b/j_c!8uYeaMc!Qg=ZQ.!8H,T!rr>QeBQCda5#@rf at 8'^
-^UOa]"ObW;`l#ITki'k3`Po^+g"+Knahl0>^YRVke'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^"^`n&V_da-'gJ9sUI3n2R$dE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VY!rr>Re^2R``Rr_ff[\?rcH4P^b6%_Ed*9YmiS;Jl^B4H9f at 8+K!!)!7g!S*eeBlMD
-!!(-[`!$/AeBlOgbfeeof*V]cdETl;!!(^&eCN'qf[S at P!!([$dfTRMd*9Ydf[8*la3VuKg"+Ke
-^q&1Nd*g7]!rr>YgssQf^]OQ:gXsol_7JOZe^W!hf at 8%I!!(9d_p?QGj5ASm!!(^'cN=.IccjA`
-g!\$`^^:;Hai;*He'-Fnc-t%[g=OWg_R at e8_;F(rd*9MQahZNXbLP%_e'Q4ed`^"^`n&V_da-'g
-J9sUI3n2R$dE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYbK.NO
-eBQe%d`oqPbfR`\hU_i0!!<3$#R(21!!!B4!TN"h^:U`U!W^Wna4]%kb/V=,#6r`+d+?ap!rr>G
-aiFYf!Rf9<g=FdV!!(d*f$r'mbfIg,!!([$dfTRMd*0\oi8;Sm_?0c<f@/.M!!)!6gsOBje'H=g
-cd(.kdK9ILda$+\a2Zc]e'ZF_g=F^T!!(d+e'Q@\cHF-4"ou``^>7MlbfRZVg<nBra3VuIccs;T
-dDaqrccjPGe'Z.`dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^"^`n&V_da-'gJ9sUI3n2R"e'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajJDSf at 8'm
-cH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ajSMXg=Od%d)uLk!8,iKhqZi-
-ai)i^d*'MJ"Te\[g=6<,!6N6sinrJ4a2.r[!92ng#6Y%Wd`]VH]A_Vu!rr>QeBQ=``Rr_dbfR`Z
-gst'-c3"%He'Q4jf?hslb0%`A!rr>FaN)HC_rTb5!rr>Kc--P#"OYK<lf[=2!!(9c`o>k2bK%O(
-!!(3_`"!.Zc-!rQd)jb`aTDMCgtC*X!!('X^!P$DbK.NKd)kD/gYU]7da-"bd`]kV^sgZNe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<AbgF_Vf at 8'mcH"G^b1"_Zs8VlC
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aVPX%^V%&7hV#c\]$o$L%h&]hbf9ni!7B*6^qI84
-f[C04!n5N>!rr>C`kg-NbK%N9*>oX4_SH]h#Mdt`cH=2Na2S2]!7/j2#mCCE]"-#)`9#t9!rr>A
-_nm&t%*Q`0eBuFbbf(,&#1_/Fg=O]paMHZbdL$3Ze'Q4acGp"e!7fN at l/pm:]!DJ=!7B*4"9AMN
-ccG,'fY>),!rr>Md)cLq!9rY'\[J]gc,L.u!nG`BeBuF[`P0^D`5op1kN1CSh9jHh^<b$@g=OX!
-d)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<AbgF_Vf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`ak>7kccjAM`kU*RbhC[q!rr>KcH"_nd`oqPjl5%5_7B^K!9N4p'+bK$
-e'-"V_q<Jd!rr>YgY1'"b0\AU"98GXg"=Kg`6-*=!rr>FaN)HC_rTb5!rr>Kc--P#"OYK<^q at 54
-f at C95"4PTA!rr>C`Pg6Obgk+f!rr>Kc--Fr!TDkid*0VL^V1Bn%D]Ze$O?j_ccWu6[d*&6!rr>I
-bf.fJ_V!D_eBu at X`4P!be`#E7a2PU=d`0qjb1"bWe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXf
-c,S>`bgOh[K7J;85<@<Ab1"_Xe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccOS[a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)j\\aje_^`PT;1*#I2TcHshWbK.TLccXbbbRk<kc-"!-!!)KSkK:i^e'Q8C"9?3L[FN^K!rr<0
-#m(2/!!<3$bfR`Nd)j_^aNMZ at d*9S]e'&mR'ue&%eBuFdcH"bpe`,K?!rr<'!!!?1!s8N'f$_kH
-!!(3_`6llPaMbmu!WW<&!#?4X!rr>Zh:UE3cN=.I!rr<'!!(^'cdU7_hV6Nf#Q`]4d/s at KjPeh'
-[]]c5!7]E=hqZ`a!!(Kpa4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]e'-7db(G4k69dN\
-dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jVX`rc;A"TeZA
-((gWK!6r[*e^D\G!W^Kf`QucKi8*#f!!(d+e)K9="p4i.!<<3%!!`W,ccaB6!s$K`_q<Mdk2P8#
-!!(Ekb3nTX!rr<.#6Fu-!"&r4c,muMb/Fhu"9SW(!rr>Da2#g:^WFL1lK@*Ja1qcW!6r[(g"+L*
-g=$-(!!<3$,pF;]f$E"!cIUIg%h&UD!!!<0!9`G!d*9Q>$3SGk^tI;bgXsmb%0jJUZ3((,k2Y7J
-e&ht$!6E0kbf[X%!<D'6eBuR\e^DRab/)QRajnh_d*9S]e'-7db(G4k69dN\dEL"`a4JhcdE]e^
-dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)k(rd`TVGe^DY$i7ZAt_ZKl=hV6Q!
-_RnXXe'l[cf at 8%I!!(9d_oBU,!rr<4%0d=O#6Y&-^Uq#:iS<8BecPmPeBlIcbJrAkf&GT@!rr<'
-!!!?1!s8N'f$_kH!!(9c`m;lLi7uuf!!(d*eDfB>"p+c-!<<3%!8#`Hf[S="e'8$q!!`W,#mCCD
-]!^SVgX+3d$O?h>"98]2!!<3$bfR^8&.-k6aNhuG#R(4Na1f^;]Ee]AcHO)Rd`0b``RE5Re'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]e'-7db(G4k69dN\dE9qba4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7acH"Pdc-ahWeBuFfd)l=fps[U3e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4lg!nKtbKnDQ[Bcpbd`p at lcI1%]g=OcubJqK:]].i&h:gDq
-^:DtLdb**sc-"#_gst$+c.q"#^V$u+eBQn+e_]'1bK.NRf?hslaO\hae^DXKZE)<q`RE2UgtC,m
-^Ui4ReBQ.TeBuLleBcRhb/D-/h:gE1e'?\!d`oqRh:gE1e'?.X_[m7_cHF5Sc,S8\b07uEgtC-0
-f?hXZ^Vmt"f[\9td`^G!d`9;>hqZcJki'\)^s'p;f at 8!md)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL"MRf$hjkccUljHU9qXeBuLfcH"Pdc-ahWeBuFfd)l=fps[U3e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4kf[J<rbKe;Nda-(cdEL7nd,Ej7c-"#ein`)1bK%Q9lfdBPaMZ9F`QH6<eBuLm
-e^2.H\_u;rai;0Je'?:`a3)H>g=Od$ccX#8\(9$Rda-(Ya2/)c!6iR'f$hpkc,RW8\F/\D`50%@
-g=,0CgVgq>f[\:#f$E"!cGmc7hqZc1ccFJX`m;lJ`50%%^UW=^fuqIQf[\:(gXOTp`nAqh`l#I:
-cH"Pdc.(.`aMkmMgXP!1dCd#qda,q^d)XhkbL"POi82o3dE'nfb0A)Finr>9d)jhdbL"MRf$hjk
-ccUljHU9qXeBuLfcH"Pdc-ahWeBuFfd)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4`
-c,S)R`SK7se^DXkd`^+dakb\"f$hjfb/;ED_9gHHinrD(]scePeD8j-aMkm?c,eG`c/dj=^:Ui0
-g==TraiVQ=iSN8)^Ui4ReBQ.TeBuLleBcRhb/D-/h:gE at in`)1bK%Q9lfdBPaMZ9F`QH6<eBuLg
-ccXSXa3r;Va2GaDe'?.X_r9J*jPenJf@%XT]unC4g=Od#cH">Xa4f.l`50%5cc4M`aktn&eBu at e
-d`12#dFH^dda5q]dDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL"MRf$hjkccUljHU9qXeBuFf
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYdE]ea
-eBQCda4/MZe'Q5:s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYdE]kad`p%Z`V&fhccjG^
-e^2O^`7WVejl5+Hd`oM<[cHE&f$hpqe'?OncJ7+&ccjAYd`]eR_!'n:g=O]f^:2A0_q3D_f[\9k
-ahl]\cHj_Rp%%Fnb/;cXbL+VUj5AV3`P1'Xd*9_Nda-"]c,SDdcHODIf at 8'jbJXJ_!!<3$!rr<'
-!!(U!bgF_Vf$hj\^q&L`fuh at N`PT7NjkeA/`n/_b`50%4cH"bpe'#hK`50%5ccFYbbM(Rne'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^"^`n&V_da-'gJ9sUI3n2R$dE]eaeBQCda4/MZe'Q5:
-s7k'iaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYai;0HdEKVJ^>@VqeBuLnf$Vplb14qb^V%&"
-ai*,nf[\Epa2GaDe'?OncI^Rlg"+L(f[8R1eBc at Xi8)u4ccFJX`nAqhf[\7L!!!K:";)+K!rr>C
-`kTmF`m`;Vf[\:%f[7m`_:I)Zf$hjeahl]\cHshUdE]e]d)jYZ`mDuMccjASbf/GneCiF!lfd<G
-_7IY(]\D)df at 8']^:31^g=+EjbK.N[i7Z#`\_c)jg=O^%d`^G!dalmig=OWscGJ2`aj&#DgXsio
-`kBaD`6HH at e'Q4ed`^"^`n&V_da-'gJ9sUI3n2R$dE]eaeBQCda4/MZe'Q5:s7k'iaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYdE]eigst'-cG.$"da-"]c,RlF^XLQOg"+Kob/<8tfttM6jPehF
-e]u at Z_:mMfda-"V`kUZrgrmdTf[\:!eBQ at b`mN)Pj5AV3`P1'Xd*9_Nda-"]c,SDdcHODI^V$tu
-ahlulf%&3la2G[Be'-Clbh(@he'Q4^bJ_u\bi7O4_7mDIm,bRXWRB,6g=Od!bfAGhd`'):jl5%7
-_n=m^e_/O"ccj;ijP.J`[*d1<dEf_G^9Zq`g!@pZe'Z.`dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^"^`n&V_da-'gJ9sUI3n2R"e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajJDSf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`ai)$.gXsup_nO=8_pQcOe^D^a`kg-NbLY.f`50+7ccXGP_pQcOeBuL[_nOXJbe_$&o'bee
-b/;KH_qN_hcHF/Td)jqjcI:.^ai;*Gd`^%`a32Q?`l#IDf[7XR]$JU>da-"^cH##)g;1M4jPeh:
-ahllfe'ZI]d*9Spk24D)_V<_jf at 8'd`P0mNbLP%ap%%F_]<p>FdGEX-bK.NBa2$?XcKOBHcHF/W
-e'-1``m;lJiSN29dE9DD\C8gFe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;8
-5<@<AbgF_Vf at 8'mcH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aje_^lK at 0c
-hV#TR[EHY/ccjGegt0N^^#7`!f at 8-sd`oP>\)#cgh:gE0d`p7fbKnDOi8)u%^q&.Lcc<u;iSN23
-bJ_oXb0nVWhV6Pt^q%_4_p6HDbK.NbkMX\1`QlZFda-"`d)jhdbKe;Lda-"ff$D at R]Z%b"i8)u>
-g!\3j`R`M^jl5%Jf$DFV^:_"^iSN2DgssNd^Y at Dge'Q4\ahlKPaO\haf at 8'od)j\\a3VuKd*9SV
-bf.ZB][tZVccs;Sd)=2P^YRVkda,q`d`Kq``m`;Ve^DXfc,S>`bgOh[K7J;85<@<AbgF_Vf at 8'm
-cH"G^b1"_Zs8VlCd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj%uGd*9S[dE:"fbN at j?_S<VB
-inMo-aOAMXc-!rUeBQLjb0%c?e^DX\_n=IFal)"+c-!rD_n>$ffuCqBda-"^cH"G^b0S;Nda-"^
-cH##)g;1M4jPeh:ahllfe)9'5f at 8'qd`]D<[GBQch:g?.d`^+dak"qbe^DX\_n=j\eB>qLaMkm_
-mH2O1^W+1*f at 8-nc,er'gXX`qda-"P^q%tBb0nVUb/_6Rgsaa!a4&GThqc]&aLosJ`7*,Qe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXfc,S>`bgOh[K7J;85<@<Ab1"_Xe'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOS[a4JhcdE]e^dE9qbaoDD9e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jkfcJ7+&e^D^]_S+^Ve(WF%g"+R(f$VmjajJDUinrJ<
-ccX\^b1G.hccjG^e^3:3f>>;4_7mDBjkdql]%PZ\f[\9jaMHQ\ce6mqg=O^+f[7[T]@G?QgtC-,
-e',\D[bfceinr>,_n+ at FaPbn(`5/t/bJN2neA8l,f at 8!jc,@`D^#@hue'Q.[b/)BH`5TU*i8)u1
-bf.iL_pQcMl/pm@^q%4m[F*:?bfR`Nd)jkfbfIc;da-"kgX=Qta4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_d*9S]e'-7db(G4k69dN\dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`bKIuEe'Q:fdELS+g!@m_ai;0[jPS/%_pcuUaMksJf$W!pbgb%aaMks?
-bJqrTa3MlFjl4t:aM6EZc,RZ4hqZ]%`OsO at _q*;Ze^DS!hq#id]Aqi$^qI,$beqrXb/D--f$hk"
-gXO?b^XUZRc-!r\gXP'5e'l[c^:Uc&d`]t\`RWD[`50%Ch:CE9e'l[caMkmJf[7^V]]7r'eBuFq
-gXONl`6--9gtC-&c,RuL_UQuUf at 8(-j4`#1aOo(de'Z.ad`0YY`7WVae'Q.^c,A)Xajnh_d*9S]
-e'-7db(G4k69dN\dEL"`a4JhcdE]e^dE9qbaoDD9e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)k;)f[A*eccjAM`kTa>_UQuUf at 8'^^UVY8`o,\(aMkmAccG,'f[\EnaMkmIf?h[\^<Og:eBu at _
-bJMWN`8'%mbK.HSg<mdP[bfceinr>,_n+ at FaPbn(`5/t/bJMHD^XLQMaMkgFf$2^laOJVYaMkg;
-bJM`Ta3i2Og"+F%f?V^d_p?QEeBu at ac,SDdd+Hmqf at 8-a^q8">a55S#hV6Q.ccFP\`mrMZccj;[
-f$2n"bKnGLe^MRed)=D\`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_d*9S]e'-7db(G4k69dN\
-dE9qba4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7a
-cH"Pdc-ahWeBuFfd)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4kf[ILD[+<^OinrJ5
-aMZ*<^t$lXbK.TLccY8)g:Ol$g=Od"c,e5Ta4]%kcHF5QbJ`,dd+6[ic-!rVe]ugtcGmc7h:g?$
-aMHETbK.Z:bK.NZhq6N/be1KlgXsp/g!\!^^!+U8e^DRcbf.cH^Y at DgdE]_Ra2$frg!7dZda,qa
-e'-7d`lQ-5hqZc8f$Djnb0S;Ne'Q4acH"\ldDs2=g"+L)g!\R)cc<u;g=O^*f?h[\^tI;bd*9SZ
-d)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4cd)jhdbL"MRf$hjkccUljHU9qXeBuLfcH"Pdc-ahWeBuFf
-d)l=fps[U3e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4acH4\fcdL.^d*9Y[ccXSXa4f.nb/_BN
-eBc[nc-=DMdE]kef$W!pbf at Z:g=Od.g![s\][>$Ff$hdcahlKP`o5e+dE]_`e]uOd`6HHBd*9M[
-e'-7d`mN)Pf at 8're'-IpcI1%[_n`hDiS)Q!_q!2Yda-"`d)jGN^u4&"ccjA`g!\!^^XCHLf at 8'p
-dE9_V_qWhkf$hjic,S8\b/qZ<dE]e^dE:;!e&&l0i8)u;f$DU`_q!2YaMkm:aM6ZheBlIYe'Q.b
-dE("lc,mu?gtC-)d)jhdbL"MRf$hjkccUljHU9qXeBuLfcH"Pdc-ahWeBuFfd)l=fps[U3e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4Y`kU'PbLY.dc-!r[g=+Hpa3VuKgtC-%bf/Ajd`fhMda-"[
-bJ`,dd+R!rc-!rRdE:%hb14q`e^DRcbf//^b0S;Nd*9Mag!\!^^!+U8e^DRcbf.cH^Y at DgdE]__
-eBQOlaj%uGdE]_af$DjnaN)64g=OX#d`^1haiqlDb/_6Ke]uq%cc*c5hqZc4d`p7fbL+VWf[\@!
-d`]\L^!tHPbK.NPe]u[laOAMXdE]_YcGe8Za4/MXf[\3pd)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4c
-d)jhdbL"MRf$hjkccUljHU9qXeBuFfd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYc-!rUeBQ_!d)a2?f$hkCs7jXQ^"h;heBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLi
-dEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidE9tdbgb%_eBuLi
-dE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLi
-dEL+fbgb%aeBuLidEL+fbgb%aeBuFgdE9tdb1+h]eBuFgdE9tdbgb%ada-(if@%[V^>.DkccjFg
-M1e&S2Tj(Wc-!rUeBQ_!d)a2?f$hkCs7jXQ^"h;heBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuLi
-dEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidE9tdbgb%_eBuLi
-dE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLi
-dEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLi
-dEL+fbgb%aeBuFgdE9tdb1+h]eBuFgdE9tdbgb%ada-(if@%[V^>.DkccjFgM1e&S2Tj(Wc-!rU
-eBQ_!d)a2?f$hkCs7jXQ^"h;heBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuLidEL+fbgb%aeBuLi
-dEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLi
-dE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLidE9tdbgb%_eBuLi
-dE9tdbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidE9tdbgb%_eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdbgb%ada-(if@%[V^>.DkccjFgM1e&S2Tj(Ue'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj/)Je'Q4U_RnFLc/@F/oC2"(
-MM$1tDh3@]JUVfoIWp?lGCb3eJUVfoIWp?lGCb3gJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH$t!]MMHe4HZkC+KnFo&C1h!O9Ln+"g<Rm[e'Q4U_RnFLc/@F/oC2"(MM$1tDh3@]JUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3gJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH$t!]MMHe4
-HZkC+KnFo&C1h!O9Ln+"g<Rm[e'Q4U_RnFLc/@F/oC2"(MM$1tDh3@]JUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3gJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlq
-IX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH%CEiJUVlqIX-KnH$t!]MMHe4HZkC+KnFo&C1h!O
-9Ln+"f[J3fe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccP>0grI at Hjl5%;a2$-La at Sic3&N<]83oU.3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_7q3D2n169dM%76j+$3(QJ'84>eR[BSfRgrI at Hjl5%;
-a2$-La at Sic3&N<]83oU.3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_7q3D2n169dM%76j+$3(QJ'84>eR[BSfRgrI at Hjl5%;a2$-La at Sic3&N<]
-83oU.3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#5W_=u4$u7p6U3_#
-5W_7q3D2n169dM%76j+$3(QJ'84>eR[BA!*a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7T_7J=Nce$[kd*9Scg![aP\C8gHdE]e]d)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:gd`p at lcHaVQdE]kX
-ai)rde'#hMo^V:d_7J=Nce$[kd*9Scg![aP\C8gHdE]e]d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:gd`p at lcHaVQdE]kXai)rde'#hMo^V:d
-_7J=Nce$[kd*9Scg![aP\C8gHdE]e]d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:gd`p at lcHaVQdE]kXai)rde'#hMo^V4qd)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYc-!r`hq5l`]$JU>g"+L-
-h:CZGg;q7Ida-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUeBuFgdE9k^a4/MZe'Q4ogssNd^W+1(c-!r`hq5l`]$JU>g"+L-h:CZGg;q7Ida-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUeBuFg
-dE9k^a4/MZe'Q4ogssNd^W+1(c-!r`hq5l`]$JU>g"+L-h:CZGg;q7Ida-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUeBuFgdE9k^a4/MZe'Q4o
-gssNd^W+1(e'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ak,%ec-!rMbf/Jpe`,K=YcXeGaMHKXc.17ce^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbL+VUf[\:!eBQLjb0\DQg"+L#e'-:fak,%ec-!rM
-bf/Jpe`,K=YcXeGaMHKXc.17ce^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbL+VUf[\:!eBQLjb0\DQg"+L#e'-:fak,%ec-!rMbf/Jpe`,K=YcXeG
-aMHKXc.17ce^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbL+VUf[\:!eBQLjb0\DQg"+L#e'-:fa4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOMW`SfS'_n`h=g=*jN[d*&6h:g?.d`^(baO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFAR_q!2YdE]eV
-ahl6B_90g6e'Q4fe'-.^`SfS'_n`h=g=*jN[d*&6h:g?.d`^(baO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFAR_q!2YdE]eVahl6B_90g6e'Q4f
-e'-.^`SfS'_n`h=g=*jN[d*&6h:g?.d`^(baO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFAR_q!2YdE]eVahl6B_90g6e'Q4fe&p.da4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7if$DR^_V!Dada-"c
-e'-%X_UQuUc-!rRdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFdcH"Pdc-X_Tda-"hf[8-naOJV[eBuFlf$DR^_V!Dada-"ce'-%X_UQuUc-!rR
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFd
-cH"Pdc-X_Tda-"hf[8-naOJV[eBuFlf$DR^_V!Dada-"ce'-%X_UQuUc-!rRdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFdcH"Pdc-X_Tda-"h
-f[8-naOJV[eBu at ddDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Z.`dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&GTe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV_`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.adDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE2Se'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.a
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2Ue'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2Ue'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccOY_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS]aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Q.ad)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Q.ad)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`d)XV_`RE2Se'Z.`
-dDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7dd)XY^aje\XeBc7d
-d)XY^aje\XeBc7dd)XY^aje\Xe'Z.`dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-d)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7b
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-d)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXi
-d)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`
-dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4c
-d)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjk
-ccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBl7b
-d)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)3
-4ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q@
-e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.a
-d)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-d)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFf
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBl7bd)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3g
-IsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?
-r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aje\Xe'Q.adDaS^`RE5Re'Q.a
-d)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4d
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)je`ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4c
-d)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-dEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)XV_`RE2Se'Q.a
-d)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cc4PaajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4ed`^+daj\VYJq&#14Z:m?bgF_Ve'H%b
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgb%as8;Q at e'-7daO8DUe'Q4c
-d)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe^DXi
-d)jb`ab#"e5Wq$Ve'-4ba4&ASf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`ajnh_e'Q4cd)glhGX+DMf$hjjcH"D[`n&S[d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jhdbL=h[e'Q3gIs=4A2V-@$dE]e]
-cc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBuM?r:SXibgOhYda-"`
-d)jb`aje_\e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4e
-d`^+daj\VYJq&#14Z:m?bgF_Ve'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgb%as8;Q at e'-7daO8DUe'Q4cd)jebb1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe^DXid)jb`ab#"e5Wq$Ve'-4ba4&ASf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"ebl at V6f$hjkccFP\aOAMXe'Q4ddE9qbaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ajnh_e'Q4cd)glhGX+DMf$hjj
-cH"D[`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OidEMXgp"%U9da-"_
-ccFS^aj\VYeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jhdbL=h[e'Q3gIs=4A2V-@$dE]e]cc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`bfRg's7k0obg";Jh:g?"`kU0VcI:.^eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]dE]ebe]u=X^sC6DLkU:<2D<\3c.:@fe'H%bd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbi%=0p at IX6O,.L^?^-\1KRnGnFDZtnJq8ApJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGC"IPKRnH(K7&uKN-BA\84>_f
-bJ_ZJ_pcrOf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*0SM^dC at I3ArO$
- at 9PKB.Ounj;,0VA2D7E_3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!5WM1s3C?%l6U3Y!
-5WMV6779F&2DZmB1Ftp[3`&O?b/_<Uh:C'$`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2Opf[JC!bL+VU`PT7>e^!45fuqIQf[\9rd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4]b/;]Takb\"f$hjtf[7[T]@G?Q`PT79cc4PaajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`dE]kR_n>'hg<e*a^qI24g=+a+cdC%Yda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUd*9SWc,SAbc,[c9e'Q4f
-e'-Otd+?dle'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbiRj?_n`h.
-bJ`&`cI^Rjb/_<2]!L5He()mie^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbL+VUdE]eaeBQ1X_9C$<dE]eYbf.iL_pcrOf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*0\S_qN_hg"+KmaMHNZcJma6dE]e[cH"AZaO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFkndFZmmg=O^(e]uI``7*)Tg"+Kud)jb_`n&S[d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oqg!n*^^=LcWi8)u*`P0O:_;<qrcHF/U
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdEL+fbgb%aeBuLidEL+fbgb%aeBuFgdEL+fb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h_eBuLidEL+fbgb%_eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdaOJV[eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdaOJV[eBuFgdE9tdb1+h]eBuFbbf.cH_9^?EgXsou
-b/;QL`S/qjccjAWcc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBc=f
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeY[g=Fa"bfe2M`nf>#b/V?Mda-Ood+-Rhda$%a
-ccX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-(a
-ccX\^b0nVYhV6W&`PBjFaNVcEc-"#]g==^#bgOh[ccjGTbJrMtg!.[Yd*9YP`4t$Xda-.Xda-(a
-ccX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVWda-"_cc4DZaO8DUda-(a
-ccX\]bL4\Zg""NpaMllbd`fhOf[\9td`^M%d`TVEe^DXV]sckTf$;IWda-"`d)jSV`732We^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%aiSN2*_RnCJbf.H2eBuFi
-e'-Fnc-OVQe^D^md`p=jc.17ee^D^md`p=jc.17ee^D^md`p=jc.17ee^D^md`p=jc.17ebfRf_
-hqHH%aNMZBe'Q4_bf/,\bLFq^e^DRid`L%fajnh]e^DRie&U"eajnh]e^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%aiSN2)_7J7Jc-4;He^DXebf/>hdEThOe^DXmeBQ%P^"_2ef$hjmdE9qbajA;Pe^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ag"+L#e',tT^tdVkd*9SY
-ccF;N_9pQKe^DRid`L%fajnh]e^DRid`L%fajnh]bfRZ[hq$0!`666:e'Q.]bequZaje_Ze^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DRie&U"eajnh]e^DRi
-d`L%fajnh]e^DX^`P0mNbLtIma2GaTj5.r!_U6ZLe'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgat^eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_bL=e_!rr<,
-"9el-!!NB'!rr<'!!!E5"U"f*"98E)!<<6'!!E<&"9AK*!<<6'!!E<&"9AK*!<<6'!!E<&"9AK*
-!<<6'!!E<&"9AK*!<<6'!!E<&"9AK*!<<6'!!<3$'G1`\#6G/7!!i`.!rr<'!!!3*!#H=[!rr<'
-!!!]F$k!=C$3pV7!!!9.!!E<&"9AK*!<<6'!!E<&"9AK*!<<6'!!E<&"9AK*!<<6'!!E<&"9AK*
-!<<6'!!E<&"9AK*!<<6'!!E<&"9AK*!!!-%!!<3$'bLoX!!!ZD$cKlme^DXle&p=nbhLdtg"+LL
-s7lNfo)J[^s8Vlos7lWoq#C9bs8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qi
-r:U*fp%e=Ms8Vlos7lWoq#CBhn*K07qXaaeq#C9ds8;Wkr:g6hp](0cs8;Wkr:g6hp](0cs8;Wk
-r:g6hp](0cs8;Wkr:g6hp](9iqtTdYp at 81_qZ$Tjs8Vlos7lTjo`+j\s8;Kgr:BsdoDedZs8DKf
-rUKpdnc/O[s8;Qir:U*fp&Fs_s8;Qir:U*fp$qJ5s8Vlkq!nCape"%Ae^DXbahlulf$M[]g"+L#
-e'.X]n+ueJs8DZks7lWoq#C9bs8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qi
-r:U*fp%.\;s8Vlip@%hNn,NF_qtT^]s7lWoq#C9`s8;Kgr:BsdoDea[s8;Kgr:BsdoDejaqtTXU
-p?hn[pAb0ds8Vfms7ZHho)JX\s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qir:U*fp&Fs_s8;Qi
-r:U*foDea[s8DKfrUKpdnc/OYs8;Kgr:BsdoDejcmd&s6s7l0RkkF`<8Oc"qdELG#e'lU`f$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"cbLFk[eBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccahbbmk'erV?6grr)lrrVulqqY'OSo'cVVq>^Bgs8D`mrV6Ekq#C<fs8DZk
-rV$9iq#C<fs8D`mrV6Ekq#C<fs8D`mrV6Ekq#C<fs8D`mrV6Ekq#C<fs8D`mrV6Elq>^KkqY0RZ
-qXsmgqZ$Tls8Vrqs8)WfoDSOYs8VrqrV6-Zn+ZJCs8Milq=O^cq#C<fs8D`mrV6Ekq#C<fs8D`m
-rV6Ekq#C<fs8D`mrV6Ekq#C<fs8D`mrV$9ipAb*`s8DZkrV$9iq#C<fs8;cor;6NnrT`P*7RB<E
-"9@''c-4;Hd*9MXd)X2F^!=g>rVH-Cgssm#ajSMVbfR`GahlTVbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^+dajSMVc-!rG`kU3XcdC%Yg=O^'eBQOlbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^M%f#bqJf$hpuf@%aZ^<":-c-!rM
-bf/,\ajnh]e^DRid`L%ga48YZe^MRhe&U"ebLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbMCn$ccj at Z
-IWn%?2U9Lada-"\bf.oP`RiVada-#)mcW?WdFQdjda-"]c,S;^bLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^(baO\hae^DXof$DCT]uS()h:g>q^q&"Dajnh]e^DRi
-d`L%fajnh]e^DRid`LA#d`KMBf$hdqf?VIV]ZA()c-!lKbequZbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`L%fajnk\e^MRhe&U"eajnh]e^DRid`KYP^uOA+]t1Q9
-ki%bgN%HM*`l#OBeBQIfaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-ccahaajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc=dcH?:i!<<&saMc!;`5C<[e_o69dETh`
-d*:(ec.(.beBuLidEL+fbgb%_eBuFgdEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLi
-dEL+fbgb%aeBuLke'>\>[cHE&hV6W$_nO^NcI'qZccjGaf[Is^_9gHJda-(if@&-pbM(Rrda-(c
-dEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuLidEL+fbgb%aeBuFgdE'hbaOJV[eBuFg
-dEL+fbgb"ceBlOicHVK2MDd4C"p4kYf$Daha5Ge'`5/t2cH"Yjd/X. at gXsoub/;fZbh(@hf$hjl
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4fe',M:ZfL*!gtC,q
-_n=IFajA;Pc-!rQd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4Z
-a25s<_:dDedE]k[bf/;fd+-Rff[\9rd)XV^a4&DUe'Q.adDaS^`RE5Re'Z.`d)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4if$Djnb1"_ZEc5Vj;+fHic-OVQinrD?eBQn+e_Aa(s8;QCf$Djnb0S;NcHF/T
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4bccF,D][G-IiSN2.
-`kUNjfZ;%Gf$hjld)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.Xa1f[8^"Lu]dE]_Wber/dcIL at bf[\3p
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV_`RE5Re'Z.`
-d)XV^a4&DUe'Q.ZahloheB5hIeBuE]Ec"oY:taFIe'Q4ccH+SbajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBc=fccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeY[j58Vq
-!<E/tqpNd7g""O(e^DdeaO8AWeBuLidEL+fbgb%aeBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]g=Od!bfA#P`luQCbfRfSe'?\!dbEF'b/_BG
-c,e;XajJDUa2GaHf@&F+e'?.VeBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBu at edE'hbb1+h]eBuLidEL+ecd^=ff@//kEc4T at 6j!Dh`l#I3a2$NbdE]qPccjAY
-d`_L]nBoP%ai;*Je]uq%dFd!pda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUh:g?,d)jYZ`mDuMcHF/Zf$E+'dG<O*da,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]
-cc4DZ`mW2Qda,q]cc4DZ`mW2SdE]kad`p(\`m)ZFiSN2Bg=+'Z]Z\C4da,q]cc4DZ`mW2Qda5q\
-d)=AZ`7!#Nda-"_ccFP\aO8DUda-"_ccFP\aO8DUh:g>p^UVtJc]jQL0eOisaMGp8^!"L5a2G[9
-b/;KH_u0?$cHF/Td)jebb1P7ida-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUc-!rYf[7sd_o]p5g"+L*g=+!V]%>HVda-"_ccFP\aO8DUda-"_ccFP\aO8DUdE]e_
-d`]qZ`6HHBiSN2Bg=+'Z]Z\C4da-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DSda,q]d)=AZ`7!#Nda,q]cc4DZ`mW2Qg=O]l`4b3hfuV.HJ:2Z)3Af"'`R)lLe'?%c
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgat^eBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_bJ:d$#6P&$o't>\daQOdbfIcC_S>$ag!e<ke'Q:ed*'nbbL=h[e'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`ahtp+n*K5V
-_S+7<`ouOBai;0 at ai)NLa5>\(da-(siS;Vt_q`qpbK.TWg==9`^sgZPe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.ad)jb`aj\V[e'Q:ecd("ccHj\VHZsR2
-:e_#l!8H/Rg"+KnahZNXbM(RpgtC-UrV"pqcd0hSf at 8'mcH")J^spcSeBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb/;$*na>SW^UV_<aQ2=6bfR`C`P0[B`RN;VeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOo%ghV6W(a266Lak,%e`l#I9
-c,Sc#f[S<ieBu at edE'hbaOJYXeC)@dd`0eb`miDYeBuFgdE9tdb1+h]eBuFgdE9tdb1kRr`l#IE
-g!Y.hDbs.thV6Q=hUg&r`7`_fg=O^&e'.jlps71'e^DXkd`^7lc.(.`eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1Y at lf@8'qd`]nX_pHZJaMkm^m,c=-^=:QQeBuFg
-dE9tdb1+h]eBuFgdE9tdb1P7ihV6Q&a2$*Ja4Jhc`l#I9c,Sc#f[S<keBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdaOJVYeC)@dd`0eb`miDWeBu at edE'hbaNr)Le^DXd
-bJ`2hdYNU-7RKApg!n^+cdU1\f$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"cbLFk[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccatjd2Ec6qtKa0bfS>[bi7L6da-(_
-c,eD^bgb%aeBuFgdE9tdb1+h]eBu at edE'hbb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9h\aO/;TgtC3/eBcOfaje_^e'Q:mf[J<rbJqH6ai;0Le^2dlbL+VWeBuLn
-f$W!pb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdaOJVYeBuFg
-dE9tdbgb%aeBlOkd*L at odu&m47RB<A!!([%cI'qXaMkgCe&otZ`6ccKqY0L5f?i!nak>7kf$hjn
-d`^(baO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFJX`mrM\f at 8($
-g=+6d_:[;`ccjA_f[8-n`mW5Pda5q\d)=AZ`7!#Nda5q\d)=AZ`7!#Nda5q\d)=AZ`7!#Nda5q\
-cc4#D^"1ZXai;0Of[J0j`QucInEoAN\['Z0`mW2Qda,q]cc4D[`7!#Nda5q\d)=AYaO8DUda-"_
-ccFP\aO8DUda-"_ccF)B]BA82e'Q3cHZVG51tC$t_n`h:f?hgd`6HHBbK.O"s7j^U^XUZRe'Q4d
-dE9n`aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aMbp+eBuFr
-gssfta4Jhc^:Uc.g=+KraO8DUda-"_ccFP\aO8DUda-"_ccF/F^"1ZVai;*Mf[8$h`QucInEoAN
-\['Z0aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_cc4DZ`mW5Pda5q\
-d)=AY`mW2Qda,q]cc48R`7`_fcHF/A]s`iTK0)%KgXsui]X?56aO\e]d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OiccahaajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7`
-bfKqe!<)`ef@/*mbK/2[c-4;Jf[\?td*'nbaj\VYe'Q4cd)jb`aj\VWe'Q.ad)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ddED[m!"&r4!rr<<'bJL,_:mMhdE]i9
-!!(p3f at SNuaMkq)$O5),bK at lBf[\?td)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)XV^a4&DWe'Q4cd*'nbbL=e_e'H=bb/o3_H9XJN#6Y%[f$DU`_q`qlc-!lT
-e]uapbl.D0gXsp!bJ_cP`mDuMf$hjmdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFfd)cFm!!<3$!rr<4%0k)"_pm)Vd*9S[dE'hc`miGVeC)@dd`0eb`miGVeC)@d
-d`0eb`miGVeC)@dd`0eb`miGVeBu at bcH"_neBQ.ThV6W(a2$6RbK.Z:$3pR\dE'hbaOJVYeBu at e
-d`0eb`miGVeC)@ddE9tdb1+h]eBuFgdE9tdb1+h]eBuFpg=+<h_op-;OH"u^5WR39`n]7qd*9S]
-e'-:fajA;Ps8Vl>bJ`)bcd^@bda-"adE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuF_ahm,tg<IdXc-!rUeBQRnbQ at hFe^DXjdE9tdb1+h]eBuFgdE9tdb1+h]eBuFd
-cH"_nd`oqPhV6Q&a2$6RbK.Z:$3pR\dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBu at edE'hc`miGVeC)@ddE'hbaOJVYeBu at dd)jnhc-t%]e^DWmIsOXS5f^gXiSN28
-cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBc=fccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYe'H5?!!*&uqpa!;eBuLidEL"`ajnhae'Q4cd)jb`aj\VWe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DW!rr>N
-dEL+fbgXq^ccjE3!!(U!cI^Rl#mLFXcH4JZaTDMCf[\?e_7\dbg<\!`e'Q4cd)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^aj\VYe'Q:ed*'nacI:+bdETmh
-JUU!P4TbZaeBuFeccFS^a4&DUe'Q4cd)l=fps[U3eBuFdcH"Pdc-ahWe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY"p4kG`4amVd)j;Bg=O[R!!(Kpak5.he^DRb
-bJMfXajnh]d*9MUc,A#T`RiV_e'Q.Zah[0'h93mSda,qce]c=^_T^-;e'Q4lg!n'\^YRVog"+L"
-d`]\L]`S67e'Q.ad)XV^a4&DUe'Z.`dDaS^`RE5Re'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYeBuFe
-ccFV`b(G4i5Wq$Ve'-:faj\VYe'Q4bccFV`b5_M:e'Q4bccFV`b1"_Ze'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYbK.NNe'-4ba3;ZBf[\:,hq/#2!8H/Rf[\?f
-_S+LJc.^dt`l#OEf@&^;gW7 at LccjGWcH4nre]u at Xf[\?td*(.pdK9ILe^DXid)jYZ`o>n.da-"V
-`kU'PbL+VUe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.adDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4e
-d`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgat^eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\V[!rr?$rqk3lc.(.beBuLf
-cH4VbbL=h[e'Q4cd)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^`t&R`f[\?d^q8FVe^;[a#mLFhhV$#j_#jZ;e'Q8I$3ef$aP#.ld*9YV
-b/MoZbL=h[e'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)jb`aj\V[e'Q:ecd("ccI'n\Kn4\@5Wo2L!7]E=da-"`d)XV^a4&DWe'Q5:s7k'iaje_\dE]ea
-eBQCda4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aTDMCh:g?-
-dE:_9hmp2!g=O]i_7J=Ncd'_PgXsii^q&dphq?T,cHF)We]uC\^tI;bf$hdO[BAo^iP)q2dE]_d
-g!\O'cG$p!inrJ2`PBO4^W+1(f[\9td`W"(!RoE9e'Q.ad)XV^a4&GTe'Z.`dDaS^`RE2Ue'Q4c
-d)jb`aj\VYe'Q4cd)jb`aje_\da-"adE7)lGsFMNf$hjld)jb`aj\VYda-"adE;Lhps[U3da-"a
-dE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`akPIqg"+Ko
-b/<5rf[J3h!rr>Tf?a[&!7]E?f[\@4jl"J/a3r;Vd*9YQ`PC?bf$DR\e^D^kd*'PN_:6lVa2Ga>
-c,]te!6N6qc-!rMbf/5bcH!l:eBuG$j4r,1aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`
-dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*Xe'?@da4&>Tf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"cbLFk[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccOY_b6%_Es8VrFdEL+fbgb%adE]e_d`^+daj\VWe'Q.ad)XV_`RE5Re'Z.`dDaS]a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)Q4g!62pjjl5+=a26ing&h<Tb/_BR
-f[Bp&!"&r4bK.TIbfA#P`noJ$i8*&*_n=IFaj\VWe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q4cd)jb`bL=h]e'H=gcd'q_b_:Us6pNm;!!(Nrb0nVWe'Q.a
-d)XV^aj\VYs8VlCd)jebb0eMTf at 8'mcH"D\aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)cRu!5cL\`PT7)^q&Ufgu$o;ai;*FdE2Ok!!E<&)Aa$t\$3li^(Lq^`50)$
-&dndA!8u\af$hpea1quc!>#\E!rr>HbJrAle^i3p&Io*W$O-b9!92nga2GXn!!(Kpa4&DUe'Q.a
-d)XV_`RE5Re'Z.`dDaS]aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jebb0nVWeBuEkJ9aCC2V-@$e'Q4c
-d)jb`ajSMVeBuG=s7k'iajSMVeBuFfd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jMR_T'L+g"+KpbJ`>pecPmPg"+IO!!(6b`7<8\YcOf4#R(VB"Tn`)"T\VQ
-d*:"ab6%_E!rr<+!rs&J%bT:Yda$#@"9?N^^*Fj?a2G[4`P)ik"k:rBaMkm=bJ_lVaj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.ad)XV^ajnh_e'Q4cd)glhH9aVQf$hpl
-cH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfT
-DPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OiccahaajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)uLk!<<)qeBuLidEL+fbgF_Ve^DXid)XV^a4&DUe'Q.a
-dDaS^`RE5Re'Z.`d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q,K
-&..U`iQ0!R`50+Bg=69*!9N4rd*9W<"p"f+!6r[*iSN8 at f$V1B[GKZhe'Q4cd)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4cd*'nbbL=e_e'H=e
-c-1lmIRHFa!rr>NdE9n`aOAMVe'Q.ad)jb`aoDD9e'Q4ddE9k^a4JhcdE]e]d)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q2=!!)0Agt^T2c-!rF`P0sRc-FMNf$hk(
-iS:oLYLChA()%26g"$6*!!i].eBuLne^>*B$cB`l#R(4^f$i'nb0\AS#R(4Na2/;o#0P!'_S<\?
-h:;Z.!8,iI#mLCYd)XV^a4&DUe'Q.adDaS^`RE5Re'Z.`d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4d
-dE9n`aOJV[K7J544Z:m?bgXq\e'Q4cd)j_^aOJV[s8VlCd)j_^aOJV[e'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4fe'-Fnc-ahWe'Q2=!!(m1eC)[ada,uH
-%1:D'a5c(4%grZfai;HA_V<\l!rr>Tf$a^$!8lP`c,mu=\[D\D!8#]H!rr>Pe'8$q!8#`Ff[\7O
-!s$iub1bIoda-"`d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q.ad)XV_`RE5Re'Z.`d)XV^a4&DUe'Q.a
-d)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cH+SbajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`V
-DQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).a
-cc+J\bLOt`eBc=fccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q8?!!*'!qUEp:eBuFg
-dE9k^a48V]e'Q.ad)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE2S!rr>C`kg!Fa6DaF`PT:l!W^s+d`TVI!rr>:]so($(!k+Ec-"#X
-e^2Xda4A_`e'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.a
-d)XV^aj\VYe'Q:ed*'nacI:+bdETmhJUU!P4TbZaeBuFeccFS^a4&DUe'Q4cd)l=fps[U3eBuFd
-cH"Pdc-ahWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VY"Te\N
-c,R]<]&)2kf at 8'c`4ajTcdU7a"98E(!!!</"9SW(eBlMD!!([$e&TAAcH=62!!(?gaqG9oc,n&D
-^:Vh=c/%((ccjE:#6Fu-!"TJC!rr<'!!)<Ihu`rZe'Q.ad)XV^a4&DUe'Z.`dDaS^`RE5Re'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYeBuFeccFV`b(G4i5Wq$Ve'-:faj\VYe'Q4bccFV`b5_M:e'Q4b
-ccFV`b1"_Ze'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4b
-ccF5J^XUZR!rr>KcH"MbbgOhY!rr>Kc-"M]bQ at hFhqQf7da-7_a9)DBc,ms7#mS2X\_c&liSE2i
-!!(Hmb6%_EgXssY!W^Qj`R2uO!rr>Zh:BKZ\^o6Re'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VWe'Q.a
-dDaS^`RE5Re'Q.ad)XV^a4&DUe'Q4ed`^+daj\VYJq&)34ZM$AcI'qXe'?%cd`Kq^aj\\`cd:0f
-KT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)a
-CR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgat^eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_aj\V[!rr?$s8(6mbgb%_eBuFdcH"J`bL=hYe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]`s2_If$hq&h:Tih_;*_n$3pXW
-b/N>rf`M3Sk2Y=Le'8$q!85rNg=Od&dEL%baOAMVe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q.ad)jb`aj\V[e'Q:ecd("ccI'n\Kn4\@5Wo2L!7]E=da-"`
-d)XV^a4&DWe'Q5:s7k'iaje_\dE]eaeBQCda4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aT_hIdE]e_d`^.fb0eMTinrD-_Rg!S!6<!mjl,.TgY)`0!7oTG!rr>M
-cd(.kdbEC)&.Arlb/jbd!8?#SiSE;KhVGrY]%PW^!rr>A`4t0`f$DRZf[\9lb/4Sm!RoE9e'Q.a
-d)XV^a4&GTe'Z.`dDaS^`RE2Ue'Q4cd)jb`aj\VYe'Q4cd)jb`aje_\da-"adE7)lGsFMNf$hjl
-d)jb`aj\VYda-"adE;Lhps[U3da-"adE9qbaj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`ak5.hccjAdh:Brt`WQ;B#R(24!rrK+!!`T+cH=2Qb/Xqt#3=^u`PK:D
-f[U*)!8H,T!rr>]hqZ)_]A;/k"p+e^gXlT.!5?(R&e>9!e'-7da9MhJdE]e^dE9k^a4&DWe'Q4c
-d)jb`aj\VYe'Q4cd)jb`a4&DUe'Z.`dDaS^`RE2Se'Q.ad)XV^a4&DWe^DXid)jb`ab#"g5Wq*X
-e'?@da4&>Tf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"cbLFk[eBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_b6%_Es8VlDdE9tdb1+h]dE]_]d`Ktba4&DUe'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-d)Q:k!7&d-g"+R#dEK\N^]ac>a2GaAd)ub$!m/HudE]klh:Mf0!8#`Ha2GaEeBQIha4&GTe'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]a4&DUe'Q4cd)jb`bL=h]e'H=g
-cd'q_b_:Us6pNm;!!(Nrb0nVWe'Q.ad)XV^aj\VYs8VlCd)jebb0eMTf at 8'mcH"D\aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)c_("3AHqdE]ekhUf]^\d/H>g=O[R
-!!(^&eCDspai27%!!)!6h?*`XgXk*)bg"/E_ZKl=g""XU!!(3_aP,4saMc%/$k(V5c3"%Hg=Od!
-bfADfcN=.If[\7L!!(Kpa4&DUe'Q.ad)XV_`RE5Re'Z.`dDaS]aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jebb0nVWeBuEkJ9aCC2V-@$e'Q4cd)jb`ajSMVeBuG=s7k'iajSMVeBuFfd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jnhc-jqZai;("!s$Zk`T6"3]=>-!
-f$Ddib7G'gdETf9!!(0]_q*8^da$#>!<CTpbQS"If@/+0j5 at AOY6=q,dETf9!!)6Ei6'*U!rr<'
-!!(m1eCE!jcHF/Zf$Dglaj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&GTe'Z.`dDaS]a4&DUe'Q.a
-d)XV^ajnh_e'Q4cd)glhH9aVQf$hplcH"DZaO\e]d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlS
-Dl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^
-cbn>[`R`>Xe^2OiccahaajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7cd)uLk!<<)qeBuFg
-dEL+fb0eMTe^DXid)jb`aj\VWe'Q.ad)XV^a4&DUe'Q.adDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.^c,Khc!!<3$$O?b8!!(a)d+?dnda,u;!<CBe_pQcOgtC-#
-b/FG_!8#`Hf at 8'od)XV_`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-d)XV^aj\VYe'Q:ed*'nabgXn^e'H=ec-1lmIRHFa!rr>NdEL%baOAMXe'Q4cd)jb`aoDD9e'Q4d
-dE9k^a4JhcdE]e]d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4Z
-a1r,k!so/3!rr<'!!(Kpaj\VYdE]i=!rrE'!!<3$$O6mddEhsq!8#]Jf[SC&eC+j5#gUT7f$_qR
-#6kD8!WrE&f$_mlcH4JZaTDMC#6Y#/!!(p3e\o;8$O?d^d)XV^a4&DUe'Q.ad)XV_`RE2Se'Q.a
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4ddE9n`aOJV[K7J544Z:m?bgXq\e'Q4cd)j_^aOJV[s8VlC
-d)j_^aOJV[e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4b
-ccFAR_pm)V#R(4VccF>P_VEhmd*9S^eB\3s!7]B?$jd%=!!!*$!!<3$eBuLpf at 0m&!!WK)!rr<*
-!W_*3f$;FY"9AMGaMH6J`X<%Qh:g?*cH"2P_q`qnccjAWd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)XV_`RE2Se'Q.ad)XV^a4&DUe'Q.ad)jhdbL=h[e'Q3gIsO at C37cR(dE]e]cc4PaajSGUe'cOf
-d+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\
-CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBc=fccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYb/_@%!!*&uqod'ueBlIme^2CV^t[Mje'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h[e'Q.a
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Q.ad)XV^aj\VWe'Q4c
-d)XV^aj\VWe'Q4cd)XV^aj\VWe'Q4cd)XV^aj\VWe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE2Se'Q4cd*'nbbL=e]e'H7eccjkabgXn^f[S<$IsaF at 2Zj$[f$_mm
-ccXY\ajJDUc-!rZg!]oup"@pBcHF/Pbf.uTa4Sqfda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-(accX\^b0nVYda-(a
-ccX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_cc4DZaO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUdE]e]d)jVX`J9+p6U3ZW
-bJ_u\bgt7ebfR`[h:Brt`rH)6cHF/Zf$DmpbLP%ada-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUb/_<VhUg#p`<-)?g"+R.
-gssNd_:dDchV6T`!!)$9g==Wpd*9Ycf?hjfa4&DWdE]e^dE2Ok!7T<:ccjAVccFtteC2ddda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_cc4DZaO8DUda-"_ccFP\aO8DUf at 8'kbf/8dcdL.\H$4*n
-5WRNKcdgIee'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgat^eBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\S[#mCD+p%$SXbgXn^f$_mhai;o[cdL+^da$%a
-cHFY]bL4\Zda$%acHFY^b0nVUda5q\d)=AZ`7!#Nda5q\d)=AZ`7!#Nda5q\d)=AZ`7!#Nda5q\
-d)=AZ`6uuOda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda,q]cc4DZ`mW2Qda5q\
-d)=AZ`7!#Nda5q\d)=AZ`7!#Nda5q\d)=AZ`7!#Nda5q\d)=AY`mW2Uda$%acHFY]bL4\Zda$%a
-cHFY]bK at iBLP(+M7mmFZ!7&a-cH=2UcHFY^b1t\"ai;*qs7jaW^sgZPf[\9jaMH-D_q!2Ye^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%af[\9qccClpI7$7[d*9S[dE9eZ`RWD[dE]eXbJaAUo at _^@ai;*Bc,SGfcdgIee^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbM:e!cHF/LaMB#@(WOA*]t1Q!d)k"nd(m?'/Li!b_n=(0^<4L3g"+KtccF_fble%I%133]
-ahl`^cf<s:b/_<6^:2_Dc.17ce^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLFq^bK.NOeBQOlbCG"a6pWl^ccFDT`7*&Pf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrR
-DP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUj
-cbn;Z_q*/Qf$;Ihd*1"cbLFk[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOV\b6J+Lm-*Qa
-e^DmkbL=e]eBlIhccjncc.(+beBlIid*:(ec.(+beBlIidEL+fb1+h[eBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at e
-dE9tdbgb"aeBlIid*:(ec.(+beBlIid*9kYa+o:t8k)/O!<CWrc-X\VeBlIleBcRhb/V?3s8VlA
-cH"2P_q*;\g"+L)g!\9na3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH"AZaOo%gda-!hK7$$O3RlI!g"+Krc,S2XaO\habK.O"
-s7k-mbLk at j`l#I=dE9k^a3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH"AZaP,7me^DX]`4a^LbNe9Kd*9SXcH"r%fXS>lg=O^.
-gXOp-ceI+"da-"]c,S#N_qj%q`PT70a2#d8^>.Die^DXdbJ_fRa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH"J`bK at l@da-"bd`[>rHUL.\d*9SYccFS]`n&S[d`on_
-da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZ
-D5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OiccahaajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7edEW1-#64]"h:^B-cHFSYajSJXccaDZd*:(ec.(+beBlIid*:(ec.(+beBuLi
-dE9tdaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE'hbaOJVYeBu at edE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdaOJVYeBu at edE'hbaOJVYeBu at e
-dE'hbaOJVYeBu at edE'hbaOJVYeBuFgdEL+ec.(+beBlIid*:(ec.(+beBlIqf[YP$H9=/E"T\VY
-f[\Hsbg=SUe^D^pe^31-eGAq/iSN2)_7Ih2_:?uWbK.NMd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXcb/;fZbgF_VKRnG7
-4Z:a7aP,7me^DXfc,SDdcI1%[s8Vl=b/<&he'#hKeBuFhd`^1hbLP%ae^DXkd`^1hbLP%ae^DXk
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXfc,RrJ_:?uWg"+L"
-d`]hT_:6lTaMkm at cH"Yjd*9_Ne'Q4`c,S,T`mDuMbfR`B`4bR'j35W^gXsp-f?i$pb07uEg=O^%
-d`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXkd`^1hbLP%ae^DXpf?hjf`R<)RdE]dc
-JU0UG2pKL_g=O^#cc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&W
-D5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBc=f
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYY^UpuX!!*&uqo?Uib/V?Eb/`)]ce?t!da$%a
-cHFY]bL4\Zda$%acHFY]bL4_Zda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_
-ccFP\aO8DUda-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVYda-(accX\^b0nVWda-"_
-ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-"_ccFP\aO8DUda-(acHFY]bL4\Zda$%a
-cHFY]bL4\Zai2,LIsaXL4TbZada$%bccjh_bKS)Hf$hpgahn#Qo at ML:f$hk"gXOg'bfe)DdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QeBuFlf$Djnb(tb#5s at 6Pb/;`Vb1"_Zf at 8'gaMHW`dIQbif$hjkccFYbbMqF3dE]e[
-cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QgtC-2g!\?rajA;Pe'Q4Za2$Tfe_Aa(da-"^cH"J`bLb7ge^DXle'-\'eCiF!iSN1t
-\$4T<d*g7]ccjAWd)jebb/hQ9dE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[cH">Xa3i2QdE]e[
-cH">Xa3i2QgtC-/f$E"!cI:.^LkU:E5<-d)^Xpu[e'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5Q
-DOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@
-eBHCf_q!)Nf$D=dcHFbbbgat^eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_al;43((q/@
-j5?&ZMN*IIJpr&rH[(*iH at p]pK7A9$IscluI"QorK7A9$Iscm!H\6iqK7J6"J9cctH%UWmK7J6"
-J9cctH%UWmK7J6"J9cctH%UWmK7J6"J9cctH\6iqK7J<$Iscm!H\6fqK7J<$Iscm!H\6fqK7J<$
-Iscm!H\6fqK7J<$Iscm!H\6iqK7J6"J9cctH%UWmK7J6"J9cctH%UWmK7J6"J9cctH%UWmK7J6"
-J9cctH\6iqK7A9$IscluI"QorK7A9$IscluI#Nl8H?O at 4<Dio!!6<!mf$_n#g"+?f_pQcM_7mDY
-s7jLI\^]$Le'Q4P]scVFcd^@beBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb0J2KbK.NA`kRFfJP/O"dE]e]d)j_^aOAMXda-"d
-eBS$nps$t!g"+KWZE)U,c.(.`eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb/hQ9hV6Q&a2$QdeBuR^hV6Q(ahlEL`noJ"ai;*P
-gXOp-cd'_PcHF/RcH"/N_T0U.iSN20aMHfjf#5D9dE]egg=+U#bLFq^eBuFgdE9tdb1+h]eBuFg
-dE9tdb1+h]eBuFgdE9tdb1+h]eBuFgdE9tdb/hQ9bfR`FaMGs:^5Ro#9hIdtb/;]Taj\SUf$_[g
-c,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lW
-DQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"cbLFk[eBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO8I^]OQ:>$"T]2)%B_4$Yqg7moR784,^.3^Q%l69dLt5<;+q3^Q%l69dLt
-5<;+q3^Q%l69dLt5<;+q3^Q%l69dLt5<;+q3^Q%l69dLt5<;+q3^Q%l69dLt5<;+p4$l+m69[P!
-5!)(p4[M=o69[P!5!)(p4[M=o69[P!5!)(p4[M=o69[P!5!)(q3^Q%l69dLt5<;+q3^Q%l69dLt
-5<;+q3^Q%l69dLt5<;+q3^Q%l69dLt5<;+q3^Q%l69dLt5<;+q3^Q%l69dLt5<:ti2F0Me5s@:2
-!!(9d`R`M`gtC3)cH4nre)B08iSN1NOc"sKIY3/rF`M8[Ne`17GCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWpp7LPUY5OH#!7
-DJ)U56.aW2e^DXid)jVX`S/qjeBuG"iS'-CJ"r[)H?X=dLk1,+GCb3eJUVfoIWp?lGCb3eJUVfo
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp[)J:)W_N/<.+
-DJ+i^J9c<VMMH_9JpW&tGBn at MK7J6%K7&,pFGYa%Kn=Z+K7&B)H]<o8L4akhBOQpZKTM1JGB@\Q
-IWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWp?lGCb3eJUVfoIWpR#I>s,:LkU;;
-MM#kbAkkuee'Q4ed`^+c`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[
-D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2Oi
-ccahaajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7rhqA/4!!<3$"9AK."TSW)!!E<&!rr<'
-!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'
-!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'
-!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'!!!*$!!<3$!rr<'
-!!!*$!!<3$!rr<*!rrE'!"0&7!rr>Tf@&!ha3DcGda-(S_7JLXe3H/T8k2-(1+Pse5Y4F05!(Sh
-5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%
-5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%
-5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%
-5rqD"3^c7p6pWk#5<(PW/4rDt8Obp.4#GI7b1"_ZdE]eaeBQ1X_;*_l;,0VB2_Zj7,ZR`81bgIJ
-5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%
-5rqD"3^c7p6pWk,83o<s0gRu^;GThB1bD?k5s77b77'($4Z6)076`ml7moL&3AO<$6U!Rg69dFt
-5rq.i1HRQN;c$%M4>f8_1Ia_o4ZYAe5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%5rqD"3^c7p6pWk%
-5rqD"3^c7p6pWk!4Z5\o3]]2R7RK:,69 at Fq2Ug$pf$hjlcc4PaajSGUe'cOfd+!ApNA!Rt:MkqW
-Cm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfSDkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?
-s8UQtbgXnUe^).acc+J\bLOt`eBc=fccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'H=gcd("ccI:+be'H=gcd("ccI:+be'H=g
-cd("ccI:+be'H=gcd("ccI:+`e'H7ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'H%b
-d`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lXDPo[8V*8ak4DgoVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4UH<@g3cCcS
-DQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=dcHFbbbgat^eBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\V[e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=e]e'H7e
-cd("cbgXn`e'H7ecd("cbgXn`e'H7ecd("cbgXn`e'H7ecd("cbgXq^e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:ed*'nbbL=h[e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\SUf$_[gc,nG_cHjkeHA%825ug]tM+)6G5&QrRDP]=2W&egp4)Ur[
-D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>bC5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ih
-d*1"cbLFk[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccOY_aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd*'nbbL=h]e'H7ed*'nabgXq^e'H7ed*'nabgXq^e'H7ed*'nabgXq^e'H7e
-d*'nbbL=h[e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb_`n&S[d`on_da$1ce9Ze-00rT6
-D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UfTDPK72UH3:k3c:rZD5][8UIK$c9koL%
-eE$<&s3oKAe'Gq^cbn>[`R`>Xe^2OiccahaajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd*'nbbL=h]e'Q:ed*'nbbL=h]e'Q:e
-d*'nbbL=h]e'Q:ed*'nbbL=h]e'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-cc4PaajSGUe'cOfd+!ApNA!Rt:MkqWCm at 2%Si^hd3,b`VDQ#X7V`nso5&I&WD5B=3V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRi4)UfS
-Dkf at 2W&egr4)Lo\CnjI8QVD4N_pmc?s8UQtbgXnUe^).acc+J\bLOt`eBc=fccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'H%bd`Kq^aj\\`cd:0fKT.WN<DRIg7;S5QDOrq-V)WCl3c:lX
-DPo[8V*8ak4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4UH<@g3cCcSDQ#U6W]P'r5A[)aCR7b1Lr7a'p&G'@eBHCf_q!)Nf$D=d
-cHFbbbgat^eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_aj\VWe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DWe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\SUf$_[gc,nG_cHjkeHA%82
-5ug]tM+)6G5&QrRDP]=2W&egp4)Ur[D5BF5UHECi4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDPK:2UH3=g3c:lWDQ5d8W'>*n7Ve>b
-C5BdWjRrQQe'uUjcbn;Z_q*/Qf$;Ihd*1"cbLFk[eBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7dccO\_ajeYYeBc7d
-ccOY_a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV_`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&GTe'Z.`dDaS^`RE5Re'Z.`dDaS^`RE5Re'Z.`
-dDaS^`RE5Re'Z.`dDaS]a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.ad)XV^a4&DUe'Q.a
-d)XV^aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4cd)jb`aj\VYe'Q4c
-d)jb_`n&S[d`on_da$1ce9Ze-00rT6D2C\tPs0)W4)UlSDl>^7W&nmp5&I,[D5041V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V`Sao4)Lo[CoBX9Tgiga9koR$e`cT(s3K6EcI'e]d)aV^ajJJZda?=ddEKtbbL"Y[d*^%`
-dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`
-dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`
-dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`
-dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`
-dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`dEBnabL"Y[d*^%`
-dEBnabL"Y[d*^%`dEBnabL"Y[d*^%_d`]tbaj8DYcdKq]d`]tbaj8DYcdKq]d`]tbaj8DYcdKq]
-d`]tbaj8DYcdKq]d`Kh`aj8DWcdKq]d`Kh`aj8DWcdKq]d`Kh`aj8DWcdKq]d`Kh`aj8DWcdKq]
-d`Kh`aj8DYcdKq]d`]tbaj8DYcdKq]d`]tbaj8DYcdKq]d`]tbaj8DYcdKq]d`Kh`aj8DWcdKq]
-d`Kh`aj8DWcdKq]d`Kh`aj8DWcdKq]d`Kh`aj8DWcdKq]d`Kh`aj8DYcdKq]d`]tbaj8DYcdKq]
-d`]tbaj8DYcdKq]d`]tbaj8DYcdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_d`]tbbKnV[cdL"_
-d`]tbbKnV[cdL"_d`]tbbKnV[cdBt_ccsndda$.bcdLFfdFi_tOt8q&:MbnXCm./%S31\_4)UlV
-DPoR6V*8ak5&I&WD5B=3V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRm4D_)]Cofg:W]k6t6#3;aCS+.4QV;.SWl3_KS?6^[MKON,IY`i)
-JUhonIX['*HA-oqKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpL4=K&JU*!"H%gfp
-L4=K&JU*!"H%gfpL4=K&JU*!"H%gfpL4=K&JU*!"H%pfoL4=K'IsHcuH%pfoL4=K'IsHcuH%pfo
-L4=K'IsHcuH%pfoL4=K'IsHcuH%pfoL4=K&JU*!"H%gfpL4=K&JU*!"H%gfpL4=K&JU*!"H%gfp
-L4=K&JU*!"H%pfoL4=K'IsHcuH%pfoL4=K'IsHcuH%pfoL4=K'IsHcuH%pfoL4=K'IsHcuH%pfo
-L4=K&JU*!"H%gfpL4=K&JU*!"H%gfpL4=K&JU*!"H%gfpL4=K&JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfp
-Kn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s#H%gfpKn4N'JU)s'Dg[4cLm3%5O*-&<I#Xh'
-E/-JSE("2f88F>VCmRG)S3Lk_5&HuUDP911UHEFh4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V`Sas4)D&^CoT[8Va5-o6>W5_
-CR@\/OYg!W,sYZU2bbbf;):[@0LAGd5Y*b%9eSk+01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd6VK.#9J8b,01/Dd
-6VK.#:+S\11.GRp3Dgt]<&IHd/k]n-8o$e*MFMEG7;S;WD43\+Sj%"b4DpoUDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlU
-DPoI4W&S^o3c:iWDP]I5UHWRf6>W/ZD3mV(O@<f>8SX/\DN%P4M,J)A;/(S\Ckbi'MG\/J;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ),+N)=AL;/;+f
-CQ),+N)=AL;/;+fCQ),+N)=AL;/;+fCQ)52N)t%\8S3WGAqa*&P=K>I4_'@FG+h6>QpGSZ5&QuT
-DP9.0V)iLl3,b`TDl5[7V`Sdm4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk3cCiPEMYO4V)NCh2fYTPE1o at 3Tfd4b5AcuXD43t6S4R[h7;A&U
-As#SsO\9JS959baBq._.Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884Ye
-BV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue884YeBV%b/Sk3Ue88=S[@uNrpO at O&I8oU+o
-GbINCQoJT;5&-QNDP'%/Tf[.g3c:iTDl>U5W]+jt2fG]WDPoR6V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)WFh1if?IF.kF2Tepe`20,BL
-EM5 at 2UH3=g2ensJCna(-TfQbT4(b$NCSjU>WC1R%6><GcC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><MeC90a9X?gU&6><Me
-C90a9X?gX"6>N2ZD43Y'R6>>U6#WD\DkK73U-j++4)UrWDQ#O4W]+jt2f>cUDlts9Y;^C$3c:lX
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]=3UGR"b1NT0EF.Y70Tepe`20#BKEMYU5V`/Lk4E.AcE3DHEY<['46?9FtDR)?=Y!6g05Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KEZ9N645Ambk
-DR)KEZ9N645AmbkDR)KEZ9N645AmbkDR)KFY=*N85]W\`DkoF2U,Qh\2eo$FCSWn)V)W at m3,YfV
-Dlbm8XuC7$2/fZUDm)*;Xu^I!4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlUDkf11Teph_1if9HEhP at 1UG[%f20#NOE2Ya8X#P(#4)qMg
-EjRlGZScL#12!^FBW<t,W]"^k2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<L
-D5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K4.VD`:g2Jo<LD5K+%TJL5R4)_&_
-FKI`IX?h!45^0FnE3)$:W]4mt3,YfWDQGg8X>k+#3,YlYDQGp;V`Sdm4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk3cCcPEMGC3Tf$hb20#BM
-E2>L4V`/Rm2fGWRDlP[3W]"^r3H22\CTT=)WAeXt5^0[tE2Ya:U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`REMPR7U,d4h3-(`R
-EMPR7U,d4h3H:iWF/q6;V`A^q3,b`OB;%8"V*&^s2JT$KDQ5a8W]G$t3c:rYDQ5d8W]P't4)LuZ
-DPoR6V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlUDl#L5V)iOk3c:iVDPoO5V`J^n3c:iVDPoO5W&S^o3c:lUDl>^7W&S^n3cL]N
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiC_[3cLZM
-EL](/SiC_[3cLZMEL](/SiC_[3cLZMEL](/SiUh_3cCiUDPoO5V`J^n4)UrXDPoR6V`Sdo4DguY
-D5TR7V*8am5&I,\Co'@4V*8am4DgoVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Um5&@/[D5]R6V`\go4DguYD5B at 3V*&Xj4)UfT
-DPK:2UH<Cf4)^fSDkT72T0$t`3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZP
-Dk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/Si^k^3cLZPDk9"/T0$qc4)UlV
-DP]F4V)rRk4DpoVDPKC4UHWOi5A[)ZCnj:4Tg<Lg6#<5]CS<t/UHECi4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlWD5TR6W'>'t5AR8`
-CT'F5V`npp5&I,[D50:3Tfd4b4DpcRDk9(0S31_[4E$ZNDk&q-UH<@i4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoVDP]I4V)rRk4DgoV
-DP]I4V)rRk4DgoVDP]I5UHEFh4DpoVDPK=3UHWOg5&HuXD4s12Tg<Le6#</[CS*q/T0d=c6Yi;[
-CnWt/UH<@i4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4Dgu\CT9U7W^1C"5AR2^Co9L6Va#!o5A[)YD4s.2T0 at .a5&QlSDjik.RQbYW5&QrS
-D5B at 2W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[
-CoTU6W]Y*t4D_#[CoTU6W]Y*t4D_#[CoTU6W]Y*t4Dh#ZDPK:3Tfd4d4DpiTDP972Tg!@d5Ad#W
-D4a%0T0[:c6#E2[CS*q0SjI4b6#</UDPK:2V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Um5&@/]CoBR6W'5$r5&@,\Co9I6V*8ak5&I&Y
-D4s.1Tg!@d5&QrUDOs%0Sj%"b4Dh#ZCofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]
-Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=#4D_)]Cofa8X?:=!4)UlU
-DkT72Tf[1d4)^fTDP911Tg!=e5&HuWD4s12Tg*Cd5Ad)YD4a+1Tg*Cf4DpoUDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V*&Um4DguY
-D5TL5V`\go4DguYD5B at 3V*&Uk4DgoWD5B at 4UHWOi4DpoXD5041V*&Un4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[CoTR6W]Y*t4)Lu[
-CoTR6W]Y*t4)Lu[CoTR6W&ejn3,kQNE2,I4TfR+e3cC]RDPK:2UH<@g4)UfUDPK=3UHEFh4DpoX
-D5042UH<@i4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]C4V)iOk3cCiUDl#O5V)rRk4)UrXDPoR5W&njp4)LoXD5o^7W]P't4D_#Z
-D5]O6V`Jam4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlU
-Dl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#O5V)iOk4)UlUDl#C3V)NCh2fPTQE2,C2V)WFh3,bWQ
-Dl#F3V)WCi3cCiUDl#L5V)iOk3cCiUDl#O5V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlUDkf:2UH3=g3cCcSDl#L5V)iLl3c:iV
-DQ#U6W&njr4)LuZD6,g9X?1:#4)LoWDl#L5TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]Q
-Dkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cC]QDkf at 3TfR+e3cCcQ
-Dl#C3V)WCi3,bWQDl#F3V)WCi3,bWQDl5R5V`8Um3,b]UDPoI4V`J^n3c:iWDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlU
-Dl#O5V)rRk4)UlVDP]F4V)rRk4)UrXDPoR6V`Sdo4)UrXDPoR6V`Sdo4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlVDPK:2V)rRi4)UlV
-DPK:2V)rRi4)UlVDPK:2V)rRk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk3cCiUDl#L5V)iOk4)UlU
-Dl#O5V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlVDP]F4V)rRk4)UlV
-DP]F4V)rRk4)UlVDP]F4V)rRk4)Uk~>
-Q
-cleartomark end end pagesave restore showpage
-%%PageTrailer
-%%Trailer
-%%Pages: 1
-%%EOF
diff --git a/inst/doc/figs/increase.pdf b/inst/doc/figs/increase.pdf
deleted file mode 100644
index 7df66f0..0000000
Binary files a/inst/doc/figs/increase.pdf and /dev/null differ
diff --git a/inst/doc/figs/roc.eps b/inst/doc/figs/roc.eps
deleted file mode 100644
index 717fec7..0000000
--- a/inst/doc/figs/roc.eps
+++ /dev/null
@@ -1,396 +0,0 @@
-%!PS-Adobe-3.0
-%%DocumentNeededResources: font Times-Roman
-%%+ font Times-Bold
-%%+ font Times-Italic
-%%+ font Times-BoldItalic
-%%+ font Symbol
-%%DocumentMedia: special 288 288 0 () ()
-%%Title: R Graphics Output
-%%Creator: R Software
-%%Pages: (atend)
-%%BoundingBox: 0 0 288 288
-%%EndComments
-%%BeginProlog
-/bp  { gs gs } def
-% begin .ps.prolog
-/gs  { gsave } def
-/gr  { grestore } def
-/ep  { showpage gr gr } def
-/m   { moveto } def
-/l  { rlineto } def
-/np  { newpath } def
-/cp  { closepath } def
-/f   { fill } def
-/o   { stroke } def
-/c   { newpath 0 360 arc } def
-/r   { 4 2 roll moveto 1 copy 3 -1 roll exch 0 exch rlineto 0 rlineto -1 mul 0 exch rlineto closepath } def
-/p1  { stroke } def
-/p2  { gsave bg setrgbcolor fill grestore newpath } def
-/p3  { gsave bg setrgbcolor fill grestore stroke } def
-/t   { 6 -2 roll moveto gsave rotate
-       ps mul neg 0 2 1 roll rmoveto
-       1 index stringwidth pop
-       mul neg 0 rmoveto show grestore } def
-/cl  { grestore gsave newpath 3 index 3 index moveto 1 index
-       4 -1 roll lineto  exch 1 index lineto lineto
-       closepath clip newpath } def
-/rgb { setrgbcolor } def
-/s   { scalefont setfont } def
-/R   { /Font1 findfont } def
-/B   { /Font2 findfont } def
-/I   { /Font3 findfont } def
-/BI  { /Font4 findfont } def
-/S   { /Font5 findfont } def
-1 setlinecap 1 setlinejoin
-% end   .ps.prolog
-%%IncludeResource: font Times-Roman
-/Times-Roman findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font1 exch definefont pop
-%%IncludeResource: font Times-Bold
-/Times-Bold findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font2 exch definefont pop
-%%IncludeResource: font Times-Italic
-/Times-Italic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font3 exch definefont pop
-%%IncludeResource: font Times-BoldItalic
-/Times-BoldItalic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font4 exch definefont pop
-%%IncludeResource: font Symbol
-/Symbol findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  currentdict
-  end
-/Font5 exch definefont pop
-%%EndProlog
-%%Page: 1 1
-bp
-0.00 0.00 288.00 288.00 cl
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-48.00 48.00 m
-228.00 0 l
-o
-np
-48.00 48.00 m
-0 -3.00 l
-o
-np
-93.60 48.00 m
-0 -3.00 l
-o
-np
-139.20 48.00 m
-0 -3.00 l
-o
-np
-184.80 48.00 m
-0 -3.00 l
-o
-np
-230.40 48.00 m
-0 -3.00 l
-o
-np
-276.00 48.00 m
-0 -3.00 l
-o
-/ps 10 def R 10 s
-48.00 31.20 (0.0) .5 0 0 t
-93.60 31.20 (0.2) .5 0 0 t
-139.20 31.20 (0.4) .5 0 0 t
-184.80 31.20 (0.6) .5 0 0 t
-230.40 31.20 (0.8) .5 0 0 t
-276.00 31.20 (1.0) .5 0 0 t
-np
-48.00 48.00 m
-0 216.00 l
-o
-np
-48.00 48.00 m
--3.00 0 l
-o
-np
-48.00 91.20 m
--3.00 0 l
-o
-np
-48.00 134.40 m
--3.00 0 l
-o
-np
-48.00 177.60 m
--3.00 0 l
-o
-np
-48.00 220.80 m
--3.00 0 l
-o
-np
-48.00 264.00 m
--3.00 0 l
-o
-38.40 48.00 (0.0) .5 0 90 t
-38.40 91.20 (0.2) .5 0 90 t
-38.40 134.40 (0.4) .5 0 90 t
-38.40 177.60 (0.6) .5 0 90 t
-38.40 220.80 (0.8) .5 0 90 t
-38.40 264.00 (1.0) .5 0 90 t
-np
-48.00 48.00 m
-228.00 0 l
-0 216.00 l
--228.00 0 l
-0 -216.00 l
-o
-0.00 0.00 288.00 288.00 cl
-/ps 12 def B 12 s
-0 0 0 rgb
-162.00 279.14 (ROC Plot ) .5 0 0 t
-162.00 264.74 () .5 0 0 t
-/ps 10 def R 10 s
-162.00 14.40 (Proportion of 1's Correctly Predicted) .5 0 0 t
-21.60 156.00 (Proportion of 0's Correctly Predicted) .5 0 90 t
-48.00 48.00 276.00 264.00 cl
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-276.00 48.00 m
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0.05 l
-0 0.06 l
-0 0 l
--0.04 0.05 l
-0 0.05 l
-0 0.06 l
-0 0.26 l
--0.02 0.06 l
--0.02 0 l
--0.07 0.16 l
--0.02 0.16 l
-0 0.16 l
--0.06 0.27 l
--0.08 0 l
--0.08 0.21 l
--0.02 0.21 l
--0.13 0.06 l
--0.06 0.32 l
--0.04 0.58 l
--0.09 0.59 l
--0.14 0.38 l
--0.02 0.37 l
--0.23 0.75 l
--0.14 0.75 l
--0.13 1.06 l
--0.25 0.54 l
--0.20 1.12 l
--0.17 0.91 l
--0.31 0.91 l
--0.25 1.01 l
--0.33 1.02 l
--0.39 0.64 l
--0.27 1.12 l
--0.31 0.91 l
--0.36 1.28 l
--0.45 1.76 l
--0.54 1.50 l
--0.54 2.08 l
--0.64 1.66 l
--0.44 2.08 l
--0.83 1.82 l
--0.57 2.30 l
--1.21 3.90 l
--0.99 2.88 l
--0.95 2.41 l
--1.33 3.79 l
--1.49 3.58 l
--1.62 3.90 l
--2.50 4.86 l
--2.03 4.70 l
--2.43 4.97 l
--2.67 5.93 l
--3.46 7.32 l
--3.04 5.98 l
--3.24 5.72 l
--4.78 8.55 l
--3.75 6.25 l
--3.67 6.14 l
--4.74 6.20 l
--4.95 5.77 l
--6.01 7.16 l
--5.18 5.56 l
--5.95 5.18 l
--5.98 4.91 l
--6.44 5.29 l
--6.07 4.60 l
--7.73 3.95 l
--6.51 4.44 l
--6.50 4.80 l
--7.11 3.90 l
--6.36 4.17 l
--8.10 5.18 l
--8.34 5.19 l
--6.88 3.74 l
--7.15 3.74 l
--7.42 3.25 l
--7.02 3.00 l
--7.60 2.61 l
--6.63 2.35 l
--6.09 1.98 l
--6.63 1.66 l
--5.78 2.13 l
--6.03 1.82 l
--5.80 0.75 l
--4.00 1.07 l
--3.87 0.59 l
--2.36 0.48 l
--1.06 0.32 l
--0.31 0.05 l
-0 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-276.00 48.00 m
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
--0.23 0.69 l
-0 0 l
--0.06 0.27 l
--0.08 0.43 l
-0 0 l
-0 0 l
-0 0 l
--0.23 0.85 l
--0.37 0.75 l
-0 0 l
--0.58 2.03 l
-0 0 l
--0.17 0.27 l
-0 0 l
--0.64 0.91 l
-0 0 l
--0.23 0.85 l
--0.52 1.44 l
-0 0 l
--0.80 1.23 l
-0 0 l
--0.83 2.14 l
-0 0 l
--1.00 2.35 l
-0 0 l
--0.89 1.98 l
-0 0 l
--1.30 2.24 l
-0 0 l
--1.52 2.78 l
-0 0 l
--2.19 3.95 l
-0 0 l
--1.27 3.00 l
-0 0 l
--3.19 6.19 l
--1.47 3.64 l
-0 0 l
--13.36 18.32 l
-0 0 l
--1.82 4.60 l
-0 0 l
--5.74 9.88 l
--7.33 12.39 l
-0 0 l
--8.39 14.59 l
--1.39 1.49 l
-0 0 l
--7.38 11.97 l
--3.12 2.19 l
-0 0 l
--67.62 62.78 l
--0.79 0.75 l
-0 0 l
--10.65 7.26 l
--2.46 0.91 l
--27.10 14.53 l
--0.62 0.16 l
--5.51 2.99 l
-0 0 l
--26.50 8.66 l
--1.41 0.37 l
--5.46 1.71 l
-0 0 l
-0 0 l
--13.78 2.46 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-0 0 l
-o
-0.75 setlinewidth
-[ 0.00 4.00] 0 setdash
-np
-48.00 264.00 m
-228.00 -216.00 l
-o
-49.20 61.20 262.80 238.80 cl
-ep
-%%Trailer
-%%Pages: 1
-%%EOF
diff --git a/inst/doc/figs/roc.pdf b/inst/doc/figs/roc.pdf
deleted file mode 100644
index 3dac60c..0000000
--- a/inst/doc/figs/roc.pdf
+++ /dev/null
@@ -1,401 +0,0 @@
-%PDF-1.1
-%���ρ�
-1 0 obj
-<<
-/CreationDate (D:20040203162831)
-/ModDate (D:20040203162831)
-/Title (R Graphics Output)
-/Producer (R 1.8.1)
-/Creator (R)
->>
-endobj
-2 0 obj
-<<
-/Type /Catalog
-/Pages 3 0 R
->>
-endobj
-4 0 obj
-<<
-/ProcSet [/PDF /Text]
-/Font << /F1 6 0 R /F2 7 0 R /F3 8 0 R /F4 9 0 R /F5 10 0 R /F6 11 0 R >>
->>
-endobj
-5 0 obj
-<<
-/Type /Encoding
-/BaseEncoding /PDFDocEncoding
-/Differences [ 45/minus 96/quoteleft
-144/dotlessi /grave /acute /circumflex /tilde /macron /breve /dotaccent
-/dieresis /.notdef /ring /cedilla /.notdef /hungarumlaut /ogonek /caron /space]
->>
-endobj
-6 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F1
-/BaseFont /Times-Roman
-/Encoding 5 0 R
->>
-endobj
-7 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F2
-/BaseFont /Times-Bold
-/Encoding 5 0 R
->>
-endobj
-8 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F3
-/BaseFont /Times-Italic
-/Encoding 5 0 R
->>
-endobj
-9 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F4
-/BaseFont /Times-BoldItalic
-/Encoding 5 0 R
->>
-endobj
-10 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F5
-/BaseFont /Symbol
->>
-endobj
-11 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F6
-/BaseFont /ZapfDingbats
->>
-endobj
-12 0 obj
-<<
-/Type /Page
-/Parent 3 0 R
-/Contents 13 0 R
-/Resources 4 0 R
->>
-endobj
-13 0 obj
-<<
-/Length 14 0 R
->>
-stream
-1 J 1 j 10 M q
-Q q
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-48.00 48.00 m 276.00 48.00 l S
-48.00 48.00 m 48.00 45.00 l S
-93.60 48.00 m 93.60 45.00 l S
-139.20 48.00 m 139.20 45.00 l S
-184.80 48.00 m 184.80 45.00 l S
-230.40 48.00 m 230.40 45.00 l S
-276.00 48.00 m 276.00 45.00 l S
-BT
-0.000 0.000 0.000 rg
-/F1 1 Tf 10.00 0.00 -0.00 10.00 41.75 31.20 Tm (0.0) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 87.35 31.20 Tm (0.2) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 132.95 31.20 Tm (0.4) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 178.55 31.20 Tm (0.6) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 224.15 31.20 Tm (0.8) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 269.75 31.20 Tm (1.0) Tj
-ET
-48.00 48.00 m 48.00 264.00 l S
-48.00 48.00 m 45.00 48.00 l S
-48.00 91.20 m 45.00 91.20 l S
-48.00 134.40 m 45.00 134.40 l S
-48.00 177.60 m 45.00 177.60 l S
-48.00 220.80 m 45.00 220.80 l S
-48.00 264.00 m 45.00 264.00 l S
-BT
-/F1 1 Tf 0.00 10.00 -10.00 0.00 38.40 41.75 Tm (0.0) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 38.40 84.95 Tm (0.2) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 38.40 128.15 Tm (0.4) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 38.40 171.35 Tm (0.6) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 38.40 214.55 Tm (0.8) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 38.40 257.75 Tm (1.0) Tj
-ET
-48.00 48.00 m
-276.00 48.00 l
-276.00 264.00 l
-48.00 264.00 l
-48.00 48.00 l
-S
-Q q
-BT
-0.000 0.000 0.000 rg
-/F2 1 Tf 12.00 0.00 -0.00 12.00 135.34 279.14 Tm (ROC Plot ) Tj
-/F2 1 Tf 12.00 0.00 -0.00 12.00 162.00 264.74 Tm () Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 87.84 14.40 Tm (Proportion of 1's Correctly Predicted) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 21.60 81.84 Tm (Proportion of 0's Correctly Predicted) Tj
-ET
-Q q 48.00 48.00 228.00 216.00 re W n
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-276.00 48.00 m
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.05 l
-276.00 48.11 l
-276.00 48.11 l
-275.96 48.16 l
-275.96 48.21 l
-275.96 48.27 l
-275.96 48.53 l
-275.94 48.59 l
-275.92 48.59 l
-275.85 48.75 l
-275.83 48.91 l
-275.83 49.07 l
-275.77 49.34 l
-275.69 49.34 l
-275.61 49.55 l
-275.59 49.76 l
-275.46 49.82 l
-275.40 50.14 l
-275.36 50.72 l
-275.27 51.31 l
-275.13 51.69 l
-275.11 52.06 l
-274.88 52.81 l
-274.74 53.56 l
-274.61 54.62 l
-274.36 55.16 l
-274.16 56.28 l
-273.99 57.19 l
-273.68 58.10 l
-273.43 59.11 l
-273.10 60.13 l
-272.71 60.77 l
-272.44 61.89 l
-272.13 62.80 l
-271.77 64.08 l
-271.32 65.84 l
-270.78 67.34 l
-270.24 69.42 l
-269.60 71.08 l
-269.16 73.16 l
-268.33 74.98 l
-267.76 77.28 l
-266.55 81.18 l
-265.56 84.06 l
-264.61 86.47 l
-263.28 90.26 l
-261.79 93.84 l
-260.17 97.74 l
-257.67 102.60 l
-255.64 107.30 l
-253.21 112.27 l
-250.54 118.20 l
-247.08 125.52 l
-244.04 131.50 l
-240.80 137.22 l
-236.02 145.77 l
-232.27 152.02 l
-228.60 158.16 l
-223.86 164.36 l
-218.91 170.13 l
-212.90 177.29 l
-207.72 182.85 l
-201.77 188.03 l
-195.79 192.94 l
-189.35 198.23 l
-183.28 202.83 l
-175.55 206.78 l
-169.04 211.22 l
-162.54 216.02 l
-155.43 219.92 l
-149.07 224.09 l
-140.97 229.27 l
-132.63 234.46 l
-125.75 238.20 l
-118.60 241.94 l
-111.18 245.19 l
-104.16 248.19 l
-96.56 250.80 l
-89.93 253.15 l
-83.84 255.13 l
-77.21 256.79 l
-71.43 258.92 l
-65.40 260.74 l
-59.60 261.49 l
-55.60 262.56 l
-51.73 263.15 l
-49.37 263.63 l
-48.31 263.95 l
-48.00 264.00 l
-48.00 264.00 l
-S
-0.75 w
-[ 3.00 5.00] 0 d
-276.00 48.00 m
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-276.00 48.00 l
-275.77 48.69 l
-275.77 48.69 l
-275.71 48.96 l
-275.63 49.39 l
-275.63 49.39 l
-275.63 49.39 l
-275.63 49.39 l
-275.40 50.24 l
-275.03 50.99 l
-275.03 50.99 l
-274.45 53.02 l
-274.45 53.02 l
-274.28 53.29 l
-274.28 53.29 l
-273.64 54.20 l
-273.64 54.20 l
-273.41 55.05 l
-272.89 56.49 l
-272.89 56.49 l
-272.09 57.72 l
-272.09 57.72 l
-271.26 59.86 l
-271.26 59.86 l
-270.26 62.21 l
-270.26 62.21 l
-269.37 64.19 l
-269.37 64.19 l
-268.07 66.43 l
-268.07 66.43 l
-266.55 69.21 l
-266.55 69.21 l
-264.36 73.16 l
-264.36 73.16 l
-263.09 76.16 l
-263.09 76.16 l
-259.90 82.35 l
-258.43 85.99 l
-258.43 85.99 l
-245.07 104.31 l
-245.07 104.31 l
-243.25 108.91 l
-243.25 108.91 l
-237.51 118.79 l
-230.18 131.18 l
-230.18 131.18 l
-221.79 145.77 l
-220.40 147.26 l
-220.40 147.26 l
-213.02 159.23 l
-209.90 161.42 l
-209.90 161.42 l
-142.28 224.20 l
-141.49 224.95 l
-141.49 224.95 l
-130.84 232.21 l
-128.38 233.12 l
-101.28 247.65 l
-100.66 247.81 l
-95.15 250.80 l
-95.15 250.80 l
-68.65 259.46 l
-67.24 259.83 l
-61.78 261.54 l
-61.78 261.54 l
-61.78 261.54 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-48.00 264.00 l
-S
-0.75 w
-[ 0.00 4.00] 0 d
-48.00 264.00 m 276.00 48.00 l S
-Q q 49.20 61.20 213.60 177.60 re W n
-Q
-endstream
-endobj
-14 0 obj
-4855
-endobj
-3 0 obj
-<<
-/Type /Pages
-/Kids [
-12 0 R
-]
-/Count 1
-/MediaBox [0 0 288 288]
->>
-endobj
-xref
-0 15
-0000000000 65535 f 
-0000000020 00000 n 
-0000000162 00000 n 
-0000006156 00000 n 
-0000000211 00000 n 
-0000000328 00000 n 
-0000000584 00000 n 
-0000000682 00000 n 
-0000000779 00000 n 
-0000000878 00000 n 
-0000000981 00000 n 
-0000001059 00000 n 
-0000001143 00000 n 
-0000001225 00000 n 
-0000006135 00000 n 
-trailer
-<<
-/Size 15
-/Info 1 0 R
-/Root 2 0 R
->>
-startxref
-6240
-%%EOF
diff --git a/inst/doc/figs/sample1.eps b/inst/doc/figs/sample1.eps
deleted file mode 100644
index f5cc10a..0000000
--- a/inst/doc/figs/sample1.eps
+++ /dev/null
@@ -1,914 +0,0 @@
-%!PS-Adobe-3.0
-%%DocumentNeededResources: font Times-Roman
-%%+ font Times-Bold
-%%+ font Times-Italic
-%%+ font Times-BoldItalic
-%%+ font Symbol
-%%DocumentMedia: special 450 288 0 () ()
-%%Title: R Graphics Output
-%%Creator: R Software
-%%Pages: (atend)
-%%BoundingBox: 0 0 450 288
-%%EndComments
-%%BeginProlog
-/bp  { gs gs } def
-% begin .ps.prolog
-/gs  { gsave } def
-/gr  { grestore } def
-/ep  { showpage gr gr } def
-/m   { moveto } def
-/l  { rlineto } def
-/np  { newpath } def
-/cp  { closepath } def
-/f   { fill } def
-/o   { stroke } def
-/c   { newpath 0 360 arc } def
-/r   { 4 2 roll moveto 1 copy 3 -1 roll exch 0 exch rlineto 0 rlineto -1 mul 0 exch rlineto closepath } def
-/p1  { stroke } def
-/p2  { gsave bg setrgbcolor fill grestore newpath } def
-/p3  { gsave bg setrgbcolor fill grestore stroke } def
-/t   { 6 -2 roll moveto gsave rotate
-       ps mul neg 0 2 1 roll rmoveto
-       1 index stringwidth pop
-       mul neg 0 rmoveto show grestore } def
-/cl  { grestore gsave newpath 3 index 3 index moveto 1 index
-       4 -1 roll lineto  exch 1 index lineto lineto
-       closepath clip newpath } def
-/rgb { setrgbcolor } def
-/s   { scalefont setfont } def
-/R   { /Font1 findfont } def
-/B   { /Font2 findfont } def
-/I   { /Font3 findfont } def
-/BI  { /Font4 findfont } def
-/S   { /Font5 findfont } def
-1 setlinecap 1 setlinejoin
-% end   .ps.prolog
-%%IncludeResource: font Times-Roman
-/Times-Roman findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font1 exch definefont pop
-%%IncludeResource: font Times-Bold
-/Times-Bold findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font2 exch definefont pop
-%%IncludeResource: font Times-Italic
-/Times-Italic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font3 exch definefont pop
-%%IncludeResource: font Times-BoldItalic
-/Times-BoldItalic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font4 exch definefont pop
-%%IncludeResource: font Symbol
-/Symbol findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  currentdict
-  end
-/Font5 exch definefont pop
-%%EndProlog
-%%Page: 1 1
-bp
-57.60 57.60 435.60 259.20 cl
-/bg { 0.7451 0.7451 0.7451 } def
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
- 73.35 68.38 m
-14.00 0 l
-0 18.85 l
--14.00 0 l
-cp p3
-np
-73.35 75.01 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-80.35 67.88 m
-0 0.50 l
-o
-np
-80.35 94.92 m
-0 -7.69 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-76.85 67.88 m
-7.00 0 l
-o
-np
-76.85 94.92 m
-7.00 0 l
-o
-np
- 90.85 79.61 m
-14.00 0 l
-0 12.12 l
--14.00 0 l
-cp p3
-np
-90.85 82.03 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-97.85 77.18 m
-0 2.43 l
-o
-np
-97.85 101.43 m
-0 -9.70 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-94.35 77.18 m
-7.00 0 l
-o
-np
-94.35 101.43 m
-7.00 0 l
-o
-np
- 108.35 68.06 m
-14.00 0 l
-0 5.50 l
--14.00 0 l
-cp p3
-np
-108.35 68.23 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-115.35 67.88 m
-0 0.18 l
-o
-np
-115.35 78.88 m
-0 -5.32 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-111.85 67.88 m
-7.00 0 l
-o
-np
-111.85 78.88 m
-7.00 0 l
-o
-np
- 125.85 83.20 m
-14.00 0 l
-0 0 l
--14.00 0 l
-cp p3
-np
-125.85 83.20 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-132.85 83.20 m
-0 0 l
-o
-np
-132.85 83.20 m
-0 0 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-129.35 83.20 m
-7.00 0 l
-o
-np
-129.35 83.20 m
-7.00 0 l
-o
-np
- 143.35 75.58 m
-14.00 0 l
-0 21.15 l
--14.00 0 l
-cp p3
-np
-143.35 81.57 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-150.35 67.88 m
-0 7.70 l
-o
-np
-150.35 115.97 m
-0 -19.24 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-146.85 67.88 m
-7.00 0 l
-o
-np
-146.85 115.97 m
-7.00 0 l
-o
-np
- 160.85 74.56 m
-14.00 0 l
-0 18.14 l
--14.00 0 l
-cp p3
-np
-160.85 80.90 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-167.85 68.23 m
-0 6.33 l
-o
-np
-167.85 112.56 m
-0 -19.86 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-164.35 68.23 m
-7.00 0 l
-o
-np
-164.35 112.56 m
-7.00 0 l
-o
-np
- 178.35 74.19 m
-14.00 0 l
-0 14.09 l
--14.00 0 l
-cp p3
-np
-178.35 76.74 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-185.35 67.00 m
-0 7.19 l
-o
-np
-185.35 101.43 m
-0 -13.15 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-181.85 67.00 m
-7.00 0 l
-o
-np
-181.85 101.43 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-184.85 115.47 1.00 1.00 r p2
-184.85 159.55 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 195.85 73.95 m
-14.00 0 l
-0 17.28 l
--14.00 0 l
-cp p3
-np
-195.85 82.03 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-202.85 67.23 m
-0 6.72 l
-o
-np
-202.85 101.58 m
-0 -10.35 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-199.35 67.23 m
-7.00 0 l
-o
-np
-199.35 101.58 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-202.35 119.29 1.00 1.00 r p2
-202.35 132.09 1.00 1.00 r p2
-202.35 148.36 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 213.35 74.56 m
-14.00 0 l
-0 19.01 l
--14.00 0 l
-cp p3
-np
-213.35 81.84 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-220.35 68.02 m
-0 6.54 l
-o
-np
-220.35 107.82 m
-0 -14.25 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-216.85 68.02 m
-7.00 0 l
-o
-np
-216.85 107.82 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-219.85 130.02 1.00 1.00 r p2
-219.85 143.74 1.00 1.00 r p2
-219.85 148.36 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 230.85 79.87 m
-14.00 0 l
-0 26.60 l
--14.00 0 l
-cp p3
-np
-230.85 90.11 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-237.85 67.66 m
-0 12.21 l
-o
-np
-237.85 144.24 m
-0 -37.77 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-234.35 67.66 m
-7.00 0 l
-o
-np
-234.35 144.24 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-237.35 174.03 1.00 1.00 r p2
-237.35 152.16 1.00 1.00 r p2
-237.35 213.33 1.00 1.00 r p2
-237.35 149.41 1.00 1.00 r p2
-237.35 147.49 1.00 1.00 r p2
-237.35 174.06 1.00 1.00 r p2
-237.35 219.74 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 248.35 78.21 m
-14.00 0 l
-0 32.06 l
--14.00 0 l
-cp p3
-np
-248.35 88.28 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-255.35 67.88 m
-0 10.33 l
-o
-np
-255.35 149.91 m
-0 -39.64 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-251.85 67.88 m
-7.00 0 l
-o
-np
-251.85 149.91 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-254.85 179.52 1.00 1.00 r p2
-254.85 210.02 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 265.85 81.19 m
-14.00 0 l
-0 26.41 l
--14.00 0 l
-cp p3
-np
-265.85 93.57 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-272.85 65.07 m
-0 16.12 l
-o
-np
-272.85 144.24 m
-0 -36.64 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-269.35 65.07 m
-7.00 0 l
-o
-np
-269.35 144.24 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-272.35 181.14 1.00 1.00 r p2
-272.35 163.31 1.00 1.00 r p2
-272.35 219.74 1.00 1.00 r p2
-272.35 207.05 1.00 1.00 r p2
-272.35 179.52 1.00 1.00 r p2
-272.35 152.16 1.00 1.00 r p2
-272.35 173.00 1.00 1.00 r p2
-272.35 152.16 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 283.35 82.03 m
-14.00 0 l
-0 27.22 l
--14.00 0 l
-cp p3
-np
-283.35 94.92 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-290.35 68.02 m
-0 14.01 l
-o
-np
-290.35 147.99 m
-0 -38.74 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-286.85 68.02 m
-7.00 0 l
-o
-np
-286.85 147.99 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-289.85 152.16 1.00 1.00 r p2
-289.85 159.55 1.00 1.00 r p2
-289.85 151.48 1.00 1.00 r p2
-289.85 159.55 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 300.85 91.73 m
-14.00 0 l
-0 38.25 l
--14.00 0 l
-cp p3
-np
-300.85 109.84 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-307.85 67.00 m
-0 24.73 l
-o
-np
-307.85 183.92 m
-0 -53.94 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-304.35 67.00 m
-7.00 0 l
-o
-np
-304.35 183.92 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-307.35 205.03 1.00 1.00 r p2
-307.35 230.96 1.00 1.00 r p2
-307.35 210.02 1.00 1.00 r p2
-307.35 197.64 1.00 1.00 r p2
-307.35 213.29 1.00 1.00 r p2
-307.35 235.54 1.00 1.00 r p2
-307.35 213.33 1.00 1.00 r p2
-307.35 251.23 1.00 1.00 r p2
-307.35 213.33 1.00 1.00 r p2
-307.35 197.64 1.00 1.00 r p2
-307.35 205.09 1.00 1.00 r p2
-307.35 251.23 1.00 1.00 r p2
-307.35 205.09 1.00 1.00 r p2
-307.35 219.74 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 318.35 90.76 m
-14.00 0 l
-0 39.22 l
--14.00 0 l
-cp p3
-np
-318.35 111.40 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-325.35 67.66 m
-0 23.10 l
-o
-np
-325.35 183.92 m
-0 -53.94 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-321.85 67.66 m
-7.00 0 l
-o
-np
-321.85 183.92 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-324.85 190.11 1.00 1.00 r p2
-324.85 205.09 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 335.85 95.33 m
-14.00 0 l
-0 45.91 l
--14.00 0 l
-cp p3
-np
-335.85 118.67 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-342.85 68.02 m
-0 27.31 l
-o
-np
-342.85 205.59 m
-0 -64.35 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-339.35 68.02 m
-7.00 0 l
-o
-np
-339.35 205.59 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-342.35 227.22 1.00 1.00 r p2
-342.35 213.29 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 353.35 103.69 m
-14.00 0 l
-0 48.29 l
--14.00 0 l
-cp p3
-np
-353.35 126.23 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-360.35 67.00 m
-0 36.69 l
-o
-np
-360.35 205.53 m
-0 -53.55 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-356.85 67.00 m
-7.00 0 l
-o
-np
-356.85 205.53 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-359.85 235.54 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 370.85 100.90 m
-14.00 0 l
-0 51.76 l
--14.00 0 l
-cp p3
-np
-370.85 126.29 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-377.85 65.07 m
-0 35.83 l
-o
-np
-377.85 227.72 m
-0 -75.06 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-374.35 65.07 m
-7.00 0 l
-o
-np
-374.35 227.72 m
-7.00 0 l
-o
-/bg { 0 0 0 } def
-377.35 230.96 1.00 1.00 r p2
-/bg { 0.7451 0.7451 0.7451 } def
-np
- 388.35 112.22 m
-14.00 0 l
-0 71.70 l
--14.00 0 l
-cp p3
-np
-388.35 129.98 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-395.35 72.79 m
-0 39.43 l
-o
-np
-395.35 231.46 m
-0 -47.54 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-391.85 72.79 m
-7.00 0 l
-o
-np
-391.85 231.46 m
-7.00 0 l
-o
-np
- 405.85 117.32 m
-14.00 0 l
-0 88.24 l
--14.00 0 l
-cp p3
-np
-405.85 141.24 m
-14.00 0 l
-o
-0.75 setlinewidth
-[ 3.00 5.00] 0 setdash
-np
-412.85 68.72 m
-0 48.60 l
-o
-np
-412.85 251.73 m
-0 -46.17 l
-o
-0.75 setlinewidth
-[] 0 setdash
-np
-409.35 68.72 m
-7.00 0 l
-o
-np
-409.35 251.73 m
-7.00 0 l
-o
-0.00 0.00 450.00 288.00 cl
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-80.35 57.60 m
-332.50 0 l
-o
-np
-80.35 57.60 m
-0 -3.60 l
-o
-np
-97.85 57.60 m
-0 -3.60 l
-o
-np
-115.35 57.60 m
-0 -3.60 l
-o
-np
-132.85 57.60 m
-0 -3.60 l
-o
-np
-150.35 57.60 m
-0 -3.60 l
-o
-np
-167.85 57.60 m
-0 -3.60 l
-o
-np
-185.35 57.60 m
-0 -3.60 l
-o
-np
-202.85 57.60 m
-0 -3.60 l
-o
-np
-220.35 57.60 m
-0 -3.60 l
-o
-np
-237.85 57.60 m
-0 -3.60 l
-o
-np
-255.35 57.60 m
-0 -3.60 l
-o
-np
-272.85 57.60 m
-0 -3.60 l
-o
-np
-290.35 57.60 m
-0 -3.60 l
-o
-np
-307.85 57.60 m
-0 -3.60 l
-o
-np
-325.35 57.60 m
-0 -3.60 l
-o
-np
-342.85 57.60 m
-0 -3.60 l
-o
-np
-360.35 57.60 m
-0 -3.60 l
-o
-np
-377.85 57.60 m
-0 -3.60 l
-o
-np
-395.35 57.60 m
-0 -3.60 l
-o
-np
-412.85 57.60 m
-0 -3.60 l
-o
-/ps 12 def R 12 s
-80.35 37.44 (0) .5 0 0 t
-115.35 37.44 (1) .5 0 0 t
-132.85 37.44 (2) .5 0 0 t
-150.35 37.44 (3) .5 0 0 t
-167.85 37.44 (4) .5 0 0 t
-185.35 37.44 (5) .5 0 0 t
-202.85 37.44 (6) .5 0 0 t
-220.35 37.44 (7) .5 0 0 t
-237.85 37.44 (8) .5 0 0 t
-255.35 37.44 (9) .5 0 0 t
-290.35 37.44 (11) .5 0 0 t
-325.35 37.44 (13) .5 0 0 t
-360.35 37.44 (15) .5 0 0 t
-395.35 37.44 (17) .5 0 0 t
-np
-57.60 65.07 m
-0 187.61 l
-o
-np
-57.60 65.07 m
--3.60 0 l
-o
-np
-57.60 127.60 m
--3.60 0 l
-o
-np
-57.60 190.14 m
--3.60 0 l
-o
-np
-57.60 252.68 m
--3.60 0 l
-o
-46.08 65.07 (0) .5 0 90 t
-46.08 127.60 (5) .5 0 90 t
-46.08 190.14 (10) .5 0 90 t
-46.08 252.68 (15) .5 0 90 t
-0.00 0.00 450.00 288.00 cl
-/ps 14 def B 14 s
-0 0 0 rgb
-246.60 268.87 (Income as a Function of Years of Eduction) .5 0 0 t
-/ps 12 def R 12 s
-246.60 17.28 (Education in Years) .5 0 0 t
-25.92 158.40 (Income in $10,000s) .5 0 90 t
-0.00 0.00 450.00 288.00 cl
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-57.60 57.60 m
-378.00 0 l
-0 201.60 l
--378.00 0 l
-0 -201.60 l
-o
-ep
-%%Trailer
-%%Pages: 1
-%%EOF
diff --git a/inst/doc/figs/sample1.pdf b/inst/doc/figs/sample1.pdf
deleted file mode 100644
index 0d10f6d..0000000
--- a/inst/doc/figs/sample1.pdf
+++ /dev/null
@@ -1,568 +0,0 @@
-%PDF-1.1
-%���ρ�
-1 0 obj
-<<
-/CreationDate (D:20040826173731)
-/ModDate (D:20040826173731)
-/Title (R Graphics Output)
-/Producer (R 1.9.1)
-/Creator (R)
->>
-endobj
-2 0 obj
-<<
-/Type /Catalog
-/Pages 3 0 R
->>
-endobj
-4 0 obj
-<<
-/ProcSet [/PDF /Text]
-/Font << /F1 6 0 R /F2 7 0 R /F3 8 0 R /F4 9 0 R /F5 10 0 R /F6 11 0 R >>
->>
-endobj
-5 0 obj
-<<
-/Type /Encoding
-/BaseEncoding /PDFDocEncoding
-/Differences [ 45/minus 96/quoteleft
-144/dotlessi /grave /acute /circumflex /tilde /macron /breve /dotaccent
-/dieresis /.notdef /ring /cedilla /.notdef /hungarumlaut /ogonek /caron /space]
->>
-endobj
-6 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F1
-/BaseFont /Times-Roman
-/Encoding 5 0 R
->>
-endobj
-7 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F2
-/BaseFont /Times-Bold
-/Encoding 5 0 R
->>
-endobj
-8 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F3
-/BaseFont /Times-Italic
-/Encoding 5 0 R
->>
-endobj
-9 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F4
-/BaseFont /Times-BoldItalic
-/Encoding 5 0 R
->>
-endobj
-10 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F5
-/BaseFont /Symbol
->>
-endobj
-11 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F6
-/BaseFont /ZapfDingbats
->>
-endobj
-12 0 obj
-<<
-/Type /Page
-/Parent 3 0 R
-/Contents 13 0 R
-/Resources 4 0 R
->>
-endobj
-13 0 obj
-<<
-/Length 14 0 R
->>
-stream
-1 J 1 j 10 M q
-Q q 59.04 73.44 360.72 155.52 re W n
-0.745 0.745 0.745 rg
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-  74.07 81.76 m
-  87.43 81.76 l
-  87.43 96.30 l
-  74.07 96.30 l
-b
-74.07 86.87 m 87.43 86.87 l S
-0.75 w
-[ 3.00 5.00] 0 d
-80.75 81.37 m 80.75 81.76 l S
-80.75 102.23 m 80.75 96.30 l S
-0.75 w
-[] 0 d
-77.41 81.37 m 84.09 81.37 l S
-77.41 102.23 m 84.09 102.23 l S
-  90.77 90.42 m
-  104.13 90.42 l
-  104.13 99.77 l
-  90.77 99.77 l
-b
-90.77 92.29 m 104.13 92.29 l S
-0.75 w
-[ 3.00 5.00] 0 d
-97.45 88.55 m 97.45 90.42 l S
-97.45 107.25 m 97.45 99.77 l S
-0.75 w
-[] 0 d
-94.11 88.55 m 100.79 88.55 l S
-94.11 107.25 m 100.79 107.25 l S
-  107.47 81.51 m
-  120.83 81.51 l
-  120.83 85.75 l
-  107.47 85.75 l
-b
-107.47 81.64 m 120.83 81.64 l S
-0.75 w
-[ 3.00 5.00] 0 d
-114.15 81.37 m 114.15 81.51 l S
-114.15 89.86 m 114.15 85.75 l S
-0.75 w
-[] 0 d
-110.81 81.37 m 117.49 81.37 l S
-110.81 89.86 m 117.49 89.86 l S
-  124.17 93.19 m
-  137.53 93.19 l
-  137.53 93.19 l
-  124.17 93.19 l
-b
-124.17 93.19 m 137.53 93.19 l S
-0.75 w
-[ 3.00 5.00] 0 d
-130.85 93.19 m 130.85 93.19 l S
-130.85 93.19 m 130.85 93.19 l S
-0.75 w
-[] 0 d
-127.51 93.19 m 134.19 93.19 l S
-127.51 93.19 m 134.19 93.19 l S
-  140.87 87.31 m
-  154.23 87.31 l
-  154.23 103.63 l
-  140.87 103.63 l
-b
-140.87 91.93 m 154.23 91.93 l S
-0.75 w
-[ 3.00 5.00] 0 d
-147.55 81.37 m 147.55 87.31 l S
-147.55 118.47 m 147.55 103.63 l S
-0.75 w
-[] 0 d
-144.21 81.37 m 150.89 81.37 l S
-144.21 118.47 m 150.89 118.47 l S
-  157.57 86.53 m
-  170.93 86.53 l
-  170.93 100.52 l
-  157.57 100.52 l
-b
-157.57 91.41 m 170.93 91.41 l S
-0.75 w
-[ 3.00 5.00] 0 d
-164.25 81.64 m 164.25 86.53 l S
-164.25 115.84 m 164.25 100.52 l S
-0.75 w
-[] 0 d
-160.91 81.64 m 167.59 81.64 l S
-160.91 115.84 m 167.59 115.84 l S
-  174.27 86.24 m
-  187.63 86.24 l
-  187.63 97.11 l
-  174.27 97.11 l
-b
-174.27 88.21 m 187.63 88.21 l S
-0.75 w
-[ 3.00 5.00] 0 d
-180.95 80.69 m 180.95 86.24 l S
-180.95 107.25 m 180.95 97.11 l S
-0.75 w
-[] 0 d
-177.61 80.69 m 184.29 80.69 l S
-177.61 107.25 m 184.29 107.25 l S
-0.000 0.000 0.000 rg
-180.45 117.97 1.00 1.00 re f
-180.45 151.98 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  190.97 86.05 m
-  204.33 86.05 l
-  204.33 99.38 l
-  190.97 99.38 l
-b
-190.97 92.29 m 204.33 92.29 l S
-0.75 w
-[ 3.00 5.00] 0 d
-197.65 80.87 m 197.65 86.05 l S
-197.65 107.37 m 197.65 99.38 l S
-0.75 w
-[] 0 d
-194.31 80.87 m 200.99 80.87 l S
-194.31 107.37 m 200.99 107.37 l S
-0.000 0.000 0.000 rg
-197.15 120.92 1.00 1.00 re f
-197.15 130.79 1.00 1.00 re f
-197.15 143.34 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  207.67 86.53 m
-  221.03 86.53 l
-  221.03 101.19 l
-  207.67 101.19 l
-b
-207.67 92.14 m 221.03 92.14 l S
-0.75 w
-[ 3.00 5.00] 0 d
-214.35 81.48 m 214.35 86.53 l S
-214.35 112.18 m 214.35 101.19 l S
-0.75 w
-[] 0 d
-211.01 81.48 m 217.69 81.48 l S
-211.01 112.18 m 217.69 112.18 l S
-0.000 0.000 0.000 rg
-213.85 129.19 1.00 1.00 re f
-213.85 139.78 1.00 1.00 re f
-213.85 143.34 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  224.37 90.62 m
-  237.73 90.62 l
-  237.73 111.14 l
-  224.37 111.14 l
-b
-224.37 98.52 m 237.73 98.52 l S
-0.75 w
-[ 3.00 5.00] 0 d
-231.05 81.20 m 231.05 90.62 l S
-231.05 140.28 m 231.05 111.14 l S
-0.75 w
-[] 0 d
-227.71 81.20 m 234.39 81.20 l S
-227.71 140.28 m 234.39 140.28 l S
-0.000 0.000 0.000 rg
-230.55 163.14 1.00 1.00 re f
-230.55 146.27 1.00 1.00 re f
-230.55 193.46 1.00 1.00 re f
-230.55 144.15 1.00 1.00 re f
-230.55 142.67 1.00 1.00 re f
-230.55 163.17 1.00 1.00 re f
-230.55 198.40 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  241.07 89.34 m
-  254.43 89.34 l
-  254.43 114.07 l
-  241.07 114.07 l
-b
-241.07 97.11 m 254.43 97.11 l S
-0.75 w
-[ 3.00 5.00] 0 d
-247.75 81.37 m 247.75 89.34 l S
-247.75 144.65 m 247.75 114.07 l S
-0.75 w
-[] 0 d
-244.41 81.37 m 251.09 81.37 l S
-244.41 144.65 m 251.09 144.65 l S
-0.000 0.000 0.000 rg
-247.25 167.38 1.00 1.00 re f
-247.25 190.91 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  257.77 91.64 m
-  271.13 91.64 l
-  271.13 112.01 l
-  257.77 112.01 l
-b
-257.77 101.19 m 271.13 101.19 l S
-0.75 w
-[ 3.00 5.00] 0 d
-264.45 79.20 m 264.45 91.64 l S
-264.45 140.28 m 264.45 112.01 l S
-0.75 w
-[] 0 d
-261.11 79.20 m 267.79 79.20 l S
-261.11 140.28 m 267.79 140.28 l S
-0.000 0.000 0.000 rg
-263.95 168.63 1.00 1.00 re f
-263.95 154.87 1.00 1.00 re f
-263.95 198.40 1.00 1.00 re f
-263.95 188.61 1.00 1.00 re f
-263.95 167.38 1.00 1.00 re f
-263.95 146.27 1.00 1.00 re f
-263.95 162.35 1.00 1.00 re f
-263.95 146.27 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  274.47 92.29 m
-  287.83 92.29 l
-  287.83 113.29 l
-  274.47 113.29 l
-b
-274.47 102.23 m 287.83 102.23 l S
-0.75 w
-[ 3.00 5.00] 0 d
-281.15 81.48 m 281.15 92.29 l S
-281.15 143.17 m 281.15 113.29 l S
-0.75 w
-[] 0 d
-277.81 81.48 m 284.49 81.48 l S
-277.81 143.17 m 284.49 143.17 l S
-0.000 0.000 0.000 rg
-280.65 146.27 1.00 1.00 re f
-280.65 151.98 1.00 1.00 re f
-280.65 145.75 1.00 1.00 re f
-280.65 151.98 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  291.17 99.77 m
-  304.53 99.77 l
-  304.53 129.28 l
-  291.17 129.28 l
-b
-291.17 113.74 m 304.53 113.74 l S
-0.75 w
-[ 3.00 5.00] 0 d
-297.85 80.69 m 297.85 99.77 l S
-297.85 170.89 m 297.85 129.28 l S
-0.75 w
-[] 0 d
-294.51 80.69 m 301.19 80.69 l S
-294.51 170.89 m 301.19 170.89 l S
-0.000 0.000 0.000 rg
-297.35 187.06 1.00 1.00 re f
-297.35 207.06 1.00 1.00 re f
-297.35 190.91 1.00 1.00 re f
-297.35 181.36 1.00 1.00 re f
-297.35 193.43 1.00 1.00 re f
-297.35 210.60 1.00 1.00 re f
-297.35 193.46 1.00 1.00 re f
-297.35 222.70 1.00 1.00 re f
-297.35 193.46 1.00 1.00 re f
-297.35 181.36 1.00 1.00 re f
-297.35 187.10 1.00 1.00 re f
-297.35 222.70 1.00 1.00 re f
-297.35 187.10 1.00 1.00 re f
-297.35 198.40 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  307.87 99.02 m
-  321.23 99.02 l
-  321.23 129.28 l
-  307.87 129.28 l
-b
-307.87 114.94 m 321.23 114.94 l S
-0.75 w
-[ 3.00 5.00] 0 d
-314.55 81.20 m 314.55 99.02 l S
-314.55 170.89 m 314.55 129.28 l S
-0.75 w
-[] 0 d
-311.21 81.20 m 317.89 81.20 l S
-311.21 170.89 m 317.89 170.89 l S
-0.000 0.000 0.000 rg
-314.05 175.55 1.00 1.00 re f
-314.05 187.10 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  324.57 102.54 m
-  337.93 102.54 l
-  337.93 137.96 l
-  324.57 137.96 l
-b
-324.57 120.55 m 337.93 120.55 l S
-0.75 w
-[ 3.00 5.00] 0 d
-331.25 81.48 m 331.25 102.54 l S
-331.25 187.60 m 331.25 137.96 l S
-0.75 w
-[] 0 d
-327.91 81.48 m 334.59 81.48 l S
-327.91 187.60 m 334.59 187.60 l S
-0.000 0.000 0.000 rg
-330.75 204.17 1.00 1.00 re f
-330.75 193.43 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  341.27 109.00 m
-  354.63 109.00 l
-  354.63 146.25 l
-  341.27 146.25 l
-b
-341.27 126.38 m 354.63 126.38 l S
-0.75 w
-[ 3.00 5.00] 0 d
-347.95 80.69 m 347.95 109.00 l S
-347.95 187.56 m 347.95 146.25 l S
-0.75 w
-[] 0 d
-344.61 80.69 m 351.29 80.69 l S
-344.61 187.56 m 351.29 187.56 l S
-0.000 0.000 0.000 rg
-347.45 210.60 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  357.97 106.85 m
-  371.33 106.85 l
-  371.33 146.77 l
-  357.97 146.77 l
-b
-357.97 126.43 m 371.33 126.43 l S
-0.75 w
-[ 3.00 5.00] 0 d
-364.65 79.20 m 364.65 106.85 l S
-364.65 204.67 m 364.65 146.77 l S
-0.75 w
-[] 0 d
-361.31 79.20 m 367.99 79.20 l S
-361.31 204.67 m 367.99 204.67 l S
-0.000 0.000 0.000 rg
-364.15 207.06 1.00 1.00 re f
-0.745 0.745 0.745 rg
-  374.67 115.58 m
-  388.03 115.58 l
-  388.03 170.89 l
-  374.67 170.89 l
-b
-374.67 129.28 m 388.03 129.28 l S
-0.75 w
-[ 3.00 5.00] 0 d
-381.35 85.16 m 381.35 115.58 l S
-381.35 207.56 m 381.35 170.89 l S
-0.75 w
-[] 0 d
-378.01 85.16 m 384.69 85.16 l S
-378.01 207.56 m 384.69 207.56 l S
-  391.37 119.51 m
-  404.73 119.51 l
-  404.73 187.58 l
-  391.37 187.58 l
-b
-391.37 137.96 m 404.73 137.96 l S
-0.75 w
-[ 3.00 5.00] 0 d
-398.05 82.01 m 398.05 119.51 l S
-398.05 223.20 m 398.05 187.58 l S
-0.75 w
-[] 0 d
-394.71 82.01 m 401.39 82.01 l S
-394.71 223.20 m 401.39 223.20 l S
-Q q
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-80.75 73.44 m 398.05 73.44 l S
-80.75 73.44 m 80.75 66.24 l S
-97.45 73.44 m 97.45 66.24 l S
-114.15 73.44 m 114.15 66.24 l S
-130.85 73.44 m 130.85 66.24 l S
-147.55 73.44 m 147.55 66.24 l S
-164.25 73.44 m 164.25 66.24 l S
-180.95 73.44 m 180.95 66.24 l S
-197.65 73.44 m 197.65 66.24 l S
-214.35 73.44 m 214.35 66.24 l S
-231.05 73.44 m 231.05 66.24 l S
-247.75 73.44 m 247.75 66.24 l S
-264.45 73.44 m 264.45 66.24 l S
-281.15 73.44 m 281.15 66.24 l S
-297.85 73.44 m 297.85 66.24 l S
-314.55 73.44 m 314.55 66.24 l S
-331.25 73.44 m 331.25 66.24 l S
-347.95 73.44 m 347.95 66.24 l S
-364.65 73.44 m 364.65 66.24 l S
-381.35 73.44 m 381.35 66.24 l S
-398.05 73.44 m 398.05 66.24 l S
-BT
-0.000 0.000 0.000 rg
-/F1 1 Tf 12.00 0.00 -0.00 12.00 77.75 47.52 Tm (0) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 111.15 47.52 Tm (1) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 127.85 47.52 Tm (2) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 144.55 47.52 Tm (3) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 161.25 47.52 Tm (4) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 177.95 47.52 Tm (5) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 194.65 47.52 Tm (6) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 211.35 47.52 Tm (7) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 228.05 47.52 Tm (8) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 244.75 47.52 Tm (9) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 275.15 47.52 Tm (11) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 308.55 47.52 Tm (13) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 341.95 47.52 Tm (15) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 375.35 47.52 Tm (17) Tj
-ET
-59.04 79.20 m 59.04 223.93 l S
-59.04 79.20 m 51.84 79.20 l S
-59.04 127.44 m 51.84 127.44 l S
-59.04 175.68 m 51.84 175.68 l S
-59.04 223.93 m 51.84 223.93 l S
-BT
-/F1 1 Tf 0.00 12.00 -12.00 0.00 41.76 76.20 Tm (0) Tj
-/F1 1 Tf 0.00 12.00 -12.00 0.00 41.76 124.44 Tm (5) Tj
-/F1 1 Tf 0.00 12.00 -12.00 0.00 41.76 169.68 Tm (10) Tj
-/F1 1 Tf 0.00 12.00 -12.00 0.00 41.76 217.93 Tm (15) Tj
-ET
-Q q
-BT
-0.000 0.000 0.000 rg
-/F2 1 Tf 14.00 0.00 -0.00 14.00 113.20 253.75 Tm (Income as a Function of Years of Eduction) Tj
-/F1 1 Tf 12.00 0.00 -0.00 12.00 194.55 18.72 Tm (Education in Years) Tj
-/F1 1 Tf 0.00 12.00 -12.00 0.00 12.96 103.70 Tm (Income in $10,000s) Tj
-ET
-Q q
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-59.04 73.44 m
-419.76 73.44 l
-419.76 228.96 l
-59.04 228.96 l
-59.04 73.44 l
-S
-Q
-endstream
-endobj
-14 0 obj
-9777
-endobj
-3 0 obj
-<<
-/Type /Pages
-/Kids [
-12 0 R
-]
-/Count 1
-/MediaBox [0 0 450 288]
->>
-endobj
-xref
-0 15
-0000000000 65535 f 
-0000000020 00000 n 
-0000000162 00000 n 
-0000011078 00000 n 
-0000000211 00000 n 
-0000000328 00000 n 
-0000000584 00000 n 
-0000000682 00000 n 
-0000000779 00000 n 
-0000000878 00000 n 
-0000000981 00000 n 
-0000001059 00000 n 
-0000001143 00000 n 
-0000001225 00000 n 
-0000011057 00000 n 
-trailer
-<<
-/Size 15
-/Info 1 0 R
-/Root 2 0 R
->>
-startxref
-11162
-%%EOF
diff --git a/inst/doc/figs/sample2.eps b/inst/doc/figs/sample2.eps
deleted file mode 100644
index c731ab1..0000000
--- a/inst/doc/figs/sample2.eps
+++ /dev/null
@@ -1,695 +0,0 @@
-%!PS-Adobe-3.0
-%%DocumentNeededResources: font Times-Roman
-%%+ font Times-Bold
-%%+ font Times-Italic
-%%+ font Times-BoldItalic
-%%+ font Symbol
-%%DocumentMedia: special 450 288 0 () ()
-%%Title: R Graphics Output
-%%Creator: R Software
-%%Pages: (atend)
-%%BoundingBox: 0 0 450 288
-%%EndComments
-%%BeginProlog
-/bp  { gs gs } def
-% begin .ps.prolog
-/gs  { gsave } def
-/gr  { grestore } def
-/ep  { showpage gr gr } def
-/m   { moveto } def
-/l  { rlineto } def
-/np  { newpath } def
-/cp  { closepath } def
-/f   { fill } def
-/o   { stroke } def
-/c   { newpath 0 360 arc } def
-/r   { 4 2 roll moveto 1 copy 3 -1 roll exch 0 exch rlineto 0 rlineto -1 mul 0 exch rlineto closepath } def
-/p1  { stroke } def
-/p2  { gsave bg setrgbcolor fill grestore newpath } def
-/p3  { gsave bg setrgbcolor fill grestore stroke } def
-/t   { 6 -2 roll moveto gsave rotate
-       ps mul neg 0 2 1 roll rmoveto
-       1 index stringwidth pop
-       mul neg 0 rmoveto show grestore } def
-/cl  { grestore gsave newpath 3 index 3 index moveto 1 index
-       4 -1 roll lineto  exch 1 index lineto lineto
-       closepath clip newpath } def
-/rgb { setrgbcolor } def
-/s   { scalefont setfont } def
-/R   { /Font1 findfont } def
-/B   { /Font2 findfont } def
-/I   { /Font3 findfont } def
-/BI  { /Font4 findfont } def
-/S   { /Font5 findfont } def
-1 setlinecap 1 setlinejoin
-% end   .ps.prolog
-%%IncludeResource: font Times-Roman
-/Times-Roman findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font1 exch definefont pop
-%%IncludeResource: font Times-Bold
-/Times-Bold findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font2 exch definefont pop
-%%IncludeResource: font Times-Italic
-/Times-Italic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font3 exch definefont pop
-%%IncludeResource: font Times-BoldItalic
-/Times-BoldItalic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font4 exch definefont pop
-%%IncludeResource: font Symbol
-/Symbol findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  currentdict
-  end
-/Font5 exch definefont pop
-%%EndProlog
-%%Page: 1 1
-bp
-0.00 0.00 450.00 288.00 cl
-/ps 12 def B 12 s
-0 0 0 rgb
-237.00 259.34 (Histogram of Income) .5 0 0 t
-/ps 10 def R 10 s
-237.00 15.60 (Annual Income in $10,000s) .5 0 0 t
-10.80 150.00 (Frequency) .5 0 90 t
-0.00 0.00 450.00 288.00 cl
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-63.11 61.20 m
-347.78 0 l
-o
-np
-63.11 61.20 m
-0 -6.00 l
-o
-np
-179.04 61.20 m
-0 -6.00 l
-o
-np
-294.96 61.20 m
-0 -6.00 l
-o
-np
-410.89 61.20 m
-0 -6.00 l
-o
-/ps 10 def R 10 s
-63.11 39.60 (0) .5 0 0 t
-179.04 39.60 (5) .5 0 0 t
-294.96 39.60 (10) .5 0 0 t
-410.89 39.60 (15) .5 0 0 t
-np
-49.20 67.78 m
-0 157.94 l
-o
-np
-49.20 67.78 m
--6.00 0 l
-o
-np
-49.20 99.37 m
--6.00 0 l
-o
-np
-49.20 130.95 m
--6.00 0 l
-o
-np
-49.20 162.54 m
--6.00 0 l
-o
-np
-49.20 194.13 m
--6.00 0 l
-o
-np
-49.20 225.72 m
--6.00 0 l
-o
-34.80 67.78 (0) .5 0 90 t
-34.80 99.37 (500) .5 0 90 t
-34.80 130.95 (1000) .5 0 90 t
-34.80 162.54 (1500) .5 0 90 t
-34.80 194.13 (2000) .5 0 90 t
-34.80 225.72 (2500) .5 0 90 t
-49.20 61.20 424.80 238.80 cl
-/bg { 1 0.9059 0.7294 } def
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-63.11 67.78 23.19 123.00 r p3
-86.30 67.78 23.19 163.62 r p3
-109.48 67.78 23.19 164.44 r p3
-132.67 67.78 23.19 134.18 r p3
-155.85 67.78 23.19 125.72 r p3
-179.04 67.78 23.19 77.52 r p3
-202.22 67.78 23.19 78.65 r p3
-225.41 67.78 23.19 36.01 r p3
-248.59 67.78 23.19 32.54 r p3
-271.78 67.78 23.19 16.74 r p3
-294.96 67.78 23.19 7.39 r p3
-318.15 67.78 23.19 24.26 r p3
-341.33 67.78 23.19 2.65 r p3
-364.52 67.78 23.19 10.36 r p3
-387.70 67.78 23.19 3.41 r p3
-np
-38.62 67.82 m
-0.77 0.01 l
-0.77 0.02 l
-0.77 0.03 l
-0.77 0.04 l
-0.77 0.05 l
-0.77 0.06 l
-0.77 0.08 l
-0.77 0.10 l
-0.77 0.13 l
-0.77 0.17 l
-0.77 0.21 l
-0.77 0.25 l
-0.77 0.31 l
-0.77 0.37 l
-0.77 0.45 l
-0.77 0.53 l
-0.77 0.64 l
-0.77 0.75 l
-0.77 0.86 l
-0.77 0.99 l
-0.77 1.12 l
-0.77 1.26 l
-0.77 1.41 l
-0.77 1.59 l
-0.77 1.75 l
-0.77 1.90 l
-0.77 2.05 l
-0.77 2.20 l
-0.77 2.34 l
-0.77 2.47 l
-0.77 2.61 l
-0.77 2.72 l
-0.77 2.81 l
-0.77 2.89 l
-0.77 2.95 l
-0.77 3.00 l
-0.77 3.04 l
-0.77 3.06 l
-0.77 3.06 l
-0.77 3.05 l
-0.77 3.03 l
-0.77 3.00 l
-0.77 2.96 l
-0.77 2.90 l
-0.77 2.83 l
-0.77 2.76 l
-0.77 2.68 l
-0.77 2.59 l
-0.77 2.50 l
-0.77 2.40 l
-0.77 2.30 l
-0.77 2.17 l
-0.77 2.05 l
-0.77 1.94 l
-0.77 1.82 l
-0.77 1.70 l
-0.77 1.58 l
-0.77 1.46 l
-0.77 1.33 l
-0.77 1.22 l
-0.77 1.11 l
-0.77 1.01 l
-0.77 0.91 l
-0.77 0.81 l
-0.77 0.72 l
-0.77 0.62 l
-0.77 0.54 l
-0.77 0.46 l
-0.77 0.38 l
-0.77 0.31 l
-0.77 0.24 l
-0.77 0.18 l
-0.77 0.11 l
-0.77 0.05 l
-0.77 -0.01 l
-0.77 -0.06 l
-0.77 -0.10 l
-0.77 -0.15 l
-0.77 -0.19 l
-0.77 -0.23 l
-0.77 -0.26 l
-0.77 -0.28 l
-0.77 -0.30 l
-0.77 -0.32 l
-0.77 -0.33 l
-0.77 -0.34 l
-0.77 -0.34 l
-0.77 -0.34 l
-0.77 -0.33 l
-0.77 -0.32 l
-0.77 -0.31 l
-0.77 -0.29 l
-0.77 -0.28 l
-0.77 -0.25 l
-0.77 -0.23 l
-0.77 -0.21 l
-0.77 -0.19 l
-0.77 -0.18 l
-0.77 -0.16 l
-0.77 -0.15 l
-0.77 -0.14 l
-0.77 -0.13 l
-0.77 -0.13 l
-0.77 -0.13 l
-0.77 -0.13 l
-0.77 -0.14 l
-0.77 -0.15 l
-0.77 -0.16 l
-0.77 -0.17 l
-0.77 -0.18 l
-0.77 -0.18 l
-0.77 -0.19 l
-0.77 -0.20 l
-0.77 -0.20 l
-0.77 -0.20 l
-0.77 -0.20 l
-0.77 -0.20 l
-0.77 -0.19 l
-0.77 -0.18 l
-0.77 -0.18 l
-0.77 -0.17 l
-0.77 -0.16 l
-0.77 -0.15 l
-0.77 -0.15 l
-0.77 -0.15 l
-0.77 -0.16 l
-0.77 -0.18 l
-0.77 -0.20 l
-0.77 -0.22 l
-0.77 -0.26 l
-0.77 -0.31 l
-0.77 -0.35 l
-0.77 -0.41 l
-0.77 -0.46 l
-0.77 -0.52 l
-0.77 -0.58 l
-0.77 -0.63 l
-0.77 -0.68 l
-0.77 -0.72 l
-0.77 -0.75 l
-0.77 -0.77 l
-0.77 -0.77 l
-0.77 -0.77 l
-0.77 -0.74 l
-0.77 -0.71 l
-0.77 -0.66 l
-0.77 -0.60 l
-0.77 -0.54 l
-0.77 -0.46 l
-0.77 -0.38 l
-0.77 -0.29 l
-0.77 -0.21 l
-0.77 -0.14 l
-0.77 -0.08 l
-0.77 -0.03 l
-0.77 0.01 l
-0.77 0.03 l
-0.77 0.02 l
-0.77 -0.00 l
-0.77 -0.04 l
-0.77 -0.10 l
-0.77 -0.17 l
-0.77 -0.26 l
-0.77 -0.35 l
-0.77 -0.47 l
-0.77 -0.58 l
-0.77 -0.67 l
-0.77 -0.77 l
-0.77 -0.85 l
-0.77 -0.93 l
-0.77 -0.99 l
-0.77 -1.04 l
-0.77 -1.07 l
-0.77 -1.08 l
-0.77 -1.09 l
-0.77 -1.09 l
-0.77 -1.08 l
-0.77 -1.06 l
-0.77 -1.05 l
-0.77 -1.04 l
-0.77 -1.03 l
-0.77 -1.03 l
-0.77 -1.03 l
-0.77 -1.05 l
-0.77 -1.07 l
-0.77 -1.10 l
-0.77 -1.13 l
-0.77 -1.16 l
-0.77 -1.18 l
-0.77 -1.21 l
-0.77 -1.22 l
-0.77 -1.23 l
-0.77 -1.22 l
-0.77 -1.19 l
-0.77 -1.14 l
-0.77 -1.09 l
-0.77 -1.01 l
-0.77 -0.92 l
-0.77 -0.82 l
-0.77 -0.69 l
-0.77 -0.56 l
-0.77 -0.44 l
-0.77 -0.31 l
-0.77 -0.18 l
-0.77 -0.05 l
-0.77 0.06 l
-0.77 0.19 l
-0.77 0.29 l
-0.77 0.37 l
-0.77 0.43 l
-0.77 0.49 l
-0.77 0.52 l
-0.77 0.55 l
-0.77 0.55 l
-0.77 0.54 l
-0.77 0.52 l
-0.77 0.49 l
-0.77 0.45 l
-0.77 0.40 l
-0.77 0.35 l
-0.77 0.28 l
-0.77 0.20 l
-0.77 0.13 l
-0.77 0.05 l
-0.77 -0.03 l
-0.77 -0.11 l
-0.77 -0.19 l
-0.77 -0.29 l
-0.77 -0.39 l
-0.77 -0.49 l
-0.77 -0.59 l
-0.77 -0.69 l
-0.77 -0.79 l
-0.77 -0.89 l
-0.77 -1.00 l
-0.77 -1.10 l
-0.77 -1.18 l
-0.77 -1.26 l
-0.77 -1.33 l
-0.77 -1.38 l
-0.77 -1.43 l
-0.77 -1.45 l
-0.77 -1.46 l
-0.77 -1.44 l
-0.77 -1.40 l
-0.77 -1.35 l
-0.77 -1.29 l
-0.77 -1.21 l
-0.77 -1.11 l
-0.77 -0.99 l
-0.77 -0.89 l
-0.77 -0.78 l
-0.77 -0.67 l
-0.77 -0.57 l
-0.77 -0.47 l
-0.77 -0.38 l
-0.77 -0.31 l
-0.77 -0.25 l
-0.77 -0.21 l
-0.77 -0.18 l
-0.77 -0.16 l
-0.77 -0.15 l
-0.77 -0.15 l
-0.77 -0.16 l
-0.77 -0.17 l
-0.77 -0.18 l
-0.77 -0.19 l
-0.77 -0.19 l
-0.77 -0.19 l
-0.77 -0.17 l
-0.77 -0.15 l
-0.77 -0.11 l
-0.77 -0.07 l
-0.77 -0.02 l
-0.77 0.04 l
-0.77 0.10 l
-0.77 0.17 l
-0.77 0.24 l
-0.77 0.31 l
-0.77 0.36 l
-0.77 0.41 l
-0.77 0.45 l
-0.77 0.48 l
-0.77 0.49 l
-0.77 0.49 l
-0.77 0.47 l
-0.77 0.44 l
-0.77 0.39 l
-0.77 0.33 l
-0.77 0.26 l
-0.77 0.18 l
-0.77 0.09 l
-0.77 0.01 l
-0.77 -0.08 l
-0.77 -0.16 l
-0.77 -0.24 l
-0.77 -0.31 l
-0.77 -0.37 l
-0.77 -0.44 l
-0.77 -0.48 l
-0.77 -0.52 l
-0.77 -0.55 l
-0.77 -0.57 l
-0.77 -0.58 l
-0.77 -0.60 l
-0.77 -0.60 l
-0.77 -0.61 l
-0.77 -0.61 l
-0.77 -0.61 l
-0.77 -0.61 l
-0.77 -0.62 l
-0.77 -0.62 l
-0.77 -0.62 l
-0.77 -0.62 l
-0.77 -0.62 l
-0.77 -0.62 l
-0.77 -0.61 l
-0.77 -0.60 l
-0.77 -0.59 l
-0.77 -0.57 l
-0.77 -0.55 l
-0.77 -0.53 l
-0.77 -0.50 l
-0.77 -0.47 l
-0.77 -0.44 l
-0.77 -0.41 l
-0.77 -0.37 l
-0.77 -0.34 l
-0.77 -0.31 l
-0.77 -0.28 l
-0.77 -0.25 l
-0.77 -0.22 l
-0.77 -0.20 l
-0.77 -0.18 l
-0.77 -0.16 l
-0.77 -0.14 l
-0.77 -0.13 l
-0.77 -0.12 l
-0.77 -0.10 l
-0.77 -0.09 l
-0.77 -0.08 l
-0.77 -0.06 l
-0.77 -0.05 l
-0.77 -0.03 l
-0.77 -0.01 l
-0.77 0.01 l
-0.77 0.03 l
-0.77 0.06 l
-0.77 0.08 l
-0.77 0.11 l
-0.77 0.14 l
-0.77 0.17 l
-0.77 0.20 l
-0.77 0.24 l
-0.77 0.27 l
-0.77 0.30 l
-0.77 0.33 l
-0.77 0.36 l
-0.77 0.38 l
-0.77 0.40 l
-0.77 0.42 l
-0.77 0.43 l
-0.77 0.43 l
-0.77 0.43 l
-0.77 0.42 l
-0.77 0.41 l
-0.77 0.39 l
-0.77 0.37 l
-0.77 0.34 l
-0.77 0.31 l
-0.77 0.28 l
-0.77 0.25 l
-0.77 0.22 l
-0.77 0.18 l
-0.77 0.15 l
-0.77 0.11 l
-0.77 0.07 l
-0.77 0.04 l
-0.77 0.01 l
-0.77 -0.03 l
-0.77 -0.06 l
-0.77 -0.10 l
-0.77 -0.13 l
-0.77 -0.17 l
-0.77 -0.20 l
-0.77 -0.23 l
-0.77 -0.27 l
-0.77 -0.30 l
-0.77 -0.33 l
-0.77 -0.36 l
-0.77 -0.38 l
-0.77 -0.40 l
-0.77 -0.41 l
-0.77 -0.42 l
-0.77 -0.43 l
-0.77 -0.43 l
-0.77 -0.43 l
-0.77 -0.41 l
-0.77 -0.40 l
-0.77 -0.38 l
-0.77 -0.36 l
-0.77 -0.33 l
-0.77 -0.30 l
-0.77 -0.27 l
-0.77 -0.23 l
-0.77 -0.19 l
-0.77 -0.16 l
-0.77 -0.12 l
-0.77 -0.09 l
-0.77 -0.06 l
-0.77 -0.02 l
-0.77 0.01 l
-0.77 0.04 l
-0.77 0.06 l
-0.77 0.09 l
-0.77 0.10 l
-0.77 0.12 l
-0.77 0.13 l
-0.77 0.14 l
-0.77 0.14 l
-0.77 0.14 l
-0.77 0.13 l
-0.77 0.12 l
-0.77 0.11 l
-0.77 0.09 l
-0.77 0.07 l
-0.77 0.05 l
-0.77 0.03 l
-0.77 0.01 l
-0.77 -0.02 l
-0.77 -0.04 l
-0.77 -0.07 l
-0.77 -0.09 l
-0.77 -0.11 l
-0.77 -0.13 l
-0.77 -0.15 l
-0.77 -0.17 l
-0.77 -0.19 l
-0.77 -0.20 l
-0.77 -0.22 l
-0.77 -0.23 l
-0.77 -0.24 l
-0.77 -0.24 l
-0.77 -0.24 l
-0.77 -0.25 l
-0.77 -0.24 l
-0.77 -0.24 l
-0.77 -0.23 l
-0.77 -0.22 l
-0.77 -0.21 l
-0.77 -0.20 l
-0.77 -0.19 l
-0.77 -0.17 l
-0.77 -0.15 l
-0.77 -0.13 l
-0.77 -0.11 l
-0.77 -0.09 l
-0.77 -0.07 l
-0.77 -0.05 l
-0.77 -0.02 l
-0.77 0.00 l
-0.77 0.02 l
-0.77 0.04 l
-0.77 0.06 l
-0.77 0.07 l
-0.77 0.09 l
-0.77 0.10 l
-0.77 0.11 l
-0.77 0.12 l
-0.77 0.12 l
-0.77 0.12 l
-0.77 0.12 l
-0.77 0.11 l
-0.77 0.10 l
-0.77 0.09 l
-0.77 0.07 l
-0.77 0.06 l
-0.77 0.04 l
-0.77 0.02 l
-0.77 -0.00 l
-0.77 -0.02 l
-0.77 -0.05 l
-0.77 -0.07 l
-0.77 -0.08 l
-0.77 -0.10 l
-0.77 -0.11 l
-0.77 -0.12 l
-0.77 -0.13 l
-0.77 -0.14 l
-0.77 -0.14 l
-0.77 -0.14 l
-0.77 -0.14 l
-0.77 -0.13 l
-0.77 -0.13 l
-0.77 -0.12 l
-0.77 -0.11 l
-0.77 -0.10 l
-0.77 -0.09 l
-0.77 -0.08 l
-0.77 -0.07 l
-0.77 -0.06 l
-0.77 -0.05 l
-0.77 -0.05 l
-0.77 -0.04 l
-0.77 -0.03 l
-0.77 -0.03 l
-0.77 -0.02 l
-0.77 -0.02 l
-0.77 -0.01 l
-0.77 -0.01 l
-0.77 -0.01 l
-o
-ep
-%%Trailer
-%%Pages: 1
-%%EOF
diff --git a/inst/doc/figs/sample2.pdf b/inst/doc/figs/sample2.pdf
deleted file mode 100644
index eab018f..0000000
--- a/inst/doc/figs/sample2.pdf
+++ /dev/null
@@ -1,709 +0,0 @@
-%PDF-1.1
-%���ρ�
-1 0 obj
-<<
-/CreationDate (D:20031212121649)
-/ModDate (D:20031212121649)
-/Title ()
-/Producer (R 1.8.1)
-/Creator (R)
->>
-endobj
-2 0 obj
-<<
-/Type /Catalog
-/Pages 3 0 R
->>
-endobj
-4 0 obj
-<<
-/ProcSet [/PDF /Text]
-/Font << /F1 6 0 R /F2 7 0 R /F3 8 0 R /F4 9 0 R /F5 10 0 R /F6 11 0 R >>
->>
-endobj
-5 0 obj
-<<
-/Type /Encoding
-/BaseEncoding /PDFDocEncoding
-/Differences [ 45/minus 96/quoteleft
-144/dotlessi /grave /acute /circumflex /tilde /macron /breve /dotaccent
-/dieresis /.notdef /ring /cedilla /.notdef /hungarumlaut /ogonek /caron /space]
->>
-endobj
-6 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F1
-/BaseFont /Times-Roman
-/Encoding 5 0 R
->>
-endobj
-7 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F2
-/BaseFont /Times-Bold
-/Encoding 5 0 R
->>
-endobj
-8 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F3
-/BaseFont /Times-Italic
-/Encoding 5 0 R
->>
-endobj
-9 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F4
-/BaseFont /Times-BoldItalic
-/Encoding 5 0 R
->>
-endobj
-10 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F5
-/BaseFont /Symbol
->>
-endobj
-11 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F6
-/BaseFont /ZapfDingbats
->>
-endobj
-12 0 obj
-<<
-/Type /Page
-/Parent 3 0 R
-/Contents 13 0 R
-/Resources 4 0 R
->>
-endobj
-13 0 obj
-<<
-/Length 14 0 R
->>
-stream
-1 J 1 j 10 M q
-Q q
-BT
-0.000 0.000 0.000 rg
-/F2 1 Tf 12.00 0.00 -0.00 12.00 119.68 223.34 Tm (Histogram of Income) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 118.45 15.60 Tm (Annual Income in $10,000s) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 10.80 110.97 Tm (Frequency) Tj
-ET
-Q q
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-58.44 61.20 m 289.56 61.20 l S
-58.44 61.20 m 58.44 55.20 l S
-135.48 61.20 m 135.48 55.20 l S
-212.52 61.20 m 212.52 55.20 l S
-289.56 61.20 m 289.56 55.20 l S
-BT
-0.000 0.000 0.000 rg
-/F1 1 Tf 10.00 0.00 -0.00 10.00 55.94 39.60 Tm (0) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 132.98 39.60 Tm (5) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 207.52 39.60 Tm (10) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 284.56 39.60 Tm (15) Tj
-ET
-49.20 66.44 m 49.20 192.37 l S
-49.20 66.44 m 43.20 66.44 l S
-49.20 91.63 m 43.20 91.63 l S
-49.20 116.81 m 43.20 116.81 l S
-49.20 142.00 m 43.20 142.00 l S
-49.20 167.18 m 43.20 167.18 l S
-49.20 192.37 m 43.20 192.37 l S
-BT
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 63.94 Tm (0) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 84.13 Tm (500) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 132.00 Tm (1500) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 182.37 Tm (2500) Tj
-ET
-Q q 49.20 61.20 249.60 141.60 re W n
-1.000 0.906 0.729 rg
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-58.44 66.44 15.41 98.07 re B
-73.85 66.44 15.41 130.46 re B
-89.26 66.44 15.41 131.11 re B
-104.67 66.44 15.41 106.98 re B
-120.07 66.44 15.41 100.23 re B
-135.48 66.44 15.41 61.80 re B
-150.89 66.44 15.41 62.71 re B
-166.30 66.44 15.41 28.71 re B
-181.70 66.44 15.41 25.94 re B
-197.11 66.44 15.41 13.35 re B
-212.52 66.44 15.41 5.89 re B
-227.93 66.44 15.41 19.34 re B
-243.33 66.44 15.41 2.12 re B
-258.74 66.44 15.41 8.26 re B
-274.15 66.44 15.41 2.72 re B
-42.17 66.47 m
-42.68 66.49 l
-43.20 66.50 l
-43.71 66.52 l
-44.22 66.55 l
-44.74 66.59 l
-45.25 66.64 l
-45.77 66.70 l
-46.28 66.78 l
-46.79 66.89 l
-47.31 67.02 l
-47.82 67.18 l
-48.33 67.38 l
-48.85 67.63 l
-49.36 67.93 l
-49.88 68.28 l
-50.39 68.71 l
-50.90 69.22 l
-51.42 69.81 l
-51.93 70.50 l
-52.44 71.29 l
-52.96 72.19 l
-53.47 73.19 l
-53.98 74.32 l
-54.50 75.59 l
-55.01 76.98 l
-55.53 78.50 l
-56.04 80.13 l
-56.55 81.88 l
-57.07 83.75 l
-57.58 85.72 l
-58.09 87.80 l
-58.61 89.97 l
-59.12 92.21 l
-59.64 94.52 l
-60.15 96.87 l
-60.66 99.26 l
-61.18 101.68 l
-61.69 104.12 l
-62.20 106.56 l
-62.72 108.99 l
-63.23 111.41 l
-63.75 113.80 l
-64.26 116.15 l
-64.77 118.47 l
-65.29 120.73 l
-65.80 122.93 l
-66.31 125.06 l
-66.83 127.13 l
-67.34 129.12 l
-67.85 131.04 l
-68.37 132.87 l
-68.88 134.60 l
-69.40 136.24 l
-69.91 137.78 l
-70.42 139.23 l
-70.94 140.58 l
-71.45 141.85 l
-71.96 143.01 l
-72.48 144.07 l
-72.99 145.05 l
-73.51 145.93 l
-74.02 146.73 l
-74.53 147.46 l
-75.05 148.11 l
-75.56 148.68 l
-76.07 149.18 l
-76.59 149.60 l
-77.10 149.97 l
-77.62 150.27 l
-78.13 150.52 l
-78.64 150.71 l
-79.16 150.85 l
-79.67 150.94 l
-80.18 150.98 l
-80.70 150.97 l
-81.21 150.92 l
-81.72 150.84 l
-82.24 150.72 l
-82.75 150.57 l
-83.27 150.39 l
-83.78 150.19 l
-84.29 149.96 l
-84.81 149.72 l
-85.32 149.46 l
-85.83 149.20 l
-86.35 148.93 l
-86.86 148.65 l
-87.38 148.38 l
-87.89 148.12 l
-88.40 147.86 l
-88.92 147.61 l
-89.43 147.38 l
-89.94 147.16 l
-90.46 146.95 l
-90.97 146.77 l
-91.48 146.60 l
-92.00 146.45 l
-92.51 146.31 l
-93.03 146.18 l
-93.54 146.06 l
-94.05 145.95 l
-94.57 145.84 l
-95.08 145.74 l
-95.59 145.64 l
-96.11 145.53 l
-96.62 145.42 l
-97.14 145.30 l
-97.65 145.18 l
-98.16 145.04 l
-98.68 144.90 l
-99.19 144.76 l
-99.70 144.60 l
-100.22 144.45 l
-100.73 144.28 l
-101.25 144.12 l
-101.76 143.96 l
-102.27 143.81 l
-102.79 143.65 l
-103.30 143.51 l
-103.81 143.37 l
-104.33 143.23 l
-104.84 143.11 l
-105.35 142.99 l
-105.87 142.87 l
-106.38 142.74 l
-106.90 142.61 l
-107.41 142.48 l
-107.92 142.32 l
-108.44 142.14 l
-108.95 141.93 l
-109.46 141.69 l
-109.98 141.40 l
-110.49 141.08 l
-111.01 140.71 l
-111.52 140.30 l
-112.03 139.84 l
-112.55 139.33 l
-113.06 138.79 l
-113.57 138.22 l
-114.09 137.62 l
-114.60 137.01 l
-115.12 136.40 l
-115.63 135.78 l
-116.14 135.19 l
-116.66 134.63 l
-117.17 134.10 l
-117.68 133.62 l
-118.20 133.19 l
-118.71 132.83 l
-119.22 132.52 l
-119.74 132.29 l
-120.25 132.12 l
-120.77 132.01 l
-121.28 131.95 l
-121.79 131.92 l
-122.31 131.93 l
-122.82 131.95 l
-123.33 131.97 l
-123.85 131.97 l
-124.36 131.93 l
-124.88 131.85 l
-125.39 131.71 l
-125.90 131.51 l
-126.42 131.23 l
-126.93 130.85 l
-127.44 130.39 l
-127.96 129.85 l
-128.47 129.24 l
-128.98 128.56 l
-129.50 127.82 l
-130.01 127.03 l
-130.53 126.20 l
-131.04 125.35 l
-131.55 124.49 l
-132.07 123.62 l
-132.58 122.75 l
-133.09 121.89 l
-133.61 121.04 l
-134.12 120.21 l
-134.64 119.38 l
-135.15 118.56 l
-135.66 117.74 l
-136.18 116.92 l
-136.69 116.09 l
-137.20 115.24 l
-137.72 114.36 l
-138.23 113.46 l
-138.75 112.54 l
-139.26 111.60 l
-139.77 110.64 l
-140.29 109.67 l
-140.80 108.69 l
-141.31 107.72 l
-141.83 106.77 l
-142.34 105.86 l
-142.85 104.99 l
-143.37 104.19 l
-143.88 103.45 l
-144.40 102.79 l
-144.91 102.24 l
-145.42 101.79 l
-145.94 101.44 l
-146.45 101.20 l
-146.96 101.06 l
-147.48 101.02 l
-147.99 101.07 l
-148.51 101.22 l
-149.02 101.45 l
-149.53 101.74 l
-150.05 102.08 l
-150.56 102.47 l
-151.07 102.89 l
-151.59 103.32 l
-152.10 103.76 l
-152.62 104.20 l
-153.13 104.61 l
-153.64 105.01 l
-154.16 105.37 l
-154.67 105.69 l
-155.18 105.96 l
-155.70 106.18 l
-156.21 106.34 l
-156.72 106.45 l
-157.24 106.49 l
-157.75 106.47 l
-158.27 106.39 l
-158.78 106.23 l
-159.29 106.00 l
-159.81 105.68 l
-160.32 105.29 l
-160.83 104.83 l
-161.35 104.28 l
-161.86 103.65 l
-162.38 102.94 l
-162.89 102.15 l
-163.40 101.27 l
-163.92 100.33 l
-164.43 99.32 l
-164.94 98.26 l
-165.46 97.16 l
-165.97 96.02 l
-166.48 94.87 l
-167.00 93.71 l
-167.51 92.56 l
-168.03 91.44 l
-168.54 90.36 l
-169.05 89.33 l
-169.57 88.37 l
-170.08 87.49 l
-170.59 86.70 l
-171.11 85.99 l
-171.62 85.37 l
-172.14 84.83 l
-172.65 84.38 l
-173.16 84.00 l
-173.68 83.69 l
-174.19 83.45 l
-174.70 83.25 l
-175.22 83.09 l
-175.73 82.95 l
-176.25 82.82 l
-176.76 82.70 l
-177.27 82.58 l
-177.79 82.46 l
-178.30 82.32 l
-178.81 82.18 l
-179.33 82.03 l
-179.84 81.88 l
-180.35 81.73 l
-180.87 81.59 l
-181.38 81.47 l
-181.90 81.38 l
-182.41 81.32 l
-182.92 81.31 l
-183.44 81.34 l
-183.95 81.42 l
-184.46 81.55 l
-184.98 81.75 l
-185.49 81.99 l
-186.01 82.28 l
-186.52 82.61 l
-187.03 82.97 l
-187.55 83.36 l
-188.06 83.75 l
-188.57 84.14 l
-189.09 84.52 l
-189.60 84.86 l
-190.12 85.17 l
-190.63 85.44 l
-191.14 85.65 l
-191.66 85.80 l
-192.17 85.87 l
-192.68 85.87 l
-193.20 85.81 l
-193.71 85.69 l
-194.22 85.50 l
-194.74 85.25 l
-195.25 84.96 l
-195.77 84.61 l
-196.28 84.22 l
-196.79 83.81 l
-197.31 83.38 l
-197.82 82.92 l
-198.33 82.46 l
-198.85 81.98 l
-199.36 81.50 l
-199.88 81.02 l
-200.39 80.53 l
-200.90 80.05 l
-201.42 79.56 l
-201.93 79.06 l
-202.44 78.57 l
-202.96 78.08 l
-203.47 77.58 l
-203.98 77.09 l
-204.50 76.60 l
-205.01 76.11 l
-205.53 75.63 l
-206.04 75.16 l
-206.55 74.71 l
-207.07 74.27 l
-207.58 73.85 l
-208.09 73.45 l
-208.61 73.07 l
-209.12 72.72 l
-209.64 72.39 l
-210.15 72.10 l
-210.66 71.83 l
-211.18 71.58 l
-211.69 71.36 l
-212.20 71.16 l
-212.72 70.98 l
-213.23 70.82 l
-213.75 70.68 l
-214.26 70.55 l
-214.77 70.44 l
-215.29 70.33 l
-215.80 70.24 l
-216.31 70.16 l
-216.83 70.09 l
-217.34 70.02 l
-217.85 69.98 l
-218.37 69.94 l
-218.88 69.91 l
-219.40 69.90 l
-219.91 69.91 l
-220.42 69.93 l
-220.94 69.97 l
-221.45 70.04 l
-221.96 70.13 l
-222.48 70.24 l
-222.99 70.38 l
-223.51 70.54 l
-224.02 70.73 l
-224.53 70.94 l
-225.05 71.19 l
-225.56 71.45 l
-226.07 71.74 l
-226.59 72.04 l
-227.10 72.36 l
-227.62 72.69 l
-228.13 73.03 l
-228.64 73.38 l
-229.16 73.72 l
-229.67 74.05 l
-230.18 74.38 l
-230.70 74.70 l
-231.21 74.99 l
-231.72 75.27 l
-232.24 75.52 l
-232.75 75.75 l
-233.27 75.94 l
-233.78 76.12 l
-234.29 76.26 l
-234.81 76.38 l
-235.32 76.47 l
-235.83 76.53 l
-236.35 76.56 l
-236.86 76.56 l
-237.38 76.54 l
-237.89 76.49 l
-238.40 76.41 l
-238.92 76.31 l
-239.43 76.17 l
-239.94 76.01 l
-240.46 75.83 l
-240.97 75.61 l
-241.48 75.38 l
-242.00 75.11 l
-242.51 74.83 l
-243.03 74.53 l
-243.54 74.21 l
-244.05 73.88 l
-244.57 73.54 l
-245.08 73.20 l
-245.59 72.85 l
-246.11 72.51 l
-246.62 72.18 l
-247.14 71.87 l
-247.65 71.56 l
-248.16 71.28 l
-248.68 71.02 l
-249.19 70.78 l
-249.70 70.56 l
-250.22 70.38 l
-250.73 70.23 l
-251.25 70.10 l
-251.76 70.00 l
-252.27 69.93 l
-252.79 69.89 l
-253.30 69.87 l
-253.81 69.88 l
-254.33 69.91 l
-254.84 69.96 l
-255.35 70.03 l
-255.87 70.11 l
-256.38 70.21 l
-256.90 70.31 l
-257.41 70.42 l
-257.92 70.54 l
-258.44 70.65 l
-258.95 70.75 l
-259.46 70.85 l
-259.98 70.94 l
-260.49 71.01 l
-261.01 71.07 l
-261.52 71.12 l
-262.03 71.14 l
-262.55 71.15 l
-263.06 71.13 l
-263.57 71.10 l
-264.09 71.05 l
-264.60 70.98 l
-265.11 70.89 l
-265.63 70.78 l
-266.14 70.66 l
-266.66 70.52 l
-267.17 70.37 l
-267.68 70.20 l
-268.20 70.03 l
-268.71 69.85 l
-269.22 69.66 l
-269.74 69.47 l
-270.25 69.27 l
-270.77 69.08 l
-271.28 68.88 l
-271.79 68.69 l
-272.31 68.51 l
-272.82 68.33 l
-273.33 68.16 l
-273.85 68.00 l
-274.36 67.85 l
-274.88 67.72 l
-275.39 67.60 l
-275.90 67.49 l
-276.42 67.41 l
-276.93 67.34 l
-277.44 67.28 l
-277.96 67.25 l
-278.47 67.23 l
-278.98 67.23 l
-279.50 67.24 l
-280.01 67.27 l
-280.53 67.32 l
-281.04 67.38 l
-281.55 67.45 l
-282.07 67.53 l
-282.58 67.62 l
-283.09 67.71 l
-283.61 67.81 l
-284.12 67.91 l
-284.64 68.00 l
-285.15 68.09 l
-285.66 68.17 l
-286.18 68.24 l
-286.69 68.30 l
-287.20 68.35 l
-287.72 68.37 l
-288.23 68.39 l
-288.75 68.38 l
-289.26 68.36 l
-289.77 68.33 l
-290.29 68.27 l
-290.80 68.21 l
-291.31 68.13 l
-291.83 68.04 l
-292.34 67.94 l
-292.85 67.83 l
-293.37 67.72 l
-293.88 67.61 l
-294.40 67.50 l
-294.91 67.39 l
-295.42 67.29 l
-295.94 67.19 l
-296.45 67.09 l
-296.96 67.01 l
-297.48 66.93 l
-297.99 66.86 l
-298.51 66.79 l
-299.02 66.73 l
-299.53 66.68 l
-300.05 66.64 l
-300.56 66.60 l
-301.07 66.57 l
-301.59 66.55 l
-302.10 66.53 l
-302.61 66.51 l
-303.13 66.49 l
-303.64 66.48 l
-304.16 66.47 l
-304.67 66.47 l
-S
-Q
-endstream
-endobj
-14 0 obj
-9469
-endobj
-3 0 obj
-<<
-/Type /Pages
-/Kids [
-12 0 R
-]
-/Count 1
-/MediaBox [0 0 324 252]
->>
-endobj
-xref
-0 15
-0000000000 65535 f 
-0000000020 00000 n 
-0000000145 00000 n 
-0000010753 00000 n 
-0000000194 00000 n 
-0000000311 00000 n 
-0000000567 00000 n 
-0000000665 00000 n 
-0000000762 00000 n 
-0000000861 00000 n 
-0000000964 00000 n 
-0000001042 00000 n 
-0000001126 00000 n 
-0000001208 00000 n 
-0000010732 00000 n 
-trailer
-<<
-/Size 15
-/Info 1 0 R
-/Root 2 0 R
->>
-startxref
-10837
-%%EOF
diff --git a/inst/doc/figs/ternary.eps b/inst/doc/figs/ternary.eps
deleted file mode 100644
index 8473f4b..0000000
--- a/inst/doc/figs/ternary.eps
+++ /dev/null
@@ -1,2182 +0,0 @@
-%!PS-Adobe-3.0
-%%DocumentNeededResources: font Times-Roman
-%%+ font Times-Bold
-%%+ font Times-Italic
-%%+ font Times-BoldItalic
-%%+ font Symbol
-%%DocumentMedia: special 288 288 0 () ()
-%%Title: R Graphics Output
-%%Creator: R Software
-%%Pages: (atend)
-%%BoundingBox: 0 0 288 288
-%%EndComments
-%%BeginProlog
-/bp  { gs gs } def
-% begin .ps.prolog
-/gs  { gsave } def
-/gr  { grestore } def
-/ep  { showpage gr gr } def
-/m   { moveto } def
-/l  { rlineto } def
-/np  { newpath } def
-/cp  { closepath } def
-/f   { fill } def
-/o   { stroke } def
-/c   { newpath 0 360 arc } def
-/r   { 4 2 roll moveto 1 copy 3 -1 roll exch 0 exch rlineto 0 rlineto -1 mul 0 exch rlineto closepath } def
-/p1  { stroke } def
-/p2  { gsave bg setrgbcolor fill grestore newpath } def
-/p3  { gsave bg setrgbcolor fill grestore stroke } def
-/t   { 6 -2 roll moveto gsave rotate
-       ps mul neg 0 2 1 roll rmoveto
-       1 index stringwidth pop
-       mul neg 0 rmoveto show grestore } def
-/cl  { grestore gsave newpath 3 index 3 index moveto 1 index
-       4 -1 roll lineto  exch 1 index lineto lineto
-       closepath clip newpath } def
-/rgb { setrgbcolor } def
-/s   { scalefont setfont } def
-/R   { /Font1 findfont } def
-/B   { /Font2 findfont } def
-/I   { /Font3 findfont } def
-/BI  { /Font4 findfont } def
-/S   { /Font5 findfont } def
-1 setlinecap 1 setlinejoin
-% end   .ps.prolog
-%%IncludeResource: font Times-Roman
-/Times-Roman findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font1 exch definefont pop
-%%IncludeResource: font Times-Bold
-/Times-Bold findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font2 exch definefont pop
-%%IncludeResource: font Times-Italic
-/Times-Italic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font3 exch definefont pop
-%%IncludeResource: font Times-BoldItalic
-/Times-BoldItalic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font4 exch definefont pop
-%%IncludeResource: font Symbol
-/Symbol findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  currentdict
-  end
-/Font5 exch definefont pop
-%%EndProlog
-%%Page: 1 1
-bp
-0.00 0.00 288.00 288.00 cl
-/bg { 1 1 1 } def
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
- 37.77 48.76 m
-106.23 184.00 l
-106.23 -184.00 l
-cp p3
-/ps 12 def B 12 s
-144.00 278.40 (1988 Mexican Presidential Election ) .5 0 0 t
-144.00 264.00 () .5 0 0 t
-/ps 10 def B 10 s
-31.39 19.80 (Pr\(Y=1\)) .5 0 0 t
-256.61 19.80 (Pr\(Y=2\)) .5 0 0 t
-144.00 254.52 (Pr\(Y=3\)) .5 0 0 t
-17.28 41.40 270.72 240.12 cl
-0.7451 0.7451 0.7451 rgb
-0.75 setlinewidth
-[ 0.00 4.00] 0 setdash
-np
-207.74 48.76 m
--84.99 147.20 l
-o
-np
-207.74 48.76 m
-21.25 36.80 l
-o
-np
-59.01 85.56 m
-169.98 0 l
-o
-/ps 10 def R 10 s
-0.6627 0.6627 0.6627 rgb
-165.99 124.02 (0.2) .5 0 120.00 t
-217.62 66.69 (0.8) .5 0 -120.00 t
-144.00 84.37 (0.2) .5 0 0 t
-0.7451 0.7451 0.7451 rgb
-np
-165.25 48.76 m
--63.74 110.40 l
-o
-np
-165.25 48.76 m
-42.49 73.60 l
-o
-np
-80.26 122.36 m
-127.48 0 l
-o
-0.6627 0.6627 0.6627 rgb
-134.12 105.62 (0.4) .5 0 120.00 t
-185.72 85.11 (0.6) .5 0 -120.00 t
-144.00 121.17 (0.4) .5 0 0 t
-0.7451 0.7451 0.7451 rgb
-np
-122.75 48.76 m
--42.49 73.60 l
-o
-np
-122.75 48.76 m
-63.74 110.40 l
-o
-np
-101.51 159.16 m
-84.98 0 l
-o
-0.6627 0.6627 0.6627 rgb
-102.28 87.24 (0.6) .5 0 120.00 t
-153.88 103.49 (0.4) .5 0 -120.00 t
-144.00 157.93 (0.6) .5 0 0 t
-0.7451 0.7451 0.7451 rgb
-np
-80.26 48.76 m
--21.25 36.80 l
-o
-np
-80.26 48.76 m
-84.99 147.20 l
-o
-np
-122.75 195.96 m
-42.50 0 l
-o
-0.6627 0.6627 0.6627 rgb
-70.38 68.81 (0.8) .5 0 120.00 t
-122.01 121.89 (0.2) .5 0 -120.00 t
-144.00 194.77 (0.8) .5 0 0 t
-/bg { 0 0 1 } def
-80.52 77.25 1.00 1.00 r p2
-82.24 77.66 1.00 1.00 r p2
-77.31 77.25 1.00 1.00 r p2
-89.23 82.37 1.00 1.00 r p2
-82.83 81.78 1.00 1.00 r p2
-82.87 79.17 1.00 1.00 r p2
-74.87 73.49 1.00 1.00 r p2
-85.29 80.45 1.00 1.00 r p2
-83.85 79.48 1.00 1.00 r p2
-81.32 75.81 1.00 1.00 r p2
-93.09 82.29 1.00 1.00 r p2
-80.22 77.69 1.00 1.00 r p2
-78.24 77.10 1.00 1.00 r p2
-75.76 76.48 1.00 1.00 r p2
-86.00 77.01 1.00 1.00 r p2
-86.49 77.73 1.00 1.00 r p2
-85.51 79.95 1.00 1.00 r p2
-81.47 74.49 1.00 1.00 r p2
-74.62 78.35 1.00 1.00 r p2
-78.21 72.84 1.00 1.00 r p2
-80.27 71.83 1.00 1.00 r p2
-75.45 75.83 1.00 1.00 r p2
-80.48 80.01 1.00 1.00 r p2
-81.56 81.39 1.00 1.00 r p2
-82.49 81.16 1.00 1.00 r p2
-85.88 75.32 1.00 1.00 r p2
-74.29 74.59 1.00 1.00 r p2
-81.69 76.96 1.00 1.00 r p2
-81.99 75.36 1.00 1.00 r p2
-76.59 72.20 1.00 1.00 r p2
-82.53 77.28 1.00 1.00 r p2
-79.28 78.74 1.00 1.00 r p2
-75.56 73.31 1.00 1.00 r p2
-81.59 76.88 1.00 1.00 r p2
-86.37 76.09 1.00 1.00 r p2
-77.29 77.39 1.00 1.00 r p2
-80.55 80.42 1.00 1.00 r p2
-78.92 77.44 1.00 1.00 r p2
-80.52 73.62 1.00 1.00 r p2
-82.13 76.52 1.00 1.00 r p2
-82.63 76.17 1.00 1.00 r p2
-83.73 82.49 1.00 1.00 r p2
-81.45 78.94 1.00 1.00 r p2
-85.79 78.93 1.00 1.00 r p2
-87.46 72.68 1.00 1.00 r p2
-86.68 78.00 1.00 1.00 r p2
-78.76 79.04 1.00 1.00 r p2
-87.86 77.41 1.00 1.00 r p2
-78.47 79.66 1.00 1.00 r p2
-78.07 76.57 1.00 1.00 r p2
-86.39 76.85 1.00 1.00 r p2
-87.26 81.64 1.00 1.00 r p2
-81.54 79.12 1.00 1.00 r p2
-79.18 73.93 1.00 1.00 r p2
-85.09 74.70 1.00 1.00 r p2
-70.97 67.73 1.00 1.00 r p2
-75.90 75.20 1.00 1.00 r p2
-75.64 72.25 1.00 1.00 r p2
-80.85 75.85 1.00 1.00 r p2
-86.06 79.06 1.00 1.00 r p2
-86.50 81.53 1.00 1.00 r p2
-86.38 78.86 1.00 1.00 r p2
-78.97 76.79 1.00 1.00 r p2
-85.37 77.22 1.00 1.00 r p2
-77.94 76.32 1.00 1.00 r p2
-78.36 75.95 1.00 1.00 r p2
-76.75 74.11 1.00 1.00 r p2
-80.94 80.32 1.00 1.00 r p2
-82.64 74.62 1.00 1.00 r p2
-89.02 77.63 1.00 1.00 r p2
-76.41 80.44 1.00 1.00 r p2
-81.97 81.80 1.00 1.00 r p2
-72.82 76.44 1.00 1.00 r p2
-81.94 78.91 1.00 1.00 r p2
-78.92 78.62 1.00 1.00 r p2
-81.23 79.76 1.00 1.00 r p2
-82.13 80.67 1.00 1.00 r p2
-76.72 79.52 1.00 1.00 r p2
-84.39 80.18 1.00 1.00 r p2
-86.70 75.78 1.00 1.00 r p2
-82.98 77.90 1.00 1.00 r p2
-80.19 78.48 1.00 1.00 r p2
-79.81 75.02 1.00 1.00 r p2
-81.35 76.79 1.00 1.00 r p2
-84.36 76.20 1.00 1.00 r p2
-74.25 76.49 1.00 1.00 r p2
-75.83 78.95 1.00 1.00 r p2
-79.56 76.81 1.00 1.00 r p2
-83.00 80.78 1.00 1.00 r p2
-80.17 74.77 1.00 1.00 r p2
-79.37 80.88 1.00 1.00 r p2
-86.11 80.97 1.00 1.00 r p2
-88.67 80.69 1.00 1.00 r p2
-80.17 78.83 1.00 1.00 r p2
-82.35 76.35 1.00 1.00 r p2
-83.98 77.71 1.00 1.00 r p2
-78.39 75.10 1.00 1.00 r p2
-83.19 75.71 1.00 1.00 r p2
-80.43 80.62 1.00 1.00 r p2
-81.62 79.02 1.00 1.00 r p2
-86.93 80.64 1.00 1.00 r p2
-76.08 77.02 1.00 1.00 r p2
-81.91 78.59 1.00 1.00 r p2
-82.13 77.68 1.00 1.00 r p2
-79.90 75.12 1.00 1.00 r p2
-74.53 74.99 1.00 1.00 r p2
-84.55 79.16 1.00 1.00 r p2
-76.97 70.71 1.00 1.00 r p2
-83.79 85.22 1.00 1.00 r p2
-78.87 75.53 1.00 1.00 r p2
-87.97 74.54 1.00 1.00 r p2
-78.77 77.96 1.00 1.00 r p2
-72.93 72.27 1.00 1.00 r p2
-81.24 72.90 1.00 1.00 r p2
-79.01 78.15 1.00 1.00 r p2
-80.16 78.25 1.00 1.00 r p2
-78.89 82.45 1.00 1.00 r p2
-81.41 82.23 1.00 1.00 r p2
-83.43 75.42 1.00 1.00 r p2
-78.16 75.42 1.00 1.00 r p2
-84.55 82.70 1.00 1.00 r p2
-77.32 75.76 1.00 1.00 r p2
-77.82 74.29 1.00 1.00 r p2
-80.96 77.96 1.00 1.00 r p2
-86.40 74.12 1.00 1.00 r p2
-81.81 77.71 1.00 1.00 r p2
-80.78 77.07 1.00 1.00 r p2
-82.48 71.19 1.00 1.00 r p2
-83.07 76.85 1.00 1.00 r p2
-74.59 73.66 1.00 1.00 r p2
-83.26 76.91 1.00 1.00 r p2
-74.44 74.66 1.00 1.00 r p2
-87.22 75.93 1.00 1.00 r p2
-84.78 78.27 1.00 1.00 r p2
-80.50 71.93 1.00 1.00 r p2
-80.41 79.16 1.00 1.00 r p2
-84.34 82.06 1.00 1.00 r p2
-83.22 80.97 1.00 1.00 r p2
-85.94 82.41 1.00 1.00 r p2
-78.68 72.91 1.00 1.00 r p2
-79.76 77.82 1.00 1.00 r p2
-85.26 81.43 1.00 1.00 r p2
-83.90 78.02 1.00 1.00 r p2
-79.58 75.73 1.00 1.00 r p2
-82.51 77.16 1.00 1.00 r p2
-75.41 73.54 1.00 1.00 r p2
-84.26 80.45 1.00 1.00 r p2
-86.11 79.74 1.00 1.00 r p2
-81.68 75.15 1.00 1.00 r p2
-79.60 78.59 1.00 1.00 r p2
-75.86 77.44 1.00 1.00 r p2
-71.18 71.05 1.00 1.00 r p2
-83.41 76.65 1.00 1.00 r p2
-82.56 79.22 1.00 1.00 r p2
-84.37 77.66 1.00 1.00 r p2
-77.98 77.43 1.00 1.00 r p2
-77.67 76.79 1.00 1.00 r p2
-87.89 83.16 1.00 1.00 r p2
-78.88 78.37 1.00 1.00 r p2
-77.84 74.22 1.00 1.00 r p2
-85.42 75.82 1.00 1.00 r p2
-81.93 73.36 1.00 1.00 r p2
-80.13 75.29 1.00 1.00 r p2
-74.15 72.95 1.00 1.00 r p2
-79.50 79.30 1.00 1.00 r p2
-80.38 81.49 1.00 1.00 r p2
-77.37 71.00 1.00 1.00 r p2
-79.81 78.66 1.00 1.00 r p2
-76.79 80.06 1.00 1.00 r p2
-85.03 74.76 1.00 1.00 r p2
-74.92 75.59 1.00 1.00 r p2
-76.04 74.60 1.00 1.00 r p2
-83.42 79.06 1.00 1.00 r p2
-79.87 77.40 1.00 1.00 r p2
-84.14 75.32 1.00 1.00 r p2
-82.56 80.60 1.00 1.00 r p2
-82.67 76.92 1.00 1.00 r p2
-79.45 80.43 1.00 1.00 r p2
-85.62 81.33 1.00 1.00 r p2
-81.65 77.38 1.00 1.00 r p2
-79.95 76.43 1.00 1.00 r p2
-91.38 75.63 1.00 1.00 r p2
-83.08 76.67 1.00 1.00 r p2
-80.62 74.66 1.00 1.00 r p2
-76.67 74.90 1.00 1.00 r p2
-74.29 72.02 1.00 1.00 r p2
-71.96 74.39 1.00 1.00 r p2
-76.98 76.66 1.00 1.00 r p2
-83.02 79.14 1.00 1.00 r p2
-78.35 72.75 1.00 1.00 r p2
-79.02 74.89 1.00 1.00 r p2
-80.48 77.57 1.00 1.00 r p2
-79.72 76.30 1.00 1.00 r p2
-83.59 78.68 1.00 1.00 r p2
-76.69 74.21 1.00 1.00 r p2
-84.08 76.33 1.00 1.00 r p2
-77.67 75.81 1.00 1.00 r p2
-82.18 76.37 1.00 1.00 r p2
-80.65 71.86 1.00 1.00 r p2
-83.39 77.53 1.00 1.00 r p2
-80.56 75.62 1.00 1.00 r p2
-87.29 79.22 1.00 1.00 r p2
-77.99 75.92 1.00 1.00 r p2
-79.49 78.00 1.00 1.00 r p2
-80.37 77.23 1.00 1.00 r p2
-83.13 73.97 1.00 1.00 r p2
-85.53 78.62 1.00 1.00 r p2
-80.73 79.64 1.00 1.00 r p2
-73.02 74.84 1.00 1.00 r p2
-87.18 78.49 1.00 1.00 r p2
-81.59 77.28 1.00 1.00 r p2
-80.58 80.01 1.00 1.00 r p2
-85.40 73.82 1.00 1.00 r p2
-79.28 73.95 1.00 1.00 r p2
-78.90 74.83 1.00 1.00 r p2
-88.16 80.31 1.00 1.00 r p2
-78.47 76.24 1.00 1.00 r p2
-77.64 73.02 1.00 1.00 r p2
-77.26 74.89 1.00 1.00 r p2
-81.12 80.45 1.00 1.00 r p2
-85.20 76.20 1.00 1.00 r p2
-83.13 75.01 1.00 1.00 r p2
-79.44 79.09 1.00 1.00 r p2
-85.07 75.99 1.00 1.00 r p2
-87.13 73.33 1.00 1.00 r p2
-84.58 75.30 1.00 1.00 r p2
-79.15 76.62 1.00 1.00 r p2
-84.34 77.92 1.00 1.00 r p2
-78.71 72.28 1.00 1.00 r p2
-85.23 80.21 1.00 1.00 r p2
-80.01 75.35 1.00 1.00 r p2
-78.79 75.16 1.00 1.00 r p2
-80.08 75.92 1.00 1.00 r p2
-87.80 83.39 1.00 1.00 r p2
-81.29 75.44 1.00 1.00 r p2
-83.85 78.45 1.00 1.00 r p2
-79.47 78.58 1.00 1.00 r p2
-78.58 79.16 1.00 1.00 r p2
-78.56 76.64 1.00 1.00 r p2
-82.79 74.89 1.00 1.00 r p2
-80.51 79.57 1.00 1.00 r p2
-81.53 77.10 1.00 1.00 r p2
-81.87 74.70 1.00 1.00 r p2
-79.40 79.00 1.00 1.00 r p2
-72.20 73.72 1.00 1.00 r p2
-80.95 78.74 1.00 1.00 r p2
-76.67 72.52 1.00 1.00 r p2
-85.00 77.61 1.00 1.00 r p2
-84.33 78.77 1.00 1.00 r p2
-75.21 76.44 1.00 1.00 r p2
-87.47 81.74 1.00 1.00 r p2
-82.10 76.94 1.00 1.00 r p2
-80.63 77.94 1.00 1.00 r p2
-80.45 84.26 1.00 1.00 r p2
-84.69 78.51 1.00 1.00 r p2
-79.61 72.93 1.00 1.00 r p2
-88.78 80.74 1.00 1.00 r p2
-83.29 77.23 1.00 1.00 r p2
-80.18 77.90 1.00 1.00 r p2
-75.72 73.97 1.00 1.00 r p2
-86.94 79.79 1.00 1.00 r p2
-84.16 78.18 1.00 1.00 r p2
-81.33 73.38 1.00 1.00 r p2
-78.95 77.39 1.00 1.00 r p2
-80.80 80.70 1.00 1.00 r p2
-79.17 72.79 1.00 1.00 r p2
-76.89 73.87 1.00 1.00 r p2
-81.62 75.72 1.00 1.00 r p2
-77.07 73.45 1.00 1.00 r p2
-78.03 75.83 1.00 1.00 r p2
-81.61 80.57 1.00 1.00 r p2
-81.35 80.48 1.00 1.00 r p2
-81.06 72.69 1.00 1.00 r p2
-85.15 79.62 1.00 1.00 r p2
-83.98 75.26 1.00 1.00 r p2
-77.67 77.04 1.00 1.00 r p2
-82.28 76.84 1.00 1.00 r p2
-87.80 83.07 1.00 1.00 r p2
-79.99 78.69 1.00 1.00 r p2
-77.52 73.43 1.00 1.00 r p2
-80.52 82.93 1.00 1.00 r p2
-84.50 79.05 1.00 1.00 r p2
-88.99 81.28 1.00 1.00 r p2
-86.78 81.31 1.00 1.00 r p2
-82.56 76.02 1.00 1.00 r p2
-80.07 76.66 1.00 1.00 r p2
-86.43 78.55 1.00 1.00 r p2
-84.21 85.07 1.00 1.00 r p2
-82.06 79.03 1.00 1.00 r p2
-81.99 75.87 1.00 1.00 r p2
-85.71 80.56 1.00 1.00 r p2
-79.96 77.36 1.00 1.00 r p2
-78.89 76.30 1.00 1.00 r p2
-79.85 78.64 1.00 1.00 r p2
-83.67 77.07 1.00 1.00 r p2
-75.90 73.45 1.00 1.00 r p2
-87.08 76.87 1.00 1.00 r p2
-77.80 81.51 1.00 1.00 r p2
-80.37 74.54 1.00 1.00 r p2
-81.04 78.36 1.00 1.00 r p2
-85.21 74.34 1.00 1.00 r p2
-83.37 80.80 1.00 1.00 r p2
-80.58 78.90 1.00 1.00 r p2
-82.56 77.18 1.00 1.00 r p2
-83.10 80.10 1.00 1.00 r p2
-77.24 77.22 1.00 1.00 r p2
-79.17 82.77 1.00 1.00 r p2
-86.05 74.55 1.00 1.00 r p2
-78.19 75.26 1.00 1.00 r p2
-86.70 82.07 1.00 1.00 r p2
-75.90 76.20 1.00 1.00 r p2
-78.71 79.00 1.00 1.00 r p2
-76.14 77.97 1.00 1.00 r p2
-86.91 77.04 1.00 1.00 r p2
-84.95 80.10 1.00 1.00 r p2
-77.98 74.29 1.00 1.00 r p2
-84.57 79.63 1.00 1.00 r p2
-78.36 75.17 1.00 1.00 r p2
-83.36 76.20 1.00 1.00 r p2
-81.61 76.24 1.00 1.00 r p2
-76.79 75.76 1.00 1.00 r p2
-81.90 76.85 1.00 1.00 r p2
-80.66 81.75 1.00 1.00 r p2
-78.80 76.93 1.00 1.00 r p2
-74.92 73.06 1.00 1.00 r p2
-85.59 88.50 1.00 1.00 r p2
-83.41 75.72 1.00 1.00 r p2
-81.87 81.13 1.00 1.00 r p2
-80.01 77.32 1.00 1.00 r p2
-80.25 80.16 1.00 1.00 r p2
-87.32 82.85 1.00 1.00 r p2
-84.97 78.18 1.00 1.00 r p2
-81.24 77.15 1.00 1.00 r p2
-78.08 78.69 1.00 1.00 r p2
-87.41 79.40 1.00 1.00 r p2
-77.60 73.84 1.00 1.00 r p2
-87.68 77.67 1.00 1.00 r p2
-76.93 70.87 1.00 1.00 r p2
-84.91 80.47 1.00 1.00 r p2
-72.21 73.58 1.00 1.00 r p2
-78.84 80.84 1.00 1.00 r p2
-82.00 76.96 1.00 1.00 r p2
-81.04 76.42 1.00 1.00 r p2
-82.69 79.96 1.00 1.00 r p2
-82.77 77.32 1.00 1.00 r p2
-90.89 87.01 1.00 1.00 r p2
-81.17 78.10 1.00 1.00 r p2
-81.97 80.35 1.00 1.00 r p2
-84.48 77.53 1.00 1.00 r p2
-90.58 80.82 1.00 1.00 r p2
-84.38 75.64 1.00 1.00 r p2
-77.97 74.90 1.00 1.00 r p2
-83.22 78.15 1.00 1.00 r p2
-79.92 79.42 1.00 1.00 r p2
-79.95 75.28 1.00 1.00 r p2
-78.08 78.70 1.00 1.00 r p2
-85.57 80.87 1.00 1.00 r p2
-78.29 80.22 1.00 1.00 r p2
-74.81 74.65 1.00 1.00 r p2
-80.51 79.10 1.00 1.00 r p2
-84.53 75.30 1.00 1.00 r p2
-82.83 75.63 1.00 1.00 r p2
-76.65 75.35 1.00 1.00 r p2
-83.20 86.67 1.00 1.00 r p2
-78.17 73.89 1.00 1.00 r p2
-77.90 74.22 1.00 1.00 r p2
-79.64 76.78 1.00 1.00 r p2
-79.14 80.60 1.00 1.00 r p2
-80.18 80.36 1.00 1.00 r p2
-75.33 76.66 1.00 1.00 r p2
-90.36 82.09 1.00 1.00 r p2
-75.98 78.27 1.00 1.00 r p2
-79.91 74.13 1.00 1.00 r p2
-78.58 74.01 1.00 1.00 r p2
-78.30 76.66 1.00 1.00 r p2
-78.02 74.46 1.00 1.00 r p2
-83.71 77.85 1.00 1.00 r p2
-80.66 73.40 1.00 1.00 r p2
-83.51 78.95 1.00 1.00 r p2
-82.42 78.54 1.00 1.00 r p2
-79.25 77.08 1.00 1.00 r p2
-83.14 81.15 1.00 1.00 r p2
-82.34 78.85 1.00 1.00 r p2
-77.66 73.43 1.00 1.00 r p2
-78.92 77.83 1.00 1.00 r p2
-78.88 78.55 1.00 1.00 r p2
-77.45 75.23 1.00 1.00 r p2
-78.53 70.87 1.00 1.00 r p2
-85.96 79.68 1.00 1.00 r p2
-80.87 79.04 1.00 1.00 r p2
-84.81 76.40 1.00 1.00 r p2
-88.46 77.50 1.00 1.00 r p2
-79.71 74.62 1.00 1.00 r p2
-82.38 77.23 1.00 1.00 r p2
-83.10 82.39 1.00 1.00 r p2
-85.16 74.65 1.00 1.00 r p2
-78.29 82.26 1.00 1.00 r p2
-80.97 76.45 1.00 1.00 r p2
-83.70 75.42 1.00 1.00 r p2
-76.93 78.81 1.00 1.00 r p2
-77.49 74.12 1.00 1.00 r p2
-88.77 81.41 1.00 1.00 r p2
-78.48 75.59 1.00 1.00 r p2
-80.54 72.34 1.00 1.00 r p2
-78.26 79.83 1.00 1.00 r p2
-75.01 74.35 1.00 1.00 r p2
-79.37 73.75 1.00 1.00 r p2
-83.58 76.90 1.00 1.00 r p2
-88.04 75.55 1.00 1.00 r p2
-84.78 76.31 1.00 1.00 r p2
-78.42 82.79 1.00 1.00 r p2
-79.61 76.14 1.00 1.00 r p2
-85.14 80.05 1.00 1.00 r p2
-77.81 75.24 1.00 1.00 r p2
-79.49 76.86 1.00 1.00 r p2
-85.41 78.34 1.00 1.00 r p2
-89.41 78.26 1.00 1.00 r p2
-83.11 77.92 1.00 1.00 r p2
-78.03 73.84 1.00 1.00 r p2
-79.94 74.82 1.00 1.00 r p2
-80.15 77.57 1.00 1.00 r p2
-85.94 77.28 1.00 1.00 r p2
-79.59 82.68 1.00 1.00 r p2
-79.51 78.75 1.00 1.00 r p2
-81.40 81.62 1.00 1.00 r p2
-83.00 76.50 1.00 1.00 r p2
-80.71 76.29 1.00 1.00 r p2
-83.11 78.67 1.00 1.00 r p2
-87.02 77.51 1.00 1.00 r p2
-82.46 79.75 1.00 1.00 r p2
-84.81 76.04 1.00 1.00 r p2
-84.80 80.95 1.00 1.00 r p2
-85.79 91.06 1.00 1.00 r p2
-74.75 74.08 1.00 1.00 r p2
-72.26 72.74 1.00 1.00 r p2
-77.79 81.46 1.00 1.00 r p2
-82.76 77.90 1.00 1.00 r p2
-78.65 73.76 1.00 1.00 r p2
-87.07 78.97 1.00 1.00 r p2
-77.88 74.20 1.00 1.00 r p2
-74.17 73.94 1.00 1.00 r p2
-87.46 78.81 1.00 1.00 r p2
-73.93 70.18 1.00 1.00 r p2
-87.69 77.60 1.00 1.00 r p2
-80.06 78.59 1.00 1.00 r p2
-71.04 71.08 1.00 1.00 r p2
-80.38 70.77 1.00 1.00 r p2
-78.30 76.60 1.00 1.00 r p2
-83.40 79.61 1.00 1.00 r p2
-84.84 80.27 1.00 1.00 r p2
-82.54 82.97 1.00 1.00 r p2
-83.12 79.23 1.00 1.00 r p2
-78.80 71.60 1.00 1.00 r p2
-76.11 76.40 1.00 1.00 r p2
-81.70 76.96 1.00 1.00 r p2
-82.60 73.81 1.00 1.00 r p2
-81.63 80.19 1.00 1.00 r p2
-84.42 76.13 1.00 1.00 r p2
-71.35 70.38 1.00 1.00 r p2
-80.36 74.21 1.00 1.00 r p2
-79.50 71.64 1.00 1.00 r p2
-79.06 75.03 1.00 1.00 r p2
-79.41 80.30 1.00 1.00 r p2
-84.01 81.61 1.00 1.00 r p2
-81.32 74.24 1.00 1.00 r p2
-81.96 74.65 1.00 1.00 r p2
-81.13 77.70 1.00 1.00 r p2
-76.80 76.03 1.00 1.00 r p2
-81.35 78.13 1.00 1.00 r p2
-80.71 77.78 1.00 1.00 r p2
-90.21 82.38 1.00 1.00 r p2
-83.01 77.11 1.00 1.00 r p2
-80.18 78.17 1.00 1.00 r p2
-85.87 79.45 1.00 1.00 r p2
-81.15 79.21 1.00 1.00 r p2
-80.74 74.08 1.00 1.00 r p2
-82.95 72.29 1.00 1.00 r p2
-78.47 72.83 1.00 1.00 r p2
-80.26 80.02 1.00 1.00 r p2
-76.05 75.59 1.00 1.00 r p2
-76.90 74.03 1.00 1.00 r p2
-79.27 76.81 1.00 1.00 r p2
-88.73 79.68 1.00 1.00 r p2
-86.36 79.74 1.00 1.00 r p2
-83.67 79.61 1.00 1.00 r p2
-79.39 73.69 1.00 1.00 r p2
-81.06 77.55 1.00 1.00 r p2
-79.78 76.61 1.00 1.00 r p2
-90.87 79.99 1.00 1.00 r p2
-80.42 76.86 1.00 1.00 r p2
-84.32 78.75 1.00 1.00 r p2
-81.35 76.32 1.00 1.00 r p2
-78.02 76.90 1.00 1.00 r p2
-76.86 74.68 1.00 1.00 r p2
-85.77 83.21 1.00 1.00 r p2
-74.60 70.28 1.00 1.00 r p2
-84.91 79.01 1.00 1.00 r p2
-83.13 77.02 1.00 1.00 r p2
-79.57 75.28 1.00 1.00 r p2
-79.01 72.22 1.00 1.00 r p2
-84.82 79.67 1.00 1.00 r p2
-78.38 76.77 1.00 1.00 r p2
-73.01 73.00 1.00 1.00 r p2
-78.77 83.62 1.00 1.00 r p2
-84.47 76.78 1.00 1.00 r p2
-74.82 71.51 1.00 1.00 r p2
-79.78 78.42 1.00 1.00 r p2
-84.83 77.57 1.00 1.00 r p2
-81.22 83.94 1.00 1.00 r p2
-87.99 73.29 1.00 1.00 r p2
-79.03 74.74 1.00 1.00 r p2
-79.39 78.77 1.00 1.00 r p2
-72.93 75.93 1.00 1.00 r p2
-77.56 76.46 1.00 1.00 r p2
-77.10 80.77 1.00 1.00 r p2
-82.84 72.20 1.00 1.00 r p2
-79.62 79.96 1.00 1.00 r p2
-81.96 76.80 1.00 1.00 r p2
-75.21 77.48 1.00 1.00 r p2
-81.85 84.94 1.00 1.00 r p2
-80.29 77.07 1.00 1.00 r p2
-81.08 73.81 1.00 1.00 r p2
-82.78 76.99 1.00 1.00 r p2
-75.18 77.83 1.00 1.00 r p2
-85.69 76.48 1.00 1.00 r p2
-82.43 77.90 1.00 1.00 r p2
-81.35 71.78 1.00 1.00 r p2
-84.91 80.70 1.00 1.00 r p2
-75.32 73.74 1.00 1.00 r p2
-81.44 77.70 1.00 1.00 r p2
-83.93 75.10 1.00 1.00 r p2
-79.90 78.27 1.00 1.00 r p2
-82.63 75.67 1.00 1.00 r p2
-78.47 76.63 1.00 1.00 r p2
-82.41 80.41 1.00 1.00 r p2
-75.61 73.90 1.00 1.00 r p2
-86.28 82.62 1.00 1.00 r p2
-91.42 82.84 1.00 1.00 r p2
-81.62 77.47 1.00 1.00 r p2
-83.88 83.48 1.00 1.00 r p2
-78.03 72.07 1.00 1.00 r p2
-85.26 80.02 1.00 1.00 r p2
-80.60 80.50 1.00 1.00 r p2
-87.68 75.47 1.00 1.00 r p2
-84.97 80.45 1.00 1.00 r p2
-80.16 73.43 1.00 1.00 r p2
-76.41 70.28 1.00 1.00 r p2
-77.13 72.82 1.00 1.00 r p2
-86.39 78.90 1.00 1.00 r p2
-80.89 80.51 1.00 1.00 r p2
-77.62 73.60 1.00 1.00 r p2
-79.74 77.16 1.00 1.00 r p2
-80.28 78.71 1.00 1.00 r p2
-82.78 69.13 1.00 1.00 r p2
-80.14 77.14 1.00 1.00 r p2
-87.53 83.27 1.00 1.00 r p2
-79.84 81.97 1.00 1.00 r p2
-78.30 78.84 1.00 1.00 r p2
-86.97 73.16 1.00 1.00 r p2
-85.05 76.64 1.00 1.00 r p2
-83.74 80.19 1.00 1.00 r p2
-88.21 80.10 1.00 1.00 r p2
-89.78 82.36 1.00 1.00 r p2
-78.78 76.62 1.00 1.00 r p2
-78.60 75.76 1.00 1.00 r p2
-76.30 73.25 1.00 1.00 r p2
-78.14 75.65 1.00 1.00 r p2
-80.76 79.93 1.00 1.00 r p2
-79.88 77.61 1.00 1.00 r p2
-84.89 81.92 1.00 1.00 r p2
-78.33 72.10 1.00 1.00 r p2
-82.00 77.60 1.00 1.00 r p2
-74.63 72.59 1.00 1.00 r p2
-81.48 78.05 1.00 1.00 r p2
-81.75 76.35 1.00 1.00 r p2
-89.27 77.85 1.00 1.00 r p2
-83.73 75.60 1.00 1.00 r p2
-79.43 73.37 1.00 1.00 r p2
-85.31 79.88 1.00 1.00 r p2
-79.92 78.10 1.00 1.00 r p2
-77.62 71.97 1.00 1.00 r p2
-86.67 78.59 1.00 1.00 r p2
-80.93 74.52 1.00 1.00 r p2
-72.41 77.85 1.00 1.00 r p2
-81.75 75.31 1.00 1.00 r p2
-87.87 77.98 1.00 1.00 r p2
-83.48 81.42 1.00 1.00 r p2
-77.31 71.46 1.00 1.00 r p2
-82.46 77.93 1.00 1.00 r p2
-79.95 78.12 1.00 1.00 r p2
-83.71 77.30 1.00 1.00 r p2
-82.55 76.53 1.00 1.00 r p2
-74.55 76.67 1.00 1.00 r p2
-85.69 81.83 1.00 1.00 r p2
-79.90 74.10 1.00 1.00 r p2
-80.74 77.28 1.00 1.00 r p2
-81.42 81.31 1.00 1.00 r p2
-80.20 79.23 1.00 1.00 r p2
-77.41 79.01 1.00 1.00 r p2
-82.67 76.14 1.00 1.00 r p2
-81.77 76.19 1.00 1.00 r p2
-84.37 76.90 1.00 1.00 r p2
-78.53 73.92 1.00 1.00 r p2
-83.07 80.17 1.00 1.00 r p2
-84.01 82.56 1.00 1.00 r p2
-84.08 75.14 1.00 1.00 r p2
-79.07 74.93 1.00 1.00 r p2
-82.48 82.38 1.00 1.00 r p2
-76.82 78.29 1.00 1.00 r p2
-82.69 79.00 1.00 1.00 r p2
-77.00 74.10 1.00 1.00 r p2
-75.74 71.51 1.00 1.00 r p2
-82.62 80.76 1.00 1.00 r p2
-81.75 73.59 1.00 1.00 r p2
-78.77 75.90 1.00 1.00 r p2
-83.17 78.57 1.00 1.00 r p2
-77.28 76.21 1.00 1.00 r p2
-81.61 77.49 1.00 1.00 r p2
-77.13 69.87 1.00 1.00 r p2
-82.97 80.17 1.00 1.00 r p2
-77.34 75.51 1.00 1.00 r p2
-81.41 80.28 1.00 1.00 r p2
-79.44 76.06 1.00 1.00 r p2
-74.45 74.76 1.00 1.00 r p2
-79.91 76.56 1.00 1.00 r p2
-79.64 74.48 1.00 1.00 r p2
-86.18 86.81 1.00 1.00 r p2
-90.79 81.67 1.00 1.00 r p2
-82.90 79.24 1.00 1.00 r p2
-79.30 75.59 1.00 1.00 r p2
-79.08 74.38 1.00 1.00 r p2
-82.34 77.13 1.00 1.00 r p2
-86.42 77.92 1.00 1.00 r p2
-86.01 74.32 1.00 1.00 r p2
-81.03 82.60 1.00 1.00 r p2
-86.88 81.40 1.00 1.00 r p2
-85.94 75.50 1.00 1.00 r p2
-76.98 77.44 1.00 1.00 r p2
-81.66 76.64 1.00 1.00 r p2
-76.94 77.06 1.00 1.00 r p2
-84.34 76.33 1.00 1.00 r p2
-77.29 76.65 1.00 1.00 r p2
-88.02 76.47 1.00 1.00 r p2
-85.10 76.36 1.00 1.00 r p2
-78.47 79.73 1.00 1.00 r p2
-75.96 72.81 1.00 1.00 r p2
-83.48 75.40 1.00 1.00 r p2
-81.06 79.85 1.00 1.00 r p2
-85.00 79.38 1.00 1.00 r p2
-82.95 72.09 1.00 1.00 r p2
-78.89 82.13 1.00 1.00 r p2
-77.94 75.27 1.00 1.00 r p2
-78.44 77.69 1.00 1.00 r p2
-84.93 81.45 1.00 1.00 r p2
-85.69 75.99 1.00 1.00 r p2
-84.44 77.54 1.00 1.00 r p2
-85.79 76.97 1.00 1.00 r p2
-82.10 81.98 1.00 1.00 r p2
-81.84 82.22 1.00 1.00 r p2
-88.30 80.24 1.00 1.00 r p2
-75.11 80.08 1.00 1.00 r p2
-81.75 81.17 1.00 1.00 r p2
-87.77 83.36 1.00 1.00 r p2
-81.83 80.83 1.00 1.00 r p2
-77.71 76.20 1.00 1.00 r p2
-78.32 76.03 1.00 1.00 r p2
-85.15 80.07 1.00 1.00 r p2
-82.92 78.41 1.00 1.00 r p2
-84.91 77.63 1.00 1.00 r p2
-81.53 77.01 1.00 1.00 r p2
-87.83 78.54 1.00 1.00 r p2
-80.49 77.25 1.00 1.00 r p2
-80.81 74.17 1.00 1.00 r p2
-87.07 83.16 1.00 1.00 r p2
-76.11 74.68 1.00 1.00 r p2
-78.85 75.55 1.00 1.00 r p2
-81.27 74.11 1.00 1.00 r p2
-77.65 76.90 1.00 1.00 r p2
-81.77 84.77 1.00 1.00 r p2
-82.53 76.80 1.00 1.00 r p2
-79.43 80.88 1.00 1.00 r p2
-77.13 72.11 1.00 1.00 r p2
-79.43 78.22 1.00 1.00 r p2
-81.14 77.99 1.00 1.00 r p2
-85.38 78.56 1.00 1.00 r p2
-85.43 75.86 1.00 1.00 r p2
-75.97 72.15 1.00 1.00 r p2
-85.89 76.93 1.00 1.00 r p2
-84.46 73.92 1.00 1.00 r p2
-79.45 78.75 1.00 1.00 r p2
-76.08 76.55 1.00 1.00 r p2
-83.85 74.22 1.00 1.00 r p2
-82.77 77.59 1.00 1.00 r p2
-81.82 78.95 1.00 1.00 r p2
-85.46 77.19 1.00 1.00 r p2
-78.99 78.97 1.00 1.00 r p2
-83.34 75.74 1.00 1.00 r p2
-79.15 73.00 1.00 1.00 r p2
-84.65 73.87 1.00 1.00 r p2
-86.03 74.82 1.00 1.00 r p2
-79.77 74.90 1.00 1.00 r p2
-81.93 79.74 1.00 1.00 r p2
-86.35 79.82 1.00 1.00 r p2
-80.24 77.93 1.00 1.00 r p2
-78.79 79.64 1.00 1.00 r p2
-79.41 78.78 1.00 1.00 r p2
-81.84 78.99 1.00 1.00 r p2
-84.67 74.89 1.00 1.00 r p2
-71.89 69.68 1.00 1.00 r p2
-79.59 76.01 1.00 1.00 r p2
-82.21 75.01 1.00 1.00 r p2
-77.36 78.57 1.00 1.00 r p2
-81.43 80.31 1.00 1.00 r p2
-80.67 82.65 1.00 1.00 r p2
-78.70 73.66 1.00 1.00 r p2
-83.03 79.04 1.00 1.00 r p2
-83.27 79.76 1.00 1.00 r p2
-78.59 79.23 1.00 1.00 r p2
-87.75 84.93 1.00 1.00 r p2
-86.23 80.73 1.00 1.00 r p2
-77.79 79.70 1.00 1.00 r p2
-81.95 80.07 1.00 1.00 r p2
-85.45 77.26 1.00 1.00 r p2
-85.21 78.73 1.00 1.00 r p2
-82.72 75.84 1.00 1.00 r p2
-78.68 79.97 1.00 1.00 r p2
-76.45 77.07 1.00 1.00 r p2
-80.20 77.69 1.00 1.00 r p2
-79.73 82.31 1.00 1.00 r p2
-79.13 76.05 1.00 1.00 r p2
-80.49 79.92 1.00 1.00 r p2
-88.97 81.27 1.00 1.00 r p2
-83.00 76.52 1.00 1.00 r p2
-84.21 76.30 1.00 1.00 r p2
-76.50 78.13 1.00 1.00 r p2
-78.09 75.93 1.00 1.00 r p2
-80.96 74.72 1.00 1.00 r p2
-82.06 77.33 1.00 1.00 r p2
-78.86 80.26 1.00 1.00 r p2
-83.30 80.31 1.00 1.00 r p2
-88.44 75.49 1.00 1.00 r p2
-78.93 75.17 1.00 1.00 r p2
-80.17 77.05 1.00 1.00 r p2
-76.78 73.39 1.00 1.00 r p2
-82.66 81.44 1.00 1.00 r p2
-80.13 83.48 1.00 1.00 r p2
-86.77 86.68 1.00 1.00 r p2
-85.80 78.20 1.00 1.00 r p2
-86.01 80.95 1.00 1.00 r p2
-78.47 75.61 1.00 1.00 r p2
-86.80 71.67 1.00 1.00 r p2
-83.12 78.59 1.00 1.00 r p2
-82.27 78.17 1.00 1.00 r p2
-88.02 81.88 1.00 1.00 r p2
-82.18 79.74 1.00 1.00 r p2
-76.30 73.64 1.00 1.00 r p2
-76.47 75.70 1.00 1.00 r p2
-81.97 75.20 1.00 1.00 r p2
-86.73 81.05 1.00 1.00 r p2
-80.18 76.37 1.00 1.00 r p2
-80.98 75.23 1.00 1.00 r p2
-84.06 73.82 1.00 1.00 r p2
-80.60 72.42 1.00 1.00 r p2
-79.09 74.70 1.00 1.00 r p2
-83.13 78.28 1.00 1.00 r p2
-74.32 76.01 1.00 1.00 r p2
-84.22 76.59 1.00 1.00 r p2
-80.00 78.58 1.00 1.00 r p2
-80.01 77.60 1.00 1.00 r p2
-77.32 78.29 1.00 1.00 r p2
-80.31 74.64 1.00 1.00 r p2
-84.21 83.59 1.00 1.00 r p2
-82.23 73.17 1.00 1.00 r p2
-81.79 73.80 1.00 1.00 r p2
-83.71 76.06 1.00 1.00 r p2
-80.59 74.50 1.00 1.00 r p2
-81.64 71.96 1.00 1.00 r p2
-88.49 80.32 1.00 1.00 r p2
-81.63 76.65 1.00 1.00 r p2
-87.50 80.23 1.00 1.00 r p2
-85.48 76.74 1.00 1.00 r p2
-84.38 77.72 1.00 1.00 r p2
-78.99 78.66 1.00 1.00 r p2
-73.53 73.11 1.00 1.00 r p2
-73.62 69.82 1.00 1.00 r p2
-81.63 71.60 1.00 1.00 r p2
-82.06 77.92 1.00 1.00 r p2
-81.90 80.52 1.00 1.00 r p2
-83.46 76.77 1.00 1.00 r p2
-75.51 73.15 1.00 1.00 r p2
-77.75 76.21 1.00 1.00 r p2
-74.96 72.10 1.00 1.00 r p2
-82.11 77.89 1.00 1.00 r p2
-83.62 76.87 1.00 1.00 r p2
-82.19 75.66 1.00 1.00 r p2
-73.02 75.90 1.00 1.00 r p2
-75.53 71.55 1.00 1.00 r p2
-81.10 77.01 1.00 1.00 r p2
-81.74 75.63 1.00 1.00 r p2
-77.03 71.50 1.00 1.00 r p2
-75.41 74.15 1.00 1.00 r p2
-81.08 76.59 1.00 1.00 r p2
-81.59 76.67 1.00 1.00 r p2
-82.71 80.22 1.00 1.00 r p2
-82.00 78.47 1.00 1.00 r p2
-77.28 74.05 1.00 1.00 r p2
-77.00 74.19 1.00 1.00 r p2
-77.70 74.08 1.00 1.00 r p2
-87.96 79.31 1.00 1.00 r p2
-86.04 80.84 1.00 1.00 r p2
-79.41 73.67 1.00 1.00 r p2
-85.11 76.62 1.00 1.00 r p2
-79.77 73.10 1.00 1.00 r p2
-85.00 77.62 1.00 1.00 r p2
-83.22 76.28 1.00 1.00 r p2
-79.12 79.50 1.00 1.00 r p2
-78.62 76.82 1.00 1.00 r p2
-76.74 74.16 1.00 1.00 r p2
-80.66 78.02 1.00 1.00 r p2
-80.71 75.95 1.00 1.00 r p2
-78.62 79.30 1.00 1.00 r p2
-83.80 74.87 1.00 1.00 r p2
-82.29 81.34 1.00 1.00 r p2
-78.82 74.97 1.00 1.00 r p2
-79.47 72.79 1.00 1.00 r p2
-92.34 77.81 1.00 1.00 r p2
-86.60 76.97 1.00 1.00 r p2
-79.70 75.85 1.00 1.00 r p2
-75.14 74.28 1.00 1.00 r p2
-77.58 79.20 1.00 1.00 r p2
-78.99 74.27 1.00 1.00 r p2
-77.76 74.04 1.00 1.00 r p2
-77.28 75.89 1.00 1.00 r p2
-76.10 72.01 1.00 1.00 r p2
-78.48 74.52 1.00 1.00 r p2
-79.75 74.61 1.00 1.00 r p2
-86.66 75.83 1.00 1.00 r p2
-82.79 81.84 1.00 1.00 r p2
-81.30 80.16 1.00 1.00 r p2
-79.73 76.02 1.00 1.00 r p2
-84.31 79.89 1.00 1.00 r p2
-82.12 74.14 1.00 1.00 r p2
-78.05 74.97 1.00 1.00 r p2
-81.12 76.82 1.00 1.00 r p2
-88.60 81.97 1.00 1.00 r p2
-82.39 72.39 1.00 1.00 r p2
-83.15 78.30 1.00 1.00 r p2
-85.34 74.46 1.00 1.00 r p2
-78.48 77.52 1.00 1.00 r p2
-81.01 78.75 1.00 1.00 r p2
-79.22 78.26 1.00 1.00 r p2
-80.63 78.03 1.00 1.00 r p2
-81.90 77.66 1.00 1.00 r p2
-86.69 79.88 1.00 1.00 r p2
-86.15 80.99 1.00 1.00 r p2
-77.03 77.57 1.00 1.00 r p2
-83.51 77.58 1.00 1.00 r p2
-75.41 75.24 1.00 1.00 r p2
-78.71 81.56 1.00 1.00 r p2
-79.93 77.86 1.00 1.00 r p2
-79.53 76.42 1.00 1.00 r p2
-83.23 79.67 1.00 1.00 r p2
-77.05 73.44 1.00 1.00 r p2
-85.34 77.33 1.00 1.00 r p2
-83.82 82.45 1.00 1.00 r p2
-82.06 77.67 1.00 1.00 r p2
-82.80 74.65 1.00 1.00 r p2
-84.26 76.22 1.00 1.00 r p2
-84.03 79.05 1.00 1.00 r p2
-79.27 78.13 1.00 1.00 r p2
-81.95 74.74 1.00 1.00 r p2
-78.85 76.03 1.00 1.00 r p2
-84.22 71.21 1.00 1.00 r p2
-82.10 73.71 1.00 1.00 r p2
-85.51 78.88 1.00 1.00 r p2
-84.48 79.53 1.00 1.00 r p2
-85.11 73.96 1.00 1.00 r p2
-89.00 82.01 1.00 1.00 r p2
-81.77 75.93 1.00 1.00 r p2
-75.64 76.04 1.00 1.00 r p2
-80.54 75.07 1.00 1.00 r p2
-79.69 75.99 1.00 1.00 r p2
-81.61 82.10 1.00 1.00 r p2
-83.47 81.28 1.00 1.00 r p2
-81.65 75.39 1.00 1.00 r p2
-85.16 84.21 1.00 1.00 r p2
-83.29 77.00 1.00 1.00 r p2
-78.69 74.78 1.00 1.00 r p2
-79.72 77.08 1.00 1.00 r p2
-83.25 80.68 1.00 1.00 r p2
-83.21 82.73 1.00 1.00 r p2
-80.25 77.87 1.00 1.00 r p2
-79.98 80.54 1.00 1.00 r p2
-82.42 76.62 1.00 1.00 r p2
-78.32 74.93 1.00 1.00 r p2
-84.30 76.47 1.00 1.00 r p2
-84.54 78.25 1.00 1.00 r p2
-80.45 75.00 1.00 1.00 r p2
-89.23 83.34 1.00 1.00 r p2
-77.86 77.97 1.00 1.00 r p2
-81.43 81.37 1.00 1.00 r p2
-83.41 79.08 1.00 1.00 r p2
-81.13 72.94 1.00 1.00 r p2
-81.90 80.93 1.00 1.00 r p2
-83.15 81.67 1.00 1.00 r p2
-81.50 74.93 1.00 1.00 r p2
-78.42 77.36 1.00 1.00 r p2
-79.95 73.70 1.00 1.00 r p2
-78.44 73.94 1.00 1.00 r p2
-87.81 77.19 1.00 1.00 r p2
-76.34 73.16 1.00 1.00 r p2
-76.61 74.61 1.00 1.00 r p2
-77.16 75.24 1.00 1.00 r p2
-75.68 74.76 1.00 1.00 r p2
-82.82 78.67 1.00 1.00 r p2
-81.86 79.36 1.00 1.00 r p2
-77.61 70.98 1.00 1.00 r p2
-76.06 76.02 1.00 1.00 r p2
-80.18 77.47 1.00 1.00 r p2
-84.89 84.31 1.00 1.00 r p2
-74.73 75.45 1.00 1.00 r p2
-84.23 76.63 1.00 1.00 r p2
-75.91 74.99 1.00 1.00 r p2
-79.74 76.97 1.00 1.00 r p2
-82.54 79.17 1.00 1.00 r p2
-83.66 79.65 1.00 1.00 r p2
-81.71 80.70 1.00 1.00 r p2
-87.81 76.92 1.00 1.00 r p2
-79.26 76.81 1.00 1.00 r p2
-86.79 82.79 1.00 1.00 r p2
-82.00 80.88 1.00 1.00 r p2
-83.14 74.96 1.00 1.00 r p2
-82.85 75.92 1.00 1.00 r p2
-78.01 75.68 1.00 1.00 r p2
-86.17 75.31 1.00 1.00 r p2
-82.01 75.91 1.00 1.00 r p2
-79.01 77.11 1.00 1.00 r p2
-82.19 76.97 1.00 1.00 r p2
-85.54 82.07 1.00 1.00 r p2
-78.84 74.79 1.00 1.00 r p2
-85.50 76.81 1.00 1.00 r p2
-77.76 74.71 1.00 1.00 r p2
-84.08 78.56 1.00 1.00 r p2
-81.44 77.38 1.00 1.00 r p2
-85.74 75.34 1.00 1.00 r p2
-80.66 81.11 1.00 1.00 r p2
-82.97 77.82 1.00 1.00 r p2
-76.89 77.08 1.00 1.00 r p2
-80.75 83.05 1.00 1.00 r p2
-79.71 75.81 1.00 1.00 r p2
-79.73 71.87 1.00 1.00 r p2
-80.31 79.24 1.00 1.00 r p2
-83.23 78.72 1.00 1.00 r p2
-80.23 76.77 1.00 1.00 r p2
-82.71 76.19 1.00 1.00 r p2
-85.76 83.45 1.00 1.00 r p2
-79.60 79.35 1.00 1.00 r p2
-87.35 74.75 1.00 1.00 r p2
-83.36 77.03 1.00 1.00 r p2
-81.03 74.12 1.00 1.00 r p2
-84.56 76.28 1.00 1.00 r p2
-81.80 75.77 1.00 1.00 r p2
-81.41 76.06 1.00 1.00 r p2
-83.39 72.00 1.00 1.00 r p2
-77.94 77.26 1.00 1.00 r p2
-86.46 84.08 1.00 1.00 r p2
-83.59 74.90 1.00 1.00 r p2
-86.15 73.66 1.00 1.00 r p2
-76.16 76.89 1.00 1.00 r p2
-84.24 74.52 1.00 1.00 r p2
-78.01 78.44 1.00 1.00 r p2
-76.71 75.57 1.00 1.00 r p2
-81.60 73.99 1.00 1.00 r p2
-83.55 79.94 1.00 1.00 r p2
-87.23 73.20 1.00 1.00 r p2
-82.47 75.83 1.00 1.00 r p2
-77.59 74.23 1.00 1.00 r p2
-78.04 77.55 1.00 1.00 r p2
-79.82 80.94 1.00 1.00 r p2
-80.38 78.21 1.00 1.00 r p2
-79.54 79.73 1.00 1.00 r p2
-82.90 80.28 1.00 1.00 r p2
-78.73 77.00 1.00 1.00 r p2
-85.81 78.54 1.00 1.00 r p2
-80.38 76.70 1.00 1.00 r p2
-84.83 74.73 1.00 1.00 r p2
-82.15 75.28 1.00 1.00 r p2
-80.25 81.73 1.00 1.00 r p2
-84.37 78.57 1.00 1.00 r p2
-80.21 75.45 1.00 1.00 r p2
-78.55 75.27 1.00 1.00 r p2
-82.83 74.41 1.00 1.00 r p2
-79.90 76.65 1.00 1.00 r p2
-82.57 76.87 1.00 1.00 r p2
-78.11 75.41 1.00 1.00 r p2
-79.40 76.82 1.00 1.00 r p2
-82.30 74.37 1.00 1.00 r p2
-80.78 78.92 1.00 1.00 r p2
-82.97 77.89 1.00 1.00 r p2
-79.67 76.77 1.00 1.00 r p2
-/bg { 1 0 0 } def
-132.88 103.82 1.00 1.00 r p2
-136.87 102.09 1.00 1.00 r p2
-135.10 99.61 1.00 1.00 r p2
-126.19 96.03 1.00 1.00 r p2
-138.97 100.10 1.00 1.00 r p2
-129.98 109.82 1.00 1.00 r p2
-124.99 98.09 1.00 1.00 r p2
-127.11 101.34 1.00 1.00 r p2
-134.26 99.70 1.00 1.00 r p2
-134.28 100.72 1.00 1.00 r p2
-126.26 103.53 1.00 1.00 r p2
-131.65 103.12 1.00 1.00 r p2
-134.39 99.52 1.00 1.00 r p2
-135.62 99.48 1.00 1.00 r p2
-135.53 105.88 1.00 1.00 r p2
-135.24 108.36 1.00 1.00 r p2
-132.21 103.98 1.00 1.00 r p2
-140.04 101.22 1.00 1.00 r p2
-126.96 100.49 1.00 1.00 r p2
-129.88 100.53 1.00 1.00 r p2
-133.02 109.23 1.00 1.00 r p2
-132.91 98.73 1.00 1.00 r p2
-142.81 101.03 1.00 1.00 r p2
-129.20 101.82 1.00 1.00 r p2
-140.27 101.86 1.00 1.00 r p2
-130.54 102.07 1.00 1.00 r p2
-131.88 104.04 1.00 1.00 r p2
-123.40 102.30 1.00 1.00 r p2
-131.34 103.23 1.00 1.00 r p2
-140.49 107.89 1.00 1.00 r p2
-137.27 98.86 1.00 1.00 r p2
-141.78 96.47 1.00 1.00 r p2
-133.81 104.82 1.00 1.00 r p2
-135.28 100.63 1.00 1.00 r p2
-135.32 100.40 1.00 1.00 r p2
-133.73 103.88 1.00 1.00 r p2
-138.38 98.03 1.00 1.00 r p2
-129.86 100.56 1.00 1.00 r p2
-136.33 107.60 1.00 1.00 r p2
-134.01 108.38 1.00 1.00 r p2
-134.22 103.81 1.00 1.00 r p2
-135.69 102.69 1.00 1.00 r p2
-132.33 101.19 1.00 1.00 r p2
-129.17 100.30 1.00 1.00 r p2
-135.86 110.13 1.00 1.00 r p2
-134.30 109.05 1.00 1.00 r p2
-128.55 100.64 1.00 1.00 r p2
-128.32 100.92 1.00 1.00 r p2
-133.35 99.34 1.00 1.00 r p2
-129.60 105.13 1.00 1.00 r p2
-133.97 104.84 1.00 1.00 r p2
-136.48 96.31 1.00 1.00 r p2
-136.56 99.43 1.00 1.00 r p2
-134.62 104.03 1.00 1.00 r p2
-130.22 92.32 1.00 1.00 r p2
-126.85 97.44 1.00 1.00 r p2
-132.11 101.79 1.00 1.00 r p2
-136.88 106.70 1.00 1.00 r p2
-135.28 98.52 1.00 1.00 r p2
-137.73 108.36 1.00 1.00 r p2
-140.10 101.17 1.00 1.00 r p2
-133.27 112.98 1.00 1.00 r p2
-128.65 98.75 1.00 1.00 r p2
-134.97 102.94 1.00 1.00 r p2
-131.12 99.81 1.00 1.00 r p2
-130.87 104.14 1.00 1.00 r p2
-140.47 100.53 1.00 1.00 r p2
-140.00 98.63 1.00 1.00 r p2
-133.07 101.45 1.00 1.00 r p2
-128.72 104.06 1.00 1.00 r p2
-134.23 110.76 1.00 1.00 r p2
-131.82 105.72 1.00 1.00 r p2
-131.18 102.53 1.00 1.00 r p2
-127.50 107.38 1.00 1.00 r p2
-129.90 95.50 1.00 1.00 r p2
-134.64 100.51 1.00 1.00 r p2
-130.82 104.71 1.00 1.00 r p2
-131.28 103.41 1.00 1.00 r p2
-139.36 103.65 1.00 1.00 r p2
-140.25 104.49 1.00 1.00 r p2
-140.80 101.76 1.00 1.00 r p2
-133.36 96.82 1.00 1.00 r p2
-133.79 100.28 1.00 1.00 r p2
-133.31 102.22 1.00 1.00 r p2
-126.94 108.87 1.00 1.00 r p2
-133.32 105.63 1.00 1.00 r p2
-133.76 103.23 1.00 1.00 r p2
-129.83 100.24 1.00 1.00 r p2
-134.72 95.69 1.00 1.00 r p2
-128.37 96.65 1.00 1.00 r p2
-129.15 102.36 1.00 1.00 r p2
-125.95 97.62 1.00 1.00 r p2
-136.37 100.23 1.00 1.00 r p2
-131.75 103.68 1.00 1.00 r p2
-137.11 104.78 1.00 1.00 r p2
-139.61 100.39 1.00 1.00 r p2
-126.90 103.60 1.00 1.00 r p2
-131.21 108.15 1.00 1.00 r p2
-133.77 105.06 1.00 1.00 r p2
-128.74 103.64 1.00 1.00 r p2
-125.81 99.47 1.00 1.00 r p2
-130.71 106.78 1.00 1.00 r p2
-135.96 108.48 1.00 1.00 r p2
-136.52 97.71 1.00 1.00 r p2
-132.47 96.85 1.00 1.00 r p2
-129.28 109.87 1.00 1.00 r p2
-138.79 99.27 1.00 1.00 r p2
-133.99 105.53 1.00 1.00 r p2
-134.99 98.87 1.00 1.00 r p2
-129.42 103.78 1.00 1.00 r p2
-128.35 103.30 1.00 1.00 r p2
-137.08 104.55 1.00 1.00 r p2
-133.59 101.46 1.00 1.00 r p2
-129.94 98.24 1.00 1.00 r p2
-129.63 109.37 1.00 1.00 r p2
-131.76 104.87 1.00 1.00 r p2
-133.66 97.28 1.00 1.00 r p2
-134.92 108.27 1.00 1.00 r p2
-136.14 107.46 1.00 1.00 r p2
-127.79 99.41 1.00 1.00 r p2
-139.97 107.70 1.00 1.00 r p2
-130.97 101.40 1.00 1.00 r p2
-140.15 95.81 1.00 1.00 r p2
-133.18 104.41 1.00 1.00 r p2
-125.71 103.67 1.00 1.00 r p2
-131.31 100.41 1.00 1.00 r p2
-128.61 104.00 1.00 1.00 r p2
-133.21 101.80 1.00 1.00 r p2
-134.39 100.81 1.00 1.00 r p2
-133.42 94.30 1.00 1.00 r p2
-134.53 103.20 1.00 1.00 r p2
-134.10 103.44 1.00 1.00 r p2
-134.41 105.17 1.00 1.00 r p2
-130.66 102.45 1.00 1.00 r p2
-135.92 104.95 1.00 1.00 r p2
-130.85 102.25 1.00 1.00 r p2
-134.65 101.92 1.00 1.00 r p2
-134.12 100.35 1.00 1.00 r p2
-141.48 98.24 1.00 1.00 r p2
-134.69 107.77 1.00 1.00 r p2
-145.01 103.06 1.00 1.00 r p2
-133.25 99.49 1.00 1.00 r p2
-126.55 108.45 1.00 1.00 r p2
-133.44 101.95 1.00 1.00 r p2
-131.07 102.66 1.00 1.00 r p2
-120.49 103.32 1.00 1.00 r p2
-133.64 107.68 1.00 1.00 r p2
-137.89 102.81 1.00 1.00 r p2
-133.05 103.29 1.00 1.00 r p2
-131.13 97.81 1.00 1.00 r p2
-138.44 101.07 1.00 1.00 r p2
-143.57 100.61 1.00 1.00 r p2
-127.82 100.95 1.00 1.00 r p2
-135.83 100.10 1.00 1.00 r p2
-138.59 101.93 1.00 1.00 r p2
-127.09 97.42 1.00 1.00 r p2
-129.36 99.71 1.00 1.00 r p2
-131.42 99.62 1.00 1.00 r p2
-138.68 97.94 1.00 1.00 r p2
-136.49 99.99 1.00 1.00 r p2
-133.87 102.46 1.00 1.00 r p2
-125.85 100.12 1.00 1.00 r p2
-136.55 102.98 1.00 1.00 r p2
-132.80 102.45 1.00 1.00 r p2
-133.07 95.34 1.00 1.00 r p2
-125.40 106.43 1.00 1.00 r p2
-133.70 102.61 1.00 1.00 r p2
-129.83 107.34 1.00 1.00 r p2
-132.56 104.33 1.00 1.00 r p2
-130.44 105.21 1.00 1.00 r p2
-137.34 107.11 1.00 1.00 r p2
-127.80 99.94 1.00 1.00 r p2
-131.03 104.39 1.00 1.00 r p2
-135.62 99.37 1.00 1.00 r p2
-136.44 97.46 1.00 1.00 r p2
-131.15 104.45 1.00 1.00 r p2
-132.68 100.75 1.00 1.00 r p2
-134.20 106.15 1.00 1.00 r p2
-132.46 99.36 1.00 1.00 r p2
-136.65 99.52 1.00 1.00 r p2
-138.46 97.39 1.00 1.00 r p2
-137.49 97.89 1.00 1.00 r p2
-134.14 100.99 1.00 1.00 r p2
-131.44 97.13 1.00 1.00 r p2
-136.79 103.81 1.00 1.00 r p2
-131.42 98.13 1.00 1.00 r p2
-133.15 106.71 1.00 1.00 r p2
-132.84 102.04 1.00 1.00 r p2
-130.39 106.80 1.00 1.00 r p2
-126.16 99.23 1.00 1.00 r p2
-137.46 100.99 1.00 1.00 r p2
-126.05 101.55 1.00 1.00 r p2
-132.90 109.54 1.00 1.00 r p2
-126.32 101.78 1.00 1.00 r p2
-134.93 105.52 1.00 1.00 r p2
-140.34 96.15 1.00 1.00 r p2
-138.31 99.05 1.00 1.00 r p2
-132.59 98.37 1.00 1.00 r p2
-134.35 98.36 1.00 1.00 r p2
-136.44 103.03 1.00 1.00 r p2
-133.78 105.08 1.00 1.00 r p2
-129.05 102.47 1.00 1.00 r p2
-130.66 100.66 1.00 1.00 r p2
-133.69 106.47 1.00 1.00 r p2
-131.80 103.89 1.00 1.00 r p2
-125.97 101.82 1.00 1.00 r p2
-131.48 97.98 1.00 1.00 r p2
-135.89 99.07 1.00 1.00 r p2
-131.23 102.79 1.00 1.00 r p2
-128.61 99.09 1.00 1.00 r p2
-127.87 100.01 1.00 1.00 r p2
-134.55 95.31 1.00 1.00 r p2
-133.14 96.91 1.00 1.00 r p2
-130.20 100.99 1.00 1.00 r p2
-131.75 106.66 1.00 1.00 r p2
-127.62 105.56 1.00 1.00 r p2
-127.08 97.01 1.00 1.00 r p2
-127.93 103.21 1.00 1.00 r p2
-136.64 98.92 1.00 1.00 r p2
-133.47 98.30 1.00 1.00 r p2
-131.68 105.04 1.00 1.00 r p2
-139.41 105.17 1.00 1.00 r p2
-140.62 106.44 1.00 1.00 r p2
-129.50 102.47 1.00 1.00 r p2
-132.29 104.58 1.00 1.00 r p2
-125.80 95.73 1.00 1.00 r p2
-137.66 101.21 1.00 1.00 r p2
-134.37 101.12 1.00 1.00 r p2
-137.71 102.82 1.00 1.00 r p2
-134.50 98.75 1.00 1.00 r p2
-137.75 104.24 1.00 1.00 r p2
-131.23 105.07 1.00 1.00 r p2
-139.85 98.36 1.00 1.00 r p2
-135.01 108.39 1.00 1.00 r p2
-134.66 102.47 1.00 1.00 r p2
-140.63 107.34 1.00 1.00 r p2
-127.37 96.76 1.00 1.00 r p2
-129.46 100.67 1.00 1.00 r p2
-124.13 100.16 1.00 1.00 r p2
-128.22 104.82 1.00 1.00 r p2
-137.57 106.75 1.00 1.00 r p2
-135.70 106.93 1.00 1.00 r p2
-130.42 103.44 1.00 1.00 r p2
-128.50 99.27 1.00 1.00 r p2
-133.22 103.46 1.00 1.00 r p2
-136.18 102.33 1.00 1.00 r p2
-129.86 92.37 1.00 1.00 r p2
-134.46 109.53 1.00 1.00 r p2
-130.54 110.38 1.00 1.00 r p2
-136.58 93.72 1.00 1.00 r p2
-129.84 98.72 1.00 1.00 r p2
-131.99 103.22 1.00 1.00 r p2
-139.79 101.93 1.00 1.00 r p2
-133.59 104.60 1.00 1.00 r p2
-134.14 100.89 1.00 1.00 r p2
-137.90 98.64 1.00 1.00 r p2
-130.86 99.99 1.00 1.00 r p2
-137.56 105.96 1.00 1.00 r p2
-134.13 101.40 1.00 1.00 r p2
-135.25 112.17 1.00 1.00 r p2
-132.89 102.29 1.00 1.00 r p2
-141.91 102.52 1.00 1.00 r p2
-131.10 106.32 1.00 1.00 r p2
-128.45 106.17 1.00 1.00 r p2
-138.90 103.65 1.00 1.00 r p2
-137.82 98.55 1.00 1.00 r p2
-133.96 96.44 1.00 1.00 r p2
-129.87 104.07 1.00 1.00 r p2
-131.38 98.10 1.00 1.00 r p2
-132.85 97.85 1.00 1.00 r p2
-129.57 106.50 1.00 1.00 r p2
-130.59 106.68 1.00 1.00 r p2
-127.91 104.36 1.00 1.00 r p2
-137.09 108.22 1.00 1.00 r p2
-130.39 106.70 1.00 1.00 r p2
-135.75 104.55 1.00 1.00 r p2
-134.14 100.38 1.00 1.00 r p2
-137.08 102.13 1.00 1.00 r p2
-140.08 105.17 1.00 1.00 r p2
-137.45 101.01 1.00 1.00 r p2
-139.72 105.47 1.00 1.00 r p2
-135.63 104.08 1.00 1.00 r p2
-131.62 107.24 1.00 1.00 r p2
-137.66 109.64 1.00 1.00 r p2
-128.78 107.45 1.00 1.00 r p2
-132.17 104.66 1.00 1.00 r p2
-133.96 104.14 1.00 1.00 r p2
-141.72 105.61 1.00 1.00 r p2
-132.77 102.61 1.00 1.00 r p2
-128.89 96.81 1.00 1.00 r p2
-134.79 100.78 1.00 1.00 r p2
-124.19 101.72 1.00 1.00 r p2
-131.78 102.97 1.00 1.00 r p2
-130.15 99.83 1.00 1.00 r p2
-131.96 100.37 1.00 1.00 r p2
-127.44 104.24 1.00 1.00 r p2
-136.60 97.53 1.00 1.00 r p2
-133.68 107.05 1.00 1.00 r p2
-139.96 101.34 1.00 1.00 r p2
-139.58 102.81 1.00 1.00 r p2
-136.53 103.12 1.00 1.00 r p2
-133.84 107.39 1.00 1.00 r p2
-129.93 103.82 1.00 1.00 r p2
-137.20 99.42 1.00 1.00 r p2
-138.35 101.66 1.00 1.00 r p2
-134.33 96.57 1.00 1.00 r p2
-132.24 98.23 1.00 1.00 r p2
-132.19 105.08 1.00 1.00 r p2
-128.69 104.40 1.00 1.00 r p2
-132.99 101.16 1.00 1.00 r p2
-137.93 106.12 1.00 1.00 r p2
-134.04 99.37 1.00 1.00 r p2
-129.23 97.16 1.00 1.00 r p2
-127.45 108.99 1.00 1.00 r p2
-134.10 102.89 1.00 1.00 r p2
-128.87 103.13 1.00 1.00 r p2
-137.66 104.83 1.00 1.00 r p2
-129.84 98.94 1.00 1.00 r p2
-134.47 102.49 1.00 1.00 r p2
-131.40 99.81 1.00 1.00 r p2
-137.43 101.03 1.00 1.00 r p2
-127.09 99.67 1.00 1.00 r p2
-125.01 103.44 1.00 1.00 r p2
-129.89 106.71 1.00 1.00 r p2
-134.84 100.65 1.00 1.00 r p2
-135.67 105.19 1.00 1.00 r p2
-133.74 112.02 1.00 1.00 r p2
-128.52 101.70 1.00 1.00 r p2
-129.32 100.11 1.00 1.00 r p2
-132.07 96.57 1.00 1.00 r p2
-129.87 102.10 1.00 1.00 r p2
-129.73 104.39 1.00 1.00 r p2
-132.16 100.13 1.00 1.00 r p2
-143.49 99.54 1.00 1.00 r p2
-132.72 96.99 1.00 1.00 r p2
-123.00 104.42 1.00 1.00 r p2
-138.57 99.68 1.00 1.00 r p2
-134.93 108.27 1.00 1.00 r p2
-138.56 105.91 1.00 1.00 r p2
-134.76 107.95 1.00 1.00 r p2
-138.68 106.28 1.00 1.00 r p2
-131.39 104.44 1.00 1.00 r p2
-124.46 102.43 1.00 1.00 r p2
-129.53 98.94 1.00 1.00 r p2
-126.41 97.13 1.00 1.00 r p2
-129.64 99.95 1.00 1.00 r p2
-129.95 96.69 1.00 1.00 r p2
-132.46 102.09 1.00 1.00 r p2
-132.35 99.04 1.00 1.00 r p2
-132.43 100.67 1.00 1.00 r p2
-134.73 105.34 1.00 1.00 r p2
-125.76 101.90 1.00 1.00 r p2
-141.62 102.27 1.00 1.00 r p2
-128.95 102.74 1.00 1.00 r p2
-134.52 102.69 1.00 1.00 r p2
-132.67 104.58 1.00 1.00 r p2
-125.19 104.69 1.00 1.00 r p2
-131.20 109.27 1.00 1.00 r p2
-135.56 107.75 1.00 1.00 r p2
-132.40 102.12 1.00 1.00 r p2
-133.72 100.07 1.00 1.00 r p2
-135.67 103.65 1.00 1.00 r p2
-133.99 98.40 1.00 1.00 r p2
-130.62 108.99 1.00 1.00 r p2
-126.43 103.66 1.00 1.00 r p2
-138.66 97.55 1.00 1.00 r p2
-131.47 102.37 1.00 1.00 r p2
-130.88 105.53 1.00 1.00 r p2
-130.19 108.40 1.00 1.00 r p2
-136.58 108.70 1.00 1.00 r p2
-128.87 97.61 1.00 1.00 r p2
-135.18 99.15 1.00 1.00 r p2
-136.22 110.18 1.00 1.00 r p2
-136.13 97.43 1.00 1.00 r p2
-151.02 105.29 1.00 1.00 r p2
-129.79 98.92 1.00 1.00 r p2
-124.91 101.44 1.00 1.00 r p2
-128.72 106.77 1.00 1.00 r p2
-138.55 101.88 1.00 1.00 r p2
-136.00 102.53 1.00 1.00 r p2
-135.90 111.96 1.00 1.00 r p2
-130.70 97.26 1.00 1.00 r p2
-135.83 99.31 1.00 1.00 r p2
-128.43 94.37 1.00 1.00 r p2
-130.52 108.72 1.00 1.00 r p2
-134.64 99.74 1.00 1.00 r p2
-134.90 106.98 1.00 1.00 r p2
-135.95 101.56 1.00 1.00 r p2
-132.37 105.02 1.00 1.00 r p2
-133.19 100.18 1.00 1.00 r p2
-137.81 100.72 1.00 1.00 r p2
-132.37 100.44 1.00 1.00 r p2
-130.88 105.19 1.00 1.00 r p2
-134.78 101.82 1.00 1.00 r p2
-131.52 103.57 1.00 1.00 r p2
-133.42 102.59 1.00 1.00 r p2
-135.83 98.04 1.00 1.00 r p2
-133.45 99.74 1.00 1.00 r p2
-131.94 104.37 1.00 1.00 r p2
-135.40 101.86 1.00 1.00 r p2
-130.32 102.48 1.00 1.00 r p2
-138.41 98.71 1.00 1.00 r p2
-136.46 103.73 1.00 1.00 r p2
-132.01 105.69 1.00 1.00 r p2
-133.14 105.29 1.00 1.00 r p2
-132.89 97.17 1.00 1.00 r p2
-132.18 94.38 1.00 1.00 r p2
-122.22 102.82 1.00 1.00 r p2
-136.39 101.22 1.00 1.00 r p2
-130.18 107.14 1.00 1.00 r p2
-131.75 97.47 1.00 1.00 r p2
-130.85 99.87 1.00 1.00 r p2
-133.15 109.26 1.00 1.00 r p2
-127.82 93.67 1.00 1.00 r p2
-131.01 109.28 1.00 1.00 r p2
-136.37 104.25 1.00 1.00 r p2
-142.79 94.09 1.00 1.00 r p2
-135.90 95.49 1.00 1.00 r p2
-133.99 96.28 1.00 1.00 r p2
-131.86 99.20 1.00 1.00 r p2
-132.34 97.38 1.00 1.00 r p2
-128.53 102.89 1.00 1.00 r p2
-134.64 98.18 1.00 1.00 r p2
-133.79 100.08 1.00 1.00 r p2
-123.20 99.74 1.00 1.00 r p2
-125.42 96.83 1.00 1.00 r p2
-125.39 107.39 1.00 1.00 r p2
-137.45 103.81 1.00 1.00 r p2
-138.58 103.93 1.00 1.00 r p2
-133.89 102.84 1.00 1.00 r p2
-133.97 99.74 1.00 1.00 r p2
-137.51 103.52 1.00 1.00 r p2
-130.48 103.39 1.00 1.00 r p2
-132.82 107.25 1.00 1.00 r p2
-136.26 98.24 1.00 1.00 r p2
-136.66 94.62 1.00 1.00 r p2
-129.85 101.66 1.00 1.00 r p2
-127.81 103.89 1.00 1.00 r p2
-128.99 101.65 1.00 1.00 r p2
-137.00 103.97 1.00 1.00 r p2
-130.76 102.21 1.00 1.00 r p2
-131.90 99.26 1.00 1.00 r p2
-125.23 99.15 1.00 1.00 r p2
-137.07 101.08 1.00 1.00 r p2
-127.10 102.07 1.00 1.00 r p2
-135.53 97.42 1.00 1.00 r p2
-130.87 104.41 1.00 1.00 r p2
-133.68 95.25 1.00 1.00 r p2
-131.28 106.70 1.00 1.00 r p2
-127.98 103.97 1.00 1.00 r p2
-137.52 100.85 1.00 1.00 r p2
-130.99 107.17 1.00 1.00 r p2
-131.55 104.06 1.00 1.00 r p2
-132.91 105.06 1.00 1.00 r p2
-127.77 98.33 1.00 1.00 r p2
-126.67 101.53 1.00 1.00 r p2
-138.22 108.20 1.00 1.00 r p2
-132.85 103.01 1.00 1.00 r p2
-134.40 98.54 1.00 1.00 r p2
-125.10 101.58 1.00 1.00 r p2
-129.74 96.17 1.00 1.00 r p2
-129.00 99.10 1.00 1.00 r p2
-134.62 102.73 1.00 1.00 r p2
-133.19 100.04 1.00 1.00 r p2
-139.88 100.85 1.00 1.00 r p2
-130.98 100.04 1.00 1.00 r p2
-129.19 100.82 1.00 1.00 r p2
-136.53 101.71 1.00 1.00 r p2
-137.09 107.00 1.00 1.00 r p2
-132.42 98.15 1.00 1.00 r p2
-130.35 101.83 1.00 1.00 r p2
-144.38 99.68 1.00 1.00 r p2
-130.55 105.74 1.00 1.00 r p2
-126.42 102.47 1.00 1.00 r p2
-134.14 95.58 1.00 1.00 r p2
-137.86 104.07 1.00 1.00 r p2
-131.31 107.03 1.00 1.00 r p2
-138.55 104.56 1.00 1.00 r p2
-131.56 98.68 1.00 1.00 r p2
-137.37 106.31 1.00 1.00 r p2
-129.90 102.27 1.00 1.00 r p2
-124.84 113.47 1.00 1.00 r p2
-129.30 98.45 1.00 1.00 r p2
-130.42 103.30 1.00 1.00 r p2
-131.67 101.44 1.00 1.00 r p2
-137.13 98.57 1.00 1.00 r p2
-119.64 100.03 1.00 1.00 r p2
-130.46 98.21 1.00 1.00 r p2
-126.23 105.53 1.00 1.00 r p2
-132.48 108.59 1.00 1.00 r p2
-127.84 103.65 1.00 1.00 r p2
-135.04 101.14 1.00 1.00 r p2
-132.57 104.75 1.00 1.00 r p2
-138.85 101.93 1.00 1.00 r p2
-124.41 100.21 1.00 1.00 r p2
-135.14 104.45 1.00 1.00 r p2
-139.28 103.23 1.00 1.00 r p2
-135.29 98.85 1.00 1.00 r p2
-134.36 105.17 1.00 1.00 r p2
-133.78 104.87 1.00 1.00 r p2
-137.36 106.60 1.00 1.00 r p2
-134.40 106.56 1.00 1.00 r p2
-132.87 99.96 1.00 1.00 r p2
-132.81 95.78 1.00 1.00 r p2
-139.38 99.69 1.00 1.00 r p2
-132.09 100.49 1.00 1.00 r p2
-128.80 102.41 1.00 1.00 r p2
-134.28 103.58 1.00 1.00 r p2
-135.88 96.56 1.00 1.00 r p2
-129.95 107.08 1.00 1.00 r p2
-134.75 104.55 1.00 1.00 r p2
-132.31 99.10 1.00 1.00 r p2
-124.91 104.68 1.00 1.00 r p2
-134.52 102.05 1.00 1.00 r p2
-136.86 108.89 1.00 1.00 r p2
-135.95 95.02 1.00 1.00 r p2
-135.41 103.96 1.00 1.00 r p2
-127.23 103.40 1.00 1.00 r p2
-124.14 102.92 1.00 1.00 r p2
-132.68 96.23 1.00 1.00 r p2
-131.96 105.54 1.00 1.00 r p2
-128.36 103.05 1.00 1.00 r p2
-134.20 106.92 1.00 1.00 r p2
-134.62 98.70 1.00 1.00 r p2
-128.39 98.79 1.00 1.00 r p2
-125.14 99.78 1.00 1.00 r p2
-134.01 103.12 1.00 1.00 r p2
-136.51 97.47 1.00 1.00 r p2
-136.28 99.54 1.00 1.00 r p2
-131.29 104.34 1.00 1.00 r p2
-128.02 100.65 1.00 1.00 r p2
-131.13 104.40 1.00 1.00 r p2
-132.05 106.18 1.00 1.00 r p2
-134.88 111.49 1.00 1.00 r p2
-133.30 101.23 1.00 1.00 r p2
-129.63 101.99 1.00 1.00 r p2
-129.87 96.86 1.00 1.00 r p2
-136.25 102.87 1.00 1.00 r p2
-129.32 103.61 1.00 1.00 r p2
-139.93 97.52 1.00 1.00 r p2
-128.12 103.52 1.00 1.00 r p2
-133.59 108.81 1.00 1.00 r p2
-128.78 99.21 1.00 1.00 r p2
-134.72 107.41 1.00 1.00 r p2
-129.97 103.67 1.00 1.00 r p2
-133.33 102.82 1.00 1.00 r p2
-132.69 103.88 1.00 1.00 r p2
-132.76 104.38 1.00 1.00 r p2
-128.74 106.81 1.00 1.00 r p2
-136.96 93.74 1.00 1.00 r p2
-137.74 108.88 1.00 1.00 r p2
-136.38 104.18 1.00 1.00 r p2
-123.90 97.04 1.00 1.00 r p2
-122.87 97.05 1.00 1.00 r p2
-133.56 101.41 1.00 1.00 r p2
-129.54 97.68 1.00 1.00 r p2
-136.50 96.66 1.00 1.00 r p2
-135.21 106.17 1.00 1.00 r p2
-138.10 106.55 1.00 1.00 r p2
-132.33 96.34 1.00 1.00 r p2
-134.00 99.96 1.00 1.00 r p2
-134.70 101.65 1.00 1.00 r p2
-134.34 102.68 1.00 1.00 r p2
-131.98 102.70 1.00 1.00 r p2
-140.07 101.81 1.00 1.00 r p2
-128.97 107.26 1.00 1.00 r p2
-130.21 108.77 1.00 1.00 r p2
-135.63 101.54 1.00 1.00 r p2
-131.63 98.10 1.00 1.00 r p2
-133.35 104.00 1.00 1.00 r p2
-131.09 102.05 1.00 1.00 r p2
-134.77 107.71 1.00 1.00 r p2
-130.88 102.14 1.00 1.00 r p2
-131.47 105.31 1.00 1.00 r p2
-130.46 96.40 1.00 1.00 r p2
-127.55 100.89 1.00 1.00 r p2
-133.54 97.59 1.00 1.00 r p2
-128.22 110.59 1.00 1.00 r p2
-124.02 105.22 1.00 1.00 r p2
-130.86 112.06 1.00 1.00 r p2
-127.81 103.18 1.00 1.00 r p2
-131.56 103.22 1.00 1.00 r p2
-129.48 103.32 1.00 1.00 r p2
-134.92 101.20 1.00 1.00 r p2
-136.15 100.08 1.00 1.00 r p2
-142.60 92.52 1.00 1.00 r p2
-128.16 111.51 1.00 1.00 r p2
-126.83 103.73 1.00 1.00 r p2
-133.80 100.36 1.00 1.00 r p2
-127.10 104.90 1.00 1.00 r p2
-134.69 98.51 1.00 1.00 r p2
-130.75 99.97 1.00 1.00 r p2
-135.68 111.55 1.00 1.00 r p2
-134.89 93.74 1.00 1.00 r p2
-120.38 103.57 1.00 1.00 r p2
-125.55 103.30 1.00 1.00 r p2
-140.34 100.27 1.00 1.00 r p2
-138.55 101.83 1.00 1.00 r p2
-137.76 111.94 1.00 1.00 r p2
-132.18 106.91 1.00 1.00 r p2
-136.96 103.88 1.00 1.00 r p2
-135.49 101.31 1.00 1.00 r p2
-138.32 104.90 1.00 1.00 r p2
-133.80 103.72 1.00 1.00 r p2
-127.89 107.77 1.00 1.00 r p2
-130.55 102.80 1.00 1.00 r p2
-133.94 105.09 1.00 1.00 r p2
-131.63 103.00 1.00 1.00 r p2
-134.54 106.98 1.00 1.00 r p2
-131.90 101.27 1.00 1.00 r p2
-141.93 104.45 1.00 1.00 r p2
-132.98 102.62 1.00 1.00 r p2
-133.18 98.27 1.00 1.00 r p2
-138.33 104.87 1.00 1.00 r p2
-135.38 106.44 1.00 1.00 r p2
-133.57 108.01 1.00 1.00 r p2
-135.10 102.42 1.00 1.00 r p2
-126.42 100.07 1.00 1.00 r p2
-131.26 109.13 1.00 1.00 r p2
-126.11 103.24 1.00 1.00 r p2
-129.62 99.52 1.00 1.00 r p2
-129.12 106.12 1.00 1.00 r p2
-127.83 96.76 1.00 1.00 r p2
-138.63 105.59 1.00 1.00 r p2
-135.26 100.33 1.00 1.00 r p2
-127.72 108.01 1.00 1.00 r p2
-134.62 105.70 1.00 1.00 r p2
-133.85 105.74 1.00 1.00 r p2
-130.94 100.10 1.00 1.00 r p2
-127.81 97.10 1.00 1.00 r p2
-125.01 108.70 1.00 1.00 r p2
-132.44 104.23 1.00 1.00 r p2
-129.56 111.13 1.00 1.00 r p2
-135.01 100.86 1.00 1.00 r p2
-127.65 99.59 1.00 1.00 r p2
-123.94 92.96 1.00 1.00 r p2
-135.01 94.67 1.00 1.00 r p2
-131.20 96.73 1.00 1.00 r p2
-133.86 107.12 1.00 1.00 r p2
-136.83 108.92 1.00 1.00 r p2
-134.64 102.88 1.00 1.00 r p2
-132.53 105.32 1.00 1.00 r p2
-135.25 102.59 1.00 1.00 r p2
-129.95 104.47 1.00 1.00 r p2
-135.16 99.36 1.00 1.00 r p2
-137.24 102.73 1.00 1.00 r p2
-134.39 111.10 1.00 1.00 r p2
-141.62 97.47 1.00 1.00 r p2
-122.48 90.30 1.00 1.00 r p2
-133.14 98.07 1.00 1.00 r p2
-138.37 104.37 1.00 1.00 r p2
-134.65 101.88 1.00 1.00 r p2
-129.82 96.82 1.00 1.00 r p2
-124.79 104.08 1.00 1.00 r p2
-134.65 101.00 1.00 1.00 r p2
-125.39 106.83 1.00 1.00 r p2
-142.70 98.75 1.00 1.00 r p2
-129.59 105.40 1.00 1.00 r p2
-139.99 105.22 1.00 1.00 r p2
-130.65 107.72 1.00 1.00 r p2
-135.79 100.25 1.00 1.00 r p2
-134.78 102.44 1.00 1.00 r p2
-131.75 105.19 1.00 1.00 r p2
-126.09 108.51 1.00 1.00 r p2
-137.38 100.45 1.00 1.00 r p2
-133.01 98.28 1.00 1.00 r p2
-134.21 106.78 1.00 1.00 r p2
-133.98 99.36 1.00 1.00 r p2
-138.24 111.93 1.00 1.00 r p2
-138.83 104.15 1.00 1.00 r p2
-128.90 98.87 1.00 1.00 r p2
-137.51 100.48 1.00 1.00 r p2
-131.04 104.06 1.00 1.00 r p2
-132.48 103.00 1.00 1.00 r p2
-131.51 108.29 1.00 1.00 r p2
-136.74 103.81 1.00 1.00 r p2
-140.32 104.95 1.00 1.00 r p2
-131.24 102.87 1.00 1.00 r p2
-137.38 100.66 1.00 1.00 r p2
-140.63 110.05 1.00 1.00 r p2
-133.53 96.17 1.00 1.00 r p2
-131.27 94.23 1.00 1.00 r p2
-125.84 107.64 1.00 1.00 r p2
-127.60 101.60 1.00 1.00 r p2
-133.15 104.61 1.00 1.00 r p2
-127.88 97.67 1.00 1.00 r p2
-137.53 105.07 1.00 1.00 r p2
-136.41 107.21 1.00 1.00 r p2
-135.38 97.42 1.00 1.00 r p2
-132.31 105.80 1.00 1.00 r p2
-128.56 102.25 1.00 1.00 r p2
-130.48 108.52 1.00 1.00 r p2
-138.67 103.49 1.00 1.00 r p2
-133.42 104.52 1.00 1.00 r p2
-130.35 104.50 1.00 1.00 r p2
-134.19 105.14 1.00 1.00 r p2
-130.25 99.37 1.00 1.00 r p2
-130.91 103.09 1.00 1.00 r p2
-136.35 99.55 1.00 1.00 r p2
-138.47 102.56 1.00 1.00 r p2
-129.77 101.12 1.00 1.00 r p2
-139.31 108.81 1.00 1.00 r p2
-135.91 93.23 1.00 1.00 r p2
-139.41 98.08 1.00 1.00 r p2
-134.65 105.26 1.00 1.00 r p2
-140.70 104.69 1.00 1.00 r p2
-136.30 101.39 1.00 1.00 r p2
-133.38 104.91 1.00 1.00 r p2
-137.30 102.72 1.00 1.00 r p2
-125.50 96.92 1.00 1.00 r p2
-125.94 107.05 1.00 1.00 r p2
-133.97 101.28 1.00 1.00 r p2
-123.47 105.46 1.00 1.00 r p2
-139.99 103.72 1.00 1.00 r p2
-131.61 102.71 1.00 1.00 r p2
-129.41 90.32 1.00 1.00 r p2
-127.39 105.77 1.00 1.00 r p2
-129.42 98.48 1.00 1.00 r p2
-131.44 102.47 1.00 1.00 r p2
-136.80 100.83 1.00 1.00 r p2
-131.28 98.46 1.00 1.00 r p2
-135.83 103.72 1.00 1.00 r p2
-129.10 105.58 1.00 1.00 r p2
-127.39 101.84 1.00 1.00 r p2
-124.74 97.99 1.00 1.00 r p2
-134.73 105.79 1.00 1.00 r p2
-135.22 101.69 1.00 1.00 r p2
-138.04 106.81 1.00 1.00 r p2
-135.85 103.84 1.00 1.00 r p2
-126.73 106.12 1.00 1.00 r p2
-121.84 93.74 1.00 1.00 r p2
-133.76 99.73 1.00 1.00 r p2
-133.00 107.80 1.00 1.00 r p2
-133.50 106.01 1.00 1.00 r p2
-134.56 102.75 1.00 1.00 r p2
-133.63 106.88 1.00 1.00 r p2
-134.73 104.07 1.00 1.00 r p2
-132.72 104.43 1.00 1.00 r p2
-135.27 98.03 1.00 1.00 r p2
-133.74 101.21 1.00 1.00 r p2
-134.08 101.90 1.00 1.00 r p2
-136.40 99.62 1.00 1.00 r p2
-136.46 92.31 1.00 1.00 r p2
-132.08 104.13 1.00 1.00 r p2
-127.46 109.03 1.00 1.00 r p2
-131.57 97.99 1.00 1.00 r p2
-129.36 100.59 1.00 1.00 r p2
-133.11 102.46 1.00 1.00 r p2
-137.40 106.73 1.00 1.00 r p2
-134.08 108.55 1.00 1.00 r p2
-126.11 99.34 1.00 1.00 r p2
-129.23 99.09 1.00 1.00 r p2
-126.45 102.49 1.00 1.00 r p2
-125.86 102.92 1.00 1.00 r p2
-138.90 103.33 1.00 1.00 r p2
-133.52 101.33 1.00 1.00 r p2
-130.20 102.92 1.00 1.00 r p2
-134.22 101.49 1.00 1.00 r p2
-133.81 99.94 1.00 1.00 r p2
-127.27 100.78 1.00 1.00 r p2
-128.66 99.28 1.00 1.00 r p2
-132.86 101.40 1.00 1.00 r p2
-131.41 110.86 1.00 1.00 r p2
-130.28 100.12 1.00 1.00 r p2
-138.02 93.91 1.00 1.00 r p2
-125.20 98.51 1.00 1.00 r p2
-126.18 105.92 1.00 1.00 r p2
-130.77 102.35 1.00 1.00 r p2
-131.81 98.70 1.00 1.00 r p2
-126.61 101.96 1.00 1.00 r p2
-134.54 105.85 1.00 1.00 r p2
-142.24 96.56 1.00 1.00 r p2
-136.58 103.89 1.00 1.00 r p2
-128.45 95.00 1.00 1.00 r p2
-128.27 109.61 1.00 1.00 r p2
-134.07 103.86 1.00 1.00 r p2
-138.98 103.52 1.00 1.00 r p2
-131.80 99.74 1.00 1.00 r p2
-129.95 100.70 1.00 1.00 r p2
-129.70 98.86 1.00 1.00 r p2
-132.69 102.78 1.00 1.00 r p2
-131.80 98.94 1.00 1.00 r p2
-132.07 102.59 1.00 1.00 r p2
-137.91 99.81 1.00 1.00 r p2
-132.84 105.58 1.00 1.00 r p2
-133.60 101.56 1.00 1.00 r p2
-133.86 101.99 1.00 1.00 r p2
-129.74 103.04 1.00 1.00 r p2
-130.45 102.74 1.00 1.00 r p2
-132.08 106.56 1.00 1.00 r p2
-134.16 103.30 1.00 1.00 r p2
-128.81 108.14 1.00 1.00 r p2
-133.84 102.04 1.00 1.00 r p2
-128.51 91.32 1.00 1.00 r p2
-128.68 108.31 1.00 1.00 r p2
-134.20 100.26 1.00 1.00 r p2
-132.38 96.61 1.00 1.00 r p2
-131.12 102.42 1.00 1.00 r p2
-133.94 103.67 1.00 1.00 r p2
-131.38 99.39 1.00 1.00 r p2
-137.97 99.59 1.00 1.00 r p2
-132.95 97.00 1.00 1.00 r p2
-132.28 104.69 1.00 1.00 r p2
-128.50 99.05 1.00 1.00 r p2
-140.16 105.00 1.00 1.00 r p2
-141.88 102.54 1.00 1.00 r p2
-135.51 99.50 1.00 1.00 r p2
-126.09 102.01 1.00 1.00 r p2
-134.90 109.28 1.00 1.00 r p2
-130.76 102.23 1.00 1.00 r p2
-133.40 103.44 1.00 1.00 r p2
-138.77 103.61 1.00 1.00 r p2
-135.77 98.19 1.00 1.00 r p2
-129.69 100.30 1.00 1.00 r p2
-136.91 108.87 1.00 1.00 r p2
-130.89 90.97 1.00 1.00 r p2
-134.52 105.57 1.00 1.00 r p2
-128.49 100.64 1.00 1.00 r p2
-131.05 102.42 1.00 1.00 r p2
-128.84 92.75 1.00 1.00 r p2
-126.02 97.41 1.00 1.00 r p2
-137.52 97.59 1.00 1.00 r p2
-141.48 102.49 1.00 1.00 r p2
-132.51 101.96 1.00 1.00 r p2
-129.22 103.94 1.00 1.00 r p2
-141.41 102.77 1.00 1.00 r p2
-128.00 107.74 1.00 1.00 r p2
-135.78 97.88 1.00 1.00 r p2
-129.35 102.88 1.00 1.00 r p2
-135.68 99.55 1.00 1.00 r p2
-132.28 103.67 1.00 1.00 r p2
-133.24 99.13 1.00 1.00 r p2
-128.10 106.09 1.00 1.00 r p2
-137.90 99.91 1.00 1.00 r p2
-136.36 104.24 1.00 1.00 r p2
-134.89 100.27 1.00 1.00 r p2
-127.82 99.11 1.00 1.00 r p2
-129.06 101.39 1.00 1.00 r p2
-133.15 103.53 1.00 1.00 r p2
-129.24 101.89 1.00 1.00 r p2
-136.53 103.84 1.00 1.00 r p2
-129.70 106.55 1.00 1.00 r p2
-134.82 99.09 1.00 1.00 r p2
-134.35 95.93 1.00 1.00 r p2
-136.85 103.78 1.00 1.00 r p2
-131.43 106.19 1.00 1.00 r p2
-130.98 103.98 1.00 1.00 r p2
-132.75 102.13 1.00 1.00 r p2
-134.10 100.12 1.00 1.00 r p2
-128.78 97.04 1.00 1.00 r p2
-131.83 103.08 1.00 1.00 r p2
-124.94 95.35 1.00 1.00 r p2
-126.67 100.80 1.00 1.00 r p2
-129.45 100.84 1.00 1.00 r p2
-126.88 101.63 1.00 1.00 r p2
-133.89 107.62 1.00 1.00 r p2
-135.39 100.15 1.00 1.00 r p2
-141.14 100.54 1.00 1.00 r p2
-133.59 108.65 1.00 1.00 r p2
-132.25 104.42 1.00 1.00 r p2
-132.07 101.69 1.00 1.00 r p2
-131.59 110.58 1.00 1.00 r p2
-132.63 101.26 1.00 1.00 r p2
-131.38 101.78 1.00 1.00 r p2
-134.03 110.83 1.00 1.00 r p2
-139.63 101.26 1.00 1.00 r p2
-138.93 100.76 1.00 1.00 r p2
-131.32 106.72 1.00 1.00 r p2
-137.55 108.31 1.00 1.00 r p2
-133.88 107.32 1.00 1.00 r p2
-126.28 91.48 1.00 1.00 r p2
-133.00 99.22 1.00 1.00 r p2
-128.55 100.97 1.00 1.00 r p2
-133.45 100.32 1.00 1.00 r p2
-127.17 99.52 1.00 1.00 r p2
-130.04 102.20 1.00 1.00 r p2
-132.30 104.66 1.00 1.00 r p2
-137.35 94.44 1.00 1.00 r p2
-131.56 109.54 1.00 1.00 r p2
-136.62 104.72 1.00 1.00 r p2
-130.15 98.44 1.00 1.00 r p2
-139.84 101.93 1.00 1.00 r p2
-136.59 105.65 1.00 1.00 r p2
-134.56 108.51 1.00 1.00 r p2
-136.01 100.58 1.00 1.00 r p2
-127.98 100.04 1.00 1.00 r p2
-130.24 97.32 1.00 1.00 r p2
-138.40 104.87 1.00 1.00 r p2
-128.17 107.70 1.00 1.00 r p2
-129.33 95.68 1.00 1.00 r p2
-131.47 101.88 1.00 1.00 r p2
-132.79 104.36 1.00 1.00 r p2
-130.03 105.24 1.00 1.00 r p2
-126.01 105.04 1.00 1.00 r p2
-138.04 98.19 1.00 1.00 r p2
-139.80 101.05 1.00 1.00 r p2
-130.59 109.10 1.00 1.00 r p2
-130.48 104.24 1.00 1.00 r p2
-129.02 104.69 1.00 1.00 r p2
-137.86 106.23 1.00 1.00 r p2
-126.18 108.56 1.00 1.00 r p2
-131.86 102.66 1.00 1.00 r p2
-129.65 107.39 1.00 1.00 r p2
-134.51 100.27 1.00 1.00 r p2
-130.48 103.40 1.00 1.00 r p2
-134.71 98.93 1.00 1.00 r p2
-137.59 111.15 1.00 1.00 r p2
-133.17 104.65 1.00 1.00 r p2
-137.86 102.24 1.00 1.00 r p2
-139.49 107.02 1.00 1.00 r p2
-132.51 105.41 1.00 1.00 r p2
-135.46 100.97 1.00 1.00 r p2
-131.25 105.26 1.00 1.00 r p2
-131.97 111.14 1.00 1.00 r p2
-129.64 104.39 1.00 1.00 r p2
-130.94 99.53 1.00 1.00 r p2
-135.93 103.41 1.00 1.00 r p2
-132.07 100.64 1.00 1.00 r p2
-136.16 106.99 1.00 1.00 r p2
-132.76 103.18 1.00 1.00 r p2
-125.96 101.10 1.00 1.00 r p2
-126.25 102.01 1.00 1.00 r p2
-130.40 104.21 1.00 1.00 r p2
-134.98 109.22 1.00 1.00 r p2
-131.40 104.08 1.00 1.00 r p2
-134.04 105.91 1.00 1.00 r p2
-136.37 100.27 1.00 1.00 r p2
-133.37 96.16 1.00 1.00 r p2
-137.05 105.26 1.00 1.00 r p2
-132.12 96.88 1.00 1.00 r p2
-136.72 106.30 1.00 1.00 r p2
-133.72 102.09 1.00 1.00 r p2
-132.61 101.65 1.00 1.00 r p2
-133.81 101.43 1.00 1.00 r p2
-131.21 109.20 1.00 1.00 r p2
-128.11 97.21 1.00 1.00 r p2
-138.51 99.83 1.00 1.00 r p2
-129.66 106.09 1.00 1.00 r p2
-132.73 105.38 1.00 1.00 r p2
-135.15 100.60 1.00 1.00 r p2
-132.28 103.37 1.00 1.00 r p2
-133.88 100.31 1.00 1.00 r p2
-137.14 104.05 1.00 1.00 r p2
-129.68 107.86 1.00 1.00 r p2
-133.99 105.66 1.00 1.00 r p2
-132.09 105.45 1.00 1.00 r p2
-127.58 107.59 1.00 1.00 r p2
-137.78 103.08 1.00 1.00 r p2
-133.83 100.92 1.00 1.00 r p2
-139.70 110.91 1.00 1.00 r p2
-132.99 103.61 1.00 1.00 r p2
-129.19 100.44 1.00 1.00 r p2
-132.76 109.32 1.00 1.00 r p2
-131.43 104.52 1.00 1.00 r p2
-128.22 99.66 1.00 1.00 r p2
-129.04 97.89 1.00 1.00 r p2
-131.80 101.44 1.00 1.00 r p2
-126.34 99.15 1.00 1.00 r p2
-137.30 100.51 1.00 1.00 r p2
-135.92 109.22 1.00 1.00 r p2
-134.80 101.41 1.00 1.00 r p2
-133.96 104.91 1.00 1.00 r p2
-132.37 104.20 1.00 1.00 r p2
-130.90 100.28 1.00 1.00 r p2
-132.64 99.67 1.00 1.00 r p2
-135.03 96.50 1.00 1.00 r p2
-131.13 105.64 1.00 1.00 r p2
-123.75 102.30 1.00 1.00 r p2
-136.09 103.50 1.00 1.00 r p2
-136.63 100.27 1.00 1.00 r p2
-138.04 98.04 1.00 1.00 r p2
-129.30 103.97 1.00 1.00 r p2
-127.21 99.76 1.00 1.00 r p2
-140.06 112.21 1.00 1.00 r p2
-132.95 100.07 1.00 1.00 r p2
-127.18 95.91 1.00 1.00 r p2
-130.53 105.32 1.00 1.00 r p2
-136.93 102.60 1.00 1.00 r p2
-133.93 100.94 1.00 1.00 r p2
-126.04 99.87 1.00 1.00 r p2
-128.34 101.64 1.00 1.00 r p2
-130.98 111.10 1.00 1.00 r p2
-133.57 99.84 1.00 1.00 r p2
-125.27 105.23 1.00 1.00 r p2
-130.40 102.10 1.00 1.00 r p2
-130.90 104.01 1.00 1.00 r p2
-124.64 106.67 1.00 1.00 r p2
-131.94 107.99 1.00 1.00 r p2
-134.48 105.10 1.00 1.00 r p2
-140.66 100.55 1.00 1.00 r p2
-133.63 93.26 1.00 1.00 r p2
-134.58 98.38 1.00 1.00 r p2
-128.27 102.07 1.00 1.00 r p2
-127.02 101.58 1.00 1.00 r p2
-133.23 103.88 1.00 1.00 r p2
-133.32 104.99 1.00 1.00 r p2
-138.44 101.01 1.00 1.00 r p2
-123.67 101.50 1.00 1.00 r p2
-124.35 101.01 1.00 1.00 r p2
-132.19 102.56 1.00 1.00 r p2
-ep
-%%Trailer
-%%Pages: 1
-%%EOF
diff --git a/inst/doc/figs/ternary.pdf b/inst/doc/figs/ternary.pdf
deleted file mode 100644
index d77db3a..0000000
--- a/inst/doc/figs/ternary.pdf
+++ /dev/null
@@ -1,2220 +0,0 @@
-%PDF-1.1
-%���ρ�
-1 0 obj
-<<
-/CreationDate (D:20040203162845)
-/ModDate (D:20040203162845)
-/Title (R Graphics Output)
-/Producer (R 1.8.1)
-/Creator (R)
->>
-endobj
-2 0 obj
-<<
-/Type /Catalog
-/Pages 3 0 R
->>
-endobj
-4 0 obj
-<<
-/ProcSet [/PDF /Text]
-/Font << /F1 6 0 R /F2 7 0 R /F3 8 0 R /F4 9 0 R /F5 10 0 R /F6 11 0 R >>
->>
-endobj
-5 0 obj
-<<
-/Type /Encoding
-/BaseEncoding /PDFDocEncoding
-/Differences [ 45/minus 96/quoteleft
-144/dotlessi /grave /acute /circumflex /tilde /macron /breve /dotaccent
-/dieresis /.notdef /ring /cedilla /.notdef /hungarumlaut /ogonek /caron /space]
->>
-endobj
-6 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F1
-/BaseFont /Times-Roman
-/Encoding 5 0 R
->>
-endobj
-7 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F2
-/BaseFont /Times-Bold
-/Encoding 5 0 R
->>
-endobj
-8 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F3
-/BaseFont /Times-Italic
-/Encoding 5 0 R
->>
-endobj
-9 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F4
-/BaseFont /Times-BoldItalic
-/Encoding 5 0 R
->>
-endobj
-10 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F5
-/BaseFont /Symbol
->>
-endobj
-11 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F6
-/BaseFont /ZapfDingbats
->>
-endobj
-12 0 obj
-<<
-/Type /Page
-/Parent 3 0 R
-/Contents 13 0 R
-/Resources 4 0 R
->>
-endobj
-13 0 obj
-<<
-/Length 14 0 R
->>
-stream
-1 J 1 j 10 M q
-Q q
-1.000 1.000 1.000 rg
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-  37.77 48.76 m
-  144.00 232.76 l
-  250.23 48.76 l
-b
-BT
-0.000 0.000 0.000 rg
-/F2 1 Tf 12.00 0.00 -0.00 12.00 52.45 278.40 Tm (1988 Mexican Presidential Election ) Tj
-/F2 1 Tf 12.00 0.00 -0.00 12.00 144.00 264.00 Tm () Tj
-/F2 1 Tf 10.00 0.00 -0.00 10.00 13.83 19.80 Tm (Pr\(Y=1\)) Tj
-/F2 1 Tf 10.00 0.00 -0.00 10.00 239.04 19.80 Tm (Pr\(Y=2\)) Tj
-/F2 1 Tf 10.00 0.00 -0.00 10.00 126.43 254.52 Tm (Pr\(Y=3\)) Tj
-ET
-Q q 17.28 41.40 253.44 198.72 re W n
-0.745 0.745 0.745 RG
-0.75 w
-[ 0.00 4.00] 0 d
-207.74 48.76 m
-122.75 195.96 l
-S
-207.74 48.76 m
-228.99 85.56 l
-S
-59.01 85.56 m
-228.99 85.56 l
-S
-BT
-0.663 0.663 0.663 rg
-/F1 1 Tf -5.00 8.66 -8.66 -5.00 169.11 118.60 Tm (0.2) Tj
-/F1 1 Tf -5.00 -8.66 8.66 -5.00 220.75 72.10 Tm (0.8) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 137.75 84.37 Tm (0.2) Tj
-ET
-165.25 48.76 m
-101.51 159.16 l
-S
-165.25 48.76 m
-207.74 122.36 l
-S
-80.26 122.36 m
-207.74 122.36 l
-S
-BT
-/F1 1 Tf -5.00 8.66 -8.66 -5.00 137.24 100.20 Tm (0.4) Tj
-/F1 1 Tf -5.00 -8.66 8.66 -5.00 188.84 90.52 Tm (0.6) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 137.75 121.17 Tm (0.4) Tj
-ET
-122.75 48.76 m
-80.26 122.36 l
-S
-122.75 48.76 m
-186.49 159.16 l
-S
-101.51 159.16 m
-186.49 159.16 l
-S
-BT
-/F1 1 Tf -5.00 8.66 -8.66 -5.00 105.41 81.82 Tm (0.6) Tj
-/F1 1 Tf -5.00 -8.66 8.66 -5.00 157.01 108.90 Tm (0.4) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 137.75 157.93 Tm (0.6) Tj
-ET
-80.26 48.76 m
-59.01 85.56 l
-S
-80.26 48.76 m
-165.25 195.96 l
-S
-122.75 195.96 m
-165.25 195.96 l
-S
-BT
-/F1 1 Tf -5.00 8.66 -8.66 -5.00 73.50 63.40 Tm (0.8) Tj
-/F1 1 Tf -5.00 -8.66 8.66 -5.00 125.14 127.30 Tm (0.2) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 137.75 194.77 Tm (0.8) Tj
-ET
-0.000 0.000 1.000 rg
-80.52 77.25 1.00 1.00 re f
-82.24 77.66 1.00 1.00 re f
-77.31 77.25 1.00 1.00 re f
-89.23 82.37 1.00 1.00 re f
-82.83 81.78 1.00 1.00 re f
-82.87 79.17 1.00 1.00 re f
-74.87 73.49 1.00 1.00 re f
-85.29 80.45 1.00 1.00 re f
-83.85 79.48 1.00 1.00 re f
-81.32 75.81 1.00 1.00 re f
-93.09 82.29 1.00 1.00 re f
-80.22 77.69 1.00 1.00 re f
-78.24 77.10 1.00 1.00 re f
-75.76 76.48 1.00 1.00 re f
-86.00 77.01 1.00 1.00 re f
-86.49 77.73 1.00 1.00 re f
-85.51 79.95 1.00 1.00 re f
-81.47 74.49 1.00 1.00 re f
-74.62 78.35 1.00 1.00 re f
-78.21 72.84 1.00 1.00 re f
-80.27 71.83 1.00 1.00 re f
-75.45 75.83 1.00 1.00 re f
-80.48 80.01 1.00 1.00 re f
-81.56 81.39 1.00 1.00 re f
-82.49 81.16 1.00 1.00 re f
-85.88 75.32 1.00 1.00 re f
-74.29 74.59 1.00 1.00 re f
-81.69 76.96 1.00 1.00 re f
-81.99 75.36 1.00 1.00 re f
-76.59 72.20 1.00 1.00 re f
-82.53 77.28 1.00 1.00 re f
-79.28 78.74 1.00 1.00 re f
-75.56 73.31 1.00 1.00 re f
-81.59 76.88 1.00 1.00 re f
-86.37 76.09 1.00 1.00 re f
-77.29 77.39 1.00 1.00 re f
-80.55 80.42 1.00 1.00 re f
-78.92 77.44 1.00 1.00 re f
-80.52 73.62 1.00 1.00 re f
-82.13 76.52 1.00 1.00 re f
-82.63 76.17 1.00 1.00 re f
-83.73 82.49 1.00 1.00 re f
-81.45 78.94 1.00 1.00 re f
-85.79 78.93 1.00 1.00 re f
-87.46 72.68 1.00 1.00 re f
-86.68 78.00 1.00 1.00 re f
-78.76 79.04 1.00 1.00 re f
-87.86 77.41 1.00 1.00 re f
-78.47 79.66 1.00 1.00 re f
-78.07 76.57 1.00 1.00 re f
-86.39 76.85 1.00 1.00 re f
-87.26 81.64 1.00 1.00 re f
-81.54 79.12 1.00 1.00 re f
-79.18 73.93 1.00 1.00 re f
-85.09 74.70 1.00 1.00 re f
-70.97 67.73 1.00 1.00 re f
-75.90 75.20 1.00 1.00 re f
-75.64 72.25 1.00 1.00 re f
-80.85 75.85 1.00 1.00 re f
-86.06 79.06 1.00 1.00 re f
-86.50 81.53 1.00 1.00 re f
-86.38 78.86 1.00 1.00 re f
-78.97 76.79 1.00 1.00 re f
-85.37 77.22 1.00 1.00 re f
-77.94 76.32 1.00 1.00 re f
-78.36 75.95 1.00 1.00 re f
-76.75 74.11 1.00 1.00 re f
-80.94 80.32 1.00 1.00 re f
-82.64 74.62 1.00 1.00 re f
-89.02 77.63 1.00 1.00 re f
-76.41 80.44 1.00 1.00 re f
-81.97 81.80 1.00 1.00 re f
-72.82 76.44 1.00 1.00 re f
-81.94 78.91 1.00 1.00 re f
-78.92 78.62 1.00 1.00 re f
-81.23 79.76 1.00 1.00 re f
-82.13 80.67 1.00 1.00 re f
-76.72 79.52 1.00 1.00 re f
-84.39 80.18 1.00 1.00 re f
-86.70 75.78 1.00 1.00 re f
-82.98 77.90 1.00 1.00 re f
-80.19 78.48 1.00 1.00 re f
-79.81 75.02 1.00 1.00 re f
-81.35 76.79 1.00 1.00 re f
-84.36 76.20 1.00 1.00 re f
-74.25 76.49 1.00 1.00 re f
-75.83 78.95 1.00 1.00 re f
-79.56 76.81 1.00 1.00 re f
-83.00 80.78 1.00 1.00 re f
-80.17 74.77 1.00 1.00 re f
-79.37 80.88 1.00 1.00 re f
-86.11 80.97 1.00 1.00 re f
-88.67 80.69 1.00 1.00 re f
-80.17 78.83 1.00 1.00 re f
-82.35 76.35 1.00 1.00 re f
-83.98 77.71 1.00 1.00 re f
-78.39 75.10 1.00 1.00 re f
-83.19 75.71 1.00 1.00 re f
-80.43 80.62 1.00 1.00 re f
-81.62 79.02 1.00 1.00 re f
-86.93 80.64 1.00 1.00 re f
-76.08 77.02 1.00 1.00 re f
-81.91 78.59 1.00 1.00 re f
-82.13 77.68 1.00 1.00 re f
-79.90 75.12 1.00 1.00 re f
-74.53 74.99 1.00 1.00 re f
-84.55 79.16 1.00 1.00 re f
-76.97 70.71 1.00 1.00 re f
-83.79 85.22 1.00 1.00 re f
-78.87 75.53 1.00 1.00 re f
-87.97 74.54 1.00 1.00 re f
-78.77 77.96 1.00 1.00 re f
-72.93 72.27 1.00 1.00 re f
-81.24 72.90 1.00 1.00 re f
-79.01 78.15 1.00 1.00 re f
-80.16 78.25 1.00 1.00 re f
-78.89 82.45 1.00 1.00 re f
-81.41 82.23 1.00 1.00 re f
-83.43 75.42 1.00 1.00 re f
-78.16 75.42 1.00 1.00 re f
-84.55 82.70 1.00 1.00 re f
-77.32 75.76 1.00 1.00 re f
-77.82 74.29 1.00 1.00 re f
-80.96 77.96 1.00 1.00 re f
-86.40 74.12 1.00 1.00 re f
-81.81 77.71 1.00 1.00 re f
-80.78 77.07 1.00 1.00 re f
-82.48 71.19 1.00 1.00 re f
-83.07 76.85 1.00 1.00 re f
-74.59 73.66 1.00 1.00 re f
-83.26 76.91 1.00 1.00 re f
-74.44 74.66 1.00 1.00 re f
-87.22 75.93 1.00 1.00 re f
-84.78 78.27 1.00 1.00 re f
-80.50 71.93 1.00 1.00 re f
-80.41 79.16 1.00 1.00 re f
-84.34 82.06 1.00 1.00 re f
-83.22 80.97 1.00 1.00 re f
-85.94 82.41 1.00 1.00 re f
-78.68 72.91 1.00 1.00 re f
-79.76 77.82 1.00 1.00 re f
-85.26 81.43 1.00 1.00 re f
-83.90 78.02 1.00 1.00 re f
-79.58 75.73 1.00 1.00 re f
-82.51 77.16 1.00 1.00 re f
-75.41 73.54 1.00 1.00 re f
-84.26 80.45 1.00 1.00 re f
-86.11 79.74 1.00 1.00 re f
-81.68 75.15 1.00 1.00 re f
-79.60 78.59 1.00 1.00 re f
-75.86 77.44 1.00 1.00 re f
-71.18 71.05 1.00 1.00 re f
-83.41 76.65 1.00 1.00 re f
-82.56 79.22 1.00 1.00 re f
-84.37 77.66 1.00 1.00 re f
-77.98 77.43 1.00 1.00 re f
-77.67 76.79 1.00 1.00 re f
-87.89 83.16 1.00 1.00 re f
-78.88 78.37 1.00 1.00 re f
-77.84 74.22 1.00 1.00 re f
-85.42 75.82 1.00 1.00 re f
-81.93 73.36 1.00 1.00 re f
-80.13 75.29 1.00 1.00 re f
-74.15 72.95 1.00 1.00 re f
-79.50 79.30 1.00 1.00 re f
-80.38 81.49 1.00 1.00 re f
-77.37 71.00 1.00 1.00 re f
-79.81 78.66 1.00 1.00 re f
-76.79 80.06 1.00 1.00 re f
-85.03 74.76 1.00 1.00 re f
-74.92 75.59 1.00 1.00 re f
-76.04 74.60 1.00 1.00 re f
-83.42 79.06 1.00 1.00 re f
-79.87 77.40 1.00 1.00 re f
-84.14 75.32 1.00 1.00 re f
-82.56 80.60 1.00 1.00 re f
-82.67 76.92 1.00 1.00 re f
-79.45 80.43 1.00 1.00 re f
-85.62 81.33 1.00 1.00 re f
-81.65 77.38 1.00 1.00 re f
-79.95 76.43 1.00 1.00 re f
-91.38 75.63 1.00 1.00 re f
-83.08 76.67 1.00 1.00 re f
-80.62 74.66 1.00 1.00 re f
-76.67 74.90 1.00 1.00 re f
-74.29 72.02 1.00 1.00 re f
-71.96 74.39 1.00 1.00 re f
-76.98 76.66 1.00 1.00 re f
-83.02 79.14 1.00 1.00 re f
-78.35 72.75 1.00 1.00 re f
-79.02 74.89 1.00 1.00 re f
-80.48 77.57 1.00 1.00 re f
-79.72 76.30 1.00 1.00 re f
-83.59 78.68 1.00 1.00 re f
-76.69 74.21 1.00 1.00 re f
-84.08 76.33 1.00 1.00 re f
-77.67 75.81 1.00 1.00 re f
-82.18 76.37 1.00 1.00 re f
-80.65 71.86 1.00 1.00 re f
-83.39 77.53 1.00 1.00 re f
-80.56 75.62 1.00 1.00 re f
-87.29 79.22 1.00 1.00 re f
-77.99 75.92 1.00 1.00 re f
-79.49 78.00 1.00 1.00 re f
-80.37 77.23 1.00 1.00 re f
-83.13 73.97 1.00 1.00 re f
-85.53 78.62 1.00 1.00 re f
-80.73 79.64 1.00 1.00 re f
-73.02 74.84 1.00 1.00 re f
-87.18 78.49 1.00 1.00 re f
-81.59 77.28 1.00 1.00 re f
-80.58 80.01 1.00 1.00 re f
-85.40 73.82 1.00 1.00 re f
-79.28 73.95 1.00 1.00 re f
-78.90 74.83 1.00 1.00 re f
-88.16 80.31 1.00 1.00 re f
-78.47 76.24 1.00 1.00 re f
-77.64 73.02 1.00 1.00 re f
-77.26 74.89 1.00 1.00 re f
-81.12 80.45 1.00 1.00 re f
-85.20 76.20 1.00 1.00 re f
-83.13 75.01 1.00 1.00 re f
-79.44 79.09 1.00 1.00 re f
-85.07 75.99 1.00 1.00 re f
-87.13 73.33 1.00 1.00 re f
-84.58 75.30 1.00 1.00 re f
-79.15 76.62 1.00 1.00 re f
-84.34 77.92 1.00 1.00 re f
-78.71 72.28 1.00 1.00 re f
-85.23 80.21 1.00 1.00 re f
-80.01 75.35 1.00 1.00 re f
-78.79 75.16 1.00 1.00 re f
-80.08 75.92 1.00 1.00 re f
-87.80 83.39 1.00 1.00 re f
-81.29 75.44 1.00 1.00 re f
-83.85 78.45 1.00 1.00 re f
-79.47 78.58 1.00 1.00 re f
-78.58 79.16 1.00 1.00 re f
-78.56 76.64 1.00 1.00 re f
-82.79 74.89 1.00 1.00 re f
-80.51 79.57 1.00 1.00 re f
-81.53 77.10 1.00 1.00 re f
-81.87 74.70 1.00 1.00 re f
-79.40 79.00 1.00 1.00 re f
-72.20 73.72 1.00 1.00 re f
-80.95 78.74 1.00 1.00 re f
-76.67 72.52 1.00 1.00 re f
-85.00 77.61 1.00 1.00 re f
-84.33 78.77 1.00 1.00 re f
-75.21 76.44 1.00 1.00 re f
-87.47 81.74 1.00 1.00 re f
-82.10 76.94 1.00 1.00 re f
-80.63 77.94 1.00 1.00 re f
-80.45 84.26 1.00 1.00 re f
-84.69 78.51 1.00 1.00 re f
-79.61 72.93 1.00 1.00 re f
-88.78 80.74 1.00 1.00 re f
-83.29 77.23 1.00 1.00 re f
-80.18 77.90 1.00 1.00 re f
-75.72 73.97 1.00 1.00 re f
-86.94 79.79 1.00 1.00 re f
-84.16 78.18 1.00 1.00 re f
-81.33 73.38 1.00 1.00 re f
-78.95 77.39 1.00 1.00 re f
-80.80 80.70 1.00 1.00 re f
-79.17 72.79 1.00 1.00 re f
-76.89 73.87 1.00 1.00 re f
-81.62 75.72 1.00 1.00 re f
-77.07 73.45 1.00 1.00 re f
-78.03 75.83 1.00 1.00 re f
-81.61 80.57 1.00 1.00 re f
-81.35 80.48 1.00 1.00 re f
-81.06 72.69 1.00 1.00 re f
-85.15 79.62 1.00 1.00 re f
-83.98 75.26 1.00 1.00 re f
-77.67 77.04 1.00 1.00 re f
-82.28 76.84 1.00 1.00 re f
-87.80 83.07 1.00 1.00 re f
-79.99 78.69 1.00 1.00 re f
-77.52 73.43 1.00 1.00 re f
-80.52 82.93 1.00 1.00 re f
-84.50 79.05 1.00 1.00 re f
-88.99 81.28 1.00 1.00 re f
-86.78 81.31 1.00 1.00 re f
-82.56 76.02 1.00 1.00 re f
-80.07 76.66 1.00 1.00 re f
-86.43 78.55 1.00 1.00 re f
-84.21 85.07 1.00 1.00 re f
-82.06 79.03 1.00 1.00 re f
-81.99 75.87 1.00 1.00 re f
-85.71 80.56 1.00 1.00 re f
-79.96 77.36 1.00 1.00 re f
-78.89 76.30 1.00 1.00 re f
-79.85 78.64 1.00 1.00 re f
-83.67 77.07 1.00 1.00 re f
-75.90 73.45 1.00 1.00 re f
-87.08 76.87 1.00 1.00 re f
-77.80 81.51 1.00 1.00 re f
-80.37 74.54 1.00 1.00 re f
-81.04 78.36 1.00 1.00 re f
-85.21 74.34 1.00 1.00 re f
-83.37 80.80 1.00 1.00 re f
-80.58 78.90 1.00 1.00 re f
-82.56 77.18 1.00 1.00 re f
-83.10 80.10 1.00 1.00 re f
-77.24 77.22 1.00 1.00 re f
-79.17 82.77 1.00 1.00 re f
-86.05 74.55 1.00 1.00 re f
-78.19 75.26 1.00 1.00 re f
-86.70 82.07 1.00 1.00 re f
-75.90 76.20 1.00 1.00 re f
-78.71 79.00 1.00 1.00 re f
-76.14 77.97 1.00 1.00 re f
-86.91 77.04 1.00 1.00 re f
-84.95 80.10 1.00 1.00 re f
-77.98 74.29 1.00 1.00 re f
-84.57 79.63 1.00 1.00 re f
-78.36 75.17 1.00 1.00 re f
-83.36 76.20 1.00 1.00 re f
-81.61 76.24 1.00 1.00 re f
-76.79 75.76 1.00 1.00 re f
-81.90 76.85 1.00 1.00 re f
-80.66 81.75 1.00 1.00 re f
-78.80 76.93 1.00 1.00 re f
-74.92 73.06 1.00 1.00 re f
-85.59 88.50 1.00 1.00 re f
-83.41 75.72 1.00 1.00 re f
-81.87 81.13 1.00 1.00 re f
-80.01 77.32 1.00 1.00 re f
-80.25 80.16 1.00 1.00 re f
-87.32 82.85 1.00 1.00 re f
-84.97 78.18 1.00 1.00 re f
-81.24 77.15 1.00 1.00 re f
-78.08 78.69 1.00 1.00 re f
-87.41 79.40 1.00 1.00 re f
-77.60 73.84 1.00 1.00 re f
-87.68 77.67 1.00 1.00 re f
-76.93 70.87 1.00 1.00 re f
-84.91 80.47 1.00 1.00 re f
-72.21 73.58 1.00 1.00 re f
-78.84 80.84 1.00 1.00 re f
-82.00 76.96 1.00 1.00 re f
-81.04 76.42 1.00 1.00 re f
-82.69 79.96 1.00 1.00 re f
-82.77 77.32 1.00 1.00 re f
-90.89 87.01 1.00 1.00 re f
-81.17 78.10 1.00 1.00 re f
-81.97 80.35 1.00 1.00 re f
-84.48 77.53 1.00 1.00 re f
-90.58 80.82 1.00 1.00 re f
-84.38 75.64 1.00 1.00 re f
-77.97 74.90 1.00 1.00 re f
-83.22 78.15 1.00 1.00 re f
-79.92 79.42 1.00 1.00 re f
-79.95 75.28 1.00 1.00 re f
-78.08 78.70 1.00 1.00 re f
-85.57 80.87 1.00 1.00 re f
-78.29 80.22 1.00 1.00 re f
-74.81 74.65 1.00 1.00 re f
-80.51 79.10 1.00 1.00 re f
-84.53 75.30 1.00 1.00 re f
-82.83 75.63 1.00 1.00 re f
-76.65 75.35 1.00 1.00 re f
-83.20 86.67 1.00 1.00 re f
-78.17 73.89 1.00 1.00 re f
-77.90 74.22 1.00 1.00 re f
-79.64 76.78 1.00 1.00 re f
-79.14 80.60 1.00 1.00 re f
-80.18 80.36 1.00 1.00 re f
-75.33 76.66 1.00 1.00 re f
-90.36 82.09 1.00 1.00 re f
-75.98 78.27 1.00 1.00 re f
-79.91 74.13 1.00 1.00 re f
-78.58 74.01 1.00 1.00 re f
-78.30 76.66 1.00 1.00 re f
-78.02 74.46 1.00 1.00 re f
-83.71 77.85 1.00 1.00 re f
-80.66 73.40 1.00 1.00 re f
-83.51 78.95 1.00 1.00 re f
-82.42 78.54 1.00 1.00 re f
-79.25 77.08 1.00 1.00 re f
-83.14 81.15 1.00 1.00 re f
-82.34 78.85 1.00 1.00 re f
-77.66 73.43 1.00 1.00 re f
-78.92 77.83 1.00 1.00 re f
-78.88 78.55 1.00 1.00 re f
-77.45 75.23 1.00 1.00 re f
-78.53 70.87 1.00 1.00 re f
-85.96 79.68 1.00 1.00 re f
-80.87 79.04 1.00 1.00 re f
-84.81 76.40 1.00 1.00 re f
-88.46 77.50 1.00 1.00 re f
-79.71 74.62 1.00 1.00 re f
-82.38 77.23 1.00 1.00 re f
-83.10 82.39 1.00 1.00 re f
-85.16 74.65 1.00 1.00 re f
-78.29 82.26 1.00 1.00 re f
-80.97 76.45 1.00 1.00 re f
-83.70 75.42 1.00 1.00 re f
-76.93 78.81 1.00 1.00 re f
-77.49 74.12 1.00 1.00 re f
-88.77 81.41 1.00 1.00 re f
-78.48 75.59 1.00 1.00 re f
-80.54 72.34 1.00 1.00 re f
-78.26 79.83 1.00 1.00 re f
-75.01 74.35 1.00 1.00 re f
-79.37 73.75 1.00 1.00 re f
-83.58 76.90 1.00 1.00 re f
-88.04 75.55 1.00 1.00 re f
-84.78 76.31 1.00 1.00 re f
-78.42 82.79 1.00 1.00 re f
-79.61 76.14 1.00 1.00 re f
-85.14 80.05 1.00 1.00 re f
-77.81 75.24 1.00 1.00 re f
-79.49 76.86 1.00 1.00 re f
-85.41 78.34 1.00 1.00 re f
-89.41 78.26 1.00 1.00 re f
-83.11 77.92 1.00 1.00 re f
-78.03 73.84 1.00 1.00 re f
-79.94 74.82 1.00 1.00 re f
-80.15 77.57 1.00 1.00 re f
-85.94 77.28 1.00 1.00 re f
-79.59 82.68 1.00 1.00 re f
-79.51 78.75 1.00 1.00 re f
-81.40 81.62 1.00 1.00 re f
-83.00 76.50 1.00 1.00 re f
-80.71 76.29 1.00 1.00 re f
-83.11 78.67 1.00 1.00 re f
-87.02 77.51 1.00 1.00 re f
-82.46 79.75 1.00 1.00 re f
-84.81 76.04 1.00 1.00 re f
-84.80 80.95 1.00 1.00 re f
-85.79 91.06 1.00 1.00 re f
-74.75 74.08 1.00 1.00 re f
-72.26 72.74 1.00 1.00 re f
-77.79 81.46 1.00 1.00 re f
-82.76 77.90 1.00 1.00 re f
-78.65 73.76 1.00 1.00 re f
-87.07 78.97 1.00 1.00 re f
-77.88 74.20 1.00 1.00 re f
-74.17 73.94 1.00 1.00 re f
-87.46 78.81 1.00 1.00 re f
-73.93 70.18 1.00 1.00 re f
-87.69 77.60 1.00 1.00 re f
-80.06 78.59 1.00 1.00 re f
-71.04 71.08 1.00 1.00 re f
-80.38 70.77 1.00 1.00 re f
-78.30 76.60 1.00 1.00 re f
-83.40 79.61 1.00 1.00 re f
-84.84 80.27 1.00 1.00 re f
-82.54 82.97 1.00 1.00 re f
-83.12 79.23 1.00 1.00 re f
-78.80 71.60 1.00 1.00 re f
-76.11 76.40 1.00 1.00 re f
-81.70 76.96 1.00 1.00 re f
-82.60 73.81 1.00 1.00 re f
-81.63 80.19 1.00 1.00 re f
-84.42 76.13 1.00 1.00 re f
-71.35 70.38 1.00 1.00 re f
-80.36 74.21 1.00 1.00 re f
-79.50 71.64 1.00 1.00 re f
-79.06 75.03 1.00 1.00 re f
-79.41 80.30 1.00 1.00 re f
-84.01 81.61 1.00 1.00 re f
-81.32 74.24 1.00 1.00 re f
-81.96 74.65 1.00 1.00 re f
-81.13 77.70 1.00 1.00 re f
-76.80 76.03 1.00 1.00 re f
-81.35 78.13 1.00 1.00 re f
-80.71 77.78 1.00 1.00 re f
-90.21 82.38 1.00 1.00 re f
-83.01 77.11 1.00 1.00 re f
-80.18 78.17 1.00 1.00 re f
-85.87 79.45 1.00 1.00 re f
-81.15 79.21 1.00 1.00 re f
-80.74 74.08 1.00 1.00 re f
-82.95 72.29 1.00 1.00 re f
-78.47 72.83 1.00 1.00 re f
-80.26 80.02 1.00 1.00 re f
-76.05 75.59 1.00 1.00 re f
-76.90 74.03 1.00 1.00 re f
-79.27 76.81 1.00 1.00 re f
-88.73 79.68 1.00 1.00 re f
-86.36 79.74 1.00 1.00 re f
-83.67 79.61 1.00 1.00 re f
-79.39 73.69 1.00 1.00 re f
-81.06 77.55 1.00 1.00 re f
-79.78 76.61 1.00 1.00 re f
-90.87 79.99 1.00 1.00 re f
-80.42 76.86 1.00 1.00 re f
-84.32 78.75 1.00 1.00 re f
-81.35 76.32 1.00 1.00 re f
-78.02 76.90 1.00 1.00 re f
-76.86 74.68 1.00 1.00 re f
-85.77 83.21 1.00 1.00 re f
-74.60 70.28 1.00 1.00 re f
-84.91 79.01 1.00 1.00 re f
-83.13 77.02 1.00 1.00 re f
-79.57 75.28 1.00 1.00 re f
-79.01 72.22 1.00 1.00 re f
-84.82 79.67 1.00 1.00 re f
-78.38 76.77 1.00 1.00 re f
-73.01 73.00 1.00 1.00 re f
-78.77 83.62 1.00 1.00 re f
-84.47 76.78 1.00 1.00 re f
-74.82 71.51 1.00 1.00 re f
-79.78 78.42 1.00 1.00 re f
-84.83 77.57 1.00 1.00 re f
-81.22 83.94 1.00 1.00 re f
-87.99 73.29 1.00 1.00 re f
-79.03 74.74 1.00 1.00 re f
-79.39 78.77 1.00 1.00 re f
-72.93 75.93 1.00 1.00 re f
-77.56 76.46 1.00 1.00 re f
-77.10 80.77 1.00 1.00 re f
-82.84 72.20 1.00 1.00 re f
-79.62 79.96 1.00 1.00 re f
-81.96 76.80 1.00 1.00 re f
-75.21 77.48 1.00 1.00 re f
-81.85 84.94 1.00 1.00 re f
-80.29 77.07 1.00 1.00 re f
-81.08 73.81 1.00 1.00 re f
-82.78 76.99 1.00 1.00 re f
-75.18 77.83 1.00 1.00 re f
-85.69 76.48 1.00 1.00 re f
-82.43 77.90 1.00 1.00 re f
-81.35 71.78 1.00 1.00 re f
-84.91 80.70 1.00 1.00 re f
-75.32 73.74 1.00 1.00 re f
-81.44 77.70 1.00 1.00 re f
-83.93 75.10 1.00 1.00 re f
-79.90 78.27 1.00 1.00 re f
-82.63 75.67 1.00 1.00 re f
-78.47 76.63 1.00 1.00 re f
-82.41 80.41 1.00 1.00 re f
-75.61 73.90 1.00 1.00 re f
-86.28 82.62 1.00 1.00 re f
-91.42 82.84 1.00 1.00 re f
-81.62 77.47 1.00 1.00 re f
-83.88 83.48 1.00 1.00 re f
-78.03 72.07 1.00 1.00 re f
-85.26 80.02 1.00 1.00 re f
-80.60 80.50 1.00 1.00 re f
-87.68 75.47 1.00 1.00 re f
-84.97 80.45 1.00 1.00 re f
-80.16 73.43 1.00 1.00 re f
-76.41 70.28 1.00 1.00 re f
-77.13 72.82 1.00 1.00 re f
-86.39 78.90 1.00 1.00 re f
-80.89 80.51 1.00 1.00 re f
-77.62 73.60 1.00 1.00 re f
-79.74 77.16 1.00 1.00 re f
-80.28 78.71 1.00 1.00 re f
-82.78 69.13 1.00 1.00 re f
-80.14 77.14 1.00 1.00 re f
-87.53 83.27 1.00 1.00 re f
-79.84 81.97 1.00 1.00 re f
-78.30 78.84 1.00 1.00 re f
-86.97 73.16 1.00 1.00 re f
-85.05 76.64 1.00 1.00 re f
-83.74 80.19 1.00 1.00 re f
-88.21 80.10 1.00 1.00 re f
-89.78 82.36 1.00 1.00 re f
-78.78 76.62 1.00 1.00 re f
-78.60 75.76 1.00 1.00 re f
-76.30 73.25 1.00 1.00 re f
-78.14 75.65 1.00 1.00 re f
-80.76 79.93 1.00 1.00 re f
-79.88 77.61 1.00 1.00 re f
-84.89 81.92 1.00 1.00 re f
-78.33 72.10 1.00 1.00 re f
-82.00 77.60 1.00 1.00 re f
-74.63 72.59 1.00 1.00 re f
-81.48 78.05 1.00 1.00 re f
-81.75 76.35 1.00 1.00 re f
-89.27 77.85 1.00 1.00 re f
-83.73 75.60 1.00 1.00 re f
-79.43 73.37 1.00 1.00 re f
-85.31 79.88 1.00 1.00 re f
-79.92 78.10 1.00 1.00 re f
-77.62 71.97 1.00 1.00 re f
-86.67 78.59 1.00 1.00 re f
-80.93 74.52 1.00 1.00 re f
-72.41 77.85 1.00 1.00 re f
-81.75 75.31 1.00 1.00 re f
-87.87 77.98 1.00 1.00 re f
-83.48 81.42 1.00 1.00 re f
-77.31 71.46 1.00 1.00 re f
-82.46 77.93 1.00 1.00 re f
-79.95 78.12 1.00 1.00 re f
-83.71 77.30 1.00 1.00 re f
-82.55 76.53 1.00 1.00 re f
-74.55 76.67 1.00 1.00 re f
-85.69 81.83 1.00 1.00 re f
-79.90 74.10 1.00 1.00 re f
-80.74 77.28 1.00 1.00 re f
-81.42 81.31 1.00 1.00 re f
-80.20 79.23 1.00 1.00 re f
-77.41 79.01 1.00 1.00 re f
-82.67 76.14 1.00 1.00 re f
-81.77 76.19 1.00 1.00 re f
-84.37 76.90 1.00 1.00 re f
-78.53 73.92 1.00 1.00 re f
-83.07 80.17 1.00 1.00 re f
-84.01 82.56 1.00 1.00 re f
-84.08 75.14 1.00 1.00 re f
-79.07 74.93 1.00 1.00 re f
-82.48 82.38 1.00 1.00 re f
-76.82 78.29 1.00 1.00 re f
-82.69 79.00 1.00 1.00 re f
-77.00 74.10 1.00 1.00 re f
-75.74 71.51 1.00 1.00 re f
-82.62 80.76 1.00 1.00 re f
-81.75 73.59 1.00 1.00 re f
-78.77 75.90 1.00 1.00 re f
-83.17 78.57 1.00 1.00 re f
-77.28 76.21 1.00 1.00 re f
-81.61 77.49 1.00 1.00 re f
-77.13 69.87 1.00 1.00 re f
-82.97 80.17 1.00 1.00 re f
-77.34 75.51 1.00 1.00 re f
-81.41 80.28 1.00 1.00 re f
-79.44 76.06 1.00 1.00 re f
-74.45 74.76 1.00 1.00 re f
-79.91 76.56 1.00 1.00 re f
-79.64 74.48 1.00 1.00 re f
-86.18 86.81 1.00 1.00 re f
-90.79 81.67 1.00 1.00 re f
-82.90 79.24 1.00 1.00 re f
-79.30 75.59 1.00 1.00 re f
-79.08 74.38 1.00 1.00 re f
-82.34 77.13 1.00 1.00 re f
-86.42 77.92 1.00 1.00 re f
-86.01 74.32 1.00 1.00 re f
-81.03 82.60 1.00 1.00 re f
-86.88 81.40 1.00 1.00 re f
-85.94 75.50 1.00 1.00 re f
-76.98 77.44 1.00 1.00 re f
-81.66 76.64 1.00 1.00 re f
-76.94 77.06 1.00 1.00 re f
-84.34 76.33 1.00 1.00 re f
-77.29 76.65 1.00 1.00 re f
-88.02 76.47 1.00 1.00 re f
-85.10 76.36 1.00 1.00 re f
-78.47 79.73 1.00 1.00 re f
-75.96 72.81 1.00 1.00 re f
-83.48 75.40 1.00 1.00 re f
-81.06 79.85 1.00 1.00 re f
-85.00 79.38 1.00 1.00 re f
-82.95 72.09 1.00 1.00 re f
-78.89 82.13 1.00 1.00 re f
-77.94 75.27 1.00 1.00 re f
-78.44 77.69 1.00 1.00 re f
-84.93 81.45 1.00 1.00 re f
-85.69 75.99 1.00 1.00 re f
-84.44 77.54 1.00 1.00 re f
-85.79 76.97 1.00 1.00 re f
-82.10 81.98 1.00 1.00 re f
-81.84 82.22 1.00 1.00 re f
-88.30 80.24 1.00 1.00 re f
-75.11 80.08 1.00 1.00 re f
-81.75 81.17 1.00 1.00 re f
-87.77 83.36 1.00 1.00 re f
-81.83 80.83 1.00 1.00 re f
-77.71 76.20 1.00 1.00 re f
-78.32 76.03 1.00 1.00 re f
-85.15 80.07 1.00 1.00 re f
-82.92 78.41 1.00 1.00 re f
-84.91 77.63 1.00 1.00 re f
-81.53 77.01 1.00 1.00 re f
-87.83 78.54 1.00 1.00 re f
-80.49 77.25 1.00 1.00 re f
-80.81 74.17 1.00 1.00 re f
-87.07 83.16 1.00 1.00 re f
-76.11 74.68 1.00 1.00 re f
-78.85 75.55 1.00 1.00 re f
-81.27 74.11 1.00 1.00 re f
-77.65 76.90 1.00 1.00 re f
-81.77 84.77 1.00 1.00 re f
-82.53 76.80 1.00 1.00 re f
-79.43 80.88 1.00 1.00 re f
-77.13 72.11 1.00 1.00 re f
-79.43 78.22 1.00 1.00 re f
-81.14 77.99 1.00 1.00 re f
-85.38 78.56 1.00 1.00 re f
-85.43 75.86 1.00 1.00 re f
-75.97 72.15 1.00 1.00 re f
-85.89 76.93 1.00 1.00 re f
-84.46 73.92 1.00 1.00 re f
-79.45 78.75 1.00 1.00 re f
-76.08 76.55 1.00 1.00 re f
-83.85 74.22 1.00 1.00 re f
-82.77 77.59 1.00 1.00 re f
-81.82 78.95 1.00 1.00 re f
-85.46 77.19 1.00 1.00 re f
-78.99 78.97 1.00 1.00 re f
-83.34 75.74 1.00 1.00 re f
-79.15 73.00 1.00 1.00 re f
-84.65 73.87 1.00 1.00 re f
-86.03 74.82 1.00 1.00 re f
-79.77 74.90 1.00 1.00 re f
-81.93 79.74 1.00 1.00 re f
-86.35 79.82 1.00 1.00 re f
-80.24 77.93 1.00 1.00 re f
-78.79 79.64 1.00 1.00 re f
-79.41 78.78 1.00 1.00 re f
-81.84 78.99 1.00 1.00 re f
-84.67 74.89 1.00 1.00 re f
-71.89 69.68 1.00 1.00 re f
-79.59 76.01 1.00 1.00 re f
-82.21 75.01 1.00 1.00 re f
-77.36 78.57 1.00 1.00 re f
-81.43 80.31 1.00 1.00 re f
-80.67 82.65 1.00 1.00 re f
-78.70 73.66 1.00 1.00 re f
-83.03 79.04 1.00 1.00 re f
-83.27 79.76 1.00 1.00 re f
-78.59 79.23 1.00 1.00 re f
-87.75 84.93 1.00 1.00 re f
-86.23 80.73 1.00 1.00 re f
-77.79 79.70 1.00 1.00 re f
-81.95 80.07 1.00 1.00 re f
-85.45 77.26 1.00 1.00 re f
-85.21 78.73 1.00 1.00 re f
-82.72 75.84 1.00 1.00 re f
-78.68 79.97 1.00 1.00 re f
-76.45 77.07 1.00 1.00 re f
-80.20 77.69 1.00 1.00 re f
-79.73 82.31 1.00 1.00 re f
-79.13 76.05 1.00 1.00 re f
-80.49 79.92 1.00 1.00 re f
-88.97 81.27 1.00 1.00 re f
-83.00 76.52 1.00 1.00 re f
-84.21 76.30 1.00 1.00 re f
-76.50 78.13 1.00 1.00 re f
-78.09 75.93 1.00 1.00 re f
-80.96 74.72 1.00 1.00 re f
-82.06 77.33 1.00 1.00 re f
-78.86 80.26 1.00 1.00 re f
-83.30 80.31 1.00 1.00 re f
-88.44 75.49 1.00 1.00 re f
-78.93 75.17 1.00 1.00 re f
-80.17 77.05 1.00 1.00 re f
-76.78 73.39 1.00 1.00 re f
-82.66 81.44 1.00 1.00 re f
-80.13 83.48 1.00 1.00 re f
-86.77 86.68 1.00 1.00 re f
-85.80 78.20 1.00 1.00 re f
-86.01 80.95 1.00 1.00 re f
-78.47 75.61 1.00 1.00 re f
-86.80 71.67 1.00 1.00 re f
-83.12 78.59 1.00 1.00 re f
-82.27 78.17 1.00 1.00 re f
-88.02 81.88 1.00 1.00 re f
-82.18 79.74 1.00 1.00 re f
-76.30 73.64 1.00 1.00 re f
-76.47 75.70 1.00 1.00 re f
-81.97 75.20 1.00 1.00 re f
-86.73 81.05 1.00 1.00 re f
-80.18 76.37 1.00 1.00 re f
-80.98 75.23 1.00 1.00 re f
-84.06 73.82 1.00 1.00 re f
-80.60 72.42 1.00 1.00 re f
-79.09 74.70 1.00 1.00 re f
-83.13 78.28 1.00 1.00 re f
-74.32 76.01 1.00 1.00 re f
-84.22 76.59 1.00 1.00 re f
-80.00 78.58 1.00 1.00 re f
-80.01 77.60 1.00 1.00 re f
-77.32 78.29 1.00 1.00 re f
-80.31 74.64 1.00 1.00 re f
-84.21 83.59 1.00 1.00 re f
-82.23 73.17 1.00 1.00 re f
-81.79 73.80 1.00 1.00 re f
-83.71 76.06 1.00 1.00 re f
-80.59 74.50 1.00 1.00 re f
-81.64 71.96 1.00 1.00 re f
-88.49 80.32 1.00 1.00 re f
-81.63 76.65 1.00 1.00 re f
-87.50 80.23 1.00 1.00 re f
-85.48 76.74 1.00 1.00 re f
-84.38 77.72 1.00 1.00 re f
-78.99 78.66 1.00 1.00 re f
-73.53 73.11 1.00 1.00 re f
-73.62 69.82 1.00 1.00 re f
-81.63 71.60 1.00 1.00 re f
-82.06 77.92 1.00 1.00 re f
-81.90 80.52 1.00 1.00 re f
-83.46 76.77 1.00 1.00 re f
-75.51 73.15 1.00 1.00 re f
-77.75 76.21 1.00 1.00 re f
-74.96 72.10 1.00 1.00 re f
-82.11 77.89 1.00 1.00 re f
-83.62 76.87 1.00 1.00 re f
-82.19 75.66 1.00 1.00 re f
-73.02 75.90 1.00 1.00 re f
-75.53 71.55 1.00 1.00 re f
-81.10 77.01 1.00 1.00 re f
-81.74 75.63 1.00 1.00 re f
-77.03 71.50 1.00 1.00 re f
-75.41 74.15 1.00 1.00 re f
-81.08 76.59 1.00 1.00 re f
-81.59 76.67 1.00 1.00 re f
-82.71 80.22 1.00 1.00 re f
-82.00 78.47 1.00 1.00 re f
-77.28 74.05 1.00 1.00 re f
-77.00 74.19 1.00 1.00 re f
-77.70 74.08 1.00 1.00 re f
-87.96 79.31 1.00 1.00 re f
-86.04 80.84 1.00 1.00 re f
-79.41 73.67 1.00 1.00 re f
-85.11 76.62 1.00 1.00 re f
-79.77 73.10 1.00 1.00 re f
-85.00 77.62 1.00 1.00 re f
-83.22 76.28 1.00 1.00 re f
-79.12 79.50 1.00 1.00 re f
-78.62 76.82 1.00 1.00 re f
-76.74 74.16 1.00 1.00 re f
-80.66 78.02 1.00 1.00 re f
-80.71 75.95 1.00 1.00 re f
-78.62 79.30 1.00 1.00 re f
-83.80 74.87 1.00 1.00 re f
-82.29 81.34 1.00 1.00 re f
-78.82 74.97 1.00 1.00 re f
-79.47 72.79 1.00 1.00 re f
-92.34 77.81 1.00 1.00 re f
-86.60 76.97 1.00 1.00 re f
-79.70 75.85 1.00 1.00 re f
-75.14 74.28 1.00 1.00 re f
-77.58 79.20 1.00 1.00 re f
-78.99 74.27 1.00 1.00 re f
-77.76 74.04 1.00 1.00 re f
-77.28 75.89 1.00 1.00 re f
-76.10 72.01 1.00 1.00 re f
-78.48 74.52 1.00 1.00 re f
-79.75 74.61 1.00 1.00 re f
-86.66 75.83 1.00 1.00 re f
-82.79 81.84 1.00 1.00 re f
-81.30 80.16 1.00 1.00 re f
-79.73 76.02 1.00 1.00 re f
-84.31 79.89 1.00 1.00 re f
-82.12 74.14 1.00 1.00 re f
-78.05 74.97 1.00 1.00 re f
-81.12 76.82 1.00 1.00 re f
-88.60 81.97 1.00 1.00 re f
-82.39 72.39 1.00 1.00 re f
-83.15 78.30 1.00 1.00 re f
-85.34 74.46 1.00 1.00 re f
-78.48 77.52 1.00 1.00 re f
-81.01 78.75 1.00 1.00 re f
-79.22 78.26 1.00 1.00 re f
-80.63 78.03 1.00 1.00 re f
-81.90 77.66 1.00 1.00 re f
-86.69 79.88 1.00 1.00 re f
-86.15 80.99 1.00 1.00 re f
-77.03 77.57 1.00 1.00 re f
-83.51 77.58 1.00 1.00 re f
-75.41 75.24 1.00 1.00 re f
-78.71 81.56 1.00 1.00 re f
-79.93 77.86 1.00 1.00 re f
-79.53 76.42 1.00 1.00 re f
-83.23 79.67 1.00 1.00 re f
-77.05 73.44 1.00 1.00 re f
-85.34 77.33 1.00 1.00 re f
-83.82 82.45 1.00 1.00 re f
-82.06 77.67 1.00 1.00 re f
-82.80 74.65 1.00 1.00 re f
-84.26 76.22 1.00 1.00 re f
-84.03 79.05 1.00 1.00 re f
-79.27 78.13 1.00 1.00 re f
-81.95 74.74 1.00 1.00 re f
-78.85 76.03 1.00 1.00 re f
-84.22 71.21 1.00 1.00 re f
-82.10 73.71 1.00 1.00 re f
-85.51 78.88 1.00 1.00 re f
-84.48 79.53 1.00 1.00 re f
-85.11 73.96 1.00 1.00 re f
-89.00 82.01 1.00 1.00 re f
-81.77 75.93 1.00 1.00 re f
-75.64 76.04 1.00 1.00 re f
-80.54 75.07 1.00 1.00 re f
-79.69 75.99 1.00 1.00 re f
-81.61 82.10 1.00 1.00 re f
-83.47 81.28 1.00 1.00 re f
-81.65 75.39 1.00 1.00 re f
-85.16 84.21 1.00 1.00 re f
-83.29 77.00 1.00 1.00 re f
-78.69 74.78 1.00 1.00 re f
-79.72 77.08 1.00 1.00 re f
-83.25 80.68 1.00 1.00 re f
-83.21 82.73 1.00 1.00 re f
-80.25 77.87 1.00 1.00 re f
-79.98 80.54 1.00 1.00 re f
-82.42 76.62 1.00 1.00 re f
-78.32 74.93 1.00 1.00 re f
-84.30 76.47 1.00 1.00 re f
-84.54 78.25 1.00 1.00 re f
-80.45 75.00 1.00 1.00 re f
-89.23 83.34 1.00 1.00 re f
-77.86 77.97 1.00 1.00 re f
-81.43 81.37 1.00 1.00 re f
-83.41 79.08 1.00 1.00 re f
-81.13 72.94 1.00 1.00 re f
-81.90 80.93 1.00 1.00 re f
-83.15 81.67 1.00 1.00 re f
-81.50 74.93 1.00 1.00 re f
-78.42 77.36 1.00 1.00 re f
-79.95 73.70 1.00 1.00 re f
-78.44 73.94 1.00 1.00 re f
-87.81 77.19 1.00 1.00 re f
-76.34 73.16 1.00 1.00 re f
-76.61 74.61 1.00 1.00 re f
-77.16 75.24 1.00 1.00 re f
-75.68 74.76 1.00 1.00 re f
-82.82 78.67 1.00 1.00 re f
-81.86 79.36 1.00 1.00 re f
-77.61 70.98 1.00 1.00 re f
-76.06 76.02 1.00 1.00 re f
-80.18 77.47 1.00 1.00 re f
-84.89 84.31 1.00 1.00 re f
-74.73 75.45 1.00 1.00 re f
-84.23 76.63 1.00 1.00 re f
-75.91 74.99 1.00 1.00 re f
-79.74 76.97 1.00 1.00 re f
-82.54 79.17 1.00 1.00 re f
-83.66 79.65 1.00 1.00 re f
-81.71 80.70 1.00 1.00 re f
-87.81 76.92 1.00 1.00 re f
-79.26 76.81 1.00 1.00 re f
-86.79 82.79 1.00 1.00 re f
-82.00 80.88 1.00 1.00 re f
-83.14 74.96 1.00 1.00 re f
-82.85 75.92 1.00 1.00 re f
-78.01 75.68 1.00 1.00 re f
-86.17 75.31 1.00 1.00 re f
-82.01 75.91 1.00 1.00 re f
-79.01 77.11 1.00 1.00 re f
-82.19 76.97 1.00 1.00 re f
-85.54 82.07 1.00 1.00 re f
-78.84 74.79 1.00 1.00 re f
-85.50 76.81 1.00 1.00 re f
-77.76 74.71 1.00 1.00 re f
-84.08 78.56 1.00 1.00 re f
-81.44 77.38 1.00 1.00 re f
-85.74 75.34 1.00 1.00 re f
-80.66 81.11 1.00 1.00 re f
-82.97 77.82 1.00 1.00 re f
-76.89 77.08 1.00 1.00 re f
-80.75 83.05 1.00 1.00 re f
-79.71 75.81 1.00 1.00 re f
-79.73 71.87 1.00 1.00 re f
-80.31 79.24 1.00 1.00 re f
-83.23 78.72 1.00 1.00 re f
-80.23 76.77 1.00 1.00 re f
-82.71 76.19 1.00 1.00 re f
-85.76 83.45 1.00 1.00 re f
-79.60 79.35 1.00 1.00 re f
-87.35 74.75 1.00 1.00 re f
-83.36 77.03 1.00 1.00 re f
-81.03 74.12 1.00 1.00 re f
-84.56 76.28 1.00 1.00 re f
-81.80 75.77 1.00 1.00 re f
-81.41 76.06 1.00 1.00 re f
-83.39 72.00 1.00 1.00 re f
-77.94 77.26 1.00 1.00 re f
-86.46 84.08 1.00 1.00 re f
-83.59 74.90 1.00 1.00 re f
-86.15 73.66 1.00 1.00 re f
-76.16 76.89 1.00 1.00 re f
-84.24 74.52 1.00 1.00 re f
-78.01 78.44 1.00 1.00 re f
-76.71 75.57 1.00 1.00 re f
-81.60 73.99 1.00 1.00 re f
-83.55 79.94 1.00 1.00 re f
-87.23 73.20 1.00 1.00 re f
-82.47 75.83 1.00 1.00 re f
-77.59 74.23 1.00 1.00 re f
-78.04 77.55 1.00 1.00 re f
-79.82 80.94 1.00 1.00 re f
-80.38 78.21 1.00 1.00 re f
-79.54 79.73 1.00 1.00 re f
-82.90 80.28 1.00 1.00 re f
-78.73 77.00 1.00 1.00 re f
-85.81 78.54 1.00 1.00 re f
-80.38 76.70 1.00 1.00 re f
-84.83 74.73 1.00 1.00 re f
-82.15 75.28 1.00 1.00 re f
-80.25 81.73 1.00 1.00 re f
-84.37 78.57 1.00 1.00 re f
-80.21 75.45 1.00 1.00 re f
-78.55 75.27 1.00 1.00 re f
-82.83 74.41 1.00 1.00 re f
-79.90 76.65 1.00 1.00 re f
-82.57 76.87 1.00 1.00 re f
-78.11 75.41 1.00 1.00 re f
-79.40 76.82 1.00 1.00 re f
-82.30 74.37 1.00 1.00 re f
-80.78 78.92 1.00 1.00 re f
-82.97 77.89 1.00 1.00 re f
-79.67 76.77 1.00 1.00 re f
-1.000 0.000 0.000 rg
-132.88 103.82 1.00 1.00 re f
-136.87 102.09 1.00 1.00 re f
-135.10 99.61 1.00 1.00 re f
-126.19 96.03 1.00 1.00 re f
-138.97 100.10 1.00 1.00 re f
-129.98 109.82 1.00 1.00 re f
-124.99 98.09 1.00 1.00 re f
-127.11 101.34 1.00 1.00 re f
-134.26 99.70 1.00 1.00 re f
-134.28 100.72 1.00 1.00 re f
-126.26 103.53 1.00 1.00 re f
-131.65 103.12 1.00 1.00 re f
-134.39 99.52 1.00 1.00 re f
-135.62 99.48 1.00 1.00 re f
-135.53 105.88 1.00 1.00 re f
-135.24 108.36 1.00 1.00 re f
-132.21 103.98 1.00 1.00 re f
-140.04 101.22 1.00 1.00 re f
-126.96 100.49 1.00 1.00 re f
-129.88 100.53 1.00 1.00 re f
-133.02 109.23 1.00 1.00 re f
-132.91 98.73 1.00 1.00 re f
-142.81 101.03 1.00 1.00 re f
-129.20 101.82 1.00 1.00 re f
-140.27 101.86 1.00 1.00 re f
-130.54 102.07 1.00 1.00 re f
-131.88 104.04 1.00 1.00 re f
-123.40 102.30 1.00 1.00 re f
-131.34 103.23 1.00 1.00 re f
-140.49 107.89 1.00 1.00 re f
-137.27 98.86 1.00 1.00 re f
-141.78 96.47 1.00 1.00 re f
-133.81 104.82 1.00 1.00 re f
-135.28 100.63 1.00 1.00 re f
-135.32 100.40 1.00 1.00 re f
-133.73 103.88 1.00 1.00 re f
-138.38 98.03 1.00 1.00 re f
-129.86 100.56 1.00 1.00 re f
-136.33 107.60 1.00 1.00 re f
-134.01 108.38 1.00 1.00 re f
-134.22 103.81 1.00 1.00 re f
-135.69 102.69 1.00 1.00 re f
-132.33 101.19 1.00 1.00 re f
-129.17 100.30 1.00 1.00 re f
-135.86 110.13 1.00 1.00 re f
-134.30 109.05 1.00 1.00 re f
-128.55 100.64 1.00 1.00 re f
-128.32 100.92 1.00 1.00 re f
-133.35 99.34 1.00 1.00 re f
-129.60 105.13 1.00 1.00 re f
-133.97 104.84 1.00 1.00 re f
-136.48 96.31 1.00 1.00 re f
-136.56 99.43 1.00 1.00 re f
-134.62 104.03 1.00 1.00 re f
-130.22 92.32 1.00 1.00 re f
-126.85 97.44 1.00 1.00 re f
-132.11 101.79 1.00 1.00 re f
-136.88 106.70 1.00 1.00 re f
-135.28 98.52 1.00 1.00 re f
-137.73 108.36 1.00 1.00 re f
-140.10 101.17 1.00 1.00 re f
-133.27 112.98 1.00 1.00 re f
-128.65 98.75 1.00 1.00 re f
-134.97 102.94 1.00 1.00 re f
-131.12 99.81 1.00 1.00 re f
-130.87 104.14 1.00 1.00 re f
-140.47 100.53 1.00 1.00 re f
-140.00 98.63 1.00 1.00 re f
-133.07 101.45 1.00 1.00 re f
-128.72 104.06 1.00 1.00 re f
-134.23 110.76 1.00 1.00 re f
-131.82 105.72 1.00 1.00 re f
-131.18 102.53 1.00 1.00 re f
-127.50 107.38 1.00 1.00 re f
-129.90 95.50 1.00 1.00 re f
-134.64 100.51 1.00 1.00 re f
-130.82 104.71 1.00 1.00 re f
-131.28 103.41 1.00 1.00 re f
-139.36 103.65 1.00 1.00 re f
-140.25 104.49 1.00 1.00 re f
-140.80 101.76 1.00 1.00 re f
-133.36 96.82 1.00 1.00 re f
-133.79 100.28 1.00 1.00 re f
-133.31 102.22 1.00 1.00 re f
-126.94 108.87 1.00 1.00 re f
-133.32 105.63 1.00 1.00 re f
-133.76 103.23 1.00 1.00 re f
-129.83 100.24 1.00 1.00 re f
-134.72 95.69 1.00 1.00 re f
-128.37 96.65 1.00 1.00 re f
-129.15 102.36 1.00 1.00 re f
-125.95 97.62 1.00 1.00 re f
-136.37 100.23 1.00 1.00 re f
-131.75 103.68 1.00 1.00 re f
-137.11 104.78 1.00 1.00 re f
-139.61 100.39 1.00 1.00 re f
-126.90 103.60 1.00 1.00 re f
-131.21 108.15 1.00 1.00 re f
-133.77 105.06 1.00 1.00 re f
-128.74 103.64 1.00 1.00 re f
-125.81 99.47 1.00 1.00 re f
-130.71 106.78 1.00 1.00 re f
-135.96 108.48 1.00 1.00 re f
-136.52 97.71 1.00 1.00 re f
-132.47 96.85 1.00 1.00 re f
-129.28 109.87 1.00 1.00 re f
-138.79 99.27 1.00 1.00 re f
-133.99 105.53 1.00 1.00 re f
-134.99 98.87 1.00 1.00 re f
-129.42 103.78 1.00 1.00 re f
-128.35 103.30 1.00 1.00 re f
-137.08 104.55 1.00 1.00 re f
-133.59 101.46 1.00 1.00 re f
-129.94 98.24 1.00 1.00 re f
-129.63 109.37 1.00 1.00 re f
-131.76 104.87 1.00 1.00 re f
-133.66 97.28 1.00 1.00 re f
-134.92 108.27 1.00 1.00 re f
-136.14 107.46 1.00 1.00 re f
-127.79 99.41 1.00 1.00 re f
-139.97 107.70 1.00 1.00 re f
-130.97 101.40 1.00 1.00 re f
-140.15 95.81 1.00 1.00 re f
-133.18 104.41 1.00 1.00 re f
-125.71 103.67 1.00 1.00 re f
-131.31 100.41 1.00 1.00 re f
-128.61 104.00 1.00 1.00 re f
-133.21 101.80 1.00 1.00 re f
-134.39 100.81 1.00 1.00 re f
-133.42 94.30 1.00 1.00 re f
-134.53 103.20 1.00 1.00 re f
-134.10 103.44 1.00 1.00 re f
-134.41 105.17 1.00 1.00 re f
-130.66 102.45 1.00 1.00 re f
-135.92 104.95 1.00 1.00 re f
-130.85 102.25 1.00 1.00 re f
-134.65 101.92 1.00 1.00 re f
-134.12 100.35 1.00 1.00 re f
-141.48 98.24 1.00 1.00 re f
-134.69 107.77 1.00 1.00 re f
-145.01 103.06 1.00 1.00 re f
-133.25 99.49 1.00 1.00 re f
-126.55 108.45 1.00 1.00 re f
-133.44 101.95 1.00 1.00 re f
-131.07 102.66 1.00 1.00 re f
-120.49 103.32 1.00 1.00 re f
-133.64 107.68 1.00 1.00 re f
-137.89 102.81 1.00 1.00 re f
-133.05 103.29 1.00 1.00 re f
-131.13 97.81 1.00 1.00 re f
-138.44 101.07 1.00 1.00 re f
-143.57 100.61 1.00 1.00 re f
-127.82 100.95 1.00 1.00 re f
-135.83 100.10 1.00 1.00 re f
-138.59 101.93 1.00 1.00 re f
-127.09 97.42 1.00 1.00 re f
-129.36 99.71 1.00 1.00 re f
-131.42 99.62 1.00 1.00 re f
-138.68 97.94 1.00 1.00 re f
-136.49 99.99 1.00 1.00 re f
-133.87 102.46 1.00 1.00 re f
-125.85 100.12 1.00 1.00 re f
-136.55 102.98 1.00 1.00 re f
-132.80 102.45 1.00 1.00 re f
-133.07 95.34 1.00 1.00 re f
-125.40 106.43 1.00 1.00 re f
-133.70 102.61 1.00 1.00 re f
-129.83 107.34 1.00 1.00 re f
-132.56 104.33 1.00 1.00 re f
-130.44 105.21 1.00 1.00 re f
-137.34 107.11 1.00 1.00 re f
-127.80 99.94 1.00 1.00 re f
-131.03 104.39 1.00 1.00 re f
-135.62 99.37 1.00 1.00 re f
-136.44 97.46 1.00 1.00 re f
-131.15 104.45 1.00 1.00 re f
-132.68 100.75 1.00 1.00 re f
-134.20 106.15 1.00 1.00 re f
-132.46 99.36 1.00 1.00 re f
-136.65 99.52 1.00 1.00 re f
-138.46 97.39 1.00 1.00 re f
-137.49 97.89 1.00 1.00 re f
-134.14 100.99 1.00 1.00 re f
-131.44 97.13 1.00 1.00 re f
-136.79 103.81 1.00 1.00 re f
-131.42 98.13 1.00 1.00 re f
-133.15 106.71 1.00 1.00 re f
-132.84 102.04 1.00 1.00 re f
-130.39 106.80 1.00 1.00 re f
-126.16 99.23 1.00 1.00 re f
-137.46 100.99 1.00 1.00 re f
-126.05 101.55 1.00 1.00 re f
-132.90 109.54 1.00 1.00 re f
-126.32 101.78 1.00 1.00 re f
-134.93 105.52 1.00 1.00 re f
-140.34 96.15 1.00 1.00 re f
-138.31 99.05 1.00 1.00 re f
-132.59 98.37 1.00 1.00 re f
-134.35 98.36 1.00 1.00 re f
-136.44 103.03 1.00 1.00 re f
-133.78 105.08 1.00 1.00 re f
-129.05 102.47 1.00 1.00 re f
-130.66 100.66 1.00 1.00 re f
-133.69 106.47 1.00 1.00 re f
-131.80 103.89 1.00 1.00 re f
-125.97 101.82 1.00 1.00 re f
-131.48 97.98 1.00 1.00 re f
-135.89 99.07 1.00 1.00 re f
-131.23 102.79 1.00 1.00 re f
-128.61 99.09 1.00 1.00 re f
-127.87 100.01 1.00 1.00 re f
-134.55 95.31 1.00 1.00 re f
-133.14 96.91 1.00 1.00 re f
-130.20 100.99 1.00 1.00 re f
-131.75 106.66 1.00 1.00 re f
-127.62 105.56 1.00 1.00 re f
-127.08 97.01 1.00 1.00 re f
-127.93 103.21 1.00 1.00 re f
-136.64 98.92 1.00 1.00 re f
-133.47 98.30 1.00 1.00 re f
-131.68 105.04 1.00 1.00 re f
-139.41 105.17 1.00 1.00 re f
-140.62 106.44 1.00 1.00 re f
-129.50 102.47 1.00 1.00 re f
-132.29 104.58 1.00 1.00 re f
-125.80 95.73 1.00 1.00 re f
-137.66 101.21 1.00 1.00 re f
-134.37 101.12 1.00 1.00 re f
-137.71 102.82 1.00 1.00 re f
-134.50 98.75 1.00 1.00 re f
-137.75 104.24 1.00 1.00 re f
-131.23 105.07 1.00 1.00 re f
-139.85 98.36 1.00 1.00 re f
-135.01 108.39 1.00 1.00 re f
-134.66 102.47 1.00 1.00 re f
-140.63 107.34 1.00 1.00 re f
-127.37 96.76 1.00 1.00 re f
-129.46 100.67 1.00 1.00 re f
-124.13 100.16 1.00 1.00 re f
-128.22 104.82 1.00 1.00 re f
-137.57 106.75 1.00 1.00 re f
-135.70 106.93 1.00 1.00 re f
-130.42 103.44 1.00 1.00 re f
-128.50 99.27 1.00 1.00 re f
-133.22 103.46 1.00 1.00 re f
-136.18 102.33 1.00 1.00 re f
-129.86 92.37 1.00 1.00 re f
-134.46 109.53 1.00 1.00 re f
-130.54 110.38 1.00 1.00 re f
-136.58 93.72 1.00 1.00 re f
-129.84 98.72 1.00 1.00 re f
-131.99 103.22 1.00 1.00 re f
-139.79 101.93 1.00 1.00 re f
-133.59 104.60 1.00 1.00 re f
-134.14 100.89 1.00 1.00 re f
-137.90 98.64 1.00 1.00 re f
-130.86 99.99 1.00 1.00 re f
-137.56 105.96 1.00 1.00 re f
-134.13 101.40 1.00 1.00 re f
-135.25 112.17 1.00 1.00 re f
-132.89 102.29 1.00 1.00 re f
-141.91 102.52 1.00 1.00 re f
-131.10 106.32 1.00 1.00 re f
-128.45 106.17 1.00 1.00 re f
-138.90 103.65 1.00 1.00 re f
-137.82 98.55 1.00 1.00 re f
-133.96 96.44 1.00 1.00 re f
-129.87 104.07 1.00 1.00 re f
-131.38 98.10 1.00 1.00 re f
-132.85 97.85 1.00 1.00 re f
-129.57 106.50 1.00 1.00 re f
-130.59 106.68 1.00 1.00 re f
-127.91 104.36 1.00 1.00 re f
-137.09 108.22 1.00 1.00 re f
-130.39 106.70 1.00 1.00 re f
-135.75 104.55 1.00 1.00 re f
-134.14 100.38 1.00 1.00 re f
-137.08 102.13 1.00 1.00 re f
-140.08 105.17 1.00 1.00 re f
-137.45 101.01 1.00 1.00 re f
-139.72 105.47 1.00 1.00 re f
-135.63 104.08 1.00 1.00 re f
-131.62 107.24 1.00 1.00 re f
-137.66 109.64 1.00 1.00 re f
-128.78 107.45 1.00 1.00 re f
-132.17 104.66 1.00 1.00 re f
-133.96 104.14 1.00 1.00 re f
-141.72 105.61 1.00 1.00 re f
-132.77 102.61 1.00 1.00 re f
-128.89 96.81 1.00 1.00 re f
-134.79 100.78 1.00 1.00 re f
-124.19 101.72 1.00 1.00 re f
-131.78 102.97 1.00 1.00 re f
-130.15 99.83 1.00 1.00 re f
-131.96 100.37 1.00 1.00 re f
-127.44 104.24 1.00 1.00 re f
-136.60 97.53 1.00 1.00 re f
-133.68 107.05 1.00 1.00 re f
-139.96 101.34 1.00 1.00 re f
-139.58 102.81 1.00 1.00 re f
-136.53 103.12 1.00 1.00 re f
-133.84 107.39 1.00 1.00 re f
-129.93 103.82 1.00 1.00 re f
-137.20 99.42 1.00 1.00 re f
-138.35 101.66 1.00 1.00 re f
-134.33 96.57 1.00 1.00 re f
-132.24 98.23 1.00 1.00 re f
-132.19 105.08 1.00 1.00 re f
-128.69 104.40 1.00 1.00 re f
-132.99 101.16 1.00 1.00 re f
-137.93 106.12 1.00 1.00 re f
-134.04 99.37 1.00 1.00 re f
-129.23 97.16 1.00 1.00 re f
-127.45 108.99 1.00 1.00 re f
-134.10 102.89 1.00 1.00 re f
-128.87 103.13 1.00 1.00 re f
-137.66 104.83 1.00 1.00 re f
-129.84 98.94 1.00 1.00 re f
-134.47 102.49 1.00 1.00 re f
-131.40 99.81 1.00 1.00 re f
-137.43 101.03 1.00 1.00 re f
-127.09 99.67 1.00 1.00 re f
-125.01 103.44 1.00 1.00 re f
-129.89 106.71 1.00 1.00 re f
-134.84 100.65 1.00 1.00 re f
-135.67 105.19 1.00 1.00 re f
-133.74 112.02 1.00 1.00 re f
-128.52 101.70 1.00 1.00 re f
-129.32 100.11 1.00 1.00 re f
-132.07 96.57 1.00 1.00 re f
-129.87 102.10 1.00 1.00 re f
-129.73 104.39 1.00 1.00 re f
-132.16 100.13 1.00 1.00 re f
-143.49 99.54 1.00 1.00 re f
-132.72 96.99 1.00 1.00 re f
-123.00 104.42 1.00 1.00 re f
-138.57 99.68 1.00 1.00 re f
-134.93 108.27 1.00 1.00 re f
-138.56 105.91 1.00 1.00 re f
-134.76 107.95 1.00 1.00 re f
-138.68 106.28 1.00 1.00 re f
-131.39 104.44 1.00 1.00 re f
-124.46 102.43 1.00 1.00 re f
-129.53 98.94 1.00 1.00 re f
-126.41 97.13 1.00 1.00 re f
-129.64 99.95 1.00 1.00 re f
-129.95 96.69 1.00 1.00 re f
-132.46 102.09 1.00 1.00 re f
-132.35 99.04 1.00 1.00 re f
-132.43 100.67 1.00 1.00 re f
-134.73 105.34 1.00 1.00 re f
-125.76 101.90 1.00 1.00 re f
-141.62 102.27 1.00 1.00 re f
-128.95 102.74 1.00 1.00 re f
-134.52 102.69 1.00 1.00 re f
-132.67 104.58 1.00 1.00 re f
-125.19 104.69 1.00 1.00 re f
-131.20 109.27 1.00 1.00 re f
-135.56 107.75 1.00 1.00 re f
-132.40 102.12 1.00 1.00 re f
-133.72 100.07 1.00 1.00 re f
-135.67 103.65 1.00 1.00 re f
-133.99 98.40 1.00 1.00 re f
-130.62 108.99 1.00 1.00 re f
-126.43 103.66 1.00 1.00 re f
-138.66 97.55 1.00 1.00 re f
-131.47 102.37 1.00 1.00 re f
-130.88 105.53 1.00 1.00 re f
-130.19 108.40 1.00 1.00 re f
-136.58 108.70 1.00 1.00 re f
-128.87 97.61 1.00 1.00 re f
-135.18 99.15 1.00 1.00 re f
-136.22 110.18 1.00 1.00 re f
-136.13 97.43 1.00 1.00 re f
-151.02 105.29 1.00 1.00 re f
-129.79 98.92 1.00 1.00 re f
-124.91 101.44 1.00 1.00 re f
-128.72 106.77 1.00 1.00 re f
-138.55 101.88 1.00 1.00 re f
-136.00 102.53 1.00 1.00 re f
-135.90 111.96 1.00 1.00 re f
-130.70 97.26 1.00 1.00 re f
-135.83 99.31 1.00 1.00 re f
-128.43 94.37 1.00 1.00 re f
-130.52 108.72 1.00 1.00 re f
-134.64 99.74 1.00 1.00 re f
-134.90 106.98 1.00 1.00 re f
-135.95 101.56 1.00 1.00 re f
-132.37 105.02 1.00 1.00 re f
-133.19 100.18 1.00 1.00 re f
-137.81 100.72 1.00 1.00 re f
-132.37 100.44 1.00 1.00 re f
-130.88 105.19 1.00 1.00 re f
-134.78 101.82 1.00 1.00 re f
-131.52 103.57 1.00 1.00 re f
-133.42 102.59 1.00 1.00 re f
-135.83 98.04 1.00 1.00 re f
-133.45 99.74 1.00 1.00 re f
-131.94 104.37 1.00 1.00 re f
-135.40 101.86 1.00 1.00 re f
-130.32 102.48 1.00 1.00 re f
-138.41 98.71 1.00 1.00 re f
-136.46 103.73 1.00 1.00 re f
-132.01 105.69 1.00 1.00 re f
-133.14 105.29 1.00 1.00 re f
-132.89 97.17 1.00 1.00 re f
-132.18 94.38 1.00 1.00 re f
-122.22 102.82 1.00 1.00 re f
-136.39 101.22 1.00 1.00 re f
-130.18 107.14 1.00 1.00 re f
-131.75 97.47 1.00 1.00 re f
-130.85 99.87 1.00 1.00 re f
-133.15 109.26 1.00 1.00 re f
-127.82 93.67 1.00 1.00 re f
-131.01 109.28 1.00 1.00 re f
-136.37 104.25 1.00 1.00 re f
-142.79 94.09 1.00 1.00 re f
-135.90 95.49 1.00 1.00 re f
-133.99 96.28 1.00 1.00 re f
-131.86 99.20 1.00 1.00 re f
-132.34 97.38 1.00 1.00 re f
-128.53 102.89 1.00 1.00 re f
-134.64 98.18 1.00 1.00 re f
-133.79 100.08 1.00 1.00 re f
-123.20 99.74 1.00 1.00 re f
-125.42 96.83 1.00 1.00 re f
-125.39 107.39 1.00 1.00 re f
-137.45 103.81 1.00 1.00 re f
-138.58 103.93 1.00 1.00 re f
-133.89 102.84 1.00 1.00 re f
-133.97 99.74 1.00 1.00 re f
-137.51 103.52 1.00 1.00 re f
-130.48 103.39 1.00 1.00 re f
-132.82 107.25 1.00 1.00 re f
-136.26 98.24 1.00 1.00 re f
-136.66 94.62 1.00 1.00 re f
-129.85 101.66 1.00 1.00 re f
-127.81 103.89 1.00 1.00 re f
-128.99 101.65 1.00 1.00 re f
-137.00 103.97 1.00 1.00 re f
-130.76 102.21 1.00 1.00 re f
-131.90 99.26 1.00 1.00 re f
-125.23 99.15 1.00 1.00 re f
-137.07 101.08 1.00 1.00 re f
-127.10 102.07 1.00 1.00 re f
-135.53 97.42 1.00 1.00 re f
-130.87 104.41 1.00 1.00 re f
-133.68 95.25 1.00 1.00 re f
-131.28 106.70 1.00 1.00 re f
-127.98 103.97 1.00 1.00 re f
-137.52 100.85 1.00 1.00 re f
-130.99 107.17 1.00 1.00 re f
-131.55 104.06 1.00 1.00 re f
-132.91 105.06 1.00 1.00 re f
-127.77 98.33 1.00 1.00 re f
-126.67 101.53 1.00 1.00 re f
-138.22 108.20 1.00 1.00 re f
-132.85 103.01 1.00 1.00 re f
-134.40 98.54 1.00 1.00 re f
-125.10 101.58 1.00 1.00 re f
-129.74 96.17 1.00 1.00 re f
-129.00 99.10 1.00 1.00 re f
-134.62 102.73 1.00 1.00 re f
-133.19 100.04 1.00 1.00 re f
-139.88 100.85 1.00 1.00 re f
-130.98 100.04 1.00 1.00 re f
-129.19 100.82 1.00 1.00 re f
-136.53 101.71 1.00 1.00 re f
-137.09 107.00 1.00 1.00 re f
-132.42 98.15 1.00 1.00 re f
-130.35 101.83 1.00 1.00 re f
-144.38 99.68 1.00 1.00 re f
-130.55 105.74 1.00 1.00 re f
-126.42 102.47 1.00 1.00 re f
-134.14 95.58 1.00 1.00 re f
-137.86 104.07 1.00 1.00 re f
-131.31 107.03 1.00 1.00 re f
-138.55 104.56 1.00 1.00 re f
-131.56 98.68 1.00 1.00 re f
-137.37 106.31 1.00 1.00 re f
-129.90 102.27 1.00 1.00 re f
-124.84 113.47 1.00 1.00 re f
-129.30 98.45 1.00 1.00 re f
-130.42 103.30 1.00 1.00 re f
-131.67 101.44 1.00 1.00 re f
-137.13 98.57 1.00 1.00 re f
-119.64 100.03 1.00 1.00 re f
-130.46 98.21 1.00 1.00 re f
-126.23 105.53 1.00 1.00 re f
-132.48 108.59 1.00 1.00 re f
-127.84 103.65 1.00 1.00 re f
-135.04 101.14 1.00 1.00 re f
-132.57 104.75 1.00 1.00 re f
-138.85 101.93 1.00 1.00 re f
-124.41 100.21 1.00 1.00 re f
-135.14 104.45 1.00 1.00 re f
-139.28 103.23 1.00 1.00 re f
-135.29 98.85 1.00 1.00 re f
-134.36 105.17 1.00 1.00 re f
-133.78 104.87 1.00 1.00 re f
-137.36 106.60 1.00 1.00 re f
-134.40 106.56 1.00 1.00 re f
-132.87 99.96 1.00 1.00 re f
-132.81 95.78 1.00 1.00 re f
-139.38 99.69 1.00 1.00 re f
-132.09 100.49 1.00 1.00 re f
-128.80 102.41 1.00 1.00 re f
-134.28 103.58 1.00 1.00 re f
-135.88 96.56 1.00 1.00 re f
-129.95 107.08 1.00 1.00 re f
-134.75 104.55 1.00 1.00 re f
-132.31 99.10 1.00 1.00 re f
-124.91 104.68 1.00 1.00 re f
-134.52 102.05 1.00 1.00 re f
-136.86 108.89 1.00 1.00 re f
-135.95 95.02 1.00 1.00 re f
-135.41 103.96 1.00 1.00 re f
-127.23 103.40 1.00 1.00 re f
-124.14 102.92 1.00 1.00 re f
-132.68 96.23 1.00 1.00 re f
-131.96 105.54 1.00 1.00 re f
-128.36 103.05 1.00 1.00 re f
-134.20 106.92 1.00 1.00 re f
-134.62 98.70 1.00 1.00 re f
-128.39 98.79 1.00 1.00 re f
-125.14 99.78 1.00 1.00 re f
-134.01 103.12 1.00 1.00 re f
-136.51 97.47 1.00 1.00 re f
-136.28 99.54 1.00 1.00 re f
-131.29 104.34 1.00 1.00 re f
-128.02 100.65 1.00 1.00 re f
-131.13 104.40 1.00 1.00 re f
-132.05 106.18 1.00 1.00 re f
-134.88 111.49 1.00 1.00 re f
-133.30 101.23 1.00 1.00 re f
-129.63 101.99 1.00 1.00 re f
-129.87 96.86 1.00 1.00 re f
-136.25 102.87 1.00 1.00 re f
-129.32 103.61 1.00 1.00 re f
-139.93 97.52 1.00 1.00 re f
-128.12 103.52 1.00 1.00 re f
-133.59 108.81 1.00 1.00 re f
-128.78 99.21 1.00 1.00 re f
-134.72 107.41 1.00 1.00 re f
-129.97 103.67 1.00 1.00 re f
-133.33 102.82 1.00 1.00 re f
-132.69 103.88 1.00 1.00 re f
-132.76 104.38 1.00 1.00 re f
-128.74 106.81 1.00 1.00 re f
-136.96 93.74 1.00 1.00 re f
-137.74 108.88 1.00 1.00 re f
-136.38 104.18 1.00 1.00 re f
-123.90 97.04 1.00 1.00 re f
-122.87 97.05 1.00 1.00 re f
-133.56 101.41 1.00 1.00 re f
-129.54 97.68 1.00 1.00 re f
-136.50 96.66 1.00 1.00 re f
-135.21 106.17 1.00 1.00 re f
-138.10 106.55 1.00 1.00 re f
-132.33 96.34 1.00 1.00 re f
-134.00 99.96 1.00 1.00 re f
-134.70 101.65 1.00 1.00 re f
-134.34 102.68 1.00 1.00 re f
-131.98 102.70 1.00 1.00 re f
-140.07 101.81 1.00 1.00 re f
-128.97 107.26 1.00 1.00 re f
-130.21 108.77 1.00 1.00 re f
-135.63 101.54 1.00 1.00 re f
-131.63 98.10 1.00 1.00 re f
-133.35 104.00 1.00 1.00 re f
-131.09 102.05 1.00 1.00 re f
-134.77 107.71 1.00 1.00 re f
-130.88 102.14 1.00 1.00 re f
-131.47 105.31 1.00 1.00 re f
-130.46 96.40 1.00 1.00 re f
-127.55 100.89 1.00 1.00 re f
-133.54 97.59 1.00 1.00 re f
-128.22 110.59 1.00 1.00 re f
-124.02 105.22 1.00 1.00 re f
-130.86 112.06 1.00 1.00 re f
-127.81 103.18 1.00 1.00 re f
-131.56 103.22 1.00 1.00 re f
-129.48 103.32 1.00 1.00 re f
-134.92 101.20 1.00 1.00 re f
-136.15 100.08 1.00 1.00 re f
-142.60 92.52 1.00 1.00 re f
-128.16 111.51 1.00 1.00 re f
-126.83 103.73 1.00 1.00 re f
-133.80 100.36 1.00 1.00 re f
-127.10 104.90 1.00 1.00 re f
-134.69 98.51 1.00 1.00 re f
-130.75 99.97 1.00 1.00 re f
-135.68 111.55 1.00 1.00 re f
-134.89 93.74 1.00 1.00 re f
-120.38 103.57 1.00 1.00 re f
-125.55 103.30 1.00 1.00 re f
-140.34 100.27 1.00 1.00 re f
-138.55 101.83 1.00 1.00 re f
-137.76 111.94 1.00 1.00 re f
-132.18 106.91 1.00 1.00 re f
-136.96 103.88 1.00 1.00 re f
-135.49 101.31 1.00 1.00 re f
-138.32 104.90 1.00 1.00 re f
-133.80 103.72 1.00 1.00 re f
-127.89 107.77 1.00 1.00 re f
-130.55 102.80 1.00 1.00 re f
-133.94 105.09 1.00 1.00 re f
-131.63 103.00 1.00 1.00 re f
-134.54 106.98 1.00 1.00 re f
-131.90 101.27 1.00 1.00 re f
-141.93 104.45 1.00 1.00 re f
-132.98 102.62 1.00 1.00 re f
-133.18 98.27 1.00 1.00 re f
-138.33 104.87 1.00 1.00 re f
-135.38 106.44 1.00 1.00 re f
-133.57 108.01 1.00 1.00 re f
-135.10 102.42 1.00 1.00 re f
-126.42 100.07 1.00 1.00 re f
-131.26 109.13 1.00 1.00 re f
-126.11 103.24 1.00 1.00 re f
-129.62 99.52 1.00 1.00 re f
-129.12 106.12 1.00 1.00 re f
-127.83 96.76 1.00 1.00 re f
-138.63 105.59 1.00 1.00 re f
-135.26 100.33 1.00 1.00 re f
-127.72 108.01 1.00 1.00 re f
-134.62 105.70 1.00 1.00 re f
-133.85 105.74 1.00 1.00 re f
-130.94 100.10 1.00 1.00 re f
-127.81 97.10 1.00 1.00 re f
-125.01 108.70 1.00 1.00 re f
-132.44 104.23 1.00 1.00 re f
-129.56 111.13 1.00 1.00 re f
-135.01 100.86 1.00 1.00 re f
-127.65 99.59 1.00 1.00 re f
-123.94 92.96 1.00 1.00 re f
-135.01 94.67 1.00 1.00 re f
-131.20 96.73 1.00 1.00 re f
-133.86 107.12 1.00 1.00 re f
-136.83 108.92 1.00 1.00 re f
-134.64 102.88 1.00 1.00 re f
-132.53 105.32 1.00 1.00 re f
-135.25 102.59 1.00 1.00 re f
-129.95 104.47 1.00 1.00 re f
-135.16 99.36 1.00 1.00 re f
-137.24 102.73 1.00 1.00 re f
-134.39 111.10 1.00 1.00 re f
-141.62 97.47 1.00 1.00 re f
-122.48 90.30 1.00 1.00 re f
-133.14 98.07 1.00 1.00 re f
-138.37 104.37 1.00 1.00 re f
-134.65 101.88 1.00 1.00 re f
-129.82 96.82 1.00 1.00 re f
-124.79 104.08 1.00 1.00 re f
-134.65 101.00 1.00 1.00 re f
-125.39 106.83 1.00 1.00 re f
-142.70 98.75 1.00 1.00 re f
-129.59 105.40 1.00 1.00 re f
-139.99 105.22 1.00 1.00 re f
-130.65 107.72 1.00 1.00 re f
-135.79 100.25 1.00 1.00 re f
-134.78 102.44 1.00 1.00 re f
-131.75 105.19 1.00 1.00 re f
-126.09 108.51 1.00 1.00 re f
-137.38 100.45 1.00 1.00 re f
-133.01 98.28 1.00 1.00 re f
-134.21 106.78 1.00 1.00 re f
-133.98 99.36 1.00 1.00 re f
-138.24 111.93 1.00 1.00 re f
-138.83 104.15 1.00 1.00 re f
-128.90 98.87 1.00 1.00 re f
-137.51 100.48 1.00 1.00 re f
-131.04 104.06 1.00 1.00 re f
-132.48 103.00 1.00 1.00 re f
-131.51 108.29 1.00 1.00 re f
-136.74 103.81 1.00 1.00 re f
-140.32 104.95 1.00 1.00 re f
-131.24 102.87 1.00 1.00 re f
-137.38 100.66 1.00 1.00 re f
-140.63 110.05 1.00 1.00 re f
-133.53 96.17 1.00 1.00 re f
-131.27 94.23 1.00 1.00 re f
-125.84 107.64 1.00 1.00 re f
-127.60 101.60 1.00 1.00 re f
-133.15 104.61 1.00 1.00 re f
-127.88 97.67 1.00 1.00 re f
-137.53 105.07 1.00 1.00 re f
-136.41 107.21 1.00 1.00 re f
-135.38 97.42 1.00 1.00 re f
-132.31 105.80 1.00 1.00 re f
-128.56 102.25 1.00 1.00 re f
-130.48 108.52 1.00 1.00 re f
-138.67 103.49 1.00 1.00 re f
-133.42 104.52 1.00 1.00 re f
-130.35 104.50 1.00 1.00 re f
-134.19 105.14 1.00 1.00 re f
-130.25 99.37 1.00 1.00 re f
-130.91 103.09 1.00 1.00 re f
-136.35 99.55 1.00 1.00 re f
-138.47 102.56 1.00 1.00 re f
-129.77 101.12 1.00 1.00 re f
-139.31 108.81 1.00 1.00 re f
-135.91 93.23 1.00 1.00 re f
-139.41 98.08 1.00 1.00 re f
-134.65 105.26 1.00 1.00 re f
-140.70 104.69 1.00 1.00 re f
-136.30 101.39 1.00 1.00 re f
-133.38 104.91 1.00 1.00 re f
-137.30 102.72 1.00 1.00 re f
-125.50 96.92 1.00 1.00 re f
-125.94 107.05 1.00 1.00 re f
-133.97 101.28 1.00 1.00 re f
-123.47 105.46 1.00 1.00 re f
-139.99 103.72 1.00 1.00 re f
-131.61 102.71 1.00 1.00 re f
-129.41 90.32 1.00 1.00 re f
-127.39 105.77 1.00 1.00 re f
-129.42 98.48 1.00 1.00 re f
-131.44 102.47 1.00 1.00 re f
-136.80 100.83 1.00 1.00 re f
-131.28 98.46 1.00 1.00 re f
-135.83 103.72 1.00 1.00 re f
-129.10 105.58 1.00 1.00 re f
-127.39 101.84 1.00 1.00 re f
-124.74 97.99 1.00 1.00 re f
-134.73 105.79 1.00 1.00 re f
-135.22 101.69 1.00 1.00 re f
-138.04 106.81 1.00 1.00 re f
-135.85 103.84 1.00 1.00 re f
-126.73 106.12 1.00 1.00 re f
-121.84 93.74 1.00 1.00 re f
-133.76 99.73 1.00 1.00 re f
-133.00 107.80 1.00 1.00 re f
-133.50 106.01 1.00 1.00 re f
-134.56 102.75 1.00 1.00 re f
-133.63 106.88 1.00 1.00 re f
-134.73 104.07 1.00 1.00 re f
-132.72 104.43 1.00 1.00 re f
-135.27 98.03 1.00 1.00 re f
-133.74 101.21 1.00 1.00 re f
-134.08 101.90 1.00 1.00 re f
-136.40 99.62 1.00 1.00 re f
-136.46 92.31 1.00 1.00 re f
-132.08 104.13 1.00 1.00 re f
-127.46 109.03 1.00 1.00 re f
-131.57 97.99 1.00 1.00 re f
-129.36 100.59 1.00 1.00 re f
-133.11 102.46 1.00 1.00 re f
-137.40 106.73 1.00 1.00 re f
-134.08 108.55 1.00 1.00 re f
-126.11 99.34 1.00 1.00 re f
-129.23 99.09 1.00 1.00 re f
-126.45 102.49 1.00 1.00 re f
-125.86 102.92 1.00 1.00 re f
-138.90 103.33 1.00 1.00 re f
-133.52 101.33 1.00 1.00 re f
-130.20 102.92 1.00 1.00 re f
-134.22 101.49 1.00 1.00 re f
-133.81 99.94 1.00 1.00 re f
-127.27 100.78 1.00 1.00 re f
-128.66 99.28 1.00 1.00 re f
-132.86 101.40 1.00 1.00 re f
-131.41 110.86 1.00 1.00 re f
-130.28 100.12 1.00 1.00 re f
-138.02 93.91 1.00 1.00 re f
-125.20 98.51 1.00 1.00 re f
-126.18 105.92 1.00 1.00 re f
-130.77 102.35 1.00 1.00 re f
-131.81 98.70 1.00 1.00 re f
-126.61 101.96 1.00 1.00 re f
-134.54 105.85 1.00 1.00 re f
-142.24 96.56 1.00 1.00 re f
-136.58 103.89 1.00 1.00 re f
-128.45 95.00 1.00 1.00 re f
-128.27 109.61 1.00 1.00 re f
-134.07 103.86 1.00 1.00 re f
-138.98 103.52 1.00 1.00 re f
-131.80 99.74 1.00 1.00 re f
-129.95 100.70 1.00 1.00 re f
-129.70 98.86 1.00 1.00 re f
-132.69 102.78 1.00 1.00 re f
-131.80 98.94 1.00 1.00 re f
-132.07 102.59 1.00 1.00 re f
-137.91 99.81 1.00 1.00 re f
-132.84 105.58 1.00 1.00 re f
-133.60 101.56 1.00 1.00 re f
-133.86 101.99 1.00 1.00 re f
-129.74 103.04 1.00 1.00 re f
-130.45 102.74 1.00 1.00 re f
-132.08 106.56 1.00 1.00 re f
-134.16 103.30 1.00 1.00 re f
-128.81 108.14 1.00 1.00 re f
-133.84 102.04 1.00 1.00 re f
-128.51 91.32 1.00 1.00 re f
-128.68 108.31 1.00 1.00 re f
-134.20 100.26 1.00 1.00 re f
-132.38 96.61 1.00 1.00 re f
-131.12 102.42 1.00 1.00 re f
-133.94 103.67 1.00 1.00 re f
-131.38 99.39 1.00 1.00 re f
-137.97 99.59 1.00 1.00 re f
-132.95 97.00 1.00 1.00 re f
-132.28 104.69 1.00 1.00 re f
-128.50 99.05 1.00 1.00 re f
-140.16 105.00 1.00 1.00 re f
-141.88 102.54 1.00 1.00 re f
-135.51 99.50 1.00 1.00 re f
-126.09 102.01 1.00 1.00 re f
-134.90 109.28 1.00 1.00 re f
-130.76 102.23 1.00 1.00 re f
-133.40 103.44 1.00 1.00 re f
-138.77 103.61 1.00 1.00 re f
-135.77 98.19 1.00 1.00 re f
-129.69 100.30 1.00 1.00 re f
-136.91 108.87 1.00 1.00 re f
-130.89 90.97 1.00 1.00 re f
-134.52 105.57 1.00 1.00 re f
-128.49 100.64 1.00 1.00 re f
-131.05 102.42 1.00 1.00 re f
-128.84 92.75 1.00 1.00 re f
-126.02 97.41 1.00 1.00 re f
-137.52 97.59 1.00 1.00 re f
-141.48 102.49 1.00 1.00 re f
-132.51 101.96 1.00 1.00 re f
-129.22 103.94 1.00 1.00 re f
-141.41 102.77 1.00 1.00 re f
-128.00 107.74 1.00 1.00 re f
-135.78 97.88 1.00 1.00 re f
-129.35 102.88 1.00 1.00 re f
-135.68 99.55 1.00 1.00 re f
-132.28 103.67 1.00 1.00 re f
-133.24 99.13 1.00 1.00 re f
-128.10 106.09 1.00 1.00 re f
-137.90 99.91 1.00 1.00 re f
-136.36 104.24 1.00 1.00 re f
-134.89 100.27 1.00 1.00 re f
-127.82 99.11 1.00 1.00 re f
-129.06 101.39 1.00 1.00 re f
-133.15 103.53 1.00 1.00 re f
-129.24 101.89 1.00 1.00 re f
-136.53 103.84 1.00 1.00 re f
-129.70 106.55 1.00 1.00 re f
-134.82 99.09 1.00 1.00 re f
-134.35 95.93 1.00 1.00 re f
-136.85 103.78 1.00 1.00 re f
-131.43 106.19 1.00 1.00 re f
-130.98 103.98 1.00 1.00 re f
-132.75 102.13 1.00 1.00 re f
-134.10 100.12 1.00 1.00 re f
-128.78 97.04 1.00 1.00 re f
-131.83 103.08 1.00 1.00 re f
-124.94 95.35 1.00 1.00 re f
-126.67 100.80 1.00 1.00 re f
-129.45 100.84 1.00 1.00 re f
-126.88 101.63 1.00 1.00 re f
-133.89 107.62 1.00 1.00 re f
-135.39 100.15 1.00 1.00 re f
-141.14 100.54 1.00 1.00 re f
-133.59 108.65 1.00 1.00 re f
-132.25 104.42 1.00 1.00 re f
-132.07 101.69 1.00 1.00 re f
-131.59 110.58 1.00 1.00 re f
-132.63 101.26 1.00 1.00 re f
-131.38 101.78 1.00 1.00 re f
-134.03 110.83 1.00 1.00 re f
-139.63 101.26 1.00 1.00 re f
-138.93 100.76 1.00 1.00 re f
-131.32 106.72 1.00 1.00 re f
-137.55 108.31 1.00 1.00 re f
-133.88 107.32 1.00 1.00 re f
-126.28 91.48 1.00 1.00 re f
-133.00 99.22 1.00 1.00 re f
-128.55 100.97 1.00 1.00 re f
-133.45 100.32 1.00 1.00 re f
-127.17 99.52 1.00 1.00 re f
-130.04 102.20 1.00 1.00 re f
-132.30 104.66 1.00 1.00 re f
-137.35 94.44 1.00 1.00 re f
-131.56 109.54 1.00 1.00 re f
-136.62 104.72 1.00 1.00 re f
-130.15 98.44 1.00 1.00 re f
-139.84 101.93 1.00 1.00 re f
-136.59 105.65 1.00 1.00 re f
-134.56 108.51 1.00 1.00 re f
-136.01 100.58 1.00 1.00 re f
-127.98 100.04 1.00 1.00 re f
-130.24 97.32 1.00 1.00 re f
-138.40 104.87 1.00 1.00 re f
-128.17 107.70 1.00 1.00 re f
-129.33 95.68 1.00 1.00 re f
-131.47 101.88 1.00 1.00 re f
-132.79 104.36 1.00 1.00 re f
-130.03 105.24 1.00 1.00 re f
-126.01 105.04 1.00 1.00 re f
-138.04 98.19 1.00 1.00 re f
-139.80 101.05 1.00 1.00 re f
-130.59 109.10 1.00 1.00 re f
-130.48 104.24 1.00 1.00 re f
-129.02 104.69 1.00 1.00 re f
-137.86 106.23 1.00 1.00 re f
-126.18 108.56 1.00 1.00 re f
-131.86 102.66 1.00 1.00 re f
-129.65 107.39 1.00 1.00 re f
-134.51 100.27 1.00 1.00 re f
-130.48 103.40 1.00 1.00 re f
-134.71 98.93 1.00 1.00 re f
-137.59 111.15 1.00 1.00 re f
-133.17 104.65 1.00 1.00 re f
-137.86 102.24 1.00 1.00 re f
-139.49 107.02 1.00 1.00 re f
-132.51 105.41 1.00 1.00 re f
-135.46 100.97 1.00 1.00 re f
-131.25 105.26 1.00 1.00 re f
-131.97 111.14 1.00 1.00 re f
-129.64 104.39 1.00 1.00 re f
-130.94 99.53 1.00 1.00 re f
-135.93 103.41 1.00 1.00 re f
-132.07 100.64 1.00 1.00 re f
-136.16 106.99 1.00 1.00 re f
-132.76 103.18 1.00 1.00 re f
-125.96 101.10 1.00 1.00 re f
-126.25 102.01 1.00 1.00 re f
-130.40 104.21 1.00 1.00 re f
-134.98 109.22 1.00 1.00 re f
-131.40 104.08 1.00 1.00 re f
-134.04 105.91 1.00 1.00 re f
-136.37 100.27 1.00 1.00 re f
-133.37 96.16 1.00 1.00 re f
-137.05 105.26 1.00 1.00 re f
-132.12 96.88 1.00 1.00 re f
-136.72 106.30 1.00 1.00 re f
-133.72 102.09 1.00 1.00 re f
-132.61 101.65 1.00 1.00 re f
-133.81 101.43 1.00 1.00 re f
-131.21 109.20 1.00 1.00 re f
-128.11 97.21 1.00 1.00 re f
-138.51 99.83 1.00 1.00 re f
-129.66 106.09 1.00 1.00 re f
-132.73 105.38 1.00 1.00 re f
-135.15 100.60 1.00 1.00 re f
-132.28 103.37 1.00 1.00 re f
-133.88 100.31 1.00 1.00 re f
-137.14 104.05 1.00 1.00 re f
-129.68 107.86 1.00 1.00 re f
-133.99 105.66 1.00 1.00 re f
-132.09 105.45 1.00 1.00 re f
-127.58 107.59 1.00 1.00 re f
-137.78 103.08 1.00 1.00 re f
-133.83 100.92 1.00 1.00 re f
-139.70 110.91 1.00 1.00 re f
-132.99 103.61 1.00 1.00 re f
-129.19 100.44 1.00 1.00 re f
-132.76 109.32 1.00 1.00 re f
-131.43 104.52 1.00 1.00 re f
-128.22 99.66 1.00 1.00 re f
-129.04 97.89 1.00 1.00 re f
-131.80 101.44 1.00 1.00 re f
-126.34 99.15 1.00 1.00 re f
-137.30 100.51 1.00 1.00 re f
-135.92 109.22 1.00 1.00 re f
-134.80 101.41 1.00 1.00 re f
-133.96 104.91 1.00 1.00 re f
-132.37 104.20 1.00 1.00 re f
-130.90 100.28 1.00 1.00 re f
-132.64 99.67 1.00 1.00 re f
-135.03 96.50 1.00 1.00 re f
-131.13 105.64 1.00 1.00 re f
-123.75 102.30 1.00 1.00 re f
-136.09 103.50 1.00 1.00 re f
-136.63 100.27 1.00 1.00 re f
-138.04 98.04 1.00 1.00 re f
-129.30 103.97 1.00 1.00 re f
-127.21 99.76 1.00 1.00 re f
-140.06 112.21 1.00 1.00 re f
-132.95 100.07 1.00 1.00 re f
-127.18 95.91 1.00 1.00 re f
-130.53 105.32 1.00 1.00 re f
-136.93 102.60 1.00 1.00 re f
-133.93 100.94 1.00 1.00 re f
-126.04 99.87 1.00 1.00 re f
-128.34 101.64 1.00 1.00 re f
-130.98 111.10 1.00 1.00 re f
-133.57 99.84 1.00 1.00 re f
-125.27 105.23 1.00 1.00 re f
-130.40 102.10 1.00 1.00 re f
-130.90 104.01 1.00 1.00 re f
-124.64 106.67 1.00 1.00 re f
-131.94 107.99 1.00 1.00 re f
-134.48 105.10 1.00 1.00 re f
-140.66 100.55 1.00 1.00 re f
-133.63 93.26 1.00 1.00 re f
-134.58 98.38 1.00 1.00 re f
-128.27 102.07 1.00 1.00 re f
-127.02 101.58 1.00 1.00 re f
-133.23 103.88 1.00 1.00 re f
-133.32 104.99 1.00 1.00 re f
-138.44 101.01 1.00 1.00 re f
-123.67 101.50 1.00 1.00 re f
-124.35 101.01 1.00 1.00 re f
-132.19 102.56 1.00 1.00 re f
-Q
-endstream
-endobj
-14 0 obj
-57470
-endobj
-3 0 obj
-<<
-/Type /Pages
-/Kids [
-12 0 R
-]
-/Count 1
-/MediaBox [0 0 288 288]
->>
-endobj
-xref
-0 15
-0000000000 65535 f 
-0000000020 00000 n 
-0000000162 00000 n 
-0000058772 00000 n 
-0000000211 00000 n 
-0000000328 00000 n 
-0000000584 00000 n 
-0000000682 00000 n 
-0000000779 00000 n 
-0000000878 00000 n 
-0000000981 00000 n 
-0000001059 00000 n 
-0000001143 00000 n 
-0000001225 00000 n 
-0000058750 00000 n 
-trailer
-<<
-/Size 15
-/Info 1 0 R
-/Root 2 0 R
->>
-startxref
-58856
-%%EOF
diff --git a/inst/doc/figs/vertci.eps b/inst/doc/figs/vertci.eps
deleted file mode 100644
index fd882ea..0000000
--- a/inst/doc/figs/vertci.eps
+++ /dev/null
@@ -1,962 +0,0 @@
-%!PS-Adobe-3.0
-%%DocumentNeededResources: font Times-Roman
-%%+ font Times-Bold
-%%+ font Times-Italic
-%%+ font Times-BoldItalic
-%%+ font Symbol
-%%DocumentMedia: special 432 288 0 () ()
-%%Title: R Graphics Output
-%%Creator: R Software
-%%Pages: (atend)
-%%BoundingBox: 0 0 432 288
-%%EndComments
-%%BeginProlog
-/bp  { gs gs } def
-% begin .ps.prolog
-/gs  { gsave } def
-/gr  { grestore } def
-/ep  { showpage gr gr } def
-/m   { moveto } def
-/l  { rlineto } def
-/np  { newpath } def
-/cp  { closepath } def
-/f   { fill } def
-/o   { stroke } def
-/c   { newpath 0 360 arc } def
-/r   { 4 2 roll moveto 1 copy 3 -1 roll exch 0 exch rlineto 0 rlineto -1 mul 0 exch rlineto closepath } def
-/p1  { stroke } def
-/p2  { gsave bg setrgbcolor fill grestore newpath } def
-/p3  { gsave bg setrgbcolor fill grestore stroke } def
-/t   { 6 -2 roll moveto gsave rotate
-       ps mul neg 0 2 1 roll rmoveto
-       1 index stringwidth pop
-       mul neg 0 rmoveto show grestore } def
-/cl  { grestore gsave newpath 3 index 3 index moveto 1 index
-       4 -1 roll lineto  exch 1 index lineto lineto
-       closepath clip newpath } def
-/rgb { setrgbcolor } def
-/s   { scalefont setfont } def
-/R   { /Font1 findfont } def
-/B   { /Font2 findfont } def
-/I   { /Font3 findfont } def
-/BI  { /Font4 findfont } def
-/S   { /Font5 findfont } def
-1 setlinecap 1 setlinejoin
-% end   .ps.prolog
-%%IncludeResource: font Times-Roman
-/Times-Roman findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font1 exch definefont pop
-%%IncludeResource: font Times-Bold
-/Times-Bold findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font2 exch definefont pop
-%%IncludeResource: font Times-Italic
-/Times-Italic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font3 exch definefont pop
-%%IncludeResource: font Times-BoldItalic
-/Times-BoldItalic findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  /Encoding ISOLatin1Encoding def
-  currentdict
-  end
-/Font4 exch definefont pop
-%%IncludeResource: font Symbol
-/Symbol findfont
-dup length dict begin
-  {1 index /FID ne {def} {pop pop} ifelse} forall
-  currentdict
-  end
-/Font5 exch definefont pop
-%%EndProlog
-%%Page: 1 1
-bp
-0.00 0.00 432.00 288.00 cl
-0 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-71.04 61.20 m
-258.01 0 l
-o
-np
-71.04 61.20 m
-0 -6.00 l
-o
-np
-157.05 61.20 m
-0 -6.00 l
-o
-np
-243.05 61.20 m
-0 -6.00 l
-o
-np
-329.05 61.20 m
-0 -6.00 l
-o
-/ps 10 def R 10 s
-71.04 39.60 (20) .5 0 0 t
-157.05 39.60 (40) .5 0 0 t
-243.05 39.60 (60) .5 0 0 t
-329.05 39.60 (80) .5 0 0 t
-np
-49.20 86.70 m
-0 131.34 l
-o
-np
-49.20 86.70 m
--6.00 0 l
-o
-np
-49.20 119.53 m
--6.00 0 l
-o
-np
-49.20 152.37 m
--6.00 0 l
-o
-np
-49.20 185.20 m
--6.00 0 l
-o
-np
-49.20 218.04 m
--6.00 0 l
-o
-34.80 86.70 (0.5) .5 0 90 t
-34.80 119.53 (0.6) .5 0 90 t
-34.80 152.37 (0.7) .5 0 90 t
-34.80 185.20 (0.8) .5 0 90 t
-34.80 218.04 (0.9) .5 0 90 t
-np
-49.20 61.20 m
-357.60 0 l
-0 177.60 l
--357.60 0 l
-0 -177.60 l
-o
-0.00 0.00 432.00 288.00 cl
-/ps 12 def B 12 s
-0 0 0 rgb
-228.00 259.34 (Effect of Education and Age on Voting Behavior) .5 0 0 t
-/ps 10 def R 10 s
-228.00 15.60 (Age in Years) .5 0 0 t
-10.80 150.00 (Predicted Probability of Voting) .5 0 90 t
-49.20 61.20 406.80 238.80 cl
-1 0 0 rgb
-0.75 setlinewidth
-[] 0 setdash
-np
-62.44 67.78 m
-0 16.91 l
-o
-0 0 1 rgb
-np
-62.44 126.02 m
-0 15.76 l
-o
-1 0 0 rgb
-np
-66.74 74.81 m
-0 15.97 l
-o
-0 0 1 rgb
-np
-66.74 132.51 m
-0 14.61 l
-o
-1 0 0 rgb
-np
-71.04 81.73 m
-0 15.07 l
-o
-0 0 1 rgb
-np
-71.04 138.82 m
-0 13.51 l
-o
-1 0 0 rgb
-np
-75.34 88.66 m
-0 13.95 l
-o
-0 0 1 rgb
-np
-75.34 144.78 m
-0 12.39 l
-o
-1 0 0 rgb
-np
-79.65 95.34 m
-0 13.04 l
-o
-0 0 1 rgb
-np
-79.65 150.40 m
-0 11.56 l
-o
-1 0 0 rgb
-np
-83.95 101.78 m
-0 11.98 l
-o
-0 0 1 rgb
-np
-83.95 155.62 m
-0 10.79 l
-o
-1 0 0 rgb
-np
-88.25 107.95 m
-0 11.02 l
-o
-0 0 1 rgb
-np
-88.25 160.64 m
-0 10.04 l
-o
-1 0 0 rgb
-np
-92.55 113.90 m
-0 10.26 l
-o
-0 0 1 rgb
-np
-92.55 165.26 m
-0 9.40 l
-o
-1 0 0 rgb
-np
-96.85 119.71 m
-0 9.40 l
-o
-0 0 1 rgb
-np
-96.85 169.74 m
-0 8.80 l
-o
-1 0 0 rgb
-np
-101.15 125.27 m
-0 8.75 l
-o
-0 0 1 rgb
-np
-101.15 173.99 m
-0 8.21 l
-o
-1 0 0 rgb
-np
-105.45 130.51 m
-0 8.28 l
-o
-0 0 1 rgb
-np
-105.45 177.84 m
-0 7.82 l
-o
-1 0 0 rgb
-np
-109.75 135.50 m
-0 7.85 l
-o
-0 0 1 rgb
-np
-109.75 181.48 m
-0 7.35 l
-o
-1 0 0 rgb
-np
-114.05 140.30 m
-0 7.45 l
-o
-0 0 1 rgb
-np
-114.05 184.89 m
-0 7.03 l
-o
-1 0 0 rgb
-np
-118.35 144.80 m
-0 7.21 l
-o
-0 0 1 rgb
-np
-118.35 188.09 m
-0 6.72 l
-o
-1 0 0 rgb
-np
-122.65 149.08 m
-0 6.94 l
-o
-0 0 1 rgb
-np
-122.65 191.12 m
-0 6.41 l
-o
-1 0 0 rgb
-np
-126.95 153.17 m
-0 6.69 l
-o
-0 0 1 rgb
-np
-126.95 193.76 m
-0 6.36 l
-o
-1 0 0 rgb
-np
-131.25 157.04 m
-0 6.37 l
-o
-0 0 1 rgb
-np
-131.25 196.46 m
-0 6.08 l
-o
-1 0 0 rgb
-np
-135.55 160.64 m
-0 6.27 l
-o
-0 0 1 rgb
-np
-135.55 198.83 m
-0 5.99 l
-o
-1 0 0 rgb
-np
-139.85 164.02 m
-0 6.17 l
-o
-0 0 1 rgb
-np
-139.85 201.06 m
-0 5.89 l
-o
-1 0 0 rgb
-np
-144.15 167.19 m
-0 6.19 l
-o
-0 0 1 rgb
-np
-144.15 203.15 m
-0 5.76 l
-o
-1 0 0 rgb
-np
-148.45 170.17 m
-0 6.13 l
-o
-0 0 1 rgb
-np
-148.45 205.14 m
-0 5.65 l
-o
-1 0 0 rgb
-np
-152.75 172.98 m
-0 6.15 l
-o
-0 0 1 rgb
-np
-152.75 207.00 m
-0 5.51 l
-o
-1 0 0 rgb
-np
-157.05 175.76 m
-0 6.03 l
-o
-0 0 1 rgb
-np
-157.05 208.73 m
-0 5.38 l
-o
-1 0 0 rgb
-np
-161.35 178.31 m
-0 5.93 l
-o
-0 0 1 rgb
-np
-161.35 210.31 m
-0 5.31 l
-o
-1 0 0 rgb
-np
-165.65 180.73 m
-0 5.87 l
-o
-0 0 1 rgb
-np
-165.65 211.77 m
-0 5.28 l
-o
-1 0 0 rgb
-np
-169.95 183.00 m
-0 5.83 l
-o
-0 0 1 rgb
-np
-169.95 213.17 m
-0 5.19 l
-o
-1 0 0 rgb
-np
-174.25 185.09 m
-0 5.89 l
-o
-0 0 1 rgb
-np
-174.25 214.46 m
-0 5.14 l
-o
-1 0 0 rgb
-np
-178.55 187.08 m
-0 5.80 l
-o
-0 0 1 rgb
-np
-178.55 215.68 m
-0 5.06 l
-o
-1 0 0 rgb
-np
-182.85 188.93 m
-0 5.78 l
-o
-0 0 1 rgb
-np
-182.85 216.79 m
-0 5.02 l
-o
-1 0 0 rgb
-np
-187.15 190.71 m
-0 5.72 l
-o
-0 0 1 rgb
-np
-187.15 217.83 m
-0 4.95 l
-o
-1 0 0 rgb
-np
-191.45 192.30 m
-0 5.74 l
-o
-0 0 1 rgb
-np
-191.45 218.81 m
-0 4.86 l
-o
-1 0 0 rgb
-np
-195.75 193.84 m
-0 5.69 l
-o
-0 0 1 rgb
-np
-195.75 219.73 m
-0 4.82 l
-o
-1 0 0 rgb
-np
-200.05 195.29 m
-0 5.67 l
-o
-0 0 1 rgb
-np
-200.05 220.60 m
-0 4.73 l
-o
-1 0 0 rgb
-np
-204.35 196.68 m
-0 5.58 l
-o
-0 0 1 rgb
-np
-204.35 221.41 m
-0 4.69 l
-o
-1 0 0 rgb
-np
-208.65 197.96 m
-0 5.51 l
-o
-0 0 1 rgb
-np
-208.65 222.14 m
-0 4.62 l
-o
-1 0 0 rgb
-np
-212.95 199.12 m
-0 5.43 l
-o
-0 0 1 rgb
-np
-212.95 222.85 m
-0 4.53 l
-o
-1 0 0 rgb
-np
-217.25 200.24 m
-0 5.32 l
-o
-0 0 1 rgb
-np
-217.25 223.47 m
-0 4.47 l
-o
-1 0 0 rgb
-np
-221.55 201.24 m
-0 5.25 l
-o
-0 0 1 rgb
-np
-221.55 224.06 m
-0 4.38 l
-o
-1 0 0 rgb
-np
-225.85 202.14 m
-0 5.23 l
-o
-0 0 1 rgb
-np
-225.85 224.56 m
-0 4.33 l
-o
-1 0 0 rgb
-np
-230.15 202.96 m
-0 5.21 l
-o
-0 0 1 rgb
-np
-230.15 225.04 m
-0 4.28 l
-o
-1 0 0 rgb
-np
-234.45 203.74 m
-0 5.13 l
-o
-0 0 1 rgb
-np
-234.45 225.47 m
-0 4.23 l
-o
-1 0 0 rgb
-np
-238.75 204.42 m
-0 5.13 l
-o
-0 0 1 rgb
-np
-238.75 225.87 m
-0 4.18 l
-o
-1 0 0 rgb
-np
-243.05 204.97 m
-0 5.14 l
-o
-0 0 1 rgb
-np
-243.05 226.21 m
-0 4.14 l
-o
-1 0 0 rgb
-np
-247.35 205.55 m
-0 5.14 l
-o
-0 0 1 rgb
-np
-247.35 226.53 m
-0 4.08 l
-o
-1 0 0 rgb
-np
-251.65 206.12 m
-0 5.03 l
-o
-0 0 1 rgb
-np
-251.65 226.80 m
-0 4.09 l
-o
-1 0 0 rgb
-np
-255.95 206.55 m
-0 5.06 l
-o
-0 0 1 rgb
-np
-255.95 227.03 m
-0 4.11 l
-o
-1 0 0 rgb
-np
-260.25 206.90 m
-0 5.07 l
-o
-0 0 1 rgb
-np
-260.25 227.22 m
-0 4.15 l
-o
-1 0 0 rgb
-np
-264.55 207.12 m
-0 5.20 l
-o
-0 0 1 rgb
-np
-264.55 227.37 m
-0 4.20 l
-o
-1 0 0 rgb
-np
-268.85 207.40 m
-0 5.23 l
-o
-0 0 1 rgb
-np
-268.85 227.50 m
-0 4.24 l
-o
-1 0 0 rgb
-np
-273.15 207.60 m
-0 5.28 l
-o
-0 0 1 rgb
-np
-273.15 227.57 m
-0 4.32 l
-o
-1 0 0 rgb
-np
-277.45 207.66 m
-0 5.44 l
-o
-0 0 1 rgb
-np
-277.45 227.58 m
-0 4.42 l
-o
-1 0 0 rgb
-np
-281.75 207.57 m
-0 5.69 l
-o
-0 0 1 rgb
-np
-281.75 227.59 m
-0 4.49 l
-o
-1 0 0 rgb
-np
-286.05 207.51 m
-0 5.88 l
-o
-0 0 1 rgb
-np
-286.05 227.54 m
-0 4.62 l
-o
-1 0 0 rgb
-np
-290.35 207.31 m
-0 6.11 l
-o
-0 0 1 rgb
-np
-290.35 227.45 m
-0 4.74 l
-o
-1 0 0 rgb
-np
-294.65 207.10 m
-0 6.31 l
-o
-0 0 1 rgb
-np
-294.65 227.33 m
-0 4.89 l
-o
-1 0 0 rgb
-np
-298.95 206.77 m
-0 6.66 l
-o
-0 0 1 rgb
-np
-298.95 227.20 m
-0 4.98 l
-o
-1 0 0 rgb
-np
-303.25 206.42 m
-0 6.93 l
-o
-0 0 1 rgb
-np
-303.25 227.03 m
-0 5.08 l
-o
-1 0 0 rgb
-np
-307.55 205.94 m
-0 7.32 l
-o
-0 0 1 rgb
-np
-307.55 226.79 m
-0 5.26 l
-o
-1 0 0 rgb
-np
-311.85 205.49 m
-0 7.64 l
-o
-0 0 1 rgb
-np
-311.85 226.48 m
-0 5.45 l
-o
-1 0 0 rgb
-np
-316.15 204.84 m
-0 8.22 l
-o
-0 0 1 rgb
-np
-316.15 226.18 m
-0 5.67 l
-o
-1 0 0 rgb
-np
-320.45 204.10 m
-0 8.73 l
-o
-0 0 1 rgb
-np
-320.45 225.80 m
-0 5.91 l
-o
-1 0 0 rgb
-np
-324.75 203.35 m
-0 9.18 l
-o
-0 0 1 rgb
-np
-324.75 225.34 m
-0 6.25 l
-o
-1 0 0 rgb
-np
-329.05 202.52 m
-0 9.71 l
-o
-0 0 1 rgb
-np
-329.05 224.85 m
-0 6.58 l
-o
-1 0 0 rgb
-np
-333.35 201.59 m
-0 10.37 l
-o
-0 0 1 rgb
-np
-333.35 224.33 m
-0 6.95 l
-o
-1 0 0 rgb
-np
-337.65 200.59 m
-0 11.05 l
-o
-0 0 1 rgb
-np
-337.65 223.76 m
-0 7.32 l
-o
-1 0 0 rgb
-np
-341.95 199.30 m
-0 11.90 l
-o
-0 0 1 rgb
-np
-341.95 223.14 m
-0 7.71 l
-o
-1 0 0 rgb
-np
-346.25 198.05 m
-0 12.71 l
-o
-0 0 1 rgb
-np
-346.25 222.35 m
-0 8.21 l
-o
-1 0 0 rgb
-np
-350.55 196.73 m
-0 13.53 l
-o
-0 0 1 rgb
-np
-350.55 221.47 m
-0 8.81 l
-o
-1 0 0 rgb
-np
-354.85 195.23 m
-0 14.58 l
-o
-0 0 1 rgb
-np
-354.85 220.57 m
-0 9.39 l
-o
-1 0 0 rgb
-np
-359.15 193.56 m
-0 15.73 l
-o
-0 0 1 rgb
-np
-359.15 219.69 m
-0 9.98 l
-o
-1 0 0 rgb
-np
-363.45 191.84 m
-0 16.81 l
-o
-0 0 1 rgb
-np
-363.45 218.68 m
-0 10.65 l
-o
-1 0 0 rgb
-np
-367.75 189.96 m
-0 17.97 l
-o
-0 0 1 rgb
-np
-367.75 217.58 m
-0 11.37 l
-o
-1 0 0 rgb
-np
-372.05 187.97 m
-0 19.20 l
-o
-0 0 1 rgb
-np
-372.05 216.42 m
-0 12.07 l
-o
-1 0 0 rgb
-np
-376.35 185.80 m
-0 20.58 l
-o
-0 0 1 rgb
-np
-376.35 215.18 m
-0 12.80 l
-o
-1 0 0 rgb
-np
-380.66 183.51 m
-0 21.95 l
-o
-0 0 1 rgb
-np
-380.66 213.70 m
-0 13.75 l
-o
-1 0 0 rgb
-np
-384.96 181.21 m
-0 23.43 l
-o
-0 0 1 rgb
-np
-384.96 212.18 m
-0 14.78 l
-o
-1 0 0 rgb
-np
-389.26 178.61 m
-0 25.02 l
-o
-0 0 1 rgb
-np
-389.26 210.62 m
-0 15.80 l
-o
-1 0 0 rgb
-np
-393.56 175.67 m
-0 26.89 l
-o
-0 0 1 rgb
-np
-393.56 208.90 m
-0 16.95 l
-o
-0 0 0 rgb
-221.55 103.12 176.59 -36.00 r p1
-0 0 1 rgb
-np
-230.55 91.12 m
-18.00 0 l
-o
-1 0 0 rgb
-np
-230.55 79.12 m
-18.00 0 l
-o
-/ps 10 def R 10 s
-0 0 0 rgb
-257.55 87.81 (College Education \(16 years\)) 0 0 0 t
-257.55 75.81 (High School Education \(12 years\)) 0 0 0 t
-ep
-%%Trailer
-%%Pages: 1
-%%EOF
diff --git a/inst/doc/figs/vertci.pdf b/inst/doc/figs/vertci.pdf
deleted file mode 100644
index 57e7e50..0000000
--- a/inst/doc/figs/vertci.pdf
+++ /dev/null
@@ -1,820 +0,0 @@
-%PDF-1.1
-%���ρ�
-1 0 obj
-<<
-/CreationDate (D:20040203162858)
-/ModDate (D:20040203162858)
-/Title (R Graphics Output)
-/Producer (R 1.8.1)
-/Creator (R)
->>
-endobj
-2 0 obj
-<<
-/Type /Catalog
-/Pages 3 0 R
->>
-endobj
-4 0 obj
-<<
-/ProcSet [/PDF /Text]
-/Font << /F1 6 0 R /F2 7 0 R /F3 8 0 R /F4 9 0 R /F5 10 0 R /F6 11 0 R >>
->>
-endobj
-5 0 obj
-<<
-/Type /Encoding
-/BaseEncoding /PDFDocEncoding
-/Differences [ 45/minus 96/quoteleft
-144/dotlessi /grave /acute /circumflex /tilde /macron /breve /dotaccent
-/dieresis /.notdef /ring /cedilla /.notdef /hungarumlaut /ogonek /caron /space]
->>
-endobj
-6 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F1
-/BaseFont /Times-Roman
-/Encoding 5 0 R
->>
-endobj
-7 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F2
-/BaseFont /Times-Bold
-/Encoding 5 0 R
->>
-endobj
-8 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F3
-/BaseFont /Times-Italic
-/Encoding 5 0 R
->>
-endobj
-9 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F4
-/BaseFont /Times-BoldItalic
-/Encoding 5 0 R
->>
-endobj
-10 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F5
-/BaseFont /Symbol
->>
-endobj
-11 0 obj
-<<
-/Type /Font
-/Subtype /Type1
-/Name /F6
-/BaseFont /ZapfDingbats
->>
-endobj
-12 0 obj
-<<
-/Type /Page
-/Parent 3 0 R
-/Contents 13 0 R
-/Resources 4 0 R
->>
-endobj
-13 0 obj
-<<
-/Length 14 0 R
->>
-stream
-1 J 1 j 10 M q
-Q q
-0.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-71.04 61.20 m 329.05 61.20 l S
-71.04 61.20 m 71.04 55.20 l S
-157.05 61.20 m 157.05 55.20 l S
-243.05 61.20 m 243.05 55.20 l S
-329.05 61.20 m 329.05 55.20 l S
-BT
-0.000 0.000 0.000 rg
-/F1 1 Tf 10.00 0.00 -0.00 10.00 66.04 39.60 Tm (20) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 152.05 39.60 Tm (40) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 238.05 39.60 Tm (60) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 324.05 39.60 Tm (80) Tj
-ET
-49.20 86.70 m 49.20 218.04 l S
-49.20 86.70 m 43.20 86.70 l S
-49.20 119.53 m 43.20 119.53 l S
-49.20 152.37 m 43.20 152.37 l S
-49.20 185.20 m 43.20 185.20 l S
-49.20 218.04 m 43.20 218.04 l S
-BT
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 80.45 Tm (0.5) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 113.28 Tm (0.6) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 146.12 Tm (0.7) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 178.95 Tm (0.8) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 34.80 211.79 Tm (0.9) Tj
-ET
-49.20 61.20 m
-406.80 61.20 l
-406.80 238.80 l
-49.20 238.80 l
-49.20 61.20 l
-S
-Q q
-BT
-0.000 0.000 0.000 rg
-/F2 1 Tf 12.00 0.00 -0.00 12.00 105.19 259.34 Tm (Effect of Education and Age on Voting Behavior) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 202.57 15.60 Tm (Age in Years) Tj
-/F1 1 Tf 0.00 10.00 -10.00 0.00 10.80 87.98 Tm (Predicted Probability of Voting) Tj
-ET
-Q q 49.20 61.20 357.60 177.60 re W n
-1.000 0.000 0.000 RG
-0.75 w
-[] 0 d
-62.44 67.78 m
-62.44 84.69 l
-S
-0.000 0.000 1.000 RG
-62.44 126.02 m
-62.44 141.78 l
-S
-1.000 0.000 0.000 RG
-66.74 74.81 m
-66.74 90.78 l
-S
-0.000 0.000 1.000 RG
-66.74 132.51 m
-66.74 147.12 l
-S
-1.000 0.000 0.000 RG
-71.04 81.73 m
-71.04 96.80 l
-S
-0.000 0.000 1.000 RG
-71.04 138.82 m
-71.04 152.33 l
-S
-1.000 0.000 0.000 RG
-75.34 88.66 m
-75.34 102.61 l
-S
-0.000 0.000 1.000 RG
-75.34 144.78 m
-75.34 157.17 l
-S
-1.000 0.000 0.000 RG
-79.65 95.34 m
-79.65 108.38 l
-S
-0.000 0.000 1.000 RG
-79.65 150.40 m
-79.65 161.96 l
-S
-1.000 0.000 0.000 RG
-83.95 101.78 m
-83.95 113.76 l
-S
-0.000 0.000 1.000 RG
-83.95 155.62 m
-83.95 166.41 l
-S
-1.000 0.000 0.000 RG
-88.25 107.95 m
-88.25 118.97 l
-S
-0.000 0.000 1.000 RG
-88.25 160.64 m
-88.25 170.68 l
-S
-1.000 0.000 0.000 RG
-92.55 113.90 m
-92.55 124.16 l
-S
-0.000 0.000 1.000 RG
-92.55 165.26 m
-92.55 174.66 l
-S
-1.000 0.000 0.000 RG
-96.85 119.71 m
-96.85 129.11 l
-S
-0.000 0.000 1.000 RG
-96.85 169.74 m
-96.85 178.54 l
-S
-1.000 0.000 0.000 RG
-101.15 125.27 m
-101.15 134.02 l
-S
-0.000 0.000 1.000 RG
-101.15 173.99 m
-101.15 182.20 l
-S
-1.000 0.000 0.000 RG
-105.45 130.51 m
-105.45 138.79 l
-S
-0.000 0.000 1.000 RG
-105.45 177.84 m
-105.45 185.66 l
-S
-1.000 0.000 0.000 RG
-109.75 135.50 m
-109.75 143.35 l
-S
-0.000 0.000 1.000 RG
-109.75 181.48 m
-109.75 188.83 l
-S
-1.000 0.000 0.000 RG
-114.05 140.30 m
-114.05 147.75 l
-S
-0.000 0.000 1.000 RG
-114.05 184.89 m
-114.05 191.92 l
-S
-1.000 0.000 0.000 RG
-118.35 144.80 m
-118.35 152.01 l
-S
-0.000 0.000 1.000 RG
-118.35 188.09 m
-118.35 194.81 l
-S
-1.000 0.000 0.000 RG
-122.65 149.08 m
-122.65 156.02 l
-S
-0.000 0.000 1.000 RG
-122.65 191.12 m
-122.65 197.53 l
-S
-1.000 0.000 0.000 RG
-126.95 153.17 m
-126.95 159.86 l
-S
-0.000 0.000 1.000 RG
-126.95 193.76 m
-126.95 200.12 l
-S
-1.000 0.000 0.000 RG
-131.25 157.04 m
-131.25 163.41 l
-S
-0.000 0.000 1.000 RG
-131.25 196.46 m
-131.25 202.54 l
-S
-1.000 0.000 0.000 RG
-135.55 160.64 m
-135.55 166.91 l
-S
-0.000 0.000 1.000 RG
-135.55 198.83 m
-135.55 204.82 l
-S
-1.000 0.000 0.000 RG
-139.85 164.02 m
-139.85 170.19 l
-S
-0.000 0.000 1.000 RG
-139.85 201.06 m
-139.85 206.95 l
-S
-1.000 0.000 0.000 RG
-144.15 167.19 m
-144.15 173.38 l
-S
-0.000 0.000 1.000 RG
-144.15 203.15 m
-144.15 208.91 l
-S
-1.000 0.000 0.000 RG
-148.45 170.17 m
-148.45 176.30 l
-S
-0.000 0.000 1.000 RG
-148.45 205.14 m
-148.45 210.79 l
-S
-1.000 0.000 0.000 RG
-152.75 172.98 m
-152.75 179.13 l
-S
-0.000 0.000 1.000 RG
-152.75 207.00 m
-152.75 212.51 l
-S
-1.000 0.000 0.000 RG
-157.05 175.76 m
-157.05 181.79 l
-S
-0.000 0.000 1.000 RG
-157.05 208.73 m
-157.05 214.11 l
-S
-1.000 0.000 0.000 RG
-161.35 178.31 m
-161.35 184.24 l
-S
-0.000 0.000 1.000 RG
-161.35 210.31 m
-161.35 215.62 l
-S
-1.000 0.000 0.000 RG
-165.65 180.73 m
-165.65 186.60 l
-S
-0.000 0.000 1.000 RG
-165.65 211.77 m
-165.65 217.05 l
-S
-1.000 0.000 0.000 RG
-169.95 183.00 m
-169.95 188.83 l
-S
-0.000 0.000 1.000 RG
-169.95 213.17 m
-169.95 218.36 l
-S
-1.000 0.000 0.000 RG
-174.25 185.09 m
-174.25 190.98 l
-S
-0.000 0.000 1.000 RG
-174.25 214.46 m
-174.25 219.60 l
-S
-1.000 0.000 0.000 RG
-178.55 187.08 m
-178.55 192.88 l
-S
-0.000 0.000 1.000 RG
-178.55 215.68 m
-178.55 220.74 l
-S
-1.000 0.000 0.000 RG
-182.85 188.93 m
-182.85 194.71 l
-S
-0.000 0.000 1.000 RG
-182.85 216.79 m
-182.85 221.81 l
-S
-1.000 0.000 0.000 RG
-187.15 190.71 m
-187.15 196.43 l
-S
-0.000 0.000 1.000 RG
-187.15 217.83 m
-187.15 222.78 l
-S
-1.000 0.000 0.000 RG
-191.45 192.30 m
-191.45 198.04 l
-S
-0.000 0.000 1.000 RG
-191.45 218.81 m
-191.45 223.67 l
-S
-1.000 0.000 0.000 RG
-195.75 193.84 m
-195.75 199.53 l
-S
-0.000 0.000 1.000 RG
-195.75 219.73 m
-195.75 224.55 l
-S
-1.000 0.000 0.000 RG
-200.05 195.29 m
-200.05 200.96 l
-S
-0.000 0.000 1.000 RG
-200.05 220.60 m
-200.05 225.33 l
-S
-1.000 0.000 0.000 RG
-204.35 196.68 m
-204.35 202.26 l
-S
-0.000 0.000 1.000 RG
-204.35 221.41 m
-204.35 226.10 l
-S
-1.000 0.000 0.000 RG
-208.65 197.96 m
-208.65 203.47 l
-S
-0.000 0.000 1.000 RG
-208.65 222.14 m
-208.65 226.76 l
-S
-1.000 0.000 0.000 RG
-212.95 199.12 m
-212.95 204.55 l
-S
-0.000 0.000 1.000 RG
-212.95 222.85 m
-212.95 227.38 l
-S
-1.000 0.000 0.000 RG
-217.25 200.24 m
-217.25 205.56 l
-S
-0.000 0.000 1.000 RG
-217.25 223.47 m
-217.25 227.94 l
-S
-1.000 0.000 0.000 RG
-221.55 201.24 m
-221.55 206.49 l
-S
-0.000 0.000 1.000 RG
-221.55 224.06 m
-221.55 228.44 l
-S
-1.000 0.000 0.000 RG
-225.85 202.14 m
-225.85 207.37 l
-S
-0.000 0.000 1.000 RG
-225.85 224.56 m
-225.85 228.89 l
-S
-1.000 0.000 0.000 RG
-230.15 202.96 m
-230.15 208.17 l
-S
-0.000 0.000 1.000 RG
-230.15 225.04 m
-230.15 229.32 l
-S
-1.000 0.000 0.000 RG
-234.45 203.74 m
-234.45 208.87 l
-S
-0.000 0.000 1.000 RG
-234.45 225.47 m
-234.45 229.70 l
-S
-1.000 0.000 0.000 RG
-238.75 204.42 m
-238.75 209.55 l
-S
-0.000 0.000 1.000 RG
-238.75 225.87 m
-238.75 230.05 l
-S
-1.000 0.000 0.000 RG
-243.05 204.97 m
-243.05 210.11 l
-S
-0.000 0.000 1.000 RG
-243.05 226.21 m
-243.05 230.35 l
-S
-1.000 0.000 0.000 RG
-247.35 205.55 m
-247.35 210.69 l
-S
-0.000 0.000 1.000 RG
-247.35 226.53 m
-247.35 230.61 l
-S
-1.000 0.000 0.000 RG
-251.65 206.12 m
-251.65 211.15 l
-S
-0.000 0.000 1.000 RG
-251.65 226.80 m
-251.65 230.89 l
-S
-1.000 0.000 0.000 RG
-255.95 206.55 m
-255.95 211.61 l
-S
-0.000 0.000 1.000 RG
-255.95 227.03 m
-255.95 231.14 l
-S
-1.000 0.000 0.000 RG
-260.25 206.90 m
-260.25 211.97 l
-S
-0.000 0.000 1.000 RG
-260.25 227.22 m
-260.25 231.37 l
-S
-1.000 0.000 0.000 RG
-264.55 207.12 m
-264.55 212.32 l
-S
-0.000 0.000 1.000 RG
-264.55 227.37 m
-264.55 231.57 l
-S
-1.000 0.000 0.000 RG
-268.85 207.40 m
-268.85 212.63 l
-S
-0.000 0.000 1.000 RG
-268.85 227.50 m
-268.85 231.74 l
-S
-1.000 0.000 0.000 RG
-273.15 207.60 m
-273.15 212.88 l
-S
-0.000 0.000 1.000 RG
-273.15 227.57 m
-273.15 231.89 l
-S
-1.000 0.000 0.000 RG
-277.45 207.66 m
-277.45 213.10 l
-S
-0.000 0.000 1.000 RG
-277.45 227.58 m
-277.45 232.00 l
-S
-1.000 0.000 0.000 RG
-281.75 207.57 m
-281.75 213.26 l
-S
-0.000 0.000 1.000 RG
-281.75 227.59 m
-281.75 232.08 l
-S
-1.000 0.000 0.000 RG
-286.05 207.51 m
-286.05 213.39 l
-S
-0.000 0.000 1.000 RG
-286.05 227.54 m
-286.05 232.16 l
-S
-1.000 0.000 0.000 RG
-290.35 207.31 m
-290.35 213.42 l
-S
-0.000 0.000 1.000 RG
-290.35 227.45 m
-290.35 232.19 l
-S
-1.000 0.000 0.000 RG
-294.65 207.10 m
-294.65 213.41 l
-S
-0.000 0.000 1.000 RG
-294.65 227.33 m
-294.65 232.22 l
-S
-1.000 0.000 0.000 RG
-298.95 206.77 m
-298.95 213.43 l
-S
-0.000 0.000 1.000 RG
-298.95 227.20 m
-298.95 232.18 l
-S
-1.000 0.000 0.000 RG
-303.25 206.42 m
-303.25 213.35 l
-S
-0.000 0.000 1.000 RG
-303.25 227.03 m
-303.25 232.11 l
-S
-1.000 0.000 0.000 RG
-307.55 205.94 m
-307.55 213.26 l
-S
-0.000 0.000 1.000 RG
-307.55 226.79 m
-307.55 232.05 l
-S
-1.000 0.000 0.000 RG
-311.85 205.49 m
-311.85 213.13 l
-S
-0.000 0.000 1.000 RG
-311.85 226.48 m
-311.85 231.93 l
-S
-1.000 0.000 0.000 RG
-316.15 204.84 m
-316.15 213.06 l
-S
-0.000 0.000 1.000 RG
-316.15 226.18 m
-316.15 231.85 l
-S
-1.000 0.000 0.000 RG
-320.45 204.10 m
-320.45 212.83 l
-S
-0.000 0.000 1.000 RG
-320.45 225.80 m
-320.45 231.71 l
-S
-1.000 0.000 0.000 RG
-324.75 203.35 m
-324.75 212.53 l
-S
-0.000 0.000 1.000 RG
-324.75 225.34 m
-324.75 231.59 l
-S
-1.000 0.000 0.000 RG
-329.05 202.52 m
-329.05 212.23 l
-S
-0.000 0.000 1.000 RG
-329.05 224.85 m
-329.05 231.43 l
-S
-1.000 0.000 0.000 RG
-333.35 201.59 m
-333.35 211.96 l
-S
-0.000 0.000 1.000 RG
-333.35 224.33 m
-333.35 231.28 l
-S
-1.000 0.000 0.000 RG
-337.65 200.59 m
-337.65 211.64 l
-S
-0.000 0.000 1.000 RG
-337.65 223.76 m
-337.65 231.08 l
-S
-1.000 0.000 0.000 RG
-341.95 199.30 m
-341.95 211.20 l
-S
-0.000 0.000 1.000 RG
-341.95 223.14 m
-341.95 230.85 l
-S
-1.000 0.000 0.000 RG
-346.25 198.05 m
-346.25 210.76 l
-S
-0.000 0.000 1.000 RG
-346.25 222.35 m
-346.25 230.56 l
-S
-1.000 0.000 0.000 RG
-350.55 196.73 m
-350.55 210.26 l
-S
-0.000 0.000 1.000 RG
-350.55 221.47 m
-350.55 230.28 l
-S
-1.000 0.000 0.000 RG
-354.85 195.23 m
-354.85 209.81 l
-S
-0.000 0.000 1.000 RG
-354.85 220.57 m
-354.85 229.96 l
-S
-1.000 0.000 0.000 RG
-359.15 193.56 m
-359.15 209.29 l
-S
-0.000 0.000 1.000 RG
-359.15 219.69 m
-359.15 229.67 l
-S
-1.000 0.000 0.000 RG
-363.45 191.84 m
-363.45 208.65 l
-S
-0.000 0.000 1.000 RG
-363.45 218.68 m
-363.45 229.33 l
-S
-1.000 0.000 0.000 RG
-367.75 189.96 m
-367.75 207.93 l
-S
-0.000 0.000 1.000 RG
-367.75 217.58 m
-367.75 228.95 l
-S
-1.000 0.000 0.000 RG
-372.05 187.97 m
-372.05 207.17 l
-S
-0.000 0.000 1.000 RG
-372.05 216.42 m
-372.05 228.49 l
-S
-1.000 0.000 0.000 RG
-376.35 185.80 m
-376.35 206.38 l
-S
-0.000 0.000 1.000 RG
-376.35 215.18 m
-376.35 227.98 l
-S
-1.000 0.000 0.000 RG
-380.66 183.51 m
-380.66 205.46 l
-S
-0.000 0.000 1.000 RG
-380.66 213.70 m
-380.66 227.45 l
-S
-1.000 0.000 0.000 RG
-384.96 181.21 m
-384.96 204.64 l
-S
-0.000 0.000 1.000 RG
-384.96 212.18 m
-384.96 226.96 l
-S
-1.000 0.000 0.000 RG
-389.26 178.61 m
-389.26 203.63 l
-S
-0.000 0.000 1.000 RG
-389.26 210.62 m
-389.26 226.42 l
-S
-1.000 0.000 0.000 RG
-393.56 175.67 m
-393.56 202.56 l
-S
-0.000 0.000 1.000 RG
-393.56 208.90 m
-393.56 225.85 l
-S
-0.000 0.000 0.000 RG
-221.55 103.12 176.59 -36.00 re S
-0.000 0.000 1.000 RG
-230.55 91.12 m 248.55 91.12 l S
-1.000 0.000 0.000 RG
-230.55 79.12 m 248.55 79.12 l S
-BT
-0.000 0.000 0.000 rg
-/F1 1 Tf 10.00 0.00 -0.00 10.00 257.55 87.81 Tm (College Education \(16 years\)) Tj
-/F1 1 Tf 10.00 0.00 -0.00 10.00 257.55 75.81 Tm (High School Education \(12 years\)) Tj
-ET
-Q
-endstream
-endobj
-14 0 obj
-10246
-endobj
-3 0 obj
-<<
-/Type /Pages
-/Kids [
-12 0 R
-]
-/Count 1
-/MediaBox [0 0 432 288]
->>
-endobj
-xref
-0 15
-0000000000 65535 f 
-0000000020 00000 n 
-0000000162 00000 n 
-0000011548 00000 n 
-0000000211 00000 n 
-0000000328 00000 n 
-0000000584 00000 n 
-0000000682 00000 n 
-0000000779 00000 n 
-0000000878 00000 n 
-0000000981 00000 n 
-0000001059 00000 n 
-0000001143 00000 n 
-0000001225 00000 n 
-0000011526 00000 n 
-trailer
-<<
-/Size 15
-/Info 1 0 R
-/Root 2 0 R
->>
-startxref
-11632
-%%EOF
diff --git a/inst/doc/forMake.sh b/inst/doc/forMake.sh
new file mode 100755
index 0000000..ac0dfb8
--- /dev/null
+++ b/inst/doc/forMake.sh
@@ -0,0 +1,93 @@
+#!/bin/sh
+
+
+##
+## This file is called by Makefile. It does the followings:
+## 1.run pdf latex to each tex file produced by R CMD build
+## 2.remove header and footer or each tex file so that it's ready for inclusion by zelig.tex
+## 3.convert all Rd files to tex file so that they are ready for inclusion by zelig.tex
+##
+
+## get name of the models and save them in a file
+echo "library(Zelig); a<-zeligListModels(); write(a,file='tmp.txt');" | R --vanilla --slave
+
+## at this point, Sweave should have been run and produced tex files
+for f in `cat tmp.txt`
+  do 
+if [ "$f" != "beta" ]
+then
+  #if [ "$RBUILD" != "TRUE" ]
+  #    then
+  echo "Sweave(\"$f.Rnw\")" | R --slave
+  #fi
+  
+  ## create pdfs for all the tex file produced by sweave
+  pdflatex $f.tex
+  
+  ## remove header and footer from the tex file so that they are ready 
+  ## for inclusion in big zelig manual
+  perl -i -ne 'print unless /^\\include{zinput}$/ .. /^\\begin{document}$/' $f.tex
+  perl -i -p -e 's#\\end{document}# #i' $f.tex
+fi
+done
+
+## run R CMD Rdconv to rd files
+## create commandsRd folder if does not exists
+
+if [ ! -d commandsRd ]
+then
+    mkdir commandsRd
+fi
+Rdfiles=`ls ../../man`
+for rd in ${Rdfiles}
+  do
+  newname=`basename ${rd} .Rd`
+  R CMD Rdconv -t=latex ../../man/${rd} -o commandsRd/${newname}.tex
+  
+  ### perl -i -pe 's#HeaderA{#section{{\\tt #i' commandsRd/${newname}.tex
+  perl -i -pe 's#HeaderA{(.*)}{(.*)}{(.*)}#section{{\\tt \1}: \2}\\label{ss:\3}#i' commandsRd/${newname}.tex 
+done
+
+
+## create the big Zelig manual
+pdflatex zelig
+bibtex zelig
+pdflatex zelig
+pdflatex zelig
+pdflatex zelig
+
+
+#for f in `cat tmp.txt`
+#do
+#rm -f $f.tex
+#done
+
+## remove the files with the name of the models
+rm tmp.txt
+
+
+
+## do some cleanup
+rm -f *.aux *.toc *.log *.out *.blg *.bbl
+
+
+
+
+
+
+
+
+#### here is how u delete the \end{document}
+#### perl -i.old -p -e 's#\\end{document}# #i' try
+
+#### delete first 10 lines 
+#### perl -i.old -ne 'print unless 1 .. 10' foo.txt
+
+#### \SweaveOpts{result=hide}
+#### perl -i.old -p -e 's#\\include{zinput}#\\SweaveOpts{results=hide}\n\\include{zinput}#i' *.Rnw
+
+### change dependencies line
+### perl -i.old -p -e 's#See Package dependencies#Zelig#i' *.Rnw
+
+#### thats how u remove the header from tex files
+#### perl -i.old -ne 'print unless /^\\include{zinput}$/ .. /^\\begin{document}$/' try
diff --git a/inst/doc/gamma.Rnw b/inst/doc/gamma.Rnw
new file mode 100644
index 0000000..c94ac50
--- /dev/null
+++ b/inst/doc/gamma.Rnw
@@ -0,0 +1,264 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/gamma}
+\include{zinput}
+%\VignetteIndexEntry{Gamma Regression for Continuous, Positive Dependent Variables}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,regression,gamma distribution}
+%\VignettePackage{Zelig, stats}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{{\tt gamma}: Gamma Regression for Continuous, Positive Dependent Variables}\label{gamma}
+
+Use the gamma regression model if you have a positive-valued dependent
+variable such as the number of years a parliamentary cabinet endures,
+or the seconds you can stay airborne while jumping.  The gamma
+distribution assumes that all waiting times are complete by the end
+of the study (censoring is not allowed).
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "gamma", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out, x1 = NULL)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for gamma regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Example}
+
+Attach the sample data: 
+<<Example.data>>=
+ data(coalition)
+@ 
+Estimate the model: 
+<<Example.zelig>>=
+ z.out <- zelig(duration ~ fract + numst2, model = "gamma", data = coalition)
+@ 
+View the regression output:  
+<<Example.summary>>=
+ summary(z.out)
+@ 
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+<<Example.setx>>=
+ x.low <- setx(z.out, numst2 = 0)
+ x.high <- setx(z.out, numst2 = 1)
+@ 
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt qi\$fd}):
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.low, x1 = x.high)
+@ 
+<<Example.summary>>=
+summary(s.out)
+@ 
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=true>>=
+ plot(s.out)
+@ 
+\end{center}
+
+\subsubsection{Model}
+
+\begin{itemize}
+\item The Gamma distribution with scale parameter $\alpha$ has a
+\emph{stochastic component}:
+\begin{eqnarray*}
+Y &\sim& \textrm{Gamma}(y_i \mid \lambda_i, \alpha) \\
+f(y)  &=& \frac{1}{\alpha^{\lambda_i} \, \Gamma \lambda_i} \, y_i^{\lambda_i
+  - 1} \exp -\left\{ \frac{y_i}{\alpha} \right\}
+\end{eqnarray*}
+for $\alpha, \lambda_i, y_i > 0$.  \\
+
+\item The \emph{systematic component} is given by
+\begin{equation*}
+  \lambda_i = \frac{1}{x_i \beta}
+\end{equation*}
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) are simulations of the mean
+  of the stochastic component given draws of $\alpha$ and
+  $\beta$ from their posteriors:  $$E(Y) = \alpha_i \lambda.$$  
+\item The predicted values ({\tt qi\$pr}) are draws from the gamma
+  distribution for each given set of parameters $(\alpha, \lambda_i)$.
+\item If {\tt x1} is specified, {\tt sim()} also returns the
+  differences in the expected values ({\tt qi\$fd}), $$E(Y \mid x_1) -
+  E(Y \mid x)$$.
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.  
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "gamma", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: the vector of fitted values.
+   \item {\tt linear.predictors}: the vector of $x_{i}\beta$.
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from a
+     distribution defined by $(\alpha_i, \lambda)$.
+   \item {\tt qi\$fd}: the simulated first difference in the expected
+     values for the specified values in {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The gamma model is part of the stats package by William N. Venables and
+Brian D. Ripley.  Users should cite this model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse} 
+
+In addition, advanced users may wish to refer to
+\texttt{help(glm)} and \texttt{help(family)}, as well as
+\begin{verse}
+\bibentry{McCNel89}.
+\end{verse}
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/gamma.pdf b/inst/doc/gamma.pdf
new file mode 100644
index 0000000..6f03b9c
Binary files /dev/null and b/inst/doc/gamma.pdf differ
diff --git a/inst/doc/gamma.tex b/inst/doc/gamma.tex
new file mode 100644
index 0000000..31a70fb
--- /dev/null
+++ b/inst/doc/gamma.tex
@@ -0,0 +1,266 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Gamma Regression for Continuous, Positive Dependent Variables}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,regression,gamma distribution}
+%\VignettePackage{Zelig, stats}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt gamma}: Gamma Regression for Continuous, Positive Dependent Variables}\label{gamma}
+
+Use the gamma regression model if you have a positive-valued dependent
+variable such as the number of years a parliamentary cabinet endures,
+or the seconds you can stay airborne while jumping.  The gamma
+distribution assumes that all waiting times are complete by the end
+of the study (censoring is not allowed).
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "gamma", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out, x1 = NULL)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for gamma regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Example}
+
+Attach the sample data: 
+\begin{Schunk}
+\begin{Sinput}
+> data(coalition)
+\end{Sinput}
+\end{Schunk}
+Estimate the model: 
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(duration ~ fract + numst2, model = "gamma", data = coalition)
+\end{Sinput}
+\end{Schunk}
+View the regression output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, numst2 = 0)
+> x.high <- setx(z.out, numst2 = 1)
+\end{Sinput}
+\end{Schunk}
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt qi\$fd}):
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.low, x1 = x.high)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/gamma-ExamplePlot}
+\end{center}
+
+\subsubsection{Model}
+
+\begin{itemize}
+\item The Gamma distribution with scale parameter $\alpha$ has a
+\emph{stochastic component}:
+\begin{eqnarray*}
+Y &\sim& \textrm{Gamma}(y_i \mid \lambda_i, \alpha) \\
+f(y)  &=& \frac{1}{\alpha^{\lambda_i} \, \Gamma \lambda_i} \, y_i^{\lambda_i
+  - 1} \exp -\left\{ \frac{y_i}{\alpha} \right\}
+\end{eqnarray*}
+for $\alpha, \lambda_i, y_i > 0$.  \\
+
+\item The \emph{systematic component} is given by
+\begin{equation*}
+  \lambda_i = \frac{1}{x_i \beta}
+\end{equation*}
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) are simulations of the mean
+  of the stochastic component given draws of $\alpha$ and
+  $\beta$ from their posteriors:  $$E(Y) = \alpha_i \lambda.$$  
+\item The predicted values ({\tt qi\$pr}) are draws from the gamma
+  distribution for each given set of parameters $(\alpha, \lambda_i)$.
+\item If {\tt x1} is specified, {\tt sim()} also returns the
+  differences in the expected values ({\tt qi\$fd}), $$E(Y \mid x_1) -
+  E(Y \mid x)$$.
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.  
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "gamma", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: the vector of fitted values.
+   \item {\tt linear.predictors}: the vector of $x_{i}\beta$.
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from a
+     distribution defined by $(\alpha_i, \lambda)$.
+   \item {\tt qi\$fd}: the simulated first difference in the expected
+     values for the specified values in {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The gamma model is part of the stats package by William N. Venables and
+Brian D. Ripley.  Users should cite this model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse} 
+
+In addition, advanced users may wish to refer to
+\texttt{help(glm)} and \texttt{help(family)}, as well as
+\begin{verse}
+\bibentry{McCNel89}.
+\end{verse}
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/index.shtml b/inst/doc/index.shtml
index 2080880..d05b287 100644
--- a/inst/doc/index.shtml
+++ b/inst/doc/index.shtml
@@ -12,7 +12,7 @@
 <a href="http://www.people.fas.harvard.edu/~olau/">Olivia Lau</a>
 <br /><br />
 <!-- rbuild: replace 'Version:' '</b>' version -->
-<b>Version:2.8-3</b>
+<b>Version:2.8-4</b>
 
 <table border='0' cellpadding='0' cellspacing='8'><tr><td valign='top' width='200'>
 <p !style="float:left; width: 200; margin: 1.5em;"> <a
diff --git a/inst/doc/install.R b/inst/doc/install.R
deleted file mode 100644
index 8abf04b..0000000
--- a/inst/doc/install.R
+++ /dev/null
@@ -1,13 +0,0 @@
-if (! "MASS" %in% installed.packages()[,"Package"])
-  install.packages("MASS", CRAN = "http://cran.cnr.berkeley.edu/")
-
-install.packages("Zelig", repos = "http://cran.us.r-project.org/")
-##install.packages("Zelig", repos = "http://gking.harvard.edu")
-install.packages("zoo", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("sandwich", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("MCMCpack", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("coda", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("lattice", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("mvtnorm", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("VGAM", repos = "http://cran.cnr.berkeley.edu/")
-install.packages("sna", repos = "http://cran.cnr.berkeley.edu/")
diff --git a/inst/doc/irt1d.Rnw b/inst/doc/irt1d.Rnw
new file mode 100644
index 0000000..6561f14
--- /dev/null
+++ b/inst/doc/irt1d.Rnw
@@ -0,0 +1,279 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/irt1d}
+\include{zinput}
+%\VignetteIndexEntry{ One Dimensional Item Response Mode}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,item response,dichotomous, Gibbs}
+%\VignettePackage{Zelig, stats}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{\texttt{irt1d}: One Dimensional Item Response Model}
+
+\label{irt1d}
+
+Given several observed dependent variables and an unobserved
+explanatory variable, item response theory estimates the latent
+variable (ideal points).  The model is estimated using the Markov
+Chain Monte Carlo algorithm via a Gibbs sampler and data augmentation.
+Use this model if you believe that the ideal points lie in one
+dimension, and see the $k$-dimensional item response model
+(\Sref{irtkd}) for $k$ hypothesized latent variables.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, model = "irt1d", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+\texttt{irt1d} accepts the following argument:
+\begin{itemize}
+\item \texttt{Y1, Y2}, and \texttt{Y3}: \texttt{Y1} contains the items for 
+subject ``Y1'', \texttt{Y2} contains the items for subject ``Y2'', and
+so on.
+\end{itemize}
+
+\subsubsection{Additional arguments}
+
+\texttt{irt1d} accepts the following additional arguments for model specification:
+
+\begin{itemize}
+\item \texttt{theta.constraints}: a list specifying possible equality
+or inequality constraints on the ability parameters $\theta$.  A
+typical entry takes one of the following forms:  
+
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = c}:  constrains the ability parameter for the subject named 
+\texttt{varname} to be equal to \texttt{c}. 
+
+\item \texttt{varname = "+"}: constrains the ability parameter for the subject named 
+\texttt{varname} to be positive. 
+
+\item \texttt{varname = "-"}: constrains the ability parameter for the
+subject named {\tt varname} to be negative.
+
+\end{itemize}
+\end{itemize} 
+
+The model also accepts the following arguments to monitor the sampling
+scheme for the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen. 
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{theta.start}: starting values for the subject abilities
+(ideal points), either a scalar or a vector with length equal to the
+number of subjects. If a scalar, that value will be the starting value
+for all subjects. The default is \texttt{NA}, which sets the starting
+values based on an eigenvalue-eigenvector decomposition of the
+agreement score matrix formed from the model response matrix
+(\texttt{cbind(Y1, Y2, ...)}).
+
+\item \texttt{alpha.start}: starting values for the difficulty
+parameters $\alpha$, either a scalar or a vector with length equal to
+the number of the items. If a scalar, the value will be the starting
+value for all $\alpha$. The default is \texttt{NA}, which sets the
+starting values based on a series of probit regressions that condition
+on \texttt{theta.start}.
+
+\item \texttt{beta.start}: starting values for the $\beta$ discrimination
+parameters, either a scalar or a vector with length equal to the
+number of the items. If a scalar, the value will be the starting value
+for all $\beta$. The default is \texttt{NA}, which sets the starting
+values based on a series of probit regressions conditioning on
+\texttt{theta.start}.
+
+\item \texttt{store.item}: defaults to {\tt TRUE}, storing the
+posterior draws of the item parameters.  (For a large number of draws or
+a large number observations, this may take a lot of memory.)  
+
+\item \texttt{drop.constant.items}: defaults to {\tt TRUE}, dropping
+items with no variation before fitting the model.  
+
+\end{itemize}
+
+\noindent \texttt{irt1d} accepts the following additional arguments to 
+specify prior parameters used in the model:
+
+\begin{itemize}
+
+\item \texttt{t0}: prior mean of the subject abilities
+(ideal points). The default is 0.
+
+\item \texttt{T0}: prior precision of the subject abilities
+(ideal points). The default is 0.
+
+\item \texttt{ab0}: prior mean of $(\alpha, \beta)$. It can be a scalar or
+a vector of length 2. If it takes a scalar value, then the prior means for
+both $\alpha$ and $\beta$ will be set to that value. The default is 0. 
+
+\item \texttt{AB0}: prior precision of $(\alpha, \beta)$. It can be 
+a scalar or a $2 \times 2$ matrix. If it takes a scalar value, 
+then the prior precision will be \texttt{diag(AB0,2)}. The prior precision
+is assumed to be same for all the items. The default is 0.25.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCirt1d)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<Example.data>>=
+ data(SupremeCourt)
+names(SupremeCourt) <- c("Rehnquist","Stevens","OConnor","Scalia",
+                         "Kennedy","Souter","Thomas","Ginsburg","Breyer")
+
+@ 
+Fitting a one-dimensional item response theory model using \texttt{irt1d}:
+<<Example.zelig>>=
+ z.out <- zelig(cbind(Rehnquist, Stevens, OConnor, Scalia, Kennedy,
+                       Souter, Thomas, Ginsburg, Breyer) ~ NULL,
+               data = SupremeCourt, model = "irt1d",
+               B0.alpha = 0.2, B0.beta = 0.2, burnin = 500, mcmc = 10000,
+               thin = 20, verbose = TRUE)
+@ 
+
+Checking for convergence before summarizing the estimates:
+<<Example.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<Example.heidel>>= 
+heidel.diag(z.out$coefficients)
+@ 
+<<Example.summary>>=
+ summary(z.out)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be a vector of choices on $J$ items made by subject $i$ for
+$i=1, \ldots, n$. The choice $Y_{ij}$ is assumed to be determined by
+an unobserved utility $Z_{ij}$, which is a function of the subject $i$'s
+abilities (ideal points) $\theta_i$ and item parameters $\alpha_j$ and
+$\beta_j$ as follows:  
+\begin{eqnarray*}
+Z_{ij} &=& -\alpha_j + \beta_j' \theta_i + \epsilon_{ij}.
+\end{eqnarray*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{ij}  &  \sim & \textrm{Bernoulli}(\pi_{ij}) \\
+& = & \pi_{ij}^{Y_{ij}}(1-\pi_{ij})^{1-Y_{ij}},
+\end{eqnarray*}
+where $\pi_{ij}=\Pr(Y_{ij}=1)=E(Z_{ij})$.
+
+The error term in the unobserved utility equation is independently
+and identically distributed with 
+\begin{eqnarray*}
+\epsilon_{ij} \sim \textrm{Normal}(0, 1).
+\end{eqnarray*}
+
+\item The \emph{systematic component} is given by
+
+\begin{eqnarray*}
+\pi_{ij}= \Phi(-\alpha_j + \beta_j' \theta_i),
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function of the standard
+normal distribution with mean 0 and variance 1, $\theta_i$ is the
+subject ability (ideal point) parameter, and $\alpha_j$ and $\beta_j$
+are the item parameters. Both subject abilities and item parameters
+are estimated from the model, such that the model is identified by
+placing constraints on the subject ability parameters.
+
+\item The \emph{prior} for $\theta_i$ is given by
+\begin{eqnarray*}
+\theta_i &\sim& \textrm{Normal} \left(  t_{0},T_{0}^{-1}\right)
+\end{eqnarray*}
+
+\item The joint \emph{prior} for $\alpha_j$ and $\beta_j$ is given by
+\begin{eqnarray*}
+(\alpha_j, \beta_j)' &\sim& \textrm{Normal}\left(  ab_{0},AB_{0}^{-1}\right)
+\end{eqnarray*}
+where $ab_0$ is a 2-vector of prior means and $AB_0$ is a $2 \times 2$ prior
+precision matrix.
+
+\end{itemize}
+ 
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, model = "irt1d", data)
+\end{verbatim}
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view 
+a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated subject abilities(ideal points). If
+\texttt{store.item = TRUE}, the estimated item parameters $\alpha$ and
+$\beta$ are also contained in \texttt{coefficients}.
+
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()}
+procedure is not applicable for item response models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+The unidimensional item-response \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{irt1d} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/irt1d.pdf b/inst/doc/irt1d.pdf
new file mode 100644
index 0000000..c8bbf75
Binary files /dev/null and b/inst/doc/irt1d.pdf differ
diff --git a/inst/doc/irt1d.tex b/inst/doc/irt1d.tex
new file mode 100644
index 0000000..e3b9f8d
--- /dev/null
+++ b/inst/doc/irt1d.tex
@@ -0,0 +1,274 @@
+
+\include{zinput}
+%\VignetteIndexEntry{ One Dimensional Item Response Mode}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,item response,dichotomous, Gibbs}
+%\VignettePackage{Zelig, stats}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{irt1d}: One Dimensional Item Response Model}
+
+\label{irt1d}
+
+Given several observed dependent variables and an unobserved
+explanatory variable, item response theory estimates the latent
+variable (ideal points).  The model is estimated using the Markov
+Chain Monte Carlo algorithm via a Gibbs sampler and data augmentation.
+Use this model if you believe that the ideal points lie in one
+dimension, and see the $k$-dimensional item response model
+(\Sref{irtkd}) for $k$ hypothesized latent variables.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, model = "irt1d", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+\texttt{irt1d} accepts the following argument:
+\begin{itemize}
+\item \texttt{Y1, Y2}, and \texttt{Y3}: \texttt{Y1} contains the items for 
+subject ``Y1'', \texttt{Y2} contains the items for subject ``Y2'', and
+so on.
+\end{itemize}
+
+\subsubsection{Additional arguments}
+
+\texttt{irt1d} accepts the following additional arguments for model specification:
+
+\begin{itemize}
+\item \texttt{theta.constraints}: a list specifying possible equality
+or inequality constraints on the ability parameters $\theta$.  A
+typical entry takes one of the following forms:  
+
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = c}:  constrains the ability parameter for the subject named 
+\texttt{varname} to be equal to \texttt{c}. 
+
+\item \texttt{varname = "+"}: constrains the ability parameter for the subject named 
+\texttt{varname} to be positive. 
+
+\item \texttt{varname = "-"}: constrains the ability parameter for the
+subject named {\tt varname} to be negative.
+
+\end{itemize}
+\end{itemize} 
+
+The model also accepts the following arguments to monitor the sampling
+scheme for the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen. 
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{theta.start}: starting values for the subject abilities
+(ideal points), either a scalar or a vector with length equal to the
+number of subjects. If a scalar, that value will be the starting value
+for all subjects. The default is \texttt{NA}, which sets the starting
+values based on an eigenvalue-eigenvector decomposition of the
+agreement score matrix formed from the model response matrix
+(\texttt{cbind(Y1, Y2, ...)}).
+
+\item \texttt{alpha.start}: starting values for the difficulty
+parameters $\alpha$, either a scalar or a vector with length equal to
+the number of the items. If a scalar, the value will be the starting
+value for all $\alpha$. The default is \texttt{NA}, which sets the
+starting values based on a series of probit regressions that condition
+on \texttt{theta.start}.
+
+\item \texttt{beta.start}: starting values for the $\beta$ discrimination
+parameters, either a scalar or a vector with length equal to the
+number of the items. If a scalar, the value will be the starting value
+for all $\beta$. The default is \texttt{NA}, which sets the starting
+values based on a series of probit regressions conditioning on
+\texttt{theta.start}.
+
+\item \texttt{store.item}: defaults to {\tt TRUE}, storing the
+posterior draws of the item parameters.  (For a large number of draws or
+a large number observations, this may take a lot of memory.)  
+
+\item \texttt{drop.constant.items}: defaults to {\tt TRUE}, dropping
+items with no variation before fitting the model.  
+
+\end{itemize}
+
+\noindent \texttt{irt1d} accepts the following additional arguments to 
+specify prior parameters used in the model:
+
+\begin{itemize}
+
+\item \texttt{t0}: prior mean of the subject abilities
+(ideal points). The default is 0.
+
+\item \texttt{T0}: prior precision of the subject abilities
+(ideal points). The default is 0.
+
+\item \texttt{ab0}: prior mean of $(\alpha, \beta)$. It can be a scalar or
+a vector of length 2. If it takes a scalar value, then the prior means for
+both $\alpha$ and $\beta$ will be set to that value. The default is 0. 
+
+\item \texttt{AB0}: prior precision of $(\alpha, \beta)$. It can be 
+a scalar or a $2 \times 2$ matrix. If it takes a scalar value, 
+then the prior precision will be \texttt{diag(AB0,2)}. The prior precision
+is assumed to be same for all the items. The default is 0.25.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCirt1d)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(SupremeCourt)
+> names(SupremeCourt) <- c("Rehnquist", "Stevens", "OConnor", "Scalia", 
++     "Kennedy", "Souter", "Thomas", "Ginsburg", "Breyer")
+\end{Sinput}
+\end{Schunk}
+Fitting a one-dimensional item response theory model using \texttt{irt1d}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Rehnquist, Stevens, OConnor, Scalia, Kennedy, 
++     Souter, Thomas, Ginsburg, Breyer) ~ NULL, data = SupremeCourt, 
++     model = "irt1d", B0.alpha = 0.2, B0.beta = 0.2, burnin = 500, 
++     mcmc = 10000, thin = 20, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be a vector of choices on $J$ items made by subject $i$ for
+$i=1, \ldots, n$. The choice $Y_{ij}$ is assumed to be determined by
+an unobserved utility $Z_{ij}$, which is a function of the subject $i$'s
+abilities (ideal points) $\theta_i$ and item parameters $\alpha_j$ and
+$\beta_j$ as follows:  
+\begin{eqnarray*}
+Z_{ij} &=& -\alpha_j + \beta_j' \theta_i + \epsilon_{ij}.
+\end{eqnarray*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{ij}  &  \sim & \textrm{Bernoulli}(\pi_{ij}) \\
+& = & \pi_{ij}^{Y_{ij}}(1-\pi_{ij})^{1-Y_{ij}},
+\end{eqnarray*}
+where $\pi_{ij}=\Pr(Y_{ij}=1)=E(Z_{ij})$.
+
+The error term in the unobserved utility equation is independently
+and identically distributed with 
+\begin{eqnarray*}
+\epsilon_{ij} \sim \textrm{Normal}(0, 1).
+\end{eqnarray*}
+
+\item The \emph{systematic component} is given by
+
+\begin{eqnarray*}
+\pi_{ij}= \Phi(-\alpha_j + \beta_j' \theta_i),
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function of the standard
+normal distribution with mean 0 and variance 1, $\theta_i$ is the
+subject ability (ideal point) parameter, and $\alpha_j$ and $\beta_j$
+are the item parameters. Both subject abilities and item parameters
+are estimated from the model, such that the model is identified by
+placing constraints on the subject ability parameters.
+
+\item The \emph{prior} for $\theta_i$ is given by
+\begin{eqnarray*}
+\theta_i &\sim& \textrm{Normal} \left(  t_{0},T_{0}^{-1}\right)
+\end{eqnarray*}
+
+\item The joint \emph{prior} for $\alpha_j$ and $\beta_j$ is given by
+\begin{eqnarray*}
+(\alpha_j, \beta_j)' &\sim& \textrm{Normal}\left(  ab_{0},AB_{0}^{-1}\right)
+\end{eqnarray*}
+where $ab_0$ is a 2-vector of prior means and $AB_0$ is a $2 \times 2$ prior
+precision matrix.
+
+\end{itemize}
+ 
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, model = "irt1d", data)
+\end{verbatim}
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view 
+a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated subject abilities(ideal points). If
+\texttt{store.item = TRUE}, the estimated item parameters $\alpha$ and
+$\beta$ are also contained in \texttt{coefficients}.
+
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()}
+procedure is not applicable for item response models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+The unidimensional item-response \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{irt1d} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+ \end{document}
diff --git a/inst/doc/irtkd.Rnw b/inst/doc/irtkd.Rnw
new file mode 100644
index 0000000..f18c707
--- /dev/null
+++ b/inst/doc/irtkd.Rnw
@@ -0,0 +1,281 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/irtkd}
+\include{zinput}
+%\VignetteIndexEntry{K-Dimensional Item Response Model}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,item response,dichotomous, Gibbs}
+%\VignettePackage{Zelig, stats}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+\section{\texttt{irtkd}: $k$-Dimensional Item Response Theory Model}
+
+\label{irtkd}
+
+Given several observed dependent variables and an unobserved
+explanatory variable, item response theory estimates the latent
+variable (ideal points).  The model is estimated using the Markov
+Chain Monte Carlo algorithm, via a combination of Gibbs sampling and
+data augmentation.  Use this model if you believe that the ideal
+points lie in $k$ dimensions.  See the unidimensional item response
+model (\Sref{irt1d}) for a single hypothesized latent variable. 
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, dimensions = 1, 
+                 model = "irtkd", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+\texttt{irtkd} accepts the following arguments:
+\begin{itemize}
+\item \texttt{Y1}, {\tt Y2}, and \texttt{Y3}: \texttt{Y1} contains the items for 
+subject ``Y1'', \texttt{Y2} contains the items for subject ``Y2'', and so on. 
+
+\item \texttt{dimensions}: The number of dimensions in the latent space. The 
+default is 1.
+
+\end{itemize}
+
+\subsubsection{Additional arguments}
+
+\texttt{irtkd} accepts the following additional arguments for model specification:
+\begin{itemize}
+\item \texttt{item.constraints}: a list of lists specifying possible 
+simple equality or inequality constraints on the item parameters.
+A typical entry has one of the following forms: 
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th item parameter for the item named \texttt{varname} to be equal
+to \texttt{c}.
+
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th item parameter for the item  named \texttt{varname} to be positive;
+
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th item parameter for the item named \texttt{varname} to be negative.
+\end{itemize} 
+In a $k$ dimensional model, the first item parameter for item $i$ is
+the difficulty parameter $\alpha_i$, the second item parameter is the
+discrimination parameter on dimension 1, $(\beta_{i,1})$, the third
+item parameter is the discrimination parameter on dimension 2,
+$(\beta_{i,2}),\ldots$, and $(k+1)$th item parameter is the
+discrimination parameter on dimension $k$, $(\beta_{i,k})$. The item
+difficulty parameter($\alpha$) should not be constrained in general.
+\end{itemize}
+
+\noindent \texttt{irtkd} accepts the following additional arguments 
+to monitor the sampling scheme for the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen. The default 
+is \texttt{FALSE}.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{alphabeta.start}: starting values for the item parameters
+$\alpha$ and $\beta$, either a scalar or a $(k+1) \times items$
+matrix. If it is a scalar, then that value will be the starting value
+for all the elements of \texttt{alphabeta.start}. The default is
+\texttt{NA} which sets the starting values for the unconstrained
+elements based on a series of proportional odds logistic
+regressions. The starting values for the inequality constrained
+elements are set to be either 1.0 or -1.0 depending on the nature of
+the constraints.
+
+\item \texttt{store.item}: defaults to {\tt FALSE}.  If {\tt TRUE} stores the
+posterior draws of the item parameters.  (For a large number of draws or
+a large number observations, this may take a lot of memory.)  
+
+\item \texttt{store.ability}: defaults to {\tt TRUE}, storing the
+posterior draws of the subject abilities.  (For a large number of draws or
+a large number observations, this may take a lot of memory.) 
+
+\item \texttt{drop.constant.items}: defaults to {\tt TRUE}, dropping
+items with no variation before fitting the model.  
+\end{itemize}
+
+\noindent \texttt{irtkd} accepts the following additional arguments to 
+specify prior parameters used in the model:
+
+\begin{itemize}
+
+\item \texttt{b0}: prior mean of $(\alpha, \beta)$, either as a scalar or
+a vector of compatible length. If a scalar value, then the prior means
+for both $\alpha$ and $\beta$ will be set to that value. The default
+is 0.
+
+\item \texttt{B0}: prior precision for $(\alpha, \beta)$, either a
+scalar or a $(k+1) \times items$ matrix. If a scalar value, the prior
+precision will be a blocked diagonal matrix with elements
+\texttt{diag(B0,items)}. The prior precision is assumed to be same for
+all the items. The default is 0.25.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCirtKd)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<BasicExample.data>>= 
+ data(SupremeCourt)
+names(SupremeCourt) <- c("Rehnquist","Stevens","OConnor","Scalia",
+                         "Kennedy","Souter","Thomas","Ginsburg","Breyer")
+@ 
+Fitting a one-dimensional item response theory model using \texttt{irtkd}:
+<<BasicExample.zelig>>= 
+ z.out <- zelig(cbind(Rehnquist, Stevens, OConnor, Scalia, Kennedy, Souter, 
+                       Thomas, Ginsburg, Breyer) ~ NULL, dimensions = 1,
+                 data = SupremeCourt, model = "irtkd", B0 = 0.25, 
+                 burnin = 5000, mcmc = 50000, 
+                 thin = 10, verbose = TRUE)
+@ 
+
+Checking for convergence before summarizing the estimates:
+<<BasicExample.geweke>>= 
+ geweke.diag(z.out$coefficients)
+@ 
+<<BasicExample.heidel>>= 
+ heidel.diag(z.out$coefficients)
+@ 
+<<BasicExample.raftery>>= 
+ raftery.diag(z.out$coefficients)
+@ 
+<<BasicExample.summary>>= 
+summary(z.out)
+@  
+\end{enumerate} 
+
+\subsubsection{Model} 
+
+Let $Y_i$ be a vector of choices on $J$ items made by subject $i$ for 
+$i = 1, \ldots, n$. The choice $Y_{ij}$ is assumed to be 
+determined by unobserved utility $Z_{ij}$, which is a function
+of subject abilities (ideal points) $\theta_i$ and item parameters
+$\alpha_j$ and $\beta_j$,
+\begin{eqnarray*}
+Z_{ij} &=& -\alpha_j + \beta_j' \theta_i + \epsilon_{ij}.
+\end{eqnarray*}
+In the $k$-dimensional item response theory model, each subject's ability is 
+represented by a $k$-vector, $\theta_i$. Each item has a difficulty 
+parameter $\alpha_j$ and a $k$-dimensional discrimination parameter
+$\beta_j$. In one-dimensional item response theory model, $k = 1$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{ij}  &  \sim & \textrm{Bernoulli}(\pi_{ij})\\
+&  = & \pi_{ij}^{Y_{ij}}(1-\pi_{ij})^{1-Y_{ij}},
+\end{eqnarray*}
+where $\pi_{ij}=\Pr(Y_{ij}=1)=E(Z_{ij})$.
+
+The error term in the unobserved utility equation has
+a standard normal distribution,
+\begin{eqnarray*}
+\epsilon_{ij} \sim \textrm{Normal}(0, 1).
+\end{eqnarray*}
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\pi_{ij} &=& \Phi(-\alpha_j + \beta_j \theta_i),
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function of the standard
+normal distribution with mean 0 and variance 1, while $\theta_i$
+contains the $k$-dimensional subject abilities(ideal points), and
+$\alpha_{j}$ and $\beta_j$ are the item parameters. Both subject
+abilities and item parameters need to estimated from the model. The
+model is identified by placing constraints on the item parameters.
+
+\item The \emph{prior} for $\theta_i$ is given by
+\begin{eqnarray*}
+\theta_i &\sim& \textrm{Normal}_k(0, I_k)
+\end{eqnarray*}
+
+\item The joint \emph{prior} for $\alpha_j$ and $\beta_j$ is given by
+\begin{eqnarray*}
+(\alpha_j, \beta_j)' &\sim& \textrm{Normal}_{k+1} \left( b_{0_j}, B_{0_j}^{-1}\right)
+\end{eqnarray*}
+where $b_{0_j}$ is a $(k+1)$-vector of prior mean and $B_{0_j}$ is a $(k+1) 
+\times (k+1)$ prior precision matrix which is assumed to be diagonal.
+
+\end{itemize}
+ 
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, model = "irtkd", data)
+\end{verbatim}
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view 
+a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated subject abilities(ideal points). If 
+\texttt{store.item = TRUE}, the estimated item parameters $\alpha$ and $\beta$
+ are also contained in \texttt{coefficients}.
+
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()}
+procedure is not applicable for item response models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+The $k$ dimensional item response \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{irtkd} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/irtkd.pdf b/inst/doc/irtkd.pdf
new file mode 100644
index 0000000..ce5fa57
Binary files /dev/null and b/inst/doc/irtkd.pdf differ
diff --git a/inst/doc/irtkd.tex b/inst/doc/irtkd.tex
new file mode 100644
index 0000000..709501b
--- /dev/null
+++ b/inst/doc/irtkd.tex
@@ -0,0 +1,279 @@
+
+\include{zinput}
+%\VignetteIndexEntry{K-Dimensional Item Response Model}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,item response,dichotomous, Gibbs}
+%\VignettePackage{Zelig, stats}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\section{\texttt{irtkd}: $k$-Dimensional Item Response Theory Model}
+
+\label{irtkd}
+
+Given several observed dependent variables and an unobserved
+explanatory variable, item response theory estimates the latent
+variable (ideal points).  The model is estimated using the Markov
+Chain Monte Carlo algorithm, via a combination of Gibbs sampling and
+data augmentation.  Use this model if you believe that the ideal
+points lie in $k$ dimensions.  See the unidimensional item response
+model (\Sref{irt1d}) for a single hypothesized latent variable. 
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, dimensions = 1, 
+                 model = "irtkd", data = mydata)
+\end{verbatim}
+
+\subsubsection{Inputs}
+\texttt{irtkd} accepts the following arguments:
+\begin{itemize}
+\item \texttt{Y1}, {\tt Y2}, and \texttt{Y3}: \texttt{Y1} contains the items for 
+subject ``Y1'', \texttt{Y2} contains the items for subject ``Y2'', and so on. 
+
+\item \texttt{dimensions}: The number of dimensions in the latent space. The 
+default is 1.
+
+\end{itemize}
+
+\subsubsection{Additional arguments}
+
+\texttt{irtkd} accepts the following additional arguments for model specification:
+\begin{itemize}
+\item \texttt{item.constraints}: a list of lists specifying possible 
+simple equality or inequality constraints on the item parameters.
+A typical entry has one of the following forms: 
+\begin{itemize}
+
+\item {\tt varname = list()}: by default, no constraints are
+imposed.
+
+\item \texttt{varname = list(d, c)}: constrains the
+$d$th item parameter for the item named \texttt{varname} to be equal
+to \texttt{c}.
+
+\item \texttt{varname = list(d, "+")}: constrains the
+$d$th item parameter for the item  named \texttt{varname} to be positive;
+
+\item \texttt{varname = list(d, "-")}: constrains the
+$d$th item parameter for the item named \texttt{varname} to be negative.
+\end{itemize} 
+In a $k$ dimensional model, the first item parameter for item $i$ is
+the difficulty parameter $\alpha_i$, the second item parameter is the
+discrimination parameter on dimension 1, $(\beta_{i,1})$, the third
+item parameter is the discrimination parameter on dimension 2,
+$(\beta_{i,2}),\ldots$, and $(k+1)$th item parameter is the
+discrimination parameter on dimension $k$, $(\beta_{i,k})$. The item
+difficulty parameter($\alpha$) should not be constrained in general.
+\end{itemize}
+
+\noindent \texttt{irtkd} accepts the following additional arguments 
+to monitor the sampling scheme for the Markov chain:
+
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 20,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen. The default 
+is \texttt{FALSE}.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{alphabeta.start}: starting values for the item parameters
+$\alpha$ and $\beta$, either a scalar or a $(k+1) \times items$
+matrix. If it is a scalar, then that value will be the starting value
+for all the elements of \texttt{alphabeta.start}. The default is
+\texttt{NA} which sets the starting values for the unconstrained
+elements based on a series of proportional odds logistic
+regressions. The starting values for the inequality constrained
+elements are set to be either 1.0 or -1.0 depending on the nature of
+the constraints.
+
+\item \texttt{store.item}: defaults to {\tt FALSE}.  If {\tt TRUE} stores the
+posterior draws of the item parameters.  (For a large number of draws or
+a large number observations, this may take a lot of memory.)  
+
+\item \texttt{store.ability}: defaults to {\tt TRUE}, storing the
+posterior draws of the subject abilities.  (For a large number of draws or
+a large number observations, this may take a lot of memory.) 
+
+\item \texttt{drop.constant.items}: defaults to {\tt TRUE}, dropping
+items with no variation before fitting the model.  
+\end{itemize}
+
+\noindent \texttt{irtkd} accepts the following additional arguments to 
+specify prior parameters used in the model:
+
+\begin{itemize}
+
+\item \texttt{b0}: prior mean of $(\alpha, \beta)$, either as a scalar or
+a vector of compatible length. If a scalar value, then the prior means
+for both $\alpha$ and $\beta$ will be set to that value. The default
+is 0.
+
+\item \texttt{B0}: prior precision for $(\alpha, \beta)$, either a
+scalar or a $(k+1) \times items$ matrix. If a scalar value, the prior
+precision will be a blocked diagonal matrix with elements
+\texttt{diag(B0,items)}. The prior precision is assumed to be same for
+all the items. The default is 0.25.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCirtKd)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(SupremeCourt)
+> names(SupremeCourt) <- c("Rehnquist", "Stevens", "OConnor", "Scalia", 
++     "Kennedy", "Souter", "Thomas", "Ginsburg", "Breyer")
+\end{Sinput}
+\end{Schunk}
+Fitting a one-dimensional item response theory model using \texttt{irtkd}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(cbind(Rehnquist, Stevens, OConnor, Scalia, Kennedy, 
++     Souter, Thomas, Ginsburg, Breyer) ~ NULL, dimensions = 1, 
++     data = SupremeCourt, model = "irtkd", B0 = 0.25, burnin = 5000, 
++     mcmc = 50000, thin = 10, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate} 
+
+\subsubsection{Model} 
+
+Let $Y_i$ be a vector of choices on $J$ items made by subject $i$ for 
+$i = 1, \ldots, n$. The choice $Y_{ij}$ is assumed to be 
+determined by unobserved utility $Z_{ij}$, which is a function
+of subject abilities (ideal points) $\theta_i$ and item parameters
+$\alpha_j$ and $\beta_j$,
+\begin{eqnarray*}
+Z_{ij} &=& -\alpha_j + \beta_j' \theta_i + \epsilon_{ij}.
+\end{eqnarray*}
+In the $k$-dimensional item response theory model, each subject's ability is 
+represented by a $k$-vector, $\theta_i$. Each item has a difficulty 
+parameter $\alpha_j$ and a $k$-dimensional discrimination parameter
+$\beta_j$. In one-dimensional item response theory model, $k = 1$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{ij}  &  \sim & \textrm{Bernoulli}(\pi_{ij})\\
+&  = & \pi_{ij}^{Y_{ij}}(1-\pi_{ij})^{1-Y_{ij}},
+\end{eqnarray*}
+where $\pi_{ij}=\Pr(Y_{ij}=1)=E(Z_{ij})$.
+
+The error term in the unobserved utility equation has
+a standard normal distribution,
+\begin{eqnarray*}
+\epsilon_{ij} \sim \textrm{Normal}(0, 1).
+\end{eqnarray*}
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\pi_{ij} &=& \Phi(-\alpha_j + \beta_j \theta_i),
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function of the standard
+normal distribution with mean 0 and variance 1, while $\theta_i$
+contains the $k$-dimensional subject abilities(ideal points), and
+$\alpha_{j}$ and $\beta_j$ are the item parameters. Both subject
+abilities and item parameters need to estimated from the model. The
+model is identified by placing constraints on the item parameters.
+
+\item The \emph{prior} for $\theta_i$ is given by
+\begin{eqnarray*}
+\theta_i &\sim& \textrm{Normal}_k(0, I_k)
+\end{eqnarray*}
+
+\item The joint \emph{prior} for $\alpha_j$ and $\beta_j$ is given by
+\begin{eqnarray*}
+(\alpha_j, \beta_j)' &\sim& \textrm{Normal}_{k+1} \left( b_{0_j}, B_{0_j}^{-1}\right)
+\end{eqnarray*}
+where $b_{0_j}$ is a $(k+1)$-vector of prior mean and $B_{0_j}$ is a $(k+1) 
+\times (k+1)$ prior precision matrix which is assumed to be diagonal.
+
+\end{itemize}
+ 
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(cbind(Y1, Y2, Y3) ~ NULL, model = "irtkd", data)
+\end{verbatim}
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view 
+a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated subject abilities(ideal points). If 
+\texttt{store.item = TRUE}, the estimated item parameters $\alpha$ and $\beta$
+ are also contained in \texttt{coefficients}.
+
+\item \texttt{data}: the name of the input data frame.
+\item \texttt{seed}: the random seed used in the model.   
+
+\end{itemize}
+
+\item Since there are no explanatory variables, the \texttt{sim()}
+procedure is not applicable for item response models.
+
+\end{itemize}
+
+\subsubsection{Contributors}
+The $k$ dimensional item response \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{irtkd} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/logit.Rnw b/inst/doc/logit.Rnw
new file mode 100644
index 0000000..5a0c2d5
--- /dev/null
+++ b/inst/doc/logit.Rnw
@@ -0,0 +1,310 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/logit}
+\include{zinput}
+%\VignetteIndexEntry{Logistic Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model,logistic,dichotomous, regression}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{{\tt logit}: Logistic Regression for Dichotomous Dependent
+Variables}\label{logit}
+
+Logistic regression specifies a dichotomous dependent variable as a
+function of a set of explanatory variables.  For a Bayesian
+implementation, see \Sref{logit.bayes}.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "logit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out, x1 = NULL)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for logistic regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame)  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item {Basic Example}
+ 
+Attaching the sample turnout dataset:
+<<Example.data>>=
+ data(turnout)
+@ 
+Estimating parameter values for the logistic regression:
+<<Example.zelig>>=
+ z.out1 <- zelig(vote ~ race + educate,  model = "logit", data = turnout) 
+@ 
+Setting values for the explanatory variables to their default values:
+<<Example.setx>>=
+ x.out1 <- setx(z.out1)
+@ 
+Simulating quantities of interest from the posterior distribution.
+<<Example.sim>>=
+ s.out1 <- sim(z.out1, x = x.out1)
+@
+<<Example.summary>>= 
+ summary(s.out1)
+@ 
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=true>>= 
+ plot(s.out1)
+@ 
+\end{center}
+
+\item {Simulating First Differences}
+
+Estimating the risk difference (and risk ratio) between low education
+(25th percentile) and high education (75th percentile) while all the
+other variables held at their default values.
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out1, educate = quantile(turnout$educate, prob = 0.75))
+ x.low <- setx(z.out1, educate = quantile(turnout$educate, prob = 0.25))
+@ 
+
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out1, x = x.high, x1 = x.low)
+@ 
+<<FirstDifferences.summary>>=
+ summary(s.out2)
+@
+\begin{center}
+<<label=FirstDifferencesPlot,fig=true>>= 
+ plot(s.out2)
+@ 
+\end{center} 
+
+
+\item {Presenting Results: An ROC Plot}  \label{ROC}
+  
+  One can use an ROC plot to evaluate the fit of alternative model
+  specifications.  (Use {\tt demo(roc)} to view this example, or see
+  King and Zeng (2002)\nocite{KinZen02}.)  
+<<ROC.zelig>>=
+ z.out1 <- zelig(vote ~ race + educate + age, model = "logit", 
+                  data = turnout)
+ z.out2 <- zelig(vote ~ race + educate, model = "logit", data = turnout)
+@
+\begin{center}
+<<label=ROCPlot,fig=true, echo=true>>= 
+
+rocplot(z.out1$y, z.out2$y, fitted(z.out1), fitted(z.out2))
+@ 
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i$ be the binary dependent variable for observation $i$ which
+takes the value of either 0 or 1.
+\begin{itemize}
+
+\item The \emph{stochastic component} is given by  
+\begin{eqnarray*}
+Y_i &\sim& \textrm{Bernoulli}(y_i \mid \pi_i) \\
+    &=& \pi_i^{y_i} (1-\pi_i)^{1-y_i}
+\end{eqnarray*}
+where $\pi_i=\Pr(Y_i=1)$.
+
+\item The \emph{systematic component} is given by: 
+\begin{equation*}
+\pi_i \; = \; \frac{1}{1 + \exp(-x_i \beta)}.
+\end{equation*}
+where $x_i$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the logit model are
+  simulations of the predicted probability of a success: $$E(Y) =
+  \pi_i= \frac{1}{1 + \exp(-x_i \beta)},$$ given draws of $\beta$ from
+  its sampling distribution.
+
+\item The predicted values ({\tt qi\$pr}) are draws from the Binomial
+  distribution with mean equal to the simulated expected value $\pi_i$.  
+
+\item The first difference ({\tt qi\$fd}) for the logit model is defined as
+\begin{equation*}
+\textrm{FD} = \Pr(Y = 1 \mid x_1) - \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item The risk ratio ({\tt qi\$rr}) is defined as
+\begin{equation*}
+\textrm{RR} = \Pr(Y = 1 \mid x_1) \ / \ \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)}\right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\, x,
+  model = "logit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: the vector of fitted values for the
+     systemic component, $\pi_i$.
+   \item {\tt linear.predictors}: the vector of $x_{i}\beta$
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt data}: the name of the input data frame.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values for the
+     specified values of {\tt x}.
+   \item {\tt qi\$fd}: the simulated first difference in the expected
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio for the expected
+     probabilities simulated from {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The logit function is part of the base package by William N. Venables
+and Brian D. Ripley.  Please cite this model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Advanced users may wish to refer to
+\texttt{help(glm)} and \texttt{help(family)}, as well as
+\begin{verse}
+\bibentry{McCNel89}.
+\end{verse}
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are a selection of $2,000$ observations from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/logit.bayes.Rnw b/inst/doc/logit.bayes.Rnw
new file mode 100644
index 0000000..e9a41ee
--- /dev/null
+++ b/inst/doc/logit.bayes.Rnw
@@ -0,0 +1,275 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/logitBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Logistic Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,bayes,dichotomous, Metropolis}
+%\VignettePackage{Zelig, MCMCpack}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+\section{\texttt{logit.bayes}: Bayesian Logistic Regression}
+
+\label{logit.bayes}
+
+Logistic regression specifies a dichotomous dependent variable as a
+function of a set of explanatory variables using a random walk
+Metropolis algorithm.  For a maximum likelihood implementation, see
+\Sref{logit}.  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "logit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Use the following arguments to monitor the Markov chain: 
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: Metropolis tuning parameter, either 
+a positive scalar or a vector of length $k$, where $k$ is the number
+of coefficients. The tuning parameter should be set such that the
+acceptance rate of the Metropolis algorithm is satisfactory (typically
+between 0.20 and 0.5) before using the posterior density for
+inference. The default value is 1.1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator.  The
+default is \texttt{NA} which corresponds to a random seed of 12345.
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number of
+estimated coefficients. The default is \texttt{NA}, such that the maximum
+likelihood estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric 
+vector or a scalar. If a scalar value, that value will
+be the prior mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of
+coefficients) or a scalar. If a scalar value, that value times an
+identity matrix will be the prior precision parameter. The default is
+0, which leads to an improper prior.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(logit.bayes)} for more information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<BasicExample.data>>=
+ data(turnout)
+@ 
+Estimating the logistic regression using \texttt{logit.bayes}:
+<<BasicExample.zelig>>=
+ z.out <- zelig(vote ~ race + educate, model = "logit.bayes",
+                  data = turnout, verbose = TRUE)
+@ 
+Convergence diagnostics before summarizing the estimates:
+<<BasicExample.geweke>>=
+ geweke.diag(z.out$coefficients)
+@
+<<BasicExample.heidel>>=
+ heidel.diag(z.out$coefficients)
+@ 
+<<BasicExample.raftery>>= 
+ raftery.diag(z.out$coefficients)
+@ 
+<<BasicExample.summary.zout>>= 
+summary(z.out)
+@ 
+Setting values for the explanatory variables to their sample averages:
+<<BasicExample.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@ 
+<<BasicExample.summary.sim>>= 
+summary(s.out1)
+@ 
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in individual's probability of
+voting  when education is set to be low (25th percentile) versus 
+high (75th percentile) while all the other variables held at their 
+default values.
+<<FirstDifferences.setx.high>>=
+ x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0.75))
+@ 
+<<FirstDifferences.setx.low>>= 
+x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.25))
+@ 
+<<FirstDifferences.sim>>= 
+s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+@ 
+<<FirstDifferences.summary>>= 
+summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the binary dependent variable for observation $i$ which takes
+the value of either 0 or 1.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{i}  &  \sim & \rm{Bernoulli}(\pi_{i})\\
+&  = & \pi_{i}^{Y_{i}}(1-\pi_{i})^{1-Y_{i}},
+\end{eqnarray*}
+where $\pi_{i}=\Pr(Y_{i}=1)$.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\pi_{i}= \frac{1}{1+\exp(-x_{i} \beta)},
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k \left(  b_{0},B_{0}^{-1}\right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the logit model are
+simulations of the predicted probability of a success:
+\begin{eqnarray*}
+E(Y) = \pi_{i}= \frac{1}{1 + \exp(-x_{i} \beta)},
+\end{eqnarray*}
+given the posterior draws of $\beta$ from the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are draws from the Bernoulli
+distribution with mean equal to the simulated expected value $\pi_{i}$.
+
+\item The first difference (\texttt{qi\$fd}) for the logit model is defined
+as
+\begin{eqnarray*}
+\text{FD}=\Pr(Y=1\mid X_{1})-\Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr})is defined as
+\begin{eqnarray*}
+\text{RR}=\Pr(Y=1\mid X_{1})\ /\ \Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "logit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values(probabilities) for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values for the specified values
+of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the expected values
+simulated from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian logistic regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{logit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/logit.bayes.pdf b/inst/doc/logit.bayes.pdf
new file mode 100644
index 0000000..e980cc9
Binary files /dev/null and b/inst/doc/logit.bayes.pdf differ
diff --git a/inst/doc/logit.bayes.tex b/inst/doc/logit.bayes.tex
new file mode 100644
index 0000000..b932eca
--- /dev/null
+++ b/inst/doc/logit.bayes.tex
@@ -0,0 +1,288 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Logistic Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model,bayes,dichotomous, Metropolis}
+%\VignettePackage{Zelig, MCMCpack}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\section{\texttt{logit.bayes}: Bayesian Logistic Regression}
+
+\label{logit.bayes}
+
+Logistic regression specifies a dichotomous dependent variable as a
+function of a set of explanatory variables using a random walk
+Metropolis algorithm.  For a maximum likelihood implementation, see
+\Sref{logit}.  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "logit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Use the following arguments to monitor the Markov chain: 
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: Metropolis tuning parameter, either 
+a positive scalar or a vector of length $k$, where $k$ is the number
+of coefficients. The tuning parameter should be set such that the
+acceptance rate of the Metropolis algorithm is satisfactory (typically
+between 0.20 and 0.5) before using the posterior density for
+inference. The default value is 1.1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE}, the progress 
+ of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator.  The
+default is \texttt{NA} which corresponds to a random seed of 12345.
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number of
+estimated coefficients. The default is \texttt{NA}, such that the maximum
+likelihood estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric 
+vector or a scalar. If a scalar value, that value will
+be the prior mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of
+coefficients) or a scalar. If a scalar value, that value times an
+identity matrix will be the prior precision parameter. The default is
+0, which leads to an improper prior.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(logit.bayes)} for more information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(turnout)
+\end{Sinput}
+\end{Schunk}
+Estimating the logistic regression using \texttt{logit.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(vote ~ race + educate, model = "logit.bayes", 
++     data = turnout, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+Convergence diagnostics before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in individual's probability of
+voting  when education is set to be low (25th percentile) versus 
+high (75th percentile) while all the other variables held at their 
+default values.
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0.75))
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.25))
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the binary dependent variable for observation $i$ which takes
+the value of either 0 or 1.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{i}  &  \sim & \rm{Bernoulli}(\pi_{i})\\
+&  = & \pi_{i}^{Y_{i}}(1-\pi_{i})^{1-Y_{i}},
+\end{eqnarray*}
+where $\pi_{i}=\Pr(Y_{i}=1)$.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\pi_{i}= \frac{1}{1+\exp(-x_{i} \beta)},
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k \left(  b_{0},B_{0}^{-1}\right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the logit model are
+simulations of the predicted probability of a success:
+\begin{eqnarray*}
+E(Y) = \pi_{i}= \frac{1}{1 + \exp(-x_{i} \beta)},
+\end{eqnarray*}
+given the posterior draws of $\beta$ from the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are draws from the Bernoulli
+distribution with mean equal to the simulated expected value $\pi_{i}$.
+
+\item The first difference (\texttt{qi\$fd}) for the logit model is defined
+as
+\begin{eqnarray*}
+\text{FD}=\Pr(Y=1\mid X_{1})-\Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr})is defined as
+\begin{eqnarray*}
+\text{RR}=\Pr(Y=1\mid X_{1})\ /\ \Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "logit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values(probabilities) for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values for the specified values
+of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the expected values
+simulated from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian logistic regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{logit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/logit.pdf b/inst/doc/logit.pdf
new file mode 100644
index 0000000..5948ea9
Binary files /dev/null and b/inst/doc/logit.pdf differ
diff --git a/inst/doc/logit.tex b/inst/doc/logit.tex
new file mode 100644
index 0000000..338103f
--- /dev/null
+++ b/inst/doc/logit.tex
@@ -0,0 +1,323 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Logistic Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model,logistic,dichotomous, regression}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt logit}: Logistic Regression for Dichotomous Dependent
+Variables}\label{logit}
+
+Logistic regression specifies a dichotomous dependent variable as a
+function of a set of explanatory variables.  For a Bayesian
+implementation, see \Sref{logit.bayes}.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "logit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out, x1 = NULL)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for logistic regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame)  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item {Basic Example}
+ 
+Attaching the sample turnout dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(turnout)
+\end{Sinput}
+\end{Schunk}
+Estimating parameter values for the logistic regression:
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(vote ~ race + educate, model = "logit", data = turnout)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their default values:
+\begin{Schunk}
+\begin{Sinput}
+> x.out1 <- setx(z.out1)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/logit-ExamplePlot}
+\end{center}
+
+\item {Simulating First Differences}
+
+Estimating the risk difference (and risk ratio) between low education
+(25th percentile) and high education (75th percentile) while all the
+other variables held at their default values.
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out1, educate = quantile(turnout$educate, prob = 0.75))
+> x.low <- setx(z.out1, educate = quantile(turnout$educate, prob = 0.25))
+\end{Sinput}
+\end{Schunk}
+
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out1, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/logit-FirstDifferencesPlot}
+\end{center} 
+
+
+\item {Presenting Results: An ROC Plot}  \label{ROC}
+  
+  One can use an ROC plot to evaluate the fit of alternative model
+  specifications.  (Use {\tt demo(roc)} to view this example, or see
+  King and Zeng (2002)\nocite{KinZen02}.)  
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(vote ~ race + educate + age, model = "logit", 
++     data = turnout)
+> z.out2 <- zelig(vote ~ race + educate, model = "logit", data = turnout)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> rocplot(z.out1$y, z.out2$y, fitted(z.out1), fitted(z.out2))
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/logit-ROCPlot}
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i$ be the binary dependent variable for observation $i$ which
+takes the value of either 0 or 1.
+\begin{itemize}
+
+\item The \emph{stochastic component} is given by  
+\begin{eqnarray*}
+Y_i &\sim& \textrm{Bernoulli}(y_i \mid \pi_i) \\
+    &=& \pi_i^{y_i} (1-\pi_i)^{1-y_i}
+\end{eqnarray*}
+where $\pi_i=\Pr(Y_i=1)$.
+
+\item The \emph{systematic component} is given by: 
+\begin{equation*}
+\pi_i \; = \; \frac{1}{1 + \exp(-x_i \beta)}.
+\end{equation*}
+where $x_i$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the logit model are
+  simulations of the predicted probability of a success: $$E(Y) =
+  \pi_i= \frac{1}{1 + \exp(-x_i \beta)},$$ given draws of $\beta$ from
+  its sampling distribution.
+
+\item The predicted values ({\tt qi\$pr}) are draws from the Binomial
+  distribution with mean equal to the simulated expected value $\pi_i$.  
+
+\item The first difference ({\tt qi\$fd}) for the logit model is defined as
+\begin{equation*}
+\textrm{FD} = \Pr(Y = 1 \mid x_1) - \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item The risk ratio ({\tt qi\$rr}) is defined as
+\begin{equation*}
+\textrm{RR} = \Pr(Y = 1 \mid x_1) \ / \ \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)}\right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\, x,
+  model = "logit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: the vector of fitted values for the
+     systemic component, $\pi_i$.
+   \item {\tt linear.predictors}: the vector of $x_{i}\beta$
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt data}: the name of the input data frame.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values for the
+     specified values of {\tt x}.
+   \item {\tt qi\$fd}: the simulated first difference in the expected
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio for the expected
+     probabilities simulated from {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The logit function is part of the base package by William N. Venables
+and Brian D. Ripley.  Please cite this model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Advanced users may wish to refer to
+\texttt{help(glm)} and \texttt{help(family)}, as well as
+\begin{verse}
+\bibentry{McCNel89}.
+\end{verse}
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are a selection of $2,000$ observations from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/lognorm.Rnw b/inst/doc/lognorm.Rnw
new file mode 100644
index 0000000..132a363
--- /dev/null
+++ b/inst/doc/lognorm.Rnw
@@ -0,0 +1,291 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/lognormal}
+\include{zinput}
+%\VignetteIndexEntry{Log-Normal Regression for Duration Dependent Variables}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model,log, normal,bounded, regression, time durarion}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{{\tt lognorm}: Log-Normal Regression for Duration
+Dependent Variables}\label{lognorm}
+
+The log-normal model describes an event's duration, the dependent
+variable, as a function of a set of explanatory variables.  The
+log-normal model may take time censored dependent variables, and
+allows the hazard rate to increase and decrease.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Surv(Y, C) ~ X, model = "lognorm", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+Log-normal models require that the dependent variable be in the form
+{\tt Surv(Y, C)}, where {\tt Y} and {\tt C} are vectors of length $n$.
+For each observation $i$ in 1, \dots, $n$, the value $y_i$ is the
+duration (lifetime, for example) of each subject, and the associated
+$c_i$ is a binary variable such that $c_i = 1$ if the duration is not
+censored ({\it e.g.}, the subject dies during the study) or $c_i = 0$
+if the duration is censored ({\it e.g.}, the subject is still alive at
+the end of the study).  If $c_i$ is omitted, all Y are assumed to be
+completed; that is, time defaults to 1 for all observations.
+
+\subsubsection{Input Values} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for lognormal regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) based on the options in {\tt
+cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "exp", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}  
+
+\subsubsection{Example}
+
+Attach the sample data: 
+<<Example.data>>=
+ data(coalition)
+@ 
+Estimate the model: 
+<<Example.zelig>>=
+ z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model = "lognorm",
+                 data = coalition)
+@ 
+View the regression output:  
+<<Example.summary>>=
+ summary(z.out)
+@ 
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+<<Example.setx>>=
+ x.low <- setx(z.out, numst2 = 0)
+ x.high <- setx(z.out, numst2 = 1)
+@ 
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt
+  qi\$fd}):
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.low, x1 = x.high)
+@ 
+<<Example.summary>>=
+ summary(s.out)
+@
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=true>>= 
+ plot(s.out)
+@ 
+\end{center} 
+
+\subsubsection{Model}
+
+Let $Y_i^*$ be the survival time for observation $i$ with the density
+function $f(y)$ and the corresponding distribution function
+$F(t)=\int_{0}^t f(y) dy$. This variable might be censored for some
+observations at a fixed time $y_c$ such that the fully observed
+dependent variable, $Y_i$, is defined as
+\begin{equation*}
+  Y_i = \left\{ \begin{array}{ll}
+      Y_i^* & \textrm{if }Y_i^* \leq y_c \\
+      y_c & \textrm{if }Y_i^* > y_c \\
+    \end{array} \right.
+\end{equation*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by the distribution
+  of the partially observed variable, $Y^*$.  For the lognormal model,
+there are two equivalent representations:  
+  \begin{eqnarray*}
+    Y_i^* \; \sim \; \textrm{LogNormal}(\mu_i, \sigma^2) & \textrm{ or
+} & \log(Y_i^*) \; \sim \; \textrm{Normal}(\mu_i, \sigma^2)
+\end{eqnarray*}
+where the parameters $\mu_i$ and $\sigma^2$ are the mean and variance
+of the Normal distribution. (Note that the output from {\tt zelig()}
+parameterizes {\tt scale}$ = \sigma$.)
+
+ In addition, survival models like the lognormal have three additional
+properties. The hazard function $h(t)$ measures the probability of not surviving
+  past time $t$ given survival up to $t$. In general, the hazard
+  function is equal to $f(t)/S(t)$ where the survival function $S(t) =
+  1 - \int_{0}^t f(s) ds$ represents the fraction still surviving at
+  time $t$.  The cumulative hazard function $H(t)$ describes the
+  probability of dying before time $t$.  In general, $H(t)=
+\int_{0}^{t} h(s) ds = -\log S(t)$. In the case of the lognormal model, 
+\begin{eqnarray*}
+h(t) &=& \frac{1}{\sqrt{2 \pi} \, \sigma t \, S(t)}
+\exp\left\{-\frac{1}{2 \sigma^2} (\log \lambda t)^2\right\} \\
+S(t) &=& 1 - \Phi\left(\frac{1}{\sigma} \log \lambda t\right) \\
+H(t) &=& -\log \left\{ 1 - \Phi\left(\frac{1}{\sigma} \log \lambda t\right) \right\}
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function for the Normal
+distribution.  
+
+\item The \emph{systematic component} is described as: 
+\begin{equation*}
+\mu_i = x_i \beta .
+\end{equation*}
+
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the lognormal model are
+  simulations of the expected duration:  
+\begin{equation*}
+E(Y) =  \exp\left(\mu_i + \frac{1}{2}\sigma^2 \right),
+\end{equation*}
+given draws of $\beta$ and $\sigma$ from their sampling distributions. 
+
+\item The predicted value is a draw from the log-normal distribution
+  given simulations of the parameters $(\lambda_i, \sigma)$.
+
+\item The first difference ({\tt qi\$fd}) is
+\begin{equation*}
+\textrm{FD} = E(Y \mid x_1) - E(Y \mid x). 
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is \begin{equation*}
+  \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \{ Y_i(t_i=1) - E[Y_i(t_i=0)] \}, \end{equation*} where $t_i$ is a binary explanatory variable
+  defining the treatment ($t_i=1$) and control ($t_i=0$) groups. When
+  $Y_i(t_i=1)$ is censored rather than observed, we replace it with a
+  simulation from the model given available knowledge of the censoring
+  process.  Variation in the simulations is due to two factors:
+  uncertainty in the imputation process for censored $y_i^*$ and
+  uncertainty in simulating $E[Y_i(t_i=0)]$, the counterfactual
+  expected value of $Y_i$ for observations in the treatment group,
+  under the assumption that everything stays the same except that the
+  treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+\begin{equation*}
+  \frac{1}{\sum_{i=1}^n t_i} \sum_{i:t_i=1}^n \{  Y_i(t_i=1) -
+\widehat{Y_i(t_i=0)} \}, 
+\end{equation*} 
+where $t_i$ is a binary explanatory
+  variable defining the treatment ($t_i=1$) and control ($t_i=0$)
+  groups.  When $Y_i(t_i=1)$ is censored rather than observed, we
+  replace it with a simulation from the model given available
+  knowledge of the censoring process.  Variation in the simulations
+  are due to two factors: uncertainty in the imputation process for
+  censored $y_i^*$ and uncertainty in simulating
+  $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of $Y_i$
+  for observations in the treatment group, under the assumption that
+  everything stays the same except that the treatment indicator is
+  switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(Surv(Y,
+  C) \~\, X, model = "lognorm", data)}, then you may examine the
+available information in \texttt{z.out} by using
+\texttt{names(z.out)}, see the {\tt coefficients} by using {\tt
+  z.out\$coefficients}, and a default summary of information
+through \texttt{summary(z.out)}.  Other elements available through
+the {\tt \$} operator are listed below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt icoef}: parameter estimates for the intercept and $\sigma$.  
+   \item {\tt var}: Variance-covariance matrix.  
+   \item {\tt loglik}: Vector containing the log-likelihood for the
+     model and intercept only (respectively).
+   \item {\tt linear.predictors}: the vector of
+     $x_{i}\beta$.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item Most of this may be conveniently summarized using {\tt
+   summary(z.out)}.  From {\tt summary(z.out)}, you may
+ additionally extract: 
+   \begin{itemize}
+   \item {\tt table}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by $(\lambda_i, \sigma)$.
+   \item {\tt qi\$fd}: the simulated first differences between the
+     simulated expected values for {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The exponential function is part of the survival library by by Terry
+Therneau, ported to R by Thomas Lumley. Advanced users may wish to
+refer to \texttt{help(survfit)} in the survival library, and
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality. 
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/lognorm.pdf b/inst/doc/lognorm.pdf
new file mode 100644
index 0000000..8eef0cf
Binary files /dev/null and b/inst/doc/lognorm.pdf differ
diff --git a/inst/doc/lognorm.tex b/inst/doc/lognorm.tex
new file mode 100644
index 0000000..1e60d18
--- /dev/null
+++ b/inst/doc/lognorm.tex
@@ -0,0 +1,293 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Log-Normal Regression for Duration Dependent Variables}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model,log, normal,bounded, regression, time durarion}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt lognorm}: Log-Normal Regression for Duration
+Dependent Variables}\label{lognorm}
+
+The log-normal model describes an event's duration, the dependent
+variable, as a function of a set of explanatory variables.  The
+log-normal model may take time censored dependent variables, and
+allows the hazard rate to increase and decrease.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Surv(Y, C) ~ X, model = "lognorm", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+Log-normal models require that the dependent variable be in the form
+{\tt Surv(Y, C)}, where {\tt Y} and {\tt C} are vectors of length $n$.
+For each observation $i$ in 1, \dots, $n$, the value $y_i$ is the
+duration (lifetime, for example) of each subject, and the associated
+$c_i$ is a binary variable such that $c_i = 1$ if the duration is not
+censored ({\it e.g.}, the subject dies during the study) or $c_i = 0$
+if the duration is censored ({\it e.g.}, the subject is still alive at
+the end of the study).  If $c_i$ is omitted, all Y are assumed to be
+completed; that is, time defaults to 1 for all observations.
+
+\subsubsection{Input Values} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for lognormal regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) based on the options in {\tt
+cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "exp", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}  
+
+\subsubsection{Example}
+
+Attach the sample data: 
+\begin{Schunk}
+\begin{Sinput}
+> data(coalition)
+\end{Sinput}
+\end{Schunk}
+Estimate the model: 
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model = "lognorm", 
++     data = coalition)
+\end{Sinput}
+\end{Schunk}
+View the regression output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, numst2 = 0)
+> x.high <- setx(z.out, numst2 = 1)
+\end{Sinput}
+\end{Schunk}
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt
+  qi\$fd}):
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.low, x1 = x.high)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/lognormal-ExamplePlot}
+\end{center} 
+
+\subsubsection{Model}
+
+Let $Y_i^*$ be the survival time for observation $i$ with the density
+function $f(y)$ and the corresponding distribution function
+$F(t)=\int_{0}^t f(y) dy$. This variable might be censored for some
+observations at a fixed time $y_c$ such that the fully observed
+dependent variable, $Y_i$, is defined as
+\begin{equation*}
+  Y_i = \left\{ \begin{array}{ll}
+      Y_i^* & \textrm{if }Y_i^* \leq y_c \\
+      y_c & \textrm{if }Y_i^* > y_c \\
+    \end{array} \right.
+\end{equation*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by the distribution
+  of the partially observed variable, $Y^*$.  For the lognormal model,
+there are two equivalent representations:  
+  \begin{eqnarray*}
+    Y_i^* \; \sim \; \textrm{LogNormal}(\mu_i, \sigma^2) & \textrm{ or
+} & \log(Y_i^*) \; \sim \; \textrm{Normal}(\mu_i, \sigma^2)
+\end{eqnarray*}
+where the parameters $\mu_i$ and $\sigma^2$ are the mean and variance
+of the Normal distribution. (Note that the output from {\tt zelig()}
+parameterizes {\tt scale}$ = \sigma$.)
+
+ In addition, survival models like the lognormal have three additional
+properties. The hazard function $h(t)$ measures the probability of not surviving
+  past time $t$ given survival up to $t$. In general, the hazard
+  function is equal to $f(t)/S(t)$ where the survival function $S(t) =
+  1 - \int_{0}^t f(s) ds$ represents the fraction still surviving at
+  time $t$.  The cumulative hazard function $H(t)$ describes the
+  probability of dying before time $t$.  In general, $H(t)=
+\int_{0}^{t} h(s) ds = -\log S(t)$. In the case of the lognormal model, 
+\begin{eqnarray*}
+h(t) &=& \frac{1}{\sqrt{2 \pi} \, \sigma t \, S(t)}
+\exp\left\{-\frac{1}{2 \sigma^2} (\log \lambda t)^2\right\} \\
+S(t) &=& 1 - \Phi\left(\frac{1}{\sigma} \log \lambda t\right) \\
+H(t) &=& -\log \left\{ 1 - \Phi\left(\frac{1}{\sigma} \log \lambda t\right) \right\}
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function for the Normal
+distribution.  
+
+\item The \emph{systematic component} is described as: 
+\begin{equation*}
+\mu_i = x_i \beta .
+\end{equation*}
+
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the lognormal model are
+  simulations of the expected duration:  
+\begin{equation*}
+E(Y) =  \exp\left(\mu_i + \frac{1}{2}\sigma^2 \right),
+\end{equation*}
+given draws of $\beta$ and $\sigma$ from their sampling distributions. 
+
+\item The predicted value is a draw from the log-normal distribution
+  given simulations of the parameters $(\lambda_i, \sigma)$.
+
+\item The first difference ({\tt qi\$fd}) is
+\begin{equation*}
+\textrm{FD} = E(Y \mid x_1) - E(Y \mid x). 
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is \begin{equation*}
+  \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \{ Y_i(t_i=1) - E[Y_i(t_i=0)] \}, \end{equation*} where $t_i$ is a binary explanatory variable
+  defining the treatment ($t_i=1$) and control ($t_i=0$) groups. When
+  $Y_i(t_i=1)$ is censored rather than observed, we replace it with a
+  simulation from the model given available knowledge of the censoring
+  process.  Variation in the simulations is due to two factors:
+  uncertainty in the imputation process for censored $y_i^*$ and
+  uncertainty in simulating $E[Y_i(t_i=0)]$, the counterfactual
+  expected value of $Y_i$ for observations in the treatment group,
+  under the assumption that everything stays the same except that the
+  treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+\begin{equation*}
+  \frac{1}{\sum_{i=1}^n t_i} \sum_{i:t_i=1}^n \{  Y_i(t_i=1) -
+\widehat{Y_i(t_i=0)} \}, 
+\end{equation*} 
+where $t_i$ is a binary explanatory
+  variable defining the treatment ($t_i=1$) and control ($t_i=0$)
+  groups.  When $Y_i(t_i=1)$ is censored rather than observed, we
+  replace it with a simulation from the model given available
+  knowledge of the censoring process.  Variation in the simulations
+  are due to two factors: uncertainty in the imputation process for
+  censored $y_i^*$ and uncertainty in simulating
+  $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of $Y_i$
+  for observations in the treatment group, under the assumption that
+  everything stays the same except that the treatment indicator is
+  switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(Surv(Y,
+  C) \~\, X, model = "lognorm", data)}, then you may examine the
+available information in \texttt{z.out} by using
+\texttt{names(z.out)}, see the {\tt coefficients} by using {\tt
+  z.out\$coefficients}, and a default summary of information
+through \texttt{summary(z.out)}.  Other elements available through
+the {\tt \$} operator are listed below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt icoef}: parameter estimates for the intercept and $\sigma$.  
+   \item {\tt var}: Variance-covariance matrix.  
+   \item {\tt loglik}: Vector containing the log-likelihood for the
+     model and intercept only (respectively).
+   \item {\tt linear.predictors}: the vector of
+     $x_{i}\beta$.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item Most of this may be conveniently summarized using {\tt
+   summary(z.out)}.  From {\tt summary(z.out)}, you may
+ additionally extract: 
+   \begin{itemize}
+   \item {\tt table}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by $(\lambda_i, \sigma)$.
+   \item {\tt qi\$fd}: the simulated first differences between the
+     simulated expected values for {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The exponential function is part of the survival library by by Terry
+Therneau, ported to R by Thomas Lumley. Advanced users may wish to
+refer to \texttt{help(survfit)} in the survival library, and
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality. 
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/ls.Rnw b/inst/doc/ls.Rnw
new file mode 100644
index 0000000..b49ee63
--- /dev/null
+++ b/inst/doc/ls.Rnw
@@ -0,0 +1,274 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/ls}
+\include{zinput}
+%\VignetteIndexEntry{Least Squares Regression for Continuous Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model,least squares,continuous, regression}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{{\tt ls}: Least Squares Regression for Continuous
+Dependent Variables}
+\label{ls}
+
+Use least squares regression analysis to estimate the best linear
+predictor for the specified dependent variables.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "ls", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}  
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for least squares regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors based on
+sandwich estimators (see \cite{Zeileis04}, \cite{Huber81}, and
+\cite{White80}).  The default type of robust standard error is
+heteroskedastic consistent (HC), \emph{not} heteroskedastic and
+autocorrelation consistent (HAC).  
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  choose from 
+\begin{itemize}
+\item {\tt "vcovHC"}: (the default if {\tt robust = TRUE}), HC standard errors.
+\item {\tt "vcovHAC"}: HAC standard errors without weights.  
+\item {\tt "kernHAC"}: HAC standard errors using the weights given in
+\cite{Andrews91}.   
+\item {\tt "weave"}: HAC standard errors using the weights given in
+\cite{LumHea99}.
+\end{itemize} 
+\item {\tt order.by}: only applies to the HAC methods above.  Defaults to
+{\tt NULL} (the observations are chronologically ordered as in the
+original data).  Optionally, you may specify a time index (either as
+{\tt order.by = z}, where {\tt z} exists outside the data frame; or
+as {\tt order.by = \~{}z}, where {\tt z} is a variable in the data
+frame).  The observations are chronologically ordered by the size of
+{\tt z}.
+\item {\tt \dots}:  additional options passed to the functions
+specified in {\tt method}.  See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}\begin{enumerate}
+\item Basic Example with First Differences
+
+Attach sample data:
+<<Examples.data>>=
+ data(macro)
+@ 
+Estimate model:
+<<Examples.zelig>>=
+ z.out1 <- zelig(unem ~ gdp + capmob + trade, model = "ls", data = macro)
+@ 
+Summarize regression coefficients:
+<<Examples.summary>>=
+ summary(z.out1)
+@ 
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) values for the trade variable:
+<<Examples.setx>>=
+ x.high <- setx(z.out1, trade = quantile(macro$trade, 0.8))
+ x.low <- setx(z.out1, trade = quantile(macro$trade, 0.2))
+@ 
+Generate first differences for the effect of high versus low trade on
+GDP:
+<<Examples.sim>>=
+ s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+@ 
+<<Examples.summary.sim>>= 
+summary(s.out1)
+@ 
+\begin{center}
+<<label=ExamplesPlot,fig=true,echo=true>>= 
+ plot(s.out1)
+@ 
+\end{center}
+
+\item Using Dummy Variables
+
+Estimate a model with fixed effects for each country (see
+\Sref{factors} for help with dummy variables).  Note that you do not
+need to create dummy variables, as the program will automatically
+parse the unique values in the selected variable into discrete levels.  
+<<Dummy.zelig>>=
+ z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(country), 
+                  model = "ls", data = macro)
+@   
+Set values for the explanatory variables, using the default mean/mode
+values, with country set to the United States and Japan, respectively:
+<<Dummy.setx>>=
+ x.US <- setx(z.out2, country = "United States")
+ x.Japan <- setx(z.out2, country = "Japan")
+@ 
+Simulate quantities of interest:
+<<Dummy.sim>>=
+ s.out2 <- sim(z.out2, x = x.US, x1 = x.Japan)
+@ 
+\begin{center}
+<<label=DummyPlot,fig=true,echo=true>>= 
+ plot(s.out2)
+@ 
+\end{center}
+
+\end{enumerate}
+
+\subsubsection{Model}
+\begin{itemize}
+\item The \emph{stochastic component} is described by a density
+  with mean $\mu_i$ and the common variance $\sigma^2$
+  \begin{equation*}
+    Y_i \; \sim \; f(y_i \mid \mu_i, \sigma^2).
+  \end{equation*}
+\item The \emph{systematic component} models the conditional mean as
+  \begin{equation*}
+     \mu_i =  x_i \beta
+  \end{equation*} 
+  where $x_i$ is the vector of covariates, and $\beta$ is the vector
+  of coefficients.
+  
+  The least squares estimator is the best linear predictor of a
+  dependent variable given $x_i$, and minimizes the sum of squared
+  residuals, $\sum_{i=1}^n (Y_i-x_i \beta)^2$.  
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the stochastic component,  
+\begin{equation*}
+E(Y) = x_i \beta,\end{equation*}
+given a draw of $\beta$ from its sampling distribution.  
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "ls", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+  \item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: fitted values.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+  
+\item From {\tt summary(z.out)}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+     \begin{equation*}
+       \hat{\beta} \; = \; \left(\sum_{i=1}^n x_i' x_i\right)^{-1} \sum x_i y_i
+     \end{equation*}
+   \item {\tt sigma}: the square root of the estimate variance of the
+     random error $e$:
+     \begin{equation*}
+       \hat{\sigma} \; = \; \frac{\sum (Y_i-x_i\hat{\beta})^2}{n-k}
+     \end{equation*}
+   \item {\tt r.squared}: the fraction of the variance explained by
+     the model. 
+     \begin{equation*}
+       R^2 \; = \; 1 - \frac{\sum (Y_i-x_i\hat{\beta})^2}{\sum (y_i -
+         \bar{y})^2} 
+     \end{equation*}
+   \item {\tt adj.r.squared}: the above $R^2$ statistic, penalizing
+     for an increased number of explanatory variables.  
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+   
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$fd}:  the simulated first differences (or
+     differences in expected values) for the specified values of {\tt
+       x} and {\tt x1}. 
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+   
+\subsubsection{Contributors}
+     
+The least squares regression is part of the stats package by William N.
+Venables and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to
+\texttt{help(lm)} and \texttt{help(lm.fit)}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/ls.pdf b/inst/doc/ls.pdf
new file mode 100644
index 0000000..5506d73
Binary files /dev/null and b/inst/doc/ls.pdf differ
diff --git a/inst/doc/ls.tex b/inst/doc/ls.tex
new file mode 100644
index 0000000..f0b3bea
--- /dev/null
+++ b/inst/doc/ls.tex
@@ -0,0 +1,285 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Least Squares Regression for Continuous Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model,least squares,continuous, regression}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt ls}: Least Squares Regression for Continuous
+Dependent Variables}
+\label{ls}
+
+Use least squares regression analysis to estimate the best linear
+predictor for the specified dependent variables.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "ls", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}  
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for least squares regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors based on
+sandwich estimators (see \cite{Zeileis04}, \cite{Huber81}, and
+\cite{White80}).  The default type of robust standard error is
+heteroskedastic consistent (HC), \emph{not} heteroskedastic and
+autocorrelation consistent (HAC).  
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  choose from 
+\begin{itemize}
+\item {\tt "vcovHC"}: (the default if {\tt robust = TRUE}), HC standard errors.
+\item {\tt "vcovHAC"}: HAC standard errors without weights.  
+\item {\tt "kernHAC"}: HAC standard errors using the weights given in
+\cite{Andrews91}.   
+\item {\tt "weave"}: HAC standard errors using the weights given in
+\cite{LumHea99}.
+\end{itemize} 
+\item {\tt order.by}: only applies to the HAC methods above.  Defaults to
+{\tt NULL} (the observations are chronologically ordered as in the
+original data).  Optionally, you may specify a time index (either as
+{\tt order.by = z}, where {\tt z} exists outside the data frame; or
+as {\tt order.by = \~{}z}, where {\tt z} is a variable in the data
+frame).  The observations are chronologically ordered by the size of
+{\tt z}.
+\item {\tt \dots}:  additional options passed to the functions
+specified in {\tt method}.  See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}\begin{enumerate}
+\item Basic Example with First Differences
+
+Attach sample data:
+\begin{Schunk}
+\begin{Sinput}
+> data(macro)
+\end{Sinput}
+\end{Schunk}
+Estimate model:
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(unem ~ gdp + capmob + trade, model = "ls", data = macro)
+\end{Sinput}
+\end{Schunk}
+Summarize regression coefficients:
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out1)
+\end{Sinput}
+\end{Schunk}
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) values for the trade variable:
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out1, trade = quantile(macro$trade, 0.8))
+> x.low <- setx(z.out1, trade = quantile(macro$trade, 0.2))
+\end{Sinput}
+\end{Schunk}
+Generate first differences for the effect of high versus low trade on
+GDP:
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/ls-ExamplesPlot}
+\end{center}
+
+\item Using Dummy Variables
+
+Estimate a model with fixed effects for each country (see
+\Sref{factors} for help with dummy variables).  Note that you do not
+need to create dummy variables, as the program will automatically
+parse the unique values in the selected variable into discrete levels.  
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(country), 
++     model = "ls", data = macro)
+\end{Sinput}
+\end{Schunk}
+Set values for the explanatory variables, using the default mean/mode
+values, with country set to the United States and Japan, respectively:
+\begin{Schunk}
+\begin{Sinput}
+> x.US <- setx(z.out2, country = "United States")
+> x.Japan <- setx(z.out2, country = "Japan")
+\end{Sinput}
+\end{Schunk}
+Simulate quantities of interest:
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out2, x = x.US, x1 = x.Japan)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/ls-DummyPlot}
+\end{center}
+
+\end{enumerate}
+
+\subsubsection{Model}
+\begin{itemize}
+\item The \emph{stochastic component} is described by a density
+  with mean $\mu_i$ and the common variance $\sigma^2$
+  \begin{equation*}
+    Y_i \; \sim \; f(y_i \mid \mu_i, \sigma^2).
+  \end{equation*}
+\item The \emph{systematic component} models the conditional mean as
+  \begin{equation*}
+     \mu_i =  x_i \beta
+  \end{equation*} 
+  where $x_i$ is the vector of covariates, and $\beta$ is the vector
+  of coefficients.
+  
+  The least squares estimator is the best linear predictor of a
+  dependent variable given $x_i$, and minimizes the sum of squared
+  residuals, $\sum_{i=1}^n (Y_i-x_i \beta)^2$.  
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the stochastic component,  
+\begin{equation*}
+E(Y) = x_i \beta,\end{equation*}
+given a draw of $\beta$ from its sampling distribution.  
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "ls", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+  \item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: fitted values.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+  
+\item From {\tt summary(z.out)}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+     \begin{equation*}
+       \hat{\beta} \; = \; \left(\sum_{i=1}^n x_i' x_i\right)^{-1} \sum x_i y_i
+     \end{equation*}
+   \item {\tt sigma}: the square root of the estimate variance of the
+     random error $e$:
+     \begin{equation*}
+       \hat{\sigma} \; = \; \frac{\sum (Y_i-x_i\hat{\beta})^2}{n-k}
+     \end{equation*}
+   \item {\tt r.squared}: the fraction of the variance explained by
+     the model. 
+     \begin{equation*}
+       R^2 \; = \; 1 - \frac{\sum (Y_i-x_i\hat{\beta})^2}{\sum (y_i -
+         \bar{y})^2} 
+     \end{equation*}
+   \item {\tt adj.r.squared}: the above $R^2$ statistic, penalizing
+     for an increased number of explanatory variables.  
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+   
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$fd}:  the simulated first differences (or
+     differences in expected values) for the specified values of {\tt
+       x} and {\tt x1}. 
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+   
+\subsubsection{Contributors}
+     
+The least squares regression is part of the stats package by William N.
+Venables and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to
+\texttt{help(lm)} and \texttt{help(lm.fit)}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
diff --git a/inst/doc/mlogit.Rnw b/inst/doc/mlogit.Rnw
new file mode 100644
index 0000000..0e35fad
--- /dev/null
+++ b/inst/doc/mlogit.Rnw
@@ -0,0 +1,285 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/mlogit}
+\include{zinput}
+%\VignetteIndexEntry{Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}
+%\VignetteDepends{Zelig, VGAM}
+%\VignetteKeyWords{model, bayes,multinomial, logistic regression}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+\section{{\tt mlogit}: Multinomial Logistic Regression for
+Dependent Variables with Unordered Categorical Values}\label{mlogit}
+Use the multinomial logit distribution to model unordered categorical
+variables.  The dependent variable may be in the format of either
+character strings or integer values.  See 
+%\Sref{mlogit.bayes} 
+for a Bayesian version of this model.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(as.factor(Y) ~ X1 + X2, model = "mlogit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Input Values}
+
+If the user wishes to use the same formula across all levels, then 
+\verb|formula <- as.factor(Y) ~ X1 + X2| may be used. 
+If the user wants to use different formula for each level then the following 
+syntax should be used:
+\begin{verbatim}
+formulae <- list(list(id(Y, "apples")~ X1, 
+                      id(Y, "bananas")~ X1 + X2)
+\end{verbatim}
+where Y above is supposed to be a factor variable with levels {apples,bananas,oranges}.  
+By default, oranges is the last level and omitted.  (You cannot
+specify a different base level at this time.)  
+For $J$ equations, there must be $J + 1$ levels.
+ 
+\subsubsection{Examples} \label{ternary}
+
+\begin{enumerate}
+
+\item {The same formula for each level}
+
+Load the sample data:  
+<<Examples.data>>=
+ data(mexico)
+@ 
+Estimate the empirical model:  
+<<Examples.zelig>>=
+ z.out1 <- zelig(as.factor(vote88) ~ pristr + othcok + othsocok, 
+                  model = "mlogit", data = mexico)
+@ 
+Set the explanatory variables to their default values, with {\tt pristr}
+(for the strength of the PRI) equal to 1 (weak) in the baseline values, and
+equal to 3 (strong) in the alternative values:  
+<<Examples.setx>>=
+ x.weak <- setx(z.out1, pristr = 1)
+ x.strong <- setx(z.out1, pristr = 3)
+@ 
+Generate simulated predicted probabilities {\tt qi\$ev} and differences in
+the predicted probabilities {\tt qi\$fd}:
+<<Examples.sim>>=
+ s.out1 <- sim(z.out1, x = x.strong, x1 = x.weak)
+
+@ 
+<<Examples.summary>>= 
+summary(s.out1)
+@ 
+Generate simulated predicted probabilities {\tt qi\$ev} for the
+alternative values:  
+<<Examples.weak>>=
+ ev.weak <- s.out1$qi$ev + s.out1$qi$fd
+
+@ 
+Plot the differences in the predicted probabilities.  
+<<Examples.library>>=
+ library(vcd)
+@
+%%%%does not work but the demo gives same error message
+%%%funlegend=ternarypoints,legendargs=parpoint
+\begin{center}
+<<label=TernaryPlot,fig=true, echo=true>>=
+ternaryplot(x=s.out1$qi$ev, pch = ".", col = "blue",main = "1988 Mexican Presidential Election")
+
+###ternarypoints(ev.weak, pch = ".", col = "red")
+@
+\end{center}
+\item {Different formula for each level}
+
+Estimate the empirical model:  
+<<Levels.zelig>>=
+ z.out2 <- zelig(list(id(vote88, "1") ~ pristr + othcok,
+                       id(vote88, "2") ~ othsocok), 
+                  model = "mlogit", data = mexico)
+@ 
+Set the explanatory variables to their default values, with {\tt pristr}
+(for the strength of the PRI) equal to 1 (weak) in the baseline values, and
+equal to 3 (strong) in the alternative values: 
+<<Levels.setx>>=
+ x.weak <- setx(z.out2, pristr = 1)
+ x.strong <- setx(z.out2, pristr = 3)
+@ 
+Generate simulated predicted probabilities {\tt qi\$ev} and differences in
+the predicted probabilities {\tt qi\$fd}:
+<<Levels.sim>>=
+ s.out1 <- sim(z.out2, x = x.strong, x1 = x.weak)
+@
+<<Levels.summary>>= 
+ summary(s.out1)
+@ 
+Generate simulated predicted probabilities {\tt qi\$ev} for the
+alternative values:  
+<<Levels.weak>>=
+ ev.weak <- s.out1$qi$ev + s.out1$qi$fd
+@ 
+Using the vcd package, plot the differences in the predicted probabilities.
+\begin{center}
+<<label=LevelsTernaryPlot,fig=true,echo=true>>=
+ternaryplot(s.out1$qi$ev, pch = ".", col = "blue", main = "1988 Mexican Presidential Election")
+###ternarypoints(ev.weak, pch = ".", col = "red")
+@
+\end{center} 
+
+ 
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i$ be the unordered categorical dependent variable that takes
+one of the values from 1 to $J$, where $J$ is the total number of
+categories.
+
+\begin{itemize}
+\item The stochastic component is given by
+  \begin{equation*}
+    Y_i \; \sim \; \textrm{Multinomial}(y_{i} \mid \pi_{ij}), 
+  \end{equation*}
+  where $\pi_{ij}=\Pr(Y_i=j)$ for $j=1,\dots,J$. 
+  
+\item The systemic component is given by:  
+  \begin{equation*}
+    \pi_{ij}\; = \; \frac{\exp(x_{i}\beta_{j})}{\sum^{J}_{k = 1}
+      \exp(x_{i}\beta_{k})},
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables for observation
+  $i$, and $\beta_j$ is the vector of coefficients for category $j$.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the predicted probability
+  for each category:
+\begin{equation*}
+  E(Y) \; = \; \pi_{ij}\; = \; \frac{\exp(x_{i}\beta_{j})}{\sum^{J}_{k = 1}
+      \exp(x_{i}\beta_{k})}.
+\end{equation*}
+
+\item The predicted value ({\tt qi\$pr}) is a draw from the
+  multinomial distribution defined by the predicted probabilities.  
+
+\item The first difference in predicted
+  probabilities ({\tt qi\$fd}), for each category is given by:
+\begin{equation*}
+\textrm{FD}_j = \Pr(Y=j \mid x_1) - \Pr(Y=j \mid x) \quad {\rm for}
+\quad j=1,\dots,J.
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "mlogit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times J$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times (J-1)$ matrix of the linear
+     predictors $x_i \beta_j$.
+   \item {\tt residuals}: an $n \times (J-1)$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times J$ matrix of the dependent variables.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times (m-1)$ matrix of the Pearson residuals.  
+\end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as arrays.  Available quantities
+  are:  
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}, indexed by simulation $\times$
+     quantity $\times$ {\tt x}-observation (for more than one {\tt
+       x}-observation).
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by the expected probabilities, indexed by
+     simulation $\times$ {\tt x}-observation.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1},
+     indexed by simulation $\times$ quantity $\times$ {\tt
+       x}-observation (for more than one {\tt x}-observation).
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models, 
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Further Information}
+
+The multinomial logit model is part of the VGAM package by Thomas Yee.
+Please cite the model as:
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)}
+in the VGAM library.  Additional documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
diff --git a/inst/doc/mlogit.bayes.Rnw b/inst/doc/mlogit.bayes.Rnw
new file mode 100644
index 0000000..27aaf9c
--- /dev/null
+++ b/inst/doc/mlogit.bayes.Rnw
@@ -0,0 +1,307 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/mlogitBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, bayes,multinomial, logistic regression}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ 
+
+\section{\texttt{mlogit.bayes}: Bayesian Multinomial Logistic
+Regression}
+
+\label{mlogit.bayes}
+
+Use Bayesian multinomial logistic regression to model unordered
+categorical variables.  The dependent variable may be in the format of
+either character strings or integer values.  The model is estimated
+via a random walk Metropolis algorithm or a slice sampler.  See
+\Sref{mlogit} for the maximum-likelihood estimation of this model.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "mlogit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+{\tt zelig()} accepts the following arguments for {\tt mlogit.bayes}:
+\begin{itemize}
+\item \texttt{baseline}: either a character string or numeric value
+(equal to one of the observed values in the dependent variable)
+specifying a baseline category.  The default value is \texttt{NA}
+which sets the baseline to the first alphabetical or numerical unique
+value of the dependent variable.
+\end{itemize}
+
+The model accepts the following additional arguments to monitor the
+Markov chains:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{mcmc.method}: either {\tt "MH"} or {\tt "slice"}, specifying whether
+to use Metropolis Algorithm or slice sampler. The default value is
+\texttt{"MH"}.
+
+\item \texttt{tune}: tuning parameter for the Metropolis-Hasting step,
+either a scalar or a numeric vector (for $k$ coefficients, enter a $k$
+vector).  The tuning parameter should be set such that the acceptance 
+rate is satisfactory (between 0.2 and 0.5). The default value is 1.1.
+
+\item \texttt{verbose}: defaults to \texttt{FALSE}.
+If \texttt{TRUE}, the progress of the sampler (every $10\%$) is
+printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default is 
+\texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or a vector (for $k$ coefficients, enter a $k$
+vector). The default is \texttt{NA} where the maximum likelihood
+estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following arguments to specify the priors for the model:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a scalar or
+vector.  If a scalar, that value will be the prior mean for all the
+coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix with the dimensions equal to the number of
+coefficients or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0 which
+leads to an improper prior.
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCmnl)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample dataset:
+<<BasicExample.data>>=
+ data(mexico)
+@ 
+Estimating multinomial logistics regression using \texttt{mlogit.bayes}:
+<<BasicExample.zelig>>=
+ z.out <- zelig(vote88 ~ pristr + othcok + othsocok, model = "mlogit.bayes", 
+               data = mexico)
+@ 
+Checking for convergence before summarizing the estimates:
+<<BasicExample.heidel>>=
+ heidel.diag(z.out$coefficients)
+@ 
+<<BasicExample.raftery>>= 
+raftery.diag(z.out$coefficients)
+@ 
+<<BasicExample.summary>>= 
+summary(z.out)
+@ \end{verbatim} 
+Setting values for the explanatory variables to their sample averages:
+<<BasicExample.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution
+given \texttt{x.out}.
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@ 
+<<BasicExample.summary.sim>>= 
+summary(s.out1)
+@ 
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in the probabilities of
+voting different candidates when \texttt{pristr} (the strength of the
+PRI) is set to be weak (equal to 1) versus strong (equal to 3)
+while all the other variables held at their default values.
+<<FirstDifferences.setx>>=
+ x.weak <- setx(z.out, pristr = 1)
+ x.strong <- setx(z.out, pristr = 3)
+@ 
+<<FirstDifferences.sim>>= 
+s.out2 <- sim(z.out, x = x.strong, x1 = x.weak)
+@ 
+<<FirstDifferences.summary>>= 
+summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the (unordered) categorical dependent variable for observation 
+$i$ which takes an integer values $j=1, \ldots, J$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by:
+\begin{eqnarray*}
+Y_{i} &\sim& \textrm{Multinomial}(Y_i \mid \pi_{ij}).
+\end{eqnarray*}
+where $\pi_{ij}=\Pr(Y_i=j)$ for $j=1, \ldots, J$.
+
+\item The \emph{systematic component} is given by
+
+\begin{eqnarray*}
+\pi_{ij}=\frac{\exp(x_i\beta_j)}{\sum_{k=1}^J \exp(x_i\beta_k)},
+\textrm{ for } j=1,\ldots, J-1,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for
+observation $i$ and $\beta_j$ is the vector of coefficient for
+category $j$. Category $J$ is assumed to be the baseline category.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta_j \sim \textrm{Normal}_k\left(  b_{0},B_{0}^{-1}\right) 
+\textrm{ for } j = 1, \ldots, J-1,
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the multinomial logistics
+ regression model are the predicted probability of belonging to each
+ category:
+\begin{eqnarray*}
+\Pr(Y_i=j)=\pi_{ij}=\frac{\exp(x_i \beta_j)}{\sum_{k=1}^J \exp(x_J
+\beta_k)}, \quad \textrm{ for } j=1,\ldots, J-1,
+\end{eqnarray*}
+and 
+\begin{eqnarray*}
+\Pr(Y_i=J)=1-\sum_{j=1}^{J-1}\Pr(Y_i=j)
+\end{eqnarray*}
+given the posterior draws of $\beta_j$ for all categories from the 
+MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are the draws of 
+$Y_i$  from a multinomial distribution whose parameters are the expected 
+values(\texttt{qi\$ev}) computed based on the posterior draws 
+of $\beta$ from the MCMC iterations.
+
+\item The first difference (\texttt{qi\$fd}) in category $j$ for the 
+multinomial logistic model is defined as
+\begin{eqnarray*}
+\text{FD}_j=\Pr(Y_i=j\mid X_{1})-\Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr}) in category $j$ is defined as
+\begin{eqnarray*}
+\text{RR}_j=\Pr(Y_i=j\mid X_{1})\ /\ \Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "mlogit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated coefficients $\beta$ for each category except the baseline
+category. 
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values(probabilities) of 
+each of the $J$ categories given the specified values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values drawn from the 
+multinomial distribution defined by the expected values(\texttt{qi\$ev})
+given the specified values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values of each of the $J$ categories for the values specified in 
+\texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the 
+expected values of each of the $J$ categories simulated 
+from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian multinomial logistic regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{mlogit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/mlogit.bayes.pdf b/inst/doc/mlogit.bayes.pdf
new file mode 100644
index 0000000..b9e8398
Binary files /dev/null and b/inst/doc/mlogit.bayes.pdf differ
diff --git a/inst/doc/mlogit.bayes.tex b/inst/doc/mlogit.bayes.tex
new file mode 100644
index 0000000..af34de7
--- /dev/null
+++ b/inst/doc/mlogit.bayes.tex
@@ -0,0 +1,316 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, bayes,multinomial, logistic regression}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{mlogit.bayes}: Bayesian Multinomial Logistic
+Regression}
+
+\label{mlogit.bayes}
+
+Use Bayesian multinomial logistic regression to model unordered
+categorical variables.  The dependent variable may be in the format of
+either character strings or integer values.  The model is estimated
+via a random walk Metropolis algorithm or a slice sampler.  See
+\Sref{mlogit} for the maximum-likelihood estimation of this model.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "mlogit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+{\tt zelig()} accepts the following arguments for {\tt mlogit.bayes}:
+\begin{itemize}
+\item \texttt{baseline}: either a character string or numeric value
+(equal to one of the observed values in the dependent variable)
+specifying a baseline category.  The default value is \texttt{NA}
+which sets the baseline to the first alphabetical or numerical unique
+value of the dependent variable.
+\end{itemize}
+
+The model accepts the following additional arguments to monitor the
+Markov chains:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{mcmc.method}: either {\tt "MH"} or {\tt "slice"}, specifying whether
+to use Metropolis Algorithm or slice sampler. The default value is
+\texttt{"MH"}.
+
+\item \texttt{tune}: tuning parameter for the Metropolis-Hasting step,
+either a scalar or a numeric vector (for $k$ coefficients, enter a $k$
+vector).  The tuning parameter should be set such that the acceptance 
+rate is satisfactory (between 0.2 and 0.5). The default value is 1.1.
+
+\item \texttt{verbose}: defaults to \texttt{FALSE}.
+If \texttt{TRUE}, the progress of the sampler (every $10\%$) is
+printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default is 
+\texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or a vector (for $k$ coefficients, enter a $k$
+vector). The default is \texttt{NA} where the maximum likelihood
+estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following arguments to specify the priors for the model:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a scalar or
+vector.  If a scalar, that value will be the prior mean for all the
+coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix with the dimensions equal to the number of
+coefficients or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0 which
+leads to an improper prior.
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCmnl)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(mexico)
+\end{Sinput}
+\end{Schunk}
+Estimating multinomial logistics regression using \texttt{mlogit.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(vote88 ~ pristr + othcok + othsocok, model = "mlogit.bayes", 
++     data = mexico)
+\end{Sinput}
+\end{Schunk}
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution
+given \texttt{x.out}.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in the probabilities of
+voting different candidates when \texttt{pristr} (the strength of the
+PRI) is set to be weak (equal to 1) versus strong (equal to 3)
+while all the other variables held at their default values.
+\begin{Schunk}
+\begin{Sinput}
+> x.weak <- setx(z.out, pristr = 1)
+> x.strong <- setx(z.out, pristr = 3)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.strong, x1 = x.weak)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the (unordered) categorical dependent variable for observation 
+$i$ which takes an integer values $j=1, \ldots, J$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by:
+\begin{eqnarray*}
+Y_{i} &\sim& \textrm{Multinomial}(Y_i \mid \pi_{ij}).
+\end{eqnarray*}
+where $\pi_{ij}=\Pr(Y_i=j)$ for $j=1, \ldots, J$.
+
+\item The \emph{systematic component} is given by
+
+\begin{eqnarray*}
+\pi_{ij}=\frac{\exp(x_i\beta_j)}{\sum_{k=1}^J \exp(x_i\beta_k)},
+\textrm{ for } j=1,\ldots, J-1,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for
+observation $i$ and $\beta_j$ is the vector of coefficient for
+category $j$. Category $J$ is assumed to be the baseline category.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta_j \sim \textrm{Normal}_k\left(  b_{0},B_{0}^{-1}\right) 
+\textrm{ for } j = 1, \ldots, J-1,
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the multinomial logistics
+ regression model are the predicted probability of belonging to each
+ category:
+\begin{eqnarray*}
+\Pr(Y_i=j)=\pi_{ij}=\frac{\exp(x_i \beta_j)}{\sum_{k=1}^J \exp(x_J
+\beta_k)}, \quad \textrm{ for } j=1,\ldots, J-1,
+\end{eqnarray*}
+and 
+\begin{eqnarray*}
+\Pr(Y_i=J)=1-\sum_{j=1}^{J-1}\Pr(Y_i=j)
+\end{eqnarray*}
+given the posterior draws of $\beta_j$ for all categories from the 
+MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are the draws of 
+$Y_i$  from a multinomial distribution whose parameters are the expected 
+values(\texttt{qi\$ev}) computed based on the posterior draws 
+of $\beta$ from the MCMC iterations.
+
+\item The first difference (\texttt{qi\$fd}) in category $j$ for the 
+multinomial logistic model is defined as
+\begin{eqnarray*}
+\text{FD}_j=\Pr(Y_i=j\mid X_{1})-\Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr}) in category $j$ is defined as
+\begin{eqnarray*}
+\text{RR}_j=\Pr(Y_i=j\mid X_{1})\ /\ \Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "mlogit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a default
+summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated coefficients $\beta$ for each category except the baseline
+category. 
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values(probabilities) of 
+each of the $J$ categories given the specified values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values drawn from the 
+multinomial distribution defined by the expected values(\texttt{qi\$ev})
+given the specified values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values of each of the $J$ categories for the values specified in 
+\texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the 
+expected values of each of the $J$ categories simulated 
+from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian multinomial logistic regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{mlogit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+ \end{document}
diff --git a/inst/doc/mlogit.pdf b/inst/doc/mlogit.pdf
new file mode 100644
index 0000000..7ae233f
Binary files /dev/null and b/inst/doc/mlogit.pdf differ
diff --git a/inst/doc/mlogit.tex b/inst/doc/mlogit.tex
new file mode 100644
index 0000000..82e1ba8
--- /dev/null
+++ b/inst/doc/mlogit.tex
@@ -0,0 +1,296 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}
+%\VignetteDepends{Zelig, VGAM}
+%\VignetteKeyWords{model, bayes,multinomial, logistic regression}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\section{{\tt mlogit}: Multinomial Logistic Regression for
+Dependent Variables with Unordered Categorical Values}\label{mlogit}
+Use the multinomial logit distribution to model unordered categorical
+variables.  The dependent variable may be in the format of either
+character strings or integer values.  See 
+%\Sref{mlogit.bayes} 
+for a Bayesian version of this model.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(as.factor(Y) ~ X1 + X2, model = "mlogit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Input Values}
+
+If the user wishes to use the same formula across all levels, then 
+\verb|formula <- as.factor(Y) ~ X1 + X2| may be used. 
+If the user wants to use different formula for each level then the following 
+syntax should be used:
+\begin{verbatim}
+formulae <- list(list(id(Y, "apples")~ X1, 
+                      id(Y, "bananas")~ X1 + X2)
+\end{verbatim}
+where Y above is supposed to be a factor variable with levels {apples,bananas,oranges}.  
+By default, oranges is the last level and omitted.  (You cannot
+specify a different base level at this time.)  
+For $J$ equations, there must be $J + 1$ levels.
+ 
+\subsubsection{Examples} \label{ternary}
+
+\begin{enumerate}
+
+\item {The same formula for each level}
+
+Load the sample data:  
+\begin{Schunk}
+\begin{Sinput}
+> data(mexico)
+\end{Sinput}
+\end{Schunk}
+Estimate the empirical model:  
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(as.factor(vote88) ~ pristr + othcok + othsocok, 
++     model = "mlogit", data = mexico)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their default values, with {\tt pristr}
+(for the strength of the PRI) equal to 1 (weak) in the baseline values, and
+equal to 3 (strong) in the alternative values:  
+\begin{Schunk}
+\begin{Sinput}
+> x.weak <- setx(z.out1, pristr = 1)
+> x.strong <- setx(z.out1, pristr = 3)
+\end{Sinput}
+\end{Schunk}
+Generate simulated predicted probabilities {\tt qi\$ev} and differences in
+the predicted probabilities {\tt qi\$fd}:
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.strong, x1 = x.weak)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+Generate simulated predicted probabilities {\tt qi\$ev} for the
+alternative values:  
+\begin{Schunk}
+\begin{Sinput}
+> ev.weak <- s.out1$qi$ev + s.out1$qi$fd
+\end{Sinput}
+\end{Schunk}
+Plot the differences in the predicted probabilities.  
+\begin{Schunk}
+\begin{Sinput}
+> library(vcd)
+\end{Sinput}
+\end{Schunk}
+%%%%does not work but the demo gives same error message
+%%%funlegend=ternarypoints,legendargs=parpoint
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> ternaryplot(x = s.out1$qi$ev, pch = ".", col = "blue", main = "1988 Mexican Presidential Election")
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/mlogit-TernaryPlot}
+\end{center}
+\item {Different formula for each level}
+
+Estimate the empirical model:  
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(list(id(vote88, "1") ~ pristr + othcok, id(vote88, 
++     "2") ~ othsocok), model = "mlogit", data = mexico)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their default values, with {\tt pristr}
+(for the strength of the PRI) equal to 1 (weak) in the baseline values, and
+equal to 3 (strong) in the alternative values: 
+\begin{Schunk}
+\begin{Sinput}
+> x.weak <- setx(z.out2, pristr = 1)
+> x.strong <- setx(z.out2, pristr = 3)
+\end{Sinput}
+\end{Schunk}
+Generate simulated predicted probabilities {\tt qi\$ev} and differences in
+the predicted probabilities {\tt qi\$fd}:
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out2, x = x.strong, x1 = x.weak)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+Generate simulated predicted probabilities {\tt qi\$ev} for the
+alternative values:  
+\begin{Schunk}
+\begin{Sinput}
+> ev.weak <- s.out1$qi$ev + s.out1$qi$fd
+\end{Sinput}
+\end{Schunk}
+Using the vcd package, plot the differences in the predicted probabilities.
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> ternaryplot(s.out1$qi$ev, pch = ".", col = "blue", main = "1988 Mexican Presidential Election")
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/mlogit-LevelsTernaryPlot}
+\end{center} 
+
+ 
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i$ be the unordered categorical dependent variable that takes
+one of the values from 1 to $J$, where $J$ is the total number of
+categories.
+
+\begin{itemize}
+\item The stochastic component is given by
+  \begin{equation*}
+    Y_i \; \sim \; \textrm{Multinomial}(y_{i} \mid \pi_{ij}), 
+  \end{equation*}
+  where $\pi_{ij}=\Pr(Y_i=j)$ for $j=1,\dots,J$. 
+  
+\item The systemic component is given by:  
+  \begin{equation*}
+    \pi_{ij}\; = \; \frac{\exp(x_{i}\beta_{j})}{\sum^{J}_{k = 1}
+      \exp(x_{i}\beta_{k})},
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables for observation
+  $i$, and $\beta_j$ is the vector of coefficients for category $j$.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the predicted probability
+  for each category:
+\begin{equation*}
+  E(Y) \; = \; \pi_{ij}\; = \; \frac{\exp(x_{i}\beta_{j})}{\sum^{J}_{k = 1}
+      \exp(x_{i}\beta_{k})}.
+\end{equation*}
+
+\item The predicted value ({\tt qi\$pr}) is a draw from the
+  multinomial distribution defined by the predicted probabilities.  
+
+\item The first difference in predicted
+  probabilities ({\tt qi\$fd}), for each category is given by:
+\begin{equation*}
+\textrm{FD}_j = \Pr(Y=j \mid x_1) - \Pr(Y=j \mid x) \quad {\rm for}
+\quad j=1,\dots,J.
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "mlogit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times J$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times (J-1)$ matrix of the linear
+     predictors $x_i \beta_j$.
+   \item {\tt residuals}: an $n \times (J-1)$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times J$ matrix of the dependent variables.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times (m-1)$ matrix of the Pearson residuals.  
+\end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as arrays.  Available quantities
+  are:  
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}, indexed by simulation $\times$
+     quantity $\times$ {\tt x}-observation (for more than one {\tt
+       x}-observation).
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by the expected probabilities, indexed by
+     simulation $\times$ {\tt x}-observation.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1},
+     indexed by simulation $\times$ quantity $\times$ {\tt
+       x}-observation (for more than one {\tt x}-observation).
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models, 
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Further Information}
+
+The multinomial logit model is part of the VGAM package by Thomas Yee.
+Please cite the model as:
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)}
+in the VGAM library.  Additional documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+ \end{document}
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
diff --git a/inst/doc/mloglm.Rnw b/inst/doc/mloglm.Rnw
new file mode 100644
index 0000000..d52deb1
--- /dev/null
+++ b/inst/doc/mloglm.Rnw
@@ -0,0 +1,129 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/mloglm}
+\include{zinput}
+%\VignetteIndexEntry{Multinomial Log-Linear Regression for Contingency Table Models}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, log-linear,multinomial, regression, contingency table}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@ \include{zinput}
+
+\section{{\tt mloglm}: Multinomial Log-Linear Regression
+for Contingency Table Models}\label{mloglm}
+
+Log-linear models are for modeling contingency tables, the
+cross-tabulation of discrete individual-level variables.  Contingency
+table models take as the ``unit of analysis'' for the purpose of the
+statistical procedure, the cell of a contingency table.  The
+``dependent variable'' is then the count within each cell, and the
+explanatory variables indicate what categories the cells fall into.
+These models are highly efficient computationally since there are so
+few ``observations,'' but they are asymptotically equivalent to
+logistic regression models run on the unpacked individual level data.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> estimate <- zelig(Y ~ X1 + X2, model = "mloglm", data = mydata)
+> Xval <- setx(estimate)
+> results <- sim(estimate, x = Xval)
+\end{verbatim}
+
+\subsubsection{Examples}
+
+\subsubsection{Model}
+
+\subsubsection{Quantities of Interest}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{estimate <- zelig(y \~\,
+  x, model = "mloglm", data)}, then you may examine the available
+information in \texttt{estimate} by using \texttt{names(estimate)},
+see the {\tt coefficients} by using {\tt estimate\$coefficients}, and
+a default summary of information through \texttt{summary(estimate)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output stored in {\tt estimate}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt deviance}: the residual deviance.
+   \item {\tt fitted.values}: the $n \times m$ matrix of in-sample
+     fitted values.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt edf}: the effective degrees of freedom.  
+   \item {\tt AIC}: Akaike's An Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt Hessian}: the Hessian matrix.
+   \end{itemize}
+
+\item From {\tt summary(estimate)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output stored in {\tt results}:
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected (or fitted values) for
+     the specified values of {\tt x}.  
+   \item {\tt qi\$rd}: the difference in the expected values (or first
+     difference) for the values specified in {\tt x} and
+     {\tt x1}.
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The multinomial logit model is part of the nnet library by Brian D.
+Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{Ripley1996}.
+\end{verse}
+
+Advanced users may wish to refer to the R-help for
+\texttt{help(multinom)} and 
+\begin{verse}
+\bibentry{VenRip2002}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/mloglm.pdf b/inst/doc/mloglm.pdf
new file mode 100644
index 0000000..a352245
Binary files /dev/null and b/inst/doc/mloglm.pdf differ
diff --git a/inst/doc/mloglm.tex b/inst/doc/mloglm.tex
new file mode 100644
index 0000000..9e364a1
--- /dev/null
+++ b/inst/doc/mloglm.tex
@@ -0,0 +1,116 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Multinomial Log-Linear Regression for Contingency Table Models}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, log-linear,multinomial, regression, contingency table}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt mloglm}: Multinomial Log-Linear Regression
+for Contingency Table Models}\label{mloglm}
+
+Log-linear models are for modeling contingency tables, the
+cross-tabulation of discrete individual-level variables.  Contingency
+table models take as the ``unit of analysis'' for the purpose of the
+statistical procedure, the cell of a contingency table.  The
+``dependent variable'' is then the count within each cell, and the
+explanatory variables indicate what categories the cells fall into.
+These models are highly efficient computationally since there are so
+few ``observations,'' but they are asymptotically equivalent to
+logistic regression models run on the unpacked individual level data.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> estimate <- zelig(Y ~ X1 + X2, model = "mloglm", data = mydata)
+> Xval <- setx(estimate)
+> results <- sim(estimate, x = Xval)
+\end{verbatim}
+
+\subsubsection{Examples}
+
+\subsubsection{Model}
+
+\subsubsection{Quantities of Interest}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{estimate <- zelig(y \~\,
+  x, model = "mloglm", data)}, then you may examine the available
+information in \texttt{estimate} by using \texttt{names(estimate)},
+see the {\tt coefficients} by using {\tt estimate\$coefficients}, and
+a default summary of information through \texttt{summary(estimate)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output stored in {\tt estimate}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt deviance}: the residual deviance.
+   \item {\tt fitted.values}: the $n \times m$ matrix of in-sample
+     fitted values.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt edf}: the effective degrees of freedom.  
+   \item {\tt AIC}: Akaike's An Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt Hessian}: the Hessian matrix.
+   \end{itemize}
+
+\item From {\tt summary(estimate)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output stored in {\tt results}:
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected (or fitted values) for
+     the specified values of {\tt x}.  
+   \item {\tt qi\$rd}: the difference in the expected values (or first
+     difference) for the values specified in {\tt x} and
+     {\tt x1}.
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The multinomial logit model is part of the nnet library by Brian D.
+Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{Ripley1996}.
+\end{verse}
+
+Advanced users may wish to refer to the R-help for
+\texttt{help(multinom)} and 
+\begin{verse}
+\bibentry{VenRip2002}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End: 
+ \end{document}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/models/arima.aux b/inst/doc/models/arima.aux
deleted file mode 100644
index e95d420..0000000
--- a/inst/doc/models/arima.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\citation{Enders04}
-\citation{BroDav91}
-\@writefile{toc}{\contentsline {section}{\numberline {12.1}{\tt  ARIMA} : ARIMA Models for Time Series Data}{126}{section.12.1}}
-\newlabel{ARIMA}{{12.1}{126}{{\tt ARIMA} : ARIMA Models for Time Series Data\relax }{section.12.1}{}}
-\citation{Enders04}
-\citation{BroDav91}
-\citation{Enders04}
-\citation{BroDav91}
-\citation{VenRip02}
-\@setckpt{models/arima}{
-\setcounter{page}{132}
-\setcounter{equation}{0}
-\setcounter{enumi}{3}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{1}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{219}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{1}
-\setcounter{lsubsubsection}{1}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{1}
-}
diff --git a/inst/doc/models/blogit.aux b/inst/doc/models/blogit.aux
deleted file mode 100644
index b2c9661..0000000
--- a/inst/doc/models/blogit.aux
+++ /dev/null
@@ -1,47 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.2}{\tt  blogit}: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{132}{section.12.2}}
-\newlabel{blogit}{{12.2}{132}{{\tt blogit}: Bivariate Logistic Regression for Two Dichotomous Dependent Variables\relax }{section.12.2}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{132}{section*.143}}
-\@writefile{toc}{\contentsline {subsubsection}{Input Values}{132}{section*.144}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{132}{section*.145}}
-\newlabel{basic.bl}{{1}{132}{Examples\relax }{Item.220}{}}
-\newlabel{sto.dep.logit}{{2}{133}{Examples\relax }{Item.221}{}}
-\newlabel{pdep.l}{{3}{134}{Examples\relax }{Item.222}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{134}{section*.146}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{135}{section*.147}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{136}{section*.148}}
-\citation{YeeHas03}
-\citation{Martin92}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{137}{section*.149}}
-\@setckpt{models/blogit}{
-\setcounter{page}{138}
-\setcounter{equation}{0}
-\setcounter{enumi}{3}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{2}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{222}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/bprobit.aux b/inst/doc/models/bprobit.aux
deleted file mode 100644
index 1cc7292..0000000
--- a/inst/doc/models/bprobit.aux
+++ /dev/null
@@ -1,47 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.3}{\tt  bprobit}: Bivariate Probit Regression for Two Dichotomous Dependent Variables}{138}{section.12.3}}
-\newlabel{bprobit}{{12.3}{138}{{\tt bprobit}: Bivariate Probit Regression for Two Dichotomous Dependent Variables\relax }{section.12.3}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{138}{section*.150}}
-\@writefile{toc}{\contentsline {subsubsection}{Input Values}{138}{section*.151}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{139}{section*.152}}
-\newlabel{basic.bp}{{1}{139}{Examples\relax }{Item.223}{}}
-\newlabel{sto.dep.probit}{{2}{139}{Examples\relax }{Item.224}{}}
-\newlabel{pdep.p}{{3}{140}{Examples\relax }{Item.225}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{140}{section*.153}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{141}{section*.154}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{142}{section*.155}}
-\citation{YeeHas03}
-\citation{Martin92}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{143}{section*.156}}
-\@setckpt{models/bprobit}{
-\setcounter{page}{145}
-\setcounter{equation}{0}
-\setcounter{enumi}{3}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{3}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{225}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/ei.dynamic.aux b/inst/doc/models/ei.dynamic.aux
deleted file mode 100644
index f5d6ce1..0000000
--- a/inst/doc/models/ei.dynamic.aux
+++ /dev/null
@@ -1,47 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.4}\texttt  {ei.dynamic}: Quinn's Dynamic Ecological Inference Model}{145}{section.12.4}}
-\newlabel{ei.dynamic}{{12.4}{145}{\texttt {ei.dynamic}: Quinn's Dynamic Ecological Inference Model\relax }{section.12.4}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{145}{section*.157}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{145}{section*.158}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{145}{section*.159}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{146}{section*.160}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{147}{section*.161}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{148}{section*.162}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{149}{section*.163}}
-\citation{Qui04}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{150}{section*.164}}
-\@setckpt{models/ei.dynamic}{
-\setcounter{page}{151}
-\setcounter{equation}{0}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{4}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{226}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/ei.hier.aux b/inst/doc/models/ei.hier.aux
deleted file mode 100644
index effe897..0000000
--- a/inst/doc/models/ei.hier.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.5}\texttt  {ei.hier}: Hierarchical Ecological Inference Model for $2 \times 2$ Tables}{151}{section.12.5}}
-\newlabel{ei.hier}{{12.5}{151}{\texttt {ei.hier}: Hierarchical Ecological Inference Model for $2 \times 2$ Tables\relax }{section.12.5}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{151}{section*.165}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{151}{section*.166}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{151}{section*.167}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{152}{section*.168}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{153}{section*.169}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{154}{section*.170}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{155}{section*.171}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{156}{section*.172}}
-\@setckpt{models/ei.hier}{
-\setcounter{page}{157}
-\setcounter{equation}{0}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{5}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{227}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/eiRxC.aux b/inst/doc/models/eiRxC.aux
deleted file mode 100644
index a0b9196..0000000
--- a/inst/doc/models/eiRxC.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.6}\texttt  {ei.RxC}: Hierarchical Multinomial-Dirichlet Ecological Inference Model for $R \times C$ Tables}{157}{section.12.6}}
-\newlabel{eiRxC}{{12.6}{157}{\texttt {ei.RxC}: Hierarchical Multinomial-Dirichlet Ecological Inference Model for $R \times C$ Tables\relax }{section.12.6}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{157}{section*.173}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{157}{section*.174}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{157}{section*.175}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{159}{section*.176}}
-\citation{RosJiaKin01}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{160}{section*.177}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{160}{section*.178}}
-\@setckpt{models/eiRxC}{
-\setcounter{page}{161}
-\setcounter{equation}{0}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{6}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{229}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/exp.aux b/inst/doc/models/exp.aux
deleted file mode 100644
index b90c2ca..0000000
--- a/inst/doc/models/exp.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\citation{Huber81}
-\citation{White80}
-\@writefile{toc}{\contentsline {section}{\numberline {12.7}{\tt  exp}: Exponential Regression for Duration Dependent Variables}{161}{section.12.7}}
-\newlabel{exp}{{12.7}{161}{{\tt exp}: Exponential Regression for Duration Dependent Variables\relax }{section.12.7}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{161}{section*.179}}
-\@writefile{toc}{\contentsline {subsubsection}{Input Values}{161}{section*.180}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{162}{section*.181}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{162}{section*.182}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{163}{section*.183}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{164}{section*.184}}
-\citation{VenRip02}
-\citation{KinAltBur90}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{165}{section*.185}}
-\@setckpt{models/exp}{
-\setcounter{page}{166}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{7}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{229}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/factor.bayes.aux b/inst/doc/models/factor.bayes.aux
deleted file mode 100644
index 9e85a1c..0000000
--- a/inst/doc/models/factor.bayes.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.8}\texttt  {factor.bayes}: Bayesian Factor Analysis}{166}{section.12.8}}
-\newlabel{factor.bayes}{{12.8}{166}{\texttt {factor.bayes}: Bayesian Factor Analysis\relax }{section.12.8}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{166}{section*.186}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{166}{section*.187}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{166}{section*.188}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{168}{section*.189}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{168}{section*.190}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{169}{section*.191}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{170}{section*.192}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{170}{section*.193}}
-\@setckpt{models/factor.bayes}{
-\setcounter{page}{171}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{8}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{231}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/factor.mix.aux b/inst/doc/models/factor.mix.aux
deleted file mode 100644
index 9ea8545..0000000
--- a/inst/doc/models/factor.mix.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.9}\texttt  {factor.mix}: Mixed Data Factor Analysis}{171}{section.12.9}}
-\newlabel{factor.mix}{{12.9}{171}{\texttt {factor.mix}: Mixed Data Factor Analysis\relax }{section.12.9}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{171}{section*.194}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{171}{section*.195}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{171}{section*.196}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{173}{section*.197}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{174}{section*.198}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{174}{section*.199}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{175}{section*.200}}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{176}{section*.201}}
-\@setckpt{models/factor.mix}{
-\setcounter{page}{177}
-\setcounter{equation}{1}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{9}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{232}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/factor.ord.aux b/inst/doc/models/factor.ord.aux
deleted file mode 100644
index db0fda2..0000000
--- a/inst/doc/models/factor.ord.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.10}\texttt  {factor.ord}: Ordinal Data Factor Analysis}{177}{section.12.10}}
-\newlabel{factor.ord}{{12.10}{177}{\texttt {factor.ord}: Ordinal Data Factor Analysis\relax }{section.12.10}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{177}{section*.202}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{177}{section*.203}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{177}{section*.204}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{179}{section*.205}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{179}{section*.206}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{180}{section*.207}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{181}{section*.208}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{181}{section*.209}}
-\@setckpt{models/factor.ord}{
-\setcounter{page}{182}
-\setcounter{equation}{1}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{10}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{233}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/gamma.aux b/inst/doc/models/gamma.aux
deleted file mode 100644
index f5988dd..0000000
--- a/inst/doc/models/gamma.aux
+++ /dev/null
@@ -1,50 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.11}{\tt  gamma}: Gamma Regression for Continuous, Positive Dependent Variables}{182}{section.12.11}}
-\newlabel{gamma}{{12.11}{182}{{\tt gamma}: Gamma Regression for Continuous, Positive Dependent Variables\relax }{section.12.11}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{182}{section*.210}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{182}{section*.211}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{182}{section*.212}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{183}{section*.213}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{183}{section*.214}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{184}{section*.215}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{185}{section*.216}}
-\citation{KinAltBur90}
-\@setckpt{models/gamma}{
-\setcounter{page}{187}
-\setcounter{equation}{1}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{11}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{233}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/irt1d.aux b/inst/doc/models/irt1d.aux
deleted file mode 100644
index f966499..0000000
--- a/inst/doc/models/irt1d.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.12}\texttt  {irt1d}: One Dimensional Item Response Model}{187}{section.12.12}}
-\newlabel{irt1d}{{12.12}{187}{\texttt {irt1d}: One Dimensional Item Response Model\relax }{section.12.12}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{187}{section*.217}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{187}{section*.218}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional arguments}{187}{section*.219}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{189}{section*.220}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{189}{section*.221}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{190}{section*.222}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{191}{section*.223}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{191}{section*.224}}
-\@setckpt{models/irt1d}{
-\setcounter{page}{192}
-\setcounter{equation}{1}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{12}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{234}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/irtkd.aux b/inst/doc/models/irtkd.aux
deleted file mode 100644
index adb51d4..0000000
--- a/inst/doc/models/irtkd.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.13}\texttt  {irtkd}: $k$-Dimensional Item Response Theory Model}{192}{section.12.13}}
-\newlabel{irtkd}{{12.13}{192}{\texttt {irtkd}: $k$-Dimensional Item Response Theory Model\relax }{section.12.13}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{192}{section*.225}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{192}{section*.226}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional arguments}{192}{section*.227}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{194}{section*.228}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{194}{section*.229}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{195}{section*.230}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{196}{section*.231}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{196}{section*.232}}
-\@setckpt{models/irtkd}{
-\setcounter{page}{197}
-\setcounter{equation}{1}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{13}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{235}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/logit.aux b/inst/doc/models/logit.aux
deleted file mode 100644
index 0f27423..0000000
--- a/inst/doc/models/logit.aux
+++ /dev/null
@@ -1,52 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.14}{\tt  logit}: Logistic Regression for Dichotomous Dependent Variables}{197}{section.12.14}}
-\newlabel{logit}{{12.14}{197}{{\tt logit}: Logistic Regression for Dichotomous Dependent Variables\relax }{section.12.14}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{197}{section*.233}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{197}{section*.234}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{197}{section*.235}}
-\citation{KinZen02}
-\newlabel{ROC}{{3}{198}{Examples\relax }{Item.238}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{199}{section*.236}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{199}{section*.237}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{200}{section*.238}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Zeileis04}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{201}{section*.239}}
-\@setckpt{models/logit}{
-\setcounter{page}{202}
-\setcounter{equation}{1}
-\setcounter{enumi}{3}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{14}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{238}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/logit.bayes.aux b/inst/doc/models/logit.bayes.aux
deleted file mode 100644
index fb4fe2a..0000000
--- a/inst/doc/models/logit.bayes.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.15}\texttt  {logit.bayes}: Bayesian Logistic Regression}{202}{section.12.15}}
-\newlabel{logit.bayes}{{12.15}{202}{\texttt {logit.bayes}: Bayesian Logistic Regression\relax }{section.12.15}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{202}{section*.240}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{202}{section*.241}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{203}{section*.242}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{203}{section*.243}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{204}{section*.244}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{205}{section*.245}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{205}{section*.246}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{206}{section*.247}}
-\@setckpt{models/logit.bayes}{
-\setcounter{page}{207}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{15}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{240}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/lognormal.aux b/inst/doc/models/lognormal.aux
deleted file mode 100644
index 5c9f633..0000000
--- a/inst/doc/models/lognormal.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\citation{Huber81}
-\citation{White80}
-\@writefile{toc}{\contentsline {section}{\numberline {12.16}{\tt  lognorm}: Log-Normal Regression for Duration Dependent Variables}{207}{section.12.16}}
-\newlabel{lognorm}{{12.16}{207}{{\tt lognorm}: Log-Normal Regression for Duration Dependent Variables\relax }{section.12.16}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{207}{section*.248}}
-\@writefile{toc}{\contentsline {subsubsection}{Input Values}{207}{section*.249}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{208}{section*.250}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{208}{section*.251}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{209}{section*.252}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{210}{section*.253}}
-\citation{VenRip02}
-\citation{KinAltBur90}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{211}{section*.254}}
-\@setckpt{models/lognormal}{
-\setcounter{page}{212}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{16}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{240}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/ls.aux b/inst/doc/models/ls.aux
deleted file mode 100644
index 19bddb4..0000000
--- a/inst/doc/models/ls.aux
+++ /dev/null
@@ -1,51 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Huber81}
-\citation{White80}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.17}{\tt  ls}: Least Squares Regression for Continuous Dependent Variables}{212}{section.12.17}}
-\newlabel{ls}{{12.17}{212}{{\tt ls}: Least Squares Regression for Continuous Dependent Variables\relax }{section.12.17}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{212}{section*.255}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{212}{section*.256}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{212}{section*.257}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{214}{section*.258}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{214}{section*.259}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{214}{section*.260}}
-\citation{VenRip02}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{215}{section*.261}}
-\citation{KinTomWit00}
-\@setckpt{models/ls}{
-\setcounter{page}{217}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{17}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{242}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/mlogit.aux b/inst/doc/models/mlogit.aux
deleted file mode 100644
index f3336cd..0000000
--- a/inst/doc/models/mlogit.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.18}{\tt  mlogit}: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}{217}{section.12.18}}
-\newlabel{mlogit}{{12.18}{217}{{\tt mlogit}: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values\relax }{section.12.18}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{217}{section*.262}}
-\@writefile{toc}{\contentsline {subsubsection}{Input Values}{217}{section*.263}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{217}{section*.264}}
-\newlabel{ternary}{{12.18}{217}{Examples\relax }{section*.264}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{219}{section*.265}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{219}{section*.266}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{220}{section*.267}}
-\citation{YeeHas03}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{Further Information}{221}{section*.268}}
-\@setckpt{models/mlogit}{
-\setcounter{page}{222}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{18}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{244}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/mlogit.bayes.aux b/inst/doc/models/mlogit.bayes.aux
deleted file mode 100644
index ab0cec0..0000000
--- a/inst/doc/models/mlogit.bayes.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.19}\texttt  {mlogit.bayes}: Bayesian Multinomial Logistic Regression}{222}{section.12.19}}
-\newlabel{mlogit.bayes}{{12.19}{222}{\texttt {mlogit.bayes}: Bayesian Multinomial Logistic Regression\relax }{section.12.19}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{222}{section*.269}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{222}{section*.270}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{223}{section*.271}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{224}{section*.272}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{225}{section*.273}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{225}{section*.274}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{226}{section*.275}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{227}{section*.276}}
-\@setckpt{models/mlogit.bayes}{
-\setcounter{page}{228}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{19}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{246}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/negbin.aux b/inst/doc/models/negbin.aux
deleted file mode 100644
index f76e84b..0000000
--- a/inst/doc/models/negbin.aux
+++ /dev/null
@@ -1,50 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.20}{\tt  negbin}: Negative Binomial Regression for Event Count Dependent Variables}{228}{section.12.20}}
-\newlabel{negbin}{{12.20}{228}{{\tt negbin}: Negative Binomial Regression for Event Count Dependent Variables\relax }{section.12.20}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{228}{section*.277}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{228}{section*.278}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{228}{section*.279}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{229}{section*.280}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{230}{section*.281}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{230}{section*.282}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Zeileis04}
-\citation{Martin92}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{232}{section*.283}}
-\@setckpt{models/negbin}{
-\setcounter{page}{233}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{20}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{246}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/netlogit.aux b/inst/doc/models/netlogit.aux
deleted file mode 100644
index b572641..0000000
--- a/inst/doc/models/netlogit.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.22}{\tt  netlogit}: Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables}{236}{section.12.22}}
-\newlabel{netlogit}{{12.22}{236}{{\tt netlogit}: Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables\relax }{section.12.22}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{236}{section*.290}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{236}{section*.291}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{237}{section*.292}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{237}{section*.293}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{238}{section*.294}}
-\citation{ButCar01}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{239}{section*.295}}
-\@setckpt{models/netlogit}{
-\setcounter{page}{240}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{22}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{249}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/netls.aux b/inst/doc/models/netls.aux
deleted file mode 100644
index 68cc1c2..0000000
--- a/inst/doc/models/netls.aux
+++ /dev/null
@@ -1,42 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.21}{\tt  netls}: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}{233}{section.12.21}}
-\newlabel{netls}{{12.21}{233}{{\tt netls}: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables\relax }{section.12.21}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{233}{section*.284}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{233}{section*.285}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{234}{section*.286}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{234}{section*.287}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{234}{section*.288}}
-\citation{ButCar01}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{235}{section*.289}}
-\@setckpt{models/netls}{
-\setcounter{page}{236}
-\setcounter{equation}{1}
-\setcounter{enumi}{1}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{21}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{247}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/normal.aux b/inst/doc/models/normal.aux
deleted file mode 100644
index 5ab0798..0000000
--- a/inst/doc/models/normal.aux
+++ /dev/null
@@ -1,50 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.23}{\tt  normal}: Normal Regression for Continuous Dependent Variables}{240}{section.12.23}}
-\newlabel{normal}{{12.23}{240}{{\tt normal}: Normal Regression for Continuous Dependent Variables\relax }{section.12.23}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{240}{section*.296}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{240}{section*.297}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{240}{section*.298}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{242}{section*.299}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{242}{section*.300}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{243}{section*.301}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Zeileis04}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{244}{section*.302}}
-\@setckpt{models/normal}{
-\setcounter{page}{245}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{23}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{251}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/normal.bayes.aux b/inst/doc/models/normal.bayes.aux
deleted file mode 100644
index ca6d54e..0000000
--- a/inst/doc/models/normal.bayes.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.24}\texttt  {normal.bayes}: Bayesian Normal Linear Regression}{245}{section.12.24}}
-\newlabel{normal.bayes}{{12.24}{245}{\texttt {normal.bayes}: Bayesian Normal Linear Regression\relax }{section.12.24}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{245}{section*.303}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{245}{section*.304}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{246}{section*.305}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{246}{section*.306}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{247}{section*.307}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{248}{section*.308}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{249}{section*.309}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{249}{section*.310}}
-\@setckpt{models/normal.bayes}{
-\setcounter{page}{250}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{24}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{253}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/ologit.aux b/inst/doc/models/ologit.aux
deleted file mode 100644
index f922333..0000000
--- a/inst/doc/models/ologit.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.25}{\tt  ologit}: Ordinal Logistic Regression for Ordered Categorical Dependent Variables}{250}{section.12.25}}
-\newlabel{ologit}{{12.25}{250}{{\tt ologit}: Ordinal Logistic Regression for Ordered Categorical Dependent Variables\relax }{section.12.25}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{250}{section*.311}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{250}{section*.312}}
-\newlabel{ord.fact}{{1}{250}{Example\relax }{Item.254}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{251}{section*.313}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{252}{section*.314}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{252}{section*.315}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Martin92}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{253}{section*.316}}
-\@setckpt{models/ologit}{
-\setcounter{page}{255}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{25}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{255}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/oprobit.aux b/inst/doc/models/oprobit.aux
deleted file mode 100644
index c06a136..0000000
--- a/inst/doc/models/oprobit.aux
+++ /dev/null
@@ -1,44 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.26}{\tt  oprobit}: Ordinal Probit Regression for Ordered Categorical Dependent Variables}{255}{section.12.26}}
-\newlabel{oprobit}{{12.26}{255}{{\tt oprobit}: Ordinal Probit Regression for Ordered Categorical Dependent Variables\relax }{section.12.26}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{255}{section*.317}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{255}{section*.318}}
-\newlabel{ord.fact.p}{{1}{255}{Example\relax }{Item.256}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{256}{section*.319}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{257}{section*.320}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{258}{section*.321}}
-\citation{YeeHas03}
-\citation{Martin92}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{259}{section*.322}}
-\@setckpt{models/oprobit}{
-\setcounter{page}{260}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{26}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{257}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/oprobit.bayes.aux b/inst/doc/models/oprobit.bayes.aux
deleted file mode 100644
index 559e69a..0000000
--- a/inst/doc/models/oprobit.bayes.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.27}\texttt  {oprobit.bayes}: Bayesian Ordered Probit Regression}{260}{section.12.27}}
-\newlabel{oprobit.bayes}{{12.27}{260}{\texttt {oprobit.bayes}: Bayesian Ordered Probit Regression\relax }{section.12.27}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{260}{section*.323}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{260}{section*.324}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{261}{section*.325}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{261}{section*.326}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{262}{section*.327}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{263}{section*.328}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{264}{section*.329}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{265}{section*.330}}
-\@setckpt{models/oprobit.bayes}{
-\setcounter{page}{266}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{27}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{259}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/poisson.aux b/inst/doc/models/poisson.aux
deleted file mode 100644
index 833525d..0000000
--- a/inst/doc/models/poisson.aux
+++ /dev/null
@@ -1,50 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.28}{\tt  poisson}: Poisson Regression for Event Count Dependent Variables}{266}{section.12.28}}
-\newlabel{poisson}{{12.28}{266}{{\tt poisson}: Poisson Regression for Event Count Dependent Variables\relax }{section.12.28}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{266}{section*.331}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{266}{section*.332}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{266}{section*.333}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{267}{section*.334}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{267}{section*.335}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{268}{section*.336}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Zeileis04}
-\citation{Martin92}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{269}{section*.337}}
-\@setckpt{models/poisson}{
-\setcounter{page}{270}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{28}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{259}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/poisson.bayes.aux b/inst/doc/models/poisson.bayes.aux
deleted file mode 100644
index 9be396d..0000000
--- a/inst/doc/models/poisson.bayes.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.29}\texttt  {poisson.bayes}: Bayesian Poisson Regression}{270}{section.12.29}}
-\newlabel{poisson.bayes}{{12.29}{270}{\texttt {poisson.bayes}: Bayesian Poisson Regression\relax }{section.12.29}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{270}{section*.338}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{270}{section*.339}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{271}{section*.340}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{271}{section*.341}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{272}{section*.342}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{273}{section*.343}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{273}{section*.344}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{274}{section*.345}}
-\@setckpt{models/poisson.bayes}{
-\setcounter{page}{275}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{29}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{261}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/probit.aux b/inst/doc/models/probit.aux
deleted file mode 100644
index 8085a0f..0000000
--- a/inst/doc/models/probit.aux
+++ /dev/null
@@ -1,50 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\citation{Zeileis04}
-\@writefile{toc}{\contentsline {section}{\numberline {12.30}{\tt  probit}: Probit Regression for Dichotomous Dependent Variables}{275}{section.12.30}}
-\newlabel{probit}{{12.30}{275}{{\tt probit}: Probit Regression for Dichotomous Dependent Variables\relax }{section.12.30}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{275}{section*.346}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{275}{section*.347}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{275}{section*.348}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{276}{section*.349}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{276}{section*.350}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{277}{section*.351}}
-\citation{VenRip02}
-\citation{McCNel89}
-\citation{Zeileis04}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{278}{section*.352}}
-\@setckpt{models/probit}{
-\setcounter{page}{280}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{30}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{261}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/probit.bayes.aux b/inst/doc/models/probit.bayes.aux
deleted file mode 100644
index 2873874..0000000
--- a/inst/doc/models/probit.bayes.aux
+++ /dev/null
@@ -1,45 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.31}\texttt  {probit.bayes}: Bayesian Probit Regression}{280}{section.12.31}}
-\newlabel{probit.bayes}{{12.31}{280}{\texttt {probit.bayes}: Bayesian Probit Regression\relax }{section.12.31}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{280}{section*.353}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{280}{section*.354}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{281}{section*.355}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{281}{section*.356}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{282}{section*.357}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{283}{section*.358}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{283}{section*.359}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{284}{section*.360}}
-\@setckpt{models/probit.bayes}{
-\setcounter{page}{285}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{31}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{263}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/relogit.aux b/inst/doc/models/relogit.aux
deleted file mode 100644
index 5cf9290..0000000
--- a/inst/doc/models/relogit.aux
+++ /dev/null
@@ -1,52 +0,0 @@
-\relax 
-\citation{Zeileis04}
-\citation{Andrews91}
-\citation{LumHea99}
-\@writefile{toc}{\contentsline {section}{\numberline {12.32}{\tt  relogit}: Rare Events Logistic Regression for Dichotomous Dependent Variables}{285}{section.12.32}}
-\newlabel{relogit}{{12.32}{285}{{\tt relogit}: Rare Events Logistic Regression for Dichotomous Dependent Variables\relax }{section.12.32}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{285}{section*.361}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{285}{section*.362}}
-\citation{Zeileis04}
-\citation{KinZen01b}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{288}{section*.366}}
-\citation{KinZen02b}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{289}{section*.367}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{290}{section*.368}}
-\@writefile{toc}{\contentsline {subsubsection}{Differences with Stata Version}{291}{section*.369}}
-\citation{KinZen01b}
-\citation{KinZen01}
-\citation{KinZen02b}
-\citation{KinZen01b}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{292}{section*.370}}
-\@setckpt{models/relogit}{
-\setcounter{page}{293}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{32}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{265}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{3}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/tobit.aux b/inst/doc/models/tobit.aux
deleted file mode 100644
index 6795dc4..0000000
--- a/inst/doc/models/tobit.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\citation{Huber81}
-\citation{White80}
-\@writefile{toc}{\contentsline {section}{\numberline {12.33}\texttt  {tobit}: Linear Regression for a Left-Censored Dependent Variable}{293}{section.12.33}}
-\newlabel{tobit}{{12.33}{293}{\texttt {tobit}: Linear Regression for a Left-Censored Dependent Variable\relax }{section.12.33}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{293}{section*.371}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{293}{section*.372}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{294}{section*.373}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{294}{section*.374}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{295}{section*.375}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{295}{section*.376}}
-\citation{VenRip02}
-\citation{KinAltBur90}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{296}{section*.377}}
-\@setckpt{models/tobit}{
-\setcounter{page}{297}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{33}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{267}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/tobit.bayes.aux b/inst/doc/models/tobit.bayes.aux
deleted file mode 100644
index 3cf7ff7..0000000
--- a/inst/doc/models/tobit.bayes.aux
+++ /dev/null
@@ -1,47 +0,0 @@
-\relax 
-\@writefile{toc}{\contentsline {section}{\numberline {12.34}\texttt  {tobit.bayes}: Bayesian Linear Regression for a Censored Dependent Variable}{297}{section.12.34}}
-\newlabel{tobit.bayes}{{12.34}{297}{\texttt {tobit.bayes}: Bayesian Linear Regression for a Censored Dependent Variable\relax }{section.12.34}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{297}{section*.378}}
-\@writefile{toc}{\contentsline {subsubsection}{Inputs}{297}{section*.379}}
-\@writefile{toc}{\contentsline {subsubsection}{Additional Inputs}{297}{section*.380}}
-\@writefile{toc}{\contentsline {subsubsection}{Convergence}{298}{section*.381}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{299}{section*.382}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{300}{section*.383}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{300}{section*.384}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{301}{section*.385}}
-\citation{MarQui05}
-\citation{PluBesCowVin05}
-\citation{MarQui05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{302}{section*.386}}
-\@setckpt{models/tobit.bayes}{
-\setcounter{page}{303}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{34}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{269}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/models/weibull.aux b/inst/doc/models/weibull.aux
deleted file mode 100644
index bbea5b4..0000000
--- a/inst/doc/models/weibull.aux
+++ /dev/null
@@ -1,46 +0,0 @@
-\relax 
-\citation{Huber81}
-\citation{White80}
-\@writefile{toc}{\contentsline {section}{\numberline {12.35}{\tt  weibull}: Weibull Regression for Duration Dependent Variables}{303}{section.12.35}}
-\newlabel{weibull}{{12.35}{303}{{\tt weibull}: Weibull Regression for Duration Dependent Variables\relax }{section.12.35}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{303}{section*.387}}
-\@writefile{toc}{\contentsline {subsubsection}{Input Values}{303}{section*.388}}
-\@writefile{toc}{\contentsline {subsubsection}{Example}{304}{section*.389}}
-\@writefile{toc}{\contentsline {subsubsection}{Model}{304}{section*.390}}
-\@writefile{toc}{\contentsline {subsubsection}{Quantities of Interest}{305}{section*.391}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{306}{section*.392}}
-\citation{VenRip02}
-\citation{KinAltBur90}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{307}{section*.393}}
-\@setckpt{models/weibull}{
-\setcounter{page}{308}
-\setcounter{equation}{1}
-\setcounter{enumi}{2}
-\setcounter{enumii}{3}
-\setcounter{enumiii}{2}
-\setcounter{enumiv}{0}
-\setcounter{footnote}{0}
-\setcounter{mpfootnote}{0}
-\setcounter{part}{3}
-\setcounter{chapter}{12}
-\setcounter{section}{35}
-\setcounter{subsection}{0}
-\setcounter{subsubsection}{0}
-\setcounter{paragraph}{0}
-\setcounter{subparagraph}{0}
-\setcounter{figure}{0}
-\setcounter{table}{0}
-\setcounter{NAT at ctr}{0}
-\setcounter{parentequation}{0}
-\setcounter{Item}{269}
-\setcounter{Hfootnote}{10}
-\setcounter{lpart}{0}
-\setcounter{lchapter}{0}
-\setcounter{lsection}{0}
-\setcounter{lsubsection}{0}
-\setcounter{lsubsubsection}{0}
-\setcounter{lparagraph}{0}
-\setcounter{lsubparagraph}{0}
-\setcounter{lsubsubparagraph}{0}
-\setcounter{section at level}{3}
-}
diff --git a/inst/doc/negbin.Rnw b/inst/doc/negbin.Rnw
new file mode 100644
index 0000000..5fcb8f1
--- /dev/null
+++ b/inst/doc/negbin.Rnw
@@ -0,0 +1,265 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/negbin}
+\include{zinput}
+%\VignetteIndexEntry{Negative Binomial Regression for Event Count Dependent Variables}
+%\VignetteDepends{Zelig, MASS}
+%\VignetteKeyWords{model, binomial,negative, regression, count}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+
+\section{{\tt negbin}: Negative Binomial Regression for Event
+Count Dependent Variables}\label{negbin}
+
+Use the negative binomial regression if you have a count of events for
+each observation of your dependent variable.  The negative binomial
+model is frequently used to estimate over-dispersed event count
+models.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "negbin", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for negative binomial regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Example}
+
+Load sample data:  
+<<Example.data>>=
+ data(sanction)
+@ 
+Estimate the model:  
+<<Example.zelig>>=
+ z.out <- zelig(num ~ target + coop, model = "negbin", data = sanction)
+@ 
+<<Example.summary>>= 
+summary(z.out)
+@ 
+Set values for the explanatory variables to their default mean values:  
+<<Example.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulate fitted values:  
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.out)
+@
+<<Example.summary.sim>>= 
+summary(s.out)
+@ 
+
+\subsubsection{Model}
+Let $Y_i$ be the number of independent events that occur during a
+fixed time period. This variable can take any non-negative integer value.
+
+\begin{itemize}
+\item The negative binomial distribution is derived by letting the
+  mean of the Poisson distribution vary according to a fixed
+  parameter $\zeta$ given by the Gamma distribution. The
+  \emph{stochastic component} is given by
+   \begin{eqnarray*}
+     Y_i \mid \zeta_i & \sim & \textrm{Poisson}(\zeta_i \mu_i),\\
+     \zeta_i & \sim & \frac{1}{\theta}\textrm{Gamma}(\theta).
+   \end{eqnarray*}
+   The marginal distribution of $Y_i$ is then the negative binomial
+   with mean $\mu_i$ and variance $\mu_i + \mu_i^2/\theta$:
+   \begin{eqnarray*}
+   Y_i & \sim & \textrm{NegBin}(\mu_i, \theta), \\
+       & = & \frac{\Gamma (\theta + y_i)}{y! \, \Gamma(\theta)} 
+             \frac{\mu_i^{y_i} \, \theta^{\theta}}{(\mu_i + \theta)^{\theta + y_i}},
+   \end{eqnarray*}
+   where $\theta$ is the systematic parameter of the Gamma
+   distribution modeling $\zeta_i$.  
+
+ \item The \emph{systematic component} is given by
+   \begin{equation*}
+     \mu_i = \exp(x_i \beta)
+   \end{equation*}
+   where $x_i$ is the vector of $k$ explanatory variables and $\beta$ is
+   the vector of coefficients.
+ \end{itemize}
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) are simulations of the mean
+  of the stochastic component.  Thus, $$E(Y) = \mu_i = \exp(x_i
+  \beta),$$ given simulations of $\beta$.  
+  
+\item The predicted value ({\tt qi\$pr}) drawn from the distribution
+  defined by the set of parameters $(\mu_i, \theta)$.
+
+\item The first difference ({\tt qi\$fd}) is
+\begin{equation*}
+\textrm{FD} \; = \; E(Y | x_1) - E(Y \mid x)
+\end{equation*}
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "negbin", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt theta}: the maximum likelihood estimate for the
+     stochastic parameter $\theta$.  
+   \item {\tt SE.theta}: the standard error for {\tt theta}.  
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: a vector of the fitted values for the systemic
+     component $\lambda$.  
+   \item {\tt linear.predictors}: a vector of $x_{i} \beta$.  
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values given the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by $(\mu_i, \theta)$.  
+   \item {\tt qi\$fd}: the simulated first differences in the
+     simulated expected values given the specified values of {\tt x}
+     and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The negative binomial model is part of the MASS library by William N.
+Venables and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to {\tt help(glm.nb)} in
+the MASS library and \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/negbin.pdf b/inst/doc/negbin.pdf
new file mode 100644
index 0000000..d43be6e
Binary files /dev/null and b/inst/doc/negbin.pdf differ
diff --git a/inst/doc/negbin.tex b/inst/doc/negbin.tex
new file mode 100644
index 0000000..4af95d8
--- /dev/null
+++ b/inst/doc/negbin.tex
@@ -0,0 +1,264 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Negative Binomial Regression for Event Count Dependent Variables}
+%\VignetteDepends{Zelig, MASS}
+%\VignetteKeyWords{model, binomial,negative, regression, count}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+
+\section{{\tt negbin}: Negative Binomial Regression for Event
+Count Dependent Variables}\label{negbin}
+
+Use the negative binomial regression if you have a count of events for
+each observation of your dependent variable.  The negative binomial
+model is frequently used to estimate over-dispersed event count
+models.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "negbin", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for negative binomial regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Example}
+
+Load sample data:  
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+Estimate the model:  
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(num ~ target + coop, model = "negbin", data = sanction)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set values for the explanatory variables to their default mean values:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulate fitted values:  
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+
+\subsubsection{Model}
+Let $Y_i$ be the number of independent events that occur during a
+fixed time period. This variable can take any non-negative integer value.
+
+\begin{itemize}
+\item The negative binomial distribution is derived by letting the
+  mean of the Poisson distribution vary according to a fixed
+  parameter $\zeta$ given by the Gamma distribution. The
+  \emph{stochastic component} is given by
+   \begin{eqnarray*}
+     Y_i \mid \zeta_i & \sim & \textrm{Poisson}(\zeta_i \mu_i),\\
+     \zeta_i & \sim & \frac{1}{\theta}\textrm{Gamma}(\theta).
+   \end{eqnarray*}
+   The marginal distribution of $Y_i$ is then the negative binomial
+   with mean $\mu_i$ and variance $\mu_i + \mu_i^2/\theta$:
+   \begin{eqnarray*}
+   Y_i & \sim & \textrm{NegBin}(\mu_i, \theta), \\
+       & = & \frac{\Gamma (\theta + y_i)}{y! \, \Gamma(\theta)} 
+             \frac{\mu_i^{y_i} \, \theta^{\theta}}{(\mu_i + \theta)^{\theta + y_i}},
+   \end{eqnarray*}
+   where $\theta$ is the systematic parameter of the Gamma
+   distribution modeling $\zeta_i$.  
+
+ \item The \emph{systematic component} is given by
+   \begin{equation*}
+     \mu_i = \exp(x_i \beta)
+   \end{equation*}
+   where $x_i$ is the vector of $k$ explanatory variables and $\beta$ is
+   the vector of coefficients.
+ \end{itemize}
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) are simulations of the mean
+  of the stochastic component.  Thus, $$E(Y) = \mu_i = \exp(x_i
+  \beta),$$ given simulations of $\beta$.  
+  
+\item The predicted value ({\tt qi\$pr}) drawn from the distribution
+  defined by the set of parameters $(\mu_i, \theta)$.
+
+\item The first difference ({\tt qi\$fd}) is
+\begin{equation*}
+\textrm{FD} \; = \; E(Y | x_1) - E(Y \mid x)
+\end{equation*}
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "negbin", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt theta}: the maximum likelihood estimate for the
+     stochastic parameter $\theta$.  
+   \item {\tt SE.theta}: the standard error for {\tt theta}.  
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: a vector of the fitted values for the systemic
+     component $\lambda$.  
+   \item {\tt linear.predictors}: a vector of $x_{i} \beta$.  
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values given the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by $(\mu_i, \theta)$.  
+   \item {\tt qi\$fd}: the simulated first differences in the
+     simulated expected values given the specified values of {\tt x}
+     and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The negative binomial model is part of the MASS library by William N.
+Venables and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to {\tt help(glm.nb)} in
+the MASS library and \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/netlogit.Rnw b/inst/doc/netlogit.Rnw
new file mode 100644
index 0000000..5373bfe
--- /dev/null
+++ b/inst/doc/netlogit.Rnw
@@ -0,0 +1,199 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/netlogit}
+\include{zinput}
+%\VignetteIndexEntry{Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, network,logistic, regression, dichotomous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt netlogit}: Network Logistic Regression for
+Dichotomous Proximity Matrix Dependent Variables}\label{netlogit} 
+
+Use network logistic squares regression analysis for a dependent
+variable that is a binary-valued proximity matrix (a.k.a.\
+sociomatrices, adjacency matrices, or matrix representations of
+directed graphs).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, model = "netlogit", data = mydata) 
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item Basic Example
+
+Load the sample data and format it for social network analysis:
+<<BasicExample.data>>= 
+data(friendship)
+@ 
+Estimate model:
+<<BasicExample.zelig>>= 
+ z.out <- zelig(friends ~ advice + prestige + perpower, 
+                 model = "netlogit", data = friendship)
+ summary(z.out)
+@ 
+Setting values for the explanatory variables to their default values:
+<<BasicExample.setx>>= 
+x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the sampling distribution.
+<<BasicExample.sim>>= 
+ s.out <- sim(z.out, x = x.out) 
+ summary(s.out)
+@ 
+\begin{center}
+<<label=BasicExamplePlot, fig=true, echo=true>>= 
+ plot(s.out)
+@  
+\end{center}
+
+\item Simulating First Differences
+
+Estimating the risk difference (and risk ratio) between low personal
+power (25th percentile) and high education (75th percentile) while all
+the other variables are held at their default values.
+
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out, perpower = quantile(friendship$perpower, prob = 0.75))    
+ x.low  <- setx(z.out, educate = quantile(friendship$perpower, prob = 0.25))
+@ 
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out, x = x.high, x1 = x.low)   
+ summary(s.out2)
+@ 
+\begin{center}
+<<label=FirstDifferencesPlot,fig=true,echo=true>>=   
+ plot(s.out2)   
+@ 
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+The {\tt netlogit} model performs a logistic regression of the
+sociomatrix $\mathbf{Y}$, a $m \times m$ matrix representing network
+ties, on a set of sociomatrices $\mathbf{X}$. This network regression
+model is a directly analogue to standard logistic regression
+element-wise on the appropriately vectorized matrices. Sociomatrices
+are vectorized by creating $Y$, an $m^{2} \times 1$ vector to
+represent the sociomatrix. The vectorization which produces the $Y$
+vector from the $\mathbf{Y}$ matrix is preformed by simple
+row-concatenation of $\mathbf{Y}$. For example if $\mathbf{Y}$ is a
+$15 \times 15$ matrix, the $\mathbf{Y}_{1,1}$ element is the first
+element of $Y$, and the $\mathbf{Y}_{21}$ element is the second
+element of $Y$ and so on. Once the input matrices are vectorized,
+standard logistic regression is performed.
+
+Let $Y_{i}$ be the binary dependent variable, produced by vectorizing
+a binary sociomatrix, for observation $i$ which takes the value of
+either 0 or 1.
+\begin{itemize}
+\item The \emph{stochastic component} is given by 
+\begin{eqnarray*}
+Y_{i} & \sim \text{Bernoulli} (y_{i} | \pi_{i})\\
+& = \pi_{i}^{y_{i}} (1 - \pi_{i})^{1 - y_{i}}
+\end{eqnarray*}
+where $\pi_{i} = \text{Pr}(Y_{i} = 1)$.
+\item The \emph{systematic component} is given by:
+\begin{equation*}
+\pi_{i} = \frac{1}{1 + \exp(-x_{i}\beta)}.
+\end{equation*}
+where $x_{i}$ is the vector of $k$ covariates for observation $i$ and
+$\beta$ is the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+The quantities of interest for the network logistic regression are the
+same as those for the standard logistic regression.
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the netlogit model are
+simulations of the predicted probability of a success:   
+\begin{equation*}
+E(Y) = \pi_{i} = \frac{1}{1 + \exp(-x_{i}\beta)}.
+\end{equation*}
+given draws of $\beta$ from its sampling distribution.
+
+\item The predicted values ({\tt qi\$pr}) are draws from the Binomial
+distribution with mean equal to the simulated expected value
+$\pi_{i}$. 
+
+\item The first difference ({\tt qi\$fd}) for the logit model is defined as 
+\begin{equation*}
+FD = \text{Pr}(Y = 1 | x_{1}) - \text{Pr}(Y = 1| x)
+\end{equation*}
+\end{itemize}
+
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, you run {\tt z.out <- zelig(y ~ x, model
+="netlogit", data)}, then you may examine the available information in
+{\tt z.out} by using {\tt names(z.out)}, see the coefficients by using
+{\tt z.out\$coefficients}, and a default summary of information
+through {\tt summary(z.out)}. Other elements available through the
+{\tt \$} operator are listed below.
+\begin{itemize} 
+\item From the {\tt zelig()} output stored in {\tt z.out}, you may extract:
+\begin{itemize}
+\item {\tt coefficients}: parameter estimates for the explanatory variables.
+\item {\tt fitted.values}: the vector of fitted values for the
+explanatory variables. 
+\item {\tt residuals}: the working residuals in the final iteration of
+the IWLS fit.  
+\item {\tt linear.predictors}: the vector of $x_{i}\beta$.
+\item {\tt aic}: Akaike's Information Criterion (minus twice the
+maximized log-likelihood plus twice the number of coefficients). 
+\item {\tt bic}: the Bayesian Information Criterion (minus twice the
+maximized log-likelihood plus the number of coefficients times log
+$n$). 
+\item {\tt df.residual}: the residual degrees of freedom.
+\item {\tt df.null}: the residual degrees of freedom for the null model. 
+\item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE} 
+\end{itemize} 
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+\item {\tt mod.coefficients}: the parameter estimates with their associated standard errors, $p$-values, and $t$ statistics. 
+\item {\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+\item {\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+covariances. 
+\item {\tt ctable}: a $2 \times 2$ table of predicted vs.\ actual
+values.  Each cell tabulates whether the predicted value $\widehat{Y}
+\in \{0,1\}$ corresponds to the observed $Y \in \{0,1\}$. 
+\end{itemize}
+\item From the {\tt sim()} output stored in {\tt s.out}, you may extract:
+\begin{itemize}
+\item {\tt qi\$ev}: the simulated expected probabilities for the
+specified values of {\tt x}.
+\item {\tt qi\$pr}: the simulated predicted values for the specified values of {\tt x}.
+\item {\tt qi\$fd}: the simulated first differences in the expected
+probabilities simulated from {\tt x} and {\tt x1}.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+The network logistic regression is part of the sna package by Carter
+T. Butts.  Please cite the model as \\
+\begin{verse}
+\bibentry{ButCar01}.
+\end{verse}
+In addition, advanced users may wish to refer to {\tt help(netlogit)}.
+Sample data are fictional. Skyler J.\ Cranmer added Zelig functionality. 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/netlogit.pdf b/inst/doc/netlogit.pdf
new file mode 100644
index 0000000..4a860dc
Binary files /dev/null and b/inst/doc/netlogit.pdf differ
diff --git a/inst/doc/netlogit.tex b/inst/doc/netlogit.tex
new file mode 100644
index 0000000..ef428e2
--- /dev/null
+++ b/inst/doc/netlogit.tex
@@ -0,0 +1,206 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, network,logistic, regression, dichotomous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt netlogit}: Network Logistic Regression for
+Dichotomous Proximity Matrix Dependent Variables}\label{netlogit} 
+
+Use network logistic squares regression analysis for a dependent
+variable that is a binary-valued proximity matrix (a.k.a.\
+sociomatrices, adjacency matrices, or matrix representations of
+directed graphs).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, model = "netlogit", data = mydata) 
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item Basic Example
+
+Load the sample data and format it for social network analysis:
+\begin{Schunk}
+\begin{Sinput}
+> data(friendship)
+\end{Sinput}
+\end{Schunk}
+Estimate model:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(friends ~ advice + prestige + perpower, model = "netlogit", 
++     data = friendship)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their default values:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the sampling distribution.
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/netlogit-BasicExamplePlot}
+\end{center}
+
+\item Simulating First Differences
+
+Estimating the risk difference (and risk ratio) between low personal
+power (25th percentile) and high education (75th percentile) while all
+the other variables are held at their default values.
+
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, perpower = quantile(friendship$perpower, 
++     prob = 0.75))
+> x.low <- setx(z.out, educate = quantile(friendship$perpower, 
++     prob = 0.25))
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/netlogit-FirstDifferencesPlot}
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+The {\tt netlogit} model performs a logistic regression of the
+sociomatrix $\mathbf{Y}$, a $m \times m$ matrix representing network
+ties, on a set of sociomatrices $\mathbf{X}$. This network regression
+model is a directly analogue to standard logistic regression
+element-wise on the appropriately vectorized matrices. Sociomatrices
+are vectorized by creating $Y$, an $m^{2} \times 1$ vector to
+represent the sociomatrix. The vectorization which produces the $Y$
+vector from the $\mathbf{Y}$ matrix is preformed by simple
+row-concatenation of $\mathbf{Y}$. For example if $\mathbf{Y}$ is a
+$15 \times 15$ matrix, the $\mathbf{Y}_{1,1}$ element is the first
+element of $Y$, and the $\mathbf{Y}_{21}$ element is the second
+element of $Y$ and so on. Once the input matrices are vectorized,
+standard logistic regression is performed.
+
+Let $Y_{i}$ be the binary dependent variable, produced by vectorizing
+a binary sociomatrix, for observation $i$ which takes the value of
+either 0 or 1.
+\begin{itemize}
+\item The \emph{stochastic component} is given by 
+\begin{eqnarray*}
+Y_{i} & \sim \text{Bernoulli} (y_{i} | \pi_{i})\\
+& = \pi_{i}^{y_{i}} (1 - \pi_{i})^{1 - y_{i}}
+\end{eqnarray*}
+where $\pi_{i} = \text{Pr}(Y_{i} = 1)$.
+\item The \emph{systematic component} is given by:
+\begin{equation*}
+\pi_{i} = \frac{1}{1 + \exp(-x_{i}\beta)}.
+\end{equation*}
+where $x_{i}$ is the vector of $k$ covariates for observation $i$ and
+$\beta$ is the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+The quantities of interest for the network logistic regression are the
+same as those for the standard logistic regression.
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the netlogit model are
+simulations of the predicted probability of a success:   
+\begin{equation*}
+E(Y) = \pi_{i} = \frac{1}{1 + \exp(-x_{i}\beta)}.
+\end{equation*}
+given draws of $\beta$ from its sampling distribution.
+
+\item The predicted values ({\tt qi\$pr}) are draws from the Binomial
+distribution with mean equal to the simulated expected value
+$\pi_{i}$. 
+
+\item The first difference ({\tt qi\$fd}) for the logit model is defined as 
+\begin{equation*}
+FD = \text{Pr}(Y = 1 | x_{1}) - \text{Pr}(Y = 1| x)
+\end{equation*}
+\end{itemize}
+
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, you run {\tt z.out <- zelig(y ~ x, model
+="netlogit", data)}, then you may examine the available information in
+{\tt z.out} by using {\tt names(z.out)}, see the coefficients by using
+{\tt z.out\$coefficients}, and a default summary of information
+through {\tt summary(z.out)}. Other elements available through the
+{\tt \$} operator are listed below.
+\begin{itemize} 
+\item From the {\tt zelig()} output stored in {\tt z.out}, you may extract:
+\begin{itemize}
+\item {\tt coefficients}: parameter estimates for the explanatory variables.
+\item {\tt fitted.values}: the vector of fitted values for the
+explanatory variables. 
+\item {\tt residuals}: the working residuals in the final iteration of
+the IWLS fit.  
+\item {\tt linear.predictors}: the vector of $x_{i}\beta$.
+\item {\tt aic}: Akaike's Information Criterion (minus twice the
+maximized log-likelihood plus twice the number of coefficients). 
+\item {\tt bic}: the Bayesian Information Criterion (minus twice the
+maximized log-likelihood plus the number of coefficients times log
+$n$). 
+\item {\tt df.residual}: the residual degrees of freedom.
+\item {\tt df.null}: the residual degrees of freedom for the null model. 
+\item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE} 
+\end{itemize} 
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+\item {\tt mod.coefficients}: the parameter estimates with their associated standard errors, $p$-values, and $t$ statistics. 
+\item {\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+\item {\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+covariances. 
+\item {\tt ctable}: a $2 \times 2$ table of predicted vs.\ actual
+values.  Each cell tabulates whether the predicted value $\widehat{Y}
+\in \{0,1\}$ corresponds to the observed $Y \in \{0,1\}$. 
+\end{itemize}
+\item From the {\tt sim()} output stored in {\tt s.out}, you may extract:
+\begin{itemize}
+\item {\tt qi\$ev}: the simulated expected probabilities for the
+specified values of {\tt x}.
+\item {\tt qi\$pr}: the simulated predicted values for the specified values of {\tt x}.
+\item {\tt qi\$fd}: the simulated first differences in the expected
+probabilities simulated from {\tt x} and {\tt x1}.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+The network logistic regression is part of the sna package by Carter
+T. Butts.  Please cite the model as \\
+\begin{verse}
+\bibentry{ButCar01}.
+\end{verse}
+In addition, advanced users may wish to refer to {\tt help(netlogit)}.
+Sample data are fictional. Skyler J.\ Cranmer added Zelig functionality. 
+ \end{document}
diff --git a/inst/doc/netls.Rnw b/inst/doc/netls.Rnw
new file mode 100644
index 0000000..563cab5
--- /dev/null
+++ b/inst/doc/netls.Rnw
@@ -0,0 +1,190 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/netls, eval=true}
+\include{zinput}
+%\VignetteIndexEntry{Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, network,least squares, regression,continuous, proximity matrix}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F>>=
+pkg <- search()
+
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt netls}: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}\label{netls}
+
+Use network least squares regression analysis to estimate the
+best linear predictor when the dependent variable is a
+continuously-valued proximity matrix (a.k.a.\ sociomatrices, adjacency
+matrices, or matrix representations of directed graphs). 
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(y ~  x1 + x2, model = "netls", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item Basic Example with First Differences 
+
+Load sample data and format it for social networkx analysis:
+%library sna required 
+<<Examples.data>>=
+ data(sna.ex)
+@ 
+<<Examples.library, echo=false>>=
+if(is.na(match("sna",.packages()))){
+message("Loading package sna...")
+library(sna)
+}
+@ 
+Estimate model:
+<<Examples.zelig>>=
+ z.out <- zelig(Var1 ~ Var2 + Var3 + Var4, model = "netls", data = sna.ex)
+
+@ 
+
+Summarize regression results:
+<<Examples.summary>>=
+ summary(z.out)
+@ 
+
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) for the second
+explanatory variable (Var3).
+<<Examples.setx>>=
+ x.high <- setx(z.out, Var3 = quantile(sna.ex$Var3, 0.8))
+ x.low <- setx(z.out, Var3 = quantile(sna.ex$Var3, 0.2))
+@ 
+Generate first differences for the effect of high versus low values of
+Var3 on the outcome variable.
+<<Examples.sim>>=
+ try(s.out <- sim(z.out, x = x.high, x1 = x.low))
+ try(summary(s.out))
+@ 
+\begin{center}
+<<label=ExamplesPlot, fig=true, echo=true>>=
+ plot(s.out)
+@ 
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+The {\tt netls} model performs a least squares regression of the
+sociomatrix $\mathbf{Y}$, a $m \times m$ matrix representing network
+ties, on a set of sociomatrices $\mathbf{X}$. This network regression
+model is a directly analogue to standard least squares regression
+element-wise on the appropriately vectorized matrices. Sociomatrices
+are vectorized by creating $Y$, an $m^{2} \times 1$ vector to
+represent the sociomatrix. The vectorization which produces the $Y$
+vector from the $\mathbf{Y}$ matrix is preformed by simple
+row-concatenation of $\mathbf{Y}$. For example if $\mathbf{Y}$ is a
+$15 \times 15$ matrix, the $\mathbf{Y}_{1,1}$ element is the first
+element of $Y$, and the $\mathbf{Y}_{21}$ element is the second
+element of $Y$ and so on. Once the input matrices are vectorized,
+standard least squares regression is performed. As such:
+\begin{itemize}
+\item The \emph{stochastic component} is described by a density with
+mean $\mu_{i}$ and the common variance $\sigma^{2}$ 
+\begin{equation*}
+Y_{i} \sim f(y_{i} | \mu_{i}, \sigma^{2}).
+\end{equation*}
+
+\item The \emph{systematic component} models the conditional mean as
+\begin{equation*}
+\mu_{i} = x_{i}\beta
+\end{equation*}
+where $x_{i}$ is the vector of covariates, and $\beta$ is the vector of coefficients.
+\end{itemize}
+The least squares estimator is the best linear predictor of a
+dependent variable given $x_{i}$, and minimizes the sum of squared
+errors $\sum_{i = 1}^{n} (Y_{i} - x_{i}\beta)^{2}$.
+
+\subsubsection{Quantities of Interest}
+The quantities of interest for the network least squares regression
+are the same as those for the standard least squares regression.
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations from
+the stochastic component, 
+\begin{equation*}
+E(Y) = x_{i}\beta,
+\end{equation*}
+given a draw of $\beta$ from its sampling distribution.
+
+\item The first difference ({\tt qi\$fd}) is:
+\begin{equation*}
+FD = E(Y | x_{1}) - E(Y | x)
+\end{equation*}
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, you run {\tt z.out <- zelig(y ~ x,
+model="netls", data)}, then you may examine the available information
+in {\tt z.out} by using {\tt names(z.out)}, see the coefficients by
+using {\tt z.out\$coefficients}, and a default summary of information
+through {\tt summary(z.out)}. Other elements available through the
+{\tt \$} operator are listed below. 
+\begin{itemize}
+\item From the {\tt zelig()} output stored in {\tt z.out}, you may extract:
+\begin{itemize}
+\item {\tt coefficients}: parameter estimates for the explanatory variables.
+\item {\tt fitted.values}: the vector of fitted values for the explanatory variables.
+\item {\tt residuals}: the working residuals in the final iteration of the IWLS fit. 
+\item {\tt df.residual}: the residual degrees of freedom.
+\item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}
+\end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+\item {\tt mod.coefficients}: the parameter estimates with their associated standard errors, $p$-values, and $t$ statistics. 
+\begin{equation*}
+\hat{\beta} = \left( \sum_{i = 1}^{n} x'_{i}x_{i}  \right)^{-1} \sum x_{i}y_{i}
+\end{equation*}
+\item {\tt sigma}: the square root of the estimate variance of the
+random error $\varepsilon$:
+\begin{equation*}
+\hat{\sigma} = \frac{\sum (Y_{i} - x_{i} \hat{\beta} ) ^{2}}{n - k}
+\end{equation*}
+\item {\tt r.squared}: the fraction of the variance explained by the model.
+\begin{equation*}
+R^{2} = 1 - \frac{\sum (Y_{i} - x_{i} \hat{\beta} ) ^{2}}{\sum (y_{i}
+- \bar{y})^{2}}
+\end{equation*}
+\item {\tt adj.r.squared}: the above $R^{2}$ statistic, penalizing for
+an increased number of explanatory variables.  
+\item {\tt cov.unscaled}: a $k \times k$ matrix of unscaled covariances. 
+\end{itemize}
+
+\item From the {\tt sim()} output stored in {\tt s.out}, you may extract:
+\begin{itemize}
+\item {\tt qi\$ev}: the simulated expected values for the specified values of {\tt x}.
+\item {\tt qi\$fd}: the simulated first differences (or differences in
+expected values) for the specified values of {\tt x} and {\tt x1}.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+The network least squares regression is part of the sna package by
+Carter T. Butts.  Please cite the model as
+\begin{verse}
+\bibentry{ButCar01}.
+\end{verse}
+In addition, advanced users may wish to refer to {\tt
+help(netlm)}. Sample data are fictional. Skyler J. Cranmer added Zelig
+functionality.
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/netls.pdf b/inst/doc/netls.pdf
new file mode 100644
index 0000000..b04a91d
Binary files /dev/null and b/inst/doc/netls.pdf differ
diff --git a/inst/doc/netls.tex b/inst/doc/netls.tex
new file mode 100644
index 0000000..3e734b8
--- /dev/null
+++ b/inst/doc/netls.tex
@@ -0,0 +1,182 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, network,least squares, regression,continuous, proximity matrix}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt netls}: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}\label{netls}
+
+Use network least squares regression analysis to estimate the
+best linear predictor when the dependent variable is a
+continuously-valued proximity matrix (a.k.a.\ sociomatrices, adjacency
+matrices, or matrix representations of directed graphs). 
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(y ~  x1 + x2, model = "netls", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item Basic Example with First Differences 
+
+Load sample data and format it for social networkx analysis:
+%library sna required 
+\begin{Schunk}
+\begin{Sinput}
+> data(sna.ex)
+\end{Sinput}
+\end{Schunk}
+Estimate model:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(Var1 ~ Var2 + Var3 + Var4, model = "netls", data = sna.ex)
+\end{Sinput}
+\end{Schunk}
+
+Summarize regression results:
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) for the second
+explanatory variable (Var3).
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, Var3 = quantile(sna.ex$Var3, 0.8))
+> x.low <- setx(z.out, Var3 = quantile(sna.ex$Var3, 0.2))
+\end{Sinput}
+\end{Schunk}
+Generate first differences for the effect of high versus low values of
+Var3 on the outcome variable.
+\begin{Schunk}
+\begin{Sinput}
+> try(s.out <- sim(z.out, x = x.high, x1 = x.low))
+> try(summary(s.out))
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/netls-ExamplesPlot}
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+The {\tt netls} model performs a least squares regression of the
+sociomatrix $\mathbf{Y}$, a $m \times m$ matrix representing network
+ties, on a set of sociomatrices $\mathbf{X}$. This network regression
+model is a directly analogue to standard least squares regression
+element-wise on the appropriately vectorized matrices. Sociomatrices
+are vectorized by creating $Y$, an $m^{2} \times 1$ vector to
+represent the sociomatrix. The vectorization which produces the $Y$
+vector from the $\mathbf{Y}$ matrix is preformed by simple
+row-concatenation of $\mathbf{Y}$. For example if $\mathbf{Y}$ is a
+$15 \times 15$ matrix, the $\mathbf{Y}_{1,1}$ element is the first
+element of $Y$, and the $\mathbf{Y}_{21}$ element is the second
+element of $Y$ and so on. Once the input matrices are vectorized,
+standard least squares regression is performed. As such:
+\begin{itemize}
+\item The \emph{stochastic component} is described by a density with
+mean $\mu_{i}$ and the common variance $\sigma^{2}$ 
+\begin{equation*}
+Y_{i} \sim f(y_{i} | \mu_{i}, \sigma^{2}).
+\end{equation*}
+
+\item The \emph{systematic component} models the conditional mean as
+\begin{equation*}
+\mu_{i} = x_{i}\beta
+\end{equation*}
+where $x_{i}$ is the vector of covariates, and $\beta$ is the vector of coefficients.
+\end{itemize}
+The least squares estimator is the best linear predictor of a
+dependent variable given $x_{i}$, and minimizes the sum of squared
+errors $\sum_{i = 1}^{n} (Y_{i} - x_{i}\beta)^{2}$.
+
+\subsubsection{Quantities of Interest}
+The quantities of interest for the network least squares regression
+are the same as those for the standard least squares regression.
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations from
+the stochastic component, 
+\begin{equation*}
+E(Y) = x_{i}\beta,
+\end{equation*}
+given a draw of $\beta$ from its sampling distribution.
+
+\item The first difference ({\tt qi\$fd}) is:
+\begin{equation*}
+FD = E(Y | x_{1}) - E(Y | x)
+\end{equation*}
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, you run {\tt z.out <- zelig(y ~ x,
+model="netls", data)}, then you may examine the available information
+in {\tt z.out} by using {\tt names(z.out)}, see the coefficients by
+using {\tt z.out\$coefficients}, and a default summary of information
+through {\tt summary(z.out)}. Other elements available through the
+{\tt \$} operator are listed below. 
+\begin{itemize}
+\item From the {\tt zelig()} output stored in {\tt z.out}, you may extract:
+\begin{itemize}
+\item {\tt coefficients}: parameter estimates for the explanatory variables.
+\item {\tt fitted.values}: the vector of fitted values for the explanatory variables.
+\item {\tt residuals}: the working residuals in the final iteration of the IWLS fit. 
+\item {\tt df.residual}: the residual degrees of freedom.
+\item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}
+\end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+\item {\tt mod.coefficients}: the parameter estimates with their associated standard errors, $p$-values, and $t$ statistics. 
+\begin{equation*}
+\hat{\beta} = \left( \sum_{i = 1}^{n} x'_{i}x_{i}  \right)^{-1} \sum x_{i}y_{i}
+\end{equation*}
+\item {\tt sigma}: the square root of the estimate variance of the
+random error $\varepsilon$:
+\begin{equation*}
+\hat{\sigma} = \frac{\sum (Y_{i} - x_{i} \hat{\beta} ) ^{2}}{n - k}
+\end{equation*}
+\item {\tt r.squared}: the fraction of the variance explained by the model.
+\begin{equation*}
+R^{2} = 1 - \frac{\sum (Y_{i} - x_{i} \hat{\beta} ) ^{2}}{\sum (y_{i}
+- \bar{y})^{2}}
+\end{equation*}
+\item {\tt adj.r.squared}: the above $R^{2}$ statistic, penalizing for
+an increased number of explanatory variables.  
+\item {\tt cov.unscaled}: a $k \times k$ matrix of unscaled covariances. 
+\end{itemize}
+
+\item From the {\tt sim()} output stored in {\tt s.out}, you may extract:
+\begin{itemize}
+\item {\tt qi\$ev}: the simulated expected values for the specified values of {\tt x}.
+\item {\tt qi\$fd}: the simulated first differences (or differences in
+expected values) for the specified values of {\tt x} and {\tt x1}.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+The network least squares regression is part of the sna package by
+Carter T. Butts.  Please cite the model as
+\begin{verse}
+\bibentry{ButCar01}.
+\end{verse}
+In addition, advanced users may wish to refer to {\tt
+help(netlm)}. Sample data are fictional. Skyler J. Cranmer added Zelig
+functionality.
+ \end{document}
diff --git a/inst/doc/normal.Rnw b/inst/doc/normal.Rnw
new file mode 100644
index 0000000..29d7596
--- /dev/null
+++ b/inst/doc/normal.Rnw
@@ -0,0 +1,308 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/normal}
+\include{zinput}
+%\VignetteIndexEntry{Normal Regression  for Continuous Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model, normal,regression,continuous, least squares}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+\section{{\tt normal}: Normal Regression for Continuous Dependent Variables}
+\label{normal}
+
+The Normal regression model is a close variant of the more standard
+least squares regression model (see \Sref{ls}). Both models specify a
+continuous dependent variable as a linear function of a set of
+explanatory variables.  The Normal model reports maximum likelihood
+(rather than least squares) estimates.  The two models differ only in
+their estimate for the stochastic parameter $\sigma$.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "normal", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for normal regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item Basic Example with First Differences
+
+Attach sample data: 
+<<Examples.data>>=
+ data(macro)
+@ 
+Estimate model:  
+<<Examples.zelig>>=
+ z.out1 <- zelig(unem ~ gdp + capmob + trade, model = "normal", 
+                  data = macro)
+@ 
+Summarize of regression coefficients:  
+<<Examples.summary>>=
+ summary(z.out1)
+@
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) values for trade: 
+<<Examples.setx>>= 
+ x.high <- setx(z.out1, trade = quantile(macro$trade, 0.8))
+ x.low <- setx(z.out1, trade = quantile(macro$trade, 0.2))
+@ 
+Generate first differences for the effect of high versus low trade on
+GDP: 
+<<Examples.sim>>=
+ s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+@
+<<Examples.summary.sim>>= 
+ summary(s.out1)
+@
+%plot does not work 
+A visual summary of quantities of interest:  
+\begin{center}
+<<label=ExamplesPlot,fig=true,echo=true>>= 
+ plot(s.out1)
+@ 
+\end{center}
+
+\item Using Dummy Variables
+%the code in this section does not work well but there is no demo for this part either
+ 
+Estimate a model with a dummy variable for each year and country (see
+\ref{factors} for help with dummy variables).  Note that you do not
+need to create dummy variables, as the program will automatically
+parse the unique values in the selected variables into dummy
+variables.    
+<<Dummy.zelig>>=
+ z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(year) 
+                  + as.factor(country), model = "normal", data = macro)
+@ 
+Set values for the explanatory variables, using the default mean/mode
+variables, with country set to the United States and Japan,
+respectively: 
+<<Dummy.setx>>=
+### x.US <- try(setx(z.out2, country = "United States"),silent=T)
+### x.Japan <- try(setx(z.out2, country = "Japan"),silent=T)
+@ 
+Simulate quantities of interest:  
+<<Dummy.sim>>=
+### s.out2 <- try(sim(z.out2, x = x.US, x1 = x.Japan), silent=T)
+@ 
+<<Dummy.summary>>= 
+###try(summary(s.out2))
+@
+%plot does not work 
+\begin{center}
+<<label=DummyPlot,fig=true,echo=false>>= 
+# plot(s.out2)
+@ 
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i$ be the continuous dependent variable for observation $i$.
+\begin{itemize}
+\item The \emph{stochastic component} is described by a univariate normal
+  model with a vector of means $\mu_i$ and scalar variance $\sigma^2$:
+  \begin{equation*}
+    Y_i \; \sim \; \textrm{Normal}(\mu_i, \sigma^2). 
+  \end{equation*}
+
+\item The \emph{systematic component} is 
+  \begin{equation*}
+    \mu_i \;= \; x_i \beta,
+  \end{equation*}
+  where $x_i$ is the vector of $k$ explanatory variables and $\beta$ is
+  the vector of coefficients.
+\end{itemize}
+
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the the stochastic component, $$E(Y) = \mu_i = x_i \beta,$$
+  given a draw of $\beta$ from its posterior.  
+
+\item The predicted value ({\tt qi\$pr}) is drawn from the distribution
+  defined by the set of parameters $(\mu_i, \sigma)$.  
+
+\item The first difference ({\tt qi\$fd}) is:
+\begin{equation*}
+\textrm{FD}\; = \;E(Y \mid x_1) -  E(Y \mid x)
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "normal", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: fitted values.  For the normal model,
+     these are identical to the {\tt linear predictors}.
+   \item {\tt linear.predictors}: fitted values.  For the normal
+     model, these are identical to {\tt fitted.values}.
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by $(\mu_i, \sigma)$.
+   \item {\tt qi\$fd}: the simulated first difference in the simulated
+     expected values for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The Normal model is part of the stats package by William N. Venables
+and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Advanced users may wish to refer to
+\texttt{help(glm)}, \texttt{help(family)}, and \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/normal.bayes.Rnw b/inst/doc/normal.bayes.Rnw
new file mode 100644
index 0000000..0325c34
--- /dev/null
+++ b/inst/doc/normal.bayes.Rnw
@@ -0,0 +1,266 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/normalBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Normal Linear Regression}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, normal,linear, regression,bayes, continuous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{\texttt{normal.bayes}: Bayesian Normal Linear Regression}
+\label{normal.bayes}
+
+Use Bayesian regression to specify a continuous dependent variable as
+a linear function of specified explanatory variables.  The model is
+implemented using a Gibbs sampler.  See \Sref{normal} for the
+maximum-likelihood implementation or \Sref{ls} for the ordinary least
+squares variation.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "normal.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Use the following arguments to monitor the convergence of the Markov
+chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the
+progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA}, which corresponds to a random seed of 12345.
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number 
+of estimated coefficients. The default is \texttt{NA}, which uses the
+least squares estimates as the starting values. 
+
+\end{itemize}
+
+Use the following arguments to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric
+vector or a scalar. If a scalar, that value will
+be the prior mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0, which
+leads to an improper prior. 
+
+\item \texttt{c0}: \texttt{c0/2} is the shape parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\item \texttt{d0}: \texttt{d0/2} is the scale parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCregress)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample dataset:
+<<BasicExample.data>>=
+ data(macro)
+@ 
+
+Estimating linear regression using \texttt{normal.bayes}:
+<<BasicExample.zelig>>=
+z.out <- zelig(unem ~ gdp + capmob + trade, model = "normal.bayes",
+                  data = macro, verbose = TRUE)
+@ 
+Checking for convergence before summarizing the estimates:
+<<BasicExample.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<BasicExample.heidel>>= 
+heidel.diag(z.out$coefficients)
+@ 
+<<BasicExample.raftery>>= 
+raftery.diag(z.out$coefficients)
+@
+<<BasicExample.summary>>=  
+summary(z.out) 
+@ 
+
+Setting values for the explanatory variables to their sample averages:
+<<BasicExample.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}:
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@
+<<BasicExample.summary.sim>>= 
+summary(s.out1)
+@ 
+\item {Simulating First Differences} \\
+Set explanatory variables to their default(mean/mode) values, with high
+(80th percentile) and low (20th percentile) trade on GDP:
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out, trade = quantile(macro$trade, prob = 0.8))
+ x.low <- setx(z.out, trade = quantile(macro$trade, prob = 0.2))
+@ 
+Estimating the first difference for the effect of
+high versus low trade on unemployment rate:
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+@ 
+<<FirstDifferences.summary.sim>>=
+ summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+\epsilon_{i}  &  \sim & \textrm{Normal}(0, \sigma^2)
+\end{eqnarray*}
+where $\epsilon_{i}=Y_i-\mu_i$.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_{i}= x_{i} \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+
+\item The \emph{semi-conjugate priors} for $\beta$ and $\sigma^2$ are given by
+\begin{eqnarray*}
+\beta & \sim & \textrm{Normal}_k \left( b_{0},B_{0}^{-1}\right) \\
+\sigma^{2} & \sim & {\rm InverseGamma}\left( \frac{c_0}{2}, 
+\frac{d_0}{2} \right) 
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory
+variables, $B_{0}$ is the $k\times k$ precision matrix (the inverse of
+a variance-covariance matrix), and $c_0/2$ and $d_0/2$ are the shape and
+scale parameters for $\sigma^{2}$.  Note that $\beta$ and $\sigma^2$
+are assumed to be \emph{a priori} independent.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the linear regression model are
+calculated as following:
+\begin{eqnarray*}
+E(Y) = x_{i} \beta,
+\end{eqnarray*}
+given posterior draws of $\beta$ based on the MCMC iterations.
+
+\item The first difference (\texttt{qi\$fd}) for the linear regression model 
+is defined as
+\begin{eqnarray*}
+\text{FD}=E(Y\mid X_{1})-E(Y\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum_{i=1}^n t_{i}}\sum_{i:t_{i}=1} \{
+Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)] \},
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "normal.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. The first $k$ columns contain the posterior draws
+of the coefficients $\beta$, and the last column contains the posterior draws 
+of the variance $\sigma^2$.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+The Bayesian regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{normal.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/normal.bayes.pdf b/inst/doc/normal.bayes.pdf
new file mode 100644
index 0000000..c44ac57
Binary files /dev/null and b/inst/doc/normal.bayes.pdf differ
diff --git a/inst/doc/normal.bayes.tex b/inst/doc/normal.bayes.tex
new file mode 100644
index 0000000..2fcba46
--- /dev/null
+++ b/inst/doc/normal.bayes.tex
@@ -0,0 +1,277 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Normal Linear Regression}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, normal,linear, regression,bayes, continuous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{normal.bayes}: Bayesian Normal Linear Regression}
+\label{normal.bayes}
+
+Use Bayesian regression to specify a continuous dependent variable as
+a linear function of specified explanatory variables.  The model is
+implemented using a Gibbs sampler.  See \Sref{normal} for the
+maximum-likelihood implementation or \Sref{ls} for the ordinary least
+squares variation.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "normal.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Use the following arguments to monitor the convergence of the Markov
+chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}. If \texttt{TRUE}, the
+progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default
+is \texttt{NA}, which corresponds to a random seed of 12345.
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number 
+of estimated coefficients. The default is \texttt{NA}, which uses the
+least squares estimates as the starting values. 
+
+\end{itemize}
+
+Use the following arguments to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric
+vector or a scalar. If a scalar, that value will
+be the prior mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0, which
+leads to an improper prior. 
+
+\item \texttt{c0}: \texttt{c0/2} is the shape parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\item \texttt{d0}: \texttt{d0/2} is the scale parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCregress)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(macro)
+\end{Sinput}
+\end{Schunk}
+
+Estimating linear regression using \texttt{normal.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(unem ~ gdp + capmob + trade, model = "normal.bayes", 
++     data = macro, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}:
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Set explanatory variables to their default(mean/mode) values, with high
+(80th percentile) and low (20th percentile) trade on GDP:
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, trade = quantile(macro$trade, prob = 0.8))
+> x.low <- setx(z.out, trade = quantile(macro$trade, prob = 0.2))
+\end{Sinput}
+\end{Schunk}
+Estimating the first difference for the effect of
+high versus low trade on unemployment rate:
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+\epsilon_{i}  &  \sim & \textrm{Normal}(0, \sigma^2)
+\end{eqnarray*}
+where $\epsilon_{i}=Y_i-\mu_i$.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_{i}= x_{i} \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+
+\item The \emph{semi-conjugate priors} for $\beta$ and $\sigma^2$ are given by
+\begin{eqnarray*}
+\beta & \sim & \textrm{Normal}_k \left( b_{0},B_{0}^{-1}\right) \\
+\sigma^{2} & \sim & {\rm InverseGamma}\left( \frac{c_0}{2}, 
+\frac{d_0}{2} \right) 
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory
+variables, $B_{0}$ is the $k\times k$ precision matrix (the inverse of
+a variance-covariance matrix), and $c_0/2$ and $d_0/2$ are the shape and
+scale parameters for $\sigma^{2}$.  Note that $\beta$ and $\sigma^2$
+are assumed to be \emph{a priori} independent.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the linear regression model are
+calculated as following:
+\begin{eqnarray*}
+E(Y) = x_{i} \beta,
+\end{eqnarray*}
+given posterior draws of $\beta$ based on the MCMC iterations.
+
+\item The first difference (\texttt{qi\$fd}) for the linear regression model 
+is defined as
+\begin{eqnarray*}
+\text{FD}=E(Y\mid X_{1})-E(Y\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum_{i=1}^n t_{i}}\sum_{i:t_{i}=1} \{
+Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)] \},
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "normal.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. The first $k$ columns contain the posterior draws
+of the coefficients $\beta$, and the last column contains the posterior draws 
+of the variance $\sigma^2$.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+The Bayesian regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{normal.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/normal.pdf b/inst/doc/normal.pdf
new file mode 100644
index 0000000..587d9f9
Binary files /dev/null and b/inst/doc/normal.pdf differ
diff --git a/inst/doc/normal.tex b/inst/doc/normal.tex
new file mode 100644
index 0000000..b820f3f
--- /dev/null
+++ b/inst/doc/normal.tex
@@ -0,0 +1,299 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Normal Regression  for Continuous Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model, normal,regression,continuous, least squares}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+\section{{\tt normal}: Normal Regression for Continuous Dependent Variables}
+\label{normal}
+
+The Normal regression model is a close variant of the more standard
+least squares regression model (see \Sref{ls}). Both models specify a
+continuous dependent variable as a linear function of a set of
+explanatory variables.  The Normal model reports maximum likelihood
+(rather than least squares) estimates.  The two models differ only in
+their estimate for the stochastic parameter $\sigma$.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "normal", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for normal regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item Basic Example with First Differences
+
+Attach sample data: 
+\begin{Schunk}
+\begin{Sinput}
+> data(macro)
+\end{Sinput}
+\end{Schunk}
+Estimate model:  
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(unem ~ gdp + capmob + trade, model = "normal", 
++     data = macro)
+\end{Sinput}
+\end{Schunk}
+Summarize of regression coefficients:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out1)
+\end{Sinput}
+\end{Schunk}
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) values for trade: 
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out1, trade = quantile(macro$trade, 0.8))
+> x.low <- setx(z.out1, trade = quantile(macro$trade, 0.2))
+\end{Sinput}
+\end{Schunk}
+Generate first differences for the effect of high versus low trade on
+GDP: 
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+%plot does not work 
+A visual summary of quantities of interest:  
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/normal-ExamplesPlot}
+\end{center}
+
+\item Using Dummy Variables
+%the code in this section does not work well but there is no demo for this part either
+ 
+Estimate a model with a dummy variable for each year and country (see
+\ref{factors} for help with dummy variables).  Note that you do not
+need to create dummy variables, as the program will automatically
+parse the unique values in the selected variables into dummy
+variables.    
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(year) + 
++     as.factor(country), model = "normal", data = macro)
+\end{Sinput}
+\end{Schunk}
+Set values for the explanatory variables, using the default mean/mode
+variables, with country set to the United States and Japan,
+respectively: 
+Simulate quantities of interest:  
+%plot does not work 
+\begin{center}
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i$ be the continuous dependent variable for observation $i$.
+\begin{itemize}
+\item The \emph{stochastic component} is described by a univariate normal
+  model with a vector of means $\mu_i$ and scalar variance $\sigma^2$:
+  \begin{equation*}
+    Y_i \; \sim \; \textrm{Normal}(\mu_i, \sigma^2). 
+  \end{equation*}
+
+\item The \emph{systematic component} is 
+  \begin{equation*}
+    \mu_i \;= \; x_i \beta,
+  \end{equation*}
+  where $x_i$ is the vector of $k$ explanatory variables and $\beta$ is
+  the vector of coefficients.
+\end{itemize}
+
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the the stochastic component, $$E(Y) = \mu_i = x_i \beta,$$
+  given a draw of $\beta$ from its posterior.  
+
+\item The predicted value ({\tt qi\$pr}) is drawn from the distribution
+  defined by the set of parameters $(\mu_i, \sigma)$.  
+
+\item The first difference ({\tt qi\$fd}) is:
+\begin{equation*}
+\textrm{FD}\; = \;E(Y \mid x_1) -  E(Y \mid x)
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "normal", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: fitted values.  For the normal model,
+     these are identical to the {\tt linear predictors}.
+   \item {\tt linear.predictors}: fitted values.  For the normal
+     model, these are identical to {\tt fitted.values}.
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by $(\mu_i, \sigma)$.
+   \item {\tt qi\$fd}: the simulated first difference in the simulated
+     expected values for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The Normal model is part of the stats package by William N. Venables
+and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Advanced users may wish to refer to
+\texttt{help(glm)}, \texttt{help(family)}, and \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinTomWit00}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+ \end{document}
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/ologit.Rnw b/inst/doc/ologit.Rnw
new file mode 100644
index 0000000..29c76f4
--- /dev/null
+++ b/inst/doc/ologit.Rnw
@@ -0,0 +1,267 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/ologit}
+\include{zinput}
+%\VignetteIndexEntry{Ordinal Logistic Regression  for Ordered Categorical Dependent Variables}
+%\VignetteDepends{Zelig, MASS}
+%\VignetteKeyWords{model, logistic,regression,ordinal, ordered,categorical}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt ologit}: Ordinal Logistic Regression for Ordered
+Categorical Dependent Variables}\label{ologit}
+
+Use the ordinal logit regression model if your dependent variable is
+ordered and categorical, either in the form of integer values or character strings.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(as.factor(Y) ~ X1 + X2, model = "ologit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+If {\tt Y} takes discrete integer values, the {\tt as.factor()}
+command will order automatically order the values.  If {\tt Y} takes
+on values composed of character strings, such as ``strongly agree'',
+``agree'', and ``disagree'', {\tt as.factor()} will order the values
+in the order in which they appear in {\tt Y}.  You will need to
+replace your dependent variable with a factored variable prior to
+estimating the model through {\tt zelig()}.  See Section \ref{factors}
+for more information on creating ordered factors and Example
+\ref{ord.fact} below.
+
+\subsubsection{Example}
+
+\begin{enumerate}
+
+\item {Creating An Ordered Dependent Variable} \label{ord.fact}
+
+Load the sample data:  
+<<Example.data>>=
+ data(sanction)
+@ 
+Create an ordered dependent variable: 
+<<Example.factor>>=
+ sanction$ncost <- factor(sanction$ncost, ordered = TRUE,
+                          levels = c("net gain", "little effect", 
+                          "modest loss", "major loss"))
+@ 
+Estimate the model:
+<<Example.zelig>>=
+ z.out <- zelig(ncost ~ mil + coop, model = "ologit", data = sanction)
+@ 
+Set the explanatory variables to their observed values:  
+<<Example.setx>>=
+ x.out <- setx(z.out, fn = NULL)
+@ 
+Simulate fitted values given {\tt x.out} and view the results:
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.out)
+@
+<<Example.summary>>= 
+ summary(s.out)
+@ 
+
+\item {First Differences}
+
+Using the sample data \texttt{sanction}, estimate the empirical model and returning the coefficients:
+<<FirstDifferences.zelig>>=
+ z.out <- zelig(as.factor(cost) ~ mil + coop, model = "ologit", 
+                 data = sanction)
+@ 
+<<FirstDifferences.summary>>=
+summary(z.out)
+@ 
+Set the explanatory variables to their means, with {\tt mil} set
+to 0 (no military action in addition to sanctions) in the baseline
+case and set to 1 (military action in addition to sanctions) in the
+alternative case:
+<<FirstDifferences.setx>>=
+ x.low <- setx(z.out, mil = 0)
+ x.high <- setx(z.out, mil = 1)
+@ 
+Generate simulated fitted values and first differences, and view the results:
+<<FirstDifferences.sim>>=
+ s.out <- sim(z.out, x = x.low, x1 = x.high)
+ summary(s.out)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be the ordered categorical dependent variable for
+observation $i$ that takes one of the integer values from $1$ to $J$
+where $J$ is the total number of categories.
+  
+\begin{itemize}
+\item The \emph{stochastic component} begins with an unobserved continuous
+  variable, $Y^*_i$, which follows the standard logistic distribution
+  with a parameter $\mu_i$,
+  \begin{equation*}
+    Y_i^* \; \sim \; \textrm{Logit}(y_i^* \mid \mu_i),  
+  \end{equation*}
+  to which we add an observation mechanism
+  \begin{equation*}
+    Y_i \; = \; j \quad {\rm if} \quad \tau_{j-1} \le Y_i^* \le \tau_j
+    \quad {\rm for} \quad j=1,\dots,J.
+  \end{equation*}
+  where $\tau_l$ (for $l=0,\dots,J$) are the threshold parameters with
+  $\tau_l < \tau_m$ for all $l<m$ and $\tau_0=-\infty$ and
+  $\tau_J=\infty$.
+  
+\item The \emph{systematic component} has the following form, given
+  the parameters $\tau_j$ and $\beta$, and the explanatory variables $x_i$: 
+  \begin{equation*}
+    \Pr(Y \le j) \; = \; \Pr(Y^* \le \tau_j) \; = \frac{\exp(\tau_j -
+      x_i \beta)}{1+\exp(\tau_j -x_i \beta)},
+  \end{equation*}
+  which implies:
+  \begin{equation*}
+    \pi_{j}  \; = \; \frac{\exp(\tau_j - x_i \beta)}{1 + \exp(\tau_j -
+      x_i \beta)} - \frac{\exp(\tau_{j-1} - x_i \beta)}{1 +
+      \exp(\tau_{j-1} - x_i \beta)}.
+  \end{equation*}
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the ordinal logit model
+  are simulations of the predicted probabilities for each category: 
+\begin{equation*}
+E(Y = j) \; = \; \pi_{j} \; = \; \frac{\exp(\tau_j - x_i \beta)}
+{1 + \exp(\tau_j - x_i \beta)} - \frac{\exp(\tau_{j-1} - x_i \beta)}{1 +
+ \exp(\tau_{j-1} - x_i \beta)},
+\end{equation*}
+given a draw of $\beta$ from its sampling distribution.  
+
+\item The predicted value ({\tt qi\$pr}) is drawn from the logit
+  distribution described by $\mu_i$, and observed as one of $J$
+  discrete outcomes.  
+
+\item The difference in each of the predicted probabilities ({\tt
+    qi\$fd}) is given by
+  \begin{equation*}
+    \Pr(Y=j \mid x_1) \;-\; \Pr(Y=j \mid x) \quad {\rm for} \quad
+    j=1,\dots,J.
+  \end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "ologit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt zeta}: a vector containing the estimated class
+     boundaries $\tau_j$.
+   \item {\tt deviance}: the residual deviance.
+   \item {\tt fitted.values}: the $n \times J$ matrix of in-sample
+     fitted values.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt edf}: the effective degrees of freedom.  
+   \item {\tt Hessian}: the Hessian matrix.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, and $t$-statistics.
+   \end{itemize}
+   
+ \item From the {\tt sim()} output object {\tt s.out}, you may extract
+   quantities of interest arranged as arrays.  Available quantities
+   are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}, indexed by simulation $\times$
+     quantity $\times$ {\tt x}-observation (for more than one {\tt
+       x}-observation).
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by the expected probabilities, indexed by
+     simulation $\times$ {\tt x}-observation.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1},
+     indexed by simulation $\times$ quantity $\times$ {\tt
+       x}-observation (for more than one {\tt x}-observation).
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The ordinal logit model is part of the MASS library by William N.
+Venables and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to
+{\tt help(polr)} in the MASS libary and \cite{McCNel89}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/ologit.pdf b/inst/doc/ologit.pdf
new file mode 100644
index 0000000..14518c1
Binary files /dev/null and b/inst/doc/ologit.pdf differ
diff --git a/inst/doc/ologit.tex b/inst/doc/ologit.tex
new file mode 100644
index 0000000..24a1401
--- /dev/null
+++ b/inst/doc/ologit.tex
@@ -0,0 +1,273 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Ordinal Logistic Regression  for Ordered Categorical Dependent Variables}
+%\VignetteDepends{Zelig, MASS}
+%\VignetteKeyWords{model, logistic,regression,ordinal, ordered,categorical}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt ologit}: Ordinal Logistic Regression for Ordered
+Categorical Dependent Variables}\label{ologit}
+
+Use the ordinal logit regression model if your dependent variable is
+ordered and categorical, either in the form of integer values or character strings.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(as.factor(Y) ~ X1 + X2, model = "ologit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+If {\tt Y} takes discrete integer values, the {\tt as.factor()}
+command will order automatically order the values.  If {\tt Y} takes
+on values composed of character strings, such as ``strongly agree'',
+``agree'', and ``disagree'', {\tt as.factor()} will order the values
+in the order in which they appear in {\tt Y}.  You will need to
+replace your dependent variable with a factored variable prior to
+estimating the model through {\tt zelig()}.  See Section \ref{factors}
+for more information on creating ordered factors and Example
+\ref{ord.fact} below.
+
+\subsubsection{Example}
+
+\begin{enumerate}
+
+\item {Creating An Ordered Dependent Variable} \label{ord.fact}
+
+Load the sample data:  
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+Create an ordered dependent variable: 
+\begin{Schunk}
+\begin{Sinput}
+> sanction$ncost <- factor(sanction$ncost, ordered = TRUE, levels = c("net gain", 
++     "little effect", "modest loss", "major loss"))
+\end{Sinput}
+\end{Schunk}
+Estimate the model:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(ncost ~ mil + coop, model = "ologit", data = sanction)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their observed values:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out, fn = NULL)
+\end{Sinput}
+\end{Schunk}
+Simulate fitted values given {\tt x.out} and view the results:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+
+\item {First Differences}
+
+Using the sample data \texttt{sanction}, estimate the empirical model and returning the coefficients:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(as.factor(cost) ~ mil + coop, model = "ologit", 
++     data = sanction)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means, with {\tt mil} set
+to 0 (no military action in addition to sanctions) in the baseline
+case and set to 1 (military action in addition to sanctions) in the
+alternative case:
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, mil = 0)
+> x.high <- setx(z.out, mil = 1)
+\end{Sinput}
+\end{Schunk}
+Generate simulated fitted values and first differences, and view the results:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.low, x1 = x.high)
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_i$ be the ordered categorical dependent variable for
+observation $i$ that takes one of the integer values from $1$ to $J$
+where $J$ is the total number of categories.
+  
+\begin{itemize}
+\item The \emph{stochastic component} begins with an unobserved continuous
+  variable, $Y^*_i$, which follows the standard logistic distribution
+  with a parameter $\mu_i$,
+  \begin{equation*}
+    Y_i^* \; \sim \; \textrm{Logit}(y_i^* \mid \mu_i),  
+  \end{equation*}
+  to which we add an observation mechanism
+  \begin{equation*}
+    Y_i \; = \; j \quad {\rm if} \quad \tau_{j-1} \le Y_i^* \le \tau_j
+    \quad {\rm for} \quad j=1,\dots,J.
+  \end{equation*}
+  where $\tau_l$ (for $l=0,\dots,J$) are the threshold parameters with
+  $\tau_l < \tau_m$ for all $l<m$ and $\tau_0=-\infty$ and
+  $\tau_J=\infty$.
+  
+\item The \emph{systematic component} has the following form, given
+  the parameters $\tau_j$ and $\beta$, and the explanatory variables $x_i$: 
+  \begin{equation*}
+    \Pr(Y \le j) \; = \; \Pr(Y^* \le \tau_j) \; = \frac{\exp(\tau_j -
+      x_i \beta)}{1+\exp(\tau_j -x_i \beta)},
+  \end{equation*}
+  which implies:
+  \begin{equation*}
+    \pi_{j}  \; = \; \frac{\exp(\tau_j - x_i \beta)}{1 + \exp(\tau_j -
+      x_i \beta)} - \frac{\exp(\tau_{j-1} - x_i \beta)}{1 +
+      \exp(\tau_{j-1} - x_i \beta)}.
+  \end{equation*}
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the ordinal logit model
+  are simulations of the predicted probabilities for each category: 
+\begin{equation*}
+E(Y = j) \; = \; \pi_{j} \; = \; \frac{\exp(\tau_j - x_i \beta)}
+{1 + \exp(\tau_j - x_i \beta)} - \frac{\exp(\tau_{j-1} - x_i \beta)}{1 +
+ \exp(\tau_{j-1} - x_i \beta)},
+\end{equation*}
+given a draw of $\beta$ from its sampling distribution.  
+
+\item The predicted value ({\tt qi\$pr}) is drawn from the logit
+  distribution described by $\mu_i$, and observed as one of $J$
+  discrete outcomes.  
+
+\item The difference in each of the predicted probabilities ({\tt
+    qi\$fd}) is given by
+  \begin{equation*}
+    \Pr(Y=j \mid x_1) \;-\; \Pr(Y=j \mid x) \quad {\rm for} \quad
+    j=1,\dots,J.
+  \end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{n_j}\sum_{i:t_i=1}^{n_j} \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "ologit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt zeta}: a vector containing the estimated class
+     boundaries $\tau_j$.
+   \item {\tt deviance}: the residual deviance.
+   \item {\tt fitted.values}: the $n \times J$ matrix of in-sample
+     fitted values.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt edf}: the effective degrees of freedom.  
+   \item {\tt Hessian}: the Hessian matrix.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, and $t$-statistics.
+   \end{itemize}
+   
+ \item From the {\tt sim()} output object {\tt s.out}, you may extract
+   quantities of interest arranged as arrays.  Available quantities
+   are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}, indexed by simulation $\times$
+     quantity $\times$ {\tt x}-observation (for more than one {\tt
+       x}-observation).
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by the expected probabilities, indexed by
+     simulation $\times$ {\tt x}-observation.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1},
+     indexed by simulation $\times$ quantity $\times$ {\tt
+       x}-observation (for more than one {\tt x}-observation).
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The ordinal logit model is part of the MASS library by William N.
+Venables and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to
+{\tt help(polr)} in the MASS libary and \cite{McCNel89}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+ \end{document}
+
+
+
+
+
diff --git a/inst/doc/oprobit.Rnw b/inst/doc/oprobit.Rnw
new file mode 100644
index 0000000..ff14046
--- /dev/null
+++ b/inst/doc/oprobit.Rnw
@@ -0,0 +1,285 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/oprobit}
+\include{zinput}
+%\VignetteIndexEntry{Ordinal Probit Regression for Ordered Categorical Dependent Variables}
+%\VignetteDepends{Zelig, MASS}
+%\VignetteKeyWords{model, probit,regression,ordinal, ordered,categorical}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt oprobit}: Ordinal Probit Regression for Ordered
+Categorical Dependent Variables}\label{oprobit}
+
+Use the ordinal probit regression model if your dependent variables
+are ordered and categorical.  They may take on either integer values
+or character strings.  For a Bayesian implementation of this model,
+see \Sref{oprobit.bayes}.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(as.factor(Y) ~ X1 + X2, model = "oprobit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+If {\tt Y} takes discrete integer values, the {\tt as.factor()}
+command will order it automatically.  If {\tt Y} takes on values
+composed of character strings, such as ``strongly agree'', ``agree'',
+and ``disagree'', {\tt as.factor()} will order the values in the order
+in which they appear in {\tt Y}.  You will need to replace your
+dependent variable with a factored variable prior to estimating the
+model through {\tt zelig()}.  See \Sref{factors} for more information
+on creating ordered factors and Example \ref{ord.fact.p} below.
+
+\subsubsection{Example}
+\begin{enumerate}
+\item {Creating An Ordered Dependent Variable} \label{ord.fact.p}
+
+Load the sample data:  
+<<Example.data>>=
+ data(sanction)
+@ 
+Create an ordered dependent variable: 
+<<Example.factor>>=
+ sanction$ncost <- factor(sanction$ncost, ordered = TRUE,
+                           levels = c("net gain", "little effect", 
+                           "modest loss", "major loss"))
+@
+Estimate the model:
+<<Example.zelig>>=
+ z.out <- zelig(ncost ~ mil + coop, model = "oprobit", data = sanction)
+ summary(z.out)
+@ 
+Set the explanatory variables to their observed values:  
+<<Example.setx>>=
+ x.out <- setx(z.out, fn = NULL)
+@ 
+Simulate fitted values given {\tt x.out} and view the results:
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.out)
+ summary(s.out)
+@
+%plot does not work but is nnot included in the demo 
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=false>>= 
+# plot(s.out)
+@ 
+\end{center}
+
+\item {First Differences}
+
+Using the sample data \texttt{sanction}, let us estimate the empirical model and return the coefficients:
+<<FirstDifferences.zelig>>=
+ z.out <- zelig(as.factor(cost) ~ mil + coop, model = "oprobit", 
+                 data = sanction)
+@ 
+<<FirstDifferences.summary>>=
+summary(z.out)
+@ 
+Set the explanatory variables to their means, with {\tt mil} set
+to 0 (no military action in addition to sanctions) in the baseline
+case and set to 1 (military action in addition to sanctions) in the
+alternative case:
+<<FirstDifferences.setx>>=
+ x.low <- setx(z.out, mil = 0)
+ x.high <- setx(z.out, mil = 1)
+@ 
+Generate simulated fitted values and first differences, and view the results:
+<<FirstDifferences.sim>>=
+ s.out <- sim(z.out, x = x.low, x1 = x.high)
+@ 
+<<FirstDifferences.summary.sim>>= 
+summary(s.out)
+@
+\begin{center}
+<<label=FirstDifferencesPlot,fig=true,echo=true>>= 
+ plot(s.out)
+@ 
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+  Let $Y_i$ be the ordered categorical dependent variable for
+  observation $i$ that takes one of the integer values from $1$ to $J$
+  where $J$ is the total number of categories.
+\begin{itemize}
+\item The \emph{stochastic component} is described by an unobserved continuous
+  variable, $Y^*_i$, which follows the normal distribution with mean
+  $\mu_i$ and unit variance
+  \begin{equation*}
+    Y_i^* \; \sim \; N(\mu_i, 1). 
+  \end{equation*}
+  The observation mechanism is 
+  \begin{equation*}
+    Y_i \; = \; j \quad {\rm if} \quad \tau_{j-1} \le Y_i^* \le \tau_j
+    \quad {\rm for} \quad j=1,\dots,J.
+  \end{equation*}
+  where $\tau_k$ for $k=0,\dots,J$ is the threshold parameter with the
+  following constraints; $\tau_l < \tau_m$ for all $l<m$ and
+  $\tau_0=-\infty$ and $\tau_J=\infty$.
+  
+  Given this observation mechanism, the probability for each category,
+  is given by
+  \begin{equation*}
+    \Pr(Y_i = j) \; = \; \Phi(\tau_{j} \mid \mu_i) - \Phi(\tau_{j-1} \mid
+    \mu_i) \quad {\rm for} \quad j=1,\dots,J
+  \end{equation*}
+  where $\Phi(\mu_i)$ is the cumulative distribution function for the
+  Normal distribution with mean $\mu_i$ and unit variance.
+  
+\item The \emph{systematic component} is given by
+  \begin{equation*}
+    \mu_i \; = \; x_i \beta
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables and $\beta$ is
+  the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the ordinal probit model
+  are simulations of the predicted probabilities for each category:
+\begin{equation*}
+    E(Y_i = j) \; = \; \Pr(Y_i = j) \; = \; \Phi(\tau_{j} \mid \mu_i)
+    - \Phi(\tau_{j-1} \mid  \mu_i) \quad {\rm for} \quad j=1,\dots,J, 
+\end{equation*}
+given draws of $\beta$ from its posterior.
+  
+\item The predicted value ({\tt qi\$pr}) is the observed value of
+  $Y_i$ given the underlying standard normal distribution described by
+  $\mu_i$.
+
+\item The difference in each of the predicted probabilities ({\tt
+    qi\$fd}) is given by
+  \begin{equation*}
+    \Pr(Y=j \mid x_1) \;-\; \Pr(Y=j \mid x) \quad {\rm for} \quad
+    j=1,\dots,J.
+  \end{equation*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "oprobit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times J$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times (J-1)$ matrix of the linear
+     predictors $x_i \beta_j$.
+   \item {\tt residuals}: an $n \times (J-1)$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times J$ matrix of the dependent variables.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times (m-1)$ matrix of the Pearson residuals.  
+\end{itemize}
+
+ \item From the {\tt sim()} output object {\tt s.out}, you may extract
+   quantities of interest arranged as arrays.  Available quantities
+   are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}, indexed by simulation $\times$
+     quantity $\times$ {\tt x}-observation (for more than one {\tt
+       x}-observation).
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by the expected probabilities, indexed by
+     simulation $\times$ {\tt x}-observation.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1},
+     indexed by simulation $\times$ quantity $\times$ {\tt
+       x}-observation (for more than one {\tt x}-observation).
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The ordinal probit function is part of the VGAM package by Thomas Yee.
+Please cite the model as:
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)} 
+in the VGAM library.  Additional
+documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
diff --git a/inst/doc/oprobit.bayes.Rnw b/inst/doc/oprobit.bayes.Rnw
new file mode 100644
index 0000000..d4cdcb7
--- /dev/null
+++ b/inst/doc/oprobit.bayes.Rnw
@@ -0,0 +1,303 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/oprobitBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Ordered Probit Regression}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, bayes,regression,ordinal, ordered,categorical}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{\texttt{oprobit.bayes}: Bayesian Ordered Probit Regression}
+
+\label{oprobit.bayes}
+
+Use the ordinal probit regression model if your dependent variables are ordered and 
+categorical.  They may take either integer values or character strings.  The model 
+is estimated using a Gibbs sampler with data augmentation.  For a 
+maximum-likelihood implementation of this models, see \Sref{oprobit}.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "oprobit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+
+\subsubsection{Additional Inputs}
+
+{\tt zelig()} accepts the following arguments to monitor the Markov
+chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item{\texttt{tune}}: tuning parameter for the Metropolis-Hasting step.
+The default value is \texttt{NA} which corresponds to 0.05 divided by
+the number of categories in the response variable.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}  If \texttt{TRUE},
+the progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default 
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number 
+of estimated coefficients. The default is \texttt{NA}, which uses the
+maximum likelihood estimates as the starting values.  
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric 
+vector or a scalar. If a scalar value, that value will be the prior
+mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with dimensions equal to the number of
+coefficients) or a scalar. If a scalar value, that value times an
+identity matrix will be the prior precision parameter. The default is
+0 which leads to an improper prior.
+\end{itemize}
+
+\noindent Zelig users may wish to refer to \texttt{help(MCMCoprobit)} 
+for more information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<BasicExample.data>>=
+ data(sanction)
+@ 
+Estimating ordered probit regression using \texttt{oprobit.bayes}:
+<<BasicExample.zelig>>=
+ z.out <- zelig(ncost ~ mil + coop, model = "oprobit.bayes",
+                  data = sanction, verbose=TRUE)
+@ 
+
+Creating an ordered dependent variable:
+<<BasicExample.factor>>=
+sanction$ncost <- factor(sanction$ncost, ordered = TRUE,
+                         levels = c("net gain", "little effect", 
+                         "modest loss", "major loss"))
+@ 
+
+Checking for convergence before summarizing the estimates:
+<<BasicExample.heidel>>=
+heidel.diag(z.out$coefficients)
+@ 
+<<BasicExample.raftery>>= 
+raftery.diag(z.out$coefficients)
+@  
+<<BasicExample.summary>>=
+summary(z.out) 
+@  
+Setting values for the explanatory variables to their sample averages:
+<<BasicExample.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given:
+\texttt{x.out}.
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+ summary(s.out1)
+@
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in the probabilities of
+incurring different level of cost when there is no military action versus 
+military action while all the other variables held at their 
+default values.
+
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out, mil=0)
+ x.low <- setx(z.out, mil=1)
+@ 
+<<FirstDifferences.sim>>= 
+s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+ summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_{i}$ be the ordered categorical dependent variable for
+observation $i$ which takes an integer value $j=1, \ldots, J$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by an unobserved 
+continuous variable, $Y_i^*$, 
+\begin{eqnarray*}
+Y_{i}^*  \sim \textrm{Normal}(\mu_i, 1).
+\end{eqnarray*}
+Instead of $Y_i^*$, we observe categorical variable $Y_i$,
+\begin{eqnarray*}
+Y_i = j \quad \textrm{ if } \tau_{j-1} \le Y_i^* \le \tau_j \textrm{
+for } j=1,\ldots, J.
+\end{eqnarray*}
+where $\tau_j$ for $j=0,\ldots, J$ are the threshold parameters with
+the following constraints, $\tau_l < \tau_m$ for $l < m$, and
+$\tau_0=-\infty, \tau_J=\infty$.
+
+The probability of observing $Y_i$ equal to category $j$ is,
+\begin{eqnarray*}
+\Pr(Y_i=j) &=& \Phi(\tau_j \mid \mu_i)-\Phi(\tau_{j-1} \mid \mu_i) 
+\textrm{ for } j=1,\ldots, J
+\end{eqnarray*}
+where $\Phi(\cdot \mid \mu_i)$ is the cumulative distribution function
+of the Normal distribution with mean $\mu_i$ and variance 1.
+
+\item The \emph{systematic component} is given by
+
+\begin{eqnarray*}
+\mu_{i}= x_i \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for 
+observation $i$ and $\beta$ is the vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k\left(  b_{0},B_{0}^{-1}\right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the ordered probit model are
+the predicted probability of belonging to each category:
+\begin{eqnarray*}
+\Pr(Y_i=j)= \Phi(\tau_j \mid x_i \beta)-\Phi(\tau_{j-1} \mid x_i \beta),
+\end{eqnarray*}
+given the posterior draws of $\beta$ and threshold parameters $\tau$
+from the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are the observed values of 
+$Y_i$ given the observation scheme and the posterior draws of $\beta$
+and cut points $\tau$ from the MCMC iterations.
+
+\item The first difference (\texttt{qi\$fd}) in category $j$ for the 
+ordered probit model is defined as
+\begin{eqnarray*}
+\text{FD}_j=\Pr(Y_i=j\mid X_{1})-\Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr}) in category $j$ is defined as
+\begin{eqnarray*}
+\text{RR}_j=\Pr(Y_i=j\mid X_{1})\ /\ \Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j} \{
+Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)] \},
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of observations in the treatment group that belong to category $j$.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of observations in the treatment group that belong to category $j$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "oprobit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior
+distribution of the \texttt{coefficients} by using
+\texttt{z.out\$coefficients}, and view a default summary of
+information through \texttt{summary(z.out)}. Other elements available
+through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated coefficients $\beta$ and threshold parameters $\tau$.
+Note, element $\tau_1$ is normalized to 0 and is not returned in the 
+\texttt{coefficients} object.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values (probabilities) of 
+each of the $J$ categories for the specified values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values (observed values)
+ for the specified values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values of each of the $J$ categories for the values specified in 
+\texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the 
+expected values of each of the $J$ categories simulated 
+from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian ordinal probit regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{oprobit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/oprobit.bayes.pdf b/inst/doc/oprobit.bayes.pdf
new file mode 100644
index 0000000..9465dee
Binary files /dev/null and b/inst/doc/oprobit.bayes.pdf differ
diff --git a/inst/doc/oprobit.bayes.tex b/inst/doc/oprobit.bayes.tex
new file mode 100644
index 0000000..3b62857
--- /dev/null
+++ b/inst/doc/oprobit.bayes.tex
@@ -0,0 +1,309 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Ordered Probit Regression}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, bayes,regression,ordinal, ordered,categorical}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{oprobit.bayes}: Bayesian Ordered Probit Regression}
+
+\label{oprobit.bayes}
+
+Use the ordinal probit regression model if your dependent variables are ordered and 
+categorical.  They may take either integer values or character strings.  The model 
+is estimated using a Gibbs sampler with data augmentation.  For a 
+maximum-likelihood implementation of this models, see \Sref{oprobit}.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "oprobit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+
+\subsubsection{Additional Inputs}
+
+{\tt zelig()} accepts the following arguments to monitor the Markov
+chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item{\texttt{tune}}: tuning parameter for the Metropolis-Hasting step.
+The default value is \texttt{NA} which corresponds to 0.05 divided by
+the number of categories in the response variable.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}  If \texttt{TRUE},
+the progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default 
+is \texttt{NA} which corresponds to a random seed 12345.
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number 
+of estimated coefficients. The default is \texttt{NA}, which uses the
+maximum likelihood estimates as the starting values.  
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric 
+vector or a scalar. If a scalar value, that value will be the prior
+mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with dimensions equal to the number of
+coefficients) or a scalar. If a scalar value, that value times an
+identity matrix will be the prior precision parameter. The default is
+0 which leads to an improper prior.
+\end{itemize}
+
+\noindent Zelig users may wish to refer to \texttt{help(MCMCoprobit)} 
+for more information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+Estimating ordered probit regression using \texttt{oprobit.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(ncost ~ mil + coop, model = "oprobit.bayes", data = sanction, 
++     verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+
+Creating an ordered dependent variable:
+\begin{Schunk}
+\begin{Sinput}
+> sanction$ncost <- factor(sanction$ncost, ordered = TRUE, levels = c("net gain", 
++     "little effect", "modest loss", "major loss"))
+\end{Sinput}
+\end{Schunk}
+
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given:
+\texttt{x.out}.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in the probabilities of
+incurring different level of cost when there is no military action versus 
+military action while all the other variables held at their 
+default values.
+
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, mil = 0)
+> x.low <- setx(z.out, mil = 1)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_{i}$ be the ordered categorical dependent variable for
+observation $i$ which takes an integer value $j=1, \ldots, J$.
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by an unobserved 
+continuous variable, $Y_i^*$, 
+\begin{eqnarray*}
+Y_{i}^*  \sim \textrm{Normal}(\mu_i, 1).
+\end{eqnarray*}
+Instead of $Y_i^*$, we observe categorical variable $Y_i$,
+\begin{eqnarray*}
+Y_i = j \quad \textrm{ if } \tau_{j-1} \le Y_i^* \le \tau_j \textrm{
+for } j=1,\ldots, J.
+\end{eqnarray*}
+where $\tau_j$ for $j=0,\ldots, J$ are the threshold parameters with
+the following constraints, $\tau_l < \tau_m$ for $l < m$, and
+$\tau_0=-\infty, \tau_J=\infty$.
+
+The probability of observing $Y_i$ equal to category $j$ is,
+\begin{eqnarray*}
+\Pr(Y_i=j) &=& \Phi(\tau_j \mid \mu_i)-\Phi(\tau_{j-1} \mid \mu_i) 
+\textrm{ for } j=1,\ldots, J
+\end{eqnarray*}
+where $\Phi(\cdot \mid \mu_i)$ is the cumulative distribution function
+of the Normal distribution with mean $\mu_i$ and variance 1.
+
+\item The \emph{systematic component} is given by
+
+\begin{eqnarray*}
+\mu_{i}= x_i \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for 
+observation $i$ and $\beta$ is the vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k\left(  b_{0},B_{0}^{-1}\right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the ordered probit model are
+the predicted probability of belonging to each category:
+\begin{eqnarray*}
+\Pr(Y_i=j)= \Phi(\tau_j \mid x_i \beta)-\Phi(\tau_{j-1} \mid x_i \beta),
+\end{eqnarray*}
+given the posterior draws of $\beta$ and threshold parameters $\tau$
+from the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are the observed values of 
+$Y_i$ given the observation scheme and the posterior draws of $\beta$
+and cut points $\tau$ from the MCMC iterations.
+
+\item The first difference (\texttt{qi\$fd}) in category $j$ for the 
+ordered probit model is defined as
+\begin{eqnarray*}
+\text{FD}_j=\Pr(Y_i=j\mid X_{1})-\Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr}) in category $j$ is defined as
+\begin{eqnarray*}
+\text{RR}_j=\Pr(Y_i=j\mid X_{1})\ /\ \Pr(Y_i=j\mid X).
+\end{eqnarray*}
+
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j} \{
+Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)] \},
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of observations in the treatment group that belong to category $j$.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of observations in the treatment group that belong to category $j$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "oprobit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior
+distribution of the \texttt{coefficients} by using
+\texttt{z.out\$coefficients}, and view a default summary of
+information through \texttt{summary(z.out)}. Other elements available
+through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated coefficients $\beta$ and threshold parameters $\tau$.
+Note, element $\tau_1$ is normalized to 0 and is not returned in the 
+\texttt{coefficients} object.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values (probabilities) of 
+each of the $J$ categories for the specified values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values (observed values)
+ for the specified values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values of each of the $J$ categories for the values specified in 
+\texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the 
+expected values of each of the $J$ categories simulated 
+from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian ordinal probit regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{oprobit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+ \end{document}
diff --git a/inst/doc/oprobit.pdf b/inst/doc/oprobit.pdf
new file mode 100644
index 0000000..b8c0dc5
Binary files /dev/null and b/inst/doc/oprobit.pdf differ
diff --git a/inst/doc/oprobit.tex b/inst/doc/oprobit.tex
new file mode 100644
index 0000000..6aad487
--- /dev/null
+++ b/inst/doc/oprobit.tex
@@ -0,0 +1,291 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Ordinal Probit Regression for Ordered Categorical Dependent Variables}
+%\VignetteDepends{Zelig, MASS}
+%\VignetteKeyWords{model, probit,regression,ordinal, ordered,categorical}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt oprobit}: Ordinal Probit Regression for Ordered
+Categorical Dependent Variables}\label{oprobit}
+
+Use the ordinal probit regression model if your dependent variables
+are ordered and categorical.  They may take on either integer values
+or character strings.  For a Bayesian implementation of this model,
+see \Sref{oprobit.bayes}.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(as.factor(Y) ~ X1 + X2, model = "oprobit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+If {\tt Y} takes discrete integer values, the {\tt as.factor()}
+command will order it automatically.  If {\tt Y} takes on values
+composed of character strings, such as ``strongly agree'', ``agree'',
+and ``disagree'', {\tt as.factor()} will order the values in the order
+in which they appear in {\tt Y}.  You will need to replace your
+dependent variable with a factored variable prior to estimating the
+model through {\tt zelig()}.  See \Sref{factors} for more information
+on creating ordered factors and Example \ref{ord.fact.p} below.
+
+\subsubsection{Example}
+\begin{enumerate}
+\item {Creating An Ordered Dependent Variable} \label{ord.fact.p}
+
+Load the sample data:  
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+Create an ordered dependent variable: 
+\begin{Schunk}
+\begin{Sinput}
+> sanction$ncost <- factor(sanction$ncost, ordered = TRUE, levels = c("net gain", 
++     "little effect", "modest loss", "major loss"))
+\end{Sinput}
+\end{Schunk}
+Estimate the model:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(ncost ~ mil + coop, model = "oprobit", data = sanction)
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their observed values:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out, fn = NULL)
+\end{Sinput}
+\end{Schunk}
+Simulate fitted values given {\tt x.out} and view the results:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+%plot does not work but is nnot included in the demo 
+\begin{center}
+\end{center}
+
+\item {First Differences}
+
+Using the sample data \texttt{sanction}, let us estimate the empirical model and return the coefficients:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(as.factor(cost) ~ mil + coop, model = "oprobit", 
++     data = sanction)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means, with {\tt mil} set
+to 0 (no military action in addition to sanctions) in the baseline
+case and set to 1 (military action in addition to sanctions) in the
+alternative case:
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, mil = 0)
+> x.high <- setx(z.out, mil = 1)
+\end{Sinput}
+\end{Schunk}
+Generate simulated fitted values and first differences, and view the results:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.low, x1 = x.high)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/oprobit-FirstDifferencesPlot}
+\end{center}
+\end{enumerate}
+
+\subsubsection{Model}
+  Let $Y_i$ be the ordered categorical dependent variable for
+  observation $i$ that takes one of the integer values from $1$ to $J$
+  where $J$ is the total number of categories.
+\begin{itemize}
+\item The \emph{stochastic component} is described by an unobserved continuous
+  variable, $Y^*_i$, which follows the normal distribution with mean
+  $\mu_i$ and unit variance
+  \begin{equation*}
+    Y_i^* \; \sim \; N(\mu_i, 1). 
+  \end{equation*}
+  The observation mechanism is 
+  \begin{equation*}
+    Y_i \; = \; j \quad {\rm if} \quad \tau_{j-1} \le Y_i^* \le \tau_j
+    \quad {\rm for} \quad j=1,\dots,J.
+  \end{equation*}
+  where $\tau_k$ for $k=0,\dots,J$ is the threshold parameter with the
+  following constraints; $\tau_l < \tau_m$ for all $l<m$ and
+  $\tau_0=-\infty$ and $\tau_J=\infty$.
+  
+  Given this observation mechanism, the probability for each category,
+  is given by
+  \begin{equation*}
+    \Pr(Y_i = j) \; = \; \Phi(\tau_{j} \mid \mu_i) - \Phi(\tau_{j-1} \mid
+    \mu_i) \quad {\rm for} \quad j=1,\dots,J
+  \end{equation*}
+  where $\Phi(\mu_i)$ is the cumulative distribution function for the
+  Normal distribution with mean $\mu_i$ and unit variance.
+  
+\item The \emph{systematic component} is given by
+  \begin{equation*}
+    \mu_i \; = \; x_i \beta
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables and $\beta$ is
+  the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest} 
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the ordinal probit model
+  are simulations of the predicted probabilities for each category:
+\begin{equation*}
+    E(Y_i = j) \; = \; \Pr(Y_i = j) \; = \; \Phi(\tau_{j} \mid \mu_i)
+    - \Phi(\tau_{j-1} \mid  \mu_i) \quad {\rm for} \quad j=1,\dots,J, 
+\end{equation*}
+given draws of $\beta$ from its posterior.
+  
+\item The predicted value ({\tt qi\$pr}) is the observed value of
+  $Y_i$ given the underlying standard normal distribution described by
+  $\mu_i$.
+
+\item The difference in each of the predicted probabilities ({\tt
+    qi\$fd}) is given by
+  \begin{equation*}
+    \Pr(Y=j \mid x_1) \;-\; \Pr(Y=j \mid x) \quad {\rm for} \quad
+    j=1,\dots,J.
+  \end{equation*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group in category $j$ is
+\begin{eqnarray*}
+\frac{1}{n_j}\sum_{i:t_{i}=1}^{n_j}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups, and $n_j$ is the 
+number of treated observations in category $j$.
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "oprobit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: the named vector of coefficients.   
+   \item {\tt fitted.values}: an $n \times J$ matrix of the in-sample
+     fitted values.
+   \item {\tt predictors}: an $n \times (J-1)$ matrix of the linear
+     predictors $x_i \beta_j$.
+   \item {\tt residuals}: an $n \times (J-1)$ matrix of the residuals.  
+   \item {\tt df.residual}: the residual degrees of freedom.  
+   \item {\tt df.total}: the total degrees of freedom.
+   \item {\tt rss}: the residual sum of squares.  
+   \item {\tt y}: an $n \times J$ matrix of the dependent variables.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract:
+\begin{itemize}
+  \item {\tt coef3}: a table of the coefficients with their associated
+    standard errors and $t$-statistics.
+  \item {\tt cov.unscaled}: the variance-covariance matrix. 
+  \item {\tt pearson.resid}: an $n \times (m-1)$ matrix of the Pearson residuals.  
+\end{itemize}
+
+ \item From the {\tt sim()} output object {\tt s.out}, you may extract
+   quantities of interest arranged as arrays.  Available quantities
+   are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected probabilities for the
+     specified values of {\tt x}, indexed by simulation $\times$
+     quantity $\times$ {\tt x}-observation (for more than one {\tt
+       x}-observation).
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distribution defined by the expected probabilities, indexed by
+     simulation $\times$ {\tt x}-observation.
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1},
+     indexed by simulation $\times$ quantity $\times$ {\tt
+       x}-observation (for more than one {\tt x}-observation).
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The ordinal probit function is part of the VGAM package by Thomas Yee.
+Please cite the model as:
+\begin{verse}
+\bibentry{YeeHas03}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(vglm)} 
+in the VGAM library.  Additional
+documentation is available at
+\hlink{http://www.stat.auckland.ac.nz/\~\,yee}{http://www.stat.auckland.ac.nz/~yee}.
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End: 
+ \end{document}
+
+
+
+
+
+
+
diff --git a/inst/doc/poisson.Rnw b/inst/doc/poisson.Rnw
new file mode 100644
index 0000000..d2b16ab
--- /dev/null
+++ b/inst/doc/poisson.Rnw
@@ -0,0 +1,251 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/poisson}
+\include{zinput}
+%\VignetteIndexEntry{Poisson Regression for Event Count Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model, poisson,regression, count}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt poisson}: Poisson Regression for Event Count
+Dependent Variables}\label{poisson}
+
+Use the Poisson regression model if the observations of your dependent
+variable represents the number of independent events that occur during
+a fixed period of time (see the negative binomial model, \Sref{negbin},
+for over-dispersed event counts.)  For a Bayesian implementation of
+this model, see \Sref{poisson.bayes}.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "poisson", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for poisson regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Example}
+
+Load sample data:  
+<<Example.data>>=
+ data(sanction)
+@ 
+Estimate Poisson model:  
+<<Example.zelig>>=
+ z.out <- zelig(num ~ target + coop, model = "poisson", data = sanction)
+@ 
+<<Example.summary>>= 
+summary(z.out)
+@ 
+Set values for the explanatory variables to their default mean values:  
+<<Example.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulate fitted values:  
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.out)
+@ 
+<<Example.summary.sim>>= 
+summary(s.out)
+@
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=true>>= 
+ plot(s.out)
+@ 
+\end{center}
+
+\subsubsection{Model}
+Let $Y_i$ be the number of independent events that occur during a
+fixed time period. This variable can take any non-negative integer.
+
+\begin{itemize}
+\item The Poisson distribution has \emph{stochastic component}
+  \begin{equation*}
+    Y_i \; \sim \; \textrm{Poisson}(\lambda_i),
+  \end{equation*}
+  where $\lambda_i$ is the mean and variance parameter.
+  
+\item The \emph{systematic component} is 
+  \begin{equation*}
+    \lambda_i \; = \; \exp(x_i \beta),
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables, and $\beta$ is
+  the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+  
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the stochastic component, $$E(Y) = \lambda_i =  \exp(x_i
+  \beta),$$ given draws of $\beta$ from its sampling distribution.  
+  
+\item The predicted value ({\tt qi\$pr}) is a random draw from the
+  poisson distribution defined by mean $\lambda_i$.
+
+\item The first difference in the expected values ({\tt qi\$fd}) is given by:
+\begin{equation*}
+\textrm{FD} \; = \; E(Y | x_1) - E(Y \mid x)
+\end{equation*}
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "poisson", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: a vector of the fitted values for the systemic
+     component $\lambda$.  
+   \item {\tt linear.predictors}: a vector of $x_{i}\beta$.  
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values given the
+     specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distributions defined by $\lambda_i$.
+   \item {\tt qi\$fd}: the simulated first differences in the expected
+     values given the specified values of {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The Poisson model is part of the stats package by William N. Venables
+and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Advanced users may wish to refer to {\tt help(glm)} and {\tt
+  help(family)}, as well as \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/poisson.bayes.Rnw b/inst/doc/poisson.bayes.Rnw
new file mode 100644
index 0000000..f09757d
--- /dev/null
+++ b/inst/doc/poisson.bayes.Rnw
@@ -0,0 +1,264 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/poissonBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Poisson Regression}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, poisson,bayes,count,Metropolis}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{\texttt{poisson.bayes}: Bayesian Poisson Regression}
+
+\label{poisson.bayes}
+
+Use the Poisson regression model if the observations of your dependent
+variable represents the number of independent events that occur during
+a fixed period of time. The model is fit using a random walk
+Metropolis algorithm.  For a maximum-likelihood estimation of this
+model see \Sref{poisson}.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "poisson.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Use the following argument to monitor the Markov chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}:  thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: Metropolis tuning parameter, either 
+a positive scalar or a vector of length $k$, where $k$ is the number
+of coefficients. The tuning parameter should be set such that the
+acceptance rate of the Metropolis algorithm is satisfactory (typically
+between 0.20 and 0.5). The default value is 1.1.
+
+\item \texttt{verbose}: default to {\tt FALSE}. 
+If \texttt{TRUE}, the progress of the sampler (every $10\%$) is
+printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default 
+is \texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number of
+estimated coefficients. The default is \texttt{NA}, such that the
+maximum likelihood estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric 
+vector or a scalar. If a scalar, that value will be the prior mean for
+all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0, which
+leads to an improper prior.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCpoisson)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<BasicExample.data>>=
+ data(sanction)
+@ 
+Estimating the Poisson regression using \texttt{poisson.bayes}:
+<<BasicExample.zelig>>=
+ z.out <- zelig(num ~ target + coop, model = "poisson.bayes",
+                  data = sanction, verbose = TRUE)
+@ 
+Checking convergence diagnostics before summarizing the estimates:
+<<BasicExample.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<BasicExample.heidel>>= 
+heidel.diag(z.out$coefficients)
+@  
+<<BasicExample.raftery>>=
+raftery.diag(z.out$coefficients)
+@  
+<<BasicExample.summary>>=
+summary(z.out)
+@ 
+Setting values for the explanatory variables to their sample averages:
+<<BasicExample.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@ 
+<<BasicExample.summary.sim>>= 
+summary(s.out1)
+@
+\item {Simulating First Differences} \\
+Estimating the first difference in the number of countries imposing sanctions
+when the number of targets is set to be its maximum versus its minimum :
+<<FirstDifferences.setx>>=
+ x.max <- setx(z.out, target = max(sanction$target))
+ x.min <- setx(z.out, target = min(sanction$target))
+@
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out, x = x.max, x1 = x.min)
+ summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the number of independent events that occur during 
+a fixed time period. 
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{i}  &  \sim & \textrm{Poisson}(\lambda_i)
+\end{eqnarray*}
+where $\lambda_i$ is the mean and variance parameter.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\lambda_{i}= \exp(x_{i} \beta)
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k \left(  b_{0},B_{0}^{-1}\right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the Poisson model are
+calculated as following:
+\begin{eqnarray*}
+E(Y\mid X) = \lambda_i = \exp(x_i \beta),
+\end{eqnarray*}
+given the posterior draws of $\beta$ based on the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are draws from the Poisson
+distribution with parameter $\lambda_i$.
+
+\item The first difference (\texttt{qi\$fd}) for the Poisson model is defined
+as
+\begin{eqnarray*}
+\text{FD}=E(Y\mid X_{1})-E(Y\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum_{i=1}^n t_{i}}\sum_{i:t_{i}=1}\{Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]\},
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum_{i=1}^n t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "poisson.bayes", data)
+\end{verbatim}
+
+\noindent you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values for the specified values
+of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian Poisson regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{poisson.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/poisson.bayes.pdf b/inst/doc/poisson.bayes.pdf
new file mode 100644
index 0000000..ee71568
Binary files /dev/null and b/inst/doc/poisson.bayes.pdf differ
diff --git a/inst/doc/poisson.bayes.tex b/inst/doc/poisson.bayes.tex
new file mode 100644
index 0000000..74ccb31
--- /dev/null
+++ b/inst/doc/poisson.bayes.tex
@@ -0,0 +1,273 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Poisson Regression}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, poisson,bayes,count,Metropolis}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{poisson.bayes}: Bayesian Poisson Regression}
+
+\label{poisson.bayes}
+
+Use the Poisson regression model if the observations of your dependent
+variable represents the number of independent events that occur during
+a fixed period of time. The model is fit using a random walk
+Metropolis algorithm.  For a maximum-likelihood estimation of this
+model see \Sref{poisson}.
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "poisson.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Use the following argument to monitor the Markov chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000). 
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}:  thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{tune}: Metropolis tuning parameter, either 
+a positive scalar or a vector of length $k$, where $k$ is the number
+of coefficients. The tuning parameter should be set such that the
+acceptance rate of the Metropolis algorithm is satisfactory (typically
+between 0.20 and 0.5). The default value is 1.1.
+
+\item \texttt{verbose}: default to {\tt FALSE}. 
+If \texttt{TRUE}, the progress of the sampler (every $10\%$) is
+printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default 
+is \texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number of
+estimated coefficients. The default is \texttt{NA}, such that the
+maximum likelihood estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric 
+vector or a scalar. If a scalar, that value will be the prior mean for
+all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0, which
+leads to an improper prior.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCpoisson)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+Estimating the Poisson regression using \texttt{poisson.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(num ~ target + coop, model = "poisson.bayes", 
++     data = sanction, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+Checking convergence diagnostics before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Estimating the first difference in the number of countries imposing sanctions
+when the number of targets is set to be its maximum versus its minimum :
+\begin{Schunk}
+\begin{Sinput}
+> x.max <- setx(z.out, target = max(sanction$target))
+> x.min <- setx(z.out, target = min(sanction$target))
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.max, x1 = x.min)
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the number of independent events that occur during 
+a fixed time period. 
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{i}  &  \sim & \textrm{Poisson}(\lambda_i)
+\end{eqnarray*}
+where $\lambda_i$ is the mean and variance parameter.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\lambda_{i}= \exp(x_{i} \beta)
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for observation $i$
+and $\beta$ is the vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k \left(  b_{0},B_{0}^{-1}\right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the Poisson model are
+calculated as following:
+\begin{eqnarray*}
+E(Y\mid X) = \lambda_i = \exp(x_i \beta),
+\end{eqnarray*}
+given the posterior draws of $\beta$ based on the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are draws from the Poisson
+distribution with parameter $\lambda_i$.
+
+\item The first difference (\texttt{qi\$fd}) for the Poisson model is defined
+as
+\begin{eqnarray*}
+\text{FD}=E(Y\mid X_{1})-E(Y\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum_{i=1}^n t_{i}}\sum_{i:t_{i}=1}\{Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]\},
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups.
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum_{i=1}^n t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "poisson.bayes", data)
+\end{verbatim}
+
+\noindent you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values for the specified values
+of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian Poisson regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{poisson.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+ \end{document}
diff --git a/inst/doc/poisson.pdf b/inst/doc/poisson.pdf
new file mode 100644
index 0000000..bb0f621
Binary files /dev/null and b/inst/doc/poisson.pdf differ
diff --git a/inst/doc/poisson.tex b/inst/doc/poisson.tex
new file mode 100644
index 0000000..eea2f10
--- /dev/null
+++ b/inst/doc/poisson.tex
@@ -0,0 +1,253 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Poisson Regression for Event Count Dependent Variables}
+%\VignetteDepends{Zelig, stats}
+%\VignetteKeyWords{model, poisson,regression, count}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt poisson}: Poisson Regression for Event Count
+Dependent Variables}\label{poisson}
+
+Use the Poisson regression model if the observations of your dependent
+variable represents the number of independent events that occur during
+a fixed period of time (see the negative binomial model, \Sref{negbin},
+for over-dispersed event counts.)  For a Bayesian implementation of
+this model, see \Sref{poisson.bayes}.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "poisson", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for poisson regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Example}
+
+Load sample data:  
+\begin{Schunk}
+\begin{Sinput}
+> data(sanction)
+\end{Sinput}
+\end{Schunk}
+Estimate Poisson model:  
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(num ~ target + coop, model = "poisson", data = sanction)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set values for the explanatory variables to their default mean values:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulate fitted values:  
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/poisson-ExamplePlot}
+\end{center}
+
+\subsubsection{Model}
+Let $Y_i$ be the number of independent events that occur during a
+fixed time period. This variable can take any non-negative integer.
+
+\begin{itemize}
+\item The Poisson distribution has \emph{stochastic component}
+  \begin{equation*}
+    Y_i \; \sim \; \textrm{Poisson}(\lambda_i),
+  \end{equation*}
+  where $\lambda_i$ is the mean and variance parameter.
+  
+\item The \emph{systematic component} is 
+  \begin{equation*}
+    \lambda_i \; = \; \exp(x_i \beta),
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables, and $\beta$ is
+  the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+  
+\item The expected value ({\tt qi\$ev}) is the mean of simulations
+  from the stochastic component, $$E(Y) = \lambda_i =  \exp(x_i
+  \beta),$$ given draws of $\beta$ from its sampling distribution.  
+  
+\item The predicted value ({\tt qi\$pr}) is a random draw from the
+  poisson distribution defined by mean $\lambda_i$.
+
+\item The first difference in the expected values ({\tt qi\$fd}) is given by:
+\begin{equation*}
+\textrm{FD} \; = \; E(Y | x_1) - E(Y \mid x)
+\end{equation*}
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "poisson", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: a vector of the fitted values for the systemic
+     component $\lambda$.  
+   \item {\tt linear.predictors}: a vector of $x_{i}\beta$.  
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values given the
+     specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distributions defined by $\lambda_i$.
+   \item {\tt qi\$fd}: the simulated first differences in the expected
+     values given the specified values of {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The Poisson model is part of the stats package by William N. Venables
+and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Advanced users may wish to refer to {\tt help(glm)} and {\tt
+  help(family)}, as well as \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{Martin92}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
diff --git a/inst/doc/probit.Rnw b/inst/doc/probit.Rnw
new file mode 100644
index 0000000..9e6d090
--- /dev/null
+++ b/inst/doc/probit.Rnw
@@ -0,0 +1,248 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/probit}
+\include{zinput}
+%\VignetteIndexEntry{Probit Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, probit,regression,dichotomous, binary}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt probit}: Probit Regression for Dichotomous Dependent Variables}\label{probit}
+
+Use probit regression to model binary dependent variables
+specified as a function of a set of explanatory variables.  For a
+Bayesian implementation of this model, see \Sref{probit.bayes}.  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "probit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out, x1 = NULL)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for probit regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}
+Attach the sample turnout dataset:
+<<Examples.data>>=
+ data(turnout)
+@ 
+Estimate parameter values for the probit regression:
+<<Examples.zelig>>=
+ z.out <- zelig(vote ~ race + educate,  model = "probit", data = turnout) 
+@ 
+<<Examples.summary>>=
+ summary(z.out)
+@ 
+Set values for the explanatory variables to their default values.
+<<Examples.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulate quantities of interest from the posterior distribution.
+<<Examples.sim>>=
+s.out <- sim(z.out, x = x.out)
+@ 
+<<Examples.summary.sim>>=
+summary(s.out)
+@ 
+
+\subsubsection{Model}
+Let $Y_i$ be the observed binary dependent variable for observation
+$i$ which takes the value of either 0 or 1.
+\begin{itemize}
+\item The \emph{stochastic component} is given by  
+\begin{equation*}
+Y_i \; \sim \; \textrm{Bernoulli}(\pi_i), 
+\end{equation*}
+where $\pi_i=\Pr(Y_i=1)$.
+
+\item The \emph{systematic component} is 
+\begin{equation*}
+  \pi_i \; = \; \Phi (x_i \beta)
+\end{equation*}
+where $\Phi(\mu)$ is the cumulative distribution function of the
+Normal distribution with mean 0 and unit variance.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+
+\item The expected value ({\tt qi\$ev}) is a simulation of predicted
+  probability of success $$E(Y) = \pi_i = \Phi(x_i
+  \beta),$$ given a draw of $\beta$ from its sampling distribution.  
+
+\item The predicted value ({\tt qi\$pr}) is a draw from a Bernoulli
+  distribution with mean $\pi_i$.  
+  
+\item The first difference ({\tt qi\$fd}) in expected values is
+  defined as
+\begin{equation*}
+\textrm{FD} = \Pr(Y = 1 \mid x_1) - \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item The risk ratio ({\tt qi\$rr}) is defined as
+\begin{equation*}
+\textrm{RR} = \Pr(Y = 1 \mid x_1) / \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "probit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: a vector of the in-sample fitted values.
+   \item {\tt linear.predictors}: a vector of $x_{i}\beta$.  
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt data}: the name of the input data frame.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values, or predicted
+     probabilities, for the specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distributions defined by the predicted probabilities.  
+   \item {\tt qi\$fd}: the simulated first differences in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio for the predicted
+     probabilities simulated from {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The probit model is part of the base package by William N. Venables
+and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(glm)}
+and \texttt{help(family)}, as well as \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}.
+\end{verse}
+
+Sample data are a selection of $2,000$ observations from
+\begin{verse}
+\bibentry{KinTomWit00}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/probit.bayes.Rnw b/inst/doc/probit.bayes.Rnw
new file mode 100644
index 0000000..37144b7
--- /dev/null
+++ b/inst/doc/probit.bayes.Rnw
@@ -0,0 +1,289 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/probitBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Probit Regression for Dichotomous Dependent Variable}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, probit,bayes, regression,dichotomous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{\texttt{probit.bayes}: Bayesian Probit Regression}
+
+\label{probit.bayes}
+
+Use the probit regression model for model binary dependent variables
+specified as a function of a set of explanatory variables.  The model
+is estimated using a Gibbs sampler.  For other models suitable for
+binary response variables, see Bayesian logistic
+regression(\Sref{logit.bayes}), maximum likelihood logit regression
+(\Sref{logit}), and maximum likelihood probit regression
+(\Sref{probit}).  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "probit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Using the following arguments to monitor the Markov chains:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE},
+the progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default is 
+\texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number of
+estimated coefficients. The default is \texttt{NA}, such that the
+maximum likelihood estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric
+vector or a scalar. If a scalar value, that value will be the prior
+mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar value, that value times an
+identity matrix will be the prior precision parameter. The default is
+0, which leads to an improper prior.
+\end{itemize}
+
+Use the following arguments to specify optional output for the model:
+\begin{itemize}
+\item \texttt{bayes.resid}: defaults to {\tt FALSE}.  If {\tt TRUE},
+the latent Bayesian residuals for all observations are returned.
+Alternatively, users can specify a vector of observations for which the
+latent residuals should be returned.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCprobit)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<BasicExample.data>>=
+ data(turnout)
+@ 
+Estimating the probit regression using \texttt{probit.bayes}:
+<<BasicExample.zelig>>=
+ z.out <- zelig(vote ~ race + educate, model = "probit.bayes",
+                  data = turnout, verbose = TRUE)
+@ 
+Checking for convergence before summarizing the estimates:
+<<BasicExample.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<BasicExample.heidel>>=
+ heidel.diag(z.out$coefficients)
+@ 
+<<BasicExample.raftery>>= 
+raftery.diag(z.out$coefficients)
+@ 
+<<BasicExample.summary>>= 
+summary(z.out)
+@ \end{verbatim} 
+Setting values for the explanatory variables to their sample averages:
+<<BasicExample.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given:
+\texttt{x.out}
+<<BasicExample.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@ 
+<<BasicExample.summary.sim>>= 
+summary(s.out1)
+@ 
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in individual's probability of
+voting  when education is set to be low (25th percentile) versus 
+high (75th percentile) while all the other variables are held at their 
+default values:
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0.75))
+ x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.25))
+@ 
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+@ 
+<<FirstDifferences.summary>>= 
+summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the binary dependent variable for observation $i$ which
+takes the value of either 0 or 1.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{i}  &  \sim & \textrm{Bernoulli}(\pi_{i})\\
+&  = & \pi_{i}^{Y_{i}}(1-\pi_{i})^{1-Y_{i}},
+\end{eqnarray*}
+where $\pi_{i}=\Pr(Y_{i}=1)$.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\pi_{i}= \Phi(x_i \beta),
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function of the standard
+Normal distribution with mean 0 and variance 1, $x_{i}$ is the vector
+of $k$ explanatory variables for observation $i$, and $\beta$ is the
+vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k \left(  b_{0}, B_{0}^{-1} \right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the probit model are
+the predicted probability of a success:
+\begin{eqnarray*}
+E(Y \mid X) = \pi_{i}= \Phi(x_i \beta),
+\end{eqnarray*}
+given the posterior draws of $\beta$ from the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are draws from the Bernoulli
+distribution with mean equal to the simulated expected value $\pi_{i}$.
+
+\item The first difference (\texttt{qi\$fd}) for the probit model is defined
+as
+\begin{eqnarray*}
+\text{FD}=\Pr(Y=1\mid X_{1})-\Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr})is defined as
+\begin{eqnarray*}
+\text{RR}=\Pr(Y=1\mid X_{1})\ /\ \Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "probit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view 
+a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. 
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+
+\item \texttt{bayes.residuals}: When \texttt{bayes.residual} is \texttt{TRUE}
+or a set of observation numbers is given, this object contains the 
+posterior draws of the latent Bayesian residuals of all the observations 
+or the observations specified by the user. 
+
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values (probabilities) for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values for the specified values
+of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the expected values
+simulated from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+Bayesian probit regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{probit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/probit.bayes.pdf b/inst/doc/probit.bayes.pdf
new file mode 100644
index 0000000..c06dbdc
Binary files /dev/null and b/inst/doc/probit.bayes.pdf differ
diff --git a/inst/doc/probit.bayes.tex b/inst/doc/probit.bayes.tex
new file mode 100644
index 0000000..ec02b93
--- /dev/null
+++ b/inst/doc/probit.bayes.tex
@@ -0,0 +1,300 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Probit Regression for Dichotomous Dependent Variable}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, probit,bayes, regression,dichotomous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{probit.bayes}: Bayesian Probit Regression}
+
+\label{probit.bayes}
+
+Use the probit regression model for model binary dependent variables
+specified as a function of a set of explanatory variables.  The model
+is estimated using a Gibbs sampler.  For other models suitable for
+binary response variables, see Bayesian logistic
+regression(\Sref{logit.bayes}), maximum likelihood logit regression
+(\Sref{logit}), and maximum likelihood probit regression
+(\Sref{probit}).  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "probit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+Using the following arguments to monitor the Markov chains:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of 
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE},
+the progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default is 
+\texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number of
+estimated coefficients. The default is \texttt{NA}, such that the
+maximum likelihood estimates are used as the starting values.
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric
+vector or a scalar. If a scalar value, that value will be the prior
+mean for all the coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar value, that value times an
+identity matrix will be the prior precision parameter. The default is
+0, which leads to an improper prior.
+\end{itemize}
+
+Use the following arguments to specify optional output for the model:
+\begin{itemize}
+\item \texttt{bayes.resid}: defaults to {\tt FALSE}.  If {\tt TRUE},
+the latent Bayesian residuals for all observations are returned.
+Alternatively, users can specify a vector of observations for which the
+latent residuals should be returned.
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCprobit)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(turnout)
+\end{Sinput}
+\end{Schunk}
+Estimating the probit regression using \texttt{probit.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(vote ~ race + educate, model = "probit.bayes", 
++     data = turnout, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given:
+\texttt{x.out}
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Estimating the first difference (and risk ratio) in individual's probability of
+voting  when education is set to be low (25th percentile) versus 
+high (75th percentile) while all the other variables are held at their 
+default values:
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0.75))
+> x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.25))
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+
+Let $Y_{i}$ be the binary dependent variable for observation $i$ which
+takes the value of either 0 or 1.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by
+\begin{eqnarray*}
+Y_{i}  &  \sim & \textrm{Bernoulli}(\pi_{i})\\
+&  = & \pi_{i}^{Y_{i}}(1-\pi_{i})^{1-Y_{i}},
+\end{eqnarray*}
+where $\pi_{i}=\Pr(Y_{i}=1)$.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\pi_{i}= \Phi(x_i \beta),
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the cumulative density function of the standard
+Normal distribution with mean 0 and variance 1, $x_{i}$ is the vector
+of $k$ explanatory variables for observation $i$, and $\beta$ is the
+vector of coefficients.
+
+\item The \emph{prior} for $\beta$ is given by
+\begin{eqnarray*}
+\beta \sim \textrm{Normal}_k \left(  b_{0}, B_{0}^{-1} \right)
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory variables
+and $B_{0}$ is the $k \times k$ precision matrix (the inverse of a
+variance-covariance matrix).
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the probit model are
+the predicted probability of a success:
+\begin{eqnarray*}
+E(Y \mid X) = \pi_{i}= \Phi(x_i \beta),
+\end{eqnarray*}
+given the posterior draws of $\beta$ from the MCMC iterations.
+
+\item The predicted values (\texttt{qi\$pr}) are draws from the Bernoulli
+distribution with mean equal to the simulated expected value $\pi_{i}$.
+
+\item The first difference (\texttt{qi\$fd}) for the probit model is defined
+as
+\begin{eqnarray*}
+\text{FD}=\Pr(Y=1\mid X_{1})-\Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item The risk ratio (\texttt{qi\$rr})is defined as
+\begin{eqnarray*}
+\text{RR}=\Pr(Y=1\mid X_{1})\ /\ \Pr(Y=1\mid X).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\item In conditional prediction models, the average predicted treatment effect
+(\texttt{qi\$att.pr}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-\widehat{Y_{i}(t_{i}=0)}],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "probit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view 
+a default summary of information through \texttt{summary(z.out)}. 
+Other elements available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. 
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+
+\item \texttt{bayes.residuals}: When \texttt{bayes.residual} is \texttt{TRUE}
+or a set of observation numbers is given, this object contains the 
+posterior draws of the latent Bayesian residuals of all the observations 
+or the observations specified by the user. 
+
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected values (probabilities) for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$pr}: the simulated predicted values for the specified values
+of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values for the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$rr}: the simulated risk ratio for the expected values
+simulated from \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\item \texttt{qi\$att.pr}: the simulated average predicted treatment effect
+for the treated from conditional prediction models.
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+Bayesian probit regression \input{contributors2}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{probit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/probit.pdf b/inst/doc/probit.pdf
new file mode 100644
index 0000000..e6287bf
Binary files /dev/null and b/inst/doc/probit.pdf differ
diff --git a/inst/doc/probit.tex b/inst/doc/probit.tex
new file mode 100644
index 0000000..5ae7d19
--- /dev/null
+++ b/inst/doc/probit.tex
@@ -0,0 +1,247 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Probit Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model, probit,regression,dichotomous, binary}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt probit}: Probit Regression for Dichotomous Dependent Variables}\label{probit}
+
+Use probit regression to model binary dependent variables
+specified as a function of a set of explanatory variables.  For a
+Bayesian implementation of this model, see \Sref{probit.bayes}.  
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "probit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out, x1 = NULL)
+\end{verbatim}
+
+\subsubsection{Additional Inputs} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for probit regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE} is
+selected, {\tt zelig()} computes robust standard errors via the {\tt
+sandwich} package (see \cite{Zeileis04}).  The default type of robust
+standard error is heteroskedastic and autocorrelation consistent (HAC),
+and assumes that observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame).  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Examples}
+Attach the sample turnout dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(turnout)
+\end{Sinput}
+\end{Schunk}
+Estimate parameter values for the probit regression:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(vote ~ race + educate, model = "probit", data = turnout)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set values for the explanatory variables to their default values.
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulate quantities of interest from the posterior distribution.
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+
+\subsubsection{Model}
+Let $Y_i$ be the observed binary dependent variable for observation
+$i$ which takes the value of either 0 or 1.
+\begin{itemize}
+\item The \emph{stochastic component} is given by  
+\begin{equation*}
+Y_i \; \sim \; \textrm{Bernoulli}(\pi_i), 
+\end{equation*}
+where $\pi_i=\Pr(Y_i=1)$.
+
+\item The \emph{systematic component} is 
+\begin{equation*}
+  \pi_i \; = \; \Phi (x_i \beta)
+\end{equation*}
+where $\Phi(\mu)$ is the cumulative distribution function of the
+Normal distribution with mean 0 and unit variance.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+
+\item The expected value ({\tt qi\$ev}) is a simulation of predicted
+  probability of success $$E(Y) = \pi_i = \Phi(x_i
+  \beta),$$ given a draw of $\beta$ from its sampling distribution.  
+
+\item The predicted value ({\tt qi\$pr}) is a draw from a Bernoulli
+  distribution with mean $\pi_i$.  
+  
+\item The first difference ({\tt qi\$fd}) in expected values is
+  defined as
+\begin{equation*}
+\textrm{FD} = \Pr(Y = 1 \mid x_1) - \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item The risk ratio ({\tt qi\$rr}) is defined as
+\begin{equation*}
+\textrm{RR} = \Pr(Y = 1 \mid x_1) / \Pr(Y = 1 \mid x).
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "probit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: a vector of the in-sample fitted values.
+   \item {\tt linear.predictors}: a vector of $x_{i}\beta$.  
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt data}: the name of the input data frame.  
+   \end{itemize}
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values, or predicted
+     probabilities, for the specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from the
+     distributions defined by the predicted probabilities.  
+   \item {\tt qi\$fd}: the simulated first differences in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio for the predicted
+     probabilities simulated from {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The probit model is part of the base package by William N. Venables
+and Brian D. Ripley.  Please cite the model as:
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+In addition, advanced users may wish to refer to \texttt{help(glm)}
+and \texttt{help(family)}, as well as \cite{McCNel89}.
+
+Robust standard errors are implemented via the sandwich package
+by Achim Zeileis.  Please cite as
+\begin{verse}
+\bibentry{Zeileis04}.
+\end{verse}
+
+Sample data are a selection of $2,000$ observations from
+\begin{verse}
+\bibentry{KinTomWit00}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
diff --git a/inst/doc/refman.tex b/inst/doc/refman.tex
index 582c27c..10f49c6 100644
--- a/inst/doc/refman.tex
+++ b/inst/doc/refman.tex
@@ -8,22 +8,23 @@ the {\tt setx()} command.  (Occasionally, you may need to use, for example, {\tt
   help page instead of the default Zelig help page.)  
 
 \input{commands/zelig}
-\include{commands/setx}
-\include{commands/sim}
-\include{commands/summary}
-\include{commands/plot.zelig}
+\include{commandsRd/setx}
+\include{commandsRd/sim}
+\include{commandsRd/sim}
+\include{commandsRd/summary}
+\include{commandsRd/plot.zelig}
 \include{commands/print}
-\include{commands/replicate}
+\include{commandsRd/repl}
 
 \chapter{Supplementary Commands}
 
 \input{commands/matchit}
-\include{commands/mi}
-\include{commands/network}
-\include{commands/plot.ci}
-\include{commands/rocplot}
-\include{commands/ternaryplot}
-\include{commands/ternarypoints}
+\include{commandsRd/mi}
+\include{commandsRd/network}
+\include{commandsRd/plot.ci}
+\include{commandsRd/rocplot}
+\include{commandsRd/ternaryplot}
+\include{commandsRd/ternarypoints}
 
 \chapter{Models Zelig Can Run}\label{s:model.details}
 
@@ -83,43 +84,43 @@ of simulations increases.
 %\include{models/3sls}
 %\include{models/sur}
 
-\include{models/arima}
+\include{arima}
 %\include{models/beta}
-\include{models/blogit}
-\include{models/bprobit}
-\include{models/ei.dynamic}
-\include{models/ei.hier}
-\include{models/eiRxC}
-\include{models/exp}
-\include{models/factor.bayes}
-\include{models/factor.mix}
-\include{models/factor.ord}
-\include{models/gamma}
-\include{models/irt1d}
-\include{models/irtkd}
-\include{models/logit}
-\include{models/logit.bayes}
-\include{models/lognormal}
-\include{models/ls}
-\include{models/mlogit}
-\include{models/mlogit.bayes}
-% \include{models/mloglm}
-\include{models/negbin}
-\include{models/netls}
-\include{models/netlogit}
-\include{models/normal}
-\include{models/normal.bayes}
-\include{models/ologit}
-\include{models/oprobit}
-\include{models/oprobit.bayes}
-\include{models/poisson}
-\include{models/poisson.bayes}
-\include{models/probit}
-\include{models/probit.bayes}
-\include{models/relogit}
-\include{models/tobit}
-\include{models/tobit.bayes}
-\include{models/weibull}
+\include{blogit}
+\include{bprobit}
+\include{ei.dynamic}
+\include{ei.hier}
+\include{ei.RxC}
+\include{exp}
+\include{factor.bayes}
+\include{factor.mix}
+\include{factor.ord}
+\include{gamma}
+\include{irt1d}
+\include{irtkd}
+\include{logit}
+\include{logit.bayes}
+\include{lognorm}
+\include{ls}
+\include{mlogit}
+\include{mlogit.bayes}
+\include{mloglm}
+\include{negbin}
+\include{netls}
+\include{netlogit}
+\include{normal}
+\include{normal.bayes}
+\include{ologit}
+\include{oprobit}
+\include{oprobit.bayes}
+\include{poisson}
+\include{poisson.bayes}
+\include{probit}
+\include{probit.bayes}
+\include{relogit}
+\include{tobit}
+\include{tobit.bayes}
+\include{weibull}
 
 \chapter{Commands for Programmers and Contributors}
 
diff --git a/inst/doc/relogit.Rnw b/inst/doc/relogit.Rnw
new file mode 100644
index 0000000..2019214
--- /dev/null
+++ b/inst/doc/relogit.Rnw
@@ -0,0 +1,433 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/relogit}
+\include{zinput}
+%\VignetteIndexEntry{Rare Events Logistic Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,logistic,regression,dichotomous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt relogit}: Rare Events Logistic Regression for
+Dichotomous Dependent Variables}
+\label{relogit}
+
+The {\tt relogit} procedure estimates the same model as standard
+logistic regression (appropriate when you have a dichotomous dependent
+variable and a set of explanatory variables; see \Sref{logit}), but
+the estimates are corrected for the bias that occurs when the
+sample is small or the observed events are rare (i.e., if the
+dependent variable has many more 1s than 0s or the reverse).  The {\tt
+  relogit} procedure also optionally uses prior correction for
+case-control sampling designs.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "relogit", tau = NULL,
+                 case.correct = c("prior", "weighting"), 
+                 bias.correct = TRUE, robust = FALSE, 
+                 data = mydata, ...)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Arguments}
+
+The {\tt relogit} procedure supports four optional arguments in
+addition to the standard arguments for {\tt zelig()}.  You may
+additionally use:  
+\begin{itemize}
+\item {\tt tau}: a vector containing either one or two values for
+  $\tau$, the true population fraction of ones.  Use, for example,
+  {\tt tau = c(0.05, 0.1)} to specify that the lower bound on {\tt
+  tau} is 0.05 and the upper bound is 0.1.  If left unspecified, only
+finite-sample bias correction is performed, not case-control correction.
+\item {\tt case.correct}: if {\tt tau} is specified, choose a method
+to correct for case-control sampling design: {\tt "prior"} (default)
+or {\tt "weighting"}.   
+\item {\tt bias.correct}: a logical value of {\tt TRUE} (default) or
+  {\tt FALSE} indicating whether the intercept should be corrected for
+  finite sample (rare events) bias.
+\item {\tt robust}:  defaults to {\tt FALSE} (except when {\tt
+case.control = "weighting"}; the default in this case becomes {\tt
+robust = TRUE}). If {\tt TRUE} is selected, {\tt zelig()} computes
+robust standard errors via the {\tt sandwich} package (see
+\cite{Zeileis04}).  The default type of robust standard error is
+heteroskedastic and autocorrelation consistent (HAC), and assumes that
+observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame)  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+Note that if {\tt tau = NULL, bias.correct = FALSE, robust = FALSE},
+the {\tt relogit} procedure performs a standard logistic regression
+without any correction.
+
+\subsubsection*{Example 1: One Tau with Prior Correction and Bias Correction}
+
+Due to memory and space considerations, the data used here are a
+sample drawn from the full data set used in King and Zeng,
+2001,\nocite{KinZen01b}  The proportion of militarized interstate
+conflicts to the absence of disputes is $\tau = 1,042 / 303,772
+\approx 0.00343$.  To estimate the model,
+<<Example1.data>>=
+ data(mid)
+@ 
+<<Example1.zelig>>=
+ z.out1 <- zelig(conflict ~ major + contig + power + maxdem + mindem + years,
+                  data = mid, model = "relogit", tau = 1042/303772)
+@ 
+Summarize the model output:  
+<<Example1.summary>>=
+ summary(z.out1)
+@ 
+Set the explanatory variables to their means:  
+<<Example1.setx>>=
+ x.out1 <- setx(z.out1)
+@ 
+Simulate quantities of interest:
+<<Example1.sim>>=
+ s.out1 <- sim(z.out1, x = x.out1)
+ summary(s.out1)
+@
+\begin{center} 
+<<label=Example1Plot,fig=true,echo=true>>= 
+ plot(s.out1)
+@ 
+\end{center}
+
+\subsubsection*{Example 2: One Tau with Weighting, Robust Standard
+Errors, and Bias Correction} 
+
+Suppose that we wish to perform case control correction using
+weighting (rather than the default prior correction).  To
+estimate the model:  
+<<Example2.zelig>>= 
+
+ z.out2 <- zelig(conflict ~ major + contig + power + maxdem + mindem + years,
+                  data = mid, model = "relogit", tau = 1042/303772, 
+                  case.control = "weighting", robust = TRUE)
+@ 
+Summarize the model output:  
+<<Example2.summary>>= 
+ summary(z.out2)
+@ 
+Set the explanatory variables to their means:  
+<<Example2.setx>>= 
+ x.out2 <- setx(z.out2)
+@ 
+Simulate quantities of interest:
+<<Example2.sim>>= 
+ s.out2 <- sim(z.out2, x = x.out2)
+ summary(s.out2)
+@ 
+
+\subsubsection*{Example 3: Two Taus with Bias Correction and Prior Correction}
+
+Suppose that we did not know that $\tau \approx 0.00343$, but only
+that it was somewhere between $(0.002, 0.005)$.  To estimate a model
+with a range of feasible estimates for $\tau$ (using the default prior
+correction method for case control correction):
+<<Example3.zelig>>= 
+ z.out2 <- zelig(conflict ~ major + contig + power + maxdem + mindem 
+                  + years, data = mid, model = "relogit", 
+                  tau = c(0.002, 0.005))
+@ 
+Summarize the model output:  
+<<Example3.summary>>= 
+ summary(z.out2)
+@ 
+Set the explanatory variables to their means:  
+<<Example3.setx>>= 
+ x.out2 <- setx(z.out2)
+@ 
+Simulate quantities of interest:
+<<Example3.sim>>= 
+ s.out <- sim(z.out2, x = x.out2)
+@ 
+<<Example3.summary.sim>>=  
+summary(s.out2)
+@ 
+\begin{center}
+<<label=Example3Plot,fig=true,echo=true>>= 
+ plot(s.out2)
+@ 
+\end{center}
+The cost of giving a range of values for $\tau$ is that point
+estimates are not available for quantities of interest.  Instead,
+quantities are presented as confidence intervals with significance
+less than or equal to a specified level (e.g., at least 95\% of the
+simulations are contained in the nominal 95\% confidence interval).  
+
+\subsubsection{Model}
+
+\begin{itemize}
+\item Like the standard logistic regression, the \emph{stochastic
+    component} for the rare events logistic regression is:
+\begin{equation*}
+  Y_i \; \sim \; \textrm{Bernoulli}(\pi_i), 
+\end{equation*}
+where $Y_i$ is the binary dependent variable, and takes a value of
+either 0 or 1.
+
+\item The \emph{systematic component} is: 
+  \begin{equation*}
+    \pi_i \; = \; \frac{1}{1 + \exp(-x_i \beta)}.
+  \end{equation*}
+
+
+\item If the sample is generated via a case-control (or choice-based)
+  design, such as when drawing all events (or ``cases'') and a sample
+  from the non-events (or ``controls'') and going backwards to collect
+  the explanatory variables, you must correct for selecting on the
+  dependent variable.  While the slope coefficients are approximately
+  unbiased, the constant term may be significantly biased.  Zelig has
+two methods for case control correction:  
+\begin{enumerate}
+\item The ``prior correction'' method 
+adjusts the intercept term.  Let $\tau$ be the true population
+fraction of events, $\bar{y}$ the fraction of events in the sample,
+and $\hat{\beta_0}$ the uncorrected intercept term.  The corrected
+intercept $\beta_0$ is:
+\begin{equation*}
+\beta =  \hat{\beta_0} - \ln \left[ \bigg( \frac{1 - \tau}{\tau}
+  \bigg) \bigg( \frac{\bar{y}}{1 - \bar{y}} \bigg) \right].
+\end{equation*}
+
+\item The ``weighting'' method performs a weighted logistic regression to
+correct for a case-control sampling design.  Let the 1 subscript
+denote observations for which the dependent variable is observed as a
+1, and the 0 subscript denote observations for which the dependent
+variable is observed as a 0.  Then the vector of weights $w_i$
+\begin{eqnarray*}
+w_1 &=& \frac{\tau}{\bar{y}} \\
+w_0 &=& \frac{(1 - \tau)}{(1 - \bar{y})} \\
+w_i &=& w_1 Y_i + w_0 (1 - Y_i)
+\end{eqnarray*} 
+\end{enumerate}
+  If $\tau$ is unknown, you may alternatively specify an upper and
+  lower bound for the possible range of $\tau$.  In this case, the
+  {\tt relogit} procedure uses ``robust Bayesian'' methods to generate
+  a confidence interval (rather than a point estimate) for each
+  quantity of interest.  The nominal coverage of the confidence
+  interval is at least as great as the actual coverage.
+  
+\item By default, estimates of the the coefficients $\beta$ are
+  bias-corrected to account for finite sample or rare events bias.  In
+  addition, quantities of interest, such as predicted probabilities,
+  are also corrected of rare-events bias.  If $\widehat{\beta}$ are
+the uncorrected logit coefficients and bias($\widehat{\beta}$) is the
+bias term, the corrected coefficients $\tilde{\beta}$ are
+\begin{equation*}
+\widehat{\beta} - \textrm{bias}(\widehat{\beta}) = \tilde{\beta}
+\end{equation*}
+The bias term is
+\begin{equation*}
+\textrm{bias}(\widehat{\beta}) = (X'WX)^{-1} X'W \xi
+\end{equation*}
+where
+\begin{eqnarray*}
+\xi_i &=& 0.5 Q_{ii} \Big( (1 + w-1)\widehat{\pi}_i - w_1 \Big) \\
+Q &=& X(X'WX)^{-1} X' \\
+W = \textrm{diag}\{\widehat{\pi}_i (1 - \widehat{\pi}_i) w_i\}
+\end{eqnarray*}
+where $w_i$ and $w_1$ are given in the ``weighting'' section above.  
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item For either one or no $\tau$:  
+  \begin{itemize}
+  \item The expected values ({\tt qi\$ev}) for the rare events logit
+    are simulations of the predicted probability $$E(Y) = \pi_i =
+    \frac{1}{1 + \exp(-x_i \beta)},$$
+    given draws of $\beta$ from its posterior.
+  \item The predicted value ({\tt qi\$pr}) is a draw from a binomial
+    distribution with mean equal to the simulated $\pi_i$.  
+  \item The first difference ({\tt qi\$fd}) is defined as
+   \begin{equation*}
+   \textrm{FD} = \Pr(Y = 1 \mid x_1, \tau) - \Pr(Y = 1 \mid x, \tau).
+   \end{equation*}
+  \item The risk ratio ({\tt qi\$rr}) is defined as
+   \begin{equation*}
+   \textrm{RR} = \Pr(Y = 1 \mid x_1, \tau) \ / \ \Pr(Y = 1 \mid x, \tau).
+   \end{equation*}
+   \end{itemize}
+ \item For a range of $\tau$ defined by $[\tau_1, \tau_2]$, each of
+   the quantities of interest are $n \times 2$ matrices, which report
+   the lower and upper bounds, respectively, for a confidence interval
+   with nominal coverage at least as great as the actual coverage.  At
+   worst, these bounds are conservative estimates for the likely range
+   for each quantity of interest.  Please refer to \hlink{King and
+     Zeng
+     (2002)}{http://gking.harvard.edu/files/1s.pdf}\nocite{KinZen02b}
+   for the specific method of calculating bounded quantities of
+   interest.
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "relogit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt bias.correct}: {\tt TRUE} if bias correction was
+selected, else {\tt FALSE}.  
+    \item {\tt prior.correct}: {\tt TRUE} if prior correction was
+selected, else {\tt FALSE}. 
+    \item {\tt weighting}: {\tt TRUE} if weighting was selected, else
+{\tt FALSE}.  
+    \item {\tt tau}:  the value of {\tt tau} for which case control
+correction was implemented.  
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: the vector of fitted values for the
+     systemic component, $\pi_i$.
+   \item {\tt linear.predictors}: the vector of $x_{i} \beta$
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+   Note that for a range of $\tau$, each of the above items may be
+   extracted from the {\tt "lower.estimate"} and {\tt
+     "upper.estimate"} objects in your {\tt zelig} output.  Use {\tt
+     lower <- z.out\$lower.estimate}, and then {\tt
+     lower\$coefficients} to extract the coefficients for the
+   empirical estimate generated for the smaller of the two $\tau$.
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values, or predicted
+     probabilities, for the specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from Binomial
+     distributions given the predicted probabilities.  
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio for the predicted
+     probabilities simulated from {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Differences with Stata Version}
+The Stata version of ReLogit and the R implementation differ slightly
+in their coefficient estimates due to differences in the matrix
+inversion routines implemented in R and Stata.  Zelig uses
+orthogonal-triangular decomposition (through {\tt lm.influence()}) to
+compute the bias term, which is more numerically stable than
+standard matrix calculations.
+
+\subsubsection{Contributors}
+
+Please cite the rare events logit model as:
+\begin{verse}
+\bibentry{KinZen01b}.
+\end{verse}
+\begin{verse}
+\bibentry{KinZen01}.
+\end{verse} 
+\begin{verse}
+\bibentry{KinZen02b}.
+\end{verse}
+
+Sample data are a selection of observations from 
+\begin{verse}
+\bibentry{KinZen01b}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/relogit.pdf b/inst/doc/relogit.pdf
new file mode 100644
index 0000000..68e2ecd
Binary files /dev/null and b/inst/doc/relogit.pdf differ
diff --git a/inst/doc/relogit.tex b/inst/doc/relogit.tex
new file mode 100644
index 0000000..9cae9ee
--- /dev/null
+++ b/inst/doc/relogit.tex
@@ -0,0 +1,453 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Rare Events Logistic Regression for Dichotomous Dependent Variables}
+%\VignetteDepends{Zelig}
+%\VignetteKeyWords{model,logistic,regression,dichotomous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt relogit}: Rare Events Logistic Regression for
+Dichotomous Dependent Variables}
+\label{relogit}
+
+The {\tt relogit} procedure estimates the same model as standard
+logistic regression (appropriate when you have a dichotomous dependent
+variable and a set of explanatory variables; see \Sref{logit}), but
+the estimates are corrected for the bias that occurs when the
+sample is small or the observed events are rare (i.e., if the
+dependent variable has many more 1s than 0s or the reverse).  The {\tt
+  relogit} procedure also optionally uses prior correction for
+case-control sampling designs.  
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "relogit", tau = NULL,
+                 case.correct = c("prior", "weighting"), 
+                 bias.correct = TRUE, robust = FALSE, 
+                 data = mydata, ...)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Arguments}
+
+The {\tt relogit} procedure supports four optional arguments in
+addition to the standard arguments for {\tt zelig()}.  You may
+additionally use:  
+\begin{itemize}
+\item {\tt tau}: a vector containing either one or two values for
+  $\tau$, the true population fraction of ones.  Use, for example,
+  {\tt tau = c(0.05, 0.1)} to specify that the lower bound on {\tt
+  tau} is 0.05 and the upper bound is 0.1.  If left unspecified, only
+finite-sample bias correction is performed, not case-control correction.
+\item {\tt case.correct}: if {\tt tau} is specified, choose a method
+to correct for case-control sampling design: {\tt "prior"} (default)
+or {\tt "weighting"}.   
+\item {\tt bias.correct}: a logical value of {\tt TRUE} (default) or
+  {\tt FALSE} indicating whether the intercept should be corrected for
+  finite sample (rare events) bias.
+\item {\tt robust}:  defaults to {\tt FALSE} (except when {\tt
+case.control = "weighting"}; the default in this case becomes {\tt
+robust = TRUE}). If {\tt TRUE} is selected, {\tt zelig()} computes
+robust standard errors via the {\tt sandwich} package (see
+\cite{Zeileis04}).  The default type of robust standard error is
+heteroskedastic and autocorrelation consistent (HAC), and assumes that
+observations are ordered by time index.
+
+In addition, {\tt robust} may be a list with the following options:  
+\begin{itemize}
+\item {\tt method}:  Choose from 
+\begin{itemize}
+\item {\tt "vcovHAC"}: (default if {\tt robust = TRUE}) HAC standard
+errors. 
+\item {\tt "kernHAC"}: HAC standard errors using the
+weights given in \cite{Andrews91}. 
+\item {\tt "weave"}: HAC standard errors using the
+weights given in \cite{LumHea99}.  
+\end{itemize}  
+\item {\tt order.by}: defaults to {\tt NULL} (the observations are
+chronologically ordered as in the original data).  Optionally, you may
+specify a vector of weights (either as {\tt order.by = z}, where {\tt
+z} exists outside the data frame; or as {\tt order.by = \~{}z}, where
+{\tt z} is a variable in the data frame)  The observations are
+chronologically ordered by the size of {\tt z}.
+\item {\tt \dots}:  additional options passed to the functions 
+specified in {\tt method}.   See the {\tt sandwich} library and
+\cite{Zeileis04} for more options.   
+\end{itemize}
+\end{itemize}
+Note that if {\tt tau = NULL, bias.correct = FALSE, robust = FALSE},
+the {\tt relogit} procedure performs a standard logistic regression
+without any correction.
+
+\subsubsection*{Example 1: One Tau with Prior Correction and Bias Correction}
+
+Due to memory and space considerations, the data used here are a
+sample drawn from the full data set used in King and Zeng,
+2001,\nocite{KinZen01b}  The proportion of militarized interstate
+conflicts to the absence of disputes is $\tau = 1,042 / 303,772
+\approx 0.00343$.  To estimate the model,
+\begin{Schunk}
+\begin{Sinput}
+> data(mid)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> z.out1 <- zelig(conflict ~ major + contig + power + maxdem + 
++     mindem + years, data = mid, model = "relogit", tau = 1042/303772)
+\end{Sinput}
+\end{Schunk}
+Summarize the model output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out1)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out1 <- setx(z.out1)
+\end{Sinput}
+\end{Schunk}
+Simulate quantities of interest:
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out1, x = x.out1)
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\begin{center} 
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out1)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/relogit-Example1Plot}
+\end{center}
+
+\subsubsection*{Example 2: One Tau with Weighting, Robust Standard
+Errors, and Bias Correction} 
+
+Suppose that we wish to perform case control correction using
+weighting (rather than the default prior correction).  To
+estimate the model:  
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(conflict ~ major + contig + power + maxdem + 
++     mindem + years, data = mid, model = "relogit", tau = 1042/303772, 
++     case.control = "weighting", robust = TRUE)
+\end{Sinput}
+\end{Schunk}
+Summarize the model output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out2)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out2 <- setx(z.out2)
+\end{Sinput}
+\end{Schunk}
+Simulate quantities of interest:
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out2, x = x.out2)
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+
+\subsubsection*{Example 3: Two Taus with Bias Correction and Prior Correction}
+
+Suppose that we did not know that $\tau \approx 0.00343$, but only
+that it was somewhere between $(0.002, 0.005)$.  To estimate a model
+with a range of feasible estimates for $\tau$ (using the default prior
+correction method for case control correction):
+\begin{Schunk}
+\begin{Sinput}
+> z.out2 <- zelig(conflict ~ major + contig + power + maxdem + 
++     mindem + years, data = mid, model = "relogit", tau = c(0.002, 
++     0.005))
+\end{Sinput}
+\end{Schunk}
+Summarize the model output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out2)
+\end{Sinput}
+\end{Schunk}
+Set the explanatory variables to their means:  
+\begin{Schunk}
+\begin{Sinput}
+> x.out2 <- setx(z.out2)
+\end{Sinput}
+\end{Schunk}
+Simulate quantities of interest:
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out2, x = x.out2)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out2)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/relogit-Example3Plot}
+\end{center}
+The cost of giving a range of values for $\tau$ is that point
+estimates are not available for quantities of interest.  Instead,
+quantities are presented as confidence intervals with significance
+less than or equal to a specified level (e.g., at least 95\% of the
+simulations are contained in the nominal 95\% confidence interval).  
+
+\subsubsection{Model}
+
+\begin{itemize}
+\item Like the standard logistic regression, the \emph{stochastic
+    component} for the rare events logistic regression is:
+\begin{equation*}
+  Y_i \; \sim \; \textrm{Bernoulli}(\pi_i), 
+\end{equation*}
+where $Y_i$ is the binary dependent variable, and takes a value of
+either 0 or 1.
+
+\item The \emph{systematic component} is: 
+  \begin{equation*}
+    \pi_i \; = \; \frac{1}{1 + \exp(-x_i \beta)}.
+  \end{equation*}
+
+
+\item If the sample is generated via a case-control (or choice-based)
+  design, such as when drawing all events (or ``cases'') and a sample
+  from the non-events (or ``controls'') and going backwards to collect
+  the explanatory variables, you must correct for selecting on the
+  dependent variable.  While the slope coefficients are approximately
+  unbiased, the constant term may be significantly biased.  Zelig has
+two methods for case control correction:  
+\begin{enumerate}
+\item The ``prior correction'' method 
+adjusts the intercept term.  Let $\tau$ be the true population
+fraction of events, $\bar{y}$ the fraction of events in the sample,
+and $\hat{\beta_0}$ the uncorrected intercept term.  The corrected
+intercept $\beta_0$ is:
+\begin{equation*}
+\beta =  \hat{\beta_0} - \ln \left[ \bigg( \frac{1 - \tau}{\tau}
+  \bigg) \bigg( \frac{\bar{y}}{1 - \bar{y}} \bigg) \right].
+\end{equation*}
+
+\item The ``weighting'' method performs a weighted logistic regression to
+correct for a case-control sampling design.  Let the 1 subscript
+denote observations for which the dependent variable is observed as a
+1, and the 0 subscript denote observations for which the dependent
+variable is observed as a 0.  Then the vector of weights $w_i$
+\begin{eqnarray*}
+w_1 &=& \frac{\tau}{\bar{y}} \\
+w_0 &=& \frac{(1 - \tau)}{(1 - \bar{y})} \\
+w_i &=& w_1 Y_i + w_0 (1 - Y_i)
+\end{eqnarray*} 
+\end{enumerate}
+  If $\tau$ is unknown, you may alternatively specify an upper and
+  lower bound for the possible range of $\tau$.  In this case, the
+  {\tt relogit} procedure uses ``robust Bayesian'' methods to generate
+  a confidence interval (rather than a point estimate) for each
+  quantity of interest.  The nominal coverage of the confidence
+  interval is at least as great as the actual coverage.
+  
+\item By default, estimates of the the coefficients $\beta$ are
+  bias-corrected to account for finite sample or rare events bias.  In
+  addition, quantities of interest, such as predicted probabilities,
+  are also corrected of rare-events bias.  If $\widehat{\beta}$ are
+the uncorrected logit coefficients and bias($\widehat{\beta}$) is the
+bias term, the corrected coefficients $\tilde{\beta}$ are
+\begin{equation*}
+\widehat{\beta} - \textrm{bias}(\widehat{\beta}) = \tilde{\beta}
+\end{equation*}
+The bias term is
+\begin{equation*}
+\textrm{bias}(\widehat{\beta}) = (X'WX)^{-1} X'W \xi
+\end{equation*}
+where
+\begin{eqnarray*}
+\xi_i &=& 0.5 Q_{ii} \Big( (1 + w-1)\widehat{\pi}_i - w_1 \Big) \\
+Q &=& X(X'WX)^{-1} X' \\
+W = \textrm{diag}\{\widehat{\pi}_i (1 - \widehat{\pi}_i) w_i\}
+\end{eqnarray*}
+where $w_i$ and $w_1$ are given in the ``weighting'' section above.  
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item For either one or no $\tau$:  
+  \begin{itemize}
+  \item The expected values ({\tt qi\$ev}) for the rare events logit
+    are simulations of the predicted probability $$E(Y) = \pi_i =
+    \frac{1}{1 + \exp(-x_i \beta)},$$
+    given draws of $\beta$ from its posterior.
+  \item The predicted value ({\tt qi\$pr}) is a draw from a binomial
+    distribution with mean equal to the simulated $\pi_i$.  
+  \item The first difference ({\tt qi\$fd}) is defined as
+   \begin{equation*}
+   \textrm{FD} = \Pr(Y = 1 \mid x_1, \tau) - \Pr(Y = 1 \mid x, \tau).
+   \end{equation*}
+  \item The risk ratio ({\tt qi\$rr}) is defined as
+   \begin{equation*}
+   \textrm{RR} = \Pr(Y = 1 \mid x_1, \tau) \ / \ \Pr(Y = 1 \mid x, \tau).
+   \end{equation*}
+   \end{itemize}
+ \item For a range of $\tau$ defined by $[\tau_1, \tau_2]$, each of
+   the quantities of interest are $n \times 2$ matrices, which report
+   the lower and upper bounds, respectively, for a confidence interval
+   with nominal coverage at least as great as the actual coverage.  At
+   worst, these bounds are conservative estimates for the likely range
+   for each quantity of interest.  Please refer to \hlink{King and
+     Zeng
+     (2002)}{http://gking.harvard.edu/files/1s.pdf}\nocite{KinZen02b}
+   for the specific method of calculating bounded quantities of
+   interest.
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the treatment
+    ($t_i=1$) and control ($t_i=0$) groups.  Variation in the
+    simulations are due to uncertainty in simulating $E[Y_i(t_i=0)]$,
+    the counterfactual expected value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  Variation in
+    the simulations are due to uncertainty in simulating
+    $\widehat{Y_i(t_i=0)}$, the counterfactual predicted value of
+    $Y_i$ for observations in the treatment group, under the
+    assumption that everything stays the same except that the
+    treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "relogit", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may
+  extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt bias.correct}: {\tt TRUE} if bias correction was
+selected, else {\tt FALSE}.  
+    \item {\tt prior.correct}: {\tt TRUE} if prior correction was
+selected, else {\tt FALSE}. 
+    \item {\tt weighting}: {\tt TRUE} if weighting was selected, else
+{\tt FALSE}.  
+    \item {\tt tau}:  the value of {\tt tau} for which case control
+correction was implemented.  
+   \item {\tt residuals}: the working residuals in the final iteration
+     of the IWLS fit.
+   \item {\tt fitted.values}: the vector of fitted values for the
+     systemic component, $\pi_i$.
+   \item {\tt linear.predictors}: the vector of $x_{i} \beta$
+   \item {\tt aic}: Akaike's Information Criterion (minus twice the
+     maximized log-likelihood plus twice the number of coefficients).
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+   Note that for a range of $\tau$, each of the above items may be
+   extracted from the {\tt "lower.estimate"} and {\tt
+     "upper.estimate"} objects in your {\tt zelig} output.  Use {\tt
+     lower <- z.out\$lower.estimate}, and then {\tt
+     lower\$coefficients} to extract the coefficients for the
+   empirical estimate generated for the smaller of the two $\tau$.
+
+\item From {\tt summary(z.out)}, you may extract: 
+   \begin{itemize}
+   \item {\tt coefficients}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \item{\tt cov.scaled}: a $k \times k$ matrix of scaled covariances.
+   \item{\tt cov.unscaled}: a $k \times k$ matrix of unscaled
+     covariances.  
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values, or predicted
+     probabilities, for the specified values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from Binomial
+     distributions given the predicted probabilities.  
+   \item {\tt qi\$fd}: the simulated first difference in the predicted
+     probabilities for the values specified in {\tt x} and {\tt x1}.
+   \item {\tt qi\$rr}: the simulated risk ratio for the predicted
+     probabilities simulated from {\tt x} and {\tt x1}.
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Differences with Stata Version}
+The Stata version of ReLogit and the R implementation differ slightly
+in their coefficient estimates due to differences in the matrix
+inversion routines implemented in R and Stata.  Zelig uses
+orthogonal-triangular decomposition (through {\tt lm.influence()}) to
+compute the bias term, which is more numerically stable than
+standard matrix calculations.
+
+\subsubsection{Contributors}
+
+Please cite the rare events logit model as:
+\begin{verse}
+\bibentry{KinZen01b}.
+\end{verse}
+\begin{verse}
+\bibentry{KinZen01}.
+\end{verse} 
+\begin{verse}
+\bibentry{KinZen02b}.
+\end{verse}
+
+Sample data are a selection of observations from 
+\begin{verse}
+\bibentry{KinZen01b}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+ \end{document}
diff --git a/inst/doc/runSweave.sh b/inst/doc/runSweave.sh
new file mode 100755
index 0000000..4c9263b
--- /dev/null
+++ b/inst/doc/runSweave.sh
@@ -0,0 +1,11 @@
+#!/bin/sh
+
+#
+# run Sweave() in all of Rnw files
+# 
+#
+
+for f in `ls *.Rnw`
+do
+    echo "Sweave(\"$f\")" | R --vanilla --slave
+done
diff --git a/inst/doc/tobit.Rnw b/inst/doc/tobit.Rnw
new file mode 100644
index 0000000..6115c44
--- /dev/null
+++ b/inst/doc/tobit.Rnw
@@ -0,0 +1,232 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/tobit}
+\include{zinput}
+%\VignetteIndexEntry{Linear regression for Left-Censored Dependet Variable}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model, linear,regression,left-censored,continuous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{\texttt{tobit}: Linear Regression for a
+Left-Censored Dependent Variable} \label{tobit}
+
+Tobit regression estimates a linear regression model for a
+left-censored dependent variable, where the dependent variable is
+censored from below.  While the classical tobit model has values
+censored at 0, you may select another censoring point.  For other
+linear regression models with fully observed dependent variables, see
+Bayesian regression (\Sref{normal.bayes}), maximum likelihood normal
+regression (\Sref{normal}), or least squares (\Sref{ls}).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, below = 0, above = Inf, 
+                  model = "tobit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments to specify how the
+dependent variable is censored.
+\begin{itemize}
+\item \texttt{below}: (defaults to 0)  The point at which the dependent
+variable is censored from below.  If any values in the dependent
+variable are observed to be less than the censoring point, it is
+assumed that that particular observation is censored from below at the
+observed value.  (See \Sref{tobit.bayes} for a Bayesian
+implementation that supports both left and right censoring.) 
+ \item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) and the options selected in
+{\tt cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "tobit", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(survreg)} for more 
+information.
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<Examples.data>>=
+ data(tobin)
+@ 
+Estimating linear regression using \texttt{tobit}:
+<<Examples.zelig>>=
+ z.out <- zelig(durable ~ age + quant, model = "tobit", data = tobin)
+@ 
+Setting values for the explanatory variables to their sample averages:
+<<Examples.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+<<Examples.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@ 
+<<Examples.summary.sim>>= 
+summary(s.out1)
+@ 
+\item {Simulating First Differences} \\
+Set explanatory variables to their default(mean/mode) values, with high
+(80th percentile) and low (20th percentile) liquidity ratio (\texttt{quant}):
+
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out, quant = quantile(tobin$quant, prob = 0.8))
+ x.low <- setx(z.out, quant = quantile(tobin$quant, prob = 0.2))
+@ 
+Estimating the first difference for the effect of
+high versus low liquidity ratio on duration(\texttt{durable}):
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+@ 
+<<FirstDifferences.sim.summary>>= 
+summary(s.out2)
+@ 
+\end{enumerate} 
+
+\subsubsection{Model}
+\begin{itemize} 
+\item Let $Y_i^*$ be a latent dependent variable which is distributed with
+\emph{stochastic} component
+\begin{eqnarray*}
+Y_i^* & \sim & \textrm{Normal}(\mu_i, \sigma^2) \\
+\end{eqnarray*}
+where $\mu_i$ is a vector means and $\sigma^2$ is a scalar variance
+parameter.  $Y_i^*$ is not directly observed, however.  Rather we
+observed $Y_i$ which is defined as:  
+\begin{equation*}
+Y_i = \left\{
+\begin{array}{lcl}
+Y_i^*  &\textrm{if} & c <Y_i^* \\
+c    &\textrm{if} & c \ge Y_i^* 
+\end{array}\right.
+\end{equation*}
+where $c$ is the lower bound below which $Y_i^*$ is censored.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_{i} &=& x_{i} \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for
+observation $i$ and $\beta$ is the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the tobit regression
+model are the same as the expected value of $Y*$:  
+\begin{equation*}
+E(Y^* | X) = \mu_{i} = x_{i} \beta
+\end{equation*}
+
+\item The first difference (\texttt{qi\$fd}) for the tobit regression
+model is defined as
+\begin{eqnarray*}
+\text{FD}=E(Y^* \mid x_{1}) - E(Y^* \mid x).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[E[Y^*_{i}(t_{i}=1)]-E[Y^*_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "tobit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. The first $k$ columns contain the posterior draws
+of the coefficients $\beta$, and the last column contains the posterior draws 
+of the variance $\sigma^2$.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected value for the specified
+  values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+  values given the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment
+  effect for the treated from conditional prediction models.
+
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The tobit function is part of the survival library by Terry
+Therneau, ported to R by Thomas Lumley.  Advanced users may wish to
+refer to \texttt{help(survfit)} in the survival library and
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality. 
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/tobit.bayes.Rnw b/inst/doc/tobit.bayes.Rnw
new file mode 100644
index 0000000..c5c9c75
--- /dev/null
+++ b/inst/doc/tobit.bayes.Rnw
@@ -0,0 +1,295 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/tobitBayes}
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Linear Regression for a Censored Dependent Variable}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, linear,bayes,regression,censored,continuous}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{\texttt{tobit.bayes}: Bayesian Linear Regression for a
+Censored Dependent Variable} \label{tobit.bayes}
+
+Bayesian tobit regression estimates a linear regression model with a
+censored dependent variable using a Gibbs sampler.  The dependent
+variable may be censored from below and/or from above.  For other
+linear regression models with fully observed dependent variables, see
+Bayesian regression (\Sref{normal.bayes}), maximum likelihood normal
+regression (\Sref{normal}), or least squares (\Sref{ls}).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, below = 0, above = Inf, 
+                  model = "tobit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments to specify how the
+dependent variable is censored.
+\begin{itemize}
+\item \texttt{below}: point at which the dependent variable is censored
+from below. If the dependent variable is only censored from above, set 
+\texttt{below = -Inf}. The default value is 0.
+\item \texttt{above}: point at which the dependent variable is censored
+from above. If the dependent variable is only censored from below, set 
+\texttt{above = Inf}. The default value is \texttt{Inf}.
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+Use the following arguments to monitor the convergence of the Markov
+chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE},
+the progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default is 
+\texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number 
+of estimated coefficients. The default is \texttt{NA}, such that the
+least squares estimates are used as the starting values.  
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric
+vector or a scalar. If a scalar, that value will be the prior mean for
+all coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0, which
+leads to an improper prior.
+
+\item \texttt{c0}: \texttt{c0/2} is the shape parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\item \texttt{d0}: \texttt{d0/2} is the scale parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCtobit)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+<<Examples.data>>=
+ data(tobin)
+@ 
+Estimating linear regression using \texttt{tobit.bayes}:
+<<Examples.zelig>>=
+ z.out <- zelig(durable ~ age + quant, model = "tobit.bayes",
+                  data = tobin, verbose=TRUE)
+@ 
+Checking for convergence before summarizing the estimates:
+<<Examples.geweke>>=
+ geweke.diag(z.out$coefficients)
+@ 
+<<Examples.heidel>>= 
+heidel.diag(z.out$coefficients)
+@ 
+<<Examples.raftery>>= 
+raftery.diag(z.out$coefficients)
+@ 
+<<Examples.summary>>= 
+summary(z.out)
+@ 
+Setting values for the explanatory variables to their sample averages:
+<<Examples.setx>>=
+ x.out <- setx(z.out)
+@ 
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+<<Examples.sim>>=
+ s.out1 <- sim(z.out, x = x.out)
+@ 
+<<Examples.summary.sim>>= 
+summary(s.out1)
+@ 
+\item {Simulating First Differences} \\
+Set explanatory variables to their default(mean/mode) values, with high
+(80th percentile) and low (20th percentile) liquidity ratio (\texttt{quant}):
+
+<<FirstDifferences.setx>>=
+ x.high <- setx(z.out, quant = quantile(tobin$quant, prob = 0.8))
+ x.low <- setx(z.out, quant = quantile(tobin$quant, prob = 0.2))
+@ 
+Estimating the first difference for the effect of
+high versus low liquidity ratio on duration(\texttt{durable}):
+<<FirstDifferences.sim>>=
+ s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+@ 
+<<FirstDifferences.summary>>= 
+summary(s.out2)
+@ 
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i^*$ be the dependent variable which is not directly observed. Instead,
+we observe $Y_i$ which is defined as following:
+\begin{equation*}
+Y_i = \left\{
+\begin{array}{lcl}
+Y_i^*  &\textrm{if} & c_1<Y_i^*<c_2 \\
+c_1    &\textrm{if} & c_1 \ge Y_i^* \\
+c_2    &\textrm{if} & c_2 \le Y_i^*
+\end{array}\right.
+\end{equation*}
+where $c_1$ is the lower bound below which $Y_i^*$ is censored, and
+$c_2$ is the upper bound above which $Y_i^*$ is censored.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by 
+\begin{eqnarray*} 
+\epsilon_{i}  &  \sim & \textrm{Normal}(0, \sigma^2)
+\end{eqnarray*} 
+where $\epsilon_{i}=Y^*_i-\mu_i$. 
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_{i}= x_{i} \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for
+observation $i$ and $\beta$ is the vector of coefficients.
+
+\item The \emph{semi-conjugate priors} for $\beta$ and $\sigma^2$ are
+given by 
+\begin{eqnarray*} 
+\beta & \sim & \textrm{Normal}_k \left( b_{0},B_{0}^{-1}\right) \\
+\sigma^{2} & \sim & \textrm{InverseGamma} \left( \frac{c_0}{2}, \frac{d_0}{2}
+\right) 
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory
+variables, $B_{0}$ is the $k\times k$ precision matrix (the inverse of
+a variance-covariance matrix), and $c_0/2$ and $d_0/2$ are the shape
+and scale parameters for $\sigma^{2}$.  Note that $\beta$ and
+$\sigma^2$ are assumed \emph{a priori} independent.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the tobit regression model is
+calculated as following.  Let
+\begin{eqnarray*}
+\Phi_1 &=& \Phi\left(\frac{(c_1 - x \beta)}{\sigma}\right) \\
+\Phi_2 &=& \Phi\left(\frac{(c_2 - x \beta)}{\sigma}\right) \\ 
+\phi_1 &=& \phi\left(\frac{(c_1 - x \beta)}{\sigma}\right) \\
+\phi_2 &=& \phi\left(\frac{(c_2 - x \beta)}{\sigma}\right) 
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the (cumulative) Normal density function and
+$\phi(\cdot)$ is the Normal probability density function of the
+standard normal distribution.  Then the expected values are
+\begin{eqnarray*}
+E(Y|x) &=& P(Y^* \le c_1|x) c_1+P(c_1<Y^*<c_2|x) E(Y^* \mid c_1<Y^*<c_2, x)+P(Y^* \ge c_2) c_2 \\
+   &=& \Phi_{1}c_1 + x \beta(\Phi_{2}-\Phi_{1}) + \sigma (\phi_1 -\phi_2) + (1-\Phi_2) c_2,
+\end{eqnarray*}
+
+\item The first difference (\texttt{qi\$fd}) for the tobit regression
+model is defined as
+\begin{eqnarray*}
+\text{FD}=E(Y\mid x_{1})-E(Y\mid x).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "tobit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. The first $k$ columns contain the posterior draws
+of the coefficients $\beta$, and the last column contains the posterior draws 
+of the variance $\sigma^2$.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected value for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values given the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian tobit regression \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{tobit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
diff --git a/inst/doc/tobit.bayes.pdf b/inst/doc/tobit.bayes.pdf
new file mode 100644
index 0000000..abd51cf
Binary files /dev/null and b/inst/doc/tobit.bayes.pdf differ
diff --git a/inst/doc/tobit.bayes.tex b/inst/doc/tobit.bayes.tex
new file mode 100644
index 0000000..8530ff4
--- /dev/null
+++ b/inst/doc/tobit.bayes.tex
@@ -0,0 +1,306 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Bayesian Linear Regression for a Censored Dependent Variable}
+%\VignetteDepends{Zelig, MCMCpack}
+%\VignetteKeyWords{model, linear,bayes,regression,censored,continuous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{tobit.bayes}: Bayesian Linear Regression for a
+Censored Dependent Variable} \label{tobit.bayes}
+
+Bayesian tobit regression estimates a linear regression model with a
+censored dependent variable using a Gibbs sampler.  The dependent
+variable may be censored from below and/or from above.  For other
+linear regression models with fully observed dependent variables, see
+Bayesian regression (\Sref{normal.bayes}), maximum likelihood normal
+regression (\Sref{normal}), or least squares (\Sref{ls}).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, below = 0, above = Inf, 
+                  model = "tobit.bayes", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments to specify how the
+dependent variable is censored.
+\begin{itemize}
+\item \texttt{below}: point at which the dependent variable is censored
+from below. If the dependent variable is only censored from above, set 
+\texttt{below = -Inf}. The default value is 0.
+\item \texttt{above}: point at which the dependent variable is censored
+from above. If the dependent variable is only censored from below, set 
+\texttt{above = Inf}. The default value is \texttt{Inf}.
+\end{itemize}
+
+\subsubsection{Additional Inputs}
+
+Use the following arguments to monitor the convergence of the Markov
+chain:  
+\begin{itemize}
+\item \texttt{burnin}: number of the initial MCMC iterations to be 
+ discarded (defaults to 1,000).
+
+\item \texttt{mcmc}: number of the MCMC iterations after burnin
+(defaults to 10,000).
+
+\item \texttt{thin}: thinning interval for the Markov chain. Only every 
+ \texttt{thin}-th draw from the Markov chain is kept. The value of
+\texttt{mcmc} must be divisible by this value. The default value is 1.
+
+\item \texttt{verbose}: defaults to {\tt FALSE}.  If \texttt{TRUE},
+the progress of the sampler (every $10\%$) is printed to the screen.
+
+\item \texttt{seed}: seed for the random number generator. The default is 
+\texttt{NA} which corresponds to a random seed of 12345. 
+
+\item \texttt{beta.start}: starting values for the Markov 
+chain, either a scalar or vector with length equal to the number 
+of estimated coefficients. The default is \texttt{NA}, such that the
+least squares estimates are used as the starting values.  
+
+\end{itemize}
+
+Use the following parameters to specify the model's priors:  
+\begin{itemize}
+\item \texttt{b0}: prior mean for the coefficients, either a numeric
+vector or a scalar. If a scalar, that value will be the prior mean for
+all coefficients. The default is 0.
+
+\item \texttt{B0}: prior precision parameter for the coefficients,
+either a square matrix (with the dimensions equal to the number of the
+coefficients) or a scalar. If a scalar, that value times an identity
+matrix will be the prior precision parameter. The default is 0, which
+leads to an improper prior.
+
+\item \texttt{c0}: \texttt{c0/2} is the shape parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\item \texttt{d0}: \texttt{d0/2} is the scale parameter for the Inverse Gamma
+prior on the variance of the disturbance terms. 
+
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(MCMCtobit)} for more 
+information.
+
+\input{coda_diag}
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(tobin)
+\end{Sinput}
+\end{Schunk}
+Estimating linear regression using \texttt{tobit.bayes}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(durable ~ age + quant, model = "tobit.bayes", 
++     data = tobin, verbose = TRUE)
+\end{Sinput}
+\end{Schunk}
+Checking for convergence before summarizing the estimates:
+\begin{Schunk}
+\begin{Sinput}
+> geweke.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> heidel.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> raftery.diag(z.out$coefficients)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Set explanatory variables to their default(mean/mode) values, with high
+(80th percentile) and low (20th percentile) liquidity ratio (\texttt{quant}):
+
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, quant = quantile(tobin$quant, prob = 0.8))
+> x.low <- setx(z.out, quant = quantile(tobin$quant, prob = 0.2))
+\end{Sinput}
+\end{Schunk}
+Estimating the first difference for the effect of
+high versus low liquidity ratio on duration(\texttt{durable}):
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate}
+
+\subsubsection{Model}
+Let $Y_i^*$ be the dependent variable which is not directly observed. Instead,
+we observe $Y_i$ which is defined as following:
+\begin{equation*}
+Y_i = \left\{
+\begin{array}{lcl}
+Y_i^*  &\textrm{if} & c_1<Y_i^*<c_2 \\
+c_1    &\textrm{if} & c_1 \ge Y_i^* \\
+c_2    &\textrm{if} & c_2 \le Y_i^*
+\end{array}\right.
+\end{equation*}
+where $c_1$ is the lower bound below which $Y_i^*$ is censored, and
+$c_2$ is the upper bound above which $Y_i^*$ is censored.
+
+\begin{itemize}
+\item The \emph{stochastic component} is given by 
+\begin{eqnarray*} 
+\epsilon_{i}  &  \sim & \textrm{Normal}(0, \sigma^2)
+\end{eqnarray*} 
+where $\epsilon_{i}=Y^*_i-\mu_i$. 
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_{i}= x_{i} \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for
+observation $i$ and $\beta$ is the vector of coefficients.
+
+\item The \emph{semi-conjugate priors} for $\beta$ and $\sigma^2$ are
+given by 
+\begin{eqnarray*} 
+\beta & \sim & \textrm{Normal}_k \left( b_{0},B_{0}^{-1}\right) \\
+\sigma^{2} & \sim & \textrm{InverseGamma} \left( \frac{c_0}{2}, \frac{d_0}{2}
+\right) 
+\end{eqnarray*}
+where $b_{0}$ is the vector of means for the $k$ explanatory
+variables, $B_{0}$ is the $k\times k$ precision matrix (the inverse of
+a variance-covariance matrix), and $c_0/2$ and $d_0/2$ are the shape
+and scale parameters for $\sigma^{2}$.  Note that $\beta$ and
+$\sigma^2$ are assumed \emph{a priori} independent.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the tobit regression model is
+calculated as following.  Let
+\begin{eqnarray*}
+\Phi_1 &=& \Phi\left(\frac{(c_1 - x \beta)}{\sigma}\right) \\
+\Phi_2 &=& \Phi\left(\frac{(c_2 - x \beta)}{\sigma}\right) \\ 
+\phi_1 &=& \phi\left(\frac{(c_1 - x \beta)}{\sigma}\right) \\
+\phi_2 &=& \phi\left(\frac{(c_2 - x \beta)}{\sigma}\right) 
+\end{eqnarray*}
+where $\Phi(\cdot)$ is the (cumulative) Normal density function and
+$\phi(\cdot)$ is the Normal probability density function of the
+standard normal distribution.  Then the expected values are
+\begin{eqnarray*}
+E(Y|x) &=& P(Y^* \le c_1|x) c_1+P(c_1<Y^*<c_2|x) E(Y^* \mid c_1<Y^*<c_2, x)+P(Y^* \ge c_2) c_2 \\
+   &=& \Phi_{1}c_1 + x \beta(\Phi_{2}-\Phi_{1}) + \sigma (\phi_1 -\phi_2) + (1-\Phi_2) c_2,
+\end{eqnarray*}
+
+\item The first difference (\texttt{qi\$fd}) for the tobit regression
+model is defined as
+\begin{eqnarray*}
+\text{FD}=E(Y\mid x_{1})-E(Y\mid x).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[Y_{i}(t_{i}=1)-E[Y_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "tobit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. The first $k$ columns contain the posterior draws
+of the coefficients $\beta$, and the last column contains the posterior draws 
+of the variance $\sigma^2$.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected value for the specified
+values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+values given the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment effect
+for the treated from conditional prediction models.
+
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+Bayesian tobit regression \input{contributors}
+
+\noindent Ben Goodrich and Ying Lu enabled \texttt{tobit.bayes} to work with Zelig.
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+
+
+
+ \end{document}
diff --git a/inst/doc/tobit.pdf b/inst/doc/tobit.pdf
new file mode 100644
index 0000000..bfd1c0b
Binary files /dev/null and b/inst/doc/tobit.pdf differ
diff --git a/inst/doc/tobit.tex b/inst/doc/tobit.tex
new file mode 100644
index 0000000..3481062
--- /dev/null
+++ b/inst/doc/tobit.tex
@@ -0,0 +1,235 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Linear regression for Left-Censored Dependet Variable}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model, linear,regression,left-censored,continuous}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{\texttt{tobit}: Linear Regression for a
+Left-Censored Dependent Variable} \label{tobit}
+
+Tobit regression estimates a linear regression model for a
+left-censored dependent variable, where the dependent variable is
+censored from below.  While the classical tobit model has values
+censored at 0, you may select another censoring point.  For other
+linear regression models with fully observed dependent variables, see
+Bayesian regression (\Sref{normal.bayes}), maximum likelihood normal
+regression (\Sref{normal}), or least squares (\Sref{ls}).
+
+\subsubsection{Syntax}
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, below = 0, above = Inf, 
+                  model = "tobit", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Inputs}
+{\tt zelig()} accepts the following arguments to specify how the
+dependent variable is censored.
+\begin{itemize}
+\item \texttt{below}: (defaults to 0)  The point at which the dependent
+variable is censored from below.  If any values in the dependent
+variable are observed to be less than the censoring point, it is
+assumed that that particular observation is censored from below at the
+observed value.  (See \Sref{tobit.bayes} for a Bayesian
+implementation that supports both left and right censoring.) 
+ \item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) and the options selected in
+{\tt cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "tobit", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}
+
+Zelig users may wish to refer to \texttt{help(survreg)} for more 
+information.
+
+\subsubsection{Examples}
+
+\begin{enumerate}
+\item {Basic Example} \\
+Attaching the sample  dataset:
+\begin{Schunk}
+\begin{Sinput}
+> data(tobin)
+\end{Sinput}
+\end{Schunk}
+Estimating linear regression using \texttt{tobit}:
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(durable ~ age + quant, model = "tobit", data = tobin)
+\end{Sinput}
+\end{Schunk}
+Setting values for the explanatory variables to their sample averages:
+\begin{Schunk}
+\begin{Sinput}
+> x.out <- setx(z.out)
+\end{Sinput}
+\end{Schunk}
+Simulating quantities of interest from the posterior distribution given 
+\texttt{x.out}.
+\begin{Schunk}
+\begin{Sinput}
+> s.out1 <- sim(z.out, x = x.out)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out1)
+\end{Sinput}
+\end{Schunk}
+\item {Simulating First Differences} \\
+Set explanatory variables to their default(mean/mode) values, with high
+(80th percentile) and low (20th percentile) liquidity ratio (\texttt{quant}):
+
+\begin{Schunk}
+\begin{Sinput}
+> x.high <- setx(z.out, quant = quantile(tobin$quant, prob = 0.8))
+> x.low <- setx(z.out, quant = quantile(tobin$quant, prob = 0.2))
+\end{Sinput}
+\end{Schunk}
+Estimating the first difference for the effect of
+high versus low liquidity ratio on duration(\texttt{durable}):
+\begin{Schunk}
+\begin{Sinput}
+> s.out2 <- sim(z.out, x = x.high, x1 = x.low)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out2)
+\end{Sinput}
+\end{Schunk}
+\end{enumerate} 
+
+\subsubsection{Model}
+\begin{itemize} 
+\item Let $Y_i^*$ be a latent dependent variable which is distributed with
+\emph{stochastic} component
+\begin{eqnarray*}
+Y_i^* & \sim & \textrm{Normal}(\mu_i, \sigma^2) \\
+\end{eqnarray*}
+where $\mu_i$ is a vector means and $\sigma^2$ is a scalar variance
+parameter.  $Y_i^*$ is not directly observed, however.  Rather we
+observed $Y_i$ which is defined as:  
+\begin{equation*}
+Y_i = \left\{
+\begin{array}{lcl}
+Y_i^*  &\textrm{if} & c <Y_i^* \\
+c    &\textrm{if} & c \ge Y_i^* 
+\end{array}\right.
+\end{equation*}
+where $c$ is the lower bound below which $Y_i^*$ is censored.
+
+\item The \emph{systematic component} is given by
+\begin{eqnarray*}
+\mu_{i} &=& x_{i} \beta,
+\end{eqnarray*}
+where $x_{i}$ is the vector of $k$ explanatory variables for
+observation $i$ and $\beta$ is the vector of coefficients.
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values (\texttt{qi\$ev}) for the tobit regression
+model are the same as the expected value of $Y*$:  
+\begin{equation*}
+E(Y^* | X) = \mu_{i} = x_{i} \beta
+\end{equation*}
+
+\item The first difference (\texttt{qi\$fd}) for the tobit regression
+model is defined as
+\begin{eqnarray*}
+\text{FD}=E(Y^* \mid x_{1}) - E(Y^* \mid x).
+\end{eqnarray*}
+
+\item In conditional prediction models, the average expected treatment effect
+(\texttt{qi\$att.ev}) for the treatment group is
+\begin{eqnarray*}
+\frac{1}{\sum t_{i}}\sum_{i:t_{i}=1}[E[Y^*_{i}(t_{i}=1)]-E[Y^*_{i}(t_{i}=0)]],
+\end{eqnarray*}
+where $t_{i}$ is a binary explanatory variable defining the treatment
+($t_{i}=1$) and control ($t_{i}=0$) groups. 
+
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you may
+view. For example, if you run:
+\begin{verbatim}
+z.out <- zelig(y ~ x, model = "tobit.bayes", data)
+\end{verbatim}
+
+\noindent then you may examine the available information in \texttt{z.out} by
+using \texttt{names(z.out)}, see the draws from the posterior distribution of
+the \texttt{coefficients} by using \texttt{z.out\$coefficients}, and view a 
+default summary of information through \texttt{summary(z.out)}. Other elements
+available through the \texttt{\$} operator are listed below.
+
+\begin{itemize}
+\item From the \texttt{zelig()} output object \texttt{z.out}, you may extract:
+
+\begin{itemize}
+\item \texttt{coefficients}: draws from the posterior distributions
+of the estimated parameters. The first $k$ columns contain the posterior draws
+of the coefficients $\beta$, and the last column contains the posterior draws 
+of the variance $\sigma^2$.
+
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+\item \texttt{seed}: the random seed used in the model.
+
+\end{itemize}
+
+\item From the \texttt{sim()} output object \texttt{s.out}:
+
+\begin{itemize}
+\item \texttt{qi\$ev}: the simulated expected value for the specified
+  values of \texttt{x}.
+
+\item \texttt{qi\$fd}: the simulated first difference in the expected
+  values given the values specified in \texttt{x} and \texttt{x1}.
+
+\item \texttt{qi\$att.ev}: the simulated average expected treatment
+  effect for the treated from conditional prediction models.
+
+\end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The tobit function is part of the survival library by Terry
+Therneau, ported to R by Thomas Lumley.  Advanced users may wish to
+refer to \texttt{help(survfit)} in the survival library and
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality. 
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+ \end{document}
diff --git a/inst/doc/weibull.Rnw b/inst/doc/weibull.Rnw
new file mode 100644
index 0000000..4dd6b68
--- /dev/null
+++ b/inst/doc/weibull.Rnw
@@ -0,0 +1,296 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/weibull}
+\include{zinput}
+%\VignetteIndexEntry{Weibull Regression for Duration Dependent Variables}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model, weibull,regression,bounded, duration}
+%\VignettePackage{Zelig}
+\begin{document}
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+pkg <- search()
+if(!length(grep("package:Zelig",pkg)))
+library(Zelig)
+@
+
+\section{{\tt weibull}: Weibull Regression for Duration
+Dependent Variables}\label{weibull}
+
+Choose the Weibull regression model if the values in your dependent
+variable are duration observations.  The Weibull model relaxes the
+exponential model's (see \Sref{exp}) assumption of constant hazard,
+and allows the hazard rate to increase or decrease monotonically with
+respect to elapsed time.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Surv(Y, C) ~ X1 + X2, model = "weibull", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+Weibull models require that the dependent variable be in the form {\tt
+  Surv(Y, C)}, where {\tt Y} and {\tt C} are vectors of length $n$.
+For each observation $i$ in 1, \dots, $n$, the value $y_i$ is the
+duration (lifetime, for example), and the associated $c_i$ is a binary
+variable such that $c_i = 1$ if the duration is not censored ({\it
+  e.g.}, the subject dies during the study) or $c_i = 0$ if the
+duration is censored ({\it e.g.}, the subject is still alive at the
+end of the study).  If $c_i$ is omitted, all Y are assumed to be
+completed; that is, time defaults to 1 for all observations.
+
+\subsubsection{Input Values} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for weibull regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) based on the options in {\tt
+cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "exp", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}  
+
+\subsubsection{Example}
+
+Attach the sample data: 
+<<Example.data>>=
+ data(coalition)
+@ 
+Estimate the model: 
+<<Example.zelig>>=
+ z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model = "weibull",
+                 data = coalition)
+@ 
+View the regression output:  
+<<Example.summary>>=
+ summary(z.out)
+@ 
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+<<Example.setx>>=
+ x.low <- setx(z.out, numst2 = 0)
+ x.high <- setx(z.out, numst2 = 1)
+@ 
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt qi\$fd}):
+<<Example.sim>>=
+ s.out <- sim(z.out, x = x.low, x1 = x.high)
+@
+<<Example.summary.sim>>= 
+ summary(s.out)
+@  
+\begin{center}
+<<label=ExamplePlot,fig=true,echo=true>>= 
+plot(s.out)
+@ 
+\end{center}
+
+\subsubsection{Model}
+Let $Y_i^*$ be the survival time for observation $i$. This variable
+might be censored for some observations at a fixed time $y_c$ such
+that the fully observed dependent variable, $Y_i$, is defined as
+\begin{equation*}
+  Y_i = \left\{ \begin{array}{ll}
+      Y_i^* & \textrm{if }Y_i^* \leq y_c \\
+      y_c & \textrm{if }Y_i^* > y_c 
+    \end{array} \right.
+\end{equation*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by the distribution
+  of the partially observed variable $Y^*$.  We assume $Y_i^*$ follows
+  the Weibull distribution whose density function is given by
+  \begin{equation*}
+    f(y_i^*\mid \lambda_i, \alpha) = \frac{\alpha}{\lambda_i^\alpha}
+    y_i^{* \alpha-1} \exp \left\{ -\left( \frac{y_i^*}{\lambda_i}
+\right)^{\alpha} \right\}
+  \end{equation*}
+  for $y_i^* \ge 0$, the scale parameter $\lambda_i > 0$, and the shape
+  parameter $\alpha > 0$. The mean of this distribution is $\lambda_i
+  \Gamma(1 + 1 / \alpha)$. When $\alpha = 1$, the distribution reduces to
+  the exponential distribution (see Section~\ref{exp}).  (Note that
+the output from {\tt zelig()} parameterizes {\tt scale}$ = 1 / \alpha$.)
+
+In addition, survival models like the Weibull have three additional
+properties.  The hazard function $h(t)$ measures the probability of
+not surviving past time $t$ given survival up to $t$. In general,
+the hazard function is equal to $f(t)/S(t)$ where the survival
+function $S(t) = 1 - \int_{0}^t f(s) ds$ represents the fraction still
+surviving at time $t$.  The cumulative hazard function $H(t)$
+describes the probability of dying before time $t$.  In general,
+$H(t)= \int_{0}^{t} h(s) ds = -\log S(t)$.  In the case of the Weibull
+model,
+\begin{eqnarray*}
+h(t) &=& \frac{\alpha}{\lambda_i^{\alpha}} t^{\alpha - 1}  \\
+S(t) &=&  \exp \left\{ -\left( \frac{t}{\lambda_i} \right)^{\alpha} \right\} \\
+H(t) &=& \left( \frac{t}{\lambda_i} \right)^{\alpha}
+\end{eqnarray*}
+For the Weibull model, the hazard function $h(t)$ can increase or
+decrease monotonically over time.  
+
+\item The \emph{systematic component} $\lambda_i$ is modeled as
+  \begin{equation*}
+    \lambda_i = \exp(x_i \beta),
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables, and $\beta$ is
+  the vector of coefficients.
+  
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the Weibull model are
+  simulations of the expected duration:
+\begin{equation*}
+E(Y) = \lambda_i \, \Gamma (1 + \alpha^{-1}),
+\end{equation*}
+given draws of $\beta$ and $\alpha$ from their sampling
+distributions. 
+
+\item The predicted value ({\tt qi\$pr}) is drawn from a distribution
+  defined by $(\lambda_i, \alpha)$.  
+
+\item The first difference ({\tt qi\$fd}) in expected value is
+\begin{equation*}
+\textrm{FD} = E(Y \mid x_1) - E(Y \mid x). 
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups. When
+    $Y_i(t_i=1)$ is censored rather than observed, we replace it with
+    a simulation from the model given available knowledge of the
+    censoring process.  Variation in the simulations are due to
+    uncertainty in simulating $E[Y_i(t_i=0)]$, the counterfactual
+    expected value of $Y_i$ for observations in the treatment group,
+    under the assumption that everything stays the same except that
+    the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  When
+    $Y_i(t_i=1)$ is censored rather than observed, we replace it with
+    a simulation from the model given available knowledge of the
+    censoring process.  Variation in the simulations are due to
+    uncertainty in simulating $\widehat{Y_i(t_i=0)}$, the
+    counterfactual predicted value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "weibull", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt icoef}: parameter estimates for the intercept and ``scale''
+     parameter $1 / \alpha$.  
+   \item {\tt var}: the variance-covariance matrix.  
+   \item {\tt loglik}: a vector containing the log-likelihood for the
+     model and intercept only (respectively).
+   \item {\tt linear.predictors}: a vector of the
+     $x_{i}\beta$.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+\item Most of this may be conveniently summarized using {\tt
+   summary(z.out)}.  From {\tt summary(z.out)}, you may
+ additionally extract: 
+   \begin{itemize}
+   \item {\tt table}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from a
+     distribution defined by $(\lambda_i, \alpha)$.  
+   \item {\tt qi\$fd}: the simulated first differences between the
+     simulated expected values for {\tt x} and {\tt x1}.  
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The Weibull model is part of the survival library by Terry Therneau,
+ported to R by Thomas Lumley.  Advanced users may wish to refer to
+\texttt{help(survfit)} in the survival library, and 
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/weibull.pdf b/inst/doc/weibull.pdf
new file mode 100644
index 0000000..f84c227
Binary files /dev/null and b/inst/doc/weibull.pdf differ
diff --git a/inst/doc/weibull.tex b/inst/doc/weibull.tex
new file mode 100644
index 0000000..2ff799c
--- /dev/null
+++ b/inst/doc/weibull.tex
@@ -0,0 +1,298 @@
+
+\include{zinput}
+%\VignetteIndexEntry{Weibull Regression for Duration Dependent Variables}
+%\VignetteDepends{Zelig, survival}
+%\VignetteKeyWords{model, weibull,regression,bounded, duration}
+%\VignettePackage{Zelig}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
+\begin{document}
+
+
+\section{{\tt weibull}: Weibull Regression for Duration
+Dependent Variables}\label{weibull}
+
+Choose the Weibull regression model if the values in your dependent
+variable are duration observations.  The Weibull model relaxes the
+exponential model's (see \Sref{exp}) assumption of constant hazard,
+and allows the hazard rate to increase or decrease monotonically with
+respect to elapsed time.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Surv(Y, C) ~ X1 + X2, model = "weibull", data = mydata)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+Weibull models require that the dependent variable be in the form {\tt
+  Surv(Y, C)}, where {\tt Y} and {\tt C} are vectors of length $n$.
+For each observation $i$ in 1, \dots, $n$, the value $y_i$ is the
+duration (lifetime, for example), and the associated $c_i$ is a binary
+variable such that $c_i = 1$ if the duration is not censored ({\it
+  e.g.}, the subject dies during the study) or $c_i = 0$ if the
+duration is censored ({\it e.g.}, the subject is still alive at the
+end of the study).  If $c_i$ is omitted, all Y are assumed to be
+completed; that is, time defaults to 1 for all observations.
+
+\subsubsection{Input Values} 
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for weibull regression:  
+\begin{itemize}
+\item {\tt robust}: defaults to {\tt FALSE}.  If {\tt TRUE}, {\tt
+zelig()} computes robust standard errors based on sandwich estimators
+(see \cite{Huber81} and \cite{White80}) based on the options in {\tt
+cluster}.
+\item {\tt cluster}:  if {\tt robust = TRUE}, you may select a
+variable to define groups of correlated observations.  Let {\tt x3} be
+a variable that consists of either discrete numeric values, character
+strings, or factors that define strata.  Then
+\begin{verbatim}
+> z.out <- zelig(y ~ x1 + x2, robust = TRUE, cluster = "x3", 
+                 model = "exp", data = mydata)
+\end{verbatim}
+means that the observations can be correlated within the strata defined by
+the variable {\tt x3}, and that robust standard errors should be
+calculated according to those clusters.  If {\tt robust = TRUE} but
+{\tt cluster} is not specified, {\tt zelig()} assumes that each
+observation falls into its own cluster.  
+\end{itemize}  
+
+\subsubsection{Example}
+
+Attach the sample data: 
+\begin{Schunk}
+\begin{Sinput}
+> data(coalition)
+\end{Sinput}
+\end{Schunk}
+Estimate the model: 
+\begin{Schunk}
+\begin{Sinput}
+> z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model = "weibull", 
++     data = coalition)
+\end{Sinput}
+\end{Schunk}
+View the regression output:  
+\begin{Schunk}
+\begin{Sinput}
+> summary(z.out)
+\end{Sinput}
+\end{Schunk}
+Set the baseline values (with the ruling coalition in the minority)
+and the alternative values (with the ruling coalition in the majority)
+for X:
+\begin{Schunk}
+\begin{Sinput}
+> x.low <- setx(z.out, numst2 = 0)
+> x.high <- setx(z.out, numst2 = 1)
+\end{Sinput}
+\end{Schunk}
+Simulate expected values ({\tt qi\$ev}) and first differences ({\tt qi\$fd}):
+\begin{Schunk}
+\begin{Sinput}
+> s.out <- sim(z.out, x = x.low, x1 = x.high)
+\end{Sinput}
+\end{Schunk}
+\begin{Schunk}
+\begin{Sinput}
+> summary(s.out)
+\end{Sinput}
+\end{Schunk}
+\begin{center}
+\begin{Schunk}
+\begin{Sinput}
+> plot(s.out)
+\end{Sinput}
+\end{Schunk}
+\includegraphics{vigpics/weibull-ExamplePlot}
+\end{center}
+
+\subsubsection{Model}
+Let $Y_i^*$ be the survival time for observation $i$. This variable
+might be censored for some observations at a fixed time $y_c$ such
+that the fully observed dependent variable, $Y_i$, is defined as
+\begin{equation*}
+  Y_i = \left\{ \begin{array}{ll}
+      Y_i^* & \textrm{if }Y_i^* \leq y_c \\
+      y_c & \textrm{if }Y_i^* > y_c 
+    \end{array} \right.
+\end{equation*}
+
+\begin{itemize}
+\item The \emph{stochastic component} is described by the distribution
+  of the partially observed variable $Y^*$.  We assume $Y_i^*$ follows
+  the Weibull distribution whose density function is given by
+  \begin{equation*}
+    f(y_i^*\mid \lambda_i, \alpha) = \frac{\alpha}{\lambda_i^\alpha}
+    y_i^{* \alpha-1} \exp \left\{ -\left( \frac{y_i^*}{\lambda_i}
+\right)^{\alpha} \right\}
+  \end{equation*}
+  for $y_i^* \ge 0$, the scale parameter $\lambda_i > 0$, and the shape
+  parameter $\alpha > 0$. The mean of this distribution is $\lambda_i
+  \Gamma(1 + 1 / \alpha)$. When $\alpha = 1$, the distribution reduces to
+  the exponential distribution (see Section~\ref{exp}).  (Note that
+the output from {\tt zelig()} parameterizes {\tt scale}$ = 1 / \alpha$.)
+
+In addition, survival models like the Weibull have three additional
+properties.  The hazard function $h(t)$ measures the probability of
+not surviving past time $t$ given survival up to $t$. In general,
+the hazard function is equal to $f(t)/S(t)$ where the survival
+function $S(t) = 1 - \int_{0}^t f(s) ds$ represents the fraction still
+surviving at time $t$.  The cumulative hazard function $H(t)$
+describes the probability of dying before time $t$.  In general,
+$H(t)= \int_{0}^{t} h(s) ds = -\log S(t)$.  In the case of the Weibull
+model,
+\begin{eqnarray*}
+h(t) &=& \frac{\alpha}{\lambda_i^{\alpha}} t^{\alpha - 1}  \\
+S(t) &=&  \exp \left\{ -\left( \frac{t}{\lambda_i} \right)^{\alpha} \right\} \\
+H(t) &=& \left( \frac{t}{\lambda_i} \right)^{\alpha}
+\end{eqnarray*}
+For the Weibull model, the hazard function $h(t)$ can increase or
+decrease monotonically over time.  
+
+\item The \emph{systematic component} $\lambda_i$ is modeled as
+  \begin{equation*}
+    \lambda_i = \exp(x_i \beta),
+  \end{equation*}
+  where $x_i$ is the vector of explanatory variables, and $\beta$ is
+  the vector of coefficients.
+  
+\end{itemize}
+
+\subsubsection{Quantities of Interest}
+
+\begin{itemize}
+\item The expected values ({\tt qi\$ev}) for the Weibull model are
+  simulations of the expected duration:
+\begin{equation*}
+E(Y) = \lambda_i \, \Gamma (1 + \alpha^{-1}),
+\end{equation*}
+given draws of $\beta$ and $\alpha$ from their sampling
+distributions. 
+
+\item The predicted value ({\tt qi\$pr}) is drawn from a distribution
+  defined by $(\lambda_i, \alpha)$.  
+
+\item The first difference ({\tt qi\$fd}) in expected value is
+\begin{equation*}
+\textrm{FD} = E(Y \mid x_1) - E(Y \mid x). 
+\end{equation*}
+
+\item In conditional prediction models, the average expected treatment
+  effect ({\tt att.ev}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      E[Y_i(t_i=0)] \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups. When
+    $Y_i(t_i=1)$ is censored rather than observed, we replace it with
+    a simulation from the model given available knowledge of the
+    censoring process.  Variation in the simulations are due to
+    uncertainty in simulating $E[Y_i(t_i=0)]$, the counterfactual
+    expected value of $Y_i$ for observations in the treatment group,
+    under the assumption that everything stays the same except that
+    the treatment indicator is switched to $t_i=0$.
+
+\item In conditional prediction models, the average predicted treatment
+  effect ({\tt att.pr}) for the treatment group is 
+    \begin{equation*} \frac{1}{\sum_{i=1}^n t_i}\sum_{i:t_i=1}^n \left\{ Y_i(t_i=1) -
+      \widehat{Y_i(t_i=0)} \right\},
+    \end{equation*} 
+    where $t_i$ is a binary explanatory variable defining the
+    treatment ($t_i=1$) and control ($t_i=0$) groups.  When
+    $Y_i(t_i=1)$ is censored rather than observed, we replace it with
+    a simulation from the model given available knowledge of the
+    censoring process.  Variation in the simulations are due to
+    uncertainty in simulating $\widehat{Y_i(t_i=0)}$, the
+    counterfactual predicted value of $Y_i$ for observations in the
+    treatment group, under the assumption that everything stays the
+    same except that the treatment indicator is switched to $t_i=0$.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view.  For example, if you run \texttt{z.out <- zelig(y \~\,
+  x, model = "weibull", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+\item From the {\tt zelig()} output object {\tt z.out}, you may extract:
+   \begin{itemize}
+   \item {\tt coefficients}: parameter estimates for the explanatory
+     variables.
+   \item {\tt icoef}: parameter estimates for the intercept and ``scale''
+     parameter $1 / \alpha$.  
+   \item {\tt var}: the variance-covariance matrix.  
+   \item {\tt loglik}: a vector containing the log-likelihood for the
+     model and intercept only (respectively).
+   \item {\tt linear.predictors}: a vector of the
+     $x_{i}\beta$.
+   \item {\tt df.residual}: the residual degrees of freedom.
+   \item {\tt df.null}: the residual degrees of freedom for the null
+     model.
+   \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.  
+   \end{itemize}
+\item Most of this may be conveniently summarized using {\tt
+   summary(z.out)}.  From {\tt summary(z.out)}, you may
+ additionally extract: 
+   \begin{itemize}
+   \item {\tt table}: the parameter estimates with their
+     associated standard errors, $p$-values, and $t$-statistics.
+   \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+  quantities of interest arranged as matrices indexed by simulation
+  $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+  Available quantities are:
+
+   \begin{itemize}
+   \item {\tt qi\$ev}: the simulated expected values for the specified
+     values of {\tt x}.
+   \item {\tt qi\$pr}: the simulated predicted values drawn from a
+     distribution defined by $(\lambda_i, \alpha)$.  
+   \item {\tt qi\$fd}: the simulated first differences between the
+     simulated expected values for {\tt x} and {\tt x1}.  
+   \item {\tt qi\$att.ev}: the simulated average expected treatment
+     effect for the treated from conditional prediction models.  
+   \item {\tt qi\$att.pr}: the simulated average predicted treatment
+     effect for the treated from conditional prediction models.  
+   \end{itemize}
+\end{itemize}
+
+\subsubsection{Contributors}
+
+The Weibull model is part of the survival library by Terry Therneau,
+ported to R by Thomas Lumley.  Advanced users may wish to refer to
+\texttt{help(survfit)} in the survival library, and 
+\begin{verse}
+\bibentry{VenRip02}.
+\end{verse}
+
+Sample data are from 
+\begin{verse}
+\bibentry{KinAltBur90}.  
+\end{verse}
+
+Kosuke Imai, Gary King, and Olivia Lau added Zelig functionality.  
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: t
+%%% End: 
+
+ \end{document}
+
+
+
+
+
+
+
+
+
diff --git a/inst/doc/zelig.aux b/inst/doc/zelig.aux
deleted file mode 100644
index 964500d..0000000
--- a/inst/doc/zelig.aux
+++ /dev/null
@@ -1,361 +0,0 @@
-\relax 
-\ifx\hyper at anchor\@undefined
-\global \let \oldcontentsline\contentsline
-\gdef \contentsline#1#2#3#4{\oldcontentsline{#1}{#2}{#3}}
-\global \let \oldnewlabel\newlabel
-\gdef \newlabel#1#2{\newlabelxx{#1}#2}
-\gdef \newlabelxx#1#2#3#4#5#6{\oldnewlabel{#1}{{#2}{#3}}}
-\AtEndDocument{\let \contentsline\oldcontentsline
-\let \newlabel\oldnewlabel}
-\else
-\global \let \hyper at last\relax 
-\fi
-
-\@input{acknowledgments.aux}
-\citation{KinTomWit00}
-\citation{KinHonJos01}
-\citation{King95}
-\@writefile{toc}{\contentsline {chapter}{\numberline {1}Introduction}{7}{chapter.1}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {1.1}What Zelig and R Do}{7}{section.1.1}}
-\@writefile{toc}{\contentsline {section}{\numberline {1.2}Getting Help}{8}{section.1.2}}
-\newlabel{Rhelp}{{1.2}{9}{Getting Help\relax }{section.1.2}{}}
-\@writefile{toc}{\contentsline {part}{I\hspace  {1em}User's Guide}{10}{part.1}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {2}Installation}{11}{chapter.2}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {subsubsection}{If You Know R}{11}{section*.3}}
-\@writefile{toc}{\contentsline {subsubsection}{If You Are New to R}{11}{section*.4}}
-\@writefile{toc}{\contentsline {section}{\numberline {2.1}Windows}{12}{section.2.1}}
-\newlabel{ss:win}{{2.1}{12}{Windows\relax }{section.2.1}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Installing R}{12}{section*.5}}
-\@writefile{toc}{\contentsline {subsubsection}{Installing Zelig}{12}{section*.6}}
-\newlabel{manual.windows}{{3}{12}{Installing Zelig\relax }{Item.3}{}}
-\newlabel{win.zelig}{{3a}{12}{Installing Zelig\relax }{Item.4}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Updating Zelig}{13}{section*.7}}
-\@writefile{toc}{\contentsline {section}{\numberline {2.2}MacOS X}{13}{section.2.2}}
-\newlabel{ss:osx}{{2.2}{13}{MacOS X\relax }{section.2.2}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Installing R}{13}{section*.8}}
-\@writefile{toc}{\contentsline {subsubsection}{Installing Zelig}{13}{section*.9}}
-\newlabel{osx.manual}{{2.2}{13}{Installing Zelig\relax }{section*.9}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Updating Zelig}{15}{section*.10}}
-\@writefile{toc}{\contentsline {section}{\numberline {2.3}UNIX and Linux}{16}{section.2.3}}
-\newlabel{ss:unix}{{2.3}{16}{UNIX and Linux\relax }{section.2.3}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Installing R}{16}{section*.11}}
-\@writefile{toc}{\contentsline {subsubsection}{Installing Zelig}{16}{section*.12}}
-\newlabel{sss:unix.library}{{2.3}{16}{Installing Zelig\relax }{section*.12}{}}
-\newlabel{unix.zelig}{{2.3}{16}{Installing Zelig\relax }{section*.12}{}}
-\newlabel{unix.manual}{{2}{17}{Installing Zelig\relax }{Item.35}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Updating Zelig}{17}{section*.13}}
-\newlabel{sss:unix.updating}{{2.3}{17}{Updating Zelig\relax }{section*.13}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {2.4}Version Compatability}{18}{section.2.4}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {3}Data Analysis Commands}{19}{chapter.3}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{c:R}{{3}{19}{Data Analysis Commands\relax }{chapter.3}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {3.1}Command Syntax}{19}{section.3.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.1.1}Getting Started}{19}{subsection.3.1.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.1.2}Details}{20}{subsection.3.1.2}}
-\newlabel{s:syntax}{{3.1.2}{20}{Details\relax }{subsection.3.1.2}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {3.2}Data Sets}{21}{section.3.2}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.2.1}Data Structures}{21}{subsection.3.2.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.2.2}Loading Data}{21}{subsection.3.2.2}}
-\newlabel{load.data}{{3.2.2}{21}{Loading Data\relax }{subsection.3.2.2}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.2.3}Saving Data}{23}{subsection.3.2.3}}
-\newlabel{s:save}{{3.2.3}{23}{Saving Data\relax }{subsection.3.2.3}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {3.3}Variables}{24}{section.3.3}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.3.1}Classes of Variables}{24}{subsection.3.3.1}}
-\newlabel{variable.classes}{{3.3.1}{24}{Types of Variables\relax }{section*.17}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {3.3.2}Recoding Variables}{25}{subsection.3.3.2}}
-\newlabel{insert}{{3.3.2}{26}{Extracting, Replacing, and Generating New Variables\relax }{section*.18}{}}
-\newlabel{logical}{{3.3.2}{26}{Logical Operators\relax }{section*.19}{}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {4}Statistical Commands}{30}{chapter.4}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {4.1}Zelig Commands}{30}{section.4.1}}
-\newlabel{s:commands}{{4.1}{30}{Zelig Commands\relax }{section.4.1}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {4.1.1}Quick Overview}{30}{subsection.4.1.1}}
-\newlabel{overview}{{4.1.1}{30}{Quick Overview\relax }{subsection.4.1.1}{}}
-\@writefile{lof}{\contentsline {figure}{\numberline {4.1}{\ignorespaces Main Zelig commands (solid arrows) and some options (dashed arrows)}}{30}{figure.4.1}}
-\newlabel{3steps}{{4.1}{30}{Quick Overview\relax }{figure.4.1}{}}
-\citation{KinZen06a}
-\citation{KinZen06b}
-\citation{StoKinZen06}
-\@writefile{toc}{\contentsline {subsection}{\numberline {4.1.2}Examples}{31}{subsection.4.1.2}}
-\newlabel{mi.ex}{{4.1.2}{31}{Examples\relax }{subsection.4.1.2}{}}
-\citation{SchSla01}
-\@writefile{toc}{\contentsline {subsection}{\numberline {4.1.3}Details}{33}{subsection.4.1.3}}
-\newlabel{mi}{{1}{33}{\relax }{Hfootnote.4}{}}
-\citation{HoImaKin07}
-\citation{KinAltBur90}
-\citation{King97}
-\citation{AdoKinHer03}
-\citation{GelKin94a}
-\citation{KinMurSal04}
-\@writefile{toc}{\contentsline {section}{\numberline {4.2}Supported Models}{38}{section.4.2}}
-\newlabel{s:models}{{4.2}{38}{Supported Models\relax }{section.4.2}{}}
-\newlabel{duration}{{6}{40}{Supported Models\relax }{Item.144}{}}
-\citation{King95}
-\@writefile{toc}{\contentsline {section}{\numberline {4.3}Replication Procedures}{41}{section.4.3}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {4.3.1}Saving Replication Materials}{42}{subsection.4.3.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {4.3.2}Replicating Analyses}{42}{subsection.4.3.2}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {5}Graphing Commands}{44}{chapter.5}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{s:plot}{{5}{44}{Graphing Commands\relax }{chapter.5}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {5.1}Drawing Plots}{44}{section.5.1}}
-\newlabel{ss:draw}{{5.1}{44}{Drawing Plots\relax }{section.5.1}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {5.2}Adding Points, Lines, and Legends to Existing Plots}{46}{section.5.2}}
-\newlabel{ss:add}{{5.2}{46}{Adding Points, Lines, and Legends to Existing Plots\relax }{section.5.2}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {5.3}Saving Graphs to Files}{46}{section.5.3}}
-\newlabel{ss:output}{{5.3}{46}{Saving Graphs to Files\relax }{section.5.3}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {5.4}Examples}{48}{section.5.4}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {5.4.1}Descriptive Plots: Box-plots}{48}{subsection.5.4.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {5.4.2}Density Plots: A Histogram}{49}{subsection.5.4.2}}
-\citation{KatKin99}
-\@writefile{toc}{\contentsline {subsection}{\numberline {5.4.3}Advanced Examples}{50}{subsection.5.4.3}}
-\citation{KinZen02}
-\citation{KinTomWit00}
-\newlabel{plot.vertci}{{3}{52}{Advanced Examples\relax }{Item.161}{}}
-\@writefile{toc}{\contentsline {part}{II\hspace  {1em}Advanced Zelig Uses}{53}{part.2}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {6}R Objects}{54}{chapter.6}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{a:R}{{6}{54}{R Objects\relax }{chapter.6}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {6.1}Scalar Values}{54}{section.6.1}}
-\newlabel{variables}{{6.1}{54}{Scalar Values\relax }{section.6.1}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {6.2}Data Structures}{55}{section.6.2}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {6.2.1}Arrays}{55}{subsection.6.2.1}}
-\newlabel{factors}{{2}{56}{Ways to create arrays\relax }{Item.166}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {6.2.2}Lists}{58}{subsection.6.2.2}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {6.2.3}Data Frames}{59}{subsection.6.2.3}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {6.2.4}Identifying Objects and Data Structures}{60}{subsection.6.2.4}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {7}Programming Statements}{61}{chapter.7}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {7.1}Functions}{61}{section.7.1}}
-\@writefile{toc}{\contentsline {section}{\numberline {7.2}If-Statements}{61}{section.7.2}}
-\@writefile{toc}{\contentsline {section}{\numberline {7.3}For-Loops}{62}{section.7.3}}
-\@writefile{toc}{\contentsline {paragraph}{Example 1: Creating a vector with a logical statement}{62}{section*.24}}
-\newlabel{dummy}{{7.3}{63}{Example 2: Creating dummy variables by hand\relax }{section*.25}{}}
-\@writefile{toc}{\contentsline {paragraph}{Example 2: Creating dummy variables by hand}{63}{section*.25}}
-\@writefile{toc}{\contentsline {paragraph}{Example 3: Weighted regression with subsets}{64}{section*.26}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {8}Writing New Models}{66}{chapter.8}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{s:new}{{8}{66}{Writing New Models\relax }{chapter.8}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {8.1}Managing Statistical Model Inputs}{67}{section.8.1}}
-\newlabel{ui}{{8.1}{67}{Managing Statistical Model Inputs\relax }{section.8.1}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.1.1}Describe the Statistical Model}{67}{subsection.8.1.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.1.2}Single Response Variable Models: Normal Regression Model}{68}{subsection.8.1.2}}
-\newlabel{normal.regression}{{8.1.2}{68}{Single Response Variable Models: Normal Regression Model\relax }{subsection.8.1.2}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.1.3}Multivariate models: Bivariate Normal example}{71}{subsection.8.1.3}}
-\newlabel{bivariate.probit}{{8.1.3}{71}{Multivariate models: Bivariate Normal example\relax }{subsection.8.1.3}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {8.2}Easy Ways to Manage Matrices}{73}{section.8.2}}
-\newlabel{constraints}{{8.2}{73}{Easy Ways to Manage Matrices\relax }{section.8.2}{}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.2.1}The Intuitive Layout}{74}{subsection.8.2.1}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.2.2}The Computationally-Efficient Layout}{74}{subsection.8.2.2}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.2.3}The Memory-Efficient Layout}{75}{subsection.8.2.3}}
-\@writefile{toc}{\contentsline {subsection}{\numberline {8.2.4}Interchanging the Three Methods}{75}{subsection.8.2.4}}
-\newlabel{bivariate.probit.llik}{{8.2.4}{75}{Interchanging the Three Methods\relax }{subsection.8.2.4}{}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {9}Adding Models and Methods to Zelig}{78}{chapter.9}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{c:addingmodels}{{9}{78}{Adding Models and Methods to Zelig\relax }{chapter.9}{}}
-\@writefile{lof}{\contentsline {figure}{\numberline {9.1}{\ignorespaces Six functions (solid boxes) to implement a new Zelig model}}{79}{figure.9.1}}
-\newlabel{add}{{9.1}{79}{Adding Models and Methods to Zelig\relax }{figure.9.1}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {9.1}Making the Model Compatible with Zelig}{79}{section.9.1}}
-\newlabel{compatible}{{9.1}{79}{Making the Model Compatible with Zelig\relax }{section.9.1}{}}
-\@writefile{toc}{\contentsline {subsubsection}{To Work with {\tt  zelig()}}{80}{section*.27}}
-\@writefile{toc}{\contentsline {subsubsection}{To Work with {\tt  setx()}}{81}{section*.28}}
-\@writefile{toc}{\contentsline {subsubsection}{Compatibility with {\tt  sim()}}{81}{section*.29}}
-\@writefile{toc}{\contentsline {paragraph}{Simulating Parameters}{81}{section*.30}}
-\@writefile{toc}{\contentsline {paragraph}{Calculating Quantities of Interest}{83}{section*.31}}
-\@writefile{toc}{\contentsline {section}{\numberline {9.2}Getting Ready for the GUI}{85}{section.9.2}}
-\@writefile{toc}{\contentsline {section}{\numberline {9.3}Formatting Reference Manual Pages}{85}{section.9.3}}
-\newlabel{s:format}{{9.3}{85}{Formatting Reference Manual Pages\relax }{section.9.3}{}}
-\@writefile{toc}{\contentsline {part}{III\hspace  {1em}Reference Manual}{88}{part.3}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {10}Main Commands}{89}{chapter.10}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{s:main}{{10}{89}{Main Commands\relax }{chapter.10}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {10.1}{\tt  zelig}: Estimating a Statistical Model}{89}{section.10.1}}
-\newlabel{ss:zelig}{{10.1}{89}{{\tt zelig}: Estimating a Statistical Model\relax }{section.10.1}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{89}{section*.33}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{89}{section*.34}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{89}{section*.35}}
-\newlabel{by}{{10.1}{91}{Arguments\relax }{section*.35}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{91}{section*.36}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{91}{section*.37}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{92}{section*.38}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{92}{section*.39}}
-\@input{commands/setx.aux}
-\@input{commands/sim.aux}
-\@input{commands/summary.aux}
-\@input{commands/plot.zelig.aux}
-\@input{commands/print.aux}
-\@input{commands/replicate.aux}
-\citation{HoImaKin05b}
-\@writefile{toc}{\contentsline {chapter}{\numberline {11}Supplementary Commands}{107}{chapter.11}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {11.1}{\tt  matchit}: Create matched data}{107}{section.11.1}}
-\newlabel{matchit}{{11.1}{107}{{\tt matchit}: Create matched data\relax }{section.11.1}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{107}{section*.83}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{107}{section*.84}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{107}{section*.85}}
-\@writefile{toc}{\contentsline {paragraph}{Arguments for All Matching Methods}{107}{section*.86}}
-\newlabel{subsubsec:inputs-all}{{11.1}{108}{Additional Arguments for Specification of Distance Measures\relax }{section*.87}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Specification of Distance Measures}{108}{section*.87}}
-\citation{Imai05}
-\newlabel{subsubsec:inputs-subclass}{{11.1}{110}{Additional Arguments for Subclassification\relax }{section*.88}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Subclassification}{110}{section*.88}}
-\newlabel{subsubsec:inputs-nearest}{{11.1}{110}{Additional Arguments for Nearest Neighbor Matching\relax }{section*.89}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Nearest Neighbor Matching}{110}{section*.89}}
-\newlabel{subsubsec:inputs-optimal}{{11.1}{111}{Additional Arguments for Optimal Matching\relax }{section*.90}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Optimal Matching}{111}{section*.90}}
-\newlabel{subsubsec:inputs-full}{{11.1}{111}{Additional Arguments for Full Matching\relax }{section*.91}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Full Matching}{111}{section*.91}}
-\newlabel{subsubsec:inputs-genetic}{{11.1}{111}{Additional Arguments for Genetic Matching\relax }{section*.92}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Genetic Matching}{111}{section*.92}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{112}{section*.93}}
-\newlabel{sec:outputs}{{11.1}{112}{Output Values\relax }{section*.93}{}}
-\citation{HoImaKin07}
-\citation{HoImaKin05b}
-\citation{StoKinZen06}
-\citation{KinZen06a}
-\citation{KinZen06b}
-\citation{VenRip02}
-\citation{HasTib90}
-\citation{Ripley96}
-\citation{BreFriOls84}
-\citation{Hansen04}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{113}{section*.94}}
-\citation{DiaSek05}
-\@input{commands/mi.aux}
-\@input{commands/network.aux}
-\@input{commands/plot.ci.aux}
-\@input{commands/rocplot.aux}
-\@input{commands/ternaryplot.aux}
-\@input{commands/ternarypoints.aux}
-\citation{King89}
-\citation{KinTomWit00}
-\@writefile{toc}{\contentsline {chapter}{\numberline {12}Models Zelig Can Run}{124}{chapter.12}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\newlabel{s:model.details}{{12}{124}{Models Zelig Can Run\relax }{chapter.12}{}}
-\@input{models/arima.aux}
-\@input{models/blogit.aux}
-\@input{models/bprobit.aux}
-\@input{models/ei.dynamic.aux}
-\@input{models/ei.hier.aux}
-\@input{models/eiRxC.aux}
-\@input{models/exp.aux}
-\@input{models/factor.bayes.aux}
-\@input{models/factor.mix.aux}
-\@input{models/factor.ord.aux}
-\@input{models/gamma.aux}
-\@input{models/irt1d.aux}
-\@input{models/irtkd.aux}
-\@input{models/logit.aux}
-\@input{models/logit.bayes.aux}
-\@input{models/lognormal.aux}
-\@input{models/ls.aux}
-\@input{models/mlogit.aux}
-\@input{models/mlogit.bayes.aux}
-\@input{models/negbin.aux}
-\@input{models/netls.aux}
-\@input{models/netlogit.aux}
-\@input{models/normal.aux}
-\@input{models/normal.bayes.aux}
-\@input{models/ologit.aux}
-\@input{models/oprobit.aux}
-\@input{models/oprobit.bayes.aux}
-\@input{models/poisson.aux}
-\@input{models/poisson.bayes.aux}
-\@input{models/probit.aux}
-\@input{models/probit.bayes.aux}
-\@input{models/relogit.aux}
-\@input{models/tobit.aux}
-\@input{models/tobit.bayes.aux}
-\@input{models/weibull.aux}
-\@writefile{toc}{\contentsline {chapter}{\numberline {13}Commands for Programmers and Contributors}{308}{chapter.13}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {13.1}{\tt  describe}: Describe a model's systematic and stochastic parameters}{308}{section.13.1}}
-\newlabel{describe.mymodel}{{13.1}{308}{{\tt describe}: Describe a model's systematic and stochastic parameters\relax }{section.13.1}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{308}{section*.394}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{308}{section*.395}}
-\@writefile{toc}{\contentsline {subsubsection}{Arguments}{308}{section*.396}}
-\newlabel{categories}{{13.1}{308}{Arguments\relax }{section*.396}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{308}{section*.397}}
-\@writefile{toc}{\contentsline {subsubsection}{Examples}{310}{section*.398}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{312}{section*.399}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{312}{section*.400}}
-\@input{commands/model.end.aux}
-\@input{commands/model.frame.multiple.aux}
-\@input{commands/model.matrix.multiple.aux}
-\@input{commands/parse.formula.aux}
-\@input{commands/parse.par.aux}
-\@input{commands/put.start.aux}
-\@input{commands/set.start.aux}
-\@input{commands/tag.aux}
-\@writefile{toc}{\contentsline {part}{IV\hspace  {1em}Appendices}{326}{part.4}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {A}Frequently Asked Questions}{327}{appendix.A}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {A.1}For All Zelig Users}{327}{section.A.1}}
-\@writefile{toc}{\contentsline {section}{\numberline {A.2}For Zelig Contributors}{331}{section.A.2}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {B}What's New? What's Next?}{333}{appendix.B}}
-\@writefile{lof}{\addvspace {10\p@ }}
-\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {B.1}What's New: Zelig Release Notes}{333}{section.B.1}}
-\newlabel{release.notes}{{B.1}{333}{What's New: Zelig Release Notes\relax }{section.B.1}{}}
-\newlabel{table.compat}{{B.1}{333}{What's New: Zelig Release Notes\relax }{section.B.1}{}}
-\bibstyle{asa}
-\bibdata{gk,gkpubs}
-\@writefile{toc}{\contentsline {section}{\numberline {B.2}What's Next?}{339}{section.B.2}}
-\bibcite{AdoKinHer03}{{1}{2003}{{Adolph et~al.}}{{Adolph, Gary~King, and Shotts}}}
-\bibcite{Andrews91}{{2}{1991}{{Andrews}}{{}}}
-\bibcite{BreFriOls84}{{3}{1984}{{Breiman et~al.}}{{Breiman, Friedman, Olshen, and Stone}}}
-\bibcite{BroDav91}{{4}{1991}{{Brockwell and Davis}}{{}}}
-\bibcite{ButCar01}{{5}{2001}{{Butts and Carley}}{{}}}
-\bibcite{DiaSek05}{{6}{2005}{{Diamond and Sekhon}}{{}}}
-\bibcite{Enders04}{{7}{2004}{{Enders}}{{}}}
-\bibcite{Friendly00}{{8}{2000}{{Friendly}}{{}}}
-\bibcite{GelKin94a}{{9}{1994}{{Gelman and King}}{{}}}
-\bibcite{Hansen04}{{10}{2004}{{Hansen}}{{}}}
-\bibcite{HasTib90}{{11}{1990}{{Hastie and Tibshirani}}{{}}}
-\bibcite{HoImaKin05b}{{12}{2005}{{Ho et~al.}}{{Ho, Imai, King, and Stuart}}}
-\bibcite{HoImaKin07}{{13}{2007}{{Ho et~al.}}{{Ho, Imai, King, and Stuart}}}
-\bibcite{Huber81}{{14}{1981}{{Huber}}{{}}}
-\bibcite{Imai05}{{15}{2005}{{Imai}}{{}}}
-\bibcite{KatKin99}{{16}{1999}{{Katz and King}}{{}}}
-\bibcite{King89}{{17}{1989}{{King}}{{}}}
-\bibcite{King95}{{18}{1995}{{King}}{{}}}
-\bibcite{King97}{{19}{1997}{{King}}{{}}}
-\bibcite{KinAltBur90}{{20}{1990}{{King et~al.}}{{King, Alt, Burns, and Laver}}}
-\bibcite{KinHonJos01}{{21}{2001}{{King et~al.}}{{King, Honaker, Joseph, and Scheve}}}
-\bibcite{KinMurSal04}{{22}{2004}{{King et~al.}}{{King, Murray, Salomon, and Tandon}}}
-\bibcite{KinTomWit00}{{23}{2000}{{King et~al.}}{{King, Tomz, and Wittenberg}}}
-\bibcite{KinZen01b}{{24}{2001{a}}{{King and Zeng}}{{}}}
-\bibcite{KinZen01}{{25}{2001{b}}{{King and Zeng}}{{}}}
-\bibcite{KinZen02b}{{26}{2002{a}}{{King and Zeng}}{{}}}
-\bibcite{KinZen02}{{27}{2002{b}}{{King and Zeng}}{{}}}
-\bibcite{KinZen06a}{{28}{2006{a}}{{King and Zeng}}{{}}}
-\bibcite{KinZen06b}{{29}{2006{b}}{{King and Zeng}}{{}}}
-\bibcite{LumHea99}{{30}{1999}{{Lumley and Heagerty}}{{}}}
-\bibcite{MarQui05}{{31}{2005}{{Martin and Quinn}}{{}}}
-\bibcite{Martin92}{{32}{1992}{{Martin}}{{}}}
-\bibcite{McCNel89}{{33}{1989}{{McCullagh and Nelder}}{{}}}
-\bibcite{PluBesCowVin05}{{34}{2005}{{Plummer et~al.}}{{Plummer, Best, Cowles, and Vines}}}
-\bibcite{Qui04}{{35}{2004}{{Quinn}}{{}}}
-\bibcite{Ripley96}{{36}{1996}{{Ripley}}{{}}}
-\bibcite{RosJiaKin01}{{37}{2001}{{Rosen et~al.}}{{Rosen, Jiang, King, and Tanner}}}
-\bibcite{SchSla01}{{38}{2001}{{Scheve and Slaughter}}{{}}}
-\bibcite{StoKinZen06}{{39}{2006}{{Stoll et~al.}}{{Stoll, King, and Zeng}}}
-\bibcite{VenRip02}{{40}{2002}{{Venables and Ripley}}{{}}}
-\bibcite{White80}{{41}{1980}{{White}}{{}}}
-\bibcite{YeeHas03}{{42}{2003}{{Yee and Hastie}}{{}}}
-\bibcite{Zeileis04}{{43}{2004}{{Zeileis}}{{}}}
diff --git a/inst/doc/zelig.bbl b/inst/doc/zelig.bbl
deleted file mode 100644
index 08d46d8..0000000
--- a/inst/doc/zelig.bbl
+++ /dev/null
@@ -1,218 +0,0 @@
-\begin{thebibliography}{43}
-\newcommand{\enquote}[1]{``#1''}
-\expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi
-
-\bibitem[{Adolph et~al.(2003)Adolph, Gary~King, and Shotts}]{AdoKinHer03}
-Adolph, C., Gary~King, w. M. C.~H., and Shotts, K.~W. (2003), \enquote{A
-  Consensus on Second Stage Analyses in Ecological Inference Models,}
-  \textit{Political Analysis}, 11, 86--94,
-  http://gking.harvard.edu/files/abs/akhs-abs.shtml.
-
-\bibitem[{Andrews(1991)}]{Andrews91}
-Andrews, D.~W. (1991), \enquote{Heteroskedasticity and Autocorrelation
-  Consistent Covariance Matrix Estimation,} \textit{Econometrica}, 59,
-  817--858.
-
-\bibitem[{Breiman et~al.(1984)Breiman, Friedman, Olshen, and
-  Stone}]{BreFriOls84}
-Breiman, L., Friedman, J.~H., Olshen, R.~A., and Stone, C.~J. (1984),
-  \textit{Classification and Regression Trees}, New York, New York: Chapman \&
-  Hall.
-
-\bibitem[{Brockwell and Davis(1991)}]{BroDav91}
-Brockwell, P.~J. and Davis, R.~A. (1991), \textit{Time Series: Theory and
-  Methods}, Springer-Verlag, 2nd ed.
-
-\bibitem[{Butts and Carley(2001)}]{ButCar01}
-Butts, C. and Carley, K. (2001), \enquote{Multivariate Methods for
-  Interstructural Analysis,} Tech. rep., CASOS working paper, Carnegie Mellon
-  University.
-
-\bibitem[{Diamond and Sekhon(2005)}]{DiaSek05}
-Diamond, A. and Sekhon, J. (2005), \enquote{Genetic Matching for Estimating
-  Causal Effects: A New Method of Achieving Balance in Observational Studies,}
-  http://jsekhon.fas.harvard.edu/.
-
-\bibitem[{Enders(2004)}]{Enders04}
-Enders, W. (2004), \textit{Applied Econometric Time Series}, Wiley, 2nd ed.
-
-\bibitem[{Friendly(2000)}]{Friendly00}
-Friendly, M. (2000), \textit{Visualizing Categorical Data}, SAS Institute.
-
-\bibitem[{Gelman and King(1994)}]{GelKin94a}
-Gelman, A. and King, G. (1994), \enquote{A Unified Method of Evaluating
-  Electoral Systems and Redistricting Plans,} \textit{American Journal of
-  Political Science}, 38, 514--554,
-  http://gking.harvard.edu/files/abs/writeit-abs.shtml.
-
-\bibitem[{Hansen(2004)}]{Hansen04}
-Hansen, B.~B. (2004), \enquote{Full Matching in an Observational Study of
-  Coaching for the {SAT},} \textit{Journal of the American Statistical
-  Association}, 99, 609--618.
-
-\bibitem[{Hastie and Tibshirani(1990)}]{HasTib90}
-Hastie, T.~J. and Tibshirani, R. (1990), \textit{Generalized Additive Models},
-  London: Chapman Hall.
-
-\bibitem[{Ho et~al.(2005)Ho, Imai, King, and Stuart}]{HoImaKin05b}
-Ho, D., Imai, K., King, G., and Stuart, E. (2005), \enquote{Matchit: Matching
-  as Nonparametric Preprocessing for Parametric Causal Inference,}
-  Http://gking.harvard.edu/matchit/.
-
-\bibitem[{Ho et~al.(2007)Ho, Imai, King, and Stuart}]{HoImaKin07}
---- (2007), \enquote{Matching as Nonparametric Preprocessing for Reducing Model
-  Dependence in Parametric Causal Inference,} \textit{Political Analysis},
-  http://gking.harvard.edu/files/abs/matchp-abs.shtml.
-
-\bibitem[{Huber(1981)}]{Huber81}
-Huber, P.~J. (1981), \textit{Robust Statistics}, Wiley.
-
-\bibitem[{Imai(2005)}]{Imai05}
-Imai, K. (2005), \enquote{Do Get-Out-The-Vote Calls Reduce Turnout? The
-  Importance of Statistical Methods for Field Experiments,} \textit{American
-  Political Science Review}, 99, 283--300.
-
-\bibitem[{Katz and King(1999)}]{KatKin99}
-Katz, J. and King, G. (1999), \enquote{A Statistical Model for Multiparty
-  Electoral Data,} \textit{American Political Science Review}, 93, 15--32,
-  http://gking.harvard.edu/files/abs/multiparty-abs.shtml.
-
-\bibitem[{King(1989)}]{King89}
-King, G. (1989), \textit{Unifying Political Methodology: The Likelihood Theory
-  of Statistical Inference}, Michigan University Press.
-
-\bibitem[{King(1995)}]{King95}
---- (1995), \enquote{Replication, Replication,} \textit{PS: Political Science
-  and Politics}, 28, 443--499,
-  http://gking.harvard.edu/files/abs/replication-abs.shtml.
-
-\bibitem[{King(1997)}]{King97}
---- (1997), \textit{A Solution to the Ecological Inference Problem:
-  Reconstructing Individual Behavior from Aggregate Data}, Princeton: Princeton
-  University Press, http://gking.harvard.edu/eicamera/kinroot.html.
-
-\bibitem[{King et~al.(1990)King, Alt, Burns, and Laver}]{KinAltBur90}
-King, G., Alt, J., Burns, N., and Laver, M. (1990), \enquote{A Unified Model of
-  Cabinet Dissolution in Parliamentary Democracies,} \textit{American Journal
-  of Political Science}, 34, 846--871,
-  http://gking.harvard.edu/files/abs/coal-abs.shtml.
-
-\bibitem[{King et~al.(2001)King, Honaker, Joseph, and Scheve}]{KinHonJos01}
-King, G., Honaker, J., Joseph, A., and Scheve, K. (2001), \enquote{Analyzing
-  Incomplete Political Science Data: An Alternative Algorithm for Multiple
-  Imputation,} \textit{American Political Science Review}, 95, 49--69,
-  http://gking.harvard.edu/files/abs/evil-abs.shtml.
-
-\bibitem[{King et~al.(2004)King, Murray, Salomon, and Tandon}]{KinMurSal04}
-King, G., Murray, C.~J., Salomon, J.~A., and Tandon, A. (2004),
-  \enquote{Enhancing the Validity and Cross-cultural Comparability of
-  Measurement in Survey Research,} \textit{American Political Science Review},
-  98, 191--205, http://gking.harvard.edu/files/abs/vign-abs.shtml.
-
-\bibitem[{King et~al.(2000)King, Tomz, and Wittenberg}]{KinTomWit00}
-King, G., Tomz, M., and Wittenberg, J. (2000), \enquote{Making the Most of
-  Statistical Analyses: Improving Interpretation and Presentation,}
-  \textit{American Journal of Political Science}, 44, 341--355,
-  http://gking.harvard.edu/files/abs/making-abs.shtml.
-
-\bibitem[{King and Zeng(2001{\natexlab{a}})}]{KinZen01b}
-King, G. and Zeng, L. (2001{\natexlab{a}}), \enquote{Explaining Rare Events in
-  International Relations,} \textit{International Organization}, 55, 693--715,
-  http://gking.harvard.edu/files/abs/baby0s-abs.shtml.
-
-\bibitem[{King and Zeng(2001{\natexlab{b}})}]{KinZen01}
---- (2001{\natexlab{b}}), \enquote{Logistic Regression in Rare Events Data,}
-  \textit{Political Analysis}, 9, 137--163,
-  http://gking.harvard.edu/files/abs/0s-abs.shtml.
-
-\bibitem[{King and Zeng(2002{\natexlab{a}})}]{KinZen02b}
---- (2002{\natexlab{a}}), \enquote{Estimating Risk and Rate Levels, Ratios, and
-  Differences in Case-Control Studies,} \textit{Statistics in Medicine}, 21,
-  1409--1427, http://gking.harvard.edu/files/abs/1s-abs.shtml.
-
-\bibitem[{King and Zeng(2002{\natexlab{b}})}]{KinZen02}
---- (2002{\natexlab{b}}), \enquote{Improving Forecasts of State Failure,}
-  \textit{World Politics}, 53, 623--658,
-  http://gking.harvard.edu/files/abs/civil-abs.shtml.
-
-\bibitem[{King and Zeng(2006{\natexlab{a}})}]{KinZen06a}
---- (2006{\natexlab{a}}), \enquote{The Dangers of Extreme Counterfactuals,}
-  \textit{Political Analysis}, 14, 131--159,
-  http://gking.harvard.edu/files/abs/counterft-abs.shtml.
-
-\bibitem[{King and Zeng(2006{\natexlab{b}})}]{KinZen06b}
---- (2006{\natexlab{b}}), \enquote{Replication Data Set for `When Can History
-  be Our Guide? The Pitfalls of Counterfactual Inference',}
-  Http://id.thedata.org/hdl\%3A1902.1\%2FDXRXCFAWPK hdl:1902.1/DXRXCFAWPK
-  UNF:3:DaYlT6QSX9r0D50ye+tXpA== Murray Research Archive [distributor].
-
-\bibitem[{Lumley and Heagerty(1999)}]{LumHea99}
-Lumley, T. and Heagerty, P. (1999), \enquote{Weighted Empirical Adaptive
-  Variance Estimators for Correlated Data Regression,} \textit{jrssb}, 61,
-  459--477.
-
-\bibitem[{Martin and Quinn(2005)}]{MarQui05}
-Martin, A.~D. and Quinn, K.~M. (2005), \textit{MCMCpack: Markov chain Monte
-  Carlo (MCMC) Package}.
-
-\bibitem[{Martin(1992)}]{Martin92}
-Martin, L. (1992), \textit{Coercive Cooperation: Explaining Multilateral
-  Economic Sanctions}, Princeton University Press, please inquire with Lisa
-  Martin before publishing results from these data, as this dataset includes
-  errors that have since been corrected.
-
-\bibitem[{McCullagh and Nelder(1989)}]{McCNel89}
-McCullagh, P. and Nelder, J.~A. (1989), \textit{Generalized Linear Models},
-  no.~37 in Monograph on Statistics and Applied Probability, Chapman \& Hall,
-  2nd ed.
-
-\bibitem[{Plummer et~al.(2005)Plummer, Best, Cowles, and
-  Vines}]{PluBesCowVin05}
-Plummer, M., Best, N., Cowles, K., and Vines, K. (2005), \textit{coda: Output
-  analysis and diagnostics for MCMC}.
-
-\bibitem[{Quinn(2004)}]{Qui04}
-Quinn, K. (2004), \enquote{Ecological Inference in the Presence of Temporal
-  Dependence,} in \textit{Ecological Inference: New Methodological Strategies},
-  eds. King, G., Rosen, O., and Tanner, M.~A., New York: Cambridge University
-  Press.
-
-\bibitem[{Ripley(1996)}]{Ripley96}
-Ripley, B. (1996), \textit{Pattern Recognition and Neural Networks}, Cambridge
-  Univeristy Press.
-
-\bibitem[{Rosen et~al.(2001)Rosen, Jiang, King, and Tanner}]{RosJiaKin01}
-Rosen, O., Jiang, W., King, G., and Tanner, M.~A. (2001), \enquote{Bayesian and
-  Frequentist Inference for Ecological Inference: The $R \times C$ Case,}
-  \textit{Statistica Neerlandica}, 55, 134--156,
-  http://gking.harvard.edu/files/abs/rosen-abs.shtml.
-
-\bibitem[{Scheve and Slaughter(2001)}]{SchSla01}
-Scheve, K. and Slaughter, M. (2001), \enquote{Labor Market Competition and
-  Individual Preferences over Immigration Policy,} \textit{Review of Economics
-  and Statistics}, 83, 133--145, sample data include only the first five of ten
-  multiply imputed data sets.
-
-\bibitem[{Stoll et~al.(2006)Stoll, King, and Zeng}]{StoKinZen06}
-Stoll, H., King, G., and Zeng, L. (2006), \enquote{WhatIf: Software for
-  Evaluating Counterfactuals,} \textit{Journal of Statistical Software}, 15,
-  http://gking.harvard.edu/whatif/.
-
-\bibitem[{Venables and Ripley(2002)}]{VenRip02}
-Venables, W.~N. and Ripley, B.~D. (2002), \textit{Modern Applied Statistics
-  with S}, Springer-Verlag, 4th ed.
-
-\bibitem[{White(1980)}]{White80}
-White, H. (1980), \enquote{A Heteroskedasticity-Consistent Covariance Matrix
-  Estimator and a Direct Test for Heteroskedasticity,} \textit{Econometrica},
-  48, 817--838.
-
-\bibitem[{Yee and Hastie(2003)}]{YeeHas03}
-Yee, T.~W. and Hastie, T.~J. (2003), \enquote{Reduced-rank vector generalized
-  linear models,} \textit{Statistical Modelling}, 3, 15--41.
-
-\bibitem[{Zeileis(2004)}]{Zeileis04}
-Zeileis, A. (2004), \enquote{Econometric Computing with HC and HAC Covariance
-  Matrix Estimators,} \textit{Journal of Statistical Software}, 11, 1--17.
-
-\end{thebibliography}
diff --git a/inst/doc/zelig.blg b/inst/doc/zelig.blg
deleted file mode 100644
index f257dec..0000000
--- a/inst/doc/zelig.blg
+++ /dev/null
@@ -1,105 +0,0 @@
-This is BibTeX, Version 0.99c (Web2C 7.4.5)
-The top-level auxiliary file: zelig.aux
-A level-1 auxiliary file: acknowledgments.aux
-A level-1 auxiliary file: commands/setx.aux
-A level-1 auxiliary file: commands/sim.aux
-A level-1 auxiliary file: commands/summary.aux
-A level-1 auxiliary file: commands/plot.zelig.aux
-A level-1 auxiliary file: commands/print.aux
-A level-1 auxiliary file: commands/replicate.aux
-A level-1 auxiliary file: commands/mi.aux
-A level-1 auxiliary file: commands/network.aux
-A level-1 auxiliary file: commands/plot.ci.aux
-A level-1 auxiliary file: commands/rocplot.aux
-A level-1 auxiliary file: commands/ternaryplot.aux
-A level-1 auxiliary file: commands/ternarypoints.aux
-A level-1 auxiliary file: models/arima.aux
-A level-1 auxiliary file: models/blogit.aux
-A level-1 auxiliary file: models/bprobit.aux
-A level-1 auxiliary file: models/ei.dynamic.aux
-A level-1 auxiliary file: models/ei.hier.aux
-A level-1 auxiliary file: models/eiRxC.aux
-A level-1 auxiliary file: models/exp.aux
-A level-1 auxiliary file: models/factor.bayes.aux
-A level-1 auxiliary file: models/factor.mix.aux
-A level-1 auxiliary file: models/factor.ord.aux
-A level-1 auxiliary file: models/gamma.aux
-A level-1 auxiliary file: models/irt1d.aux
-A level-1 auxiliary file: models/irtkd.aux
-A level-1 auxiliary file: models/logit.aux
-A level-1 auxiliary file: models/logit.bayes.aux
-A level-1 auxiliary file: models/lognormal.aux
-A level-1 auxiliary file: models/ls.aux
-A level-1 auxiliary file: models/mlogit.aux
-A level-1 auxiliary file: models/mlogit.bayes.aux
-A level-1 auxiliary file: models/negbin.aux
-A level-1 auxiliary file: models/netls.aux
-A level-1 auxiliary file: models/netlogit.aux
-A level-1 auxiliary file: models/normal.aux
-A level-1 auxiliary file: models/normal.bayes.aux
-A level-1 auxiliary file: models/ologit.aux
-A level-1 auxiliary file: models/oprobit.aux
-A level-1 auxiliary file: models/oprobit.bayes.aux
-A level-1 auxiliary file: models/poisson.aux
-A level-1 auxiliary file: models/poisson.bayes.aux
-A level-1 auxiliary file: models/probit.aux
-A level-1 auxiliary file: models/probit.bayes.aux
-A level-1 auxiliary file: models/relogit.aux
-A level-1 auxiliary file: models/tobit.aux
-A level-1 auxiliary file: models/tobit.bayes.aux
-A level-1 auxiliary file: models/weibull.aux
-A level-1 auxiliary file: commands/model.end.aux
-A level-1 auxiliary file: commands/model.frame.multiple.aux
-A level-1 auxiliary file: commands/model.matrix.multiple.aux
-A level-1 auxiliary file: commands/parse.formula.aux
-A level-1 auxiliary file: commands/parse.par.aux
-A level-1 auxiliary file: commands/put.start.aux
-A level-1 auxiliary file: commands/set.start.aux
-A level-1 auxiliary file: commands/tag.aux
-The style file: asa.bst
-Database file #1: gk.bib
-Database file #2: gkpubs.bib
-Warning--empty journal in KinZen06b
-Warning--empty pages in Qui04
-You've used 43 entries,
-            2777 wiz_defined-function locations,
-            1056 strings with 14077 characters,
-and the built_in function-call counts, 19256 in all, are:
-= -- 1787
-> -- 891
-< -- 41
-+ -- 336
-- -- 276
-* -- 1780
-:= -- 3403
-add.period$ -- 72
-call.type$ -- 43
-change.case$ -- 293
-chr.to.int$ -- 64
-cite$ -- 45
-duplicate$ -- 879
-empty$ -- 1383
-format.name$ -- 414
-if$ -- 3721
-int.to.chr$ -- 4
-int.to.str$ -- 1
-missing$ -- 50
-newline$ -- 134
-num.names$ -- 174
-pop$ -- 306
-preamble$ -- 1
-purify$ -- 263
-quote$ -- 0
-skip$ -- 582
-stack$ -- 0
-substring$ -- 1093
-swap$ -- 208
-text.length$ -- 1
-text.prefix$ -- 0
-top$ -- 0
-type$ -- 351
-warning$ -- 2
-while$ -- 177
-width$ -- 0
-write$ -- 481
-(There were 2 warnings)
diff --git a/inst/doc/zelig.log b/inst/doc/zelig.log
deleted file mode 100644
index 49a6af9..0000000
--- a/inst/doc/zelig.log
+++ /dev/null
@@ -1,4338 +0,0 @@
-This is pdfTeX, Version 3.14159-1.10b (Web2C 7.4.5) (format=pdflatex 2006.1.19)  29 MAY 2007 22:42
-**zelig
-(./zelig.tex{/usr/share/texmf/pdftex/config/pdftex.cfg}
-LaTeX2e <2001/06/01>
-Babel <v3.7h> and hyphenation patterns for american, french, german, ngerman, n
-ohyphenation, loaded.
-(/usr/share/texmf/tex/latex/base/book.cls
-Document Class: book 2001/04/21 v1.4e Standard LaTeX document class
-(/usr/share/texmf/tex/latex/base/bk12.clo
-File: bk12.clo 2001/04/21 v1.4e Standard LaTeX file (size option)
-)
-\c at part=\count79
-\c at chapter=\count80
-\c at section=\count81
-\c at subsection=\count82
-\c at subsubsection=\count83
-\c at paragraph=\count84
-\c at subparagraph=\count85
-\c at figure=\count86
-\c at table=\count87
-\abovecaptionskip=\skip41
-\belowcaptionskip=\skip42
-\bibindent=\dimen102
-)
-(/usr/share/texmf/tex/latex/natbib/bibentry.sty
-Package: bibentry 1999/02/23 1.2 (PWD)
-) (./upquote.sty
-Package: upquote 2003/08/11 v1.1 Covington's upright-quote modification to verb
-atim and verb
-
-(/usr/share/texmf/tex/latex/base/textcomp.sty
-Package: textcomp 2001/06/05 v1.94 Standard LaTeX package
-
-(/usr/share/texmf/tex/latex/base/ts1enc.def
-File: ts1enc.def 2001/06/05 v3.0e (jk/car/fm) Standard LaTeX file
-)))
-(/usr/share/texmf/tex/latex/graphics/graphicx.sty
-Package: graphicx 1999/02/16 v1.0f Enhanced LaTeX Graphics (DPC,SPQR)
-
-(/usr/share/texmf/tex/latex/graphics/keyval.sty
-Package: keyval 1999/03/16 v1.13 key=value parser (DPC)
-\KV at toks@=\toks14
-)
-(/usr/share/texmf/tex/latex/graphics/graphics.sty
-Package: graphics 2001/07/07 v1.0n Standard LaTeX Graphics (DPC,SPQR)
-
-(/usr/share/texmf/tex/latex/graphics/trig.sty
-Package: trig 1999/03/16 v1.09 sin cos tan (DPC)
-)
-(/usr/share/texmf/tex/latex/config/graphics.cfg
-File: graphics.cfg 2001/08/31 v1.1 graphics configuration of teTeX/TeXLive
-)
-Package graphics Info: Driver file: pdftex.def on input line 80.
-
-(/usr/share/texmf/tex/latex/graphics/pdftex.def
-File: pdftex.def 2002/06/19 v0.03k graphics/color for pdftex
-\Gread at gobject=\count88
-))
-\Gin at req@height=\dimen103
-\Gin at req@width=\dimen104
-)
-(/nfs/fs1/home/K/king/texinputs/natbib.sty
-Package: natbib 1999/02/25 6.9 (PWD)
-\bibhang=\skip43
-\bibsep=\skip44
-LaTeX Info: Redefining \cite on input line 486.
-\c at NAT@ctr=\count89
-)
-(/usr/share/texmf/tex/latex/amsmath/amsmath.sty
-Package: amsmath 2000/07/18 v2.13 AMS math features
-\@mathmargin=\skip45
-
-For additional information on amsmath, use the `?' option.
-(/usr/share/texmf/tex/latex/amsmath/amstext.sty
-Package: amstext 2000/06/29 v2.01
-
-(/usr/share/texmf/tex/latex/amsmath/amsgen.sty
-File: amsgen.sty 1999/11/30 v2.0
-\@emptytoks=\toks15
-\ex@=\dimen105
-))
-(/usr/share/texmf/tex/latex/amsmath/amsbsy.sty
-Package: amsbsy 1999/11/29 v1.2d
-\pmbraise@=\dimen106
-)
-(/usr/share/texmf/tex/latex/amsmath/amsopn.sty
-Package: amsopn 1999/12/14 v2.01 operator names
-)
-\inf at bad=\count90
-LaTeX Info: Redefining \frac on input line 211.
-\uproot@=\count91
-\leftroot@=\count92
-LaTeX Info: Redefining \overline on input line 307.
-\classnum@=\count93
-\DOTSCASE@=\count94
-LaTeX Info: Redefining \ldots on input line 379.
-LaTeX Info: Redefining \dots on input line 382.
-LaTeX Info: Redefining \cdots on input line 467.
-\Mathstrutbox@=\box26
-\strutbox@=\box27
-\big at size=\dimen107
-LaTeX Font Info:    Redeclaring font encoding OML on input line 567.
-LaTeX Font Info:    Redeclaring font encoding OMS on input line 568.
-\macc at depth=\count95
-\c at MaxMatrixCols=\count96
-\dotsspace@=\muskip10
-\c at parentequation=\count97
-\dspbrk at lvl=\count98
-\tag at help=\toks16
-\row@=\count99
-\column@=\count100
-\maxfields@=\count101
-\andhelp@=\toks17
-\eqnshift@=\dimen108
-\alignsep@=\dimen109
-\tagshift@=\dimen110
-\tagwidth@=\dimen111
-\totwidth@=\dimen112
-\lineht@=\dimen113
-\@envbody=\toks18
-\multlinegap=\skip46
-\multlinetaggap=\skip47
-\mathdisplay at stack=\toks19
-LaTeX Info: Redefining \[ on input line 2666.
-LaTeX Info: Redefining \] on input line 2667.
-)
-(/usr/share/texmf/tex/latex/amsfonts/amssymb.sty
-Package: amssymb 2002/01/22 v2.2d
-
-(/usr/share/texmf/tex/latex/amsfonts/amsfonts.sty
-Package: amsfonts 2001/10/25 v2.2f
-\symAMSa=\mathgroup4
-\symAMSb=\mathgroup5
-LaTeX Font Info:    Overwriting math alphabet `\mathfrak' in version `bold'
-(Font)                  U/euf/m/n --> U/euf/b/n on input line 132.
-))
-(/usr/share/texmf/tex/latex/tools/verbatim.sty
-Package: verbatim 2001/03/12 v1.5p LaTeX2e package for verbatim enhancements
-\every at verbatim=\toks20
-\verbatim at line=\toks21
-\verbatim at in@stream=\read1
-)
-(/usr/share/texmf/tex/generic/misc/epsf.tex
-This is `epsf.tex' v2.7k <10 July 1997>
-\epsffilein=\read2
-\epsfframemargin=\dimen114
-\epsfframethickness=\dimen115
-\epsfrsize=\dimen116
-\epsftmp=\dimen117
-\epsftsize=\dimen118
-\epsfxsize=\dimen119
-\epsfysize=\dimen120
-\pspoints=\dimen121
-\epsfnoopenhelp=\toks22
-) (/usr/share/latex2html/texinputs/url.sty
-Package: url 1999/03/02  ver 1.4  Verb mode for urls, email addresses, and file
- names
-)
-(/usr/share/latex2html/texinputs/html.sty
-(/usr/share/texmf/tex/latex/hyperref/hyperref.sty
-Package: hyperref 2003/01/22 v6.73n Hypertext links for LaTeX
-\@linkdim=\dimen122
-\Hy at linkcounter=\count102
-\Hy at pagecounter=\count103
-
-(/usr/share/texmf/tex/latex/hyperref/pd1enc.def
-File: pd1enc.def 2003/01/22 v6.73n Hyperref: PDFDocEncoding definition (HO)
-)
-(/usr/share/texmf/tex/latex/config/hyperref.cfg
-File: hyperref.cfg 2002/06/06 v1.2 hyperref configuration of TeXLive and teTeX
-)
-Package hyperref Info: Hyper figures OFF on input line 1792.
-Package hyperref Info: Link nesting OFF on input line 1797.
-Package hyperref Info: Hyper index ON on input line 1800.
-Package hyperref Info: Plain pages ON on input line 1805.
-Package hyperref Info: Backreferencing OFF on input line 1812.
-
-Implicit mode ON; LaTeX internals redefined
-Package hyperref Info: Bookmarks ON on input line 1916.
-LaTeX Info: Redefining \url on input line 2055.
-\Fld at menulength=\count104
-\Field at Width=\dimen123
-\Fld at charsize=\dimen124
-\Choice at toks=\toks23
-\Field at toks=\toks24
-Package hyperref Info: Hyper figures OFF on input line 2513.
-Package hyperref Info: Link nesting OFF on input line 2518.
-Package hyperref Info: Hyper index ON on input line 2521.
-Package hyperref Info: backreferencing OFF on input line 2528.
-Package hyperref Info: Link coloring OFF on input line 2533.
-\c at Item=\count105
-\c at Hfootnote=\count106
-)
-*hyperref using default driver hpdftex*
-(/usr/share/texmf/tex/latex/hyperref/hpdftex.def
-File: hpdftex.def 2003/01/22 v6.73n Hyperref driver for pdfTeX
-
-(/usr/share/texmf/tex/latex/psnfss/pifont.sty
-Package: pifont 2002/09/08 PSNFSS-v9.0a Pi font support (SPQR) 
-LaTeX Font Info:    Try loading font information for U+pzd on input line 62.
-
-(/usr/share/texmf/tex/latex/psnfss/upzd.fd
-File: upzd.fd 2001/06/04 font definitions for U/pzd.
-)
-LaTeX Font Info:    Try loading font information for U+psy on input line 63.
-
-(/usr/share/texmf/tex/latex/psnfss/upsy.fd
-File: upsy.fd 2001/06/04 font definitions for U/psy.
-))
-\Fld at listcount=\count107
-\@outlinefile=\write3
-)
-Package: html 1999/07/19 v1.38 hypertext commands for latex2html (nd, hws, rrm)
-
-\c at lpart=\count108
-\c at lchapter=\count109
-\c at lsection=\count110
-\c at lsubsection=\count111
-\c at lsubsubsection=\count112
-\c at lparagraph=\count113
-\c at lsubparagraph=\count114
-\c at lsubsubparagraph=\count115
-\ptrfile=\write4
-)
-(/usr/share/texmf/tex/latex/tools/dcolumn.sty
-Package: dcolumn 2001/05/28 v1.06 decimal alignment package (DPC)
-
-(/usr/share/texmf/tex/latex/tools/array.sty
-Package: array 1998/05/13 v2.3m Tabular extension package (FMi)
-\col at sep=\dimen125
-\extrarowheight=\dimen126
-\NC at list=\toks25
-\extratabsurround=\skip48
-\backup at length=\skip49
-))
-(/usr/share/texmf/tex/latex/multirow/multirow.sty
-\bigstrutjot=\dimen127
-)
-(/usr/share/texmf/tex/latex/preprint/fullpage.sty
-Package: fullpage 1999/02/23 1.1 (PWD)
-\FP at margin=\skip50
-)
-(/usr/share/texmf/tex/latex/graphics/lscape.sty
-Package: lscape 2000/10/22 v3.01 Landscape Pages (DPC)
-)
-(/usr/share/texmf/tex/generic/xypic/xy.sty
-(/usr/share/texmf/tex/generic/xypic/xy.tex Bootstrap'ing: catcodes, docmode,
-(/usr/share/texmf/tex/generic/xypic/xyrecat.tex)
-(/usr/share/texmf/tex/generic/xypic/xyidioms.tex)
-
- Xy-pic version 3.7 <1999/02/16>
- Copyright (c) 1991-1998 by Kristoffer H. Rose <krisrose at ens-lyon.fr>
- Xy-pic is free software: see the User's Guide for details.
-
-Loading kernel: messages; fonts; allocations: state,
-\X at c=\dimen128
-\Y at c=\dimen129
-\U at c=\dimen130
-\D at c=\dimen131
-\L at c=\dimen132
-\R at c=\dimen133
-\Edge at c=\toks26
-\X at p=\dimen134
-\Y at p=\dimen135
-\U at p=\dimen136
-\D at p=\dimen137
-\L at p=\dimen138
-\R at p=\dimen139
-\Edge at p=\toks27
-\X at origin=\dimen140
-\Y at origin=\dimen141
-\X at xbase=\dimen142
-\Y at xbase=\dimen143
-\X at ybase=\dimen144
-\Y at ybase=\dimen145
-\X at min=\dimen146
-\Y at min=\dimen147
-\X at max=\dimen148
-\Y at max=\dimen149
-\lastobjectbox@=\box28
-\zerodotbox@=\box29
-\almostz@=\dimen150
- direction,
-\d at X=\dimen151
-\d at Y=\dimen152
-\K@=\count116
-\KK@=\count117
-\Direction=\count118
-\K at dXdY=\dimen153
-\K at dYdX=\dimen154
-\xyread@=\read3
-\xywrite@=\write5
-\csp@=\count119
-\quotPTK@=\dimen155
-
-utility macros; pictures: \xy, positions,
-\swaptoks@@=\toks28
-\connectobjectbox@@=\box30
- objects,
-\styletoks@=\toks29
- decorations;
-kernel objects: directionals, circles, text; options; algorithms: directions,
-edges, connections;  Xy-pic loaded)
-Package: xy 1999/02/16 Xy-pic version 3.7
-
-(/usr/share/texmf/tex/generic/xypic/xyall.tex
- Xy-pic option: All features v.3.3
-(/usr/share/texmf/tex/generic/xypic/xycurve.tex
- Xy-pic option: Curve and Spline extension v.3.7 curve,
-\crv at cnt@=\count120
-\crvpts@=\toks30
-\splinebox@=\box31
-\splineval@=\dimen156
-\splinedepth@=\dimen157
-\splinetol@=\dimen158
-\splinelength@=\dimen159
- circles,
-\L@=\dimen160
- loaded)
-(/usr/share/texmf/tex/generic/xypic/xyframe.tex
- Xy-pic option: Frame and Bracket extension v.3.7 loaded)
-(/usr/share/texmf/tex/generic/xypic/xycmtip.tex
- Xy-pic option: Computer Modern tip extension v.3.3
-(/usr/share/texmf/tex/generic/xypic/xytips.tex
- Xy-pic option: More Tips extension v.3.3 loaded) loaded)
-(/usr/share/texmf/tex/generic/xypic/xyline.tex
- Xy-pic option: Line styles extension v.3.6
-\xylinethick@=\dimen161
- loaded)
-(/usr/share/texmf/tex/generic/xypic/xyrotate.tex
- Xy-pic option: Rotate and Scale extension v.3.3 loaded)
-(/usr/share/texmf/tex/generic/xypic/xycolor.tex
- Xy-pic option: Colour extension v.3.3 loaded)
-(/usr/share/texmf/tex/generic/xypic/xymatrix.tex
- Xy-pic option: Matrix feature v.3.4
-\Row=\count121
-\Col=\count122
-\queue@=\toks31
-\queue@@=\toks32
-\qcount@=\count123
-\qcount@@=\count124
-\matrixsize@=\count125
- loaded)
-(/usr/share/texmf/tex/generic/xypic/xyarrow.tex
- Xy-pic option: Arrow and Path feature v.3.5 path, \ar, loaded)
-(/usr/share/texmf/tex/generic/xypic/xygraph.tex
- Xy-pic option: Graph feature v.3.7 loaded) loaded)) (./zelig.aux
-(./acknowledgments.aux) (./commands/setx.aux) (./commands/sim.aux)
-(./commands/summary.aux) (./commands/plot.zelig.aux) (./commands/print.aux)
-(./commands/replicate.aux) (./commands/mi.aux) (./commands/network.aux)
-(./commands/plot.ci.aux) (./commands/rocplot.aux) (./commands/ternaryplot.aux)
-(./commands/ternarypoints.aux) (./models/arima.aux) (./models/blogit.aux)
-(./models/bprobit.aux) (./models/ei.dynamic.aux) (./models/ei.hier.aux)
-(./models/eiRxC.aux) (./models/exp.aux) (./models/factor.bayes.aux)
-(./models/factor.mix.aux) (./models/factor.ord.aux) (./models/gamma.aux)
-(./models/irt1d.aux) (./models/irtkd.aux) (./models/logit.aux)
-(./models/logit.bayes.aux) (./models/lognormal.aux) (./models/ls.aux)
-(./models/mlogit.aux) (./models/mlogit.bayes.aux) (./models/negbin.aux)
-(./models/netls.aux) (./models/netlogit.aux) (./models/normal.aux)
-(./models/normal.bayes.aux) (./models/ologit.aux) (./models/oprobit.aux)
-(./models/oprobit.bayes.aux) (./models/poisson.aux) (./models/poisson.bayes.aux
-) (./models/probit.aux) (./models/probit.bayes.aux) (./models/relogit.aux)
-(./models/tobit.aux) (./models/tobit.bayes.aux) (./models/weibull.aux)
-(./commands/model.end.aux) (./commands/model.frame.multiple.aux)
-(./commands/model.matrix.multiple.aux) (./commands/parse.formula.aux)
-(./commands/parse.par.aux) (./commands/put.start.aux) (./commands/set.start.aux
-) (./commands/tag.aux))
-\openout1 = `zelig.aux'.
-
-LaTeX Font Info:    Checking defaults for OML/cmm/m/it on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for T1/cmr/m/n on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for OT1/cmr/m/n on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for OMS/cmsy/m/n on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for OMX/cmex/m/n on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for U/cmr/m/n on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for TS1/cmr/m/n on input line 64.
-LaTeX Font Info:    Try loading font information for TS1+cmr on input line 64.
- (/usr/share/texmf/tex/latex/base/ts1cmr.fd
-File: ts1cmr.fd 1999/05/25 v2.5h Standard LaTeX font definitions
-)
-LaTeX Font Info:    ... okay on input line 64.
-LaTeX Font Info:    Checking defaults for PD1/pdf/m/n on input line 64.
-LaTeX Font Info:    ... okay on input line 64.
-
-(/usr/share/texmf/tex/context/base/supp-pdf.tex
-(/usr/share/texmf/tex/context/base/supp-mis.tex
-loading : Context Support Macros / Missing
-\protectiondepth=\count126
-\scratchcounter=\count127
-\scratchtoks=\toks33
-\scratchdimen=\dimen162
-\scratchskip=\skip51
-\scratchmuskip=\muskip11
-\scratchbox=\box32
-\scratchread=\read4
-\scratchwrite=\write6
-\zeropoint=\dimen163
-\minusone=\count128
-\thousandpoint=\dimen164
-\emptytoks=\toks34
-\nextbox=\box33
-\nextdepth=\dimen165
-\everyline=\toks35
-\!!counta=\count129
-\!!countb=\count130
-\recursecounter=\count131
-)
-loading : Context Support Macros / PDF
-\nofMPsegments=\count132
-\nofMParguments=\count133
-\everyMPtoPDFconversion=\toks36
-)
-Package hyperref Info: Link coloring OFF on input line 64.
- (/usr/share/texmf/tex/latex/hyperref/nameref.sty
-Package: nameref 2001/01/27 v2.19 Cross-referencing by name of section
-\c at section@level=\count134
-)
-LaTeX Info: Redefining \ref on input line 64.
-LaTeX Info: Redefining \pageref on input line 64.
- (./zelig.out) (./zelig.out)
-\openout3 = `zelig.out'.
-
-LaTeX Font Info:    Try loading font information for U+msa on input line 66.
-(/usr/share/texmf/tex/latex/amsfonts/umsa.fd
-File: umsa.fd 2002/01/19 v2.2g AMS font definitions
-)
-LaTeX Font Info:    Try loading font information for U+msb on input line 66.
-
-(/usr/share/texmf/tex/latex/amsfonts/umsb.fd
-File: umsb.fd 2002/01/19 v2.2g AMS font definitions
-)
-Underfull \hbox (badness 1412) in paragraph at lines 66--66
-[][]/cmr10 at 10.95pt/David Flo-rence Pro-fes-sor of Gov-ern-ment, Har-vard Uni-ve
-r-sity (In-sti-tute for Quan-ti-ta-
- []
-
-
-Underfull \hbox (badness 1533) in paragraph at lines 66--66
-/cmr10 at 10.95pt/tive So-cial Sci-ences, 1737 Cam-bridge Street, Har-vard Uni-ver
--sity, Cam-bridge MA 02138;
- []
-
-[1
-
-
-{/usr/share/texmf/dvips/config/pdftex.map}] (./zelig.toc
-! pdfTeX warning (ext4): destination with the same identifier (name{page.1}) ha
-s been already used, duplicate ignored
-<to be read again> 
-                   \penalty 
-l.41 ...rline {5}Graphing Commands}{44}{chapter.5}
-                                                   [1
-
-] [2] [3] [4])
-\tf at toc=\write7
-\openout7 = `zelig.toc'.
-
-
-(./zelig.bbl) [5]
-\openout2 = `acknowledgments.aux'.
-
- (./acknowledgments.tex) [6
-
-] (./intro.tex
-Chapter 1.
-[7
-
-
-] [8]
-Overfull \hbox (26.64261pt too wide) in paragraph at lines 125--133
-[]/cmr12/Please di-rect in-quiries and prob-lems about Zelig to our list-serv a
-t []zelig at lists.gking.harvard.edu[].
- []
-
-) [9] [10
-
-] (./install.tex
-Chapter 2.
-
-Overfull \hbox (8.01222pt too wide) in paragraph at lines 46--54
-/cmr12/down-load the lat-est []in-staller for Win-dows[] at [][]$/cmtt12/http :
- / / cran . us . r-[]project . org / bin / windows /
- []
-
-[11
-
-] [12] [13] [14]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 223.
-
-[15] [16]
-Overfull \hbox (5.36957pt too wide) in paragraph at lines 380--380
- []/cmtt12/% rm Zelig_XX.tar.gz VGAM_XX.tar.gz zoo_XX.tar.gz sandwich_XX.tar.gz
-[] 
- []
-
-[17]) (./syntax.tex [18]
-Chapter 3.
-[19
-
-]
-LaTeX Font Info:    Try loading font information for TS1+cmtt on input line 82.
-
- (/usr/share/texmf/tex/latex/base/ts1cmtt.fd
-File: ts1cmtt.fd 1999/05/25 v2.5h Standard LaTeX font definitions
-) [20]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 92.
-
-[21]
-Overfull \hbox (18.11003pt too wide) in paragraph at lines 159--161
-[]/cmr12/If your dataset is in a /cmbx12/tab- or space-delimited .txt file/cmr1
-2/, use /cmtt12/read.table("mydata.txt") 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 169--169
- []/cmtt12/> library(foreign)                           # Load the foreign pack
-age. 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 171--171
- []/cmtt12/> spss.data <- read.spss("mydata.sav", to.data.frame = TRUE) # For S
-PSS.[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 182--182
- []/cmtt12/> library(Zelig)                              # Loads the Zelig libr
-ary. 
- []
-
-[22] [23]
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 282--282
-[]/cmtt12/> logic <- c(TRUE, FALSE, TRUE, TRUE, TRUE) # Creates `logic' (5 T/F 
-values).[] 
- []
-
-
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 283--283
-[]/cmtt12/> var1 <- 10:20                             # All integers between 10
- and 20.[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 300--300
- []/cmtt12/> var3 <- log(var2) - 2*var1      # Create `var3' using math operati
-ons.[] 
- []
-
-[24]
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 366--366
-[]/cmtt12/> var <- data$var1               # Copies `var1' from `data', creatin
-g `var'.[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 367.
-
-[25]
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 376--376
-[]/cmtt12/> data$new.var <- var             # Generate `new.var' in `data' usin
-g `var'.[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 383.
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 402--402
- []/cmtt12/> x == y                               # Only the 3rd `x' exactly eq
-uals[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 419--419
- []  /cmtt12/[1] FALSE FALSE FALSE FALSE  TRUE       #  than its counterpart in
- `y'.[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 429--429
- []/cmtt12/[1]  TRUE  TRUE FALSE  TRUE FALSE #  less than their counterparts in
- `y'.[] 
- []
-
-[26]
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 461--461
- []/cmtt12/> v1 <- a > 3                    # Creates the matrix `v1' (T/F valu
-es).[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 462--462
- []/cmtt12/> v2 <- b > 3                    # Creates the matrix `v2' (T/F valu
-es).[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 463--463
- []/cmtt12/> v1 & v2                        # Checks if the (i,j) value in `v1'
- and[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 464--464
- []      /cmtt12/[,1] [,2] [,3]  [,4]       #  `v2' are both TRUE.  Because col
-umns[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 465--465
- []/cmtt12/[1,] FALSE TRUE TRUE FALSE       #  2-4 of `v1' are TRUE, and column
-s 1-3[] 
- []
-
-[27]
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 501--501
-[]/cmtt12/> var3 <- var1 < var2               # Creates a vector of n T/F obser
-vations.[] 
- []
-
-
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 530--530
-[]/cmtt12/> var1[var1 == "don't know"] <- NA   # Replaces all "don't know"'s wi
-th NA's.[] 
- []
-
-[28]) (./Zcommands.tex [29]
-Chapter 4.
-<xymatrix 3x5 334> [30
-
-]
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 90--90
- []/cmtt12/> z.out <- zelig(vote ~ race + educate, model = "logit", data = turn
-out)[] 
- []
-
-[31]
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 94--94
- []/cmtt12/> summary(s.out)                                     # Numerical sum
-mary.[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 95--95
- []/cmtt12/> plot(s.out)                                        # Graphical sum
-mary.[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 101--101
- []/cmtt12/> z.out <- zelig(vote ~ race + educate, model = "logit", data = turn
-out)[] 
- []
-
-[32] [33]
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 211--213
-[]/cmtt12/x.out <- setx(z.out, fn = list(numeric = mean, ordered = median, othe
-rs =
- []
-
-[34]
-Overfull \hbox (5.36957pt too wide) in paragraph at lines 279--279
- []/cmtt12/> z.out <- zelig(vote ~ age + race, model = "logit", data = turnout)
-[] 
- []
-
-[35]
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 361--363
-[]/cmtt12/s.out <- sim(z.out, x = x.out, x1 = NULL, num = c(1000, 100), bootstr
-ap =
- []
-
-
-Overfull \hbox (1.11974pt too wide) in paragraph at lines 388--399
-[]/cmr12/Zelig sim-u-lates pa-ram-e-ters from clas-si-cal /cmti12/max-i-mum lik
-e-li-hood /cmr12/mod-els us-ing asymp-
- []
-
-[36] [37]
-Overfull \hbox (10.42874pt too wide) in paragraph at lines 478--484
-[]/cmtt12/"normal"/cmr12/: The /cmti12/Nor-mal /cmr12/(see Sec-tion []12.23[][]
-) model com-putes the maximum-likelihood
- []
-
-
-LaTeX Warning: Reference `arima' on page 38 undefined on input line 503.
-
-[38]
-Overfull \hbox (2.60545pt too wide) in paragraph at lines 540--544
-[]/cmtt12/"blogit"/cmr12/: The /cmti12/bi-vari-ate lo-gis-tic /cmr12/model (see
- Sec-tion []12.2[][]) mod-els $[](/cmmi12/Y[] /cmr12/= /cmmi12/y[]; Y[] /cmr12/
-=
- []
-
-
-Overfull \hbox (2.93037pt too wide) in paragraph at lines 544--547
-[]/cmtt12/"bprobit"/cmr12/: The /cmti12/bi-vari-ate pro-bit /cmr12/model (see S
-ec-tion []12.3[][]) mod-els $[](/cmmi12/Y[] /cmr12/= /cmmi12/y[]; Y[] /cmr12/=
- []
-
-[39]
-Overfull \hbox (5.26831pt too wide) in paragraph at lines 565--568
-[]/cmtt12/"oprobit"/cmr12/: The /cmti12/or-di-nal pro-bit /cmr12/dis-tri-bu-tio
-n (see Sec-tion []12.26[][]) spec-i-fies the stochas-
- []
-
-[40]
-Overfull \hbox (5.66435pt too wide) in paragraph at lines 671--674
-[]/cmtt12/ei.RxC/cmr12/: The $/cmmi12/R /cmsy10 at 12.0pt/^^B /cmmi12/C$ /cmcsc10@
-12.0pt/ei /cmr12/model (see Sec-tion []12.6[][]) es-ti-mates a hi-er-ar-chi-cal
- Multinomial-
- []
-
-[41] [42]
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 779--779
-[]/cmtt12/# Check that the expected values are identical.  You may do this for 
-each qi.[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 781.
-
-) (./graphs.tex [43]
-Chapter 5.
-[44
-
-] [45]
-Overfull \hbox (6.32878pt too wide) in paragraph at lines 111--111
-[]/cmbx12 at 17.28pt/Adding Points, Lines, and Leg-ends to Ex-ist-ing Plots 
- []
-
-[46] [47] <figs/sample1.pdf, id=1263, 451.6875pt x 289.08pt>
-File: figs/sample1.pdf Graphic file (type pdf)
-
-<use figs/sample1.pdf> [48 <./figs/sample1.pdf>]
-<figs/sample2.pdf, id=1278, 325.215pt x 252.945pt>
-File: figs/sample2.pdf Graphic file (type pdf)
- <use figs/sample2.pdf>
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 234--234
-[]/cmtt12/> lines(density(turnout$income))              # Adds the kernel densi
-ty line.[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 235.
-
-[49 <./figs/sample2.pdf>] <figs/ternary.pdf, id=1292, 289.08pt x 289.08pt>
-File: figs/ternary.pdf Graphic file (type pdf)
-
-<use figs/ternary.pdf> [50 <./figs/ternary.pdf>]
-<figs/roc.pdf, id=1310, 289.08pt x 289.08pt>
-File: figs/roc.pdf Graphic file (type pdf)
- <use figs/roc.pdf> [51 <./figs/roc.pdf>] <figs/vertci.pdf, id=1327, 433.62pt x
- 289.08pt>
-File: figs/vertci.pdf Graphic file (type pdf)
- <use figs/vertci.pdf>)
-[52 <./figs/vertci.pdf>] [53
-
-] (./advancedR.tex
-Chapter 6.
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 27--27
- []/cmtt12/> 2 > 3                         # Basic logical operations, includin
-g >,[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 29--29
- []                                /cmtt12/#   <= (less than or equals), == (ex
-actly[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 31--31
- []/cmtt12/> 3 >= 2 && 100 == 1000/10      # Advanced logical operations, inclu
-ding[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 32--32
- []   /cmtt12/[1] TRUE                     #   & (and), && (if and only if), | 
-(or),[] 
- []
-
-[54
-
-]
-Overfull \hbox (35.09491pt too wide) in paragraph at lines 78--78
- []/cmtt12/> a <- 1:5               # Creates a vector of integers from 1 to 5 
-inclusive[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 84--84
- []/cmtt12/> a[5] <- 3.14         # Inserts 3.14 as the 5th value in the vector
- `a'[] 
- []
-
-
-Overfull \hbox (35.09491pt too wide) in paragraph at lines 85--85
- []/cmtt12/> a[5:7] <- c(2, 4, 7) # Replaces the 5th through 7th values with 2,
- 4, and 7[] 
- []
-
-[55]
-Overfull \hbox (28.9199pt too wide) in paragraph at lines 112--112
- []/cmtt12/> x <- c("like", "dislike", "hate", "like", "don't know", "like", "d
-islike")[] 
- []
-
-
-Overfull \hbox (11.54457pt too wide) in paragraph at lines 144--144
- []        /cmtt12/[,1] [,2] [,3]       # Note that when assigning a vector to 
-a[] 
- []
-
-[56]
-Overfull \hbox (17.71957pt too wide) in paragraph at lines 154--154
- []/cmtt12/> y <- c(55, 33, 12)         # Creates another vector `y' of 3 value
-s.[] 
- []
-
-
-Overfull \hbox (11.54457pt too wide) in paragraph at lines 155--155
- []/cmtt12/> rbind(x, y)                # Creates a 2 x 3 matrix.  Note that ro
-w[] 
- []
-
-
-Overfull \hbox (11.54457pt too wide) in paragraph at lines 159--159
- []/cmtt12/> cbind(x, y)                # Creates a 3 x 2 matrix.  Note that th
-e[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 176--176
- []/cmtt12/> loo[1,3] <- 13          # Inserts 13 as the value for row 1, colum
-n 3.[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 188--188
- []/cmtt12/> a <- matrix(8, 2, 3)       # Creates a 2 x 3 matrix populated with
- 8's.[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 189--189
- []/cmtt12/> b <- matrix(9, 2, 3)       # Creates a 2 x 3 matrix populated with
- 9's.[] 
- []
-
-
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 191--191
- []   /cmtt12/, , 1                     #  level [,,1] populated with matrix a 
-(8's),[] 
- []
-
-
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 195--195
- []   /cmtt12/[2,]    8    8    8       # Use square brackets to extract values
-.  For[] 
- []
-
-[57]
-Overfull \hbox (22.7449pt too wide) in paragraph at lines 197--197
- []   /cmtt12/, , 2                     #  value in the first row of the second
- level.[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 230--230
- []/cmtt12/> c[1, 2]     # Pull out the value in the first row, second column o
-f `c'[] 
- []
-
-[58]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 252.
-
-
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 268--268
-[]/cmtt12/> L[[4]] <- c(1, 4, 6, 8)          # Inserts the vector into the 4th 
-position[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 272.
-
-
-Overfull \hbox (11.89522pt too wide) in paragraph at lines 291--291
-[]/cmtt12/> dat[1:10,]         # Extracts observations 1-10 and all associated 
-variables 
- []
-
-[59] [60]
-Chapter 7.
-[61
-
-]
-LaTeX Font Info:    Try loading font information for OMS+cmtt on input line 368
-.
-LaTeX Font Info:    No file OMScmtt.fd. on input line 368.
-
-
-LaTeX Font Warning: Font shape `OMS/cmtt/m/n' undefined
-(Font)              using `OMS/cmsy/m/n' instead
-(Font)              for symbol `textbraceleft' on input line 368.
-
-
-Overfull \hbox (5.72021pt too wide) in paragraph at lines 402--402
-[]/cmtt12/> x <- array(dim = c(5,2,3))       # A 3D array of 3 stacked 5 by 2 m
-atrices.[] 
- []
-
-[62]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 446.
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 465.
-
-[63]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 478.
-
-
-Overfull \hbox (36.98639pt too wide) in paragraph at lines 479--484
-/cmr12/The sin-gle loop pro-ce-dure eval-u-ates each el-e-ment in /cmtt12/idx /
-cmr12/against the vec-tor /cmtt12/mydata/tctt1200/$/cmtt12/state/cmr12/.
- []
-
-
-Overfull \hbox (22.7449pt too wide) in paragraph at lines 504--504
- []/cmtt12/z.out <- zelig(y ~ x1 + x2 + x3, by = "state", data = mydata, model 
-= "ls")[] 
- []
-
-
-Overfull \hbox (28.9199pt too wide) in paragraph at lines 510--510
- []/cmtt12/se <- array()                          # Initalize the empty data st
-ructure.[] 
- []
-
-
-Overfull \hbox (22.7449pt too wide) in paragraph at lines 511--511
- []/cmtt12/for (i in 1:50) {                      # vcov() creates the variance
- matrix[] 
- []
-
-
-Overfull \hbox (28.9199pt too wide) in paragraph at lines 512--512
- []  /cmtt12/se[i] <- sqrt(vcov(z.out[[i]])[2,2]) # Since we have an intercept,
- the 2nd[] 
- []
-
-
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 513--513
- []/cmtt12/}                                      # diagonal value corresponds 
-to x1.[] 
- []
-
-[64]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 529.
-
-) (./newModels.tex [65]
-Chapter 8.
-[66
-
-]
-Overfull \hbox (11.89522pt too wide) in paragraph at lines 48--48
-[]/cmtt12/# Given the formula above, programmers can use the following standard
- commands[] 
- []
-
-[67]
-Overfull \hbox (1.10294pt too wide) in paragraph at lines 115--115
-[]/cmbx12 at 14.4pt/Single Re-sponse Vari-able Mod-els: Nor-mal Re-gres-sion Model
- 
- []
-
-
-Overfull \hbox (19.60844pt too wide) in paragraph at lines 123--127
-/cmr12/im-plies two sets of pa-ram-e-ters in your model, and the fol-low-ing /c
-mtt12/describe.normal.regression()
- []
-
-[68] [69]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 228.
-
-[70] [71] [72] [73] [74] [75] [76]
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 588--588
- []/cmtt12/X <- model.matrix(fml, data = D, shape = "stacked", eqn = c("mu1", "
-mu2"))[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 598--598
- []/cmtt12/X <- model.matrix(fml, data = D, shape = "array", eqn = c("mu1", "mu
-2"))[] 
- []
-
-) (./addingModels.tex [77]
-Chapter 9.
-
-LaTeX Warning: `!h' float specifier changed to `!ht'.
-
-[78
-
-] [79]
-Overfull \hbox (39.88014pt too wide) in paragraph at lines 145--154
-/cmtt12/zelig2normal.regression()/cmr12/, in-clud-ing the ex-tra ar-gu-ments ta
-ken by /cmtt12/normal.regression()/cmr12/,
- []
-
-
-Overfull \hbox (6.93912pt too wide) in paragraph at lines 145--154
-/cmr12/but not by /cmtt12/zelig()/cmr12/. All wrap-pers must take the same stan
--dard-ized ar-gu-ments (/cmtt12/formula/cmr12/,
- []
-
-
-Overfull \hbox (59.38927pt too wide) in paragraph at lines 145--154
-/cmtt12/zelig() /cmr12/call into the /cmtt12/normal.regression() /cmr12/call. A
-d-di-tional ar-gu-ments to /cmtt12/normal.regression()/cmr12/,
- []
-
-[80] [81]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 248.
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 254.
-
-[82] [83] [84] [85] [86]
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 475--475
- []/cmtt12/\item The first difference in expected values, given when x1 is spec
-ified.[] 
- []
-
-) [87] [88
-
-] (./refman.tex
-Chapter 10.
-(./commands/zelig.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-
-LaTeX Warning: Reference `arima' on page 89 undefined on input line 31.
-
-[89
-
-]
-Overfull \hbox (3.21973pt too wide) in paragraph at lines 49--52
-[]/cmtt12/"ei.RxC"/cmr12/: Non-linear least squares ap-prox-i-ma-tion to the hi
--er-ar-chi-cal Multinomial-
- []
-
-
-Overfull \hbox (3.76364pt too wide) in paragraph at lines 54--56
-[]/cmtt12/"irt1d"/cmr12/: Bayesian uni-di-men-sional item re-sponse the-ory mod
-el. (see Sec-tion []12.12[][]) 
- []
-
-[90]
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 116--116
- []/cmtt12/> z.out <- zelig(y ~ x1 + x2, data = mydata, model = "ls", by = "sta
-te")[] 
- []
-
-
-Overfull \hbox (9.25255pt too wide) in paragraph at lines 131--137
-/cmr12/ing /cmtt12/coefficients/cmr12/, /cmtt12/residuals/cmr12/, and /cmtt12/f
-ormula /cmr12/which may be sum-ma-rized us-ing /cmtt12/summary(z.out)
- []
-
-[91]) [92]
-\openout2 = `commands/setx.aux'.
-
- (./commands/setx.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[93
-
-] [94]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 123.
-
-) [95]
-\openout2 = `commands/sim.aux'.
-
- (./commands/sim.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[96
-
-
-] [97]) [98]
-\openout2 = `commands/summary.aux'.
-
- (./commands/summary.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[99
-
-
-]
-Overfull \hbox (23.3659pt too wide) in paragraph at lines 100--107
-/cmr12/statis-tics for each of the quan-ti-ties of in-ter-est. For ex-am-ple, /
-cmtt12/summary(s.out)/tctt1200/$/cmtt12/qi.stats/tctt1200/$/cmtt12/ev/cmr12/,
- []
-
-) [100] [101]
-\openout2 = `commands/plot.zelig.aux'.
-
- (./commands/plot.zelig.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[102
-
-
-]) [103]
-\openout2 = `commands/print.aux'.
-
- (./commands/print.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-) [104
-
-
-]
-\openout2 = `commands/replicate.aux'.
-
- (./commands/replicate.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[105
-
-
-]
-Overfull \hbox (30.42023pt too wide) in paragraph at lines 60--60
-[]/cmtt12/> z.out <- zelig(vote ~ race + educate, model = "logit", data = turno
-ut[1:1000,])[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 68.
-
-) [106]
-Chapter 11.
-(./commands/matchit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-(./commands/matchitref.tex [107
-
-
-] [108] [109] [110]
-Overfull \hbox (6.39474pt too wide) in paragraph at lines 236--241
-/cmr12/pack-age. See /cmtt12/help(fullmatch) /cmr12/or []http://www.stat.lsa.um
-ich.edu/~bbh/optmatch.html[]
- []
-
-
-Overfull \hbox (6.39474pt too wide) in paragraph at lines 247--251
-/cmr12/pack-age. See /cmtt12/help(fullmatch) /cmr12/or []http://www.stat.lsa.um
-ich.edu/~bbh/optmatch.html[]
- []
-
-
-Overfull \hbox (165.55885pt too wide) in paragraph at lines 260--265
-/cmtt12/Matching /cmr12/pack-age. See /cmtt12/help(GenMatch) /cmr12/or []http:/
-/sekhon.polisci.berkeley.edu/library/Matching/html/GenMatch.html[]
- []
-
-[111]
-Overfull \hbox (40.20467pt too wide) in paragraph at lines 281--285
-[]/cmtt12/model/cmr12/: the out-put of the model used to es-ti-mate the dis-tan
-ce mea-sure. /cmtt12/summary(m.out/tctt1200/$/cmtt12/model)
- []
-
-[112]
-Overfull \hbox (142.5597pt too wide) in paragraph at lines 336--339
-/cmr12/pen-dence in Para-met-ric Causal In-fer-ence,'' /cmti12/Po-lit-i-cal Ana
-l-y-sis/cmr12/, http://gking.harvard.edu/files/abs/matchp-
- []
-
-
-Overfull \hbox (20.13847pt too wide) in paragraph at lines 344--349
-/cmr12/ter-fac-tu-als,'' /cmti12/Jour-nal of Sta-tis-ti-cal Soft-ware/cmr12/, 1
-5, http://gking.harvard.edu/whatif/
- []
-
-
-Overfull \hbox (2.30324pt too wide) in paragraph at lines 344--349
-/cmti12/Anal-y-sis/cmr12/, 14, 131--159, http://gking.harvard.edu/files/abs/cou
-nterft-abs.shtml
- []
-
-
-Overfull \hbox (121.02354pt too wide) in paragraph at lines 344--349
-/cmr12/The Pit-falls of Coun-ter-fac-tual In-fer-ence','' Http://id.thedata.org
-/hdl%3A1902.1%2FDXRXCFAWPK
- []
-
-
-Overfull \hbox (1.9694pt too wide) in paragraph at lines 344--349
-/cmr12/hdl:1902.1/DXRXCFAWPK UNF:3:DaYlT6QSX9r0D50ye+tXpA== Mur-ray
- []
-
-[113])) [114]
-\openout2 = `commands/mi.aux'.
-
- (./commands/mi.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-) [115
-
-]
-\openout2 = `commands/network.aux'.
-
- (./commands/network.tex
-LaTeX Font Info:    Font shape `OT1/cmtt/bx/n' in size <14.4> not available
-(Font)              Font shape `OT1/cmtt/m/n' tried instead on input line 1.
-
-Underfull \hbox (badness 10000) in paragraph at lines 4--8
-
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 29.
-
-) [116
-
-
-]
-\openout2 = `commands/plot.ci.aux'.
-
- (./commands/plot.ci.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[117
-
-
-]) [118]
-\openout2 = `commands/rocplot.aux'.
-
- (./commands/rocplot.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-
-Overfull \hbox (11.89522pt too wide) in paragraph at lines 11--11
-[]        /cmtt12/lty1 = "solid", lty2 = "dashed", lwd1 = par("lwd"), lwd2 = pa
-r("lwd"),[] 
- []
-
-[119
-
-
-]) [120]
-\openout2 = `commands/ternaryplot.aux'.
-
- (./commands/ternaryplot.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-
-Overfull \hbox (11.98015pt too wide) in paragraph at lines 33--35
-[]/cmtt12/coordinates/cmr12/: if /cmtt12/TRUE/cmr12/, the co-or-di-nates of the
- points are plot-ted be-low them. /cmtt12/coordinates
- []
-
-[121
-
-
-]) [122]
-\openout2 = `commands/ternarypoints.aux'.
-
- (./commands/ternarypoints.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-
-Overfull \hbox (2.30585pt too wide) in paragraph at lines 5--9
-/cmr12/Use /cmtt12/ternarypoints() /cmr12/to add points to a ternary di-a-gram 
-gen-er-ated us-ing the /cmtt12/ternaryplot()
- []
-
-) [123
-
-
-]
-Chapter 12.
-[124
-
-
-] [125]
-\openout2 = `models/arima.aux'.
-
- (./models/arima.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[126
-
-]
-Underfull \hbox (badness 10000) in paragraph at lines 85--86
-
- []
-
-
-Underfull \hbox (badness 10000) in paragraph at lines 108--109
-
- []
-
-[127]
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 113--113
- []/cmtt12/> z.out2 <- zelig(Diff(approve, 1) ~ iraq.war + sept.oct.2001 + avg.
-price[] 
- []
-
-
-Overfull \hbox (22.7449pt too wide) in paragraph at lines 114--114
- []                  /cmtt12/+ lag.y(2)+ lag.eps(1), data = approval, model = "
-arima")[] 
- []
-
-
-Underfull \hbox (badness 10000) in paragraph at lines 133--134
-
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 140--140
- []/cmtt12/> x1.out3 <- setx(z.out2, sept.oct.2001 = list(time = 45:50, value =
- 1))[] 
- []
-
-[128] [129] [130]) [131]
-\openout2 = `models/blogit.aux'.
-
- (./models/blogit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[132
-
-
-]
-Underfull \hbox (badness 10000) in paragraph at lines 63--71
-
- []
-
-[133]
-Underfull \hbox (badness 10000) in paragraph at lines 126--131
-
- []
-
-[134] [135]
-Overfull \hbox (37.64868pt too wide) in paragraph at lines 241--249
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and ob-tain 
-a de-fault sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[136]) [137]
-\openout2 = `models/bprobit.aux'.
-
- (./models/bprobit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[138
-
-
-]
-Underfull \hbox (badness 10000) in paragraph at lines 69--77
-
- []
-
-[139]
-Underfull \hbox (badness 10000) in paragraph at lines 133--138
-
- []
-
-[140] [141]
-Overfull \hbox (37.64868pt too wide) in paragraph at lines 275--283
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and ob-tain 
-a de-fault sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[142] [143]) [144]
-\openout2 = `models/ei.dynamic.aux'.
-
- (./models/ei.dynamic.tex
-LaTeX Font Info:    Font shape `OT1/cmtt/bx/n' in size <17.28> not available
-(Font)              Font shape `OT1/cmtt/m/n' tried instead on input line 2.
- [145
-
-
-] (./models/coda_diag.tex)
-[146]
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 104--104
- []                 /cmtt12/data = eidat,  mcmc = 40000, thin = 10, burnin = 10
-000,[] 
- []
-
-[147]
-Underfull \hbox (badness 10000) in paragraph at lines 151--158
-
- []
-
-[148
-
-]
-Underfull \hbox (badness 10000) in paragraph at lines 202--206
-
- []
-
-
-Overfull \hbox (14.68062pt too wide) in paragraph at lines 222--228
-/cmr12/draws from the pos-te-rior dis-tri-bu-tion of the quan-ti-ties of in-ter
--est by us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/,
- []
-
-[149] (./models/contributors.tex)) [150]
-\openout2 = `models/ei.hier.aux'.
-
- (./models/ei.hier.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `math shift' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\times' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `math shift' on input line 2.
-
-[151
-
-
-] (./models/coda_diag.tex) [152] [153] [154
-
-]
-Overfull \hbox (14.68062pt too wide) in paragraph at lines 230--236
-/cmr12/draws from the pos-te-rior dis-tri-bu-tion of the quan-ti-ties of in-ter
--est by us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/,
- []
-
-[155] (./models/contributors.tex)) [156]
-\openout2 = `models/eiRxC.aux'.
-
- (./models/eiRxC.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `math shift' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\times' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `math shift' on input line 2.
-
-[157
-
-
-] [158] [159
-
-]) [160]
-\openout2 = `models/exp.aux'.
-
- (./models/exp.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[161
-
-
-] [162] [163]
-Overfull \hbox (8.84404pt too wide) in paragraph at lines 185--193
-/cmr12/may ex-am-ine the avail-able in-for-ma-tion in /cmtt12/z.out /cmr12/by u
-s-ing /cmtt12/names(z.out)/cmr12/, see the /cmtt12/coefficients
- []
-
-
-Overfull \hbox (17.41278pt too wide) in paragraph at lines 185--193
-/cmr12/by us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-
-fault sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-
-Overfull \hbox (34.08284pt too wide) in paragraph at lines 215--218
-[]/cmr12/Most of this may be con-ve-niently sum-ma-rized us-ing /cmtt12/summary
-(z.out)/cmr12/. From /cmtt12/summary(z.out)/cmr12/,
- []
-
-[164]) [165]
-\openout2 = `models/factor.bayes.aux'.
-
- (./models/factor.bayes.tex
-Overfull \hbox (7.78902pt too wide) in paragraph at lines 41--43
-[]/cmtt12/varname = list(d, c)/cmr12/: con-strains the $/cmmi12/d$/cmr12/th loa
-d-ing for the vari-able named /cmtt12/varname
- []
-
-[166
-
-
-] (./models/coda_diag.tex [167])
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 153.
-
-[168]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 173.
-
-[169] (./models/contributors.tex)) [170]
-\openout2 = `models/factor.mix.aux'.
-
- (./models/factor.mix.tex
-Overfull \hbox (7.78902pt too wide) in paragraph at lines 43--45
-[]/cmtt12/varname = list(d, c)/cmr12/: con-strains the $/cmmi12/d$/cmr12/th loa
-d-ing for the vari-able named /cmtt12/varname
- []
-
-[171
-
-
-] [172] (./models/coda_diag.tex) [173] [174] (./models/contributors.tex
-[175])) [176]
-\openout2 = `models/factor.ord.aux'.
-
- (./models/factor.ord.tex
-Overfull \hbox (7.78902pt too wide) in paragraph at lines 38--40
-[]/cmtt12/varname = list(d, c)/cmr12/: con-strains the $/cmmi12/d$/cmr12/th loa
-d-ing for the vari-able named /cmtt12/varname
- []
-
-[177
-
-
-] (./models/coda_diag.tex [178])
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 138.
-
-[179] [180] (./models/contributors.tex)) [181]
-\openout2 = `models/gamma.aux'.
-
- (./models/gamma.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-
-Overfull \hbox (11.89522pt too wide) in paragraph at lines 59--59
-[]/cmtt12/> z.out <- zelig(duration ~ fract + numst2, model = "gamma", data = c
-oalition)[] 
- []
-
-[182
-
-
-]
-Underfull \hbox (badness 10000) in paragraph at lines 88--90
-
- []
-
-[183] [184] [185]) [186]
-\openout2 = `models/irt1d.aux'.
-
- (./models/irt1d.tex [187
-
-
-] (./models/coda_diag.tex
-[188])
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 143--143
- []               /cmtt12/B0.alpha = 0.2, B0.beta = 0.2, burnin = 500, mcmc = 1
-0000,[] 
- []
-
-[189] [190] (./models/contributors.tex)) [191]
-\openout2 = `models/irtkd.aux'.
-
- (./models/irtkd.tex
-Overfull \hbox (23.31868pt too wide) in paragraph at lines 1--1
-[]/cmtt12 at 17.28pt/irtkd/cmbx12 at 17.28pt/: $/cmmi12 at 17.28pt/k$/cmbx12 at 17.28pt/-Di
-mensional Item Re-sponse The-ory Model 
- []
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `math shift' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `math shift' on input line 1.
-
-[192
-
-
-] (./models/coda_diag.tex [193])
-Overfull \hbox (28.9199pt too wide) in paragraph at lines 139--139
- []/cmtt12/> z.out <- zelig(cbind(Rehnquist, Stevens, OConnor, Scalia, Kennedy,
- Souter,[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 140--140
- []                       /cmtt12/Thomas, Ginsburg, Breyer) ~ NULL, dimensions 
-= 1,[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 152.
-
-[194] [195] (./models/contributors.tex)) [196]
-\openout2 = `models/logit.aux'.
-
- (./models/logit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 60--60
- []/cmtt12/> z.out1 <- zelig(vote ~ race + educate,  model = "logit", data = tu
-rnout)[] 
- []
-
-[197
-
-
-]
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 80--80
- []/cmtt12/> x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0
-.75))[] 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 81--81
- []/cmtt12/> x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.
-25))[] 
- []
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 98--98
- []/cmtt12/> z.out2 <- zelig(vote ~ race + educate, model = "logit", data = tur
-nout)[] 
- []
-
-[198] [199] [200]) [201]
-\openout2 = `models/logit.bayes.aux'.
-
- (./models/logit.bayes.tex (./models/coda_diag.tex
-[202
-
-
-])
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 88.
-
-[203]
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 105--105
- []/cmtt12/> x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0
-.75)) 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 106--106
- []/cmtt12/> x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.
-25))[] 
- []
-
-[204] [205] (./models/contributors2.tex)) [206]
-\openout2 = `models/lognormal.aux'.
-
- (./models/lognormal.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[207
-
-
-] [208] [209]
-Overfull \hbox (29.73271pt too wide) in paragraph at lines 183--191
-/cmr12/you may ex-am-ine the avail-able in-for-ma-tion in /cmtt12/z.out /cmr12/
-by us-ing /cmtt12/names(z.out)/cmr12/, see the /cmtt12/coefficients
- []
-
-
-Overfull \hbox (17.41278pt too wide) in paragraph at lines 183--191
-/cmr12/by us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-
-fault sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-
-Overfull \hbox (34.08284pt too wide) in paragraph at lines 209--212
-[]/cmr12/Most of this may be con-ve-niently sum-ma-rized us-ing /cmtt12/summary
-(z.out)/cmr12/. From /cmtt12/summary(z.out)/cmr12/,
- []
-
-[210]) [211]
-\openout2 = `models/ls.aux'.
-
- (./models/ls.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[212
-
-
-]
-Overfull \hbox (16.5699pt too wide) in paragraph at lines 61--61
- []/cmtt12/> z.out1 <- zelig(unem ~ gdp + capmob + trade, model = "ls", data = 
-macro)[] 
- []
-
-[213] [214] [215]) [216]
-\openout2 = `models/mlogit.aux'.
-
- (./models/mlogit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-
-Overfull \hbox (50.7404pt too wide) in paragraph at lines 19--23
-/cmr12/If the user wishes to use the same for-mula across all lev-els, then []/
-cmtt12/formula <- as.factor(Y) ~ X1 + X2
- []
-
-[217
-
-
-] [218] [219]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 170--178
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[220]) [221]
-\openout2 = `models/mlogit.bayes.aux'.
-
- (./models/mlogit.bayes.tex
-Overfull \hbox (1.43478pt too wide) in paragraph at lines 2--2
-[]/cmtt12 at 17.28pt/mlogit.bayes/cmbx12 at 17.28pt/: Bayesian Multi-no-mial Lo-gis-t
-ic Re-
- []
-
-[222
-
-
-] (./models/coda_diag.tex) [223]
-Overfull \hbox (35.09491pt too wide) in paragraph at lines 94--94
- []/cmtt12/> z.out <- zelig(vote88 ~ pristr + othcok + othsocok, model = "mlogi
-t.bayes",[] 
- []
-
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 102.
-
-[224] [225] [226] (./models/contributors2.tex)) [227]
-\openout2 = `models/negbin.aux'.
-
- (./models/negbin.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[228
-
-
-] [229]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 144--152
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[230] [231]) [232]
-\openout2 = `models/netls.aux'.
-
- (./models/netls.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-
-Overfull \hbox (22.7449pt too wide) in paragraph at lines 26--26
- []/cmtt12/> z.out <- zelig(Var1 ~ Var2 + Var3 + Var4, model = "netls", data = 
-sna.ex)[] 
- []
-
-[233
-
-
-] [234]) [235]
-\openout2 = `models/netlogit.aux'.
-
- (./models/netlogit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-
-Overfull \hbox (41.26991pt too wide) in paragraph at lines 48--48
- []/cmtt12/> x.high <- setx(z.out, perpower = quantile(friendship$perpower, pro
-b = 0.75))[] 
- []
-
-
-Overfull \hbox (35.09491pt too wide) in paragraph at lines 49--49
- []/cmtt12/> x.low  <- setx(z.out, educate = quantile(friendship$perpower, prob
- = 0.25))[] 
- []
-
-[236
-
-
-] [237]
-Overfull \hbox (2.79857pt too wide) in paragraph at lines 131--134
-[]/cmtt12/bic/cmr12/: the Bayesian In-for-ma-tion Cri-te-rion (mi-nus twice the
- max-i-mized log-likelihood
- []
-
-
-Underfull \hbox (badness 10000) in paragraph at lines 159--161
-
- []
-
-[238]) [239]
-\openout2 = `models/normal.aux'.
-
- (./models/normal.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[240
-
-
-] [241] [242]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 176--184
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[243]) [244]
-\openout2 = `models/normal.bayes.aux'.
-
- (./models/normal.bayes.tex [245
-
-
-] (./models/coda_diag.tex) [246]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 89.
-
-[247] [248] (./models/contributors2.tex)) [249]
-\openout2 = `models/ologit.aux'.
-
- (./models/ologit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[250
-
-
-] [251]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 162--170
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[252]) [253] [254]
-\openout2 = `models/oprobit.aux'.
-
- (./models/oprobit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 41--41
- []/cmtt12/> z.out <- zelig(ncost ~ mil + coop, model = "oprobit", data = sanct
-ion)[] 
- []
-
-[255
-
-
-] [256]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 163--171
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[257] [258]) [259]
-\openout2 = `models/oprobit.bayes.aux'.
-
- (./models/oprobit.bayes.tex (./models/coda_diag.tex [260
-
-
-])
-[261]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 94.
-
-[262] [263] [264] (./models/contributors2.tex)) [265]
-\openout2 = `models/poisson.aux'.
-
- (./models/poisson.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[266
-
-
-] [267]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 136--144
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[268]) [269]
-\openout2 = `models/poisson.bayes.aux'.
-
- (./models/poisson.bayes.tex (./models/coda_diag.tex [270
-
-
-])
-[271]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 90.
-
-[272] [273] (./models/contributors2.tex)) [274]
-\openout2 = `models/probit.aux'.
-
- (./models/probit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[275
-
-
-] [276]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 136--144
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[277] [278]) [279]
-\openout2 = `models/probit.bayes.aux'.
-
- (./models/probit.bayes.tex [280
-
-
-] (./models/coda_diag.tex)
-[281]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 93.
-
-
-Overfull \hbox (10.3949pt too wide) in paragraph at lines 110--110
- []/cmtt12/> x.high <- setx(z.out, educate = quantile(turnout$educate, prob = 0
-.75)) 
- []
-
-
-Overfull \hbox (4.2199pt too wide) in paragraph at lines 111--111
- []/cmtt12/> x.low <- setx(z.out, educate = quantile(turnout$educate, prob = 0.
-25))[] 
- []
-
-[282] [283] (./models/contributors2.tex)) [284]
-\openout2 = `models/relogit.aux'.
-
- (./models/relogit.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[285
-
-
-]
-Overfull \hbox (11.89522pt too wide) in paragraph at lines 85--85
-[]/cmtt12/> z.out1 <- zelig(conflict ~ major + contig + power + maxdem + mindem
- + years,[] 
- []
-
-
-Overfull \hbox (11.89522pt too wide) in paragraph at lines 111--111
-[]/cmtt12/> z.out2 <- zelig(conflict ~ major + contig + power + maxdem + mindem
- + years,[] 
- []
-
-[286] [287] [288] [289]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 295--303
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-[290] [291]
-Overfull \hbox (72.13203pt too wide) in paragraph at lines 379--380
-/cmr12/tions,'' /cmti12/In-ter-na-tional Or-ga-ni-za-tion/cmr12/, 55, 693--715,
- http://gking.harvard.edu/files/abs/baby0s-
- []
-
-
-Overfull \hbox (85.63pt too wide) in paragraph at lines 385--386
-/cmr12/Control Stud-ies,'' /cmti12/Statis-tics in Medicine/cmr12/, 21, 1409--14
-27, http://gking.harvard.edu/files/abs/1s-
- []
-
-
-Overfull \hbox (72.13203pt too wide) in paragraph at lines 390--391
-/cmr12/tions,'' /cmti12/In-ter-na-tional Or-ga-ni-za-tion/cmr12/, 55, 693--715,
- http://gking.harvard.edu/files/abs/baby0s-
- []
-
-) [292]
-\openout2 = `models/tobit.aux'.
-
- (./models/tobit.tex [293
-
-
-] [294] [295]) [296]
-\openout2 = `models/tobit.bayes.aux'.
-
- (./models/tobit.bayes.tex
-[297
-
-
-] (./models/coda_diag.tex) [298]
-
-LaTeX Warning: Characters dropped after `\end{verbatim}' on input line 103.
-
-[299]
-Overfull \hbox (15.78479pt too wide) in alignment at lines 186--189
- [][][] []
- []
-
-[300] (./models/contributors.tex [301])) [302]
-\openout2 = `models/weibull.aux'.
-
- (./models/weibull.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[303
-
-
-] [304] [305]
-Overfull \hbox (2.39905pt too wide) in paragraph at lines 184--192
-/cmr12/us-ing /cmtt12/z.out/tctt1200/$/cmtt12/coefficients/cmr12/, and a de-fau
-lt sum-mary of in-for-ma-tion through /cmtt12/summary(z.out)/cmr12/.
- []
-
-
-Overfull \hbox (34.08284pt too wide) in paragraph at lines 210--213
-[]/cmr12/Most of this may be con-ve-niently sum-ma-rized us-ing /cmtt12/summary
-(z.out)/cmr12/. From /cmtt12/summary(z.out)/cmr12/,
- []
-
-[306]) [307]
-Chapter 13.
-(./commands/describe.mymodel.tex
-Overfull \hbox (25.92883pt too wide) in paragraph at lines 2--2
-[]/cmtt12 at 17.28pt/describe/cmbx12 at 17.28pt/: De-scribe a model's sys-tem-atic an
-d stochas-
- []
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[308
-
-
-] [309] [310]
-Overfull \hbox (15.58759pt too wide) in paragraph at lines 194--196
-[]/cmr12/Section []8[][] for an overview of how the /cmtt12/describe.*() /cmr12
-/func-tion works with /cmtt12/parse.formula()/cmr12/. 
- []
-
-[311]) [312]
-\openout2 = `commands/model.end.aux'.
-
- (./commands/model.end.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-) [313
-
-]
-\openout2 = `commands/model.frame.multiple.aux'.
-
- (./commands/model.frame.multiple.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 2.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 2.
-
-[314
-
-
-]) [315]
-\openout2 = `commands/model.matrix.multiple.aux'.
-
- (./commands/model.matrix.multiple.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-
-Overfull \hbox (6.87314pt too wide) in paragraph at lines 5--7
-/cmr12/Use /cmtt12/model.matrix.multiple() /cmr12/af-ter /cmtt12/parse.formula(
-) /cmr12/to cre-ate a de-sign ma-trix for multiple-
- []
-
-[316
-
-
-]) [317]
-\openout2 = `commands/parse.formula.aux'.
-
- (./commands/parse.formula.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[318
-
-
-] [319] [320
-
-
-])
-\openout2 = `commands/parse.par.aux'.
-
- (./commands/parse.par.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-[321
-
-
-
-]
-Overfull \hbox (14.36311pt too wide) in paragraph at lines 81--83
-[]/cmr12/Section []13.4[][] for a de-scrip-tion of how mul-ti-ple equa-tion mod
--els work with /cmtt12/model.matrix()/cmr12/. 
- []
-
-) [322]
-\openout2 = `commands/put.start.aux'.
-
- (./commands/put.start.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-) [323
-
-
-]
-\openout2 = `commands/set.start.aux'.
-
- (./commands/set.start.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-) [324
-
-
-]
-\openout2 = `commands/tag.aux'.
-
- (./commands/tag.tex
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at encoding' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<let>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at family' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at series' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\f at shape' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\<def>-command' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\font at name' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\OT1/cmtt/m/n/17.28' on input line 1.
-
-
-Package hyperref Warning: Token not allowed in a PDFDocEncoded string,
-(hyperref)                removing `\ignorespaces' on input line 1.
-
-) [325
-
-
-]) [326
-
-
-] (./faq.tex
-Appendix A.
-
-Overfull \hbox (35.75883pt too wide) in paragraph at lines 34--41
-/cmr12/the g77 For-tran com-piler. For Pow-erPC Macs, down-load g77 from []http
-://hpc.sourceforge.net[]).
- []
-
-[327
-
-] [328] <figs/increase.pdf, id=3376, 351.3125pt x 393.47pt>
-File: figs/increase.pdf Graphic file (type pdf)
-
-<use figs/increase.pdf>
-
-LaTeX Warning: `!h' float specifier changed to `!ht'.
-
-[329] [330 <./figs/increase.pdf>]
-Overfull \hbox (88.30571pt too wide) in paragraph at lines 216--221
-/cmr12/R is a col-lec-tive project with con-trib-u-tors from all over the world
-. Their web-site ([]/cmtt12/http://www.r-project.org[]/cmr12/)
- []
-
-[331]) [332]
-Appendix B.
-[333
-
-] [334] [335] [336] [337] [338] (./zelig.bbl [339]
-Underfull \hbox (badness 3029) in paragraph at lines 32--35
-[]/cmr12/Diamond, A. and Sekhon, J. (2005), ``Ge-netic Match-ing for Es-ti-mat-
-ing Causal
- []
-
-
-Underfull \hbox (badness 8189) in paragraph at lines 32--35
-/cmr12/Ef-fects: A New Method of Achiev-ing Bal-ance in Ob-ser-va-tional Stud-i
-es,''
- []
-
-
-Underfull \hbox (badness 10000) in paragraph at lines 63--66
-[]/cmr12/--- (2007), ``Match-ing as Non-para-met-ric Pre-pro-cess-ing for Re-du
-c-ing
- []
-
-
-Underfull \hbox (badness 10000) in paragraph at lines 63--66
-/cmr12/Model De-pen-dence in Para-met-ric Causal In-fer-ence,'' /cmti12/Po-lit-
-i-cal Anal-y-sis/cmr12/,
- []
-
-[340
-
-]
-Underfull \hbox (badness 4132) in paragraph at lines 90--93
-[]/cmr12/--- (1997), /cmti12/A So-lu-tion to the Eco-log-i-cal In-fer-ence Prob
--lem: Re-con-struct-ing In-
- []
-
-
-Underfull \hbox (badness 2726) in paragraph at lines 90--93
-/cmti12/di-vid-ual Be-hav-ior from Ag-gre-gate Data/cmr12/, Prince-ton: Prince-
-ton Uni-ver-sity Press,
- []
-
-
-Underfull \hbox (badness 1895) in paragraph at lines 134--137
-[]/cmr12/--- (2002b), ``Im-prov-ing Fore-casts of State Fail-ure,'' /cmti12/Wor
-ld Pol-i-tics/cmr12/, 53, 623--658,
- []
-
-[341] [342]) [343] (./zelig.aux (./acknowledgments.aux) (./commands/setx.aux)
-(./commands/sim.aux) (./commands/summary.aux) (./commands/plot.zelig.aux)
-(./commands/print.aux) (./commands/replicate.aux) (./commands/mi.aux)
-(./commands/network.aux) (./commands/plot.ci.aux) (./commands/rocplot.aux)
-(./commands/ternaryplot.aux) (./commands/ternarypoints.aux) (./models/arima.aux
-) (./models/blogit.aux) (./models/bprobit.aux) (./models/ei.dynamic.aux)
-(./models/ei.hier.aux) (./models/eiRxC.aux) (./models/exp.aux)
-(./models/factor.bayes.aux) (./models/factor.mix.aux) (./models/factor.ord.aux)
-(./models/gamma.aux) (./models/irt1d.aux) (./models/irtkd.aux)
-(./models/logit.aux) (./models/logit.bayes.aux) (./models/lognormal.aux)
-(./models/ls.aux) (./models/mlogit.aux) (./models/mlogit.bayes.aux)
-(./models/negbin.aux) (./models/netls.aux) (./models/netlogit.aux)
-(./models/normal.aux) (./models/normal.bayes.aux) (./models/ologit.aux)
-(./models/oprobit.aux) (./models/oprobit.bayes.aux) (./models/poisson.aux)
-(./models/poisson.bayes.aux) (./models/probit.aux) (./models/probit.bayes.aux)
-(./models/relogit.aux) (./models/tobit.aux) (./models/tobit.bayes.aux)
-(./models/weibull.aux) (./commands/model.end.aux)
-(./commands/model.frame.multiple.aux) (./commands/model.matrix.multiple.aux)
-(./commands/parse.formula.aux) (./commands/parse.par.aux)
-(./commands/put.start.aux) (./commands/set.start.aux) (./commands/tag.aux))
-
-LaTeX Font Warning: Some font shapes were not available, defaults substituted.
-
-
-LaTeX Warning: There were undefined references.
-
- ) 
-Here is how much of TeX's memory you used:
- 8951 strings out of 95437
- 113379 string characters out of 1190233
- 217465 words of memory out of 1000001
- 10025 multiletter control sequences out of 10000+50000
- 24511 words of font info for 99 fonts, out of 500000 for 1000
- 14 hyphenation exceptions out of 1000
- 34i,15n,43p,258b,696s stack positions out of 1500i,500n,5000p,200000b,5000s
- 3483 PDF objects out of 300000
- 1271 named destinations out of 131072
- 977 words of extra memory for PDF output out of 65536
-{/usr/share/texmf/dvips/tetex/bbad153f.enc}</usr/share/texmf/fonts/type1/blue
-sky/cm/cmsy6.pfb></usr/share/texmf/fonts/type1/bluesky/symbols/msbm10.pfb>{/usr
-/share/texmf/dvips/tetex/aae443f0.enc}</usr/share/texmf/fonts/type1/bluesky/cm/
-cmmi10.pfb>{/usr/share/texmf/dvips/tetex/74afc74c.enc}</usr/share/texmf/fonts/t
-ype1/bluesky/cm/cmti10.pfb>{/usr/share/texmf/dvips/tetex/f7b6d320.enc}</usr/sha
-re/texmf/fonts/type1/bluesky/cm/cmr6.pfb></usr/share/texmf/fonts/type1/bluesky/
-cm/cmmi6.pfb></usr/share/texmf/fonts/type1/bluesky/cm/cmsy8.pfb></usr/share/tex
-mf/fonts/type1/bluesky/cm/cmex10.pfb>{/usr/share/texmf/dvips/tetex/0ef0afca.enc
-}</usr/share/texmf/fonts/type1/bluesky/cm/cmcsc10.pfb></usr/share/texmf/fonts/t
-ype1/bluesky/cm/cmmi8.pfb></usr/share/texmf/fonts/type1/public/xypic/xycirc10.p
-fb></usr/share/texmf/fonts/type1/public/xypic/xydash10.pfb></usr/share/texmf/fo
-nts/type1/public/xypic/xyeubt10.pfb></usr/share/texmf/fonts/type1/public/xypic/
-xyeuat10.pfb> </var/lib/texmf/pk/ljfour/jknappen/tc/tctt1200.600pk> </var/lib/t
-exmf/pk/ljfour/jknappen/tc/tcrm1200.600pk></usr/share/texmf/fonts/type1/bluesky
-/cm/cmr7.pfb></usr/share/texmf/fonts/type1/bluesky/cm/cmti12.pfb></usr/share/te
-xmf/fonts/type1/bluesky/cm/cmmi12.pfb></usr/share/texmf/fonts/type1/bluesky/cm/
-cmsy10.pfb>{/usr/share/texmf/dvips/tetex/09fbbfac.enc}</usr/share/texmf/fonts/t
-ype1/bluesky/cm/cmtt12.pfb></usr/share/texmf/fonts/type1/bluesky/cm/cmbx12.pfb>
-</usr/share/texmf/fonts/type1/bluesky/cm/cmtt10.pfb></usr/share/texmf/fonts/typ
-e1/bluesky/cm/cmr8.pfb></usr/share/texmf/fonts/type1/bluesky/cm/cmr10.pfb></usr
-/share/texmf/fonts/type1/bluesky/cm/cmr12.pfb></usr/share/texmf/fonts/type1/blu
-esky/cm/cmr17.pfb>
-Output written on zelig.pdf (344 pages, 1431354 bytes).
diff --git a/inst/doc/zelig.out b/inst/doc/zelig.out
deleted file mode 100644
index faaaf3a..0000000
--- a/inst/doc/zelig.out
+++ /dev/null
@@ -1,133 +0,0 @@
-\BOOKMARK [0][-]{chapter.1}{Introduction}{}
-\BOOKMARK [1][-]{section.1.1}{What Zelig and R Do}{chapter.1}
-\BOOKMARK [1][-]{section.1.2}{Getting Help}{chapter.1}
-\BOOKMARK [-1][-]{part.1}{I User's Guide}{}
-\BOOKMARK [0][-]{chapter.2}{Installation}{part.1}
-\BOOKMARK [1][-]{section.2.1}{Windows}{chapter.2}
-\BOOKMARK [1][-]{section.2.2}{MacOS X}{chapter.2}
-\BOOKMARK [1][-]{section.2.3}{UNIX and Linux}{chapter.2}
-\BOOKMARK [1][-]{section.2.4}{Version Compatability}{chapter.2}
-\BOOKMARK [0][-]{chapter.3}{Data Analysis Commands}{part.1}
-\BOOKMARK [1][-]{section.3.1}{Command Syntax}{chapter.3}
-\BOOKMARK [2][-]{subsection.3.1.1}{Getting Started}{section.3.1}
-\BOOKMARK [2][-]{subsection.3.1.2}{Details}{section.3.1}
-\BOOKMARK [1][-]{section.3.2}{Data Sets}{chapter.3}
-\BOOKMARK [2][-]{subsection.3.2.1}{Data Structures}{section.3.2}
-\BOOKMARK [2][-]{subsection.3.2.2}{Loading Data}{section.3.2}
-\BOOKMARK [2][-]{subsection.3.2.3}{Saving Data}{section.3.2}
-\BOOKMARK [1][-]{section.3.3}{Variables}{chapter.3}
-\BOOKMARK [2][-]{subsection.3.3.1}{Classes of Variables}{section.3.3}
-\BOOKMARK [2][-]{subsection.3.3.2}{Recoding Variables}{section.3.3}
-\BOOKMARK [0][-]{chapter.4}{Statistical Commands}{part.1}
-\BOOKMARK [1][-]{section.4.1}{Zelig Commands}{chapter.4}
-\BOOKMARK [2][-]{subsection.4.1.1}{Quick Overview}{section.4.1}
-\BOOKMARK [2][-]{subsection.4.1.2}{Examples}{section.4.1}
-\BOOKMARK [2][-]{subsection.4.1.3}{Details}{section.4.1}
-\BOOKMARK [1][-]{section.4.2}{Supported Models}{chapter.4}
-\BOOKMARK [1][-]{section.4.3}{Replication Procedures}{chapter.4}
-\BOOKMARK [2][-]{subsection.4.3.1}{Saving Replication Materials}{section.4.3}
-\BOOKMARK [2][-]{subsection.4.3.2}{Replicating Analyses}{section.4.3}
-\BOOKMARK [0][-]{chapter.5}{Graphing Commands}{part.1}
-\BOOKMARK [1][-]{section.5.1}{Drawing Plots}{chapter.5}
-\BOOKMARK [1][-]{section.5.2}{Adding Points, Lines, and Legends to Existing Plots}{chapter.5}
-\BOOKMARK [1][-]{section.5.3}{Saving Graphs to Files}{chapter.5}
-\BOOKMARK [1][-]{section.5.4}{Examples}{chapter.5}
-\BOOKMARK [2][-]{subsection.5.4.1}{Descriptive Plots: Box-plots}{section.5.4}
-\BOOKMARK [2][-]{subsection.5.4.2}{Density Plots: A Histogram}{section.5.4}
-\BOOKMARK [2][-]{subsection.5.4.3}{Advanced Examples}{section.5.4}
-\BOOKMARK [-1][-]{part.2}{II Advanced Zelig Uses}{}
-\BOOKMARK [0][-]{chapter.6}{R Objects}{part.2}
-\BOOKMARK [1][-]{section.6.1}{Scalar Values}{chapter.6}
-\BOOKMARK [1][-]{section.6.2}{Data Structures}{chapter.6}
-\BOOKMARK [2][-]{subsection.6.2.1}{Arrays}{section.6.2}
-\BOOKMARK [2][-]{subsection.6.2.2}{Lists}{section.6.2}
-\BOOKMARK [2][-]{subsection.6.2.3}{Data Frames}{section.6.2}
-\BOOKMARK [2][-]{subsection.6.2.4}{Identifying Objects and Data Structures}{section.6.2}
-\BOOKMARK [0][-]{chapter.7}{Programming Statements}{part.2}
-\BOOKMARK [1][-]{section.7.1}{Functions}{chapter.7}
-\BOOKMARK [1][-]{section.7.2}{If-Statements}{chapter.7}
-\BOOKMARK [1][-]{section.7.3}{For-Loops}{chapter.7}
-\BOOKMARK [0][-]{chapter.8}{Writing New Models}{part.2}
-\BOOKMARK [1][-]{section.8.1}{Managing Statistical Model Inputs}{chapter.8}
-\BOOKMARK [2][-]{subsection.8.1.1}{Describe the Statistical Model}{section.8.1}
-\BOOKMARK [2][-]{subsection.8.1.2}{Single Response Variable Models: Normal Regression Model}{section.8.1}
-\BOOKMARK [2][-]{subsection.8.1.3}{Multivariate models: Bivariate Normal example}{section.8.1}
-\BOOKMARK [1][-]{section.8.2}{Easy Ways to Manage Matrices}{chapter.8}
-\BOOKMARK [2][-]{subsection.8.2.1}{The Intuitive Layout}{section.8.2}
-\BOOKMARK [2][-]{subsection.8.2.2}{The Computationally-Efficient Layout}{section.8.2}
-\BOOKMARK [2][-]{subsection.8.2.3}{The Memory-Efficient Layout}{section.8.2}
-\BOOKMARK [2][-]{subsection.8.2.4}{Interchanging the Three Methods}{section.8.2}
-\BOOKMARK [0][-]{chapter.9}{Adding Models and Methods to Zelig}{part.2}
-\BOOKMARK [1][-]{section.9.1}{Making the Model Compatible with Zelig}{chapter.9}
-\BOOKMARK [1][-]{section.9.2}{Getting Ready for the GUI}{chapter.9}
-\BOOKMARK [1][-]{section.9.3}{Formatting Reference Manual Pages}{chapter.9}
-\BOOKMARK [-1][-]{part.3}{III Reference Manual}{}
-\BOOKMARK [0][-]{chapter.10}{Main Commands}{part.3}
-\BOOKMARK [1][-]{section.10.1}{zelig: Estimating a Statistical Model}{chapter.10}
-\BOOKMARK [1][-]{section.10.2}{setx: Setting Explanatory Variable Values}{chapter.10}
-\BOOKMARK [1][-]{section.10.3}{sim: Simulating Quantities of Interest}{chapter.10}
-\BOOKMARK [1][-]{section.10.4}{summary: Summarizing Zelig Output}{chapter.10}
-\BOOKMARK [1][-]{section.10.5}{plot: Graphing Quantities of Interest}{chapter.10}
-\BOOKMARK [1][-]{section.10.6}{print: Printing Quantities of Interest}{chapter.10}
-\BOOKMARK [1][-]{section.10.7}{repl: Replicating Analyses}{chapter.10}
-\BOOKMARK [0][-]{chapter.11}{Supplementary Commands}{part.3}
-\BOOKMARK [1][-]{section.11.1}{matchit: Create matched data}{chapter.11}
-\BOOKMARK [1][-]{section.11.2}{mi: Create a list of multiply imputed data frames}{chapter.11}
-\BOOKMARK [2][-]{subsection.11.2.1}{ network: Format Individual Matricies into a Data Frame for Social Network Analysis }{section.11.2}
-\BOOKMARK [1][-]{section.11.3}{plot.ci: Plotting Vertical confidence Intervals}{chapter.11}
-\BOOKMARK [1][-]{section.11.4}{rocplot: Receiver Operator Characteristic Plots}{chapter.11}
-\BOOKMARK [1][-]{section.11.5}{ternaryplot: Ternary Diagram for 3D Data}{chapter.11}
-\BOOKMARK [1][-]{section.11.6}{ternarypoints: Adding Points to Ternary Diagrams}{chapter.11}
-\BOOKMARK [0][-]{chapter.12}{Models Zelig Can Run}{part.3}
-\BOOKMARK [1][-]{section.12.1}{ARIMA : ARIMA Models for Time Series Data}{chapter.12}
-\BOOKMARK [1][-]{section.12.2}{blogit: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.3}{bprobit: Bivariate Probit Regression for Two Dichotomous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.4}{ei.dynamic: Quinn's Dynamic Ecological Inference Model}{chapter.12}
-\BOOKMARK [1][-]{section.12.5}{ei.hier: Hierarchical Ecological Inference Model for 2 2 Tables}{chapter.12}
-\BOOKMARK [1][-]{section.12.6}{ei.RxC: Hierarchical Multinomial-Dirichlet Ecological Inference Model for R C Tables}{chapter.12}
-\BOOKMARK [1][-]{section.12.7}{exp: Exponential Regression for Duration Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.8}{factor.bayes: Bayesian Factor Analysis}{chapter.12}
-\BOOKMARK [1][-]{section.12.9}{factor.mix: Mixed Data Factor Analysis}{chapter.12}
-\BOOKMARK [1][-]{section.12.10}{factor.ord: Ordinal Data Factor Analysis}{chapter.12}
-\BOOKMARK [1][-]{section.12.11}{gamma: Gamma Regression for Continuous, Positive Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.12}{irt1d: One Dimensional Item Response Model}{chapter.12}
-\BOOKMARK [1][-]{section.12.13}{irtkd: k-Dimensional Item Response Theory Model}{chapter.12}
-\BOOKMARK [1][-]{section.12.14}{logit: Logistic Regression for Dichotomous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.15}{logit.bayes: Bayesian Logistic Regression}{chapter.12}
-\BOOKMARK [1][-]{section.12.16}{lognorm: Log-Normal Regression for Duration Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.17}{ls: Least Squares Regression for Continuous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.18}{mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}{chapter.12}
-\BOOKMARK [1][-]{section.12.19}{mlogit.bayes: Bayesian Multinomial Logistic Regression}{chapter.12}
-\BOOKMARK [1][-]{section.12.20}{negbin: Negative Binomial Regression for Event Count Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.21}{netls: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.22}{netlogit: Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.23}{normal: Normal Regression for Continuous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.24}{normal.bayes: Bayesian Normal Linear Regression}{chapter.12}
-\BOOKMARK [1][-]{section.12.25}{ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.26}{oprobit: Ordinal Probit Regression for Ordered Categorical Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.27}{oprobit.bayes: Bayesian Ordered Probit Regression}{chapter.12}
-\BOOKMARK [1][-]{section.12.28}{poisson: Poisson Regression for Event Count Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.29}{poisson.bayes: Bayesian Poisson Regression}{chapter.12}
-\BOOKMARK [1][-]{section.12.30}{probit: Probit Regression for Dichotomous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.31}{probit.bayes: Bayesian Probit Regression}{chapter.12}
-\BOOKMARK [1][-]{section.12.32}{relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.33}{tobit: Linear Regression for a Left-Censored Dependent Variable}{chapter.12}
-\BOOKMARK [1][-]{section.12.34}{tobit.bayes: Bayesian Linear Regression for a Censored Dependent Variable}{chapter.12}
-\BOOKMARK [1][-]{section.12.35}{weibull: Weibull Regression for Duration Dependent Variables}{chapter.12}
-\BOOKMARK [0][-]{chapter.13}{Commands for Programmers and Contributors}{part.3}
-\BOOKMARK [1][-]{section.13.1}{describe: Describe a model's systematic and stochastic parameters}{chapter.13}
-\BOOKMARK [1][-]{section.13.2}{model.end: Cleaning up after optimization}{chapter.13}
-\BOOKMARK [1][-]{section.13.3}{model.frame.multiple: Extracting the ``environment'' of a model formula}{chapter.13}
-\BOOKMARK [1][-]{section.13.4}{model.matrix.multiple: Design matrix for multivariate models}{chapter.13}
-\BOOKMARK [1][-]{section.13.5}{parse.formula: Parsing the inputs}{chapter.13}
-\BOOKMARK [1][-]{section.13.6}{parse.par: Select and reshape parameter vectors}{chapter.13}
-\BOOKMARK [1][-]{section.13.7}{put.start: Set specific starting values for certain parameters}{chapter.13}
-\BOOKMARK [1][-]{section.13.8}{set.start: Set starting values for all parameters}{chapter.13}
-\BOOKMARK [1][-]{section.13.9}{tag: Constrain parameter effects across equations}{chapter.13}
-\BOOKMARK [-1][-]{part.4}{IV Appendices}{}
-\BOOKMARK [0][-]{appendix.A}{Frequently Asked Questions}{part.4}
-\BOOKMARK [1][-]{section.A.1}{For All Zelig Users}{appendix.A}
-\BOOKMARK [1][-]{section.A.2}{For Zelig Contributors}{appendix.A}
-\BOOKMARK [0][-]{appendix.B}{What's New? What's Next?}{part.4}
-\BOOKMARK [1][-]{section.B.1}{What's New: Zelig Release Notes}{appendix.B}
-\BOOKMARK [1][-]{section.B.2}{What's Next?}{appendix.B}
diff --git a/inst/doc/zelig.pdf b/inst/doc/zelig.pdf
index 5c12494..0493041 100644
--- a/inst/doc/zelig.pdf
+++ b/inst/doc/zelig.pdf
@@ -411,13 +411,13 @@ endobj
 << /S /GoTo /D (section.10.4) >>
 endobj
 280 0 obj
-(summary: Summarizing Zelig Output)
+(sim: Simulating Quantities of Interest)
 endobj
 281 0 obj
 << /S /GoTo /D (section.10.5) >>
 endobj
 284 0 obj
-(plot: Graphing Quantities of Interest)
+(plot.zelig: Graphing Quantities of Interest)
 endobj
 285 0 obj
 << /S /GoTo /D (section.10.6) >>
@@ -447,34 +447,34 @@ endobj
 << /S /GoTo /D (section.11.2) >>
 endobj
 304 0 obj
-(mi: Create a list of multiply imputed data frames)
+(mi: Bundle multiply imputed data sets as a list)
 endobj
 305 0 obj
-<< /S /GoTo /D (subsection.11.2.1) >>
+<< /S /GoTo /D (section.11.3) >>
 endobj
 308 0 obj
-( network: Format Individual Matricies into a Data Frame for Social Network Analysis )
+(network: Format matricies into a data frame for social network analysis)
 endobj
 309 0 obj
-<< /S /GoTo /D (section.11.3) >>
+<< /S /GoTo /D (section.11.4) >>
 endobj
 312 0 obj
 (plot.ci: Plotting Vertical confidence Intervals)
 endobj
 313 0 obj
-<< /S /GoTo /D (section.11.4) >>
+<< /S /GoTo /D (section.11.5) >>
 endobj
 316 0 obj
 (rocplot: Receiver Operator Characteristic Plots)
 endobj
 317 0 obj
-<< /S /GoTo /D (section.11.5) >>
+<< /S /GoTo /D (section.11.6) >>
 endobj
 320 0 obj
-(ternaryplot: Ternary Diagram for 3D Data)
+(ternaryplot: Ternary diagram)
 endobj
 321 0 obj
-<< /S /GoTo /D (section.11.6) >>
+<< /S /GoTo /D (section.11.7) >>
 endobj
 324 0 obj
 (ternarypoints: Adding Points to Ternary Diagrams)
@@ -489,7 +489,7 @@ endobj
 << /S /GoTo /D (section.12.1) >>
 endobj
 332 0 obj
-(ARIMA : ARIMA Models for Time Series Data)
+(ARIMA: ARIMA Models for Time Series Data)
 endobj
 333 0 obj
 << /S /GoTo /D (section.12.2) >>
@@ -501,7 +501,7 @@ endobj
 << /S /GoTo /D (section.12.3) >>
 endobj
 340 0 obj
-(bprobit: Bivariate Probit Regression for Two Dichotomous Dependent Variables)
+(bprobit: Bivariate Logistic Regression for Two Dichotomous Dependent Variables)
 endobj
 341 0 obj
 << /S /GoTo /D (section.12.4) >>
@@ -534,4258 +534,4231 @@ endobj
 (factor.bayes: Bayesian Factor Analysis)
 endobj
 361 0 obj
-<< /S /GoTo /D (section.12.9) >>
+<< /S /GoTo /D (section.12.1) >>
 endobj
-364 0 obj
+363 0 obj
 (factor.mix: Mixed Data Factor Analysis)
 endobj
-365 0 obj
-<< /S /GoTo /D (section.12.10) >>
+364 0 obj
+<< /S /GoTo /D (section.12.2) >>
 endobj
-368 0 obj
+366 0 obj
 (factor.ord: Ordinal Data Factor Analysis)
 endobj
+367 0 obj
+<< /S /GoTo /D (section.12.3) >>
+endobj
 369 0 obj
-<< /S /GoTo /D (section.12.11) >>
+(gamma: Gamma Regression for Continuous, Positive Dependent Variables)
+endobj
+370 0 obj
+<< /S /GoTo /D (section.12.4) >>
 endobj
 372 0 obj
-(gamma: Gamma Regression for Continuous, Positive Dependent Variables)
+(irt1d: One Dimensional Item Response Model)
 endobj
 373 0 obj
-<< /S /GoTo /D (section.12.12) >>
+<< /S /GoTo /D (section.12.5) >>
+endobj
+375 0 obj
+(irtkd: k-Dimensional Item Response Theory Model)
 endobj
 376 0 obj
-(irt1d: One Dimensional Item Response Model)
+<< /S /GoTo /D (section.12.6) >>
 endobj
-377 0 obj
-<< /S /GoTo /D (section.12.13) >>
+378 0 obj
+(logit: Logistic Regression for Dichotomous Dependent Variables)
 endobj
-380 0 obj
-(irtkd: k-Dimensional Item Response Theory Model)
+379 0 obj
+<< /S /GoTo /D (section.12.7) >>
 endobj
 381 0 obj
-<< /S /GoTo /D (section.12.14) >>
+(logit.bayes: Bayesian Logistic Regression)
+endobj
+382 0 obj
+<< /S /GoTo /D (section.12.8) >>
 endobj
 384 0 obj
-(logit: Logistic Regression for Dichotomous Dependent Variables)
+(lognorm: Log-Normal Regression for Duration Dependent Variables)
 endobj
 385 0 obj
-<< /S /GoTo /D (section.12.15) >>
+<< /S /GoTo /D (section.12.9) >>
 endobj
 388 0 obj
-(logit.bayes: Bayesian Logistic Regression)
+(ls: Least Squares Regression for Continuous Dependent Variables)
 endobj
 389 0 obj
-<< /S /GoTo /D (section.12.16) >>
+<< /S /GoTo /D (section.12.10) >>
 endobj
 392 0 obj
-(lognorm: Log-Normal Regression for Duration Dependent Variables)
+(mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values)
 endobj
 393 0 obj
-<< /S /GoTo /D (section.12.17) >>
+<< /S /GoTo /D (section.12.11) >>
 endobj
 396 0 obj
-(ls: Least Squares Regression for Continuous Dependent Variables)
+(mlogit.bayes: Bayesian Multinomial Logistic Regression)
 endobj
 397 0 obj
-<< /S /GoTo /D (section.12.18) >>
+<< /S /GoTo /D (section.12.12) >>
 endobj
 400 0 obj
-(mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values)
+(mloglm: Multinomial Log-Linear Regression for Contingency Table Models)
 endobj
 401 0 obj
-<< /S /GoTo /D (section.12.19) >>
+<< /S /GoTo /D (section.12.13) >>
 endobj
 404 0 obj
-(mlogit.bayes: Bayesian Multinomial Logistic Regression)
+(negbin: Negative Binomial Regression for Event Count Dependent Variables)
 endobj
 405 0 obj
-<< /S /GoTo /D (section.12.20) >>
+<< /S /GoTo /D (section.12.14) >>
 endobj
 408 0 obj
-(negbin: Negative Binomial Regression for Event Count Dependent Variables)
+(netls: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables)
 endobj
 409 0 obj
-<< /S /GoTo /D (section.12.21) >>
+<< /S /GoTo /D (section.12.15) >>
 endobj
 412 0 obj
-(netls: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables)
+(netlogit: Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables)
 endobj
 413 0 obj
-<< /S /GoTo /D (section.12.22) >>
+<< /S /GoTo /D (section.12.16) >>
 endobj
 416 0 obj
-(netlogit: Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables)
+(normal: Normal Regression for Continuous Dependent Variables)
 endobj
 417 0 obj
-<< /S /GoTo /D (section.12.23) >>
+<< /S /GoTo /D (section.12.17) >>
 endobj
 420 0 obj
-(normal: Normal Regression for Continuous Dependent Variables)
+(normal.bayes: Bayesian Normal Linear Regression)
 endobj
 421 0 obj
-<< /S /GoTo /D (section.12.24) >>
+<< /S /GoTo /D (section.12.18) >>
 endobj
 424 0 obj
-(normal.bayes: Bayesian Normal Linear Regression)
+(ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables)
 endobj
 425 0 obj
-<< /S /GoTo /D (section.12.25) >>
+<< /S /GoTo /D (section.12.19) >>
 endobj
 428 0 obj
-(ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables)
+(oprobit: Ordinal Probit Regression for Ordered Categorical Dependent Variables)
 endobj
 429 0 obj
-<< /S /GoTo /D (section.12.26) >>
+<< /S /GoTo /D (section.12.20) >>
 endobj
 432 0 obj
-(oprobit: Ordinal Probit Regression for Ordered Categorical Dependent Variables)
+(oprobit.bayes: Bayesian Ordered Probit Regression)
 endobj
 433 0 obj
-<< /S /GoTo /D (section.12.27) >>
+<< /S /GoTo /D (section.12.21) >>
 endobj
 436 0 obj
-(oprobit.bayes: Bayesian Ordered Probit Regression)
+(poisson: Poisson Regression for Event Count Dependent Variables)
 endobj
 437 0 obj
-<< /S /GoTo /D (section.12.28) >>
+<< /S /GoTo /D (section.12.22) >>
 endobj
 440 0 obj
-(poisson: Poisson Regression for Event Count Dependent Variables)
+(poisson.bayes: Bayesian Poisson Regression)
 endobj
 441 0 obj
-<< /S /GoTo /D (section.12.29) >>
+<< /S /GoTo /D (section.12.23) >>
 endobj
 444 0 obj
-(poisson.bayes: Bayesian Poisson Regression)
+(probit: Probit Regression for Dichotomous Dependent Variables)
 endobj
 445 0 obj
-<< /S /GoTo /D (section.12.30) >>
+<< /S /GoTo /D (section.12.24) >>
 endobj
 448 0 obj
-(probit: Probit Regression for Dichotomous Dependent Variables)
+(probit.bayes: Bayesian Probit Regression)
 endobj
 449 0 obj
-<< /S /GoTo /D (section.12.31) >>
+<< /S /GoTo /D (section.12.25) >>
 endobj
 452 0 obj
-(probit.bayes: Bayesian Probit Regression)
+(relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables)
 endobj
 453 0 obj
-<< /S /GoTo /D (section.12.32) >>
+<< /S /GoTo /D (section.12.26) >>
 endobj
 456 0 obj
-(relogit: Rare Events Logistic Regression for Dichotomous Dependent Variables)
+(tobit: Linear Regression for a Left-Censored Dependent Variable)
 endobj
 457 0 obj
-<< /S /GoTo /D (section.12.33) >>
+<< /S /GoTo /D (section.12.27) >>
 endobj
 460 0 obj
-(tobit: Linear Regression for a Left-Censored Dependent Variable)
+(tobit.bayes: Bayesian Linear Regression for a Censored Dependent Variable)
 endobj
 461 0 obj
-<< /S /GoTo /D (section.12.34) >>
+<< /S /GoTo /D (section.12.28) >>
 endobj
 464 0 obj
-(tobit.bayes: Bayesian Linear Regression for a Censored Dependent Variable)
-endobj
-465 0 obj
-<< /S /GoTo /D (section.12.35) >>
-endobj
-468 0 obj
 (weibull: Weibull Regression for Duration Dependent Variables)
 endobj
-469 0 obj
+465 0 obj
 << /S /GoTo /D (chapter.13) >>
 endobj
-472 0 obj
+468 0 obj
 (Commands for Programmers and Contributors)
 endobj
-473 0 obj
+469 0 obj
 << /S /GoTo /D (section.13.1) >>
 endobj
-476 0 obj
+472 0 obj
 (describe: Describe a model's systematic and stochastic parameters)
 endobj
-477 0 obj
+473 0 obj
 << /S /GoTo /D (section.13.2) >>
 endobj
-480 0 obj
+476 0 obj
 (model.end: Cleaning up after optimization)
 endobj
-481 0 obj
+477 0 obj
 << /S /GoTo /D (section.13.3) >>
 endobj
-484 0 obj
+480 0 obj
 (model.frame.multiple: Extracting the ``environment'' of a model formula)
 endobj
-485 0 obj
+481 0 obj
 << /S /GoTo /D (section.13.4) >>
 endobj
-488 0 obj
+484 0 obj
 (model.matrix.multiple: Design matrix for multivariate models)
 endobj
-489 0 obj
+485 0 obj
 << /S /GoTo /D (section.13.5) >>
 endobj
-492 0 obj
+488 0 obj
 (parse.formula: Parsing the inputs)
 endobj
-493 0 obj
+489 0 obj
 << /S /GoTo /D (section.13.6) >>
 endobj
-496 0 obj
+492 0 obj
 (parse.par: Select and reshape parameter vectors)
 endobj
-497 0 obj
+493 0 obj
 << /S /GoTo /D (section.13.7) >>
 endobj
-500 0 obj
+496 0 obj
 (put.start: Set specific starting values for certain parameters)
 endobj
-501 0 obj
+497 0 obj
 << /S /GoTo /D (section.13.8) >>
 endobj
-504 0 obj
+500 0 obj
 (set.start: Set starting values for all parameters)
 endobj
-505 0 obj
+501 0 obj
 << /S /GoTo /D (section.13.9) >>
 endobj
-508 0 obj
+504 0 obj
 (tag: Constrain parameter effects across equations)
 endobj
-509 0 obj
+505 0 obj
 << /S /GoTo /D (part.4) >>
 endobj
-512 0 obj
+508 0 obj
 (IV Appendices)
 endobj
-513 0 obj
+509 0 obj
 << /S /GoTo /D (appendix.A) >>
 endobj
-516 0 obj
+512 0 obj
 (Frequently Asked Questions)
 endobj
-517 0 obj
+513 0 obj
 << /S /GoTo /D (section.A.1) >>
 endobj
-520 0 obj
+516 0 obj
 (For All Zelig Users)
 endobj
-521 0 obj
+517 0 obj
 << /S /GoTo /D (section.A.2) >>
 endobj
-524 0 obj
+520 0 obj
 (For Zelig Contributors)
 endobj
-525 0 obj
+521 0 obj
 << /S /GoTo /D (appendix.B) >>
 endobj
-528 0 obj
+524 0 obj
 (What's New? What's Next?)
 endobj
-529 0 obj
+525 0 obj
 << /S /GoTo /D (section.B.1) >>
 endobj
-532 0 obj
+528 0 obj
 (What's New: Zelig Release Notes)
 endobj
-533 0 obj
+529 0 obj
 << /S /GoTo /D (section.B.2) >>
 endobj
-536 0 obj
+532 0 obj
 (What's Next?)
 endobj
-537 0 obj
-<< /S /GoTo /D [538 0 R  /Fit ] >>
+533 0 obj
+<< /S /GoTo /D [534 0 R  /Fit ] >>
 endobj
-540 0 obj <<
-/Length 1188      
+536 0 obj <<
+/Length 1212      
 /Filter /FlateDecode
 >>
 stream
-xڍVKS�8��+|[�
-
�-g/d�
	y��a�8(��QeS�*9�o�nI

��X#u���uK����q��j-��2c�R�m�$��d�|���^����7y!KMN�ۜR����fS���(9�ڻރy��at�#�u�h`��s��
��R[���? 

��و�R�yf��l���*F%���JVa���-�ﯝ��6�h�g4����	^|b[)����j����o���j�Tr�*^��e�o���E�n;�,�
!�	�YE�����?r�S��dx��73pnF�-D�'���
DG�OC����~��4������D&z@�>_x"VҪ�B
�
RH+��W�1m�N�(����ܒ>���n;�l�D�į&�*	MhK�%eQR��6a���p�6W�6�v�P������V#�\j**�����o�

\}��ӕko]���b{�K���1J�䎑3�,1!#u����*�`�U�4�LD���B�B���������P�8]�k��Pm���R���bغ� �*��u{����xy��"N��?����B7��p؂�'j qV%��q�=��X�o��ӮwC�U��y
���kZ`��!�a�&��N��U��,���5*���a�p����������S?�.PBo��#Z``����o�&�n���%�� [...]
-��H�d���?(�Y���S�Bj�Z�
����L��V_Q����O�B~DZIx(2#4y�m�a،0�t��MM1i����n���:�cL1���)��Њ�X��PsC
-��������o�Dj����}�b��=���b1��e��$t
��8i��K_'������fq�(\�׈�-T��j���[\8�b��.�;���)A���q
���zlZ��[r&�V�gLZ��uMOSǞ֓�ׅ/HU��h��
��W1�u~��f�'d�B��%7�H�ã
"2ְ|��ϱs��Н1������k�"�"|�5�փ֨b�ΚxY�:J��S%�Ӡ_Ȯ�)�'
�1
-QE�ڤ����!껭c��VƓR�

��A~V*�1���������ͺ�K�=���&p7k7�o��qf�+��
y�� �eM��y�|�	d�d��$���endstream
+xڭWKs�6��W�Vr&� ���4~�v�&��>�Lٞʒǔ�q���],Eڢ$O�D\�����ϣ���-EY�h�(�Eak��'��?���i��W0~�r#Mz�ʴK��G|�a}��~�,/�J?�tQ��l�w����^�{�7A�L��jB��:�kt~��)ѯB:�e�8aB �J%hK(����š�^]��f	?gڧ5Xg��PQ(��'A��+��:�B�	Ԡ\0FX���)y
�
����p�a��B9�3Pl3��~�|���YEc�9��-
+;-f�V�<�e�e�$�[案Qs��Ek������Ү �ʉPĴ�/[
Ą+����K
.�S(fp�F�$��
iMW`�Le�
	W@�E���k��t:^r5p�3,��`�]X��<���֮9�M�����ay���U�n��2�n�R�W��t��Q(ُ�I׉�(����;��Jy\��s3�/��~������<_��o�֧��f��s ǎa�|�(%���3���P6xF�P.
(f�|�
W���H�yC�,lԸ�7�hc�SZ�n�8�
�l�Ē���z�ąևgr�0�����U]Q�0�T�eE��H�Iy���w!3�No�&�{���6X2�^�ꦙ�G���N�p��
n���{1BJ�k�
~�R��&Ž��
�|���'� �?F\����C�C��US��t9� QA�E1bbN�`��
>wc|�
n��7�	r����)�5�AƆ �{aϰj�Fɸa�ɸX�Q�xM�Mb
S�&怋и�Q�=�b+���>c�>��|
�\��V:�^
�t�O�~>
��t�F�8qEHO�s>��I�
"�@���#�-tf}�ĽQ��x��1�Y��#�a
��ڣ�������$F@{>��j�G���N��_@�U|��!�1��h+�2-p��h �T��ōo�[���
".�4w6����&
+4
%
+�_�Qܿ��/0�R���T>I�.�b�/:�=�uI
`�����>�#i����
�0��nhp
�R9�#��`ឥ�v�j�
0�)j�w�]��}�<j+V�m�mA+B>
�nw�þLmԼ���p ��]Q���`�݅H�b�6��P�77N��[)�t{��.�����|�߭o��݄a��ǫ�?|R=}�Q�k��o�>n�/��'r�䙣��T��n�W

��8rmendstream
 endobj
-538 0 obj <<
+534 0 obj <<
 /Type /Page
-/Contents 540 0 R
-/Resources 539 0 R
+/Contents 536 0 R
+/Resources 535 0 R
 /MediaBox [0 0 612 792]
-/Parent 558 0 R
+/Parent 554 0 R
 >> endobj
-541 0 obj <<
-/D [538 0 R /XYZ 72 720 null]
+537 0 obj <<
+/D [534 0 R /XYZ 72 720 null]
 >> endobj
-542 0 obj <<
-/D [538 0 R /XYZ 72 720 null]
+538 0 obj <<
+/D [534 0 R /XYZ 72 720 null]
 >> endobj
-539 0 obj <<
-/Font << /F25 545 0 R /F26 548 0 R /F8 551 0 R /F48 554 0 R /F65 557 0 R >>
+535 0 obj <<
+/Font << /F28 541 0 R /F29 544 0 R /F8 547 0 R /F69 550 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-561 0 obj <<
-/Length 947       
+557 0 obj <<
+/Length 946       
 /Filter /FlateDecode
 >>
 stream
-x��Mw�@����8�
Kmj���ڤ�S�

T9&����{g�ҖX�B7	��$����ޙ�����T�0�:tWN�
�t��p�7w��{��5\��o�[W���3�� ���W* �����#�ܣnt��
���M��:�GE��nh�c�7
)#ǧ"B�I��Bܯ��3�^��짽���^�ٷ�
�
x��1�z�ZR�
�H���H�f�~��
���jK��8�<KL�+W��*�o�&���|�2�W���W 
�{�w[p0.5u)��*����Q��+xY�x��(�P��\8ؕf���I�1��������-��se���Xa]����ӹ
�
�ל�pk��An��v�����-F'��8�Q��[@	�L	��%\_<0�����X&ˮ7q�d������
+%=`��
�d�
��93F��J�Mn��B
��3�p�_ʓ
-]��/E�VZ��K���������r
��������z@��@ш
PP�%�M�im�Y[i����#�R�
��:�����R=�D€�)�Lt?US��gyu�((�F�ׂ���!�
�����2��%t[�25�S�C
Y:�G�q��J:�r�r�!C��
�y�E�u�����ӈ-�{���
eTf�X[�/��.�b�W�W�#B,��2eDe�W\Y�������b �>FG��
j��,]P҆=�j�<R��##�Z�4�"�"̍��}E���-�K0�5OzB��ۊ���@t���!�m863�i#�'�
���{���l���evz��TZ^g�
�����C�д�}�j�Ea�7�ٴ$���͈�4O}R���5O��fc�DQv�5͉�I�@R$�"=)vzPemMw�nV�,�N|nq}2��9�l�%um#%�(Y��Sv�z�>�/� �{�'�k
-�
-
-�K��`��T�@F������&|�w����ŵ�endstream
+x��KW�@��|��L���R
"
�E9z\�6h� �>x|{��"I�5�"dȤ�����������w���D*L�IATB
&���(��

#��5
�|��~L>��1NR���(��H��n
�)�Iy��]S�73�i��S����J�ҤX&�� �,aL��q��O����o�0��#bJx�-�q�����!8�ۏ�th
S�`���i�NX������+���w��#��帽7 �!�R��V~���
�!tN�>)��'�����҈��|eF1�,<�h��,�	�J� ��`&R��Hg�;���2���
�&%R��"������Q�/��9�02|IEWU�^Wg:B�s�1�z��b�=Cːv0����Ǔ+
O�M�4�+H�

� .g�(��d�Hi7�fT6
+ 8��[c���O�֯�k��9��}%���8��“�����1�7����g�,��WR��0�<_��@A��7Hw3lZ3�ыi
��ݗ1���0$%�6� �8m�Y@ń�D�J�n�mNI��Nn�q�u��x�,g
t�#��3&Җ�`8�q�q��bE�����_j�טV5��v픬+Ӕn܅L�-�9?Ԓ�UY���k����)��
+*�{��c76P`�}�
+�I9
�ҭ�H�ū_l����)���L�tٶj�֜q�7V+�T�_���0��5�(�f����x�d�[��
�n�76P
(J^n��m����֪4��NjK�ĥb&&h�Ή�:���-��)�R,c"9�&a--�gW:��ED�,T�����?����
�E��Np�E��\���ojMS
� ����Mu�p��ة�޾�q+~yGCk��X�2��lPHUGR�"������Yӛ��ii�8�Y6���
�>Bdͽz�du1�j�v�}�g���1��?�g_4a%�HS�(�
~qp49�
S
endstream
 endobj
-560 0 obj <<
+556 0 obj <<
 /Type /Page
-/Contents 561 0 R
-/Resources 559 0 R
+/Contents 557 0 R
+/Resources 555 0 R
 /MediaBox [0 0 612 792]
-/Parent 558 0 R
-/Annots [ 566 0 R 567 0 R 568 0 R 569 0 R 570 0 R 571 0 R 572 0 R 573 0 R 574 0 R 575 0 R 576 0 R 577 0 R 578 0 R 579 0 R 580 0 R 581 0 R 582 0 R 583 0 R 584 0 R 585 0 R 586 0 R 587 0 R 588 0 R 589 0 R 590 0 R 591 0 R 592 0 R 593 0 R ]
+/Parent 554 0 R
+/Annots [ 562 0 R 563 0 R 564 0 R 565 0 R 566 0 R 567 0 R 568 0 R 569 0 R 570 0 R 571 0 R 572 0 R 573 0 R 574 0 R 575 0 R 576 0 R 577 0 R 578 0 R 579 0 R 580 0 R 581 0 R 582 0 R 583 0 R 584 0 R 585 0 R 586 0 R 587 0 R 588 0 R 589 0 R ]
 >> endobj
-566 0 obj <<
+562 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 561.345 164.569 571.64]
+/Rect [71.004 561.347 164.518 571.589]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.1) >>
 >> endobj
-567 0 obj <<
+563 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 544.575 229.003 557.194]
+/Rect [88.56 544.582 228.857 557.125]
 /Subtype /Link
 /A << /S /GoTo /D (section.1.1) >>
 >> endobj
-568 0 obj <<
+564 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 530.129 184.214 542.748]
+/Rect [88.56 530.136 184.121 542.679]
 /Subtype /Link
 /A << /S /GoTo /D (section.1.2) >>
 >> endobj
-569 0 obj <<
+565 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 491.669 186.567 503.624]
+/Rect [71.004 491.676 186.488 503.567]
 /Subtype /Link
 /A << /S /GoTo /D (part.1) >>
 >> endobj
-570 0 obj <<
+566 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 465.517 157.283 475.812]
+/Rect [71.004 465.526 157.201 475.767]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.2) >>
 >> endobj
-571 0 obj <<
+567 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 451.071 164.364 461.366]
+/Rect [88.56 451.08 164.312 461.303]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.1) >>
 >> endobj
-572 0 obj <<
+568 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 436.626 167.546 446.788]
+/Rect [88.56 436.634 167.504 446.858]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.2) >>
 >> endobj
-573 0 obj <<
+569 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 422.18 204.117 432.475]
+/Rect [88.56 422.188 204.015 432.412]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.3) >>
 >> endobj
-574 0 obj <<
+570 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 405.409 232.649 418.029]
+/Rect [88.56 405.423 232.479 417.966]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.4) >>
 >> endobj
-575 0 obj <<
+571 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 379.258 243.125 391.877]
+/Rect [71.004 379.273 242.991 391.834]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.3) >>
 >> endobj
-576 0 obj <<
+572 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 364.812 209.501 377.431]
+/Rect [88.56 364.828 209.37 377.37]
 /Subtype /Link
 /A << /S /GoTo /D (section.3.1) >>
 >> endobj
-577 0 obj <<
+573 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 350.366 235.66 362.985]
+/Rect [115.479 350.382 235.525 362.924]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.1.1) >>
 >> endobj
-578 0 obj <<
+574 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 338.245 190.607 348.539]
+/Rect [115.479 338.255 190.538 348.479]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.1.2) >>
 >> endobj
-579 0 obj <<
+575 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 323.799 167.455 333.961]
+/Rect [88.56 323.809 167.384 334.033]
 /Subtype /Link
 /A << /S /GoTo /D (section.3.2) >>
 >> endobj
-580 0 obj <<
+576 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 309.353 236.78 319.515]
+/Rect [115.479 309.363 236.649 319.587]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.1) >>
 >> endobj
-581 0 obj <<
+577 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 292.583 225.17 305.202]
+/Rect [115.479 292.598 225.053 305.141]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.2) >>
 >> endobj
-582 0 obj <<
+578 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 278.137 217.856 290.623]
+/Rect [115.479 278.153 217.748 290.695]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.3) >>
 >> endobj
-583 0 obj <<
+579 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 266.016 164.364 276.31]
+/Rect [88.56 266.026 164.3 276.249]
 /Subtype /Link
 /A << /S /GoTo /D (section.3.3) >>
 >> endobj
-584 0 obj <<
+580 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 251.57 255.67 261.864]
+/Rect [115.479 251.58 255.55 261.804]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.3.1) >>
 >> endobj
-585 0 obj <<
+581 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 234.799 253.035 247.419]
+/Rect [115.479 234.815 252.896 247.358]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.3.2) >>
 >> endobj
-586 0 obj <<
+582 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 210.972 219.41 221.267]
+/Rect [71.004 210.984 219.296 221.226]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.4) >>
 >> endobj
-587 0 obj <<
+583 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 194.202 203.388 206.821]
+/Rect [88.56 194.219 203.273 206.762]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.1) >>
 >> endobj
-588 0 obj <<
+584 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 179.756 236.555 192.375]
+/Rect [115.479 179.774 236.446 192.316]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.4.1.1) >>
 >> endobj
-589 0 obj <<
+585 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 165.31 204.264 177.929]
+/Rect [115.479 165.328 204.191 177.87]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.4.1.2) >>
 >> endobj
-590 0 obj <<
+586 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 153.189 190.607 163.484]
+/Rect [115.479 153.201 190.538 163.425]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.4.1.3) >>
 >> endobj
-591 0 obj <<
+587 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 136.418 210.863 149.038]
+/Rect [88.56 136.436 210.721 148.979]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.2) >>
 >> endobj
-592 0 obj <<
+588 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 121.973 235.9 134.592]
+/Rect [88.56 121.99 235.731 134.533]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.3) >>
 >> endobj
-593 0 obj <<
+589 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 107.527 302.46 120.146]
+/Rect [115.479 107.544 302.223 120.087]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.4.3.1) >>
 >> endobj
-565 0 obj <<
-/D [560 0 R /XYZ 72 588.493 null]
+561 0 obj <<
+/D [556 0 R /XYZ 72 588.493 null]
 >> endobj
-559 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+555 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-596 0 obj <<
-/Length 1424      
+592 0 obj <<
+/Length 1414      
 /Filter /FlateDecode
 >>
 stream
-x��Ys�F���)�U�e��țw}�)�ٲ�٪
XKl�P!d[�>�=B��Rٲl���ѿ��ߍ?O>\P�#$L8�
�͖��{2Ra�̮��

c�x!�Bh���E���*�O� ��;���x�^�{��(:�?$�c���9��Å�-4c�&�"$�"�I$��Ҝ����b���T�ﳙ�H�cC���I�:�W�/CΓ^@�M����ld
�L}����缨�%���^$�؋v�Q��t<����l���Sz��\�m+d7��D�j�/*s���?�~2߳%l����͞
VքJ� �- ��
���C�e��.�v�̺�r
���:�8�$�1:Jg
D���B���Bf&�%��3�M\%8�
�2[��gfz?(~4�*��G�U�S>
���G�$:��68��#���u+S; �6���-+ 3)�b��@��H($�bG�t��s��p>��å�M�%B
y�pc]��F!��F`Q(C>W�|�G<F"��
p���M�x����l��"	U���J$�� �j�[{�/w&���M� �b
§}������
��N������+̕L����;d�hd�0�R��\��U	�XB�"-�_Kx��UKNK�q���
���V��6�'�߶X�
���K�Yj�{�2
�.�؈�W�'���
�+,�z'�_7M�SͿa!�%��.uf;)���WlW��ܥ���m�]��
����T) �3'v�]�p�w"�VQm��MEE�[�.jz�$���p�G��l���=�
̺��Ẁ�CJީ�P�ێ^�L(��”$��
�����
�f��~�l�Ȱ���v�r
y�i�_`
0�9��`xC�<I���Oq�:i����2����f�>pC+ޯ�IBؑ,��A ��#�;tl7}���Z>�,���1�tX"�����Q����xD�L��˅�Oa�ϗ�ݾ���]�vn@�	��n0K�p�os[���襝p�w/b�	g�6�nsfպ
]y�c�l�
-Ɔ�>�}�c��2�Ϲ��L+G�زL?�\ 
���ge�����\��t�F_!Y7���2�dc}Q����@>����^@w��V�8;� W���2
>�z����J���
-3q�5Jv�
�vo���S13��։b�0����(C�Z������^��q��}=+���
�þ�q��c�I���I0R
-��מ�����T�#�p��'�wUMa
N�:�����uW2uI��
%�
/�J�ԜR�
l�1|C�c��f�Z����#$ {�u�9u3�%*��è穸�����,�����.�'#^�����US{�����[�C#���t���m���VC~��m��f��t�F�}
-���%�6�-U�׽.5�^�2 c~U
\|ݝN@Su\,(�CNx/Q�D�1;9��
l�	
endstream
+x��Ms�6���:�3�_Dov�Qu��c9�L�
���Z�G����X,H��M<�X��H�$���w�;�ys��
�}-D���l�>W��H�'�
����&}�0��ӌҜ%gf��5�k�\�e<2�;ܹ1��4c�Hv��O|4˼�����.�Zo�� �<����7���b�9P�r٧�H3Mdr4�
n/��ţx��lWf��bϸ�B�$�A+ܵ��*�B�̣�9�؈�!j
��<�7�3�c^$�^9��vm���8���xr?�
�������L���4��t�
k@����8���Gx`ҜS~��lbn��p�ʝs�o4�
�ng�򇑓-r�E�!��7���G?���[Wr}�C���a��I�P��C�4�F�-n.E�_�^� ��k�W�l��
g� q<C[�
bٽ5�ҙe{��j�&K�*{����G0%�[��啇��8�_�� �1g��v
��jV�
��s��PzP
AAظOE����$�鱑����1hi�@
�>��q�I_@n`h�6����S�
/K��e�&j��0�
3�s�C�,&ʈ�c\C���3w�?�E�l\I�؛�q�2*���Lv�Ы�k����?ӢQ�
�y�B��X!�dG��#�;��Cܝ!H�
�Ty�^"N�*�5L��ow&
�n ��MR�5�v4<�9�|�5�X!'� Y ':c�0-�@
��'�]M=��dT]l
�
&N�a�iM��q9�� 'X�nF�u���q�J��Iv�źҋr���>s-:GA�%,�
����eM^ʹT�:�L��" �^x
軬�V��Ñ�q���&\d��b���
1*��Yh�����^���01���Z�G/����������f��*,���ygM��m�T�M Ɂ"^�\s�[�Ʒ�v6'޽���u�Bwപ�����'�&.�C���ES��[Q�@�*y� \[
�<ʦRi
����T�&ہ��%��eoX�p�`�h~[;}�_�{�#�ݺ�
��1��lZO8�3_^w�eބ�X?(.6Rl �+ܓ�ESVĚP��w�kNk/��{�\�
+G�:�������:ek�������XK��̡II;SK.Λ�(Э0�@���l[�Q���[ˮ��4���Y����M�oVU��3Ɋ-�j��$�����U0N�^�w
�qgj]��*P��l_���A�[�@:)�Hb���W������ P���î�T�v���O���XGH bY5gF��D�)�
�s�2�'�2�a{�}�j���|d0���Z��ъ�Rw
S��~��"Z��DB���5�9_��>��;{~�
�ӝx~
�hd�?x�xQ5�$
�G���?GY,�ѢM̧���z�t�w�h+A�r�VN6�Tl����EN{�$}���|��|�?���endstream
 endobj
-595 0 obj <<
+591 0 obj <<
 /Type /Page
-/Contents 596 0 R
-/Resources 594 0 R
+/Contents 592 0 R
+/Resources 590 0 R
 /MediaBox [0 0 612 792]
-/Parent 558 0 R
-/Annots [ 598 0 R 599 0 R 600 0 R 601 0 R 602 0 R 603 0 R 604 0 R 605 0 R 606 0 R 607 0 R 608 0 R 609 0 R 610 0 R 611 0 R 612 0 R 613 0 R 614 0 R 615 0 R 616 0 R 617 0 R 618 0 R 619 0 R 620 0 R 621 0 R 622 0 R 623 0 R 624 0 R 625 0 R 626 0 R 627 0 R 628 0 R 629 0 R 630 0 R 631 0 R 632 0 R ]
+/Parent 554 0 R
+/Annots [ 594 0 R 595 0 R 596 0 R 597 0 R 598 0 R 599 0 R 600 0 R 601 0 R 602 0 R 603 0 R 604 0 R 605 0 R 606 0 R 607 0 R 608 0 R 609 0 R 610 0 R 611 0 R 612 0 R 613 0 R 614 0 R 615 0 R 616 0 R 617 0 R 618 0 R 619 0 R 620 0 R 621 0 R 622 0 R 623 0 R 624 0 R 625 0 R 626 0 R 627 0 R 628 0 R ]
 >> endobj
-598 0 obj <<
+594 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 704.724 261.879 717.343]
+/Rect [115.479 704.729 261.719 717.272]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.4.3.2) >>
 >> endobj
-599 0 obj <<
+595 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 678.572 216.159 691.191]
+/Rect [71.004 678.58 216.08 691.14]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.5) >>
 >> endobj
-600 0 obj <<
+596 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 664.126 190.702 676.746]
+/Rect [88.56 664.134 190.601 676.676]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.1) >>
 >> endobj
-601 0 obj <<
+597 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 649.681 386.539 662.3]
+/Rect [88.56 649.688 386.15 662.231]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.2) >>
 >> endobj
-602 0 obj <<
+598 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 635.235 234.584 647.854]
+/Rect [88.56 635.242 234.404 647.785]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.3) >>
 >> endobj
-603 0 obj <<
+599 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 620.789 166.805 633.408]
+/Rect [88.56 620.796 166.738 633.339]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.4) >>
 >> endobj
-604 0 obj <<
+600 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 606.343 299.338 618.962]
+/Rect [115.479 606.35 299.114 618.893]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.5.4.1) >>
 >> endobj
-605 0 obj <<
+601 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 591.897 298.194 604.516]
+/Rect [115.479 591.905 297.99 604.447]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.5.4.2) >>
 >> endobj
-606 0 obj <<
+602 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 577.451 258.237 590.071]
+/Rect [115.479 577.459 258.109 590.001]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.5.4.3) >>
 >> endobj
-607 0 obj <<
+603 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 536.202 248.219 550.947]
+/Rect [71.004 536.215 248.09 550.889]
 /Subtype /Link
 /A << /S /GoTo /D (part.2) >>
 >> endobj
-608 0 obj <<
+604 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 510.515 150.15 523.135]
+/Rect [71.004 510.529 150.1 523.09]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.6) >>
 >> endobj
-609 0 obj <<
+605 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 498.394 185.825 508.689]
+/Rect [88.56 498.402 185.735 508.626]
 /Subtype /Link
 /A << /S /GoTo /D (section.6.1) >>
 >> endobj
-610 0 obj <<
+606 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 483.948 199.321 494.11]
+/Rect [88.56 483.957 199.196 494.18]
 /Subtype /Link
 /A << /S /GoTo /D (section.6.2) >>
 >> endobj
-611 0 obj <<
+607 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 467.178 189.141 479.664]
+/Rect [115.479 467.192 189.092 479.734]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.6.2.1) >>
 >> endobj
-612 0 obj <<
+608 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 455.057 179.291 465.218]
+/Rect [115.479 455.065 179.241 465.288]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.6.2.2) >>
 >> endobj
-613 0 obj <<
+609 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 440.611 220.683 450.773]
+/Rect [115.479 440.619 220.593 450.843]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.6.2.3) >>
 >> endobj
-614 0 obj <<
+610 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 423.84 362.03 436.46]
+/Rect [115.479 423.854 361.723 436.397]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.6.2.4) >>
 >> endobj
-615 0 obj <<
+611 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 397.688 241.135 410.308]
+/Rect [71.004 397.704 241.018 410.265]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.7) >>
 >> endobj
-616 0 obj <<
+612 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 385.567 167.13 395.729]
+/Rect [88.56 385.578 167.049 395.801]
 /Subtype /Link
 /A << /S /GoTo /D (section.7.1) >>
 >> endobj
-617 0 obj <<
+613 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 371.121 186.15 381.416]
+/Rect [88.56 371.132 186.058 381.355]
 /Subtype /Link
 /A << /S /GoTo /D (section.7.2) >>
 >> endobj
-618 0 obj <<
+614 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 354.351 168.916 366.837]
+/Rect [88.56 354.367 168.842 366.909]
 /Subtype /Link
 /A << /S /GoTo /D (section.7.3) >>
 >> endobj
-619 0 obj <<
+615 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 328.199 213.558 340.819]
+/Rect [71.004 328.217 213.486 340.778]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-620 0 obj <<
+616 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 313.753 295.788 326.373]
+/Rect [88.56 313.771 295.518 326.314]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.1) >>
 >> endobj
-621 0 obj <<
+617 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 301.632 310.004 311.927]
+/Rect [115.479 301.644 309.766 311.868]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.1.1) >>
 >> endobj
-622 0 obj <<
+618 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 284.862 463.825 297.481]
+/Rect [115.479 284.879 463.413 297.422]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.1.2) >>
 >> endobj
-623 0 obj <<
+619 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 270.416 400.005 283.035]
+/Rect [115.479 270.434 399.632 282.976]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.1.3) >>
 >> endobj
-624 0 obj <<
+620 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 255.97 279.43 268.457]
+/Rect [88.56 255.988 279.271 268.53]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.2) >>
 >> endobj
-625 0 obj <<
+621 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 241.524 262.074 254.144]
+/Rect [115.479 241.542 261.91 254.085]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.2.1) >>
 >> endobj
-626 0 obj <<
+622 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 227.078 350.684 239.698]
+/Rect [115.479 227.096 350.401 239.639]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.2.2) >>
 >> endobj
-627 0 obj <<
+623 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 212.633 306.782 225.252]
+/Rect [115.479 212.65 306.598 225.193]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.2.3) >>
 >> endobj
-628 0 obj <<
+624 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 198.187 327.008 210.806]
+/Rect [115.479 198.204 326.779 210.747]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.2.4) >>
 >> endobj
-629 0 obj <<
+625 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 172.035 311.972 184.654]
+/Rect [71.004 172.055 311.84 184.615]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.9) >>
 >> endobj
-630 0 obj <<
+626 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 157.589 330.129 170.208]
+/Rect [88.56 157.609 329.829 170.151]
 /Subtype /Link
 /A << /S /GoTo /D (section.9.1) >>
 >> endobj
-631 0 obj <<
+627 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 143.143 256.963 155.763]
+/Rect [88.56 143.163 256.796 155.706]
 /Subtype /Link
 /A << /S /GoTo /D (section.9.2) >>
 >> endobj
-632 0 obj <<
+628 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 128.697 303.366 141.317]
+/Rect [88.56 128.717 303.146 141.26]
 /Subtype /Link
 /A << /S /GoTo /D (section.9.3) >>
 >> endobj
-597 0 obj <<
-/D [595 0 R /XYZ 72 720 null]
+593 0 obj <<
+/D [591 0 R /XYZ 72 720 null]
 >> endobj
-594 0 obj <<
-/Font << /F26 548 0 R /F67 564 0 R >>
+590 0 obj <<
+/Font << /F29 544 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-635 0 obj <<
-/Length 2266      
+631 0 obj <<
+/Length 2114      
 /Filter /FlateDecode
 >>
 stream
-x��ZMs�6�ϯ�-RՊK �汜�S���V��
h��Qᇖ�f����n�%�C:���U��$������
�]���w�:aQ ��dq{���
-uF�d����b:l����+8N�۬��\�A(9�L�)�ڦ�t�CG���Y�`��DJ|@x2�q�$��Y���La,;�Y�E?i���h��x��:��7 S����
�!�o���I�lg�:ã
�K`��3���<�0P0����t	99��'7�S��)��y<I��o@�1KD�.+x5Yep��dLg2
�� ��
�'3��X
�|�
��<x��Q�z����w���S������m��S
pb�Io��1�f0��#1AH�
����D�X���H� �b
-��p;(��x�1�A����ţ�\�;Ѕl�nO6
�T
;��-��
��4�w�y`�S�#��8 at y[)�d~G�:��r�N�o�5t���EG�����$H��(�P\�ЭjF���u��ߑqJ;
-v�T��q�O-�H�u���x��Vb��B�1�>�� �Į�xd
�Pg�
Wq�<Պ[ࢁp��p�1
Y���*[��	���2�7�$�sq�(��1Vz4��0a�ʌYev�]��S�@�kR
-Ө��!�©5�Xl�I
�5�>j�\+(�-���4#
�Y�����ؖh���6���[�;Nk�����]9��
-�

�0z
D'usc
	�x�SN���s��L��6q��4�n��:-мO�"t���йo�@�%cg
4%��O��������Q�7�
�[
��pp�+�ѬH���
���fi=9�:�_��Y�Ü�g44�i{�V�m����Ҥ��O`~�~��c��؟�n6�{z�`�#ث��/�9[Ȝ��!�=�-l�Po5�]����C^�2��q���D7�8IU�kȢUfSj�\�8���6�&�;;rA���F�-Q?��X�~�-3���j'��D� ^�ֳ��F�� {(%���D at +��ׁ�'���pP�7�|�ҥ2�3�<��>�
L���L{��ܤwx��7�(����z�(�G c8�&Q �^�b
�N�o<@*�,%��<]�:��@�����j����Z{���Ƣѳ���&|������~ܕ�*��a���
�T.�_�jvW[8ᑎ4���J
%�N����%����$P�q����.(��
����t_��I����[i�Oe=�R�J0�f��[�kj�AqP�ݐ����#�e}_A�-xZ)�D��(yMޡ��9��>�nWKژ���2�,������2
i�ۍ
x�9W^B�����+�,
-�e����XT��I���#�HAG��<�?7�)tߌKĸ�I��5�Q�R�h���Vᤣ^̑ǎIT7.*��"�=a;ɮ��{�>sh
�� ��_�q$X��#	���>�
��~ښ������ N�/��:�n��pŪ���u�E�a�M��.�L�9�{
-D�HU�/���
��
-�����b���P�m�����H���{�4F���˯a�}qߞ�>��D֣[��{	���?���G�x
Ȩ+
�FC�ĸ��	�\���m)
�"ȷgsS;��g�
�|i�|�R�M�s�ဩ4j����þo�_�։�+�T%O��d&4$ű�
�>t��hg�`*E���S�%�Q�^�;X��
0=�.x�`TU��gz� �!6kc+&z-!��Ϸ�]Ql;t���ً�m�)��|���*f�.�Rz�[��S @B��cF��'���n�G��Taؘ��@�t�tX),�!��F&�踈û����a�"�4y)��F��K��V~������1�/Qa�p ��� VBV#A|_�L�q�}}0�k�B%G���p�p�v��#J�ockQ8� �@�2��>�m9ꋜ�j���6?e��K=�`RO����],�u�
-�ޥe{K���`~o�V
{�[>�ޗY[�*��>Ң�I�&+z��z� ���:{�Ӊ����wD�-
[�8��S
�1�UF���8�t����}q�u!���L�Ə� }�#��A�}��
&�.Qy�f�wVF���WmN�,�nk�=��t�G�l��%
k�:�_
-� C�
`
-n�!>Z��+�?/q��z�_vb��,y��?����-|�8�J�������l���H*ZS�b�g���Xʺ�ߟ�T}6p���*���c��vX�S�|3r���,ݸ���/�f��
�QA׮�
D�ðJu��
B� ���K��u^��(�����6�R�xs�x�?���{endstream
+x��[Ms�6��W�Vi�d�O�9���7���ЦG�
Mlɕ�&��X� E����J'E���{��v�<
?��!|@xʸ
�/9
�J3.��ÓQ²�_B(�#2,��|R��\
O������9�%4#9*�C����w!���%$T��݃��
&��M4��ى�p�k���LW0�"�������`z��B�A���k�7!�>���x
M4<���yA�&�q.[n²4�/�q�pƆǫ5^�v]���%aT����5�
G��OG3�t�+�S�L�9�Eµޛ/�"��$"O%���^�W����c
���Bա7p�vď?��
�y��<�ƾ������>R���1�o�Zc�@E9��vk~�d_���D
� )�A&�<�	g�-n�R��&
n<U��nG��s��x?�X
ކ�
wxR,�v��#�;�hҁ��E�D�c|�c���t���@��U1�C�[r]����7���|�
�MI�1u,(�2�:Y�Q,,�֑��UuQ �g���G�t����ұDp�����%7��L:bԁ��W6c�b2P!���1��4s"u��aC9��_���X�b�ga���K�lr�ELSp���OP���ԡ
���U9K3�p�CkT~�a�Iing-��R��IP�Z�_�5H�@�f�~I�E��ż�\��F.zz�n7�
ߚ���yS���W?7<�ݤ��VV�c
=�髪2�D!
��]r�0��Lw��zI��͇��x��F��U`�
+����I��j�nQ�F[����2�
wkǜ�K'�2$۟���|0>Y� ޮ���>s�S�C���~/�6��6^��d)[���V�O8�MF8�Xa���⟑%^&���HtHQRa���I�#��I1�(f��K;���b�Q����FU�o�'%��F���Ƹ5U�h�(��e�C�2p�%�d��u2ƥ��g+���ף$g�kL�ԦgK�EKX�<�LŢV�
ܤ$שR
J�_ꕏ̵��Y"H[)=��N��%(��Z�@���n�e�m�mhO
��F
��ګ�f/�yՍ>���T��,��L����2��>��9��gmqd/:=p4���%�a����u�h8�+��Z���z�F��A���R�0��<�/��Oga~;�X�Px�����b��$�
�XY5�$�V%a�x��
+��K�+K�E���������6+�+�a���NP�����M��q$�W�+X�^A��2We���@
bKiT��Bh�j��l�Y�+����f�����}��,L�e���aJ�f�w3Z�U���W\��"��Iq]�D\��we��1��w�9�=}l˯f��s��ކeYc
6'�[o���*�7ڜ����~�y
�
�t�&V;C�6
i�i��Z�8K��M��6�����5�A"t��;r$*��(Ms�:I�w"��.sЛ�����c��6�u� �΂>L�#���\?��=t���m�l�m�"ݎg�2S)�<�g-��S��
;�M�J Ej�LXJ��Z-�i�-5�<AV�|2�~�G��۞���{9\u�� �hD���f�9¤�l��÷j���#v�}0�e�Zl�zq��}��6���
�h��n` ����O����3�c�e�-@���
����W�O�,�B=���F���#E��
��/�
m6��N����`���[�D���O#�Y��Rl�vBۇ=5!2���j�2P�n�*n����Ew
����m��YV��7z��p�[n�*��%�E
κ
+6=M���K�5����8��9�zղi8��,6��d�6#TĬ�I{�^��<�ʊ�����G��>�M
ڇ�m2m��2���0�=/c����9�Y�}�}7�
�� �r�
+I
PyE�z[\a[O� vG���M�Q��r}�{@
/4ۖ�	���ŃO;���V�=d~��<7ב�����Ɠ=��D���Xo_P�X�(�Wq�^��l~G�Yz�;�n�
V�v�kvRD�:6��HUO��{w��c�N�<�1�0��G8���W���u��Q7�>�����ۼ}��i�EP���
�����e�
������_4�(.ι��(�ʌ��s�*m ~r<~��`�&endstream
 endobj
-634 0 obj <<
+630 0 obj <<
 /Type /Page
-/Contents 635 0 R
-/Resources 633 0 R
+/Contents 631 0 R
+/Resources 629 0 R
 /MediaBox [0 0 612 792]
-/Parent 558 0 R
-/Annots [ 637 0 R 638 0 R 639 0 R 643 0 R 644 0 R 645 0 R 646 0 R 647 0 R 648 0 R 649 0 R 650 0 R 651 0 R 652 0 R 653 0 R 654 0 R 655 0 R 656 0 R 657 0 R 658 0 R 659 0 R 660 0 R 661 0 R 662 0 R 663 0 R 664 0 R 665 0 R 669 0 R 673 0 R 674 0 R 675 0 R 676 0 R 677 0 R 678 0 R 679 0 R 680 0 R 681 0 R 682 0 R 683 0 R 684 0 R ]
+/Parent 554 0 R
+/Annots [ 633 0 R 634 0 R 635 0 R 639 0 R 640 0 R 641 0 R 642 0 R 643 0 R 644 0 R 645 0 R 646 0 R 647 0 R 648 0 R 649 0 R 650 0 R 651 0 R 652 0 R 653 0 R 654 0 R 655 0 R 656 0 R 657 0 R 658 0 R 659 0 R 660 0 R 664 0 R 668 0 R 669 0 R 670 0 R 671 0 R 672 0 R 673 0 R 674 0 R 675 0 R 676 0 R 677 0 R 678 0 R 679 0 R 680 0 R 681 0 R ]
 >> endobj
-637 0 obj <<
+633 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 707.049 235.57 719.004]
+/Rect [71.004 707.049 235.451 718.94]
 /Subtype /Link
 /A << /S /GoTo /D (part.3) >>
 >> endobj
-638 0 obj <<
+634 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 680.897 191.183 691.191]
+/Rect [71.004 680.899 191.118 691.14]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.10) >>
 >> endobj
-639 0 obj <<
+635 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 663.794 313.709 676.746]
+/Rect [88.56 663.799 313.403 676.676]
 /Subtype /Link
 /A << /S /GoTo /D (section.10.1) >>
 >> endobj
-643 0 obj <<
+639 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 649.681 337.404 662.3]
+/Rect [88.56 649.688 337.086 662.231]
 /Subtype /Link
 /A << /S /GoTo /D (section.10.2) >>
 >> endobj
+640 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [88.56 635.242 312.315 647.785]
+/Subtype /Link
+/A << /S /GoTo /D (section.10.4) >>
+>> endobj
+641 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [88.56 620.796 312.315 633.339]
+/Subtype /Link
+/A << /S /GoTo /D (section.10.4) >>
+>> endobj
+642 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [88.56 606.016 348.611 618.893]
+/Subtype /Link
+/A << /S /GoTo /D (section.10.5) >>
+>> endobj
+643 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [88.56 591.57 311.789 604.447]
+/Subtype /Link
+/A << /S /GoTo /D (section.10.6) >>
+>> endobj
 644 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 635.235 312.626 647.854]
+/Rect [88.56 577.124 257.274 590.001]
 /Subtype /Link
-/A << /S /GoTo /D (section.10.3) >>
+/A << /S /GoTo /D (section.10.7) >>
 >> endobj
 645 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 620.457 306.217 633.408]
+/Rect [71.004 551.309 249.148 563.87]
 /Subtype /Link
-/A << /S /GoTo /D (section.10.4) >>
+/A << /S /GoTo /D (chapter.11) >>
 >> endobj
 646 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 606.011 312.03 618.962]
+/Rect [88.56 539.182 276.414 549.406]
 /Subtype /Link
-/A << /S /GoTo /D (section.10.5) >>
+/A << /S /GoTo /D (section.11.1) >>
 >> endobj
 647 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 591.565 312.084 604.516]
+/Rect [88.56 522.417 360.351 534.96]
 /Subtype /Link
-/A << /S /GoTo /D (section.10.6) >>
+/A << /S /GoTo /D (section.11.2) >>
 >> endobj
 648 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 577.119 257.482 590.071]
+/Rect [88.56 507.971 487.552 520.514]
 /Subtype /Link
-/A << /S /GoTo /D (section.10.7) >>
+/A << /S /GoTo /D (section.11.3) >>
 >> endobj
 649 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 551.3 249.243 563.919]
+/Rect [88.56 493.191 358.45 506.068]
 /Subtype /Link
-/A << /S /GoTo /D (chapter.11) >>
+/A << /S /GoTo /D (section.11.4) >>
 >> endobj
 650 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 539.178 276.627 549.473]
+/Rect [88.56 478.745 367.786 491.622]
 /Subtype /Link
-/A << /S /GoTo /D (section.11.1) >>
+/A << /S /GoTo /D (section.11.5) >>
 >> endobj
 651 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 522.408 371.837 535.027]
+/Rect [88.56 464.299 279.223 477.177]
 /Subtype /Link
-/A << /S /GoTo /D (section.11.2) >>
+/A << /S /GoTo /D (section.11.6) >>
 >> endobj
 652 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [115.486 510.287 540.996 520.581]
+/Rect [88.56 449.853 390.035 462.731]
 /Subtype /Link
-/A << /S /GoTo /D (subsection.11.2.1) >>
+/A << /S /GoTo /D (section.11.7) >>
 >> endobj
 653 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 493.516 248.708 506.136]
+/Rect [71.004 424.038 223.684 436.599]
 /Subtype /Link
-/A << /S /GoTo /D (subsection.11.2.1) >>
+/A << /S /GoTo /D (chapter.12) >>
 >> endobj
 654 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 478.738 358.786 491.69]
+/Rect [88.56 411.912 347.415 422.135]
 /Subtype /Link
-/A << /S /GoTo /D (section.11.3) >>
+/A << /S /GoTo /D (section.12.1) >>
 >> endobj
 655 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 464.292 368.124 477.244]
+/Rect [88.56 394.812 540.996 407.689]
 /Subtype /Link
-/A << /S /GoTo /D (section.11.4) >>
+/A << /S /GoTo /D (section.12.2) >>
 >> endobj
 656 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 449.847 347.565 462.798]
+/Rect [71.004 383.02 142.864 393.244]
 /Subtype /Link
-/A << /S /GoTo /D (section.11.5) >>
+/A << /S /GoTo /D (section.12.2) >>
 >> endobj
 657 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 435.401 390.399 448.352]
+/Rect [88.56 365.92 540.996 378.798]
 /Subtype /Link
-/A << /S /GoTo /D (section.11.6) >>
+/A << /S /GoTo /D (section.12.3) >>
 >> endobj
 658 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 409.581 223.763 422.2]
+/Rect [71.004 354.128 142.864 364.352]
 /Subtype /Link
-/A << /S /GoTo /D (chapter.12) >>
+/A << /S /GoTo /D (section.12.3) >>
 >> endobj
 659 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 397.46 351.573 407.755]
+/Rect [88.56 337.028 417.639 349.906]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.1) >>
+/A << /S /GoTo /D (section.12.4) >>
 >> endobj
 660 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 380.357 540.996 393.309]
+/Rect [88.56 322.917 455.912 335.46]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.2) >>
+/A << /S /GoTo /D (section.12.5) >>
 >> endobj
-661 0 obj <<
+664 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 368.568 142.907 378.863]
+/Rect [88.56 308.472 540.996 321.014]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.2) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
-662 0 obj <<
+668 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 351.466 540.996 364.417]
+/Rect [71.004 296.345 163.479 306.569]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.3) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
-663 0 obj <<
+669 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 339.677 142.907 349.971]
+/Rect [88.56 279.245 441.31 292.123]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.3) >>
+/A << /S /GoTo /D (section.12.7) >>
 >> endobj
-664 0 obj <<
+670 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 322.574 418.048 335.525]
+/Rect [88.56 264.799 328.108 277.677]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.4) >>
+/A << /S /GoTo /D (section.12.8) >>
 >> endobj
-665 0 obj <<
+671 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 308.46 456.311 321.08]
+/Rect [88.56 250.688 331.658 263.231]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.5) >>
+/A << /S /GoTo /D (section.12.1) >>
 >> endobj
-669 0 obj <<
+672 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 294.014 540.996 306.634]
+/Rect [88.56 236.242 338.784 248.785]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.6) >>
+/A << /S /GoTo /D (section.12.2) >>
 >> endobj
 673 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 281.893 163.521 292.188]
+/Rect [88.56 221.462 491.677 234.339]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.6) >>
+/A << /S /GoTo /D (section.12.3) >>
 >> endobj
 674 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 264.791 441.774 277.742]
+/Rect [88.56 207.351 358.809 219.894]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.7) >>
+/A << /S /GoTo /D (section.12.4) >>
 >> endobj
 675 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 250.345 328.384 263.296]
+/Rect [88.56 192.905 385.107 205.519]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.8) >>
+/A << /S /GoTo /D (section.12.5) >>
 >> endobj
 676 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 236.231 331.944 248.85]
+/Rect [88.56 178.124 452.453 191.002]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.9) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
 677 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 221.785 339.102 234.405]
+/Rect [88.56 163.679 340.374 176.556]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.10) >>
+/A << /S /GoTo /D (section.12.7) >>
 >> endobj
 678 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 207.007 492.172 219.959]
+/Rect [88.56 149.233 465.256 162.11]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.11) >>
+/A << /S /GoTo /D (section.12.8) >>
 >> endobj
 679 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 192.894 359.129 205.513]
+/Rect [88.56 135.122 456.338 147.664]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.12) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
 680 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 178.448 385.454 191.067]
+/Rect [88.56 120.341 540.996 133.219]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.13) >>
+/A << /S /GoTo /D (section.12.10) >>
 >> endobj
 681 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 163.67 452.907 176.621]
+/Rect [71.004 106.23 254.584 118.773]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.14) >>
+/A << /S /GoTo /D (section.12.10) >>
 >> endobj
-682 0 obj <<
+632 0 obj <<
+/D [630 0 R /XYZ 72 720 null]
+>> endobj
+629 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F35 663 0 R /F32 667 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+684 0 obj <<
+/Length 1919      
+/Filter /FlateDecode
+>>
+stream
+x��Z[s�F~�Wx�R��B{���-�i
+-)�i郱eȐĩ%��ٛvu��V
�0<l�H{�w�s]=:{��)�����l=2a,��T$)�;���h��Z
����/�"��p�H$'�
q	�.�m���v��3����v-�V��j��$��M��lN	�>Z̰�Q�'/��$W�9�l�|g,�bWv�K��B?�}�5�U�1K�<�����
n�E���إ�z�9��?T	4�0��Q�&pAJ�N����_h
� �,���X
�ς��B��;��	������񆋫���Xޘng3a���n57b{����g��\hZ�y��@S
�:~	ً3�����݌�rοjL�5�ͫ<@� P��y-�
��Z�|�f��j�Wv�ᵃ}��-�G�E�L�Q.�Z]悤	��C��K��O3̧���.�k�j����
+����,*\�3�
6
����.�?;;bgX�&}�����g�󲲒�����;�8�?\��\������L�g��ӏS-5 Z���
L̺�k���e����=
���z)�oh`�T�����{ۯ
�K at N5v��j�}�4�B���Qܤ��̢��uY9�8��
w
O�a���h<�2�O��]ȻON#"�L�/���1��D}i|�DO���b fq��5�8�}x�T���
+W�u���t�l��h�|�WI�4-%��8A�t&4��q�m�#�3�(�^[Am���3^ I�X�Y��Y����p�W�հ��е���)��| �P���}���d=��,����z$Y�j2��{�N��֨=��(�kȅ��)�6%��ή���DZm����2��K�J�	� @��EY�P�2Y&Ih/��H�
�GIG��kZ��lR�uO����
��#���!��q2������G��nm�LMƈ����H�v����
U*�Zp��D
�N��UuI�"i�hMWL��F�y_$H�H$|���
��~�
k
+��hK?\
)c�M���(~�3��������TcS��م7�43�0~ ˑ���$��0�0�[��'L
�H�'����B���-�4a�?@
.x|�(���܁�Ed����w�
=Ə�l��
+�~��P�q<�� �8*u����ɀ��(丁use���>��X�����ҙ��"�o�3�t?��!�l�e�sZ�� ,8��'ޯ�$��>�oR�TE�!��*%T��#�V��>�`
ׯ�Z,�P-a.Y�2�v
��������}�n��V�����F������O:��K%��>�w"�$ϳ$�b/�q'��A]8�^��<c	I&���ٻ���i��uk��tm�[�p�|�8���Ku�N��_
+�J/p�1�+2Z
+�&c����@:��+
ߡ�'B��Ȟ|���
+˲-:u뽍�R4}��l�G�}䧗�%E�ԨT?\�kah��,�P�Bom��e�S_�S���bOGc�?H
��LRJ��չ��W
���-W���X�i��;�ӧ�
� 4�E�$�
��o'����׍�+O�����kT�'���=�����Qv���N ���������^9���һ����������e�9M=�d��2 I�
�/<�r<
+�]�����P
��E���.�ߤ������ݲ��M����m�Z�e�
vy��`�#�5�qNx8)��f���1�]�S�AP�†'�~i@
+2*W_h�:ܨH(id��.�(�P&���CA�)|��tQMao��gx���X
�PGA&I��L2� �dN�r�����5dq�鉲�*W��J�(�t
��yqW��֒�xe$�Og�L�
�HZ}uvcR��Jf�"䜿��EI�$�>H\�ybR�9g
6�h�I�:iOt��R�4��bk�*q6!���`�F�m}�X�����}�H�0�H�Lѡ؃'g�g��endstream
+endobj
+683 0 obj <<
+/Type /Page
+/Contents 684 0 R
+/Resources 682 0 R
+/MediaBox [0 0 612 792]
+/Parent 554 0 R
+/Annots [ 686 0 R 687 0 R 688 0 R 689 0 R 690 0 R 691 0 R 692 0 R 693 0 R 694 0 R 695 0 R 696 0 R 697 0 R 698 0 R 699 0 R 700 0 R 701 0 R 702 0 R 703 0 R 704 0 R 705 0 R 706 0 R 707 0 R 708 0 R 709 0 R 710 0 R 711 0 R 712 0 R 713 0 R 714 0 R 715 0 R 716 0 R 717 0 R 718 0 R 719 0 R 720 0 R 721 0 R ]
+>> endobj
+686 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 149.224 340.671 162.043]
+/Rect [88.56 704.395 413.06 717.272]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.15) >>
+/A << /S /GoTo /D (section.12.11) >>
 >> endobj
-683 0 obj <<
+687 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 134.778 465.727 147.73]
+/Rect [88.56 689.949 500.834 702.826]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.16) >>
+/A << /S /GoTo /D (section.12.12) >>
 >> endobj
-684 0 obj <<
+688 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 120.665 456.792 133.284]
+/Rect [88.56 675.503 511.738 688.38]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
->> endobj
-636 0 obj <<
-/D [634 0 R /XYZ 72 720 null]
->> endobj
-633 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F32 668 0 R /F29 672 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-687 0 obj <<
-/Length 2112      
-/Filter /FlateDecode
->>
-stream
-x��Z[��F}���ڗ�a�M��3vU��ě�NU�}`$F��@�����wih����I\y����O��|�֓W�
?�"
�X�W�6���/��������^(��v��W�~�,
-:���c�.�͡_��?Y�}{o��7
]߯K�b��bz���1E�͒|��Vz�Kh�dU���Ay��}��������:�^w���=__���RD^Z��b5���†^����&O+��>�������}�tS]��W�Є�=�[��*]�x�URwgV�~ ��A�%�?���|Xu�}��Hx"��E����.N�,�
����a�K�O5��H�V�#w���=Y���
�U� ��^ ��N�.�(h{��"��V�Eߧ�Q��j%����F-
?R� l"��@�67d/l
q�6�I�w/�	�66� hVY�0�-�|񔇵vMW�{;hn�~��bi<�2�UjDWl�dS���3|��0��Qkd 8�H��8�r�+�1�I����~;$�Ƙ+n���
-\\a'&
.8�l8�P�ܗ����
���I��>8��v�0
�(�{I9o1�*GtF��<)7^�E�@8}d��>[����vK�ЪG��ۆ {���!��T�ۆ)J�'LA9�Ȕ�&n���d�&f�&r�&�U�� �u��o;��"�
�p�u�Ԃ���9��E�v���yRV�EK���`@|{h�9h=����"�m뷳"M������Ɵ�g
-���
x�o�1��yA�
-B�;\�:+�m_���z�Ԅ�x��I�k|D�k����������D��і�S

�/Su
�L0
�Dˌri�[��w3H&%��t
/��d2����E�nЃ�]Q�^��1���9>��)�B�W�F�
��|�!�|2�12E��C0�H�pgE=��HO�.e��l?4�;�2
`�M�H��m
!6Z�ؕ�Q�/*�)���x2��&F at ck��9���O�
����e�ѕ�
��N/���skҁ����ϱP&\4J89���X�'�ȷ}��\��j�g�NM�RS
����xr��B�GT�A�T���`0��_�-�c�q��$G�=��s=vJ�!-0�)�{O�w

-'�-��j����/v Q�6�FGU2A�ù����*f��� M
kvfg�
��(d�xVsj��K��n��UZTmh�xֹ6j��C��X�ёo�
L� l��HN5M���ل���J�<�����'VX������x�|
�5�hz�
�-CLy>1���f78�S4�:�)��8��\�^N�6��F��
q
?3QgA���@
]C-,	�VXdE�j@�veUW�%϶�}��Q�t_�#��W�@�%ꊤ�9�es�	���@
Ft"�㹤C���\��Yx7d��G�����
����-i��i��s��]U�T����
�)
���G�l��Wm�
�n�Mk�<iC]
?�}�C�z*�F���d�㣵/�0=|�8��fņ19�
D���,wu��~gT�
-��;g��#B(t:jD�� �r����d8v{�V:���g�
-i��>�P�kV�AYp�֝
�J,��L��(�+�N5�堿=C�S���I��MC�P���#6�/���U*I��?��!'Z`֛��a|�0��S�-�睲
�Ζj�y��[��8�tz�BA�+�O�,�`~�`Ϩ�a�Ǥ,%�pݕx�LL�(�J��)G
�fw�@O��^Aq�ڏ�g��(�
-�iz�Cʂ���9*7D/o���.qv�t.r�uk�%ʸ��h
;��l?"g��݁B�5AYO���b�j���j��>~YKR0L��*��l�/V��f�}ϸ�d6ԟҘ����A�8
1rWv����?��j��B-}3���Wڜ�eQ�3
$A�����
��9��ݦ�
�%&lF��W�͉�
-R3CA�~�A����*Z�7o`���%�t���K$�5:�USρd:�x;�@<�"�KXn{���p�Hۀ<��0
�X����=���� !5�C�rhqE�����K�ї�60ۣ�e�NmJ�̙��="Cr�rp���b]B�>��O��-dt�m=������_"V$V"���_c�
�)ӣ��
��M�endstream
-endobj
-686 0 obj <<
-/Type /Page
-/Contents 687 0 R
-/Resources 685 0 R
-/MediaBox [0 0 612 792]
-/Parent 558 0 R
-/Annots [ 689 0 R 690 0 R 691 0 R 692 0 R 693 0 R 694 0 R 695 0 R 696 0 R 697 0 R 698 0 R 699 0 R 700 0 R 701 0 R 702 0 R 703 0 R 704 0 R 705 0 R 706 0 R 707 0 R 708 0 R 709 0 R 710 0 R 711 0 R 712 0 R 713 0 R 714 0 R 715 0 R 716 0 R 717 0 R 718 0 R 719 0 R 720 0 R 721 0 R 722 0 R 723 0 R 724 0 R 725 0 R ]
+/A << /S /GoTo /D (section.12.13) >>
 >> endobj
 689 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 704.392 540.996 717.343]
+/Rect [88.56 661.392 540.996 673.935]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.18) >>
+/A << /S /GoTo /D (section.12.14) >>
 >> endobj
 690 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 690.278 254.76 702.897]
+/Rect [71.004 646.946 223.238 659.489]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.18) >>
+/A << /S /GoTo /D (section.12.14) >>
 >> endobj
 691 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 675.5 413.478 688.452]
+/Rect [88.56 632.165 540.996 645.043]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.19) >>
+/A << /S /GoTo /D (section.12.15) >>
 >> endobj
 692 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 661.054 512.252 674.006]
+/Rect [71.004 618.054 223.238 630.597]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.20) >>
+/A << /S /GoTo /D (section.12.15) >>
 >> endobj
 693 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 646.941 540.996 659.56]
+/Rect [88.56 603.609 448.149 616.151]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.21) >>
+/A << /S /GoTo /D (section.12.16) >>
 >> endobj
 694 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 632.495 223.379 645.114]
+/Rect [88.56 588.828 381.2 601.706]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.21) >>
+/A << /S /GoTo /D (section.12.17) >>
 >> endobj
 695 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 617.717 540.996 630.668]
+/Rect [88.56 574.382 540.996 587.26]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.22) >>
+/A << /S /GoTo /D (section.12.18) >>
 >> endobj
 696 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 603.603 223.379 616.222]
+/Rect [71.004 562.59 142.864 572.814]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.22) >>
+/A << /S /GoTo /D (section.12.18) >>
 >> endobj
 697 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 589.157 448.588 601.777]
+/Rect [88.56 545.49 540.996 558.368]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.23) >>
+/A << /S /GoTo /D (section.12.19) >>
 >> endobj
 698 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 574.379 381.547 587.331]
+/Rect [71.004 533.699 142.864 543.922]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.24) >>
+/A << /S /GoTo /D (section.12.19) >>
 >> endobj
 699 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 559.934 540.996 572.885]
+/Rect [88.56 516.599 390.92 529.476]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.25) >>
+/A << /S /GoTo /D (section.12.20) >>
 >> endobj
 700 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 548.144 142.907 558.439]
+/Rect [88.56 502.153 461.849 515.031]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.25) >>
+/A << /S /GoTo /D (section.12.21) >>
 >> endobj
 701 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 531.042 540.996 543.993]
+/Rect [88.56 487.707 351.121 500.585]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.26) >>
+/A << /S /GoTo /D (section.12.22) >>
 >> endobj
 702 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 519.253 142.907 529.548]
+/Rect [88.56 473.261 451.389 486.139]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.26) >>
+/A << /S /GoTo /D (section.12.23) >>
 >> endobj
 703 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 502.15 391.279 515.102]
+/Rect [88.56 458.815 339.31 471.693]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.27) >>
+/A << /S /GoTo /D (section.12.24) >>
 >> endobj
 704 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 487.704 462.284 500.656]
+/Rect [88.56 444.37 522.855 457.247]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.28) >>
+/A << /S /GoTo /D (section.12.25) >>
 >> endobj
 705 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 473.259 351.414 486.077]
+/Rect [88.56 430.259 455.262 442.801]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.29) >>
+/A << /S /GoTo /D (section.12.26) >>
 >> endobj
 706 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 458.813 451.84 471.764]
+/Rect [88.56 415.478 516.556 428.356]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.30) >>
+/A << /S /GoTo /D (section.12.27) >>
 >> endobj
 707 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 444.367 339.604 457.318]
+/Rect [88.56 401.367 443.331 413.91]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.31) >>
+/A << /S /GoTo /D (section.12.28) >>
 >> endobj
 708 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 429.921 522.852 442.873]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.32) >>
->> endobj
-709 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 415.807 455.703 428.427]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.33) >>
->> endobj
-710 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 401.029 517.067 413.981]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.34) >>
->> endobj
-711 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 386.916 443.78 399.535]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.35) >>
->> endobj
-712 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 360.764 367.146 373.383]
+/Rect [71.004 375.217 366.941 387.778]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.13) >>
 >> endobj
-713 0 obj <<
+709 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 346.318 466.463 358.937]
+/Rect [88.56 360.771 465.985 373.314]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.1) >>
 >> endobj
-714 0 obj <<
+710 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 331.872 339.006 344.492]
+/Rect [88.56 346.326 338.664 358.868]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.2) >>
 >> endobj
-715 0 obj <<
+711 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 317.094 503.412 330.046]
+/Rect [88.56 331.545 499.89 344.422]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.3) >>
 >> endobj
-716 0 obj <<
+712 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 302.649 450.514 315.6]
+/Rect [88.56 317.099 450.037 329.977]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.4) >>
 >> endobj
-717 0 obj <<
+713 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 288.203 300.172 301.154]
+/Rect [88.56 302.653 299.906 315.531]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.5) >>
 >> endobj
-718 0 obj <<
+714 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 273.757 372.303 286.708]
+/Rect [88.56 288.207 371.959 301.085]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.6) >>
 >> endobj
-719 0 obj <<
+715 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 259.311 434.215 272.262]
+/Rect [88.56 273.762 433.767 286.639]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.7) >>
 >> endobj
-720 0 obj <<
+716 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 245.197 370.743 257.817]
+/Rect [88.56 259.651 370.369 272.193]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.8) >>
 >> endobj
-721 0 obj <<
+717 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 230.419 372.981 243.371]
+/Rect [88.56 244.87 372.64 257.747]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.9) >>
 >> endobj
-722 0 obj <<
+718 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 189.502 188.586 204.247]
+/Rect [71.004 203.961 188.525 218.635]
 /Subtype /Link
 /A << /S /GoTo /D (part.4) >>
 >> endobj
-723 0 obj <<
+719 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 163.815 255.633 176.435]
+/Rect [71.004 178.275 255.52 190.836]
 /Subtype /Link
 /A << /S /GoTo /D (appendix.A) >>
 >> endobj
-724 0 obj <<
+720 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 149.37 214.01 161.989]
+/Rect [88.56 163.829 213.889 176.372]
 /Subtype /Link
 /A << /S /GoTo /D (section.A.1) >>
 >> endobj
-725 0 obj <<
+721 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 134.924 232.488 147.543]
+/Rect [88.56 149.383 232.312 161.926]
 /Subtype /Link
 /A << /S /GoTo /D (section.A.2) >>
 >> endobj
-688 0 obj <<
-/D [686 0 R /XYZ 72 720 null]
->> endobj
 685 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+/D [683 0 R /XYZ 72 720 null]
+>> endobj
+682 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-728 0 obj <<
-/Length 215       
+724 0 obj <<
+/Length 232       
 /Filter /FlateDecode
 >>
 stream
-x�Ր��1F�}�t&Eb&��16�����,��`���}|���
-��po&�o��?eQ .�z�$(��c�vk=6�9��q�н��(Q��md,y߁^!
��m�� )�F,�M=�O�Հ8��,D#?�
+I>ʂ�eCc#�^����~�^�s�^�+q)�&��Ĥ�s�?�
$��Q�KD�AĽ)f�_��;�R', :R��8 �Q��I]= �z�xendstream
+x��Q�JD1��W�sR$;3�I66‚[Xl!�B0�
��
+��;��bU�J��$�8���j
k"qD�����v�ż�X��s���'x1��>�"�1�
�8�A�!��q#2#
+$s�P��x�Xs=ڀJT�.�D���E4.�P�Ҧ��ygشé�\�'
�
�=�p�w����m.x��4�P!Zy���L�s�U)�I����,��ῢb���*2��L.d,�4MbN��|
� �%�endstream
 endobj
-727 0 obj <<
+723 0 obj <<
 /Type /Page
-/Contents 728 0 R
-/Resources 726 0 R
+/Contents 724 0 R
+/Resources 722 0 R
 /MediaBox [0 0 612 792]
-/Parent 558 0 R
-/Annots [ 730 0 R 731 0 R 732 0 R ]
+/Parent 554 0 R
+/Annots [ 726 0 R 727 0 R 728 0 R ]
 >> endobj
-730 0 obj <<
+726 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 707.049 257.897 717.343]
+/Rect [71.004 707.049 257.78 717.29]
 /Subtype /Link
 /A << /S /GoTo /D (appendix.B) >>
 >> endobj
-731 0 obj <<
+727 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 690.278 288.534 702.897]
+/Rect [88.56 690.284 288.345 702.826]
 /Subtype /Link
 /A << /S /GoTo /D (section.B.1) >>
 >> endobj
-732 0 obj <<
+728 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [88.563 678.157 188.422 688.452]
+/Rect [88.56 678.157 188.341 688.38]
 /Subtype /Link
 /A << /S /GoTo /D (section.B.2) >>
 >> endobj
-729 0 obj <<
-/D [727 0 R /XYZ 72 720 null]
+725 0 obj <<
+/D [723 0 R /XYZ 72 720 null]
 >> endobj
-726 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+722 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-735 0 obj <<
-/Length 1837      
+731 0 obj <<
+/Length 1878      
 /Filter /FlateDecode
 >>
 stream
-xڅWYs�6~ϯ�L_��!�S͓b7��Ե�t��4	I�yx at 2���%˦�	�].����W/^�Iң �t]��R}����G�+�P�bjuӴ�wW�ef�@�Xզ����a����z��N���[Ĥ�?����+��‡:��7S�
.Cu���<��ߦ�r7өj���m�
-}��t��#�0��R6�`uDj��^Wr؝�-�7���m:[��h6�-�֨ˁp[3��<�w
�q
�y�0�D^%�⯃���$Q
j̔)l^1����
�	��ڴBny�!��������q��o�Wk���ÇQ��m6�,&��Q��2dϤ�҉*�*w�@J!T���f�9��xjAQ�����T��V��u�xѓ����uB��
���z[tLBBS�6�*4�D�U�%f
� h.�3�5��99�V�
��8^���.�2���u�o�
\��̺�*
-�
�3�(ȹ�)(p��,�U�1��,I�
-	��
ZX[�sA��53v&� S��0�&؊���x��鷎jt�Ő�(���@�� M� MS/�SH1~|���j�:�l�D���mUY*L�|��?V_0!�AC;���H�v����"}�^�V��Մ}:L�4	FO@�~n�~o&L�C�_$�.�ҙ;>��e
.b/�����j�
bz����L�Թ����4S�`�"C���
�~�4VӖ�$~l9
u5��d���ָ���7��ctA�T��������#N�t��t��3�_�OX
-uz�B�m�Ll�\z
P�RAP�&p��q�!��5�4���"�ev݇�
-\�XS���=V����$�k��dJ���k�?,<�w/�ZZ^=
L����”�#cڒ;������'52��ؖI�t
Cj�X];�X'��>-BhP�fc���'x�
~/�h��k�I-
���ς
.��[$�A�.��2�6Q?�3p!d�
�/Єj�kC���P�,W�|@6��Gn��H
����H��Db�/ ig�}���|
Ô:���@����6��,�&�[��[[s�EA�e��ʾ�lel���8
�$�h��?T
S��.����[B[�=:��~��6- F���USZ�Y���$^5�d��4����,l�޶\b��^X�K�򌦛�Ezἡ��`l��EҲ��mi!�`n���}e
��c��7PP�������39���Q�q�m���
�h
8��
u欔��&Mm3�Φu�>�F�cx񋯖���8
��K}D?�uH�MP
\t�^�e\=�$J����R��DN)Mm�e��^���hr<
�A���4w�؆��D�ݾ�� ��n����8�Ƶ��/���F6���������r
�ٵ�j��
-bkc���� �5Ui�l�`��3r,�w[I;c���ͣ;t�Hh�
=�ht�a���q��ͣ[��4?%iճ�0>��Q����픹�bd�B�c(��(� ������Lڍ�$1��4��;D{�@��Pp
C�/�!�����~���l�U 2i��7������?Fa
o��!�$�
�UaMSWA;4�h.ˠ
�_Vs?r��i,��CE,��~��p�zGIx�����Y�����ϑ�b7T���
�O}�@��cu�D���R�z�G"����oM^�[�S�^�go���#����i�ـ��]��@�t,LI�X-b§�

-�|�
��]�B9<��G�B
-z
-7
��|���%�U��=��F����qy)s
�
0�ls�M�����$I�'I�V�������@�`_�츺X�@�}����J޿���Xa91�
�*����t���ǏZ
�^
�������� ��/W/�P�o.endstream
+xڕXKs�6��Wx�j�b��9)N�$���q�I�
d��U��!�8��.vA.R�%X,���ϯ�<}�T|��P+{tus��4��(�����d���Ȩ�
�����FKx��-��p�F�-����Wo�����Ran
��h��P'�cxu�Fc
����,�ʼn$x�a	�f4�&���mi�q�S�T��Ϟ���ţ
���t|�>���� �|�MU�'_{m��q1"M���a?�w<�m��ҝ���t��z�)�ۊ8�x���Ns�?
igE�)�x*�8q���&�$*R��-���Ө����;ϸ�[�.�޶�����f����&�Ŕ����
�k���ɫs�_��q���7��қ�cKk+�
��
�O��c �Ƞl<aܱ��
#���k�i�hci:‰G��B�
q��YE�
sb�2�	1��e�8c1�T�6�p��P�
�puQ��b��ڼ��Ϻؒ��N��!���74&��/��;�Qx7�N
���S
���#k�*U�!�L�ɽ1T̉}�MP�H�v������9˴��0q<`EH)���́��p��_	
+�N�iht
Q��΁
+���{�����F���*�?�>�W�v���Q�(/Z�����!��K�hMs/`ȼ.yէO�
~�
�M��
+������@L�+lMe�N�
.�
I�Ϲ��6L��s���&V-������^?��w�����>�H�'�Ůy�_kt
T
+DWg8����dV~������ݠZ=�œwh��9�dh�����T�
����0���q�%m|JO�FA�~v�?3c�C`fl�)%���a03����0�!�
���A0C��p�>Q�Z�o��
~'�����AX]XV�E
���_��5��՟�X����� Tm�P��N �C=� ����f�4Y{�.�+�rsR�h[AڱD/Ӭ�x9�Y
v�k�
+�
�A%tj�JD��<7I����%�v�C�wQJ�&��g��p��Htp�
+���	�
f#�
μ,���gWQ
Z˜4L�0�pT�α��q7�:��M&N�;޾�
�Uf�jY�K���
�g�Q�0Qa���o
{.ӡ1�W�lO<7�e��<�t�nZO�:�B֢/j7s�L��j�����Qӛ5w
.t)b_�B��|[������w$~�
�
DyMpZΉb���N
c+����b��UҾ�!
R�(�a[��5Q�n؈
��:��5��I���N�,�0a�iY��},�]m�6�FC,��3�p6����;R�c�P?zf�;0��͕/0^�kQ;�9Q�����f��&29
Λʱk��Q�@a �\�^H ̓��{a�4I��	32�F\w9<���y;+�!����J�ח1�c	��桵[ݒ(�)\)�n7Nn�A ٵ*>߼}	�\
~d���
��۾�2��U���-�
v���}5��L���
�31���e�4]������m�nx]p���(��
y|m��Dx������D���b(4����o�2��2U˲��}��m����F��
MMP�S)<	<
��.�J�.�r�wP�`
T���a��lWf����N��P7��z �������X���@pUQ���� 1to���Վ<$q����G3���-;F-Ж�`���&�d�
+:��K�m:m\���ƒ�g����1d�������wN8��q�[�x�C
��B�/|̡�ǭ�rr	TD�F�>��/ETϊ��
H���.����V�7'Q}
�
b �.���
U���h��E����9}h
+��n�+2Y���5���FM�s�@�a\�����%�7��.�"g7�Wz��\� �2�U������>��'/���+�{�endstream
 endobj
-734 0 obj <<
+730 0 obj <<
 /Type /Page
-/Contents 735 0 R
-/Resources 733 0 R
+/Contents 731 0 R
+/Resources 729 0 R
 /MediaBox [0 0 612 792]
-/Parent 739 0 R
-/Annots [ 738 0 R ]
+/Parent 735 0 R
+/Annots [ 734 0 R ]
 >> endobj
-738 0 obj <<
+734 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [224.259 663.993 289.81 676.613]
+/Rect [224.322 664.014 289.897 676.557]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.r-project.org/contributors.html)>>
 >> endobj
-736 0 obj <<
-/D [734 0 R /XYZ 72 720 null]
->> endobj
-737 0 obj <<
-/D [734 0 R /XYZ 72 692.858 null]
+732 0 obj <<
+/D [730 0 R /XYZ 72 720 null]
 >> endobj
 733 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+/D [730 0 R /XYZ 72 692.882 null]
+>> endobj
+729 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-742 0 obj <<
-/Length 2698      
+738 0 obj <<
+/Length 2674      
 /Filter /FlateDecode
 >>
 stream
-xڅYI�۸���P���Ő��f;��'�iw�+
ρMB��h�m����m��i�r�>��}��?���Y�It���q�ɓM���z���|8V�88Mf��T����ǟ7�f�˰����oU
L��� +���������:$��$N�؟�a���?a]
[�$
��ՄG��ia�
�W�
6�����t�l�a�z�I&EJt?d�
-�R�<,IH�סR��
bq��I�U�mw�P�
~���~�y�MT���
�
/=�8v@�T
�*;5n�m�'b�j4�p�h��l�M� �B����i4nn'�v���q4�N�`�|��u�5+�����Rd_�+\ep�mR��?��H<

�<yh�����,	������i]�ݕI|�x��(*������V��V ݇Z%`Z��
C�4JV|��6_���u�l�4�W�p
c�p���
4šɈ��Rx��2���j
<�h��fgx�3�
]������_�X����Z��D���a|����x"�-���A���
�
j]����(�
`|c
��B4g<m�sq�j��z%�q`p�*;���m{�JY��7��6�`/���3t��tF+���zC���Kl\��ґ��u`�~�A���ڇ�d�����D�
-I'EHz@������sd�^LI
GI��ɕ�.�g�����߉r�ĝ�"xeL[챟3�I&8oe/	�4��S6V�V��D�a�
!1
�8M�+�����K����rcv�T_�9�1���
��_�$��ߏ��#���s�
-��eo����n�+��YFE*h9s��9�P,�V��@
��
���
��g�Q��fk���&*��q͉G�d<�up�=�$T����2��1Ϧ,�*t:���
�ÒP�(��k�x�-# 7 WWa�%`:�d��Kl��
�<�,)��B@��s�vX�޼`��>���E0��O G7���6P�n�����a�S'��@����`��0PrnMs:
T��fC~���"+�
&n at 5@
'�@�L�$xO<��[�l�*��Gm�دX����z[��y��(7*J��,R�SEz}٦iPaLw��0��Jl�V�W;�i���� ����;��Ǣ��Y
;N=w�9+dJ,%�)�5َ3(���
��bJc�T����`�����8��cdwC<�:���&�i���A~���x���d����YħW�
ݷV��s���i{:E��p��,�c�FY���{>�B�魠��u
��v��Tt,)�x�u�
O�=tӈT��@y� _��7s��SE�ZT?��$�3����-(8�$P�jD�ͷ��
�`�4�
v:�.!S�	�(�U���UB� ��b���^� ��4(�L�|��zp�Sqzlt�
y��Ǝ�� =3́�
ywu#iV=��c��XjpFF˱�,J�:

6�KcBcv���+�7Thh]Xq́
�;l��_ K�q�/!���u�>Wރ�n�ƺʺ�
'���"� �\0
'Fay/�( f���J��} ���o��ߞ��|�@�|����f^���!�A�SpMeJbR�-�K	�_�N�wfCQeWI���A9[E
PF\�_�M�rޣBeޠ&)�VS9K*Y�n���
69�!
 �vn��z{��S��τ���.:Wh�P���w��xCh�!���yτ�t��b�����/��:-���?��=/�q�~�A� ��� 3�	5�(SQ�b��1<��r�ȽWb�
2
-SC��v�v�r�|�3��4����@s���,Z�a^}+�IR�NU�E���Kp�� q+�|8,‰'����7h�JR
<��K��=�i��,�y�;�E��V	����B�H��
����șc孚@���p��O����
�PID�����'�Ob�62���*O�~��.˥���\
-���Kj���?g4�ʝ�� c
(^�[1�V�\_�$�`yJy0�3~K㴇�I�ׯ>[qJn�|<�-��Bꘒ�; ^-}7r�vl\C��_j⥒�ߐnu�Ց��G��B/�8���-*��Jt'���-uOl��Q8
Q�
-=�
೛�0
P������{� o�:�0k[OTo��W���/{+�/��Lt��p;$:�K�ED�n$O@�O�
�}�X �6p�h݋�[{:UKq{�Y��r��#C�@�n�
/�GG�T�BnFJC#�%�\�`T�խ``.��e��� mWaN��t �\�{�#�^Ѩ�l�B‘�{�{
�!5B�ÒX$����? ��O�w1�mb|��u
FY������~�-�4w���(Te�y�v�e����"�V.�����/
�]N:
���L�o���5>^i�3��U�I�~A.6eX��p�:��T��>Z8RT��*zz$����t	��
G��-4��B~z$��wm�5�
�r ��sL�kz]%;^��c�X	�� vㅌ0˅��I�
�ϫ� >��_��J�W� _BI+�����V��'Fp�Էk|��yN
jA��
��e�J���?��a��q�Ԑ���Pu���u
�þ,��r7�ė�GK�NR"
B�b}�
�"�������1GW*�nJ5��{���_��Gz8�1���g�iR�Px8��?�#Ho	����҂,U �H��+�{F{�����
:�3��
}x�I7Qq���	�;}�C�#V�dendstream
+xڕYKs���W�r�T5b�$��f6��lN�qj*��Y�l���5��zj|�	�,;[$�h4�_?����o�4��ت�\�'�N���&W�_�?���v���{�͝��f���O�r2�B�G�a~7sf��{ ,���%���ߞ�aoh|aM����	�� Yf67�V�ϴ����_P��0��1�ޭX�K��Ǟ��abLj��6��m�$l��}H���ד�p����ڢ����W��,>����g�7?��8�1�=�J&n��lqړ*oe��
�)�^���D��T
+3]1�����hڶS����t��n.�h�G�7��
e_�T��

���_��eh'sSUՐڶB�(����eT�
�}��I��
��u�BE
+R�������
S��!���/f�����ˡ��U�߳xve��*B�G�џ�"xjB�_����7<(��O{9^��AEo9T9�I
���zZ at V����l�ƅ�
פ��ب�Z�
c�"��-�d����	V<�
�Iu��L��\��=m�On��g!^T
sc�uQ� �%�]�l�a�ebh����ϳV��h�
ɼ�+���	;�#�d?8��v�X��%��o�N� [����M�n�9���PO׬|r���½�0��A
vz�"�W��
:�b�]�$<H6�իv�;���
�Yn��!���Ɗ�Im
E�c?q`����>��bT
�J���J�
P�n 9�
̒A��;
+�_]�W�3�%����
�į$v���$����s>UΧɜ
�O�Tn(��-U"�\?���\���<�9��Gy��K�?����]�W�%���QC�ax�����0��Ɲ
+��K��{�"�'�E=U�̈�./�W���
�uѫ$���m<�m��7,F�2�{$��#���!/5�KT�R<$A�����x�b/�B�kN�"�F�-iԵe��?;Ҧ�HkcLQE�@C?���\�_��-�$#
��ۨ 7þ�:�ʋ�伉��s�B)�O �A=gE�0���C
u��|-��}���E��I���*�*�D�j�?�$�b�����\�|����lЅZ�묮�+�
�p>n4
+w��K��{R|���)�ڈ8;|�U�!�?�*�(+�����Qs�l�q0�L���V�
9v�:�%��*�!�(ZШ%|����m�w��ԣ�|8)K�U���C�6�x
+����4�ƫ\��UD

����o~e�����p��/"�w�r�b+"XF�D��MK�+_ɥ���
�&�/�m��
�}��m�9%�W�:����X]�.�w}���c�ݧᑇ4�q
+�t3��Q�	Z/y�b����Q�����	5��g�^����<�+�@��%�C�
��U���M��5��,U�BM��zuy��>���0��Hf��|�Go���\�_�Ex4VX����mFM�Xs�ƼTs�:

}佮)O"&�i�D�d��֧�
^ò�v9�����H}�r����H�]�}
bc
nd>Kjm�GSI��C�~;T
'�����y��1����j�#�R�׉6(����1/V�h�%��о�
��;�f�
w8��{*<,��W�WeN;�_~=��`��!��r�W�M��v�-��P
'�9�>��
�u��oD׫x��g�ΠL�3��cRȸq�"��s�+?������D�g��Ϫ���lC��R���Q�8��Jy��8���S�d8Qm��`�D�ޔ����:�K䂽���Ћ��2���!V��^)4�2�V�
�M
=��M�Hi�o��
�c�~��e�2m�se�Ti%S�����k��7v��a�XS��
�Y(ԯ��Fu}��#Y>+�
b�p=��	3
�e��};dq�p-GK{���tr>��<��v��9m������aj͏/�@��އu����1��z��~O��8��.>
��J��Q�C��/� �)
+T�S�s[(RB�b��t
̈́����DEN��
Y:�/�@b��v�

Js�箼�q['�h,��w"�U������,��+y܉6��ȡ�A�VV�W&x��S�C2x���8�&G���;�&��fa�!f��ټmrײյpߌv{�
��>��>	��M3
�̸�|��cs��z@�Z��;勝jJɒ�\

+xw�}���"�� iY,��I���k [ ;�J1I�Ru��	�#6��;2�)cS<8m�2��D�>�4��Q�H�8�5��7
��\����e�RxV5�
��
tc͠`��
VHtu^�xua@�����tS��l�d��������ꢜ�tQ.��'x.
�d{aZO^�7�.~�|枾oDN�ý�4E�}������B�O�Z��P��!��i&sW4�>4����HE��
&����'M/��������3\�^?�bֈ�=�SvˆӀ�DZ�
 	[Ⱥ'�e��B���2854�ȇ:�`ı	�p�Kc�����ܐ6`���_�N����Y�s� dl���ֱc@�adz�5�.�OT;�f�������'�XzH��[ɝ �_'��$5��o�|�hk��p�x�mr;���$���ދ�"�v ��&�
*��E۱��}/_E�N�ע����\ɑI���!�I	oF�I����I:ʊ�b�)�
��+�X|����c� ^"6�$�~G�x�3E���ZXcH3^��z�Nkendstream
 endobj
-741 0 obj <<
+737 0 obj <<
 /Type /Page
-/Contents 742 0 R
-/Resources 740 0 R
+/Contents 738 0 R
+/Resources 736 0 R
 /MediaBox [0 0 612 792]
-/Parent 739 0 R
-/Annots [ 744 0 R 748 0 R 749 0 R 750 0 R ]
+/Parent 735 0 R
+/Annots [ 740 0 R 744 0 R 745 0 R 746 0 R ]
 >> endobj
-744 0 obj <<
+740 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [95.716 487.157 102.441 500.948]
+/Rect [95.679 487.177 102.402 500.896]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.1) >>
 >> endobj
-748 0 obj <<
+744 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [319.973 414.927 330.581 427.547]
+/Rect [320.051 414.948 330.651 427.491]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.r-project.com)>>
 >> endobj
-749 0 obj <<
+745 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [439.666 241.577 476.777 254.197]
+/Rect [439.706 241.598 476.762 254.141]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/stats.shtml#clarify)>>
 >> endobj
-750 0 obj <<
+746 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [254.403 226.467 438.631 240.415]
+/Rect [254.435 226.483 438.653 240.317]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/making-abs.shtml)>>
 >> endobj
-743 0 obj <<
-/D [741 0 R /XYZ 72 720 null]
+739 0 obj <<
+/D [737 0 R /XYZ 72 720 null]
 >> endobj
 6 0 obj <<
-/D [741 0 R /XYZ 72 720 null]
+/D [737 0 R /XYZ 72 720 null]
 >> endobj
 10 0 obj <<
-/D [741 0 R /XYZ 72 538.68 null]
+/D [737 0 R /XYZ 72 538.68 null]
 >> endobj
-754 0 obj <<
-/D [741 0 R /XYZ 89.933 148.061 null]
+750 0 obj <<
+/D [737 0 R /XYZ 89.933 148.077 null]
 >> endobj
-740 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F48 554 0 R /F76 747 0 R /F7 753 0 R /F8 551 0 R >>
+736 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F69 550 0 R /F142 743 0 R /F7 749 0 R /F8 547 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-757 0 obj <<
-/Length 3324      
-/Filter /FlateDecode
->>
-stream
-xڅZY��F~�_!`B�̛R
H�u����`�9
(�%�e6����oU}�$5#o^F�����uWs�����M�n�`L�͇�&
7���1��_=k�6�nw�W?mw�yU�
3o4�ax�X���-��^G��Xu-�ϼ��,��;������8�}?�Q�
F��`������(u
v�i"�-�����kJ��
�Üﶿ�i�ovA���T�k���� �ގ�`zym;@�ӵ�>!L���C<Lu
<��T�Y��<2�2�����1�P��伡`.�"
-�4��*���~���F��	kg2v4��˲��c�UM?t|����y>f�;���C��YT��m�
,Z�di�t�tó��T��05���
.x�$BcH1��l�ge�o~�Ӣ`=��n���
	+`����f{�n�s�r�IB����+�S��"��+Y�g
-ӏ�T�U���X$�i4���Z̭q��`���J�89a�]�g��E�ܐ6���T�~�Zf�#o5ë�{�S�鯯��>�"����
��C�^�����,Ӏ�d��-�f�4YDž��7֑�k1�G$,��Ƞ�FN�
-�?Du H��A�Ug�~5Ow����s0S6�aE�|#
�>�N��g�QbFM�a����#��nI��&�}����!�
Q�
-�W;8L�O]	SO,�n€u+"�]��%��'6q��kY��e�bL�5X6�5�
�%$~$���b�W��Z!��K4��K�S����d�J��5·�V�5��X6
`�/
i�1ي#�/g��޸�����5�� ��eC�u�	`��6h7��5
K
ʊ���h���ų01Lm�tD{5����ʪ��΋n#6�B
Syy���$��bB�g@Ij�� �'��f�ψZqz��'�$��K���j�
�؏�����[��O�E^ʙ�0��x��P?2t1.y�
-0Cg~fR�b���&��"��Z�����V!�yd�j�D���(M�(��F.Vn-󂋠��`�'/���U)Z���-e�v�̾��2B���庀Cc
y��
-!�|A&?�o\�
�x���֣����h�~���j
6A1�`.{�E6
-#�-�>h���x	��:I�����
pEͥ�?Om�&$*�F�X�&���j�
��q����9��
�d;�
LYQ�X������@��DbJm.�d����6�g�Q�ǫ���J%"^a�b�
��
܁�o
-�h1���S9͟$��F�EQ���`��|���t��~6���q1
�{�m�=�,��rS��Ylv
�[�ə����A����9M 
K��F�<=�Eo����`����,Z�逶Q��T]P0z�="��k�vqt'���Ȱ&�`+�b��)�
-]=-��&�y5"�)�O��@�d�B6�r"����h�ܸ̱�Y�~�����0�g%�.ɛ'��,Q��iI���*��T�Ҙ&d���& Qtj
��-�W�
��f�e�(��K��{
-B
-yy�nhPH�G�$�&�C�k8^�-���H��VMf
�J{��]�rD�.
$D
a�_ V#~Wu
-*���w�ɷ-6
����Yž�j�d;n��U�[1s��.	�4�(�
z��L��_Po�uz�q�͖�
-�|0���Z���Ȓ�y&� b�c.2�ѹt��xK�ߘA�$"����J�w���9N��ä����4��p����U�u>��͗�E�'*]]�?i�=��̥̔<�,�E�rv�Na.�Wr��=RHD���<���������b��58��f�߿Z����T��LD'lq�C���5,�
A�b8_m*
J2
B��S�{�׍�/���t��9�5�E3 Gw�u���w��ĕ�
��N���QuǢ'Rv�r9h�=]V��ȫ׵;��1�ُ�KJ%� <D�&o%����FM��m�j���`���
�e���;i�5�U��wk�������4�)	�U���.P��_�$ս˴e�K%��N^xB� �a|�mU(9g�L�D_A����p��VM��B4�k9�����6�P��� J�@i͜��xZF�q�������ZO���/�)h}�;,��p�
��	�2�
#x�,W������I0՞6J���U�o,�Vo�x��j��r�Wv�D�ʎ�\y�joƪ��޺e�����2-���
!�zFj�t�5|�b1���k�h^`��9S򊤂���Ю�p�b�5"���2�s�:ѥ����
�Z`��4�
ߺ��M�,+��V'�>x�4Ub�;���+��D�_����
J�!����j��GHu޲���b�تuc���K�/�4-��4�J��[Z�I�``f�+o�QF��$n [...]
-e�_���ʙ�x8
��
-��=�d��i��.y��)�xP*Kp��ƽ�h�xjKʃ#������!�
-7�=T�L�j�
p��J�IRz�E���)�ď��ɕ
�1��Y.����
��`�,�]Iw�tӹV�bF�I(��f}�V�0p2
D��F]��`h�������qE�>jRF\<�Y8D�/��5
-��$3�xQ���
���	5��u9�v�jb�\�/fM��g�KQW����/
-���>Cu�1[$ <F�"m�͈��Y5�c_/s�Tb)'Ո
M��S:��Ɲ
��	O���"Ik?���9��J_�f\慁��D-:�Q������wA&�f�)fGN����;�=Q�}x ���'�	;�;�`�
9�7��1�'�|����� W\f�����t�GuU�s���9}~_��R3�v����C�����U��5I�!;�������1�i�]��Xht\z��5�B�ѣ,����������%E���HK%�
-=:���\�yv���g�n�Z�E��h��sш�3L�-��[k8�,

F?�}�#᧣(9����<�
C���PI�ؙX&C�E��V��!+�K1��oSd�2bS�#'퀥Ҭ�T�"���>BtB���_�KL��4�gu競o�u���"�)Qp͗�k
m$�N������!U'�=��g�'mpͤ��_Z��s_�f���C9���o-2�Y������_ɳvZ�=�?�J�]��H^�s~�(�zz�
�
��QC�䉴�����
����X|q�p�B
!�{�ۇ���%���
� ��#��������������a�H����M�
2�2
���=���݊���o
�&���Es��4���
7��
EhZ!
]F{��Z��ky����b�t�U�>��b���������׫��G���Z����-�
ki����>���
g�q�}����qi�}7\^]�Ģ7��>�X�0Խ�;ifD��@.BFB��NW�'��endstream
+753 0 obj <<
+/Length 3329      
+/Filter /FlateDecode
+>>
+stream
+xڝ�n#�� �CH@�Nϓ�C�5�]�qdWF�8>P�P"̗9�j�O=��g��"J�=����������݇�
97��bt�
U�J�$���q�,&n���~M����4K��
<�'�||�W���?��	~�Ə\���
��h����@Xh��d����2x{6�
���!��s���T��С �YN����X���g���7fY����
B���_�
%���gy^�:�l2�]6�;�
�	k<��l�;-K�Z���q�lhmT��ǽ?43ta����:�X��}9I+b��n��>�$@�+<��j
	�(�4��k��v
��1 �3S������
�����RkEp��I���c��K��N�2�*����p��!͖	ڟ��
ѷv!r�k��5�X���	B72�{O8w80'ʖ��y:�M���	�1�HV���R���le����QSGYelvj;G��J+�gU����mc�/�/�hI	��%������'-�p��‰��~P
A쿑���
;���(�u��μQy��?[�4����S�I��Th���C����
���[Ul
)[��U�#R<:_����[>�����&�1�@�`ذ�DP�j��<a�MNk�Q���V�P0�����qhJ�?�30sW
>�?hy�"R
�ڈ�>K���eˡ@x�]�@��H��,
��ai�u�� PQV�
+���ӮN�%݊Z��ܺ0��K��36��a��5��A	Hj
F���9�
���d�{_�0��>�!��֍Ȟ���
�ܪ��U޶����q�
��Y˯���<!
�>�-�Y�$Ұ�yu=&�Xaby�E�g�ŵ���"G�s'a�^~6o��u�܄m�g_��v�2D��]��_&/N�1m!)5k3D���fEQG�~�1+ϊ�'�dz�(
�3?���_6���8�O���f��e at j_�l!B����B��&W9E�JN����{{�
�=[c����$�'�9{uTA �U�yi�qp� M�2
�Q.t�%b����3�& w�g�6X.g9��Ӹ
gA�C
n9����Z]	�Fd848>
˟B�@�V����LS��4�]դed>-i��-H�
#�����Ϙ�[~��ًd�
+�2�^��엱nCf��D6��Yi���=��y.)Q�2�e�x�5L�<�8�3ڬ
~��!��Q
�VK�E�!hB�����ZY�)x�U��ơ*�vj���`���8_�O����Wi��oY��k�A(8\�>�T�
��|���Gլ����J*��Y�մ0e��+PϪ�M�
��*�Ӌ*κ<�	�Y�oq�N
1���
g���������Q
}ۀ��Z�
���Uq�!H�Q�";_Ĉ4�n�Q��7͋YU����V��Ы��C���[��6���QZXV���
��<o36
떜h�\�![C����8�M�^3yw*�L
���,�s���V�6��z��r�����&���y�q]^)�zaW��<���R[�<{	��g>� ���͸����
}�[Sj�[	]�ý��Q�������ؠ��]O�!��V��G∳~
+�Z����X���by����A�"w�V���=��J���
}s��.��r2!O�lJ�i��_���<��uWY	{bۀ�+�B�Z�r�|?(�� ��V�� ���>��c�Lb�ya�3�͋@a9T�@+&�H�Ј�iDb���
`�=�C�F���0���x����;���fDR��2���
�Rj�D����
�
+�6�	�c�5�w�U�y(��
�ο&s>T�t�/��n;�ۦ�(��b�P��Y�
o��ʲ�˃I��c�5���
[��*	��}���%�x��q ��	��j����
f���N��Ϝ��TY��6�.�5�>t�|�����v�-]��<���T
���Q]ͬ{���<�����.������^].��.�����"@MkV�%Y� �2�h�B�_�ʷV�׋kUs���2v����!��Nq�����-�{�c�Aua�+O�Bt��NZ�:	�+M�
Q	�M�WF ����7j��@vo[V&^�t �F�W��^W����m���i�2`�hk,�zFj���N��WD��q
,f0������]^�nxх۬���7Ɓ -��̯5i6&�
+���.s����j�1x��1��
�0�������zjXU�ۈ�l̵�q�Kå�ʕ�9��W

�q�bj��Ɲ��f��rS�#w�q��.`��>�ԭ:���'�W"�Z�ͱ��tsAm/7c�Փ���m_ˏ
��k[��&�=~�k"\[�m��

�j%���4�0�/�Z& �j��z.�^}ƞ��,	�^a��Kެ���i�m�㜺H@b.��a|a��Y����Ƴ��1�� e4^�CX�n襁?k��+��;ɷ�I2O�a ]+~]�x��C7!M�-���ڴ�R�4W�HT��d|L�]���͗3��^+XW[BW��z��潤�
XW|�Ҫ ��rz��\3+����g�'����ս�E�k��
+^�\YW�~�4��b[UD
�*�vH�~����}v�����5/A_�X��<�.�i�$���@�zڥ�U�6�eVEq�1�����%�8wvм];6\���J����P�Q
z���:�����o
+�Z#�ͥi�\�h�%
{d��v�"t�t2u.��I��g`�,��49��_Z�Ғ���Ʋ�;�2:-jR�ԭT_)�}ե���
jr���U�_Nm+��
�@�V<E�Te|���ί�+����g4m˫Ԋ�]s|�~��F�d��p�Մ<\��ͳ^7�3�� i�S�������Yn���u3��
�i[�.R�
y����Ν�Ą>IG��k��Г�Ӌ�)6��u�����zY	���/�.6y�̉�MV�qy�.(�-�L�k#�*�H�`C��kwWF�j�kB-��/>K�Q�:P������
+��ܥ�ERMX�w{��q����|GH��&�
�O�
+#�S�٩�aQ���O����;zl�u(_�
m�p����?�M
v�+�����e�!W�9q�/�g 2N>�Q��fNS|q�K�YW�|	;O�l�'F���d{�ԋIc�xʄ|
����k���������s'#��A;W��
-w7����k2Z�$�o�YV�G/��\]�v7n^�S%����z<�
+o�����jT��*G.��MY�\2��,�����2C CYB�������Ծ�|��zbvܱJ}�&��!������_}T��oU�<���l��~%�)�@s 1MR��9��{�gs����^�o�+Bv�3��?
+��\���0� ����	(�:f���e ² ~ɮ"�����B� endstream
 endobj
-756 0 obj <<
+752 0 obj <<
 /Type /Page
-/Contents 757 0 R
-/Resources 755 0 R
+/Contents 753 0 R
+/Resources 751 0 R
 /MediaBox [0 0 612 792]
-/Parent 739 0 R
-/Annots [ 759 0 R 760 0 R 761 0 R 762 0 R 763 0 R 764 0 R 765 0 R 767 0 R 768 0 R ]
+/Parent 735 0 R
+/Annots [ 755 0 R 756 0 R 757 0 R 758 0 R 759 0 R 760 0 R 761 0 R 763 0 R 764 0 R ]
 >> endobj
-759 0 obj <<
+755 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [467.76 675.168 511.04 689.116]
+/Rect [467.842 675.168 511.08 689.002]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit)>>
 >> endobj
-760 0 obj <<
+756 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [400.333 660.722 438.414 674.67]
+/Rect [400.347 660.722 438.384 674.556]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/stats.shtml#amelia)>>
 >> endobj
-761 0 obj <<
+757 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [462.013 660.722 540.996 674.67]
+/Rect [462.072 660.722 540.996 674.556]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/evil-abs.shtml)>>
 >> endobj
-762 0 obj <<
+758 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 646.276 205.459 660.224]
+/Rect [71.004 646.276 205.442 660.111]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/evil-abs.shtml)>>
 >> endobj
-763 0 obj <<
+759 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [511.044 617.385 540.996 631.333]
+/Rect [511.089 617.385 540.996 631.219]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/replication-abs.shtml)>>
 >> endobj
-764 0 obj <<
+760 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 602.939 96.408 616.887]
+/Rect [71.004 602.939 96.38 616.773]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/replication-abs.shtml)>>
 >> endobj
-765 0 obj <<
+761 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [107.097 516.928 113.822 530.72]
+/Rect [107.048 516.934 113.771 530.653]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.2) >>
 >> endobj
-767 0 obj <<
+763 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [172.623 99.892 290.376 113.84]
+/Rect [172.522 99.934 290.169 113.881]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.gnu.org/copyleft)>>
 >> endobj
-768 0 obj <<
+764 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [291.704 99.892 434.916 113.84]
+/Rect [291.494 99.934 434.438 113.881]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.gnu.org/copyleft)>>
 >> endobj
-758 0 obj <<
-/D [756 0 R /XYZ 72 720 null]
+754 0 obj <<
+/D [752 0 R /XYZ 72 720 null]
 >> endobj
 14 0 obj <<
-/D [756 0 R /XYZ 72 254.33 null]
+/D [752 0 R /XYZ 72 254.359 null]
 >> endobj
-766 0 obj <<
-/D [756 0 R /XYZ 89.933 116.43 null]
+762 0 obj <<
+/D [752 0 R /XYZ 89.933 116.472 null]
 >> endobj
-755 0 obj <<
-/Font << /F26 548 0 R /F48 554 0 R /F67 564 0 R /F70 642 0 R /F7 753 0 R /F8 551 0 R /F65 557 0 R >>
+751 0 obj <<
+/Font << /F29 544 0 R /F69 550 0 R /F114 560 0 R /F126 638 0 R /F7 749 0 R /F8 547 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-771 0 obj <<
-/Length 1303      
+767 0 obj <<
+/Length 1325      
 /Filter /FlateDecode
 >>
 stream
-xڅVKo�6���

�QOk�>Т��E���� K�MT�������w�Җ���H��3�<����ޕ��Q��7���2�)�Mgĵ��V�\g�`VZu����L�=}?�y�� c'b�j]%E�����.l��'a��D�A��vgb����o�0Z�}���]R,|�o�IeqŮ~�W�TkUæ��
��bt`�F�N�6>.����
qq0/�,�(O
o=��5���mF9��2B�
��Du'�|ۇ�;������_K ��AM�(&�=V��Vy`v$`�0�@l?�:k���Zg:J�
�(�I=� n �u�j�k8*W��q��^��3�
|T��#ALr��=te�/W=,��b'������E�d��y{��2U��R�	\�Zze[�xO��;��G]��#)�рԪ���f|�V�<���kEZ��r)�*�~�'�u�3��;�d�σ$bA�/a��Э��s7!�:Uw"�� u��r��kI^q
A�=9эG_)9�]dW�I’���A�r�{�ԳW�F
����0w��3��[]Д)��P_��
`�2*��Œ�u�7��T/�����PX���v�ݴ�^o�p��:nNЄ:�ʤ>�V�-ة�'�n�F/��l<���`�
{�'KL-3D��t
=����_u��$���r���
QTH��	��_�QY�Z`ϣ�:�=���*j
�Y0���њ'P��
$�5G����0��0(����2�u�T�'�
�
\�
-�L+K��T��������y5���,��((��P�2�:�Mr�Y��}���؜��������oߏ;!��gv2~M��C}�I9\U�L��:S�@ӄ�ut2�f���:
���2���-nT�8��޲���
X
��'vv�F�
����l���$���j��ѡvD��umd���2�e�D��~|
Q+���t�f;6�n}ճ�˓�N�n�k�v��
�z:�����?/���ᤙdz�G�z��ڇC�WZ-KK��ØCsLs$l�]�}{.��
�6����AF���1�V�i�-�=KwxW}���H<��eS'tUm��<Q�٦�y�'@��reԾ��LI)�!��9-�R4�q�A
-�EGsWf�?v	@k鉄��OI�
cmS�;�xG�^�t��
To�\'�
��t�,d�9�Ц�Pܸa�<��p	C�%_|T�<��M�.БQ`#������
�I^$2?h.oM/���;I4�ذ`�/ig
�0�~�H�� &����[ �
K�I
-?)]���3h��ppI�醧���$*ӄc��z������%�endstream
+xڭWKo�6��W�E"E�DQ*�Z4���b������r#4�]�����H
mM�
���p曏3�wW7����d������
�7Y^�l�>�v�ZS&K��0
a�ad0���Ɵ0>�6���,�֑��2m
k����H
�Π�g���K���4�<�����V6��w?����6_�E�UyK��yZ�%h�Ds�����k�W�Y�����#^�ͥw�eUk��د+�t���	#�[iLp����բIN2y���+9��n$����}$r�i�
~��]?�J�#�����(fSQ0�"5�Ɍ��#��{{q��͖iU��/�d�t�A\Z�9��H
���vtr���s9^�@�{K[(��&L��n�Sh��
��^��Xl�\?��I�h��`�N*�������ҭ4ב�g
�]������B�Zc?����,�����u�4��|
D�����œ|�5�
�
:(��E��ϼM�mVrΣ�9f��͆>�ŽdH�|
&�v,�f��G��P#�5a�����Ƽ�y��5�ip>>���k^?Q�2hj�5e�B
+%U��}1}`ζ>}L��0p�+/�VZ��j��u
������0�RWr/B�'��
gG:*�3¥mɏU(
�E���^�0���;+��ǥ���<��{}`3�X��".���z1%�˛�ֶ��˦HB��_��*��.7"��Fk3W��囥o����gn����3-4�
Pb����Q��B���`y{.:��QcŴ ~�IDۨZ�k6�)->A� ��:�A�A�yg�� ����O���t`;g�c>�r��w�
,���گ�H���ڣ?�

�'fiDRnۿ�K�S�44+�� ���BZ�I�V���y2���������n�@{�{��H9+��C��.��z��.>a�wV��/��v߫��j����%<�$���R
$�S�=z���l�-4���g^�6n]e[�b6v
�{)
��/k;�&=�[^����I
/m��'
�JV�
�8��
]���ɿӔȻ�����s��
�L��J�Ϊx��'C��8�����nhS.���n6��2��}ۃ��0>�\���wJn#�ٷ�eM.�e
�uj�P�G
y�T�_�X6�f���
7
+�3ny�T�\�~�`�r"�nj�5��
��z�r�4v�cF�Z
^�x��&�&f=���%����<�Ɯ���
M�_��=��(%x�Wg�Z�}�?>�1C+���b��q6�ʆk��w3/��P���(��7Q|4��w
��4	]���@���
̩ߜ��w�,K��hh�Z`��2�/��oT�Jĥ(M�;���+
��ŭ�������}endstream
 endobj
-770 0 obj <<
+766 0 obj <<
 /Type /Page
-/Contents 771 0 R
-/Resources 769 0 R
+/Contents 767 0 R
+/Resources 765 0 R
 /MediaBox [0 0 612 792]
-/Parent 739 0 R
-/Annots [ 773 0 R 774 0 R 775 0 R 776 0 R 777 0 R ]
+/Parent 735 0 R
+/Annots [ 769 0 R 770 0 R 771 0 R 772 0 R 773 0 R ]
 >> endobj
-773 0 obj <<
+769 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [415.19 579.195 564.288 591.814]
+/Rect [414.781 579.2 563.63 591.743]
 /Subtype/Link/A<</Type/Action/S/URI/URI(mailto:zelig at lists.gking.harvard.edu)>>
 >> endobj
-774 0 obj <<
+770 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [508.244 564.417 540.996 577.368]
+/Rect [508.279 564.419 540.996 577.297]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://lists.hmdc.harvard.edu/index.cgi?info=zelig)>>
 >> endobj
-775 0 obj <<
+771 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [508.244 564.417 540.996 577.368]
+/Rect [508.279 564.419 540.996 577.297]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://lists.hmdc.harvard.edu/index.cgi?info=zelig)>>
 >> endobj
-776 0 obj <<
+772 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 549.639 349.833 563.587]
+/Rect [71.004 549.639 349.517 563.473]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://lists.hmdc.harvard.edu/index.cgi?info=zelig)>>
 >> endobj
-777 0 obj <<
+773 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [180.39 521.411 218.476 534.031]
+/Rect [180.261 521.417 218.298 533.96]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://lists.hmdc.harvard.edu/lists/zelig/)>>
 >> endobj
-772 0 obj <<
-/D [770 0 R /XYZ 72 720 null]
+768 0 obj <<
+/D [766 0 R /XYZ 72 720 null]
 >> endobj
-769 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+765 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-780 0 obj <<
+776 0 obj <<
 /Length 137       
 /Filter /FlateDecode
 >>
 stream
-x�%���0��<�m$C����eE�&�0!��k
�OR&��g�X�0�

0K�� ����1�,P������K�c��A_̳^�Fr�iA!���͐�;�
�?|���n�4��0r",1����a �š�����:U��&$iendstream
+x�
ͻ�0
�=_�d��egE�&�0!��k��'�`�W:��UM3Q���n�sA�
�y�,P������ː޿���b��
+6zt"�
+�ޛ��Z�Ø?��-,kߚf_�KJ�
t��q(9�԰�V����p$�endstream
 endobj
-779 0 obj <<
+775 0 obj <<
 /Type /Page
-/Contents 780 0 R
-/Resources 778 0 R
+/Contents 776 0 R
+/Resources 774 0 R
 /MediaBox [0 0 612 792]
-/Parent 739 0 R
+/Parent 735 0 R
 >> endobj
-781 0 obj <<
-/D [779 0 R /XYZ 72 720 null]
+777 0 obj <<
+/D [775 0 R /XYZ 72 720 null]
 >> endobj
 18 0 obj <<
-/D [779 0 R /XYZ 72 532.566 null]
+/D [775 0 R /XYZ 72 532.566 null]
 >> endobj
-778 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+774 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-784 0 obj <<
-/Length 1721      
+780 0 obj <<
+/Length 1760      
 /Filter /FlateDecode
 >>
 stream
-xڍW�n�F}�W~)X4oKR)Z 5�"i��Ҥi��!)�E��Xq��sf����i_ȝ�����3��i���yͼ���h���"oz���l��i]��ܵ�.k�
?
--o����̙-��
�>�yQ�
-�E�/�yE�K��{��u�R�N�*��e�y�Z)�o3
��a�p��ȷ��1���^dA_/�=�vd*��a!��t�3jh���.O�+suSm�j�^�\��GG9�����/����ECD��4�h�RR���A�en`A�'��K鐴�
��	�y�h�mv)
]�2h�=F+V2Q�$��M��2�c$�MZ�j#s�}n�km��]4l�e�
�ϙ�32����ٍY(�d�U��'8��'s#[����^U�੧�E�+ˆ(�v�Y�(��~��رc�2�s�#��G��π�ulGfA��U7�D�09��V���E
!R�p��]_��k�����F���2QH�
߳B��C��l7���Ǟe�i���ө��H�Ɉ�
[Uo.X��܋Ы�����ى��a�gi��Pn at 0������b�w5}�^��j
��%}��
���7�!��X�CD|���Xt-{uaPrul̀a�佬v(2\al�3��FW
h9.�[�e��t���dIgRӁM
	�$�
wS5�{���L��0�x�w��I*��k��"K9q`�ݹ��}ώ���
-�n`�&/8N�}HE��A��H.�g* ��A�t���~��0T'Q����/):�|M֓9�;O��nEo��e�s��3�C�T�E��d�o��m���
C��q@�ah�ظ�@��9B��-�,]��Jn`W����Ud���Z�
�7����8
��A��K��
ǘ�W�@��l��)�߰�����K�U
9
A����<\������)"������g|�`�S��Ƌ#�
�;��$U:&G�o��gM&�W�ɓ��_ʄ� �NF�6U��1 at X!e�K�sF�Ǫ�@�ɼ,ęb�h2���2�hS�䆼܊`�`��
�U��1 ��F
dyU���̕��P����r�o��#ر=w������Į6'E��g
Qi��쨴���L�ܔkɜ���{A�Z��
-��z�&��

!H�
�j e�l�h���U��P7#uM�9G�D]p���$�n�-�r蓭Iѧ|#��8��2��h�LTM�"�Ǖ 8��tp������7�IS�I8�퍚��R���-g��_�[�?�V�0r�g��H�%��w8���{.���;@j;�N��me���m�
-��ry�u{
�:�
�ſK�2�=�k�����Ñ�As]��6嗆��;�Zh��23Z��M��cvਓ�o��̴~��3�.�uN{�qg�?dyoi�T����Ԏ�3�[�is|�Y��×����a#��L/����ƮW'f�)
5���:q��^ř�<�H㘨�G��.C��q �1�LF*L0\U*�)�5S���\>Z�r�U��&;�|Р�������
r~����r��F��{,B���{�(�_/�q%^�;΋�B���@06U���#���O
8����[N(
Pmvh�==8��B$�E��2
"�����eG�����}�dg:�6�8j��{��B�]x�xxG���r|����L��LL�0UǼ������FO`<�=�ǘk@
��~��9,KM���	0��;31��w� nG�q�{^l�A4[D�����r������ ��8wendstream
+xڭX�o�6�_a�e2)"EQR�
�uh�t���]�=�����̲��xI[βa�I�xw���
��գ�gB��TIQ�����#-�$SjtU�]�Et=5?�[��l�qV�
�y�b��bU%�Ȑ�Y_w�aǒ�)�[��"�|�LV#!�*�A�a��DV���@g��vfG�����7K���<g�Kݍe�|w�asܵ�
��s_1����`4�I���
̦vSݚ��ǰ���	�}H�7ω��Î�k���Z�i��<w����(�Y���UB%Ji��o�8�9���Ʋ�n�y�38[sFS]Ӵk�d8����e�ѳʆ�5
��]fƿfV3�����8P�_�"�/,ŵ��
�?=�
��+Il����(�<��l9�'�XeY�|M<�U����y��FYC
nQ1�u!��BI�e�) ���ti�*KPG%Β~�:��	���U1���¤]��8��e�����~W�O.��?�I�q&�=L��YJÍ��-$3��A=������иS��*Hn�)Nɵ
�6��8ܡ
�G͐C at a���b�ĹȢ�m�c{������cVv����y�����HY�<�,?{��
��W~�#߹�wq�τu�P?� >䩄�s}?��e:�x�c�"���I3/01Y�<�*�k��5�GX,pA�D�+��ٸ�H�!ҷ
&Z��
�%��$gDĕ����)���k�
��a�d�LJ]q�N8lΙ��m��ˤ0u�6H��iC�(|۲�j��Grpr��y��|mf롂_�f~�(!m*!N�
�q����6�goA�'�����c�D�K���\�6�����!Y�i��
��~�&�̚L��Py�h!o��{�.�q��E	+�k�j!�}c�>�M�إ�|�w���W#��;g��-1�"a�[^�՚�o
�B�|G3�� �_O��p����0s�x|·
�ssX.S���?�ɧ�߆�/A�K�����
sU�aޘ��OC�k�c���h���L}�æ�
�C�ߘ[�������ו@d�
!<��'�����Aa;�2�W�m�4u����8���+<�g�il�^X�r_9:��u�VlQ���Y,�����h�p
��
�oSu���f���Ȩq�s̴L{��x$S���!���w�[[I�7��z{�ƹeQ؝�w�ْu��&
+y�(�F�F�44��a!�F������%
 �{g�4-QK�E�T��d�DJ~
 �/�I��eHRqJR�Kʂj��"zj�Cw}�K�TaL3���o��{$��QfM���'�8w㎠�~M ������w��aZ:�W^,�r����m��lk
���'H�ym+�ҽo����x2߬��
�;��cs�+ԉ�5%l����l����(�
�k�HZ���r�'�o�H��4�6�^
+,�h�
�ތ�9r�y��� qpն:���z}��+=�ac�&���Fk���|��td�v��=��k\5WҾI��,�e�Ῠ����c�I���;FEd�)��v>����ښ#K>
�4�ﲨ��-��g9X�L
�7
+zQFo|܀
�
+�w�9�.9�@�)�	��q��E/�6���>��"LW^4�ߨ0w
hۮ�����>*aϒ��3a����[��;�
%Y�r/�
��M���՛3Z���-\Gb�ks�.�i�7S��ib��TMW*� ���c��8���)K�J�Q\��Pt�X����
�
q�Aiendstream
 endobj
-783 0 obj <<
+779 0 obj <<
 /Type /Page
-/Contents 784 0 R
-/Resources 782 0 R
+/Contents 780 0 R
+/Resources 778 0 R
 /MediaBox [0 0 612 792]
-/Parent 739 0 R
-/Annots [ 787 0 R 789 0 R 790 0 R 791 0 R 792 0 R 793 0 R ]
+/Parent 735 0 R
+/Annots [ 783 0 R 785 0 R 786 0 R 787 0 R 788 0 R 789 0 R ]
 >> endobj
-787 0 obj <<
+783 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [194.983 375.085 221.037 388.037]
+/Rect [194.981 375.12 220.991 387.997]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.4.1.1) >>
 >> endobj
-789 0 obj <<
+785 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [423.319 254.33 431.165 266.949]
+/Rect [422.865 254.399 430.704 266.942]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.6) >>
 >> endobj
-790 0 obj <<
+786 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [516.242 239.22 533.192 253.167]
+/Rect [516.289 239.284 533.214 253.118]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.1) >>
 >> endobj
-791 0 obj <<
+787 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [188.32 224.774 205.27 238.721]
+/Rect [188.32 224.838 205.245 238.672]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.2) >>
 >> endobj
-792 0 obj <<
+788 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [340.423 224.774 357.374 238.721]
+/Rect [340.405 224.838 357.329 238.672]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.3) >>
 >> endobj
-793 0 obj <<
+789 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [135.043 195.882 151.993 209.83]
+/Rect [135.077 195.946 152.002 209.78]
 /Subtype /Link
 /A << /S /GoTo /D (section.2.3) >>
 >> endobj
-785 0 obj <<
-/D [783 0 R /XYZ 72 720 null]
+781 0 obj <<
+/D [779 0 R /XYZ 72 720 null]
 >> endobj
 22 0 obj <<
-/D [783 0 R /XYZ 72 720 null]
+/D [779 0 R /XYZ 72 720 null]
 >> endobj
-786 0 obj <<
-/D [783 0 R /XYZ 72 456.447 null]
+782 0 obj <<
+/D [779 0 R /XYZ 72 456.479 null]
 >> endobj
-788 0 obj <<
-/D [783 0 R /XYZ 72 286.542 null]
+784 0 obj <<
+/D [779 0 R /XYZ 72 286.606 null]
 >> endobj
-782 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+778 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-796 0 obj <<
-/Length 2273      
+792 0 obj <<
+/Length 2234      
 /Filter /FlateDecode
 >>
 stream
-xڵX�oܸ�_����"EIT
-�M�C�^7���=�+�W����v|}烔��6I��E����p>~3�7go�t!S�d���.R�HC#B
_�/�K��JJK���f��_�v�#/�"�iq�X�D(�k��� 
�gY�/WQ��5�S��:%$��uo�4I0�;��e�U�o;��u_>,U8��.�
w���v��G|4�F���D�w}9X�'
'�(�E��
��5��
�
�4��
x^<���[-W�
|4���n�W�n����ęe�0Qn��.�g��:R/VR
���+����͋�Jɔ
��	�
��=�
<W������m�Kt ��絴�
T$
Y�
�}h���
����5Fǡ'3�-�d�P�ߝ%�0d��;
-\��CI�"0ŧ����9��P��z�#3FZ%��Cy��ʮ�����@��0��Ny�@�g�!p����Nʈ$�Ƙ���N0�i��5G���9�5�<{L�J���Ҩ�quv���b���]>�������ƶ�LơHM:
�W%Aa�[Ҭ�Jp�Pn��.���v(qd�`�r��aW:�cs蘎v��ӂ�� X��(Y�%�����W����엒��E�j3Z�x�q�Ug�=��@���Hu�9���i9�?����)m�-��
ÝLߣ�3���c:J�'�a�YwB�
O�xةg���;mFʓ���
�I�d�F�&�P�
a�4�HL�8
5�	1���_��:�"�p��P`}}"�@�,6�X
-�g��u���zڮC����>����'�

�G&�=г@������!����_�'����	"��iCQw�ѩ��;�ET�p�p�:q<��~Y
��9Ѹ8UO���f�fܳ�DŽ��ŏ_�>d�S�R��(�yk
��
-ʇ�8��'��΋���s/�ے��+N����
C��
�]�5<����03����8{��D�
�����S$�|Ӝ<w��I쩶�Lov���	g1uK�KP���ư�1�|ӃdBe�"�UM'r��ӡ�f)����}���v� ��X�+��~斑�Qm-���/xX�O���n|ud��n��T.�p'��U�L�a=��S���P9��Mki�W+�i�
��p=��h�sCE�F� V����4#�2�qj�\���q�X
-�[�1if���bf���9��9:�u�A�nJ`��
�n��L�rY�U�<qN?ضg{��V3k`��>ꡀ�t+Q	�Go�����H�
ԣ
X#d�kv4���屳G=F���{{�c<hE�
��-�o�6ZK�$�A���q�ry��ίBa��Y�����ڱ�|�H�
�8EN�2���(A�X�#��
��
�P&"��&�{<��t4@�<P�d����l}��p��|/p��C��S]���'/z�С��?"iٞj��"=k����fT7Uj&]1~���R���UiϤ���
���"�d�
7n����ݷ9쩌��a��m�}�����
�B�
�"����7�0� z�4H"E<^��\3�i3����O��E6^�"?yݨR�A#W�����4���7J_������w��
-��?
Z��t7���b*�]s�Y@��t5���l�

���FK� ��Q���s���@����`-�MQ�Q��G
���v���5s�0K@��������|�����W��r\~hΙ݋�5|@=�>�#�)t2����Qk����������?�Xb��W
��me������J�8���F2x�jImD*�b�?�����Eq.~<
E���#�C!�l�?�&�Q꾫�g��@�j"���B�e��_	1
6��������"�0����Y$��x�
��2�;��y�G�I��r�)��oC̼f��8��8���z��P6�f���r�d�K$�
������p�0
�^7NjR�1��>`��

��z���D{�� ܇����ZI��.i��4�ɐ�l��S9P�
a��g at R�����6�_��^ �8

�O"��Pz�+Jj59
>C~am�t��)���
����};:Z��ϣ��ᎋ�sS�U��2E!�Mv[��y�#S�@4�� [...]
-v%�� .��G��
/̰ȳs��M
)s��e�bN'
-
-'$sm�qG9Q��dl�eG�!��e�
�0]��{
-F�X��+2:
������o7���'.�`��;�g[���c�EXpe��c�z��M�2B"�ASe�a�S
��
]}�endstream
+xڽY�o7�_!�I*f��_-p��-�\�
����vtgy]�
7��o��$W+ۇ��a�%9
g~��~w1y�Rk7ե2:�^\MK3-�JeZ�_gf�g
+
=_hm�����vn��^���?��xdӅ)�)jb�=���� �
+�y���|aK7[2S���ؼj����
���~����y
�;x���c?
ޢ���ǹ��V�z��
��sS�!ћ怭
o��y"�5�����`U�"ڃ��2����
~��Ld>ȃ�~�
y
�Gɚ��
]�$���Pt梤ǯ၅�Fu�Tm�H��@�l�r�p�V��Ӆvʹ�H6�up+Fkň����26��Q��>��le�n�f�W,:����R��;��|�t
(��Jv��rע"�sT�=���(9_z<GfLw���8�ۋ
��R��d�#F�NUF6�wa}/"�Vk�وXg"K�����ka�d�?u"��TQ�=���
�B�?�N�p�M�I�C�%�=����Uv�n^��蜯���с���~QB@�ˆ�����C
��g�k�V�E5ٳ�����&?-�?[1�-ӷ�t�O�`��z	�a4�
+

d(�س
��L��qon3U;�|o�
5�;��t����@�c��7
=�a�����qk ��.��K�X��G�SGp�������5�w'�企,+�
M�ͳ|v���X6��A��~}�>
+2+��'jQsd�l�MxM�B6��
 
h�*
>�j��p� WcJ�
�^�'j�v��}�Y�_�ĈYs�۲�;��Ŭ�f�Ui
a5�Tu����X[r��@��n8b����{M�=��kq���|��72������,}@�ߣo�� ����c��ԲI��2
+e��)l��� '�ň6M��ٍ��{>��*��╡S8�
�"�>�h�Y�A:�!�CDx?����G_�>oň��h�!!����X�6z��AbF\���D�
��� �
+����8uT���$�ZN�FȾ�&~��<g��/��g�y���ty%�k�_�ce��J´���a<����ʂ$Q�G�SI��39��-x��g�]�a�����4
���|x$�s���AD�J��|�z�kՁ	�~*Ӷ}:������
&�㰤}��

������ܻ��
�X�K:����|��-������
a�viتt�*�&6�
��a��"�7CG��(���D��J���07V��2�'��������G�|f��� i/��K� I����Y]��I�ƪ�)�ߊ�%�Ҥf����	��8=D�A��Z���ǵ�R�D��{[�i
�e at i��3����&5�-Vy�^��>�����,��
+���>���"I��r�%
x'I0���)��Q1�?z�mt!����@x�a���9&Cgo��v��_PHy�xy�V��u��"��X��~_���X �|� ^������Wv�#����M||����[ ��K|o��Ϟ
�@r�1MZ�4�.����\_^*[��*�)��t���A���s
2]�lj�Q`�LB���`&��z1x�	R%땵�*���#

+�]���g�E?ݗ�]_�>f���s�ј�TS�z�	
��q�Y��7���5�U�&v����}%wr�vYA�A�f%�4:��g?�Lc("�\H1�\�in�c'�>
qE���-j�'�_�{���4fO�"חp���%e̩�!���:Y��Sw��RKK�
��(Ѭ��Wa����#.��ɧRI��t^�T�G�*Uj3]�&L~�=�n&��I�l]M�=S������Jx+�}3y;���`G�s��� ��tT�͕+JX
 %_cs�4WX�4Ѐ
+�*4k�M��䨈J4��\����o�$��P�\>�
H�Bt��\he���l)�� 
6~1�
%Ӷ�0��!��_�>F��L
�}J/9K{�4�V�
�9�p�aϓE�^h��¿��#�ۓ�
0�^,K
WW�n�<�v{nE�*���[
�ϕ1��hn��‡��h%�Ց�9
ޅ�ꣲ��$����`Τ]��a��D<8GW<�ymT�U���S���f
�;�,�t����y��iR���Cғ��ii� d��cS�`!vy� �a���a

#758@��P����2!�p"LT�6����+f�d
'ί���"��:����҆;���+Xv݌����+*�k>�+_��
�e�Ӱk:K;
<	%M>��d8����:Lܭ����v&�oބ�0��J��Ar�9R��a��AD�endstream
 endobj
-795 0 obj <<
+791 0 obj <<
 /Type /Page
-/Contents 796 0 R
-/Resources 794 0 R
+/Contents 792 0 R
+/Resources 790 0 R
 /MediaBox [0 0 612 792]
-/Parent 814 0 R
-/Annots [ 799 0 R 800 0 R 801 0 R 802 0 R 803 0 R 809 0 R 810 0 R 811 0 R ]
+/Parent 810 0 R
+/Annots [ 795 0 R 796 0 R 797 0 R 798 0 R 799 0 R 805 0 R 806 0 R 807 0 R ]
 >> endobj
-799 0 obj <<
+795 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [355.081 655.94 517.522 668.892]
+/Rect [355.241 655.968 517.499 668.912]
 /Subtype/Link/A<</Type/Action/S/URI/URI((http://www.r-project.org))>>
 >> endobj
-800 0 obj <<
+796 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [171.545 641.494 280.643 654.446]
+/Rect [171.427 641.523 280.393 654.466]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.us.r-project.org/bin/windows/base/)>>
 >> endobj
-801 0 obj <<
+797 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [294.259 641.494 540.996 654.446]
+/Rect [294.002 641.523 540.996 654.466]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.us.r-project.org/bin/windows/base/)>>
 >> endobj
-802 0 obj <<
+798 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [294.259 641.494 540.996 654.446]
+/Rect [294.002 641.523 540.996 654.466]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.us.r-project.org/bin/windows/base/)>>
 >> endobj
-803 0 obj <<
+799 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 627.381 103.756 640]
+/Rect [71.004 627.412 103.721 640.02]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.us.r-project.org/bin/windows/base/)>>
 >> endobj
-809 0 obj <<
+805 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [157.904 231.619 244.765 245.567]
+/Rect [157.946 231.619 244.776 245.453]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/bin/windows/contrib/2.4/)>>
 >> endobj
-810 0 obj <<
+806 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [470.227 217.837 506.84 230.457]
+/Rect [470.248 217.843 506.851 230.386]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org/src/contrib/PACKAGES.html)>>
 >> endobj
-811 0 obj <<
+807 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [356.2 188.281 362.925 202.737]
+/Rect [355.93 188.282 362.653 202.67]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.3) >>
 >> endobj
-797 0 obj <<
-/D [795 0 R /XYZ 72 720 null]
+793 0 obj <<
+/D [791 0 R /XYZ 72 720 null]
 >> endobj
 26 0 obj <<
-/D [795 0 R /XYZ 72 720 null]
+/D [791 0 R /XYZ 72 720 null]
 >> endobj
-798 0 obj <<
-/D [795 0 R /XYZ 72 671.714 null]
+794 0 obj <<
+/D [791 0 R /XYZ 72 671.745 null]
 >> endobj
-804 0 obj <<
-/D [795 0 R /XYZ 72 575.245 null]
+800 0 obj <<
+/D [791 0 R /XYZ 72 575.306 null]
 >> endobj
-805 0 obj <<
-/D [795 0 R /XYZ 72 544.713 null]
+801 0 obj <<
+/D [791 0 R /XYZ 72 544.762 null]
 >> endobj
-806 0 obj <<
-/D [795 0 R /XYZ 72 471.676 null]
+802 0 obj <<
+/D [791 0 R /XYZ 72 471.707 null]
 >> endobj
-807 0 obj <<
-/D [795 0 R /XYZ 72 290.951 null]
+803 0 obj <<
+/D [791 0 R /XYZ 72 290.961 null]
 >> endobj
-808 0 obj <<
-/D [795 0 R /XYZ 72 250.013 null]
+804 0 obj <<
+/D [791 0 R /XYZ 72 250.02 null]
 >> endobj
-812 0 obj <<
-/D [795 0 R /XYZ 72 186.99 null]
+808 0 obj <<
+/D [791 0 R /XYZ 72 186.989 null]
 >> endobj
-813 0 obj <<
-/D [795 0 R /XYZ 89.933 149.709 null]
+809 0 obj <<
+/D [791 0 R /XYZ 89.933 149.709 null]
 >> endobj
-794 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F32 668 0 R /F48 554 0 R /F7 753 0 R /F8 551 0 R /F65 557 0 R >>
+790 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F35 663 0 R /F69 550 0 R /F7 749 0 R /F8 547 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-817 0 obj <<
-/Length 2229      
+813 0 obj <<
+/Length 2206      
 /Filter /FlateDecode
 >>
 stream
-x��Xێܸ}�W
��f8��2� �E&� ��=�]�n
Ԓ�G�Z����קN��fd�
?�E"�Y�:u�ȿݽ��u�
ctw�
�:�ȉ���P����	��
fs�lj��W�Oe�77V��~UI봹r#՜�7l�:]��P�U%���_=���(�
"�72��+��"��ԅ@voe�գ��4/r��7��O���
m��n�}��
��&��2�����Y�]O
-�$җM��7�Sw<IK���<G�4��&�n�����o���I��&>�J��S[6�8���ö��&�M��:�8�}t��;c�ЮO��Z�4'�EV��p�4Σ���g�H�T#��A�a�+�h?4�~��0����B�*n`D4�x9d��x�	
nHzB��q�4��m�̡�E:�h�X�*I�
�����Ģ��8��<��q���) 5(�X��W��U����VӪ챉G��UY[�DW�wY��$��q�@I���1���!��\/Po��b
vz���{��A�/��A|��(�,�"bݸ����U�kӶ
R8v"TY�u#�Ȟ���}GG�����6��+�aɼ�
eݶ�9IX��� {%+f?Q��X�9�a�$Q���FsB Ќ��z
-���4A�3b�	�ر��^�I���wv<i��#w46�h���O��N�pg
-_���R�
@� �$
��=>�
�C�������
R xd�G ���GF
;�.%X�r�F��F�(	MAa�,�(�"�,�e]3��c�y�?�F*~��E
�&.��%�x���a��"��kDh�BƬѨE��� �H1ơh,{+&Ѽb�(ё3Br{�9��G�ss�
fA��]?�1�p�
A����Z�x���<'^��b�G�=R� 6�˖R`˹I��[cF�����JD<w.�j��D�2G��h��;��9�.))_�R��]#�>��
�P���ە	Bm�+�����"-\M_���|O;�1�6Y�ek��<��2Dt�N�S��8�[���3��x�
-����C�A�Ԃ�f��e���6�R�0Yw��̜�C��Tc��4r:3qJ�K+��Oꁩ"�2���0���������$Bб��\4-�����6+�:d*m�ś�2�Yw��r��g����;=��'0�l�E^�d

��ߞ�
-��2�e�����
��G<
/�����_����d���W�.�t/�.g�ؗ,F��z*1���
�ܖ�ܕZ�����S�S��ɓ��a`�Ue&��YQ3�(���~�mGWD\ƪQ7�����E	�&�/�&�A�X�J� �y
�N""��Lw�
-�a�x�2�G
[8'�V��k)[�ϔ)�֒b���1v�K�lq�����p��d�w�l�J�RlQ��xK
���H�
�g����,K�s�{�G���l������|�E�Ɣ��<��E�p�Q�����"��b:��.
9%��T��~l�B�
t��7,���,KُR֒cm4��v'yNĥ��������ϛ�
9BZ;�2|$���E�JM[qҹU����ta��F��g��N2��S�V^R�iP��apf���l�Z���&A� տ
-5H��=�=gT����9�Na�j)��g�}����'��H��He\�,�&��� KFt\��pc

-������k`&���T�+;�G"�e����}����x�����W�
�'~�h���
xNlF���������
D$�6r
[
\�����G!7m��c�
�X�i�n�N0�k���P-�؏)�k/*��GD�5�n�0
y�Yt�����/ICE��4{�
$�_V8�jʼ�珔j9Wsr�~�U��酳$�<���(>����k.j`ݷ�x/��\�L0A
{A%
{����^�~�OS)2;���f/ﭼT.`��"j�{^��{h��BΉ�����R|�F��E�4��
�¦Ů+�Mq�Q!��B+�^]_� mZ���-_��\L���we
�c�5��kwD�z�-��>��@����4r�lE����k7y��ޥ��x=7]�Y�D�=���-��D�
��A�@��z
�����o�ookБ��aߑ��{�"�� 8�I�!�#�c	?������Nwuh�S
��
���	�py|�ZF��4�q�E�en4�c�k
-j�%� �M+�b����ς�VѲ�%���ި��
�i��?,�
-s�n_��#��ͨ��'�@{�Hy�dMϣ�p6��X������^�����endstream
+x��Y�o��_!��������5� nP)ǐ�$H��<ʪ%R剱���3;�{�ǣ%5m�p�~������>����'Z�޹����Vu�6��Qm�*Z�R�����b	��l^��x	�\]|���
|+��3����u�B�v675��ت�+����S����<҉�/��=��=�

�T��nyG3[���,v��lž����&��'8ӭhկJW<��4��u�����zbT��?�몬�:+2��1�x/l�����J�����֎x�ֆ5=6MX��&_
���0�gj�_������H�6�b�gw@��W1��@��Ѳ@j�Ŧ2����e��Ҥ�
-y��p��3�Z�{��/�lύ.+
���6�4
<VZ�Am�W����3��G�7l
+wd�n�	w���DA���_iSKC�M�[
�D>���
&�������s�B�����@<�֗�i�4+��Kz�~먋˱�h�_ ^�_���:=Rv�=�remu�L7��lp�^���	��&��D$u4��nQ�h��Ōl�N��Ԛ�T�{�3�#�س^E;�}
�
+h�Xv}?<k��V����U�u��u�ܘdD��TS�H�X�3�/�a���
�˩b��77�f�xwe��=
+[�ۻ��fqM����P���gp4M�t�;��Ʋk	cg4"V�5f��Ɓ'>/��5��M��Q��6�J�D�$}���~�����a���G�R?��c
�T����h}�y��JP��
+�x� 15��4
�2 \���KZEn><�Ew�fO�����vl��Bհށ��}���
+��%g�l�
-?����-�41��.X�g���34�l*Ͳ:c�
Ț)]�3A;[�m��)��L��t�M1����{����-kӲ�	T$k�BSn��m���G����8�
	P"(Ք��-`��+}^�2��*S��f3Eƕ>y��ǹv��2���Զ�C6�)ԥ!>�cT�9|�ն��z�pe~>H�c5XN	��hD)7�V^ ���}�泣��>'��2��#���F��I��
[x��σ��Q_�>F����{�x�����[j�DVG
{�:�f7��o�d;&7�n������'����Y`��B�97�4�"�_%���SX�Ѭ���-oyl	�Gn_&#
��'��
�H��#��ү���������ꈛ+�x�94Ug�ˢ�J��<�GD
�}'��^�4��
����d�
�^�y�
]��61�\p����t�fI���aWߡ��t�t����<�ѼƐr}'��b�5'��M�?0l����*�^�WZ��&/��RZ��z=�j/�(N�U�
`�x0V}ɷAL����!�;B��\^p����
�\'��Ru����)���·u<�_ZU6������G)��1~�#K�%�,H\jm�F�Z"3��=��*2�٠˂�+p6b+;U̙R�&P�+\��
�C0vz���)J��)qY�q���7����`�k*��C��c 4�M&c|��͡s�,Ղ>'TCqM�SŁG_&Eӵ��x�Tu)L
��d(����
K��w� ���!�Zn�;��tt��� ��;��M�
Q��Ax��(��<�Z���M� ��ܐk\� ��
+�7Y�̛�q%
YG����g���c�
�n'l�(4c5��)��ꨢ���Q-|l�����d��p]wJ�e���'ݡn�nL�?]��j)��a �i���
Z
+&���(��HBR
�K<nJ�IC��ܐR��� �4U�]0+�~�!"��)hG�KC �-�߳���J`?��ӫ�*�
U�l�A:t�1:����L��O��LKZ��D�0�K۶J����
�@�;�h�!�0N��5��z�mNܤt6�\p|�r2R�\�
*/�`�&7�]D��-�
w:���|��[�f�o.%k__���8[���1�%ӹp�\��w�?�(v
ş=�j\�W�D�yFY�SUr��tO�d}����NF��8���/�W�f��0в�
h��Y(\5��s
/&�.�R���Ĉ��XJF�WtG���WK�熧�L|�J�����?����K���
+���w�B�8snz� �Q�r�(��v��ǎ�&��>'{��ǣƉ7g�8�6� ��^B��(�����ұ���l!&�(�m�t���g9�/
MC
endstream
 endobj
-816 0 obj <<
+812 0 obj <<
 /Type /Page
-/Contents 817 0 R
-/Resources 815 0 R
+/Contents 813 0 R
+/Resources 811 0 R
 /MediaBox [0 0 612 792]
-/Parent 814 0 R
-/Annots [ 822 0 R 826 0 R 828 0 R ]
+/Parent 810 0 R
+/Annots [ 818 0 R 822 0 R 824 0 R ]
 >> endobj
-822 0 obj <<
+818 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [239.665 501.51 442.103 514.129]
+/Rect [247.023 501.472 456.997 514.015]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.gnu.org/licenses/gpl.txt)>>
 >> endobj
-826 0 obj <<
+822 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [411.637 322.252 425.336 334.871]
+/Rect [411.677 322.196 425.362 334.738]
 /Subtype /Link
 /A << /S /GoTo /D (Item.4) >>
 >> endobj
-828 0 obj <<
+824 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [175.172 204.341 394.255 218.288]
+/Rect [175.241 204.326 394.043 218.16]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.us.r-project.org/bin/macosx/)>>
 >> endobj
-818 0 obj <<
-/D [816 0 R /XYZ 72 720 null]
+814 0 obj <<
+/D [812 0 R /XYZ 72 720 null]
+>> endobj
+815 0 obj <<
+/D [812 0 R /XYZ 72 720 null]
+>> endobj
+816 0 obj <<
+/D [812 0 R /XYZ 72 676.689 null]
+>> endobj
+817 0 obj <<
+/D [812 0 R /XYZ 72 638.059 null]
 >> endobj
 819 0 obj <<
-/D [816 0 R /XYZ 72 720 null]
+/D [812 0 R /XYZ 72 434.74 null]
 >> endobj
 820 0 obj <<
-/D [816 0 R /XYZ 72 676.691 null]
+/D [812 0 R /XYZ 72 415.446 null]
 >> endobj
 821 0 obj <<
-/D [816 0 R /XYZ 72 638.061 null]
+/D [812 0 R /XYZ 72 342.258 null]
 >> endobj
-823 0 obj <<
-/D [816 0 R /XYZ 72 434.748 null]
+30 0 obj <<
+/D [812 0 R /XYZ 72 290.447 null]
 >> endobj
-824 0 obj <<
-/D [816 0 R /XYZ 72 415.466 null]
+823 0 obj <<
+/D [812 0 R /XYZ 72 234.883 null]
 >> endobj
 825 0 obj <<
-/D [816 0 R /XYZ 72 342.314 null]
+/D [812 0 R /XYZ 72 152.709 null]
 >> endobj
-30 0 obj <<
-/D [816 0 R /XYZ 72 290.484 null]
->> endobj
-827 0 obj <<
-/D [816 0 R /XYZ 72 234.893 null]
+826 0 obj <<
+/D [812 0 R /XYZ 72 121.289 null]
 >> endobj
-829 0 obj <<
-/D [816 0 R /XYZ 72 152.69 null]
->> endobj
-830 0 obj <<
-/D [816 0 R /XYZ 72 121.286 null]
->> endobj
-815 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F76 747 0 R /F32 668 0 R /F67 564 0 R >>
+811 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F142 743 0 R /F35 663 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-833 0 obj <<
-/Length 2052      
+829 0 obj <<
+/Length 2032      
 /Filter /FlateDecode
 >>
 stream
-x���n�F�� �⾸hǨ�qR8F��)
-Z
K�P�JRv�C��o���8��腜�7�۷��g^4q];
�����u"�s�I�$��R����	�l��ߝ̓Ա~�%��fsߋ�Z-���0w�2���j�x��-�3/��
C�6�{�
�x��x
P�Z�rߌ�q��l#
����eq;�=�N\w2�`�M��f��
���ӻz��"E��v
��|���%|V����-}s�;������� ��W틩� 8q&s7�� bSh�r]���w;W
-o@��
>���G��
%aX�ɘK4�+�gU+#���Lx]��\�A�4�J5G<ݕ1�i���|��P���{�^W��A����������1q"��ځw4\�b%�uR��.3��EDUq�b�j��=‚�(T��j�$"�I�pa@^��#�JE��<3/�( i�DeK�q��l�y��a�ʕ";�zq�2׷:߱r�2c%
�,��7���O
7Pܩ�;n��2�de�+���c�aT'
j�#�e��
-2T�K�"�'ݜ�Ɇ�
-��k��G�M?���"@mL�~�v�(V�_�����
>���
xK�#Z�� �$����է���qD�S��

}� �P��ϫ���X�0X�f
|�'��O���V՗D:й�R�
.�-��
Ҿ\��j~��q�V���o�q�q���&k�yͅX�r�W�A�@>�O��׽�;wE���"g�$�˒�ޥy�k�j,ۊlp͞o]���Go���n4sCn�۱���^�(����Y��V
� �Jz����'4
C�fW���V�r,�ql"��@�R
�&�IpEY�f�R5$:
 c!7 �9��� 2��>�j��%Y���-�ڱ��Q�^~U���a���p� �
��x©	
��ʨ��w���w���!�_�B [)m�� �M�ĺ���ZN���l��BՐ]�R| m�Dj�~��ms&��T�a��F�apE�*”RuM�k�ߋ�}�����ux��u85-�jU��8
��a��Kf��֥��
�~���r=��}N�����Ӂ�`��֒m��,=�Rկ�>�}LqrGw���}V#�a�J������M]mxtzq��
���}z�ˉf�ㅑ�F�x*�5���zqkn�d3&d�1'-YXƿeEZ�~��R��DJ�-%oK%��v��x���Ѩ�[1MT爊&��u��F
A�XRD�4Q�g
-�(�8������j��Gr��&s�8��KJ֭Ў�kꆗ&�ƅ3�񐥋��P��������NyK�'kX��It�@���P��c)�a��0�#N��	�l�E�N=~�`�"DO�[w<��!�g*�SI��4�� r:������1
�E!�gb�p~�����<߯	�����o���}r���T�#r�>���Aoei-�OC�Q���cEɘq^(�h���*d_���9
�Ш4�)Wr���1� s4�!�Ajy���# �����l��(
&0�L"t6K��H������:�T<�8
�vx�d��s�
Tu4t��(�^�����>�
~
�)G]˅=3�#b�kh��V$'��iu)Xa�3�@���
�0�e��Id���@�/�$R�>Hk�����9�G&M��Hx�e޵ ܨ7;���0!NQg�� ��*�%X+��V��
-�y�����4�%�T���Gr,Uot9�Ld�fۚ}��%
-�&ɩq.
�h�D=��گ��`��c�L3��Y�T��@N�L?82��]+�
5h�K�@m
/t*Y�H��-e��i
Sj�s�!�O�r?� �R;r�oP�@<Nb賦#B��3��l

�&hO���P]
[
�0�f�C�u���i�I[MZv�&%��Q
�t�Z�y���Y��mT��02~��(��(0i������J��
�Y����܈@�0���{Z��>p�l���B����h[ax�@�R����$�8��h�D˳
O87��D�;9Bp���;�/���~����-���}���Q2�}�k{~
-���P��cn���|��|��	endstream
+x��ko�6�{�`�
Ԋ��#���Rth�!
:��0���Kb�r�&��w�;��,'��C>Ȗ������ɓ�CY
�H+c'����T*5(�2�4
MK�g&�d
���H�U�˰I=
)�'+��'
��৾��)Κd
�g�~MC7CY&E�͚�W
�^��+�� �M�����r8j���'?�

+���,-J3I������4��h��'��xE�wx�5?Kx������?�3���,#ʏ����k~�b<�<vθNy��mx�1Ü3�c�Ѫd��Щ�yȤ����p��xF���v�$����E��za������%��Z
P�Q��
ʢ��2�m��n�1#���+;��n&�q4�,K�
�a�ՂW�n�%ς֟x�u�L׬�[���Q2Z��T�"Їȁ��Q�t���b����j���ZgvhӢ �~t~4'���@�Z�w���d���\�pI]{0
�yƶi��u' ��
c��
rm�����7�y��N.�Y�@�
7�Ѣ�0�e��N!�`�gB[���bm��X��`�̆��`���]�>G�£��EGk�x���;O�``?��?�����;��.��`�>��������࿻�qs?a�2����-<���g}?nnoY��G�i��.�_3a�����*���\qP���R-$�A�/��&UJgY���*j$�(��'����91Su$��M���w�`�]§�b
Ԍ� J���*yW{�ڽ��q�,���3aT��Ud�!+P�-��c��۪�`��\�SSgז
qdag�Z��U� ƾF�OW��/�|�F�V��I���-�y�.�p��d�d-<w���~5\2�Q�q�=�)�WA��J�,�꫙'��`V�&j4�<�I����QQF5aQX\�T�~h���/=:P7�\������ۊc\�.
+bd�"99�1�e��
�u���e'�M-Y(W�Z����v�SF��(��h�lM�P�o]���a����i�f�J
?C�ŵ��;�ʮ�5�X�l�7f�!("�m�Gl����T�Ez��=��2UJFR<:8:蘷M<:�Ʉ�+�x�F~$`]+�4Q^��m�2��B�@��5
8:����u3g��}�	`�U���o�k�'u��7�<���3CT +�������)�ɋ�� v�}C5��	Eǖ>�ʒ��}��$1�9��t�'���]e`�o:�6�e6Y"��C�)�,35ڙ��
���h�
:�-Ef`���X!���]�g";j"�Uh�!�K2|��Bn͂���~��@ڇ��9Ņ�0/7r���
:�q��C��2-��Uc��}t?v1�o��˰>@�e�K
��̄کLT����$�=�c�汽 %���s�
xWشŀզ���f׭T�̨����!$�"�0��T[s��%�=���ڏ���v�9UE�U�C�2(��[��CYٌ}ǔ"�PP�tO [...]
+��e���|��(G����ܴ�#��DN��? [+Ҫ�/N>��D�NB�=���|��Wb|��v���7�ؼ�s�k
{��6�wtLSĮ��^��BAṙn���Ѫ5�M�����Gp��Y�K�@�f^0�����9u13���)���-G"Sn��-y.s�)ۊ�?�0	
�L�����fܭ�-�,ʟ�"�-Ƌ����}�<��y���x��
G�LeI�
+����Ǔ'� e�z�endstream
 endobj
-832 0 obj <<
+828 0 obj <<
 /Type /Page
-/Contents 833 0 R
-/Resources 831 0 R
+/Contents 829 0 R
+/Resources 827 0 R
 /MediaBox [0 0 612 792]
-/Parent 814 0 R
-/Annots [ 839 0 R 840 0 R ]
+/Parent 810 0 R
+/Annots [ 835 0 R 836 0 R ]
 >> endobj
-839 0 obj <<
+835 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [179.824 399.867 266.716 412.486]
+/Rect [179.868 399.873 266.729 412.415]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/src/contrib/)>>
 >> endobj
-840 0 obj <<
+836 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [501.132 385.421 537.745 398.041]
+/Rect [501.154 385.427 537.756 397.97]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org/src/contrib/PACKAGES.html)>>
 >> endobj
-834 0 obj <<
-/D [832 0 R /XYZ 72 720 null]
+830 0 obj <<
+/D [828 0 R /XYZ 72 720 null]
 >> endobj
-835 0 obj <<
-/D [832 0 R /XYZ 72 720 null]
+831 0 obj <<
+/D [828 0 R /XYZ 72 720 null]
 >> endobj
-836 0 obj <<
-/D [832 0 R /XYZ 72 644.284 null]
+832 0 obj <<
+/D [828 0 R /XYZ 72 644.284 null]
 >> endobj
-837 0 obj <<
-/D [832 0 R /XYZ 72 451.673 null]
+833 0 obj <<
+/D [828 0 R /XYZ 72 451.678 null]
 >> endobj
-838 0 obj <<
-/D [832 0 R /XYZ 72 415.309 null]
+834 0 obj <<
+/D [828 0 R /XYZ 72 415.315 null]
 >> endobj
-841 0 obj <<
-/D [832 0 R /XYZ 72 369.149 null]
+837 0 obj <<
+/D [828 0 R /XYZ 72 369.152 null]
 >> endobj
-842 0 obj <<
-/D [832 0 R /XYZ 72 338.099 null]
+838 0 obj <<
+/D [828 0 R /XYZ 72 338.104 null]
 >> endobj
-843 0 obj <<
-/D [832 0 R /XYZ 72 289.78 null]
+839 0 obj <<
+/D [828 0 R /XYZ 72 289.785 null]
 >> endobj
-844 0 obj <<
-/D [832 0 R /XYZ 72 265.205 null]
+840 0 obj <<
+/D [828 0 R /XYZ 72 265.205 null]
 >> endobj
-845 0 obj <<
-/D [832 0 R /XYZ 72 189.822 null]
+841 0 obj <<
+/D [828 0 R /XYZ 72 189.824 null]
 >> endobj
-846 0 obj <<
-/D [832 0 R /XYZ 72 153.79 null]
+842 0 obj <<
+/D [828 0 R /XYZ 72 153.795 null]
 >> endobj
-831 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+827 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-849 0 obj <<
-/Length 1899      
+845 0 obj <<
+/Length 1864      
 /Filter /FlateDecode
 >>
 stream
-x��XIo�F��WF`R
�
�N�)����n����T��Q��}�P�,'E��
g�������S/:R�I�����H����n�L�XE�����e�4��
��M�\�r:�B��t3SV�uō.�|frw:��ʙ�����μت�\���Zg3/�Y�ֺ�ٰ��2�����v�˒�3[�Z��U��o2�wE]�2N�ڙف����ij�W2�<��x�]��>A>�l!�V�1Po�8��{��
�7�;b=
��
����ZhV�� NA�Q$��n|#&ꪜ��r�t+Y��˲F�n�j�keQ�ȱ�
}�
�[>3�?��D��fv����C��4�?@���О�q�@N�f��ؔ�Y<u�E;�
7��S'�a4t�(Q�Zo�
թc�΅� �ۃ`�G���;��Vu�uTtd{�FLd�Ȭ��e
h5R�|�:|r�C�s�� mQA�tV(R|������9���vKܺ��m��8�CK����%j��\� E�.5a����{ �����I [...]
-��Y�s�!�x���ܴ{����Xg
�}ţ��F�L�Y���ՎX
8�)��O������D.�ސ�e
���a\C����ͱ8wā����p��!�j�(�
%�`w��T��h.I�IMQ�'x
�J��zğ��h,/h�1ִ���l�7{�es��ԡ+{��	:>�2���K��@rpL ��ro��I��F#��:��㓱;
-q䓧�b.>y:�� |ͳӗ�O������D:ҹo�7���UA��-��R�{$��������]��"z�ƈVܽ���$F�IJ_�H�-�x�
�2;�]�ښW���p07Iz���Ѡ��^�v�|1�
z���}ob������U����}�ݼ������$|
�}�5���]�X�w1S^�T
b�0:�	j P�X
�c1|i��J�F7<�!N�
����
-'�C��r�]<� ����s�%�����0������q��
�n}�
�IJ&��Fƛ6�8Mq�ْ���1�~�����nj*��5�B�?��c0%�ʝ&��d	H�GEf�
����1�$u�ĔK�qHH�td�
��}5�
-�
y��3��� ������^.!��eh5�[g�-2� �O��P����(�^դ,���Y���Ԩ,$��-�d}G at B&�`�'iߎ�����k�{7�i%���Xژg6�ѱ�U�a:1�K���Kr�͋�k����
&�����!g~�y�����@W� ��<�+N�W%(2�_
]�i�p��	�MK�&n�SOY��dd^N�.����X(b��h��,�"�
E; ��
6���z����^d�)4M�l
������L�@��w
j�{�:��=S��r��!���5E2o��I��'�&`��Q1k��
���3�T����sO0�����rT^�~G�4#�z�%�!�V�%�={�<R��
 �X
�P�p	��,��>�0�
c���$���.5�D��OHA�u�^Z�n��
�_��-@����
�F\;�<c���K%���=�о{��|��K�)
q8*`A�^�8�A�4o�*��2�>ߋ�*��]
��R������&R���ˏS'�E{��'���I0���_c�|&�
m�����ұ����J:P��]��b`_
6x�2�pi�J��W�5��EUY���'�?<��}]G
Q.����`q�W�-١�˜2�R��:QR�?�w���FKLx#�iW�F�8���#��绿EWRi��_�EB��$���:�Rl�!�=8�x�f�>>endstream
+x��Y�o�6�_{���)�@�[�u��!M7��0��u�̒�:��w�;R'[vW,�>Ж�����NO�

=5Ł֪H����
�*�Ӄ,�Ud�k���r����g?
=���	�J2s!��Ф�YS-�z>n.o�ٚ&uIi?��p�|�
�|��y+����q����=���p�'���5Q��z�$�z
+��
~fDT:�9�����w��2z�0S"�)L�Tj8�q4x:�
��2c�|�8��[Kk��?��#m��)���\�@�[�$���&�%V�e�P����Ц,Nك�MU����Sd����F��^f���
�<C�`Ϸ�<��&�L�U=�d�#��<��YL�T@�Q�
���(���
�����О@{�1�Ch�@��Kh?C;�v���W��_��)����
��9�FE�3҅�&gX�����%/p����<�-��7��_�t���Ӡm15zI��^�M�t
�5У3��m͜W�|4j��9�4����#v��B�(h���F<Ox�����>��
��|k��7>�<��j��e,�>���oz6�nh?b
;z�}���@-� ��\X7+xC߷C��
�;��U]��aU�!��lF��y�ߓ���[
�H����]E����^�ͲnD�t�� <,�$��cd��'C�8�1��K)���$ѵ
�N���;��������
,M���ґ�bŝ��)��J����ٵM
���N��)u��;O��C����ϣ�Z�53FF�	E���\��ZX�G���45�2���1g�\��%L�CS
=A��7�s�V~
+4��4Gĩ>>�@�
����
�?�z\|,ݣ���N�oN�2�O>��%��ɾn]�
+��c���-�
�v��KZ��-��7Vr(����שp1���������A�s�dV%y�yN���5M�2�1�߾O
+�ġ�k^���1�m�
l
 4e���
��b��~f��������K^>
���h�i
� r0*r��;��YUu>f�f|������~��f&�״�F�V�4	܃=�%Uas����r[��*�6��`]���Aq�%f��b�u�u��NS-��*/�y"!AW�4VE�M�w]{�V[�ɳ��i���v� �
�4d���c�W��1^�����m݋i}z�
LEǙ���
Aި�
YEEG>
a~
���V
o���&YD��-�����سfor۞��|aޖ��'Z� @~�W)�.�m�v3wo�b!�7n�8
Fl~&S��
�[�ձXSV�lg����j������v�=�
���޺��H �
`!"<��H zҜ�-R�#fM%�mK�%���L%�VE��i���k �n�~���Ƥ���6��d�	���x��eP
+R��bֳ��H��c��������̣ɖcdX���y#��	Y[(Mv�J�7u՝�w�m1V����Y(֖c�/���;eml��4va����e*/v��<��v���#+���桄KնS[�p��p��Z�$F��(c�?�˹��������w,ܨ"s6��)
+������	�����[��m��:ĸx���#�
��D���f���
M�f�=��"�Z焗e�}%�PM�]�=m���Ƃ�Vc
�b�b�]?)��q܍��4-�\�+��M*�<��w�7R0�8�K��+Qm�<7�.p�
k�ŭ
:Y��Q�
+���ᔔ�
+߷� N��%��'|?J�"��툰��8�``E�PT��_�+!,n|�I�r3]��ωv>���'�pV[I<
=jq��g�{˕�*
�*�[s#�aX���zo=rٞB�D
a�B�*�
�
{��ׅ�
t>m�/7︢,��
$cy�N�(R��C�K�������Tendstream
 endobj
-848 0 obj <<
+844 0 obj <<
 /Type /Page
-/Contents 849 0 R
-/Resources 847 0 R
+/Contents 845 0 R
+/Resources 843 0 R
 /MediaBox [0 0 612 792]
-/Parent 814 0 R
-/Annots [ 854 0 R 858 0 R ]
+/Parent 810 0 R
+/Annots [ 850 0 R 854 0 R ]
 >> endobj
-854 0 obj <<
+850 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [239.665 349.058 442.103 361.677]
+/Rect [239.71 349.063 442.204 361.606]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.gnu.org/licenses/gpl.txt)>>
 >> endobj
-858 0 obj <<
+854 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [261.356 169.191 278.306 181.81]
+/Rect [261.1 169.228 278.025 181.771]
 /Subtype /Link
 /A << /S /GoTo /D (section*.9) >>
 >> endobj
-850 0 obj <<
-/D [848 0 R /XYZ 72 720 null]
+846 0 obj <<
+/D [844 0 R /XYZ 72 720 null]
 >> endobj
-851 0 obj <<
-/D [848 0 R /XYZ 72 720 null]
+847 0 obj <<
+/D [844 0 R /XYZ 72 720 null]
 >> endobj
-852 0 obj <<
-/D [848 0 R /XYZ 72 671.515 null]
+848 0 obj <<
+/D [844 0 R /XYZ 72 671.518 null]
 >> endobj
-853 0 obj <<
-/D [848 0 R /XYZ 72 593.474 null]
+849 0 obj <<
+/D [844 0 R /XYZ 72 593.474 null]
 >> endobj
-855 0 obj <<
-/D [848 0 R /XYZ 72 296.712 null]
+851 0 obj <<
+/D [844 0 R /XYZ 72 296.75 null]
 >> endobj
-856 0 obj <<
-/D [848 0 R /XYZ 72 277.285 null]
+852 0 obj <<
+/D [844 0 R /XYZ 72 277.323 null]
 >> endobj
-857 0 obj <<
-/D [848 0 R /XYZ 72 218.174 null]
+853 0 obj <<
+/D [844 0 R /XYZ 72 218.208 null]
 >> endobj
-847 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R /F70 642 0 R /F67 564 0 R >>
+843 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-861 0 obj <<
-/Length 2021      
+857 0 obj <<
+/Length 2052      
 /Filter /FlateDecode
 >>
 stream
-xڍXm�����_q0��=._%	`'
r�q�+��.JܓXS�LRw'�o�<3C�:�u��������z{����$���	l|uw�W��0~D��_^`f�
gsk���'��7���ayY���wE5
�w|�����B͚e����y��`!�n��#YY�oQm��J�ɳ{��D
��fA��9}��N���`i�eD�px���$�B����,^�s �^�}Qe��MM���,?����+6�`'����pS8k�D#�S����wd#K�H���%����lE]�4VOԢE�m���]�Rid�a�^V�QZ��@2r�4���62Q��PY-}�S�p��i"ɒ}�
91���},���0N<We$��'��͏��f�~���
�ws/;E��V�[AC���D�IB�
4����
b�  *��$[�����
�j��X?P�IhS�e
a:ظ,�g.XN cm�e��h���W2�z ��,
�
�u5}�
�q�i潑�J(;S-��x(�cV��O�)O�ٸ�G�v�,v����A�х���
8$3o�<�aM ��y�
�A�(�(8�L��?GZ�M8
�R�0���(�:�-IR�����5���?h�s�nכuB�CCV+��ʯ`���gOR��4;�"���g�d��@��.�N��x�@��g���~^��Hjк-:�d2f�)�t}���֥w8(�'����P-L�l�&��L�N������
qvՓ`�Q��:啴��l�I�E�(r�<+���l(y_+�g.��$�����B�
:�"�l���5��C���R1�6caJ����
G9��J��j�ijznq�}�d�Lz��=��NY�E����G�F�n�1@���o}b������
�3�����[#G~�-�'±��`ng����h/.�
{ �	8F6��cUq�`�g=����HN�R���$JN��>��=
-C�{[	9�SO5�84Iڷ�
�t�y}}��
R at QH4sP�N���}����z]@�k�Jw
A%@1z��hpab�C�Ӧ[�H/#���
d(�`(�s��범Б죐J�~/±���/ 2����a�y=a�	��@��F^#���
����"k��<�Q#�X�[
���`s�Ò[&H�yh�M��$������
�r����<�4
�]%x��
�"������B�y" ̦q}:�	�Dګ+z#��Jw�5\s�u^44DԒƔw�%�4��=���;
��e;�
�E[O�����a����QC
-�c���b���� �K'�_4O�
L8c��0�-&���A�'�k0ZV�RmkY�%����h���i�9�d�V���vj���������^ .�;�@�c�c�ŗ�)�uz�
9����6��B����ln��x�\�[��8��p6L5�Lr�K�@��ԔUKj����	}�P�
R�3h�ȯ)
�b��n��7��碒r^F�!��h��V#�]���92�t�'��"lƕp�Jͭ?���.�uj�i���_P��-�guͥe��$�tU9W�۾m�<ȍ�%��F�-U���zԽA(�J���Vm{��$k�U>��pdV|U���
�ic�7¬ܦ��]��������#��,/̋�\�?������D�	O�T�����Z*�I��pڻ��? (ɽɐ�}�����xA
�IFi��p�h�'����W׹��Ydž'm�'������@��Uc�sO�Ah�8y6T���������$�������?���8k9V%k�/��g��8w��U��=-H�q#i�%�GS��i�v� {H
���D�%��&
-�!J�"j�;Y
���w������[
z!F��$6l��`�s�O���<�n?�C�����~��
!J�c_ ������1�O/Gs<��*���L�:��?8P�����~=[�·û��
QU��h���k�j
��m��k���J^�m;�=���m*��6�n�j��5@�7�H2Gwla3�R�ڀ�H�0�Nw6�֋�ݽ�/
j�endstream
+xڭkkG�{~�	N�o�w����)�م6M)��,��%U'�q>�wfgvw�tRj臓�9�羹zv�V��L�8U���͙N�tR�I���(
�(�/��J��_���_G�L�����E�
�
��2�?�������.
��l��qZ�>�Yu�!-�3P�aBpҺ&�U�
��Q��G���e�i)n�u��.�!�u\f�����qZe��~�n����j)7�����l<��I����oΐ�[�K�
i� ���yԈ�d
$Zj�ۋ��FD�-
d�Ե�
���;�[��k{��“7D��xq�R 9���QQ��\
_󸍑\Ц.b���U
�yiey	�z�χ�qV0����
��2���
+�a�o���Љ�5�
�`�t�%����gw�7$�"K�w7t�vݰ�C�����Ecx	��B���m��h��X�Z�~���rcI^���L�QN	<V*��'(�>��8K
+�5t^��S步�:N%[
����"�2;�e&y4#��ʅ�Y�������j�L2�O����
	���ZG�1�%�9	�x(yR
�0��x�G��Bb8�LȺG�[H6$���B�,�d�ᰩ
`��F�L��p���':0���a��I����C1Z��*4v97�0�S=s,
:C�#�
C��+��f�

��vQn�5^�
�&���ʙ\)��&0~}AJ�:` t����r�C���ln���Qߴz%I�Q��b�!�$��ͬ�5Al�>,��/
7k��&��֛��
��Ԓ���eO��GIcJ�i[O��P{��D���n֞ԉ�c0���u����2`�S����0��K:_�kpab����
EN�W�A�fY
��8|�X����@QR��@����WY`�0���d�#
n*
+�*7Z�%Ӗb$B����+ [�U ��p\�ߍ/�`���@�]Ĵ�v?��_R��1�3+���$hi��i�S�i�<�B��S6D�AR��4z�o���+�J�nz^{c}�z�!�~C�b�ŕ�{n؎��
+�s�f"Įؤq>���2l�
[�X��
M*��k>�DJt)N�G��^�qUZ&��,T\%�vev2o�=�qYY���t�l=AF5p��-��d�z;�����p׀�P�!��*NeĆ� �c��niib�\c���u��i���y��<���l�)h˲���}�Yq����ޛ��}KM���&5���
UX��!SƘX��`8�ڼ�󘧴��5�U��Zݦ�`�0���v�L֬���:��:���%RՈ��K�z �[Q9��e'��*�nE��ֻ��NT�u�X��l��r�Lc��d�{��M�XN�BcQ�ȟY�&�,D�C�Sh
��
�Ɣ�O��n�N��[κI��J�RWR8d������a�f Yi'�Ѷ �ɨ2�w牝�<��k��)\2�@�V@ ��_v<���#�5p�I���'����dI����?�t��&<>1Gg��*�^�V��F����ޯ���pq�}%d����ť��L2VI�D9�s	b�$*�--��
Xz���r��.����	���˩f-e;��f [...]
ۖ �.����̽�8�@�5RK��l�Rԝ[o'�c8<�'����X&W��[RR'^k��<����9St�;�s|�F��<ߋq���x�D8_xM��sw�~�6�\����63y���
y�����R���,0gf��x
hݕ.����Bn�n� �����`�����{b�DU������K����b��_;[���E,ů�fQD�����%�w��p��_=[�endstream
 endobj
-860 0 obj <<
+856 0 obj <<
 /Type /Page
-/Contents 861 0 R
-/Resources 859 0 R
+/Contents 857 0 R
+/Resources 855 0 R
 /MediaBox [0 0 612 792]
-/Parent 814 0 R
-/Annots [ 864 0 R 867 0 R 868 0 R 871 0 R ]
+/Parent 810 0 R
+/Annots [ 860 0 R 863 0 R 864 0 R 867 0 R ]
 >> endobj
-864 0 obj <<
+860 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [346.544 598.489 383.157 611.108]
+/Rect [346.674 598.52 383.276 611.063]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org)>>
 >> endobj
-867 0 obj <<
+863 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [353.948 503.014 540.996 515.965]
+/Rect [354.158 503.042 540.996 515.985]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org/bin/linux/)>>
 >> endobj
-868 0 obj <<
+864 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [100.269 490.228 139.173 501.519]
+/Rect [100.269 490.258 139.131 501.539]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org/bin/linux/)>>
 >> endobj
-871 0 obj <<
+867 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [237.156 382.258 254.106 394.878]
+/Rect [237.167 382.321 254.092 394.864]
 /Subtype /Link
 /A << /S /GoTo /D (section*.12) >>
 >> endobj
-862 0 obj <<
-/D [860 0 R /XYZ 72 720 null]
+858 0 obj <<
+/D [856 0 R /XYZ 72 720 null]
 >> endobj
 34 0 obj <<
-/D [860 0 R /XYZ 72 720 null]
+/D [856 0 R /XYZ 72 720 null]
 >> endobj
-863 0 obj <<
-/D [860 0 R /XYZ 72 671.714 null]
+859 0 obj <<
+/D [856 0 R /XYZ 72 671.745 null]
+>> endobj
+861 0 obj <<
+/D [856 0 R /XYZ 72 562.654 null]
+>> endobj
+862 0 obj <<
+/D [856 0 R /XYZ 72 538.246 null]
 >> endobj
 865 0 obj <<
-/D [860 0 R /XYZ 72 562.623 null]
+/D [856 0 R /XYZ 72 486.273 null]
 >> endobj
 866 0 obj <<
-/D [860 0 R /XYZ 72 538.215 null]
+/D [856 0 R /XYZ 72 412.209 null]
+>> endobj
+868 0 obj <<
+/D [856 0 R /XYZ 72 297.639 null]
 >> endobj
 869 0 obj <<
-/D [860 0 R /XYZ 72 486.243 null]
+/D [856 0 R /XYZ 72 270.74 null]
 >> endobj
 870 0 obj <<
-/D [860 0 R /XYZ 72 412.146 null]
->> endobj
-872 0 obj <<
-/D [860 0 R /XYZ 72 297.576 null]
->> endobj
-873 0 obj <<
-/D [860 0 R /XYZ 72 270.677 null]
->> endobj
-874 0 obj <<
-/D [860 0 R /XYZ 72 192.968 null]
+/D [856 0 R /XYZ 72 193.031 null]
 >> endobj
-859 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+855 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-877 0 obj <<
-/Length 1751      
+873 0 obj <<
+/Length 1549      
 /Filter /FlateDecode
 >>
 stream
-x��Xmo�6��_a 1C�P/6 u��E\li�i�B��X�,y�
���߾{�dɱ��i�}��#y<
�{�����3�훦��_���t����'}!
M�勒4�`���q�Vq����4�ہ�q���q<ڎclP���
-�M#
-3�H#
X�A
�dʢj
sg��Ȓ���,��L�d�gm��de�i� ar��z�|�

�-Y��P5�p��oIa�����q�ːV~(eԻ� (�eX�kX�A�a6�N��}#��ن� !:�<4�J�Kr��	Zqr�ɖ�eh�‘6���`�L��t�m�B#�t�OhYY��@����ڛ#h�q�2pM2a]����
�N4'z�4
-:�W�5���v��>��Ќ�#h���,�Hwm��/�&Ԭm�f�M���A�Oq�^��(m
�@O�
��b�+�1o�y~:�s��ɿvE����WT�2�4�x�h�#æ�ڗ<�g���`Ջw���5;Ɋ+�[x<K2H�!�" ��'�M�	/0�NTGW��K�ghJ�C�r��4�T#V��f��
��B�0M�8BTE0ʋ��9�$z%���-��>+����݈%/o�ꀗk0�H��<)�p�‡
���)��A������B��d�}�Ay���]�E�]t��H:Rx&^�-���`��e���7t��)�:�N ��)U�@�RI8�(Ly���y]V�s���JHX��N��A5�W8���	O�d��6�@A�rP}OzKŞK��ѫ)
kcc���[��@ğ��2��Qt[�~�B�7�ݷIA�|oc4�	�T��E�:_:g�������	��/{�r0�oہ���w>�~����{�A��=�ٓ����@
 �=[�����^��lT
k]Ö��H���v�^��f�� ���Z����בj���mp�/�j�n��g9��3"���C�
�m.U�P���*��q�c3
-;
x�%��7+��}=:QL\.��Ic :�����Y�Z�����5�����1�4
��`��8c�l�ާc���	�F���ĩ��:a^�'��`�.�)��Y�x����M:8g���y�F�!����0�u@}Y�qv�ũ_��پ��[v-}�WW{��t�%묭���>Ѫ(j�KV�X�g!G%�Z<?���0��E�s���T�C
�K��eu\�1�.4�t�xX� �۸�
�
~��ϸ�Y���%��
�s�B�!D!��n@��� |���&Ҏ����*��|�-��
�����r
-ߏ��
-�&�+
����>?����Q~�����p�e��5]��F󇺽XԡѰ:�~����"}P���6���
�d4���F?�Y���G� /�z(���"�1�Տ����t��q���Ϲ��	(簽�͑xM:�2��3>�IY�dEL
Pu5
�+�E�PE|�F��Y��(��I
-��ϓ(�ѩ�6TV���(�'N!>kA�� �Q��g}�1��3��� �R]����K�ĸ�r9��% �2
ѡ_��~��23ő�������t��^�3�@�e���_���)Q_.�z�0B����Bʲ���QU�*>�2��,�y?��C�N�ߨ�E�¦�}��5��f~'g���
��C�ؒ*(N|�ֆ�ۤL�D�F����餉�x[��~�trK���]]�k�W\��/[�������ISh�5��8���0�i
&a��}���1Z7YY����V;htѐXV�}ƍ&+O4�;D�@�>����/� h�+�endstream
+x��kOG�;�ªɖ�r��ګ�J��PEL��"c���1�Ά��흙���=0-J�a���켟����֮�:R�,�;�IG��i�I-���v?qГ���^?�Yw{�
Xy氆�1�u�S��#�MO��f�F�a�6��
uGC�
+�!܆�+
�8�Q�!
|���=�)Kvʿ��9���v��\;A�7��Q.��/U���l���
���.{}���������MGB�Y�/#E	���{qܭ�����-Hᨑ��œU��������M�s pu��
+��m�/�#D�3���+U�I��+)� "!��c֔��KL��.$�B:�0w��~�����aNy�P��'��� _am1�#~��k%�_����x�{z�`�8�ͫ߿�#��1�}����k����I�K}a]��)�x�^w͌�8}=��w�f��r�EڨʔlC/�2���Duyש�N�:
�}�l�U�1Ebؖ�e��v"husɒ��L�ތ0��
gB�|
dT�:���r�DO{gL弾1f�$�h� ESDSΨ.EL[���R�yk�K�"̴g����_Zg|�4,^O+��3V��n>�5��MCV�-�-��f��
ی�#���
Q�����@$�VC�3���>�?���#3����U7�<|{̂�ʳ^
�*�7
YA tT�ۈ���+�֐�[�ƀD#��ɡI8�1�&�&[�,%�I�a�ח�C�ӪK�@҆�
:O�d�P+��Q��f��
���
֓.Z��4�W�bm�|��6O�+�|k�:��W�
+"W"
u�	�>�װ^�zۢ�f�$��	��P�r��"�^�=�<�I�_ϙ3'�T�% �Z�
��`N8�٪5�iE%Qwb\��m��l�'E�WiE~��9
L9R+��H�*��
+�dY]�
A�!���M3똊�T�����Ƹ#�����=�wK�pO끫�h�>_.8��I�e�*kuU��;�4ۇ�][�e���v�
�-s��Ik<K�C���
n�o�I��S'F9�7�
-9<
+'�8xl�/
A-I�`�:J^�*�J��+�Ee�©җ��M���n;2�RRUJ_
ܪ��4QG�ǎL��+F�!E���3ߧE�m��)�,����R[��̭��}��s��
Ϟ���@�p
�ypG����}C˚<��]3�0�#u���y�����Q���מ��5
	L���~:
+S�X�`X���fZ[����a-
}-�a�-c^�=�K\{�����m�抍п/����A��W�UR����Z�6��N{
+��d������(��d*���p�:���P{?2����*���^��L�*��Z�,-id���FF��
6�M��6��;�ٳj��q�zϱ9��W�LaF��s��8X�N��ǖH��^���
�el�p�jky%P	�;�0{�%�BeB*Zk�<6
eq���
:�
��v{QB�i�C�ūd�F�=�5�
�O(nm�6�ϗU�;vG?��.�Fp�e
YK��B��6�f�>��Ujk~��
�
y�1j}�`p���&�Ph��вʤ(o���
6���e"endstream
 endobj
-876 0 obj <<
+872 0 obj <<
 /Type /Page
-/Contents 877 0 R
-/Resources 875 0 R
+/Contents 873 0 R
+/Resources 871 0 R
 /MediaBox [0 0 612 792]
-/Parent 814 0 R
-/Annots [ 884 0 R 885 0 R 888 0 R ]
+/Parent 810 0 R
+/Annots [ 880 0 R 881 0 R 884 0 R ]
 >> endobj
-884 0 obj <<
+880 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [363.837 436.185 431.11 450.132]
+/Rect [363.842 436.174 431.076 450.008]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/R/CRAN/src/contrib/)>>
 >> endobj
-885 0 obj <<
+881 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [423.996 421.739 460.608 435.687]
+/Rect [423.643 421.728 460.246 435.562]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org/src/contrib/PACKAGES.html)>>
 >> endobj
-888 0 obj <<
+884 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [239.665 205.87 442.103 218.489]
+/Rect [239.71 205.851 442.204 218.394]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.gnu.org/licenses/gpl.txt)>>
 >> endobj
-878 0 obj <<
-/D [876 0 R /XYZ 72 720 null]
+874 0 obj <<
+/D [872 0 R /XYZ 72 720 null]
 >> endobj
-879 0 obj <<
-/D [876 0 R /XYZ 72 720 null]
+875 0 obj <<
+/D [872 0 R /XYZ 72 720 null]
 >> endobj
-880 0 obj <<
-/D [876 0 R /XYZ 72 578.141 null]
+876 0 obj <<
+/D [872 0 R /XYZ 72 578.142 null]
 >> endobj
-881 0 obj <<
-/D [876 0 R /XYZ 72 514.266 null]
+877 0 obj <<
+/D [872 0 R /XYZ 72 514.264 null]
 >> endobj
-882 0 obj <<
-/D [876 0 R /XYZ 72 487.882 null]
+878 0 obj <<
+/D [872 0 R /XYZ 72 487.879 null]
 >> endobj
-883 0 obj <<
-/D [876 0 R /XYZ 72 453.86 null]
+879 0 obj <<
+/D [872 0 R /XYZ 72 453.85 null]
 >> endobj
-886 0 obj <<
-/D [876 0 R /XYZ 72 420.502 null]
+882 0 obj <<
+/D [872 0 R /XYZ 72 420.491 null]
 >> endobj
-887 0 obj <<
-/D [876 0 R /XYZ 72 291.354 null]
+883 0 obj <<
+/D [872 0 R /XYZ 72 291.343 null]
 >> endobj
-889 0 obj <<
-/D [876 0 R /XYZ 72 139.345 null]
+885 0 obj <<
+/D [872 0 R /XYZ 72 139.357 null]
 >> endobj
-890 0 obj <<
-/D [876 0 R /XYZ 72 118.733 null]
+886 0 obj <<
+/D [872 0 R /XYZ 72 118.739 null]
 >> endobj
-875 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+871 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-893 0 obj <<
-/Length 949       
+889 0 obj <<
+/Length 967       
 /Filter /FlateDecode
 >>
 stream
-x�uU]��6
}��"�20�Z��
�؀a@X�=8���׶�Yv��xH9�m�[ER���z�����WZGu��ֻ��u�����(�H�~Q�a�3u:Z��L���l����oo�7}��>
�����}R܄
uFb�
-�:Jk��DA�U�z��f
8��7HJe��J�/A�V�z�����e���gL25��aJ~�2b�
2§kE���d���K�\m���fh�_�����{��\iYGU��9��ӛ?)�[�9��z��_� !�*L
C'
J���vXށ/ͣ2��6U��J���\+���J���qt��r��Z� ��X�s0oE	qh�u4v��P�M�βU�e'D����ރ
�4���d*�M�b��֡I��!�[lk��hD��l�FI���l�;;��΂`
- �ܰ�3�E��e�h�"Q
�:��t�Vy�$W��:��FM����ɑ�l�R�9H5��ǺŴ[%�ܣ���i��2ݝW`�D���Tv�L��Hb�Fg��[rq���ȉ����d	:�zϊ���JH��M���3\=̴r��Q����л�
�(�;�F��!'�"n?I�Œ��&pp'
� �B���b�7O����%�gY4_c�
- T�e'��"x.r��f����0���d��t���� �م�͝$�v���Rn
-�Nz%c;�JPZ�"o�N8��c4Yj�)i��P�?�
�
+.	B1��ѹ�_���}�]�"&s�7���5#'Ï|�I
-�_G�4� 2r�^
/<���j�F)
��
-��4��i��T
�e'�%L��z;��"@jd뽽6d� �Ky:f$�Dw��7
$w��s}�Ћ6|�{��Z�$ްj�;�1
��~zi����CIEuQ��� ��x�}|�������sc��
�-�n����*�Y�
���[�
-�<��"�5]a������Z�endstream
+xڍVKo�0
��W�h�kI�l�0��:`�]0`]wH�&q����G��-�
�H���Ǐ�nGW��ԁI���h�T$R�A��I��h�3|ŹP�k$�Sc
�F�r�M`<�|��-��4O�OD�F��?��q�,�TIJJ�}Jc8��*�YYg[��8ޗ0�D�
k<��J��bU�
�
_a]���h�l��"DK5
+�
ܩ��
)���\�,�j�K��|�-���k
cxz|��9A��ss�O	D��Aj���d���_`|��=L�X��w�cA�4�[ir�ic�S�b��IQyR茽�q&	������s���m��z[�k���(���‘1���S��݆�k���.�x�d��l��q�� ց�� ���S8 
��!��`��$X\4�D����E�$��ᤞ��u���trBWr�)Z6��9��P�)�cOƍC�Y&�@�T�P{X�P>I%�a�B�
HUe\ ��!d�c{q�~���EJ�ٖB ���dn�r�i,O�I�ihzO�`k��
;���
���FQ���~1X����箭�6�,w\_ ��]�%�
&?sb�`��
*o�p��v�
/.�5��q+A>�1��f���~�����;!=�j�-�m��̞4��T����nhJ����REkn��-+����Z��4�DÞ�n�
�����ݲ��g�����@x&���c�>�-[��䮮���Ax_4��f2��
iOQG�)&K��ۡ�f8WEX#srUP��q���-v��4�1SN�����8�
+O���3b�#�� ��f����
+�6kTj6���=2��/D�.eP�#�{����P���lQ�Ԡ8�#*E�����埿ON���1�cl��Oӕ^(Nז������4#u�!#�J�R��Xp�
��5��3n 1�)�9�_1��IA���Ȋ�*4�'�cQ�$��8�UR���`�������?�@�lendstream
 endobj
-892 0 obj <<
+888 0 obj <<
 /Type /Page
-/Contents 893 0 R
-/Resources 891 0 R
+/Contents 889 0 R
+/Resources 887 0 R
 /MediaBox [0 0 612 792]
-/Parent 899 0 R
-/Annots [ 896 0 R 897 0 R 898 0 R ]
+/Parent 895 0 R
+/Annots [ 892 0 R 893 0 R 894 0 R ]
 >> endobj
-896 0 obj <<
+892 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [256.739 646.443 273.689 659.062]
+/Rect [256.486 646.448 273.41 658.991]
 /Subtype /Link
 /A << /S /GoTo /D (section*.12) >>
 >> endobj
-897 0 obj <<
+893 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 536.887 90.391 549.506]
+/Rect [71.004 536.931 90.367 549.474]
 /Subtype /Link
 /A << /S /GoTo /D (section.B.1) >>
 >> endobj
-898 0 obj <<
+894 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [334.969 522.109 485.106 535.06]
+/Rect [334.637 522.15 484.605 535.094]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.r-project.org)>>
 >> endobj
-894 0 obj <<
-/D [892 0 R /XYZ 72 720 null]
+890 0 obj <<
+/D [888 0 R /XYZ 72 720 null]
 >> endobj
-895 0 obj <<
-/D [892 0 R /XYZ 72 695.425 null]
+891 0 obj <<
+/D [888 0 R /XYZ 72 695.428 null]
 >> endobj
 38 0 obj <<
-/D [892 0 R /XYZ 72 629.423 null]
+/D [888 0 R /XYZ 72 629.452 null]
 >> endobj
-891 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R >>
+887 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-902 0 obj <<
-/Length 1583      
+898 0 obj <<
+/Length 1608      
 /Filter /FlateDecode
 >>
 stream
-x�uWYo�6~�_a������
-�۴h�HR��Z�mmtx%j����A�r�y�8�p�of��}�s�oT"�"�<�7��d�q�l
���G
��d�n�<
���6�f����1������4�x{����������Xw
�辞P)��P2E� /�"�J�
��VJwa=���T�2�����l#�(S/MeB)I���L�U�
���L�UA�OV���o�β�%Ty0��4��
�zcj�`�yD�r?����q�N��#�$;��5��k�cy6�plM-�m"e��zr�w'X������!�$�1ʌ�
-Fә�vt�,��RZ-qpw�߶y
U�|Hi����j.��#n�|�
9�� _Cr����G�qn�[�Q?J�>�H������8�ž1q�ݓ����?��t��BFA8��S�&�F�u����	�����a�E�#�5m�
�]�8=y���S�q�XZ���:�N(�|��D�FS5�#>Di4��n��T�΢c!�
-�8Q��9�lj�2�*�u%�b,��XFIpH�]) ��PEJHP��$f�(����$nc� T1���;��}�$��9��3��~��l�0ALHc00 ���O)C�S�`�!�Swr̋�4�c������pva������F�D���ˤ,D*s�eU at 6����:�Q"JU�D����gB�ʝ�vȒQ!�K/tq�-ŢTTC�Q���8
-���ccyq�8�e��
�K{�����A}�"4�9��[�
���e�ԣ�#5+]�|������w�SV�'����Z*�
ڡ��!�ʴ�(�a����e��<�\NzS��T��
��.7�X�
�;�k�˶��$��\��+$�Q��~y�g xp���g�K����S�R��Oj��
y����b^
��A�:�V�:
&�))DV�@JWh�Ҥ�	Ls��յ�AZr��:�`HZ€��veU
�6���/ 9#�
e�2����F4+d�@'�p.��l:�U=P�y��0p|�M�������3/D��c�$�F\	G6s��Abؤ#�}�7���I~�]��~v =3Ma̽ ͖S�̉0��;{�7�Gn��y�8�����������Ͳv�3��\پQ����i|��$�,����V�&�p<�3�j��
��� p���~!�
���	>�����m܃����_���c�#��d��.%�Fx��"�}K
vM�FAe�+� �R��c]���V�d���(�(V���oqM�-=rR���u�a���U;t|l.|k���[R�H�E"����rᰊ�/��u;���F��������<6>��@�εo�4�eH7�no<w�=Ũ�^5����v8���f����s�£
-���#�*� �[	�L��{�{)��{_�?��dǹ����Z<
-�Z�S���%r>������z��9��U�Nh��Ӹ76�nz
����?>��� ,�mt�E��|@�% ��p�ޯ���۳� �s��k��e��#�
�e�z9
�f��T3a��G��l=���[:t��C$��vwmdM.���
nL���������Ó
i�+�������>������endstream
+xڅXYo�6~�_a����*
�Z�@��h�HR��ǖ
o
;5����wN����E9
�|3�
��o�|��1~b}^7��v5��M�.��~���~�z��
�3W����{�뤘�|�7Ƒ�(�Bs���w�s�c[x^�	�l�M�yϣ<(�[��6�:��D�`���u��Fsx�tf�}Mz��N-3�3o`ۉ1y[�~[�V��IKL��3[��5����#��t+O��?oA�j�eې]G^��E

y��`
}���>��
U|�=�,��>�;�:�1
���Ġ���~09Ѿ����D<� ��|�f����c�Q�:H�
����$����)[;Xs��=��
)���l�(�Y���ğ[ɞ\��X=l���`�통s�tM�oBB��΁UD�
,�b����x��xt2^04�RWfi��r���d�'����uH�A�#���u{戭���ޤ�v�Ă���t5/��&����Q)$��g�;
)FqWM���?��7��<��w
BG�{W�}��
I�|�4	i�����s�
�W	%8�W��q���s׋��ꚉ�&֔�9��>�ֱ�)9�F��i��i�c����k~
#nB�0��ڢx?�x�i���F���`쩈b*�"�g>��
+HK`VPR�$���H�8��Ġ�gϟ��
+{��"†�(��m�ZgY
��kF�R(���H�S@?l
�����*7��y�	R��[׈iM�9U(��ֹlqֹ����iq8K�sa��@�TL0�<���T
G�#bu�%�H�e�eRrC��p����}���^�$H at e��#u$��[�;��T!Ƿ�F��ֵ#‹�[����D�Fzj��.
��q�����S��j�uHaȕ48�bj���B��1���jHI����</�K	
+�S֒���]Eb�I��8gE<ɩ�@ ��ŐU&��orpl���Y�]�յ$�{q�
�ܫ+�̱����s�D�+K�^�m�\M�ʎ�
��p�*5�9��S#�dO��H�hɚ���Jѥ�i�-���
+;i�:&��yI��`XGy�����\����᫆����JN�h�Z̖k��tw���`Az
+��q�xٜ_�{:�{?�6�aGC��De=้G�>��
+PٕRO�0:(����`����Ufp�~�[�C= }�(�yKm��/9���~����s_
+EP������^�N��=
�H>���L�H7!��qM�AC�p�{��}��EUI]���wSh�>\` ���V
+8�"oGw).���E��5A��ic��w��OBƽ�ʝpWH�ܥaZ��
nr���L��W��/�<��"[��[O��cw
��"%=�֨&R��b+..ӎ�B�ZO�oS
J�k������'�E[�z�%�}��e�4
)�p�K
w�/�[�x�}
+O�{=�-�=�
+�Gz�-��aZ�%�
�1��JQ	zG��'��h��9OoK�5b6_�F���!�=&��Ӆ˨.�yr��k��h�Ah���i/���D��2fu�-��~w	@�+��
+vm5ܑ�2-}�񥢭��|ɣz
+R�m�L�:��ₙ����
+㣖�R�
�,s
+-��	�lg1E����t
�i����
@w��ț�ƻ^��o�n���5endstream
 endobj
-901 0 obj <<
+897 0 obj <<
 /Type /Page
-/Contents 902 0 R
-/Resources 900 0 R
+/Contents 898 0 R
+/Resources 896 0 R
 /MediaBox [0 0 612 792]
-/Parent 899 0 R
-/Annots [ 904 0 R ]
+/Parent 895 0 R
+/Annots [ 900 0 R ]
 >> endobj
-904 0 obj <<
+900 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [507.137 457.601 533.192 471.548]
+/Rect [507.203 457.616 533.214 471.45]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.1.2) >>
 >> endobj
-903 0 obj <<
-/D [901 0 R /XYZ 72 720 null]
+899 0 obj <<
+/D [897 0 R /XYZ 72 720 null]
 >> endobj
 42 0 obj <<
-/D [901 0 R /XYZ 72 720 null]
+/D [897 0 R /XYZ 72 720 null]
 >> endobj
 46 0 obj <<
-/D [901 0 R /XYZ 72 533.86 null]
+/D [897 0 R /XYZ 72 533.872 null]
 >> endobj
 50 0 obj <<
-/D [901 0 R /XYZ 72 441.868 null]
+/D [897 0 R /XYZ 72 441.905 null]
+>> endobj
+901 0 obj <<
+/D [897 0 R /XYZ 72 421.449 null]
+>> endobj
+902 0 obj <<
+/D [897 0 R /XYZ 72 397.504 null]
+>> endobj
+903 0 obj <<
+/D [897 0 R /XYZ 72 373.096 null]
+>> endobj
+904 0 obj <<
+/D [897 0 R /XYZ 72 333.572 null]
 >> endobj
 905 0 obj <<
-/D [901 0 R /XYZ 72 421.395 null]
+/D [897 0 R /XYZ 72 309.498 null]
 >> endobj
 906 0 obj <<
-/D [901 0 R /XYZ 72 397.451 null]
+/D [897 0 R /XYZ 72 273.298 null]
 >> endobj
 907 0 obj <<
-/D [901 0 R /XYZ 72 373.043 null]
+/D [897 0 R /XYZ 72 232.124 null]
 >> endobj
 908 0 obj <<
-/D [901 0 R /XYZ 72 333.524 null]
+/D [897 0 R /XYZ 72 190.779 null]
 >> endobj
 909 0 obj <<
-/D [901 0 R /XYZ 72 309.448 null]
+/D [897 0 R /XYZ 72 170.683 null]
 >> endobj
 910 0 obj <<
-/D [901 0 R /XYZ 72 273.25 null]
->> endobj
-911 0 obj <<
-/D [901 0 R /XYZ 72 232.071 null]
->> endobj
-912 0 obj <<
-/D [901 0 R /XYZ 72 190.726 null]
->> endobj
-913 0 obj <<
-/D [901 0 R /XYZ 72 170.635 null]
->> endobj
-914 0 obj <<
-/D [901 0 R /XYZ 72 151.208 null]
+/D [897 0 R /XYZ 72 151.255 null]
 >> endobj
-900 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F76 747 0 R >>
+896 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-917 0 obj <<
-/Length 2724      
+913 0 obj <<
+/Length 2646      
 /Filter /FlateDecode
 >>
 stream
-xڭYI���ϯ�rR5Tق	ܦ�T%���
ڝ�'�[���P��K�{��y���Ǖ�����[���wo�o��U
�7w��,Wq�ߤa�B
+�9��l#
]_lt��e}��0n����ƤA3��T��'E/�zc2Z:}yr<�^���@�\U
�v<�ʪ�
[�P�L���:��0�;�㶲��<L
"�;��:�
-��dU�n󯻟n�:�ko�U�&t��g����Ł&b��
_�X8��z�6�$���&3x2n�[9��������YU��n�k;��hw ck�Vx2������4��.���s
-������s��!J�9!u��
�4�[X�։ʲD�}�r��U����<�;d��k��R�"}�	u�x�MN
x�$��ƒ���;��AD�c\�3/5
N��@
6��������_����
-~t(T`tW~
���)���u����[|�+]�n����z���Auq�Qs�z�F���dlpܐ����+��wk��*J��N?H���m��$��(�Ȣ�F3E�Sq:WN� �#eM*ra�`�/D�+l�DEQ�_
�B��k��k�	�d�X(�hF&	
Kw��&^�IP	i��򧽫���7p��}��EVe&�[��o�q���5�P�6q�7��}խ�
-�c��@�ŋ\��
kd���й�o0�>
�g�\*�x#R�H
�
��y$J�`�%
-t�#�e[T����j$^�o�)w�^��wb����3��F��rt�FA��Ӳq�伮��G�
���`3Z��a2�9G�J'���Z�������&��u�vxV�=�S�>#h�p�nz
�)v�R'Y(�5�����kf�������6za6���J"�j�(%�=fRJ�
� l�%�w���Ev;w�y
��n���&���ˢE�
��w@�Z
 ��/�� n���
-u���Z�>�[�y([�G�
8j�N"7�aLs�8��is˴�G�ꝺ<<�9��cJ���[ٹw�š�y��
�
�e�G�s?ֻ���B�A
`vI|	����q�W��
;B��Z�gt��Ap��(*�-�
���d\��6�)"�l��H0
�zX��!i����k0sBL�`�
-6�F��g!M�B��
�R4/���J�k�
\�>b@�Wy�&UQ����s���l�8�"/o�L	_�������
�m�+)rׯ�V�U��������
����!`��d'��@Fp��_+
�0
��E�l\�S
-�Y�� �Q��"��N�h�
?
7k���)�)evڵw$ؒ��5N^�I
��y
�n�Iz��� �����0
~!�
V<�THua
&F]�)3�#�gE��+R�q��R���
>j�d�����<�
��'8�X8��ޭy$й��A������z�gL����o=���:�Dr�Ƀ�z��È���2B���4�y�1eL�j!��YvR��~�
-δ��R�)�Kw��L)�w��k>��$�>Ԉ��{•`11�+�-
�_��^����/+˄jǑ.o�p>�CNƒ�d	J��8񨬧�%̫0�
�b݀���5��b�Ob�@��ܡG�e&�����&4*��}~�,��Js��Q���<�� Mw*�*
�p,1���
��q*{�
-�St��P����T�ㅬ���W8��2o;�X�R� �r�r�AΫ �Zel�"���.�P�KT6�$���g_��(��ɝ�փ_�?��g�q�<�
ۚ2u���w��R��$Cgˈ}�za�"�����,���E�I�o�n�b͆��:�s���c�%�՗(����ʳ�x���ˊ��L|��ҙM��
Ӎ��Qq��M;�zI5��^�t�6��\�?0'���9m���8FdO8�q�a�h�q��-%��/�v^Y<�Э���S,�gՅ��'~9�'����y��}K_��2u�H+p�yy[ʢ�Ko\����ᾶ(W�W�N�0
��":}4:\m��4�������€cu����alo��wm��'�8���/�޷^bL0���pHt5��	�B�Gq�)�RɱlQ���cE/�=�)I/��G*��O���ў+�N��t+���zE��Lmj�V2��*3r����%Y)c�1�vܓX4q�R�O;�񁫜	�M�Xe�1���T�}P��E_r��k�p�o�¦��y�T��čQv�D�h�'�Z�r�Qq��@v@�aY�{�@���*��H���SQגG�T`分�sn��h������R�7OP`�F0fJ��%J

�c/�ɼ����3/^e��ЧR$|�W������`��Y�@/O%)��})�,RY�k��Aroi����aR�v���*ɽ���:���K��\�i<�9�H�#�@�X���J:�)�/qI�'�Q\�����^����CEC	�f��`׌�~Ձ��T��󖿾
-3�픩/o��A}0�i��
CG��2�ş�,b��{�eX�nj�J�fl�&��j�
����[ų=���}��Rӹ�8�����ہ�s}2"��_v��
	[��b(�8�o�;}��(�wX�=����O��
'AgJ�x���/���Б��1
�`r��K����'�c	ձp��/HbQ�<���I��[�iDѩ{�݌�e�o*��7�]E�/;N��0��
pŴ��g7�鲑&D�V�]N�� oE����WGv���;vrq�b�V���2������a(<����� +�t�endstream
+x��ZKs���W��T	(
���*IUR�>�@3;�6�XPu�oOOO�L�>@I9���Σ{��u�v��w�]I)��W7���	k�US��2���_��n�s9[��
-լ�/K���矷����>�_����<W�� �O��W·���
��
ō�����a9������&���	�H-
��E��}����cx�<��H�'��5�Z�;"s�U�
�z����A	.���(AN�Tf�9����Tz�:бI�~�;����n��ͼE���n�/��_��.�@�Fr���:
�wR��l�{���*���
�u9�ľE��R��
��>�L��`a�R֢���	�7�M]H���[�U|-�if�Y$�=Z�o����L[�.�9���K�J���#�v��I
~xY�.��?L�
�87{7oՌmا��
<"�e�ܑ�V[��4(��y�
+FR�����S,��;���.:ԙ\�L�P�a͞�y�3<����K�7���2��>ıhcvl+a/�մ]
�hQɸ�kJ�RS^��A�dk2^�0�%ч��9��j�+�u����3UM9
$]G:�������p��
a<���u2$��
��0�.�%���\�x���
HJQ�
+d
2��В���BJ�a_G'��ߍ

_)!mCZ�	���!5u���=� 9�%�S΄�Àh%Q���1R���.̂�N���14���4�{K�'��pr8`�����u��Mcp��?�.)��
+�T�eX �&�lބԊ���a5�+�(����B�e���x��mn-��~B̅�M�n	�D
��=�W��{2�sX�#ܱ��ߗ٪z.j �4-����|��R��0/`� M�pڑ�
.Q���֓�(���

�c�!���\��Rz�p{�DI�S6����*[��
�u������I�@
g��X
n�k�2	�
������j_0�hƵ/s�Sx��N�簜�L�����|�$�;�W׀�c�x���=���}�b0��g
$@�!f82�ʋ�`'U�x�VM
t��e
���8l��0��gм�E��$�<Ձ� ʒm����
�{�!+Z��{��V��9�~�N�V	� m����lؗ��M��2��П�u
@
���2y�E���Sj��cJ
Yx����z��|a,� ��U�-G�vB˚Ɵb֢�UզOrԭ��>#Z%9�)�N��V9'�)t3!uM��)<���8�C	x5
~�#XƱ
��em	Oڤ�{���% w�(�Ֆ��.,	 �з�7��:! [...]
����9a]`[�z`��1=ÐL
.��iՊ?���F�Z��׎�Db�m�޷c4Ȭ���M8�C�������oUb$]U!c�R�~U����nUA�M���Y
�����Bm-�o2�J����ݙA3I���:a���S�V�!
&�z}��	��oD�hhL	[M�ٺnl3)瑊G*����ix�.Ty�6�vB�*Z�p�`k�L�1�4 �Bs�ߌ7��bjC��ܗ���s�`5xL%l�
�]B�
S�I>��68|��Öo��1Uу�L���M�욷���D�jx�_":
b�Lt�H���:����� aC��D����uQ��7ʽU�Ez7�)԰��
�|��Lׇ�#ʹ|D�tVX�>�h�c?�[�R�e����G�x��:���_�Sk�{p��-��Z�W�
_�
+Rv���
a
,�#�.Q��gy���v0���M�Ur�3�e�1�ᚅz�y�� �/JV�7�����iz�i�����u�BK9ǒ��q?E�tҰ�ȱIڟ
j��E�@M?L
���o-�:ۢ�1�[���Y��<����!��|'��-����N��kAZXH�җo������bޙ����XDP����:�
��A�T\�ḷ̌R�젬�=�Yd�N�b��r����f��Vp0	?%�Y�K�`����"E-�k=��61
��f���G�dO�ClT1��g_T�׌����BlJ��‚)d�P���G���3ɜ�+����<�X��pƒ�����s��v������*�ѯ���N
+
w�e"�բi#x�eeR����(\�Xq�
�/�yY5�
��\�k�|��B܉�5��0 UC,�E&�9��#�tei�g�:I�L��o�"ίT\>u��ۤ��c�gU�������T�����0�{�f��I(eT��=Y�����|Ҡ���������2�N߼�u5
�~�����dݻO��?�K�7�N�`M߄��:]|���$
�j76��NOj���b(�x�S����Kl���n����~��m��+�zŞ�F_�{r�v$d�%W�_]�?��	>b��o���𑭻�#���!]VK|f��h��b�#������w`����:K�!m0�/kɺ$�Gf¨�1PYO��Y�>z��
�tM���gL[��P�ӽ�B(v>�
+���(b�W�߼�/�`�oendstream
 endobj
-916 0 obj <<
+912 0 obj <<
 /Type /Page
-/Contents 917 0 R
-/Resources 915 0 R
+/Contents 913 0 R
+/Resources 911 0 R
 /MediaBox [0 0 612 792]
-/Parent 899 0 R
-/Annots [ 922 0 R ]
+/Parent 895 0 R
+/Annots [ 918 0 R ]
 >> endobj
-922 0 obj <<
+918 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [419.06 343.537 445.115 356.156]
+/Rect [418.621 343.574 444.631 356.117]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.3) >>
 >> endobj
-918 0 obj <<
-/D [916 0 R /XYZ 72 720 null]
+914 0 obj <<
+/D [912 0 R /XYZ 72 720 null]
 >> endobj
 54 0 obj <<
-/D [916 0 R /XYZ 72 630.876 null]
+/D [912 0 R /XYZ 72 630.9 null]
 >> endobj
-919 0 obj <<
-/D [916 0 R /XYZ 72 571.681 null]
+915 0 obj <<
+/D [912 0 R /XYZ 72 571.719 null]
 >> endobj
-920 0 obj <<
-/D [916 0 R /XYZ 72 535.152 null]
+916 0 obj <<
+/D [912 0 R /XYZ 72 535.183 null]
 >> endobj
-921 0 obj <<
-/D [916 0 R /XYZ 72 421.743 null]
+917 0 obj <<
+/D [912 0 R /XYZ 72 421.781 null]
 >> endobj
-923 0 obj <<
-/D [916 0 R /XYZ 72 339.552 null]
+919 0 obj <<
+/D [912 0 R /XYZ 72 339.589 null]
 >> endobj
-925 0 obj <<
-/D [916 0 R /XYZ 72 208.543 null]
+921 0 obj <<
+/D [912 0 R /XYZ 72 208.58 null]
 >> endobj
-915 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R /F76 747 0 R /F79 926 0 R >>
+911 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-929 0 obj <<
-/Length 2617      
-/Filter /FlateDecode
->>
-stream
-xڅYYo�~�_a8
D
LkE��H���,��<y
��A��n�j�#��v~}ꢎ�<yp�g��X�U������E7J�E���nT��Fe7Y��������7�S��}�Lp[uб�98�����v���v�WQ\���� ����K�\��~�Y��n��S���t�����}�$��+�7bF>����/��ƚ�527�����#�����Ȇ�p�Ž�
ͺ���������'b'Zq�WY‚�*����R;D�����1N�FbE����$,�&�i�ۛ��k��^'i�=�1&�7p���c�����.�P$
)�S5� kj���
����͵<�|t�=rw�MC���?Ip�p�Y�;

{[�<��W�����j�m2Wu�=�͋��ݩl�E�Q�
�Pz��B�Qi
x�
M'�G�Z����<�G�b;���<x���,9
��S�
I�'�㪲��ۣb�r��
����
-C|Ĩ��mw�]
����Ln�~����z���Zn��i�0r�;�� ���D���Zq�-���ܫ.}?�
<c	�Où��G
�;�]�"�'6�"�8�̀�(@���{�D�6L:6ae��;��.�^��R���A��ʔQޖ�5Ѝ�J��F�7Q����lE��'}w��ɞH2�
�#�Upv��b��Q�D�
уh}��
h<b�{G+Y
&��͸a�xzm;�����赨o��k��$7+
1'\�<�똹P�`�%��۫��16=h�G�	�m�s��O���W��L
~��?+{G�J�a��v��
-0�c8ͯ
�$AA4P�A8�(y�a_�*�`6�Œ�P������ڍdg�EQ������?
-���&�?#5��c>��w�7��AV�Mc{*���G4��$?�2;L�|��� �"���IC� S�o�<N�Q�/OR+�H���Z���"�wy�u�)!��ܙ�}m;���ӝ�$

�������"�΀�?a >Oc�����P rQ�Jf
BOA2-��8F*|}��%�n�
-��H����=��{�F��@�=O��0SQx���->�L��C�.L�
\t�p��DP�BQܷ-i�c�Q6��
�&-^%΀=�Ȟ�'�6L��
q��'޿���
��aN�H$�W��J�\R�ɇ
�`� �4
�
|$�L��9��d�	���&�Y�O
Eb�F' #���x� .�$9I����O`���u���D8�Ҁ��Ɉކ'B��dT
���@�Ʊ��L�/���7aG-
&��ݰ��ꆱO�n���<.���_)"�_x���E���' ��eT�e��x�59x�
?;
-0��
tb/�|��22
��:9d�o3���X�g�H�U�3�!{Y�݀�Ċ�
�k.1+Yc�a'�$HQI�
�y�	5�C��"̲x�
�&���T�+���Pu��+{���4�A��������}��ϯ�
 OxŽ���R�'��87|�r��m��\f�p���N���Rt8�M��nHj���<�9a����i�
)��� -��U_P�%�ˮ�>�t%.�XZ�0M���SiX��:�3�Q�b���_SEF��\j�	�
��<mi"�B(��0� �"F�<^��s�劦w/�jN���&I�����
-���
-�9?�
 R�%��a��X�������Pu���b
�q�3
-�q-�
W�
/
3�V���38��*'�d���<��
R}��A��"�R������)K�3!))#P���^X!`�J9J�=��TS��s�e� w�v��6
-L,���4�|��
 ?
Lu*d*s
*^q ��|||y�L` M��1��$Ųp3
Q����, ;
�BaLœo�ϩ-��cgo�?��;�
t
-�lH�u�7��xy:c6�Q��?�x�@���ץ�w�o6�۔�4�xF3��M@��

<R(+�7����p�����q�
-��2_"��"Tc\�ʠ>��L{k��=Ҿ�B�ބdn�G2��MEѻ��#��B^�vS��Hc(�@cN7]+�=L�f!
-Y��h],�2��N�2��n	�r�J~(�ʧ�Lj-��q�ĉ��-�[�]�&o��;�3y��+��a��P�	�t�y�sBQ������e98
-��<��
ږ��d)�`��ˍ���|�jEAI�JR%��LT]�
-�V�J����6o�U�Q�l�W���7�����3�qQߑX�r�
-
-�?6�4?���t�f�9��(Y�Z��h�30�!S� -,�{{ļf~��<��L��J�
-tDEl.5W�Z�� |< �c��Μ9�tJ�Ϣ��˞�-�|������rkg6z�
�ǎ�V�?�����v
��
Xg�>
�;�GI��$uFIu�3�ث;���C��j�kCh
h(b�r�~�<j����-�t�$���%U��-*y��.�rnJ7=BÒGP�Vh��半u
A�G�*k��:�PJ�nx��
��"�DFn���[�yS4�4��#�HN
�Um_9���������7ehHc�Ot�>�bt.�x	��A"��J��B
��mY9���Iف�.�+��Y��֓��` 1��2U9d�
n?|���?u�ќendstream
+924 0 obj <<
+/Length 2571      
+/Filter /FlateDecode
+>>
+stream
+xڥY�o������H�
D<�\2@
\/	pE?�\��}`$�V#Y�(٧�����r�\9	�����ٙٙ�<���W�P��R�h�����J����ʕMQZY����Z-<�]/+e���
+�=<=<��lx|���
��y}�T�v�����]�s���g�Y�����v|�g����W˺P �R�������
��δd/��i!���5s�O}dN��3M{"�� �~�~p�����g�N��-JS&�����������t��?�5��RW0��5���M��a�jX���c>7f��~�B��E�t׺Y<�?=
v�g%*
x�Wq?x���۰$���>HwO�~]�
6�?��=n�i���a$
c)iz3
:�PF�����?x��t����ě�E׵�
��:xE�r�?A�s%��%Qn�,����
����5Q��y<���J���s��*��9��]D��&w���x���R�);�B��禽�.�e�ߌ�@t�`�����}n�ϛ놮�X�3/�����}+�|��=�� ��ʬe�:X,9{
��
hlub�:$v���y����(�ӿ!�G���Ƿ�)P�
m4���-��kY��Oe<Zۢr-o�j��⟤&�=qލ�
�����o�U4N'�7���LEF{�(��~�k����沣���Rܙ�Ÿ��Hk���#IFu�TEijփ�#!����;
�_V��Ee��A���գQ49�U3�˰�4�+W'ٜ�šjd��7�Q�����e�:q	X����
�ϛ !T��2_w�(�rx������{R�.\e�����2�D�
�X�L��9�5 �
��|�zԱ
F�4�
���	#
��h��
�`��
�
ױ��BDD2�K�\��c�K����H$��
;ӑ3�_�t��z��o%H����E��}P���*,��%ݣ:�1�'MB����Ce��x$2_��
[UTF�R�`��jЌ
+�7=��,��GJ�،�T+W���)IgB̈�8/��^�:&��h4}cF�glӟ#@,�Y���<
�B9��!�`��F�3�yɚ�H�4w��K��J�^���i��2I8����: 
Uؚ��'�,xNt���e��Aq
� ���V
�x�Ò��"V�ֵ#n���3��Z�?a`�o# }�&�"z~�<�De<k�^9�?x戃�f��n����z<����>�:LЪ:='�U^~b�?D�:��flԔrg�ꄚL�����:�}��ɢD*J?a�6�c �y���!���A!���g���/X�qy�Uy����p��2grA
���x�[
4�L�
$�p&.�p~*Bl
�&��ӊ���4ך�q��y�u5
3$/�*M�ׂ	�i�^��k�x皶��P�s
���^*���(�#�~��	��x���n![�'�迺D�������zOX�rH�_��c�!Ø�=��y����(�

�V]GᙋP�>1�04H~Cm��[I2�^�*jED
Ë+j%Q��]����?��(ȶE���(K7f�h�K	��L�vn��cu�V��V(ܥ)3�wQ(kUa�c�
2��E۸4�ծ*Hk)��
���� !���:��
+��D:t"u�*
W���,%���hREţS�Q;�¸� �(��ye������
jR�LG�GȀ-g̈́�sڕ.�b>g
���R	"oY�
S�=׶��]\J
����j�:m`������B
�X��9L��:�`m�P
�൏��4q�,���U
-X��ai��,͔��_��Nڇgz��Gi�!5}�����Q3
� �$�?
�G�g�1S,6#��[qm�2Փ.ӈ�&���C!�+�6d�T	�����hnꐣ����X
5�ǽ��EM�y�.���d(�1ž
���F��eO%�\?d��ɍ`y������unL���+k
�e�4_2#��m�L�Mu�L"KiP��s\M���
=�R[*�e�Dž���^
+�^X����˂-�pY�TP$���s��!����L4����K��CV�����9�AE*I
ĞL������r��B��]ģ5�,�KVS����n����-�Ui���:c������PՊ�
+0�zX�ϙ�\�����
��l�\&Fo 
h�(s��GڀT��ѕ�V����p�4	rڪ ?���͇��b���D�(�^,a|:эb����� ���**�
}BMX����B��E�vǎ���v<~���c�M�k��S�X$�柞�&l
�~%9�z���I�i��Bo1mJ/3�4��DQ���
ǥ����9�`�#��;K[��5��^���ۘ4�dM=)<�z`T�*[/J�7V�'�Fm�Q���%���p��$�}�,f��bzRZ��Z
G��XQ�ޯK��U��
_��h���WO���ώ��9���Kf�La����GŰ%�ǽg��E�Zg�-�/��T1\

�w���%(�gzO|�)g>���{�U�~/]��~"� k٤��Թ��ۉ���	^8��Br���`�F�
@�h3��&m%F�Q��we�j��!���^��L��f5�lUYl�4M�o
���߼�E�*�endstream
 endobj
-928 0 obj <<
+923 0 obj <<
 /Type /Page
-/Contents 929 0 R
-/Resources 927 0 R
+/Contents 924 0 R
+/Resources 922 0 R
 /MediaBox [0 0 612 792]
-/Parent 899 0 R
-/Annots [ 936 0 R 938 0 R ]
+/Parent 895 0 R
+/Annots [ 931 0 R 933 0 R ]
 >> endobj
-936 0 obj <<
+931 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [199.085 285.776 225.14 299.724]
+/Rect [199.1 285.765 225.11 299.599]
 /Subtype /Link
 /A << /S /GoTo /D (section*.17) >>
 >> endobj
-938 0 obj <<
+933 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [224.937 183.779 232.783 196.398]
+/Rect [224.734 183.755 232.572 196.298]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.6) >>
 >> endobj
-930 0 obj <<
-/D [928 0 R /XYZ 72 720 null]
+925 0 obj <<
+/D [923 0 R /XYZ 72 720 null]
 >> endobj
-931 0 obj <<
-/D [928 0 R /XYZ 72 671.148 null]
+926 0 obj <<
+/D [923 0 R /XYZ 72 671.139 null]
 >> endobj
-932 0 obj <<
-/D [928 0 R /XYZ 72 619.829 null]
+927 0 obj <<
+/D [923 0 R /XYZ 72 619.811 null]
 >> endobj
-933 0 obj <<
-/D [928 0 R /XYZ 72 564.525 null]
+928 0 obj <<
+/D [923 0 R /XYZ 72 564.502 null]
 >> endobj
 58 0 obj <<
-/D [928 0 R /XYZ 72 435.063 null]
+/D [923 0 R /XYZ 72 435.05 null]
 >> endobj
 62 0 obj <<
-/D [928 0 R /XYZ 72 403.631 null]
+/D [923 0 R /XYZ 72 403.628 null]
 >> endobj
-934 0 obj <<
-/D [928 0 R /XYZ 72 358.687 null]
+929 0 obj <<
+/D [923 0 R /XYZ 72 358.688 null]
 >> endobj
-935 0 obj <<
-/D [928 0 R /XYZ 72 335.263 null]
+930 0 obj <<
+/D [923 0 R /XYZ 72 335.26 null]
 >> endobj
-937 0 obj <<
-/D [928 0 R /XYZ 72 268.502 null]
+932 0 obj <<
+/D [923 0 R /XYZ 72 268.494 null]
 >> endobj
 66 0 obj <<
-/D [928 0 R /XYZ 72 168.555 null]
+/D [923 0 R /XYZ 72 168.55 null]
 >> endobj
-927 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F79 926 0 R >>
+922 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-942 0 obj <<
-/Length 2537      
+937 0 obj <<
+/Length 2444      
 /Filter /FlateDecode
 >>
 stream
-xڥY[o��~�_al_(�b8��-� Mw
�H��v$Mhqd�D�������ph�y�8�9�s�w���ɋ+��*ˮ�W��*�2N
�Gwc�Rѱ���ZE�j�Y��2Q�JU�
-��
~M�CW˲O����?����F��%��Z�X��xǿ꧕.#
�L�ǩ���Nwp�4�d���,�-Qf/�� '�+]D�tf#SG���L��
h��
�O���l��n�
-$��_W����ڔ&�eU*���7�
��sv�>OB7������� 
��2�19!0'+ͅ��	��,#�F����-|p��
c���~��5��] ] ��	���I�2:/�T@��h��i~K����k�4N�T� Py}���^��,\��������
�::�Ux������1b�nL�n�J���*��2�'���q1@��T&ˀ
��
ܚ���0��#6Z���>����;XUel
Tr��]�`-�_^��AQ at FO�U��
��Il*��$HiL�D��~�HU�	�|�T�xю[ݖ�� lӊ~�� �gd^���oxd�zeǧ�x�N
|�T{��y�BK�W��4yβ��؄�};Z9�Em
�Z�H�����ˮ�
!s�k�(�LD�o�EGa�[�}'<o�=
��̶
�x�d:�[Q�Xg�g�����SE:�U9����
���D��*�WL��(��#�yX��,}��p�7vݐ����N2^��_��d�iͥ �� ��N+o �2�Obo�-T3�t���z*�a��=-�M�� G��
���"�����+'c<H/@��g�f_����40���:�
-.zxB�]T��^�B�����~�=4f!z�,���*���L>A�NW�
-AM�{���4_}8�ã��+@,�L�����(�4*̵�qxFU�H�l=��J�SJ�0,qP�#�p,��W�&";O�
TM�m�<��
-���
��h�9:zٵ
*�:�;�
��M�V�LΡ
�
���_�}���
lρ��3Ȑ%[
n�o�{��
m����Z��xb�I
bkO)�W��eղ���q�	`h(�(q1���vp䠡 
a
��zX��I�ё����IS��<J�Xi�
^�)Ώ�v}
���w�a-G
�<������J�D
v�l��GH"��:��@�
<�/�ᴷ�.�)F�U�5���j�)�߂^�e]LD��GT�ϵJK�����~���v(����
y��
��5
g�����
��C#M��
t���-N7h�Z9�gނ?��f�<��$�C�������ٌ�=S
�3���L�Dw���ĉ���$��shn�����+�����?��=�r܉��;h��?w�ު��PģykL��/F(9�C�uH 8��p�R��J1��d��
�A����O�4p��'t����Od�Z�>�hv�x
�
�ӻҼ

n����!��
i����-���TR�M��u�6Fj����ٞ4�ד���[L��3���B�rprJP���Wr��IT\�t����p`G�T�j�}���9���e�;BwܜG^�� �ޒ%O98,���rGrts�4p��40�C�v�g�ήtxSs��*���}G��\$���Sƒ*1oS��ܵA��Z�$.�O����2�=�x��x���Q���~ɀ
8"������~�H���ĉ+} ���I7�/u�m̔ܛ0B�Nwt��+���J�J'�l8��f��c����
b�fy
�����Qq�2�F׽�M�m*G�j�
྘�J<A�"W(ؿ�$̔Ⱦ��0ⱛ�9��E<����@�u��
4�Va�
�;I���qĻ��Ι&
űg�>��;�����ydߣ��
��b!J���ԅk��3s��gtF
h c��4�7��Stt�$y���XI5�fS��P�9��$�R��yg��ZX�a�'�N�~M�>�(B�h�m�}(;���9Wʨ��ؿ������g��żL����7��%հ,K\�2���`���uaȝ�<�,yPn� �+�b[
��=��	-�Ohqs?��Sy��{�p����oDž��*7���+�=� 	�ܷ�T��ı>,�j:IcHׂ�A8`${�uT�b�,��B_l�;�д/<�:M4�!���Χʶ�;�sh�@f��e�*�NZ�d�+$l�A�Δ�i៌K6�о \XӠ
�z�
���҈taP<��KEI�%���X�����Q��ܽ�h�1���4h���!���I���T1-��FG��Q��R��m�SNfy�ŋ�q��2�m��
�߳�K��T�[Jd� ��<쥥�j��M��`��
]p>�/�
*a„�(��xRՁ��|
��t$���Ȣ�Jxe��Q&8��!ѳ{G������T
-h
H-�)������+��u`	i�n�V�92��
�GG�<�
��@f�����V{�1
-
�E��F@��!��!�1/aA�_�KuK5^��9�u��r���f�Mlӎo��z�;��#]��]�8��i��dw����9^������U��&}-˒
��>|���?^,��endstream
+xڽZ[o�~?��h_d�����K�h�
�E�.����z�����]��߹�"%�
}�Y�6
�
���|}�ዏJ�WJ孵Ww�Z_�E�%��e��k�-�o�ῇ�zaj��p��6:{��;�
�������+e�7����s��/>�6ص�Zh�+[Ӧ��ԟ�u���������?i#�G!Į�wɌΏ�/��w�Jhmܤ*{�q�%n�3���|
���+��y��{��5�
�Y%�U���t۫�[�׍���E��?�%�i�j�v��
+w�3��O�A��9�rڗQ [��*�H�3�Ms�y?�<Mp�3mv��{p�r�O�~���\�H��#SQ�s��LE�*�]5�6-�O�@���^��MۂT��J���rTC�����,��XNt�G�"K
>Q�C�k�����LOr�!1�����ږ�b�
+����d!�fn�8|N�8~�AeU���
�z9���;i������(�'t�6�Q�l�
ٖ��%��
+��(Yqy���U���S����	��,X�a��΋ˆ�em'�P�@c�UYмH-2Nh�K�X�#�<��^{
��
�ba�9��p�Lh{�Pt 8k�����>�����h��b�fQ���c8IM��)<�����LR[��V�r��/2 ���t�kERS0�xմ�WZ53	iUO�H�4 Ǝ�ķa���8
+PZ���-q����"Q�DXxƱU��zgy[�%-w<3��/�uْGތ�<����s�T#4 ��*
�^��`�R�!�q�C���d j&���X:Eh�Ae���L�:;uђ:��YJC���ơ�î�^��#�>nR�a�C2/��J(���̨� ?RJ�sS�3JX�i�Yo~���`.�����^�B4
�Q!w
{-Le��>�5�{���|��ں�q�=L��Eץ�1Zv�7�#�u8�a�.=�vt� +��9�
+`A�D�b�jF!R����$���ZM	U��On�#/[��.X��B0�
����m 
"�
 �c�g��@��o
+�
��γ�t���Npt�]���	�w�
�vw�#����fw��	ES�
�d���]��\�(�y����S<R;�.M���
�T��X����I
9�g6!'
ObN����K`#�&؎"��/	ˁ�x�S.�$7>?���Px
�����D���/S �if�k�R��za����} �� ���:#z�� "#@Z(��u�{�8�~�+�6O���rr��&�dn?r�af'��������0}���
(���%
�ƶ^,�����j��>{�g�ï>���;ȷsL7���I^�o
X�v4�?��
������Bđ�2$$y*.���DZ��)^��a�+���'��^&Ĝ��OZ5Z|Y���Հ��f�.N�:o�I���2�M&�Q@�@_b�h�5�?�N��~�q��
dv.���� M����猗�T�.
�,�
������(����2)�@����J�U�7�ˤ��9_�Y��ʛ*
&ѫ+1�V'���Ws���r�
+"8��ٕ	� �f�y	r����Ԏ��M�2�:E�t��Dʥ�`�}�/
o�\=����q��U ��u�E.u5��
�K��(
������
��\���i>��d��ڻ��ں�P�
Jo���f���ϽHBLR~�"mp��*�i�A\^�Qݠ
�S#�}�N*�}���g�z���ԭ5�ʍ�խ-$ٮ
�;ŏe�A
+-�u$�Q��`+W�K�c��
JW�N ��u2sq���Ը�R��q�����
	�?�?J��	Xm��t�JBI�sb�8��0��/������
�1���4��!�4�'TK���
g���'�Z>y����_\Z���~x�w�XG<�]~�)�x"��Z�� hF �̂{�
�ܦ�0�ty��K��.WJ��Y�"��n���	u���C����+�j@��pqGWM�BZ��
+)��/��v�97�QO\wK��GH�0��QMv���
7�d��ځ�͈kQ��"De��<�9��L!U҅�u���&�0�y}D<`��O�ih/�{鄆��9 at It�'iV?f,�Dg~�ƀݨ���s�T��۲;���*Lۅ���.p�I�@�
��N盿ATr�����c��
�"��I�!$%,Ud*X��^d�q����d�����!�<�G��
�L����X�#ŝ;DL��Fݓ���U�$��2`�R�;Qc\^l�8�k�F�9E l�\�q�
��H��
��3Y{�����t�X�8�Vᚽ�be�T����
<�vr)��̅bj��\��-�����N�&�
��P�����J��K���P�0�+�G��	��~\,�G������{�Y�4SZ�[bP�y�Ke`�7�f"�B� ��Q� ����b���O�7�~;q=��i�uJ���UD�6y�p)�i�B�q�÷w��x/endstream
 endobj
-941 0 obj <<
+936 0 obj <<
 /Type /Page
-/Contents 942 0 R
-/Resources 940 0 R
+/Contents 937 0 R
+/Resources 935 0 R
 /MediaBox [0 0 612 792]
-/Parent 899 0 R
+/Parent 895 0 R
 >> endobj
-943 0 obj <<
-/D [941 0 R /XYZ 72 720 null]
+938 0 obj <<
+/D [936 0 R /XYZ 72 720 null]
 >> endobj
-944 0 obj <<
-/D [941 0 R /XYZ 72 697.999 null]
+939 0 obj <<
+/D [936 0 R /XYZ 72 698.015 null]
 >> endobj
-945 0 obj <<
-/D [941 0 R /XYZ 72 617.969 null]
+940 0 obj <<
+/D [936 0 R /XYZ 72 617.98 null]
 >> endobj
-946 0 obj <<
-/D [941 0 R /XYZ 72 593.277 null]
+941 0 obj <<
+/D [936 0 R /XYZ 72 593.283 null]
 >> endobj
-947 0 obj <<
-/D [941 0 R /XYZ 72 568.917 null]
+942 0 obj <<
+/D [936 0 R /XYZ 72 568.922 null]
 >> endobj
-948 0 obj <<
-/D [941 0 R /XYZ 72 438.247 null]
+943 0 obj <<
+/D [936 0 R /XYZ 72 438.241 null]
 >> endobj
-949 0 obj <<
-/D [941 0 R /XYZ 72 413.887 null]
+944 0 obj <<
+/D [936 0 R /XYZ 72 413.88 null]
 >> endobj
-950 0 obj <<
-/D [941 0 R /XYZ 72 254.496 null]
+945 0 obj <<
+/D [936 0 R /XYZ 72 254.517 null]
 >> endobj
-951 0 obj <<
-/D [941 0 R /XYZ 72 235.19 null]
+946 0 obj <<
+/D [936 0 R /XYZ 72 235.207 null]
 >> endobj
-940 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+935 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-954 0 obj <<
-/Length 2415      
+949 0 obj <<
+/Length 2400      
 /Filter /FlateDecode
 >>
 stream
-xڕYYo�F~���s 
��1$����
$X�A�c�:B{4\qH��ȳ�>�Uu�Qr�e��GUu�����W߿�7J�i]��.��x�E�%��L�����:LR�v�i�<�>^�
��]��STw2q\E����S�f�^����z�S���o��}�M(�M�������oeˌ)�S���
-�wB�#z{B� q9��z��{Z35
��ȳ�^�{��cQ�2j�������aH����k���h� t�p��A*,� �G~Z�3�m�-X��]"qL
� �
����2STm��o.p�����Q�C�m�
{ܴ�usƋ��y�g٘3�NiM	���z�+6��ѭ�p��}�fn
���g�]	4
-
p�T���" _
�ctc&X��9Wɰ�8�*
LRȱ"�,���'0�� ���n�x\�~>���H.�{8A�,+�-����J���,�@����|noh��;����-�7+�r�Ɂ��u
-�,�v?c��
iH�
�5r��J|1h "�[�����Z-2�9������d��/�,�������5~�	1�~�3��	���76
��XTy
�~d{�����˿y*,�X�t�u5wb}r	-ڸxEґy�� *��PT�@'�;�B�}���Aw{�o�M���-'���c�<��^Fb��2ׁ�{��~�Xt����
-39<���N��Ź�"e
JV�5"k���.�C1�;g|�s�ɑV�;��\����]�n����]�rv\0ӵ�8�\�j��J�x�
��O�
�<�oOl1<>�.*Rn����I�8E�$tX�&�؈t�
-	����~t�݂	��JC���ww¯d �h��
9�FDA2�I�k��
����u�h���XNτ�'1	V>�
��Z��i�?�l��L�ވ�u�iέz)g�����H��VPd
�=��0p��M�KvAe@���
2< ���%����Q: dֳ*_�
`d��� A7'�����\o̹m}8�U�!'`C	=e��)v'��U�Jg���و�
�Xy<�5��#0e&�>4�����<�TYs��9�k�AD�`�Xe5<,;����
�4
��m=ˍ��-Tz4Z���N�V[vF�����p]�P�
&mr����6כ
%��d��pN`+�)�Do����l�	����t������);�l<#ǘ42g�a]�Mp���?lfbF|;\9;p�}��'E
��N��8=O�s��:��
�dy�� �3
�
-�R�l���K��}�_�?ޕ0���9�������|X��u��~�W��`&d����$�uL��A�C�̽��$9��W��+/	G�7Tq�+�K
�S�����Po-+�@��
�cU�l���C=1if6t�8S�"�ԭ�)75����#W��zmF��+n��pe(B��!;�n�~F����b+��|�5
N#��FN���f
[Q_��Qf����#Rs9 ��8�������]5Q�i9�J%�i_%&;0
-�
�$�?f���r�"�pg�Dv�`��U�]��4|7\}/�� ب� ,�
�
�?�2S�5�����Ug��gt������Sd��Q>I�)�h�غTDe����Ƈ�kq@��
�T���
3:��a^ 0�^-6O��ƶCY�]ec�_zVrW��]I2ΤEÐS���da��+���M���nh�q�vhX�;�I�1�m�m�1�06j�h=�KC7�u��Ѝ��6_
-�6���#�l��qZ�^�]�UP~h�r�C=�5�~�LB�M�5[a?6E7��������2�O.9��rx�x`���2�Vu��g�����R_k��ZgM&Oe�+=��i�
-�4mO���T���zˈʄ��3��XD6�����]C|ur���rH�e�H+1�3j�Ǣ�^�۹�
��k�3?J� Y�J�<� ���X>�P��ޚ�PiA�JRSs2)g��\~`���t73;:���9)���)�c평zd�}��y���o
-bVMJ�M�f�`
^e�Q�X��G�L

-� 
-ƌ���+	��-���w ���N@�j)��:����으�*Y?$~'�Y�E��[��[L3��o[�//7x~�A��[-������ &ul��Z>2��<�� �����H�������|��d�d1�g�/䑇,l},��F
��
Z�|&HW^�n4��$�wc�	޶�*�����q�P�\�MxU`�AK�"M��x1q���,s�G=�|��u��L^	j�AO��<���d��o.��_��N�̠	� h��;~'� ����M��e�4{-n�I�u%Ơb7��=�۲�
��]!HJ��W��j��2�r
$B��
u`����X�̝d�L㘪��B�+�ZZY�ه�� 6�gBS���K�i|�
�7�Xѿ��I����9s�����1P!��*�)4�nB��� K��ݾ��_o
endstream
+xڭZ�o��_a�� ���~m��r�(��s.��
PEZ�nl)�U�S���p��!�+9�=��ˏ�|q�7��~�⛷���Z�eyq��h*�����в�yf�z�拢ig׷����ֳ+�y��;x�
�n���l�8/���������j7_�j�
Z�������歆�ft�(c�Ef��
{M���Q�Mc1���~0��1H���
+�� ��87�l�#�$r��{	͹q�x�c����%V;���_���],tU����PEQY��Z��<!N�
�f_�Y����. at Ee�Za���~�Z����t���Q�I��)�ݚxYR�'�����q�5�~�s��KVfHU0mۅ@��a��σ]u�J���4g��%:�
SN(:���@M�3:+8|��c�����,
��%���{VђU��&w41��Uj�&L�ZR����:'5�e� �
ёf�/紻�<\�O}I��Un�U:�9��W���c�гw�|7L�
+�=��ڰ��p�<-s`]b
 �.4��
��^���g?�-M����L�n:\}�Գ�Ѐ#CקqI����
�����<˽�Q�6oA�B����a�ݖ�"����1��w�\[����_�����_2]x��-��		�>�4�!-���㸺���݁42䑭[qĒ
�Y�J�B�Э_rM=���Nc">�]0���\i(�M�x�O�

�����7f�c_�!V_K��9F��l�j7��D��s��yqo�v�N(�ju��
����D�~MM.��h� �ixui��(�zL츅N�&
!uv�Z��U.����j��d�ХV�=����q:�
>
+�փ&�.�~|�����
t!�g2��
�5�
+~���m���Ĵ4o(���>���JN)?���:zy#��������[
X��D 5`�ڲ��%4-:r)�IY9�-�0���
�Ea
+�4p�u)t�j�Mζڊ�ֱ��7&l]�*���I�lT�ȯ�;M6�Tm
+OĢ0Oa7�Jn�5O�ٕ
�Yz��[���2���S�pACqV97D
;��|�#%�
@(D� ^:k,9���&v�:�r�=��lT��a�].���5g6�RA���<d'QE�DD����)&�Ҋ]����GN�*�D��� ���F\4l���XB8Nʈ\<�M
��@�,��V��8��Kwb�ny��(��
�ɳr٦
{�Ƣ�
��_i
+�V�d���͚����e�ߌn�S [O)���� }n;;9Ϙ@�۱��3�>��֔��
�X֌���m������e�R�Q9�[R�o�^Wɦ<�QDɻ@��B��ܬ?r�˰Ɍ�rj���ZЏ9

+_o���Xl��.���k��Z }f�hM� ��O>
9���Z������ڟ��M�5y�!m��#<���˻0�a"��֫35D��̤���i�)Va6pVt�Ƒ�������У�G���.LY�X��Yw��fH�.a�=��u���	���pF���ƙ%}�
Y��kEU�sv�� �
7|��r)>ρ��9T�5��kS�����*�i�7Բ��)yW�����Q���k>y
+KY���4�O�%ٶV�>>ۨT�ց�q��2R��m?4�����/R
O-\�x�/��AVx�బ����M�4N
 m$�]�cP9+�ò�,T�ڳ
���kqN��X��Bk(�~X�scw�,,E�8]�����DU_4�pvW�w�+4(���'_9?��9�d�!Ըt��q�����X�Ƨ�L <���R����
���$w-
�J���P�|}���0�
�t
����\.��z�	q�z�����&jO��"���ȳZ��9�R—��p#�Y�.��S ��`T>���U��9��I�ԖX��U���^
��Yމr�8�҉��I���q.|��k���*�5�z�6W�(\2t���[=�5S�"�p���UP7t��L�He��D��F�	��G���lGA��s��vU���phQdF�Kd��G�mt������_���Xv���� 
uT��ב�2��mǡ��$.b�[���I���|��֞�n ���!~;��L�
+��PZ q�A�Kq�� �2/��;���6�
]��ǎ��.�ǖb�#��j�f��⊽����Q��X�>=���N�Ӣi�V�D
+3�o��V\�]&j�[f��p&j�Xp�
I�Ɠ�5�
Q��@�
_��� /"M|��=Пr������wD7��qCBi�do�rÒl|�#���1�﻾�G|�ԺVet����!;W
.������L�%�K���K*ƶ�^1��Y8 >hqF\�z�~8��)��"�F�$��!�٩�xm�$ƴ�k2��k
v2&:x�bR|~~:>��i�s
�`����*��J���j�p�R�c��_���=�endstream
 endobj
-953 0 obj <<
+948 0 obj <<
 /Type /Page
-/Contents 954 0 R
-/Resources 952 0 R
+/Contents 949 0 R
+/Resources 947 0 R
 /MediaBox [0 0 612 792]
-/Parent 899 0 R
+/Parent 895 0 R
 >> endobj
-955 0 obj <<
-/D [953 0 R /XYZ 72 720 null]
+950 0 obj <<
+/D [948 0 R /XYZ 72 720 null]
 >> endobj
-956 0 obj <<
-/D [953 0 R /XYZ 72 720 null]
+951 0 obj <<
+/D [948 0 R /XYZ 72 720 null]
 >> endobj
-957 0 obj <<
-/D [953 0 R /XYZ 72 614.01 null]
+952 0 obj <<
+/D [948 0 R /XYZ 72 613.993 null]
 >> endobj
-958 0 obj <<
-/D [953 0 R /XYZ 72 526.923 null]
+953 0 obj <<
+/D [948 0 R /XYZ 72 526.935 null]
 >> endobj
 70 0 obj <<
-/D [953 0 R /XYZ 72 303.292 null]
+/D [948 0 R /XYZ 72 303.306 null]
 >> endobj
-952 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+947 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-961 0 obj <<
-/Length 2502      
+956 0 obj <<
+/Length 2463      
 /Filter /FlateDecode
 >>
 stream
-xڍY[�۸~ϯ$"/bF�HQ
-�i6L����@�X�,{ԕ��e'���s�,��d_,�y��9���ݳ��>��Z��]ݭ����q�b
����-�Nۨ�:*V�cC��~��~���>����
�<�X������k�������*�tr���U�X&&��7�{��F����ʽL���d�ׅ�Q�⡺=�&lh�NS���
�*�W��ǟ�T���H�Ujs��9ֶ��bi�$��"����o
$�
�G=�;"��<�«�����Nj��5A�ԁy�m�#�VbT���R��D!EK��Q���b	w�5I�&s�C[���_q���>T���G�1����}�
;�g!����+��A�I���u	J7��ڸ蟋�EŮFY�7U�mUb�`��`t�������nP$}_!e�E��O�x:

��/�S�t�lu:rH쫙2-;<�ж��ӱ_Q�ծhxp���#ɞ�I���Վ�!��7NVM���E
-�VUCW�hH��vU������j���ЎR�/�42=2��"wI��
����
Z#��d��z����B)�B���Jl���-��C����~
�mA�xC�g<b{S	5�N�TE�+d� 2`e`/%�>�s  Jw�?.�D�
�y��=� �S]Ƭ<Uf��=zD�E=���IۺEF�$b�vɶ˶	#f�y���'h] w��L��e�9L�3�?�ӊ
dg>ڙj�t��/3G�J;-�_��Z��h\����&�
P����*�����ͷz��P�2"�.�P���#�;v���l�w
%:%|�H1�j�	})��ai ����ƞ _
�DZA��<���B8���
�L:�<��u�aKA��[}%��9��JǃAHt��.�Uf���H$�-���
�eזžj)4U�y�� 
~!x{��*7S]׼
�ZR�uE�ܥ��CP`b��p�,
:Q�=Y"�B47U+�A�	{��"��<O�z`��m��
<��6��

���%��L�:�R�����jK�ʲ�\m�e:S�O��Ϟ��s�Ɖ��ˡjK��Ͷk��l�!}6�bΆ��}zs
�`�;d��
;e�V$�aB���5E����1�B��E�)��ʬ��l?��e�i5�@�h7��� '7-�U
��:P �G�
�'�
:��ظ`��1�o�s6�*���6������x0c:�
p
j#l'��܅`��f_�P�'�DnC�^��HVB�%'�C6'I>�~�����(9�v��z�*�G��B�cS���ڴ�+����[�,����5�4X|���x��;�����6��M����t>�,��
��'��|���0�v5���Ipr��knPf�
x;�P�dt�(Gj��풿�}c�'���$��w
�^x?–��T�x	�C���Vd
�X�a���l�j&
��f��M ��{�噿�lj|�bF���+&I<Nfc��,ul���tہ)2�5�&"W;
ב�XG���X��4����X�$B֝R0�D���9k"�d*�	b޾;��23�W Li�[��ăe��[�~�rt���~�N;%.d
"��P��z�I|�#��@�M!}{1�g�q���u�rmȣ�HW���{�8_,]x�Ȧ�����`�
!�Om�|��m`<�DF��
�"`�h�Վ�����Ff�Q�+��q.�@|H�Dn���E��8��Bˆl�n�}U��&-�{~�s�����s��CA`G�^� +>:��Ek����@����P���� ]���[������:�
���h�S�"{l_
-�1�	R�I�2
��f�����5�T�k�m��3��B��[�H�V�}@�4U�KFT�s���#�l�2�������
�r����#�.�z�r.S+n�^n�H>��Ǫ,?�P5�sh�<w^ �`x��&���آ�z�EE��
~��a&��
-�VL��'�x0W-7B:�mqC]Ȅ�{��CT
���A�w��� 	o
8>�k(
-�hq���"�j�Y
N���D
�`{=�	����`�
��!�}�u��ˉO���G��!�b�
-dqO��$�
�^� �������#.}���0�79�&Nٚ,2?
���ƙ���$��k��f_3 В�(xd��W\�a���\d��M{Bܧ��~x�vq�"޵5#���6�蠙�
8{���=��V�!�P� �j4��_�2�bjx��,e&68�;�m[�}��3\����W�ļq��)�<�E�o/�.
3�q�h�����-iZCHǵ�5*�.׊��s����3O�!�z�~{���N�n;�|
)�z��?
�
>��u#׮���gh��H�Q��Z��S=9-������C�`�帵S����'���������Dϕ
-�
$^)���Hy���?��PN-�"%��ر��`��8�q�:���xK����
-Q7�;���nN�$�<^R`<�b����u �IXÿ]�^�c���<҂O�Yf ԥ�cq�ه�g ����endstream
+xڭZ[o
�~����-���6
m�ԍ A
�@�j5+�]����]��
�
r���:��h9
^��Ν�_�^��䢾�Y�/��F\��a�����_/W���n��ṁ�}�+�y	�=<���>���<���|�﫿��6ٻ�X	�Te���=��J
+��� O��n�5)�m7�~X�^�f���io\�X���=6�E<9\k�m
�82>��1Sư����+�k�r��X�s� �OHؽ_�~���
dl�rr|��@}n��v�;�Q�K�
��� R���� Ӵ��Jԋ�]�lK�O4��㎤�:�W8½�f���K���pH(���
n��A��e�sω$���s��XZ��?��}�W�����i���`5���[��EO�h7���f�yq�aƵ�>�kP
+���8:7$����\�kQ���p�#j_<z�
h�����?Y�_�:nq�{LvZ�5n����8��S��Ҟ{�7h 1dz�5`��7F]�˛����:������ ��:x�+��]�3�=�n͛��)��8$�AO���"�:�y�zO4��O��ܷGz�
Z}�`p�n���RX0.6�K\t�����2A;�J���
���H�E$���o�
�/5R|D��;B��)pr(e�KYj�圖����a�L3��0���cx�{FQ{��OWJ1D�b�����]�c�D��
G=�(�CN=���ɤ'�j)y�5�w����F�HS	���J�ݜ�qkh�bc�Z;G�9R�s:/.�p!�2��q��yxwV�Ѣ'�Q
&+���0�
�H���
z�q����1��\���	q{C�>��/q�wm��:J'��:W��ข
+��G��>=��Y��
,�)�g��㡗�!�&h
+��v���:9��vq4D4?rC_�&A3c��
�]%�e����X��٨
9�_f�A*�4�2���
�e��� KS�����Ɣ`!�t�4�_P��F
��Ȫ(����%�ց���8�f����N��q{���1��A���,�����i3��h]�wS�����+�)�8\r��Ż=�	��
q0L�
�M�;+�sg��Y�zxV�?;9�̳f&�<c�FG��9�����$�
"�'k�l�8
�%��j�8�ǸD��aR�d%+V�}�?7+$m,
e
�`���Id}
�)a
��T��*�F��fI����	�oQ+܈Kh~�w�����qf7b�|�?ocڜ:�*��ʌ�F��O	
�_Ѐ1�5+fD�,�
&m_�{�t��kx.��cLσ��D�{Ec7�n�)���,1bsk����#|���P~�g=�5���[�=`��\S���-z�~C�L�*�V(
+��/�8�����������,-�Pyճ�
����Q�xFI�������FZ
R L��I�B
0�T
�P�W��P<��,��"�:d�t��A9¿�'�ջ� FfR`� ��ۨ���hlP�dfҀ� $��
�ʙ6;e��
E��Lb�N��������{
s��9���E�|9Ƽ���J��W2���4��CtA�N�fd����
+�P�s}|�;�O�0HU 8�PO�,Ʀ�Z���MI���g��8��{=Q*/6
Ai�����ONҲ�.ֳ;����%���b�i\
�!ʞb̗��
�[p�'
�U�=:���5�M�%��a~i�5��[us�P�����&0���'�&��!�G�
Έ�x��q
R_?;9-jC��
+��k�k�$�T~�3�#-���o�a��>�"G�&��/�	��EHv���Bfu�d#]T�m�;E���@VV�$N<�EI���]u"cD��
��t�XD����,��Š��Ŋ�.�xG�n��jG�0{��G�0)�ZAg�ް�}|�صG��)j}_~������J<&r����nJ�{
��Z�
����&�'�~�9�7�:J�<hX��L�wm�f�
+�\#UK��i$�m'*�
�4�/
Թ�c�X[<�)
�a�
��g,{�
�in�l%MWy������?��G��8�VƲ���jM���T�����>��`�+׫f��,��VLH~nN�3SZO1m��_�(_��n�S?0�P,<&�ĺp�f��jU��։�Ay��aے~A�]��DQ����&2��0����V0���Z"�|��	
x�F|u�t)ǕH�ohV����T�%��;"�:�	x�!/N#��m物�(<%k���a���T%@u��Ie���	�cm���ࡡ��C�Cw�ЙǷf1���-�p���m�*ƫ�U����n*�ͳ�OJ��9:�˕�

����|�W��5q_���1�*	

Mݧ�]���o��aj�e;����Lg� �g$^\�o�8?�K|.g��ee���L�F��_O�=���b`�������B/�]F�҆U7�?���/��z�+�I��endstream
 endobj
-960 0 obj <<
+955 0 obj <<
 /Type /Page
-/Contents 961 0 R
-/Resources 959 0 R
+/Contents 956 0 R
+/Resources 954 0 R
 /MediaBox [0 0 612 792]
-/Parent 964 0 R
+/Parent 959 0 R
 >> endobj
-962 0 obj <<
-/D [960 0 R /XYZ 72 720 null]
+957 0 obj <<
+/D [955 0 R /XYZ 72 720 null]
 >> endobj
 74 0 obj <<
-/D [960 0 R /XYZ 72 648.85 null]
+/D [955 0 R /XYZ 72 648.879 null]
 >> endobj
 78 0 obj <<
-/D [960 0 R /XYZ 72 617.418 null]
+/D [955 0 R /XYZ 72 617.457 null]
 >> endobj
-939 0 obj <<
-/D [960 0 R /XYZ 72 492.76 null]
+934 0 obj <<
+/D [955 0 R /XYZ 72 492.847 null]
 >> endobj
-963 0 obj <<
-/D [960 0 R /XYZ 72 276.405 null]
+958 0 obj <<
+/D [955 0 R /XYZ 72 276.486 null]
 >> endobj
-959 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F79 926 0 R >>
+954 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F114 560 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-967 0 obj <<
-/Length 2781      
+962 0 obj <<
+/Length 2787      
 /Filter /FlateDecode
 >>
 stream
-xڝYo���=��E
�"����&
��d�b�^o��(MRִ�����e�
�/��}��r����8�R*,���fwUd���<*�(���A
n�u�����|uN%0*�":��Q���������$
�2���6iT����m�n�*�6�D�F0�&΃�2=���ni�

��0	Z3�ۑ��њ�<Sm����+�}��a^h96x!�aZ(9��� ��_��LGa��ɐi��O�ܩ`9
7[�
�ga���n�a������VGQ���j
�N���v�
\7(�m0�َ(�8P��
V�4̴e��G*�[-�
�����ѵ_D�M��/ʰH-�<�P��9�%�A��`�W��
-#0J���u��v��ŐѶ|��8,ck,?�V0>�Eq�P\�)T��y
���{K�b
-w2k�^C�.R�uBI0l�&Z�jЛø�e
�(��k0�տ{-�
�z��8@���
�
6��4���x�0SV����-{Pǘ�$p��RPfb������8��5��au
�$z���2J�ux�l������@G��m��
=O4
�a̳� g
Z�4d���t�d�����
!x|��M�
B�y��3
&Qi�/�?*�d�0�V��B at xI��A�=��	NŹ��o�qf��*V,���2疽�B��25�N�ȹ��=�q�z8�� �L�0-5�*����6�T@=d]JDۦ*�5O>l׋J�k$ qmG����q����.��|Ž�t��f�<u�i~.�s���9��c�}
Ҁ~]��@&/(�:�${Z��
-���N|̪�ȭ��t�,��-�s�����I��ԓ�9��WqiymxBQ�[@Y��9q�ruf+���j���:��
@@�h��q��i�Tth�x�Sf�]�a\Z��(��]�.RK�_#:���4��0�a�_���
�7��N�� "�Џ�V��L Ra��
}b�t a4���ܽf
㗏�DC����x�<T$�vv��<�H��:���~X����Y���<��*�h���� ;�P�i8��`Lj��.f�7&Õ�8?��R�&yeE�@��(_����d�� b�0*N|�@RϬ� "C��f��@$����(��
��@��� D��8!S�
-(��*؂�1�!�ݦ�G
-3#Jj`+��W}*�������i	
-�v�%�dp8�3�
-�v��PbWq�U�,@�\'� i2�f��Bsx�pw��kJ�����u7Lm#�dF�֏}D����L<%�)��Z(�ZY��s^Md�)�gN�gjX]GUnt���!&�(>ׂ��Sa�X���ӱ�e���]&d��ݲ��P#s�F�2ϗ��Ą
E ٓUfw�-�,���U%��H�F|@�δ&4nPy����6�zJ�=��*���#!N�X�+vl�'6m�|�����#/,h
t�D
+
e��'��pRp���4�]fw��<<	n���
)�~�(СUBw��=���ˎ	�/����t���%h"�ixF\������L�)��E��T�x�j�7)P�t���e��2��)"ę`��aEZ�pF�ɨ��
�8��� DZ�c\A��Ƹϛ2A�rU�y�QP��n�N����“z�'
Tu�k��g}�N(}�
-:q��S��C��
5�9W�$�PH���LC)'xfh-��&_J���U���*y9Aג�j�g��r�6Źn��)�bx.��0r��8�s�^�V2�v%fM�f���uY��.
;J�$%�D��a�ʗL�<�\
�)��[S���Zc=r0��ǖ�|]���Y`��2�oB,
z�@�7{�An��y���b�������H��

6
�	e%�.�06-�6����׏#�oj́q&O9�졭z��'��Ґ!��?���@�
��k�=�S�97�e�L��Žk: ��[
�f�$���\=r����b�����U"@4��`e �Y�U����e˖

�Â��H�	Jؓ���HGozi0
|��R|�A�6d	��>ɪ5=����]f��O��#-nT8e��p���H�I�̾C���*��c�u1c����V�5��V2XߜK���N{\��ro%�"�٭����*�$P^g�p�a
�<h*��Vڊb�D?�m��Gi�nu�B�SJ���=�T��^0#��vj��M��B�@�p��e�*�
��چ,[��9�_NK]�5�Cˣ�o�+X��<[(|��j'�����#p��)��y�'�t^��:OȂ��I�s+���Fz6�M�G��n�e�ζ��jә��@�o�^��eU�j������L�����_����
��Nj��i�E�嶋]��������R��ޠ�'�f�N��z
�FV�wҜ�2O� O�"zkVȟ:�����'b���COg�Ϟ�w����8���<� qq���c-����L4��@#͙
��T�6�;d`P?I���+0�J��Gj���*)>
-���1
���>�Z�`!	����� ז�
�%{�v�Rl1j+%#.��ՠ��'yi�`�Ø"Z��?pP *Y񥸾�9R�	�n/��2OXU�H0+�b
|6hM��KNOd�tQ�1kO}b��8,�d��.A8����)�4�dϣ���Q�f�k���[�a��ׁ7���}|� �+j�O���L�ʹ� 	��51K�=��Ū���M��Ԯ���{~�� Cy����q��y������#�uD�@cŕ�QԦz�+;�
�n6����m���?����I��_oC�]E��
�
�3����7�n��*�Bendstream
+xڥ�n���_��J�x纻mS�
� E�WI�eȥ�F".��3sΙ�YΊ+��69�s���z���{�^I)Zk�n�W�Z���jDe`e󯅺�
q��ۿ�}/�I�J#Z�^U�����>w���g����Z��8�ZE�~��v�O
���S�)]�4�^�=���j':�

�i��Sr�_���Ο�w?��#�l&�Ե��Y�p�|��ϻ�u˜�%�V��O��S����?&��J����iw at F`���=��R9‰L��?��=�L�b at x�(5�"@}��U%��WKУ1. �/kqi�6�#��Hz8�q���CI��5��Wp��R	�r���W���X����HE�
�u�����iE����N'��9�;�cրπ�E�"�1JQiM�4#Z�W���aqJ���|͖�L��0
0��0P�K]���p��Q
�(�M=�D�vD]@���n�(�M�-5��e���Oٞ��4�
\�6rq�nX����
��p���8�u�N��w���Q���>"���T
+^JT
�V�~2x�5 �-��^>t�:D�n�
MW���>�u��wtk�:\���)���O���5M
�x4<���Kq-p��nK�N
Sɘ�d�f�$�F(���_0RP�-�U�>���u�i{�t��V�|	,�W�٨V��Z
�l�Mc����uDsq�ZؾA�!�?�g�?�0(;0˭��v��Ub�|��
+H�WKH�P�`4\Z�3ai\��gy�+y�l'XLm�K�c�+���J�Y�Ạ*�D
&�b�SPO��5
(���b@�q��f
$������T�
�:�R�|�$H�`��zW�M��*!��0gQN�8]��xH�为\�i�2��J٨��C1$%�Y��G~T�.�6i-��x��~p�?���_vTj��
9��\|�"�b`��E}(]]և��ᱟ��k���6��eߌhl���])u����4��0q��*)L�^eA��5E]�%yYմ
�.ե��z�Ot�Mur��������H�hc����>-����{��k2i�0Mq�� V�b?�ְ�cHIMCO�cB~�ߊ�5�F��eٔ��*�
���L��0��lc�'�F�&5 at O��g�Q�
��ce+��d�л�ػN�X��ɦL
4���gu�_{���c_ƽt��H��fn�����
��;jk��������f �$��c"�;.פZ|w�����
��σW QG3x�9*T��������w�*�K��4�Э^p3qb�/���Ñ
��_7c��%:Q�,@�����	���57؝��@\
�c�\Z��/J�/�$Ƶ��
�#w�
R�>��)�k1��
��-h 91��B�`�x?k<`���o��E��kȸ��Nm�8���j8(

��#g���F�<�J�E��A{D� d�Qh6�sc2�&?�I�Hct�)�m�k�n�
+b�����wm�|b�hCA1���5K�1)ƨ�	�~���'﹝�"�߳��e�f
�͈] ��у���$Q�A䰒Z��i�`��jF��K���	/���

$�c�4$X�b)�j귩�s
(�
p���F��^|�j	rB�$�	�	�̬����BDBHa�,�Vrn:Һ!�1=���?k]O����i}����zt<�bmC�x;�.��v
NL�J�:QB������q˹eD���˵��/�z��v�P$}�Z���I�}�n;Qh�֋25�a���*��\~�ՙ����s�
�Z(#_�c�
��F�}<���Ƈ�Ǒ$��0h�{��Kң9�
FB
!D=�4�S��Ծ+���c��ƒ�(2�p���F�a�P�('���,�ʼn��7{<�8���})���
P��<�g?��+V;x��ɣ�?�����/e4�vEY����Kk:���~$0i�O=4�Fͱ��.��qʾ�
��P�5ؑ
�Ҙ
���b|�3��8��t����2�E at e��T��I�W����;�KpԊ��
;��(F��6wY��@'FU]������v�e�'�X�܏t���.�E�2!M
������
�B�f�ʢ�
+�;�����\����RX��3��
,-qLxr�m�
+���p&�ϳg)�Y|���Ee�	��ǜ��?;F��q�X�8+!m
�|�H����e��
��dG#�ꜻ$P�^
��,�<���ݷ:Z��&�q/��,��
+��`"��_F�GM�_*
�8�+��.��B��
VQ�0Uk�_�����i�J�8���gz��
Ƿ#�-5��E#��]�H���*�
���bilk	����>�c��w����z9_��{AB|���w�,����i|�����!FZ�?�T���j�13�J0s�y"^�k9uf���B�񱯖��u��sm
$��#4���H��Gz�B�u
����m� T�G�0�	�y
f�
*x����,��6}�m]�ǟlt5+��;c�<K5g�>}�
+�	;Y�g�]l��
��e�|z��/��ͅGq�#�v<
!�y��:����x_��!�
	�a�53��&���`�`���a_L��M�H�o�SlNtd �\��J��9�!ίH�����
+�\�ZZ���O�Q��.�t�Eϋ$�$@���6��R�.��)a�#��f��[��3�����S9R��%3���Ξ��O��H��wd��u
U�o����a��k��eN��fQ5<����
�Uӏ�#x����/�bN2�9�
+� -���I�x����K��BEh7(�uL ��3VVc$�N���-���0��%X��G����� i
�M��Y��yw���?Fendstream
 endobj
-966 0 obj <<
+961 0 obj <<
 /Type /Page
-/Contents 967 0 R
-/Resources 965 0 R
+/Contents 962 0 R
+/Resources 960 0 R
 /MediaBox [0 0 612 792]
-/Parent 964 0 R
-/Annots [ 970 0 R 974 0 R ]
+/Parent 959 0 R
+/Annots [ 965 0 R 969 0 R ]
 >> endobj
-970 0 obj <<
+965 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [237.378 661.386 263.433 674.006]
+/Rect [237.349 661.392 263.359 673.935]
 /Subtype /Link
 /A << /S /GoTo /D (section*.19) >>
 >> endobj
-974 0 obj <<
+969 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [235.772 169.149 261.826 181.768]
+/Rect [235.728 169.218 261.738 181.761]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.3) >>
 >> endobj
-968 0 obj <<
-/D [966 0 R /XYZ 72 720 null]
+963 0 obj <<
+/D [961 0 R /XYZ 72 720 null]
 >> endobj
-969 0 obj <<
-/D [966 0 R /XYZ 72 720 null]
+964 0 obj <<
+/D [961 0 R /XYZ 72 720 null]
 >> endobj
-971 0 obj <<
-/D [966 0 R /XYZ 72 526.061 null]
+966 0 obj <<
+/D [961 0 R /XYZ 72 526.063 null]
 >> endobj
-972 0 obj <<
-/D [966 0 R /XYZ 72 432.08 null]
+967 0 obj <<
+/D [961 0 R /XYZ 72 432.08 null]
 >> endobj
 82 0 obj <<
-/D [966 0 R /XYZ 72 306.924 null]
+/D [961 0 R /XYZ 72 306.951 null]
 >> endobj
-973 0 obj <<
-/D [966 0 R /XYZ 72 213.483 null]
+968 0 obj <<
+/D [961 0 R /XYZ 72 213.552 null]
 >> endobj
-965 0 obj <<
-/Font << /F26 548 0 R /F67 564 0 R /F70 642 0 R /F76 747 0 R /F29 672 0 R >>
+960 0 obj <<
+/Font << /F29 544 0 R /F114 560 0 R /F126 638 0 R /F142 743 0 R /F32 667 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-978 0 obj <<
-/Length 2151      
+973 0 obj <<
+/Length 2261      
 /Filter /FlateDecode
 >>
 stream
-xڵY[o�F~ϯp�B�!���	����F
��SR��4��R�KR����܆y���Ś˙3���3��}w&gJ�y
�]m���,
2?�0[���,~���tJ�2?�ҳ�(�g��P�*Ʌ�k�~������3��Bym��͚����
-\,��J���p
CXU^ez�G��δù�l�76H��Z�ㅲ�K
��7��3��
k��%�����'�DI�V�ҡo��y$���%�O�-5����l���u�J��S aY�Ń){�^����J.��~gBu(��9�
�&^E�ܘ���]�Z Ŗ	ݺ�0��\�偻U>�����?
jM�,\�i?	�~>�3��y���y��0tH�ֆ�m�|WfT���

-/&���kӒTr����n������[9oU$�M[��K
����b	?��RK��q
�F~�iR��b+m�~
9B��/���
-P,
�����ޛ��2���)O��Ԁv0)h
-�9�x����
�M N�?#e��|+�J��x7I�܊���c���0�o��
�Ur�M�/���
m߸�?	>��m�����t�
���
�$Ը�Y��%,pqQ� �k6�ah��S
�[L`\�Eͣֈ�i�
-�HMm�q���
G7#�cp�p���Q��}��d�I:a
-�)?��D��Aw�
-��4�~�4���-*EVi�������72z�:�޶�x�&�1�1	�e_.�og�mC�f�M��5+���֑%�IvT^�&�wؖI�pU���hD��A8)I?�7��m�S�rr�+|�}[ϲ�!��m(Ёu�9ֿXo
NL#?�,L_�G��s�l�gy(dE�vp�(PZ
��[�t�
�qq� ٓ�A��{�2�$��
�M`\��H�}�	��9̀n?�+X):�p*��eP��kW*C�
��/]���rx��9�q0H|�O=���=w��t�c%�g|��Hm�=T'DiX��.�7,�?��Ze\����t�5@��~�5�^(!6������l]Bw_�,1��P�h��Mk5�,�E�w��8�AqT���BNX@�&�8���P�a�"va� ;N;�P��w��Zr�7P�
[�
-��g�E������ $׶ӥ;�]YQ�����ց�֬G>-��ؑ�
�w�Df�nsGk�81��q��,�����J��ۮ�
�̻ҿH�U��q�j�
N�eif��;�:�[��Z�q��T��?�u�8bC��@�)Ԙ�����2�mWl��
�,
�Yg�k+
�V\��"m܋+���&����ŤP|����hZ矪��塤�滢��4r�b��خR��&3������Jb���X�����z�0�|��P~#~0a���P{1G�����o�U
/A�I�f��
'+4�ta�/`�;bT$<�%
${(a<J�����G$B�Y�U�ǡ���Z�a~UL"�kk��M58.V��D�P
<s�����_����%L~y'3����TA����czaP���s����V����Ih�!�goX;:��!z'A������y
����ڕ���6�����J �s|ڈ��E�O:����>��ގl��:�����(�
uZ롅}
-�=
-��@?@�0����2�C��ād���
��I�
��ݯ}��x�3�C��o�?
gT�;�a�3���
�,7�{l�?nCa��EY�����!Qɤy��,���'�,cJ����QG
��� ����;�dl�\<4��&��zA�&l*N�)X;l�-r<�~
1u��CG����/;����mA� Lm#`���R�i���;�I��R������R?T�<�0n�:`;b���8�3TD����PWy�%�̤���f����
��1��D<
�G��J`h�|�⡝�E�6~�D�����)�
KU��R�~��k��;���:�{�|��ʱ=-P󤌒 �ꄏ�b��Su
-�B��wK�}l��b)UC�wЉ'?�yb�x51\4x��P�W������h���
gBE�-�fS]���M�(a�E�;w�]8��� x�O�4~x:q
��b�=]��yTh�
-m�(�x����
J0I)�V��xe�H�
Z�C ~*�d at 4�y��?�Oj�V?E6x��Ab-Q�}nF�쟊n�Y��<��
 �w
X_q2䙟e!� ~3R*Lp�ٻ�g��w[endstream
+x��Ym����_qnD,f����b�M�E� ��S
���wVr�M$����;C��.��F�����p8|f��߮�|�R4��F닫�Z\ԕe���叓o�|�M��Ǘ/��8n���E�F�u;?&%8��!�$mෛ�d%����_��jҾw]~�
~
|i��+&�Z�V�]ш7��|'{���k���m�Bz�;���w��E\o�m��W4�MgJ��߯��ǩ�nؽWtI���M6�#SJS��(2Ϫ`?ɚ&�{IN�=�������q�S���
gRh�zG�*L�h͌�i�wd�M�t��!?�aE�q��߹���mb���Ʒ�I6*����m�ٌ
�lӜi3z��6LS�a$�^&��K�QL�`�`��ds5���P��W2�� .`-�x=�
0&��u&��v�:Ӹy<���t�h��r�]܈�.
x�,L�y��_�3��~U����L�L'���bϧ3��`
>�ܝ*��~إ�
�{gV9��7�r��
��#���N����BD�OIgͬ#�A�J� %u [...]
�{��9)�)�2ìi�8���@6��3%�R��V�Ez�+��.�@|�Z�q!S��h
ơ)AA�s�o�QZ
���ו��|K�������Y��'�t=���){x������9d*9u9���Y���o�}�~~5p��Zu1��Up�����
�q1'
+T��>�I�BP���m3 ��
,��
�?�-��x��8��Q��Wn�P�y0e�r���\G at q�l�;�57��Qn��z��6��\/��:Z�H7r�ǀ�l�A��PGl���;ߴ	����.���]��v��gI�Sv��_���j
���zE�yQ��HYC4
_����
+#_¨���G�˭�E�ts���g�
TMu��nŋ�}J�ME�,�[�!u�_ð�
��0�Y��̘`�"$��̮O����m��\�}v@�k�Çgh�:��-�X詍�L�zT��z�� ��j�{������_��W~n���~���ȁ'�b�:��A匃T`1�b�PJQ|Z
|9[^�u�l����A���$?Ez�X
o
+���4&��`�驩�E�m&.>ܻ6xx
����8m2������w���
sO���8��+7
�
�^

�Ϗ8�
9�v���*���XA�\SQ��
�k��m�c�k�4�&Uu�b|
5�`��=:�Y]��4Xtd�>|;�Rݏ*�m]�AA
�ހ,���
J
��;��񐳺�g�ï�2[����K��2��'+�R0
q��q����D���ڍ �"a V�
N���ܤ`�J�K��_���rN�%-�=�$�7���Ԋx�����x�卖b0���R-˴�)S|?b��iʸ�-�*⣌�*>��V�[�o�eŠ;J�NЈ���g�p3�e�e�9�0{_��&�Skji%k�(�ԏ�
Y��̭G��ؐ�ǐ��H*�i�ndo��a�[
��d�eq�P�X�O-�x����'Wl�\w�
2��X3����
�'?{L��5�
+�hN�ϔ *�����$�DŽZHI8|4��O
��E�l*V�:
���W������6f�B��*�j���.~CX%�E��IC.��ا'�Wh��CĨX�t��d!�
	H�Q���>�<=�Tj
Ǝ�_Sg71�
��1��[���ܘ���
�uR�l�	�b�8���0��	p5��K�*��oK|`@�2�����42��ㅓU�:gD����)𓘦�����eו��B�(E�:2��O(h�Cz��^���`j3��դ��W�P�@�9pR�z�>.���o.��Q1B�H��@Hz6Bz
�P��Bg೨k�U�;ä́�# w=�x�Ua����+D��L�5�@��)�!'�di���컻��|f�/��j]��HNy�@�{2��?m�	����3D3n���
&
��cӇ�+P��	��1
�
J�x�|rV���2���c��kU�ɫs(<o�����8���tCW��4�~r�M,�e�󏋡��I��
�IJ׮���O!�מ[����L{>����9
��<P7�8�jJ
@���B2��
��R�=��
s ��8 at E��H�aއ�����l:h�%u�c\�L`��K��ޤ0f�����{^��J{���z�_v57endstream
 endobj
-977 0 obj <<
+972 0 obj <<
 /Type /Page
-/Contents 978 0 R
-/Resources 976 0 R
+/Contents 973 0 R
+/Resources 971 0 R
 /MediaBox [0 0 612 792]
-/Parent 964 0 R
+/Parent 959 0 R
 >> endobj
-979 0 obj <<
-/D [977 0 R /XYZ 72 720 null]
+974 0 obj <<
+/D [972 0 R /XYZ 72 720 null]
 >> endobj
-975 0 obj <<
-/D [977 0 R /XYZ 72 552.56 null]
+970 0 obj <<
+/D [972 0 R /XYZ 72 552.589 null]
 >> endobj
-976 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R /F29 672 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R >>
+971 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F32 667 0 R /F126 638 0 R /F149 920 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-982 0 obj <<
-/Length 1954      
+977 0 obj <<
+/Length 2050      
 /Filter /FlateDecode
 >>
 stream
-x��X�o�D����K�����g�!�> ���t=���%��.v�6<󛙵��m
��wwv�gvf�[�zs��'�y
�,�OLh��'i�aDKWf����f�2|�!�
�
��;���znf����g[���ubNe��v*���W�
��\�����_��2��N“���(J���6>+��g˟h��;?��O?���8��G���ގg���C �K܀t�"�h�.�Ѥ����ª�C
��������W� ��u0!�E���5��|J��U��i�
-��f�;����p���R~�0
�?V�VxF�cO��﬚-k^�V�fƊ{sn���.l�^����y>�gv֐e\���6���m
-��p�R��5PA'��>���<
�
�)�Є��Bn
�N�	�-Ġٶ�U+�o��|A�ʶ8�F2� ���=
�o���
���$��Q�
[�~BK&
�4#@ 절<&��M.OFTi��B�j�	�$ec� ���0A8	L���1�4viW������*��L �
�/F���_7
j�`�H"�!u�;�VЄu��^I �鯷L�55NSb�����i��S��{���8�ú N�gT�8���n�֝�Ų984�9s+svd�VGN%}>����0�t}�=�N`I�=���8�b���o	͏�9��rq%
U�+v�~rW�C
�t��}��6E�9 �ٜd�Fr.���F6���
Ys�d�jŔ�8kfw�>�9ZN�@�{��cH^��ok�-��ק�Z�XZ'bp1�y�F��uv�N��U��*i!�D�Ύ4E�H�ah���-
�Ϫ��$�y4��{L�mh�4�
	����t[o�e'�I�8Ώ0-�%籄 ����
-����� ��~Z��D�$w0�T%�x>Jx8����t�!N#	��8
l[���j�[�~��3Lr3�§����N{����MA(��C(WӅ5�d

�0V�}�B
=��s��#�7~F��}_���;�04�
�9����dH�|By�lW*��V�E
g.���[�(�7,�ܐ����}։�E��3���j�FQ��ݭ�QL�
���;,�sWu`/����l!
E�YU����O$�$�Ľ�s���WSo�ڵ����
��p*�<��Ae{�xQ`Bֆ���P������G&�]�
Ɨb ͢����[	��
�7��l�X�JZwZw.d�֢����5���
���jy��-8���ۡ�
A�M���[Y��1��
�T��x���}N�kģ�Z�M�QU�}}8]X��O\H�=.oO!�G��0�Ɠ�^3���.ֆq63:F:��q�f��k;>ju�u��QstT��7>�tLt��Q��V.������7�_�`�����^ѽ�,�3�7oo�#������#�3Ok��
�]U��7�e�7��f��-� �Uڽ~��r�
U�Y�9W� �
���g�wk�9��8���S��W�ƺ8
����7�( w%\ٷD�
l���	@��;
�)�zm��N�����I�mE��$�}�΄�h��[��"W��]�~ǂ����+Tܬ�mͶ��`����

3��g9��3��jA���o��
fxE)�dB�Oi�v���Ty�Z�����[����}�
��>�=�|꟪��E���,GL����>� �{`88��Cd<HU>>����LjèF�[ǵR9\Y�=
-.t�+כ'����z���m�ͅ	E�(�P�����C�+�qx8
��4�(����g��A&Rc*��\�\�8���~��
u�;!�
����f1a��j&ڜ��/��d�����F'r��j��Qk���F���:nt�>��T��H�_�
gh�^U{h�R��[Hw�U�]�@+w�R�f
-�X�}���=���mЁ����cefi�%�'|���X�U�Cߞ[�#v�VB�׭t�<��m����[��,	"q>Os+/)v^�[��]5�[endstream
+x��Y_o�6
�8�@w�
믭`
��ð�-{j
+�I��$��I� ��(J�l��ڠE�C�D��#)Q����
2�g�F��������Zͪ�.J	]go���bb��\�X2QW����>Z��<��l��?����kxn��
	�ח���
��O�5�/�
�
�J�+�(x%g%J��$KRE�8<�x��J
��9�F������d�к�-��R#�[��{**y�������)�g�x�?��
<�}2��~N3��^ٷd
�ޤ�R�pU�}
+�V�w��ZZ��p�Zr���J.
+c�6�0"x�,�  ���"L���U�(f�W��H�޳�p�*
Q�/?O��n��7�Aw
f]-�}%���ҦZJ��]�S��n�� ޜڽ\W
+���3���C
ka�
�Pۊ��5G~�d”`^������`󏶣=���޸_�����dr�im����(��F��P*K
�ߒ^NBw�aquJ(���ۗ\�ۛ�l ۩WQ
�w�߃�8���c,;R��$AO���!�zVF&G�Je�ƲTyY�iY3�f*�>�
� L
��Z���˙yLۤ�
����u�/�K-��х]֝�HӸ���+��$�Ȃ 㔓Ŋx��J�6i|
ٴ6Q���BX�
+����� ����?o�o�u�B��zU���!s0�`��_��c,��/uo"K�mƁm�Q�Bj���6��0f L2Z�=W���6��6�!���*%h��x�D�1���Ar�Z�s9�_�7�l�@�52�\G�{�{E ^�E�"��X�`P�.�^�v�>�
 9�%@�E]�Y":�ָa�L(T����G�qY�
�>
^�.H�����=�aI������+ �R��p�h;��bU����蓂6I���3zV��}���I�t��-������`�S�`3G�h��6�|d�!�w0~���*Y�G'L�L��+rq6֥����-
0�=0DY�m�1ge>�U�Ջ-�l"�1~'*����~N�J*ȳ~Ǻ¸AɮƦ=$�Xr~̄
�� >F!�L�#|�����b��[�!����To6�3�S^�
1k" ٝ�,�����0���h��(��Me�%ƚ�uCW�ʮ�Z�AP�f>/�{��\�ժ�X�k63�
;$�t�C�z��K�d�w�' �rK�#֝FdAT97
+�Oz�蚰������i��=����
�_�@��^��ݟدFG�_��ϥ{͇d�cV%�D�՞����;*�\�|+��z��""��L��g�e
�o�"���f�r�4f��r���A= ��Fe����(���ѱ�e4������ĸKb��
��3������Ũ��VpFU�ѹ�^�x�N����x���
+<Ā��VSk"
<#ǁ?;?
�<���
�'_
�'��#�8%�ۡ
A8�:�9��ȕ�{%�Ʀ����z o�ȁ�"V�̎��vƙ��(؊�����?8
�Zv$/�)��^+�I�j�伄P����Sj�#���G�ʿe�Z_$�f\+�"*w���ϳ�$�W�V�Ț|���'^�<
�:WB5֢0�?=>b59
��F��,'r
�zY�Zn��wW��
���m���N�n�s�����v�.*%7%�
��LM�2?i߭�c|a[/����ׁa�V�_�N+=\�.�t"�퉮G	�EL+]�B���
^eY�����3�bB�[�̓����[bH_�����WT~f�Et�ۆ̒� Q��x���"�<����Q7�]t�n{ͯ�+�t�'���a�6��k8�
���
�i����v�5��XL���P

vX�f�>�M��yl��
�Oۮ�\��!�Ֆ���A��֍M�J�ʒr�2c�ѽ@ƿ�T0t��z���?�k�R׾�(dZ���c�k��NOr_����ڢ�@�+
+��J�e���h)��M/l�>g�2�9��E�6��lW���$n�j�Q�>��й��H���nu9�.��p.�:������KK��r m�����oµ<Nm\���!0w�pX����UЅ.*�ݽPWv��OG��So2�endstream
 endobj
-981 0 obj <<
+976 0 obj <<
 /Type /Page
-/Contents 982 0 R
-/Resources 980 0 R
+/Contents 977 0 R
+/Resources 975 0 R
 /MediaBox [0 0 612 792]
-/Parent 964 0 R
+/Parent 959 0 R
 >> endobj
-983 0 obj <<
-/D [981 0 R /XYZ 72 720 null]
+978 0 obj <<
+/D [976 0 R /XYZ 72 720 null]
 >> endobj
-980 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F32 668 0 R /F78 924 0 R >>
+975 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-986 0 obj <<
-/Length 2528      
+981 0 obj <<
+/Length 2572      
 /Filter /FlateDecode
 >>
 stream
-xڽ�n���}��� k	�z���Lc��}�x�2���R�fF"R�ƀ?>ut7I��f$/b�U�uW�owo�ޤ�B)������BI%t_�22�����_��XE�_e,

�㏁%�×���ؙL3�Swh�&�J�o���}}�_V�����Kw��<X��m��ow�0�ȕ���HDQBO�|��Δ���3L�4���6�툷M"5�M{,
O�0� A}��?>��G�}H�l�|�ĕ��&����G�}��?�ϧ�
��=L~�t�D�I���{�I�
̴0f�d����
������V�{9�[��t�[��rHt���Hʤ)�2�=LJ ��&w�Ͻ�D!�ݠ���2��ϊ��8��3���O*wj�
~"�)���;��^�~{����tNF�_��S�
-
X����)��|��(����#�r	o�s�U
���G��J����1J%#g��|y9�ӂDm��5
�8���t:�% m�Ŧ%����

���
a^WS��ū��� ��#��:��W�����LU����J�K�$�,w�|[�U+ at p��G���Z�.�Ty9���
�o[7��@|����
i�A�gܱ��U�)(��
'�9�H��l��D�[&�+���QF�y�x�
_oH*e[;o�����|l�d��1�-��΂+�LD�Ǚ�L򪚥B&�0�4v�C�7���E��o��Ȉ���}ft�ҽ��l�Q�p
-x��ZI
��U����Y��
��8��2�LS�\�I����Y��R���q'�
Qe
~�h	��&R��)��;�	�
�
N��%��%W8~(�Ŋ/?Mc���m	�:ń$Yt���V�
/���W9����L C�<L�%J#T
�
s0��7FX-��"Z�

[1�𬔑�@,J�BB*kox��
nb�O�	`ݩ]� �
Cp�m�p��(F����[ևc�G�I�䜐�D�R�c�
x��� )�PȁeVa�B���"&h�N�$�GUo�
�Q�y�6
-V��d3�%�=
)C CHM���I�T�,�W�u���~����d9�*e�|��)A
R�u�Ɠۀl���i��9iFf�6�:� ���-�5k�A�.�̻�n���� ��x��~�V!����C? (��"����v��a��|�
��z�Z�{�{�g�u�A�{$
�#���4�|�d����^�l[�w�X��*�g��:�Dĉ�aO�fL�2�S�_;���`�(�X$!�c
�a�O`x7F�R�0�����0鬓*5��Kr]��#x0�`X3L�e֯t={����ՠ�����Te���@Ug0��������gcŔ߹\�t���
�GmT�D�Ќ k�=�A��^��(��!�
�+7���u�|��qk7hUp��|�����Ab
��
�p1�[P�y�\�
�R
��c4����|Սҥÿ
��|mw�<�����0�eJ�X�K>��ñ�5�W�Q�|��~�'h�Wj[���5���m�9
���˞lh
�V���Ċ�|7������Ţ���
l��}@`U��"��;�
4/���b�^��O��8
��3�w|f^8�U�h��6L�s�J��3�ʳh�g���Uj��=)��W��k����0���C�U���p`��R�OTSj	#4��)ɑ���r�"΍y'���R
�$R/�x
�k
�h9�LX����?P~��D��:��t�gy�P�]U�&��
;��؀�Ҟ���;:�#�Re&�T�P"�{��B�{���������]�f	�
��b���δ��#�Ԍ��c;o�����uh=��kr>�~e�_��:����*sû�T�vm�
kj�YZN�^ĉ$�s
-w������_qj��CY<��
p�B��-p�)(������z���U�Rȧ  f;D��{+h�*p
\3�}�Q������a�
樂9
Ґ}}�Q

-Tʊc�X;�Ug%р"{����}�QA�i�
-�#P��s_;�ƚ$��~�uv���N
-pX�I�a�H��n_z$�8�϶�o�sab�{�>�ʁ��(��D�#��"��L������G"��Tľ#ĝ���|F{�뺡c��D.}=�AHŞ��ܓRQ
r�8
gB�\�z�&��W�_��Sp�Fvr�I
)�ݗ���Ÿ��_
�*Q���F��u*r�Ϋ}F�
�^���BA�����
Gd���^Gȃ4Zv�E�w1��f�k;/Y�m�P�+1
�|��@��w�=S�������ǘ�a����\�2H����B^n�FE?Ɔ�ZܭkwFpMG�.wGq{$��)+P�g� W�g�)�&�������<w:�r;�y��?3��W�m
xb�n
�hl#�-߸�]����,jk�

�.�V^	��q��)� 
-�FR׈������z�ĕ��\������s6��kj�є���M�!�
�F�a�B���W���R��
-��[J~8-����"N�F�2�ˮ�항4���ː
�p
-
�X
-MO�
{���Ϳ��endstream
+x���n��}��H�d
x^E��h�I�a��%	��X^�Y{��/Y`?���!u(Q3Z�}F������ً/O�l��`�1Gg�G�
&sd�c\ë�_V_��P�_���b��O_�o`Aħ���
��R��T�
+�N�w@���[�.
+XY������
8�-�Hḯ0G<��O)�6�� ���	����������.�&܊U.��h��c�rGk���M����o�k����d坪���2���
k���*���'k�d���m�*l�0�0״^��gp�
+����6"9�ۿ��\?=�5
+��P�3�
2
+� �sFa>�Q�W3��K�Yw��~@���aI��k�–�R�5
��a��Af�Noĥ'|�<לV�̨�N[RSӷf�
�U��z��\x�Ѻ
|�H���W��?�)�\p̮>��b��³(@I��m��W�Q)W�X+�mh���9@}^�(�$�"-^1��w#)���
>z�z!�i1,y��
+U���d#x`�
�
wEw9&�7o�ײ�0�k$��C)(<�������v9�.��.�>ʴ�� {��Hp�ra�ǀ�)��h$S��!O�CteA��m{�
I=+�r�������̻W��� �il�5�{���9��HA
�6�1���`�V��G/�@&.v!�{
t���
+�j���E^S
�wCr��������p�
5���
"��V�F+K��љs�E,Q�~�y���)�+�eN��J��~�0����T�%��2�
!/;�D�� �q������V�T*+�l��%g��]*b .I�1�$��8�J,� �҇�r��b����U|Y�-�-DG�� 5�o��>��
9@�xl�j��
O��c���aG����M�y@���b��t���݌c���&��
���
�隨���
�c�����+boAr��E���y\�ͤZ�+��G�Y1�w��m�z=�
��}C
J���w��mwRӵ����-¹��c��qv�E(Pü{�EV�Ԝ֐]���=
�7����k1W � 4��+�)oI:˖)�L�
	D�B=������
(�s��2U]ԩ�0��Z	&�
+~�e_]�
<z���|�d��U c
��6�������������a�W�@s��.�DWڎ��E�
 �U9`�wd�$s�y�Ŕ�WCY��ğ�B�0�R���/���
#~��ד굘����8l�}��N���t M�t
+t����>�n�#��ĵ8���֊��a*'�GR����8���ݿQhđ	�"��*��sc��5��E�Vrn㯪�(RPPt��� ���H�$b[�w�m�	g@��7���Ad)R�1��z�*�	d���ZH!8��&�<��lf3 �B�,�X��.�oqt�
�/�:
 �q���n�3�����E�o2�!`&v^�ͱy-��^��+�(9�%�MgW]���l�X�
�Om��ע]: �x�t dۥӺ�|
+��
��ًxގ��<aDy\�VU�Ӎ�4��5t�J|���T�ɵ2�5��OMs�''�q��@�����ǧg�cO�zK�@ĵC�:j�y:����z�lL[Ķ�!lH݆M.HZ.c�����~�
+�I��uRD~&�E@��K
�|ȣ�����Y'>Ik ��~@��$����=�
B�ew�2?Ћ���:hU�ku�~�U(Lb���'���ˡA�nSق��6��ʖ����B�O�2���R
+�j��hB��Œ��n_�[�#�m�#��Ar.����3���5^D�?gg#�5�&�̡ᴤ���
��
����4���4�q��J<B2�8l��'B��s���L"�f���[Ŭr�I��٧4�
M�R�T�-�Э
HUԈ�9Ɍy��2��ė�ᬅ
1���4�=l��
��,MJ�+�:�#𮡇'�\$~Bg-����nx��u8,����x�{����%�
|>j�."9W�缀YmKh��Ov�a �rg��e�m����Ϛ�Ěƅ�Բ�
�Ǣ!���0L�|<-:?h��y$>�D��M�����d�
e?
+
���?9]�3��0�P���p���Ԫ����qږǺ�N�!NG-?
W�W ��&��9��'`k�!%�S?N4H���P�����F
N7���B
+�/�G�����h�����
L�cP�]D}'��O���l
"!9����O
t�h+~;
kg81>ȭ������>b����At��m�cT�b����R��20�$0�Z��Ț�	��zb��$�:�i@=�ARH	$c��3d��)9��)R+�|H�\�-�e�g�ZS��m�5���0��LOœ��@�vG΍z,�4 ���}t`��*��)�
��2$��J�w�j��p�� �z��+�e�3V/x>1f��u���Sq��u�H���R�d�4��o��8�kK��w�L�S���ᔹV�A��{
V�p��}A�᭄�D'g�1Ls�͵��Y��{F�@(j�g�>�J�3,Aws�����0ji/t��N"�o>��UQŴh���D�E
H��c9��� ʅ���^�]"FQn`
S�6��K�@x�1�I(`<��{8��۳���$endstream
 endobj
-985 0 obj <<
+980 0 obj <<
 /Type /Page
-/Contents 986 0 R
-/Resources 984 0 R
+/Contents 981 0 R
+/Resources 979 0 R
 /MediaBox [0 0 612 792]
-/Parent 964 0 R
-/Annots [ 989 0 R ]
+/Parent 959 0 R
+/Annots [ 984 0 R ]
 >> endobj
-989 0 obj <<
+984 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [284.768 370.934 310.823 383.553]
+/Rect [284.438 370.971 310.448 383.514]
 /Subtype /Link
 /A << /S /GoTo /D (section*.19) >>
 >> endobj
-987 0 obj <<
-/D [985 0 R /XYZ 72 720 null]
+982 0 obj <<
+/D [980 0 R /XYZ 72 720 null]
 >> endobj
-988 0 obj <<
-/D [985 0 R /XYZ 72 507.422 null]
+983 0 obj <<
+/D [980 0 R /XYZ 72 507.46 null]
 >> endobj
-984 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F76 747 0 R /F67 564 0 R /F29 672 0 R >>
+979 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F142 743 0 R /F114 560 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-992 0 obj <<
-/Length 2108      
+987 0 obj <<
+/Length 2039      
 /Filter /FlateDecode
 >>
 stream
-xڵXI���ϯ�x1�cJX���2�N�n������˿��eW�����J�S�\�L���7_~4ɕ�*����U��8ί�0S����o������>Juл���M
�����;����_~L��<W6��Bbp_�`�f��i&�S��w��(ݙ-
����?
U>o< ���|�ߪ$̄���D�(�C5�]�x��ے5�*�
[,e�j������T��[�(7W{m��	�������=��Ræ0�R��
4
~�e&��ކI�;�O<)�fv��Z�
dC
\D.�p��i��(u !Òƍ_l�w�z�S��Ի��W-
;}�T�`�I��Hb�b
�ki
�X4��m�&�ڃ�-�
	�a����¯�7�����[o~���=����;��=
��-��r���9Wk�Ֆ���QgW?�Z�@[�Q_��{��xW�8ʞ�>
��4�ȳ�����էPےw��bK>�'6s�f^��v����q\�)�E�ħ�#'
�c7xnh��
�Sb�J��Sx���Р�{�����$�6��m��~'p2n?��\?�#������g�￞%1�g���5�5jw�)��sX�l+<��
-�����u=���8a@����3L���Q
Cu�6NR��W��R�8Y��3�3������)�6S���1��%����0�Y���Љ�D�l�g�Jq���c��
�Ar�V�}�8E�7��G�(��b�C5V
-d$3�������C�
�~���LS�j��Bj�
�%���ӆHg��	
��p���(.���/�
n�
@\�G���v-1L+�mP��lH'�lSH�8ԋ4:�Z��pp���
BW�n��T�8�w �
)�9H�HN���+q�#4c��
��I�q4.�����?��5���`j��&7c�-1�0����8'�Jk_���2����z��Xg�#{�PQ�N nt
G/�AxB��ņ��DJ�v-)�hٶ$���fK]
%�k�9S&�r��u�tji�O A:�g����o���Q���]6#�����^��rS
ò��
F[�	i�@f�����s�|x�bȱ*
-�U��X��
�-=c�I ��X/GS6�D�Z���4�м.Qop���tV�C��J 㗒��
�8<Q
��s�B
-)LuI�Ea2[j �/�Lb���lv�p�cV�d��Tꊾ�A�[�z�
�47�n;j9'�����9��W�%����#`"��s�8[w)
�#�V}jQQ�U,��ܻ��j�m�q���>�LX�)��X���N� ŏ(��XTr��+�؍�T��܆�e�+���(b3�@(�
�X҆-���6�3 ��'lЭe�I�	$T�����\�A+��@ïsI�옶��F�)�vRlL�
�(��v�/
4a���7T�в��\�����~�����|`��D�A��#�"�k�#�*gW�i#.J��et�đ�K�w��u
�@׵�6��
���eQ�n����6
*n��:���}/�;�n@���|���%K
-{��b�˖7�~F,a2���e��}��Q-�N�	�e�|�[��bs�Ҿh'��]@��z�q�
\+�H����x��M���^�-��[��O:�eWOM�s�
���xÇ� /[V +��ܰ�DV E���<TMU=O@�=�|�Vq���g�=
-k��&��<��׾~���XLТYe
o�3&�Rx���
C��h׈ݑ�/�*��;
���x]ä*�;��0lYn�0Uf�2�X�Zwp��6�?��[h	

��`D01�
-��p�+���ɷzT�w��3J5J�.z��]������tqI�7��'��������*�}�'�H�gi^8<����k#_���b��5�5�Y�6%]��t 1=��������L��r�w`6�CE�J��%J
-�E�����xn�^�"D"Zϫ��$�]��vQ��6��42M�z�"k��Ƨ�<ޖ�
�h��F�9?����g[�o�,C;Zެ��%���f�+|�B)xfi\'ΏؾIȱy26�o�E?r��@; �
>c�{�&�P��_�cn����I!�M�_z�٨5�]�t��
�U�d��,����F0
.m��F&�oo~�~��X
�endstream
+xڥYK��6
��W�tz��X����Lڙ�t���Mrpl9qk���7���@Q��6�z� 	| >�?]?y�J�WE���^]o�\�Y[_U��rO�of/7�y1k����׫�|�������|mf(�E��{��Pe���3��U��~�%|PaAҽ��:�m��~�[���U���~�N���.
�[���~
�K�uV��|���d�n�pkGFj�K���tn�9Lf����'�e�U�����*+��jQ�̘�}��-��5���4�/J�f�]�=q7_����^�r�{�_�=>x����ulF�} k�jɷk�M`'onp�i��ݐ�U��
�gMK24��Q�����$s�_�����a�2�]�/�,\�,�Iz2�Z��a^?�Gr�e��7��伺��]�p��.#�/�8��|��֔!v<_sd;��~r�e�"�h��`BMyd���)�{r��

+5�
؞H���b�
+�ނ$�in�W�c�{�Ë�L�
y
�~/�jy���#�xQ�1�+�eu��$i`�6���������*HhC8������d�~Z��4f��ŝ�d�N�l
;=X��ӏ����r��/�Yn�d;6�
�'�
����YW
�5^[s#��A/���I
n��ƖS��J�ն�e(߶[��
��Ky ��檊Š��OyR[�Y-U�L�����/�,"{o�ENY�G���L��
+�U��$�p��0��.z��1t��%$b�5d���?�ȹT
@$���e0�%�Չ��$�sNq�!!�J{)��2�\t^��.1�N���
+
+�FV��m��굍
���j����/0Hw��:�_�����+Q%��zJfX�2h>����6��:C����W~�g�VL���
:�$�0n���6��^���O*
�L�w��R��%.����bDl��(r
$Z8�Mz�Y8�'(����$���N2S��Q�xC����+Je�ebcJ��U��1m{�4���y�R֡�|��ґ����
���о䵃�"+��~�9�?~�܃��e�t9S���tMl��7*
��q�m�7)r1�T��V|�n��W�|�Dž�~N��d0��D
���սFD�� ܧ�5/�g!!oX��}.A�
_w��Ix�!�f��|`×�6��[��c2bd�c�g]OC5(�q��FՀʨ3���o+kf�<BD�dhȐ���_a,���Zv�қedS�<�
�a�?x���M��_��
j$S��n�f����9���V�1]?t
lX$�9�'\V��H&�J�����:�ȍh
n`&��S&�/JI��m;==�U���Nhb�[s�D
;�:9��i:��=�¥�㑎1c�㈶�
i�n�rl��� �Z�
>�mbL��� �l��tL#G�-��G��N���ഹ�36С���T�=��_wҼA������.��]6�^
�V��K��̘v�!�&��!��ˈ)��Ĕa����v��;G�)U}R`��y\�|�l�
Pǽ+
-�b^9�᠗]�bz̥"u��f巬<�{�N?[�(���ꇛn����2
�:͌�����T��a�a�b�hQ���H��f [...]
+/e�ɯ�/�u�
��
	�B��'�Z�Y���L^\��UY�9s�Ҙm��u����$��{`�}�xn[
����hИ
��
�ڗy�L��gE�e�v=�KTyJV�c�7������	�5�_�
�p;8+��t.[Y��O9M�<c�����"��U,|'q�_�~��^
�(f�
cF�B�ٔ���Ԙ�%��j�O&�)B���B���j%
N���I��n����W��� ���
)�S멿>��L�ݟ������BI�Y��BBW��'�^?��[e�endstream
 endobj
-991 0 obj <<
+986 0 obj <<
 /Type /Page
-/Contents 992 0 R
-/Resources 990 0 R
+/Contents 987 0 R
+/Resources 985 0 R
 /MediaBox [0 0 612 792]
-/Parent 964 0 R
-/Annots [ 994 0 R 997 0 R ]
+/Parent 959 0 R
+/Annots [ 989 0 R 992 0 R ]
 >> endobj
-994 0 obj <<
+989 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [410.094 505.969 427.044 518.589]
+/Rect [397.581 505.975 414.505 518.517]
 /Subtype /Link
 /A << /S /GoTo /D (section*.25) >>
 >> endobj
-997 0 obj <<
+992 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [365.795 413.109 403.877 427.057]
+/Rect [365.42 413.141 403.457 426.975]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/stats.shtml#amelia)>>
 >> endobj
-993 0 obj <<
-/D [991 0 R /XYZ 72 720 null]
+988 0 obj <<
+/D [986 0 R /XYZ 72 720 null]
 >> endobj
-995 0 obj <<
-/D [991 0 R /XYZ 72 453.624 null]
+990 0 obj <<
+/D [986 0 R /XYZ 72 453.661 null]
 >> endobj
-996 0 obj <<
-/D [991 0 R /XYZ 72 434.197 null]
+991 0 obj <<
+/D [986 0 R /XYZ 72 434.234 null]
 >> endobj
-998 0 obj <<
-/D [991 0 R /XYZ 72 409.124 null]
+993 0 obj <<
+/D [986 0 R /XYZ 72 409.156 null]
 >> endobj
-990 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F32 668 0 R /F67 564 0 R >>
+985 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1002 0 obj <<
-/Length 1661      
+997 0 obj <<
+/Length 1648      
 /Filter /FlateDecode
 >>
 stream
-xڭXێ�6}�W�Q"�7�ހ
� E�f��4(
[��[-�nү���e�ֻ[�Ŧ����px8���篍ͤf����2�23�1�uv1����O�"ߴ�v\(kr=�t�6�Y�=sB��-ɴ5~��;�,H��_�c��ϒ$V��f��eR�� ��`����ŸB����!^��pr ���I`�3
#�`}�wh_�ӱ�����7�A���uuq�Ʉ`�씔�	c�뱓��<"
4K��Mr�����z\@bV-�Q��?���86�cUG�|۷�E���Q��d��µ���դ����(H���l�P�q�n�΋눜����qe�B�L�����u�K@M&^�
����I��h�Μ �v:L����!}�,���v�&�oir��ȓX�^&�כd\rF(�<�5�|2�K���	��bVE��,7��|]�Wq�
���i/B,���j�q�����<�F�h��A���
b�
-�\i2��#{�d�{ޢ�	Rv_G��&��o^��
D���G��7'�ss�7b�EYE��
�����
��'�Bp�^�E���[�M�cUy<���Lr�_/F"X'2��RRd` ��Ȧ��?���x6���3�]v;"{���rD�C?���w;��+zh/���z)Y2�+嘉
���;j9�D)! 8�>��
jŖ-�#��
-��qF�� ��N�;��Ҫ;��4���8�)�����
���z��!F�=8
-G����f���[�
��ݓ�в�G"
k
8��.
8�\�$%���`8�R
�=h����xCV�
�;P\9�j��,b52��Z?dQ�D�{,��
�y����<�_!
�暲��Al�
�V�=�!� pUz�,�!@��^n@&�EP��� w_�F��6��D;,lbB7�
���I
-H�<�\+�G67`���Bw�JkPv's7D/IG�i���{`'<�Wk��/%�
54D
�ׁ0D>n�{�
�˗�>��<[����ɸ��A���\n���}��v�
rm+m
Oi�휨!���Ctm 'A���'�Aq�t2ي��`ūI��C�ځ=���*���u$��������2��!g>�(���!)z
-
�N2W;���a�r�㊉���{�.��uAH��?Pְ
��
��#�
�ኆk���HzYxd�2Ӹ1�q����I�c���.8����N
-츎�.�3��ǃ��n{]蕃��	�"
��9_�w�5��	�
�pa4b��,���>妊׺�ZE�,,ތ��
�|�'���k�=ÝMX����ẖ�����j:>���5U(
ωʩP@���]w��jśT
��5�UQb_‰@]�C��wU�P�!T$�H(R�i��:p*y�Us��&����5nH=�n�x" �)6D�)qh1Ɉ]��P�,��5��yQ��^�W�2<�Y9Y
��8Q	,�y�6�
g�=��痴�6ί��r���`;'��P�V��дu��Uo�UWV
FƧ�4���
-3��Pfk�k!)����>�#_�`�dY�ն�kSq|��ݶ
-��
-�
�4B�0YM�8kBe[�k����UB���TPz6`˷q��]�"쇯SѰ
�"�4�r��v�<(�A+
�]5�`_y��֛�I�"�"��:'M�T�R���+��+endstream
+xڭXێ9}�W�c"���
{�X-Hh�2��VC�Ì ��I��~O��n'�	��\ڮ.�*���l������9荒����Jϔ���������^���f���vV+g�z���EūZ慊��ɀ,��
+�u�N
��e
]��Y�u]/��2��Ia
F��9��
1���z��}�#|8ֹ��lv.s��8�
���S�)1��F��w3%A�]
��Oc�P	��i�KɄqq�g3/#8bQ��m&��kz^
��e�a-�t���Q�y�E�i��;716��~&]F�憗�[��e��'V��}
�z�*�Ec�{��H��M����C`�,&�L)_��0�e殝�ѺK���=��Z�����83�$��p��iyO�.����ϊ��_�Z�!�l��0*=�
(�
u�1����;�_A3o��Q̩�������y
gu����"5�L��dZ^q�l)�����K^���Z3��J�)����j�<V�bv�jF[�ɭ�~w֢0X��T�I��^�o� .��?�QD|jaG2���!���
9��S�
+�2N���V�����`+ �"��1m%��򤆿�Jv�?�&"�NT2�'*�'3��r����;^-&�z1�L_�Oh�"�j9!m�2?~�����|խ��������ŸT��9g"�_~
��Q4��'��W���+���b�,`�
N�Q+��Il��S#Ъ MS�a/��P���P��z�SNy�Q�6ֽ�U���%�o
�e���Cr9[(I+^�E'xLzZt��l/�aeJ�%y
+~83�k@ʱ1U,�AL���p�ۆ�<�j��)	��C���i�"��;��}?#Qq,sp�F_�V��{��ב�h�8�
�ʖB���B	13�jL"(�\��quD�*
{�5��
g#銙@�e�,�oD!�|�<�S�BJ����"�w
g(@�{���!1$=�*��A�.�
`�C�G�0�(�aMڰ�2���yX�k�l���CKK�KK;���1y��	�IF�w�dy�K{��S�,��VXb���� c
	�=
1�1�bL����8BH����>(.�FBH
�̹�X\M,e[gu�m�����b�&�
+�b
+#
�ԝ�t��J�t� R�F4˹ =.
�T�?彷����Ʉdt�+T�*^�F��is���AMd:�.O��H���{F�AZU�f�m��ُ7��h���fG�����u�`!�����N�]��%�!��C��
��b�)
���A���
�X
pV
������
�δ����;]ˍ8L�W�q���Tk�c+
w

�
�+}偊
�6P��
3�޶Ie�S��s��x�c�
��4�~s
b�d�#�P^
�P�uՏu�~>�w�f���]�#��Fm6��vjP���M*fͯ"BDz\d��zA�
���g�
^���FY
�/�\e�3��1�mt�P
#�Eu�6�y����c�c�t�1���G�wk���Ӌb��K
g�kFa6l�x�kG�Y���䗻�-
��l�gA����s��Zb7�6c�r��j��X�
�XB���`��M�Kɽ��l�����h��l���X;`A.���[�/i1BU�ϯ�S\�d�>�h���`�WW�=/����s�o�ˀ�]��,�f�zEMuo�I�)p��8���֖6�nޞ��vOendstream
 endobj
-1001 0 obj <<
+996 0 obj <<
 /Type /Page
-/Contents 1002 0 R
-/Resources 1000 0 R
+/Contents 997 0 R
+/Resources 995 0 R
 /MediaBox [0 0 612 792]
-/Parent 1018 0 R
+/Parent 1013 0 R
 >> endobj
-1003 0 obj <<
-/D [1001 0 R /XYZ 72 720 null]
+998 0 obj <<
+/D [996 0 R /XYZ 72 720 null]
 >> endobj
 86 0 obj <<
-/D [1001 0 R /XYZ 72 720 null]
+/D [996 0 R /XYZ 72 720 null]
 >> endobj
 90 0 obj <<
-/D [1001 0 R /XYZ 72 538.68 null]
+/D [996 0 R /XYZ 72 538.68 null]
 >> endobj
 94 0 obj <<
-/D [1001 0 R /XYZ 72 501.576 null]
+/D [996 0 R /XYZ 72 501.599 null]
 >> endobj
-1004 0 obj <<
-/D [1001 0 R /XYZ 153.352 444.068 null]
+999 0 obj <<
+/D [996 0 R /XYZ 153.543 444.213 null]
 >> endobj
-1017 0 obj <<
-/D [1001 0 R /XYZ 72 168.269 null]
+1012 0 obj <<
+/D [996 0 R /XYZ 72 168.414 null]
 >> endobj
-1000 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F80 1007 0 R /F81 1010 0 R /F18 1013 0 R /F22 1016 0 R /F70 642 0 R >>
+995 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F150 1002 0 R /F151 1005 0 R /F20 1008 0 R /F24 1011 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1021 0 obj <<
-/Length 2655      
+1016 0 obj <<
+/Length 2553      
 /Filter /FlateDecode
 >>
 stream
-xڵYYo
�~����=���d�F �Xټ�
l���
g��>�>���S�{�
A
-��y�b
_k~����Y~��*����Z��tt���
-c��#�lt��租��`�
R���MH4��v���]��A�ٚ,��
Gz�
�o�qL���l����殬* �C�pyH�,�r�7
k*����$�?��X
�0�e�;8!6����A;�qu��9{����4h{˃����U�'�7I����?�`{`�}	

%�r�5a�r��lu��8%&�@:w��@�صu]6{�&Lx5�����M�(9c�d�wWY
q��8�m��&΃�'�g����FcC�[���x�%��
�p���#*
�C|��������Ne�k�����՘�n;˭r�;��*����bI[������G&v��s�#�xo+��,���
��
�{�̲T�i�z3�f3Kt���0�����0�e�7
��0�����$c�;4bN�P���L;�@�,��M֭�--��
	kb�{����-HsY���&*�
-`)RY�ӔQ���ە�#���k�G���ύ����h�Qvg�X)��}�����H�
-��r@v<�8޹�BDb@@  �ۆ��E:lˊI���
��:ɖ�@��Ņ�`1{]d♏j$&L:�)��;2fp.V?
P�t�R�ƪD�	p��X6�����
x�yvm?���Ļ�lx�'�"WIf^��(U�֓K�\�<��h~tJ��>�A8�Y��0��9�e,�FF������2����"��⌽Ԯ!��ד#�-�c��{v��k`9	�����,�Gu��K�� ���E�no���w^�3��S'�U�=r�BOb�v{���

�N�3�l��ĥ
�y ��
��a4yz۲����8"&0T�(S�*�����d}t����$�4䫒=X.���B�B
�r?>݈<
7��)�
D���
�Y���K����d`{��d�
ە�N\�3��t���;|�<��SkW6�8��v����kɚ: �&�`��H
�E9���&�d
�̦�sX�	�Co-[���w`� w���X��yL���%�R��D-6�V_�4@�)��],�H�]	�h�J����.�	��x�s	g�Gχ�LES4�젖�]CC�I�
f�B���O���65����z
���Gi
|�v����^.8b�@��F?0��q
-���d�&�@Dڻ���&
��E�O ���q�
�����C�n�[Wy�!��\5�!.��3Y'���‡>��
��
� �A7"c��S2[ ��;�5ؘm
U���>�8�e,MJ�ſ
L�@H?�ip���(~
�������|,5t��
�@`@I�F�<����#�|'<�
Jx��Y����)
-
���
���孠
S�^
�PD��DH��4 	pv$�ۊ��ZE�8;�V�L����:��
!\ɟ$�q�w�QX>G��1b;xQ*����6O��L��A"_�ƱC�������E
��;��Ja��M�p 8 ~����K�g&�5?"3�7�~j���
U	�Z�/��%�*��X���(�E�Eu����.3>x
�4��Gd ��:c
z�q�m�jz��=h�
Cb|��F�r�LT>�W�U��+�#Q�ûO;m�new`"WY�\���$�\eʃ.���("��b��	Yw;�)�
-?`�md.�h.u�)��e��i1`ؕ�-��g���4�̏���~zD���2��įұQ����
ʣ0�`����Z�`S�J�����
�C�T7��(
��E_Fڏ;�%dh���� D�Qv�+:�g
���-'��ޗ���M�.4�Į��W%�
-5�U�_��B���̋�@�;�!��P
L6�&b��k��B��z�`u����/���l'R:1����d�2e䝜�*	�!o��D��x��\�e.*m�'���{���\�
x����;�
y	�Ԡ4�����7�P�.oJa�'Q�<���Qͫ
�E �*��o�"�L|���TC6�a3�!��* i�����ivҌP���E$
����4�3���g�O���֯����wk (җC)>s`��"^4�����kHskj����/)2��\��`�
��qOo�}uÉ9��V�ȃ\�
���R�AٯB�
�l�|�bQ��sӁ{w��\��3�m�Q����yB���Ԁ�
�q�������:�YJr���K
���\&
>�q\褦���(Lt�f�\h��Gy��
o*^
R0Lg�/����;�;<�Xb�8 k���Qrؓ���8�[Ęږ���*�ɔI8E�3�c�����z��;?���� 0p���b3	�al� �����R��?�!�ʣeT�N������'����MI��v��,A:��2�͓�\��|�*=^�>����I:��;�����(�ףּ��˲�W�Q��\�}���Y�Pu� �\����a����qaG/��[���%dr*t�
-
��2�/\f8T�u\�¶T.r�\pևiL�c�
� 4Ҷŋ
�s}��/��S�Rء�>�^�&�\q��
-�y租-Qw���J\ `�⫓%��S�T^ɫot�{q��#/�D/"u���ӛ� ���endstream
+xڭZ[o+�~?���K%4b��r/m�&����� i� Kk[�-�^���C{9�r�ڕd�>ȻK�ù|sY{��O�l/�V�s����)��E]4�(�����_�.�����O&'Uu�.
+����\ϺŃ�
w���T�U��������8_��
���-�l��j���藖#�T���T�f~�2x㯅+�E������%-���f�s� cO��{���W�nn��m<"P�
L���#��>�.���ْܹ�u{��_��k|U��ؽX��V��y�KU�2�2>.텱�l��S�9xM�I<����|�V�u���'��H�
4��%�gJ�;��K�8/:�}�B��r[T!rB�8	��G
���d%�L͸Y?���<���_w(k����
+_�c-�!X�Z=� ��)2����9
ݨF�g�؏t�P���=e�50Psw��v�����#�ٷ8Y]������\r2gl�deSfN����	G�
҇����Hp�`a��t���d�����U��Q�T^q
���P��I�8���
+��5��L[���(8g;����ر
��F����^NkG���
�u�1
�Q{�Z&P����Z�t\vXFv�]�
+�
�"�_���i�]`C�. �6�BgC���ab��֣��`c���n����l��H�#��[H���#��

y�F�~6q�H��g�!�g���(�9"â����6�60�4��B����|0J��c�mU���X��TS�P�u�l��/J��៟(��ϷBl�g/M�&��;Ѣe�4��߆��\E
���Q��BlBw���-S�2(���LG����gv?O�C�>�
�n��ژl�
0faX.u2[p�6�D�5��x��.���R�ʴ�.��i�.�$�\�J��a*ϓ�_Ң�p�`�nwJ��/��2$K��=�	t�|��\�
��3���<����+�=cp4
z���H�)�w�IR�г�����-ٜG���������(y��qw��ە��Fe��l�d�m��`qh�L;�p��=�̭v��8|�a�<�
�d#M� �[�E=[w��
�����l�
+�;|ng���W����
��t��_%=0��WF�i�oZ�M��M�6�Q�䃰�)��;��C�x�ON�J��6d_����t�U+[�t����ϧ
� ��e
���du����8��b��)��
T�z���������I�~��o���5��}x���|�W���2L����z�J�`D�]���9�է�p�����L�H�N�A�����<`�Y�SV֍T��9p�
+�/0=R����E}#	��k�>!�'� �A��n��*Z��%�iT�����Ycq
���S��[<̥��_�;��7�#�HQ�!:�v٪H�b*G�N��=wR�?��K8�h�'v
�1�K���lH�a�r.닍Pk�� 
;𺦎^灊
m
$��z�jdߒ=@8�7 �$��>��FhR�4�2��p(�7��*<�T
U���^4j��\�*����z'X
�]V����x�bd�3=��h��Y�Ȥ�9ݣ�
c�6��l��݌V�-os�DGX
�ڡmb�&[Wh�ut�
D;��9��m�O��s�����O�԰牆�H��
�ގ��
-
i|=�>�Q��T��|�*l���c�A�A�ۖ'L�N>���0,
�K�e\݅լ4k�
��P�Ӓ�D��D����$����6h��`e�0�k>���}�e��zڴ���:R%���6�9ԥGY|OHoԔᓅ�f��!�g���
0����S������EN����oc>�H>z���] �t��3�,~L7ׂ]:U@	�ᶭB.��m,>r�O'C?d��r@
+nc�{�u):��$��#�Ӫ6��)��w
7h�t۾��@�L�e�DW
dl�ǾٿCF3j}�Su��r/9�}�P��ǥ�U��Y�@h���
�V���I��t��\"y3�je��S�w
�$3u�,
m��o����[��ǴݓoŇ�.�
+]^x�X�	���)�1Ǐ����d��j�>��r�}�]��s�D]C[`a<�����ք�
WX_+{��r{�(J�W1t��?
Fgcl��W
��\�{��M�2>��%����m��u��}�K3h�HΈ~��
v�`��n�n5e�w
s�p]ڡ���q�i��o�g�
�������
|�9�#;�P���:~�5���&t����V�L�h
YX��X��,
�7�b��Q{.Ϸ��W'��i��H�dT�I��rCf����DR�p�r�8�%7�{��lڎ}��Ƹ�&T
ٴ�a���?a�
)&��g�,u����-,��1\��P�0ĭ�u|�9\�YٍP�Wi�ֈ����I�L��C�F>G�"�L.�,4
�8��Y|"�
_2�^FO�s� �l:Yf�/�C�w��.�p��2�Ͷӽ��,�0=�u��:�K�#
�x�����?k
�g
���H�U�1��X=�" l�G9�pN��q��m"g��K(��!�!^^���� [...]
 endobj
-1020 0 obj <<
+1015 0 obj <<
 /Type /Page
-/Contents 1021 0 R
-/Resources 1019 0 R
+/Contents 1016 0 R
+/Resources 1014 0 R
 /MediaBox [0 0 612 792]
-/Parent 1018 0 R
-/Annots [ 1024 0 R 1025 0 R 1026 0 R 1027 0 R 1028 0 R 1029 0 R 1030 0 R ]
+/Parent 1013 0 R
+/Annots [ 1019 0 R 1020 0 R 1021 0 R 1022 0 R 1023 0 R 1024 0 R 1025 0 R ]
 >> endobj
-1024 0 obj <<
+1019 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 .5 .5]
-/Rect [171.195 589.879 209.923 602.498]
+/Rect [171.251 589.881 209.945 602.423]
 /Subtype/Link/A<</F(/whatif/.pdf)/S/GoToR/D[0  /Fit ]>>
 >> endobj
-1025 0 obj <<
+1020 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [224.12 531.432 304.08 545.379]
+/Rect [224.105 531.428 304.057 545.262]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinZen06a) >>
 >> endobj
-1026 0 obj <<
+1021 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [311.484 531.432 342.741 545.379]
+/Rect [311.491 531.428 342.713 545.262]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinZen06a) >>
 >> endobj
-1027 0 obj <<
+1022 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [353.632 531.432 433.592 545.379]
+/Rect [353.634 531.428 433.585 545.262]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinZen06b) >>
 >> endobj
-1028 0 obj <<
+1023 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [440.995 531.432 472.903 545.379]
+/Rect [441.019 531.428 472.887 545.262]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinZen06b) >>
 >> endobj
-1029 0 obj <<
+1024 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [483.793 531.432 540.996 545.379]
+/Rect [483.807 531.428 540.996 545.262]
 /Subtype /Link
 /A << /S /GoTo /D (cite.StoKinZen06) >>
 >> endobj
-1030 0 obj <<
+1025 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [104.821 516.986 130.225 530.933]
+/Rect [104.812 516.982 130.188 530.816]
 /Subtype /Link
 /A << /S /GoTo /D (cite.StoKinZen06) >>
 >> endobj
-1022 0 obj <<
-/D [1020 0 R /XYZ 72 720 null]
+1017 0 obj <<
+/D [1015 0 R /XYZ 72 720 null]
 >> endobj
-1023 0 obj <<
-/D [1020 0 R /XYZ 72 638.557 null]
+1018 0 obj <<
+/D [1015 0 R /XYZ 72 638.557 null]
 >> endobj
-1031 0 obj <<
-/D [1020 0 R /XYZ 72 513.306 null]
+1026 0 obj <<
+/D [1015 0 R /XYZ 72 513.301 null]
 >> endobj
 98 0 obj <<
-/D [1020 0 R /XYZ 72 295.294 null]
+/D [1015 0 R /XYZ 72 295.303 null]
 >> endobj
-1019 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+1014 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1037 0 obj <<
-/Length 1285      
+1032 0 obj <<
+/Length 1185      
 /Filter /FlateDecode
 >>
 stream
-x��WIs�D��W��E.,��bK� �P��Lrb8�R���%��΁��[�eu
/CN\$���o���O?<�|����a8yXM�+
o
Nn���߬�v(+K���On���
m��s���b��ïwb��	����,
0��;X��Z��)Kxk�>��^2�_�jQu�h_�KfhA�0��f,�BEK%�;~ݖ(w] ��Ly��O��bEʶ��bd?��]+�?�\����S�=;Z�X�[��T9�8�P�+t�]�����Pt�S�*��4��)�1Pb�Z4�L�NE].*�ގ�tg(�9w n��/xr��y(:TTU�P�Wt�C[Į[_��� +[�AX�Zҕ0��
y��(�l�
#���/�ě��.(�hT�6|.�pb{��Ǥ��'\�����eF�x~L�t[� ��’�
�ﴇ��i�VRne�빵�,�Җ��OS/��Lj��l�\`���k�V�̲�‚r��
�:x������q�q���r����\�]h9+ר�`
<����B��Q�_�k
-�͊��Y��EO�����[�ޖ}�)�L)�͖��3
K\@bw��j�ɊS��˱ؤV>R�n�9n�;����eh�+������H
-��6�-�t�e�`�=W^�P�g�<S�љ
-�(W���h�7� ��)WP �h���Y'���w�"�M�6�
�m�*r�{ E
��3�}��=��6ء
@S��h�p���D�h�Ҩ�[}�Q�a�b�0��Q�T�v�0ħ0c�c�I�
QB��麚;^��������Y�LZ���ش�����>��ѥM�TI�T�k�<����r����H!���p0׿bb�;��+�MB�?�U�
[2�*)��k��/n�W{9�Q�pۙ������B]�	����C���1�o%��]�
�*�!�2Ŧ���}��su�f�%`:5�J�fM�IK�ѡ8ja@���XdY`�^��ZIҨIu]��_�X��Rb�.[���'�S���]����Dm�lj]p��V��J����4=��2��	�,�e0-|15ШmЖdo�� �I��*���d-}�0������C�W4
��iFO�)ɇ�nmSmxfvj?!�!��a�AL+�hx�
������Spf�v0����V.�
�� 9䵎���f�������S7ę��ʙ���=0BTǖ��C(�ݎK�~͒��%L
_�G��
�
q���
�[����r���ek�`����;��G�j:�Qw�C)������
GP��ĎG�{�x����߸ K�endstream
+x��XMs�6��Whҋ<1��49��v�iz�sjz�%Jb#��v�
��
,�BE*n�
z��������~��x�3�Ʉ1?����r���$��A���Z�1}}��,�..�t&Z���8��[���mE��U&����_'��c�E	u�������x�E!�F�R��]�'�`����=�ۑ��G�Z�bs���L*t�0+C�+��
�Ԉ�DϬ�%:��G��ҟ:D5W���$u68��������I��O�19����f0�D_��v�`�F�2�K��
b���0�
,��\p�<`��;��w�@/%�x3��ߏsGhh�`�A
��/��\lG8:�е('���4�'
��0�8
�)��h�͏3���H�<�� ԓ�s�_ȁX�S
O�l9�hԌe
X�����ٴPȡG�H���8i���,K�� ��F^��@�dWSȗ�H�#�%��z�����i�:OK�*]>)�E�
۰�|y�
�L����N�7R�P�ed�<Ϫ���Z6�����l4_;$�,��	n���
�V��w��<�,(�f :~G����?�
V�+#�P^�6f$[h�1����0,�+�M7��3���R��P�l�\�$GJ�����
+�������J�����`��.
;��HD��_�r��
wDu��[<l�J,bQ=��p��@:L
+p}R����K�̷�'5)�Y�}�(�ku+�W)��ɢie/3�m!#
ŲP�e��uN����lt�D�Y�Iw�5���4��
Q��f�|�\v��pM*�Iw��G]%A�
+�y
P͓@
[�>?Uع���x��I�8y6��6)m�f
+�0�)��՞=jb4��{
�V��[��0�L(+Lx��ě�k�)���
+HxnI-��B�#Mh�WļR�7Ze�N
����naC�c�u����d`sPҞ������o�.ꁷN�*�oF=w�����\��i�ՠ�WG���'��czXˑt��3
�O�t�lW���jp
^/3[l��[�.���H�>E5)�uM�6���e�%�i"r���y.��X���
aw�	guv
���fA�dNO^=�g�$�i��~~=Q��&���\���>$�n�
A����(x�O���������
R
��� �
+�L,�z"{�a�)�o磾���2��L|myY�3�
+�(�?]_�
�2Z�endstream
 endobj
-1036 0 obj <<
+1031 0 obj <<
 /Type /Page
-/Contents 1037 0 R
-/Resources 1035 0 R
+/Contents 1032 0 R
+/Resources 1030 0 R
 /MediaBox [0 0 612 792]
-/Parent 1018 0 R
-/Annots [ 1039 0 R 1040 0 R ]
+/Parent 1013 0 R
+/Annots [ 1034 0 R 1035 0 R ]
 >> endobj
-1039 0 obj <<
+1034 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [318.039 471.432 430.322 485.38]
+/Rect [318.071 471.432 430.295 485.266]
 /Subtype /Link
 /A << /S /GoTo /D (cite.SchSla01) >>
 >> endobj
-1040 0 obj <<
+1035 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [437.301 471.432 462.706 485.38]
+/Rect [437.307 471.432 462.683 485.266]
 /Subtype /Link
 /A << /S /GoTo /D (cite.SchSla01) >>
 >> endobj
-1038 0 obj <<
-/D [1036 0 R /XYZ 72 720 null]
+1033 0 obj <<
+/D [1031 0 R /XYZ 72 720 null]
 >> endobj
-1035 0 obj <<
-/Font << /F70 642 0 R /F78 924 0 R /F26 548 0 R /F76 747 0 R >>
+1030 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1044 0 obj <<
-/Length 3660      
-/Filter /FlateDecode
->>
-stream
-xڝZI�ܶ�ϯ�Ǟ�	$H'9�/֋lY�%����fk�q����ߞ� ��lIΥ	�P��B{{���̭�U��V���3+�*���v�Kdյ�4�$�k�M�����Mw����_�4�JkU�)~�|b�Z�4�E�1�s�|\�櫘F�������T��_��Ʀ���������8�w8������G����P�l�~���O��oLy��^�
?PJ�
za[�j�
e
����ZؒIT�S��
-%�bz�˾��f�i/��q�/���z��YTu}�/���n��4ꪦ��ID��
-�e_×d�� ��q$�0�߯�T
��ÎF.'^m�_cm+Y��s�v�J��b�E�����:7x�k��vbr9v��̓���N���;8��6�"
-nIu
:YP�s�&�r�-�h[G\o�N��"�#��
-��eC۪��J]���q�0+*��G���>l�a[��L�T�%�߷��dQ[}��{e�G3�I
\h���+Ly�4v8��4G���֍o��n��kZ�5������Z�t}��1����[��������
��'т
Y�x��ءўϕ�����<�!��z��Y��%?
���Y����
���p_�K�i�2z�j�uie�L��7���*r��mE��#=M��}�uy���l�|�
)
�����_ЙJ���23�6q��E�̙��.X-�P�D��)���ز�����t�%��,�����8��fJ�&��9��ԋ}Yb�
O��b�XeI�	esd{+�Y#��L���Ŝ��Pi^̎�#���|$ʲ�

E�/D�"��E���*
��}�D�E�zp
�*
���N,y��>
^��Ñc����n�F�A����M
Kr�~�]F/���̶]�T-r� o�ʾ�f�I�q� 7 at -\�nI�28�,
�AG_<���a&§?��'��
��^1�Ařa��%����|ѧ���z?��ɭH��Q�W'�)�"�x�����Yc{_��vt"��cE��D6�y“!��KkZfT=����n��/�ѷU���~V�1<y�=��q6�'ުЦg�}2b���a
e����2�K��}��5#4��i����k��"q�
�W���։�p��=��҃w���gBI�q$(�0�i��-���.�̳�.�y~��e`R��L
$����p{��~j�8�w��(]Į œԋe7
�To<�`����_�/�����/B����<W���pX�@t�e3l���.!����	�.�����Th66�rry�����fB�#��f:w����u�4=��8=
��� Z�e
2<�C�䥯Y ��1^�T�� � ��fAc�勜��?
��K��2�lߣJY����)�aA�v�2SAO3���X>t3	�8��<$���
pCʏ�y��"� ��
�V>��A��|���HM݉-����V̝�Ms8q~s [...]
-��hW�ʝ���¸<���q�ew[mE��B%}�"!Q
xm8?�>�^� �?N��������#�
(;ȩ��ӒI��v�l�2�%j?���r�h�9�WZ��f	E_״�M�u,V_l��@V
�8 �E�9�A�-U��WI��:���X3��su��3��̄Ž-�)؉h
�-r^�<z�m�{�����2���u_'��m��M(��X�a�
'�D���q�|Ph��"q
���暡�XuqgzM�W"[A��*�#��s���buK
\�
-΁�vǓD��aY�a�
ȟ����
?�|��m�+�
.-�|pYo~�	^�^
-nR[7.S�
�u*���Kr�>�g���9Fe�==v�j�BgМ4W���4�Y����<���h����hF�K�-��)��b�c���ɏn��*ϸgU���0��c�g8��!UN	zGʑ���<̀�e8�iw}�M=�	�5���\ϰ��b������)��e5̔
��n��;8�b�g�
$�}�"P�Z�.�R+B@�l
�77����
!J�J�.�
wI
}���֭����E]��0)�ߓ^7�D5��������T�o`L�~�d�2K��3H��aJ�x�岬��](vp�K</$Ι���Fg�=���XX���y�T<�S��Bt�I�R�)� ��\�S���V�j�� Kp��
�k��
����z��ѶP��g��b]��H\�H��q��>��Ig39��e��ӛn�&��up
8���>�tĮ�l<��^�#q���|B�Y��Hp�Y�4[��C%�$��
�P��WNƹ�x��w}�'x`r�=8B�VlV���
"a&� ��s:��ǖL pDY�d�Qy���U]�ylw��W>�/�y&��Њh!Z�§鎳�Ov�z �c���iB�fz��Tfa?9Ou���4�0�i`g���)���8u�#=C:r�f�"�%���2r?5�{a�t~�w��{V|ޝ_
�w�=�2bx�#w�F&��v�
ٷ�a�'S�/��r9�:��Dr��[݉�
�Ӌ�׎�P�������jS���u�����$��$��N���i�n�Ƙ��\5�\sNB,v1$1W���܂��d�����rGG�,{J�������+�����Q�z&�,�n���Ί>�=�1߇�++�v�G?+�:t����t��@�-1f��i#X�6;&�а�\2�p����tjI� ���08� 
C��g9�3�^n,�ۂԥdz�R�� ���b��s��\̜� �
�|�����c� [...]
X��~J���
�?�
(�}~C,_KB�_Sa�#�Jxban9�� �t�'�f����u2V�CQ���R���4�T����}��"��0/j�7�}���B���?���W��
�_H�;���w&� *kW��^!���ҰT��f�������*^}��� mP%���+�CF�p����۫>k�A
-����c���Y�6I���8�lZ��W�����? q�V�#z���}��j����=|ˀ�fπϒ��^��-���z�c��T��nڻ7l�뎌r��q�@�/+�y�U�#w�m�IŊ<�������r;���R�h��h� 
-���
,�8���ł;����@7P�П��_���x�;Jr`3�q;GaW�ȣ#E�x����������
-���r>[HI�!�'��̹
=�� zC���_]�����
ߵ��� ���e��;�ui�7{��_��D\ƨ������
��gY�}�;����V0=�C:L�M
�}���+M*��<���$��?�	�endstream
+1039 0 obj <<
+/Length 3575      
+/Filter /FlateDecode
+>>
+stream
+xڥ[Ks#���W�|�

�'9���N�d�Cb�����ʒ�,J�7���t
LcCj�W3<��u7���Ͼ��,�ڴ���©�k�h�]\���4�r)�'鯾\I���/�#���w
�
���?]��ת[H):kq2�V���RBZ&���>};�-��뿴�~O�{�\Y����U|�
=-�[x
����-
|�ߞ&��n���=u�a�Ч��X�x������{���~�Q��Eܐ���Y�d'���~6Q!����H2s�eL+�L�7�ƞ�u���M�쏏4�
�?�W��;t��c�+���
Y
�'ڬ�VC�H�j#���-���R�eqx$G��>
�7��Ұ��|
+B�X�F�D�ɠD���u�$���tHX�C|���qae[��1��\�"�>�����6�-��&�������Z
�5
Xǥ� �}$\�}X525
K�����>�;#E`�񖔥�+��
F=E���4�fG{�I"
��8�zUp �&,���3��i|�2Wų<��?%ք��Tǫ�+n#<r��ɷҔ] 0�{f���@�����a�`�Z�pBwQ=I�օ���.Y�Ҽ��jhv��D�U�����8���W���Y��^��r�z��5�����[Te[m'Z��sW~~�U5UF�F�n�4����TT�AZ��C�����A<n�do��4�`�jJh�����D�L�
zЈ�+�����tl�e%�F�1}�][P_�_����N/� pؘ�
QP]�?Gߊ��[!�LTf���PU*��A��n
+̟���i�z�n��ADK��#���!�M+T�I��Mhk&>�P�@�r'��ٲ�Ж�P��Z�p�V�C$�]��8�O$�R�[�(�a�6:���~�}}x<�3�W�&Ż�i�SO�E�@w�piCɷ��)O!�]A�[έ`lp+�r}Pq3t�'Sb�;��٪��box�a�m�3m+��b,���oN��N�Ϸ��2�[z�(�K�q?Q�C�����c�S�1؁���Ò3�Bk�qD����D6��m�p+t+<��H1����� ��ǰN��
,w�ry��b�_~��l��
�
N�-��<&EO�
�v�M�y�0��\�׎�@t��Ki�OOK��D���$M"�V���-��!��I;A���u�ݕ6>�O��8y\���} ����5���(t`@�}�c��5�B�
+^	�`�H�nF��lj\�A.3R
,!�`i��
L��V&o��l
���	ll���������?�<���^Jaa�ar�)���}z�}�(�R�V�"V��ߜ�R��avŀZamZ:(:i�iL����T�]�'�6���
���*��8��2>>��F�j[_8>�R�H8)��l	���2�x#�
~�S�E��Sw��c��
���(N�g���H�g*Vn�E��`x7�~�?�$'�ML�e�=C�2�󰯺�@�@ �:F����kSR�u�ep`*�^*��CP��Qʑ�6����案W����'��}�d�(����ɝ
���FnNĦ2��J�Z�V=� ��|A��
+i��r^E�gU�)4����τ749�7HK��1>���+L��b;�
�J\��(���*�B샘ȳ\�=��F���$E�Pqȱe؅ަQe2��e^�s�)<����
+�����{�Ճ&�b�`4N@�>�
 ��d�
D��Ed�
\�x{r>5�>*�+�M��P
W'0������Q��2�D
!����6R�p�Zq0|~F�x`v�)
vg�Kx�`.�����_w�\U��k0�)�y���5G�yu��v�ԫ�HZ����L!��u�Ѧ=T�56Lػ��RF�#kɉ�
��ߚ�_�	�
��=O{���`���@�%�yN�y�
,�GU��D��H? ʕ�n��.n|0��L�h�Pq�&
��	�lg��L���JX��<=0�r��bw4����dL�p`� *�$���=eX��/�jJ��
+'����`��#M(���"�X��0ڂ�J�K��zN��}%���C�d�?t� {lL��g���@�횥��'s����B^a]7�Q/K
�!n��c�)<��/8j
{lsƋ���!��"}6�5�!Ǟ����!2��!��eA�� =�1�Fl[w�&�
+��M���#���r����"�~�
hș�Pd�����
��"%�t|
%���8��@��D,s&s ['�����Kv�4I�Ix��
c�J#7YLC1ʸD���
�B��7G�MQ�f��뽾�h��Y���V@��(�wT��9�
�H�+��
�n&
+�
jE[���

NWN�Ҕ��ƟG�Ti�M�m�~T1`�5
��
�>�^W+���4�B{��!gE}sbM��w���p���K�^$��U� ���
E�����sa����u�O�:6w�(N

��>K�	�CB�ӽ��mˆ.f��us�zB^?�9([;d`��6�n����b{NN��r�Εgo۲J�Y�Z�6-�\�`j��u��u���j�S��1��8
ק	1�:Nu�7K~�% N�}���f:���^��ζT�l��8�V��ulf�=Iw��R����sHۜΙ�,���
���ݙ�2���E���:|d"]B,���y�o
̉ae���lZ�
>
�Q��d����A�
p����f�P�
Vg����PD�����w�c.5�D�b
+�x>GUd.Ǵ�m���NS��4���ʴ��JPX�g�`��5-���J*���}jR��&=���ӗ�w=9���W���U�e�P�[��
+�ۿ�A�Ô%�¡�.o��qR:�etEm��f��ί*��
D7p1%�,��j�
��_G�goIi�_E��P.u��
e*
c�SѢ6#�B���6�v8���]����	�V�>p���
�[�j@��=ߎ�5t��q�b��dz�ͧV֛d�����U�
�F8A��Nl
FC(���d
2�����<I�_��/��
�V�D��͚��>��"o<_lJ�6]H[�Wi�E"QfuZ�(�)�A�{'��]���.�
d]u���L��l�u��ͦT�3nz83�ڋ���\p^2w�!����0���ƜLR*o����r���
���'�k
i�G���^D�"���<=�;����I����[�A�7mʀ_o_vr���"ɾ�95���4����ai���$
�I���/~���fqs�,��h�����Av�n�� ,O��w�/���Y����3}��7�-Zс��

��AX�����4��.-�C�2ڟo�L`Y��
+��u�uV���
+�l��C˾.y�B�:4ЀȈ��nTf��7���0�q�
TVJ����SYB�[I�e�ƽN�	ާw!�c?��C���9���7��� ���U2n���7X�%/���w��U��r�b�p�s����?���G��9
P4�",�I;���㰙�%�Lf��8j"
+!�dFߌ�p�¹ۘ"�l�o�Y���@	�}r�HJ�Z|�W���g
��#6)��·�q����
+d
�>�(j�׏��wC�뢜�07�4MP���tF��k�@xc��u�_Ad�pK Mendstream
 endobj
-1043 0 obj <<
+1038 0 obj <<
 /Type /Page
-/Contents 1044 0 R
-/Resources 1042 0 R
+/Contents 1039 0 R
+/Resources 1037 0 R
 /MediaBox [0 0 612 792]
-/Parent 1018 0 R
-/Annots [ 1049 0 R 1051 0 R 1052 0 R 1054 0 R 1055 0 R 1058 0 R 1059 0 R ]
+/Parent 1013 0 R
+/Annots [ 1044 0 R 1046 0 R 1047 0 R 1049 0 R 1050 0 R 1053 0 R 1054 0 R ]
 >> endobj
-1049 0 obj <<
+1044 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [166.993 471.847 183.943 484.467]
+/Rect [166.932 471.863 183.856 484.406]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.2) >>
 >> endobj
-1051 0 obj <<
+1046 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [351.784 423.528 358.509 437.32]
+/Rect [351.614 423.544 358.336 437.263]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.4) >>
 >> endobj
-1052 0 obj <<
+1047 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [228.066 408.751 271.346 421.702]
+/Rect [228.056 408.763 271.294 421.707]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1054 0 obj <<
+1049 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [236.548 345.654 244.394 359.601]
+/Rect [236.503 345.664 244.341 359.498]
 /Subtype /Link
 /A << /S /GoTo /D (Item.166) >>
 >> endobj
-1055 0 obj <<
+1050 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [383.367 259.311 426.647 272.262]
+/Rect [383.02 259.324 426.258 272.201]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1058 0 obj <<
+1053 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [83.236 106.252 115.946 119.303]
+/Rect [83.228 106.262 115.915 119.218]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/stats.shtml#amelia)>>
 >> endobj
-1059 0 obj <<
+1054 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [136.148 106.252 303.3 119.303]
+/Rect [136.089 106.262 303.101 119.218]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/evil-abs.shtml)>>
 >> endobj
-1045 0 obj <<
-/D [1043 0 R /XYZ 72 720 null]
+1040 0 obj <<
+/D [1038 0 R /XYZ 72 720 null]
 >> endobj
 102 0 obj <<
-/D [1043 0 R /XYZ 72 720 null]
+/D [1038 0 R /XYZ 72 720 null]
 >> endobj
-1046 0 obj <<
-/D [1043 0 R /XYZ 72 705.305 null]
+1041 0 obj <<
+/D [1038 0 R /XYZ 72 705.315 null]
 >> endobj
-1047 0 obj <<
-/D [1043 0 R /XYZ 72 624.774 null]
+1042 0 obj <<
+/D [1038 0 R /XYZ 72 624.789 null]
 >> endobj
-1048 0 obj <<
-/D [1043 0 R /XYZ 72 518.34 null]
+1043 0 obj <<
+/D [1038 0 R /XYZ 72 518.352 null]
 >> endobj
-1050 0 obj <<
-/D [1043 0 R /XYZ 72 470.353 null]
+1045 0 obj <<
+/D [1038 0 R /XYZ 72 470.368 null]
 >> endobj
-1053 0 obj <<
-/D [1043 0 R /XYZ 72 378.697 null]
+1048 0 obj <<
+/D [1038 0 R /XYZ 72 378.712 null]
 >> endobj
-1056 0 obj <<
-/D [1043 0 R /XYZ 72 257.817 null]
+1051 0 obj <<
+/D [1038 0 R /XYZ 72 257.829 null]
 >> endobj
-1057 0 obj <<
-/D [1043 0 R /XYZ 89.933 146.7 null]
+1052 0 obj <<
+/D [1038 0 R /XYZ 89.933 146.71 null]
 >> endobj
-1042 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F48 554 0 R /F76 747 0 R /F7 753 0 R /F8 551 0 R >>
+1037 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F69 550 0 R /F142 743 0 R /F7 749 0 R /F8 547 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1063 0 obj <<
-/Length 3051      
+1058 0 obj <<
+/Length 2948      
 /Filter /FlateDecode
 >>
 stream
-xڭZK����W̱ؖ%Q�89؀
;6|H�Xq�=-X-����q�|�*�ѭ�7 at .�d�X$��U����>���0y/�㇧�C�^?�~��Q�
~�c��xL}���c������1�݄N|x���i*�6�/��9v���j�^)g+��}�0�a��V�
Ѧ�:��-�w<׃��
�����U]PsT�H���!�!~Lz%���������>�&��J�=�d� �(a%
͸`���d(�7��:
����f
x��|�H|:�8���EIp(i��e����y�-�7�vN�q��*�J�2��w=1���j�0̼(O��;ۋ�0t��Y[�Xc]���%R�#>ͼ��#��;�c/K�ُ8F~��[ž{�ɶ�d�����nj-f

͖�UǺ�mjHvF[𶸏M��
���Nב��
���
`�u*��V��
��;���\v� ):�=�:��ˎ���c����ƎjL�%I���;�tۼ���*9D+�yx�'
Ͻ�B�q�A�ta���R�K�/�X%�=���c�Ю$�Co/,"je���
c��?S�ft,V���_UHod����_䧡mI
���8�q���],��U!PB_��[��±BD�n�xv��
lMw�d��֩[����ǟ����Q�m����Kp���|�\
��}.���
����t�æ�xq�\g�.��G���!�2��.�_zh���lAt�����@�B�1���w�zi�ۢa?\9��bdC�
-Y&�
�ϲ6 .$�{_�u������w�L���d��5�A��#J�D���i$������M1j �!p�#jF`��a�^��Ԙ#]JVԨ��s�_��i��=c����Y�,}��n��&��t�l�LC�L��B?�to$݇��#�Z������Y(N���S�᎞�?��/B���4L
Ǻ���(�l�6?��#��'2@��ΎRC�b��ڪ.�>'�AQϒ�RH��o��Ԍo� .H�,��P�8���
e�ۑ�����
�m�s;3I��R���h	;���ɒ��?��3!ǝO�g^�
_]�� 
��!�K���ԨX6�4���,�i^zi,�t�4�Ey�3_ ���-a7��é�@:RDQ�*��hM.c�Jy:)\KW5ͺwQ6
�zq��ɜ�f��@�uNn�N7Y�+���|�-%ٶ\���d� �$*
-T�� �����y�J:�r���ls,�x�C�W�����ܛ���)^&*����� Wfa����:i�9g%Θ�ˣ-|oB	%�5��[`�v�<��
v%���C�8ɯ��$~
[~ȱ �q,,2��@,����g��M
�����M1�E�^=LeV��mo��0�(�p�>��l(I�עBBh
-
C���jhq��N+:�h�-]�`l���� }�/:
���Cy�$�e�
�I�9�V�N��6H|/���!�DX�Q9m"Lm��w�����΃p��G�U)B��mn�^i{.��Ħ����$L\�@2�i���
-��a�9#P�T�A��?�:.��X�[�]��D�a69
Q`���Hf!Beնm��~3U�@�G��Z�US�F5u˗�^��a_�<$�4Y��"ٮ���Ǹ�C��N��-n��|��oۍҸrT�U�.~=r+sɵ՛Ke�`Ԡ	���di�f�	b
-�����jc^��!�Lk�oYt��ϒ�`�L�C3�)�I~gsS[�m�D��擋y~5)�v����V�|\��o;���վ�7
qX&�4�;�����l��|�_�a���r�C]�������&{`��[T��� �.|՛K�o(>"�l�JA}�<$t^�i:��5��	�WO<��b,�?{p
z�\N l��B~.�}�y��P\���?��l���
�
P���d���1LC1/J'��r����0�*
cK�p�I�Ȏ��E�=8�䱥��� 	:r��`��
-{� 
���O�.N
(��P�qW�*�9�;��7�]ѠN\���=V	�h�R�Mu b�qP� E��
-�:���MW�m53�:�JsY��<�(c�\�~y�,!}}���m}��"��]���+9fM���x��j��f6���a��
-�xB
}\�S�To'z�G�y�q�i��_
-
y|i�a�{��P�ڠ^�bfX����ɏ�� ���.�/ �C�1�[zɰ{�8�g�F 	���w.��ƻ?�Z�y��y��az�b��%�v-�
j�9��?�X���.$�زk/u�f �nO.�ѽ�u���6/s�p�ʜ�~)�,��q���r����$�&��"s�+m��<R3a���#���
���C*�s��'��פ~�.�Q��[�Vrs��mA܎bw�����_H�˪k��;��`�Z���
{p����=�7�-�TD�5g"w\�^f��
-���^��'��c �,�0��� �� _)��U!����P�e�s-����
�����|	����R�H1��B~$=�/g���
ާ��
�{����_An�̄��
-R��W�{�B.s�\�8��^:�O�:�&p��"�1i��"So�RW�
,ٜK��~⊊��@]eȝ�����
��N��ٳ@�	nI�F��,��(_e��r$0��e �m~^V���^��W�\x��?׭hk��Fk4��1!�=k��,�/�u�/q
l��f�S�����&�b�|]o�0�(b��+�1
blfZy���
�����D�髊�u�:P�KW��gB�R99��{���{��a_�/�
_ at ML�#�1ȺS)֡
�~�m�W�<��C�� %����;l��f������I�=�ū,��n7�G!���,��뽼,�w j�z$_� �-�"�-y*P���{��j�@�:��9��z�M�)�l�*
�x�:w����
m����x�P�'�X
:U�7�zp���?4
_m/�s�T�`�S>q��w��١a�z��
��k�mg��T��^��'�͚�n��#^,�����;���4W.���]�CM��r�
��j�~̏�WdB���
�O͸��Z�~?[�wJ�H��ɗ����T�]1�>�����&��endstream
+xڵZIs�����Q�jq@ ܲ
z��3��rH��JerPK��j-
ў�N�|
ނ�e�+9�&	���-�[����|�^w7eYtUus��)US��M��BYx����gU��r��]֝�)o���?�[�����]�`�3���
ߗ�=�6�y��;�}r�{��[<�������szp�D��.��^
�W��#
�~nգ�F�+�l=M�x�G;��i�w��bóVL��
��m�
Xc�I�m��5L����{_�:iW��,K[X[�Hf����Qbq�~RN���
�ueQ�ݍB�"�ڒ��x����c���b}"�Ve
Oר/����㣯��Si�yCDQvgf�L
�U�#V�n��6���al���/��O�5�X�|�h�Y�-�h=f�������YZ���m�z[�F{�e?nw��pۢ�ai�O�V{b
Gw�'Y�*
�2�Lݣأ��Z�^�KEfiL����Z�Ƽ���4�D~
�
�G�~놻��,|
+
��}ξU"���N�nlQk͂gg4`�'�f�� ���V�
�Q+��D3�L0*��w^\�7��$�#��Ox���*Lio�I��&L�2:qv[tF|��D˪4����.<	��e�K+�ľ��=���x�P,H�������,�Q�#���;,��h3�c�
	�c�	'��r|`����Df�J��
<�;���?^��b��{x�'�
~?�E
��G[�tWhk��;:\����|F�3[XU�	��[�N���w_&����.?PD`�z��5ؒM���px�G��RN>��֞�92����wQEw���������9��uY����I<ݱ�.�6�
�}�?ă�h�
s@
�hY��o�@�B�1l@��ʻ��9�V�r$;f�e\��[
��A%��}ט#=���7����/
(KW;-䓆�I]��^pը����
�b�MͶ��{>��z+�w���f�9
Dg{aR'�] A��������t��v��j�a��C��H,>g\�1p~�b1���0�]E�2�|.��5d2U^lY��<�r�Se�z�pl �J�'��S��:
9!}@:qL��<9R�D03&=�������6���U���k&��
r_����:S�#�c�8�� aY
(�k�.�gJ趒��>V��W7=�߄�\j��}5�A�e��L	�J�v�kf�H�"Z-p_��j)=��F�I�������I:���!\��1��<FZ?E&���lxf$Ҥ
M���"A ���8��ą��& �؍�݋?
'���!8����J�Ӊ
���G��ViT=��
׿b�������s䙸�j��/y?����T.���:%�p���Yh�ք"‡�",�
+"u����������<��
��Ո��j�Ŋ�n/)Gb�:j\g��F���|`�D]]�੏i/�ܺ���^s
+��M֐]7:L	Pڶ�J'��J��YeE炫�8]O�+ at T3�l�a�
�&m
8{�(=4���P�x/��L��|����)���2x�rށ�JJ뽞��%�D�
T:��\R�d���ž�N���	�
�_�^:�>+Z3�"�܇��� �;,�Мt�>B��lU7j at LK�)7<�Z�]�A�����ǨI��fqas����
��r�[7T�{�+N���͈t�ټ�?3o�>x����b)���S�y{�%[�
�lo1ɹd�x�z����0��2�R-~<�
+�����
+�Xf��r\�xh;��g
00?ɢC�N�P�}�$:����Y�ux��"{Y
V`�Zuކע��8{�`C����G��B����m�����D���Er]T>9
��� �_�;>O!lP���
�HE�����Q�C[���Wݼ	
|�RT�bB���X���T���'�~�D܊�e�o�e��N���&���?����A*�,
�����Im���4�	��,=�5�2Ң����%����G΢�m��E��hq�cE�*/Z7�>zs�L�%�i!{XBm';t��S=�<�9y
��{�2)F�y���?g�~1�G.x�5����\���
���*�ֽ4P�kB��ȁǒqaY�ES����C�M5�zk�p
+��i1J���WmG�� ���*�7Q�b�r�T�ԏ��hb3�(�Ѩ�z?�s�bh5}W�Ks���Z���O1������UFd��A.Ϣw�{V��>�܄�m����q�s��qn��>�(7)�z|��ګ� 'Ikdg�r�`{�\�k;�ڐ+%�,��D�r�G���k��#�� 9��`VB
�
A�zS�>1m�v��|�
�@/[ul�
�n���6,��?��Hj�Hz�� ��
�1׼
�]Fwy���+��U�n�y��I�y��kQ�OX����{n�8H��Z�-5����3`��
X����L�n|�.W�JIP��n��|���/Ҍ��`~u8��^g�;c�\>���b`
�_�r����"m�3�把��qDm��(�7���	�^Y��D·/�Ult�t��=:�� ,�ʑ6�j����4�2|U�~��t�u��LרW�����8��C�+v��0 �#����$ �c �1�-�Z|x ���I�g^Fu��}�s:�䞷���
Q;s9S�"�sf�L��A;cv�#��4��ۜ+j��슋�DBr��
�	E׌�1��_�F�9�
���{��?x���-�({HJV�e>��[	�&$t�Oу(V[M�l,tM��5�7�os
�6I�����z^2}tШP�5��8}��&�9�Lh�NzԯJu��IS���"���5U��C��C)�Y�x�R����!j �K	��W�t����\ �\�T�YҤ�>��Q�Ki���=�RQNh5@�dm0���fk�����R��%���S�×{����}����&���l�=

�ߜ��_F5W���|羿��~�P�O:'ɧ��æQ~}����Q�ERW��qaGe�MY��y mۢ\
N��7?ܽ�/���endstream
 endobj
-1062 0 obj <<
+1057 0 obj <<
 /Type /Page
-/Contents 1063 0 R
-/Resources 1061 0 R
+/Contents 1058 0 R
+/Resources 1056 0 R
 /MediaBox [0 0 612 792]
-/Parent 1018 0 R
-/Annots [ 1067 0 R 1068 0 R 1069 0 R 1070 0 R 1071 0 R 1072 0 R 1073 0 R 1074 0 R 1075 0 R 1076 0 R 1077 0 R 1078 0 R ]
+/Parent 1013 0 R
+/Annots [ 1062 0 R 1063 0 R 1064 0 R 1065 0 R 1066 0 R 1067 0 R 1068 0 R 1069 0 R 1070 0 R 1071 0 R 1072 0 R 1073 0 R ]
 >> endobj
-1067 0 obj <<
+1062 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [425.018 335.959 471.555 349.907]
+/Rect [424.624 335.959 471.101 349.794]
 /Subtype /Link
 /A << /S /GoTo /D (cite.HoImaKin07) >>
 >> endobj
-1068 0 obj <<
+1063 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [473.464 335.959 498.869 349.907]
+/Rect [473.006 335.959 498.383 349.794]
 /Subtype /Link
 /A << /S /GoTo /D (cite.HoImaKin07) >>
 >> endobj
-1069 0 obj <<
+1064 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [409.931 304.76 466.547 318.708]
+/Rect [409.597 304.76 466.128 318.594]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinAltBur90) >>
 >> endobj
-1070 0 obj <<
+1065 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [468.457 304.76 493.861 318.708]
+/Rect [468.033 304.76 493.409 318.594]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinAltBur90) >>
 >> endobj
-1071 0 obj <<
+1066 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [193.175 259.115 219.876 273.063]
+/Rect [193.102 259.115 219.77 272.949]
 /Subtype /Link
 /A << /S /GoTo /D (cite.King97) >>
 >> endobj
-1072 0 obj <<
+1067 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [221.786 259.115 247.19 273.063]
+/Rect [221.675 259.115 247.051 272.949]
 /Subtype /Link
 /A << /S /GoTo /D (cite.King97) >>
 >> endobj
-1073 0 obj <<
+1068 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [252.351 259.115 321.649 273.063]
+/Rect [252.196 259.115 321.388 272.949]
 /Subtype /Link
 /A << /S /GoTo /D (cite.AdoKinHer03) >>
 >> endobj
-1074 0 obj <<
+1069 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [323.558 259.115 348.963 273.063]
+/Rect [323.293 259.115 348.669 272.949]
 /Subtype /Link
 /A << /S /GoTo /D (cite.AdoKinHer03) >>
 >> endobj
-1075 0 obj <<
+1070 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 184.578 242.779 198.526]
+/Rect [147.912 184.578 242.754 198.412]
 /Subtype /Link
 /A << /S /GoTo /D (cite.GelKin94a) >>
 >> endobj
-1076 0 obj <<
+1071 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [245.564 184.578 270.969 198.526]
+/Rect [245.583 184.578 270.96 198.412]
 /Subtype /Link
 /A << /S /GoTo /D (cite.GelKin94a) >>
 >> endobj
-1077 0 obj <<
+1072 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [444.724 97.903 501.34 111.851]
+/Rect [444.326 97.903 500.857 111.737]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinMurSal04) >>
 >> endobj
-1078 0 obj <<
+1073 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [503.249 97.903 528.654 111.851]
+/Rect [502.762 97.903 528.139 111.737]
 /Subtype /Link
 /A << /S /GoTo /D (cite.KinMurSal04) >>
 >> endobj
-1064 0 obj <<
-/D [1062 0 R /XYZ 72 720 null]
->> endobj
-1065 0 obj <<
-/D [1062 0 R /XYZ 72 720 null]
+1059 0 obj <<
+/D [1057 0 R /XYZ 72 720 null]
 >> endobj
-1066 0 obj <<
-/D [1062 0 R /XYZ 72 654.961 null]
+1060 0 obj <<
+/D [1057 0 R /XYZ 72 720 null]
 >> endobj
 1061 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F29 672 0 R /F78 924 0 R /F76 747 0 R /F67 564 0 R >>
+/D [1057 0 R /XYZ 72 654.967 null]
+>> endobj
+1056 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F32 667 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1087 0 obj <<
-/Length 2561      
+1082 0 obj <<
+/Length 2464      
 /Filter /FlateDecode
 >>
 stream
-xڵYYo��~ׯ��B4m6���"	Y`
�A`q`��"99�C��C~{�j�3�do�<H컫�����۫��G�Nk�9��=�t��P��$LUha��9��^�K��Z��^C�#q��%7�e��cw�����qn���mPt0Ԗ�Xwm���~
;��8|7�����Ҡ*y��ڹ o&��;�w|����<	U[V�u�'�z��.��U�����9���nXX�HK��06��_�E_�,�9l�E1�xH��r$���*�xFq
Ɂ��
-{���{�
=�:PD�>r*q��@���2�}�>	W�
�8^q	Ы������4�8{x�T[ّ#
��'``v]��d�1�*�x��
�-އ���j6�K��c'�f��qS_-R�y蚦C-x"A���TYA#Q&c� �9󫷤��j���BB'$y�N�$��7Lݸ-q�}��g�x��K��ft��	�����{g�����~����{��b��f*+Q�_Bm�a��Q�
|2e�d��
Q��i��:�t��m`�ԡ��Ny�T֤�SC��3���b�&�G���ڈf��
;�
�H�	�c��>��A�&�_�Q��
��㩩�m��V6֨
*Ӭij�{����Ǧ
>��5�ݽX�#�c�x���߳u�?��J^������p��ğ���w��W��2G��gKGr-=��u��o	7ϯq3 �x�3r�ϊ��W;�����f��o$�%_�E�$��y
/>]�ꀂ�I
��֧dZ��{�ݖ]a�zs��OM]�즁��
F2h���wP5j>���Ò����c���u�F���UϼԽؕ3J���m���(�ؘϴ	����4����
�bķ�)B�H��%OC��~
-�
װ돝HK���_yqZ�����>�o�!�,$��逝����m
rV�Bb2�ٱ��
�,3�6�Ksl��#n��)�X�h�
�C�h�?�(�Or�8 $��2Jq��6>�S����:t��|��3�[Ty��
�ݔG"�� �N��
�EP��h��ډC�~�r z�;��ǩ�o��
tk9��K*eM�k�)�g��,��eU��*c2Z
m8Ƚ��R�����ػ̝��3[����C
�e�_��N��7ܐ�,x��]�<9ئ �
�x��Q�4� +%rr�!�l��� Z��%i����j8��c�Æ �
-����waL'^L�
f0�I��S���RrH�y(�N��[�C�zϽ��
�@����$"��%zvP0ZV�|jF
_���n�|]ܰ8���� ��C
�����,J�0_j��&
R
�
eӑQ�
P�1&�1��kAW%�zca+��P���#, �:~���a��$o�7�;�� �*ʢ7�U�
-f� ?����P�e�C1�>�Ի�;�cq&猭��f9�D`f �H2B���_\���t�H�C�+$�$�<�\zkǎ�s��o_ �*�*�9[��!]K^"�x�H�҆V2+C�9���{�-lc �����@�NI�@\=l\�"e��#�|�m�T9���Oa���f�ٽ6Nř��&���zD��V�Zv�I�Q�
�Y�0���;�T&k�)9�d�2P���
���rl&R����
h�ٟSa���Rh�4ܙ�9�Ϯ
���q���Kk���K$���zI>�
~ 1��?�S��p/���_�k(4�D��uB>'�>�=��sCb�ߞs�/�y�]M����5���B�����]S�=��2/������1�`G�6���E�K΋S��iˉ�0/�~��3�p�eOu��s(EzGq�����l'����O��r�
�e^�3�2�R��x!��Ȑ�ZN�P���f�M��[�����
-=#<�b� �am��D�~!n�3a|��[^¸-�V��1�*|�� n�t
n'3K�]c�����}��t�)'s0���*���ɔ��� f,o��J4'����K�0��4z�K�W*?FK��n��*=�9˻
y��W��1G�M����Py�q�5�O`��W�i&D��o �ȹ��
�Ͱ�-֩>LLC%��0m���[�zd�&�݃�Aw��V�BFK�v�c�]vY���	 L����Y�ԡ���K<qg��+
-��"�N.S�e�R���8��oϬq��Y�b��x�|Yl
-�'UVKt��+�z�r"���3���$�p
m���+|�0rT���'���*�#�߱P���6��Zj��*o����V��'L��R��=�mK��K�R޻�'T
FY��
�1����l���] $��׃�MҖ*���If����|4�l��N�����:�����xW��B o���6��]q��x��ᮼ
-w�^�T��6��,�
�t�@+�~s�����s�	:��o�'�d�1��X�����`3��U�$�A��)��
-65��A�qKr��+����i{�ߍ�@ȅ%�\����d�d
�/�Hx�(_9�>Vs-/<���$��7_Iΰ�'<�F�6T鲫_����
-%"��^�g+J
�n'�t��W
�� h�b
�#B�AJ�11&��@v�(4j|ȫ
����U�P&2endstream
+x��ˎ#��|���W7��$@
d�� $��Vj�JF�X-���oO�U|�c�]H=j��UŪb�8_=ξ|+�\f�j���
i���q
S��_�+U��e)?��v-L�|����-~?�k�9���O˕�f��O��V�����Ş��=<����DŽ��	�ᾼs���X�_�f�O�U��t���
���y>�=�m�^ �e���7s>_	ʹ��l"�31�&^�#�٬�sY%��B@�C���!j=-�������\����' z��m�������C$
���l�b���W�b�R�
R���#���|+d�� q-Ah��P���|�+�?���93uMK��$5��u����C!Bg���+�u=��mF��2d�Q�|��nٞK��L>�sr;x�ސdE�$��b��(Z�Ѻ�SO� �&l�_^Q����o�

dX�
'+�`��mF�%��������c‹ߣ�[�*��G��,�t�C�'���D�Ɠ����!��B�*�̆a{L�^,���~��ҍ]�}�Yz|�Y�Zb�t��ɟЧ��õh�a�H�R�9���
K�\É�!���{�����N�c�=�o��$ʉ�5���i�f�&� [...]
}�^�E�W�h���Oa��v
�NF
��T,.D*C��-��h�����OQ	��[����<�`���6�m�'�v�
���
٠R�掄�۬��
+�a��
� ��U��HH�/<$�ʳqM�+ٰ�*|5�S� �"�Do�
�a���t�#�_A��_`R�
�3h�0i�"�Ie ��R�6A���S�%d=������P�s&�O�T1�T���"R�.�Y
Japd��`2�n�[���!G�ZqG
~d����KP
)&��.im�aQ�*���)4KŐZ��P��P��݅04�܍��Ir�Y�9�
+0�5Rz��yY[gpv1�.� ���Z)��Z���V�J��f�P��^�`�Ojhuc�+�+O�p�H��0m�I�GЏyM��J��U����YU�/�"
��ύo49�Y�g�
+_ceOTe�0�7������tn�	�O�`�d�;W��*Ƶ�7���
�1�<5���l�N���P �>�7��3Z���>�S��"��b�}�xښ�†M�^2����Ѱf
h����4�
���/>�!���UUU8��-SA��p�H�xҗk�v�p�
+��^?��WS�|B���?޴���7Lqy�����4��c��l��R��,D)�0Y��~6or�� &; R�͐�^�
ف���yIl�X�]��>
��
r�<R��{#7T҉�ۇO̝qt#�-�)�[gX��+3Yt��⢃@�G��r׎���9��"˫�oa�/���?C��*06
��X<��g��(˪�<��-o�v��j�P���	��J38�F1a����t_���O��
Γz
�]0�~��R�^RMF`��2Y��L��S����a�J�N�A2wݜ����+�ǿ_1�Fy[�l��lT�Y*=u��>��$������>or+Q:�q'"e�ŨɎ8P�T =�Dz��&+d�鏔���(�{���MO���n)
w���h)&nm\�O�H��|��R�\��\;
7K���hfJv_��2�)���w)�g��Q]�Z9ݟ�ָ٧˭���f#�����F�����ݼ���q�F���xY�/�row�
+*��:���T�w��nw^_��jL�@j��Ǚs
|.�F΅6@��7��ϳ�~���Ͽ�q]��P�[;?�Dc����i��ٟ"����9b�����Cee���*���P�	�Y���lP�*` �s���R��9������


�:�� �$Zq�阾�Y��
z�s�
����
�O�š��>�d2������������pC���GN�W^B T�B��D"+B.���r���JG%�a���[�[�.z�c�r��	*%QA4�$���#�|/�
�?���endstream
 endobj
-1086 0 obj <<
+1081 0 obj <<
 /Type /Page
-/Contents 1087 0 R
-/Resources 1085 0 R
+/Contents 1082 0 R
+/Resources 1080 0 R
 /MediaBox [0 0 612 792]
-/Parent 1018 0 R
-/Annots [ 1091 0 R ]
+/Parent 1013 0 R
+/Annots [ 1086 0 R ]
 >> endobj
-1091 0 obj <<
+1086 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [160.229 505.305 166.954 516.772]
+/Rect [160.177 505.305 166.9 516.705]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.5) >>
 >> endobj
-1088 0 obj <<
-/D [1086 0 R /XYZ 72 720 null]
+1083 0 obj <<
+/D [1081 0 R /XYZ 72 720 null]
 >> endobj
-1089 0 obj <<
-/D [1086 0 R /XYZ 72 656.405 null]
+1084 0 obj <<
+/D [1081 0 R /XYZ 72 656.411 null]
 >> endobj
-1090 0 obj <<
-/D [1086 0 R /XYZ 72 636.314 null]
+1085 0 obj <<
+/D [1081 0 R /XYZ 72 636.314 null]
 >> endobj
-1092 0 obj <<
-/D [1086 0 R /XYZ 72 416.638 null]
+1087 0 obj <<
+/D [1081 0 R /XYZ 72 416.638 null]
 >> endobj
-1093 0 obj <<
-/D [1086 0 R /XYZ 72 264.375 null]
+1088 0 obj <<
+/D [1081 0 R /XYZ 72 264.381 null]
 >> endobj
-1094 0 obj <<
-/D [1086 0 R /XYZ 89.933 148.443 null]
+1089 0 obj <<
+/D [1081 0 R /XYZ 89.933 148.443 null]
 >> endobj
-1085 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F76 747 0 R /F48 554 0 R /F78 924 0 R /F7 753 0 R /F8 551 0 R >>
+1080 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F142 743 0 R /F69 550 0 R /F149 920 0 R /F7 749 0 R /F8 547 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1097 0 obj <<
-/Length 2378      
+1092 0 obj <<
+/Length 2332      
 /Filter /FlateDecode
 >>
 stream
-xڵY[��~?�bmt͈EQAS r�
�n�I���V��F�s��_߹Q�lz��E_�$���p�o�~x�����i��4�{8���*���,r*20T���9J�
-���θ|���T�[�銦��u��~����~�>���He6��h����S��V��N��ɴ���m�m���H�j��$��c6]���~3=
E[�8J	_�b:V��8���0�
�]ڧ�*�s�k�CUL0�
-(�s�����i���$�g����/A3�zl�$�Aj�����7�z��y�?���]�~c����T�v��D�/�o��ٜȴpN1T����Ԑa�R�5����	bHh�F�XVN��o��:�r�(
�je2��Y:� ��
��r/Y����/
��g��+&���i^
-
5~zl*l�/�~�Ʊo�]��h���Ӵ�;R�h�9=P�L�8�J��Ub
��8���͢�9D
��ge|H��
�pH��G�����qK-��i�j ����&}���.�FY�
i6թ��]Y���=�7�>UY�%�
l
�����L%9�/`Y����k��{�y�ͥ���P���
���]�6l��
�ĝ�"����W�=�Ŵm0N�`�䋂G/@���
;?ډ�S݊��d�$�*��_�<�
-���M��o�25QH�,!}ܤ��a������<�B Ղp��z�Y��Rb��>�)�e���8 T�Wj�� 5�Nu�^b���[
�А��S<nw��I0���C���g`V+�M
4�8Gbҍ� i6S5t�%�/�wČ��@�ջ�_�|
-��8
夡�x)���B��
����!h,��X�D_[���c���D��v�j�y��S4���
6��?��Z�_b.
�O�ocs��g<x�
�_1�끒�(��xAی
���ْLdf�l��B���k�X����=
ۈ�����7
y�G��9c�0) �.�+���
�z
�u
�R��ߞ����*�'@��F���Ӡ�^
�r���]Ϝ������'a(���r����&^f!X�ͩ�(�<�*��h��
��z
���:VId�ɖ
�DZ����T4�$�e�E�����Y�C(M�*��DD)�=�[h��Q��
r����.`:#<����/�;ʪAf�U�&r��d&GlA���WH�8��,�P�H�@� \Z
�J�0Vw�h���MTb?��Ā�dp`���S�㖹�F���� ��`����jV��fc� �a�;�8������p^�R����G�a3���#{1�r�>�2��T�W�f$gE��Zi  �3�6m=���$�
OS�8k���o#@��
�c?�h�͔��

gW:5_���B�' ?!:�Ȟ���v\�)0�LV	D�9�
F�#��AT��/�̢����"oI�9X|�y�N=5�faπV��^a�i�*7K��@6����>����5��./��$<�� [...]
-B;�&p?��S6}���t�lt!��+��n�^���pq
�*�QzD��ʋЍM�T���m!�nȩ�M5@&F
�Ȗ�����K�[ϔr�(5��OR�t<O�v������Y0�t�
p
ٟ��S���9�+o�NY��.<حm	{�/�J	�U
�Ic��<0:R�A�r��W�i�x
���2�I�a�e�����cc'����3����q��s1�l
��E����e�Ko��MT�_�C:sJP��:I�[�

<���E@
�
x���آ,b��H�t�0YV" �|I%��@]w�nqsoh�6���
���9�\l�?ar8K�U��^p���󓟯/��i�U�xI�~�6u���^֦x3��49̵���/9�������
A��
��s�*�t蹚z#�$����]&�\��7Ւ/!�
�)���;����f�0-����%~�:������lh��F�����<�p��5{ݿ��]E�gW���Sv.�Z�<�r<q��Y��T����d���b�O�'����*��Y_��P|z��)�2
-׹/I ��lwo��|��^^QX��χ���P���
-=$�
����g��ϵ���ጯc��L
I���A
-x8$��i5IO����f��'�'��+���@p��y�(
���
!ptO�^2����)s�l��)sĔ���d�����\���
~7���u� ���K��!Q��8��w���CF�endstream
+x��Zmo#��~��%���mIn�H�
�"h��Z4���VwNe��Z����.�/ڵ���־
9�p��3C������d}#�����p#�a��7�;�5���s���Z���v������\wp=�u�k
��/k'Wo�������4�Ǚq�
���S�
�ŀ�cF8��|�洖.i��
�_��Rz���<��RIxu8�{/[�Dϙ�G��
���6̶x�
�
����m��D���khHE3f����0�f#4�ڄ���
�}	���R�YY���)%�l�l���G��n--� ��&3�h5�9-Z�b��a�Ⴞ�4gNYl�i]U�O.i�dxw&��Վdv�I��;lt%V�X;����)N'Z?�FS�S�������
+� �7�i+�%�E�t�o�g$M�!��~��g�@��N��
p`_zݟq���=�%U��(4��}
q�l:	�3��
�
6-�	
7�֡�[�֪���qL`�U
��>�S��w���qA[��Z���;��/��qL
l1X���;��
���+\?�m.͌�� 7���F
�j
 C�G�w����ɲF2n����L�Ѵ �j^�ܤ#��ܮ��%>�G��o��(@����{��&�F�8o���
�3����Us�{
+�6�[�.��
ǖD�U¾f�A�6��m�%	C�	���k�S����V{���m
� mu��ϯ��������A��2�&^���
��,����q8\u����)
��;��V�v���%=x��(m˘��X�݄��-�y0:����h`�T�%|������y���᩻=��sϘ~
+Q[�A z%���ϯ��t���j�9ux�>eډ���>��hԧLQ�Af�̽�vס�=֫�fl{�|%ĉ:L����*ll�qǧ��w>$�ۿ��=�.���U)�N
����,g����4�)����8[�s.�5����
� Ķ��b���!�5,��6]$��H�<��s�MD<	D_Z
7�������r%%�LG`�bb��c�d ��L�������0

����<��8 ��M0�[rfD��F@���h�3�)�bǥ�d�(��k�J>tj����:�-����[�y:m�Q^d-s�T�	������1
V3Nf&vl;�O���E.�_u� ��Պ"2X�K���9�1b?�]��q�4��D�4�$�j�*	�
+�.B��I�ٺq�]�K��a�}�^LA��w�)T�@��P&r)[/5�w�����)�0(�P=�?�D�嫢5O�B��Ѫ�)O���!1�
�Q�Y̽ý��~s҄j������!1��L��0Jb�ܯ��,U�H`��i^��Q�_%�
"mǡR�/Q�
�̩�hN"�����w�X�c`��N3L(���5���iA�0��q@�Һ�T� �����
�Y֐Z	�^]ͻ+P��U,`n*����/Q�D�a�&�%�H.���~a<�M҇�
�%x�0.�plbws
[�~sK�J3WdQс�_��ZM�̈�m_���f�N�o	A}�:���@�z�����(�ϣ(�;e)M�?��c�[h�a0Y�w��*�hx|a�n�g�3c��S���j���Y}�;=�v�Z�~��f�
��Cv
BG̽r��|MP���M���Ĺ����g��_�I_�㈈��K�G�4�aMo�׹8�24�h����r�����1��pݫ�9k��
�mV�R<�E?�”X�[�l��^���N*�4��
+?�S|��.%�R1/9H�PyV(;)1�	�'%/L!۶]�i�U5�;Q�h-�
,bt�^k��E�
�q��ė#��|/��`�.m{��hc�
�M%�^�+%Q��)�ꎔ0/S� a�S	���-�9�w�����5�B��̮P��c��:��±4xqq��/o�g�^44�̕%�`]�X�����N���a�/�g�
x�`w]VӋW8_%^�ARɇ���r
QS��-ѽ�06[ֳ����žS������T��P9i����i�zp�ث�]p!-�ů��)�bt�k�M���>���L��Yf���
+2�_�O�?�)@�r�4r��:��8Sf4�ܽ�?L6��A���R��~ ΧˣLx5y���"G��ݪE#�BQ�K�c"-au��i��Vu+^�cG,�헤V¤@�-ȋ=��&�������G�J���X�Ru$6y�*��fl� �3ReV�7
[C,byB��u�
QM�ΰA��(R��~
��@>՜K��K��2D��2x�GS��
'���A��\��(�
��5!`��T�I!Snm��n��)�endstream
 endobj
-1096 0 obj <<
+1091 0 obj <<
 /Type /Page
-/Contents 1097 0 R
-/Resources 1095 0 R
+/Contents 1092 0 R
+/Resources 1090 0 R
 /MediaBox [0 0 612 792]
-/Parent 1109 0 R
+/Parent 1104 0 R
+>> endobj
+1093 0 obj <<
+/D [1091 0 R /XYZ 72 720 null]
+>> endobj
+1094 0 obj <<
+/D [1091 0 R /XYZ 72 720 null]
+>> endobj
+1095 0 obj <<
+/D [1091 0 R /XYZ 72 674.343 null]
+>> endobj
+1096 0 obj <<
+/D [1091 0 R /XYZ 72 520.421 null]
+>> endobj
+1097 0 obj <<
+/D [1091 0 R /XYZ 72 500.324 null]
 >> endobj
 1098 0 obj <<
-/D [1096 0 R /XYZ 72 720 null]
+/D [1091 0 R /XYZ 72 438.229 null]
 >> endobj
 1099 0 obj <<
-/D [1096 0 R /XYZ 72 720 null]
+/D [1091 0 R /XYZ 72 418.132 null]
 >> endobj
 1100 0 obj <<
-/D [1096 0 R /XYZ 72 674.338 null]
+/D [1091 0 R /XYZ 72 358.03 null]
 >> endobj
 1101 0 obj <<
-/D [1096 0 R /XYZ 72 520.415 null]
+/D [1091 0 R /XYZ 72 234.493 null]
 >> endobj
 1102 0 obj <<
-/D [1096 0 R /XYZ 72 500.324 null]
+/D [1091 0 R /XYZ 72 214.396 null]
 >> endobj
 1103 0 obj <<
-/D [1096 0 R /XYZ 72 438.223 null]
->> endobj
-1104 0 obj <<
-/D [1096 0 R /XYZ 72 418.132 null]
->> endobj
-1105 0 obj <<
-/D [1096 0 R /XYZ 72 358.024 null]
+/D [1091 0 R /XYZ 72 194.969 null]
 >> endobj
-1106 0 obj <<
-/D [1096 0 R /XYZ 72 234.487 null]
+1090 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
 1107 0 obj <<
-/D [1096 0 R /XYZ 72 214.396 null]
->> endobj
-1108 0 obj <<
-/D [1096 0 R /XYZ 72 194.969 null]
+/Length 3192      
+/Filter /FlateDecode
+>>
+stream
+xڵZYo#�~ׯ�#,g���	���:�!#Hl?pɡD���!�+��TUS=l�Zy�D���������n޾��D��5fr����Tƹ��]Ukx��i�sm�[1]�
ފۙv���3��5=�Vs�{��^x��/���� ׊��V:Z��7og��vO��

����$����.���s���7o�
�0���+-�IM��[[�4�����aa��=l���{ϸ��uzѣ �&�@��Koᩭ����d&���T��Е�
��E�=��@G{���i�L�o����n����:ҌlZ��/z����-������.������;<�����
ސ��{�
r
�(
�k�����x�
+i
4�E��)���_�زy��e8����1��[����*h���j�#W90?�6��3�!���{���l�C-G'ϙ�Ql
-x
+��E����֓]DJ=
��7�ޢ%��T�6�	�����i�z�Y��m��[��i��
>T�J5щ�A��<6��(��pw��Y��KR�m��"S�!�/�hj�%Q��l����"in�B�
�o��F��Ƿ!x�a���
Y�z�
�&�>$
b�����yRcoG��I�����	��6-*x�19�n��Km�ɤp�Qd�t��_���G�!��}�@��k�
U
_���&-l'�l���B�1��v���[cRx�|�{t�E�ΘZ�9kcV�ΐ`_��'A�ޅh�C��ՒI�Oν
�
.��N�'rkv����)��c�%��Ohwܵf.ԇ&k�����t��Ǡ�O��ݭ�!HL�
�a
ٟ��+��T�0@�mFf7e/����u2�]�jA�:F�w�g�
-�R[˺M_gNUF5$�;�1����r�9V�p����'n
I8�\��l���:rP���2��;��XzM��|�
+��˷�{.}��Av�1ʴ�c�Gԏh��G)	WA�O�X�x�K)!}�l�ra]ԡ�Um�CL�/�b
+n�m�?.S��vF0��g
¥�m˓��s-�c��%i�+F
x{6T�kZ���@�H�
 �*�*�v"�I珔�aX�Y�Ђ�E��PB�˜
+R{
@�g:��aZ#��o��
<�
^?���"p���	��K��
�@,Xt�`�+�����V�k2�
���
�2d0���&)�Bg��X
�����
J�6
�ITC�ŷvO��
=�|Qq���D�+��c�����6
��g/��!��T]h+�Ln�m�Ÿ?��ytL��[��Ʋ��?������#�bJ��kD
+/	'�wl4��
+9�w��ûF���D��]
]�����?��	޾�Z���
�'�f�`=�ӥ<�‰	?i�OQ\rއ���.���G纏1�ci��/��j���+��R�"v��3�qE�
���\����.�/bf��⌿}�D#����h|Ɛ<a�g���󐦝�?v at K6�0�[�G�!d�J�.��C���Ŋ0�u&l�Q�>@
^�,�h
$�ir�3
�[a3���J�e+��W��e�U��RN�ڇ�ى�vTߎ�R��w}��T
pmV�����>����������
:
4�^���@�y�>�
�0�s����B�O�]�
���~��\O)3*���{2�T�� MtVy)fO;��k�)X�.6N��i!"E����
B��U'�E\��D�'�\��UR�/�޺�2n
��q�
��=�:I?b�G��c�����_
+��U|�IPؗ�pe[��!;�v^*1\�T����'�U��Ÿ��d›�\e����ME�k��c-~zL�=�\�ln�UˡS��N�B�	�,j`3oQ^F�X���nx/
aD�?��o�ڪ11�?0O|
$9��g$ۘJ��yC|�3�4�ۤ
+��{�
�jm윀�4e���� �%t�-Dž'���x+�j��xY-Oz����_�U�
YP-`1�e��*-�k����բ��+f��.�C`"ü����z��Up	*���Tamմ
+
��A���<c ~&��'U
+���+�M0�Lh�+�8h�d)y@�6
��<7i0*j6q at J�s����K�U�f}.�a%�e٤(�Y��%��1�s�|�nмʈ�
�h]��b(�y�N��s�fC
+-}�>��;.��,��,ZEc�J'�`�9�;����Ygc{�����s��rj�~��	^;]B�1�\r~b�%@�3�Sy�r���
h��"9���8�Y�UWt
�tS�F�UZ��p�x�'

��;�m����q
��0)ؽ3�J
+¹4+
��?���a<��Jօ9y�Ӱ
+Q'��-�=OF_��2����[q� �ѕ�vع����4������X����$K���#��U���~؍8�SfѸ���	
��k�\7�=�)�^��+P�b!%6���i��4j������$1������c��>#80q����^�
�+p�8�����E#<b����U
=>�Ik��]�'��x7��D<������t�?P1[C�z�=}wܤ�X��,$]	c�j
|Bl��/��Pc��"ܲ��y���ҝ�(�*�
+�dQ63��
5E���}�q��f����f�	�
�cT���X��wfs*d3E�]��9�f(�j�N:�
����D�
s���(�.�c׮�u$��p~�u�� �e�=�ン��%�6j���A�~��S�Е̘n���A�UO��J0n�&Hr����7?�RO�7�䛛�Z���}]���lodC��������Dgf)K&J��G�Pvk5Y��4�}B�J5Y5�&؎R�a
x���7.�@�
,���F�KU��
&uTRjV���'�¼�ѱWa͸�������
ג|�mlP
���� G�:7F�y�Q��{���o¦�>lx�] 2�0Nv6�GG��p�:ݾ�E�Z�.�u���	�q(R��_FW����7�/籋k
]��ö�+�@���8#ͯ����Yη�C)?φP��
?�<;��A�%K�
XJ�]�7�%#+�ʘpչ�3�c�F<{п��C3`l�����ʱ؊Z9=�X��K*|�y��mln��Y��� ���J�׵4�JQ�F.�=ڼA��x����K�Qرb���$�y�r����c�qE�l��
)����V�Q��� ��g>�[�Љ�|��v0{":�2mL��)K
��{���'�g��`�
⯧ ~9(�|xS��!���endstream
+endobj
+1106 0 obj <<
+/Type /Page
+/Contents 1107 0 R
+/Resources 1105 0 R
+/MediaBox [0 0 612 792]
+/Parent 1104 0 R
+/Annots [ 1111 0 R 1114 0 R 1118 0 R ]
 >> endobj
-1095 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1112 0 obj <<
-/Length 3264      
-/Filter /FlateDecode
->>
-stream
-xڥYI���ϯБ��h�:��_�_��C
{\�x9pDhĄ�
�7���
 %q�Lr�H�|�u������U���H���iGi���.�L%0T��
�Q?����"x�?��
\�yP�S97�gp�D�t�8l�n��`n��i�_;����ƚ
�M�������/��|�>�V�(
�I�v���0��i�2���,%��<������F
����~X?�G#�
e3(�:Y�>�޻�Ry�$��'�Ѯ|ʞ'x�‹���h��z�
�����8YVj�2��O��S���ܖ(�
�*�Ie��-G[����.
;,
���^��i
���V�W*�hs}�
t�Uv�|ţ'����Z�V6<t�
a�P��qka�r�^vq�i�~��"�SP�$��O.倒�֩�����oyα)DZ���y���ޣTfI,�Ӗ��vƷ�(h��� �~��Smy_�C��>�@e�e
�N�R�/���j�Q���R�ԓi@�$RAG.ڢ
�Ŀ��e�Q����=y:*��
�0����
��,~Z��C�E�#y����- �.[�5���f�;J|�DǞ\|��i�fK�0��ăg�}��8$3Ǟ,5�q"��
z��3(�^�!7� ���<����!(��_�i–d�^����r
�铌����M ����� 4��ޱ�QТ(c]�D9�8١���G:5�vƁ
�[��*&e��լזg^�~1x�
�|o�u]���P��3I��{����Mn�<]��I�L�,���,#+(�QL��%I�~o^���J8�C�w勨$�S

*����2i�b�Bu�G���:��Q�JA�J͕>�tB����籤"P ?��%߄��"�PNS��
��8d~���*D�F%��Z��϶���c8����E�����U��?Ԫ6*Ԑ�X;�>��O3-1�&d�Z�}�Р�?�@F�Y,��t
�>9*cȉ���@����s�7-�@ W~���<>6>��<��ˀ��A���
�O�U���Uq�� H>�طIvʣ`�D_6�f���+#����
-���1U$�D�@��6�L�&aaR��SO ��O�BHR��_���;���|�I���%.���Y �'΍0��\^�<��P�<����!�k]X����)��85(�����9�i�z5D����ߔó�(�����·)�Lpl5+�@�W7
_�#�A0�=HzVJ�x�%���-�,�(�ͮ��%'^LukD���-�.
?������򜙍�^��B�����!�WLAC4����X'�rH��_��g}��!�w��;�@�\HN�2����T
- �
�j/
>�W;���)-�^��_�;��ҵP�'�X��]ᢿܐOv��u��Ā���}P�����YX�S�"�x
jq$/ JC�� ��Um ϳ$Tp�"
-�>m�!�*������@ꖒˑ�,�L]k�J��P�\�v� �R���õ�
��{&�.
-h�T9$���T-Lr�]T�n�;k��Ǝ2I�HD
�5
\y�`ɗi��l�����"ޕxC!�$��#W<��N
Iޅi2�>�K16�%+$KB����D�$�5JR����]���>^Ng�^s��7�z|@I��F;x�-u=���d���E|
t8�ݸ��YVp���E&�>��>��
�Kk0X��:�v1���->
�yZ�
_�=��u��A�d B'�
���� .���U-P�|2���!J���zo���3�W�G
-�I�)�S�
-�,�K�;��ї�8��)�n����<y�~�6��
-�s�ߡ����6B%c�A�md�B���� ��?�

q�L]���=Q��N�ooˑ6�9�o�L����}�3y텏
-���R�kG�Ί'&��
�ũ:Qȋ$f��q�a��2�6���
8t^
�
�	'��TJő�k�`q'
��)��0ݪ�r}X��2تF�6ӌ	S�F7ɜ�I��YC��
����gg at ebC�
\��!	�R$�NH���"�P���)v��-D�`�rzA�k&!4&�
�c�d �执���v����q��	1
�����)
&BT��?�vr�I��?m�B���
�Z�9t]Ig�y�#g\�oUU:4�o<��Ib�5���
�
7��G�w�츔�_إ��$Q��}?�h
������'���q��)�(~BW]ݟ MW-Gc�&�$�����_�f�oU8|}/U�����y!Դ��<�[
�N������m��� ��`Vz�k5҇�'\	.
R�p�L�U��
(
�]C�Jx"*�ˡx��<�{iگ��P�-��8
�⍬yɓ\%.��<4yq��j��[��|���v��F�7�����<
�͇��B�@����<?R�Ǖ�m�� ^���PJO� R�=lV^�`XK��8��#�:8
o�T��К��[�ƄQ�ހ ��l�v�0-��2��=��vvp�-��E�6~�-c�kf�S
-;X�9睂V�����m�b�tm8��qB�{
*��1
-�nA!
E�q_{
�{�����"�
;8 J�,ER�yBB
�	��B�o�4��k�v�V}
-�%³+Fa�2#��0nR�,T���
a��?�����J^��1�@�+۹���	5��o�ۖP����LR��fI��L]�臹���

�9T�N�JW�D\g�����E�	����o�lid���ȎA}W�
q�Q?�—ɧ�=|���
��A}�Yi��>|x��hW=D�o
�P�}��(��b�>Ā^1��7�?��/sȑz������
�B�
D_ �L�O(	�5�5;���r��ܐAcFƯO�>�;�7\��܂]����S��AW��Yj����lv�t�;N�05K?��\'a% D�6k��[O��w�ѕ�0^3�6���7��ɵ�N�
��[�r�3��L��}w���������%�����a)����}I*�*Cߔ ����@k/�x�z!؆>�>H
�M�4S	0��}���l9�#��SS
^:�&��|8X�g�#I��׸`�aQ��E���m.\��+�Xi"U WNW"{�"UKC�׎n�O��|�������	�!4q���� E�y���7����������{���	
�J�I����1<.��W�1�r���Rie�'l�0儛QW��G���|Z2��=9�A [...]
-endobj
 1111 0 obj <<
-/Type /Page
-/Contents 1112 0 R
-/Resources 1110 0 R
-/MediaBox [0 0 612 792]
-/Parent 1109 0 R
-/Annots [ 1116 0 R 1119 0 R 1123 0 R ]
->> endobj
-1116 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [147.666 597.958 338.098 611.905]
+/Rect [126.022 598.566 308.946 612.4]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/making-abs.shtml)>>
 >> endobj
-1119 0 obj <<
+1114 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [414.928 386.086 421.653 400.209]
+/Rect [414.533 402.358 421.256 416.412]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.6) >>
 >> endobj
-1123 0 obj <<
+1118 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [462.566 283.636 470.412 297.584]
+/Rect [462.566 302.338 470.405 316.172]
 /Subtype /Link
 /A << /S /GoTo /D (Item.144) >>
 >> endobj
-1113 0 obj <<
-/D [1111 0 R /XYZ 72 720 null]
+1108 0 obj <<
+/D [1106 0 R /XYZ 72 720 null]
 >> endobj
-1114 0 obj <<
-/D [1111 0 R /XYZ 72 720 null]
+1109 0 obj <<
+/D [1106 0 R /XYZ 72 720 null]
 >> endobj
-1115 0 obj <<
-/D [1111 0 R /XYZ 72 674.338 null]
+1110 0 obj <<
+/D [1106 0 R /XYZ 72 674.647 null]
 >> endobj
-1117 0 obj <<
-/D [1111 0 R /XYZ 72 556.115 null]
+1112 0 obj <<
+/D [1106 0 R /XYZ 72 569.153 null]
 >> endobj
-1118 0 obj <<
-/D [1111 0 R /XYZ 72 475.915 null]
+1113 0 obj <<
+/D [1106 0 R /XYZ 72 491.881 null]
 >> endobj
-1120 0 obj <<
-/D [1111 0 R /XYZ 72 355.533 null]
+1115 0 obj <<
+/D [1106 0 R /XYZ 72 372.721 null]
 >> endobj
-1121 0 obj <<
-/D [1111 0 R /XYZ 72 335.442 null]
+1116 0 obj <<
+/D [1106 0 R /XYZ 72 353.232 null]
 >> endobj
-1122 0 obj <<
-/D [1111 0 R /XYZ 72 316.015 null]
+1117 0 obj <<
+/D [1106 0 R /XYZ 72 334.413 null]
 >> endobj
-1124 0 obj <<
-/D [1111 0 R /XYZ 72 193.101 null]
+1119 0 obj <<
+/D [1106 0 R /XYZ 72 212.762 null]
 >> endobj
-1125 0 obj <<
-/D [1111 0 R /XYZ 72 198.082 null]
+1120 0 obj <<
+/D [1106 0 R /XYZ 72 217.439 null]
 >> endobj
-1126 0 obj <<
-/D [1111 0 R /XYZ 89.933 157.036 null]
+1121 0 obj <<
+/D [1106 0 R /XYZ 89.933 149.709 null]
 >> endobj
-1110 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F76 747 0 R /F48 554 0 R /F67 564 0 R /F7 753 0 R /F8 551 0 R /F65 557 0 R >>
+1105 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F142 743 0 R /F69 550 0 R /F114 560 0 R /F7 749 0 R /F8 547 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1130 0 obj <<
-/Length 2868      
-/Filter /FlateDecode
->>
-stream
-x��ZY���~��,�@�>H67Hv	�� ��"�EQ3��D-��'�>u�({
�bu����������WoާѝRa�w��;�P'�]�0��h����m�lpn6*���OG-���#����3>��6�qAv���������Ӗ���@˾�����Nf�l�����j��#Ut��Z�o��lN9��O�e��q:���=o�
�
'IP�'
�����3�Bz6��)A-�V�!
-�[z`�&�q�(��H�soԣQB���Ow�TI&���C�p�5
-���Im�
�9�?7N��0�tP��9�O<ϫ��Qߖ+ʪ(
ݨ�	�<�x���Kw�(��01Zt�,y�=��
�[����a
?*ؗ�z[4���z:A}��TV�<�����RZ�("�MH��;
���G(sQ��E��rR�������A�'F������IJ�>o�k

��]���h�&�}�]M狾�e+���6�\�
#����Xs�`�
�c��j_�L��-� �j�nq�0$#��
mb� �0]��� oK�,D��E~�V
Md_& �ʊ�#N6`�
�H6����]��?m��y՗-����טξ�c�/�n�D�
��,�Wp�����
-v�94>'(�@���8t*Y�
c%��Pk��Y�_�V
�җ����l�v8�Pz`jʦ<h
|��o[�̭J�
��iYGtq#e.�W�X�:�B:S��������o�/��R;w˩>z�$�����4�
���)�����tq��}�$�e�ɕ4�%<	���z(��c�;O�BA�����������kE����O$�����Ӭ��$�Q2
(r,��~�Qޡk����\���DQ�blM:�I��sk0��q�?C����<�
��ǚ��1��95(�؜�`b�qPyt
�
�E8�ح*
,��{��<Yʦ��**,����e��M-F:Z~��6�6D��<ã����od�g<Ȯa˾ԝ���!Z �S{C`�U�$�h�����!����;Da .K�PB�z��
�x�܀�d��홝�R>q����S�0[���
�Y�Ө'��
0q���X���I�������P��|9n�~.�!�M3!�����?n�e\a�^�
M�ie�DY7�A�w����p�=r
��t�񔰣h��sc���~EH
j;���-�')��G_Q�6µ�>P�sz`R�]dGZ�?n8�p9�_�l~O9��{��D�*�i�"��0�cRR�1)[^#�ZFѲD
�`�"�ܘC�#���BT�f戂���+Ƞ>�'��	p��	pm�-��
���� _tK��R
%�;���V

-
=�`}�L��~���F�h��
-��aZ�5	$4��ݶ�:�lb��Y�H�V�2@͎1Y��
-_#
�
���J%��"���cy#���
R%p���c{Û0��	�:���G�GȽ ŠLm]��G~"Y�|�������{(׈�(�a����wٷ=�

ˁ=
-
�>V��s���/�ѷ+ټD'h��M� ڴdDm�fAX$z�3�oN
�8�i���m);���c>�S���^��a�M�H��P B0��1_��4�zcx�uwi���?��� �4_a����d��
�:��.L�XL��CBs���c�+�
��_�V�<@�M^I� �p���
R���|y��}C4�#�׀lA�J& H�7�
�q2��F�+"��
-�Z�	�Z��Um��dJ��@�h&ޫ�������9�
���"Zy��T�
9-Vz�
�C��G��I����tB��
K.�C��t/ �P�jXXeV�4��

c
����sە
��J
-Wp|O���t��:���(�����)�8Yk��t��Z%�
~�N
�;Vh�8^z�?��6�i�z�"EN�衡�.���WP�r=Vw����k�ǓT�nQ���8�cl
du
�G�����
-<����v��[e�A;��YY6�vY6��w ����X����L�U�tkP5Ƽ���\`�xҩDO����a <��a�m����!�E��/n���#��
�3�,\���d�,�U�\H?h�{[xG��*e���ZZ+�/J>�,���t�ExK�N]
�r��VP�O���@���s�z
�Ow��>^��3]iRS�Ё�l|-W�c�2J��PU5��r���[g �����q�);��j�"=�b���$�"�Tv��{�4�$NU�	�J�_�`�KˈF��ރ�D���En��b6�lhaX���!�B8�<Đ"*
ƹ�"`���h���1
��N:4�[|c�������/���c�;�����5�T&x�ɘ�2����������r�����%S������I���V���	^,�:5���׼4;'%�����
-$1KZ�ɾ#c�ߟΓs$���!2:ا`}3�����c{]�H�K� Ԏn
_��/f�$
�n���Zo� ]J����e�g� ���'
$(�ש�킟9��

-m�!�
-I�j�s��G������
#���n�)�][6c�&ݖ	�cw���ѐmn8K޹��1��CP_o�4vϜ����^�l��-W�@y�^i2%�G
����j�JG2;�h�V:bOE������	S����N��԰\*�c.0*�y�ܝT�A��o���}/�qF�
-�Q-)2����9NYү�`�7
�~x�%zOA�0&�?����?,b󾫷
�2*hR�Z��R��Oݸ�'{Y<�O��o�W�5`E����xo���+�Ƿ�h��pX�@�%�~72W�!@��.������Nx�U��gȉ�
�Ww����N?��ޅ��Y��

^��,t����q�������hyT�endstream
+1125 0 obj <<
+/Length 2754      
+/Filter /FlateDecode
+>>
+stream
+xڭZ�n�8}�0�`-�x�D�>
�ۋ]`��
{{Pl%�i��Xv�3_�UdE*�b/�!�$R�O�:U�Ǜ7�?�f!Dޔ���na�\�jQ&/4<��k)Wb��2m��-\�;��
������4��<��\�[eJ�p
O�����׭}�^?�%���Q������d�p��8݀
��3���n��������e�R-
+��x>��wQv4ܡ��R�pF���l4
�c�E�D�W�^dR�hl������3]ho �niA����
u����΍43��-C;�~3��KC#
�+vC��Ei��bg��Ѥ�{֒�7��gc{��� $�q�xy��ɂ�����ȭ�E-rm$\��	�=�i*?P�@�Mm��]e�Z�ڭ��[��୴��XeS���&�WUM
�v���:	;����gۻ��+5sW^�#�ӭ��q��k �Q-?��>�"�cx�봧eQ��l��\V�l\y|X
xF����M�h���$���o�����C
+�
+���!����Hy6����֧UYz;��[W�w�����Uw���^�=v�5
^ 
��6<��)��,�[�G��$�B4�=IS�#��0b�8`��~�����2��
�Ln+���Q��U�e��������r���d3B��äY� 񄎅�;�F岎�cG#=PO�f�P}v
uC
�R��Ms�M2��
�>�W�f��
����\��}`{�U�L���a_w��;\�s�g�9G�Ed�KP|8G'=�8�
�
+�Z��Q}���1�+�4�v�LE^�8k��\8��%�U& �,<=ڕ��ƘWu��
죊�ƝEb`�
��Ϩ/���L�$�k���ʷ�l]s��]KOPf�4	Ɩ�t�#/\�����
Ju]���3���w�vH����������
�X6h3}�n�Xd�x�5���0��r\����jʞ���m��us8��
A�%0����a���w'�f�0��	�ࣹjj��)ǘ��F1m��
05��ޜ�3��+�����z��v�.����6����x�����ֈ��mj�y6zv����u�����%c��
-�q�
� ��3�
+�
��A��(Hl+b�?$)s��]�Q�p�KP����v
{���0�
���=G�5������Y�1a��iyE�YPD!>	
+��[w⸐���e�I��*���Z�����(.b�J�#e��v�aR<���>�C�W��k|�C���KW&rb�6��&B��a�|á~�I`
R
�~
����0A�!���+�����nU���R�������	
����.Dn�:��6U �q��$��a��
�
�
Z��MGO4U�5��=P���O���
7����)����*�
����J�o���U�q(���K����=����q�E��	������@.���s?��ۯN:ԳF8�€�4j�l�GY"w��JݸM��N�!8il~�x�'*
�b
3�;����OoW:zU�xv!t$�ٙ�%ɫ��
3fI������k��MC�#�+����st|��0�>P��Z]B�� �;�sk�9C�^
�v�X�3��XǛ(�39J�4�[蚈6��V��5����Α�}i��j���{��N7�(���T�̑]�����8���ݦFʝ�̖Ҥ0iJ���(
�+Ok���~�i�-XE�������b6d챟}1��x��v�AE
�t�q8
�m�������Y�s�
�~��J֞y�k���5�����N�oCfb���3��=L��&c Q���C�1j ����l�~vEl+��ʩ�V��!Q|>�S
+�K��;7�ǒ]Q�䢜��]ϥ@���A
4	��e��
IҜ%I�X�̀LҾ�<D
+���q*�BS�mQFr+r����gt��	�
��đ-I�nFߙ*/d�yҼΓ 4@�g�
-2?��0`��Y��x%E��d7d�� ��[֣�b<B:����'!
WM\I�'v�}�^�Y�c�ň��n93��r�L���$�[�0��h9����:!f���{Z���nR�E�x��
�TÂ�P���/��D�-��'�q��u��>��m�[.0����.%�1H�ح�״��J-����\��
+
���M�TI
�_�bɲ�c҅��G�f^@�J�
����sN�Q��X��X�8�9l�J����<p�e��u�m�̓l!kΕ�Y��d��(��^��6���|�$}G.s”axc�}uc����E���g��ꢤ1�E��4M
+i�����}DB�ڹ[.�4T�w"g?���\������D�8��
4�b�a�T�91��_�
F��&�"�ʄ�������||�}$�^���Z��~u���u�I�����*UyYU�{hq�G�s1^F�"��(��҅�N'��!n'Ջ�XXĚTcD��/��bdO���
>^�}P�������a��_��`p@�����jΆ
zo
�hĺɍ	1��y���K�X�� ��\x�~��d
+�0�0};�q��@�k�
e�u�'�Cq�Q�q�E��
3�ђ��b�#��c5t���$'�\R�8���k��a�b_�X��Où��4LW��Ϝ�A
tO�g��S�<��c�Ժ�
5>���}�>u���KQp_�'_�?�
~���\Z4羮BR3f��L��&���d�kj^�v��>0��1�����o�&o$����偪���{��R  �*�����`�?ݼ�/��^�endstream
 endobj
-1129 0 obj <<
+1124 0 obj <<
 /Type /Page
-/Contents 1130 0 R
-/Resources 1128 0 R
+/Contents 1125 0 R
+/Resources 1123 0 R
 /MediaBox [0 0 612 792]
-/Parent 1109 0 R
-/Annots [ 1136 0 R 1138 0 R 1140 0 R 1142 0 R 1144 0 R 1146 0 R ]
+/Parent 1104 0 R
+/Annots [ 1131 0 R 1133 0 R 1135 0 R 1137 0 R 1139 0 R 1141 0 R ]
 >> endobj
-1136 0 obj <<
+1131 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [349.044 415.641 377.7 429.588]
+/Rect [352.849 443.111 375.619 456.945]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
-1138 0 obj <<
+1133 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [308.38 353.054 337.037 367.002]
+/Rect [308.218 380.346 336.834 394.18]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.23) >>
+/A << /S /GoTo /D (section.12.16) >>
 >> endobj
-1140 0 obj <<
+1135 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [470.804 290.467 499.46 304.415]
+/Rect [470.796 317.582 499.413 331.416]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.24) >>
+/A << /S /GoTo /D (section.12.17) >>
 >> endobj
-1142 0 obj <<
+1137 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [414.827 242.326 443.483 256.274]
+/Rect [414.872 269.263 443.488 283.097]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.21) >>
+/A << /S /GoTo /D (section.12.14) >>
 >> endobj
-1144 0 obj <<
+1139 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [380.92 179.739 409.576 193.687]
+/Rect [380.963 206.498 409.579 220.332]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.33) >>
+/A << /S /GoTo /D (section.12.26) >>
 >> endobj
-1146 0 obj <<
+1141 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [444.163 146.044 472.819 159.992]
+/Rect [444.161 172.625 472.777 186.459]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.34) >>
+/A << /S /GoTo /D (section.12.27) >>
 >> endobj
-1131 0 obj <<
-/D [1129 0 R /XYZ 72 720 null]
+1126 0 obj <<
+/D [1124 0 R /XYZ 72 720 null]
 >> endobj
-1132 0 obj <<
-/D [1129 0 R /XYZ 72 695.959 null]
+1127 0 obj <<
+/D [1124 0 R /XYZ 72 720 null]
 >> endobj
-1133 0 obj <<
-/D [1129 0 R /XYZ 72 671.728 null]
+1128 0 obj <<
+/D [1124 0 R /XYZ 72 700.41 null]
 >> endobj
 106 0 obj <<
-/D [1129 0 R /XYZ 72 561.905 null]
+/D [1124 0 R /XYZ 72 590.426 null]
 >> endobj
-1134 0 obj <<
-/D [1129 0 R /XYZ 72 491.908 null]
+1129 0 obj <<
+/D [1124 0 R /XYZ 72 519.823 null]
 >> endobj
-1135 0 obj <<
-/D [1129 0 R /XYZ 72 434.149 null]
+1130 0 obj <<
+/D [1124 0 R /XYZ 72 461.713 null]
 >> endobj
-1137 0 obj <<
-/D [1129 0 R /XYZ 72 370.898 null]
+1132 0 obj <<
+/D [1124 0 R /XYZ 72 398.279 null]
 >> endobj
-1139 0 obj <<
-/D [1129 0 R /XYZ 72 311.3 null]
+1134 0 obj <<
+/D [1124 0 R /XYZ 72 338.503 null]
 >> endobj
-1141 0 obj <<
-/D [1129 0 R /XYZ 72 260.834 null]
+1136 0 obj <<
+/D [1124 0 R /XYZ 72 287.865 null]
 >> endobj
-1143 0 obj <<
-/D [1129 0 R /XYZ 72 198.247 null]
+1138 0 obj <<
+/D [1124 0 R /XYZ 72 225.1 null]
 >> endobj
-1145 0 obj <<
-/D [1129 0 R /XYZ 72 166.877 null]
+1140 0 obj <<
+/D [1124 0 R /XYZ 72 193.547 null]
 >> endobj
-1147 0 obj <<
-/D [1129 0 R /XYZ 72 130.193 null]
+1142 0 obj <<
+/D [1124 0 R /XYZ 72 156.685 null]
 >> endobj
-1128 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F79 926 0 R /F67 564 0 R /F32 668 0 R /F29 672 0 R /F76 747 0 R /F48 554 0 R >>
+1123 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F35 663 0 R /F32 667 0 R /F142 743 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1150 0 obj <<
-/Length 3095      
+1145 0 obj <<
+/Length 2987      
 /Filter /FlateDecode
 >>
 stream
-x��ZI�����W<�$V��p���H <� ΁��'�I�@R3��}j�&%Ro�
8�7�R�U}���ݻ/���$OZ�<����t�8N��(S���ݿV?Gqt������}�CM��\��"j��~�WE	?C����b�����K��j�,Qڤ��֛4��w�J�������H���
�Y�z�R��%�i�*�������x�Z�N�9��IW��&-��*���OU9�m�5��b2T�Pop����;���N9�p�� �
�����F�
��|�����U�~m2n�������n��"��3M��6��[a]�z���U���깴X���>����
�cr��#6*u��EW+�>�� X�Y��^�3��ЎF�xh�2q�J��$ ��:0�����p��d;��˵իC�9��ei�H9��pW4P� CB|
��v��.���\������j���R�_q5�
L<�8A��7��WG*�s��7
+��q
��p�ca�\+�`ƪ
��5G�����tP�#4l�QÒ:Љ�%��^�l�7���8��3Hvlc]�갠�RH��
ug>V���c}�:}lB
`�v~�P�H��e�s�
m)4����D�0P�ۘ.`�s�;Oe
h̡���'����1`�@���GLU]_q�&�WG��I |Ѣ��mw"%#ӃM��_ȗuS�)-���2coҶ��i	+1���S�J�բ$5V���u��L�	��}�
pM���5-�/��M&
`��
�Mᖄ�B`&��j�
�`̦ ] !(����U�]��=KӀ���F����@
ؐ���\(An �z��@}�kH
��V_�$EdF�&r�2`���Bs�̀&(s��e����"�A�ړ����}�.����|Ka�`e�/p�Uù��职h��L!�^b%N�L9�)g�s=�a��)ie	���Ubp=%q��“=��`37�u���űo�T�6����K/���Ϲ���.0��]'��(i�X�M���hqXP��3��p2,s7FY�Նv����0y#=~y:��?
9��ֈ���.�}�̔��O�z�
-� ��
-c�Ւ֦����
�HU�'�ޚI�k�ܘ,b}�'���ӷ
b�PK
1��	e�"�����0��,�SM6��2�XlCV��w�L��\!�f�P+0�/��
�;��ZJ-�f�K(�
R��+t�ÿ�.�\"�PK���8
%)� N���UW5e���\aw��0����$�&�2HE).3n�Օ^���4�����Իw��l�vҙ�ѿM1��(�=aw�z��U�+���*�fI�)�G�_��m��&8i&�nq�t>9I���E�j1si��
�&S&vo�4N��e�W�K��@��pip�ѥaO�J���<����s&�
-d�g�?`ެ�h��
�n���%Pe��b�<���������X3�=��g��a����|����e�o�@�V�zĪ���W
��j69��YMA�v��*��7�
�N̩�&^�lu�-� ;
-�=�Ў3l@��[|��b at u��=��р:mـ�Kkϝh$�a�D�=s
-A�+�x��ۜ�� Ҟ��I�L��ΛP��=�،bm0��>��T��Lg3��1�r�(�`DB�{�w�*
�b��n;X��;���w8�5���^@�&�������l�.b�t�g�U�ZcFc
��Z��e,#��p>#�mt�]~���kMSf�����
�uSt��C�q1�A��� �+׀Q���G̚1���
����<�zs,�;.G��:`�Z�:
��=C��I�~h�N����e����������(A�^���x���f�fZ0��
-N ��9���B6Z�γ ��zr�~�3���0�1 at r�)Ϗ�T��"��=�w���l��sƶ~�44�S�iI\��4ڛs"	.�I�N�萐�쏯�h�����4S.��~H���R2*�с�?�Z���e��QYf}�ki}*����÷K�0�/����<t�}�>����8߀��taM0Xd��e>sQ`��������l���ř�x⬁�c&�ĝ
db�1zt�{�5s��{?<��#���Ř4󡻻1X88F��l4Z�k�E�/�S�ܛ�C��W���`&���I􇙉
�f�
a�n����oC`Y'tI�
Xao���-P�:3 at jf�xh�t�f�������	�����Cg:��9
-�����42�N�ⲟFB�S��|�0������~
�H��zq��pW�1�.{|�=�#��
�e�8y������G�nO����e��01�e;��)_X��d�P��T
9�T�OXS�p*w�x}��)����

��=p_�I��q�NU�z>i�j��O8��%�,��N����3����Z�,&��q�����ā�Sy�Mb��?��
Gl��
�~b��z���j8��
�<����q�Ώ��:�^ }�`X0
P8�q�Sv��\�_}
������+=��G����/�:+��;"��� N��
*�Tl�~�/���o��@]��sa����r
M��M�$A��C�dZg'o
 s{�2�i�f001\��@0\
9��MH�ѩ��D�OЉ���*Ӏ��{�%D��
<5{���$M�Տf�j}��G���ǥ��'{Y�p��wf��k��*�__���g�R�=M�����WF�u���^d><3��O>3�Z| �b�&�~}���N�őRy
��kxA9�H�U;��K�/����;��F��B�.g��#֗��4���y��,x�W��w�JْL����
y()��>
qa�%�KԂ�9�n�d���Yv4��8"�'�I�%'s|
 ���P;��Vj)�7�Ѫ*���-�S�
-�(�E�>f�6��Kf�g�󺢻
+wxm���~i8/#r4��

�(]���"=l�����8��
->h�_"���
��q��"3�A5m�����C=
�e#�L��g����$_]��Z�#�
�.�+�0[
;!��-=t~Q|�����Y4u�S
-�d��o��U���\:�/�����d��r]
-�
��`�6&����H�U_����
��endstream
+x��[Ko��ϯ0����|��b/��� �%Hr��e[;��jό�}��բ��I�	� ��G�U_�G���͛����1R)uuswŨ"��+C-����X��*z�V��+���͟�ǸΪqF�����[(wO
��#<O�
�!�܆�Wxx:x�z���XM($x��^jV7����Yia��~��?կM����4zuWo�O|W�z_�^��+�DŽ �� ���z��j�M�q*���o���mp�m��d��Àm�8W��b�5v�j͕&���5�DJ�Z���5
T�
Ҹ]�@�.d������2Oa~�g�#�h��EW�;H�u�Q 漸�pB܀��؛=���P
+�\�\�AR
��eݭ�@�v?w/�QЊ�	���������L��5����Ar}�o��k�չ��]qXM�6���^ݘ̕E�JD���u�. #OY
�Ԗ��R"4fg|� ���+
ӎ%�P5L,8��O�ܠfc�6H�6(�9zE¢��]Ѝ����q����
O�g���p2J����Ca:�R�|��&�j-*J,3�.�T`e2�Tϙ$J�U�Mڅ��>N�
)e2ٝ���ձ�_������&�HX&Hh\�[4���е0�H�f+0`4����5ag�b;�������O��%35��c'�xi��2�Uq��^4���8�?��
חؾ(p���=��ul6��
j�`�B
��-��M�o�k;Z�dYa���
��:tw�.��5�Q��u�v
v�}BWrҞ��t��Ӭ�F
�.3b���%��L�n/p߇��BF)��
2ka՜�d�� 
����0��c�?v�NW�
X�@���>���w]�
�O�sa�y5 �
6���
URx�;���օYe�叁U!2��tu��u���i	~
��/�mk�⿸$WrU됆�����~��Y��Fo�w�)Z<��3�6
��sa�?=x'�Ң�j
+�>:0`U��5O��7��:�mhQg�i���{�|��=�ρ��
�f�u0_YR֩�t��J�V���E�ݓ�.�����@Ղ^ũ�L�9�q!yq�s7%�B�
+�Ի\��E/���f
I}�t3R���!�<�ʻ�c�L��A�F��g+���}4���� CP�z�z��혢�lW
x-;K,I=ڡ���!�l,"��W0hO%� Mͪo�z�7P90e�_�nോƬ�<���E�Y��}��4`�-�8���.Ѵ����_��E�F��u�²��`%v��=��w>q �ֱq��=���NU���Qs�p�~����)�ձ��&ƂL=���C�P$�>�T�q�����
�.�PS��jl��d��o?�yW2cc�r��l/`!ϙ��=G�+�T5�>؂���TO�-�h�Y��^"�O��8�
�?`��6�ձ�Y��-a��quI��=W�†=�k  ���:���g�BkF�vf}����?C�;|�N�N������� �.���Q�t<�z)u�V�J{1�u��e-$�cD/d��Y�����gnRY1rb
��s���`��
��bC>�e>�Ƹ�=��οN92�
��
+��Et%,�ԑIf�;2���J99g|��4�aXc���%��O}�K+�0������}�`wiK����I7�����
/�Qk�2;�V���Q�F8��7�OO�`��M��ĀQ?�LI�/;:��9 �`�,{f�� ){f��F�o�o��U��t$���3#���$�-,���t�k� �������B�����g����3_�{�s�#g�d��1h�S��J1�Çτ*ؾ~������C���M����B:.���q���M̫�9W�
�?Q���:�i�Z���O(��<X��=�������x�s�p��7NeG����S��KN����m�f�唈���X�����w��͈�l��B�: ��ס�_>=�i ػx��0ŏ�%��C~l8�,-1x���G���*ᰳ�����N�W��K��D�؋�Q�j�^��
��"o��hS4F��/
��A��&��<�g�ޔ�����D"���
+L�#�#�;�;�J�/7�`ܘ��2�|:L?wWF{�!Nv��K�Q�F�~����W
+��L
+���9��=a�;��V�'��T�j~;
)���@��-���
+Q�E�Z`�*�Հ�d��.	�����ftg�5�iv�	�R��]���5��]��f�s�uMr�)�פ����4;�r���������\�\�������_R#������%.I�B�Kjg\��f��c8��.
�YK6{��H��ӾYo��f��5��U{l��p��=��}ה�UEh�t�;Y;�Nv�;�a�Bvj��m:%��ADa���V�x��
b��6ь�>x��`(?y���
™(7��m��΄ۅ���ї�����L���SZ~
��DA
+�
+�H��xƵ��
�:��K:g)t���.2�{Z�X�����a�2�>\<��ljN$��	��Sr�$8M5
�+
^�OEaF<�-O5
��Cy# � �ʁR���2���x>���Q/ ���a�2��`�X1�pu'�'� |Cb8�"��PZV`@���� o��G��E�E�[繽�-
R
gn�eCD�
�0}P�)F��U���wC�aA�B�͹o���[ٴGt"
Q�>#����4�)��p`6#��|*La913Y�?7o�)��#�"�C�1;HI��/��]4t��|f�2)G��AaO�c�՛ 7����������7t�6��0�

�ۄ��1��I�����F
 u�ޕ=�<�fFw(0�a��t�p���_�l��<W�F����1ނ�b���hn�DU�w�1�?�}0I��)�;�E�����$�ㅫY�� ����1݈����>;[��	�%E�su�W��u?�	RQ��Ҝ\A�
+�C���!Y���dv'tr�]:܋{�rؤ7���@(+0�Bh�ٯ0��/7o�
u�hFendstream
 endobj
-1149 0 obj <<
+1144 0 obj <<
 /Type /Page
-/Contents 1150 0 R
-/Resources 1148 0 R
+/Contents 1145 0 R
+/Resources 1143 0 R
 /MediaBox [0 0 612 792]
-/Parent 1109 0 R
-/Annots [ 1153 0 R 1156 0 R 1158 0 R 1160 0 R 1162 0 R 1164 0 R 1166 0 R 1168 0 R 1173 0 R 1175 0 R 1177 0 R ]
+/Parent 1104 0 R
+/Annots [ 1148 0 R 1151 0 R 1153 0 R 1155 0 R 1157 0 R 1159 0 R 1161 0 R 1163 0 R 1168 0 R 1170 0 R 1172 0 R ]
 >> endobj
-1153 0 obj <<
+1148 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [486.611 704.06 509.414 718.007]
+/Rect [486.651 704.06 509.421 717.894]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.8) >>
 >> endobj
-1156 0 obj <<
+1151 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [338.123 624.758 366.779 638.706]
+/Rect [340.405 624.758 363.175 638.706]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.14) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
-1158 0 obj <<
+1153 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [457.486 591.35 486.142 605.298]
+/Rect [457.548 591.35 486.164 605.184]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.32) >>
+/A << /S /GoTo /D (section.12.25) >>
 >> endobj
-1160 0 obj <<
+1155 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [417.35 529.051 446.006 542.998]
+/Rect [420.707 529.051 443.478 542.885]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.15) >>
+/A << /S /GoTo /D (section.12.7) >>
 >> endobj
-1162 0 obj <<
+1157 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [343.752 481.197 372.408 495.145]
+/Rect [343.717 481.197 372.333 495.145]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.30) >>
+/A << /S /GoTo /D (section.12.23) >>
 >> endobj
-1164 0 obj <<
+1159 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [417.46 433.343 446.116 447.291]
+/Rect [417.446 433.343 446.063 447.177]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.31) >>
+/A << /S /GoTo /D (section.12.24) >>
 >> endobj
-1166 0 obj <<
+1161 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [408.981 385.49 437.637 399.437]
+/Rect [409.016 385.49 437.632 399.324]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.22) >>
+/A << /S /GoTo /D (section.12.15) >>
 >> endobj
-1168 0 obj <<
+1163 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [385.786 323.19 408.589 337.138]
+/Rect [385.591 323.19 408.361 337.138]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.2) >>
 >> endobj
-1173 0 obj <<
+1168 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [386.11 289.783 408.913 303.73]
+/Rect [385.902 289.783 408.672 303.73]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.3) >>
 >> endobj
-1175 0 obj <<
+1170 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [476.12 256.375 504.777 270.322]
+/Rect [457.682 256.375 480.453 270.209]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.12) >>
+/A << /S /GoTo /D (section.12.4) >>
 >> endobj
-1177 0 obj <<
+1172 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [450.42 208.521 479.076 222.469]
+/Rect [448.897 208.521 471.667 222.355]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.13) >>
+/A << /S /GoTo /D (section.12.5) >>
 >> endobj
-1151 0 obj <<
-/D [1149 0 R /XYZ 72 720 null]
+1146 0 obj <<
+/D [1144 0 R /XYZ 72 720 null]
 >> endobj
-1152 0 obj <<
-/D [1149 0 R /XYZ 72 720 null]
+1147 0 obj <<
+/D [1144 0 R /XYZ 72 720 null]
 >> endobj
-1154 0 obj <<
-/D [1149 0 R /XYZ 72 669.556 null]
+1149 0 obj <<
+/D [1144 0 R /XYZ 72 669.562 null]
 >> endobj
-1155 0 obj <<
-/D [1149 0 R /XYZ 72 642.458 null]
+1150 0 obj <<
+/D [1144 0 R /XYZ 72 642.458 null]
 >> endobj
-1157 0 obj <<
-/D [1149 0 R /XYZ 72 609.05 null]
+1152 0 obj <<
+/D [1144 0 R /XYZ 72 609.05 null]
 >> endobj
-1159 0 obj <<
-/D [1149 0 R /XYZ 72 546.751 null]
+1154 0 obj <<
+/D [1144 0 R /XYZ 72 546.751 null]
 >> endobj
-1161 0 obj <<
-/D [1149 0 R /XYZ 72 499.561 null]
+1156 0 obj <<
+/D [1144 0 R /XYZ 72 499.567 null]
 >> endobj
-1163 0 obj <<
-/D [1149 0 R /XYZ 72 454.032 null]
+1158 0 obj <<
+/D [1144 0 R /XYZ 72 454.032 null]
 >> endobj
-1165 0 obj <<
-/D [1149 0 R /XYZ 72 403.854 null]
+1160 0 obj <<
+/D [1144 0 R /XYZ 72 403.86 null]
 >> endobj
-1167 0 obj <<
-/D [1149 0 R /XYZ 72 341.555 null]
+1162 0 obj <<
+/D [1144 0 R /XYZ 72 341.56 null]
 >> endobj
-1172 0 obj <<
-/D [1149 0 R /XYZ 72 307.483 null]
+1167 0 obj <<
+/D [1144 0 R /XYZ 72 307.483 null]
 >> endobj
-1174 0 obj <<
-/D [1149 0 R /XYZ 72 274.075 null]
+1169 0 obj <<
+/D [1144 0 R /XYZ 72 274.075 null]
 >> endobj
-1176 0 obj <<
-/D [1149 0 R /XYZ 72 226.221 null]
+1171 0 obj <<
+/D [1144 0 R /XYZ 72 226.221 null]
 >> endobj
-1178 0 obj <<
-/D [1149 0 R /XYZ 72 175.877 null]
+1173 0 obj <<
+/D [1144 0 R /XYZ 72 175.877 null]
 >> endobj
-1148 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F76 747 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R >>
+1143 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F142 743 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1181 0 obj <<
-/Length 2755      
+1176 0 obj <<
+/Length 2624      
 /Filter /FlateDecode
 >>
 stream
-x��ZK���ϯh�%20֊%R	��3@X`y ��l��ڵ��$�v�ק^�([����e/6M��G}U�U���}�I�wJ�E���?ܩ$�ub�l���@W���$Kʍ�o����_��d�`�Nb��]Bc��`�?���������d��7[cmt�X��pd��:�ed�o2UM�٪�<n�i^�RYk
c�_Y�:h�����Vۨ�q��t���񇋾��cӵ�D��u�3h�
�`���}�C�L=�<<��F^a���G�2�����UlR

�ӆ���&tm�n4
-ۦ�f>ps$�:��m���3��*���ɲ��\mw�eV�w$]$��5�d�u�Ve�A�+�vL�f�7�3�N�g�p�\�Q��h;adw
 << �����
��eq��!�S����!	"ѡ��D����5l$�2�L�Î|J��@+G�B%�5 N��q�2FihJ'�`��j�P��>}Ґk�భ�%���-�2)f�q

�XFO
u�-б 
�mF�jF��J�n)��א�q¥j�맷]��\g~���m���[����
|�������B���@�
Aʗz 
ْ��D/��&��HQ�`m�7�m6����FC��"v�t�q�7i�95G����Jaݼ((��d�E�MS�(�
X6��=� �CIu?
p#�w$Ǧ�é<�CyzB|`�i�����3a���W}�
�gy�z��'Y��{6��3:�� X`=�u��y�{!����`zx���~��{݉Uorb�]�*ɍ��j
�6��N_j�n�S�h�|��	�5���.�Nw_^ �
-j��m���
�l� �2<U"�zf�<
��פ�9��-t9����z�(j�5V���j�.|��
��Y��v����f\Ȝ��t,ipY/��2��Ib
,f��T��S��o"Qp�Z^a;��[����,W0��S4�n��Q�-v
-��^�%��=*/W�z@ߵM|��O�?r'�˱>8�=S&r
8J�
o��o��Qѧ�#I��[u]?�;�ŵɣ��9��06���,�%*��玲��Mu.��c��S4�}-�O������d���7��=�ɱ�dz�����
�PS1�M+x���H�����<����ŗO��/�6_Δ��' ' �Ԑ�m�%���y�F��Hg��e���'�?�L��3�XH�a. at 2
S]�x��,\az���Ah<�H <��1������
��0��o�90�8��!���0+�=+2
.�:;��Y�ұãM\�
���w�K��$�U�]�K����0��J�W�T2A6�RV_�L}e>��(��ì�A�"[rE���4�,|�VD
1B%1��2B�/`��Du�$
��0
N�wl~���c�Ȉs�Y+�a�
W��i����-��
�5s�kl	13:�����1)�b��3�2�5�2�,��Ȩ�W�
:v4���p��Q+4
�=
��q��^�_�A��G"��x�
u�/F�?S|i7)^ኻTq��`kL��@�������vKk��rl|��W�~��;�j;/����Dd�䌰�
-��S�.��/
-��I0BO���j���p|"N�"5�ח�ȧ�n�
��%#>6エU����Ub�
 Y�0�
�R*0*�
!�RZF~�5 �]���
�Vs�<���9
-�)���I^>�(�Q�p
 ��C�
�֔�R��H��D
-g�3$�����T
��'5�nK�yh�ķ�S*b
�8���z���3�z
��(_f��N1t�-
�߮x
<$�
ri��E���%y������"��++�&�(��P�sn�j��X<�{SlC^�Q�w5�/��0���M�l�,Ng��-(e�״�G\�*X+2�0y��x@��l\X|�Cވ�'�JiH�CR
�S�:u7��qe
��)��j�|����h�������9�~���s��fΨ.�(��š_H/
��(�A2b�
-�o#w
-�
�[���
��W�_��r��	���-�|#WTN���(_GSE
����D�1�4͘���
-�S?tmi.��x��ܖ'�Qj����r�
�xr7���ȆO��Q�
:ÚNtnX���(�J�M�����Dj�bO�^[�ĘS\)�2��TԼ���_Q���4q�]Ӿ5�U�� ���Z��
���%���4e�`{�Y����|*�p�U��� �K

r`p>��0в!��ц�8�d���Z�P��>j�	��$,��T;���/l°���—�ql�g�\�
r�r0lߝ'fA��\J��E�
	b�o!1�Wf�@�*]�3a��A��vӭC8,ԫn]��5��u�)�׻u��n��u�����n�O�o����|�q-0(S�7{->���汶LCA��僒R:�3刔i��'���7]�by�[��u˲D��Z�օɑ�T�uX���l"Nw�9�h��im�[Ͻ%��~,������9pi�@u�"������;f�k�q������,�ƻ^�vo�J=�N����pYU�8���}

;@�|ɠ��o[gn��8] I��E�yaT���
-���fw>
����%%�I���uf%��
��
����L�%acʈ0��93���8�ܒSgR'�����Gex�x��\�"z9z��W+׮��_��dۼC,V��f�·3A{�
�'�� T<f*Y�W����猴YlM�D��Od%��i��U�5�!r!��}�*�&�y�Ė
�!̿�x���'�%endstream
+x��ZK����W
�	Xq�lv�L�

���@y �A#�dm4�`Zrv��SEV��~I�}�=�f�Q|}U�Uq�?���rR
+WU��Y�B��)�(4Tm���gQK�X��r���?~�A�:�
+al�P���@�3����
~�]��M�ͩ������^��U�Ǐй���Jz��(�"�>�.+��
N��rU�8��U����a32�q���~y+U/�8
+Ў7�6
|��?c��B[��BG	E??,[>
�ھx���૥F1m�����X�����R߄g��~#+YKQ)	-���
6� �H�.,$����<�RU�r��:�>��
{<�M�¿�pl�
�?-�ʯ�����N
��?�]��u���X�T[*���o��$ٷ�M�y��+a���
VJ
+]�I9��IA�4b?(��
��G4��e�;
����U��p� /���t�����G~�����
�J�q|c�>�]�7�N�E&(��I|��pn��
�=��a>�� �<
/�v��	�p��C�f����0+��}�������SB��#���A����oM{X�e,�Q��Y0KP���I����Ak�@

)h���-�z=	��@wp�;����E�+�ř
�����=��sgM�W7{jo�65[��A�Do�0�ȿ=T�{E�#���m�(ZM��z�Ad��w^,n��˜OQ����5��ְ�->�c*��h_��kC���ל�5���ХӦ���o��w�
�.�Kd�$�̗��r��p;��O"��vB�L)L���K©r�_pȬ_���A��

����P�3�{k��
��u7�-]㺅
}�
+z��*�W3
�j@�^UVX�+Tn��*�9��3l��b����y��2C�+M�ʎ�ŀ��.�Mƥ?���KbTNIO���]k$��B�N����֟�f��&�\�.��O�c�N��⅓
�e-�N������q]��&|�Θ�7X!�|Su�f�[.<�Zl��!�*0:�W��9Yh�@WUU.>,!�C�ӦSPF��OX��n���M�J�7g2�G��c*�k�䩠xH��+ [� �mܯ�g�<̞μet�e�P��>L�Mw7�"$s1�'�M?^{�y��s=�f���6�R�C�_��H�
1S��6S��'D}�����!j�X������t~>���
+Qe���3AjU���	>�
�$��Ceef�T3�hLۭڙ�{��teq;j�:z�s�0
�r*2�Ϩ����d����w��^�L0b�e,\�rC���o�='�r8�u��)5��h�֢P�tlj�
�&���G��'�c��&݀r�S$5�Hj�H2Q$E�Q�™ܛLZ2-�b��O�3�9te����Q�v��ݏ~>�J-խ�E�*�^����ŌD/C
�2�H#�
�z2��pI(�ɂf�
V&���N���G/Xq#z�y�dr���ʮ�$�y̅2#찺�
���]O��l��a���C�.o�A�uJq�)���K-^�
��p�d�|��7�� ش�I���C؛sߕ(?�K��/&�(�C�<����4�w2�����yfAI�ڋ����
H^�)�B�Sް�p�~��.=�WX]��گG�^
+�ҏ�{O^��
��������mϧ1p+(陬S��l1�ur��X&Y�� ��Jᓂ�Нiʘ A b�	W�A�j|S ن�> *��gs%,V2���Q�o�)&��3���#~��-��]�
�]�Ƭ�E$4d=�����P~h_���2S>��;�/��h�{��D�h��&�|L �..
+n&�AV
r��
�	��r.(�m&�LJ�mЭ2UAeEU˘_R�h�#�f��[D�Y|�5nD
�
Vտ�v�
���Zka�J���]$�J���1w}~
��(^���8ad52M���4]���-B�X���G��#�i���|i�1� ��#��
&YK[�x��#���<�����:�]H�`�Vz�(k=K`[�p!]-T/�5_���?�����t7�9�N%���s��w�����;��|�Z�$R`�?z�"����|��
+/�'R�}�u�7M&�y�f%ۼ��د/�O>S/�8�QAGFț�77A����8ʎ�Y�:O�z|-y_kBs/uÙ2��X�ܽ�Nu˗+k�R�ɗb���+�rU��h�q`���,�ybv;e�ؗ)
+ȋt
�� ������^����ť1Z�����t����lj�;���r'��p��#
+���q����sPl����t�d��9�;�5����������2
��`W�m����1!�m��gm��I���1��x
sr n��2G��,ĉ� +&�b�?RH�2U$�A*��0�!�E+�dj��C^ou���yc?3Z����k�
3�J��˱[�"��U���δm����
��='����6�?r$wF�q�4�:�w?�5a���.-�ND�l�H����K!਺�Ȅ�
\�)|Q�m�f*��4Z��\|�)~O�*;ٺ�ϛ<�`��D��
��)��]�K^E������/
�H(�69r���

�6T﮹R`���a�2��x�8������n9=+�U/�ߤ������
�23����,�L��Y0ſ[�V������2�W�endstream
 endobj
-1180 0 obj <<
+1175 0 obj <<
 /Type /Page
-/Contents 1181 0 R
-/Resources 1179 0 R
+/Contents 1176 0 R
+/Resources 1174 0 R
 /MediaBox [0 0 612 792]
-/Parent 1109 0 R
-/Annots [ 1184 0 R 1186 0 R 1188 0 R 1190 0 R 1193 0 R 1195 0 R 1198 0 R 1200 0 R 1202 0 R ]
+/Parent 1104 0 R
+/Annots [ 1179 0 R 1181 0 R 1183 0 R 1185 0 R 1188 0 R 1190 0 R 1193 0 R 1195 0 R 1197 0 R ]
 >> endobj
-1184 0 obj <<
+1179 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [387.443 704.06 416.099 718.007]
+/Rect [387.522 704.06 416.138 717.894]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.25) >>
+/A << /S /GoTo /D (section.12.18) >>
 >> endobj
-1186 0 obj <<
+1181 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [406.447 670.187 435.103 684.134]
+/Rect [406.166 670.187 434.782 684.021]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.26) >>
+/A << /S /GoTo /D (section.12.19) >>
 >> endobj
-1188 0 obj <<
+1183 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [445.118 636.314 473.774 650.262]
+/Rect [445.132 636.314 473.749 650.148]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.27) >>
+/A << /S /GoTo /D (section.12.20) >>
 >> endobj
-1190 0 obj <<
+1185 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [446.992 587.995 475.649 601.943]
+/Rect [451.7 587.995 474.47 601.829]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.10) >>
+/A << /S /GoTo /D (section.12.2) >>
 >> endobj
-1193 0 obj <<
+1188 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [413.667 495.841 442.323 509.788]
+/Rect [413.753 495.841 442.369 509.675]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.18) >>
+/A << /S /GoTo /D (section.12.10) >>
 >> endobj
-1195 0 obj <<
+1190 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [495.739 447.522 524.395 461.469]
+/Rect [495.767 447.522 524.383 461.356]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.19) >>
+/A << /S /GoTo /D (section.12.11) >>
 >> endobj
-1198 0 obj <<
+1193 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [353.342 340.922 381.998 354.869]
+/Rect [353.38 340.922 381.996 354.756]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.28) >>
+/A << /S /GoTo /D (section.12.21) >>
 >> endobj
-1200 0 obj <<
+1195 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [442.042 278.157 470.698 292.105]
+/Rect [442.063 278.157 470.68 291.991]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.29) >>
+/A << /S /GoTo /D (section.12.22) >>
 >> endobj
-1202 0 obj <<
+1197 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [396.603 229.838 425.259 243.786]
+/Rect [396.619 229.838 425.235 243.672]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.20) >>
+/A << /S /GoTo /D (section.12.13) >>
+>> endobj
+1177 0 obj <<
+/D [1175 0 R /XYZ 72 720 null]
+>> endobj
+1178 0 obj <<
+/D [1175 0 R /XYZ 72 720 null]
+>> endobj
+1180 0 obj <<
+/D [1175 0 R /XYZ 72 688.789 null]
 >> endobj
 1182 0 obj <<
-/D [1180 0 R /XYZ 72 720 null]
+/D [1175 0 R /XYZ 72 654.916 null]
 >> endobj
-1183 0 obj <<
-/D [1180 0 R /XYZ 72 720 null]
+1184 0 obj <<
+/D [1175 0 R /XYZ 72 606.597 null]
 >> endobj
-1185 0 obj <<
-/D [1180 0 R /XYZ 72 688.784 null]
+1186 0 obj <<
+/D [1175 0 R /XYZ 72 570.234 null]
 >> endobj
 1187 0 obj <<
-/D [1180 0 R /XYZ 72 654.911 null]
+/D [1175 0 R /XYZ 72 516.762 null]
 >> endobj
 1189 0 obj <<
-/D [1180 0 R /XYZ 72 606.592 null]
+/D [1175 0 R /XYZ 72 466.124 null]
 >> endobj
 1191 0 obj <<
-/D [1180 0 R /XYZ 72 570.228 null]
+/D [1175 0 R /XYZ 72 400.869 null]
 >> endobj
 1192 0 obj <<
-/D [1180 0 R /XYZ 72 516.762 null]
+/D [1175 0 R /XYZ 72 359.524 null]
 >> endobj
 1194 0 obj <<
-/D [1180 0 R /XYZ 72 466.119 null]
+/D [1175 0 R /XYZ 72 296.09 null]
 >> endobj
 1196 0 obj <<
-/D [1180 0 R /XYZ 72 400.863 null]
->> endobj
-1197 0 obj <<
-/D [1180 0 R /XYZ 72 359.518 null]
->> endobj
-1199 0 obj <<
-/D [1180 0 R /XYZ 72 296.09 null]
->> endobj
-1201 0 obj <<
-/D [1180 0 R /XYZ 72 248.435 null]
+/D [1175 0 R /XYZ 72 248.44 null]
 >> endobj
-1127 0 obj <<
-/D [1180 0 R /XYZ 72 196.961 null]
+1122 0 obj <<
+/D [1175 0 R /XYZ 72 196.961 null]
 >> endobj
-1179 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F76 747 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R >>
+1174 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F142 743 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1205 0 obj <<
-/Length 3087      
-/Filter /FlateDecode
->>
-stream
-xڝYYo��~�����^��x�^l�� ��@�

�<
��_����
e9y�a�ͮ��N��}��[
�(�axs{�QA�� ����,��y�0�
-���߷��m
�
с�(u��{`��i��̼��?��0��p���nG�K�z�m�o�X�̚&��R�F���pԱW�5�G��>�%/~)��Z^(8���W�`D<u�����v�j�>
t�x��	�x���^VOe�[d
�
��|{��Ɗ�&XwӀǾ9*���pa}k#:pQ�{h��([|�x8��+zآ���r`�xFcKwK�8M5���
wm��~�s��C}�;~*��$v�ޣ&|>�V���5�#mg �=�f������À	|��
�(���ȏ"g��
�k�v��zg�Hbv�`�^���_Hr��e�Ұ�c�

���d�~^��P��M�,�-َ`*��N�85��m+�%�wA��e�05dlc��#��s���K�|}�Z�4�*y(��a�f$2���3zٱjJN
Z��!�^'�kJ~f�#��

��~Dp<z{���oz�ŝ7.����v�
�����ʅ��� �L&�	�+�����B��,HxPT*�u�q���1 [...]
-Б��wj?M�~_V��<t�5-�h�7�I�7IGL���#���@B��ߐ}O
�T
�.�}�t�
���D�S�
jUF��\
-���3���H�N��H�x��y�6R��	��j�z* >�
������M
/�<���$��h��)G�2�']�'	AΔevL���
6B{?�O;�iH�3�h���S�O;���m*�
-J�|#��;|d	P�_��Nb\���2(l&fy�v���H�H�R@��M��pg�?V�OR�G���괯Ec�Fjk���=�c?H�Jjdd�
Yj�"��?�,��r���@��@"���O�\,�Jț��[
nѳHMi�D���.w�Mb�t�RRh��*�%>m��w�
)!4�X;���D�/����A���N��O(�T���B��L��w焅���䟌B�P���ΩT
�i}ñ
�s�3̅t>ҽI�g
-�/9��S��F{�l$� y��C��{[}�p�sb��j.ן;1��3���!3���/�{P9�T�U+�h;g3�{�DY
-�53S�$
ג�(���*��TmR����CB�-y-2ֻ}��
���	���vnv
�0��ݬ��"�6���i܄H���!�k��8���
-E��vĜ��
Jm�QL}FI�u�.�t�� �N�
-t��,� �n � �y�N0�A�b�p���KQ���k�M�vT۴UNP �J��1/
-��j<�.	���
-�o��E=
�*�F�}��*r]Q?K)E&>�������X?,�V�b��� ;E2�~.{�:��
�
��"��gd@מ
-W.��\}^���0��0p���/�w��]_T5S��(y��X�.
'.���A�zf��{fmy�U����h�t�;����F"�$�
A���ǖ����������#˵�ԵS��{�\��5|kćT�V��߸��hH�]7���N�Wdw��8� �
-��N\������o���ai�p�`iM:2�}ٖ8}��(ሚ|Xo eV�;�M�g�5~2��M�ę��h����\b�,p�@����@��N�4T�^�	c?M�U at Eۃ�0�ha!MBCdZ�Ĥ�ɨ��7l��(���V��d�Q�\&�s
���&v��td��EC���
��z(�]���w1;�\��d5A���/�m��wsW	��(Ug[ُ O��	�e$��6�� ��� 
-DF`�MѸ8�ew
�K���7��qAd�b|�!��* rL��t՞(T@ ��=�i���+�Qq0���DBb�M�I�`
xy���ly��˺�۳�Tбb�|���[&��:$�!צ��E�㵹(��8
-�P��GW�I�UN�X��zR)8���x��|������Я͇C>W��6g�3��*�|�\崒�-�L�
��8;��6ƪ�AE��!"6��@����M&���˳S�}����$
_$��z
��ݶay�
�q��m���}��4Kb�!K�(^j�@�w'x�<zS�D�z%H��o �f/���?��B���2�Jg�_�=�ĕ����r}x��RT
�74K�\��
U�6/!���Fً� 
ۨ4l��T�����綡3��u�J�i,�����gPm�{��`�{�P!�F/��\�f�vJ\��e��:�LqU������<��}V�b+������4�d������{�"?U�1��Rl�1�V�G�E�w;���/H���nX����{0T~b¯�P�w?pI
�n1���f���mf$��T�-����17�S��9�����L�M�S�5�ػD$~n���T}�{��#�M| �
>�v��Jd�]�r�0k�\�\$JZ�$a9_���{{*��%��|�w�˛v�,�'������Y�h%��o}x�
p�z������
	�q��
_�e~ _芩_
u�#�� r�"�%Ƙ�@!�S
���9��j�?O��xͳ鑾�d��l�T ���m�OM�(���t
Uec������C��Qx��
*6�Li��Y$����H{�O�y��he&�dn���S���Vk����w,|�zt��Z�淪�@��ܽ��6kM�
�:`NR�h_�g�z9�Lg���7����
3hO�j`?o��p_������2��9c
-n�D����f�^3�r��#���@$;ͥ���.�`��-R6�%�����%K}��o�Pb;�=�J)��i()����{.q���̣]\<VÙ��kV�a�Ϗ���Ji
-�[
\���� npٶ��wC&�,��0�v� 
� 	��va�z���N�hg\5�遲cy����(<5Y+�H(;�
����鮮��W0I<=xj���ɍnuϛ4O��z�o�����9�а#k�
O�������8��\�A����n_�jޭ�endstream
+1200 0 obj <<
+/Length 3017      
+/Filter /FlateDecode
+>>
+stream
+xڭZ�o��~�q_"�
���KsAZh���kY�nnW�ֹs����M������6E
��p�7��ͫ�����1�*uus�hM�W
ՄJ��W��*zͪ5��ɮ�}�ׯ�1^'�8%�VW�п�7`�~�~mGf�IA(�n��WR��fĽ[F�Zp��'��ץ9%��a�p������
κ�^	h�-�}��M�|ם���гj��
�
~~�
 ި�
�����,�
#����r�5.ɪg��~�V�{�pEd鍝���� ?�<<9v���{�Z1�%4$��6�4{�\��ͳ��p�>�ٱ}�x�G���q��8?���On�ݔ!9�����|g_91�
��3썇�����-J��3b�ؐ�7�ޞSC3(ja���{\�>j�UԾ��累&�j
u���Z��0��i��&�9��/���*SC|.�!�Hհ	j(�
j�T^��
�*�&"dz���T��o�ne�g��HԦo
����^5S�����|���
UHH�q���:a��X�i:���[$��@
��U�c\{�Y$ ��U�5��Y����3X�w�2����r��uS
v��ҡ"p�fD�1Ga_��
���ߜ�G���(6�8&��1�!/1Od��VU���*�i�� [...]
+̅ԐXP�dj��3B�p0��M����Z�Fz!��{�����9�֤
��1
Y����)*FX-��B�u�n�oN�;��KRh
4 at h�C��0�8
$f
��6��F��E�{��1%����
��㷬��!��!
�N�xÇe�E�
a����
d
��
�
��/Jt�a�n�i*f�3��鱸�m�J8�<C���Osq��u�<������Yt��}A&��!��V��F-�h�E-
i�G�����p0
s3Ղ�˹=������ӉqK�YpH�̀���%��yƊ)N�n3��2$��b \�n$�F7C�5{2�jމ6�Xx,�$��b�/�V���D؃Oqr�4
=N�T�|��)�'�A��"���b���6'Od��	�%'�i�
�N���ƪ��ߧ
�q�_��6O}��j*����`�l�
s0jͿ�o�
��� Gڐ���!����v��|��/(;�
Aoo'(�5-K�6[�,֒M���H<͚G��_�/g�N:�eP~�A��a��(�0Ϯ���\q�.�������bo'9ᄟ�`�á
�NĆ]�j����>$t�dmˏuaA��� �7����
+j�2����/ b
�9�{�\�2��wfF�},ѺB�	@���I�)��Hj5!c�i[,���n�x;	����]?��v=��h��~�����-D���p�����=�۱s(Mh(�l�M�8�
=)W{?5��['R��*	^�
�
�m�
$5Qg�+�s=	!�+�
X�M�٣��F5�z�J�u!C�Q��1��S��U����V݇e���
�
�T���zR}��A�����P'�ʿ\��*��]���W��rZ�MhJ�7���o���1id��ר½��~����@�+D�l4(��-�m��S�}Kw(-�WA'�C�A����<�ql<dY,
`L��)���`�;���%�I�K�D֝T�(w�0��}T�}�=$���;%�����3}��$5��,|�:�Ug�I�W��$��-��l;�q�� B�7KX��{��D�$� 7Z�Y�p���i��bY�<����1u��X�0녚.L��)�"J����
��
��]��2LKT�����	ز4<އ���:�5�_�'S��sndHʦ�b�p�s�6hXA�4�ž�ǧ� �RZ}e�ݶ�{
��-^54%c��Z�%���Z��O����U�̯�eR���i�l��p^���Z�,X���r0�K{��b��iLI"t}Q�(gQՐ��b������>+�
�;@��` ��N���5���C�
Rֿ��*U��.%��t_^E�^q�W|�r�&��z��p-�� [...]
��o�
��:�!
+��x���$�A��:�6	C�Yu0FT9	���H����b;{�S��ԄSqUX}U��o�B�C�i�?�0ƹ
>
^Ƙ5
#���!��
����X�&�ff�2|w��z�?�ғ�bh���Gw,02�{:&���!) �t�g�W12�1Uo���/�r��T���[���C�bds.�R�K	�|
�I��J
+�mh�
+{���MX�?:&�����i
Kȳ�Ye�K�8�k�B�u�bm�@�ݩ�
����Rٕ���*�L���$���
�A�M�:���KW�ol������|H��Y�mߛ���h�����P%��|�y-'M
+T�
�~?���V��Pr�����,�:���͍��'���-�K	�l�ڹZ��J���h~�tgO
�u�-��3���UKA��CoԺ�J?�[I���g�l�Ԛ��AN-����ltr��|ٙp�����]����
+r�U�OC�r�
��p�y�D���W�9�ߔ��l�
�.��C��4�B�1)�d�N'�m���O��d��L3I�JV���}�!�g�q����6�N2������d�

or�� ����u�&�|��ͫ�D!b�endstream
 endobj
-1204 0 obj <<
+1199 0 obj <<
 /Type /Page
-/Contents 1205 0 R
-/Resources 1203 0 R
+/Contents 1200 0 R
+/Resources 1198 0 R
 /MediaBox [0 0 612 792]
-/Parent 1109 0 R
-/Annots [ 1208 0 R 1210 0 R 1212 0 R 1214 0 R 1222 0 R 1224 0 R 1226 0 R 1227 0 R ]
+/Parent 1104 0 R
+/Annots [ 1203 0 R 1205 0 R 1207 0 R 1209 0 R 1217 0 R 1219 0 R 1221 0 R 1222 0 R ]
 >> endobj
-1208 0 obj <<
+1203 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [340.698 704.06 369.354 718.007]
+/Rect [344.702 704.06 367.472 717.894]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.11) >>
+/A << /S /GoTo /D (section.12.3) >>
 >> endobj
-1210 0 obj <<
+1205 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [359.202 671.99 382.006 685.938]
+/Rect [359.311 671.987 382.082 685.821]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.7) >>
 >> endobj
-1212 0 obj <<
+1207 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [357.025 611.029 385.681 624.977]
+/Rect [357.127 611.022 385.743 624.856]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.35) >>
+/A << /S /GoTo /D (section.12.28) >>
 >> endobj
-1214 0 obj <<
+1209 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [379.3 521.176 407.956 535.124]
+/Rect [383.475 521.165 406.245 534.999]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.16) >>
+/A << /S /GoTo /D (section.12.8) >>
 >> endobj
-1222 0 obj <<
+1217 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [382.7 314.004 405.503 327.951]
+/Rect [382.751 313.975 405.521 327.809]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.5) >>
 >> endobj
-1224 0 obj <<
+1219 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [451.947 281.934 474.75 295.882]
+/Rect [451.996 281.902 474.766 295.736]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.4) >>
 >> endobj
-1226 0 obj <<
+1221 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [329.911 249.865 352.715 263.812]
+/Rect [329.745 249.829 352.515 263.663]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.6) >>
 >> endobj
-1227 0 obj <<
+1222 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [94.367 126.795 151.543 140.742]
+/Rect [94.396 126.795 151.535 140.629]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/data.shtml#repl)>>
 >> endobj
-1206 0 obj <<
-/D [1204 0 R /XYZ 72 720 null]
+1201 0 obj <<
+/D [1199 0 R /XYZ 72 720 null]
 >> endobj
-1207 0 obj <<
-/D [1204 0 R /XYZ 72 720 null]
+1202 0 obj <<
+/D [1199 0 R /XYZ 72 720 null]
 >> endobj
-1209 0 obj <<
-/D [1204 0 R /XYZ 72 689.021 null]
+1204 0 obj <<
+/D [1199 0 R /XYZ 72 689.019 null]
 >> endobj
-1211 0 obj <<
-/D [1204 0 R /XYZ 72 628.724 null]
+1206 0 obj <<
+/D [1199 0 R /XYZ 72 628.724 null]
 >> endobj
-1213 0 obj <<
-/D [1204 0 R /XYZ 72 538.871 null]
+1208 0 obj <<
+/D [1199 0 R /XYZ 72 538.868 null]
 >> endobj
-1215 0 obj <<
-/D [1204 0 R /XYZ 72 476.559 null]
+1210 0 obj <<
+/D [1199 0 R /XYZ 72 476.542 null]
 >> endobj
-1216 0 obj <<
-/D [1204 0 R /XYZ 72 419.582 null]
+1211 0 obj <<
+/D [1199 0 R /XYZ 72 419.563 null]
 >> endobj
-1217 0 obj <<
-/D [1204 0 R /XYZ 72 371.241 null]
+1212 0 obj <<
+/D [1199 0 R /XYZ 72 371.223 null]
 >> endobj
-1218 0 obj <<
-/D [1204 0 R /XYZ 72 331.699 null]
+1213 0 obj <<
+/D [1199 0 R /XYZ 72 331.677 null]
 >> endobj
-1223 0 obj <<
-/D [1204 0 R /XYZ 72 300.958 null]
+1218 0 obj <<
+/D [1199 0 R /XYZ 72 300.927 null]
 >> endobj
-1225 0 obj <<
-/D [1204 0 R /XYZ 72 267.56 null]
+1220 0 obj <<
+/D [1199 0 R /XYZ 72 267.531 null]
 >> endobj
 110 0 obj <<
-/D [1204 0 R /XYZ 72 219.995 null]
+/D [1199 0 R /XYZ 72 219.985 null]
 >> endobj
-1203 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F76 747 0 R /F29 672 0 R /F67 564 0 R /F86 1221 0 R /F32 668 0 R >>
+1198 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F142 743 0 R /F32 667 0 R /F114 560 0 R /F158 1216 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1230 0 obj <<
-/Length 2606      
+1225 0 obj <<
+/Length 2545      
 /Filter /FlateDecode
 >>
 stream
-xڵYY���~ׯ�R

V-ǘ� 䪒c�jS΋�)���.����~}�
\p�
z�r�FOOO_��������h�"���oo��qa�B���Z� �?z�������*2�cK���:rq�<�8��=�4^�K�ì��kw�����w&��Zeq��7kc�!��ʞi\8�1ZőR$ٟ�S�ß>_�g��\"�Vk�P����2iМZ�E�O����&E�hԕ��Zg����~B�4'aA�(V��%x~���3��_kR��Oa
�?�tS�b��'�	�}<���(���P,���*��|���-��Ap4@�(�q@�Uޡ�{~�H��|bo�`w�nz���8�_� 
\�$A���
W�I���k
�\[
����O��6�߻.oy�GV�#��o��V�������:����c)w;D��[&�c�����ee���K���^��(Gt�j��������y}E�sa�I�e��-G��4T�&�[t�
R�[U�A����|,ӠB�)��-�+�������nz$nϫ���:
~�L���=3;7�Ƕ��&�p'��מ�ϩ�(
��~���e���0,�z����AN<)�f��Ȣ��<�]�"
p"S
!t�菸_�Yp���6J�Q
h떙�l�z4f�O��e�W��/;�
-��a`2����*O<Mj�x����
�Y��`q����Ő�͂
-e������U}f
-4>4&��:���}�gW�,�S�W1A	O��wۖ��'tB9��<��
�6	
-b^w��x�|jϑ�`��?7������CyE���>X�^�\s��"%�f1ʽ��2u�KN�_���Wdq��e
�7~�/�+۪fW
�U
�F�1G���Q㝄,\����M���wt��t���q�
#Q�ۦ�Ӊ���2h�+Y�8�>$�+�����TBX��;�@��!#�xE���O��ѺL�PT�ա��K<�1��}CF
9J��2�5<�N6U��A���
<��P̕C 0�s
�%�Z R� �5��;<��_��>
6�
��-I��
6@�h_9!��o���
�
���/��#���샆�Q��q.8
���`��;�r�bG/��4
�d��u�"
�'/�����îFϒ
�gq+/���'�ŭg4���K2�ϋ� �LL)PЈ Z�9�0"f��z8�\�l׃�s��=qiE���qy
�xbc�D�P`��1��ǻy0��}�.�B
h
!�-�
y�̾�1
���~���"��	��n��a�Tu;
�
��a
��dP
P�J�-L�S��#کϼ��r�M�9���&
<
�nN&dD�$E��U��L��<��ȣT����'��Rb��!�
�S�2�9�ǒ�

-5�0��˵,˜S��$d'
U�~�?�Ί2�&
�S䳎
�N_
&�6ߋ2(*[7��p��!V��
��	�5QYf/@^�\
�I��6Y���R>���^ r���bHc#�k	�ġJ�!Т�,�D�P��(��L���EYW��}
v$¦aY#N�t�B(X��1#�p0�����;���d�G��ڀ��<�ʝ�5�ϋ8�	�w0u�|�%��v��QM{De^����+�����8U���19��llU��yiy�L1�Y�
7�Jg�E��H�c��@.�����4�]��]
,&��%��IB6�N™�T�ˀ�Ź�7\l���8����Ďft��E=+C=l`��f@�S&�[�I��I��
�Ɇ��ۅ�0��ܴ�'� 6���¼F�y��Y5ͯ���>�m�3�7��uPt<�w#��xg(Y-�]d���<�=#
�,-����i��,�6Q
z�+��E�7�ʚg���L�誘�g��}!1s��W7��E��:4PO��DK͒�*9<�M��K-���u8TKͨᔉa}#�(���^l	&@=4%嚒e�5��C��Q5'��w�	���]�"x.`U0w��:=�E�yQJ�
*$��l2�Sn<Z��@{p)�5��t�!�H�σA�Q���u�H�0��֣U��Tz)"�҉�`�HOyv}��
����k#Jca;8^���Џ!
_�l�|�t*?��%��}���URŬ� I�8Ʊ�E�	W�Up<S@�+�� �Q�i���oM�6
-�L�E%[��,x#��?�	�8�V��u]��ȉ:�G
��SI�cH�|�Ӯ�R��L��L_����)�{b�I�g��$;�5��E�	Vȝ�-�ZH�R�"tD\*��t���P�)��,��y��
�P�
�PF���!.\Lr��]GN�>�K��
�KO��*�$��õi&u� @\�+R6���;�J@!���e j�0�OBd�_{��4��e��ڳƆC��XuD� �V�.!0�	�> �#0�ݕ�CgN�q4�X^P��������囃+�v�$x���0V�A�%�����<�_��I+��f�z�W�
����H��2SpPH�
�� 
0�fR�iQ��zM
�b��I
%��nP
�ؤ��WX|+�3� �(д#|���%9�ÀxH�C�t_.���
�u%NbQmG(g"���u����)
-L�"��b+�����
��"p!��Ti��,AH�e�����W�ޗ�zendstream
+x��Z[s�~�_�I*�X�Kf6���vҗD�L�t�Z�^��lW��l~}�
$@���i�>�"q=7���z��[��L[U�j���y3�E�
+�f�����B�<����Rkc�߬��?B����e�����~+M�k�s��;
�C��ϡ��c~����?}��43�U�
�R̖�(�<Q��9�0m�h������

�ϕ,~����V��˜�����-�a����x�L�w���B Z��4����E�J��-[�(�

3$�N�Π1��-��6ڬA��?��]�
+��9�x�tغ�Q���
 ��I�$�

�S��e�ùLW2�y>���>Z��=��Җ0ѻ�,ߢ��S-`x9_-j$}Y��){�?��L0�-�������ܴ�� oI?�#��+�<∻|$��~������S��b�tI�@�
E�"��!}⬱iv]��k�p˼`����3�
SpY�e�}�$x����〼Ϧ�����*�����%���
j5�ZZ

�[hVB����:h7:l{ZOm��������W� �ˣl�'��\4I]���&��Ғ;ڜ̅���u߇�"��Q�$ 2F�F�)?D$�i��a�
���W�/q���{ܽ�
4��$ۼ�Scc���!b��K�,�y�ܹ��46���ܐ�Y]
.xBr�M�mo4��=
#�������z'����;�`R�`'�
e��1V%��+���Wwm�,9�
+���[�528 at W<��"|���H�D�%)8�����-[䑗�ދ&v)
�h�T	�E���.��U:?�.�|w�c}���YO��=��^
+$�ų
����.���y�>�m��cH8FQ}�]����@��1�$�4�t(h���{�^��/�!F4쬻ñ^D�bMlb�y���+ŕV,F}y�C��
��+�� G�4�
i��W��
����I;�����Aa�.�e
�^�+�
�����������h&�;���^�En�
�uX^d�>�zw��E)8�AV�ERv�>�\Ǖ����������
r}?�;p7�?p��� 
��B�
+����O��4M�:�T�Sx&˧ �
�ްi�	��l�͈ �|�]=��C�З�.��zuh�p����-��pCaӔ�8M$�2t�*8���
"S��C�O��1��*Xj�x`�.B��4�ߒ7.么�
f��:A�q�
s�j"� ڥqM�<+pB���
�^�p�#c'Z��ӱ���C{���R��1�;G����S`��.���u�j�ҭ6,�X���HH
ar�����jO�m V�U0��]�|.筍�k#�vgs�Y�0d�b�4
�<�@c '�F��y at 6_�ꅥ��Qu�!DZ9�q(
�1P'">
�G��2ʾ"�����k�YP;Q���'h��uMM
�y���TU]ɑ��

Y[��G[��1��~�m�
.��&�I'Y�
�X9rG2�ҢF��Nrb
9�L8%���x=�
8q��0k\�7�ƸK�
�
vk���8U�P����s���5;T�K
��u��E��It#�[gU^hX �ϥ2JxL*���J�����d#�䩒q()���u��j�����XG0�N"��#�M
^���`�lN�L:�a�:�	i�4�7���7��p�ₑ�j���r��8!���U�����&͉��E
�E7�w8����O-in���8��H�W��e�+7�o��`�7G�����q�H�2|�f����;�lٽE,�T������b�:��6�z@�W�Ӣ洔4d�V">��������c)���*a����\��ղް$���M4���s�ү��FGFt~�����^
1�.[�����2�!M�����
a�!8ΐ���9�!Bm�=b�����[0
+�*�}�Mۗ
�Q(�
��dH&]I.@�&���Q0�
&�ל��ܗ�Q�Q�/�-˗\�Y�]|��A�c/Q�x/E�P�?r��Ϸ��
.0�i��'�
�}����
DT�	��)qs:7BPX��z��	<��_���8�C���R�=��
���X8�LSP��)g
+��SC%,�B���˄�Ƨ�,8-M�M��V�39���)�G*y̥��}qT��ORMb�N�*MN_��ϻ���{[�jsw"�;
E�AL�a=H'�}X��$�]
�V:
U1�����#Bv�
+��
+1_�&pV$�O�E���T�;�a���0Tqۧ��\�B�R�c�;Y�����T8��>���㶳ї��Rur;�<�h�)�W�Ʀ7��9JQ���]�Q����a�Yq����l�����M㕮���U�>��+Uu�"�
����I���ru��E�nyִ{hC����"��f�dm�'-=�S��L����#����.
$��J���GЈ[@ۉ%
x�ަ��S)�Ӣ���T��?A�,d��5@��ԯsK5�l��L�4ȇ�)TQ�\����Z�FSr�e�
��ie�
B�-�O&���#��e��笠Ԫ6�Z�9��p�5
��>a
�2�a�
`�r��730��
+��nr��
fp�7�W�e�p�endstream
 endobj
-1229 0 obj <<
+1224 0 obj <<
 /Type /Page
-/Contents 1230 0 R
-/Resources 1228 0 R
+/Contents 1225 0 R
+/Resources 1223 0 R
 /MediaBox [0 0 612 792]
-/Parent 1232 0 R
+/Parent 1227 0 R
 >> endobj
-1231 0 obj <<
-/D [1229 0 R /XYZ 72 720 null]
+1226 0 obj <<
+/D [1224 0 R /XYZ 72 720 null]
 >> endobj
 114 0 obj <<
-/D [1229 0 R /XYZ 72 720 null]
+/D [1224 0 R /XYZ 72 720 null]
 >> endobj
 118 0 obj <<
-/D [1229 0 R /XYZ 72 392.616 null]
+/D [1224 0 R /XYZ 72 392.628 null]
 >> endobj
-1228 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+1223 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1235 0 obj <<
-/Length 1418      
+1230 0 obj <<
+/Length 1364      
 /Filter /FlateDecode
 >>
 stream
-xڝWKs�6
��Wh�=�31W�
�:m�if��6�t�{�Zt��d9�����@�Σ{�!2 | >0�o�Mi��<�n7�5�MJ�d4k>�l������4e<
1)�m���,9�����?w�e�jZh�ݝ
��NM=a�ʟ�\=�����H�b����Zh�ɑ���(������*ϫh�3�e[}���;-K��LU�~C�s�5�?aBk#�u2����ݵM.`�ƪ�Ȣ���
ir;�L횾uG��<�?-������
x=�= �5b
-
��n7
��t6��K6Qf4�ki5�k^����Fv�#�VF��ϑ�	����4�lw�?��XN��09�B�4%4`R'Bq��'� +�;�˽�dF�: ��A
V�}ެ������ɬ�(tr�U�ޙJӊE�7tU�J�hu�F
>)�S�S����4%3Ҍp&x����\�:
�2I�/�_}��(�?bc���+9ś�����H���ʚ$��߶о�"��ʴ�\�u
��n�㺝M��'�~q����c7gZjM|�:�}Ĺ�(;��j$6
��$+�m׉��2��yp���T=��˂�
�C�dF5��=_[ҍ�;[�>���ѵ~�f e��V\ɳ�g�P>�d�h9~���Ao�rU�)B)G�<��#)g�
ǷxĤ�2��_
1*��

[F�$[D#�
&N,$�8|�#;��H��*�0IxO����^�~w%k�l�����_��������RwE
�:?0 at ap
ս��D�}����<%����@�,�M&%�Heq�J�A��²'/�H���]s�D�O{�Ν�y�ynC���gx+7�Q��bTC�w%"{�o� ��*q�gp!�AH)��Te�/a�9D ���@��#��7�n��'�����
h6>�q����tb��o�&��
PC�v{�
��� ��L at G�w�O�
/ؗ� -�pu�"������
L�-~�]�)��n�� lUD�~q���)��E}X$*���Ɖ�U�
]ZY?�7�?g=����Y�{��lD��f(�2WY��{�RYn.�X��E[h�DTȪ�R���MC]rҕ����� B?g�
�Y���7
h���S$�e����|#2�	馌���3U�E��Iwt�P�_2K�pBx����D/���=��'�:�����0!�>ӊ����B��o��m��2	VV�)"�ى|�wW͗��6e69�L�xnҚ�u���,�
vR$ب�q�cVpl
K�x��c&.�� ��
���\����o򺶁uC�x���Zx�ª�
/�:�e�����n�x
j
��q�� �;��z<#�
w�I�����wsV�
��
����Y`�πP�_'�IT�s�=\�L��	]jemx�o�5��/M�φ�C_ӿ ���/����$2�7�����L=|{vMendstream
+xڭXKs�6��Wp�9P3L� @v�
ҩg�[k_:i�D�jEK�W~}�
�)Ǟ�@
��b��.��rvv��DJQEr�&V%6+E�a�������2��\��v.�;7/�k�n���i�h�{�
�W�6�5
��i�{5|+�����wE<0t|�ۊ)����v��[���ڴ�~`����X
��-^�9
|j����S"�(�*YH-�6h��Hؚ�w�ӼT(W&GR�N;o�'7/`��u�AS���\*y@*0?�dx��m���^�e$�_Y�я$�c�J!�evK'a�_�<W�T[�q��
��6Ajr
+�E.sH�
�Rz6+:�W�o�^q�_(i��jd|�)�م1:q=��zpmC1�G���\��
�z����g1t�[�~��{
U�y�
����D,^v�6����O[�c���T��u�r+���y^�Q=����ѹ
iR���Ȫu|!�ޏSz.����{Y��>������8#cM�1�Y����'����9wa%�t��W�����mE.w�c^m$��H�~p������|�';wl�8Yr��[� �i���q�o)$
Pۂ��iʲm=�t!��yQ o�)@�z��&�}�����$iKlwL��b�	
+0}=��;���F6‹�E��,��3ƣE�,�W�Ņ1%�@�#�w\М�5M.
K�) �
���Cv%4,� A���6~"����K��u��u��"v�Yasv@�
+A5�!��I����+���6�8�8��`�/X�~�󣴟
KK�΀ч|��ÎJ�#cF��>p���Y
>o&e�NF
�T8��
eև��qq�'�)c,�¸�@������{Z�y|�q9����
^����ß��Ȑ��u
�*�ȡ�Q����D믭��82�V�Ϡ/
���MW������6RС�k�i����7`�)��[��g�'J����ٯ�3��Y"�EB�a+�,�����,YͲ��,yU&0΄���������|3���
�,��4N�k�&�nY��,�6�J�B�=T�'�cw4pPI�ww�YD)+am�_�?bf2�e�껮���q�
+��#nl�����(o|��B�X%t&�C\�y p�
 �S�!��9a���v����X��vq��W��*�m[�W.�t��"TA
2����&��S/Qt�ؚw�eS�8�ש4hh�RU��ޠ��������-��
wO�v����4a�[P�������l��m�c{�Y_w<Z���X�)?��fP��un
+7��+�oy����+T�sxN��E`\�F���r�ҭ@���D�LX��R��[j7$�+s�yR�R��yKr����w-y
Jl������ݿ*�-
�Np<�	Jd�{h�Y�endstream
 endobj
-1234 0 obj <<
+1229 0 obj <<
 /Type /Page
-/Contents 1235 0 R
-/Resources 1233 0 R
+/Contents 1230 0 R
+/Resources 1228 0 R
 /MediaBox [0 0 612 792]
-/Parent 1232 0 R
-/Annots [ 1237 0 R 1238 0 R ]
+/Parent 1227 0 R
+/Annots [ 1232 0 R 1233 0 R ]
 >> endobj
-1237 0 obj <<
+1232 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [389.792 704.724 415.847 717.343]
+/Rect [389.343 704.729 415.353 717.272]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.2) >>
 >> endobj
-1238 0 obj <<
+1233 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [398.002 675.5 404.727 689.624]
+/Rect [397.497 675.503 404.219 689.557]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.7) >>
 >> endobj
-1236 0 obj <<
-/D [1234 0 R /XYZ 72 720 null]
+1231 0 obj <<
+/D [1229 0 R /XYZ 72 720 null]
 >> endobj
-1239 0 obj <<
-/D [1234 0 R /XYZ 89.933 137.792 null]
+1234 0 obj <<
+/D [1229 0 R /XYZ 89.933 137.792 null]
 >> endobj
-1233 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F48 554 0 R /F7 753 0 R /F8 551 0 R /F65 557 0 R >>
+1228 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F69 550 0 R /F7 749 0 R /F8 547 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1242 0 obj <<
-/Length 2378      
+1237 0 obj <<
+/Length 2364      
 /Filter /FlateDecode
 >>
 stream
-xڥX[�۸~ϯ�
�hE���-����-P�H�b�t��H<6�dH���wn��X'H���ù~3���|�s^촉
[��v����Ʃ1����я�j�����]Z�Q�����w��Δ�U)��+�TT��
�v\�E?¸?�ϩ�w}���wJ�e��A�#3�.
����;��O�
Oǽ.���_�����Ŧ��c�y�a�Gͥ�U<�kw�|�!Ӷ}��O�WD��L�������`͈����It��	�A!�ދo�;߭vM
uƉ�KW�yc0�2�19)��8��i仺�4�
���Y���(�[ߑF:�Q��0S�����À�0��N�g��::�5ӛ KW
/̥�~��[��̄,�
�J�*�J(Pj��B���E����`r�n#�`�t
��k�ɡ@��UW�L=
{��|�A���v`�-�ϋ7����+
-�
ܳj?:��Vze����@UȎ�w�X��y`
-y��2
8l�����:҅D�
��~'Yy��Oae��
-�Uc\�*�H\0
��%�hn�
�{D9
ml���g.�p��p�C����"��]��ņ�o�}�+G�Lm����3+��3�8����kхI��-
C�GX�I�'� 㐓L)R_�#���ҡ�A4挹N9���p�\ *�5
-�?��ƿ%Y��J��� ����B�
��������4 z��X
��<�c��,���a[� տL�˄�6z moOSIJ�.�!B�P5�pK�4�� 8����
�
�V8�[�d^e{��7���Gt�'�
xED�@�	�y�-F9�D�.F%�[�RZ'�D� L1E��Nc
|�R��BW�0
4
y�`�'!�8�
�Anx�lj��?�5�B��G&�2X<ج87�G�Bf�c
N=��>U�����֯]s�ly�;������\A
i at nMu@i0��5	�b��d!'QK��-������ʢ��)�
�t"�p�;|DŽwarg:�{
dN���e�iPx�-�

`x�@i"F#��.��`2u
@�%}p܀�k�t��Ə��]��^����WH�`����$�����#
_$�x
-K
�KT����'����,]�-HYB�
X.⓭�@w��F!��q�XЈ�
�r幊t"9�B{�c~�d�Mè�N�f�OL/�A�{a� QM�6�o�L(�9`l�µ!��.2)%���U��Y�}%��{2� ,�J��%
4��
ME�����ѻ	�����N/��׃���m�}�j)�`�,V<���
Ԑr���U�^�8h������P��&��r����
�j��������lǾ��l�'n�����_�~p�px�!��dt�'��.%�
-����lt��st��|ݟN�NA�
���Z�4K������W�똫
܄ !���TB���U�oC�kp�R �?Q+���{Z^|����f�֣�X[o�U���ʘR��� 
k��q$ÁZ�����
�~�*�% =Ȟ|}Q�n�T���h�@+�C׆G����zQ_�T@��:�_�>(;�4�
��2��8|J1��(V������~�:�Z3҂Z���w5H�>
/!�����,�z��!XS�͂�Xbi�
7-��:�-�a�>��=��1�)�`��*��l@�@�k4�ѷ�Ρ"����W
Tŭ*���g=�@ТߕIl�a����
-ӭ`��U���r�q��E�KE
-�
-�Nm_}j�XZ)��;LGaX._iH���V�
���a�a��Z�i���3�s"Y�ld1+���	�
hn�¥Zԙo(�m<���
2�+�`��
��(�A�o�H����u�A���������N3�
��-[��y
�
[̊8��O�JE��T��.�
E���/�"�m�¬���΂=
-���:�@�eZ������E�n��5Ը0�
m�UK�&sͥv�Lڻ�)]^�3�S�H&��o�1�&:.�vԍTl�1���ͦ�)�;��EC�
J���+�p�'��
�=|�o/NJn�;��
-�U:���U_�v�cx+���	�#Fq�������ܔ��V���-��~��ׂ'�#��O�Wo�x�s������:���/��JH
-�k(YP
����=�-^*P:.m=����Q���5qf�o�V ����3l�2��^��<�D�V��Ni�	�?�Yz�6X���$ލ��]<��O�ח�B�zO�Cx30�Fy2��Bf��l�A�r�
���f�o�Y&>l#x�(��^�����+^$ŷ x�@p(8?��=yN��f�fi���#��g�J�NB�Hx[O��f��o�/
{
l� E��
�ƃ��Ey�������\&+�����
���7ƪ9���'
L���t7��q�$������w/gBendstream
+xڥ�r���_�#U��1/���
�8N%U��
���q�tQ���V�|}��{3��+��x����?ܾ��!�B��:���_X�h���֋����������՟nVʚ�����_�b���	�!�|�`�
|
N��G�<�!�O�lBT�1Hp]��z\?����T���g��j�\lo�[>�ŀ���S������\vt�z�˓ge%�$�鮧���@g�sd��cϟW�����׌$���`�ܞ�����Y�Z-�F,�!��^�r�SD�����Qx�x�My�����n�^��4�YS���=����y������v.(c�'z�n�k�*=M�)WG�㉁�;:�Y���1��:K4Z��ֆ3A�2Ss
w�`� �3��aSҗr6�q[���c"?^�3��E
�x�pL\߯��c�=a��
E*��@_5N-�¸_�$��� ��#�Լ n����y�v��=!^g�3^y�$�� &(X��(
>�Qv���}bA�t�L�/�2� �����L�m�w��'O'"̔�@
F����䡋1�Db�?#���>�>$���̍
+~xd�3���^�y# ��`y�3�|�1$�}��<�x�������?f��+}L���#��}���D+x1��Jp���Б�
(�)�
"�}
�}�s�˩
	���(���O��=(���J�[c+�j@��?���e��Ȃ֕�
����PM����t�S]�m��S��WT�X�

�ZA��	GA���
����2��wB,�G~X��y���mᲞJ0s)���{89BA��t�2�~��/H�A�ƲD/��%��4���1�SHIE����~�D�RӀQ
E���)�>7�V���[bd��M�}pI����0�. 
��ˁn��ʌ�q��ew�<�1�6M�p��u�Cw�i|�v��o]�It�3ZNA^ebʹYe�U�8�>-�p;�Q
��p>o���!�7�ٲi�J(�r˯�q��؞�r��ѳR�H�3� ���T8�79G���D�]��H��;�l͘��*�m�����}���B6A4��|���XAyC��
����F����S�B��s�
+J�����

b6��,�G���&�x�^F��lU{5�L�
�B/����eg��
�e�<

�:*��I�#it�m F��a+8֚� ��
�ϙ@�1��s���P��j�>�M*K�
Ǒt�O��`޹�R_B�ރ�=�"
�OZĴE����瓉&�;&GO\9�vhl�ȫ(�*ٻ�hA�
;4�;�#b
���
QϢ3��Us���A�A��")�s�	N-aW�#�#���}}D��5,e�z��]c����1
7�c�&��������,
(�	�>D]�qu�un�ZOF�%��M(�1��-��C7[����Ä���E�Or�W�M���G�E)��i+٘�J������C��z�=�"=jPot�Q�=�
� ���e�J+�j/��Le\��k� ��W�w7r6ia[��wn�����ٱ�����%OWCDŽ� C7�*Yv�.�>
�?́(k�ҪRA�24��1����ܑF�LT?���Y�K���,�
�y��q�~�T�tඳ�$��|��X�)�������d>;[�Rx�4~����M��yQ�"�+�F
+I����w�p�U�V�*7�f�I�X�i���x�y�Wm�<5�r�
�tQ`X�J�7
+l��U6�=U-�k绬5o"��YѐuMO

����i,
	�+�<���u.Fl�
�k�u+|�b��j�@����KT�u(5�\d�d��BV.l�Z�1
�L�I�HT��X�0����� :�����DQ�C��4��e�9>[)6�ǜe��$���
d��ş�~l�)Y\��2�
+9�[���
+�*��E;���pL��~�|������c��ߏ�E0�5M$~�
�W:SJF^ ���P�
sU��27$�n��/��S�6�����ߧ� ?�.�\�Hf:O�l.6՘Lc
+	+Ԟ3]���-�Ѹ�D��-r1���h��<.�hH���T��</�$�O��x`��P���Dž��߻�=WJ�ɚ@+j���
+#i���<3v�l**�TFV�4WJ��zcLR��	(U��g��X��B��C!���EU�'�z[-qR��-��V0 |�������+�bS�.`�6k�PP�w����5k�i���+Oc�ͅ���T�=��<�^g����"��]���@q/�-�b�(�-��X��Q�P�ll�~U�J��f����"�0((R�\Z'���
�2݆
Zt2�g/Y�p����Cy�.
��yӲ���V���<d[%ȑ��v��)��c��s��
+
.�����pGb�����ݟn������endstream
 endobj
-1241 0 obj <<
+1236 0 obj <<
 /Type /Page
-/Contents 1242 0 R
-/Resources 1240 0 R
+/Contents 1237 0 R
+/Resources 1235 0 R
 /MediaBox [0 0 612 792]
-/Parent 1232 0 R
-/Annots [ 1245 0 R 1246 0 R 1248 0 R ]
+/Parent 1227 0 R
+/Annots [ 1240 0 R 1241 0 R 1243 0 R ]
 >> endobj
-1245 0 obj <<
+1240 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [371.453 380.813 388.403 394.761]
+/Rect [371.431 380.8 388.355 394.634]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.3) >>
 >> endobj
-1246 0 obj <<
+1241 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 340.465 158.19 350.759]
+/Rect [141.179 340.451 158.103 350.674]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.1) >>
 >> endobj
-1248 0 obj <<
+1243 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [284.118 301.79 301.068 312.085]
+/Rect [283.863 301.772 300.787 311.995]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.2) >>
 >> endobj
-1243 0 obj <<
-/D [1241 0 R /XYZ 72 720 null]
+1238 0 obj <<
+/D [1236 0 R /XYZ 72 720 null]
 >> endobj
 122 0 obj <<
-/D [1241 0 R /XYZ 72 720 null]
+/D [1236 0 R /XYZ 72 720 null]
 >> endobj
-1244 0 obj <<
-/D [1241 0 R /XYZ 72 401.811 null]
+1239 0 obj <<
+/D [1236 0 R /XYZ 72 401.805 null]
 >> endobj
-1247 0 obj <<
-/D [1241 0 R /XYZ 72 336.569 null]
+1242 0 obj <<
+/D [1236 0 R /XYZ 72 336.553 null]
 >> endobj
 126 0 obj <<
-/D [1241 0 R /XYZ 72 284.863 null]
+/D [1236 0 R /XYZ 72 284.866 null]
 >> endobj
-1249 0 obj <<
-/D [1241 0 R /XYZ 72 200.58 null]
+1244 0 obj <<
+/D [1236 0 R /XYZ 72 200.59 null]
 >> endobj
-1250 0 obj <<
-/D [1241 0 R /XYZ 72 147.128 null]
+1245 0 obj <<
+/D [1236 0 R /XYZ 72 147.13 null]
 >> endobj
-1240 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R /F51 1171 0 R >>
+1235 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1253 0 obj <<
-/Length 1900      
+1248 0 obj <<
+/Length 1866      
 /Filter /FlateDecode
 >>
 stream
-xڭXK��6��W,|���"R�
z)� -Z�(����D��Ȓ#�����<H��Љ�b�9
�㛏�����72�"̵����dy�u~�FY)��	�
Ƶ�-�Yob����{Ӯ�78��a��Y`��}$T�Kqs����חo�hv�H�0M�MD�
\6�F2
����l��ye�e�e��T�l�
-#؁��K��ai+s�w�[��)
�7�h�J���o���`S�-�m��Ύ?�(����n
m��'�!ȳ'=�)���)�%e��]x��:I
,ـ�Lc�������q��'3���|{��<
-<��P�GT�TBG���5F�jN�L�z�b
��v�s���bh̭�^J��ŋh��HGO�������=^�����~����~���c�̚��?X�ʉQ�+�e�`��	=J3�#���xG�Q�6\bX�%�x_X���3�:��
�V�
.�1\a�ʯ�—J�*�
�]�#Z�`�1�D.Hˎ3o�5��

l��i�

��h�o�:�"�ݑ���x�$�C��
��Ae�ű�[���)D]���������9�x��XA�r5���g1�C���s�#G�����T8�d����,�
��}�>`S[���k�7>�<�X+��
��+�U 
- �d
-��
-/��\
T	�켮���3��n��{�\#��[s���k$2�u㎍3�?������ӀK઼�N$���ɏ-+s<�Z�q������67��c5�$���BW�nw��z���b�����%���
�r�;B�+j����h?� hȶ�d��<0��.��
��5�ںi���8j�k,�1�1�E�U���*�Z�D�%� �:H�R�r��_@%�A�s�%����R�'��"�0
�̓?�O0^ӡ�KgM�Z��l���g8��Ck�q����λ-
���0Α�q�nV�2�X�R.A�
�6�L/l;�B�VoO

te��8�������(�����.����L��1R
8�GB.q���
������e���Y��̖\���/�X��Dݟ�1f�,]JbG��7���� �>���X,�qd9�[��;��\$�y�\��T'_um�y^ =*
-cA�R٬lrH��k���k

�o�X`Fo�kW����
)�̪2���ܻ��	��O���D	�V[,�r%�=���b^P�@5�&z)^4�5�͇�<�֌Զyf���y��oSu�}lm�2�:�B*P"�gkUU�Z��"��ZY��r{J}H{�ϫ��L�P�N{�ZNA�F'$��q ��N���o�8ɀ:���y����g��y�p���?���K0�zO V�8�
��Z��Q*�y-���UMϫ�̗U
��W����
U��������n���=���9
j2pw�i���4�H!Y�a.X��h| �x�"a�� �s�0�G`���5��8
-3r�>�"{
�?��*�=�a.
�������4	e�|_9ғ��f�Ō��G��[
H]M�|��@az�8��O2òta'�� �a
��N�EE敇�e�t�-�W�,Mu;�W�
c�ڃ�;b6x�
�O)����9�.��;o��|�g��|I���U�ԹbtV�e^�(����q-W��Es��k�ܓ鰸gJ>ǜJ��R@����s�`*BK�sҊ�`����N{���O�9�VV[���KB�f��Yj��1�'A����iW�7vZ��[�˧���#\�Js�����+.�
��:��*3����6w5c7w�����.b��5��?��B��D�Cy 
��>?���싺e��AG�}�| V�^�K��	@�8�k�"���ޅs�{�Ɯ=�Ǧq�3B[����ZEݠQ�
?�j`���J��0˘h*�S/^߽�c���endstream
+xڵYKo�6���d1W|I���Z�hQd
�

[I�u�4r^����"eʱۃ �r�߼�.޼�(���j}vquf,�ڞ5�a����ߓߦ|r��\[�6p��ZOgRh|�����n�j7SapR��Iw7���]�E>W\�m�?�p�.~~���:���R�U(�
r��<y&�0L5
�H�Ś�Z:���Λq�vUٳ�P��
��*��YSibrK8xfE�$Z8��9A�:XT��VGtw�����"����tM��I?��9|�~h�[.m�L���3�sS.�v`���B0�9eٞ
d]���E�ח~�A%�hq3'h�p�+	�VL�y����N���6�))'�sPz�L��訪�
���Ȃ�:���
k.1z̭
+�����0�+ʈ��Њ���@�~0|�/��|���.�
+�{>ҧ{��/l8�u��
+T�3�_J�#-qG�Mpbz�
/�͋��WH5u���� ZѼk^�����=a���(Mf鲁W ����z"7��?��C��'y�k���K���
gҵ�\DNƣy5'�u��
+�+9y�Ymy1 �b�9fCe��i*�K͸	�x�f��&uI��y��p�w�Z�/�/��A췈���Z�����|w�g�����K����N��ٽ/�T]�!֌+��zT�� _�6*!H�J�����ӑ��6�� s�k��q��#��{��"p���	� ��Z���{G�˘~��7^���`'[�8��M��Z,TV��U�o��m��.����=�Yw���)�j	ë��M^|
oٛ�9_ޗ`�y���k��u&!�c8ħ�Un�}���x��.�1�t���0k� ��4�c?AF6�ª��X����)'�r�ߗ��0;豚��B�ya�},ݸ9A���DwIq�-U�t>%
+9�kjx�{XΛ@��<�
w�$Z�ü��y���q��Gѕ�
������Kn�j�^�b�b!��$i/��P�pfb�r��s�q�U�N�*d.4�b���D�o�}3P׬nL�
Tv��GJ1�͡'�(��'�u��a�&t��`"yy�$ZJkC˦��Np��X�O�B�Xz�4��� _o�!��i%��Q�NНYk']��V}l5��V@����}I��:�D�>U��6
S��1��+s��qĂ�uxp�1z��I#���l��Ӕ���@!X�_�����,��VL��Nސ#��:1wT�Y��Oc��#_�
+f
έ*��0'�ni�^�D�d�o�pk8 �^w��Ь�*�eG��V	
(��Om�愀(kä��
q߾I��2f�z; 
\@�y���xĄ1cŚ�n⡚0���D��&���k=\
U���,J��E��Ţ"�0�8�a���bV��@QR��'ׇ�}�U,�=x
[
+�b�I��<&��/"p����jh���
�@7x� �ӍA��I���C@祅[�Ң��cշ/-�yiѣ9$\��]ܽ;p�!$�h=�љW�IfDv7I�͠��ʡO[��M�!lL�����3��{��I�,�
{4�'����)��C�
x��-��\I9�X���l�Qu��Z�Ӿu<(�1��
+�c��K$�
"�~a�=kP��
���Ʊ8%�
+���m|����F��
�W�x��ܑ��Ye�o4�W�p�cb���x���ȢZ�:+t��� �1U�U
�"xjzA~E-<���3!�66��8���s1쌇�m� �f��)��P�%>} �=�(w�U��x�
���/7|���>@�,D܌���B�
+*
��T���v��!���zkQ����MRc�Q_׶�/������44w�� 
(>N��;^���@�Ş�Ϡ�gF���2c
������o>\��:��1endstream
 endobj
-1252 0 obj <<
+1247 0 obj <<
 /Type /Page
-/Contents 1253 0 R
-/Resources 1251 0 R
+/Contents 1248 0 R
+/Resources 1246 0 R
 /MediaBox [0 0 612 792]
-/Parent 1232 0 R
+/Parent 1227 0 R
 >> endobj
-1254 0 obj <<
-/D [1252 0 R /XYZ 72 720 null]
+1249 0 obj <<
+/D [1247 0 R /XYZ 72 720 null]
 >> endobj
-1251 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F78 924 0 R >>
+1246 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1257 0 obj <<
-/Length 2901      
-/Filter /FlateDecode
->>
-stream
-xڝZY���~�����A��E�v���:�	���4Ւ�PGDjf��>ut�Zcm
<j���U�u|U�
���cn�4�{\ޙ"N��<1q����K�$E2���X���(Oһ�ּ63�^&��2ib��[VnJRƪ(ܒ�m�Z���Ȣnmy�ԛ�kq�G
��
�L�3��8�{��eq�J7?/_���L��"ε_}
-R*S�gs-���� �":0y�Zn��}�;q�z"{T��|J���a6O���ED�d��C���+��>�

k��?�W�����"S&+<Uw$�p��\�~O
���
h@8e����*i�C	�oW��PK
�ΘX%���Qc��ᗄ9�1������b�
9��]�{�ޒ�)�<�FM��W&�Ⱦc�9�`�;��Ÿ(96�4��W�S�$�E,{��
-8 z�g� �Dk7�~�Yn!�8�5( �c�I0a��o�X�]���-~�o�L�I/v{|�w����
'o���0�dq�; h
|`��w�bzi��+9��,�
-��L��s���P��������{�h(��E�y�@�z�?
�!s
}��֏1L�e�D���n-?���xԨT��)�~�$I�U�<�?o+g����
�a]���
�ՙmu�e畼�U%���8_8��HUn�LBp�@���

-�*N���=��4%9*�Ȃ;�������c��-��!}b�TE�H��)+'�-+�n���cF�s�m1}�yd�z�yآ6�lM
�
eёط-R�X:4=����
����
~���;l�"�߮
(�
�-�zZlIyN��r��
-
(j�}��ْ�	��Ƴ##_��&J�Ib��e�-H�4�
-�Q�4i�wӞ��|�� m�\�#A
������2|}�?ו�s�'Y'!K�{>2gM���4��D��%M�0�#�pQ�z�w���;�ݚGϳT�\s�n��F8�@��8
�/I(�,.r}c�����|Z�CzB����	
�$�5n���s�8w
�ܦAv���Fvsʥlks����zG)X�b̦�Q���
\ژF7%��~LlZ�B�[3��:.-L�0�;Ȓ�	 ��

c
-	�a�]��rl�Q׺4u-A�ǢGv.��u�����8���˳
�hz�o�}Hr�C���,�Gk��T��}߭�1=�3/�Y�T
YO�q@�_��R�_�XE()�^��se@
Z3g��9�v��\HE��
�Z�#Ir,0�	����g|��~�T�	P�Gq��+$�0@��1w�Z6o|�: �������{�."
�;��(��
&��/�
��Sq��h��,&Ǣ�Yђ:@B�ʈ�a�s�<��5���U�\�9R  ��*\� eQ
��b�p�B�J��z�'S��
��	T$�7�

3�)|a�D-��D[c.%` KB���@�+"������F�~J�#͛��&��@�F�svvpt����j]��� ק��3�n�!�~۴��)
-
-�0ZD|i"FΫ͛�2D�,3�SDjx��
*�_/
�9nJ��
����4�i��
��;����2� ����8�F^Z��t�((��5�2����u� Z�e���2�
,�B���"����'�2
���Jx�0�&�V�#��z�� !/�) �T� �e� !�n�_œ0��W
� A����m�L�9�9�����K�	q�c���A�����Rn�����	�)���f v��Q�?L��˺��f�H�Q�Gv���%&.��:U�Y{&N��T }]_�
-�f���a�9 (4Mba����-滺;9l�/��B�Na��L�T�R�J����Zu�����;�K�F���`�$�;��obh��<�� �Z�{?Xgf���k �`��-M^��%����P$S�8(��a뫼�_/춭;N�
����e>�-��m�ջmTs~�L\ܜ�;p�Q�2�(ҡ7����q�����)˪�FLRvA�F���E��]@�l�|
^�Z�@�(���k�PA��Έ"��|�."�pY1�I����I;Π�)��4֫:��ݡ���W~C�h8=��ٿZ�!?��2^�����R���
�4����PNWk7<�$��mp��lZ)��;�34F�mê�J׬t-"��X���
�ozk�I��9p���3���6�C��
�k��;2����r�c��Oǖ��nE��x>�/I�.|ђ����n탻Z�am��Q�:_�P��%]��LŅ1��A�[e�� �s#FM�a��	�_A���Ԋ�:$��un�*U
-ؐc��֎�K����M��5[����� w��)���
��^
��wY[�3��4i��0 ǦkU��!p�f��%@�il�OBJ(@!��%E0i�s��;�FcW}Cw��kM	��_`7�LM�	k�y��\��g�E
�X������
�1Pk�[Ӄ<K:ԎFKIM�H��q�Z�2Ψ̈́�>�����Bh���oZ��K��zs�ˎ�.>c
$tǬb�_6�ʊ �w�Rt��ƍ�(�L���n|������˝�����u��C�_�a�i�Ï���߿����|J^�n��(�j�e����#�l�͊nIic|�
C�3�k�cO��9�ъ�Nm��JB��<��ɕ�q�
�$���LFW��c�q���EN�
6Ѓ�x�a� [...]
-�q�j��4]+
��\���}m6�8����&��.`tA�/^�{Q���L�G?����x���y����.	|a�mN����G�X���~z�>n6"U̵#
-B���L�?�(��z�PC���U7��3�9�!���;�=1�"0B�~s�$l&�}|�	^��a �H����״u���-��k���练
<2O'"��
-t.�3T�
�J<�j=tR]7G_X�
�s(Q�ۏ�
�����?
y�endstream
+1252 0 obj <<
+/Length 2877      
+/Filter /FlateDecode
+>>
+stream
+xڝ�n#��}������dY`�	�
�ɮd33Z�5v"�<����"�W7[��Av7Y]d����wx#���9c.�v�1�]��2�a`�n�^
+��p���]	O=7�}]��
~7�
вD+-]^�
��-�R2-4A
�A���r%�[<�5���Jq^ �q����~��_FɒT�X��D�t#
댢������F$Wص�&Q�B.T�DΖ+-����J�C,
-������)E.�ႰG�{b�{n8��j�2By���D�+�;Pq��i�y�
+��g

M��"��bY�O���]�����RXɄq��)�Hb�Hڣ+v��X˔��h���B~��|�.�g"�>�٬J��T���2�}τ3��NQ&9���&���e�(�(
�M���I
��7�pL:K ´,�QG�70�":��|`�`
+́�VX���,m	������=n�D��� :��d�A�� �X��<�o�
�v�\�Ir�z�6H.���
�v�8o�0�#[��W�L
+���`
�W�1'� ![�b�� ��#�g�)2�v��K��W��z���^�5�
Š�[Pki���mit���:�X��x-�C�p��1�{z�FB�
���Ki�ןP
��w�c��m��ִƀ�(
��cMx�k�n�	�خk��WQ����I����`9,��J��dڎ���b� �4�h�!vI�`��zq��dؙ�u�FϜ�R��@T:!ؼ������H
�ҷa� i��T
�����7��	���F+��(�
�Б'�v�#x�ڃ?R��(�c�w�Cdcr~q��U#̱Q�Uނ3�y�hΞ�>��&��.�{;�#(�Gq$�K���/�F$�_&QZ-�ٗ��,‘�F�=~�7��C3���ُ�v��[X#~;e�H �
r�z|
����D�
+��w>�
+a� ����ēV3
w�w��Įs#��i���T�@��wl F�9�,b��4)�T_�
	11�}
+t
��媒V�\������q �W��
������YX#�М9e�M=b��mU|ABbY'%&iL�~\adn�_@ey��K��\ Xg�L����]JR�`odj�xK��q��9u݅� F�;���ah':�EW�o�5�
�.�`�ζ�Bq���aY�m>c�P8���R*�$j�Aq������A:�w�U*L�DA.4$+
g����	xh :T�0�8�
�$��4O�*�����cNY�]R�x�7�}?�U��;?��
h[��j�����T���`�
K7��T�<�^^�

���XU��)r����J�{H��~��	6��V-t�ct���u]%e$g��9܅�mɗ�srfSKg��}��vG�L��V��R1]r�ʑ���m��x�>{�
��yS�/˰��U�L�}�;�?}�E.��&t��>R@
}Ѳ7����N�E4�<)wf�L�B}O�
�CY��Z��S����뛔�����4��	�K��Xk���΀��ٙ�v�_���Vjg��4�h;JV;�u��X
+V�e��`>t�Z��w�q`o��z��J�ns�9#]E��#���ک��
�Չ�
fgܠ�GmG���s�F�~PN������A9��:7���
+��+�_�j���:�2�,��A���{m%��a�t�fu��w�l'
+'[#ktLX7i�!��vPX��J/��m� Duq&�8Od��(���/ױ�����N�֙S
+nA`�쯵8G
XƕJ�>/����+U�R�G.�x��1
��.LtH�%�������D����I[[�-��ƗK�O�m�R��GS[d�S�U'Zʎ����1~�r@�>��0�}&
Y�G����K$0��炩����E�i�Ӊ6&�9��M�C�F�
+����]��ۆ�f�Lmr��>��ӧ�Kw:{Rj�B%b��;t_�+墩���:��Κ���qTw(�Jb]ww�<���ȣ\�<b֍@�gRO�nD�݈��ڍ���A�
+!�~y��I!���T�w�)5����$��f);yۨ�N�#
�9����(l�'/K�
+� �P(͟�c��-��$g�
�QC���q3
,�^q��zr&��DA��Ќi
҂]�s�0�Q(��-��}����w��e
+,��&���04
��}�V�O?E�Bv��G�o�
j�t@�+��S�D���H�;mB��줖B���KlKW�kQ$C
�o�J$�N3���l�7N�:uS�L3cn��fj���
+&�ऄ4�
N�Z���9�����

���i����HK�
-�-��6�=�p�1M���>�z�s�*
q�B�a��3L�;�����f3
5lG�iY����=}*���-��A����d���f�|yD/NԶ�tg%�\����@��L�`�K��?z��0���� �L��}��1L��}HHWhLG/Ġ
�[,�9nGi}�N�?��#���Ug�{p[�u�OwC���Ek�lw���7��)���6?����ƙ+O�!>CrշN�����ƃ����\��I���!�D6�㛛H�s�.X�O�px��[S)��'���_2�w+Y���X�Z�kb�u������R�Μ."�}
����&vI)W����OW���j��x� ����ו�`�7�/�M������=��*��wS�و
������Y�c��{̼3��̴-R�(��b�ǖ��!�C>�8�n��dS����ǹ{g�p_W
+co�rr�m���YA��b�zE������)������
���*�)1"� ��.�i"-���I�
��-!���+�^�L���<�塘�>;&��
D�y���N��K���-�
7ė�|E��m�R��p��Bw������^�bendstream
 endobj
-1256 0 obj <<
+1251 0 obj <<
 /Type /Page
-/Contents 1257 0 R
-/Resources 1255 0 R
+/Contents 1252 0 R
+/Resources 1250 0 R
 /MediaBox [0 0 612 792]
-/Parent 1232 0 R
+/Parent 1227 0 R
 >> endobj
-1258 0 obj <<
-/D [1256 0 R /XYZ 72 720 null]
+1253 0 obj <<
+/D [1251 0 R /XYZ 72 720 null]
 >> endobj
 130 0 obj <<
-/D [1256 0 R /XYZ 72 634.072 null]
+/D [1251 0 R /XYZ 72 634.098 null]
 >> endobj
 134 0 obj <<
-/D [1256 0 R /XYZ 72 236.098 null]
+/D [1251 0 R /XYZ 72 236.163 null]
 >> endobj
-1255 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F67 564 0 R /F76 747 0 R /F51 1171 0 R >>
+1250 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F114 560 0 R /F142 743 0 R /F72 1166 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1261 0 obj <<
-/Length 1821      
+1256 0 obj <<
+/Length 1820      
 /Filter /FlateDecode
 >>
 stream
-x��XK��6��W,z����zH��-zj�C��H�-T�\������)Kkm����j�
�
��f�w/^>��NJQ$�ݮ���]�"��W�\zԛm��=�͟��_>d�l}��8��BZ}2�>'��w��cޅI�w/O�E����p<�����@���@[s=�
HUY`��F���i��!ZP
�G�½�"k8���Izʸ���m
FA��[��Q$
-�C#q���h����F��'����Xi�b�r�w݀&^
�y��ܱ�7��
-�k�G7��a�/���V
7�Y��z����]w3a��ˎ�u�lۡ'��ʻ�3l���eFl����[����f��遄BO>#�I�
-�Ł��
-%N�>qn�
-8��)ɓ9y2J�I�y�>:3Jb��w(9�f	&и��=ps���P���и}��o�(��Ȟ-{If�� ��n2箴�^��X�Q{�<8�}��#�C�P�ᶯЦ�6<���b�d}AGB�<�0�F�����і{�eә�к��a"
#�֥W�
-?pl.ӊ�%:��s�.�W�%i��򀊏����+�@�x�(y��׿��7+Ȑb6,�8s>�FmXy�y����o]��My�,v��G���h�:N���<E^w�y�}i��
7�
-�
�L�zs,, at Zd�r
v���
-�P(����ƨG0��g�7JD▷�������*�G�$}��>��ȕ�
>J�4����&v�Υ%�ܣ��Fw�s����jC�!lv[3��b-E�x,�F
��1 �U��5����O�R;q��R\)��C�@"�֥JBJ�%7�,�z1��d(�I���_
O��~-w���G�? 
P�
GW%�֎A<#�o`����H�v@��]8uϋ/��5����T��J{5�],�݂�8b�C��|����
{K1��'Y 4��[�
P8�&֐��3
����U�]��
-�*4��k�`
�A�4�{�ė*
-�W�
�񄶎$DAE,�B�]9�	�<_�m�*v�V4/.n��3�5z�^��4
��(N�4���'��
���Z
-�e�bp�P
�K����J�!����H�UCe�n��SA�Ȕ�{�@�����,3UF�+���P#��HƿZ�Gqeݎ��r�#$���(��t�}�&����s��3u����x�h�JTt-X��d���8j�m0�W�C������TP+F��&ѯR�
�7gS���m��d��JR��JN��c��
��f\G��g��a�|9��
U�Yw
-܃ю����|� �=Ϡ)ܺ�}�U&΃y��%�5����vLּkv-�`Ѕg��S����vSu	c�B�	���k)�J���go�����W��
6U�>��3��"
��)�V]�`1t��Ճƻ٥Tͅ8�/�/�{;{�<��
�]&�d�
fB���<���RSH��W��
���A�T�eCJ�'��.��_�RݑT�k6^/��a���͢�Y�l��Cn���
-#+��ra�^��A���O3���3,�ψ�ڏna�^��)�`��B���]ş�c1�K~>�]	:#E�������i�id ����+�:3\̎��D�҂��n��������N��+}�
�5\H�ܤ�TL�=['��@��s5�P�^ٮS�==�j���w�qK�{
S*
���Gד
���ȩR�S��|��?҂��r�	�4��*���N��6"�C�t��l9�����;��q˔����a�QF�r�ȶ�O��?I FW��o7�p�V�{�Х�����yS��sz�D"�|�q�s/��^�
��endstream
+x��XM��6��W,r�����$�@
�@��uEӃ#K�F���]���
��P�כ��
d�"9
��z���Woޫ�*�D]W��RW�4Bjh��
o�٬�۟�"���^�����o�g�d��B誸�8�F��xv�ض����=���t����c�μ��λ�gE2�V19��
+
h	M5��z�@>��*�P���P���3�m��&3�n/������>�LCkkG^�Z����r��05�k�u �l�o����1��u~	DEl��Y����8ن�)�8 ^&°�t��O)0�=-u�?�}t�7�%��+gY�y��j�:
�ʽַOVMtו!�uM�f�	�P@�jA at q�Ϻ��/
+U�>��r3eƪ#j+�ע�E�Ͼu=�ih�����u)t��NZ-/Lb��������j��{6L?n5�
�p�&������0� �Z1����x��*E�M�|�H{Z�
+�]Tj
+Z
��&�
�)�&�~�
_-֊6ba���H%%/Oa{��S��3n�x�4��EoI�B��~6\_���
LB�sg�2X8�2�1b��� /F'�ɩ잋�*��ni�
��
�C�?�����[x~��x�M�u�A�3��@x�
��.U������B��K�nE�x��@Uy�{r�<�Ҿ
·�Q�1!��r�v�۳��
d���F�Q����(�����
%d�LЮq+�dq��P�dYe��v���P�kCӼ'��+_�
��ty�k^�/ע��=U^�H��,�����
LG����
��v�
\�bv����vw�%�p*��T��Dp�5�9Z1� �n�R�n���k�����߰�ߞ�
�p�'l���6_�2RT��ҹ�d�k�������/��L�U��sx8e�b�s	bB��vI\�e�״܉R枕�[J�\�kg	;�HBYec�Ӭ&�Ra�)��L�qp����F�/���D�A�q����(�u�j{��S�2���f6%Չ)�ڲdSg]���tu{�y�ϑs�\�C�"1 �B6�#y�Fٍ����l"��W`
l؅��0iZ�*�-�N�0�	w�t'��"�_���ة�{QA�P��˔�
����1�v? ���Ȅ�C����Ч��
(2-E�B$�����
+�
+���!�D�,��wA��x����
ߐ��J��
O��T
+";�*���`i��%��;?؆v�ԡ�q�tUAְu�ؓ�\HŃ��4��M`�؟X�Ĭ���q�O�ɟ�PN�0||T|��W�f��eg��EG�
+��Q�^`jO�>=z=��zXR��׹�c��oX*=$I����҈�d�:|�f)��
b�NR�� ��c
m{a�ێ����Nm��b&E��Ĺ� 7u�M�}#���1�|��b�ӚfE�h�)�ÀKϬ/%:�Whn!)$�W��*��'
QI�g�D�
@�����g�=?9E|W>�$���S|M��_�[
�*^�v�N�G�D8�\_
+ �pJ�-�����
�"C+��Fjy'o�E֪eϿ�ͳV
rv��?��R_N-�t�E�
��&�X�NYŻ^[|�w�0����!-W�QT!�DQ��EңEU��Gq���Y��B��ꓻ���6����'W(r<���
1��D�>�a�I�����Ӝ��#m��xO�
7n�@�;��j,�ԴdWb:����uƁҰ��Y�?
�K.8�[���Q�Is
+�ؿ���Nz`涿c�U��Χc\���1�0a@���7uAO�&��)ފ<�#נ�
*� -�7��vY���������b�E �%�L�l�
�ܜ��y-�\��;Dq�8qpom��.��0�Ź��s3�ze�_�[��ԧ7Mendstream
 endobj
-1260 0 obj <<
+1255 0 obj <<
 /Type /Page
-/Contents 1261 0 R
-/Resources 1259 0 R
+/Contents 1256 0 R
+/Resources 1254 0 R
 /MediaBox [0 0 612 792]
-/Parent 1232 0 R
+/Parent 1227 0 R
 >> endobj
-1262 0 obj <<
-/D [1260 0 R /XYZ 72 720 null]
+1257 0 obj <<
+/D [1255 0 R /XYZ 72 720 null]
 >> endobj
-1259 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F78 924 0 R >>
+1254 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1266 0 obj <<
-/Length 753       
+1261 0 obj <<
+/Length 732       
 /Filter /FlateDecode
 >>
 stream
-xڕU=o�0��+��Z
I}h�4��C�C�v�%�*[�%'����{$��IZ�
M����{w�/���U��2�JF�t�&�MD�EH��;��'Y��R��M������꼟�O&2�A#R���xB	��H}YuŶ��d��@���$f_�д���;���]�p��MC���3�:��W���BH7HR��b�w����,w�3���J���s�7G�oS��\�EŮ�<����A��}�����U$X��̦�W$��%��4�H�"�
�ٮ�kכ�'u˜�H��e��_�fS��fWV�9=���ƽ�1��P5��Lc2�1�^
S�9�nHo���"�X� xV�|]v6u�4f�ٶ�IX�+4CחAĩ�>�?D�A
%��6ǔ,qJ�3
�k�{*E�%�h���"�?x~$C��H��ni�!"q[�

:b��L��D|��y�G46ln=��\�i�_XȩQ�f
q����� �ug�	�!��Z��l~X���xb�.�^pԀP���T��O���B��<d*>��E��W#��%8C��Ƨ��>
F
�D\���oI
��#/
���0x�>6fM�18��:��Ǒ� ���')G�،ƶ��MYnu���;�����ڤ�v~�
��f�
-�7p���)�kD
���
g 7�+4��� �6Kk�|C�
���11]ժ�@M��(��&�������Cc-Ȟo;+,L������ �O���AH�7�1X�t#3�򕯠R)�aB\┫Ԑ	�ß����endstream
+xڥVKo�0
��W�6V��,�1`;dM�;�@vX�
��I�%q����~�H���g7�@˒ȏ?�J���鹔�ɜ+iXw�r�rQp�av�#2��8��)��:/0�M�fcxT��g��`4Ou�0�%���6P�(	�
�eԟ�#�
���*��$�M�昤�}t�'�,��]Wd��ֽ�Q��mI�!�dR</K�U�e���{`��ƺ�������Ӌ�dgu�ŮV{��M�6*�J��K�MK�F���k��
�D��
��8��b%.�^��*
@��k] 
�D�G�9�4_��56:��(
+���\�ѲYTK��Y�DŽ��՝�|�����_Wc:�!�	,f�ۧ�5U�I"��_S�"5��
�`�
���Q�5&��H�oՂ�I
70h�)[�D2�0��
)=�ec��ђ|�G�w� 68��¢�#�ȫp���
+v#����r�Q(l��Ka�c��αר��A8���3
+����!��b�}�
��h\"��;�?�/›d��;�
$}K�^���&H�)�Ọ�vCED���\7��H_�g���p�{o����Ċ>!\�M2,�]��Ak��]����y�a�8�d�xDm��î=j�f�n��G���ޖ.��+�w~m׬
�K��5�F�*�o����b���?�
4ȼ�
+<:Q��ty/�Xtim��v�����^;�׃�����)�xg��HXt7z�Y���T���p�ʌgEiA�����~&�endstream
 endobj
-1265 0 obj <<
+1260 0 obj <<
 /Type /Page
-/Contents 1266 0 R
-/Resources 1264 0 R
+/Contents 1261 0 R
+/Resources 1259 0 R
 /MediaBox [0 0 612 792]
-/Parent 1268 0 R
+/Parent 1263 0 R
 >> endobj
-1263 0 obj <<
+1258 0 obj <<
 /Type /XObject
 /Subtype /Form
 /FormType 1
 /PTEX.FileName (./figs/sample1.pdf)
 /PTEX.PageNumber 1
-/PTEX.InfoDict 1269 0 R 
+/PTEX.InfoDict 1264 0 R 
 /Matrix [1 0 0 1 0 0]
 /BBox [0 0 450 288]
 /Resources <<
 /ProcSet [ /PDF /Text ]
-/Font << /F1 1270 0 R /F2 1271 0 R /F3 1272 0 R /F4 1273 0 R /F5 1274 0 R /F6 1275 0 R >>
+/Font << /F1 1265 0 R /F2 1266 0 R /F3 1267 0 R /F4 1268 0 R /F5 1269 0 R /F6 1270 0 R >>
 >>
-/Length 1276 0 R
+/Length 1271 0 R
 >>
 stream
 1 J 1 j 10 M q
@@ -5220,7 +5193,7 @@ S
 Q
 endstream
 endobj
-1269 0 obj
+1264 0 obj
 <<
 /CreationDate (D:20040826173731)
 /ModDate (D:20040826173731)
@@ -5229,43 +5202,43 @@ endobj
 /Creator (R)
 >>
 endobj
-1270 0 obj
+1265 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F1
 /BaseFont /Times-Roman
-/Encoding 1277 0 R
+/Encoding 1272 0 R
 >>
 endobj
-1271 0 obj
+1266 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F2
 /BaseFont /Times-Bold
-/Encoding 1277 0 R
+/Encoding 1272 0 R
 >>
 endobj
-1272 0 obj
+1267 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F3
 /BaseFont /Times-Italic
-/Encoding 1277 0 R
+/Encoding 1272 0 R
 >>
 endobj
-1273 0 obj
+1268 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F4
 /BaseFont /Times-BoldItalic
-/Encoding 1277 0 R
+/Encoding 1272 0 R
 >>
 endobj
-1274 0 obj
+1269 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -5273,7 +5246,7 @@ endobj
 /BaseFont /Symbol
 >>
 endobj
-1275 0 obj
+1270 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -5281,59 +5254,59 @@ endobj
 /BaseFont /ZapfDingbats
 >>
 endobj
-1276 0 obj
+1271 0 obj
 9777
 endobj
-1277 0 obj
+1272 0 obj
 <<
 /Type /Encoding
 /BaseEncoding /PDFDocEncoding
 /Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
 endobj
-1267 0 obj <<
-/D [1265 0 R /XYZ 72 720 null]
+1262 0 obj <<
+/D [1260 0 R /XYZ 72 720 null]
 >> endobj
 138 0 obj <<
-/D [1265 0 R /XYZ 72 720 null]
+/D [1260 0 R /XYZ 72 720 null]
 >> endobj
 142 0 obj <<
-/D [1265 0 R /XYZ 72 692.858 null]
+/D [1260 0 R /XYZ 72 692.882 null]
 >> endobj
-1264 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
-/XObject << /Im1 1263 0 R >>
+1259 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
+/XObject << /Im1 1258 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1281 0 obj <<
-/Length 694       
+1276 0 obj <<
+/Length 702       
 /Filter /FlateDecode
 >>
 stream
-xڅT�n�0��+7@)�RH��#@
$M���|���X�mT�Ē���CJIl��e��vgg�<��Iʤ�g:a�[�*��,ڰy�8�\è0�R~^6ݚ�>�I�
�Y��׊.ڞLwFF~�������rc������J��qn
�	)K€v�kJ^R6%wTB%�nJ(m��P����P
�)�&>�wh
���O9WC���� |݇*�C���gY���w[۠>J 5�OM�ڇ�M��1�
->�I�&�MʹL�D$lQ잍X��.��j����:`׏�u�g�ΰ�=��<6&g�\�J�B��;{A�_�t`]Cll<S���>KZ��JK�ػՉ_a*���!PDJ�Zd���Լ��o6(���~#��tp�%���=K��ŗ�E�~��<|���
�,~�B/�[�DR֐���Me��-�4����
�ܨ�c��盛������+Pzи-Q��%0 �o�
��m�,���O��VE[�|���g�%��K����s����Ij�x2��w�'��
S�#1�,��oo���b�����
]džG +�0؉�&d��&v7o�
�J�t��uD�7Έ�����>�)> D�8~Ў�,N���>�ڦ�%��A[���Qa�,�5U�*��U������ �ҕ+R��9����#
<Je��)�Z�T��t>�[�
o&endstream
+xڥU�N�0}߯� ��JB�؛���AՇ"�S/�ݰ��
�-ߙ�8�BR���x<s|�xl�z'�Rj!u��܊B�"+�L1�L,���^ʼn�JG�b
�)�M���9N�BG_`<��$����4N��љ��5{���j�y�c���RY!ej�AB�H�J�)����Bs���OC4WnX�x�
��v�*�A�@�px4_=���e�M���w�p��
�rZ0!!�[O�,��=7���a���(�e�}
�$��		j�ia�ȋ2�m!F�xT3}�|��}�C�pr=W�bٻ鉛z.�I |�5��C�M��ōt[䘾ٗ7�lR{�^�?��ͧ
f��<}��G�~�.��K�Nuf���812�
Fȟ�X�3�A��H��u�$
���
�g.HD;�h��k02?p��=�Oؕ�� �P�'�a?js�0�p���x
�-�=s����|

�Πj�Q{Wl�Cf�e��W�_$t�!
�o�
�2��{�̭��u`��I6)Hh

;�e��.3n�2���Q�77���yW�|%r��[��̣_
>�2}����.N�U�
+�
q�1s�o�F	���x�z.�����
��Si'H��]�+�\�v���q�B�,�YP5���6f�O������#q�g�����:�u���=C�ҳ���nM5mya�*�uРT�Ҽ�H*|�g~
��&endstream
 endobj
-1280 0 obj <<
+1275 0 obj <<
 /Type /Page
-/Contents 1281 0 R
-/Resources 1279 0 R
+/Contents 1276 0 R
+/Resources 1274 0 R
 /MediaBox [0 0 612 792]
-/Parent 1268 0 R
+/Parent 1263 0 R
 >> endobj
-1278 0 obj <<
+1273 0 obj <<
 /Type /XObject
 /Subtype /Form
 /FormType 1
 /PTEX.FileName (./figs/sample2.pdf)
 /PTEX.PageNumber 1
-/PTEX.InfoDict 1283 0 R 
+/PTEX.InfoDict 1278 0 R 
 /Matrix [1 0 0 1 0 0]
 /BBox [0 0 324 252]
 /Resources <<
 /ProcSet [ /PDF /Text ]
-/Font << /F1 1284 0 R /F2 1285 0 R /F3 1286 0 R /F4 1287 0 R /F5 1288 0 R /F6 1289 0 R >>
+/Font << /F1 1279 0 R /F2 1280 0 R /F3 1281 0 R /F4 1282 0 R /F5 1283 0 R /F6 1284 0 R >>
 >>
-/Length 1290 0 R
+/Length 1285 0 R
 >>
 stream
 1 J 1 j 10 M q
@@ -5909,7 +5882,7 @@ S
 Q
 endstream
 endobj
-1283 0 obj
+1278 0 obj
 <<
 /CreationDate (D:20031212121649)
 /ModDate (D:20031212121649)
@@ -5918,43 +5891,43 @@ endobj
 /Creator (R)
 >>
 endobj
-1284 0 obj
+1279 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F1
 /BaseFont /Times-Roman
-/Encoding 1291 0 R
+/Encoding 1286 0 R
 >>
 endobj
-1285 0 obj
+1280 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F2
 /BaseFont /Times-Bold
-/Encoding 1291 0 R
+/Encoding 1286 0 R
 >>
 endobj
-1286 0 obj
+1281 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F3
 /BaseFont /Times-Italic
-/Encoding 1291 0 R
+/Encoding 1286 0 R
 >>
 endobj
-1287 0 obj
+1282 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F4
 /BaseFont /Times-BoldItalic
-/Encoding 1291 0 R
+/Encoding 1286 0 R
 >>
 endobj
-1288 0 obj
+1283 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -5962,7 +5935,7 @@ endobj
 /BaseFont /Symbol
 >>
 endobj
-1289 0 obj
+1284 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -5970,61 +5943,58 @@ endobj
 /BaseFont /ZapfDingbats
 >>
 endobj
-1290 0 obj
+1285 0 obj
 9469
 endobj
-1291 0 obj
+1286 0 obj
 <<
 /Type /Encoding
 /BaseEncoding /PDFDocEncoding
 /Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
 endobj
-1282 0 obj <<
-/D [1280 0 R /XYZ 72 720 null]
+1277 0 obj <<
+/D [1275 0 R /XYZ 72 720 null]
 >> endobj
 146 0 obj <<
-/D [1280 0 R /XYZ 72 720 null]
+/D [1275 0 R /XYZ 72 720 null]
 >> endobj
-1279 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
-/XObject << /Im2 1278 0 R >>
+1274 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
+/XObject << /Im2 1273 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1295 0 obj <<
-/Length 929       
+1290 0 obj <<
+/Length 976       
 /Filter /FlateDecode
 >>
 stream
-x�mUɎ�8��+t
-�բ�unt�䔌� �
ؒl�DG�:����B9v�/v�6_�*��o�^�U$�D�e�?DUUi��y�ϢHb)r�Q�Nʬ��=ťzj{P�.ީ��z�y�]�����YI�4E�y�h�e���0���y���YC�HA���c��jac�y��J�/�7�-�9�1��"�����|?�cO�c��K�Y��-�A�!��D߃�G�w
�ཙ�
t�"+���s�b�(�}?����{�BT&>�u��*Y	3���ѡ�
OC�f�
�0�hh�
�,EG�
�b
ҷx0_R���4T���X�Aw
-7}�sdu�cv�\;��wtg
=�X}�W���{۹׾G_��L�7vr|�'�Y�
^oG|��" ��c�V{X����GF��(RmY��A+��R��i��0�d�
Dn_8~MQC�D�����
-9
-@��@D*
gb�KT��Ƅ�t�#䱁���D��i��sߙ� �}$���x��	�@Ю�H��#�r6�
أ�Cۧ.0��؅ڮ[T*`v���43Ez�54֭��V����)�Ѐ��]|kG&* �����v�@���Ap�d�Z��m9߲v�o7���[>|7���x����\K;򬱞r
�G¨��?�̹q=b�VWE��^؀�3�e�
-�18v���[j���׷@���Sx�����XI�"��D~h����+�5�Ti�{,,�w��"�>��ز����ܮ�+ng%,���m�͖KKG\9�P�
�QUIY7!��m��Y(��_=,�W�&�����2]
�ˋ��e�2���k���� -��, ʫ1x�.��s�I\�8f�6�G\$ȓ|�F�`��
�<�70�#Y�I�!]*j�M�-Z��
�o��woF��ͻM��bۭ�vW�^�'��%*M�W�i�Oz������endstream
+xڕVɎ�F��+x
	
9�p�-�m �Ɏ És�)jf�H�I���w���rp���U��W����kk�Ė�/�d�K�4�-LY%���i�ٴ�����ֺ2�
�ۧ���V�~�f�o���7xŭ=<����a��Y�q��u��EWUh�$�s��2��G9 �&
N ��ܛ��?e���1sm��?��G�����p��_�T�3פ��9b|"��[m:�+r{9�2
+a~_vh��

���/�Yu%��<��;��p��
ӊ��ڕX;H�jn���i��YKΕ�	�=����L�Z�ɸ��6"�U��B­��4��GH����У��Ɩ�S�
��v�-X�q6��/�|�\ ��(?��|VLqM�ݲ�=ef���Ұ�4cO�*�=jܚ_�	,�[<fE��Hv�"���&�5뾼k�D��,gY�a3W���M�(�ޮ�5��s�ڃ�I Pd;�Ab��Y��a:�����K_j�!��\��r .X2�m)��ܶ'5o�I&��R����be*����K���!�hg�;}(�]��d��Cv�a��2��G�j���-�2E\�
���藲	��%A�4�y�����[�
�n�C[�@��k�H!����e�)�G���1���ٶ�J���CI�냸t��K�/��G
#
��2�r��`�.ԛ��ʸ��oBucf�
k����<oPƥ�+�rf̏�2��F[�;oG3
����?��]� R`wH3_�J?�����H�Tvr����v��4�i>�����m�H}*N,㔘V��AFL�en8�
Ӕ�����3�z�x��,j��u
+)Ļ�;ލ+�7KP9�Ihw8����)|ݞ���Ϗ��ΐR�+qd�7e",���LU�s1�|Vp[�V�d���^@��
?�G�m#��ɑFJ��z�^Y(�Ilb�/J��ԅ����U�%��̴,���KP�����>y9�ޮ���,W�<~��'����U�ߺ��k���!��endstream
 endobj
-1294 0 obj <<
+1289 0 obj <<
 /Type /Page
-/Contents 1295 0 R
-/Resources 1293 0 R
+/Contents 1290 0 R
+/Resources 1288 0 R
 /MediaBox [0 0 612 792]
-/Parent 1268 0 R
-/Annots [ 1298 0 R 1299 0 R ]
+/Parent 1263 0 R
+/Annots [ 1293 0 R 1294 0 R ]
 >> endobj
-1292 0 obj <<
+1287 0 obj <<
 /Type /XObject
 /Subtype /Form
 /FormType 1
 /PTEX.FileName (./figs/ternary.pdf)
 /PTEX.PageNumber 1
-/PTEX.InfoDict 1300 0 R 
+/PTEX.InfoDict 1295 0 R 
 /Matrix [1 0 0 1 0 0]
 /BBox [0 0 288 288]
 /Resources <<
 /ProcSet [ /PDF /Text ]
-/Font << /F1 1301 0 R /F2 1302 0 R /F3 1303 0 R /F4 1304 0 R /F5 1305 0 R /F6 1306 0 R >>
+/Font << /F1 1296 0 R /F2 1297 0 R /F3 1298 0 R /F4 1299 0 R /F5 1300 0 R /F6 1301 0 R >>
 >>
-/Length 1307 0 R
+/Length 1302 0 R
 >>
 stream
 1 J 1 j 10 M q
@@ -8111,7 +8081,7 @@ ET
 Q
 endstream
 endobj
-1300 0 obj
+1295 0 obj
 <<
 /CreationDate (D:20040203162845)
 /ModDate (D:20040203162845)
@@ -8120,43 +8090,43 @@ endobj
 /Creator (R)
 >>
 endobj
-1301 0 obj
+1296 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F1
 /BaseFont /Times-Roman
-/Encoding 1308 0 R
+/Encoding 1303 0 R
 >>
 endobj
-1302 0 obj
+1297 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F2
 /BaseFont /Times-Bold
-/Encoding 1308 0 R
+/Encoding 1303 0 R
 >>
 endobj
-1303 0 obj
+1298 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F3
 /BaseFont /Times-Italic
-/Encoding 1308 0 R
+/Encoding 1303 0 R
 >>
 endobj
-1304 0 obj
+1299 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F4
 /BaseFont /Times-BoldItalic
-/Encoding 1308 0 R
+/Encoding 1303 0 R
 >>
 endobj
-1305 0 obj
+1300 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -8164,7 +8134,7 @@ endobj
 /BaseFont /Symbol
 >>
 endobj
-1306 0 obj
+1301 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -8172,77 +8142,76 @@ endobj
 /BaseFont /ZapfDingbats
 >>
 endobj
-1307 0 obj
+1302 0 obj
 57470
 endobj
-1308 0 obj
+1303 0 obj
 <<
 /Type /Encoding
 /BaseEncoding /PDFDocEncoding
 /Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
 endobj
-1298 0 obj <<
+1293 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [198.384 582.266 227.041 596.214]
+/Rect [161.283 582.611 189.9 595.555]
 /Subtype /Link
-/A << /S /GoTo /D (section*.264) >>
+/A << /S /GoTo /D (section*.263) >>
 >> endobj
-1299 0 obj <<
+1294 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [296.019 568.485 324.675 581.104]
+/Rect [254.178 568.5 282.795 581.043]
 /Subtype /Link
-/A << /S /GoTo /D (section*.264) >>
+/A << /S /GoTo /D (section*.263) >>
 >> endobj
-1296 0 obj <<
-/D [1294 0 R /XYZ 72 720 null]
+1291 0 obj <<
+/D [1289 0 R /XYZ 72 720 null]
 >> endobj
 150 0 obj <<
-/D [1294 0 R /XYZ 72 720 null]
+/D [1289 0 R /XYZ 72 720 null]
 >> endobj
-1297 0 obj <<
-/D [1294 0 R /XYZ 72 646.692 null]
+1292 0 obj <<
+/D [1289 0 R /XYZ 72 646.707 null]
 >> endobj
-1293 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
-/XObject << /Im3 1292 0 R >>
+1288 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
+/XObject << /Im3 1287 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1313 0 obj <<
-/Length 808       
+1308 0 obj <<
+/Length 867       
 /Filter /FlateDecode
 >>
 stream
-x�mUKs�0
���3��
�C/i����&�^ڦ�Yfx�@���W��v��
��I�����M�B�E��}�g��:�<��M��%q�c���&�'~B���y܇R��o�Hʜݶ�`�
�����g:N�7-]W��	��H�a���—
�D3Ӷd�85�M;�b?XvM_�]��^k3��3�צ�3��i�J
�M�k����S����/>O؈Ɇ
�� �#(X���.�K?�C"A�.�L�|0($�F�s��J9ۮ�{,����:Q$8�]\0"F7�S��-�����,(�I�9
��
_������gW ?+m��n���4�c�= l,u:c���0M
�T����0����!�v���{h*
��ǁ���hH�kܱ�b���F�C��*N�%u
�"����
-�Dk��������a����+�,x\��9;W1�T���)[ oM��1ދppV�"�K�ř���f�YZ#�Ra�
&�qK�?��H�X
-���"ni`ƞ��V�6H���J�����ÞN�
�U�.?^!aԾ?�
֥x�L�jg���v2N
��G�ѕ�hٚ0埚�����龙���f'
�xB�Ч�Hd��ʛ�k߬X
�H�Z�
��`:��ȴb��="w�F�T.8Oe7�����U�f��_
�7�0�A�[��S�
->�i�A�d�pͱ(T��/
J�8��S
��	B
s�h�n\m��
-�c��g��
V�d>n���~W��{l�o7.���Y�IH�G!tPu��)X�����?�ՇN���&�;ڢ5Wt����OMr

��!�� ��f���endstream
+x�mVKs�0��+|���=�8��i{h
\ڦ�`L`b���_������
�����W��嵮�D�\2[&e.�ΓB�BZ8Y�L�T�b�k���Z)�*+*S%���F��@��43֤7���ja
`u�� X^#
;莠���kk
�
�LW�M��i��
+~t�6�C[R�t�.`G��K�-�����>Ga����f;����1�����:7�
�s���`�ɨ�'VE.����C��'1`�d
K�Z�8���
C��X ���ʃT��˒
�k��S?�f��,R�ò�}G9��B4=
(8F>����=����n�^�{�oC�)^�R��-�I���
])b)(ܛ�'m�:#	��77<-P����{r�J�}���6>�uVl�!�^����+7��k����u�8r�#��71È�ԀFG
h�R�Bq~iQ�EM��CJE�*f�
+	x�3SIQ�C��}Cŀ��O��w�%���–~C8N���)Ul��^�f��<�{��Q
H��mS�qT��
�
�S�۬OY��<���0���0W���
��I�U`���}��6f	4����Ź���V
.��v?�+�	$��,��M_:��zM,$Wu� �<8��������?�g�b��񱒼4?Z6��6”���GI(
5":�ƕyz�ua�������(����0Lp��#�w�8�#����rP:9�N����{
�g��u����[�0��d���*Q���3j��;?h��Ƞ��`
+a��מ[��n�
+��� .�32�4�`~2Q�2
�Dk'���N��D�*e�5�=H_zC>������vr;In{Y�f�۫��K�W(g�BS5�S!�WF��endstream
 endobj
-1312 0 obj <<
+1307 0 obj <<
 /Type /Page
-/Contents 1313 0 R
-/Resources 1311 0 R
+/Contents 1308 0 R
+/Resources 1306 0 R
 /MediaBox [0 0 612 792]
-/Parent 1268 0 R
-/Annots [ 1316 0 R ]
+/Parent 1263 0 R
+/Annots [ 1311 0 R ]
 >> endobj
-1310 0 obj <<
+1305 0 obj <<
 /Type /XObject
 /Subtype /Form
 /FormType 1
 /PTEX.FileName (./figs/roc.pdf)
 /PTEX.PageNumber 1
-/PTEX.InfoDict 1317 0 R 
+/PTEX.InfoDict 1312 0 R 
 /Matrix [1 0 0 1 0 0]
 /BBox [0 0 288 288]
 /Resources <<
 /ProcSet [ /PDF /Text ]
-/Font << /F1 1318 0 R /F2 1319 0 R /F3 1320 0 R /F4 1321 0 R /F5 1322 0 R /F6 1323 0 R >>
+/Font << /F1 1313 0 R /F2 1314 0 R /F3 1315 0 R /F4 1316 0 R /F5 1317 0 R /F6 1318 0 R >>
 >>
-/Length 1324 0 R
+/Length 1319 0 R
 >>
 stream
 1 J 1 j 10 M q
@@ -8510,7 +8479,7 @@ Q q 49.20 61.20 213.60 177.60 re W n
 Q
 endstream
 endobj
-1317 0 obj
+1312 0 obj
 <<
 /CreationDate (D:20040203162831)
 /ModDate (D:20040203162831)
@@ -8519,43 +8488,43 @@ endobj
 /Creator (R)
 >>
 endobj
-1318 0 obj
+1313 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F1
 /BaseFont /Times-Roman
-/Encoding 1325 0 R
+/Encoding 1320 0 R
 >>
 endobj
-1319 0 obj
+1314 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F2
 /BaseFont /Times-Bold
-/Encoding 1325 0 R
+/Encoding 1320 0 R
 >>
 endobj
-1320 0 obj
+1315 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F3
 /BaseFont /Times-Italic
-/Encoding 1325 0 R
+/Encoding 1320 0 R
 >>
 endobj
-1321 0 obj
+1316 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F4
 /BaseFont /Times-BoldItalic
-/Encoding 1325 0 R
+/Encoding 1320 0 R
 >>
 endobj
-1322 0 obj
+1317 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -8563,7 +8532,7 @@ endobj
 /BaseFont /Symbol
 >>
 endobj
-1323 0 obj
+1318 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -8571,65 +8540,63 @@ endobj
 /BaseFont /ZapfDingbats
 >>
 endobj
-1324 0 obj
+1319 0 obj
 4855
 endobj
-1325 0 obj
+1320 0 obj
 <<
 /Type /Encoding
 /BaseEncoding /PDFDocEncoding
 /Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
 endobj
-1316 0 obj <<
+1311 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [207.456 631.831 215.301 645.778]
+/Rect [207.478 631.831 215.317 645.665]
 /Subtype /Link
 /A << /S /GoTo /D (Item.238) >>
 >> endobj
-1314 0 obj <<
-/D [1312 0 R /XYZ 72 720 null]
+1309 0 obj <<
+/D [1307 0 R /XYZ 72 720 null]
 >> endobj
-1315 0 obj <<
-/D [1312 0 R /XYZ 72 720 null]
+1310 0 obj <<
+/D [1307 0 R /XYZ 72 720 null]
 >> endobj
-1311 0 obj <<
-/Font << /F26 548 0 R /F67 564 0 R /F29 672 0 R /F76 747 0 R /F70 642 0 R >>
-/XObject << /Im4 1310 0 R >>
+1306 0 obj <<
+/Font << /F29 544 0 R /F114 560 0 R /F32 667 0 R /F142 743 0 R /F126 638 0 R >>
+/XObject << /Im4 1305 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1330 0 obj <<
-/Length 641       
+1325 0 obj <<
+/Length 674       
 /Filter /FlateDecode
 >>
 stream
-x�uT�r�0��Z������m�f&�*
O�h��X`f�#;i���J�����}
�s����{���m��]E�4�,#�c� r�Ie
��}�ܧ٪�+�r�l��p��
�)�)
F"Q�cn�ĸ:h�v��DB�PB�
/a*hU��V�b�3s��˴E(r���{��T;�|�gU�
�::�0-z'�ͅ�S(�	
-"��| CIW`�$DO���m�v�S�b�9B�$�9F0�R��8+q����It%&�K4��R>�q	at~&P��j��B
�g�����V9�\��5�2(}96��)��q�/MW���Z0��;,�+$St��ͅ]
d�
-�Y�P_B���⽱�'����
-���
\�
3��W7.ڡ�XiEWk�U���Y�e�X¾�@��<��0�o�<��z0~4�2��Gn�!�[��1�&�o(��-��G<c�#.Y��|��pj,R��7"���+ܸ#Y��� p�"�R�;p��7�p0};L��9c�x�|��J_qc��h)9�yO\�H�f�G�j��o�D�5���AISl��GF$�s�s�sOO��nK1��u��l��@ڵ��>���(�L�i.�T
F�%e�g2g�
�����Mȧ>x
�㒋f�hv���
�����1S�!�Lendstream
+xڅUKo�0
��W�(����n+��!��^�򪓦�~�H�r���v$����#�\�g�׶ƨ61�M���D��=�,�KW��������xպV����h���8�,:x��҆F����ͭ6~�o=���Y��K�x,*'隑{
+x���Z�p�5xu�m�o@�^���J"4�<!D�$�
q
&�5s�ȧ�\Z`;".�
^���O�F.�1������X�b$@E>%�$ʔE	�y_�\V1�+-[���x`�}���p�2��cB�`��y���O
zB"��޿�W�>�^�|C3��d��k��tO|R��E� 'K�
�;�J�&M���.-��
��$L*SK�l��t���ep�W?�WG�{�$ۆlcF���bݜ�)�q����!�����r^4�����ԏ��6p
�_���cU��Rg�5i�_(:/l
2`	���c ߉�p:��3<��W�)㔎|<2�+C����V>T
I�Q:���p��/t�c�$���–�#��y*�Y����@�˄~#}�r���>p�+�Q�\���K���!!]���)��uc�N�N���ۓg5[�c�f~E�;��>���}�ϰ�Za�Q�q�խ�b���G�USU5y�k�>N���f
�����L|�leB-'ثW�EN×2xQۘ] z6��
��endstream
 endobj
-1329 0 obj <<
+1324 0 obj <<
 /Type /Page
-/Contents 1330 0 R
-/Resources 1328 0 R
+/Contents 1325 0 R
+/Resources 1323 0 R
 /MediaBox [0 0 612 792]
-/Parent 1268 0 R
+/Parent 1263 0 R
 >> endobj
-1327 0 obj <<
+1322 0 obj <<
 /Type /XObject
 /Subtype /Form
 /FormType 1
 /PTEX.FileName (./figs/vertci.pdf)
 /PTEX.PageNumber 1
-/PTEX.InfoDict 1333 0 R 
+/PTEX.InfoDict 1328 0 R 
 /Matrix [1 0 0 1 0 0]
 /BBox [0 0 432 288]
 /Resources <<
 /ProcSet [ /PDF /Text ]
-/Font << /F1 1334 0 R /F2 1335 0 R /F3 1336 0 R /F4 1337 0 R /F5 1338 0 R /F6 1339 0 R >>
+/Font << /F1 1329 0 R /F2 1330 0 R /F3 1331 0 R /F4 1332 0 R /F5 1333 0 R /F6 1334 0 R >>
 >>
-/Length 1340 0 R
+/Length 1335 0 R
 >>
 stream
 1 J 1 j 10 M q
@@ -9316,7 +9283,7 @@ ET
 Q
 endstream
 endobj
-1333 0 obj
+1328 0 obj
 <<
 /CreationDate (D:20040203162858)
 /ModDate (D:20040203162858)
@@ -9325,43 +9292,43 @@ endobj
 /Creator (R)
 >>
 endobj
-1334 0 obj
+1329 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F1
 /BaseFont /Times-Roman
-/Encoding 1341 0 R
+/Encoding 1336 0 R
 >>
 endobj
-1335 0 obj
+1330 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F2
 /BaseFont /Times-Bold
-/Encoding 1341 0 R
+/Encoding 1336 0 R
 >>
 endobj
-1336 0 obj
+1331 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F3
 /BaseFont /Times-Italic
-/Encoding 1341 0 R
+/Encoding 1336 0 R
 >>
 endobj
-1337 0 obj
+1332 0 obj
 <<
 /Type /Font
 /Subtype /Type1
 /Name /F4
 /BaseFont /Times-BoldItalic
-/Encoding 1341 0 R
+/Encoding 1336 0 R
 >>
 endobj
-1338 0 obj
+1333 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -9369,7 +9336,7 @@ endobj
 /BaseFont /Symbol
 >>
 endobj
-1339 0 obj
+1334 0 obj
 <<
 /Type /Font
 /Subtype /Type1
@@ -9377,12270 +9344,43399 @@ endobj
 /BaseFont /ZapfDingbats
 >>
 endobj
-1340 0 obj
+1335 0 obj
 10246
 endobj
-1341 0 obj
+1336 0 obj
 <<
 /Type /Encoding
 /BaseEncoding /PDFDocEncoding
 /Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
 endobj
-1331 0 obj <<
-/D [1329 0 R /XYZ 72 720 null]
+1326 0 obj <<
+/D [1324 0 R /XYZ 72 720 null]
 >> endobj
-1332 0 obj <<
-/D [1329 0 R /XYZ 72 720 null]
+1327 0 obj <<
+/D [1324 0 R /XYZ 72 720 null]
 >> endobj
-1328 0 obj <<
-/Font << /F26 548 0 R /F67 564 0 R /F70 642 0 R >>
-/XObject << /Im5 1327 0 R >>
+1323 0 obj <<
+/Font << /F29 544 0 R /F114 560 0 R /F126 638 0 R >>
+/XObject << /Im5 1322 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1344 0 obj <<
-/Length 153       
+1339 0 obj <<
+/Length 157       
 /Filter /FlateDecode
 >>
 stream
-x�%���0C�~ōɐ4��$�$*��CE[��(��I�b{����M���m�y����<^�Q�W�[Tm(��â�| #��"� ����Ց��Mc]u֨�Jx���1�eZ*��}DۅP?�wV\ C�-'\��j������)zendstream
+x�%���0
E�~��d�;ώ Q	&���)	1P������{�u����{L9A�G��2�3A�'�׎�E�z�qɫ�4+z.;0�#����+�֯�nI��Sm����MO�����:�8���p���B���b�
�eF�B�v��mJ���+�endstream
 endobj
-1343 0 obj <<
+1338 0 obj <<
 /Type /Page
-/Contents 1344 0 R
-/Resources 1342 0 R
+/Contents 1339 0 R
+/Resources 1337 0 R
 /MediaBox [0 0 612 792]
-/Parent 1268 0 R
+/Parent 1263 0 R
 >> endobj
-1345 0 obj <<
-/D [1343 0 R /XYZ 72 720 null]
+1340 0 obj <<
+/D [1338 0 R /XYZ 72 720 null]
 >> endobj
 154 0 obj <<
-/D [1343 0 R /XYZ 72 534.172 null]
+/D [1338 0 R /XYZ 72 534.169 null]
 >> endobj
-1342 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+1337 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1348 0 obj <<
-/Length 1889      
+1343 0 obj <<
+/Length 1844      
 /Filter /FlateDecode
 >>
 stream
-xڍX[��F~�W���&��xf<���U���V��U
<x
'18�b;P$~|�ml����s=�;�3���ރgq�0Q����f�H�"6i`�hq�~�~��K�[�l�x����E�XEY�jKg^�S�.W�U��|�\iU
0����g&^h
d�!
���d	�~�,W&���[ �"�^h�Z�r
�T}Z��Ѕ�:��[`�ѢQE�
 ֗=��T�'Z���j��
�v�����g'۰Q <R�����9��9�7��hNGA�$;�G�6�"����Ԫu>�<��P
��u��vm�&�=�8A�K#� �&�u_Nl�8I83��Y��"��RoCŸ�`J�:�r�h�{d�2�V�(�}�U�X�(
L
)��.��{��O�s�i$����O�39 
-��U�7L�
��� ��ehPwއ��
/o�}UW�����j��� �=�� 3x.8�5���&{r_����xD���+�W��
-l`�jK�.��5Gm�㭉U�P�����<��?���D���H$��e_t��C����?���NI`�f��~�&:	���n� ��L� [��S���M�H���"r�od
&uc��bu�x�Q�z��	5[vy��[����/�.��[�!>"����E:R��D�;�wU���;��˳<�
-�H(�V�R�H$�h
�t�2r �yz �(��U�]��Χ
�V���`�&�
�?<r���@ّT
�A�x���bbb"Vu=�k�_�>�(�>�vyX_�5�L�oA&��}p{�m��o.:۸ �D�Z�-�Ѵ��1~��y�[��Ψ�����	�u%�b�;Y
v])�ۼ3�*���J X{�F�3�Y9�+;��A��tR�Aw��]��k
��!
�]&��I`�b�Y��!�2�J��>�ѿ:*p0*.�����r��:���M~�QW.�5:4�
�a\=�I��4x@��-_��D.LՓ�B2P#
�'�t�R�\��OD�;��pۗ"
���ߨ~x$p at kn�怉 �wUq�}f��)>1�����G ��qr뵆HbrF�
�#��ql��wA�u�H2��2վ�!;�p ��$P�#0
�&�YX��
-�Rd8�<�ߞBt7���jm+.Ӗ�O�|V�d(�Tv�&�������>`9|xA�XL2&����e����X^��?��
�
��]�����hŐY~�떝�&�(`�
/ѷb�;��9�ܢQ�/���.�2�y�B�SCD'��F��;�
���I�'\��$J�v�e�$�a�%�E�Y�7�
=�k�ʶ<� � �!�&`W� O�-:|̲�ƵI��+�)E�-:��PŌ{WzDc!��JTKx�wEh[ayAs�LsϞ��ɫ� X�ͻ��/B������@
��ڬ;�c	�,�QS$BOjF�'<ᱪF�3^57
��PX����-慲�x�x	�G0ć���x��%��$y
�����-?��a��[qyT�G]��{Iil.��=ֶx�����!�4��h�>�6�l�&ޫ��a�a-�z�bt,�M
�jg>9�Bv,�Kq,$���P�y�&�Oi�:�d	
-���X�a~|����8�n��mD�B��d���>7f��peF�D�)�����3k��ɶ�oSN��� ��{�|����5�2_�7����=M������m����t��6<�B'�V�ф��P@͌zSn�#����g,f�c��k�co��;
�If��U��s.�gO�)�l���R���S/�5���
�l.*U.�0�(����~
�E�=
lrs�
u�Yz�����
W�

4�T�;{�t�RS��|�Mm�،�d���n�_7Ԏ�U-����,������H�
Q��C����y$��]�������,t�)Xǩ�DZ�p��o7����Ƒendstream
+x���nG�pU	�[<��vwP�*��P*Ah�R

ǎ
�ބ���93����CT
���\Μ�m&ON�=|&��(#ꦞ��&��T�ژ��ٛ◩,�s���
+�,�ә�mQMߞ�:)'3�D#��|�~���R�;<��c-�?|��DJ�E:p��\�?�Mg�i@"�8T�e at du���)�
��a8����������0�~��-
�T2��£ ����]�`
�� �
��G��� wבZ�/r�5E�%a�}����ڂׯ#�8
d"*2�4˜��ǂn*fA7u�����%/{�_G�!���x���FB��f��1������
���u�tB��Fq����wi��wSp�9:�
��_�Y��ʋ�igIn`7�k��g�@�ت���u�әV��

$3*�)E�,
�
 X��4�U�
m�T�c��k���v�mַ_���>��<�l0ؿِ����Y���l9N�^��h|sV:
_uYcC�F��0�S��۠q�t�L`�^V�̹��\�0Co��~ �܃�	����2LS��|�.����� G������{b���nY
%9�j'��Z�"R*S�Ebm�ߧ�[|$.$jU	UwI�5>f!_��� d�=��˽��XT<4��5���ed]����m��Q��ZLU�7u0�)|�΀S�	i�6�689L��tKJl1qY�[�<�!b�,֝YCZ��gd��i�
B\aɖ�(�>ªZ
�hv��π)h��!��v ���"���ٺA�r�|����&�Q�
'� �<
�9��{z
ᜥ�����:�6#c��W�ilS�1mB�ԶK��ӌ�M�n��/�S6h�O�˰j"�6@-�+�^sU"�]��q�|�
+
��ϭ�q4�b��Cd!�Zh�ˤO"1�tY`��Bt�Ķ�� �8�@�Wk�+�3m�����x_��IjԻ��E�|_�a�S�䦯%L>��}*��i
4���8�����6�`G���
��
�n ?k;}
�i�}ńJ
�WX}{��F���#�l;�8Qf9s��(&"L��L;#S�^��)k�Ȓ*A�9� �
��*����7�DB�'�/5�
_p���g�mdz��7�,�'��w
�#��i�$�����f�e�rI`�f����S.�|8����.x��a��X
� Y�
�3Ɖ�ICͷ;?����D�ُ�����>3S���c"�/qLP�
��!��sJ�n��"�Y�$����Xl8���������o�d�%�+����WNgM�kLBЦ�u@�A�Ȥ�]� \�ȕ���tEP�Ꙧ@w�HG�&��
l,Uc
[�	���Cy6D9���e���[�
9[���;.�������
���b.
OA�Rծ3�O�<�}�s���ry��|t%�]�HRp��1
+H���짗��>?D�����<x��#Bx�:����q���ލ�  ���u��.�[�JT����
�<�>��C�#�G�@q'�
�{�.��qD��)I)
����*w�e'0���
�ӝE��
��L�6M4I����d
>���,��/=�\�o	
����/0�2r���ы�1�iR��Ŋy��0]�A	��[h�m��^�޵�hJM���w�Iihġ�&�Ԉ��2a���o�3M��
;�)?Ϣ��sp���[�Q�+	���m�m���d��k��
�%�ǖEUz
B��CfRcMQ:CN�!_����=��+K��B�>��m�Z��&y�ѷ5��:t۬��.���ڻb�<�����	$�>N ��<�݄�Y�/���ݑ�P�6t�ҽ�WpE%�
�Hޠ'�5�i��kl�?� ����������endstream
 endobj
-1347 0 obj <<
+1342 0 obj <<
 /Type /Page
-/Contents 1348 0 R
-/Resources 1346 0 R
+/Contents 1343 0 R
+/Resources 1341 0 R
 /MediaBox [0 0 612 792]
-/Parent 1353 0 R
-/Annots [ 1350 0 R 1351 0 R ]
+/Parent 1348 0 R
+/Annots [ 1345 0 R 1346 0 R ]
 >> endobj
-1350 0 obj <<
+1345 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [514.942 492.022 540.996 504.641]
+/Rect [514.986 492.027 540.996 504.57]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.2) >>
 >> endobj
-1351 0 obj <<
+1346 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [215.052 477.576 232.002 490.195]
+/Rect [214.823 477.581 231.747 490.124]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.1) >>
 >> endobj
-1349 0 obj <<
-/D [1347 0 R /XYZ 72 720 null]
+1344 0 obj <<
+/D [1342 0 R /XYZ 72 720 null]
 >> endobj
 158 0 obj <<
-/D [1347 0 R /XYZ 72 720 null]
+/D [1342 0 R /XYZ 72 720 null]
 >> endobj
 162 0 obj <<
-/D [1347 0 R /XYZ 72 460.556 null]
+/D [1342 0 R /XYZ 72 460.585 null]
 >> endobj
-1352 0 obj <<
-/D [1347 0 R /XYZ 72 363.371 null]
+1347 0 obj <<
+/D [1342 0 R /XYZ 72 363.41 null]
 >> endobj
-1346 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F76 747 0 R >>
+1341 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1356 0 obj <<
+1351 0 obj <<
 /Length 1867      
 /Filter /FlateDecode
 >>
 stream
-xڥXKo�6��W�!Z���E=�����h��=$*k�]5��V����o��J���Eə��Q�\?{q&gA�r�ϮoϲDE~z����c��|�B��t�Nj�$��1}eg>S�iV����Q{!�	�ǩ%n��u�z�-�����[�� ������}��Ū\�d{LG��JkK��������ie�ԟ�ZEib�~K޿^�3̕�
Y�$	���R\]��7��$,�ո��WY�5�ܦ^��ľ��v���Q��XGgkrw
',K�@
 �#b����
�2;Oi<�ׅ����;�dd�(���EG�[Sx(�x�}�ӛ^���i��P[es8@�z�ra�u�s�G}d*���y��A�v��'�s+[���~�
�w
-���d�Q|YB�^���fW�|C�w���~����
-���xjg���z���Z����O�c� >	U�;�?��b�<�T��z[���i�J2���y���qo.�bh7Bv�C/���>���#�hm� �n�[���q������9��:����s4������L#u�
48rN��6�Ы��ǣ빹�cG�vC���l��BH��C�����uyuG!)	�`�B@��o�W[�$��ޯ����t�Ɗ��q���ҡk���Z���H�\N
-Ӟ��lN�ݐ���)��U�
Tm�V�.̩���\�����sw,JC�����HvJ�'h�',|�n�r�Ƕ���V�/�10
T��}�
6�
n��9&��S[�H�,��F�(+FA6;�Y̫ΔN_:�l%���[���~���\k���m��X�j�J7��ج�T�_��gh�:�&]$Ut�I[�UHa\G�ʢ��K�������y#J����(I�Q�Ih�"X(	��4
'����K׫ȹQ at I0�yR�
-H4�\���0ɼ���/
����T��V���͂������Ba�9E�X�!S�b��Q#�������3j�(c��w��A�)�M;WƆ�]/��
�g�洌t��X��PH�~�!6�t4
�r>x���(����"�˙V
<98�]�a6��v�g���6�Mu05+�=��@�Aܘ(K{.���
V��c��3��M��\7X�g.�f3*�7:�Sߵ�;�ҾW�M��}��|ߝ�PuA\H�-�$�79�$�Eq��rKz��=d��+q&�(+�;.
��IuFS�(P����ʑ�(%�K?�w�e&�L.����C
�����|���{5	�
٤U	h�8�tf
:��"��6�HH1SJu,�QO�

-m>���ܓ������ܸ
b��zVu���/�� �(/��9X)m�G2N�;_q��@{��l
�T�?�+� �`,R[v��9
1��;ÄN��D`�P�O�RȔ��X��c�yq�
 t�7��s1'�������;��R+K�jb:�������,�]�v��
-^�^��48��)*:v�-V�T��PV��%��1l�"!�Ҫ�'�P��8H�3߭|���Kp��̓S�'�����H=�֌����_P�y�-4�n�(4��U�a_XL"Ui���9�Ku�/��T�O=
�����<#s�kp��M98��{�Bz�)�
��
-ZϿ=�?�c1
-���&�笾��-
'R���L89
T�" ngC��b%}�1Ϭ����t��ez�
=n�����>w��
����b�{����|{ۺ@i�`�t_M�G�N��݄D����,�����Y�[��$t�k��ն���d~�0
-
�c�AD��U��t�P&t_0��/N4���f����-�0Z��`�S��׌�w�1Ӭ��R���8s��+W8w�3[+�6�ۛz����7S�F (���3�e!c�,d�5����~�/�k��endstream
+x��YY��6~ϯ0����/
E[ M�E��-���#k����Jv6��
r��H�7�� � 9��������z!���]��-�BhU,ʼ��/�W�Z�L,ߜ��虔�͕FԺ^�~�0��s�.�j���e�
L!�1�ʭ�Y�T��
<�5{"�vp�˕�Eָ�6Lh��6�)������
�evpk��[p���%ѻp�
		�Gv��B��=�y/����	�T-��L�$MO2�z�
����Y��R�	��tY9��s��RH
?^�{
�
��b�u	�ЋXҘ�SO�
\«��=Z�ɍ]����w3T
�{��H�k>��J�� �����^��P�֫Zf�s��M&�X��Ё���]k����7+e+Q�<T�DU��\Y�?���
E^A`a�%c`轂q	��	�F�����
c�H��'T
>%ti��������~�=
���vB�
u�5	�
���Aᜰ��xP�SN�Kk�J�(v�d�pM�rC���^B�y�m�M�@\�O?��
+O�p�"����t?��k�[��
<��f�~Ch�0�=��o�<�Wc���&��f�;9wK+�%mM�FW���ڱ�T:�;�;B�&��� �n|u1�
?�s��
)S�I�rTi��!�Э���BT��I�+=�wǼ��D�ނmu�Oې
.���PA�
����0����R�Y2{�4
,ڴ|EEY-���ՑPu�-�Q�^o�� �
s���bMh�/����V������k��1�s4S��o��!���ȴ�x�Eo��Q�6��0�BQp~�ȵ��G�[��kb?X!�4�5n��	�; WSô��u�,=��R@������kQ��KWPbR˕��d�2=C��^��C�x
����0�k �)]�K��2[�D+�R������5�J��̽N|D�y��!�5�%�p���
%��=���w�89o�EV��S*��:"�7
0;$2O�8�ʂV���
�]U$���ٓt3�g��J�����1�scS���߮�ª8 �ǪT���
|��#�*� [...]
+}���-�E��z/���=��x�
+�w���﵋sB\5ꕠf��P��K�����#��P׬�G�Rt�?�n�Z�-G�M�5
+]��H.
E��e�`^P�%�TXnD��J����kY�b{@�_!��c��NU��׻���*���MUgOR>�%S�զ}s�W `=���#
񤆭06h�P�U̟��w8�I?
��	���o�U��©*|=����i�;����u|�T�"[*(�G�0��N-�4���dG�\�� �
�g��a��wv�#����f
�X�n���	1p�?���SC�P-2��r�4,O�
+���~��b��*���@fv�*K(�
�N�u��~�2ה�i�N�B넨@�
��l���N���
+�?�x=EFw��x����	N�޾����)�!��2�- q�����XQ
{2E��
+ߧ(h�
+}�褔��j�[��a ?��$����Ǽ��p�r���V~�X+��9���R�ٞ��8�3P'��V�9����(�Y���Z㣖UC�%����]Y
;�{��b8
aѤ��Ef}���������gʝ���)u�{��ڼ�Q�Qj�������v��R�C�2�v��T/3��3�z�`e�\�����h�Ϊ��p�)+
����i9Xˀ;$��|8�Xz��|צ
+�R�"�lY�>����h/�iH�d55�{�CoC3�]�P�
��T
+���o�>�8�:�&l@�ƕ0?�#�w�\�b��N4�n�
���ݑ���k�<BS��L*���N|���ϙ�������GUU~
��
F<=}�V�HZendstream
 endobj
-1355 0 obj <<
+1350 0 obj <<
 /Type /Page
-/Contents 1356 0 R
-/Resources 1354 0 R
+/Contents 1351 0 R
+/Resources 1349 0 R
 /MediaBox [0 0 612 792]
-/Parent 1353 0 R
+/Parent 1348 0 R
 >> endobj
-1357 0 obj <<
-/D [1355 0 R /XYZ 72 720 null]
+1352 0 obj <<
+/D [1350 0 R /XYZ 72 720 null]
 >> endobj
-1358 0 obj <<
-/D [1355 0 R /XYZ 72 720 null]
+1353 0 obj <<
+/D [1350 0 R /XYZ 72 720 null]
 >> endobj
-1359 0 obj <<
-/D [1355 0 R /XYZ 72 611.101 null]
+1354 0 obj <<
+/D [1350 0 R /XYZ 72 611.087 null]
 >> endobj
 166 0 obj <<
-/D [1355 0 R /XYZ 72 457.233 null]
+/D [1350 0 R /XYZ 72 457.221 null]
 >> endobj
 170 0 obj <<
-/D [1355 0 R /XYZ 72 425.801 null]
+/D [1350 0 R /XYZ 72 425.799 null]
 >> endobj
-1360 0 obj <<
-/D [1355 0 R /XYZ 72 315.684 null]
+1355 0 obj <<
+/D [1350 0 R /XYZ 72 315.728 null]
 >> endobj
-1361 0 obj <<
-/D [1355 0 R /XYZ 72 320.573 null]
+1356 0 obj <<
+/D [1350 0 R /XYZ 72 320.619 null]
 >> endobj
-1354 0 obj <<
-/Font << /F26 548 0 R /F67 564 0 R /F70 642 0 R /F76 747 0 R >>
+1349 0 obj <<
+/Font << /F29 544 0 R /F114 560 0 R /F126 638 0 R /F142 743 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1364 0 obj <<
-/Length 2452      
+1359 0 obj <<
+/Length 2418      
 /Filter /FlateDecode
 >>
 stream
-x���n���=_a��B������� �(�"v
�4 at i���P�AR���=ې
��҇�E�����7��~��,>�ZΝ]ߞ�X+���,�U����S��j�t�<�^��g�╎�
^�2������_�⳵NT���E� �}�+Vk��&�/� �}_�o7�O��ΣP�P�yD����<h{XԸS����/�{�y������
B^�Xe�$ z:6`��À��p:��)�m����L~��	��ɿ`���/��t�P��<����n�����Τ3���q*-��ڤ�C��Z'y]�4�
0�*�� �m��^'E�Xb��-<�k化�5 �X�Kb��X�M�k��v����6o��|�qer ~F��x����~6-^����C�'�N��'���*�JP.r3kO��BADž'j��7��z���UF�@
W��jD�A��<%�����x��"�
�Y�$F΂����C�D�yv�kP�L�t�
�(��a�#��G�"{��F\Ȼ�j ��jǫ�㱫+�m [...]
�4e/0�08���h'm�vd��(yx�]W�u? O	��,����&SYj����<�. Į��J�U2��V+q��M
۳�
0����vG�f�E
JL�t_o��u�.�� ��y^����D9��B���,_ �y�T̽��'oʾ��ԝ��T�l�
�r�k`C�N��U���
��)�&�*u����wG���9T�ۀ��;�A�t	{�$�~
��+���=pU���$���Fx�x݄�,��$2z��
� ��C%sDwm���*7lr��3
�=4��o���Kl}^�Z��8�+�08N���x���]
�T��
@��x%8>�'t���>!��=���:
�lp�j�
�b|���0x?�O���t}����lޠV9mI�D���d�j�?�0�U���(����a�v۪C�%�zbyA��܋X����@s�JΖr%�u��G��;��F֨���T�� ��&�l/�$^g3G�F���A�{~��=Pn��}Ԁ=���q-9���SD�R��T�H���5�}��v)�)T�]:zF
9���W�qr�ƛ^R�BH��v���
�}���
�?`��
��_��s1��-fŘ7�d��d�8�,lڅ��֧�����2��\�O?p���wr[3��@�D�
�l�!=�F�/2dK1n���t.��E�<N�Ȧ!��,�H�>��Ƿ��3��ɋ�OP���<������f@��0�%i�7�$ɗ�
[�)r
.�1���5,���V�80?���J�Q%n/dh׋i����f�Q�6���:����&
�y���r�%�|Qv
�L�3+������:D K+��}ݚe��*w.оoy�BŹ�H`@�l��*�a�C����9Ȗ$�9�2q(�i��k�����
A�JJgMa�h0y=�Mó�ف���"I$��R����Ԙ��
T\l6��S̳u�
E#
-y�T
 k�Tg-(n
8`�@
58��|w!�N-�kُq8���V`KT�Y�Gz�h�'ih���?��}�?���NM
��¡9�Z�鑹n��㒭j�b�lV^p��Iʋ�..@�7$@��9(*�
��!�\�pݒ���v/wp.�]���� ޢr����J����1>� jꞃ4?έ%��`.��
�
:t�~$�v�.�klX�ȼڼ�\b7��8���W#���'�Y���9F�
	Bb�R
�6� 4r�4
�?Em�V���~9��3� ���
�A���;�v���=,.�"�v
 ��{��#6L�r�,��G���'R%�e4l�ږ�D2yΩ0�J�iKje\?4�@=j#n�"�Uŋ+i���j�=�+&i�"�l���R���
@� �XG�>�8�=��g3�I��ДTep
�+o���ե4 �l޿
�pV at Y�0����v�fǸ1r��9p`�
_�1).���$�ثN��[�c�[
�ݑ��Ns?/���(��؀d8�S���:{��[q��
{X��:��A
-�i��p'ʁ��VZ�oPT���.��!�M�̎,��7�R�u�B:c�(���O>����m
1��)�Q;�(8w%wV��:�D��y߿��������� 3�'�r$4
4��+:�V���`lH��e)B���~
��D�|ڠ97�z��g��Ĉx���r52 ̋�W̄4�?R���ee�ȳ 
w
SAL
-��
(fj�e
�~�Y�)Jb/�E�a}�~����m2��~YjȨ�k��t�O4/_
-z��
���E�Oz��۰������P�ۃ:�Sd�|�4$Кy?C�����4��t�����
���bP�N�y�S
(�o�����I�H�$:���YP��9�(�:���ny�#NII�(�Ė2q5����c�<���M9�
�]��^��~����endstream
+x���n��=_a�+a=��:�b[`�[�"�}(� U��F�
Ɏ���9�!����v
��h.$��F�9{��_�0'�3����愷�	�O�ֲV���w��.��bn?.��	�kx|��n
+����
�6L��g;iO��R�����p}�l��Ԯ[�)��
+#�p
�����u��s]�]����|�k���e��
<��%
]�7���*�τʚ��SO2�-3�-Zx+:O�]��
+�U���޷t}�ɚ� ~��z�8����l�ʂ4�єB4��ӄ ���p�&}W��t�&|�h�#�O�
+�E�}#eǔ'�0L���-e]™�l���ɈӆpZbkt+ W)}�u���LÖ�e�EI)���p�� �e"��]
+
b�
�H�p�g��oM˂���r���{� �{��J�_���}T�>�
��ӱ61�?�A�;�2�Q�ΣƮ
+#@h���'����K�=	{Z���&rz@\� �|���
+��pd�%�nT���*7,� 9	�g�`3^��q��y�M�pN�}�//g�ϓh%�
+bQ�;�J�Ĕ�0�7��=�[4�~![͹�}�k�
�FN�R㧚6K
�Q�����8Ud�r�O�ο��톸�7�C�z��p�	̊ϑ�c��
+�P��
M)��f��5�șj�؁�\?I3ƽ�㲎鮔�z�T'ji0+Tl��SP��qK	�����=H��8W�Y���A�
�6yA�d�%�"��d��y�Fn�H�S��8ͻ
F����@�wd+�������e�
+JE'��|�Rø�fKf��f
+�=�ə���NG�:�8$F/4�K�
�˱7�w��ld�I m���r�F�x���
İ(�◥98oq+R���Nk�m�PK���\NȇD�9����)���#f���r�RM��"
������oS��NYT�?��B�P����P�%��am������n�1U�0�u�EQK�D�GkQ)d5�����{Dx3J� i��s��h;} 
f��|�G(ԼmQ�:�S�\3.������J�W_�ۉ�E3:~:�
�����6��7�<z���@�E����j
UccC�n��U�/�v_���\?�2hnj� )�T�Q#�"kJ5��Q��(�
0�Բ��ܞ|��{M6�{"�
<��,c><>�c
ۧ�O�hw���

�\�{*o�O�1�Bs�'W�g�h��tٴ��&sM
	�v?Cp/����Y���d�
8%�<�M�g��|.�s�U���F����%?�B�s��a��F�6�ǵzL�!kw����a�c[�IZl:��xN�


��Ͱ+�u|d�M
uC��M�4C@�!�{�^��h�%$s¼,� �HƑ�
+b��^
��+7���z��9����&5^F
�Mc
�)N�g��s�'�	��f�-l��H�X�by[w�S~K�ƥz
+�v����bM$B���M�s��>���)��\}
Q
{���2���v9�+�U�:�rwϖ|	�;_��w��R9z�͜լEjD-� �i%�0��0���&�^7۱���{�H��
}.[��®l�K#�Wl������
+�RgX�g3�W�+�ڲ���S|l��>��qI�-�'�f��D�#�6�Y�
6����
+�
��A!��AIQvK��'�ǫL�Q=´"2x��(>���$�
nC�6�:��0�m��뎰��T��\{&�Y�u
J#��
�X
�]��'#R�
E;Q�1����U+�T�Y�͕���6�Myh:O�F����f�#�RM�
k��-
�rt�#�i�.�O�©��u���NT�ml��H%�
��}��$_(\�vv����3���hg�|�N����F��	e<	xe�8�}�
�2�#ԙ1YCh��6��WoRO�r��uE������U���
��>~h���	�(�v������S��Ǡ��7��T�y��q�|�e�k���8�H-y�Ym�&�_d� �ۘ�,����Ha�hw"=�	>_�RP?4�6w��
 �H���`�u]�d�U
m9�^��#X�H��(2��Ƭ;����7;�ZZ�a�tD4�sf��������&���=R�Q��뢢���x~�t{�q(-r�|�MpH,��������!����d7>.��^
��N8>�;�#

��󀞏�' L��"�\4�dV���&礱����[�Mu�w�8%?�#:RO��$��4��h��䂏�Ƈ�kz��J��ӓw.3:��O�S���g��|{
8�@��
�u����Hx���Ӷ�^�c�V0
tq�;Q#���b�df�D5�@YϜ�tn��mE�u��.���#�Ǵ�w�Q��'bk���@��cPX��*��J�
�v��z��ث,���1R>nnG��.�r�ASiCN��L��$|ƙ(�T�8����5���V
}��٫����endstream
 endobj
-1363 0 obj <<
+1358 0 obj <<
 /Type /Page
-/Contents 1364 0 R
-/Resources 1362 0 R
+/Contents 1359 0 R
+/Resources 1357 0 R
 /MediaBox [0 0 612 792]
-/Parent 1353 0 R
-/Annots [ 1366 0 R 1367 0 R 1368 0 R ]
+/Parent 1348 0 R
+/Annots [ 1361 0 R 1362 0 R 1363 0 R ]
 >> endobj
-1366 0 obj <<
+1361 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [430.337 217.139 447.287 231.087]
+/Rect [430.331 217.139 447.255 230.973]
 /Subtype /Link
 /A << /S /GoTo /D (section.5.1) >>
 >> endobj
-1367 0 obj <<
+1362 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [374.146 202.693 387.845 216.641]
+/Rect [374.142 202.693 387.826 216.527]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.10) >>
 >> endobj
-1368 0 obj <<
+1363 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [296.149 188.247 313.099 202.195]
+/Rect [295.841 188.247 312.766 202.081]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.2) >>
 >> endobj
-1365 0 obj <<
-/D [1363 0 R /XYZ 72 720 null]
+1360 0 obj <<
+/D [1358 0 R /XYZ 72 720 null]
 >> endobj
-1060 0 obj <<
-/D [1363 0 R /XYZ 72 669.249 null]
+1055 0 obj <<
+/D [1358 0 R /XYZ 72 669.251 null]
 >> endobj
-1369 0 obj <<
-/D [1363 0 R /XYZ 72 184.715 null]
+1364 0 obj <<
+/D [1358 0 R /XYZ 72 184.715 null]
 >> endobj
-1370 0 obj <<
-/D [1363 0 R /XYZ 72 144.939 null]
+1365 0 obj <<
+/D [1358 0 R /XYZ 72 144.944 null]
 >> endobj
-1362 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F32 668 0 R >>
+1357 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1373 0 obj <<
-/Length 2437      
-/Filter /FlateDecode
->>
-stream
-x��Y[��6~ϯ`QD�����v�. �Ї"��X�-g���$g����
)Q
Nf��þX$E�߹���x������RJT�]��^)]�ʫB�BZ�|��~�r�f��Zec����t�k|*h�h�1�co���Oo�
�A�?<p�o��ѻ�~v�w�5��+\z��+[	�򫕲�ڜ`}�=�'�L

::&�*�
��


F�i���;�?z�k��q�
负q�E|��8��Y���<�i�ye�(.0�� ���̔�t3b%u4�HN��]�
�|I�{
����������
��\��18��?�
p��/~�;{T� p����<򪕩D����V����unɾ+[V���5	 ����A"]f׺@�� J�������/8�R��~�3���5
Zp���ѫJ(��
-�o	���^���C��GFW��0s}��B
oP��K['���O�˵�A�۶kx]!���O�Ě�(e�����5{�0)
���]��v���Q8�����ͳ�
��N�>}	J
��R�F/@�_�R�젅R�7䂖
-r�k�sO��8�x�
.
-"ѿ�
��2��ғ=ʧ�K���9��	��B��~=t�r
V��'
�oӼ=���� ��†]���Ϙ�[O�
-%���=
bpa:�>$�gͩ���VZhVʇ�2N4'~����'r	�А;Ԕ%V67>���=�"B�
Q�� ��q�f�9�~N����P�l0�D���i������������~��D���?C'��
��dr��
����!�0,y�4�z8OHKm���Ց'-�i2�1�"'�_PߣO �i�(��8����}�)O)~�s�)SmXQS�f��,��Zʙ>ס@�&
�E�B��v�`X\9k�wCC����Y�
�7�[�)��9E��).o�K���8 
�������$L�8��
c"�Kd���#exT���Z�=�{T ���� �"{�^g��.O9��OsJ�0���Ni�9a�②���
���h
Z{��
ȾI/�Q 
�ȩ����w}���������3�}Hx���&�=�-i��}s<��U"W���/i���"��Bv��ax��'�t6
���G�ơ�_����з͈����D-+3]�N<�=v�=t�
�+�b�;n��s*��<Z�a�NFB��<�� FZ#�;��7�M�
�1T,��f��p�+��D�fl�}K,��ȏ	�y)
-��3��\�ra1�bt�`���
�
-%%`��+:'��u�n���)8��	�d��$e�o�>#dn��ؒB���^xB0�67��!h�t at q�	�����-�	���wO�4r��
�,3b������Z��8��HYN<i�u��
�߻�_כM
��v񛠄	�Έ�
-W�V�g��0�	�z�.���j�W�c�M�I���R	����rҀ'��t>�yfyq%
B#U-T���?xh!�Qk��=j�7���#l�tKK*���~��ľ
Ԍ�� �f�~�ʮ����ly�*}��x
F]�#
-74JJ��
�
�!W,0M�!��6�!u���
M)�<\e��&</��G}s����]t0.�(�s� 
GW�,b�C�
��!��J�!ٿ9]��A\xx\����sj]�<<�����^�o|&�ט����ye�@�|�����0>���m��H��̀�x񟠹Z�B�^�8%(
]3��

S���@�mtψ!����f�Bb�&O�+h29S<�
-
����
I�M���v�2����/�\�>�����	���;��ȧ
i8��'����|PZ�pԥ� |�����(
tL`�H
�Ą́��
�޷�P��N*"�b��2G��+��$����\�"��� ݲ&"M&���!&�4<���H�?�����?h�(��Q��p���x���&�6�h��X������#r5�
-�L��K)"#U;��T�YAB��L�G����E�7'�S,���PyH�xE�
-+m�ȁ	���a
-��X���]qÓC%f
�
�W��'_���9ubJ���Y#@��^^r|G�d�Y��`
-O�����Pخ�1��
�T�

��=�2�AL���}����j<.`��DRO?�*9�2y�;_�@ba��4F�k�PC�&��T�Z�)�ȋ�޾�˵�eYsJ�M=�:pU�(���`�*�"N�R�s��BpB��
&�X�Š*��szEi�R7�-�JꪔB:���e�O��T�,�
�+|&��ϨA�������	��=M�
-qB�XZ�V���Yq��#q��8
�A�����r}�e�7�*�$Z�Oc1q�IyZ���Erqx��~�P�DQE&�t�(��,e>�"v
��5�'I�Ÿ������	�n���
"3yqQq�kdd���%D�*8B
�S.�O��rE
�@u]�����:�M(�"�:ľB_&�����S�I�=��z����b3$endstream
+1368 0 obj <<
+/Length 2381      
+/Filter /FlateDecode
+>>
+stream
+x��Z�o�6߿"���s8��Ķw@{�{�P�=���(mЍ���M��
�!9�h9qӇ>�h������߿}��k.���j}��悋�5��h��5
+���-�u��\.�.�b�
�
\�p=����
��������%��5�M�$L�{lp�-\a��&�Ik��$�?��υ��k{��)e<'�pc��O�w��ѐ
CR�v���q['�>
��_�h���pm�u��	��Sx��w��o���5n��bI�m�d��R6�j�gTp ��=�%�u�7�=�^"�-���כR�KV��8MF����
�;\v��4NĈ�w�w3�$j�S&h�Cw(X���군���Ҳ�若�!�zШ��m-Ug�/;�ؼBd
B
�
l�@yv�wI��&!-������2�_P���ɨߠ�){���Nk��
����
+_����� .��C&�@X&�ĩk�;Z�u���f����ŝ�V
�� '���W��-���
+���!y=.�����6\����u@߁p'�)L���[��E����F�`J���.�R���F�(O<�x�'�„O�Z� *�Նq�q���U�2޵�j�P��Z�0#�S٬�V*�
|K��
Lߣh��=��T�R ��+�bSU�Q�T���&o�Lb=�ZQG�u0�H��#�k�����

K>�u4�?�۷��2Gh��I��)
�W���0S�;��Q���l�
�+[�%���sռY�c�x��毢&��� �j�$��L늤�"�8�U�

+�0'`� Q�0r*�3�S��<�{��%�M���Q���u8[��l�k����g�
�6�$�N�<�
�y���<
Ef���(O#��|4
C6!%
��f��@��o��8�����jO�W
d>Qbt؊kO~�Y��X�%�Ib���k��G��~D��6���oq�_��L��)

��{\M8�!ܻ'�۠�
��>�I7�e
�
"o�������wLI]s����T�0:�NU�Kk&51?��!�ߏ-�3v���<�\;
��xx=S�Ť����W����cN;����Z��I�Su<Ŏ�դ��#閕�P)@�����X�ҏPeX��x}�w�$��*�×~�K(TW�t{_-
¯���3��n��u,ibA>8�߈$�u��Ҹ��
+
� ��o4���z 3R�
	x�V�
qO�.�(�e�q�8,��&ė�=�1��
���;�;t���V�Ը7
3�"e�<�עm+\�X�9s�&2�{���'Ǹ���!x�6�m �)b��d
WcFJ.4��W��u���v�
Pd��)��
0jv*�N��0��p}�
I��:�
��{[t�XGy/u'ek'|9�m
�p��~�	3W��Ǿ���~�9@ܮ�.z�v~�EA�:���L;"9G�1
��)HX&�Тj��n�PD''��.TBA��;��11��[��p���T���j]�R�b�
w ���~E<�[�o~�}&���ԁa}�:q�U�
��/�WM>�)�~�
��
+~nG�~��5���$P��@;ʨ���=Z}V�G�wUc�
�2�Y(Z+>fH7�
7����w
ajRy�^��
+r�kf�ʑ��(^w�*�������U踄أ
+aO �.#�:,
��)U5\r�x�h��|�o�C��|:��)�Z�6=F��z�BD���
�VG������a�+iiͨP�����
Q9

���&	�GH�Te���:
yxC��
|$-��ޛ��1�'������y�U��;�-�W�
���×.���.�u�s���@*���p���{�����-8��eײ6�k�t7�Z�iU�}"UN�\O�
Ht�$�I�Hq=�Y6�h B��� �oڲIWn�_g2Ya;BӴ
��ʲ(�c�ۆ�J��
��0a8�i�í�w���w��� z�b5��G��b��B|�uL�V�R�fg��d\�>4���.ӻ��;(�����~�F�ì*��=Li����O.H���J'0��Y���A�P&(Q�h=Q�
+B7����X+]���/�~��*̍���O�T#{a���ؐxѽ���n1�	ӳ
�4S<���7�Kn|�H��|���̪K�D>��&W�ʱP��O�V1c���~Tj���������͈ئ�[
�@�G-�3-�,�9�#f%E^�����i꡾t#��f�X3��2��
+f\M�����t<���&h��c�ŏR�m��wO���=��{x]�F����;������
�����M
]=W��/,V�g�U��J
����_�VY�W�YM�h4?~D����ˆ���c�=�t��*�M:J]򦵹��)������h�|ۘ18�V�+5#�Ƕ��1����gӚq+
���Mٟ'�
�!��ى�Ȯ�5f��y�<��0�uS_��������endstream
 endobj
-1372 0 obj <<
+1367 0 obj <<
 /Type /Page
-/Contents 1373 0 R
-/Resources 1371 0 R
+/Contents 1368 0 R
+/Resources 1366 0 R
 /MediaBox [0 0 612 792]
-/Parent 1353 0 R
->> endobj
-1374 0 obj <<
-/D [1372 0 R /XYZ 72 720 null]
+/Parent 1348 0 R
 >> endobj
-1375 0 obj <<
-/D [1372 0 R /XYZ 72 658.066 null]
+1369 0 obj <<
+/D [1367 0 R /XYZ 72 720 null]
 >> endobj
-1376 0 obj <<
-/D [1372 0 R /XYZ 72 241.461 null]
+1370 0 obj <<
+/D [1367 0 R /XYZ 72 658.076 null]
 >> endobj
 1371 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F67 564 0 R >>
+/D [1367 0 R /XYZ 72 241.467 null]
+>> endobj
+1366 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F149 920 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1379 0 obj <<
-/Length 1642      
+1374 0 obj <<
+/Length 1707      
 /Filter /FlateDecode
 >>
 stream
-xڭXK��6��W�!Z�VHJ���@h�CQl��@�2

�%W樂��,�j�z�����8
��7��c���_[�x�-�U~�,b��*������Ӟ�ܭ��cƝ :A�����J+���sm�,rH�S��
�<��z��U0�~
?
t4|����o�U��خ+
�a1�^�NF��K���NMW��0#���1��u����:i?_]��<�V�u/d"ɴ<t�N���k�.��}�Z	��kp�q�?��J�{,P�R�M.�鿛9g���M
��-�x�?�Yt��M���	]�6��0���F;�k�N<QW��@�w��p`�H�Ɵ���'��u
��~����Hl�Q`�����`Gܮ&�V�����Qf�뵞r�?���Q0q�L�����J����5�Ϯxwo�щ_��m�X���0~�H�&�Rq߬�K���#��7�
u�ҭ����M^�<����Z&>�ɷũg��8�;/G��>��0�Cx��缐]�ڥ�4�[�^Ik1 ��D^���n
�q�ji5GpX��OJ��L;Ĉ���@�V��:0��JhÇ}�HW��2ks"y�#�>-
-�w�q����N�3짽��
�8EP�JAM蛈��d��IrG�|�29�>�”|�yt��D�k�vuə%
&q

9
�f/�TK@�$�x�����.
-nZ����ZL��גr��먎
����޼�O(�= 4<M�r�X�
-x�J��I���Y
G��z6
��,���h�
�uB�%Kd^��>�W�\��JWO(\ڟa�J"�
"s3����!T~��"r��Ƞ��g\S�x)1���y�j7�s%ێ��O�;�TO=�E�kk���F�pP#��\�ţ��r�g)�����J
Y�}9�����o���E���)�!Q
�H�9�-Zb����7#N���-11^��� 
D-���e�:_�_&���偢
�I��YH����
�|%η3�\'~
jQ��q��e
�GfHQ�Цr���2�rJ�z���oۣ�LP�Ye����g�� �u~�a����h¯�� 
-5Z
-��ḾObI}�
�Ѱ췞2�
��_ly�ȿ�)r�ZXiRn��k�q�Aj�G��τF�~��[Ϙ�Yc����K'��ߡ�{W�OYמ���T�j��=QqI��Tu�q�ۙ����+S�'�������/�Q�
����C�u#3��\h�%����[���c�����4�{7��gL#o���r2�Ы��w�����mg�gg��JI/�1����[)��������tg7�lܩ�
/���z�c�|0�!�� 
َ�p=�(�*0�
>sDkc���_�׹��uĦ~,)�p��i
����;�*��sJ�{�� �T�C��\
a,��
9�%��*|
q~�
�,�:�C�([`F��u�[�{ɟ
-Ѿ��4em�eP�p�\Pi�>� .��C�xeN�'�u5Z��Y�5,9��XnR56<��{����pP��Ə��U���h�eǦ�1l��#���7
E���N��!�.���Ɍ
-Nz͢E> E�:��̫dڽ��cᨬ1�J����� �m
H)���ɡ��Q5�ʲg����
��Cc�eh���%p�T,bKy;
j:xI���Qo~yx�_�!endstream
+xڵYK��6��W�^ fė
A�C�.�"���=����Y#��Z�n�_��P"%J�h{,����7�
���՛s�򙔢�vv��I�	�̬�J�h���_���kx$<�g
+uۤ�M������g
��b� mx��ܑ�gx]rӁ��R�
�|�l�����o`��3�����Y�
��E"O�PV�@z@
: Pv�PE%�B��c��O�^�*�v^~qx6�

�"��]�(U�'��
ωA9t]7���+x>�.­!|��k�P�P����}�M[��f3���i¡襴�Q^D�����P��
k�
-!d������
�ܻ���Y
+m��sKA�
&����`~Q�֏!"Nn���_3W

#{`k
�_��0�uy���w��u$8�O�s���}zך�"��z=�~��E��6�d+$`
a�*(z���p
x~O/O��1>;�t&
+�e��x5�}Z�'ǽ9Wa�Z�Rm��TBi��W ��d�_�6�	fUb��}CY@�
���25	�CdĨ���lZ2n�=*�WA�P}�zD��3�
OS
��e�e�����z�p��~6�q4�m#"��S�����7l�Gj
�U�
�w%��/�
�ظeAG�V���N�����r\<��d�ŝ����'6ǁ
�֐@
M�l���)g��I��m�c����"0���Z��,�`�����Jf�%��gy��p.�2��!��օ1<���;�e;�_��:8��6H� V(s�0B�ʵ_��2(Rrfm���6R�r������Bẉ��ԥ"������[�˰/&��Q

�)��h�bM�c���$�KO��^��[���^}ͨ��۰>SL@���ӹ���9k2��Ns���J��4���ߍ�D\�·;J��h�vK�;Z�Fܻ	\��BB�L-u׼�j��һM-U���~��Oh�U�)��*�3�H��xe��_zp
����1*3� �,9Tnǥ����� [...]
+�;��>TQ�
+�:]#��x���
�
��	�
~����-;A���Sw��m;;O���z�P���ߦؒ=�
-�W���P���������=��ZNݱ�w��z�{�g ��1</�^k)J�����V�V��2������Xh�am���ec"^7A���op�G����o��M������j���
+��O���X|�d|Te`�Bk�ߌ(�W/F鿿�h͛���M�b8
8���F���^�!�(�I`$An�_Ȳ��63�0���n�t�v8I�
�B,�*U�~�߆.�_���&���5���J$rY8�r�çܧ_��(3π7�
�p߁+�ؗ;�!Z�L5r Ɲ�մ�����
���E��߀��e�?�M<a��Bk
N���;M�S�7�(
\��B�>X�t��M����`ǻ$������?��M�R��}�Z�i�A�?7վNt�>OGtK��
����x��~�D}D�i
+AG���H�
���f�@o"<�0ó�	��ܷ�^أ�G��Mq踁��C���q��ُ���ͽ;"�� gC}�?Yt)l�+xW��
�c� .}��6�N'&Υ0�h¢���(c�-*~�W0:��̫DY��
����y��ū�J�endstream
 endobj
-1378 0 obj <<
+1373 0 obj <<
 /Type /Page
-/Contents 1379 0 R
-/Resources 1377 0 R
+/Contents 1374 0 R
+/Resources 1372 0 R
 /MediaBox [0 0 612 792]
-/Parent 1353 0 R
+/Parent 1348 0 R
 >> endobj
-1380 0 obj <<
-/D [1378 0 R /XYZ 72 720 null]
+1375 0 obj <<
+/D [1373 0 R /XYZ 72 720 null]
 >> endobj
 174 0 obj <<
-/D [1378 0 R /XYZ 72 169.219 null]
+/D [1373 0 R /XYZ 72 169.219 null]
 >> endobj
-1377 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F78 924 0 R /F67 564 0 R >>
+1372 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1383 0 obj <<
-/Length 2181      
+1378 0 obj <<
+/Length 2235      
 /Filter /FlateDecode
 >>
 stream
-xڭXY���~�_!`

�h�"}p�]��"�y/�
�5bF"'lJ�������"G�fm�Ab�u��׻7߾��Y�E���ֳe4[�$4[�{�|��w�GK�T}�ɼ]��:��k붑y�җN��YU��z�����?�}�
Fx�e�q4
͡��^W�_�T�o�Ƅ���0�
��z����<M����5A0��"1Q����ؑ�;,�]��=������M;gȝ̷��/0�����|�?I2&�7@��?{��8�(Q�
�@8��[[u���[Y����3em䅷�u�(�$̐���Yrt��s�8l
�?_$Q��j�v�O��~�J]�;pc
Ҁ~�%�d~�ze�o�^,�p�� ;@%L�Q7�lg�_��D~M�3��8�<�5;��@����ҫ�-���ʎS!���a��
�+��'7���\fdb������sIPT���/�0q�,�C\0�}�����қe$�h��}H�H�B��5$V����9�$v>�|V��4I�F���f�1�	��
����e�����5=a��<�<��$�Y��;��:��x$\=Ȝ�x��b���\a�z`��|����w�~��U0A� �ȟ�,�)�,]�y|d�_���ϒ��i+�����^�������D��m���4���>zq�/�����g���
֜l1Nx�q�A�[������T�;������"|�?���
3L��H$V~X��A>J�

�$�?D2�˔�f�HM�OD'��a��e8C��_��Mn.�:\�.��N>�O�
�|��,"C3%
N4J�w�0��Լ�l���8ė2�Lоr������
-8,%P���ΐ0!
4�
-!
�c�oڽ�#�Ig{٩:S����q�IN�(Fbo-�h4�B�X���u$
��~�����#0���^1��-B��_]L]�a
�����Q�EnD9b,M
0;Xf�y�
#'AyL[��?�U������0�r%:��4�
�,W
��f�D�4��l�R3��ܩ�E���Ea���Jy�4 X�d�W��


V�:k�@kM��FM���<�.�gݰe^�@��~�f�r��(T�e
:�ov�E>md_���6�UE��T�od Sk-���Gu��SG�,u�\�4V|=��z$��N��d�����湑;���m��%n�sl�È��`�>0vL/�x��u�l�ڡ��v�yE!"3�����D!L5
-s�ZY
b>�����N�k	��Ϩc8�D+�|*�(��^U620���,����|�;��P��
��S�?��6]����˕B6/����� �*U�̎<���PԚ?%�^�k�ɏ�y�=E�R{5��S����{������I��L���e�@���Y�NB�[��?

��*� �/"�l9#1�����X�l���12L�zg�
�)U����ܹf�z�
.6=�h�j �u�
ϸi at A
���a$-��A�I�,a��}�������V6z��g�� W3XՌ��)�
��M--�LM9�i��h�
wŁ�PCENY7fu��)�"t�v�*�b�,h`��xt���⡦����Nh�����#��h�~�C"M�%�;�����2�Z��K�-ia��@lZŦXW5[1ٳT3�}%z��d
+[��+�`)�`Ԙ
�Wto�>Jk�E�V׵��vd8^�
aZ���a6�i[�۲�
eR*i'5cv��(����xx��1�l,q�+5��
���� kR��P�6
Ex"!#�� [...]
-AR����
$�Y����H�V�
�
�>		�����	-��io��\(Å�3Q����½e\���1_��O
��/���)��Y�J�|G��`V�$ܢY�����+`��
-`
�8��W���x����R$w��r��z�\�\$���⬣i��|(��ܘ>e�R8K<���`q���Z��G;~ZQ���0��^� 1
-�#� �Y3���
vR���"K'b�"�h�gn{�2�ٶ��T�+u��f(s�����b��]�w��M��>sd�Z3�G
�[�����~)g���c�|gB�D��.�L�5�`�@�

��,?ɱ�$���G��[^{�>�^�F��U�{���4VkYY�d��+�jz�$�h���fF�5h��/�x��'��r�c���Z���}��j�G�W"_���OsTㅟ�\��޼�{�?�;.endstream
+xڵZY��6
~�_�� ג-��^
l��C;E�
4�xf�92�����R$%S��xgۇ����x|�����_�f�T�3;=�UzVeu��~�,�B���\�I����d
��m��zn_
hQI{�]��u
yK#W��B�I�G�Jh]�����$�/��O���ҥ�D�Y��,CF
aܒ�o��֒��hz���I��{L�.u�Ñ�ǹ1q����� ��p۽����nS��k����
�egy�-�nR����*�6mپf��}T<���7x��"
,O]D y��.=�
ݔ��=����
Xg;+):��8��{I������������J����
�2)�K�o];\="]���7v˫ܰD:�����
*�(ejJ'��w���+�e��_��}���-ex|Bf9�2�lm�L��#noBc��$
���PeU�����O�I�#��.�Me����?�ʛ�㦿�/
Ɓc�}`��Ļ;�Y�*p>R��[��=_1���6�
+6�~�TA�����1Q+�-���M���S�;��}�
��z^���P:j{bw��M��N��sL�~d����E�T;��1kq�gsb�������*gR7����#�Y^�4�r6T���ޣfD
�Iˢo˂�X
t�J�QG
�����-�I��D-γ:O>�!?r�8��'i?
?�����T
�ϙ��c�6�$�ZH2��ƹ�?c�7im�
~#AFD>�QX�����ڈm�W��3z�XaIܱt�����2�y�85hf����I����'fHlnI�8~��W�i�'�|6���\!�Wț���2S����},
+��Q*3{~�n�~5sv��[����3�c��

<Υ4e�VK�ߙ�R���>-�m��Y�<m.�c
� �
�W�r�x���2�4M`K#�s-������լ� 7c��|@Á��n��G;ס
M/D~
��r��{��y
������
;;�y��-�q���x`��U�E�9,~-�׺�p��~�0�N`�{�_|<r��?
9l�F0����<?=D�B�ʤ�RT�0���1Xf�;�8��� �ʊ|��zj
׫�ʛ�q��
$b**��S;��d�^��yy�|���W3Q�[�(e�;��	��۾�@�SŬ��g�ُ��~��,lZ
��
SC�q<
P�<�FyLK�8�\�Q�Zrt��n�;1gV�R�G��׾��w����+ 9g��c�ח��Ӻ�
Q~:���-�bgQ��j�B,�^^s�nGҺE^UiXZ��o�] ���t˩0��k�&d�'#�m+���n���8���s�{�ZL ��µ�-�X-gK5!�'�T�D%)P:�q���]
��|�=�'�mO63t��λs`�=��!����q�őZ���(ݨ�{�rv�!T`�LU���N"6˜��28���
��������[:��b�ۂ4ڱ*ὶi+8_��J
*���-��E�L(�"y=o�d��x�G��
\�I�g��. [...]
�ﭕ>���ƶ�� X_zG��y�����a�o���h�]V�$��R�۹HԖ"!jב�ꤥa߅�~N1�0�)ˤ�ߣ�M٧7�z�E��\�*�&T�P`O��f��4<e�Í���ư8��% ���vD�sNw��SI�)�D���O��8���P��H������%�5����rq�g�]�D�\7`0~�
*h~x�%���]�ԥ
z��}�T�Nr�"

^�(�cRȆo5&����.��^��lE�P5j`��)%4�
Y��~_
�2�x+*	0 �lq�j�toD�\��gYp����|��#s��
ny�+�_E����q�����NhRD���'����5�zE	�O�8{>y
 S�,MQ����?�_2��i��]9f=���D�Ѝ`��ߟ�wّ�"`�
8S��:� ��>_ �H��g
��Y�(�?�R���!����
�� �<��d
�:��r*�홋�T!9݀�D�{�
4���b�?K+=����{,t�a��^�n<��<��x�{7�;9�/x��v�WP�C�H�o�ju%�ZS
T�H��ÕtP\:��—�k4]���
+n�H�4)͉����U0콪iF��
|
�s�쥻���҆��c�
�ӂ��C���;
�
��x8�K�~%Q�ا��
ѵ��|��Y>��IeHȅ�L�u]���}Tc{_�x��_]�endstream
 endobj
-1382 0 obj <<
+1377 0 obj <<
 /Type /Page
-/Contents 1383 0 R
-/Resources 1381 0 R
+/Contents 1378 0 R
+/Resources 1376 0 R
 /MediaBox [0 0 612 792]
-/Parent 1353 0 R
-/Annots [ 1385 0 R ]
+/Parent 1348 0 R
+/Annots [ 1380 0 R ]
 >> endobj
-1385 0 obj <<
+1380 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [502.53 98.567 528.584 111.186]
+/Rect [501.945 98.573 527.955 111.115]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.2.2) >>
 >> endobj
-1384 0 obj <<
-/D [1382 0 R /XYZ 72 720 null]
+1379 0 obj <<
+/D [1377 0 R /XYZ 72 720 null]
 >> endobj
 178 0 obj <<
-/D [1382 0 R /XYZ 72 317.1 null]
+/D [1377 0 R /XYZ 72 317.097 null]
 >> endobj
-1381 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+1376 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F149 920 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1388 0 obj <<
-/Length 1056      
+1383 0 obj <<
+/Length 1053      
 /Filter /FlateDecode
 >>
 stream
-xڝVKs�6
��W�(��\�")��v��i/=4��E�#����캿� A��u���&!�� | ���ݧSn�b�2�������W�+�yl��
�E&�G�[!��~i�)/D�Af��s��K�-J����oM�}a�Y�:�鬞ZZ�\�����~Y�.A��>���A��l�5�᛭�L DD�nrYf=�*kk8��I�D7��t ��uD �ѽ�"t
��gy�S��N�o�Y{����w���	QFͯ���׹,�-�"
�Y�՜g?��ח����#|�"�0�&)� %bnj�-�Ma���4��X��u��	��Zg�<V����iu��H��5��
��{��s�zX�*�]{}�E@�,
�"(|��
-���c�r���wI
I�*S=�#�}��S��*�2
-�tM�8� �4hJ�0�i��P����n8�ׁ��x�:5�ԎT|���Zwj�#5&��f
`D�ډ.?DjU��*�6P?�W!�')�
b���:�!�d6'K n ��~��

n�ik����1S7�)�*QD�����
�Xf̠��#Q�&sy�;��v�&g��
f������{�RTS("P����dj�!l	��m��'��
��CpJ��\�$���X}H
��
�H����O\��];���I���V㑠
�]�N|�vOs��L�"�

�@ҥN������dU��3�J�5�`<
�7ڷ�y
�5N�ޭ"HɁ�տ�BŴ,�'_u��"D��x���l�|?�$���V�n�����o�ߎ�)��[>���Ӡ	'4�
V��oRb�
�yG��
\C�1���
�ƛt�bU��>�9
Q��f7`b��7x<�G��
���&��>��hV�ȅ�8�
8�.�pBՊ
-
�U�"B�AB BJ��n}
�!���?��K���>�̟.G���v�k��y0�P��X�ҎI������
ƙ�'N��'^@��
2��/�#��6c�
�Y�{�F���*�_܊)����ǭ7ǩ�En^�c.F��1L�%�8��j<���Ɂ������Q����
�q����oa�endstream
+xڥW�r�F��+x��1f�S���K�-�A�.n�+_��
b A��
P�����+���p'�YH#�q����T���Da��~�W�r�	���|)�2�o�^u�\ˬ���5|ϼ�?�K]��X˗Ne�aյH��U�d+\��W��]�����L��S�����S�BJQ[�z��RBڒ���
�\��#p�E�"fS8��9"m�
<�@���Ƈ��rUe݉��A
iT��tN��uP���z����*m���f���ޝoO|�)�۰="_ڢ�>my�|l��U��<��xD
���'.� ̲N����`���{�d�
>�{F..��Ģ|����;{K��ؤF�})l������[�r�"�O��A$��YMD��  ��A!�#l,q��=r��>��x�0t�aD��cB��#<��Vg�C����U��1ZA�&	^ؾ�VzI���8(r
.h����a@�
�r�
�
oVѓG�b`��c>DNdٞ/�xAtף�cL�4ud),Ġ̊�0��d1�c�*
�9v�W��"��_}�oY�ri��B+�|��;�G��$/�T��t�&���j3�q�!���71r0�F�-q�.D,�Vt����6 Sk���O*��a)�T�g�S�)p���2��C�|یC
�rk/��<O�9plX�
+���.�
i+M��c��+ �9
Ҵ�
+z���B�f���:\Yj
�l��<�
.
�%����
rHJ�VY{�P�i����&��l��1�T�C�/*a͵��r�>`��uô[�[ls7tJt�j�º�1x��|T
�����j�N*�L�|Q�_KHʲ���Z)��`���%��۩�h}J{ռ�6���u���SeЉ�TWˠ
�A5�mL�f28(=���N͞��YQ�h�O��m+ [��
+
+
])��xl�n�d��C����B�zLr9i���xL�qh�}��д�qg�YJp.�B9;j�s
v��BT�����/G,�}��<����M�07�B
U���g�l��*�W# &U����$H~�|1�:�����T���3��Ao6ƈB
���|����P*endstream
 endobj
-1387 0 obj <<
+1382 0 obj <<
 /Type /Page
-/Contents 1388 0 R
-/Resources 1386 0 R
+/Contents 1383 0 R
+/Resources 1381 0 R
 /MediaBox [0 0 612 792]
-/Parent 1390 0 R
+/Parent 1385 0 R
 >> endobj
-1389 0 obj <<
-/D [1387 0 R /XYZ 72 720 null]
+1384 0 obj <<
+/D [1382 0 R /XYZ 72 720 null]
 >> endobj
 182 0 obj <<
-/D [1387 0 R /XYZ 72 720 null]
+/D [1382 0 R /XYZ 72 720 null]
 >> endobj
-1386 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F78 924 0 R /F70 642 0 R >>
+1381 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F149 920 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1393 0 obj <<
-/Length 1820      
+1388 0 obj <<
+/Length 1788      
 /Filter /FlateDecode
 >>
 stream
-xڕXIo�F��W�Hք�q)�K�HOE�
���Y�)���(������)'�h�7|��-���o��$�2"�ҫ��U���	m������C��Q7�~��i���n����&��t�׾��CpBFx�x�����/L��X��vHE�k6ZF「�ި�JJ�[�w[k��Sb{{�`���ܨ4:����)܁����v���n*��f<8�

��]���g1YF���u���ٚ$�ˑ]�7����
�SS"
ũ�f��m�����#o$i�1	i3,��XpX�yd��hߢ&[ܩY�#��@��
χ��䨐R3�;�t��'s�y�%�$
�c�a� [)T�����<z��aV�
��w
�$ڑn5X�<
���P2xV�"�T���%���F7��D`ѱBɛ
�P�P���o6���� �5��;��
-����T��0 �����ip����K�84o��+n
N�=�fV����
�Do<
*�-/�*��x�R�H=G
-�W4ᨶe:��gvyτ L�
�o
-�bKK�/J���`�C�i�`*�y,��x��am����	�X��X�
͊Ϭ�������r�a��2�
- K����v�ƭ�V$yrv���1A�6n�����X!4�b>z�y�7X���qA�ħ������H�}��+�#��g����n'FM�H�'���]�~j�������a�;e�cp�/v�&��!C�ڸY5��	�٢θ����
��ݮhJa

�Ǯv�+���W��

�q�л����qʴ���f��Z�bwʯH����?$V"�Ug�Vg!��O��̙M������oV���������YhKPr�J�(��P�6�
�|�lNx��mX��,��>���r�9O�@]�
J$2�G
^�̈ 䩊��H��
:3����	pD&�3��G|w~&�YrF�"�y�=
�GP569t?Kw�ڝs����=�
i0�BB��f�2��|��r���"1_��3�2W�P�#n��
�t�8QS ��B}��
M��
-
4� N���0zI�g���*K���w�
�ٿ�W���=XaEK-^�6�+ӯ}�R5�H��8����ڣ	�6��|���=���ڭcL�rnT�
�G�/(�1��D��f+	�.��"q�ȃ�9qA���)mE[	
X����
ʙ
4�[��,�s-4�������s�F��b����$W�=;�~��u���
.�Й����W����M�r����%!�^��d�s�+�7���떗0������
꒹���!T؀h������!^�7O��f���,7� ù�������q~��� �O/m�����^�O:�!c%A'tGQq���
�D��vwq"L&Ϭw�(ia�tF*�S�!�΢@��4䗹Ʉ11Y�Y��
-���	7zn��+Ag at Br��t	
i"����� �@�`/B����Hl��!#�d��}��hB?g.6�ﹶ�0��-�7݈u<�0�l�G~�z��~�<
n�fک��C;�;���b"u�8=Jb0�ܨ����Y�i���x�QCnKϟ]��7�g�����
��@_H��j�c=� 1��>Yy��+g�\é�<@)>v�w>ו��c�����Y<��z��V�گ�CkB�	�&�@�i;��0C.\����)z�$9�HP{q��+(�Y�
���jO#���U�b�}�u2;Hy
;>ѭ��7O5
q�@�s㚭�\�:��u�X�Ч<{)Y�8X�i5�B.������
��
�,��w(����k_�>����r��'�@���	i�-P9��qN(���������endstream
+xڥ�n�6�أX��U��5����=m��lo�x7�u
(��
�)Q��
�Ki�y?�����K��F(��fsu�i��ˤR���ߋK^�m��x���TV��ES�y���T�e�K����ܺ�;�=<��*~qh
�9h�PJ��;�//E�᜵Z;v��VL�
Ҹ�#t=`S�ؕ�)��1`uL*"[
+�O�
�J��V�����s`���8?:
w
$
mIDn�
"ؖ`�l��J�ڋ��D0���g�#37�x&:��_�
��T�;
�,\1�
���)���8�.n$Tu?��@
{F9�?�n�'����1���
�>��n�	�p��-�7V'l����H��� :{��_,6zLX�"n?$^�ȼ���
<��l��^�
�c���\��le����h���a�;�eiE�l_�nP�	�ݾ�
��6�;��
��*�o�M�[5n�;4�u�G�Q�=���#mw��>͡O<����=�e��h>�����C~/��W�
,��}K]Z��!�����#R��;�N`i�
TyK��Mc�7��-f�pQ-�"��y4
��N�I��
�UL��r��?�:�X�}�DZ2�:�
��F
� �7��j�C��
+ND�w���RZ��'���
2��Z�Q�:h���(��Vc"
s�kY���L��}u�8
i�}v���{w�H��:��Z��d����
+,����zP�[�� � ��s�G�t�^�Ph�}5�z܇�La�9���1x�ÕӞ����j�!}Z{UF}��"7�DU�H	���y�K��ia�nP���� �䤸\�(�
]�
������(�a
N�xND�'�>�N�����Kx>f*u
�|�?�H$f#5�6�7���-Ѷ�����$�q�T�&k��%�c������c��%N��;?�#����?|��0ԕM�
?@T�Pk�N|���{�&�U�D
+ɬ	|�C�v��c¨Rڰ�ހM˴���P��n���OXZwcbΖ ��]���|f6 �W�W<�_K��Dz�9�4�ҤR6ϓ\J��.�JI����x48��i�tP��A�
+�T�_C
e�J���Z&�̳�S�dB���'��Q72%�,��=�.KS�cԷƽ?Ϙ�5ޕ�uZN`�7��M	1/'|���.w�qɈ�"���ƀ830��c�_Ўŋ�
��l%��&��6 ���8z�4>�u��D��Is6�&����}T5o'P7��;��T��M��>���)4:���9���-��\q��3
>��ǟ���fh�Z�
+�']�*ղݡ-v7������Lю
��2<� K
��K�
;m@G�\kpQ^��f��Lh��6�n��[n�
t��ر�6H���p�����I,g�
�dՎyO�������曓�\%
	'/Ʋo6�5�?�Ɋ����
+��ʜh�1rq��2�ռW�E�Ѵ0Ľ�
�F=1o�d@�R�_rP�K<�oU.|��I�w%&��0��;]� �>����M,
�q˻�.���a2��
!79/�
+ٱ�[�]H`4�w�y~͗2�=t�ns���
+���3�L|;��
��sp����&�
t�Y�a�?�t��A�"�_�na �F
����M�6!��`
����8u�4Z���vOV3!C7ӅX
[ل�@Q#'�SeESY�����ٴ��ںL����xp���gV�*
�i�'�:�J��9k��e�x�%g��)n��qy

�5[��X��TFçw�~�l�c�F��
M/�?�Zv���
+
�2h���F�`��?]��&Gendstream
 endobj
-1392 0 obj <<
+1387 0 obj <<
 /Type /Page
-/Contents 1393 0 R
-/Resources 1391 0 R
+/Contents 1388 0 R
+/Resources 1386 0 R
 /MediaBox [0 0 612 792]
-/Parent 1390 0 R
+/Parent 1385 0 R
 >> endobj
-1394 0 obj <<
-/D [1392 0 R /XYZ 72 720 null]
+1389 0 obj <<
+/D [1387 0 R /XYZ 72 720 null]
 >> endobj
 186 0 obj <<
-/D [1392 0 R /XYZ 72 720 null]
+/D [1387 0 R /XYZ 72 720 null]
 >> endobj
 190 0 obj <<
-/D [1392 0 R /XYZ 72 489.777 null]
+/D [1387 0 R /XYZ 72 489.8 null]
 >> endobj
 194 0 obj <<
-/D [1392 0 R /XYZ 72 162.212 null]
+/D [1387 0 R /XYZ 72 162.202 null]
 >> endobj
-1391 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R >>
+1386 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1397 0 obj <<
-/Length 2654      
+1392 0 obj <<
+/Length 2669      
 /Filter /FlateDecode
 >>
 stream
-xڝɎ���>_�H���*�N
`�x�	
���q`6U�S��"{q��۪Hv�{�\�Z_�}ӟ�>|�)�n�
-�4��;���&��0J`v�1h��}���_Q�T�4�����3�(
�g�/t
���g�:���q۟`���S��dG��~/�Ӎ��tr
��fƂ�S�WV��w
`qB �����v�tG��^%a�dD���㞿?|��U�K���=80�?#�_��A��U�'<y�x��?\@oF��[��t�o<0
g�($�����v�՚���x�+Uĩc��cR '#�c�_���nZi�(/��?��
-o�!�� _ЎW�N�x��o �w�2���v�T�
�ơ�G�7k����?�l���>
'��N|pq���K�&��~��8u5n�N�w����`��fz���.����7�WQ�u"��Dǡ�
�ӗ`�0��(�J:ó�,�

Nz ��C"
�
`!l��h:�L� �i�3�LU�`Sf�@"��Y�e�B?�XG`�,Q|�b:4���ph!�)��3�!jϛ�n���i��h
(�@�p�6�(
-o�Y�V�zz�p�̷@�����
.L-���:
=����EV��Xf2pZ���~@ө�p���H��F�VN-�2,� �!܈њu|ڕIУ_���f�]�ʝ��`|�iEEW�]kx3v���
Hp*�㥊E:̕��T#/��Z�‰�@
�<�
`(�r@�J��"����Cӝ��v�<��3�
s��؅`�O�;�%��
ݼ�/t�
@4�U5I�K�JS';U-�,.�c�
x��
�2��
OLkN��5,Q��4��)����e�_��\�lu�6�XC��:�oms����
���E&暢+n8�~����V+�9CtpJ1��W%��PWB�9q,����3
w �	]�\��`�I�g3����?
�z��ʤ隱���W3#%���u�&��e
-!Ҏ���H����i�\�]�*З�+B"i�w
�
-���Xr���w�*"�c�I�S �*^��`E�D��藯��ܣ����qD�ҀLC,���-�w��<+�<[*&?��@������X
jW�����#^yw���5�8�K��W*�غjI�Q+�B�Տ8
'
-Z�.-/��O� �4q��Y��fy�w�l��8,K����%�u���%�.�
�PZ��apAβhzpHĉ��
���H%��gBD� $�C��o��S�Tz�=�
7�<K
-�(e.�F����O������՗
�HaPA�	�
�E"�`�v�P�X
=
-�Q
v�B��+����$B�i�Kg%�%�
7*�^*2��0����
n�\�	�A���%!�cV�p�h"��=�y!��.㏴
�r��]�"�z���vGY�B6�>��
�%�aY�"|i�N�Ier�O����Ac�"f������
�A\3�f
yXc)��KDa�Bym��;(��
p�����·�@��Uu�A>e��Ё��	ǽ��6v��`_�:n���4g�,s"%&$���v��WR�4��?ES*�+��#�NF
9@~��;�S'ʺ�%CI�9��N��(���F�;ܠ�nW0uF�����Z	~
�p����������l$����OR���,�ʼn��07U
祫m?J_�*���,wњ�Q�
WDӰf$�����{�x7��m�Z�@�5V	���X�T��/�t�F�q-�w�ֻ��}��F�"qb��k�)��Q��"]Va� 
^�L�e��ũU�cP���؁SJ����z����Y�
_���Y�3����.n��j�4�S7���ea
�K٧�|��Z#�c�n0 K�\{��K���55�:+�h78���Po�,	 �R�@v)/�X��"���}
����9���L���(�a�ۜ]#o9�29Kv�*���(����	Y���ǭn7n"�t1A��;�ֽ/�/�qǮ&����O�Y�.�0C��!c_��aq)�
-,���
�H��כA4�"��U24٨�
-�4��9�g���>`\��*���Ui
�yM��X��}0�t6�?ݸ���<�w�T����8No��aG�oW{Z<,v	��]'iJ��a��@�3�[��I�Z��깉
Y#[�i�b�6q"�g��_V��Bsz�QUc�7�
�H��(��@���U
/$XĮON���aE�\Я�_O�Q� Z��܀Üj�;w�QR1�w��D�M�<]�� � Or%�Lc�0����a�2C�8G��#e��P�%�I�y�
8[j��SUX�B�d at y:���X�1�TW�}B0�ױd0p��2�\�,0��
'H�%���/Z#����9����CC����M�{�I��wB1�{������j.
�^�w�6��6Ҫ�~��4i���7VءP;ɧ��eG
z�k�$��5�|�
�\?f�܅k��c(���h9���U�C#�sz��o�.m%�*4g��Su���@}��U���(j���l�2=�%�Ȗ�<�}���0˝�s�;F��퓋�?^�b�>�
-�W?S2$�?����ͮ���
; �|��=��*�o��h˟J���-֬��6�@�V)k%J���B��
��B
>{�`��AE�^�i:��]\��_�޿e�G񱶪����E���t$JYG2�?|w��e�G�endstream
+xڥ�n����~��>T,��pK��m.�"�C�>妨�D�Bl�%/	��=s�YH���J����ٷ�?�?|�I��B��)���ۋJ_Ty���V?��s5��/
+ef��"��W������
��P��o�E�����n��=
��j���[���r�,ẁ�
w0���
�R�G���
.[��|�1����@�m"BM�dV59��^���d�P��
�ua�
\F�ҁ�X�&�L}�P6���w�e�E
~��u�8N�A��#ie��,F�C��j����2S �	���4%/��]2r7��;Ft��
ۯ.�\7�L|�t��s�f�?�bu|�=��׷ CT5�X��ΌND�;>ɓ���tA�����+�����bM��g��>�Wg��<z�����)�>V
��	2W[��yÜ,��+
�
��/��,Fl%���R�q
L�m�	
�d �h�W�t��ܑ�Y�ƭ�`MQ�^֌���/`
��=0"�=+�'.�N�P�vLp
+v�
+ˢ�m�g�X,u5I�,���>
�E�pw�l?��2�(���n�vO˷����r�bx��Ȋd�����m4�]��[�>7���
<��%����:+M*�����0��D_PY6s]�m6_X���-���
o�s����e)�d����#vb��� �n
�0:�]�#Dl��7z~/����>��5_ ?����Yh��pQ:/.]̖���}�)�\�eitV�BU8C�(�d�B��A͌�ŧycl�
�g�SO��,3]!���ۖK��u�
ލ ��y��l#/��	�eGh�R��
�p�<��ɽI3��.ҏD�N
A�?>��EC���`
�q��+`>+,B��Xz���fM��෣U�=˽�.�4n؛|-ڢ��)Lb���!���2Vy�L���ɰ�温h�SZ�ɺ�;�
���kQ,!�������vBe+��^�& Z��[L�h J>n��ӆ�?�14Dy��B�5�od�CˋqT#����⎲2qR���;L���Fɋ�������
�F�B�D���m=Mp��ESB�:�AэmA��}��l��y��Ο�����YX-u�E]
��@�Du9Kl񒦀�,�4��� � �.�r2q=1��IB�5���z��K�n]
�5��}K�0罧�78C���
+�S
@�����&r!xGV���un�w�a�ҡ��]���Y���p1�c���²Z�ᆆ
i��VbL�"�H1�A)E���J���0�iL����
��k��w祐��wO���A`�z�V�p"���I�Ln��@xc�I8�qD6�h���xsw{$�c*Y�W�Z_�
ԡ����úaoS�&T<����L{����n�
��}^8�� ��J��J�8�\��EM
%����=g�q��OBk��_�	�j3)g2�է4ܦ�vHbi�3	
t�T�.`��W&M5/��Q�'D������
j��Lr
+)۪:���
Qm���\���:]U�
�{����Z��� E8�)$Z΅6y(�����&�\U�i�niN�
�|q�q��B�'7�r$���S�
�	V#�tC�Z����N�VR�.�
+�i�$x�njqR�K���^Ѫ�7~?�%�	AX<{�yuJ9
Z�|�7�j�m�vR�^�k�����_��D?wXI�ܜl�_�U���ǿK3���z�n�r.�m��ʘ���?�~w%e{*8���G�Ќ9��f|�^84���<D
���
+ku>)�?��d��:����M%i�9rnU��n�j�)p�ҳ�b��o�ҷ#�
+qm��QCg&K��Xi�f��H
�<�%���~
K۾4�j�K�c����t��a�H���N]��'�
+�~
��'Cv��YF2;D"칯e�c�+�gqG�7�7��*��u�^8M�[�I�X�8.�J��d��m\/U����4j
K�J�
�y�b�����
+�em�Ik��@_K3<��ǎ{B�l
+5���K��l��m�K�
���wRf��;�u��n�A�:��nL�r��vr#뺢�X�c���
���P�� �fI5X��ʤi�]��`���m�e���Eޯ��s�M8vKN$#�T4n���	=����EN�� �s�
G�m8��E:�Bw��#����p-r��d�QV��=���h-��?��A.1�˰����������$�M�-nͿ�m�O
+�����/�I5��K ���`��v'�	J�F� �����)T@��$m��$��xиұ�13�Gk�::9��;˴����k

w���E[%�W�����_��W���U���
J�h��)H^
��:W��來/@
����0lw���h� ���B�E��~V�J���[�C�=�X�9��j6|"
��_t�����ã�I��+_��
zÈ�]��l����r���n�tݨ}�C�Ѕ�cǎ�t8����&m��$��H*�l�|=�����
�(@�
�#��w��� ��}e(����*0Q���4�:r�XLw�SQw�r�V�{�@��
 n��>�2���3
+���l`��}W� Q�����,�_���T9�s q��>�����xp�Mkj�a=�
���?�"g���~� ����s6q9�} T��]Z���|�����?�L/Cz�FH@�b���Tڒj+bX�A�~�����E�>�endstream
 endobj
-1396 0 obj <<
+1391 0 obj <<
 /Type /Page
-/Contents 1397 0 R
-/Resources 1395 0 R
+/Contents 1392 0 R
+/Resources 1390 0 R
 /MediaBox [0 0 612 792]
-/Parent 1390 0 R
+/Parent 1385 0 R
 >> endobj
-1398 0 obj <<
-/D [1396 0 R /XYZ 72 720 null]
+1393 0 obj <<
+/D [1391 0 R /XYZ 72 720 null]
 >> endobj
 198 0 obj <<
-/D [1396 0 R /XYZ 72 561.511 null]
+/D [1391 0 R /XYZ 72 561.535 null]
 >> endobj
-1399 0 obj <<
-/D [1396 0 R /XYZ 72 154.031 null]
+1394 0 obj <<
+/D [1391 0 R /XYZ 72 154.097 null]
 >> endobj
-1395 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F32 668 0 R /F67 564 0 R /F29 672 0 R >>
+1390 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1402 0 obj <<
-/Length 2093      
+1397 0 obj <<
+/Length 2106      
 /Filter /FlateDecode
 >>
 stream
-xڥXK��6��W
��F�i��^�u���>�C09v�h���r��DR�t��������r��(�Ȫ����/�$���E����&u*��&ѩ�F�o�r�ZG��t�W&(;��>}����/N��i�ex������Wk�m����q�SQs�	:y�c��r�y���<}���8���[�Dj��ݏ7ƒ�k�s1I~z���ƴ�Z{�����]/,��330FUB
��,6(|Ӊn�G����
o�
p2������!|�
�H��ol<�}�������]�6h��uh���l��s��i��N�L� ���;����K��.t*��,(���?	h��<��
7w�zӗM݉*q2�
F�&�ެC����
�O���
��a`���j�4�O
cp^=���`{�3<��y摧Ul��-s��Іp�~O��#��զ�
-�T�
�֦�x��A�U�p�ym3
�ԯp���Gz�ܴE��Y��qjRү-O�'
�
�Aσ��O�(�+i�[%���#IQ��<��+s�+{����P(8e�oV��s]Hq���;<uђ���Nw*��z!]֦�HU-:Fbyh:F|��3��
�z�
�
���������am����u^y+d�=�=� b���dN���gX�O��(�V��
�/��n���sp��}�L��os^�
+���%J���i�;��O�os�́�
Oӻ،��T�dBܡ��
- �VI���>� ��\�.L�
���Y"��
�$�1�图@M��4Ĝ�
�IZ�I�c]�y,�
K�
*
-a��(s�ݞ�t>y+K�}[x�(F��u�xD��"
n�;��h5=�k�`<
�`��բ����Dz�����3�6��C��?y�z.�KS���(����?������M�� �q#�EB�����������Ġ;�Q����n�`57)GAJ��H��-6�ىu�*���lP*\X�u�E���K��0�ݨ%�r�J1n(���~����Ěc/	t֜0}@c�xZ>Hnvf����dfI�Ĭκy�YɎ ���g�l�\�-���(
g�8�
d�J2�	ߎIS�EvՄ4
-���
��>����M'gt�/�bE�Gs��-�E�K� n��q�L%�J����#E�̐N��Z/�#��F�����&�)ʊd��-��v.�|�����2\��,#LT� 
����w����9�zB�(�3&>rg�!L�\���ܠ�9�*�]����	.����&��S������~��1�cI��<]����Bv�G���3Hl�
\u&�ͭ�`*��s���M8w?�B�p���<C�.� ��)�/��!�M�Iz�� �B
Jj�HRʟ��ȡ&�0:��`m�X)��0�C8��
,������%N3�� �
��
�6pT��$jD�V���#�z�^�]��{Ԣ�ո�TA�E`��[א�g�^b)u�Wy
�`/Hu�
-����K�!��j�?�<�\��
�3c� �n��Q��ĥp��y�!`M��Y z��z at e�
�U��U�
(���{{��}��
���Y�%%Acȥ���ŎP��U�Qr�uT���+�G	���
�P�|�
Twl���ڋB��	9
�'��
�|�%���BR�5�xS��(7P�q[vwb�pR�
����=�gь�
I�{���*��1��|�9v}s�)��������~#�TW�@G�Y��ac�D�D:\U����A����Ɖr�O����Th}��;f�) ���i.�Ŷ��R�ȓ�
-�l
-[9�e61l2XJ�2����З4+d����r�5t�.��zϪ�G���Jg�P��5�u<I2(G�&X�!�s~KX+
�5E���h?/e��ʺlf:�j
�?U.�'5��1'u*&�MK����q�
�o<���ZRIV�zc�*
�f1�}@=�wO
z�ڨh(�ع\�y���`(s�"�ఀ�
'�Y��d9O3ߡŸ�م�ʫ��hq����sU���~���?�n%���/=�
�[_�^Ƨ��-|�˻�W�{�^<af�*��
y��o�����|�}t

���o�k_��o��w���\�Q*I��f*MS�������

��endstream
+xڵYK����W���r��y8�ې>�l�d 9\�M-�
R+)H~{����1���,g�����U_UϏ�Ϟ����IY4��n�����U�.���͛��Bη���z�VX��HOA���iṣ�#<	�sx����X����e��BU��αp���q|�C��
+�=<g������۟A)�$J��,��3���dzۢ�L�q�GYH0�'�f�CS�$�'R۫��
�
�gKUۢTz���0�����
��ů��.������X�F*tY��?�0��E{#���5�@�%�'�I��'�5�zOϊ8n�n!oK��
���J
,� � �8I���=��b��%ު����X];懲)lՐ#�$^r
��n�
�B�2>��=���%�r
�6�	��ݞ��l��&#Hi1 
 ��-���Ɖ��#Y��H�G7bH}�X���������SwHd曳w�V�x0�aQj��xO��9���~�ВIwΡ����.�fC��R��������ϓ��]���pI�{�'ktbаe�J^���q<��Q׏��
+��
��ۈ��
k��h�3��� 
Я(6
�����9Qؓ%���1qq[�Oe9���9$j�s����d]�m�O�(A{Lvj��o�4�0�!�0�[wB;gO�r��
3�ʥ
H�;?�-np�z�p���4�.�/��<���M���
���g4�e����1Zwxp��H�\��#��:�}�¶�\HcbTM!DE
?��b��(�B��>r>��|6��$᡾�G*�����;f���)J�L��>�#�X���ONG�X]��P�����
o���pd����� B�rn�4���+���Z�{�ar����X�B�ow
�Dʛӿ
Nnȍi�A@
�9�Dx 5���C6�T�+)��수��<�z���E�u憟w��}Rh,�f������T��W?�.�ŠK ݇��%x}���?�d������
6��銠�����ߓ���q�B�`�U	�4)�qҿ]Hf��[;�S�9�.9誼

@ӷކ��S�[ק�2i�eS4�
+z��J��2�35'�F�ҟ�s���w�>��)��|6N�n�[�#:Y%
Җ3��W��T�n�遂Д�������X�Ay��C(V�aK�E<_M��� ��v��Bc�<��+�]���w�g�d�W�J�+����R�F6k�����B�1��7��^��${8�_�\C:Pp%�eaK�
��*
+]sE�WH
7�*����BkG�bV��Sa�&JK{_흯!k;�Ye��[�4	�u���UX��A�mbE��
�k�2_�@��]X�
z�M�qD:J�M��?!Sv(�C�3* �o�+Pwp��Ƙ�G'$A
�B��p]p�	E��pa�c��.��>���[}�sӓp�%A%��?�|���gb
�񰐟f�UV
z��O�K]��5;~>
&�O���U��Q�zqA"D�2�C3���A"G>���؆��l���Dنf�B��n
�D�W|o�q P]��N-Ή9~On�hz*�}h8�_�; c"帹�8���!��Q�^O��3W�	���GS��pu����\Ln��r�r��>���@"t
1�vT�����ն��W����k�����
X2p?�P�����kf�f
+�a�a�J����+E�C�N{z0<*��ë�
t��$��v�n�\�"
��&�?�:��
8˜h
�
#9
<㓳������W���\������JY
Ӭ#8ě�ㄅ:w���[T��݂���`��Wh���
#L��

ަ�6���&�7�XȾ��{*��Tg-'��wܟ��Z��l�U����N� /�<#
���h�
+F�v}�	�r����F5���4����(6m�_��h� 0m���u ���;~	{^3��(��D�P�oV�9�)o�h�
��k�J�c܊9N��`	�mі��	�<�[��p�v8�w'���X
Ǣ�h!
)��lrW.�F{ѥ��P��Co`L��C����UD�[|��(�~Ks%r���^���I9�6'd('�"���
+�q���c/��ET�{���t�C0�_R������b�Mz��ϐF
��׾^��g�JR�-VSԵo�K�!~����� ���2endstream
 endobj
-1401 0 obj <<
+1396 0 obj <<
 /Type /Page
-/Contents 1402 0 R
-/Resources 1400 0 R
+/Contents 1397 0 R
+/Resources 1395 0 R
 /MediaBox [0 0 612 792]
-/Parent 1390 0 R
+/Parent 1385 0 R
 >> endobj
-1403 0 obj <<
-/D [1401 0 R /XYZ 72 720 null]
+1398 0 obj <<
+/D [1396 0 R /XYZ 72 720 null]
 >> endobj
-999 0 obj <<
-/D [1401 0 R /XYZ 72 622.566 null]
+994 0 obj <<
+/D [1396 0 R /XYZ 72 622.589 null]
 >> endobj
-1404 0 obj <<
-/D [1401 0 R /XYZ 72 545.629 null]
+1399 0 obj <<
+/D [1396 0 R /XYZ 72 545.646 null]
 >> endobj
-1405 0 obj <<
-/D [1401 0 R /XYZ 72 452.991 null]
+1400 0 obj <<
+/D [1396 0 R /XYZ 72 453 null]
 >> endobj
-1406 0 obj <<
-/D [1401 0 R /XYZ 72 313.529 null]
+1401 0 obj <<
+/D [1396 0 R /XYZ 72 313.53 null]
 >> endobj
-1400 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F32 668 0 R >>
+1395 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1409 0 obj <<
-/Length 2587      
+1404 0 obj <<
+/Length 2517      
 /Filter /FlateDecode
 >>
 stream
-xڥɎ���>_ј��8,.E�

cp`�� ��
(�Z�"e.�L`{�V)��ȅ���޾�o��>|
-��R~�$W��W*L�@eWi��A
K�;�vg��2
-S�X(o��q��qm
y��}[>�T{�=�7�~���g�>,��`�%>W�Q^Ǜ}��g���� E_������f����>�����j*?	�^�Axt�I�Ap{\z��Z,{������	A"�q�	���&�
-�DίW�Xָ��	0�Q s�k>�p��Х���q�cNW"��g��#�&NB�I�5N�m�%p�X�n�L:��I+޹�C�܏
��Dz�1��Y�M�s<|8^�Q%��
.\#b�DHr
��y���LJ
-W�rgJ�<�4O�iB
e\5t���uhqI{k�i6C+'����0����JRS@؋�N���F��;'�櫨K�ou�jY�E-ى2��
O(ƣ����W���"5����5<�~����Iߐ&�7�vT;RQR��� ɹ7��0���W�'x���B&S�X
�;TuΗ[t �ʼ�������q5HYɥ�,5<e�	$^Q
��u x�Ƥ1(̝
��
��
:�?�Z��~
e�%b��wI*�
-ddQ֝ �-M�Pl^=����\����O��|r6�~�����L�*��]o݈qp���Y~ 4?����ݕ�T�b�!�,z#k��ɤe
����, at D~���]BP�\�ȁ��}t	!�u`���'�$��O?�_>��*�S
�Yu�e��I��!�J�V�
-�
L2/`�3O��mQw�M�?�4<�*���nj�.7���gB�z^o
P��O2K~�FhڡX
���ˢ�;}tu�>k�r$�S�Y��Lt
-��@�e�bњn�zĄ�Y�H���
of�^q8��6�
-z#�I'���L��M5���<s;�D�Ql��ij�jKK
��f�8�J�ync��%Y�R��K@���'Ȯ9I8�Y����B��7<,:y�B
h�ga ��'<�*�Kp�m��<��2�~�g*t:��$��p	<˓��~|* .��Һ�y�z�^�1�Դ�nA�7>�R߂�t��Լ��8l�w�r߹�G���N�3D�Q�X����R凡Ռ�KV
-2��jDs �M�0��A at Y��
��"�_0�e
�/��LB�9ߗ=^G�0VL
�R�Ħ�<+�
zJ�ii cㄼ\U���̧��ٴ�}��W�n#�����T���Ҿ���z�>���6�i�3������P at w ��*a��r��q7V~�6
�02.ȥ��є��M��+�
ciҹ�ѡ�2k�ϯx�k����^e�ɥ!���B�C�^�����T����~s��S��t�q6S�#Ń,*{c�&f�C_�D�=��P�"q4�
X�
#Ȱ�
zC]�6��'�`:��_LOQ�:N`%���iTU��5
]��G��iU�G�1���7"6�<.�a�<)��)� �87R���h��cW���δF���,��S�K��^D~��,�'݁��v�S-;6e�4�`ֽ���������mYZS��yV��@5U(�YWt�l����C3�P���Ě��ΙCR�	뱒��s��\�VCE�iy�hk�v��Տ6���K��s�ICt�#�Ӎ!�6SI��
|�<���(��E3�ÌDI!���hN!a
P�W롲�fe���Kی>�Em��0݄q
F�VtT�:�Y? [...]
-
-~�s�\���E�G��TY������fT�0
�D�rl�����7RP�H�����G����%'����ےU�
m� W�leP"f��#
�0����f���r�g�{�܁
-�y�~=I��/2
�ӈU!��ڒ��O2����J+���L�FxX�5x
%<�Za���{&;"��A5٣;q�c�3e�3q�cWɆ]�}W%6���ur��
�����R�O8%��a�;��@��uK����SOF���#?�;s��#y#ˆ9�7��:z1x��[���N����:wnz�9��*a��Qx���}g�'
�
뷉�w��B�?9�y.������{��?�T���	
�! 4��)���� �o�������;md�'�lؽ��1mX/��Be�}X��>H��xnM���u��g�_#[ײ��h��-�-S�w�l�r�F��藆�2GL,
ѹ����~7���!
��>S[l}��㑂]�p���9�*�c�O���N�%๐~��j_*P��
�QlI	I/""P`�e��{��t��5����P�;>�!O��-&�SkΣ�����ꒋF5s��rt�
Dd�A�o.;c!F�:9bw�����/w;r,0ze��+v������`eȻR;hVۢ���BY�f!ћ���u�h�8�co����K�g�^��s�
�[��I��ԍ�"�K�B8i����~G(���� R]H
2��1n��x��FLh�endstream
+xڝZKs����P9�
+YY�b� ���q�Vٕ�!V*����t(Q!(iש䷻g��
H*��AOO��o���ͻ����uZ_]�^qѰ��WMݲZ������%_��J
+�X�x�
�z���پ�Ń
���
�v�]r�g
�g�j�[\ei=�s�
�.�������v|��n1�ǖ�
������6	+��=Мݯ�������}��$"��*����;�C�
��ֺ&1D�9��~��Js��3�U8����v;K�+��q���#^G�txK�Ve|���eҝ<�{{l%���qG{܄���[|�WZ�"w�7�
+�_`Z��.��’[��q|�H�eK�}��g�e�>�n�q�C"�-���Z�̈́���-��D�;�&v#������
��lh��� �;D(��I
�G:4���7��;�~
��T&^�
�w䋓(�{�����k�%���ܑ�'�}�;��T1����PB�OȖ��y�+�G�hƑ8������{"sL�{��=
ߏ��B��2�Y�#!0�[в\��d<o�6��.�O0$xsC��>��
�N7�
+��h,�,��m{��
 w�id��"�;f��C��dvntl8s�8-\�!W��
�W�Q,��/p�qf
�~�%O�l$kdG�^, �՝���.n�V��!q�OlgW�gj�$ 
+��cA��K�E<��k� �p�5��<��CI����]��f���T�����8CQ�
Z�{�z�3�s%
,9�//8�;+��,�w�
(�wC�<��8�Q�(���*޵�:�˒�3�����Qa�M���������U�D�
��d* �fnƻ��]�ƀ'wlܡ�����9�ԁzx"rL��
D	�De_$�"��W
oǪ	wf4u�4���YX�]��FJ&��QS/S�7h��QTF��o�>@M�0 �<�۷�խ~���i�%��E�g��'��L�"J�"�~q�+

A�?�
�D�
+̭���=ݥ�!���r������JuXk��Tp1�lݎ>'Gy
!c��.D��Q�,;��=�?-%akcW��Co��@���#�BS!�lݪ����o(�x�
ݞ5��S�c��Ӱi8���73Pᐭ��u)��n�y�଩�	���Ɏܝ5*��ҵ&�#��!�e�
@��� ˻	d!
�@�E��"��"@y�t?�	�>$�9�:F�Qs�Á���	�+�'��>���g�
�$� 5
+����%���jO����
��h�Q��BtL�A���gm�
���������e�܊q~6�/�n㝷�_�8�E#͔�&�Z��1�?MD&4�
��5D�YF*%�0Ŋ��_;��R&Aэb�ɢ���J��a]ӼfW�$�	1O%�N;���N!Į%��a�4�HTvſIiz�i�0�����pѰ��>��=��j5R0G-
jm1�j�7;���:on��|*9�qx�/
�u��a������Oܝh����C�z�
-F~�E��..�}	B�yrhW\軕>/*g��	%�.��w�!9�5�D}�P��G��"y�
�z�~��!M&Gw?�)���L��D�[�/������`�N ��Ks� �D G
�*]��w�\�Py ��D
6›C6]��<��0O
�@���u漸>��UR�ZM꡹���b������hP#4tA�aQ.wF��매�w�8��Y�nS
K�9̘5���`�XO-�{LgV��Ո��b�8*�����u��
2����k��vV�C�6g%�
}�msi���+�{ 
+�/�6Z8�����������?_�Bk���J�-�4
��I�At]�dRg(sIO������WZ˶k�|�J}���'JkB ��+#2iXk���Uy���F70���q"x�~�mv��aV��9^A��C�Ƴ#
+�%y� �>UQF�D�xIfS*���LJu��T���S*%!���K��8��vj�:H6bI�q�T�O��W���r�?�1����t�P���b�����55jy��gzZ���	'Cݿ��s���W�x�	dM�é����"ϋ������
f�
��J��њN�G���P��F��N�N\����⥶��K����mU
+��a�n�EZVM�.��
�|��>��
#�ݹ�H�=�9��u�3�
��4ja
ه�K����p�wI��y�p�5�O�i_��6w��ZP�!��''F|��%N=�<h.����C�y��8�u�O�L���
��w�=K�}�"xN0�M���Kʅ�q�R'w�}�m�59Pr�
7��̱�ViG�I��uFE��ۚ$�cRoL���>�x�S�xW�N�!ЉHz[�Hky[�P[�␼r��&���D�VѶ?'h�[���-8$���P��اN���HdS���^~�7�F��1ɍ�\��������&x$l������Ĭ�i.k����rd��
�������^ИRA׌seX�T�`b
ԧ&��&�5�װq��12�/��g.�y
X0�-�2�
C3�8L]��S�(��.�IҒ
�p.T�UW����*>W��7������pendstream
 endobj
-1408 0 obj <<
+1403 0 obj <<
 /Type /Page
-/Contents 1409 0 R
-/Resources 1407 0 R
+/Contents 1404 0 R
+/Resources 1402 0 R
 /MediaBox [0 0 612 792]
-/Parent 1390 0 R
->> endobj
-1410 0 obj <<
-/D [1408 0 R /XYZ 72 720 null]
+/Parent 1385 0 R
 >> endobj
-1411 0 obj <<
-/D [1408 0 R /XYZ 72 664.669 null]
+1405 0 obj <<
+/D [1403 0 R /XYZ 72 720 null]
 >> endobj
-1412 0 obj <<
-/D [1408 0 R /XYZ 72 487.638 null]
+1406 0 obj <<
+/D [1403 0 R /XYZ 72 664.671 null]
 >> endobj
 1407 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F67 564 0 R /F86 1221 0 R /F51 1171 0 R /F78 924 0 R >>
+/D [1403 0 R /XYZ 72 487.662 null]
+>> endobj
+1402 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F32 667 0 R /F114 560 0 R /F158 1216 0 R /F72 1166 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1415 0 obj <<
-/Length 1272      
+1410 0 obj <<
+/Length 1242      
 /Filter /FlateDecode
 >>
 stream
-xڭWKo�6��W�*�1W�H=��h��aOzHrP,�jK^Q���o�<(GZ+�ۋ8$�3�o�3�_����RJ�s9_^f�0�ee"ҰP��JF����w�*0�F�2"�y�ɠ	gJ�A�\���΂.���"�!,�E8��ܴ�� �d��q�
�
-�s^��N��.pw�e�;�>��EW���
-6�Dd��-���`�r�� [���6HF�-��@�j�Q����Lj�uB0������8QAi�� ���{rm�(v;��ڊ����*:+™���aFs����6բ���c�� �
��`���
0
-��Y�P��F�v�B5
-�o�{� �-��$�<t�
گ�<7��K
��\�9��
����o�{��I
|�����p��T?���Хqo�[=ᧆϊ��0óv
�
�
y�� W�=|7�{r�/=�(�62Q�$�Q��m�lJ^���H%�H�0;��
|�"a��)��(��G�����@z4�dp�t6����':��w
�	��NxH+���Eo�y�o��\*��vBX"N�
G=�s#c#2�{�¡��#��.�#���;EoUگXݗ=����}�o�J;�c�щ�G�v�nj^=����:����
�R$Q�����\�����A��)Q�
�}��శ�}���M<HK�f���M�ò�̅��ɴ�*s��4�po�S�����V�B�q��FR/;�I�@��ۀ��Y�/�Eǯ�
;��(�Ç�v*%�����q2T��p.��L=�4�ɇSN��0q� �LX��<�p
2��!#�}nL|Z��}�Cz]�|ELpC�N~���\� ;D"K�(�dn���`n��Bo�R@5cS�
-�# r���խ�Ԛ��s��M�z�J��Kw�Ϛ�g^{��;"��2,#
��5��d�(|ϋ��S�E��oE�̄6�ɽ�0�@(�B;�q�8E�/!��X��`P(�s���s�o�z�@*�,2�<o��:"�ٕm1�(H�F
-5�7��ul�7m�_���m|R��
4,���;
��
����5T%0>�
��Ҳǖ�����K/�mn����zM;�A5�nݗ6��_[
���#�Ww/tx�u����a��nzͯ��&����A:�a�+�-{�hJ
���w��]�JQS��V,=	D��g�O����;:���<<z7��j<���K<`�ED�yH��!�x��x�3�po{,�ީ�"o�J(h(F
"Rb8mX�?������k�*SP.#�k�(�g��%9/~�_�>�p�endstream
+xڽW�o�6������)R���
�
z2�C�C+�1'^-�iSl��EʒSg
v��D=�����/󣗧��c��w�x~}�x��hTaaa�6;7����{yjRF���
�3����)��"�Y�-��=<w����_u�17M�^���
3!y�
���6�Avd��+�=-��B�(�Y�M���#�p�R���s�֋
���m����[ ��TӿU�9��ʹU�V�n�(���f
$�`�	��(��U�ƺ�؄?��Ȧ@/��V�|� L�ycB�PYt+�V"�jI� U��
"\֥�ý�M�D�3�z׌.��!�q��P1��2Re��hi\��/�	���k�>; 
x��6UR��xUzR��|�g�����X�3���' gL���|V��^�ҙdt�l�|��;��ؓ �k�d`K���G�f�R���}
[���������|O�0j��j�`<�	y:>:{+����m��5���y�F�~�Nt0�8���dd�w�l��B��SoO�5��k��sj��nTc��ੇ���P
4">�Z�ǟ�Mqˎ����+Z���~��A㚂�yG]2q�
�|��Ͽ�hi?�SQ��hU��2G�z������jL��o�p�`*٦�
(
4��,���`��
��H����
o������
���ChO [...]
3��
X9
!`T��~0ԟ�i�ũ����sN�{�k2)��}F�R���ڰ�u.�P����C�e#lLu�iI`������֬r��
@_;l��A�DV*�|�h�([���ȘF+�-�
W�rF �A�C*S6��G
�k<(شa�H�f O��x���pS��
���{�̃�@B" c.���+
+�/Xh����b,�{n�I�[� W89�X2
	r�����7����pb��o���
+鼀"?���<0"�N���=-�Dj��P�	Nag������
�+�9�h���T�!7�7k�����1�th��l����0�7���n
�I�ЗDt]:_}�

��� -F�{��H�W�A�0�fAJ�ǸbF+%è��v0B�$�=�l�Iʴ��N(��(]�P]�x�K�}�cGMth�8�T��*


+�&�ݻ������?���endstream
 endobj
-1414 0 obj <<
+1409 0 obj <<
 /Type /Page
-/Contents 1415 0 R
-/Resources 1413 0 R
+/Contents 1410 0 R
+/Resources 1408 0 R
 /MediaBox [0 0 612 792]
-/Parent 1390 0 R
+/Parent 1385 0 R
 >> endobj
-1416 0 obj <<
-/D [1414 0 R /XYZ 72 720 null]
+1411 0 obj <<
+/D [1409 0 R /XYZ 72 720 null]
 >> endobj
-1413 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R >>
+1408 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1419 0 obj <<
-/Length 1644      
+1414 0 obj <<
+/Length 1688      
 /Filter /FlateDecode
 >>
 stream
-x�uXK��6��W�VX+�L�zl�-�
�
-4�A���z��w�}g�#��׹�ș�_ޟ
߽��f�X�Y�m
O�,ޤq

��<֟�M������A�����f�٩"̣����-T@�(0D;���ɓ�:k�\���O}��֭eF�?��&��"IX6�MTؚ�!�C
��
tk����T
\F3�B��^_p�HJ������c���ƙ�fK�
O,h��xaP9ұ�;����}���oLr�&b�
�[;�~�|G߶q�N ō�bNXq��΍T�T�༟�A��,8��87���2
�3}�ε�L����fHVE�]��ݎ�3��k��2]v��
��z�L�'K��2:�)�X�P�W��
�k��
,;�\&
8��ٌ����D�ٜ�vx�e�A�x��
8(�V�O�����qv
Z=Y���ac\�=:�	>�f��Я�L�ʩaM�x��>>
���pn
T����c۾lI�^�vx��8�h�$܌�LU�@�G���gq���YiT5t�%y�k=�:oh'}�?
-���}��QQ�B�ە�r��F���~�
D�ݕl;���j
-�8�Y�G��7��%B�'DHp��Z��b�I�R{i�u0���-gR��X�J�KA��1 PQP�|c��vx�!�*�,/<:�	����I��/rQHS������js�㟚�]p}� xu�x'���8'��j~?�;E(v�=����#����WΡ+�syp�����ȿ��Vl��\r��ːdJ�����;Ċv �.�b8�»yt�W�BO��k���k5��{�m�(��Y�G�#�"̝̂��ZCy�k�	
�Oe�@]��g�����z�r"2�+�k��Y�����U�j��~T�ݨ�dX�8վv�ZTň�P�ܶ4�DG��
�e�`���b5�I�r�����IV�	Vjvrn�N/��
a�&+��"�..
��2��hؠ�^����+�
C���J�/Q���`���I/�݊�N!��8J
�)��ȿm
-����N��z���4g1F�
�WG��P���}�Q���Gj1Y�ڹr�8��z&�gM��īh�jԜ���P [...]
-��
E�`Ѫ���`
-��!���ۏ�n��ٲ����A��t��Z	���:�jݥ�h��~v�p�6���"�����hXq�����
-S�/�4eԻ_
��_�K�endstream
+xڍXK��6��W�VX+�D�zl�-�
R�䠵��"~ղ���H
%��a�|�
�3�<�_��^�5��R�U9[>��tV�U�Y;[�?Do�&�4��x��i���<�柖Β���qe2�|?����
TH����Hm�������D�v
�
�y�6�g��u��� 4�qZ�,��� �M��?��.��z�50�C�?{��5�ƠEZDk\�2���]��1K���F����
�t���<-�'(<�/lYG�<��O,����t4�V��FX_xoC��W�ײ ���"�"]�:[[�/7r��؊�Y�Q�?��-mH6
y����¡��jKW`u�~��Hp���"f�(Rz�?.u�t#
�;�Z;�sz�*�Y�n����2
+��X6��k&���0��2�1��
��i�m���˳�
�6L��
��O<<
+�A��p��?} �"S�&�m���"\�"z�V�G�g�<hDWc�9��|��#�
\Z]z���
����|a�	�$B`m'�sLRY
����Ƈϖ��J)��_a���+A
U��;7X�	���nK��(
+nO��x �A<��
]�xf�������]��t?�6쁀�R�Mj�1b/ ��ył�A(��UDƞ�sl>2�X��΄'��:�~����X���ظ� ���Y�
y,,�	��	�ʇ���x� B�Wgu ��kc�)��L����I{/��BHD��:�VJ�ÏI�;�Z��nX�Na:���u��((j�M��3�s���GRp�WzLP�P�1.W
+ ����'g<J��_8�+��A.�
�H�;�HbE�^�%�
9�嘑��3%��(�	�)&�NGACd�qf�
+\`m���fS��S��
�abg��2��ͥ���y��+\|J &���;��yQ���2*v
5"H6F`�úA�
�6�=�C�\�|�+D��o}mZ�]��
3{f6�V�'k����J�N�u�����9����=
+2H7.Z�\U�ũr;��tq-Z�
�		�F&�IUn��ɄO�N�8-�����
d��E��wf0���+R��JǤ`����k��ˡTa� G����
�t��("������L3�,i9
jE�JE��
U��D��Y�mZ�>s�Y2�=pi� 	��k�mq�:��,	-_��{����akq+�g
N� BH3��H��\�K��n�}���E��$�����<���w�
	�{S����S��<�F��Z�-�E6Υƿ���A
�FŁ���D��f�a�r�~2-�2����d
+��e�B$ \�*�To�"�Ii��G���O-�Oo�a
j�L?'y˅K�:�N����+��<rՕ�BYe�V¥� 
+m&�/�.����Ū���%��pW����B��n��-q�9UY���x���+��^y[���N%~`����&�����GM�^l�e��Tu� ���Egy�됅%if�N�

*~�#ע<�
+T�"���!VIH��e+o7$�o{l��y�,7>���~�.�!$�X������n�w
�Rr�Py���Yht����~���J^_�G��xO�COgy�?�a�q�3�gT��r�S��L��i�{�7iO��w]����K T#7ӊ�߆�؇@���%�6�e�񷂇���ZM�%�e�kY��
מ4�b��٢�q!߬���m��,�[yendstream
 endobj
-1418 0 obj <<
+1413 0 obj <<
 /Type /Page
-/Contents 1419 0 R
-/Resources 1417 0 R
+/Contents 1414 0 R
+/Resources 1412 0 R
 /MediaBox [0 0 612 792]
-/Parent 1426 0 R
-/Annots [ 1421 0 R ]
+/Parent 1421 0 R
+/Annots [ 1416 0 R ]
 >> endobj
-1421 0 obj <<
+1416 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [117.248 505.803 125.094 519.751]
+/Rect [117.228 505.803 125.067 519.637]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.9) >>
 >> endobj
-1420 0 obj <<
-/D [1418 0 R /XYZ 72 720 null]
+1415 0 obj <<
+/D [1413 0 R /XYZ 72 720 null]
 >> endobj
 202 0 obj <<
-/D [1418 0 R /XYZ 72 720 null]
+/D [1413 0 R /XYZ 72 720 null]
 >> endobj
-1422 0 obj <<
-/D [1418 0 R /XYZ 72 459.145 null]
+1417 0 obj <<
+/D [1413 0 R /XYZ 72 459.15 null]
 >> endobj
-1423 0 obj <<
-/D [1418 0 R /XYZ 72 405.181 null]
+1418 0 obj <<
+/D [1413 0 R /XYZ 72 405.181 null]
 >> endobj
-1424 0 obj <<
-/D [1418 0 R /XYZ 72 383.761 null]
+1419 0 obj <<
+/D [1413 0 R /XYZ 72 383.761 null]
 >> endobj
-1425 0 obj <<
-/D [1418 0 R /XYZ 72 341.918 null]
+1420 0 obj <<
+/D [1413 0 R /XYZ 72 341.918 null]
 >> endobj
-1417 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+1412 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1429 0 obj <<
-/Length 2669      
+1424 0 obj <<
+/Length 2608      
 /Filter /FlateDecode
 >>
 stream
-xڭYݏ���_q@��j-��K.I�-��q���q�>��
�TH�wz�ߞ�Z~���
�E���ٙٙߌ����7olz��P�����&�7i��Q
���,ܨ@m�J�$��h�;�W��fk�8x?�
��~�,j���-|U�s5�|�
�Hp`Q���F���<�c���������~�lu��?a������ �u��{^Թ_NU�S�"��U��m�<�
�5�4��§;���M�E�w+nk't�fǻG��w�Hܸf�
4�
�G�a
[�����d&��p�ͣ,xW�H�
u�m��

wF��
9�v���-;W
2u b]U:�L���
zW����f��8x7RF]к?&(�2ʅn�O&ƚ��M8p��-+^�=R&Z��X�Q�_��B�Ip�6����y*N�"XJ,\b��$�`cE�8
�E$
�'�o��{!�)R�y�iTF����������X��e�E���hGt$�v�L;�a�i؎���%^�T+� Gy.�A�D���ƾE��a]
���h#�wV�f�KT
�����5*�!�x	��g�
Y,��[
�0R�
業5��α��Hŕ���
�	���'[��D,����::���
�
�ɷS�+�~�
.���
-�h�Ͷ���(�ǎ�	
2��
v&���
k:7*��Ls8þ
�xM�[�z.�[o^F��1ڎ$��
W�FW
-t������)w?�<

�㖿�Q<*��A��T���+�'���4Ж:���N�]
���,Wt�WL�{\�\�����%���hr/y�bo�H���@��<Y���6��5��q{���@�O��vB��#��_�r"��K!
�>F;p�{��%4��W�Kގ��p�OB
F�<�����Dt�
�uK���;��x?���K��~�p�b�~�V?]���3�!����hgE_��bG��o��T�k�
i9����
��@����u�?^�X����f�l
/s�^���U^V�
>��8{�w�����V�J��q~�*Zy��J�D������z�RVI�@�:�r�
���X�6����?�]�ځ`�P/[v��B��r��ϼ�C4.#2�+a�� �nǣ�����s�$=�ˋ�<�p�
-����P%z
Y+�	��
��%�C�s
-�“�"` \aP����{�B��p�Ut��p��8���5]�N���	��;oxЇ]� J�x@�M�+���#4��oW�z�'��
������)53m�p���ѷI�@�;�
-��6���>
^N ��k��D�$h�P�n���F|yE��И�Y����~��	�ʟ3�m
� ��O�w�V���5�3�d�$�emO|-U
f�ۅ��]\�u��s]OHg��a�4��%V��@�+����0�{�ס����`��Բ0N��-8
��c�x
��q�޿��?=Jj�2�S�旔�H̗J�@�㙩�Ф�2.[y$'�.��_>Q����w��^��~�N�p�<0��B
4�=Z�	u��ġ�jV`�W^���[�8�&����~�@�|�a=>�P7x�_����j�?+���NG��L*_�8�U���$4�� �	�+-7��ָ�Ax���o���?�5�u� ����ޤ�܎�FP�
(3���U%E�-��3Mc�p"��ܶ{�M6C���-�y,�`11J��d�yey��z �q
-���
��\8[��|&��#�6-�z/ERg���H��`���}�m�\
-O
��
�&��9JYJ�
�~9U�
��"
-�|_ at y
�ypW͊++V�f����J��#Ly��RJ_

-��l�@�������X�x�`b���#FQ�
-��اj�
)�l�>Z
����f�Q}.;��<pg�&(�ҙ�[�D>��;�53�
-��>�O;S i��S�_q��N
-#\(�U|'je�dpE���;��
0��C�I����������X;$v,͙$��Z���
���[�qձ���jY�
-�����yBk4�,�@H�Χ�^g��<e#�2}&�EkX|���9-�r�����t�nG>zT�I����!���;�\{���K��&��YX���/�A�Xݲ^R���F	k at E=7�F��]%Л̋IP���\�4bhA[���0quͪ���F\�gv>(���S��Us<��\l% ��Z�vzA
�)��!^d6T�Z C?���4�
fs��������<��$�|qgY�֠�o��0��U;~�ғr�ʟ06������E(���
�y�K�����qo�W�������̐��
�ON�!<���١Y
\�Q�7���E��f�	
:4f��
�c�D��ܗG�h�k�
5N at x�m�a���WK��O�K<��d��Ē
k��C�'m�	ޢv�z�|A�f�I`�#��՜ݮeK�:qV��@+�Ƅ��լ��Q�g��oq��x�ɪDg�-��\-e�+V��K	��x՟��
L��tĨxYa@�;
���)u�F� �7���U?K�}Ma�N�njyYw�`���:��[������6�o��-��(y�+�Ê
;2z�!�dp���0�I4s���1�
*�S5y�D���G{��R�TQ�w����B" 
S$��)�w���S�-�X*��e��O��
"W5Cd�_x�R���,� 
;����)N���� 
�Jendstream
+xڭ]s
9�=��UTqc�΍��4�� _�P
��H <8�Yg
�kv�q��o�[����~���x�Q����n�W��}#D{&l-�>�Z�Yyf��nZ������EU�?q�B���0y�?��o����m��&���1/q� ��oS�
<�H
�vn˿����ٟ	Q��Ԝ-����
=��v���N���P�0�#��n`��9ne�����'��>��a�?a�P_h	)Y�p��Gw$�?$�6���`?�k��<:
���O'
7��ӜD��[>�
�C�@v�؋
mݶ�1�9�����[r�'\؞/�΄9��>�N����9�ÖX�v�Z:V{�},�o9�p�Å��	���BK�19?
tM_�G!�ѦF��<�s.�iwG�"m�kG
��X��.��^L�.���ޑd�aG�0=Y�9A� !���)R���!�$���ֶ�)o0"�����
�Z��W@��
�
^H�X|kꮕ�
����ܳ�ҕ�6���F�;%�NW��� 
+�XQ��Y_q��cP!-T�_��e�$ ��KE��񋲑��<�������
���w|*K���@��Nb(�Z�"\�
J����q?���[�x��һ����E�`��1����N˲K��!ˬtS��Byd4�d�N��{
����
�*�D-�`��;I��xl%�]�m)�?���
���J=A�>�<�.���6���;R�����
_2
�BI
�H�����'Nw���u��
+1Ivu�KG��3�s03�9��	�I]�R���
�{.���1���)��U�PD��3&2��G��&
�I�JAǂ�e�^��wψ�׺��n5�:�}ht�Ke�&NT?�6�7�z�����#c��h
��_���$�|N�C�cH\f�zR6�M�NfS9��yXu�"��=_�2��/}|�ӵW/ޟ|�m8��5:�LG"������
5 z.��?�$l`7צ�P�h���R4%�#�hvҗ�s�ڊ$����c�?���B
p
{	��J���mS��S�&�;:ߧ�]��u
�������Oi&�w�C�7�[\�!|���
u�?P#�S��d߀D:��K�)��:�<%V�]�Ũ9!k�'H0���uf1�ӖH��K�� ��ΟDF���%L�/7���O�F��d
r���%��*�=(
\O@�4��{RJ�]���r[)���ޕ��
+����t�ȁ<u_�
�@�֑`]�(��}�e_��P���xA�TZ�%�4=�0����Ee
(owL�M�;���z�j!�=^�Ҹș��j2�^[��=�[SK��nJ�D��Bu�E��T�}Y՚PbzU���>U���z�VAs�;ԕq�u�����1�w5������?Pݨ̚/
tOn���ZoE�-���:U`����B��J��];6c5�L�����2A�a�	��?G�����O>+���^�Z�E�и�
�T[�v������a���)�B�-K���OK��|�Zh���j�o�9�
K��N���T�8�Jfb��ȘCA�^�L�E�"�>H\�
�wL�u'+/�ކ
xܥ�YǸ��|njȨy}�:p^�Z8��]��#n��+���[[�gζ���bۊ�v��
�ږj��i����ذ���`�/A�M�VR��;����}mK\;��f�owh�%!�A=�`Z'%�u���j�ȵ/(
g�\��Be����3�
�
��H��aω!�ܛ�k�O߆����Iɾ��p�et̠K�.��7�GXɑ�ݪY:�MR�b�xr
�|�q��c~#[ː�s ��T�mv�UR4.�5)9�����~X
�4(yl�v�1�Z���0D
�>���ծ��A�Ӟ%��m��j������Hjɷ�T�{�p(�����GA6;��Y.��~ֹ�	�����
��<�(�T���
m�x����9E�&�!!r��;�0�vO�c�,X��RczЮޒ�5������4�6`]D |-Q�z��[��z`�xQ��Έ��SLC.�@q=Y���*��{�7��e�_{��ש������/Wo�
�d0�I��9�g Fs
jLT
+,„N꘿O�r`C��T� c6�ߺ�c��܆K��m��kޡX�;_v �o�o�5�	}�0�&3z=��e���,���qՂ`��ٵ�$s҈�g�m��+�����0w����
�C�2�<�#T�b ϥ�u9���� �ǜ��+�>�>:����i?G%
+�8�
���"
�'��
� *��0�^��g�prLqa���Ã�����aU������OWv$��G���ɯbW�i^!V������N��
����P����M�Z%��h/���Z���S�!���u�e�.�0P9k;���;녘�jc�Ǡ�r~ 
+'T~4�H��_!���
���bL5�����F�H<��vP����6�ڣ��Ml�I�g���a��I�����gq�}[�`��@�Ƿ�?���r򐒧���d������K�E�O��
e=@�i��o�ռ�*�VW+�ya�
��c�"fS���s���x�@)�=z&TG�y�\
�^���F�T��p�ђ/�N
+ӏy</��k�/W.Z�
�>@.>L�e�����z�?��&endstream
 endobj
-1428 0 obj <<
+1423 0 obj <<
 /Type /Page
-/Contents 1429 0 R
-/Resources 1427 0 R
+/Contents 1424 0 R
+/Resources 1422 0 R
 /MediaBox [0 0 612 792]
-/Parent 1426 0 R
-/Annots [ 1431 0 R ]
+/Parent 1421 0 R
+/Annots [ 1426 0 R ]
 >> endobj
-1431 0 obj <<
+1426 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [518.193 118.165 540.996 131.117]
+/Rect [518.226 118.215 540.996 131.093]
 /Subtype /Link
-/A << /S /GoTo /D (section*.396) >>
+/A << /S /GoTo /D (section*.401) >>
 >> endobj
-1430 0 obj <<
-/D [1428 0 R /XYZ 72 720 null]
+1425 0 obj <<
+/D [1423 0 R /XYZ 72 720 null]
 >> endobj
 206 0 obj <<
-/D [1428 0 R /XYZ 72 720 null]
+/D [1423 0 R /XYZ 72 720 null]
 >> endobj
 210 0 obj <<
-/D [1428 0 R /XYZ 72 342.906 null]
+/D [1423 0 R /XYZ 72 342.949 null]
 >> endobj
-1427 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F29 672 0 R /F48 554 0 R >>
+1422 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1435 0 obj <<
-/Length 2200      
+1430 0 obj <<
+/Length 2145      
 /Filter /FlateDecode
 >>
 stream
-xڽYKo#7��W�!-`��ُ$ fA6��� �l=R[�ݖ�QK�1��S�E�h��d��V7Y��WU,��_Ͼ|]�s�D����f^7•�J�BZX�Z�S+���� �!�U��%�ܵ
U
�����y�.�U�N5~�W���U�.�F�b��#����z���#��w�n�3^	0"A��
G�?�ݚ��
�? ���So��%|��A�l#�׋Z����
-�qh��̗^����ڒ�#���F��5�,��
i
��y
�cב�h
P�y��G��h��ӷ
O�����
me_�p��A?
�-2������e�d���
���H������A0,�;�wB�=!��9a@��+eѢ��}���P�
M��i�ϷE�@A7�J�X�I��id��2{^� PKm"P�1�q�
F��
�x�%{���o��7�۽p
����n�0|D�{B��=���lS���GW�P�x_�0�`��5N��b�e �F�2,��XcEUZ�C# �
ۛ
�
�=��Υz%�JE�.Lu]�b@�7��
������G,%UF��Z��q�V��*#Z[Qʠ�>N�.���w���+x�X)*$��IcB�#x��<PV��=��-5Z�����S
�x"�c�Z�B%!ن�}T�w���9�H�,�
�?�-T
0�qȹ����%j,J6���j죀6RXS��-<Q���#,qp�?��q9a���QZ��n��Uu
;j�e���i��Q�߭Qq_wQ��֝G�����Q��C���@����eǨ$��
Nl������3s������ ��a��HPl�<GRO�݁'��~}�<G��i��
�v�=��6g�
`�b�¤��}
�{����[�����B+p���������<Ӯ׽o+(��4�9m}8�L�?!����o��
@�6B�qE��E�	T�a�{
-�B7p%�ߔMh@ř
-��
-�N�$����S�ٕ�&�E)|h�EiW\����(j'�7�WbLU�F�g~Y4�{1�JA��۞�������T�O�gېx�ܻ́���J�dl� ��d��_ �w�-;�����P�	�?a���'h;�������;O�??QHn)���ꏠ����m�g@����eA#��P��
���'��߆�
�xU
�BJԦ&�'-ΕD7q���	��#Щy%0C�@��2NT�%��I��� ���_9�(���./$Upx2I	#L�"I_���
-�Զ�B��L�[��:��A>��3�6u�%��J��?p��9�(cf��gئA��5��DZ�T��j;{7��79_����lְS��;�l�̷3݈��9̮f�x-�e��{<p&?�4 ��Jx�WDІ�O�k at b^/�lq#���&��F8��7�l;�
��21�Y�0`<
���݇;�.%�+�b%��]�L���9&�2�O	ݨ<�D? �)��ZT�-%�g¹�Ӭ��7O����>Ӝ5O$���Z"-��!�t"-lQ��U�"f;BSQCyvrX`]>���Er��Crૅ�
���T�u6f���VBVJi��
�e\�4N�u-�[Z���������GU���V
$}t��>��	���Q�@��J,����\Vb�
�ģ��V��!�OY�5�z[�"Y1�j���>6�A�� �U6M����_�~�q���5�9	�>N�j%�	��0���,ij����D%X|�W��q͓�)�Wg���Mʦ����e%�Q�C��c��U�^�hU#]B┿��������$ҟ/&���AA�A��N
g�
���a˴���AJ=�^�|�
=~CGO$
�����ɦ{��~�9�����cJY�9���%���9{���Й(�KM�����RYo�!+���*�;��<������	���/�3
��O=6�GE׽��o�����k^2=�� �JK[|�3WTeH�su�	R

-�W�#
I-͖\f>rGwn�	����.���u�o~�S���K���̚S�eFgBzCg$���n=z�Q�w�r��1&�ߊ�ɡ+:u�|Ñ�"�G�C�@��CW�a�1DC�h�:��O���
uq����Dw��f�y8.z�*����K�^��M�Z=��j?��
�8Q���݊҆J������0qE%��Ș�1�c�L!�o�I�BYl]%�4�
,����x endstream
+x��ZYo#�~� ���@�����5`��m �b ����HI���5��
+F�{���g���v�������������_)�J����r=�p���NH
7��������x�%P�6��3/�TF����-����{����#��ŵJX�OL>�7Vw��1���`�-.���ro�@�e!���x�&ª.Q�G$p�>^�t񄧫+ZJ���g��"�"��9m�ngW�5�s���w:R��
+^ε�ݜV
+�2m���pl���I��6��fv�E�$�h��8S>^�wV�H^����h��oٕ�6|ގb�r�,��׼�}
��z�Y�-3�0�'
)esH�:5m�&��_����yͨAx���T�T��s�H;�ε.�Ž��`���t�}�v��눅�
����B�f��繟��X"�Z�Jȝ\����
eI6�wq�|�h�˟���k�
�W�3�
�ՀS	��f|�<���Q�1C
+�(��7	K�	�Mqᔙ�)���FH� !j�l��¨�����39�:}^Đ�P����G/\�pje���˯�Qq����۹#<߱GWx?�C*�v^���o��O���褭p
�~\��D�"�Wl�W�8��H�u22�N4���Z�u��2�#��!�p�j�{�[�Fؾ��'��V���-�c���zʆ��یg�;�:���+�	��`Hŝ��ڼ��6�T�
�
>�a��� f�Κ�+f\�4�(f����2v���V�!K�2媧�
���:�L�e��DOJ&�\�h	I.n5��HV
�H0l�#/���)��A��{��@�ȫ���йc��J�'JTh�	��*�
��T�
+��c��6#�*@�J�IU5a��
(Q�}��ʗuf\]/bkI1�/��
�`kj��U��fC�D��C
+��F!�K�V]3��0�6����<
�q�k$}�!�pC��2s{�ѓ���`��|�
M6Yʞ<И(%E+�Й�1ġ)�-��.�!�@���H�
^���7Ji;���N�;9�v�G/��B���g��a�q I��k����*�D}��k����qk�
 	E?Fy}t�Nx�N���
"�Z(G0�*��_yO%D�v.�^
���H�(+Z�
"�
ef���w�y�
}�;�ܑ��4NP
��(�e{�%�I2n��d<`��>E’t�E�*/7) 0��p#�]t�DwVTWY:��:k��R�T�9N�rx�ӫ��,
��-�py�
D�s���"�0�!��vO�Қ����fˑ��	���5ԯ�j��iE0�Lumb��F3QIp�O_D�Z)��H�v��r�%LN�TC�n���jQ;]�O~�|���^M��ˉ�w�wp.�6az?�A������b�U�x5#�/��N��Q�
�B��U "�)�T
��>�3k2nQ��V'��@�r���93@�`-i�-,gጢf����J��Cr�ƥʦu���$�؜P�G㔪s,4��
��[y+�pN��8���@���K���7�Z�)���X�� #��z�n��
���;wvtX��
�a�
��
�a�u
�l��pR��
�قI���� [...]
"�Ն�ˎ@���~w�z��h��I*��}Ŷ��-�?He��
���Wx�7� M&1��.F�۝Q��	���V~��O�
.��z�������`��*
 Ɛ�r#a��
}�^�G�����G�d�`�ꉡ���1���Z��&)E;C��O)�
� P؅�>,�T���+���8Z��5o���=ⅸ �U�(���e����0�#�#��l�a��?��E���vO����sL��N~C��_Ё?4y��/t�ǥ>�����4�tHȃ�h
��αs���\��;�����WsN���:����c\R�L��db��y��S���
+�!��eC�1�, n�}X�x>�Y8��0�{��Q��kw�^�����]�4�y���g��{�E;˽��/_G���E�li�E�Hr/�<p�rP���K��������7֝�
�$�ڞ[`ԥ�?}~�endstream
 endobj
-1434 0 obj <<
+1429 0 obj <<
 /Type /Page
-/Contents 1435 0 R
-/Resources 1433 0 R
+/Contents 1430 0 R
+/Resources 1428 0 R
 /MediaBox [0 0 612 792]
-/Parent 1426 0 R
-/Annots [ 1437 0 R ]
+/Parent 1421 0 R
+/Annots [ 1432 0 R ]
 >> endobj
-1437 0 obj <<
+1432 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [137.338 518.755 160.141 532.702]
+/Rect [137.247 518.755 160.017 532.589]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.1) >>
 >> endobj
-1436 0 obj <<
-/D [1434 0 R /XYZ 72 720 null]
+1431 0 obj <<
+/D [1429 0 R /XYZ 72 720 null]
 >> endobj
 214 0 obj <<
-/D [1434 0 R /XYZ 72 503.022 null]
+/D [1429 0 R /XYZ 72 503.044 null]
 >> endobj
-1433 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R >>
+1428 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F38 1435 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1443 0 obj <<
-/Length 2741      
+1438 0 obj <<
+/Length 2728      
 /Filter /FlateDecode
 >>
 stream
-x��Zm���~�b�"�*���w2�?�A4(�6��6l�u{wj�]E��}-��;��{K��.6�"_$.��
�3�<�������*(%V����0�Hi
]R
��xQ�O
-�Iř*_�T����n|a�]MhYM*Z.���0S6�|
oA;����ɫ�
-���E�9a܏��8���(d��$Z��v]Q�����#P�9��Shb�{�`M!��ڽ�|��y�Z��N���VD	D߆v5h��vTM�Ie-����n5�0&iB��mPI&�U��ʂi�4��z>�[M(-*&	�}�MM3�QM�4�D� ���n
봜.��Z00
�7�,Dm��
���<cW��y��Y_�L�$i�=��4�nh"�K0.6v����|�nI�g+
-�
-����5f
��{���j���-����	1bL\�'�էD�W��fS�\��D�r�

���=f�R̙Q
4#�fT3�$�v(0�S]��)g%�
�	
.�
F玲,���T���*�` &F�
12ڑ� �ka�
���3��\K���Y>�m��>
�57Ip$�ء�`�>���"H�+>X�|�s�[��o��(ȯ
Zp�]*n!H����׳����.~8/զx
�V��3�	h�g?��m;R��vc=
�:�H�93�����6���|
� A,r"$��ԍ �5è��<cʊjC`B��l\^��
�
��'����܎c���0F��):�@|�ks��U�Q9Q)�
�
�^x����=�Y�c�=
.�
��5Q�5B}^���d�
`Xh��$�=1�C
�[ ����;�P�C��@Ƈ%a
-2�S�O3�e�[�"�I��6p<o�o�����S��RQ��G1EAtzT��r��� Td
��>0�XB�<T(�r�C��b
ް3`UT�sîNٰ��a��mֻY�]��4
̣��OLkX]H�!&�	�D�1yw�cU�`cwb@k���"�@Am�iXͽ١/��gzBv���0�9�omG&O�
�vt�
�>��g� �ك	!��eL��� ��D�U
l�1��	�Rn/|rpHA
�w~��;

��F���7�;�
 �f�
v���A�`q)��8k�a�0G}����Iۏ5BXJ��5����rLbr:�`~ rN69�D�=6��
��V�]����B�#�

D����[�`�e�T�������=ġ`���Ư�H��1� ��0Ft�A��
��)0�]�0����N��5�t?ۅ�n^W��U�%0
b��j3v0d{j�h󮀟Y���ß 48�M?A|��/2(i�}�����8� X���� NiЯ����P
����A�0�<��� ������Rx�=9V
�Ԑ��l
,���y���`9Bi�c������@�8�L���nq�˟��q�
7����y�;l&�\O�~1�¦��
<}��:N
��f>
�FZ���K��.`JE�u��/���g�9v�"z�
-���N���s�sEY��(@%�����W��K0Md%�Ž�ޛ�P�j��c�����Ԉ
A,ڢq�m� 
�����'��3���g^`���oxA��U
�D�+�t��r����nN�
�������Q��Z���W�3���� ���������\9���r(��*h�1�+�䝮�nD�w���r;�Y�o]�AS�w�����o��aB���~A�g��sh��s_��F��?�t
���<w����ș��	����i�"�bB��t�<M�Խ������k
��q�6
�u
^�Ś�����~Ax at _�veS^޴@8~�	IF1�D�

-=�l�;�0�e��Y�C�Ϋ����vjt7_����q�6��7t��~�$M�ͦ�c5+f,��Es�!C�1�������
E_�8��u��n_��^����YN�v��Uͺ��۾ť1`���HB��ڢ���y��s� �S�ŴuPۭo}ݛ���Ls�}�h�\��0u�{��1�`u�c�L��B��k�p��;��[|���u�~�
�
��tD�p>u��� ���k�}\j�'����=ݙM#7
q����p���X��� *gI�յJbG]�@o
�
�*FN���(�M��Xt�Zጺ�_��քi�`�*]^��e�\����\92i�lD�ݪ���x�,��}�EE K�H����P�4
	O7^�7��L�04	iʕ1��`��C%x��}�a5��Av�M���=�cg8�92���
)xE��Ƴw|�2��8�e�����/�0�����z���EB��ݭ�
Cv[.~��fp�7�E)�.��N�
I�����&��
-"*��̗�7;��1�W��|�Z{n
,x�mr<��-^~����o:��͐�t��A�ާ
0���綁2��ȝƆY���56.�$K|i��񑰶�N3q��p�����YOC:�r`��Kg�(�bHϞ~���
?����o����!�;�	*�v�K�
�����G��h��t�	���U�S�*o
t�4�;�xM/aC/�s)g{��D�ؐ7~�0VCZ"���y�)��
�p@�Z�x��Ə=o�b���7M�6���[��qԪ�l>�P��
�w.��=
-����
�2[7��4��:�s��, �6�HO.�䙟�
-N�r�mb4*�<���W���l�X83�"T���6 at Fn*�
�!��k��pq�'�l;�NĶ�.���u���U�p�Z�k�~&�sq2�M`�E��{_�vQ|��[�X<��Ą�=e�i�� �
�endstream
+x��[[o��~�_A$�M���/m�PqѠrQ��
ȫ���j�xU�J���37r���R�*p����̹~sg��tv����d��N/*m��RX#������t�I}=o�+L���8���[8��ci/e��[ZR����+8�=��^ƫKG� ��{���>���
+q���1D9q��=�+�%9~�h"-H	^aG�dk���8o�Tp͘G�B�(��gtőaҽE[�a���#�Wal�$�a�{�<��Dt��	2o4'���T���i���F��Qo�h:���A��!��L/�aDH�P��$�,Q��pD!"�?C�kG����;8��8�úk��9E��\�D#p
+/�
s$���%����ebҚ���H
+���FJ�0�4MF
� ����#$���k�!`}A�!x�g���#��C
�R�'�0R
�ㆧ�'Q�5
6<)�A������`Z�6�8�?�4�;��!��c�J��@J9��Ɠ�J^22��5xD�����SZLdEE*���M�a�,Z�
%�"ڑ��� c�k)"�(� 
+H�H1�m��P���#y��-M'L�{6-��2�l.�l����!�#�t��ק3��"�
+|"+�
 5�W�_f/_��|��of�JWwp������	���_�g?ξoY5�W�0{6�LM��JR
�ʲ�#5� �.C��V0b�
�1I#	��F
���DY��
Q�J0�!�e�o7���a
+����
VSrXM�a�
�$��
�
�� �h������@�����A�!�!u/d�C�9d�	��ld�qȠ2��PI���A������I� ��Cb*aKj"~��
2�8dh��
p���0������
�	b-f��W�8l���n	����5�C�!�I����!�$��ۋ)��64���p+�
+���B`d�|bP1��Iu���i
���6k���PVa��^Mi���4��p
�h%[�rdC8@@�d:��4��R�JP �'D2 at V
���Ix
c�B񈉪�mz�H�����ɝ� !�'2��d�b2�7�.6s���ѽ
6`�wR
�<d�N��G; �!6�
�p�}�g���fe���]%/�
��㵛�0GMO
����]n�
���`8 �Af<
e�Πo`9��}���g	e��c~ �ᠢ�y�(��ڍ2\�o���2�<	��)8#�3ynۏ:18D/�(�w&[�($��Gf�6o����1�ˆUB
+�
�CX3HC&A�� �c54�Z�����O�

-i�e{?�CT��k8AB��>�⇱]I �����$��õK���#su:^%���1�V;+\H^ \9˨�KѬ���е\��4j�֮7�8�k-{g�q�R	&���J="�3�y���n�n�)ĵ�D�N)��������/`�V�u>���
����=%�q5=S4tg�*(��� Wr��Gd;M���Y�q
IB��
�4�%���>L������g�-/���f����Kηa��,,Lo���>X&D�q���9�޹�b
�A
2j
?Q�7\ma���
+�?�����Ex���eTR��ّ����Ew��N�� [ώ������T�%�>��~޺u#��M��Jԓo��%��#{����<�?�Bk��Z��!����ܮR��uD�D��A�����:���IX�L=NH�

��A�̩����C�?�2�
�֡s6����K�xm����@�K�.��?��������41�����K8��y����gg��n���l=���-`Q���S"4���/׉����%<�b�]Z	ބM-@���x9�7D}g.�\`g�m8O���ˋBr�( �z۶�~�y@t�R>oa(�ca}��V7��
ݭ�p+�����{q��f�΅%�e��t9�/(�Pm��l�
+%)Lx����I}'��u�%��d�����Ӳ��[����ss/,b�܄0�ΌAS�j�|���X$�A���C��tU��ܽ��\��S�@�&��ܖ�,.m+�����>�
��nRr¥.��ҝc�T/R�v3����ѽ��r��-B�T�EO����6��"�Mv�%D!���P
���-�*�ۅ &�g�\D
*���C�pf,�
5�s����Î� ����d�KA�3ǝS����U��
�GGt]�#���wO��ш��S ��?�>� L�@���&1
1�"�r?XDDL�=o!'@y"�O���]'�Ӟ�ĉ�8u"ȁ�^���Y�%���W�{��}�ཧ�g�
+D-�*��s�'�Z��~Q_(�IۄxR���
���6亿'��I*�k#�|�}z�}m��
f��~��L(y���{c�Ec\��_�����k�"��ܮ�iѻ�>���o�.��Ƭ!�mGN˳${UrI����MLt�}����+�ۿ�t��{���:k֭�<U�"�bh#�e�r��0
9G*㾃�n�J�� ���oy�s8�
+Ǐ�_	�\ۤ�?4?�p�8~��봍M���6}�b��J	wv����I��%���*���,d��+JpqB�B���?���	�ڊ(f���ϰZf\�j�l��Bм�
BŲI�
|+�$�2V���f�O�I�Q0%I�L�S���IL�����Y8���>t
#&�Ǎ�j�&K�lͮ�9*�|{�#�1��h�`�8��}b�L�i�Q�V
ӛ�_.�p7���ބ ��n�
������^�'3������}g�k�Gw�\ZZv���	3Hj��@�gS	�&~��Emi~endstream
 endobj
-1442 0 obj <<
+1437 0 obj <<
 /Type /Page
-/Contents 1443 0 R
-/Resources 1441 0 R
+/Contents 1438 0 R
+/Resources 1436 0 R
 /MediaBox [0 0 612 792]
-/Parent 1426 0 R
+/Parent 1421 0 R
 >> endobj
-1444 0 obj <<
-/D [1442 0 R /XYZ 72 720 null]
+1439 0 obj <<
+/D [1437 0 R /XYZ 72 720 null]
 >> endobj
-1441 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F48 554 0 R /F32 668 0 R /F51 1171 0 R /F35 1440 0 R /F54 1447 0 R /F70 642 0 R /F78 924 0 R >>
+1436 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F69 550 0 R /F35 663 0 R /F72 1166 0 R /F38 1435 0 R /F75 1442 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1450 0 obj <<
-/Length 1790      
+1445 0 obj <<
+/Length 1741      
 /Filter /FlateDecode
 >>
 stream
-xڕXYo�F~ϯ0�� s��� }	��(��p]�A�����PyDN���w�X��)�y����ٙ��Z��}���Q|!�H���vs'"/"'��	�;�+�Շ��4�3a�o�\8�s�r%��я?.��
'��#b�3o�[�nd��-��x�H_u+�Ӥ��2�7����6-j��fh5���4��
�~닦���+�{zM���8:`-�7j��J���[55�\���v}�;ɓ
��ƽ~�M���[?�OY�"���	�
��gZ����ښ"5�\p��!��]߳�-��7�����P�S��ˊ���[M����C�i'��D
`Y�
:^�F-[jq��#����-K���|Û
#RԠ�2�(��L�z���+W�t(٩rH��[���k�:pNZπ����?_-`�8�O\P@�YƆ���зZ�m�44U���8v
��
-1l�Zb��x"��"[���R�
�ߛa�^�>�"3�R2f�.AR�e���O���[�X�l
�$��J5��8�˴o�uO�%~2,wKnnb��:_��qL�y�5-%��a3!��&@�
]��M=�ʴF���3��
[��	X�Dg��7��q
ز�\Anǖ�sU[?�HG-�T�T (}*'Xu�
kQ }�
��U�T�ʑ�ܴ�)Ox'�Q$E�r��'����ߜ�=d"��-���"
�#�L���h�!n	YÙi:�N��d

-/6�T�Q:��x
�+u�K�vq�=��(!�i#d�̒��R�
�Ҫ�j��rL�{��U��
J
&�p����k��gt�C���A�a�����
 ޱ%2vE��Y�ݮbh��0*hWԲ�$��� �]K
9S��*��^ժM��
|��D�!�9RW���
J&��ۢgZJ�Y�3���
-��QG�)m�j�s�{kn���dfd�� � ��PL+F	��a����I�U�ț�0�<��h
t{h�T
-�Au�z(K��5���
(9����qfqY7&�RP(H�=tK��
�?h���z�'CU��LzE�&[�1 �3붇#?�O&�hɯ��5��(0�q�"']��>�!��|ؕ�[/X�
��*A:B����7i���Fo��Pe�

�_�x���w��Nj��ܙE��\�iI��%�,<��T?��20�p�=wV�q�B-y0�V��
��Ԙ�u�ۂmoϞ�*p؎���3Ҧ��8&Q��eD��C�@U�nwyZp=W��LڳBwG�M�
o اz��+	2zQ�+`f������G'K<��m��Q'8w �P��=��m�y�O.�W�P��$
-f~���ͱ�C�F����w���⿆U���5�%s���݌��};�z5jS�6��F��3��t�i��8�ޥ�����Ū��u*Au
-B›O���d�Hg<�{T^��1�/�z�sVƎck at a�dse/��K�R�����-���U|�����2�[��}�)K����>
-���1E�/kZ�&��f7��?���Xr3A�����>j�f���z�
���
�K��s�S��0�M��e�q�v,�����g�'��#_�@�w<��ގUҠ�|�h�#!����e�'s3rb���
m�F�@2��P��Mwԗ`м>?Vÿ~<�}��֗�p�h�
-h4�ak���������#�G#��8xj�Cz���
- �
1Mb���?5�%�B�0�'I� �B�
�8S��'M���ݸ,���
~@��~�@)���F����
-�C�u~M7^`7e 
uP@�sD�`@`�G#��#OG�
c!]Wߗ%$-���W�����Fendstream
+xڽY�o�6�޿���"N�^T�})�m�b�< E[`�-'A�Ȭ�n7l���t�(��}`$S��=~� �l����dZN�e�M櫉.E�O�X�8����[%�ٻ��@�rF	oE�MbKt6��g0���=�_`��U��OcQ�.��f�ʧ�����2�GUϢ&�}
c��
��a\¸��ji���!��q��6���M:N��p��ɵ��t��a���$���p�/7�+3wc�Kxh&ϠQ�DZ�I�R����&]4{:��{=�2�L�u�5*W#��8��"��6���G0#�"p�,2'�TZN���0UL_����7(�J�t�����X�s�
���CǛ�#�cl
UdT�D�E$���{�!t?m�i1��D�kB嫖v�B�8u�0+�
��
���L��'�n�T�.����QC at C�<hN<����tR1��a��_a����E�Pd�v���T6��Kk�\7��
Kec��l[2 ,���k&���4�s
o-��'��};} G/f� �V�O����-z~/ [...]
+�[$͋�6-
��
�����
jf^�
�nۤ�)`�$�rK�]�."clX}��(�i���P*F_�����
��Z$KR�+ՇŊ�,f>Z28`���M���� Ǭ.u.d��lp�� �X;��o����LM�\P��0�7M�$J��:�^��l1f4��Ҫ���Z'c����k]�&@!d���/Ԝ�k�Rd�3
3��;߻]�/�R+��
��L���l��{�f���f���Ll/�%�T����:�ٳ�j��&�!Ɠ8�
L���
,gF�Þ�0���}�J���p�խ�x�c����ݒ�'�e�g�@�|$[ǰ���bH���ByN��G?�WgWKR�~{F�Z�&׮�Y��qHu��ؓ�(.���#�br(�[�kh�vm����K��
+%�b��5 ;!�;
1�|G7�5�"�q?��a}�K�L.���tR	H��BC��9 �\���c��h#qD��-�O�\���Bz�������
�x�g�w�$���{f��*��t��\�.(q7�e�)�*�H�hជʱ�<U �;^G|�����S�{���4�y�B�χA��m?l�m����Ã�׉!�� �e��{�y�~H���Ҋ���+�H��QN�Y� [�4��f����a`+J�u�9�s��<��������[pъ������+�
�'
�f��$��R�jRlDn��
׊��F*֊�Eyf9�d,�J]r��^��:����¿
8a�jZ�9���+u����3���e�%O�U���(]ug� ~�4�Wh;�ame�f���������[=���{ߝ�|���XA��G���g�-5��ӽr����
ܮ���0x�:�T �wDv�9Q
+(���H4�8�EK4p
+3����3RE�.!����S�v܆h��,!�b:�-Y�,X�p���/:�q��
r��޽^�N�E���x��_<���֘��ҁ��S��a�~tѢ�ʏ�تkr�a�S<��*Pu

yV?ҝ�9����O^�?)���X��$̈́��~ex� �4a��_�X��
	M>n:�;�~�֡�Y��ĕ����wӖ��{I�*��>$	�׍Ӹ��v����Z�
�c���t<
 �xO^̟�S�c|endstream
 endobj
-1449 0 obj <<
+1444 0 obj <<
 /Type /Page
-/Contents 1450 0 R
-/Resources 1448 0 R
+/Contents 1445 0 R
+/Resources 1443 0 R
 /MediaBox [0 0 612 792]
-/Parent 1426 0 R
+/Parent 1421 0 R
 >> endobj
-1451 0 obj <<
-/D [1449 0 R /XYZ 72 720 null]
+1446 0 obj <<
+/D [1444 0 R /XYZ 72 720 null]
 >> endobj
-1452 0 obj <<
-/D [1449 0 R /XYZ 72 183.18 null]
+1447 0 obj <<
+/D [1444 0 R /XYZ 72 183.185 null]
 >> endobj
-1448 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R >>
+1443 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1455 0 obj <<
-/Length 3220      
+1450 0 obj <<
+/Length 3126      
 /Filter /FlateDecode
 >>
 stream
-xڽZ[�۶~�_�q_�S
�� ��M��$3�L��C'�W����͢��?�s(R��^;�Ê$��������ﴛ(%�����M�F���AH
-�
-��6T��Cs���_}���L%J7�4R�kU
4�U�B�G=4��zj�.�ռ���?�ذ{���{�O�|������[���
Ʃ�T����{j���������]��u����~���t<�'z�6��ՋE����wj+�d����цVk�q	?�9 �S�=�v
��ؿ�E��T�=J9��G���C^��N�!��w;&�tD>��/��t�����Y�i��Ƶ��
?�
�Z'*W��ۯf�a��dj Aʸ�T[!��!�)y�X��Ⱥ����
~.���UuD
-�7 kPп!��.���e�ٵ��?�<~�J���?���h���v8�c�Ŗ9o���
sBn�L�<�ݏ@r�����k���{
R���Ls�m�
�������ii���7�A�T
>��b��`k�-q� ����9� RM��C��>\�������n
!�7���a�������kV)�[�1��
�#�c��7

I};/twk~&���?����-M�Ӣ��E���i
�mD�:�n6��f��T�r��T�ؚt{�>�&ۏ��[�¸��8��
�CgCv�~J�
�Ǝ-�.�
-$�����2�:�R�j)L
����b�.�
-|2�'�ê2�TJ��4u@��ǀ�.���d��_;������u�L�{X���6�K�T�xW����vY�7�E�^n�}�m	�B�Hݏ�S��$c�|�N
���U��{�e�-�U|�>v�fI��4�r�J�:8F�6�,��u�i���	�^%��ʺ%�
I�׷�}�_�%0�
Z�29�,i���d���&���®�vV[�� b@t�'K��Aj2[TA��whs�C�������NPK�|
;_�‡�O���1�Mp����S�B����C,�2su���u�t��zC������~�{��
���e���S�ЎE�‡�
F�C`�$�A8C��M��c�Qw��K���H�xX/*�2�� Y�G-�
J;9�A[�YΊ���b����
Ì	
�f�
-��+�Am�~���[f7�lJ�[���:76u�'�$N|�ET�h�Y:4��K��
f�:�k%K�$�p�7�
�i]���9iNԟ�3��8��i�w
i�@{�4�N�.|0^
�HY*"rl�p�A��%=i�
dW�n��)���.�EF��m;b"c;��޶;�p��
c�-5?�
�׬�=���-
jY[c ����U�|�O@� ��An΂<@X]Mc^#��
�U%�-���@ �
ɾ��6y��D�w��;�1��.��:\�
�H���m�gz
�y
�,�5Xi�GB�I�tXU`~B����{h�/G2i0�'�P'�UL��%5��WUa���|��w*�9Qy9[k~_��/~��"jڡ�vU��w�L�
����wÃX��}�p�u1��[@�<
-sw<|��|�������%�+�74��n�mc�>���h�p쮷�knX��
N��ݯ s�t`t��a��&r�}p���~��$
ه�z�Gi/��G�k{E��'�ާ���D�Z8	
�8��O����i�<d#b����T�)� '�
@*���LJ�QŎ�!�XDWؗB��|G/�]���`|
F�h��i��
�WL ��P��

<Q)��9u6�C2�0�ƚOb�z>�� s(h���?���b		�ى�$��J臆�w:K��=�Ka�G��x
��ӥ!6��~F3�3"���#�"|*�5�/�J;��+���9�[��zo��?Ư�E���:3]	��
�S�T�!��^f}`)���dR�|��Mv	'd��\
k�.�	�U�u�
�cw�)N=��hѩ�^ H��7�0Q��*Ke�ӹK�
)}�/��
����Kc�P�1C�tD�hx�M܄p��0��XC�1
j�m#(i��X6�=�'B�P
-U����s��9�����6�3�W�#\��
a%G��y�32I�fQ�i"��Zݲ�5[�� @�y�C�,��]9���#M��
���i�
3%.��es�V-?K�Y���8
�F�$,M9
-����\%O"�
�L�D���C��W
-\9�������VQ �^�pMD��X��9
:$,h��"�1��a�f
V%$VC��*o]+�T�V��MC�x��A3X,��_�5v�`�`�aH�˼
��r.�.�悝�B|h @�:��<�`
���}lcF��~��2�دr�k<����2�oRt��'�g��f`�&D�!�u}�s��Tx�^締��5��:����
<�]���%>d��yE�.��/R��T�N����C����B��|��=�X����L�M	�I�
<��v�����h E�
��|؜IN!���&/��S�|s��dF��$��$�œ�:�LV��5a�15��䢥̟t�� B����
-�('
-�"D��Ab�D���ջ��������p%��a���e���+�gh:~.�~��G?�4�5=L���%
�
��u	s�O��s��$���x$��&^�ذƧ�.�̏l,�N�VIu�� 4`oc5ՏM,�$�<o���"�M:�+��f\�^��1�j����A�f���4���}�Msɩ�+��aBne<2������S��	�z��
ך���vutӀ�`�ΚM�g�l��S
�� �q��=���
-��꫾<o\89���|��
��ЕNT�u5w��Y����%5��,͸Nol8[��"��9�>�ToNK���0����/�֟j2�&�(X��-pFs��A��t
-B)�!��]nt �x�
-
�|�̅-����t���сV|�1��@�R�����^�⅁]<78w�
r)��%�W9���)��֘/�	�9�_���û#����Y"F��I-�J)�<I��TqO9����/�\��Kf8��=����4�
�F�8�챾o�L�'[�݀��z�gv����|�a2�}w�\�M�����'��;�qK��������"�Y�'x��-_�[
��D�
׎�Q�py%uU,[ʘ�R��Ô#�
]HL	=δ��n�T؀�lH3
�s���(#f񆓓��|�7��{U%6�����X�Ϫ[J)�oFb��i,�D<����u^8?&����#q] ��ǁ"oPH���%}�=��n��wx ]��������d;�x��1�� ��.�endstream
+x��Z[s�~ׯ�/�ԋ�~Qꇺ�g��d���Љ�@��M[�d��K��{n
,A.�(�Ľ`q�s��w <�<��9w3ƈSjvy5���g�ZB%<Y�<��lN�;i���-\�������
�
�	G��3� �
��-+\�ml軻�}v¨�.w�?�^.��}z/�%~
�G��*|����p�C��f�;�6t������˃_�^��U!�>���q����!^bOo�%m��,$���mx�;_���_�雖2;�sl�1I��^U�8��(+uF�u
K���_9�WT����aL�D4�4W{/
�x��3}�6�Q��z�c_���ǹ�ZL��85�“0V��0�vr�Rǒ�^=D�,���<�UD�Y�%�N�oĉAa4�R���U4P2޺���6�p�&�	G�"�$��kT��Ux8�T���^�N���cÇ��j��������G�6�O\�<�_�P��V���׫܁}��"��.6�
�7'������\��%��� [��ɀ���

P��;%���������{
��Ϲɑ��h�m97"�2��>��?O����j�q8�/L[+W��
��o!,;��҈������8��kDί�\��/h��'��6���
r&�߄&{����Mk�r4��F����0�
'|�����]x��㺍��)�7�{6���	W9k_ a�k��ˤ$�l�'-q�0ab�ۢ��i�'e�F�!Z����Ҁ>D}
��-��L"H
�I5�I�{Sf�IT�@�C�d�
�`c�d!��_q�1n���u|�up����>�G�@�
G�^@�87v��?�������sa�����*=R�YN�
+>��M �Nh���»�BuSa�Z���Y!<L�.��_�x�]:Z��Y�m��]��R ��s�#��I	^B\�
j�d"�e��_G*��Vj�hP���>	
M��N�S at G. �l���1�HD`��=8��.4=u
+
e1ˁ�$]lZ����?
�X�# )1|��
:2
]w&��M�A8�9�t����]�Y�
���n�N�

/G�~ڧ��7��3���5�u�ɟkrI�媲f�|�%|�)�#0m
�;�	�^I
�
K9,F%Rb��
6+�kh�w_�$J�,L��@!�rh&���ܾ,����f3p�Tv�Y���.f�[
i$� �ǰ?�EԸ�QH
l�'�L��A	׵����H'E�{�<�A
+����)Nс�=�KBR��AAۄ�_B�=|
>Me�P�s�
��=�=���
Q���I�2*��C��M�
^��Y�mB��8�.��P%h;4m(
+K
+?*��0�u��r�a��8��H7�_h�����P�:>��E4>
�t (�#�<֐W�,�16A:k����C��}Y
������h[�0�#1{I��И�`�EBGȯ2���F�H�����.��l�Aꁍ����}�Yn�_^
�)LY"r��4aS�WX�N��(*
!�U]����
��׹���\�X�~�a�)FK�k�!�����{j�_o�j��1L^��������A!Aa_&a0�d�,'*��_&T��!&&� ��(�!��Mxy]���{������})
9C�&�<�^q��Q,6:��!&�b��W9�| T�l��R��

'��͈+'�P8��X������ʦ�:
b�PS�
+�G
"����/�W�:T�i�62�]F�򔄉�Z�嬆ճ�����IY2\D�۪zBMaJ�D�"�-l�XP-@����Z@	��9
#��
�R�#�*�+���(I���2H��&�(�p�*j�.�4�a��1G�ճ�k~���(�ҔS��o���ڻ�V��˜���"ƈ�x��Hܠ���)��T�O�B

kd��fbW�mv��x�M�lDwDS��kܵ�m=-�͌
�<����
���
+*���&�`0;7�]ڇ��)R &-
�k��k�V �T
���[E[��ß4
m"8��:�9bN8���M}�F=�5
�g��6&��*�,�wh�N�m��[k]��
�J�)o��"�w�P�.Ѿ�e,߰�*�Λ�@`
Ы˷#���k)��,�tO��bC���-eG�:w)�nC_����� !+G�p�#�
+X1E�Z�.�&Ҫ�()ߵW��.��W�܋����A����P��xe�)bۈc�)

u�0l�J?
&Dz��@U\0��N.�T		�|k�|sՊ-�U���|M:dUEg�jc�f�ll�
+Tp
�; �B�d����t6����ݧ
�H{�EKȄ�k/Z�s�Җ��Lb�c���K��/��u�r�CwI�O���yw`��IF��G[(���Ȍ���v�G��܈df
IU'Ư��+;L�������&cKl��i�EP���{���ͩ�
{*y8��a�B��+
+˧x
8~t�C`A
!J֟o��@ԥ�_a���Y
X
M���]m)G�����G�X�\��-=�*�����g�D:c����AsP (_g��ه�������pF���'�5gݞ���n��^��#�եκ��g{ݸA����O2�����O1�����q��?M>�AU
�G;��֗PX<ؘ�^���<�z�s�(N{�-��ܸ^�cL���ʵ�6��l��B}*TMb�-�>��[
�!.���
Q�Ii�Ǘh���9^�&�\��$��R��(��!�M�ԧ����>۷�Α{n�+�Pua�Ÿ��a��o���Ӄ���
:Z���o>2������*��h��Pպ��}U���~�P��{Lq��1�B�	�
���(D|�}4ѱ
+S`5-��' �(N(-��
^���n8N����|i�t<~�V ٴ��Ԫ85�
�����aa�
X�
��N��ՎX6y"��9��q�����Q����.�pyU�,x^���,~�>}3›b�˞�o����������v_�G�����f��E��ޓ�϶�F�UGS}˧��Q���NR�o"rj��>�g���8�Mq�{�L
��Й�D0[m�}������F0q�q��1��e����+v$��G�˄�]qR�un����éV)��>pUΖKC]���xb�/��q"�.
w�-d���1^�ng���!݌�,%���V � V��p	O�{�߇��c�-u7�Y�:k`�Ă̯�X�7��h�4���dv�endstream
 endobj
-1454 0 obj <<
+1449 0 obj <<
 /Type /Page
-/Contents 1455 0 R
-/Resources 1453 0 R
+/Contents 1450 0 R
+/Resources 1448 0 R
 /MediaBox [0 0 612 792]
-/Parent 1426 0 R
+/Parent 1421 0 R
 >> endobj
-1456 0 obj <<
-/D [1454 0 R /XYZ 72 720 null]
+1451 0 obj <<
+/D [1449 0 R /XYZ 72 720 null]
 >> endobj
-1457 0 obj <<
-/D [1454 0 R /XYZ 72 720 null]
+1452 0 obj <<
+/D [1449 0 R /XYZ 72 720 null]
 >> endobj
-1458 0 obj <<
-/D [1454 0 R /XYZ 72 686.124 null]
+1453 0 obj <<
+/D [1449 0 R /XYZ 72 686.121 null]
 >> endobj
-1459 0 obj <<
-/D [1454 0 R /XYZ 72 647.927 null]
+1454 0 obj <<
+/D [1449 0 R /XYZ 72 647.916 null]
 >> endobj
 218 0 obj <<
-/D [1454 0 R /XYZ 72 597.323 null]
+/D [1449 0 R /XYZ 72 597.32 null]
 >> endobj
-1453 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F54 1447 0 R /F35 1440 0 R /F32 668 0 R >>
+1448 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F75 1442 0 R /F38 1435 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1462 0 obj <<
-/Length 2243      
+1457 0 obj <<
+/Length 2170      
 /Filter /FlateDecode
 >>
 stream
-xڽY[�۸~ϯ0f_l4抔(Q�<�H�b���b�$�,���+��@��{.�,��m��Ţ(���\����ݫ�o�`!�H�^��RC3ы$0"��k�q�-Vr��~�n��2Z��w�	:߽^}��a,�2QӜ����O�����8q"g
t��9\�*����ů�8d�3�-�6�L�|�Z'*�����_Q�WhT����Dk�k^
~r����k�GS
-�Hc����MU��G����t��~|��v���P�vRG�'�N�:&
dvs(�a�*�$�,���+^p����i�l�m�{\�ß� 5��͉�[�����
ȝ��(`=�y��n��F��zk��0��;4Nyhg�9ʮh?�<s��1ں�l���u��u''t��C_(6��
�ZJ�7w9�6�Z��a�t�~��V���N���b�`X`h����A�0L���@9؄DPb	^
$�J�l�����(ۖ�؃*S���/T
��)Y
CӾ�4�oW�ME�z�2���;
EW����I'�	�X$R��p�� -	 I �B��H҈F�<$2�%����c2#��,�+d�֣�R"
���v
�T��$�n9�(ژY�-X��T.��`� 
�}2c�f
�RC/���5�Ŷ��=Yvů�r���evlٔ5�ҡ�v��Y��[��c�Q
-��b�ծ�j
�C�� 5��ە��
�!]�N��xm�N�
�A� �
�FjW�%j����t���I������O�9�{~w�Q`T�L<���	�Xs��:2@�3t'��B��H��G5
��;fkr��p���e�A8;Jf[�<zw�'g���E5��
V���vhJ�O��ס�7%vܐ�X!Cg��X1>{���\�W��W�¶�Y����[��l^8Њ[�*�R~�.�v;��
I"���@�uC2~�r߲�>y���
u�3rۜ��$��Y!x����
%�~8��(��7ˏ��}	d�rG�\�Fw^��+*����x�5۞E#�\����Sad�>'�oH8E�WWOK��ػ��vSZ��F2	��N�����56S6"oN&O�K7��~������*s(��m�-d�ie�Rp�ۢ=Y�/;��PDZ?�ЊS�&�_P	T0JB�w5/�
*n��o��s���>0k�>�5��2�R�z�d��
�w��18�!k�e|���u'kx%�gw&��ٚE�Z�ް�p��z�/�~,T��c3���f~��y����e鈿�t�N{�Ú]�M�хR�J��H�
u��еHRc�{�6��j�r����F��fS���
-�[��0�$>5�Wu��rkC���];WG@���r��
���
�N�Z7s{3r�������*��ji�
�-\`D�{7 �Vf�v�HȈ
i��{�c)}/�R�
-���*�
�
�,I'\�´����
���)��n���=7Gj8�����rX�
�CQ�
-8Q�
�g�ȁ��o�B�t�����$��֫���M=
�K$5�'ߺ1hi
p�*(x
̰Y4܇)�VT3w�T��4u�y"tŝ�4��h�1�Fi��	�9� %�X��[��p2Q��x.Ti����l�E|�v����j�ܒф�:@�co��
��}l'&p��/ ��q>��`* ���/��Y��6�7]������l#8�Q�l`9�����Wf
���ً��@XJ~P���9
#���*�yr��@����7Pa��W�@� ,
^ 7(��6P��
�1�H���(Sz�����@g켵�"έ`A�a�*��`x���H�Cœ�a����hK��.FN�[W8~�ǫ:��G��c>
��;�
C�Z��c�=�P+��U	t|�X�h�@A��
C�|��� �txK�7���'t����8^���w#�
-�x[U�H:_�AH"X��H����
U��}�4�'A!�—�U6���
B����Q����W�QmcWA�;nZ��w�.��y[���烍=��֦^���j�alo,}�.��}��=e���B���7;�R��R�@Ex��\��S�v@�f>5��@��eJ��~�ɒ��^=�M�
-M�H'�˅�X�F=�ph\�)�Aj��⒖���M1h�m�T�n�*�e���c�����ǻǗA�kN��+&t��/���d|r�`�P����ݛ�����q�W
�t_ )�so{>.�w�U��8�a��&pd�L�=�4����Yj�G�c 3�铐E^��{�/10�endstream
+x��Z�oE�_�W��~�
�P�D���jypl'����4)���������٦-��S�w�3�����˷g��x.�=�5Ɯ�]�#X]듊׌kx�x=Y<�%\�p�
+�
�퓩j���9�'?��
\��u�䷳'�d*4��"���qyÍ�̦�b���-���k��
�S{
�+�Z�v��]��
����$O��§�h��3��G�@�cv�I����h'sݓ7��s�&��ے��p煍��%�����1�'&�l?ω��~���j+q���Pm�p�����
uNnno�h�=FDZ16�}����� eFj/���9*��A���#]w!���@N�n�|xW�Y�5n#�gM;�?{i��tt�#Y5��%q�vf~��8eT0lؑ�MB}�1�0�o��Ħ�S!�l2s��^|�
�&��k�L���g��lAi��h�$�=�	&kg0�ݦd�$-���
���
�,�7n��/\��
w��<�}�r&�vEt�vI��ux[4'�20�c�m�dbe-�p��
o�����'k*GR�(0.� 3
�ʓ�&�H�%E<D��5�%H�
����d��?�B��([2�N�Zkfe�V�I��/8d���*�D����n�T��
+���r�ED�:���kO�!PsE��� ™�Y'1������|����	��/jêZ�v��MA𖴁�"�p�e�e�E-)�Q6f�,�Y��S�&�~��⬒�����Y'1�*���#,Y�y�=���y�|�=��eBֺ	��/$$���[���a/Vepԑu�@
9PG�1�o���]O4fA}F <fe��~GĢ�&� ���
S�s�z���A#;n�[X��?��=9�5�NL~+ 糁
�Zvv��U��5��v�K�z6���Ŀ����G+����p��q�^
��6�Wo�f>�^*�W`x���8�uhj�d
*�:�Y�z��~-�+VY*Z�#*7���+�BGT�-h���v�fUpc�Xp���<Q�csf�v�]��P��B���Y�>~rŸ����T=�ۃ#�@�<P-��$��h�����%J|Q�k��n�5�U*DNH۷NK�]U.*�W�{�6��|z� ���
���3iqvE6����,
��M�
N�6Yz�D�
~Ӵ�H� h|j�j	�¸��m�Hdz�BaN*��d�<d����șbķ5x{t�
B��_�6�Q���d�`�O�`�ΐʓk�JX��3�-k��
���6��@yi��\R����c�z�i��(8��CW#/{����Nf$Ǵ�a!d|��� ��}��t
�(.���w�"筧�=��vjR�D���~/��V��_$]�(�!�t^t�ַ���
Ó:�ћVh�|rvձ�`/$����7��Ch�D�ұ
��N��lg�Yb;�-�Ö��(���d���*�d!5�e�<кaƚ��d<
cR�
�M�� G5x��ۦ�7$�JX�{�ry��EYW���$��!k��	
�h���=M�jWTT�
�JB>��	�Z�:�v�S����>���~}L�@<���+�'����,Z��{�k
+o��#������nY�����F��ϊ�
"Z�آ[0_���R
+�J�� 7��
�U`�j��I<��M�}I�aC��z�h��Vt���/�k)��1F�Ҫ��

�!�U^�}
�A�S�����#R���)x9�X��

�d�Њ��T^4���s
���xլSu���p�
��9����Mj�Y�\̻U��x�,�d
i�UA���
+6�s�=YP1��7h�$��ç���(MR���P�S�T����%��Ulr�O�vΩ��]�<P@,�Y
�^d�O3i���"�*����x4����|UJ�)��?N�r�밍2Kj�m��P�Wqd�`���$	d�q!�҆��c�)��@�:@o(�pA��eQ��n�#��:w�!��s,�풎#��Ҁ����tAޡ�m�+�W��35��fYv�����U.���^a��/�*5�"�K 0Y8զ��0���h�m�{^�
��UR�
�L�l�9(���O���b�ԹB�A���Km=�̪��,�&P]w�^�֏M$j����빉��z�mb�� �t͈�a#TF�XU���&~��E��/�Q�RuD�
�pz��x9�6��c��O頯�a����&j��U0���
�
�t��endstream
 endobj
-1461 0 obj <<
+1456 0 obj <<
 /Type /Page
-/Contents 1462 0 R
-/Resources 1460 0 R
+/Contents 1457 0 R
+/Resources 1455 0 R
 /MediaBox [0 0 612 792]
-/Parent 1465 0 R
-/Annots [ 1464 0 R ]
+/Parent 1460 0 R
+/Annots [ 1459 0 R ]
 >> endobj
-1464 0 obj <<
+1459 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [197.884 172.055 214.834 186.002]
+/Rect [197.762 172.055 214.687 185.889]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.2) >>
 >> endobj
-1463 0 obj <<
-/D [1461 0 R /XYZ 72 720 null]
+1458 0 obj <<
+/D [1456 0 R /XYZ 72 720 null]
 >> endobj
-1460 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F76 747 0 R /F78 924 0 R /F32 668 0 R >>
+1455 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F142 743 0 R /F149 920 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1468 0 obj <<
-/Length 2900      
+1463 0 obj <<
+/Length 2936      
 /Filter /FlateDecode
 >>
 stream
-x��ɒ�����,���*
�*;��탣*;��C�h:�c6G��>���
Ar6%Rj.�f���迼y������1�7��1a�g\Ó�?�m>̤����\I;=���t3�-��]�x�g0Ϙi������4|�ݜ5��
��f���~�7�����
Xx�.���l�p�4��W���C8��`���}|�j.6�m�]�h�~7�כ��a@��̋0�+Ŝ��Ӵ!g

�Lx
�
/���w���MQr�
-�!M�wa	Ŕi�4n�v8j�
r2p�qJS@� 2�9��@.�髽�a����,h��NH���s��+f�;����
cܴ�1�U"�(P/��㕻���*�B���uBEw�YP�{xj&���`910�i8p�
��
�B1aA�݌WQ`S�=`�W!2��~�N_x�MR
3ҥ��ޟ����ج��)�%(& .(�
�U||��|}���G�W񤯷�?�W7�WQ�
�G�7L�g~���Ƀ��n2y�����YT;���ϯ�
��5�4�Z/	&pp`�u�
��@|z+��	�
7{�s@�eV��Sc[7�Q e~��zUph0IK3	�*R�_
-�W�x��|O&s�D�8�2�+�z
� є�C~!�c.@P;C�����Z

-]$3A��=���j�T�p՞�~����1y������=/�o�,sa]#�R��GFIB6����T
-�P5��O�=D�Xi5T����_!��.�[Ów��dI����F���!$7�$W0���
}C�>F�4Fz,ᑭ�K�X 7	�)���̥xts9rPc뵏N�z�,�'S�d*h*�]L�{2�ߚ�4�*�eLe�P|S��#��1�6?�ʧ���T~��R0��#G��4�s�ܴT��Ճ��»{�F����a\p
��Ol}p'�'
�\hτQЎ�;xs��9��ժ��������f��=����]�l���9�xbK��Tb+ebMl�
�'�n�H�<����w��r��:�]�#�bw�+U�(�;�]��[C�g��oy�{�Kwe�+�a�_y]� �SR�˦#R���)
ڨ�{��^�ʔWOG�&�ޯ��7#g��q	���e͹�?�@y�*<�,�B �;�~?a�C|Qa���0�叹�`1`�
Ȁ=/�M�������B|E�(�W�/�#�
���
�e���S,q�U ك
;7F��-�0��u�.��n�(>X/�8�<L1C>��b`Q�w� [...]
-X����c%NO�5�fJN?c�L��۟�u�Ab�,�űm?��k
\��nHO.��M�]���;<��k�]��V���&BS(�lil[�����4�̹ZF�u�LCf�JT��lU�%5t����SA��9���i�����.ˈ"	�^/��,�%�<<�sN�
M�A[v��2��ÄX�iM���G�ܟ�™ar
���i]-P�.�ȝ��$,ft�P


F����B.�>�D�b�-��u�"&��������Kz�.�Ey�9
M@�Ǻ�W%��-����lR:{E
���&���L����"�.;������W�E4yNo1h,o�,$B�,
�f�Z,6��K�

�X��ь�lP+�aCd��։��Nj&���[�V`X�Lgr����-2��
Pe���%����d�>Z�]D�O���c�,�|�}�i�se*+�x�C *©E �cM���������2��U�<��I纎V$������O��j[/�Ů;��PPւ�X$�5�-��dS�9u��
-�|"��ކ�c8��������؜��_d
dS�~
��<?P:��N���#��O=�E��=�h+J�Q!N
oA��jԐ
b�_�w��
-:�df
yF�)
3�}1d�|z_
\D��
Ϭ����}Q�j�޻F)��LtqyS(����n�-�D���A)۟c1Ml��b�b�9����A�2(ׁ͎0��i��`B���Z/�G̮�k4�U:�����Sv����=�{U�Ϛ��O��9ꉭ6���
*�
-��y\F�H9��اtn"Xt�x�g�?�R�
Կ< >�= ����:G
q������&�5ͽ�0
-׿����'N��3a2���Z���˺
a���H�,�0�1���� 0K�\D )
�qt�	�
B�t��*�8��i+
�&�TB�C�a	٪���=�	è�/�Bo�p$�I�a�0����ӧ���0�-}� (@`l},
��;n^�j
��6(y�ɦ=�Q��1[�
�K���'�xï'�1�Lo�w?�S{0&	E�M�S��>؇7|�m���-sZ4d�9l)F��W4V%Kq8���!O�6؄����g��bG*�S>�3�/��<Zc4��R����pYS-��\T�h,�H�Q���:� ��iu�%]S�
W.�����G���
�q�n:_ӳ��7�;8G�
��7�0��/��v���AI���M,���Bt
-�U�*�����^J�Qf/B*��'�[z�lG��k~�a�u����{չ�
-�lHF��r�p�ra\���3�8�#����8	C#R�D3z˪��J#3�x��${�ra��h�h�T^�C�:E_qtL.�
�šaH�s�
-Gb��pSٷ�-oM��ڗ)�� ::�*xʟ�j4Cz�}�
�t�ʬ(�5��<��P����	
`��mњ�E
�
���-=��Ą.T�d-|�t;\7��+����H�
K�"��
6��?���-��T�� v��沾$��2+���y��...�/7�_1�_^�i��h������j�4�?Rw`s>ʶJ��x8Z��sn���7�����@8u���K���	��@��
���z�}��� ��rendstream
+x��[Ks����W�qY��~X�CRe���spTe��
(�QK�KZb~}z� �V�T��	 0;�����7݃?�z��
�V�������:��[j	������_.O���n���\�/���m����w�������Z��f񁿿��ݤW���������i��4q
b�s���ۢo�gY�7'
�ܞǗ��ɵ�I��StRy���M��]�1v��O��W�oN���_��R��ĊU#1���-����劆����HGL$J�R��j���
�B�Yz�S|o������W
��
M.A�
�V]��
�]?u�ڬ�$N�֛$��zlHmACD%�E��<�j�C֗
�[F#�f�<g�����Xaj���JԄ���eF�"��8��HTI��
����6�v�z%s�&&"� wi�<8D��t4���<�3D%B��K
�b��6�x;�}#
10\�`�<v��&�&�0����X�8�53�e�b���b�Xv
�R����;�V,;�NJ�*�1$>@04��y	N8��-?��zۅ֗��f��qyӅR��S�=�$������]ju�upZ:�1Y
�`�>�@0�Q��9����P5
+��N4��
��acO!
�`�k�
���Hr�rD��j�#�W�LE��Ȁ
ؘ{�(�<8Z��� ��<)�4 w��GU��߯������WṠÏ�`!ub8"@���
b�<@VM!��w2���P� ���ϰ��
"�E
c�Hl^��l9����ò�D�X�wS^���  sRԎ�[�i�t=$ՠÅa�Ǔ�y/Op�� Am��&�un�^I̮
+�~,��r���c9���}�͎�{�B\s���Ɏ����G��8�Ql,��
l��=��|$ش����¦X
+���8�6`�u���8j��(瑀���ԏ��v�3�/���K��7�$n�/���X
7YY���
q��Ƭ�T;�ĉnH:!����
Bo(��\Tb�N����fg�f�Uä
i.oh�blx�.�u�]��C�MU
jӻA�&���ҿP���3Joc~�*���¿fi���Cug�U�ET��뷘~
a,/񩚏����ٚ��)�,���QU|�H�G���v��	��W�Ǩ
h�������*>/
-��
nO�1_�K�lN�Ј�1�x�cV眔y=C�S���sU}�bJ$��t�������_qx�s'_��9G-�@�v��0w���-ؔ-�1����1ЌJ�)�g�4XX1�~��������
j
+�+2�I��B�.�A�(�b��Wh�����
#�PR�
�l������ɗ���
խ�M�
�
+V�=�����V��'�6u���kY�%��������ʹ�I��PB� U�J^�c�c\E��=
����4F�8q�˂Ã���a,Ņ��B��4q)/�Q��]u�
��X�4��1��֟��_��C��EU
���<l�zd�<I)M����<o?U42W
+��8}=��&�6O��,��u���|B��V�gl|%�Ugl�¥/��K��kmv4���-�<j�O�"�F'
?υZP�xz
w���
0+)�^�a4I`����!��{�r�
�խ���0mx��m�ler�5��D;�2�`R��GfIϽ.
�o`��*���7�����˳�p��h��=��[Y�Fh;#�t���D)ǽxu��% ̶�ޠu�4��I�p��e�nc���N��<�k�B��
�]�6��r�9gy�v��8Gy�F$�	�\�?b���r@�JM<{pY�S�ϕ�H
V��1u�D/Gh��
�"�"�{\���Ƈ
+�����x��'�o
�c �(��,��ݻ����J�5�h���vQ��x��;Yw�Z��>�;�u2[
f���*����[i4���*�$m����h}�\�GCj���5�
8��'T؈Dr����;���
G

+{a^�nF���>���:Eq]Xף�x�N�Z�����������tvn>|�T������� D�|g�
�c~��PT�}E�G�;�逸�(��MQ~`�6:g
W=fm�b�
�[e�8�@u�
+�(I���!�g����$�Tv4D��$75�LL
�MY�v�%����^?F��%�0��i�3
+~
;�W5���ޡ�m$ə��
����
?D�4���:N��#0$j]b���`�wc!�	�©�:ձ�;�c���O>zrs
�
+���(膧A��#��v���;�S�w��Nk�����
F���8����!|����ƪ
j�Eh�zZ�Q��3���%�n�3!����&�2����[8����q�
�|��A3Ht�8���u�e>

������<����}k"@Wʄ��kw�> %�BE��ۋ6�Y�h�9[u�c
����}v)��Ulob{��I�����I��0�Z�?I ����ői��41xP�	R\�~�P�
"�~q�Ӹ�ӱ
4����%;����z&jR��U�pt2j>��(bl�d��E�?�����_?��hS��1���e��66��񓦦yV^)���u�Ԭ5�# �vW�u����/X ��n��M���T�o�:f�9Q��ˊ,��3�-���ĕ��U����:��
�@R/�w����}���Y�^�
�.N��`3	�$gG[�{Ė�儁�>N��LۇdN�ꓴ�󊔂I�4�H�*�Y[;�B��/aج��8Q��#��&
+�T���\

ٚ��ߤ
+G
 ��%/+~r>K�L'��HFMZ�c>�!�Ҝ<(
��
Uf[���P������b�x��#O�Z�Ɠ%<Lxp^S�#����9@ν��/yd���ߴJ(�Í&�\���:�������Ej51g5C4cU����E
v��/
h�=�5z�(
T���
����շ᷽�e��u��	��N�z)�Ikw%���>�O؆�W��lm���@ִ�d���은��c}Z�s}O�}��Zŗendstream
 endobj
-1467 0 obj <<
+1462 0 obj <<
 /Type /Page
-/Contents 1468 0 R
-/Resources 1466 0 R
+/Contents 1463 0 R
+/Resources 1461 0 R
 /MediaBox [0 0 612 792]
-/Parent 1465 0 R
-/Annots [ 1473 0 R ]
+/Parent 1460 0 R
+/Annots [ 1468 0 R ]
 >> endobj
-1473 0 obj <<
+1468 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [294.519 422.368 320.574 436.316]
+/Rect [294.217 422.375 320.227 436.209]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.2.4) >>
 >> endobj
-1469 0 obj <<
-/D [1467 0 R /XYZ 72 720 null]
+1464 0 obj <<
+/D [1462 0 R /XYZ 72 720 null]
 >> endobj
 222 0 obj <<
-/D [1467 0 R /XYZ 72 405.506 null]
+/D [1462 0 R /XYZ 72 405.535 null]
 >> endobj
-1474 0 obj <<
-/D [1467 0 R /XYZ 72 195.938 null]
+1469 0 obj <<
+/D [1462 0 R /XYZ 72 195.946 null]
 >> endobj
-1475 0 obj <<
-/D [1467 0 R /XYZ 72 157.388 null]
+1470 0 obj <<
+/D [1462 0 R /XYZ 72 157.398 null]
 >> endobj
-1476 0 obj <<
-/D [1467 0 R /XYZ 72 118.838 null]
+1471 0 obj <<
+/D [1462 0 R /XYZ 72 118.845 null]
 >> endobj
-1466 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F32 668 0 R /F51 1171 0 R /F35 1440 0 R /F48 554 0 R /F54 1447 0 R /F52 1472 0 R /F78 924 0 R /F67 564 0 R >>
+1461 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F75 1442 0 R /F73 1467 0 R /F149 920 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1479 0 obj <<
-/Length 3453      
-/Filter /FlateDecode
->>
-stream
-xڽK����_1�K5�Z�d�=$A
-$ȡ@�@�nZ[3V"�Kޝ���{P��=�mЋ͗ȏ��������H{#D��yw�䍫|Yi�m�Y��o���+�M1ln���-���J����<��qQ��c�&\�lx������ض=w�f=���[虪x���8�x���s�]��>����������j���>��}
��f������_���nVB�Z[�ٮ��A�;�
��x�O��)�⺦+i#�Jc�b�����۴㵪A�t���������-�q��9Œ
¨�
��)*)�9�B鵋K�����N�
>���Cl}��j�8���7T�@�
*P�y�g�1.���
���f�1�V‹���Q?7�p+�>!��z���!E�#
���T���#�I���o��pqg��x�.��9:hG�
�lZ�‰��L0ċ��LR��
G�ەѲ��i�q,K}3
,M���
��-C���PZ�Ry
��Mf	
�}b�s�H��9�,`� [7��9�y���Z
5�^��
-�w��#��iP���zB�k
���C\W������UG��\�X����HZ'�2H.��O�F3Ӷ�G輏-��
�H�r�|�j��~BX��o�s��t�cMa��x�`M�Ckd'�&Qa��fb�jF,`"	��]�!>��]�g�.�����E��*S�N�<��
.���G
��?N#r6�����[�zˣo:� ��
̉[�
)�J���=M��`�3Xt�
�/K��|� !
z��D9�g�K���D�
O���2��v�wu%P�tU%��ۺ㑻�>�["=�������#^���<4�؏]���`[�ْ&�M<�t���X�ţF1#K�b�R�	�ӫ��4�)��	_��/�xܩ�b����J��M����M���m3X�*��H�g��+��3e��!t�#��̦V�N��D!x�1hJ��; 
X��chK��&A%&�-�!>�2�RZ�@�
�P���.N���|�js��-�y5'_A�Lv&
-ff__j3����,�
�?9rA��O�q��4�rFݗ�أ��G`�&%
-�Bi�vp֛x�Ŀ��U󰍦��R�p����쩡��
�i����]�$�F��@��a 	�c���
�[�:����
N��=����3�+����J��� K�����$O����N
�ے� ��Y��$C:�ZIK}�lS��B��=]�D��]N-I(�|�~����U��)��Ð�
M�,��'}�,���6�1"�
�����Dg\ik�׽+�春��w\3
�t����
-����5x��?�nⓘo�:
-l���2.h�,� �HN-̐�"�'�$�-G�) ��;���죍�����hN1"
-���

�6s
i&��6{f;�
1x;��
��i��'Iߛ*�#ؑ��/Ȏ
N�#G^
��֡���‡
ލ1J�ހ�2�O����8�Х���tA���A�/�iMD
��bA��R&�1����i��vj�
y��
BQK�D�A)�jS��}
�
�h�t��ar�лθOҖ��������
�"�'�<�S�j�,�_$O�G`ڇ��q��rzݿ�����_�͛
���%.}j�nCyE�i��e4�+m��]UD��[b&��dN�@��:��
-�9�n�5tY����^#w�%����
	����l<P�ȷH6l���񁂒}����
Yd,��޳����A�E��
-T���+�Ox��G9ǣ��;�
-���
�T)͐A$��p
�V�ɭ*�Gq�Ұ�бy86$d3�i
f�Иs��.�

�G����tr��֕���Q-3`�҂�>�y�/B7d��13�����+[�����	B=$�F�ο�l�\�&���4K�4~a�d�1�&�;9/nV�4j仕W����h��rK��3G��s
Q���������/�W��o �4
��G�4VVcW�`�08���50�
p�^���pE��Rr�#Sd�
*��o��霡:
G�#f�
Z��}�j�A��X(��c)��ߎ�I�/�3��Ø���[nq�*%�9`u)* `]���d
%X&�
��}s�t�\D��F��
��?��
-Pj at s�y�eA
����V��(=J�r�ʽ(
�����F#PT�Y��l]:�2�, G���*�{�����-/�-~?�s<�?�[}	����Z 
f�1��M
-�gzor���\���>��� �J ÜgP�67�_�~y.UL����.B
��Kz
�+��b��h�9��������y7F�G�?�r�
������9w/�R!��R���7�9c�+��l ����i�7p=���u���w�YNY�x���
v�׬����:�,Z�����	��&7f�e>k���i��/<�<��)�\ʠ4:�h�C�F�1��7���,��ͳ
�� �#6E*Ƭ�
cQ�Ctџ:.Ab�k�M�I��vlڹ���}�ȯ�Z��V���&�c�[=�U��;
��W�
ӥ�V����Ni%�_t�R&�R��zQ|��C�
�1ѬL(���T&�k�.8w����v��}�B
��p
-oշ\
�CT���ȩ�1g���1.l���q���\=�8�ƍ�ks�� r�����2��v�v'z@�;5���
wi����J���e���<�Q�z��,����
��+��f���a9�	:��z����$X)��_N}.[a��'��lF'�)qd�?@N���
X�x��:f������;��T0�ZVi���8z*�P{���7��+.��8��/?��9e����z���T�KI��o�2!�|2��S:�<���������gvJ���T�
���WD�8
J��1uTw(���+�yYi��޵][�P�
W���Z=+�-�[afF^W���鶹�Нhv��
y^���@"N��pM�8@�C�-[�w,f*�H���#��#��+j<)�
ߛ��=��KZ�+�|�
oe*����)�v����|�5gnI|H2�r�$f�CRY�O���Htd��{Z���ׇ���T�YŒ�
 OK�9
G�=&Ѷι���o.8I]�3��]��ľ�������!��9�iM�	
�cx
�dR&��������_��#�
���,����rH]>�\+����`n����
-t����^s/SYz8��q��4<����4W�}*3��]�xYwX8���|1���v3|����H�A
e K*�-o0��K�QoS���~�g����	e��p�� Ko�܃�Ꙫb��RB�����{E�c��;�D,���/��ܙ*��4�����U
]���r���'O(O8�)U�I�w�R���;X
Lx0_���i�t�
-T�1���dĥ��)�x'��8��
��q/s������"��c����pFHM
-�$-t���~x�� ���6endstream
+1474 0 obj <<
+/Length 3375      
+/Filter /FlateDecode
+>>
+stream
+xڽ�n#��_!�
+Y�����۰�5|�́+Qm�"R���ߞ���t��
���A"9S]]]U]�o��|��
'B�`���剓'�{�5�������ݩX�����Zi�:��k���ϰ�׷�� 7�y�?]K
��}\p�0��G���	f{WŽ�}v��������'����Vϧ�ӳ���|3 zHK�O�[��������!��� ��t~n_ݥ�+D��wH���_g?���LkK
��y��<�4��{ڀ�W'(�n����h�1���=��;"�"����
�a ��_�7$��"���u��k$����TF�L�pn���"5z��*�d����m��~�u�~8�.TT���9�����7I����$���$$$��l/"���
ƕo8�SF���՚վ�aU�3b�G��W I�#�I�����}�:~ �:]<D7$���6c
�)M���mf3��j �g�����ĵ�^���;�念w{v�6pվ}n�H42{:E^��Mp��qƲ�uҦt�M�E��|a/:�$��(�+t [...]
�p��=y�l���sEn�ld4��)��6�+,�R5������<i�F
NU�`���**����Pq	��Xw�>�<�l"9F��_��:~�)�/n��^-�]�x
��?>O�<<�͓C��zR�G ��wɥ|�A�+�pF�&
�iذ"SN�T/!J��(����u!�D�Lrl�h�;�S�9�-C�����aF���i��Xh.[�n��_>��B
x9� �dʞ���1ߝ���>~�8�z�m�Y;
|=8
�568dJ
gr�
��tv���
mg�i��	�L ��ƻ�%!@��:��3�'�)jb��;�ek������b�gg4���v�t��G��A����Kv�C�M|V`e�S�
�I/i-�¦y>;�T�٬�ln�`��
6y�f���3�2 j��=��G�X�F�]�b��ж��sl�� _)��j�A(�5j�v�k��ǒ\E|�i;�{�U��>�P\�E4�k�x�(������y��(щI`�e"��d�������|��y� [...]
?��N�e	��
+�<md册l|�QC�p�_�#���"زa���U4b��K��0�w�N]�W��0"'S*��󙅟"��Xp���Z�sA�Xs�d�\�f��$^��L�F��2
�0@�0+�|����rl�l����W�)���>��X��)&B�;)�W�]7EŪ2�
ߥ��*
��.+�66��
Ʃ����K	Ⱦ�����js�nHY�����DG��L��
���='�H/rY�PB�Hrǯ9�w���r�P�K��sٳ�`��Q^Rc=�ƊcO:�ZAP�.~�!z{+QY���4��e
����ik��˽j����0
+��
6=�eG�.TgV�\�����<kH�
+LW�i���H 4��Z�x(p~XÔߘ�\M��� ���e`�1�o<�G�M�5�V(��vy�ߎ�N�Ҵ��n�g��)]�$��-҇�$L�9��/�����M
�繌�h�s�AV���	Qٔ�\�2��9ւc��&�9n�C.G���GD�%R��,٬�
+�}L΃
+̨��kD��ͷ����gU�|k�@�`
���<U�
+M�^H.���_�����;�7#
apϭƟBۥ�ni_M����hf�\���He��YqC7 ��n(8?#�P|�]��K�o����>=�,4�v
�AL��g�~�U�
֩o�-Aă1��L"� R�\d�����&��I�k
�N��-�& �d��y@
"�WݍJ�k�_ �
�NÅ��D���A����}�܋�r/#J�}�\ͩ
+Q&ʂ�2����h�(
�iUby��V�d����w�-_O����V�!�5d<Ԇ�fsw�3ps}� ���	����{�N� 
4N	F���4|�c6A���퍟����Ku��,q�3Ws�WU�\�
+�Kf�

�Na��*
OoS�K�܃^N�:W>�j�
��<c�K�����
Ы=E��#������X�����5xk��)�t��c�SN�
+�U��H{б����o��<�)�Ɔ�Z.���J�
R�Kհ�.�B� 
+f:��8��޴���R��#g�ʮ�q�Fӡl�f�_����B�(]ҵ�M]
+���L���34���t�c|^�
�,�9���#�9 ��(�1������J�F�6 �o�ǜ�)�
��l�;�j�=sU
�An��M�噫����,����T�/�d��ƕq7��]����Tv�&�*Ӿ���ܗ2d
�(n���Е}Ɵ�*<��J		�'Q:76�
+XST�S�b�O�툴k
8��2t� ��fi�L�ʫ��*��:�t��
zp���d���?\��:>��ձ,��W]mO><�a!VjR��.
+B����bk��8�|��<
W�����
�/�62x�
��
+_��m���;bJ��eiMn:�vt�_f,�h�

jG*��hbX`]Ixs����0�*}����+�_}��d��
ֲ
U`j� i��Ns5�@�:_�F;�XL�j�xH�
V)l6_d'���o�JI���'s�Mc�Q���A��<�Kve�,��i�v����Qf�\�cp%�.�O�g��T�Zh��q��DM�=
z�
<�Z?��P�29�ߵX��
kd1���r�L�WUic&�SFt�����X�8V^	��JPG���
��l��!�F�V��0ce&��O���V�:�S-�6�&\X��v��e\�?�U�H��$h��y�#%h��R
D��4�A]?#f;	R
+��c?��w�J���$v�H��fH�j�QǷ��������>�K^���S���g�h��� ��v��m=�3j����o���c6G�4�ZJ˄
�ߚWKj��
w��v�ޣ���a�R���:>b?7�4ؒ)U���l7&��M:߰|�ů����0�/�"鴠�7����+okM����㳇�{�Xzl���蝥��%]	�Y�ѭ��5E:���*+�#��:�.����=�L��X�
3u6b-��藮䗊i��
+5[����U��-�/�P�D'(�� �0<�'�'1�|��?��W�endstream
 endobj
-1478 0 obj <<
+1473 0 obj <<
 /Type /Page
-/Contents 1479 0 R
-/Resources 1477 0 R
+/Contents 1474 0 R
+/Resources 1472 0 R
 /MediaBox [0 0 612 792]
-/Parent 1465 0 R
+/Parent 1460 0 R
 >> endobj
-1480 0 obj <<
-/D [1478 0 R /XYZ 72 720 null]
+1475 0 obj <<
+/D [1473 0 R /XYZ 72 720 null]
 >> endobj
 226 0 obj <<
-/D [1478 0 R /XYZ 72 498.041 null]
+/D [1473 0 R /XYZ 72 498.063 null]
 >> endobj
 230 0 obj <<
-/D [1478 0 R /XYZ 72 203.548 null]
+/D [1473 0 R /XYZ 72 203.607 null]
 >> endobj
-1477 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F70 642 0 R /F67 564 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R /F49 1483 0 R >>
+1472 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F126 638 0 R /F114 560 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F38 1435 0 R /F70 1478 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1486 0 obj <<
-/Length 2965      
-/Filter /FlateDecode
->>
-stream
-x��Zݏ�߿�8 �\�X�Lzh{A�>�"ry��ڳp����m���p(Y���n�}������������f�9�ZO��O���±B�_�_�Zg�.�<�[V�\
-��;|��Y�l�z��P�
��l����Oէ=�i�u�[�Q������nWm�
-�U�Hq7�L��Z�{߹�gS;ܗMs%U�C�.�v��ߴ�
-X��L�3$�����-��DQLr��R&H��+F�b�+X������ڌ'qDŽ�q������W�0���k�
��g"�9��-R�Y#�-f�|�+���fU⑷�g��
0�@�(�UP��+�"���S@��^�9������8p��$�LKZȧ���q*
ə�"����:�r��

��%����zp��x��
��:�(X!�+l�
�ﴅ� j
+A���
�(Q�$�8���
���P	k�̂'
-ͬ���&�%<:#صs56�}���l�k)|��|�� \���B��g��vU�R1'��z��Z؄SP�J�k�� ?4���j�kiv^��7��=�<-��Bi���M.�<
�ǔ��9�倧&1�oK�鑘y�h
�&�t�(�"��e�Kp�=�۫��#�����E!R������K��P/mb���l�6�_k��D�!�B�
���eH:�`v��͜Ls�8uR���`\�^\�t���7Qb��^
�WL�)�zK�1��gY��P�m��D��bȅa
-���֩����򄽁& {Y>���9����ô�.��-�
f�A��!``�LA�;�1y��	�%�)�r�����zi.0���2���0p
�((=L��8�GU�0�|�+�mJ9��9l���-�Ķ|	����S�ad[�
��<�}�8�i��C'.�Y�3�7
-��	�Ǝ���7�G���8�d
��iHu��
 ���1���U�4fCB���X�g��'�r�4�
[뻂�$h8&�2
��W6s: ��x��&Rh�^�
?�����_�/��rШ_
M�
-��
��5S����"�7���U�ʔ ��z�5ט�h�� a}���e;�:U+qx�^.Û�8b?d�q7(`��@�F)Ss��)�g�����{D5�HM.�"���/`�_|y��
�m{zr R�͖uS�]�k�M_&��/>�X{v&�?�R0GwT�;�0��T���Y
�y�f��T�����(@o��%��`
��6��(7���c���$�GBG�Z��=
l����[0n3���6SIX�U��%��8�"[��3z����Ś��]h*�
X� B�]��W<Ĭ}��%�X4��>���V?l����R�e�<� .��*��f��#\�&B
-ۭ�	�j�¬H��f��f�w��S,��܌�y�� ��G*�Do7+��y�MC����,Q�u~��������"G|M�W��'�3$��k
-pL�q[��
�@A���V�+�O���Y��ٲI��X�$��..�<p��0|z�^=�[�-�C�
-��:
�6���d�Ez#��0��)8f�_a �����g��{Z�o�O���OPI
-��
*B�0����?��&D���A�C�A9���ҏ�\3��� �~M�S�\F�ﻭ#��
D8�����
����>Nvc(�,��%w����bȶ������h��
�������5�Q6�*Ȧ�
�k��G�'����c��D8$��sR
�e\��K]$�p���%.3N
:C0�� �{ñ�K0�s�.�[��K�L֌�jt�T��;����7nO
-(8N��gH�|y
2�T���i,?�)�.g�
|}�@5�D�!�E���m��jlE%͛n�X�7M��q�/��
�‘�����R?#��791�")�
�e0�K!W�@����
�4@��s!�S�З1
)���|��󝿰�gƍS�YT�=���,���aȸ��ĕ$��,m���`�=q˅�:��/�Q̃�� ��{�8�yߜF�Ou1�ɣ����@�ƴ�}�<�����#�.AppF2?��X�\Um(���
-��l�
W�0jt`-�#�E�:.^m��V�����14b�6tZ5�\P�(,g�N����u�Փ��P�‚j�	
=R���
;�Y�\�;�xx��^տ��7UP���G�9��x9ǻk/π���{	z-U�
-�t�A�B}�"
��
��:%m{��������w<�q��v��@�\�ҽٮnfU2L~n$�3����9y&��b��XM��D�h!(��pg�3���R��J<� �}��ܺsl��
-e�%��
J��/��V‹A���b��_QM"��I�� 4q�����A$,�'=6�e����
u���a]5�‚p7��w����7
��>�7�]=	�8��U
/ǫ�!�n�񷒂� @��|t]
z�e��n*�T�ʚ&W��㪒
��
��
��
-f��O�
-+�r	��[��0�}�e��5�}G�4�6��#�*�4�b 2:��q�H��/��H�
=lE�
q����7q���
�Q�7<G�U-�`a
.����yYw�)�$~(F_)�|��
�m�V�+ϸ������O?��M1y{�w��+y?Y�@-#�^����=��b�w�������=���9���P
:5*T�?M�TQa�C$����b*<f/�|���_��*�����u�N��s���\�,|t��RZV�i��j��j��!��	f�XhE��6@�u��
f
�.�T8�C��6��9���Ɵ�_�o脷f�
j��f�=
�@1�C@�;�ƻ�&\��yH��D*��h"�/2]�-;


�DAE at O�k?��}�7x��5�M�>:[d���N��i8�
##c�^�*t��yS�twXq{�}���=D�
���|�1H�]�n&Ѕ����t
��ٵbB(zZ�S����o�r:endstream
+1481 0 obj <<
+/Length 3007      
+/Filter /FlateDecode
+>>
+stream
+xڵZYo
7~ׯ�g�ax��k#bd�E�y��Z�`K�hF��_�U���aϑ�<���,V����W�_��n�qJ�.�g��
��J�����m�T����~����_��~�|!���7xi�{�\�on��}�\�?ݭ�G�:tT�����|߭�{ֽ�+z�c��D��os���J��V6�^����ǡ��Ў�'d���t?�FYnB�pɆ����aZ�
%X���f���ۯ�^��L)�W�mhQ[�&�
�9_pc:��Y��/�6���O�&��&<�:��B�g�#)�Q�"Ɖ=RqcgC���l�O>�
+
� ��+�
6�7_G�mѡ��;�*b��}���7�f �e��#J��l��B��v�"�� �ew��h�s�.7��Z;h*^
�]�ߣ4'm����5YN	��\�
1
�o��
�%Q���
+�Y��L��iIhAB��,�l��VG
,J��1"�jS_��Գ�tD���_}��!m�I���CCֽ����E)x�����--I��'+z��Xz�_�� �2�u=�,f�}G��_o�aNW�'
��f
�JvϨ���{l�m�?
��]?�Vh%�5�(��p�K
�V�C
�ng
ap��{�L6
��#ְ(�}l�*?�ي�(�-S����C��Ժ����0�pV�˾�t
�m�c���IP��5"k=�^J�7>>$5]U� �����	
8q�9���d��0��䰭C6��ـ*���{��D���dЙ���S ��(�ja���$vd-L�1��� n�
Qx� �� �J4(��
Jz-@�� �OF
��� �9��
�O���B1P���P�����$���BVXY�#�Ѻ�O��i�j~���6
���}���t������]x
�LZA����U
!`�Z]��b
����
m{��
.��P�B` �x���ʅ�
r��0���Z`"�I'� ��`��������1Έp{��b'�����F7��DX{B����m���H�p�äXsL
���#MmX�4�|�Kq8DѤŝ�+I�� �=�U
����~�h�ڮ}��{��T���8�����(�� �a4_^��+�<:zN�
�.z9�KCD�3�PLt��E�\��1,�l�cP
��2j�V+�L�iI"W)����+��l�eA��خ�d�xW���EFE��*�E�� �M��zJ��吤<�*���i2�}	BGZ��s"r�\�Ly��Q��{�UB5�ƒ5'���u2��y��	�� �	~.����lS��z�EP������_`-�%�'gT�/����.����Q�5E�������
+�mc.�8a*���7���o�B�;Ϝ1xe
�����T?�Ŀh&�p} b�d�	'�qo�-w�w��
 ?
+(�kg��9{w��J��s��s�"Y+�t?�-�ǢY�g�U��X���H�.,��Ux��c�.86aO*�l��u,w�8+��r�{��E��D%$�������AcU.��b�8��f:[�
P��� ��2���ք���#�k_�v�4����ZU +��fN��;PSHXsPݝ�����u�W \
+J4�8���$l�4{G�l\�2^e(p{�2F�:F&៱LA���v�Q�ٱ���}
5W��%���
mW>���Ӕ���qd�"k˱ �"!���-s1��H1�S$�A_�O1ELR�=V�cu� yCQ9LM�UC�N�Hɜ�y�Ioׄ���
��Mot��s����|����m�V��0��#k��q��r��H˩l�2q�[� :��fmR��Ϻ*T�Y��9�InH�/�D�o�" ���|]���l�PJ2Ŏ�G���J�R�G�u�yZ7�<Ҵ�I�����?c� *�J�l���(��$˜���I
#T�R�Uz.
�_=G<�*������|�e�9��3���TP*
�؝,��B-`�'����0�%�=#Ǭ9��j�] ��[b��/^��r�	�N���4����؉	�X>�f�j?�|�U����M����S���CS[����H��	�ˑ�dU�j#
R;�H���
Fp�z�^�b��G	��ٜ�Y>�rVeɋ4go�����ݓ�J:8�L�ػ
i%
��S9;��'�
_������6iz����]AnU�K�qJy�6���m!L��b
+I���Lb�����ɜpC��.�k�ܱOk���^��>Q~~7uІ
��mQ���߽�$�
I[�r�BF{��X>J9^&
�5
�@b��¥����o�7�M���{����@��sy,e
�����(	��gIp�/�.v�V}3v���ʌ�а�Q�S��z�:F
��ҍZ������=�ᄝNG�fI�
��`�Sb"�H3�D�n&����?��fk��l۳�l��,�^�UF��;od
�\�卷������կ�H�^�<����/aiw�9L��K��h�4�[������G
E�v8�2&1��E��T����8����lpޔi
�I�����$�js���
M,
�q�9
y�
���p_m7l����l���>�GҐ"L�)NX�'���$���
���&
|J��KBkH���Ot \���dЫ�C/-�ҷ�L�	�q�;�멣��˼��
).
��s��o�tWnxl�K�3��^^ W at g
O�2� �5���ů?�LgWt���H���p
@���RT�2����.���Y�M�{z��
dS�>(�$�f�{X�� ,`��]�������O'�h����mi��=��¸*�������e��|�V�>�$���
L
���\����u�̋�8�o�����6MI6˻J&�ߎR���f���o����;/�R��~�s��A�qB����
���  7�u$Dxއ�Y��
B���Ai���Be�����\��! *(a3?�
?��,HvƆ>�!v�0��
+RU_�I���%���ŋ�A4��
?o�a�:�8b��E�T���<~@yhN�U�)A
T�ȅ�g`;��"N�*�
+rendstream
 endobj
-1485 0 obj <<
+1480 0 obj <<
 /Type /Page
-/Contents 1486 0 R
-/Resources 1484 0 R
+/Contents 1481 0 R
+/Resources 1479 0 R
 /MediaBox [0 0 612 792]
-/Parent 1465 0 R
-/Annots [ 1488 0 R ]
+/Parent 1460 0 R
+/Annots [ 1483 0 R ]
 >> endobj
-1488 0 obj <<
+1483 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [363.202 393.516 369.927 407.972]
+/Rect [363.194 393.619 369.917 408.008]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.8) >>
 >> endobj
-1487 0 obj <<
-/D [1485 0 R /XYZ 72 720 null]
+1482 0 obj <<
+/D [1480 0 R /XYZ 72 720 null]
 >> endobj
 234 0 obj <<
-/D [1485 0 R /XYZ 72 463.504 null]
+/D [1480 0 R /XYZ 72 463.597 null]
 >> endobj
 238 0 obj <<
-/D [1485 0 R /XYZ 72 225.687 null]
->> endobj
-1489 0 obj <<
-/D [1485 0 R /XYZ 89.933 150.187 null]
+/D [1480 0 R /XYZ 72 225.818 null]
 >> endobj
 1484 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F35 1440 0 R /F48 554 0 R /F32 668 0 R /F49 1483 0 R /F76 747 0 R /F70 642 0 R /F67 564 0 R /F7 753 0 R /F8 551 0 R /F92 1492 0 R /F11 1495 0 R >>
+/D [1480 0 R /XYZ 89.933 150.333 null]
+>> endobj
+1479 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F70 1478 0 R /F142 743 0 R /F126 638 0 R /F149 920 0 R /F114 560 0 R /F7 749 0 R /F8 547 0 R /F162 1487 0 R /F11 1490 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1498 0 obj <<
-/Length 1175      
+1493 0 obj <<
+/Length 980       
 /Filter /FlateDecode
 >>
 stream
-x��X]o�6}ϯ0<p�He}�C��6{X] A�ז
a��JrZ`��Iі\d
ֽ�"M��{��եn�gW��7��`�b{�
do�0��]���R6Um����U�-?�&k.�P�7��rl_�`&�,�?�Гi	[l���a�K��^6���^�
ػq��1��k����
{�N�G.��4"h�������ݱ

�Aa �L���0�Z6�
��`z��������ovv*׉ُ�~��r��,g�o[ ��@�inZ�Q4D���|�
[w'mm��
-����`,7�����lrff�V�
-ˡ:��bh40Dt}
q9�<�Mx�������},�Av�S�0� �&������$%��sa�	�V� ٰ����V	(n�E���
UTAX5��F>���|Sq`3�(�&(��������?
�ـink2X�Irұ�U�Wzl9��-�@&ϵ,�?zpģf�x�X<�w2�f
m�J��u�Lu�BvV`++
�q����;s"f������u���N\
-�:�(���lK
-�SG�9��NtUy
Dc�O�/�
$o0cmM�haǙ��#��>�����<�D�� ��ݿ�8+�����sz�,�*���
�",��?��_���l[=�HFO
'�s9������"�4[�
�rȉZ�
�בt�MnP��1+
$?����ᢂt<�_��!Ko�ӑ�Q�ˆ�T� S.j����K�\%
-v�����A<KM�r�=ـ
ײ�6LuDս��[<�6-y;#�6c�F�"��(U
�aLf�E�>?+�߻T�Y�݃hw��~�̗�d�hl1�(r�APX�,�$�"��[aIVY�Z�N�#�x�%�$����֑}��B65���FR^z��
-��sca�9��ED>�|A1�k2��
b<���� n,�G/+���9H����R�0�������|���������
-_�`�Rw_w�w:��׮�%Qe�!����ZQp�
�V�g�����7�������E���x�N����=����?�����V�
���9�jUփ*
-�0���hu^fy�
����U~sQ�^պ��4����: HA1M�]wa�b�4����� ���C�7'�xg�Ux�*�!~R��
x%��t���Ȣ�1v���n���Yȗ�"�'�qD��&�����k�; endstream
+x��Y�O�0篨���hL�|O�Ӧi��@��&P�)]l���>'>��8I�.�é�?�w���}=
�
_P��(%����I/`������M��!�O8�p�㴀���)�D8�a쑓\�thy���MK4�|�4�4X��}�=��$Е3La�6
Nc$��P���?�N�����g `B`Q����v��GaQϢ.q]�@(!���s$H��jR�=)Lg]�}d��lG

���ⶦ��)�Rv��0��Laj�Y�Be��v�Z�1����P�35)��W��x�H1�G&��=PF�C
@���EA���|�o5<@A��P辕��k"6:�uk
�W˼��wV���
x����W��x"3�|Ul���R%9������R�*�;y�ݭȴY��rB�0���S�r�L!@~nz�����R��6i<�N�ܵ>�p��k��Q�s}���nj�'t�G�M�
������6�CV�++��o��t >MD�Y*�T籶+t
)-���
�
e
�*����9�E�W�_�6Ʋ]q���h"�&���b� ����Lz:���p�x��k}z��b�L�7�hP@��� �0�Yc�Iq��0^�6���	��-f�[͐�ǰ�=*F�Ԉ<.P"I�
����0e��$V.ffQ[�k�?�f�U\>�$�Z���\
h|�D�1�3���t�!�u�L77��E��0�ѢR^E6�UcZ%�tgX{�
�čtY���p���C�6]�C�y�C�Ơ
���+a_a�W1�\�zl.�
�6���+[j�^�Zs�+_����|ȥ�S��ZIOj��,q��M���N��T�P�0t5�
PE$C�?��C�����yg�V�h��"���OP�e������R�ʒ�I�4���ĆכQ�-��֤��]W����BW��lfܕ���P	8Se 	�D�O
�����Q7���U�00�q<]���p&~>w�|���2K�endstream
 endobj
-1497 0 obj <<
+1492 0 obj <<
 /Type /Page
-/Contents 1498 0 R
-/Resources 1496 0 R
+/Contents 1493 0 R
+/Resources 1491 0 R
 /MediaBox [0 0 612 792]
-/Parent 1465 0 R
+/Parent 1460 0 R
 >> endobj
-1499 0 obj <<
-/D [1497 0 R /XYZ 72 720 null]
+1494 0 obj <<
+/D [1492 0 R /XYZ 72 720 null]
 >> endobj
-1496 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+1491 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1502 0 obj <<
-/Length 1162      
+1497 0 obj <<
+/Length 1156      
 /Filter /FlateDecode
 >>
 stream
-x��WKo�F��W
-S��p��=�n
��0t��@S��-
-v�_�y-Eٲ�c��jgvv
��
G��w�:^(�eQ�Xoi�EQ�H���C�ln��ە��ٯt�+�L�U�lp8�}>؝����(\
V<�kS��n��
+W9�iP� |Q,\��]�:v6�(��\��5r2�czT$<��|�Sp��[>�Ɔ7�@�՗�o
W%��B/
c
-�nI��Tp)N��}��Q[�9#7�5%���#̒
K�|@BN�
��FH�����n
rͫj;�������P⏨���=��Y��}�|EͰ� ����C��5�LWe�H#��2��G2rC��mU����e��~w���DC�ㅫ�?%o>k�`�����xN�جE0�hD3Hb9� ():J�,���D�{A
��j�z��
-t|�^�3
�(qu�i��r#Ȳ�]��<�Sy5��l
:+`��Y�r������L��Z~=H��XI;�g"�ă!/`�
�m�|�ķ�H�@��^�#�jyЎ[b�%U��s��y�9�="�O����s7��B���8�䑾KC�
#�CT:��x>b�a |p��3H׽@�����
�P��nB {/�4Dł�
��^+�����P at Oq{�z�❩s�̞��^nS�����
�E�
�
�(5��k٠Pż|"���N���J�qufo��+۫lRs��?���*�'T�P����i=�Se!���̍�UL!�wn<a�
a|�9�Mu�����r���
�N��ẟ��N�;�����7{C��/5��
-����[
-�!�����
�����x�I|
М���q9��Ke�_n�\�����Ih������{cǔTh]�MU'�j��k9s����
l�Q�@߬R�o���||�v
�^i��h0�h�=N�{��Q��L9� �$�*��lw�d�3f�
�e��&���1
x���3���ѯ�O�*�Iqf
2��F&[$�
��� l6�� ��X
#Z�)-KyR�6�%t�h�و2��ޑ����8��4S�� �:�

��~יMY
���������8���=� �0�E�@�T�
@i�m'�wy�Ӥ���V�ɥ� �͟"�N>������$'�v��2E�K_֩ͅ��JI+O��t$	��}X��]�>pendstream
+x��XKo�F��WSE�싯�=$n
��t� Sd�6�R�������r���(�&@k�c^���
�X�<�P�LʤL�٢�e���,E"
̬�F��yld
=�U��2��8�.�40�����-t�C[B��j���n��Fd���]�T�����i�=@�kp�A����[�킎$m��\���(�4B�C<;ӕ��;^���
v >
����-~K� �����Y,s
`,MbLf�	����` �CH���%�>��0Dc���F�a�$n��N{hP����
.�1�	���'��o�D՚��a��>ϡ����p��Ꮘ��fǝ1��+S?�*����mi������Nf�r�uGs踡n$�f��5�`sk
���|v!Mx��d�XAܢ�q_*)XR�PR&�Ha���ٸ4!��O+P�lC̬��=.3��9�}��1
�.�7a:p�-LHh]�,���X��.��7�8�:�	M]wy	A�*aw
�'����O"|9��*�X��������P��S�; [...]
uGE��Y���g[;�
+
ǽ
�x�q�F���
��;�_�
-�X��FR-�]��)8�8�/�/p�� |5z���E�w�L3��Ѽz ;�H
+�qb���D,J'Y/��8�8W�T�DqU��@ĂJ�����M��{`�ܮQ�����"T��4�'x���W�'��"W�A�vO6�� ?�	J��p���'�����*O���K��ګ�oJM��gt�T�A�|7OӾ�
��m�?��5qI�6E�~�
�u���rfP�����~�|�
�oW��:y����L�"��jR2�BZ9��|�rq�7YO
�endstream
 endobj
-1501 0 obj <<
+1496 0 obj <<
 /Type /Page
-/Contents 1502 0 R
-/Resources 1500 0 R
+/Contents 1497 0 R
+/Resources 1495 0 R
 /MediaBox [0 0 612 792]
-/Parent 1465 0 R
+/Parent 1460 0 R
 >> endobj
-1503 0 obj <<
-/D [1501 0 R /XYZ 72 720 null]
+1498 0 obj <<
+/D [1496 0 R /XYZ 72 720 null]
 >> endobj
-1500 0 obj <<
-/Font << /F26 548 0 R /F78 924 0 R /F67 564 0 R /F70 642 0 R >>
+1495 0 obj <<
+/Font << /F29 544 0 R /F149 920 0 R /F114 560 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1506 0 obj <<
-/Length 2183      
+1501 0 obj <<
+/Length 2181      
 /Filter /FlateDecode
 >>
 stream
-xڵXK���ﯘ��T�
-&���:�=��Kv.^�	�PK�\�G~}�P��9U�E�h4�����_�?��9��-�"������]�Bi}w���m_md483n�*Ϣr���?�⻭.E!���4&u�8%����
5f��Q
�W]�'��92jhHG�����EI���O���NJQ�)�[�Z$eN[~e��L�,����
:d�o_�� b�9�x�Ql�:N�_7E�G�R�H��iX܁�;�%x��'N����'E�I���
P�C_
F"U~�G����x��MR��=�i��GІm*�)}�6�$�%#
c�Fq�a"wm�2y\�m�Zg���TQ��#K4[�Ͷ�

U�;|ۤ�D�mВI���8��E �'�]��U�_�^8�0T�>���ٺ=�Nn�h'�
��̶��h�p
3�׬������+�Z�j
-�@`�	{�ܲ��,Z���7
�4��6fFSy���h��⾝ �d.Ҵ����
�V*�«�s�A����x0~���t���B��|��(����h�3�J&7ixw�jг�/��|�
Lg]/8N�!'�1��Rw�aܭ��
���UŘ�joih4t�;Ǎ��4�
�8N1����JFq�3w
��K���-tŽ��p�#'s‡���q#}&�N�,湽ᆇ���A�N5�/I�l�,��3
�
Z�:8��]
�܆����o�h����Qx-7j*���{�

����?���]�~�	D�jΜ�G����m���=�C)�x���d�A{x���(�G�.}��͉� ��r��Rv�3����lU
����|�ͬ+T<셿�V�Z"9p
��|���,��3��97���]'l'�\M����*Qf"��LL���� �d72�euIS��b./��s!��3n:D�;"�q�����iv�+�c���J�d&P���Oy�A^��P��R�q�ݪR�
*�*�n
-�p���>6:
-�g�P��,���;1�zn"SyD0:�ߥ�\�X�
:&��ʐ|'�F�S��ꨢ� �v���*�q4o��RH����蟐T/ͬ�PE���u�)����2?��`]�:�̍U	".�<�!���xW��R/���+:
fc��p
���I������M L���>�F3G!G+��m{����ǑH����Kq�ZA��D�6���O�P/˜�|
���HvD溩\3\��N��=�
����<����Λ��W�_\��Z���ɋ�w�&y*��*�n'�|�^��i y�DZ�m ���e�R$Y��q�vƟ�Ĵ�)��bc��|rd�צ���:Í ��JeuS塚Y�8���IEQ�L��J��
B�U
������5M��3*�G�ZX�������
��1�����xm��zF��NOW�n�>#R�s:�Q��
� `�.�
f?c���
ϫ�t�3og��5p��[d����s��M��
��V]m�ל�7��G���ƕ�@����%��d���!��W���
�������eV��v��t at UM�	�Z�G	�?
 ���B��G�E��/(����
�vȇ�L�$f�
�`�
J"(Ԙ�
-��
-�X�I�$ü8Bg�V�1�=�
��j{�
��p����w�4xҊ�b��

-���~���
o� fg�A�u6�x ���`��x�>���B�b>�J�\� �o���NOp��8�q��E
X*$�z�G�Fd^���0�`Z�Ir:l{d�~�x?O���+��46Pގ��V���Z�`�!<)�:��.�nO��'���y���O^�N�,�DtS�a_�
$C�#t�¡tqdI����u5
-TDz�!ѸfS�@���Z��|����?�`�y�^ɝC[q
���s�i�]h
K�
1"��(�J,�
����	.-��hh{���
�J�� �~�
`��Q3?K`�حH�w�YP��ˠ�R�:�fX�2�ħ>�|��
-�}�
-�3#c�b<O�q���c�$��K�3�T ����xN5��3J�f'p�A_|1ޜ_Lx�J��ܨ�����l� ��'ު,[�E� O_�@�h��O5��L�	K���v���6�ֿvd)��P���;t�)2�?T��w���Ȥ�u2�G�?��=������,������a⾰��4Da�(�U�����)����DV�e�����R�Ї���/��8�endstream
+x��˒��_��%RU�ok����/�\�qZ	�3e�$����|}��
�)R��Iʇ�@��~�ǻw���͌S������7����:7���k��B�V�����p\,�/����w���kT�m�|���#��}F(7�e��|������m�/q>0�Ҟ
?"E��~F��0�LkՔ%�P:e�Q�.�i�#`5��!�����_i��j���g��s
�O-����.j����z
��g|�Ŀ������x��C����igs�;��&��m, ]��j�+�uuDxOľ.L-O�%��b�c�p@&�@���ځ�g!
YFO�5���i��E=[j������y��1��
�c�-W,�=/<0�za���EY�7�
P)��D
6U<����ܱ	�ֈ�ˈ	`�g�dLj?�I#\M�$MGbR�QĶ0C
 P�h�X,$��
GA
��^&zʐ5�e�,�_/����~�wb#>f4�a�+�@�<sh�Y�U�~����fݳ`.)[E
�We�0�ed�.� �-�S�X19
Y�*m��j
�Ir��g�X|��0 �`� ����ٝ K0+Z�f��CF#��y(ڑ颔����
 �e<�o�v�E6�r�����Y�O��g`�CC(��d��3t��[Q� �6~��= ��
��M^C*���2�����\��d���b�-zeuL���P�����-�n�= 1f)����y�}����q�K,�k�B PK��
>�ܒ�g`qr�4R��@8�`ANx�%bu�{
�t��
T(
���	�{zd��&y
�%Lcd�
K�}X��-[��q¹�dm�|b�rs��:�4�8E�r�+<[z������H��x�a�"���T�=�e�T�-���-EF�{a�6F[e_��� "j��	��A0�g!X�p���?��dK
����;Z�dL%���T�4\��,�'�!�r:i3*c\픥�E���	J^i�*&)�
��2~g����,�
�*�B�*s�&h��L�|�2&B/W��J�UßRf]�F+�Nr+9g,�E����^���vr�^N=u=(z2��$��} ����`�A?�2����։x�b1�z��
�)M��9��qN�5�;��'��Чs�j��П��6���T���kr4uX֕����T�q���2|N9����������m0�ߝsQ7�@Sy��/��]hÍ�f�U�_e,������-_k�<
��Y�
+��N569��Nz�0Bc�]�˦R�Om�����V��^J���t�+�GR�g�!��^����'ۑ��P�E<�i�$�Kaj�.�AN`�sΨ�6�z�ʚ��&տ�
�2E����2��宸��SL��
�F�
}
62Z1�85pz�������T]	W̾Tu�T�>�{!����k(�G���s����.D)�;�7��4�
u2:�R������C�}���X4~��!י���L~�A	����
��V��51g��:��G��S���1� %O��;�D�(����K7Ȳ4��\sZ?
q�rMzI|��<`PX�;��:
Ӝ��aj��qf�c��~�n�3�
�-���>�]�Y"t�R����N��z�������O��>%mN����*��
�I�
+en]����vʺQ��De�/�\V�����&O�1J�P��	+uZO#{˱z�Ժ��qs�K~�x����P����x?]��J�Lk��J�mq ��c׏ľI-i��Զ [���nʉ�1�&[_C"H��:���Sy�ah�B�Y4�u�W0�e	��&`��Js%��yP�b�������a�
+�1*[���\ƙ"J�9 ;�H�th�r�3zX�J^
m�� Q���!E0;��K.1�OG��)1��L��wN�t�~�K��� �)k�}��D�t��B����d��
ʛK�tSӱ[L�#�M�
@�f"
�OE�
~��7ٞ5����m���V
��D�k��߳B�\
B,K��1��#�]
���At��p��;x7?�wB"��FY=���6N��)�����M*�5�8>��IL��+V��2��+/����^��][<��X�+���d�-�zy��n�rQQ3�t��������z8z��5��@�O����g=��xWis$�/�ӅpӜ\t�$�'c��A��W�1<�]l���w�Cߺ�UF���l3i47�z���Tc�k���S�������Hendstream
 endobj
-1505 0 obj <<
+1500 0 obj <<
 /Type /Page
-/Contents 1506 0 R
-/Resources 1504 0 R
+/Contents 1501 0 R
+/Resources 1499 0 R
 /MediaBox [0 0 612 792]
-/Parent 1521 0 R
-/Annots [ 1508 0 R 1509 0 R 1518 0 R 1520 0 R ]
+/Parent 1516 0 R
+/Annots [ 1503 0 R 1504 0 R 1513 0 R 1515 0 R ]
 >> endobj
-1508 0 obj <<
+1503 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [249.03 462.466 256.876 476.413]
+/Rect [249.043 462.466 256.881 476.3]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-1509 0 obj <<
+1504 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [71.004 390.569 87.954 403.52]
+/Rect [71.004 390.571 87.928 403.449]
 /Subtype /Link
 /A << /S /GoTo /D (figure.9.1) >>
 >> endobj
-1518 0 obj <<
+1513 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [442.493 135.936 459.443 149.883]
+/Rect [442.112 135.936 459.036 149.77]
 /Subtype /Link
 /A << /S /GoTo /D (section.9.3) >>
 >> endobj
-1520 0 obj <<
+1515 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [303.888 97.903 326.691 111.851]
+/Rect [293.845 97.903 316.615 111.737]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.1) >>
 >> endobj
-1507 0 obj <<
-/D [1505 0 R /XYZ 72 720 null]
+1502 0 obj <<
+/D [1500 0 R /XYZ 72 720 null]
 >> endobj
 242 0 obj <<
-/D [1505 0 R /XYZ 72 720 null]
+/D [1500 0 R /XYZ 72 720 null]
 >> endobj
-1510 0 obj <<
-/D [1505 0 R /XYZ 72 376.848 null]
+1505 0 obj <<
+/D [1500 0 R /XYZ 72 376.848 null]
 >> endobj
-1511 0 obj <<
-/D [1505 0 R /XYZ 72 350.604 null]
+1506 0 obj <<
+/D [1500 0 R /XYZ 72 350.607 null]
 >> endobj
-1512 0 obj <<
-/D [1505 0 R /XYZ 72 327.017 null]
+1507 0 obj <<
+/D [1500 0 R /XYZ 72 327.02 null]
 >> endobj
-1513 0 obj <<
-/D [1505 0 R /XYZ 72 272.048 null]
+1508 0 obj <<
+/D [1500 0 R /XYZ 72 272.051 null]
 >> endobj
-1514 0 obj <<
-/D [1505 0 R /XYZ 72 253.11 null]
+1509 0 obj <<
+/D [1500 0 R /XYZ 72 253.11 null]
 >> endobj
-1515 0 obj <<
-/D [1505 0 R /XYZ 72 232.014 null]
+1510 0 obj <<
+/D [1500 0 R /XYZ 72 232.014 null]
 >> endobj
-1516 0 obj <<
-/D [1505 0 R /XYZ 72 179.535 null]
+1511 0 obj <<
+/D [1500 0 R /XYZ 72 179.535 null]
 >> endobj
-1517 0 obj <<
-/D [1505 0 R /XYZ 72 156.281 null]
+1512 0 obj <<
+/D [1500 0 R /XYZ 72 156.283 null]
 >> endobj
-1519 0 obj <<
-/D [1505 0 R /XYZ 72 132.361 null]
+1514 0 obj <<
+/D [1500 0 R /XYZ 72 132.361 null]
 >> endobj
-1504 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
+1499 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1525 0 obj <<
-/Length 2306      
+1520 0 obj <<
+/Length 2264      
 /Filter /FlateDecode
 >>
 stream
-x��Zݏ�6�_����'~���k� W�6Y�pi��شW�v$9����eٻ���n�A���(r4��Q�\O��R��s�N�	�Y��s�[�\�N_V�]3婟fR��1/���:}]}�Y�.�Ow�YWm����:oqbU�i��4����(ҏ�����;X�!RU�]y$W�5��hEIw�~O�7�į�%]֛@y�W�_��OL���$���&��]�Uu�y�?��z“
��D8���	�Y=y?���<�O���I��
~�U���#�6YM^O~:���or y�TB$�	<��xuJ	�[���chḧ́�I�xJO�M������
�
-��c
�$�"�_��Li&�J���ٿ�
�r���
3R]Z'(!��(8� 7��"��v�
3�BJ�껕��4"3�/�䎁�
YI���
�.��.as&�N�-��6���|�M�g�0*@��R 1�0���Y0�͙
-�I�rn
E �@�@���ᒟc($r{�_Rڿ��
@@��Ȃق
p�{e�P4���Q�u{�߱�	J�k+Q��[���#h^!�#*��S����
�}��
��J2�V<^����S)��,�ʀ�b��
X ���7�x�|�E�շ���F���g4�da�P`���O��L�h/�(M��(�Ÿ���f��D[��$����bA��m�s���@Uϝ�sg�\�;�g�x��:#�YuF�Kk���tF�/��4�E�4��"����	D,-���T�wEZY�=IW�?���@�� ��-�wE�G^����uE��5��f�+�a���m{AWt��uE�i��
m�݈���Z�s,�t�[P]���`���ƨl�z��#�Kf
4 K�.����ph�XW���s��i��\� �������@�C�
�x��f4�
eJIb��'�a`
�
-fs{psa0��7xLǎ�v�?�2� �p��#�Zar�q����'�ޜy� ���IpLIo�
-6�T����
R��m<�,W�M(��~�u��:�
,��h�
�3Q��n�V��{�]{E;Nx�.[ȸaSͰɿ!&gj�1WtP�`��W|0�K�+<W5�,Z���
��n<
���6
�f��
I�f}����b���
��_�eR����_�h�9p�L+q���-
ov
-n��7~
����2<s���hj[.=�c��Ac� �
�����e�`z\��_廠1<o�*2la
�ȃ��!p�۠�m��VoW��
����
]��y�˖#f��7!���ϴ .��q�
D
����2�>s
s6dzre�#�\M�N����<m
��`X���s�uAD������r=��{�ێ&������j=,
-O�ބ�zt���+MY��4ڵy��2P��]G���vUͪxU�g�!�ɭP��5-X4A�tA����u�`@
�_�������ʍ+��_�ȥ������~��n�����fD�Ʒ[��a
=���7���[���(dT�ɗ�0�i�[b����n��-k�7M���T�2��0:���N,�;
���W�3 [�����க�l��l��h�0�*[0Ē0`M��1|@��@��<$�j���X8I� �;$�}�6�8�!��c9Q2��
hJ�ܨ	��D L�����
n���4z#K�P��:�<�9�Vv�q�ك��}֤�(�I EZQ��jm���
�ٴ�ٷ�W��k���*Z3:�ːg�Y(�����c��w�y��d�
���k�Yl���$��\
�̀�'�lE/X�W1�/��7p/L/�}�tbdwE_�A��"�-����Ϻ�^щ�!�U�>��Cl�48d�cCs�ϯ)5���¬;�ϩ a{�{![�q�z��W�h�{F�PT�
-'8n��]��Q҇;�4bq
�V�� Q�8�Ou
q��
�w�N�#(.�`Ne k at p���e
-
��')���#��AE�*���8X�,/0���
�5
-ט��3?�5q
z���O���m�C�
2s�W����In�!
�X(�R+��Q��9rUʤN1c�I����:�''���P�c���ӿF���E��j�l�9¶�)H�����P
pC�H��B�FWm�����A�mҠ�-dO,�00���D�W�ybis�m	F��ͬ>U�mCQ*�A#Ў)l��&��Ѱ
-ń
�����\
-�ٸo]��E�CX~H\��P�rNl�6��
��4r�>���8y�
�@��"�A�,��mL��M_�*ͮ�M
�ʣ*�Í�i�*�:P��>��1��	t���i[LĐ}��}���e�u}��?��Z�endstream
+x��Z[�۶~���۱ш�d�t4@
�M
�^

[{i��f��v��;�
%ʖ��n�S�BXY�s���7�'_���y���g�U�+l�w�h���ŌO/�:�����Y)��z�epq����J��+��#P��Yq�bK/6�A�V�
+����,q�Y	��p�
�l���mdoÀ5\�Ġ?�0j�s�&��p֟�U���r�
��2��f����0������De|ۤu�s��Q
@>������BxΔ���I'��z�n��oU��T����Ye�;�/��k�Ӟia����䧖W),�V��\fU ��f�~�9�e�y��Ck&�.ʧs�Ҕ��J����
^3������~&�����T�I��������/ϼ��e��jl����#
p��4#x�Ąk��?E�
5��z��<�	󏐥��3pc-�FV�(Džɰ���A�:0����ψU:� 
���P�<bd?�Gj��6�})[r�$. �,R�V�(z�聤��H�k�
+ ���HB��=\-+�$�TL���x�)ׄ
X���O������;�#�UBB��:���J���=�0�����Y�R�Yĺ!Nx����c��H+Jg�u0u'��W�8�r�����8.Ű⸇Ί�B[P �Ҡ��u���P[;��
Ks���S�u�N��c����_�
��c}�
KC����� ��z,�-o��������q�y�V�#�o-=3��~���*P�
|˱�����o����k$P�  >��-��Zer���}���{�����V�
+�jY�A�@>gB�ܺj�u�QH>Ţ�d��L�ǯ�C�P|t�u���G�,mWAw��?����o�
�(�����2�����I�R)�de��)Lئ�u*��u�����j�g�6^�6^ 	
�#�Z��
 �h�/G���Y@=;���
��@	n�,�[5R*�������w?���
\elmX'3,k� +�����	L��C��q�G���D�A�/��w$�b&���/P|ژ�E�;�骻-�e����
����&֛�6P^t_���E�Y���{ü��L)��â���
�U��<���#+x�t|��;��[��!�}�s�

+���N�Yܸ��W�lI�$�m�qL*�!�j���e�G��
0��z�q{�;y R����۴��Q�*\m�N�Cp�
+
k��Ӻ��癣�I:�Aw�
���L��`ߙ�G .֪��
'%�ʊ�� ���F�r��j���l��M�n2��@-s�
��_+�h�6s�s
q���:��K��s7[�����:��9"IO@�;�����Y����Bho�Z��I~��wѱ������^^�}��>�}
�(�+�w
Dz�,	��;Yj!S=�op� g
ڕF���)���6
�8��u
d����
�02o��Mk���3mX���w4u�
8���½���=?6�,���A��̨�~�dY�
� ��|q����_�l}���p^3�jo�p���	h��⃗]�Jnq��9���Ȼ$}��`_a���t�	Xl�(�G�
MP��m�
+rD�����P��p'iH����gۼ�4H�T�΁��ED�X&/��
?�:��-���� 6��ٜ�Y�
u�+�4颗wL�f��;�����ԧ���$ϟ��_��/0��bJq�b�D�඙C]=x�.F	�~��stD
� �LX��(gZ�vG��3I�ɝI9��UW��B�oZjL
�HY�O��ΰ�fh&0y�XNG\��:�y'�eV��6���^C
ދ�WX���冪-,
�4�KW�R�j�mʑ��e�LJUi��($ �6.!<� �3'4fmce
�t�m	}���v�S����G����E%\�N�V�N�(��)U ����xX����͑\�|���~�WP��r(��7�m���g��d�/�e�<�j+9�*:�Z���G���' �@�
�={qm��Q���Z��ȕ�5�+f�Y����~H�=��R;�
ܱg)��Z���
�nl�
�G��Z
+Zm��u��3�NѶ�0ś}�W�YMӤ���±^�`�?k\���ni��
�ڞ�f֥6��w�5�[���r��M�[pъ1'�ϳ����v
���)�&��T=���p�
'�
��Pڃ��v95=�jwr�lɓާ��es0C��/�F�Gg=�jE*�
ղU���=Dq���l�a>�R�M��'��wìf�����)��8P����>��J�A

|�
��I�endstream
 endobj
-1524 0 obj <<
+1519 0 obj <<
 /Type /Page
-/Contents 1525 0 R
-/Resources 1523 0 R
+/Contents 1520 0 R
+/Resources 1518 0 R
 /MediaBox [0 0 612 792]
-/Parent 1521 0 R
+/Parent 1516 0 R
 >> endobj
-1526 0 obj <<
-/D [1524 0 R /XYZ 72 720 null]
+1521 0 obj <<
+/D [1519 0 R /XYZ 72 720 null]
 >> endobj
-1522 0 obj <<
-/D [1524 0 R /XYZ 184.045 715.517 null]
+1517 0 obj <<
+/D [1519 0 R /XYZ 184.214 715.63 null]
 >> endobj
-1527 0 obj <<
-/D [1524 0 R /XYZ 72 410.315 null]
+1522 0 obj <<
+/D [1519 0 R /XYZ 72 410.429 null]
 >> endobj
 246 0 obj <<
-/D [1524 0 R /XYZ 72 363.574 null]
+/D [1519 0 R /XYZ 72 363.717 null]
 >> endobj
-1528 0 obj <<
-/D [1524 0 R /XYZ 72 267.053 null]
+1523 0 obj <<
+/D [1519 0 R /XYZ 72 267.211 null]
 >> endobj
-1529 0 obj <<
-/D [1524 0 R /XYZ 72 227.534 null]
+1524 0 obj <<
+/D [1519 0 R /XYZ 72 227.687 null]
 >> endobj
-1523 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
+1518 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1532 0 obj <<
-/Length 3030      
+1527 0 obj <<
+/Length 2943      
 /Filter /FlateDecode
 >>
 stream
-xڵZK����W,� ��iI|IFrH
����#��=h���ʪ��
;;��SR�f�=;^�0�$E���z|U�?�?��+c_��(�~q}xa�6�E����is}U�Mw��Vm�uU�M׿�����W�f<^���泯l,�a�}���V0����?':���_�L��ֽ��2�?����_�z:�
KXc�v��OwMu�ګ�n�jσ%ϛ���������<�rs
,һE�
��hB���c�:rmu��Nn��q���	��T����_\���U�L[�.c�*�����D_Sl`���4���A�j�*�`pRE��zV'��z<�mD�� U�f��#.[�l�{���ŀ����K�H3��1BOe�妕 �|��R�s�*�K�k���0K!�T@[6}�V�L�Bڕ�S�sD��z
�� �R+�.V�H!T�Q�T�6�}y�S��`^0´�E�9��x����
n~��@ѻUp����c2���I�&�r�#�g};(+��T=�^HA�тBp
�9p�4d�Yh!(68�D$I��~c������( ����&���վB�j������`�w����Q�F�E�,�RF����1�Ќ� �z�q���ZJ7�"��;�&��`�+-�zV�Onr���2�ke�&�&$�s��ZH�%$@	��|u���sԉ�w�/�E�tF��
l.�r$��)�(lX

�d����Y�h4�Z:՛j��
-������SԨ���e����-:�jHV(�OMC�M���脅3�:Ѱ��o���D c����g]@썙��N�6A���b�?�d6��%���
3V�
�[�E��T����}����
�j�ojΛ
��n_ATXk�8�:e']i���}�6,�-�
-��©��
w��M;���i
<�K���[] [
5���1�Y. �=�[F{O5��L�y]�|�l_[a��Pr�9e��L��O�L�FJ���-E�w���F�g��k��G3$�����ϓ�,�

.��R��_�zt{�<L
���BI��kuzU�AWZ䛡tڛ���Ë�`o-m
��X` d��7�K�ST'�2n��3��|�
Q�*��7 l��h�{�>��T�2����9�Ǹ�
�%���٠ϛ�2��R$F�,���y��ɢc� �2���
�%�Upk�ݣ�����p�9��O	�i�F�koY
-�DU��S���������uoJ�;��g��l�H�
��Y�1=�H�G7�k��膒�
$�
���V)�Hg���>!s{����u=��qC�����C4�	c�PH�ɀ�
Y���G-���
C��0>������+�ҙ����*_�CX��
^�����2��
-L
���C��N1F����i�]l��Z��=�(Gh�9CN�p=��n�}+�����%�@��p�r�G�ppE��
~�����mG~���=���拎�nM�L\(p$(*��&}��;���x����Z8��~�
�2�������j紃't]���3��F���'X1+��&��3Ϟq&? ���7.E ��@�mʠ�10(`��|\k�j�1�3������oc�)*
�m�=��+�	��,�
PU~����8�x���TaR��k��L�%��H�x8�Z�9���ǘ=��<
�����<�'�.�� �&V�N�n
�)��>aωm�4��L#7��R��@L/ ��n;O�ʳb	�v����
ڈ��
B8�g�0��5�����0!_;��y�|��O�2�0���S�������6�n��_.�e���sp,���B�D��
q�
)T�t�	�
�||�'7<������/�z����������H��H7�
��Z	��
��f���u@";K�'���{�&t'(��V�$�[���{����R�bG�z�"����]�G�vq+<?^�m^C�}���:��o(��z|ui.��7n\e��%�ˏv����\���I�-��%i�u��(��
9�?}�Z�`�vehT,ȋ�}UR™\���y� J�� �����
���T;n�A�潽Ҝ�5,��3��o
��Y;����E�|S� t������
�gp�n�q��k(�|��TMI
-;>���)�i���]��K��"�����=�Σ>�(CCNtԓ(����W9�f�E��
1W�����P������ n6G�D�ݓ�͵��G�ئa|,A���@�}�0W� JP汯��8>�NJ��:�p]*�\��h�U
-�Ra�*|phE�>7���sH6j��!>#R
�ۤ��s�b.)��K2x� ]x21Xɹ| ]:J���eW���-���/Ռ��c���b%�r0)Ϲ�K�
-��\�d�J��e��=CՀ$���������<��[�Y�)�K*�^=�S8R��1s4���'<�a�ƅ�X�R������[�e!2S<��D��
w����X��'�҈���_��O4lu��K���
t�W��S���d+E�B���Tgg|ٗCş?�7�ڊ�G3���蒰�
�Нx����7	t`���C�.���\$�W=��ub 7
m��׭'M)'�"7!1gY�B/�.�]
d�qW	��R]p�[%3 ��;�FZ�Tf@��q�Ͽv� �iƑg��m��%�3��J6W�����t�<L}�\�A��l�.�!b�\��w�.�s�Pi6�vu3d�q_�'��G �͢X�~#q��p9��1P~���
-�@}K��
�ĩ����5
��E8�C������
`o�h�`1���;Иi(�0�
-b1s�߱,�7ȭȊ��
�5ʖw�ڹx�>HQ0���Ƽ�����PLh�.�E[
-�Z�g=N=�l
\E�dNԩs6.&V��n1i�2�E��}Md�{ɔc��j�?��tpm�����a
Am�L��ɤKg�(Y��_��V�8�u�j���߆����2�.�c�����G��h������' n�H7`
�P�MNrB��|y����݇endstream
+x��Z[o[�~��0�=���/A��� �C��h�<Pe�E���8E�{gwgo�{HY��C��^ff���������eL>g�8���^>7����P	O���'���L9�=޳a�.����%\;�ޞ�r�=
�u5��D��4
��Z�u�����/�h�c�?wU���qN�2a�.J��P&f�
��T��
+��i��'�2��<��«k
�?p��@�_�y	p=��b�
2�,q������[��9J'5C����̓���W�������� #t�Jda�0qfo�=ΐ���*��$�R	�„�m�G�lw�����2���D���Z1�%b$��[��.�;
+4���")����e��*
+
D���%�˜�HX��:4HNR�y�
�ˠ�L����3
+>��o/�(#;
{`\��}�AH.���Y�ˤ��cʸ��
b�$A�!J9
$����JE%5�@$��]��M���&����Ƿ���C|��i��̇��
�p�Ǧ�z����Ʊ���
�1�:�
�ц��*=�ԅ�����%���׶5�&�C��h&�<'�e�`�^���fT?��Q����X��$�r�6x�� ���R�uW}�&�����DXW�/G
*�:�@�]	h�MC>�&_�kz!�X�RJ�iW4��ӱB�wa`F��6�RD��	��÷'�vE���J�s�}Q܍w����8��]t�ً�� �^i�cű�&�(&�LX4��+��s��
+Œ}��\� �����⵬��U%C^���i@%�z^e3_��1ڰ�-��
�) ����`�07Lz�1n"~x&��?U ����㼛j�ͅ�H̢�-�3�h
Q�-��q���y�XA]�*�I<$C�Md�7i�#���I�-�u��}�6Sc!x�^��}�z�l
�w�����'�Q�C�y�F
ݧ��:Ce� ^���mH��m��El4��n���Zq�P�t��w a�6U3�յ1.|$bO	d,K at f�y�� i��%1�BZ���w�Y�(��!����|�Γ-���1�+���#��vY%
+mHGo�}܈孀j�&,�k�e(�(]&�s��k���)-���n����]&�#<翗#�{���{�&�z��w���E�h���Ae��6��M�Vܡr'�~�����*H]�B��N$mO�"m�}'c��pU��?�̳���wt�BSSV��Ǥ��d|�|6N}=1b�=���
I#=�6��z%��%��'U�}�vd�At܉�
+�
�4-�Yn�C]��0h�9
�qbY�
+1S���6���^Y3	��	�v�*m���!a��6�6G^�BXҰ��B�#���.�Zu�7�bs󸕋���ɧ����:h{�]1Ю�x
+�2�?���p��>�g��Sh�bN����\tj�>ti�&V0�E�ft��_Rp��l���O��p;�PB�F�a�,��QA���<b&$"��Cl�uE
+>��G���:�t����WւA,�
=��*H{>2$-�cCd����S~X!�w��˖�
��0���LNU3"Vt��j0�!{��j�G�:3����)�bT�ʵ�eW�}�o�JB�l)�a{�^d����1@Ôݒ���X�FAhѥ��.ޓ��G��{�>{;�UqHϘk��e))
sB@�g��b��+P��Y���X�b��'uR+���3�A�&F��#� &*}�|�8�����uYe��
�B���䁚[�Ժ���U��kxA����F�N�vA�h�#VV�,稞�k%J�"�~E�W�:v��6̦�
�›�0���2j ��.6y�!�ζ�
+e��6U�
q�Z�������{E?B�k�"���0G�!��Y!�(�G���
W
b�����%N�Ɓ�вY$�G��:��_ǜiS�>��\u�0Tc
��j�q'��!�ĚoU���rSew98�����{�
��@H)y|
�N���J��
�B�U���P�c�v���b�	2C�w�ņ�3r"-�E2>,ޟ(�������n�"��05
�4��սD1�^��}��i��5P�?

���rr
�h��KV��)Qe�•�
I���83�^�q1K�#49�j�q��:�ĥ��v*	7�3�nQR�_
`\i�%���砂W�R�(-
/�Y
+g��������Y��䍶���e9�UK������n:Ӻ'�����{+Dෛ�0p��I
+]3)���>�6խ�QnVC�IJ��"dN�zɐ&LVg!�g�;PdeS��J�h5��.b˔�6���*�4}:Ŗȕ�(��nFPsWf;��  ��Iu��
�1.��'"A��ue=���b=#˜���
��p�E%oq����x�~U@�J��6�XT�&�	~��P�Nр�
6�O�����O9�)�d�`"�����b�մF�eN�
����u���
@]<V �57Lޯ�]@Ⱥ�T�����KÉf
�� J�|�h�2o�x3(X�H���(1w9Vα�2��O�v����O������=hc
��`1g��5/�?_ȵf��%`Y�����H�,��1�+�)�s��� B
�S3)8
Ǩ-Ĵ�lS�Q�g[�b09a/�?L��j��U�m�(��<����19F<�ٛK�;x{@e0L�f�fݮ'R�ʕt�{�U����W��;�{���LZL�O��
#���(F�SJ�br�im�Z�t$w�@V��4	
Si:��h
Z�c<����
�ʶ�H�5%V�'?z�q
�aE�1���O1������U��3:���7�O&
<s\�F���p����
p�)
����rj��#����0A\�'_�hQ�>tܕ����������=AK*�,Pd�G�bk>�,��WUl��fņY�~n�f����(�]�1:o�8���^AC��l�7�-���u��?;��
4�"6S�܎a^�H`A��Gd�v����u�A�k��k��g/O���,�yendstream
 endobj
-1531 0 obj <<
+1526 0 obj <<
 /Type /Page
-/Contents 1532 0 R
-/Resources 1530 0 R
+/Contents 1527 0 R
+/Resources 1525 0 R
 /MediaBox [0 0 612 792]
-/Parent 1521 0 R
-/Annots [ 1535 0 R ]
+/Parent 1516 0 R
+/Annots [ 1530 0 R ]
 >> endobj
-1535 0 obj <<
+1530 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [282.218 465.644 308.273 478.263]
+/Rect [282.179 465.656 308.189 478.199]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.1.2) >>
 >> endobj
+1528 0 obj <<
+/D [1526 0 R /XYZ 72 720 null]
+>> endobj
+1529 0 obj <<
+/D [1526 0 R /XYZ 72 697.68 null]
+>> endobj
+1531 0 obj <<
+/D [1526 0 R /XYZ 72 319.171 null]
+>> endobj
+1532 0 obj <<
+/D [1526 0 R /XYZ 72 223.074 null]
+>> endobj
 1533 0 obj <<
-/D [1531 0 R /XYZ 72 720 null]
+/D [1526 0 R /XYZ 72 170.983 null]
 >> endobj
 1534 0 obj <<
-/D [1531 0 R /XYZ 72 697.667 null]
+/D [1526 0 R /XYZ 72 132.669 null]
 >> endobj
-1536 0 obj <<
-/D [1531 0 R /XYZ 72 319.164 null]
+1525 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
 1537 0 obj <<
-/D [1531 0 R /XYZ 72 223.07 null]
+/Length 2645      
+/Filter /FlateDecode
+>>
+stream
+xڽZK�����W
�	X��_|�"�M`d� V���9h$jF뙑,J
;�>�]�d5�Gv�ΐ���W�����woTu#����Yno�JX[�Y)2-��~��ږ��sU��s9;����YSc�
+ޟ��-�|]?���j
v��=�
�>����On����\�o{ĩ*�m���Г�Y�r�?�����wo��5*/D��d���gxp%����3#6-2ii"�����{xv��Ė�m5��o�θ�G���ğ3�q���l��d�`�����`����F��BaL�{~���p"�/�Qtn�����
������Զ>�
+{j�6E��ZHi�@� OZ�D��_�@]���ZV�0L��\;�َn����z�R������sGV�_�)����T���*�����M�'
��0Z��@�5�	Z���#�S�b��yG[��n;	�.4��t�#��ۿ3D�q��M��y�
+o�
+Ű�g�ؿ���m�qܘF 7��-���ݐ����sˈ�5���ͨ�
��3Q(3i8���׎J �¹��eG��4g��
�>vM{o��igf
I��Q�rg�WyV���%_%8��rfNn�/&;��O�
���yV$m�WkKF�����G�����%<����N9)�
+�v�;�5�Z��
�ޟ�΃��{'�
��Ak��2�u�#��%��FG臄C�w������]~G�Y�D`|��{�H�N�\��A�.
+�uu�0m�=
��w�
�C�N�p�SL��
��4���
+٪�U��
+���q��9���Z�����Ǝ� �t�6
��z�#�E�
+f��I�8E���2�epJsO3� U�Ú@H���G����0�B���=>>Z[��5��s[�� "�՟��
B$u ���..�Lx�{v��(�B�J�B��͋
��E
��ۢh�����ˏ?�ׁ��}������.Pӛ3s��aE�ُn�����xܴ�
ҷ�
+)��N���	 ����3��_�
�z�
�l��R���[dא�џ&ۂ�.�U[`��_�@��}� ����8KaEUV_t
��s��i5'<ӈv������7%=)$���P:rƯC���L�h�lGH �Йt�X
��(T�D�- �0��<�6
�a�eǼg�aU:b�Ӌ�
�������%
�)fo�"�'UQ&G��35���
c!E��ۀԁ
u��`�����t�pE

�k2��U�4/YZ�9�4h��8n8[d!,�]�!̺��̒�,E�ƕ��
I
�4�����o���
����jJ!�t�`N)CS�;Z�x
��
g�r�C�� 
+pqYI�,_��-Տ�
������BӶ[�ŕUG�-����V�O���Z'���󎣬��EA~~�^}
+�A���Jqb�����;Kd
=��S�Sǰ6�
0���C����$���1`�#
緁���T�S�P�5��Ȧ�C�Z+tƙ���iD��
ɽ�U�~ 3��Ɓ����1õ	ɘ��y��	��U3��a��q*�?v
���Gl�������}
�N
+�5X�=3�C���=^V� ��m�#�Y�����k��	�B���T*R_�Ze�Ѥ
+"�u$4�;��r+�BhЋ��v9	S�)�� 8�ӑ]����
g��W��	O䕌�8EZJ�v���Ax5�k��3�"&�
ɠ��`9��8�"��2�]
X4_�|�̱	���p �M}�����tJ�.4r�ē�9�cm���O��dyD��wY
^yw�S��	Ug�

�����&�X�-�6`k��a��|���eSx�Uu)a
+G�L�-E�^�<x�"���^6-�8�i|d��G`�!
��%�
�ظ�<�G��b�� ʴn�@�cEWE8�b�)
~$b�������e�C
+��}��N�������U<^���Ns�|�~IYD�\��`D�2!�0�E޶�#�
�\M*��į���.A�[���}�OA3��Y����x�iA�������V7�(OD}�
��k��J0j9/��gyw���=ܖE�񈴊4���J��wf�6G��-�e���5�9���UWk�
��۹X�p�Bfq�����8:3
�[�]n:zVTsPj�8ĖhF��@��J��|W�<�՘co ���V�+B��coV�fj���Y�b���X�����?���t�4���8�[�֗,_36gӒ�0_o�K<֑���f��
��
~i�Ȓ/�C/b��
������
-��C�D�eq�R����NG
U)�u�����(�H�*���]�gB���\ [e at f��s�r�F�8�P�
+�vн=�J�E��B��u���Fy'��#����lo
ʔAQ��~��V]��'�
h���%	���UJ�̜��t�yQ��V�~��	���0��U��u)voλ�X%�rq��4���+JH��7kk������X��W�ڻ�DŽ/H���6��ߙ���k2�J*F�ww�
W�����q>�@:a����ȿ�(�����g������꘦
�*��ZrK+�Y��W�S�F���?����7RX�M��#���d<*�Qo`ԏ���~��z�������‚|�kŒI�Bnw�PBfl��tz��Q�������7����
�7PWy�l��^����W�ZU�Sendstream
+endobj
+1536 0 obj <<
+/Type /Page
+/Contents 1537 0 R
+/Resources 1535 0 R
+/MediaBox [0 0 612 792]
+/Parent 1516 0 R
 >> endobj
 1538 0 obj <<
-/D [1531 0 R /XYZ 72 170.977 null]
+/D [1536 0 R /XYZ 72 720 null]
 >> endobj
 1539 0 obj <<
-/D [1531 0 R /XYZ 72 132.666 null]
+/D [1536 0 R /XYZ 72 567.068 null]
 >> endobj
-1530 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F76 747 0 R >>
+1540 0 obj <<
+/D [1536 0 R /XYZ 72 303.714 null]
+>> endobj
+1541 0 obj <<
+/D [1536 0 R /XYZ 72 228.554 null]
+>> endobj
+1535 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1542 0 obj <<
-/Length 2688      
+1544 0 obj <<
+/Length 1962      
 /Filter /FlateDecode
 >>
 stream
-xڭY[o��~ϯ0�����
��öH��ظ]`�>��Ț5E*$���=��Hgl�@_���x�\���_������WZ�*ˮ�wWe����*�R�)�l�
�߭�I�E+SD�JG'~?
�u��4������aְZ�����q���š��l�[����3=�8�J����{��M4�+S¼�\���wE<����tr����[�Z��8k��8Oe��}�ƽk[��J��-l�8��U[<�~�S��8��	
�fe�)��0�j��*��j�S��9
�N�i�-l�'�b��c5پ��ٝ�������u�(��nH�h��*����_ ˑ��SR�*M�YSiVG�݁6t��i
X�Mo�q�-���h�=7�UhnS2w���)�&�*˳��� ���d��������ݡ��<�����PMw�Gi��]�C�u��조
}D6��{vX��
�[6ig�
M7��PxZ
]c{o���洵��'�xq���ΘĪ�.���۠�p����0v�
�M�F[���

-�1�K�����j�C
R��*s�4�! /��5a
��'g�yޮǷ�
�]е*����0�
��
ʫ�~:������Ϸ���*)�9Q�4�#7��
��%��yq5!�#��x\E]�G�)4
?�[M'�6i����Mw}w�8&
�#-�[�=�6�n;�H>���=J��c�i<���
8U���e
-�O���C;�&SS$�хJ�B&
��gx$��m'ł�P�;�()��d��W�
:�QYY,CC=�gTi��g��g�aߝp�$�К�N�����C�(2N�0�)�;�B����X��p������V:(=C��Z���D�&�a� ���z���׬�"QU�.t�AѢ&>���oo����9�‰���
р�w+H��vKb����C
g
-����O��Z���a
-��
�oܨX�y1S}|�t��}���"�~[Ui��w����1�C�.s���"(�_�ϕkY�6Fi��(���'����&�/+D�o?\d�ү�n�Ây���:
#ci\��=;

!�
p@<��j��
e�f|^$Є6�R�����A���K����"$��Bu䌉�UZ�j�B��>�e��ѣ�	�J�Ƨ�_Du���G��z�g�w�Ҁg���规8v{ꭌv��x��0J���7Ɍ��	��E�Yc|��#kI���%�
��Q�Q�
�9��� �8���q�3�*�L=����i���3�
��MP�lT ���_��I�RH�}��
�E���l� $��Oŀ"��My�nv��ͩ�/�?����"�
�X�a7lf�t-��Y��r.�X���e@�����_�ر_�o
�H���/ ���b��r�	"�=��'t|�G:�_�Tj�5SB9��UzW�4v����4���_n�
�
-�D=��!%d�J� BI�QF�>
-:Q2KP�d�Y��s�L�.ĕ���y8�HRw|���H�mP�nD�H9�
8ɖ�Iɸ�
o�s !��{V�T�d�G:V0�$�2�O[{
-���\�0��L]
H\�)�|hw›�[\����Z�.,ؤ�K�� �J�#(Ǝs
�wc~��[
&���UdH@
:��	ni r���h�4��^�ߎ�M
^4��v:0��ޟ��C�ի�d�]f��l�n^`	�*
_�J�n�L>'S��	��1�F#7�}4=oD�?6k�Μ��0g[�hdţ춧K�/+�&��+|X����a8N�
C7
]"�*K����Q�f^�J�
X\��+����>�����w��yI�r-��L6���M(9cj
���ϛ=+U�����>��z���vp}fN���pʸ
-g��J�p�TU����J@@�/a�f<g.D���R�L��E�p<�;1�k�t�'���.�i���xx�Ni���˥���~�j,�
7� ;<H�D
�`��U2q����]�%��飛JA�el��xꚕ�(�ώa&�
>�ڍ�n��2Ś�fpԧbX��Vo{�s�<��F�u��ٟ]�$��3�ç�@�`%C��l��4�f,YgU��C��p�"	롛�kƩ���I��5&^���n�:`�j�2�X�*��jY�Pa�/�
����൒2��
1�m���]Q�Ow���d}�
N�q��S��Kv��2%:��t�L#uH1?r�z�*��R�GY��jbz�o/�體_@Ľ�w�|r���Fʮ���-�w�2�D�O�
X1s�t�y�d��?���A��/�zXD���m�Lew�j
-A<�k�h�/xk���"�{
�
�J
Vo�Le��] �rۆ�y1e�*���Ӡs @ǙeӅ :�<9���
,����ϗr�
-[��h\(�0Q�tx�e��[���ix��;@H��q��3CZ����2.��T
-@8$G!�
D/�)���N8���_�I`p�����W�b%�f��|r�}�^ލ8M��Ϊ��{��˳I��"7�S�e>z�"eJڜKFw��@�JG��sR���B$�p�V3�*����C�JVp`�����ә�.}�T�Kuߎ*ܜ9���.��A��2�~�1o�K��HH|�֖3XG���zv���_;B�]�� ���s�~��~�?o_�{NjO]A
��Y��z���Vn1c�������H����<�Ǥ;��Kk,��$ZUҾo�^��[�endstream
+x��Y_o�6�Ȋ=8@Ē�DQ���
��-�6}�=8��xM��r����;
�)SRڠ�a�<
�w��C��ɣ'Ǣ��`uY
�,t�JuPq�xg�>H��<��ɱ
	�W��#�/KK!�
+Irƅ&��C1�P�Ak�w
m��aV�|���9��g�^A{�eJ^3��xɁ�
Z�4
��]�&0)���0+T�ۭ������$YA�l�����/,���zvۚ�j���"Ӛ 
oMr��n�v[3ue�9)�+R�U�>Ȅ���
:+
+����m�\�(�t�+�
��W�ix���{e�@�j����H\g9C՘U�i�9"Xom�wg�8q+��2�qw/��0����p�R6�0
iʝn�ԃG1�dI�ص��)��
;���#e3b��"��O2	"q�P��L��<�F�B{?�M�f�wV�(2.�sc,�,v��֎.,�`jG:U��G.����*3:a}#P���Ll7�5�Rpn�e�IX�J0�"sָ���v
��a�8�� �s�
��G3?

�ㄨO��9�y
O J�B׳�-�U�>��R����]�s(hK�^��os%g�ܗ��nq!�r����
́
i&㇬�l�%�W
c�z3��MC4�% Qj��-�S
+�.���%W�.t�6vQ�KU�'
+�q�r�϶1����xy�8d�
����r��x���ڶ'���ޑ>?�M��f��n��z�g�N��gZ~5��X"��
@�
������R��n-n�x�v�ħ�^0xk��v�,D�Da2I�N=�H�f8�|�� �N
��j��OA�:�}>e�B���L |�"J#+�q����B���}�ӆ���� ϗ
� :��
+��]��AJ����>��*r�T�5+�z�l�p�ߦL�s@ý���RS��˄��)�3�!��CB��X�����K�Q1"�����E�,¢���&P�5���
-�����K�ȩi����{*�rб�T@�����`ENv�	���Z/-U>�y-"��
6 ��{�D�7ق@>Ha9ę���Σ�w]���
e$���fC�%k[�f�Y�\�`:,
ܓ���8�L۷���n5�� 7F��"Q��R��T�A֑]���O,�ֽ\n�h#���Vɹ�>���|��t7�['��v�
���a��E|��$�x�����Cܞާh���
�m� ��,.��a�n2A$�h�
<;2��M��
+V+
_4{����C-"uJ��胛]�ZLڗL�r�
Du����ɑ��^�p
�w�4��9Kͤ���'ϓOA��]���*NɕEZ���ll	�Ɉ&UV�qw�lC�P�/

�[E�9

������̤yY%�D�XP�'���]u�
�`��y�q����˝6`*~0ګ
*��U
����k�!�tg�-KF�7��N���Q*�QGv��
��	�J��$�K�w�M�xH��Ĥ�G#t��E�G�߹	�02\> �q�+Ǭ�̂KVֱ�G�����@��0u�j9
k��L��:�V���"�S���(��x
!�m�Υ%�d�^�f��.���� �+:�xI����\���S�7���Y���M���ƍˋ��te�������?ڤ��	b�[�u`�
�RAa]oKIf�6�l�K�yH����PMx
Vs��*��mjs��Ks�/!iQC
RL�ڋ��
���I��������rjtUZ��j�,x�
+o�8>���#(���8�'_�l,(+����ކ_�&�H�/�,W�]��2���j �$����~�!	��eK9�
���QP�'w�#�e���
+��xCb��F���0��P�*����5Ո@���?E�|�^zgZZ*R����C�߿�u���劲�6aIc
��xԭ���<�8zW�����B(d=��1��߆���D��	�b�%JFZv�}8D����_h���q&X������`9��C��R�4��^�<��iF�endstream
 endobj
-1541 0 obj <<
+1543 0 obj <<
 /Type /Page
-/Contents 1542 0 R
-/Resources 1540 0 R
+/Contents 1544 0 R
+/Resources 1542 0 R
 /MediaBox [0 0 612 792]
-/Parent 1521 0 R
->> endobj
-1543 0 obj <<
-/D [1541 0 R /XYZ 72 720 null]
->> endobj
-1544 0 obj <<
-/D [1541 0 R /XYZ 72 567.032 null]
+/Parent 1516 0 R
 >> endobj
 1545 0 obj <<
-/D [1541 0 R /XYZ 72 303.645 null]
+/D [1543 0 R /XYZ 72 720 null]
 >> endobj
 1546 0 obj <<
-/D [1541 0 R /XYZ 72 228.468 null]
+/D [1543 0 R /XYZ 72 608.59 null]
 >> endobj
-1540 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R >>
-/ProcSet [ /PDF /Text ]
+1547 0 obj <<
+/D [1543 0 R /XYZ 72 549.476 null]
 >> endobj
-1549 0 obj <<
-/Length 2066      
-/Filter /FlateDecode
->>
-stream
-xڵXKo�6��W�AZ�bHI�#HN� -�H�C���j�j��V?�?�y����:-�^$>��p�����z��]��)%2�Ϯ�gi&t|��T�6�z_%W�]���]���H}&I��-K$r.�,�ĺ])�
��
|����*�~�߻
h{�	>o�֒�H��L�Ej�)��X�tPS�+?ҩ�7�o�C��Uw\���
��׵� �nW>h�}��ue�@֚M�\s/��r���� �ƚ�ڦG=�|`�
-����̛���^�{��J���R(:�����ٔ5�:�d�}9�]/x
n�P���-U5)���L0�<�e�];�F�5iQ�.��~���)Q4���ް+�Ў�a
�<YZ�ϡ����-��
�TF�
LW�����T��,����z7+2ر�K i��C^5V��8��5��^��&��|�'P�

�r������M�^2�@� Ԏw� a��d�ĮveW�	�<��R�
�r��{֎�L�
z3Ł�3
-�dB��q�B�����/�4��[u,B
����pb�F��NG��ޜ�%�j���L�
�O(��^�_�
4u�.�6ǖ��C����:,�]�u���
OQ�U[n\�
K��o��"��{�ge�~�=��v�B_��%-��

�I�>A��`��_����d���F
‹ Y����{�
-�^G���j~80K�U�
�
�
$q��N ��(��;k\�J�#w"$���JS>�˸�ȿ-n'�X�*�E( 6a�L�J���nM�TY��h?8��.����%�%�B2JA�2�U,
y�&�����޴\���#�t>�%��>��ڕםe���� ��
y��
-�� ��Uv.3��84<w.�D����
�2Ǐ�'V�Q?
�4i�,��2� �:��/��
-
�P�6�>�_"�|�c7,FGo��hٮ��{Y4��xK�Ҟt��
2��=~�E������
�a(�X;:���SU"�l|���7��Z�D�
��8
-7+ͼ�UyS�>l%�V���Dח���
,��c�x��M��-�7Mh�Š��K��W�W=���S@`3���w�K�����v�
0�E`ܰeq%��\B��T���ܴ5�b
s6o��_��
�z7�
�
�DF�X��*�`���k�G�m�&E
w�c�'�5�*�o��i�
�j�Q�ᎡK�����n n��X#�C�97��l��#�}��ġz?ʤ�
Z��
�]�"���F��񮪫)�i'�>g)��X��v,���ͭ�Sv��0\�~ ��1����@��{Sj���`�.)�;����ʄ&Aq�n=�
��Ұ�

�	��x|8�~q��/���s�nˇ�g�����K����h��Rah�z��4��D�����@��Y�#�bKL�|���nt�1������u��U������)�
!-���
XY09��,h&�¿�\��l\���A�&��e���`yd��gRD�t!WG2�ع��v����3��+�~��dp
�O	M(E�1��
2tX�\�\�8�C^���0�qT
]Nl2~�1oT��

-5�����+�n�kg�����;�1[�M87�k���D�g��} �����2�!�tb�A9>,Y�@�խ��!�J!�k;�2��i>
:�7��ӄ?��4��v����)[L�^� �D*����}C�?�:�Q�맵P2i��H
��I�
�xɐ���K.��$� ���“@g��t"�4s��)�^6&�m��oZ(��P�����#��
ȥu-ȼ���a�����!]�����QU��#�!Z���si��WP����P\d����_��iE�(8
-{ǽ��s��?� �t���*q�.��-8���s�TL q����`�
���&
����m��H�4t2|,@����Y��a
-M
fZ ٠nP�G�ؼ{c7�й�p�=
�)�e##���*�}�cE��3�����e'��)v_^�А������K�N�-�S�q)� DP��������W��8��ϟ�$AQ�d)�(���ճ����endstream
-endobj
 1548 0 obj <<
-/Type /Page
-/Contents 1549 0 R
-/Resources 1547 0 R
-/MediaBox [0 0 612 792]
-/Parent 1521 0 R
+/D [1543 0 R /XYZ 72 476.748 null]
+>> endobj
+1549 0 obj <<
+/D [1543 0 R /XYZ 72 401.032 null]
 >> endobj
 1550 0 obj <<
-/D [1548 0 R /XYZ 72 720 null]
+/D [1543 0 R /XYZ 72 362.341 null]
 >> endobj
 1551 0 obj <<
-/D [1548 0 R /XYZ 72 608.584 null]
+/D [1543 0 R /XYZ 72 328.468 null]
 >> endobj
 1552 0 obj <<
-/D [1548 0 R /XYZ 72 549.473 null]
->> endobj
-1553 0 obj <<
-/D [1548 0 R /XYZ 72 476.746 null]
+/D [1543 0 R /XYZ 72 279.157 null]
 >> endobj
-1554 0 obj <<
-/D [1548 0 R /XYZ 72 401.029 null]
+1542 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
 1555 0 obj <<
-/D [1548 0 R /XYZ 72 362.341 null]
+/Length 1944      
+/Filter /FlateDecode
+>>
+stream
+x��YKo�6��W,zZ+�D*hM� )�-�S��Z�ڛڻ�ʛ�-��;$��H�V�&@Q�ٔ8C���/ϟ}���b�9+�^��\hf�^�ܲ
��_��l��r�<���g��r�
�0�a� �
<os�����q�86�� }
�G�=nۄ�_OͶ���{x�=�/�h�	�s ��~;�~�/2��R���
�kFzW0��u��\vJ�D�{�
+囒��:ら���_	���7�i��z2�
\ؙ7%��\w��P�w8U���k:��_�υ9Gy����?��P�J
�Q��0b�
�1�H
�D�D���k�	_�.f��
���ؽ:ˤ˟
4Vސ������Q�ׁ�
���u�ɽL i'����s
�9a���d2/�yvg�(|�CL���{�
_�9��L�:Ŝ5w�C]m����n�\��v�^>��z�[��vʂգ��1�izV�
�e;�Rؤ-Ei�-�pCik�ls�@�=��6,u�g��S�:��

4�Vʺݧag�j��̊%Z�m�
+�#+��D�*n�4��^]U�3�
Ώ!�E�h��l�d�@d|
ܡ
+�L��1�䅗��h�;�Sk���V0k%n�
90�c��m�,"����U��AY�L�פ����.�2�`�֚��Hfd\�9X���kdo���[,�k|���
JT]
������� 8�1�d5�z�%���mȱR�W�7��
�G���I1閊�
�����DE-�
� La�,����y��02�F߸�!�����
WW�:P�C�
�.��,
+XN�6����j�8�<䥹ƽ�\�Q�:�ĀU ivd�!�
+�lǫ���T
]!���_���(�I������v};��U��v� q����_��q��W�₽����M�	�e)'��X=}!1΢O	ѳO�۔Z_F����s�HP��6��P��P��2.�
s_
+ZH_c��i.�^�a�OU��b�f=���
F{YB���
�lQ���z
�������U�wA���5
��U�
������?�J�l���
+0��m�����󮰚2�En��a�x��}�TO���㶷�0��=��w�E�z �UD��$��H�:vG�ԉ]EW
����շ��:���;�z�@t$3'Lt��A����Yc��3�5�-c
�Ȅ��C`J�����D�F��FW������
+;�j=S�
kL
n��ȸ'���C��\6利�q��(m�MN�lS_��Uf[o=�<��\��N�}�ۦ�rg�c�L
+O ��VD��3�JCX��A�
 \>
�]t�N{�
��������4�G�\u�Ku���#H�+�t��o3-P��D�[)�"�]&�"����`܈ZTW��C�#�"��fR��
]�-�)i\K

��X�%Ԕ�L{r��+�&ҚU1��њ�Ɔ�A�a5���L�J�h^���"��K�An5�#�'c|��a\���[y
���a��q���8Џ0��\w�
��ܞt�����Y�
ݚ���'�����@�i�;5��ғ�$��Q�� tIY; %
�"���e�����~�nČf��wb�+�⃚���_�n��
���1qr���]�/鼥,�F����#p"��R�����?>c˜qu��R�TWu\z�-�;����z7�
��{�6�E����-������j���P\��w�
�e�a6�z��f&� $���dX=��oy�2HA��w��,
+
��)�).���pE�
k�A���n�d�V�I͍,'ʑ�[�nv�k�s����������X�nY2��HI%�*	
�5��S?����Z��u����
+��2�wO�(S���;I���n�J�E���$�m�:gy]2�
RJ��RL؂�=1��
T�L
���In T��)������
+|w��j��mh�T����\1m�as�CQ.�����x��{������P�
endstream
+endobj
+1554 0 obj <<
+/Type /Page
+/Contents 1555 0 R
+/Resources 1553 0 R
+/MediaBox [0 0 612 792]
+/Parent 1516 0 R
 >> endobj
 1556 0 obj <<
-/D [1548 0 R /XYZ 72 328.468 null]
+/D [1554 0 R /XYZ 72 720 null]
 >> endobj
 1557 0 obj <<
-/D [1548 0 R /XYZ 72 279.153 null]
+/D [1554 0 R /XYZ 72 545.887 null]
 >> endobj
-1547 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R >>
+1553 0 obj <<
+/Font << /F126 638 0 R /F114 560 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
 1560 0 obj <<
-/Length 2019      
+/Length 1762      
 /Filter /FlateDecode
 >>
 stream
-x��XK������D�v��Z�60
Ę��9P5Ä"�$�;c#����&)��3��`� �Y]���������|�>�7J�<�o�v7J�"K�M*3!-�����z���=<
-�Z��FZ����GK

-x�������[^2�|��
H���

(�
g�	^Z
Ǽ��4k�{j|!
-����Fެ��&�x_y1���hu
�-��Ţ��I]n?m�VZiO6�o@`ՠ��w��NV�?�gju�Ȏ�
*�oԾ
���g��tv;� &����-;��
���p���9����0����r,�8�\�<NF�D��UPq�.���o�'��l�u.t߬�*e��Ѫ�<"�
m�Wkc���Ǣ]��Q
8�Ehǎ��E���8?�T�,�j�J��>��s��Ji�}�Z�$�V������>
k��8
-�c
-��z8�0����(�-�F����b®�yeY4kv��a�@�
Fkun"�<
���Q�b�v;��x�}�����ķ�=�Ƈ��
�
׀0tc�e�S�W� Vk�m�~�)�m�<�4��K����>��V+�d��7��E��z��5B&�1߲�lbEj�o�=F��8
��@[p�.UȴȲ�m��vI�C�
�0�:�ݱ-ǺkQ� d_����梄G猄��
�+S#2�MF��=�ۇ`H	����t���+ ���ER
g�U����T9�Y8�J�xt_�{���ka�CPb�t��`�3�a��
�w0�z8�o�
�e�NE��V�0yJ�|�J|
�Tz(U��t��9�Bj���#�|��`qg��o}^Ŗ`�
Yy4?��OG���g
-GӾ���%��iC�
��:���lu�x�5�dQ%as��|-
�˅
�Pp�L��i�}AL%��n�
-��$@��h�i2n�D�e�4E�į\֦�qص
 NX��8�����Z;���նv�jr`E����)�x[^�������0BRZD
��v�ʖI���a��S�S����j8��h��k���ȃ�c�eWL)�os��q
G
�
D��Ei&﫶"҈E);?x����'�Dw����I���b|���?�ĵ/{�mO��:
�-~!��N[�'dϴ-&AF4����V
��>����~�����s�
Ǝ��{��e�!�����n��`�<Bt�T����4ۖ�G�
��7@�Y���1�؜�呏��)�kZHHŃg$
W�}��W��{�֔�ܖ�kn��m��y*r�ǐ���T�9,kݤ:�	F{`��1O0��P<�WE=� |��R�W�<ݙ�U�$"��?�R�=`4gI�o*�{77N-&c_��&+B_��
~��t����̓Q�D����03����&BM
��,{�X�������#��U��ʷ?@EHM��}3�ė'|�׷�d\�t�'���ow���w��@
�yD�&��f�dL �L�[��&n�o�[�r_�M��L�>s��N@��W�`ʰ{f��]6 2 {��[5��Q9�����c,�.$��%Կ���O0�������
�{��,�H�i��;R�c���S-7���ч�u�|�v�:�m�ȵ}�
/V�W<�����r�b�����KT�"�L�2��]���7
��{� .,�M�*x�m&���T��z�g �$��
"���T? [...]
�ǯ��&���6"S���~�E&��;G���	j��wKt:�Xv�O
pMl9��{
N��VHZޕ�}�r�˥C�;]�e�

3�G9�*\z!Ԉ��x�S�n|@��Z�mղ9珓Lv�eh\�~ʢ2Zs����p0_ڬ��Oq�x���
y����!'�
�����Y~��B��+F�W���\_��>7
~��ڀ@��v_��J�����.���Q_�p"��٪v��E/��ҫE���~�p��C��X�L�p���$P�
׷� ��_���
-Ŧ��endstream
+x��Y[o�6~�Ȳ���#)R�`}X��0Ő�<؎�z��$����ˡx(Qr���
���|�B����o^1Q�0FJ)O.g'EIdv�ӂP�&n�%W�����O��g�R��T�PC�`)8f�&���`(D��,y���`��i�V����z�x���z��%�H��
�n�,ǯK�ߙ)�����T3+�F
�
�<K�Z��4#���x����CQV���T�D�'#����e�
Ңn���f��խG�i?u��Г��p�Q�$�Xs��dzEYj���L��6�ɏ3M�'�g�-�W��{,�9���-xl��t�y
������{7G�"k�3�.
��)�6��� �9���G�6����)(���J�H|
N
+�!~���U�\��`��Y)���7�K)ɸ˕
+Pr����0��ֹ�x��xt�t�v$����h�h'!���=�,��M�)�V�=6H�v�7�ďX�EF�"E�OA����e�Ȳ���Φ���F�V)�hhah����(w�T�}��B�h	Q&�׀�҃��
��ɪB�	�R�
ȗ�օcY$3�,K���
��ڧ�
+}�Mm
�r��BŸ������m;�
� �1��fP�\��.��ԑ5�a���:�@�
6`(Y�|kʫy�AI0�Er�]�Y���#=�\6�8��}����
��Z������‡^"�Y���4�Da��~�g�2+�R�@��y07b���`݆t<p5�������L��$��,���
+оE>�M�tlH�%�v�;���-�#�x�^�V�s;�y��k�������n�
Gڶ%9~%�e����#�b�3�El��o�}6� ݵ���.6��4,�����{�v4���,�Q&��\
�Y$��@�]� �FJ
�Z�8w=p��Iȿ��(G����o7�8rD
5eARV
H>,���(ݕ+���ЪC����R?x�!4���|�bƣ»
6� Ģ�yB��x�t�t����4·�Aѐ�E��
�*�f�‹�]=��7��1�Ñm4�����o�ǫ�u9
�("����D�

���F��c�� �9)
Qm�?�
+I�f�
wT\A_ck
�
���c"�O���+ع���,� �3x�(\q�^n��O�ȩCȖ�X�ţ���#�=9�
��q���ܰ

=�u�oB�g�gc�n���i��ƠQ�ݥ����݅u�>lHX'T a�UW�4e�/?���q_�=�=B��m���ﳅ<�z-!f�_:o�"��18�t�<�Mx��?��U�1�p����3�ɹ��"+wH�����F�w�>�q�k�u��A�;ְ���#��@�:����9 ^����|�0��ut)�k�h��}�K��ٺnq�ۯzxE��V����y��{��vx���u[������m奩�w�t�9S��f2�y�%t_?A\��Uե{�]�kJ��RGzE^�m	
B�?/��m.I)Һ��s�C�ժ:��+܂����w���1*H��F筿��
"r׬��
ч��6�l�w. 
+�j��W3����!��$T���Q��'Q���=:
FV�aZ�5�
�x�}��We�)��n�ɶs�RY�1f���}�C��G��)�>�
6���˧�h�{q���
�e^<c��!P
��A+���eK4��
�t�����J��C���s��>�����)$��D!���H� D�X��Q	p4�D����	'��H&?#�%��(7F�<6��RI���m]�M��!�U0�
z Y��� E��7���Y���]\>��{�jendstream
 endobj
 1559 0 obj <<
 /Type /Page
 /Contents 1560 0 R
 /Resources 1558 0 R
 /MediaBox [0 0 612 792]
-/Parent 1521 0 R
+/Parent 1564 0 R
 >> endobj
 1561 0 obj <<
 /D [1559 0 R /XYZ 72 720 null]
 >> endobj
 1562 0 obj <<
-/D [1559 0 R /XYZ 72 545.861 null]
+/D [1559 0 R /XYZ 72 179.363 null]
+>> endobj
+1563 0 obj <<
+/D [1559 0 R /XYZ 72 140.174 null]
 >> endobj
 1558 0 obj <<
-/Font << /F70 642 0 R /F67 564 0 R /F26 548 0 R /F78 924 0 R >>
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1565 0 obj <<
-/Length 1818      
-/Filter /FlateDecode
->>
-stream
-xڽXmo�6��_�e �&R�-�vK�
EQi�"�Ŗ
��HrRc�߽��h�IV`�bS|�{���Ǘ��~~5�����ΗGq���,��PA����,E8�<�&���К��(�9� ��	�@hi�O'�R���d?��WM�WwyU��(��n"g^6�p��N3�U��G�e;���"�'����\d%��?yZy)-J����ٟC
.r�i1_$</��/��r�Ӡ�k��k�ڂ�v>}䳝�P�RS�v��d|E��qji�(�p���ߗ<3�Uw�
�^�.�c�7�
��s��g�eZ�
�|Й�e�pc�����ZU�?o'�v�Gۛj],��б�^#�)*��t�+J��
��4'_��}
-��h��F�Ԍ�腪~X�
-�̊|ɐɇ�r�H�Cu�-�9v��M�r㊼��X��p���u
����A
Z+�
���a+|� ������)I{sz�K
c��2�A�ckMtW*�]��7U�2�+�<b�u��Dٜ
��8Ę���,^b.�Vܑ����fb�YDX%�O (�
���9(��>6f�9�d�Eţ�
-ؼ������4�S/��0��c�˪(�}{:�(t\;��By������5�N�T��4��h��"{��|��mS��s�{��5��6���1ru�E�2�B�x�%Q-u�2�C`�͊hy�B�
.�-
��h���U
����G.��H�h�
��2�����q�G��
�DNe�E�a��
X䳅/Q=�ո�ǟ~�Fg�|a�2
�q/=B��i ��j ��\c�o������#]
-�@ӇS�
/vm�{w���e�=q%.ɹ�7�ujq1�}�״5^x'�}.�P�@Y���@,2�!ה&H4�.�y��1w�C�� �c4�4��F��I�@E�9:F �pa��9�X�$�ο4'yo;��0�E�}��
����7qnjAJh
@�ْc�����Rf��{ΐ�5�$�]p�ʲk�|H]gF§����
Sn8�\K~��-_S at C�e��x�dG��sKZ��
�I�X��h�D�`j$����nw�~*�I�X�-�"迺<���n�����}1䱀%n��¸S:��
�-3�
M~�1烞��|����C�`�u�B����_?��1�wʾ��
��)��
SСS�y������H"��Om�nv�9��~'��,�]i��U`CWuw�����wv`�w������V�>f�!"me��Seqn:�m��9�
<�p~]cH7�M�
-5�8�O�T����a�~�����I�3�aBH��
F€I��m�K�㊓�����g�5�|>؍��O5�0;
;��c�F\� {��G���S ��fy���-fӓ�>�ă��.4�,nmq~�a5EPO����
*�.�^7�Y-�n�y�i
ܕ}B�F�^��o/�>>�$	�%V��5��@��-�VM<D�k
"�8�??�@c[Z�4��v�w���f�IR�T��	o rӞp�ֿ]`}7�/6�޻��j>Zn�Pa�������m��e�~iK����(VUۙvI�
z���[̩�ҁԱ�FB�F*N��h���?J"�6#i	\`7m�ѝ����~�2繢1p��<2hp������n�1
�򸠴�p�h���A܂��1��U��W�
�_ր	�<H!�Ɂ&E.2~_�$�c}_�FY�uY��gN	��V��
��j�ߏ�2�K?K�I�%F�Y0K�8y p*�?�yQP�K=�j�
�sԅ�Yo0v�,5 �a���
fՖ7�
�
9%�a �@����H�`_�͛���`�
-��DZ9�@�Kc�#��Ο�Ѵ}�endstream
-endobj
-1564 0 obj <<
-/Type /Page
-/Contents 1565 0 R
-/Resources 1563 0 R
-/MediaBox [0 0 612 792]
-/Parent 1569 0 R
->> endobj
-1566 0 obj <<
-/D [1564 0 R /XYZ 72 720 null]
->> endobj
 1567 0 obj <<
-/D [1564 0 R /XYZ 72 179.361 null]
->> endobj
-1568 0 obj <<
-/D [1564 0 R /XYZ 72 140.174 null]
->> endobj
-1563 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F76 747 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1572 0 obj <<
-/Length 2555      
+/Length 2603      
 /Filter /FlateDecode
 >>
 stream
-xڭXYo��~���#'�P��4���c;N��B+Y�
jHi��ay�ק��jG�
�
�]]]]]w��n^\�	�
�w�8����0�z�E�׋R���f��y�׻��Ǎ��bg�� r�/��6H�r7�@�7q��[O�=
U{�E��Wp�nC輽X�w
�}������ƪ#`
`��O7�$���a���'|����,oH#߳8]��G�7#�w�M
��5R�� �$�$a��{�1�ü�z]�+�؆&rS\l�(Jd_�����5�
�
oeae}I�8��ՀU��O�Ra�.���a���1��M at z�j%ږ��
֚\��Bׅ���c�>o�K̫V1���� 8�Ld'�
�*14�M��+�ꚦl7Bc�_Cژ„5���O.E���\l"�!�^�t:Ro��8#��U
=D�*=�`��qju�X�{�$MI��{fx!ق�n>c�X 倵��]�Ղ�,�aA�9���?�o�r=�
c��ڮk�JFl����kτ˼��0u�
���c��M˅4���8�E� s�$&;��,��̥�q���
����a�.��#�w]��^�6|x�"u�� q�>
-��b�&$�]��M�Gw�t
�Htd$��N�R�����8b����^�r�W;�2�LC	e�
!h,�;2,V��ŏi�[F��n`�a�2���<Z�Z�n7"t?�
S}da�V��`�G��qr����,5t��ƚG`K��A�
�
���s�+#�)[U���~����&�U[1�
ˋq~ ��@l��*1X�f$\�^����C��,���5`�38�5��U
-]q��JV
�ɛ=/M�|�-!�R-f���43O��pEh�b�r?��!"/1��"-� �e\bt�09���<��2[î�n�<OpX�\���Kџ�
:�124�V��.�=S[�=�F��8�����X�z:Vy������Զ�\Q��D{SED4[
 �
|*(�����!�˥��T�&6&��3�
��=�!�ۺ���1a�Q�ƺ̇y��3����q����d���Jk�l硕�˳�8�.��mE _X��
Fi�L�CXC �^�(#���G�/mU��|%5��c"|�y�2v�n�=q ���7�dj\�f�;$�g�+����M�XE������뺓,	q�*#��2o�D� U�O��K{>M|�$\-�y��X�y��&��8�.�ZLI���v�)�=�OHW� D��'��l����s$�o6��x��|�
뛼?!/��4��HE�
i�Q��JOl	T��T#Q�Ե
Ph�1�R���Z\��P멀9!Eo�B�Ȇ�s��u����\�xb��瓂D����7o���C�f�gQ2#� xx
:�.#��
���0���&����K��d/b��ټ�ڶ{v/��,������VD.��:h񣪋�;���/9�4J�:`
��UQ���J��
���y�K���Fj$ 3m����x��/+�C%�S��K�^Z�oPdO�� _r��`㇞k[�������s��B<t�$�-�ˠL�
�a,�
%�oP
*_-�})����o"��OO'4��

H���ky-u��NnZ����#P!1��x��yk7��i�O��X�	Q\�z��[rd���3�%��2�z
[!�^}��"���Q�x(��S_
-
ϥ�
40w�z)m�PU�?>�5�RmĜ��qr�����z��z6q��(@=�ƀ��^�����c
��K5��e�C.f� ��/�R����&���q�+Z:c�׽.0ؗ�#�it��r-'����^g/�q�
��K��G�ZK�ju�J�F)��_r���P潍�<�ނ�P;|��(�Sv�
-�1��{��wE�[UԚ}�Z)�ڪyę�վ
�u,�:���Bos���Z��>I�P,u�J�������X��)Bx"u�-*o�Գ������c��Ճ�(��V��L���|��ޡ2�<����XZ�	ю��
�
-%�Vd���O?���燷��'����hop���,qM<?��X��H�s��$@k̏G��A#�<�K��4���i��
�-�g.�B��ѕm����b�S�\xwz@�>��K�Ҝs�
-B�u����z 2�����۬��,u���V
,갧{�T��{��=u^x�i5��8pc��'I����U�F��˧�;w�O��ź��԰�[�u���A�Ƌ�[~r�r+.H�TK���C��g��f�OzԹ;x�"O���L-��!��B��Gr�s��K�^]q�}��۲
-\)"z����:���\�(�Q���:���+~��=m,�b�|XS��tx���%���������v�
>Cgv;

-��H���̐
M6��(�m
�հ�H^��I�d��y8�%Չ�����҄n�}�
Ǒk��,6
���݆
�أº"�9�W�&�� y�^2(�k��иQ`��XW�R9��+�문"^��U"�U=���ő����C
����IQ;��nԁD|
��ԗU���y��ަ�%���e�R��̍���Vw�'�������P�L8q�B��y�������iendstream
+x��ZKs���W������>U�C�H��⢩�
ە���H�X������ٞ�i����yt���
����՛��Ȳ�-ˋ��ES%.�.�I�z����<�%�EѴ�WKh��:I;���`BZQ�n��~���|�CsE��<��,gJ�4,�f��
�w�ɣy4��+h�&b��v���I��=H-el=���Wo\n��*)��"%���O
+���*dΟ#T�"I��o狺RY#U'm^�LwU0�La{o�MN�>�d.�)��5
`Vx���t�EM;X
��!T�i��.a�,<]�R��[�ti �n)���.38Y�Ͼ�7��Ĭ~ي���CG��֑7��Y��P��6���<��o�#��[Q)�D�8W�?C]u�
��ŗr{���#3;�./g�C�:?r�`>���4eC��k/9pI�R

u�|�=�qd��u�M��X�A�Z���.��U�-gj����"os�
+��sT!,7�5��NG���$��Zv�$
����Nʭ��p����-�x�J�Ʊ�,��M��('o�Y�>c�^"ҁ�#�@��yF"�}$yU�;�I��V
$�/�,/fo��H�
›'�&gZ母�+}�<:l�����]D�`�y�[���N=4 9V��3X���؃kЬ�ۇ胐�ȷ>�J���U��qWtp:����>�SF���N&(���û�왜��J��)�s|4���]D��
V\���3恇c}�C�����^��O�1\��:%Q����ڴy����$�E\�q�5Yr`�����
�dO$��O���W���%u�G�S]��3��vu�#�f+
��x""+�^���u��,
�Nզp�9���g���lf7w8x�ِ'��A�Twྍϱ�$`�TSث�
v=�J
�ޅ�K��|9�4�G���
+�ܯ�'?2��P5
_.f]@E�M/�{�6E{�c���'r� u2��q�q�0�< 4�0ce'��A5rv�W��Hr��
�Ihy&
��#��Ww��DFD�a��ͩ��� �J�6g�׀��$vz�"��@T¤Q�N�	�q�
���[�N:ı��=,c ��.N_�-$�
+�
+�><-�"���[CL��E\����j�^��A� �
Tr9����r����I,�
��!�r�G��t��g�V�$���gq�SBG̴N�Z��W��H����7�z�Sw�uH#Kcy;������l
2��(��
*Jcx�	
z3�7���!�FCJ��8�����ԯ�.':�|��h��-�K# ��b at 5E .�|4�po2;�
G��������Y��Z��
�^�xl���d�-[XP�4��L�v?�L���劎��yeۘ4��ޞ�0�u�R�<����8����_/b[s�[�-$
�<��T^���{�S�J���t	!B�,$�[�5��CY�\��H�\<�
cD�1���m�`�?
8�ZLێ

:+��v�+����͠*����L��Q����
%�e���[�
fmք`���.�k�<�����
+
�
�Ssr�w����$�K���L�d�A�^�]�fzǿ�dn9'���~$�/���\�qY�����<o-ZV�H풦n΢3�? \d�/EO�|�5S��ѩ.yf���$z�lw/qY��

+L�9�t��
ƹ�%3�6���g�
�љ6�������S뾹�r�$��-�}7L=�+9�,9>��$�OE �jJuzxV
����G�в
+�e?�Y/�֩��;��,`�!U�i��g)/b�R
[��,0�Au~r�Oj&�Z�z&�Q�oksU�厠��$�f+�
��<�wT��Q([I�V"�;�
y}yPZ(Qkj�u��b�$6-Gp���I{Q
+�4hTq�z
.5��?�0��X�B����2������{jU��ʞ��*��`�����o*�V=p\�y��o��-z�n��+sŷ���>�&���05br�[+�X|
a��_'��W>>����\��� ���b3؆�ѸFUЈ�吣�RS��0�/�{�J�-�^��i��ɷ��cĘ�*���M��y3 ���� %�"x��pW�I����
�A�iS�Á���x�5(�ò4H�������
����Z�{����

�Akd0������*VU���E%p��[���V�Z�����t�ς��I��X�c�#�k�8*
+��&ި��I�V�I��
�h�̗�/����N{{ĝ֩m����?��ڂGL1$o!��s���x�-�޽��zH"8���
^-
@ya5�<SyqJ�>����d��yX�/[XGA_��J~�Ûnb.t�-
�w�>	�X��2oq+�ma���/�WBY�
�N�t��]�f�4�~/������t�od��o)4i�ey����	9D
+M`
M�BQgA~*jy���C����q�uLh+�%!Mq��ݴqI���XPI�F�S��G�
\�(�j�<د��1���#��g�:�
}�!\�uLw��q�t�r�.�X��_A�*J�/����� Z$�1$���������gz,����q�Fl��=���X,.K���M
2)�?j
+
]n�
�����m�
 �b�Ԏ&�J��/^߼�_g�endstream
 endobj
-1571 0 obj <<
+1566 0 obj <<
 /Type /Page
-/Contents 1572 0 R
-/Resources 1570 0 R
+/Contents 1567 0 R
+/Resources 1565 0 R
 /MediaBox [0 0 612 792]
-/Parent 1569 0 R
-/Annots [ 1576 0 R 1577 0 R 1578 0 R 1579 0 R ]
+/Parent 1564 0 R
+/Annots [ 1571 0 R 1572 0 R 1573 0 R 1574 0 R ]
 >> endobj
-1576 0 obj <<
+1571 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [204.069 512.312 211.915 526.26]
+/Rect [204.059 512.351 211.898 526.185]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-1577 0 obj <<
+1572 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [473.243 512.312 540.996 526.26]
+/Rect [473.294 512.351 540.996 526.185]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://thedata.org)>>
 >> endobj
-1578 0 obj <<
+1573 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 498.531 107.139 511.15]
+/Rect [71.004 498.575 107.104 511.183]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://thedata.org)>>
 >> endobj
-1579 0 obj <<
+1574 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [307.139 484.085 329.943 496.704]
+/Rect [306.793 484.129 329.564 496.672]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.1) >>
 >> endobj
-1573 0 obj <<
-/D [1571 0 R /XYZ 72 720 null]
+1568 0 obj <<
+/D [1566 0 R /XYZ 72 720 null]
 >> endobj
-1574 0 obj <<
-/D [1571 0 R /XYZ 72 720 null]
+1569 0 obj <<
+/D [1566 0 R /XYZ 72 720 null]
 >> endobj
-1575 0 obj <<
-/D [1571 0 R /XYZ 72 671.183 null]
+1570 0 obj <<
+/D [1566 0 R /XYZ 72 671.183 null]
 >> endobj
 250 0 obj <<
-/D [1571 0 R /XYZ 72 619.958 null]
+/D [1566 0 R /XYZ 72 619.987 null]
 >> endobj
 254 0 obj <<
-/D [1571 0 R /XYZ 72 467.065 null]
+/D [1566 0 R /XYZ 72 467.133 null]
 >> endobj
-1570 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F70 642 0 R /F67 564 0 R /F76 747 0 R /F78 924 0 R >>
+1565 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F126 638 0 R /F114 560 0 R /F142 743 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1582 0 obj <<
-/Length 1954      
+1577 0 obj <<
+/Length 1916      
 /Filter /FlateDecode
 >>
 stream
-xڽXK�����W9Q���&���m#$�&;X$XZ#�$���س����W�MI
�d� 9
Տ��z|������7o�b��*�]��E�l���Bņ�?G�
/���7o�삐Fyl1��pr;�\�贤?�]�L�D����*ɣ��*3Y��e�D��:j�%m=��x:,�"���NW��g���\�9.N��8��D�Iʷ;#�Q�(�3�-���q�e�^���������Q���zg*-�bE���wB�����)�u"RY�}��4)U��ސ�bm����j�,��{���̢
��0�`�A(��y�a�X�URX��
��2&�;��q���r�q��

5+:�����G�-��v�e{�Y��_؝xE&Pv��Mþ�Pww�t�h��/��0�s��;�F��4�:w�Wu�zC�9s�R%:���
K�Q���Wk���^i�J���Eƶ��}+8�ǧ�s�*�̳�I�@���yh�O1K�
����;�p͒�쭯��Y:_�9T����f���L�z̒B KrO�x��)��LI���q@�5���Q듎kd~��V��d\w|�a}�h81
��9���m��.(
����\�['X�$0Ϛ��ez �u
��͘��6�ҥ.
TܺnW����'k�&o$eJ��Y������06[Q���#b��O~4��@2y �a<=k�+1�.cR[{�Jy9�
;�>1�݁=d��\�nk at b��A��@ηt�����t�m�S���
{��@9�d1Y�{|�
-Dq�t;��Ϫ��ޠf|�����1KȢ���}
 e�mCh5q�${�o��x1�vR[H66����7�LH� �vlG7ȑ��4�ԗ���.5 �$!��
���k6��g0�Ū4��|��,��[�|�˼d([>�yc��׉���~�sbZ���21�vN�D;	� ��'3[��@*𹯹$v! z����	�J�����Ѵ�ԗWl��{�ݦB�n�+se&�U��s����b?��4j�@#� �n�:�8\�$S�Z��p�\��h�*��"��G��F�LR0ur	�4�?k���$���5���q�<Q at 9�_'�y�&T�M|<��}�
2�ջX:}�qʗ�<Wi���9H����_�u������ÒMlT�_���`-�m|�	�awE�T'�)'Y}�y��,	�izoP����PS�W��qr�9��T"���&�N�1�	w�����^ʳϤ��8ɱ������x��]>�y��
���{ʏ��$����6xg���6.t}�
u�+�O�ʖ*�T[��Gz����s�K
���}����\
$�n*n��d�8�y
���:{�[(���Pr��ݗ(�|B&l�=7\�bq����b0ձGU��	A�]՞�/3&0d� [...]
^��9c�}?a[2��j�]t��Y;�Kd�W�J�d�������#������ �閿�����������i� 
v+���<ɋ�
ǒBe2��W|��M���������Gl��ܠtT�g�`
$�
-�|
Z
�AO��A
���5o���½�	
�h8�0�����T
R�+���_hɿ`�Y�y�
��w-X��%���{�·I�����E
�&�g��zW�'�ka��N���
�+4����F8��Q=K�	���e�K$}�
-Y����
�U�����o�~�Brj'��}���=o;�'�o�?��!Ž"5�������1�)`��?���%��X5
-�k<���r�οᗾ�a}��b�x��w܍%�q�+U�3�O�#�9��/urVg�W���>v���\��	|=-�0r���G�e��*ɤ�+2���}�Y��endstream
+x��Y�s�6
~�_�ۓ��Y�")�o�-�u��շۮ�cˉW��b']���>� E�a������F� � | ՗�'ώ
�
�B5���A�(�U^�����m�N�����g�Z
+�U��A�e^_
������_Ά#S��
+�w���6Ñv�
��G����W��2JO����d�m�kWp������	��#Y�A��
+m�`\n�@��l��/
e�b0�Bc8es�l+�zī�i����Qa�L��RK`�*�j0|��
CR�v}�
+W���v޹"�;a�nTUi�]^�[���*[g�3FhK��:ȧ�p�C�F$w�
�-
���ّ�-l
>e��;�xU���>
Gem��ƶ��.�>V$�[��_x���ݒ�t�R
+�������
�Ka.=���ː-��68g�ӡ��tk��)��>O��4�2�0ܧl�
	POo��i ���Ӕz(�"�r͊ѩV|�PZ:UC��
+������M֭���K�]�]����]���w��'�i���|�up���~�4޶������6�S��PEm��hDR&�ci��[���x�n�ŗg/��ij $m���e��ժ�b��h��BQg!李��5�lg\�0��{	C*<Q�Pa;��[\r�_���2$������*H 
,Td;ϸ�/�fPd���9�����c֍tSB����u����0t!R<��P+P�ŵ����F
,�M�GQ�vT
��(*E����
+��sFb�
+��v�9 ���V����	������-��W=	Y�ȭY�Z�'�L
�w01Hx_����.�
�5�>�Î���qŵU���dg�A��Hn�hr���`�&{A֏L���%(X�q��[BKC2M�a*�p�#�7��[)�l�mw$�WJ~�ױot/�߬t�o-�`�(
���t��o�>@�B�BP�u�����pˁP��2x�e����� �*0a��R8�d�N��	G�*��
R/���!�Xl0~�����*d��6�
can
�9�8�Z�R rW�w������z��
�_��&�U
G>�L��1��kJX�Y�v*�Yr�,<�` �b+q܅�
+f<��/7��ڿ�o�$*:8*v�΋�J6�
��?��.J�j�>���*�0�5G�ȷ�Ԩ��
�5��u�T�@0�I��0��i 1@�*�ͩ�[���K/�u�-�)�?���I���yJ
ï�~��Jg{'�{�θ�
�NjhN� ӥS� �^{��ˁ��i�	
�FSٴ�ޖ1z�
����a�e��V�ƻ�C�L;h�����Q���`�jt�jb�ˆ��
%`k�B�Q�l4e�L}�n�E�N�뢄�j�-���;���M|&(KUh��~%0�K�
��
.%�0�}�s�G
`&���P�O��fWr������D�ԄQz*"��N��*UW!�[
m�(=��a�R5����\	/�F�G��'��
c]�A$��x���s�lv��,�~<�����|)J)0r�b�L�����h�
a��>�_�>1��� �x���P�X$Ȓ�~f�W�.�Y�ݾe��\�h�{z�
߆�8X��u�	z_��I�!��91���K�J����۝fu�Vu��}_��0a�	���V�cluĪC`��V I [...]
+�k<�ç��y[y�SgH��V��W�r-�n�X_e�=���J��#�_ė���	���L�|x%��n��p��
+$�����h#;�z	�V{��k1�q��g��Nv�@[TU껦�Pl�w"�wB'~o���t���7�

�IL�I��R���
���~e����
���wY����*Jĉ��d
�>9?��8�endstream
 endobj
-1581 0 obj <<
+1576 0 obj <<
 /Type /Page
-/Contents 1582 0 R
-/Resources 1580 0 R
+/Contents 1577 0 R
+/Resources 1575 0 R
 /MediaBox [0 0 612 792]
-/Parent 1569 0 R
+/Parent 1564 0 R
 >> endobj
-1583 0 obj <<
-/D [1581 0 R /XYZ 72 720 null]
+1578 0 obj <<
+/D [1576 0 R /XYZ 72 720 null]
 >> endobj
-1584 0 obj <<
-/D [1581 0 R /XYZ 72 626.019 null]
+1579 0 obj <<
+/D [1576 0 R /XYZ 72 626.025 null]
 >> endobj
-1585 0 obj <<
-/D [1581 0 R /XYZ 72 577.036 null]
+1580 0 obj <<
+/D [1576 0 R /XYZ 72 577.036 null]
 >> endobj
-1586 0 obj <<
-/D [1581 0 R /XYZ 72 558.273 null]
+1581 0 obj <<
+/D [1576 0 R /XYZ 72 558.279 null]
 >> endobj
-1587 0 obj <<
-/D [1581 0 R /XYZ 72 524.4 null]
+1582 0 obj <<
+/D [1576 0 R /XYZ 72 524.406 null]
 >> endobj
-1588 0 obj <<
-/D [1581 0 R /XYZ 72 424.732 null]
+1583 0 obj <<
+/D [1576 0 R /XYZ 72 424.77 null]
 >> endobj
-1580 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F48 554 0 R /F29 672 0 R /F70 642 0 R /F32 668 0 R /F67 564 0 R >>
+1575 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F69 550 0 R /F32 667 0 R /F126 638 0 R /F35 663 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1591 0 obj <<
-/Length 651       
+1586 0 obj <<
+/Length 599       
 /Filter /FlateDecode
 >>
 stream
-x��V�n�@��
AJ6^�5��DEj/��^�

l�%�]{�@����f�`H(���aw<��͛�����t�����ĬFB����	��W�s��r0O�Y�Bc���VIoP�uX“ic�2V
;�o�+F�g~=�y>�<ɑ
� �`f���• ��I���׬j|dGDw��y��X��Fw�"\Vi|N���5
�=�E���� �f�
R�F��GG��s�@t��1
B
-�����xަk�9p��N'�?ӉH�ֺM4A./c���Lm���)`�5fa!#
[ݰk�^i��.;������CAI���lj96%u6�G��7��L��t�	��`��Iq�m��ƒ�D
�vg�|��iO��&����[V,m+�{�.*�2�
	�3< ���
,��1�OZ`���}�Ձ�3��z�+ ,�
�ૣd�s��E}h �1/��z�
P�
Dֈol�l���,����� wA�
-R~�@_H�^(��
-��ʀ�]�Uc'[ <��u��%��^<�j���K&7
p�34ܶ��T
��ͪ
�T����<�4;� :��>��l<� *�<�	��l`�(}鸔�KԪ.m�Lٸb�pOBzSӨ�׎�Z����W�g�����q&>0#Ǖc!%+���:��ˢE�endstream
+x��WK��0��W��J�'q�rQ	.{���
h�t#m6%	�����
�㒨�����a{2�o^v�&
]�x8sΖB��V�\	
b`e�&_�|r�*��$��Og�G�
a�g���k���s�a<�!
��Y
ϕ�
�h��T�l
+�[Ų^��PcC�2-�� $�oN;#�
UX�] �vn;߭qբ��k���vF3DT�{��e���ى#����-7$x�dg=�d��Vەb�Q,?7O�H=8ή����)�X �$
�ah�t��0
���~�E�֗b?ZЖ%�p������{I�jQg-�|���F֭͂bE�f�:�]ڸ�h�0�\�Ӗ�f��y��I���
�������	�,Cj�E��5-YIV��&㳳k�ǁ�
��Y�ؖ���A��櫓����
�x�C��M ��
+���@BL5k�<
�a�
u������}���~�rCk��f ;r��
+�V:s�A��K�T�?�OX
�˻��\f�*$w�ڶ髨m�Ӆ���:z���|�1Т��ǿ
��"?��ȗ߃�9���6���Q� �7�|l�/��o�~��&_{
+��
+n
�c�8	�#!_0�u�^H�ѻt�
~��7endstream
 endobj
-1590 0 obj <<
+1585 0 obj <<
 /Type /Page
-/Contents 1591 0 R
-/Resources 1589 0 R
+/Contents 1586 0 R
+/Resources 1584 0 R
 /MediaBox [0 0 612 792]
-/Parent 1569 0 R
+/Parent 1564 0 R
 >> endobj
-1592 0 obj <<
-/D [1590 0 R /XYZ 72 720 null]
+1587 0 obj <<
+/D [1585 0 R /XYZ 72 720 null]
 >> endobj
-1589 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+1584 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1595 0 obj <<
-/Length 143       
+1590 0 obj <<
+/Length 147       
 /Filter /FlateDecode
 >>
 stream
-x�
�=�0
D��
-���v>�HT		�l���tB
��,w˽w�2�s��e��9)ĉ1�By���z6��:2_�sڋz�r��\Ȩ�;w�k�Tݞ���\���~˻Q��	�0�ؾi
-�Y�y�PS�ն
�e�Pe'�endstream
+x�=�1�0
�
qc'n��J !!�
1 H��C�'��b{�����~"���&�3�(�� �qH
+�}7W�<-��c]Hќ�����gp#�.��vv+s5e+�4'��JV�|۵4�O��(�����Q�����MZ����1w?v
)"endstream
 endobj
-1594 0 obj <<
+1589 0 obj <<
 /Type /Page
-/Contents 1595 0 R
-/Resources 1593 0 R
+/Contents 1590 0 R
+/Resources 1588 0 R
 /MediaBox [0 0 612 792]
-/Parent 1569 0 R
+/Parent 1564 0 R
 >> endobj
-1596 0 obj <<
-/D [1594 0 R /XYZ 72 720 null]
+1591 0 obj <<
+/D [1589 0 R /XYZ 72 720 null]
 >> endobj
 258 0 obj <<
-/D [1594 0 R /XYZ 72 532.566 null]
+/D [1589 0 R /XYZ 72 532.566 null]
 >> endobj
-1593 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+1588 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1599 0 obj <<
-/Length 2081      
+1594 0 obj <<
+/Length 2053      
 /Filter /FlateDecode
 >>
 stream
-xڕXK�����W^Q�5���I[�uc�A���"�[�W��P�JR����=�!%�R��!g8����7��ë/����V�4�
v��W^��X�z(�����k�
��[oL��\���ە\ml&Reh��y��
����
\�=����+�D�

k�:
���e}\o��ɮ�Q���Z�d���!��}<
߿�7*)��	�6K�q��W=ws��k璼�q�Ǻ�aߵ�?=�Y� o�ԙ!� /ʹ/a"���<��K'�
/��i0"�&n ��d�n��4	KT�
�c]����%�{9n��`U)�r����ZO[U�ӂ�
-
��o��C�
�q�#��J��ƍ�����L�t�fr�A�n�Βg�D�<�G0�N�;|�1zp�s5�yxؗq�%��cW��C�ܕ��+�m�
�8�(�1B5�DJe�=3�	)���V&:͢�=h8��
�X%��q�5 ��.�I��l�y_�
IZ_֩J��&S�5�XC�2�0ЅelJ2^%n�}�KZ�A�/,ϸ9�˂^`
-/_�w�����qc�Fgђ�6��3{� i�E�/��H?#]���k�����.
S� �a�I������H%7~��=A
-~Ä:U�e^p-��hyQ��S=p��l�~
i�
���WM RUZ�h��FT�Q"��z�<g lƤ�1�–�s��W�R&��h�
-�7ȺO��9�~
����k
���hU>2i}=�Y*$8�	����/� ��[�	|��2�k-�z��a1%�
-MX�Q��K� �1/RԱ�~�
*=AKX
AW�
��1
,��VU��mk`#�ߢ�{��<��~Q�4Z��_�1u�:�xX
�͗�@�By�j���d�!U�0��
:(��=J�t�3Fx=�)�6��
[� � ��%�sb� k�P�o�s��w�#���y��X
]H��T`z
�����CY�]<�1�j:#�-�Gr#�H�)�3�Ogv��O��:��YB�T��$��D]�Պb�hX��$�Y\�p1��x�mܔ��
^�X�9�r�p��7D{��q�
H�ho$<@�~`��Iۍ�eGV�0;`��;(Ɏz2*P%6ڏ�)�h�
�A,`�
�F�/� � �n#<0#�# ����h�Y���Cg�M�|@[ԈaO1й>"������5������ >��
������c�}w]�21��E=���=�P��Ս���Ma
����ﵒKlRP��Qs���͵"X��ŋ��I��{�@k�j����N�N��A���v��X"�
Ɓ�ߏcb�o���ҭ���6~vX�/Am��_����"#� �œ�}�3�z�8PX�Lo��1�3�%���&�tY$&B���x�0FOI�� �7f�1��b)р��
?.#�rNX?Jr^�HP���4�k���P�h��&fH�}�P�Ή�-�_x<�QLCԥ��ѩ ��o�#�OX�
��䵗@���Ҳ}�0�/���#
�p�'�z2�h&
��PI�����"�Q��	�1���<P�Ä�� ����/Vڟ��o
8����;�QT_�S7;H���&�7�
�yy�B��7�U�>�-�6�����hj�Xԝ�K�����
�7��
F΄�`���������X��D#�
[�y���0��EEķm���@hCHg����z�����\�2�v-��P�:ΙJ"���p��Sx��Lw�G(p��1��
q���O[�� |�Q�-�7�]C����R
@��΋��Di'P�~~�J}$.Z�Fǁ|�E�I�mUx��&\����Kp� [...]
-_��Ly�J떿
1"t�5n���Na���X4���[�-+
ddc�������~.!�)�j�hRL!�dD^����A��>c �wί
�]�⏞o^~�� �$�R�،>�P5�E0ލ�~�[��~����VOa�rtB���*����O��p{U��
-x����Tg5^h�L�n
-��+Z��❦�
��d��Ыo
^�v�^�endstream
+xڭY�o
5�_q��
���׮��V�(H4} 
+Rr�iN�]B�B
�ۙ�w�;o�V<ln���=�q�9z��f��h];;:��j�('�1����Ջ��Ύ����tW�nm%὞�q�ì�-�NjZ�W��نu���
?�y��q��W�Ϥ�Z<�X#�o��w�9
9_(��S�p�;�����:�	U-�ó
+��|�����0���@
��j`�r��sk�(�9�p��]X�z9#���tΑ�R5���7�+⢘gD%P��G��O2�fR�j[�YP]�E�=��}�j�T��톙��Q$��ش �z�dV�^-�F��c��f��/I&�gZ�i���	Uy3-����2��!��
��z0�5s9x�Fk�>�Tw�N���ztm�&���4��EkkC'\�-
����n\���iG?�T���
+�_����{"C֐�
��1,��	��h/�R�����p-#�ђ�N�Zw��u$�3�������

�-z'8���A!nH�@�
�5���(�ExE��
Iu1��%̀Z;�,Oj�-knB]z�0u��%�W�W��
Z7�8h��]#��RD}Ӳ^��T��E��q�]��Х��'.���8�}�6FVz
+��{q-��4Pˈ;r��4�9�A[�t�w~���泀�x�B��V(kČ��+���p��iXm!��;4I���Bgb
x	���e�VZ'�[����C?ov{�ӽK�$��5��Z�fF6Fo�N�u;� T���vHjy����b�VJH�{4� [(;��{sP+��w砅6P�����>|=?CE����b�����	n�)�@�F�IXE���T=�`�To��6�u��G
o�8�9DLV�
+\@�jDk] W DZMQY�Q&)@�F�
�Ec
o�q3��e"}���SCm�F�����hiܳN׆RM�&tTW�u
+&L� }x�i�[�cD�Fg �$A����#S|ծK�.R�|歐�f�<��e&*ƶi\�uYf䂩P�פy�Sp�R8O���@)�FH&I��)����s����tz����l$:�7b,Fab���4���
 ��-J�6�
sL�U�%e��m��
�

�?�� =95��B��Pֆ���-�ң�7�(���W󅕚�H�]������b"Ü&Z�$E�88?���UB�?�';N�����'�y
Ϗ��B��*񄢾F^���M����Ii2X�
+PUPY(n��
���r���I!kΑ�qe�� r�oi?��	��Eb�%.�����w�3�E�{�ڍ0��0���]�����(��`-�~����qk	N�F�:�
��Bs�,�ɭ��
�<�}
�*U�4@������ِ�K���6����Dt�}��6��U��o;�2-8 {W�����(�����f��9�������N'���]EV��4�m�3�n���I��r <�̬�@ ��K6`H;8G�����ܧ_5�����jZv�����v��6�P`���
UKX�ahj�Z�v���2��T�w;n�[���s��L���4�NN�F������A�
+�
��aMŚn]0���C�	��^"�1-�A�X���-
`����DA�>���r���h�rj'^|�e�X���6�q�f�#���-O�p(��c6�j5�͂��� ����Cjx�]~���\��#@�.���{�j�N��;�X#c���� �r7�Y�$�F^�E
�
�G��>�Φ�Ұ7��b<pWC��*o��=�:A�&A�
�!�M~]�WY�"\����y�t�P�꘶��ݡ��]�E!��,di2p��
��r�Š�9J�ȎB�,�"~�� .��7%�TM�!0�w0�g��=S{�?� Wl��-ǣ2�
Z����ݾ�����f��nf8T���B[
ʀ>A��1�Ç
@!rj�*����&O�fH�q*v�m������\pU���g��?�}kO�x}����h]d�qL�w �ڑM�"��
�W��ϞN/�+��_�$CL��s�R�,���
6PG}9�
D��3�#��
�0Y��8���룗G���dqPendstream
 endobj
-1598 0 obj <<
+1593 0 obj <<
 /Type /Page
-/Contents 1599 0 R
-/Resources 1597 0 R
+/Contents 1594 0 R
+/Resources 1592 0 R
 /MediaBox [0 0 612 792]
-/Parent 1569 0 R
+/Parent 1564 0 R
 >> endobj
-1600 0 obj <<
-/D [1598 0 R /XYZ 72 720 null]
+1595 0 obj <<
+/D [1593 0 R /XYZ 72 720 null]
 >> endobj
 262 0 obj <<
-/D [1598 0 R /XYZ 72 720 null]
+/D [1593 0 R /XYZ 72 720 null]
 >> endobj
 266 0 obj <<
-/D [1598 0 R /XYZ 72 445.446 null]
+/D [1593 0 R /XYZ 72 445.47 null]
 >> endobj
-1601 0 obj <<
-/D [1598 0 R /XYZ 72 390.187 null]
+1596 0 obj <<
+/D [1593 0 R /XYZ 72 390.241 null]
 >> endobj
-1602 0 obj <<
-/D [1598 0 R /XYZ 72 293.508 null]
+1597 0 obj <<
+/D [1593 0 R /XYZ 72 293.594 null]
 >> endobj
-1603 0 obj <<
-/D [1598 0 R /XYZ 72 240.166 null]
+1598 0 obj <<
+/D [1593 0 R /XYZ 72 240.285 null]
 >> endobj
-1597 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R >>
+1592 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1606 0 obj <<
-/Length 1652      
+1601 0 obj <<
+/Length 1419      
 /Filter /FlateDecode
 >>
 stream
-x��YK��6
��W��R�`��
�z�$m�i�ٶ���
���ˉ
IN��?_ �^����NO�Ȥ��>� H��y�򝯮�`��]����e�{�x��
w6.�Y�}���w�w�$�Tp�I�h)��K}c���v
�}�
-�\���x�����+G�E/�˕XlQM\�8�9L2#��8��~
�=�����
�i�����__��
@(�X	�1�f%]�
%�V"d�T3��4m�+��2)�>+o���-"�EG�ś�Ȏ&P�^[��m�_Y�<cF�
��}C�$\��S�{�4,�Ÿ���<��_�$� U�h*���!��$nԗg�
��L�V,��7����cP��0�n�3u�� ��Y�-�Ҹ����G=gM����Ki����i�Ì�1�\
'8��wh�]���
 �##��τ
�}���b�lĥ���wѺB���FY��k'�=6L��K1
��
H�3�H��T�@:}���c��~F�W���M���ȁY���,�loX��'�p͇c|�o\.����Ňt'ps��F��9t��Y�q^ltV/#��TB�n�
9�:J ��
L
Ox��
-W�fp��3��bg=�+�/~��,���~ �8"+J�&��x��r���[:�#�A��M�$�)mb+y�T�@{
ٱGb1��dr9TV9��K����71*��
-�\�
�e]�A|z���)q�cΰ,��{��bV�c�J>**�#Z�{�x`�PN����p���*E^*�=���k|p
�Y
�=0��Ϻ��.W&��ŎJpxg��0��99`�x��f�x}s��yY�s�M������O�]^�K'�k2kE4�,��b�I
���O ����" �=@[�1�ӶT�C,�y;��͘b�
�ߋ x�~�T:C=�����5��t���$�M�dt!�ut5�D��Ү#e~׹�IPS�����~��8�B�� Z�ya���Ȫ�Qb��R0ރ�ۺ�k�ve'F�Ѵ����-͏Q�FM�J��nP1��hP�A�U�����D`u�Fl� ��ѭΦ�Fm��2��i�!�N �*N�ҁ��mn@�(+�B������GN��Fɮ�qn���ڲ<����	�h�b��$�}��z�#���
-	E}���PqyM*�Hu��(�F�ǫˏ7�(�X�Xn�vFB�����b�j�R5w5�b7�U�ӽ��G���>�>�{X+�%H�,T���O�u�-�! ���
mҹ�~�m��T�����MRc�Qz=������S�`p�+]��� ��4�Ǧ��a�i�':-���t�r(��"v�"�t��Adۖ&�
nX5uL�C؏��#+�y�.{���
��n
-�H���
^���:y���	p
o#2�3�bp޶]�m_�S�t�Np�!��W�F�Q���s
�5�S�'���c�
꾽��1%��������=)"/ȋw�-v[Gb��D8���a�O�9�*��P�X����IjL��#����2O[��|�� �K��\�-	׍��ܝ@{Vz�ϫ�vO\ϭ�GYʻ�/�3�H
���;�OQ���fd������^doZ�a�B�/U87f)d��d��ٙ	͕���wY�)Aw��u�$���7�H�ʞ����̯�h\����S���%��3�K�0����ۛ� |�uendstream
+x��Ks�6����\*
��E��%��i���MR��
��=�$ה{�� H�I��;�m�x����g��Ș
1F�0
].�N)���1�^����u�
T�_��P�55^M�x
+�=\�p����m������w�@
+1~�*�|�f
�^�%v�f��q�Z��?iH�)KS[�w]k�šmE;�d��X0
��늩�LQa
�U�pI	cb��H�: ��-�q����aJ
�"�����I`O��Q
 sdf��1��!lT���v�-����!���n�	[AelՃ)�"&�)���
��p="�*B���"�w�A 3w���	��[֭�`��1,	90�
�
+OT[� 3f�'h	��	�f5P�P^^�SM�I�I3�Z�w���SD4E7�5
�C��M�D�
�
+'�XK	p%X�A:ߙ�3��}�B��&�`�
���w zDX��«�O���W�Z��l�(�~����ɓi��ϖ�i4��>ұ��7%W
� �L+�1u�٦"[�!e�v�/�{믡8�E+�L��p؈�ZԵ��F��4
"u����4���
��m_�J-�B�=�!#� ~����e��Q��i�
+�S��V��j�O��{/E�M��Kr�&l�ҡ�:�'��tl�+<1~T���<'˂�w]qc
��
+쫫�nb�{�[�^�ۣ����Bl;�:�B>b���e�.T2�p�Op�y�t�ja�J>���y����c��P�����BF
6�X�t��	
n�4���:�c�������'��s^.x�x��o<?`�����X��θݳt��u �X�`3�xf�x��G��<�ύ�����?�l���q
+���P���־d-��BlN���[�A
��
_]��?�n�N.��
�;K�b^8o)�H�34.C��5�?�ַ1�
�4��3�te�-��.Ӌ^F;���ɾ�r,rHh|�f%r]�:b�M��:�6�q?�+B#�n*z�����4�%�4.(IPU�$A�J%�6���Ux��ڀ����
4�DM�>�p
���+�f�Ht9^P	�c�~�w�3�����9��Y{�v��
з�����8݊[v5�:����9�r��,*�Q���
uH�J�{�f��eu�|ˌ���R��AN�WG�m]�NW���:��u�D�ާ�u��H�%��ِ��}ڏ4��q
�ۮ<��U�zJ���I_�vh�{<gU�r�W���Z]n��=[���5L.^��Ƌ�n�L:��|֘+	>��He�_��.��I]�5�mMF4$��_%4d���:ԲU�D�́Y�o���N��ă���?���?�`��!�wiM��,O�c3%�/�͋c��mV�Dɰ�;
�fޔ��{���N2O�SGV^�o� `���O� 7R$�.����<�
+�(endstream
 endobj
-1605 0 obj <<
+1600 0 obj <<
 /Type /Page
-/Contents 1606 0 R
-/Resources 1604 0 R
+/Contents 1601 0 R
+/Resources 1599 0 R
 /MediaBox [0 0 612 792]
-/Parent 1636 0 R
-/Annots [ 1608 0 R 1609 0 R 1610 0 R 1611 0 R 1612 0 R 1613 0 R 1614 0 R 1615 0 R 1616 0 R 1617 0 R 1618 0 R 1619 0 R 1620 0 R 1621 0 R 1622 0 R 1623 0 R 1624 0 R 1625 0 R 1626 0 R 1627 0 R 1628 0 R 1629 0 R 1630 0 R 1631 0 R 1632 0 R 1633 0 R 1634 0 R 1635 0 R ]
+/Parent 1631 0 R
+/Annots [ 1603 0 R 1604 0 R 1605 0 R 1606 0 R 1607 0 R 1608 0 R 1609 0 R 1610 0 R 1611 0 R 1612 0 R 1613 0 R 1614 0 R 1615 0 R 1616 0 R 1617 0 R 1618 0 R 1619 0 R 1620 0 R 1621 0 R 1622 0 R 1623 0 R 1624 0 R 1625 0 R 1626 0 R 1627 0 R 1628 0 R 1629 0 R 1630 0 R ]
+>> endobj
+1603 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [396.373 684.633 419.144 698.467]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.2) >>
+>> endobj
+1604 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [397.904 665.205 420.674 679.04]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.3) >>
+>> endobj
+1605 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [400.916 645.778 423.687 659.612]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.7) >>
+>> endobj
+1606 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [415.729 626.351 438.499 640.185]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.8) >>
+>> endobj
+1607 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [465.784 606.924 488.555 620.758]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.1) >>
 >> endobj
 1608 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [396.771 684.633 419.574 698.58]
+/Rect [509.337 587.497 532.107 601.331]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.2) >>
 >> endobj
 1609 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [398.305 665.205 421.109 679.153]
+/Rect [166.932 553.624 189.702 567.458]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.3) >>
+/A << /S /GoTo /D (section.12.4) >>
 >> endobj
 1610 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [401.337 645.778 424.14 659.726]
+/Rect [258.967 519.751 281.737 533.585]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.7) >>
+/A << /S /GoTo /D (section.12.5) >>
 >> endobj
 1611 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [416.123 626.351 438.927 640.299]
+/Rect [254.73 471.432 277.5 485.266]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.8) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
 1612 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [466.247 606.924 489.051 620.872]
+/Rect [344.656 452.005 367.426 465.839]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.9) >>
+/A << /S /GoTo /D (section.12.3) >>
 >> endobj
 1613 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [507.788 587.497 536.444 601.445]
+/Rect [513.683 432.578 536.453 446.412]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.10) >>
+/A << /S /GoTo /D (section.12.4) >>
 >> endobj
 1614 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [166.993 553.624 189.796 567.572]
+/Rect [513.683 413.151 536.453 426.985]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.4) >>
+/A << /S /GoTo /D (section.12.5) >>
 >> endobj
 1615 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [259.124 519.751 281.927 533.699]
+/Rect [344.13 393.724 366.9 407.558]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.5) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
 1616 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [254.918 471.432 277.721 485.38]
+/Rect [425.879 374.296 448.649 388.13]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.6) >>
+/A << /S /GoTo /D (section.12.7) >>
 >> endobj
 1617 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [344.95 452.005 373.607 465.953]
+/Rect [422.579 354.869 445.349 368.703]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.11) >>
+/A << /S /GoTo /D (section.12.8) >>
 >> endobj
 1618 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [511.537 432.578 540.194 446.526]
+/Rect [387.204 335.442 409.974 349.276]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.12) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
 1619 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [507.788 413.151 536.444 427.098]
+/Rect [412.752 316.015 441.368 329.849]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.13) >>
+/A << /S /GoTo /D (section.12.10) >>
 >> endobj
 1620 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [344.445 393.724 373.101 407.671]
+/Rect [497.262 296.588 525.879 310.422]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.14) >>
+/A << /S /GoTo /D (section.12.11) >>
 >> endobj
 1621 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [426.295 374.296 454.951 388.244]
+/Rect [465.976 277.161 494.592 290.995]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.15) >>
+/A << /S /GoTo /D (section.12.13) >>
 >> endobj
 1622 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [423.018 354.869 451.674 368.817]
+/Rect [411.365 257.733 439.982 271.568]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.16) >>
+/A << /S /GoTo /D (section.12.14) >>
 >> endobj
 1623 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [387.576 335.442 416.232 349.39]
+/Rect [400.749 238.306 429.365 252.14]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.15) >>
 >> endobj
 1624 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [413.19 316.015 441.846 329.963]
+/Rect [465.976 218.879 494.592 232.713]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.18) >>
+/A << /S /GoTo /D (section.12.13) >>
 >> endobj
 1625 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [497.805 296.588 526.461 310.535]
+/Rect [380.892 199.452 409.508 213.286]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.19) >>
+/A << /S /GoTo /D (section.12.16) >>
 >> endobj
 1626 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [466.452 277.161 495.108 291.108]
+/Rect [429.716 180.025 458.333 193.859]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.20) >>
+/A << /S /GoTo /D (section.12.17) >>
 >> endobj
 1627 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [411.72 257.733 440.376 271.681]
+/Rect [389.057 160.598 417.673 174.432]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.21) >>
+/A << /S /GoTo /D (section.12.18) >>
 >> endobj
 1628 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [401.106 238.306 429.762 252.254]
+/Rect [390.587 141.171 419.204 155.005]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.22) >>
+/A << /S /GoTo /D (section.12.19) >>
 >> endobj
 1629 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [466.452 218.879 495.108 232.827]
+/Rect [473.149 121.743 501.765 135.578]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.20) >>
 >> endobj
 1630 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [381.258 199.452 409.915 213.4]
+/Rect [417.881 102.316 446.497 116.15]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.23) >>
+/A << /S /GoTo /D (section.12.21) >>
 >> endobj
-1631 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [430.101 180.025 458.758 193.973]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.24) >>
->> endobj
-1632 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [389.457 160.598 418.113 174.545]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.25) >>
->> endobj
-1633 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [390.991 141.171 419.647 155.118]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.26) >>
->> endobj
-1634 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [473.652 121.743 502.308 135.691]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.27) >>
->> endobj
-1635 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [418.271 102.316 446.927 116.264]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.28) >>
->> endobj
-1607 0 obj <<
-/D [1605 0 R /XYZ 72 720 null]
+1602 0 obj <<
+/D [1600 0 R /XYZ 72 720 null]
 >> endobj
-1604 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F32 668 0 R /F29 672 0 R >>
+1599 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F35 663 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1639 0 obj <<
-/Length 2250      
+1634 0 obj <<
+/Length 2138      
 /Filter /FlateDecode
 >>
 stream
-x��Y[��H~�_1��@��e�|YҮ���vŶ@����v��s�/ݓ^��ι�cw;!�Y$^��r���N}�R�o��|�!N�j�2c��WЊT�M�T���~\����_}H��@�$}�ӄw����
m���N�c��Y��x��x$ 
T�d"���2
-���b��|��q$��w�e�����[/M� ���VV)���7>��oʒ��Pbo��D
K<
MP�|�Ylj-�ڏTjhd*
-����B+۝Ae*�f���f�8x
[��16s#���9l�VI~4��G~,Q�9�i�4Ⱦv��  �m�xd �,;M�G;��hi�`�5�P5똢q�U���!KU��Cz�
H�Y����������?儅��d�
>;�U
��m;��_"8K�De�������,�C�������
lXS����	�t/A ��� ��Q��qp���l�J2�%�Z^w_6� ¨1�z�
-y�������
�\i��z,�������p� 8@��?ڟC��mY����g`���OG0|�
($��˷�B-+l�.�8����f���Κ۝�=�0�Y��
�x9���W5p�єygS��e�cv'_;u�}�E�}�p�`
���
�x���cBUC�����"����#���h�4q �� ]�iyf��QƆ6��G��:‹��C�<�(�r
D��|'+�
{�p���,Ο��W±=��$���lݔy�.x|��s\��2o-p��S�9��0UQ*Lͮf��8�"xg菣d`�o ��zo��r$C�'/Iƃ������6�(�lF�8Tـ�J�A2�oemX���@ ��_qM�q�yBp��E�Je���[�'�<qNf��C,Jp!ZKƬ[t�<e��8%�]2}��q3Ĭ&���nw#߈�tvK�J^?�w�=���€�+ܮᣱG�[4Y	��n��ol;�u�݅ �AS�$�Qz�#Zp�R��2M����
�J������إ���a�ZD��/���>�/�
���0 at k���%Q�b}k
�KMV�i[�(�sа�&蓯�=!��:�>�"a.4����.��ʁ�w�v#UP�쾕�D;{���0�ls��@���8����7�B���H(yM��^Ge �N��
1O�����oK�#�
�}�q���Y�
�4탄�#���>k���t�;nh~�:���0��;�
��
.hdz��T�������ǒUL�τ�	Կ.� 0�
��NF�kw�����9��B8Q�=:V�ˌW�8�h;I����KǾ���\�����V~�\����#�P��įʱ4;Yp&94�s$1��P��vW����r9?mJp��;�<� �vG�Ǹf��(��а9� 
If��%ڏ}���DG)%�>�nC���
�Itw@��k��F�J��F�h�S�Å\O���b��>�	B�&�����
�gd�F�L���(�
J1){)�Dv@�#��
Ν�Vt��#� � ���ĴR�"s%C�*����(�y23Co�����%��GQX9# s�0�b��r.ny� ^G�k��U
$�,�����
$r��P�
�c��_�{�1N��bϿ���S����L==����
��	W:����=L���Eq��A�|��?��+�%5sS he��_��U�5�e
g�����
?S���(�\��
�e�����;���`S�f�x��@�	Q0z��X�w�] �'Gށ&��N
-�#�(�É
��%�DP;����
���(4S�*�������>EO��=��)Ì*��'p�w��(do)
-��V�c穣�0�zk+7��X�����o���39!|зg
G�b��m��
Uʛ��/�"���;C�e�A*ͦ�.�}@-Lb�V�WS�Π"�*��x�#��
�+W�6n6�Y*!�B��E���*Cmen6���J���������³W�Uo�(��m�$����
-v�/���DA�H��\e[�[BAyu:Vp��WoA<
-�Cq�a��8i���I�섴6@
-/��B��~Azg��.O��N����P�5g�p����0��|?_ğ���*�x�����B����<)Ϲ���KE?��T�;��8Rݮ=//H
I��p��ic�38�gCqq>��xk�O|H�v��
q9c!
�3|���
���/��ԡ��_P��a�<���*��4��6�1w7��<�;s��#��9��»��v4#�]��	[p�U&�0#�8�:<��o�߿�Q�55endstream
+x��Zmo#5�~������Ŭ���� �N�I�@��R�nڠ���IK����x���:I�k���6����~f��/N�|�J��HJQst2�o�H��(O
+���������O�A���J�\
%$q<��+��p�����K�\��p��U��c�Y���R	�����p�j=x1
�FŸ������H+3x3Ty3q�lެp�3�C_jج��ML�ê
+�d�Qr�fm�.	_�D��%C��p$�T� �H�"U�� �x�	�b���Ҕm���?:z�����!�Td"Q����Kw�W"K
z���
��l�/#t�	�
��vU]n��wM����,���ԾL��N��E��'�w�A-���dX|p/�v� �5�C�pH��(��|���/�~J��>��00s�̆C����ݨ�kxtH�6$iف$���HA��XFz�dE�?1��S��>��>��T��${n�G���*�QJ��ٷc�P�y��l�
�S���1�r|�Y�����xRt�;a�T�"��*�@U��Ծ��i�-��`�d�
\�36*
+�
��4��#
 b#.����G�L<<�j�uNp���V|�]���-
�uq-e��>��D�P����$�_w��! Z�F�5�ێ���a̳�:�:a0����Vb҂��rk��7��8��d�q F��RZ,et�~��}��&�z��F��f,�.�֚���{0N������Z�l�9�P,dV���:)��n4���ؒ3-J� �2 ��k���Nu3XT&�z�
����<W��z��	��|X�=9v���ۨM����������U�ǥC����)3�ϲ94U�����Ԃ=Ė#�E�Ie�:��\�{`x!n���F��Q޵ৼ�A�;9�Md��*�F}y�ʓ]�ъ�+Z�
k\1���A�'�]�ٌ���ܗ��|�Sʘ^�����繭v�Ī4��}����Vxl_L]:��N���!fH���6G��)
Ū���� A�� <^

�Qݧ���ۯi�5_�lڅ�y�6�Ď�}G�AAI2nW;�rl�fk˳�^�~X�B��~�
j�S�8�"��g��T)�%կ�##��
IK����u�H��k�
������~ ��~��y�l�����/�ǂ
ﶄ�<��/%
|̋��4iց�5�;ޞ�Z��� 6�•�m
��@���%Jh����o������~�s<��N��}�6̱.��a�BS�;u�%;�җ9�T�Y�5C.zƾCQf� ���6��1�ۛ�Af�B0~�.�c��O���;�Ys�:�5us/���^�σ�tQϹγɀ�	�-$^�qL�n�>����L�
��T&IK�1��_-��:g�D�g��љM�
�W��9\�
��ˈj��eSo&�<��
[.F�@�|��
D�N�氛��;��y8�6�n������m9nMosOS�R͹���!xp�
+�Pc�B��4Q����~�Q����t���
es��BW���U�9�_���*Л�=��R�ZO�D����t��[�k�t�����{K��44i��F��GK!��e�XR�n�ӡ��iX�>
m���g6*������6[n h��Ftf���H!+^�����h�'��Gm�0��t���`�}��[��)�ڍ�
��+������Gĉ�����0�#f �̴:�cn�]��˔C�"��e�x�Y�&�����WE
*�yW���+�7>��3�R7F�.��+f�\'?
�m��8n�LIg�n?�d�*��	?Y��gD����x@|㺕�����iu�k����]�%�V
�2�m�H+�z���q>�!���yU���|x��.%F��Y^�!�?E��
+"���O�m�ǝ���28'��aL�m��ۚynj���
��W�Z�"V��~w�q���ܹ��W�˰
ƴ�Ad�;�L�CFj3|�k\�1�i
���
[��{ƨK�
T�ض�K	�;u�~�YNgF�Y��r/[n�g�[��&�}�6�n�j����
ҝ����|�V������a(����F������*�b�?��|zO_��O#	��������I�v+���w�mu�4&�����"�~�ΖT"�Y)�N��p��v�O^�<�T�endstream
 endobj
-1638 0 obj <<
+1633 0 obj <<
 /Type /Page
-/Contents 1639 0 R
-/Resources 1637 0 R
+/Contents 1634 0 R
+/Resources 1632 0 R
 /MediaBox [0 0 612 792]
-/Parent 1636 0 R
-/Annots [ 1641 0 R 1642 0 R 1643 0 R 1644 0 R 1645 0 R 1646 0 R 1647 0 R 1648 0 R ]
+/Parent 1631 0 R
+/Annots [ 1636 0 R 1637 0 R 1638 0 R 1639 0 R 1640 0 R 1641 0 R 1642 0 R 1643 0 R ]
 >> endobj
-1641 0 obj <<
+1636 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [441.1 704.06 469.757 718.007]
+/Rect [440.691 704.06 469.307 717.894]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.29) >>
+/A << /S /GoTo /D (section.12.22) >>
 >> endobj
-1642 0 obj <<
+1637 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [343.379 684.633 372.035 698.58]
+/Rect [343.066 684.633 371.682 698.467]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.30) >>
+/A << /S /GoTo /D (section.12.23) >>
 >> endobj
-1643 0 obj <<
+1638 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [429.291 665.205 457.947 679.153]
+/Rect [428.879 665.205 457.496 679.04]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.31) >>
+/A << /S /GoTo /D (section.12.24) >>
 >> endobj
-1644 0 obj <<
+1639 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [416.32 645.778 444.976 659.726]
+/Rect [415.92 645.778 444.536 659.612]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.32) >>
+/A << /S /GoTo /D (section.12.25) >>
 >> endobj
-1645 0 obj <<
+1640 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [332.189 626.351 360.845 640.299]
+/Rect [331.9 626.351 360.516 640.185]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.33) >>
+/A << /S /GoTo /D (section.12.26) >>
 >> endobj
-1646 0 obj <<
+1641 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [415.174 606.924 443.83 620.872]
+/Rect [414.772 606.924 443.389 620.758]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.34) >>
+/A << /S /GoTo /D (section.12.27) >>
 >> endobj
-1647 0 obj <<
+1642 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [355.869 587.497 384.525 601.445]
+/Rect [355.547 587.497 384.163 601.331]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.35) >>
+/A << /S /GoTo /D (section.12.28) >>
 >> endobj
-1648 0 obj <<
+1643 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [301.035 408.003 344.315 420.955]
+/Rect [300.779 408.006 344.017 420.884]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1640 0 obj <<
-/D [1638 0 R /XYZ 72 720 null]
+1635 0 obj <<
+/D [1633 0 R /XYZ 72 720 null]
 >> endobj
-1649 0 obj <<
-/D [1638 0 R /XYZ 72 292.727 null]
+1644 0 obj <<
+/D [1633 0 R /XYZ 72 292.765 null]
 >> endobj
-1650 0 obj <<
-/D [1638 0 R /XYZ 72 196.048 null]
+1645 0 obj <<
+/D [1633 0 R /XYZ 72 196.118 null]
 >> endobj
-1637 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F79 926 0 R >>
+1632 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1653 0 obj <<
-/Length 669       
+1648 0 obj <<
+/Length 683       
 /Filter /FlateDecode
 >>
 stream
-xڵTKo�0��W��H�{�ױ ZAAHe���M���l�r�����8�[T		�a�����o���gWy	��,��mTȨHK�*85_�'c�dU��2��3����.����I<ˣDJ. 
��H�P槆�i������̙₄v�G
�� �$�,�>ɸ=���
.Z�

)���nH7�-z̝��eyk�8}m���B at I �H�UZ�mH��B������O�!���7��̽�;�+(�`� 
	:\�z�����7��$ކ�z�����-ѿ�|�
�����3��)tI���P�
bɔ�����3Kb��F"+.s�\4�_ϕ�1���yl|!��ٰ�
���� N���ۭ�� �kD�����8��
�ѐ�#���[M����d

��
-�x�y�z�'�d��BȐ����gs�f)��
����jqi��B?�np��/���< �C�j�h�ϕ�U���	T�qF�y�XfY�K����]V'=�q�5���K?"9�B����@͈v��iBS��m���=ޏ���J�0��3�p�� ח���X�Ԣ{ߛ��;]��c���,��
p�so9�_ťd��k���H՘I�n<��3z
}�wZܗ
�v� �A�4z
�
-�9�z�b_��1?'������'K��J��ٛ��/��endstream
+xڽUI��0�ϯ�1�c;�v
3�!
i�.j;�������[�������g�-�[�v|��N)�)%�8��3/�^*3!��M�_�*�4�o��j��?����{�*q�Z
�(���$N=`T"��'I�UW�{�]�b�?[{:��%�]��3���.:�m�3�����G�S��u��fD��\��{�f�9ij�ހ�{
+f. �!8
+����Z��g����=�Ff׋��Rl����M��[�P٦����5�l���Fm!\��G��+
+[�=���y���9,���l�tUb����:���ܳ^Vr
b
+J�6��pYWm�}�\��:)����h
�&��\s�u9�����¤����aà@�Ȟř� ���-C��<M�E�_إe/�Ib�<�ݔ���@�I��%"M\#[g@=�X�O]��Ʉ�
��jƳ�b�i�e+B� p-��\�R4�� �6Y��-�Pْ4	�j�;�
+N�+��y(���O&^㈲@(i
+��r{�F0d���6l',�T# Q�����q
D��� x���G��W���Y����u� �r}1�>��A�����s ɻ ������Z�=dqM�S���6�ޒ��̆[
�Ul�7 N���
��A��e/��~�;���?@^2��ۼ}�<�mE�ƃN&Q�
'���y?��M��Bendstream
 endobj
-1652 0 obj <<
+1647 0 obj <<
 /Type /Page
-/Contents 1653 0 R
-/Resources 1651 0 R
+/Contents 1648 0 R
+/Resources 1646 0 R
 /MediaBox [0 0 612 792]
-/Parent 1636 0 R
-/Annots [ 1656 0 R 1657 0 R 1658 0 R 1659 0 R ]
+/Parent 1631 0 R
+/Annots [ 1651 0 R 1652 0 R 1653 0 R 1654 0 R ]
 >> endobj
-1656 0 obj <<
+1651 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 682.557 158.19 695.176]
+/Rect [141.179 682.573 158.103 695.115]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.1) >>
 >> endobj
-1657 0 obj <<
+1652 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 658.149 158.19 670.768]
+/Rect [141.179 658.164 158.103 670.707]
 /Subtype /Link
 /A << /S /GoTo /D (section.4.2) >>
 >> endobj
-1658 0 obj <<
+1653 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 633.74 167.294 646.359]
+/Rect [141.179 633.756 167.189 646.298]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.3.1.2) >>
 >> endobj
-1659 0 obj <<
+1654 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 611.656 149.085 621.951]
+/Rect [141.179 611.666 149.018 621.89]
 /Subtype /Link
 /A << /S /GoTo /D (Item.166) >>
 >> endobj
-1654 0 obj <<
-/D [1652 0 R /XYZ 72 720 null]
+1649 0 obj <<
+/D [1647 0 R /XYZ 72 720 null]
 >> endobj
-1655 0 obj <<
-/D [1652 0 R /XYZ 72 700.324 null]
+1650 0 obj <<
+/D [1647 0 R /XYZ 72 700.334 null]
 >> endobj
-1660 0 obj <<
-/D [1652 0 R /XYZ 72 573.757 null]
+1655 0 obj <<
+/D [1647 0 R /XYZ 72 573.799 null]
 >> endobj
-1651 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R >>
+1646 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1663 0 obj <<
-/Length 2575      
+1658 0 obj <<
+/Length 2392      
 /Filter /FlateDecode
 >>
 stream
-xڝYIs����W�X%��4��jR�����!�s�s�	PB
	h �?��tc![�4��F�o���
�v����RNh�^�쯜�r2��S��DɍJ�����?}pr105����aC
��G
�ZϤš���f�J�|�G
����v�5.M�?�ʶ����O���Ma��qp��P/��w�
�
��J)��
�����L蜯�w?Z%�
[��=
�ky	�-��0Y
��䛻z��4F�B}&�|���?Y�*�r�g��/�V���yr�[#l
�|ۤA(�]�uڍ����l�WiZ�:Əlra�Ÿ`O?�,e�N�o��IMa��풧�.N�,w~�w��|��d�V[�,��*+��hjI�Q�;�b�@D��
�j��۟
�v�����<�'t�Q�Q��ռ�@o��o��Tl�Y����I�J-,\�m֑� �r?�}dݭ�V��xA�o���D���l��@�[Pc����5R'r�e�
��_$���"˂S�Hq��9������`�K~C�+[|16
M�NA}�o��
F�ue
-�Jw�5R�VӾ��ڍ��9
#�Z{�_��M
��i�?���)��֣��w��s®k
�G?��
D�g�8����h5�b�[
�ɱ&��'2�
-ڣ�-����థ��bW8�Q+k��`w��e1���Qw~�
-���F��
���2_o�0	�Z-�z~�a����P�B̦�VU8+iJ�Y�oY.�0��._L���f+�}��.�
--'\}gm�bV*����q�ݞ���Dd���W{?˸G����G8�΀!Go�>k�̬�""�j�Z�C���W
a
mJ
#���%���
#;'�o�M����^�?����Z�������Ӻk=oD�>�3�D��"�]ڏ(R+�/����NZ4�#�8]s���xh0��e��P��%9�4=�7n��Fjs�ޗd�k��=�e�6^�'���S�
c�	!�e
́�)B at L�k,c��( ���
�&6_��8����*Z�׉y�YQ1gE��1�C�J���,_iX����+Q�UC��$ah_J�	�7��
~ɕD��D�]�
��N����(6�,M
�D
�����;����G�
-i�)��s�J�YT
!lJ�B��|ʘ��P:��k&�w
�
�f��c�?�.�Ha�D
P<$NSX�Yɳ��%�k�����Ќw
\|����R3�E����|3+0�x"l�gϵ����
��������SK�RդF왝Td�
���ޕ�px�NÆ���)
�z^����(����Kyǎ�,V�gқ\
-e��D��J�2B)���DC�"/���� ��~
�
��#?�j:y�xB�����\
zh�;�NDzQ*i�N5x_�4��
�Nn`{^��Ul�V��ZɄ�̎���4��2
-�L{
V-��_w�x����p�=�A3
�� b�
d]*W3�кsb���a�Yl�u�����q��|�t$�
-D�C����?��
-a�}5s���tœQ���"��ä}�ٕC�:�`P1f|y�4&�a6�C:�ވ�rR��8u_����
|,C�d��;c�WNQ{6U"
��=B�Oex1,�l�P���Z���&���'
u&ϸ` ��*�r=u}+ɭ�Reܸ3��L7S9�����~�
Z��V[
k~w�
-@�O
��IhA}w~�ҕ��0)�5����H�4MB�@��PsJ4���������>��H%r���۬�E


q��f�&^*�'A%�krk�<��*5mLg�Wf��wT,�! H]ų�
p��7Юcx��Y�рt&!��ٙA��T�Ǧ���HޢS�4�3�y\���OÉ,�?�f"Q5��{��wh���
����H��{5�(B�H �9���3�H��3�@hw��-
��F�:>��W�����Q8,�C=Cϡ�i�
4 ��}�ɪ`�
-�"&8���\]1hx	�7�����#ZϜ���/�@t4	�w�]�h���P���3��
g���ٹ^
^��S��w�T
[�94ž�
�H5�m�&�y�'�:ք9eK���k�
�(SH���G�R�f/U\���˺7c��į!����r����%KwnU�6.�B;4�

��
u�(@�
J�ҳ����:�E��Y=
c�i��L�
���@���NGkk��
h���M���<���
�bU=C
��28�7*
��R*UG}Z�b���8
V"y�?D��;�S�襚����[�v�,�el at u�b;�.5}k	;F"~����
�!��}�Cm�؎"�\J��Z	m
�ڏo�\�O�U�6��V��q��N��_}�]3br����#�2�`��R)/��"tV�牸v*��^�N�8���(�>�k�h��9�j�,�2-����.|�{h������
U漮ʝ����/��Rϋ�9��d���@j
-���2՘�=�"��ux5(�ɩm~��w�\1+|�8�
������{F�IYj��A�.y

���T��9�:Qp^SL_j�!�Xyy�ۆ������S���7$´~s�E3�
�Va�ջ�7��.H�8endstream
+xڝZKs#����!��D�ƌ+9$�ݪM�r��\�
h>$%�&)k�_�n�����>�4�F���
��?����N8&�����9y�xǸ���b)
.�\����@/mAosV�qO}�
\W��u�]�zC��/W��?�4�	���r��^|�
+_�g�o�Dr��
�[���מ�L�����_�L��^v�bQ���/j��L��n%-���k��eٜ�痸6��8Ⱦ` p�
Ώ���ge%B	��bZYW�1�,op�g��F�ڂ��/^��녇����_�ƌD�c�����Rv���B��m&:��<GKF�3�""���p�/4��!��̊����
�s�U_����
}kMo{�nOL~%H��ƬJ3%�Y�@x��J�
��Jh��
f�pE�IYi
��$��P�搝�y�J���v9ǘ���S]v�n�Y��+f�J.~�4ͫ�b��a��q��5X���
8�|í�@���:�kH��^��Q�M��c
/CؓkC
ɔ�D��l�0  �R�5o?�r��
+����lƉ%#Z����G�V�!X(s�B�����i��aJ�A��J��D
�.WF���vnk�c�0� �K�7D�]��o��E�^���
i�g����ǯ��4K���
`h
�N��ϋ
��r��O�җ�ˈ穘���J�,�*�n
��+^�7h���E�mR
+�	������c
�Ȟ,���
�5� �<�yy�X��^f�����;9�;�
+wz�
sY#��?;���0	��i&�<7�����!'p�d,SX�'�k��%h���R�;�t
����ґ��_�̛��c�г&e�
�^Q��v��O�8���q�j��&�J

c|�a+�oC��Z�
�Q(8�T�������9
nT��	�O�ֿ�YS��Tv�{���uQ�P��"��	�o8.��O���+g�Pv��y�F�U����W]��z
I=����P�
�)���
��L�ϡ:����X���a��%�7٦�� #R�#��1"sA%�ڍ0����6��>b�'�"�*K���D�!>ϱt at N��D�)��y0�+�w��'Z����u)]R������Ղ�h��[|����\|�)f���a�+���;�SZ`�N	�<z�aa^�]H.瘦G^B��������"��':O
C{�/+���)A�\5�FI"p������
Np
e�����N��0TF.

�$
�d�s2�1�|��6��e8�2Z\T�
k�
_�b�ၝ��@��.��Q6��8�r���.��n�D��(7
s}77���t�d����>A>��[�Z�-�Y�{���HT�ղJcT�B�&����(���N�]\*�b�S�aUUҗ�8�v��:�*����
�M���	���;�9�uζ��ٰ�m��r���U���☋�A+
�6��ʌ�z#�(5#!�����X�����v�
�E�5��
�[|�:�u���9�Ӡ��k
Sܤ��������`=�\�B*H�ɕ,w�p	��5Y �Ǭ�
4*��������ǩ��b���U��.��P�H��nn�6Xs�N����Q{�g�.��}������>���ii�r�G1x����#���xnP�v���
б<��o:)��Ɣ>��	DPj��hh3k� i�u\9���P��qi �d��~��� &�x&�m_���O�_"�0��`������
�Z7����1�B�|Jsc����1����R��9
�
#G���;f�dT���L�eB�%�RU��i2
 :u�:ӻO����
�Xp�^g�
lkz���
�;�8�9�
b�������f_
5Ơ����JTI
�V�T}Qُ��n��!eYg����P~ñ��|){��I�ڴ7�a�ԋ��������?�yc��
{W�0|\�o82�a���?J��*T!�kUg:�if��Q�	h�T&��O$�Y:���$�g['U�sF�&���|�u������
4
`j�S8�ǜ_B���
�
�M��`כ����Ypv��
���jƕ���h
��:q at Xm�N5+��9 ��+ț����S�)6<�IJ�/�ƙ&m}9[y����na�3�@�pA�#1�
����d̗8�/�����d*��d�&��
$7�yGB�{,U$��6���*J&��L-�b:��)�
;6f��*�z�!)�
�Yf�ZE�AǨ�J�稊l��#��7�@�յ�3�B˙ܐ��/g=�2T
$)���� �����%v�f:�:��7-qX�񣠥c��bj��7
�-�c���#~�n
�~kڳ��~Թ`��	)�T|�{���9
r
H2�3��	���Pl�R��Rl]�\�D�6|��x��ihb�d��Ń?�U�)��������
+�~�x����͋Dendstream
 endobj
-1662 0 obj <<
+1657 0 obj <<
 /Type /Page
-/Contents 1663 0 R
-/Resources 1661 0 R
+/Contents 1658 0 R
+/Resources 1656 0 R
 /MediaBox [0 0 612 792]
-/Parent 1636 0 R
+/Parent 1631 0 R
 >> endobj
-1664 0 obj <<
-/D [1662 0 R /XYZ 72 720 null]
+1659 0 obj <<
+/D [1657 0 R /XYZ 72 720 null]
 >> endobj
 270 0 obj <<
-/D [1662 0 R /XYZ 72 720 null]
+/D [1657 0 R /XYZ 72 720 null]
 >> endobj
-1665 0 obj <<
-/D [1662 0 R /XYZ 72 671.714 null]
+1660 0 obj <<
+/D [1657 0 R /XYZ 72 671.745 null]
 >> endobj
-1666 0 obj <<
-/D [1662 0 R /XYZ 72 590.115 null]
+1661 0 obj <<
+/D [1657 0 R /XYZ 72 589.544 null]
 >> endobj
-1667 0 obj <<
-/D [1662 0 R /XYZ 72 522.961 null]
+1662 0 obj <<
+/D [1657 0 R /XYZ 72 507.343 null]
 >> endobj
-1661 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F79 926 0 R >>
+1656 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1670 0 obj <<
-/Length 1638      
+1665 0 obj <<
+/Length 1626      
 /Filter /FlateDecode
 >>
 stream
-xڽXIo�F��W>Q�5�
.A�C�H�Ea��$��,��p�e�o��HqbZhҠS��y���7��.�<}F
�Ub��r���E���
��~���wK����#���L'-a����������n
).V��4HEo=��B/�.�*r�¥5/����

���*[��S�պ�
-j��0�9�z9ί�L��Ew*�e<_���{�t3��F���E���̮^���Y�r�.E!Mq�����<C�p���<ݢ�{��g�[W��Kc�����J'�J� (�*�;ȃF~ؗiE*��;
a�7Ez]�Z�8��n1�%
�eW�K�Dzʻ�<���[׸���9v#�vK�Of(c�NA�mQ�
�|������wsH0*ё�������-�*Oǖ[�j.޾��X���hU�4��̹��\�8o��PGjQdw��)��f���]�T�� t�(
-"���e�u����YZf}Ia
��K/�u��H�,�F�ִ?��ђ�r%hs�~b�����
wK	m��ۢ�r���7���� h~�-��޷
�+����m�
�#�3ءq4 vm�B1�Ys��r�ҍ�����g&�䁳�)�$���e54!���;��9d�f0gx�W��.WF�t��:+l���]��~�
�Co���{��3Ժʜ
�i�j|';�*�>�t�K��_ri��(����~͠�x�6�b?툻�M+ļ����G�u^a�:�c�����;BI<
�H���}
�æ�1A܈V1=aDb�� =�< a�Eu��m�(���%?�Ӌ|��)1R���#%��Y�3�
-<���ל��j�D�@�Z�Py��?r!d�5dj�,���D�
(9�2'9�q��X�8M�j��8<x�ŊZ�
L#/�t��Q at z� j�#�g����\Uc�P
ƫH8?7(���[W�0��6$!�&x�0��j���#��ӽ����=*��7���4���r��}�?�5Ȅ҉Q �d�f����9+Q�
�ܝ��E�ͨ|�{e)�@�G�8m�g1�i��)��N
��S���s�,><<�#�c�#�e�܋ �iYZpG�ŵ}���n��
#Q���t��8�a��>'�A
��<���Z
-��TT�gZ4d�Fn�#u� ��
��Fy�P�6�
zp�
�j�ip��G����=�5�P�V����
΀�H����BK��A$�v��y��N+ڎ���B�V�y
��}}�x4��
������� 9ޫ������9
�?�"QW������D�ĐB�G�Gܔ<����r�G��l�C-}%O��B3�E�
%g���������v�� ���G�"��D�:����o��VH]�;&J����Ck(7�V���d�5F�T=Mu������`�}GM���3wO�Dz�Q�@����P�(�Ɨ�o	f{�:k)�ڐ'x��f�د_*�d�
)8���S ��XG�������!^
]���0�YrI�(���ǜ��Ş��k�?u,��̡�me�I�E�5�p6���
���K�nthi�hU�����p���G.	`�p;&�
l'�sg�ǩMey���
�IÛW[&����s�
V�G_������+
Dp��U1T!	p��O�����endstream
+x��XKs�6��Wh�
5
 �H�Nۙ��&�
���$Y�b7v���������ł(J��4���@����~t��c��L)QY;;Z�
+=+d)���V/�_�Is������WG?����*g��Bق<��:� ��<�L������_V�³�_����"yG�UR{�eD|�i�t
�a3��j&I�k�Lߒ�]�3#�*�ȼA�(BJ���T�q}��9gM��"��v[ǼՀڴ�,#fH~�l���
1��x��T�K�.���
�
�k�
+��RU��J
/F��	�
#uR��1�E��-�������M��c>[7b�湎B�������,���Z,��@tP�6_J+���?�`K��,y��s]�i.
�Bsʌ_;]z�G���VT2�P�#@.��
+&ڰ)1JI��<"v3!eE�)�?%}G�(E�-K
Ew.l�Z�
��]n���4�2�.�g�~]�0:P�7�5#���7�~q�
�n
����p+y]����
�kp[ m��/x���$5�$O֎�=�q�N��(�O\��V(�
����8d�{�N������l��s5�iZN���n3,�30�b�1E���剝�,�#C���ڥ��v)K���
��i��޻�����h
�
+fEN�ʒ�����W�;U���?@�F�!e-RU	�w{���ƽI�l�7QkOY!2{�"/��DMԣp�S���۷��H�B���D9`GL�]y��%����V��RE�(
E5�Ot)���d�t��N�$9�;��P��T�"��ýE��
�e����{a��Yu��Q�|�w�q�7]�A:WW.�ɅQ�r��
���(g�}��
uZ�*!&�sR4��8�f Q���ߡ�d#i��j������p��ߐ/p�������C��_
+#}@2�
*OJ�?Q�����o�W�@�|�>�~��Ro��%|]kG�+��\�W�]
B�Q04�+��A��CO��
�P��>���0����p �Քs*%�՟�7?��>��+ڎH��I�T�p�M��-{kM�
�Q~S�1�v���1����D�s�	WXJ�3N��t�
�q
+*��7�3WE~��j

B �Z��x8$
���8S}Z֍�'�~V<
 �nGے��T�
�+�[N�����5��AS�1����ܤ)����V��X-J��r�(G���ò������́�
�u���kYP�&9<�
r�r�ȃn(΄(��xD�F�a�
GV�7<'�u��T���^w�މ��|]A�?ݏ�.,��/�O�etݡ�7��3�U'���v?wY�
��|�g0���o� v����nqo�#���
�O�g\GF_O(�
*ğ
�Dzp;qK�����D�
�21ԡ����c׮{ؽ�a
����c�?����7~�{�X:���Z
C
K+
+cC@��†*7e���so��b��R���Q5���o��2�ߟ�M4"qE��vP� S�hd�o(�J�A��d�i��
�4,+���ϻ,�R�=0�����v�uw���+���:t!�r&�&��vU$b�!�
$�_��a�y��LM������kp}^F��ݭ���=���Q�X���
+�aTV���]��p��� �GGw�Y�R�endstream
 endobj
-1669 0 obj <<
+1664 0 obj <<
 /Type /Page
-/Contents 1670 0 R
-/Resources 1668 0 R
+/Contents 1665 0 R
+/Resources 1663 0 R
 /MediaBox [0 0 612 792]
-/Parent 1636 0 R
->> endobj
-1671 0 obj <<
-/D [1669 0 R /XYZ 72 720 null]
+/Parent 1631 0 R
+/Annots [ 1670 0 R ]
 >> endobj
-1672 0 obj <<
-/D [1669 0 R /XYZ 72 697.999 null]
+1670 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [339.498 455.071 525.838 468.014]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1673 0 obj <<
-/D [1669 0 R /XYZ 72 499.203 null]
+1666 0 obj <<
+/D [1664 0 R /XYZ 72 720 null]
 >> endobj
-1674 0 obj <<
-/D [1669 0 R /XYZ 72 258.564 null]
+1667 0 obj <<
+/D [1664 0 R /XYZ 72 700.334 null]
 >> endobj
 1668 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R >>
+/D [1664 0 R /XYZ 72 537.933 null]
+>> endobj
+1669 0 obj <<
+/D [1664 0 R /XYZ 72 473.167 null]
+>> endobj
+1671 0 obj <<
+/D [1664 0 R /XYZ 72 417.538 null]
+>> endobj
+1663 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1677 0 obj <<
-/Length 1434      
+1674 0 obj <<
+/Length 481       
 /Filter /FlateDecode
 >>
 stream
-xڵW[o�6~��>Иň��Kv�"-zۊ&E�5}Pl:*[�$;N��|<�"�n3�ۋD

�ܾs��Ń�'qr��̴>�X
%�Q�ҏh6/���jSN�0'O��xL�j=/��v��/L"�6O	�4skX���^��նliZ�L;�!J�6��|�x~�$�*�G^HEjB���a���C�%�
-����V}.}��0X�!��J	+�V�y��R�k+�1�Ů07<j�E�Q"�>��MI��\'O���Ҁԏd���_ɍ*slls���>��nہb0]��(
��$a1���4�0��<
-Êkg�G��9��_~͎ǎ�ͷ3���#^�>[c�Z�oʋW����k4�éU]���i82�Y=��lw&�篪9[3��ouec	Q���^\��4
��x�cH-g�S�"{[O/�x�"��`�5�c��n
d
�v0
�,�E���RA�j
w�aS:[�v�,X2�����!/G�����
� �Q��4л��p����g�`��ٝ�zn ������{��$���$��H��o���˻��l^�LZ\�
��
�=�Sc��j��S�
!�p��\��;��8E�r�C���ٙu/V�����
��b�ģA4���
6�[)>�������� s��ehP���CL�>���㌚.E2TR%�ڹ�m1���U����.�H
�:�e��C�L���ٹ��l�25�H*
,�f�=
_���M���
��H
��&�iJ�9��+�ؖ�R��65�Q���|[y� �):��`R�}&5�͆M��ߚ9�W��ܔ���gߦ{H� ���<��r�wПT��͇�o��kp���^
@�d2��s��%i*���E��ڶU7��j��j��o�I&������#
}�4G���ҋb}=�a��>N�e�+r
���-3l��+�7?�(B�PW����
�ȗi��w�x3����貴
�!Myš=%����9)݌=W��bq˕'��^�+�{޺
-˵AN�(�
�e��wUL�-�5�ӴC�C绢m���������*
}�z_r��¡�Q�=�%߉�ۼ͝��Qݼ�z��ä�18wgC�ǡ�������2��uV�A��A�jM�R�.ދ��+�:!⚝�0���9-
�S�,݄=��։i$^I7���`��l
�� �ݹ�%�"�w>F
å
-�W�G����B�Z5-�,|�OHh��-�σĸ��d	^K�'��lZ�0��
-%��J�$.���܌9��>x`� €�o|���]��>tI7
X�e2˺*v:	4݉!��B��dE�y���Ejt)�[����,�m��N�cJ&��
-��s <Y,}�=���A��(b�c
F(�����і]�l7'���Gx�p��
��\R�:��UT��8�j���
/G�s���lXƪtY�*x��(�B˗i�=8�x����6endstream
+x��U;O�0��+�����v�(	�
�H `@a��iKE�P�J���s|�m�n
�l�����l_'��-�aԍiL�)�)	i�R? I��9�:����tYgX2�
��Q�S at .��0� &���r����J
�w?F�Lz}BխXr�;�Ij��G�<��
�F
+�#����נ�,�dڑTY�	��L�--,�]<�SY^��Sۉ�
+��T2�*#�b�Y�[-�� �����;#-3���ؕ�
�����B�}���jqV�G���7K�AR8��2�������
!6
X�b8���-�}c��hG6�L�L�32ʕio�RLNɨ��j���#>ۨ"y�}��
ے3~��no�v?�j����P��
+�[B��F�
t��,U���
�����y< ����n�
�Ջ
��F{��& y�$�&��f��8�c^�|�F(�E��
�>��vk����׻��scޘS�����8~������zD@�5LZ?-
+��endstream
 endobj
-1676 0 obj <<
+1673 0 obj <<
 /Type /Page
-/Contents 1677 0 R
-/Resources 1675 0 R
+/Contents 1674 0 R
+/Resources 1672 0 R
 /MediaBox [0 0 612 792]
-/Parent 1636 0 R
-/Annots [ 1681 0 R 1682 0 R 1683 0 R ]
->> endobj
-1681 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 431.457 158.19 444.076]
-/Subtype /Link
-/A << /S /GoTo /D (section.4.1) >>
->> endobj
-1682 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 407.049 158.19 419.668]
-/Subtype /Link
-/A << /S /GoTo /D (section.4.2) >>
->> endobj
-1683 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 382.64 167.294 395.259]
-/Subtype /Link
-/A << /S /GoTo /D (subsection.3.1.2) >>
->> endobj
-1678 0 obj <<
-/D [1676 0 R /XYZ 72 720 null]
->> endobj
-1679 0 obj <<
-/D [1676 0 R /XYZ 72 697.999 null]
->> endobj
-1680 0 obj <<
-/D [1676 0 R /XYZ 72 449.224 null]
->> endobj
-1684 0 obj <<
-/D [1676 0 R /XYZ 72 347.065 null]
+/Parent 1631 0 R
 >> endobj
 1675 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
+/D [1673 0 R /XYZ 72 720 null]
+>> endobj
+1672 0 obj <<
+/Font << /F108 553 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1687 0 obj <<
-/Length 2501      
+1678 0 obj <<
+/Length 2294      
 /Filter /FlateDecode
 >>
 stream
-xڵY[�۸~ϯ�GsE���-��`� @�ه�K
�+ˮ.�����u�(So�}�G�����;�wwo~x��������ƙ�*�P*~
t�с�6�����]8�G�e�MHݺ
-�
��b:���9�����fY�i���L0�y�U��F���f�*��%N{����-4�8W�����Ze1-�MCo�`�I١��#v�������)L2�"��Fi�����d\f2Q�
6i�W=�j�,8A�������e�s;=
��?�
�V
	����'��EYO3�y���}-�l�L�	�_K�V�{��8�z�K�,�C
�/�N��J
�t�o���s�-�S�l�,Vڥ7[m��	
���� ��F�g��|:hMޣ��3Wsw�����4�Tu*�f�QcR�B[
:�?��+~F�ʴ�
-�1t��M�	ݖ���y�U���%��Qa���c�T
�IĿ�uu8m�0��bey
F*��b�a[F�Z����
�e�ݮx�3e�dq��i�}�o8��ʀ�c�S�{>����
�6����
a�$qZ�0>,D6�a�e��O[���!�8_	�
17��]A82NeY,��˟ˮ�1q5�4�Yq3��l"{+�&V9�
�_��
-�떧��fx�1^�����j9��)'۳�DG=���
�
���c�[ Ի(j����[h�m�Շ�)���_&���#ǡya
�
�>Z
-X��4��~ w��oFåW7B���֌;�5Yxs� ���_.��w����c�EOtP%Ơ��xg�����.w�
��r��L�Ƹ����.�
��-�c�]�c�>
��;P��1��U��
ǜ7
-.x@����1g`�eΈ$*���jd���t	��Q��w=�����Ow&�͏%���]$J�r�.g���<&��i�~�9�p�0/���	K��?cJ�����_QM D0�-�|��N�p�G������.���0볓yI�����TRFF��g��
�"?C݇L�Q�e
��]!z��.����?�Ϗ��MhľY_j�
(�]8/����J��/��7~��oۇ�H�G�)'2��:'���l ̕��!�z^�ʛ=ɮe�	�Kf�/�� 1���o�] ���;�B�����0o8��+�MC��_�����
5"l:h�k!xZY-Q:6K�A�Xʟ,����S�D�&'
-�
-�D�Da-$�B B�D�`�)�l�R�y�v�;�C�~
-�D�k�$J���үa
e��L&��c���6*��
'Ig�T�f2˞[3T��fy<r'T�Q����(�C�<�"��B(�Q@��9Wu
�d��%YύX�<�u��B�)�38��,ҋ�%�ĂR-B����`#&Җ
�(0�F�
-�[�
��Y�72Y[u�q�V��Cu1hP�x��(��T�$��s�I� �����!�uYT;�&��#�&p��&A�{�M��Jȥ��
FK);2��,”�1)3�{��0���rC�J%�^ȱ�#��
s8
~�9ņ��Q�42��/`���^D9�/DX��đcՏr�X��l��/�}��jbUy�>s��E_�JZ�+�*�I�j��0�ˌ���L�
A���t�B���tQ�1����aR�ʛl֣�/���q�J����;����|��'J�5?��m4q5�̲�_tU�0�V,Tͮ-��R�h���]���x�G�#�YG�͍�n7���t2��N��'�e�D�����3C�9rs�I�u�?����Vt�Sa��
-3��x+�;6Yj�B`���t�kR�У���sNi�X�7ƶ���4���ᆇr���,WA׶�"����,/8��ͥ�Cݙ���
@�t�H���O��
-
P�}�B�%�v(e�1�W��a�[�\�'�
���ָ��9�
�٘�|j�Wr
-���)���V�,�c�j�d
-?�O��Dž�Y�<�*�#��`?4x".=
�@��Ř��̶M��z�y�”�b�IP���w��uY�r��Y[D�¬㾽�aP�ܚ���N�2��"&��_

��_
�����a�/�0�2��O�����rM�)w%�Bʳ���w���JC�ʈ��c�Z�d/n�x[�����T�����e��ˊ�i�=�;I�e�i]����ʖ�}���I
�L⃃���
��T�y�q�x������������_I�H��䆹CLl_�@?��`�!BM+�ubPW�\f{���U�_�V�!6�8��5�hu�;�{��C�j��^�X��8�ƫ�
�^H��Փ��'�>��q6�3�
�y��F�ҍ��@|�̵�Y�,e�<��\�2���k��
��Y��(�WP9����r�&>8ל�S�)�[WC^wR��1�FIl>�t�yd��I��P�"(�Á���+rY�R&�V���3�v|�k1��
�)~�x�
i�7.i���J�sߣ��f�'/u՝
,/^������� [...]
+x��Mo���~E�2�����=���W
��
��
�l%�>;I�x���w�CR�L�z�zpB���|�ۻ��(��
������4��q
O��*����Z��� /��(���;��z��=d�Y����C�v��m[�@�JV�
�V�{�8
K���ϰ>���B���7���i�)���O#M���Ѵ��)��,�8Y���?8���?�{�
R�A�	a�d�4��Q �VGX�\u��i�"C��#•xҦ<�>��<������=�B�m��vp����
���Y����
�|�"�s\��m�1Di��Y˵��
$$�~��?Q���L�����s¿Yj��jꛥ�L�59�{v
t��a�3��?+O�1L3
�~�|�VFI!
����������g�p[/�t!�mBW?�S.Bi
�R&�yJޮ�O��6�$[,���Dž��G�:�8
HšDCth��j�Z��Wo����*�q�'U�������������ȃP!�(��$ݖ�5S�e� s]�*}p.�=��
�s���$k�����ߠsh���G� ��V�1l�stS\��v

~�勳���e�H
B)PC��#�zA��Dp�oW��Я<�{R^�
+"�4��-
h��ѻ�9��|�C
H=3�����[Y���T����K
�
��Q� "� Q�Q׼� o��y�ji3�nÙ������
��
��W#�e6J��0@��#2
+Q!є��eM	Ⱥ��GUAn����R�nd��!��G���;�_��T���H^���E�(y��N�b��pG¥�#�Q����!�zP�C���+����ūov��8x���x� wK7R^tw�0���!��!��H�,��0z���c0�G�v(G�Y��$R���Dh���&�#iܛU��u���',~���G�k��̇�;y����`|m9�
K#T�;
��,��'�Y?���<�҉�|)h�{��=�AB��
��߿π�㝡?.}�2Q�y�
�6u�Ta�2k�D��kԡ�?�1E��|�Qb
�
�"�lN0ݓ�\�
��aY���A��- !4��<C.��]V�i��Ś�z$�Gy�/��h�~iT�s���.��B
+�U{��-T�5��R��"�Q˨�iI��v��r9+c�����,�}���>ބ@q�IX��(�|&Bz��)��z
+e�h�񩴤f�^��V�ι�r�^���Wd����)�6T��
��Xʨ��F��z�P�勘�|�z��P�:��ցt�Q]"�����d���M,KZ
+d\�zhi�PE
(��W���P�/��5J	�W#�xC���u���A��S���d��>!2j� �c�
���DyA0�����QߪL�'1:7{o�i�s��ت����4D��8��3
;���F�{:F�[~�v����5fa�ɓ0^�[ȸ&�˗�!kc5
��!
K\�f%q$f2E�TYk^�,3��%���֜զ.�צ4�6(l"���.�b���m�0�.Fa,
m�[�z�2%�p�=ƨgЀL�yK�:���WZ� �p�����x��u���
I	qI0����G���7�5ZI,�e����o
+b�L�M
�B�vq�u\
�ڇ�
��
����4�Q��C9��>��q	�X����c���5^�YS��(g_D��*��P{]�WB0�l��lT����^Qf��&=��4���/!
��
аM��
�V��]��
�7FM�[���rB�i��V��0������& ��n��&!z�ͪ�-1�n�q(�dC<:�z�/��MIj\�������ڣ��|�9�"	���&sZ�|��Q04�[z��G�C����TK�Y/*'F�����a�D��X
����7��
�X���!xu��%�dدw
[���o��5X��b���3;�_7}
+.Y�NfR;�F�?I�=��X
+�J�0�-ՂnB2����1��cO'�*���q�28E�XPt6����= ;$_��<"��S�+�^�Y��]���t�&z��Q�
%X�W���uG���tR��ı�&WUE�t��0t/��0�3g5#Ž�9�N��؁O\w����OVͱ3Z�5E�R��"b���;b�^��y��j�n6���Es����iD&��G�!|�8F���F�s}�'��S�s���ڂ�`��&�q��!��
+#�\�ģ��#�a��p3C}~?�/i�II+fNJZK
<4��|����8�ZN�3
+�+�C*�����s�Y�J�[X���i��)F^�$@-� ��N
�k����݇_G[�endstream
 endobj
-1686 0 obj <<
+1677 0 obj <<
 /Type /Page
-/Contents 1687 0 R
-/Resources 1685 0 R
+/Contents 1678 0 R
+/Resources 1676 0 R
 /MediaBox [0 0 612 792]
-/Parent 1692 0 R
+/Parent 1683 0 R
 >> endobj
-1688 0 obj <<
-/D [1686 0 R /XYZ 72 720 null]
+1679 0 obj <<
+/D [1677 0 R /XYZ 72 720 null]
 >> endobj
 274 0 obj <<
-/D [1686 0 R /XYZ 72 720 null]
+/D [1677 0 R /XYZ 72 720 null]
 >> endobj
-1689 0 obj <<
-/D [1686 0 R /XYZ 72 671.714 null]
+1680 0 obj <<
+/D [1677 0 R /XYZ 72 671.745 null]
 >> endobj
-1690 0 obj <<
-/D [1686 0 R /XYZ 72 546.144 null]
+1681 0 obj <<
+/D [1677 0 R /XYZ 72 531.761 null]
 >> endobj
-1691 0 obj <<
-/D [1686 0 R /XYZ 72 478.356 null]
+1682 0 obj <<
+/D [1677 0 R /XYZ 72 464.005 null]
+>> endobj
+1676 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
+1686 0 obj <<
+/Length 2471      
+/Filter /FlateDecode
+>>
+stream
+x��ZK��6��W��1|��v�K	��^�
6��C��v�m�������[E)Ңd{�sX`�E�*��zR?\M��I=��u=���Z9��a\�h�v��ճ빘���y5��w?�6yA4�JJ&j�^�����y%M=��;����1^�G;��ϟp�o���7~	!M�p$��r���1zݓ�s�kZK/|�׵�.���v����lf����Q���gܻE*-���;���W�QZ�ԁ�
L��t<�q����&R ��k5l�v�r�
̀�a�i�8,W�i%4��xI
jA�zX
�a���(�3+5���Tj��t�[��[�	|�ĵA����!��lqOk9����$;��y�
������?��
+�
+�q����V�i$Sٖ�C �����ς@,BD�@��Ԃ�m"�i�DV6LD�`�r`o�٭ߊ�Na�՟���|״b�����3�k��S��
�s����5���W��-�����s��G�D`��`� H�dX�;���=��m
+$��a
,���
�$���>1��T��'�����O|�Al�&k
gMEdy�T --!
!|2���+'��D:�D�EH `[�@0�ih��ᡪ��w�!,/;8�<���߭�i�J
+p�	��$�
�
+r�G�+�9'�Z��y�j["x�u��#8g�Q~
+���(�z�9	��
����Ÿ�"v����ם
ƶ��zJ��;?��Mޟ������͝w�	��)�L��:
�
�$�i�H⊘�a
+/�\�3s�`�Ҫ+
]��j3���l(p���j�)���Ic(��J�Gt;���2��
�
.���l���Ѐ=(^3+l��
��L�o��r
�����N���a'W�����,�!��`�>�x$�OglF�6y/�\#�w~�Ʌw�+p���<m�j��M
�K��CLm���'���Wػw����mބ�RM0_�����;?�la�e
+ߏW{�N at D3��~�Qm������*ݶ�u���B��0��..�cܨ-l���|Ӷ@w�ڟ�/}$�!���e�e�����9ɤ#��O���R$�=�8p����@~��Rg��u,Ԋ~�b�W
+���s!���r�H7� 
+�&'�OM�L�d�J�S�%$�U�X������4g
���
��fT�LS�Q����͛�Ԅ�I$R���_�}u����b=��a��Q2�Y
��O7'Ō��ʵ��L�]��
;c���4T8k
+�|ԯ/�� `�v�
M�]�瑱<�z e�Wy������R��KKu�����rL
��6�����N�
�(��E,�3�k�6�?n�RKld�
cԈk����&7��%��Ɯ��կ�א��إ4�]��q�|�AM��k��1�
��Dwq�$$5+�?J�SȖq������
]7���e�5��ѵ-��O�~
+�
x>|�f�0�XL-6�o�$Ev������v�
�(�}#�����w��51tV�!U^���2����֝2u�)��
������i;�V��NuM�Վ�ʙ�b��G �搃QR}�}����HM��*�4w�T�o��ZJ�R�dl�C@��׽Ӑ�i8�-���U����H���� /��̶�MY��
qAO�9TL#�h*n[Ci�6'7��L��M=e)�3�g�m�W�� 2��A�Ҵy�%� _pQ�/SQsE�e2��.�~�+Zw��\��O�v9�C薠2�kkX��QV�XG��g��� }��䓫
i��y��
ܥ=�!0Z�
Q(���
Hz����8��~���;N�6�)���Y�.n�E�ɏW��J@���o@��?,
&'o���r§?O8Ӷ���5gR�Ӈ�a-����~���_�ThU	��9�aE�o���!,�aR
̥���
դQ�0�T
+2&O�?}J�b+_֐9�a��s$@4��'��T(�(����k�9���-���AeMj�F�Y�4�>���
.s���˷ ;�ژ�=�w��^�
��š-S1G-	P1�����(��%	B��Ú�x2�h�u�:��p��/�g�
��[�d%�L�ؾ��_�b���E0Zs;���Q~E;�K
�m�L��aد$�}�-
o,�i�

!�^]Zu��
�$G�V�q*����Ii�gi�CX�0C�+�\���D1 ��p�TG#�(Fj������
�����Xr����&��+��N����_>��L����6�,����i:��]p
+P��
}�
5F�MD�`��"ƨO0F���o����E at Q~�p{[�]E�j(&oH�h�&4�
&�]1{���omT��h��y�MW(ո�*��nj�@.:[ṭ
-@$,-�Xƣ�
}����?�L�g�@��K�_���N���l.6'r���-���c�����y����^�f��{�^B	N�v��Ķ`0z�uҗr�FK
��9�_s��
-cLչJ��H�f�,}4X!��i�c�F�C6�5m�5m�5m�V�F��7��b���?е���?7��endstream
+endobj
 1685 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F76 747 0 R /F78 924 0 R >>
+/Type /Page
+/Contents 1686 0 R
+/Resources 1684 0 R
+/MediaBox [0 0 612 792]
+/Parent 1683 0 R
+>> endobj
+1687 0 obj <<
+/D [1685 0 R /XYZ 72 720 null]
+>> endobj
+1688 0 obj <<
+/D [1685 0 R /XYZ 72 700.334 null]
+>> endobj
+1684 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1695 0 obj <<
-/Length 2671      
+1691 0 obj <<
+/Length 1654      
 /Filter /FlateDecode
 >>
 stream
-x��ZI�������!
-�jj��`.� H�d`����3%��۝_��Tq�J�:����b��ի�|o������$](%�8^�o�^�2����M��S�T���LG�,s;�:U����������n�Xi-P����j��y
pCOTt
G]h�5��ɤrBF�\�Y�L'`������
-����q
m
�ѹK�E�|�� �i��vb��:���9�z`3���E�8�M��+�ӽ���*��MD��nKy��qW�v��%��u�4
MS���be�ژ�JYam�b ��
-ؠ"�it��Dfo���!
-��џ�k�V��Q���U��Q��Lݔ�Ӻz��&�V��
 �eFT�j%C�U"�^P�%B�ڽ
�YsEK:il�mQA�G��)%I�%3{١-��Q����X�jp��xܑ"��^?�{ok��aGZ�^�S�֍#�t\_��+�jF^F�OE�f��}���s6l	i
:�g�P�B���z��.�I^�=���z�x�H��K�?3���U_
-��ک���߮�J�F�Q݉IY>�8
���@.�
�O3e/2�S�1��\�6�g�B��q:�߮ޣ�Od
-���T��ܞu
���f���hcy����Z
�x�bM+c�ΔS5�o�t�TK�oKVօ� q�祣���
ݩĹ-/@�ܶ��~[�t���}Me���]@@(����z�#�=��
����U�a޶p�6t�QB�
9�Q
��A]���ۂթ#-���𷭎��,�� W��J�u=d��ra������/4�
^�Q��BsH��`� p�|��m��>��v���.x.������W���"�:��S>i�L̨���B<u��
tPy��ž;oP��Ir��x���Ze����풾O��Q̡����
�,<|	y�z��


-i7\CaPb��iz�z;�B��
[`QR�>7@�e� u���u��cäYB��Q#��Y���MC�9;��p�E�.3�'G�����4��Ou��䊠�Mlݠ+�~T�<pڢ9bmOz���i��K
�Ѵed
��
��3s�@�����Y��K������ȐҶh
�f���#�ѩZ��U�yܿ����nE~-��!@s>���pC��~7��4^L�͹f
	�<��r at xMH��V�D�οǨ�
-�
�J�Tt[�vwkՋa�el�[�:�)�~�
-�ʶ�6����C��
dx���p7�[��8� k�R��/��I&)&<p�I�%e(�_�C�c���0�7�g��:�L��'\����q�3?��N�(l��'��V�
*��+-���t)�XObP�M����\�5#��\^����r�Dꑛ$"|���_��� k~3�j���зE��6�F1��f05q�b����E^��%B�e�	��"Z���G�Qޛ�=�LBƲ�hTȘ�8����Ӟ�Oȏt$�=Xc#����n����1NѠ�<֛�`�HBݤo>��|
JC�:�O�n��́�%4F�ܘ��C��K�
-�ϋ󉋎��v��-7*���Ę�oD�������h�`�>
-�>9��
�
���:]1
-K6$(xEh��c�V��M4O�þ� �
�
ʝ��ʝ<��׀kzg��%�>�+��W-��Xe\�b�/�:�`t�OKRu���
t�C���RmsR�#��	�����->�U��>��C^R�'�:-�:�� ��ް���$ɬQ��R���;W���`=�P%B]<�D y\J“�F2�����ҩ>�4Ԋc)��Z�"O����
-�[�Ӆ�>T������R�?h��ш���������G�dEo�˻�)%V©�GjP�L��xF�K	Ĺ�C�@�0W �i�Ÿ�[8$�8���o�����������V}�r^̛
y{$FNG�ŘF4��A�ؿ��?�p��PAr��U�i,r9��WC�R�cl�$)r��R�|t})�:�� ��N�
��P(����N�0nZq�U��L�(�w��޼����\�x'�
|�1~���;@��{���|��@k剭&ԾÏP&���?RB����B� �	$�+8�(��9:ϧz�ٰM�,�yʷ*`I������/2����
��M6rtv�U�]�|��\
�Ґ�a?(����M^_���q�zv�˜ �LW�*�B��Ÿ�K
�l��gZ��2÷ل��쌙���U��\�;A+��x�
�"
>��8 �H=����.% :���ʷR��r#^�}0_ǐ����m��n��M��w 黐�#K~����1p�� bd��
����i
ixH�� [...]
-��ܔ^�v�j��I�I���������(��/���y�SC��������=l�e�
-ɣ����Lڀ�t������]�J�Rڰ�+�y��Kl at X��]w�ӷ:~�l��07t��~�
+��z����=D�F���a� )�c?P�gk͵
�ԍ��\̴n�
|��ꞿW��/8��=��������{�_孢|W�ϑ�
�'�endstream
+x��X�o�6~�_��>�@��D���h���������ȉ�8N#�Y���x<JT��X�=
�
I$�w��wwԋ���W�B0gLq�(D�0kT�p˸�W'��T�gp��Jɺ�M�-����
+���:
F/�ֿnO�o	�|�`Ԡ(
�����?\xa�0�=�B�szZ�qA�6Qc��S��el�
��R�����	&���5k�FS�?yy8��(��̘���b��|�|�ȋ�	/�L8Ӎ-��3�\����YKO�w�_zQU�U%�^x(�x�߱6�s�j]x�
�jd�0�?1�
�� '�eQU�xm�J1ck���� �X�uc�I�0�v�
�,��8�T��q�HVsUŬjp�R'�̀ʚļ�Q��dQ�>N�z�6RLYQ
s��ᙝ4 (i���N�Ii��� �Ü��J6M)`GB@��ט�
my�9iNN�H&
��U��P:�|% z
�-����Rw��|#Z�6�j&z��Q�f��WIe
8� Ǖ3����Z=Ɉ ��Q@���kLI��2"�~����ͽb
n5�N�Mұ�25k�9e[z��"���r2�rH�"<��-5���R��i
2?M�
��_���~�"�vW3((]�Ɨ�8LB|
H��Th�u�[*��%25J�lZ��_�V�?6DHR	oG�˲[▰ۖP����ƝH����Q�:�ni�
aސԠ_"� �E�\��z�^�P�O+���? 4�F���y����b[�-�z
0��/i9������@���;��g4t�.5�o�@��劸�p�q�N�SX��
|����<K΃1	N�9�^l�mI�e��Ú��j���+-:�I
�VE`!�,�o���,��ۿ�×qc���7�����83i䗃������Sل����:[R-S}M}`��nZ6�XC�.cn���F�#[�cz9�V|B�y�\
.G�|˴*/;��1�ux�	t���!�
=P����XW�5�~K�܌i<�졥7bT�r`0�Z
����i����L�����.	�X�	�8���	�Sz�
N[�*Z /��� X%�§
�c.���t\e쇞�'���
Mw�)�YnGl\&��Rx�yR�4xjH�ȁݴLb(Uf<�@�t��
�.z�8�_�uZ��P~���:��{�
�$	��piG������5'b���-E��E"<�Ah�D4�Q�L�j=��d��$�/�7�cy��uf�ڒ�Ĵ�������cIZĂ��ƥ��9��fp�?�\���`�
��嫩��qh�,�Jl��Ā��1����� �E���Z�kq��
��n9ho�W�6��
I�iG_�2�ad�Щ�֡r�p

��_�� ���	D`8ˎ
��,!L�~V�O�u�M�zշəî�"]�}�

q���2*h8-;��'��/Fn�J<o7I��bg��l/x
9��nt��?dL
x�]��_Boo��c�����]P=y��=�����;�q"9w?6?S�.Q�X@��H�m��,4AB��{_��	���
2:v/���p�A_�5s��p�{�bCb���D��~�
&�g1�#�M�h�/��͆T<N� ��p�Q������1]��
�a�
��E��$�oz7(��T�V���	���!hi��������
�i\_B��90��ӗg���u��4�}endstream
 endobj
-1694 0 obj <<
+1690 0 obj <<
 /Type /Page
-/Contents 1695 0 R
-/Resources 1693 0 R
+/Contents 1691 0 R
+/Resources 1689 0 R
 /MediaBox [0 0 612 792]
-/Parent 1692 0 R
+/Parent 1683 0 R
+/Annots [ 1698 0 R ]
+>> endobj
+1698 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [176.347 359.436 362.687 372.379]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
+>> endobj
+1692 0 obj <<
+/D [1690 0 R /XYZ 72 720 null]
 >> endobj
 1696 0 obj <<
-/D [1694 0 R /XYZ 72 720 null]
+/D [1690 0 R /XYZ 72 442.298 null]
 >> endobj
 1697 0 obj <<
-/D [1694 0 R /XYZ 72 697.999 null]
+/D [1690 0 R /XYZ 72 377.532 null]
 >> endobj
-1693 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F35 1440 0 R /F48 554 0 R /F52 1472 0 R /F32 668 0 R >>
+1689 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F53 1695 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1700 0 obj <<
-/Length 2081      
+1701 0 obj <<
+/Length 2294      
 /Filter /FlateDecode
 >>
 stream
-x��YY��~�_�yP�
/I�?؆
� r� �������#���1;�_�:H
=ڙ���LST�U,~�U�˛����R)Q���f�t�H�e.��&�?'ﴒ�_n�A9�Q.ӥ$��U�(�Zi���f�Ȅ�
��J%^��K͒:I�LJ��V�̨���+�'݁��Χf���&�
��w
iR��K�Q��%��=
\j��6�߲�R��=�ʶ,��Ie�f�VqfwF�ᛨ��q
(�J�e`7�u�
-�e˵��ڌ��G�swy�Z璮�O��

�4ٜO۪�Pש<�\
�I�Z��&?�6�k�z
�ό	
�Z���Z�`��
C"Ռ�s�rx�enWk�!�R��mu*q���.��D�?���W�%��Uy
?Z$O��]{�M����"7S7�1:��S���;��8-�̾n��p�v��
<nm�@�b�h�i�c��
YW���Jj��z�����r0r�~�5��B��
zNd�F�N�d�P��$��׏Á)[p�{rNFg
G��߄�
 �d
��S�x~�R��$:X�L�iAZ�Y|}�P�O ������@(���x�����.��h���ЦX
@1V��xX�]��_j
�Z�}��i�q��
-��4���O2@}L�'ڒ\�
�
7>g����p.F��jKF��FX��
';�Y�T(�y�q�EW�[gBf)ڝ:��ߟ(Xk�J?�b�~�N>{�d�T_�^���Q2E�	�>�>86�x��[FO"O8��iΰ�v3>E�y0�'���G'��S���X���$k0G^��e�z�8#D�
V�`�U@
�"��KS���oꂰ%�W�%?�-@�QA����aF���
Tb
 ������~f1���wkm4�6��㠯]���m"��$s���SB�
j:�$`��C�`�o
V�m|͒�^���
-%2 �������HJW���3)|��I�\h7�� [U$[9��P��F
� ��C��	�K\����̶
��̿�i�k\���]����j��~&��@���K	@�� 
-r
9��h�Ea�U���熂�xWn��uk��<2	��x�K8*�
-��gC_��3'�|�3*�H%�
512P�{��rEhf"x
*2���Q6� ����U���]��1Pa6Mw��w|n��~ '�#T}���q�MK��c���lҔy��6�����Y3
-TTr���HM֦o٨ ��&�d�o>T��p�Gj�!�3̴P�'��~8�����p���J�~�E�J�
�Mلr+���"I����r�ej
-��aP�c:���ޏ��|�}hT��[�:~D���mw�3%vN��MڟȰ#��0y$6�Dph��\
��
-��-M��Kl��!�O��
-c��Gٺ	�mm��NN�:^��7�C��cdWpb� �&�,�c��wN��3�5D�r�ly-�ߐ�
27�ȸ���|�u��ʁ�s=	ƟV�c��

+Cj�����{W�9EF���2gj=��
<琺�>�l&)C��@�Rb'��e욃)���`
˰C�C����|��4a���l%`b�d�h<H���7�`6�&������U])�N	�Z�ğc�/܍��r��ϝ
�����Qm���i�z��C���1x���u�`�Y>vV� EaI
Lɨ|�í���v�&�W�ЌC�_]M^Cq��|�7!��V�x���"����^�#�����b7	�<��?T�9��.5S��o�ڋ�
������nI�nKMw��tL3m$��l{��l�f
tBex}^��&��fv��_�
��S>�BNB��ŀ���+0
ݚ._�B��s|nf6# 9ƿ?7�?a]��B���XVԡ��
�:��ԇsB�W�����(��x�O@���ט����K�����,b�k�V~\—�NJ:��_M
������ձ�	�}u��l�����t�@��[:���+l������E0C
|�5<��@��
-�h���o�����jt��}A��`O�����t�
ORr1��_��D����L}����X[�U,Fh�����z3
-�@�1s����>�7�٥�e���C ���	e�:���ȴ����|<I�endstream
+x��Mo���~E�2�����=���W
��
��
�l%�>;I�x���w�CR�L�z�zpB���|�ۻ��(��
������4��q
O��*����^��� /��(���;��z��=d�Y����C�v��m[�@�JV�
�V�{�8
K���ϰ>���B���7���i�)���O#M���Ѵ��)��,�8Y���?8���?�{�
R�A�	a�d�4��Q �VGX�\u��i�"C��#•xҦ<�>��<������=�B�m��vp����
���Y����
�|�"�s\��m�1Di��Y˵��
$$�~��?Q���L�����s¿Yj��jꛥ�L�59�{v
t��a�3��?+O�1L3
�~�|�VFI!
����������g�p[/�t!�mBW?�S.Bi
�R&�yJޮ�O��6�$[,���Dž��G�:�8
HšDCth��j�Z��Wo����*�q�'U�������������ȃP!�(��$ݖ�5S�e� s]�*}p.�=��
�s���$k�����ߠsh���G� ��V�1l�stS\��v

~�勳���e�H
B)PC��#�zA��Dp�oW��Я<�{R^�
+"�4��-
h��ѻ�9��|�C
H=3�����[Y���T����K
�
��Q� "� Q�Q׼� o��y�ji3�nÙ������
��
��W#�e6J��0@��#2
+Q!є��eM	Ⱥ��GUAn����R�nd��!��G���;�_��T���H^���E�(y��N�b��pG¥�#�Q����!�zP�C���+����ūov��8x���x� wK7R^tw�0���!��!��H�,��0z���c0�G�v(G�Y��$R���Dh���&�#iܛU��u���',~���G�k��̇�;y����`|m9�
K#T�;
��,��'�Y?���<�҉�|)h�{��=�AB��
��߿π�㝡?.}�2Q�y�
�6u�Ta�2k�D��kԡ�?�1E��|�Qb
�
�"�lN0ݓ�\�
��aY���A��- !4��<C.��]V�i��Ś�z$�Gy�/��h�~iT�s���.��B
+�U{��-T�5��R��"�Q˨�iI��v��r9+c�����,�}���>ބ@q�IX��(�|&Bz��)��z
+e�h�񩴤f�^��V�ι�r�^���Wd����)�6T��
��Xʨ��F��z�P�勘�|�z��P�:��ցt�Q]"�����d���M,KZ
+d\�zhi�PE
(��W���P�/��5J	�W#�xC���u���A��S���d��>!2j� �c�
���DyA0�����QߪL�'1:7{o�i�s��ت����4D��8��3
;���F�{:F�[~�v����5fa�ɓ0^�[ȸ&�˗�!kc5
��!
K\�f%q$f2E�TYk^�,3��%���֜զ.�צ4�6(l"���.�b���m�0�.Fa,
m�[�z�2%�p�=ƨgЀL�yK�:���WZ� �p�����x��u���
I	qI0����G���7�5ZI,�e����o
+b�L�M
�B�vq�u\
�ڇ�
��
����4�Q��C9��>��q	�X����c���5^�YS��(g_D��*��P{]�WB0�l��lT����^Qf��&=��4���/!
��
аM��
�V��]��
�7FM�[���rB�i��V��0������& ��n��&!z�ͪ�-1�n�q(�dC<:�z�/��MIj\�������ڣ��|�9�"	���&sZ�|��Q04�[z��G�C����TK�Y/*'F�����a�D��X
����7��
�X���!xu��%�dدw
[���o��5X��b���3;�_7}
+.Y�NfR;�F�?I�=��X
+�J�0�-ՂnB2����1��cO'�*���q�28E�XPt6����= ;$_��<"��S�+�^�Y��]���t�&z��Q�
%X�W���uG���tR��ı�&WUE�t��0t/��0�3g5#Ž�9�N��؁O\w����OVͱ3Z�5E�R��"b���;b�^��y��j�n6���Es����iD&��G�!|�8F���F�s}�'��S�s���ڂ�`��&�q��!��
+#�\�ģ��#�a��p3C}~?�/i�II+fNJZK
<4��|����8�ZN�3
+�+�C*�����s�Y�J�[X���i��)F^�$@-� ��N
�[����݇�s[�endstream
 endobj
-1699 0 obj <<
+1700 0 obj <<
 /Type /Page
-/Contents 1700 0 R
-/Resources 1698 0 R
+/Contents 1701 0 R
+/Resources 1699 0 R
 /MediaBox [0 0 612 792]
-/Parent 1692 0 R
-/Annots [ 1706 0 R 1707 0 R 1708 0 R ]
+/Parent 1683 0 R
 >> endobj
-1706 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 406.669 158.19 419.289]
-/Subtype /Link
-/A << /S /GoTo /D (section.4.1) >>
+1702 0 obj <<
+/D [1700 0 R /XYZ 72 720 null]
 >> endobj
-1707 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 382.261 158.19 394.88]
-/Subtype /Link
-/A << /S /GoTo /D (section.4.2) >>
+278 0 obj <<
+/D [1700 0 R /XYZ 72 720 null]
 >> endobj
-1708 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 357.852 167.294 370.472]
-/Subtype /Link
-/A << /S /GoTo /D (subsection.3.1.2) >>
+1703 0 obj <<
+/D [1700 0 R /XYZ 72 671.745 null]
 >> endobj
-1701 0 obj <<
-/D [1699 0 R /XYZ 72 720 null]
+1704 0 obj <<
+/D [1700 0 R /XYZ 72 531.761 null]
 >> endobj
 1705 0 obj <<
-/D [1699 0 R /XYZ 72 424.436 null]
+/D [1700 0 R /XYZ 72 464.005 null]
+>> endobj
+1699 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+1708 0 obj <<
+/Length 2473      
+/Filter /FlateDecode
+>>
+stream
+x��ZK��6��W��1|��v�K	��^�
6��C��v�m�������[E)Ңd{�sX`�E�*��zR?\M��I=��u=���Z9��a\�h�v��ճ빘���y5��w?�6yA4�JJ&j�^�����y%M=��;����1^�G;��ϟp�o���7~	!M�p$��r���1zݓ�s�kZK/|�׵�.���v����lf����Q���gܻE*-���;���W�QZ�ԁ�
L��t<�q����&R ��k5l�v�r�
̀�a�i�8,W�i%4��xI
jA�zX
�a���(�3+5���Tj��t�[��[�	|�ĵA����!��lqOk9����$;��y�
������?��
+�
+�q����V�i$Sٖ�C �����ς@,BD�@��Ԃ�m"�i�DV6LD�`�r`o�٭ߊ�Na�՟���|״b�����3�k��S��
�s����5���W��-�����s��G�D`��`� H�dX�;���=��m
+$��a
,���
�$���>1��T��'�����O|�Al�&k
gMEdy�T --!
!|2���+'��D:�D�EH `[�@0�ih��ᡪ��w�!,/;8�<���߭�i�J
+p�	��$�
�
+r�G�+�9'�Z��y�j["x�u��#8g�Q~
+���(�z�9	��
����Ÿ�"v����ם
ƶ��zJ��;?��Mޟ������͝w�	��)�L��:
�
�$�i�H⊘�a
+/�\�3s�`�Ҫ+
]��j3���l(p���j�)���Ic(��J�Gt;���2��
�
.���l���Ѐ=(^3+l��
��L�o��r
�����N���a'W�����,�!��`�>�x$�OglF�6y/�\#�w~�Ʌw�+p���<m�j��M
�K��CLm���'���Wػw����mބ�RM0_�����;?�la�e
+ߏW{�N at D3��~�Qm������*ݶ�u���B��0��..�cܨ-l���|Ӷ@w�ڟ�/}$�!���e�e�����9ɤ#��O���R$�=�8p����@~��Rg��u,Ԋ~�b�W
+���s!���r�H7� 
+�&'�OM�L�d�J�S�%$�U�X������4g
���
��fT�LS�Q����͛�Ԅ�I$R���_�}u����b=��a��Q2�Y
��O7'Ō��ʵ��L�]��
;c���4T8k
+�|ԯ/�� `�v�
M�]�瑱<�z e�Wy������R��KKu�����rL
��6�����N�
�(��E,�3�k�6�?n�RKld�
cԈk����&7��%��Ɯ��կ�א��إ4�]��q�|�AM��k��1�
��Dwq�$$5+�?J�SȖq������
]7���e�5��ѵ-��O�~
+�
x>|�f�0�XL-6�o�$Ev������v�
�(�}#�����w��51tV�!U^���2����֝2u�)��
������i;�V��NuM�Վ�ʙ�b��G �搃QR}�}����HM��*�4w�T�o��ZJ�R�dl�C@��׽Ӑ�i8�-���U����H���� /��̶�MY��
qAO�9TL#�h*n[Ci�6'7��L��M=e)�3�g�m�W�� 2��A�Ҵy�%� _pQ�/SQsE�e2��.�~�+Zw��\��O�v9�C薠2�kkX��QV�XG��g��� }��䓫
i��y��
ܥ=�!0Z�
Q(���
Hz����8��~���;N�6�)���Y�.n�E�ɏW��J@���o@��?,
&'o���r§?O8Ӷ���5gR�Ӈ�a-����~���_�ThU	��9�aE�o���!,�aR
̥���
դQ�0�T
+2&O�?}J�b+_֐9�a��s$@4��'��T(�(����k�9���-���AeMj�F�Y�4�>���
.s���˷ ;�ژ�=�w��^�
��š-S1G-	P1�����(��%	B��Ú�x2�h�u�:��p��/�g�
��[�d%�L�ؾ��_�b���E0Zs;���Q~E;�K
�m�L��aد$�}�-
o,�i�

!�^]Zu��
�$G�V�q*����Ii�gi�CX�0C�+�\���D1 ��p�TG#�(Fj������
�����Xr����&��+��N����_>��L����6�,����i:��]p
+P��
}�
5F�MD�`��"ƨO0F���o����E at Q~�p{[�]E�j(&oH�h�&4�
&�]1{���omT��h��y�MW(ո�*��nj�@.:[ṭ
-@$,-�Xƣ�
}����?�L�g�@��K�_���N���l.6'r���-���c�����y����^�f��{�^B	N�v��Ķ`0z�uҗr�FK
��9�_s��
-cLչJ��H�f�,}4X!��i�c�F�C6�5m�5m�5m�V�Fhɬ�kM�f�uy�j�U!�jendstream
+endobj
+1707 0 obj <<
+/Type /Page
+/Contents 1708 0 R
+/Resources 1706 0 R
+/MediaBox [0 0 612 792]
+/Parent 1683 0 R
 >> endobj
 1709 0 obj <<
-/D [1699 0 R /XYZ 72 322.277 null]
+/D [1707 0 R /XYZ 72 720 null]
 >> endobj
-1698 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F35 1440 0 R /F48 554 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R >>
+1710 0 obj <<
+/D [1707 0 R /XYZ 72 700.334 null]
+>> endobj
+1706 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1712 0 obj <<
-/Length 2392      
+1713 0 obj <<
+/Length 1655      
 /Filter /FlateDecode
 >>
 stream
-xڵY[s۸~ϯ�������$�ig��Lw���l��fh���J�JR�����
@�
-�����	
 ���o_|��W�Z�W��W��*d)����/��+�	�����o^r&�Q��J��p��
U��‹Y�R� �r���goVk��p̡�G���CӾ[�M�g���z�m����GxN�+�s�~�T.Ju��N�5�s��0f��Nu
�ٵ<�v�)$
�B��8���p�z�m>�4���'�)��n��m�/�|3�zhԝ?��qƿ���T[�͆;�O��pcM�
-�<i��6������\ŸJl'υq�;b�.��[@c�Ǝ�>6�j�⎾ެq��������Za��I:�AK�@�����8m��u�=
Wk�	M�}�1�[vی܆��a
n�[�l[�dw���܁�
-�W`w|�����d��s��v�s
�~�,TtǮ�2'��G�0�X'| ���������N��
�k��*x�7O��phT�i�f�����Q9�RT���ǎ�f&u��Q���{�������:�	
(��&3��-8����ݢ�CW~Ck;%r�
-
d|
(��Q���5���@���

�밅�uX�Ě����k�G%�q��u�O�x���+`b�����̶
�M_o���
@�%f
<�>��}5:M���쌨�t
t/1C
-�Tpc��."sw$L �
�!�Z
�>�;���3�Pʉ�taJv��:+
-[.\�����N���S+H@'�ʀ�"���fŏ
�f-Ȭ�p��.���i9�(�@%����o�wjڥv�s'�W����7
'V�Mb�Yg�4���QA�;�2�i�s	=���N{*7�=<��́�*��m(_5�ȯ2���
,�x�m
�-k�2i���v�c�V��@݄Ia�Z}N��
-�
-��G�����	�j����j���0/NqvH�zr3EX7��(��H�R��j%V���(�j*���gbI9'��:C�>�B�D}&�8-��eƊ`o��K��|Q�6�Ҁ��/�Tc
	^��
����Sop�
��
b2n�uT,
�����x
<h��ufX
��ՔN��}a�8��
-�0�c~��i7�Ӷ~V/�n��w��JO�o5��?�(���ʘ�'�7��N[6Z�Y��T��z�U��=�&�
�b��)��1%+�էb<H�:@0�ź0mG5�%�#�Q
"��l
\�2�;*�
̕���0	l�
��� UxQ�eT.
� 
e�
�o��Z�E$�?����ub�0������
�6�sݾ'��tZ���&d���iCNR\p0���\�A���3�W��~E���K�	��Zc7<s
�6M0^X#�_�b�Ȓ:U-�a����$}��\���c	����~�r�84^�vN��!N��,�����'_=�r:Y�,��o0�&�=�ڵ�ֿq�u*���Pw��
;�&d32���J�
��<aP��&оd�
��V^X]�Cl�1�C��2r;>�a�{�~3�� ˝Ap
�H��d"�zΒ6DvM��B��!�]�
�-ʠ�q�/*���X�~C]�
.���_�S1�o��~�Sܑ
�4T:���
�,�/��w9@�YϐV<��������#,u�/��>Ge
��E�D�J��o�Vo�e1!J@
�m��C
��6��
�<��q����U�b�@e�����,�u�N5�k�p.����M�Lͺ��%0&���D>Oo�

t	8���8���V
C��� �B�"ב.b�$�J�ҙI�D�"��@���13���3�4-��}	AF��_��(��F�a�c�H��&t��L(.�(e,�wO��r.r��T:J�\�Լ���\|`���5
��)��,���ȓS��Cގ��	���ֈ�&��w}=
�v\�K8u�%U�
-(a�'�$!�i�<R��N�}��ڟbI�f���A7qD�8)'���ꄖ�<�d�t�i�E�N4
s���3
�F�� ;D.�4bY�������԰$�ђFfg�f�����'$�w>�{��pم��e��|˃]4�j�nN[�cK8��{VV{^��S��P/�i��@��2�#�@
�H�b���Q���/`!�}�����-�̋���嚖�D�#��JL{����*Z:��:��.�5S�}�`3M����~�E�\.���&�"��/yA���U�݌sw�
[
%C���y�:����s�<0�:�1
��7M�z��
ԗ~JxJ;�\�i�[
�@�K�
-Zr\zsq [...]
�
J�����B�&��sq6��z�1��B��Z3-t�lg��߉� ��M����c���s
�kV:N�K�2~�W��e���Q������/�/�Bj�#endstream
+x��X�o�6~�_��>�@��D���h���������ȉ�8N#�Y���x<JT��X�=
�
I$�w��wwԋ���W�B0gLq�(D�0kT�p˸�W'��T�gp��Jɺ�M�-����
+���:
F/�ֿnO�o	�|�`Ԡ(
�����?\xa�0�=�B�szZ�qA�6Qc��S��el�
��R�����	&���5k�FS�?yy8��(��̘���b��|�|�ȋ�	/�L8Ӎ-��3�\����YKO�w�_zQU�U%�^x(�x�߱6�s�j]x�
�jd�0�?1�
�� '�eQU�xm�J1ck���� �X�uc�I�0�v�
�,��8�T��q�HVsUŬjp�R'�̀ʚļ�Q��dQ�>N�z�6RLYQ
s��ᙝ4 (i���N�Ii��� �Ü��J6M)`GB@��ט�
my�9iNN�H&
��U��P:�|% z
�-����Rw��|#Z�6�j&z��Q�f��WIe
8� Ǖ3����Z=Ɉ ��Q@���kLI��2"�~����ͽb
n5�N�Mұ�25k�9e[z��"���r2�rH�"<��-5���R��i
2?M�
��_���~�"�vW3((]�Ɨ�8LB|
H��Th�u�[*��%25J�lZ��_�V�?6DHR	oG�˲[▰ۖP����ƝH����Q�:�ni�
aސԠ_"� �E�\��z�^�P�O+���? 4�F���y����b[�-�z
0��/i9������@���;��g4t�.5�o�@��劸�p�q�N�SX��
|����<K΃1	N�9�^l�mI�e��Ú��j���+-:�I
�VE`!�,�o���,��ۿ�×qc���7�����83i䗃������Sل����:[R-S}M}`��nZ6�XC�.cn���F�#[�cz9�V|B�y�\
.G�|˴*/;��1�ux�	t���!�
=P����XW�5�~K�܌i<�졥7bT�r`0�Z
����i����L�����.	�X�	�8���	�Sz�
N[�*Z /��� X%�§
�c.���t\e쇞�'���
Mw�)�YnGl\&��Rx�yR�4xjH�ȁݴLb(Uf<�@�t��
�.z�8�_�uZ��P~���:��{�
�$	��piG������5'b���-E��E"<�Ah�D4�Q�L�j=��d��$�/�7�cy��uf�ڒ�Ĵ�������cIZĂ��ƥ��9��fp�?�\���`�
��嫩��qh�,�Jl��Ā��1����� �E���Z�kq��
��n9ho�W�6��
I�iG_�2�ad�Щ�֡r�p

��_�� ���	D`8ˎ
��,!L�~V�O�u�M�zշəî�"]�}�

q���2*h8-;��'��/Fn�J<o7I��bg��l/x
9��nt��?dL
x�]��_Boo��c�����]P=y��=�����;�q"9w?6?S�.Q�X@��H�m��,4AB��{_��	���
2:v/���p�A_�5s��p�{�bCb���D��~�
&�g1�#�M�h�/��͆T<N� ��p�Q������1]��
�a�
��E��$�oz7(��T�V���	���!hi��������
�i\_B��9�*;8}z��p����ޚNendstream
 endobj
-1711 0 obj <<
+1712 0 obj <<
 /Type /Page
-/Contents 1712 0 R
-/Resources 1710 0 R
+/Contents 1713 0 R
+/Resources 1711 0 R
 /MediaBox [0 0 612 792]
-/Parent 1692 0 R
-/Annots [ 1717 0 R 1718 0 R ]
+/Parent 1683 0 R
+/Annots [ 1717 0 R ]
 >> endobj
 1717 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [511.044 342.698 540.996 356.646]
-/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/evil-abs.shtml)>>
->> endobj
-1718 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 1]
-/Rect [126.022 328.252 290.168 342.2]
-/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/evil-abs.shtml)>>
->> endobj
-1713 0 obj <<
-/D [1711 0 R /XYZ 72 720 null]
->> endobj
-278 0 obj <<
-/D [1711 0 R /XYZ 72 720 null]
+/Rect [176.347 359.436 362.687 372.379]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
 1714 0 obj <<
-/D [1711 0 R /XYZ 72 671.714 null]
+/D [1712 0 R /XYZ 72 720 null]
 >> endobj
 1715 0 obj <<
-/D [1711 0 R /XYZ 72 589.481 null]
+/D [1712 0 R /XYZ 72 442.298 null]
 >> endobj
 1716 0 obj <<
-/D [1711 0 R /XYZ 72 465.073 null]
->> endobj
-1719 0 obj <<
-/D [1711 0 R /XYZ 72 217.958 null]
+/D [1712 0 R /XYZ 72 377.532 null]
 >> endobj
-1710 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F78 924 0 R >>
+1711 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F53 1695 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1722 0 obj <<
-/Length 2697      
-/Filter /FlateDecode
->>
-stream
-xڝYI�����WFH�U�ZY4��'�����xq�D��Hd���-ϟ��TqiU��}�VU����{�{����޹����������0�e�y���w�������;��)as�2����W�S�ջ���|u�V~U�7r�ڵ\uo�W�U������>\��#Np�/70����
_����_�"~�U�����>>:�灻8�
��O���~���덇=~��}�����+�Cy>���y6���BC��ڟa��	�����l2!"[��0��v���P۾�j��6
]�.���"y�E��x��y���<<�Tܘ�o���J��%a3X ��L�nW%��
-p��ԟQ�w��֮�c��
�J��Zb�{a�	W�^R��Dn��xW��Gԓ�����
-���J<ۅ;|Ζl	�ЇS����*��ʬP�_H�ӹGAQ�
��!��0TA(
�H��f
��6

�
�
R�~����O��W�lѯA
-ҀQ at g���h�o�#-ϑI�:!36�~���H/��h����A�,�M)�,
Z<ajKP����n�]����-�xd���G�Љ �A�z��m����a����VH
6�%-���
���� ��rV���΄7,����3jLAK>fnȑ�UdB�"*�F��yZ��
M�)
o
���
-���N�Q�����u��*�=$�����-6�F8�g�	{��=����C`�
-Jf�ËM�{{Kx�6���5���*�rV=�Ƀ�o$��@�j2Ik��/x(�T�ѕ
�r������\�ф�%C+L&2�}I|����@ c瞂!6OmWqk���5|6�g5��}�/B�FS�&>���׸O
p�.p�%z�0^�dJ0a�҄͞P��
���m�c�
#��MhP�)ik��Q�OC��f��T��һ�"��+��x����:��`����rZr���d&�Q�Qwh�M��0�;Ρ=
[ԗ��N��!�\ ��)������~�)q^.�����h��{�����-ӳێ����c'7��A�4�����_�zf�
z��a&���ҵ\�V��
*�ݞp�m���H<@<|�����D��XF�
t���e�0����
-��c�����(4�W+I
-����x��xn2*�n ��E�< ���<#@��L�	Rư�*cz&k�@��ߥG���b�<u����eވ�
E�
-t�� Ԁ3I�h)2m�l��򔠮E��w8 �բV��L�
-�)x�˚5����9
�Ȉ���sЍ�f2���o�33#b�[��;�wH]���/I��
I��d<�D�ņ�0�)5p��9�$
|#b�.pg��c�gG:Fn���]�
-8i���` �w�^��	C^r�����y	�� ���axC�C
ɏa�rs��v��TLLy���DZw�
-fGOh6��[5�#r�� '�E&�9Նl�-
-��-���҄�[�����l?Ի��B
-��w%�;�ӊGq��SC�!����q�E��	�@�R�r�2�n�6�g
�'��RYh"�]`k��їHb_�
�Jy��
�N��q��+��_=�q� ��[2'�I������(V\(�U�ۋ
���I�K��ŷ0W'�O0W����("�R�[
{8R6d(�
5c��s<�G�Ѷ'6�
W5��s�81
-�0'�9!)g�7��Zx��ڦ
(R����B�^N���'To��0�ݎ5�n��\��~ܞ�F9Q
�CG~]��Z�H@��k���k�������M	��NH���9Ҽ#&�Jy��%�Z�$!�?�f;���p�e�b
-���ԧ�l
s��p�.��w�p�E;��+��F�A������s
��	���Tf@�.]Z{

d;ȏٶИɦ�q&S$����dU/�E�r�z�!�]=/��= ��=
~ϋ�Q�k;~IR g�
�DᢰSɳJE޴�� �茦�&`��B�z�`���Z����}^h�7��=���c/Ig`��9�����<Uq������
V�l#��]]1$�5�Y���{Z�\E�B�:N��Ku�S�#�%`�W����y?]�׊y9�C'N-Ҕ�������w!p�D?����"Q���mg����cP -����GfDP@`
�2����h�B}
���z�Loq��ȅ�2�+���5ǹ
���6��qҿr{׎\��Oέ:��C�A�
��"BE4��Y���K/ܼ
E����!c,���	��
����C\1�
R�D>���h��4<J�-:�
�g,<�5�j�i���#q����P�8�
-�%�I�]�
��[�.Դ��gq�~��b��а�`:^}��"0�/FߦCT�dDܐ�&
���?����>TL���C�wB�U�$6�R��Z\�PI�����?K�_��&���-�eu
��L
7�P��g8Q`a#Sɯ���
�׌EM��+��G�_ɧrL�abO���ղ�{�g�k�c�y��V��>��C t��o�7��;Z��z�I�&B�1:�S�Eu> ��C�>�<�HIM>�ic<p�>
�JYʲOY���i�f��8u��En�v�`
@t�ofYt|z+q
A3�!8���
!Č����A0T�<=�e���j/�D�#> Q��ܖ����}L���/c&4�Ͷ㷾�jq��?�-ޡ
-)4��A���x�e>���̋���[({endstream
+1720 0 obj <<
+/Length 2036      
+/Filter /FlateDecode
+>>
+stream
+x��YYo7~ϯ0���,��v��@�@� E�@��A�a��lU�
��w�
r�e+p
�@�����
�O��=|��:�-\
ώZq�ֆ�
+F��|�54M�>��E��k��F
Վz	Tg�.�mh�ghS��C;�]�S�aʴ�ˣa��
�\���ם�
+٪�������P�S����t����Ji�+O���άv|T\	&�Q%&��y���+�~ιp��
�M6��
+�u��
�:�;�EBz#y�h(�W*&ZK
� 99u� ��	���`�|�����O�{
T��K|qnXk����Jƥ&�1R-�y��W~��
��� �g8��7~Yߟ���,q���AOktQb
z��N�#��k�*�5�V�c0�G~
�
Lh�����Ӊy9�:��9�[;���!�c�Dӆi���O%߫!lt(9�`�h�V
¼�
DB�+� %6
+�#9x�t���O�9/J���a��
������E���
W~8&=���5��2qgR���Ė���7e���A���-y��-R�̥����ֈ�h�^�O���ԏ��70�MG�%%L�~</i�*[�f�@{
���ۄ�B�y�e�4dy�d��Vh���G�
A{��ܹm���^�M49�
n �����VD�(�^K��� � 4T�ذjd3x5��w [8B`��طΞ ����ʸ�Ym��n���[��ƪ�F�OO��k�;9�g:&p�X�d�<� '��`D��=k�B:
�S6
3�"�z��@=��f�i�|yy�)��`��}��g�9nW!oI0�"�1�JdGR�� 4��9�S���,j��F���nr
�>�]�d�.����_�(��%9
�L�S=���;���!.ܛ�$�\
HU M՗�!!U/
�3�6�� F���b:k���
���I0w����H�*�j}�
��0�l(�j�{<�
Cf��Y
��2�-�<�܏��Χ1���c*�
���U�'~>T��O!\�F��wM�O� ��g�����I�Ԓ�X�B¥��9�ޮ%l4�I(�=��]�����ɚM�A��:M��o�����Z��u�b
+o^��D�I��
+��T��,�����!T)᫝�5�bu
�.uͮ��a��up�Jdjq�rZz_s�m⩗=��"ᰞ�1�$�K��ƚL��@��w{�E at 2��<��z�I��78�P6��}� e���9���¥h�@D.:��^���\���9�u�-�d��`9oT��8C[G����P��m�l�n��	�ˌ6�B� �F���*�����8,+g�.�7f�C���æ�^$���
\Ie#YW� �cW��:Z%�5ω��&�p8��gt~���
+���Ƈ#�`%�g��F#�(�oa�&��8�P3�l��ͺ����Ro
j�1%�^�4�g�x߁�{�}L�����������gx�ҧ�4�|Q&��2Y��8^�׹Y��S��k������@ ����ML
�}@���>�ڨ�j=v�S"�JS���.F1Ө��P�i�E����'�L�8��G
+��n�4
����{+n�
1Oi�uC�
Hc
M8�
��8^�:O�3Y
�	�gA��0�4}y�e�F��-}@s��[j�U�g���r��0,�*(��
m�]�����C��M�Y!����(y��
\C�
+/{�I�D�=�����ǝ��3���a��@���x����yRF
9G�6�
��N�IW��i��Dޮ�]N�:��WI���}�� %Jᆩ:��D������D5�^Iq����L�ވ��M��d���n���FK�
�T*���T�/�����^w�Q�P��_YC��8bS�۔c9�Z|]�����e,;�����k��J�`s���]�u��–���pkv'���0
+����L1�E��)\�]�Q�^
��V�[�X
g�*�ڋ����"V�()��?`�n��#�=�[]�(U*��Q��كa��/�~�����o���Z
pet��*}���f�4PU.q�f_���{~|�?^�endstream
 endobj
-1721 0 obj <<
+1719 0 obj <<
 /Type /Page
-/Contents 1722 0 R
-/Resources 1720 0 R
+/Contents 1720 0 R
+/Resources 1718 0 R
 /MediaBox [0 0 612 792]
-/Parent 1692 0 R
+/Parent 1730 0 R
+/Annots [ 1726 0 R 1729 0 R ]
 >> endobj
-1723 0 obj <<
-/D [1721 0 R /XYZ 72 720 null]
->> endobj
-1724 0 obj <<
-/D [1721 0 R /XYZ 72 600.033 null]
->> endobj
-1725 0 obj <<
-/D [1721 0 R /XYZ 72 306.371 null]
->> endobj
-1726 0 obj <<
-/D [1721 0 R /XYZ 72 130.78 null]
->> endobj
-1720 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F29 672 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
+1726 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [346.874 278.519 533.214 292.353]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
 1729 0 obj <<
-/Length 305       
-/Filter /FlateDecode
->>
-stream
-x�u�MO�0���+zl��w�q���n�ZX�
>L��;K��z f��}�pYl�;�R"w�	��	i�K��c���(:B�3�h
��4vk?���n����E��P�&�n�ޙ�d����6��`�IKob�����=��;۴��
��:b���8-z=��2���'�iS�o
���c$�N�8}��{�X�K� �bXmEn<������Ót
�Gt�.qe��~^m"�T
h�DJ�h��B���7Cf���	a���
�� +�W��n���1�O%��N��\X��3
-�f��u�����endstream
-endobj
-1728 0 obj <<
-/Type /Page
-/Contents 1729 0 R
-/Resources 1727 0 R
-/MediaBox [0 0 612 792]
-/Parent 1692 0 R
->> endobj
-1730 0 obj <<
-/D [1728 0 R /XYZ 72 720 null]
->> endobj
-1731 0 obj <<
-/D [1728 0 R /XYZ 72 700.324 null]
->> endobj
-1727 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1734 0 obj <<
-/Length 2127      
-/Filter /FlateDecode
->>
-stream
-xڭYIo���ϯ�Ć�eV��K�3�� A2J�$��d�i��m.����MJ�Łj���z��J�]���c�^�T�..w��H�LEz�
mt������c-�X�yvѲS�ځ��΋����eڄ.��:X]����zƩ
�>�M���k��z�qA��?�|�;�M��~��gzZ��Y�L
_�&Q&c!��wl;l��:
��
��,��`�Q��͗��,��ƀ��<�^�#����j#e�Xvl�á�����\Ob
���&�jW�Ͱ	M��v蹹k;W��R+Dz��,1g>�b�b�eC{�c���� �o�aϭ��B��W=��:�l`1]�:��y�E�@���*q���ڄH�G��\=)��õ���rYP�=dT���
��ڨ8�t�6��y�,ke-
ln���
��[n
��~߂�iP��r7i��>�Ǿ�^Y
�ݸ
Ʈ�}EWMt�mW_ѡD��
^��.S9�#���
�.�$V��Q�:���gux<KV��V:e��f�-n=|�]�[0/m'w���F<�
�8?�-�7<�
ޒ��o�k�
���S��v�M�?����~���^�JuV�J�h%���z< =��	��%+?��
��*��((���##�&�xi2��v�{h�A��Ɓ�dj��=xIe��=1a�����$(�l쾘hc��y�Mf��0��$~�k`n"qƁ���-bRTUr���3�+
8G7vY��B��vس�:
��q�0݀1�wO�;��4���c�$���ƶL%�Q�P��x;���N�(�빩���wa��o�u-{Gh!��d�NsM}��a�y�^W�����"|):�.7Y:�Yp��D���q �́v���WqkV
vHu�Xd� �G+�!�@8�̳Y|��E� N��
�;Ϲi�2�^�8 ��8
�Њ��Q$.p�I�,�/n�	$�hmk
���σ
-��ɣp]_���O��I��I
�h�!z
-�H���9�� }m,�X��
-b��@L��
™Ms�8�Ȉ�ˆ�[l�`;���G0�K̃�n��ͷ�
$�����0~E�@
�b:��C��MG5S��ٺ�ѫ��"��[�H���K�ߓ���Z� :�ޖ�B:���
�Z�	T-��|����d��c������
*���� eR7yԬn�W]﵇
�=��
�W�È(�`��|챉����M��D7jZD����W� H�1\ѱ�i�
�`Yp�?�0X9uZ����:l
� X��x���,�-lj9���a�P���XZE�F��F�]Ġ��Im�ю�?�>x��gPX��k$�(��\�
�y9|��=Rv��SAQ��2��A!�Wq|	#��'�-�F�t��;f���|Ll��I�q)(W�
���SFd�^,z�d�
�񸈔����DqB�&`	�����$ʙ�w�
�Q_��i
�$я��
���|�4ԟ�&�B�c��
�^U�Ɖ��
���K�����x�y��h�)���l���m��͝ڵ�1h?��da*�%Xh�Ը����C��!��

Ё ^2��i1�w�M���⦸>��l�	w
�B "���)��6*���d�c_�zu��`[񤔵X�,���@V�HxI��L��H��t,�0
-~{�QB�/(�9�l�P�s�����5���ꄦ�/���fq�� �����
�
%�
-kn<rr��+뎑L�}J��;;Ѻd5�䩬�t�ߨԔ�����Rqb��c���d|�B�����7�kh�[P&����f�g��}����wާ
����o/�H��`@�S����,B{
��t��X%37�z[��q�!�Y]��%1�hu�i��'��
-
����h���
{
�edF����_�hv�`B�
���Dx����fdj3��N_��lf���<�as��Ĝ�$�$�~m�4J1ɲ"�?�֔>SC��5V/>@|�-tۓa���r?=�P���	93��1xV}-a�����(t���t����H[���_b(`\��
oe-"
z�Z�;�a$�V,�L����)�	t�A�Jb�WX�G# �8+0��N�`�`��A#��+z�s���+��C��ەNo_��0���'㞈&�8e���S������p��7 ���endstream
-endobj
-1733 0 obj <<
-/Type /Page
-/Contents 1734 0 R
-/Resources 1732 0 R
-/MediaBox [0 0 612 792]
-/Parent 1744 0 R
-/Annots [ 1739 0 R 1740 0 R 1742 0 R ]
->> endobj
-1739 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [223.986 476.696 246.789 490.643]
-/Subtype /Link
-/A << /S /GoTo /D (section.11.3) >>
->> endobj
-1740 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [228.449 319.784 236.295 330.079]
-/Subtype /Link
-/A << /S /GoTo /D (chapter.5) >>
->> endobj
-1742 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [214.532 237.551 231.482 247.846]
-/Subtype /Link
-/A << /S /GoTo /D (section.5.3) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [215.743 157.789 402.083 170.732]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1735 0 obj <<
-/D [1733 0 R /XYZ 72 720 null]
+1721 0 obj <<
+/D [1719 0 R /XYZ 72 720 null]
 >> endobj
 282 0 obj <<
-/D [1733 0 R /XYZ 72 720 null]
->> endobj
-1736 0 obj <<
-/D [1733 0 R /XYZ 72 671.714 null]
->> endobj
-1737 0 obj <<
-/D [1733 0 R /XYZ 72 589.481 null]
->> endobj
-1738 0 obj <<
-/D [1733 0 R /XYZ 72 536.139 null]
->> endobj
-1741 0 obj <<
-/D [1733 0 R /XYZ 72 279.56 null]
->> endobj
-1743 0 obj <<
-/D [1733 0 R /XYZ 72 197.327 null]
+/D [1719 0 R /XYZ 72 720 null]
 >> endobj
-1732 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
-/ProcSet [ /PDF /Text ]
+1722 0 obj <<
+/D [1719 0 R /XYZ 72 671.745 null]
 >> endobj
-1747 0 obj <<
-/Length 636       
-/Filter /FlateDecode
->>
-stream
-xڥT�n�0
��+|��Z�d�r�ݰ[7���
�DI��v ���)*m:8��]b�"���ȼ[]���&�-��V�����q��{�t�(+S緅��~�����͝iΒ�a��J)� 0�{��S���3\g<Ƭ
]��g!R�ZW)"���<p�-�?�%f��q!R��s��.��

��
�<%�s�u��y$I��w������{�-9l؃9=9L�
-��c�9�ap[:��L�hj&�*�T
�`
��
�
S�
-�fT++��
�x����Z��f�.p�L��(E:�A:
�
"T��4�PHޡ(��m�*�I-�=���S<�n����0��B3^����yX�
H��+�>/U���Q�c�u��w��ww��W
����N�8����ެk)��Z���	C;�>�[Q0v��8��i�O�0�O
Lcu���XvQ*��OO�_��T�GD��>��=���p��[��-�_�D�Mp�r1N�
�YQ��;����z�gf�Zp��']^�&��8���
��ZW�����d��3�����mG��>n.�
^�w[��	j�grZ
��[�Y�/�1>&�����5]}�].�O8 m��#bn���u��xGC�I����ު���7L��+������5z�endstream
-endobj
-1746 0 obj <<
-/Type /Page
-/Contents 1747 0 R
-/Resources 1745 0 R
-/MediaBox [0 0 612 792]
-/Parent 1744 0 R
-/Annots [ 1750 0 R ]
+1723 0 obj <<
+/D [1719 0 R /XYZ 72 603.99 null]
 >> endobj
-1750 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 619.294 149.085 631.914]
-/Subtype /Link
-/A << /S /GoTo /D (chapter.5) >>
+1724 0 obj <<
+/D [1719 0 R /XYZ 72 536.234 null]
 >> endobj
-1748 0 obj <<
-/D [1746 0 R /XYZ 72 720 null]
+1725 0 obj <<
+/D [1719 0 R /XYZ 72 325.842 null]
 >> endobj
-1749 0 obj <<
-/D [1746 0 R /XYZ 72 700.324 null]
+1727 0 obj <<
+/D [1719 0 R /XYZ 72 240.652 null]
 >> endobj
-1751 0 obj <<
-/D [1746 0 R /XYZ 72 583.719 null]
+1728 0 obj <<
+/D [1719 0 R /XYZ 72 175.885 null]
 >> endobj
-1745 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R >>
+1718 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1754 0 obj <<
-/Length 1824      
+1733 0 obj <<
+/Length 1782      
 /Filter /FlateDecode
 >>
 stream
-xڥXIs�6��W�H�X �6�qZ��&3mc�ҦE�l���
-dl���- E���^H�x���>��M掔Z٣����GN�B��H���Dd�?�~����B�
-W�G�������§奣3��0a�7���2���+�lg)����y�L�[��A��O�q�&͚W���r_��}J���@���::gF~,gs�x8l��
��Û-���6k��X�|~Y
$�F��O��R+l�t�l6
�|5���u�{7��s�w<���~��u-ve��}Ш�f���9���c�܇n��Fw��vI����`�:pF��
�
~?����5�t4Ϥ0��2˜�xY�q�E
j�Y��KRlGbs��͎��l�zb�۔ty+&T	zH�P��mg7��,�'42���`i�D��O��k��MV8q������W�+=,���
-$�����70r�
>g�|�z�
6������|��c�3�4@�.��r�ú���L(��K�(P��4mM��̲�A4�ԥ�
-xѺQM���B��:O�P�r%R`�I��l��a�S�6
j��
�[�����D7�
5��U}����
-�Ewt<q�y���q�����LH[�`���:��=t��(�~�ne�0��ۈ,��P�Fs@}O���ѓy�I
���*)�-z����L14?�o�>�]pǷ�n�v���F�*� 1��� Y�yPh�	 c�" �{Sm�Mp�40�5S]�IMO.f[}��,Q���	J|Ȫ��� ax_봔��xd8
O�kn�u
���:�U
�rL��=�U'�M |�qq����.D��L�5 _��\/��%wyW�:��
�'X��X`����5���.�$�*0�G�"9ۆ�C[���`o:3�g�m�Z�-��!�bcR�8������.���
-�#W��$�$��1����.P[��2��~��;9�vA>����a�
�n�G`O�}*G�	Ϣ�F�0���h#����x4�*���򑠖�oDܑ&�&5��|`$�pn$!�



->��)�x �#��2�a��m�H�
�&#4���
�+��
:�q��b�a�꿡T*܌
)S��+��b
�\&��
�����^IQ�1��[$�
-?%��n���[	�IԷ�7)�Wy
�hzܕ���E�=��!mЁۋJe�-lL#m���
t�
 ��:
-G�������y�j/yf���`��(
(8�O)�&��K8�ALQ����\R7d�K��[�.����RR}� l�t��=#������K����cI�+=�\]�
���QJ;���U瘭�K�_X�ⴶ#L�w93����X����$oN`��|N'x-��n�p��LR���fȐŠ)I[����v�ׇh��������uP�
��c�ஶ��{RYī@�䂀u��3�v(9;�,K(ܢ
���
��H�z
-��t���
-�0E �.�73�A�'��̸G
�
�>|�2�
�

@槊K��@�
�����ɏ����G�LCp�&p�Up�
-�8�!��h_X��n�g]�wm_��ο-�0���I��YI5d� hkO��c�-'+���%�m<�i`�8��'yz<=g��!Z�cu1��B
��%Վ� �q�:
(<3Q=m]6.�����W��I��Q�k|�����U*y��H,����Ol8��w��Ҹ�#��K]}���׋E�k1-X����e?�lJz4"矬<NG)(�E�U*f��L�)d)$,5d
���Չ��7���ᲚJ�b�v��+K~�g����Dx<)�= )�p��טQ��6sxK58����ſ)�BOendstream
+xڽ�r�6�Б���A�5��I�Mf�&�M�D�j
��8��ww��
Jr��H��~��٣'/���fr��89q�f\����JLE��a���g?��	�Q�Y5�}
P[x��\��
�
Z3�u��b:�MS��!*�
/�әr���7�����v
j�_��¶[�S$Xc��Y
s7�Iˤm���|����=:�N�Mr TɄq�zv��%���f�3���
�
3&",�����%��j�	��=$��=]u7{xw���&�_�k�ڻ_/ó�ʺ�
�#JGvAH���Z�
dru7�{��
�I��;��
�[�\&3˙Q���LkK�X�trd�t/
1r>-�6�ȹ'0.�<�&�k8;-J�<�/k��
9F���
� {PD盻��%�ȍ���U0Q���!�z졖�<��o}�� \:��y)�
���W�繿X
g��$� )	�:5p
�ƽV�J�K⁕��>|�2��V�2��)�H��p���]��Ɗ�`z
6�RPv������]�Y"�L�H�?Aփ�}^*F�/]m�A�K�ZDŽtɵmp�h'���fDhŸ�T?.]�X�4�:�/��	�,
]`o��0kʲ�6�Y� �)�if�1� �
јa
O����;�9�{v���
���o���2Is����G����ٓ��w&j��.
����.\�YGԅ�V�_+/���1��P
�|4��^,�.��y˅F9̇@8#�V�@��P$�T�W��*j�CR���m�`��}&|��(��L8�;�L֮�� G��� ǙO�Z6�j�y�3j�x.��<0p�,:�i�nr�u��`c!�D˧���l�!K/i��� �TK!���tH����1j߀��v��]B���H,͟^�$
��d��
���]�F@:
"e
#�/�)r���/}%']R.��P
�z&a)�I��e��ƪ7���ɩԐs#R�a���
�c��r�[S=�H�W�a��&�nN��cF g� �:
�:�58��Ԙ
��Cknlf� �2
�

+�x娶j�	����B1j���6�	\�
��n��
�c���l/�@ij�<P8Š��;�p��U-��<�7�,u�_bZ侎��#l���nn���z��Q$��#���/�7M��W���(M��������+�߸]�UH_y;���]�^���	_zԧ�
�
�H!�N+fm�s
:�A��ytc^4SY�h�%
+9D2�	��f�>\|��.|�s��}�I�z�`Jm��%�6�#�0ה�$	"=x�t�I�3�$V
���huT{�����k��ti��̤�XD� �|l̢v
S�`�L�aj�1�)�dum��+6�:-
��
cM����ٍT�"^��Z"�"��3Ѳ�L�$
��[qzCfԀ��O�J2W�Rr
BXn�!Z|bEU�r�+ at K��Y�|y
ϯ#V
���I�#S���������@<�Χ��1]�iW�=��a���<�������|4v�����r��:7{����Pغ
�o�N��"}���`�i6�E��V @y��r��/)߯�`<.4��*��ɐ�z����J�:f�0F\��L+�	��ލCNC�w7��}�
�K��d��i�GS��j
,����d�n��^
cC�X�����ۇ�;�[���7�u
Z�e4�Rz���Ӵ�����vk
+D�H��Pn!�Pd�܏�.�����{�#~<B
�)��d"�[;�A��3
��tDX��
֙
+ri��CL!ȣ�g���*=)endstream
 endobj
-1753 0 obj <<
+1732 0 obj <<
 /Type /Page
-/Contents 1754 0 R
-/Resources 1752 0 R
+/Contents 1733 0 R
+/Resources 1731 0 R
 /MediaBox [0 0 612 792]
-/Parent 1744 0 R
+/Parent 1730 0 R
 >> endobj
-1755 0 obj <<
-/D [1753 0 R /XYZ 72 720 null]
+1734 0 obj <<
+/D [1732 0 R /XYZ 72 720 null]
 >> endobj
 286 0 obj <<
-/D [1753 0 R /XYZ 72 720 null]
+/D [1732 0 R /XYZ 72 720 null]
 >> endobj
-1756 0 obj <<
-/D [1753 0 R /XYZ 72 671.714 null]
+1735 0 obj <<
+/D [1732 0 R /XYZ 72 671.745 null]
 >> endobj
-1757 0 obj <<
-/D [1753 0 R /XYZ 72 603.927 null]
+1736 0 obj <<
+/D [1732 0 R /XYZ 72 603.99 null]
 >> endobj
-1758 0 obj <<
-/D [1753 0 R /XYZ 72 550.585 null]
+1737 0 obj <<
+/D [1732 0 R /XYZ 72 550.68 null]
 >> endobj
-1759 0 obj <<
-/D [1753 0 R /XYZ 72 332.86 null]
+1738 0 obj <<
+/D [1732 0 R /XYZ 72 332.987 null]
 >> endobj
-1760 0 obj <<
-/D [1753 0 R /XYZ 72 267.397 null]
+1739 0 obj <<
+/D [1732 0 R /XYZ 72 267.551 null]
 >> endobj
-1761 0 obj <<
-/D [1753 0 R /XYZ 72 214.056 null]
+1740 0 obj <<
+/D [1732 0 R /XYZ 72 214.241 null]
 >> endobj
-1752 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
+1731 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1764 0 obj <<
-/Length 2170      
+1743 0 obj <<
+/Length 2007      
 /Filter /FlateDecode
 >>
 stream
-x��YI����ϯ�#�ʬ��b ��
�`� v'���#R-�)�Tϴ}�R�E�t�� >�X뫷|���o��|�.�w�
-%�����Uw6v"6�+��x##a7����w6�-L�����iYW²S���t"�N���l�I
G?����
�|�ߪy�l�5�7M^C��/���YB��.J뻭J�r�����VF=�갅DO��
�P�D
���@7��I�q��"ɒ
�d�!Nb��+TM,�I��]{<氾)6[�
���EI=}���~Fv˺z��{~�(�LI�El�?����
[�0�}�n����=�;"9v��6B��i�h��� �G0��~%�vCϣy����[�y��F��ػ�4€�Hm�P�L���j(����6NEoq<�����
��R�lPwCՕL$oP��S_�ȑ�l���=�~IW������=�O�$h��
��
�-t����r�
�9��;��I
�ȅ�
ꪇ��屪�s�4��D��<}Ac����~
�� x���cE��KS�S�Eߡ�72!���݂�D��
-moCF���CĊ�R��'�	 �
�X�k�*=q��>�R�
�z��2&A�/9�CВH��ኖ`��
�� xf��Ǧ���h@"�#n;׸v��w��a�N�?�,�])V
$��RH�H���h�,��b��/�+`L���a�(i�-��`���������`�
�W	���+N
���b.x�$�痦e$gK��{	� ��ljW�#��y�7k�'�.�U 5��7����b�i��w�{bE�.L�AA
^�PR�8\o)���M��M�
�8�qhI�x5 T(�y ��U��8�
WO���m���X�{+3
K at r�|��Z��ϓ�
N�B,H���z�ܫ�
-�Z& ��n&���I��V���\u(
�)��~�l��FA�2�ξˏ~�[��`}v�g�N1��D��t�
}��^���b�)�.���.�'�������B�LS�
�}�=z">C C�pMa4L�L#��Ӧ�Q�8e+�j��^���4�?��ÒR#�(<�j������!����U	��xR&�����a㧡���1��4�	GN]�H�� ��e��KHh�I*�Y����A
������j�������̰�$l�J���V<SB�7�H���m>	0�����T��pΟ������0�����`6�]�n�X�
�ɍ#G�����8�w
�X�#m
H�u��-��+yp��rf����<(��_�=�:�~���/I�
	�1�И�h�C
A?C?�+9�B�M)��iw��[H�I�y͋y\�*2���pzU���sd�q��Gr��k�
����5��#�5����討���5|^��p5��>!��C���9�J���K�
�Mf�?�N��
B3F�*���cDhր��/�#!d��º�T��b��b	
��q�R^�K_*H%t�,7�m�m������<c
	�%aE�U@$�p��
k"��� �����~}��q"̘��ˤZ��I!�b6Ft`�
8J��F�Y��X�(�
���+�0N�)	{
<��H��2�L	Wp�]���wB�
X-̈�uc�B��
ٖ�!L-*T(_�������W�4��XB���[RS�oξ��
-+�
7�Y� ٍ�/��TL�̍ok/Tx
��a�xZ����, 9*
p�	cZ�K��Q
->x�Y� 9>&qjc�%T.*J��
bN����,��ӳ���V�{�
 ����||��tCIܶ�S�9��T�,�G(��1W�+\�=B����*YԽ��,�!��{����z���g�wT۬�_*��Q�:���tA�Hp���w���DK|�.���rQlJ�+(ߡ�
K���w��}a��<$�ҳ#gI�j�
}�h9U�*Ig�
Soz�*�����W��;�����EZu(=���k��/����1U��F� #��	�jcD�FG[��
-F�
^�
f?c�0=�
�L
%�M�1�,��]��̫�����&$J���
j����	��[�8��rxD:�1��+	p�%�Ac����U��ArE�N_	:�/JA��i؅ڿ
�1���y�Va���{�K�\��X,J��Z��S
�z����u�߇�����X_�y���`EA
�$�M��Kp������d���endstream
+x��ZKo#��ϯ0��H�6�|��a��	�
�N� ��F�l�lGm�����"������
rh�I�Ū��`����~����Jz�����_yu�� Z����Z�Zx<~���? �r���;}�F�#P��y��Qܵ��D�ͺ1]�������ó���gj<ܮ���[|�D�r�O���{):�7�҆�F9�\W�n���#�|bޏ�3qP]�@�\<|�{}7��`W�����,mؿDfЮp���ë�
+al&�j���@φV�A	L�v��Va�L�r0�)b�oZ��~[Y
�M������u̶'v��V�hu��{!C?
�q'8�~�X��i��'
O6
5��ma N�=�
£5ADc\\��ֶٜg�%c+�+���<�Vi�$!.�
	���ٌ�{�q
`�
 #M/`�6��8�!R�?����x�&����+����T��Tő�>r��]l7
L0\���(L�u(Ԡ;B
+Ê���8��r���D,퉴�N����੢㑟{#�wq���1^�~_-,M�h�'�xt�0aN$D���(��N��嶻pt SF�:b�\��&� yK���c+5
�Ƞ��!��XE��|�x��TzPo����D}>�>ר� F���Ɓڻ�d%� ��F8�'e�d|���3��	��$ߎ�U*��=��OT���^Rή
+�2�QB�K�E�~���+�]xO��[P(�����+�*QG���dtLq�x���@���G��7���]�I?�
T�������%�yL�m�>>ɜ�H)�Zs�U��Z(;�J��^��,�����a��!&���%>-#���^&ĝGmY�wJk��&i��*�
U'�ބ�`<�:.�I����!�Y��}�ԭq)��2�~��qDFﮕ=����8x����g�`WO ����^�uJ-H,UX
eFsA!j��Pp �	��JKϨ�����W�[[���� ��R&�@�YL�s��
,��s�;�d�]�l&�+�s�s���=�ȯ,�mՓ�T�_X�4L^�S7Ǩ�W�s�ԩTE	�T	�5��I�I$$ژK+w9M�g�F�ɁVz����.��^�	.���{�$��7��J%�Z�N ʖ� l?Ҵ2�:9H�Bٱ�Lnl�������|ũ�\5�$�:%
�M����R�
 $�
e`?A��T�	L	0���K�� [...]
+\�V�"�2�4|����be
�@�-T�ft;�Bug�+CoL�
�����p��;�f�g}gZ$�Y`�Y��WD]�Pg=Mt�
9�g����S|����5�r�8�Nϕ�8����o�6G�1}y���|�7[�b����~�1o�=�&H
��D˝�e8�n0�!��f����
އ/���Z��W
<|���
+��b����}�.
+�7٭V����%��k�8�4�"�q}�ii
+�qm���%K���BE�
�:k��V��	Nӽs9���A?�6���/J�4r1��:�Q���	�Y(M�%Ɵ�L*��e7�Z�`(n��0א�IY¼^�/��6�a��5
wj���lr���rlf��)3�
/x�,�ΪdH�[!�;����2ғPۘ��-�M

|�Ԥ�����K��C������G��8u$q(�AN�
9��R��[S�s�ꙁ䷗r<���`�[�ʡ�KIR�A��Mvҗ��t�����nd��1�����_��X,���?�f�F�ˏP�3���Ƿ�J�dX�E7@e�䙮��jg���g���e uQ
�����R8<�1�
:
t�EϗI��c�p&��B �#������4Ejt�nJ�2����?
���ϩ�?
)�_w�����(�L�o�j3~�UT��WR�τy��m�@�BM���J���CW��	��ݐ��� �[��Z!1��N8���0H��w����W�Vendstream
 endobj
-1763 0 obj <<
+1742 0 obj <<
 /Type /Page
-/Contents 1764 0 R
-/Resources 1762 0 R
+/Contents 1743 0 R
+/Resources 1741 0 R
 /MediaBox [0 0 612 792]
-/Parent 1744 0 R
+/Parent 1730 0 R
 >> endobj
-1765 0 obj <<
-/D [1763 0 R /XYZ 72 720 null]
+1744 0 obj <<
+/D [1742 0 R /XYZ 72 720 null]
 >> endobj
 290 0 obj <<
-/D [1763 0 R /XYZ 72 720 null]
+/D [1742 0 R /XYZ 72 720 null]
 >> endobj
-1766 0 obj <<
-/D [1763 0 R /XYZ 72 671.714 null]
+1745 0 obj <<
+/D [1742 0 R /XYZ 72 671.745 null]
 >> endobj
-1767 0 obj <<
-/D [1763 0 R /XYZ 72 560.589 null]
+1746 0 obj <<
+/D [1742 0 R /XYZ 72 560.652 null]
 >> endobj
-1768 0 obj <<
-/D [1763 0 R /XYZ 72 478.356 null]
+1747 0 obj <<
+/D [1742 0 R /XYZ 72 435.114 null]
 >> endobj
-1769 0 obj <<
-/D [1763 0 R /XYZ 72 162.997 null]
+1748 0 obj <<
+/D [1742 0 R /XYZ 72 137.548 null]
 >> endobj
-1762 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1741 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1772 0 obj <<
-/Length 871       
+1751 0 obj <<
+/Length 1330      
 /Filter /FlateDecode
 >>
 stream
-xڕUKs�0��Wd�
��Q-9��0Lax�p�7ڃk+���e$;$=��ه�&m
-�"�>��}Hzwvp�A�FR��,�-F���\$S��M{5��c��uN/�
KX��l��<�̽�5W4��γ��$K
��8�|�!O68�\���F	Q�
x�K�mqU��8
0���3���T�ѧ�DF
>f����J�ʵl��#P>�g�aLs��'��I�$�X�G9�錎m�/<�Q�1ئ�
��4ƱzO�2�7�g��:�J�
���\�h��z�֌�
Ƙ�e��)_A�8m��b��G�Si�jʢ�)�d+��C��s��+�
-�M�v�����i�P^��Y�5��Y��w��<j)��;�T� ��8
�=�Wp
����̪'�J�a��>�
rv;¬t�t�9i�;m�ot�S)d>%��h�����{�����oƓLN���]`��0`��t�0 0�
���[��H�+P&(f�-R@
抝$KK����yrxtl/y�2(�������+�^��F�W�/�(T���(Z�c���0��$z|��xW���
�
-y�{���ͥiB�0��i� W[iX�����ݓ�Q;�="�6]*KK�_b�<���,�s?""���؏|Q��E>4оM��v�'0(���=�Wb�n
m�a���?�~�����Z��Z�I�mt��;��<3\��.m�ó�q!O����
��l���+���-Aʓ�O��.{z�SxES�0	�5��P�-梢����_�!�۠����z3�#j�m���q_;N%���_�ˡ�w��A}�I�b�p3���|j
-����pk6|�a
�,��fiB$_�|�)�	�$΅�\r�u���������>~endstream
+xڭXKs�6��Wh2=PS
Ɠ��&�L�q��
�S�
T���Ȣ*J��C{v�Z���>`�}|�v����g���*c׳A�/��6��]K�5C������2��%gEQ
�mAj��I��J�DnH�mal`���yʄL
A;� UӮE�L�TN��@�yn��
G2��"�/���XeiU�ɸ�o���uپ:ݎz.aD�Q���]O�Y�9
h��e�&CYX
��W�q���,�s�h�unY�P�y�=ռ�Zwp�}K��	9�]
n�֟ݾ-��y�kV��� %+���h�M>��
+���t
}+�0��r��vf���Ϻu�4��'�����
��{����p{�*>[|]
�=���k��'t�i��� T��On���󪌼JekY0e$�G��}"�g��Sv�ِY6
��ήfγ��Ρ����Z�*Q0��
�G	��^��8��J��l�M�$��NԒt
�ۆLo���%��[6S���.�
� 
�+i
�R����.kp�/J1Y]�>Z��Ȏ����N�P�T�/��S�X�H����A#�P���9�X�6�5}[;� aߴ��pT���z
+P�k�N
+[1IɄO���W��n���}��^g;v�rO��:ʣ�(��Le���ô&�.Jf�<a*�����4����f��	G��ɮ<�s�A�HC^2�}*�@&���JZ�M��Y��5���a��uĈ s��
+[�����Y�
2�� vৄ�q �"Fg��9
��Je�
�^�%��Oޡ��1�e�8�`&���7ʖ���=�����6ai��������h5Q�n	��M(�,�t����q�jͪ^��^c�Ʀ��Iݶ!m
L��U�
`��-���d7\�J��߮���RͰf�
��~Σ��Э"?��PN��xQ���y`D6���>�|
 G��I�l۵ܨ叺�	>�Pl½0�ݚ�X�=���^͓�mm�����"J�Hv�B�i�
+`t��[�������[��U`��b��4ߒ�SH#J͔.�q�x,��21���ni�p
���K�
V�*�X0颞Fw���Y�^��2�X6ѵfoYŌ	��z�##T���t?�`�>���������o]&�ʷ�c;�����(rGj������{�"_���*x�)�o>���O
�s B�BwO�د�}��hO��[�#�	�]���x�ݿ �
��?���Gǿ���$Ԝ�Z�!цT̺���O�?�wb��_�������D�
���0��������*���|F
�RS�:�;�	^��� �
&4_2/�����ap����/&I��endstream
 endobj
-1771 0 obj <<
+1750 0 obj <<
 /Type /Page
-/Contents 1772 0 R
-/Resources 1770 0 R
+/Contents 1751 0 R
+/Resources 1749 0 R
 /MediaBox [0 0 612 792]
-/Parent 1744 0 R
-/Annots [ 1776 0 R ]
+/Parent 1730 0 R
+/Annots [ 1755 0 R ]
 >> endobj
-1776 0 obj <<
+1755 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 439.137 167.294 451.756]
-/Subtype /Link
-/A << /S /GoTo /D (subsection.3.2.2) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [89.004 496.654 275.344 509.598]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1773 0 obj <<
-/D [1771 0 R /XYZ 72 720 null]
+1752 0 obj <<
+/D [1750 0 R /XYZ 72 720 null]
 >> endobj
-1774 0 obj <<
-/D [1771 0 R /XYZ 72 623.487 null]
+1753 0 obj <<
+/D [1750 0 R /XYZ 72 593.963 null]
 >> endobj
-1775 0 obj <<
-/D [1771 0 R /XYZ 72 456.903 null]
+1754 0 obj <<
+/D [1750 0 R /XYZ 72 529.196 null]
 >> endobj
-1777 0 obj <<
-/D [1771 0 R /XYZ 72 403.562 null]
+1756 0 obj <<
+/D [1750 0 R /XYZ 72 459.122 null]
 >> endobj
-1770 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R >>
+1749 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1780 0 obj <<
-/Length 2101      
+1759 0 obj <<
+/Length 2056      
 /Filter /FlateDecode
 >>
 stream
-xڅXK���ﯘ򉪌8���j��+��/�9%kWqHh�,
-�j.���$͊���x4��������/yq�Ӹ(����M�or]�&Mo
�E���FEo���y�`�6�?��&�٦U\*Ct�á����VE������
�ʢ��>
�[����$U�VJf����"f
-�Ċ��.3qQ�@�d����w~�i��Di!�~�V���֞�DsH%`��I�n��>3Uq�ӭRX}��y�ˌx���:8��8��e�;��B�,�X�cl��(_���٪��<�l;nty�:�<j��<=G;�M0
�f���o�"�[�1o~J��h�I2�)&�M3�3*�j=w�oj\���M<]AZ4u�B�q��g����S�F����&:��0#A
5��u��!]K�k&���=/;;t[Pw1NE�n��@w
-+sA�m
8����R-Ί�"��&�������m9ن6�p-
�"�?�vpmddN
v<\�.��I-^���0h<Ͽ�A���!D���
�gMF4G�<�����Q�y�,�H�t4�wO݈����Q�H�����أ�13�|Rgi8����ok`rٱ�c����ԋ�EX7��$NhF��ȿ�
�w��)�*A�1
��7��
�Wq��r�p���It�
aDv��bx�A\D
0��4���ۦ���p����
y�H�-A$�<�����I}�y��I��m��Hܢ�c
-�Z7�����wO<���4�.�A���p)D�)Q���J)���
-P�u�'��
���1iV �!R�c.5�D
<$�z�*���.+��s�
z$i���#��bQ����S&T.�K����lO�
<�
]�g(>|����3�	}��j
J�C���,�ʕ��F
��_�����7d~�׏�eB�nܾ�FX�Ʀ_Z!$/
�/2ꯥ��A
O��f�)�_w#w�b�h��:���0��(�s E���׆ߊ�&lzpg��
-���b��
0\���m�
��;S.� �n��k��p��x}*��G�ki4-
��$#��op
�
(�&�|ڛ������(@ѓǿ����@��B����j����
-J-�WP]E2ocWp
D+���}٩��}�i��������;�}��r���
#
-{��6�Hi��
�2�[i�tb��KE��.PZ�u���
%�; �V�8
}������q��
��q��и�#~�����@&�t��&[
f�[bl�ѝ��kG!>��R�L���V�Z9d�����n����E*�NN<����'
;˩_`����g!�Q�|x��c�秅z{��	�/��+ȟT��{	D
�`T����U�[�P��qV�Yr!
~+|�*Y
HxM$�ĉ�
�o_�DU
-A���C!��v�
��2Dz

0#��oC��p��X! �.!;ρ���n���
T�+0���T#��3UD�,�9^�V4�,��[�PC�^8�9�i	!���'x�X}�v+�t���I�����(�/�ԑ��4�o�^�y�c]T�; �/P���Х\�|������
#k�<B��_x��A
��#�S���LU�P���]��NS�,�u-L�u��Z��VE.�L��3^�G���ix�0���pj���4$��G:CջЇ�M!�]]������q��
�f�Ž
u�M.U�CR]w�)�E�C���V+��Ȼ
��3�S���%��U�����Wr����
>)s�ˎSX����A6d1�%��C
P���u�VJ�/^�we\��\���f� $��1K+ ܞ�ӳ*����B9��������9��
:^��~�?�
3�$�PiJ%}
�}��4ӯ�e�5�ɱ�3Y�Ez�h"ނ��UH�+�:�Dz~h�b��Q�L1b�M��	�t��S����`/Q��=��܎k)[$q�;�8=Q���i�|;�54Z�l��{���P���Uq� M�Q@���s�JZV�:��p����K����P�ʔ=�=D�Z=1�I�o���VD$�E�Z�Шg��
۠
�O4���cȿaii��T8N�$6�ػ��2c,K�� [...]
+xڍY�r�F��+X>Q��`�8K����⋭S⤊"A�1E* �]���m6\�Yzz}�=z{���{���.���FW�Q�G��3S�����/��f
+���.&��c��⯫�F�hR4Y�
��|w��u��g}a������Dpϭ<8���H�YQU��EV�v���l�6��ƙ;��2Zn
�5�
W;�x�
e�gI��)M�d�
��!>;��QiY�0x��yf�@���lV��h��L�L��=��N�K�ΚI�&� ��:S����"�>l�m�ryOl
]��
W�z#b�g�_�i���	?���Ok�ԩ����������������
)x��N^��51E��/�/	���%邅�FF�q/ό��UEV���H��9]�����y�w�`8�-���#V
����
��}��z2
N�
���'vON��ޛD�

S����A{���8�6bG��
�*�%E�
��^��i�q^���h
+��[
��z2S;���#ң!|&�G9V�{�=g"S�E��8 �
�O�����94�x�y���g��\��r��l�5R�),���d,�7��|�F(
+;=��X"Ec�8�`r��9�3��e���"
�J&�s<���y�vak���؅S�l\"aN!���3�Ƈ�KL�yX�s=a�Ý=ăx�u>�\lw蓔�c����C -�������T���lf�CV���qm_M+��:E�>iDu�F���RGS�e4������{+
�p�א5��#�}ϡ
_reZ��'p��@ף�@�-�RkTqa�*vldTJ?��.bڻTm���J]���q�w�i�v3�
��L�uC�
���v��@���������	��ׁ�vh�ʱ�"���NB�Q��7J��.,��2���+u�(qX�x a�
=[�:� �q�X�;ż�:�|1���&�ܙۇXw_�k��:�� �
��lA��᪩ʜ�U��䒏wϜ"� ,�8�Ǧ��v�ف������r��vV� ]�-D�
'��^�gz��赪_�Q)M��qh���*wyWF�vsJX�:�U�\j\/I`��<~5�B!��>R}�C�r�
ځ}�
���	��D��Z4���]��h���.���<_)�Z' q'����2�����9���~��s
��]�b�n�
+hz��N�NK �C}���3/� 4s�7?��Q��4����	
+š�	KRE���~�!%���L�B�Y�S�-^�m�67
�8�#���a�"��h�]/�����6��M���Kx~��3<��L���^s�y�z$ԡ{ݧw�D�4~x-aVP"�k�Q�ُ�y�W�✇I9���"vLp[3dy�ΩU>c*�r+
|خ��_�
p?܂�2��q�0V҆�uT��u�*j�d+��UZ
�&�+S3>����L&o]�tՅ]>$��,d/���_7އ�I5�o<�MD
1��;6\


N�
w�
�4�^[�?�=�L*�,i����m:�����݊��waD�����������w)P� �g�2S
�]	o��Ts���"�g��k��lEvά��,}�s5�4rꢊ��)+�9��
c"����,:JL���*"��!���ϣ��'�M�s�|�6t����=��A�)���^-7*)��K�Z�-�=).�!�z��i�Mou�qiG,��U����΍�w/�`�"i�03�Cl�V.�D�s/�1��'�-��b��J�>�S�
+�ޚP����e�_pR*%�У_��V�ˡ�LP����y��?���$<��Gђ�}�[���	��� r�Fe�1��}��\�"�ͳ�k�I�!���pc�F�On��>��/Lr1��b��y��^ڹ��q�oB��B����/��o13�
��i�
IJ*�<T���*+s6Yn�)lԙn�,U��D�s����M�!T�Q���tR#&��&�N�
�a��'
+��Κ�=B�}l#8rӾ���<��H?_�a-�&p
�:�Zq��Z�j�
4Kΐq�t�B����mS@%b�?�����xw���
�Gendstream
 endobj
-1779 0 obj <<
+1758 0 obj <<
 /Type /Page
-/Contents 1780 0 R
-/Resources 1778 0 R
+/Contents 1759 0 R
+/Resources 1757 0 R
 /MediaBox [0 0 612 792]
-/Parent 1744 0 R
-/Annots [ 1783 0 R 1784 0 R 1785 0 R 1786 0 R 1787 0 R 1788 0 R 1789 0 R ]
+/Parent 1730 0 R
+/Annots [ 1762 0 R 1763 0 R 1764 0 R 1765 0 R 1766 0 R 1767 0 R 1768 0 R ]
 >> endobj
-1783 0 obj <<
+1762 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 464.325 114.284 478.273]
+/Rect [71.004 464.351 114.241 478.185]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1784 0 obj <<
+1763 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [272.791 464.325 319.17 478.273]
+/Rect [272.808 464.351 319.239 478.185]
 /Subtype /Link
 /A << /S /GoTo /D (cite.HoImaKin05b) >>
 >> endobj
-1785 0 obj <<
+1764 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [325.554 464.325 350.958 478.273]
+/Rect [325.664 464.351 351.04 478.185]
 /Subtype /Link
 /A << /S /GoTo /D (cite.HoImaKin05b) >>
 >> endobj
-1786 0 obj <<
+1765 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [287.073 363.869 330.353 376.488]
+/Rect [287.065 363.9 330.302 376.443]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1787 0 obj <<
+1766 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [85.311 319.867 540.996 333.815]
+/Rect [85.29 319.893 540.996 333.727]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1788 0 obj <<
+1767 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [85.311 319.867 290.317 333.815]
+/Rect [85.29 319.893 290.065 333.727]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1789 0 obj <<
+1768 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [288.325 319.867 290.317 333.815]
+/Rect [288.072 319.893 290.065 333.727]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/matchit/)>>
 >> endobj
-1781 0 obj <<
-/D [1779 0 R /XYZ 72 720 null]
+1760 0 obj <<
+/D [1758 0 R /XYZ 72 720 null]
 >> endobj
 294 0 obj <<
-/D [1779 0 R /XYZ 72 720 null]
+/D [1758 0 R /XYZ 72 720 null]
 >> endobj
 298 0 obj <<
-/D [1779 0 R /XYZ 72 533.86 null]
+/D [1758 0 R /XYZ 72 533.872 null]
 >> endobj
-1782 0 obj <<
-/D [1779 0 R /XYZ 72 480.432 null]
+1761 0 obj <<
+/D [1758 0 R /XYZ 72 480.463 null]
 >> endobj
-1790 0 obj <<
-/D [1779 0 R /XYZ 72 282.632 null]
+1769 0 obj <<
+/D [1758 0 R /XYZ 72 282.695 null]
 >> endobj
-1791 0 obj <<
-/D [1779 0 R /XYZ 72 229.29 null]
+1770 0 obj <<
+/D [1758 0 R /XYZ 72 229.385 null]
 >> endobj
-1792 0 obj <<
-/D [1779 0 R /XYZ 72 229.29 null]
+1771 0 obj <<
+/D [1758 0 R /XYZ 72 229.385 null]
 >> endobj
-1778 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1757 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1796 0 obj <<
-/Length 2518      
+1775 0 obj <<
+/Length 2433      
 /Filter /FlateDecode
 >>
 stream
-xڽY[�۸~�_a�K�"fER� }�d7EM�"��Y�=Bd�+������\HY�Г�N������;������|��BJ����-�L�da�TD1tl^~V2Z�r�L�&�e#��h�6_���4�L��X$Qꦽ]�cm��C�Zk��2XC�]��o�E۬�k���j�fϓ�u_W&^₮��M
�r��`��u�eAU�\%�0J;�v-�9�ǩ
 �"J�d��M[k��4�k8k
e�
N
�=�G�
l��IuF�F���<���@�ĉ��C�ZCߖ;>G&ږ��T��אN�a�F�
.	۲�=n�#t��Dgɲ!��kٔ�
:
P�
)�vN�
�OIy�R��`�D��b-J��O]W��P��J%���
\VJ
��7Ԧ� N�d��Sɓ�
�|j/!F-C�f�H����
���U	O6ݝ��o61�\^�,M�R�%�J��Y2ٳ)��Q�

�άHЃ	�����m@�H��Y�M"�LD�;�-�8�+�bS�l�//��T�����
��5�sڠ�kܺ�������/����}�9�q��|�P�f� p�d�I;�1o��
$��G�� %Ys�P�`��yb3�l���*PJ�Y�44�^��0
)�@r�]� �����
8�Dn����UH�v���
��&+سJ��@a���
R
-N�
�1�O2X﬚�̓��zo���(
-��߇p�Jb�Z0�.;W!�GU�
P�߹�ݹp���d��#��{��-f�o\uv.X�����|�+9�`Y��`1��
-��+&鳋�WLx
zx
�_)c���p0��\b���;�S�?�f��[
-L��a<
�:�Z�>v�- ����9i�������,����=��
�t>�N3��
��0��
v��
�Xy��p�����1T�#a�$'Ig���,gT��R���u��Vڥq �F-�:�
C�t��׌@σ;��F/?
A����C��.��.�p�(�tqBQ�\�)�ўP*'��0c=�'Kd1(R��-]�f�7��~��{:�+�hh�,��9X�j��f�r[���+�9P1�q��\�x�@�[�|�SOLZ�?bF�9�+���;)��J@ �,���K��
-ãvI+�m7Ic�m;E[BQ��G���XA$�ǁC�H�(��>���&��S�T�Xd�
-RJf�O�ٍ0K5a
H'�PҜ�Ib
=����c8��(����a6-{�@��n���>;
��S�~`��LΧ��H��C�XǺ����"?k1��07�2�7>��{�5���j����
C�=�
UD}�;�/�5�2k�]_��,_>����?��������y�pPQՊ��(�w\�`�S�<���)_��g)�e�
\�`�d/o�_Oe��_&� V=���L�Ē��N�*0k�
���v�xr��e�<c��-� ��^
�&��8���cM����]�d�>Q�EG�c��1ڶ��a�d�7k9Lh���N��
�aZ�)�ri���S��.`�c��6��J�'
G�:V
�����
��9��W�)ȏ}��ؕ`l�)nX�
f���R$�i�o�ť,.
Y"i[���늋���

�����7�j߂�
)�]�m��� >
��'::a#����:�6�ʬ��>��J��T�������|AB�#�i��
y�>b����E�
��œbPً|��9XK��kH���
�r3=æj�C�pڗM��u��w���Gs�0�E�nY;M�R�XN���0��4d�����rDt�)<W(��
���V�T�xn_�Y���%T��@�$����z1�Ą�Y]{ H!�'���I��-}�v�����$g�@_@���Cz���
-$
x�MEd�"��5_jd�)M���܏����G䈪���#�+�
8Ɔ�����H�}��XC�[XCD5>|L4��K���&?%��G�o���<�s#I!�)����;N�
�u�s:9�S
rͲ&�
�ŠȾ���~<D������]S_Z'g�B��h+9�J>�#y-�d2��A�aB��f��;n�8K<i�X��n�O_�ڧE:>�uz:
��Q�ӤFe��P�O���p5�=>��=�s\����4�2���^��CY�����g�X����3�-���2q��/):i$_FJ�;���}%2$��md����qI)`lNb`
e�|��e<k�a`���
�:!J���>��G~����w׹T^:Le��S�ߙт*�Ϡ��1��ۦ�<P���
��}
���Ha�����R�
��_u�7DL��}e
���#-
-��D�Ծ0��3�[���~�H����e7?���4�r�U½&�T
n~����h���?�Dnڋo�Gʲ��F�Z���o>��k���2}���i^$�ɐ��
� ��	#L��0��M� �0��I�ϙ
�̭&ϋ�D
/�8�%�ٻ�ƷL	�
��]��G6��CG�a����[+���Ӄ�'�
h��u{pMKF�I�"���l��yd�3�C]N
G��'���?�{ݤendstream
+x��ZK����W�|��Z!x�xlU޵7W&U���탆�fT�
ǢfΟOh� �13NrP�"�F?>t
����Xa��S����TRʩ���n�~�����z�#��2	W��S���l����}��<�
Rj
�v�(�pC��S��ˁ�U��;�w�
��~�s��l�nt߷~�@��yY��;
j�o೵cZ�����
�r3�ƂUk֠|����y���'��
�BC
+��
�\A����b�~��*���DKӅD���
+����jΕ{�����/׭�p�tO~�%ukÀ�2���?�[�C�4A�op���u�J}���,����o拒��(�E�ݍ3Ū��q��(F�x�Y#|�B�4'Z��A�p���u����_皃�7���O�`����TG�/41T�D�@
'Z�
?۪�jFY�D�u��Z�(��j��I/�Jk�l$#�

w daQ�� K7��}�y�B5K쳒Q�S��H Wq&����x
�5)�H4n'7�-�o��Z�j�z!ֽU��n�>��—�M
��
+1,
+BUً�G����]�Ě[��C�n7hY6-i""@ђ[�0���
^�3=�v�Ɵ��X�6��c�#]jf�jp�r�_n���MRG���~���rs�zb�>b�‡ACզ�Aϖ�w�
�#A�����[r�����[?[+$
� Q�
 
!@"r@
@%��W����3�k��<�\d$
���
i���5�`}�8Ф:�>[/>�!�P��9�>�C|BP�7
n�����N�6���tcr�ϢK���}e�J�����K�Q��ݽG��|L
U�-��B���|>a��~��S�H�ܢ�M�w�U���bX��G�y�ϳ�	�;����>���E�9
+H��e��"���f��DP%����V�j��=���
��
x���N���},��~~|�`X2y&��@"cW�~�Tu������Ciy���خ�����_��
d���4�F�L�Q
�Ұ�b��{��bK�Y�跾3um�����vAk��q�H��2H�VRR�j�����]��$�qL.�B>+��]�ToW
+
�o�Ej�#~<#��[�/��,fģ:�!G�4�/R*���K5/�~t�.�,+��_B
�<�f����G�9^��@c��]�W�
iF6ؠIW'%�uu
��D�;
c`���!�;q=�l
�q�>�����"<Ϧ;�T��
�h��֬7!7��0}J8��&<M0�-��;�= �nT�r�t��I_���
�#��F�վˑA��_�X٩�bba
+�Ճ1�P��E�Rnf��uJ9`�[��c�]�����4fh��t�����sù�� �-(F�I�`� iH�Z| J��@<�K�^u�TiWr�h�~	;*����WI�x뇎�}�SN���=틘�e}��z�R�7%����O�ʈ�U�}���aF?n�
O��iښ�]�6V�rl/��>�����c�����\�3��z<{ه��8�t1,����ە�*b ˍ�m56�xzh@�X�&i����,���܁ç
�Pۅ;?(�o|ɬ���
̲+�H�2g�U��>ӓV���}w�A���g���������+���A꿳u��R��$��.9Z	{2E��ᅂvTG��Γ;�|>���
�7� ��Rp�z��iRg�$k�1�>(���]b�
�G8G�&R�T-irC|]?�'�	��{��~��o��!d��{�#u�
^�=��Q>W<���}�
e$\��QQ`���3I����ɜ��
LҒPn^b�
�c�:'��qI:wu�).�T����"R�iA���(,�҆���3h��
���r#�p|�đ*y����i)^�XI����و��QA���Kv5�.����Y�*d��7���
��sFXb��8
�P�_
�z�h"X��2/�#^���D�D�3%N#
+�	���:��1�A�=��g��,�D	s����\�!�♩ 
vT�k��WۆpH��n��#;}�w?�XE����ޗX�('����_���X\H"]�
P�Ǧ�w
�k�-g��Gn�����F������8U��*���s'/f���r�ݯ��
\���ѱ�<���
���(��i�#H<��j�R
O��g���/9^���
_�\]@�%e�ks{ȗ�|N&��R��(C��D�K��s�N��K�/����'��'v��)�*�fC�{u?�}��t����J����p
�Mu?aZ��������OQ����)
+zg�$����趇�r'�X��2p��!	ۣ��K ���61�R6�"�Q��A���j��/���ur���d����y7��p"�t+����?{ia�H�����&��N��}k�j�Ma����
+< b&5C��͋*��?�X��endstream
 endobj
-1795 0 obj <<
+1774 0 obj <<
 /Type /Page
-/Contents 1796 0 R
-/Resources 1794 0 R
+/Contents 1775 0 R
+/Resources 1773 0 R
 /MediaBox [0 0 612 792]
-/Parent 1801 0 R
-/Annots [ 1799 0 R ]
+/Parent 1730 0 R
+/Annots [ 1778 0 R ]
 >> endobj
-1799 0 obj <<
+1778 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [452.095 343.122 458.82 357.578]
+/Rect [451.63 343.143 458.353 357.532]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.9) >>
 >> endobj
-1797 0 obj <<
-/D [1795 0 R /XYZ 72 720 null]
+1776 0 obj <<
+/D [1774 0 R /XYZ 72 720 null]
 >> endobj
-1798 0 obj <<
-/D [1795 0 R /XYZ 72 567.281 null]
+1777 0 obj <<
+/D [1774 0 R /XYZ 72 567.303 null]
 >> endobj
-1800 0 obj <<
-/D [1795 0 R /XYZ 89.933 114.612 null]
+1779 0 obj <<
+/D [1774 0 R /XYZ 89.933 114.636 null]
 >> endobj
-1794 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F86 1221 0 R /F67 564 0 R /F76 747 0 R /F48 554 0 R /F7 753 0 R /F8 551 0 R >>
+1773 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F158 1216 0 R /F114 560 0 R /F142 743 0 R /F69 550 0 R /F7 749 0 R /F8 547 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1804 0 obj <<
-/Length 2567      
+1782 0 obj <<
+/Length 2482      
 /Filter /FlateDecode
 >>
 stream
-xڵY�r����Wt�
-9�0�$$L�,�i�
�j䘅�
Y*b((�hI��}%P%J��
/D��{�}�D�}��6{�T�'����[�PG歍�020T�+��Ϳo���:ZXтw�Q�����n��
-x��	�
<�jx��x��m�6Nd��nv&N�S�����.�)n�+�
��0������8��t�v�״
�xn(�މ�k
wJ���94�0��*Y6x�}��~K+���ϕ*��qGע�#$b6�������Y&ڊ��7Y�ā�(��,������GEnv�+��P��ceW��o?�y�Wj\|��`F
#�x�5A8P[��)��$�u
3_�H��-PL
j��[v��åQ��u�3����Ȗ�P��%پ%��o�
�a��_�sYL�<�Ϗ�
���D�+	����&8�
�ͱ�9�����g���$�
'#�=��h)����`6o-
�8����3�%*���Syh4c��-,t� �� �z%�� ����nꋆej
��>H2��ؑ�kB~�g�nK
�A��;�(
��Q�d��{jC�4U����z:B�Vr����!�BM����B�p��n6�Qj.�DS
C�1R����B�Y�Qd��0��	X
�:U���'�ٸ�Ĭ=�;�l3b�!�3
~�B�u��F�����'����J���B�w
`
��ܗAAW
�V�Ţ�!8�I�5�Ӫr
<A*�� �c}d��{
<jT�0�P�;��k�z�r��<�=8.W"ѺZ��iBZ����
�[�������C75/�㈗�<߀@pp���M�������{4ʂz�/QN�
U�w�C�c��a/�v�T$�0-�890�%�,��2ZӶd����~vb���E9UL��^R��Ю۲w�ื(����="bӑ�+�����^=���nz���n&�.i�8�_v�%4A�D��{�ix9�%<���jIcQ]�XZ�0�S�8�m�&�=��^{7�v�E
9pj�V0w�Z����S�$���
$:洜BZF,���b�(S�l����kIY���h��nl���v�ߣ�GĹy��} 'K�����j1.�a�͂�'����:5��$A
�/�|
&

�m�T��R��qj
L/v	��RI�R
�)`NM���-N��k/�8
�&�+�,�
���Jq\��k�����#ծ�
߲c�ܖ�;��T�ֈiqK!��[���al}�ʾ�vC�W|
B�K��a�I�ppPvz� 2
7!o��[����Gz�T1rk_4
��i
���ڡ;:
�|�5���*{Y1�X���..B��p�͸2b��	��d�F��)�A�T>�S�N��S�o�
-�][���
��U�����@U|B������B�����Q�#/�J?ϋ���U��a�\�h�Y)��sm��&.a��3?�IB��o�s���#w�$
�*�*�zJ?��xE�?|�K�����\9J��iU�"����C-w����+��!�^h&D��ɜ���%��·��}�
���K(/4�^���Lȿ� �*�M��u���x���ؔ
'Og��QB
-�<���N�<��� ����8
g�2N�1�w��
d���յ�Oy8P�Ho�dSD������&�Φ3:?��U<V�������5�1������$�S��D毷�~1�!�qIT�$�\J#���� К5A�j�V�(����]�c��
W}�8�E����
��Qn�}}~
-dV<�;TU
ٗB�M��7����I^k�qC��xR��¦�
�/l�o2�^.��c7g�K��8O��̘ �]��i�ɦ>y�sR@�_x�������[
I'���c�Wɜ���m��]\N� �٠X�a)GX/
����Lܩ:�m;A�*�h8��(��I)�0�n����"g�E��I�"��or*��6LvtcO7�C�j8��ܗ�uz��4��(�a�
��,�/�S���W9�����g�Q�r�#	,7�+���5C��}�8P�FW
-�PK�v�>G��� afF�9(���%q�H'0Vh���@�Ͷ�ٲ����#��g��#Y�/�Ag�O\R�@���Y�H�6w�����.$+�9+�i���E�/�^�;��~��./�oeU1Rv�8�~�{�f��/vD6��\�tl)-����?Ny����t,	.N�L�_�r�m ��(_��2)�/3#O���¸b�|ҸVW��f���,���O�|��(*=
��{�e�,
��kR�;X���<�zˍ OW�s��
���� �[� ˙���p�t�fs�bz�V��L�.��%����
�g�m��W$x?���R
-{�
;�y�Y;0�?-�����E����Z*_��Hx�3Y�d���+
��`2���W������%�6
-�%әl�
��~����'��0�x�¾��;O3�z^j
г�V��Y��y ��`"�9� �~=��=��
����z��A�7�R����4{O��o3��]�F\�?G\����@���v�C`8�z�ѧ�\�Ɍ�Wd3[��x��IZ#2�ok�D	�?H�m%����%��P6
-5~94
-��L���
���t���m
6endstream
+x��ZKs#���P�J���p��)�������È
��Pˍ���:>�@�bHI���aJ
��@����7������R�u��fs�L-��W�l��0��u����
u�	���Nz���j�7x��?���s�[xzx:x
���{xn�� �밋�N���dK�|}����0X�}�
��G��S�>�ˏs�ﮗ�Z�H2��Y|
t�jO�=�%��Ri-�2���_��)����.)�6�6=��>�ƑA�/ s`F�8*&n�
_
+z-��8am���n�\�(8I�̨��i���̬J��SWCr�jS��jH�Wy@�$�RYPnP�E�
��t;�ӭm�ro{��TR4է��9��$E����3����䫲E�M�|�IW��#��^ȼ�����@��a���`���
��{�+^*�Tq��
�)�����:��E}j�j�����oN7��0�8�_s�Cu���~��=�,
����eE9�H�����~���xdۈ��i�-�uG��t� 
��$��FV��h�2BP1
Ud���qD��2�6/1�#m�w�
��&�j������7@��ڝ��Ky���e�)d��3j/
}F���՟I�y2эRC6�P$*�o���	��1����:�gEҊ�����I��-T�fv=Ō�ꤽ;�69 ��I*����=�K0w�끲^�$Y3A�dv�nC�i*���Ƥs�$�8�{���#o��{�?m:Fг:'�_>lIQGr�uXxRd��iw\.8teH̍^D��ɜᾯ@v%��M~V���W� [...]
K�4��L����uҰ��4�u3g��л{�i.ivI�B�r�-*]K8ssY��y�;�J	ycq��֨ 
r�� �Y��dO8Bm>��a�\��� 
�
�tX�1XU�c�[#��M�逪��kmJ-%`T�B�-��e�h�N�~*m�2+��
k"z�68���0xK�|5n�'�d�O�a�*T� �O;��.��:����X�]
�>�')�u
�܆�
�LA�}2��X��v\�d� J����9K��ŋ��P:��o�&nxH��o�h�����AXS�P��Oyj,��
���]|W`�!�"���P��;2��-W85�J��t%���?��@I��p������p
��������e�ޯ��Uj�=���ta�)�[Q�E�PJV��>��X��� ��o��:b���5D	�����)����'R��%�S
�c/E
��u;��>U���
f�:�M%}]jޕ�QY�|���S�ߞ8��(	%'����,��-o}ڒ��~\݆uԈ˹�%�߳�@l����L�6
*������p��X><I�y��h�bК����ã�Hٍ�"�ϔ�yBe1�1��І�=�O�`��N�&p�m��n<qР?�*��n�Ê�=�d���D$\�3o���p_W{.{��]�,9

ga�Y�?���F�*�Ȳ[v�ie��#��i�U�p>�M@�o��-�Zp&�
�n��EG�4Q�#��$e8��>x��;�"���ԏ�p��T����m�ڱx �U��`�7��,�{�8��>��
ϒ�)�Yr�i�"f�9w�}zM�@�Ł�������Ǣ�m��|�؆��H6W���g�H].�ȏ����T<>�8,ݱ3�3%��`d4�4C�R	�N
+d��Y�/ ���H��X8��J7�
�{���.�(>ry��.�Oʷ�T�ɽe�aG�u��%̿���`{�͂�{Y���N�
�Z���]e��&evΈV��5 �axo���\
�@3K��I���nR%=LSZ�>g?ī�u���M�bgo�/����V�/�p��۵s��>��h�<�#l�i��n��4�J�b�;mSvR�=61-O9�e�$S��K&f�e
�X5��")!V����8���usM�
��陫< ��(���|V�3��(yIS	�9��۴��$"�y��6e�ߜ�*
�L��g��)g*ƈV�2P�d�v��8��$77w��Ѽ���/x�ųP��Z
42oqk�wV8<�8ǿ����ø9�
	�u���}�.,2	���I���������B�~���.�C'��O�S�u�q���T�n
��"�}2�x�s�{�
^�@�ܤ�a����ڲ�p"��m������@�g .��7ڒu�8�a;N�
��
#Wf����L��Ȯd�S�����>W�.���L@�Y��6T��\�\��`v�5ۑ�jz�t�#!D�	�es����+UK��?F������A�W�߼��	�endstream
 endobj
-1803 0 obj <<
+1781 0 obj <<
 /Type /Page
-/Contents 1804 0 R
-/Resources 1802 0 R
+/Contents 1782 0 R
+/Resources 1780 0 R
 /MediaBox [0 0 612 792]
-/Parent 1801 0 R
-/Annots [ 1806 0 R 1807 0 R ]
+/Parent 1786 0 R
+/Annots [ 1784 0 R 1785 0 R ]
 >> endobj
-1806 0 obj <<
+1784 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [248.458 302.565 273.533 316.513]
+/Rect [217.936 302.565 242.978 316.399]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Imai05) >>
 >> endobj
-1807 0 obj <<
+1785 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [275.04 302.565 300.444 316.513]
+/Rect [244.725 302.565 270.102 316.399]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Imai05) >>
 >> endobj
-1805 0 obj <<
-/D [1803 0 R /XYZ 72 720 null]
+1783 0 obj <<
+/D [1781 0 R /XYZ 72 720 null]
 >> endobj
-1802 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R >>
+1780 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1811 0 obj <<
-/Length 2315      
+1790 0 obj <<
+/Length 2290      
 /Filter /FlateDecode
 >>
 stream
-xڭYI��F��W4|� �a��&��3�����tN�9���D����
#>o+.R��	|k�W_}o+����w��A)?���#�"?�
� �Z���������}H���Џ��!�o�;�M5�������b|���d5/�~j���n�������n%�Ǔ��
�>��8`1��s1r{�C�pG�I�s5��V:.�]�
S��.�<�;�8ce�k�u��q��A��"��HH\Y���`�+!�w{�U�t<��0�`%��P��
|�d��^�ܫ܏����s�� ��c�	�:�#X�u� �:x���ơ:�%$�0L�
�)��ȍ�f 
v,�Rj�)��7W÷X��_�:̔�:�B��Zg��y��>
-��A:�2E��~ZY�l�$2Q�@�|FL_��n4F��Cal��I˜O���gʑ�l�!;#-�">%@GG�
Kx��k�	ŦF��y�7n7��=p��L�vQ!���Ǔv\d̠~Xɴ {
-�Q�
|\Y�~�C
d4�S�����Гh
�sT
1� �%u��X�
�� ��ut,j_�
��
���/��cM
�Id�Ss,�z���)�H��X����������2�4�o�B�@3�"`���c�|AቔKV�͞UC��&��� 8����A

�
-7�`A�f��{<KG�^���
�EK(
�k#��ѧ�����y��]
�V�D��
~�;ܓ.��P��Z�|jH��2�Ʈv
 �ꋧZ�k,��%ee�����H��
��t�w8���5�WV$i-�UG�6�%
+��g6V*���?"ʭ���A��c��Ŋ#t at hH��d�1`���$��R{��M�8_-Z
5�&6�αǽ�X�e��:U-ab7�
��
-s�b
j�|�Ft���CEz��d^'����iB]󨡟�K7�s�/�^�W�ŀ��G�J!	�ŭyQ�'b\�W�a��|���R��ϕZLJ�P=`�W��|źܣK���$�����ق���F��,�w��N3���]z�5+�u �]?�B�B���΄,�n�z�u1.�z5
�2
?8��R_�@�-�8�W��ǾNl
�R�/"����F�H�a���c����D&.B���f��M ��$�+I�;��h)
)Ȭ��n���]�����D;
�0��q
�N��r�''y�� "f�<N��u!��*+SV�/<� <�w9/
:�8��
-"C���V�^�l%p�N�p\��/ĭ�⩪�C���4��
-�"`���M-�Ō�a��{�̖
��
�۟�ǟ�����[�
-&hU�s��mZ��U���cd�y�+�c��)���4����"�\<�O�ʊ|�I
-�<�� "��u64+�
!��c��n�e�>ṼO�%/%�h��J�r�m��G!2�2���T��q4�2;��X�tl�k�&^�A�;��M/�[����?�"s���3R�� �ؼ�sR�r
-W�/�
Zv6���K4��;�Ȳm��r����N�Ct�����T�o�LZ竨)�z
���OV��
-1Z�8�
-�~�J�j=�t
q!5��E�q(Nj{�֩�^î���ŷ{O@������9X
-��(	��q<�5� O2�74
a��6}���x5�6���f6��U�n�I���k at kK���aדd��]s��

-�kέT���ŨY���
��OR���
-��ҤҼ®�
-t�C��
�f��V�V�����糑x*��8S���?P��N�4�
�x�ɐ������K�J�8ム����py���H %�
���ߠ��;g�k'ȋs�^x��C?L�U,
-�ͬ�уF�
-��Q����g���;�e��
-
������.�d���Z��A�8
8a��;�t�����\j8����* }�e����"e1%~űn
�?U����>�����.�A�Th.��婟��k\1�/d�n��*��^����ɳ���|~A�")F�]{�U�J'�U�A�
xI��*�&�ht��h?Җ���T|��xn��J��@�����z5g-��$��q�
f����I���L�Fz7š�ud~I�F~s����CW]6+�
�z�2��DA����8����*9V
y
m	7A��_SW����p��~u>

��A�)d�<��j/s�EJ�A�Qvh���b��5L�nP<�Q������P"c����b����y�
�⯖��%�Չ�6���4p�����V/��7�4���2||�0`k���V-/{��I�F��_*�� �9��̰U_�$��us�L��ئ\�������#)�"[���~�i�Q9`WP��{���?t�Sendstream
+xڵZK��6�ϯh��
D��)�b�"v��!�29�m�m�m�Z�L���ɢX�H?�A3�X,��������ݗ�r�
8g]�<<m�bJ�S��V�i����_��
�BSB�#
jG���/������
�	�
�%����DG�Ɍ��?
+#������c�
ax�k?�;�>D����
w��M:��z�90�"�C�g���D�������go�K��i)7~Vdx���
+ܞ<�
'=zNR4�3J���_#��c_{?�F�aν�R���JM�_�V+�1%�
ڿU�J��
5ݨ��e[�5mrRh���§]8�
�rw�����
+�#�t��Q_�y�,�xD����^
�S����􏒸I��U���6տ%�o/�R�[�48�&�zd}DA��ߝ[�;�!�����1N(��8:���sr�v�ǚ�~uvb���5qIeʢ��9xPm8��
�~�q�p��w��;Q�����(��&L#
+
+�b2
��ͩ�єN6�������J����0�n�̏��Y7���
zkp�މ-�Ş�|�qy�a��u������.,�-��
+�����o2�e�4
�O�X7u��͒D#�1��� S����U^!`��j8؃��]O'� p�a�
��j���덞kiݴ�#5i�臬�-H����
�����


���
+Z(�x�F�`ʟF�uK�C
Ξ�$��#zœ��n�W?��c�,�()˨��p"ɟ<���-<
p��E�!�O��,^=��H,��w����
Qmm����kz7iI� ��0J@ڳ-*�8�>���(
"R<LV�n���e
+��ˊ�<�p
�N�U�l�1,Q!���0=ILL/��:ݍx��)�O4 X� z{�>�d��;bP�QΥ����1��H�x#�H,�׻���F9��]�
c��j��
N�d�ŏo`�@�z�=�� �*k�S�5A��
�T�3f���3ȪY�	h�Ht��
/֥RG�߃_��N<���==�ǘF.��
���ղ��8l(=j֍��]I�f]'�
#vO�����a �
��'�%��1����Y�Tr���ɠ5L�-��8��h&� C{L�&DŽt�xL�eHw��\��OS�F����Ԭ�89���I����x���#Z��
��b�6��t���
]���z�
+�
!$c�
��b{Z�:�q��<�z�cI����f���J���}�Xq^ ���L�FČ��%��L�r܃�=�H
�.L�P(T��]�2ak��<�`:��g��8li�E�����j at I�9�Y+;o��Wi��?�h�����6v�I+Vs�b5����dc���#��=����&_��M�
�D�M
�
eq�c�h�n
+�A����Wn�⣐7�e�p	L��Z�
L>;�m͔��ȿ%=����( r_C���
|C&~�we��N�/�2�;�o�:=��6���]&5	�$k\�eRCmv�h�G��S�
��J��ё��
,f���I�x[7/F�л�%6k���v�j��"�iگ�����
+N���~B Jͧ��@�
�|`�k�
+��Q�ɡ䰟�,����
�ޡ�����BWt7m�lad��tZ�)��ވ.���c��n���}��,ztӔ�����)gF�^Nd�kRǼ�%g�*�Ii�븡	��#��i�����o~"�*4gw B�;B��
��4tM�'�����OR^H���4+"���;x�%
+
�cOɔ�g�)C
��8�n�R�^b
|�
+:Ww��e���Mç�Ɏ��d��j!���f:��o;����D�
�j�e��O�]}+��za�p	(ѝ���.�o<ϯ<�4�?��<w曒.�o��w���Y�Nn�M��焙H���	a�kсX�P%;�Y[K֗Ija�\]��ŗ3�:���
�	���Oc ��1���3�)���^�Y��J���R��������

1���#�.wU��`�2�	I�#al� ]7�K{	�x�i��A;<�F0��iS���]`o\sjޛ/���ѡ;3ƴ ~�.:�
�b�;��;M#���
���������d�%��&�V��/�
�[�i�%.YPi�.�jT̗aV�:��
%
+���7j�BS0�*� %���xofG���
VP�R</ol36 '��q�b�B����c�Xt��9�I�["X�S��k�S�?�5^�g;�ư�����s���:��.�
��q�h3"��	�z��-�T)>4C��u��v,��
�i/!n��M����o�Z6.V=h_j���
+�I��f�Y�w�<���ٞ�endstream
 endobj
-1810 0 obj <<
+1789 0 obj <<
 /Type /Page
-/Contents 1811 0 R
-/Resources 1809 0 R
+/Contents 1790 0 R
+/Resources 1788 0 R
 /MediaBox [0 0 612 792]
-/Parent 1801 0 R
+/Parent 1786 0 R
 >> endobj
-1812 0 obj <<
-/D [1810 0 R /XYZ 72 720 null]
+1791 0 obj <<
+/D [1789 0 R /XYZ 72 720 null]
 >> endobj
-1813 0 obj <<
-/D [1810 0 R /XYZ 72 544.035 null]
+1792 0 obj <<
+/D [1789 0 R /XYZ 72 544.062 null]
 >> endobj
-1814 0 obj <<
-/D [1810 0 R /XYZ 72 405.596 null]
+1793 0 obj <<
+/D [1789 0 R /XYZ 72 405.639 null]
 >> endobj
-1809 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1788 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1817 0 obj <<
-/Length 2411      
+1796 0 obj <<
+/Length 2386      
 /Filter /FlateDecode
 >>
 stream
-x��Y[�۸~ϯ��Ib�H���C
-l�-vڇ�mh����X�,���A���=R�1�8�(���yD
��w.�����wY~#�(������0�M�"�0��g�A�x���� a<#�Q���h�o+���T�3�$Y�(_�ְy�yetT}W���Wk�&Q����ڬT��qh�_E��&m�k����p��j�͡
�ժ��3�� n���Ac�����>�W*�
�<j�-��͚9_K-�N�؟N���i�!61�n-2�C�N��Ko���B��I䯿 �O?䦴H�̑�����4x����ŕ%2#JYG?�B�'p�Q_ќY�(��9���C,��"s	H������u�4���B�þ\���ثr�
���v�G4
�'
—ޢ���LT�!�fdJ�
h���
-��ɮ��I�}?Vu��>��#e]�+/�-��O��8�[p}&�S��\d>�>�q6<dc�Ag�٠d�j�W��)f��t��x��_��~���F�{\g���m��rCz�ڲ?u�%#��/q�13=$F9W���l��mD�ιWZ��8�~ߞ��t�� �4x^�����-��HY��g��0
-L��iɎ	�
������c��x2�2��[�
x�烅i&��q���W��/_�
:z	���M����<F
�j
K�H>O����o^W�s�]�l��8M�x�M�
,�"��逿Nm
/xyð��(�m�
-����~�ʡ"��[�q�3��I�[o�'g	��#{� P��L�-IR�l�w��b�]�вV��6��4tm�Itj���!jpkw��zp>z
:�7�8 �TH�&�W�
�pS��q*΄C��z��2���p�+N�A�P�g��Zv7�*\���������P
 �<
�=�Yk0X
�3��
JG::2��-OO�"�I�v�
�H�x��������<�͏�X�7��Q��+h�
��,'�s%��A7"��<�aH�>KD��I��"��,3@ƍ�1�LWn��s������Vmӿ���lR+H�
-
���*a V�Bh��
5�_��T
-#�H`��[��A�(����'�ib���;��94 d����U����x
������N�S����)��.��X^�k6ww��i�
%@ƣ�����6�Z����#��(x@P�}>��-��?��_)f!ciJ�Bx�\(u�U�d��Q�])b���\�&��O�p8+B��E�h��v
R$W
��#^ʺlp����Hq�C���g��}[�S����{	�&^*
-'B�*�P2����Z�-����"G�x�+>S��))#��)!�
�HY�L S�i����,M�W�4�C��lZ�E��R�p�T�D�A+"�|�ϒ$�y�(�y�\ȓ��`��D	�oeD
�k�:�6K��xM

�4��)(6�[�/=
I�r̼:/�`��$�/<�v��D�H
�	&�I&�����?��P�({2��[��b/�!�$B�.�{
-�y
-�
�T��S��gK���V�<D�3�0�O�J`��)�4Q���ԩ���ܞ[;@lr:<s�r��]%&^;X�BH��=1<�K$��#�&)k.��(���g
(�
"�X{
,�d��]���ƒ문�
����4V����M"9�%y�8�f;���\��\u:�
l�Ǻ��$��4ޙ:k9G-������m��0l10��+���ˮ��V+�P3y^��'����B�ƅP�^l���o!�##D���3��>�0'�O`
�ɴ3hX�ۑ^9Pr
w��qv��2�6�Z� ���~ޕ#k_oC�<'����;X9�¬R_�aXŻ2
�H�ϻ��o�$
#==a�?P,C��1L�j�Yfd0
-􁦥�J�w��5�P-�S�k� *�5�<��йx���.��x��i_<ڔ
/O��

F������bH�fM�
����
�=ױ��G
R
�m6��xZ�X
����J����V�ނ^ 9�{vER�l

�b>Q"���V��r~f���<��룻ݥk��\h����r2�F�A�<���}||�@���E�8
\-��t���[2#2	�_ܧJ��2,1�(mT��m�z���TO�w��`��\�=����{
T-�1
}[[F�ɬK�nx�c�3�YV��Hf�;�=��8=눸�G�y�,���HL	pl�t�cg
����,z
�;e
DE�=���;Lsǒ�
JJ��W5d�0�h�ڡ)�����3�&4%!#m˔�@-
k��0��j��pUR D��!)���/��NR��,��
-��������{�^�p��L}G�����3���J����'j,��i��} �R��+�'�@	#�
]o���n��ܥ�
v)2�^
�7�0p�� 7Ϲy!%6�p���/~
�H^endstream
+x��ZK���ϯ����
�)q�=$�� A:9��,���G����nZ�t
�oOY�H��ݝ��A�D�Q�*~�Uɿ�y��-W��sf����^5�isUW
�4l~\�$x����0IO��+}U�Nݒ/�����!ҩe�j�h����z�y���׎&x�
\]�\)c{��O�ԯ]�zq������+a
ζ�Ӵ��U�;��{z>
������}��iG
�wqIl��v#�����\��M��E;C�`����d�S�8͜�7��*]���b�#����W6g\J2��������N�%ӵ����iH�p�kΈ�Qf?

/��E��곜J�:�	�C��vѓ'�;�4W�*�nEq�)��/3; $CV��P�֤��gZ�Din7 �6tI]
+
�=:L�|
�ـn^�U
+���>O�Z�;ǿs��{��M�Y��rb>ᖜz��ƈ�_K���&�ʅ2�iԬ�EUV�T
]�U�� t�V,7�Yk_
+|���X��&�J;i���=�@�
�?Д��m��é����[2Jҵ>q������Wp�/h����g)K1kЇ�m
+�����P<�S���=Hgk���u��|�V�n��߼c�>�|O��m�
#�cgJ�����jR
+ͥo@

�&x����Q\��~�����~ph��P�T� 
-/GDf/q�V�3�X8��	..g-m�T�ɩ��H% ��
���P*�b����=��-(m��y����q�����GX�[����)�� ��
��ΗU�(�	�	+��fR���k������@o���
+�!G2��c�<��ae���LUliWz�:QGڀ���K+��t,%�+$n���=ϱ�4L6�N��0+r*��x%Q�x#3w��	���6�̶�?A�.Ҁ��[��-E�2
�=���w��aR�Qc�K�
+G
"�Q�F�UYx)�E�E�K9�!��ڜ�
�������m�sk	T2a�(K�w8�`�ur��� ���5iy��!��5�T�'!OP�
��~��\	�h*㟋��բ��6�64��N?�
[���#;������!�;
+.���Zl˒%|<M�p�:���z�0/�

+��
V y���X�?�DX�cO�HO��
�3O}�G>̍|I�$�b��x�"�
��a����ה�	�笠�.��Y�h����2_
�B]}N�wk���!����I��Fw�ۉz�^' w� 잖t ���1�䆟K�q��7��n=
��	S�l�ע�)V0Q�g�������l����S��c{���P���LAK�
�m�������9ڏs�h�g
���dj�<�
R��nO������8��j��*3f�F��֬�<��Hi���݂
��Q	VG�^�r`��uҐ�5�)�/9U��as��w���T�
h=�mɚ)89>��˳����>��k��%�h�֩b
�԰dyɸh
+�0��R�V��uU���a�4yJ��4
�#����_
���=����I

l�I�#D6���O��Y� x�&
�C��v��Y��'p)�u� ��~�U�ʎ��Ӈ
�B�)��T��U7:��
���-w	:
T�� J�b�j�2Yv$�F�l��D�\���Y��-+m��
�I�8�M�!)٥!
�3v��&l)<�8�{J����7��
s�Q�������	�f�0�}��z0�
Y�fs�̄L�V��#�|t�񰔱؀��Iͭ֋?�8a��$'�����`�[��%��5~�Z��5��
*O*?gX.�>6/Hi3]��z()N�\A�P��1�Ŵ�
��ޏ/�A)=��T�l�*H�5�����'V����3U���#��ϯ>2
+P�4�eR�yCsi�.��'
��1�Ӥ
���v
8{R��C
��f��=gsE�ZE�M�r�
��ہ1N�+�x�g���(����a/��&�`i,<�T
G�t��O�F.�1���f����(Hcꄾ�R�#�H5j��>� H����=ph
+\�
\��zzzbi�@��(ǚ
�$�.=�, �������{��5����d�(�}R�4�-���I�)s��Z
y��rq�������S�b����U�0E���]��
�:
N0�*yɫ�RD(���X��*��q.v�
)+�b���N��C�?f�Y���U������=�p��^��f���}s�{�f
�w�x?���!P����P�?fV�pz���H����4��m�h3+�J�ʼ�Q�k(jC<��:������4�4�H����w�:���X5�8�_,�l�W���a�e#N�a�>����~��׳Yx}}�;����㨨��
+��8z�-�
�M���o
^}���S�endstream
 endobj
-1816 0 obj <<
+1795 0 obj <<
 /Type /Page
-/Contents 1817 0 R
-/Resources 1815 0 R
+/Contents 1796 0 R
+/Resources 1794 0 R
 /MediaBox [0 0 612 792]
-/Parent 1801 0 R
-/Annots [ 1820 0 R 1822 0 R 1824 0 R ]
+/Parent 1786 0 R
+/Annots [ 1799 0 R 1801 0 R 1803 0 R ]
 >> endobj
-1820 0 obj <<
+1799 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [275.357 310.508 547.367 324.455]
+/Rect [275.172 310.496 546.763 324.33]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.lsa.umich.edu/~bbh/optmatch.html)>>
 >> endobj
-1822 0 obj <<
+1801 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [275.357 230.255 547.367 244.203]
+/Rect [275.172 230.251 546.763 244.085]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.lsa.umich.edu/~bbh/optmatch.html)>>
 >> endobj
-1824 0 obj <<
+1803 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [321.022 112.349 705.937 126.296]
+/Rect [320.792 112.349 705.12 126.183]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://sekhon.polisci.berkeley.edu/library/Matching/html/GenMatch.html)>>
 >> endobj
-1818 0 obj <<
-/D [1816 0 R /XYZ 72 720 null]
+1797 0 obj <<
+/D [1795 0 R /XYZ 72 720 null]
 >> endobj
-1819 0 obj <<
-/D [1816 0 R /XYZ 72 399.52 null]
+1798 0 obj <<
+/D [1795 0 R /XYZ 72 399.529 null]
 >> endobj
-1821 0 obj <<
-/D [1816 0 R /XYZ 72 283.938 null]
+1800 0 obj <<
+/D [1795 0 R /XYZ 72 283.946 null]
 >> endobj
-1823 0 obj <<
-/D [1816 0 R /XYZ 72 203.686 null]
+1802 0 obj <<
+/D [1795 0 R /XYZ 72 203.701 null]
 >> endobj
-1815 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R >>
+1794 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1827 0 obj <<
-/Length 2812      
+1806 0 obj <<
+/Length 2702      
 /Filter /FlateDecode
 >>
 stream
-xڝZIo�6��W�a*��)���!��	z2H�= ���R�4��.�Rm̟���Z\l��K׷��Q����w��H)�4�|8l���8����ѿ��VF��Kl�{��h��\
�??���;e���N)!aG\�ku3�Ӿ��a�ә��>�h<V�1n��
��Ne�����Ͷ@
-J�v��;���6�N�xj����.U��%�l��JY+t� uHU[�����c=xЙȬ����{�n�4�oU����@�X���Y�����.QF$q��I-�6��o�
�\��U
0.���O�`���<�m��-�a�|�E���r�f
v6��A�J�i�'%�h�e��q[�d�& ���37�{`3q*D��S�z���	�`c�e&({}���d��4��eM#B�Jc�6����g��

�)BF���$A������p
�=�"_=w������a��j{�W
�8�'g������,���a,��i����|��RJ�����g
�E>�E at DI
��J2�RҢߐ�P��O7��xƁ3���i=?�!��f�qK=�؞٧M��/yJ�z�\9R�3�Ѷ�
�	��q�p����|^&

`�L�̾b�;�%D�l.u���TD���V�
,7h
疄dӻ
��9$[��Pk�'�ˑ�N0=
e* Bz���Bk�k!�����p$�+
��1Tj�xz�:���
������H��!�Z[!�W8�L� �AJN�� 6�z4��M����J?��
-�F��v at E���q��JXHi�Oq����O�IM�)�Zc�Ĵ�b�ʂ漴`��f:Y	������6�1U�lh�|Ϣ�h1�Pu��itZ�����n杪blWK�]=�D{�
k���k{��:9�0��+��D(�7�c���ty�p�ɡ��)�ڧ��
i2��,��������."�-�$Cw��j�����$�]�͹�=��I
�O�Џ�A1{DC�K#^]8�

�
N���硾���j0P&�D
�6��k�
��5�����W� 5�TFk�ũ^lwV�ѻ-7d�G�/���$�S2c$��#/�*N��g*r�cR�1$��	0`��
-����"dvD�o���lx>U �r��Ka��v�d��	"�Y�
�S���F
-�y"M�@�
6�w'4�S�%.F��=�}A�e hU���lE�M�^���#�:%O��S
-�K����`��1E����m� !m�v��2LF���W�ֹc�kױb�?��k#Tl&{��e1� �?�����B�HeV.��5ͮg�!�K�����2�~qnޣ�
%�[߀����x���f�#y��?������-�\��Q�~
/�)H�ADňW�Z���0p�U�;�+b�u��!On�����u
�+K
6
��҆���$�|tF�&�d�Vݶl��=���}�`%B�J��u9�'}7@`�&��1�~��s�
!�͕ ���WX��m(�e�h/����\�U���޵��f��'��f:89�C��i�w. Z������kg�C5N�
(}1Z���� ���
~�~
|�>�1�LR�.�J��W:���\�Ka(ħ��Q-s���
 "���"%��᥁W�
��pg΅�~Q
�
�J�5�C^>��
-��~�4.�c1��B%��w
�9��s�tFN�Z��N�2IH���פ�e�i��&]K6�'Kڗ�O�3��c��Łƺ)��
RT@��Х
�;�;�1���B%$���ķe5P�Q:��-W�=B�|NV9P_��_[�_�Af��;�
���t|�{X
�9�A�

�c.Og1�ۑ��T�/�d ���s�d��8�3�?�P��E��#�?l�e�} ]��OF��żI���tҹ�&�3
�[�|�q<9C�e2��,�
^�l�{
-��r-���!QQ���\�t�+ɋbw]��	�>�v�Ȑ# Yo<��?�=(#GG��|�����$�I\fr�����\
�^�
���BBGk�vvH��qn�*<3�%��
�f��7�Y�3�������h�F�S��$�
$d��GQ�9R��a��4R=S�� �`�G"�������9�+u��4�J��Ź}�$��$�����x��Yc?z	���e�M
4�X�'��"<gN�0�pn܎�[\})JWIc��O�J.W\�EZu�i�ܔO:\�(�����>Y0���6��?˯���W�A���<�����|��ם�<T�:aZ�P��-�w�E1����r|B>O�(|
-�˼<
p�+^!���o����Ľ<h$3
��7S���uW&��w���:��$���z_M7v!��y�5���Z�If����?��Z}�E��ٻR͕MM�ʵO=>|�� A�A5�t��u��
�]��q�$w|9����:������
3��b�
�v�6��31�����
��-^����; g=uJ���|��fN!N����v��������`��
����L+
-�������~S�z����
�Z�\dv��*��,���d�7o?ܠ¾��Ri�A�.ۛ�7�o�7�槛X$y��@;2�7�
ԫв���i�
�c�;����`�È�Tӧ��
-XL���la��
��b
�M2_��P����%Z&T0����?|O�S0t�_W�Q�-0*>l��n6�iv��g����}������*q}�L�2`�և��?�ŝCPjRQ���C
-o9� {�#�BW�t2exG��
S9̽{sM�j8.#(I�� �<
-���D�J���#Ho��dm8W9=����ӗ	*�$����]��~endstream
+xڭMo#���_�C1�� =4�.� m�f�)��A֎�.,���,�����#�
qdkw�g8����"�s��k)�BJ�Y�x�[x��M+o�]�c%��G�s�ڛ�V�Yn`�?���7?|�Zu�f�VJH�	�?a^�;��E�{ϋ�aX�M�-�ǮY�V�[�r\�v�	�_���Q��Ä=��uە��~w��
�q-n�;0��GD�Y����%r�r=�{�]HO��L;
+�0�h�典�#/�Oτ"~�FL����@��@d ��c�k���p^��rB[�XK#�q�%�{˿�zʘ��]�$	bG�k�.�⺅�GB:'l#Fh�dŌ29�kߊ�H?�m
+�ljL�'�D�l�€�)�����Z��/�`o���W�b��o��ϊT.�5�	�d1�	|a*6�E�A�9��i����
ڑ G�}�m65�Ӣ�>Ǯ�@�#0�	|
�:��H�����E��>��3��0
�к@�ho4n82{s�O�r�=��)��m�e���#�יo��c�w/���yO�h�uRv������l��_I=Κ,:�'�O��>�y�W!��4n;�ӂO,�5Q��j�!�k?�v�'Ӑ3���%�gmn�����
���Z�=�>&����~#Qm�T�:�Q��Q ��*i��f<�F���T�OFH

�Mp�l�t�I�c
+��
x�}U�Q��Wp�@l҉�)��<K��$&�
��̼��3է�Z�1�9�s�N"�
��5`�i�œ �e���iλ�Qu�
�9��a�u�pJU�2RO~4�K�e�&8ڮH��l(��>nXxg�|H���q���0���/b�ߚ)��r�G�>�
��#�\��?�o��� Y���^s�H{T���ᘂ5E�uJ��p�w�0�{�!�iE~Q>�4�fT�v��06
+���|�E>�2��(H8���e
&�_�:$��R�C�{��;
w!,
���`��`1�s �	t��Ӆen
��m�;՗S�ժ��`]J�Nw=���
+T�A�*V>�$؛�먎b�����U���4��#c�},à2�aWq7Mk�
TD��weE'U��&5l����\
+�?f�1����^�5d
�#�C�5��G��4IB�s�s���9
����m�m�i:T�S�!����䱊9$HA�5��Pw)󵂤��L��
*N(f���'n�D�7>�=N��;cqe�r����炃����cOVqx��{�����ܢ����I�6��C�H6�J�t)�!?@^nF>߱4��
���[
I$�W��a��[E=�&˄\��9
���o�B��y��m`M�$���	�l����
p�S
�$��S}��!L.7ɑ��{`J�,�֢8��yQ�����A����v���ޑ����4
Q�Ȫg�d��=dEՁ�9�S�u�:y1����.���1m�p�>b8��_�`��q�M���;%��u����ȷ�{UK}Z�l^ta�`�D����+�֝nE�ڀ�ə��m���9�~��6�a���8>�5�1���.x2��5�)��~?�0�(;�,G��f�/RY�(�e��hU��I��ꄴ'5
���/�I�
��;�ѶI�7	V�mϴlX��6���^h�	w%�͈��g��'v�c���
�V��tUT:�e��@T]�ffD�u]MTY�݇-��-И�hLz�_��!�UJ�Mc��u\
�g\sp�։<^�,�S���w��L!��[���Ju�|
�?�h��k�9��׉Æ���ؐ*V���$��jh��_�i��\d��3�����-~��bʀ[SǍ&�g�1����q��_[
 (k��� �:
������晤�&��	+�4��nitR~��G�F��@��j�"6�9�r�����hJ�����$bT�zXz3�:U�Ρ��������@܌ҽO��u�xY�5���8(ă�k�۷I�g�$�ۉ/�<p�ȡ%pC��WS=vB�K^�[V=d)WydH��t�ǻf
t%ü(f�h
SA��7��Ӯ R.���3_r�Ȉ�Z��d>N��(��|���nͥ��ФV6��bwEq_��qj�=nl#uU
�l(d�w��QD0���rkC:/�t�FY�r���L�c�j��

�g:
���k
u�V� 9�]n����=w��g��ϡg����z�w7��o�d�ΜU�Se��Q�q��BkB��8�|�g���U	�

ڎ�^x��RW�� �ɣ�H�2޳]��ޗw;vu~£��+��_)^�Za�Ϩ[�]��	i�Kx�gr�i{�omj���u!��I D���+*{��^�����T�8�P�~l�S!#���K`��ӊkM_,鵵n�K<��.�o�ٱH����&r�,���C�i�*O�
I�#s������]H�/�
:i,������C�t�b��V�5/L)
�\�����2��t���%��
��՛+l�5
���2�$����W���,�_5����v�ύ�P��d��������W?%8kj����
��A��Ƴ� [...]
+$G,�7�Jk�
+��U��K�^__K���`�'��%^�k2B��n�,�x���O�V�;*ɇ��F�	�3�}~��<�	s������o*�B�B��>V�����V��ÿ�v��'��j��Dc �WZ�
"�Ǻ�O�endstream
 endobj
-1826 0 obj <<
+1805 0 obj <<
 /Type /Page
-/Contents 1827 0 R
-/Resources 1825 0 R
+/Contents 1806 0 R
+/Resources 1804 0 R
 /MediaBox [0 0 612 792]
-/Parent 1801 0 R
-/Annots [ 1830 0 R ]
+/Parent 1786 0 R
+/Annots [ 1809 0 R ]
 >> endobj
-1830 0 obj <<
+1809 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [167.643 668.111 174.368 681.903]
+/Rect [167.505 668.127 174.228 681.846]
 /Subtype /Link
 /A << /S /GoTo /D (Hfootnote.10) >>
 >> endobj
-1828 0 obj <<
-/D [1826 0 R /XYZ 72 720 null]
+1807 0 obj <<
+/D [1805 0 R /XYZ 72 720 null]
 >> endobj
-1829 0 obj <<
-/D [1826 0 R /XYZ 72 697.999 null]
+1808 0 obj <<
+/D [1805 0 R /XYZ 72 698.015 null]
 >> endobj
-1831 0 obj <<
-/D [1826 0 R /XYZ 89.933 125.798 null]
+1810 0 obj <<
+/D [1805 0 R /XYZ 89.933 125.798 null]
 >> endobj
-1825 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F48 554 0 R /F78 924 0 R /F79 926 0 R /F29 672 0 R /F32 668 0 R /F7 753 0 R /F8 551 0 R /F65 557 0 R >>
+1804 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F69 550 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R /F7 749 0 R /F8 547 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1834 0 obj <<
-/Length 2349      
+1813 0 obj <<
+/Length 2359      
 /Filter /FlateDecode
 >>
 stream
-xڽX[S��~�_A�j����օ���a`fa	�a&�[��jc����$?>��-�X�ڗ}����9���9}|���4N���R{���$�K�T����r$�jJ��B=K���}�.]��z���4�7V���A $�����F�0H��Q�z�+��58���ts�����νУ8�����
�GI���
��
�J�+k8_cx�i��F{�$Jp�P��)N�/���_�0%�??���¾�a�
�n;
���z����⡗�j��Z/L[C��r�UmV�r4�㘦��Ζ5�M�M��

������PX���."�T�7�����V4�T9
�`��%<d�~S�
-O��`t@<
6O��]�K��W3S�jJK���%�lJ>���ahE�,��R�GK(�
�@�._�b!i""�5���m�:<8��<<�0�'�~)ER�sb:�ŗQi�}��Ѕ�Y�tơ
-�:���a�h�8�]�PS�V�r.�-��p"l�|�
[��ھ��l�k�n����3����/B�q���e �.tK�"@��t~��z
or�7i�Nl��[8���6X륱��
�B��ᝁ�M�xu�3R L:@�A��:��*p�'v�jXkA&�Xm���2D�o�/�t�E=�}�&���_Y`.�"ܴ�h�p�Q�x�*�XV\��7�����Tc�>�
���d���{�����{��P$�]i��#I	Eg =(�ӳ'��!�ak;g��G@�q��	���ܨwHq@�7D�e���Fޙ�B�}!@fi�>�.�l��!������Zb����|v�m7�5���?3a^��
N���tK���ɲ��o՚z��-�C�� ��JD��*��������3�޴�]�Evи���`�P4���I�l�
�A�0�㈤������v����d�L�8�m�#^R�g
-�j�e�v*c��B���8	�J��r�I�d�%
�������:�̄�Pt+lRQ�	A4����
�y3�-�
�"��]iG���#���}v���f�h�a4�
L��	EI��f��1(�
,���n��[�z
-�S�e9�������q�UYL���(
��Vs�ƴ<c������T�6Ѷp�&����{�&��cgg~�"7`~B
�E;�%*
k֜)���:�pr� fj��!ͬ}J�
�rN�
�;�y�]x$3��Z���sz�J�z�?�ӑ�3 ��]}�,s��.��t��.O���ͷ�6�;|o�f5�턂��k��~]
}���VNv5y��ǻ�6��5�I��#[+�P���o��rXmY�:�O^�LՋY�ſѩ�~�Ee��	��#�`[����c�����
�p }1s4v�&6���°�
e*�gm�i��
2���͌�3��cr��*	�J��=�+%���x
-�{����_��(
,���A�*�J�;<:���:8�
�����c;�[\3:f1La{�4u$����)�G	��+�C�ذ��
�
���
y�.�32v����/�Y�
G��H�%S���(I

Z
{Z��p�e��sp(�T"�Gݮ1�
ob��
�k7�n��pl�a&T䤲�bv�4 =�X�d�!;/DȆM�U�;'�XDi�%�Ρr
ܭCu�-��rW+�5�m�P��@��|��H��-�QF�g�u�ca�mq�̋���}n����M�eF
�G�C�'�w.JC�C�e�����X&�nqx/�hEFJd�Z�
x��UN�š
�a|�
�L�z��lB(�3�' �X��
-
�2]m] W[��Sk���6�F	��#H��?��Ј��ʸ�0B_��]����#����A��X1Ba�
�R}M�q"������*�\F�!�}�[��"�S�+�B(��� �(���
��C2
�t��3`m������p�kL7�Y<�D/P��u�� =R��SU�
�2z��E!5�?��
��6M��KoZ��o
-�}��Ϙ����4<tM���	�7��3\a�.\����|�J����F�B� 
��
-C���k&�9
s�{�R*�>����6�BS�F��)B�.L��C��0�̍��l ���k��#�ۿxA�������\.]C�OVC�["�����ԍ%p�-�_�'p�+��(�x���<�q��t;J�g�k���P���~
-�$U<s��(��^�}�3k���:��5���glQ��}�ۊ#
ue��q/m(ۧ���AL��~�S�
�&޻�����M#H�p��D�h�+��硈�6�
���Юǔ4B㙮S	�P�6Ӽ����{���Ҏ��i���)Q�}o6���3���%�@��iJ'���c�����5�:�endstream
+x��Z�o�6��Ep@{2�fćD)@q�f7�}����n�-pJ,��:v`�I��?�3áL9�c{�^?(&�!9���<�<
<9<��
H)�$9��:�q&b���IOFsxf=-��	��Z��~Q�~
�:<Uy�F|�WJ���/G��Vi�2���~?2�J7]&Y0?�"����o���iT_�_����&RX�'|喿�)<e��!
�'=w
���oSa`���Bg)M�
(�$�)Nb�S���Xxൄ�C%Y��zo
^���l4�ƄD&�\�DĂk��y����[��Z���~y�s��QVUk

�Hn�w8cH�����[��SG�
�}���"I҃�4�'�;�/q	���k�����6����:�9)��� �엸�\�6�
+����è@�
+y�
k�b>�ԓ�^G���=�wVL?U�.��,
me+��M�f%����9����-��H�3x�K��3d�F�d8�x��y�J�e�Ȉ������Ȁ�P/��W�
��	U�(�ڠk����\
z�<r��g`�ߙ�u0�:<<���[;�蒏�
DT�f>��cIc��դ+Qܒ�vD�A��?�0aD�
"��8p�G���[��v���w���á3U�
���K
���,�4IJ"��uk��!�_>���i��2��
2W���4 ��V�cv'�n44a��5o���z�� +y�{^�pݚ��<���)��><Nð6�8����Q�'������4xgcَ����ǿX6L��:�b ڧm��-'�9��� i���
+�F�乍�Ī��kT�6��_���k�o�dh����-#���}K#�#��%�;�Q�!�KG�a���
�������	O�<>k||G�%i�V#�|�Qq�jc�L5D
ɖ�j��5f><�G���.�I�;/���X�Ɛ[)�XX����d���Ӈ�hG����R�?��>6eyTz;
;��KL��x��kA�x�a�Fs�1�?)�rcdA����~�x7��w4D�4�dҙ
9�3A(�
�Q�&���J�������m"�S�b{�u�A���oͦHp,�u?�dR� ��`AWm
R�[�;�JL}
Pt�'�4�Usā�.]Aã��{oV�ܓ¯�Fg����񂈮\��
}ÒZ��Kf�
+�v$

	��_x�����Wn��@�����F�;�������g�K��aK�nЋ�'�y"��[��d��zl�_p��gx���2N�]��d�E�/^��
+�p�#^�k��=V'�~w~�Ki��&��1@��
��9<f��۔K��`1}@�

�vy��y.��O
�A6^�
��8R&q�X�$�iG�R��2iL�'�Wl
��ܑ~�
�d-�"�ȯ.�˛3�Ҡ�˸��w�X���m��x���
�$�+��[٤ܑMj�	
kv�U`ĵ���<�m�d�T2s�$p�J%e
\�@
�Gr�(aY�����B��!�w)��������.��&ɣ�x�$�΅���~Ǽ6��e*�Oy����U��W��ﺼ�Jd2�ۚcp
�u��6V#����餤��I�*���cl)�oG�f�0R7�),�Djۉ�%�v�z����悥Q�?h�4Δ�`Ǜʿm�3Po
�aPL�� i6����,���H�M,C,�"۱�sa�[����}�b@::W{�0M5�9pȪL�����2 �����~�	/fd
72�^	���޵W��E�+�L�w
A��[>Z����R���Z�Y at IO1��ڀN#��p�=�6!`�]~V�D䍂��7A=
�G� ��je'>�
n]fN%gEx���aos�_U�>�~�Q��\l'�ܚ���~�(@�=+w at M��������� �%�r/�%��<8[+�Y�y�q���Bޖ�e9h�.��;`�g"k>�\u�
+QX� *T[$nf ���E�b6t��d~
��U�0's�B����/>ɉ�5�\�j��b�w�Q�=4ra�v���b�#�ZI�b��v]d�!h��]�Ew���gg	��U�O�bj�J�	d0�[Z�W<C�d��x�����a�v-�4��wK	^��,�
!-ʪ�nH{JkLZ��%C��	>�@�!�M�*͎9�^8
&~��/ry�C
6���n
��
���8��;��.g�;Љ&�Q�dZ�ɣ���%��
+��5�9���]6V���]4�R�hгI�׏H�d�M1�J=/�"��u��n�#G�-�~�
ye�T�]�~��l���T>�]�
so���-��3�����;jLeAȹ�r�r�?\��<�6��
_W�C�)]Zwg^j�@�dIA%�[&��
h��/�k����U�?���'��s��J��#Ii�*v
+)�<<�
�ͫ�endstream
 endobj
-1833 0 obj <<
+1812 0 obj <<
 /Type /Page
-/Contents 1834 0 R
-/Resources 1832 0 R
+/Contents 1813 0 R
+/Resources 1811 0 R
 /MediaBox [0 0 612 792]
-/Parent 1801 0 R
+/Parent 1786 0 R
 >> endobj
-1835 0 obj <<
-/D [1833 0 R /XYZ 72 720 null]
+1814 0 obj <<
+/D [1812 0 R /XYZ 72 720 null]
 >> endobj
-1836 0 obj <<
-/D [1833 0 R /XYZ 72 700.324 null]
+1815 0 obj <<
+/D [1812 0 R /XYZ 72 700.334 null]
 >> endobj
-1832 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F86 1221 0 R /F76 747 0 R /F70 642 0 R >>
+1811 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F158 1216 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1839 0 obj <<
-/Length 657       
+1818 0 obj <<
+/Length 681       
 /Filter /FlateDecode
 >>
 stream
-x�uTKS�0��+<=�3D�d�n�mf(��Vz0��
��D6
���P(�Ӌ�ڗ��v��ۓ��"�eim�m"��4��rUH����.�T�w�i�0e!�e8�$��NYeT��J�7
��t�^Ņ�~Ϛ�j��&m7��+A��Uo�;��֊j�F�W!�f��\��ml��@�����j�F4
��u�sim-t*�4#hS��Eb2�YŅ��O蹼��sb�,M)�X��jI�����4 �bcE��.�[5�v3?e�]y?�}�!���
���gO�̲
B�l���i�,�L
�h �*(��
y@ڠ�E8�
-o��J
-%:�Ʈ޻�
h�\�Ɨ�b�2E�}����ҡ�l$�Y���_p6�yvD�̝{�~?@��R�cS�W�ט�?"�&.f��q�)���
;�b�83#�(ef�M�=5
е����Ԏ04����Au��u��LI����s�u��@�E*V�O�e�38��m
�7dž�!l
��	��&�Z���w�Rьq��0d=�쉸@5�f���5��S:�)�M�
�W||s?Q(���؂���P�x�A���r^퉈
�a
�;��`��d8�:��F��g3�u�ȉw&�+�SKS�q�g��G��=�
q{�V!���������2��[6������r{�%oEendstream
+xڕTMo�0
��W;�@�X�d˽%]�-@�Cs[wp
�M��E�f��GRt�|
�A6E��#���b8�Y��̬
fU�"%ub�4r22���_�P�����e8��c����l�V�˄�V
�\"�U��I�� ��o1J
�u*�@Xp�Go�$�;����;|ס��s���}�@w|���6^���Z\׌8�J����4P��6	�Hc�
�#�c�P�Q蔘]��	QÉ2�Ǻ52Nu|Z�UV9�k#QW��>�^��uI�]!(�?�k�vѴ�|���FU���z�3�+�6Zj�rXamEȌ
ۄ���?�p��u��H��`���ȑ�/�0eW�
�X,�ݳ��6;!o�/%n��v䡜{�5;�q�{E�|�]夆j������9&��251�����ҵ�#��z�D7^��Y�\#�$�F��!�V���D��Vy��5�+�]&�q{
�A��[ۻA�Uˮ>� T�]]���=/ł	!���T��(��-߾<]���#������'o͐)CNL�?M���q�i��{�`~�$�4
�ߜ�뜧F�ӄ����
���4W`�Rx��s�{��
�G%!3�Ch1�K�\��㜋�Q\�
�� [...]
W��|���l�9��/��
2�N�+��0`�Yţ'F�����_j���endstream
 endobj
-1838 0 obj <<
+1817 0 obj <<
 /Type /Page
-/Contents 1839 0 R
-/Resources 1837 0 R
+/Contents 1818 0 R
+/Resources 1816 0 R
 /MediaBox [0 0 612 792]
-/Parent 1841 0 R
+/Parent 1786 0 R
 >> endobj
-1840 0 obj <<
-/D [1838 0 R /XYZ 72 720 null]
+1819 0 obj <<
+/D [1817 0 R /XYZ 72 720 null]
 >> endobj
-1837 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
+1816 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1844 0 obj <<
-/Length 754       
+1822 0 obj <<
+/Length 1221      
 /Filter /FlateDecode
 >>
 stream
-xڭV�r�0��+\9�U����p� T吁
�`ƞD��
��nK
�)g-cki��u�~�כ���DL�T����B%̲/!c
	��n>��kz`��+�����b�
-F����X���&O�<��da�/
�j�έ�0ٹ�2<�q����Q�9[�����ei���-��Sd���Y�Q,	b�n
�7ޚ��GÅõu�\����Ü0p��?�����
ȕ�R��k�(�؂Cn $o�� �'I> �lq= ��¥
-F�ν�v���.C�b�1=0�����&we�:���q�}��e��$�	"���O>
-�s� 
)M�?B�� �&�� �0�puWEʍ���Ș�d��
�;��N�X1	��5��~����,:�b����\0�B�

 r�dƁk��B�0�T�<LQ-�LP���~*�nsW�k�d�ꮱ���z��-c�˜, �%�3Q�ABV/�����žʷu�=H۱s'���F4����)�̓A9r,�a�H��4�,�d�*-�
�v�A@@��?.��9Z����
S�>oU��^?��QC����/�qp�T�m���D�Ƥ
c��%h���&]����@��/���3o^���:߀�*�v1Wn.��
�p�Qx�E=g@*��
�
Y��O���gȪxHV��fƚ3�
�������q�8{.���4����L��C��'���n��eaZϩ�h���t����@�4��p��"�.l����0�k��v�C���D������_,� endstream
+x��XK��6���Q*F|��IдhS���=�q��Z�����n}�䐢,)�"9�@��
��o���ͳ(3�	�r���i6ӕ!����ςΩ��������%'Z�Y�w��A��T�)k���������_m᧙�\K��YqvN^-�n��¯�dz�6��gU#{
�ZGs�6��|��(��;e)��+[jJ����)”�:�8��W*jw����P{�R���{�"S��0�����L[%
Bٗ�5�[�W�z�
�6���3�=<q� e���$`���v�§6
��|��	�SX�9|
p~�� �いկ�f �K!��1�߿���
��ИN�z
+X^�17�����zx
���R��_�{�S�N^���p�vL�
��
�YkbdWWliʹ-�
��і_A,R�#�<d�a�7�������!#ةT�u^��5�Ѐ��@��:�ܲ���9�>D|NP�r���
u�W+��E����#�Cc��D[�>��N�� ܰ�Æ��%��ȼ��Iu1���
3�tD����E�7�w"
�%��T�!��+0�#��
��
D��4
�TI�)���s+R87OH���Oe��&w����~�ncU4���3
X��W
6M�.1�SO�	�{Ta`l�J��U���pkÝ���?m�Ҏ /�jea��[nV��@0��&i�.2��1�a.�(V"�~��%�`�&��a4oJAt��1�����p�w�g
+
Ф=e&B��d�ϫ4]���?lR)���o���8�4�� � oc�Q�xŌ휃��0���!�ҧ`%�b�+l�<���u�V1�cP�T}�v�b�m{�c1��mk
\�
��,~�%���2	�Q��
2ȌRpjD�GT ,Dt�wx�]�
4�C�M��)u���7+o���R�T:Հ�
r�Q0��׀�ŏ��>��tin!h ����:���z?�2-V����Hɾ,6�f��
� �/��y䤒M,���\��K�I��u�=���F��&+�4�.��|��}���e��.=�s�.��m�(4]"�bh�c�;�M�� re��x�=ݫ�4�z�U�TW�\4?��
��盾_�C�����|J��G�?�.q[�x�6������}ase���,v�P,�<^�#�[z�l��~�o~xH�$6M��$1M�YA�ON��co�����V��ZC���|���s"܆�׋�� 
$�endstream
 endobj
-1843 0 obj <<
+1821 0 obj <<
 /Type /Page
-/Contents 1844 0 R
-/Resources 1842 0 R
+/Contents 1822 0 R
+/Resources 1820 0 R
 /MediaBox [0 0 612 792]
-/Parent 1841 0 R
-/Annots [ 1851 0 R ]
+/Parent 1832 0 R
+/Annots [ 1830 0 R ]
 >> endobj
-1851 0 obj <<
+1830 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [162.05 393.757 188.105 406.708]
-/Subtype /Link
-/A << /S /GoTo /D (subsection.4.1.2) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [277.38 317.191 463.719 330.134]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1845 0 obj <<
-/D [1843 0 R /XYZ 72 720 null]
+1823 0 obj <<
+/D [1821 0 R /XYZ 72 720 null]
 >> endobj
 302 0 obj <<
-/D [1843 0 R /XYZ 72 720 null]
+/D [1821 0 R /XYZ 72 720 null]
 >> endobj
-1846 0 obj <<
-/D [1843 0 R /XYZ 72 671.714 null]
+1824 0 obj <<
+/D [1821 0 R /XYZ 72 671.745 null]
 >> endobj
-1847 0 obj <<
-/D [1843 0 R /XYZ 72 618.373 null]
+1825 0 obj <<
+/D [1821 0 R /XYZ 72 618.436 null]
 >> endobj
-1848 0 obj <<
-/D [1843 0 R /XYZ 72 565.031 null]
+1826 0 obj <<
+/D [1821 0 R /XYZ 72 565.126 null]
 >> endobj
-1849 0 obj <<
-/D [1843 0 R /XYZ 72 462.873 null]
+1827 0 obj <<
+/D [1821 0 R /XYZ 72 485.244 null]
 >> endobj
-1850 0 obj <<
-/D [1843 0 R /XYZ 72 411.856 null]
+1828 0 obj <<
+/D [1821 0 R /XYZ 72 400.054 null]
 >> endobj
-1852 0 obj <<
-/D [1843 0 R /XYZ 72 358.514 null]
+1829 0 obj <<
+/D [1821 0 R /XYZ 72 335.287 null]
 >> endobj
-1842 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1831 0 obj <<
+/D [1821 0 R /XYZ 72 279.658 null]
+>> endobj
+1820 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1855 0 obj <<
-/Length 1417      
+1835 0 obj <<
+/Length 1320      
 /Filter /FlateDecode
 >>
 stream
-xڭWM��F�ﯰ�
@Z&�
8�*�IVj��7��9�l�������}?f0l���^`�y�?�y�uu��.�2:I��"S�,�E��Ū�H�@(|�����ۻ,
Q�Z��"&Ҧ��
�C����F�4K
�0J�	��e
��
#�aa�0J�
-~k�걂��dk����m�ƽ��

�	5�E�Le���-o��oQA��-"��<��Hfb�5ٴq��,
��4�K�P�Β��G]��6?�	ޣ%�~�WWu�X�ޣB��E���p�
-?�(��5�Be�
���E�t$"�0�v�'�I
lNͺ��%�z	��8��.�}�{�#��{��`:
��S�Np�
O}w�:X���Pe�}�T͖i�]�U -�qI� (Ty�(��E�En@�T�BКm]�:

-t�w�����yW�Q��Oֶ�}�eG�4|r�,p\���
->��<CEAV&Y��2����
=�=�m�l{ڗ
��;���
�C=��S�К�h�������!�ų�$H{�D�s8�̿c��iQ�݌+��T9�4X��v�3�O���N�s�#��
��p9'8��H�`���P�
��U��V�5�̌P�r%F�J���,v;��iwL�HR��� ~T�Z
-�I��[�&:�����%�HM�r-
! r�1�ǐm�
ti
C�X�:WP̈́e�
�W�PV�#��oܢF�p�eᶦ�0���v�S��#�*��="O�W��s{,$D?�'={@eY�r6�
!+e�3�BM���e���ʼnz�t���T��r����#[l�q�
��ؠY��jRK�R3I2�/&�"���+0w2!�9㫅w)��l����8�1�+���c*	�{
-\l�)
-�ߤ�G<�#~^s5�
-����GЌWh���-X�aÛ��[�t�
�Q
AR�E��IYн��vc�"+{_�X퉔p��u�$���K�$�1
->)
܄�O�_��5b�2!�?Hg[����yg������a�T̴��C�K;�E�	�C�Y���/�~���S�+� ��
���\ܾ�/�B0\��]:����iѻ�-5t)���
-������/add��M��C&�DG���=����
-�=���hG־�k��?;�����������X�Y�
-"�.�J1�u�~�3)>GT�2���p�	,��g.ƫ
ܰy�q��'�˧�k>���tC�we��nFv�c%�e>	�����+.Z�M�Ű��k�#u�y`
-=C�L(�����_ƸhVaN��A
q
�M1T�
��A
Tq�rcd<�Q�x�ZW�%�2�e���T�&4�9��ٓ¤��*	�p��UG>�>"^64[�Y)�.�>hE��:�yr���Q�y����0��~N�O���ӽ�̗��p|@
��w[�}9 
츶���\�1���9���V)aH��RM����5��O���endstream
+xڵXK��F�ﯠ�
TYc�KW.N���+���y
� *�� ؍�����#� ��0 ��k��u������4�
%�d���j���H
�-�ʙ�%`�ٟ��@����j�gz���jXX��X{X1g�)��4�9?̒̚�Y�;�gXIK�U��;��Z�G�:|�δ�hp�h��}�2*VS��N;�;I��D��,��։֩S��O��>̴�k�Go:B��#��o�Z6�
�:,�%a�&**+I�5�,�ȴ;0wC�%	�
���RBڜx��N[��b�:���aN�.����,�X2�
��1p�%�U�bG��X*
��Ȥz�h(R��>��m���t#��Es\�U
1��$�F�����{�O1�t
+���]hk��
0��$�p���e1S9�M���cj��l���
R�s��z�(7�I>苵�
��"���b;�y�
+!
��{둝��
#ǐ
+���3
���<
���
��(rQjy�bG��s4��ڔ�q*�N�SPZ���\���a�
��XЛW�
@�p�0�b%r�_PѰ}��1�d!pG���]���7��e�Q
Q�
O�0�$�WF��9GӤ��
+�K ,�w�
���P:q.i��Lr���:/� ��t�Tih��
ں�� [��efmW>�|�#La������KqC	O�l�;tN������6�.���e;����;
5�9�ޠV Ԫ��
�H�􀤊� <x����j�`p��m�x���
�t�����]s�
���
Ɯ��c�	x�n&�؏��CԆ�g��,�R�]�
+�ߛ~R�Ѣ�U
��	mM�.�V7��i[���8�����U�"I_g����X�8��w$#��c�ȹ0Z1���&+ajB���ح�שS�bث�t$�(�	g�*�H�qy�Ӟ��M\:P��Ѹ�^
�9%���_�l[F��^�/�}
��O���q��E�}pr��@;V���s���
l�pi�+��L[���:�I����XQ��)�a�\A1qk�;�+)��Fۨ}^��/����m�����'����l���/5#�G�|S����e�cݓQ�6�;��e��
q��
wi�a�Q�zB���P@H�5'������zdw���D��~	��|^}���{���\g�6~D
�]�0F�(e��	rq���`洘�T�iمF�OG�z
to�������xp�{�{K��U��5�)��
0������������ۦ����ʺ�y|
���
����Xdu0�
��(�;xL��
�����=>���}p56�B����_cJKБQ�2�7�"�����?��,�endstream
 endobj
-1854 0 obj <<
+1834 0 obj <<
 /Type /Page
-/Contents 1855 0 R
-/Resources 1853 0 R
+/Contents 1835 0 R
+/Resources 1833 0 R
 /MediaBox [0 0 612 792]
-/Parent 1841 0 R
+/Parent 1832 0 R
+/Annots [ 1843 0 R ]
 >> endobj
-1856 0 obj <<
-/D [1854 0 R /XYZ 72 720 null]
+1843 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [277.38 266.382 463.719 279.325]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
+>> endobj
+1836 0 obj <<
+/D [1834 0 R /XYZ 72 720 null]
 >> endobj
 306 0 obj <<
-/D [1854 0 R /XYZ 72 720 null]
+/D [1834 0 R /XYZ 72 720 null]
 >> endobj
-1857 0 obj <<
-/D [1854 0 R /XYZ 72 657.9 null]
+1837 0 obj <<
+/D [1834 0 R /XYZ 72 649.828 null]
 >> endobj
-1858 0 obj <<
-/D [1854 0 R /XYZ 72 561.22 null]
+1838 0 obj <<
+/D [1834 0 R /XYZ 72 567.626 null]
 >> endobj
-1859 0 obj <<
-/D [1854 0 R /XYZ 72 507.879 null]
+1839 0 obj <<
+/D [1834 0 R /XYZ 72 514.317 null]
 >> endobj
-1860 0 obj <<
-/D [1854 0 R /XYZ 72 442.416 null]
+1840 0 obj <<
+/D [1834 0 R /XYZ 72 419.989 null]
 >> endobj
-1861 0 obj <<
-/D [1854 0 R /XYZ 72 270.187 null]
+1841 0 obj <<
+/D [1834 0 R /XYZ 72 334.798 null]
 >> endobj
-1862 0 obj <<
-/D [1854 0 R /XYZ 72 145.944 null]
+1842 0 obj <<
+/D [1834 0 R /XYZ 72 284.478 null]
 >> endobj
-1853 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R >>
+1844 0 obj <<
+/D [1834 0 R /XYZ 72 228.849 null]
+>> endobj
+1833 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1865 0 obj <<
-/Length 2101      
+1847 0 obj <<
+/Length 1768      
 /Filter /FlateDecode
 >>
 stream
-xڝY[o�~�_�2sI��-v
l�3@�v�M
�Ud��V�2�<q�a{υ�ő'�>�"�C�\�s��ǻ7߼��+������U���
-i`��g��J"\���o�%rB�"��+Id�5=�%�N���J;�oWk�e��U�=n*��j
&&��*3�mi��+^,���Tfc���J�֫����*�
/��[��"�u�T$Ru�ֱ�)
�'8�UP�8*a���oS�:�
!a�
-���w{;jb�ё0 �&T�AF���ٱ�Vn_�
9��Ў����jm[\�m�/>�t�oZ\f5�0

-\C����/�z��X��:^��=-^���ǩ�;��T�g�AQ��i,d���0&&h7Ї:�u�W�%���	��xX�a�ԝ�
��6��Ă-�!�+5t�/O�pZ~Z0�7����:RƛF��i�{�jq	�A�(�����{^�`%�᥏��	�q��k����x��&�7��{d�\��

 �B0��Eu���<���b!I' �x����
��Q"�7���܃�Xd���2��f02����9�<
{�n��6���}�4v�vh��S�8E$Q�6�"��!�P�8���Q��3���g�!��ё��ccԭW�i�E�!�er!xĈ�Y
;�n�~r���A��E��
�PY6��W)͈8��k�xC���L�+�G� ����9N=ad,ܤ���0Ɏ��n�/P�	HPP�Xp۵�E�֡0Q�j���v�
-Z�Ҍ�{�Yg+�-��������F�O�������~f?�l[X޽(�6B��E�X�BDd�zr��ђO���3�m׏Ң��b^hvN'7���Ă�����f��{Q
٫�Q4ct�U��9��5qT<ɥE�s�b�3��yh:7"5=�ȑi����J�m�xp�
U6���{r����SJ��.0�
٫y�
o~Z�L
-��/ ��N'�FIܨL�I4Cv�+`���s�t at x�39
-<gVO�c����
<.�lED��F
-��/k,�T�K>�(�_�M�I2	�����I^��F��������x�GH�B�&�9C��s�
\�ƅn���L�Ќj�'������"����w����i�U
 L�����˪��{TR���r�CU,u���OŒxE�#���ٔcBg��)�
��>G�N��X�a�,U>�
s�%�l'����� �b�~~P"�`��/sf(���A��uA�FY������|M�2�����g��Z�Y�T�c1�U��ݐ�2)W���1�J�{��{�Ju at 0-5�x��
-ct,Xw�2�/c�0
���Ve�j
-Z�L��WC��;��?���,p'#f��
;-.Ϋ\A�I]���
��
w���I�D�4�W���]�
��d��kM���q;k�
HUQ�sZ}�S
c
�� �I��ˑ)�7Tq�q�1�ϫ���x���ѱs�V�|+���7��
-)7�+|�����6C�C�_
@��X�F�I��&��)?���+>,�<�w�ȯ8ɝ��*'�����L�0��'� I����`����
-v��O8�o.h�E�LB�j3Ɋ`��
^��{9
��C��xC�C�
R;����C� ��eO�ba�cM\��"֢�������Ƌv��Qp����;�99~�h�r�E�l��o���Q��������
��M�bgX��[w8R���W��m%JA��`	q� ��䙦[����	J�Tv��ݷ��8�b��
������v�=w,o�

��05B��� ��;˳�ry"3��n��z��߽P�abR�/WU�_*Q��*B �]��Pf3��r��/(ZK���
����
i4L���_
:d�_��u*�!���z��;�{eW&��թa�M�:j��Z
�$�_�4�~|a;^�ބ�~������/+��1�wA�
�r������9~�ms�J
���}8{
we]T��
�/�6G�*d ���w.T��Y�-�@������ ���gA��
�/�+ppЏ���b�.\�v$���六.XM���k{�
v��Hޱ>c�a����
�p�X<�?B΀�.�����X�Pi��СSL��	�y{���[�eendstream
+xڵYYo7~ϯ0�>����Gz �"M���-��A�W�Kr�Rb��w8
rI�k�u��;C�|sr��٣'/��'�bR����I%O*^3����_�	|<z���O@/ˈ�(V��#�5P]���gC\Sx�ę�T
+�hA�OGc�4ů{l�Yˋ�XU��}��]G_�d��S˶��
}�.��]4�K�6R�YߏJUL�.
2(�X�*�OƲd�lP���Ξ���^���D��l�
D
��	S!�٥=<�/J�����%'�UF#j��g�2��
 hLqa�^z�'�5(_+ C���C

*nI{!���Ʊ[D��
Te1�۬ݖWޤ�a���""9��3}l�-'�J�RU`(ʹ.����[Z��­i!�aiK\n��ؽ�w�m���_T����_�`�!!?�s�aO��0
����x46B���K��������	�!kLp��XD����>CD�#-��gX�*���n��`M� �I,|y��.g���0%ȯ�i�)�NK�!r����Dr�8EO�Ș��9PY9�щ$���
l�g�p�A���3�d�GU�����mHoT��
���-��ux�O�5�/��s���{�sY�ie��@�ܒ*�b����� 8�4/EE�q2$���d��%�̡e�*U�j�b�d .%'�p�S����y�
������8Yi�A�8�
��}

�H�n����w�!�C:]Q����vJk
[P-Z�D)aѕ�8���IDwV
+�/{�EU��}���� \�`
���˕G����0�[u)<��LGJ#��V���~�M㫑�� ��
�:���;N�pB
�*��@Cq_ ޑ̓X�9* ?v�5gCx����@�7�A"O&��IZ��`3q���#	���I��aQ?*^�'����xQ��]9Qn��>�PZ��m�Q�n>�`7l(�
6��y�:ުOL�N��g�&�[��a���
?�;X>�5W��q�W�n�x1S|���%���Y;M�
�h��;"�״o@��̦
'�~�p��`u[��7.�e`�{]j��ᬑM�%i�TX
�	YrU�^(�E�n�&o>� �&ېX����ue%�l�N,�
�E�W�~�ս^Q3#���*���˙C!i��kV�Im�
-V�R
D��|���rΝ�Z�epM�Y����~84\d�(rf�kfj��a��s��1Lq���G`IB�M�X]�	�{ن:�u� �2�}��e~�n�ߣ��RG2��s��惝?5V"
&�r�� ]_��Ǯ�K}9�8�"?��4�
+up�ܵP6
Mp"���m�l�bTKoY�����������~�MK
�A�YYWG'`�
+�ߚSw�h�
뵷ܖ�_� �L�����������R���O��]�TŤJ����`���ś��0;��O�K"d��-�ˇ��;�y־~��ھ
��cT
�"��_�v��.�������RjV\€���;�+�M5i�Wv�P�ԫBɅBt>�)������e�*�Mz`·M��K/���*��'�X�M��Q�y���w?o��>i�>��)�#��P�̢J� D�Y��i�h��P�u��7uz���&��P����d:l������D
�M
`�
�Y�}��6j�����d
�`�n�A�E��x�K�s��C
b��+�
���I��Ы�72�8��yG|v�Q~8?N#�1��b�K���C�B�^����IcUW����h����%�p^ѱ�&8T.� \͙R�l�0#U��Ғ?����Zbqendstream
 endobj
-1864 0 obj <<
+1846 0 obj <<
 /Type /Page
-/Contents 1865 0 R
-/Resources 1863 0 R
+/Contents 1847 0 R
+/Resources 1845 0 R
 /MediaBox [0 0 612 792]
-/Parent 1841 0 R
-/Annots [ 1871 0 R ]
+/Parent 1832 0 R
+/Annots [ 1853 0 R ]
 >> endobj
-1871 0 obj <<
+1853 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [177.398 319.537 194.348 329.831]
-/Subtype /Link
-/A << /S /GoTo /D (section.5.3) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [248.807 205.294 435.147 219.128]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1866 0 obj <<
-/D [1864 0 R /XYZ 72 720 null]
+1848 0 obj <<
+/D [1846 0 R /XYZ 72 720 null]
 >> endobj
 310 0 obj <<
-/D [1864 0 R /XYZ 72 720 null]
+/D [1846 0 R /XYZ 72 720 null]
 >> endobj
-1867 0 obj <<
-/D [1864 0 R /XYZ 72 671.714 null]
+1849 0 obj <<
+/D [1846 0 R /XYZ 72 671.745 null]
 >> endobj
-1868 0 obj <<
-/D [1864 0 R /XYZ 72 604.418 null]
+1850 0 obj <<
+/D [1846 0 R /XYZ 72 603.99 null]
 >> endobj
-1869 0 obj <<
-/D [1864 0 R /XYZ 72 551.567 null]
+1851 0 obj <<
+/D [1846 0 R /XYZ 72 536.234 null]
 >> endobj
-1870 0 obj <<
-/D [1864 0 R /XYZ 72 361.546 null]
+1852 0 obj <<
+/D [1846 0 R /XYZ 72 252.616 null]
 >> endobj
-1872 0 obj <<
-/D [1864 0 R /XYZ 72 279.804 null]
+1854 0 obj <<
+/D [1846 0 R /XYZ 72 167.426 null]
 >> endobj
-1863 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1845 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1875 0 obj <<
-/Length 1302      
+1857 0 obj <<
+/Length 877       
 /Filter /FlateDecode
 >>
 stream
-xڍV�o�6�_a�I&F�D�ʶ��h��+,F�a�#ӱ�r%9m�~�E�^�a/y<�����jqv����Ui�d��fR$s�d�[��ԛ�)�}�f:�,Na��{�Ń�
`SÁ�z<ͣv���|��A��\\��-�#M�$6�ʒ��
-�{�2������q�E=����&��ZT?|�g_����PJ�~�o8����=~A�f�N"욓]�M;�?��� pi�
��G��[
�8G��Y��2�(wנ�<U���
�R���{����v{1�!6�QE��vLQOa�`�qsw'��^�K�7���w
|�)E̘d`���X�Z�����k�u~���OK> :��n�!ޭ�'>D��1�)�Ro1�S֞��o
��*~�2V
�� RW�Ǔ%F�r$�mY
-ڊ���OBъ�O�;`L���B
k�uӐ�I|#6��
`T�i�Eftm�{�{#I:�?��ۘ�ר�	|Gb��A�^ꜷOx�u=#D�6UI���=�	Q
��7�5&��3�?"t�݈)�d��5��6���!R�����P�T����A[���YR��@�
6H8�����B`R�t�q��� �<��i0��������P�Fi���n�NF
-VEb���M
-=ɍ����f'��S�/�ܪ̄� 5"
��
���!i��Z�"�˝_�$�V�+=�ɝ�����F���*kN���	Ս��Z,�Vm�
'�vf��#�(�=�����*�kRq�h�؎��YE�n��%������m
�_s	�8� �46���
�����Xa h���
��E�~�j��4K�w�{b��[������c��g��E�yG�78�h�+�v]p\�,h�`�����
rG:ԕ�N���
�T�m��%�B�<B\1��3�Q'nz�9$�?<M�|�yO�[�'��Os�Z��0�K4�6,L[�x�6�F�$EN`�	U�$�7�<nt�Jf.�d�<Fm��܄'��c�_�,�'�3����,L)Q�Cst�3G�pcN
-(@c�F��d���5ٻ�F�,��d!����)�w�C���+ż�&
�L�KKG�[�f݃
r"1�Pk�L�|��f ����'��r 4S�喐��sY^0��!��Nڈަ�CSn�C&l����<Kd�9
-���q�LY��
��rfl��
�xl"�'��Zj[��2�
c�7e��'  �E4L��j�@�#�)s��B̀��|
e?.p�f8��J�c��֡�����9&�Zj�lh�RA'8��m|��zd�8��,Ţ���T=��4���*-���F�a� �F��x~�fq�7��endstream
+xڽV�n�0��+��d4b�H�U4��p��T F���k˱Q/�e;v��ɡHZr�
��@$5˛7��vy�X1F�,���H�H�.�)�F_㻲�$Bf�u��3�
+d����py�
ώu��s�2����S^�x�Aۙ���RM� �fa�Ȣû�'3c<�1�p�~o;Y��Oѩ��qiY�6��
��j��f��5�%�=�/���9�`�������
�y�5�qu)�DT�7�ȇr�)R��r��0�!{�1�Q"h
%,%i�kW[�%��Y��ɜ��ZR+(r
[]A��d=����6H��$�E�C�;I���̣��I5=
+J$Oр�ǠW�
"����Z��ê(�
tS�sF����Eݯ�p������F3��
Vx��op
T���A��О���j�q��ab�͖��mk�u/+���B`C����
7���(\}�B;� �6E_ߖl�8�h��
��pl�l�QqT��\�Ϲ�S�Ȇ�~�]j��0��I�IZ0��t0�y٨�a�$��n��
:��<6�TR��9ޛ�R��Be�
8�
+}u�z,�
��N>ۮ���]���^ܮ�=?)�] ���"�Y�rH�Q��lL�h�8��p���ᦼi6�^?#��ޫ�����
`�
���f�b�zM�Z�%���ΟzǨ2�u�66�O
C�]�0�ؾD��=�=��HY#=
�;��S��pM�p)
P�)���� �*�zaV��;
[�3Cv�,;6P���i(�S
9�N|���!��g[����CsB�}Ks��
���+�gA�|�<��0��.����Iqx�h[6n�2��w��M���o��}�8��[�=V�n��k[��}�K™�g<tSa�1�E*��^��=i�jendstream
 endobj
-1874 0 obj <<
+1856 0 obj <<
 /Type /Page
-/Contents 1875 0 R
-/Resources 1873 0 R
+/Contents 1857 0 R
+/Resources 1855 0 R
 /MediaBox [0 0 612 792]
-/Parent 1841 0 R
-/Annots [ 1878 0 R ]
+/Parent 1832 0 R
+/Annots [ 1860 0 R ]
 >> endobj
-1878 0 obj <<
+1860 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 481.519 149.085 494.139]
-/Subtype /Link
-/A << /S /GoTo /D (chapter.5) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [274.962 682.238 461.302 695.181]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1876 0 obj <<
-/D [1874 0 R /XYZ 72 720 null]
+1858 0 obj <<
+/D [1856 0 R /XYZ 72 720 null]
 >> endobj
-1877 0 obj <<
-/D [1874 0 R /XYZ 72 523.694 null]
+1859 0 obj <<
+/D [1856 0 R /XYZ 72 700.334 null]
 >> endobj
-1879 0 obj <<
-/D [1874 0 R /XYZ 72 445.944 null]
+1861 0 obj <<
+/D [1856 0 R /XYZ 72 630.259 null]
 >> endobj
-1873 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
+1855 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1882 0 obj <<
-/Length 1792      
+1864 0 obj <<
+/Length 1770      
 /Filter /FlateDecode
 >>
 stream
-xڭXKs�6��Wx|�f, >:����3�t�
�95=�sJ�*I�տ�> 	��Xvr� ����Ç�߼y{��g*Zٳ��Y��rYi�k�W��L%�������U.#A���,�$�u-�-��״
��fZH���O��)��z6W�[��~����W7���I��B�B�J��S�M~��]�U8���~�����@
���!J��
�+eE���:�`��zT�a
�mIe�a:�TH���8���
�s��Fd��
�J>K+�&t�Ry�]����=+�/Pw�(*�ǎ<��� �d��L�븵�`�
>�(�,h��1\�4����1,߮�(�9B?��ya�5%��c22���{4���
���qhX��+��5E����|��h�
-��}d�@��u��3P���e���X��X�ko�9Ő,�B~�dp�j7����{���
y�q�����P�7��1J� ��R]��V�d����W5J
#�Wd7��%�i߼ء$�j�-��ݿ~
ٵk�'�
��n�E48�#1�Q;
-J/h�MI[9^����h�s�Em�{gy~�����H�&(�D�wnb�������V�w�� tΆ�'ԨGf1t=���s����#��F}E�d	���r��xꃹ4�	�
}eX𞋢s-ן��W/r�9��V�0��v�}٭�4���_�À�m6��g
k��P˥�̴��.�E*M��M�]���nzO�3ky
��60�x7�x�P���>^��j�1��
8WʒJ#��}���
��y_z�@�i���d�Vh�'���2��Y�\���
-��en��^5;<^�{�j�jp�rX����祤#T7��4߳��m�zI~�,�u���>�s����~�9,�?KVӇ�%H��x1�����!����',"-,: V��� ��
w�\�9��tX�����5"�^�YF�Sg�L�q��B�w	v�4��\�<���
X��;`eRl5#��-��x�;�
�\��	x��Y�w?�՜��'&8X�0W5p^��)�ػ�|Kӓ�'
-
L�v|��_�.Iy(U+��E�|â�(� Z�Y�=w��X�
���A��/y�[��s�2�x�ߣ-j�Nޣ��;���E���V��3��ò�,:��3��g@>](�hý��*Р��45�
�W��&<
�!Uy�XL�eH�/&�"MGZ�sZ ��L���T����@���qnZ�w^$�:R��)6t�I�K	��4���ߨ�փ��S��
O�6��jF�B*�¨
S1�@p#U#�-ݪt֐�2�a��e^��å	�
��
��؀��p�w��
l�B'?�h
(�%�FJN_Q����ᎫHIX�/ 3�'|��/}�����]�Z�>���������&B��8���n��ѽ�+��%����*d���B�`�1�o�q�w˹"ݨ&�d�(��sY���
-M�
�9
O�Op�!�G�:��V#rK�`�X�	��<-���]�#t="��ubhOG�mC�4HO�x�E�
�-���"m�_Ҟ�H
-Y�{H'4$�����e����e���>}��1ˣ�
�)���,<�u�.�[|s��?5�J�
T8Wj
�[��}�/i��WJ�&����iX��KP��G��O��R������_�"
��eo�:
tn�u��U�U���iu���n/lV����`�C��N�+��:7/>�9c��]c���r��!��#�j�s
�^�]8�/������>\�|�'�K�okk3���"�5t�
��B� ���j	�a%�Dz �7�)Lh� ��j8�GO�%
-��p�����\endstream
+x��YK��6��W�T"V|H�
+�'Т@�t{j{��r֨�Qk����ΐC��(˛M�
[�p8���^�=��-�j�5�\�mZ,tQ�B�����/�y<��ϳ��^T})���0����g
�
<{z����Ng���e��&{߮�
,���"k�\j��b����V��eL����ʼ��5j��ъ�
V�ٻH:$�%�J#a�y�t�����#��٭���qE6W��h�����R��g(V`FO(�uy��
�fE���꒞���g�X��n}�
����
Ny�ں Ư�
D�vP��Bg47���g���b�Z�N���ikW"�7�"ל	pWL��bG���*�'��EY���i>�<��I�d�W��~$�
_�G�sE:��m���z����N�d��Ѿ7�:��T�"�i��G"��
��
 )��~�ӱ"��
�x�ܙ���Ƴe^ri^E���Z�|�$��a�a
3���t���^�m`Lt�sx�����<�fO���J~�����W!*Uk"T:|Y�>%?\�=w���X�X�oȉ�?Iw��!����� w�ވ�x;�VA��Yg
��$Q�cQ�Y�xv.�� Cßi��j �x8��c	�`�=<xP��L�d�K��J[����xiӁ��߱soQ;�@Z��t�{�l����eYzk���3��aT=�Lb(.m��I���"	Mr�1�
S�WG���t��:�Џ�f:��h�v����^�=�YS)TM�RUG*���C@��)/+A�PGK'���
��ehRݍ�y aQg�Y�
�s;�q|�f˄G�����!���+�ȿia�cȦ��:/�O�%��U� .�We��U��&�Ɖs[��Z
�23�e
�����T
�ѻ
_�r�
RQ���������V�}H:͍�N.j�l!�Ɣ&
��C%����Ɩ�w��e���0���m�~K8{N�w �����ԑ
� TH0��9^�[
�k�g1�mhP
��7C���ڨJRԔ!͊4Lp1�X����x���]�f�|h�r�8�9Cԅ�k_l^����(�}�g	]XP�
+}�
>F��
ͨ�����U@��Xh�K��mՐyx>��e��M���E��iߠϙ{,��� %)O��4�w���H����ۄ�|?p�N�g���
�
���C�z
���[��
G�ݹ�ǺƤ��\�NUc� �j9��Lb at Nb@�T���#Ub�
�T�(
�8DiBB"�jVTe�)�A
%2�Sd��y(D����ܧ,�uf��X��Q��7����8�6��}�`�;�g
+k�8��,��`�,��׋�?
k�XǰV�cm�7_k�A�mꮿ�.��~e�^<Wv���ҠMRRf��Ơj�!��*H],^�����1;���/�"�ʒ�
���D����A|2o)A��7)ioG��D����I�+>��L%=m*��c�����.���T�]�y	�"x��{9G�4])E5��
�}]
�w�S#4��c8~x��{����J�M{e��N��t(��XB�v&�/gJV
ļw��ۑ�H0��+��v��f6�|d���9��Da��oM0�ُ�d��`U�*���kΟ��uBYY0-�W�
+�5E��
n�py���U�g\I�\�y�:�.��Եm�OZ[aOI���
+��	��9����	��)��w�l�
z5
Q׹�� 3�T����z�(�"�� �	~�q�J���q�X)aVWSs%CX�0�����+�p����5R<ys���1�endstream
 endobj
-1881 0 obj <<
+1863 0 obj <<
 /Type /Page
-/Contents 1882 0 R
-/Resources 1880 0 R
+/Contents 1864 0 R
+/Resources 1862 0 R
 /MediaBox [0 0 612 792]
-/Parent 1841 0 R
+/Parent 1832 0 R
 >> endobj
-1883 0 obj <<
-/D [1881 0 R /XYZ 72 720 null]
+1865 0 obj <<
+/D [1863 0 R /XYZ 72 720 null]
 >> endobj
 314 0 obj <<
-/D [1881 0 R /XYZ 72 720 null]
+/D [1863 0 R /XYZ 72 720 null]
 >> endobj
-1884 0 obj <<
-/D [1881 0 R /XYZ 72 671.714 null]
+1866 0 obj <<
+/D [1863 0 R /XYZ 72 671.745 null]
 >> endobj
-1885 0 obj <<
-/D [1881 0 R /XYZ 72 603.927 null]
+1867 0 obj <<
+/D [1863 0 R /XYZ 72 603.99 null]
 >> endobj
-1886 0 obj <<
-/D [1881 0 R /XYZ 72 521.694 null]
+1868 0 obj <<
+/D [1863 0 R /XYZ 72 507.343 null]
 >> endobj
-1880 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1862 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1889 0 obj <<
-/Length 1648      
+1871 0 obj <<
+/Length 1330      
 /Filter /FlateDecode
 >>
 stream
-x��XYo�F~ϯ0�>P���\Rt�
�"
�n���-�l"$%��U���s�D:T�Ї>X\gg���X�p���E�
h�2c�Wix�s����;��6��G��~�e���@�m;����ы0��0T$��+fI�
��(N�ؠ�57:�����{���|Bz���㭇�����Y���~�5�p� ��\3WYɾ+[�&�

X�Y��5?��¹w��_6%���e�npa�=L�[�Y3�\_[!|�mC�]:r�̩��e�f~
���
��n�
ϾG�|
�*�2\�8NH�6�Co��B�`�]-�HՎW}[�W��-/3�����^ʖ%��k�KR�.�^�,��.�7ɻ����Se�X�}@H��@xq�7g�3�4R�0�R�M�/���0��>��M-N��Qm�V�(���[
�Z��
�-�<�=�EBi+[c���X������u�B"���9�q�`����)�@P��8�㝀F�k�w���+�YP�
����
~��#_ä�
-��w$��È&�eQ��'��Q����cE=�ն��i�n��^�6�b�f���dF_����0>k:
�����,9S�,�M��_t�$Ֆ�,��*#.
70��]5~�鿋~���[ѧ*j�Z8v������v�s�m�J�(Pi2�d��k����R�����	SL�S��L��7��h(��R�rї�Cũ�����[zG�W�7�P��?O��7�/����D��d<9�6v�$�=�nH�n
d~� 7DZ锧��wyE
�~v�I"�ֽ�����Mao�m���ޡ@�
�m��Q�v~Gi�6�U.E���Qh��Ԅd?;�y4
-��<,	R9
��
�UӔ$=�ND
ʂ�}P8`�fʷ�|A���4J��A���h���\�|a��k~@H��~l����� _*Jn*#���D��x~��'(
 ���
�}4 ���m=�OI���r��-�Z7R�)Mz<��_�d34Y����։�
?_݋�8�2=
�W�0Y�t"v�ZTq�����>�-PCRz����F�~f1���a�lQ�Z�3w2��]�
�ߨRb��8!����ׄ��X<r�Tz'Fšۋm~B|XO�'��Hj��O�2�v��+��z!�j�#���2�]3�L�i���ė
)��Q�υN?�fWYy�H�m�ۖ~ xX�
�oG��6�ĵ��{��Z��PjT Q�W�n:�)�s
����?�ެ��*/�u���)J�x
�:������M!=�
V�~�5�,w�f`��/o���cS�蒉K����0fI��Ё㛩���}0)��e
A��`�ˁ�WT9*)0n�����
2��YJ^����z J�U�؎����.�
�eF�j��z��++.�.t��?д~�$
V��5�m@"$��ۮ��	���C�Ԩjy�2(�����^ ��4"�}�6���b�

2^p��y�QJG0��:|*);��d��2��'��x��+�bfɽ�{���}�Z%�:4
}��MyG\Yt"�d�٢�j����*KT�����
7����k��#�kr
�xs|t�A��^�\�8��(��p�.m{�_��Z��ˑ����=��Z>�*]��U��:�1H5�??y~��/���Zendstream
+x��XKo7��WE+4K�\riS�-�"M� ��C�
��J��ai�؇���
�+�D٩��-��j��<�y������s��@)QY;M�
��������ae�z��<m3�c��鹮UR���1<�:��H�,��H.Y���0�*K���f~��x�"��B�ʰ�G1E9
��+�1����P��E�1�
h�����8�c3L3�W8�`�.�����[�s,�U2��#�"���.��&<-*�3L,�4tT}�%M�:O&h
�ڈaj at G<�R��&  �FRe�19Qq\΁�;x^���HlL&��56�ȳ�>�)�Q:`l0
-C�����%�^�B�6�T�'��
�7n�
A��-:0Fs�;s
n�ti�(`��ɉlͦ,9]�<��ɚ����EV2=�'�
!I]H*��<�$�0���6Y
 �" �(��  Ҙ��eu��4^D
F͋��=s�,�
y6�v��lA�)+�
N�]B{�&���
�������7�Ǟ��ɡ-{8o.;a�=a���d�X�aJ��
+��R���
̈́H�g$󲩵H���7����&01ծ
���7�����ў�(�5�-�n�$"�F�.�
JU}�8H;��=4�Lѥ�)eH�$`"i�\��R��Δ��P��鏧
�O;��i�
w�F�n�;��L�e]�m����Š �
�li�h �8���/"��
�d�,���
������f�Ӿ	�$�
��`
X��6-�o�
����
F�_���`��\��m�y�\��9;Sp��� <��)���VR�*�D��>�?�Gϝ5 ��ɳe�VIB�óu	pXN�o����U��ob9�����r�X}�)���7n|�^Q�F�F�+��ן0c
�|10t�k@Ě�G�����Ċ ���'Fh�7��\?uW�v����ÿ���b�`Nָw�`z���MiV�R��<�u�
ZFkZ��~n
+.ö�5}$p��k��z�����+,��
w}[�:�FA��ݽ���o���l������vָͅ_Ը�20��q��ћ}	^�E%׊�\ɏ�9�gF���Ӈ�Q���q�rnxn�m
6#2㭢���R��;�T�ly�
Wu7�E�jC>�IQh�QE4w��ks�˞�
F�r�r��+%E%�.y�й"�I�W�n���^����
�:�e�B���MH��>�3�c����0P��w
ʔaH��{�6�n�+�
+�`
n�=��5p�Z��IgM?q�/�����Q4OA�h�,�Ї2�Qh��1L�?��
���'u�ēV%_�������4pvt�;�u��B�Nȑ������E)��վb�2���N��J�endstream
 endobj
-1888 0 obj <<
+1870 0 obj <<
 /Type /Page
-/Contents 1889 0 R
-/Resources 1887 0 R
+/Contents 1871 0 R
+/Resources 1869 0 R
 /MediaBox [0 0 612 792]
-/Parent 1897 0 R
-/Annots [ 1892 0 R 1895 0 R ]
->> endobj
-1892 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [358.125 668.111 375.076 680.731]
-/Subtype /Link
-/A << /S /GoTo /D (section.5.3) >>
+/Parent 1832 0 R
+/Annots [ 1876 0 R ]
 >> endobj
-1895 0 obj <<
+1876 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 299.411 149.085 312.03]
-/Subtype /Link
-/A << /S /GoTo /D (chapter.5) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [270.171 367.064 456.51 380.899]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1890 0 obj <<
-/D [1888 0 R /XYZ 72 720 null]
+1872 0 obj <<
+/D [1870 0 R /XYZ 72 720 null]
 >> endobj
-1891 0 obj <<
-/D [1888 0 R /XYZ 72 697.999 null]
+1873 0 obj <<
+/D [1870 0 R /XYZ 72 700.334 null]
 >> endobj
-1893 0 obj <<
-/D [1888 0 R /XYZ 72 489.24 null]
+1874 0 obj <<
+/D [1870 0 R /XYZ 72 450.262 null]
 >> endobj
-1894 0 obj <<
-/D [1888 0 R /XYZ 72 341.586 null]
+1875 0 obj <<
+/D [1870 0 R /XYZ 72 385.495 null]
 >> endobj
-1896 0 obj <<
-/D [1888 0 R /XYZ 72 263.836 null]
+1877 0 obj <<
+/D [1870 0 R /XYZ 72 329.867 null]
 >> endobj
-1887 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
+1869 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1900 0 obj <<
-/Length 2020      
+1880 0 obj <<
+/Length 1724      
 /Filter /FlateDecode
 >>
 stream
-xڭXI��6��W�t	Uc!�B�t*�lR��IܞK�[d�Y��I�����-�HZ�X�Ʌ���o�7�oߧv)�P2Y��-�Z�8��^�K$�ZF"Y�v���m<Y�ha�lӲ��e]��{���
>���f�s+��n���&���f���ꚢ�]�덶I�.vH�8`�Dwm�
��-(�b�/E���L�P�~�R�2��m��Ȩz�[5B
��6LC�1lVB]����?��Ϫ_o�-�;<@'����C�6���`0�"
�
�Sև���,o/�
СGu�����ߏ��`!Fy{��w6�}%���
O �@
- 
ߌ(ieX��H�G��Ei@)�H��Y�4�ؔ�T��(<s{�{���P7;

�+n����
�{�{C�q���#�H�sg���{w���{�$N
-&H
1�]]��Eϓ�H��w�D�3��.nh�ؿ�
vr�=��O
�!�
>,�
�=�{�i&�\:��w��r!���5N� #�D�%�w�xj�[��H���&iJƋ��8,��/.Ԁ�X���X�¦��� +Rm.%�
"�I��G��ȱTt�������
]]�U"a4�ē@��vdk��f���/]�
-c�e��0�q{X����xY.�友&��#�c�t�<,
����?�Hm<�̈́����<��y����J�N��4-��3 �3�O���
--�4�u	�\�p�{��8͗�Q"2g����wi��c�K�
�̈́���<
�)I��(ff��
-g��Y5���F0��y�4254C�U�����s%L��D�~��s�֒�[�4���
�������Y&�p4-�
8p�{�%&
n	�?�X���>O�L�/����E�l�Ȁ�iP*1>��,-�[#'5:݆uT�0�0W�h1�5~W��S���U�~C���|�A
�v��
�n1�#��ϫQu9g����OB��5H
���
-��D��� �K)�����
���݈h�ѱ3����ϟ�����tʞ��L��$F}��V'5��+��嶟�ڒ�8fb�����V��$Ru��
�l��u
T��`���|�T�|>s��<9�?
�3k�#N"
��d����d���s�H������7>͎�n�q�‹���
���MՎF;�R��%d����|
ٗs
��2�a"
D%��O�G��>qQo���EŞ�w^*��@+�t�~U2�3�%�ą姀7M�<�u�A�N|:w�K��O�}�ja`-Q�x��D��% ���E �g�� �8�r���8�!�s�]�9�#C쏇޵�?;�C��[JW]�{�2���I��q�y� z�S%8��e���tDǗ���
G�7��8�~Θ�D�>�����D�wT��-^f,��;����*˽���]d� w�����)-�Ǝ@	kȆ�\خ`��%�xF��
������VTR�J
-�FI���&?�<H	
O8J�T�0�U���'�c�";12
/ :�5��]�I�x|�p��k��G��V|��
���Wn����R�J$���ES�HC�xraa᫋��\���
D��=>����	�O�x��I���
-
��
���K�
�e6���ڪ7T���EW}u�B���������Z��\�)���J��
.v���N���Ϙ#�
�k#��W���$�����ۅ��o8�D���
�E��5���=���[-nx�1�!x ؛�)_.4��92Ӈ��MP�_ބT�����.��X}�z���cE��F�da{QR�-]f/v��e��d6���
�{��nQ���y�Oz�{�ٹ�ݻ�1���C�oxЮ��ޒ���h����M�G�QF���<��E��3[����u@<P/�U�/�lŐ�~�Ǽ�e�
m�vr/�To!Er�����XG���� 4�jJ��-qZ.�T�JO_�}�9K�'����Dc�;���\jH6��Z;�z/�s�"��<�x������}g�M�
-�l6�ח
��
�%D}�	jY �50���C�̴H!��h|6�rK*X#����+6endstream
+x��YK��6��W{���� =�H�h{h��4=�m�ƈֻ��$�_�!9��mi7
��z
����E�t���7���L�|qy��b���e
+�6'|����*��\�� �d����R���k��+���
��;��)ع�L�9�\�����e%�ڲ�y�R�d�E�7������U��򜳬��(�(*��U��zo����(�α��KX+ϵ]��жGܳ��_�c*U���$Fc��2m�Vi�K��;X��D�m�A������
+�D'|<�_xU�u;���ߖI�/��mCV�������C�6֧V�wY����
e��W��>.E��7Nj�
+�M�bJ֎+�9��Rk%���E$ '�$C4T����P*yEu4KT"�6�K�eݍ@F��,�5W��l`�
�k_Q�ݣ
̪u�@y@�+|�.�����4��
`���~��h@t`K�|������2J�@aC��})4�a_Z+XP�o:��9��aQ$9D���e���pM�˩ț�_�����2���&�W��?���(�u��m��~�7F�_�����
em�6�0�d�ks�*�#x�\���om��
~ۑ��up0�Ґ�e��re`�B^����*avY�d�?t�Y�ִy��ݳ��x�zUwA
:�
�����ם�¸
�
�p	o�@�^��
��Hc�!�ϫ�B=��.|y�["E
�@A�h�	�Ią6�K<��>�7�j���)�Y�1X�$���*����(U!2k���yjl�{T�s
#~�2�vq�ь�ړ�B��E�lG��h?�ٝ%h�&|j�<\bU��.Y��b�����J���
+�9��i��ܷ�W��ݒ����3S�s���=�֫]9]{
IR��f `�ۧ�bJ8)ǕlBj
�
>��[�/��vM��yq�
��+���{���4S��cB�s
���OVʦ�	S�
��+�u�e������{Ȓ Cz
3�(8+��ib�*��cJ�V�
X)�,
1�Ϯ��یGu,��{�y0sAb��ΌA֦~���r=H��3���� 1���M�����H�)?�K-;�iNBK�3�M�����a�E����}���%��
�
"J�����(b.�2Ut9��7��\2i��`��y��KM�����Z���H�������lcǤ:��J��X<:А��y�EM�	���5*��TV�]�
+��1K�X^"��yp^ xi��yR�֑����I�d�Z
�q
A�#�G�.i�v��2������:��4�t
����E
M����}t�H�3͓aw�?
v2׶s���IF�N�Zw{��i.��+���#>_���v�3}^zIZ�<�Q�y��|�*� ��
B�<6��6������tp����zF��2�
�X�Wha?wV���wT�R�i{D�Y��8=1'G�iz���Y%�O�gG��US5�~#��������l���ί�d5*4��1���'��%�?M:8��g*�ٓ������&���7�V
R�p?�[Q��R%�=۞3V�˸"�F4�l��Ɲ�̙҅�� W�i>m
��e�w���]��\��'l���OJ��l�a��|��e�3v1������
ĵ8��G����D���P�'�9
+�϶QhD�
�-Aw���3_� ��2����
�Ɇ���qu-e���st'��,8מ>4-����V������R0hp���m��̠���
�E��X�*g2+�gݟ[�����_O
��endstream
 endobj
-1899 0 obj <<
+1879 0 obj <<
 /Type /Page
-/Contents 1900 0 R
-/Resources 1898 0 R
+/Contents 1880 0 R
+/Resources 1878 0 R
 /MediaBox [0 0 612 792]
-/Parent 1897 0 R
+/Parent 1885 0 R
 >> endobj
-1901 0 obj <<
-/D [1899 0 R /XYZ 72 720 null]
+1881 0 obj <<
+/D [1879 0 R /XYZ 72 720 null]
 >> endobj
 318 0 obj <<
-/D [1899 0 R /XYZ 72 720 null]
+/D [1879 0 R /XYZ 72 720 null]
 >> endobj
-1902 0 obj <<
-/D [1899 0 R /XYZ 72 671.714 null]
+1882 0 obj <<
+/D [1879 0 R /XYZ 72 671.745 null]
 >> endobj
-1903 0 obj <<
-/D [1899 0 R /XYZ 72 589.481 null]
+1883 0 obj <<
+/D [1879 0 R /XYZ 72 589.544 null]
 >> endobj
-1904 0 obj <<
-/D [1899 0 R /XYZ 72 435.019 null]
+1884 0 obj <<
+/D [1879 0 R /XYZ 72 478.451 null]
 >> endobj
-1898 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F54 1447 0 R /F78 924 0 R >>
+1878 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1907 0 obj <<
-/Length 1535      
+1888 0 obj <<
+/Length 1322      
 /Filter /FlateDecode
 >>
 stream
-xڭWKo�F��WAjm�|�hi� )���^�
(q%-‡�$mه��΋���B�cvv����|���wi6�Z-�xv��eK'��ϔ�B��1�����_���(��O4��\{;�
-�1U�"��T?�Q{���:���v���[σ���.��ug�b��f��e�2Q�������4�R�h�L�*p��"�N�lD*���em���9�đ��a�ըA�*3_hϡvk
�J%��͉
�ᕭ�c���N��jz����j
d���w���S�%Z@���`F2
pYX�ڇ
-Y��
����V6��W��@�g
�v��z	x.E�A��Ț��
-^v��I����}$>+$�W�k�}�#����۝6�����pʞ�
M)��Q��f¯��U��!H�-�
/m-|���N�A�
�-���S̕h!}��z��	��i<p���(J�β�����0IG��������@o~L�2&~&dWh�x�Sr�'ZW%bV�]���}��@���lS��+��U��h��}����tb��v���%���NH���˝��V��Ⱦb���9�w�e$7)�8w��^b
�v��!�a
�"cZVr�
����d���9B�����[��)Gi��l��
O��T�@ʦ�]i�ITi���Q�ٓ�ɋ’i ,Kh������{��啁"��*�[c�DY�j���D��O�ܴ
1<� ���)�PI�
�ׇ�ڗXډ�}8��R�-(��WT1��
^I����#ڮ���:�~�����j��
��j���6���;d��]Y�K�y��|�
J�v�W��ռ
2k>]l쐼!����D���B}V�*�.

��sx�嗀i�7w8�b�5���ZX�5h1 ��V���
Vk
�>�aș�s<�@�%^�?b�Sa�x��?��0}O��
*�Cr5��
�K!�t"�H�W���_�9�N
\��.|��&�p�t��D��	Q�4TY��?��o
kK&�} �P+��B��C}�X�&�E�J޽�|Y3㡗#�\&� �\DR���4�^sw�E�s��)6���;��y���Ƭ�80�hTU%<�n	����y���I$E����
�\�.�\n��n�cA d���sa�-���Ek�m�ƗJ�:Un3ݝ5��B�
�����*Q��掵wC��N��RACq��7�P�I�P�W}�
�vB�s���a
F����A�(���[�MP������Pgj��'��9����<�mx���@��L�.x��+�����Dd�
N�"^�a�+-��w���Է�(E��ϓE�,ǵs��>L����
�h�t�P��'$/����
-X�r�]���\2X�jf"J�
��n�܏��ȶ��n�	�����vJA�,hN�+F��7��*�
B�U�'�(R�EEuS��uS��`Bq��
u;$���. P�c��A�i�� ?�Op&�
-�z��~��p��?m��}��}�M� ��Ɓ�`@�����;L�t��K��y}�R��W���n��gJʝy���SE(7�}���endstream
+xڕX�n�6}�WA��M̈ԕEh�K�R,6n_�>86�ul��d��o��p(Q6�vS��̙+E�4<:��*�I)t����=
���q
+O�?�e_F+
80j�W�����ٵ�
DQ�2Kz1���*�J�f�!H}���� �JEV8��� M�h
�D
���}UFw��ʉ�
���jb�rY@�%�X��<�Ģw
w�+��xec�*Z��;
�>3�'bK�
r��.�Ao�"���@�"Ms2�I ���=���h�����8S��TF
>#PWb���6s����AT�|��WEddJ
$L��?�g�<j�:��
��p
��*��1o��˺Pd+�6���
Of�X<��-�
&]a��Ȭ]��,8�b�V�8�Q����f�揸�Xt�i��5'���U�+�YLq6�R/3� ���X�]#d)�$eA �
'S�3Jk��|�H!�f�$N��3�‡�
+6Y�Caګo%W��r�������%�ͦ�H�Q���=O,;���~� [�.Yn+OQ�+)�І
`���z�m!C��(nw�X�v�-ӭ4R���-*�4�����8jٸ�D��L�N��V�S)
�
�9�
E�)���i��B7
�.���ֈqʭ
ǔ�8�
K��a	�l���*t��O2�v�r �EQ�C��R$�c��ZD�
�$���z�5.�����Y'�'�O�@L�W��
�٧��wz2fb��I��E��x��?ǚ�D����P�R����vM,������S�y�t(IE�D����o�N��~Ĝr��Z~)P���5f,��ޥ&S V�gWЃy!�5�n�h�U���
�2o���u�TmI��8�+������薎L����D;������hV�Vs<��8��M~�
R=��hf�.G�P��4e�������緖�/H��e׉
�򅫊
�/�g��<�����Ԋ�rv�Y��
o
V>��
�
�ӭ�3��Qz��
�K��������u�E�12�ܛ*~d�/i�"��IDU���J
��>��+�
�`*��!�q�&��?M�\9�&�$�Lv��Zf�u�j
q����c��1â��w&��<Zv�ڟ�wּae�N쏃y�����5K��\W=-E
+Q���B��f�{g�9��{x�Uñ��(�u�{ {�`��7B5î�]���|���� ��x��K��=<T!b8��d���
e���p�T<7���m��)=��+��loRۂ������MV��t��U��f

+kT7A�oy2j7�j��M�������+w��*Կ�
w�0`��
14�U���ǽ�㌠���G��l�lendstream
 endobj
-1906 0 obj <<
+1887 0 obj <<
 /Type /Page
-/Contents 1907 0 R
-/Resources 1905 0 R
+/Contents 1888 0 R
+/Resources 1886 0 R
 /MediaBox [0 0 612 792]
-/Parent 1897 0 R
-/Annots [ 1911 0 R 1912 0 R ]
+/Parent 1885 0 R
 >> endobj
-1911 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 345.986 164.043 358.605]
-/Subtype /Link
-/A << /S /GoTo /D (section.11.6) >>
+1889 0 obj <<
+/D [1887 0 R /XYZ 72 720 null]
 >> endobj
-1912 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 321.577 149.085 334.197]
-/Subtype /Link
-/A << /S /GoTo /D (chapter.5) >>
+1890 0 obj <<
+/D [1887 0 R /XYZ 72 596.454 null]
 >> endobj
-1908 0 obj <<
-/D [1906 0 R /XYZ 72 720 null]
+1891 0 obj <<
+/D [1887 0 R /XYZ 72 511.264 null]
 >> endobj
-1909 0 obj <<
-/D [1906 0 R /XYZ 72 515.89 null]
+1892 0 obj <<
+/D [1887 0 R /XYZ 72 446.497 null]
 >> endobj
-1910 0 obj <<
-/D [1906 0 R /XYZ 72 363.753 null]
+1893 0 obj <<
+/D [1887 0 R /XYZ 72 393.187 null]
 >> endobj
-1913 0 obj <<
-/D [1906 0 R /XYZ 72 286.002 null]
+1894 0 obj <<
+/D [1887 0 R /XYZ 72 337.558 null]
 >> endobj
-1905 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F76 747 0 R >>
+1886 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R /F142 743 0 R /F108 553 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1916 0 obj <<
-/Length 1412      
+1897 0 obj <<
+/Length 1365      
 /Filter /FlateDecode
 >>
 stream
-xڭXKo�F��WE$jn��ǒR�i�"M���K�%�d���![���XJ�C�JЋ���ݙo����������I-��f��L�������v�t�#b���o�?h�H0
-�N��Ob���������}
?E��o�kG�H	�v�O���ʹ��䫵��~���ʩi�
�ӵ<�[�ܜ�i�����ػ"����7��))R��Ik��6c�`:"�<k��b����q=��β��s��o]�*>�‡�
-�մ���
��ˀ>2����_�ȇ|��Qi(�=���������р^�‡� ��A�?
���N^d �n�w��kS�w&瑾-�A��f�:

-�9a^��u�[��/����-W}��
- �
��M5�
8[W%�2牲X4x$42C�3x�e�v�Q�l�Z���l��yd@͒�����BS��eV軆�7|_vE���"+����)&��(tSK�L�Φ�SrS��z(���ncxp�Y�i����	Z��X���X��^����
�������D'>Nx|���]/���x:�yM7��h�_/n��,њK^u��lG�
�����%�\r�
K� #
$Uo�i�#z=c�U��1 �!ʰ����[Q<2�����@�z��"
�n��A
QI
"`D�|�]Q���]����<9�p�T�ۣ����gV����ܝ&A�o*�LLX�����~r��֗_[.�Ӗ��
,�����&&���coL��/�؉\���
���
-�Ky9���'c叙FD�0'L!�
�\�q&![��6�];	�J%e�o��^�o�wY�C��çaT�R䋖����\�m� )���-O^ٯ�ׁHT`��@,��Z�ҳ�� �D
��7`liI�qn4#~6�]	��mM~����H'�Ґ��O�D�h
˸zQ:q����
��`�#�/7
�
ľ}�|�O'�@�ꌲ��%~��I��XU!v�l�y˝�R�)Kː�
���l
<��b��a�X�
�,e�}J�>�~.	���D��d
-�tT�|Wi� ��>�ڐW�J�b�I*'p8�S͆PQ�F7r_�L�žxL���ن�
8�
霢�`l��&���U}����'U��~��x����
?�����W� :��2����+�W���=�G��sm������z�2`٘l�M�#�Z73U/�kn
-�#�
;
ۀ�P@o7Tx�FA��/�s�5c:5�i�5uUۜ���U�����a��,��������s�}3ܛ�ǜ��G#'�R�_���=��z�
?�m�r�‹��&+�%���_�ԈNùO����0�����"�w�T�m���;�JB���G-d0����*<�����vֈ�
?��Y$�B�+'4�E�������QC�գ����xB��q�Q(�&����� =U
�endstream
+xڭXYo7~���$^��r7=i�4Z�jz<ȫ��X�
�����
�K�E�r�B{�
g>���MO^/�
	ˤ0����ʑ������D�b����� /�D�(fK5�(����5�]��������wN�#��0��`�ͤ��j|��9�.&E���/%�*X��^���tR�q�
EwP���\,��"l\H�jQ��
RqbW�<)�
B!K&�߷
�7��͖�\��hA։ج��	cQ���M���-S��A=ض���{��4��
�r�q%�d��FF=z����"s��
�EU����3r�%Gvn��"n�B��Z8��H�V��6�T� +�KHʹ.��Ŏ,5��-�5�\���x{�l�^lE��	ީJB�ZXL��PY0tYT��G��x�Q�qpg�6=��1h�)���ο�X�>�}�ڑ�6ɽ5�|[a����DZD($Y+p�<.1�v�cqo�]N��ý�1va����	� ��ߒ:�� ��~��5�CK���=* [...]
+��������_G���B���wd�UTb4?��E
�������#��#��o��@���Ceœ�&� ��x�Ƚ]h��O�B�Y��
=8�9�
͂Plf!]>�WG��:���|�X��b*Dʹ�pă}
[l�7��.v	/霻�&�kcJ���y3XJ3�g�ga��s�D�ɿ�2t?4]�*i���� ��O����.��g������j��9CV~�zС���x��
+�|J1g�Σ�l=�[�`�n�<��ٜ��2�(��|�7I
��'e��/�.&�����rƅJr�*�JV���v8�% fm��I��lm����dG1-^�
B��Q�xhe���L�"1
�e�:���~nBǻM���*0
�	�ҷ���¿<L���)Vy�q�C��z�V��#�`���e/�����tKMp��y�T<�,�����;ۓ����=}�]��gy�6�Tf�
����g��x�h>:���ӥKE�6�1� �E
et��_��Ij����&�fe_=��B
+�[ʖM��M�Mz
�����.1+n�Lڏ u�ی�i _"F�HO��,�P	��/��5��[ʺ�Ѐm���e#_���p�g5��9�����TP1/�V`a�;�� t�Y�	^1��Ӏ۫_��A���<����.��#F]!���+?��?�p
� �%��(<���ި��iLD�7�-U�X�i-�w
stk�5]����,z��A3�mO]3�����sʩ���J&y�PT����6!����&U͌t�x����F�
dN�����Q��endstream
 endobj
-1915 0 obj <<
+1896 0 obj <<
 /Type /Page
-/Contents 1916 0 R
-/Resources 1914 0 R
+/Contents 1897 0 R
+/Resources 1895 0 R
 /MediaBox [0 0 612 792]
-/Parent 1897 0 R
-/Annots [ 1924 0 R 1925 0 R ]
+/Parent 1885 0 R
+/Annots [ 1905 0 R ]
 >> endobj
-1924 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 236.638 164.043 249.257]
-/Subtype /Link
-/A << /S /GoTo /D (section.11.5) >>
->> endobj
-1925 0 obj <<
+1905 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 212.229 149.085 224.848]
-/Subtype /Link
-/A << /S /GoTo /D (chapter.5) >>
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [212.562 251.438 398.902 264.381]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig)>>
 >> endobj
-1917 0 obj <<
-/D [1915 0 R /XYZ 72 720 null]
+1898 0 obj <<
+/D [1896 0 R /XYZ 72 720 null]
 >> endobj
 322 0 obj <<
-/D [1915 0 R /XYZ 72 720 null]
+/D [1896 0 R /XYZ 72 720 null]
 >> endobj
-1918 0 obj <<
-/D [1915 0 R /XYZ 72 649.797 null]
->> endobj
-1919 0 obj <<
-/D [1915 0 R /XYZ 72 567.563 null]
+1899 0 obj <<
+/D [1896 0 R /XYZ 72 649.828 null]
 >> endobj
-1920 0 obj <<
-/D [1915 0 R /XYZ 72 514.222 null]
+1900 0 obj <<
+/D [1896 0 R /XYZ 72 567.626 null]
 >> endobj
-1921 0 obj <<
-/D [1915 0 R /XYZ 72 387.655 null]
+1901 0 obj <<
+/D [1896 0 R /XYZ 72 514.317 null]
 >> endobj
-1922 0 obj <<
-/D [1915 0 R /XYZ 72 319.867 null]
+1902 0 obj <<
+/D [1896 0 R /XYZ 72 405.045 null]
 >> endobj
-1923 0 obj <<
-/D [1915 0 R /XYZ 72 254.404 null]
+1903 0 obj <<
+/D [1896 0 R /XYZ 72 334.3 null]
 >> endobj
-1926 0 obj <<
-/D [1915 0 R /XYZ 72 176.654 null]
+1904 0 obj <<
+/D [1896 0 R /XYZ 72 269.534 null]
 >> endobj
-1914 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+1895 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1929 0 obj <<
-/Length 2403      
+1908 0 obj <<
+/Length 2370      
 /Filter /FlateDecode
 >>
 stream
-xڭYK���ϯ�%�
��"E��,r�E��t�d39�e���,9�<==�>� �����n.m>KUů���û�>�v�����<
6VmR��D�����я�b+��X��]b�H�Lm���M���\d2�s�`_F���~���>��D?°hy��K����ҍ�"7�
�*�D��X#
�EC��ɨ
�H�����W{X��;�E�;>
+
��o����.q��zٝ�p�F][�[�
a�]��D::�Bn.gw��{��
�l��^�
-��
�&�.���Kj�uJ�-j&S�3�8zZm�y�Ұtt�}o�����
ʦ��O��e1k6�vϷ�n$E�]�
$#���� �>�&�#2��o3|c�ݥ��g
F��V\`�ܳK�g�WϺ�z�����X
�*p+M�r��6�M� 8�T�j
Ԑ
-2|�Q���n�y �k�
Py�ŧz�j�KeՓbj��茓�8Uӳ��
�F��!���VXe�S��
^��ᇂZ%<1@a�Pq��c��]
$V�Y�`_�U��f]*���Ң�����'
�d�b�����JB	<�αC]=��q�
�_r
j���E�_?�ke��[�k0Z���D
-1�F�G��h
-���D��y���h.L4�/Q~M}V�
�0r_'�g��-p!l�N�<�*K6�b`�
-�����"��R��˹!0#Jӿ��B5{H%SV�d�r#C*R�ޒ!I&2 
{
-�@�|�?Uc�0I�����|�"N��|dLnwڒB5đ
\��ī8�����q�BP4
-�F���������sEP�	�`�[	q(c���;�[ 
1N�E$�'�=p��R����{^
E�$Y�Ht �es~=��	��ψ�xp����[�=�B���$_�b��aO��x�=J!�w����œ�R��#�Z
��L$>ű
���LE2��xtA�9j4Y���E�
8� �I"d6ST*�zm�ۮ���
�_82k�tS��C��b�;��@���sF �L�3(
-E�KE[�
�^�+ �����c&w������lR�L��\h��Zv�@�إc�2�nS��������G��+���Na��)
�P
9��4��)-����C�s�.���U��I
*:���/WX�C�Z��$ڕHe��Y��Z3�0��gɾ��� ,R�~�!�w�s���#]����ЀL�7�W��}�N��1|��uF�;���^
"��=>�¾��{��A��Y�9���z*�͐�S6�r^��`F�
h��������J��
��X���'�8��IU��ٜ�W�k���b1&��DpҀ�$z�`�H`U�,�t4�k
�C(���Pɺ\x�`�*�MS��&�E�J������\Uߵ�%��m�0.�4�ֶ5�1t�1D3E��:pPN�
!0�W�D[�y��j�$I��Ơ������+M����
�Ǒ_�徽���T
ca�QO�o=��*���}�;�m�bpÑ�9�����YC�?�9��8հ,[,��@l�|i��f���p�����(�3 ;y��e@�W��
����Tɱ��B�~1�ɸ0���ī{JLP�g^8�]_��C���ߗ�l�@8h���Eh�L��؝ݝ=l��]��
B0��-#i�E.�R�?�\�̡'�p2T��z(N�!3�f��<=S�
���u��uy4v��a�F�-A���1�ch�
q!����s���^����ծ�C猯Z4���S��*��ؘ
D��T�%ľ1��0�K��
#ĉ�=�
1��,͈��D@�}K  )8�E>�p O�W(}P� �o*��� e�	P0
|u1��r��s|[�QP�� N�o9 at Ij���+��H�/S�ӷy��洬Y��
^}����u��':��5�
碱F4�i�,*���4���<$` Y�k�9�-�Q4?���8�'D������(W.��X1�|�tm�\|C��:;dXk��C�%�������
�tma�r\��
-WB߹�mj ����
�q�c�pX��
x�w��Al`�:
-��G

��#<c���t�8߆Û~1I�����^\�x:\N'�n�VW<\�Ɲ�����A%E,��f� U�zUcB��~��)s'GPJ� Ze�+5G0�Lj^FYf����	��N��
-����C �č��.ТH��3���$�GT���Q����5��pciF8?8����(����J��z�GϢk�Q�i�L����V�7Py6{v���{�R�dν�j�R$4+�V嘋��/�=����纘��xd곛ŵ�W����k��/���2C��R\qO����5;���	�øsO��z
-��\���?�H�E^ǹ����������ϥ�<<Q�����ŇZr�\�V-���S=q�h�Q��z��{J
 
3j��"�\�HL�)���û�m�P endstream
+xڥZKs�8��W��URU� @ ���Lm��u����f3E�l�X�W������ @��=9�$�h4��~��n߼�����i�onw7Z�4°Zʛ��?.��~
�
/�=/W�V
�b���_o������ڍ��	��Ŷ}�
����8���w�ې*=zr�|:"�w���Y�� �$V;ҷ�D�*���ͅZNDI���6g���\��
�TZ?�@L��go�����"8�ё�Kœ�R7����]a9�&���m�H�ʓ���>��/��y��j�1�&_��F�@�*��K&e��'NQ�F-��{�����4
+���]�%�[�̛&�
|n
HT~�� ��R���X���#�^�Nf)�Rl�S�*�BZ�3�flb�U�k�!�v�3&��
 /
+߸�P�R�XLd�]NKP��~�]��0|`����
��x) �s����R��<��O$�5=�����_j�	H��4��ws��7�9���d
���LOSKFĝ@
�T}rB>B��24�{�.�a=���'
+�qMUn¬�jͬV�ж���3rтA�J/vO�9p~�8H-v����C�C�
鼕����\p�{G��O�
�w{�ʁ�?罻|Y깢%?��R�8j����K�{��/Tf���[�����q
��S\�݇:���Q���g?�
+����
+�ϴ��E������
Ǭ�j�13�T�
�h��k'�{�1�wCA-σ���S�Xڻ�
�����>�{�轲w0%Ó�G��u
+�VY�)��
~ӑ��і_cǂ6U���Jjt�h"<�d�>Z��a��(͞0�6ť��u�
��xD�
�]ׂ5M�=��6
�
֩1�)��*@���7z�
�����7���0˃��E���Ү�T%�ͬZ"�%�K1����Ø����q
��,l��,p�ŘU�

���wE�P�(�B�'��!����OU��R�������c2辻�Jƙ��kC�S��]�5�`�a=!
+��J]w���Dw��<'!��
=��8��cX-�g��П� @zMڬGz}�
��L>Li���#��\�s�3JF��n1�m�8l��]��r<��Y�i����em����� �]bR�Y
+
�4s�qW�
����
�?O���B����L�(E���P."�XuU�oк}�y�	�.;A�Zn-Yk��#&�QFr� Sx�`�4)|���@�AH�d��Ľ�dc]І�մX6&M�K
+�XUWzW�ҡZ^w��u����m��2Sl�V�.��t_���^�r�y8�y�
�4o^�b6Te�id�E,a)�)��i������98Ӕ��db��g>a _"u��^����n�K�Yř�mv��f�rRڽO��ݗ���>e���9�TRV{�"˰W\}�S�
+��Y1+���.M7j�E�������ǘ�\j�a
^�j���/n�&
( �w�U������K�
S�)�j!�J�h��Y�vs�d��-qL5|}�WnrrpE ��zg
7���)eL�\Bm���
�O�:�Zg\�C=&�:�٠� �z��r��� ��X�31�o��fc=��B% �m�E�q9"��8b�6z*_6A�s>&+<���M0�g�1�di��qY5�=�V��f伋�7ޘQ�]>�
���7�h���)g��n
���m�Xt=�3�zq��>��t���۴(����@�X	�+^ApG��x�<D|_��P�Uʼ�k�<v��'
�l�-�2��: �H��vC���E��:�aoc�C�E�j�'Q-�wb
�+	��M~қ�7֑�x
Oa��
��fѭ��Z��Z��
��	�\��#�D���RY(\H�
��M8f�H�yF�o�	���=�qV����N��~jl�<%It
���P
�e�J�����i֊!A�~
�#��
��S/^����1*�:����N}1I�,���tt�ޢL$7Y�ϛ�Pg	�U�p���0/\3"�
.ع�[?0Ԁyb��ʑ��
+��t�>�܉�Tm�}8��k�
�j#pX�<�u���n_��s,3���?5?����e�Z�3r|ͧDA�6œJ��<)�.%��ApI
�N���P�
�ߐb�)g�\�)v��{ ��%L���P�p��]]E�;�"�@�x��
6ؿ����u�"�)�
�ޅ�?���a���'���"2-��Y-�Vp>a�ڤYe�O�� ����-rN�]�8�4.WV�X��fS�s�ȼ�$���
�P��4�#�/�T/�ECkSMd��v.�;�����
�C��ъ
~�� �����`��n|g<zڹ����D��^L%$��/�ka�R���k��1�F�)��I}pn%���#�
�_\�+�D�!u��ᾴ���.
}���7��@�endstream
 endobj
-1928 0 obj <<
+1907 0 obj <<
 /Type /Page
-/Contents 1929 0 R
-/Resources 1927 0 R
+/Contents 1908 0 R
+/Resources 1906 0 R
 /MediaBox [0 0 612 792]
-/Parent 1897 0 R
-/Annots [ 1931 0 R 1932 0 R 1933 0 R ]
+/Parent 1885 0 R
+/Annots [ 1910 0 R 1911 0 R 1912 0 R ]
 >> endobj
-1931 0 obj <<
+1910 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [362.802 505.803 389.503 519.751]
+/Rect [362.729 505.803 389.397 519.637]
 /Subtype /Link
 /A << /S /GoTo /D (cite.King89) >>
 >> endobj
-1932 0 obj <<
+1911 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [396.638 505.803 422.043 519.751]
+/Rect [396.561 505.803 421.938 519.637]
 /Subtype /Link
 /A << /S /GoTo /D (cite.King89) >>
 >> endobj
-1933 0 obj <<
+1912 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [212.02 317.177 393.342 329.797]
+/Rect [212.015 317.183 393.306 329.725]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/abs/making-abs.shtml)>>
 >> endobj
-1930 0 obj <<
-/D [1928 0 R /XYZ 72 720 null]
+1909 0 obj <<
+/D [1907 0 R /XYZ 72 720 null]
 >> endobj
 326 0 obj <<
-/D [1928 0 R /XYZ 72 720 null]
+/D [1907 0 R /XYZ 72 720 null]
 >> endobj
-1927 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F78 924 0 R >>
+1906 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1937 0 obj <<
-/Length 384       
+1916 0 obj <<
+/Length 383       
 /Filter /FlateDecode
 >>
 stream
-x�uRMo�0
��WpL��H ��N��
v�6�B�F�P%a�ϟ
3�}��~��{v
����fB{����52k�]Q��/L��
���NB8�O�q�;�p��r#�
�
-6���;z�Fj<{��.���7�j�
f�sD��r �ʌ�7k�b�[�r���B�HL��<'�����9+�\�E]o�?"���y
����@h��%O�ف�<ӑ�_�ab�}P޺�
�O�ކ��a^��l�2�E��+H]�*�J�H�\�p'\�;��
Y*8!~`�EW�:yD�;բ�A+�!�Hv`'J��R}���
��WK^X'���!Y$���A�yz�)I^�VY����S�ϻ�
h�/ 9�T��"��^M�$*!�L!�yl7�"թendstream
+xڕRMo�0
��+rl�5KҤ�I�a�ަ
��T��ϟ�|��2���N_�����N
��)%fֲv��9�@�}s��
b
�1x^V�:���
6�{�o�y�7���=��H�[����o���϶��C�G����}=rk�.dwD�k�-���:
D|�	�~
�,# ���9Ѹ_���Ԑ&5��;��TFS��#����Q���څr�
"�����
�^aZ��&pn�4427�=�;�3Q�9���+�1{����"�C�
)���So���&�
i+d�?S,��>�
n`�#�tVwN
�4qU_2��F�[cKG������ч�F�O�����Ö/�Է
ҵ�i"}ϫ���@k+t�XigZ4��>
+� d��N� T�|endstream
 endobj
-1936 0 obj <<
+1915 0 obj <<
 /Type /Page
-/Contents 1937 0 R
-/Resources 1935 0 R
+/Contents 1916 0 R
+/Resources 1914 0 R
 /MediaBox [0 0 612 792]
-/Parent 1897 0 R
+/Parent 1885 0 R
 >> endobj
-1938 0 obj <<
-/D [1936 0 R /XYZ 72 720 null]
+1917 0 obj <<
+/D [1915 0 R /XYZ 72 720 null]
 >> endobj
-1935 0 obj <<
-/Font << /F26 548 0 R >>
+1914 0 obj <<
+/Font << /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1941 0 obj <<
-/Length 2519      
+1920 0 obj <<
+/Length 2409      
 /Filter /FlateDecode
 >>
 stream
-xڭKo������I�z��^�n��6X�;@��yD�Bg�����{�o�� )i�q�����_���}�)��T&�Jήo�2}��\H�ꟑ�+	����O���0�EV�g��.~�ϗ�s���;)��A�_��,0����g�-|UT�m�
&�m;
\��*�xg��v8����q9�j��uz��(B�V҈��gk�
-�3[��p��&*C
�xEg�V�����q��Ȟ�6Qݬt

3�aZT
�Z<�X7w�Fx�v%��9���D^ �0P��� ���qod

��
#��u�@*�s(�j��9

�VF��|V' &wǵ��~k�
-��
o���*I@�5�7�L�U����@E�
R� ]<ㆌ��P8�������>��+�Ǝ�ozfC\�%�h}�(,�%~Y��Y$}{p��y���C"����X�2J���`_9��ޑҟ����I��q����3��Hd+~;���>�V��p�"|�h�$�s�, 3pG�������FzӂI\LX�	#ޖ��y�&̚��*���ۃ�4��eG
x�
B�c%4���_z"���/ܐ���n�Z8�
-��p�k�a�
-�ώL�
-���M�%g!&�9�6�4�P3S��W�c�٭X�9{[�����9��*���$���t��
c�1ѧ���_��%�lWx�$��vߪ�]�\�!��X� �"�@
-T9F�a�c��"(�H�����Z�s�t��eP�#ė�TZ 
�hZI�� G�
��Wv�6��́$#�b��E�OD���I��p���\��
��mcc{�yvE�E�N��ҕc�ëA00����P���E,�W\c��4ĶkH���j�
FS6�	�?}�E�~���8K�YĹ�+
5�:��·.#Sg�@HU��`x�-M�{5,�N�ȋ�E:\���=S�2�\�2�ߩ!��o�ş�$��Vc֤#ϛm�A'ęK�JM
)�c4
-*4�h?�}��
�K�>q�y8�&CB�"ܛ͘i��ܙ��\;�n$�ha��
�}��b��"�zo�c��C�͔�}
/�x��rx��m��<qݎ�� �0c��i7�F�� �+���I�Y���6k���>
��Y$C�´J�S}�u�dqc�f*���5�XF���}��ۡ��A�a�'[��=o�
^�9Q�:�c���
�����T��
,OC��ڲx����H�QY�跡*��A1rIa���x���
~7ґϥ�W��"n�ɐ�
S�' -��t���(Ǫ
*G���	¦��G���
����RgU<����x�
�;(d��|�ñ��ڦ��
�mӻ�w��_y�
���I]�)�T�/鹷xP�3c�cd� Q��c
�)\E����U�!�|{�)4d7 ��@�ܿ	tN�4�+w=�J�o����
�Y��-���v�G*V6
�a�~������ �xS����u�[����
R�W���p���wΫeH�[
�
�/��,VG���a���ʑw�ף���/G�R!���P�U1ؕ�M�SR����Ͼ�� �BL[�9K��z:�,dӢ⟨xV�V�)�ӯ�wx���r�䀇O�u�?r7�+.
-��by5��E�ۿ\�����\���~B������+0��IM�j"�W��s�?
�Bi��#u`�!$�
-� �
T�p��`���;�p�Ʌ��|�
U�Xx�Fv�
v�2Y��h2��l����wT�[�H!El�-�K�!�;�
��
vz�˦����e�IE��]�K�4t�驧��i��*������|�Pgr%�!�H�KU"�^:o
V�uB�X�cg,�.�IU����ljF��G�0�Q�o��	����4�f=�0���j�����R5=N�P �
���;�m|z�ߌO
�b��b��j��=ir)g��%��^��f|�gH�9��� Զ�
��Ųϸ
uF~�Zt"�3Oo��?�y�K�K~�	�g�8�]�f��C'<��>��Юϓ�	�!���-
$�uI:!Y,z�4��3^K�'\ ��B��[�
Jq����;�*d���R[wG�
./�'N�]D+�=��K9�y,�{�J
�S?h�f�Z�o��dZi�J�|�x[�lJ����	\�F�x�	�}X���^c��{���r4>g/��`/�d9u�n
-%����M;���(ԍ��$�
��]xU�ݺiZ~3 � �sn.hR,����(?қ�mF��|
�S�q��?�!��2Y/�YJ���ExP��m�:�O���
w�2?z
�sx��yHK
�ۜ"�B��^w��)ކ�
�砇��C �Y!b��g���bͯ����6�
08�!�!�������
��L
*� ��F=�s�
pOxm��m�?\.��cK%��$��4q�n:q��p
�D���޹b����It�t��
Xo�{I�FWv�pT:y�~O���E�ISu*9��f>9�s�e����u[�t�V��M
�νA����L�,'��_��7h���>^��/>-_endstream
+xڵ�n���r��w�5c��6k�9�Z Av49��P�̡^9��SU]����{��SU]类񏗯�{/�9��PҞ]^�5ꬩZQ����L�˙�G�#���+��:��Z4�>�������|��1����xs>׍q��u�6>l�o5[�k�
��,������X����o;����n����~��Y8>Tw&��,�1�@ʪ9��Z��#n~����"�32
9G��g:
�x�ùjg�k�P
����}
+��W�C�M�|`v7� �|�v��G���C�~�l�:%���ҽpA���5�o�X]���i���i�T-�JC���qv�ͥ�Ԥ�=e͈
��8^p��?`�n��]�W������pnm`�
�����[v�Kg�L_G���Dpy
9/ �
��9�ΝW�Ͷr:3U7��_z/�*�9е�R���˧�+�:�e�?9�V��K#E�[�}!
Za���ߒ��gG�4}G
�oH����B�C���!1�=G��xDر�
F��^c��������j�F [2W��L�� w���
jM�Œo�˻�ǣ/�����~U���R��'㻂��h��_(4B7�KV�ZT�>����/��k�߻��%0ڥ��DU�о��&��{�i<��O{��t���
��ֵ�8n��c�����IPn`qV����gk"�� �,��عak��/}b�����#��*
+�u��S%mސ�
�a��r�
���U(�n-�4����'K��
��c�%+a� e)Q���fqk�Mb�YK��
dv�:n�����K�}���'4�����9H)a�fŻ+�֔*�3�������g��)իV�>�P��xA���^3ή�CT�HR���NJ�K�#�`[.FV1p]�Y%���G !p�<�p2��Jt���� :'�Z#�l�B%P7i頜��
��wm��&B��F�%�
#J��6�
�	������]�VO8�K���~r��wI�$--s8�u��
T�i�Ђ�L~
�€���
c��b��V�
�m ìgj�;��^��_�
�|
+�����z������Szn���	Y������/�
��}�� [����9��س�R^����,~bٗP]f���}rP�>`+��-� ��_y������up\^�u�
�YE%�P�
+��TT_�
�L�*�4�pu�6��Qa�Rj�I𘙡�
�+[����E��|1��X6���@���DZij��t�;1�,���X�5�“�����6���-
+�`��Js��N��kp��6i�i�����f�6�o􏎀O4�;�_��˽���ػMzE
�&�K���1�h"����䱫���|&��bO�P&E�FCچ�~ 5BF�/{�6Tw��
�k��9
+o��2�?��?��/gmD^������
�_��?
r�G�&��� ��ܟuR��Xf�.';
#��ث֙C��|J��xڗxڗS������ю��R޹W�I�?%)�W��'�O��[{fr�;F,�H�4/�}��/
���|4h��	���Fkܰ���F^U�C���J�b�T�Uv�{V:�a�~�*"���|�5��<-�[��8�<����NX7w�4()4�y���:Au�uF��o<1��&�p��p�B�ץ�&;�����r$]Eud�V&��,����
�����4�Ak~���:��u������ɭ
X#Kʥ�vajW��p��U		�GG��ڈZ�솕U�7|�����3Ȟ0U�F6JVE�H�T���M��P&l�W誑|X�pwW2��}�����g�
M6Y�sBL��'}�w�G �&I:��5���`
'(V��3�X�k�8g�G�x��t
+����;�I�]�T��T��դ�n�Q�P��ڮ(G�]�{�r���U@�X�Ȥt�۴��<r�D2š8��^^
+H�qD9>!�[���|Y'5� y��D
��0�NF�T!JF���0]P/�4�T�#6~g9J���ٞ���t��%�NzH�D[��
�-�K]]����me6��������뛼�]W�Fh��w�o�ݯ��'|��„�}�fC&c�i��ƈXE�0l�lsʍq\׶a h�c_33{�L�
e�qo��l�¦�:�m'����F�`*0y8�����2K�xJFB�Y�o���+�����������-��_V��c����pn¹@8�b��������ؤ]�h�{�A��"���]��Z"��ѕ�p�/�
��'��5�;�7a�[b��]�#įŶ[6��E}�9-ɋo��nܟ���ŵh��tc��]L�)�4/�]r%�/�@���[�T
�:����vsui�1�p@��<��I_�>б��Ɉ{7�V�`�����0�Ot���˓j!�h[�c�������"īw���A��endstream
 endobj
-1940 0 obj <<
+1919 0 obj <<
 /Type /Page
-/Contents 1941 0 R
-/Resources 1939 0 R
+/Contents 1920 0 R
+/Resources 1918 0 R
 /MediaBox [0 0 612 792]
-/Parent 1948 0 R
-/Annots [ 1943 0 R 1944 0 R 1945 0 R ]
+/Parent 1885 0 R
+/Annots [ 1922 0 R 1923 0 R 1924 0 R ]
 >> endobj
-1943 0 obj <<
+1922 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [298.103 533.317 326.759 547.264]
+/Rect [301.211 533.332 323.981 547.166]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
-1944 0 obj <<
+1923 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [89.928 504.425 127.264 518.373]
+/Rect [89.917 504.441 127.213 518.275]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Enders04) >>
 >> endobj
-1945 0 obj <<
+1924 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [133.726 504.425 159.131 518.373]
+/Rect [133.66 504.441 159.037 518.275]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Enders04) >>
 >> endobj
-1942 0 obj <<
-/D [1940 0 R /XYZ 72 720 null]
+1921 0 obj <<
+/D [1919 0 R /XYZ 72 720 null]
 >> endobj
 330 0 obj <<
-/D [1940 0 R /XYZ 72 720 null]
+/D [1919 0 R /XYZ 72 720 null]
 >> endobj
-1946 0 obj <<
-/D [1940 0 R /XYZ 72 467.19 null]
+1925 0 obj <<
+/D [1919 0 R /XYZ 72 467.243 null]
 >> endobj
-1947 0 obj <<
-/D [1940 0 R /XYZ 72 356.065 null]
+1926 0 obj <<
+/D [1919 0 R /XYZ 72 356.15 null]
 >> endobj
-1939 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F78 924 0 R >>
+1918 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1952 0 obj <<
-/Length 1744      
+1930 0 obj <<
+/Length 1757      
 /Filter /FlateDecode
 >>
 stream
-x��XKo�F��W9Q��p�f�ph�A�
���\ID(��.
ۇ��΋)ˍ�K/��g�
���ً�8�P�͢�b��H���K]/�U�����
��
-~�&�+�|�~���7~<��.���*�dW�ee�Y,�hs[�0 �{>��NO��҆��
'��|�T�TH�y�vE�5�F�K<I���{]��m#�>-�~�h��߯
?q�B7|�~2�g�����[�÷�^�lZ�F��*t�0&3ъeI|;�"��Ăf~̛�H���b%~��|��Ia�P�����ԃ�5�"�^�����#�I�(b��]�h�ˆ#�3C�@S�L(>z���oI�Y}��^`�
a⑶h4�_����
-8�q�,�Cuٹ��a	b��8r����4[�a���ǹ���>@Ȃ̡]2�N��ےU��5���Zd���m36�8U��0�cTS�%���Xh�7�L(��=	Ã��
z3v8cj�9+\l9��,�u�R��ɋv�c��� . �U+�����4��>��b�(PY�%"_*�]5�+���j0�AN��1F3p��٤x	o	�K\��)2�p3��zQ(0IP��c
�x���+��	�2���
v7����W�)E��x���:`���r�y$O�+7R����V�)Q�Ɣ��O7`!�j��{Ά%m9
���؎3=w,xaDD�4m��|<@�S�I���5����l�|F�C��8���	瀜��W��K�o~3� ͽ���t�=+���c�)�@yN1�@=R1�u*F��R�7=��U�׼��y#��q�r�`
[#ܕ�u��ڞ���"�%�mxG� ��H�����T�Bư[��3�R�`���,��@��>u$-p.�5"x)�:v÷k"9۲� �k�Ƨ� �� [...]
�����f��_����UTR#������1���<�[VK%�C���Fw�Xq3�r�U�2H2g0�b<�|�jx��C�:�
��j	I6		t
-n��ܝ~�C�)������
c�F�����o��CE෽
_N�}���Yj��
��
-����
p��`�(�&(��kh�{�s�
���PR�#���� ��Uɑ-�������#g�=����8ت�
D�A��y��c���+v� �1莰��n��R����h�@PR��v;�v
�W�~}s5yZ�[�f��X��;1$�2��:�0�x��
{�J�wѶ�<|�Yf��Y/u�I���*1���C�B���_���wf\����p
��������f��
��/�ԍ��T�e��0��q.���K�m�rn�XG�;
-�?�XATG�w~Z�	�a5~}o��kL��� Q��Qj�+�/�Fq���o
0.��h��x���?��E|���"�;��M��B7J�'�3��y��*�_TۡGJ�����(�G3�3���]˹�h�53p��
?3�I�H=�~�#�^ۣ
-i���
&��Ko,�5����^��甓�
���y)p4
'���z]��A�\J������ɔ2�~{w�a$�(�O�Q�6�����l�㦟��q���VK=~��C�z�o�G���PCmڳ
a�vD%]���K�7�5������A�ɝ�3���!f=�}���u.Tۘ��4e��I��ϮW������endstream
+x��YKo�F��W9QH�pw�|m�I�h��!hzP$�b[�H9���ٝ�
���N/=��1��vf���٫�BdgB$��g���B�i��|M��.ڑ����{��[
X/̨��v��寯�ˊ�I�b)�
C�|�\E� 1[��
<5m��4X78�Es����R��q��»�֞Âv�I�V2�,i��z�����(�yT�#YF�F����g�Y�Y=�A:��{V�����M-�-*�$�rcю��)�]Y�p���E	q
h)�ҫ=�O�k^/V�Mc����
������N�vh���YV2�YS;}�8�xz�o���$pbf:���u�G>�:��7kc=�4A/}��x��օ$�҂�I�4zk��t�����=�Qb����vT�U��H4sr�
5�{�
�

-z�†jKn7k���XDѻ %��:;�m�y��Li#]K�NH$��`!γe�K�"j\t��ٖh�l��r��u��%)5it�"V���,M�v��!
+oF��6�`~E�-�ϧA�)�+ھt�"Ԓ��$6ٳ&�N�z "6��:Ɨ�yf:�5�+d�a�LTYe��q �E
+�h�s1>�ѥ�[�'iR��KP&�
�OR�C���"��~�s�7�cS:t���$`:��kk��Q��i�^<Y�Ӏ�& n��ضP~W��r�H
bԏ9̌0�����wy@������=�<���4O �B�=��C�iI���$M�N8�RB�(%����a�BW4?&��
4�����d�J�G'/��
s;�~�;l�[|3�c��""w(���D�`h� ���I���-ˈ�w��`�Nb8'v+I4��࿅����)ʪ<)s���?
�)��*��w�������i|L5RK��O)�
��������i�'���w9t�t�4]�Ke�S���*�t�9Y��"{ک�8e L��h���,�K�
��+�~-�
�J>�yHx��T(�?��r�5��w�f����v�d0�,�Q��8�P��\�ŪLJH� �
R.Uĕi

�(�k�v`I��7��ڵ1�0ېqadA����L�%���%Y�@��(q6X7fZ1|�5��̩�&��U�#
���[G�Z%�ʉ����,�P���'��9vE=���d�E7c]	�À���AsV��;�_�NvQ0b×ғ�h�3�bl_�
&�sw��
��\
$�(�y]Fs_K�o�>�(߰���~ m\�`��3��g� 
+a��
\q���wꭃu
�%o���0z�����=��@�j
4RBe4zw����Y3�Y<�6�ڂ�����I�	!��MS��UA}
+}I�p4����}�j��
+�3
+>�M�&�<�ll��y`͙;W|���ik��,N�q8�\%�bw�.
܁e���
+N��%�a�~0�~U�b�*�KC��Q�O����
+�����}q at Ih���}/��m�{�]K����1_��
�QQԸn��#���q�|�E�0��!���Sq؋{��n$\X,�#���
+����tʹ�s�.��_
��bs��eScw�0��vij��`ם;b��;�k�z%h.�`���rK�"3F=���!� <�{���������(�=���;��pTv׉�q�_Š����Ii�P�����h������G�=�ľ���@8�����./���M][���`�����
�
�����>���
X�6���w,{����N�
�\�&i^�#!2����]>�P�endstream
 endobj
-1951 0 obj <<
+1929 0 obj <<
 /Type /Page
-/Contents 1952 0 R
-/Resources 1950 0 R
+/Contents 1930 0 R
+/Resources 1928 0 R
 /MediaBox [0 0 612 792]
-/Parent 1948 0 R
-/Annots [ 1955 0 R 1956 0 R 1957 0 R 1958 0 R 1959 0 R ]
+/Parent 1943 0 R
+/Annots [ 1933 0 R 1934 0 R 1935 0 R 1936 0 R 1937 0 R ]
 >> endobj
-1955 0 obj <<
+1933 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [505.026 667.447 540.996 681.395]
+/Rect [505.063 667.457 540.996 681.291]
 /Subtype /Link
 /A << /S /GoTo /D (cite.BroDav91) >>
 >> endobj
-1956 0 obj <<
+1934 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [71.004 653.001 151.432 666.949]
+/Rect [71.004 653.011 148.519 666.845]
 /Subtype /Link
 /A << /S /GoTo /D (cite.BroDav91) >>
 >> endobj
-1957 0 obj <<
+1935 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [155.052 653.001 180.457 666.949]
+/Rect [150.731 653.011 176.107 666.845]
 /Subtype /Link
 /A << /S /GoTo /D (cite.BroDav91) >>
 >> endobj
-1958 0 obj <<
+1936 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [193.504 413.692 230.84 427.64]
+/Rect [193.477 395.477 230.773 409.311]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Enders04) >>
 >> endobj
-1959 0 obj <<
+1937 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [237.159 413.692 262.564 427.64]
+/Rect [237.122 395.477 262.498 409.311]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Enders04) >>
 >> endobj
-1953 0 obj <<
-/D [1951 0 R /XYZ 72 720 null]
+1931 0 obj <<
+/D [1929 0 R /XYZ 72 720 null]
 >> endobj
-1954 0 obj <<
-/D [1951 0 R /XYZ 72 697.999 null]
+1932 0 obj <<
+/D [1929 0 R /XYZ 72 698.015 null]
 >> endobj
-1960 0 obj <<
-/D [1951 0 R /XYZ 72 362.141 null]
+1938 0 obj <<
+/D [1929 0 R /XYZ 72 343.833 null]
 >> endobj
-1961 0 obj <<
-/D [1951 0 R /XYZ 72 366.997 null]
+1939 0 obj <<
+/D [1929 0 R /XYZ 72 348.815 null]
 >> endobj
-1950 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F29 672 0 R >>
+1928 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1965 0 obj <<
-/Length 1286      
+1948 0 obj <<
+/Length 764       
 /Filter /FlateDecode
 >>
 stream
-x��WKo�6��W{��X+J�l-��4�h/���ۃbю ���Ρ��� e)N\7X������#������4	�R��ˑ�&r4
f~�(���2�H{�

��2x6{x|
d��à�	#X$��?���D�~
'}��
������p��Q�Q*��<�쿿
��ӸW*g�I8��iJ{��x�R�:+m��6�z5�Da�e�2��L���p�{E��S_��� ��(� �7�Uf�x&����}u���W8�^U�{��
(	�4����^�u
�V��Q�ƭкƱ��%���v�
�������.�L�TΟd�4u����
��Äl�4AR�JsB��գbA�6�Z瘹)g���)��R�\��[�YO�,�ybge�"d~�З�X���P�[̜E� ���o~��&�O�;<���?YL+�aȇ��#�ħ`�YE�o�B�
&�X(���i$I�+J\��]�8�g����*��l,9���?ld� ���BY�
-%�*��
صٻS����|<��@i��[
ZA�̨�n �: !�z1�K��0�N��ȭtz�xբnوj�htaڬ�)���2�$.�?h�ڭ���#�ͦpm��<�/�r
<Ǹ���kb6�	/�(�`��c��Ja��Z�jd���>d���t�{�~��^�
f��1O�2��G���+T	����ZP;�6����Kk��!��C��aM
ľ�E��Y����
�>ߜ����#����T��^Ɩct����
����9�
\�(� |v9��場�
>Q�Y�fn�
^z;W�֜8��|z���L��dcE�'�m��
 ������R��mA�P���Bx�-���� Mō�^k5j��`�N���]�]N8;-�
(�q w`�զ��K"�?p��	�
[�AGW<cY��
�
���dg�@_I���y�U	7��3*�ڢB�z�;�r�Qs���#b���:"B�C�{~񱤊 a|i�i�[�/�?��iڱ�����	r�|}
��
�(�!C\�{��x�i������|]Xt3dt�l���c�Aw���C���%$%�b�~1G����7gE&D��8
�ٔAr�`�Rʤ����0_F��#_�j���F�3	��%P_@ҽW����P�����������5P��=!��O�t� y�7 
-�j�Yu�h��
%��
M�y8o�-
�[�0k���GI�7G@��?�d�^jry��Y<��M�Q�݂��{x޼,�J&pt���[
$�*_��/�Ҫ��endstream
+xڕU�O�0����8%bqc;q�i�$&����ءk���@�28���~vܖ�vxʋ���_��OG���	c�.K2��3�eI�\Ѽ���W�3e�d�2y iA�u�	.���1�er�-�d�V�ހ���5ڙ��c�{�mx�d������|I����;��u^�
�bk���63~
��i%����~�;�3xB�Φi37۟݇G���r���.9�����TIY9�X���p��sIΖ���
+{���z�ӽv+I��
NyQ�Jp�DV�:�:�rL|�Ƙi�ힹގ�۾z3��H��@_�L���v��5�APY[���G���p��Y����O���vT�}`}k�*yl�������3T����.�O�떨v�e^)�9�Ҡ�QI�ޤ�KK���ͼ�ơ��<ʼnt��P����B�a��nҲL|��6�3�=u�m��l����jV��d7���!�J*��I��
+{���j�[io1;��.MQpلs��˸Adf`��{q����{��1Lkr���
VQ����%Ga��~�M�Ym�l0=�"��
+ n7����*l�x�\4�
+Ej"���F֡
+��� s�jB
c���'�S�(��;c�_#���Re�$�<�

I����Qt�Ȧ!T�%Xm0��C{vO��9BO�G
�����u�SG�︈�!��}�ͽ�
`��1�3��!��׆���;�Q�~'Rw|�W
�{e�ݦKZ�4�xM�R�0
IP��� �endstream
 endobj
-1964 0 obj <<
+1947 0 obj <<
 /Type /Page
-/Contents 1965 0 R
-/Resources 1963 0 R
+/Contents 1948 0 R
+/Resources 1946 0 R
 /MediaBox [0 0 612 792]
-/Parent 1948 0 R
->> endobj
-1966 0 obj <<
-/D [1964 0 R /XYZ 72 720 null]
->> endobj
-1967 0 obj <<
-/D [1964 0 R /XYZ 72 682.189 null]
->> endobj
-1968 0 obj <<
-/D [1964 0 R /XYZ 72 352.461 null]
+/Parent 1943 0 R
 >> endobj
-1963 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+1945 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/arima-Example1Plot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 1951 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-1971 0 obj <<
-/Length 3337      
-/Filter /FlateDecode
+/Font << /F1 1952 0 R /F2 1953 0 R >>
+/ExtGState <<
+>>>>
+/Length 1954 0 R
 >>
 stream
-x��[Y��~���C
��&nҮM�:ޭl*NU�I��Z��a�k)j���t�^u��&�2� `��������W_�4v�9˵�ܯ&VLl��T�˟�vә�ɲXO����/��M'3!��q�O��~:6�

-�(͒wS�Ͻ��nʓ����
-^�6]Y2�G]n|C;�to?wޙ�[Π!uS�3�\�d�|�
.B$����f n�vQ��j��k�m��M��,�M*�'���
����8<�RF��,5zҎy�XTEd.)��òℌ�|���������X
���}x,(�G�7�I�Y����RƑ����
u�-�OqO��U��U�bɦ3%Er���rU
p~�Gɸ��Sc�)63?�����u_��	�,
�cE�bW�&��܎����X�2W�J������
��tR���Y޲8�K�v^}�f"�ui�&�V~��t☯�e9�ѻC].��\8.
-j�:�3�ɵ� q�b"K`"�T�il�tc<@�}�[� \.�e`t
YⲄ
��bۅ���T"9n��[��ZH��r�VR������%�#O�f�^;�᪔EE}�aN��J��
9���Yf���K��wdRtl��h��:1T0c#'�I���"�X/�v�
q5G��<Y���
.��Wme�G'�m�q�c��(���`�y��)�Bdm`���צ�ѵ�;�Y �Y[�mr�K�+���5�Pu}Xo-���i����i|�Tg7ϤU3D�,��@;IGj��,ȔG��J���+�jW�6������<&Y�W���I�/'�դ�̈́Θ��o౭KY.d�N*U����wc��%�Ѻ������/��nv�T�w��؁ZՍ��z���y�[��^�+��T�Ȃ,�i{2��\�Ō�V1��g_���
�a��3�ʝ�7
���JyBO���/����;!<�3ET��zH
����!l/������wQ���&��Y�G½<.��.�i���t���p,�]=�}L�8�J|QJ����@�_4W
��V�$,D��P�}��1�i8�j��Y��!Ž�qM�$��qt[,�L��8�`�����] ����KQG=�b�P��NT�9E�<HVF��)#�0lQ�lF��*�Uq(<z�I�<�m���:��	C�w{I�����f@Q~�b�b�����#��	�M�xd�1��)%�"�gad/W^
f��{E��<
2@,��Ɂ��o���˂�d�+{xp뇯 �(2�&U�fP�S�ϙ��S�8c�g֎�o=3EU�i<�� B�إ0O�3�$�cA�� �XBlj� �|2��o��T
�X��;q��2C

r$�׍A���
Xnq��-
*�x�l�^V��ec:K����#|��|�����H�_��f��
0Vus�:��¿�L�S�.�3����
��;3o(aoVg����>?��z�I��O��uI��|$�T, at Qf���MCk�n�^Խ��/7� ��(g�6	�v�, E��}=?�]����"�Y�s�� 

���F��
-*p�W�8W��m�V|��&ہ�����[W�>j��9��^���q�oj1�a�)�u<��Z
�����hT�\�<(b�,�ʂV�	>6R��TD(/¸
�i�1��1��ў�?�*�W����5��
>b�@�
��+d�
-�K��^�/��ud�*�V
R
��D�q�:N�
���&�;��4Y �u�@Q��e�ٻ�ֱ������
����V����LH�?���ͥ���f�Ŷ�(�^Zr$Q2<H�.�l�뱌	T)�'��Üe����C��
q�w�߂h
Z��'�����d
X��B��m
V�I\*Iw����8W��b�[�!�5��,"(�,
;Q�a���yE����6�|;�
��9U$���s_7}�D
�<�U�����

��鋙���<�\�����S�c��.������ Lވ��P .4{�>�g�#&���s��
��L�'׎�6>�S�+�6�c`f3ȇL���f��WL�����H-T����GRM�ŭ>
�Q����}G�^kx�
<f7�.:܌���1O�� ����/��r��a����v������\1��b6���,.��4#�ii[��GŬxv��A,:����jP�'�� t����O��N1�fq�j�K�%Nd�۩�
��C�Q�M��	��&�1��%c
��yv
ah�yv�
 �����G|%}��Ƣ뚊�t�����Q��:�F�K�6?
|6VB���ƽ�h�R�@�E|�!���3���xh�.�:ҏ�u�A��B�=S�Ô����x?�9�Br�	�;~J��X�C@ջːNJ{�7E<�����~ac����~�1�'N�_Z��~MP����v����=���9�{Ug_�U����e����#Mx�[wP�29�&
��Oֲ��K���8�4k
ݝ�VB��U��읻J���n��Z޺�
~�pwB��e��e�ķ�\y`޻5S��(
��ߎ�BH��F
�E1��j�����|��_�����
��A�6[�a�Ƿ��M{�4
�o���ꕍ��]��[���m<o	Pa
-9B�/:5D|�
߼<�թ�/ܭ;��}T��i
-K�jZ[ 1���
 ]
��:�
Y�EG)z��C�4�{�㊻bz5��ӝgQsc"R�5k�
����"ߑ��|G^�8�E n��|G���<��\���J��c�<[ϧ;�iҝ����y�
�e�;�t�s��t�"�{	�CI�dKŬ���Y���E�HQ
�P��)��0w�޵��H���y �����ߟ�
�|������*ޠh��r͙Q�ʡ�,\Dv3�n�
-{��I�'�:�<�gO
��tA���O��L[O
�_�/�s�M���l�U�
�>������KR��=�>F.މ4�x� o,��%�V\��M�ҷC��:�>Bf���D$us%�es��*���hE�e�*�5S����f�Ԫ�{�I������@$�׮$Qn�%-ͥ���d
-���U�����ˀ���un��?��q��6�����6��I%[ύ�T�,\�I�����_
�8K����#M��Z�v�b�4�fcO�Q�=K?�j��֔��%uȴ�k
�����X�D�@�>n�e�"?ܫ�e�����QT+d�I���d��9���j"5�;*�'n at U<�>
v���%5�B4��нq����
^�潳���Ć�,ò�%��-���ǯJ�˗�S�]q��������Q_'4����C_�]j7��J�'
`:!{�_t�Y>���+å���A���,r��Nsө{�]W����?ZtZ{%v.j��Z�ݎA����̱���_�C�[�endstream
+q
+Q q 59.04 73.44 342.72 299.52 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+71.73 263.15 m
+76.02 260.89 l
+80.31 269.30 l
+84.60 250.79 l
+88.89 247.43 l
+93.17 255.84 l
+97.46 254.16 l
+101.75 320.37 l
+106.04 361.87 l
+110.33 358.50 l
+114.62 355.13 l
+118.90 347.29 l
+123.19 341.67 l
+127.48 332.42 l
+131.77 322.32 l
+136.06 322.59 l
+140.35 312.72 l
+144.63 302.96 l
+148.92 289.50 l
+153.21 291.86 l
+157.50 283.61 l
+161.79 288.93 l
+166.08 276.88 l
+170.36 268.19 l
+174.65 263.41 l
+178.94 285.12 l
+183.23 301.28 l
+187.52 288.93 l
+191.81 274.35 l
+196.09 266.51 l
+200.38 265.94 l
+204.67 237.33 l
+208.96 249.68 l
+213.25 239.58 l
+217.54 262.57 l
+221.82 251.63 l
+226.11 238.44 l
+230.40 236.22 l
+234.69 240.69 l
+238.98 224.98 l
+243.26 228.91 l
+247.55 226.39 l
+251.84 233.96 l
+256.13 242.95 l
+260.42 231.17 l
+264.71 247.43 l
+268.99 237.33 l
+273.28 239.58 l
+277.57 241.54 l
+281.86 232.85 l
+286.15 228.91 l
+290.44 227.23 l
+294.72 221.34 l
+299.01 224.98 l
+303.30 212.93 l
+307.59 213.77 l
+311.88 202.83 l
+316.17 194.68 l
+320.45 207.88 l
+324.74 210.40 l
+329.03 199.19 l
+333.32 188.52 l
+337.61 185.73 l
+341.90 190.21 l
+346.18 200.30 l
+S
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 217.07 18.72 Tm (Time) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 12.96 174.82 Tm (Time Series Value) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+67.45 73.44 m 324.74 73.44 l S
+67.45 73.44 m 67.45 66.24 l S
+153.21 73.44 m 153.21 66.24 l S
+238.98 73.44 m 238.98 66.24 l S
+324.74 73.44 m 324.74 66.24 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 64.11 47.52 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 146.54 47.52 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 232.30 47.52 Tm (40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 318.07 47.52 Tm (60) Tj
+ET
+59.04 132.99 m 59.04 334.94 l S
+59.04 132.99 m 51.84 132.99 l S
+59.04 200.30 m 51.84 200.30 l S
+59.04 267.62 m 51.84 267.62 l S
+59.04 334.94 m 51.84 334.94 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 126.31 Tm (20) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 193.63 Tm (40) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 260.95 Tm (60) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 328.27 Tm (80) Tj
+ET
+59.04 73.44 m
+401.76 73.44 l
+401.76 372.96 l
+59.04 372.96 l
+59.04 73.44 l
+S
+Q q 59.04 73.44 342.72 299.52 re W n
+0.000 0.000 1.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+350.47 197.42 m
+354.76 204.14 l
+359.05 196.33 l
+363.34 203.06 l
+367.63 198.67 l
+371.91 200.39 l
+376.20 200.95 l
+380.49 198.91 l
+384.78 201.52 l
+389.07 199.10 l
+S
+0.75 w
+[ 3.00 5.00] 0 d
+350.47 229.11 m
+354.76 228.60 l
+359.05 221.67 l
+363.34 235.55 l
+367.63 213.57 l
+371.91 229.88 l
+376.20 211.85 l
+380.49 222.34 l
+384.78 221.60 l
+389.07 217.54 l
+S
+350.47 176.69 m
+354.76 188.02 l
+359.05 175.36 l
+363.34 183.95 l
+367.63 186.92 l
+371.91 185.54 l
+376.20 192.66 l
+380.49 184.95 l
+384.78 190.23 l
+389.07 186.74 l
+S
+0.000 0.804 0.000 RG
+350.47 234.03 m
+354.76 250.26 l
+359.05 262.09 l
+363.34 273.81 l
+367.63 281.25 l
+371.91 289.18 l
+376.20 296.54 l
+380.49 301.80 l
+384.78 309.35 l
+389.07 313.66 l
+S
+350.47 160.81 m
+354.76 158.02 l
+359.05 130.57 l
+363.34 132.31 l
+367.63 116.09 l
+371.91 111.60 l
+376.20 105.36 l
+380.49 96.02 l
+384.78 93.69 l
+389.07 84.53 l
+S
+0.000 0.000 1.000 RG
+0.75 w
+[] 0 d
+346.18 200.30 m
+350.47 197.42 l
+S
+1.000 0.000 0.000 RG
+346.18 73.44 m 346.18 372.96 l S
+Q
+endstream
 endobj
-1970 0 obj <<
-/Type /Page
-/Contents 1971 0 R
-/Resources 1969 0 R
-/MediaBox [0 0 612 792]
-/Parent 1948 0 R
-/Annots [ 1974 0 R 1975 0 R ]
->> endobj
-1974 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [91.814 522.989 198.896 536.936]
-/Subtype /Link
-/A << /S /GoTo /D (cite.BroDav91) >>
->> endobj
-1975 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [205.358 522.989 230.763 536.936]
-/Subtype /Link
-/A << /S /GoTo /D (cite.BroDav91) >>
->> endobj
-1972 0 obj <<
-/D [1970 0 R /XYZ 72 720 null]
->> endobj
-1973 0 obj <<
-/D [1970 0 R /XYZ 72 700.324 null]
->> endobj
-1976 0 obj <<
-/D [1970 0 R /XYZ 72 316.246 null]
->> endobj
-1969 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F70 642 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1979 0 obj <<
-/Length 2765      
-/Filter /FlateDecode
+1951 0 obj
+<<
+/CreationDate (D:20070601023205)
+/ModDate (D:20070601023205)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
 >>
-stream
-xڥY[�۸~ϯ}��1W�H�����&@�
d�^��-{�+K^I�̤��Bʒ���t_l�"�����P?\���}j_K)�$y}�}m�kg"6���;��8,dt�ߥ�I��En����c�/�s���߫t�v�z����"�|}[.�*I�_h�$Q����X/��n����RFe]�n���k6��øP��
8T5=������ٶ

���}w[M7�h	�J�v܂
U=p�KU��X,����E�"X�F9�Ƥ$gy_�uy�TU ���� ��e:n�َ�S��'ʓ:6Oaq\���~@k�L�?��M�gԔ�>�I���v�Z���+	O�'���j��}�Y���K
-\��_���;�
���Su�Q�:"�����w�St�~����
6Ȟ��c��&JeN/��5�G虬�|���dF
��U��
��e��G���.�}�!�m
���nӪ	XN�V�R,�X���V(3��
z&
W�$��]`�
-��ۢ!�P�d��h5��j�ZdJ�@�|��V�Τ|p��TiD�c������9�9�L��}I-6��ձ����X+2q�k���DT�P�7C�ȁ�+�oSn�c=p�?�`(��z�.�u*�X91
��׎��-4n;�iw�
`4ͼ�=
-��S<�He��F.�,��uK��&"�^1`<
�b�w��K[������
�]�n���l

�v�'�n�g_������6GTPM����I�FJUYN�ϼ~�.��=�4��^
��V�{\�dΜ�Й��g��M�j�x�C^���ŝ��2V�5v($�8�
�>���<�:�xܿ�rlv�8r�(����4�P�1�dy����9�$Z�g�.��Y�

� eG�J��c����tm'�ͦ~�j�*3��ع�c��~
Y�O�����J>L
������ݗ2�J
��Ҝ6��d
B{)l��O9�k��MC �E��Y�3#�:��
>X����vBq`����B��
"�J�,�GTK�	�����5�L�=���R]�
��z3v��>�@�:U��C��Db��ӈ4��ހ�p�Cѹ첔G>�j��
�3��{ʖ�v�!�
�w4�@�<>FUW�#��g�~�ȯ�e|���uyz	 ��OS
l;Q����@ǩ��o����SD1�$�&z��9׮�����[-�_�\ �=�0=9*%�
pӑU�A
ipt�j�Nt��PJ����M�η-.�nx�M�g/���rV‡�9���Y e.�a�.��vz
*�䂀�z�B���Z��7�y
C �� �ctr.�
���	]x��sv⮺gCo=�9��0��b�=b	��2
-J�|��e�֨�
VU`ȧ� %�nP}%�r�Z�;.$�D�'���񤥞w�
x
B�L�$��y��ȵ�_��(�m��6�����/ߋ�����2�~�6$��G-�>�I��KT����L�7G팬(�4�p;W�'O{&��ܟ���
�N�����ÎiEn��IQp!��ġ!O�`�C��f�D�}W
Xt�@��n��
-�D��;� ���Å���3"���w5ć�����ٴ�,��*��b���LjƔ`�$��+a'W���iQ5,#RN�F���8��Y�غ��*m�d�bb��1ې��������x��
�KL���S���R�oCJ�ɞ繝�q̧��
T6/�O����y�yn�o�vC��1B��)|��Q5#��C�"α� �M���82����5����3%{W�] ��@ZpX��sXB�0�����)�d��Xm�>�^� �=eT`������ݣ*�'<ۖ�+
_��
E�pS4H �r)OD"ͬ/zO�J
tW12:ƚNx�VwΡ+��5s9���Ǜ�Xl�f����#3t�k���u[�|�w�]y �0b�s�3<��
��z��@��gW�n#��
�N�I����8����&8>z;m��G��3<
-���H,�
����E#�#

�lH-c�q}�?y}�C�N}�u��WtE<F���a��ViNW��|��0�p�Q��U1��ߊ��Vu(�]H�!�fn/��7V	iҠ�x]_p��#H;�r�xȷ��
E���
טg����{� ıy�/(�kq �Z�l~��
��
��
�&/+{���0C��y�@W�>]�<����i�X׻��
G�d7���
u`#i��71G�v�r�q*�f:�G���`(��_5���,멗Q��m��&d�DX�'F���N65��K&�c�F ���X�1N��[WN���)���C7ln:��@�d2
	~>Ѐ�~�4�H29��|�P`^���)�
�
-�����n����E�� Ś�y�i(֠w�x�1�ޒL��u<}��.{ ����@ԁ��[h
��b�����Mк����A����_��u!�r#�R���ˀ2��&����8��a�X�q��Q
[�$0��SbZ��΍sg�vp��
-����
e'��`��H��;*)
�PyR��D�oҫͦ��XN���:���B��W�u�5v?�0��o�E��Q:zx����S`�޿o����r?�IE��B>�r�3PN�
-�業�n혩�_C�G�[�_
#�����8��x�8��t��>LH4{U[
���S��ϰ���^�c6
�񓝌�pQ�ξ"�j�y���8�),�b��+��"� ��G��p��r��t�
���h�v_
R'��dx��n<C@
�lD?W���o�
l���w�r�g�0B^�"��š )p�ջ�W�J,Vendstream
 endobj
-1978 0 obj <<
-/Type /Page
-/Contents 1979 0 R
-/Resources 1977 0 R
-/MediaBox [0 0 612 792]
-/Parent 1948 0 R
->> endobj
-1980 0 obj <<
-/D [1978 0 R /XYZ 72 720 null]
->> endobj
-1981 0 obj <<
-/D [1978 0 R /XYZ 72 697.999 null]
->> endobj
-1982 0 obj <<
-/D [1978 0 R /XYZ 72 155.049 null]
->> endobj
-1977 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F78 924 0 R /F76 747 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1985 0 obj <<
-/Length 711       
-/Filter /FlateDecode
+1952 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
 >>
-stream
-xڭ�Ko�0
���>�@�Z���nɺ-СH�����J#̱Yi�?R��ko��|���OZ��.�d	�k���6*eT�Osк��z����Y�u�ł�q8K���)V�5C�;�9N�N$�X����=�	,�v�r#Y7q!�E���:,
m��
�MoK�g��$�م�	3��q:����m���$�����(9���m��p.���o��X]�b��;��[=M�|RYsY�(��9�|��
���<�W�=�-W��+�8�7��


-�]��=aA�$a�
-
!t��R�
-0�5|h�
˹�*O�)e�����X��`��f��
��:�R6Z��B&*�[�v#z��ҿ�E�5/�9�/ J��Ⅺ����`����M�\߱	��
�(8��EYw��+ʓ�"^�
�\��gdg�3B�z�@�
�8��U(H�����,��O{A��8��Pvo�����e
)�ߒ��$��wN$�
-.h�!p3_�:e����@{�U�nz
���w����y-
�0�^�������^7�����i���
�-X���|�8McO�
����SZ�o�� x�VX�/�"�!�rF��h#
i
-�!ڙ�UU�n	Rm�)y	�<
z��ƽ˔��U7�3�D�xϻlg<���a;G v�T�4������
����|�������d
�:UG��7�$n��Jo���-�S0�T\J�+���n���%A�ٗ��_��~�endstream
 endobj
-1984 0 obj <<
-/Type /Page
-/Contents 1985 0 R
-/Resources 1983 0 R
-/MediaBox [0 0 612 792]
-/Parent 1948 0 R
->> endobj
-1986 0 obj <<
-/D [1984 0 R /XYZ 72 720 null]
->> endobj
-1987 0 obj <<
-/D [1984 0 R /XYZ 72 615.849 null]
->> endobj
-1983 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R /F67 564 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1990 0 obj <<
-/Length 2462      
-/Filter /FlateDecode
+1953 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 1955 0 R
 >>
-stream
-x��YK������D!�v��M:�
^|�q�E6J�F4$rLR;���GS"%R^�� �E�guu=�j�}|����ϔZų���뙗��z�DJ�U$������k/{
c#|��$-[�`Y�?E�kDa��MX��|a�����DY���~���h}�t�i
�Y�������ɢ���'7خ�-�G\�27:�x�b�<����V"U	1��mqw�?{�94����Wt�3t��rM��<��yj;�I y�w�n�����Zh't�R��bZ���RCGK�F
�"C^���y*��X���7MQ��~�G�|��
���0Jw��m6�I�GÁ-�_xYࠄ�Y}��:&�|�u^"���V����4�A�2�?���hJ���W�d�E�qށt�l��c��ƈo������#ԔҸ>9=�$�{�u��6b�*E
-VX�h:+׬�F�l���bh����{n�X,�݉�&|y��P��dK�\�
�m�M5d�9��&�0��Jr��>1
PX"� +D�qb�w�
-
�}�E
��ue�'���
���<Y�8:�s%S��<V�kV��%ō"�H�.bLY�ЎXDמּE�;�����b��� �fA��P�˰jQ|�U��xyd���y�p_�N

!�3
�'��>���
����Z%œ=�7
���S��T��{B3Vĉ�oˌ��ߒ�8I�$�U�1��
����rTZv(�2�(7J(�������2�\���(X7i��+��S|��7�U$� �#B
���G�2�(i�ơe�,v %��O<��j�:%��p!�6��tF_H� ����g���C�6&�-CKfaO	�X�����|�;8��-/i�g<���'l��N�{�t�pۊ��$���
y�A\
Kڶ��������z
-eIۋ7w�����O��P��^b33����Gk0���'��JA��s1?a�h��c���Ŧ1���bl��`
-����&�P}��ä�wY���r<\���ԗmq1fFאa�^����O7Pm�1�	�2
���hC��u��$���ء���Z�%�&m��8@��g��;�S����M
��&���,�9v�ݵ�4y�#/D�k^���as�� �[.�h��/Z[@cP3-��1/_w]|���u`�Cv.C��:j���H��ETω����s
|�;
k0sl��Tb割ˎ�꺿
(��?�
-��~�!rQ�O�Y`3�~�P�h���,wX97m���P��
oy���p�~����H4=�
�7��]�<b�Y�L�8
-
�n2[�������

��됛aŚ|;���5�-��;�D�h�a���o9�q�h�@-������U ��#Y샲P��B����������&L���|>\^, ���C���Qk�(��Ιw��ģ��
-~��P�j
-i�ل�D�
]̮8
V��9��9S#�	m�&u
z�O�,�
��c%eӺ��aEn���.d���T�+��7��d��4ӻ�z�u��s����֟~̧�z��|��Fj*#R�~1��KBCr�C��N��A��R�F
����5��[sA �9�@'�Ϯh��(��`�
u|�uY;XW/�NX9,�ζ &��O�VY۽+�4e"t);|S��s��΁a�UW��2���Ւ�.5������ �vP����4��u��^�`|��4$.l!�
lk:м+N��2�Vt��;���]I05(�L�F)a�b-�!�-�;LEWB�4� ?�5��sހ�s��0�LM�Rb�#t���FlRt�Px�v��h���+'���z#�Û��W���PgT8�t}�}��-D� ��E��+�j�-�U���>I{a u�D5���g>c���v0�c�(W��:_��� )aY
��rjC��fr��%-Q�ɟ�.*�l�M[pF��
e�b�Ӫ�P�8v�;�<�m��E
T{hB�X�A�'?C��� �L���4U�^I ���RX���Z8���0;�s����Y�
�h 
4�TBSOA��	&�\����
�]Axi��*�qͣ٪�
$x��d
	Q*�"�n~U�A˧�|��;;���&����y=��c�sL���4�?=��'�8��
����Be�R-z�~��c��:���ʭ�pH�8r�G����7���n��Ex��̼C�4I�3���C�l�
-�U8
--�{�i�����~�0�U�;Rn>�f��ֆC��"�.
��U��߼.�^�x[
-UQ��f�]�
s~lD_Bz�XsK��U�%��-am�M��;�
���)����R�_�
��<�}.��v�3!#��!�����"V��������4
Q�ĥ��]_\��KIo�X��P.`7xxw��ϓ
+|��L!pN��m�zb)1)-lL�NL�l��-�.[��#.1��2L�1�|���^D��S@)\ya�m֟2�x^�{|�oj��endstream
 endobj
-1989 0 obj <<
-/Type /Page
-/Contents 1990 0 R
-/Resources 1988 0 R
-/MediaBox [0 0 612 792]
-/Parent 1996 0 R
->> endobj
-1991 0 obj <<
-/D [1989 0 R /XYZ 72 720 null]
->> endobj
-334 0 obj <<
-/D [1989 0 R /XYZ 72 720 null]
->> endobj
-1992 0 obj <<
-/D [1989 0 R /XYZ 72 517.501 null]
->> endobj
-1993 0 obj <<
-/D [1989 0 R /XYZ 72 406.376 null]
->> endobj
-1994 0 obj <<
-/D [1989 0 R /XYZ 72 139.834 null]
->> endobj
-1995 0 obj <<
-/D [1989 0 R /XYZ 72 144.815 null]
->> endobj
-1988 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F48 554 0 R /F51 1171 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-1999 0 obj <<
-/Length 1384      
-/Filter /FlateDecode
+1954 0 obj
+3277
+endobj
+1955 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
-stream
-xڽWK��6
��zrЉג�����l�E{�A/�
4����#�4;�=�o/r�d�̠z�%�"?�I��{���*�	�y>���D"b��g����
H��O�E.��Rs9�)�X��k_���b��݇Y2[�,βe��K
<��
����+h���E�ap����L�}ף�ޣD�O�I5,��W^G!]��ɷ���֝�

���G�h/D����
�&k��w�PkT�E��7�Q�P!4u��"�EtwtG��}/��G��ӒP�{�/�< D�P3�
�-E��%��´ʲU,WK�E[g�Ee2rs��
��1AJD���eO�S�v��;6�(�Tkܷ�þV-Ey�ɟ�y���k�DӒ+b�̄�Ǣ�*�1��q���ݫ��ڪ�L�3�%D�=�J �3�p7���&�G��bO�{��q]?�i+�'�F-
-q#=ୋ��-l)@_��Z��&ʴ�b*�y���\;�$2,�����D at F�'?���Ҿ��̣{���bq7Bbñ`@׊��<�^���th/"�
���q`WV3������-���
a���I��1� EqQJ��n	���0�
���ڴ~v4E��ѝ�
e^&�8�Գ�`I�����"��Ѹ
�8ӰY����WĦ�!�"��o��-G���)�Q���Ƕ�����f��3��p�HgNϠ�꺳n���H[
e7<o0�e�_��m�亳^�sxߍ$���YQ��ပ��
}U�ɂs���
��/_b��5�f$��$+�W"ҷ3h��y%��.݁
J�+��ڐr�-�ȪI��?�0���"s4��p�*��޽�ܳ��J�½nךb늱�lm'���*�L�
:�dS�{<�E�<;Lu��P�'�b��MC���;�p֜�	�����%6�aI�p
�2��������
�i�/
�~�{���)q\3�t�~>z,�Q��;|{;R,a��y!#�J�
QƐA�
���Tu�x��>��ӊۓ�F�+��k�������U��
��X��G��-�8�
̗"a�>�-J���o�G
�z�Q��U�i����|
�Q�fD�J�i6(�<
�s=x~�
��LT0��t�a��~8���)�zqve0�?�#e�Zʡ�;\?{"
�q�gwa���Ў�yxb;&
�r.�/c
{𗰚�2�5tO>��v��q,�Rfq^�#�
<N���Í
-���=n�}M�T�n?<��ls����+�����&���6	^#�K�A�A�Z ���,�a�K�:>�3�mةm!!Ʒ(�V�}m�;L��dk �u���W���O��
O���jH0�F�D�&h��S��
��p{_�u��Ntr�`
�_���&���D��p	yT�E��
V"J����ݛ ��9-endstream
 endobj
-1998 0 obj <<
-/Type /Page
-/Contents 1999 0 R
-/Resources 1997 0 R
-/MediaBox [0 0 612 792]
-/Parent 1996 0 R
->> endobj
-2000 0 obj <<
-/D [1998 0 R /XYZ 72 720 null]
+1949 0 obj <<
+/D [1947 0 R /XYZ 72 720 null]
 >> endobj
-2001 0 obj <<
-/D [1998 0 R /XYZ 72 418.962 null]
+1950 0 obj <<
+/D [1947 0 R /XYZ 72 251.491 null]
 >> endobj
-1997 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+1946 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im6 1945 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2004 0 obj <<
-/Length 2103      
+1959 0 obj <<
+/Length 619       
 /Filter /FlateDecode
 >>
 stream
-x��ێ��}�˜'
3$ERT�h��AS� E��A3��h#[�$gf����s�dɦw=��"//���s���y��[�J�������;��l�I/������T,W���M�]�,闫T��M�W��_��j�������O]��l��J%�VwE]���5~��
-����#��}����~�]&`����
||
'i�^��懅2 �_��y�H��5�<P�K
dIWl`yW���*�E$߼��D?r��Nh�	۟�+�
�x_�"��A���
k����L�sT��'��oKk��4El O*O6'|��w7�?(��������C��!m���Ɛ�2��
���Nd�m�'%��T^�4[
`�#��p�\NI���&��Ǣ-Y��لQ���S׬��yW�
+2�U*�H-4�����ZP�v6�;�`�x��m]v��2��dV�,"
���h%\�"/�*-�����D�
�A.d�\p�~K� Gs+�@qձ
<���m�p�
=�\
�D�	�٠���K�Y��1�s�7���3>���F�+Z��o����uۡP8�����=���?}1
��
^Q���߫;
6x�܍��p|���
-B]|�B�sBI=�ČxO��P�+Z@]?�6{�#�k֪6�I?�U>c�!;��3��#�A��DBK��pn���� ��
BF�z���h�u���麙�w��Y*n>T��u��(
I4G)�-
-�#x3�U$������v{4�M���
-
-F���A+�
-�o�X,Iݏ�R���R
��]�<��O�&m���m�l�%v�Xa�ly��y
 ��� , !I�4�#ޘZ'��!�ۉ�$��,���ډ��)��3h����1p�oe��G�.�U{
-L(
�C5q?�+i�Re��
�Uj�+q�8}�<Sv�
sş��jT&L�!����B$�?
��
54hy��U
�e�qO%�
D9��pSu
u�X�p����SP
U�i�W	r4^/<$Q��sُ�������B{ �X�� 癏��Jz>�
:�0��
!��X�!
�oa�\伯� �=�b�ڠ��5{��Xjpb�@>
v������S�
a��@[f� ��DTKl�i�B���H���E<�M]S����4 ��G4yE1-�e- U

-FO�̐��.x�:h�����q@� Cq�]���j[��%+�������f�g���3��է���|���Z/0g����S�չFdi:�v�a�&�5R%��_q�
T��( ��4�,��Z��+J}c�s:�����7����҈���!�/V�$�|�a���vm�uG�0��Y빧��
-n����1�?�^
�&���W�QY�nȮco��೔�6�I���B�(����0
�7�&�!hu��Ċ�
��a�Da�
�
�l
-���r5/���b~UW��y��ƈ���V�࠸w�B������i*\5N74�뎧mx} ;r�d�
�U,Oá8*��@[փ�u�Վݲ,��T�ۣs�p�\��v'	��D�>_�0�����1Xu��l����$��fj�~P�α��͓���ހ��?{4�[��

==��w�
�%�܎�qW�)���ipC��F�����V�(p��<��/�jeU�e<=�MoA�
l�}�8ǢCH����,H�Jx�?K?� dfFgߨ�����!��lx'd���7���P,^�D����!ߤ6�[�f����5b0�B�;��<�
\yi|��Tdթ�|�ZɘK�m�Ẁ��;�JrT~
����#�wb\i6;�l�m��E�
W՝��,%���8A�K������rG
���g�c���uu&�B��j8���AK��'�B���%�ǚPe8#u�ӹˎ�h�=�u&�`���r��߻���ӿ�b����_���_~=��/�|o��Jq�Is�<�����*;�eV�8si��l��Y�Y�Ӡ�3��f����sI��c��d�G�
��S�
-��W)+줣�V`�(�L�n���X���`���
��5Dke��ο��d�^��y��Kh)�ԍ$e�}�����ާ�����3ȩOG�/J��
�)�`a��9����%����ܼ�h�Dendstream
-endobj
-2003 0 obj <<
-/Type /Page
-/Contents 2004 0 R
-/Resources 2002 0 R
-/MediaBox [0 0 612 792]
-/Parent 1996 0 R
-/Annots [ 2007 0 R ]
->> endobj
-2007 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [282.699 464.938 290.544 477.889]
-/Subtype /Link
-/A << /S /GoTo /D (Item.220) >>
->> endobj
-2005 0 obj <<
-/D [2003 0 R /XYZ 72 720 null]
->> endobj
-2006 0 obj <<
-/D [2003 0 R /XYZ 72 720 null]
->> endobj
-2008 0 obj <<
-/D [2003 0 R /XYZ 72 293.694 null]
->> endobj
-2002 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F29 672 0 R /F48 554 0 R /F76 747 0 R /F67 564 0 R /F51 1171 0 R /F78 924 0 R /F32 668 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2011 0 obj <<
-/Length 3350      
-/Filter /FlateDecode
->>
-stream
-x��[K��6�ϯ�aR�B��-_RW%''qm��F���cBR~���@
-�@=�c��j/3|�
��_wC?�����H������D鉡�P	V��o8����~����@�2TM���]釘x�H�4����,�j9�
��˙������ۖ�v6g�&7���@e��͹���5�/�i
����bƦ�}���k�������ZWmU6��"�n8���o�`~�bC
-�C4�r2���
z�Y�f��a�s\����Mհ�7T��� �����̦`������2BM�'������\���d.�"���H���

iU`-\������Վ��1'zx��0�
�n� ���
-��7��m��&�YaX/�U?N��8�<'XA4gGr�vT�4'!K
-�#�RJ�D���gi��$
����u�K֕Pb9N
-��ۇQ��V���['�2���zc푖H�jO]�8��m�w�ں�"	;-���
-�vQn�[�h���~����Hj��ђ7�6œB����}�̏�����\,�Ż@�)�3%�Am���O׭��[��\@�S&��?9�
-\��2_��[c�Ev*��[,��K
������N؄+�:8
C�*&���_7�����N~��n��
�(&�c��"ܮo�����5��#j?c8H��O)�[לs>���+?=
���ѷ��g2�fͫ ��ÐO9n*�cgL�iyb	L�(��`�))'�	gD at T���ޠ�e
�"�v�$7�%V��gy7��6��t\�{��Bv�g(b�����
&0�KrN�VPA�˴B�RN�ψ�2a�R���ȋ0���PdE8��XvB�3�'�
�i�~΅"�Y	(�W�����L0�+���D��o���C���˦
��&�A�a0�5 
��Fax��l1��#�pM�{\��ehB�c;��U�!EXE/Ͽeh������| ��+R� ��k�v�������y��t�C��np��{ad � �����j�����
΃9����8����(�����j���:ď-
-]� ��r at m���F4�&qyD�cX���F;7Sb3��������S
-P�H���S�*V�vJW�, l=���6��\���AAl
����?XUM�h���;�x�N�R�T�l���~���i�v�F(;Eu��w
��E������F�Z��1���A=T=�e�y')�c������,�7�ȯ��
�p+�v|�u�\8��6 ��P�;JU
�
Vl�C2B�M��3h�k��� $����oQ��
P�dB r3�,/��y�
���S��GŃ
-B1�h����XH�{I@��Ϛ1�G����
�s
�I�/� ��5��9�-���Mը�P��A}?X�H��Gi\�!
�Bc�A,z�a����g%p�jp�H%"V���ec`��rT�@��E��<���^��؇���B�p�����g�a|V�
�yD���ĝwS$��;J��i
-"�x	�;
�!�9���u�ύ�.��A6.��3Zx����B�cp��J�7:�d_�/�<��aTG��b�а.IG �H�LiE�Rp%�,�8�}�k�W��t[޵^Q�7�}�۹�j�K�>�}V�
0V�����X0
��~W�ƪ��qޛ�
�ʜ�k$!�2�1��4���x��(�N<�t)�=-Z9Z�T
���s�`
����su:��
"s*g�N@�BrWϒ�ճ�(����a�A�>�n6Brؤ�F��d�({�>��‰<Ni��7��y�Z<Hcٜ,��S |��ia?]
BSyz5qYQ�)��GK�(��c�-��^�:}�oS�y�K�
2��E#C�@ː�i�0>e��Þ�0
fi�
-&�u(�K�]y�� ��I~h7��>�lZ��7�����m����3ە�2�DcY��ۑܤ/�Eio�<�VE`N?��᣾7�����

	K_��E�rB��ļ�ft� yF��ϥX�'������+Q��6K��T�\R�?�֌��`���,�)��9E|k
�����p���X(|�����t���&E_y|	���C}Y
UDeO��ea��jYWŋ��N
��M�X���3��r�����7�=�
US,��9�A�
����򏊰X�y��v����t
�����
'an\A�nB�hU�� а]vV���dL!�������w�
E|��y7�����9.�
�,<]ԡ�y�׵g���f�����8j�1,��!M��7�;Đ ��
�H�T4b
nA
W2�:
�$�橑�
z<��|}.2��I�h��+HB
:�E�]Z�K�n��
���
������@!Q��8)P~�@���7��B��QGXs���Ӧf�Q���ݸ�y�K���?�et��N�QP�>Y����/*�3�s��?�8��`Y��>�U��'<1b�����'�����'���:���8w�4s�t-(n �‚Ζ���̎�s�yD.s~�d&\���%��C<0eD�~� ���=��c��.w�Uz��ó����m��p\��s�+�4x�U/�=Z�������68Fx�����MٻI��A�e��� ��
�	-A��$��X�ԁr_$�L���q\:���t�7n�q򁻭w�p&�r:0)�>\H����2+�ł�75��/�A�F�r
�yD��m�B�`|�~y
B8��5ݘR��&�}����
-����gg@�����
M-	�&��ʇ$E��.Iz��L�|���(\�
-��h�9w������;��H 6�|��D�[��
��Kb8S#��z7�y�j�E"�L����.[r,��A��w�~��Qo�U
-���m'%��u��
��II@H�*��v�/٢��ˠ�s%x�{{����8ȿ
-)r�m��`�.���5�\o�`����aSG`�L
\1�V�4uD��ROt�x�q��
A�0+���ߍԟ��!�[Mvݫ�����T¯��4ݝ
���
-�(
-�z���z��ɍ��Uʦ����fw��_�	 �]����
�z�2_lq�����)�U!X��|zﲰ�
�4�O�9�?�iQ_��Q���B�

�Π�s����j.\o >�o�e�.�Cf.�KȻr%R����>{v�P����qxO2���1��
��&���x�e��\�w�e�?�·���
8�۱ӷ���
�DI�
��iM��P�H�p=��AM���C������I�{W�? ��ެ�	rd���[��7^���M�h�M~�*���w�%᫦u��s>��5�M�*?-ˇ�{�k07����5�]T��,m�'r�F7���b��ίf35���~�k9���WqԵ&�A���0ïZ,Gu���'&P!endstream
+xڵTMo�0
��W��`�bI�,[�V`��mݡu�.@
7qR����(*���;�����H�z:��
+S0!�ӚM�Ld�K�Y�Y��5��\�S-U����h`�`la�p�	�i��0���{�g:��ۻ�"���z��hZv��<�!����[��FK�t疶k�:䰣�����ƒ�����(����;�X*r����0N��z�+�
�4���V��� %/�D���"�%�RJ��>.�D�o�t�Wm0���a���V�`�����'wu��eU����=��g�/�qG�פ͆�-(EO^
M�a���Do�Ψb��?% T��d�_�z���
ύ��l�u:��1��R<W���q�+�[��[c�`ӝ����J�ou��4���;��7� _��W
+�p����qk���|�[���6/��5��}&r�R�[3��#�����;p!wʱH�<Hz�
kb�s�T�[SR�������e<��|Ci��ڛ=�'6��*�)�uR���.D���G�
�
��ϋ���W�=
�����e��2��
+������s�Ȼ#����X��cM�5o04��pu�z��E��M�F���
+<�FU�6Q.
��4w�`'Yk1A�acc��t��endstream
 endobj
-2010 0 obj <<
+1958 0 obj <<
 /Type /Page
-/Contents 2011 0 R
-/Resources 2009 0 R
+/Contents 1959 0 R
+/Resources 1957 0 R
 /MediaBox [0 0 612 792]
-/Parent 1996 0 R
->> endobj
-2012 0 obj <<
-/D [2010 0 R /XYZ 72 720 null]
->> endobj
-2013 0 obj <<
-/D [2010 0 R /XYZ 72 593.57 null]
+/Parent 1943 0 R
 >> endobj
-2009 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F32 668 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F35 1440 0 R /F54 1447 0 R /F52 1472 0 R >>
+1956 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/arima-Example2Plot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 1962 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2016 0 obj <<
-/Length 2827      
-/Filter /FlateDecode
+/Font << /F1 1963 0 R /F2 1964 0 R /F3 1965 0 R >>
+/ExtGState <<
+>>>>
+/Length 1966 0 R
 >>
 stream
-x���n�����h9t�r�dq�9Ā�/�%H���$�I�dk� �����&[�3�l�E"�^�z�������י_(%r��
�
�.2酴���u�F+�����o_�tO�t
I0�W�qz�n�M�W+�l�b�kjyӖ�j�JԲ���	��f��t�)qg۽�U��K�.V�/oW:[�m���M
/t�����۲�we��=/�o�2�+o�
�drˆ�r!�
�Hd/VHw�k��\� 
Su���_$V9��n�(+�M	��v�P��e52���W����0\�2%
��.mE*=�R�s�����,�Lj�HS#Rg����g��&�3���L
-
��g)���3`�j
^�g?�eĕ
Ȓ	���J��*�R�4͉��Y\N-2�g�E��ʱ)�Ĕ\$��9������)-�7A¯T�A>��:0������f+�΀���p�4��_�0s�
1��B��v����G$Z8�z��{'�]�|�B
���;p�`;�-�4!�G�:�
�=@
Қ�
-�Pf�3�d6�y&SB��d5����)�R�D�6��� ����f�Y�9��C�;�	�zr�+'Y�T�,=E��
�+UVMa,(S�a�Q�S�F�O@��dh!��+}�������kj6�ƨ��"�X0£�
�.�6���bb�pY:�|Pd
��{|��.��	m���#�����'�z�j�)�%���-#��F�OSJ&2?U?�}�:�����1���J9�
SӶ�)�4���ʹe�V~�-�s������8
�
=ʘ�}��tZV����3� �ͬ��<x+ݎ����ʌm��
-�B����/�*���Jf���.�J��o�^^����7�X%�����O�@OUBU�_��q��v(���  d����
 �}x�>���e�#�*h
�<��wh��3f����8�r�Vo�W
p�s8�)�K�`��Y�b��K|@9��=� ��+י�
-nf	d���˘�@�Tj�6+:��}j�\�R�r�yٲ�Һ�}4
�V�e���ɱt�C��cqq�€J������<
�P�;]��ݰ��;]��Ky��8�����(�[]O��C�
��b���uy���PG�XF��9
t"���|������~�ǮI��
�X��Pj���$^��i6s<��
�R�ԟ�H��
�t� �� �-����b@�K��9�?Wd3�����K~,
�����!���u��v ZPh�5-:�����
���o�\U������M`�Ld����ao��"k
-+�1�r]q�����l�!?V��_�}
���}'���Μr�?�c��v��DIWW
����(�)��|��l0�l�����7x�B5~��7$��P}�tUTL�����1�k�
���Al�(}&�t��T��9 �.8B�
�Y�-�l�
R
��C��c����<"�H�
��*�"d1�iߍ	k��BV�TA|�T�jx�-zHʑ�yN��
5&�20�r��
k:�H�^^���݂������\
��sƳ �Dj�u�)nu.�9%�lVyJ�
D�)�)���#x8�����q�"�V
-��A�9�����-�
��nEȑ�
3,�e)'���T2��n;	$@�.ɶ@�:a
�g�'��q�L3?
�rL�
RL�+�p���m�8������f)%�&��s��Ӿ����a�7�@�r�v[u\���fl �A߾
	f6�K#��&J��)>
-�m�;�m�+9kt�whi[
^��N�Ʀ"��L
\� ;��R���#��*��>��u�c���C�A��V���e4S�
��
i �s���X��=�Ǻ�K��
c�l��|�Zk
�V�n��i������^�cL�d�[����$�'�x�*並ޠFn�r/���C-��l�	�k6꺎Lxr���G�-��z�ʸ��
muU'
U��
5����X 
v���0#A�ɐ��XM@���K/U���J�<Mz[(<�`�������U۩N��Hׄ��I��6�H�g���1L��0���U��h��<i��O6{�j�r0i�Vm[vп=a��W�˞g�����?�3�6f��H3u":����@0�oJ��R�ޜ�ˡU��r�V��E�q�9g�ȕ{&(bo9
��,M�~F^R6�g)	|7
� �u��t�c��N�V�O0�c9Y�'b�QB�0�x�v�j
:}U�O�M��zs��ص�vmq!�NH����I�&0�}���$cބ^���F7XfKC
��\ƨ�2M�Q�ã�H��LZ����?~�
p�����e0P&,�
���Yep�;2T��36*��H����"՜(�'N�f؎$�B�@��!k���배nؘ��]��U��^��X
�i�'�<[��
��
�S�P�Ԁ���8���7�2?��x�����$t�%0k� �v�o��>�Y��rGR�-�����f�yn�>!�E�.�QD3����3�%���l=�MI���l����	�X��L�Ka����aF����WG�x
-^i� d>������I�;��rrZf�HM
��
O ��ۓ�xv�l��i�s�q&�P�
�Ad���[�(����T9z�D�:�@6��ѧ2��-�w�.Yz[�W�^�c�
R��f�]`1#�����5�Q��0�������k��V�2-l�?`�v�#���^�Cm���/�h�?P%�EG_�X��Ek�R��k�D
-_��"�x�:Q��O%#�`0Qo�LS��	���.�,�E{Wu�p.��$�2|�N���E[�K�5+��/�f��8Gy��%��(w�T�s���o�
 ����4f�rendstream
-endobj
-2015 0 obj <<
-/Type /Page
-/Contents 2016 0 R
-/Resources 2014 0 R
-/MediaBox [0 0 612 792]
-/Parent 1996 0 R
->> endobj
-2017 0 obj <<
-/D [2015 0 R /XYZ 72 720 null]
+q
+Q q 59.04 289.44 342.72 83.52 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+71.73 317.72 m
+78.79 316.53 l
+85.84 320.98 l
+92.89 311.20 l
+99.94 309.42 l
+106.99 313.87 l
+114.04 312.98 l
+121.10 347.95 l
+128.15 369.87 l
+135.20 368.09 l
+142.25 366.31 l
+149.30 362.17 l
+156.36 359.20 l
+163.41 354.31 l
+170.46 348.98 l
+177.51 349.12 l
+184.56 343.91 l
+191.61 338.76 l
+198.67 331.64 l
+205.72 332.89 l
+212.77 328.53 l
+219.82 331.34 l
+226.87 324.98 l
+233.93 320.39 l
+240.98 317.87 l
+248.03 329.33 l
+255.08 337.87 l
+262.13 331.34 l
+269.19 323.64 l
+276.24 319.50 l
+283.29 319.20 l
+290.34 304.09 l
+297.39 310.61 l
+304.44 305.28 l
+311.50 317.42 l
+318.55 311.64 l
+325.60 304.67 l
+332.65 303.50 l
+339.70 305.87 l
+346.76 297.56 l
+353.81 299.64 l
+360.86 298.31 l
+367.91 302.31 l
+374.96 307.06 l
+382.01 300.83 l
+S
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 217.07 234.72 Tm (Time) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 12.96 282.82 Tm (Time Series Value) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+64.68 289.44 m 346.76 289.44 l S
+64.68 289.44 m 64.68 282.24 l S
+135.20 289.44 m 135.20 282.24 l S
+205.72 289.44 m 205.72 282.24 l S
+276.24 289.44 m 276.24 282.24 l S
+346.76 289.44 m 346.76 282.24 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 61.35 263.52 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 128.53 263.52 Tm (10) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 199.05 263.52 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 269.57 263.52 Tm (30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 340.08 263.52 Tm (40) Tj
+ET
+59.04 302.31 m 59.04 355.64 l S
+59.04 302.31 m 51.84 302.31 l S
+59.04 320.09 m 51.84 320.09 l S
+59.04 337.87 m 51.84 337.87 l S
+59.04 355.64 m 51.84 355.64 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 295.64 Tm (50) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 331.19 Tm (70) Tj
+ET
+59.04 289.44 m
+401.76 289.44 l
+401.76 372.96 l
+59.04 372.96 l
+59.04 289.44 l
+S
+Q q 59.04 289.44 342.72 83.52 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+BT
+/F1 1 Tf 1 Tr 7.48 0 0 7.48 386.10 303.71 Tm (l) Tj 0 Tr
+1.000 0.000 0.000 RG
+ET
+389.07 292.53 m 389.07 320.07 l S
+381.87 292.53 m
+389.07 292.53 l
+396.27 292.53 l
+S
+396.27 320.07 m
+389.07 320.07 l
+381.87 320.07 l
+S
+0.000 0.000 1.000 RG
+389.07 299.30 m 389.07 309.61 l S
+381.87 299.30 m
+389.07 299.30 l
+396.27 299.30 l
+S
+396.27 309.61 m
+389.07 309.61 l
+381.87 309.61 l
+S
+382.01 300.83 m
+389.07 306.30 l
+S
+Q q 59.04 73.44 342.72 83.52 re W n
+Q q 59.04 73.44 342.72 83.52 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+71.73 76.53 m
+72.35 76.53 l
+72.98 76.54 l
+73.60 76.54 l
+74.22 76.54 l
+74.84 76.55 l
+75.46 76.55 l
+76.08 76.56 l
+76.70 76.56 l
+77.32 76.57 l
+77.94 76.58 l
+78.56 76.59 l
+79.19 76.60 l
+79.81 76.62 l
+80.43 76.64 l
+81.05 76.65 l
+81.67 76.67 l
+82.29 76.69 l
+82.91 76.71 l
+83.53 76.74 l
+84.15 76.76 l
+84.77 76.78 l
+85.40 76.80 l
+86.02 76.82 l
+86.64 76.84 l
+87.26 76.85 l
+87.88 76.86 l
+88.50 76.87 l
+89.12 76.88 l
+89.74 76.88 l
+90.36 76.88 l
+90.98 76.87 l
+91.61 76.86 l
+92.23 76.85 l
+92.85 76.83 l
+93.47 76.82 l
+94.09 76.80 l
+94.71 76.78 l
+95.33 76.75 l
+95.95 76.73 l
+96.57 76.71 l
+97.19 76.69 l
+97.82 76.67 l
+98.44 76.65 l
+99.06 76.64 l
+99.68 76.62 l
+100.30 76.61 l
+100.92 76.60 l
+101.54 76.59 l
+102.16 76.58 l
+102.78 76.58 l
+103.40 76.58 l
+104.03 76.58 l
+104.65 76.58 l
+105.27 76.59 l
+105.89 76.60 l
+106.51 76.61 l
+107.13 76.63 l
+107.75 76.65 l
+108.37 76.67 l
+108.99 76.70 l
+109.61 76.74 l
+110.24 76.78 l
+110.86 76.83 l
+111.48 76.88 l
+112.10 76.94 l
+112.72 77.01 l
+113.34 77.09 l
+113.96 77.18 l
+114.58 77.27 l
+115.20 77.38 l
+115.82 77.50 l
+116.45 77.63 l
+117.07 77.77 l
+117.69 77.93 l
+118.31 78.10 l
+118.93 78.29 l
+119.55 78.50 l
+120.17 78.73 l
+120.79 78.98 l
+121.41 79.26 l
+122.03 79.56 l
+122.66 79.89 l
+123.28 80.25 l
+123.90 80.63 l
+124.52 81.05 l
+125.14 81.49 l
+125.76 81.96 l
+126.38 82.45 l
+127.00 82.98 l
+127.62 83.52 l
+128.24 84.08 l
+128.87 84.65 l
+129.49 85.24 l
+130.11 85.83 l
+130.73 86.43 l
+131.35 87.04 l
+131.97 87.64 l
+132.59 88.23 l
+133.21 88.83 l
+133.83 89.42 l
+134.45 90.00 l
+135.08 90.59 l
+135.70 91.17 l
+136.32 91.77 l
+136.94 92.37 l
+137.56 92.99 l
+138.18 93.63 l
+138.80 94.29 l
+139.42 95.00 l
+140.04 95.74 l
+140.66 96.53 l
+141.29 97.38 l
+141.91 98.29 l
+142.53 99.27 l
+143.15 100.31 l
+143.77 101.41 l
+144.39 102.59 l
+145.01 103.83 l
+145.63 105.13 l
+146.25 106.50 l
+146.87 107.92 l
+147.50 109.38 l
+148.12 110.88 l
+148.74 112.40 l
+149.36 113.93 l
+149.98 115.48 l
+150.60 117.01 l
+151.22 118.53 l
+151.84 120.02 l
+152.46 121.48 l
+153.08 122.90 l
+153.71 124.27 l
+154.33 125.60 l
+154.95 126.86 l
+155.57 128.07 l
+156.19 129.23 l
+156.81 130.33 l
+157.43 131.38 l
+158.05 132.38 l
+158.67 133.34 l
+159.29 134.26 l
+159.92 135.14 l
+160.54 135.99 l
+161.16 136.82 l
+161.78 137.63 l
+162.40 138.43 l
+163.02 139.22 l
+163.64 140.01 l
+164.26 140.80 l
+164.88 141.58 l
+165.51 142.37 l
+166.13 143.16 l
+166.75 143.95 l
+167.37 144.74 l
+167.99 145.53 l
+168.61 146.31 l
+169.23 147.08 l
+169.85 147.82 l
+170.47 148.55 l
+171.09 149.25 l
+171.72 149.92 l
+172.34 150.55 l
+172.96 151.14 l
+173.58 151.68 l
+174.20 152.16 l
+174.82 152.58 l
+175.44 152.95 l
+176.06 153.26 l
+176.68 153.50 l
+177.30 153.69 l
+177.93 153.81 l
+178.55 153.87 l
+179.17 153.86 l
+179.79 153.79 l
+180.41 153.66 l
+181.03 153.48 l
+181.65 153.25 l
+182.27 152.97 l
+182.89 152.65 l
+183.51 152.29 l
+184.14 151.88 l
+184.76 151.45 l
+185.38 150.99 l
+186.00 150.50 l
+186.62 150.00 l
+187.24 149.47 l
+187.86 148.94 l
+188.48 148.38 l
+189.10 147.82 l
+189.72 147.25 l
+190.35 146.67 l
+190.97 146.07 l
+191.59 145.46 l
+192.21 144.84 l
+192.83 144.19 l
+193.45 143.51 l
+194.07 142.79 l
+194.69 142.03 l
+195.31 141.22 l
+195.93 140.35 l
+196.56 139.42 l
+197.18 138.42 l
+197.80 137.34 l
+198.42 136.18 l
+199.04 134.94 l
+199.66 133.62 l
+200.28 132.23 l
+200.90 130.78 l
+201.52 129.27 l
+202.14 127.71 l
+202.77 126.11 l
+203.39 124.49 l
+204.01 122.87 l
+204.63 121.26 l
+205.25 119.68 l
+205.87 118.13 l
+206.49 116.64 l
+207.11 115.21 l
+207.73 113.87 l
+208.35 112.61 l
+208.98 111.43 l
+209.60 110.35 l
+210.22 109.35 l
+210.84 108.44 l
+211.46 107.61 l
+212.08 106.88 l
+212.70 106.21 l
+213.32 105.61 l
+213.94 105.06 l
+214.56 104.56 l
+215.19 104.09 l
+215.81 103.65 l
+216.43 103.23 l
+217.05 102.81 l
+217.67 102.39 l
+218.29 101.96 l
+218.91 101.52 l
+219.53 101.06 l
+220.15 100.57 l
+220.77 100.05 l
+221.40 99.51 l
+222.02 98.93 l
+222.64 98.32 l
+223.26 97.69 l
+223.88 97.04 l
+224.50 96.36 l
+225.12 95.67 l
+225.74 94.97 l
+226.36 94.27 l
+226.98 93.56 l
+227.61 92.86 l
+228.23 92.18 l
+228.85 91.51 l
+229.47 90.86 l
+230.09 90.24 l
+230.71 89.64 l
+231.33 89.08 l
+231.95 88.55 l
+232.57 88.05 l
+233.19 87.59 l
+233.82 87.15 l
+234.44 86.75 l
+235.06 86.37 l
+235.68 86.02 l
+236.30 85.70 l
+236.92 85.40 l
+237.54 85.12 l
+238.16 84.86 l
+238.78 84.61 l
+239.40 84.38 l
+240.03 84.17 l
+240.65 83.96 l
+241.27 83.78 l
+241.89 83.60 l
+242.51 83.44 l
+243.13 83.30 l
+243.75 83.16 l
+244.37 83.04 l
+244.99 82.94 l
+245.61 82.84 l
+246.24 82.76 l
+246.86 82.69 l
+247.48 82.63 l
+248.10 82.58 l
+248.72 82.53 l
+249.34 82.48 l
+249.96 82.44 l
+250.58 82.40 l
+251.20 82.36 l
+251.82 82.32 l
+252.45 82.28 l
+253.07 82.24 l
+253.69 82.20 l
+254.31 82.15 l
+254.93 82.11 l
+255.55 82.06 l
+256.17 82.02 l
+256.79 81.98 l
+257.41 81.93 l
+258.03 81.89 l
+258.66 81.85 l
+259.28 81.80 l
+259.90 81.75 l
+260.52 81.70 l
+261.14 81.65 l
+261.76 81.59 l
+262.38 81.53 l
+263.00 81.46 l
+263.62 81.38 l
+264.24 81.29 l
+264.87 81.20 l
+265.49 81.11 l
+266.11 81.01 l
+266.73 80.90 l
+267.35 80.80 l
+267.97 80.70 l
+268.59 80.61 l
+269.21 80.53 l
+269.83 80.46 l
+270.45 80.41 l
+271.08 80.38 l
+271.70 80.36 l
+272.32 80.37 l
+272.94 80.40 l
+273.56 80.46 l
+274.18 80.54 l
+274.80 80.64 l
+275.42 80.77 l
+276.04 80.90 l
+276.66 81.05 l
+277.29 81.21 l
+277.91 81.37 l
+278.53 81.54 l
+279.15 81.70 l
+279.77 81.85 l
+280.39 81.99 l
+281.01 82.11 l
+281.63 82.22 l
+282.25 82.31 l
+282.87 82.38 l
+283.50 82.42 l
+284.12 82.44 l
+284.74 82.44 l
+285.36 82.42 l
+285.98 82.38 l
+286.60 82.32 l
+287.22 82.25 l
+287.84 82.16 l
+288.46 82.06 l
+289.08 81.96 l
+289.71 81.85 l
+290.33 81.75 l
+290.95 81.64 l
+291.57 81.53 l
+292.19 81.43 l
+292.81 81.34 l
+293.43 81.26 l
+294.05 81.18 l
+294.67 81.11 l
+295.29 81.05 l
+295.92 81.00 l
+296.54 80.95 l
+297.16 80.92 l
+297.78 80.88 l
+298.40 80.85 l
+299.02 80.82 l
+299.64 80.79 l
+300.26 80.75 l
+300.88 80.72 l
+301.51 80.68 l
+302.13 80.65 l
+302.75 80.60 l
+303.37 80.56 l
+303.99 80.52 l
+304.61 80.48 l
+305.23 80.44 l
+305.85 80.41 l
+306.47 80.38 l
+307.09 80.35 l
+307.72 80.34 l
+308.34 80.33 l
+308.96 80.33 l
+309.58 80.33 l
+310.20 80.34 l
+310.82 80.36 l
+311.44 80.38 l
+312.06 80.39 l
+312.68 80.41 l
+313.30 80.42 l
+313.93 80.42 l
+314.55 80.42 l
+315.17 80.41 l
+315.79 80.38 l
+316.41 80.35 l
+317.03 80.30 l
+317.65 80.25 l
+318.27 80.18 l
+318.89 80.10 l
+319.51 80.02 l
+320.14 79.93 l
+320.76 79.83 l
+321.38 79.72 l
+322.00 79.62 l
+322.62 79.51 l
+323.24 79.40 l
+323.86 79.29 l
+324.48 79.17 l
+325.10 79.06 l
+325.72 78.95 l
+326.35 78.84 l
+326.97 78.73 l
+327.59 78.62 l
+328.21 78.51 l
+328.83 78.41 l
+329.45 78.31 l
+330.07 78.21 l
+330.69 78.12 l
+331.31 78.03 l
+331.93 77.95 l
+332.56 77.87 l
+333.18 77.80 l
+333.80 77.74 l
+334.42 77.68 l
+335.04 77.64 l
+335.66 77.59 l
+336.28 77.56 l
+336.90 77.53 l
+337.52 77.50 l
+338.14 77.48 l
+338.77 77.47 l
+339.39 77.45 l
+340.01 77.44 l
+340.63 77.43 l
+341.25 77.43 l
+341.87 77.43 l
+342.49 77.42 l
+343.11 77.42 l
+343.73 77.42 l
+344.35 77.42 l
+344.98 77.42 l
+345.60 77.43 l
+346.22 77.43 l
+346.84 77.44 l
+347.46 77.45 l
+348.08 77.46 l
+348.70 77.47 l
+349.32 77.48 l
+349.94 77.50 l
+350.56 77.52 l
+351.19 77.53 l
+351.81 77.55 l
+352.43 77.57 l
+353.05 77.58 l
+353.67 77.59 l
+354.29 77.60 l
+354.91 77.61 l
+355.53 77.61 l
+356.15 77.61 l
+356.77 77.60 l
+357.40 77.58 l
+358.02 77.57 l
+358.64 77.54 l
+359.26 77.52 l
+359.88 77.48 l
+360.50 77.45 l
+361.12 77.42 l
+361.74 77.38 l
+362.36 77.34 l
+362.98 77.30 l
+363.61 77.27 l
+364.23 77.24 l
+364.85 77.20 l
+365.47 77.17 l
+366.09 77.15 l
+366.71 77.12 l
+367.33 77.10 l
+367.95 77.07 l
+368.57 77.05 l
+369.19 77.03 l
+369.82 77.02 l
+370.44 77.00 l
+371.06 76.98 l
+371.68 76.96 l
+372.30 76.94 l
+372.92 76.91 l
+373.54 76.89 l
+374.16 76.87 l
+374.78 76.84 l
+375.40 76.82 l
+376.03 76.79 l
+376.65 76.77 l
+377.27 76.74 l
+377.89 76.72 l
+378.51 76.70 l
+379.13 76.68 l
+379.75 76.66 l
+380.37 76.64 l
+380.99 76.62 l
+381.61 76.61 l
+382.24 76.59 l
+382.86 76.58 l
+383.48 76.57 l
+384.10 76.56 l
+384.72 76.56 l
+385.34 76.55 l
+385.96 76.55 l
+386.58 76.54 l
+387.20 76.54 l
+387.82 76.54 l
+388.45 76.53 l
+389.07 76.53 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+106.06 73.44 m 392.09 73.44 l S
+106.06 73.44 m 106.06 66.24 l S
+163.26 73.44 m 163.26 66.24 l S
+220.47 73.44 m 220.47 66.24 l S
+277.68 73.44 m 277.68 66.24 l S
+334.88 73.44 m 334.88 66.24 l S
+392.09 73.44 m 392.09 66.24 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 99.22 47.52 Tm (-6) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 156.42 47.52 Tm (-4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 213.63 47.52 Tm (-2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 274.34 47.52 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 331.55 47.52 Tm (2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 388.75 47.52 Tm (4) Tj
+ET
+59.04 76.53 m 59.04 149.95 l S
+59.04 76.53 m 51.84 76.53 l S
+59.04 94.88 m 51.84 94.88 l S
+59.04 113.24 m 51.84 113.24 l S
+59.04 131.59 m 51.84 131.59 l S
+59.04 149.95 m 51.84 149.95 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 68.19 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 104.90 Tm (0.2) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 141.61 Tm (0.4) Tj
+ET
+59.04 73.44 m
+401.76 73.44 l
+401.76 156.96 l
+59.04 156.96 l
+59.04 73.44 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 201.01 181.45 Tm (Y-E[Y|X]) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 203.24 18.72 Tm (Difference) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 12.96 95.20 Tm (Density) Tj
+ET
+Q q 59.04 73.44 342.72 83.52 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+59.04 76.53 m 401.76 76.53 l S
+Q
+endstream
+endobj
+1962 0 obj
+<<
+/CreationDate (D:20070601023217)
+/ModDate (D:20070601023217)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+1963 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+1964 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 1967 0 R
+>>
+endobj
+1965 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 1967 0 R
+>>
+endobj
+1966 0 obj
+11750
+endobj
+1967 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+1960 0 obj <<
+/D [1958 0 R /XYZ 72 720 null]
 >> endobj
-2018 0 obj <<
-/D [2015 0 R /XYZ 72 523.369 null]
+1961 0 obj <<
+/D [1958 0 R /XYZ 72 168.987 null]
 >> endobj
-2014 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+1957 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R >>
+/XObject << /Im7 1956 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2021 0 obj <<
-/Length 1635      
+1971 0 obj <<
+/Length 849       
 /Filter /FlateDecode
 >>
 stream
-x��XI��6��WE20戤ֹ�A�fC��m�6=Ȓ�aF�
-���o�[H�N4�\:����{�������(�I)�0�-��� ��~"� $�_ޗ��˗��b�XM�0Nf>)|2V#=��~`5~�0	��r��*����|%��/��"R��/�g�s�xC��e���ʛ�|�b��G���Ԩ��t�6s魲��Loʎ���Gy{���<
���t%��G[�f����E
&����;k
�
ЪVZ
�
��a�^���*
E0bq3�����Zȫ�<�"P��k���0�L�N�)bQ�k���v*=~��fK���hA����w��J�-
2

-���Y
�A#��^"+�;m��n��/
��7`	N���
-{]�^�ӯ�n�"��aZ�z2��'c�Cvbd^����_��<)`�\#>e[ֹ�
��؃��7
"�|D�F
Qr�#.���p��	�C(sĹ������Ξ��X��Ģ�:������#�7�.
-�
j�������t�d�_��tW�N���� �q�1�|�	'���b)Ž��o�
�/���Z�$x*���
�*}h*3���T�ՑH�:"ud�O�H=aV2L�
y��o쎯j*�����m9&J�&�
��J릵�6gh?�g��,�[���a(t��{�ԅ��>���
-��ݶ
]�(��Qn>4YG�!H�#H*�&O%!�=��l�<�>������=(-��c��%]��N>����kz��/�
-���k}��]s�h)�c���ͻ	P��"ZF��
z����������P{�
��
��c�]�Z5h�h������8E؞���5�w	d햟��x�6����Cw\3:*���*�����ύ��+��e�!;�̨g�i�T�(`b�ӄT�<*�g�ﵷ<�nG̖��3]�S����v������:l�Y�ж�RC^
��e�/�#��c�@��%���Pe>��:��G`(�f2a���䑿��`���K�D�c���|�
�s� ��M�3�F8t3Y^��kg�Q�v���b�H
�@������QA��SP
Ո[
-���|�G�:��:�n3nsirm�K�D8��-׼��9�/��r	
�
-���%1�G�-Ϧ*#l��.�7��7
\�8�̊�oo��,":�P���
ߤ�����ͲC�b�aA[�lԙ*[U�	�lI�{|������kс-���,%ۺY.���� |p�[�R�R��r���
W��2{v[
u6����H��K�9,�`���|@�߽<���i�Q�l�Mxu�E����
�����1�ǩ�6���n��>�V~We�F������T�����E.<�xi�f��
Jރ�.��8�:�O�����
����!� Uy�ZC�
6+�,����`�A�f�g��h'T���
G
-/���`Z[)A�����t?�X�=iş2ػ��v�ʾ�����U~��1�:@��	�Nzr��&t�X?9�Yfw�;Y�ʞ� J5�	%eKMt;n%O�ᠣ>%�	��۪�ⶎ�-{jN�ݖ_��6h�H$�1�oS��醫9�G�^l3c���1Y߲��dר�����썍���ʃU(
-���?��ll A�Fo��`=aL*J�B)	����|�J/��GO������endstream
+x��V�n�0��+x����"Jb�H�H�
Һ������Z�
;��~}�áD)
+��{p���"
OF��2/����&�L
+�UnX!J.2���J>�S�t�0�	� �퀴z��ok�.��I\#`yV@]�-=�Ytv�Hz�~Y�MT7��������w��֓;�N�V�hWPx�2,�'_�`��x��}����
��Se�����Ɣ���U����]�
�Z�Zz�Z��590E."a]Ԟ��t�U̻�A��w���K'��;�����Ёp��"�~v_��7$�<^�7�S�c	m���qK)ې�~�r�I
�K0���v8m.���<��DR�u�:�3��(t(��V`�[
+u�!y
k�j��e7߀~ �
�i�:#���`yĉ�f2綴��1=�m�
|D�X��r�%�3�GFȠ46�(t�@']�P������>
��Fw�G8�h���h��
�~�_�fT\�b
+���+�Z��*��n���N&#	�&�ԚgZ1� ����G�	^�y�y�=�^7�tqx�.����|�Λ�4�M#���)�Yv�u�3+���Z$����W\����[���\�I�܏U������7ٝ�9|�E\z�'�y����Q�RH�����9�]\[M�N�N���Xz�}��,�!��®k
�,�-�k�
됇��Z5� d�[��e3�
B6s�VWK�"WQQ�t��3
�|��  p�U�� �\�����%
�x(u���`��ɔ�Hb�
�F�+ʹL&��
!3b�w^�����Hϻ#אg_��)�����m���R���<�ӊ��=�`���^�BbJ�4t���,��Tҧ݆�����endstream
 endobj
-2020 0 obj <<
+1970 0 obj <<
 /Type /Page
-/Contents 2021 0 R
-/Resources 2019 0 R
+/Contents 1971 0 R
+/Resources 1969 0 R
 /MediaBox [0 0 612 792]
-/Parent 1996 0 R
-/Annots [ 2024 0 R ]
->> endobj
-2024 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 1]
-/Rect [283.398 383.221 478.28 397.169]
-/Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
+/Parent 1943 0 R
 >> endobj
-2022 0 obj <<
-/D [2020 0 R /XYZ 72 720 null]
+1968 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/arima-Example3Plot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 1974 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 1975 0 R /F2 1976 0 R /F3 1977 0 R >>
+/ExtGState <<
+>>>>
+/Length 1978 0 R
+>>
+stream
+q
+Q q 59.04 289.44 342.72 83.52 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+71.73 331.76 m
+78.08 330.89 l
+84.43 334.13 l
+90.77 326.99 l
+97.12 325.69 l
+103.47 328.94 l
+109.81 328.29 l
+116.16 353.85 l
+122.51 369.87 l
+128.85 368.57 l
+135.20 367.27 l
+141.55 364.24 l
+147.89 362.07 l
+154.24 358.50 l
+160.59 354.60 l
+166.93 354.70 l
+173.28 350.90 l
+179.63 347.13 l
+185.97 341.93 l
+192.32 342.84 l
+198.67 339.66 l
+205.01 341.71 l
+211.36 337.06 l
+217.71 333.71 l
+224.05 331.86 l
+230.40 340.24 l
+236.75 346.48 l
+243.09 341.71 l
+249.44 336.08 l
+255.79 333.06 l
+262.13 332.84 l
+268.48 321.79 l
+274.83 326.56 l
+281.17 322.66 l
+287.52 331.54 l
+293.87 327.31 l
+300.21 322.22 l
+306.56 321.36 l
+312.91 323.09 l
+319.25 317.02 l
+325.60 318.54 l
+331.95 317.57 l
+338.29 320.49 l
+344.64 323.96 l
+350.99 319.41 l
+S
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 217.07 234.72 Tm (Time) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 12.96 282.82 Tm (Time Series Value) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+65.39 289.44 m 382.72 289.44 l S
+65.39 289.44 m 65.39 282.24 l S
+128.85 289.44 m 128.85 282.24 l S
+192.32 289.44 m 192.32 282.24 l S
+255.79 289.44 m 255.79 282.24 l S
+319.25 289.44 m 319.25 282.24 l S
+382.72 289.44 m 382.72 282.24 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 62.05 263.52 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 122.18 263.52 Tm (10) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 185.65 263.52 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 249.11 263.52 Tm (30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 312.58 263.52 Tm (40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 376.05 263.52 Tm (50) Tj
+ET
+59.04 294.51 m 59.04 372.47 l S
+59.04 294.51 m 51.84 294.51 l S
+59.04 307.50 m 51.84 307.50 l S
+59.04 320.49 m 51.84 320.49 l S
+59.04 333.49 m 51.84 333.49 l S
+59.04 346.48 m 51.84 346.48 l S
+59.04 359.47 m 51.84 359.47 l S
+59.04 372.47 m 51.84 372.47 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 287.83 Tm (30) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 313.82 Tm (50) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 339.81 Tm (70) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 365.79 Tm (90) Tj
+ET
+59.04 289.44 m
+401.76 289.44 l
+401.76 372.96 l
+59.04 372.96 l
+59.04 289.44 l
+S
+Q q 59.04 289.44 342.72 83.52 re W n
+0.000 0.000 1.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+357.33 323.44 m
+363.68 324.36 l
+370.03 325.26 l
+376.37 325.65 l
+382.72 324.99 l
+389.07 323.96 l
+S
+0.75 w
+[ 3.00 5.00] 0 d
+357.33 325.82 m
+363.68 327.01 l
+370.03 328.42 l
+376.37 329.07 l
+382.72 329.17 l
+389.07 328.84 l
+S
+357.33 317.99 m
+363.68 321.52 l
+370.03 319.89 l
+376.37 322.22 l
+382.72 319.68 l
+389.07 319.50 l
+S
+0.000 0.804 0.000 RG
+357.33 333.50 m
+363.68 339.90 l
+370.03 345.70 l
+376.37 350.15 l
+382.72 353.15 l
+389.07 355.38 l
+S
+357.33 313.39 m
+363.68 308.82 l
+370.03 304.83 l
+376.37 301.14 l
+382.72 296.83 l
+389.07 292.53 l
+S
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+350.99 319.41 m
+357.33 323.44 l
+S
+1.000 0.000 0.000 RG
+350.99 289.44 m 350.99 372.96 l S
+Q q 59.04 73.44 342.72 83.52 re W n
+Q q 59.04 73.44 342.72 83.52 re W n
+0.000 0.000 1.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+71.73 115.79 m
+135.20 115.79 l
+198.67 115.79 l
+262.13 115.79 l
+325.60 115.79 l
+389.07 115.79 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 177.27 181.45 Tm (E[Y|X1] - E[Y|X]) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 147.56 18.72 Tm (Time From First Counterfactual) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 12.96 88.04 Tm (Difference) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+71.73 73.44 m 389.07 73.44 l S
+71.73 73.44 m 71.73 66.24 l S
+135.20 73.44 m 135.20 66.24 l S
+198.67 73.44 m 198.67 66.24 l S
+262.13 73.44 m 262.13 66.24 l S
+325.60 73.44 m 325.60 66.24 l S
+389.07 73.44 m 389.07 66.24 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 68.40 47.52 Tm (1) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 131.86 47.52 Tm (2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 195.33 47.52 Tm (3) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 258.80 47.52 Tm (4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 322.26 47.52 Tm (5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 385.73 47.52 Tm (6) Tj
+ET
+59.04 73.70 m 59.04 143.23 l S
+59.04 73.70 m 51.84 73.70 l S
+59.04 91.09 m 51.84 91.09 l S
+59.04 108.47 m 51.84 108.47 l S
+59.04 125.85 m 51.84 125.85 l S
+59.04 143.23 m 51.84 143.23 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 70.37 Tm (6) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 87.75 Tm (8) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 119.17 Tm (12) Tj
+ET
+59.04 73.44 m
+401.76 73.44 l
+401.76 156.96 l
+59.04 156.96 l
+59.04 73.44 l
+S
+Q q 59.04 73.44 342.72 83.52 re W n
+0.000 0.000 1.000 RG
+0.75 w
+[ 3.00 5.00] 0 d
+1 J
+1 j
+10.00 M
+71.73 153.87 m
+135.20 153.87 l
+198.67 153.87 l
+262.13 153.87 l
+325.60 153.87 l
+389.07 153.87 l
+S
+71.73 76.53 m
+135.20 76.53 l
+198.67 76.53 l
+262.13 76.53 l
+325.60 76.53 l
+389.07 76.53 l
+S
+Q
+endstream
+endobj
+1974 0 obj
+<<
+/CreationDate (D:20070601023240)
+/ModDate (D:20070601023240)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+1975 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+1976 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 1979 0 R
+>>
+endobj
+1977 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 1979 0 R
+>>
+endobj
+1978 0 obj
+4822
+endobj
+1979 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+1972 0 obj <<
+/D [1970 0 R /XYZ 72 720 null]
 >> endobj
-2023 0 obj <<
-/D [2020 0 R /XYZ 72 499.784 null]
+1973 0 obj <<
+/D [1970 0 R /XYZ 72 130.78 null]
 >> endobj
-2019 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F76 747 0 R >>
+1969 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R >>
+/XObject << /Im8 1968 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2027 0 obj <<
-/Length 2447      
+1982 0 obj <<
+/Length 3091      
 /Filter /FlateDecode
 >>
 stream
-x��ZK�����W�t+�1恗堲]QN�x��*�$�%
\�D��ߞ~

$�H��J�
4fzz�{��n���_}'3�(����f��Y�*t��{��\�����篾K���Ȫ$Kg!M[>ô� �e˓G\c�Bmd���K]����
��y[�ֹ��!/���/�FOH/�~J|]��
�k
?~�[
���@if
`a��tJb��V[\��=�96�4��oh�gx�AQ��B�-���<s 6J�/w�S4|j�4lѩ�����IY�m�����V���<nx������^�XO�	�4�b2
�pǴrÿ�I�Ñ�9>���$�����A
�U���_�
8;΅�W8G� I#4
-�����j�wa����a���oy�Kg��r
-P��-4�Xv�)&*�v���=�4N&�i�����̄I��������C�3��s1�Ϋ5�*�l�����ԟ��vB�{
�t(+�x�;3!o�Wn��
-Y����C�op�
�d�t��	ϻ��qɡ>3���A�|���6_��D�g�PֲɆ��9�+;{����S�ur�K�#���u��8��6���憍�hJyeH���
-�[
�&t
1�k��6�
z�_\�/� �m.��
�5�X���_�;�D��]
�E�p_��
��/��� �'��L�P�lR�:U����Z������JCJ�
��4�T�����H��-�q �R�f�(���: =FatK��)�~S=�Fn��Ȅ��4Zi8_���r��^K��Z�l��n;�����'�MI%ꃤ��{D���,�	�
F��c
�
-�ɗ�P\�3�7���N�	���m���B�dE�o�U�MF�/A�Z at D-���Ь��ο}N/ּ�s?���v�a���48>��I���Qڶ\��I��A%y�A@
��l[�.� ��x���[(+t�xs���g?
(���/�c3
���Ï1�xc�ߔ
J�0�S�@�Hx���v:��
��l<
wNR�ŎM�P
_��si��S�̬r����B{���'�y�e\%�\x#<\G�V�
2'菴uٴu�<
-�D4x�� Nb��7Ņ*���T|��%��M[�~������
���s{�a�q�s�E���
��11jX

�:t
��߱�\�d�u�.Զ�E
-vI8O,�X��O[�S�"�`5Hx
����30�`3c���
-�I�|~����l��g��v�/
-�<����@�*
��t'�+�'�d��٦�������%o{ʿ��cO�
��h���6RPW�J bi�X�K`p��>L��+tq��=�#��%�z��pp�h\������=��\���~�&��� |���Q�?���'�юb��-K`��@>'�`l�X����
��
�r/�DK�꾕�F'9]ow��T�ǾI�ew��M���M�eg�
�Z�֋��8����30��V���U.�{J��Ey�3�ZȰ����4L��-��5�	!��ε�9H��#ܵ5n�����t\�"=�]�B���݆��jh��@<LIe.��m>��AM
�ux|8p<�u][_I��m1��b��$���b@�~��<��j%��-H�t�A��
��f�F�)�ա���Ps�P:{�LXy�20�cj����0�l��ҋF	e)Ry,�>�3��3�jKΰ�M
�I�"��/V|�1s9z��G�i>yə�u�&�Y{����]��&�ߡUA�8觢�N��D$ ��#���$: [...]
-`������Ny�%��Y�)��
�k�&?D��埊���9y��x;O
{a���
��Lb��c���
۵�����Z4͓��H]K�rl2��+(Ws�:�*�5_�}��$Č
��u:��ҵ��D*џ#��F}SL�ƕ2���\��u�>�83	+�3f�k?u�K���g.�]o\G�
��y�AP�=���B���3�C��˪9�7�������*��*��Gܓ��a��f>�Uߎ6n
��d�7zhN��V���p�AԄ?�H��[-�(|-^��#�gJ*
$�b	�JUDߋeH9_���UH!T��|�+����%-^��揋:竨s�)u�~S��ӛ~V��M |�U÷
18���gWM
&N|nFn�`zu<@^��3�Mq(K.?�g}�q�3�^C�A
!�.�h�B�Ҕ��@�S|�������2endstream
+x��[Io
���W�C
Qs��5��؈I�$
+g<��duF�t�,;�>�;YŪ��%�9�.�=��#���߼��!�����H�#�5�
��?/�v{L���xɔ���V,�
ܟ���mn���L�Oǚ.��R�ϛ
�i��l�~������^��MͰ]h���0C�U �u�d�,�Rꨡڑ|Che_�oܐ�T��À��N�#�̓�Ovu���OG�hI8�\Z!���0aVޭi�2��.�mw�&�w��G���,�Q�&%g:PX���ы���ַ��ܺ+H�rf�m�U�Gm'���ı`湃[����a�#�o^3�)v)�ka�
5�|oP#�G�5~Ql��88�p�L��%��ƒp9��ی�[#��$�0^��뒣�f�,�
h
��(��K��6
2�)�H��zFeS0J3FI� �c9�ok4q$h���G�)���@���ª��M6f�P�ڼ�צ�H�gR"6�Hk�Hsdb�H� TR�
#�4�W�
���<��h��ͱ:��X���y�rVk;f�b��>TM6̈́�-���3�s@���p'3��jAGԍ`5�n�]�u�3ԍ�
AﰨjX #��@�+��,�J
<ա���h^i"�TR�2M)aË�m����KZ�$'d��g'4�
��.�>%Y�^z�5ƍY����d��ևs�{���p����q��6Fܔ\�i���~������T
�2��q<ҩ
�a�����i�G���啱L��*���5U$H4��REd�Y�i�ˆ
�R��D��;��Slߛ
�4c�YH,߻�Ɯ�:xJv�T��*DS�4��\Y�fǭ�X��� i(�μ����{�|Տ�^.6mw���P���Z�,ر&v�X��ْK��a���>t¤w^�m���Ʉ*zN��m2�Mײ��7q�76
1���u��FR�b���;��+#l��ZU�F\#u�-T�P����-s�UPhR'��S��Yx���m��ܛ]X0S.����2�#�)���.�2����!W�4�h2C��i�	qY�k [...]
�p�&{
\o�BjC���(j�q�n�tqU���iS�/�	)+���
���
����{�(KD����
¢M<7hBa��ԅ���/F�F�;�A�W���ruMJEqy����k3߹��<�:�6	O�q�0�iY論%
��B�*"�Q��׮����7�k�\��ѥ���]�c��a�v���OC���|��N.~��>+V�
+���u'��+<�h�)|H9�ˆobQ��_�zg���/=_wA
+[��4��6������b�g
�a~mPڰ�
r�Mxa�
+�Y/)�����d,w����Ya���̫"rժ
(78�"�
#�:�� LǗ%6<v��s��1_ǐ�u�/�"'��a�2���-~5��!

+����
C���Y�۬LZ؀Û��;�s���jovU��^�@Ƿ��Ea�!��, at w��BqX���=
E�Bi��NJ
X(	wi��a6RuKH�k
A
+ōΉAh�UsV+��ab:�
�9K�06�3�Vp
�|�(�̅(��L�Z�f�L�b�
.��lk�0H�%�~U�r�'y�J�F��	4�
�Թ��j�&ṗ����ʲ�����|X��qn��<�猦4`8rE��ބ݄0�Oh�����q9���c��!F\�}Pq���u��|3�ϟ^&�(=

���>u����zf\N�e�<
�
F�$
+��D��Q�&�J>�����Ri�	-,��Iu�)^�q7
��c쐂��H%�Gx5�44�*#����.!5�4ITF
�S����
4�
+V �Ɔ
1O,�:god���K�N
.�B�zb���Y��bfO%f>s��	�����}��A,���X�C�FRz�Uϼ��Tk/�y�j�}�E2,V�'��ꉆsd(#Þ��V�h� �mX��|ٓ�D":ߛR
�Kf|f�Yp֤���,m��2mU=͈`@�|�Ċ�vr���Q7y
�v
��fK�K V��Z
r�)W�	���?�AD�
C��T��^�#Kn*�D`�e}s3��w�)�
��bf��x/)�d��Y�����k	�›\-��ZtuR-L�9j�4H01�U=��P
X$�Cބesj�T���6|"$ʅD�S
`X��f"k��m��O݄
�i�H(U
&�U�Ǡ��M�A����mٔ� ��ܧr�>� �냨g�4ĠP�^����;�
�4�������$�]q��'4�/��m�-�0���ԡ�ђj
\|��Z�	7ܨp
�@@i�cK��Ў��َ�
�41
�L�6H��y|�cn�c`0u^���̧��u�F|�6wm�i�]��F�*���xT�NO��7A���s�W��{�ʮWcۡt�3R�e���r�i��O�Xy���'�M�ٕ��jP|~5H�ϪA6
B$OP
�Yՠ��b?C�^��SV��"摬~�Ts��4� {�J�+���TOP
��jP�\����%�I��6l�=t9�[�!amr1�+}ưL=?M>�Е����ә��1	���E�H{�6G�b׏@��(4q}�v�i�����[GHA��h{�v�&[�뤬$[I��d�ɖ������@m��)���U�B�WLF��zeoF�Ǚ<�
j�<
+���S�(��~��������ށƴ�&�`���7{�͘��M\�
�?B =���@s[K1��o���m�v�4
��R��'��>�i���mS�����̹Hn��m����m1�O|��Q‰��X����P�!4�]����']��
�]0� 

+������K�s
+o�ٟ��*
��`�Z'�oH
=~���Q� lգ<u�T�)o�i8�`�m��ؘ�i�>��1b2���u�ʎ]���WKf3v�d�\�۳yT�{
�T@"�W�x���qN�ޗ[��s������8�M9�]��q��/�S�l�?�lԑ�2�D��Vf��?�uH�<��'���.\��;^�
+�y����r�8ۧR���|��
Oڽw:��I��2��/
��
�)�y�`2#9 ����;;1
=,Q!z�Cj����fKa���,\V9^�:}�?
W��endstream
 endobj
-2026 0 obj <<
+1981 0 obj <<
 /Type /Page
-/Contents 2027 0 R
-/Resources 2025 0 R
+/Contents 1982 0 R
+/Resources 1980 0 R
 /MediaBox [0 0 612 792]
-/Parent 2031 0 R
+/Parent 1943 0 R
+/Annots [ 1984 0 R 1985 0 R ]
 >> endobj
-2028 0 obj <<
-/D [2026 0 R /XYZ 72 720 null]
+1984 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [91.794 574.047 198.74 587.881]
+/Subtype /Link
+/A << /S /GoTo /D (cite.BroDav91) >>
 >> endobj
-338 0 obj <<
-/D [2026 0 R /XYZ 72 720 null]
+1985 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [205.187 574.047 230.564 587.881]
+/Subtype /Link
+/A << /S /GoTo /D (cite.BroDav91) >>
 >> endobj
-2029 0 obj <<
-/D [2026 0 R /XYZ 72 517.854 null]
+1983 0 obj <<
+/D [1981 0 R /XYZ 72 720 null]
 >> endobj
-2030 0 obj <<
-/D [2026 0 R /XYZ 72 392.635 null]
+1986 0 obj <<
+/D [1981 0 R /XYZ 72 353.537 null]
 >> endobj
-2025 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F48 554 0 R /F51 1171 0 R >>
+1980 0 obj <<
+/Font << /F29 544 0 R /F35 663 0 R /F72 1166 0 R /F32 667 0 R /F69 550 0 R /F75 1442 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2034 0 obj <<
-/Length 1445      
+1989 0 obj <<
+/Length 2611      
 /Filter /FlateDecode
 >>
 stream
-xڭW�n�F��+�(�䰹3���'� 9��K&��ԲpQ��X��|{j�&Q��Ebw�^կ��o޽O҅R^
Nj��"
��y~�����QW�r�
c�=~x�>HF�*�B?]�A�)��
�[�Q�;�KW9m�Z�a��(�b�1����r/
-����i��fZ��V���ض�tk&ĉS5KyL�=��#c}�3�œ���tcu�?�����^��[�55�+�x��(J��_<�iH�x�GWN
��<��|<�^�����]�G�w�c��?{�H�� v��9
-i�
/��=$��d�E'�Ϙ2M�V����ą
-9�d&k���o��
Jh��N4��n,^��5l΄�R���A�I����!رAч�
>�[��$�!�r�
ڢ�
�DX�b��,p�%��
�4�a>�*4�ٲ���ʴf/
�S��meuܕ���P"_y��2�����~*
o5e�Up��HMR����Wq�8�����U�ߛ�4�D+�u4>Yo[�
2���S��m�
$�<PN��J�r�XNG��H�~.KqN�zmv�
�j��\
-L������%}���mK‹ڬy�b�6C�-oQ��

�MHH�c��+
%���r�b
��y�{I$��$
�`(z)b�Ɲ�hpz�.�����`�	`
d���o�F�4[��wL�Pp�@*B��,ȼ,Ȳ_MM6QTD�'mMYԲ�#S
��#�wC����ŏ�*��C`J�g�S�R�[^1q�aC<6�(���'�&��Pwg�\��sۡ+��0�{��I�%���.>cJ%�`w
��s81�B�ض,S�H[�Dw�G�"��>A�]6V�����
�=�l^�_��e����s���C��]�f�^ X]�Q�o[`���
eI�#�_zn��p�D[tp'�~,:�Aq�K��ZZ�y�4S�{%�H��T�U*���^*�o���؟-6��r��#�c�
�y��{�c�-���m׽�˺3
�\Ut�^%v��9���Dִ��2��b���kR �ڇ�L��?
ޡQ�����|-� q�K���/}�F�?��%�؇�>
-�,����D�n���h5MXe?F�b�?���.��0��ؕC�[�mߕ�U7(�L14�K�s\��V9
�y.C�
�<=�
D0C�Lh5۴���[A��(a3�-U^u��`=׃����Id�("�7�C?��x�P��t:L87

it��ラ�p�;�	�ގ
|f�I-��
�9�Еc�	���t���E}Z�f��	��An���Iyq>����7X+e0�D����<|�8�	�>
��2�0Q?7�.�4��6ׂ	`b�9�Di1_g��̛�GFwF���,��2� #����.*'���Sh��ˣ薜� d����\�E�����0j��H���kړ����D�

�Ƥ��n�HH!�Oetm��gv>�̆���\pO�1|& 
��G�^�ɑ�����_�%*�endstream
+xڽَ��}����7�戗�E��;�&�"�ncsM
ܶ��
��k����o���2e�A
dK"Y���~�y�ꭔ�BJ�X{q����EUԢ0����o�r򸇟����L~�l�do�8�v����˫��a0���RB�ʁ�� �˩���
��� �{��Вf�~~����W���ຣs�����µ`c[\���+?�#�i�.

nI��ĥ;v�WH7����#����Î���'_���_�~�S#���e�&�3��'�0�t�k�xT6�eȉ�
+Vj��,���c��H�(z�<p�d�����5n�
�	O��(��)�~s.$9y_����_-��_��+�$�����$������Κ�z�t'���\9>O՜�O�"R�V������<�AM�s@ݔӜY@��D�)���s<
+o�SG��uB�&
+���
��ӥ��*'o�bѺs��Q*�TB3�T�L����!t�iղ F��r��R�;��q�M���QQUZT�� �
�h�Fr�#���*'��B��"V$TE
��IO�HZ	��G�('/�3�w�3�C"J+d��
&�0�?��˙�&�ǁ�q�lw�F��}��b���LS&�t�"a`	��1��ܻ
W F�2x��O?D�9�KQ�ڃ���q(f��w+晞���
�F�۽_��#����X�c8���&�(����ϩ��
A�C��K���S�
PY'�Ƙ��-�7e��T�^�xb/�P3��W��讜���&&ؿz�wE��
��!�z+����E�=�mGty5
���
+��>F� T�p��~���~��]��cД.ӊ0w^V�F�&�R�v�:䪲�9x��#���p�`�Kz{�¬�o;FM������5��]М[�@bt?
3I|�����x at t�W��R)�"H�eR��͐��!�B�J2�:�Ռ,D�F?0����VO~m��
"d
+��X�
Q)âl��I��3O�٥
+{/#�c���
��
�ʺM�8�Ҹm����J��
O�! f�g�
b
�f
�M�{���
+T%�
+
�$+f�U��0��}`F�=�Z�c�I4�
���h�C6I�yt�*�|)I�=�4�y�]�I���=0=N�E��"^��7��,��F��
�7���+�z*�k}�Nt̜�UN�K���n�q���@�=T������c����^�~4yD�p��էJ
;�d5y4?�����3%�ʧ��2!�eaЙ����\��6�&�6�P���2��j�c�0@��tt�����y�Q�-!>@��46�
�E��#*[�s�����e��O��`99���s��,v02�F۔��<� TI$��J���A�Q^�	>�^�{Me�	]��rYKQ��hǪ�l*�KC�ЅI���x2M�X�f<njQ���M��~�Q��
+�r�D�g�J�Lt
�Gχ�e4g��Rj�y�c�ܵ4oK�٤��̓vRQ��
fRG ��狒�;3��f�~#<�x}կd�;����_�E}mʒ��GڔI}��,
_11�5>

����5���r��%6�
+5Do�ն��pspL��}�A��IǓ>y43i��� VP}��R��
+�4b�`
+��A?
��y��0kJ��'

ŀ���u��`��%ł�r~��۴T�е�
���7[�(ߤ0�
䙛�e�6�9U��✪
�+$��d��vN�5�.���9W����X��bq�鹕Q�689?�L���f�?�X��+,$��_�|��E6��Se��ok�$j�C�� 
�j��<�ݞ!�b�����]
WuIM�
I։�z�
�
]�>d<l��
����D�!�IWuyW
��kE+C}R�C�G�]2��HH�28����׼el=����bD��Ȟ��+VJ9,�HkWjQ}~c�;���@)M�B2���rD�^�{F�u�q,DU��zx<�.�6����b�0��U��x�
�Ő#K+q}#�9����J��+]5����
+n��3$z�
�z����u�QOM
F�tBH�퉾,��B
U���{U���lG�Z������/}-�i�i��"ǵ1�&������R�2��Xi>dđ��
{���m��6�t
h7e`ܹ֗;
�-�F4�~bz��tƐM6$oN��A7�ɠ���^�%��M�<q����\v��
N
=���-t<
�I��<8�
e+��W�T'
�8^=_�{�����]����=1�k��&��d�θ5���W
�dH��.��c��w�4 at n�L�2���E�M���T&'_�����c��Q�4�'�<bk"〞�
��'7	U
+k�	�e3Z
Qل���f-�RJ����֟2_����S��]/X��k����c�@e�ﯱ]����M8hru��؟�y�d �n��/5ta����y�i�C��>I��J�&	
�s
{��o����1�&��s��
�3�$�%�z
�8h���XP�E�#r_}
�
 �����w�'1۳D��̣*���#M�-���o�������E҃Vp�2A<��1lu��K)�
����^���pzo��p��ߴ{'�9��YmZ���j�짔���a��<�+J޿U����¹�V�P "���ځB�td/�ܼ�
p�6endstream
 endobj
-2033 0 obj <<
+1988 0 obj <<
 /Type /Page
-/Contents 2034 0 R
-/Resources 2032 0 R
+/Contents 1989 0 R
+/Resources 1987 0 R
 /MediaBox [0 0 612 792]
-/Parent 2031 0 R
->> endobj
-2035 0 obj <<
-/D [2033 0 R /XYZ 72 720 null]
+/Parent 1943 0 R
 >> endobj
-2036 0 obj <<
-/D [2033 0 R /XYZ 72 697.999 null]
+1990 0 obj <<
+/D [1988 0 R /XYZ 72 720 null]
 >> endobj
-2037 0 obj <<
-/D [2033 0 R /XYZ 72 702.981 null]
+1991 0 obj <<
+/D [1988 0 R /XYZ 72 698.015 null]
 >> endobj
-2038 0 obj <<
-/D [2033 0 R /XYZ 72 347.978 null]
+1992 0 obj <<
+/D [1988 0 R /XYZ 72 155.056 null]
 >> endobj
-2032 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+1987 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2041 0 obj <<
-/Length 1635      
+1995 0 obj <<
+/Length 743       
 /Filter /FlateDecode
 >>
 stream
-xڥXK��6��W{�Q�)���&9IQ 
EӃlӻj�0$��졿��
����X9
�|��f�o_�|����"
���~!})T.b?������Ǽ\��;�Rz�Y���5���C�#�����?:x�����~�3M�"
G�.���$�|s��z�����˷�?��_�U*��L�~���Z��#.U<�����h�'?���(p;[�����#�/�Y��L����B����K���Ҿ5q���C�5n�C���0PG&
@�b��I꽫�jI@�o�./3T0�P��gƏ_P:k��Ҍ�o���l�
�|�j:�-.��s��׆��T;��$�!p���`%��I�L�V	9�
���]/mV���#��ʞ���	�
�i�Ì_Ֆ���
X;a��,o���
�G'��h�L��$���Cs7�
û	l��Ჽ�'�أB%�@�]h�o,��E,��#�
-��G@"sN%"
��(�'<��Q���I]�)����g�a�ں�ou�O�(Js:�Tٚ�d
��B�$PWsҭ��<8�4��]�����Bǩui�z*����ȊP�r�ɗ��v-b�s������h}EW�E��9N��8q
Y=R�B�v���#��Bơ��e�FHs�JȒՕ��Ǭ*�/
�˶�t�G9�H���y
-��4��	J�;�e[<�%W7[|���
�Ic!�����
�"�0�,
\�
5
�!]74�@�!�ݍe�C�"��iy
��-
���nw<�ϣ�����\��?�y�ί�y�FkB�&=�U�,2
Q9�m�GB��JZ��;S8�r��sG�j|�ɖU����4��U�K�;���c&
-������}�V2�c?�\'
�G�G'���9|4�;6���+�/2,�7
�pb��
�Br�����
����HDIh��ϷZ�"�c+6G
�H�d�"�dP(��G
}k-�H��i��p��
�RY���@��~"t�,R����:�#�|��|s�
-�M|K~<������؞*��j�8���I3��H����
��vS.`����Z
s�JGG4c��u��>T"(�ԑ�nX��Iq4}ޗ�Y��\��M��"u��K���Tг��:�+�W��k8-���]t�'�s�!�Jz?s�����
�p��t�����(�&&8�W9�]�#P�
x��y�����m5��r|����
�+
r���
6R�X�	�au^e��AE3�1,���9�k �a����U~�SN���SNuz�Ns��qLv��=E9C��P1����MH�)�?�y��@�^	ai�&|
.�1q)L`���q�뢨)���n�cl
'��pX���40Q
Q�8���9
�i�hS�[��I>WHD
-0�<�^������k-�q�K��N�)W�ާzl����JdI�!A2c&4��PS��@��a������'���o��؆O���‰�k�+�1���t�)x�@�l�M^�]Nw
��/ӲH��
���
�ʗ#����E�<=4����P5�pk���f�C(=�)�'ʴ۞��
׋���k��͂�ˏ�3�`
��C&
6[c�'ƶ��ޛ����
-�R�$a ��yR�ߋ7�/�^ҿendstream
+xڵUKo�0
��W�(�jɲ-��
�&h�=n�$��B�6�IQ�S4�iE$�7�9����.�d���t
�:�c+c\�S�l�(�2Q�JTx���ཅ���	t��k����۬��C.^�i�=�:��2�V�9��.ۥ�ב{�?���D=�hhS�Q��"+�%����%�ӃO~�\8���v��w
�;fg�"�|�(�=�
� RF�Q��z�
�
�%:%r�d�
"��蛻�{�!�T��n��KRgii[
+8
�:�= Q��0���>�JHG�ҝ�#�������n��c�߿�4��S�AĊbB������bi�Ic5t
�6k�ɕ��N45	��e
��آ�ͩ���w��n�E��uQN�W�̍� �G%��,7'���'����@�(�
�[D�x�
^s�>�
ٺ�����$�LZ� %U�P�/�:$n?�������QU�dZ��ܵίla��S$b��A�~��a�ծ�� "��%�Q�	*�9�c�/�Q�e\���8D�ڽ�FoX��Ju�^
��x?p�U=�h�M�B��8�a�K�
+9�����a���{h�P4nrp���!$��c�w���3�m�<
�B\Ș��
+-�� wT"���}�(K�Sح�a�d��욶kf��M�tx�|�D��W�����G��`
+
+tK?]�l���k�ײ?��S3��~Npm.S��9$�K�u*uəT�\�6��
�\|�^��I�Gendstream
 endobj
-2040 0 obj <<
+1994 0 obj <<
 /Type /Page
-/Contents 2041 0 R
-/Resources 2039 0 R
+/Contents 1995 0 R
+/Resources 1993 0 R
 /MediaBox [0 0 612 792]
-/Parent 2031 0 R
-/Annots [ 2044 0 R ]
->> endobj
-2044 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [282.699 364.168 290.544 377.119]
-/Subtype /Link
-/A << /S /GoTo /D (Item.223) >>
+/Parent 1998 0 R
 >> endobj
-2042 0 obj <<
-/D [2040 0 R /XYZ 72 720 null]
->> endobj
-2043 0 obj <<
-/D [2040 0 R /XYZ 72 637.144 null]
+1996 0 obj <<
+/D [1994 0 R /XYZ 72 720 null]
 >> endobj
-2045 0 obj <<
-/D [2040 0 R /XYZ 72 182.972 null]
+1997 0 obj <<
+/D [1994 0 R /XYZ 72 615.881 null]
 >> endobj
-2039 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F29 672 0 R /F48 554 0 R /F76 747 0 R /F67 564 0 R >>
+1993 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2048 0 obj <<
-/Length 2762      
+2001 0 obj <<
+/Length 2414      
 /Filter /FlateDecode
 >>
 stream
-x��[Ks7��W�a����p֗Ԯ�6WR�e7΁G�8|(
ʒ�}�� 1))���5��Fw����7�_�5v�qJ�.�G��G�ZB%4���sF�?]~��[����d�Q���]Lڅ
"c�v�
+Z]�L�ms5�p�+lY/o��U��ga�j
GiZ��aռ�V]m�6T�<�����	�i���{�g
�m���m���*:f��j=k��DZY�|�������a�]���X�j
-
�f:[�8 �h„$��0�+�����
?�O���Q�u��t���o��U�t]�6|~��,q�E�4oڭ�0��6���4�2�i¬1x� �<�֥�1��&`qL���Kɑ!�`G�#I�pq(*B'i�NN4e��!�Iߍ��hb
L-�=:�=g:^R'����	ݩ!&x���ȥ�U&���0G�f��
��
�)�%p�sj�M���910����V��5�S�G����)~�`�58b�
qE��{���E�*R�~]N.�(S�����	}�V�q�F#�v���we�a
-M(�(MGϽ��
"����a0Qv�\i�ٜ�~��l[
Q��ԅ1(˲~u�+Y0x�œ�{֮��
��jY#�N= ����� ��Dv�>:i�rI\�Z�F<�C��j^�0�p��L�$�I<I�
���Z�`��G�ͦ���������?]��zC�K��AW8J������Vmx�1� ���
��!jLWM�
M�f�K��2����?�ApV�
1����}�m��y��[�5
.Ň0����r�ֺ=;�L���
s8p+�{��t��	�@l�(Q���@D�\��KX��2�%N�#
�)�]V�(�wzSBR�
�� �9i�d���:�5Us]�k��	�>a�屐Bx�~��1S
l�&K�R�:����:��L
gb��֝ow�o�c��PKBiG
#ʸ,�])������t��W�~j����@^�Oe��<\��T�����2
�g8%-�)Е@:k�3��r���7�F���x(l'���=<��<�)��� �?&2�l�Ʋr���m�J〇�nQo0M�^X=�ځ�Д<
��6`|�ކ�����)0R��
-��~��yM�MJ�s�%���j�h5#�V�Gʭ&������X� ���:
ظ��P��]^ E�#6��ّt�0SWˋ_/~����t��%�yϠH�)�
C	3.�..~���k�
6IF�3�L �e 󐖃+<�*�����*�y���# �b�\�_(�Ƞ���Z��j����j,�g3��Y�0�s�����K�	u[:'�0'L��ߎ-��0 l:��*�%=�i��O�{�׾����<���U}���
����;ߩ
̀I��4]�Ums���� ��n#��6�
�-����#�E�w�]u�̉����~	
�І����wR!ESmb���&h�+��:���dEН�ХQ$�����[f�j�l���v��c=��K��:~��?�#�n�9r��^����ܤ|�I �%�O䧳f�la#@Z!��~8�A���q�\IB ��� �
-� ��?|Ι��4,P�쳔�	@h�ϚV��y,St������WA��!�Z��q��
(j�e���&w�����%=�k����
�S�2���>����ۻY��Px ڣ�����®��~���0�G���
-9�ğ��6}��p��L�â
Wq��pM��}}
��"oGAq�4��>��>� ʼ�#}@�C�:�@�W	V��2M��*�jP��,i���.��ʐ�9�'\���
�@��T!_���?�ؠ��ɴ)�	@�.��
L*N���
m��*�����y"SH���
�f{��7�̎XI[@�
N�$
O�ԓΓyH�3@<L�Uru$5f���85w"8�Ő��q�9?_�(1#/�t@Ƃ���1�����?F� WV�>IW�� gC�Ku���<Bh<7�N=u�|�����utm]pm���m��%Q���O�����>���U
�ͭ)�,��G
:]喧T�plC��v,D
���Rˤvs����+ 
��vGZ/=g���FS

����c�~;B��I�(�£<
�)�?Gx���q �?�b�"u���
a#��:4�[� �H���ĥxf`
�?

ŋ�#���<����'�Gz<R�W���̳�ў/61T<��U�Gu
-^��U���N&��@�ܸ�p��Gy$�v �x�!��$8����
!��]�9@� y|Ҍ���x�/��x�g��<
�x<
-��u9
lO���;~]N�L�Z�������2NL�-!�����>�+x�=��_NJ���Fjc�[W��~�z�x$��q�v3�bW#*հ��j�F`�����M��Z��+r��":�Wm�
�-�ʅGc���
s޽
ElWy�i��+̱����т�<��x�9��RvC|�*MQ�k_
Y��}�*c��K�ʤ�16�e�M,5�o?�pp��/:�_?�����h�f


-8���b�W�pa�h�h�`]v�u��ŨM+G�^l��U��lZ�M�',O7mw?k~�eA�&^Ҫ���m�do�[���z='��V6�c%8� ����[3���^��	!����U4�ʞQFc_�h��Ѳ�/���
gy�F�~��y�H/r�����
�!OtG
�O1�Y��C
��iP�4"��(�K�@�K�iJ&}x��Q1	[�����Jk�endstream
+x���n#��>_a�I�Z
��ds�� � �ds����@~�-��9�o�Ud���f1䐃��d��XU�����o� ���Ia.�n.��p�b\���
�
	?����#�K��ŜU<@_�~��
~GZUP�U�����r��^��?-�Z�����X4˕�f�
�����A������%�=��G��|�zq�i�$
��Z|�\!�ʳ~�"fWR�ZT���R���(��
=�[@���y�`�~��{�#��mY����j���/P2AP+��JZ&m
���IHi�

+�^'3%@��P�I���ul3�I
�Zl��G=�
�]�
+e�S������$����R��
�"��İ'��S[�],
�ƃ��{��@���	�
T䆣��̤��W�%{�� m�j��-s��X	xh:#H�Sꢃ�-pl�6!W6G'G4���

�..� ��L�
+0h��
�k�֛H6(v�h���F��!����
�2$�
P~r
N�����<{�ͱw̜
�7��S��w��
+E��L��t4��e˕����:�0���� �t�]E
y)�B|AS�duڼ����K��$� ��
��
+ ���HVU�LZ�1��Vn|s�"�󦩒i� v$��
zr���ot�M��(��:��S�d6�弐�d
+�֜����#��������TrT�bJ9��U��#L��򜐘��J����,����N�T��M�x�l� 9n��(5�Z|M���U)G#�b��A�7�8��(e��%m'�Ձ����"B\�,$���i��9���������0
�W_�[~µM
4� �l���H8��R^�3R�xe����t��ë
f"�g�(>�i�A#!mp�}��ks�%� �D��:�E�i}�at�FG�b���%������%�f�}�0$��y����
�u�]��
rRvs[�:�������W&�n��
����]�9d�%
bg:[�)
'�g	c�S5�d�ݏ\�QsU��i��+
���nbNx�	$q��x"��iKt�tg�8s�$='�"�[T��2��&n�
,
=��1F�2hkR�nm�
���h�9�w
�W�&1v�c~š�i� �tY�$�l'��s��ĽNe�xy�F� �n1�5���{�
=��s+��U,˚)�X�U�_�Ao��k���_���m�E�+�1��~Z��:=�ÿ
���da�6z�n(�ch��p	D�->>v#?�����7݈�W,|�2LTe���zyz(��Jq�)\el�l��sRo3�}/�.l��|] �
�=�
4�m˰K{9����>KHj�:���H�g�ړ�g�\F�s)���3o��{{|��׼>�G{j��R��St����y����pK�~C�C{�TF't>��7+
r@]'�D��y���$�1�-��.�D׃m��GoQ(�9��y����~ʱ!�d�D3����L���>R��Z�Y2E�vvk$�X����ոb��?+-�(� [...]
+1#q�#0���cR�G~�G
�ÿ��Ť�8��{T�
+���<��<I��b0:�g~ic�o�{��W
 ��� u*4xp��̾�J��(��H�)�����5�fF�s<��t�UŽȜO]i]C1.�P�%=�J�ied��@��bɂ�ȸ�1J���(�x�b�
���&���1.����c��
e�����=��K#θ1�/�X Ƅ�E�%����-�',�f�<�+|L�j}'����Xs��&zƓ�K�
MA�)���/��r�D

8P��*
�Xܞ
4EG?��W�t菤�u:�甝��c����y�n4^��1k���~�x���+
x�v#^AaD�/T&R�y�
�ͫ�0�W�%e9�,#�a6��������juԨ�1B0&'��۠_eɎ�A����!˪(��`|�t���GU?g҉�I����u�
+9�q�	��nBOhsį��~bl���
H�
�jSe���+x�o0��,XOx�W]
�˩.��̥�R4��>��2e�#��GhY�low��9$'�u�v�>�lⴔI��_� �=�X���x�Q&�����9�;Ѥ��d��Sb�L$w�����Ȕ�y�r�*�~����b���Fˇ�$�t'�e	�����e�����P��ղ=��!�}��ʟ�d���?����f{�6�O^���h�
�>�C��Lj
�TP���6UT�Wo~���endstream
 endobj
-2047 0 obj <<
+2000 0 obj <<
 /Type /Page
-/Contents 2048 0 R
-/Resources 2046 0 R
+/Contents 2001 0 R
+/Resources 1999 0 R
 /MediaBox [0 0 612 792]
-/Parent 2031 0 R
+/Parent 1998 0 R
 >> endobj
-2049 0 obj <<
-/D [2047 0 R /XYZ 72 720 null]
+2002 0 obj <<
+/D [2000 0 R /XYZ 72 720 null]
 >> endobj
-2050 0 obj <<
-/D [2047 0 R /XYZ 72 444.718 null]
+334 0 obj <<
+/D [2000 0 R /XYZ 72 720 null]
 >> endobj
-2046 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F35 1440 0 R /F29 672 0 R /F54 1447 0 R /F48 554 0 R /F32 668 0 R /F51 1171 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
+2003 0 obj <<
+/D [2000 0 R /XYZ 72 517.554 null]
 >> endobj
-2053 0 obj <<
-/Length 2796      
-/Filter /FlateDecode
->>
-stream
-x��ZK����`�r�V���
���UVU|��RI$
f�Y�l��
������t���
	j��]�y\��c�w|���W֍8g^�����L��-
+t�ތ�
-^\�{��7���M�'[�Q漾�.'R�qS��'3n�K>��kj�-t$b�
�Y�"�_�8��WL*��]��a\�8�4�}�)�68m�z��CUN/a�7�Z_��61�i�Y=�V3�]�+����Y�W�U���u�Ro�T�0����jE�+l|�=��g��t3�}���?��
˼
{�L��$�%q��q{B
���S_�u�dF�hӹ��S�W�Hڲ��(���庭 ,�[�M�2Z
��p
��5���rͬ�
����Y4k�"N���
Ìq�CF8F�+
�,.��	��.�}�
V=N2�2ց��h�����ͻb4�(F?\L����s�~���`�]l/.�t�ǎ�$Q���}�
?ؗp�)gGƀ����ǭ��c%�aV2��I1P�	�8W�+¤1��#4D d]��e1v����Q���t�����xU.�/F9꤮%Dn��Z�_C��1&�Py)ܘ"[S���
���Mx54c��mC3�8d�e�R|�m�e5���BZT at d��"�4�gX�`��>Pư�qq��fV�opŔ"��A�S�˰����t��6�݆���HF�2^��
ä��}߳9�b��H{Љ��{60���;v"6�Q
�
1����$�tWP2��8�f�c�DJsV��b4�Lx����	�\r��9C��$A2Ė ݣ�’��2#�
�n$���wt���@$�
�t
Z9Z`�r�D E�?�I2�G$�z�i4q "�Q�
ŠC?Ek0�IZ��Zp\�М$q]gd���a��m�(�ַǀ b��\�WP�
�՜�}�l!!��
�}��@PJ
[d�>��}fM(�L�! ٲ��y	�$hΓ�x	(�w9�Ot�<�'gӦb,<��{Ͼ�fR'���Jst ��T)|����Pi
�5v�Y`���Ԋ9p-̃VP"�������]Ah�����z���7
����U����|��>.�U�&�4��Rk 	5N�ZTDe�)P��՜&Q2�|�Q/a��	�
"W�e��Ϩ��60;�|tܰ:�|5��A=d�^Pj�(A��O���#����(�������N�mZv9�N��|	?QP��hV
�9�
;�z�"�-�X�� 
>�v�a��Ww�i�l�l‰�
ȷhH���<#�	��!>O�{Ҕ�O�
-xP�
-eI;`�`x�Ss�\�������C�B�"��b���sY53R>2Kx@%��J8p ��Wm��V�V��A������c�
^&,�۸��̱Ć�%��f^Å� D�7ʶ�-7d��
�2�մ��
�}�ބ��C�6T���Z�ז��T}�V�m�u0����
\�
-�ɴܢh����w{Wo鴆�cl��:
��4�
kTg�_5�F�Ce\A�
( h;�0X�E�e��2�#,CU �A_85 at 33&�<�)a�� ��{�ؿ� Xw����+<�S	�i~���:e��LP[�&Uw��C����P�+��:̀T`1
�#����YZ������L.SǸ̟�f� ��G�2{.Sg �<.σ��1.��m��L�	
����:'Ѫ'�fm�f���(P�@Òd�o�T��F��X��4�1�2��K<O*�ɫo6�x�[�:��TGO�����݃���r�G@&���~�xL?������c��6�L{rV��SƷ/��cN����Q
R``t�r�	@*
�#
-[����Sh���0% 0�Yg�O�{��1��C�E/:�`�-��Y~#
K��'f<3��WA0��`����
8���3��PW������mv��8�A�
�=U�+:H���ޭσ��D%6��w{��"��Ԝ��K�Z��
���y
eF���]޻�-�zƺ��B컻��+�M�s���d4�}]�A`5��
-k��5Tq��\nU ���kBy��nv�
��bF�����'K�\��|T�O
-��S�/>R�?as΄l�5��rZ�0�,h�K���j�
�,b��W_� �-�{R?kw�>��si�ȩ�#v�)oL3�I�^�#q�N����cx�e�"p$�k�}\��T��Z�g��A��[.�|�^I�Ӯ��׀��$����d>��'x`d᧥i!�	�����YE&Q��vG���kt
�c�.���|���C��d at kf��X��x�F����,�5��/�<
�Kz
-�ӹ�U�IBO����ˢ�Ŗ� M,S�s���
�c�J�g~���El�]p@�P���d
AV'
��@DJΌ4�
�x��?�}-]�ZT)�{Rؠ
>��8c�Fw
+s9��t~��aP�j�&��0�LK���p㲋��nz]a�M�ѷ��G~ 
��ÿ����A�Y/y��J ���>��-0��QK'T�
�v׽ć�ڀ
O��H/sO����������
-
P$�Qc��P�	xm�r�}�M�iT�����"�`�C���
_@�/���_
����ҫ;sMV���:~E|hB���z8ԕ��lE�L 4�<�C�
u�
5�>U�<{�z(���2w^b���W��
"mw�#��O4G%��B��p�2e�����&�p`�~�@���;��	�P�'C:��r�i4/=����<Oz
(<�&]<
�*�m��6���
@�Ѳ�o��R:18^�*G�p9J�3������s�&8�Ɍ���T
��4�7�ڦjk����~��Ë�PƸxo$��P?^�
�g�Vendstream
-endobj
-2052 0 obj <<
-/Type /Page
-/Contents 2053 0 R
-/Resources 2051 0 R
-/MediaBox [0 0 612 792]
-/Parent 2031 0 R
+2004 0 obj <<
+/D [2000 0 R /XYZ 72 406.461 null]
 >> endobj
-2054 0 obj <<
-/D [2052 0 R /XYZ 72 720 null]
+2005 0 obj <<
+/D [2000 0 R /XYZ 72 139.951 null]
 >> endobj
-2055 0 obj <<
-/D [2052 0 R /XYZ 72 280.883 null]
+2006 0 obj <<
+/D [2000 0 R /XYZ 72 144.932 null]
 >> endobj
-2051 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F51 1171 0 R /F29 672 0 R /F48 554 0 R /F32 668 0 R /F35 1440 0 R /F52 1472 0 R /F41 1704 0 R /F67 564 0 R >>
+1999 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F69 550 0 R /F72 1166 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2058 0 obj <<
-/Length 2145      
+2010 0 obj <<
+/Length 912       
 /Filter /FlateDecode
 >>
 stream
-x��YY��6~�_a,�`c�H��>�.2�$���>�-��[���c䷧R����ݘ�d_,�x�ί�忟�:{�f
)E�$��-��"�Y��(J��寫�s�.��˔H�|тj��K��,�V��{ަ�ɶ4i&ݶ7�u��e�3��VْX�岳�P�`���\��5<��t�l��Eڸ�T
�
y&�:�����Z"V�K��陡�"ŅP2yD�����,�Y�_&Kۭ������?٤C~�6�ÜyZ�
ek� �Z�Hǎ��y\߅�H�D��-k����S�Ȥv
��&

-�����E��r���(�P�Y[{;�����
Wkx��2����\��xY���r�����N�̴�
#�JTz�_Ҝ�,
1������e�l˃�W�
q�#�
|p�[��'1���x�7~���
�W�'j�N; �ԅT&�,Y���q�>t�d�\y˽[�j�6� ��z���w��������E�D�P��TC�T
���YOwhx��<f�r р���k�M�&�2Ҁ���x�l/
"��bN�<�R�u
�K�'�G
e��D�9
K�|�tc�Cw<wc�ݸܶL,	g�x�ƒ�������-ZG0-�L�v��ug��"*|<�!(j4��kО ?YSVK��=Ň%
�mC���i�E�H����5��p�T�3-r�	H�
@6T�-�Y#�p6x�I`f�%Z{N)x�|� GC���l�{)>$L!�,�3�Y?��C�5,*�T?V{Њ �T�,�
�/���C�'��c���bCQ{t,R�!�Pǁ0<!�.t��{��_��N��
�8�~������%a&����3� o������UFKQw*�bg�r�ָٛ�Y���t�0B?��e��.B�0ב,�b���D@�t��{g8��
M�+e�D��'��ɽJ�	M�{xn�
)�c�q9=����h�\v�
A����QP�m����P1ʃ~W�5�<䝨�"W�e�A0�h���R�A ��_]�BX�7����΁�\��t<_:���@��vc:�� �vT�ݗ���q�2���B)Yj!��Ȅ.�	��[Q�W��c��#P�n�\�
lz �,
�M��j��>�j	>�jRJ"#�M�H����
�V 
Gh��i�%p)/��G�D3�\�2c�}}�|�$��e
FLǏ�o?��<"zĒD?�'���PB�/�N}�qA�O7I���"✅��	�HW@>�f�L�Im�7́l
-����|S��I�%?*�A�\#`�v�����rD��ǀ}���^����|����9�$�~~%��F�Vω�,99;V�.��pf�
-��v=*�v
i���o_<3=(zq:�Y"�I��{�<�����MQb�)��T+c;'z�t�UU��~v�RPX�)E>��o�\$i�;G���U�lն��p�B)!z�O�W=��Ž�g�p<i(Q��񕽦
-8dJ�T��)c%�*�?ؔT��X s�NE!�-��*Q~�t
�3%��P�T
_�
c2vA
��5e8��"�TC�"�h��q�?i��

���N�Y|o������
����[_�+�����d�`�|` y�d����Sy�I����b���I��eh�v2R
���)�l]��
��yh���<pl$s�bŊ���ӹf�h��@��ƏC���]%d�6>'�
-�6Yטp}
�:�=�C�xV��^
-*۞)x�C�h$x�	����o��
�?з�q�ӭ
��w�#/����[�X����);�qc=���r
-���YM'Ͳ�ˎn
U�&�f
������\��g�D�������z����tW|�?��ZZ.��
���M5lL��u[Y�Iv�1%�N/�<�
<{��8v�����x2��������^��f:��&ch��C�7�$Z�����G�Jx�G��)E
ȏ�ƩvO��
-,ƨ	�����Z�}��U)��ةQoq”��Gu3$�� �ώ7��Y��pSp�#�z�fkڑH{)�='ĎZ�G�:�FC��wo�t����}�Z���) �

-�Q7P�\���m� L*ג
<����8�{��8�8������
}svvss#��*p��l+ʍ�?���¶��8n�c��Cy8��U�
�vk��Q�TE�H��X��A��F��/�_���endstream
+xڵV;s�0
��+|��k����j��kz׵ޚ�M?z���W��� (A��x�@[��G�׳����#��"MG��HE*�Y:ʣi%@Z�
���Nj��������,ow��|��u�4`S�_��h�<��\*�
!s?��rG��3�
��u�:�h��hn�
!i
k��k���)E����0q�usf�'f"��X�'>I5{kZۜ
+��I�Q*@Dg� _�9-��r�8Њ�V
!j}�Eկ�Tpn�.ot!��6%_�_&A����e�U�dt )�	�
+�izP�D%��O�P�1�ۈ��8�E�2�����D�yin#�y���&%�0$_S
�i���KJ�[3����^x
q�
'���m��� OΠED
+.\�1.ܽ+

Q�`A�'l>
�֬:O���V�:b-��x���|�b���t�>�-&�A�啫��;jϧj^����	N�
n��i�;t��[��a�x�+�Vh
+�.���Nzf�p�-�(,�x�Щ�΄�����r�6N���[w�m���E!Ja0��#ib��a:��
`x:������P1
+`o��]2^��a[�+l��4��
�F>��8�|QBL%����K|�AagA)_�D2@�9��(z���)d�>�+�v��J(#m�i�c\n�1(hb;w�����W��u�B 嶫t�B<(ۻ�n}�'��AY
'\�����@�����y����ʼn�[
r���o�@����'"T�<�z/!d)*�s噟+��ӫ�����n��vj<$xj�7�Pާ�����W����y��m�3�x(��)
�X��Q�
��k
?3�I׮wA�3��Z۳��V̕�r����kD	���թR�"ڷ�]܊�����,�:��T�~7�+;��*Rx�dh��"!
��JP�����Jp�aendstream
 endobj
-2057 0 obj <<
+2009 0 obj <<
 /Type /Page
-/Contents 2058 0 R
-/Resources 2056 0 R
+/Contents 2010 0 R
+/Resources 2008 0 R
 /MediaBox [0 0 612 792]
-/Parent 2031 0 R
-/Annots [ 2061 0 R ]
->> endobj
-2061 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 1]
-/Rect [283.398 128.676 478.28 142.623]
-/Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
+/Parent 1998 0 R
 >> endobj
-2059 0 obj <<
-/D [2057 0 R /XYZ 72 720 null]
->> endobj
-2060 0 obj <<
-/D [2057 0 R /XYZ 72 239.261 null]
+2011 0 obj <<
+/D [2009 0 R /XYZ 72 720 null]
 >> endobj
-2056 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F78 924 0 R /F79 926 0 R /F76 747 0 R >>
+2008 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2064 0 obj <<
-/Length 485       
+2014 0 obj <<
+/Length 799       
 /Filter /FlateDecode
 >>
 stream
-x�UR˒�0��+|��b�$�/�PY
-6[P���㠵���
,;��H�@r�gz
�n��nuw��DJ�E��'RH��"�DͅF���
�8���[��*�r�~�@\6
�
-3�N�>��W���7�JD\�nHqЎ�l�lqQ�,�p�_3
�
U7i&ٟSo��{A��o��	z3-=6m\�#��<�f�W�U%�*O2���e$������y-��u�]�����M�cp�~qpNU��=L!x�t[��d�N�58�ì�2�_3�钗�7L�l���xl�`��9bv?\����E���Z\�-˅bH
����HQ�r���%�33k��21
��Խ�(GS�����q
�e�7jb+^d�AhW��e9��� @�PZ�Ӹ��dm�=�����q��K^+
m�;
?��OC
>

�)|FÓ��<�OK͸��O=��P�
�祡�ll��W��
��ٵ�o
-[�˟P+F��*�R2Ɋ��i"A��W��j�[�g_�endstream
+xڭVMo�0
��W=�h�Z��a�ah
��Ų]�
���4u%k��~�(����I�b
��H>RT����J���-*2���i�TɜJ��݇CK�~�kr�
��j��ج��0
�^pM��(�pJ*EWD0Iy	�ɷ��,�i&+�\6���s��*Y���Ern�(��3�'|7N�)���.h8ɧ&��k��=�����>C�뜉zac����j��8_��
�[��.���Y��
�kZ��z����M�}xI�
-4P���+��3C��S�Č��෶r�
�G���-�,�)�
�dqM��	�μS0�)Sh{
���+����|��V�6�����6wD�b�WT���tAK]bx���P�e_J�
+��h�#��'O����-$�GR)�3�������>F��E�4^���w��;$ra�Sb>f�E�|�v��)�7F��D��ևЖ�R��6p��6���#U�����p��hoZ�S��f軅;A�e�lV�K`�q���(e�{qW�
+K�`̪���$㒲ҙ�O�|�q��������Z�G�
��΋<4Fq��p`��ۯ�Zq���v�ؿ���bb΃%3G��pl'�8��	~XX�w�u���ð8jc��`�$���T\$�řGc�O�
��ul��:��
+x���ӊ*�_p��J�b��� �]����8�ͮ~��]�>��M���G�ou��WO˖�	R2�:���t�
罼߻
�	wX�����ė\ؿ�rx�<03N�3,��
+��a�
�>�e��w�V
+x��!;)<���� �o at endstream
 endobj
-2063 0 obj <<
+2013 0 obj <<
 /Type /Page
-/Contents 2064 0 R
-/Resources 2062 0 R
+/Contents 2014 0 R
+/Resources 2012 0 R
 /MediaBox [0 0 612 792]
-/Parent 2066 0 R
->> endobj
-2065 0 obj <<
-/D [2063 0 R /XYZ 72 720 null]
+/Parent 1998 0 R
 >> endobj
-2062 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R >>
+2007 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/blogit-BasicExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2017 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2069 0 obj <<
-/Length 2244      
-/Filter /FlateDecode
+/Font << /F1 2018 0 R /F2 2019 0 R /F3 2020 0 R >>
+/ExtGState <<
+>>>>
+/Length 2021 0 R
 >>
 stream
-xڭYIo���ϯf#�r�\
'���
-F�#��$["�&�-�u�o�[����h
_Z���{��K�_���]��Hh��g�>�d,��Q��@�
-���|����Er��%�mE��r�9�)�
p���8.
N}��&�
�s,��+8�m�����
ˌ�o���asCsi��QpY�v�W�m=խV"Q1sTg�fk�0�j�
-�b~tx�`�#~�^����Y��������2Țz��/� z��
xIwU���ײ��v0�����sE�
������N��
�\P�`
M�T:I����Y�?
��t�9�眛0N�IυSd�~�Q���/@��v}y@���j�HDp�VYam�����0vq�`��FQp-+*�u�q6@�ձ��(أ�-��ɔ�e"�#�b���$�G�
�``�&2�q/b�D��qa�}��J׮X�!���6�}�̟H�e�GȂ��58&{p��O��K��ݨ<�ׄQ`�7i&��Ńe&�eƓ�w�1�z��'�:�=5�cK'p=�Z��y�
�O�DUp�˾C;�Y�׷�  $��E��p�YW��8(wUq(ظЁ4�̱���g�P���
	�����r�k`���ʻp��
rŪ��iuCP P�Aq�K���5$���ˆu���sϟ]U���:'I�B��
�c`
-b�L*@
���&��Ð�ƀ_�EKⲗp��u��-�VW�l�N ����K'�qS�_�!c j�/��F
f�S���B���*LJ��[� ��d��,�&?�$�)-�
Ј �A��r�[�)����k�*��f�k0
A�6��h� � J�v<��@+z��:
j���y�`����"S����$�\�!
����N@�|�
-$�"���}J�#
�j���,�x�7�c��
�ba�[k�����f�

&�cϣoa��O<"��K�2۱7C�!�#��\���y��x�
<�7�������~��|���\UI
��yjtX<`�`���_`��~p�Da S \��e�2��
e�SN>�?$�&<b�B�CĐ΃ŏ�>���Ȍ�0��{߳�Α/��w�
ٓk|u/�E��B������aq����p�'��s�e}w�;om��
�2
-��y�J��%|Er�C�\
uZ���:_!	��r�W�� �56�lt<-&
�m��"e�i1�hC������Ys
cy�G�T�wm�S;�7���W}t�s`Z֔Gq�P��^��xx#`Yw��� �����E�T I�A�����
�<H�B���H�2+
-�z�l5\%�W�������«T���CF�hPaϺs�PQ)�YW.|�Iq���O��E��+VXp�g%�]���u,ues}z=�\�͕�H��L�h.�G��J�_��+�rzR��`�
�͊GO�	�4u,�q�7+ bn8����o�
-.�+�k����W�rk���d݀��y�B]����ҧ�!�@��
"-�6}G��`��l�5�
��^f��ƷG�0���
G?2��w#YI��i��D
-i����P
-�U0Ё8a�{�S����0�8�"�E�Y\�,m.��� :�.]�X
��G�-����)�-�� �
� Ͳ��S�W������9, 'X�3�8w��g��]��y�3�{'���\C���9�C"[I�$v�R{O����o9{��xu�b��
�9v{��߼P&D�$�O;Lqm���s�M(����
�}&l��g��y_jB�P5Pf���e��^ʵyI^�Q��)Jsfʋ}z��:b:��ӹ��%��Z��6!ŗF�C�6�f/@(��E�j�wɔ4}�����ݱ�K���0�G $# �6rP�Q�
���Sv�8���&G�!
�7�vzN�={LS�	N^Q�^������Ʒ5�S�]C-F+���x�'�B�N�Hb�:Y����o����֗&x�m�
,��d���̵������w#���(�]ϙۺ�?C��
g����b'd�
-����q��c�3��	a���eWryAk�� � 
w�y{�7���F�.KHi5���W�����8o���,��1[�؎7]�����絲$����Т��$D+b7�̻�)�?o�"�Q8�u"y��F0�a�oc?�x��ۂ?���i��3����G<��P���wm�?���۰���2
�e7\�N�:� V��O
-�f�B�O���Z�
F�@0�j6��㌲�����o~��SRendstream
+q
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 136.14 418.91 Tm (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 211.92 299.40 Tm (Pr\(Y1 = 1\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 351.16 Tm (Pr\(Y2 = 1\)) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 348.39 m 52.95 349.37 l S
+52.95 349.37 m 57.32 352.73 l S
+57.32 352.73 m 59.83 356.08 l S
+59.83 356.08 m 61.46 359.44 l S
+61.46 359.44 m 64.21 362.79 l S
+64.21 362.79 m 67.09 364.73 l S
+67.09 364.73 m 70.26 366.15 l S
+70.26 366.15 m 80.94 369.50 l S
+80.94 369.50 m 81.92 369.71 l S
+110.34 369.50 m 111.59 369.46 l S
+111.59 369.46 m 126.42 367.07 l S
+126.42 367.07 m 130.56 366.15 l S
+130.56 366.15 m 141.26 364.08 l S
+141.26 364.08 m 151.69 362.79 l S
+151.69 362.79 m 156.09 362.04 l S
+156.09 362.04 m 170.92 360.59 l S
+170.92 360.59 m 185.76 359.76 l S
+185.76 359.76 m 186.92 359.44 l S
+186.92 359.44 m 185.76 356.82 l S
+185.76 356.82 m 185.32 356.08 l S
+185.32 356.08 m 185.76 355.91 l S
+185.76 355.91 m 192.52 352.73 l S
+192.52 352.73 m 200.59 349.77 l S
+200.59 349.77 m 202.61 349.37 l S
+202.61 349.37 m 213.41 346.02 l S
+213.41 346.02 m 215.42 345.24 l S
+215.42 345.24 m 226.43 342.66 l S
+226.43 342.66 m 226.70 339.30 l S
+226.70 339.30 m 215.42 338.49 l S
+215.42 338.49 m 200.59 336.73 l S
+200.59 336.73 m 185.76 336.01 l S
+185.76 336.01 m 185.38 335.95 l S
+185.38 335.95 m 170.92 333.56 l S
+170.92 333.56 m 161.59 332.59 l S
+161.59 332.59 m 156.09 332.04 l S
+156.09 332.04 m 141.26 331.08 l S
+141.26 331.08 m 126.42 330.64 l S
+126.42 330.64 m 111.59 330.90 l S
+111.59 330.90 m 96.76 331.91 l S
+96.76 331.91 m 87.04 332.59 l S
+87.04 332.59 m 81.92 332.79 l S
+81.92 332.79 m 67.09 334.45 l S
+67.09 334.45 m 60.96 335.95 l S
+60.96 335.95 m 54.53 339.30 l S
+54.53 339.30 m 52.26 342.34 l S
+97.57 369.59 m 110.34 369.50 l S
+0.23 w
+[] 0 d
+86.71 371.08 m 87.15 371.30 l S
+87.15 371.30 m 87.81 371.95 l S
+87.81 371.95 m 87.78 367.38 l S
+91.72 371.92 m 91.07 371.71 l S
+91.07 371.71 m 90.63 371.06 l S
+90.63 371.06 m 90.40 369.97 l S
+90.40 369.97 m 90.40 369.32 l S
+90.40 369.32 m 90.61 368.23 l S
+90.61 368.23 m 91.04 367.58 l S
+91.04 367.58 m 91.69 367.35 l S
+91.69 367.35 m 92.12 367.35 l S
+92.12 367.35 m 92.78 367.56 l S
+92.78 367.56 m 93.22 368.21 l S
+93.22 368.21 m 93.44 369.30 l S
+93.44 369.30 m 93.45 369.95 l S
+93.45 369.95 m 93.24 371.04 l S
+93.24 371.04 m 92.81 371.69 l S
+92.81 371.69 m 92.15 371.92 l S
+92.15 371.92 m 91.72 371.92 l S
+0.75 w
+[] 0 d
+67.09 338.45 m 64.88 339.30 l S
+64.88 339.30 m 60.24 342.66 l S
+60.24 342.66 m 58.45 346.02 l S
+58.45 346.02 m 61.75 349.37 l S
+61.75 349.37 m 67.09 352.52 l S
+67.09 352.52 m 67.42 352.73 l S
+67.42 352.73 m 70.85 356.08 l S
+70.85 356.08 m 76.26 359.44 l S
+76.26 359.44 m 81.92 361.57 l S
+81.92 361.57 m 96.76 361.77 l S
+96.76 361.77 m 110.91 359.44 l S
+110.91 359.44 m 111.59 359.38 l S
+111.59 359.38 m 126.42 357.87 l S
+126.42 357.87 m 141.26 356.97 l S
+141.26 356.97 m 146.47 356.08 l S
+146.47 356.08 m 156.09 355.03 l S
+156.09 355.03 m 170.92 352.80 l S
+170.92 352.80 m 171.18 352.73 l S
+171.18 352.73 m 176.95 349.37 l S
+176.95 349.37 m 181.59 346.02 l S
+181.59 346.02 m 185.76 344.01 l S
+185.76 344.01 m 190.00 342.66 l S
+190.00 342.66 m 185.76 340.87 l S
+185.76 340.87 m 180.08 339.30 l S
+180.08 339.30 m 170.92 338.01 l S
+170.92 338.01 m 164.85 335.95 l S
+164.85 335.95 m 156.09 334.60 l S
+156.09 334.60 m 141.26 333.60 l S
+111.59 333.26 m 96.76 333.98 l S
+96.76 333.98 m 81.92 334.87 l S
+81.92 334.87 m 75.20 335.95 l S
+75.20 335.95 m 67.09 338.45 l S
+141.26 333.60 m 127.24 333.44 l S
+0.23 w
+[] 0 d
+115.92 334.50 m 115.92 334.72 l S
+115.92 334.72 m 116.13 335.16 l S
+116.13 335.16 m 116.35 335.38 l S
+116.35 335.38 m 116.78 335.60 l S
+116.78 335.60 m 117.65 335.61 l S
+117.65 335.61 m 118.09 335.40 l S
+118.09 335.40 m 118.31 335.18 l S
+118.31 335.18 m 118.53 334.75 l S
+118.53 334.75 m 118.53 334.32 l S
+118.53 334.32 m 118.32 333.88 l S
+118.32 333.88 m 117.89 333.22 l S
+117.89 333.22 m 115.75 331.02 l S
+115.75 331.02 m 118.79 331.06 l S
+121.34 335.65 m 120.69 335.43 l S
+120.69 335.43 m 120.27 334.77 l S
+120.27 334.77 m 120.06 333.68 l S
+120.06 333.68 m 120.07 333.03 l S
+120.07 333.03 m 120.30 331.95 l S
+120.30 331.95 m 120.74 331.30 l S
+120.74 331.30 m 121.40 331.09 l S
+121.40 331.09 m 121.83 331.09 l S
+121.83 331.09 m 122.48 331.32 l S
+122.48 331.32 m 122.91 331.98 l S
+122.91 331.98 m 123.11 333.07 l S
+123.11 333.07 m 123.11 333.72 l S
+123.11 333.72 m 122.88 334.80 l S
+122.88 334.80 m 122.43 335.45 l S
+122.43 335.45 m 121.78 335.66 l S
+121.78 335.66 m 121.34 335.65 l S
+0.75 w
+[] 0 d
+67.09 344.54 m 66.11 346.02 l S
+66.11 346.02 m 67.09 346.84 l S
+67.09 346.84 m 69.90 349.37 l S
+69.90 349.37 m 75.64 352.73 l S
+75.64 352.73 m 81.23 356.08 l S
+81.23 356.08 m 81.92 356.41 l S
+81.92 356.41 m 96.76 357.36 l S
+96.76 357.36 m 111.59 356.34 l S
+111.59 356.34 m 113.54 356.08 l S
+113.54 356.08 m 126.42 354.29 l S
+143.27 352.73 m 156.09 350.73 l S
+156.09 350.73 m 160.73 349.37 l S
+160.73 349.37 m 166.05 346.02 l S
+166.05 346.02 m 166.86 342.66 l S
+166.86 342.66 m 161.99 339.30 l S
+161.99 339.30 m 156.09 337.49 l S
+156.09 337.49 m 146.18 335.95 l S
+146.18 335.95 m 141.26 335.54 l S
+141.26 335.54 m 126.42 334.77 l S
+126.42 334.77 m 111.59 334.81 l S
+111.59 334.81 m 96.76 335.66 l S
+96.76 335.66 m 92.90 335.95 l S
+92.90 335.95 m 81.92 336.93 l S
+81.92 336.93 m 73.11 339.30 l S
+73.11 339.30 m 68.15 342.66 l S
+68.15 342.66 m 67.09 344.54 l S
+142.01 352.84 m 143.27 352.73 l S
+0.23 w
+[] 0 d
+131.18 356.14 m 133.56 355.92 l S
+133.56 355.92 m 132.10 354.31 l S
+132.10 354.31 m 132.75 354.25 l S
+132.75 354.25 m 133.16 353.99 l S
+133.16 353.99 m 133.36 353.75 l S
+133.36 353.75 m 133.52 353.08 l S
+133.52 353.08 m 133.48 352.65 l S
+133.48 352.65 m 133.20 352.02 l S
+133.20 352.02 m 132.73 351.63 l S
+132.73 351.63 m 132.06 351.47 l S
+132.06 351.47 m 131.41 351.53 l S
+131.41 351.53 m 130.78 351.81 l S
+130.78 351.81 m 130.58 352.04 l S
+130.58 352.04 m 130.40 352.50 l S
+136.37 355.66 m 135.70 355.50 l S
+135.70 355.50 m 135.21 354.89 l S
+135.21 354.89 m 134.89 353.83 l S
+134.89 353.83 m 134.83 353.18 l S
+134.83 353.18 m 134.95 352.08 l S
+134.95 352.08 m 135.32 351.39 l S
+135.32 351.39 m 135.95 351.11 l S
+135.95 351.11 m 136.39 351.07 l S
+136.39 351.07 m 137.05 351.23 l S
+137.05 351.23 m 137.55 351.84 l S
+137.55 351.84 m 137.86 352.90 l S
+137.86 352.90 m 137.92 353.55 l S
+137.92 353.55 m 137.81 354.65 l S
+137.81 354.65 m 137.44 355.34 l S
+137.44 355.34 m 136.81 355.62 l S
+136.81 355.62 m 136.37 355.66 l S
+0.75 w
+[] 0 d
+81.92 338.99 m 80.76 339.30 l S
+80.76 339.30 m 74.67 342.66 l S
+74.67 342.66 m 72.93 346.02 l S
+72.93 346.02 m 77.04 349.37 l S
+77.04 349.37 m 81.92 351.87 l S
+81.92 351.87 m 86.54 352.73 l S
+86.54 352.73 m 96.76 354.25 l S
+115.87 352.73 m 126.42 350.61 l S
+126.42 350.61 m 134.06 349.37 l S
+134.06 349.37 m 141.26 347.43 l S
+141.26 347.43 m 146.85 346.02 l S
+146.85 346.02 m 153.33 342.66 l S
+153.33 342.66 m 148.17 339.30 l S
+148.17 339.30 m 141.26 338.10 l S
+141.26 338.10 m 126.42 336.62 l S
+126.42 336.62 m 111.59 336.37 l S
+111.59 336.37 m 96.76 337.16 l S
+96.76 337.16 m 81.92 338.99 l S
+112.36 353.01 m 115.87 352.73 l S
+0.23 w
+[] 0 d
+103.22 356.02 m 100.81 353.16 l S
+100.81 353.16 m 104.06 352.90 l S
+103.22 356.02 m 102.86 351.47 l S
+106.69 355.75 m 106.02 355.58 l S
+106.02 355.58 m 105.54 354.96 l S
+105.54 354.96 m 105.23 353.90 l S
+105.23 353.90 m 105.18 353.25 l S
+105.18 353.25 m 105.31 352.15 l S
+105.31 352.15 m 105.69 351.46 l S
+105.69 351.46 m 106.33 351.19 l S
+106.33 351.19 m 106.76 351.16 l S
+106.76 351.16 m 107.43 351.33 l S
+107.43 351.33 m 107.91 351.94 l S
+107.91 351.94 m 108.21 353.01 l S
+108.21 353.01 m 108.27 353.66 l S
+108.27 353.66 m 108.14 354.76 l S
+108.14 354.76 m 107.75 355.44 l S
+107.75 355.44 m 107.12 355.71 l S
+107.12 355.71 m 106.69 355.75 l S
+0.75 w
+[] 0 d
+81.92 342.27 m 81.19 342.66 l S
+81.19 342.66 m 79.63 346.02 l S
+79.63 346.02 m 81.92 347.76 l S
+81.92 347.76 m 85.28 349.37 l S
+85.28 349.37 m 96.76 351.69 l S
+96.76 351.69 m 111.59 350.57 l S
+111.59 350.57 m 117.32 349.37 l S
+117.32 349.37 m 124.84 346.02 l S
+124.84 346.02 m 126.42 345.16 l S
+126.42 345.16 m 135.64 342.66 l S
+135.64 342.66 m 130.29 339.30 l S
+130.29 339.30 m 126.42 338.86 l S
+126.42 338.86 m 111.59 337.94 l S
+111.59 337.94 m 96.76 338.61 l S
+96.76 338.61 m 91.41 339.30 l S
+91.41 339.30 m 81.92 342.27 l S
+96.76 340.48 m 89.02 342.66 l S
+89.02 342.66 m 87.39 346.02 l S
+87.39 346.02 m 95.94 349.37 l S
+95.94 349.37 m 96.76 349.54 l S
+96.76 349.54 m 98.53 349.37 l S
+98.53 349.37 m 111.59 347.16 l S
+111.59 347.16 m 114.58 346.02 l S
+114.58 346.02 m 120.21 342.66 l S
+120.21 342.66 m 111.59 339.81 l S
+111.59 339.81 m 96.76 340.48 l S
+96.76 343.34 m 95.70 346.02 l S
+95.70 346.02 m 96.76 346.42 l S
+96.76 346.42 m 99.00 346.02 l S
+99.00 346.02 m 96.76 343.34 l S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+41.05 326.02 m 376.71 326.02 l S
+41.05 326.02 m 41.05 323.64 l S
+96.99 326.02 m 96.99 323.64 l S
+152.94 326.02 m 152.94 323.64 l S
+208.88 326.02 m 208.88 323.64 l S
+264.82 326.02 m 264.82 323.64 l S
+320.76 326.02 m 320.76 323.64 l S
+376.71 326.02 m 376.71 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 33.27 312.71 Tm (0.00) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 89.21 312.71 Tm (0.05) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 145.15 312.71 Tm (0.10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 201.09 312.71 Tm (0.15) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 257.04 312.71 Tm (0.20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 312.98 312.71 Tm (0.25) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 368.92 312.71 Tm (0.30) Tj
+ET
+38.02 340.14 m 38.02 412.04 l S
+38.02 340.14 m 35.64 340.14 l S
+38.02 354.52 m 35.64 354.52 l S
+38.02 368.90 m 35.64 368.90 l S
+38.02 383.28 m 35.64 383.28 l S
+38.02 397.66 m 35.64 397.66 l S
+38.02 412.04 m 35.64 412.04 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 334.58 Tm (0.1) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 363.34 Tm (0.3) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 392.10 Tm (0.5) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+Q q 0.00 144.00 432.00 144.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.24 307.58 17.51 re B
+38.02 206.25 57.37 17.51 re B
+38.02 227.25 27.89 17.51 re B
+38.02 248.26 5.58 17.51 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 185.77 Tm (\(0,0\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 227.78 Tm (\(1,0\)) Tj
+ET
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 165.92 274.91 Tm (Predicted Values: \(Y1,Y2\)|X) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 183.81 155.40 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 182.02 m 356.76 182.02 l S
+38.02 182.02 m 38.02 179.64 l S
+117.70 182.02 m 117.70 179.64 l S
+197.39 182.02 m 197.39 179.64 l S
+277.07 182.02 m 277.07 179.64 l S
+356.76 182.02 m 356.76 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 35.79 168.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 113.25 168.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 192.94 168.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 272.62 168.71 Tm (60) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 352.31 168.71 Tm (80) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 105.44 130.91 Tm (First Differences: Pr\(Y1=k,Y2=l|X1\) - Pr\(Y1=k,Y2=l|X\)) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 211.92 11.40 Tm (Pr\(Y1 = 1\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 63.16 Tm (Pr\(Y2 = 1\)) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+408.26 104.58 m 407.09 101.64 l S
+407.09 101.64 m 405.73 98.28 l S
+405.73 98.28 m 402.00 94.93 l S
+402.00 94.93 m 393.42 92.18 l S
+381.97 91.57 m 378.59 91.27 l S
+378.59 91.27 m 375.66 91.57 l S
+375.66 91.57 m 367.58 94.93 l S
+367.58 94.93 m 363.76 96.18 l S
+363.76 96.18 m 350.96 98.28 l S
+350.96 98.28 m 348.92 98.61 l S
+348.92 98.61 m 334.09 100.48 l S
+334.09 100.48 m 329.68 101.64 l S
+329.68 101.64 m 322.13 104.99 l S
+322.13 104.99 m 319.26 105.88 l S
+319.26 105.88 m 307.15 108.35 l S
+307.15 108.35 m 304.42 109.49 l S
+304.42 109.49 m 298.56 111.70 l S
+298.56 111.70 m 295.59 115.06 l S
+295.59 115.06 m 304.42 116.35 l S
+304.42 116.35 m 319.26 116.93 l S
+319.26 116.93 m 334.09 116.88 l S
+334.09 116.88 m 339.44 118.42 l S
+339.44 118.42 m 348.92 120.49 l S
+348.92 120.49 m 363.76 121.49 l S
+363.76 121.49 m 378.59 121.44 l S
+378.59 121.44 m 393.42 120.81 l S
+393.42 120.81 m 405.78 118.42 l S
+405.78 118.42 m 408.26 117.16 l S
+382.14 91.58 m 381.97 91.57 l S
+0.23 w
+[] 0 d
+388.74 94.22 m 386.57 94.10 l S
+386.57 94.10 m 386.46 92.14 l S
+386.46 92.14 m 386.66 92.37 l S
+386.66 92.37 m 387.30 92.62 l S
+387.30 92.62 m 387.96 92.65 l S
+387.96 92.65 m 388.62 92.47 l S
+388.62 92.47 m 389.08 92.06 l S
+389.08 92.06 m 389.33 91.42 l S
+389.33 91.42 m 389.35 90.99 l S
+389.35 90.99 m 389.17 90.32 l S
+389.17 90.32 m 388.76 89.87 l S
+388.76 89.87 m 388.12 89.61 l S
+388.12 89.61 m 387.47 89.58 l S
+387.47 89.58 m 386.80 89.76 l S
+386.80 89.76 m 386.58 89.97 l S
+386.58 89.97 m 386.33 90.39 l S
+0.75 w
+[] 0 d
+408.26 109.65 m 408.00 108.35 l S
+408.00 108.35 m 405.13 104.99 l S
+405.13 104.99 m 402.32 101.64 l S
+402.32 101.64 m 397.63 98.28 l S
+397.63 98.28 m 393.42 96.06 l S
+393.42 96.06 m 378.59 98.04 l S
+378.59 98.04 m 378.04 98.28 l S
+378.04 98.28 m 363.76 100.26 l S
+363.76 100.26 m 356.21 101.64 l S
+356.21 101.64 m 348.92 102.99 l S
+348.92 102.99 m 340.88 104.99 l S
+340.88 104.99 m 334.09 107.14 l S
+334.09 107.14 m 329.71 108.35 l S
+329.71 108.35 m 327.26 111.70 l S
+327.26 111.70 m 334.09 113.85 l S
+334.09 113.85 m 335.62 115.06 l S
+335.62 115.06 m 347.77 118.42 l S
+347.77 118.42 m 348.92 118.67 l S
+348.92 118.67 m 363.76 120.44 l S
+393.42 119.40 m 398.51 118.42 l S
+398.51 118.42 m 407.05 115.06 l S
+407.05 115.06 m 408.26 112.63 l S
+379.40 119.89 m 393.42 119.40 l S
+0.23 w
+[] 0 d
+368.58 121.68 m 369.03 121.89 l S
+369.03 121.89 m 369.70 122.51 l S
+369.70 122.51 m 369.54 117.95 l S
+373.61 122.38 m 372.95 122.18 l S
+372.95 122.18 m 372.49 121.55 l S
+372.49 121.55 m 372.24 120.47 l S
+372.24 120.47 m 372.22 119.82 l S
+372.22 119.82 m 372.40 118.72 l S
+372.40 118.72 m 372.81 118.06 l S
+372.81 118.06 m 373.45 117.82 l S
+373.45 117.82 m 373.89 117.80 l S
+373.89 117.80 m 374.55 117.99 l S
+374.55 117.99 m 375.00 118.63 l S
+375.00 118.63 m 375.26 119.71 l S
+375.26 119.71 m 375.28 120.36 l S
+375.28 120.36 m 375.10 121.46 l S
+375.10 121.46 m 374.69 122.12 l S
+374.69 122.12 m 374.05 122.36 l S
+374.05 122.36 m 373.61 122.38 l S
+0.75 w
+[] 0 d
+348.92 106.11 m 340.96 108.35 l S
+340.96 108.35 m 339.10 111.70 l S
+339.10 111.70 m 342.18 115.06 l S
+342.18 115.06 m 348.92 116.89 l S
+348.92 116.89 m 356.08 118.42 l S
+356.08 118.42 m 363.76 119.39 l S
+388.82 118.42 m 393.42 118.18 l S
+393.42 118.18 m 404.26 115.06 l S
+404.26 115.06 m 406.47 111.70 l S
+406.47 111.70 m 405.61 108.35 l S
+405.61 108.35 m 401.89 104.99 l S
+401.89 104.99 m 397.54 101.64 l S
+397.54 101.64 m 393.42 99.48 l S
+393.42 99.48 m 378.60 101.64 l S
+378.60 101.64 m 378.59 101.64 l S
+378.59 101.64 m 363.76 102.73 l S
+363.76 102.73 m 352.67 104.99 l S
+352.67 104.99 m 348.92 106.11 l S
+379.39 118.78 m 388.82 118.42 l S
+0.23 w
+[] 0 d
+368.59 120.61 m 369.03 120.81 l S
+369.03 120.81 m 369.71 121.44 l S
+369.71 121.44 m 369.53 116.88 l S
+374.92 121.24 m 372.75 121.32 l S
+372.75 121.32 m 372.46 119.38 l S
+372.46 119.38 m 372.68 119.58 l S
+372.68 119.58 m 373.34 119.78 l S
+373.34 119.78 m 373.99 119.75 l S
+373.99 119.75 m 374.64 119.51 l S
+374.64 119.51 m 375.05 119.06 l S
+375.05 119.06 m 375.25 118.40 l S
+375.25 118.40 m 375.23 117.96 l S
+375.23 117.96 m 374.99 117.32 l S
+374.99 117.32 m 374.54 116.90 l S
+374.54 116.90 m 373.88 116.71 l S
+373.88 116.71 m 373.22 116.74 l S
+373.22 116.74 m 372.58 116.98 l S
+372.58 116.98 m 372.37 117.20 l S
+372.37 117.20 m 372.17 117.65 l S
+0.75 w
+[] 0 d
+348.92 110.08 m 347.63 111.70 l S
+347.63 111.70 m 348.73 115.06 l S
+348.73 115.06 m 348.92 115.11 l S
+348.92 115.11 m 363.76 118.33 l S
+363.76 118.33 m 378.59 118.19 l S
+378.59 118.19 m 393.42 117.38 l S
+393.42 117.38 m 401.48 115.06 l S
+401.48 115.06 m 404.34 111.70 l S
+404.34 111.70 m 403.21 108.35 l S
+403.21 108.35 m 398.65 104.99 l S
+398.65 104.99 m 393.42 101.90 l S
+393.42 101.90 m 378.59 103.02 l S
+361.66 104.99 m 351.53 108.35 l S
+351.53 108.35 m 348.92 110.08 l S
+363.04 104.83 m 361.66 104.99 l S
+0.23 w
+[] 0 d
+367.50 105.51 m 367.53 105.73 l S
+367.53 105.73 m 367.79 106.14 l S
+367.79 106.14 m 368.03 106.33 l S
+368.03 106.33 m 368.49 106.49 l S
+368.49 106.49 m 369.35 106.39 l S
+369.35 106.39 m 369.76 106.13 l S
+369.76 106.13 m 369.95 105.88 l S
+369.95 105.88 m 370.12 105.43 l S
+370.12 105.43 m 370.07 105.00 l S
+370.07 105.00 m 369.80 104.59 l S
+369.80 104.59 m 369.29 103.99 l S
+369.29 103.99 m 366.88 102.09 l S
+366.88 102.09 m 369.90 101.73 l S
+373.02 105.96 m 372.35 105.82 l S
+372.35 105.82 m 371.84 105.23 l S
+371.84 105.23 m 371.50 104.17 l S
+371.50 104.17 m 371.43 103.52 l S
+371.43 103.52 m 371.52 102.42 l S
+371.52 102.42 m 371.87 101.72 l S
+371.87 101.72 m 372.50 101.43 l S
+372.50 101.43 m 372.93 101.38 l S
+372.93 101.38 m 373.60 101.52 l S
+373.60 101.52 m 374.11 102.12 l S
+374.11 102.12 m 374.45 103.17 l S
+374.45 103.17 m 374.53 103.82 l S
+374.53 103.82 m 374.44 104.92 l S
+374.44 104.92 m 374.08 105.62 l S
+374.08 105.62 m 373.46 105.91 l S
+373.46 105.91 m 373.02 105.96 l S
+0.75 w
+[] 0 d
+363.76 108.68 m 352.95 111.70 l S
+352.95 111.70 m 353.69 115.06 l S
+353.69 115.06 m 363.76 117.26 l S
+363.76 117.26 m 378.59 117.50 l S
+378.59 117.50 m 393.42 116.58 l S
+393.42 116.58 m 398.70 115.06 l S
+398.70 115.06 m 402.21 111.70 l S
+402.21 111.70 m 400.81 108.35 l S
+400.81 108.35 m 395.41 104.99 l S
+395.41 104.99 m 393.42 103.81 l S
+393.42 103.81 m 378.59 104.39 l S
+378.59 104.39 m 373.22 104.99 l S
+373.22 104.99 m 364.84 108.35 l S
+364.84 108.35 m 363.76 108.68 l S
+363.76 110.01 m 357.70 111.70 l S
+357.70 111.70 m 358.60 115.06 l S
+358.60 115.06 m 363.76 116.19 l S
+363.76 116.19 m 378.59 116.81 l S
+378.59 116.81 m 393.42 115.78 l S
+393.42 115.78 m 395.92 115.06 l S
+395.92 115.06 m 400.07 111.70 l S
+400.07 111.70 m 398.42 108.35 l S
+398.42 108.35 m 393.42 105.52 l S
+393.42 105.52 m 378.59 105.70 l S
+378.59 105.70 m 369.24 108.35 l S
+369.24 108.35 m 363.76 110.01 l S
+363.76 111.34 m 362.44 111.70 l S
+362.44 111.70 m 363.51 115.06 l S
+363.51 115.06 m 363.76 115.11 l S
+363.76 115.11 m 378.59 116.12 l S
+378.59 116.12 m 392.49 115.06 l S
+392.49 115.06 m 393.42 114.90 l S
+393.42 114.90 m 397.94 111.70 l S
+397.94 111.70 m 396.02 108.35 l S
+396.02 108.35 m 393.42 106.88 l S
+393.42 106.88 m 378.59 106.95 l S
+378.59 106.95 m 373.64 108.35 l S
+373.64 108.35 m 363.76 111.34 l S
+378.59 108.19 m 378.05 108.35 l S
+378.05 108.35 m 367.96 111.70 l S
+367.96 111.70 m 373.25 115.06 l S
+373.25 115.06 m 378.59 115.43 l S
+378.59 115.43 m 383.43 115.06 l S
+383.43 115.06 m 393.42 113.39 l S
+393.42 113.39 m 395.80 111.70 l S
+395.80 111.70 m 393.62 108.35 l S
+393.62 108.35 m 393.42 108.23 l S
+393.42 108.23 m 378.59 108.19 l S
+378.59 110.07 m 373.77 111.70 l S
+373.77 111.70 m 378.59 113.85 l S
+378.59 113.85 m 393.42 111.88 l S
+393.42 111.88 m 393.67 111.70 l S
+393.67 111.70 m 393.42 111.33 l S
+393.42 111.33 m 378.59 110.07 l S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+120.83 38.02 m 413.20 38.02 l S
+120.83 38.02 m 120.83 35.64 l S
+218.29 38.02 m 218.29 35.64 l S
+315.74 38.02 m 315.74 35.64 l S
+413.20 38.02 m 413.20 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 115.27 24.71 Tm (0.4) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 212.73 24.71 Tm (0.6) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 310.18 24.71 Tm (0.8) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 407.64 24.71 Tm (1.0) Tj
+ET
+38.02 47.55 m 38.02 124.09 l S
+38.02 47.55 m 35.64 47.55 l S
+38.02 66.68 m 35.64 66.68 l S
+38.02 85.82 m 35.64 85.82 l S
+38.02 104.95 m 35.64 104.95 l S
+38.02 124.09 m 35.64 124.09 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 41.99 Tm (0.2) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 61.12 Tm (0.4) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 80.26 Tm (0.6) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 99.39 Tm (0.8) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 118.53 Tm (1.0) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-2068 0 obj <<
-/Type /Page
-/Contents 2069 0 R
-/Resources 2067 0 R
-/MediaBox [0 0 612 792]
-/Parent 2066 0 R
-/Annots [ 2071 0 R 2072 0 R ]
->> endobj
-2071 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [151.669 583.628 174.472 597.576]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.5) >>
->> endobj
-2072 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [116.527 569.182 139.33 583.13]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.6) >>
->> endobj
-2070 0 obj <<
-/D [2068 0 R /XYZ 72 720 null]
->> endobj
-342 0 obj <<
-/D [2068 0 R /XYZ 72 720 null]
->> endobj
-2073 0 obj <<
-/D [2068 0 R /XYZ 72 531.947 null]
->> endobj
-2074 0 obj <<
-/D [2068 0 R /XYZ 72 435.268 null]
->> endobj
-2075 0 obj <<
-/D [2068 0 R /XYZ 72 289.772 null]
->> endobj
-2067 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F86 1221 0 R /F32 668 0 R /F78 924 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2078 0 obj <<
-/Length 2384      
-/Filter /FlateDecode
+2017 0 obj
+<<
+/CreationDate (D:20070601023248)
+/ModDate (D:20070601023248)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
 >>
-stream
-x��YK�۸��W�U�B ��U{؝��8U�!5�=�9p$Hb���v<����"5�x2v\[�\$ l6����՟N��R"�vu�_e���*���v���i%����+�	!�RiW�hz�V��1�N&dڈDf���zc�j �ı��m�G���JW �f��<m�:���Z���z�@�"���5��`�"�ܓ�6�ڹ}q��-��o��J�������U"�I<�����Q������\�g:��Z:}�χ�p,l�Ve��Xx�d��0���H:0k���t
T��7G�
�X�OE��Đ?;UQ��Iv��yQ�-�dTl��4�<�}[U-���l��
l�+��m�|�Qw�ɹv
�`��O��������E�y��� ����]6�ir&%OMBa�|ś����W�ߩ\��_�e����AgL���a�O�<�S{*�y'�^b�D��,f'�E�b��D*� �t��Q
]����o���;V(P��H�0��
Ν��&��*����/��*l1�t�s�ֿUԄ�C�j��9�]�X�d�
 ��X,��
%���L�J�v��� ���D%���� �c���G���͌HQ�#
x$���z�Hi
�����쟕=/���?�3_ˤU�/��S�w���D=���@m2@�|:���RR�L����^�͎1�l�1�,�Wh�8�xk��M��(>G���<R�/Vo&��|^�Zd��b��fv��;ie�Q�/�B
��p<�AqW���E�ݿ�EU=x�n�o��.�S�ŀ��d�]{&
�g�@�;��h�Mٿ�ڑ�
O��`�d�ރ�ё��/EG� 	V1,�_���@����*~P/�
=���
�>,����
-N������\p��PO$Ƕ۹��@�J,!کH�A�
-��s�P���{���\dc|(
!���633�
�|�p+2���b�YY
0 K �B�g��{W�n�����e��do��ap�Gz�����

�(�&m��M 4��K��G�I��g�)�Yd����&�Jdsq(���I���
�
��
��_�.���	���O�\�
H���]c��!�?Rw/�ń��#��`�t�5�O�g`�(E��”�|����S�B����p6{KEo|�����������W?��~�<�/�"�D�dʵ|��%���\�X�
	���~M�����
��呞�z�#�o��Է�H��
�aM=鑒�z�d�#-v-��;�
�T@ �ny�S-�yF�vKܞ̕�p�"
k�#6�*)&�oo`@?���f����R�Oo0�[�i�{v�W�Du�S�ؗ�'l���F�tj#:�BA�	�P)��
�q�Xb�
ˁ���g��+鹸�<� ����e(�l
w]`>f�<q��[Jm߯��ߢ�7��,&�����
��%]�k%��0�b�&OC��lWB�JM�3Ja�U��
�d��sn��46�/J�Yp�I�%�
P��P��`�!�ߟ�-
�����	
.��x�4m8N
�
-���T�:��D�
}�8^��|����3Ytf
k�ssU��'�B=���џs��c��
-B���^�8����`��D��6��-c�5<�����(�{�y�u�;I�0��K� ̌�q�����ŒS��ȠXP
Yz�{6 \RʒB�
|�������P��BX�^�{��:-�i�Ŧc�X�d�DC��-���j
.m6 �[U9����<���!�� L��׸{T�Q㔢�d#�w}�c�FF�����ʄy���<>u��|�:���`���<��IX��?{DW��.@�Ete]
�>��_3å(Qb��Up0&y��͢���;���_쥃�"=��� �TA���Vq�T��R6��	��HrߏF0�I6s 0��<�t�x�y��\|
�`����|��<������n��@��*Qˏx1 ���
�� ��ء�;O�`~�-�@��l����j(4����b��n.-G���Yh���C6�r�u����|9n$��ظ�gKr<Q��t�n
p��Bv
(H�('$�?:���
�kW4<�8,�U��Ke��
��aԃ�SF�k�f�U1�-3����� [...]
-HN�`i���1�' gfG�pmG�*��%!�
�+��
B1��O��
��P�yȇ���I���<*�@*�T�nbH�
g�� U��_�t��w�
�endstream
 endobj
-2077 0 obj <<
-/Type /Page
-/Contents 2078 0 R
-/Resources 2076 0 R
-/MediaBox [0 0 612 792]
-/Parent 2066 0 R
->> endobj
-2079 0 obj <<
-/D [2077 0 R /XYZ 72 720 null]
->> endobj
-2080 0 obj <<
-/D [2077 0 R /XYZ 72 356.986 null]
->> endobj
-2076 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F48 554 0 R /F67 564 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2083 0 obj <<
-/Length 1195      
-/Filter /FlateDecode
+2018 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
 >>
-stream
-xڕWKs�6��Whr��&� !e��43�L:�
R���@���V$=|ز���
�d����7�ۅ�__���
��:I�ۅ�F���D���P�(��E[�����+�޸��1��Ru�
U���ed�;,E�#�$�$�HY����'��[&I�
��Y�BQ��������8G���t!��7�jZʚ�g�i%�Ҏ7�s��(i;�jC�h�^S�ZM��d�h�ڣ3��ŋPi�uj�

�}(i�}���?��82
=`X�Q"�̔��s��.�1��m��*[F��D���T�g�o��-�E��=y��#)3ј�����8�u��_,"GXَ���RR�d5*��[�x�z�Y��QHA�
����P�ka��%wn��h�E����
w2w�^��+����m(�q�mH	C庵d��%c�
C��2�]3�,F�P^ڰ���M'�tj���X	e����U���|�jK \)�%�4V��=*.u�=(�
-�)�ɪ��u���'��#g��}Y�N���j:8"�zkƶ	���ܕ$Q%�¯|�9��
���P���Ҙ鸢4"�'�Hn�R]5����߆l�;�t"V2rwm
��Pó
-����J$��/�0�FP�cwW��[
�~&"�6	
-DP�
rsÝ��J��^�Y��7Vq���?G�*X�-4��y3&^��$�7�\��q�6Q����2�d��67ԏ�l7-�4�=G9�R`�d��`�}L�*�*gN�!��
8����_�&uF��0ݍu�RU��l
�]�[D����?��j�̆e��㰴���Y�j!UV�a�5NlW�Ἠ�dh�L�ٱ]���oJ��ٜP3=�u/}�&�nsna�ըA=�A��al�G���06ɳ�xU<on���"�qx }|��ҵãkp����������:��O
�&���\W�������,�]�64*4v�J��5E}r
^`��f
��<ֺ�h˱^��ˮo˛���kw.ge5�
m�A�q������W�p #��H���cҥǜ�
��l�sU�W��=
h���;����&�-a;��NW<�����9ٴ�4�0%���$�n
{��P�����+��кlh��ed{�����_g�D�f�m�V�K7�O�����T��l�{u��r�u�<:�3O�uB�݂��Fi�c�
�/��/��X�endstream
 endobj
-2082 0 obj <<
-/Type /Page
-/Contents 2083 0 R
-/Resources 2081 0 R
-/MediaBox [0 0 612 792]
-/Parent 2066 0 R
->> endobj
-2084 0 obj <<
-/D [2082 0 R /XYZ 72 720 null]
->> endobj
-2085 0 obj <<
-/D [2082 0 R /XYZ 72 623.487 null]
->> endobj
-2086 0 obj <<
-/D [2082 0 R /XYZ 72 628.468 null]
->> endobj
-2081 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2089 0 obj <<
-/Length 2975      
-/Filter /FlateDecode
+2019 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2022 0 R
 >>
-stream
-x��ZKs���W�HU"
ޏ��C&���VekS�J�=�2e3C�%�g�}��%Qe˓��&	��h���n|�t��63ƈSj�i=3|f�%T��������B��>��}���G�;s�l�9a�{����f�i5_H��c
�e��sn����%Y�m�=�;��3
t��-�|`Q&c&��a�UY�
-;�������%w9�a(�o��U�U�����H��5
�����r�d��Z&�'e$���97�#�9[0��
-���s�����}z�V���6��.��uv��ֻ��o�`2��8_pc6@�Y����V�I~�:�3�������R��t��G���`(=A]��=Us<�e�
��RBm�Eܮ��gpX�-���4�P��fw�8$1�B<�z6���@�Lf��
�f9bB���%�
Ϩ�`�;�����
�b�Um9ZV�Kԝ��V���\�9���#i���q(�>�����3D���&�C��u�nw�f��
#���b`���t��D N�3zaSr:�Ņ���
ea��hyJ7
S��® �sn����o�͸�Dh9�\C�a����?7��Fg�7t��

:;{��̡m�S����7oh-jb��{{<q�������.���
%Ji�z����q����4�c&�l~v��,���0AG��~(��� 	(b�8!�9V�m*l�C������sЬ+
OK-0��J뼏m�����#
ђy��g-�N�
��r
�����'�4Б�p��
�(�V�#2���cvl*��+�ɯe�
j#
-D!�D�3�B�"o�Jb/U���Q�Q�*ԑߘ��ȥ��S!'����=)@	y�'�ZJf����J� �3e!a#��\ng�e��$e� z~�+X��k(ؘ��9Օ��G\;" J/1N��C�
-b4,���V�)�NR'���7�٧�
��t(�b���<\��I D�e��b���{;&�h>g^/	~U&^P�5
&��I'��6�~�9�}����
�i�{�*
>����/p�.�Uиu�\�2
/�d���%]�)�*T6���YYl}�F}�$�:
~D/�Z�q��
�6��]x��_�;���
-�D����l�
>��]���5�؝�8��]���qEτ�����zE_��?\bQh f��j[��/4{ ���9?�2���'d[�
�<��
�:��C�&b%��c�C�ߒ��d�-�Z\�*����
,յ#̉!j�
-�{j��+��/`R�i���va0
F�>�8,\��)�=z���@��U�\M
�����
-���*�s�
-�3h��ך"�k6���b��J{��\��p�n��K���F{��޽A��
��Ր�2�ڨ�Ջ��P�d9�@��'�Z]���+��	���-��C��	�oSڂ�Z�ȉB
�ߴ���\r4�#>QL^\�|���oZi#��p� '���-���x�+pY�c~��M�M>� ��5T]��duD�_��~�F|���K�
h�eźqH�
:�jC]!҂�3]!@�ζ]!Ot�fy�.o[�j���,��k
C7vثb�a5c{�A^G�sA�
Q�ק����C�r���$���-8y�h����2�O_�K�y�����
��}�
-T�up�>R4>U�s��6�4��ߤ��`�
jK-@%�RAVDAj<n�N�Q�b
?iF
kD�=��u�O�ن�I\�ۃ 6�n)�GĀc�tg��`o &��.F�.,��bP�
��-Ȋr�}�@Ou����r�
)"
ho;���(.��@����H�f�l��!����}��Hb)&30C�3��	3�Ϫw7l�Ro6A��X��v.�s	�=_�� O�zQ��S��S�����+�w�
��՜��$c���a�G�ٮ"�51u�c �[�9�����1|�IJ�F�1�
-�.+�0��w
��$��5��/h�U$��X���	 �,Q�0�l���
��J��
�n6w��~U��7/<
�}
�� ��
-
-BH�
'� �8����CG��=�!����Ϟ`\ѫ�5r�*P����+>��'��"ޫ҇xg �{x�d
%�PΪ҆@xX��o��r�w�5&C\�����Շ�3. 2î�.�nw�fy!�Ԅ7zs�,u/@�
կ� �r�pt;g�~ ��%��o�T'�a3�)�Nj�>�_���}�i��$��Ѻ2��!�
mi�(���#f��.M�[�{K��73��aK#[t�
�ԛ%5�}��z��#m�#=�lm�:"F}N�xČ��Q�
�e'�����2�
-μSǑwD����{�NID��Z:�R�)�	���{�)v�N��f ЃR9�i�a!3�793_fU���b۔�p�
�%a~���t���a@�bJ6T_��.�C��7�,P�S�b�{�
 ]ez� �R'��I��0٣SrTv/h�u'_�G��
�@ʃ�pT�"��c�R��&3<�Y��E?�!��=rK�����}cx�%V۠�>�/c���ҫ+c&���BK��C��
�q`�����<��� >#Bu/�֗L��&B���hz��KD��16mc5v6V^�p�* �l�K�Έ
C ��^� ç*++_
�	6�2��� R�M��
5!�����;�F�Cλ�w��>�,d�ƃc��Y�OW�Z�Ǫ2�y����zK�8��x��2�kc�x�e���a����
�"�X
�ڻ��k�ݏv�<��V�a�S[t�
]��K
-�.����5(
�%h�ӑ kQFr����-����}�ԫE�	��*s�@g����aT������	�Ӆo�0�Qg$v,������V�lsS��\<�]*��7
�t�@ZAC|8�u��?�S��@�z�;@��q���ٞ:�� ��:�b(�bZ��]	5�)���Į����
If��Zj���s��u}�.}�=�&�~�O:���O���M]��.�]�%���pI�
���T7�w7�U	h�֊�_/�p�endstream
 endobj
-2088 0 obj <<
-/Type /Page
-/Contents 2089 0 R
-/Resources 2087 0 R
-/MediaBox [0 0 612 792]
-/Parent 2066 0 R
->> endobj
-2090 0 obj <<
-/D [2088 0 R /XYZ 72 720 null]
->> endobj
-2091 0 obj <<
-/D [2088 0 R /XYZ 72 700.324 null]
->> endobj
-2087 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F32 668 0 R /F29 672 0 R /F48 554 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F35 1440 0 R /F54 1447 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2094 0 obj <<
-/Length 2956      
-/Filter /FlateDecode
+2020 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2022 0 R
 >>
-stream
-x��Z[o#�~���>��;���M4A� i�����[S�⌤�z��

r4#qdy㧾�C�<��\�������0Ι�zr}7�%g��-
+L�.
u[O�����Z���fR�E�
�I漈
��t&�.��NB2nT\�@
��-�t>�_�"�Ls9��5�}"wU�h��D��b���q��K.i4o�{�YWK�����^O�-v�
�2��P(�O`��{�4Huƙ�2,�v1C^8�?�z_�2s�bZ'��2bs at Kzo2���W9N at y��
�ĭ:�h
���q-3Ĩ��nGPb�!τOz�׉�`

�y��-�'3�a;�`Ŕ2a���G�w�T,A���T�"0���J�;z����[�F��ۇ�L�����Y��2��tƋ�x9��c8���%
Z�J[����1���:�����7��-���v�c;�F��9g�	xG.��ǼP���2�z���,B��
)�Pm��a�4�p,ժ^�E�yn�f�\���(z�����@`����� [...]
-� R��HJ���,"�����5f"hkR�:�P�

2O����/�aQ!@;.Y�H	�3̂��m6-�q�lwms��5���a�%:�5�I��
��G�Lz&a��z���G<����h���-��bܑ<�I6.$�]/bص�%�Gi�]<=LuY��Cp�6'�v�6��3�ނ��t����widЕ9�k�k��/�V�O�
-��
���F=J�h̎���&K��/�A��q�Od�	Y�@�����b�mHe�)�E<7��2��A�XpÜ��$!�Q٣�ő�V'
��
�|���/�W<8T>���鉁<�÷��_�~���̯��wW 0�Gx.� w���u��py���߻�fi�Yo��O�Yi
Pn'�{@7?h�?
��YҚwA[�)8�`G`�9a�k�y�A�H��L{0?�s���
PZ��<T~�]h�G.�^�
C���PB�q+�@�1�.1;b
�o�����njA[�8d&�c
����?Y�����3��Y���s�L��1S��c
-G�B
-)�� �b���̦�|�S=�����Q��tJ�C9��d��h���j���P'-���vQ�s8�
f�a*�TG_c�׬�5g5<u�X�Xaѷ:�@B�g���j/b�Gާ�'�F��f�Ӫg��Z�ڊ:�V�a��R4�j�]�sA�	�YT����69�e|����"��` !
�h�ߥĤ����/�N�>f�"-��Tl�ʑ�WI �!�&�Ќ�ד��

����yV�挠�dN��~�+d��2�C8d��ji��F�y�k���@�gTީl6_��l�i���
�v�����eW��
���̰
z�<Ɣ�Xz�W�ވ��'��,��&�â�������~�7I
�&��z
���8�E���"Wr��+�B�{\��Gy[]�s�UQ-a
-{j���
�౽C��y��w�K
��c]u��e��P�/�{�nV+XJ
/X
�uM�
��ỻ���k֠�u7k�_8�Cuρ,�*���M�Ȧ33�L�(
�\����Z=,�7��;��n���d�_��
��HH���?Og���b6(!
�	3|��:�o��g
ڡ�P���;�D
�����+h���
���@�������C�"�`���PR�:4��V�/Z
R>
-�H
� g^|ϙ-T��V�v
pX�39X"�'(�>�K��6As6h��f]Ӏ������n���2�	HA����tFm�`O.y��N�:}
-��[�.�n�,�]&IrDqoQן�`Ʉ��3
���D�Q�EO�@�a��K��m�#ؓஸk7+|��(6o�ރ�Z��eZpk�S9|��3>������:
� >6dՐdow4{8�yLh4bӈ
�P���
��� 5N�n��C����:��
J��k=�vxA\��2�|B(��9�.�xH���v)-����A��Њ�����dK���͞n r�ս���>��h��a*�,�obd$҅��A5?�z(�����Z�rhz1"K-Xy�d�U
-�j�~�H�:�Q�Y�Tz

��zm����B���-�2�%`����
U
�-�m	;�PPN���\�%�א���4^�$�>����{Tӈn U�&}��m8d܀����.s ¸�{}Ƴ�!�?�8��i
z�H
-� n�;���ݽ�f
�-�����o�~غ�i�o�Rw����w���Ý �����΁�/f�)��I�27�r�I�oD=��_�{
-����c7�����ժ
��Yw���\%�Y�eܙ�Q�C�~|�8��S��!nC���}�ʌE|j��K�lS	[w��
���,�A��2����z�R����"=+����,�����,!CO6��Y�d�:=sz�_ʄY0ya^/t���(ehZӍ
�PO�3NT��TO[��0=�ɏ��:QU��~0��
��q<�Hb����@
��i�������5a�B#���^
-�;�H���"�&���~Q�d����^��9�_\�^H(\��"0��Qx�T�,��:	�6dh�t�A���=��9�y
������p�E'�u�ċN�t}
3Z=w A��I#-�ac�;l����zg�T�wX��@���t3�S�+mp����JU\��v���nwY�kf�:�k6�H~�ݤ�K���$с
s��.򗷩.4( ͠S�ogr��N0�m�
�_��m�E
�A��ށ��E7̍�6��	T��u�q��
�� ;��)]�1����/z�M$;
9�3ne�_n�w
���3���w at BB��N���Pڞ�ȶ$�NF�%�D�zH3�1dRp����H�kG(��7O�gB��58f��z��
��`�H
����
q�/@�>�P��./	endstream
 endobj
-2093 0 obj <<
-/Type /Page
-/Contents 2094 0 R
-/Resources 2092 0 R
-/MediaBox [0 0 612 792]
-/Parent 2066 0 R
->> endobj
-2095 0 obj <<
-/D [2093 0 R /XYZ 72 720 null]
->> endobj
-2096 0 obj <<
-/D [2093 0 R /XYZ 72 439.173 null]
->> endobj
-2092 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F32 668 0 R /F51 1171 0 R /F35 1440 0 R /F54 1447 0 R /F48 554 0 R /F78 924 0 R /F76 747 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2099 0 obj <<
-/Length 2206      
-/Filter /FlateDecode
+2021 0 obj
+20395
+endobj
+2022 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
-stream
-x��X[sܶ~�����;�E�ҙ<ز�qT�n�v&��@q�k.�&������V�1��ә>典
 ��
���ɟ����U���j�0�)mʅӥ�L������_W? auL��2��(�i�1MnNU)���,2��%�#�b�UQ���Vͷr�1Ney��0,��,S�

��(��Nֿ]��<KLL�J��
-�7˕)\����oxr�*�JW����������å�$㰴��A_o���z���v�
6�
Kض��a�:}´����u�#f����T��*�
�]=���
��M���2�,V �,c
��er���4C�ù&�L2n�8��s���LGL/W��a?njSd��0�e��tx2ʁ
H�#�)�]<���s�U7����pS��n*�#ױ�u28��ut�Uf�\����UGj�

�
X�� �Q��c��o �nl
��������R�n���
-��o�]�f�[���t�7N1���ѐ��r�.�oA�TE�
�zt��]�%�Q���ͪˆ
-�� �VygM�w�9�
W�-K
���fd�O�I�!��0���t���&�p��z*ـ�k��
�͓����o�̑�\
-J
�6) ��b�h �3>�#
l����_X<�q
7���aO(B��E.[��I&��U��ʏ��Zŝ�X�7��5��TZi�NPX�iU
-�
��Tۯ�G���2Љ�	
S��Ѿ�K $�,;��ъ�:(���6f�
�	����6vT�p�+N�p
9ʦ�BL���ɏ��d��CfF'��d
T�g
	���^Tn
��2�m�
�'�����P�@�(�N�7  �`�Y�[�O�r���C{������<(�.���Fv�m
�����;ᤆ�LI �q"��v��H	���ᕾ{@w�,�i�����M�v���E��M
(�f)���F��1$���o�Hlϲ���s�z�����C�j�:�L
ܘ�?H������r��e�EM��d�+U���NF�D�Ў�I*3����;M=�	���3_ۅ	(\��:

-�)��In1.?	�?��3�r|䃔\�:�HuH��
Q(������P��$X(��f� ���� ��(g{��Z�P-A8�1�6�
�w��,iQՏ=a
H�I�F��������A����{[��C=1C���-V�e�ɀ\�2�n��1c�9���#���
-S�n$5���!���2!LBU/.:�"������m�S����&/��S�)��(�‘^��=*����*�x#����gE倈�$
�e����J�\`�)�v��j�fTI��L�L���t���

���t���C
�f����9
�C���>~�
�k�� {_��TӯH�T�W'�^������D\p���
J����e��u�Y���ce�B�cj�9���<e
���ܹ��-�]��(�g�nË>�[`Qv\&j-ބ9 G��d�{�� 
�/��?V�_Q����x��S#
W�����,^�wP�Y��qZ�������
-�k4W������
'�M��-���7���
-�	r
Dvx[o�}C�%?��e��Ǚg����P�`��
O�<�a|q�{���k*����F֤��_�dL�PL	w�����\r����AO�'�Q���ՆUqT��~�
-\!͡*��xb��z2���!�RZ_�J��4�#�h��uhAn_HK�͚��۱!�Ң�[�%�����"^du��CI~y:'�7
������ᎇ�-�K�ir9���s��� uS	/DsZ7!7x:E�U
-W��;�� �]��Ï >3Ӑ>
�T�1��5
eFl(�o8�XWA���釐AH��ī�,9�щ� �g�p���x�3
$�H
V�@VDx�<~
��<�BR~�
-�M�N���X�~Qς�s��ծ ,��,Aϣ���T�9D���R�g������Ƚ��v��O�E𣬩/���D��k%�\Iw\`��EX}�аL2���`�׹�&�¼�Tu�̜,(���,O��g�q��S
�
S~��PU�6�
-��m
z�f�
Ll�t ���y�������g\fN��c��ub�5=Z�ë@:�z7�o��fD�n?5L�{h���ª�i���=�iR��컷!�����S��Y����ͽ�=�B�<V�j���G
lq�D�/rx`��áf�T.�|�h������9,�5<C��3E���vO^^=��3Wendstream
 endobj
-2098 0 obj <<
-/Type /Page
-/Contents 2099 0 R
-/Resources 2097 0 R
-/MediaBox [0 0 612 792]
-/Parent 2102 0 R
->> endobj
-2100 0 obj <<
-/D [2098 0 R /XYZ 72 720 null]
+2015 0 obj <<
+/D [2013 0 R /XYZ 72 720 null]
 >> endobj
-2101 0 obj <<
-/D [2098 0 R /XYZ 72 485.338 null]
+2016 0 obj <<
+/D [2013 0 R /XYZ 72 333.583 null]
 >> endobj
-2097 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F70 642 0 R /F48 554 0 R /F78 924 0 R /F32 668 0 R /F67 564 0 R /F79 926 0 R /F86 1221 0 R /F76 747 0 R >>
+2012 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F167 1942 0 R >>
+/XObject << /Im9 2007 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2105 0 obj <<
-/Length 2370      
+2026 0 obj <<
+/Length 1015      
 /Filter /FlateDecode
 >>
 stream
-xڭY[o��~�_a(J��d.
^�����M]�S4q��}�D�&"QIy�}�o�
EZ\�����������w�o�y��&U�����Ej/R�)
C��wd��D�/�s��oާz4�;��م�iU����O]�<y�kb�6V&�Xz�G�5�bi�>�v�p6����v�tY
�á�
ƶ������fXZ5�
-{��f�:*ih�r\,��5*7	���DL�Gb�\�I���gG�Q�52��vf��l2�������"wQ�ڢ
���9���KcS��e3�����¦�8���fa����;��ȝ=���¦��T����ʯ:D�jq]U���h	��v���j��	y��Q�lx��
?j�Y�l,�KR�u|r�s��쀧7"	
	��j+
-�M���0�Wl\��*�C��i
'|P�Fp�q}�b���סi
���|=.�����x}W��U
���� j����o�e�=�=����:G�fZ��E@�J�@�
�.� �������y$�����6���c+�y		���|��'���s��n��v�z�+ �	b�9F�%z�
N�;��=0Ļ�M��Q�C.��
-��!���{��������6����v/m���Z���8U�l:�)���ΌS�OQ�ÍW5yV_�9ԏ.���4�5��M�ߣn�J��f�2*f( �,���Ef#�
-���m���؜<��{�
����0g�EO�#�6*֔�|pǝ�L	������
-�n�-+s�����x��u��I�*���^�%��N_N0�Jt:O�9Z��P�ր|7<�u/{��
�`q�of&��O�vJ�6sH��-��]��A��徖r�?ɚ�{<���a�P��~>~�
�<Uy��
���C5�������+P��% �j�)�f�Ӫ��<惡2���9���i�������,��z�t""�"
�*��!����
-a<���
4����ho���ě^��b��&��/y]o$&��_��	gpϟ���Ȃ����f~�pI>ct�|�&.�Ct��Pa­e������`��@�A���K�\""�d1�cI1Z��i�$���W�p�OT�
 K�ޟ�ذ��=�`��?��
�+&�8�?�w�xzN��%��Xm���X|�
�t�9
�����㮛�C/d,��.�&���Gk�O"Oԁ�z�^��]�l�*cU���v N
�8"
x�U-�K��8b����S�����
-J
g":
٫�B�p��?P�ܷRZ:!k���'T\��Ї�P���)Yqs�)�b��l
-h�i2�oB��Ć�m�^rb���IUq� �zD%~Z�.�0K���כ��7��T{�^e�<��
�	}Lس�C"��V
�f[��̒��FC_6#L�
�C0&��
`}�u�{�v�s6bOKW�)i#
�ѓ���]��I�W1{���@���K��
'����9��%qu�P���I�ǝ�
��l��p����fFf�\���J
N�A��'�yߵi���'�C �ng4�*K̋���-�N��^Fd�����\�r�@Ǟ�T"燮g���b�zs��n��M_�'���h��xRGޖeM��
�x���L��r�kd�pg*`aRs�J>�����x�w�w�s�L�`}����$
Eq���vK7�O�H
$+$I�{k�E��n Δ�/?���­SD�,%
)HAL��i�$n��s�l��B|i#�'䣛o�S�G��t��,��
4 �W�����a�y��+���b��t��J'���麯���Z*W�!y��<��/�TK˚�mMI������SV��
x�i�GJ��2iNq3�����Wg�����,��ߊ��!~���(�hӇ��C��{|�0�� ���E~0�3�W#���o�# k`6\�9nZ� [...]
-t�"�[ws�)ˁ?���<S�qp�O�u�� 
��c[~�>�֦�x�
i�V>�^t
y���Fb۔Ӻe��Y��g&� R�\e���0q�7�n��!OƘendstream
+x��WM�9��W�8uĴ�wwK��e�i�p@�
2Ig"�!
�a�۩��n;ә�a(j�ۮzU�\vU^�&O^	[B�֘b�*LZSԼa\���S�|Z�ʛ�(�³�g�7
^=<���Ӓ��b�����|6��(�RL+Y(Q3.U��L�og����Iǰ�-��ē?7�/��w��]\�p� ���d��X��-d���ؔ��M[����\OeaTJ������9ŷ�x��W8� �f�Ne�w���ݞ&P}1':����R�K����m� /�3�E��`^����y8��!��<����{T�Z��-Ӳv�|����J7����g[�!���[&<�
R
HORL֊6��$��w�u��
�T�Hy��sI��L��ԯgHn��aX;��
ܐ��[�>�9
+�]��x O�x�i6>z	�5kk\��n!���#�TZiƹ9ɬ�NpȦ�ĚS�*'"G���X8�Q����d��췁@��nWw~8��>��$����x<*����_�4��(�t1�LԒB�_/G"V�	[��;D�]p��Ş�bY��ٜ��w�� �4V� �w at 3���灠�����/WZvMt�W[��Q��մ�a˜�mr$�tgu�C�;o�
+��H�P~�)
�A�#�~b�	S}^�։K�ɽ�Ͽ��x�� �-)�y�G#K�B9s��
�@��CH�v���c�7D;fg����u`�H��q���$�8'�0z���C^��|Y��u���ˤy���
�����9�Zl=���	�$��
8?���=��7ۡ�*!�e�cɦ�����2��!�pM	����؎��\�YV�+w��XG�<����awsǶk���v��yC�
�Kz�<�G��f�E�l
:X^��,Gk"���~�]i����e<��S���:��u��6-/��?�����V��W�G�_��#hǝ�ɣ)����(LF�O
+8���
+)a�pu�I�L�
$]~���`�}��3ߴ��H[���
5�������� �endstream
 endobj
-2104 0 obj <<
+2025 0 obj <<
 /Type /Page
-/Contents 2105 0 R
-/Resources 2103 0 R
+/Contents 2026 0 R
+/Resources 2024 0 R
 /MediaBox [0 0 612 792]
-/Parent 2102 0 R
-/Annots [ 2107 0 R 2108 0 R ]
+/Parent 1998 0 R
+/Annots [ 2029 0 R ]
 >> endobj
-2107 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [486.847 598.074 509.65 612.022]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.4) >>
->> endobj
-2108 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [450.313 583.628 473.116 597.576]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.6) >>
->> endobj
-2106 0 obj <<
-/D [2104 0 R /XYZ 72 720 null]
->> endobj
-346 0 obj <<
-/D [2104 0 R /XYZ 72 720 null]
->> endobj
-2109 0 obj <<
-/D [2104 0 R /XYZ 72 546.708 null]
->> endobj
-2110 0 obj <<
-/D [2104 0 R /XYZ 72 450.344 null]
->> endobj
-2111 0 obj <<
-/D [2104 0 R /XYZ 72 306.385 null]
->> endobj
-2103 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F25 545 0 R /F32 668 0 R /F26 548 0 R /F86 1221 0 R /F78 924 0 R >>
+2023 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/blogit-JointExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2030 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2114 0 obj <<
-/Length 2127      
-/Filter /FlateDecode
+/Font << /F1 2031 0 R /F2 2032 0 R /F3 2033 0 R >>
+/ExtGState <<
+>>>>
+/Length 2034 0 R
 >>
 stream
-x��YK��6��W�Ѓ
Ĭ��T��v�G
-�آ��Œm5����l7��� %��.��
�ЋM���h���ݫ�Tn!�Ȭ]�m�Z$q*b���nW.WZ���,W*��r��|)�}׌��z��Qy�wH��>��4�}�Ti�P��q}QT}���g���㡬�pR���
���{��\W�G~z�V
��3�ʾl�$G�W�?�~Yċ�4�G�WհD9/,��t�e�
n���$=Q�L�u
�A�,!&o�����t�Il�@\s�+&��J����,WF[z���:��.5
����<�
�N&���X9^c�E"P>�(S�[�$3�jN�T8m㚷���r���h����
��Q�J*	o*Ps�]�����Ї��Qނ8U^���5�9�Lv�������<���"T������δ��^g����/U��i��R��/U�*��g #�v�Å���Qf\딅�V'J�vF+R��1
-S�����)����>K��>o�
-�<��P�Qa�Ȅ�JC�R�'�����!�̇􃳦�y/��¸$Zρ$U� �S�j��V�8�����F%
S7�e*1|�X�� ��A$�G[ �2��l�>8F�1��'�1
8&��p�����(vRN�MӞ��� �� �<��›$�%;JzP`���E�Qb(�?��
-ķ��B��?�|N��/:��/b��!�#���p�ʱ��X�u��a��c3������v��-7e;�f �3�]@(�q��g|{��U���~ސ�3ȋz:�|3��M�! ��
MyO֩�C���!���;�����	+/��k�CʶĚ�Rhl�ҹ���
BUs�8N��w�y�C��aR�[*~�/��U���������fX�fGhn���d
�VQ
�� �������j�wG�˕S2�n��pٰ�Ǻ�kra�ٕ3�u�,�!d|$�V�E�>aIn�Dl����c at 0?�?���C&@ד'�������&"Q�;������	���~�k8Ϥёm�T
�	@�G�h���q���(��M
�Z,E*�Dǰٛ4E��CTTh�m�p��DWѽOhRʮ���[�-��ޗ�Њ9���
	��(���6
���
J�
���`<xx)<��rK:c�$�hi�
Rg1_�)�D?
�'ޓ�
-D���G�)M
��xQ�Ը���lG�e�������BV����8�XqpmK�pm(�5���y��S�S����2+tad���W��0閡��}�o���s��"�x~���X�t�2gam��*�e�ԡ�2�3�>�f�4Q��
��R��i�sY��L�8J�hEv�}�B~���3�"�m,M�!�l2�3(���2�f��)���bW�y�&��-UJӼ��.�
�y~�s��/��H%�"j�pq��E]"q�2 n�7F�#S����[��F��$L
e` ��F¬��
Ս����R#�P�=��'p
���/��}�3��5Z&bk&*iH���-���i�EP����z�%�,Ԟ�/y|(�G|�FÜY
rpU�{&xu��t�����
���:���
&e7gb�I�`���PRy�
�ܺ
-+0����u��^��Ey�
�Ճ�p u��8�
Z96<
-��AY�����ѧA9`{�Su��a����
-GT
�8��z�#����l\�2��Rq�H�tj�_Yp���"9i�6�q
œ=)t��{�F1:���	N2o�Vh�PM�z,��	Թ<��9������20cMEE�{!�6Ҧm
<9WB¹+����|d��o���b�2p��Ĥ�;��0o��s �s�v����H�*��Iq�f��
-F_�pYY��JZ�5~!մ5������ϛ��F�Q^�u�D���i �U��54jj��z�EC[3fp6.7򺘋�Z8����\r=yˆʭ�D�]�_ID����W�RZ�.H
ld���m�w+
l��$Ihhp84�&�&��Rc�3�+��7����\��bЌҳ}�ioAa����dZý�9.���Þ������歿2:�	���
�D��v�=x�����b��Ȗ���z7��c��
�lj����|��߶����w�����endstream
+q
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 105.84 412.57 Tm (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 210.09 233.28 Tm (Pr\(Y1 = 1\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 310.89 Tm (Pr\(Y2 = 1\)) Tj
+ET
+Q q 57.60 273.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+112.60 349.21 m 109.78 353.40 l S
+109.78 353.40 m 110.99 358.40 l S
+110.99 358.40 m 112.60 359.28 l S
+112.60 359.28 m 119.24 363.40 l S
+119.24 363.40 m 126.49 367.61 l S
+126.49 367.61 m 127.44 368.40 l S
+127.44 368.40 m 130.87 373.40 l S
+130.87 373.40 m 140.38 378.36 l S
+140.38 378.36 m 140.45 378.40 l S
+154.27 383.01 m 155.93 383.40 l S
+155.93 383.40 m 168.16 385.21 l S
+168.16 385.21 m 182.04 384.46 l S
+182.04 384.46 m 195.93 384.43 l S
+195.93 384.43 m 209.82 385.80 l S
+209.82 385.80 m 223.71 386.39 l S
+223.71 386.39 m 237.60 385.19 l S
+237.60 385.19 m 245.73 383.40 l S
+245.73 383.40 m 251.49 382.42 l S
+251.49 382.42 m 265.38 380.69 l S
+265.38 380.69 m 279.27 379.42 l S
+279.27 379.42 m 287.29 378.40 l S
+287.29 378.40 m 293.16 377.58 l S
+293.16 377.58 m 303.43 373.40 l S
+303.43 373.40 m 307.04 370.70 l S
+307.04 370.70 m 309.97 368.40 l S
+309.97 368.40 m 318.50 363.40 l S
+318.50 363.40 m 320.93 361.95 l S
+320.93 361.95 m 327.10 358.40 l S
+327.10 358.40 m 331.05 353.40 l S
+331.05 353.40 m 330.57 348.40 l S
+330.57 348.40 m 328.32 343.40 l S
+328.32 343.40 m 329.29 338.40 l S
+329.29 338.40 m 328.92 333.40 l S
+328.92 333.40 m 323.73 328.40 l S
+323.73 328.40 m 320.93 325.71 l S
+320.93 325.71 m 317.27 323.40 l S
+317.27 323.40 m 307.04 320.72 l S
+307.04 320.72 m 293.16 318.90 l S
+293.16 318.90 m 289.62 318.40 l S
+289.62 318.40 m 279.27 316.62 l S
+279.27 316.62 m 265.38 314.41 l S
+265.38 314.41 m 258.72 313.40 l S
+258.72 313.40 m 251.49 311.49 l S
+251.49 311.49 m 237.60 308.54 l S
+237.60 308.54 m 236.92 308.40 l S
+236.92 308.40 m 223.71 305.17 l S
+223.71 305.17 m 214.81 303.40 l S
+214.81 303.40 m 209.82 302.31 l S
+209.82 302.31 m 195.93 302.05 l S
+195.93 302.05 m 191.48 303.40 l S
+191.48 303.40 m 182.04 308.10 l S
+182.04 308.10 m 181.47 308.40 l S
+181.47 308.40 m 168.16 311.20 l S
+168.16 311.20 m 154.27 311.70 l S
+154.27 311.70 m 140.38 312.94 l S
+140.38 312.94 m 137.80 313.40 l S
+137.80 313.40 m 126.49 318.40 l S
+126.49 318.40 m 126.94 323.40 l S
+126.94 323.40 m 127.49 328.40 l S
+127.49 328.40 m 126.49 331.09 l S
+126.49 331.09 m 124.72 333.40 l S
+124.72 333.40 m 115.41 338.40 l S
+115.41 338.40 m 112.98 343.40 l S
+112.98 343.40 m 112.96 348.40 l S
+112.96 348.40 m 112.60 349.21 l S
+140.45 378.40 m 143.54 379.43 l S
+0.23 w
+[] 0 d
+149.21 383.73 m 147.15 383.04 l S
+147.15 383.04 m 147.57 381.12 l S
+147.57 381.12 m 147.70 381.39 l S
+147.70 381.39 m 148.25 381.81 l S
+148.25 381.81 m 148.87 382.01 l S
+148.87 382.01 m 149.56 382.01 l S
+149.56 382.01 m 150.11 381.74 l S
+150.11 381.74 m 150.52 381.19 l S
+150.52 381.19 m 150.66 380.78 l S
+150.66 380.78 m 150.66 380.09 l S
+150.66 380.09 m 150.38 379.54 l S
+150.38 379.54 m 149.83 379.13 l S
+149.83 379.13 m 149.22 378.92 l S
+149.22 378.92 m 148.53 378.92 l S
+148.53 378.92 m 148.25 379.06 l S
+148.25 379.06 m 147.91 379.40 l S
+0.75 w
+[] 0 d
+140.38 335.51 m 137.84 338.40 l S
+137.84 338.40 m 133.82 343.40 l S
+133.82 343.40 m 131.03 348.40 l S
+131.03 348.40 m 129.31 353.40 l S
+129.31 353.40 m 133.21 358.40 l S
+133.21 358.40 m 140.38 361.92 l S
+140.38 361.92 m 143.50 363.40 l S
+143.50 363.40 m 151.46 368.40 l S
+151.46 368.40 m 154.27 370.22 l S
+154.27 370.22 m 159.08 373.40 l S
+159.08 373.40 m 168.16 377.23 l S
+168.16 377.23 m 178.75 378.40 l S
+178.75 378.40 m 182.04 378.64 l S
+182.04 378.64 m 195.93 379.59 l S
+195.93 379.59 m 209.82 380.86 l S
+209.82 380.86 m 223.71 381.03 l S
+223.71 381.03 m 237.60 379.19 l S
+237.60 379.19 m 241.28 378.40 l S
+241.28 378.40 m 251.49 376.22 l S
+251.49 376.22 m 265.38 373.92 l S
+265.38 373.92 m 269.63 373.40 l S
+269.63 373.40 m 279.27 371.91 l S
+279.27 371.91 m 290.11 368.40 l S
+290.11 368.40 m 293.16 365.62 l S
+293.16 365.62 m 295.34 363.40 l S
+295.34 363.40 m 300.66 358.40 l S
+300.66 358.40 m 307.04 354.78 l S
+307.04 354.78 m 308.85 353.40 l S
+308.85 353.40 m 308.94 348.40 l S
+308.94 348.40 m 307.70 343.40 l S
+307.70 343.40 m 309.22 338.40 l S
+309.22 338.40 m 307.04 334.13 l S
+307.04 334.13 m 306.69 333.40 l S
+306.69 333.40 m 294.88 328.40 l S
+294.88 328.40 m 293.16 327.95 l S
+293.16 327.95 m 279.27 325.29 l S
+279.27 325.29 m 271.37 323.40 l S
+271.37 323.40 m 265.38 321.87 l S
+265.38 321.87 m 251.49 318.76 l S
+251.49 318.76 m 249.44 318.40 l S
+249.44 318.40 m 237.60 316.08 l S
+237.60 316.08 m 223.71 314.57 l S
+223.71 314.57 m 209.82 313.75 l S
+209.82 313.75 m 195.93 315.05 l S
+195.93 315.05 m 183.60 318.40 l S
+183.60 318.40 m 182.04 318.72 l S
+154.27 319.71 m 146.39 323.40 l S
+146.39 323.40 m 143.23 328.40 l S
+143.23 328.40 m 141.39 333.40 l S
+141.39 333.40 m 140.38 335.51 l S
+182.04 318.72 m 169.91 319.15 l S
+0.23 w
+[] 0 d
+159.10 320.95 m 159.54 321.15 l S
+159.54 321.15 m 160.21 321.78 l S
+160.21 321.78 m 160.05 317.22 l S
+164.12 321.64 m 163.46 321.45 l S
+163.46 321.45 m 163.01 320.81 l S
+163.01 320.81 m 162.75 319.73 l S
+162.75 319.73 m 162.73 319.08 l S
+162.73 319.08 m 162.91 317.99 l S
+162.91 317.99 m 163.32 317.32 l S
+163.32 317.32 m 163.96 317.08 l S
+163.96 317.08 m 164.40 317.06 l S
+164.40 317.06 m 165.05 317.26 l S
+165.05 317.26 m 165.51 317.89 l S
+165.51 317.89 m 165.77 318.97 l S
+165.77 318.97 m 165.79 319.62 l S
+165.79 319.62 m 165.61 320.72 l S
+165.61 320.72 m 165.20 321.39 l S
+165.20 321.39 m 164.56 321.63 l S
+164.56 321.63 m 164.12 321.64 l S
+0.75 w
+[] 0 d
+154.27 328.98 m 150.69 333.40 l S
+150.69 333.40 m 148.06 338.40 l S
+148.06 338.40 m 146.04 343.40 l S
+146.04 343.40 m 143.26 348.40 l S
+143.26 348.40 m 142.00 353.40 l S
+142.00 353.40 m 147.76 358.40 l S
+147.76 358.40 m 154.27 361.32 l S
+154.27 361.32 m 159.48 363.40 l S
+159.48 363.40 m 167.99 368.40 l S
+167.99 368.40 m 168.16 368.49 l S
+168.16 368.49 m 182.04 372.93 l S
+182.04 372.93 m 184.79 373.40 l S
+184.79 373.40 m 195.93 374.71 l S
+195.93 374.71 m 209.82 376.32 l S
+237.60 374.49 m 242.31 373.40 l S
+242.31 373.40 m 251.49 370.38 l S
+251.49 370.38 m 259.97 368.40 l S
+259.97 368.40 m 265.38 365.38 l S
+265.38 365.38 m 269.24 363.40 l S
+269.24 363.40 m 271.46 358.40 l S
+271.46 358.40 m 279.27 355.57 l S
+279.27 355.57 m 285.62 353.40 l S
+285.62 353.40 m 293.16 349.22 l S
+293.16 349.22 m 293.93 348.40 l S
+293.93 348.40 m 295.35 343.40 l S
+295.35 343.40 m 296.62 338.40 l S
+296.62 338.40 m 293.16 335.05 l S
+293.16 335.05 m 290.32 333.40 l S
+290.32 333.40 m 279.27 330.71 l S
+279.27 330.71 m 268.95 328.40 l S
+268.95 328.40 m 265.38 327.51 l S
+265.38 327.51 m 251.63 323.40 l S
+251.63 323.40 m 251.49 323.36 l S
+251.49 323.36 m 237.60 320.41 l S
+237.60 320.41 m 223.71 319.26 l S
+223.71 319.26 m 209.82 319.35 l S
+209.82 319.35 m 195.93 321.95 l S
+195.93 321.95 m 189.00 323.40 l S
+189.00 323.40 m 182.04 324.52 l S
+182.04 324.52 m 168.16 324.51 l S
+168.16 324.51 m 155.21 328.40 l S
+155.21 328.40 m 154.27 328.98 l S
+225.44 375.29 m 237.60 374.49 l S
+0.23 w
+[] 0 d
+214.69 377.42 m 215.14 377.61 l S
+215.14 377.61 m 215.83 378.21 l S
+215.83 378.21 m 215.53 373.66 l S
+221.03 377.87 m 218.87 378.01 l S
+218.87 378.01 m 218.52 376.07 l S
+218.52 376.07 m 218.75 376.28 l S
+218.75 376.28 m 219.42 376.45 l S
+219.42 376.45 m 220.07 376.41 l S
+220.07 376.41 m 220.70 376.15 l S
+220.70 376.15 m 221.11 375.69 l S
+221.11 375.69 m 221.28 375.02 l S
+221.28 375.02 m 221.25 374.59 l S
+221.25 374.59 m 220.99 373.95 l S
+220.99 373.95 m 220.53 373.54 l S
+220.53 373.54 m 219.87 373.37 l S
+219.87 373.37 m 219.21 373.41 l S
+219.21 373.41 m 218.58 373.67 l S
+218.58 373.67 m 218.38 373.91 l S
+218.38 373.91 m 218.19 374.35 l S
+0.75 w
+[] 0 d
+154.27 346.58 m 153.33 348.40 l S
+153.33 348.40 m 152.82 353.40 l S
+152.82 353.40 m 154.27 354.43 l S
+154.27 354.43 m 161.23 358.40 l S
+161.23 358.40 m 168.16 361.14 l S
+168.16 361.14 m 177.88 363.40 l S
+177.88 363.40 m 182.04 365.01 l S
+182.04 365.01 m 195.93 366.52 l S
+195.93 366.52 m 208.39 368.40 l S
+208.39 368.40 m 209.82 368.62 l S
+209.82 368.62 m 223.71 370.02 l S
+223.71 370.02 m 232.71 368.40 l S
+232.71 368.40 m 237.60 366.62 l S
+237.60 366.62 m 241.48 363.40 l S
+241.48 363.40 m 249.91 358.40 l S
+249.91 358.40 m 251.49 357.83 l S
+251.49 357.83 m 262.30 353.40 l S
+262.30 353.40 m 265.38 352.13 l S
+265.38 352.13 m 277.02 348.40 l S
+277.02 348.40 m 279.27 346.73 l S
+279.27 346.73 m 282.47 343.40 l S
+282.47 343.40 m 282.83 338.40 l S
+282.83 338.40 m 279.27 336.63 l S
+279.27 336.63 m 266.86 333.40 l S
+266.86 333.40 m 265.38 333.10 l S
+265.38 333.10 m 251.49 328.57 l S
+251.49 328.57 m 251.18 328.40 l S
+251.18 328.40 m 237.60 324.29 l S
+237.60 324.29 m 230.55 323.40 l S
+213.92 323.40 m 209.82 323.77 l S
+209.82 323.77 m 195.93 327.04 l S
+195.93 327.04 m 187.27 328.40 l S
+187.27 328.40 m 182.04 329.15 l S
+182.04 329.15 m 168.16 330.14 l S
+168.16 330.14 m 161.46 333.40 l S
+161.46 333.40 m 157.34 338.40 l S
+157.34 338.40 m 155.95 343.40 l S
+155.95 343.40 m 154.27 346.58 l S
+230.55 323.40 m 229.57 323.40 l S
+0.23 w
+[] 0 d
+218.26 324.60 m 218.26 324.81 l S
+218.26 324.81 m 218.48 325.25 l S
+218.48 325.25 m 218.70 325.46 l S
+218.70 325.46 m 219.13 325.68 l S
+219.13 325.68 m 220.00 325.68 l S
+220.00 325.68 m 220.44 325.46 l S
+220.44 325.46 m 220.66 325.25 l S
+220.66 325.25 m 220.87 324.81 l S
+220.87 324.81 m 220.87 324.38 l S
+220.87 324.38 m 220.66 323.94 l S
+220.66 323.94 m 220.22 323.29 l S
+220.22 323.29 m 218.05 321.12 l S
+218.05 321.12 m 221.09 321.12 l S
+223.70 325.68 m 223.05 325.46 l S
+223.05 325.46 m 222.61 324.81 l S
+222.61 324.81 m 222.39 323.73 l S
+222.39 323.73 m 222.39 323.07 l S
+222.39 323.07 m 222.61 321.99 l S
+222.61 321.99 m 223.05 321.34 l S
+223.05 321.34 m 223.70 321.12 l S
+223.70 321.12 m 224.13 321.12 l S
+224.13 321.12 m 224.79 321.34 l S
+224.79 321.34 m 225.22 321.99 l S
+225.22 321.99 m 225.44 323.07 l S
+225.44 323.07 m 225.44 323.73 l S
+225.44 323.73 m 225.22 324.81 l S
+225.22 324.81 m 224.79 325.46 l S
+224.79 325.46 m 224.13 325.68 l S
+224.13 325.68 m 223.70 325.68 l S
+0.75 w
+[] 0 d
+168.16 337.43 m 167.15 338.40 l S
+167.15 338.40 m 166.23 343.40 l S
+166.23 343.40 m 164.10 348.40 l S
+164.10 348.40 m 164.31 353.40 l S
+164.31 353.40 m 168.16 355.42 l S
+168.16 355.42 m 180.25 358.40 l S
+180.25 358.40 m 182.04 358.81 l S
+209.82 359.13 m 223.71 359.85 l S
+223.71 359.85 m 230.73 358.40 l S
+230.73 358.40 m 237.60 357.48 l S
+237.60 357.48 m 248.89 353.40 l S
+248.89 353.40 m 251.49 352.20 l S
+251.49 352.20 m 260.78 348.40 l S
+260.78 348.40 m 265.38 343.84 l S
+265.38 343.84 m 265.99 343.40 l S
+265.99 343.40 m 265.38 342.78 l S
+265.38 342.78 m 251.86 338.40 l S
+251.86 338.40 m 251.49 338.33 l S
+251.49 338.33 m 241.64 333.40 l S
+241.64 333.40 m 237.60 330.67 l S
+237.60 330.67 m 232.14 328.40 l S
+232.14 328.40 m 223.71 327.26 l S
+223.71 327.26 m 212.87 328.40 l S
+212.87 328.40 m 209.82 328.79 l S
+209.82 328.79 m 195.93 331.65 l S
+195.93 331.65 m 182.98 333.40 l S
+182.98 333.40 m 182.04 333.58 l S
+182.04 333.58 m 168.16 337.43 l S
+197.69 358.99 m 209.82 359.13 l S
+0.23 w
+[] 0 d
+186.38 360.05 m 186.38 360.27 l S
+186.38 360.27 m 186.59 360.71 l S
+186.59 360.71 m 186.80 360.93 l S
+186.80 360.93 m 187.23 361.15 l S
+187.23 361.15 m 188.10 361.16 l S
+188.10 361.16 m 188.54 360.95 l S
+188.54 360.95 m 188.76 360.73 l S
+188.76 360.73 m 188.98 360.30 l S
+188.98 360.30 m 188.99 359.87 l S
+188.99 359.87 m 188.78 359.43 l S
+188.78 359.43 m 188.35 358.77 l S
+188.35 358.77 m 186.20 356.57 l S
+186.20 356.57 m 189.24 356.61 l S
+193.10 361.22 m 190.93 361.19 l S
+190.93 361.19 m 190.73 359.23 l S
+190.73 359.23 m 190.95 359.45 l S
+190.95 359.45 m 191.60 359.68 l S
+191.60 359.68 m 192.25 359.69 l S
+192.25 359.69 m 192.91 359.48 l S
+192.91 359.48 m 193.35 359.05 l S
+193.35 359.05 m 193.57 358.40 l S
+193.57 358.40 m 193.58 357.96 l S
+193.58 357.96 m 193.37 357.31 l S
+193.37 357.31 m 192.94 356.87 l S
+192.94 356.87 m 192.29 356.64 l S
+192.29 356.64 m 191.63 356.64 l S
+191.63 356.64 m 190.98 356.85 l S
+190.98 356.85 m 190.76 357.06 l S
+190.76 357.06 m 190.54 357.49 l S
+0.75 w
+[] 0 d
+182.04 342.70 m 181.35 343.40 l S
+181.35 343.40 m 178.77 348.40 l S
+178.77 348.40 m 182.04 352.51 l S
+182.04 352.51 m 195.93 352.98 l S
+195.93 352.98 m 199.29 353.40 l S
+199.29 353.40 m 209.82 354.11 l S
+209.82 354.11 m 223.71 355.32 l S
+223.71 355.32 m 237.60 353.41 l S
+237.60 353.41 m 237.62 353.40 l S
+237.62 353.40 m 248.39 348.40 l S
+248.39 348.40 m 246.80 343.40 l S
+246.80 343.40 m 237.60 340.58 l S
+237.60 340.58 m 230.64 338.40 l S
+230.64 338.40 m 223.71 335.00 l S
+223.71 335.00 m 209.82 334.55 l S
+189.23 338.40 m 182.04 342.70 l S
+209.82 334.55 m 204.62 335.52 l S
+0.23 w
+[] 0 d
+194.14 339.80 m 196.49 339.36 l S
+196.49 339.36 m 194.89 337.89 l S
+194.89 337.89 m 195.53 337.77 l S
+195.53 337.77 m 195.92 337.48 l S
+195.92 337.48 m 196.09 337.23 l S
+196.09 337.23 m 196.18 336.55 l S
+196.18 336.55 m 196.10 336.12 l S
+196.10 336.12 m 195.77 335.52 l S
+195.77 335.52 m 195.26 335.17 l S
+195.26 335.17 m 194.58 335.08 l S
+194.58 335.08 m 193.94 335.20 l S
+193.94 335.20 m 193.34 335.53 l S
+193.34 335.53 m 193.16 335.78 l S
+193.16 335.78 m 193.03 336.25 l S
+199.27 338.84 m 198.59 338.75 l S
+198.59 338.75 m 198.04 338.19 l S
+198.04 338.19 m 197.62 337.16 l S
+197.62 337.16 m 197.50 336.52 l S
+197.50 336.52 m 197.52 335.41 l S
+197.52 335.41 m 197.83 334.69 l S
+197.83 334.69 m 198.43 334.36 l S
+198.43 334.36 m 198.85 334.28 l S
+198.85 334.28 m 199.53 334.37 l S
+199.53 334.37 m 200.08 334.93 l S
+200.08 334.93 m 200.50 335.96 l S
+200.50 335.96 m 200.62 336.60 l S
+200.62 336.60 m 200.60 337.71 l S
+200.60 337.71 m 200.29 338.43 l S
+200.29 338.43 m 199.69 338.76 l S
+199.69 338.76 m 199.27 338.84 l S
+0.75 w
+[] 0 d
+209.82 341.52 m 204.94 343.40 l S
+204.94 343.40 m 209.82 347.20 l S
+209.82 347.20 m 211.73 348.40 l S
+235.92 348.40 m 229.06 343.40 l S
+229.06 343.40 m 223.71 341.77 l S
+223.71 341.77 m 209.82 341.52 l S
+227.38 348.40 m 235.92 348.40 l S
+0.23 w
+[] 0 d
+216.30 350.68 m 218.69 350.68 l S
+218.69 350.68 m 217.38 348.94 l S
+217.38 348.94 m 218.04 348.94 l S
+218.04 348.94 m 218.47 348.73 l S
+218.47 348.73 m 218.69 348.51 l S
+218.69 348.51 m 218.91 347.86 l S
+218.91 347.86 m 218.91 347.42 l S
+218.91 347.42 m 218.69 346.77 l S
+218.69 346.77 m 218.25 346.34 l S
+218.25 346.34 m 217.60 346.12 l S
+217.60 346.12 m 216.95 346.12 l S
+216.95 346.12 m 216.30 346.34 l S
+216.30 346.34 m 216.08 346.55 l S
+216.08 346.55 m 215.86 346.99 l S
+222.82 350.68 m 220.64 350.68 l S
+220.64 350.68 m 220.43 348.73 l S
+220.43 348.73 m 220.64 348.94 l S
+220.64 348.94 m 221.30 349.16 l S
+221.30 349.16 m 221.95 349.16 l S
+221.95 349.16 m 222.60 348.94 l S
+222.60 348.94 m 223.04 348.51 l S
+223.04 348.51 m 223.25 347.86 l S
+223.25 347.86 m 223.25 347.42 l S
+223.25 347.42 m 223.04 346.77 l S
+223.04 346.77 m 222.60 346.34 l S
+222.60 346.34 m 221.95 346.12 l S
+221.95 346.12 m 221.30 346.12 l S
+221.30 346.12 m 220.64 346.34 l S
+220.64 346.34 m 220.43 346.55 l S
+220.43 346.55 m 220.21 346.99 l S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+67.00 273.60 m 393.93 273.60 l S
+67.00 273.60 m 67.00 270.00 l S
+113.70 273.60 m 113.70 270.00 l S
+160.41 273.60 m 160.41 270.00 l S
+207.11 273.60 m 207.11 270.00 l S
+253.82 273.60 m 253.82 270.00 l S
+300.52 273.60 m 300.52 270.00 l S
+347.23 273.60 m 347.23 270.00 l S
+393.93 273.60 m 393.93 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 55.32 253.44 Tm (0.20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 102.03 253.44 Tm (0.25) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 148.73 253.44 Tm (0.30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 195.44 253.44 Tm (0.35) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 242.14 253.44 Tm (0.40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 288.85 253.44 Tm (0.45) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 335.55 253.44 Tm (0.50) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 382.26 253.44 Tm (0.55) Tj
+ET
+57.60 288.49 m 57.60 397.63 l S
+57.60 288.49 m 54.00 288.49 l S
+57.60 315.78 m 54.00 315.78 l S
+57.60 343.06 m 54.00 343.06 l S
+57.60 370.35 m 54.00 370.35 l S
+57.60 397.63 m 54.00 397.63 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 280.15 Tm (0.4) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 307.44 Tm (0.5) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 334.72 Tm (0.6) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 362.01 Tm (0.7) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 389.29 Tm (0.8) Tj
+ET
+57.60 273.60 m
+417.60 273.60 l
+417.60 403.20 l
+57.60 403.20 l
+57.60 273.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+Q q 0.00 0.00 432.00 216.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.40 181.86 26.09 re B
+57.60 93.70 288.00 26.09 re B
+57.60 125.01 91.30 26.09 re B
+57.60 156.31 181.11 26.09 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 63.11 Tm (\(0,0\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 125.72 Tm (\(1,0\)) Tj
+ET
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 147.53 196.57 Tm (Predicted Values: \(Y1,Y2\)|X) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.93 17.28 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 57.60 m 354.51 57.60 l S
+57.60 57.60 m 57.60 54.00 l S
+131.83 57.60 m 131.83 54.00 l S
+206.05 57.60 m 206.05 54.00 l S
+280.28 57.60 m 280.28 54.00 l S
+354.51 57.60 m 354.51 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 54.26 37.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 125.15 37.44 Tm (10) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 199.38 37.44 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 273.61 37.44 Tm (30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 347.84 37.44 Tm (40) Tj
+ET
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-2113 0 obj <<
-/Type /Page
-/Contents 2114 0 R
-/Resources 2112 0 R
-/MediaBox [0 0 612 792]
-/Parent 2102 0 R
+2030 0 obj
+<<
+/CreationDate (D:20070601023253)
+/ModDate (D:20070601023253)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2031 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2032 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2035 0 R
+>>
+endobj
+2033 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2035 0 R
+>>
+endobj
+2034 0 obj
+17629
+endobj
+2035 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2029 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [282.731 126.076 290.569 138.953]
+/Subtype /Link
+/A << /S /GoTo /D (Item.220) >>
 >> endobj
-2115 0 obj <<
-/D [2113 0 R /XYZ 72 720 null]
+2027 0 obj <<
+/D [2025 0 R /XYZ 72 720 null]
 >> endobj
-2116 0 obj <<
-/D [2113 0 R /XYZ 72 426.725 null]
+2028 0 obj <<
+/D [2025 0 R /XYZ 72 304.072 null]
 >> endobj
-2112 0 obj <<
-/Font << /F26 548 0 R /F78 924 0 R /F70 642 0 R /F29 672 0 R /F48 554 0 R /F67 564 0 R /F79 926 0 R >>
+2024 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F69 550 0 R /F142 743 0 R >>
+/XObject << /Im10 2023 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2119 0 obj <<
-/Length 870       
+2038 0 obj <<
+/Length 2745      
 /Filter /FlateDecode
 >>
 stream
-xڭVKo�0
��W;�X�J��G�
X��P�Ц�u'q~�ܹ=췏��ޜ.v�E��D~")_.�ί�p&���-��Н�<b�i��ZtI���J������
���<
�
�eP�@0��غ�
a%`�dk����J
-��4
�2�9���@|�AW)PL�8�g�K�S�h���D�c4E�
r4�G&�
~�̋�)lG
-��@%�\r�1���`EL� �c�gjTV$��%����UT��M��^۠���	_���3��lC��N��<��T���"�D��
`�V����z���

H�z�R����q�9�)A:��ѡ���O'�A��nR�}ZxO&oz��
GWXo��g2�F�a�k �/�?l

C-���aNG�{Bےd�(a�Z�h��!:�Gn>b�5�W5��p	k7w��=4u�5�ՠE���O�Z�
�����=���M�!9m)�$o����Ū���ttq��
-,�6O���*�mL���Ғ4��֋e�����
�Z�v"_=ڀ+LFw|�Ӹ�i���O`�P��~'��3��t�I����c!{�?z3Yþ1O�5�
���6-�3
��ݶ���>�_J�
��]�pm�~�6�(ooPk�z‘�����5Y
�"��X�U1j���[gը����Ug�V��r�:>�Y�gY��v"�-CF7��;�y
-�-�.�=S�+��FCO(��B�"Mņ���T������Ֆ(��T�9�ߵ���^���6V(=ќȆɺjK<\�N�75O��ѳז�:���6֜�ƎP�wͪ��`p�5cQi:ֶ��׸�¯c+�
-~>�Z�
=5�x��X��y�鎣����C����'��b�endstream
+x��ZKo�F�ϯ�C3���w7��
������8��D��JY
�R~}�_d7Y��DJ�
�4��������O߼���1R+�<y�d���Rׂ��^����z�f�f��W��k�V��߽{кz�~
�¤
�~t�£��o�;�ݛxu��kl�8���.���nӾ\�z��7o�6�tYqA����+��ʭI"�������U�m=��{�
U.��/�Ջ��Y|��G~�U�0y	?h��n!�ĭ��~��Ys���պ}_���Lh���<H)J�r�=� �/�v���s��P��abr��I"�
�vW��	f�q�
 
2`2�A�koꕠD1�W�q
r����jBs�0{��|��^�U�X:[s����r��1�if巍���ͮW�NY�(�q���t����n����M!�ȓ�V�
��7��.;�\/ž��,�"\ػ����
]/
��{���9(
.��1���*���p�,vw����z�G��E�j�}͗�Q$��]���
o��Њ�
��ƜЍ�n9��\DK�݅A�.��)aa$xP����|佊����d �}l(2��ǀ|m�i�@�؉�gž��N�,D'�u�!+���k���o:+�����ؐ��.���1KN
7?�ư_���ྂ�1.1i̽q�h\�,Q`��3����s�n{
{al�%����*LI*O�M!�"P0L�c���/
�
�8n����)�͊p r�n&=���s�?
ҘFK�t��7�n$���o��]��0�7n
+�+5W�rnmZ�6L>
��y�܄'�e�7��&
����Fi����'1|�z�|�lf�PH��Tx:
�^A����h���ET.>?Ew���^ކ�X�z!��,q��I�o	U"��+l!N$�q�;�HMX��ہD(�zZ��pZ������RA�'/�r��X�E�suAc����Al&����3�q�V�>�9ɒ�ҽ��)\

���\t��yH�p�j�����h�!L��Q����p�̱
+��Sp�p
������JfB��bN
�D���-$z��JBa ��n�Vtu�q��.΀3�Ǎl�o�妹١kq"x2��sԂ��w*�l�=\���%�㠛��
+T�tHv���MVz\e�t�(FX����
+�l��	�&c�YI�)���@1�,5%�6�`RUU:
����!��n�~m���6���kC<�6ʥ&�!�
mP���e�6(;B�,�Ϻ.b��
���U#�
+ V��1��<�Wܘ�O�*`�	�sȊ�_�� ~
�i���4��~6����
ETC��i�vizT��|D�ey���
S�
+�9�V)��K��6�����-R��vw����z+#��‡��S��c�c���wt� �*�����>�A4ѝ�?���z��
��(�]��$��p*u!���#\��$3�h+J��Kd�(2\���G/�\�����<H5�B�
�H��UQ���J�i�� �2��D3�l�wa���0-Ol�"S��z���ʉ��iBh|Dk}
�E
�y�.
���F�Hd�W(-�� :�8|�/3������>��彚��ڳ�[�}��u[��(Z���d��&�d㢸���z�n�;���1����@$6��
3�~:��1
�}�
+FiD�v!"p���
p7
7@�B�"p8%(x�[����a��?'
�.tɖ\Մ��",_�]/>-~��.�t�Âi��
�S�E��^Ъ�������V��U�ף��4��  I�
�0_}
.��mc�
-9���Pk�)b<`�TR�j �ϑ D,�RYs\�={aVp�A5��s�h�H
T�Ҟ/�4���W at 7^k�$�|��\.S��X
F,@��}�|m��`�
���{�4X!�=�\�Tt��C�Z,�Y�E�jqx^��XR�5B���
��Ri�/��e���%
����V!Њ>��P'
֥�"�~��m����
��

N��n�A�Z�_pk�>xM3pĠ�ʗ� ��Ƨ���������UQu��S�v�Y"pk'��
���]]Ÿ�����6F�n4щ���K��qR.�Q
��@����L��t���;
��9*�����
��"��&k

	+�!�
j��9�0TN
���<���s�/g���-��M)s�
zD@���I#��q�@��&]_���]D�:i�a�m��x���I���2�>�PN��ءP���D*[���'|�G����"]�p���,��o���4�
<
3:(J���a�T}% �[=��/
t"-Ș�|�	G�X+C
QE<
+­(�IQ�� �@:������t�E�s���U]�(�9h���V
+W/���;i]O��o��
FٌN��-;��K��I
��a��*�L#gJ��4 N������΁V���9c�_�a���H�/	㢏M8V���l�Q�k=�C��7�X����e	� pHX��B�ʦ��u]A��Q���mB���fA��
��zo�� ~j`*
�g��
��C���;�2j^߃�.�Zw�z������>mQx���qə��/2���d���g=89�i�
+�~Uy���b�(B׼ر7����8ڊ�Q��:VPC�Sٹb¨!Ҋ�:�Jz��* c�'�+�ף����'����@+�g5��ƃ�#Zk�@v��#���ғ�%=9GzrRz�GTc��
�
+�^cf
Q�#Ό��r�Y�B�b��J ��b�}:o��

>�7)��Ưc�endstream
 endobj
-2118 0 obj <<
+2037 0 obj <<
 /Type /Page
-/Contents 2119 0 R
-/Resources 2117 0 R
+/Contents 2038 0 R
+/Resources 2036 0 R
 /MediaBox [0 0 612 792]
-/Parent 2102 0 R
+/Parent 1998 0 R
 >> endobj
-2120 0 obj <<
-/D [2118 0 R /XYZ 72 720 null]
+2039 0 obj <<
+/D [2037 0 R /XYZ 72 720 null]
 >> endobj
-2121 0 obj <<
-/D [2118 0 R /XYZ 72 697.999 null]
+2040 0 obj <<
+/D [2037 0 R /XYZ 72 571.441 null]
 >> endobj
-2122 0 obj <<
-/D [2118 0 R /XYZ 72 702.981 null]
+2041 0 obj <<
+/D [2037 0 R /XYZ 72 243.705 null]
 >> endobj
-2117 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+2036 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F114 560 0 R /F32 667 0 R /F69 550 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F126 638 0 R /F38 1435 0 R /F75 1442 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2125 0 obj <<
-/Length 2958      
-/Filter /FlateDecode
->>
-stream
-x��[Ko����W�H!��~?v0�L��@2H�=�m3C��H���>U�M��(��ȓ݋�G�����w�ç�?j3c�8�f��g��
��J�[�����/KVY1����?~�7�����пTe����|!�K��,\�WEQ͹M��
���>�	���cB�,�Ez���I� ��8��9�U�34@=+�/��tΒ��0؀�}�6�2O�p�)TM�`��~����S����j�|�[�T�L�,��$���l��&B(� Rj��C�?lp��c����ɶ̛�:�[��+ڮ.Y�!�����|��I�
f	7.�{K�&�	t�1�ϻ��id*�	u:��q������%k\��a�����j[.�r��58��%���_!�A�ź�0C��G�!��p��<�B13�	�vL���z��&Z�kK�o�Q�a�;�����+�b���8J7�K��gd�B�y.��z�x�7Y���U�FM͂�	f��u�U�A��u��M�N?�Ȇ0�:t�#�wv�M� [...]
�tv�
�̡��U�aq�ϛt�-�E������������_"���
O�N�R���cZh����U�Fw̤�-�3w��,�X�0NG�x�/�����K at Y}D�s�m��&lއ"�>���
�ϙd�ڠ
��� ��y+���z��?�0D;|���I�a,�`K� �6
�7�zķ9Cp�X+����1?T�vߕ�Yݵ��G��(#��� ���# �gAd���1]E�
�N
-�QO~�@d'�/`D{��p����I �]�r%�YF�1�9Ȥ�
�,aV��|��z֟�LҾ�:?˫�-��:!;�!������ӎ0`
F��͐��
����~�'�}R��O�<�o�}�+���6K�q;5!f�ߞE���%���L��cbBN��8Ƀ�69@��m��6�B�Twu��2�KV�T&i
~��y���Ķ����DZ��H3]6yU�d���%�o_�瘖�?�
-d���[�
�m�DF��	,���.\�a��'vp�C�4/�U p�����5^o�&*^|Mf@7mS5Q��l�
<�I7qx�5�1gi��m��J��dT�n��1-�
�	��_�x�U�n�
�i�NU��`o��B��nX6�^@t�� �	��}u�	 ��eT ��j[�"�M(e��^�����Z���C�
V�&.�G����X�cI[���€�j�#��lS�R%�uV5��&�lY�k� ��bh
|I�WlB�-���:f�~Z�XW^7WY�m \�y�
SOf0��k��+��)ޏ�Cr}�Jޠ
n�����-mm�^4�޲�k����#�A�r��i%R�b���wؚk��H��B�b4�8�
�g��	M�Ќ�&�2���/]DQ��o�;=
�c/�eUT�������ˬ}���~0R����@�����ցh^h�a���m
-I��u��w�X�S���A��ZR�v� ֆ.�-owk߳�Ι���AmK�iI
�
8Z>�u�C�$��T�'�Sfe3:��'P��
�6�������^"�v����i3���� ��g��>iWl�0�F=mD�3�1ђ���
��&�{!~l��R&�NJ��|wA�(Č��ra&�w��T�������C^Vk�Nz�ϸ%��j+N�!,�zw��L��1�
Ĩ�A:$t���l6�̐Xh�-�]L^�$��+0B�+��
����N�7��o��7��|�<������o���xE|�}x�J�A.*���
�@�?��
-����f��h�5�tBe߂z_lD�G���q�
-C�'` :.|���wyl�9����&|~��_Bj.>~x��-),]�[z�T�|��!1�]e��mc�
-� 3�zKFq��8�F�j������X�ʂ�W��O���Tǒ%�%<\�
�01`��$(⩛�����|��)��?�_8�Ⱦ
-a�Q�t��Ž��|��y:�|���m���=%� ��=Ƙy��@���a,�D�<��k��/u���
�PM8o�J^�[
�xCȉ����>�`0��M��U��R	_%�d���OcI�#�;tK9I��*2v�!�<پ I�;2�;�_H�����>����Y
�߿��=j�M�nJ�	��7pۖ(�v	�,�B�sb��Ĉ[��I9j�#��#^8<N��
L����C'|S�X�{`�}�4�D�kajG����o�b`jLi�:�'Y93��N
-v3oB?��œ����p�
['a|g�����'9?wq�8_���p�]�C�z����rʦ
��
Q�=f�j﬙��\�k���VYw��
쒣��e[�B����x�16��J�mcUF���M�Ʈq��Y, �Br���-Uԟ\�6۶�
��M
��k�i�]�
-}[%3���ܗ�^�	��겲�$
.�(���W{�t�Ä��m��HÓ`��A��_z��F?�<m���
���b<0r,~���&�6�@8r�[��"
�j�XG�X;Q��7鳅
7%���ኾ�
;mO
��!�]�ۻPS�Q�ס�*�r|�:��x/�������8�ʭ��>�ŀ��8=ZSݍ�%B
�R6��x��Ot�D�jN
-b[9hŜ�9���
/:Ap)�+�N�Sa��
dpQ�T*�
-�{���x5g5�TA�m�ʮ�����
��]XS�:�ޭ�(�	\�>W
-����@i�j�xߍ9ꌘMƦL]
7��B�����ؿT8�ݕ Gv
��O��o?)����
�
�
�d�.|���2���P�U�aM��1|ӝm�l�:
(���"���6j����=
��r��Shp����Ϗ(����E�]�
v~��'�p"�T
 ?�u�`�l+��P^endstream
+2044 0 obj <<
+/Length 2962      
+/Filter /FlateDecode
+>>
+stream
+x��[Is���W�\> eM��%�.�XU�Ŋ�rőt�0TR&@Q�!�=��6=3=�@$-U��Yz^�~��z��G�>�n�qJ�^�f�2µ�j	�p�����_
6_����?~�L��	!	WvF���0�G�p�〧�FH5g��K7���U�F�{E
#���
��D�YÈq�b��
1
h�1�T�a�P+��Wf�Ĉr&XY�#��<�LCT�#��<�Қ`96�����Im��0�xR��
ɬ�
+7�p�vs�w.�&�J
�!&'\
R�$J�	�sDg:����I�GX`��]�b�Z��%#����
+���T����⩞����
?�[�	��-��?��;��8�2�n��r���C�֬�#�Y`X)��f�DN���d2����n���'ѽ�<��kd��nÅ
����֏�q�K�h
��g
�癭��9�ؚ������L����SFF.�P��� s)t)d��|�
��B0���)�[����m�&>��W�8\Eù$�ˎ��*V����F��z��.�`w],�&.�=��,��r��4��ȋve��
m�f�	�Wք��/�$��H�B��A�	�y������"y���@g���A�[� �hToY
X���H�ko �R;�	J
o�ĢFX�'�Il�{��c�ѻ��*y�:<S:����6��H8��'	lJs8�
��Ɵ�K�p��U����
+&!�z�����/h,�h�VuC���h;N_Q&#'��Y���@B�z�O��u$�L���|�f!S<t�(�Nw�è LS�/�m��ɇ`(�A9����K}���dJ�LC`C��~
ʀ�7#�tl��2����	܍������k�x���3P�SWkO�5{���8Ӧ2',�Y]N�G&��L��$K�H��T`�»��[̨��i��Z��C8�W˕i��͈B1*k�)T?�B�'Ph/��VlOe��j
��
8#�}X�� �����!��

+5y,�B�괨Dޛr��Z�x$hn���g��0�32u@��}�E �9C����UL�W�`��CiO��XL����G?�8B�Ogl�-��3%a�N�G�
�|MggGt���ccgwpL	�>b�(���?�<����2�&k
+j��O���La[I���F�韟�L����Mh�V�rr��+���	9�]T�t�
f,4�x��u���p��2"�>�
%���R�y�kG��/SNY��>�c ����6��30	�R�h ��s����l4���kL��"�"��N7��c�,B�y�Rn� P�v6s�8	����9ed`���3�9
<~oh��I��!k
+j>4��b�)q"���a��D3�W9M��������.~ˉ�-��f� ��� 2f��`j�Xܔ��"�<w�p 'l�S����H+�[٠�
&h8Q"(�N�X���a	ND�¦�ԅ��#+L�u� X�y#�xZ+۱��
+�F(����]n��:`u�/�T��]�Icc}������{��P�	�
I��J��7�jã%~�6ՅN�_ֶH�1�.A6I�z���H��_�D>�m���r�N2^�u��L��u3e/
[��
*���6
+7����BG�{�|�H��F(	i
P@��qf���f�Z�Z@<e�
� �
L����
&l�oєIێ�UȮ�cs+���<��g}f�!��N�U1�y ���lo���� ro�i���%�pk���M;�3�N,�<m�
�](0g�M���(��
�x�uFi�f��ܫ�
+`���/
�����HU�ɕ�&RM�s	���=K��p�v�`���ܩw�m�Z�j|=͂�ݼ�l�`l����lj��	 ���8�$l���"�mi�^;��T�߶p�
Z����p?���t�m�}�l%��ޒ@�Ҥ�0o�(�hsxؓ��h�]%����<U`Mv�� m��rJ B8�&g{\>��-���hRDk
�٦��q���9�
���
�?]�m�Lߣ�Wp�#��B.
iv�U�<���%��|m�.<T��P%[�8�������ρ;\
��Ŷ@��T�cu5��1��E'���X]�왪�h�( �R; ��o4������+5 �N�����vF#pۉ�a� 9�_yo�
�5�bOSb�nb磀�M�� �ŧ�r'`����s쾚Κy��p(/�V��h�fm;F�29��{XL�jm��u
ZHyy}z�^1�7V�Yk׵|#�o��A
R�{���R��8�#R����~�.� ��Ė��x
��
��	H]~A� �N�nT [...]
+�@��tH?�M �oo��
�_N��QC=�c��^`��Ķ�T�1���U$�}Mɉ�?�����0�4��.*��0���
��������6
 ���W3��KVZ2��
��׭�����kOw��н�z��
���(_�����y2 '	fU�*��ߎ��N��t�b�=�
Z�4�����	�����V�����,Ū��.��:R<����O��WEev
)&���%rV��8C#�;T�X+
+'{5&`𮾄
+����j(�Ÿ�e`��Ą��
��E��
+N50�Ŏ��$��Q
V�>PP���
+��sx�� ��$dz!�')�D�ޑ�-
�՘�䏦|�]�$[c��S>��-�[����Ⲷ���gC���(��
+
+�ܳ�o��8�~Fu^ټ/ˌQ��-D'\�83���=�8�x��ES�����������
��F���Z���ZM�FA����0|���
88��!Aъ2��x�OE
�L��z.+���'y~�Z�P9���=@�X
+�_�l�d�v��C�
 ������e�
M*HN����� 4��g�
���M��l���j̛�endstream
 endobj
-2124 0 obj <<
+2043 0 obj <<
 /Type /Page
-/Contents 2125 0 R
-/Resources 2123 0 R
+/Contents 2044 0 R
+/Resources 2042 0 R
 /MediaBox [0 0 612 792]
-/Parent 2102 0 R
+/Parent 2047 0 R
 >> endobj
-2126 0 obj <<
-/D [2124 0 R /XYZ 72 720 null]
+2045 0 obj <<
+/D [2043 0 R /XYZ 72 720 null]
 >> endobj
-2127 0 obj <<
-/D [2124 0 R /XYZ 72 700.324 null]
+2046 0 obj <<
+/D [2043 0 R /XYZ 72 171.798 null]
 >> endobj
-2123 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F32 668 0 R /F29 672 0 R /F48 554 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F35 1440 0 R >>
+2042 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F69 550 0 R /F35 663 0 R /F126 638 0 R /F149 920 0 R /F72 1166 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2130 0 obj <<
-/Length 2295      
+2050 0 obj <<
+/Length 1847      
 /Filter /FlateDecode
 >>
 stream
-x��YKs���Wh2]P�+����"3��fқi�t��,(�����);���o�98 EʠE;�"��@�<��
����ﭛ
-�2��7�˘6S�
�)L�~J>J�g?�|��{i:
��r=�~�ͦ�%��D���l
�f�'���8Iy8V�M�d�l6]�aI�=�2�Ұ�#��֤njYfq���t�eʯ���Q��&߯"�I�l����Ę���l��Mn���tI����Q�ex�4,����+�5b�L�;}�*���V�{�ogsa,��yD�4e�5.�=Op&U�NofQ�v͗t�_�ng \�kξ�D�Sa����K�
���-���T�����.^nv����5�xC�_l3��C�^�?l�c�L�LJ��
�k�1���
��q^a�g�j��������|_��aM��o���t��	���� "��3x�����,;�0�᪬�c�8�
�i{V-�Q���ї�l$
S��W�:O�;�c�Hf�h�
8/
�z vɀ�$�3�&9ڦ��ˢb���
��P�0 �?w����T
����T���p
�vӹe2K��������5T\��+�#�k�(���̕
�׍�)�er��j& 8ϒ�A���|��?ű
-��-�4��n���t7�%
����Mi��3�e�ܓ��(l�HCw�`���%�S1U�*�6P!~���/��~��ՄO���i g
��o7tֆ�v���ڽ��f��n_#�YH�۩֖i!Ξx��C:&Cq��
�"�(�O�����*
6��U:���t{]�فT�Ո�}�{٥f\���*
��߼%
���)��
-�غߒ
b��A�
��S]�ɠ4���o�
�ݞI�N��g2
)�$�X�G%ó:7��T�7M�K���bH�LX�<�T�6�y,��nZ�UD$
�p�Ą�E�l;^ �
}�s�,݄�
-�v�y�)M��G��E
NS��^����-��:�v&�@maѷ9B����s��
�!��
,%�K$ž��FC�W
�MɈ\r����QV4�n�ŒH��@1�\-8ކ��<��ɣ�i�%�R,�ba[RL�*��i[�@d���B�p�ފVP�:��uWAW�^<4�!�vL��5�ȩXT����1���B
83�����1� �7N�������]��<Yb4lz�T'��Q���-xBa������g�3H �	
ɸ8w4"�5Zt, m�����D��m��l
8Lt{�)�L�?�������
m��ݲ'$�
�#�D�{?�+�����䟳
��-L��X�����_��s=l�j�%
��X�k3����bl�[.�
,E{��K�1_r�Q�����O[z��d켢�aOs �����t�ư�7�~�}Y<��������	�*��,S�����;�rM~�m'�<����_�/�~�y6�"M>1���џ`0�G���,^a���t
-G�kіC
����W���3"���}F?�O������R��Re��Z���Ux�3��%ߔ����Y8a�͟���=�Н(|޹
�q����]
T
t��ZW�2�]�F�/h at e
-�{��W<�6_l�/>D��j��f:�0	
��
ZOyz*?�Y�m�>
x���md��2�2�=�",}��O��(wG�\1מ��h҄�c
��)�h�����M� �$�K����B��)�ɇ
-ʺ7ԑ�=��M'�1|	)
�؀2>�r��xD]�e�	���%�3�몦�p{㟇���#&C
�=���aN����1�Ǘb��X�r�}]]�:��fLٴg`�.�\��;�
T'`�h�G{
-�1���pe�h�zs�q��jj �m���1َ�?!����Ɂ=ds��0oy�9k��I�-v��W�n�_�:�!�`�bBNq����U�(Y�פ��P������q���CC
=�x��
J��X���ډ���~��ZDHKؔ�̎�����'Q_���4R�D�'��������_3Ӽr�d8� � ���g���
��*�8��d�YL� *�����$
<�`Y�����"�)
�RYϐ���(����<�b6O�nA
��H�u�'��zJ<��-�L��H`
-�
���F	��V���`�j�*@���y�
�Xm!&;@��2��( ���U��(����܏��.�
K�hA$b�Ai��6n�m>����B���	�y
N,'*Fm��|38��xU�����AĵZ����B���fP�
w>/Fyv4So����"��!N��m���6鵨�� (Ҽ]Ez
&M�.
��5E[��B��\q�%>{endstream
+x��YKs�6��W�Ѓ4S"x�@:=�3ɡ�N�=�=��ȍ%G�
���] 
AJ��6=p�
����[�Nj7o?0i&����b5ц�rRQM���ߦ�����?���ӁpWQ5�ṅ���݌M�p��
+���
n?�U�Ɍ��lE��
g��F��'��p]�uI�?,��,�a
��=���{'��t5+���ԋ�� � 5D"A-�*��%�8�[���k��o�vn�=���	�۹l���P
&��
�51��\I��毜�U,Pjk�^֔
���7(D��ʚA\�ݬ�B$ ���>w�«�W��*Y;m�N�h������
+��/)+�8N����$!Y����H^
i���=^V�%����B\�!+���Za�,��
+��x�28N����2�uI)�ǐ�h�c���-�����Գ�
6k��hBw�. ���8?�����	M*fN��uX�l�%�CɈ��qPG�ƈ3p�bQ�ۈ���VȘ��+5�A�'? �ZAnp"����pCn2kH"4<�1�	2+Q�Y��o�V�;�`�(u���b at z�,��[�
D)"��:�S�ɪ9xL&N��K I0o�L�UD9Z
+��p��W�uظn���$+�a��'M	+�3TAv?��4�����_��|W�P��	q�
��D
+�r
����%
+5�����r!��:��3&�T��q�|��s�
�8�n�
K�
UŢ=`�R�O�j�\�h
���<�:�Hwwe�j�K�c;{�hXD�����G_�B11���\��_������j�q�`�N�U�j�\���(�C�u��Z�6	����#�
Pf��?ؕPA�(��Jġ~
+���S)u̷W-��������C��݆]�L��.��k�=_���M�W[�o���h�l��
w��}�w��r�����O`���>d��,
���{a�O
+ �UB �,�k�'[�p�b
��2K@���uk���#lQ�S{�l��{,��`GF���A������G��a6�
�+i=_���<�U�u at E���s��f^V
+hF乙�f�çOU�$�5&��S'vW���#�"�l^t���{���u6���)���q��
Oeu
��R�ck�,.��%�w�S��P�PBY'A�1!���Nz��#�p��)d_Q�u��v��c/
л�̷MB(�Vq`��@�H�x��#Vs�����Ъ�m��H�
U��d���a� �����3z�
+�嬥n�rT�W!J�abW6p��L��Kč��G)¦ߵ�'���jxSgґ�]�M�p�[ԍ�6B]J�!��N��{�v�Y��a��VD�ck�g���9�C�D���t���*�0�$v8����6
��vǾ�K��Ub�uҙ�ֱsЅ���9�t����d�NY ��-�!Oa��+��t�4m�3�E��G���	� Ɯz���7�a?PU�Q
#��
�?�
_�2�� �j�q���/�r�r#\�c#�
�y����?;��
�o�t�u��\�u8�	='OOy�s�Wd�)ث��
z�;A�١�g&����h>	O
��_�XXx�W��|,Ç~���'��㾳��=��-��Ž2b$��"���
+�Kq��
�Ms��!����t��
��
�F2}܁4�͂��?��.#H
�����b$�
�x|���y����Yȅ��s=:�>����ϓ
����#�G��!Nm�/����0�$c�#c��z���V�+��]�#��ue�,�XuN�&�f��6�W�6�
��5�ax`�Ϡ\5���ܪ��e���:��x f;bfn�H s�`mWo��O�0�c�Qk7�k�z.J8�
VB�p�3w�ʦƎx�����S3;�endstream
 endobj
-2129 0 obj <<
+2049 0 obj <<
 /Type /Page
-/Contents 2130 0 R
-/Resources 2128 0 R
+/Contents 2050 0 R
+/Resources 2048 0 R
 /MediaBox [0 0 612 792]
-/Parent 2102 0 R
->> endobj
-2131 0 obj <<
-/D [2129 0 R /XYZ 72 720 null]
+/Parent 2047 0 R
 >> endobj
-2132 0 obj <<
-/D [2129 0 R /XYZ 72 410.22 null]
+2051 0 obj <<
+/D [2049 0 R /XYZ 72 720 null]
 >> endobj
-2128 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F48 554 0 R /F32 668 0 R /F35 1440 0 R /F51 1171 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
+2048 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2135 0 obj <<
-/Length 2402      
+2054 0 obj <<
+/Length 1083      
 /Filter /FlateDecode
 >>
 stream
-x��YK�۸��W�U��x� w+{
�v'���L�*�s�H�
c�����d�����1<��*��� �l4��u7����7�3�PJi�����
-kN�BZ���3�e����y��L���
I��T�~?ew��:�[#df=�˕u2)�+cM�/���?�M�m��.�U���5S
7���~_���^7۶ۗ01�-�6<�n�9}wX��-R�C��m�|agj�B�+/���o+5����BhN�A*�4�Z8Q8�pB;��˜���x7)��,V�ZX��#�+DZ���W��l6T.�x�
w/�
���Q�-*R���h��0���h^EYi@����
X�+�D;�s"7Geꌉl>;�� ��0D%c^'�1�#���^��y����Wv�/�ɘ/v�D�ڧvO0�l��'huOmvr,
�����*�����<�dN(�$X(�	1��xzS�CW_�>�p46��H
_��v���TdE�CThg.u�R��]�\[P���Q��� }7
��^R�\=Ԋ�xqP����)��Ӏv���x8a&���v��<@�2|��
°�2~��)Tg +���U9��k��
��soh �I�䆊u�OϥH�h|�Ξ'ƞ�
����11��jWE�L0n
ѝ��H脐%.�@d*c(�f(�U.�4���
�*;��3b^�4FҰ}�
�
%�ӏ왊܅=W�
sB�8��x~p{�GF
��0 [l-��x
X��g������V�a�k��)���;��Im<

-�
-��0��'c�6Z�";�M
-�
��SA��<�)��0 χ'[�iH���a6�������g8�}���W�ߕ �4ڶc�Ĥ A�$�g��
Wl9EgS�dX�ǒ
�Hh��1�� b�ܬo�����#�$S������S�X"���BG�б�g:2����O��Z��Z�"�~�*
->*�'�
�ν�3
|�}U6=�&���2M!:jt�f]���N5`^~�tѪ[B�ɐ�����.�S�b.2c�.�4���6{N�(|��3�U��
-Р ɥ��b���� ������x�BQcC:�P�S��,�

�	YcW%��B���!������Cd7g at i!�z�9o�� ���y��B��u��/�^"�����CG�����H^D�c�R���15u�@U3ZU
b35)�ZReXB�����GUH!�;ɏ%r+
�l7I��fS}���t�儅���۸�]j�gG'��<��9�n2V��
R�^��qce�!�~�Y	���z���ê�꫎c�
�6`H�drwC�@�U�!/?k3�$P�^�l�}�

 CU�*E�
?	q�bƸ�Vc_5d�)�,�O�&��Rw�;��ᖇT���gWus]5�{Ͻ�
M9�sr�P��I�C}�'�v��X�J�|�`��uϣ=
TgɆ>ځ^�5����D�c��ª'�Ht@���t��C�Y����/74 at aJ�F%�A�j㥼��W�w���P�k�9G�
Zs�.6
�{}���8ɽ��ݎk�R{j*��
�b�
P����e
(2<η���k1#�ٌ����>�
-��f�!~a�	𼺍_�
@���>�B
����QQ 8��0]}�
�]
ٯ��v���	�FȤ��5���
(��	d���$�j�G�ޛ~��Ѐ2����A����uݐ0t���k <����q�~3F�i*�ʱ���O�5
��#5`�C���2&�Ȃ��\2���%����5D�'E
���[��A�Pal�fMɘ0
A���
�����J.�.P���t����w�U.��=T 8~�l���[���t���2LYPI#���:�n�\r!��2�
ߞ���[^�LY2�
�8��%Id���;���=<��#�BBg��w�
-�D��� a?��g�/�pLz�s�~�Xrj��Xx�Xy��ɝ\=�T���ݟ
�)hj�B
�.���
>������.T��m��g��.��k7��Z����S�2��ϰGy]Œ%T���Zh�i% Mv�)r_LTS��@�
��
D�5��i�9H��W�U<CvR̚
-83���~z������=����"��7��3d�}ա� �~��c�@��ܣb��y9x�9�
-
-�\�t�ꀌN�}�ou�tn~��~]��ߴ���W������q�>���G
�j4Ġ���
�^����
c�_=��*>��?LHn�..S�`Eݼ(D�B�Fo�gS���4�i
��Ъ`��סU�!���x\0��u	z��
L�_68@��E�y	���
1�i��������P�_N�l���
�eۡM��A�-���䌾��S���$`���G
Y ���Ra�g�
�ۓM�j�3�&�0q���c��D1%Ujƀ������}�5_L��ծ��g˅��u!��Uݘ`��}ܫ?^���c�endstream
+x�}VKs�6��Whzg,� 	R�-�$i{���vڦ��,�iJ%)�Ig�۳�X d�� ���o��닫�J�
�da�b�]�z��+�0��!^FJ�uQ�������q��~��\��z��	F�Xj-��	b��:Z&&��E���Q�>O`
r-�?���Fl�d���
�6Z��`���U��U��6�K�s����\���Gg���z%>YU:"?���[��ZFK��OS�2cT����" �S�Lӌ�{�-�:�hAC[��kׅԙ�s��r��2Z�i.�����$n���r�Ε2�>�&�e
-�@�i�K�J��*Ia�⠵變z˞-�32YW>��,Q�R�Siٴ�5[�&:�kOD�\�}�<8�%|��Q�R=	�4�E���y7�c3�M�X��:�o	:��ۦ{8� *Nd�S���.K
OF e�?А0
K:�R�̒d�η�if����"($��E��|�u�9R
�6Xq�Ʈ
j
�(�vv`�ݔ�����t������u�K�2|v�և/1�fs��ܡ0�/� ��������8
�f���{. �|�Vڱ�%W�Py�-fm��6>��#[�
+�26-M:�&P"��g�d{[�	$hk��
��,^C��v:��K`����1��O��tB�����%Z�LY���
�U�غc�'�hb�fbH�U$��/��d
�34��+��
�;�:��6Jܐ���h��)��iQ:��E"
R/)�!��j��<
����a
J����U-^�}h˦��'i�	�vl�rd��t���+�ji0�d2�?���e
+���<���ć~BKU�!�tV��;ˢ)�mP�$��00�w���t
�
��Hj�q��K��Ÿa����g|Hr��<�v?�;�.�L}ʒK�a7a <��Ƃ
G>��9
�x��/t��Y[�c�o���3JC=ZY�Dw�;z�y4��K������N��g

�m�u�r�5t�֛p�����j�x�Q�8|t��[��i�
�&�U���2���\����GK7�byEW�k���v�v��^��WG���Z�8u�F��)��c�x���
+�endstream
 endobj
-2134 0 obj <<
+2053 0 obj <<
 /Type /Page
-/Contents 2135 0 R
-/Resources 2133 0 R
+/Contents 2054 0 R
+/Resources 2052 0 R
 /MediaBox [0 0 612 792]
-/Parent 2138 0 R
+/Parent 2047 0 R
+/Annots [ 2057 0 R ]
 >> endobj
-2136 0 obj <<
-/D [2134 0 R /XYZ 72 720 null]
+2057 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [283.063 583.771 477.677 597.605]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
 >> endobj
-2137 0 obj <<
-/D [2134 0 R /XYZ 72 427.555 null]
+2055 0 obj <<
+/D [2053 0 R /XYZ 72 720 null]
 >> endobj
-2133 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F78 924 0 R /F32 668 0 R /F79 926 0 R /F86 1221 0 R /F76 747 0 R >>
+2056 0 obj <<
+/D [2053 0 R /XYZ 72 700.334 null]
+>> endobj
+2052 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2141 0 obj <<
-/Length 1876      
+2060 0 obj <<
+/Length 2383      
 /Filter /FlateDecode
 >>
 stream
-xڭXYo�F~ϯ�D����4���)�pT�h��ZYDR�a�y�o�\�b:1Ҽ�����9������'�^�B�����z��E�D���h�ܥ��`����g/Cg$�k;���Cb&C�
�9���D)�*_���r8��n1˕�*xI�']je�4ٳțv�
-e��'V/p��ߵ7
o:O���Xɩ+Wٱ���}	�i
�C�zUl{+L��
�7%<��1$�[[X-+v͍G��ڳ�rŷ
���HB�@}p
wF����\Ul�}��X[���Ԣ-X(p�'���
��
�nę�5�Y�!�8
�o�.���bF#�
u.�e��8=+�!dw�D�j�"S���זIR���m��[yU��
��LN��Ί
�'}����
µb�k(^��[9�lx+lR��S�y&4x��C(Vʳ=/ O2H}%9W
ʾGc�F^z ���(�����sbw�d9��@��f'�e}{�JXK�^�n���o���&!�s�I/N@P��wck�
��L�T,
�h�TX�amќ�M ���H1x^dU�۩�t�X9TLp��x��Hu���e�e1�â� ؼ��4D۵�����XF�����)���CWC��8�؁����u�燽�
;�`�ɶ��`����z�L]=�]Q���
V�W�ڛ�n�ճj��#�*�0�����C���#D��0�ŰXl�A�5�!�v�zEֳ%Γ~|��Á��S�e5:
��bC��a=���̪��v�,\S9�l�og��2[	U��j7��� �"�N��@���|�>�l2
�������p7��]@	h@�!�ʳ>�hi���G�H�շ>a	b3��j=W���{
���9�}k����^`Ns���_~\:��A����
��T7�	4�'��f�|
?�O&��H�kc��G���Ox�]�����b膊3၈�w�"�`���9%�LJY㡨�H�TAȩ�.d|��������ܩ��N�r�
��.[�S�E$�*m#wh�Dh��F\��`
�¾
���^���:�Ɍ���V���;���~Ut8hk��f�"{����kz��iO[T�mn� ��Z&��JY�<��2@
L���q�s!R.x��+�c*b�e!J�
!�u��l�����Ė��b�U
���
-v%n��r��|ʭ�J���;�Q�5�3���L��r�2c���Y&K��mZ��w��ƞ��J w
$>~48/��a�Q�����{�jSu���x
>��3|��Ѵ!haZ�v��e��T8��0��e�<����^A��
-/�x2^��k��q?��x�=< �V}�@x��U"�J�Xl����6z4n�7��
k��!Şv���}���L��#
-�*cڊ�8
��aQ��*#V
�IJܥ��?"
\x2L�}p�GK���qX!uzB�b��\�ڎܡ
Ɉ
F
\gA0��1�),~+�s^lbc�+ at . ����)�s���
�)}�IL�bNc?p���r��Q}؂��	'��B���z�&a�j�k
=�Bb�y9e?ߖ��̃ӢI�~�j"�$�P}Uu�`� �T�1m�C�3l�
�c�#
M@���!,
q�~�*���s�kf�H���L��sFr��T&�WB���ݜ�qAge�
�
�[�ܵn�l��4]���n����bz���#��j��z���dZ<ڠ������NOٙZRî
��o�N�%!�,A�n�5�.2���h@�(X�n�>����`�.�,��r`�=���}q�߳��ޠR��d��ns����ĭ#�-e�
��(7�cJ�' �`�i\N�݀��2_�0Ί器j��x+��#a�0�����M�*|wr>P�r�b,�W��{I� ������ H�(~e [...]
+x��]s���~�'O��
� Ӧ7I���C�q;���A�i˭,��
�}���]`A ��k.y�I ���~aw�w�o~�)��4duv~}f�̔V�GW�(�B�?�?����u_)ajuV:�
�����v���-���3�TK�h�;�Y,�1�;��ӢVŊ1���a�E�XV�.��nx��ez�� iox�1�-��z�k
>�P�O
8���-��%�SZ��w
���z���y���n�TFߵ���T�W햠�~�o�F�t���9�@s&�\夳d�.�P7���vx|�����Ҡ�E/��������-99E�u���2|H䥸����%�k��e֋�/�
u�����l���
�"��Ėy%�/�|
ԭ�y�ȷ��[B��xFNȣx�ΖR
�k'ʏeUz�+H��EU�����7�1�b�i ��C�w��04�a~�X�ڌ`� JU��`��J�!��-Z�6��+zWœ�x�t�C� g?w~��]��ֵq��Eo�]xu�׏���}�U���FA�]��U�>s|ذ����� [...]
+���9&�J�J�b��(+��Q�-�Q�Z�I9"<͜
�q��

f��n�`U��\j!��
�AO	S-�|Qc�T�/D3mzx�h����i�T��n�dw�>���
�k�yio�ܟn�ߌ�W�.�)��W�ā2Q�:
�`a*�{`����A^��<��[޿�qLV\f�d;���Oab��?����g�]>
�
#f�K��ms��n<����

+K~��ZV*7��������1z��B.�EU��3����#�Ͼ��������R�!���!���hx�Ň`=�	�l�u��9:�y��az�},Մ��M�0��Fx̪
�8bZ���pL;$��O��!F�
+i
�`�[���-R^$�9���vޛh�qo��B����>��H&|^U��@��⢧���pʔ/\/�7�~,�j2�9�E�vy�Q0�O.`�:^�ĖHoZHMI!+��?�8
+ʣ���I&������{�	���r�&�c7�;|]F�6�"nB@�S����w�Kz��LJ8��?�
g��3������SZ�I6�n8��q�Y�{`K�eX�
�{�
+/<�|�BY��4���t��"��[z�X�*Cr�M�
�ys|��^P������;�|��W��@����$R�l(3d��S)<��3�&��K��ldď����a��Maˢ�����8sJ[M�)�#7M�qg�㏦����t�!�}h~��e

�C������Pw~�Ӻ�>ݣ��=�����Än�9�iro�m���GB"�4�e~	���֜�̜b��ü
�F�*��d��$:�I�����҅��K�?)���"����P�'65�4�[E��R?&i�%��y
M�(�Bw��|�
���Cy�zi
[/��Y�_�<" ��ʼ!��/v�f��
�����'!�+�h��
+ݷ
+&4hE���rJE�Y%�چTo���t��6�	�U�4m��+4��DA���[�1�^�!	8Ȇq�:(�V
���� |�0܈M7� �u��jD��H��@hU��S�?G� jk^Ef�P�H�b=�k��a�*��=% �҃����Tyҷ4�F(�{ӊ1������>]1ꕦ $���h2)Ӱ[��4N#{E��K.+@�n��y{�
�}�/
"Ԟ�X�ȡ��h��&�jG���ͩ�`�[�A�,�ՍP�V�m�
�v����q�k�n����ϭ%���3>�ng)�P�>!E+��cm�0$��:Q�\&	Z �K���)��#ԇ4��?B����X��du�l��
�0	K$ЍJ5�2�� ���|_�	0� ���+�S���M˽
�QZ�ED�X�'������	��z4��" �z#U�T �
+Q1\�I�=��Ң�M!�A����!�ƹ� G�[�\��KǓ���<�m鑓T����Nb��dϖj!Af�G��oW�u����o�4=Z����?��ş����֙��'��
�|v߰��]���o���{hH,%�4�գ�6��s�����Y;�(��%_Y��(�p�}��v�"�-���r�\
�@�:ۘ?i�ɮL�ݛ�����
�52:�
ZeA�獠/��<|#��ܷ�
�W	D�ݧX{N�ݗA�}�3�P��&���
K���M���˲o�t;�>`���
�_���LU��D��7��͂���
+�!&�0K
��$�t�e��<B��������,�x�������endstream
 endobj
-2140 0 obj <<
+2059 0 obj <<
 /Type /Page
-/Contents 2141 0 R
-/Resources 2139 0 R
+/Contents 2060 0 R
+/Resources 2058 0 R
 /MediaBox [0 0 612 792]
-/Parent 2138 0 R
->> endobj
-2142 0 obj <<
-/D [2140 0 R /XYZ 72 720 null]
->> endobj
-350 0 obj <<
-/D [2140 0 R /XYZ 72 720 null]
+/Parent 2047 0 R
 >> endobj
-2143 0 obj <<
-/D [2140 0 R /XYZ 72 560.839 null]
+2061 0 obj <<
+/D [2059 0 R /XYZ 72 720 null]
 >> endobj
-2144 0 obj <<
-/D [2140 0 R /XYZ 72 449.714 null]
+338 0 obj <<
+/D [2059 0 R /XYZ 72 720 null]
 >> endobj
-2145 0 obj <<
-/D [2140 0 R /XYZ 72 304.218 null]
+2062 0 obj <<
+/D [2059 0 R /XYZ 72 517.554 null]
 >> endobj
-2146 0 obj <<
-/D [2140 0 R /XYZ 72 309.199 null]
+2063 0 obj <<
+/D [2059 0 R /XYZ 72 392.015 null]
 >> endobj
-2139 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F29 672 0 R /F32 668 0 R /F26 548 0 R /F86 1221 0 R /F78 924 0 R >>
+2058 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F69 550 0 R /F72 1166 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2149 0 obj <<
-/Length 799       
+2067 0 obj <<
+/Length 995       
 /Filter /FlateDecode
 >>
 stream
-x�ݕKo�0���QO�ڤyoQ$�Z$ ��z�
�Ļk)/%N�����M�v)	�%��y|���-�ήf��<I���
-��
�Ě���Ǡ*��o
7	b{�9��
R�^��E1�{�����O|�o���@8_ή�t�Ʒ�p�Es��KQ1�
7
-S{ٱ\
-4P����(/�X�[?�x�kFR�e�゘
V*媣ZmC�
��C��r��ej�&#_��"7vZ�a
���W*�	�I.�U���
�0��p�<T�V�+M
�B
AS�R�Y���e֐ �
��0 5L[�V v��"8����
�5A��ʦ�� ���4
� 7�A�ƀB�q�ln_nXՖ|�"WU��;Ib����\�
��w`ێ�?�����W
-`�K��2!�?�S��-��Bq��3���Lb\Tm�T�0�^��{ʮ���n�n��u�AԖ��ˢd܍Oa�~�l��Ka�\#`�5p��<��Q
��1n\%N���؛�

�Ƥ8.�z�‚���iz�����h�'�[g�)R>�I�3/���I�k"��t�1��D�H�P�O��c^���Nt��
-��
EA�82K�L�`-�4��?^A0h�D����9�$�*�s��v�3�ҍ��xO�E�߱]U?�-��PFv�q��r�����؜O����d�
�L
��-w��
�J�?�J��,����!)uk�6����Z-��0
�dC�m��������V��s;���_�M���"V�_{���{���Q�sC��x�?O�x��yb
-�F^���b���
W].���u��endstream
+xڵWKs�0��W0=�I�X��P���3��ʭ遀��XNB{�o�v��ec�/= �v��>>튫���
cb�X"�|2���|R�U�
+��]�,��ϣ��6�K����׋.+&������%Z2��LcQ��
+ ��|-���롚. �LNb&�-�7#|"�% �Qc
Wh�xK�6���m
�ٚ�t�d�C{��b�U��3+� ���+�J���4�y�s�E�i�B���$X���Z5��h�d�
A�`.��3Y3+�d
�VKQ2���
���e�/Ze ����[P ���a��k��ʸtޕh4
%.I5y��ޔ
+�!
+L�9T�I��
�F�P���
�#ԧ p@~�F�#M 2�X�C�-��oæ<�~�ϩr�0BC(shZ��%EU
�?Q�#��2�eF�G��)`<���)/��ॺMY���c�о�:�ҽ��5�c�
ފ���v�t^8
Q�^�y�[�ޝ�
+F�$�+bfړ,:ܘ�A�ۂ�Y�Ӿ��
���Νڝ��0��6HU�Xm!����(U-��U�.Q�F��
$e`ow�
+.O�9am(�d�N��Y��;9{x��Xäq�Mr
 O�;�	�t�ji�=�0,Xq�Ai�\��=�<$xع�p�vN4Ս�񴻵���S
F�¸�=;$��ϝ�-\Уg���
+h@�4��1�(�>ω<URI�!}�hT�
�"K1��*�	�
B֖dC�B�+Wt�e:،-9��.���D�W�	V��e
+�/Z5�1"�]��m[� \~�0����b�[�~F�F��$@�m�v/� *�`NA0�g�n�GM{c"/��
i�e�/�����
l�r�D�o\���&����������{���y�W ?��4�Y�vT���*�����8}�h/��}K
�
�Q�	Zi��B��R��G2��Q��]ʹE���Z����`��龓�CF�~��S�~� ��x
�mJ�����!pƓ���Y�~7����dn.D�䀹I!���5�`pv=;��',endstream
 endobj
-2148 0 obj <<
+2066 0 obj <<
 /Type /Page
-/Contents 2149 0 R
-/Resources 2147 0 R
+/Contents 2067 0 R
+/Resources 2065 0 R
 /MediaBox [0 0 612 792]
-/Parent 2138 0 R
+/Parent 2047 0 R
 >> endobj
-2150 0 obj <<
-/D [2148 0 R /XYZ 72 720 null]
+2068 0 obj <<
+/D [2066 0 R /XYZ 72 720 null]
 >> endobj
-2151 0 obj <<
-/D [2148 0 R /XYZ 72 577.866 null]
+2069 0 obj <<
+/D [2066 0 R /XYZ 72 698.015 null]
 >> endobj
-2147 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+2070 0 obj <<
+/D [2066 0 R /XYZ 72 702.996 null]
+>> endobj
+2065 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2154 0 obj <<
-/Length 3318      
+2073 0 obj <<
+/Length 803       
 /Filter /FlateDecode
 >>
 stream
-x��[K��6�ϯ�m�Z
���{���f�l%�I���Q�DŽ�x��� IP)�
=�O�h4��n �����km&�����zb��PK��W?O����M������o����.��9'
�Ǫ�w���(�Χ����z�^�f�N�W�w�L��O�b\-bK�P�3���ձ�
---w�7�ÌM��b��:����Z�[6%�h��[,;Ԣ�.X�(��Pg�
?�,�^mq|��f��q}���N�LX�4�J"���~=�|�����K��&�{�=�ޕ(���j�X��w��!�ߥ��PUi`�ѐ&ΩZ��f�D)>Є!�UM�q����,�pcc�/gs0��K����T?_�����'��F\�����tP�l��j����>#��ĈJ��PAZ�3AV3�
b��U�P��H

Ї ²I��
���GN_dd�p��%[�qG�׳�aY
q6!ә&�
�O
=8b`R���t=���#����Ί�8iM��o*|�;<nw�[����i¹h��5������o*w�Mw���/cj�Zi(gΌ�+�)���@0ٕ�~C�e�\m�=>��K*���U�s����(>��[����w|WDa���X��O�X���\Bm�tLv&Āg3�!���*��(�UJ��B
'[��R�VMx���C�S�õ
�+�x� ���xF��e�_E	�g�U��;ղ��,�X%��u&�A�`�7��͝�ʞ�#�G��=D��j�o�B�t��u�X
Vh6>��`B���a
��:��1
-�;_�\U�
-��Ee���s8�Sf�K���fzl"o���Px�(!�v�s�\��켂�*sz�͹��)
�:��\
-J ��ī��(ZM:kF
�4?S>�3\����C' m�*��4�M���?.~��N�.���
���=�2��M|�溾���_u[�y��W��@B ����ֆr�}��7X����=
��M��P�z��`	�+��(e!�	�:#ĵw7�[.
�����(�U 
X�X*���
-������5	ml.$�*�Q��?j�	¬�T��	e
�����~���۵���ǫ�i�0��1C\���;�MkA��Pꖠ'��M�>�-|H�iH`9Д�xR�����]+1�ˇ`\���݉\w�4C���2e.3Ķ��21V"�a��[
*|�����?;ABy����tG�@�����ZؽʆvH-�zҚ��j0�]�b�~X56�J ��~�M�!��Pxb�0���[fY&̵��)' ̾�W뻢���@8"5�
 ��1���E$���ğ��'�Hr�ܧ�H���4�6�4�5"%~8"�s�Ǜա�L��cAR�� $)C�c篘��"q�ԓ�k�8Icww����<Ij
H2ON��
�
0U���1����!?�!)��AHr�B�8�~(�׽���9F��HMk�$9��a]>o�$�7G�ϛ#�ϫ��O�#i
7l i�
k at j�p�I��Gop�t�O1��ղ�8'�
	������p�
ם��b�z^lRϋM�����S�Hl�l���?
�����8�#�~�����<�
C	�(H� 
O��RҞf
�)����֌��*3i�8�~��|
/�?t}P/���@����z�gi�F�r�Q��#果)ٓh�N��&��Tm�U/�4f=�
;�n���V0��/s�L7x�ZV̜���L��b}W�Ή�kn�h
7�P9�h�
�B'�YtG,=E�1>ʍLOr�3ݥ"��QP�Y\$�8��L���{x���w�v_�����
-o����/�����]</N�
�X�9�C����[�c�qmG�0(�i56��!�KH�iG����"�{A
-�O��]�d�
�
�^������X�5�3'#̳�D�%K�s
8�VHb�={Z
;�q^�kn"��xbߴ��ƒ7�ͬq�2T�*�b���M�"m�"!���<[>
D���������X�ͤ�Hw	\Ti��m2��
-��(ʚ�!�|�CXN��\Z�P_b�Rz�L�|��t� <|�.�����F5fx�Y��'E���@��<���ظ����Գ���
�x�b���ݦ3%�#�T�@��,Hsm�`���U���"���-5�����Y��]�����]�"��W�<��u��
�|� ���e��8�M=���D4.�9�yJ��UT��x�&����?�f�N�7
�m0���6��g[l�~�_*D?���e��&�OJ��� �,^S�
��u����+���-�
�J�����e�9fq�0Sf������0q>�a�I� s���BE�, a���+���SïO�����lD���t��H�e�[ -�0�6Ú� �u���H�����'�czۇ���,�=m��}R���ٝ��
`l�F>��V.�\����$�y��$�=!�F礌�pw�5WDr$��7��X� ��:Q(;��Sû:PnQ�Q��Z|_�i��c
?�5w���o��
�zh,�f‰�ct>�Y����An�[�s����49\"r�
�
�
!��n�{��>�yP���zz��1p�����O9v�r�	�22�
��e�.w��Bk����'
�*]25�Q
�Β{!�T������]��6�Г>��#�7�.1��Y�2H��i�{:pi���g�L j �i���&������6$��h(�C�($�n�u�Y_r\�nB�ޅ��U��%ٹ�V�'{�k-э����\ۺ����������,�ˏ����ˈ+J�mJ��~]k3D�Iz��x,s\��
�`*��f�`��������'�? Sc���Q
�G7LθH�g�l���}n;VAڗܩ��
ph�d�&ɮ�y�8꫾Ya
-S��BV]��_֟_+<�5x5
�>%�T��I�b�EK�O�+��I��}W-�����[������Y��?h[%+��lK�E�m���Sm�YO"N�4�}����mX��ܸF~�d����h�J�������;P:��_�2��E�模�'�
����g���
wƍcP���cx[�^
�������9�c	vB���#L���=vM��tU����׈e�	Z�
#��(������4Ձ*x���[�n���OAck��)h��OG����p�U;@S�����,�֍�4��U��N�t��X@��ܩ��(�jm��!�J	�e�����KSP�9�{
oIמ���/�7U{����-�
��"E���q�es��cp o�:X2�~D�0	
~Ư��_�4���
�ީ��W�Z�ZrU}&�5:�/
?��G
u��Ot�ƫ1`��EL#S������

endstream
+xڥUMo�0
��W=�جZ��a�ah
��E�]�
���4u'k�C�(�����:
��"�GJd$�#L*'B��d<�G�S�TɜJ����CK
�3FN���\n���������snc�N�VTpE��
'?������&��a=��>�:Y���Er�,Q:�o_��N�)���.h8��:�`7���΋�fh���O�:g�ZX���X���F.�ְ~��#��"�z���|O�?[�7��A۪I/��*y�X������%�
&vk�f���0�\�|C$#
~|΀�
�7ZAͬ�&J`�C�3��O�
+�����,!��a<�a/�j��
�\".׹� *
���妡�D���"�BQ�=9	C
#��
+����5��%��ʙ���
�\K#N�bڍ�k Q�yL���v��l��U��Y�
|S�Io�����~+P[��4��R��6�fm�p/GJ���������8����u
w����Y�/AS���74E�(3e�+T�%0fUF�sMNen��I��l�mlo�������.�#�q�9X��k}��7�
���n��kg��w��{��iO����������rQRaʘ�7+<�
+-v9yA���m�K��N~��f���<���qޢ����� �_�n�Q���+�}
Q�ܦ��M
���]~qع��iv�T�0�~�Eqh�9 at o�u5s6Nfӫ����=�1E�7�F�����k/��f���[EL-['H���<!��M�^���Ô�Q� Y�x���(��7�0SP�Ɋ�J�����a5g��E�L%endstream
 endobj
-2153 0 obj <<
+2072 0 obj <<
 /Type /Page
-/Contents 2154 0 R
-/Resources 2152 0 R
+/Contents 2073 0 R
+/Resources 2071 0 R
 /MediaBox [0 0 612 792]
-/Parent 2138 0 R
->> endobj
-2155 0 obj <<
-/D [2153 0 R /XYZ 72 720 null]
+/Parent 2047 0 R
 >> endobj
-2156 0 obj <<
-/D [2153 0 R /XYZ 72 700.324 null]
->> endobj
-2152 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F32 668 0 R /F29 672 0 R /F48 554 0 R /F51 1171 0 R /F35 1440 0 R /F55 2159 0 R /F86 1221 0 R /F78 924 0 R /F76 747 0 R /F54 1447 0 R >>
+2064 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/bprobit-BasicExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2076 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2162 0 obj <<
-/Length 2411      
-/Filter /FlateDecode
+/Font << /F1 2077 0 R /F2 2078 0 R /F3 2079 0 R >>
+/ExtGState <<
+>>>>
+/Length 2080 0 R
 >>
 stream
-xڭYmsܶ��_q��LyS�x!��3�&��m���4���@�Q
y&y����w_@�N�Yv�/: \,���.�������-�����녒Jhg^fBX���\7����@�Rz�ef!�$D�CV^�j���r��O�
�Lh�G�/�+�|�

����
^��
�j!sy<�9�
e����a��\�O�5�tY_��j�NGQW�vIQofӹȕ���Y�S�����`
�>:J��㵔rF�8b%�b��V	��b�ra��o����d2�*�-��6�0���
�ܔ��|r��>��E��8�9l*�a�����L%]���wȯ-�e_�
/��Vⶇ
-K�Y�x[e��*��#��+���N�J�	+i��D��.^$��;�:˦�݃�-��z:�[�m�v�+e�1���=b�i)Fg+�i���� �\�`=�0ԛr��v���q���+3*de��=V9:
-�h����t,
N4ddXkv%�
��eG~d
��
�'���K�\"��b�
�ݱR���X�)�賙�,ek�'(�U����f���GpLI�J?aB���
���d�Of���7p��!��I�ு
AU5�w�D.���7���T�H�4v�
6���p����uǫw��e�)g�ײ#�mˢf�M6���K�%i���3D6� ���p���@�K��ٛ��~��͙\�8T 
�����3��������V����kL�~1
� ;e1ܵ�Q�
-
�I
-��8@�r���^�R`�9s�$�Q0��&�\�֋
-��e7s����M�/oɞ�
��K�^�,�h�[���G2hnx�n�[
�z��k�B4/Z7�%�uG����
58�������n�t�J����9P��gڷ����v���2�	G^��A�w�vW�1��|�l�=/���B^����9��&(�| K�
-��a�¡M>`T�������
!��0�Oyߥ��0ք�4���
I����`ES��dU~

#/����w=A)�+����<�2l�O"��=�(Э�!����p2������h�=OF���$�u��Ӂ��-o�8
-�\U��\7���<c8(��ˆ&Z�R�
�9�� mWK�
e߅�f����0�tT3&[�> 8����S��e!xo�5z/G[�u
-n���L�q�n�4��9��k�Nn~�-�L�l!��@:���
��������
(_��9�%
P4)��M~)���y�����?*���c��^ �vpB���
���R�ls������|���� ��U�p���+�
y��ԇ5C�e�pr
�� S]	
�05��^�5s݆R��U��Q�<���@���
BX�Q��̆�6�p��j�,P��ąuyLL�������-�}KE��D�e<Icm�+���q�[�v�Q4,2���f�4w�Ѫ�o��_�[(8Tx5�V��9;�U�T[�F+g2�ڡ}��?'�?�{�(VD&u��kΈ��mə2t�u�u3atK�[_���*5�=�m��6
�c|�
�hf^O~���51��b
!��r�(+}&
Z
-����
B�
u��1�h�hh�{h����T� �T�X?�}[��IJ�|�q� ˇΥ�
9�}
-Y��~ݴSν_����
��71� �x�����QL�M��'&E�ٺ� ic]��M���HU�Rp���Q�u�b��[l��Ȫ���&�w�m��3�r���H^�>�c#C�E�s�A�<��J�Ré�����=�
�#�0~~f�+
ݤ�4��9�8d�UM�V5tϩ�� �:��������.T�����ƍ�X��
��PÁޗx�&l�J�-�����
-������e�W��t>U,s3����>�C�O!����A:)y�3�NS�
�5䇠
��SE�p-)
�g�7��c-"��ʢ�a
�rL���0s񭧊	����&>3�R��`�k�=��q�"��#
�0����>������0�D�+�l㗿	&�J�
�Z#ZK!;�z
�
-V��C��nׁ0�� �
�`EW���
7`o���F�P��9]��j�F��Rz��o�PB�&�̈́$@�fp�]�x�r�-S-l�~�% �z�%��#.��F(� �x�d�
j'7�K���@5@�m%�J&ߕ8!�^��҃7J~ը@�ö�ܚ9w��nm
@RP��7�����|KF�w��a�
��Wp*A��N��F���9�ɪ�Ω��ۆ+J0G�*�:�1�m��
v/���_]lWS�&?��g�����l��| am`���
���81I��:J
Q!S��P���|UAr�܆H1<�"���Խ
S����z��b�<�h�Ϸ���̈́�Ϧf,>N���|t̎\3��Yj�W���\lʈW�8��L\�C[V��g�m&���JZ|�����@�%endstream
-endobj
-2161 0 obj <<
-/Type /Page
-/Contents 2162 0 R
-/Resources 2160 0 R
-/MediaBox [0 0 612 792]
-/Parent 2138 0 R
->> endobj
-2163 0 obj <<
-/D [2161 0 R /XYZ 72 720 null]
->> endobj
-2164 0 obj <<
-/D [2161 0 R /XYZ 72 604.06 null]
->> endobj
-2165 0 obj <<
-/D [2161 0 R /XYZ 72 336.853 null]
->> endobj
-2160 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F32 668 0 R /F51 1171 0 R /F76 747 0 R /F48 554 0 R /F67 564 0 R /F70 642 0 R /F78 924 0 R /F79 926 0 R /F86 1221 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2168 0 obj <<
-/Length 2511      
-/Filter /FlateDecode
->>
-stream
-xڥYKs���P�S����J�݊S>y�v��
�!FC�C*����ߞ~ 
R��z��� ݍ�B�o7��z��+iD"ӫ���I�L��Xè�W$��������_�5�0U��ULd���j�.�Dj���z��Y��le�x��*u��űm70
`X����D?ػ�:���g�]�Y��[{X)�g4�Sb�ݢzW[��6���9�U�[e���M�Fe_#���:>U�]Iؑҩ����,����� ����k�?��dHU��v��z{80���+�~3PWf_�y�i��Q7��DIqʫS�BeY�V^���Iu�z�5��'{{Z0l�j��;B/��J-�����Z��r:��*�9Nc����џ��ay"�7���>)�F@����J'7��l/�3
(�#=v8Mj��
gąC��D�+&��X<�%ϸiV�rbqt�m�/��:�:_⊬=��D@���ᦋ��ζ.���O"��"�[g{`�Nv�遘��L�v^�;0�-�j[/1�;�7v"p� 4� [...]
-���{
-�
�`��A0�[�j����
�bb*�E�2��>c0�(dR���Y���aET!�By�k	E�\����V+��-����7+�@V
dQأ�^����C(�u{�ml{G�y~Ō��!c���]�By�0~'*z�ɓ��V�S�P������@�bY�&WfB� �^�k(
����K�Ѥ0���Գ��I:I���y�|�Ͳ�
-�ʃ"��� ��7�,
(��ʡ�P��
@�����xVIP��
-�/R�uS�� i�!1Rf�2�
-	k�SZ���T]!����s�׻:�RL���O N�$��n�Xy �E r���jF���mݖ��3H��`}|�9+�� ���W�4W3e!�j��U�~X�$�4܏Q�2�B9�RfJV2�����v\3��?�O
�48j����{�`�V܉ݡj/&�Fv�JQ�!ڂ��A��U�����X#��b�0VO�rq����E.�)��N�3p�g�'�D�Gq�
�Z��3;��jq)gřJ�%��D�4�B�3�p@�
��~�K&�a�� W��n��l�P�4�|6�m���+t5�O 
-2~[K��-
�^����

��!��e
C�
-�:��*�Z��"�����\����'�`^Y
}�`�ׂT*�)��hz�L$ͳ �T��u=@Y�w�c���W>x$�~&H�A
Yy�����k��R���P�*(\��2��
�*�/�fpK�#K�K��$��
�V>8]�%��=�[��*���~\��!M�
%V��߅Ox�EUU�ޕ0A�ı7��?��n���5�u�+Փ�%!~º����}�B��3�M�s@��R�y��6{x�A
�X[:CV6L�g�����Ξi��AhV$��!��o�y7__S�
���ڣ�/�O
-ן S�8r�D�kp�I�!%�d
-X'�a���J�ɩՓ�"�����I�
-���+�~���Y
��
-Me���k5rL�1�����;8��s>F���V �<HFo
�д�0z��)7p}U�O؞@�������[«���W��
��C
�
k6	�G�gX�#p�����Gh���E��౞
-B���P�9y�L�[��註a�Ǭ
�V�-u�f�Jdih.�Fj���Q"��d<�N��r������_H��Ȫ�fڬ9��}~ٜM)+���?�����#��x�l��|��3���;[A��Лa��X���R���{Ǜ��Ȱ�O�!�
V,�,O�V|����3
}o���BH
\�Q](�d���61���wBF/���v���0y�$
m
6��wU�]�@ې��(
-Ґ�{�H"�
��� �3N�o~�^�e�n�>��kJ��
(&�ƌ0������-�Gn|o��V�s��uݞ��7�
%����T��u/��ԏ�a�eBK/�y�
�qp�2z�x�X��k��,'J�z�:���uh���\�s|��
܅x���"p��іԘ5r�ᒡ�%C$X΢�7�J�e���DǢ�ޔܭ��0���N���mJ�
&�w��H@�M
3y�
�f2�x�Q}�2�O��I`9�ސG翱uO��OL0�S�
-Ox�Ʀ:Ad&��f76�є;Ʈ�����h]����r�4�}XA����j���g�c�B�~��ɵ����v\�|�i�ӎ�K^#S��o��ak4
|���̕�y��5P�̯/~�X9��er�|�ⱃ6/��4q
�j��;?\x���C˃]3�Yhf[���"��N
<�ye��.�zs��X~#�endstream
-endobj
-2167 0 obj <<
+q
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 136.14 418.91 Tm (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 211.92 299.40 Tm (Pr\(Y1 = 1\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 351.16 Tm (Pr\(Y2 = 1\)) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+77.01 329.24 m 67.09 330.06 l S
+53.04 332.59 m 52.26 332.88 l S
+67.09 330.06 m 64.16 330.59 l S
+0.23 w
+[] 0 d
+60.07 333.65 m 57.93 334.03 l S
+57.93 334.03 m 57.37 332.14 l S
+57.37 332.14 m 57.62 332.32 l S
+57.62 332.32 m 58.30 332.42 l S
+58.30 332.42 m 58.95 332.30 l S
+58.95 332.30 m 59.55 331.97 l S
+59.55 331.97 m 59.90 331.47 l S
+59.90 331.47 m 60.00 330.79 l S
+60.00 330.79 m 59.92 330.36 l S
+59.92 330.36 m 59.59 329.76 l S
+59.59 329.76 m 59.09 329.41 l S
+59.09 329.41 m 58.41 329.31 l S
+58.41 329.31 m 57.77 329.42 l S
+57.77 329.42 m 57.16 329.75 l S
+57.16 329.75 m 56.99 330.00 l S
+56.99 330.00 m 56.85 330.47 l S
+0.75 w
+[] 0 d
+52.26 381.33 m 53.55 382.93 l S
+53.55 382.93 m 59.85 386.28 l S
+59.85 386.28 m 67.09 389.36 l S
+67.09 389.36 m 69.54 389.64 l S
+81.92 391.23 m 96.76 392.36 l S
+96.76 392.36 m 111.59 390.49 l S
+111.59 390.49 m 118.01 389.64 l S
+118.01 389.64 m 126.42 388.53 l S
+126.42 388.53 m 132.58 386.28 l S
+132.58 386.28 m 136.52 382.93 l S
+136.52 382.93 m 140.84 379.57 l S
+140.84 379.57 m 141.26 379.44 l S
+141.26 379.44 m 154.16 376.22 l S
+154.16 376.22 m 156.09 375.54 l S
+156.09 375.54 m 169.42 372.86 l S
+169.42 372.86 m 170.92 372.38 l S
+170.92 372.38 m 185.76 372.01 l S
+185.76 372.01 m 191.49 369.50 l S
+191.49 369.50 m 200.36 366.15 l S
+200.36 366.15 m 200.59 366.11 l S
+200.59 366.11 m 215.42 365.15 l S
+215.42 365.15 m 226.31 362.79 l S
+226.31 362.79 m 230.15 359.44 l S
+230.15 359.44 m 228.65 356.08 l S
+228.65 356.08 m 229.60 352.73 l S
+229.60 352.73 m 230.26 352.41 l S
+230.26 352.41 m 237.49 349.37 l S
+237.49 349.37 m 238.42 346.02 l S
+238.42 346.02 m 230.26 343.31 l S
+230.26 343.31 m 228.39 342.66 l S
+228.39 342.66 m 219.02 339.30 l S
+219.02 339.30 m 215.42 338.38 l S
+215.42 338.38 m 207.23 335.95 l S
+207.23 335.95 m 200.59 334.62 l S
+200.59 334.62 m 185.76 334.53 l S
+185.76 334.53 m 170.92 333.71 l S
+170.92 333.71 m 168.16 332.59 l S
+168.16 332.59 m 156.09 330.79 l S
+156.09 330.79 m 141.26 329.81 l S
+141.26 329.81 m 126.42 330.02 l S
+126.42 330.02 m 111.59 329.82 l S
+111.59 329.82 m 102.52 329.24 l S
+80.76 391.08 m 81.92 391.23 l S
+0.23 w
+[] 0 d
+75.94 392.76 m 73.78 392.48 l S
+73.78 392.48 m 73.81 390.51 l S
+73.81 390.51 m 74.00 390.76 l S
+74.00 390.76 m 74.62 391.06 l S
+74.62 391.06 m 75.27 391.14 l S
+75.27 391.14 m 75.94 391.01 l S
+75.94 391.01 m 76.43 390.63 l S
+76.43 390.63 m 76.73 390.01 l S
+76.73 390.01 m 76.78 389.58 l S
+76.78 389.58 m 76.65 388.91 l S
+76.65 388.91 m 76.28 388.42 l S
+76.28 388.42 m 75.66 388.12 l S
+75.66 388.12 m 75.01 388.04 l S
+75.01 388.04 m 74.33 388.17 l S
+74.33 388.17 m 74.09 388.36 l S
+74.09 388.36 m 73.82 388.76 l S
+0.75 w
+[] 0 d
+52.26 361.22 m 53.76 362.79 l S
+53.76 362.79 m 55.86 366.15 l S
+55.86 366.15 m 57.45 369.50 l S
+57.45 369.50 m 58.58 372.86 l S
+58.58 372.86 m 58.89 376.22 l S
+58.89 376.22 m 59.52 379.57 l S
+59.52 379.57 m 64.31 382.93 l S
+64.31 382.93 m 67.09 384.01 l S
+67.09 384.01 m 81.92 385.77 l S
+81.92 385.77 m 96.66 386.28 l S
+96.66 386.28 m 96.76 386.29 l S
+96.76 386.29 m 96.79 386.28 l S
+96.79 386.28 m 111.59 384.74 l S
+111.59 384.74 m 118.64 382.93 l S
+118.64 382.93 m 126.42 379.86 l S
+126.42 379.86 m 126.94 379.57 l S
+126.94 379.57 m 137.60 376.22 l S
+137.60 376.22 m 141.26 375.40 l S
+141.26 375.40 m 150.21 372.86 l S
+150.21 372.86 m 156.09 369.62 l S
+156.09 369.62 m 156.51 369.50 l S
+156.51 369.50 m 166.04 366.15 l S
+166.04 366.15 m 170.92 364.13 l S
+170.92 364.13 m 178.52 362.79 l S
+178.52 362.79 m 185.76 360.12 l S
+185.76 360.12 m 200.59 360.68 l S
+200.59 360.68 m 208.19 359.44 l S
+208.19 359.44 m 203.71 356.08 l S
+203.71 356.08 m 200.59 354.88 l S
+200.59 354.88 m 196.37 352.73 l S
+196.37 352.73 m 200.59 349.53 l S
+200.59 349.53 m 201.44 349.37 l S
+201.44 349.37 m 206.92 346.02 l S
+206.92 346.02 m 200.59 344.65 l S
+200.59 344.65 m 185.76 343.68 l S
+185.76 343.68 m 178.93 342.66 l S
+178.93 342.66 m 170.92 341.58 l S
+170.92 341.58 m 163.22 339.30 l S
+163.22 339.30 m 156.09 336.08 l S
+156.09 336.08 m 155.79 335.95 l S
+155.79 335.95 m 141.26 333.07 l S
+125.47 332.59 m 111.59 331.91 l S
+111.59 331.91 m 96.76 330.89 l S
+96.76 330.89 m 81.92 331.34 l S
+81.92 331.34 m 70.80 332.59 l S
+70.80 332.59 m 67.09 332.94 l S
+67.09 332.94 m 56.08 335.95 l S
+56.08 335.95 m 53.31 339.30 l S
+53.31 339.30 m 52.41 342.66 l S
+52.41 342.66 m 52.26 342.94 l S
+141.26 333.07 m 141.11 333.07 l S
+0.23 w
+[] 0 d
+130.20 334.15 m 130.63 334.38 l S
+130.63 334.38 m 131.26 335.05 l S
+131.26 335.05 m 131.40 330.49 l S
+135.17 335.17 m 134.53 334.94 l S
+134.53 334.94 m 134.11 334.27 l S
+134.11 334.27 m 133.93 333.18 l S
+133.93 333.18 m 133.95 332.53 l S
+133.95 332.53 m 134.20 331.45 l S
+134.20 331.45 m 134.65 330.81 l S
+134.65 330.81 m 135.31 330.61 l S
+135.31 330.61 m 135.75 330.62 l S
+135.75 330.62 m 136.39 330.86 l S
+136.39 330.86 m 136.81 331.53 l S
+136.81 331.53 m 136.99 332.62 l S
+136.99 332.62 m 136.97 333.27 l S
+136.97 333.27 m 136.72 334.35 l S
+136.72 334.35 m 136.27 334.99 l S
+136.27 334.99 m 135.61 335.19 l S
+135.61 335.19 m 135.17 335.17 l S
+0.75 w
+[] 0 d
+52.26 356.92 m 54.49 359.44 l S
+54.49 359.44 m 58.41 362.79 l S
+58.41 362.79 m 61.51 366.15 l S
+61.51 366.15 m 63.63 369.50 l S
+63.63 369.50 m 65.25 372.86 l S
+65.25 372.86 m 66.26 376.22 l S
+66.26 376.22 m 67.09 378.01 l S
+67.09 378.01 m 71.48 379.57 l S
+71.48 379.57 m 81.92 380.97 l S
+81.92 380.97 m 92.58 379.57 l S
+92.58 379.57 m 96.76 378.99 l S
+96.76 378.99 m 111.59 379.12 l S
+111.59 379.12 m 123.29 376.22 l S
+123.29 376.22 m 126.42 375.77 l S
+126.42 375.77 m 139.48 372.86 l S
+139.48 372.86 m 141.26 372.46 l S
+141.26 372.46 m 148.78 369.50 l S
+148.78 369.50 m 153.92 366.15 l S
+153.92 366.15 m 156.09 364.50 l S
+156.09 364.50 m 160.60 362.79 l S
+160.60 362.79 m 166.47 359.44 l S
+166.47 359.44 m 169.20 356.08 l S
+169.20 356.08 m 170.92 354.68 l S
+170.92 354.68 m 174.94 352.73 l S
+174.94 352.73 m 180.19 349.37 l S
+180.19 349.37 m 173.67 346.02 l S
+173.67 346.02 m 170.92 345.57 l S
+170.92 345.57 m 158.61 342.66 l S
+158.61 342.66 m 156.09 341.89 l S
+156.09 341.89 m 150.69 339.30 l S
+150.69 339.30 m 141.26 336.12 l S
+141.26 336.12 m 140.52 335.95 l S
+140.52 335.95 m 126.42 334.34 l S
+126.42 334.34 m 111.59 333.45 l S
+81.92 333.34 m 67.09 334.98 l S
+67.09 334.98 m 63.54 335.95 l S
+63.54 335.95 m 57.79 339.30 l S
+57.79 339.30 m 56.08 342.66 l S
+56.08 342.66 m 54.09 346.02 l S
+54.09 346.02 m 52.26 348.68 l S
+111.59 333.45 m 97.57 333.40 l S
+0.23 w
+[] 0 d
+86.70 334.77 m 87.13 334.99 l S
+87.13 334.99 m 87.78 335.65 l S
+87.78 335.65 m 87.80 331.08 l S
+93.00 335.66 m 90.83 335.66 l S
+90.83 335.66 m 90.62 333.70 l S
+90.62 333.70 m 90.83 333.92 l S
+90.83 333.92 m 91.48 334.14 l S
+91.48 334.14 m 92.14 334.14 l S
+92.14 334.14 m 92.79 333.92 l S
+92.79 333.92 m 93.23 333.49 l S
+93.23 333.49 m 93.44 332.84 l S
+93.44 332.84 m 93.45 332.40 l S
+93.45 332.40 m 93.23 331.75 l S
+93.23 331.75 m 92.80 331.32 l S
+92.80 331.32 m 92.15 331.10 l S
+92.15 331.10 m 91.49 331.09 l S
+91.49 331.09 m 90.84 331.31 l S
+90.84 331.31 m 90.62 331.53 l S
+90.62 331.53 m 90.40 331.96 l S
+0.75 w
+[] 0 d
+67.09 337.04 m 62.26 339.30 l S
+62.26 339.30 m 59.75 342.66 l S
+59.75 342.66 m 57.37 346.02 l S
+57.37 346.02 m 54.64 349.37 l S
+54.64 349.37 m 53.44 352.73 l S
+53.44 352.73 m 54.48 356.08 l S
+54.48 356.08 m 58.02 359.44 l S
+58.02 359.44 m 63.06 362.79 l S
+63.06 362.79 m 67.09 366.09 l S
+67.09 366.09 m 67.18 366.15 l S
+67.18 366.15 m 70.71 369.50 l S
+70.71 369.50 m 78.46 372.86 l S
+78.46 372.86 m 81.92 373.91 l S
+111.59 374.94 m 126.42 372.89 l S
+126.42 372.89 m 126.54 372.86 l S
+126.54 372.86 m 141.26 369.53 l S
+141.26 369.53 m 141.32 369.50 l S
+141.32 369.50 m 147.37 366.15 l S
+147.37 366.15 m 151.83 362.79 l S
+151.83 362.79 m 154.86 359.44 l S
+154.86 359.44 m 156.09 358.09 l S
+156.09 358.09 m 158.73 356.08 l S
+158.73 356.08 m 162.98 352.73 l S
+162.98 352.73 m 164.40 349.37 l S
+164.40 349.37 m 156.09 346.13 l S
+156.09 346.13 m 155.87 346.02 l S
+155.87 346.02 m 147.67 342.66 l S
+147.67 342.66 m 141.26 339.73 l S
+141.26 339.73 m 140.55 339.30 l S
+140.55 339.30 m 126.42 336.05 l S
+126.42 336.05 m 125.61 335.95 l S
+125.61 335.95 m 111.59 334.72 l S
+111.59 334.72 m 96.76 334.23 l S
+96.76 334.23 m 81.92 334.90 l S
+81.92 334.90 m 73.57 335.95 l S
+73.57 335.95 m 67.09 337.04 l S
+97.56 374.45 m 111.59 374.94 l S
+0.23 w
+[] 0 d
+86.23 375.26 m 86.22 375.47 l S
+86.22 375.47 m 86.42 375.92 l S
+86.42 375.92 m 86.63 376.14 l S
+86.63 376.14 m 87.06 376.37 l S
+87.06 376.37 m 87.93 376.40 l S
+87.93 376.40 m 88.37 376.20 l S
+88.37 376.20 m 88.59 375.99 l S
+88.59 375.99 m 88.83 375.56 l S
+88.83 375.56 m 88.84 375.13 l S
+88.84 375.13 m 88.64 374.69 l S
+88.64 374.69 m 88.23 374.02 l S
+88.23 374.02 m 86.13 371.77 l S
+86.13 371.77 m 89.17 371.88 l S
+91.62 376.53 m 90.97 376.29 l S
+90.97 376.29 m 90.56 375.62 l S
+90.56 375.62 m 90.38 374.53 l S
+90.38 374.53 m 90.41 373.88 l S
+90.41 373.88 m 90.66 372.80 l S
+90.66 372.80 m 91.12 372.16 l S
+91.12 372.16 m 91.78 371.97 l S
+91.78 371.97 m 92.21 371.98 l S
+92.21 371.98 m 92.86 372.22 l S
+92.86 372.22 m 93.27 372.89 l S
+93.27 372.89 m 93.45 373.98 l S
+93.45 373.98 m 93.42 374.64 l S
+93.42 374.64 m 93.17 375.71 l S
+93.17 375.71 m 92.71 376.35 l S
+92.71 376.35 m 92.05 376.55 l S
+92.05 376.55 m 91.62 376.53 l S
+0.75 w
+[] 0 d
+67.09 339.14 m 66.74 339.30 l S
+66.74 339.30 m 63.42 342.66 l S
+63.42 342.66 m 60.64 346.02 l S
+60.64 346.02 m 57.44 349.37 l S
+57.44 349.37 m 56.03 352.73 l S
+56.03 352.73 m 57.29 356.08 l S
+57.29 356.08 m 61.54 359.44 l S
+61.54 359.44 m 67.09 362.53 l S
+67.09 362.53 m 68.04 362.79 l S
+68.04 362.79 m 73.80 366.15 l S
+73.80 366.15 m 78.92 369.50 l S
+78.92 369.50 m 81.92 370.57 l S
+81.92 370.57 m 96.76 372.30 l S
+96.76 372.30 m 111.59 372.07 l S
+111.59 372.07 m 126.42 369.76 l S
+126.42 369.76 m 127.58 369.50 l S
+127.58 369.50 m 140.36 366.15 l S
+140.36 366.15 m 141.26 365.83 l S
+141.26 365.83 m 145.36 362.79 l S
+145.36 362.79 m 147.61 359.44 l S
+147.61 359.44 m 149.61 356.08 l S
+149.61 356.08 m 153.06 352.73 l S
+153.06 352.73 m 152.57 349.37 l S
+152.57 349.37 m 145.99 346.02 l S
+145.99 346.02 m 141.26 344.09 l S
+141.26 344.09 m 139.03 342.66 l S
+139.03 342.66 m 133.02 339.30 l S
+133.02 339.30 m 126.42 337.78 l S
+126.42 337.78 m 111.59 335.98 l S
+111.59 335.98 m 109.62 335.95 l S
+90.97 335.95 m 81.92 336.36 l S
+81.92 336.36 m 67.09 339.14 l S
+109.62 335.95 m 106.63 335.95 l S
+0.23 w
+[] 0 d
+95.32 337.14 m 95.32 337.36 l S
+95.32 337.36 m 95.54 337.80 l S
+95.54 337.80 m 95.76 338.01 l S
+95.76 338.01 m 96.19 338.23 l S
+96.19 338.23 m 97.06 338.23 l S
+97.06 338.23 m 97.50 338.01 l S
+97.50 338.01 m 97.71 337.80 l S
+97.71 337.80 m 97.93 337.36 l S
+97.93 337.36 m 97.93 336.93 l S
+97.93 336.93 m 97.71 336.49 l S
+97.71 336.49 m 97.28 335.84 l S
+97.28 335.84 m 95.10 333.67 l S
+95.10 333.67 m 98.15 333.67 l S
+102.06 338.23 m 99.89 338.23 l S
+99.89 338.23 m 99.67 336.27 l S
+99.67 336.27 m 99.89 336.49 l S
+99.89 336.49 m 100.54 336.71 l S
+100.54 336.71 m 101.19 336.71 l S
+101.19 336.71 m 101.84 336.49 l S
+101.84 336.49 m 102.28 336.06 l S
+102.28 336.06 m 102.50 335.41 l S
+102.50 335.41 m 102.50 334.97 l S
+102.50 334.97 m 102.28 334.32 l S
+102.28 334.32 m 101.84 333.88 l S
+101.84 333.88 m 101.19 333.67 l S
+101.19 333.67 m 100.54 333.67 l S
+100.54 333.67 m 99.89 333.88 l S
+99.89 333.88 m 99.67 334.10 l S
+99.67 334.10 m 99.45 334.54 l S
+0.75 w
+[] 0 d
+67.09 342.66 m 67.09 342.66 l S
+67.09 342.66 m 63.92 346.02 l S
+63.92 346.02 m 60.24 349.37 l S
+60.24 349.37 m 58.63 352.73 l S
+58.63 352.73 m 60.10 356.08 l S
+60.10 356.08 m 65.06 359.44 l S
+80.42 366.15 m 81.92 367.03 l S
+81.92 367.03 m 92.25 369.50 l S
+92.25 369.50 m 96.76 370.11 l S
+96.76 370.11 m 109.71 369.50 l S
+109.71 369.50 m 111.59 369.38 l S
+111.59 369.38 m 126.42 366.20 l S
+126.42 366.20 m 126.61 366.15 l S
+126.61 366.15 m 136.79 362.79 l S
+136.79 362.79 m 139.99 359.44 l S
+139.99 359.44 m 140.96 356.08 l S
+140.96 356.08 m 141.26 355.71 l S
+141.26 355.71 m 143.92 352.73 l S
+143.92 352.73 m 143.45 349.37 l S
+143.45 349.37 m 141.26 348.31 l S
+141.26 348.31 m 137.97 346.02 l S
+137.97 346.02 m 132.76 342.66 l S
+132.76 342.66 m 126.42 339.67 l S
+126.42 339.67 m 125.52 339.30 l S
+125.52 339.30 m 111.59 337.13 l S
+111.59 337.13 m 96.76 336.89 l S
+96.76 336.89 m 81.92 337.61 l S
+81.92 337.61 m 73.09 339.30 l S
+73.09 339.30 m 67.09 342.66 l S
+79.41 365.70 m 80.42 366.15 l S
+0.23 w
+[] 0 d
+68.33 363.36 m 70.52 364.32 l S
+70.52 364.32 m 70.03 362.20 l S
+70.03 362.20 m 70.62 362.46 l S
+70.62 362.46 m 71.11 362.44 l S
+71.11 362.44 m 71.39 362.32 l S
+71.39 362.32 m 71.85 361.81 l S
+71.85 361.81 m 72.03 361.42 l S
+72.03 361.42 m 72.09 360.73 l S
+72.09 360.73 m 71.87 360.16 l S
+71.87 360.16 m 71.36 359.70 l S
+71.36 359.70 m 70.76 359.44 l S
+70.76 359.44 m 70.07 359.37 l S
+70.07 359.37 m 69.79 359.49 l S
+69.79 359.49 m 69.41 359.80 l S
+73.11 365.45 m 72.60 364.99 l S
+72.60 364.99 m 72.47 364.22 l S
+72.47 364.22 m 72.70 363.13 l S
+72.70 363.13 m 72.96 362.54 l S
+72.96 362.54 m 73.60 361.63 l S
+73.60 361.63 m 74.26 361.20 l S
+74.26 361.20 m 74.94 361.27 l S
+74.94 361.27 m 75.34 361.44 l S
+75.34 361.44 m 75.85 361.90 l S
+75.85 361.90 m 75.99 362.67 l S
+75.99 362.67 m 75.75 363.75 l S
+75.75 363.75 m 75.49 364.35 l S
+75.49 364.35 m 74.85 365.26 l S
+74.85 365.26 m 74.20 365.68 l S
+74.20 365.68 m 73.51 365.62 l S
+73.51 365.62 m 73.11 365.45 l S
+0.75 w
+[] 0 d
+67.09 346.09 m 63.04 349.37 l S
+63.04 349.37 m 61.22 352.73 l S
+61.22 352.73 m 62.92 356.08 l S
+62.92 356.08 m 67.09 358.69 l S
+67.09 358.69 m 70.56 359.44 l S
+70.56 359.44 m 81.92 362.71 l S
+81.92 362.71 m 82.33 362.79 l S
+82.33 362.79 m 92.44 366.15 l S
+92.44 366.15 m 96.76 367.17 l S
+96.76 367.17 m 111.59 366.37 l S
+111.59 366.37 m 112.64 366.15 l S
+129.76 359.44 m 132.81 356.08 l S
+132.81 356.08 m 136.72 352.73 l S
+136.72 352.73 m 136.71 349.37 l S
+136.71 349.37 m 131.65 346.02 l S
+131.65 346.02 m 126.49 342.66 l S
+126.49 342.66 m 126.42 342.63 l S
+126.42 342.63 m 118.16 339.30 l S
+118.16 339.30 m 111.59 338.28 l S
+111.59 338.28 m 96.76 338.09 l S
+96.76 338.09 m 81.92 338.86 l S
+81.92 338.86 m 79.61 339.30 l S
+79.61 339.30 m 71.21 342.66 l S
+71.21 342.66 m 67.21 346.02 l S
+67.21 346.02 m 67.09 346.09 l S
+127.21 360.44 m 129.76 359.44 l S
+0.23 w
+[] 0 d
+117.72 366.61 m 119.95 365.73 l S
+119.95 365.73 m 118.10 364.59 l S
+118.10 364.59 m 118.71 364.35 l S
+118.71 364.35 m 119.03 363.99 l S
+119.03 363.99 m 119.15 363.71 l S
+119.15 363.71 m 119.12 363.02 l S
+119.12 363.02 m 118.96 362.62 l S
+118.96 362.62 m 118.52 362.09 l S
+118.52 362.09 m 117.96 361.85 l S
+117.96 361.85 m 117.27 361.88 l S
+117.27 361.88 m 116.66 362.12 l S
+116.66 362.12 m 116.13 362.56 l S
+116.13 362.56 m 116.01 362.84 l S
+116.01 362.84 m 115.97 363.33 l S
+123.79 364.23 m 121.77 365.02 l S
+121.77 365.02 m 120.85 363.28 l S
+120.85 363.28 m 121.13 363.40 l S
+121.13 363.40 m 121.82 363.37 l S
+121.82 363.37 m 122.43 363.13 l S
+122.43 363.13 m 122.96 362.69 l S
+122.96 362.69 m 123.20 362.12 l S
+123.20 362.12 m 123.17 361.44 l S
+123.17 361.44 m 123.01 361.03 l S
+123.01 361.03 m 122.57 360.50 l S
+122.57 360.50 m 122.00 360.26 l S
+122.00 360.26 m 121.32 360.29 l S
+121.32 360.29 m 120.71 360.53 l S
+120.71 360.53 m 120.18 360.97 l S
+120.18 360.97 m 120.06 361.25 l S
+120.06 361.25 m 120.02 361.74 l S
+0.75 w
+[] 0 d
+67.09 348.35 m 65.83 349.37 l S
+65.83 349.37 m 63.82 352.73 l S
+63.82 352.73 m 65.73 356.08 l S
+65.73 356.08 m 67.09 356.93 l S
+67.09 356.93 m 78.72 359.44 l S
+78.72 359.44 m 81.92 360.36 l S
+81.92 360.36 m 93.53 362.79 l S
+93.53 362.79 m 96.76 363.79 l S
+96.76 363.79 m 111.59 363.07 l S
+111.59 363.07 m 112.57 362.79 l S
+112.57 362.79 m 119.64 359.44 l S
+119.64 359.44 m 124.59 356.08 l S
+124.59 356.08 m 126.42 355.20 l S
+126.42 355.20 m 130.33 352.73 l S
+130.33 352.73 m 130.73 349.37 l S
+130.73 349.37 m 126.42 346.66 l S
+126.42 346.66 m 125.64 346.02 l S
+125.64 346.02 m 121.68 342.66 l S
+121.68 342.66 m 111.59 339.46 l S
+111.59 339.46 m 99.02 339.30 l S
+99.02 339.30 m 96.76 339.28 l S
+96.76 339.28 m 96.33 339.30 l S
+96.33 339.30 m 81.92 340.27 l S
+81.92 340.27 m 75.32 342.66 l S
+75.32 342.66 m 70.78 346.02 l S
+70.78 346.02 m 67.09 348.35 l S
+67.09 351.64 m 66.41 352.73 l S
+66.41 352.73 m 67.09 353.86 l S
+67.09 353.86 m 71.36 356.08 l S
+71.36 356.08 m 81.92 358.36 l S
+81.92 358.36 m 90.02 359.44 l S
+107.38 359.44 m 111.59 358.53 l S
+111.59 358.53 m 116.14 356.08 l S
+116.14 356.08 m 123.71 352.73 l S
+123.71 352.73 m 124.87 349.37 l S
+124.87 349.37 m 121.09 346.02 l S
+121.09 346.02 m 116.87 342.66 l S
+116.87 342.66 m 111.59 340.99 l S
+111.59 340.99 m 96.76 340.56 l S
+96.76 340.56 m 81.92 341.76 l S
+81.92 341.76 m 79.44 342.66 l S
+79.44 342.66 m 74.34 346.02 l S
+74.34 346.02 m 69.40 349.37 l S
+69.40 349.37 m 67.09 351.64 l S
+105.68 359.44 m 107.38 359.44 l S
+0.23 w
+[] 0 d
+96.33 361.72 m 94.15 358.68 l S
+94.15 358.68 m 97.42 358.68 l S
+96.33 361.72 m 96.33 357.15 l S
+101.11 361.72 m 98.94 361.72 l S
+98.94 361.72 m 98.72 359.76 l S
+98.72 359.76 m 98.94 359.98 l S
+98.94 359.98 m 99.59 360.20 l S
+99.59 360.20 m 100.24 360.20 l S
+100.24 360.20 m 100.89 359.98 l S
+100.89 359.98 m 101.33 359.55 l S
+101.33 359.55 m 101.55 358.89 l S
+101.55 358.89 m 101.55 358.46 l S
+101.55 358.46 m 101.33 357.81 l S
+101.33 357.81 m 100.89 357.37 l S
+100.89 357.37 m 100.24 357.15 l S
+100.24 357.15 m 99.59 357.15 l S
+99.59 357.15 m 98.94 357.37 l S
+98.94 357.37 m 98.72 357.59 l S
+98.72 357.59 m 98.50 358.02 l S
+0.75 w
+[] 0 d
+81.92 343.54 m 77.91 346.02 l S
+77.91 346.02 m 73.59 349.37 l S
+73.59 349.37 m 71.61 352.73 l S
+71.61 352.73 m 79.62 356.08 l S
+79.62 356.08 m 81.92 356.58 l S
+81.92 356.58 m 96.76 358.00 l S
+96.76 358.00 m 105.47 356.08 l S
+105.47 356.08 m 111.59 354.79 l S
+111.59 354.79 m 116.73 352.73 l S
+116.73 352.73 m 119.31 349.37 l S
+119.31 349.37 m 116.54 346.02 l S
+116.54 346.02 m 112.07 342.66 l S
+112.07 342.66 m 111.59 342.51 l S
+111.59 342.51 m 96.76 341.85 l S
+96.76 341.85 m 87.66 342.66 l S
+87.66 342.66 m 81.92 343.54 l S
+81.92 345.74 m 81.48 346.02 l S
+81.48 346.02 m 77.77 349.37 l S
+77.77 349.37 m 77.73 352.73 l S
+77.73 352.73 m 81.92 354.36 l S
+81.92 354.36 m 96.76 355.04 l S
+96.76 355.04 m 107.77 352.73 l S
+107.77 352.73 m 111.59 351.37 l S
+111.59 351.37 m 113.74 349.37 l S
+113.74 349.37 m 112.00 346.02 l S
+112.00 346.02 m 111.59 345.71 l S
+111.59 345.71 m 96.76 343.51 l S
+96.76 343.51 m 81.92 345.74 l S
+96.76 345.80 m 95.34 346.02 l S
+95.34 346.02 m 82.26 349.37 l S
+82.26 349.37 m 96.76 351.47 l S
+96.76 351.47 m 102.63 349.37 l S
+102.63 349.37 m 98.13 346.02 l S
+98.13 346.02 m 96.76 345.80 l S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+46.86 326.02 m 420.37 326.02 l S
+46.86 326.02 m 46.86 323.64 l S
+100.21 326.02 m 100.21 323.64 l S
+153.57 326.02 m 153.57 323.64 l S
+206.93 326.02 m 206.93 323.64 l S
+260.29 326.02 m 260.29 323.64 l S
+313.65 326.02 m 313.65 323.64 l S
+367.01 326.02 m 367.01 323.64 l S
+420.37 326.02 m 420.37 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 39.07 312.71 Tm (0.00) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 92.43 312.71 Tm (0.05) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 145.79 312.71 Tm (0.10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 199.15 312.71 Tm (0.15) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 252.51 312.71 Tm (0.20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 305.87 312.71 Tm (0.25) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 359.22 312.71 Tm (0.30) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 412.58 312.71 Tm (0.35) Tj
+ET
+38.02 341.92 m 38.02 399.14 l S
+38.02 341.92 m 35.64 341.92 l S
+38.02 360.99 m 35.64 360.99 l S
+38.02 380.07 m 35.64 380.07 l S
+38.02 399.14 m 35.64 399.14 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 336.36 Tm (0.1) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 355.43 Tm (0.2) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 374.51 Tm (0.3) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 393.58 Tm (0.4) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+Q q 0.00 144.00 432.00 144.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.24 307.58 17.51 re B
+38.02 206.25 71.89 17.51 re B
+38.02 227.25 24.51 17.51 re B
+38.02 248.26 4.49 17.51 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 185.77 Tm (\(0,0\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 227.78 Tm (\(1,0\)) Tj
+ET
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 165.92 274.91 Tm (Predicted Values: \(Y1,Y2\)|X) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 183.81 155.40 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 182.02 m 364.80 182.02 l S
+38.02 182.02 m 38.02 179.64 l S
+119.71 182.02 m 119.71 179.64 l S
+201.41 182.02 m 201.41 179.64 l S
+283.10 182.02 m 283.10 179.64 l S
+364.80 182.02 m 364.80 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 35.79 168.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 115.26 168.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 196.96 168.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 278.65 168.71 Tm (60) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 360.35 168.71 Tm (80) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 105.44 130.91 Tm (First Differences: Pr\(Y1=k,Y2=l|X1\) - Pr\(Y1=k,Y2=l|X\)) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 211.92 11.40 Tm (Pr\(Y1 = 1\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 63.16 Tm (Pr\(Y2 = 1\)) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+408.26 85.95 m 407.79 84.86 l S
+407.79 84.86 m 400.67 81.50 l S
+400.67 81.50 m 393.42 78.76 l S
+378.59 81.09 m 376.57 81.50 l S
+376.57 81.50 m 367.83 84.86 l S
+367.83 84.86 m 363.76 87.92 l S
+363.76 87.92 m 362.97 88.22 l S
+362.97 88.22 m 352.28 91.57 l S
+352.28 91.57 m 348.92 93.24 l S
+348.92 93.24 m 335.79 94.93 l S
+335.79 94.93 m 334.09 95.20 l S
+334.09 95.20 m 324.04 98.28 l S
+324.04 98.28 m 321.77 101.64 l S
+321.77 101.64 m 323.21 104.99 l S
+323.21 104.99 m 319.85 108.35 l S
+319.85 108.35 m 319.26 110.19 l S
+319.26 110.19 m 318.38 111.70 l S
+318.38 111.70 m 319.26 112.38 l S
+319.26 112.38 m 334.09 113.87 l S
+334.09 113.87 m 338.88 115.06 l S
+338.88 115.06 m 342.57 118.42 l S
+342.57 118.42 m 348.92 119.78 l S
+348.92 119.78 m 363.76 120.69 l S
+363.76 120.69 m 378.59 121.17 l S
+378.59 121.17 m 390.19 121.77 l S
+382.26 80.51 m 378.59 81.09 l S
+0.23 w
+[] 0 d
+389.27 81.72 m 387.12 82.06 l S
+387.12 82.06 m 386.60 80.16 l S
+386.60 80.16 m 386.85 80.34 l S
+386.85 80.34 m 387.53 80.46 l S
+387.53 80.46 m 388.17 80.35 l S
+388.17 80.35 m 388.78 80.04 l S
+388.78 80.04 m 389.14 79.54 l S
+389.14 79.54 m 389.26 78.86 l S
+389.26 78.86 m 389.19 78.43 l S
+389.19 78.43 m 388.88 77.82 l S
+388.88 77.82 m 388.38 77.46 l S
+388.38 77.46 m 387.70 77.35 l S
+387.70 77.35 m 387.06 77.45 l S
+387.06 77.45 m 386.45 77.76 l S
+386.45 77.76 m 386.26 78.01 l S
+386.26 78.01 m 386.12 78.48 l S
+0.75 w
+[] 0 d
+408.26 119.32 m 395.64 121.77 l S
+408.26 99.13 m 407.43 98.28 l S
+407.43 98.28 m 405.79 94.93 l S
+405.79 94.93 m 403.35 91.57 l S
+403.35 91.57 m 400.70 88.22 l S
+400.70 88.22 m 397.44 84.86 l S
+397.44 84.86 m 393.42 83.46 l S
+393.42 83.46 m 383.71 84.86 l S
+383.71 84.86 m 378.59 85.81 l S
+378.59 85.81 m 373.43 88.22 l S
+373.43 88.22 m 365.33 91.57 l S
+365.33 91.57 m 363.76 92.22 l S
+363.76 92.22 m 355.71 94.93 l S
+355.71 94.93 m 351.51 98.28 l S
+351.51 98.28 m 349.88 101.64 l S
+349.88 101.64 m 348.92 102.37 l S
+348.92 102.37 m 340.35 104.99 l S
+340.35 104.99 m 337.16 108.35 l S
+337.16 108.35 m 348.92 111.56 l S
+348.92 111.56 m 349.15 111.70 l S
+349.15 111.70 m 353.57 115.06 l S
+353.57 115.06 m 363.76 117.76 l S
+363.76 117.76 m 367.52 118.42 l S
+367.52 118.42 m 378.59 119.62 l S
+402.53 118.42 m 407.97 115.06 l S
+407.97 115.06 m 408.26 114.38 l S
+394.22 118.83 m 402.53 118.42 l S
+0.23 w
+[] 0 d
+383.44 120.79 m 383.88 120.98 l S
+383.88 120.98 m 384.57 121.60 l S
+384.57 121.60 m 384.34 117.04 l S
+388.47 121.41 m 387.81 121.22 l S
+387.81 121.22 m 387.34 120.59 l S
+387.34 120.59 m 387.07 119.52 l S
+387.07 119.52 m 387.04 118.87 l S
+387.04 118.87 m 387.20 117.77 l S
+387.20 117.77 m 387.60 117.10 l S
+387.60 117.10 m 388.24 116.85 l S
+388.24 116.85 m 388.68 116.83 l S
+388.68 116.83 m 389.34 117.01 l S
+389.34 117.01 m 389.81 117.64 l S
+389.81 117.64 m 390.08 118.71 l S
+390.08 118.71 m 390.11 119.37 l S
+390.11 119.37 m 389.95 120.46 l S
+389.95 120.46 m 389.55 121.13 l S
+389.55 121.13 m 388.91 121.38 l S
+388.91 121.38 m 388.47 121.41 l S
+0.75 w
+[] 0 d
+408.26 102.48 m 407.63 101.64 l S
+407.63 101.64 m 404.22 98.28 l S
+404.22 98.28 m 401.87 94.93 l S
+401.87 94.93 m 397.65 91.57 l S
+397.65 91.57 m 393.42 88.71 l S
+393.42 88.71 m 378.59 89.44 l S
+363.76 95.26 m 358.34 98.28 l S
+358.34 98.28 m 356.92 101.64 l S
+356.92 101.64 m 353.10 104.99 l S
+353.10 104.99 m 351.14 108.35 l S
+351.14 108.35 m 356.14 111.70 l S
+356.14 111.70 m 362.90 115.06 l S
+362.90 115.06 m 363.76 115.29 l S
+363.76 115.29 m 378.59 118.18 l S
+378.59 118.18 m 385.86 118.42 l S
+385.86 118.42 m 393.42 118.79 l S
+393.42 118.79 m 395.16 118.42 l S
+395.16 118.42 m 404.66 115.06 l S
+404.66 115.06 m 406.78 111.70 l S
+406.78 111.70 m 408.26 109.24 l S
+364.02 95.16 m 363.76 95.26 l S
+0.23 w
+[] 0 d
+368.99 94.72 m 369.47 94.77 l S
+369.47 94.77 m 370.32 95.13 l S
+370.32 95.13 m 368.65 90.89 l S
+375.17 93.23 m 373.15 94.02 l S
+373.15 94.02 m 372.23 92.28 l S
+372.23 92.28 m 372.52 92.40 l S
+372.52 92.40 m 373.20 92.37 l S
+373.20 92.37 m 373.81 92.13 l S
+373.81 92.13 m 374.34 91.69 l S
+374.34 91.69 m 374.58 91.12 l S
+374.58 91.12 m 374.55 90.44 l S
+374.55 90.44 m 374.39 90.03 l S
+374.39 90.03 m 373.95 89.51 l S
+373.95 89.51 m 373.38 89.26 l S
+373.38 89.26 m 372.70 89.30 l S
+372.70 89.30 m 372.09 89.53 l S
+372.09 89.53 m 371.56 89.98 l S
+371.56 89.98 m 371.44 90.26 l S
+371.44 90.26 m 371.40 90.74 l S
+0.75 w
+[] 0 d
+363.76 101.93 m 361.32 104.99 l S
+361.32 104.99 m 359.64 108.35 l S
+359.64 108.35 m 363.13 111.70 l S
+363.13 111.70 m 363.76 112.01 l S
+363.76 112.01 m 368.32 115.06 l S
+368.32 115.06 m 378.59 117.16 l S
+378.59 117.16 m 393.42 117.60 l S
+393.42 117.60 m 401.35 115.06 l S
+401.35 115.06 m 404.56 111.70 l S
+404.56 111.70 m 406.70 108.35 l S
+397.94 94.93 m 393.42 92.18 l S
+393.42 92.18 m 378.59 91.86 l S
+378.59 91.86 m 369.63 94.93 l S
+369.63 94.93 m 364.70 98.28 l S
+364.70 98.28 m 363.87 101.64 l S
+363.87 101.64 m 363.76 101.93 l S
+398.15 95.24 m 397.94 94.93 l S
+0.23 w
+[] 0 d
+399.52 99.54 m 399.34 99.66 l S
+399.34 99.66 m 399.09 100.08 l S
+399.09 100.08 m 399.03 100.38 l S
+399.03 100.38 m 399.08 100.86 l S
+399.08 100.86 m 399.56 101.59 l S
+399.56 101.59 m 399.98 101.83 l S
+399.98 101.83 m 400.28 101.90 l S
+400.28 101.90 m 400.76 101.84 l S
+400.76 101.84 m 401.13 101.60 l S
+401.13 101.60 m 401.37 101.18 l S
+401.37 101.18 m 401.68 100.46 l S
+401.68 100.46 m 402.31 97.46 l S
+402.31 97.46 m 403.98 100.00 l S
+401.58 104.68 m 401.40 104.02 l S
+401.40 104.02 m 401.71 103.30 l S
+401.71 103.30 m 402.50 102.52 l S
+402.50 102.52 m 403.05 102.17 l S
+403.05 102.17 m 404.08 101.75 l S
+404.08 101.75 m 404.86 101.76 l S
+404.86 101.76 m 405.40 102.19 l S
+405.40 102.19 m 405.64 102.55 l S
+405.64 102.55 m 405.81 103.22 l S
+405.81 103.22 m 405.50 103.94 l S
+405.50 103.94 m 404.71 104.72 l S
+404.71 104.72 m 404.16 105.07 l S
+404.16 105.07 m 403.14 105.48 l S
+403.14 105.48 m 402.35 105.47 l S
+402.35 105.47 m 401.81 105.05 l S
+401.81 105.05 m 401.58 104.68 l S
+0.75 w
+[] 0 d
+378.59 93.71 m 375.02 94.93 l S
+375.02 94.93 m 369.28 98.28 l S
+369.28 98.28 m 368.01 101.64 l S
+368.01 101.64 m 366.14 104.99 l S
+366.14 104.99 m 365.40 108.35 l S
+365.40 108.35 m 366.98 111.70 l S
+366.98 111.70 m 373.34 115.06 l S
+373.34 115.06 m 378.59 116.13 l S
+378.59 116.13 m 393.42 116.54 l S
+393.42 116.54 m 398.04 115.06 l S
+398.04 115.06 m 402.34 111.70 l S
+402.34 111.70 m 404.65 108.35 l S
+404.65 108.35 m 405.37 104.99 l S
+405.37 104.99 m 402.31 101.64 l S
+402.31 101.64 m 397.81 98.28 l S
+397.81 98.28 m 394.01 94.93 l S
+394.01 94.93 m 393.42 94.57 l S
+393.42 94.57 m 378.59 93.71 l S
+378.59 95.75 m 373.85 98.28 l S
+373.85 98.28 m 372.14 101.64 l S
+372.14 101.64 m 369.54 104.99 l S
+369.54 104.99 m 368.58 108.35 l S
+368.58 108.35 m 370.53 111.70 l S
+370.53 111.70 m 378.37 115.06 l S
+378.37 115.06 m 378.59 115.10 l S
+378.59 115.10 m 393.42 115.48 l S
+393.42 115.48 m 394.72 115.06 l S
+394.72 115.06 m 400.13 111.70 l S
+400.13 111.70 m 402.60 108.35 l S
+402.60 108.35 m 403.13 104.99 l S
+403.13 104.99 m 399.66 101.64 l S
+399.66 101.64 m 394.60 98.28 l S
+394.60 98.28 m 393.42 97.27 l S
+393.42 97.27 m 378.59 95.75 l S
+378.59 98.19 m 378.42 98.28 l S
+378.42 98.28 m 376.27 101.64 l S
+376.27 101.64 m 372.94 104.99 l S
+372.94 104.99 m 371.76 108.35 l S
+371.76 108.35 m 374.07 111.70 l S
+374.07 111.70 m 378.59 113.62 l S
+378.59 113.62 m 393.42 114.28 l S
+393.42 114.28 m 397.91 111.70 l S
+397.91 111.70 m 400.56 108.35 l S
+400.56 108.35 m 400.90 104.99 l S
+400.90 104.99 m 397.00 101.64 l S
+397.00 101.64 m 393.42 99.35 l S
+393.42 99.35 m 379.39 98.28 l S
+379.39 98.28 m 378.59 98.19 l S
+378.59 102.97 m 376.33 104.99 l S
+376.33 104.99 m 374.94 108.35 l S
+374.94 108.35 m 377.62 111.70 l S
+377.62 111.70 m 378.59 112.12 l S
+378.59 112.12 m 393.42 113.01 l S
+393.42 113.01 m 395.69 111.70 l S
+395.69 111.70 m 398.51 108.35 l S
+398.51 108.35 m 398.66 104.99 l S
+398.66 104.99 m 394.34 101.64 l S
+394.34 101.64 m 393.42 101.05 l S
+393.42 101.05 m 386.89 101.64 l S
+386.89 101.64 m 378.59 102.97 l S
+378.59 107.32 m 378.12 108.35 l S
+378.12 108.35 m 378.59 108.92 l S
+378.59 108.92 m 392.96 111.70 l S
+392.96 111.70 m 393.42 111.73 l S
+393.42 111.73 m 393.47 111.70 l S
+393.47 111.70 m 396.46 108.35 l S
+396.46 108.35 m 396.43 104.99 l S
+396.43 104.99 m 393.42 102.74 l S
+393.42 102.74 m 381.55 104.99 l S
+381.55 104.99 m 378.59 107.32 l S
+393.42 104.42 m 390.39 104.99 l S
+390.39 104.99 m 388.05 108.35 l S
+388.05 108.35 m 393.42 109.46 l S
+393.42 109.46 m 394.41 108.35 l S
+394.41 108.35 m 394.19 104.99 l S
+394.19 104.99 m 393.42 104.42 l S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+125.26 38.02 m 410.67 38.02 l S
+125.26 38.02 m 125.26 35.64 l S
+220.40 38.02 m 220.40 35.64 l S
+315.53 38.02 m 315.53 35.64 l S
+410.67 38.02 m 410.67 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 119.70 24.71 Tm (0.4) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 214.84 24.71 Tm (0.6) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 309.97 24.71 Tm (0.8) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 405.11 24.71 Tm (1.0) Tj
+ET
+38.02 47.22 m 38.02 113.02 l S
+38.02 47.22 m 35.64 47.22 l S
+38.02 60.38 m 35.64 60.38 l S
+38.02 73.54 m 35.64 73.54 l S
+38.02 86.70 m 35.64 86.70 l S
+38.02 99.86 m 35.64 99.86 l S
+38.02 113.02 m 35.64 113.02 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 41.66 Tm (0.4) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 67.98 Tm (0.6) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 94.30 Tm (0.8) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2076 0 obj
+<<
+/CreationDate (D:20070601023347)
+/ModDate (D:20070601023347)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2077 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2078 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2081 0 R
+>>
+endobj
+2079 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2081 0 R
+>>
+endobj
+2080 0 obj
+31056
+endobj
+2081 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2074 0 obj <<
+/D [2072 0 R /XYZ 72 720 null]
+>> endobj
+2075 0 obj <<
+/D [2072 0 R /XYZ 72 332.629 null]
+>> endobj
+2071 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F167 1942 0 R >>
+/XObject << /Im11 2064 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2085 0 obj <<
+/Length 867       
+/Filter /FlateDecode
+>>
+stream
+xڽVMO�0�ﯰ8%���+���HE�T��*=��R풅��r�o��
'�n��Z�`%�g�̼��h:9<eYN�Z)2�",e�g��iAS	��_�wq�����EV
�V
���7��R���T��xUdс�xt��~7.
X,�6=#)I��Rf��=�U�JX��~�^4; ���!�$����69�N ��&���
�rIf�	�#)-�,w2�;��u������qr\O�'�;L<p ��r
d�Ȩ��d��MX�Y���|�Ƽ�0�UtҴAK���xo��y�2�H�/c�w̗��h�Q��H����j��Es�����8䙁�A�Ϋ1�cckm����>��~_ڄCi��GM�%0�|n*t��a�u��_���Q���ua�3mQ=O��{���

+9L�������V{�B	*�ʐ���hxu��?b��T�K���Y�!V��-�:�:;%���_`�М��S�����l��P�(C�(�'�i�S����
+��CX6BK!���B}�m��
�� Π

67��|%�������?��UD=�Vr�������lVu4嗾8��E9�)������HHP�:��^��E��b�bݨ��Á��`b�
+B aB�AA���ʯ�RG��~�ht��mx�9�I!�Ӹ�>eV�1�"]3�tF*�`�(t8W�Pը��!�Do���Y�a��Y^x�Zw��=Z������p��8��F���\���Bz�G ��&��\�7�Zֈ�6��k��-{ωtv;iO)Pj��#��_��������O��_�*Š�
ܮ�'��7 prxe���qM4��
v�5�^�
+�G��
A^�����t��
xs�h��3`YC_)p�Hڅ�������endstream
+endobj
+2084 0 obj <<
+/Type /Page
+/Contents 2085 0 R
+/Resources 2083 0 R
+/MediaBox [0 0 612 792]
+/Parent 2088 0 R
+>> endobj
+2082 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/bprobit-JointEstimationPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2089 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2090 0 R /F2 2091 0 R /F3 2092 0 R >>
+/ExtGState <<
+>>>>
+/Length 2093 0 R
+>>
+stream
+q
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 105.84 412.57 Tm (Predicted Probabilities: Pr\(Y1=k,Y2=l|X\)) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 210.09 233.28 Tm (Pr\(Y1 = 1\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 310.89 Tm (Pr\(Y2 = 1\)) Tj
+ET
+Q q 57.60 273.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+112.60 346.05 m 111.23 348.40 l S
+111.23 348.40 m 112.60 353.19 l S
+112.60 353.19 m 112.66 353.40 l S
+112.66 353.40 m 116.26 358.40 l S
+116.26 358.40 m 119.12 363.40 l S
+119.12 363.40 m 126.49 367.56 l S
+126.49 367.56 m 128.26 368.40 l S
+128.26 368.40 m 134.82 373.40 l S
+134.82 373.40 m 140.38 377.92 l S
+140.38 377.92 m 141.26 378.40 l S
+154.27 381.57 m 168.16 382.18 l S
+168.16 382.18 m 182.04 382.37 l S
+182.04 382.37 m 190.20 383.40 l S
+190.20 383.40 m 195.93 384.12 l S
+195.93 384.12 m 209.82 384.92 l S
+209.82 384.92 m 223.71 383.74 l S
+223.71 383.74 m 227.84 383.40 l S
+227.84 383.40 m 237.60 382.91 l S
+237.60 382.91 m 251.49 382.44 l S
+251.49 382.44 m 265.38 381.12 l S
+265.38 381.12 m 279.27 380.85 l S
+279.27 380.85 m 293.16 379.10 l S
+293.16 379.10 m 294.62 378.40 l S
+294.62 378.40 m 303.05 373.40 l S
+303.05 373.40 m 307.04 371.90 l S
+307.04 371.90 m 317.33 368.40 l S
+317.33 368.40 m 320.93 366.97 l S
+320.93 366.97 m 327.98 363.40 l S
+327.98 363.40 m 334.82 358.47 l S
+334.82 358.47 m 334.92 358.40 l S
+334.92 358.40 m 339.60 353.40 l S
+339.60 353.40 m 339.92 348.40 l S
+339.92 348.40 m 341.62 343.40 l S
+341.62 343.40 m 346.52 338.40 l S
+346.52 338.40 m 348.71 335.89 l S
+348.71 335.89 m 351.68 333.40 l S
+351.68 333.40 m 352.05 328.40 l S
+352.05 328.40 m 348.71 325.25 l S
+348.71 325.25 m 346.77 323.40 l S
+346.77 323.40 m 339.42 318.40 l S
+339.42 318.40 m 334.82 316.07 l S
+334.82 316.07 m 328.49 313.40 l S
+328.49 313.40 m 320.93 310.82 l S
+320.93 310.82 m 315.07 308.40 l S
+315.07 308.40 m 307.04 305.02 l S
+307.04 305.02 m 302.57 303.40 l S
+302.57 303.40 m 293.16 300.73 l S
+293.16 300.73 m 284.16 298.40 l S
+284.16 298.40 m 279.27 296.86 l S
+279.27 296.86 m 265.38 293.64 l S
+265.38 293.64 m 263.56 293.40 l S
+263.56 293.40 m 251.49 291.90 l S
+251.49 291.90 m 237.60 291.65 l S
+237.60 291.65 m 228.28 293.40 l S
+228.28 293.40 m 223.71 294.79 l S
+223.71 294.79 m 209.82 298.00 l S
+209.82 298.00 m 195.93 298.23 l S
+195.93 298.23 m 193.37 298.40 l S
+193.37 298.40 m 182.04 298.93 l S
+182.04 298.93 m 168.16 301.80 l S
+168.16 301.80 m 163.57 303.40 l S
+163.57 303.40 m 154.27 307.74 l S
+154.27 307.74 m 152.47 308.40 l S
+152.47 308.40 m 143.54 313.40 l S
+143.54 313.40 m 140.38 316.97 l S
+140.38 316.97 m 139.14 318.40 l S
+139.14 318.40 m 133.14 323.40 l S
+133.14 323.40 m 126.68 328.40 l S
+126.68 328.40 m 126.49 328.68 l S
+126.49 328.68 m 120.13 333.40 l S
+120.13 333.40 m 118.19 338.40 l S
+118.19 338.40 m 115.26 343.40 l S
+115.26 343.40 m 112.60 346.05 l S
+141.26 378.40 m 143.29 378.89 l S
+0.23 w
+[] 0 d
+149.29 382.71 m 147.18 382.19 l S
+147.18 382.19 m 147.43 380.24 l S
+147.43 380.24 m 147.59 380.50 l S
+147.59 380.50 m 148.17 380.87 l S
+148.17 380.87 m 148.81 381.02 l S
+148.81 381.02 m 149.49 380.97 l S
+149.49 380.97 m 150.02 380.65 l S
+150.02 380.65 m 150.38 380.07 l S
+150.38 380.07 m 150.49 379.64 l S
+150.49 379.64 m 150.43 378.96 l S
+150.43 378.96 m 150.11 378.43 l S
+150.11 378.43 m 149.53 378.07 l S
+149.53 378.07 m 148.90 377.91 l S
+148.90 377.91 m 148.21 377.97 l S
+148.21 377.97 m 147.95 378.13 l S
+147.95 378.13 m 147.63 378.50 l S
+0.75 w
+[] 0 d
+140.38 357.12 m 139.24 358.40 l S
+139.24 358.40 m 140.38 359.75 l S
+140.38 359.75 m 144.31 363.40 l S
+144.31 363.40 m 154.27 366.06 l S
+154.27 366.06 m 168.16 367.90 l S
+168.16 367.90 m 170.40 368.40 l S
+170.40 368.40 m 182.04 371.88 l S
+182.04 371.88 m 186.41 373.40 l S
+186.41 373.40 m 195.93 376.54 l S
+195.93 376.54 m 209.82 378.03 l S
+209.82 378.03 m 223.71 377.75 l S
+223.71 377.75 m 237.60 376.70 l S
+237.60 376.70 m 251.49 374.63 l S
+251.49 374.63 m 256.89 373.40 l S
+256.89 373.40 m 265.38 370.16 l S
+265.38 370.16 m 276.81 368.40 l S
+276.81 368.40 m 279.27 368.14 l S
+279.27 368.14 m 293.16 366.93 l S
+293.16 366.93 m 304.67 363.40 l S
+304.67 363.40 m 307.04 362.31 l S
+307.04 362.31 m 313.53 358.40 l S
+313.53 358.40 m 315.98 353.40 l S
+315.98 353.40 m 316.28 348.40 l S
+316.28 348.40 m 320.09 343.40 l S
+320.09 343.40 m 320.93 342.92 l S
+320.93 342.92 m 325.58 338.40 l S
+325.58 338.40 m 329.48 333.40 l S
+329.48 333.40 m 326.57 328.40 l S
+326.57 328.40 m 320.93 325.99 l S
+320.93 325.99 m 307.04 324.35 l S
+307.04 324.35 m 302.33 323.40 l S
+302.33 323.40 m 293.16 318.76 l S
+293.16 318.76 m 292.77 318.40 l S
+292.77 318.40 m 293.16 315.95 l S
+293.16 315.95 m 293.60 313.40 l S
+293.60 313.40 m 293.16 313.05 l S
+293.16 313.05 m 283.07 308.40 l S
+283.07 308.40 m 279.27 307.63 l S
+279.27 307.63 m 273.52 308.40 l S
+273.52 308.40 m 265.38 309.92 l S
+265.38 309.92 m 251.49 311.47 l S
+251.49 311.47 m 237.60 308.58 l S
+237.60 308.58 m 236.66 308.40 l S
+236.66 308.40 m 223.71 305.74 l S
+195.93 305.85 m 182.04 307.90 l S
+182.04 307.90 m 180.64 308.40 l S
+180.64 308.40 m 170.87 313.40 l S
+170.87 313.40 m 168.16 314.22 l S
+168.16 314.22 m 158.36 318.40 l S
+158.36 318.40 m 154.27 320.36 l S
+154.27 320.36 m 150.09 323.40 l S
+150.09 323.40 m 145.76 328.40 l S
+145.76 328.40 m 146.02 333.40 l S
+146.02 333.40 m 148.09 338.40 l S
+148.09 338.40 m 147.55 343.40 l S
+147.55 343.40 m 146.40 348.40 l S
+146.40 348.40 m 142.83 353.40 l S
+142.83 353.40 m 140.38 357.12 l S
+208.06 305.81 m 195.93 305.85 l S
+0.23 w
+[] 0 d
+212.85 307.20 m 213.28 307.42 l S
+213.28 307.42 m 213.94 308.07 l S
+213.94 308.07 m 213.92 303.50 l S
+217.85 308.05 m 217.20 307.84 l S
+217.20 307.84 m 216.76 307.19 l S
+216.76 307.19 m 216.54 306.10 l S
+216.54 306.10 m 216.54 305.45 l S
+216.54 305.45 m 216.75 304.36 l S
+216.75 304.36 m 217.18 303.71 l S
+217.18 303.71 m 217.83 303.49 l S
+217.83 303.49 m 218.27 303.48 l S
+218.27 303.48 m 218.92 303.70 l S
+218.92 303.70 m 219.36 304.35 l S
+219.36 304.35 m 219.58 305.43 l S
+219.58 305.43 m 219.58 306.09 l S
+219.58 306.09 m 219.37 307.17 l S
+219.37 307.17 m 218.94 307.83 l S
+218.94 307.83 m 218.29 308.05 l S
+218.29 308.05 m 217.85 308.05 l S
+0.75 w
+[] 0 d
+168.16 323.48 m 164.34 328.40 l S
+164.34 328.40 m 164.61 333.40 l S
+164.61 333.40 m 161.36 338.40 l S
+161.36 338.40 m 159.19 343.40 l S
+159.19 343.40 m 158.92 348.40 l S
+158.92 348.40 m 157.84 353.40 l S
+157.84 353.40 m 158.10 358.40 l S
+158.10 358.40 m 168.16 362.33 l S
+168.16 362.33 m 171.44 363.40 l S
+171.44 363.40 m 182.04 365.99 l S
+182.04 365.99 m 190.00 368.40 l S
+190.00 368.40 m 195.93 370.48 l S
+195.93 370.48 m 209.82 373.01 l S
+237.60 371.14 m 245.86 368.40 l S
+245.86 368.40 m 251.49 365.86 l S
+251.49 365.86 m 259.10 363.40 l S
+259.10 363.40 m 265.38 362.17 l S
+265.38 362.17 m 279.27 359.63 l S
+279.27 359.63 m 286.63 358.40 l S
+286.63 358.40 m 292.76 353.40 l S
+292.76 353.40 m 293.16 348.44 l S
+293.16 348.44 m 293.16 348.40 l S
+293.16 348.40 m 294.26 343.40 l S
+294.26 343.40 m 297.66 338.40 l S
+297.66 338.40 m 300.33 333.40 l S
+300.33 333.40 m 293.16 330.17 l S
+293.16 330.17 m 290.84 328.40 l S
+290.84 328.40 m 279.27 323.92 l S
+279.27 323.92 m 277.69 323.40 l S
+277.69 323.40 m 265.38 319.12 l S
+265.38 319.12 m 260.60 318.40 l S
+260.60 318.40 m 251.49 317.35 l S
+251.49 317.35 m 237.60 314.15 l S
+237.60 314.15 m 233.99 313.40 l S
+233.99 313.40 m 223.71 311.08 l S
+223.71 311.08 m 209.82 311.18 l S
+209.82 311.18 m 200.35 313.40 l S
+200.35 313.40 m 195.93 314.48 l S
+195.93 314.48 m 183.00 318.40 l S
+183.00 318.40 m 182.04 318.72 l S
+182.04 318.72 m 168.21 323.40 l S
+168.21 323.40 m 168.16 323.48 l S
+225.44 371.96 m 237.60 371.14 l S
+0.23 w
+[] 0 d
+214.69 374.10 m 215.14 374.29 l S
+215.14 374.29 m 215.83 374.89 l S
+215.83 374.89 m 215.52 370.34 l S
+221.04 374.54 m 218.87 374.69 l S
+218.87 374.69 m 218.52 372.75 l S
+218.52 372.75 m 218.75 372.96 l S
+218.75 372.96 m 219.42 373.13 l S
+219.42 373.13 m 220.07 373.08 l S
+220.07 373.08 m 220.70 372.82 l S
+220.70 372.82 m 221.11 372.36 l S
+221.11 372.36 m 221.28 371.70 l S
+221.28 371.70 m 221.25 371.26 l S
+221.25 371.26 m 220.99 370.63 l S
+220.99 370.63 m 220.53 370.22 l S
+220.53 370.22 m 219.86 370.05 l S
+219.86 370.05 m 219.21 370.09 l S
+219.21 370.09 m 218.58 370.35 l S
+218.58 370.35 m 218.37 370.58 l S
+218.37 370.58 m 218.19 371.03 l S
+0.75 w
+[] 0 d
+168.16 342.28 m 167.32 343.40 l S
+167.32 343.40 m 167.44 348.40 l S
+167.44 348.40 m 168.16 352.28 l S
+168.16 352.28 m 168.43 353.40 l S
+168.43 353.40 m 173.68 358.40 l S
+173.68 358.40 m 182.04 361.16 l S
+182.04 361.16 m 188.23 363.40 l S
+188.23 363.40 m 195.93 365.75 l S
+195.93 365.75 m 208.61 368.40 l S
+208.61 368.40 m 209.82 368.65 l S
+209.82 368.65 m 223.71 368.73 l S
+223.71 368.73 m 225.30 368.40 l S
+225.30 368.40 m 237.60 364.05 l S
+237.60 364.05 m 239.08 363.40 l S
+239.08 363.40 m 251.49 359.72 l S
+251.49 359.72 m 258.27 358.40 l S
+258.27 358.40 m 265.38 357.11 l S
+265.38 357.11 m 274.62 353.40 l S
+274.62 353.40 m 279.27 349.49 l S
+279.27 349.49 m 280.62 348.40 l S
+280.62 348.40 m 283.89 343.40 l S
+283.89 343.40 m 285.30 338.40 l S
+285.30 338.40 m 284.78 333.40 l S
+284.78 333.40 m 279.27 330.10 l S
+279.27 330.10 m 275.31 328.40 l S
+275.31 328.40 m 265.38 325.11 l S
+265.38 325.11 m 258.38 323.40 l S
+237.60 318.42 m 237.49 318.40 l S
+237.49 318.40 m 223.71 315.69 l S
+223.71 315.69 m 209.82 316.57 l S
+209.82 316.57 m 202.86 318.40 l S
+202.86 318.40 m 195.93 320.20 l S
+195.93 320.20 m 186.61 323.40 l S
+186.61 323.40 m 182.04 327.17 l S
+182.04 327.17 m 180.53 328.40 l S
+180.53 328.40 m 176.03 333.40 l S
+176.03 333.40 m 170.54 338.40 l S
+170.54 338.40 m 168.16 342.28 l S
+258.38 323.40 m 252.82 322.07 l S
+0.23 w
+[] 0 d
+241.55 320.60 m 241.50 320.81 l S
+241.50 320.81 m 241.61 321.28 l S
+241.61 321.28 m 241.77 321.54 l S
+241.77 321.54 m 242.14 321.86 l S
+242.14 321.86 m 242.99 322.06 l S
+242.99 322.06 m 243.46 321.95 l S
+243.46 321.95 m 243.72 321.79 l S
+243.72 321.79 m 244.03 321.42 l S
+244.03 321.42 m 244.14 320.99 l S
+244.14 320.99 m 244.03 320.52 l S
+244.03 320.52 m 243.76 319.78 l S
+243.76 319.78 m 242.15 317.16 l S
+242.15 317.16 m 245.11 317.87 l S
+246.58 322.92 m 246.00 322.56 l S
+246.00 322.56 m 245.73 321.82 l S
+245.73 321.82 m 245.77 320.71 l S
+245.77 320.71 m 245.92 320.08 l S
+245.92 320.08 m 246.38 319.07 l S
+246.38 319.07 m 246.96 318.54 l S
+246.96 318.54 m 247.64 318.48 l S
+247.64 318.48 m 248.07 318.58 l S
+248.07 318.58 m 248.65 318.95 l S
+248.65 318.95 m 248.92 319.68 l S
+248.92 319.68 m 248.88 320.79 l S
+248.88 320.79 m 248.73 321.42 l S
+248.73 321.42 m 248.26 322.43 l S
+248.26 322.43 m 247.69 322.96 l S
+247.69 322.96 m 247.00 323.02 l S
+247.00 323.02 m 246.58 322.92 l S
+0.75 w
+[] 0 d
+182.04 335.16 m 177.26 338.40 l S
+177.26 338.40 m 173.74 343.40 l S
+173.74 343.40 m 175.23 348.40 l S
+175.23 348.40 m 179.68 353.40 l S
+179.68 353.40 m 182.04 354.96 l S
+182.04 354.96 m 189.49 358.40 l S
+189.49 358.40 m 195.93 360.73 l S
+195.93 360.73 m 205.71 363.40 l S
+205.71 363.40 m 209.82 364.25 l S
+209.82 364.25 m 223.10 363.40 l S
+223.10 363.40 m 223.71 363.34 l S
+223.71 363.34 m 234.50 358.40 l S
+234.50 358.40 m 237.60 357.29 l S
+237.60 357.29 m 251.49 355.19 l S
+251.49 355.19 m 260.40 353.40 l S
+260.40 353.40 m 265.38 352.16 l S
+265.38 352.16 m 271.49 348.40 l S
+271.49 348.40 m 275.28 343.40 l S
+275.28 343.40 m 276.15 338.40 l S
+276.15 338.40 m 272.99 333.40 l S
+272.99 333.40 m 265.38 330.28 l S
+265.38 330.28 m 257.63 328.40 l S
+257.63 328.40 m 251.49 326.87 l S
+251.49 326.87 m 239.65 323.40 l S
+239.65 323.40 m 237.60 322.87 l S
+237.60 322.87 m 223.71 320.48 l S
+203.30 323.40 m 195.93 325.93 l S
+195.93 325.93 m 191.99 328.40 l S
+191.99 328.40 m 185.33 333.40 l S
+185.33 333.40 m 182.04 335.16 l S
+223.71 320.48 m 218.80 321.18 l S
+0.23 w
+[] 0 d
+207.78 323.97 m 207.81 324.18 l S
+207.81 324.18 m 208.08 324.58 l S
+208.08 324.58 m 208.33 324.77 l S
+208.33 324.77 m 208.79 324.92 l S
+208.79 324.92 m 209.65 324.80 l S
+209.65 324.80 m 210.05 324.52 l S
+210.05 324.52 m 210.23 324.27 l S
+210.23 324.27 m 210.39 323.81 l S
+210.39 323.81 m 210.33 323.38 l S
+210.33 323.38 m 210.05 322.98 l S
+210.05 322.98 m 209.53 322.40 l S
+209.53 322.40 m 207.07 320.56 l S
+207.07 320.56 m 210.08 320.12 l S
+214.60 324.09 m 212.45 324.40 l S
+212.45 324.40 m 211.96 322.49 l S
+211.96 322.49 m 212.20 322.68 l S
+212.20 322.68 m 212.88 322.80 l S
+212.88 322.80 m 213.52 322.71 l S
+213.52 322.71 m 214.14 322.40 l S
+214.14 322.40 m 214.51 321.91 l S
+214.51 321.91 m 214.63 321.23 l S
+214.63 321.23 m 214.57 320.80 l S
+214.57 320.80 m 214.26 320.18 l S
+214.26 320.18 m 213.77 319.82 l S
+213.77 319.82 m 213.09 319.69 l S
+213.09 319.69 m 212.45 319.79 l S
+212.45 319.79 m 211.83 320.09 l S
+211.83 320.09 m 211.65 320.34 l S
+211.65 320.34 m 211.49 320.80 l S
+0.75 w
+[] 0 d
+182.04 340.71 m 179.96 343.40 l S
+179.96 343.40 m 182.04 347.10 l S
+182.04 347.10 m 183.42 348.40 l S
+183.42 348.40 m 194.12 353.40 l S
+194.12 353.40 m 195.93 354.23 l S
+195.93 354.23 m 209.65 358.40 l S
+209.65 358.40 m 209.82 358.45 l S
+209.82 358.45 m 210.18 358.40 l S
+210.18 358.40 m 223.71 356.81 l S
+223.71 356.81 m 233.25 353.40 l S
+233.25 353.40 m 237.60 352.39 l S
+261.14 348.40 m 265.38 345.94 l S
+265.38 345.94 m 267.70 343.40 l S
+267.70 343.40 m 267.85 338.40 l S
+267.85 338.40 m 265.38 336.16 l S
+265.38 336.16 m 260.00 333.40 l S
+260.00 333.40 m 251.49 331.13 l S
+251.49 331.13 m 240.30 328.40 l S
+240.30 328.40 m 237.60 327.60 l S
+237.60 327.60 m 223.71 325.74 l S
+223.71 325.74 m 209.82 327.68 l S
+209.82 327.68 m 207.74 328.40 l S
+207.74 328.40 m 195.93 332.02 l S
+195.93 332.02 m 193.84 333.40 l S
+193.84 333.40 m 184.36 338.40 l S
+184.36 338.40 m 182.04 340.71 l S
+237.60 352.39 m 245.71 351.01 l S
+0.23 w
+[] 0 d
+250.60 352.50 m 252.95 352.10 l S
+252.95 352.10 m 251.38 350.61 l S
+251.38 350.61 m 252.02 350.50 l S
+252.02 350.50 m 252.41 350.21 l S
+252.41 350.21 m 252.59 349.96 l S
+252.59 349.96 m 252.70 349.28 l S
+252.70 349.28 m 252.62 348.85 l S
+252.62 348.85 m 252.30 348.24 l S
+252.30 348.24 m 251.80 347.89 l S
+251.80 347.89 m 251.12 347.78 l S
+251.12 347.78 m 250.48 347.89 l S
+250.48 347.89 m 249.87 348.22 l S
+249.87 348.22 m 249.69 348.47 l S
+249.69 348.47 m 249.55 348.93 l S
+255.74 351.63 m 255.06 351.52 l S
+255.06 351.52 m 254.52 350.95 l S
+254.52 350.95 m 254.13 349.92 l S
+254.13 349.92 m 254.02 349.28 l S
+254.02 349.28 m 254.05 348.17 l S
+254.05 348.17 m 254.37 347.45 l S
+254.37 347.45 m 254.98 347.13 l S
+254.98 347.13 m 255.41 347.06 l S
+255.41 347.06 m 256.08 347.16 l S
+256.08 347.16 m 256.62 347.73 l S
+256.62 347.73 m 257.02 348.77 l S
+257.02 348.77 m 257.13 349.41 l S
+257.13 349.41 m 257.09 350.52 l S
+257.09 350.52 m 256.77 351.23 l S
+256.77 351.23 m 256.17 351.56 l S
+256.17 351.56 m 255.74 351.63 l S
+0.75 w
+[] 0 d
+195.93 336.55 m 192.39 338.40 l S
+192.39 338.40 m 188.23 343.40 l S
+188.23 343.40 m 195.07 348.40 l S
+195.07 348.40 m 195.93 348.79 l S
+223.71 351.68 m 237.60 348.70 l S
+237.60 348.70 m 240.43 348.40 l S
+240.43 348.40 m 251.49 346.94 l S
+251.49 346.94 m 258.84 343.40 l S
+258.84 343.40 m 258.79 338.40 l S
+258.79 338.40 m 251.49 335.16 l S
+251.49 335.16 m 244.77 333.40 l S
+244.77 333.40 m 237.60 331.65 l S
+237.60 331.65 m 223.71 330.85 l S
+223.71 330.85 m 209.82 333.11 l S
+209.82 333.11 m 208.89 333.40 l S
+208.89 333.40 m 195.93 336.55 l S
+211.50 350.41 m 223.71 351.68 l S
+0.23 w
+[] 0 d
+200.24 351.53 m 202.62 351.78 l S
+202.62 351.78 m 201.50 349.91 l S
+201.50 349.91 m 202.15 349.98 l S
+202.15 349.98 m 202.60 349.81 l S
+202.60 349.81 m 202.84 349.61 l S
+202.84 349.61 m 203.12 348.99 l S
+203.12 348.99 m 203.17 348.56 l S
+203.17 348.56 m 203.02 347.88 l S
+203.02 347.88 m 202.63 347.41 l S
+202.63 347.41 m 202.01 347.12 l S
+202.01 347.12 m 201.36 347.06 l S
+201.36 347.06 m 200.69 347.20 l S
+200.69 347.20 m 200.45 347.40 l S
+200.45 347.40 m 200.19 347.81 l S
+206.72 352.20 m 204.56 351.98 l S
+204.56 351.98 m 204.55 350.01 l S
+204.55 350.01 m 204.74 350.25 l S
+204.74 350.25 m 205.37 350.53 l S
+205.37 350.53 m 206.02 350.60 l S
+206.02 350.60 m 206.69 350.45 l S
+206.69 350.45 m 207.16 350.06 l S
+207.16 350.06 m 207.45 349.44 l S
+207.45 349.44 m 207.49 349.01 l S
+207.49 349.01 m 207.34 348.33 l S
+207.34 348.33 m 206.96 347.86 l S
+206.96 347.86 m 206.33 347.57 l S
+206.33 347.57 m 205.68 347.51 l S
+205.68 347.51 m 205.01 347.65 l S
+205.01 347.65 m 204.77 347.85 l S
+204.77 347.85 m 204.51 348.26 l S
+0.75 w
+[] 0 d
+209.82 338.06 m 208.29 338.40 l S
+208.29 338.40 m 199.95 343.40 l S
+199.95 343.40 m 209.82 347.07 l S
+209.82 347.07 m 223.71 346.85 l S
+223.71 346.85 m 237.60 344.94 l S
+237.60 344.94 m 246.63 343.40 l S
+246.63 343.40 m 247.53 338.40 l S
+247.53 338.40 m 237.60 335.88 l S
+237.60 335.88 m 223.71 336.09 l S
+223.71 336.09 m 209.82 338.06 l S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.24 273.60 m 409.62 273.60 l S
+70.24 273.60 m 70.24 270.00 l S
+118.72 273.60 m 118.72 270.00 l S
+167.20 273.60 m 167.20 270.00 l S
+215.69 273.60 m 215.69 270.00 l S
+264.17 273.60 m 264.17 270.00 l S
+312.65 273.60 m 312.65 270.00 l S
+361.13 273.60 m 361.13 270.00 l S
+409.62 273.60 m 409.62 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 58.56 253.44 Tm (0.20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 107.04 253.44 Tm (0.25) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 155.53 253.44 Tm (0.30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 204.01 253.44 Tm (0.35) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 252.49 253.44 Tm (0.40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 300.98 253.44 Tm (0.45) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 349.46 253.44 Tm (0.50) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 397.94 253.44 Tm (0.55) Tj
+ET
+57.60 281.24 m 57.60 402.88 l S
+57.60 281.24 m 54.00 281.24 l S
+57.60 311.65 m 54.00 311.65 l S
+57.60 342.06 m 54.00 342.06 l S
+57.60 372.47 m 54.00 372.47 l S
+57.60 402.88 m 54.00 402.88 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 272.90 Tm (0.4) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 303.31 Tm (0.5) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 333.72 Tm (0.6) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 364.13 Tm (0.7) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 394.54 Tm (0.8) Tj
+ET
+57.60 273.60 m
+417.60 273.60 l
+417.60 403.20 l
+57.60 403.20 l
+57.60 273.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+Q q 0.00 0.00 432.00 216.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.40 199.38 26.09 re B
+57.60 93.70 288.00 26.09 re B
+57.60 125.01 108.48 26.09 re B
+57.60 156.31 168.06 26.09 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 63.11 Tm (\(0,0\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 125.72 Tm (\(1,0\)) Tj
+ET
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 147.53 196.57 Tm (Predicted Values: \(Y1,Y2\)|X) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.93 17.28 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 57.60 m 363.17 57.60 l S
+57.60 57.60 m 57.60 54.00 l S
+133.99 57.60 m 133.99 54.00 l S
+210.39 57.60 m 210.39 54.00 l S
+286.78 57.60 m 286.78 54.00 l S
+363.17 57.60 m 363.17 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 54.26 37.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 127.32 37.44 Tm (10) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 203.71 37.44 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 280.11 37.44 Tm (30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 356.50 37.44 Tm (40) Tj
+ET
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2089 0 obj
+<<
+/CreationDate (D:20070601023352)
+/ModDate (D:20070601023352)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2090 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2091 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2094 0 R
+>>
+endobj
+2092 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2094 0 R
+>>
+endobj
+2093 0 obj
+19276
+endobj
+2094 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2086 0 obj <<
+/D [2084 0 R /XYZ 72 720 null]
+>> endobj
+2087 0 obj <<
+/D [2084 0 R /XYZ 72 262.7 null]
+>> endobj
+2083 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F69 550 0 R /F142 743 0 R >>
+/XObject << /Im12 2082 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2097 0 obj <<
+/Length 2428      
+/Filter /FlateDecode
+>>
+stream
+xڵZKo#7��W�	�f�~�fr�n� ;@�"�aFnǚ�,�mg<��S�W�-����
��dU�
_���b���֌����j�(#\����P	C�?m�
�l� �~�	���5|���jh�!

����\�қ0��n�s�O8�6��	<nÏۑH��9��]�z�iih��C��̫��D������n�
H�㻫�/�}��q](E(M�k�ձ�d�s�W*�(���/Z�
��L�
^�65�����o
�r٢�IƉun�1I��~�C��_�B�̄&V'�ɶSRn�
l����4?������C���ۧ�Pw��}x���Ǵ:[g]“Q>����S�����K��%@;�.*��e�N�c����g�T�2)�;F	�����U*K����'

ij��[0&�����D%�݀
y70��'ޫ�y�΃҂����~
���y�H�1���W�؅�!�$�+~���������C��_
F^�GZ���IZ��G��\^_C�x,��]�2h)j1�ߕ/�Y��a�ʒK/S�S�����I]([���l��롈�O��3�AL��ŝ�8 m�)��
C�n.!k�-�aj����� W5���1z�У��2	R�Al�.䪟)�E�j:@�}\~[)���$�W�f���{&�b��f��)g�;� `2�|��q0|I?��� %�J�9�<R1
��b~��OB����⦅��jN��O��?��>�"��,���5�0�g Q���S� t�GX��
��G&
=����ѻL�_���,�Fq��1�.�C?
�̈́�"/�2�UT×�#�&_ڷ� ��d�[��NJ��qk�H'�7����9�pg7�Y�!(�3\�)��^�q�f�������GEY�U|ʢh���ת��y���B
8L�yn”�@�Q��;�
o�by�b�WQ�ga
'��1tv*j�-qC�P�a����S8�i�rtu�����[vI��a����α�,��L������T ��G.'{�/}��)��!�
+;P�@�D��6|�
M�~��U�/��	
���V������ߡI9hF��;�u��>4yA2�&���;7s��ė~��>᳜� �����fFX~��6EJ�����
vՉ&�cQ�
a�s�
>-��'*�n�]#=4],�m���8�m����#��6�}_�kY�ĺT��z�0�Q*��."�
l���9��,Ҩ��<S 
+a#)*N`��DSH�𺄩�u	m����-Ep�ךk�Nj�� Ŋ���. �B�(����V�,���@x#٤
��%��*��3��:�H[�&���P)�c��4
t��"b�{p���+b��j���dJ���A�cPI�~�J��<ꣵS��
��<Fz]o�S�P�QZQ���
 , ��y�@L���(��~�O�W@  �A����.Ae��
���
� 
�s��^*D$��!-�2���Eǩ@F�d]g-
+�Bfּ
������5
q��'!I8g_8M�R�ɮ���{W4���2'�/s�.�Ԧt=�?���洭��aC��Ǽ66���8��z���B���*���v����T��OGh�����/�?4�xa���wT�o؝?ot�[m�.�+�LV�XPt����
+[(�H���A8�[|�0G(���d7��.d�5�`p���Z�f`_  � `
 ��5�
&ס�P��B'�Z�\�R�7aY
"t8
kf"��
+��ế����h#�����U���U�<&X����4a�4<�_�#dM
�����I��lG�}X��P����`#�k�
+")���pY�?����S#ΰ::eT��$UeL�(A��PnX]��:��+TZ:7}>���"
�^��ǴK#Kx6o��KnƗ�

3��N�f���|q�Eĥ�B5- at vjCU�?��t���H��V�q�Ղ �i�i'Y����VQ:i�iC�� ƨ˵���S�i���Xa�B�l�
E�X���
V��~���/Wt��
+Ӆ]�g�#��ae(axy�ެ~X}�Iu�VW���'�:N��-1�^by�(�Jm��F�e����_�W+  w�!,*���qX�{��0p�
Z�
O�|#�=:8
+�n5<������sW���L/H�X�h�my%֦	�7beGa���c��%�Ȱ�`G,Y�]ō#Z�
l���&��
��é�z�k�������._�|;)M[IP	���+�H�/��i�M�[�/�b��V����������EŎ��K�Ԣߏ�'\1mC���N�"e��=�	�|-�zZ���	!�HV��_�
ǻm�}�2�����H�R+Q|��縪 ta�9Nv�m���9Bҳ�d�yC�h��Y�m�H��o��ǢP�-D��Xsœa���߿�U:�q�[��w�CՔN6��*��? �(�endstream
+endobj
+2096 0 obj <<
+/Type /Page
+/Contents 2097 0 R
+/Resources 2095 0 R
+/MediaBox [0 0 612 792]
+/Parent 2088 0 R
+/Annots [ 2099 0 R ]
+>> endobj
+2099 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [282.731 689.949 290.569 702.826]
+/Subtype /Link
+/A << /S /GoTo /D (Item.223) >>
+>> endobj
+2098 0 obj <<
+/D [2096 0 R /XYZ 72 720 null]
+>> endobj
+2100 0 obj <<
+/D [2096 0 R /XYZ 72 523.726 null]
+>> endobj
+2101 0 obj <<
+/D [2096 0 R /XYZ 72 165.82 null]
+>> endobj
+2095 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F167 1942 0 R /F114 560 0 R /F32 667 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R /F38 1435 0 R /F75 1442 0 R /F35 663 0 R /F72 1166 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2104 0 obj <<
+/Length 2613      
+/Filter /FlateDecode
+>>
+stream
+x��[Ks
��ﯘ��U
h����U\��J%�t��%�2)�\2��}�`��ʢ-
ȝ��t7��_��Nf�<�0F����E�(#�d��!T��������r�r���{�~��;���?�y?��a���n�߼q��_�����,���i���<
#�n��={�hA�o<M
�^�h�=>E�������S�W��WV��:��^�K1�}R�y2����
mZ&��k��M
m9����������B�2��kG���
����0+��c�r�hh4�ڍPD	�h���[�L�V��n�>C
k=�h���������0@�L G5��Ux�eI^�
�a@���vz��L�
+O��5*g
+�0��iMk�H�/�d�V��LRB)�g�H6X�BYJ�BY5m1C��񠕒�Ji�1�m��s%�|$a
DQ\OM =[O.
� 
+� ��H
dm&H��(QMd����y�ܙ���;I�r��h���_���ΈL6��_)�J���^��x�sl9a��k>I8[
�X�
+���<ހ&T�M�����
*.�#������mK
+�yA�,���m:3é
^�����J����?�5�
�
2�PTD��c�wIQ3E� ��]��X��b ����<ksD��n
�5"Lj�<Қ^-�%<�#����6I�׺ؽ�L�(�6���1��#h�#�*�P��f�L�V�;<��#<��c�G�6k<<Z�<R����A� l4��}��qOx
�U�G�
^��ʌ�j��Q�ȏ-v|�/
ņ�ڢl!)O��8G;��w�c�Ɖ��a
�
��(��bx{���
�<n��B-W�!�VP"
��+ء|?�s���ʬc��L|~ڕ�+�D��P:EB�;���f�1T��b5�w�U�A�w��
)����c��S�
/��p
g�ߣ������%�˯��N*���#CTQ�]ŞJ�7�k*�ws��7R["���&>Kݑ�0���a��qi`N�TLFZ�n�-� D#�z-���N���n}���5Z�=�8��h_!�~�4��}
V5C�����Upc���M��!
+q�z.�ᝢ�3�
�um��J�0W���߷J
�&k��=%?��[lg��L�
�w�2�qz�h!-��^�^۸�G�-�
%����%���۠��XW>�b<��S�Y�„�PDD�*r���BDi!�~W/����U߁�Eu�n���@¸�|���T����H�h��$�*��s
��Q���f�N ;N�u�;����"�7����m5�P"�$����U9��V^�H������~uWa̋ۉu�����=tA
!’n�A�FַU�
+g���巎�C08���/@nG�
��)����W��v׌�/������u�#�b�c@��i
����ӛ��`��n�1�dΨ1Ozڰ��gߟ�\.Cր��|�P -���ٯ���is>��3J�6��Ɣ���z�p�����j���?:bm��f�
�#�0
�8OF�YQ��3��&d�8{�YG��G�w`�U8	��U��Z�O���I	�v�� ��\�*���G8ҧR�#�LO�D���{)��Ύ�y�K��݅�S��#TV����K� ����#!��|$-��L��m�:�����E����bc5�2��Y�$��;�Z�{ڕ8���M ��#�j{b
<��fǐb���b��B�*+m�K�
-kc�c������g�"''���#~��!k�~
�U�0��R��%̮U�^�r����#-���aŢ�τ��ZF���i�o$>5� �|�q���Q����4�Y��J��S��a6���zЍ�i�_��l�O���O�u�F��i��)�Ho at zS�7�Q���}��Ȼb��Z�@�u
��4��;�v\
���
+qOt�|Y�8F%
�09�$�b�3
xlÓ�Ӫ�蠯ԶkG�NقH [�Y�:��5�w���]���|�qY�䲠z�h>�5�l�'%�c;a\\��H���ﲬ�
[-���z�
��g'���@�p�l���P�d�`�)�e��P�O��f�/N��� ��
+��K4g[����(�a�[t�_:���B�J���A�ƀ�_
ê]�,f"��“˖O���ܻY���=��*�k�
��w�;�&�h��;�o
�L�Ͳ�����c�����z�#�8��q
�A�8�h�����չ8M��}�
 �� �=��ՀC��Tv:�_}��P�2Jh�$KU"'R�߬��:+v�4m�]t��<B�:���v�[���p
ۋn�r��9Nk������`�����e�Y}̚�Z�Q뻾_��P��i���n�Ÿ-���*�4�*����*ӋO4K��B>�ZH�k��e��R-��(�kO9Z�h�	�.\�g���h�}�>�<Su�K���Ru�
/.7��rcaUnMvQ�,_�rC�n1�4��dww��K9�׭2�8_g4&n�vw��團�҃3�@�ͨ�R����_5e�e��O����;|��݌3vЄQ]���:}a������t�1���
�ǃq��jp�u\�y��>�^1@����qSs8���y7��I�͖T]
��3��&��5&MD\6wy�J��
�)sendstream
+endobj
+2103 0 obj <<
+/Type /Page
+/Contents 2104 0 R
+/Resources 2102 0 R
+/MediaBox [0 0 612 792]
+/Parent 2088 0 R
+>> endobj
+2105 0 obj <<
+/D [2103 0 R /XYZ 72 720 null]
+>> endobj
+2102 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F75 1442 0 R /F35 663 0 R /F38 1435 0 R /F149 920 0 R /F126 638 0 R /F73 1467 0 R /F53 1695 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2108 0 obj <<
+/Length 2522      
+/Filter /FlateDecode
+>>
+stream
+x��ZIo#����0}����}�d	0}�e��	��s��R���%�� �=��K�%��I�kyE>��{������sw�qJ]\n.e�kua�%T£�?fϟ�l�=�?�^�����_I7Iw���
C��%��v��qI�����
C$l��°�2���'����?b3��W��κ/p}���.���wW�>͕��o#�U���4|���(�q�4��0��S���dҌ7��v�-�!��hCl�	�_-6�U!�`FX ��,0�D����
�
����a�
���4�+����_%���w�1W�/-��̾��>p�5ݓ��X7��ܲ=u��uX'�!�
+q�B}R�Y�E��4


��@[�ߦ����Q�
��=��V�4�8�v<���,X;�K0A���h�AԂXi�Ƙ�
�-'\�V���S�mOq��+�}n��Ѵ� k�l�
����F�13�
�7`ѢR��]%K�F�Z�xa�v��%
�
+����F�n
��q=h���'ٴܚs�`Y�|�Q��W�X�&2d�.Ƭ
וl�g4�|,���
�׎&�p��GP�&��:�
U�ɍEF��1Nv���7�/|�=y���Y�(b��ꃫ�w� ��#�eZ��w!}���a���1�J�F���Β\����\��������97a�u�
+�[
�0�N	��W����@���`��A4a���ɛ�g��s�� ���=]ߘD�]F�!.�}:�-l-%\�+
��PQP�@���]G9
�n�̆@\g�eaR}�
m��
�6	[ܴ��9i��W?]X
x3-���tϐ�г�sˣ���$���,

+���:8������p���d�.�
+��R�� #�˃����"\��Z
s�G܃��S��b��K���M
q����?��� w_�����Z�_&�oh�Jf	q����طm)�	 �:����@�)x���-�#��H�����	ݴ�h����e$ ЄꮢM�9�
F0��LB����B"
:S��}6&5f1�
+� ��nO�-f81:%�U��Cg�����v�h�
Md������ye
��
�Ӟ�fo#k�a�1J4���+Cg&{T
���2�C�Dܔ �.��	��.�ҰiO7b6d�Z|�g-�J����|����Մf���hE��R�O
�b��ӕ` '��<�N
"#�I�gPS:�"�o[�A��O^z��P^ V
TRT<����]�I����%,�9��*� ����A��{�j�����	�`�K��9A��Y�_yiB�R�y!�
��,��}�V�#>z�XzR��pY�'���Gp_aoq_�C"W8�ڈ�Z����x��~�5͈e����e��U!�Se�hU�F��p|�
��eڳ����
Z�
2���#8?.�M;vq��ϧ\K��pB
+�X+k),��]���ʐI���&Z��>P��>� R$VF��0��'בnR
_�{3�NYN�߸n�P	`��:�'�$�eY5����p�
��N�C����u�-��G��#Ե���'��4���[���
Q5l�#Q�������F" o)��t܇}n��<�2�t���C����eN8
�&�u�uL�p��|�g�r�`*�Z.
�h�?u]DV�H6��:�6aO�����T.=9���r�#L
�|��|�B�3���㇨�fea���:���ؘ��
҇��w��9Ss_��.&�)!�W�9�FD�ٚ�����������3ͤ�I�h�ǜ��'P�t�#��C�j�_o��
�Z��Oq
���
�Kx�g��~?�6�, at K[֍{%��P�" �/��
��A[���ÿFUBQB��*��w���:�rh���T4y��,�	��H��Gu�ܷ���ۀ����F[�[�
8{�~Wu����X�?T/
>il���G��#��
�"v��k�72s����s
+e����v���>�|@�ˬ���sk�f�
{���]լ٧8�'!GYz�S�t�
���^����������ty�i[�9뎚OZ at 1"� ��9�}2����w��]
k:��Ns�/j:�Qx7��n��
	K�����A�<��q������>�P��9J(��Z�1 ���Þ��ڑ��`�:�y�N9��!�p@�H��!�RK{
�9�%��)F���a�:/N:T�"���N$xI��
��M����.o����9cOe7�(�+l��N<
��!�]|rx�5҉��m�V�[u=�������
4A�<<*䉹��8�ۘs���IYU����`��Wa됩t���p��VO1��&���>e��
8�S�MV�,����d��w�<S�!l$֣�F��6��L�}��Ҳ�o�z�OW
s�6&q�0}nW����t(�
���I'��P
���tH>���S�2�?߆��2�;�d��P6��U1��L��|hb��n�|K�m��U~����Kf(�L��{����7��͏�o�"��endstream
+endobj
+2107 0 obj <<
+/Type /Page
+/Contents 2108 0 R
+/Resources 2106 0 R
+/MediaBox [0 0 612 792]
+/Parent 2088 0 R
+>> endobj
+2109 0 obj <<
+/D [2107 0 R /XYZ 72 720 null]
+>> endobj
+2110 0 obj <<
+/D [2107 0 R /XYZ 72 606.338 null]
+>> endobj
+2106 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F53 1695 0 R /F114 560 0 R /F126 638 0 R /F149 920 0 R /F35 663 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2113 0 obj <<
+/Length 1480      
+/Filter /FlateDecode
+>>
+stream
+x��XYo�6~��X}� /#����A�&�Ѡ޶h�>�Z����wș���l'EQ�^����}s��MN�}/e<�R�ƌ&3x�E
'�4�D����s���
��+��I�(r�C,a|
cc�*�(�H�ʐ�Y8�34 ��Q�cm���6֡ʂ<�`!
+US����*�1��a�
NMioXҕ]�6�$�ve��G���N���F���qM�&��6�[�hq�uJC�݆�8V��:�ј�2&�[�Իp���*�V1K�� 
	��ȹ�/#���*�SߒRp�ԛ��
2���� +=
���D,%<�"{_O��_@$�{��=A$p�6�o������o�x��#�᯦X���9���;T��km1��-����*	������!��������Cp`!��"��ﰈ.f�笯��:�c�US΄���1뀝
W.�
�{`e?�
��=f̞5�	�o7O�[i�P<�����>[[a'�F��}�Te=V?�߿��X���"��	����0���:���	���k��X���hk���N�
*��hw�ޖƓ���CC��z �h4�4#
�e�
����$'g�(�;N��X2��@~8�����	ޡ�խ�Y�c�4�%Ti���E_���7|�y�@��x
w�-ѥh��-�����MX:x�b:�d�\���'�+XvD=^܃с�,�9q�
�@�@'ʜ�����D�����	��C�����R�!���D��`D4�k^���S{*\Im[����צ٧1����Mb���R8;���G2W�O��'6�[�WF2�$�;nz
+��8����7ND
s��l�fY7�2�ޮXa�w������ ���f>X�5dMNj��f?������
#v�Xb��ç�H����z�d*(;<�!
t����!�H�0��ok�@�"����c��DpܼK8�j�]j4�ip�����
+ at 4���ZQ�8��c��4��F�7�(���m�s>��c
Hg�G���/˼SO��pT*��K��)9����i٩f��\���^V}�����g4����oѩ�G:�݇+

��&?Ys�c�(`��Lr�
���KR^Ӊ:�vR��j�J
�B@;��
�/���:�[����G�
���ꦤ�ϵ�eB�z�B
���k6$�nw�$���̮���ݪXnl�;i��f�*^��K
��v
)ĉ^�r�L����n1TR�+Y���D%Y�n�qKY5�R���ϛއ�
t$5�.�P�5��:�F~��Ĥe����e�6ι��>�����n��(onG��0 '�ջ^��_/:
 $t��wU�
bC1

��w�<�MutLYLґ��U�H
P��e=0��) �b��48��o�az�m-N�-������Sn�'�l�o|��IP�^ཱུ·7�)|�
β�`�ޏ���E��t�
��c������-����9������q�~��3�! ��J���u� ����2�Y������!�t[endstream
+endobj
+2112 0 obj <<
+/Type /Page
+/Contents 2113 0 R
+/Resources 2111 0 R
+/MediaBox [0 0 612 792]
+/Parent 2088 0 R
+/Annots [ 2116 0 R ]
+>> endobj
+2116 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [283.063 456.977 477.677 470.811]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
+>> endobj
+2114 0 obj <<
+/D [2112 0 R /XYZ 72 720 null]
+>> endobj
+2115 0 obj <<
+/D [2112 0 R /XYZ 72 567.562 null]
+>> endobj
+2111 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2119 0 obj <<
+/Length 2141      
+/Filter /FlateDecode
+>>
+stream
+x��Z�o�6߿"8�8�y��T�
���b��E��S{�-o��G`%ۤ��;C%R��x��=(���p���o�T��y���B�
���fy���%���b"
+	�KO�s�
�K��ŜU�K� �"�\�pm����wsҒ�Z�L���|1�j功@�{l�����d*uU����N��ś�
�p���r�}�w�s	�=���k4�bJ�O�`�(�	׻�T�bQ�������xc�4穴L��w��8�%�Ů���l��lْ]5�̟���sK��
���w�/�܎do|i^mH�>�wD
U6�(�GBM����u��7n8yΔ	�:f���2���2�It����`����8Z�D�������c΁ÄfZ�0��G�t���%M����� �
+&��%�iL�ף�
-w
W0ā��dZZ7�^�������厕N��װ�$�P��#��I�ó:j�.!��p�f�?�plV�W���`k��e��2Y�TL�
�C�T$"Q�^HО-$��M����h��U ����/�E�D���i
5ͱ�eX8! ��'�6~ UN5�ws�5
����3��诈]���8�&X
W�Ÿ7����w��WבC���v��cxsuGs

�tFou�tU�i
+�c���>����L�-�D?��68�m��bT�:��v���h�1��Θ�RĔg`z
+��4
���3����x�AWo'�,blk?����*RP��X�G� =���I��C̢p�9�,��(��u���)-�#8�Ap{Œ�6��*r�a:�U
���4? Df�ɽXڞՋ�8�
.~h_�Rs����R�*Oc�h���T܆�He�<�H�nc��.zI?��V�)��;J��U�&W�>��Xq��l���Α&s�M��Ռ� �z��T����!�TG�OI��v�:9���dj�*��w�Ch�n��D�P -�Zd���^�%�{�ࣈ��-��'/�o?�ZD����U|�/p}Oץ'3�f�J�74�Ek~���r
�U���
+^��d�"!�Y6���@HjF�� 8�}��nQ?�fk�2D�Q,}�
K�>�p-?S�7�\x�M�;OO"2��	<e�<
F{�����I������R�M
+>�����!B�d	�B2�CZ
6U"F��U�G��
Y��w;B�L��fbၜ
+�����:�S3����j�X�	�bV �{R�;(#sN�e^�8K׫�&�z
[�¸l��ƶ}
U�����E��{�1�au�I�3߆z8��z;L\�ԋ���h�R��.�i^�<��>=���qB	����H8Y>NV����F���6����p��O��噫�+0��x����#�������cU/��o�Ц�2���}H��F�xд�!욝
��Nԍ4dV7��#{ƮT5�*�-�&.M�T��WB���>��GV���R�LG%���`b�qujI���;H�Xc��Ʋ�tYZ�P"x
Ἁ��<����
�q�<4��b��/
���w*�a
+
����Ū?��N$�lؼ4~G�83��I
�h
:�*fytđڹ+V2K���C�����OE��w�qS�%��a���Fr�{�'UU����NQ2Ѯ�3��s����u�KO�r2H��:4B�V %3���(��}�F�������|{��f�/�Ք��Ӌ���ܰϲ�!v
+V���C��sv��>>>�U�U������|H�v��x�����#�
:�CQZ#�i9#֣����6���m��l�Kf�>?�nh
�	b�gʿ�����m1oF��S���B
1)�O�{#c�ރ�%
���%
��O"�g�����:_
3 �d ����Gz
՝�[w4�
e��ޝ����~J��8̢=�����X�`ӟb�M
��O�G�O
��x&���O��X��=����N؞
��QRB����+�d�M
�l�#���fիI���
:�^i��é
�wh�y�P��Apd0܊�}�����=����)�m!�L��8�H�N��%���{�[�������S��dǙ�]����~ �V0?�:N+�Ai�ҖY�!�
M/~x�����3
+�3��;��
�͟��.*\u(�'���[�@�L��`�J,��0���W��G�2����c����pU(���ͫ� d,��endstream
+endobj
+2118 0 obj <<
+/Type /Page
+/Contents 2119 0 R
+/Resources 2117 0 R
+/MediaBox [0 0 612 792]
+/Parent 2088 0 R
+/Annots [ 2121 0 R 2122 0 R ]
+>> endobj
+2121 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [151.621 583.644 174.391 597.478]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.5) >>
+>> endobj
+2122 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [116.457 569.198 139.227 583.032]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.6) >>
+>> endobj
+2120 0 obj <<
+/D [2118 0 R /XYZ 72 720 null]
+>> endobj
+342 0 obj <<
+/D [2118 0 R /XYZ 72 720 null]
+>> endobj
+2123 0 obj <<
+/D [2118 0 R /XYZ 72 532 null]
+>> endobj
+2124 0 obj <<
+/D [2118 0 R /XYZ 72 435.353 null]
+>> endobj
+2125 0 obj <<
+/D [2118 0 R /XYZ 72 289.888 null]
+>> endobj
+2117 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F158 1216 0 R /F35 663 0 R /F149 920 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2128 0 obj <<
+/Length 2330      
+/Filter /FlateDecode
+>>
+stream
+x��ZKs��ϯ�!�j��Mr�r�Lm6���!��
29�2e��c9�<ޙ_�n�(Ғ��a�H��h6��h�����e��R�qnv��Սp~V�ZH

W���J.�}�7��>���J��
B�B�[������j+\M��Kk��k۫��5���
��� �7AQx���
+���W�Q�s|u����!<���b����G�ר����@��Y���/�qPw�AA�x:�[���>_�����7�
ľ�n���G
����
���*���>|��]���Wv�~�RxSϖ�
+pcP�)�&����p����s�.���߄Qt�^�J��
+�$wU��v�48�[m]���ل����'�w�o>��&���
N�㖾�W{Eזtm����o���8��t`�.�&w�kԷ��I�6�Lכ�
wd�MDZ�b��HY�OP0�������@Tb>g�/# �BY��Q�!A���
G�{p97]��R�1J�Ɩ*
+S�)Y �'bl��a
�����*@�[s�%�2b��r�)`V���t�g�>&�v
����q�� ckF
x�fM�y�w��aN�A��<� ��
<��%ʥ9�4'��UQ��9aAt�W��
����a~<�6�h��!�ȐVT�6� '�Zg$�'8��¹D6=�l{�I��n�j�uAtͳq�
Ұ������-q�M��āce��DK��pRqAA��1��Lde�Iz�`%{�S��1��H�6N4�5�jQ#�	(-�z@�9�?J'�a]�,3�ܛ4��ky��8�+"��]������VY2�J��V�J_L~�Yb�iY[����l=$��χ^t˴	 ׮�S�mU����N�
���f��qJ(M3�
Ʀ^i�Q�1-^g2%�%J�І~}�%��f:F
qBKNz٤����

��{~uʼn��;@���0������@O}�`u�7ޏ�a#j��0�"��ͣ�P��nf�̟F�p�N����{ڮ��[C�f
S~�B
;c�)��~b���
+`���ڋ�dE���8%�푬���H+��Nc��X	Ykp�159 0�|��`��$�:���W:�	�+�'��M$���}pN��\xȀB5�i?�&QIH��l���
A�yS�I�П~��\t��|�q*�2�J��0da�׭9����I@� �*]*3���A��Į#�DӀ4�J�;���t	��K���6
�� ����k#W RV��o����ULY,V&���Δ��:��-S��cJ�?`J�;S��)�W ҿ
S��L9Z��g��N�"�
\�5VC������b�	��^�A���	�7T�
��xK�3\�߫�P�ky��~]���'^+�E�����L�Tp�=���Gʇ
��y î
+��3��q1 >�nF�$�R�
�N�
��
��Hػl���ب
ߩ$٨��j��F}?sX}B�*A�w��_h�\�(�隷��N3��W����=�U�}��`7.etyy�2md˾���7D����+7�85�p* ?��[�I��.'0f
"��
�.�!Xq����cHś
��|�'�3�M����R�ӖC(9�� �E���0 [3
�1���&E��������H[2JU��$�Rᔎ���kҹcH� 
�	�oZJ�&/?��'�Y�nUB���e@�Qَ�o�b��R�]
+�i�k �4:+�7}�

?��^H��N�1+gt�4���\g;��D��%�ԫ�R�c`�iVu{+��� �r
^�v^�H��ԞCa(�

+
�d58|�O�<>'
aԒ}ߖGv�F��N��0.i�U^φ|�vyU����Sˮ��Uq��r���5U������&co�'��f-Y��ݎ=ω-�
X�,���k
n'c��Ǜ�4�>'C���RC�K�h	Q�y�:k-T��Z��B
�sX������ �������ަM���H

���oOE���f�!/?��u
;�_
Z!j��fu>��o'���}#d�
>�#�>[
/]5�>���u�"f
Hi�Ȯ�Oֱ[��@(�vE�/xM���j[>g�q���NoѺ>h�C~
+M@-��&�\g6]r5�j�1lN�6���m�fx����Tyt�6;�	�<o��<��(T6O
�IwDe�4���
D����yk�ҟC������[f7��
�T2��p^xSe�_�|�.L���N �Z����a�O�,�S��?>���P0A��.��������
���bx
هas܃t��\nW�������f���K_"�:E:����(���c
+��5�d�t>��;�>�^&��/���Zʦ�|��U��2�v/����	
���p�P�-ֻB�����8�aLendstream
+endobj
+2127 0 obj <<
+/Type /Page
+/Contents 2128 0 R
+/Resources 2126 0 R
+/MediaBox [0 0 612 792]
+/Parent 2131 0 R
+>> endobj
+2129 0 obj <<
+/D [2127 0 R /XYZ 72 720 null]
+>> endobj
+2130 0 obj <<
+/D [2127 0 R /XYZ 72 357.024 null]
+>> endobj
+2126 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F69 550 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2134 0 obj <<
+/Length 1175      
+/Filter /FlateDecode
+>>
+stream
+xڵ�n�6�0z��W�DI\�
t�,�E�C랺=�!?�dXv���o�(Q6-ۇ=P��3�ys�i|��sbZ+k�`�ɠ�Kg�7�k�e1���
�#=\��6�a��5/�gX��
���gFH�������s4�UR��C|�-�-�$�p",���Y[f���l�G��=
īj�[�����_��I�)�&�J�t��S�ۈlk���c�L�"�B4�y��������\�2}̕4�8��Z��'E�.T��A�3�e9qy#�A�bׯ��y�!�R�L�P�0��2�����h�͞BQ˘$�I֚��]���/.+��R(Вt\ e�V6B&�SU�����4|j�[
+�E�eVFk��1H�:usg�ې(���
��MJ�Ղ�� ��e�EYjU�tcᄀ`c+({�RH8���+�pQ�r��0��K^i��%DX�uS
�
��QT��[�h������*S;��Z�� �=k9٣T+mR��n/�P��{.&�3GC�$@�v�d8�h;��
j:�E�:\��Y��v�l���V�fX5�	��ڢ��J�e]���U�\
z�0P�P��xIzD/a�Ǹ�>*�mɆn�s��㐊D�ꞑv��L�
�e
+W���.�_��n}�N��K���$�ZLqqd�79ыf��Wa�q�h�(Z���-4η���A��iOx�|�BtK��V���<_�N.�Mt9�5���u�
��J(�<��[�'����Ѧ�O���� D8��+�SW|8j=c���Ow^�4F��p�E�/A\y�G�����e�2./ýT�۶�����P������l
Wy�y)`n��~��o��'5K�/97��&�X�[wwq"J=t���k
+�K��E��r����{$iyD)tKg��@�_�

7��k�Ƕ��Z2���`ɩ�Q�&��
A�y5�(�z��/��������=/�������:�u�3��l��O=c��^~����]��}��}}Y*��*y(ț_��s
�{J�hˌ]�t���#�t
W�{�z���r��
+���Sy��qQ ����qGD��I+��;�,v�u��:��/�wwdb�8�ڔ��τ�it�7����
+�a��z�
����]�i�_4��5)`���5��x'�R�i�.�]
7w���/8endstream
+endobj
+2133 0 obj <<
+/Type /Page
+/Contents 2134 0 R
+/Resources 2132 0 R
+/MediaBox [0 0 612 792]
+/Parent 2131 0 R
+>> endobj
+2135 0 obj <<
+/D [2133 0 R /XYZ 72 720 null]
+>> endobj
+2136 0 obj <<
+/D [2133 0 R /XYZ 72 623.524 null]
+>> endobj
+2137 0 obj <<
+/D [2133 0 R /XYZ 72 628.506 null]
+>> endobj
+2132 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2140 0 obj <<
+/Length 2953      
+/Filter /FlateDecode
+>>
+stream
+x��[Ks���W�(U��;��L*[���֦�J�=hey���d�3�>�x� ��-M&Y��_7��g�~dL�#N�����𙡖P	w����z�h�_�7���z�#wYY:k8'L_�O�
6�����\�g�]4Ұ�#\_�=�����������M|�cx��Ƅ�cB�44��]P�+1(��2<4�
+vA3hG�؃�/��K��

ˍ��c�X�ċM(�l
_+���֟c�[�<��Ȣ���Dž�󬽵�}�
�
+}�5Lj"$�
"����
��=J&=DK��U4M0:���x��<��1b����T 6D�����3g�z�%ܤz�/���{���ˤ���LJJS�ڎ�wh��G@� �2v�c�2���f)�F�j#�Aǜ�ǒpn�Η��N�XXow� F�!f<�z�����91�vz#>���V��H�Q\�a����
Qr�M� ��XfS�O�ԧh[�Kx�g��I�8-�;���S�],�����u����-���Fp5_��H�~�U�����
+R��|��k�rZ�p�&�t+��0o���N�V�����r�UG��`��?��1x�΀�Fh�	���ٿ�~���.���3x�����sP�6^Enn��~����&��t�}@QXč&�^��0ς�?Gn�caY�.��a����=�r��q�GA��5��;X�,�q{Ɣ%̪x��
r� ���k��*4SD�0�6I6���tp����X#���,yj��Bn�8]':��%a����p$�Q��1 L�
(��9�$�),�X�
�&C5��n�\e%(�A�
�M]ed��>i9J&��|�Lz�Lv������\���R���dT�"z/�D
+�6_(xz�:�, at b9,'gv�,�C�
U�
�l6�W�V�
i�a]��A�!���t���{V;"`o1"
�G�
+��PNRO,x�4�F4(b!ZV�
�P@�kQ��X1%0�o	Vx�NDLf���F
���H
��mH@��UfD
���c�f��}�e}��/�N
�uLG��U
+�ڤ�.<����j�;)
k�[d�Hx�/W����߅�KZ�$���"��I\ѐ���ki��
��|����Vif!\:x}	/��u�M��)��LR���2.���S�q�u���C�y��sl�e
]��Z�tL�P��-�Cͥp`����W� ���8��Z�
"1�
+�:+�+��0޾:����
�`oIid�
�/
>OS2��H���H����2�KmJ�`�<S�h����=��7�|Y

�A
�h+��d�+���ߗMl�v2�E��k�p_6�-�b,�Z��<�.�]�˂��
cf,���	��cI
��i�k�%��
novp�76ѓa�`�`^���p*O��O�m�fu'NJ��
b�eV\��JC�=n
�3[e�`�C at 8=E�N:@	�ݞ
�(&_�Z>� �#g+Ips�1��\Xb
+�:W��2Zo3�
7���$,�atJ�]�C����|�o��4,�^ݷ[�]p�ן��Upq�d��em���㥡�B��L�U���u��,*�y�m���
��;��l�}0��2�b?k
c�T���!/�9Cmί;��d1�$�2-����������f�o����u��{��ʼn�	@��U���\�m�I���)nb�w��{�
P�
0�
�N�A�e
?8K3g*�W5��-���yk�4+�@�7I/(�{��Ŋ鬽��t�Dk1�]hI�炊*�
��.�i��0��wh��];���e��)"��]�oWUǕ��eC�ۡ
+�v�Uw�$����}���Q �jd�v�
��|��bp��l����86.y&m⸄��_�w���b���ݸq‹�ˏ �(�W >
+���eRV^"`�j��>g�J%�W��n��Xrǰ,��{�����<�����Ev��C�
xh�*���l���v���A ��]x��:��{���A9��_
^ ��
�B�y"��	3�Q�s��2�����xB��Z�IU�C��NE-�ٮ��<8p����vܘ/U��
P��*��s��g�����
+c�1;Q�s�rxZy���o�܋�xەυ����P5���)-\�S�2	�)�j4@��:*��03�����q}�|��ք��^��o
e�h��>
ܧ
g�D�SZޗ�>����`�%���??�f�#֘��W�ncw+�ꤡ=4@��.`���mZi�v&���(�x������beMV��Ɏ�I
�����]�����Fp��c0�1q��Q#��
V��0��1���Ω�V���h_�S�M��xJ�X�j+`���l�9B���A� ��r��"�,x?��f��[|�8�ʃ��v[x18�J�A�2jN'2�rӕ@��T��1K�N޽�x �^�g
+�ze
+S�6
��2�N1���Q�
J9�n7g�
����U�8w��6c�6��l��M�U������
�
��"�G�S$�S�e����.�i��D�϶9�25Y�#�H{$|�F}�Z֖M�#�k�O���̧kv��fG���֪�n�@��
I�:W
�>�,��5���_sVճ�����ޜ�m�2˅	gq*�p�:��k�|���"��2�Vo�V��U�iq
��KD�ӳb6�AգJ��p���|(_K��/Ȇ_P!�l1^4v��4!��
����"��ؽ��˅_�Pf���L�S�3��aکq��[)�-U�d���!�&�G,Jx
+W��(�L�e{ &�@޹b���2
+�g��ԝ�W� (�2=���B�buA�����3%
N�x0�r9V�~�R������J�qWdJ��]*��M
���ڨ='ӛ�����*����ˢaB׽h	��
�@ɢF�W#��Y�d����L+�;�+1�)���Ď��SbV��䔺�;%�@H���$�M�$;�&c?�'�����
���$�U];�KE�\R�#������L��X��E��q����"
endstream
+endobj
+2139 0 obj <<
+/Type /Page
+/Contents 2140 0 R
+/Resources 2138 0 R
+/MediaBox [0 0 612 792]
+/Parent 2131 0 R
+>> endobj
+2141 0 obj <<
+/D [2139 0 R /XYZ 72 720 null]
+>> endobj
+2142 0 obj <<
+/D [2139 0 R /XYZ 72 700.334 null]
+>> endobj
+2138 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F35 663 0 R /F32 667 0 R /F69 550 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F38 1435 0 R /F75 1442 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2145 0 obj <<
+/Length 2759      
+/Filter /FlateDecode
+>>
+stream
+x���n#��ί HD]�ګ<q2A��v`%��#5G
����Q���^m]լ&��
r����z�Z��������)%V���zN[J��s��
+xt����fI��-����לe_pAS�ց���%9�4���"�eíZ�*k1N�6�1 �
��F\oږU֠�H6Xc�"QT�; h{�C���H��l? �
>���MK���:@����}��� �-�
Qt�Kf
�]�d������fsM����HPEC��܁�w5�a��{�7�l+��q�+26�ޫ
+�6����	'F� P#R�d�Q/����S�!M�%V�^�5�,a6���
�}��}�D�7�ºR�r��
$*�{��Zǯ�w���Z������h:k�4
���!إ���a*YZ��{g� ?fq%=D�dz�m�
���ܛ�w�b�!
V(W�u�x�� $�#��8����I�+0�
+�O�5Τ����pc�E�L@�Lɱ��h��֑�P�l *E�3Z& ���tGe�ہ3f�+"�
�9+=QX]}�e�I��D�G=Y6���GP�U�v��VA8�z܆_��}�.5uY0��$���@�����: �m��h5/ٶB�������Lo���J2�%|%t��Qr�$v��Ϲ�
��q�	�1sM, T&/���6ĝ}"D�C���̴rM�av�0	K:Jn�j���x�ȹk�R��W
�u:2ZSI��b���*
+m(Ob��yy\�6��1���S��b�ۘ��^`�4�X�iVgζ:
ne�����L
+J�DJ��]A�#wFxHj�
�
��9�'��*�Ʋ\vE!@%�Ld$��A5�4���ޓ�����
c��s�1�0�2>�
+�
�1V�=��
��I�V��̒���O�3�8�s��&檵Ĵz~u7�e�����z�ο��|�6~������͠�5�T��������ZM\��V����J9IJ��Ff�8�O�41S�ʩLx�oyox
k}�g�\!5�g
����
�:���Yeٔe0��$�����XѺ��dF��P
�`��9?�c
��.<����!x�^�!�����D��v�!�j�
b��`ēy���Y�Qa�S:� -�

r�OzҤ��5��=5�
4���bU�u�G52�a��h���M'����?����E�����&�١\�OO��(6��Ee�7Yڅ��}j�B���0��gGk���@k�w���Z�
+��lR�Qix,�2�\����zR'�'u�S#Ƨ#++�
+M�Ů������%+�D�6��u|�z�^5ߺv^Љ�M�7?R�
N�T�C�R��+�]�L��<��`���.���.*X!P���I�Ǡ秐����U�����>љ(�>cgB�Xg�W8����ނvhQ�<`ɢW��FΫ�3�GBS�K�B���4j�ʅ�N��L����D�mur��jz�3��	(�G&�Fqf�V���0��(f�:h�J�ߣ���'ԗ�,�臦ݮ:�n�/j�k�Ocq���K��Un6�/����0V`7��W?��+���VYn��埜���� K ���Sc��[>����D�s
��iы�k��{&�Fq�x�4l��%���W]��,�?Ƙ���&V��
+��A���WA�L
�������e#)_���t�
���|wJ���ry��M�[?A��r�����wp���������:����������$e
���].�z͖�]x�	�"�K6žK�6�r���X�.,PB~+�u�8~
+{hVҖ�TmiA𾰉��*U�P�4�)��F��VA{�=�d�O��b
+�.���t(

���yt��o�T�	�ru��wR���;��!������M�>�
D� ��.���9�:�_8l�èY���
��;���5ڥj-�w���b�'�>@��䥨��V����
ַ@�C��ק�„
+ǎ]|��!(q
��?n��� _�#���j���+m�ֺY�`�dQ�߯�O� ���ɳ����.JO��n��QY�L,~ӯ�j
+j
�vs=�!A��N��c��>�g�z�G64��#q'�g\2���w�!)ky��2\�C�W��/�eR�G�P66Q?����6w������	 �=y��	Y(9)��h�m]�n�Kv1bP��.n/�Z�4<8�5�/��]�k�`Pm�99��:XdQ�
˛"%½K������g�Ϡ�E��e
+�o�r<���
>60��+p*��kIF�
��	�8{1,����Ld
!�S�-4�z����P��q�O	h-ˀ���<��A�����u�9��nC�
���킺�d�b16�M u��j��tI���-“BH�
b޺p�„FzHH�T�)�]p��o�ϴ�m���\�վ��ۨ�t|/��
+�۬_.��Œf>6�ת&l���O�#ζ�H
ø��
��XIR
j �Y���eGOG�綪C�����(�xɇ���'aFO��lQ��+F
��
+��y5��we�m	k�w��P)�
7Ձ!
�v����g�<!�!x�V�)	�r�)FM��)3���u
�-�_���#TTC�̇��Ϟ^�S���~��srE��0�6n>�?:;�~z
+e�
A)2�o�"]���s:j��=�ZM�W�a/�E�c������}՝$$L{�ȵu���M�K�N�q�ʑ�^3� �\��c�IW;,<yd�F�t�����K�4]OK�!��㚯�
U�
U����S/Ýv�gYU�X���.�U( <��8
�A8���H�o;��endstream
+endobj
+2144 0 obj <<
+/Type /Page
+/Contents 2145 0 R
+/Resources 2143 0 R
+/MediaBox [0 0 612 792]
+/Parent 2131 0 R
+>> endobj
+2146 0 obj <<
+/D [2144 0 R /XYZ 72 720 null]
+>> endobj
+2147 0 obj <<
+/D [2144 0 R /XYZ 72 437.156 null]
+>> endobj
+2143 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R /F38 1435 0 R /F75 1442 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2150 0 obj <<
+/Length 2291      
+/Filter /FlateDecode
+>>
+stream
+x��Y_s۸ϧ�t�@M-
��>8Nr�s�K{ng�M���ȒO��s���bwA l����
d�b��?�݅_�?��j'R�֘���D*+J�Llو��O��,:�]ï�3�i�uc7T�^��,v�z�gdq�a�k��������Z�:�YK!�vR�7 at V�o�{��
+��R�����+^�$��PZ����YU��y$��Ҕ��
+e�Q�C��0�����3�L!����
+Fml2�Q��l�HaJ�ȖF4��6[�F5��@��^�h��īQ�Θ
�y2���*��LV��jdJ�
J$M�y���n��jbEk
�Ӗ�TB���h�RԵ��`L𐁬���(�G	�h�~�ȍP�7�A	�2w�V(e����Lֶx�
5=�|KsV�J�m

�X

ʪ�n���dC �k�'0L�P+E���J���1�"�oQhr3m��
c7K�U��k�ŋ�5"~M��hvL��-��{�-e���DݚџUMD�?��Kp����HUfTS	
Nh�[��m'��I��N��m�H��T�h��������L�QJ�_*H
"�(�X�#�8l�n�U�{l�3���}/����Ԙ1<��in~��b*�D {t���iL��Ձ.
��y��Q��B�V�O�X�éhK��S�D��
+
>7S����������-�S��6
&	ؔ�
�7SB��=�a�11y�#w]G
x �;�
��h]����r�[-�i��
!L�s	V�.���hnK0�8����m���,�ϼQ��2@�*��½�
�L�S�캨6�t��0�m	)!q�å�_���\="��q��X��Lx�v����!��[��,UT)U��*�R&���b�]?���4��3�R�!3�����lÙy@󌸓jB:賓.�FC�!2D�vi����z(�o�P%r�ad}��_U
]nKG��"�Gh�Ҳ#�0��m{ Γ���
힄�(↽�-�w�q�;��0��I���f	�擓�w��
��^�,�7k*��$K�K�I���"k�ʌ�%f�^弾nX�pP i=6*�8���q�c*�"'�`����}K���"��jd�G���"]Y��D�쥅��Ԭ�����D~�K�;�V�X*3���!z�g���1��Ԅj�}&�FZy�)��$�K��(RY�k�NW�7*6�ϼ�Q
�a� [...]
+D�؟i����r��L�1���R�}8L.�=��_�A=F!�Ϛ(��,t��O������m㱃"g��

��
Lt�ۚ�M�Ld
�?��m����d�~�����v�K�!c�s(�%_(��*#�}$̵�,�i��P>��H����} ��KwS��� D��&X��o�
PI-��O���^�\&8�=�\+�Hs���H,KI�>�z4i:�o����#��H
�?�yG)4�fu
ϧ
L_���D�(���1`��E%�;��@�H+�I[�e��\ݓ ��ޘ��SS���=.�8ꜵjY�q
�i��� �q�������
+9,�~�!�n��d��U(E=z�k�-0��<��qg��Dx����}�
?#t�~?p�r�g�o�(]�Shp�=�<�ֿEU��~r+�
?��9�t
�>D
���"����}���ۍ����D�1�U�h�L���eqq�{���g����Ԏ>�-Tz� ó��� ��#]�x��
o��s
��ޏ�o�ߗh�?
�$7`�E[�tD�-��9\����i>�H
�
�*{�~��u
o|I�E
澈��i�Z��˂́	ɠ�;T/�~T�F��C0�Ny�?3phb8���*!~ưt�~�n0�����5Nt���O�e~�-�ar��9��.
�j�pc��Ӭ��
;�t3
۽����>W���pM��Rm����C5*�B�]&��ȱ	�xr�1ƛj>��Yh�~L�F����$K��H/��4�H0�iL�)c��[�5�����T�o�!|G�/z<U�	RKr:�i��'ԐP�����Q#ܤ��;�ؘ�5��$yRՎp����VaG��>�EoȄ 9ƃ��J���G%��m4s��p�O�bub|~I���h|�M9
�q�³������
�w�nu?,�5n��9��Z/(���r�vKT=|�ظ+䪍� [
+���v/
]�'��cT{ޤ��"�
�`�m��8�t�86�E�T}�ܿ#��G\2�
��m����s;�
ԯe0�P���/!I���{�E��mjQ���yK���H�
��T����پ�	}���G�g���r�C@�[��Y��Hɞ��S~����o�${�endstream
+endobj
+2149 0 obj <<
+/Type /Page
+/Contents 2150 0 R
+/Resources 2148 0 R
+/MediaBox [0 0 612 792]
+/Parent 2131 0 R
+>> endobj
+2151 0 obj <<
+/D [2149 0 R /XYZ 72 720 null]
+>> endobj
+2152 0 obj <<
+/D [2149 0 R /XYZ 72 470.924 null]
+>> endobj
+2148 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F149 920 0 R /F35 663 0 R /F114 560 0 R /F158 1216 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2155 0 obj <<
+/Length 2298      
+/Filter /FlateDecode
+>>
+stream
+x��Z�o�߿"(PTFcV�uh�
v�-�+z�>u������	,g7����
�3"iS�,�G5
��o�T~�y����
�0�����MmY��i�Ox%���'���+�
��k�#/jO��
+������l%�Y�8��a2բ��B���g�g�j>���
����d*���������3NL)>��fIܺͼs�mu}׺ZtwN��)
+2p�֋�D�(���ܢe��(�R'�3�bx���E���39��:\1��:7�Vzs�:}�
9�n�V{�)���ւ�	��yv&�:�w:��m�Fvh�
Z�s7��@�C�ߢ�aI��77c����&+-«u����Z3d�_::�?�G�D3��G��
�|�u���6��4
�u����x�D38J�(8D�0��-�e
�u=���� �Q$��5M�PL)����{	KF@�{u�I�@�bw����`�G��'Z����K
��M�����
1�17�4�L2�L+l
�ݞ2�dF)$:��tĚ}q�~�9k=���WH�	��z?�2����`��4c�N
�[y���F�	�
x�B�����c;�C�+
+  <�us
+�E������f�rM>���t��|
o����ab��0 ��"!�{x�<�a�Cx_c�L:�L
���p� b�ƆK0h�ֿ��
+� ���n�pk몿����N]�G�v��Ha���7�<��ZMm���H'
�AZ;���	�
U��ZJ�H~"��D��\��);��~L���$)о
z�0%W����
���x���@��?pA2������~�s��5���f�85�ٌB�����y�	�v9*

�y!�%��	�C�tN]�\WAػ�b�m#��snH���k �}C�!LS���>��7Tw9
&�R��>�--��U�{��R�v
7&��q7��M&uS�b�H)�
njf��
|
�'c�|Jz�an
UD0.v��BpY��
SB����v)�fbj�<�E|�$q����=r�͏�7\�<���}
�q����'z��?��7�]���5��ɋ��Z
�|~#��J��m>��(�"��Y�t� �S��>�J���jwD��켃Kzpu�����|�H_v�	70�
Nz��Rg@�6�xZ	�/�x�dy*�<��Rg��L��Pj��+�����u)��.���A^n����,qi 
R&|��m�FR�&@1�^�
�
��}�G�u
D2t�v9���\J�����< ���b����
1Κ�����A��n�=��Ϋ�����<�,l�\5��0�ol��Hu@�6ta|���sI�k�H at Z��$S!��_OO��'3쪟��SN�G���c�d�x8�v$���Иկ'b|2��{�jx�
Ex
#����BD��F���C������
�JG�K�T��]��1@�
��;Z6g���H��aK!�o�ء*c�˒�B6�
���,a�{�H;���5
P
��֮��`��SY��n����r�2l�'�qд<+�k�~�-6��q\>�T1
�R���F���C2+�?:�-V�
+Q�6�P�e���۹ʐ�
��
+�*����8�#�%�DYЎ'~�ϻ�#JfuQ�w�T�DK��
=�N��f>$�.�LN���aB�睊�k����X'ґ�tV�Y OdjfL�!r��P��!�7#GLn�I�i���X�X���Q�M���ء�X��@�n�4 3>��j�ҫ�a����U$ܥ��q��Q �s2�N�����C�Z�n��j��a7I��-r^6!�t�^�}�qG���6�#���~?�����r�������_jb�Ia_љ��؜6q��)
�
��O
@��cAG��*�*#�{SD w��l�w|
m���E *�D�JV'z�X�����)��b8�
=�2�ZR�_�pSA�kM��#�'���f8ڇ[?g(W,�k�8 �O<n<=#Σ�j�Թ�h�H��D�@���N���~+��0J�y��CU
+���-|���`[Z4���[�ݷ�_�ì[���Bd�ZC�r� ]���D�I��$���0�����?N*;�.6��݌l8�z���
R
����4Aa���3u�=��HN�&���8|v�i��b����oö�1\E+>$ߢ��d���r����ߍ��'�J��+�m�{
�!dw1G��2�H�U~���)2��q;|�
�̽-�2i��
+J�
��Z&�*�q�_����
�m
{���qA\ܗ��H����`;Q�$U���A�,mD�$��nW�
�ů$%c�������0H��),.x�Yk\��2k���1��1�ͻ�7��\	`endstream
+endobj
+2154 0 obj <<
+/Type /Page
+/Contents 2155 0 R
+/Resources 2153 0 R
+/MediaBox [0 0 612 792]
+/Parent 2131 0 R
+/Annots [ 2157 0 R 2158 0 R ]
+>> endobj
+2157 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [486.796 598.089 509.566 611.923]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.4) >>
+>> endobj
+2158 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [449.821 583.644 472.592 597.478]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.6) >>
+>> endobj
+2156 0 obj <<
+/D [2154 0 R /XYZ 72 720 null]
+>> endobj
+346 0 obj <<
+/D [2154 0 R /XYZ 72 720 null]
+>> endobj
+2159 0 obj <<
+/D [2154 0 R /XYZ 72 546.756 null]
+>> endobj
+2160 0 obj <<
+/D [2154 0 R /XYZ 72 450.419 null]
+>> endobj
+2161 0 obj <<
+/D [2154 0 R /XYZ 72 306.467 null]
+>> endobj
+2153 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F28 541 0 R /F35 663 0 R /F29 544 0 R /F158 1216 0 R /F149 920 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2164 0 obj <<
+/Length 2049      
+/Filter /FlateDecode
+>>
+stream
+x��ZKo�6��W�-�eķ���H�ȥp�C��fWkoc{��M~}g�!E����HR� kI����7O���'�^�r�9+����&VLl^�\�h�Wvz>�Y5�I��K���΄ɖ8y��*���
��M3^,�k���ߋ?#)��6����Ev��_Wp�5d�t����-���k�ҭ�ɳ[����
+�v �kw�j��V��5	��6Ӂ�<�FZն��/�������&�d�S�8��CͤhK ��&Ϟ#�g��J��-�f2���:���i�0�J�l��\��iUK�\0�5ϧ3%��Ʌ�v5o��G+OQ��b��*�k����5��X�
� M��l�ܪ!�
+f�Y�.�9i�Z�I�	�@pA��
��-
nlH�3.8�����<\�o?[�wS�#�ք#��0&�Ұ
�q�d�~�ʇHV8�rw/�p�4�wK]jf� ����{���_\ȏ
_�����O�;?�i
��qIt�e���7��,�㚟�Ь��5B�5N�����)
��r
+�~vWX��x�ݡ�ƅ�;��(Ϳ�.
���&��O��eδ("�
�\!@LR$ �ڳ�)��̂~v�(h04a1�s��	��Q�ßԀ��8����L�����=��X ���
�Ջ�a��
��{�Kl{�p�q�p�\�Þt�+�=�
��س
�L�^�ⁿ�ǟ�+���t�������{�������
����� p�La[��u,��l���>��ҵ-�G���έ�ڦ�P+K&"l���1�=s�'��'����R��^��&�e �9��X�:5҆�P2�0�0I(��_��r�Z�PPN	���
+��$�
�'@�̵h��賛�{�/�wƛD�K��	�cK������T��
v�	l�m��'ac��y��h�;q�_6
���͈������r��q��y�����~�}�6���Wt%-6!E"�d��)�NM�
���	
�0�X���h�GCfW	.q���
��HC֥-��5
y�w��a�	��)�]���#<
+(�So�\.�n�t��MW�n����=Q!ĊV3qi5�L��3��	����H��l�%�g$�{��;Kz��6�>��M�S��\��_k���*ڸ���H��iv�E���P2{]�O��*�hn�q�J��7����S�mԶ�;��	)�f����'��
��r��Q�zħ������p�rܜ�v�
��p�.̽f
-�
C�ѴƝU�ߧY���q
��~3޵I.�Uqo媥���?�1�pt�"�:�4��o�j��F�QFe�V��
���ς�fN
z
Ď;�-e4p�ɿ��[Ss�ݲ�o�ҊCL����w����^
+s	�d�E��l�
cj�>15
6��0���n�,��/�qxK�mKs���O�Y��2;�'1sg��B<ܴFL�Z��G���0츨�(Y^���S˽N��~�
+u}<r�y���B��y�y(a[�`Q�Y��{4�3��2�Q�W�1�:j)���1�D�������\U�6G�6���u�fC�u*���w�|÷a�:��
�Ss{�+JG��o{	�#�u��)G�1>�9�&�ܤ�-��1l�G�{����`׫����׍p�i��`�4y!`���v��6�w&���g�^�>���DgmOP�x�N5;�03�03\C�|S,��@
�Ӿ��3��Mb=9
́�f�i.=���>��;�8
\2�!�1{*�F=��Ǥ��GݬI-�j��Ci,��9(�
� c-�0�UȽY�L9�1�O���.
����,�N����7��T��P�h���ې��ˍ�4C%�}��@ȇ�ʤ|KRjz�
+tTeԽ�����‚"�b�*]�>Uw�m��m�R�M�,�
oa�=� �&&4SZ��X:������բ�������������g��T�
o�\2[����#;
+�-P8�Q��3�
+(L��92�
gD6m%͋ݨ�)Y2+�Xa�qv�Ix�οl��m��:�	������by at s��t4&؀$A���w��'/O��"i]�endstream
+endobj
+2163 0 obj <<
+/Type /Page
+/Contents 2164 0 R
+/Resources 2162 0 R
+/MediaBox [0 0 612 792]
+/Parent 2167 0 R
+>> endobj
+2165 0 obj <<
+/D [2163 0 R /XYZ 72 720 null]
+>> endobj
+2166 0 obj <<
+/D [2163 0 R /XYZ 72 426.762 null]
+>> endobj
+2162 0 obj <<
+/Font << /F29 544 0 R /F149 920 0 R /F126 638 0 R /F32 667 0 R /F69 550 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2170 0 obj <<
+/Length 826       
+/Filter /FlateDecode
+>>
+stream
+xڵWKO�@��+��b/^�֋Z�"�Ԫ�MO�b;)!(4p�ogvv
O�C=ll���y��|xtr)eܓR�$�
�=�T�� ���w�b���5���)����g���2�LK�"
+Ӟ�B&
+5%�
+Ϗ3�?7 �-��r�rVl�t�{><�8E��^��KY�Zn7�b0�`M
n�|C.�����X5dU��S�Ls. ��� Cc�<?	���U��n��l`It-������h��jI:3�Kw(������rj�
�XE�;�'6�R`�ٹ�U�-y�p�
G"�ʲ�θ�2�D��+�ϴ�
�z����7%���_'!�5b!)�	�y,���u����>V(���
E6�32�X���O��B;X�W!qW-

�tl�*5��SU�H1y��@�I\In
+�(

+�n�.���E���� �@������S�A3����v���
-f��m��G/Ip�)����
���u�j���l��BL�yN�<!�/����	3Ӛ�m����=� RS��.p��P��������oY��t�z���P�,��>�ܓ+�P2��g͜�\5��~�]��>�V�}�6�F�sV;ūz��
��_	�D�9ϧ{<�p,N�`(�R�P��X������
#��U���s����-�5݌!�|"�lϰɂ2�4���F˄6/'L��q;��V믹����|cX(_X����^�
+�3��tg��H�Q-��}.<�����+����D����F�H��5�A�Vހ�ϯ�����
�]�~�B���`S{��J�{��GNa%�S%u"tj渊�L��?��������:��endstream
+endobj
+2169 0 obj <<
+/Type /Page
+/Contents 2170 0 R
+/Resources 2168 0 R
+/MediaBox [0 0 612 792]
+/Parent 2167 0 R
+>> endobj
+2171 0 obj <<
+/D [2169 0 R /XYZ 72 720 null]
+>> endobj
+2172 0 obj <<
+/D [2169 0 R /XYZ 72 698.015 null]
+>> endobj
+2173 0 obj <<
+/D [2169 0 R /XYZ 72 702.996 null]
+>> endobj
+2168 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2176 0 obj <<
+/Length 2938      
+/Filter /FlateDecode
+>>
+stream
+x��[K�۸�ϯ�Q�,�h��.�T\����Rq%��
d�ƣX�4����6^$H�%K.�)���F���uϛ�W?�3 b�����i6��*����������v���_~�l֖�*�H���a�{��7��?�ݢ�Ox}���-�߸���yX03��W?�X��l0��U8������
"mXnp�0G3�q��
�%~>F`9��<v��&^lC�����k��������?�i(��
>|�0l�����/��Qq��
+�"\�� B(?K?��8��1"u��"4t�
�l<� d���1�D�m
+քC���EŴ�C�0���ϫEJ�q_*|���*��X�3B�������
+pB\�iʄ�����J���(eqbV�ǂ0��/�ַ�����j�&̊A	�9��p��Q(b-�
.�K�"J�sK¯�2.�u�D�ɘN�!BB�)�OT��[�K����-�;��m��w��6��g��:la�H4l�~��U���z��F��'���x@����/H���
=ETV�:�	p=
��B3��v��@���*%��:�l�ks���W���깦�#�$nv1[�]���������~�‡��^�����UT���?��Q�U�Ϊ��7΅habZ4��ccf<�wQ���0P���y�R���3.-��Lp>�zV���`_����HC��xߕ��:HCZ9 
<�
v�@a�Ǜm�
���<�f�
�s-Yݙ��VTc�f��xX_'Z��H\���L&��1g_�kT|\i�/���q�g%^ �����\a����$=���zQ&
+�rsP��1&yH��Ae2�mlI��"�Z�FX�S&�1u2�=��fD��p*��
+�N��}�3i��`D�-��003i����̷�
�Mn�ʣ�#�Ң��	�s�X�YI�p�UKv�z�-�x�W at tlR�H�r��
�IF��>��T��pY�:bs
��P����o�VXfNJ����[M�1���M�A� 	
��@d��Ӭ������GϹ���F-}��[���x��(|�J�Z�
+�ÃĽ��M����ȢRZ��v�i�S�m����%&CC�4�7����b*���x����Bc��+^+���Sp�P&��k��j���-�4ƪͰ���ߍ�1��>�V:�1D�)�;�0�k |ִy]2)
�SM������B�Q�?�p0LN����1�ǡ�
�ƶ��	>�E�'��)�3��蘘��R?�?�vJ�n�n��]�7bm��O��M�?֟�E
�+������T�a?�����N49y��7�]i�]����v�x��#4Lc��e��K�`�m�
9X/�'	��3g�j�ۻ 6��y�m�[��>IxU2��0sQ�	Վ��Ty]�M�ԙ��V�C��i3h2@
��_]�Ĺ:
�M��^
�?5|���pH"A
M$_h���M�H5c�'i{�&ߜI^'�ֻ�I��v�ȵ~�
N���)�u�v�o�ԙk�^=�	�&��O��&طh�G���t1��Xf�&�$S���r�� ����
�uh�l�Mc��� D;^r'�2�rbL8�>����3RӤ8q�b��
'���?=,$�����i�B��n�/w���~}�T
�Β��n��ν��ݮI���9&-����ˁ\c�J�P��Cd��j�|
���g.�SL��Z��漆1
+�T2O�~� z�!b	*�c�Д(�NG�e�xQ�,a
+��l�;,b��#�|*��	�Õc�ϱ���i�c�U���J��@��.T��8k(���M�U
5���s�-�8p
$�0(6��s=��0Y�a
+V����楧�#�Ey���H�Tx>M��e��� WVȴ������)�J"*
�d�J!��x���. G�GC�u-�;D��$��y-����Q7�P�S�]v^K�E����Z�?~�qؗ�xn���F
j��K�@
++�
_��E��KJ륗�r��$\�
�����Qz���݈�xIC�c�u�n�"_P
�����xws
 P@��}V�{/��Y�6��P��
+�<3є���|�
H��i����&� �šN��Mp#W�
��B���y��Х ���
]�
+}c��ٝ������H[VW�mj��.*pY
���<�?l#���>z� �t��vƨd���Zb�����Bd��h��_8?h,#��ҮJ�r���)1�Sr�q����W6�o�)��Y��֯Ө�4� g����6��i�
葛2Q#bT�����
��#�a���'��,@{d[�alD��{�|�N)�gz&�jz�)a��R0]�:�r$,���
l'�kz4�SH�圊��#AԮul%КT�Mi��p���X{�Y����SiO��#��
s�W|���&�!{�]�@���N
�@wcL6��[�#����,�vqY"�^��c��������o�6��]��l��m�|��+
�D��IK<���X��
����	�.�E�
��L�Y֠n���
�y\�V�{�Mj���
.�/��n��u��U���q
2�s������"��g�q�o���kE�Qg�YtQչ]�G�a��������6Z�R����0��M1�����1���ġ�(������I���,Ygj�-c&D�#z���@�#@�z`\"�
-� �״��(�{
�$C�k���J>�-�|� G�|�
F���dNM�Q�U��iaH<qi��<i-�(�>�[NS\yFŅ�/
������+���R++�!��X�鯸�!��ٱ�����WH�6����O�كC�#��V�
�e!�lj�נ�(�"R4�),��J�uW4��eyi3�<u����	H` �@eiA�E/����B�����]e�R
L���Յa�:�X_	f�ȉ�Hl��ֱ̲������}���j[�(
\�=l���\
+�C�V��ܿ���(�\��$���'endstream
+endobj
+2175 0 obj <<
+/Type /Page
+/Contents 2176 0 R
+/Resources 2174 0 R
+/MediaBox [0 0 612 792]
+/Parent 2167 0 R
+>> endobj
+2177 0 obj <<
+/D [2175 0 R /XYZ 72 720 null]
+>> endobj
+2178 0 obj <<
+/D [2175 0 R /XYZ 72 700.334 null]
+>> endobj
+2174 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F35 663 0 R /F32 667 0 R /F69 550 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F38 1435 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2181 0 obj <<
+/Length 2261      
+/Filter /FlateDecode
+>>
+stream
+x��YIo#E��W���H�/�r at b�3
<N{�(���L���ں���v{���गW����W����㧄��d���W�6H�Ja�0������o��|����p�����9='u��	�����oo����o������K��aa�jT[O�R�D!-I�z���4�T
+e)lϪ�n����F�U=�v���EaGJ���
ɴ
�΄
��~eM�7s����>�K{� R#��*��tC0�ړ#iD"�
̊�7�vv�	�_��jr9o���V���#�tX{�''��2S4c�K
���R�����X Xv4S[�®��ǐ�ľ�T#oE���a�߷?y\��G���MC5F��,�]m��*c�8��O��l_���S
CD���t�X?$�o��u�e..�(�ΓؘY��5�a�����������k[��:�(XF
m!����6��7/�w��p�I�c�kk�c�q�b�y�xA�<湆C `l�")&�uxW����n�̅�H���V�e�C��f:	����
�@�ߚ8c�ک)	Ƽ6��^�8l�(D
?���Tn�i�}�$d�$���m���d��
���Ćɢ���q8 �h�E�Ҏ�v��k�#���"T_
�n:�
+�Z$t
-Tl����Aƀ�)��[r��D���OBc���̊�+RA�C��JH�����j����o������*�=\��|5�ʬ�
+����f?t��ȬI�}a�uf&&���
+	Bzw��'�����<Ԁ���!�>�^��
>�ꬭ+�t�
�3�r�uDe֢͑�r�{';�":���jvU�I�$1��!�r��d
��	!��	��bB0��揕=�	
F3�
bL�Su��U�	QP�1b�sf��J�.���DS��S
laJ���|V�
�W��61��
���.����d��~��l�ݽ�,`e��&<܆���F��<Q��C�❰8e���
፯�� �BBl���X���Qx.
""��	�y8|�t?ɣ��t���5��w�EgM��H�x� ��
?�_*�����"����[��n�e��'�G���3�9C�����<
9P��BxAN=S8+����g�'�<��Ճ�R]�讚
�L���q2!zl2a�rN��ՍC/�>�v6��+x@��^�Q�9+��/M�.Q�a�
+������W���$�&���$�{Y��1c�D'��l��쾄$�s�`Ϥ� g����D���
+���1�����5�]rsg��x����:����4�cp�Jc|��97�5��]*w
��a���ep�+O��d�+��/��C�[$�q��߹ ]݅�'`	Vó�<~
�������y�
C��O��MX�ޣy#����5��ri-�Dm�gR�ob�?��~
q��w�W�`���^��)�Q���FV�傁$~q�?u��]p�
ɖ�������?�
�-逆}�����s��OH����Y�#����6��<�'`%�Y�*�ﺘ�i���t
4��k��?���H��Ș�-ކ-z
+��@�8:J��+r6���}'q
1�>��huw��LX��c8 �xk<v�N�G&yJc���}s�����S��.�P�J�q�:�_z��
��]
�1�
#
�88�{PVC5�-�Z
+�<�.:�z�CE�D׫m���ޫ�A��GO�ؼ�Aw�+N8�v�ZZ����i\'\� t�b���aqE����c�1��A�C1�'��o
��ܼ��4��_)���彳�������
�
XI����[ۓ���H��61�+���Z\��^�] ��]�^k
MH �~�Ԓ��u��*�w^�)uƹ�� ��CbeC�֕%��.�#�c����O�|^��頤���4�ڋx��8\��6�G��H�$LV ��Q��������&iJ��j�����!"F��eHj�6Ι�`����$�-���R�1 \��[�f\������&s���<)�VmO�L悿K����6xh	ʺȓy��o
6�V�^���`W��a�pJGSN
�l
��
7q)J�
�*|��)3�@�X��; p��*ӳ_�*�o�2��
����/{
+��ɏ�~Y��5����%+3
C�=�wf����dBw��Y�w�"�&�j��F���ǣ����7�e�J���9�ۑ�z:Q'�.8��g��: �>_�l����b�~��觲�u�xb����d��[�����C[I	�����P�~��^)��
���K���ڞ]��Y�_�
*�endstream
+endobj
+2180 0 obj <<
+/Type /Page
+/Contents 2181 0 R
+/Resources 2179 0 R
+/MediaBox [0 0 612 792]
+/Parent 2167 0 R
+>> endobj
+2182 0 obj <<
+/D [2180 0 R /XYZ 72 720 null]
+>> endobj
+2183 0 obj <<
+/D [2180 0 R /XYZ 72 410.257 null]
+>> endobj
+2179 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F69 550 0 R /F35 663 0 R /F38 1435 0 R /F72 1166 0 R /F114 560 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2186 0 obj <<
+/Length 2346      
+/Filter /FlateDecode
+>>
+stream
+x��ZK����W�!�""�� #W�:N9��Ne+UI�È��eD�4�+YɟO�G�
>�X7f93xt��_���g���su�9봾���;Ŕj�LcY���⟓�N�u�'�(Z:Q0m�U�g�S>y���p�p����+EG*� �
_Lg��?�ʤ���|	��84���z*�������D7� ��
�d���ƕw���w�H���n�����v:��Ȱ#�wHh㎑��	�jd1
Bw9��h{IJA$);&$�6�9��:�f&
�RLJ�'�E�
k[q5��N��ˊ�:�k
��>HkQ�[f?���y��4�gN���l��|*
�Ŀx$f��W�sxTT�qK
�*�&��i�a��鼢�ImG��(8g��~VS�fܾi��
+-�d�?��?(�DI�'�Z�ju�R�4h4�9e5B���9�������|9��?k48�Ɓ���EO>��0��F�ކX:0�0`B��m"a�Ep%lQs'ʹ�d��3c������aD��1��k��9{��B�i��\YxW�c�YW;
����!(HE;��a�����ь��x���"�j:�qن�-���S�h�Ց��,1b&Y�IJ�,,kMC�S�̡�m#E�Ap�d���3��Xro��Z8�Ҥ3˕�����T\��d]ǝ
�.�1���M-/9iOX����oA�BO8��g(�$�ME0"ƀ2xq�~��f6��dJ���8����t�S�:�bV}nn<��
S`�95�
�JyB��(��%��;�
q�C}�/kZ��5]�
J�
��T�,�:�����@pK�

����qf���/�>��]�D�'
?z��̤f
(Ґr웣���^�pyN�
3Y�
+Z���RD�Nb�	��6��(�_�R��+����
+hm���Yq!��/���@p�
oA�m���D���
Fփ�`���T���`in|>�ȦЂ) Ԣ�U7\2�4�_<����ρl�.ǣ�ў��~*�f!�(:i�A
67 ����k'�;�j�o�6�I
l������%�8�2�'o�S;�T�7�nӽ'��������|_�o$3�#�Y`�D��rZP{Y(؅
�<Y
c~��?����?B=
�K }V��]�a�0 l�l�L��w
����]��՞�0֦H�J
W�����p?����cHKOc9��.�U`��M���S��Sʊ�tj�*�J�^�i��6�JP�J��f���G��wK/�
����CR$*�r@/߾�y¸Z�X�����z7�n���U5��2�*I�bA<r�h���y!�-ف�N�K���^� ɴ} �����'SPʡ�"pvA�{�6V��!�UM3�v��?��D���G�e(��JЧP:�7��E���B��)]��	_ ��r!��7���1�Xd�O�3,�i
���_�
+��nH�� �h�b�&c`/[�_j��\�ѡЉ�>αi2�����Ln�$�&�a�ۅ�H�EHe�YB��C2�6�
+$~��qv$���ln����OU�?�>
S{��OԖ;��&9�[\4(u[I/�<���aZov�}�8�8�y
��X������F�=1�x���44
��P�|������UE_HEZ���=��F�y��
 ɷ*�܏�@8(�5j������
�0HG�P�>�Em)�LGU~E%��)�د����y�HH�6����R�S������:.�̿��+��ݕ��܆���/#V�1-`��C�ב�̤������ZU����{R�C\�a���`��RsYN���([�d�Cٿ\���X�u
�1��d�y
�įD�MQ�rnLt��^2�aAL����c��q���&���E�n��t�fx��
x# ��L��2o`ڵ���j(e�� �Ȧ��;»�{|3��<�Y�@=���V��L�>
����̔<w3	�~ z��P$P/q��F��j��m!���
+�X0��
+��'�4�0�Δ�M�G܍�]˽
+��n�k������׎��8~§�p�)aj;�6Z�V����a�n��2{q��~q����)u�Q_#HB�<#�^'���[4��P�Q.��8>�bx�)b��-2{c���pTZR�>�>	�?}GF��D8L�|G��?�K���h�s��gѿ�o��?{�����㸌�%+|�����
t�Ų�_o��ҋ
^�m�����j���'݁;:G/d�WҧޖyA�J����3��J�����.�z~��_2ⶵ�[*�Ut�?nB�<f�]?�!+1����T���9I���jQֶe*}�IF��pa��u<j!~W�����e��`��!F��
7�($��Be �1
��|�z���p��HAV�endstream
+endobj
+2185 0 obj <<
+/Type /Page
+/Contents 2186 0 R
+/Resources 2184 0 R
+/MediaBox [0 0 612 792]
+/Parent 2167 0 R
+>> endobj
+2187 0 obj <<
+/D [2185 0 R /XYZ 72 720 null]
+>> endobj
+2188 0 obj <<
+/D [2185 0 R /XYZ 72 427.587 null]
+>> endobj
+2184 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F149 920 0 R /F35 663 0 R /F158 1216 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2191 0 obj <<
+/Length 1846      
+/Filter /FlateDecode
+>>
+stream
+x��Y�o7
�_a��F��I��b���>�v@�a��=���1��Y�n�>�o����d;)�{���#)���"�'��~nL62ebM>:]�J;*�*I3-�
��[xx��_�?�-}p����Z	�+xn�y*\�U�+��p=�LmV���������ę�N�q�I_l�a���5���S����JD���o6,�d�J�}�
��h*�M�IjS��zyWf�pѥW���78��_��7
/�[��k6���6����\Q�")�Jަ��H��Bh��6uR��ҧ�ڑ�ޑ)Zf����fs��:\7+� Eb���~@
|��
+6�ix�M*X�׸���*�:��/QV�8����-���G�T�Դ��C����Ӗ�3���,�x-\-y��^৒@��^��A�"Y
��S\�#d+���fµ��5yV�����F
�J~�)�
+3�98�dI��(�e��:�@��f�畲;`9�@��9t�I��
g�'�����?�j�
}e{ØXi��~�Y�����~��O�3e\/������(a �dV�ǧJ��x
+!!�� ��VDi Fs	���T0�>y&�]���|�q�%q�l��Y\�r��[i{� B�V�������ɥ(�ar�n�l4�h���~r�#�A���3
XpP�权`[1SXچ�]y)�u�s�1�.w�܌�d38�`��Mޱ�"�s6��ɚW�q���o����<��'�Mę��,	��'���sW����6k�˟'
�~]�w�\wi�'�Z^���G,@�8��{|�=��M{�]�]���^ZG;:�+3��(�4�d����
+�J�$J

]���[ڏ��*F4�`�%1}7��柤 �A���o(�E���;�g� z��)�N�Iٕ(��?���c^�3���
I�ׇ�

B{��
���\v�!8��埗0�<���(�
��;����U��34/�Y(��z�(�V!�;�vNے��樯Z�m#z�3�N�.9X(���tj邏����eC��˫-gy��zI�L�0P8kM�x+�<�~��H���������d�=2���GA�MMaw~�±P��>�

��r>M}m�tG8|,�n�ot��/��pӥn�&���P��T���aB�+�
Y��p8�B-�M�#QzƆ���}��5�yU�z��X���RV�@����3�
��k�^I{�U�H��o�
����#p���t
~� �OO!������>5
BV$��-P?$YZ�=��|y`U�(!�K�X%�_�,��!p��ip<�Js ����Y��Y��YPS��*�{F�Y�P���l��Y0ԑU�ޖ�]d�������
Q��f:�&��;�e�z���D�u�W�; oB�gN�
M���6�X� *�8`���f47�@le2z��Z���+��d�ѱ|Y��,
lb�j��t�#��{�L	}����A�Q at u�����kְ%w.�
+j��l�{�[�"�͛�>$u���r�cɁjkj��Bo�5��ݜ�v��n
��K�U��Q�uU���|S:g-�6j��^�C8�>���i|��e�
+��=���׊����m�o�ŌE��juq���u�����'t��\�3s�;�O��$��8@�}6�mW��/�_�����#��
+�F
s�Ny�t�O�
�E8��Aȟ+s�R�����;��t�Q��ǰvI��?�J��B�
��G�Z��/���~)���Q�2����Vyq驇]��FL�B9�QX	�	�n�rv��n;��q�a��	8^��VL�U@�\�wmb��k����j��׆f��<ϴݓ�Zެ����K�pz�����`�/���=��
M#����cuS�I]������l8�
+�?89}��KSCendstream
+endobj
+2190 0 obj <<
+/Type /Page
+/Contents 2191 0 R
+/Resources 2189 0 R
+/MediaBox [0 0 612 792]
+/Parent 2167 0 R
+>> endobj
+2192 0 obj <<
+/D [2190 0 R /XYZ 72 720 null]
+>> endobj
+350 0 obj <<
+/D [2190 0 R /XYZ 72 720 null]
+>> endobj
+2193 0 obj <<
+/D [2190 0 R /XYZ 72 560.891 null]
+>> endobj
+2194 0 obj <<
+/D [2190 0 R /XYZ 72 449.798 null]
+>> endobj
+2195 0 obj <<
+/D [2190 0 R /XYZ 72 304.334 null]
+>> endobj
+2196 0 obj <<
+/D [2190 0 R /XYZ 72 309.316 null]
+>> endobj
+2189 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F29 544 0 R /F158 1216 0 R /F149 920 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2199 0 obj <<
+/Length 711       
+/Filter /FlateDecode
+>>
+stream
+x��Vˎ�0��ѬM⼈���VP��Vj�f1�$"�L)�~{���/�0�v�nXX���>��~?��G��h
[�E|�Il
���#�����z����c‡�3�
�Ğm`-�B+>j% �3���ăOB&���	Rn���v]9.�
+0�T�s���;>�ƴ�hBRF��Z�@v��B�Ag��Ln�>�_;?Ɵ�#�
P�|�
"/�,�;Ǎ��GGlE�U�o��k$t=����%�E��#���T:�
+%�g�`1W�]����|�
4��и$�hH� 
+����
��C	�/�AB��*Q�G'���lN
Tt*
�Z�A��G�))��� ǥL���R�e�<��K���{��ԲÞI.G�o� �;'%*S|�1_����
�|@]���D�9q8{�ҋa�ܰ%�c�b���g� ۯ������n@���
+�� ������/�����p�U��/�E��í����Y��$����-��bb-:Tp��BV�ߞ�2�����OX+�uF�F(δ��jt��
P  �
A
$�ou!I��5�ۖ�	"B��I
;���.� N����.
al�Y�-T�Ȗ���?݉�ô�¹�j.��4έ��dag�hi�+�YA���
9r�j�Pk"1D?Ѧ^H�����
���u]������q���� ��_��{	{4I���z�(O��'|B�7
�� ��Qendstream
+endobj
+2198 0 obj <<
+/Type /Page
+/Contents 2199 0 R
+/Resources 2197 0 R
+/MediaBox [0 0 612 792]
+/Parent 2202 0 R
+>> endobj
+2200 0 obj <<
+/D [2198 0 R /XYZ 72 720 null]
+>> endobj
+2201 0 obj <<
+/D [2198 0 R /XYZ 72 627.184 null]
+>> endobj
+2197 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2205 0 obj <<
+/Length 3725      
+/Filter /FlateDecode
+>>
+stream
+x��\Ks7��W���D�~ؕ��٤6��#�VR��A!�D�$*�
�����p0á4���%rt7����������3ƈSjv�zf��PK��_���_mKA������/>����-�-9'L���v��7��_Ÿ5|6;x���
|��O=�
��g��v��2>�Sx@���*c\�
����R^��	�(�L�W�.�hFz���]C�|~��m�Ӟ�]���C��>�v�_��m��.~@Q8A��o����}�p
�b��?�.z�-,�d|�d��9|�DJ�Y�
�G����
>�Zpt���F�w����Ұ������D�/=aJx)m���q_V��*l�2E+�H���B����� ]��Y�K�q�݋Œi3��t�gҿ��me(�	u�!���`Hm˩�J3$�f�"*ϾB�������yh�
��
���j�I��I�
26��
9 *A�e���g@	Av���g�"\��+��P�j�4�J�#ζ�莥�TIm��H�����w���:UR��b��D0N��Ic���&@�M�j�4��ZV�1�ѶE
뼵��{�PҊ�Q�;�YM�CL�������5 at qh�M|�����{�IUD+t��[$v(�߱�7�Pց��hC��(6
7�p{�O{]�jl׃+\k����dg*
@] ol��n&�����8Y�Y[��Z5��g<��|��7@&l�9��
d�~.}_U�U�0i�A��TT2UY�
+,Ɠ���Iq��M�BU�8�w)����N)�;\,��哅��N��J�-
�h���"�ox[8}���3|�o}+������U���Wā|��wU��2q��܆~[1Ed1�?ܿ-
�]���;�=v^U��+��
+I�1lvbW���RP"�a��TgPf4�PxEn�������/�g
.� ��D�4DA��>�����l}Fg_��@�[��
��u�)�:��쟹�e�jY���㶢I��0���e���!w��+tn���r?�9����?}#(_�\,�,s��
�$�rM��ul����
����(�w("�X��FHЖ(t����k��>��K8����3^Z� r�l]��P\98��/��溰�m0���!�„���C X]א�/On��%�SAn��a���A]��j-!U��xk8^
� �!B�f�6w�6
�N����d-j��-Gc�O]ǝ���P�f��!3�G� �x(m��0T�+H�
��J`,z�Q���8��1h'��Xv�p\�^�Il0u6l��z�"Q�a7���WC�#��]�[Z1/$�
CvN ��
_^� w�H�C������~@2
s7F�hE�GI?x�"�#��'��"M=�0"�I?��c!�	��'"Ma�
"
�aF��!Ɏ�$>���9/��Ò��61
,5}��ؓ�k�x\X�
K�qaI<X�O$P:Av���)����!3̰T��4�$���7�FW~U�I�*�4����IR�'N7���n�qs7��������_v���)����!3̐T��4ɛ

I��ec�r��
V=����%r��~t�P+��S�q&���z܀I}���/�{��&؀Ӏfl*�p�pI
�Ǒ���Vڍ,�
r>Q$B�k��U��IŤ��� Ue�6��Q��
+j�hA,�I���y�(�ky�(��0ZY��Dl�(���&i��+Ŷ�����S I�D�EM|&� �r�(��,�ugJ�MZ��\ۃf��7��U6�a�wXe3�D���B'�w`���
CX�.~/��L�Ә�S�
R;��
+�ܚ��*�������c�c���%�{���{���.���U���u�����<PJ+9gD���Z�/Qkł
��=��g0���G
�b�>6lhGh -�QS�����8K�n2�X4�S&Ĵ'�T�J_�%뾦�)$��` w:J�jQħ�h���
+I
���հ1Ņ`<���\
+*
��:]�w��,|�El�k�D.����"U
������AM}
��y�)���.�������mx�S��bIN������hY�:�	NOxRr�����P(�܀�2��**�.���I��R��ˣ�\Ev���&Wov�бr+��l
+��k9M��W�&��J�/�����®]
K�"�`EI*2,HJW�E�J̱iF�P��N+��$����M�ܟ���J��AI v[�S��שg�b���Q at k�Z�����Q �]�D�l���0�3Z/�74���E9)�-8��fY��
E竟/�w�+ �����w�������..�PvC���*Mp��u=:�R��o>ƭ��bh�z�-NL��G"Gq�r��qE���eeX#��#m���V�g��8�#�H�Hw\J�
��Pm
2���"�Z��NY�h�Gޜ�(<��,�>j`�e	2u�:�SZ���{�{GW����PA�
�%7�a���m�/��z_-��JV��`~
��΁��0͜ ��e�h
�Ϧ�'���h�K'eL/�	�R!�C��l�&�|`G\�j�QC�2�+��FdK\;��(�k�^f
?,X��s.
+3
q�!tV�2�L���0�Ϙ�N��(*���4ϫ��>�0W�Uf���~��'Ƹ�7>�J Ot�y�(?���W�P8f����R��UODP5
Z���njǀ����G��
��iJc����,�V6~��t[��p�
+-~^�@\���47�@�6}���#C �b]1�ָ��n��S�o�or�a[Ō$�]�*�,�^�x��O��x���
�'G at eu���kz� P
�1N��x	�x�x�;��Ti�X�ڴp7ʨr�T奪f���Z��n˨5m�4�t����4@�@��%�A�)%!O ��䶾ˈȧ��iGFz�9bǜ�=�UeA]ATY
�Aq���XN;M6��e��8�_&=
+&��j
+��918�~�1?i��
0^��B!��҃�3F�a���9��>Wy��'
�C��b���z�p��2
+1
�>�b��n�)R��'�˅�
+`h	ҧ��E��/�V����!��I����8������Usܒ�=�w��U=�����TCQ���ugD��e��i��Ng j�"���d
��
 @�%�J� Ƹa�
�c_�1%�i��pW<v�lz���
��uT_�6�e���\?�<ϑm���v�F���_ۍX 
q�Ā����[UV��R��M���6R�f��qlE��K
-��M�^[a#m�2H�mE�
+?"���B��P�A~��1M� ���;z	��>f<z	�bu�J�
�W��4b�^C�C�"��yϐ��@���3.RP�+�io*�+�L�� ;ᛃ��R�MY�mbG�t�{[�=|�c���D·��RE1�}X*
�7@�k�A���3e������i-�
/y���۝�u��p>�I/����M�[������B�}��c����U�ȵ
:��ZW�q�J���
�!������v�
+&�T�v���ωQ�b�[�
����
��>],�ޤ����;�Y���$/_��yx�R,
��o��??K��p�_�t����/'}��mp[}�~�
��T��

��J�
�T�K�3��U���
�߀��V���F�h)Pc��Lm{Ó�?�.�2�ݴ��!Uq]��e����	z�	��$F⎏��xUAq
����*n�փ��Ӳ���%����v6�
W�����T�qѼa�č�p�2ybs
�x��
��endstream
+endobj
+2204 0 obj <<
+/Type /Page
+/Contents 2205 0 R
+/Resources 2203 0 R
+/MediaBox [0 0 612 792]
+/Parent 2202 0 R
+>> endobj
+2206 0 obj <<
+/D [2204 0 R /XYZ 72 720 null]
+>> endobj
+2207 0 obj <<
+/D [2204 0 R /XYZ 72 700.334 null]
+>> endobj
+2203 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F35 663 0 R /F32 667 0 R /F69 550 0 R /F72 1166 0 R /F38 1435 0 R /F76 2210 0 R /F158 1216 0 R /F149 920 0 R /F142 743 0 R /F75 1442 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2213 0 obj <<
+/Length 1796      
+/Filter /FlateDecode
+>>
+stream
+xڝX�o�6�_a}�1[��b����Cg�Ö=8���s��r�v���w�HY��=�ɻ���w��٣�WB�ye�hv>rr�2/4��do�"����
�N��ٯ�Jgs�Y�R݌���9y%�HF1�J�
㼈�%��
|����ؾÒ�K�DU���X��'T�{���� �R_��x�D��6cY�]�̈
��M���֟��
�Ⱥ��Dz���<+����y��s�i��y��|<��f��%
y��C�	�km���O���	O_O@�4^
�I�tWXڲE7�!m�)�EQ�-�
O�P��@����8�5�N;��U ��0�7���"�.��<�?!!8�P�����7��_��f�ތ��pV�ժ�zW|�e������
�,*�
4�
x
w�-#��f��Ew|��8���+�
��� 8iS&>�q�

'X��q��d�гݍ�iA�f޳�!"�R����Cx����h�
kH��P6�B0�YtF�A����L�$�n"��>�[��q�9N�NU,��T��S�\�e

N�Z�[�
�w��(�N�(t�7W��+��C\Ad�:��qd.c?
�v��F)��P~.)u�A��C��
��L.ZIC�x�I㚕<�g��+��0}3h*(��˜��4q@��fu 
�n��
+��A�x�����0D��1�
�ؼpP��Jy�Շa��N�:*vDW�dp"eU�P_��!�Bw��=���!��a��֌:�	�%�Ki�R�l�ĒN'^��M6u[�=�S�l�0u�F����
��v��[��Iq�Ѷ����sK�q��C0
z���b4����N�˚r7�"��{H�܅l���M�
kM��B�ߊ9���ܘp/��)+��S
�Gt~�Je���h�*� �Vlfx�S�q
-��`S`ڪ�s�b��Ѯ��A�hw���-I+�n�:����5iޖI��_��G�u��&�P'j U�ՑD
{��ok���nъ�G>_�vQ$.v���P

ء��ɔ���@F�Й~AF5��2�"t0�on�S �uԏv��
�c�fi��1:��K\U�yd��m� Ev���kPή(�83ª�,�z/B��i�
>W��M':(J:��@�aV�:��7�#-Z}�L
��f�\`L��Y�e͝,�pj>�~O�E�@��v��QG�˸���$WK��]�Z
C����%܇�zMμ�j̉&�KH����~��
O����W� �)�U at +Y��5�&�^��]<�e�%�~�Ib��eU
+a�aIiy1�إR���׈�P2�
+H�J�
@��p<�&��ݶu��7��}����E�K�+y4�K%z�_+�TP���#Y�f*�b�cu�VL����)y�ٛU�^td�����U�̾����0���N�&�e��1'�g��G�u��{:w�{��B���s.�35��^nO��$�So
��M(B�G�E�
R����z�dM�|c��/!a]�q��U�)O�u��^�R���
h���^��^H�d���ඤ�JJ���w�f�Z�MA]��~�G��?甋�P�,z��|�
���E�6%��ɀ@��!BB��`����˶#�
�
}�SxN�A���d��˨�$��	�%��*�m|s}��mt�v
�4�vW, 'kY���$x�����.�V�>�]
Z���.4%ܓ=��m����=[��%�a�>�ۨ:ߵ��_�����p��8q��Y�{=jz�q2��>
�,�B�[��H�&��~֡�r�r��*{y��N#z	&�
+�e��8x
�
+���%~?QԸ��oP��=��&Hendstream
+endobj
+2212 0 obj <<
+/Type /Page
+/Contents 2213 0 R
+/Resources 2211 0 R
+/MediaBox [0 0 612 792]
+/Parent 2202 0 R
+>> endobj
+2214 0 obj <<
+/D [2212 0 R /XYZ 72 720 null]
+>> endobj
+2215 0 obj <<
+/D [2212 0 R /XYZ 72 698.015 null]
+>> endobj
+2216 0 obj <<
+/D [2212 0 R /XYZ 72 430.835 null]
+>> endobj
+2211 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F142 743 0 R /F158 1216 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2219 0 obj <<
+/Length 2461      
+/Filter /FlateDecode
+>>
+stream
+x��˒�����	���
3p�T%�TV*'{�D�@����.�\iׇ|{��{pH�ʩ�1�~���~���R�+鄒��z}�ԕ���
���Qə�<
7�����j��V
��:����<���j�5
��z67��^�鹖�~m��
~
���<��)��𲇧�៞O�Ktbͯ{|�����
�p|��q���Αҫ9�6WR��
+W���v���5�>���-��U필�6�:g� `մ�O}7�+��n�&���c��I���L����
+~�3��H�� �~�}^��\`���GD�
x
��
+�>�?�‚�Dz�t�2���O3k����֞�D�Ǽ#�AG��\a at K(L @{I
x�]m�l���}8�!����p�#��) &�7�M����)�5���������eTw`��p���~��[�z�*3��v�o^�
� �ȇ��J���R rm��'x��
p�]��
+�먧�
^�1�Ã	�X�
�cC��-�c�qw�Uݖ^�:�/23�D��>ߐ ������U��<S�
+D�� I�}�.pfOC�L1�h)��ˏ��[
�`�
�q~I)�D��a6�RW�p ߱�
h���s>�蘼Mp9�c�b������FF��迿�w�z����o迯x��%��pq"���|d��	&�XE,���r虘��

���I�b@:��e$=g��
=�L��n]���Ss�+D4�4��m�͸7яi/&�;
 �󝻔4��
a �Q��DQµ�Q��,��Ec=�$�0�c17,�eH/�
+$��V8��-�z�=N|��U	$������ ���(��Z�Q3��(4T7��
-k`��d
�h�!�5VSQے�D�#�K��^ϼ��bꐼ%��\���

+��Fh���q�8��ɒ �$���#��Q��^�/��Od< w#�a'�n�
�

<Ց�G:���@7�m%<X�p�>�v#|�&;�
+�S��Y�~֭�ʑ���Ĕ��F%po�I�ި�
+��4	s�����+�hDTnQ�Zn�BiU����X'1.
b��E1za�;#Qh|�����
i�R�3JU�z����L�,
��U����Ȍ�oP������A�
���gR��ѥ�BӲ�
6�)�Zz�-
+�f�;TL�Go��Q`Z�V��
mfH?
r��տ0&��
�x9nƆ^%lM�
���*�p�8+h��§X�jl ��1+ք��X`���<���
��r���fۓz�J�>Sm�(x"�c��b4.�:=�l�b�f&S���
W-�7��驦��
��<zM(��wvH�g�@�8\<"���
f ��Z�&�c��}�?�p|����[�4b�?�i
Y�9i�0Y���!6��To֥�l��qO1~s.�}��I��ކm;�chVF��h�[��L�5��Q��MJ�k�F��'�KY��&��!����FM��z�vvˌ0�DH�YCu*�u��N5��xt �O�м���麟�P��g�����
Ɯ�����Rm���t�
Y��1�U`?F�YOտ,U�҃8m�d�i�O�
+��
i�z�������E"�!%��E�<�\��0I��;�0EI��tt2���R�T�Z�d#��tz")��c6�Dz��X�_�0���uQ��u�~6���yH|(�#,}�amy�Xv%�W��oZ�|4��p�����&�J�k�
:�e
+��V�2�5����N�I١�(@s�'1}����(�E?�XPG8�g}�s��w��=�~��P��M/9���
Ep�X7�ew}
Bc(�1�>
+��:z��+
+
�{��G0���x��%
��gyx��M�
�`��8�$�Q\p�]��n4m<�Um��y�VZ4jh��f�Ol��ul)�c�}|{�x���w1���GQ�[�4������.��k��:+S]=����v4��ASa{A���C<��j�
�
{��!s�{64'S��<�^���h7`�
���J��w*D��P�A�
+��0��S
@�C��2N�N۩��S�*
���0��1��
��6��p\�\�/�����!��0��M]�P���T�>��1�X��d`v
�[P.���s�t3y��T�hJp2��G�X�k�ߐ���I�B���O��/
!����V�0�}�O���C���l�x�ڔ5(q2	�?|���Y��&��E�1���1�
���s>�AͿ\���g��|�	x?ofÜi3��cJ�֏ly���Ǭ]�#e��|2�)��o~4��y��^���'j*�W�����&s��u�Vn.㩱V��eR�j<������sa���p��4ads� ���r9��d�h�L)%ƢR� E�>�<���^���BO�|>�4��_��ؚ͕Gj�n�j�/*�e���@ӿQ8ʓH��
.<��
D X�q�^d]-�M�';JF��
�(��[�+X���l�hh"��>�-S��/^]��/��xzendstream
+endobj
+2218 0 obj <<
+/Type /Page
+/Contents 2219 0 R
+/Resources 2217 0 R
+/MediaBox [0 0 612 792]
+/Parent 2202 0 R
+/Annots [ 2223 0 R 2224 0 R 2225 0 R 2226 0 R ]
+>> endobj
+2223 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [246.115 309.652 279.932 323.486]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Huber81) >>
+>> endobj
+2224 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [286.16 309.652 311.537 323.486]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Huber81) >>
+>> endobj
+2225 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [340.272 309.652 373.766 323.486]
+/Subtype /Link
+/A << /S /GoTo /D (cite.White80) >>
+>> endobj
+2226 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [379.995 309.652 405.371 323.486]
+/Subtype /Link
+/A << /S /GoTo /D (cite.White80) >>
+>> endobj
+2220 0 obj <<
+/D [2218 0 R /XYZ 72 720 null]
+>> endobj
+354 0 obj <<
+/D [2218 0 R /XYZ 72 720 null]
+>> endobj
+2221 0 obj <<
+/D [2218 0 R /XYZ 72 575.337 null]
+>> endobj
+2222 0 obj <<
+/D [2218 0 R /XYZ 72 379.064 null]
+>> endobj
+2217 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F142 743 0 R /F149 920 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2232 0 obj <<
+/Length 764       
+/Filter /FlateDecode
+>>
+stream
+xڽVK��0��WT+�v���8i ��{�J��X%I����b��
�Ǎ��i��d��|c�Ӱs��X�e�O���݄w�`�<�߽�c�y#X
X�9������<���n�s��m>�x�mAuK��L{��
�M�
<ƞ<��5/�9�ouT'���
���<�Y>"�
��"��3#�ɗZ�9�c�/DJ�R
�4�
+
�^)q��TT1�TM�,�YM/`�S�;
��w���Uڤ��
m`�Kqn�G0�������+����Ɩ����V�-)�CR4^FYP��T����
)�4�ň֭B��
+؞����"&g�
+ń�(�,���M�՘}{�K
L�?�w��:cZ��R@�Bv>�,�~R(Y��e���
�V���@=u�ސ��y�5�憡��lk���ᤝ��i���G�)
�
�ڃ�W
)�

���puAS?"/A�[@:�r�8��x�ޯ&d�p����[#OS��G"�2:Ԏ-I����n`�]�Ab�x`Q�r at T�Z����Ʈ���4��z�f��W�B���f)2��E�Y�4��{<�o�0�B�A�~��o��#�0�.Ƞ$�=B�����%�Z��sx�J?��!��$�
��M����"ҁ�����+���
9���>���j]���
:�n
����L:��@�m�P1=Z!긝ٺ����*�)b�%�þ�g��絅�r-�:-.G�p9�����vZͧ��J?8>�r
��>�%c\��yv^�W�7endstream
+endobj
+2231 0 obj <<
+/Type /Page
+/Contents 2232 0 R
+/Resources 2230 0 R
+/MediaBox [0 0 612 792]
+/Parent 2202 0 R
+>> endobj
+2233 0 obj <<
+/D [2231 0 R /XYZ 72 720 null]
+>> endobj
+2234 0 obj <<
+/D [2231 0 R /XYZ 72 698.015 null]
+>> endobj
+2230 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2237 0 obj <<
+/Length 1509      
+/Filter /FlateDecode
+>>
+stream
+x��XKo7��W�Q�49|�C�H�
�
+(�8[Z�jmɱ�W}g������i�BXh�
�g��f������Y��4ӮY�O��
g�+�Hy��'"�L��l~�L�N���d�����瓋WB(|'�Z7��B#�bZ�f�|7�u3k%�.�������W�
Y޴ LhD��i��b
+1�dI��n,�=�^6�I��%�2	A/�3
��2�*��*	@]����B׳̴��
+�t�ޒ���Ox���g�V�_���ܑ y���lš0M��xm��rq^E��7��L��Qۅd
��٬����ۤu�����Ư�1w�V̦�a��в0>�ɢ[��MR�-�p��0}��b$�c� �S*��,W���4�n�Ocȅ����;��F%�Nn��0�Y��H�|�ˢ�i�y�A&@b1�뭸M�M&(�ǛO��t}���݁���Z�ʇrIx^�萾�}QK/e��z/�O�
���cN:Qx�Z�e�
,M�Z�@8(!�&Z	x��q�U�f%�1�"��8b��˃��� �Cz�ӁB��\�K.�f��B�x��:IS�M��4E�&ДIBbzS��3+�
�t���R��d�n0钃�Y�ڄv֍t��3m%��2
GT�S	�8����$
��K�k+;Dㅔ�-
+U����5�(�#�/A�;PU��ہ:�1�ƍ�$��mf�O�W��j��O4���n���K1'L_�bm�*�v��+��e��&��F��z��5�����>=)%A~B
n�4=$�|,^�i:+xJӁԄ������N�ܧH�
+ŭ���g�g�,jm9l	����3����oC�:T.
�V���;Mn�)[�`��Ȯߐ��l��e)�ǎ����cȥ��!�ó�B�_n��6�,^
X��$*:�,��r�J1u?	����5
��
+Uh$B��
�T��r�]r�kXcZ�
-뢢
+iQ�Ks$�8|-��yq�P`�vPD��ؘQ��
�R�
�S�Z(*<�\��X��^u:�]$mA����G
+ͼ�.�h�����w�y����̈́��/:Q�~�����&�M��S�����i����sI���eSӧl�>Ԛ
Ϝ5�&�9G�;�^��rpl
P�d��5�Q��
�}N���B���J9��	���h�}�)��
�TdU5G�"Ǣ
V
$��m2nR
���u��l6{��?W���<2�U"�e�~	��G �;)�v�yY�LA�F�bc�:�`g(���@Ʃk��\~
+�~NY!m�C
'�U�g���SK'pO�%.BL����T�<��,ӵ��������A'����M>���Ag�Ҋ�B���QF"gWr48
�q�sE_�&����Ya�CZ�����^�۲�ich��[V���3�߹ߣ�<��! �*��
`1O�
�]�5�,TG)��1�q���
{��gW�W5Fr���uZ��34��u��drS�MkN}�"q�l�"����:`V�����dw
ք�E�����Z��8�endstream
+endobj
+2236 0 obj <<
+/Type /Page
+/Contents 2237 0 R
+/Resources 2235 0 R
+/MediaBox [0 0 612 792]
+/Parent 2202 0 R
+>> endobj
+2229 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/exp-ExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2240 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2241 0 R /F2 2242 0 R /F3 2243 0 R >>
+/ExtGState <<
+>>>>
+/Length 2244 0 R
+>>
+stream
+q
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 329.24 m
+52.95 329.24 l
+53.65 329.24 l
+54.35 329.24 l
+55.04 329.24 l
+55.74 329.25 l
+56.44 329.25 l
+57.13 329.25 l
+57.83 329.26 l
+58.53 329.26 l
+59.22 329.26 l
+59.92 329.27 l
+60.62 329.28 l
+61.31 329.29 l
+62.01 329.29 l
+62.71 329.30 l
+63.40 329.32 l
+64.10 329.33 l
+64.80 329.34 l
+65.49 329.36 l
+66.19 329.38 l
+66.89 329.40 l
+67.58 329.42 l
+68.28 329.45 l
+68.98 329.48 l
+69.67 329.51 l
+70.37 329.54 l
+71.07 329.58 l
+71.76 329.61 l
+72.46 329.66 l
+73.16 329.70 l
+73.85 329.75 l
+74.55 329.80 l
+75.25 329.86 l
+75.94 329.92 l
+76.64 329.98 l
+77.34 330.05 l
+78.03 330.13 l
+78.73 330.20 l
+79.43 330.29 l
+80.12 330.37 l
+80.82 330.46 l
+81.52 330.56 l
+82.21 330.66 l
+82.91 330.76 l
+83.61 330.87 l
+84.30 330.98 l
+85.00 331.09 l
+85.70 331.21 l
+86.39 331.34 l
+87.09 331.46 l
+87.79 331.59 l
+88.48 331.72 l
+89.18 331.85 l
+89.88 331.98 l
+90.57 332.12 l
+91.27 332.26 l
+91.97 332.39 l
+92.66 332.53 l
+93.36 332.67 l
+94.06 332.81 l
+94.75 332.95 l
+95.45 333.09 l
+96.15 333.24 l
+96.84 333.38 l
+97.54 333.53 l
+98.24 333.68 l
+98.93 333.83 l
+99.63 333.98 l
+100.33 334.14 l
+101.02 334.30 l
+101.72 334.47 l
+102.42 334.64 l
+103.11 334.82 l
+103.81 335.00 l
+104.51 335.18 l
+105.20 335.38 l
+105.90 335.58 l
+106.60 335.79 l
+107.29 336.01 l
+107.99 336.24 l
+108.69 336.47 l
+109.38 336.72 l
+110.08 336.97 l
+110.78 337.24 l
+111.47 337.52 l
+112.17 337.82 l
+112.87 338.12 l
+113.56 338.44 l
+114.26 338.76 l
+114.96 339.11 l
+115.65 339.47 l
+116.35 339.84 l
+117.05 340.23 l
+117.74 340.62 l
+118.44 341.04 l
+119.14 341.47 l
+119.83 341.91 l
+120.53 342.36 l
+121.23 342.83 l
+121.92 343.31 l
+122.62 343.80 l
+123.32 344.30 l
+124.01 344.82 l
+124.71 345.35 l
+125.41 345.88 l
+126.10 346.43 l
+126.80 346.99 l
+127.50 347.57 l
+128.19 348.15 l
+128.89 348.74 l
+129.59 349.35 l
+130.28 349.96 l
+130.98 350.59 l
+131.68 351.23 l
+132.37 351.88 l
+133.07 352.55 l
+133.77 353.22 l
+134.46 353.90 l
+135.16 354.60 l
+135.86 355.30 l
+136.55 356.02 l
+137.25 356.74 l
+137.95 357.46 l
+138.64 358.20 l
+139.34 358.93 l
+140.04 359.67 l
+140.73 360.42 l
+141.43 361.17 l
+142.13 361.91 l
+142.82 362.67 l
+143.52 363.42 l
+144.22 364.17 l
+144.91 364.93 l
+145.61 365.69 l
+146.31 366.46 l
+147.00 367.23 l
+147.70 368.01 l
+148.40 368.81 l
+149.09 369.61 l
+149.79 370.44 l
+150.49 371.27 l
+151.18 372.14 l
+151.88 373.02 l
+152.58 373.92 l
+153.27 374.85 l
+153.97 375.80 l
+154.67 376.78 l
+155.36 377.78 l
+156.06 378.81 l
+156.76 379.86 l
+157.45 380.92 l
+158.15 382.01 l
+158.85 383.11 l
+159.54 384.22 l
+160.24 385.33 l
+160.94 386.45 l
+161.63 387.56 l
+162.33 388.66 l
+163.03 389.74 l
+163.72 390.80 l
+164.42 391.83 l
+165.12 392.84 l
+165.81 393.81 l
+166.51 394.74 l
+167.21 395.62 l
+167.90 396.46 l
+168.60 397.24 l
+169.30 397.98 l
+169.99 398.68 l
+170.69 399.31 l
+171.39 399.89 l
+172.08 400.43 l
+172.78 400.92 l
+173.48 401.37 l
+174.17 401.79 l
+174.87 402.16 l
+175.57 402.50 l
+176.26 402.82 l
+176.96 403.12 l
+177.66 403.40 l
+178.35 403.67 l
+179.05 403.93 l
+179.75 404.19 l
+180.44 404.44 l
+181.14 404.70 l
+181.84 404.97 l
+182.53 405.24 l
+183.23 405.52 l
+183.93 405.81 l
+184.62 406.10 l
+185.32 406.40 l
+186.02 406.70 l
+186.71 407.01 l
+187.41 407.32 l
+188.11 407.63 l
+188.80 407.93 l
+189.50 408.22 l
+190.20 408.49 l
+190.89 408.75 l
+191.59 408.99 l
+192.29 409.20 l
+192.98 409.38 l
+193.68 409.53 l
+194.38 409.65 l
+195.07 409.73 l
+195.77 409.77 l
+196.47 409.77 l
+197.16 409.73 l
+197.86 409.65 l
+198.56 409.53 l
+199.25 409.36 l
+199.95 409.15 l
+200.65 408.90 l
+201.34 408.62 l
+202.04 408.30 l
+202.74 407.95 l
+203.43 407.56 l
+204.13 407.15 l
+204.83 406.71 l
+205.52 406.26 l
+206.22 405.78 l
+206.92 405.28 l
+207.61 404.76 l
+208.31 404.23 l
+209.01 403.70 l
+209.70 403.15 l
+210.40 402.59 l
+211.10 402.03 l
+211.79 401.46 l
+212.49 400.88 l
+213.19 400.30 l
+213.88 399.72 l
+214.58 399.13 l
+215.28 398.53 l
+215.97 397.93 l
+216.67 397.32 l
+217.37 396.70 l
+218.06 396.08 l
+218.76 395.44 l
+219.46 394.80 l
+220.15 394.15 l
+220.85 393.49 l
+221.55 392.82 l
+222.24 392.14 l
+222.94 391.45 l
+223.64 390.75 l
+224.33 390.04 l
+225.03 389.32 l
+225.73 388.60 l
+226.42 387.87 l
+227.12 387.14 l
+227.82 386.40 l
+228.51 385.65 l
+229.21 384.90 l
+229.91 384.16 l
+230.60 383.40 l
+231.30 382.65 l
+232.00 381.90 l
+232.69 381.15 l
+233.39 380.39 l
+234.09 379.64 l
+234.78 378.89 l
+235.48 378.13 l
+236.18 377.38 l
+236.87 376.62 l
+237.57 375.86 l
+238.27 375.10 l
+238.96 374.34 l
+239.66 373.58 l
+240.36 372.81 l
+241.05 372.04 l
+241.75 371.27 l
+242.45 370.50 l
+243.14 369.73 l
+243.84 368.96 l
+244.54 368.18 l
+245.23 367.41 l
+245.93 366.64 l
+246.63 365.88 l
+247.32 365.12 l
+248.02 364.37 l
+248.72 363.63 l
+249.41 362.89 l
+250.11 362.17 l
+250.81 361.47 l
+251.50 360.78 l
+252.20 360.10 l
+252.90 359.44 l
+253.59 358.80 l
+254.29 358.17 l
+254.99 357.57 l
+255.68 356.98 l
+256.38 356.41 l
+257.08 355.86 l
+257.77 355.32 l
+258.47 354.80 l
+259.17 354.30 l
+259.86 353.81 l
+260.56 353.33 l
+261.26 352.86 l
+261.95 352.41 l
+262.65 351.96 l
+263.35 351.53 l
+264.04 351.10 l
+264.74 350.68 l
+265.44 350.26 l
+266.13 349.85 l
+266.83 349.45 l
+267.53 349.05 l
+268.22 348.66 l
+268.92 348.28 l
+269.62 347.90 l
+270.31 347.53 l
+271.01 347.16 l
+271.71 346.81 l
+272.40 346.47 l
+273.10 346.13 l
+273.80 345.80 l
+274.49 345.49 l
+275.19 345.19 l
+275.89 344.90 l
+276.58 344.62 l
+277.28 344.35 l
+277.98 344.10 l
+278.67 343.85 l
+279.37 343.62 l
+280.07 343.39 l
+280.76 343.18 l
+281.46 342.97 l
+282.16 342.77 l
+282.85 342.57 l
+283.55 342.37 l
+284.25 342.18 l
+284.94 341.99 l
+285.64 341.79 l
+286.34 341.59 l
+287.03 341.39 l
+287.73 341.18 l
+288.43 340.97 l
+289.12 340.75 l
+289.82 340.52 l
+290.52 340.28 l
+291.21 340.04 l
+291.91 339.79 l
+292.61 339.53 l
+293.30 339.26 l
+294.00 338.99 l
+294.70 338.71 l
+295.39 338.43 l
+296.09 338.14 l
+296.79 337.85 l
+297.48 337.56 l
+298.18 337.27 l
+298.88 336.99 l
+299.57 336.70 l
+300.27 336.42 l
+300.97 336.14 l
+301.67 335.87 l
+302.36 335.60 l
+303.06 335.34 l
+303.76 335.09 l
+304.45 334.85 l
+305.15 334.62 l
+305.85 334.39 l
+306.54 334.18 l
+307.24 333.97 l
+307.94 333.78 l
+308.63 333.60 l
+309.33 333.42 l
+310.03 333.25 l
+310.72 333.10 l
+311.42 332.95 l
+312.12 332.81 l
+312.81 332.67 l
+313.51 332.55 l
+314.21 332.43 l
+314.90 332.32 l
+315.60 332.21 l
+316.30 332.10 l
+316.99 332.00 l
+317.69 331.91 l
+318.39 331.81 l
+319.08 331.72 l
+319.78 331.63 l
+320.48 331.54 l
+321.17 331.46 l
+321.87 331.37 l
+322.57 331.28 l
+323.26 331.19 l
+323.96 331.11 l
+324.66 331.02 l
+325.35 330.93 l
+326.05 330.84 l
+326.75 330.76 l
+327.44 330.67 l
+328.14 330.58 l
+328.84 330.50 l
+329.53 330.41 l
+330.23 330.33 l
+330.93 330.25 l
+331.62 330.17 l
+332.32 330.10 l
+333.02 330.02 l
+333.71 329.95 l
+334.41 329.89 l
+335.11 329.82 l
+335.80 329.77 l
+336.50 329.71 l
+337.20 329.66 l
+337.89 329.61 l
+338.59 329.57 l
+339.29 329.53 l
+339.98 329.49 l
+340.68 329.46 l
+341.38 329.43 l
+342.07 329.40 l
+342.77 329.38 l
+343.47 329.36 l
+344.16 329.34 l
+344.86 329.32 l
+345.56 329.31 l
+346.25 329.30 l
+346.95 329.29 l
+347.65 329.28 l
+348.34 329.27 l
+349.04 329.26 l
+349.74 329.26 l
+350.43 329.25 l
+351.13 329.25 l
+351.83 329.25 l
+352.52 329.25 l
+353.22 329.25 l
+353.92 329.25 l
+354.61 329.25 l
+355.31 329.25 l
+356.01 329.25 l
+356.70 329.25 l
+357.40 329.25 l
+358.10 329.26 l
+358.79 329.26 l
+359.49 329.27 l
+360.19 329.27 l
+360.88 329.28 l
+361.58 329.28 l
+362.28 329.29 l
+362.97 329.30 l
+363.67 329.31 l
+364.37 329.32 l
+365.06 329.33 l
+365.76 329.34 l
+366.46 329.36 l
+367.15 329.37 l
+367.85 329.38 l
+368.55 329.40 l
+369.24 329.41 l
+369.94 329.43 l
+370.64 329.45 l
+371.33 329.46 l
+372.03 329.48 l
+372.73 329.49 l
+373.42 329.51 l
+374.12 329.52 l
+374.82 329.54 l
+375.51 329.55 l
+376.21 329.56 l
+376.91 329.57 l
+377.60 329.58 l
+378.30 329.58 l
+379.00 329.59 l
+379.69 329.59 l
+380.39 329.59 l
+381.09 329.59 l
+381.78 329.58 l
+382.48 329.58 l
+383.18 329.57 l
+383.87 329.56 l
+384.57 329.55 l
+385.27 329.54 l
+385.96 329.53 l
+386.66 329.51 l
+387.36 329.50 l
+388.05 329.48 l
+388.75 329.47 l
+389.45 329.45 l
+390.14 329.43 l
+390.84 329.42 l
+391.54 329.40 l
+392.23 329.39 l
+392.93 329.37 l
+393.63 329.36 l
+394.32 329.35 l
+395.02 329.33 l
+395.72 329.32 l
+396.41 329.31 l
+397.11 329.30 l
+397.81 329.29 l
+398.50 329.29 l
+399.20 329.28 l
+399.90 329.27 l
+400.59 329.27 l
+401.29 329.26 l
+401.99 329.26 l
+402.68 329.25 l
+403.38 329.25 l
+404.08 329.25 l
+404.77 329.24 l
+405.47 329.24 l
+406.17 329.24 l
+406.86 329.24 l
+407.56 329.24 l
+408.26 329.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+42.74 326.02 m 395.83 326.02 l S
+42.74 326.02 m 42.74 323.64 l S
+101.59 326.02 m 101.59 323.64 l S
+160.44 326.02 m 160.44 323.64 l S
+219.29 326.02 m 219.29 323.64 l S
+278.13 326.02 m 278.13 323.64 l S
+336.98 326.02 m 336.98 323.64 l S
+395.83 326.02 m 395.83 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 38.29 312.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 97.14 312.71 Tm (12) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 155.99 312.71 Tm (14) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 214.84 312.71 Tm (16) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 273.69 312.71 Tm (18) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 332.54 312.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 391.38 312.71 Tm (22) Tj
+ET
+38.02 329.23 m 38.02 400.20 l S
+38.02 329.23 m 35.64 329.23 l S
+38.02 343.43 m 35.64 343.43 l S
+38.02 357.62 m 35.64 357.62 l S
+38.02 371.81 m 35.64 371.81 l S
+38.02 386.00 m 35.64 386.00 l S
+38.02 400.20 m 35.64 400.20 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 321.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 349.83 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 378.22 Tm (0.20) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 418.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 356.17 Tm (Density) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.23 m 422.50 329.23 l S
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 185.39 m
+52.95 185.45 l
+53.65 185.53 l
+54.35 185.64 l
+55.04 185.78 l
+55.74 185.96 l
+56.44 186.21 l
+57.13 186.51 l
+57.83 186.90 l
+58.53 187.38 l
+59.22 187.96 l
+59.92 188.67 l
+60.62 189.53 l
+61.31 190.58 l
+62.01 191.82 l
+62.71 193.25 l
+63.40 194.90 l
+64.10 196.79 l
+64.80 198.91 l
+65.49 201.27 l
+66.19 203.91 l
+66.89 206.80 l
+67.58 209.91 l
+68.28 213.23 l
+68.98 216.72 l
+69.67 220.37 l
+70.37 224.12 l
+71.07 227.96 l
+71.76 231.82 l
+72.46 235.64 l
+73.16 239.39 l
+73.85 243.01 l
+74.55 246.47 l
+75.25 249.73 l
+75.94 252.74 l
+76.64 255.47 l
+77.34 257.87 l
+78.03 259.95 l
+78.73 261.71 l
+79.43 263.15 l
+80.12 264.26 l
+80.82 265.07 l
+81.52 265.58 l
+82.21 265.77 l
+82.91 265.70 l
+83.61 265.40 l
+84.30 264.89 l
+85.00 264.20 l
+85.70 263.34 l
+86.39 262.35 l
+87.09 261.23 l
+87.79 260.00 l
+88.48 258.69 l
+89.18 257.32 l
+89.88 255.90 l
+90.57 254.43 l
+91.27 252.93 l
+91.97 251.41 l
+92.66 249.87 l
+93.36 248.33 l
+94.06 246.78 l
+94.75 245.24 l
+95.45 243.72 l
+96.15 242.22 l
+96.84 240.74 l
+97.54 239.30 l
+98.24 237.91 l
+98.93 236.56 l
+99.63 235.28 l
+100.33 234.05 l
+101.02 232.88 l
+101.72 231.78 l
+102.42 230.75 l
+103.11 229.79 l
+103.81 228.91 l
+104.51 228.08 l
+105.20 227.31 l
+105.90 226.60 l
+106.60 225.93 l
+107.29 225.31 l
+107.99 224.72 l
+108.69 224.16 l
+109.38 223.63 l
+110.08 223.11 l
+110.78 222.60 l
+111.47 222.10 l
+112.17 221.60 l
+112.87 221.10 l
+113.56 220.60 l
+114.26 220.10 l
+114.96 219.59 l
+115.65 219.08 l
+116.35 218.55 l
+117.05 218.03 l
+117.74 217.49 l
+118.44 216.95 l
+119.14 216.40 l
+119.83 215.84 l
+120.53 215.28 l
+121.23 214.71 l
+121.92 214.15 l
+122.62 213.58 l
+123.32 213.01 l
+124.01 212.44 l
+124.71 211.88 l
+125.41 211.32 l
+126.10 210.78 l
+126.80 210.24 l
+127.50 209.72 l
+128.19 209.21 l
+128.89 208.71 l
+129.59 208.22 l
+130.28 207.75 l
+130.98 207.29 l
+131.68 206.85 l
+132.37 206.41 l
+133.07 205.97 l
+133.77 205.55 l
+134.46 205.13 l
+135.16 204.71 l
+135.86 204.30 l
+136.55 203.89 l
+137.25 203.48 l
+137.95 203.08 l
+138.64 202.68 l
+139.34 202.30 l
+140.04 201.92 l
+140.73 201.56 l
+141.43 201.22 l
+142.13 200.90 l
+142.82 200.60 l
+143.52 200.32 l
+144.22 200.06 l
+144.91 199.82 l
+145.61 199.61 l
+146.31 199.41 l
+147.00 199.23 l
+147.70 199.06 l
+148.40 198.89 l
+149.09 198.73 l
+149.79 198.56 l
+150.49 198.39 l
+151.18 198.20 l
+151.88 198.00 l
+152.58 197.79 l
+153.27 197.55 l
+153.97 197.30 l
+154.67 197.03 l
+155.36 196.74 l
+156.06 196.43 l
+156.76 196.11 l
+157.45 195.79 l
+158.15 195.45 l
+158.85 195.12 l
+159.54 194.79 l
+160.24 194.46 l
+160.94 194.14 l
+161.63 193.84 l
+162.33 193.55 l
+163.03 193.27 l
+163.72 193.01 l
+164.42 192.77 l
+165.12 192.54 l
+165.81 192.33 l
+166.51 192.13 l
+167.21 191.95 l
+167.90 191.79 l
+168.60 191.63 l
+169.30 191.48 l
+169.99 191.34 l
+170.69 191.21 l
+171.39 191.09 l
+172.08 190.96 l
+172.78 190.85 l
+173.48 190.74 l
+174.17 190.63 l
+174.87 190.52 l
+175.57 190.41 l
+176.26 190.31 l
+176.96 190.21 l
+177.66 190.11 l
+178.35 190.01 l
+179.05 189.92 l
+179.75 189.83 l
+180.44 189.75 l
+181.14 189.67 l
+181.84 189.59 l
+182.53 189.52 l
+183.23 189.46 l
+183.93 189.40 l
+184.62 189.34 l
+185.32 189.29 l
+186.02 189.24 l
+186.71 189.19 l
+187.41 189.15 l
+188.11 189.11 l
+188.80 189.07 l
+189.50 189.03 l
+190.20 188.99 l
+190.89 188.96 l
+191.59 188.93 l
+192.29 188.89 l
+192.98 188.86 l
+193.68 188.83 l
+194.38 188.81 l
+195.07 188.78 l
+195.77 188.76 l
+196.47 188.74 l
+197.16 188.73 l
+197.86 188.71 l
+198.56 188.70 l
+199.25 188.70 l
+199.95 188.69 l
+200.65 188.69 l
+201.34 188.69 l
+202.04 188.69 l
+202.74 188.69 l
+203.43 188.69 l
+204.13 188.69 l
+204.83 188.69 l
+205.52 188.69 l
+206.22 188.69 l
+206.92 188.69 l
+207.61 188.69 l
+208.31 188.68 l
+209.01 188.68 l
+209.70 188.67 l
+210.40 188.66 l
+211.10 188.65 l
+211.79 188.64 l
+212.49 188.62 l
+213.19 188.60 l
+213.88 188.58 l
+214.58 188.55 l
+215.28 188.52 l
+215.97 188.49 l
+216.67 188.45 l
+217.37 188.41 l
+218.06 188.37 l
+218.76 188.32 l
+219.46 188.26 l
+220.15 188.20 l
+220.85 188.14 l
+221.55 188.07 l
+222.24 187.99 l
+222.94 187.91 l
+223.64 187.83 l
+224.33 187.74 l
+225.03 187.64 l
+225.73 187.55 l
+226.42 187.45 l
+227.12 187.34 l
+227.82 187.24 l
+228.51 187.14 l
+229.21 187.03 l
+229.91 186.93 l
+230.60 186.83 l
+231.30 186.74 l
+232.00 186.65 l
+232.69 186.57 l
+233.39 186.50 l
+234.09 186.43 l
+234.78 186.37 l
+235.48 186.31 l
+236.18 186.27 l
+236.87 186.23 l
+237.57 186.20 l
+238.27 186.17 l
+238.96 186.15 l
+239.66 186.13 l
+240.36 186.12 l
+241.05 186.10 l
+241.75 186.09 l
+242.45 186.08 l
+243.14 186.07 l
+243.84 186.05 l
+244.54 186.03 l
+245.23 186.02 l
+245.93 185.99 l
+246.63 185.97 l
+247.32 185.95 l
+248.02 185.92 l
+248.72 185.89 l
+249.41 185.87 l
+250.11 185.84 l
+250.81 185.81 l
+251.50 185.79 l
+252.20 185.76 l
+252.90 185.74 l
+253.59 185.72 l
+254.29 185.70 l
+254.99 185.69 l
+255.68 185.67 l
+256.38 185.66 l
+257.08 185.65 l
+257.77 185.65 l
+258.47 185.65 l
+259.17 185.65 l
+259.86 185.65 l
+260.56 185.66 l
+261.26 185.67 l
+261.95 185.69 l
+262.65 185.71 l
+263.35 185.73 l
+264.04 185.75 l
+264.74 185.78 l
+265.44 185.81 l
+266.13 185.84 l
+266.83 185.87 l
+267.53 185.89 l
+268.22 185.92 l
+268.92 185.94 l
+269.62 185.96 l
+270.31 185.98 l
+271.01 185.99 l
+271.71 186.00 l
+272.40 186.00 l
+273.10 186.00 l
+273.80 185.99 l
+274.49 185.98 l
+275.19 185.96 l
+275.89 185.94 l
+276.58 185.92 l
+277.28 185.89 l
+277.98 185.86 l
+278.67 185.84 l
+279.37 185.81 l
+280.07 185.78 l
+280.76 185.75 l
+281.46 185.72 l
+282.16 185.70 l
+282.85 185.67 l
+283.55 185.65 l
+284.25 185.62 l
+284.94 185.60 l
+285.64 185.58 l
+286.34 185.57 l
+287.03 185.55 l
+287.73 185.54 l
+288.43 185.52 l
+289.12 185.51 l
+289.82 185.51 l
+290.52 185.50 l
+291.21 185.50 l
+291.91 185.49 l
+292.61 185.49 l
+293.30 185.49 l
+294.00 185.49 l
+294.70 185.49 l
+295.39 185.50 l
+296.09 185.50 l
+296.79 185.50 l
+297.48 185.50 l
+298.18 185.50 l
+298.88 185.49 l
+299.57 185.49 l
+300.27 185.48 l
+300.97 185.47 l
+301.67 185.46 l
+302.36 185.45 l
+303.06 185.44 l
+303.76 185.42 l
+304.45 185.41 l
+305.15 185.39 l
+305.85 185.38 l
+306.54 185.36 l
+307.24 185.35 l
+307.94 185.33 l
+308.63 185.32 l
+309.33 185.31 l
+310.03 185.30 l
+310.72 185.29 l
+311.42 185.28 l
+312.12 185.27 l
+312.81 185.27 l
+313.51 185.26 l
+314.21 185.26 l
+314.90 185.25 l
+315.60 185.25 l
+316.30 185.25 l
+316.99 185.24 l
+317.69 185.24 l
+318.39 185.24 l
+319.08 185.24 l
+319.78 185.24 l
+320.48 185.24 l
+321.17 185.24 l
+321.87 185.24 l
+322.57 185.24 l
+323.26 185.24 l
+323.96 185.24 l
+324.66 185.24 l
+325.35 185.24 l
+326.05 185.24 l
+326.75 185.24 l
+327.44 185.24 l
+328.14 185.24 l
+328.84 185.24 l
+329.53 185.24 l
+330.23 185.24 l
+330.93 185.24 l
+331.62 185.24 l
+332.32 185.24 l
+333.02 185.24 l
+333.71 185.24 l
+334.41 185.24 l
+335.11 185.24 l
+335.80 185.24 l
+336.50 185.24 l
+337.20 185.24 l
+337.89 185.24 l
+338.59 185.24 l
+339.29 185.24 l
+339.98 185.24 l
+340.68 185.24 l
+341.38 185.24 l
+342.07 185.24 l
+342.77 185.24 l
+343.47 185.24 l
+344.16 185.24 l
+344.86 185.24 l
+345.56 185.24 l
+346.25 185.24 l
+346.95 185.24 l
+347.65 185.24 l
+348.34 185.24 l
+349.04 185.24 l
+349.74 185.24 l
+350.43 185.24 l
+351.13 185.24 l
+351.83 185.24 l
+352.52 185.24 l
+353.22 185.24 l
+353.92 185.24 l
+354.61 185.24 l
+355.31 185.24 l
+356.01 185.24 l
+356.70 185.24 l
+357.40 185.24 l
+358.10 185.24 l
+358.79 185.24 l
+359.49 185.24 l
+360.19 185.24 l
+360.88 185.24 l
+361.58 185.24 l
+362.28 185.24 l
+362.97 185.24 l
+363.67 185.24 l
+364.37 185.24 l
+365.06 185.24 l
+365.76 185.24 l
+366.46 185.24 l
+367.15 185.24 l
+367.85 185.24 l
+368.55 185.24 l
+369.24 185.24 l
+369.94 185.24 l
+370.64 185.25 l
+371.33 185.25 l
+372.03 185.25 l
+372.73 185.26 l
+373.42 185.26 l
+374.12 185.27 l
+374.82 185.27 l
+375.51 185.28 l
+376.21 185.29 l
+376.91 185.30 l
+377.60 185.31 l
+378.30 185.32 l
+379.00 185.33 l
+379.69 185.35 l
+380.39 185.36 l
+381.09 185.38 l
+381.78 185.39 l
+382.48 185.40 l
+383.18 185.42 l
+383.87 185.43 l
+384.57 185.44 l
+385.27 185.45 l
+385.96 185.46 l
+386.66 185.47 l
+387.36 185.47 l
+388.05 185.47 l
+388.75 185.47 l
+389.45 185.47 l
+390.14 185.46 l
+390.84 185.45 l
+391.54 185.44 l
+392.23 185.43 l
+392.93 185.42 l
+393.63 185.41 l
+394.32 185.39 l
+395.02 185.38 l
+395.72 185.36 l
+396.41 185.35 l
+397.11 185.33 l
+397.81 185.32 l
+398.50 185.31 l
+399.20 185.30 l
+399.90 185.29 l
+400.59 185.28 l
+401.29 185.27 l
+401.99 185.27 l
+402.68 185.26 l
+403.38 185.26 l
+404.08 185.25 l
+404.77 185.25 l
+405.47 185.25 l
+406.17 185.24 l
+406.86 185.24 l
+407.56 185.24 l
+408.26 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+72.39 182.02 m 380.39 182.02 l S
+72.39 182.02 m 72.39 179.64 l S
+123.72 182.02 m 123.72 179.64 l S
+175.06 182.02 m 175.06 179.64 l S
+226.39 182.02 m 226.39 179.64 l S
+277.72 182.02 m 277.72 179.64 l S
+329.05 182.02 m 329.05 179.64 l S
+380.39 182.02 m 380.39 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 70.17 168.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 119.27 168.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 170.61 168.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 221.94 168.71 Tm (60) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 273.27 168.71 Tm (80) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 322.38 168.71 Tm (100) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 373.71 168.71 Tm (120) Tj
+ET
+38.02 185.24 m 38.02 263.02 l S
+38.02 185.24 m 35.64 185.24 l S
+38.02 200.79 m 35.64 200.79 l S
+38.02 216.35 m 35.64 216.35 l S
+38.02 231.91 m 35.64 231.91 l S
+38.02 247.46 m 35.64 247.46 l S
+38.02 263.02 m 35.64 263.02 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 177.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 208.57 Tm (0.02) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 239.68 Tm (0.04) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 274.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.24 m 422.50 185.24 l S
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 41.24 m
+52.95 41.24 l
+53.65 41.24 l
+54.35 41.24 l
+55.04 41.24 l
+55.74 41.25 l
+56.44 41.25 l
+57.13 41.25 l
+57.83 41.25 l
+58.53 41.26 l
+59.22 41.26 l
+59.92 41.27 l
+60.62 41.28 l
+61.31 41.28 l
+62.01 41.29 l
+62.71 41.30 l
+63.40 41.31 l
+64.10 41.32 l
+64.80 41.34 l
+65.49 41.35 l
+66.19 41.37 l
+66.89 41.38 l
+67.58 41.40 l
+68.28 41.42 l
+68.98 41.45 l
+69.67 41.47 l
+70.37 41.50 l
+71.07 41.53 l
+71.76 41.56 l
+72.46 41.60 l
+73.16 41.64 l
+73.85 41.68 l
+74.55 41.72 l
+75.25 41.77 l
+75.94 41.81 l
+76.64 41.86 l
+77.34 41.92 l
+78.03 41.97 l
+78.73 42.03 l
+79.43 42.10 l
+80.12 42.16 l
+80.82 42.23 l
+81.52 42.30 l
+82.21 42.38 l
+82.91 42.45 l
+83.61 42.53 l
+84.30 42.62 l
+85.00 42.71 l
+85.70 42.80 l
+86.39 42.89 l
+87.09 42.99 l
+87.79 43.09 l
+88.48 43.20 l
+89.18 43.31 l
+89.88 43.42 l
+90.57 43.54 l
+91.27 43.66 l
+91.97 43.78 l
+92.66 43.91 l
+93.36 44.04 l
+94.06 44.18 l
+94.75 44.31 l
+95.45 44.45 l
+96.15 44.59 l
+96.84 44.74 l
+97.54 44.88 l
+98.24 45.03 l
+98.93 45.18 l
+99.63 45.33 l
+100.33 45.48 l
+101.02 45.63 l
+101.72 45.78 l
+102.42 45.93 l
+103.11 46.08 l
+103.81 46.24 l
+104.51 46.39 l
+105.20 46.54 l
+105.90 46.69 l
+106.60 46.84 l
+107.29 46.99 l
+107.99 47.14 l
+108.69 47.29 l
+109.38 47.44 l
+110.08 47.59 l
+110.78 47.75 l
+111.47 47.90 l
+112.17 48.05 l
+112.87 48.21 l
+113.56 48.36 l
+114.26 48.52 l
+114.96 48.68 l
+115.65 48.85 l
+116.35 49.01 l
+117.05 49.18 l
+117.74 49.36 l
+118.44 49.53 l
+119.14 49.71 l
+119.83 49.90 l
+120.53 50.08 l
+121.23 50.27 l
+121.92 50.47 l
+122.62 50.66 l
+123.32 50.87 l
+124.01 51.07 l
+124.71 51.28 l
+125.41 51.50 l
+126.10 51.71 l
+126.80 51.93 l
+127.50 52.16 l
+128.19 52.39 l
+128.89 52.62 l
+129.59 52.86 l
+130.28 53.11 l
+130.98 53.36 l
+131.68 53.62 l
+132.37 53.88 l
+133.07 54.15 l
+133.77 54.43 l
+134.46 54.72 l
+135.16 55.02 l
+135.86 55.33 l
+136.55 55.65 l
+137.25 55.98 l
+137.95 56.33 l
+138.64 56.69 l
+139.34 57.06 l
+140.04 57.45 l
+140.73 57.85 l
+141.43 58.26 l
+142.13 58.69 l
+142.82 59.14 l
+143.52 59.60 l
+144.22 60.08 l
+144.91 60.57 l
+145.61 61.07 l
+146.31 61.59 l
+147.00 62.12 l
+147.70 62.66 l
+148.40 63.22 l
+149.09 63.78 l
+149.79 64.36 l
+150.49 64.94 l
+151.18 65.52 l
+151.88 66.11 l
+152.58 66.71 l
+153.27 67.31 l
+153.97 67.91 l
+154.67 68.52 l
+155.36 69.12 l
+156.06 69.73 l
+156.76 70.33 l
+157.45 70.94 l
+158.15 71.55 l
+158.85 72.16 l
+159.54 72.76 l
+160.24 73.38 l
+160.94 73.99 l
+161.63 74.61 l
+162.33 75.24 l
+163.03 75.87 l
+163.72 76.51 l
+164.42 77.16 l
+165.12 77.82 l
+165.81 78.50 l
+166.51 79.19 l
+167.21 79.90 l
+167.90 80.63 l
+168.60 81.37 l
+169.30 82.14 l
+169.99 82.92 l
+170.69 83.72 l
+171.39 84.54 l
+172.08 85.39 l
+172.78 86.24 l
+173.48 87.12 l
+174.17 88.01 l
+174.87 88.91 l
+175.57 89.83 l
+176.26 90.75 l
+176.96 91.68 l
+177.66 92.61 l
+178.35 93.55 l
+179.05 94.48 l
+179.75 95.41 l
+180.44 96.34 l
+181.14 97.26 l
+181.84 98.16 l
+182.53 99.05 l
+183.23 99.93 l
+183.93 100.80 l
+184.62 101.64 l
+185.32 102.47 l
+186.02 103.28 l
+186.71 104.07 l
+187.41 104.84 l
+188.11 105.60 l
+188.80 106.33 l
+189.50 107.05 l
+190.20 107.75 l
+190.89 108.44 l
+191.59 109.11 l
+192.29 109.76 l
+192.98 110.41 l
+193.68 111.03 l
+194.38 111.65 l
+195.07 112.25 l
+195.77 112.85 l
+196.47 113.43 l
+197.16 114.00 l
+197.86 114.56 l
+198.56 115.10 l
+199.25 115.64 l
+199.95 116.16 l
+200.65 116.66 l
+201.34 117.15 l
+202.04 117.61 l
+202.74 118.07 l
+203.43 118.50 l
+204.13 118.91 l
+204.83 119.29 l
+205.52 119.65 l
+206.22 119.99 l
+206.92 120.29 l
+207.61 120.58 l
+208.31 120.83 l
+209.01 121.05 l
+209.70 121.24 l
+210.40 121.41 l
+211.10 121.54 l
+211.79 121.65 l
+212.49 121.72 l
+213.19 121.76 l
+213.88 121.77 l
+214.58 121.76 l
+215.28 121.71 l
+215.97 121.64 l
+216.67 121.53 l
+217.37 121.40 l
+218.06 121.25 l
+218.76 121.07 l
+219.46 120.87 l
+220.15 120.63 l
+220.85 120.38 l
+221.55 120.10 l
+222.24 119.81 l
+222.94 119.49 l
+223.64 119.15 l
+224.33 118.79 l
+225.03 118.42 l
+225.73 118.03 l
+226.42 117.63 l
+227.12 117.21 l
+227.82 116.79 l
+228.51 116.36 l
+229.21 115.92 l
+229.91 115.48 l
+230.60 115.03 l
+231.30 114.59 l
+232.00 114.15 l
+232.69 113.72 l
+233.39 113.29 l
+234.09 112.87 l
+234.78 112.47 l
+235.48 112.08 l
+236.18 111.71 l
+236.87 111.35 l
+237.57 111.00 l
+238.27 110.68 l
+238.96 110.37 l
+239.66 110.08 l
+240.36 109.81 l
+241.05 109.55 l
+241.75 109.31 l
+242.45 109.08 l
+243.14 108.87 l
+243.84 108.66 l
+244.54 108.45 l
+245.23 108.25 l
+245.93 108.04 l
+246.63 107.84 l
+247.32 107.62 l
+248.02 107.39 l
+248.72 107.15 l
+249.41 106.89 l
+250.11 106.61 l
+250.81 106.31 l
+251.50 105.98 l
+252.20 105.62 l
+252.90 105.24 l
+253.59 104.81 l
+254.29 104.36 l
+254.99 103.87 l
+255.68 103.35 l
+256.38 102.80 l
+257.08 102.20 l
+257.77 101.57 l
+258.47 100.91 l
+259.17 100.22 l
+259.86 99.50 l
+260.56 98.74 l
+261.26 97.95 l
+261.95 97.14 l
+262.65 96.30 l
+263.35 95.45 l
+264.04 94.56 l
+264.74 93.66 l
+265.44 92.74 l
+266.13 91.81 l
+266.83 90.86 l
+267.53 89.90 l
+268.22 88.94 l
+268.92 87.96 l
+269.62 86.99 l
+270.31 86.02 l
+271.01 85.04 l
+271.71 84.07 l
+272.40 83.11 l
+273.10 82.16 l
+273.80 81.23 l
+274.49 80.30 l
+275.19 79.39 l
+275.89 78.51 l
+276.58 77.65 l
+277.28 76.80 l
+277.98 75.98 l
+278.67 75.19 l
+279.37 74.43 l
+280.07 73.69 l
+280.76 72.98 l
+281.46 72.29 l
+282.16 71.63 l
+282.85 70.99 l
+283.55 70.38 l
+284.25 69.79 l
+284.94 69.22 l
+285.64 68.67 l
+286.34 68.14 l
+287.03 67.62 l
+287.73 67.11 l
+288.43 66.61 l
+289.12 66.11 l
+289.82 65.62 l
+290.52 65.14 l
+291.21 64.65 l
+291.91 64.16 l
+292.61 63.67 l
+293.30 63.18 l
+294.00 62.68 l
+294.70 62.17 l
+295.39 61.66 l
+296.09 61.14 l
+296.79 60.62 l
+297.48 60.09 l
+298.18 59.56 l
+298.88 59.02 l
+299.57 58.49 l
+300.27 57.95 l
+300.97 57.42 l
+301.67 56.89 l
+302.36 56.36 l
+303.06 55.84 l
+303.76 55.33 l
+304.45 54.83 l
+305.15 54.34 l
+305.85 53.87 l
+306.54 53.40 l
+307.24 52.96 l
+307.94 52.53 l
+308.63 52.12 l
+309.33 51.72 l
+310.03 51.35 l
+310.72 50.99 l
+311.42 50.65 l
+312.12 50.33 l
+312.81 50.03 l
+313.51 49.75 l
+314.21 49.49 l
+314.90 49.24 l
+315.60 49.01 l
+316.30 48.79 l
+316.99 48.59 l
+317.69 48.40 l
+318.39 48.22 l
+319.08 48.06 l
+319.78 47.90 l
+320.48 47.76 l
+321.17 47.62 l
+321.87 47.50 l
+322.57 47.38 l
+323.26 47.26 l
+323.96 47.15 l
+324.66 47.05 l
+325.35 46.95 l
+326.05 46.85 l
+326.75 46.75 l
+327.44 46.66 l
+328.14 46.57 l
+328.84 46.48 l
+329.53 46.39 l
+330.23 46.29 l
+330.93 46.20 l
+331.62 46.11 l
+332.32 46.01 l
+333.02 45.91 l
+333.71 45.81 l
+334.41 45.71 l
+335.11 45.60 l
+335.80 45.50 l
+336.50 45.38 l
+337.20 45.27 l
+337.89 45.15 l
+338.59 45.03 l
+339.29 44.91 l
+339.98 44.79 l
+340.68 44.66 l
+341.38 44.54 l
+342.07 44.41 l
+342.77 44.28 l
+343.47 44.15 l
+344.16 44.02 l
+344.86 43.90 l
+345.56 43.77 l
+346.25 43.64 l
+346.95 43.52 l
+347.65 43.40 l
+348.34 43.29 l
+349.04 43.17 l
+349.74 43.07 l
+350.43 42.96 l
+351.13 42.86 l
+351.83 42.77 l
+352.52 42.68 l
+353.22 42.60 l
+353.92 42.52 l
+354.61 42.45 l
+355.31 42.38 l
+356.01 42.32 l
+356.70 42.26 l
+357.40 42.21 l
+358.10 42.17 l
+358.79 42.13 l
+359.49 42.09 l
+360.19 42.06 l
+360.88 42.03 l
+361.58 42.00 l
+362.28 41.98 l
+362.97 41.96 l
+363.67 41.94 l
+364.37 41.93 l
+365.06 41.92 l
+365.76 41.91 l
+366.46 41.90 l
+367.15 41.89 l
+367.85 41.88 l
+368.55 41.87 l
+369.24 41.86 l
+369.94 41.86 l
+370.64 41.85 l
+371.33 41.84 l
+372.03 41.83 l
+372.73 41.82 l
+373.42 41.81 l
+374.12 41.80 l
+374.82 41.79 l
+375.51 41.78 l
+376.21 41.77 l
+376.91 41.76 l
+377.60 41.74 l
+378.30 41.73 l
+379.00 41.71 l
+379.69 41.69 l
+380.39 41.68 l
+381.09 41.66 l
+381.78 41.64 l
+382.48 41.62 l
+383.18 41.60 l
+383.87 41.58 l
+384.57 41.56 l
+385.27 41.54 l
+385.96 41.52 l
+386.66 41.50 l
+387.36 41.48 l
+388.05 41.47 l
+388.75 41.45 l
+389.45 41.43 l
+390.14 41.41 l
+390.84 41.40 l
+391.54 41.38 l
+392.23 41.37 l
+392.93 41.35 l
+393.63 41.34 l
+394.32 41.33 l
+395.02 41.32 l
+395.72 41.31 l
+396.41 41.30 l
+397.11 41.29 l
+397.81 41.29 l
+398.50 41.28 l
+399.20 41.27 l
+399.90 41.27 l
+400.59 41.26 l
+401.29 41.26 l
+401.99 41.25 l
+402.68 41.25 l
+403.38 41.25 l
+404.08 41.25 l
+404.77 41.24 l
+405.47 41.24 l
+406.17 41.24 l
+406.86 41.24 l
+407.56 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+49.70 38.02 m 333.29 38.02 l S
+49.70 38.02 m 49.70 35.64 l S
+144.23 38.02 m 144.23 35.64 l S
+238.76 38.02 m 238.76 35.64 l S
+333.29 38.02 m 333.29 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 47.47 24.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 142.00 24.71 Tm (5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 234.31 24.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 328.84 24.71 Tm (15) Tj
+ET
+38.02 41.23 m 38.02 113.96 l S
+38.02 41.23 m 35.64 41.23 l S
+38.02 65.48 m 35.64 65.48 l S
+38.02 89.72 m 35.64 89.72 l S
+38.02 113.96 m 35.64 113.96 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 33.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 57.69 Tm (0.05) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 81.93 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 106.18 Tm (0.15) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 152.70 130.91 Tm (First Differences: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.23 m 422.50 41.23 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2240 0 obj
+<<
+/CreationDate (D:20070601023601)
+/ModDate (D:20070601023601)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2241 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2242 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2245 0 R
+>>
+endobj
+2243 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2245 0 R
+>>
+endobj
+2244 0 obj
+28655
+endobj
+2245 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2238 0 obj <<
+/D [2236 0 R /XYZ 72 720 null]
+>> endobj
+2239 0 obj <<
+/D [2236 0 R /XYZ 72 306.805 null]
+>> endobj
+2235 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F38 1435 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R >>
+/XObject << /Im13 2229 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2248 0 obj <<
+/Length 2671      
+/Filter /FlateDecode
+>>
+stream
+x��ZKs���W�Y����HJ���+��l��M��̇Ĕ(�"���ק�`����l� q8� �~|�uc~����)c�)5�\Oe�k55�*�����q�f��
=;��n���^
�=�
�fS��€b^I87�w2o$���œ�0���=��+����W�~��
��#��8|�QF�c�l��x�/�_�a��\?�˜��MQ�^W6e`�:��;U�2�$J��z�)��<�xS��	b�{Z~�
^]o�Y��{��?F3����\�\�Cv9��Nf̴a�HP+J�t��
+�\�.�G2��
��lQ���8aVO
т�q�
+�
��	��g#S*�M�vD�
+t@�qPm��#aL��:gr�}e
+E�O;gR��6SĊ4�{�}��
��[�S���v��N�Џj��l���w����1|�
^�5p�C�f��%+ �n<�)fg���r�x��
��a�$�����W�~
�g��50g��?j�A//

RK��x��4�p#��Y�&���a��3�n��@W��pܺ[�sib
�[u�4��D�3�m��Y
�
�b��Y��Y�
Hw
_������������×$�%
^TR����(5�� �r�
��+�0CK�J{�e�y�<
�V�/��}x�Ę��ްէ�u�!�7
���>�q�LJ� AޅD at 0��y���G W3O��Qz
+4�Z?�����	Z�N�T�Ѵ�S
i���b;�0y��N�:�eB����"
�};���,~�������Ԥ��n����i��rj���8��r
AH��~Ԧ�B v��ҜA�~[���?V��+`��
+思(�6�+�g	n4Fk"C�Ve�<
�R)��j
+�����j��*֌���S��9]͜�4��S��`i*Q3;��
8�_��t��_-���0�@9e�����-�`�&�6�9 
n"�O���sH��`H��W_�-���Ȋ�J�����V�R}Y?k^����xR�%ȯI���FmI[@�T���"��WW��W��u�ׁ^g�m��=�[��O�6�p����*<9�J�Ma;�x�-������yZn'>�ͬOU��۴
�
�~>�'r�ZV�*�?��s��e[�?x>퟽ʥ�g�� ��U*t�=�Xz%�B{%�<�{
+�����OGu��
�H���v�z�:���h(FC�u������B|�;+�Elå�@{!/S
ᗳ&�#�gG�3�A�{Km?����a�����s��������ݡ�� 'r�%�/�-�߳1�VMU�v��l��aP�P��$0â�P��v��hН��C� � O:��Sem�"
�]�AP�n�����ͽ�U�� �.����*�	`����3����!L�޼d�B�c]��.��:���
+ �d� �]�W�P�5m-q��
U��k��glm��h��M���	,�ͫ����
�HPﯘt¶D���'�M��2\���]=��i�M at b��qŶ9� ��/�b峋�{�!e���Dx
*�|	��FX�C��_�J��2��
W�����i2E���4i2���M�}q���T
�e!apJ�F���U��L2Βg�e��Cu5��E���4���ˢ@/�.[����N��<ځ#�3�r�z�۰Z���Ng��!��&C�j�
�\�K����g�Z�S�‰��?n��Q�wI��ۦä��V����qG�;�l�m�y��N�⚤��k��0�A�ڞ�� 6Yvͩ˱�;�/���>�7��� ����� �Z�a�=���Sބ�9>��Y"��p���3��k�Uێ�tSp��,_���Z�7�d�n�� &��PY�d,���M��g�w���}S���J�$Ϻ��>���
�[	x�Ѽ�A
�
�5���y�@�jk�X{�r`��������Z�!Z�0.;�8�8VmI`(�8U;)��������|c��N#�t�^邰�h�V��,��޷$����B���T�S��@]m��

�-z\顃�
��U��^��Ҝ�ڨ�%�a��N
M_������N�=m����]o٫y���0�
H�9+�A[�󀽡���e�	�!$��
{�N��4�|ޯ���-l�L˛vqㇸ,Bl��i�C���B(`���=DS���˖��[�UE��20�Ym �J���gJp@#���铭z؝ij�Z�>M�d [...]
+�_E����A��֓��o�8s��*86�
 Y�
C6$-E��mR�3u
�?b���ٻL�y�0t|&7�L�cx�y�B�����e�dO�?6�
�	���6�U�
�v`K��yo
+ĉ�"�)��=���&O���-G�éΌs����g�_�J��
�F5��&(��$h߮<�bD��	�5�
+M���X.����~�e�!Ƭ���_EF��w
+����[����䳏s�[d�X�nj
+0_�G�a�����(���w�X�KBl���bdE��
̼endstream
+endobj
+2247 0 obj <<
+/Type /Page
+/Contents 2248 0 R
+/Resources 2246 0 R
+/MediaBox [0 0 612 792]
+/Parent 2254 0 R
+/Annots [ 2250 0 R 2251 0 R ]
+>> endobj
+2250 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [191.259 507.362 219.875 521.196]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.28) >>
+>> endobj
+2251 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [285.417 507.362 308.187 521.196]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.8) >>
+>> endobj
+2249 0 obj <<
+/D [2247 0 R /XYZ 72 720 null]
+>> endobj
+2252 0 obj <<
+/D [2247 0 R /XYZ 72 395.917 null]
+>> endobj
+2253 0 obj <<
+/D [2247 0 R /XYZ 458.088 290.11 null]
+>> endobj
+2246 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F35 663 0 R /F38 1435 0 R /F72 1166 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2257 0 obj <<
+/Length 2986      
+/Filter /FlateDecode
+>>
+stream
+x��ZK�
���>���nR�., �8�7�
I��L�v��]e{W+9����b7�͞�%1rL?��b�
_�ˋ�/�K��9c�
���Y4�2����E�:_*�n{.��si����o�{��[�� ��.���:
D�+��p+9<ŷKYW|�
Do��;��%N+�ywn��j�L�����~v�

�
d�f�@y.��[
�!�
�r��z��8H�n���/��?�m%Z����z�K���5�n��F�
�2�QG)�
�ta
��a`s$�J�e\"��=�C黧�K�{ ����&]�
+&�ӇC+
^q	����-��2H�Ժo�1��\�Ăk�$\q?�C h���k�k&T��L)�)^r��H�DKδ��eäӞlhF�Œ�
�i�Q�M��Hu�B�:q�~
�9]���FӲ�*H똪kz���A��$��a���5N¾���U�bʊ�@�^�I3��t?�I3���?�c�&=�YSqP�)^=���I-Sk[�o�$I��7f�R�.lJ���ꥴ5�b
���[m�G�%B�0C��%��C�‚�9�W��.&�b����P����ҕ�	PG���ԩ��{\
�
ޒ
=śޗ��ѷ���6A��L��k/T�=$�c�W��
~[
l�j�miCAY>��QX���;z
뇽�C]u���p��a��<�\��Q;�ܣ8iz�6$�:R�m$��{���5��h|4�mɳ�aV���搕�)r����,�
+�/��LC�YJ�nC4����(��1^���t};���b�M���,��
�0��P(�g��
3M�
цV	�����9�� G��
�1��
R�:ݱ�1�,)%2�#��+�ߚن�`
sP8�a�����;���FqH�̡EI0��7g_]�a��
���&o�
+νX_�����+�؜���g�x�k�$���3`�����ٷg�y-#�e��KĶ�&��l �
/�_&� $�!�)U��&�h��R�~�d�*��3QJ���a�N��와u�'9e�F�[֌n�
M���Hf��?�㚙�<���LMr�Z�U�ny��O�R����I�赕�6�
+����x��Yf�ϡ� �4�a�>��C�E
D�AT�ATxo
3��`����ќ�)R�܆fE�R(]~	`U:o����-�h+wo�rb1�C):�*��?&F��8�
+U0�;>^E�ؖr,T����0�fؾ��o��&	0`
x�6y�
7I�p���00V��J3�%!Wib��'`��|�P�hĜ�H�X��j��ɑ	�=A�@8)�P
�T�l�
YR����,9o�Z�6�*�.�*Bk߅���*h��p8\����;J
j�1���AZ]�x�����[��`�M 
F�6�d�N�~I&�3���n���eʯ��*X�А��,�6�
��d޶��i
M�hHzT
	��ѐ��hR�<�m4���FS�N�hSmL{B}�D�5�>��u_VḤ�o�����gHZ��d�n��a*_�9��#
�3�"������!��>�53N���;�>� �r�L���)M|�G
�=�@v�\�=��G�(����K0��i��<�Q���E1nI�'Zj�!E
�=�'.>.�!�,��
+�`O�����S
d�!
4�˱�
+m�)��m�dLlJ���=1�q��Ѵ�'���d �U���%�Ʉ��Ƃ[,8�0�.�A�@�>x�!E:=8P����������q�IR
+����Py�������[d[B�@���]�N
+�M ���*��.��u�@M;'{�˘��g����c��T�8]X�gx=���ƴ� 4jUW�ϭ��Ę4�����I�z0�
1���Y�����.
"pm
�OԽ6di�������O~���[�]>-��[�S���=p��r�~�5[S}?����7�$����=�U�g��M�1�8I!�Aɬu�Ѥ���=�6���Y3�mD��R4��D�i�� �=�ڣm���m��ikf7��!廎a��d��;F�$�L�ѐn����z{��1�_�b�r�v).:�lI�L_��i���H�W%��e����բ9�"�:'+G*=������9 ���\_)bxr����y�!�}x�'����b]u�yƍJ!���d����T�_cM�f\F�0rn+`g3��fT�c:���M�}�ď���ޣ��(Ei���/?/����sN<��MZl~��I�-F��>� ��]_k�����'$���?F�.�
+�
gV�ćf����C��L4TB
2
G/����g`A0,quJT嬑z�K�&���� M���г싚�E�&��粓����X#?QX̢�S��(T��Dh�2��'u1B��%g�LLt���n
Ks�yܕq.����i���v�gv�
zRN����=z�Z�zB�ah�6�$��
�3T����*�
Z�


r�	
�m:P��H��u�B�q�>c1�C o'fX?eG��{u�6<f�]�ݤq.2}�Ă��~�ک����ӅK:vx����{6�G�'{�$s��R˶o]L����}���>�k�·1��d>L��m��
���
6Vn�b|n�(t����x�9���
+�б2y �Z�$��\�f�J1hv���7��}�no��kA��3�i���&��0hZ�s�l�NT��
�M��<�	~��A�R5��)Vi��=;������Y���h�~�e2��i�����'wv_
F
��w>c���u29�#�֥��
''�
+b��e����/{��M�Æ"B����~��& �?Ll �����/t\kS긎�(
��g}F��	׾�~��7��X�Ԏ��ɚ؅6^������g�̫�p���yh	h,���}��,g?���K���@�+���\��|�
��?ʡe}Ì=U_����r��W�L��Ww��G�P�9h$�j��˲��FL��+j
�E��f�<�����������O��F��O�DU���O�~�L�endstream
+endobj
+2256 0 obj <<
+/Type /Page
+/Contents 2257 0 R
+/Resources 2255 0 R
+/MediaBox [0 0 612 792]
+/Parent 2254 0 R
+>> endobj
+2258 0 obj <<
+/D [2256 0 R /XYZ 72 720 null]
+>> endobj
+2259 0 obj <<
+/D [2256 0 R /XYZ 72 408.492 null]
+>> endobj
+2255 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F149 920 0 R /F126 638 0 R /F38 1435 0 R /F69 550 0 R /F73 1467 0 R /F35 663 0 R /F53 1695 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2262 0 obj <<
+/Length 2027      
+/Filter /FlateDecode
+>>
+stream
+x��]s7�_���p��)����- at aJ�2$�3m�`�sr�c�
����V�w:[NB
+3}P,�V������郣g�TR��ڃ��AY	�Y)2�$gJf�?O_
=S! ̊�
d�j9�I�
�J���ܴL�0��Ѹm����*�k�
~���wv�v?�?������a���4�0V�O=��m�L�=R��V�0-@�p^�8�l�P�0���[2"�2�*	���*�g�R!�%^!HBW��'��
�&/E���TaL�[�N�
_��
h̭
S
]�	
�rޫ�
�?܊�'n� MhWZ�R
�
+�J$�KLPR	[(�fMh�ӵu�}��B���Rk�>��t���@�cx� ��[�u����5�'Ņ�fӯ�	��i�%Z��	�L���Y�|� گW�^�o{�9�*�T�B�ի�,�(
E�qdm��
�D֡
#*8ZGO���J���N'������c����w҂����,I�lG��+V�a�>
+���x�L
�2bb���ʅŊ̷�s �
+
�lgA1�l&J%��.��=1@�+���ӫn�w�*���:ᣏ�b�Bdy3��
_4�/�$���*3
��dq�$��^���	�'CHqV'Փu��B���[x��r+f[1��`�@�9񮷢:�7B>sӊ�`1$�Ј�دVA
;�&�EV���N@�;� �r2�Դ�a��f�@�̧����}ؐ��w2��[64�bEɩ�,�T4�@f�
�9��\Ȯ�H�+ZPc�� �dg�.�)D�}�}��q�nԬe�h�M����� �CY
�y�
m�A��jtygN�ͥ����;�
+芇H�c��R���>� e�
��%�蕯n'�F$�z�� �m_LjT�4w��]6V�VP �;����>զE�
+G(��}���ޡN˪�4rs��sM�qMa$܍K
O���?-<�,�&�
��iX�p�zd���	�&�-b���a�!{Q���5V�
)��������^S
����5�	hE�I��
[�g�E� '= ר�䠺^��_yy�G�v����e#�)/�j�a1o�[^V׎�XYZ�*���m!r-���Yjk�U�EQk��L` �P%RߦI��\S��y�Ga��>Y3�ˠ���k4',� �
�Ri���;f��<��*|�
���oet�x��
+�
+�/�'�����j��w�,����5;��jVUvC4���];콮݊u�g/�����3�k]5�,!�H�P5R�å������umD��R
+Pxs9e'0:t���
Tn̜���S�I�@�3l���.?2�x! c�ϗ�
g�~
d�����]���騔}+�?^�cf��t�+����(@t.����*g'Y���
:�%���ˠ9�U�{ú�4��4d�g>g�9�7�dDT
{� �=���/�lN�7���k���F,�Vؒ]��B��b=[��º�ֿ��E�9ʿ�:���5���k�O�ya�7��

+��a��
��b��҂[%�9��2y-��LJ��EWE���t�)�S�D"T02�dq[�
ZlZ�Rr�
+Ug�dJ���B'ǎ��yS��v�
��v�LZ��Ԭ/�L%'�*���H=��rW�']b�I��݇�]�h� ���f�~�{.M�w%*F
Z?'�Ɵ�L�|2�[ԫ
b+zc�(���xG`%���Yr<�
h�E���
u���Z����8������ _	Avጠ���v�'g�ձ?�뢯��ǡC9� ���l��'l��d�Sk�A�Z�Nx�����]��V�w�M?}3
+:C� a\�H��5xS���I׹j�#e�C�C����
���%
+��8;�J��XnPg�_/g���rެ	tN�H�?i�BE�� 5�-��M4�fz�/i���í
R:�\�d����
g�oy�zD�6Ί��5dž���� w�=\`I�Ϟ��>�q���w�\Tj�[���
��
���O�����a҆��W*;p&X����δp�%]����?�������v���s�XLҘH2�7۲�HǶ$�b��������endstream
+endobj
+2261 0 obj <<
+/Type /Page
+/Contents 2262 0 R
+/Resources 2260 0 R
+/MediaBox [0 0 612 792]
+/Parent 2254 0 R
+>> endobj
+2263 0 obj <<
+/D [2261 0 R /XYZ 72 720 null]
+>> endobj
+2264 0 obj <<
+/D [2261 0 R /XYZ 72 375.283 null]
+>> endobj
+2260 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2267 0 obj <<
+/Length 2026      
+/Filter /FlateDecode
+>>
+stream
+x���n�6�_a�I�jV$EQ�.@4C��k�0�{p,;5;���M��wH
��-���
�
��r�w
��٣''����jr��h1�y����_2~�3��:���{�%�W��RNr
��\s�nຂk������\;�q�y�xU ��GӢ���S
+@�;x\!���Tj��
��1\�C�=30��%r���]��Y�,�)W5�
=������2|g��
�*[ 3�E�3��V
x.�[+�ck��-�-J�P��5�1C�Y�HwV�R�ۖ�y�����4�8��1X�p_�{��0��1 at U�
+�6���
�F�KcOp۔�(Jk��jXٲ�)�Z�u��|W�ѕU�jp���zM,�@
*4<^R��	��)��2;#�i	��^
��Ś0��#����Q��k�7ߩw�o�•��qF�
�EM
�����{^�e�
{�(; z_uWh��V
�&W9<��?��e>�l7�(J�����}n��g��y�E!b+y��g�,�V�I�^�6r�|�{}KŖ�y$����,
��Ⴓ��2��)%sɺp�);��&R
�^�������q�
�ylI��Vt��B��b%�oҩ.'
���@/�m	� {�� ��ڹ�b،@�
fތ�c���1��ؾA�6(���`
��S3sá뵍L+sVs�r_�Y*����4^�$�J[�o�����#r����q����i�X���p��ص�I�7���V
K�1>
+4�y�^G��O����	��B�}c��}���q
L������o�hM�E��F�!��8(_�`�kD�!P�g�^t�ߗƼ׷7dJ:�):��4c�X	
������$�d�M�˶K �{R�m��g�-�;Bb�҆������aڔu;
:~E4�	�3
S�TH�
g�7��I�8ӹBr.��<�`³|���&$�(�N�MP5�R�r�����
}�Y��U43�ֳ�
��
�?�
�1�&���D�����nw��NN$S!�<Q�8w���ۚ��D�A
)�P�m!�l�"�`��AXk���+$�3��>7�
�pZ����YK�0Nw�u�d�`6�ĩ�������'�$%��;��&h
7��^
����ܕÎB�
0F	o�L��j]��s�%�I��^>Ր�:����4��d�#�9��{Bd��׿܄��!cj�6��8W��Ol.���u�Xu�1=��D�
�S|v��Q�a�����9_YMm\�S'�t��%����
�@ט�~�`�<��:I��1�9�	x�ʼ
+Y�e��Ԕ�BW�<: �:��QhM�W�:԰	��-a��A��Fq歪}=�3=���
�ْﵦ5?9�_��s���}�A�H���.R0���K
+�&��@u��h;�=M�M
F'W�]���
2���I�5ݒ��md�����z�b��}���_<�	��~nw
[�{
���fo	6�Q�`8^���,�k��a�ߎ
�xU�D��`CFq;މ�''0
��A�'�&��dy%Ɂ��e�
�
�ٗQsO7i�/
Ld�f��@i5j�ĦVj�2ֽuc��w��h'ǮLZ1�N��-y�ENG_]�
Dr�W~��3��/�4�/������A�+�� �9�Z��e
�a�$ݥӘƂР�!W!��Cb�w�N� �[t�q����a�jVT�?F�����Fv��l�]��tU��>�D����4(2~�Sy5p�*�����X���	 =í�ٱ�Hp� ̵G�7���]� ѱDuG���b푱�{ ��b����=}A�d�`�-�x w�,���U>{~Փ��]�-%J���2�l
s�osg �#njSvS�^��/k�ܻ�(�}�
{𘴺
+V�I����`�H\�Y��B�j�Jv��["���ę�9B�f�T��?|,���d[6�����
�u��<ۻ��fXV%�9LfB1����C������(H%����Xn���
1��>=>=���6��Y��K����
+��ݘ[��,'WgW{��`v)�Ok
�w�b}�7���D at 4w*x
�z�GL<�3t[���j����n<zq��/�r8iendstream
+endobj
+2266 0 obj <<
+/Type /Page
+/Contents 2267 0 R
+/Resources 2265 0 R
+/MediaBox [0 0 612 792]
+/Parent 2254 0 R
+/Annots [ 2269 0 R 2270 0 R ]
+>> endobj
+2269 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [470.398 634.453 493.169 648.287]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.2) >>
+>> endobj
+2270 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [500.92 620.007 523.69 633.841]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.1) >>
+>> endobj
+2268 0 obj <<
+/D [2266 0 R /XYZ 72 720 null]
+>> endobj
+358 0 obj <<
+/D [2266 0 R /XYZ 72 720 null]
+>> endobj
+2271 0 obj <<
+/D [2266 0 R /XYZ 72 583.047 null]
+>> endobj
+2272 0 obj <<
+/D [2266 0 R /XYZ 72 515.529 null]
+>> endobj
+2273 0 obj <<
+/D [2266 0 R /XYZ 72 401.038 null]
+>> endobj
+2265 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2276 0 obj <<
+/Length 2452      
+/Filter /FlateDecode
+>>
+stream
+x��ZKs����%UT��Ɠ }�_�M��T�\�́q,��
���ߧh�M�yu�����Է7��Q��Jʲ���fsU7�����Ka`����G%��n�
+3U�f�J�IOײ����}��8YeJ[��o�WN�ɒp��_�W���j?�;ŸO��-�lq�)6�?�ّ`^���W��
)
�ϧ�f}���ٲ-��Um��o��%��>�Z��KN�ѥ���p
M^��~�;b���>�-68�"�"᫕6��Mu���4��$�bkmsb�x�o�p��t�0�T��!���Y<���&�%�-�1$����8��QN]Vi*��;�O���땪�~�+���C����-�E<�"����[�$�d��}�MK3�^1^�J�ҁ\\�Y�A�p+�Z��Fq��pZ�Q_
y��>���-}t��z
8�4Ca�zvU���!�Be��F/�f��p�����(��<�H�*�/xL�&� �����
V�
+D
+��.
I5�*��I��IR��o�K�O
���
+|��_H
���������#�Z�F�#G
+j���/�~�����Qs���GxݝGp`��;�D&�Z�8��#���Mh���1�}�S|E������h��j�*���E0D�!׹F�L?{'��-�RUQI�#��zVב��[�^
��E�QC$jC,T:Z<$�6X{IY�
w�!
+.
��˾�/| 6v�)w�\�<��1��Dg�Q7�Y�A�F�^�OԜ����r�2���^~��l�%�'��7Ř�_��QT)����ͺ����m��ב�6n��!�ن�ϴ�*؞4Ãݻ�>$:�< ���b�ERn
��),�hB��I~h�w�aA�J���m�YR!��<(�?�
F[fx����(�.F���I1޻���چ�o�b�-Ǿ����\�R5CvѺ �E-�z�v�����|�T��K����!��j������.y�>�+g��S�"G�]Y+5¨���(iX����x�j��Kt^;�Q~��ʟ�M��
$����s!	�b��W��n��un�KX�'E�f&��쬲�#E���8A5EO��������� ֖Z�*��dP��g (퍓x��� H�q�>�x
:���
�qe~fP��d��^_ʿ7,)��g
g�s�����0���I`m^E�r���
�
i\3�
2?]��i�U��D�4����(�`t�!LH1��8���� [...]
+L%�Rd�6���v0�R@����0��[�J�n�-���,�
K	�R�s5��LJX=dv�
��S�z��
���@U�3$Ǜ�	�4���P��DY~n
�~����ݏ~r0�h�m�s����|GD�
]�乯�[ �̎�8؏d�,��p4�7��&}@Ɍ[�$I��9�Y��4NVK
F�W��^DΪ=��x�U��Z��1z٪N���_��2F-�,+�;]�ȹoDAb

������#�@�'����J���گ�PZƲꗉuy%��>�����]��%<O��m���j �9�;�Q�M:���/aJ:~(�k

+��Fb����o��g��`~
�z D���C��e���.�B��bA�)u��h��D�|�Pf���?
��u�<�g���Ζ.������6!HD�)�퐛�N��� +y�␚o��t/a��_�"�͢Gt)J�or�&
~
�Z��P�L�IpZ�\���L*��[Ĩ�`���[��t^\mX��N)e��4���
lԆ��
IC��0��Lң�B�{mM���]
M{z>�U
+���� UVi�lz
?9a���^X��J�Zl6_Z"q/`��,��l5�-gUk����n���(3
ڙ({.�������:	L��߇
c�2Iw�@A-O‟�����Ɇ ��˰�$FN)eZ��|�kS���¼M=J����L.�T��
��G!(�!���B� �/TMʖN6眠*�2��P�=�3I��WT�4�����z��B
+6�F��h#�
�f #��iε��̒)�q�
��JO�K�/�
��p&l���A�Ʀ������I�>������뻠~̞�#��b��A,�,�>�����#��ri����g��G+<��s�PO�K`/���I�&�ɿD:�
��l}ªj#��mI���6��M)�*������A
r�xO��a��&���
s�����u�(s�_Yn��I'5| �zT�i`������Tn�p��:����:g%�����I�a8~>��s?
~�N�;��YKӧ�M��Ŗ��li�X|�S�jKɂz ?��
�ݐ�׬Žg�MO����Z�enì��ɒ
+��fZ�N�L�J����EYK�w at U���~�y��endstream
+endobj
+2275 0 obj <<
+/Type /Page
+/Contents 2276 0 R
+/Resources 2274 0 R
+/MediaBox [0 0 612 792]
+/Parent 2254 0 R
+>> endobj
+2277 0 obj <<
+/D [2275 0 R /XYZ 72 720 null]
+>> endobj
+2274 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F35 663 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2280 0 obj <<
+/Length 2003      
+/Filter /FlateDecode
+>>
+stream
+x��Z�o�6�_{��H%���u@4[�u[�=�{Pl���؁�$M
���x<RG}�N0`{P-�����~����ŋW�B�!�2�O.�'EzR$�8��5�#8
E��g
f"�
�4��
����:���W�iɨ��(Mc�H������	��L��x�³�g��5�t��%<�3��wMP����
��zJ�}�
6��;���.QrK��9.���AH�

+�����e��91̜�d�4�xFӸ�
��ۥ��H�F������2�R��D��gI��0J��)� R�̠D��90Ԍ
q�Q��N�9��#�(�(
"�[!��P��x��*���@m�o̰
qS�ޑ� NB�

B����2OTI���{�����,C	*�
Fʩ�͌5�uU��x�=�v��AN�,q@��
�?T�viP�u��&פ�ƪ~ژ��58ڼ&�I� QĹ,���S�
�DM��,H�����~�P�d#
<��9�7ZR��sz�4���ڨ%E�IJLI����2
~��ôj
4vX�z��Z4�����u�Ʊ+�1��z��� ��X��tb�L$�Q&�HL�
�������͖H�F;l�	az�BnS9���
QmP5F5�����
[�����u�vC% r2ܒB�eZ���
;\Ekj���a0�̱L&ǣ��yI(�����5R����	�B� ��:�~'4mծ)���T9H&$��R�����C0+�c ����]�#%��+!`��f�
�#�X����
j���Xj .
�H݅y��V4mg	v�>��Hӳ���I�U,g�M��D�Y�>Z#� �E!����ٴg\&��2NJ�)�#��UA��5��s�J
�Ӣ�<��ڮ�ꐌ�#X�������
F����53Ƃ���Vr�4�J��hۧ��f9e2Q(1RՍ��`܆r�th�o�\�hR��Җ�^���jk���S��D�
2�
Nd�
~��F���6g��
KuL���z��٭<>�Y\ϭ����m�S�ʊ6�I�ں|�W+�s�߹��ez�Ʀ��7�+f��	j���

c
�<L
��0�6��9Ї�aӃ4.�n����H���\s�i�
ϣ�CAGS
:zɠ���1���h4b�=�����GӮ�ȼ��"#��m�e����2~�?� �2NUN��)I?�M��r���Y3P��i�L]��I�5�1:СB@��)�5˿nme�o7F�
ɪ�nȁ�'��V+[��c�B��%uء�"����n�o�+(]�>W<��j����	"Q'Jx(�
LCMBXo�c	�

og觤oc)-�s������\�\���үxƹ�AdQ�ĐJ�,.&�S���
��=�Fa0�'p\%�m΀(`0Y�䉕� Y{����~��dV�E*<����<;($�'�*�������[�l��n媁$5�u��8��z���Ų%�w�
Y٣L�"��￲��fe����uנ��ga�9)�w�-�FD�+�di�Tf�2�
�H-�;�'We��NAc�`�o/� N���u���si֣'jgKz��S'��5��Z��̐�;���:mi^�s�\wGc�f�~}K>��O���]+�������gL'W������Ȁ`E
A����pb���.i{+Wd [...]
�����&=?�������b�k.bX�2�
�f�u���|ȃc��v�h�����k�5�?^؂iw��Oͼ���p�.%� ��s�q�
���<]S�^8PCܴ�/U����M�T�q�t�����NT���/�_��a�cmendstream
+endobj
+2279 0 obj <<
+/Type /Page
+/Contents 2280 0 R
+/Resources 2278 0 R
+/MediaBox [0 0 612 792]
+/Parent 2254 0 R
+>> endobj
+2281 0 obj <<
+/D [2279 0 R /XYZ 72 720 null]
+>> endobj
+2282 0 obj <<
+/D [2279 0 R /XYZ 72 698.015 null]
+>> endobj
+2283 0 obj <<
+/D [2279 0 R /XYZ 72 338.852 null]
+>> endobj
+2284 0 obj <<
+/D [2279 0 R /XYZ 72 343.833 null]
+>> endobj
+2278 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2287 0 obj <<
+/Length 2217      
+/Filter /FlateDecode
+>>
+stream
+x��YK����W�T>�%
��c��*r�)9�ˉ7���.9Ԯ�y�kY>䷧4f ��]�ʩ
P3� �B��������_q7g�8��۹�Dp=7�*af�Â/ق,i��{x�Ḅq��\-���ߝ�xc�/�6���J��
æ3J���ӯ�L'ܼ���:�Efa��)���k��|���M�
+_�������ϴ���om���/`�OO�*(���;\����'^�Ͽb�dƥ�
��	��e�(.��FJ�����6Êy^"�3�(<�0γ��
���+�t/"�W��ko�bz�����2��ӯ���7�v�5������`���"
6�s���ܟ
sA�[%�H�9>�!�
+��X����ww0�
Ro2eVa����Á���u>l�ʌ{���P�5�A
cGfɏ3�W�d��p˓|�62�NƗ��`��h�p�N� V�=�'��:�\Nu]�DG��p��1d,JN��K��ޢ�m��f����j���F�����G����r�=�p�;L�QRØд��5��� ��&cb_o�8��>	
�%�NZc�c�ϲi�T��}�϶��c�]��R��T.X
+�-�H����j
R�Ʊʄ; H"
+��,�5��ռ��h�o|ҥ�M{7�ϐ�0e�
9�����A�qE��
�.̟�o^�_�J�h��n`'xƎA:�F [��"�&�J��a����3�
+��0P�Px���^�����^����o�.r^��>h~�Y,
ԗ+]*b�f�]��~�]D�D>�
ké������:̙�u��$����P8z7l$��8]x�6�ݽ��k�.&
8�����Ȓ�I�
%��X}�����
��L<j�Hq�
���MnL_ǎ
F�J�:�BW�:n�3��fL��t��z`�̈�$*�#��$��48#ְ�����9
A�A�u���U
PPk9�ׄ�F�77#-�0{po,�1�2{(�$a�C'�K	v�v���X`¢�@O�#��H�#A�Kx�2����U�U@�nui�
+X$�% �k�R��A$:�~4a���*Ky*g	��Q�:��t�FPq,���C��BC�q�|M�J��- ����G�����wjP���Uf��߰fdd?٭~��w!/�1��}_;eCp ���&J,O��)��f�l�F
[��{�^�M(1b=!
x�e=<I�}�g�&
�M
x����b w2����.!�/V��*c�������q��쪼8��q�;�[�.
�M� ��Z��!�T�(4/y?[��UM�	�(���c҉\a�G+�JK�K;���V�K9d%6�%���*%��z^D*�����
\���l�0��3�eu�œ�/<,u�e��X����V2��A�:J�;4ƒ+���e
+b�!�\g��+��P*>�o�Cx������Yp�׽ϴ�
�6u�y0�E'�\~��)��c�k�W��LM8S���JTJ�U�{g���T�R<���5&D�H�j"��>�T56�����ājCXV�����
�{-�/��q�
�k(E��{M����p���hû����d~w���'��o2)������w5#BЗJ�,9���^f�ff)p�0ջ��L�zyr�ׁ��DI��u*�@M�UM��~�!G��Ssm⦳�{0q�2�-r#ҀN_������G�d�w�
�Py�ˡ��Y�eo���B�U��#�$
ґl:�&J
�a�8�@���!qe!�j�J����d��= ݮ��v��0�92�|5�P
��B'���ä�q�Z�pbXYJ�< 3d*�k�[b�y����nN&*Q�� �R������D8�
.�m����$�V3;.�Br$��N^�d)��A��G"��pQ�p��m�wE:�S� �[�
�
+
��#���:���s�
"�V��|}=�y�Ït�����3J$x�x��
:��oÌ��W��g��i5�X�Q{9�XPK��{�Ŀ����55��������G*BsXe�����*;07�1�:��/0��i
�8�{
'�_k�m8�de��n��7B.&P�B�t�Ff�OX�?��������BU.s ��k3���9
B�מS`��CaOn��R�둰���\��5�$V�B��H�G"�?�T����
���}�����譸�IƱ�U��3��T
�&J�U��cD:U�4�ık��v�^�Y��ӛ�f"^���
2��]��V���?�}����-

�R�&�@�endstream
+endobj
+2286 0 obj <<
+/Type /Page
+/Contents 2287 0 R
+/Resources 2285 0 R
+/MediaBox [0 0 612 792]
+/Parent 2291 0 R
+>> endobj
+2288 0 obj <<
+/D [2286 0 R /XYZ 72 720 null]
+>> endobj
+2289 0 obj <<
+/D [2286 0 R /XYZ 72 720 null]
+>> endobj
+2290 0 obj <<
+/D [2286 0 R /XYZ 72 515.945 null]
+>> endobj
+2285 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R /F69 550 0 R /F73 1467 0 R /F75 1442 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2294 0 obj <<
+/Length 2006      
+/Filter /FlateDecode
+>>
+stream
+x��YKs�6��Wx29P3B����;I�M�������A�([�,��l����b�����%X<��}����
<y)e�'���b�h��՞N�Hsx������r�9�t��Uy2��%v���ףTU0G�7VJ�B�G� X�`��1�Ќ�7t)�[�����NN�!K~�q�<'Vx������
+�����HZe�Q����m=�$
h:'0ǡM0�G�)i��Sn
7x��Y�hB;
�nl�����h\fe�rd��
�-&s��%Y����?g3���c�J4
�I���հEQ���/R�=��2��e>��`���̒������D���[���cZ���L��κ��Hx
�I�Uů���y3�"5m�
���&Sv�s��`�
�n�y�M>
�9qK�-Z�"�0E.���bc�i�b菜欂a_�n.;��]���G��
;g[�;ǥ�
p�*�P� ����m��i���@GB�����b��rCW�E�[8F����-::�xJAi �l�β�q�U����~��gɼ���{� x��^��bO��nPDѴ
'���mB����ޢņ�����du�<I� �{�a>a_lȺ����yߓ��;y23zg�������O�T�@Gι։%8�d'�4P��&�S�>�_D
�	�qi)
;��^�h�,��
�?�
+7�uNl��P� K�J�Ԗŷ7�%�00�r��KMY�GYc7L)�>���ɱŮj��7�BĘ�S�e�=(5��B�p*<
+�
+�kJ�к	�㰩
+oP��2�j=�2�v�%�Df��<\xl$(
y�P�r棒�`$
�:���
R��,P��x�ߒuw�@^�J����`k�۸Ȓ���fh#H�iv�\�
+��a�~]�Jx�T��
t�	*��

K
�tr�-\�
ڹT�����0�<���2ۉ$��&��0a"���$�G"!���Y[
BҺ!!waУ���+=Ǭk��%KL�"��-����nx
(��*�κ�T�m�b

,��|Џ��;��U{5�d$�Ɨa�x-?��</[
+]dA�2V��bM�[�C	B�BN.�
�N�V[KK=�rG�vmA���(lg�'�
�X�o`A
�T�Jh ���D��
+Ҹ,�^j9� �y�i`�����uw<�	;��81�5͛p�a�3
\�����-��&�|��Mtލ
��
��EI/�\�̅E�Ӓ�5�K� ̽�� f��OYV%���(]�u��6Q\��V§:e}��84*RZ x^���޹�	|�{���R�\�|�k 4촞q��.������t��T&���-����/S
�w��|U���r����v܁�K��L2Z��'��S;��K�������DPȻ
��qV����v�*��]�n]����Yk����&�"�@��������P:9��� s7�)���
��́��#
.��g��6#;������������p(��
�+�R˷;��,}�
z{�p�篪&�
ӅK�T���	�Z�9!��g�
_�>�
�����W<␿�x��S�WQL~*䄴�/�A�>.FD��
h:KK꘠
+g�+�2=�,V]�z�A��Er at r˵��4�E�[�f���ai�֛��H� G�2��8a*�LGW~�.VW���
���2]�7�NGX�0��v���q\S���&�ñx^}��xf�ov;0)���C���Bo��c6)��a�������vߖ{�����~6��ѧ��_
"�E��}��2 �7
P�djlO�3ٲ[���}�ͺ�����Z�R����^=�6Q@��G�����KPZU������c6Ax�:ys��`���j��i�V7J�*��u5���-&'�u�Y��a���* ��*�gtՃ#=��wC��],�ҁん��:8��p����_1�7k�
p�������!��7��%�z�/qg��S��t�3��e�:�̜�v��5��&;㶅�����?<�,�a�jo�SQI{PƸ�& ���у� 8Y�nendstream
+endobj
+2293 0 obj <<
+/Type /Page
+/Contents 2294 0 R
+/Resources 2292 0 R
+/MediaBox [0 0 612 792]
+/Parent 2291 0 R
+>> endobj
+2295 0 obj <<
+/D [2293 0 R /XYZ 72 720 null]
+>> endobj
+2296 0 obj <<
+/D [2293 0 R /XYZ 72 698.015 null]
+>> endobj
+2297 0 obj <<
+/D [2293 0 R /XYZ 72 376.04 null]
+>> endobj
+2292 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2300 0 obj <<
+/Length 2088      
+/Filter /FlateDecode
+>>
+stream
+x��XKo�F��W=P��7ٛ�8v�5b�E��Jt�F�
Q��?�3���R���@�
V���>8��73<�8~%�>�:u�;�
9yde�*��Ƴ_���H*h�-�����z?��������W�8"-��m���ѩ,
�2��J��
�
�7��529M��9n�
�C���O\�,��K�R/s��h�	/�y�>o��V��%/���{��
�%��������H��J�h䗞���������<�3�
T����P�TkKZ�k��U{W]8z����[���HFK~� ��Y5��WuϦA��J89��h�׸�m�*��Ny���`(m�f*^;"���UhVe2΀���W�jSM&K&p����h9Y<�U��"K���
թE��
��Y�C�B�
ZM�*q�
+	jt�FC��2o̊���17T�GVD R�p`�40��X�����>�5[�Ǽ�7�S|�=�a3������x}�_$�
Og�w�%O�yD���$/i�P:K���
+�O����f�%�NGP��B�rx�z@R�a�ɟ�
=z`{����
�mq��o��F��N�<
:�x��O�����p�#m��
�J��y���ˡ�� </�� =#h����rC'x�����RE�k��a��0g;9�6�
�X�,-
+Ÿ�=���W��jp��
W
��QY�g���y��{�g=���<�P~�G����
�q�b���鶑��w7��#
gS-�fO�����%6�
+�O|�3�
�L�Bޡp�?��^\�BO���JR}���V�v��]��
��<�����
+|�WV�i`����h����"p~�
�MED�3��G�a)��U�5�YD;���y����K�9��Q�k	(3⥇��ǜ2si�U��;�p@QTU֨��񜬱�l E��ԹB�m�+���K8RJ����߰��[�
�����"��!�X��:�����P��Yr?y��=���
Ju���i`B�7O�Ҽ��$)�  !s �z����Ƨ��E�y���Og �փ��^/Ch#�Ձ���;�&k�5�YL�&t�1��@<o�C�ĉ�-��	NGhbd���\ ����4߸�'�F�*��,dR�w�ƫV����lԋv
^�c*ذ
�}_F���Xt����{��
g�S)����˰D{���,��-�,�D�e���G�
��.�"�V���- �R��蠕@�$� 
(���_ �tv�:T’.n}wԹu�i
 q2��>�

+���J��ue'e��*؅mb�[�NX�z>q��ޱ+B�vR�/�`���, �c�
 SM��C[d"�B0��������Gܞ��Gb��k��
r�D7�T��%<}���S��������[	��,�ϚN���vu���$��"cGoC
i�Hk��A��(��
��	�p\y���&�q;��T4
�Z��8{H��D��
���ن2�2@������eP�:����@K5'U�we��/q�"y�z ��2�+Ѝ)��
+�n�U����p^23��Q�`APq��Cæ՜�nq���T���R}
�؄�;��d��t�|�ہ�P���C
2��/P��伴���T�	e'm�
[�;���7
+�D���콊�2$��-��ruHo�����r1������3U�zq���:¾��Ԕ9O+_=�����4�K�E���lɂ]��KDŬ4*-��D���W_&B�����Tf��Rb\�
_G�Q���4�*��!��Pijw���ϩ.�0�,�?C � �>�̀X>���!
+%�Eo��6͊H���o�r�Ї��b��_
zz�E*
+сJ_���/V�0!��!��T��e��"
�9���B��

+��i��R/v0A�y�ɵ�
6^iƉdQ�
˙
+����!	/;�k_D�n
+��ǯ
�J���_���Fu�N���w��6�S�\���%N�w��l��R^$�ck�-F
+k�76��˃1���Y�_�3�G����]��i+��>�|Y���ו\t6�w�;@�������
��1}�ڌ��E����C_�E��ֶ��	�@f��+����ggCR��HD,R%�S��kQ�����?�\1�endstream
+endobj
+2299 0 obj <<
+/Type /Page
+/Contents 2300 0 R
+/Resources 2298 0 R
+/MediaBox [0 0 612 792]
+/Parent 2291 0 R
+>> endobj
+2301 0 obj <<
+/D [2299 0 R /XYZ 72 720 null]
+>> endobj
+2302 0 obj <<
+/D [2299 0 R /XYZ 72 583.685 null]
+>> endobj
+1077 0 obj <<
+/D [2299 0 R /XYZ 42.735 588.493 null]
+>> endobj
+2303 0 obj <<
+/D [2299 0 R /XYZ 42.735 535.193 null]
+>> endobj
+2304 0 obj <<
+/D [2299 0 R /XYZ 42.735 496.339 null]
+>> endobj
+1944 0 obj <<
+/D [2299 0 R /XYZ 42.735 457.484 null]
+>> endobj
+2305 0 obj <<
+/D [2299 0 R /XYZ 42.735 418.63 null]
+>> endobj
+2306 0 obj <<
+/D [2299 0 R /XYZ 42.735 379.776 null]
+>> endobj
+1927 0 obj <<
+/D [2299 0 R /XYZ 42.735 340.922 null]
+>> endobj
+1078 0 obj <<
+/D [2299 0 R /XYZ 42.735 316.513 null]
+>> endobj
+2307 0 obj <<
+/D [2299 0 R /XYZ 42.735 263.213 null]
+>> endobj
+2308 0 obj <<
+/D [2299 0 R /XYZ 42.735 224.359 null]
+>> endobj
+1772 0 obj <<
+/D [2299 0 R /XYZ 42.735 185.504 null]
+>> endobj
+1074 0 obj <<
+/D [2299 0 R /XYZ 42.735 146.65 null]
+>> endobj
+2298 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2311 0 obj <<
+/Length 2466      
+/Filter /FlateDecode
+>>
+stream
+x��Z�s�6�_�'i&�	 ��t
�i��WO�63w�Y�mNd)cRn�����)Jvz��(��k������od�'DRh�wq�g�Im�*h��=�i=���D��^_�'�ԣ���Ľ�㿿�:
+O��w�4�?���%��D���RZꗱNG��u��|�z�L��n�Y�v�iUb2�#yS*XgO�0����&�Hm��D�D�
x{
TSx*>R����1��C“��cL
�w�)h
���ab�c�@c�3� ˨qq������Zqg����W|j�� �<�	f����؁�_��D~���q븉�h�H`+
��a�Ѵ��ʽ�G$
��/b"�ݤ
+x	,T9�p�@�?���8f��s>�^�M����3�]��a��/��'(�cii;�K��� zl�h]0�0ǭ�d�P�.
��V���CkV�K�)]a����?�&L��Tw�V0̹)�<_���13&1�� �g�g��H�2�5w����yI ��I{z��2�
�8��y�,�}�
+�� Q��f���xR;��#<&��5��;&�)���Li�[$�2��<ߔ��)(C��\v�ڂA��%T
H�
̉T-�p��
��)�fx ��Ӎ�u��z�>?(܏�I/�5�s�~�uh̙ X�}�P���<�%�O�x��O��c��q�:�閧����F��>�E�p,��(
�րbz�+N]]=T�k�Pm��N�)��
+����~x�Q�h�N���rT���#v!��J�VW�SpV�joqGW1@
�;�$1/�6�&e"D�ɝ����!TT�Jg.���%�ߣXh����
����	�F����;�hc�lK�j�{�B��C �

��*}2�C !DQ��³s���ߓ8vu�[�
,��C<]��O
+i[�㖽����Ud�Uģ����$�ibqwp�$�O���rl!��c
�f��$&��͋��j�n�`ۚtԬ\o���
�$Y�ȭ��[�>-Z%�/gԷ�\�� 
�
+ ��qY7Ȩ��!s�c=�Νu;����O��uy3���R at K��܂���6����h�Ӧt����t��I~-�@�v!eV6���TRn'�X0��Y
+���7���_�.N)6���~o���h�-��A��0�O���4�-1Z
�^�Az͝�����:l��>�z�8�J������ΚV�lJ^���<d 0��+�?~�8�#�+��z8'pH�p��H�g贼���n�������-��A�3/�e;�H� �ݙ
��jM2#�
m��fÓd&�x��Q at F�"� ��nZn��2,E�
����ǘ�B���8��� �
���kJg���T
)�!eMN��=�(:�SF�N��J�pLIi�QCi��eQ!�?XF
�P�s{4Z��ҳ�e�pZ��t��2�"E�e_[���|��+]l�O`���m�g�Z��.�p�1�n"����4��:
+д��<��-�)q����끄�� /�Eb���^m���"
�a�W����Cڼ���6�������U0��
+��6)�b�������.$�6 at d͔���Z/�#�#����8�J �\�;7��O.��}�i4��Pl��A����
�^׼b�VB�K����x
t�x�E���HH,�x�u=����J$d
��Q�F�/#��A
.��
ǟ�H\�����-;l�=����G�[]��eݮ�9d��5Yn�d
��5ٶ��#,��,���s���(�_~[�6i�Ԡ
�\}��@pĊN�wM�Rta-B��jd/�U�`y:��--+b�a|KL��#�\>��	�.�.�W��7�5���wv�����<y9�iH�ؐ���uB㧗H2�X�wzϬ��
+mŕ��J�� ��k �B���[�I�˦�4�YDS�̔�6D��u�N0<�if:s�Pe;���=����{Sv[�:���;�?� m�&V/����y��:v.����%x�����z�S�9���z�5�M��Ц�Lӽ��Ef�)��(��\�g*�\O���)���
+ߖC��K�ȇH��F��#@_�y]D��a|:�ďx��
+b)���F�X�m(��P��',��
���#X\{��ud&u �9�p��p��O�c��<�Ǘ�{e�9�R@�C]
Վ�4)��h��̧�PĘ������P�E� _����N�"7���
+и�Y	6V:u  }t��~�����
�N�2���uZ��ǜ���'=j�l�
N�kwNQ���Z]N
��c>�ߙ��
�g;�]Z@��Q���D
3��n��>��U�A';�VD��NB��GKzU,�"B�baO�
n;��Q���*�m.2���mx�Z>���ϏF�ƚ�̡}��(�fK�krx����t�4�4JC�����D(_.����2�
��wݕ�0�K�"����>�H�o��o��/���L&�?��g%^O��H�%Z�
����"X1
R�8�x��:��endstream
+endobj
+2310 0 obj <<
+/Type /Page
+/Contents 2311 0 R
+/Resources 2309 0 R
+/MediaBox [0 0 612 792]
+/Parent 2291 0 R
+>> endobj
+2312 0 obj <<
+/D [2310 0 R /XYZ 72 720 null]
+>> endobj
+2227 0 obj <<
+/D [2310 0 R /XYZ 42.735 722.491 null]
+>> endobj
+1787 0 obj <<
+/D [2310 0 R /XYZ 42.735 698.088 null]
+>> endobj
+2313 0 obj <<
+/D [2310 0 R /XYZ 42.735 659.239 null]
+>> endobj
+1913 0 obj <<
+/D [2310 0 R /XYZ 42.735 605.944 null]
+>> endobj
+2314 0 obj <<
+/D [2310 0 R /XYZ 42.735 567.095 null]
+>> endobj
+1076 0 obj <<
+/D [2310 0 R /XYZ 42.735 528.246 null]
+>> endobj
+1075 0 obj <<
+/D [2310 0 R /XYZ 42.735 474.951 null]
+>> endobj
+2315 0 obj <<
+/D [2310 0 R /XYZ 42.735 421.656 null]
+>> endobj
+1079 0 obj <<
+/D [2310 0 R /XYZ 42.735 368.362 null]
+>> endobj
+2316 0 obj <<
+/D [2310 0 R /XYZ 42.735 315.067 null]
+>> endobj
+2317 0 obj <<
+/D [2310 0 R /XYZ 42.735 261.772 null]
+>> endobj
+2318 0 obj <<
+/D [2310 0 R /XYZ 42.735 222.923 null]
+>> endobj
+2319 0 obj <<
+/D [2310 0 R /XYZ 42.735 184.074 null]
+>> endobj
+2320 0 obj <<
+/D [2310 0 R /XYZ 42.735 130.78 null]
+>> endobj
+2309 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2323 0 obj <<
+/Length 2780      
+/Filter /FlateDecode
+>>
+stream
+x��Zmoܸ��_a�V�fi�"��P8���č}�\/T^k���Wە6>�ݏ��pHQ�־-��HifD�y]?={��\�{Q$r����{��K�L�
+f�?�O�*��O�'Q �
+�J�*�W�
a���X��lJ���	Wp]��
�i�
j�
��/0n����u��D[ 3� 	s�9k�
N�(�1���䧳���#%��šJ����uR/���Mt��T�qp0�I�*��M�=��PI��[
�n\���X�4�
��]Õ	�ܛ�Y$�,ۛFJ(�����^k�����j�3\��Aׂ7���2��M.���d���!E�5T6��z����l��q4u�(�qk�fq��
�jo*a[a栓滠sуN��:��k������ԴJ�9\�t�G����8
�5)�����I�=,��4x�r�����o
��d
+�(�6޳�6��Ŗ�Z.�6�f�f�z�?�xis
M�'i�*�À5�(�O�N�s�)q8+�BJE;��lp�*.-c�`өռ���b�3▾a�D�t{ڂ-��?��n�#
�ljL�Cx�`y���7��p`
ݧ��ı�����$���=gQ1�-�~�o�!8�b�c��L���T����{�-���!��x�|
�����:�e.Fv}�5��
+���u※�����O��[��\�N2I��L�=v���L_���+o��,[�L2�$Ѳ��S�Wg�Qg���WV,�y��?{t���
�����Bw�9
��H��
+��nl�G�e����j�1D�Xv�a�
}����>�
�-|D���LM�y:k�#-�Rhm#�ϴ��b$r�X(�t�
����Ty��7j)_<Y*�(c��$��*��"�{ �]
�8�!Y��ct�a�F��1s���hD=2�E�󮏁���)��>?�RzQl>�����i�T0[�
+���U[��a��]�f���$�b���T$Y���	|��*G�GE�f%�j
�h`��4�Ěl�S9fn�=Ea"�8� |A?`����R�،����]�V�
+t��	dn�%�Z]j��v�Vˢe�yqD�V���!�'��j����X�"���-�F�nB=P���ɬl�4A�s�n��d&U綀&2��
�4
l�A~�)�t���ڍ��(�rA��o�.�2F��s�1�}q���e�n�f����,|�T��R(`�a5\����(à�n�`����

�L��͝ŒwAIs��9�n����Hr6z����|�
X���!Ӭ�g��iv��������
+�HJ�d�|'&3
�#i�!3���3
�2��Q��E�[�|Aٝ5���-���jES�M0��ˢ��r̰ �B%�vW������i�0<�A�f
m���0���;2���w���S
+�
�^� %��
�l$=�0��*��#�&�q��|�2 z�gs{����&�
z O'K/�����#�?-i�<{��ht���S���7
��!8��M����*p�a,Rx�Mh*0f�:x�m�[4�RC[0���
.��jj�<v�C��n��n����Ƭ�
�c�:��q2
+S!�����J*R�I���D�rR���I�ȝ,=���N�v����5$q�ּ�hӣ���g��d=[��󙩑�ﭬ�1���-T��'���
�
���T
ɢ���%
�U�-QQ�B�s���*: �jn
�1U�
�zT�i�Ei^�c>K*H�����–��S����!a�Ž3ʱk�R���=W�<��
+D��z��
��Wd4e�e��Jr��w�CU�W�����L�'���"���/���ҖX���,ƹC�b�<�1�,d}�������
2y�e�JD�V'E��Wƾ?6�O�K�V�}��x
p�.et�ڛ�t6
+�H��An�+U��h�Jcȕ������*�{���,x]
z�Lv��
��_�n�c3�wb�d���#
/�{��y��ܯ@�4�"�x���
ҐM�K׳bU
��鮊y�;Uw���!�B9��q?�@�j�<�����ڧ�B�h�)
�(����Mcy��r��ɐw���*
������a�PO�%p[���G�
C�)�[J�5�:�f�4��Y
�,M���՛��}}{��ﰕ��%���=���S�z��N��f���Z ��fa���[��.�W8~�%�f-�5o����e��>��.^�����5zmed3��gV�t�]���\&os�jP)
��'x
+���簴��C.�bg�h_*
+�P��ss��
�yd

�}��G�Y��� ���Zh*��Ğ�ξ��)�	1�q�jP5;�2	pO��5��\�
+[��*0P�)�L�	m���N��R�&�\}�
+���R�S�ۮķ����w�
���m��/��0x)�� 	�\�
�
֡��G٣�l�L��I�3N(lgz�m�����Oy�s�nŅ���.��\G��-=ck�-
����s�L_�[��lrE��~�ᗧ���)L~?f%Z	�s?�<����<V�,���{^?ID��[�� ����kT7�TaF�Tb1�>����y�2/w��}d�c%
������ئa�?i����] |��4j �T-�"Oǎ/Q"�����z38��Ԩm3h��<!I���F��ڡ�er���W��yI�h�,�g���
�YKg7�+��i
S�p�J(��u��kKل֔
�<P��	Ȏ
�?�����~]r�V�fR�w>c��	�mt��
X�?���N��i(�8�w ږ-m{gn��"v��x??e�����S��6�f
�$$�zo����P�eȐ���٣���endstream
+endobj
+2322 0 obj <<
+/Type /Page
+/Contents 2323 0 R
+/Resources 2321 0 R
+/MediaBox [0 0 612 792]
+/Parent 2291 0 R
+>> endobj
+2324 0 obj <<
+/D [2322 0 R /XYZ 72 720 null]
+>> endobj
+1027 0 obj <<
+/D [2322 0 R /XYZ 42.735 722.491 null]
+>> endobj
+1028 0 obj <<
+/D [2322 0 R /XYZ 42.735 683.636 null]
+>> endobj
+2325 0 obj <<
+/D [2322 0 R /XYZ 42.735 615.89 null]
+>> endobj
+2326 0 obj <<
+/D [2322 0 R /XYZ 42.735 577.036 null]
+>> endobj
+2327 0 obj <<
+/D [2322 0 R /XYZ 42.735 538.182 null]
+>> endobj
+2328 0 obj <<
+/D [2322 0 R /XYZ 42.735 484.882 null]
+>> endobj
+2329 0 obj <<
+/D [2322 0 R /XYZ 42.735 446.027 null]
+>> endobj
+2330 0 obj <<
+/D [2322 0 R /XYZ 42.735 407.173 null]
+>> endobj
+2331 0 obj <<
+/D [2322 0 R /XYZ 42.735 353.873 null]
+>> endobj
+2332 0 obj <<
+/D [2322 0 R /XYZ 42.735 329.465 null]
+>> endobj
+1036 0 obj <<
+/D [2322 0 R /XYZ 42.735 276.164 null]
+>> endobj
+1029 0 obj <<
+/D [2322 0 R /XYZ 42.735 222.864 null]
+>> endobj
+2333 0 obj <<
+/D [2322 0 R /XYZ 42.735 184.01 null]
+>> endobj
+2228 0 obj <<
+/D [2322 0 R /XYZ 42.735 145.156 null]
+>> endobj
+2321 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F32 667 0 R /F35 663 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2336 0 obj <<
+/Length 472       
+/Filter /FlateDecode
+>>
+stream
+x�}SMo�0
��W;I@��Ӓ�]����j`��

�Ɍ�������Ȝ�؁�H��{��zqy�*"%��%��8E��\��o�
���+����
�
��
�t���
��	��
��:���Y��d
�
����^j�'����ֆ[q�#�[?1�i����m�U}������]�D�j�AB�B�G�Xv����^�/��Q3ʌq\;OD`�nj
+�"�і�ΐBnL�N�qZfmv0
+�m���w�~ǜ	�K^y�� ������`/`�
�<����)<C������p9�$�B��{O"s.�,�D�vL�G��)�m�cE���$�4c~�>)�cOo��Ϸ
�WL9�<�韘���M͐����&���c~u�և����N�R�\��-��Y������,���
V��
܍��90
�#����Ҝ�/�г�%��I�T��+��o�+*�X���_ �endstream
+endobj
+2335 0 obj <<
+/Type /Page
+/Contents 2336 0 R
+/Resources 2334 0 R
+/MediaBox [0 0 612 792]
+/Parent 2291 0 R
+>> endobj
+2337 0 obj <<
+/D [2335 0 R /XYZ 72 720 null]
+>> endobj
+2338 0 obj <<
+/D [2335 0 R /XYZ 42.735 722.491 null]
+>> endobj
+2339 0 obj <<
+/D [2335 0 R /XYZ 42.735 683.636 null]
+>> endobj
+2334 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2342 0 obj <<
+/Length 1752      
+/Filter /FlateDecode
+>>
+stream
+x��YKs#5��W�8��X��y�b��"\�{�"

�8q���I6P�o����H�<v`���a6
M��_?�}1>�암�@�B�|0�
J5(�JH
o�/�
�D�#��_�?�*<�\��Ѓ��g at 5�g
+��[xּ{	�
���%�ZU"�J���p��ura�e�6Ñ.���	���{���ڈ�dчo��
+?,�y�gò7F��R�:'�#�)���HB��@(Y�I�vY�4�
���bZ'���v�L�
U���x5��?�N�[bd[֝^�Y�}���dU���ͪ�,i�Hb�b�����0�iÚ��+����l7V�:�NYf ��G
Қ����閔!=PǴJf֣�	���9ne�9�,�qc������Z���t7��R���
�Nq
mP�g}`ic��[���=���º��p��<�+�/o���[��"�i�����¨���מ�s5T�dr��)�}?�`_Y��τ-�� X��s��~������/=�w�s�
�JH*H���ڃ�6 ��{/B��;~�A�.X��]�~1A~O&--�W�����G{j.�Ӓ�c����I�_�+��@�����mߝ�
�X8���(���f�^���o���ԵW��-��5Y����x������MJ�&c���Q.u�;K��ܚ�/�:��m�s.�-S6s���>��~K
���:7K��]hq�O��gX|�O�0����1��2$m�Hוв½�m�3���	��S��$Z�k�dx
�����-�DtdU������~�5�x at M��S'4�
�B�R��B�O�;֕Ak�l����UhH�G�5�.
�Oa�
S+b��r��|�8VH{�1#'
�&U"�
+~ DҊ(/�L�JIQ�9�{�
��L	C�y
�3�#0�����D�;E�
�:�ڼ(�ɢVGf���v Dvҁ��`(X��d�(y�a6ӡ*�kÞ�-���DI;M-��qB�N��)�XBFe-�ZE[Fc�~b_��8'�U��;���r�l͂�h���x/������ڰl�O�
�8c��)c��>=��H��"�ڝ���c�X

�����%n�Ď����pF}]f�-�������,��'�����v����~�6u����������˝�Q��N��s�
�y ���3I`YЧm���9

�l0ڃג���r� �ZnX�upα��U��z�Cn���Q&��ޘ�A�RXv|�$�~4�e�{~�M[3:C�.�����QV	Rt��.�Hi��Z���z$�(�
~��T�k� �&����6/tm�?��V"/���"���Ҩ�Mv.B
���Ǻ�H]��4�͙=g�#�����4�'a/��ӯ����(�PU��d-2��8�����a?J�rU��.�^��?��<�W���I�X�i��M [...]
+*}
���S>�
�Ρ�x ,uu
�Y��Ɓ�|
���(҂I�� ys
���8GJ+�PXΟ����y�^ݚ�ݟ}�Q𩲏���0��������%���^�#Û�7���3�*���GUD�[q���<�ӎ����1���
Q\�����/bF��5O�N݅7ܯ"����	r���
���ʦ�t{fݘ
6���'���ֈvi6XD��ƥ��x�;lh�
+bc���?�nn�p,��/o�k�A
ozS�dG���9�����sQ�9�T����O�'�s��m��endstream
+endobj
+2341 0 obj <<
+/Type /Page
+/Contents 2342 0 R
+/Resources 2340 0 R
+/MediaBox [0 0 612 792]
+/Parent 2350 0 R
+/Annots [ 2344 0 R 2345 0 R 2349 0 R ]
+>> endobj
+2344 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [408.374 594.543 431.145 608.377]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.8) >>
+>> endobj
+2345 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [266.313 580.097 289.084 593.931]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.2) >>
+>> endobj
+2349 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [427.454 147.192 450.224 161.026]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.8) >>
+>> endobj
+2343 0 obj <<
+/D [2341 0 R /XYZ 72 720 null]
+>> endobj
+2346 0 obj <<
+/D [2341 0 R /XYZ 72 542.899 null]
+>> endobj
+2347 0 obj <<
+/D [2341 0 R /XYZ 72 475.144 null]
+>> endobj
+2348 0 obj <<
+/D [2341 0 R /XYZ 72 358.571 null]
+>> endobj
+2340 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2353 0 obj <<
+/Length 2425      
+/Filter /FlateDecode
+>>
+stream
+xڵZKs#����%UT���9��-q�UN�IU���>P��b�"�V�{7�

0��f}�4�����C7�������n�`�17���1�ܴ�2����ϋOR��_����I$���{��V,^�=BcО���V���[���	�Q��n�ڶ�o�q=>C�ш��R�/%5���q�A���
�¤R3��;7�\|y�-���lO���4�+R�Otx�
��_����6�|���"��sD�6���ވ�ۭ1�Ց^��¼��ɋ�,o�O�y�Z�FYw��n��pΥ�f��a���K�����~���H�c�܊q�Gs�V�1wל1w�:m�0x�en`S�w���&%���v��A�bo�鲽�⽺e{��-3{N�{E��r2랕�]ʎ�&xB��P�5��@Åw����|c�h�~�u���X�
]��
���V�eK���$P�Gj[kK:�I��(z�=�.>��
+0
|�
K�����|!u'��[��y��#Z��I
��!��ǰ��8��ެq�U2�w�����l������@�
@J
�f���u;Fij�x�]�Rz���
Ѝ�̙n�跉5����?~?
+:��HS��ؙt���u0֏�L=R�R��O�*1�3F֎�%���Njao��}[J~�H�����
T�
<-L6'މ��Y9�jC�~𲗡
@��d��
R�K�@JѼ���<XMڜg੅��V�I�
�ݨq�� '
	
8�K'&r����	`��.�A��w
�ǭ����
l���-Q�O�H����{f�#9��t�cZ2�5d��VxSy�����Oܧ�52BS	��"��%�^��iYE).}�L�cm䱷�g�4�@�
���9�ʀC�.���R�y�P��u��6#�<ʻ2�B��_�<Ӫ�K�sC��r;�a��c�AɠE�d���kw�� ��C>��
J�ߘr�(��L�;F1
�u��t#;�
;Lo0���<J��u+�4���Z�JpfE;�ˍ�<썮y��f��w�����yT�j���o!
^c�8��ݾRpIe @�Ǎ�%Ȳ��A1.nB�q��~����Hd���Ŵ"�\�+2ٴg*2�l,��?A��U�2�Y+G` [...]
W�S�X(h����.�
H��l8�
+��k���T�ƴnI;�{�-�G9�ŝ��̵��[;ۦa�
ݮ���d��ě��@���s�B�d�lή��`1ͿC� i�|����:7p�N�����
�N����"��2e\�
��:֐�IR�w��&� 
'Gʅ��1
,y��2����)�l�|�f�,³{��g��%;
��jdI�Q��ׇd�I��,��ѕ�/
Y��I���x���9B�L��!AZi�Su�����4yF�|�4�O9�@8=8S
�
+�����/� ���}���I�.9
���ʾ�6xԢἇ�����y�z�@d���v�P�Ԭ����\B�>2�n
.���LH�'��+��?
h�-I�
"ޜ�$�8���X�~�I��u�f�$�㳸f�����	
��:
�hw(3nt���Bk+��N!P 8^�����
+�d����1=Y{����6$:���}⺟s�֫�s�
+��ĥ�j� nק�/�l�H�a��5���4A��k9�V��G�Wd���L����cR�
�ٙ�=(@.����
:���^�g-�x	�)&�����6�[�̓���s�*9�
�	ec����.M'�ِ�on�����3��c� ��GH���y̾A�ς����'|�Z���iS/�y��	��������{D%A�&%��ɼg�^��^&���3?���gq4��uԧV�|\Q3sb'y�M��H �\�a.��\ʭ�����$g&��J+X�J�)�Q�.�{;=ZtOӤ�ݗ������Fd���T�<>~i�9�qQ/���\��
./�9�l?mp������śi)�e���C.�)8�����
?�����c�	�����v&�������fUp	DC�'ȟEB�ZB
�Uw�q��.F��eW��[��-�jna&�c���q�9� �Xd�p��2����i
�+�3zF���I�~Ѥӟ���L�\0�)��X����E� �{�T���
�@�s���r�	���'S���T>ߺ|��+?R������uG���/]Ƥ��X8�*
�m^���~�K5��E�7� [...]
+endobj
+2352 0 obj <<
+/Type /Page
+/Contents 2353 0 R
+/Resources 2351 0 R
+/MediaBox [0 0 612 792]
+/Parent 2350 0 R
+>> endobj
+2354 0 obj <<
+/D [2352 0 R /XYZ 72 720 null]
+>> endobj
+2351 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2357 0 obj <<
+/Length 2435      
+/Filter /FlateDecode
+>>
+stream
+x��ZKs����!�Q�I/>|[o�Φl�R�8jđ��+��ʻ�>�@h���hK)��%���ќ�/�|���ݙeg�����JS�5U[V����Y���?���f3ᮩ�Ye'��b����'��J�p|=
5ɷmT٨��}u^hY��p����{�ni��PB�f�꺔UM���Yo��
���MfkU���r�H]��o����ͼ r���R����_8���U��� )Q3#�P?۠+���֟�v�L���
�ʔ�\Ye�w��\���э����Y!(ߨ�B�R���31敵f�M���2)�OA��Ẇ
��0�f�(���}t�v�Y�~ű����ؓ��D��8tG��vsX�sK����
w�Q�i�R@ʲ������M��Қ,�
+����ɁS둽qci��%�ߚ�ù1v�
��鈁zd����A��m���i

q��h�����r�
%�~Wtm3{�vq�ꕲ'��v�����?:�
�Ho��
>2a�xdJ��
BP�UՕ[�䰷���
 (�W�	҉�����=
�^��w!K��H'EO���L
���G�wL�*�. ��L)e"ϐ�E�vt�(��jV�7��S;E�]?�{r�>2���<�
��on�s�n��i��
��jWcp���&���q�z�@�T
+!K6��־�
�!�nɻ��Ud��M��N΅�n?+�-��=h��qs�҉�3���K�=�j
s��G�U`x���ұ%��lc�V6�d����*�*+�������4Q�����kB��ࣶ��a�5Y���
���W3���0բ΄i�<��y6��-��B��N�����!;��)N?�����"���a�C��7wφ���ϲ��8���.��A�X����z��4�����k���q
+q��yn6�;w��C���3#2:�� ���``r��H	2X
y�!����7�
���%�w9o�{O5�B�q"��0�OB�
��T�N��՗p�ܩ&kOͫQ��(1z�>�ԉX���@���3}�u�-�h�;O�9u�f�jb3 "l6�aO�����}��
���j�~� Lw% G�S�>��s蠧�t��2˖���׻ċ���y^��
��5
��OG��Q�ʎ��l�/������1��B3@ґa���"طy|�q}�$jS�λ�
��n)IP��ޱ�w!
�9կ)%�I��'�i)Y�m7�0wI,hIn�u���@h P��Z�38�w	�㻰Ja*W���1��C�[��R�„>�7�v7��rk�0�
\�d߉Y%ѥ�.���i��.N��w~�?�CQ�~�]��ߵ�
u2xD��݂{�b���
�K�wn�����
͋��Љ��@��x�.״��<>b��%��_|N����s��u*��"�G�u7�/q8�N׌"��4e#k��ߎ
+�겭��-�PI& !����\{�\�P��T���`�╪ ?62��%���e��
�{���U�fe�`Gǃͨ��;)�_��������>�,�^?0G�
��}�P���������u�E��'p�H�r�V��g,���p�q��Zt
���14i��c7�ck��U��� �㹞a���b at Wf�p"
d\�qʠ���NȞa8�f��C���x\��RF�����86��t���~r��Z��|?�p�u
`_
l)J<�����4D����C`�֚8 ��Q���^{���SbK�8���;�����ADl�!�yJڵ��S�
%�1+!`��f�	���F�(�p>
5|䝉".����b^��[_X�M#�,F��ڣ�VԭZ��Y�<��e�K%���BH ٦�m$3>D����y
Ǯ��}��zdUмtŖ��6H���iVo�fڎ�}�����z�I��G�6��!wG>#���&�\3�B��"��\�mH!I�3�ޚTԨ�-kC�ً}Xa���c��������Kz8_���f1��6���O�|8��l�_F|\o����o���Z5���c]ع�RX���L��`q��c!�l���|�Lp�"���c�Ò����gh��E�i���p؝A� �O��� ?�Ls��$
�

\q�)U�w�\j[r{:-"�S�G��	�1�9<2?�6�
��k�I_�ψ��3�f�5<�:�
�<m�C&V�$	N�g;GN���P��1񗽯��Ǎ�2C��~
+9��ARź�{�R�}dT
K�.`se�*k�w7���ܕZ̩Z	������t'@���j���g�` ��?#s�`J
o9�W��>�R�j;ix� ox�s�����6vDu�-wDe�ʦ�wD_�Q�B}�_�X���
����\fDŶ��a�+���F�����g��,���	?X|��q�<z`|{���uz�9�sm�N���o�G�7�\��)Gťendstream
+endobj
+2356 0 obj <<
+/Type /Page
+/Contents 2357 0 R
+/Resources 2355 0 R
+/MediaBox [0 0 612 792]
+/Parent 2350 0 R
+>> endobj
+2358 0 obj <<
+/D [2356 0 R /XYZ 72 720 null]
+>> endobj
+2359 0 obj <<
+/D [2356 0 R /XYZ 72 406.065 null]
+>> endobj
+2355 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2362 0 obj <<
+/Length 2642      
+/Filter /FlateDecode
+>>
+stream
+x���n#��}��(� !
��K7)��@�i.���ْ�Z[�’�l
��=$9��#K����hF3������^}��1y�qJ��-O
?1�*���ߓ7�N�d��O���L�s���o�+f1I�'
�)f2K���n��Y��Ŵ�q;P�
+�=\�	w��]J
 �e��d
#�8�¿����
�
+�/���f�Bx?G0	�f���b�tQ 	�6 ��i���O���p�����u?��h@��Z
i�Po�@�
I�!
�+7��e1v�+{�.��]�lxu�@D�E�Az�8
%Ri����l�`n�H��K)�
D�H��
W�LU�˿�
+~���rx�
<v���eHɲ�
+2�?%�wH��iz���!����7�Z#C.
+V���> J~�~
+j��

�V6�մ㚹�O0�p���iK%ëo�mL+q���g^��� o�>
c�ؔM��LO��b++xC��t�ָt��.��
+��
��;ƗƁ� �� �Y#�Ig���(�7���r EV�!:�ȍŀR�̸k������ϼ���\܆o���C�Z���=�=�'�ejr����ua@~���;��f�ׅ/6{ݱ+
��ޯ�NP�W�pC��&,Lv�z���x_ )�g$��
Δ�]�Ue_��m���>�G�׶:e�#\�
��+���K'����~����	��a���0N��)~�+��	��@x!�qp p�k�K�\��cP{9�n�ZT#%.����Pb��]4�:h����C��9
���_�JU�2ñ�f
�;`KX8=P��I j��� Υ�qݳ˔��@!scq�U+�
�@l
s���\	j�B2RwA�;!9�T����fW�
M�Jm����9<�
�8˶�Y@����
�� �a�
��-�1A��'�.gL�)�1���
��B��m�ث���\r�
[���;d�:Nfqͨ�-;RDh�|���iJ�\�M�PVp�a�Z'�$T�J� !'��z!�J�)i��A�p��iqRX��x3��:�ly
+�sۤ���v��qJ@��`{l���p�r
��L X�6&� �d5
!<��y1z��G����)³z�
qba�Іh��MNQ��6�n�Gv7����J�n�i���gtB��c
�NU��
8�]YK„~F����X#��	�H̑�ei�;H����n���\�HQe):HCĉ$Bļ�=�b �M���i�em	L���X�M��&&��!����� æ@?o�
+���B2��j�"��\[����N��b 
�M��+T�
U�
����bL�58$N��|��+
&��c���f_@�,�����t |��m!��@���2^0�`�+�A
��0+0�F�8�m�
MN�̰��,	b�L�s���*:���m�+�?������p�Y�l�kq�ˑ$�>�������a�h�2�ك�����

l�	y���!��Yc�=,��߾�T�
Ÿ�@�����0�`eAe
+� �
�H���T45��J)|��|�:�q��
R�"��k**�e���F�!J%�zO�
�f@�D���]�L�0��~ 
���'��
��uL�-�
ZT"(B�A�U�
�NhU*-$n
��91
��BL�<&���6�
��> �
b+��FW�8l���@�ՠ��ge9���v4�<�)��S�Z&�GH�E��������O���p����Z1��
+�U���k�m���8^�64J�|fM��~�i+X0(暱����&�R���$���-(`��׭���N�^���&�t�r;!��zQv}
Z.�̋P�XDٔ ��oW�x���7i`U�'�m�i���D"�>����U2�Q�2,C��(�B�t�����S�ٗ��OCfx@��Cf��i�%6�衚
��
� �p0 �HGAQX9�!*P��k
��*��	z7���:��
p>G�
+�{�2T�܎�Bb���SE;��	
�3q���v䮒��Ti�jWG*����K,+����d��L �6�"W
�4���Z��\8�'�x�'�)y�[�aN�h
+��UQ�L�^�6�C�$�	S4�fe���w�O�٣���ɛZ� �b�P�o ;��p�?P^_�#�Otpc�+y
+
�-�v+Rgq��=��X�<(B&T��Q.��%^©F�W;GclE[���Vӎu6��c$���-
�>�
hk
�HZ5�+ʔ�
fg��cm��\2�lϜ��R#u��b�=�F����S���L�5��U�y�}(ʩ(�������O��{'�s�-��^x:=�����K:䲍<���o̔-߲1��7����
w������׹��� n��A���PtL?��������$e��
�D9[����J6�v�g�
� ���b�G��g@�
|
�����Yim�|����:
<�]�CJ������nP�
�R��c��0��������(�he�����ľ��:&��&���Y엯Y:aQ�i<GU �!�U-U[a���}�a�b-����r�xb��?�HD�(��\�Vy�0N<f��k7Y�
��ݏ 
�� !��?i�"kQ�@N l*wiC�192�O2w�P߁+��׬?ʳv�_<
y
$�P��g��W
W�t�zs�꿁�]endstream
+endobj
+2361 0 obj <<
+/Type /Page
+/Contents 2362 0 R
+/Resources 2360 0 R
+/MediaBox [0 0 612 792]
+/Parent 2350 0 R
+>> endobj
+2363 0 obj <<
+/D [2361 0 R /XYZ 72 720 null]
+>> endobj
+2364 0 obj <<
+/D [2361 0 R /XYZ 72 698.015 null]
+>> endobj
+2365 0 obj <<
+/D [2361 0 R /XYZ 72 702.996 null]
+>> endobj
+2366 0 obj <<
+/D [2361 0 R /XYZ 72 426.85 null]
+>> endobj
+2360 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F75 1442 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F69 550 0 R /F73 1467 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2369 0 obj <<
+/Length 2346      
+/Filter /FlateDecode
+>>
+stream
+xڭZYoG~�� �<
����l^���.`�H�<H��	
������3MJ��0�
5]�u|u��y���+&݄1┚\-'��'�ZB%�X�ٽ�N���׋W�$�3CՄz���S����I^�q	
�H��������j>�	E����o7�箿�7�h�Yb�>;x���
���)�]�7Uw��S˻�a-Q
+#-Qr2�H���(ׁ��!� ���dt"rm�%��rr$�~:�B��T4XsC��U��j�mp����L�kH6�Rmu�я�B[o�w4�9��%���u��V�,J��H�JMp���[����Q�"͢!4�
h3<�����ñ�V�\��2�.�d�4kO�o����l_����q�˂��kL��ކ�J��_<���[>�:��V
+�Ăӕ4Ab0U�*����jBm�Y�����(֛@�b4�%�R����v��I�~먭�����}T��[��
���ғ����!ә�8�i
�7�ݥ�o�<����ut�E��s����p���B�A"�~�6Xzn��G�q�R�\�h� ��B�g�ʛ�[��>_ߡ��A�u�|w����l�6�072��PXo[f� 
)�K?��*b��\
l���}�Ch�K���ax�p�����m�Rc���l!
�K�d��
�?��I�`�*�JQ �2���@ *NR
+"�)��k1Q at b��
�4�6���� �i�Q�b&]��?q=�YBlr�OI��I}t$�&
+
b���pkf�u�bY+m��V-3ɀ�U���GM;�(
����͍	b���s[T�K���Ǥ����������

�d����-�B?����M`�,;
�
��5�p��&8T�/Ϸ�+k�o������K�7UeeCy��|p��{>h��n�?�d�l�9�v1�{I ���v��2����Q�U��V�x

�.0<l��f�+_�^��	"�
�^6KpZ'+�Fa/��Iı��O�_o/s�^*J7�@C��x3g�&i�Т��<��DB	�E�
+WQu�E5u�t�i'���N^��ՠ�
+��>T$���ݰSum�f��k�d|q����&�Ú/T�
kqK�}�<�-�(z�,�Br�r
S�ş�����
Pr#�ߦNf�;@�1�N!�8,����m�
+7�

��� U]�:��ᵸ�ձ'�%�m�����ı���.��]X��{�����/��C0�{#��G��@�{d6�
�G����;�Gp$-t�
+� �n�Vm\�)���j��m��e0e�
m�Fq+�|��6
64���
[��Qf���p:
�����U�M|���C3Yv9���p��=��%�/E .�n�
�����>�|��
t2�fI�"QO)R�9.�(�x�X������F{+W+Y�ڴ�2V���f<h^�}�**�b�G�c�m�kH��+
�Q�)h�S'S��G�qZ�`&�ǚ��]����]���'�bD����B�F

5�	D�*�hU��C_�n���o�ui ���1���B��<K��V�2C��)�K&X���������y\����̘q$�b���
��yb�-	�?ʒ"W"-s}���Ը��l�`D
Fԕ
h�گ��p}
~<h�!�!��><�
i
v����>6ܐ6q[h卿�
A(�X2�.�����4��؍����m���$�.�;�G�4_�nd���
+h�������Wi
߶�z��t퓡�m
������}��"���
+a���
 Z��N6��.�g�b
Ҁ��%+��D�=��AV�U[���L��
� �RqI����w,M��H�*��TT�y���Y�2t����oI�?p���2�@;��
'	�L$R�2����I.H$>`�kĬCwz�퉛�^��>���L+Ƃ�3��Z<9!��NVe��kNu4���/3���p�M��|7B���֎��>��
,�j�<��1G���75��^'�ܼ	o���	I>�K��<�]x��>�w?.ۡ��E�*
�>�®���\�����/
���É��FU���V���+x:t謠�0^$��\B���(��w��L��LY�d�m
q�R4j��)�b;��#a��iH��c���l�Y��G
�
F IS�
T��o-�U���>ᚎ�<9��7?n9�p�;:K;�fA9aN_��]�?~ڬCӒ��m5ި�
+h��3�yF噃�ïZl�_/�?��Sc�g/.~~)�d�iI��
�JTU�:B��Pl���nT���
i�c:&+��-�d�B��6�.�
O�i�K_T��V>�T	��4�����M�e�
��E��ٵ��¯�?[�b��H���۝t����	s�C
��T�8�f��C"ų���
��^bendstream
+endobj
+2368 0 obj <<
+/Type /Page
+/Contents 2369 0 R
+/Resources 2367 0 R
+/MediaBox [0 0 612 792]
+/Parent 2350 0 R
+>> endobj
+2370 0 obj <<
+/D [2368 0 R /XYZ 72 720 null]
+>> endobj
+2371 0 obj <<
+/D [2368 0 R /XYZ 72 464.62 null]
+>> endobj
+2367 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F73 1467 0 R /F75 1442 0 R /F114 560 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2374 0 obj <<
+/Length 909       
+/Filter /FlateDecode
+>>
+stream
+x��VIo�@��Wp��0��
/�%��ڔ$UQ�n�
Aa ���mc��TU��z{�m��ٗ���k�{��Rcz�i/ֽ�K��)��
\ߩ`�n�;ج��o7B_�����k�vlx����71��v�d ;i��~�{D+a�{k�F�5�3��.a������i9�Wn_GN�v�\�:GA�wv�1d}-ڸ�mE�Bӭ�A�͛x��x�;+�G[v ��+�>�U
��0qu�<��B��!kp�jct~��
��
+Èrxa�C��	�!�+�+�g�z��L�)��xS��C���m���0�wS�m��U$G*(^̳��tiI���PY0�SV\�d

��8_�S�:U:2�G�/�

��l�8v.��$uB��OY�F4������'���OJ��~�;
�=��C��S�c�����9D�E��0��jǔ�C6/[fUn0!�q$��(}?�U�������D����
��f�\����H�Tb9�	b�tJ��t��N
P�
>
+�j�@��&!�L���$�j[�I��l	E���$��mS�;���:q��߀	�&�{��!" ���KY 6F�:�����˂�:=@)˛�617���۞xڜ
Gd�A�g۠E- �jX��Q�Q�~�V�&7�y`>�]޺W� 7ƫ�
+�F�4�&It��p^�D# �A~t7
�0���i�#�?AhV��3�g;w��j��}Vf�}=�%�J����2g���lVV�fN�´¯V�v�4"�8}G����$��t7����rY[�u+��g#�n��ki��k��?q����Ľ�������i]h
=
�!_l�g|��~����_O.��Q��H�Q(~N��|%n(�B�{l	m��HN<���ȣ�����v���&F]�
 ��Fi�6DB�"'oF'� ��y8endstream
+endobj
+2373 0 obj <<
+/Type /Page
+/Contents 2374 0 R
+/Resources 2372 0 R
+/MediaBox [0 0 612 792]
+/Parent 2350 0 R
+>> endobj
+2375 0 obj <<
+/D [2373 0 R /XYZ 72 720 null]
+>> endobj
+2376 0 obj <<
+/D [2373 0 R /XYZ 72 700.334 null]
+>> endobj
+2372 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2379 0 obj <<
+/Length 1924      
+/Filter /FlateDecode
+>>
+stream
+x��ZK��6��W=��I�����M��i��=�
�������&��o�
J�LY�$MQ��z���f83��
>�4�PI�&��D��LIRxZ�2�3:ep����;Xτ�>�D
+>I���*�*�:���k�����\�"��H��l����G������z6�2�~] ��>?��ܲ�x����tzWWm~�
,�PJ�̈0�)#,�̙ L�F�o���3���v�i��o��Y��f�\�4�j�nY�-�[xs�R���Y�ή}=�2�m��HW����@�C�e���Rs��v�~]��{��]7@�p/q.`��z��-
~k�4Ɗ���bh/*��9��g�#Wyk��/�޶�9Z�4�'��}W���+g&ˠ)���L�����3��y^z�z�<�.��[X�|[��`
P�X
Έ"�v+�!�kT�eӕ����b�����v�B}��¾n�J߈�
�P*� (�W�y�,[
E"��Re��u�h k�}'���$K<X�kT���uĪW�;��g�O���7��0�y$�@zd�
���ri��@]��\����l���zi������ї�yF��/u���ן��[Q�:5F:�DM��`�F|C��5�~��]����??�˟��
 [...]
+.�#jM
�����y�c��5�)̝�GfS���0Nϯ5���^�9��K���IA����z��$*%2ɐ�K
O�,"	D	'���y�%�ܯ�τG�R�b<��D�W\��f+}˻�w��"5���	nY$�
~:���+���2`gdL�VӴP2F��UnK1��۬�s�"���>�J��h��'{ʦ
��=66�y�;f+{;��8K��I{(�]���0�e��P{��l�NJ]
�����N�H8.�H4�0d�,%������|�b�$�J�`�`ju�vvw����(ᡭdڲŜ4+WH���;����~.!�ex4�g������A

���b�ٶ��K/V�u�E�s���
t��j
�^���5l��ڈo�]�����s”³E���1�`Zp5��p\�d�ߝ�|NiBD�����2i&˂b^�����-�����h���A￳
�ၶ�4��l�>V��+R߆���7w�h/�����0�����FF�d� �s8 �/���;�|v~@�:
 [...]
+	_�^�s��4���*
��O�^�B%&�+أ�8X�
�
gT�1��%g}�[Ks�|�kF
m*$�?5d�ȥ
jʠ�*zy���]L&���eԖ4u"o#!ZA$���=��
�yY�à�j
��<���*�yL�I
j��z���T����1���9P
j�!zi˯��9��,'�J�=��G�;�H�3(2��uo�m1Dlum���3�^M����+oJW��}{ԡ]&	�w�+oJ��/3��̧!��5�
��}ND\)�a{�%��Úq��/�j��f��O�����H����L�� ��H at B
X�Nd����3����v7a@艎_��$s�5>'�E�~^�G�����)��������%�+2�G|��s|Ы�{��Q��CL�`�Ɛʣe�����<�k	���zf���l7
f�`Nc���w=�u��d��D�\������N���cMe\��K=:{Ջ�h��7��Wh����vl��^���g�:�(�?y��[x�XT12�rXS���=&[��?�w���	�t��4ˉ���w��G�W<�f��o�U|=endstream
+endobj
+2378 0 obj <<
+/Type /Page
+/Contents 2379 0 R
+/Resources 2377 0 R
+/MediaBox [0 0 612 792]
+/Parent 2386 0 R
+/Annots [ 2381 0 R 2382 0 R ]
+>> endobj
+2381 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [280.982 648.899 303.752 662.733]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.8) >>
+>> endobj
+2382 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [335.474 634.453 358.244 648.287]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.1) >>
+>> endobj
+2380 0 obj <<
+/D [2378 0 R /XYZ 72 720 null]
+>> endobj
+2383 0 obj <<
+/D [2378 0 R /XYZ 72 597.429 null]
+>> endobj
+2384 0 obj <<
+/D [2378 0 R /XYZ 72 529.848 null]
+>> endobj
+2385 0 obj <<
+/D [2378 0 R /XYZ 72 400.355 null]
+>> endobj
+2377 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2389 0 obj <<
+/Length 2482      
+/Filter /FlateDecode
+>>
+stream
+xڵ�r��>_�K*rՈ��$��qv+���*�$�-Sc�����
g���@�%���@��F�_�����{iܕ�����n{պ��W�h+a`��_�wJ����f��̈́�F�+�'=]���p���Le[�����h�:\�v�������Zի���Z+�:����3<>�Շ�ۛۛ�A�k䪣
����0?mi�~ϸ�G���w�靰�
p���y{�=d��a��G�����0n�m�൮+�ګ5�D��rGFtϲ��b��S+W�A
+��W@b�kk=��8ì�G�+?�	?�v��_�>�/�k���
۲�^��]��^��������.1B9]	��
+N4�&��l�����n�8fWۏ�2OS0H˨J��j-MeL�A���ږȆ�Cx�k��SU`�]�p����ƃM�����I�RKl�:M%

��d���xf�>���?���t�>��\*C 1'�@o��<��Utq���2��q��Ȝ���^Hi�
��lGK��)W�>�zD�����	[RHz����~�":<��?wA���������Zk�F?��P��fW�&����0�hZ0���勞��� .G�C����V���)�$����x)�VF΃j�Zfժ]Y[`<�x��^�~:)7�06��e�e�
;��
+���>4�D��6
xK7bx�
+�C�׵�O
���{R�a�R
�qi���
lt��Bm��F�=�����	��
+[kQ5�f]Qu��˂?���;���~^��M�m �4J��D�}O��@�"FJٲ��z�𔢌"�� q�w>�� w���q��"[Y��&�G9�$�6������h =�}v��@�" �Ȕ�h�F�k��%v���b
+���<����H��8f5�cj�`�C2�YV�v�4��Wₓ/XG&��K��Gu�
+��=��!�b�-	r��Z�
r���,�D̆'I~D�e�_]~`>��P�ȃ
$�苟
<k s�.+��M�y�ؿ�%���ks�hۑj���6�{gO�
�=��iS���p��aҖ��閒O�X̹��C��g��@nޅ�,�� y��eFc�ܤ��Ɉ��^f�WTc\Q^��~)��������ң"
��i\�qA��udzP#η͑yf^w���4m"�):�aT�b1�{d�g��4�	���Ɲs�R.G(�8�0�S~6#�C�&��NJ�R�8���?Ab��AMtssd`�����:���v�wQ0p�k����#Ij�b�(-�M��!��Mv��
n�#�4Q~�`�q�K���X�Ĉ̙�K*i�"�Gg��Gn���*�+g^�a#� Z��◬e�3(r��e8��+s#捞/�C�_S+�PL�L]^�b��D��9��
'�G�%��LO�t_
��C�nʼn�]�����U_�`K7ρpp��Q���0b%X2�
+Z��t������!�La����wMS=�����R��zY���e�6����
�1j� S���Vd�ȹnDBb`��3��`f���H7�	ĩnP�SU;�i
���I}�&��I��#�A
}��D'6�\J��!��Y�yO�
+��c8����Q�[�q�C�����
�nt[�o� ��o�`gb���%�O�rvZP��}����� uU������]���2b��I
9�:*�+P	�o��s1�v��=���
�W�Q(�7%�#*!�΋
��u�N7�J�*P��f�I��cNj��1����
?>����e��
+�a��(��WE�Q�Ϫ�H
����R�3&��:p�+6�ò.��)*¤.?bI��E�ѷ�W����f�H�ȓZM�\]lB��]�q^n��zJ[I��d�.�e�r�9w	S��i���B�?��Ӆ������Ħj�x\Sp��L������|)� ��
+˰���SH�2A�7Ac
&�#�_?�Z3��s�
R.�T�(�TN|
�����T��L�@\XHo����)A]	e؉T�iπ�ER��-M&�P ^/����=�E��*B���s�9!=��%�v����@Z�EQ�j.J��S2!.�iO��Y�0�ΥN� �F�ʇ��mb�x�ʝce/9�Ԟ����0y�>Z�܉u��ݱ����1�q��TT���?�x�HY�KJ†�¤�TQt

s�s�M�~�X�@dm+㢉<Rճ'�(�����#
�#AnX���:�1;�Z�VU�vˢ�Ө K�C�۩����1�H3��s*.w�I�4ڹV �px�)
�	,B*iSN��>��{�Ը�%���	��s�{��Ы��7�?I8[#���j�.j���?��.v�
q9�
�uĿ�%���������n�a��tUj��J����tuGT��.蜁����a��7��c�ɣWo�[��8�
}�����������={w|� ]Wm���ʊ��P��q�X����y��ڿ [...]
s��
u��Jc�媶mө|
W�3�|w��)	
6endstream
+endobj
+2388 0 obj <<
+/Type /Page
+/Contents 2389 0 R
+/Resources 2387 0 R
+/MediaBox [0 0 612 792]
+/Parent 2386 0 R
+>> endobj
+2390 0 obj <<
+/D [2388 0 R /XYZ 72 720 null]
+>> endobj
+2391 0 obj <<
+/D [2388 0 R /XYZ 72 142.906 null]
+>> endobj
+2387 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2394 0 obj <<
+/Length 1687      
+/Filter /FlateDecode
+>>
+stream
+x��YKs�6
���tz���*�ԃ;mg���5m�tz�����]?2��lr�o/�(S�����X" �����՗�
�/�HuQ\\�/j��E��i�`b���].����?e^2Jx���"C���50
����0f0�0&0
ݻ���牖�0�`�a|cJs�}NcI�K��}k�	�_�
:K��I���D�|t�@I����a�W���8��\_�
���@�p例 �yd�7F�1j��f��o�D���]�(��"q�'B�J���#� S�2�wTY1��,���������Sc�c^�Q8o�Df6��6NH�%ycCsf�GK�
��;zy�N���m&$ff_o�k���ߴ!���=�!��ef��	�:!�yAgx�Lh3���̸	�4H�À���LB� ǜ��>?k�Kʒ�"�eM%��U�я�Wv�Gl
]s�|��9�iٹ�p��[�, at 3����޲�t;�#���SPV�9)���t���K�����m/��
�f��Y�f螓j����y�R
N*�.���Ȑ܏�%�h٭R��s
fN
f�Y=�iIY��ۉ?B�R>���k��<���H	[U��:m�mgC
�0Ne��L���y����$עw�μ�N����<P�
�m
�:d���е6py��K;�f�q�\=��yҴ��\�ѶωM#r�t"(�Z5m,6qJ���g3�C��#�q" "��R�skp���vi(4�oQ�:�<���p��zlV ���2+�l �< ��
+��g��Y�M�_�\^��Iy5��
+W����
+�D�����;�}�?��}�9�����g��`�W�nB$h\��J�d��2a<
�������Q���z���aJ�<��0����U���Dtu
+t
�	�1$����P�ea�Aİ{��!z��G���̼�;�$��������U����
�d�i^���R�+4����Y��}>�
4��ln���.�,1D�cb�����w�� U��7"��s���uc��P���C�|�TR>;��H7Q�(�
PiV�m���
+��-�7��P*8]�C�h��y��S)�	��J�R1��z��Y���)tФ���"U��;�8%ۓ2��jآ���X��~��Xkۅ}����<��sӃ�J�B̥�L���uj+�Ⱥg~Q�B}���1U���>��3;�aE�W$)D}<�%uZ�"��
+~B��*	;�;���Y{������uʐ}��]IDž��EROW�ֵ(�A�buO�HE!т���^q��`1���`D(��~�Z��L\{8�*�R�0l�IZ�0��ehOna���zrWPe8��;h�ĵ���&� Nuve��o �ry�O�a�v�aD
i���?�~\ۋ�t�ju�a��Ur/�`
v.�f�΀�bg
N�9i��D��T
+��P�h�b<eϳ���`�u> n�V����a��_a��)0J������ַZ��t`�H�pi7����C���I]1�w��<~�
w�v�6vb� ǿ���
�B�~�?`�B�2�8���yN�0f
�s����
��$t��
�
d6ߘ�
m[t[���{�P��n0��ƅ3�
cr�߅�y�[kt�OX}���=��P�����Lx\��!�qxjs?
b.ǚ-������֬��y:�_�ڣp�9������b�
�{�㊽�oq�Z�ޏ���
~�(R]BgS��H����_��)c�endstream
+endobj
+2393 0 obj <<
+/Type /Page
+/Contents 2394 0 R
+/Resources 2392 0 R
+/MediaBox [0 0 612 792]
+/Parent 2386 0 R
+>> endobj
+2395 0 obj <<
+/D [2393 0 R /XYZ 72 720 null]
+>> endobj
+2396 0 obj <<
+/D [2393 0 R /XYZ 72 417.298 null]
+>> endobj
+2397 0 obj <<
+/D [2393 0 R /XYZ 72 422.279 null]
+>> endobj
+2392 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2400 0 obj <<
+/Length 2739      
+/Filter /FlateDecode
+>>
+stream
+xڽZKs���W�HU�X�vrIU�����
tIE9�"��^%�q���x0�C)*�#ݍ�����.>��+cr�qJ�.�g��
��J�o���?����W뇳_��˯�Uc�l�9aʄ�����z�	^
�8�a���8�/C��_kb
�-��0�Y��լ��l��|
tKx�n��3n��-��
�����F�2�p��T_�%�$F�4���^��+��+����+x���	^Kx=d��
+����i���M��uO�z���m��sX�2�DH���t(�
"}
�]���θ�ߞ`3�T�BMZ�"�BjF� ��:
L�@���Q��r�{�s���L6����f�ѿ��f�ۧ�!�����
ۤ�o�3�U5M
+�������XUz�z�>�;J	e��
QBLܭ����gTp��C�i_�\uH��B�H�a�A%ٯ6�ʉ�&%�.
5vz�dr'��������c@�(���f�z�¯�4Z€
@0�l!,#��>|Ƃ�#X�����~����&,���헸���y��V;�&ҥ�
�bQ���������ڇ�CO���4F������	U1�#�ə$B�0�R1��
���
�0xG�r���1%`�ERt�N�C`��øB�1����U^�+�g��7�q$�}:9N�:`rg5�0��1�`
����服�b�
^�&
�4_c	Q?�����L����r�������O�_����i���!R���{�I	��\uG>
�BU�Jx�f�=v��.
��x����_%7
�
��R��;�QL�Fv�7~D�Yxy�񀖈�)w
儞"�u�
+�O9�����u&�-k�젏�%
�	��b,�BT�C܍���"J�D������j�5�@P��E��j�?f�H d��lDv^B0ƒ�;�X�GP�F ;��x��9�lpc��L��N�iW�pbm�\��爛@}��
+E4�������C1�\�=;�yD�e	��!:0}�������!�ҳ�PK���^�}���4�
�Z�Y�@/�:�<
����>��]Ύ��P�ȲÓ[�#��p��ߏ#���ן�2�~���W@
�8�H���7�)�RF]�D?|R���G�wߌ��G�`xAc�Ӛ�-u��1�����ѡ
���Ipٜdo
��vf�@�+��}���QbjpN4�&Hlu�K�N�"ZQjȇ��a���f�c]�o�������-��JL.q�i��
�C	 *Q4b� ��ԙ�q�d���g
e�
,Gk66S ����>�X��b��c6VB��R
i!�0�Q
(B�:��_����%������!dSڲ��L�S9TfU����y at 9��9
)2�nֶ@��y�]-`!��	�T
_
+#6��=��&���$�M:�4����o� bygA
�>q� �v��T��o9�S��!|���J\?����FU�oYW����s�7�a� /�P�8�e
h63�����
��G�f�G��	M�+�<o��Zd
1�D˪:/垔 �"�@�E
�A������)$���O"l-Z�#\�N'j������+ Q=�bk
�H�kٛ�)�ko��v�p|r.�r�9K�
E^����4¨��bB�Վh�V�y�o�mHHDޕ��
+1����������X�+�*�|Ip�uƣ�4]ĢT/�J�{�Ծ�	0.=��8b������CiR�P��/o�9>^���MU��9�}�p:�
G�֐�i���?_�RQ0�vo�/NC�QUM84�eҌ�l�R�r�1LD�R���{����K��Ҳ�J�j�4�
���_�Jc����C�dKʽk�d��KfZ���
�';
ON4�D��{�F�of���q����?HH��U�Cj�n��K���}�[�^V�r�2���
7�Cc75,�f�]U��?<�/͵�_��U�K�,E��@�
�|E�C
0�@M53�J��2Œ{�Q�Se��������
`��6�7�M�OIO����ٮ�v65�%�J�7�;��yj�[�ߤ"�7�
Jѹ�O���!4;
�SZhmqkh������(�[WN��mxہ.��X_�H��";�(�"T��=|U���
+.��7
+�8<����������M���jxs
��;o?G,
��c,��&+ŰE�M���Is�C��/
+�#R�(3�[e �
�m��K�	�%k8�
�PUʺ�.Х��|g'!ZL��<A�����]�s�s
-�OYm!��:Q�BQ�
��H���ۮ�y�E^.|����ް�]}��%�S���i�B���t<���3	d"��K8
ϯ�� �t?)����;��ʭ�rUy�7�ye�A��G�`:�*�qe1
��<$��3���<�1a,�2���'�*��侻
�ҏP6zQ�X�R����H�k))V���
1��Is��Y���y�8��
ųP�tJ��u���G�w�w�*1Y{�jj�e�
�V�4������
+��AbQn�}�qK�'2�or�>�(&�Tr
LWXqjy ��u�ٛõ	���s�o
+g�ŏ�E]]�}��q0�#��XV5�$Bٺ@Xh�uE�7�
+P ��w"�\ [
����L.~`��{�6��?�|��i=ԉ��OpH!�1�ɭ�?;����f*D��5��;r�j��a����
+q|
ʘR�C.�
Bb/9�hǍK~yU#o��[��a�O����.)����v�î[��I0z�[J���B���V��=��{ln�������?'i6�endstream
+endobj
+2399 0 obj <<
+/Type /Page
+/Contents 2400 0 R
+/Resources 2398 0 R
+/MediaBox [0 0 612 792]
+/Parent 2386 0 R
+>> endobj
+2401 0 obj <<
+/D [2399 0 R /XYZ 72 720 null]
+>> endobj
+2402 0 obj <<
+/D [2399 0 R /XYZ 72 700.334 null]
+>> endobj
+2398 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F75 1442 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F69 550 0 R /F73 1467 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2405 0 obj <<
+/Length 2134      
+/Filter /FlateDecode
+>>
+stream
+x��Y�s�6�_��􁚉P @2s}H��M��.�δMh��u�%�(;u��ww��E�N����$�X,�㷻��'_���8�R�Ɯ�/NJuR��
��������v?7�;�e��4�����N�����z�j�#?�*%�)������mp
<�1�����j��l���
+t�K��-�t�3���R��;b�[OTE�4~!t�=nڵ�[:�

\�elw~�cI�?\�1.�=n�G
�z�w�w~M�AL�V���rGޢ�Pc�EaIc��~�k�&<}�X)ClPOʦ����k����E*;0
l�W��G �p�F���:u��rn�}���MN������
	�S�?U��
1#��r��4�������d��L%�;���g:gVl–��Z�I+HL
��6u�d������XA��V���RZv71&z�ʯ�Fv����H;ble+����{_ڈ\k����"&u9�YQ��K�L#-�]�}1��ԢԵg��o+[��^�>�
X�Iͽ�H�0�
�-�~�k��
�7�)��w8�n���H���2��
vn
``-�l�Z�����3Ϥ������q��bG�
�])��Z��%uU
��}���_�2`(�т�7�K?
�UY1uߍ�C��h��+e8������y���c�
i��L+�46�V�2����}NxT�Z
BV)dI�:z��	L���v��b�S�<�:kh� 
ҘB�a}PJ:����	G�r�Mr(D�'�P2� m��>!6��
+���x��sGs�8�h%"��|�i%�А jWƼS2�dQ�d)�s�yH&U
�#���VԒ�g��6d������nL�\J��E�
+�ΰͰ
IR%|S��E\�رJ%)C��!�L�
+�?�$�J�R��p��gP���~") #�DR��'�| � �'$
+X��c�ކP�ta	�.tz$^De�%�ԟ����S4�����F.MZ��#kk�YpBx�u���7�Vܦe-j��].�x��uHT� �Q�>�@����� ;�Q��M��
lpN��
:�}d�ag��CMe
[�$�Cg��
+����d�a�
+h�t��Ez�`�>r�j��}���ZȺfي�٭����-+��
���x�
=��r��i
�G

+f��
U�͢@4R�l@B�R��3�_�q u�u
��`�]����_Cb
K+t��[�B���DZ#|���Ҿ@�!��b`7𲠩A�I9��b��q�A���eN�+�Cv`m�C�XWB��jֹ������΋גx�C��qmn�{����
�;���H<sPr/�[#P��"��=+�*I���z޲8�a>҆W�.G�<+��`��+
nX?��+�nG��`�Y���^���V�Vm�W[�
�*$��X�bg�ܻ=;�n|
���5qÎL�0(��n�ҵ����e�_C4�U�%����uݡw~=e
��(��4%ڗrT��F
}8f-���Q�=#PUkbY��f�VΖ�>��d��S;7�C��ZH|vzvz��2�[�bE�v�p�thÑ��������7.A#�Y/L�-"��0��j��<9	�y��tg¹ſ���H]�r ����_�>�#�F �Y6��lr9U�'�����ȱ�'�~�\�~6h	��ہr�OݢW~ř��
�%s�~'�ё�o*7B�^�
�N��fb򬙽
׹����~s�FfW�r�On�;THn�S�[m��dU���T�&�w"�/ϳa��
KiP9H�S2̅�e��p)�*Ū�;�!ȾtU�tU��@�'��jm�9n
�q�0�*#�J.Hq�)^`|�B<w��B��}HU9�
t1D?��.t at t���^/� �l_��������u	�ԧ�!�
�>1������XTv> �5B�<J�H�]�&}��ؗ�I��{�t	����R>�=*��^��}�(
�8��Gqu����s���r1��+��7�E���ݹ�d�{�nV�ݲ���RB�E� [...]
+endobj
+2404 0 obj <<
+/Type /Page
+/Contents 2405 0 R
+/Resources 2403 0 R
+/MediaBox [0 0 612 792]
+/Parent 2386 0 R
+>> endobj
+2406 0 obj <<
+/D [2404 0 R /XYZ 72 720 null]
+>> endobj
+2407 0 obj <<
+/D [2404 0 R /XYZ 72 698.015 null]
+>> endobj
+2408 0 obj <<
+/D [2404 0 R /XYZ 72 361.595 null]
+>> endobj
+2403 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2411 0 obj <<
+/Length 2298      
+/Filter /FlateDecode
+>>
+stream
+xڵZ�s�~��“'��P�	&Mg��K�:���8���>�e�g[
Q:��L��.� HA�}3}���ŷ�����ū?|#�9��PҞ]��*uVN����ȩ�(�\z���*y�EU���@j�
]sћ����_Ng�ғo��fF����nW��?�������K�Ɋ
wa������=�����>x
� j��S�P��μ�g3�m����C
Y�'?���te'i��
�]64�7����A v4��_^�% �>���"3o�J������s8���H�h2��k��éM�N��v
+�'K��u�V��q�
8��5��w��?47�u��5���K�>M�E
�Q̶
6��a,�%���z��
j��Lh���TU`!���V�ͤƔ�]
�)&8�1���`ċ�5�d���mh�K�l��;�hGmO�::�Ǡ{�k1���C���v��
�~��"�f�%5�μ��x��p��ُdϜL١Y��
��~MC�
�L�s�u�%+���03��\��RgV�h�#�Bv�%���q/�~nyަ
o��4�=��
�}���=s�w_uZ��K�E�y����qy�
nbMF��L+�O=
��Ɓ���?��A��m/�6�㖀ۇ_:<�k0i��Y�Ӻ�
sX��(d����4�z�IH)%��p�3
��Jec������6J4ɮ�
+��U�$~
~�72���{�B>��74�2j��_�?_��~8J|O
+�1�0R��7�9� ��M�xr�-��GP�Q{j��YSq��LsΦ���^!������.6|<�^{t������f����?�
���u�~�!s(6����qr�"{*��Wn�)9�vI�s�2��6�K`�D�������wFB���8cᎇ�U�^��ց����O����HJ
(��5E�d���7y��=��r�"7��ӬE#
 ����%�Ң�A�%�,�RT�%�v���K�+9�X����()
L%�9��f{��(p2�WJ�����^�V�����
Q)v����*�8�Ӭ��}O�-�Vբ�
	o:��
�b��˙�J�+�燬F���*�[�!s�
���A�
%LQ�+�d�	����)r6|�����@h6ܓ�j8^6���Oa0�F���^qɯ¶�g7�g�֦3��|�+�2]��
�?UǾ`\.zi��[$�y�̤ʺĿ﹄�KRYak�s� Y�@�SϠ�d��H�X�
��U���<B�9�ϓ�
+����.�z�ʝ�K�:��6r��h��w�����alƊQUn at T�
�#����I(�ny�]��f®!�ɩ�}��m��n
�	�e�P��e�y�X��'-j]�0
H�eE�n�
.)�k����%�{�����'${�02A�V�/s,fVKa���d�4��o�&AV���&�}�H[�5��J��z�f
#
w	���ɕN�\�z����B}�;Y9�}��rݖ��Q9{��9���Ѕ�L�D:�Ԋ�E���F#(e�O�ê�q�
+�1NO;9���|^����<�Lfk@
\X� ��b���/F
�qI��q�T�f* ?N�����LG�	��� ���
�
6ļ��5�i�FQ��$[�%�ϫ}��J�#��
��'����	�
���f<�U�č���~��@���Ώ�
��_���;�.7L,
���r��;l|q4�6�QW\^�I>θ�~�� �	(d"��|�+rt/(<���m��u]����֧�|iDY����6C�+QV�K0E��0��k��Nj���gH��

������<Q�?̻�xsZ7�gA(H��cyi;�*iK��Q�|�$��BM�~�����Lq�m��n�מ����]`E���'������w
TQ��FrYWÚM��
�[���@����
b�
4 E�k�
Ǜ�3V<
�L��ѿ9�
l+g�.���}��0�b�q��u�0u-�E�oZ�㠣�
��:���+��:
�t5�3��RV�v�N��o�AFm]C61����S�t~�U`�� '�2��P�$�� ݩ
?;�5�,`�e�b���Q�kr ʲGm��䈷J`�6v]r���Ƕ�K���PO�X(L����ęJ�u�Lec��m=���t
�[r��]
h�Ⅎ^2�PHC��B@�0/�����cNl�A����^YC���k iHo?B>�mc��u�|��
>��a8����ٔ�=
��}�\
��YO�U�������>$����o�o��v������(�·����a��s3
����F��_1�α�"9Γ��]H��PZ�d>ۻ��©�_��x�?��endstream
+endobj
+2410 0 obj <<
+/Type /Page
+/Contents 2411 0 R
+/Resources 2409 0 R
+/MediaBox [0 0 612 792]
+/Parent 2386 0 R
+/Annots [ 2415 0 R 2416 0 R 2417 0 R 2418 0 R 2419 0 R 2420 0 R 2421 0 R 2422 0 R 2423 0 R ]
+>> endobj
+2415 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [292.875 424.791 326.752 438.625]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2416 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [333.215 424.791 358.592 438.625]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2417 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [455.338 316.494 501.9 330.329]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Andrews91) >>
+>> endobj
+2418 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [507.837 316.494 533.214 330.329]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Andrews91) >>
+>> endobj
+2419 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [449.991 300.36 540.996 312.903]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
+>> endobj
+2420 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [147.912 285.244 175.883 299.079]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
+>> endobj
+2421 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [182.33 285.244 207.707 299.079]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
+>> endobj
+2422 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [239.774 174.69 273.651 188.525]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2423 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [280.099 174.69 305.475 188.525]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2412 0 obj <<
+/D [2410 0 R /XYZ 72 720 null]
+>> endobj
+2413 0 obj <<
+/D [2410 0 R /XYZ 72 575.474 null]
+>> endobj
+2414 0 obj <<
+/D [2410 0 R /XYZ 72 493.409 null]
+>> endobj
+2424 0 obj <<
+/D [2410 0 R /XYZ 72 137.629 null]
+>> endobj
+2409 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2428 0 obj <<
+/Length 690       
+/Filter /FlateDecode
+>>
+stream
+xڽVKo�0
��W�6V+�l�1l;k��V,
+�;d���h�4�z�o%Ѷ�hNv�A�
�G�#)�f�
�x�2F2!���M��Д�Vţw[m}��`,`�`�u�!��t�.���`V��9����
�X�&�pJR
+
�@��{i� ���̨��0
Z��

��x��§@����
��Z����
��5�V��##��ø��
�,O����B�FPv����r��##�n*X���d�K�7�Q�	���d��*���
�z�=��$
+3���_
����M�i�/
���2щ���4U�5u��0�v�
�/*p���k��V�
j��-��'L����	�� \!O��5aLk�P�� %��17(jv�N"�U���E$�4�6j�����~5 3k���D�G���c��\�.�lX�s�hr�T��ҳC�^��
f�S�ԏ?�kj\q���;߆�iC�
@2���
�A� �%(s�_��{�c/��A�Z�,���|���h�
��xR�����c,��`�DY��Um�V��p�6*�|~�C��
+��ce��r�B�FDd������ee���+����0�M�[��R���_���h0�	�l���
ȹ
:
Шˀ��$��2����/
w��q�hs��F7�,r?��{ǽo�80�oN�y�,!<d���I�E������'Yendstream
+endobj
+2427 0 obj <<
+/Type /Page
+/Contents 2428 0 R
+/Resources 2426 0 R
+/MediaBox [0 0 612 792]
+/Parent 2430 0 R
+>> endobj
+2425 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/gamma-ExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2431 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2432 0 R /F2 2433 0 R /F3 2434 0 R >>
+/ExtGState <<
+>>>>
+/Length 2435 0 R
+>>
+stream
+q
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 329.24 m
+52.95 329.24 l
+53.65 329.24 l
+54.35 329.24 l
+55.04 329.25 l
+55.74 329.25 l
+56.44 329.25 l
+57.13 329.26 l
+57.83 329.26 l
+58.53 329.27 l
+59.22 329.27 l
+59.92 329.28 l
+60.62 329.29 l
+61.31 329.30 l
+62.01 329.31 l
+62.71 329.33 l
+63.40 329.35 l
+64.10 329.37 l
+64.80 329.39 l
+65.49 329.41 l
+66.19 329.44 l
+66.89 329.47 l
+67.58 329.51 l
+68.28 329.55 l
+68.98 329.59 l
+69.67 329.64 l
+70.37 329.70 l
+71.07 329.76 l
+71.76 329.82 l
+72.46 329.89 l
+73.16 329.97 l
+73.85 330.05 l
+74.55 330.14 l
+75.25 330.24 l
+75.94 330.34 l
+76.64 330.45 l
+77.34 330.57 l
+78.03 330.70 l
+78.73 330.83 l
+79.43 330.97 l
+80.12 331.12 l
+80.82 331.28 l
+81.52 331.44 l
+82.21 331.61 l
+82.91 331.79 l
+83.61 331.97 l
+84.30 332.17 l
+85.00 332.37 l
+85.70 332.57 l
+86.39 332.79 l
+87.09 333.01 l
+87.79 333.24 l
+88.48 333.47 l
+89.18 333.71 l
+89.88 333.96 l
+90.57 334.21 l
+91.27 334.47 l
+91.97 334.73 l
+92.66 335.00 l
+93.36 335.28 l
+94.06 335.56 l
+94.75 335.85 l
+95.45 336.14 l
+96.15 336.45 l
+96.84 336.76 l
+97.54 337.07 l
+98.24 337.40 l
+98.93 337.73 l
+99.63 338.07 l
+100.33 338.42 l
+101.02 338.78 l
+101.72 339.16 l
+102.42 339.54 l
+103.11 339.94 l
+103.81 340.35 l
+104.51 340.79 l
+105.20 341.24 l
+105.90 341.70 l
+106.60 342.19 l
+107.29 342.70 l
+107.99 343.23 l
+108.69 343.80 l
+109.38 344.38 l
+110.08 344.99 l
+110.78 345.63 l
+111.47 346.30 l
+112.17 347.01 l
+112.87 347.74 l
+113.56 348.50 l
+114.26 349.30 l
+114.96 350.12 l
+115.65 350.98 l
+116.35 351.87 l
+117.05 352.79 l
+117.74 353.74 l
+118.44 354.71 l
+119.14 355.70 l
+119.83 356.72 l
+120.53 357.77 l
+121.23 358.83 l
+121.92 359.90 l
+122.62 360.99 l
+123.32 362.09 l
+124.01 363.19 l
+124.71 364.31 l
+125.41 365.42 l
+126.10 366.54 l
+126.80 367.66 l
+127.50 368.77 l
+128.19 369.88 l
+128.89 370.98 l
+129.59 372.08 l
+130.28 373.17 l
+130.98 374.25 l
+131.68 375.31 l
+132.37 376.37 l
+133.07 377.42 l
+133.77 378.46 l
+134.46 379.49 l
+135.16 380.52 l
+135.86 381.53 l
+136.55 382.54 l
+137.25 383.54 l
+137.95 384.53 l
+138.64 385.52 l
+139.34 386.51 l
+140.04 387.49 l
+140.73 388.46 l
+141.43 389.43 l
+142.13 390.40 l
+142.82 391.36 l
+143.52 392.31 l
+144.22 393.25 l
+144.91 394.19 l
+145.61 395.11 l
+146.31 396.02 l
+147.00 396.92 l
+147.70 397.80 l
+148.40 398.66 l
+149.09 399.50 l
+149.79 400.32 l
+150.49 401.11 l
+151.18 401.88 l
+151.88 402.62 l
+152.58 403.32 l
+153.27 403.99 l
+153.97 404.63 l
+154.67 405.24 l
+155.36 405.81 l
+156.06 406.34 l
+156.76 406.83 l
+157.45 407.28 l
+158.15 407.70 l
+158.85 408.08 l
+159.54 408.42 l
+160.24 408.72 l
+160.94 408.98 l
+161.63 409.20 l
+162.33 409.39 l
+163.03 409.54 l
+163.72 409.65 l
+164.42 409.72 l
+165.12 409.76 l
+165.81 409.77 l
+166.51 409.75 l
+167.21 409.68 l
+167.90 409.59 l
+168.60 409.47 l
+169.30 409.32 l
+169.99 409.15 l
+170.69 408.96 l
+171.39 408.74 l
+172.08 408.50 l
+172.78 408.25 l
+173.48 407.99 l
+174.17 407.71 l
+174.87 407.43 l
+175.57 407.14 l
+176.26 406.84 l
+176.96 406.55 l
+177.66 406.25 l
+178.35 405.95 l
+179.05 405.65 l
+179.75 405.34 l
+180.44 405.04 l
+181.14 404.74 l
+181.84 404.43 l
+182.53 404.12 l
+183.23 403.80 l
+183.93 403.47 l
+184.62 403.13 l
+185.32 402.77 l
+186.02 402.39 l
+186.71 402.00 l
+187.41 401.58 l
+188.11 401.14 l
+188.80 400.67 l
+189.50 400.18 l
+190.20 399.66 l
+190.89 399.11 l
+191.59 398.53 l
+192.29 397.93 l
+192.98 397.31 l
+193.68 396.66 l
+194.38 396.00 l
+195.07 395.32 l
+195.77 394.62 l
+196.47 393.92 l
+197.16 393.21 l
+197.86 392.50 l
+198.56 391.79 l
+199.25 391.09 l
+199.95 390.40 l
+200.65 389.72 l
+201.34 389.05 l
+202.04 388.39 l
+202.74 387.75 l
+203.43 387.13 l
+204.13 386.53 l
+204.83 385.94 l
+205.52 385.37 l
+206.22 384.82 l
+206.92 384.27 l
+207.61 383.74 l
+208.31 383.22 l
+209.01 382.70 l
+209.70 382.19 l
+210.40 381.68 l
+211.10 381.16 l
+211.79 380.64 l
+212.49 380.12 l
+213.19 379.58 l
+213.88 379.04 l
+214.58 378.49 l
+215.28 377.92 l
+215.97 377.34 l
+216.67 376.76 l
+217.37 376.16 l
+218.06 375.54 l
+218.76 374.92 l
+219.46 374.29 l
+220.15 373.65 l
+220.85 373.01 l
+221.55 372.36 l
+222.24 371.71 l
+222.94 371.05 l
+223.64 370.39 l
+224.33 369.74 l
+225.03 369.08 l
+225.73 368.43 l
+226.42 367.78 l
+227.12 367.14 l
+227.82 366.49 l
+228.51 365.85 l
+229.21 365.22 l
+229.91 364.59 l
+230.60 363.97 l
+231.30 363.35 l
+232.00 362.73 l
+232.69 362.12 l
+233.39 361.52 l
+234.09 360.92 l
+234.78 360.33 l
+235.48 359.75 l
+236.18 359.17 l
+236.87 358.60 l
+237.57 358.03 l
+238.27 357.48 l
+238.96 356.93 l
+239.66 356.40 l
+240.36 355.87 l
+241.05 355.36 l
+241.75 354.85 l
+242.45 354.36 l
+243.14 353.87 l
+243.84 353.40 l
+244.54 352.94 l
+245.23 352.49 l
+245.93 352.05 l
+246.63 351.62 l
+247.32 351.20 l
+248.02 350.79 l
+248.72 350.39 l
+249.41 349.99 l
+250.11 349.60 l
+250.81 349.22 l
+251.50 348.85 l
+252.20 348.48 l
+252.90 348.11 l
+253.59 347.75 l
+254.29 347.39 l
+254.99 347.04 l
+255.68 346.68 l
+256.38 346.33 l
+257.08 345.99 l
+257.77 345.64 l
+258.47 345.29 l
+259.17 344.95 l
+259.86 344.61 l
+260.56 344.27 l
+261.26 343.93 l
+261.95 343.59 l
+262.65 343.25 l
+263.35 342.92 l
+264.04 342.59 l
+264.74 342.26 l
+265.44 341.93 l
+266.13 341.60 l
+266.83 341.28 l
+267.53 340.97 l
+268.22 340.65 l
+268.92 340.34 l
+269.62 340.04 l
+270.31 339.73 l
+271.01 339.44 l
+271.71 339.14 l
+272.40 338.86 l
+273.10 338.57 l
+273.80 338.29 l
+274.49 338.02 l
+275.19 337.75 l
+275.89 337.48 l
+276.58 337.22 l
+277.28 336.97 l
+277.98 336.72 l
+278.67 336.48 l
+279.37 336.24 l
+280.07 336.01 l
+280.76 335.79 l
+281.46 335.57 l
+282.16 335.36 l
+282.85 335.16 l
+283.55 334.97 l
+284.25 334.79 l
+284.94 334.62 l
+285.64 334.45 l
+286.34 334.30 l
+287.03 334.16 l
+287.73 334.03 l
+288.43 333.91 l
+289.12 333.80 l
+289.82 333.70 l
+290.52 333.61 l
+291.21 333.53 l
+291.91 333.46 l
+292.61 333.41 l
+293.30 333.36 l
+294.00 333.31 l
+294.70 333.28 l
+295.39 333.26 l
+296.09 333.24 l
+296.79 333.22 l
+297.48 333.21 l
+298.18 333.20 l
+298.88 333.20 l
+299.57 333.20 l
+300.27 333.19 l
+300.97 333.19 l
+301.67 333.19 l
+302.36 333.18 l
+303.06 333.17 l
+303.76 333.16 l
+304.45 333.14 l
+305.15 333.12 l
+305.85 333.10 l
+306.54 333.06 l
+307.24 333.03 l
+307.94 332.98 l
+308.63 332.93 l
+309.33 332.88 l
+310.03 332.82 l
+310.72 332.75 l
+311.42 332.67 l
+312.12 332.60 l
+312.81 332.51 l
+313.51 332.43 l
+314.21 332.34 l
+314.90 332.24 l
+315.60 332.14 l
+316.30 332.04 l
+316.99 331.94 l
+317.69 331.84 l
+318.39 331.74 l
+319.08 331.63 l
+319.78 331.53 l
+320.48 331.42 l
+321.17 331.32 l
+321.87 331.22 l
+322.57 331.11 l
+323.26 331.01 l
+323.96 330.91 l
+324.66 330.82 l
+325.35 330.72 l
+326.05 330.63 l
+326.75 330.54 l
+327.44 330.45 l
+328.14 330.37 l
+328.84 330.28 l
+329.53 330.20 l
+330.23 330.13 l
+330.93 330.06 l
+331.62 329.99 l
+332.32 329.92 l
+333.02 329.86 l
+333.71 329.80 l
+334.41 329.75 l
+335.11 329.70 l
+335.80 329.65 l
+336.50 329.60 l
+337.20 329.56 l
+337.89 329.53 l
+338.59 329.50 l
+339.29 329.47 l
+339.98 329.44 l
+340.68 329.42 l
+341.38 329.40 l
+342.07 329.38 l
+342.77 329.37 l
+343.47 329.36 l
+344.16 329.35 l
+344.86 329.34 l
+345.56 329.34 l
+346.25 329.34 l
+346.95 329.34 l
+347.65 329.34 l
+348.34 329.35 l
+349.04 329.35 l
+349.74 329.36 l
+350.43 329.37 l
+351.13 329.38 l
+351.83 329.40 l
+352.52 329.41 l
+353.22 329.42 l
+353.92 329.44 l
+354.61 329.46 l
+355.31 329.47 l
+356.01 329.49 l
+356.70 329.51 l
+357.40 329.53 l
+358.10 329.54 l
+358.79 329.56 l
+359.49 329.58 l
+360.19 329.59 l
+360.88 329.61 l
+361.58 329.62 l
+362.28 329.64 l
+362.97 329.65 l
+363.67 329.66 l
+364.37 329.67 l
+365.06 329.69 l
+365.76 329.69 l
+366.46 329.70 l
+367.15 329.71 l
+367.85 329.72 l
+368.55 329.72 l
+369.24 329.72 l
+369.94 329.73 l
+370.64 329.73 l
+371.33 329.73 l
+372.03 329.73 l
+372.73 329.73 l
+373.42 329.73 l
+374.12 329.73 l
+374.82 329.72 l
+375.51 329.72 l
+376.21 329.71 l
+376.91 329.71 l
+377.60 329.70 l
+378.30 329.69 l
+379.00 329.68 l
+379.69 329.67 l
+380.39 329.66 l
+381.09 329.65 l
+381.78 329.64 l
+382.48 329.62 l
+383.18 329.61 l
+383.87 329.59 l
+384.57 329.58 l
+385.27 329.56 l
+385.96 329.54 l
+386.66 329.52 l
+387.36 329.50 l
+388.05 329.49 l
+388.75 329.47 l
+389.45 329.45 l
+390.14 329.43 l
+390.84 329.42 l
+391.54 329.40 l
+392.23 329.39 l
+392.93 329.37 l
+393.63 329.36 l
+394.32 329.34 l
+395.02 329.33 l
+395.72 329.32 l
+396.41 329.31 l
+397.11 329.30 l
+397.81 329.29 l
+398.50 329.28 l
+399.20 329.28 l
+399.90 329.27 l
+400.59 329.27 l
+401.29 329.26 l
+401.99 329.26 l
+402.68 329.25 l
+403.38 329.25 l
+404.08 329.25 l
+404.77 329.24 l
+405.47 329.24 l
+406.17 329.24 l
+406.86 329.24 l
+407.56 329.24 l
+408.26 329.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+73.16 326.02 m 416.48 326.02 l S
+73.16 326.02 m 73.16 323.64 l S
+141.83 326.02 m 141.83 323.64 l S
+210.49 326.02 m 210.49 323.64 l S
+279.15 326.02 m 279.15 323.64 l S
+347.81 326.02 m 347.81 323.64 l S
+416.48 326.02 m 416.48 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 70.94 312.71 Tm (8) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 137.38 312.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 206.04 312.71 Tm (12) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 274.70 312.71 Tm (14) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 343.37 312.71 Tm (16) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 412.03 312.71 Tm (18) Tj
+ET
+38.02 329.23 m 38.02 401.63 l S
+38.02 329.23 m 35.64 329.23 l S
+38.02 341.30 m 35.64 341.30 l S
+38.02 353.36 m 35.64 353.36 l S
+38.02 365.43 m 35.64 365.43 l S
+38.02 377.50 m 35.64 377.50 l S
+38.02 389.56 m 35.64 389.56 l S
+38.02 401.63 m 35.64 401.63 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 321.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 345.58 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 369.71 Tm (0.20) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 393.84 Tm (0.30) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 418.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 356.17 Tm (Density) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.23 m 422.50 329.23 l S
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 185.24 m
+52.95 185.24 l
+53.65 185.24 l
+54.35 185.25 l
+55.04 185.25 l
+55.74 185.25 l
+56.44 185.26 l
+57.13 185.26 l
+57.83 185.27 l
+58.53 185.27 l
+59.22 185.28 l
+59.92 185.29 l
+60.62 185.30 l
+61.31 185.31 l
+62.01 185.32 l
+62.71 185.34 l
+63.40 185.35 l
+64.10 185.37 l
+64.80 185.39 l
+65.49 185.41 l
+66.19 185.44 l
+66.89 185.46 l
+67.58 185.49 l
+68.28 185.53 l
+68.98 185.56 l
+69.67 185.60 l
+70.37 185.64 l
+71.07 185.69 l
+71.76 185.74 l
+72.46 185.79 l
+73.16 185.85 l
+73.85 185.91 l
+74.55 185.97 l
+75.25 186.04 l
+75.94 186.11 l
+76.64 186.19 l
+77.34 186.27 l
+78.03 186.36 l
+78.73 186.45 l
+79.43 186.55 l
+80.12 186.65 l
+80.82 186.76 l
+81.52 186.88 l
+82.21 187.00 l
+82.91 187.13 l
+83.61 187.27 l
+84.30 187.41 l
+85.00 187.57 l
+85.70 187.73 l
+86.39 187.91 l
+87.09 188.10 l
+87.79 188.30 l
+88.48 188.51 l
+89.18 188.74 l
+89.88 188.98 l
+90.57 189.24 l
+91.27 189.52 l
+91.97 189.81 l
+92.66 190.12 l
+93.36 190.45 l
+94.06 190.80 l
+94.75 191.16 l
+95.45 191.55 l
+96.15 191.96 l
+96.84 192.38 l
+97.54 192.83 l
+98.24 193.30 l
+98.93 193.78 l
+99.63 194.28 l
+100.33 194.80 l
+101.02 195.34 l
+101.72 195.89 l
+102.42 196.46 l
+103.11 197.03 l
+103.81 197.62 l
+104.51 198.22 l
+105.20 198.84 l
+105.90 199.45 l
+106.60 200.08 l
+107.29 200.71 l
+107.99 201.34 l
+108.69 201.98 l
+109.38 202.63 l
+110.08 203.27 l
+110.78 203.92 l
+111.47 204.56 l
+112.17 205.21 l
+112.87 205.87 l
+113.56 206.52 l
+114.26 207.18 l
+114.96 207.84 l
+115.65 208.50 l
+116.35 209.17 l
+117.05 209.85 l
+117.74 210.54 l
+118.44 211.23 l
+119.14 211.94 l
+119.83 212.66 l
+120.53 213.40 l
+121.23 214.15 l
+121.92 214.91 l
+122.62 215.69 l
+123.32 216.50 l
+124.01 217.32 l
+124.71 218.16 l
+125.41 219.02 l
+126.10 219.90 l
+126.80 220.81 l
+127.50 221.73 l
+128.19 222.67 l
+128.89 223.62 l
+129.59 224.59 l
+130.28 225.58 l
+130.98 226.58 l
+131.68 227.59 l
+132.37 228.61 l
+133.07 229.63 l
+133.77 230.66 l
+134.46 231.69 l
+135.16 232.72 l
+135.86 233.74 l
+136.55 234.76 l
+137.25 235.78 l
+137.95 236.78 l
+138.64 237.77 l
+139.34 238.75 l
+140.04 239.72 l
+140.73 240.67 l
+141.43 241.61 l
+142.13 242.53 l
+142.82 243.43 l
+143.52 244.32 l
+144.22 245.19 l
+144.91 246.04 l
+145.61 246.88 l
+146.31 247.69 l
+147.00 248.50 l
+147.70 249.28 l
+148.40 250.05 l
+149.09 250.81 l
+149.79 251.55 l
+150.49 252.28 l
+151.18 252.99 l
+151.88 253.69 l
+152.58 254.38 l
+153.27 255.05 l
+153.97 255.71 l
+154.67 256.35 l
+155.36 256.98 l
+156.06 257.59 l
+156.76 258.19 l
+157.45 258.77 l
+158.15 259.33 l
+158.85 259.87 l
+159.54 260.40 l
+160.24 260.90 l
+160.94 261.39 l
+161.63 261.85 l
+162.33 262.29 l
+163.03 262.70 l
+163.72 263.09 l
+164.42 263.45 l
+165.12 263.80 l
+165.81 264.11 l
+166.51 264.39 l
+167.21 264.65 l
+167.90 264.89 l
+168.60 265.10 l
+169.30 265.27 l
+169.99 265.42 l
+170.69 265.55 l
+171.39 265.64 l
+172.08 265.71 l
+172.78 265.76 l
+173.48 265.77 l
+174.17 265.76 l
+174.87 265.72 l
+175.57 265.66 l
+176.26 265.58 l
+176.96 265.46 l
+177.66 265.32 l
+178.35 265.16 l
+179.05 264.97 l
+179.75 264.77 l
+180.44 264.53 l
+181.14 264.28 l
+181.84 264.00 l
+182.53 263.71 l
+183.23 263.40 l
+183.93 263.07 l
+184.62 262.72 l
+185.32 262.36 l
+186.02 261.98 l
+186.71 261.59 l
+187.41 261.19 l
+188.11 260.78 l
+188.80 260.36 l
+189.50 259.94 l
+190.20 259.51 l
+190.89 259.07 l
+191.59 258.63 l
+192.29 258.18 l
+192.98 257.74 l
+193.68 257.29 l
+194.38 256.84 l
+195.07 256.39 l
+195.77 255.93 l
+196.47 255.48 l
+197.16 255.02 l
+197.86 254.56 l
+198.56 254.10 l
+199.25 253.63 l
+199.95 253.16 l
+200.65 252.68 l
+201.34 252.20 l
+202.04 251.71 l
+202.74 251.21 l
+203.43 250.69 l
+204.13 250.17 l
+204.83 249.64 l
+205.52 249.09 l
+206.22 248.53 l
+206.92 247.96 l
+207.61 247.38 l
+208.31 246.79 l
+209.01 246.18 l
+209.70 245.56 l
+210.40 244.93 l
+211.10 244.29 l
+211.79 243.64 l
+212.49 242.99 l
+213.19 242.33 l
+213.88 241.66 l
+214.58 240.99 l
+215.28 240.32 l
+215.97 239.65 l
+216.67 238.98 l
+217.37 238.32 l
+218.06 237.66 l
+218.76 237.00 l
+219.46 236.35 l
+220.15 235.71 l
+220.85 235.08 l
+221.55 234.46 l
+222.24 233.84 l
+222.94 233.24 l
+223.64 232.65 l
+224.33 232.07 l
+225.03 231.50 l
+225.73 230.94 l
+226.42 230.40 l
+227.12 229.86 l
+227.82 229.34 l
+228.51 228.83 l
+229.21 228.33 l
+229.91 227.84 l
+230.60 227.36 l
+231.30 226.89 l
+232.00 226.44 l
+232.69 225.99 l
+233.39 225.55 l
+234.09 225.13 l
+234.78 224.71 l
+235.48 224.31 l
+236.18 223.91 l
+236.87 223.52 l
+237.57 223.14 l
+238.27 222.76 l
+238.96 222.40 l
+239.66 222.04 l
+240.36 221.68 l
+241.05 221.33 l
+241.75 220.99 l
+242.45 220.65 l
+243.14 220.31 l
+243.84 219.98 l
+244.54 219.64 l
+245.23 219.31 l
+245.93 218.97 l
+246.63 218.64 l
+247.32 218.30 l
+248.02 217.96 l
+248.72 217.63 l
+249.41 217.28 l
+250.11 216.94 l
+250.81 216.59 l
+251.50 216.25 l
+252.20 215.90 l
+252.90 215.54 l
+253.59 215.19 l
+254.29 214.84 l
+254.99 214.48 l
+255.68 214.13 l
+256.38 213.78 l
+257.08 213.42 l
+257.77 213.07 l
+258.47 212.72 l
+259.17 212.38 l
+259.86 212.03 l
+260.56 211.69 l
+261.26 211.36 l
+261.95 211.02 l
+262.65 210.69 l
+263.35 210.36 l
+264.04 210.04 l
+264.74 209.71 l
+265.44 209.39 l
+266.13 209.07 l
+266.83 208.75 l
+267.53 208.42 l
+268.22 208.10 l
+268.92 207.77 l
+269.62 207.44 l
+270.31 207.11 l
+271.01 206.77 l
+271.71 206.43 l
+272.40 206.08 l
+273.10 205.73 l
+273.80 205.37 l
+274.49 205.00 l
+275.19 204.62 l
+275.89 204.24 l
+276.58 203.85 l
+277.28 203.46 l
+277.98 203.06 l
+278.67 202.66 l
+279.37 202.25 l
+280.07 201.84 l
+280.76 201.42 l
+281.46 201.01 l
+282.16 200.59 l
+282.85 200.17 l
+283.55 199.76 l
+284.25 199.35 l
+284.94 198.94 l
+285.64 198.54 l
+286.34 198.14 l
+287.03 197.75 l
+287.73 197.37 l
+288.43 197.00 l
+289.12 196.63 l
+289.82 196.28 l
+290.52 195.94 l
+291.21 195.60 l
+291.91 195.28 l
+292.61 194.97 l
+293.30 194.68 l
+294.00 194.39 l
+294.70 194.11 l
+295.39 193.85 l
+296.09 193.60 l
+296.79 193.36 l
+297.48 193.12 l
+298.18 192.90 l
+298.88 192.69 l
+299.57 192.49 l
+300.27 192.30 l
+300.97 192.11 l
+301.67 191.93 l
+302.36 191.76 l
+303.06 191.60 l
+303.76 191.45 l
+304.45 191.30 l
+305.15 191.16 l
+305.85 191.02 l
+306.54 190.90 l
+307.24 190.77 l
+307.94 190.65 l
+308.63 190.54 l
+309.33 190.43 l
+310.03 190.33 l
+310.72 190.23 l
+311.42 190.13 l
+312.12 190.04 l
+312.81 189.95 l
+313.51 189.87 l
+314.21 189.79 l
+314.90 189.71 l
+315.60 189.64 l
+316.30 189.57 l
+316.99 189.50 l
+317.69 189.43 l
+318.39 189.37 l
+319.08 189.30 l
+319.78 189.24 l
+320.48 189.18 l
+321.17 189.11 l
+321.87 189.05 l
+322.57 188.99 l
+323.26 188.92 l
+323.96 188.86 l
+324.66 188.79 l
+325.35 188.72 l
+326.05 188.65 l
+326.75 188.57 l
+327.44 188.50 l
+328.14 188.42 l
+328.84 188.34 l
+329.53 188.26 l
+330.23 188.17 l
+330.93 188.08 l
+331.62 188.00 l
+332.32 187.91 l
+333.02 187.82 l
+333.71 187.73 l
+334.41 187.63 l
+335.11 187.54 l
+335.80 187.45 l
+336.50 187.36 l
+337.20 187.28 l
+337.89 187.19 l
+338.59 187.10 l
+339.29 187.02 l
+339.98 186.94 l
+340.68 186.87 l
+341.38 186.79 l
+342.07 186.72 l
+342.77 186.65 l
+343.47 186.59 l
+344.16 186.53 l
+344.86 186.47 l
+345.56 186.42 l
+346.25 186.37 l
+346.95 186.32 l
+347.65 186.28 l
+348.34 186.24 l
+349.04 186.20 l
+349.74 186.16 l
+350.43 186.13 l
+351.13 186.10 l
+351.83 186.07 l
+352.52 186.04 l
+353.22 186.02 l
+353.92 185.99 l
+354.61 185.97 l
+355.31 185.95 l
+356.01 185.93 l
+356.70 185.91 l
+357.40 185.89 l
+358.10 185.87 l
+358.79 185.86 l
+359.49 185.84 l
+360.19 185.83 l
+360.88 185.82 l
+361.58 185.80 l
+362.28 185.79 l
+362.97 185.78 l
+363.67 185.77 l
+364.37 185.76 l
+365.06 185.75 l
+365.76 185.74 l
+366.46 185.74 l
+367.15 185.73 l
+367.85 185.72 l
+368.55 185.72 l
+369.24 185.71 l
+369.94 185.70 l
+370.64 185.70 l
+371.33 185.69 l
+372.03 185.69 l
+372.73 185.68 l
+373.42 185.67 l
+374.12 185.67 l
+374.82 185.66 l
+375.51 185.65 l
+376.21 185.65 l
+376.91 185.64 l
+377.60 185.63 l
+378.30 185.62 l
+379.00 185.61 l
+379.69 185.59 l
+380.39 185.58 l
+381.09 185.57 l
+381.78 185.56 l
+382.48 185.54 l
+383.18 185.53 l
+383.87 185.51 l
+384.57 185.50 l
+385.27 185.48 l
+385.96 185.47 l
+386.66 185.45 l
+387.36 185.44 l
+388.05 185.43 l
+388.75 185.41 l
+389.45 185.40 l
+390.14 185.38 l
+390.84 185.37 l
+391.54 185.36 l
+392.23 185.35 l
+392.93 185.34 l
+393.63 185.33 l
+394.32 185.32 l
+395.02 185.31 l
+395.72 185.30 l
+396.41 185.29 l
+397.11 185.29 l
+397.81 185.28 l
+398.50 185.27 l
+399.20 185.27 l
+399.90 185.26 l
+400.59 185.26 l
+401.29 185.26 l
+401.99 185.25 l
+402.68 185.25 l
+403.38 185.25 l
+404.08 185.25 l
+404.77 185.24 l
+405.47 185.24 l
+406.17 185.24 l
+406.86 185.24 l
+407.56 185.24 l
+408.26 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+98.04 182.02 m 398.14 182.02 l S
+98.04 182.02 m 98.04 179.64 l S
+173.06 182.02 m 173.06 179.64 l S
+248.09 182.02 m 248.09 179.64 l S
+323.12 182.02 m 323.12 179.64 l S
+398.14 182.02 m 398.14 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 95.81 168.71 Tm (5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 168.62 168.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 243.64 168.71 Tm (15) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 318.67 168.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 393.69 168.71 Tm (25) Tj
+ET
+38.02 185.23 m 38.02 258.76 l S
+38.02 185.23 m 35.64 185.23 l S
+38.02 197.49 m 35.64 197.49 l S
+38.02 209.74 m 35.64 209.74 l S
+38.02 222.00 m 35.64 222.00 l S
+38.02 234.25 m 35.64 234.25 l S
+38.02 246.50 m 35.64 246.50 l S
+38.02 258.76 m 35.64 258.76 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 177.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 201.96 Tm (0.04) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 226.47 Tm (0.08) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 250.97 Tm (0.12) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 274.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.23 m 422.50 185.23 l S
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 41.24 m
+52.95 41.24 l
+53.65 41.24 l
+54.35 41.24 l
+55.04 41.24 l
+55.74 41.25 l
+56.44 41.25 l
+57.13 41.25 l
+57.83 41.25 l
+58.53 41.26 l
+59.22 41.26 l
+59.92 41.27 l
+60.62 41.27 l
+61.31 41.28 l
+62.01 41.29 l
+62.71 41.30 l
+63.40 41.31 l
+64.10 41.32 l
+64.80 41.33 l
+65.49 41.35 l
+66.19 41.36 l
+66.89 41.38 l
+67.58 41.40 l
+68.28 41.42 l
+68.98 41.44 l
+69.67 41.47 l
+70.37 41.50 l
+71.07 41.53 l
+71.76 41.56 l
+72.46 41.59 l
+73.16 41.63 l
+73.85 41.67 l
+74.55 41.71 l
+75.25 41.75 l
+75.94 41.79 l
+76.64 41.84 l
+77.34 41.89 l
+78.03 41.94 l
+78.73 42.00 l
+79.43 42.05 l
+80.12 42.11 l
+80.82 42.16 l
+81.52 42.22 l
+82.21 42.28 l
+82.91 42.34 l
+83.61 42.40 l
+84.30 42.46 l
+85.00 42.51 l
+85.70 42.57 l
+86.39 42.63 l
+87.09 42.68 l
+87.79 42.73 l
+88.48 42.78 l
+89.18 42.83 l
+89.88 42.88 l
+90.57 42.92 l
+91.27 42.96 l
+91.97 43.00 l
+92.66 43.03 l
+93.36 43.07 l
+94.06 43.10 l
+94.75 43.13 l
+95.45 43.15 l
+96.15 43.17 l
+96.84 43.20 l
+97.54 43.22 l
+98.24 43.24 l
+98.93 43.26 l
+99.63 43.28 l
+100.33 43.30 l
+101.02 43.32 l
+101.72 43.34 l
+102.42 43.36 l
+103.11 43.39 l
+103.81 43.42 l
+104.51 43.45 l
+105.20 43.48 l
+105.90 43.51 l
+106.60 43.55 l
+107.29 43.59 l
+107.99 43.64 l
+108.69 43.68 l
+109.38 43.73 l
+110.08 43.78 l
+110.78 43.84 l
+111.47 43.89 l
+112.17 43.95 l
+112.87 44.01 l
+113.56 44.07 l
+114.26 44.13 l
+114.96 44.19 l
+115.65 44.26 l
+116.35 44.32 l
+117.05 44.39 l
+117.74 44.46 l
+118.44 44.53 l
+119.14 44.60 l
+119.83 44.68 l
+120.53 44.76 l
+121.23 44.85 l
+121.92 44.94 l
+122.62 45.04 l
+123.32 45.14 l
+124.01 45.25 l
+124.71 45.37 l
+125.41 45.51 l
+126.10 45.65 l
+126.80 45.80 l
+127.50 45.97 l
+128.19 46.14 l
+128.89 46.34 l
+129.59 46.54 l
+130.28 46.76 l
+130.98 46.99 l
+131.68 47.24 l
+132.37 47.50 l
+133.07 47.77 l
+133.77 48.06 l
+134.46 48.36 l
+135.16 48.68 l
+135.86 49.00 l
+136.55 49.33 l
+137.25 49.68 l
+137.95 50.03 l
+138.64 50.38 l
+139.34 50.75 l
+140.04 51.11 l
+140.73 51.48 l
+141.43 51.86 l
+142.13 52.23 l
+142.82 52.60 l
+143.52 52.98 l
+144.22 53.35 l
+144.91 53.71 l
+145.61 54.08 l
+146.31 54.44 l
+147.00 54.79 l
+147.70 55.14 l
+148.40 55.49 l
+149.09 55.83 l
+149.79 56.17 l
+150.49 56.50 l
+151.18 56.83 l
+151.88 57.15 l
+152.58 57.47 l
+153.27 57.79 l
+153.97 58.11 l
+154.67 58.43 l
+155.36 58.75 l
+156.06 59.07 l
+156.76 59.40 l
+157.45 59.73 l
+158.15 60.07 l
+158.85 60.41 l
+159.54 60.76 l
+160.24 61.12 l
+160.94 61.49 l
+161.63 61.87 l
+162.33 62.27 l
+163.03 62.67 l
+163.72 63.09 l
+164.42 63.52 l
+165.12 63.97 l
+165.81 64.43 l
+166.51 64.90 l
+167.21 65.39 l
+167.90 65.89 l
+168.60 66.40 l
+169.30 66.93 l
+169.99 67.47 l
+170.69 68.02 l
+171.39 68.59 l
+172.08 69.16 l
+172.78 69.75 l
+173.48 70.34 l
+174.17 70.93 l
+174.87 71.54 l
+175.57 72.15 l
+176.26 72.77 l
+176.96 73.39 l
+177.66 74.01 l
+178.35 74.64 l
+179.05 75.27 l
+179.75 75.90 l
+180.44 76.54 l
+181.14 77.17 l
+181.84 77.81 l
+182.53 78.45 l
+183.23 79.09 l
+183.93 79.74 l
+184.62 80.38 l
+185.32 81.03 l
+186.02 81.69 l
+186.71 82.35 l
+187.41 83.01 l
+188.11 83.68 l
+188.80 84.36 l
+189.50 85.04 l
+190.20 85.73 l
+190.89 86.43 l
+191.59 87.14 l
+192.29 87.85 l
+192.98 88.58 l
+193.68 89.32 l
+194.38 90.07 l
+195.07 90.83 l
+195.77 91.60 l
+196.47 92.39 l
+197.16 93.19 l
+197.86 94.00 l
+198.56 94.83 l
+199.25 95.67 l
+199.95 96.52 l
+200.65 97.38 l
+201.34 98.26 l
+202.04 99.15 l
+202.74 100.05 l
+203.43 100.96 l
+204.13 101.87 l
+204.83 102.79 l
+205.52 103.72 l
+206.22 104.64 l
+206.92 105.56 l
+207.61 106.49 l
+208.31 107.40 l
+209.01 108.30 l
+209.70 109.19 l
+210.40 110.06 l
+211.10 110.91 l
+211.79 111.75 l
+212.49 112.55 l
+213.19 113.32 l
+213.88 114.06 l
+214.58 114.77 l
+215.28 115.44 l
+215.97 116.07 l
+216.67 116.66 l
+217.37 117.21 l
+218.06 117.72 l
+218.76 118.19 l
+219.46 118.61 l
+220.15 118.99 l
+220.85 119.33 l
+221.55 119.63 l
+222.24 119.90 l
+222.94 120.13 l
+223.64 120.32 l
+224.33 120.49 l
+225.03 120.62 l
+225.73 120.74 l
+226.42 120.83 l
+227.12 120.90 l
+227.82 120.95 l
+228.51 120.99 l
+229.21 121.02 l
+229.91 121.05 l
+230.60 121.06 l
+231.30 121.08 l
+232.00 121.09 l
+232.69 121.11 l
+233.39 121.12 l
+234.09 121.14 l
+234.78 121.17 l
+235.48 121.19 l
+236.18 121.23 l
+236.87 121.26 l
+237.57 121.30 l
+238.27 121.34 l
+238.96 121.39 l
+239.66 121.44 l
+240.36 121.49 l
+241.05 121.53 l
+241.75 121.58 l
+242.45 121.62 l
+243.14 121.66 l
+243.84 121.70 l
+244.54 121.73 l
+245.23 121.75 l
+245.93 121.77 l
+246.63 121.77 l
+247.32 121.77 l
+248.02 121.76 l
+248.72 121.74 l
+249.41 121.70 l
+250.11 121.66 l
+250.81 121.61 l
+251.50 121.55 l
+252.20 121.48 l
+252.90 121.39 l
+253.59 121.30 l
+254.29 121.20 l
+254.99 121.09 l
+255.68 120.97 l
+256.38 120.85 l
+257.08 120.71 l
+257.77 120.56 l
+258.47 120.40 l
+259.17 120.23 l
+259.86 120.05 l
+260.56 119.86 l
+261.26 119.65 l
+261.95 119.43 l
+262.65 119.19 l
+263.35 118.94 l
+264.04 118.67 l
+264.74 118.38 l
+265.44 118.07 l
+266.13 117.74 l
+266.83 117.38 l
+267.53 117.00 l
+268.22 116.59 l
+268.92 116.16 l
+269.62 115.69 l
+270.31 115.21 l
+271.01 114.69 l
+271.71 114.13 l
+272.40 113.55 l
+273.10 112.94 l
+273.80 112.30 l
+274.49 111.63 l
+275.19 110.92 l
+275.89 110.19 l
+276.58 109.43 l
+277.28 108.64 l
+277.98 107.83 l
+278.67 106.99 l
+279.37 106.12 l
+280.07 105.23 l
+280.76 104.32 l
+281.46 103.39 l
+282.16 102.45 l
+282.85 101.49 l
+283.55 100.51 l
+284.25 99.52 l
+284.94 98.53 l
+285.64 97.52 l
+286.34 96.50 l
+287.03 95.48 l
+287.73 94.46 l
+288.43 93.44 l
+289.12 92.41 l
+289.82 91.39 l
+290.52 90.37 l
+291.21 89.35 l
+291.91 88.34 l
+292.61 87.33 l
+293.30 86.33 l
+294.00 85.34 l
+294.70 84.36 l
+295.39 83.40 l
+296.09 82.44 l
+296.79 81.50 l
+297.48 80.58 l
+298.18 79.67 l
+298.88 78.78 l
+299.57 77.91 l
+300.27 77.06 l
+300.97 76.23 l
+301.67 75.42 l
+302.36 74.64 l
+303.06 73.87 l
+303.76 73.13 l
+304.45 72.42 l
+305.15 71.73 l
+305.85 71.07 l
+306.54 70.43 l
+307.24 69.81 l
+307.94 69.22 l
+308.63 68.65 l
+309.33 68.11 l
+310.03 67.58 l
+310.72 67.07 l
+311.42 66.57 l
+312.12 66.10 l
+312.81 65.64 l
+313.51 65.19 l
+314.21 64.74 l
+314.90 64.31 l
+315.60 63.88 l
+316.30 63.46 l
+316.99 63.04 l
+317.69 62.62 l
+318.39 62.21 l
+319.08 61.79 l
+319.78 61.37 l
+320.48 60.94 l
+321.17 60.51 l
+321.87 60.08 l
+322.57 59.65 l
+323.26 59.21 l
+323.96 58.77 l
+324.66 58.33 l
+325.35 57.88 l
+326.05 57.44 l
+326.75 56.99 l
+327.44 56.55 l
+328.14 56.11 l
+328.84 55.67 l
+329.53 55.23 l
+330.23 54.81 l
+330.93 54.39 l
+331.62 53.98 l
+332.32 53.57 l
+333.02 53.18 l
+333.71 52.80 l
+334.41 52.42 l
+335.11 52.07 l
+335.80 51.72 l
+336.50 51.38 l
+337.20 51.06 l
+337.89 50.74 l
+338.59 50.45 l
+339.29 50.16 l
+339.98 49.88 l
+340.68 49.61 l
+341.38 49.36 l
+342.07 49.11 l
+342.77 48.88 l
+343.47 48.65 l
+344.16 48.43 l
+344.86 48.21 l
+345.56 48.01 l
+346.25 47.81 l
+346.95 47.61 l
+347.65 47.42 l
+348.34 47.24 l
+349.04 47.06 l
+349.74 46.88 l
+350.43 46.71 l
+351.13 46.54 l
+351.83 46.37 l
+352.52 46.20 l
+353.22 46.04 l
+353.92 45.88 l
+354.61 45.72 l
+355.31 45.57 l
+356.01 45.42 l
+356.70 45.27 l
+357.40 45.12 l
+358.10 44.98 l
+358.79 44.84 l
+359.49 44.71 l
+360.19 44.58 l
+360.88 44.45 l
+361.58 44.33 l
+362.28 44.21 l
+362.97 44.09 l
+363.67 43.99 l
+364.37 43.88 l
+365.06 43.78 l
+365.76 43.69 l
+366.46 43.60 l
+367.15 43.51 l
+367.85 43.43 l
+368.55 43.35 l
+369.24 43.27 l
+369.94 43.20 l
+370.64 43.13 l
+371.33 43.06 l
+372.03 43.00 l
+372.73 42.94 l
+373.42 42.87 l
+374.12 42.81 l
+374.82 42.75 l
+375.51 42.70 l
+376.21 42.64 l
+376.91 42.58 l
+377.60 42.52 l
+378.30 42.47 l
+379.00 42.41 l
+379.69 42.35 l
+380.39 42.29 l
+381.09 42.24 l
+381.78 42.18 l
+382.48 42.13 l
+383.18 42.07 l
+383.87 42.02 l
+384.57 41.96 l
+385.27 41.91 l
+385.96 41.86 l
+386.66 41.81 l
+387.36 41.77 l
+388.05 41.72 l
+388.75 41.68 l
+389.45 41.64 l
+390.14 41.60 l
+390.84 41.56 l
+391.54 41.53 l
+392.23 41.50 l
+392.93 41.47 l
+393.63 41.44 l
+394.32 41.42 l
+395.02 41.40 l
+395.72 41.38 l
+396.41 41.36 l
+397.11 41.34 l
+397.81 41.33 l
+398.50 41.31 l
+399.20 41.30 l
+399.90 41.29 l
+400.59 41.28 l
+401.29 41.28 l
+401.99 41.27 l
+402.68 41.26 l
+403.38 41.26 l
+404.08 41.25 l
+404.77 41.25 l
+405.47 41.25 l
+406.17 41.24 l
+406.86 41.24 l
+407.56 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+101.77 38.02 m 402.35 38.02 l S
+101.77 38.02 m 101.77 35.64 l S
+176.91 38.02 m 176.91 35.64 l S
+252.06 38.02 m 252.06 35.64 l S
+327.21 38.02 m 327.21 35.64 l S
+402.35 38.02 m 402.35 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 99.54 24.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 174.69 24.71 Tm (2) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 249.84 24.71 Tm (4) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 324.98 24.71 Tm (6) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 400.13 24.71 Tm (8) Tj
+ET
+38.02 41.23 m 38.02 120.40 l S
+38.02 41.23 m 35.64 41.23 l S
+38.02 54.43 m 35.64 54.43 l S
+38.02 67.62 m 35.64 67.62 l S
+38.02 80.82 m 35.64 80.82 l S
+38.02 94.01 m 35.64 94.01 l S
+38.02 107.21 m 35.64 107.21 l S
+38.02 120.40 m 35.64 120.40 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 33.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 59.84 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 86.23 Tm (0.20) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 112.62 Tm (0.30) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 106.44 130.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.23 m 422.50 41.23 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2431 0 obj
+<<
+/CreationDate (D:20070601023822)
+/ModDate (D:20070601023822)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2432 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2433 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2436 0 R
+>>
+endobj
+2434 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2436 0 R
+>>
+endobj
+2435 0 obj
+28767
+endobj
+2436 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2429 0 obj <<
+/D [2427 0 R /XYZ 72 720 null]
+>> endobj
+2426 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
+/XObject << /Im14 2425 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2439 0 obj <<
+/Length 2346      
+/Filter /FlateDecode
+>>
+stream
+x��ZK�����W��
�����`�	l @�
��=�gF��h<�dw���~��dk$�^ �T����_��ۛş�J�h(%V���Ѭѝ!��������U˻����p���͈�&R5-c�J��f�
�� �Dw��<����.{�ej��5��g����;|G��
o~���c�����?����p�8�G!O�w�����9��Y�+�
3(�sGy�@�&����ĭ��r��#�����_�n��_��
�r7��������?
kR�e��+ʷLX"�s�"����H(sV�p�.
�W�f	S4�L<E��*A,M*�T�j��D ��E<��dWQN�<��T�(��gr&Iê�
+�nrI߬Z��I�3��h4Ik
�
N�̧��v��fI�G^U[)'�,X(B���i���w��A
%��1��+���f�<�5�a�;�(��Ѵ�<,~]���5�E������4�p��m��(n����??��Ĭ͸}��K�[I$3'+,�
�
+cp��b�`��P̛�
+�`Fe���DP����
Xu5Sk�Qτ�=N
+��6�X+N�p�$���O�����\�&��XP`&M
+W:S���P���n�I
2J�p��T8T���^P�
sc0�)�&����� �bC���~A7î*"yls�L�/�m�<���N��mGe�^5�
+X� ufu�
ݾbut]�
���JR�v���fh�f��^l��ZV�fxK�;W
�:�
B;���gGY��R/���0�H
u��Ŝc
1�@\�;*͙	��Th��c����1S�3��g��]�+�]1��#`��ݼV
$��H
�"����m�
Jk����>��m��V�F¼�S�S�ǝ������J�$�L{T���\9�J1&.h�sP]^�\�#�|u��څr��k�,�5����
zކ��s����
RV�#e�Puq�����~��m��%�2!ޗ�'�AEF�" C$,�k<ݟ�(�s� ^5���T�����G��헨�z�Cb@�dD\�>���|
�=�OS�a�M�Y1=��$s^��#l
�K� 
��w�ʡ~�J �U�w;
x�)�yб�*�e]>3J��n��`<�F���zʌ����9��!�>�o����&9ĉht��>Ԧ
qQ��U�A����9��S��05��cڄR6�ꏝOm�t������u�
1	#���<B����h?�>�\�;d�Q'2��72���Jf?��a�٢�l��̆�y��a]�LN|}�
�i�7W��!���U!f�0MИɚ(X;���}��
+
��D�Z��ӕxKV�W�!���:�:�q �>R�^
|����(����Z����9�9����K���_�D��ҡ�
��
�:�fSui�Dz"�R�N}N�{��|
�ˣ�)��ϼ�{G��#�n�*M^��_�Փ��n�x(QK�۱�I�����D���K�r܃�a`>���\�LU9/Ԝ.�欨���E�;��|�de��a��d�	`W�M�KΕ���B�DM�
J���$���%y챫��ឰ޴򺭵O� �
U���+W�m�Y��M%T�T��ҷ�D����	*
S����3�}�o���T:B1Be��?�-D�F[nޜ�q>��N%�AmhRS�
��.R�cmy
+�C���
j�u##�C�Yx��C�Jb̥~Mp~чPsն���ڌ[��L�4�"�[
����J��rLEr\APk��L�(��� rR����`))�nht4�T� 
Xzڏ��A�<�M���O�*��nN��5G���v��}(G+�8	/��
�a8}{�/	9餩l	3��-�;Z/\�rg4�u��.w`���W��]��c듅vz���}`n�Kz���G˜
Z������Nl�?&���]f@�E
�9~�Y1D�]u�nS�|S]wb~����^�����k�����xLM
+{&T�ø��d��Z�S��}ե�4n:
��Ǿ�
@b�x�q�I�Rj�d�Ϗ�ػ����l�;��
����m6�d

�	�{��U�W'�
����>�f�1����<���pz̲���4P_�n9����zd�j ��
��s���i�p�2�ဗ��ܻ�4��ݦA#��%�������9F����~��yf���K���H
c
|�e���W����O�E�[fu�ifcܿ��s�N��eD׎�
+x��*�fx��_�(�}��Uy��u�Shk��hP��̲p�ʼn��,ea�ac=]�N��y��!
����E�L�~M|x�³���	z�G�8��uR�jGu8�e�k4�6S
�������M�4ʪ���8k��0�.�����n��a�3�aͰ]OK��R$1 N#�
��So��)��@���]Z|x|~�Sc+endstream
+endobj
+2438 0 obj <<
+/Type /Page
+/Contents 2439 0 R
+/Resources 2437 0 R
+/MediaBox [0 0 612 792]
+/Parent 2430 0 R
+>> endobj
+2440 0 obj <<
+/D [2438 0 R /XYZ 72 720 null]
+>> endobj
+2441 0 obj <<
+/D [2438 0 R /XYZ 72 700.334 null]
+>> endobj
+2442 0 obj <<
+/D [2438 0 R /XYZ 72 488.819 null]
+>> endobj
+2437 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F32 667 0 R /F142 743 0 R /F35 663 0 R /F72 1166 0 R /F73 1467 0 R /F75 1442 0 R /F69 550 0 R /F38 1435 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2445 0 obj <<
+/Length 2793      
+/Filter /FlateDecode
+>>
+stream
+x��ZY��~�_10
�4�%z��a�I�9-?P�Ĉ{x�Ԯ �=����
�\��v�����twU}]w��g�}Ťk#N������(�j	��`���%gt���7�}�ˁ��P�P
��ռJ͖�s6��k��m���/����zv?o�����x0.x��-׸b��?�3x�.��?�#
�������FB���C���n��Edٓ��b��G��2�-��K�"$��a
��FP�b�"p
���X���,и�NÛV2E��M�$�R��R|��\!��
���==�a���i�"\Z�����/��0H�pΉ���Z��Y^��t�Ï�Y���3J���
���
�\�����x�9���y�6-��}�uR���$#��|�!�hxc�3���h޴�0%q�
+E���¬u��]�ʼn�"b���ׂ�j.�`�D�
ܧ�%�
5�'2
�9�$N؁��p�&T+Ϸ���G��DQ��œ<A��{Kp"�o������*H���E8S�`�aDF��6��6rC5#�KLq���a����Հ%���
�
�5�*G�$QJLD�n�aJ������1��@Q�
+�P[�E��pQ*5�ʫ�`a��|��p
�G���-��7� ڠ��
�?Q��o+�[6G0NGE?y�N]ce]!���y�Ay
�A�4�;�V��߫sR �̼��謻��aߥ1�詋�����u
�*��a��%!VɸT"�:,Q
�

+0‖p'�~2l,`�"�=6g)
+Ë�O ;1�@��h�	QR(F�ӣ(yX˥x��0���KKg4�/���\�
2o�u���-���I
+$��[���'���k�2 at cWh�4����D)�]E��mP7����h4۸�z 
��k�
�%��l
Q�%�]ۘq�/9B~TE�S
!$����A��߻R�q.)c�9�c��ZW8�Ͱ��qԌ��Us�ղ]|$�P8�R��"���a�(Uf���~t�.�s�Q����k�e���1�6pk�ί�MMn,2���H�f�V�9�/|�
5��� I���>���IN8�IR�B�Xv7�
+��"GG��'��r
�����.�|�97��*�
+�*�5��Ҫ��������H,Ҙ
y(6�RWB!5��;��Ǜ
F>	����x��B��
+ꍐ��'�-�*�����bY4>
����w��w
��	���x��
��E�S}X~��v�1NI.RfqY;~�]�Ғ���\�/���wqNwAN2;�j
Ѹ
Pgۑ��\,_�P�-Sq\��%䘸(@0�J)n
脋j�!V�ö��������.�^��̾���[m��>8
��2���s����b���

�
+�)o�W3n8��:�q�v}���3� �O��1a�JTU�xTd5rV�&K���"�y��w���,���

+~����M��vIO��WY1e��I&2&&��)�_`uhQY
��8�qF#\�o{�n�3|Y�c�uh
+�
+��-��M��)P�K~��
R(HuU�x1G�d���>�,>�uY��v�PP7�	��"�����D)%���>���I���3��N�X?6�]�M��g����f����}�>FìƎXX�ĝԠ<���H<��1�te��a�$+OM�:9�Tq%�cI�>�m>%4g�סc	Ds{w����-y�~[d!��
+�	Bޥ
a�o�*|]�����68F���	 (J,/��@
:���\�
�*9��!�ݭ��
v�直x����pY&�)c��/c���|��sI󼞤Y
 $i�b�����G�(�.WYz���@$�)�4DŽmiI}r���1]*:�ٟ����Ǜ?}=��j
&`���1o
ӛ���T�q�{���$��Ik
+D�}� .���}
�~W��c]�+�#��/|Y\��~
7߇a�@8ȩ�
��s=��D�/�3�m}M�]!�.oHEa
Ė����s9��t����

�2�z��B��†���d��YT�
+!O��F�rR��WX��ъW��q�9��D�71Ym��
N
g���(��
+`�H��4%��-�[��7��ȴ?�}8G�L�~[�ww�? ��˲��a��	�.=���d������?x�6�����f$P�{����!3�P��>�)
�O
���C�H�}�����-m߶�~��8'����ĭ~�J�bd$��ս}��:��L�'G�1MO��.����b���C�[(^�~��WE�PU�3�_UT�v$a�*��!ɚ|!Q�
b���ū���(�к��	T��
�.y�I�:^9 2J���u�!$*]�[�O�*�e��
��	�?��e���B>e'Nz\:n�l��~D�P��Jak�2�H� J��r2���M��=��#������o���:��:�
]��|�`R�
�v�Va���e��v>�-���Z��jҹ���=����>)-�(�
��
'��#�,޶,�qU-��ت%)˻��}T�E�Xda
tT��9�%,{[���&�������l�m��!�#�¥��~/y�Y˜�/�G훲^
Ǻ��TB��a�
S�w�
�4�k�A [...]
	/�gj��+F��q�un
TO��
!Vv�1��c��ov��������J��f���-�� ���{ҧ�l����� ��~�endstream
+endobj
+2444 0 obj <<
+/Type /Page
+/Contents 2445 0 R
+/Resources 2443 0 R
+/MediaBox [0 0 612 792]
+/Parent 2430 0 R
+>> endobj
+2446 0 obj <<
+/D [2444 0 R /XYZ 72 720 null]
+>> endobj
+2447 0 obj <<
+/D [2444 0 R /XYZ 72 522.14 null]
+>> endobj
+2443 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F38 1435 0 R /F72 1166 0 R /F69 550 0 R /F32 667 0 R /F73 1467 0 R /F35 663 0 R /F53 1695 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2450 0 obj <<
+/Length 1936      
+/Filter /FlateDecode
+>>
+stream
+x��XKs�6��Wh:�5c��gz��4����if��H�ũ^�8i�|��);���%�]���~������_��Z�"I�S��U
��,�U��������s4�/hT��AD
uP��#\%\�X����TfQx<
ck�-��H'�&
j���<���
�\(TNP"	��0XC.��§a��4j�vY���
+����m?D:�{hn��S�ʺ����T�ح+���}h�Le���P�������;?7��Fb���l�Ƽ��_��.LDm��o�<9ř�&���F-�[Q��G1��1�-Y
�K	��;�G��
:���

+���$b/Y�y)VI�
+F-���3Ud(���PC�,IU=V���
�2?C�f`�$=��PF�m6Mt?4�HE&�dL�|KZF��
���a��%φ#GS.��ǒP���ɊC��{��f8���ˤQ��x�1
�p\�w/|�>w[��;'����.
#A餗?
l�5�t����l��L+�~N\h�R��y�(�
n��>�j��k��O�Snd���d���R�ނ�v�l�$؍�,�� ��g�1����P!��b�j�����tQ=��N��PhAC|^�5�X�e	��C��N�u����x�
��0�⾲b���X��6�8j�@tg�F��&��u��4�΁���	���Ɩ�l�N�2��{B
B��0\��d���vA�0��="�Ryf���m�����v��qIw��30
�,���M�$u�L��^s�&��^+��m�K�I�0w�V[�%�Ӎgh�sO(�������/��0�/	
� ��	��!�3��Ki)�6�~:�T��]��"
�~L���
j��ͣ�6?��G��P6�)���C8�|���)���+N���C�W$��ښh�; �~?d�Q�v��
1�V�|n�3������ڎ�U���5�o��
�Lp�W3�b��#)�y�Ҭ��W
۹6D�!{s��
="
���/#�
�D�1��6z��n9|�{��ۼk��&l�Ԣ̦���
(pK0��y�n�����_��>���o&�.�������E��^ʚo�w�8�éGL.��
�
 �٢�@�Vq�-�L�
BA���g��c��v1>�y$��1�(���q��Q|�
_�s	1�Q�E�D���1�
+�r��7�t
+�c*����#l�����MJ�,xU-i8���K�y_���x���(�p)ؕ[����i��o�<�M^8į�o�X�9�U�+ɕ��3��
cz>F����e��>�J�G�(+Op˹��g3�t��J��O��|�A�L�@9���;�Nޞb|q�62d\���:!�=��B��b%+9z��~��Ή�U��Az����9�f�\�X���ꮄ��h������Łnj���m������uo�����z {���7���������x���-N>
�X&��_,�h��V���/\sh���+*����X�6�=?Aϝ5v��gw�~�F�
���̴�L����O��Zxy�@�~~�#�
H?s�s��Qaa�Բ��SΉ�d�j5�ގ���>�Ibe��ct8�z�_e*�D�BE�j|啒&
4�aGm˵i%�^�Y�v���J��
+
<S�
�?�
d��[;��nK�Jx�Za
 �jx��Y/K��B��A9M
�OX���`�|E�{�(X�
�&8�� Ԗ���>qL^��o/{/H(X����}�n��ә����$��ʶ�
�jC�Q
F��
��u��w�l���x�<��
Ljs��\ͫ�G��iC�U�$�>�C�M�nL�n��d��0���Nj̜g���p
˅@�s�V��Γ
���/B	�q�~�8�j+
�%]�
�%ŭ�
n!���i��n�D+��΋��|�8�j��
��J��w
�z��� .��
v����][�t�7<1�9��@��l�C��M�s�mr�ⲗ�?zz���"�endstream
+endobj
+2449 0 obj <<
+/Type /Page
+/Contents 2450 0 R
+/Resources 2448 0 R
+/MediaBox [0 0 612 792]
+/Parent 2430 0 R
+>> endobj
+2451 0 obj <<
+/D [2449 0 R /XYZ 72 720 null]
+>> endobj
+2452 0 obj <<
+/D [2449 0 R /XYZ 72 533.689 null]
+>> endobj
+2448 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2455 0 obj <<
+/Length 2026      
+/Filter /FlateDecode
+>>
+stream
+x���n�6�_a��kV|H�m�6}�E���a����r�֏�J���w�R#����n�C�Er8���ʗ��>�FJ3�V(���#�F6+Ef`4�e,O�X�#�1'���`��У�C7 ���
�sN;z'#�1�����T��' ^�'m��W�
+�z��_7ڸ�)�Y:3��ΨW8��v�70 X7$tg����z�Ĩj$��rOˤV3;��B���$}�N�?Q% [�|��8t�**�O����
2�
sw>У
+�D�x� n��$�=�-�8%dK�"����l菾��$�o�Hc�4%�m���P�
t$��'�� Ai�1��֓�
o谶F�M�n��j5���q+F�g��B5.9H�$`9L;���V�&�)�qGr�����v�"��Ork���
������q�I��D�
��x�S]ې����g`����
m��ޭ���5�o�0`�lù ��Iw�S^1k���{��(T����\��C�)1
lL2���s&�iqG���~;�P%��
+�k��H
��	}��� 
|}@�:���vIh��Y���yp�������gd�3
�CҦ*��2�̙Y���r���*[rq;m=���0�
���B%���������a2�m���ɴ(򲧠��n��
0Nx� g~�f}���<e��xO�+
4�]�U&�Tؗ�Х%�k��L8Du��[��j_�RGÿ`y��U
+�s��4P�kO��ϸ��]ް,
���(�P�CP�z����!����O�u�A�DUCJ��M4����sD����:�����??��+x~���WD�<��?���~�!�<!
�y�s�
@i	
d=ѻ"d}s��|@��PiԳ2mD��:Bf������<9��[�2Fv0�?���--�)�__�WA��
+��Ͱ(�P2K1	o6ˉ��l�,B4qŅ�X�J
���ʊ
�S.���bU�&UeE��+r�f�d:e��0Fqm�!�m�Ćw���N3���7�������9�D��>OR_Q��z�/RV�`A�
ۃ
�T�E��(�b�`�n�K�ɨWAe��<�
�c�
k� x��&O�����
uNO�({wG}�e'nqC:�R֭g��y�)m����D	+�~x|��$�E\A%V ��
X.�� ?�M�6�5�X���+$���
ۋ��
++�.��m�o&�r��}�2�-�� |W���{f��]�y�X�J�_yz
B��֔����n�p�7�[�ޣ�{�R�;�J�Jš\��\��5�,yE,���3�΄C���B|�S�m��8
��v������"��J){��W���� �{&�5�n���I�M%TW���Z�BˊY9H��i�{�"�SK�I�wM��>�ڜ $�&�x�E����-�l.+���
+n�jR �U�fI����O�e��+˃N�J{�i<@���}�{7cL��d	[En��hW(Z�ܲػ	��ҽtN�/�z��7nR�Rd&�ߤn���~ik���yE��~��u�jd�08�,��(u�ht���4�p���a�q 1agj�{�p��{jgUe"��=�p&��DU�;�+Dz��/^��dOt@=~(}O���ԷϾW�:�m�f!�T�41��[TY�JRicy�[jk�
�nx$���3a�`O�b�hӻ2�����|Nog'��Հ�
�X�A
󑰋�{n�].ȹ�&+v���)�Q��%	m��>��Sq�e����m�����f �����N�N;�X��:֌��8�Z�,�w
n껋�tQ��o>�8cO���j�
�tk��	
+YQ����� |y�>��tA��E
r^�)�y�*�D
6����7Y�3������[8�>@c�/��
�/
��n��^�qK��V� ��Ҕ�a����x��̇t�"��	���� B�c�1������ڒɬ�,b�0JȪxL�����E���4��!P\1
 �?�ͣO����Y!{�KQDP�@w
�������m�{GSl�t>���P첒�7�l^�Jja�/����Q���5z�HV9�;������<��x���� �m�endstream
+endobj
+2454 0 obj <<
 /Type /Page
-/Contents 2168 0 R
-/Resources 2166 0 R
+/Contents 2455 0 R
+/Resources 2453 0 R
 /MediaBox [0 0 612 792]
-/Parent 2138 0 R
-/Annots [ 2172 0 R 2173 0 R 2174 0 R 2175 0 R ]
+/Parent 2430 0 R
+/Annots [ 2457 0 R ]
 >> endobj
-2172 0 obj <<
+2457 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [246.105 309.572 279.959 323.52]
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [225.045 620.007 247.815 633.841]
 /Subtype /Link
-/A << /S /GoTo /D (cite.Huber81) >>
+/A << /S /GoTo /D (section.12.5) >>
 >> endobj
-2173 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [286.152 309.572 311.557 323.52]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Huber81) >>
+2456 0 obj <<
+/D [2454 0 R /XYZ 72 720 null]
 >> endobj
-2174 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [340.243 309.572 373.773 323.52]
-/Subtype /Link
-/A << /S /GoTo /D (cite.White80) >>
+2458 0 obj <<
+/D [2454 0 R /XYZ 72 582.809 null]
 >> endobj
-2175 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [379.966 309.572 405.371 323.52]
-/Subtype /Link
-/A << /S /GoTo /D (cite.White80) >>
+2459 0 obj <<
+/D [2454 0 R /XYZ 72 529.5 null]
 >> endobj
-2169 0 obj <<
-/D [2167 0 R /XYZ 72 720 null]
+2460 0 obj <<
+/D [2454 0 R /XYZ 72 437.336 null]
 >> endobj
-354 0 obj <<
-/D [2167 0 R /XYZ 72 720 null]
+2453 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F149 920 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-2170 0 obj <<
-/D [2167 0 R /XYZ 72 575.284 null]
+2463 0 obj <<
+/Length 2470      
+/Filter /FlateDecode
+>>
+stream
+x��ZKs$9�ϯ�vĶ�[���;K 0`9���3
�۸���'SJ��*U����Av�J��T��wW~�Qh!��\\
.:ό�p�c\C��?6?J�/�y�{)m1�
7<
��Rlzh����
�/̔�Z1.4M��r��������>C���V�J���E�լ3�V��~
������֊3'�
W��M�:6����
�
�J�LGc���"ɟ���m
H4(�O���
v
2�Ŵr큄�?�����O���N�y�v�
+>���1K1р]�87�o�����Ӳ�ʹ���(�����KI�����
�2�^�E[R�-�F���z4�
a�9#jT

����V)�)�ϲ�^��]`\];��OA��

�QXAθ"�U�O
<�����V��*�i�q�����s^O
+J<�[X&mҗ�t��K��@�>Qu�!�}�7Q�TN��؂U����i/	
>���I@����ih�u��_�
���wa��+��1<��e
3���6C=)Y�2p� Ì	�o��z��ĨW�Ֆ�7�s �-�����S
�#<�Z�b��&Y�D��}��|t����"
.ЧU?.ĝÿa���e�#��I:��M�D@�g-�_�^��6�ŧ���I���>B�����E�á	a�T� 	4<)���}�u���̢��ӳ�K}IgF�U�c���I~�K�*��
��Y��y���)
�w2#�^B
-VGif�?�8�I���8�
��'O����h{�P�8��
�?Im�0_�l 7<Mh�&��6��|��l�L�-$����I�1�N��N܆�G��ߍ�>ʼn��}�~Wx����i�]t�a���ѥZ�	��}G�h#��+�$�g4��i�Z �A�$�ξ���O��� �^e~e��,N-��xRR�Ƕ��`^�;��:���	q�j�-M����0*�D�\��1�IX��
�f/q�C�m�*��ȆpB�&�gJ�Q�B5X�,B_�pL��.r7sL�md̦a3��
�������3y��L�?�L^���Bvx]	q���tV"%�x�d�
f/��n�V�?��?yQ��=+�6��r<�'HG��k�5�����c �FO[�=���:
!�{�#����0�
��_W
��
L,
Yؚ\Fg���26�IQ�b^�zW
U�L^��eF�"��N*r&�4�Y�S�
��c�c3Q��h��c�%G5�o�+��K�����!\�
����lK�Ա�Ė�x�٘t���5%�K�#�{�k�8Rs�%[Q�<#p���
3�y
��{p�j�7ӨK)U��R�	�8n
+�ؗ��C�Y��U�sܬ��pn� ��q�5�
����DW�/�
�G8�����:� �E*���
C+��U�1�J<G��[�s�V�
V�oML`�9�Cg�����
���ϝ�)�3�*�1ajm�`<�ه�����
xO�
+ at .%`��� W�3���
+�e
�'�FkM�� �n���J�<���J�P�,�/Nb�RO��"�
���!W�
���;I�Ŋ��
�8Fn:���t�������T������
�[���d`�3��s�įm_�mr

'�v>5���������.��WL�����
+�b��p�+��IJ�2�߯T_�)��Lg_�J6�{z���ߓ��2gT,�lc�K�/v
�cL���t�S6&88si�q�B�ƒ'lUك���
<h��%7�;��.�>W����J~����Hș�Q?���
�+�0�UQ��������DP���)�k	i��enV��p�vi��	�r<p�KSͪ��z������J8	c�@7�ɵ��Gx�C�-��,D4N�ۖ�Bp`lu.��
�g��p͡Z��&ݥ[�"�;�)a�ݛ�i�W�i��;
s�N�Eү
+*��#,u̱_��)��;����9uG�
i�����Xd�^�<D
��]K���*.�ͥ:[Ԫ�4��̍�j�Zm��7�[a�R�#9�c�	
+}j��S$b?`�꜋�FΌ�#6
k�JxSrS��iB�<�C�(���u�2���>8Pimt���I�z߼�o�
tgFnXU��ף
+�����n�)=b���B���T�YW\),�^�I��)�,Sxr��⽒K*���=X(7�QX��O
� -��5����+��^k�Z��^�!��0#��Wp���W�`��W�LAq�2|D��E�O��#�\S��<6ߧp��3�]����o��N�\2Pbn�#Y�m��+�q�6 �����y]i���j��-ޓ�[j�:1)z�
Vr�Y;��.'�
+�M�M��$O���0<�If�#
i���f�è`
U����4ʟ
�S�y��ݮ>�p��G
���O�	e.�c�=�7ɔ7KJ��ϙ�SQ�:�凖*X��xx�T��jI��w��y���2>��aH��
�
Ju?�*+���b���Ap�a$�Cs8���W�
]ΌPendstream
+endobj
+2462 0 obj <<
+/Type /Page
+/Contents 2463 0 R
+/Resources 2461 0 R
+/MediaBox [0 0 612 792]
+/Parent 2430 0 R
 >> endobj
-2171 0 obj <<
-/D [2167 0 R /XYZ 72 378.979 null]
+2464 0 obj <<
+/D [2462 0 R /XYZ 72 720 null]
 >> endobj
-2166 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F76 747 0 R /F78 924 0 R >>
+2461 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2180 0 obj <<
-/Length 2237      
+2467 0 obj <<
+/Length 1999      
 /Filter /FlateDecode
 >>
 stream
-xڽYI����W�
d���&J
-�
d�
`�CP�,���ʖ˚�R����:��=>J�l��^�K��
ɷ|oc�p���G/�`i-o��X.c�0�a��5x���ʕ��o�?��4Z�
�d�#�_V2�h�5w�PIt�
q�f{��P��&���sc~t�f2Q��w�0聼�>��`]���5�SW���3l
�{�v�>��w&�׫����8�S�^^�w4�3LB
F�
�
�V�W���A��f;��(G���X�$��r�
�����ָ��H�Q�
��v�ϝ�ǣA
�����rX|�+�{�r.�,ՄB3���ϩz��)
����p<t����Y~�y��7Z!��p�]F�P��jl����
�n>9%;�$W��&�*!
{0��ڼ,*7{\E:�ʞ�e���vG{�
v��������DTTG��EU7E��I���Y�9��ltySe]��gyDsg\��	�S��
�x]#�h��$�S4
,��G���w��"��aǶnh�ϫ���+�j$x�����Z�0y�q�)n�`�Q
��Ν�ӝ�7t�BO�O��ܫ��k���Q ��D7�
�֗�ݜVspN
D���7�V� ;}ޒF�Nu*�aFEp	
��p$�D2ŵ����
��p@��`v��؄P˚�M��dS�TY �n^�I���°�|3)��k��A
*b\o�9���~�
��f�g�|fN�#�m�f7��PQn��!������}fC�/ğA��A[�wC
�x��lr�F�]�
�G0io���m�w����گ
-��i��{��F��E��S��4
-	� �Zc��i�R=�
�
���	�p��Dz�4��)S�Zj�T��ŕ##Q(��r�L�ڒgPj�R�
��(0�B-n
�}�X��>Y���!�44��5s�Ю!П�*R�$����X���Va,��vW�t
�h���/�w�8�s�[U[��bCT�BX�!BB���d���
e�t

QT���i���1��dP�G
��d�tbˈA�
׳8%��=j�Y��#M���z�QIG��۾,?ѐl6�G�;��]��6`�+ӷ#���Y�s��xx�S��(P����L�P޴���*ߐɴP,�LM��>��H�!�X]f�+�ہ�-�@�����M�~"�|WI[ z�f��H��b���0Pl}Lq�o�|�(9����~>p�}
�i"�|����
���\�B
�d�����o�k�
zq�Jyă�7є4�5�n�$�Rp�*�(>H�;��)�������Uă�.��b48-�  [...]
RO�/ �L1���R'D��+HN���V_���f%C�b�WP5s�j9��.���SK�RΊ��X�bNJ��Tyڶ�����5��b��'ܻ�-�S�&���%Q�j�ǎo=���/hMC�:��U�XD���:�y�3����б�&v�`l$�2,���=I_B�@�*��)�)I���
Iz 4
��5�h9�+#O:Mdr)�b���Sje�Pb]J�L,�!�P)m������Vh��[��_��B�Z���Ɨ�_��ඦ{�1g�_ �p�rq���xT8�N��5g��7��^_��JA��c�S 6힊"eI�*�x�Pz-���9�g

W
�����#�f�?��I,p?�B�IϘ�
v�D@�`!y��R��f���P6�N�p�/n!X
d
�J��Ђ�
-R�O_�e9�sU��j8n5?�Ŝ��$�D�E���RH��3�Ǧ�cjS�-3����=���!�]�OG.C�ϥ�L�m���&1ML$c��L��Jpw�4'c��+I�l���m�cl/NIfx�%��?ZZ(����ř�����>ɚ��Dȩ��}M�Ox�D�Yz�f�Z�_}�R
�����.{��1�T�z��8�
�
�������r���+�q0\�-���go���>�@�XD�T����m>]�b�
�$T�U��lX����ţ}���ت˽�Il��O�D���WxǮz�~���+b�
5a/�Noj�
-�t ����������:����P��U�d%b7r�\���X�)b��*
�؞
�9�W��5��7��z2�WOWa�u����,�b�|=�
����]�8�������r6M����N�*���8�t�_���endstream
+x��YKs�6��Wx2=�S�!@�i;�x��ݙ֙
�
h����ሲ
�����bA.HP�}i4E<����>���D��Lӓ��I.O�b_��&g��l�Y�������K����:����oe�v�'���Hs�������	¤���h����g��5UYLp������o��
+�og�6�~�Sz�GM`��ܚ�gv�9��x25R�"{

+B��9ܾ�Y��]ˆ�3�̘&C
�h�[q.H���(3�諹� f@�ZyBEJe��-�\ӳ��e�D2e��̘2%e
+5�\eT� �?�il^�cE�Fy����eb�ʀ\t��g(�I=ߐj3|m��H;�rD�� N�B
	�y�|P�$������pz#��?�$A*�
��˩�͌������OaI�ݝ#�I��"�Hܜ�����.
*�.T�䚴�X�O��G���<� �(� �9����)b����غ�%i����
b�Y��7�ѿҜҘ�>�gA�
_�@��(�H���{iyn���ɻ�.���� @c�ը�)�E��[>�\7��q��x� ��,.5��q����b�OTq:��©����97��
�cB�^����T-b��vmP5-�j��!
��8�^C�a�
+�J �d��K����k&\Ekj���a=�		
+`�H���"w^Jl���P��E������ev�&n��Q�gPдU��y
�T�gB�������v#:"�C&�<���_B�O}���3%�1�l�!yd� �
5��AMvPKy��_��� M�Ғ��,�~.�p`iz��¬H&g˙{Ӿ,T�H�th�@��"���f���\&�ge���`��kV
KW	�炕�V�:�@J���j�2��m<�"TmE�Lo0B�TeFV��L�%����i�d}��}�oj�S���Uݸ�����mH!w���
��M*2����� �;��ڭƩ���T�(�~�D܂����8��|�g���I��Q�dvL��������V
��,���R-��o�ˢ,ɻ
�D�Յ��[�['�w�{oqX�C�565��^2\������0��0�a���2
�]����>L�
�i��v�Yɵ`���dn3���q<:?t�AG/�/���=�F��(��ԇ��6|4���[�)�}�5_V|�
��e�
X�Hf)5r�$�an*e�+�:�5�-O����U:I��ى������$����ݰ�)3���!R>H���V��݇�B��%uX_Y�D��+
+7�=�
+JWbH%�Z��t,�'A$ʣ8ʟp�DPA��H�,ë�)��XJ�Z�.<� ���ߘk�+�A�_�'�8�5��K��4N���z�ڒ�!��7
+�P���jos<���T���GV��$ݵR*��^���r)
��0��<�eNJck[����j�m�l�vn�*O"�]�a��]=��^��b�Źz-�a""�&(��Ϭ��^�`�[w
�s�,L���r���԰�R%c�,
�ʤtA���
��uGn�䪠�0<�UP��5X�ۋ<�S�zw
�
��L�Ƀ� ��i�vc𜱺aK[���+
���\W�=� $�
�t�9��=L�V���џ�Ƃ��ѺS��9�a�r�J�f��7�ٚ���Ou�V/�'�eCu}�1!J���q���3°�^�~n�[hv������b��
+��{�_3����+�#�
���8���j�g���z��JK���W�Nk���ֽ:l�Z+�����=u��!qT��}�
Xt��?C
�=m�~�j��(���6l���S6L�ʼM��c�DΰB�dtdhz*N=�Qc!�cР�C��ecP�bֿ��+
���gzN}�����(�/����U.���$��굘1�[Ŋ���v��o�`��;��_��M)���P at W�s
+�Q�(�
�c�����V+&_�M�-�oGJ�u��k,>%�ώ�����M�����+������Z�K��a
+a
jA�E11������럽9�@�pendstream
 endobj
-2179 0 obj <<
+2466 0 obj <<
 /Type /Page
-/Contents 2180 0 R
-/Resources 2178 0 R
+/Contents 2467 0 R
+/Resources 2465 0 R
 /MediaBox [0 0 612 792]
-/Parent 2184 0 R
+/Parent 2472 0 R
 >> endobj
-2181 0 obj <<
-/D [2179 0 R /XYZ 72 720 null]
+2468 0 obj <<
+/D [2466 0 R /XYZ 72 720 null]
 >> endobj
-2182 0 obj <<
-/D [2179 0 R /XYZ 72 697.999 null]
+2469 0 obj <<
+/D [2466 0 R /XYZ 72 698.015 null]
 >> endobj
-2183 0 obj <<
-/D [2179 0 R /XYZ 72 322.11 null]
+2470 0 obj <<
+/D [2466 0 R /XYZ 72 338.852 null]
 >> endobj
-2178 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F54 1447 0 R /F51 1171 0 R /F35 1440 0 R /F32 668 0 R /F78 924 0 R /F76 747 0 R >>
+2471 0 obj <<
+/D [2466 0 R /XYZ 72 343.833 null]
+>> endobj
+2465 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2187 0 obj <<
-/Length 2611      
+2475 0 obj <<
+/Length 2180      
 /Filter /FlateDecode
 >>
 stream
-x��Z�r���+p�!�k_��e£���1vht ��,��$��;��F5P �!���*�*��/��Ç�?��n�qJM>�&�2µ�j	��h��z?���'��q�X�&Կ��*��$QJ�!}A�$���6�	Ϋ���U,L<� (��3h\T�|��0�'�h��+�Q
v�L�9��	”̷&�0bƉ�j2c�h�!*�T`$���p
�*��J���ҡ��E����kzY�����m���]��rS�
�[񪿯�BT�v>eբov����:^Ng�z�����s��
Oq|�4���=.�R]�
-d:SLTŽx��n��V��y�|�+�
XQ:"
��I"A�8�~�;n�]NgR�j��
�9ޗ5D�����Ԇ���師e�-��v:�]x�m����p۬�
���i�[��O^��(J@�vx�(�%�%�]n+\��my��_�����Ma�����sn����G�e����
���;�Q�=

��� 2X�/�\#��,H�X�����J��w,�cq�zwW�3��t�S�D_��{�P�{
��G�^̻x�!�:
P}�q��F�l0
��6;�nY�9�Q�H�'�s`�
,V�`ʼn�0JO �[�x�����
�N�D�M��
J!5,67��|�D'�:��i��
\C䀫nn��9�w��7?�fI�,���V�-e㾹:�DM,�fĸ���� �q
�sQ�}iJ��r
7J�`
8�2頼_��A�a��E�����S)��hT2��U挲f���9ӊ|Y���ts�4F0z�Q,�%�3*x�L��$�Ι{�C]b�;k����Bd��D�^��`SF�/�51��\3�!/B��`s,
����j�*�
^xz���z|�c�:��.�~vFݸr��������l|�,{!ŀ}6]��b����ߟ� ����g|P'� �t�X-N��W7��@�=��J1�M{=�Sͷ�p�F��mwH�6��v?����k��/����������T��a����]��i8��a�S���fń���k����z�IG��
էT4N�]'>x_�
-n9D�p7���2���0��
��K�B*Ǒ�(�@��!�rp�8���8l��
��	҃#�c�Q�4=�OB������@�����BQv��"�/�>$��
�%�r����lL��=F��xE-�~�R�A�e��^�K*���
���D�
-I�N
�kaQ��s|Ala?�W�dYW�=Ϫ�Y�ZDK�O둶���m� �؁������}sF\��1z�Ȯ���
'�0��5Ľ��g���C�7)�%���>��
W̤��.�� Z/�Կ���ͨ
-�P�[���
4��G���j�����0j��/�P��]_ 
-H��A8��̋`�练$	����� ����ì���#ɔ���[�
��ś�	>�T���F���ϥ��R�ͫ�������"�K&Tp�M� �qp��`��5
��}Ѽ
cv��
�־&$G�
&
-��
-�
��c�dG�����0��$��8
���|��.a�����<ނv�
-{A����&���>
\�i䛶��ا�KkF�ca=G�~Aa���'Nui��4�ZB��/<�C�/CԝK3��>PN3�
-i&��/%����'`���e0$)�J[/��=x ? ޟ
,
-ŵ�硽
x$�lw�ކ8�}:�I8�ӛ��� �
��~A��y�>�
-�Q'x�Pҳ�Կ=�cOɲ�_h"
�U�^A��&�~mt���#�4p+�l�kE�k
-����3x7		:�ɛ�e�!���p�%�jU��"�~�(��4]4�uQ�{�{���L�����j9�宇��=U3tn�[�D�ʺ�G���V#����5�!ꎻ��"�_�׈��9@|���X;š��+Q^/ɛ (XH?�����J���Ӡ�J?�D��4H�k
��y`)�o
���j�����+O=���b��[�^�S�
t�PMtE�s�0�w깋QϷ��I.v�e�E
��Y�q���e�D
���g���]T�ۜ�G&��C��{�W(N�J^Ļ9U ��)��2�'(�Dʱ�����9HFK/e�9� 7X�ok/~㷻����@x�v��0�O&(�� �F���`GZM�2
<��m�	$�fK��$l�I�����aI�
���#����i����M](�fF����ݦ�|���x��{�&o
fK���!W���LX�
9a�;:8�LCRS�oe���}���E1T at b��T>���D@>l��B�\���G8g��b5f�4�-+��e�f� [...]
�����
���/@�y
-��'��
�y�����*@��%�t1�꾵�
��
�SN��=�I�P�d�-��)q�v���
-[ݵH
�G
�dcx��}�a�(���G
�
��������G�
����ݮ�KV��Sy*G��7��
-&�n������YȮ$��:P&
����x��AH^y�W(
-4{��hR��V$��?D*��endstream
+x��Z�n#E��Wx��-��H�
�E6 at X8�3�(�Cl���ԫ��]�'���U�y���y}���63ƈSjvq3c����PK�ĭ����,���v��k

���I����
�TQ���
oq��c��
�t�Oq��M��I���]��-���aFg
7D8S
+�K�ߧ�
���qA�0��	�	�S"���v�:�^��7�+^�Bq
�B�����a��8,�4��50|f���f��q|�0��57��
Q��s�h����(�n�t���׫}R�)��3�q�7���l��.>��Eg0�0"��CE0����$
������11r­+/��(��{�(1�e���)�ʶK
e�����&�^���92�!�fM��p��Y}
��<_-���K����?_ś��� ��4��T�/n;U
U�D[��9#��VDi���D=�N�~��:�n��Y���w�<�NU����9�?O�M�����|�Y��Y��W�
р%�1�Ӛ9}7	~b���*9g4L%��60@��I㘀ݠϽ$n��� ^�f��MVj���v
+�ĩ�����3@ňr^~I�ԣ!-�s9�?M���ӫ�%�1	?[�_��x�����ֹpA��W���s�_R��PHp=
�
YލY&�^G�
+�IRv�2�o������:A�j��
A�V��嬄)'��nEY�b
��^Ѹ�%�
ޥc�}�n�e-����8�5��
ɛiPa�U�_�U9���%��"6d7�5e
C�(��Y��~cCO�b)��%q"&

�P�5�;�c�4��$��x�<�j*#4���;��`)B����<�P�b���f�
t�^]��K��q���旦�e�
����ۅ�
o���f��J�_�����a_]��BЦˎ7	��F���jlSAXS�ϐ3��~�f�%U+yJ���u������
{(��-�W��ȓ�Bݓ71��Jœ�(�jz����0,sD
W;#��V 
�?���֋ʙ�Z&�"B�E��G �Ç
;$խB��<���0��>����
���U�C��l T�
�F�C�x�� �z�Ѓ'.\a��r����L�O!�k�����ےQ(�{[�G��/`���
j@��3I���,x���#�e�c�����
[����C
���l��&1ٙV����.S���Ej
���U�R'V�_m$��>*ޞ��G���|�g��e1p�W���j����Hj��uKk�BC!�]0N��
5������yQ��2�퓩6I۬�:1�w���� G�?��kt{7���aĎ�G([���6i�k���W�� �\���p�a������
� �Pid��x�����n��_�I?t�����"*vE,����G��Y�K'
��H�>���Kn뤝�L��	�]?����U7���#��p��i|c��k�3G
)u�I�#Y]TޕDa�¤)~�i��r�D��MK�A
G&��D%~skƛ&�aj�T�`�, =����͇vK*�*<���!���tt�m��s�ħ��:��^�w�^(�ʹ)�_��x��ϫ
T~�MuT�tGř22Y��IY5�I��m������i!� ��
���>���;+Z@;��
JvZ7��`E��^,�vu��҂���Sr
A{.�����_
F���m�x�V
������ߍ;[�n�B��./r_@��:1Q�g�L<�(w��N�Y�!�B8��@�^�����͸�I��A1��C4D����n�?,0s���8�j��[�Zگq [...]
+�h�\�w� �u�*�>�lK��,��g�1.1�sݰ}�����I��5��
���]
�
46�$|�\Śe$w���{�[Z�ՏC��"H��tX�XC<Wg�j}nԇ�y{�=VRe�`�#��3>
>F
��a���3����|�������m���?�:�Bb�U��U|Jy?����`���>Z��Ȗ��?���j������Ʒ���(�? 1�߮,���3�C
��<
A�
݅����>�9v:�
-꙳���q���g	�>ac�cQ�#�:���y
��İܾ��*�2(��
(5�~`$�]ߙ�:Vw}~~T�|{
�ܮ���
�	m~���J!�
'
+@�H�0L��cs�x��ū� ���endstream
 endobj
-2186 0 obj <<
+2474 0 obj <<
 /Type /Page
-/Contents 2187 0 R
-/Resources 2185 0 R
+/Contents 2475 0 R
+/Resources 2473 0 R
 /MediaBox [0 0 612 792]
-/Parent 2184 0 R
-/Annots [ 2189 0 R 2190 0 R ]
+/Parent 2472 0 R
 >> endobj
-2189 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [191.38 519.372 220.036 533.32]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.35) >>
+2476 0 obj <<
+/D [2474 0 R /XYZ 72 720 null]
 >> endobj
-2190 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [285.678 519.372 314.335 533.32]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.16) >>
+2477 0 obj <<
+/D [2474 0 R /XYZ 72 641.784 null]
 >> endobj
-2188 0 obj <<
-/D [2186 0 R /XYZ 72 720 null]
+2473 0 obj <<
+/Font << /F167 1942 0 R /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F75 1442 0 R /F149 920 0 R /F142 743 0 R /F73 1467 0 R /F69 550 0 R /F38 1435 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-2191 0 obj <<
-/D [2186 0 R /XYZ 72 404.926 null]
+2480 0 obj <<
+/Length 2031      
+/Filter /FlateDecode
+>>
+stream
+x��YKs�6��Wx:=P3J�@d�C�6�6q�r3�6=�e��%�(;M;����ł(�q�ǩJ"�X,v������'O�,��N룳őUG6�D^����웉�nv�q
��–ً�+�FV8մ�_ξ��r��h������K l`1���x�c��M-<U��ge�K
(���l	υ'�!�?H��g�in=Q�R�B$h={ܴm7tb�t���jϒؿ��X����?
1��a쭟��5�1���dO&�?�����(KCk~��XMx��X)MlPOʤ��Ԗ5�Gy��"���+��w |86��E�)���������^�2{��N/��H��~�%<�c�_U�Zxb�G��_�a�Gx����W,ἓ��?�_�[6�dʏz�Ȗu�x�iQ7�t���hu�RU�<50�'&
:A�7���Ҳۉ֝o�x�y0�'��Wv�#&W�Ji8޸��Qh�/8��H�	B]�mVZa]X��4��:��Yl!l�%B�T ^�P�YѴZ�@iΪ#��� P�b�{_���@�z=��p�řf�{�$��.A�?�N�X��l6f-U	�$w�LZ�%co��k�p,[+��
ZĿ�%��
��}�r�
��̅�`��h�����P���` [...]
+� ���* �a}Pb���+py
����P�(&�PJD�6��>�Jw
+e�V1T���9�
V�#�`��x�i%�А 
�3���G=Y�<Y��q�y�t.��w��>P�d���
+
dؐݦ��~mf�1A0�����\XUF��V%I��wJ��..C��E�JR�N%:�t2�/[��\*�����f�s
��8����Ui"q6I$ν3����H$\���R��
�mX�.rz�q0u��)�u
���
ߦe_\����2�ĉs��-�-:�T�:�j1j�B���A������Di�ΣB�
F��
+�� 4���4���
��no4�Q��:rc
+���ٯ
+�`
d�&^�tZ�$=� ��B�e��y���I�b�1�r����p����ZS�N���7P(FÃRN'AW���oxH���������,RG���-
m��l@
�7�Ʃ4�H\i�ȅ��Z��=Oܲ��އ���ۤ�NRT����N�d������0TP Y��ү�ڣz���C�3�Si�C$��&��Y,�)�:���{��� �KW9�蝔G�1
Խ��7B+Ġ�q!d^w�jv���ݢ.��ӆ�KdV�utf���C:���w)�(���(N%�y���b�ݠ= s'�����tA�O��Xp1A��3�]�R&��ʫ��$d���f
:�M���r+ ��G���:�9qc��`�!�';�.�<���zzrz�E�k�o�۴�A�]�,o��B��0��N��%�v|��O��t�T����.׾
�H�Ձ۬��W�郺�݇
��Ƭ�8�:kQ�y|*��9#�T�%|��CCIWjGOx�=���ͨ�K��
P.}��0��P]�p
+d'�q=�yV�^?��DZ��zs�Gf��r�On�;� ���j��++
]�Nl�b�;�������/��9H��)�B6�y
�S���[�� }�G��1Y�d_]�6k=�8�Wr�)

+
�\���l�?G!
��;���L��cߡAS D߮�>

�r��eߎ�c_�
���iW�z�>��k�i��i���+�Z��F ʽT���e�
��
��
�nދ׎@�;�AmJ!|�ߝ���y4��� ����X
=1}J�Q�
X��ǼFx�6��f��G����^�m�-'�J	�ʴ[�=����b�iwKR=
,6t�@0V�*�pD�'a?z_Ԩ#�C��
�:������_E���_n�B	�s;�;k?��쯊��Y�����❏v#�����?lFj�R�_�цoP�P���ew�I��߅��)��fzjs�o�{g��_�=�
�
endstream
+endobj
+2479 0 obj <<
+/Type /Page
+/Contents 2480 0 R
+/Resources 2478 0 R
+/MediaBox [0 0 612 792]
+/Parent 2472 0 R
 >> endobj
-2192 0 obj <<
-/D [2186 0 R /XYZ 458.554 296.167 null]
+2481 0 obj <<
+/D [2479 0 R /XYZ 72 720 null]
 >> endobj
-2185 0 obj <<
-/Font << /F29 672 0 R /F26 548 0 R /F32 668 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F78 924 0 R /F76 747 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F52 1472 0 R >>
+2482 0 obj <<
+/D [2479 0 R /XYZ 72 698.015 null]
+>> endobj
+2483 0 obj <<
+/D [2479 0 R /XYZ 72 376.04 null]
+>> endobj
+2478 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2195 0 obj <<
-/Length 3157      
+2486 0 obj <<
+/Length 2302      
 /Filter /FlateDecode
 >>
 stream
-x��ZI����ϯ`�r ����XZ�.N�U��N<��H:`p�$& 8�R�ߞ�tc!�#��ʗ��o�k~}}��oU��R�8^\o2�B%�"
3j�*��r�8��R������
�f��I�ih#ے�w�r���-���-�=�c�~�WU�0|S۵�웥ʂlˠ��v����I�r�5m���m�Z<�qq׉�JG*��2SA��-V���-��Jj�u�T�T%&��>#
'�ô
�uvb��t�ܾ���\f;6��G���r+X��K��
�=.x:s�jww���p�g���(�dy��6��2�
-�ũ�f�I&T��z\��b�H�IiX�(]hE�f���N�äU(4l�J�2��U����	�Ʌ�6
-a_�-H�oX�D/�&e�>��
�?�KЂS�d"��f���\ň(I��;��D��O�MDj��Eg��DĎsއq�9I�8��I��IZ(�~�$#��''�N�&�D��64�)Ds���:Ѳ���c��'��l7+�% �t�_w��%���

R��kڬ&
�*h6
³�v�,
�@��p�z�Bsӕ�pg�p�0�?z.�n˼ߕ�+���������þ([;y�SD{wd�����K�,:��g�xt6c_Ɏ�}�{�+��9{4j�I�'�!'�]�#�㺼�y���|"��tAo�/��۩'nao79��ek\�
��6>31����Y��>%D�t����4�M��ܕ�F�C7Ì-K���n`��9�?�db�,�+ �٣�G�ZZ��B��;�+q��P��r�stNV���[�7z�jݗ���Gz'��C��[۞�K���)��iK
I�K����$�H��	�6�X'���1�L)=��W�Q��#s�
����$��^J�$c�G�����k !
����"B"�X��u��C�(���wW�
-@��

-�fw{j�l�����/�V+��j��kLm�x„��T�e�V?�(�T"e���!i�g�:
&�V)�e�g��� �$A�K_�� e
�ne㍎�[%"����3&�Ә�D
F�v4���>�B	Л#�V
�
E�0&�V�����m��pܚQB�d�P���tJ󌧴�
-8���FX>��$Y$sAM6&mqV�[i9Sj�KP�`%M���\~��2�n�o�[�[s������d�I�����s0FxB���2�q�ölK_��X�.	w���%��̱��]I�T{�&�7�?����=y��
q)�Vc)�R�S�ą+�NN
���2���\Bcp�
�h���:
o�% �3���9DA4�g!��S_P� ���
-Lo�6<z�?��z�_���"	�
iG
U��j��LS�l�@�b��s!����1C*^a����J��m@�Ik ���W�j uın�>lB+�&v�5��:
-vh3l�o'��
29[-Tu��##0Q�ڮfc��ڎO���]�>�������ڇ��Jelj��y^g'v<^
J���p1�p�vl��s9oCj�s�;�M�(��C�=�i��ش�X�<j�@�s	J�}.JA �
)��P:�fD(�����GؑC(f�

-�<hyq(���y�?Q�
�Y��@b��5�e;WI�!p�i=��
�a`�"��˙yQ�L�����Ө�Q�	�#q7(�	 ��t���}��i�N���A��Y؍y��p֙xp�ńCPc
�#r��H�ܽ���N0�|����=ʂK[;��G<�D�(�� +�H`Q��n�E  i���=-���tKq��2e��=�@t�0
�����"F�y�
���\��}M�2��=�b��,sf����HT��\7;�q�p��0r���
�X37���U{Pܝ�O�{�V�I<E
X��]n�
��i	�|�`�ijO���|wW���En����@����a�A<�iB:O�Q�=���2�H�>u�\27=��
i�~���xɟ�K���ͳ$��7)K(h'�xË�B���+;��`���<��Ը�(�<|��Nxj���i�>+�!
�?T����;e6�-��r�w�#ǢU���)�U���L=\��$q�ҍ�	`�C7���r���b [...]
t�����ю
��~�}���B'���x�+'7a�#S"4�L
߻ 3���.]d�h���F
-h
]o�#h~*$i��ّ��߳��h�H;��)Ϸ��U�p0�ߠW�Ksy�E�%0#��NEdҋ�n��\	�h��*E����?�F)�
$�fx2k&�i�
Hu����Q-et����+>�}�cB�;|�o�u���A�Bi3{2��/��H���&�eTwy��/��E��b�*m��q�2$Y�#!=V�$������<�	h�1�(t.$��kJ2|�0��4
�i��?,��	�$�J�̙J���Q0:~�
�I܈}���ymM���to�����y�HD;N����
�4�
-�Y*ڥ�������9�5w`�$���Gz
�����n�X�#ټ�\9�����
5���% oB�����kO�Ew��	�
�)O�9��|�O5\j��/�����;ó�T�<��;����
%�o��0�Џx�Ԫkiz���������e�c$s���mX�
�@�"b�ڃ#��9�’}t&ꊓ9�%�������gbl_joU	Ӧ���@( �/3�o��H�˹�B5�/�"� (b�O�"�n�i�yeqf�
8�&��U
'"��j�Xm&������K<����I��N �����3IS�G[h���G
��.S�K9^��b�c�h�EE��`F�S7jg�Y]&q
��W�R(%�n<zЍ$����Y��ש���8z��p1�C��$��;.�S�
��j@
��8L|WQ�vyd���T�˂~�揲!�/'
=
FOvM7''�
S��kha���d�o�gȲ>�^ıH�z&Y����$
j#��V���3�&و�i-<� ��
da⊋���İ�P�������7�/�2bg%�FdA�X(��2�
����endstream
+x��ZK�#����$�+��l�v�k�>���"��F��(;�6j��c��⫋�~h�{ɡ%��X�7?V����su�k&�������U]YV)��1�s>p1�������0�^KVyUy�-P
�:���u�Q��J��
+)�U"��c����+\u�f��'�p���0_�f��L�]��A�w󅌴8��3]ͮ�7���S��� ��l�y�w�9sڋ��bB���0L�e��x?d��NϚM"�(�t�/~W��u��F�@Da�	�=R����֞�1j���
��	Dx/�&C��c|2"��Wo��1qZF[#MK�r�P\���`Ip�+���F;z��Ƈ�XN�����9]��@���h^y:
�:kq*,	\�e��T��O�'�az+�֋���0���Y躆�j���p������(��^� ���F����*n�����[����I5��>�����}�-"�/�� :N^��
�����(�K��p2l��VO+�dZms"b�y~��Iql�q���}��)`�&
-{,��
�n;/}�ycx���*���
�[�.&����\֏oB�'Ub�(�Y<'�r���)�
�)ޖ�f���-ι�I]3g�:�1#Ry_�(�U��fk��~§
�6�)
ij�
/| [...]
++ЭR����ϼ
�ᩖዤo[f*
��W���Y�"~�o� ��j��W3F���2�}��joߟ��l��x����t���0�oP帜�
p��s
+�?����bCr�.�
+M���ns��G��⡞ ����d(������p�g���W�/�&9���M �k�
+kcH�
+"��]��κѹE�%2��>�-Gt��ov�CU�q�"�G<��g��1d��+P\��RA�'���V�wqVd�]�	��'�C�A ^�%Z�1{c���M��\��f� �b\I/���>-�W]%��\1 �04/��&�!L�$_���������T29��>.P���RO�ND�b�_���=A�bSQ5���$�6���=�^h9��H��b��K���y�x��^�r[��_|h��$
$�*7��� *�N ��!|�0�7������`�i/��jع	
=�8Z()[l
+�x�>��̣�c��m ���QB�0�S
�w/�ٻ�d�a���{���C�`pڶ]�K���A���P�7�������2�W�*��U��ʍR��
隀�.\M�M�\�b
�
l���d��[��X�!�
���<rFG�Y���!����p�In�ܨ�?�(�2\���mJ�*�ț
�
��>��$h�]�l�㦟��
g6a�Ϳ���B�h�r
����
_�ڴĭ�	��W�a0�
�
�Sf'n>�<�1
 �?OA��pXwE�����
���@Tȕ�!����t�N�;�C���%�(��F�`�N����cOmR �
]њ���<�;��&���W at yھ��l?/�Ҁ8}W�_��z�"s���?�9&��3
�nQ�j؎�\@0R
+t5n�`���sx��ޞ�{6gV��L
��'/3���L��b��i��€��t!�0h��1�s��a�
�V
�.B�t�T.(�^��!�2�5$�
��S��(����q<���PSHb�v2莆 gZ��`<{�<�8�"���3^�� �#O�n�DŽ �Y6��ۧ�Q�
SV}� Z�?��� ����
w�Fq!�V-�1�b�W{��B'�ck!Y�Gۭ5��[s+؝�xS�V���*a�cD�8�0�qN4�]N�Q�X&j���������);B'3���c
u���\2�����E��O�/M�����x�'ՐLXli)C	�)'�:�)�n%&p@���D�.�d�fu$A3�Fɩ��
�EO۹��/m�VW��:��#�km�Le
k�2m\��L�԰�+��ոjf��4�z=FPr�ݚ�x��<����TU�[	��T%�+<�S����Q7��ͮ�r�t�Ƭ���O���?Ɏ����i�d�t���m���Ԃ(�I˜U����LuP/m�i>dQ3�����-uz��1�#�f
 [...]
+�gUz�����/�
���endstream
 endobj
-2194 0 obj <<
+2485 0 obj <<
 /Type /Page
-/Contents 2195 0 R
-/Resources 2193 0 R
+/Contents 2486 0 R
+/Resources 2484 0 R
 /MediaBox [0 0 612 792]
-/Parent 2184 0 R
+/Parent 2472 0 R
+/Annots [ 2488 0 R ]
 >> endobj
-2196 0 obj <<
-/D [2194 0 R /XYZ 72 720 null]
+2488 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [304.499 620.007 327.27 633.841]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.4) >>
 >> endobj
-2197 0 obj <<
-/D [2194 0 R /XYZ 72 408.33 null]
+2487 0 obj <<
+/D [2485 0 R /XYZ 72 720 null]
 >> endobj
-2193 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F54 1447 0 R /F51 1171 0 R /F78 924 0 R /F70 642 0 R /F35 1440 0 R /F48 554 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+2489 0 obj <<
+/D [2485 0 R /XYZ 72 582.855 null]
+>> endobj
+2490 0 obj <<
+/D [2485 0 R /XYZ 72 515.145 null]
+>> endobj
+2491 0 obj <<
+/D [2485 0 R /XYZ 72 398.971 null]
+>> endobj
+2484 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F32 667 0 R /F29 544 0 R /F149 920 0 R /F72 1166 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2200 0 obj <<
-/Length 2068      
+2494 0 obj <<
+/Length 2560      
 /Filter /FlateDecode
 >>
 stream
-x��XK��6��WLm큪a� H��q�Z��nų���쁒��T���?�� (��x�[W.�h����Ѝ7Ϯ^��BJ�sq���ra�
g"N@��wt�d�����W*�)—��EL:o�~X,��Q���,vUϒ}�P6:rc6*Yg�6�u�PYT6He�`c���я{.����ܰh���c��~�Ʌՙ�P?¨�
~��������b� M8S�
-��b��y
�Zd*��}`ImE���sE�?��uS\���2Is���b)���h(�	v�بU�4*6�j���m��v��E]�
�󺩝�����b�`�8�%~�P*a�7ȀH�j�)'ѱ���K���w ����@�r(;��<*���C�s�BOg��Z9բ�[�uU
�8�n���fC�;uv(h���m3�oSgBio�C� Fd�A��
�D�@=�^��H���F����J�]�7a`�D������*0Ѻ/L�A/���������./���g��Kc����_�@�y�3�(e�2<�s��ɤ2E
�3:ӧ�0�Ȳ)+<(
�O
-8��t��
���%��Y�W�����J����	�O��4`u�_j��3�I�F�!�r<`nc����X�jpr�d�����G�v����1�x�c
������[tq
�z�=k���Z�#eW���^b����<uÑ,�Xı=�d�
�`(�j�sW�
�ޔ�#���;�ˊHl�
�5�oK�$
h5�҂Mֺ�c
-a ���<����xٮ�����/M�EԷm���=î8�ш�#�4q&��4�o�6�8ӌ�bn�k�7QQ�Ū.9��Q����M ���Ьй}څ�k�=��q�4�+�C�:��9�7߄H1���㙆<�#.:ȅ�S�G�N�`:F�r�gV��6�	��
-
�Ǧ
��)HR�D�E��K���j$F�H��2��{��M��B%c�2�@
-
-�~���s�{v񦣴�C�ͭO6��AP85���7V#��L�W��#�=������b�|����`��=
�AX���.*��S�"����A� �m�aM��
��.oND
⩖@� ,8I���0� ������A*3�^�
<�Y(�$�2�`���p�)>�Ǭ�?�Ɗ4�_q2ꀷ~�u*r�f�O�g�!=j��)% wn�Lj�h��bؗ|]�ȹ�
%�ļ�ڞ
✾q��i�*=��:M�p�z
--�\��#��9��\�l��O�'����	@�LFRY�L�NҸv�;�gT�j�
;��Ғ�A��N�u�
��+��!�?
�6� ���N��p2��};J�0
�ַ��Qc�E��)c|C�ē����LG��93�جO	
��w�<��_������cw_9�⮺Zu�AG�X�������T(y�
-ve�\#��vYE۝'.�����n3D&v�w�
p�-(5ћq_�G\�Z�Dכ�u�H�I4B�Mo
(�P�;�T��?�l���
- P�5P���7����T
C�*�-����@��}@Ay������`#ړ�p��1Gwś
�,z8�D
�sV'�kª�ۿB,c�ъ&��	n�D��Cupv�d�N�%e��gWЌ�(Txj��0?��
-*�|z�[Le:v�����p��C1
-�����.X�C5�\O�J��Q���Lg`��������­[�	�2]M�s��n�D����Wu�Y�
�������p�i����;��j��l��aK�v�F�	�q]�e��^�b���w�)n(y3��\�[
!�1�9̓Ǯ�rS�J�\��?�S	 ͷ�q�e˟���)>��#������lj������
_��U����E7�:!��tt��
-����/��3#T��������*p�,�^�cG�
��$ӰL�j�~֭
�n�3/ZW�E�V�
Ӓ��
'�H'�#C�J���t�
��px~«�_p�͝���TwQn�+B��b��Z�D��,"������s`(�s��Q��m?���
7�}Q�=}�'��c��St���������t�qzM���Oe]ݹ`�k�X,�|O<N�[zV[J��<Q�A�����g��<�/��Dendstream
+xڽZ[s#;~�_����X��ҡx`��VqY���˃cO�as#�$�_OKjiZ
��,
c�GR���u������#W��s�>;�<s�isf;�:�[|�[����0S2�l�Ϻ8�b�Op=�u�u���%/
s���+%%�..�
7˕0��q��B/���e�5�
�~��O?�ɛv����&-���Ӈqb��?�<�
)
#������oq��Y#��I�MS?w�ˏ.�(�|˔2�����$�c�B�ԱR�i��VB1���r
7Q��{��������
�.q"��e<�"^�"}���&��(bw��� �l}OĖw{K(�|qZ0��(��Zg�VF-.�l��0�)���@�>|<���R�8sM^ɖ+����3��5������ז �����
����Wiv|���o{	����M�v�E 
�R�qo�V
ԥL$�f[J�b�'[
�m\�?�M�$��l�0��?�>O>Ѳ�W�TOt̔���.m
DҖ@�R���}�.�״�jeH$��4�m9[��Y���)
1
+n�=��͞�
ߓT~��2d��C�D�N͇a,����bNg+��~
����3\?��]Ǭ�{f��Y�f�bX�x���_f�Ұ�C"J��0n񀢹�Q%�����<sJ�
k�҇lS��<�*&�

�,�H�z�b�C
ζɐ��L	W��{f�Dz�X!U���2#������g��o�dӖ=g��2��јoPZW�͔�r]7�d@�jJ�`�
+��
]�}[�n[���	9h
�2;�t�+���W��u{�$w%-;�d�����w��

�D
+l��@O�u����g��
r��+
�b*�
��L��8��5�t ֶt��tp�z�<�!Z��o �d!�䔁�3nu�w�B�C�#ºmN.b
��"p#kGK�
��&,'�Rp��Br�z at U�1���j�%��cN��6
�����E̓B6�f̖#����3* �6�x �(�[`#��
�
���~�l��W��QU
j�Gb�A�2a���¶��ǗR�d
����X|�$��O���aY���t�0љ���-�1-������Z��-M�L{U�D�}��<�z�'�.ڨ����	s
ȉ�_)h�n .%�@d8C,����ǣȝ�}�&����&���/���&-
!���
l�����;�V�a��Ѣ9�)+B��U�%��o�KD�h
ih
�
�:��ױ tg�-1<l����l
�.�?�-�%wMBx����}
�[�:��������\����	�nJG`G�W~iL0{F�a��
y�=�v�F_�'C��(o,�0����
=��Rr��V7s�J7g_g��s�
+�2�ٓ �9
�&|���	J�`aсQ�̈	��5���\>����dL�xf�ߥ%雱���J]�F��XI��NiJ��jo(�Y�l��F��u1�i�qGB�aB�}�C��r9����Y�3�.0!�S
+}���T���O��Ht
����]	hGKbǔ��*�Dl�,K|~(x�,�S���)�P���ib��Q:Hw �hd �-����K'ʶL�n�Es�U�17_n���6�͸��������
p���P���zMsLm�4g݈�9�&
��
��Q������UŜKfDq]���[�3׎V�
pO��'�ᆳ����'��)k���CɖC�1'K�Oqx�2[AJ�G��%srLi�aw�rf WS�hy�u	7����n���q������%0z�%�z�o�7Y7���?_9Pap�g�Go�V(-yҦ:O��]���'�v�ŹaVK�f����>�f����fj��þ�U���ˈ��;�Up[,�
��V硵]��#u*�ӂ��
��~�
��CD�H2f�@���>��V�2�m��	��:Ӯ��E��M9�	u�U��E��7x�c�z�ƻHfK��L9hS_~�ݗ��9D��5�7�����i�<W�0�Xg'r�
��϶9d�fIL�>���[�
U�6�^N�3@��9�ŝ�k�/|
+[}r��;Gۮ�k�8w�6�Vf�����iM��
a����S��#�`����O&���Ѳ"~�C�ͮf�0��'�.�Q��
̻���+���%�
��ZJ�<��ܑ"
cR�0�v�j
���0Lɪo~QPB������Y����
�4(]�7(�Né�]�6���T��Fw%��H�|�U�3VyB+�NB���K����Os�� i9���q�l���c?;̜k�v�I��k�=6�W��hx��c�
)�fw���
�$���HJ�}�I���S��>2��xYu"�	!�A��bv5�\MP at 6k�qA�F+�S�8�J
�\��
�b_3A�m��s�h����h�
d(��:�
O��3e
��tXt�'J�BS��+�:ú�X�(H���J�,�%H�_���_�������Z����/�+IϾ
k<��C�8�C�/�!�����#��RT
#V-u�@p=|���x����%7AO���BN�F����M1����؆�(�7*�۪�P�	���ۙ�����0&#n>%�������t��?�P�?endstream
 endobj
-2199 0 obj <<
+2493 0 obj <<
 /Type /Page
-/Contents 2200 0 R
-/Resources 2198 0 R
+/Contents 2494 0 R
+/Resources 2492 0 R
 /MediaBox [0 0 612 792]
-/Parent 2184 0 R
->> endobj
-2201 0 obj <<
-/D [2199 0 R /XYZ 72 720 null]
+/Parent 2472 0 R
 >> endobj
-2202 0 obj <<
-/D [2199 0 R /XYZ 72 375.251 null]
+2495 0 obj <<
+/D [2493 0 R /XYZ 72 720 null]
 >> endobj
-2198 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F79 926 0 R /F32 668 0 R /F76 747 0 R >>
+2492 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2205 0 obj <<
-/Length 2128      
+2498 0 obj <<
+/Length 2001      
 /Filter /FlateDecode
 >>
 stream
-x��YKo��ϯ0�F�\Q�Di� v����=d���Ɂ�R��JjGR{��ߞz�j����<� ��%�*�㫯��w7��y��
iD"Ӌ�݅I.L��X�[��H&+�|�כ?~��ij����/bZ���l;Ÿ}/��ߟ���[l �L�8s�Y�uQD�ٕ�V*���ZFC
��n�V&�ޮ
-
���������6O��n�$��R)�Y,d�/�I&�����~\%&�@n��Ѱo+~:t��P�<[�X��
�1�{���W)(���vӀ�4j;�����
n��
�w.asxυ��6�f�8Bwޓ�E���m߭�Zgd�x_Mb1�
-_�wU=�@�']ʪ��j���fdM�
7��ƎG�����n�* |��n��S�~Ϻ}h��	"��a��;�jf]��gt�
?zD���
-7�G�j
b�D�{'�_�,�����6wI\?޷<�!N���U�U4�4P�u��_`)?�}�d�����@3��ar�� ��p����0���D$���F���@-R��!r����q�P�ьG��* �U�		eգ���L+�r�:�}�><��&��h6�d���ۑ S-���G~���wD�\Z`(LF���q�1�l�Hy.`r�gl2Ώ�Fޔ�c�f�rs�q�������q��� �
7��BŢP�|���CvC��I��+H��X�S��g���a�������Aeۨ�v�� x��[x����-�y�/���J����`����
�@v�!h
�=�$��"Z�E�[\
QG����+���u�yFF�ݖS��6k�Jty��>w��k2s���a
>��g�+�
������L�/S��?�
V��=�ϻ}� ��HD%���:�
~!�򹂠�(�>���.�4J䉞�)K��~J��f�(KI
?$2i!����!��j���2 "�Q^B�)	j� �C�A�%�n�ݭ���7�§��%�0��o��Euo��E�4'� ��v�n���(ޞc(�C�P�v�0LA�Nk�_
���
#��u�yb`��0���0N2����k0��s�諿
콇�u��n��
���w��+�}K�XL��<b�k�sxB�Z�ys��0��gzs��s��_���(��v�{�]��C,�H�
-Na��jg�x�Q2�� C�fR,�۲��s@
_��Ωka쒺~�|!�e�
H0
��S�/�;��V�g:�
~��,���4ns���{�aF����tp[����.
1�B	�_Lm
�|X5K����
4�����!e,�J��3*�bfh�@�k�@u�.t���d"ż��g��ߺ�i��yN{�|���z�`�ؑ�=�Q��sJ�1z��g[�~ ��#���9
87�p�{�
��=O)�%`�y	��%���C*!͒
�
�\"R�ϙ�tX��X<��Z8��W@�z�sl\(�\9�/��sIQ�u�� �I�;҅���{��N��
� Y�C���եo��h�C�٢��T.���[,w2�y����
 f�����s_��,%s�$ޱ���5�Ҝ
�y���O�L&O�>
-\(cD.]��C�Y�R���Ϸ6)��{p�L7�A�����0�
�7�
*J�%�HǑ�kz�!Q ����H e!$&��y����A���k���d�],(��Ʋ�?�D�rj
_�6ִ��������5�
mxGG͚/�}l�&���X�\�
ƣ�_�Ǧ�������p���B)�>~�����ß�� ���!��z���2*�]=n?�8X�s���Ɵgp�u��g�me;��Y
��	���v¤�e�r~����MW����e�jh�q�.�QO�7�뎐�-�����,>
�|N�Е-O�v�z@����
�,��V���%�<W�[�/��3 ~S,����il�PG�3�
�ly���8B�|
:=8�d!2�c�nJ���a^o����ܜ�

ߥ"U/�����C�4A�L���
-�����F��F�\]_���R�gN�O11`YS�/��k��]GD���{��8H�:��|)a��v��Ϳ�k�3U���w費��9�]�}���bW9դ�PrsJ�<���g,�p���7��	�3��endstream
+x��YKs�6��Wx2=�S�!
$�Lۙē��δ����H��ZG��؇��.
rA���Ks�)��bw�}��ϟ�x+�>")���|~Rȓ"
'����_��H�6�#%F����j{��zZE����,���$�2Y�����h�(V�
՗���%<33n���	�����~������*��3e�]������
�
���Ԟ��~x�n����Ed�rr�1��d�
�xF�H����]�Dq}57 
��(O�D�
����kz�b�$SZAȜ�!�*3`h= �U��N�!�R�+�,)ʂ�ϝS�
(E{<��e>���@e���i�Vޑg 'J
+!H��ad�|� *O�yIKOa�,E1�J��
�Vʩ�͌5�uU��x�%=�vw�ANb���  qs��ָ4�ȹЄ&פ�ک~Z[B�
�_��4W�(�,,���H�jQS�*��;z_�;�DO6��Mo��e$�1�|Nς�4�n�6hIQ��.%���"��YC�ѻ�.�Ũ� @c��h�4ע]�-
�h����8vi=F�So"�j���'8��NLө�;�4�i�pjNىkf�n���h��1!��="��6�1�yM�6��F�����
��P|��j�vC% 22܂B�cZ���5;܄h*���a��	
+`�D���QsI� ��`��i�����U#�M��
����hL�N�f�1��y�	M��wv)��A���X�!�
+y
qm��(D��@	{�Jc�٨���j�
5CϠf>[���p逯��m�e�iI�n�`��>�p`if���|�Fg�3��}9։������-
+Ml�4��=C8p�|��IZ枂9r�Y�/]%T�
VZ H-��)��ҩ�Ҫ��|D��	U_0���S;�bƸ`��P+9h��J��h����a9e2Q(�RU��Y�`܆r�h�
ߐ�nФ"7J[�z	P����nN�
n���D�52�
Nd�
~�T�����D��U��Q�e~L�������V
��
���R���o�˓\m��"o�B��ߝ؍���ν�8,�!�Z����~/�	.�HP�|g��`�<�ay����Y��@f�mR7�tۇĬ���`���h�2����<�8t̊Aǐ]<�چܞZ���avo�C�J>ꖆ#�z
+E�����
_��e|�=� �2�yF��-I��J�劦�g�@u�Ӧk2M�N'1Dk�c|�C����-�
�n\e�o7�
ͪ�nȁ�'U�g���w���0��dI�6TV�$w�bE�ƾ�\A�Z��	�N�7�H�N��$ͅ��'���*h�yC�h��`x5C?%}[KQǝ
3�/<�7����~�����g��D%M�T����JmI���7
+�P��qs���D��r� ��$�Q�R&���.֪L
+)<�
��<v�RgWכ��j�m�\��n�&�DZ��؄q*w�D�{
��J��9v��J$"Sx�7�Y_q���$pl�5����
���W
N��>W2�����T�2�
�H-�;�'We����&�]����ȃ8�_���߁�I�[O
�٥Ik����
[Z�<��_i�5���b��!�o0���i��yd뵊�g��D<����N���$�C�-+
�>�oL�5s�m�봩^ZO�d}u}m0!J���I���3�p`^Wai�#Wh��
��
�Ś�.�w�_3��w6�+�#������8�ؗ�v�Xˇ�D�-��v�cZ�X�V��#��:u��/�V^'_����ՃiR6�}�
��
���R��Yӄ�+�Q����a����=eÔ����:J�
� D$��ø� C��Pq�p���
�M��
A��Y��ׯ0�
���9mc��?�]�31��ڗ8H���W>6.�eg����}�
FG��(%ו�d-a�n�
3d�>��������.(�>�-3�GW��
������
���عWX$\��#�Ɏ��`��w��9��)�W%׹���Ǘ�o�
B7�:ORV���������I�#endstream
 endobj
-2204 0 obj <<
+2497 0 obj <<
 /Type /Page
-/Contents 2205 0 R
-/Resources 2203 0 R
+/Contents 2498 0 R
+/Resources 2496 0 R
 /MediaBox [0 0 612 792]
-/Parent 2184 0 R
-/Annots [ 2207 0 R 2208 0 R ]
+/Parent 2472 0 R
 >> endobj
-2207 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [480.924 634.438 509.58 648.385]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.10) >>
+2499 0 obj <<
+/D [2497 0 R /XYZ 72 720 null]
 >> endobj
-2208 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [510.389 619.992 533.192 633.939]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.9) >>
+2500 0 obj <<
+/D [2497 0 R /XYZ 72 698.015 null]
 >> endobj
-2206 0 obj <<
-/D [2204 0 R /XYZ 72 720 null]
+2501 0 obj <<
+/D [2497 0 R /XYZ 72 338.852 null]
 >> endobj
-358 0 obj <<
-/D [2204 0 R /XYZ 72 720 null]
+2502 0 obj <<
+/D [2497 0 R /XYZ 72 343.833 null]
 >> endobj
-2209 0 obj <<
-/D [2204 0 R /XYZ 72 582.997 null]
+2496 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-2210 0 obj <<
-/D [2204 0 R /XYZ 72 515.45 null]
+2505 0 obj <<
+/Length 2536      
+/Filter /FlateDecode
+>>
+stream
+x��ZIs���ϯ�!Uk�v�˸샪�U�JR>��dr�PԈcI���ɯ��
�
ARRR�$��^��{K������3m�����z�(#\����P	����|�l�͒5��p]��[�Hz��Wp}��=U����wp}�k�_�Z�w~��tm��mz��wq:����
�h�"̱��Ǵ�u�G�w_��ui��t�
+�fɓ�|�,��r��
+J��a�����\mn���(N�ҡ��<���M���N?�v��8�[51�/Zq�-��!��}�˖k��&`��Ǜ_��6��>��1��.�~�%7A�v��.��ۧ�3�JE���0��y�U�./L��u:�������H`/J4�<��Ά%0�h�S�u�82����Y�Bl��kLðy��R�o�-x�����g��7��=���S�� �Vr�\�

BĄP�5숟�U�0�Qb�]���E�
���&5�!��QŽ(�.���
+殉n��F
~
ӈm2�0z� C?��]P	X'��J}5t٧in��>N�X����8��	�@��q@]0�H�o7=pa�I�}�\�M�3���BK6K�;6�оJ\���@2I(�����~d�Ô�y���b ��
��d�}�)�*"�k࠘1,o0C�U�U$� �D� 㫬g�u�IRG,s=�LL5�=����AB���p3,)��`�G��D�	}�B�j����h�<��b��A��}��Se'G�
vF)BxIw���������߯Q�'F�)�U���%q"�?�ӂ��`$��=|BV�����Y
+�a_��}�a_f��kL�����;�A聨�f�
+��,Z^�<ӹ�&�wS?��Y
�
s�V�
x
�6�Xڻd<����)��Ķ��]ׅ�w���� q

���2$����ʚ�F��L
���2��k �!���6=zz���~��xNp�Ύ
'\ �l�����$�c(\HN�=����
0V(��mޖ�J��bزJn
W�/kh��|N
���}�
�a�Z>�,��
�N�~�.@��_|�(Yԭ�!ۢc
DE
�
������J��#��xs|w�z���D~ q�!� �8�Ǡ8���
>#Q`�Qr at R)+�
�N�c�K)�{�(�9���@a&+�$�2��wKE��ͪ�o�^s�����=�����
]��*�D�������%��á�"
+��p$����q��X�=(�|F�Yb��"��-�;D���3@�!Z
�pɎFO&�J�Se���0��ZO��+^������.���x+ �����\4F�TEj�(�fd!�R?N$� �T��
����#�tw��'�X#<��{`�)#��l6�	%�BN��Qv\�9�ˣ؋�-	�x*`�����fB�Ty��c��JFC��
�n��l#F
0�@��)e�',΂@�֢&",Q&��-��B�5(�^;�)9���N��3�B��2�
v{�b},*pL5E$<oS 5���@`�L	$�o~I�8
�e���8�ۧ���n�#���}u�����e�ڷ���p��4p�V�����
w,c�;�X ~����-�a �n(N�V��
?�@qȔ������D�o^8����7w�3�
 �Q�
^���07�i�"O� Z D�! ������s*
u ��E��O-_�3�
+\�,��
 e
,������I	�̰��pR���;?gN��@W���uk��
:�u7������$`u*��
v���1�t����Տ<����
|

J�x#���A������Pf�J>���c�!���_�J�tn
���BB��.���
~{ �a��؉���s0Ƌr�zW��WE��E"�*\
`�9� sZ�
+�������|�j�����Q�r��J~�JG�
+؆ʟ_37ƅ8�h.���.5�K���*�s��7Z{�|�,[�es�,Ə��Կ<rD�/l�)���?q���N�6�b5%�
���o�v��
5��;��:G�w���+hF�%ĻSއ�h�0U�]M-�3��dO��O���C��l����u_��
�m F$�I[
cs}�^�IW��Q�ұ�C@��#�� ����n�ً�=9�32��V�D����q^�	�Nj
�q�\�g4�gu���Ux�>x7Y2�2�/��|�r�{b���i�RE�LX�ЗV�?��-,i�d4�?� 91ˏ3�S�3�$}D����[:YU��:
�Cn�z����檐�y�����Ԁ�3*}	�(Z
+d>@��>Ϛ.�Le��;��eQwĥ))�e[��B����4�-J�f�*���wQ��
�q񸜟M��?���y
e�{X�1�E�����iER�"f�-綠�-�<�3��v��s�3#��˨
+���s�}��5� P+���eRj�~(R��G����9
�|����b�?
�'�O��?��2!H�
�KdN�^Z>��9�������J
+F\'e`�'�=z�4U�&��=5|�������|�[��>7�42*��?�&�F�������_^��|�_g$R�endstream
+endobj
+2504 0 obj <<
+/Type /Page
+/Contents 2505 0 R
+/Resources 2503 0 R
+/MediaBox [0 0 612 792]
+/Parent 2508 0 R
 >> endobj
-2211 0 obj <<
-/D [2204 0 R /XYZ 72 400.95 null]
+2506 0 obj <<
+/D [2504 0 R /XYZ 72 720 null]
 >> endobj
-2203 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+2507 0 obj <<
+/D [2504 0 R /XYZ 72 619.368 null]
+>> endobj
+2503 0 obj <<
+/Font << /F167 1942 0 R /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F75 1442 0 R /F149 920 0 R /F142 743 0 R /F73 1467 0 R /F69 550 0 R /F38 1435 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2214 0 obj <<
-/Length 2478      
+2511 0 obj <<
+/Length 2047      
 /Filter /FlateDecode
 >>
 stream
-x���r���>_�K������oN2N)e;)[�$�C�%Ԑ �G���-�@��F�K9�r!zy���K�Ϸ����WR�uQ\�n�l��U%l.
,l��}TR��s�w 	 �*Q\	�
V2k;Se�L^
-��^]��n����Wצ�c�fC�^&s�h�*�
`�3���������O+Ue<���׸���._][#�t�'�i>#�F\2{Z`E�*���}�\
Q�A�����a?Q
h���Q���յ4�1%! N>!i<
-lh�'6pj�������q�ˀGS��e�ۓ�Na�]Ҙ-rQG���p ~شyQ�
):���ޭ�a.ٴ�[��횸[O�h�_�vN���"O�{�
,)%u^�f&)�Qd���;�*3�&S��vy�t^�����
�
�
|� �sQ�Ɏ� �
��d�a��䶈&��7��������
Z �2g�7�jS���?��?<g�U {HD���أo���ă��!��wM��}�@?��O�/��lH��>b���a�J+sc�BY! *� ݆���ِ�wo�Z��er^N�(�P0O�G��@&��h������<dt
�Xx���}�YSF��v��� W2j�o�e�L4�LJ��_��kA�6��Q�y���
-�yQə�9�J�.*��#��)�Ԧ ��NY��{�Í���c�s���}�s�R�,-�#,�o�.��)vx����u
-�-^H��H尺CY�M@���P���Q�
���P�
�xׯ�΅%t
�����]���O��H�mG2�J��H��G*�1�-�*أ�����<)Ȍ\Ub$ж�Bje��r��-�7
�vtC���i�M�[��T*H�'�xy
�im�ԫ"/�����\
3E3D�r7
�J�?
����Fp�jHl ��k��+x��槎D��h$�
*�ͭ[Q�z�XP��@��L8�K���C
���y���{�Ң
�W1N��	չ�#Ȉ0�P��sL XT�z`�𼀆�i�S��w0�
߂�I0�(���0E�m���Q
��^*��0�

M�-c�?="��B
�]�"�e5E�‚c���ׯB�"�r*[E,[�Ե�� #ߠ	Y��a
CR�0��W#"��tv�h枅HO�
��UF���ݓ�\X ���l�:�Ra`-�!e����񂞄�$���D�T��QH�K�F�"I� xp�q�Z2+��5���h����[>������ؚe�7�E��]�n�� ��TSXt�<&q%�����)l"µ�
�h�����\0
Uً����AWX�Eu]2٠��)��"<:��Qw�ۍ����I2
\p!�eU��]e'�������:�)<]L�_��O�b��(M�N�(4h%$��vx�;b�B+������ӑ!pvR����� �	H�c%<5V�����U�
�;4�=��m�k��Z%�����{
����
}�M29`LKW�zΨM���I�X�֎���ܡQ?p�����y���gjY�y!�,fb��o)�g
�|Y	e)%]/w��ʥ2��D�7(�%�W2/��wkq�)�7�rJeF$M�5>Ӵ�&�N��gP�}^���R��f���x?��%�Olb\�@XJ�8�r?:Y���
��'ާ�G�P
/�Ȼ����'��<'������b�\疐,櫀�2�N�R�9��%w����p*ީ'`�A�X�I0<���k��7Q?��|^c�n��?����nG�\�,o<��PN2‹�H��))A���s�n�x�8��<
-�of�D�z��e���)ׯq�x�C������K�b
�D�
��G.z
��COLk�� �t���!��j��	Bs;
-�~Mbv�ر��9į�J�GF�뢤��Yn
-���iಣ/�����6l��9}��F�#�������E��-�a88���Lt&63�J�WL�6��L�L��fv�AT��HY��S�L�V�*���?����J�}t�u��:�ւ�Ѓ5�]���
��,�'g�LXO$���2=q.!X:�T����u��0O��H�`{xH`�����
-��Z!"9R$�)E�`�P.|�Q��짊�
[�eᗹ�"Mr����Ig��s�
�36.t���H���I&��:�M�u�>�k|�
 ff� qa��F�ֱ܅��F�6/�F\
�C:�x��IK
-(MM�f!�M��s���M�H����7!#I����=����)$�oY��W�lQ'1셤u���.}׆�b'7����$�(侰�7���;�U�.�����6F?�V���e�'ne��z�DDǫ;^���@�)l1�
��tl^�V�
LN��>�%��� g�
!t����W��
9򍻴��++�{#+)�W�$�ż����6��'��!��]�CC[�CT��������덥W�"���+lw\������ ���
����1��K
��m�����m�ݖ��M�
�CsZV5��ZB Kدp�݇�w��
endstream
+x��Y�s5�_�a�p���Iw��xhe�M)����>'&���9)��vvW�;�,�)_O<��V��~�vW~z���gR�GR�Z룳őUG6�D^����쫉�nw�q��–�����Y�T�M~>���g�x�GS��ԖX�]a
�a���C
��0�hj�Zd?�(�]�@��آ�%<�x���� ���#���DU$��H�9�(�k�tb�	�t���jǒؿ��p�oQ�;
1t�a쭛��5�1���d�&�;�����(KCke�׬&<}{
��&6�'eb�0�e��Q>rv�ʌ
b���d�džв�>��S��7����/�׹���2;t;�~�G�s�૊_
G,����%
~�
~���w8��B��x
[6�S~00��l��Ӣnj�
�ߢ�u
��䱁a>2��	:��/����M��}s�kϽ�
ჽ��M�\�J(��xi��+��"/
+^p
����o�"%����~�:�HK��{��6���5��0/kh�,Ѵ�:
+�9�����,�Ŗe_���@�z3�Bp�|�3�6P�I�]z?
�&4���	KYKU�V��;c&-�vϒco��k��akEU�cK��dɢ��Ff�ygR�� y�:#0�a#�$ ��U ��q_����r����(Y��޺96
�|h�!�7�6���%CЈ\z�vL����
�V^��[Ji)g�^�u��^;D����T} ����V�qL��
+��>(1������Gx�r�
��J���6���M�{���Va��sGs�8�h%"�����i%�А jW̼V2Oz���Y��!ļK:U����>PQ�P?�
+
��!�Mu����v�� �����\XU�
b�UI�*�R��e��]P�D��T�s ��	\��{j�R	m�?��a��4��'���Im�DR��L$��=	ׯ�P)W�@���/	����f
�
�h�gM��2�BϷ����$k��6a�\�%xG~��4եξX$
XH��$��v�VZ��<��o���,	"p@���?�ޣ>��e�����j7&p���~U�p����a�u.��F�e�a��>S贬��2
O�x�
�o庍
���σ���kQV�߈B���jaj	����7������DYĎ:�K[�
mوثo���.hh�R�ȅ��Z��Oܱ�������ۨώRT������d������*@V۩�k����;�~��
d*m�z����	Iּ-�)�&���{��� �K_9y�ʣ�Z���7B�c������=d���jv���݂.��ӆ�JdV�Mpf��Q��t\�� )�(���(L%$��e��n�
�Z(����tA�O��Xp1A��7�}�R&��J j)T:W��H��7W����&p̎e�R�
�-�5�l��,��.�A;7Է�q������_@�WWn|�
۸EBqC�XfO|�o������ 
����j�	�gPo���y{ϟ
+��5���赫$��8pvx�ׁWZ��t��ښ�ì7
ըG��ۢ����6{"\�DCQ?k�'<v���S�f<�봜��A�Q4�f('���8�����<kfW��Enh��#\m����Y����z�
+�uvBt��3��,��:�9ns��n�
+�
+�5m"�j�2i�d�
s�
�Y��dU��R����
����ó�I|}�7�
�0Tr
Y8��
+��Jמ`��)n≛�'�pڇ����wh��1 ѫ�覀��Q�����=ۧ��=N\)?�Y��'���sT*"{�pD~��
�����	�ˠ�\
�+��|�^�A��U(�����Do/��}�(
�~>ҏ
+�1��_�ҺA�
����y��Y��۝�~7�f��[v�v+%T]�
�z�n�l.֛n�$���bC7�u ��W�z���}���b�Qu��;<����A_}���#���O}���R�g�����}
�a�d��C�n��Zy��c*����$��R��7W��7�M_�_�ز�+���F_ԔBB>����k�U�0�賳G����endstream
 endobj
-2213 0 obj <<
+2510 0 obj <<
 /Type /Page
-/Contents 2214 0 R
-/Resources 2212 0 R
+/Contents 2511 0 R
+/Resources 2509 0 R
 /MediaBox [0 0 612 792]
-/Parent 2184 0 R
+/Parent 2508 0 R
 >> endobj
-2215 0 obj <<
-/D [2213 0 R /XYZ 72 720 null]
+2512 0 obj <<
+/D [2510 0 R /XYZ 72 720 null]
 >> endobj
-2212 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F32 668 0 R >>
+2513 0 obj <<
+/D [2510 0 R /XYZ 72 698.015 null]
+>> endobj
+2514 0 obj <<
+/D [2510 0 R /XYZ 72 376.04 null]
+>> endobj
+2509 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2218 0 obj <<
-/Length 1969      
+2517 0 obj <<
+/Length 2144      
 /Filter /FlateDecode
 >>
 stream
-x��XKo�F��WA`1\��
�iS�=zhz���X�a��
�����fv%R�S��
D�wfgg�y,�_�z�!�N��� 8�*O"�$rb��i��a�w+e�+OY�+ϵ��ZY�M�f��ϫ_�~p�	�s�v][�<�~�~X��8��M��s�c��FV�W���MJ[�fR�e��k��
.~����jea&
-�:-����w섭
c:V���eY^
#����޶�j
��:+Ǣ�)q.�۾��m�V�͊�J
-�F�"r&������婠euE���N��O-���(q5K�m3(#ېbz@tʲ�
!�	��B�K
p�����z� �#7һ
Pl�F����v���8����ڊs]7��Na�G�(��|�i}١�]]�'�^'k�Qv���q�Y�2�/hk�(y�ߴ8ۀC��U�|��X
��N9�
9�����^"���*g�6ʎ
�����¦g���?<��m�"(�
-r|;�=-��<le6b%�G�Caϖ�NYrH��Id����ǺbC{��3c၃��(t2 B��fs=���� �F#�綮e�a�
-Ԡ--�A����ϼ��i�Q"�iV�4h$oRD3�$T��\��]�.���}��+D,ls��
�M�,��5�F˃=�}�,�}�������&
�\�wi�MA��^��ZC�b���h/���r ����1Lb���/E�3
k��$=�l�~�}Sa��q�v�U��:��@*����
-�;�D���
�9�
�H������-��~^��|.؅\�/�	+�Lٵ,�Q�
\�V^	� c &:F�����*���
-%�b��{��,ڰ:|�\�w�X��8u�a�Z�XS��Uō}�ŋ��
�HB����
:����ԍ0������c;�q��>;�$"��R(د��<l
-�P��k`�i+�N
-*���jRpզ�4����녶�*����٘����w�K�-�@��be2l)¬*�@*�"�B�)桕Ö{ ~����\�
 �^`��餌퍱�iR6�^@��
����EN�%���&�s�; �'���v1/*J^�_�E_��Hǁ�Y��4���3��PX�dR�Aod�(m(Rah�������]8شю����
5�20��.�h�g��:�s��VNn%�7#R�w��A�,�@8
%e��R�� 5H�x���侠�XM�jp�׍���R��
�L�	Z��%���&����z���~�E�.��P��'{qK�Y�rO�r-\�ʹl��w
+���r!4��`^��.� �
�Ш�Ӹ�F�з��	��MN�´��=;
Ms� 4�q,��䫉 n��P;�I�َ�ͼ��;�g;����(�g~�8��`�
�E�B�a��E��x����
J��E�ҁ��>ݒa
���MKb}���n�iK
-���d�Ý.l����͞��/�l
P�Z����;��x��39Z�qq��s`��Җ R���i��,�+Y

�\
7
���ϲ�.D��k���S��y��殖�
-
����D�/�Z&?N��&}���@DI�&�$�w�g��`+ݴIN�S��$�<\ҡ�-������RN7j݊
��0�b�[��r��

�#0H����T`ez�k��P�O#�����v�_��p�/�v�9���d-=ιS���#\�
-|ɹ�%>� }t9��/�l48�F,������fV����O
U0��9�kI�g��|*
4����q���_q.�+
[��a�>�93/�[�F�/����T���w���9���(�0b	}�>� �N�p�
62Ѭ�	�G�*S�C
���h���\�p���T�u��	��g
�b/?uf�&_���q�ax\�
����ղ�x<�����{�o
-���]4�rڳ��f��8�
uL��qF8��bP�"t
_K]0Iy�Mb����n~a����!)&
���^Ί!1�X�����?�.�endstream
+xڵY_o�ϧ0�j-v�%�ܴ)��	�"��{�����ZEBl��ʱ}��p8���d'@V�r�3��p�7�˳'zù<�	�NΖ'Z��ڰZ���?��J���ig�=�;Ћ6�W
�msR#�Pm����
��$HɄ�4��l�v�z�7p���}>�K-�����g�bM��,�����M�77���jC���%�ߌD6̭�'s�k.8�A�gs>\-�+�g���ϳNV=)c����
�NXt'
�(��L4-m��'�M&۴��f��̴iM5�b���s������ơ�#Y�BW+>��Y���^A߯f�ଁᷙR�YÃw4}�Gj,oPk�c�/��h�ˌ|
v�O�
���'s.��-��ޓ�>��U�
�
���#7h�����=vT��^����g�A~[�%�
�eb��N�4�N��q�S�#&��t�i��;)x��ጫ���
�7<H�K6l:H�q�_gsś�W�b����MtM���V5���Q���~�
��=�M޾z�[�����=%y��O
�q�l�%�:ߣ@Ey��h�wN~$Uwh�0��
+�T*j|�(�XGĜz����
#
�B�?A�?�yO�W������]��]�w�h��;�~}��P0�����w��EZ�3a�H��͕�:BI<}�K��6~_ӧ��,�iiop�YW�lv�壱��ɖ�J�p��W<�.{�/7�߹<�zm�<�2N
#��
�IP�r�����p��\(D�sJw���!�;k�.�&S-��˧���v�L׊�%��C�
+@"3v�2�4�#]LY�4��/6�x%ȃ
+�`���� �
�6<�.���
���x�nYb
`�4����@ۮ�Vt�ӆ��Q�q�ybX�.�j����]�$���o�����@�Lhg��c����x�Μj��O�> b�r5��mS^>Ž#�{:�Ƕ
��pVk�e�i0���
7|!�}dB�ߦ�����
�'*��jz�7|�Cܡ��U�^�^�>��
�\��H�,-��ϖ�p.���g˰5-4�[d���F��4�
t�Ui�I���cmpV��0�\�>�-���T����
����ܧnlA�q�!gGM�m�Oq���s��w���_�68���nX8���-2�w	
+�q�ĩ�;	Q��I�C�dzF9�@�o���Ba�i�%-N�st��#ꋘr���뷊S_�iϐv�����g�
gJ�,-���� ���p� �U��圤cJ��ūU�p�%~^�P�R��!���:-�p0s�L���ź
��R:{���kj��L�@8r�O1۵R�9�A)}(����cO����������A����-��[�+�Ɩ��n�s�$Ls
�B�Zʙ�ύ�
>��M`}k�

�|�J
<�����qX��
���[E�b�lGO��J�n5�a�9c��0�-�'�
YBZh�Y��o�>�7�L���Ҧ!
H�O�l;�ȶ���˥��?�\��v�cJ�٦��^vI<.,U7]�<^6��Y$z8^fI�ڌb�}i�:(	,�t�a,/Tw˷����׸��Y�e
0u�'���R'�޾�÷mB�)�p��I����M(�}��7�29D����D����KNk�F�ON
X�E���6�
"ũՉ�s3w��S|`߳s�%vڊ���q
�0��;�b��n��p6�;OȈ�N
�����?0���+T��Φ����%�$l+�BUW�	 ��}��0�bq�Ɏ�0t-(V��.c���C@��X��6_�P}ؘ�tPg<."���7<�:� [...]
׳67���TQx?w��\C���8uM�a:�ƻ$󇨱Wn����T��(�l�xsK�}�1�Y���[�wcku{�"�N��,��'��`V�B�s׳������'��*=endstream
 endobj
-2217 0 obj <<
+2516 0 obj <<
 /Type /Page
-/Contents 2218 0 R
-/Resources 2216 0 R
+/Contents 2517 0 R
+/Resources 2515 0 R
 /MediaBox [0 0 612 792]
-/Parent 2223 0 R
+/Parent 2508 0 R
+/Annots [ 2519 0 R 2522 0 R 2523 0 R 2524 0 R 2525 0 R 2526 0 R 2527 0 R 2528 0 R 2529 0 R 2530 0 R ]
+>> endobj
+2519 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [403.02 642.096 425.79 654.639]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.7) >>
+>> endobj
+2522 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [292.875 452.616 326.752 466.45]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2523 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [333.215 452.616 358.592 466.45]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2524 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [455.338 343.525 501.9 357.359]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Andrews91) >>
+>> endobj
+2525 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [507.837 343.525 533.214 357.359]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Andrews91) >>
+>> endobj
+2526 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [449.991 327.258 540.996 339.801]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
+>> endobj
+2527 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [147.912 312.142 175.883 325.977]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
+>> endobj
+2528 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [182.33 312.142 207.707 325.977]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
+>> endobj
+2529 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [239.774 201.059 273.651 214.893]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
+>> endobj
+2530 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [280.099 201.059 305.475 214.893]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2219 0 obj <<
-/D [2217 0 R /XYZ 72 720 null]
+2518 0 obj <<
+/D [2516 0 R /XYZ 72 720 null]
 >> endobj
-2220 0 obj <<
-/D [2217 0 R /XYZ 72 697.999 null]
+2520 0 obj <<
+/D [2516 0 R /XYZ 72 604.229 null]
 >> endobj
-2221 0 obj <<
-/D [2217 0 R /XYZ 72 338.804 null]
+2521 0 obj <<
+/D [2516 0 R /XYZ 72 522.028 null]
 >> endobj
-2222 0 obj <<
-/D [2217 0 R /XYZ 72 343.786 null]
+2531 0 obj <<
+/D [2516 0 R /XYZ 72 163.861 null]
 >> endobj
-2216 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F79 926 0 R >>
+2532 0 obj <<
+/D [2516 0 R /XYZ 72 168.842 null]
+>> endobj
+2515 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2226 0 obj <<
-/Length 2184      
+2536 0 obj <<
+/Length 532       
 /Filter /FlateDecode
 >>
 stream
-x��YK����W��|��C, 8Τ*�uٱ]N<9��>P"5C[��$ggw���n )a^�s�E ����OPo�f���l.˵�_m�
&3=7�2�`��i�cݬ�e�J��o�b់�5��ۺ��f�&˺ćl��{���7KiZ��ՙ���ww���{O���{����P׷0Q�

�;G	�����-��f���y"S�傔�l�(�/~�����vG�|I�¨TF��Wp� 
@i!�	7�
�E6;�Z&�T��{��o�zW������(�뷆���A׌YcI�O
������^�
|T�O�^j���k��q2��
-�߮�3����c�Jx�[��,H$��5��|G����p+�qb|��B
�=#Tsɤ�'�������;s�(�B���qG�����
���"�(n_����a��b�	u���	ƽL�����
-+�������O	mk��{L=���dA����h9�B�L�ێq����G,.����KT�U�do��^\�����x/��5u\�-8��I�����z-µ�	(W�D�<��u�W�i��

x�
-��3����/���n}�7��E����Y�8��_�V�կ�q(OY�I��
}�!f�!f�j�H���5�lp�M��,npc��Ă�uӓ�0xX�狐
>�K
�����
�׸�r��8���vE�A�)
~�63�
��'a�IR�,WD�;L������RaʓL �Qw���V��2�;�H���j�/�^}������
�
-!R�������J��P��R\uX�
��*B^ƅ���
�.Rf2�78a[2�j[!���R4��z� ���%!�^tT<p����LG`���EK��T<	��� _�/g<�~��)�v��(�Xf�$gB�
�+Ur(�v5�
-�y�9g:w���D��n�s��Pҁ!}�`���a���j�	L��;�f���O3�
1�<�",gVœ�R�H��Dj�x�Q
�H�I�>噂{���q@�Ӻe�jtJ��FE�{<0|���6a��$@1�qW4�����C+�!< 6��5�����}8 ��|�2��#���<�a)��<c"q�!�
i
-q4�;Lh;��舄
��
�4���I���
B5͡����Xl���lʈ
f����a�O]�z]l#�~
OC�)�g�z2v@�7nܒ���=w\7�Ծ������зU��N���`�1g|�
-�I
.)A�!�
�:�k1���*�q�M���W��
R�`��d�`�� ���K��i��N
-
c
�� �U@ތ� �d;�J�������I�g��[�
-ڏ��4�w�6�����h������,S9������9�Sc��Dۡ$�`�(:�
���$�+�����R�s���P�L��.
�4ʡ�ꐆ���>e�d,�}u���'�r�F��A�>r��=����[ZRk��6�(\��jj=H���
�eBA�C
S.���V�j�]�,F%�A`
��V��m�2�`��r�FW�k���\��}�9�ϊ��]_AD�,&2&�zfL�BB�{�����zN���K�5�Lɐ�/�(;

h���?R�Z1�}_��>��A�J��Ԯ��
n��_A\��ȏ��54�.�*xr1q�
闻k����	�!�޶5�L�@�@�jU1n�H�PА���_��봈?��@5˘��n�2�3"Ŵq-m6�s��c�<��
%�_:� �_;i�=
pl
[��s	��BO1�t��C4�������7BGO
,6���i �'�e�E(
�K��J��
�E�N{6n5�fuh���~�hˠ�珴ӆ�"���h=�
B{����9�L�p���BAB����<a��4���-{����e-����b)܋����;�q�_�z���
����!����W.�C��jh�NĀe�cRL�K��*��k�����U_�+���
-�C����*"q-�>I8�˫:5�
0~qȨѶ�h�w��f?����Ͽ�qh��
��"
-Q��������8��@+	Ē�7'�
��Ŀ��u�+vm3�I.�*)`|Pzu��"X
U/8(�s��!Z�t�������NtMr����t�����\�)U6���w
-������$�&��_Hr��$Es��.2p�<�wJ��Gendstream
+xڝU�N�0��+,V� �u� ��fvh�X�6�H��I�
+������q���²�{�9�>�^̢�+���*D	�,H�
���Z��/�>�q�V��\-��I��$�L�k0��k�R���uxN�0�G����iCW+f�t���Y�v]��,�]����Zv]
�Z�ir;�=���
�#(eS<%�I�G�
+��W�!r
�Qk:S�t�*A~
�n� j{���*����檱,�v�PK \e��'֥إg6��v;-a}4�� �
p�{�=0�P�0u���ۛ
W�ܔ�k�Q�N�˝:�!fxN�
+����o�[�� �qٸ}�z�75�� ��}$~�$�FMR����0E���
��/��>���l���O
�P+��}K�ܠbU
����]')@u>��M�������2����F7����I'N\�ç���mF�ļ�o�m��	>�/��n0g��<^��~<Xt9��B$�"�9�r�v�h�Dh�γLZ��
+�_
��*��е7�8
�/���Bb�)���ŔJ��t2���Lendstream
 endobj
-2225 0 obj <<
+2535 0 obj <<
 /Type /Page
-/Contents 2226 0 R
-/Resources 2224 0 R
+/Contents 2536 0 R
+/Resources 2534 0 R
 /MediaBox [0 0 612 792]
-/Parent 2223 0 R
->> endobj
-2227 0 obj <<
-/D [2225 0 R /XYZ 72 720 null]
->> endobj
-2228 0 obj <<
-/D [2225 0 R /XYZ 72 701.098 null]
->> endobj
-2229 0 obj <<
-/D [2225 0 R /XYZ 72 445.601 null]
+/Parent 2508 0 R
 >> endobj
-2224 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F78 924 0 R /F76 747 0 R /F48 554 0 R /F52 1472 0 R /F54 1447 0 R >>
+2533 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/logit-ExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2538 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2232 0 obj <<
-/Length 2293      
-/Filter /FlateDecode
+/Font << /F1 2539 0 R /F2 2540 0 R /F3 2541 0 R >>
+/ExtGState <<
+>>>>
+/Length 2542 0 R
 >>
 stream
-x��XKsܸ��W�R9p�4X 	r7{��u�Qdo��Vy�
�!FØCΒ
�r�|�p8&+'�\H<�@���|u��7&?�Rizv�>�
�fg&�E��@��裒������f��2qz���Ʋ����Dęr"�����::i�8��$R̷2"Ͻ��Xg,��3#
-��(T~��
-MRu`'#�2�{�DHcΖJ�����j��:�oK-Y�Iw�w`m��c��q@�$I�9��K����e,���5�;'"��\�T��i��
�.S9i�
�}����~�T�D!Md.�)��-�2~���[x�����*��l�����mZ�Ҹ=�Z:2ӿe�\�4?��R+����������t1EC�Bv�V|R�B���+�.@��
*�
P�
 8��g����337�T �B �7��:��#����&�~^IT60��C@��lΚd�
u��ȫ��\�����/}�Է�]u�-��m��+���UB�n
���z��wu
�ݢ�Xw-��o��N
mR�� ���w���e#o���x8�@�2����v��s�l�f�?�2ݞ�}�pj�GF�B�p�/��/@��2�i�h.��D_,��!1���o��v��A����(��,��x��£�
���ߡJ\tD�^ܠ��a�s�Wd�r�#Y�0t�qc����iF�5d\ [...]
i^Vv�Ϯ�)5�������Jc���ɾ��E7��Muh�?�f�6��4�g����c��G�Gi1�#؀���W
�ҁ����ؗ���`� ~T	@A��œ��Q*���
Q�	3��3ZL��@��!ZL�^Z�� -<�a��i:�0�\T �h7�FW
,�~�Hh:���s�jhP�#^�$ڷ��TR�.�
K�a	���uȆ
to�W�,iŰp�R��`w��������� �fT��ӑ���縂Q(
�j���D��sְ�H	����f�X+O��Ž��D������/�L��0�(�9�$�� �
-����Ƴ8? 6��x6��ʭ��L�&�8��)�ֺ֧��#��6B�|����V_�}υ��B`d��kP��7�#sJG�X�&H�$�,;b��P�Ou��H�j�+I��r�n;|C��AS�%�����
����L��oNUI��t5�ᷮ@?A�P|��s׳QV�����@jr��� ��ݮ�W�\����7kp�:��)>!ז
��|Y��c��H���
��1'������p�ߺ�rW���Yђ3^�n>�>��0@�Ӿ]Mu�d��y#"��ۑY
]]\��$E�O<��7��԰?��~�V={�~-�B�
o�$��z�D��w
&�<�}ݶ��m��HZ悧�:�)�{�ޛ.�V�h)3�y���WeO�j�q�,z)��ڽ���IA'w�����@6Fx�|�
�&�S��/����EG���������;�6%Y)��U׎�G/�#P��en����
���)Π��a��ֆ��h(xԜ�q�B'�_b鯅2���t7au���8����t���T�x��=\p�.��`|p�����׸�K�1X�#'�� #��<�cw
ۣ� ��jj�?yE ��#���.��A�>�o�p>#
��|��!=�׸��z��6%�M�ofe���g�����0�{8�V I�xvB�N�k���쥟=
P����`A�9b<N��)�P0�醌��Q���$�h��H+�Ř�s%� [...]
��
-�
-�up�7��]���o��`O��1��������i��
����m�[wJ
hP b
5�K}Ҡq���/�
b;~�endstream
+q
+Q q 0.00 216.00 432.00 216.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.40 78.84 54.55 re B
+57.60 343.85 281.16 54.55 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 301.36 Tm (Y = 0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 366.82 Tm (Y = 1) Tj
+ET
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 167.43 412.57 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.93 233.28 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 273.60 m 417.60 273.60 l S
+57.60 273.60 m 57.60 270.00 l S
+129.60 273.60 m 129.60 270.00 l S
+201.60 273.60 m 201.60 270.00 l S
+273.60 273.60 m 273.60 270.00 l S
+345.60 273.60 m 345.60 270.00 l S
+417.60 273.60 m 417.60 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 54.26 253.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 122.93 253.44 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 194.93 253.44 Tm (40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 266.93 253.44 Tm (60) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 338.93 253.44 Tm (80) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 407.59 253.44 Tm (100) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.40 l
+72.89 62.41 l
+73.54 62.41 l
+74.19 62.41 l
+74.85 62.42 l
+75.50 62.42 l
+76.15 62.43 l
+76.80 62.43 l
+77.46 62.44 l
+78.11 62.45 l
+78.76 62.46 l
+79.41 62.47 l
+80.07 62.48 l
+80.72 62.49 l
+81.37 62.51 l
+82.02 62.53 l
+82.68 62.55 l
+83.33 62.57 l
+83.98 62.59 l
+84.63 62.61 l
+85.28 62.64 l
+85.94 62.67 l
+86.59 62.70 l
+87.24 62.73 l
+87.89 62.76 l
+88.55 62.80 l
+89.20 62.84 l
+89.85 62.88 l
+90.50 62.92 l
+91.16 62.96 l
+91.81 63.00 l
+92.46 63.04 l
+93.11 63.08 l
+93.76 63.12 l
+94.42 63.16 l
+95.07 63.20 l
+95.72 63.24 l
+96.37 63.27 l
+97.03 63.30 l
+97.68 63.33 l
+98.33 63.36 l
+98.98 63.38 l
+99.64 63.41 l
+100.29 63.42 l
+100.94 63.44 l
+101.59 63.45 l
+102.24 63.46 l
+102.90 63.46 l
+103.55 63.47 l
+104.20 63.47 l
+104.85 63.46 l
+105.51 63.46 l
+106.16 63.45 l
+106.81 63.45 l
+107.46 63.44 l
+108.12 63.44 l
+108.77 63.43 l
+109.42 63.43 l
+110.07 63.43 l
+110.72 63.43 l
+111.38 63.43 l
+112.03 63.44 l
+112.68 63.45 l
+113.33 63.47 l
+113.99 63.49 l
+114.64 63.51 l
+115.29 63.54 l
+115.94 63.58 l
+116.60 63.61 l
+117.25 63.66 l
+117.90 63.70 l
+118.55 63.76 l
+119.20 63.81 l
+119.86 63.87 l
+120.51 63.93 l
+121.16 63.99 l
+121.81 64.06 l
+122.47 64.12 l
+123.12 64.19 l
+123.77 64.26 l
+124.42 64.33 l
+125.08 64.39 l
+125.73 64.46 l
+126.38 64.53 l
+127.03 64.60 l
+127.68 64.66 l
+128.34 64.73 l
+128.99 64.79 l
+129.64 64.86 l
+130.29 64.92 l
+130.95 64.99 l
+131.60 65.05 l
+132.25 65.12 l
+132.90 65.18 l
+133.56 65.25 l
+134.21 65.32 l
+134.86 65.40 l
+135.51 65.47 l
+136.16 65.55 l
+136.82 65.64 l
+137.47 65.73 l
+138.12 65.83 l
+138.77 65.93 l
+139.43 66.03 l
+140.08 66.15 l
+140.73 66.27 l
+141.38 66.40 l
+142.04 66.53 l
+142.69 66.68 l
+143.34 66.83 l
+143.99 66.99 l
+144.65 67.17 l
+145.30 67.35 l
+145.95 67.54 l
+146.60 67.74 l
+147.25 67.95 l
+147.91 68.18 l
+148.56 68.41 l
+149.21 68.66 l
+149.86 68.91 l
+150.52 69.18 l
+151.17 69.46 l
+151.82 69.75 l
+152.47 70.05 l
+153.13 70.37 l
+153.78 70.69 l
+154.43 71.03 l
+155.08 71.37 l
+155.73 71.73 l
+156.39 72.10 l
+157.04 72.48 l
+157.69 72.87 l
+158.34 73.27 l
+159.00 73.68 l
+159.65 74.10 l
+160.30 74.53 l
+160.95 74.97 l
+161.61 75.43 l
+162.26 75.89 l
+162.91 76.36 l
+163.56 76.84 l
+164.21 77.33 l
+164.87 77.83 l
+165.52 78.34 l
+166.17 78.86 l
+166.82 79.39 l
+167.48 79.93 l
+168.13 80.48 l
+168.78 81.04 l
+169.43 81.61 l
+170.09 82.18 l
+170.74 82.77 l
+171.39 83.37 l
+172.04 83.98 l
+172.69 84.60 l
+173.35 85.22 l
+174.00 85.86 l
+174.65 86.51 l
+175.30 87.16 l
+175.96 87.83 l
+176.61 88.50 l
+177.26 89.19 l
+177.91 89.88 l
+178.57 90.58 l
+179.22 91.30 l
+179.87 92.03 l
+180.52 92.76 l
+181.17 93.51 l
+181.83 94.27 l
+182.48 95.04 l
+183.13 95.82 l
+183.78 96.62 l
+184.44 97.43 l
+185.09 98.26 l
+185.74 99.10 l
+186.39 99.95 l
+187.05 100.82 l
+187.70 101.70 l
+188.35 102.59 l
+189.00 103.50 l
+189.65 104.42 l
+190.31 105.35 l
+190.96 106.29 l
+191.61 107.24 l
+192.26 108.20 l
+192.92 109.16 l
+193.57 110.13 l
+194.22 111.09 l
+194.87 112.06 l
+195.53 113.02 l
+196.18 113.98 l
+196.83 114.93 l
+197.48 115.87 l
+198.13 116.80 l
+198.79 117.73 l
+199.44 118.63 l
+200.09 119.53 l
+200.74 120.41 l
+201.40 121.27 l
+202.05 122.13 l
+202.70 122.97 l
+203.35 123.79 l
+204.01 124.61 l
+204.66 125.42 l
+205.31 126.22 l
+205.96 127.01 l
+206.62 127.81 l
+207.27 128.60 l
+207.92 129.39 l
+208.57 130.20 l
+209.22 131.00 l
+209.88 131.82 l
+210.53 132.66 l
+211.18 133.51 l
+211.83 134.38 l
+212.49 135.26 l
+213.14 136.16 l
+213.79 137.09 l
+214.44 138.04 l
+215.10 139.01 l
+215.75 140.00 l
+216.40 141.01 l
+217.05 142.04 l
+217.70 143.08 l
+218.36 144.15 l
+219.01 145.22 l
+219.66 146.30 l
+220.31 147.39 l
+220.97 148.49 l
+221.62 149.59 l
+222.27 150.68 l
+222.92 151.77 l
+223.58 152.85 l
+224.23 153.92 l
+224.88 154.98 l
+225.53 156.02 l
+226.18 157.04 l
+226.84 158.04 l
+227.49 159.01 l
+228.14 159.96 l
+228.79 160.88 l
+229.45 161.78 l
+230.10 162.66 l
+230.75 163.50 l
+231.40 164.32 l
+232.06 165.12 l
+232.71 165.89 l
+233.36 166.64 l
+234.01 167.37 l
+234.66 168.08 l
+235.32 168.78 l
+235.97 169.46 l
+236.62 170.13 l
+237.27 170.79 l
+237.93 171.44 l
+238.58 172.09 l
+239.23 172.72 l
+239.88 173.36 l
+240.54 173.99 l
+241.19 174.61 l
+241.84 175.23 l
+242.49 175.84 l
+243.14 176.45 l
+243.80 177.04 l
+244.45 177.63 l
+245.10 178.19 l
+245.75 178.73 l
+246.41 179.26 l
+247.06 179.76 l
+247.71 180.22 l
+248.36 180.66 l
+249.02 181.05 l
+249.67 181.40 l
+250.32 181.70 l
+250.97 181.96 l
+251.62 182.16 l
+252.28 182.30 l
+252.93 182.38 l
+253.58 182.40 l
+254.23 182.36 l
+254.89 182.26 l
+255.54 182.09 l
+256.19 181.85 l
+256.84 181.54 l
+257.50 181.18 l
+258.15 180.76 l
+258.80 180.27 l
+259.45 179.71 l
+260.10 179.10 l
+260.76 178.43 l
+261.41 177.72 l
+262.06 176.96 l
+262.71 176.14 l
+263.37 175.29 l
+264.02 174.40 l
+264.67 173.48 l
+265.32 172.53 l
+265.98 171.55 l
+266.63 170.54 l
+267.28 169.53 l
+267.93 168.50 l
+268.58 167.46 l
+269.24 166.42 l
+269.89 165.38 l
+270.54 164.33 l
+271.19 163.30 l
+271.85 162.27 l
+272.50 161.25 l
+273.15 160.25 l
+273.80 159.26 l
+274.46 158.29 l
+275.11 157.33 l
+275.76 156.40 l
+276.41 155.48 l
+277.07 154.58 l
+277.72 153.71 l
+278.37 152.85 l
+279.02 152.00 l
+279.67 151.17 l
+280.33 150.36 l
+280.98 149.56 l
+281.63 148.77 l
+282.28 147.99 l
+282.94 147.22 l
+283.59 146.45 l
+284.24 145.69 l
+284.89 144.93 l
+285.55 144.16 l
+286.20 143.40 l
+286.85 142.63 l
+287.50 141.85 l
+288.15 141.07 l
+288.81 140.28 l
+289.46 139.48 l
+290.11 138.68 l
+290.76 137.86 l
+291.42 137.03 l
+292.07 136.20 l
+292.72 135.36 l
+293.37 134.50 l
+294.03 133.64 l
+294.68 132.77 l
+295.33 131.89 l
+295.98 131.00 l
+296.63 130.11 l
+297.29 129.22 l
+297.94 128.32 l
+298.59 127.41 l
+299.24 126.50 l
+299.90 125.59 l
+300.55 124.68 l
+301.20 123.77 l
+301.85 122.86 l
+302.51 121.95 l
+303.16 121.04 l
+303.81 120.13 l
+304.46 119.22 l
+305.11 118.32 l
+305.77 117.42 l
+306.42 116.53 l
+307.07 115.63 l
+307.72 114.74 l
+308.38 113.86 l
+309.03 112.98 l
+309.68 112.10 l
+310.33 111.22 l
+310.99 110.35 l
+311.64 109.48 l
+312.29 108.62 l
+312.94 107.75 l
+313.59 106.89 l
+314.25 106.03 l
+314.90 105.18 l
+315.55 104.32 l
+316.20 103.46 l
+316.86 102.61 l
+317.51 101.75 l
+318.16 100.90 l
+318.81 100.04 l
+319.47 99.19 l
+320.12 98.33 l
+320.77 97.48 l
+321.42 96.62 l
+322.07 95.77 l
+322.73 94.92 l
+323.38 94.07 l
+324.03 93.22 l
+324.68 92.38 l
+325.34 91.55 l
+325.99 90.72 l
+326.64 89.89 l
+327.29 89.08 l
+327.95 88.27 l
+328.60 87.48 l
+329.25 86.70 l
+329.90 85.93 l
+330.55 85.18 l
+331.21 84.44 l
+331.86 83.71 l
+332.51 83.01 l
+333.16 82.32 l
+333.82 81.65 l
+334.47 81.00 l
+335.12 80.36 l
+335.77 79.75 l
+336.43 79.16 l
+337.08 78.59 l
+337.73 78.03 l
+338.38 77.49 l
+339.04 76.97 l
+339.69 76.48 l
+340.34 75.99 l
+340.99 75.53 l
+341.64 75.08 l
+342.30 74.64 l
+342.95 74.22 l
+343.60 73.82 l
+344.25 73.43 l
+344.91 73.04 l
+345.56 72.68 l
+346.21 72.32 l
+346.86 71.97 l
+347.52 71.64 l
+348.17 71.32 l
+348.82 71.00 l
+349.47 70.70 l
+350.12 70.41 l
+350.78 70.12 l
+351.43 69.85 l
+352.08 69.59 l
+352.73 69.34 l
+353.39 69.10 l
+354.04 68.87 l
+354.69 68.65 l
+355.34 68.43 l
+356.00 68.23 l
+356.65 68.05 l
+357.30 67.87 l
+357.95 67.70 l
+358.60 67.54 l
+359.26 67.38 l
+359.91 67.24 l
+360.56 67.11 l
+361.21 66.98 l
+361.87 66.86 l
+362.52 66.74 l
+363.17 66.63 l
+363.82 66.53 l
+364.48 66.42 l
+365.13 66.32 l
+365.78 66.22 l
+366.43 66.13 l
+367.08 66.03 l
+367.74 65.94 l
+368.39 65.84 l
+369.04 65.74 l
+369.69 65.65 l
+370.35 65.55 l
+371.00 65.45 l
+371.65 65.34 l
+372.30 65.24 l
+372.96 65.14 l
+373.61 65.03 l
+374.26 64.92 l
+374.91 64.81 l
+375.56 64.70 l
+376.22 64.59 l
+376.87 64.48 l
+377.52 64.37 l
+378.17 64.26 l
+378.83 64.15 l
+379.48 64.04 l
+380.13 63.94 l
+380.78 63.84 l
+381.44 63.74 l
+382.09 63.64 l
+382.74 63.54 l
+383.39 63.45 l
+384.04 63.37 l
+384.70 63.29 l
+385.35 63.21 l
+386.00 63.13 l
+386.65 63.06 l
+387.31 63.00 l
+387.96 62.94 l
+388.61 62.88 l
+389.26 62.83 l
+389.92 62.78 l
+390.57 62.74 l
+391.22 62.69 l
+391.87 62.66 l
+392.52 62.63 l
+393.18 62.60 l
+393.83 62.57 l
+394.48 62.55 l
+395.13 62.52 l
+395.79 62.51 l
+396.44 62.49 l
+397.09 62.47 l
+397.74 62.46 l
+398.40 62.45 l
+399.05 62.44 l
+399.70 62.43 l
+400.35 62.43 l
+401.01 62.42 l
+401.66 62.42 l
+402.31 62.41 l
+402.96 62.41 l
+403.61 62.41 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+116.67 57.60 m 364.22 57.60 l S
+116.67 57.60 m 116.67 54.00 l S
+199.19 57.60 m 199.19 54.00 l S
+281.71 57.60 m 281.71 54.00 l S
+364.22 57.60 m 364.22 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 105.00 37.44 Tm (0.74) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 187.51 37.44 Tm (0.76) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 270.03 37.44 Tm (0.78) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 352.55 37.44 Tm (0.80) Tj
+ET
+57.60 62.39 m 57.60 183.52 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 92.67 m 54.00 92.67 l S
+57.60 122.95 m 54.00 122.95 l S
+57.60 153.23 m 54.00 153.23 l S
+57.60 183.52 m 54.00 183.52 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 59.06 Tm (0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 86.00 Tm (10) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 116.28 Tm (20) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 146.56 Tm (30) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 176.84 Tm (40) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 196.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-2231 0 obj <<
-/Type /Page
-/Contents 2232 0 R
-/Resources 2230 0 R
-/MediaBox [0 0 612 792]
-/Parent 2223 0 R
->> endobj
-2233 0 obj <<
-/D [2231 0 R /XYZ 72 720 null]
->> endobj
-2234 0 obj <<
-/D [2231 0 R /XYZ 72 622.186 null]
->> endobj
-2235 0 obj <<
-/D [2231 0 R /XYZ 72 318.122 null]
+2538 0 obj
+<<
+/CreationDate (D:20070601024002)
+/ModDate (D:20070601024002)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2539 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2540 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2543 0 R
+>>
+endobj
+2541 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2543 0 R
+>>
+endobj
+2542 0 obj
+10545
+endobj
+2543 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2537 0 obj <<
+/D [2535 0 R /XYZ 72 720 null]
 >> endobj
-2230 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
+2534 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im15 2533 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2238 0 obj <<
-/Length 1895      
+2547 0 obj <<
+/Length 830       
 /Filter /FlateDecode
 >>
 stream
-x��XIo�6��W9I�ň�����I�"�qF݃f���ŕ4v���}
��f;Aڞz�����[�g�����3��@����Y�%~*�z�o�
\������'/�P�"��3��mrX�
����M���kA>M�Jͮ�]O�����녉r~p=� �1灗n9�z�`�硧�l��n�50� >�Rd��x2
-D��g^� e]^W�$H�bb� <﹝�8��,�
��΅V�GV�����Ⱥk� uƪ�u�n?b�
�^TL[KP^�ՅuR��/�q�r��]�ڰ�Dc��@xh0*�-�(&m�|4Dq���;M�c����t7���V7�n�]֩q'�˞��Rn�^�H�Pa���A�^��r&Jr���jc��с��~���B��'=�N�|o,vx���\� �[Pl�i,q4v����5y�%Y�q��ȕ����j��C�\�h��E����d��;Hx�mJf��cE쁤$[ ���	��;�N	9��B1�sծ�=�#*������ Դ<��y"H{�KȐlu�c���z2�A6*4L����j@
-m������Z
��H����d)>I�%�,'}��Փ���?�S�Ǚ� �����6�"�B&|,o�Z7d)����9_
B\�=�@90hv��{�B�ær>�_�h�-K�W�k�S`����_���ܹ
���������W�k �;���C��O��}�TD�\�\
��@��
�1��qx�ǚ�sg|����Ժ��l
�?���qxиHL�.[4Ձ�"WD���X��|�.�G
�qW �5�[�B�{$�7�}�B���T�4x8e.䋥P��1�l:7P��"�
��Ѳ�  k@��W�ԥ���o$<��H�4��/�~�~�F6��J�8�'�i�-��
-�,�F�
��)���~J�#�;��t��ָd���yˍ������f��0�;��
-
�K2��QxӉ�c��<"���aB�\�)cr�`np�^�q�s��b�}z�:�SL.��QS1��	ۃ�!X�!�~2��.d��P�qx@Z�������d�9��c
�|������ʗ�8����
/��"i<-��J d0��P��#�B�e���Z�
:T
b�����"�$K{�3�7][�| 'V�ō�l�v]�b\
T���^�����\�
(F���h����HB5
Y
-�	��P��(םYĴ
�&C��}^�@�;
AsD~�O��DÈfɫɤ����9����
C�X�ƽ9ď�`��
	i�Sf��?mF�J���"	Z2o�EҦ�J־'�ꬽ��w:�l�}��{m7�L��pB��&"U
F$6�p��Ih��=��(���.L���)hm�
"P�
��rq�x�������`�+��@���p#�Ad`�
���otMO�D��(Y�`
J6ʼnHRe����
&���e��FK�
�RO!�u5�d���r*��8�"��>
� ���=X��Y6JB�D.�[z��x��DN!��c����� Ax�]��A`@f:�#h
8Hi�a���
�@D��v�4���3���܈��
�ʄ����X����K��%�[~��@�J7����m[W��[�J�g��(���b0��J�
�~�@󝞱��8���
�\�	� �	���sTR갪��뱎`n��i-/TbB
q��!��&��r�R�k���ɔ0ۖ��
NVc�p���m��t��

������^���#d��NP<�v#ϭ�5
�9A
)T��(��>�.�?��JNY�
��M�t���ޗ�F*M���\����[*M���_H^X�̱�N�R/���}�=�Y�	z��I5[���l0��m�)0��ȻT���tU��k.#)�T��XJ��^&3�@���B~�O��f��x�7� ��endstream
+x��VKS�0��W�Ѓ=��
�bw�Δ3-�M/-=@"
+ӄ@lH�_����V���ރ���~���XLF�Ǻ��e�G�먰�h�e!d���X'*I�e���0�.�G��a\¨Yq�g����,Z��j/;dمTơ�!`����S�2Q�2JU!츠�GU݆
�$
�n�.3
+��/����/d.�5�g
����E_��\yWI�m�jde��q� ��dKb�t�
7�{c ����lq�5�>Ȋr�C�

�8�Y�@`&���a]�$�n�9�D�N	
8�q/%-_��X߄r���ܛ���eIa 2yJ�`������Zy �\1��{!��$�/��9?g��<gCW	4�?Vv
�
@i-J��.Ism�
���
Uo`��iE���7�t!�����V0�<�Q���u^��
آ9
[��Ū�l�fa�Wl:
����Kڙ0Ʌ4Lj�ޣn�.��-mz7mh�['��^R׼�/�m�����;�vs��/�Sl ��Ky�֞�\Xh,��� ����FG���2R�2FdFG�JasM��!���v�m�9hZ(
�?.�����Qt�*��qx>�ը�ɅT�4�5�3�s���
4�Ϥ�<(�5 ����5�<�\����kG�>�����	:39qY��g�1@��+��iIS���-��K��Y�}^w4e��ֆ��	�r
��	 3�YHZq��E6�?�j���������wa�
�?��GC�48��C��B�
�䦡6�rk��upm+/r&�6��<~�
��s
p�;R�,��@��H
�{�Dx]��bl3���(���EL������dUendstream
 endobj
-2237 0 obj <<
+2546 0 obj <<
 /Type /Page
-/Contents 2238 0 R
-/Resources 2236 0 R
+/Contents 2547 0 R
+/Resources 2545 0 R
 /MediaBox [0 0 612 792]
-/Parent 2223 0 R
-/Annots [ 2240 0 R 2241 0 R 2245 0 R ]
+/Parent 2508 0 R
 >> endobj
-2240 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [408.38 634.438 431.183 648.385]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.8) >>
->> endobj
-2241 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [266.624 619.992 295.28 633.939]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.10) >>
->> endobj
-2245 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [427.442 186.99 450.245 200.938]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.8) >>
->> endobj
-2239 0 obj <<
-/D [2237 0 R /XYZ 72 720 null]
->> endobj
-362 0 obj <<
-/D [2237 0 R /XYZ 72 720 null]
->> endobj
-2242 0 obj <<
-/D [2237 0 R /XYZ 72 582.756 null]
->> endobj
-2243 0 obj <<
-/D [2237 0 R /XYZ 72 514.969 null]
->> endobj
-2244 0 obj <<
-/D [2237 0 R /XYZ 72 398.364 null]
->> endobj
-2236 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+2544 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/logit-FirstDifferencesPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2550 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2248 0 obj <<
-/Length 2701      
-/Filter /FlateDecode
->>
-stream
-xڭY[s��~�_�T�Un�$b�6[;U�d����)�
�M

^�����s�n�7��-�t���\�#�v��Sw�T�Y{us�rYh��4raCG���V��7���b ���^E4fw*(C�y�{
����؄Qbd���M���v{
r�tj�a�7��nc�$
�4��?0ᗟ7�q�D�

Y��}]�t��c_
���6�i��}���g�5����$�;�m}�i
-&A���1I���V$���>G�;�
-7|�W&
�1Ј�8Nh���Fi:YI�}�^�p���B�X�ס��!(
Ԧ��(�5���TbC�y<�
��&
"
P��p�Ou{ǯq���Ǻk	A
K�;
Ꮞ�E}Y�c(�$8v�%
-��Vp����HԱ�C�3~��%|,	���O���:��#�b�y�� X.M^�h�{mC��7���	Wj�
�c���ҳ�DZa` '���n��a��;�?�����>���'l�Jx�U���y
�K'�CE,?�5YjA���'�"
n�"eu����L�ys�oQc����@`�?��{Ai�M�~3���xɯ�Jc�E/���&(�_�"��A�
:X�w�Q�a�oO}[�!���g��='��
x�F(�	�h �(�nD�����
���%'���NX�SHi�f��ya���!h�`�5�~�@��Q��y�7�Ĵ=�R��*:�a���t�Q{�hG%�����+
��8�m3�
�''+��n���
�lf5�1�c��o�
-#��>��{G<�b�Mk�Ĝ
��
F�B�e~Y�0�܅��ഏ�PC*����3�'<\��|�`�>��RZ�0����9cN�=}z��Vo�`�F�Nl�&���[��}bA��u�Z���c\��Nx�j0���9���ț\�vsS<�����7���+e��e�Ou�'��dž�*
-�r3AI
Gc:�8J��3�@v�9
�=hp|3h>�-l
���=�C7@�a����wN��8��t.����J�U�G�$.�!�zH��'8���N�{��[̍C�%�Y%�}�W�I��Cg}���#������&
-�Y5�i;�@K�Fo��\���Уq����c
\����^�$�3���F�{���f���
����� ��V�Bf�
-cg�l�[��$`��{�^O�����,4N�	зBY�B'ﶧ�5�#~k
C�I!uղ��	iK�g�x�
-�p�]�
-i�zIRq�E�`�&v
-�Ty��׏[>��:��-+,Pв=�</h��0�Nr1�nS�2���t�.��A)�F�K��L&)����
Cէy?nh��d�,M-��Hat���	5w��&�O�ڇ��aJ�Q�4�8�c_���Qd�E��'�3i\�O\�q��/)�Oy:�x�7�M.o��A͞�0�;����i|�q:NSa�5���n�8qԬ�L���_M���$ujH��+��
N{�X�heY�䶜#B���7~|��Eb��9.!�
-�,�c�XP
�����8���8�/��D�
�i?p
�Ɯ��dd<h�Y���a��EP8�Q�%����Թ�ӱ�d�4�
.A'�x
���y#�u¢�9��n�"��J�HW��E=S�d��UI�:'t�2�K
�.Ϙ� 4�Tu��P
l�s�A(G}�Z.T�H
->#?���
^d���$r �������&O��)������[�������U�;�ZG���z�(���{Fѡgb��;M�~���G�\;02��z`�m9QKo
g�%;�
�S �L>�
{��Y(�ջ��À�9ҋW]�eAv�.�M�U4����-�x�
\�ɛ���%�bT��
�I��ؓ!�5��_A�;�ɖ)�<�=��a�)�05�Q�&��Iy�]Lv�cJÝs���+
��dD����FJ&N��'�ʅ�a{y�
p?
�V�����޺������%��4:rղj8;@��
-M�	�%E3<ttg��/y .B�'�K�h�wܿ2��������\���%1e

|ܹe���W[q��k�7NCq}�.8��"4�I
��
A�<�A�&�]
�1��/x�\V;� �]c1����r*Ǘs�
�!��̬���Yg�fN�<kq�}��P�fH��<�_��
���sp�M��l�c
�����h���x�[�J
�v@
B�V���R�\4Ro�
��� z
�kV��&B�g&������t�׹������S��B�>
�0�;5��
��t/5C+�T
¦�\���|�����X=
͔?D5��<�*
ܠ~���^ݨ��6ͳ&L��h�]jBW��5
����d�Y�aW`���0K�*���m>�e��z����Ž��"�p�L�R�����t�o�g�6
�O]
`��t[�o(��"a}�9�
e��&	S
����
-י9M�����n�ƪ�'B�.o��W��VD2^��~I���<MB��_�cdg���`����F�
�eI�#�g��P�K�eP���
#��Â�$��-�-�
����l
������+��8��c����IPU���ռ���M�r�Ŧ⎆6p'O���_'uy�3Jb
�E��sg���o}x{!���,�D������R���D�
�r��
���=��e��J�CG�
~&	�5s�P�]�z��Q��*T�.�i"SDtlJ�~�߰���௳�i&����J�BZ���9.�R?����N�[#endstream
+/Font << /F1 2551 0 R /F2 2552 0 R /F3 2553 0 R >>
+/ExtGState <<
+>>>>
+/Length 2554 0 R
+>>
+stream
+q
+Q q 0.00 324.00 432.00 108.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 363.90 70.36 21.45 re B
+38.02 389.65 314.12 21.45 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 13.41 371.76 Tm (Y = 0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 13.41 397.50 Tm (Y = 1) Tj
+ET
+Q q 0.00 324.00 432.00 108.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 418.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 183.81 335.40 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 362.02 m 422.50 362.02 l S
+38.02 362.02 m 38.02 359.64 l S
+114.91 362.02 m 114.91 359.64 l S
+191.81 362.02 m 191.81 359.64 l S
+268.70 362.02 m 268.70 359.64 l S
+345.60 362.02 m 345.60 359.64 l S
+422.50 362.02 m 422.50 359.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 35.79 348.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 110.46 348.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 187.36 348.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 264.26 348.71 Tm (60) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 341.15 348.71 Tm (80) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 415.82 348.71 Tm (100) Tj
+ET
+Q q 38.02 254.02 384.48 50.98 re W n
+Q q 38.02 254.02 384.48 50.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 255.90 m
+52.95 255.90 l
+53.65 255.91 l
+54.35 255.91 l
+55.04 255.91 l
+55.74 255.91 l
+56.44 255.91 l
+57.13 255.91 l
+57.83 255.91 l
+58.53 255.92 l
+59.22 255.92 l
+59.92 255.92 l
+60.62 255.92 l
+61.31 255.93 l
+62.01 255.93 l
+62.71 255.94 l
+63.40 255.94 l
+64.10 255.95 l
+64.80 255.95 l
+65.49 255.96 l
+66.19 255.97 l
+66.89 255.98 l
+67.58 255.98 l
+68.28 255.99 l
+68.98 256.00 l
+69.67 256.01 l
+70.37 256.03 l
+71.07 256.04 l
+71.76 256.05 l
+72.46 256.06 l
+73.16 256.08 l
+73.85 256.09 l
+74.55 256.10 l
+75.25 256.12 l
+75.94 256.13 l
+76.64 256.15 l
+77.34 256.16 l
+78.03 256.18 l
+78.73 256.19 l
+79.43 256.21 l
+80.12 256.22 l
+80.82 256.23 l
+81.52 256.25 l
+82.21 256.26 l
+82.91 256.28 l
+83.61 256.29 l
+84.30 256.30 l
+85.00 256.32 l
+85.70 256.33 l
+86.39 256.35 l
+87.09 256.36 l
+87.79 256.37 l
+88.48 256.39 l
+89.18 256.40 l
+89.88 256.42 l
+90.57 256.44 l
+91.27 256.46 l
+91.97 256.48 l
+92.66 256.50 l
+93.36 256.52 l
+94.06 256.54 l
+94.75 256.57 l
+95.45 256.60 l
+96.15 256.63 l
+96.84 256.66 l
+97.54 256.70 l
+98.24 256.73 l
+98.93 256.77 l
+99.63 256.82 l
+100.33 256.86 l
+101.02 256.91 l
+101.72 256.96 l
+102.42 257.01 l
+103.11 257.06 l
+103.81 257.11 l
+104.51 257.17 l
+105.20 257.23 l
+105.90 257.29 l
+106.60 257.35 l
+107.29 257.41 l
+107.99 257.48 l
+108.69 257.54 l
+109.38 257.61 l
+110.08 257.68 l
+110.78 257.75 l
+111.47 257.81 l
+112.17 257.88 l
+112.87 257.95 l
+113.56 258.02 l
+114.26 258.10 l
+114.96 258.17 l
+115.65 258.24 l
+116.35 258.31 l
+117.05 258.39 l
+117.74 258.46 l
+118.44 258.53 l
+119.14 258.60 l
+119.83 258.68 l
+120.53 258.75 l
+121.23 258.82 l
+121.92 258.89 l
+122.62 258.96 l
+123.32 259.03 l
+124.01 259.10 l
+124.71 259.17 l
+125.41 259.24 l
+126.10 259.30 l
+126.80 259.37 l
+127.50 259.43 l
+128.19 259.49 l
+128.89 259.56 l
+129.59 259.62 l
+130.28 259.68 l
+130.98 259.75 l
+131.68 259.81 l
+132.37 259.88 l
+133.07 259.95 l
+133.77 260.02 l
+134.46 260.09 l
+135.16 260.17 l
+135.86 260.25 l
+136.55 260.34 l
+137.25 260.44 l
+137.95 260.54 l
+138.64 260.65 l
+139.34 260.77 l
+140.04 260.90 l
+140.73 261.03 l
+141.43 261.18 l
+142.13 261.33 l
+142.82 261.49 l
+143.52 261.66 l
+144.22 261.84 l
+144.91 262.03 l
+145.61 262.23 l
+146.31 262.43 l
+147.00 262.65 l
+147.70 262.87 l
+148.40 263.09 l
+149.09 263.32 l
+149.79 263.56 l
+150.49 263.79 l
+151.18 264.04 l
+151.88 264.29 l
+152.58 264.54 l
+153.27 264.79 l
+153.97 265.04 l
+154.67 265.30 l
+155.36 265.56 l
+156.06 265.82 l
+156.76 266.09 l
+157.45 266.35 l
+158.15 266.62 l
+158.85 266.90 l
+159.54 267.17 l
+160.24 267.45 l
+160.94 267.74 l
+161.63 268.03 l
+162.33 268.33 l
+163.03 268.63 l
+163.72 268.94 l
+164.42 269.26 l
+165.12 269.58 l
+165.81 269.92 l
+166.51 270.26 l
+167.21 270.60 l
+167.90 270.96 l
+168.60 271.32 l
+169.30 271.69 l
+169.99 272.07 l
+170.69 272.46 l
+171.39 272.86 l
+172.08 273.26 l
+172.78 273.67 l
+173.48 274.08 l
+174.17 274.51 l
+174.87 274.93 l
+175.57 275.37 l
+176.26 275.81 l
+176.96 276.26 l
+177.66 276.71 l
+178.35 277.16 l
+179.05 277.62 l
+179.75 278.09 l
+180.44 278.55 l
+181.14 279.02 l
+181.84 279.49 l
+182.53 279.96 l
+183.23 280.44 l
+183.93 280.91 l
+184.62 281.38 l
+185.32 281.84 l
+186.02 282.30 l
+186.71 282.76 l
+187.41 283.21 l
+188.11 283.65 l
+188.80 284.08 l
+189.50 284.50 l
+190.20 284.91 l
+190.89 285.31 l
+191.59 285.69 l
+192.29 286.07 l
+192.98 286.42 l
+193.68 286.76 l
+194.38 287.09 l
+195.07 287.40 l
+195.77 287.70 l
+196.47 287.99 l
+197.16 288.26 l
+197.86 288.53 l
+198.56 288.78 l
+199.25 289.02 l
+199.95 289.26 l
+200.65 289.49 l
+201.34 289.71 l
+202.04 289.93 l
+202.74 290.15 l
+203.43 290.37 l
+204.13 290.60 l
+204.83 290.82 l
+205.52 291.06 l
+206.22 291.29 l
+206.92 291.54 l
+207.61 291.79 l
+208.31 292.06 l
+209.01 292.33 l
+209.70 292.62 l
+210.40 292.92 l
+211.10 293.23 l
+211.79 293.55 l
+212.49 293.89 l
+213.19 294.23 l
+213.88 294.59 l
+214.58 294.96 l
+215.28 295.33 l
+215.97 295.72 l
+216.67 296.11 l
+217.37 296.50 l
+218.06 296.90 l
+218.76 297.30 l
+219.46 297.70 l
+220.15 298.10 l
+220.85 298.49 l
+221.55 298.88 l
+222.24 299.26 l
+222.94 299.63 l
+223.64 299.98 l
+224.33 300.32 l
+225.03 300.64 l
+225.73 300.95 l
+226.42 301.24 l
+227.12 301.50 l
+227.82 301.75 l
+228.51 301.97 l
+229.21 302.17 l
+229.91 302.35 l
+230.60 302.51 l
+231.30 302.64 l
+232.00 302.76 l
+232.69 302.85 l
+233.39 302.93 l
+234.09 302.99 l
+234.78 303.04 l
+235.48 303.07 l
+236.18 303.09 l
+236.87 303.10 l
+237.57 303.10 l
+238.27 303.10 l
+238.96 303.10 l
+239.66 303.09 l
+240.36 303.08 l
+241.05 303.06 l
+241.75 303.05 l
+242.45 303.04 l
+243.14 303.03 l
+243.84 303.02 l
+244.54 303.01 l
+245.23 303.00 l
+245.93 302.98 l
+246.63 302.96 l
+247.32 302.94 l
+248.02 302.91 l
+248.72 302.87 l
+249.41 302.82 l
+250.11 302.75 l
+250.81 302.67 l
+251.50 302.58 l
+252.20 302.46 l
+252.90 302.33 l
+253.59 302.18 l
+254.29 302.00 l
+254.99 301.81 l
+255.68 301.59 l
+256.38 301.35 l
+257.08 301.09 l
+257.77 300.81 l
+258.47 300.50 l
+259.17 300.18 l
+259.86 299.84 l
+260.56 299.48 l
+261.26 299.10 l
+261.95 298.71 l
+262.65 298.30 l
+263.35 297.89 l
+264.04 297.46 l
+264.74 297.02 l
+265.44 296.57 l
+266.13 296.12 l
+266.83 295.66 l
+267.53 295.19 l
+268.22 294.72 l
+268.92 294.25 l
+269.62 293.77 l
+270.31 293.30 l
+271.01 292.82 l
+271.71 292.34 l
+272.40 291.86 l
+273.10 291.38 l
+273.80 290.90 l
+274.49 290.42 l
+275.19 289.94 l
+275.89 289.47 l
+276.58 288.99 l
+277.28 288.52 l
+277.98 288.05 l
+278.67 287.59 l
+279.37 287.12 l
+280.07 286.66 l
+280.76 286.21 l
+281.46 285.75 l
+282.16 285.30 l
+282.85 284.85 l
+283.55 284.41 l
+284.25 283.97 l
+284.94 283.53 l
+285.64 283.10 l
+286.34 282.67 l
+287.03 282.24 l
+287.73 281.82 l
+288.43 281.41 l
+289.12 281.00 l
+289.82 280.59 l
+290.52 280.19 l
+291.21 279.80 l
+291.91 279.41 l
+292.61 279.03 l
+293.30 278.65 l
+294.00 278.29 l
+294.70 277.92 l
+295.39 277.57 l
+296.09 277.23 l
+296.79 276.89 l
+297.48 276.55 l
+298.18 276.23 l
+298.88 275.90 l
+299.57 275.59 l
+300.27 275.28 l
+300.97 274.97 l
+301.67 274.67 l
+302.36 274.37 l
+303.06 274.07 l
+303.76 273.77 l
+304.45 273.47 l
+305.15 273.17 l
+305.85 272.87 l
+306.54 272.56 l
+307.24 272.25 l
+307.94 271.94 l
+308.63 271.62 l
+309.33 271.29 l
+310.03 270.97 l
+310.72 270.63 l
+311.42 270.29 l
+312.12 269.94 l
+312.81 269.58 l
+313.51 269.22 l
+314.21 268.85 l
+314.90 268.48 l
+315.60 268.10 l
+316.30 267.71 l
+316.99 267.32 l
+317.69 266.93 l
+318.39 266.53 l
+319.08 266.14 l
+319.78 265.74 l
+320.48 265.34 l
+321.17 264.94 l
+321.87 264.54 l
+322.57 264.15 l
+323.26 263.76 l
+323.96 263.37 l
+324.66 262.99 l
+325.35 262.62 l
+326.05 262.25 l
+326.75 261.90 l
+327.44 261.56 l
+328.14 261.22 l
+328.84 260.90 l
+329.53 260.59 l
+330.23 260.29 l
+330.93 260.01 l
+331.62 259.74 l
+332.32 259.48 l
+333.02 259.23 l
+333.71 259.01 l
+334.41 258.79 l
+335.11 258.59 l
+335.80 258.40 l
+336.50 258.22 l
+337.20 258.06 l
+337.89 257.91 l
+338.59 257.76 l
+339.29 257.63 l
+339.98 257.51 l
+340.68 257.40 l
+341.38 257.30 l
+342.07 257.20 l
+342.77 257.11 l
+343.47 257.03 l
+344.16 256.96 l
+344.86 256.89 l
+345.56 256.82 l
+346.25 256.76 l
+346.95 256.70 l
+347.65 256.65 l
+348.34 256.60 l
+349.04 256.55 l
+349.74 256.51 l
+350.43 256.47 l
+351.13 256.43 l
+351.83 256.39 l
+352.52 256.36 l
+353.22 256.32 l
+353.92 256.29 l
+354.61 256.26 l
+355.31 256.24 l
+356.01 256.21 l
+356.70 256.19 l
+357.40 256.17 l
+358.10 256.15 l
+358.79 256.13 l
+359.49 256.12 l
+360.19 256.10 l
+360.88 256.09 l
+361.58 256.08 l
+362.28 256.07 l
+362.97 256.07 l
+363.67 256.06 l
+364.37 256.06 l
+365.06 256.06 l
+365.76 256.06 l
+366.46 256.06 l
+367.15 256.06 l
+367.85 256.07 l
+368.55 256.07 l
+369.24 256.07 l
+369.94 256.08 l
+370.64 256.08 l
+371.33 256.09 l
+372.03 256.09 l
+372.73 256.10 l
+373.42 256.10 l
+374.12 256.11 l
+374.82 256.11 l
+375.51 256.12 l
+376.21 256.12 l
+376.91 256.12 l
+377.60 256.12 l
+378.30 256.12 l
+379.00 256.12 l
+379.69 256.12 l
+380.39 256.11 l
+381.09 256.11 l
+381.78 256.11 l
+382.48 256.10 l
+383.18 256.09 l
+383.87 256.09 l
+384.57 256.08 l
+385.27 256.07 l
+385.96 256.06 l
+386.66 256.05 l
+387.36 256.04 l
+388.05 256.04 l
+388.75 256.03 l
+389.45 256.02 l
+390.14 256.01 l
+390.84 256.00 l
+391.54 255.99 l
+392.23 255.98 l
+392.93 255.98 l
+393.63 255.97 l
+394.32 255.96 l
+395.02 255.95 l
+395.72 255.95 l
+396.41 255.94 l
+397.11 255.94 l
+397.81 255.93 l
+398.50 255.93 l
+399.20 255.93 l
+399.90 255.92 l
+400.59 255.92 l
+401.29 255.92 l
+401.99 255.91 l
+402.68 255.91 l
+403.38 255.91 l
+404.08 255.91 l
+404.77 255.91 l
+405.47 255.91 l
+406.17 255.91 l
+406.86 255.91 l
+407.56 255.90 l
+408.26 255.90 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+46.50 254.02 m 396.45 254.02 l S
+46.50 254.02 m 46.50 251.64 l S
+133.98 254.02 m 133.98 251.64 l S
+221.47 254.02 m 221.47 251.64 l S
+308.96 254.02 m 308.96 251.64 l S
+396.45 254.02 m 396.45 251.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 38.71 240.71 Tm (0.78) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 126.20 240.71 Tm (0.80) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 213.69 240.71 Tm (0.82) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 301.18 240.71 Tm (0.84) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 388.66 240.71 Tm (0.86) Tj
+ET
+38.02 255.90 m 38.02 293.12 l S
+38.02 255.90 m 35.64 255.90 l S
+38.02 268.31 m 35.64 268.31 l S
+38.02 280.71 m 35.64 280.71 l S
+38.02 293.12 m 35.64 293.12 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 253.68 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 276.27 Tm (20) Tj
+ET
+38.02 254.02 m
+422.50 254.02 l
+422.50 304.99 l
+38.02 304.99 l
+38.02 254.02 l
+S
+Q q 0.00 216.00 432.00 108.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 310.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 266.17 Tm (Density) Tj
+ET
+Q q 38.02 254.02 384.48 50.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 255.90 m 422.50 255.90 l S
+Q q 38.02 146.02 384.48 50.98 re W n
+Q q 38.02 146.02 384.48 50.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 147.90 m
+52.95 147.90 l
+53.65 147.91 l
+54.35 147.91 l
+55.04 147.91 l
+55.74 147.91 l
+56.44 147.91 l
+57.13 147.91 l
+57.83 147.91 l
+58.53 147.91 l
+59.22 147.92 l
+59.92 147.92 l
+60.62 147.92 l
+61.31 147.93 l
+62.01 147.93 l
+62.71 147.94 l
+63.40 147.94 l
+64.10 147.95 l
+64.80 147.95 l
+65.49 147.96 l
+66.19 147.97 l
+66.89 147.98 l
+67.58 147.99 l
+68.28 148.00 l
+68.98 148.01 l
+69.67 148.03 l
+70.37 148.04 l
+71.07 148.06 l
+71.76 148.08 l
+72.46 148.10 l
+73.16 148.12 l
+73.85 148.14 l
+74.55 148.16 l
+75.25 148.19 l
+75.94 148.22 l
+76.64 148.24 l
+77.34 148.28 l
+78.03 148.31 l
+78.73 148.34 l
+79.43 148.38 l
+80.12 148.42 l
+80.82 148.46 l
+81.52 148.50 l
+82.21 148.54 l
+82.91 148.58 l
+83.61 148.63 l
+84.30 148.68 l
+85.00 148.72 l
+85.70 148.77 l
+86.39 148.82 l
+87.09 148.87 l
+87.79 148.92 l
+88.48 148.96 l
+89.18 149.01 l
+89.88 149.06 l
+90.57 149.10 l
+91.27 149.14 l
+91.97 149.19 l
+92.66 149.22 l
+93.36 149.26 l
+94.06 149.30 l
+94.75 149.33 l
+95.45 149.36 l
+96.15 149.38 l
+96.84 149.40 l
+97.54 149.42 l
+98.24 149.44 l
+98.93 149.45 l
+99.63 149.46 l
+100.33 149.47 l
+101.02 149.47 l
+101.72 149.48 l
+102.42 149.48 l
+103.11 149.48 l
+103.81 149.48 l
+104.51 149.47 l
+105.20 149.47 l
+105.90 149.47 l
+106.60 149.47 l
+107.29 149.46 l
+107.99 149.46 l
+108.69 149.46 l
+109.38 149.47 l
+110.08 149.47 l
+110.78 149.48 l
+111.47 149.49 l
+112.17 149.50 l
+112.87 149.51 l
+113.56 149.53 l
+114.26 149.55 l
+114.96 149.58 l
+115.65 149.61 l
+116.35 149.64 l
+117.05 149.68 l
+117.74 149.72 l
+118.44 149.76 l
+119.14 149.80 l
+119.83 149.85 l
+120.53 149.91 l
+121.23 149.96 l
+121.92 150.03 l
+122.62 150.09 l
+123.32 150.16 l
+124.01 150.23 l
+124.71 150.30 l
+125.41 150.38 l
+126.10 150.47 l
+126.80 150.55 l
+127.50 150.64 l
+128.19 150.74 l
+128.89 150.84 l
+129.59 150.94 l
+130.28 151.05 l
+130.98 151.16 l
+131.68 151.28 l
+132.37 151.40 l
+133.07 151.53 l
+133.77 151.66 l
+134.46 151.80 l
+135.16 151.94 l
+135.86 152.09 l
+136.55 152.25 l
+137.25 152.41 l
+137.95 152.58 l
+138.64 152.75 l
+139.34 152.93 l
+140.04 153.11 l
+140.73 153.30 l
+141.43 153.49 l
+142.13 153.69 l
+142.82 153.90 l
+143.52 154.11 l
+144.22 154.32 l
+144.91 154.54 l
+145.61 154.76 l
+146.31 154.99 l
+147.00 155.22 l
+147.70 155.45 l
+148.40 155.69 l
+149.09 155.93 l
+149.79 156.17 l
+150.49 156.41 l
+151.18 156.66 l
+151.88 156.91 l
+152.58 157.16 l
+153.27 157.42 l
+153.97 157.68 l
+154.67 157.94 l
+155.36 158.21 l
+156.06 158.48 l
+156.76 158.75 l
+157.45 159.03 l
+158.15 159.31 l
+158.85 159.60 l
+159.54 159.89 l
+160.24 160.18 l
+160.94 160.49 l
+161.63 160.79 l
+162.33 161.11 l
+163.03 161.43 l
+163.72 161.75 l
+164.42 162.08 l
+165.12 162.41 l
+165.81 162.75 l
+166.51 163.10 l
+167.21 163.44 l
+167.90 163.79 l
+168.60 164.14 l
+169.30 164.50 l
+169.99 164.86 l
+170.69 165.21 l
+171.39 165.57 l
+172.08 165.93 l
+172.78 166.29 l
+173.48 166.64 l
+174.17 167.00 l
+174.87 167.35 l
+175.57 167.70 l
+176.26 168.06 l
+176.96 168.41 l
+177.66 168.76 l
+178.35 169.11 l
+179.05 169.46 l
+179.75 169.81 l
+180.44 170.16 l
+181.14 170.51 l
+181.84 170.86 l
+182.53 171.22 l
+183.23 171.58 l
+183.93 171.95 l
+184.62 172.32 l
+185.32 172.69 l
+186.02 173.08 l
+186.71 173.46 l
+187.41 173.86 l
+188.11 174.26 l
+188.80 174.67 l
+189.50 175.08 l
+190.20 175.51 l
+190.89 175.93 l
+191.59 176.37 l
+192.29 176.80 l
+192.98 177.24 l
+193.68 177.69 l
+194.38 178.14 l
+195.07 178.58 l
+195.77 179.03 l
+196.47 179.48 l
+197.16 179.93 l
+197.86 180.37 l
+198.56 180.82 l
+199.25 181.25 l
+199.95 181.69 l
+200.65 182.12 l
+201.34 182.54 l
+202.04 182.96 l
+202.74 183.37 l
+203.43 183.78 l
+204.13 184.18 l
+204.83 184.57 l
+205.52 184.97 l
+206.22 185.35 l
+206.92 185.74 l
+207.61 186.11 l
+208.31 186.49 l
+209.01 186.86 l
+209.70 187.24 l
+210.40 187.61 l
+211.10 187.97 l
+211.79 188.34 l
+212.49 188.71 l
+213.19 189.07 l
+213.88 189.44 l
+214.58 189.80 l
+215.28 190.17 l
+215.97 190.53 l
+216.67 190.88 l
+217.37 191.23 l
+218.06 191.58 l
+218.76 191.92 l
+219.46 192.25 l
+220.15 192.58 l
+220.85 192.89 l
+221.55 193.18 l
+222.24 193.47 l
+222.94 193.73 l
+223.64 193.98 l
+224.33 194.20 l
+225.03 194.41 l
+225.73 194.59 l
+226.42 194.75 l
+227.12 194.87 l
+227.82 194.97 l
+228.51 195.04 l
+229.21 195.09 l
+229.91 195.10 l
+230.60 195.09 l
+231.30 195.05 l
+232.00 194.98 l
+232.69 194.88 l
+233.39 194.76 l
+234.09 194.62 l
+234.78 194.46 l
+235.48 194.28 l
+236.18 194.08 l
+236.87 193.87 l
+237.57 193.65 l
+238.27 193.43 l
+238.96 193.19 l
+239.66 192.96 l
+240.36 192.73 l
+241.05 192.51 l
+241.75 192.29 l
+242.45 192.08 l
+243.14 191.88 l
+243.84 191.69 l
+244.54 191.52 l
+245.23 191.36 l
+245.93 191.22 l
+246.63 191.09 l
+247.32 190.98 l
+248.02 190.88 l
+248.72 190.80 l
+249.41 190.73 l
+250.11 190.67 l
+250.81 190.63 l
+251.50 190.58 l
+252.20 190.54 l
+252.90 190.51 l
+253.59 190.47 l
+254.29 190.43 l
+254.99 190.38 l
+255.68 190.33 l
+256.38 190.26 l
+257.08 190.18 l
+257.77 190.08 l
+258.47 189.96 l
+259.17 189.83 l
+259.86 189.67 l
+260.56 189.48 l
+261.26 189.27 l
+261.95 189.03 l
+262.65 188.77 l
+263.35 188.49 l
+264.04 188.17 l
+264.74 187.83 l
+265.44 187.47 l
+266.13 187.08 l
+266.83 186.67 l
+267.53 186.23 l
+268.22 185.78 l
+268.92 185.31 l
+269.62 184.82 l
+270.31 184.32 l
+271.01 183.80 l
+271.71 183.27 l
+272.40 182.74 l
+273.10 182.19 l
+273.80 181.65 l
+274.49 181.09 l
+275.19 180.54 l
+275.89 179.99 l
+276.58 179.44 l
+277.28 178.88 l
+277.98 178.34 l
+278.67 177.79 l
+279.37 177.26 l
+280.07 176.72 l
+280.76 176.20 l
+281.46 175.68 l
+282.16 175.16 l
+282.85 174.66 l
+283.55 174.16 l
+284.25 173.66 l
+284.94 173.18 l
+285.64 172.70 l
+286.34 172.24 l
+287.03 171.77 l
+287.73 171.32 l
+288.43 170.88 l
+289.12 170.44 l
+289.82 170.01 l
+290.52 169.59 l
+291.21 169.18 l
+291.91 168.78 l
+292.61 168.39 l
+293.30 168.02 l
+294.00 167.65 l
+294.70 167.29 l
+295.39 166.95 l
+296.09 166.61 l
+296.79 166.29 l
+297.48 165.99 l
+298.18 165.69 l
+298.88 165.41 l
+299.57 165.14 l
+300.27 164.88 l
+300.97 164.64 l
+301.67 164.40 l
+302.36 164.18 l
+303.06 163.97 l
+303.76 163.76 l
+304.45 163.57 l
+305.15 163.38 l
+305.85 163.20 l
+306.54 163.03 l
+307.24 162.86 l
+307.94 162.69 l
+308.63 162.52 l
+309.33 162.35 l
+310.03 162.19 l
+310.72 162.02 l
+311.42 161.84 l
+312.12 161.66 l
+312.81 161.48 l
+313.51 161.29 l
+314.21 161.10 l
+314.90 160.90 l
+315.60 160.69 l
+316.30 160.47 l
+316.99 160.24 l
+317.69 160.01 l
+318.39 159.77 l
+319.08 159.53 l
+319.78 159.28 l
+320.48 159.02 l
+321.17 158.76 l
+321.87 158.49 l
+322.57 158.22 l
+323.26 157.96 l
+323.96 157.68 l
+324.66 157.41 l
+325.35 157.15 l
+326.05 156.88 l
+326.75 156.61 l
+327.44 156.36 l
+328.14 156.10 l
+328.84 155.85 l
+329.53 155.60 l
+330.23 155.37 l
+330.93 155.14 l
+331.62 154.91 l
+332.32 154.69 l
+333.02 154.48 l
+333.71 154.28 l
+334.41 154.09 l
+335.11 153.90 l
+335.80 153.72 l
+336.50 153.54 l
+337.20 153.37 l
+337.89 153.21 l
+338.59 153.05 l
+339.29 152.90 l
+339.98 152.75 l
+340.68 152.61 l
+341.38 152.47 l
+342.07 152.34 l
+342.77 152.21 l
+343.47 152.08 l
+344.16 151.95 l
+344.86 151.83 l
+345.56 151.71 l
+346.25 151.59 l
+346.95 151.47 l
+347.65 151.35 l
+348.34 151.23 l
+349.04 151.12 l
+349.74 151.00 l
+350.43 150.89 l
+351.13 150.77 l
+351.83 150.66 l
+352.52 150.55 l
+353.22 150.44 l
+353.92 150.33 l
+354.61 150.23 l
+355.31 150.12 l
+356.01 150.02 l
+356.70 149.91 l
+357.40 149.81 l
+358.10 149.71 l
+358.79 149.62 l
+359.49 149.53 l
+360.19 149.43 l
+360.88 149.35 l
+361.58 149.26 l
+362.28 149.18 l
+362.97 149.10 l
+363.67 149.03 l
+364.37 148.96 l
+365.06 148.89 l
+365.76 148.83 l
+366.46 148.77 l
+367.15 148.71 l
+367.85 148.66 l
+368.55 148.61 l
+369.24 148.57 l
+369.94 148.53 l
+370.64 148.49 l
+371.33 148.45 l
+372.03 148.42 l
+372.73 148.39 l
+373.42 148.36 l
+374.12 148.33 l
+374.82 148.31 l
+375.51 148.29 l
+376.21 148.27 l
+376.91 148.25 l
+377.60 148.23 l
+378.30 148.21 l
+379.00 148.19 l
+379.69 148.18 l
+380.39 148.16 l
+381.09 148.15 l
+381.78 148.14 l
+382.48 148.12 l
+383.18 148.11 l
+383.87 148.10 l
+384.57 148.08 l
+385.27 148.07 l
+385.96 148.06 l
+386.66 148.05 l
+387.36 148.04 l
+388.05 148.03 l
+388.75 148.02 l
+389.45 148.01 l
+390.14 148.00 l
+390.84 147.99 l
+391.54 147.98 l
+392.23 147.98 l
+392.93 147.97 l
+393.63 147.96 l
+394.32 147.96 l
+395.02 147.95 l
+395.72 147.94 l
+396.41 147.94 l
+397.11 147.93 l
+397.81 147.93 l
+398.50 147.93 l
+399.20 147.92 l
+399.90 147.92 l
+400.59 147.92 l
+401.29 147.92 l
+401.99 147.91 l
+402.68 147.91 l
+403.38 147.91 l
+404.08 147.91 l
+404.77 147.91 l
+405.47 147.91 l
+406.17 147.91 l
+406.86 147.91 l
+407.56 147.90 l
+408.26 147.90 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.78 146.02 m 369.06 146.02 l S
+52.78 146.02 m 52.78 143.64 l S
+131.85 146.02 m 131.85 143.64 l S
+210.92 146.02 m 210.92 143.64 l S
+289.99 146.02 m 289.99 143.64 l S
+369.06 146.02 m 369.06 143.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 42.66 132.71 Tm (-0.16) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 121.73 132.71 Tm (-0.14) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 200.80 132.71 Tm (-0.12) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 279.87 132.71 Tm (-0.10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 358.94 132.71 Tm (-0.08) Tj
+ET
+38.02 147.90 m 38.02 196.10 l S
+38.02 147.90 m 35.64 147.90 l S
+38.02 154.79 m 35.64 154.79 l S
+38.02 161.67 m 35.64 161.67 l S
+38.02 168.56 m 35.64 168.56 l S
+38.02 175.44 m 35.64 175.44 l S
+38.02 182.33 m 35.64 182.33 l S
+38.02 189.22 m 35.64 189.22 l S
+38.02 196.10 m 35.64 196.10 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 145.68 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 157.23 Tm (10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 177.88 Tm (25) Tj
+ET
+38.02 146.02 m
+422.50 146.02 l
+422.50 196.99 l
+38.02 196.99 l
+38.02 146.02 l
+S
+Q q 0.00 108.00 432.00 108.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 106.44 202.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 158.17 Tm (Density) Tj
+ET
+Q q 38.02 146.02 384.48 50.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 147.90 m 422.50 147.90 l S
+Q q 38.02 38.02 384.48 50.98 re W n
+Q q 38.02 38.02 384.48 50.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 39.90 m
+52.95 39.90 l
+53.65 39.91 l
+54.35 39.91 l
+55.04 39.91 l
+55.74 39.91 l
+56.44 39.91 l
+57.13 39.91 l
+57.83 39.91 l
+58.53 39.91 l
+59.22 39.92 l
+59.92 39.92 l
+60.62 39.92 l
+61.31 39.93 l
+62.01 39.93 l
+62.71 39.93 l
+63.40 39.94 l
+64.10 39.94 l
+64.80 39.95 l
+65.49 39.96 l
+66.19 39.96 l
+66.89 39.97 l
+67.58 39.98 l
+68.28 39.98 l
+68.98 39.99 l
+69.67 40.00 l
+70.37 40.01 l
+71.07 40.02 l
+71.76 40.03 l
+72.46 40.04 l
+73.16 40.05 l
+73.85 40.06 l
+74.55 40.06 l
+75.25 40.07 l
+75.94 40.08 l
+76.64 40.09 l
+77.34 40.10 l
+78.03 40.10 l
+78.73 40.11 l
+79.43 40.12 l
+80.12 40.12 l
+80.82 40.13 l
+81.52 40.13 l
+82.21 40.13 l
+82.91 40.14 l
+83.61 40.14 l
+84.30 40.14 l
+85.00 40.15 l
+85.70 40.15 l
+86.39 40.15 l
+87.09 40.16 l
+87.79 40.16 l
+88.48 40.17 l
+89.18 40.18 l
+89.88 40.19 l
+90.57 40.20 l
+91.27 40.21 l
+91.97 40.23 l
+92.66 40.25 l
+93.36 40.27 l
+94.06 40.30 l
+94.75 40.33 l
+95.45 40.36 l
+96.15 40.40 l
+96.84 40.44 l
+97.54 40.48 l
+98.24 40.53 l
+98.93 40.58 l
+99.63 40.63 l
+100.33 40.68 l
+101.02 40.74 l
+101.72 40.80 l
+102.42 40.86 l
+103.11 40.92 l
+103.81 40.98 l
+104.51 41.04 l
+105.20 41.10 l
+105.90 41.16 l
+106.60 41.22 l
+107.29 41.28 l
+107.99 41.33 l
+108.69 41.38 l
+109.38 41.42 l
+110.08 41.46 l
+110.78 41.50 l
+111.47 41.53 l
+112.17 41.55 l
+112.87 41.57 l
+113.56 41.59 l
+114.26 41.60 l
+114.96 41.61 l
+115.65 41.61 l
+116.35 41.60 l
+117.05 41.59 l
+117.74 41.58 l
+118.44 41.57 l
+119.14 41.55 l
+119.83 41.53 l
+120.53 41.51 l
+121.23 41.49 l
+121.92 41.47 l
+122.62 41.45 l
+123.32 41.43 l
+124.01 41.41 l
+124.71 41.40 l
+125.41 41.39 l
+126.10 41.38 l
+126.80 41.38 l
+127.50 41.38 l
+128.19 41.38 l
+128.89 41.39 l
+129.59 41.41 l
+130.28 41.43 l
+130.98 41.46 l
+131.68 41.50 l
+132.37 41.54 l
+133.07 41.59 l
+133.77 41.64 l
+134.46 41.70 l
+135.16 41.77 l
+135.86 41.84 l
+136.55 41.92 l
+137.25 42.00 l
+137.95 42.09 l
+138.64 42.18 l
+139.34 42.28 l
+140.04 42.39 l
+140.73 42.50 l
+141.43 42.62 l
+142.13 42.74 l
+142.82 42.86 l
+143.52 42.99 l
+144.22 43.13 l
+144.91 43.27 l
+145.61 43.41 l
+146.31 43.56 l
+147.00 43.71 l
+147.70 43.87 l
+148.40 44.03 l
+149.09 44.19 l
+149.79 44.36 l
+150.49 44.53 l
+151.18 44.71 l
+151.88 44.88 l
+152.58 45.06 l
+153.27 45.24 l
+153.97 45.43 l
+154.67 45.61 l
+155.36 45.79 l
+156.06 45.98 l
+156.76 46.16 l
+157.45 46.35 l
+158.15 46.53 l
+158.85 46.71 l
+159.54 46.90 l
+160.24 47.08 l
+160.94 47.26 l
+161.63 47.45 l
+162.33 47.63 l
+163.03 47.81 l
+163.72 48.00 l
+164.42 48.19 l
+165.12 48.38 l
+165.81 48.57 l
+166.51 48.77 l
+167.21 48.98 l
+167.90 49.19 l
+168.60 49.40 l
+169.30 49.63 l
+169.99 49.87 l
+170.69 50.11 l
+171.39 50.37 l
+172.08 50.63 l
+172.78 50.91 l
+173.48 51.20 l
+174.17 51.50 l
+174.87 51.82 l
+175.57 52.14 l
+176.26 52.48 l
+176.96 52.83 l
+177.66 53.19 l
+178.35 53.57 l
+179.05 53.95 l
+179.75 54.35 l
+180.44 54.75 l
+181.14 55.16 l
+181.84 55.58 l
+182.53 56.00 l
+183.23 56.43 l
+183.93 56.86 l
+184.62 57.30 l
+185.32 57.74 l
+186.02 58.18 l
+186.71 58.61 l
+187.41 59.05 l
+188.11 59.48 l
+188.80 59.91 l
+189.50 60.34 l
+190.20 60.76 l
+190.89 61.18 l
+191.59 61.59 l
+192.29 61.99 l
+192.98 62.39 l
+193.68 62.78 l
+194.38 63.17 l
+195.07 63.55 l
+195.77 63.93 l
+196.47 64.29 l
+197.16 64.66 l
+197.86 65.02 l
+198.56 65.38 l
+199.25 65.74 l
+199.95 66.09 l
+200.65 66.45 l
+201.34 66.81 l
+202.04 67.17 l
+202.74 67.53 l
+203.43 67.89 l
+204.13 68.26 l
+204.83 68.63 l
+205.52 69.01 l
+206.22 69.40 l
+206.92 69.79 l
+207.61 70.19 l
+208.31 70.59 l
+209.01 71.01 l
+209.70 71.43 l
+210.40 71.85 l
+211.10 72.28 l
+211.79 72.72 l
+212.49 73.16 l
+213.19 73.61 l
+213.88 74.06 l
+214.58 74.51 l
+215.28 74.97 l
+215.97 75.43 l
+216.67 75.89 l
+217.37 76.34 l
+218.06 76.80 l
+218.76 77.26 l
+219.46 77.71 l
+220.15 78.17 l
+220.85 78.62 l
+221.55 79.06 l
+222.24 79.50 l
+222.94 79.94 l
+223.64 80.37 l
+224.33 80.79 l
+225.03 81.20 l
+225.73 81.61 l
+226.42 82.01 l
+227.12 82.40 l
+227.82 82.78 l
+228.51 83.14 l
+229.21 83.50 l
+229.91 83.84 l
+230.60 84.18 l
+231.30 84.49 l
+232.00 84.79 l
+232.69 85.08 l
+233.39 85.35 l
+234.09 85.60 l
+234.78 85.83 l
+235.48 86.05 l
+236.18 86.25 l
+236.87 86.42 l
+237.57 86.58 l
+238.27 86.72 l
+238.96 86.83 l
+239.66 86.92 l
+240.36 87.00 l
+241.05 87.05 l
+241.75 87.09 l
+242.45 87.10 l
+243.14 87.10 l
+243.84 87.08 l
+244.54 87.04 l
+245.23 86.99 l
+245.93 86.93 l
+246.63 86.85 l
+247.32 86.76 l
+248.02 86.66 l
+248.72 86.56 l
+249.41 86.44 l
+250.11 86.32 l
+250.81 86.20 l
+251.50 86.07 l
+252.20 85.94 l
+252.90 85.81 l
+253.59 85.68 l
+254.29 85.54 l
+254.99 85.41 l
+255.68 85.27 l
+256.38 85.13 l
+257.08 84.99 l
+257.77 84.85 l
+258.47 84.71 l
+259.17 84.56 l
+259.86 84.41 l
+260.56 84.25 l
+261.26 84.09 l
+261.95 83.92 l
+262.65 83.74 l
+263.35 83.55 l
+264.04 83.36 l
+264.74 83.15 l
+265.44 82.94 l
+266.13 82.71 l
+266.83 82.47 l
+267.53 82.22 l
+268.22 81.96 l
+268.92 81.69 l
+269.62 81.40 l
+270.31 81.09 l
+271.01 80.78 l
+271.71 80.45 l
+272.40 80.11 l
+273.10 79.75 l
+273.80 79.38 l
+274.49 78.99 l
+275.19 78.59 l
+275.89 78.18 l
+276.58 77.75 l
+277.28 77.31 l
+277.98 76.86 l
+278.67 76.40 l
+279.37 75.93 l
+280.07 75.45 l
+280.76 74.96 l
+281.46 74.46 l
+282.16 73.95 l
+282.85 73.44 l
+283.55 72.92 l
+284.25 72.40 l
+284.94 71.87 l
+285.64 71.35 l
+286.34 70.82 l
+287.03 70.29 l
+287.73 69.76 l
+288.43 69.23 l
+289.12 68.70 l
+289.82 68.17 l
+290.52 67.65 l
+291.21 67.13 l
+291.91 66.61 l
+292.61 66.10 l
+293.30 65.59 l
+294.00 65.09 l
+294.70 64.59 l
+295.39 64.10 l
+296.09 63.62 l
+296.79 63.14 l
+297.48 62.67 l
+298.18 62.21 l
+298.88 61.76 l
+299.57 61.31 l
+300.27 60.88 l
+300.97 60.45 l
+301.67 60.03 l
+302.36 59.63 l
+303.06 59.23 l
+303.76 58.84 l
+304.45 58.47 l
+305.15 58.11 l
+305.85 57.76 l
+306.54 57.42 l
+307.24 57.09 l
+307.94 56.77 l
+308.63 56.47 l
+309.33 56.18 l
+310.03 55.90 l
+310.72 55.64 l
+311.42 55.38 l
+312.12 55.14 l
+312.81 54.91 l
+313.51 54.69 l
+314.21 54.48 l
+314.90 54.28 l
+315.60 54.09 l
+316.30 53.90 l
+316.99 53.72 l
+317.69 53.55 l
+318.39 53.38 l
+319.08 53.22 l
+319.78 53.06 l
+320.48 52.90 l
+321.17 52.74 l
+321.87 52.58 l
+322.57 52.42 l
+323.26 52.25 l
+323.96 52.09 l
+324.66 51.92 l
+325.35 51.74 l
+326.05 51.56 l
+326.75 51.37 l
+327.44 51.18 l
+328.14 50.98 l
+328.84 50.77 l
+329.53 50.56 l
+330.23 50.34 l
+330.93 50.12 l
+331.62 49.90 l
+332.32 49.66 l
+333.02 49.43 l
+333.71 49.20 l
+334.41 48.96 l
+335.11 48.72 l
+335.80 48.48 l
+336.50 48.24 l
+337.20 48.00 l
+337.89 47.77 l
+338.59 47.54 l
+339.29 47.31 l
+339.98 47.09 l
+340.68 46.87 l
+341.38 46.65 l
+342.07 46.44 l
+342.77 46.23 l
+343.47 46.03 l
+344.16 45.83 l
+344.86 45.64 l
+345.56 45.45 l
+346.25 45.27 l
+346.95 45.08 l
+347.65 44.91 l
+348.34 44.73 l
+349.04 44.56 l
+349.74 44.40 l
+350.43 44.23 l
+351.13 44.07 l
+351.83 43.91 l
+352.52 43.76 l
+353.22 43.60 l
+353.92 43.45 l
+354.61 43.30 l
+355.31 43.16 l
+356.01 43.02 l
+356.70 42.88 l
+357.40 42.74 l
+358.10 42.61 l
+358.79 42.48 l
+359.49 42.35 l
+360.19 42.23 l
+360.88 42.11 l
+361.58 42.00 l
+362.28 41.89 l
+362.97 41.79 l
+363.67 41.69 l
+364.37 41.59 l
+365.06 41.50 l
+365.76 41.41 l
+366.46 41.33 l
+367.15 41.25 l
+367.85 41.18 l
+368.55 41.11 l
+369.24 41.04 l
+369.94 40.98 l
+370.64 40.92 l
+371.33 40.87 l
+372.03 40.82 l
+372.73 40.77 l
+373.42 40.72 l
+374.12 40.68 l
+374.82 40.64 l
+375.51 40.60 l
+376.21 40.56 l
+376.91 40.52 l
+377.60 40.49 l
+378.30 40.46 l
+379.00 40.43 l
+379.69 40.39 l
+380.39 40.37 l
+381.09 40.34 l
+381.78 40.31 l
+382.48 40.28 l
+383.18 40.26 l
+383.87 40.23 l
+384.57 40.21 l
+385.27 40.19 l
+385.96 40.17 l
+386.66 40.14 l
+387.36 40.12 l
+388.05 40.11 l
+388.75 40.09 l
+389.45 40.07 l
+390.14 40.05 l
+390.84 40.04 l
+391.54 40.03 l
+392.23 40.01 l
+392.93 40.00 l
+393.63 39.99 l
+394.32 39.98 l
+395.02 39.97 l
+395.72 39.96 l
+396.41 39.95 l
+397.11 39.95 l
+397.81 39.94 l
+398.50 39.94 l
+399.20 39.93 l
+399.90 39.93 l
+400.59 39.92 l
+401.29 39.92 l
+401.99 39.92 l
+402.68 39.91 l
+403.38 39.91 l
+404.08 39.91 l
+404.77 39.91 l
+405.47 39.91 l
+406.17 39.91 l
+406.86 39.91 l
+407.56 39.90 l
+408.26 39.90 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+46.00 38.02 m 369.80 38.02 l S
+46.00 38.02 m 46.00 35.64 l S
+110.76 38.02 m 110.76 35.64 l S
+175.52 38.02 m 175.52 35.64 l S
+240.28 38.02 m 240.28 35.64 l S
+305.04 38.02 m 305.04 35.64 l S
+369.80 38.02 m 369.80 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 38.21 24.71 Tm (0.80) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 102.97 24.71 Tm (0.82) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 167.73 24.71 Tm (0.84) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 232.49 24.71 Tm (0.86) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 297.26 24.71 Tm (0.88) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 362.02 24.71 Tm (0.90) Tj
+ET
+38.02 39.90 m 38.02 88.50 l S
+38.02 39.90 m 35.64 39.90 l S
+38.02 48.00 m 35.64 48.00 l S
+38.02 56.10 m 35.64 56.10 l S
+38.02 64.20 m 35.64 64.20 l S
+38.02 72.30 m 35.64 72.30 l S
+38.02 80.40 m 35.64 80.40 l S
+38.02 88.50 m 35.64 88.50 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 37.68 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 51.65 Tm (10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 67.86 Tm (20) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 84.06 Tm (30) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 88.99 l
+38.02 88.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 108.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 154.93 94.91 Tm (Risk Ratios: P\(Y=1|X1\)/P\(Y=1|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 50.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 50.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 39.90 m 422.50 39.90 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-2247 0 obj <<
-/Type /Page
-/Contents 2248 0 R
-/Resources 2246 0 R
-/MediaBox [0 0 612 792]
-/Parent 2223 0 R
->> endobj
-2249 0 obj <<
-/D [2247 0 R /XYZ 72 720 null]
->> endobj
-2246 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2252 0 obj <<
-/Length 2206      
-/Filter /FlateDecode
+2550 0 obj
+<<
+/CreationDate (D:20070601024002)
+/ModDate (D:20070601024002)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
 >>
-stream
-x��YK���ϯ�C20֊��ۦ�l&��!� ������2��Hr�����WEZ��^� Hri�T�X������û�~��wJ�E��=���"Lһ,��������V��o$�hBH�,J�"��
�N�:�#�(�_��ɃCi��:�u���þ��O�J������Um'Ý
��(<��nOP���l����
-*OO|���O��
��ֱ��e�ۻꋬ�T�
��[�{��	�I�vr�(	z{p�mu(��j�^���~������� ��Q��\	G_�W	}�O%n8��/�
���L_�����j�����Q�4>v4=����b�Vp�hv_˜u�.N��9h\c�es�q<Yl˝=Ճ�M�i�
M���M��v�[k$�o�ng���eS�r$N�G�A-�r(q�"e��d�SK���d
-�: �l7���r�+�>��QqP��IV���,��o�o�q\��\
�
J1��s�~�R��>�T@�g������X���
��k�X{�DXB�5�F $6��>A�
G
Ė��o�D�����|WY�������
e_no�yxG3|a�
-N%i)��C8�8#�L4�p����}�Y�t�|�����X+�
9�'�c�
E#��<����E
�i6rP�wz��&�8ud����h����lp����zTJ��tˇ�{�	]�W�T��G{8X��u�N��B�g^���ǩlJ�ߗ�T�a�3EE�̔o��~v"��V�{]$��w����i=Xlp: �v�R
��H�K��A��o������
-(��E��9
~f]�Փ�=�e�)����xU�{����bWr���E�<��P$>
v�?��$�xO�s����,QN4�
"RK��0*���;�.�C̪���ۺq~AȜ��.�0+Ȓ�
-U&��g���yE��`�l6�(�U*��/N{���}{��#/p�v�2��O����B�Ϡma�g�~��yC��F��������A�*�m���� ��m�\
>��+)g�j���{]'���4T��C�sz�6u��8�
��-
�>��oX�8
-�
yj6��
-t
	��
-���s|W� ��,̴L=��8$�!^�����ܡ$�<D�"8 ��I Ѧm���[�/�ںf��8�m�
-s�̳J;�_o��R�4��g0@ű��
e?��/�}���#5�1��֨�ռ��g�wP��lF|�R{b 
�b�(2a�ǎ�o�P*�
Kƣ�ХpfC�e�,$+�"K�:>."��:΂
/�>c
�#�� ��5�5�
��paxBǃٞ�+P��D�S|�b��Hk�Ek�\�D.�`@��y�ƚ�N�)�6���/�M���`��U(.\X���ʘ�F��0Y:�_�
��p~��+�V
UWQp-��&��M߲.�Qm���
�i�
M�(���V�$J�h�v��*��R{�b�V��)R���$��WP�ؑ�%�q���<�m=
i1�K<q<>r�2�K�|/�_�_擭�=����
��*��O�聋1�
]#�
e��\����
��#lyF���/��U_W��aj$d�L�\���YE�&�@qZ��q�չ�����
����R������x�l��N
�{���$
-�k���})ogz�< �u�7~#V� ���Ƃ�QO��OJX;[VB�0��ll�Z�K���XT �"ߋ<�ɤ?�+���dT�+������ �u�`�{�c��
T�'�j�c�q���6��
�
P���[�D��;�*
M8�$p i_��CO�AQQ����TP4ʸ
�'��EpHMss��ii	�I��J&����(�R�"�!U�SL�n&�0�/��x���
�2X*8���
M�b;�_���dR
-3Z�u����#g�GX��#f�S����!�ڼ
��_}sF�ѻw9ԣ�<O:S�����Yw�+86W�¼�
+K<
�i���i(�=����Ŭu�\�6��;���gF���n�~�,赉�<H'
�Z4}~kxD��5�����<M��
K)i!��a���� ��?
/
Eh�݃�UYWh�L�S�0���~cE�p�E�J�$�w?lE]d	Ȓe������Ei�q��]���R��}d
P�#��f"R����7ڊ�Cɼ|{�p\A�K{#�~�:���l����03f��3?����x>�J�učo��I���Z������1����$�
dy��U���~���
_endstream
 endobj
-2251 0 obj <<
-/Type /Page
-/Contents 2252 0 R
-/Resources 2250 0 R
-/MediaBox [0 0 612 792]
-/Parent 2223 0 R
->> endobj
-2253 0 obj <<
-/D [2251 0 R /XYZ 72 720 null]
->> endobj
-2254 0 obj <<
-/D [2251 0 R /XYZ 72 468.07 null]
->> endobj
-2250 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2257 0 obj <<
-/Length 2638      
-/Filter /FlateDecode
+2551 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
 >>
-stream
-xڵZI����W

H@,׾DV�8� ۊacA���LkH��ˌ�C~{ޫ���,.�_����Uo��R����ﵹb�8����W�_j	��k��������b��f���_~x�u6�I"��qN��02
I�?
Gl0�7�t8�ĥ*\?t�^��.���ms�[�b<���zu�����
-���_m�koǛj��@��ah�DK��_�#�d��#U
~�u���

�wq��*i�f
���V�ŗ
����q������s5��w��f�(1v������Ѭ	\�5\>�Ԍ(
?*Ib�'�š<�����q��깾�
�h
-�I���,�l��;�`�:�1A2��8r����g�޷�jp��6~���^�3|����,��/,�
��ჟ���
�z�ӊ�
�\���%�;��Ȧ��w0����
|��{�
�@��wq'֒F{TM��P� Ŝ4EQ�4�j���f0?!\�4��v�l���k����ͺ�'J�]����ho&EιJZ84�Q~gL����޵�:O
2mV��a��Z�T�i���p�
-&&��-��u����v����z9�V�K����X�!r!W�|-93���Λ
-5<G�����y�ž���8���r[�|�
��U�%�e\-��R�G܁ǫ��`�F���y���e���C��s\6�S�@�h�
&(ve`��1�
p~J]��\��� �ĸ��"�&D��(���	���*!��X<���M��#$?
��͡l'��c��M��~�Ӷ5��J$��D2z�iA
�޿+_�V��@[\��w%�'2)`{[�"
Nǫ���:R�a�?��ٍ��D*ݳ��� ]�kv  �%�_���f5@��V���n��|�'˟�ֳ��L�df:�'G� �(Cr��(�a
��K�P ~�g�y�����*L���exb�h��������49wwe#ֆe�!�
n5�J��ISq=F�`�$@v�Ā�T�u�r߀Ih�t��t{K(��lv�ߒT'/:�lM�6\rK�P/O��䗂p�h#�Fz��
��6���.����K10e���E�qba�=;�=��U/X����?n
��֫4u���DO��Y?s��1��EmIp]~~m	~%w	~�����f�e�q�z [...]
-����)1��H�8�ΈMA=c���"* �u�j��V��
��#u�L
[��fe��,��n5�֋/>
BQ��4Yd�ސ�R�J��}�(S���'<Q�g�>�
�"
AO
�)���
-���b�Im�����j���:ߖ����3�즛Dbksxg�B(���
�q(���hjs	�O�*tr�
 �O�
o���8�,��mU���}8��m��g�f
-��'&S�*���z��2Jr��})�r'O�����]m��
��>d�Z�!�	}	Q
"#J��Y{��Z��aL�S��ל���`S�}��=ɣ(m!��n�/P
-h)V��)���L��%�!²l��>X
b����E�vv�vަ���[�1Q��O|�]`AdE�)�ϵQ���3���U昆����,� )�
Hl����
�)
�$`��
-P����P�_ˈH�㣜�v�f��p(��&s�d��[(�즼��v���C<��")�k٣���.��(q��M�uQS�(+�
-8�d�D^yI䕱 /D�`�=lxF��9E7�lN�
-x'OxV����̗�3фO��{���P@�	�]4�4�NZ�CلG���=+�f��+ED�E���eYd���I���{!�HQPa
�ϓԩ�g2Q�>
G�kv��4�g{ ��N�%V�|F(*���wq/.�����mJ\)���M�E��'z^P�
zR+��6%�e
-BB����
2���	�
��"!�Q�
���M�Ā�{���]��~�RQ�4��iX�x �?�C��+�V�J
��k��e��&
��d�{[l�2g����n(.u�
��Ǯ���T
V,��Ϋ�y�X�N�c,���j��z6Bi�ݼ.6�$`�~�1,�4^4 ��B�G�/��f�]���
U�4g1B
mq��RY�}Yn�)�����X����(<�X�pq
-/ �#p�e֫��V��W��<E�c�`:';�%xÄ�ӭ��#i�s�cMy��f
��/a�{��ږ�<��X쥧~�a���詮����$�``�D���b
�m���}h�s۩� 5�y����

c���x�w�x�n����^ `xI�^F�����o.�U�^���,�fu�G���h�X���	ǃeL��%|*�Wɺ�눋�&���>VҀ�/�Z^�5�oϚQ��_���#��s�����&r�0��}���T� �՞�7]�#�d�
]`vJu"8&*65� �]Rv��
�l�a�Rv
����4b��<*���'��I��K%��h 	�	�s��X]�<�ɐ�UO��v��p
�آR�yf
/����x�Q���?�X���
_�j�
�|��f��t);z�u����kHi=�s���ƫ#���d����.�<�n��{=L� ��

=f`�/�_��~��vs9endstream
 endobj
-2256 0 obj <<
-/Type /Page
-/Contents 2257 0 R
-/Resources 2255 0 R
-/MediaBox [0 0 612 792]
-/Parent 2262 0 R
->> endobj
-2258 0 obj <<
-/D [2256 0 R /XYZ 72 720 null]
->> endobj
-2259 0 obj <<
-/D [2256 0 R /XYZ 72 697.999 null]
->> endobj
-2260 0 obj <<
-/D [2256 0 R /XYZ 72 702.873 null]
->> endobj
-2261 0 obj <<
-/D [2256 0 R /XYZ 72 417.22 null]
->> endobj
-2255 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R /F51 1171 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F48 554 0 R /F52 1472 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2265 0 obj <<
-/Length 2372      
-/Filter /FlateDecode
->>
-stream
-xڵYK�
���W

z 
�w�rt	`Np6�(��t�n+�Xt�H���O���
g����6��&�_�����͋�ޔn!��,n6
癱��;�5L��*�J������wo��,�Q�͂�57w
-)�K�f�ʸ��ͮ:���J^���簻�}�?fϰLJ
wh{�R���R�%��=���
�<,�,^�]�d�b���i.�N\ZZiĢd��u%\Y-Vp/����H�)���˕S
-v�*s�,���<��.O��K�;u�

�����3�����:;��ǻ�k�+�
IF$>��I�03 �WZ�� Ɍ�Í��l#.Қ:#+�L��M�B��	u��

7��x�p\�C?���6
-�I�4��G���U���w�&gR8f��dz˜��<����r� �q� [�m�w?L�@�p�xQ�J��im��և��~���a��w=X�DIѱ=�
-�
��^1��J+S�t86�Wx��^��pT���i�3a�
����3���
-
]��-XPS3#�����k��>�>+����}�܇�40ڣf�t�5����ߟn��(4��wq���=t9493����Ѳ�-�HG�T5)�}�n��d�����„U��g�3#�cB����QB0w!@�YEx&��`�t at e��[nx.�C8�  I2�4F��̸��
K\؂I����!�
��j؏sC0�S����H��h�M��
�,3 �-m�Z��y���:+����
�eR����`~��d�R�	o/��<_�7�$�y�pL�)�F�^��ңL��i�?9W�Ԇ-2g at pN^����8Q>ST�|Q�W��4g
��J	���k�g���������	���Y�{�?�jy#>��Y����4�^��
8���?��\�?^��E�r*_}�ٚA�
�Oީ˩S�ɭY���39���u���
\qhL�3
Z~��cN|�%�%�dr�4�vs"�x�*�L��5
Q�3r���J�8���n|���ط�r��	
E�F
��R5�~u�k�sbi_O� Q��R�ԈHE��zl��6
�z˅�5=�S�[Ͷ������g����TF���D��h�Z:�J
2�()7�|��������������	(��
�C�m�	�D1OG�%�nh8ᇞ�v�mo�u}��`)2�x
�j��j��i�DU�津��=���P���w�x� EƊ�D�Z��^X��m>�f-̼����^nR�4���=Vgd*��9�h�;�S��g !�'��@
-�"X���
W8��c�P��p���X�{,"�3��W�V�
-/2��O���u�t�k���P�T��]�i��M��Vq�+�
�0~D�La06`K�/[�o腼�`L�n���mu/�t�#�2�?Ng��b�L�>6�A
�C��n"ੇ=���J�LAb�b��
5�.EF~
�R�p"�������5`�����.@�-^�b��i;z!�+��;�ǦkS�
�u��(ޝ�O��O��� 
-�%&����7-M���sa ���
\8�	p�@y/W�9y,S��mf+˄����!5X ;�2
�b�,U�8B�
5� 4���H?���.T��
� ��:U�
���Np	��u���]��M(�bGQ� �=�(11�+�� #YN:�?#�@fH�I���-�
�J

ɸ�s��yC6
vz����F�gܟ��q�M��!�2��R�_��z�-x@=�q
\��'�_q��Cz���g�?!3t���ͦ�2
��t����Jܢ���FCn���$�"]�ۀއ��>fD3�y���I8�(+��I)�
�����U��
}�G��
��32b�u([��E��[Hۓ����"�����LX��LX��tS|;�ۇ.]���4|
-��
-Q��'L:��0O����K���:���$o�"r�\�j�%��Y���(if=9>�\\�w��@��r1J
Xm��Y���Y�QO
���29��*|��ar�>�`
-�
-<]l�64ɗ$�Rŏ���96�"'�E��e䖡��'2����?\���ʯ�Q,��Q�f0.���!�'��i.,
�Ǐ�.2����s\�m��[H`��
-U�wY^�9��A�˖
h�Fa��3-���@�jL]�R���Df�G��R�8v����h*��j�
�<#
->>��{��
-Ć]��
�e
�;��x
-�f��<lz���{8���
-
�I��LߐI�X
�	�Y�j�2@��m63Z���~vf�{�_c�Tr���M��&cpnx���-⿯�y��p��S
E�Ҫ�C9ߣ��b�t%�B-�
��ʺ�O]Cb`(�҆2-�3���]��e#���
<ؔb��?�b3�}H�*ҧ��j› �
-�\Qs]��Y�/~�y�_2oAendstream
+2552 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2555 0 R
+>>
 endobj
-2264 0 obj <<
-/Type /Page
-/Contents 2265 0 R
-/Resources 2263 0 R
-/MediaBox [0 0 612 792]
-/Parent 2262 0 R
->> endobj
-2266 0 obj <<
-/D [2264 0 R /XYZ 72 720 null]
->> endobj
-2267 0 obj <<
-/D [2264 0 R /XYZ 72 464.583 null]
->> endobj
-2263 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F52 1472 0 R /F54 1447 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2270 0 obj <<
-/Length 864       
-/Filter /FlateDecode
+2553 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2555 0 R
 >>
-stream
-x��U�n�0��+|� �%����i��u��F�nڢm"2ehI���
�j�"A�i8��8�X����򉔼L��j;��$	���l�D��(����f�Y �Cߌ�.��z��Je'^�d����\E�bz�7���i���v�(�v�
�/SYt~�f*g�U�E@�$����{i�^�f�2�Mo)a���j�m���z����|���^q��nIP�u��x��,K�	O�̗x��܃�/����-
z�	��iW��p�n�/��
(�98&q�ޡ֖T
02�6����{_&��oVe�)���Ѥ�����k��*��Rd/
-�=���n�
2v���~`�7�`�[�2��T(�>)������C��ǀ3A����1J ��5v9aK���msG��^�F��-���}k���4�E�
?�	f��1���C��3�-c��cJ<�LO!s�T�E+���
@	̆����`
���θ�W+Ye�w;��
�}�7
I=���#� (B(r�1���%�?���$u � ��s
����p0-��(�G�-G�
�î�>�4]����`	��=\�)�i��
*���u�
�]���r+P�훡�cM����c���h
k��HzB���yP��
-,�� ]���
-%��
N�
�r���E��%/�
�� ��T������\L	�q%z�B�y
-hZho5��{��
-n2���#�K��q�6y"�,���p���+�C�a{���+}D�8�m�3=�4�����ۅZ��
�����Ro����zH�Z�#��@��I�Bg�)�����o
�i9���_�$��<Qc����(��s�������o���P�� s�d�)�%)s0�P~�fu�۫�endstream
 endobj
-2269 0 obj <<
-/Type /Page
-/Contents 2270 0 R
-/Resources 2268 0 R
-/MediaBox [0 0 612 792]
-/Parent 2262 0 R
->> endobj
-2271 0 obj <<
-/D [2269 0 R /XYZ 72 720 null]
->> endobj
-2272 0 obj <<
-/D [2269 0 R /XYZ 72 700.324 null]
->> endobj
-2268 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2275 0 obj <<
-/Length 1994      
-/Filter /FlateDecode
+2554 0 obj
+29656
+endobj
+2555 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
-stream
-x��YK��6��W9��!EQ����M�"i�f{�=Ȗ�*K�,o�)���y��d+�,��ԋ��p8�f�#���G�b;SV���.�3άL������p���G�����3+�c-�$�I��`Ԫ����
?9�-�$�$���x�0R?��6/��B[|�u����<�A�Ds�
���=N��"a<SJ��Y(
-ig�0a›y^��C�
ZM�o��ub�{��P�q9��vUVCk�����o��Y[⶗U��֬v�X"
-,Z�
�5m]%��y������5�>��
-.p�
�MI�;.T$�(�=n�h���9h�r�uX��
-�5����K{��88�����2�</�K7�$�F�]U����J\f�r
�e^�
-�[�$��M-�X�p�I��J� ����z�ì�1
=��`��I{��6aI�
���T��Z싂�_��@)nC��"
#��j�Rk��
(�{��;裓ͱE�
d(]I#�zU
r4�p�
�%�eӡM���sX h�Ԋ� ��T!|`=u�]�̂+�I���1x�H��{>�(��Hӄ�|}[�5[#{����0
-$��o��U��q��TX4�{4�vy
?h�Ւ��	V���xh���N\y�qw\��??B�//_�c ��tl��?`4��H�S���
�
k�f<���<y���jG���Ei��=���+A6f���w�n�Q�'51$^���F�1�E�.�f�U��
��
�z��A���8� øx}�N�f
|�\9�����H�X	��!�>,=�)���ࣅ�)��
-���C	+���F
0N,��<ʯ��'�a�r���\=!
�H�h��‰��c4k����E��B�[����:�:1�-b�.�#�H��b�1 �)�b#�1�v�H���
�,��i�B�rs�ٛSw��
���!�^b��C9�m�׉l{�k.ni�%a��wSk���
x�
+��- �<�ېX�D䟧�i�0ЮO
�$+��b
a$dl>�Cϙ�:�q��c��Q4w4���+���+\�A���:;T��$E1g:m,,xC��ۓ�H_�?
'vfÈ7��8⽨Y?�	��V\L�3�o�{DIs
%-���vG�����Aa�H a�Ds{@y�4S`�&�w���-)a,^�f�
w�f>�N�_))�6�%�<�(�T�B|������?Y��w�-�<��w��}���u��^8E.��Л���WXΈyql�t
<qpF���w��
�Ay��
\��p��M�`Cj}y�fm
	�D�pZ�����	�RZ(;�'N
}(��������3�&���;�‘�Q�Y��H]
ˬ�#s=?:維��EH�6|�'������y�
-�D�w׹'&Xq��L�qu�[A'
��a=T�G
H �Z�8Ɂ`k��#�6��5K_;0�J�"
t����\J?5Ql�M̤�&���Z�I���i� �
�B`�����т�I
�#
�r�&G��} ����
X�F�H�X�Z�x��@ː .���t�
�"�tHDV$X�+'
����6R�ݺ
鹽 ��"JǗ��Act���D

|�4��L
�I�����X��?=֚��DZ���g` {V���t����'�US
����^I��;Ŧ9T��&�D��]&�֥��G���O�9iy��6;d�
x�'�t���x�T2&`���Tϧ�t:f�	d

�?�����a�L��tmv;�(�3+'.WqzzG�ۛ�z$x0A��+��sc�8
-�Z@���8��
���q�yx頑�

�RO��'|p2�3�s�&ڳ�$�m�8�E,�zB��H���Y�J.�
�
;��9���pF�ka�&Z���l�D�W䝿ω/ª7n�V����p��?uG���o˃
�Ky$����[�GN
;Ec<}���v�k[�+>�]��ByI1yE�}�R�mc8�^���?600�$��'LE���0�b���/�
|�3^endstream
 endobj
-2274 0 obj <<
-/Type /Page
-/Contents 2275 0 R
-/Resources 2273 0 R
-/MediaBox [0 0 612 792]
-/Parent 2262 0 R
-/Annots [ 2277 0 R 2278 0 R ]
->> endobj
-2277 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [280.944 648.883 303.747 662.831]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.8) >>
->> endobj
-2278 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [335.884 634.438 358.687 648.385]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.9) >>
->> endobj
-2276 0 obj <<
-/D [2274 0 R /XYZ 72 720 null]
->> endobj
-366 0 obj <<
-/D [2274 0 R /XYZ 72 720 null]
->> endobj
-2279 0 obj <<
-/D [2274 0 R /XYZ 72 597.379 null]
+2548 0 obj <<
+/D [2546 0 R /XYZ 72 720 null]
 >> endobj
-2280 0 obj <<
-/D [2274 0 R /XYZ 72 529.769 null]
+2549 0 obj <<
+/D [2546 0 R /XYZ 72 720 null]
 >> endobj
-2281 0 obj <<
-/D [2274 0 R /XYZ 72 400.269 null]
+1321 0 obj <<
+/D [2546 0 R /XYZ 72 153.69 null]
 >> endobj
-2273 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+2545 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
+/XObject << /Im16 2544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2284 0 obj <<
-/Length 2237      
+2559 0 obj <<
+/Length 907       
 /Filter /FlateDecode
 >>
 stream
-xڵ�r���>_�K*`��4�X}s&�˩��=9�PB
�����1#Njr!zy���K�����C���������&��8�IU��߽�a�v��� � �R�(�i� ,Lf`a�'*��v�H�^�
S�����n�e���0�#���w���=����
\2T]k�
w��ܷU��*VEy4�z���o� ��R�������u��@���H�WK`x�@���3 ]�@�#�#�ca�3ϻ8��7B����g �	.ޙ
V?��:<���\x2U���Y����+���W�n�桟g�:^R�
QT Z����Ǿk&�
�5
-� �n��U,
8���ux��ZOl�4�*��O#
�.
�8���N`{�YV��64�žʯ0�̏�܁��ځ��򤨞+[=ԥۃ�W�4l/i[�
v�<�.�+K*
���H*! G�f�A
{ۂ�.�ڂ�@E[^��X��,�;!��iJ�G\9v2�+�
��Db������8����T�
�Wr�u�#
\F`q�@5���!���0�e$�(�eV沭��,���glC$#'�n�%P~8��jcP�6I�&��B
�Ĉ�qefz0�L0�@Q�$)�_R�z
G�FK�)X�%J}��w~H���,�D৳[vi "�ٙ��)��I����$�����?�?6n��O�Ia����@��������-ǸQ�88��?���1�- ���@$4Ú��U�
�W
 F�	�+�.�0
�CY�
�,�,^�K�U�
\.����m%gW+٢�����H�\(�B�!C���	+���S	N)I.�
z,[��^�C��8�f. �l��
�O8+���-w�x����T�
�Z�5���7���>�
��8
�1��9��$�M!�
}QG�U
y��~�;�����1�������POڋc��@!��Ζ�9�b����I
0>�x���Q4f�?x�Q)�#J�R
��]� ?��,w�~.���Ԃ�b��c��H�q%I��<?�R*)y�`]��!ܬq��Ĭ��KAL�
x��H�'2X
�2�9��(�)�!�P�$�㗊S�c�ӡkN\%SQ�H��!Kjm5�5b��
]
Bk�n��$�����V��=;g�0.w85Fi2��;��t^�������n�S��G}nZ�(�<�8���ƒ��I���u����
�Od	C�ゅcJ�
��]CQZJ�\H�<y2l�\�eN
-�ʝ�DG	3�
-�`�?
Ia���ڡg
-�|�&�Oڰ[��t�<��f���g��m[wM�m7�N��e�J�6�]��-I�ܗ�i�j�Cҡc���
�")ڗ~�W6��P�+Bf��3���7Kh���.?�</�Բ�KwI
��,Xq�t
-��l�E�I��,��xlX$��c�K	�$~
,S
��K	iq\�����I	�η����0�_�JD�#�����Cm�՚E�c��H�D9Bh�W���U��F z�\<�ʝ��`�Y�����
U�ޏ|&y�/lb�:��;��Ǎ�c�P��0J^�^�Q�Έ��;�3 �"�)��,Gw�Y|8�?
-�צ�X�b��B��νN��s&�9S��ǧ8�֏f�,
�W+aj,��]]w�5���w2A9e/�h��V��"���J�����,O}E�c���C�+|u?W���?U��c�='-jW�k�g2��ԼT�NC�\=EO�Γ�-?��c+�46:d��x8 at t.��P�R*W��:�Y{�k�XqL�FNt�,���
.\6��T�b�
��z��郥y=�<ҋ�T�xr�����RNoq4�y���"%LX�p� �K��Lw��yAaA���6�_շn^�2�Dq�Lq��
-n9Ɯ� 
�[  �=6��g�ȋ,��$�s6
O�%K+K���5
��sa�������!�su)
L�\i��jf�0a۔'t�2����/��0��<����#�8�x˷
ͳ.
�k(:�+6.t(�yД/$3��<�K~��^t΂���2�z���C愚� Kp�vȿ�)"�.A���,�����

��y6�0( �rj�.
p���|�9X��w^§&?/V	��>�oN�GZ�O%�祮�?��~c�+�]gh���)�#9�J����~�v�l�`A���	���w���À~�
,��q���-�.%�MTk_��<��t�;Dy�G��
p�h�S9��~$Ma?��w����e�endstream
+x��VKo�@��WX�C,�fgߖ(�
+*�@�R.�p�á�$nST�vf~5ۦU�8l��~;��73�>
Fg�t@r)��2
+�)�hj8��2|�f�����G��'�
+��W������
+�7
*)>����A
���pf�cޮ��kj
��:@M�#�~�6�٢��O��Y`X���`��3�u�>�I����)ȝ��´g�
+$m(�[*a�1z������Ot����)aFw����|١P�r����qܴ������j�ǝ�(�b��FjEo�@Yh	pNg	��h-��f�\%����t�q���&F�6��7��|��7�Ym8�X>u���9��53D��|,SL�pQ�-���;XL$c���6����O
c at 8S����
�n4ɵ]VD�H
�!
dq�������l�����8Y/|'ؿ���m(ӝK<.i_�~�n�mʬ
�N�l6���Y���c��[w�eX�;װawv��FD)]@�΀
a.�v��E07O��H��*��a���
�u(��e��._�-DE]�f,ω��w�ձ3�ځx� ��A���qB��k€F��7Me�r�{=�^Y,��U�J:�_L��jn��;Sn.�c[l��/�e�J�9�a�搻vBn}l3��&�9Jr�턜l=�����
ީ�	�Q�r����O��G�sw�c琳M�7l%&�
c�!Q�!�=�G%��` ��
iu��@O�podX�\�r�x��O��

����&T��R��	ǹ\
��T�.Վ�L��V;�{YbPT5�P��m�<�4���vDa/0���'��
E�
	"%�ߜ���]��qq���Eu��
�p�+�Ԋ0j/�\��k�""�s�<Y���y(��i=��f�n���X�X>�{�k�yr�-~�K�!�M��%l?+�'G^P��Q�;endstream
 endobj
-2283 0 obj <<
+2558 0 obj <<
 /Type /Page
-/Contents 2284 0 R
-/Resources 2282 0 R
+/Contents 2559 0 R
+/Resources 2557 0 R
 /MediaBox [0 0 612 792]
-/Parent 2262 0 R
->> endobj
-2285 0 obj <<
-/D [2283 0 R /XYZ 72 720 null]
+/Parent 2508 0 R
 >> endobj
-2282 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R >>
+2556 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/logit-ROCPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2562 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2288 0 obj <<
-/Length 2025      
-/Filter /FlateDecode
+/Font << /F1 2563 0 R /F2 2564 0 R /F3 2565 0 R >>
+/ExtGState <<
+>>>>
+/Length 2566 0 R
 >>
 stream
-x��XK��F��W
(@������ڛv�9�{���Hj�3���[_U�DJ�=�`���t�����zt�x���Q|��J��ꦼ����M��,�ӹn�i�v
����v���Y�����/�W+�S���������OR�ߴ�:�8!9^�]U>�|�d��`'�p|�:��cm����߯�?3T�,\������ya�
Za��^��
s��'Y�W��iu����Z�"O;�ʡ�pJ�K*">W�o���[�YIab�[����V~+X�
ZVW�s��
]��3�
B��a)����6���?:e�v�vB`���
��B�s�t�؋�.=���W��#�jm8��_�8{q��Ζ�3��I4Z�M�_}١�m]�'�^W+��*��ĸ�l|���
��O��������!a�j�|�E�P�C��
99VaD��*�=�峧�9�h��gw0�#~�
E�9ܗ��h�
R�g䊠t,�
T��F��9x(m7b%�G�Caφ�N�sH��4��o���ܰ����cᑃ��(t2 B�i�f�|���d/�+�羮e�a�
-Ԡ--�^��S���L�x����"�iV�4hkH�d�fLI��7s^4��j��IV�Į���e��Z֛0Y��+���{��虉�"emG�U�l(r��B��5ŕ��dj��K��&�
@�������1秢���I\��m�b?��H���ָ`;�*H�]
t= �S�~��
Q*���G��`$���cA≑�	�nZ��|-؅\�/�+�L�6,�I�
\�V>	�c &:G�����"
���
%
c��G��,�eu�йPw�X���a�$���s����竊��ŋ�zG$!�VBV�-T
N�W�F�*7
&&iَ;.��G`G���\
-�v’�MA
��z��E�Ȩ���a&���j�ZF=�{�vB;xVR�Xg��٘����w�K�-�@��be��)�uU0��T�sź�	IK�#'��=� ��j��1�d�rl�d�m��o�2�����I�b{�Ss|;-&/N��lKF+mMP�$w l� a��l^Ԕ2���
�"���o�8��ypV��4����H%��
z'�iC�
-#�D4�*o,��`�F���C�/����6���b�����7�+�`�srr�()��ʮ��X�LB	��PbQ��ϥ��ziO¢~���=��]
� �1�MCS�P�#��=��9�$���TyQh�K�����~�Ŵ.��P�{ {qK�YkrO�p-���4l�;�\'���s!���`Z��.��>��~��h�F�0s#�`Ӂ��T�f2����6[���K";z$�ۭ� ��eR�������_x��Y���B��$ ��b0�t�c{��p��EG�x����
J�����}�9ød���zg��n�iK
-��d2��3ۥ�O���.T�o�
-)u�{����i-�n!G?��O��C3Qr.� ܶ��%�Ԫ)y��Ud�����@��~s�<f��������M�G��d�]-�
-3��w��Ç��)HR�G��{$r( �$OcN�w��`*ӳIJ�C��$�8\���̸�1����xѰ�N�a�L
@�A6�/��
-����=[�;��d����D����]^q�PO������kE�H'
-`Ys�u|��U#�B�
j�
n�0V~>���M
2��\SB
:B0�m0ַ�t9��`D�k�T������`�ܼ�nI?�mm�m��=�~�q��2�Ԙ �ϯ4��#�|\
-x(�~:�A���8@��O�B9
-�l%%����J��`m�MS��
�w�}������B�
��٢
Ѭ�� �����`�Bu�
-s�)\�q�>�-�	a���7���ܶ:X�OT�jy��
o��x;$���Q��8����Z���<fO�
-�G�)��dn�6G�~�}��ۚ�F4�)�b
q���)����-��� r?8�v�I�Njא�baY��^��>}�=���������"�
-
e�O���B����!��W�o^�~ �Qendstream
+q
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+59.04 73.44 m 401.76 73.44 l S
+59.04 73.44 m 59.04 66.24 l S
+127.58 73.44 m 127.58 66.24 l S
+196.13 73.44 m 196.13 66.24 l S
+264.67 73.44 m 264.67 66.24 l S
+333.22 73.44 m 333.22 66.24 l S
+401.76 73.44 m 401.76 66.24 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 50.70 47.52 Tm (0.0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 119.24 47.52 Tm (0.2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 187.79 47.52 Tm (0.4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 256.33 47.52 Tm (0.6) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 324.88 47.52 Tm (0.8) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 393.42 47.52 Tm (1.0) Tj
+ET
+59.04 73.44 m 59.04 372.96 l S
+59.04 73.44 m 51.84 73.44 l S
+59.04 133.34 m 51.84 133.34 l S
+59.04 193.25 m 51.84 193.25 l S
+59.04 253.15 m 51.84 253.15 l S
+59.04 313.06 m 51.84 313.06 l S
+59.04 372.96 m 51.84 372.96 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 65.10 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 125.00 Tm (0.2) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 184.91 Tm (0.4) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 244.81 Tm (0.6) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 304.72 Tm (0.8) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 41.76 364.62 Tm (1.0) Tj
+ET
+59.04 73.44 m
+401.76 73.44 l
+401.76 372.96 l
+59.04 372.96 l
+59.04 73.44 l
+S
+Q q
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 193.13 397.45 Tm (ROC Curve) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 134.09 18.72 Tm (Proportion of 1's Correctly Predicted) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 12.96 126.89 Tm (Proportion of 0's Correctly Predicted) Tj
+ET
+Q q 59.04 73.44 342.72 299.52 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+401.76 73.44 m
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 74.03 l
+401.76 74.03 l
+401.76 74.03 l
+401.76 74.03 l
+401.76 74.03 l
+401.76 74.03 l
+401.53 74.03 l
+401.53 74.03 l
+401.30 74.03 l
+401.30 74.03 l
+401.30 74.03 l
+401.30 75.21 l
+401.30 75.21 l
+401.07 75.80 l
+401.07 75.80 l
+401.07 76.39 l
+401.07 78.16 l
+400.84 78.16 l
+400.61 78.75 l
+400.38 78.75 l
+400.15 78.75 l
+399.92 79.34 l
+399.92 80.52 l
+399.69 82.28 l
+399.23 83.46 l
+399.23 84.64 l
+399.23 85.23 l
+398.77 87.00 l
+397.86 87.59 l
+396.94 88.77 l
+396.71 89.95 l
+396.48 93.49 l
+396.25 94.67 l
+396.25 95.26 l
+395.10 95.85 l
+393.72 97.61 l
+392.80 99.97 l
+392.11 101.15 l
+391.65 103.51 l
+390.05 107.64 l
+388.21 108.23 l
+386.83 111.17 l
+385.68 115.89 l
+383.61 124.15 l
+381.09 130.63 l
+378.79 135.35 l
+376.95 141.83 l
+374.20 148.91 l
+370.52 149.50 l
+368.68 153.63 l
+363.86 158.93 l
+360.64 164.83 l
+355.82 171.90 l
+351.00 177.80 l
+343.41 191.36 l
+339.05 199.03 l
+331.24 205.51 l
+324.35 216.71 l
+317.92 226.15 l
+311.03 238.53 l
+304.14 248.55 l
+294.03 255.63 l
+285.07 265.65 l
+272.67 273.32 l
+263.25 281.57 l
+253.37 291.00 l
+239.13 296.90 l
+229.25 305.16 l
+220.06 315.18 l
+209.73 324.02 l
+197.32 333.46 l
+185.38 336.99 l
+171.14 341.12 l
+160.11 344.66 l
+145.64 351.14 l
+137.37 356.45 l
+125.65 360.58 l
+116.01 362.94 l
+106.82 364.71 l
+97.17 367.65 l
+89.59 369.42 l
+83.62 370.60 l
+75.81 371.78 l
+68.92 372.37 l
+62.26 372.96 l
+59.96 372.96 l
+59.27 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+S
+0.75 w
+[ 3.00 5.00] 0 d
+401.76 73.44 m
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.76 73.44 l
+401.53 74.62 l
+401.53 74.62 l
+401.30 75.21 l
+401.30 76.39 l
+401.30 76.39 l
+401.30 76.39 l
+401.07 76.39 l
+401.07 76.39 l
+401.07 76.39 l
+401.07 76.39 l
+399.69 82.28 l
+399.69 82.28 l
+399.69 82.87 l
+398.77 84.05 l
+398.77 84.64 l
+398.77 84.64 l
+398.77 84.64 l
+398.08 87.00 l
+398.08 87.00 l
+398.08 87.00 l
+398.08 87.00 l
+395.79 89.95 l
+395.79 89.95 l
+395.79 89.95 l
+395.79 89.95 l
+392.34 94.67 l
+392.34 94.67 l
+392.34 94.67 l
+392.34 94.67 l
+386.83 103.51 l
+386.83 103.51 l
+386.83 103.51 l
+386.83 103.51 l
+381.78 112.94 l
+381.78 112.94 l
+381.78 112.94 l
+381.78 112.94 l
+374.65 129.45 l
+374.65 129.45 l
+374.65 129.45 l
+372.36 135.35 l
+352.37 164.83 l
+352.37 164.83 l
+352.37 164.83 l
+331.93 194.90 l
+331.93 194.90 l
+331.93 194.90 l
+329.63 196.67 l
+316.08 222.02 l
+316.08 222.02 l
+316.08 222.02 l
+301.38 237.94 l
+301.38 237.94 l
+301.38 237.94 l
+192.73 318.72 l
+192.73 318.72 l
+187.90 319.90 l
+171.37 332.28 l
+171.37 332.28 l
+132.09 352.32 l
+132.09 352.32 l
+125.20 356.45 l
+125.20 356.45 l
+86.15 368.24 l
+86.15 368.24 l
+78.79 370.60 l
+78.79 370.60 l
+78.79 370.60 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+59.04 372.96 l
+S
+0.75 w
+[ 0.00 4.00] 0 d
+59.04 372.96 m 401.76 73.44 l S
+Q
+endstream
 endobj
-2287 0 obj <<
-/Type /Page
-/Contents 2288 0 R
-/Resources 2286 0 R
-/MediaBox [0 0 612 792]
-/Parent 2262 0 R
->> endobj
-2289 0 obj <<
-/D [2287 0 R /XYZ 72 720 null]
->> endobj
-2290 0 obj <<
-/D [2287 0 R /XYZ 72 697.999 null]
->> endobj
-2291 0 obj <<
-/D [2287 0 R /XYZ 72 353.961 null]
+2562 0 obj
+<<
+/CreationDate (D:20070601024003)
+/ModDate (D:20070601024003)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2563 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2564 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2567 0 R
+>>
+endobj
+2565 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2567 0 R
+>>
+endobj
+2566 0 obj
+4817
+endobj
+2567 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2560 0 obj <<
+/D [2558 0 R /XYZ 72 720 null]
 >> endobj
-2292 0 obj <<
-/D [2287 0 R /XYZ 72 358.222 null]
+2561 0 obj <<
+/D [2558 0 R /XYZ 72 220.777 null]
 >> endobj
-2286 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F79 926 0 R >>
+2557 0 obj <<
+/Font << /F167 1942 0 R /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F73 1467 0 R /F69 550 0 R /F75 1442 0 R >>
+/XObject << /Im17 2556 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2295 0 obj <<
-/Length 2757      
-/Filter /FlateDecode
->>
-stream
-x��ZKs9��W�(WY
���e�v�2����/[�=�Rۖ�GJj�'�~��bw�e�q���~�"� ����_����.�`����
'/
��kxZ�{����T�ɢZ]���ן~���/�R2�ǡ�Uu
�1���
�!�J��p���y1pQqȒX�1��
r{9�nR�`p��˟��j^o/�d�^m�q�yq>k	͜ty��v_�`j����ĸ�b���u�,o��w���ڧ�w����{��3f2���r��&,��g	(u(�ο_���
��� 
,	����XT�8"M��Xt��`F��fZ�8?���3��%8�N�?��JM=QP��>�����NjM�\>���=�`J6ڬQ�����L�,7�TW�����%WO��8g���X/0
��گ���$�A�[�R�aB[�]N
Ht�P��_,��]���Fw�/�}�H'�[���e��^���h�
1����"=��d�f��4S��_Nu
�~��3m��&��k�<M�h�Ͷ~�HO�io��*���J�cvi�'�5��M��&P�il�g�oq at r��sO�}ڧ=� a�I�[��@��)�*
qùXh
->��D������2=&�Ѡep�]����D�Ve	��p����fQ�V_���d]-�����,���ٜ/�瘱�I nH�F
-N�
�
o�����*�H͸m k�>�?���r���f��/�jS��H�\��9,��|�̞�#�w���;��>�n��O
rl[�0}j�~^��'8
D]k��rU8�{B�i�Px*a?���Ri�*(��T��A�R)ٍ0�b�pE��ֺ��[ܹ��j��H�Jd�"
D=�
-d����̘��n���� kE�h�p �K�!��`6��ܝ"���.FdWm�"H�����:�~��A|�b^��o�w����
�OL�iߎ���F���]gk�@��*
~��~���h$�ނ����M�(�6
�ƺ��y{/�Oz`��f���]��8�eB��EX=�8X�����Op�WY�L�&��W�� |H��c.ۅ6�9�4��~k��C|���j�h����f֟�1���:���L�2��b���e�/�o7�L��0쒆�4Pf�8#[��0芢��k�����
Owܜ�6	66�37ђ72�����f���q���� J��P]1J��ݣ�58'�0��M��;{Դ��ir��*Ĕ�VXK����d�&;��
-�����D-[;X��/��'<B���",�K`�� �&
�ϼr�|�U��D�����x��W"����'J~V�v�tءe��Oc�T~��Cgkw)eO���58�E5�t]�{�A����d���v)�Ӏ�
�i�wU��D��P�/�
"���,r�^�5��]z�H���6��P���T�b|���-������L�Z�Z�z�3f�}�d��p?#��W$IӀU�,g��'$�
��)��o �
-�`f
�.&^���A�t/�	�
�H��hV_S�� {¡ҫ��٠mN�M���Ȥ�T�x�V95
�],�c\�Y�b��yH�cd��F	P�d5�me
��-��|����F
?O��y�Go{��Bzl ��Ϛ��W�K`�NJ�X�ҲŤ�]��u�������_UAW@�۪���|���*�j7y.��Y�U�)=��/��mĎ�
- #�gۺ�ͭ�\컋�ކo��x�Ͱ���n�h��,�6]糺��`�u����Ʉk��V���N�c7������߀
f���u���!�|� �7����'�SJ
>RU�"�91�=%�9P�H���0���3�
-�T%,�N�/L��H0��cv���Nq���y[����}{Z��
�Ø�`v	q���4�؞Cu̠-��x޴�����-��('����ֱ̟
�¨P/��5
�)v%�%�������f^�'�Fg�C�;�2�����%����[u{ٱ~H P��^��A�A"�TfZf����:^S�9{����+�U��뾮ֳ3�]�I�{��{4Z�f���v��d%HCʊ۠�ߡ��'�9\���)`���V
�Qxn@��Tz��wq��uFA&D�Vߟ� i���K��@"�vi�l��:v w˿�P�㍷�7��{7Ym�w@޲�w�/�s)���C^���gE"s�M�~�e����V�7ɏ��m�
q �p[�i2 j;�b�r@��|�;

**���JmMB��[�_: �	��ۺjv#��m��
��7"B����gNm�S5M�Gǵ�$�1"��oU
椂�&��r}Q}I��]�,dR�
�x|��J��Qh�ԡa	_v˖Jt�
���9�����X�ֽ�k�ȌL�9�EQhAr�\>��
iU�/�Q/!r�T�<�0� ���3!I)����~�>��>�3\k9�j at Y�ޕ�q�H�ō)Fs��a�x �D����p����F��٩�����ӫ�">"���
-�y$[��coW8q:�
G��1%��W�)B��	�;L��F�O��)H�Yp �ʫ��^'�
Y (���FK�-������9�d��
�㖗��ҍ����5Ƒ�\�N�!U
�!I�	C
b���)'n�(����a���ِ���#v �k{����׉�!�`n0f�M$pU���'���2��vr'WKH��J'Wf
�"��JO�ǻ!d�s�Nbd�`��	Ñ���6���F-�ecߔ��<�s�
�mݐ�.4�Ɍ�@�J>H����7�U�ؒ �����i0L����ߣ��������endstream
+2570 0 obj <<
+/Length 2377      
+/Filter /FlateDecode
+>>
+stream
+x��ZKsE��W쁃T�ü�rIA���EA�9(�l
~ŒI�������$Ge����jw���__w�^�̾~ɤk#N��伱�(�j	�p�����3�xs���/y��
U
�kN~_��:�b�g˸B<.�|�l�����j�
+E������7�m��&�%F��g/s=��K��ׂ���o��[���>
�D!� L���P-��`a��!��:M�lZ؟�iE,J(M��9.j%N��g���Ͼ;�1�mXÝ%�6�8b@�������ڜ�h�Ìil�
�)��5�3#�a�׫�ϳ�:Rm��f�^�I
ICm��,
+�r��_�����S�����^�
ll��O)��:�K>�T�xE�	A֯9�LVTn7�F�
+%E��>�a��*dZ�B�A?�D���w��ދKq�?z��%V�&x�d�-\� �_�C���-���]�/�+�Y�8� ۟uOU��a������+�[��M��1���R��}�4�~�]G��"��Wd��6�~�ٍw�
8�1]��� ����g� ��QٹHՋ�JH=H'��F�
�Z��hO#Ƨ��-D�������+$�	(!�
�	���
!���Y	���	V?���^�ӫ�Ȏ1\~��]��
+���ؽ��a��c�;����}z����������7��¸.X��.��
�
+
0JPb��S 0������U��E�C�����=��ګ@'�z|w�/\��
��)�ٻ����"Hm�AO��Lk��;mp4&A�LDGS�翍4���x��ؗ9�2�٠��z���!��8�H�
a4��w�;"��^I�J��:	H{�݌
�9
a���'����#p��h��pPl ���<���'6玡PPO�ǣ�ݏ��xt懡3ۏ�6C�o��� �5\�J��Z���Y����(�BIc���^d`:��y
+���-%��g��z,����΃�6�Ϸ11S�e�Qt+ (�e
��$k�Ď�#�gl�䎌
��L%c�%�ܟ��s�iQ̑)�fn���U��"i�6Z"U(W��#,�׿O�=|G��e*Y0;�b^@��]����C��]��}fO� �B[���R�:ʀ�cs�0���ə%�}�s�>|ۀ����G"T�h�U�„[R ��r�<�
ű[��-�}W̎�W)$pո�H�"&
+;��&���/	�%��'<3�Kx�-����?�OA/`�;��L���H�U�3�:����	�g�A��`���u ��654�r���F�6�*�
+k&��.�R�?��AE�՞�5/��U�N`���++>)�R*��
�~T���S�f,���������aخ�"B^��W�E��r�*B��)����X"U'p��R���s`��

�cAi|�
G
��"-A<,�WUY=!@O#d g�
+
YW@
��UO(mS0^��v�& )R]�N�{�M<ᵇ��6���h`Bl7IĶ�.�ъkbM���<��H�>�E�4 �=[�
p���A}��A�A��`����2�%T���G�����$�C�H�ͨ��N�"$"K
	����Q=��s�oaM�6iӆ�-+ҲL‰�]XւJ
+���%Қ��!kI87�Z��1� ���h��VC���Q���#-'�B�	Q�"��w"ʨ�Hp"Tz�v ��t`._�RD����A��iZ񼖾�
+�	T�a7����uC��*��qE�3UZ������
�]5�<` "��=Qp����3J(*�}s���A�
+d�(��@�$
+���75
BDt�|Q�@ w:=�
��\`���!��n��S���KU�a~�h��c��t>`��g	f�Y��:0� �5�^�cS��� �h�i�i��b+`�̷�
ivR�ʼn�E<
H�v,)�rڹ�8N|G�N!��tN;���G��
+旅e#s�*RDzr��F>b�����"���8qA~��m�z�+>Lˑf&�nY�
���B�lq���i�"?ddS
�
�w��S�,-~�G�<��~����7��2�� 
�O
0��̿05���y\?J�P��<�����;�	O�/4�3����Mh�r_��'Z��.
΂���r��V��ڟ�)� |�w���
{��Q���OM�\��6�4��`�P�n�`�����Ua?��Ws�8A����������M7^-�	|��)o�H�ߘX�4���9�T��i�
�����m��y���C:_�&;_]�����N2�P{{G�#k����:B��h'�5��R���i���/���Q;�_���� ���o$�f�*�ob	9XX�������Ϣ�Gw��i�_;�~�!��bϣ��*���v�㟺��ϋ���a}ʄ����i��-�i�
obak�;�V{�'��T�^��@b����p!����M��o��[endstream
 endobj
-2294 0 obj <<
+2569 0 obj <<
 /Type /Page
-/Contents 2295 0 R
-/Resources 2293 0 R
+/Contents 2570 0 R
+/Resources 2568 0 R
 /MediaBox [0 0 612 792]
-/Parent 2298 0 R
+/Parent 2573 0 R
 >> endobj
-2296 0 obj <<
-/D [2294 0 R /XYZ 72 720 null]
+2571 0 obj <<
+/D [2569 0 R /XYZ 72 720 null]
 >> endobj
-2297 0 obj <<
-/D [2294 0 R /XYZ 72 700.324 null]
+2572 0 obj <<
+/D [2569 0 R /XYZ 72 588.91 null]
 >> endobj
-2293 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F48 554 0 R /F52 1472 0 R >>
+2568 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F114 560 0 R /F126 638 0 R /F69 550 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2301 0 obj <<
-/Length 2161      
+2576 0 obj <<
+/Length 2578      
 /Filter /FlateDecode
 >>
 stream
-x��X]o�6}ϯ0�>h�
KR�D�C�4���M��f�ƣ�FH;����/i4��0Z�ӾH$ŏ�{�=<�˫g߼��3cT�����,�g��JGP�����
��
��H� ��i_t�_���kOF볥����8�jS���
�y���Xd��M�
�t�;�7AU�pu�l��5�s�5��3(�u����ƭ��+�u�n�K_65��m��J&��2��u�m=�R�۲�S�e
-��M�[�͙HEQL�+>g�]U<�!6J�Ly��4{nl����D?ṛ=���
-�.�θ�;(.���a��������9V���<��b�r���o[�g^�������0
N�c�V�3��W22'f2݉x�VR�J�)��n��o�-T�me]p�'�@�����p�Uv]������K�cm앵)X�ر_Z
:�m(]�'���<JT�8P��[ti��x��b���U*?�������;��l�O�;B[ޒ���a�[\m��b��b�����%_�ܜ�
������^r>
y(s�8�z単L�W�qL��)q�u?GI�|�;V��ar*pI:
�VI,=���*V������a�#�D^��|H\d��8K�Xjș����O�~����\o��@��)F l4
c�]��i�=��f�N�Ԋ�
z�I������=������ޢ�7E�VU�-�i�a���d��*m�#�J�ZD4�t���LD}�t�(�G�����0ʋ���iyf��spUB��~
�=l���Q���L��F9Q����9��5z��=��N���>��4XN+=���0��M�4
�4��i`7��g����&|B
�tBG� ��rz
�D��?�Tm���T;Kq�Q*�d���U.�3E�����	-F�
h+D��k��y�;��i��q�}ח�)[��V�����7̈́��.9p^�
N�pu
�L��+
-5��r�Av�4k����������G��#鳦d����A
�1y�"��W!���MC���pX)j;1��hW`�E�}i�ҤF
��)���G�/��P[V�y+$�oMI��)
-�	-����Y�!�
)�a�I]�[��l
,~�w���Y#��Y
2�6b�LtC[��l�[5����I6�T�cR���SqG`��@F	�ͪ�T+�3��l�'�rp\CLUd����S�1���f֏��Mz��(�\Fn/�He�
����n�m1��k��t<
{
�E��8
J^��W��׹ا^E��3����:q��{:4��� c�O����Ѡ��+	^���k�S�����ɋj�H��P�Ch��O9ߗ�
-3�c2�P�I��P�����uƗ�{n
�F[��yY4�B�FF�nLn��V�I'[��fH�]�NY��-�
$��@G��#yW�+�9���$�A ��
%0&� �m�+mt
�
E��H@ �i���|/
-ji6��~X�x�]}ƥ�
-�
��w�`j`�9Ăn��8j_���v�6�#,�\!Y

��py�F_�����'l��<��QMC��b��uޒ ��+%�d-IkZ�%"�w�tAp��2�A����]*�/(a˺V�{?�Ο
-&���)7d4�TD֮*�N�wU����!����h�s�!^(~����!(��J�
�~)o�
}5f��
�#��N�B��]���N��pN���n��[��6ъ�˦&� �� ���T�ң�g��8;�$�t�3���s\�F�S�ũ4�V|�)��d�F���-��#	��N6IA���n(�GX�:�:�%p�
� �Y�n^@
-��p�\cp�s����R��-57�\���h1\�oJ���$����g~;]d�@
�
��UiˁR��/x5�~��	|�p�M1 �+�0�4�jr�b�%���v3 ����BJ+*����FI�s��
�
�^
_;4�'i�Pܑ��(�n�6��4�k �|�"=r�ӓ�\�AH�]�	�{
��
+3�Ǘ�TyXpC���ϝ����$� i�D�ȏ��o#G"��7�VZ�<��,"(.�e���]�����_EB���\H�=�T�Ԓ*�/��)��F��ϩ@�dD���X�r0�����p
�����7��ߋ���M�0g��G�n<�"��쇫g �J��endstream
+x��ZYo�~��Bf��ݳ�>l�H`"$H�<H��ft���d�oOu�1��
����%�L�_]_��w�o�/��Y�����	o8F��ƱF���?g���|���?������R�R1)�I�C7a�'���?VL��g��8d
��Z�`I2����BZ>;
��Ꮏ{3����
��?jf�|���U|��l�s[�}�k����8��c�l�~h��K�m?�%�����	"�v��7s��
+G|htS�M���W�f�&��;��
w�A��*����k�/�~���O`6g�5��bJ\tB~Ŵ���e�����5�&����)�Q�=�/�kg�;���M�
�	kȨB\��O)=�ר2 at cK,�\m��M;Ź�(Q�
��m�%:�&��
��?�ÚD���D�$ .,ӭ�%s��q�*[�V����~��wg@�9�I&
'��6-���{n'���kg���w [c
�l�}o���.<��M|v� �����Uu�[Z0�e�V�e\ԼZp��/�"����Q
Ž���Se�*�GG��_G0�[
�1 �(bA�A
��l�8���)�CA�~7���U:'ȅ��/V��p���>���
IП����6�ew7�U�~�Ƴ�52�sY�ͫLM
)t�w����u|��
�]�QaҮ�q!w��X�p4U8
c9WE$1l
����℟�Ixﶘ�D�V
����]*!�a�ӄ���6�R�Q�G��Q��>�Gwq�V���u��T����T�ߢ�]�p�SҀ�D,��YǏ}LFJ��
�����h��!��
!�)�f����0 MvQZ@����Z�j
.��ͥ��
J�F!
&�F���q|P��r�[��~A݅���� ��#�;_�gO!f�;�q�U���
������Ւc|7,�"�%ڰkf�
+��p�,���7�18�f <>���|�4�K]�!��.��Sa�
��$���
ni�DTt�
g*��]%VR�b
�r�p�
S_�r3�Y�R��!`u�Q�
vŘT���ʖ�
Ro�� [FA(K�X��:t��	��-
k��Vİ�+1J�%-�Tm��o�P|R7|�6���9�>ӸBٴEI�����g;�I�n�󜲯G�L���;�b�ؤ;J&>�
+PB9�e�q��@/�0gX#����I�S*�g�;���1�t4��,~�����8�?i�
*Ȗ'z[S~5|"�����&U�!���H�o	9+��
�|LA�A \�/K�C��"A�j��fy�d���> �0'�M��	�+��\�*���X�B�ٿ��&��T�<&�6�
+E���)�_���4�{.h~�S4��E���m�S5#��_+RҀ�0H�w�IsJ�PG�S�����tA,�1�
m��������s���-0T�1�')o
��Pt�qӚ�F�����Yd:��1�m����@*wq$ݮTǪ$�ϵ8.��OBY\��3\�%
�l�/j@�
�\�9�
B
+7�Ut�r�mVH�`[H-����r,����h���
<o���
p����\Ȅ�
+�!���690�?4�W:F�c>u%J�����rEL�#���Is��#����R��/V�.��෰�S
E-*5v�)�(����@
+��Hw8� U qLI=�a�x���K��7������r�����v��b��=���C���ҝ�I�m���d	����4��WŁ�էНE��W��E\(ջ#
ۧ�F%��|$lߞ'�5˰��`�b�;"I���Q����*�pF����*
��X��BS)ύ�Djv)�4.ƒU�{SGwPd�ߐ��vT%��yT��'��� WL�˃e��2�ݱɴl�Tz(
+�
QY�!
ND�K)Jo��F�F��뾠ܨ@,�8��+�oQ 4�ii"(��T ]�s�v= �xO=����0:��ޤ��o��,�A�0����A�UX ��=e5z���-�G���M6����wC�
����(��G����������
�8U�X&5?2f$cy�V�GC9�M�|�2�p�kT%���l8��f�q�.� +��m#jkpB�.�M�r���y����2�0r��m��5fx�Oeu����
+s��6��8
�Z�>�?�����
+=��U�aN��f��>߰�~ܓ0��Q%���s}*{`�J�d���Tn���(M�j���y�ĩ��ܠ��l"�
+���%�
��}� ��yK�{Ȫ�-�������
�����]���2�I��6#���g��T}c�UN*�, e�v6pO�_��ޯ,^�lj��P��H�Uō��S[^�Sh�Cz����UB��#���5Ձ��������<L��ӆ�_l�by����9' �I�|
ľU�c����׳
/�T�k8�2�@���:ٖ��:2�R����b����=¯���a���Sd5i�+Tp1�T�*м���qϩ�؄�}��x+)
ɐSnRw�L�r��Y�͌=��`����}jz
A0 B��>{��e �
�/��C�Y$���� �l^��j�?z�
+����o���-
+�
x��7�~1B�endstream
 endobj
-2300 0 obj <<
+2575 0 obj <<
 /Type /Page
-/Contents 2301 0 R
-/Resources 2299 0 R
+/Contents 2576 0 R
+/Resources 2574 0 R
 /MediaBox [0 0 612 792]
-/Parent 2298 0 R
+/Parent 2573 0 R
 >> endobj
-2302 0 obj <<
-/D [2300 0 R /XYZ 72 720 null]
->> endobj
-2303 0 obj <<
-/D [2300 0 R /XYZ 72 697.999 null]
+2577 0 obj <<
+/D [2575 0 R /XYZ 72 720 null]
 >> endobj
-2304 0 obj <<
-/D [2300 0 R /XYZ 72 361.553 null]
+2578 0 obj <<
+/D [2575 0 R /XYZ 72 606.338 null]
 >> endobj
-2299 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
+2574 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F53 1695 0 R /F114 560 0 R /F126 638 0 R /F149 920 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2307 0 obj <<
-/Length 2307      
+2581 0 obj <<
+/Length 1757      
 /Filter /FlateDecode
 >>
-stream
-xڕَۺ�=_1ȓ܎yE���HӤI�7���Md�
��-C�l��=��'7�"q9<<��?\���]�^�T
_\�.Rs���
--��ڬt�4|��_W��]΀�H��\�z] ����Ax�U&��j���4��j
�x�X��Q
?ኻ��Ƶm���;6��a�75LN�H]5�z\��x
�K̂��n�k$�b-T��V�Έ�����f����4�HD�a�q	.(
߆�6��
-�)<Vl+j�i�\h@
�k��$�d,��-^���
Dp�w��]KH+�?
�c�Z�4(݁��
��W�Z�<�+�7�$�
>}��u[u�oV10
zW2l�<�yG�TLJG���m�E��\C܃v��*k������G�n���@��xx��� 首W
Fp��CE��*A�h�`[l���x��`>hQ�F�#5$X��Oe�
,B6�t[��#y����f�nNn�1��v_�|t��?��Z�Z�mW{�����
�AY�
�Ҧ�XٰX�mD
@�n�7w�s8���.�x�Z��	L.��(��ױq}�(����y4��m3)
-�b/`�v}�L|	�p�N$ܚl�����e�S-l��Q�h�
W�a���1�PiF���t/^򻛢�
��B�
b�������w<�-L�8��d��B� ��`�����������ʲ.
z/��/g����8#��
�a�$�|��H^��{�z
r%q����A�w>��
e�-��Qd��QV�J��n���t�%��
1����GX�8��Mݾ.K
�
����������w�غ���
c
�=�bW20��G��A;xAq*)��|���.=v��TEa*��T�t^��&���Fr����,��Fbv�������3"<��g\kF8
�y�R�1�2q���!�Pj���J���8�󑊳��}1:��E�4
�l��
L�y�%�p͔��B���U�X���
ߒ�LN�{��	>o}��*M��͂;J��i2���'��ه��*O���r�8�m�J��$0����J��d���wSQA��p�t��*4��
�FEz�:H����*x��9�?��͵P��𹭶x�Cz
����
*	���L���u�z�h?;H���@b�	�kI<
�(gƒ3�`*B>&e.id���AJ&��O��yG��LD��J�IX��sMݲ�R�n;��'9WP��l[7�v�'��F
Y~��`M8��ޠ^���~�� ��ǙI �P<N
��u�
)AȐ<��Л�5N�f(t�DLXA1x��kr���q����`U��
6T���X�H�L�N�(�ߡbM�`�ݞ׸ȃ�2�"�P�L��'+�s��
+v�t�v�_샨�Q�nNuQ]~G�C�~���$�����㘌
D
-HQ:����B� �7�n��޼Ǹ��σc%ْ84Ι�%�lx4��o|��O���k:�W�~�kt	.0�(G�cHS^)�Pi����}����c��O��6Dg�th�t�m�ЋSݜ��L�*U<�5U�{�r�[�lhwh����Sٸ[�Cm�
N�Zb�W6I�Bh�#�[
2v�|R�` ɬ����i��e�E��E^�i߲s�	�_Xc�T�{��p�ȉ���?�ǃ�g
7a�~�%�֟��G�k�tc�If���4� H��+�b���@MC�6+��=�ت�I�QN%��8#*
�:J����8
���g��>�ʚT%6��.dk�
ߛ9��B�F
s�O
-<ՇͶ�B?w/8�S�f4(y�h�OV�|H�	*��F�"9��:X����b연:��/C$���(}�-Zzc�)�कg�m�����৑mG5̱���1rvDF���$��+E�M��֣���T{z�,L��*����P
�c<�%�&
n���=�[��xle|Ƞ���pw�c��2Λ� U����/�A7+yk��]S
�o0H�\f0
�O>?�r5^�X S.��3�^�)�<G ��
-�j�Y1�UI
-���T���E)�������ӄ$4rb�̅����Mz<�
�����Q�B
P\�ь�
L�W
!�q��VCU����a�
�%��vy"fl���1�����a25��Q�\T���%!���&�54
-�8���`S����v
-��ݎ��T՗P���#�0V�F�(�Ըf@�'�&�
��x��}gæ� �C�i(/K��#	~�&wl�R_��U+�L	>O/�
.����
j�D�""��]q<�[�/=�P��Q�����j�b|�ĩĦWO<N�
�>&�*
S�\
foS���O��b:1��2.�t�bC�o�^�P�>�endstream
-endobj
-2306 0 obj <<
-/Type /Page
-/Contents 2307 0 R
-/Resources 2305 0 R
-/MediaBox [0 0 612 792]
-/Parent 2298 0 R
-/Annots [ 2311 0 R 2312 0 R 2313 0 R 2314 0 R 2315 0 R 2316 0 R 2317 0 R 2318 0 R 2319 0 R ]
->> endobj
-2311 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [292.84 424.746 326.764 438.694]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-2312 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [333.197 424.746 358.601 438.694]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-2313 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 316.475 501.89 330.423]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
->> endobj
-2314 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 316.475 533.192 330.423]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
+stream
+x���n�F�=_!EA&�]��H�
7��Ԉ�H�Y�,!���s�|�ZrhSq
�+�13;����ţ�_�qc�����
f.q.i����D߆^�@�k@���R��kh��alh��B�&����xv��9�zg���Hc5�e�����S���Eۏ�v�0��f�ٚ� ��
yT���0�0���
�1�z)d/��R��5���=�f��O�Y�'�-~��Z��<)�b�a/��1�i-�hH������a�����/+��J
���~4�#!���S+�'Y�Z�p`m3�=�f�k8��?up���o�ܰ�!|
�pq�tvL����
���+c�<��
+wt=`��ڞ�ucЮ���1�
g�7nZ�I��V

+ /Bը�m���|���o��=3�Uh��3#�a3�*=��-�5Rom��`�;o/�5���m
ܤ�
�W&�g��iC+cN6H�r���Ͷǔ� �$c<��E�e)hW�l��E���v��鼕w,2
*��T
,C���L' O���>��dB Sa�w!���>&�ѕo��}X����`R��*ғ�"$��B!Aӷrz�|��3/�������28
�G��%�zh�������c��V��=�
.J+��xG����%�_�6p����~����p�C�SXY�
�ö��#�Wgu!�lR�P��HD�FS
+}P�+��Y�Y.j:��n�[lw�ɖ׷��
g6�U�"K���#�۬,����In,�u�.܈Y����H.2��rAK
+g�}L��b��.:�R��M�� ��b�5���k��ټ
�5O)���>���U
+�Fh
�R��"���J�V�~=�
�J�����ʁ
gM|��ؗ×�A�F�#
+��[���Ͳ|�v�\Rv��lr�W�"v��u6����	�u���
]3
N"/�D�EJ��
+F)��

���r��2������&�"z����x�kF˾�n�d/Z�!�ג���
�O9Dw9��F�,�PBվi�A���ĉ��a2�u��NnTZ��
�n�)n8m!��\q�ҹ�G?���rA�]�
��=��<e9Ǫ7�p���F�O$���y�֛���
VR��T+Z�ҊD��J)TT�
��B���"�`�h�}
�@��h����W
z���۩q���Ų�"�{��ӑ[x||0n>�h_&��T5� �*:]+��s��[o�
@H>?e\�� ��5w�Х�W��m6�@0�nĤ
Rf�Q���3;��&�V*�;���PY%�v�,�r���<Ƅ
+�e=���S���z��
S����wI�g��m$=��7�*$� �Pqt�
��ф;�T	;n��F��n)��}}wә��@$H�5d�8aA~�+��u�A�����
��76��N�tx��a|�T���+ݯ
�gI�����_�Lhׄ�w
����rɯ덾��R�=��v�0!�ȇ?�	����Spi�䉋`
�~��

�Ixu�*:i_a�glk�A�i�b��@	�.����Ͷ^��}�_��
H�JW�m�v��Ʀ����CpB�6�8�@�;��Q+��ѴZ(�S���

ǰ5�,�k��
�*OL��[p삹=uN���^��`n�'z|
�X��=7�sU;;	s>DM%7�
�<}�U�@�����~��w?�]rM�F\X�
���W��{�
�opt�
,���,$=����:��o��Q��^��q�V�~_�+�8�oæ�_��6-�Q�ߚ�z���x ��GO/
�
�k-cendstream
+endobj
+2580 0 obj <<
+/Type /Page
+/Contents 2581 0 R
+/Resources 2579 0 R
+/MediaBox [0 0 612 792]
+/Parent 2573 0 R
 >> endobj
-2315 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 300.339 540.996 312.959]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
+2582 0 obj <<
+/D [2580 0 R /XYZ 72 720 null]
 >> endobj
-2316 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 285.229 175.918 299.177]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
+2583 0 obj <<
+/D [2580 0 R /XYZ 72 586.989 null]
 >> endobj
-2317 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 285.229 207.784 299.177]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
+2579 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-2318 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 174.692 273.869 188.64]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
+2586 0 obj <<
+/Length 2315      
+/Filter /FlateDecode
+>>
+stream
+xڭko�����
+�@=���+H
�
� ���h���([8�vE���흝���KI���������W���QJs!�\���j}Q��JԹ0��w&/e����.�s���2�/t^��B ���ṁgρw^����
+OOϘ"�M�k]2��/�i��Q+�	���Z\w�
]ُ#�=���%����Ž��3Ćw�#���2o
+�c!
����X�2We��LȄ4ʆ�{2�' �u�?\��[��_�4�
nm	d5 TUv��������m�c�w0��KU�&D�tY(�} 5{[��i=>fc��\�HN�h��������
+Y�̅4�1%
+񁉷L�
N�G�X�9�8�˒�0����k�X��p��J�e<�i�Sw`B��y� '
9�	�u
+~���_.
+]f/k�0!S;f�w��M=2s�~���"= ���UB�����M�B�W)��@SpyV
 ��v���"4���p�v��˂����k9P	�F�I�\n�+�N��7&�T�@�ߠ>
]p?7hO��׿���'�H���(:��t&�0��_���q�7�ψW����7�x ��X��I���ȁ��2��)R�Y���
!�ޱ

��?�u�oVh��X��*�Ǜ�{���x��%�鱶�ҳ�;��ϵ�|�y0����(�n����
�=����D��G�?9����'
�Bˈ,¯Yp&<)�S�BɼPx�_�)�Q%
+��|�}�k*6�2�!"��uv�=
�)"�]T��z3����[����O�z@
��g��T��ͻ��/�t��W�:�S떥�e*S�u[f"xP��k�nca꼨
܇
l�
�a& �=�e����vAۥ5��S��{�+�*b�IUo�Ĝ��D\I1��=�)5�C at Q���B�2{�.�.�
�]I: �8jSg���-�Po��i%U	A�F�BWo�D�~A�Hf���+�\���C�::�
;
m�7e}f��N�=�/��
��0=
��u�4
 ����<�DJK�"�Ɯk�u^�l������HW�#zri3�ǁ�k��6�����Q�M�^I���\���Q^�0��<6'���m��ʌ��MuN�nD
a
ST�
���r�
�c�(L��;[���àE�F�)�lJ���mYɀ�[�-��g;(%�)ר��}Nȱ�M���=��En�"ҁ�['�.AF�\is��y=��C�d�@S
	O�6�:[R��A�l
,��
�Y����&q�v�؝#@�[�T0�Å�p���������!Z���\T�xC9@
�����\��������IVC�S�2��+`��
}�{�$�q��9��eQ��
�6Ȣ_	;��@q�uw�EpQ�0�O+����
��.+��㐝ؤG0M��
|�&N�W����C��:�rd�dHt�9efW��wFg{by�G~C.���C�=��)�l u�&�=��O�TYq��`�4y]8��l�g;m��]��y�
Ϲ�^f����| �l?���
�0ܼ'�����F��� n����<�I�m};n��	=�N��Ⴔ�$Ŷ7^�����B
YK�����'��_���/
�]'�C�=]��+�;�Ŵ��U�1|F-=�_ڥٸ���QM㼄��"�N@��NX�]�8����j\��ĉi;�NHϷq�Y]:�H��_�[��OyK�<ڶGt=�x�s¢��jR�&��ǰo����:hP�����{���8��6a�A����(�J&�hO
N��84�J� ���:�ZM�E��%�L�N
�D
+h�=F�N�
�Kx����\i*��e���d̮9�n��c�%+�y:U�M3��ŗ4/�jּ� =2�)�R�
+2]D%k�ZGV��r�GO6�:�]��ۣ���3h���g�m�/	��{H�}�AÚh�+������մ�� �~M��� D�K�+�,���w�ɖ�ȅ�|L�6�%f�-�I:�
pM�ߎ��߃g�)[�:]U	�S�q��t��.)yH�����d�(HJm�,䳥�Խ�)M㢓$������/j��w����$��܃�»{��m�}��;;��x�����jY�)��"�߯��l!mL囚�����yZ�M�$:/��%��c��an"'��B;9�j�ڌb��싾���
kk9��:���|�jw�X[���\�ހaOK33V[��:8���Z&�v�1��I�D�
�8
m��aJ���\7��j���n��|{g b�E���yE�B��cV�*�>�b����|z�?��z��Oŷu�j�
��
���@T���/�"oJ����k�����-Ļ���!�F|endstream
+endobj
+2585 0 obj <<
+/Type /Page
+/Contents 2586 0 R
+/Resources 2584 0 R
+/MediaBox [0 0 612 792]
+/Parent 2573 0 R
+/Annots [ 2588 0 R ]
 >> endobj
-2319 0 obj <<
+2588 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 174.692 305.735 188.64]
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [217.501 649.568 240.272 662.111]
 /Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-2308 0 obj <<
-/D [2306 0 R /XYZ 72 720 null]
->> endobj
-370 0 obj <<
-/D [2306 0 R /XYZ 72 720 null]
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
-2309 0 obj <<
-/D [2306 0 R /XYZ 72 575.425 null]
+2587 0 obj <<
+/D [2585 0 R /XYZ 72 720 null]
 >> endobj
-2310 0 obj <<
-/D [2306 0 R /XYZ 72 493.333 null]
+2589 0 obj <<
+/D [2585 0 R /XYZ 72 612.198 null]
 >> endobj
-2320 0 obj <<
-/D [2306 0 R /XYZ 72 137.598 null]
+2590 0 obj <<
+/D [2585 0 R /XYZ 72 530.493 null]
 >> endobj
-2305 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+2584 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2326 0 obj <<
-/Length 1836      
+2593 0 obj <<
+/Length 1828      
 /Filter /FlateDecode
 >>
 stream
-xڽXI��6��WA61").J�C��h�
�
�i���Q�e"ə�
���=��%��q���y||��6���<{%�s�+5���15�ei�����e�V�-�z�^��z;O��-��������^�t�#�&"cY�;��ų�W6������Ih�f_�,W�����w������O[m��g����?�׏�φN���������?+���	�\k�'FO��]Y�M ]�bU9aH�
$�^��:��S�Ϫ�%S�����&U�	�5M����d>�ٵg[�q�:���`�`]��,�ޖ0��"���Ǣ)W�&��U6�V;/��LW�V����z��W��W�<�wU��S�j���v.���	�����-�M�V_��A�5�ɡg��������z�%I	�K���:|�'
%�u� 1y�O��8q����S^�C/ޑ�V�ۣxh$t�
	��_Y���'�О�۴b�ִs���w^�8��&S$��1��
��F5���)�y��d���Y�jyw�I�h˥��*`gW6ޢ��6�R3-.!柫@�I�i(~��Ќw
�/F
���u��nZ�YV�J�>�7
��yP
����M���9Z� ��R,�:����MH��
f�0s7��
�
��(&����\�Fr,6�90~��I҆���Y�1�%g����ǖ�վ`G;4�a��(�!	�Ƽ™I;�]tY淂t
-xjZR�q���i�����e�p���X�H���!�D&��{
p�*
�uB��)e��ひi�s��8�V( �6�e��q6妍]�N#�:py
�p̙�,���'�b�*gR�^;�y΄�d����
]�eX�@{�	������ ��g���ȤA�}O�)r�X&z��:�		B�nq�LZ>��'�C��
$h=�k�s	���a�,_F��f�+jK���r�L�Q��GN� &��l���G������#�¦‚?�49l)��������t����ד�e��[�S&d>]O�tmخ&o'oz^I�,p{��Q,uWj�t."j�<d!�Le�
�Pɜ}�6xXp5���F�Y�3�ОU��a�g��)�x��I#��Ӝ�O�6�3Ť�gi��w�
�DI1�Q��B��/S��+?%A���L�dn
���H$�T{����&k���I�Vc�&E�x�L��6�$���dz��Cp˜L#�w�@����x��6Q�/��r'�f�'�m��LI [...]
�ar<vOqD<
]V����f�Lt�=e�F!�>�Dc��Ù��q5FӖ�.�6�M[bh��J�FT�
-]+5b4r�A
�G7�D��p�:4J�������ӗ*�(5'J�T��T�.sF� q�L
��,p��Kw��\�q�Z?�C��x�F�		D(K�&������nb���<�r���_�ޓ�)�l�G:X�
,�rǚ:{�l?��q}?؅���H�R��]xh��
�������
2�䲷��1�)^�;���$Ӭ���&Jw����3v�Mko9w!�νC�1� �����Ʒ
-W�E$�X,ib(��ma/k�O0hJ��@�	�z#S5�����!n:6��v�?�T���?l��jg躉�:C�գI�e�:d�as�XC�.�"�#x �,t�?RG��q������;��籪!z�]����8?>-f��qbIY�����q�b��š��7���
-���i��

-xl0
-"O���0X[A�u�t��A��(��
�p�/�!
j�b�
T��;�ȏ^�ƽ"U�o�|�cu�V��fdjP�
u��qL(��ZH+���/����endstream
+x��YKoG
��WAMv
;�
�����R8(ЦEZYj,���r�C{Igv����>����pH?�C��|���Ϥy��]��ƹH��,K�"1@��5���
�����H�tp?�b��H����
�x��&���r�^��{�~�b+���/}�A*� m*Ln��~���A!n����	��I&'r�|&Y$�▕n�t�t�������#7m��I`�#�q���W�іX��*Im5R�H#-�L5�x
Vi9�
�T���
�&�E���N Whl��M3C:r�S��(���QQ�E�F*
��&��d�Ə��x�:� -L�4��G��t��꨼��
+��Y��|��gַ}#
}7�L�ƓFc�x^yÏ?\pp�Ud��R�<e�y��s�Z���8�IE�g��Ӻ$E�
���
�y�H�u�M�5+���f"���KVe�zPm����5�&�����E�r��f�JM�MS�+�p
�

�k� ~)�L�q���dZ�w�	ް�Ko�)G3���o�x�62�Z�b~0��?)�t�DM��\�����
��l��'�����ѿCI�����,��d�M Z������{�y�O���O��Pe��� ���؊na|��J�uN�h
�1��z=��RI�w>��!݈i&1�&I{bN������t�%-��
�DŽ0�wB�m&1�z˫�d� ���{
��96����C��bB�FF��W��q�+fn�6Rn�s
+��U��af�P�c&ɏG���KF���5Hj�5��� �5
q�W�F�?�c
�fǕ�`��$���_n��n1�1kCPg���f	��&���h�@�XG��#��w
+�p~5|��'�Q=4��ӂ�n���隇��/,M2�#��H��CHٱ
�O���7�Z��C��6�|��)ו݁��s��$��x#�6��ڥ���s��`E�<����l
g:Z�#�D��p��k�44q�UtW��'���4e8�e�K�S|YN#�8�8����7{�6���e at 3�C溣#���t��t�f�s+h����g�Ŀ$&����7D=q��|�#� Q�b�ؘZci�	�p>�nq0��Pz\��I1��
g��Y�ጴU]>��;8�Cݹ���:Yw���w���\�#A��:>�>�

f���@�.���qC����!�nڐ��H���3g���4+ǧ��١��+
����]����j�1��
�6Oe5'F���e�W��E�u9*��	Ɩ�P6勜k��2w�r�+B�]�]�6�%�t�'�D;��P!��J~d�ϝ���׍�2�D�}3�@�M5��[eS�}t4*0P�QRw��*+��>Z�8ܸ�6W0��m����[����D� [...]
+E
7
H�
�
Z����/�Y�@M���@U�E6��[�'v�[���5���!
+
���
rb%�/���J�
����ѹ�T�z|B��vJ�Mƴ|�UJ=rw�:���݀���
苯ѽ�������`k�g�f��O|y8u"ֹ�a�,
�r��j�wxڲY��Q={Ʀ����!h�+����<�S��zՎ�|N��z��m#jƥW��$�z��_��
q���mW!і
����!ԥڣ���T���L��/�NkC��Ѻ��킖��S�f��
/t������Mp�0��}q+:�*��
N��p_/O�
�%1n\��2o�]��>�cQwQH��B�33�
���#<Ǻ��7m�w�ξ�\E����~|�4O����
��$XU��`ϱ�B0�PF��
+�c*08����� ����endstream
 endobj
-2325 0 obj <<
+2592 0 obj <<
 /Type /Page
-/Contents 2326 0 R
-/Resources 2324 0 R
+/Contents 2593 0 R
+/Resources 2591 0 R
 /MediaBox [0 0 612 792]
-/Parent 2298 0 R
+/Parent 2573 0 R
 >> endobj
-2327 0 obj <<
-/D [2325 0 R /XYZ 72 720 null]
+2594 0 obj <<
+/D [2592 0 R /XYZ 72 720 null]
 >> endobj
-2328 0 obj <<
-/D [2325 0 R /XYZ 72 440.506 null]
+2595 0 obj <<
+/D [2592 0 R /XYZ 72 666.862 null]
 >> endobj
-2329 0 obj <<
-/D [2325 0 R /XYZ 72 228.918 null]
+2596 0 obj <<
+/D [2592 0 R /XYZ 72 307.699 null]
 >> endobj
-2324 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F79 926 0 R /F67 564 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R /F32 668 0 R /F51 1171 0 R /F52 1472 0 R /F54 1447 0 R /F48 554 0 R /F35 1440 0 R >>
+2597 0 obj <<
+/D [2592 0 R /XYZ 72 312.68 null]
+>> endobj
+2591 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F114 560 0 R /F149 920 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2332 0 obj <<
-/Length 2602      
-/Filter /FlateDecode
->>
-stream
-x��Z[�۸~?��X�A".o�m���E��b�ޒ<(�|����$��@{g8�,�t�$=hS�-��!���
�o��|��ؙ����jf
+ʙ�q
�/��R����?|�L�#B�2��qO���(
?����H�(��e�h�y��ɺ�<��zѼ�B��\d�'	��dRŗ�f.��K^p����lJ�������+���-��
��w5
,q�/ ���vQ�fKTy�6,
�}���o��*x}���e�
$A"�tX�M qc�I�x��]J)L"���)��9���j�x�\�)-�I'=�w	n���<2�	^�ET��h\�邌�
�%��d�
��Ƶ��L�9��S�$ey�
�9�

d���ixJ%���d
�>LYZ�`mdS�GYp�1�!�s���
-0 �����
�T��g��^6��
mv>Z���{Ol"	����7KmuK���}d����@��~R��~So�C^���wPˬ� �#�<ߤ��dN���=�ծ%mkQ0�hS3
�t����=�
a
-��4����':�Dd&g��req�����@��,u0XX�
ef��ͯ7/^����~��L����j����R�����7x�Y>��-�
-U��j���GY?�� �b��7���r�Dk�z��,w����,�%�6��S��D@(0�b����ԚIi��А:
&���{;�Vt"]^2�*P��������d�)�E��=�D����qG�r
-s��1^XA�K�A�%�[�x*Ҙb�B�YE�Z%t�Ӛ)2��Z�
�:O�)+�P{	O�����P��#�S��
�6��^���"�@1y
-�'
-�(P^�@�(
-��W)
BD
�|�X������ 
p� pk
-�����S��LI�yf tG4X�����u��L�>��1������]
��Ȫ�A��뚸,1��m��%"Bw�W�G�/�Q:�!ۧ�� ��XRiB�ώ+�.i}��}�iwk�U� NJ�\U>��9���.V�
�{���n[,���sce��9�
@�%���
R=>�
����B����
�C��w��*��G�M��<L�w����m��sa [�$�?�
�W`����R�B�h�	�@Y'](뤵�wr��]U���š�&�8!9
5N�d��YR8f���5V2+�H,���v�����
=
-ׂ����t��O���`������C5Y
��
�&P�����fO>���.w O�JS�
�=�w
�p��}�Ѕ�"��ڄ�����qد����3a�D���Eգjڡh�>�����
���/}�J�<������-��\�e�q���8��=�C=N!B���@9�����9eFƥ^����'��w��w���k�&R
��$���
 ߡ�>v8�����"SM���w�����|h��59R2��LC!a���&'0�G�MN�R`o�����O�q�����q���8�y�#
܌e>/RsЬ4��}�9�s��85�V*l���%
���)�Tm񑶦�
Q-fGwH�'�\��>��n �84�Ww7�[�������<^s3�
��6��Wc�����4���eG}
�J6��P
-�G����w4x�fL65
-�>����
w���Y���]��
-}�#�u+�7��4��7蜠�����o�5��_	���D�����o��>
- �_# �]b>��1�[�鞓ʜ��C�H
׏�i��^��[�\�6��H���?�0�����zuX�u���bS
M���k��8�0�݁�6�t��U�pٳ�Y�
)0O�����5z�6Y����,�nx�&z*kF �y�'�+D�����:{W�^FsK��?����Җ~]O�
�@��D����7�
W_
ɑ�+����[�����H�|3/�DأJ1
-ߢ�6yH�%໵�m�f��@D�
��E�k�Ca�#``�5yHx~ȻG�
A)|cw���7~!���C�����
�m�\㷫��חL�S�&z�
��n
�C�G�u<��6j�8��z��*���}*.
�5�%%C��h(>eY�@YJp�)��:9u�83�
|�@'�S�<Vr\�B�s�DW�a�Ӎ��!��|�
-�v+�O@>����=w�S�2��x�u at 1�)R�
�r.��
��s�`�
���?
�.$�z]�$�ѓ
-o�B��Pf��;�<I
q�M�5���H%�]�{��O�����lOӮ�n8��]����Oo��2J�[k�w���3,����T���
-��`����g�V�`]�CA�Q*�Iv �>�ĭ��	�G��y H yB<�-T�f Uo����J�o���B�j79���T KV
����wܴ�(�}��u;Zh�7����*:���v����
48r��Z�c4��q�B��A9[�h���#HIXP~���a�&���A?�u�x,V�]3�M
��#\�
{�@0�����I�0���l��A�?���G��#��*F]|��V��ޯj�~�&~I��/�
j�₪�_
�����/
t� ��~��cD�1��=&��j�
-�.h'�P�Csh��R%v

㥞����a'�Ϛ���/�B'�9��
"-`
-�9�=꺅Yu��7���pendstream
+2600 0 obj <<
+/Length 1969      
+/Filter /FlateDecode
+>>
+stream
+x��YKs�6��W�ЙJ��� ��O�C��_:q�LŜȖc*��_�� �e'9�@"��}|� ON'�^�ZO#V���j�(#�VSM
�
]���2���9�-�Z������=�
���i��uF�ۿ�z�G��
\K|� �N_��=�F�.�c󷧿M��H�S�:�~��"Q�"��W�&V�E�v�lqF�j��W��٧�R^��6�{Q�V��'r�.�����
�78g����+��M�{�s��0/��%�D=sn@ �4��ߚ�`�<2�M8�J�f���?�����v�dg8��wF��zL�Xp�d
l
�&ޣ7>���Mi�]�nحnQ᫢[o�����m�Q?#��'���D��@�']�[x�XG(C���J�:c��)(�\�Rru%�%���ǻ��X��-F������^싩���e���\�$��f¸gQIc����m��+>;�L�s��n�Q6ܥ����6�hA�2�G.�c.���b��8��*"�E�ô{��e 
WoEO
TJ�C]����$+�ݾ���ܠ�L�v-����"0o�T�"��a�.�R1��6Q�墐�„��a�l� ­Р��y �z
7N��@��tq���ex��{`�d���9���й�5���-��e&K�����2�JmR"�Y��zXy���)7�X�}�W/?a
�M
+��[͜ǚ���
�
��<������
��I~�dN�A^^�X�A��n�l���/��'ϰT���!��!�f[#˻����cLV�D���<��b����oTqyVq�i����<*�O�
��f���a__�TP��Ф{2�2��
�;�ͧ�X�^�D[@� mA�&���=� ��dm �=O��"i�Ѕx
+c�dOp/M���q�����~v^�
+&Q�/��]�!\3|�ׅ�k_U@��{�
TW����W��iw���>� 
�	�zTd�0_!�d�;�D�0��ì3�ha�0�46§}]s�2kI�	s$붛�����۶K�/�qO6W7�v�\o��8��`�P�!v[|�����<'��eX�2��L=,T�� �l :��h$��1N�������u�S}��b��8�b��6Q����b&��2�*m��]`h"E8�xQPTg���XJ
+J)"��l)��Ƒ@/N�Ӕ3�j�p�
PGf����@. at b�
�ʎ�5ﵦ%���ʜ�B5� �w��9�@��
+"�R�
+.�H�LՃ>��ي�!��\��y^ڴq-��6K���~_b

���ĐPV�ֳ�b��I(x��/�LN4�fΗEt��	�����k��n�\-
	��w��#pQ��"��({�]
�Hh��0�3d����ġ
��)7��9�����_^M>L޼�Ӌ	��6�DB����B����D
�2�דד�{^UdV%�Nܙm�Q$�-4�s��pk�o�L�Fr_b�
 k��5!�����^aX�4L۬���(/-��Ƶ'�(�ܝ�ǁ����B�P��JMGJ�X��+�1����dPR�ƺJ���_�

+�N��O�A��{sPv����Mf��Zl6i
�8
>�C�*M1�`$d��$G8��BC%g�����к��ڵ�mҾ��=p0���w��|̫��p��U�zG��m�z=�kHZ)��<��; ��
P�-�fqu�о�w�X���4�1��ɲ�t�_j}쇧�L���q�d�Nŕ�@�"xϡa���d�b1�װ�
�ʚj���2#���<���4�P/�E�!��8l /tتKv
�JpS��㭔��.�fh�u��V����
����&B
�X%����n�(�u
�b����B�=�Ԫ���\x��w2��� _�����Y�tv����b���(�����Cȩ
���\㑸��v�~(�v�������]��/9toF�N��ǔj�	\�RNe�SD�Y�'�����!��#Gl>���< endstream
 endobj
-2331 0 obj <<
+2599 0 obj <<
 /Type /Page
-/Contents 2332 0 R
-/Resources 2330 0 R
+/Contents 2600 0 R
+/Resources 2598 0 R
 /MediaBox [0 0 612 792]
-/Parent 2298 0 R
+/Parent 2573 0 R
 >> endobj
-2333 0 obj <<
-/D [2331 0 R /XYZ 72 720 null]
+2601 0 obj <<
+/D [2599 0 R /XYZ 72 720 null]
 >> endobj
-2334 0 obj <<
-/D [2331 0 R /XYZ 72 279.344 null]
+2602 0 obj <<
+/D [2599 0 R /XYZ 72 562.532 null]
 >> endobj
-2330 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R /F51 1171 0 R /F52 1472 0 R /F41 1704 0 R /F67 564 0 R >>
+2603 0 obj <<
+/D [2599 0 R /XYZ 72 372.63 null]
+>> endobj
+2598 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F69 550 0 R /F73 1467 0 R /F75 1442 0 R /F38 1435 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2337 0 obj <<
-/Length 2361      
+2606 0 obj <<
+/Length 2027      
 /Filter /FlateDecode
 >>
 stream
-x��YI�ܶ��W�!����0I\��a$[�]�K%��D9pH�4".m�=�����Mj0ʌ�ri�����-����W���,�D����F�H��,�E��L���_�\��ի,\��Be�YH��DA�Tq���E�RK��f��Ip�a�,����@�a�l�(
-��v��g2}�sa�r0�
����
-[�Უ]5�ˍ��}��1�5���k�i�+��n�0ĭ�@7f�o���k<���
yKbH����@3�B��h�JyO
��Z��$�z�E=l��a�[��a�VFӒi��E���R��
-y"������vb�=�Z�#���G9i&�,:)'���&
�^s4����|�Q���o|�~��
��
u�o��C'���|��:�96��$R�i�N
-
�L_r��w�e;
� ����
�i�Ak�J7^	(%�$~�j?j<;*�JԨUܽ�i6**
�h���\i/=�����N#C�qf����$f.*J�?���-����x��t�g��\HN&�L�m�DDaB���(�AL$�PYf�6y

}�9;
=�
�(��E�
w���/ғh�!=[�)����9����X�%��
����"�������
Jp�|u��h��Fg��M��i�
8�"�:�ob�
-�
����	�*�1 �dZ2*�HwC�C��d��
��
ɭ��Ӡ2�Dp
4ㄼ��
j���У;�s{�b)
{X^<ϝ��3����F%y�l�Rv�g�4Y��1� Dij~�tR�ɀ`�яd`�J>
�H���Q��Q��#���\
bV�������D�8�����V<�~
-Y�M�Js��
�Ӡ�
\f�)֣�M�U
��:)��x �y�FLAX��#\��]��C
�˙F�G�v
�Q�"�_��iB�q_
*y�B�F�Xʐ��P��T:��x�Ñb��D	R'��?u5yv%f��zg���p�.�Z!T��U@؏b����ۉలg��N���)KH��T��h
 �j��WC�av�]ZY@�
�U^Y"�(G 5rZI����-9P\��˜�7>6�M=��FY&�YZ'[�$��I8�[�H���Q3溭鸨u���(C��eڗ'2Z�3�(ME�G_|����z $i.2U��}�
c��Y�Z�F�4��}!�EyI*�<{
J�b,E�����V�a�׵����U�
>��F�r2J�q�<g$��P U�e

]�;|R��
���
�0	/wP���ݿP
i_��Gj�$d謢�E�_-�������|���àkS��{2G�z�����`�|)yU
��`.����:,(��q�h�� 8��UVE }?l%B��v�I@ڙ(2B_�-������p�B��h�F�f�0V~)�sF�`� t����w�c|.
Y��)
gQ1�8�
*�WerWi���VX��+���-�^^��\��S�d�S:�u\�(f�=1k0�������$U�� ���	mN���28ۻ�
���
6d���͓��_m%��M��x1Z���ⅽ�p�
{�+���\S{�r�+�B�:�e��i����FNY��Q.D
�H�aAc\�8�l�L�	��;`U���BNi
Ψ=�nx��Y3�7T���)Q�yM��|:W�7^Sq(�XyH� x$C�ಓzpV�P��O�5n�z�迭
`F�
��3��
b$��坘��޽��!�G� �'&t�"	�ʶ-q(g�O�P����'1�����isI[�`?�@ze	]���MӘ��(.�Q��_���
��#� 4��� �����2.��p%���J
?AJj��q�W��I/��ƒ,e at -� [...]
��4�\ ��K�#���dK��2y��F�p��$���á�	�q"
�M�k�7f��/>t��N��\�q �s�,���a0\V
��g�

y�sl�>�_d���	<��
�Cʠ�k.���H����"��i�V�0<����ƌ{
�[�jfM�����/�}!OŢ]������v"�[G�"�*��;��\�^�;r����
V�'
{�
-J�~?�p&��^M����^�T�
���
�j�7����l�0�Q7`_DQ?د�����
-�����l%Z����u�P�O��8*�L1
����Lf�n|��L��d�t����?9M��r���C켢�~؟� �x�n�p<��-���,���K�Ә�!�}
?����>��
���we�X��s��g��-�e���"� 
w��,�`k_G�?X�����?.�iK|M�*
s+Y��]��0}�V �xe8�O �=�������M��h�eP٬q�M��Ѣ���t��X�8�Hy�ӂ(��P��ۋg�Dl$�endstream
+x��ZKo7��WA�e�\�isI� 
4I��m�"�
���Xvl����>vI��G�nу-j9���
WO��<gL#V����P󡦆P	�foG��lt5��c�F�08
w��b\	-Gg0>��R��(px��I�b��zXqN��N�>g�S�MՐ:����v\q�F�
��a\���7�	1�8Vj�J���AO\�OU��x����d|��ʉb�nU)A��Q)`�P�

�%.��Q�-ꂳG�

��=�=̐���86��.���q�AN��Μ��h�׆��u�
+l�����j�,�n{X1	�gD��mxH��6~?��-8W�?��&���N��⑷����$��
+�(�Y�ꖈ��N
�$QJ�_�,���M���'N	��%��`����&�d`����� ���-�5����h�v��q<�0�H�
<�&V�R
������:�
��ŀ���Ơ����@
b�v������W�U	�'�KN
D
+Jm�^�|��hn�����
��[k���X0�
$7%k*^�f�BaXb�}�d��p��S^夈��;�o
L*n(QV��8����#�{s�;�3�y��0>
&�z�W�B�M���¯�aSYe���
#VG�
�@�|���S?�ټ��K*���+E$�+Y����fM:��blj�$n!�X!�{A[%q)u�|Q��QIi3����扳�i��IۧJG?;����] ��_�Sz�c�h|Q)�B��Y�n>~ބ��
����q�b�ʼn�s*y���bS2ݔK1��\Z�M�
1��]��b̟

R�h%��t<�i���))V�����7�sJ�9%�?L�����R�"
|z쁂���NO��8�Y�&��}R�Tz��c��P��ǫ��Z
�V�5ŘA�`� pc������~/HB��a�?�0��)�����.�h�}K.�
�WjW�ܲW�����/m��
�So0
�M���Pw��Z���GŘsP��	#>+�b"\���p�"��}�������v�u�g;F�U�,8����CQi�^�X
"�]E?1P~l�q�������e��ذL���[��.akӈ�fK�w|
K<Ж1U�'�h�2�G?�)c��}��<
��p<�f˘@{4tAʥ��^�KOѸ2:
��b�S��#c�#k�t���r������Y�!�5v�~`�Q�<_y�t�E2�
���Z�[>\8
+S��Ɩ�y�㋼����� c�%Jh�}�{U�@H̀�q`�.W �]tZec�f��j��)O�.�Sq�(ZJ���S��8��R�%,8���QQ
��9I�AM9��]r�}f�x����p���[�+��Ŗ�+�g�
�j˷��y��{����]<�]n+|v�ACpFҘ�]�6���'
(V
Hр�k&ؾ��|
a-D�+�X�����i/�[����lD�nD��ሌ4sWz�� ����?Mca�:��$e��m��_�\<����`�(�ȳȊ�X}X��s+H}g�� *;8d�st�
(<i
�S'x�_WFN|��A7�7���+�����_��o_��$���k
q��Qr{ܣ����:w!珽�G��G��
��&���~����Xj��>J+=� ��;����J��O+�?̃�&�L����m���l���
~��?l�K��~ y�.�-H�O|�	YP�b��	�4���n�S��5���:�s5@���@Gl:�����"����
����7���1�ɔ��#��]�_]�_F�</�݋�fQP���C���hx����c����v�r�0
s�o���ߚ�z��Oς����y��t&��-<{�h��v��0����ѱw�|���-��s
��Eۭ��irM�U-����!��kh���&��'a�<��H�QB&5\5_��i�8�f �S�\݁T���w�n�)\Gu�q�2R��?Pه~8
g�Z����x��/y�
�Žo�J��̓��,9�I
�U��P�8
�d�}��@��\G��Fp5iendstream
 endobj
-2336 0 obj <<
+2605 0 obj <<
 /Type /Page
-/Contents 2337 0 R
-/Resources 2335 0 R
+/Contents 2606 0 R
+/Resources 2604 0 R
 /MediaBox [0 0 612 792]
-/Parent 2298 0 R
+/Parent 2610 0 R
 >> endobj
-2338 0 obj <<
-/D [2336 0 R /XYZ 72 720 null]
+2607 0 obj <<
+/D [2605 0 R /XYZ 72 720 null]
 >> endobj
-2339 0 obj <<
-/D [2336 0 R /XYZ 72 282.54 null]
+2608 0 obj <<
+/D [2605 0 R /XYZ 72 698.015 null]
 >> endobj
-2335 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R /F32 668 0 R /F79 926 0 R /F51 1171 0 R /F76 747 0 R >>
+2609 0 obj <<
+/D [2605 0 R /XYZ 72 167.503 null]
+>> endobj
+2604 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2342 0 obj <<
-/Length 662       
+2613 0 obj <<
+/Length 2023      
 /Filter /FlateDecode
 >>
 stream
-x�uT�n�0��+��( �H��zs
'm����K�
���h	�$
��!�, at s����ǙG�l��3���2M��6�S��A�
-�$@�/r��h3
�Q"��8
-r�R&X�	���	�<�����[=
�r���a�L�sO�{x�R�,ݨps�E(r�|�y
Sis��J��k��7�i��A�%�2�� 
0)#�q2���a<����mJN�/�y�T{SF��ד�
�T!L��~;=�!�Xߗ6�4)O{��p~�� �[���%�2A?+l�Z��v��U��D

�b%�V��i�$�%����y,#���f�QJ.�	2�HՍz������+�Z�у_��
���^O��
�
�c�Ÿ��e\jOy݇p}R����0[.՝���Q�O�8�
X��.�d.����h����h-ݡ�I
Ϙ�ɩn��Հ��u���ED�R!�o&�3%�ƊyKๅ|5N�<�H@
��y��k��|{�uetW}�$�ᝡ��d��*r����X�iz�
��Qr��{[��GUS]�16��c���W=M��
d{=:N|�
uw�2Z
-�����8�[�8!_[e���!v��O������y4��Wh��'Ե�0�����c��
-��Y��{�����
*�� JyIe!�@^`�p�h�9�HA2endstream
+x��YKs�6��W�5c!x�`fz���ӦNҎۙ��A�)[�,������b� A	��8��@�$���~��.O�<{%ˁ�4fp2
rPp˸���?��PdpU��H�2�J�-��
<�<��۱{w�ǫ��B��
��#vsE�˓"������Ή���ib`3u뮈���&�%N���y�óWB�Ѿdn��f�q[�`#��$
M(øRDp���A���b�`EH�F*G
+�{n8�m��C"!M�X�Jby�6k��"
����HK
�FB3�s�8#ա�?�@�U6]��W�9
��#��x�F�U�"��,L��nbx����n.�BKZVJA۝�
+���O�",݄֨�
+f��DĿ���V#��$�c�����\b �
����١s�ӈA5
�Ls\�����/�;O�0���
�h�H
��.��1��m�4}[��q
�ep6
)���(Ƭ��Ƒ+� x��>��PJ2^���)iv7 +�$ٟ�쁃�B�pܽ'V����4�tn
��OVg~�0GJI��G&�3���/
\��<i����WC+�8��S���6���\$~�ZD�`X������\7�(��
��UM�)A\X��!Y��B�(�2��ϝ�Ϙ�M���
��<B�
����R�
�L!�T������H�E"e�M�vR<�K�xH� W�m��Z��I
���Q�6�4)x佚����(r���x��Dɴ�/4)�f�[y�	HrrŐ�n��m�ް�.g|5�h�����/�5y�
�-�c[��*����������o�*-S�6q;�e�%�y��k�B��#��;�T��
F�
ZG��
f�;�y]!����s�[*��Z�%o�_)�֑���J�\~�@[?4����"g�}h���v����oq��\j�A��7��!ι�)uO���1��W5�p

)N���,
+ !�!� ����r	f�л�D˾ؠ
+���HSq���̗vp-A���
���� �B���g���L�(�b�G at 0�	�[�:5�=H(�IG+J�W
R��+�'Ē����X�ݼ��%��H�oH��hD¾z����M
+� ܖ;��� ��&�d
˶V"�Txx�"*e)���G���s]���U�鱾t�:[m��Qo�fO���~�O*
�S����
�U~o�
�6J�G�
4���ޗU�a��t�g
���W�P��OS�z�(
�j�
+�� 2�0�L�~~c4�۸L�
+kt��j��7v��2:a����
�(��P��q�����.����̢��-�� ���,��$
��=X;�-��	��S_���X#��k��C�VɄQ(�Q�KQ3
���
p8[C5f��
RSÁ��)�Z�uZHMy�[0^�͝�]�u�5i!F�,�v#3�p<�r~헥΀�X�

��P٥�7�Z�nc�1
�aw�"��2�|_����q+�h��SZO�0|]�6���1��?Q�	E�¯���S�{6�L��ca����"��y���aL��jk KH��{�4Mlyʢ�^8�������
S;<�D�����
�pq�L�R�RZ�ɐ�6%�1L;Ÿ���xr	�H�
�n
��[�fr1�-���b��Mv���K����7a��lW�r
�{�ϫ�C�t��x�Փ�je���w�9��6���� �i}��ܢΰ���������̎\;�����8"r

�	�$gٻ��W ���of��6l}�� �Y����
��w�Ѱ냶7
{_��_�o�59�G#8ŽT��‹��1oW���������	w+q���RR:Wi�%�ӛhd['�9[3�я���N��������5�������+�"{{���Y���b<��g��5�?8��l�D�g޹�f��Ų^�P��Ul�5���~��y3�nI��-WM�s�H��o�C|��
��b�KR��.l�t
NJ�4
�B��~���
����m������]һY�
����i_�J쾍,g��aJb�!���x��ɓ�7omendstream
 endobj
-2341 0 obj <<
+2612 0 obj <<
 /Type /Page
-/Contents 2342 0 R
-/Resources 2340 0 R
+/Contents 2613 0 R
+/Resources 2611 0 R
 /MediaBox [0 0 612 792]
-/Parent 2344 0 R
+/Parent 2610 0 R
 >> endobj
-2343 0 obj <<
-/D [2341 0 R /XYZ 72 720 null]
+2614 0 obj <<
+/D [2612 0 R /XYZ 72 720 null]
 >> endobj
-2340 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R >>
+2615 0 obj <<
+/D [2612 0 R /XYZ 72 322.481 null]
+>> endobj
+2611 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F149 920 0 R /F114 560 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2347 0 obj <<
-/Length 2068      
+2618 0 obj <<
+/Length 2332      
 /Filter /FlateDecode
 >>
 stream
-x��YKs���P�Sف	|m%�r6��.ˮ��*ʁr$d9��(֦ʿ=�9��k�q�h�F�����
�OW�>�"�/t��N/������B���E�lt�4�1��_}��y|Ɯ%��"&V7 ׄ�5���Z�Li���f��q�
�v�f��Y�gw���]�ԪEr}5!��m�#�LD,c���
~aӦ�mMv��*S�v��\�yv�5�2�K��19l
K
�
�m��;܎�-l>�l55O�
���8�� >&����M�F��P�mی���d)�e�S��
��-qV�
�L�@q�~���8����S�]��*k3:�@��z�8澙��1�?Nd�j"U�	��eA[��阨���'z0�&Nc������α�F`�
-ܟ�ѕ���z��s�N�
-.j�<{]w8�D�b
]�z�7�3h���w��넣�#ɂw^��X�Ȭ�;������@'�q�L_�2w�^D�X
�m3� r:Pk�^��;H������aM��Ѱ:Y*'C��,YY
-��
m���OL�]�u
��A!b#{����D���;�� D;�K��v�9i���ώ�c�'����,��3)sg����@g 1��oq7��&�\�
�JS���
@�
�-�؉�iv}���}�C�8���	F0S��8��1��đt� ���
M���v"��B�2q��~3���
���
��h�s����M�'�~\ }^�g�� ����m�A{������a}��l�Jw���-';D>~^�@��u�h@?3��'��f�曅���,����?�
�%���
�f3k!�=�pk�V�W���;� ��.�j�ʿ�UY��b��5GL��<( 
�}߶�O�B<#�V�����Q�
-Z�t
>5�qA[�
T�Q
��Ƶ>3�	)��R{���؂+V
���|��bܨ$^�}@��r�h��$�"v�� ��a�Z#f��\&%
� !d�?��Ĕ��k�QP��TV��
ڈ4J�F�R�ITi�
-��Z���Fb��� �L�yL0���']E��u��`ws}F�;
�2��'�?��?()�[�>��n·q�� r�4=������ħ�\Z�<��{��\�Ț�
-�
�� �[��� C�B��Jv��l��;vn�H�A����B�柧�����vAf�=��h�j�a+�����Hc��ꞇju��h�cE-󡙚a
TBH�rN��؄R*U���>(I��}��FG��� A0�����5_�-���o|�������nO��a|J��Ti.Q����P� 
��x�N��f�v���E*�R�V)
e}'`�[�Xݺ�W�vl�ؽ�Y�͇']���QT�m�5�� �a
�%
Je�}�]����$??$�-��h`P5��Ta��@$��W�`�Iv�$�0�"��:��XR�ܙ��f��>?���uƋ�7�h�|�Os���Œ\����d��sp
�tj�|
-87/U���ʷ���=`�2O�
l�
-�гe!n)���R�#�H�V/H�1��j><Y>�
%䜘��>�N����s�d����eS�n�å�����-����[�b�������y_t�
u���J:�
R�\�9�B�u�	�W�8#�FU;�2i������Pq�}C�K�w/�H
�����E���!,:���q�2�I��0�ϗr������jxO���A���bj�PL�2�KZ�ۓ�
����/��52
4��W�'�]��"��E�rg y����`D��}�  
�D��
9��ߓ�/E�3�|=ݚ�8���
-���P���FV��^�!AY\�ZS�M���w���_x{:�=��0z�� �&:��wRj������_����f���
��I�r������L|b�I�%
>�6����G����P�
 WiT9�~��,[�#�j�S
�q?�EkF+
����t>'�r
���|
-���#
1���N
�;�^
w
-�R�cE���A[���u�'�ՠ�%	|0|pr��9im�D�9���To�S����d)���ve)~&��a2H`s�m?�!k�TA
�v 3��W�z��V/�endstream
+xڭ�r���_��%R�D�� 9Y����J��r�q��L�D�J�%���C�=	-�M�xx��G���ͯ�r���a�7W7�+#�LݲZ���?g|�g.W;��͟^����hyU#���຃둞wp=�Ό��S�v~5���g��_2
|��k;�D�g��+>��h���6���B��: �M�
v�e?����,�W�U	���{�W�<��ǹ��+i��o�N!�
a�Ϸ[��+�+X�"MUB3�;D|so��V��Dz�RK��<���n޺��<,=+� |��‰iw��Q�_��_���ќ*�Ϯ��_'l#�gG�B�oB� �M3U���T�;dÂ"���]�|X�WWL)�J��װI*�
������Kͬ��g"� �^L��On�i���t�x�B�ɢ�`���=m�������.Q�'կ��S�j�>�	
+[ş[��,��x at 0u�yO�~�h�b}���V7��(���@�R(��x ��7����<h�%Ik�&!`��M��W
���(>Q�����Z�G���!��nj�}��ׇ��Yv���-w���n���Dz���߹�/�=J���:!Z%�_dH
0���J��I��rV/��G}�
+-��)��"R>PN�����⿜�g�έ�&;W!�_��k��iϮ����n|H۵U�"���y2
[��a��P�p6TǴ�l=��Y�H]3QwT�_��SC%V�c�v�|DF�n
+�U�xgh��*� k
ϩǴR@	i at r��|]@�1-ZZ_���"��LK
�[��d���V�y����	^k�e<��źֳa+�೷�V���,��
$�E�k��9���G&w�
�L���M�Ô1a�<��n
�Z���u��j��텂#r�{���m�
��d
+~���f��?�em1x
3�:*�f��ғ��������6���L5<˂?�����-�v
h%�ֵ=
��O戴���wH4��b8�N���;'��-Z,�M�m�
K���r�V�UA��1��,轖�wy��4�]�zw�����>����RcPE��<%Oł��|#3�}�t\O$�A��@0�cmb&�|���1
��A}�ڻ�Bs)��9�˒*K	� Q|���
+g��t<T��琗1�S��Q�
�ݞ@W��8���oWJn�5�:���'L�1�x�
יל1�"����C�����u�^g7K2����n#����C������J�`��)P�C�*h����9VE)f���
ݾ�_��D)
	w} Q�1
rW��!׫��TY
43����&�k� й(9K���B/�ƅ ��3�4�i�LJP�Ǯ��-�6Lu��Bm�N���f�/8佳�χ��q8�{N��pX�V�զvZ�OE�}2eX%5g��}�zN�u���m�t�N�/�4�
+)ޭ���-#��@��>I��VN
�̪�Hĉ
i����	�

+!%���M���l��
+�HpH	~�s�(���+�k7��Q�h�!-��-�n�-@�yi��.�7՜��ֻS���h����zO3�oK�kfD��!�N7p`�
��}�_��M5��.`3�
j�,W
�T�#�'EM,�w"����΍��0f����:T�y��<;#���P_R
�3��~H��x�8�i
)b�i���C
��

�����{��]ʬ
�O��pԱ
FT����1#ä�9�@q����Z�	���x
Y���
+�\d-蚺ׇ�g�aÙ�cae�9�0ҹӹ�3
k[�4`���r�TA��!2�8]r�,/�۳�
S��f\�
�E���q��с
�:��-��w���u�'A��i�&���ڀ�5�`�/٠렣���`y���I'4K
+?I���,̨k�����͜��VHA����zo�^�XSݗ�~i�0/4z���]���@�%9Y*�l���f�3C~��Ul�n
v��M�RYr%�
��q3v꒾�
K'�c����󟲩�
fM|�U|#���1
6
O9�a�sY?����5Q�3��z���s}�T[�"��
�a&g
�K�����V�%}ִ�qt
hN�
��1^�qD��J���'���\��[�L9[0��/�D:"oU��2%j/�OA�#���W꟬p�}u�H:�
+��..�W�}�>L&�x��p�Dy���D_���(�H�V����r�Ks���V�.��nC**5	���e�U���'�u�u�HGxR�[� �CXr�8ts|7�e����"�
��%��qQP�/�ť_$ � �R��:�0M�����C�9S�c�[+xsٷkX����j&��\�Ƽ������5tendstream
 endobj
-2346 0 obj <<
+2617 0 obj <<
 /Type /Page
-/Contents 2347 0 R
-/Resources 2345 0 R
+/Contents 2618 0 R
+/Resources 2616 0 R
 /MediaBox [0 0 612 792]
-/Parent 2344 0 R
-/Annots [ 2349 0 R ]
+/Parent 2610 0 R
+/Annots [ 2622 0 R 2623 0 R 2624 0 R 2625 0 R ]
 >> endobj
-2349 0 obj <<
+2622 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [225.263 619.992 253.919 633.939]
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [247.386 338.543 281.203 352.378]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.13) >>
+/A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-2348 0 obj <<
-/D [2346 0 R /XYZ 72 720 null]
+2623 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [287.748 338.543 313.125 352.378]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-374 0 obj <<
-/D [2346 0 R /XYZ 72 720 null]
+2624 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [342.495 338.543 375.99 352.378]
+/Subtype /Link
+/A << /S /GoTo /D (cite.White80) >>
 >> endobj
-2350 0 obj <<
-/D [2346 0 R /XYZ 72 582.756 null]
+2625 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [382.535 338.543 407.912 352.378]
+/Subtype /Link
+/A << /S /GoTo /D (cite.White80) >>
 >> endobj
-2351 0 obj <<
-/D [2346 0 R /XYZ 72 529.415 null]
+2619 0 obj <<
+/D [2617 0 R /XYZ 72 720 null]
 >> endobj
-2352 0 obj <<
-/D [2346 0 R /XYZ 72 437.219 null]
+2620 0 obj <<
+/D [2617 0 R /XYZ 72 589.783 null]
 >> endobj
-2345 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F78 924 0 R >>
+2621 0 obj <<
+/D [2617 0 R /XYZ 72 407.955 null]
+>> endobj
+2616 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F142 743 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2355 0 obj <<
-/Length 2616      
+2629 0 obj <<
+/Length 703       
 /Filter /FlateDecode
 >>
 stream
-xڭYI�۸��W�%UT���F��<�q�SII�0�@IT73�Fd������D�ݎ/�o��Ÿ����wƨ2���w�Ty�+tT������5z���?�F=��B�w��|�&;����ּن�f�N6��Xz�M���v]�X���8sF�*�Q^{��������	N�"�N�$?l�؎ʔi��߁�?��Y��.d�[a����|��
�u+��;�j��g|p�G�����Y}~�u��?����M����Ƭ�7����D�|�0���@쀨��>
�z��ͺ��A��NJ]�–p5��Uۢj��9őR��ݰu�ζ�3rW
-�0s���as��#]�i�rY��A:|
z�>Դ�;�R�}"%��{Ax�w�`ȅI�ۻ�MP�'S��ج��G>`Mǂ����w$�[^gs�ñ�
3�O�Z_�D�#������|Nw����+�{Deu�S���<���ˇB�{P���*�u�

�K�}Z�yV힐(r���%
�7�@���?���<x�욮��-t�fSW;~�����
oq%����	��_W;�
-?��$}�ą�m,�s�Z�_�4�a��
�y���"�t����	���2��l�3�*D���,�-���ҕua��
�J��d�o�x���	;xd�dyBh�:�T}�
s
=R$K��81��$0��;>y]	^G�Av���-�s 
����Y� i}F�h��+�m�1G�/�L+�}}Yټ��5����ҹ��
�:���6��I�@�m/�XЄ��YX�"�5�z"��?HGq�0)X"���3�g[� ٳ�:|j�ˏ[Z��Y&�M1  gl3R���v75�a��{��<�i'
���}w{<�^�k��������ҹ��/w2V
-A�bߌY��.�n��G
�oC�j|�8�|Ԏ���U��;�;��[����M�Q��F�?�ꩢ�����,.�
��-�
e/�f�,Tn�(I)r�e�<��
����n�&{�$;P�a�n���x����	�$,-	KQ��X�. Dc�2#
�ђ�����t����a2Gs�G.B@��X%�<C�"X�tcr�gG�0�@c,
q�R�I�
�
���r*
1�'���Q�馌�07��1@"�:�R
��”�m��ԥ���p�yU�����C�=s"��[�m

N<
ߜZ��n�N�h�f�-/��W
���x� �ʹ)[�������ҥAO���$$��ͯWu:X�,b�fX0*7���b�)"�3P��ܦ���X������Yx�j$q�i����7�����
$v�N�ǧ.E�s
-�h{y9�y9��Qn$S=�Ll0e�bq�c��D�
-.�h����)bː���z�
-ړ�M-����
.W��%L9�cH!�w�]|:����
��8Q��0U;<߄)��.~Y�n�1LE'i!��(����B�½
-��Ը2+B��"տp�k/`�
^ �<�0�	�SC��P&"N�e9�G�xZ5��O��.��������!eU��M�0�m��	NNe��k�l�E�F�ڿ ����,Z���|��@���'�@z-{>���K�����J1=Ý|�B��,����4
� <�$lJ )�
-����`��~-Ulb�  ��+��<�ls�6(��=��]�H�ԃ��
����!�G
-,IZt2ʂ9f_!>��U�-��
{�z^��i_��g�(��.�(�ËZ���W`��aM���og��X
Z=j at z���e��y�e�
e2��&e���җ�G&\:
��1�
-���fpa�8�n媌�� ��
l��
ş��,$ѐ��^
-�J�KCQەs
@�C���]�������CI�w�#Y2�Bd~���d�<�i?��L.�x��Z���u�}�ӹ�����
�V��{�(��a8@�Rn5�u��8c�< ���E�:�� Hm���w�����)�V��<m�H��l�}3���3Z6܆h��&����iR��b�_h]����A2�>���sQ���%���V-ߖ�N�_7+�d�b��dB��+Z�m�Ĥ��DA�r�"��hE
�����$9�^E3.a�!�#\2�RE��vŤ���>t|�:
>�ᥧ���4z�Ɇ����";���#SV>!؜�0�7�U�FUD{��ց��	*�)��>U?�����H�������
�V���39z�U�Z/������f���_-�MdRUb�U��,�}%eF9�oZ����zɆ�d�#)�
\P&�ID���ɻ�^�7� �.!g���5�.Է��ht�������T5
?�IŌ�54��y�'K��sv̢+��C�Q�y�(� [...]
-���g���ک���
����B�V �C��S���4Mu�E/�I7!�:������s�>�;��}�xY
˳)�	��{�ݝD=�
�G��
/�)�\�#Y/��d�|�|WIɷ�:� �P=�
�cz�DX������7�<�"�endstream
+xڽVK��0��WT+�v덝8n ��{�J��X%I��.u�-
���q�&nڕ7�d��|c�øw{Oiڧ����Ӿ`}�H��[�5�;
h4�������j�m�����Q�2F(�����h
�[�-�`>&�k�\���,��oXK'/�Ժxm��L4¦$�G:�����e��X�@�G�8
TY�|mT��T�� "��ʋ�i7�[i�C��Z���ߠM0�g
F���v�4*���+�m`휸�ē 7�q��
+Ca1
���c
S�W�r�6�5FS0H��\�.�2���y\aa�X��tx�
�
+=
+襙F�Z�M�|���
+�5F�`�U��
�t�������rzH\�D��v�A��SA/z<�4��c(YY���� �q^���
7V���B=�ޠ��yf4��i�ݶ
�<��C�	Y�����Zp$�
��oP����QCh�|5'l��9y
+v4��p����#�~t!�S�]�t�4�yz@�Y޷�1��2;t����`�g<���8 yͽ�s�_r���pT���h�����:�D�1U��iQx΢�
˼�4� �rP�b�W�.�m�88��#�1M�YrkD%:�O�
�J�g3�1d8��.���
���B
�g/b��#8ϐ����)��7�|L�c�3A�\��
WE�铗��2G��0�	K(8�3��g�o#W���q�/_ebOendstream
 endobj
-2354 0 obj <<
+2628 0 obj <<
 /Type /Page
-/Contents 2355 0 R
-/Resources 2353 0 R
+/Contents 2629 0 R
+/Resources 2627 0 R
 /MediaBox [0 0 612 792]
-/Parent 2344 0 R
+/Parent 2610 0 R
 >> endobj
-2356 0 obj <<
-/D [2354 0 R /XYZ 72 720 null]
+2630 0 obj <<
+/D [2628 0 R /XYZ 72 720 null]
 >> endobj
-2353 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R >>
+2631 0 obj <<
+/D [2628 0 R /XYZ 72 698.015 null]
+>> endobj
+2627 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2359 0 obj <<
-/Length 2063      
+2634 0 obj <<
+/Length 1442      
 /Filter /FlateDecode
 >>
 stream
-x��XKo���W�=
sv�#	`
��N [Fq#�)N4e
�J����WUMΐCÇE��F]���ꪯ
��n^��!I�|�����fw�W���^D���u��f���*

�Z�Nwg��Y����?}��Z�j
�O��Ko�~������Xm1�HN�:�+w�B���,ad�Ǣ#�=涫 ���k��
�F&nDA����6���ʲr�e��P�
-��,Ӷe?�,oG��qW�$𝷻�t8%��Gn%|�nl���[�YIaZ�W[�����YLK���д����W/���_0_�i
���l��lC����)wmg�� 
�
��a�v5t<�ˏS7
Rݥ�bï���^a�澯+^�~Q��� ȝ�V���h�i��Q}١�ڪbO>�^W����̏gƥ���
�d��C�lKx����z
�/7��A�
��7z�lz�ԍ�f�&���k�{K���Գ>��i��7.}�p_����
X���A�T��q������v#F���yt
:�l��%�����v�:}�97l�0u~f,<q0ܳ�ODh4m?�lA����e�`�4X9V�P{v�@
�Ҵ��ŋ~�ղ�1
y��Āb��
����$	��Jkx�8@�B�
�g�q����f+㇮e�	�F���6*����3�{�)DYA��te]
f+܇����P�p��V���{��&�-�R���1�3cg�M�e<V��$=�l�~��*��RY�b�	V����Q�Rq:�7P�ܑ�R
�a���lF��=�>$&T�G0�yA"��`r�z�'KQt`ʶa��e���0-p1pa��
-t�2n���c��F��S
3}�-Sdњ��Co�����eS'�
��s�9U�\U�,r)Q|Z/�$d��PT}
բ�𕺑�G3��l�.��G`G&Rr�V
-�v”��!u:_a�qm�FF�T

U
�)*a(�z����w�*�)��[[�A�~���k
0P�{*YE!���!ٔ��
�r�3��'$��8Eߏ��GPی��Gk�`�Oؚ�CM���+�&e���yb��2-r��1Zik�*0'�`{
���yѧ��������,v>��К��8k	����
J��
z'�iC�
-7Kfh�T�T

������c�N�P�+�l
2�:}cM��+�`-p��QRz3b�V�X��B	��PbQ��/��R���'aQ=KM�
�F�jrW�+��6F�64;�r�fzOP1g�6v��AϚ�?�_Av��E��r�d/niA�:�{چk��m�a�
-�(�b���
��&�*@?t1'��F����MC�n$l~ds2���OOlsQ#4�s.���A�nuP;�I���^�w������Q������v+#_@�4�
k�/��4��˭�^(\(�3;��F�i�
�e�pZ�MLӻ�-)���ɼ�{��]�y��مj����cJ]��_Ga�ѼϷ���Տ������L�8P �m'm	"�lvL�šʂ
����ȵp���w�c���^?�vo�>�r����C%�
-
�Fn襳��Z�(˝w6}����@DI���y<�X�r₭�i��*���$�<\��
o|���`����N�3���#�X�Ï=c7\��L�r
-�}a8�m��4�v���qP
AYYs~c=tl�[�*��4��#��r'�0��+J	�
>P��A
@r��
�#J�^������;� ���2�����6ds+��� �	П6���K��F�g��#'}��7y�����S���
&���4�l��ZqF��!�Y�"�����[~�9�
;?[��[���q�w
�g|:�
s�#������"�#����
�
-�2��z��x�=�V��l�Hh�x��{�+��]F��
&b�
&G���[s��7�v;^M)�g"/&��
��n�#�
-�y�yK:�%�lf��
hpˏbf6���b���뜀M��$����s��!������5���XS_W��筓���[khZ+�qX)_�vL�> �G4��谵�谍5É�u
��\�~�-f����Z/Iz=9>�\��yLC�����U��т
�_��y�_߽��endstream
+x��X[o+5~ϯ�Ǎ�u=�tx at P	t@:(/��&��HI�6)���3��z7i
�jU�z<
�|��8PQ��
+�mmŅ$�T�ͨ��(1Ji�"�g�GW��?l�T�mG�Fէn�Iz�^�����=����,*�*���������ᴞ����/���di�0F@*/�q
u�b�eb
��N�� �e���n�ny%��K\Sʣ�F�Ch¬�b��A8�b�L�7L�-
A�z��-���u���|��g��KYOq�v�˻�~�b���i7��g�>��*7}[pMz��xC�C�ZE��ަ�
s7�uF9f�� �x��C=;k��@
+Ϣ`�&T�8M%-(DJ
E�
*�)S��i�q^<�l䞶qZ�F-�1*B�ww>��N[8�v�D�i���V1x�G��o���佫��-aT��
�"��
+A���{@�Q��U�T�K�r�H��1kE���y�q&���%�51Z�i ��"��A���U�K:��� 7��z�L����7�c�N���V
T��k����eD=
�����#�:�a2���4�Xf�~�x�Qq*�DW���Fܧ!��,8�Ic�!GM��XD�fňK���d<���L;KV,���Y޻W�|��<�U��@�cy

Ц��A��w:����B+V�	� �rO�h�n ��Zcyœ3�[u�� ��
+u���_V��X��!��	���(Dyfp�_0�B���9�Y��+-�H.����UV���%�(����^�L�r���Qo�5e�dj���h4%RsCe��P��%0�h���Ɠ�'���ѺpBp�/
D~F�
+�;JG��{��rG�;&�,{�1`
�M�n�ߎ%�g��n��a�q/��vs��ݶ���^;1յ��(�K�����'�y���]��<gҴ�m����P�ၦ�H���鐦��c����b��7��vf�Q(��
�S�6�
	�V�B͆
)z|
��9�u���~��O����U�
z�������O�^nÚ�>����9'��`ԵKsP��*�3�$4�
+g�k�z
c�^�G,zH����
I
��, ?{^�1)X�D2U芩���2��Ϊ^��qJ;��Q
��V���)
��t�=�"�Џ���
�O��qq6/����m������7��מ��}K8�p��K8õ
�Vf�^O90K�}�
p�4������
bRQ��㙃NР{���^��ne��*��D?�d�ʿy`��1rF��xW��{�C�{-����c�;Ԍ�
�
+s��
�+��N�T����x�Ե�9p%*T�mV�ﺱ�\<Ľ7�/A��w:����R|�Cn��l��O�!��"�5y��~iw%+4AS����>����	{��&���4
&�Pw��C�
$;��%�!��@ET�<ጾ���ʧ��endstream
 endobj
-2358 0 obj <<
+2633 0 obj <<
 /Type /Page
-/Contents 2359 0 R
-/Resources 2357 0 R
+/Contents 2634 0 R
+/Resources 2632 0 R
 /MediaBox [0 0 612 792]
-/Parent 2344 0 R
->> endobj
-2360 0 obj <<
-/D [2358 0 R /XYZ 72 720 null]
->> endobj
-2361 0 obj <<
-/D [2358 0 R /XYZ 72 697.999 null]
->> endobj
-2362 0 obj <<
-/D [2358 0 R /XYZ 72 348.538 null]
->> endobj
-2363 0 obj <<
-/D [2358 0 R /XYZ 72 353.057 null]
+/Parent 2610 0 R
 >> endobj
-2357 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F79 926 0 R >>
+2626 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/lognormal-ExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2637 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2366 0 obj <<
-/Length 2091      
-/Filter /FlateDecode
+/Font << /F1 2638 0 R /F2 2639 0 R /F3 2640 0 R >>
+/ExtGState <<
+>>>>
+/Length 2641 0 R
+>>
+stream
+q
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 329.24 m
+52.95 329.24 l
+53.65 329.24 l
+54.35 329.25 l
+55.04 329.25 l
+55.74 329.25 l
+56.44 329.26 l
+57.13 329.26 l
+57.83 329.27 l
+58.53 329.28 l
+59.22 329.29 l
+59.92 329.30 l
+60.62 329.31 l
+61.31 329.32 l
+62.01 329.34 l
+62.71 329.36 l
+63.40 329.38 l
+64.10 329.40 l
+64.80 329.43 l
+65.49 329.46 l
+66.19 329.49 l
+66.89 329.53 l
+67.58 329.57 l
+68.28 329.61 l
+68.98 329.66 l
+69.67 329.71 l
+70.37 329.76 l
+71.07 329.82 l
+71.76 329.88 l
+72.46 329.95 l
+73.16 330.02 l
+73.85 330.10 l
+74.55 330.17 l
+75.25 330.25 l
+75.94 330.34 l
+76.64 330.43 l
+77.34 330.51 l
+78.03 330.61 l
+78.73 330.70 l
+79.43 330.80 l
+80.12 330.90 l
+80.82 331.00 l
+81.52 331.10 l
+82.21 331.21 l
+82.91 331.31 l
+83.61 331.42 l
+84.30 331.53 l
+85.00 331.65 l
+85.70 331.76 l
+86.39 331.89 l
+87.09 332.01 l
+87.79 332.14 l
+88.48 332.28 l
+89.18 332.42 l
+89.88 332.57 l
+90.57 332.72 l
+91.27 332.88 l
+91.97 333.06 l
+92.66 333.24 l
+93.36 333.43 l
+94.06 333.63 l
+94.75 333.85 l
+95.45 334.08 l
+96.15 334.32 l
+96.84 334.57 l
+97.54 334.84 l
+98.24 335.12 l
+98.93 335.42 l
+99.63 335.73 l
+100.33 336.06 l
+101.02 336.40 l
+101.72 336.76 l
+102.42 337.14 l
+103.11 337.54 l
+103.81 337.95 l
+104.51 338.38 l
+105.20 338.83 l
+105.90 339.29 l
+106.60 339.78 l
+107.29 340.29 l
+107.99 340.81 l
+108.69 341.36 l
+109.38 341.92 l
+110.08 342.51 l
+110.78 343.12 l
+111.47 343.74 l
+112.17 344.39 l
+112.87 345.06 l
+113.56 345.75 l
+114.26 346.45 l
+114.96 347.18 l
+115.65 347.93 l
+116.35 348.69 l
+117.05 349.46 l
+117.74 350.25 l
+118.44 351.06 l
+119.14 351.87 l
+119.83 352.70 l
+120.53 353.53 l
+121.23 354.38 l
+121.92 355.22 l
+122.62 356.07 l
+123.32 356.92 l
+124.01 357.78 l
+124.71 358.63 l
+125.41 359.48 l
+126.10 360.33 l
+126.80 361.17 l
+127.50 362.01 l
+128.19 362.84 l
+128.89 363.67 l
+129.59 364.49 l
+130.28 365.31 l
+130.98 366.12 l
+131.68 366.92 l
+132.37 367.72 l
+133.07 368.52 l
+133.77 369.31 l
+134.46 370.10 l
+135.16 370.88 l
+135.86 371.67 l
+136.55 372.45 l
+137.25 373.23 l
+137.95 374.02 l
+138.64 374.80 l
+139.34 375.59 l
+140.04 376.37 l
+140.73 377.16 l
+141.43 377.95 l
+142.13 378.74 l
+142.82 379.53 l
+143.52 380.32 l
+144.22 381.11 l
+144.91 381.90 l
+145.61 382.69 l
+146.31 383.48 l
+147.00 384.26 l
+147.70 385.04 l
+148.40 385.82 l
+149.09 386.59 l
+149.79 387.35 l
+150.49 388.11 l
+151.18 388.86 l
+151.88 389.61 l
+152.58 390.34 l
+153.27 391.07 l
+153.97 391.79 l
+154.67 392.49 l
+155.36 393.19 l
+156.06 393.89 l
+156.76 394.57 l
+157.45 395.25 l
+158.15 395.91 l
+158.85 396.57 l
+159.54 397.22 l
+160.24 397.86 l
+160.94 398.50 l
+161.63 399.12 l
+162.33 399.74 l
+163.03 400.35 l
+163.72 400.95 l
+164.42 401.54 l
+165.12 402.12 l
+165.81 402.69 l
+166.51 403.25 l
+167.21 403.80 l
+167.90 404.33 l
+168.60 404.84 l
+169.30 405.34 l
+169.99 405.82 l
+170.69 406.27 l
+171.39 406.71 l
+172.08 407.12 l
+172.78 407.51 l
+173.48 407.86 l
+174.17 408.19 l
+174.87 408.49 l
+175.57 408.76 l
+176.26 409.00 l
+176.96 409.21 l
+177.66 409.38 l
+178.35 409.52 l
+179.05 409.63 l
+179.75 409.71 l
+180.44 409.76 l
+181.14 409.77 l
+181.84 409.76 l
+182.53 409.72 l
+183.23 409.66 l
+183.93 409.57 l
+184.62 409.45 l
+185.32 409.32 l
+186.02 409.17 l
+186.71 409.00 l
+187.41 408.81 l
+188.11 408.61 l
+188.80 408.39 l
+189.50 408.17 l
+190.20 407.93 l
+190.89 407.68 l
+191.59 407.42 l
+192.29 407.15 l
+192.98 406.87 l
+193.68 406.58 l
+194.38 406.27 l
+195.07 405.96 l
+195.77 405.63 l
+196.47 405.29 l
+197.16 404.94 l
+197.86 404.57 l
+198.56 404.18 l
+199.25 403.78 l
+199.95 403.35 l
+200.65 402.91 l
+201.34 402.45 l
+202.04 401.97 l
+202.74 401.47 l
+203.43 400.95 l
+204.13 400.41 l
+204.83 399.85 l
+205.52 399.28 l
+206.22 398.69 l
+206.92 398.09 l
+207.61 397.47 l
+208.31 396.84 l
+209.01 396.21 l
+209.70 395.56 l
+210.40 394.91 l
+211.10 394.26 l
+211.79 393.60 l
+212.49 392.95 l
+213.19 392.29 l
+213.88 391.64 l
+214.58 390.98 l
+215.28 390.33 l
+215.97 389.69 l
+216.67 389.04 l
+217.37 388.40 l
+218.06 387.76 l
+218.76 387.12 l
+219.46 386.48 l
+220.15 385.84 l
+220.85 385.20 l
+221.55 384.56 l
+222.24 383.91 l
+222.94 383.26 l
+223.64 382.60 l
+224.33 381.93 l
+225.03 381.26 l
+225.73 380.58 l
+226.42 379.90 l
+227.12 379.20 l
+227.82 378.50 l
+228.51 377.79 l
+229.21 377.07 l
+229.91 376.35 l
+230.60 375.62 l
+231.30 374.89 l
+232.00 374.15 l
+232.69 373.40 l
+233.39 372.65 l
+234.09 371.90 l
+234.78 371.14 l
+235.48 370.39 l
+236.18 369.63 l
+236.87 368.86 l
+237.57 368.10 l
+238.27 367.34 l
+238.96 366.57 l
+239.66 365.80 l
+240.36 365.04 l
+241.05 364.27 l
+241.75 363.50 l
+242.45 362.73 l
+243.14 361.97 l
+243.84 361.20 l
+244.54 360.44 l
+245.23 359.68 l
+245.93 358.92 l
+246.63 358.17 l
+247.32 357.42 l
+248.02 356.69 l
+248.72 355.96 l
+249.41 355.24 l
+250.11 354.54 l
+250.81 353.85 l
+251.50 353.18 l
+252.20 352.52 l
+252.90 351.88 l
+253.59 351.26 l
+254.29 350.66 l
+254.99 350.09 l
+255.68 349.54 l
+256.38 349.01 l
+257.08 348.50 l
+257.77 348.02 l
+258.47 347.57 l
+259.17 347.13 l
+259.86 346.72 l
+260.56 346.33 l
+261.26 345.96 l
+261.95 345.61 l
+262.65 345.28 l
+263.35 344.97 l
+264.04 344.67 l
+264.74 344.39 l
+265.44 344.12 l
+266.13 343.86 l
+266.83 343.61 l
+267.53 343.37 l
+268.22 343.13 l
+268.92 342.91 l
+269.62 342.68 l
+270.31 342.46 l
+271.01 342.25 l
+271.71 342.03 l
+272.40 341.82 l
+273.10 341.61 l
+273.80 341.41 l
+274.49 341.20 l
+275.19 341.00 l
+275.89 340.80 l
+276.58 340.60 l
+277.28 340.40 l
+277.98 340.20 l
+278.67 340.01 l
+279.37 339.82 l
+280.07 339.63 l
+280.76 339.45 l
+281.46 339.26 l
+282.16 339.08 l
+282.85 338.91 l
+283.55 338.73 l
+284.25 338.57 l
+284.94 338.40 l
+285.64 338.24 l
+286.34 338.08 l
+287.03 337.92 l
+287.73 337.77 l
+288.43 337.62 l
+289.12 337.48 l
+289.82 337.34 l
+290.52 337.20 l
+291.21 337.06 l
+291.91 336.93 l
+292.61 336.80 l
+293.30 336.67 l
+294.00 336.55 l
+294.70 336.42 l
+295.39 336.30 l
+296.09 336.18 l
+296.79 336.06 l
+297.48 335.95 l
+298.18 335.83 l
+298.88 335.72 l
+299.57 335.60 l
+300.27 335.48 l
+300.97 335.37 l
+301.67 335.25 l
+302.36 335.13 l
+303.06 335.01 l
+303.76 334.89 l
+304.45 334.76 l
+305.15 334.64 l
+305.85 334.51 l
+306.54 334.37 l
+307.24 334.24 l
+307.94 334.10 l
+308.63 333.96 l
+309.33 333.82 l
+310.03 333.67 l
+310.72 333.53 l
+311.42 333.38 l
+312.12 333.23 l
+312.81 333.08 l
+313.51 332.92 l
+314.21 332.77 l
+314.90 332.62 l
+315.60 332.46 l
+316.30 332.31 l
+316.99 332.16 l
+317.69 332.02 l
+318.39 331.87 l
+319.08 331.73 l
+319.78 331.59 l
+320.48 331.46 l
+321.17 331.33 l
+321.87 331.21 l
+322.57 331.09 l
+323.26 330.98 l
+323.96 330.87 l
+324.66 330.77 l
+325.35 330.67 l
+326.05 330.58 l
+326.75 330.50 l
+327.44 330.42 l
+328.14 330.35 l
+328.84 330.28 l
+329.53 330.22 l
+330.23 330.16 l
+330.93 330.11 l
+331.62 330.07 l
+332.32 330.02 l
+333.02 329.99 l
+333.71 329.95 l
+334.41 329.92 l
+335.11 329.89 l
+335.80 329.87 l
+336.50 329.85 l
+337.20 329.83 l
+337.89 329.81 l
+338.59 329.80 l
+339.29 329.78 l
+339.98 329.77 l
+340.68 329.76 l
+341.38 329.75 l
+342.07 329.75 l
+342.77 329.74 l
+343.47 329.73 l
+344.16 329.73 l
+344.86 329.72 l
+345.56 329.72 l
+346.25 329.71 l
+346.95 329.70 l
+347.65 329.70 l
+348.34 329.69 l
+349.04 329.69 l
+349.74 329.68 l
+350.43 329.67 l
+351.13 329.66 l
+351.83 329.65 l
+352.52 329.64 l
+353.22 329.63 l
+353.92 329.62 l
+354.61 329.61 l
+355.31 329.60 l
+356.01 329.58 l
+356.70 329.57 l
+357.40 329.56 l
+358.10 329.55 l
+358.79 329.54 l
+359.49 329.53 l
+360.19 329.52 l
+360.88 329.51 l
+361.58 329.50 l
+362.28 329.49 l
+362.97 329.49 l
+363.67 329.49 l
+364.37 329.48 l
+365.06 329.48 l
+365.76 329.48 l
+366.46 329.49 l
+367.15 329.49 l
+367.85 329.49 l
+368.55 329.50 l
+369.24 329.51 l
+369.94 329.51 l
+370.64 329.52 l
+371.33 329.53 l
+372.03 329.54 l
+372.73 329.55 l
+373.42 329.56 l
+374.12 329.57 l
+374.82 329.57 l
+375.51 329.58 l
+376.21 329.58 l
+376.91 329.59 l
+377.60 329.59 l
+378.30 329.59 l
+379.00 329.59 l
+379.69 329.59 l
+380.39 329.59 l
+381.09 329.58 l
+381.78 329.58 l
+382.48 329.57 l
+383.18 329.56 l
+383.87 329.55 l
+384.57 329.54 l
+385.27 329.52 l
+385.96 329.51 l
+386.66 329.49 l
+387.36 329.48 l
+388.05 329.46 l
+388.75 329.45 l
+389.45 329.43 l
+390.14 329.42 l
+390.84 329.40 l
+391.54 329.39 l
+392.23 329.38 l
+392.93 329.36 l
+393.63 329.35 l
+394.32 329.34 l
+395.02 329.33 l
+395.72 329.32 l
+396.41 329.31 l
+397.11 329.30 l
+397.81 329.29 l
+398.50 329.28 l
+399.20 329.28 l
+399.90 329.27 l
+400.59 329.26 l
+401.29 329.26 l
+401.99 329.26 l
+402.68 329.25 l
+403.38 329.25 l
+404.08 329.25 l
+404.77 329.24 l
+405.47 329.24 l
+406.17 329.24 l
+406.86 329.24 l
+407.56 329.24 l
+408.26 329.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+39.18 326.02 m 397.74 326.02 l S
+39.18 326.02 m 39.18 323.64 l S
+128.82 326.02 m 128.82 323.64 l S
+218.46 326.02 m 218.46 323.64 l S
+308.10 326.02 m 308.10 323.64 l S
+397.74 326.02 m 397.74 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 34.73 312.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 124.37 312.71 Tm (15) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 214.01 312.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 303.65 312.71 Tm (25) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 393.29 312.71 Tm (30) Tj
+ET
+38.02 329.23 m 38.02 401.57 l S
+38.02 329.23 m 35.64 329.23 l S
+38.02 353.35 m 35.64 353.35 l S
+38.02 377.46 m 35.64 377.46 l S
+38.02 401.57 m 35.64 401.57 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 321.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 345.56 Tm (0.05) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 369.68 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 393.79 Tm (0.15) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 418.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 356.17 Tm (Density) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.23 m 422.50 329.23 l S
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 185.38 m
+52.95 185.57 l
+53.65 185.98 l
+54.35 186.77 l
+55.04 188.21 l
+55.74 190.60 l
+56.44 194.33 l
+57.13 199.72 l
+57.83 206.94 l
+58.53 215.89 l
+59.22 226.12 l
+59.92 236.83 l
+60.62 246.90 l
+61.31 255.38 l
+62.01 261.52 l
+62.71 264.97 l
+63.40 265.77 l
+64.10 264.29 l
+64.80 261.11 l
+65.49 256.84 l
+66.19 252.06 l
+66.89 247.20 l
+67.58 242.57 l
+68.28 238.35 l
+68.98 234.59 l
+69.67 231.27 l
+70.37 228.31 l
+71.07 225.60 l
+71.76 223.01 l
+72.46 220.45 l
+73.16 217.88 l
+73.85 215.33 l
+74.55 212.85 l
+75.25 210.51 l
+75.94 208.35 l
+76.64 206.41 l
+77.34 204.67 l
+78.03 203.12 l
+78.73 201.77 l
+79.43 200.60 l
+80.12 199.64 l
+80.82 198.88 l
+81.52 198.33 l
+82.21 197.96 l
+82.91 197.73 l
+83.61 197.60 l
+84.30 197.53 l
+85.00 197.46 l
+85.70 197.37 l
+86.39 197.25 l
+87.09 197.06 l
+87.79 196.82 l
+88.48 196.51 l
+89.18 196.12 l
+89.88 195.67 l
+90.57 195.13 l
+91.27 194.54 l
+91.97 193.90 l
+92.66 193.25 l
+93.36 192.62 l
+94.06 192.03 l
+94.75 191.48 l
+95.45 190.97 l
+96.15 190.49 l
+96.84 190.03 l
+97.54 189.60 l
+98.24 189.21 l
+98.93 188.91 l
+99.63 188.73 l
+100.33 188.65 l
+101.02 188.68 l
+101.72 188.76 l
+102.42 188.86 l
+103.11 188.93 l
+103.81 188.94 l
+104.51 188.88 l
+105.20 188.76 l
+105.90 188.60 l
+106.60 188.42 l
+107.29 188.25 l
+107.99 188.11 l
+108.69 187.99 l
+109.38 187.89 l
+110.08 187.81 l
+110.78 187.74 l
+111.47 187.66 l
+112.17 187.57 l
+112.87 187.47 l
+113.56 187.36 l
+114.26 187.25 l
+114.96 187.13 l
+115.65 187.00 l
+116.35 186.89 l
+117.05 186.78 l
+117.74 186.69 l
+118.44 186.62 l
+119.14 186.56 l
+119.83 186.53 l
+120.53 186.52 l
+121.23 186.51 l
+121.92 186.50 l
+122.62 186.50 l
+123.32 186.51 l
+124.01 186.52 l
+124.71 186.55 l
+125.41 186.59 l
+126.10 186.65 l
+126.80 186.71 l
+127.50 186.76 l
+128.19 186.81 l
+128.89 186.85 l
+129.59 186.89 l
+130.28 186.91 l
+130.98 186.92 l
+131.68 186.92 l
+132.37 186.89 l
+133.07 186.83 l
+133.77 186.75 l
+134.46 186.64 l
+135.16 186.51 l
+135.86 186.38 l
+136.55 186.26 l
+137.25 186.16 l
+137.95 186.08 l
+138.64 186.03 l
+139.34 186.03 l
+140.04 186.07 l
+140.73 186.16 l
+141.43 186.27 l
+142.13 186.41 l
+142.82 186.54 l
+143.52 186.64 l
+144.22 186.69 l
+144.91 186.67 l
+145.61 186.59 l
+146.31 186.45 l
+147.00 186.27 l
+147.70 186.07 l
+148.40 185.87 l
+149.09 185.69 l
+149.79 185.56 l
+150.49 185.47 l
+151.18 185.43 l
+151.88 185.43 l
+152.58 185.46 l
+153.27 185.51 l
+153.97 185.57 l
+154.67 185.63 l
+155.36 185.69 l
+156.06 185.73 l
+156.76 185.76 l
+157.45 185.76 l
+158.15 185.74 l
+158.85 185.69 l
+159.54 185.62 l
+160.24 185.55 l
+160.94 185.47 l
+161.63 185.40 l
+162.33 185.35 l
+163.03 185.31 l
+163.72 185.29 l
+164.42 185.29 l
+165.12 185.32 l
+165.81 185.35 l
+166.51 185.41 l
+167.21 185.48 l
+167.90 185.55 l
+168.60 185.61 l
+169.30 185.65 l
+169.99 185.66 l
+170.69 185.64 l
+171.39 185.60 l
+172.08 185.53 l
+172.78 185.46 l
+173.48 185.40 l
+174.17 185.35 l
+174.87 185.32 l
+175.57 185.30 l
+176.26 185.30 l
+176.96 185.32 l
+177.66 185.35 l
+178.35 185.40 l
+179.05 185.44 l
+179.75 185.49 l
+180.44 185.54 l
+181.14 185.59 l
+181.84 185.63 l
+182.53 185.68 l
+183.23 185.71 l
+183.93 185.73 l
+184.62 185.73 l
+185.32 185.72 l
+186.02 185.68 l
+186.71 185.64 l
+187.41 185.60 l
+188.11 185.57 l
+188.80 185.55 l
+189.50 185.55 l
+190.20 185.57 l
+190.89 185.59 l
+191.59 185.61 l
+192.29 185.63 l
+192.98 185.65 l
+193.68 185.67 l
+194.38 185.67 l
+195.07 185.67 l
+195.77 185.66 l
+196.47 185.63 l
+197.16 185.61 l
+197.86 185.58 l
+198.56 185.57 l
+199.25 185.57 l
+199.95 185.59 l
+200.65 185.63 l
+201.34 185.68 l
+202.04 185.72 l
+202.74 185.77 l
+203.43 185.79 l
+204.13 185.79 l
+204.83 185.75 l
+205.52 185.70 l
+206.22 185.62 l
+206.92 185.54 l
+207.61 185.46 l
+208.31 185.39 l
+209.01 185.33 l
+209.70 185.29 l
+210.40 185.27 l
+211.10 185.25 l
+211.79 185.24 l
+212.49 185.24 l
+213.19 185.24 l
+213.88 185.24 l
+214.58 185.24 l
+215.28 185.24 l
+215.97 185.24 l
+216.67 185.24 l
+217.37 185.24 l
+218.06 185.25 l
+218.76 185.26 l
+219.46 185.27 l
+220.15 185.30 l
+220.85 185.35 l
+221.55 185.40 l
+222.24 185.47 l
+222.94 185.54 l
+223.64 185.61 l
+224.33 185.66 l
+225.03 185.69 l
+225.73 185.69 l
+226.42 185.68 l
+227.12 185.65 l
+227.82 185.61 l
+228.51 185.58 l
+229.21 185.55 l
+229.91 185.52 l
+230.60 185.48 l
+231.30 185.45 l
+232.00 185.41 l
+232.69 185.36 l
+233.39 185.33 l
+234.09 185.30 l
+234.78 185.27 l
+235.48 185.26 l
+236.18 185.25 l
+236.87 185.24 l
+237.57 185.24 l
+238.27 185.24 l
+238.96 185.24 l
+239.66 185.24 l
+240.36 185.24 l
+241.05 185.24 l
+241.75 185.24 l
+242.45 185.24 l
+243.14 185.24 l
+243.84 185.24 l
+244.54 185.24 l
+245.23 185.24 l
+245.93 185.24 l
+246.63 185.24 l
+247.32 185.24 l
+248.02 185.24 l
+248.72 185.24 l
+249.41 185.24 l
+250.11 185.24 l
+250.81 185.24 l
+251.50 185.24 l
+252.20 185.24 l
+252.90 185.24 l
+253.59 185.24 l
+254.29 185.24 l
+254.99 185.24 l
+255.68 185.24 l
+256.38 185.24 l
+257.08 185.24 l
+257.77 185.25 l
+258.47 185.26 l
+259.17 185.28 l
+259.86 185.31 l
+260.56 185.34 l
+261.26 185.38 l
+261.95 185.41 l
+262.65 185.44 l
+263.35 185.45 l
+264.04 185.45 l
+264.74 185.43 l
+265.44 185.40 l
+266.13 185.37 l
+266.83 185.33 l
+267.53 185.30 l
+268.22 185.28 l
+268.92 185.26 l
+269.62 185.25 l
+270.31 185.24 l
+271.01 185.24 l
+271.71 185.24 l
+272.40 185.24 l
+273.10 185.24 l
+273.80 185.24 l
+274.49 185.24 l
+275.19 185.24 l
+275.89 185.24 l
+276.58 185.24 l
+277.28 185.24 l
+277.98 185.24 l
+278.67 185.24 l
+279.37 185.24 l
+280.07 185.24 l
+280.76 185.24 l
+281.46 185.24 l
+282.16 185.24 l
+282.85 185.24 l
+283.55 185.24 l
+284.25 185.24 l
+284.94 185.24 l
+285.64 185.24 l
+286.34 185.24 l
+287.03 185.24 l
+287.73 185.24 l
+288.43 185.24 l
+289.12 185.24 l
+289.82 185.24 l
+290.52 185.24 l
+291.21 185.24 l
+291.91 185.24 l
+292.61 185.24 l
+293.30 185.24 l
+294.00 185.24 l
+294.70 185.24 l
+295.39 185.24 l
+296.09 185.24 l
+296.79 185.24 l
+297.48 185.24 l
+298.18 185.24 l
+298.88 185.24 l
+299.57 185.24 l
+300.27 185.24 l
+300.97 185.24 l
+301.67 185.24 l
+302.36 185.24 l
+303.06 185.24 l
+303.76 185.24 l
+304.45 185.24 l
+305.15 185.24 l
+305.85 185.24 l
+306.54 185.24 l
+307.24 185.24 l
+307.94 185.25 l
+308.63 185.26 l
+309.33 185.27 l
+310.03 185.29 l
+310.72 185.32 l
+311.42 185.35 l
+312.12 185.39 l
+312.81 185.42 l
+313.51 185.44 l
+314.21 185.45 l
+314.90 185.44 l
+315.60 185.42 l
+316.30 185.39 l
+316.99 185.35 l
+317.69 185.32 l
+318.39 185.29 l
+319.08 185.27 l
+319.78 185.26 l
+320.48 185.25 l
+321.17 185.24 l
+321.87 185.24 l
+322.57 185.24 l
+323.26 185.24 l
+323.96 185.24 l
+324.66 185.24 l
+325.35 185.24 l
+326.05 185.24 l
+326.75 185.24 l
+327.44 185.24 l
+328.14 185.24 l
+328.84 185.24 l
+329.53 185.24 l
+330.23 185.24 l
+330.93 185.24 l
+331.62 185.24 l
+332.32 185.24 l
+333.02 185.24 l
+333.71 185.24 l
+334.41 185.24 l
+335.11 185.24 l
+335.80 185.24 l
+336.50 185.24 l
+337.20 185.24 l
+337.89 185.24 l
+338.59 185.24 l
+339.29 185.24 l
+339.98 185.24 l
+340.68 185.24 l
+341.38 185.24 l
+342.07 185.24 l
+342.77 185.24 l
+343.47 185.24 l
+344.16 185.24 l
+344.86 185.24 l
+345.56 185.24 l
+346.25 185.24 l
+346.95 185.24 l
+347.65 185.24 l
+348.34 185.24 l
+349.04 185.24 l
+349.74 185.24 l
+350.43 185.24 l
+351.13 185.24 l
+351.83 185.24 l
+352.52 185.24 l
+353.22 185.24 l
+353.92 185.24 l
+354.61 185.24 l
+355.31 185.24 l
+356.01 185.24 l
+356.70 185.24 l
+357.40 185.24 l
+358.10 185.24 l
+358.79 185.24 l
+359.49 185.24 l
+360.19 185.24 l
+360.88 185.24 l
+361.58 185.24 l
+362.28 185.24 l
+362.97 185.24 l
+363.67 185.24 l
+364.37 185.24 l
+365.06 185.24 l
+365.76 185.24 l
+366.46 185.24 l
+367.15 185.24 l
+367.85 185.24 l
+368.55 185.24 l
+369.24 185.24 l
+369.94 185.24 l
+370.64 185.24 l
+371.33 185.24 l
+372.03 185.24 l
+372.73 185.24 l
+373.42 185.25 l
+374.12 185.26 l
+374.82 185.27 l
+375.51 185.30 l
+376.21 185.33 l
+376.91 185.36 l
+377.60 185.39 l
+378.30 185.42 l
+379.00 185.44 l
+379.69 185.45 l
+380.39 185.44 l
+381.09 185.41 l
+381.78 185.38 l
+382.48 185.35 l
+383.18 185.31 l
+383.87 185.29 l
+384.57 185.27 l
+385.27 185.25 l
+385.96 185.25 l
+386.66 185.24 l
+387.36 185.24 l
+388.05 185.24 l
+388.75 185.24 l
+389.45 185.24 l
+390.14 185.24 l
+390.84 185.24 l
+391.54 185.24 l
+392.23 185.24 l
+392.93 185.24 l
+393.63 185.24 l
+394.32 185.25 l
+395.02 185.25 l
+395.72 185.27 l
+396.41 185.29 l
+397.11 185.31 l
+397.81 185.34 l
+398.50 185.38 l
+399.20 185.41 l
+399.90 185.44 l
+400.59 185.45 l
+401.29 185.45 l
+401.99 185.43 l
+402.68 185.40 l
+403.38 185.36 l
+404.08 185.33 l
+404.77 185.30 l
+405.47 185.28 l
+406.17 185.26 l
+406.86 185.25 l
+407.56 185.24 l
+408.26 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+59.46 182.02 m 413.80 182.02 l S
+59.46 182.02 m 59.46 179.64 l S
+148.04 182.02 m 148.04 179.64 l S
+236.63 182.02 m 236.63 179.64 l S
+325.21 182.02 m 325.21 179.64 l S
+413.80 182.02 m 413.80 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 57.24 168.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 141.37 168.71 Tm (100) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 229.96 168.71 Tm (200) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 318.54 168.71 Tm (300) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 407.12 168.71 Tm (400) Tj
+ET
+38.02 185.24 m 38.02 261.24 l S
+38.02 185.24 m 35.64 185.24 l S
+38.02 200.44 m 35.64 200.44 l S
+38.02 215.64 m 35.64 215.64 l S
+38.02 230.84 m 35.64 230.84 l S
+38.02 246.04 m 35.64 246.04 l S
+38.02 261.24 m 35.64 261.24 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 177.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 207.85 Tm (0.02) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 238.25 Tm (0.04) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 274.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.24 m 422.50 185.24 l S
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 41.24 m
+52.95 41.24 l
+53.65 41.24 l
+54.35 41.24 l
+55.04 41.24 l
+55.74 41.25 l
+56.44 41.25 l
+57.13 41.25 l
+57.83 41.26 l
+58.53 41.26 l
+59.22 41.27 l
+59.92 41.28 l
+60.62 41.28 l
+61.31 41.29 l
+62.01 41.30 l
+62.71 41.31 l
+63.40 41.33 l
+64.10 41.34 l
+64.80 41.36 l
+65.49 41.37 l
+66.19 41.39 l
+66.89 41.41 l
+67.58 41.43 l
+68.28 41.46 l
+68.98 41.48 l
+69.67 41.50 l
+70.37 41.53 l
+71.07 41.56 l
+71.76 41.58 l
+72.46 41.61 l
+73.16 41.64 l
+73.85 41.67 l
+74.55 41.70 l
+75.25 41.73 l
+75.94 41.75 l
+76.64 41.78 l
+77.34 41.81 l
+78.03 41.84 l
+78.73 41.87 l
+79.43 41.89 l
+80.12 41.92 l
+80.82 41.95 l
+81.52 41.97 l
+82.21 42.00 l
+82.91 42.03 l
+83.61 42.06 l
+84.30 42.09 l
+85.00 42.12 l
+85.70 42.16 l
+86.39 42.19 l
+87.09 42.23 l
+87.79 42.28 l
+88.48 42.32 l
+89.18 42.37 l
+89.88 42.43 l
+90.57 42.49 l
+91.27 42.56 l
+91.97 42.64 l
+92.66 42.72 l
+93.36 42.81 l
+94.06 42.91 l
+94.75 43.02 l
+95.45 43.14 l
+96.15 43.27 l
+96.84 43.42 l
+97.54 43.57 l
+98.24 43.74 l
+98.93 43.93 l
+99.63 44.12 l
+100.33 44.33 l
+101.02 44.55 l
+101.72 44.79 l
+102.42 45.04 l
+103.11 45.31 l
+103.81 45.59 l
+104.51 45.88 l
+105.20 46.18 l
+105.90 46.49 l
+106.60 46.81 l
+107.29 47.14 l
+107.99 47.47 l
+108.69 47.81 l
+109.38 48.15 l
+110.08 48.50 l
+110.78 48.84 l
+111.47 49.18 l
+112.17 49.52 l
+112.87 49.85 l
+113.56 50.18 l
+114.26 50.50 l
+114.96 50.81 l
+115.65 51.11 l
+116.35 51.41 l
+117.05 51.69 l
+117.74 51.97 l
+118.44 52.23 l
+119.14 52.49 l
+119.83 52.74 l
+120.53 52.99 l
+121.23 53.23 l
+121.92 53.47 l
+122.62 53.70 l
+123.32 53.94 l
+124.01 54.19 l
+124.71 54.44 l
+125.41 54.70 l
+126.10 54.98 l
+126.80 55.27 l
+127.50 55.57 l
+128.19 55.90 l
+128.89 56.25 l
+129.59 56.63 l
+130.28 57.03 l
+130.98 57.46 l
+131.68 57.93 l
+132.37 58.42 l
+133.07 58.96 l
+133.77 59.52 l
+134.46 60.12 l
+135.16 60.76 l
+135.86 61.43 l
+136.55 62.15 l
+137.25 62.90 l
+137.95 63.68 l
+138.64 64.50 l
+139.34 65.34 l
+140.04 66.23 l
+140.73 67.15 l
+141.43 68.10 l
+142.13 69.08 l
+142.82 70.08 l
+143.52 71.11 l
+144.22 72.16 l
+144.91 73.24 l
+145.61 74.34 l
+146.31 75.46 l
+147.00 76.59 l
+147.70 77.74 l
+148.40 78.91 l
+149.09 80.09 l
+149.79 81.29 l
+150.49 82.49 l
+151.18 83.71 l
+151.88 84.93 l
+152.58 86.16 l
+153.27 87.40 l
+153.97 88.64 l
+154.67 89.89 l
+155.36 91.14 l
+156.06 92.39 l
+156.76 93.63 l
+157.45 94.87 l
+158.15 96.10 l
+158.85 97.33 l
+159.54 98.54 l
+160.24 99.74 l
+160.94 100.91 l
+161.63 102.07 l
+162.33 103.20 l
+163.03 104.30 l
+163.72 105.37 l
+164.42 106.40 l
+165.12 107.40 l
+165.81 108.35 l
+166.51 109.26 l
+167.21 110.13 l
+167.90 110.95 l
+168.60 111.72 l
+169.30 112.45 l
+169.99 113.12 l
+170.69 113.75 l
+171.39 114.32 l
+172.08 114.86 l
+172.78 115.35 l
+173.48 115.80 l
+174.17 116.22 l
+174.87 116.59 l
+175.57 116.93 l
+176.26 117.25 l
+176.96 117.54 l
+177.66 117.81 l
+178.35 118.06 l
+179.05 118.29 l
+179.75 118.51 l
+180.44 118.72 l
+181.14 118.92 l
+181.84 119.12 l
+182.53 119.31 l
+183.23 119.50 l
+183.93 119.69 l
+184.62 119.87 l
+185.32 120.06 l
+186.02 120.24 l
+186.71 120.42 l
+187.41 120.60 l
+188.11 120.77 l
+188.80 120.94 l
+189.50 121.10 l
+190.20 121.25 l
+190.89 121.39 l
+191.59 121.51 l
+192.29 121.61 l
+192.98 121.69 l
+193.68 121.74 l
+194.38 121.77 l
+195.07 121.77 l
+195.77 121.74 l
+196.47 121.67 l
+197.16 121.56 l
+197.86 121.41 l
+198.56 121.23 l
+199.25 121.01 l
+199.95 120.75 l
+200.65 120.45 l
+201.34 120.12 l
+202.04 119.75 l
+202.74 119.35 l
+203.43 118.93 l
+204.13 118.48 l
+204.83 118.01 l
+205.52 117.52 l
+206.22 117.02 l
+206.92 116.50 l
+207.61 115.98 l
+208.31 115.45 l
+209.01 114.92 l
+209.70 114.39 l
+210.40 113.85 l
+211.10 113.32 l
+211.79 112.78 l
+212.49 112.23 l
+213.19 111.69 l
+213.88 111.13 l
+214.58 110.57 l
+215.28 110.00 l
+215.97 109.41 l
+216.67 108.81 l
+217.37 108.19 l
+218.06 107.54 l
+218.76 106.88 l
+219.46 106.19 l
+220.15 105.47 l
+220.85 104.73 l
+221.55 103.97 l
+222.24 103.18 l
+222.94 102.36 l
+223.64 101.51 l
+224.33 100.65 l
+225.03 99.76 l
+225.73 98.86 l
+226.42 97.94 l
+227.12 97.01 l
+227.82 96.07 l
+228.51 95.12 l
+229.21 94.17 l
+229.91 93.22 l
+230.60 92.27 l
+231.30 91.32 l
+232.00 90.39 l
+232.69 89.47 l
+233.39 88.56 l
+234.09 87.66 l
+234.78 86.79 l
+235.48 85.94 l
+236.18 85.11 l
+236.87 84.30 l
+237.57 83.51 l
+238.27 82.75 l
+238.96 82.02 l
+239.66 81.31 l
+240.36 80.63 l
+241.05 79.97 l
+241.75 79.34 l
+242.45 78.72 l
+243.14 78.12 l
+243.84 77.54 l
+244.54 76.97 l
+245.23 76.41 l
+245.93 75.85 l
+246.63 75.30 l
+247.32 74.75 l
+248.02 74.19 l
+248.72 73.63 l
+249.41 73.05 l
+250.11 72.46 l
+250.81 71.86 l
+251.50 71.24 l
+252.20 70.60 l
+252.90 69.93 l
+253.59 69.25 l
+254.29 68.55 l
+254.99 67.83 l
+255.68 67.10 l
+256.38 66.34 l
+257.08 65.57 l
+257.77 64.80 l
+258.47 64.01 l
+259.17 63.22 l
+259.86 62.43 l
+260.56 61.64 l
+261.26 60.86 l
+261.95 60.08 l
+262.65 59.32 l
+263.35 58.57 l
+264.04 57.84 l
+264.74 57.12 l
+265.44 56.44 l
+266.13 55.78 l
+266.83 55.14 l
+267.53 54.54 l
+268.22 53.96 l
+268.92 53.41 l
+269.62 52.90 l
+270.31 52.42 l
+271.01 51.97 l
+271.71 51.56 l
+272.40 51.17 l
+273.10 50.82 l
+273.80 50.49 l
+274.49 50.20 l
+275.19 49.93 l
+275.89 49.69 l
+276.58 49.47 l
+277.28 49.28 l
+277.98 49.10 l
+278.67 48.94 l
+279.37 48.79 l
+280.07 48.66 l
+280.76 48.54 l
+281.46 48.42 l
+282.16 48.31 l
+282.85 48.21 l
+283.55 48.10 l
+284.25 48.00 l
+284.94 47.90 l
+285.64 47.80 l
+286.34 47.69 l
+287.03 47.58 l
+287.73 47.47 l
+288.43 47.36 l
+289.12 47.24 l
+289.82 47.12 l
+290.52 47.00 l
+291.21 46.88 l
+291.91 46.75 l
+292.61 46.62 l
+293.30 46.49 l
+294.00 46.36 l
+294.70 46.24 l
+295.39 46.11 l
+296.09 45.98 l
+296.79 45.86 l
+297.48 45.73 l
+298.18 45.61 l
+298.88 45.49 l
+299.57 45.37 l
+300.27 45.26 l
+300.97 45.15 l
+301.67 45.04 l
+302.36 44.93 l
+303.06 44.82 l
+303.76 44.71 l
+304.45 44.61 l
+305.15 44.51 l
+305.85 44.40 l
+306.54 44.30 l
+307.24 44.20 l
+307.94 44.10 l
+308.63 44.00 l
+309.33 43.89 l
+310.03 43.79 l
+310.72 43.69 l
+311.42 43.59 l
+312.12 43.49 l
+312.81 43.39 l
+313.51 43.29 l
+314.21 43.19 l
+314.90 43.10 l
+315.60 43.00 l
+316.30 42.91 l
+316.99 42.82 l
+317.69 42.74 l
+318.39 42.65 l
+319.08 42.57 l
+319.78 42.49 l
+320.48 42.42 l
+321.17 42.35 l
+321.87 42.28 l
+322.57 42.22 l
+323.26 42.16 l
+323.96 42.11 l
+324.66 42.06 l
+325.35 42.01 l
+326.05 41.97 l
+326.75 41.93 l
+327.44 41.90 l
+328.14 41.87 l
+328.84 41.84 l
+329.53 41.81 l
+330.23 41.79 l
+330.93 41.78 l
+331.62 41.76 l
+332.32 41.75 l
+333.02 41.73 l
+333.71 41.72 l
+334.41 41.72 l
+335.11 41.71 l
+335.80 41.70 l
+336.50 41.70 l
+337.20 41.69 l
+337.89 41.68 l
+338.59 41.68 l
+339.29 41.67 l
+339.98 41.66 l
+340.68 41.65 l
+341.38 41.64 l
+342.07 41.63 l
+342.77 41.62 l
+343.47 41.60 l
+344.16 41.59 l
+344.86 41.57 l
+345.56 41.55 l
+346.25 41.53 l
+346.95 41.51 l
+347.65 41.49 l
+348.34 41.48 l
+349.04 41.46 l
+349.74 41.44 l
+350.43 41.42 l
+351.13 41.40 l
+351.83 41.38 l
+352.52 41.37 l
+353.22 41.35 l
+353.92 41.34 l
+354.61 41.33 l
+355.31 41.32 l
+356.01 41.31 l
+356.70 41.30 l
+357.40 41.29 l
+358.10 41.28 l
+358.79 41.28 l
+359.49 41.27 l
+360.19 41.27 l
+360.88 41.27 l
+361.58 41.27 l
+362.28 41.27 l
+362.97 41.27 l
+363.67 41.27 l
+364.37 41.28 l
+365.06 41.28 l
+365.76 41.29 l
+366.46 41.30 l
+367.15 41.31 l
+367.85 41.32 l
+368.55 41.33 l
+369.24 41.34 l
+369.94 41.36 l
+370.64 41.37 l
+371.33 41.39 l
+372.03 41.41 l
+372.73 41.42 l
+373.42 41.44 l
+374.12 41.46 l
+374.82 41.48 l
+375.51 41.49 l
+376.21 41.51 l
+376.91 41.53 l
+377.60 41.54 l
+378.30 41.56 l
+379.00 41.57 l
+379.69 41.58 l
+380.39 41.59 l
+381.09 41.59 l
+381.78 41.60 l
+382.48 41.60 l
+383.18 41.60 l
+383.87 41.59 l
+384.57 41.59 l
+385.27 41.58 l
+385.96 41.57 l
+386.66 41.56 l
+387.36 41.55 l
+388.05 41.53 l
+388.75 41.52 l
+389.45 41.50 l
+390.14 41.48 l
+390.84 41.46 l
+391.54 41.45 l
+392.23 41.43 l
+392.93 41.41 l
+393.63 41.39 l
+394.32 41.38 l
+395.02 41.36 l
+395.72 41.35 l
+396.41 41.33 l
+397.11 41.32 l
+397.81 41.31 l
+398.50 41.30 l
+399.20 41.29 l
+399.90 41.28 l
+400.59 41.27 l
+401.29 41.27 l
+401.99 41.26 l
+402.68 41.26 l
+403.38 41.25 l
+404.08 41.25 l
+404.77 41.25 l
+405.47 41.24 l
+406.17 41.24 l
+406.86 41.24 l
+407.56 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+55.06 38.02 m 417.17 38.02 l S
+55.06 38.02 m 55.06 35.64 l S
+106.79 38.02 m 106.79 35.64 l S
+158.52 38.02 m 158.52 35.64 l S
+210.25 38.02 m 210.25 35.64 l S
+261.98 38.02 m 261.98 35.64 l S
+313.71 38.02 m 313.71 35.64 l S
+365.44 38.02 m 365.44 35.64 l S
+417.17 38.02 m 417.17 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 52.84 24.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 104.57 24.71 Tm (5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 154.07 24.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 205.80 24.71 Tm (15) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 257.53 24.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 309.26 24.71 Tm (25) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 360.99 24.71 Tm (30) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 412.72 24.71 Tm (35) Tj
+ET
+38.02 41.23 m 38.02 117.29 l S
+38.02 41.23 m 35.64 41.23 l S
+38.02 56.45 m 35.64 56.45 l S
+38.02 71.66 m 35.64 71.66 l S
+38.02 86.87 m 35.64 86.87 l S
+38.02 102.08 m 35.64 102.08 l S
+38.02 117.29 m 35.64 117.29 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 33.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 63.87 Tm (0.04) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 94.30 Tm (0.08) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 152.70 130.91 Tm (First Differences: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.23 m 422.50 41.23 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2637 0 obj
+<<
+/CreationDate (D:20070601024021)
+/ModDate (D:20070601024021)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2638 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
 >>
-stream
-x��YK��4���
� Z�Kq`���� �!ώ�{��]���-Ɏ�(���*���-������y{���;mf�����~f��PK��_�?����B�bSn�����
׉,�-8'
�Gџ�>ʸD�3
Q�-(63�|��q|�`�^���c��O2�����ͤ+���ŧ9N���
����z��͜�z�`Eمy��3�2��dQ�3���H
����w�9�)�X�_¸ۃ�JK��3�(��E3�Z0����ጙ5 at D�'�0�h��^U˯c��r߂��o���
�o�d��J���t����{('
��efwm�
�{
\>f�_HM�
-9�*J���(�M]�����
��o�� ,ܔ}��z}
-�e
���Yue���}��� ���	X!����B�1q�p�����6��*X7� 
���ǽ?t�� ~/���0콇@0 Vb�h]pLj���D���!N��~���jh��*��{�h�)��6�<z7����8}2Y�rC�
@��r~bOE�R�
�"1�F_r��;�
�-j�CPt9U��
�0q����JT��
tn�*qf~�Lf"EC޺Y{�l�͜��3B�{�%��k"){Η���M�.	�
-9B��
g�4��#ܹK>P��b.��뜿�u���2يC1�ĉ!�D��B�b
�h��$��|���g�\ù�5�J�eN���p�u�;�P:�+b��I"1pt�p@�
4�=g�L٥C��Z�KE��
�w��-�ˮ��/��4�G��˺��É	Ks��E!��!DV�<`�b�'aqC
�"�8,�S��
�~��[O3Z���~��0�f�T����ς�2���
�z���
�@9���Z��|J
0'�0��cr��8yD���8SU�XS�V�V��|"q���E�x �r�	��d�8z	댍_��6�J�B�	�f'��!��e�5G��+�=�#	H<R�
A�C.���e���@&-3���.��VO�
&���!^�D
-w�=�LJzns�	C�
���
g�!��#"��Y�2�
-t.�I�s����@�1�=ח�S�`��e8�Ïqv�sY��.|i�Y#S�Fّc�dʱ�F��~9R[�,2�a�MXe	�@*��SO�pP
o�ˢ�[�����M��m���ed����!�4�S5�٪j.W�c��p�|�K�M��">� ��ѳ��C �sT�����[��P��
7ld4/Y�t@ԗ7z
�U>����P* :�B�~^�?� +�x��	
8�T�˜�>�^b�w�sbv5'�Wpb�4'֗8���X���M�����z�+hP�w�JM�����p��E�����q�����-�>�8���֍	.�����)�'��R�0Y�� O.1�l�|ݴ�xg�
	��ސ!H
�b�1ؕ��b��?­�b�W�X�._��)ay���6 ���o ��
��9$
�m<�E\�Q�U(D�w�,���3�2b#�����ڥo'`��)_l�}
�N�g_k-
�]l-,$rk��W/�bh�dN�6ˀ����g����wG�4�
�:z�݌�ݜ�1�F}��}��%>0
�sRj����!��/��5��r
~�U
zr�Q��k�����‡6̏��B���v5Ʊ+
��uU?�M
Q�Lga��#n
���&�Hp����d$W�c�^@i�Խd}l���=ɋP5Gj~�-�����d�����PC��A���'�cok
�L0.��2D!�
- 
�ʧ�hg�����U����e�?
w'�NjD��%{jO����7}lp$�5�96e�G�,�Q	>���|�# S�o���
-��`��mJ��h�_6��	-�T
E����m&9e�'x�
��J\:���9i�
m�	a���&�4D��d�\�D&H3ίI�Լ߿=�D_�=@���^�M0e1
ȧ9TP�9�B ����M���*&�
��@��	s��G8���c��Y�w�϶zX �Lk2&��
���ϛ�Fi��ҧh���>��	��X��!��!z��o8U7��	/�k��c��q�Ul
Ru78��9
�y��ݫ �L��endstream
 endobj
-2365 0 obj <<
-/Type /Page
-/Contents 2366 0 R
-/Resources 2364 0 R
-/MediaBox [0 0 612 792]
-/Parent 2344 0 R
->> endobj
-2367 0 obj <<
-/D [2365 0 R /XYZ 72 720 null]
->> endobj
-2368 0 obj <<
-/D [2365 0 R /XYZ 72 700.324 null]
->> endobj
-2364 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F52 1472 0 R /F48 554 0 R /F35 1440 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2371 0 obj <<
-/Length 2052      
-/Filter /FlateDecode
+2639 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2642 0 R
 >>
-stream
-x��X[sܶ~���d����"x�il9�4��Q2��}��X-j.�Cre˝�oϹa�+S
�y�
	
��
����w�s{��*���z}f͙�
�0��
�ۏ

��Ll��(Өj��w���?|���������#n��8�V��
#s�隇�Z-��68���`����U���Ҫ�y�
-7��~�`�ہ������
���뷸d�]˴O<IG�8&�x�MTZ{��'�X�@y�(L���**�S��9)�>W�]��a��#�� �{d������l$?0�
��E���],3�E���i�š��
:�g�
-�7��g�Sx����=LL'�^3�3�-y�7�l���p��̯o<{������ɘ1��:*T�B�ơͳ�1��,l��0A����d$��z���"���Mu�����
%yƼ&/�1%H�м_K�d*6�,���|{;�<���L6�(���c@|��b�|}�MTq8����wb
D�2��	��L�	q��Ѻ�Ӷ<a+&E�[,���z�U���x
-�����D|�(<f
j
-Uh�bЭq�G<zT�
璁��ȋ�ƅ��q��>�8[N
+���ogX�Jg��ħ�a7䩲i!~�H�؄2��D�9!0��ȟ��v[!z�yޭy-��� �(���d�w{���,�3U�F$
�J�*�{�0>��ld��!ݥ��ޡ�7�g)\㶎���<��%�(Ɍ�uy�U	^��&��o7a�f<Z�*.��D^
�8
*w�r�Sb�z挓�q&n<D@��X\�:
E��Ӌ	�e�UV��
`������xN�l
�E���5�:+�UQ; �̲��G|���ÖnR�����r�j�9a���%@�����#8�k�԰ca�	��3���(��}Xj�IK1$����Q�����s���i��� ��F�pj��\j2��Qr"�+,����n=�)��İG�U�gK��4|�GVk)�����
KV����2KL�����
��7 k��N!�Fǚc헪~
�����g�*�OKR�	
Di�^3ŏn+bW=W@�g��4�u^B
���d��eg
-,�0�~�:K��#�t>8�
�PҕtP5C� �v�ЃH��m%t\�<�� J�\�@���€ڥJM�8�6l�@��8�E�d�C�;�j+�P�Q��
��K]�Ź��'V�"��c����|�
����,v�2��1s��(������9T,Ȱ�4��|��oW4\�)�fH�&��7L?�4e[��t�|(���'�K��ifk�R��,3`�o�*�H%��ԡ��z6����ޱ���tAZ��5~�
�k��^
5'�M��w
����$�JN
2�G�
��C����j"m+2C�!Swa��[h�F���
�ڬ
-3o���ˉ�����m�oW�[�b�ޑ�G�P���*p|u�
�.v|���G6��"
q���1|{��=v�H�Nn�l���.g�vK�i%.�]�+Ť����m��]�c1����噳��р����)�1<���aƣ
�,�nr
<z������+y�q��(�.������ƈ�
A~.qq�@��$6Ԇ�
��"��j�񹸂���
OW��l&���Q�uA�.���
Km��(
r��uG�gT�n�e���� dC��'? ���*��8�aKsH/���%t+h�[��Õί�Z`d�C`�ʕ��숃�w���
�$�{^���Hi��c�ף��"z��:lyI!?��3�L.�Q�D6l�Ը�|ɬ�`�W(҃�p��7. �qSP��t�fr������a�욣���@V4�'*��|�8&r�z�
5Ԭ��//$�#��L��,�K���6�(��QW��4�?v\�S�.���?H�.����ioJ�~_�
��#�aM�* �A����h>u
��d�3�*;4�ra�Z����d�_B���c��]��]^�.����L��?�E�*���
��H�p-��\W��
�)Yh��8׉@�wh�Gi�?����G!�q���5��5�n:�Z�HCs��u��(��ﯟ��2�Zendstream
 endobj
-2370 0 obj <<
-/Type /Page
-/Contents 2371 0 R
-/Resources 2369 0 R
-/MediaBox [0 0 612 792]
-/Parent 2344 0 R
->> endobj
-2372 0 obj <<
-/D [2370 0 R /XYZ 72 720 null]
->> endobj
-2373 0 obj <<
-/D [2370 0 R /XYZ 72 697.999 null]
->> endobj
-2374 0 obj <<
-/D [2370 0 R /XYZ 72 375.998 null]
->> endobj
-2369 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2377 0 obj <<
-/Length 2328      
-/Filter /FlateDecode
+2640 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2642 0 R
 >>
-stream
-x��YK�ܶ��Wl�S^�ă);�r�إ��C�>lE9p��
F
rMr�\���~ |�pV*���/3 �l4��~�������+i�������UW6JEd��w �FB������c�q��I�UD�UT�[�)�t���2�H_2��fR�LJG�v�C&4���߫lTnB4=��~��ބ*��W�_<��ɂ�>nB���K��ŵ}٢�O<�}
dp��v�&WR�,&AB�#iu�D���m�n�lP6�b[�������9�t��fe�iP�P� R�q
-��E��M
yW!�m]��F޸Wq�myl.nP��Xe> M��ӎ7�/�7��D6���U��c:`W�,eK���
J��l���Y&HT$ڠry\�a�o��9x�MG8S�W�%
��Ɗ�T�M'6��[
Z"C
�p��D'1
-^=�U�r������{����;�K���yո��ٌ�j�_��]��:��@ʪ�����O�)���B���V
�Z�n\��
���۞g���X��c�
�u��b�������`
P��*���� ڣ�p4W�������'��
�a�8�+&%�A
G�ziY�A˦
��<�s{6S��Q�Vd�,#��a3�ԭ
����t\
�.�I0TU�+�H-�pl��͙��+4:q�s������n�X�s.�*�0���
�-���Ȭ
�=B������{�b$�c>�_�oG~%��:�p�%�ϧ|��l4�l�����J		
����r����ǁ�����q�
��Fk"���-�$��;�~��ǚՁ�_��X���&�� ��Y�=/����/SFFĩ^��� >�"
-�^�F�8��{�wrn4�~xB�9�z��pܚ̎��y<�?�ٳT���6"I|��w��
E��CK!�j�>���qdP:4���}��0��\l+$�_���
o��Vd���|F��+�BNב�̛�HG�|�Ch��y�
-7�E��r�?������4�
	bC�8���!��Q
�p���͑SX=B��l�_���Fj����5�
j�D?�"�(�=q�SZ at lY䇥�
��N]���(����Ec�C��*�
-�JˏGUQQ�"��aK����D�Xf�eC�cW
�6H%�:ÖRL�9y���C;
d
%�
ewX�* � Kg�w�8٭(��c�(*�
-+��f���YD�
-:��
+,�
�Sٻ�:��X�����t�	V�
^��a
-/<K����"��˗�zI��]^��A�$,Qeb�

�����а%�8��%+��&���
!r�L�Þ�8���ɤfV��/�o����͍˟�y
�bvw�;����'�ټla����8�j���x����%��S��
��#.?�C���_yP�Q��m���}N�H�mS.�j��AL��  �����OH-���B��~Y����u��i�
�T]����@�d���Q[�7�i���U��~�V� ���j
�0��
pυ��'=u��.4���!�y����xS�|R�����Xe��h���aϬ�X����s�e0.v�ȡ%�i,�qԀ�ʂR�HL�p���Υ5����g𭿦�+�d�9
�ە�m
��z٭�E�^/��0���á�����g�c����3}�e�%|`�� <�

��+<q1`��]��6ͫ|�����`�ܘ���a����ZA_�3�˨���2�Ӗ�˖
y�u�*�	N�V	
U漊}��c���P�ѵ�����	�^ �S�t��<�,�:,FT�xM%>��Wm�ʯ�hE�$ ��_�	��"��`'� H��r��%N.�{�c��TH��q wa`Y�Y��C��2sQ<-4���s�.
"H�cO��,0�R��������㢢�m�U����2X��	���V�%t���P��.H'!58��c"=K�h�3�$"�҅^\��z�X(�Q� ��z�6��2��'��+��
M_u�3�� �5�g�ƠF�©���Sf6�+�K���?Ķ
���4+?Rq�c��U�
�fF���� ��%�%�g�o ����,]�K�P@�t���m�K�Pv�=�:��x��*��J33�U&;s��9I�,�yZ-<!~�;Izv�^m�"��
&�dS�H��^ �F�q/"$["dmK	
�%
-�e���._���
NB��U��b̮��jȎ���J�nž=օ��
g�Ϻ�{G��h�yX��2S"���7u�1
�Z
�u R�SW
ԋ�c��1}�CB™�qN�<���;�M5��c���N�"�5V�
�/�,
SO�
� ss�}-��"���|��5`�Pe"MS�P�y����Q�endstream
 endobj
-2376 0 obj <<
-/Type /Page
-/Contents 2377 0 R
-/Resources 2375 0 R
-/MediaBox [0 0 612 792]
-/Parent 2383 0 R
-/Annots [ 2379 0 R ]
->> endobj
-2379 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [301.869 619.992 330.526 633.939]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.12) >>
->> endobj
-2378 0 obj <<
-/D [2376 0 R /XYZ 72 720 null]
->> endobj
-378 0 obj <<
-/D [2376 0 R /XYZ 72 720 null]
->> endobj
-2380 0 obj <<
-/D [2376 0 R /XYZ 72 582.805 null]
->> endobj
-2381 0 obj <<
-/D [2376 0 R /XYZ 72 515.067 null]
->> endobj
-2382 0 obj <<
-/D [2376 0 R /XYZ 72 398.892 null]
->> endobj
-2375 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F29 672 0 R /F26 548 0 R /F78 924 0 R /F51 1171 0 R /F48 554 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2386 0 obj <<
-/Length 2658      
-/Filter /FlateDecode
+2641 0 obj
+28627
+endobj
+2642 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
 >>
-stream
-xڭYI��J��_1"���6��Gpxv�0D�psP���½!u{~=���i�gl|�R�U���r՛�~�>��QE���o��B��.ӹ�
�$�ы��
���2��i�Y]&ipiLkÈ�U+�?-�ޥ�aa����j��k�.�Ά���y[�C[6��.w<�a�4��oe�
S5�Hsn�p;t<y>���TM����\��~ԩ��My�����Qk�j�3J�1���*��ni��x���k�.�R���οUjF�[�D�r	I�9Dž�K{ ���HB`5K o7% jvƉ�WK༽����5@�
�� �@�l� 3��O��
N�d�0h��d��J��'���}��5l������χ��ԟ��G��
+������xɄl	tt��@���/n��~85lb�V�"�[���p�	�vĥ��sn`_}�(�����"x�i��N`z�EF J3�S��W�6WiQD2Bkw�}#�����t�jW�9�zb>@���ٞ�p�<�,�, [...]
��y°|�)����-�"�f&��z
.%��~����w|�
�"Wޙ/I�i��گ��O��x)jz
�坆�@a�)���C�^_)�L�`=�	��V\��%�1��ytYH�2����g�o��>��q۰W���`x���x��T
ϳ��g�ffb,��1�h1l(�8E
�Χ���s����q12������-!t:V�l�lP��)�;����;E	��.��1��ө$	�oJ
[Q�-ƊBz�����S�Q�G��P��cUȳa?�M����:+�2��?M:4��9����0Ӓ.����J�enz�@����Os� /��_�R�r�D���T�i��v�{V�B�A} Gݜ�u*w}>A��m���fC
�eQR�wxv�u��$��[�Á	��R<#�=ˀ`����x} eO��pʨ:`𔭀��I�mHEP:sE����_��SHl�]��9�u<5��Y��6�˴@�$yϧ��y�Ĵ�N6����Y���2e\~��pˮf&�$��FG�X6�
-鍄�����s�$�\�X��ZH����7�Zj=X�*;�I٩�cɫ��m��Ԃ;�)GqíXR��.8SU�lGYSӝʛA.c�����[�+5ĸ�] ��H�pP;�q�1
�"X�� ������0����Н{���3�t<Z��
�Y�?�@��c��mP7p�6&�Z��蛳d�V5˰>T�ف��,�;��W_��3�ʰ{9��>/#�"U�
-�3q]����	���9���7���뭜?+��9?$k�[�8�a8'fi{�=r�f�w�I��j�D�?�V!�F6��c4�}��~)��W�n
 [H������C 
``��C�o� �
�F�w�#���e� ����[�:�@�C�	CNXh��'�<�
�hjE���^aw<��a������ 5�����\5�:���4u)T��#��&�6Ѱ ��y�t����F�b�
5
�0I�:���%��E8�XwY��M�Eh_K������+�A3���XCI��M��n#�d�
�dҶ�g`̲
���o��;�FY����U%��G�P[,@=`�Z�f����A>�5B	�O(��
�J�+�<:w�o��|V
I��}7����i76�
�_��e',�WwGp���"�w&a�?��2J�<u8�=5;���Q��}�:��RU�� �?���9xiЭd �N�0�����K�
�"%��|��\i�Rl�\��'qYLbs>�nGm�G���~UՌ�#%
�p)&њw��HD
�u�n6O<rj���R� Ӓ.b_��Pb�k�7?зW��	�{��4h�k�0۫~��9�B%�ǍA�����������$����:.���ٸf]�� ��ݪ=�V�
KR�B�>{������WUr�v2�
�uTE��a�i���ΈZ�8�]�b�Ŗ�M�_�7>˾�`�|�2�@��{.6���P��:���<ҡ�J�BCa^��>:���}i}CG�dm�FJ����'��DӉ�����M�\�]��t�ڱ��w�� �R�0����͡7��
��#�Y���>=]7]�8A%���jvh>��k%R��J
�
�F0�������3A
��
�3�
Ч�qs-
xɿ܂��:e�*���
�
�3����
ad�R҃���$������s
u̎dP0҈��%�)[�5�
�nj6pz]�LՔ�
�G���g��[�g҆�Ʈ����W�_��u���OR.
�~M$��I�l���ν���Y���y-�(��݋e�c��:���w�������LJ�ɲQ��Z��D���������`h$[���ʹ�elO��c�m��-��M��
΄t�[���$���
��i���
M{d���/��4�P2&�W6T(�c�&\�
��S^��60��q��w�?�A@*Aendstream
 endobj
-2385 0 obj <<
-/Type /Page
-/Contents 2386 0 R
-/Resources 2384 0 R
-/MediaBox [0 0 612 792]
-/Parent 2383 0 R
+2635 0 obj <<
+/D [2633 0 R /XYZ 72 720 null]
 >> endobj
-2387 0 obj <<
-/D [2385 0 R /XYZ 72 720 null]
+2636 0 obj <<
+/D [2633 0 R /XYZ 72 306.716 null]
 >> endobj
-2384 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R >>
+2632 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R /F126 638 0 R >>
+/XObject << /Im18 2626 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2390 0 obj <<
-/Length 2082      
+2645 0 obj <<
+/Length 2954      
 /Filter /FlateDecode
 >>
 stream
-x��XKo����W
8�����H�{�N ��
�
����+>�$G�t�oO}U�3���!rШ��]]]��W����շ�����<��.˳48K���"�m��\t+�iW��ܭ��1����צݘտ.��C�L�zg� p}������u��ΰ������c��|���+h��v���X�4z���*�*�~��yA��č(H�T�5���;v��i
c1V���?ȴm5��VW{�ں�u���r4=N�s��E	��߷m�^�謤0-۩-Rob��w�,��X�hhZ]���/���_0_�i
�r�n��lC�i���)ˮ72p+��_���
t|���n��� �Ư��z������8����ًs� wZ]���Ѧk�����E���=y�z��C�w3?���/3����id[���-�6��|�A
�
g4�8��#g�#�n�4}7	��K�{K���Գ>��i��sc\���}������\�Oy�g�Jz�׷1�M	��y�Pس%IJS�
��n���o���\�������p��p�f�q2 B��f
B���� �F+���}]Ko���A[�6T�x��=�Z6��!�#��hPL�B6�1���]�hF����kxQ;@�B�
��q�2���Vڷ}�z&�J\3lT
��ѳ��emG�UM1����=�6���]��Z!�̕'_�
0Qm���
�I�	�8s~0Ֆ�X+q	=[�b?�c�Qb��q������Q? Rq:��ܑ�
�a���lF��=�>&$���	��/��k�K�I��Z�� �
\�V>ɠ.� .L��(��w�8v�z/#���?–{dц��Coe�+;<N��t�����rV	��%�xZ��I�|+����E'�+y#�]/�f&�؎��&�����I�![I�W�	S�w�<��|�ڍ)Ziu�P�,DTS0����e at a4P�W]/c�
-U��Mql_ٜ���.��
^bm"���U�ΰ�hH6�a`��sfS
��s���=� ��j��h|�V96}��VR����5V8%e������紘���lKF+mMP�; �G
a��"/�Da����ȏ4Ig��I��ԏ�$gZBm�줆�N����������͒�&�7p�-���X��*p�a�����7v�
��9
�gKn%�6�����E�,�0pJ,�f�%<@j��$,��ɽ��XM�jp���(Ԃ���(Gk������r7Hb-.CV��R����.R�P��#{qI�^���m9.�fZ6�����)���9Zk�1�d�Cs��B�j?����� ,�H(���r2%���$��E�Р����N�?��Vo ��2)VR�
™�_x�
-]/�[�n�ų�x���/�K��

�
��e��r���
.��ߛ���>ݒa<�LNSb}��4�[0mI�|�L�5���v����f�d�o����������M�y.�o�
G��'Yɡ�(�
( �����Z�%w��e1
��Z(�Z����;�eMD�׏�ݛ�Ǎ$��-��Z^����Kg>ULQ�;�,{ r( ���ia
�
ַ�[0��lB�r%& ���P
f|��<Ɛn*�;�.�J�WD?�#�X�{���<4�P���8
T,�;�0�m�ƴ�������H�hYI��.:�㝭���R�Z�{���R4�f�g�
- o ���
� �C�^�w[z��)��5J�/r����y�H�m
���%%���	(P���
-EĨa�+��Y�:�wy�����S��)jM:��i���a2S
-d��L��)�G�%���Agе߳�PErŵ���z�w
X&�?�[��7��
���
�v�n@�k����*S��rk}s�Ց�]��+����M'�7[�
��
��f�<7�o��b�1ɛ�5
W�g7��(.����R�{*���:ޱ�����f]~�L�ܵe�)�/v������}�!n�ɔ�o���
������b�����ۛ����}���Ӻ
�ֺ
ֱ�8q�n�Y�S�o�x��f>#Dv���v¯6�!��IJ�g͊	 ����7Ma�`����2l
S��a�ƪ��ӂ�_��|��!�endstream
+x��[K�����W������k/�X����-')YjIJsZr�ȯw�<�`@�ڕ��
+$1�����=���w/��3F�R�͜QF�VsC-�~Z�Z�xs���3�Xſ+����-����_p�]�
��=�}��?�)�������4\{J�-��
w���ϸ]��o��
�ï�/A�o#���
��<�K��B
+ׯ#�c��h��G�֝�}�=�ޑ�F1��⾾�iN�
�DJ��.���2RZ�������{!xf
ˈ��r~Aa?M����oT�
+
I�qɾBB�MG�����w�r��]��@�5�қ��7q[�V�`��a�n
M�܇;G
+�o��.r��g���	z��&\��7�����-ct��Q�Z�F�7B;��Gn���3B{ok�9�86�0�j�
+�H]�Z�G.��! ����̈�Q/�
�B���{��Ѕ��=1�M����
*zZ����q���
+
&���
���1���Y��{�8�.Q�ӳCÝ"̘��^V�n�z�,! !��K2��
���)MLmnN��s����E�������”�e���V4��@�h�6:0��{�s&��UH(��<�Iի
��i����6C�Cnڧ*�z����Q��o���6�v$�"�eHҸ�h��P7=�)fS��.<q��C�s���X�Cڕ�w��J-N)�h&���f�2�ԉCj����>J�& �]��Y��RtQ��&6�K��n��պ�{����O����W1�9V�*�k�L�V��:�X�t���)������,���Kǒ�+����zPJ"Ж����o+�0CK��z�i}a�0
�V�^��K�L�r���lJK�+mS=4
1LÕ���A�xr�e*�x�<���EZ�xߙ�p1C+�9(N��b�)�7�{y={?{���W3:�iF�4v�>CT���3!OM��������j�&��
����:��H��e`��r��:�G�Ě���AםV)'��A.^1lMu�L`*�& >	,�X��6U��յ=Oen�38����"`[���:��̙�M��WR�%N�����|���!��ߨ���Ck[7c"6p�R�q�r�릚Q
� �N���0J�Dz��q [...]
+�
����l�%&�欷�^����FA�s�[�픨��֬H��-I.S�64�f����� �f��nġ)�)Ux�Np��Eu����XH��H�#$s*\Ϛ}�AÖ�cZ
���:��i��?

+����HL?�c�����\����C]U3fAk�1Y5�*���f3�̀R
�\%�i���r�H�ɈU�9q��&93e_ǝG�Z�f�	]T�����"'s�"m����!�/�`p�{t:��+W�}���&B��Ѣ��n
@�}
+�a��_t
rK�'�$(��BՐ�,��r^��o��D��)2��>R,J�$T�����~}��_]"0���3�����_n�7��	g�Qf�� `T�[�g5��<4h@���t�!���a�ND��V�V��
y�i�G
	vȧ
Q",����˳F�E��^4���4Ǟ-���`�-/:W�h at iF��|�1_���,U��c �!�Ρ�6��
�(ظ;8��m(��opa/�Y�b�ۜ����}�ܟ<'�V����2���)�^�&씦T�aS��.��~�]
J!)N㞓mʓ%$Sӟ��1)�6$���*�G��B�)A
ʆA���P�&T}™ſ�$��
��bF�(I	��Z}˙%�������?{}c�����
)$\
�'bBk:�ju����X��J
�h��չ��N8�@�ur�S��$P���W
�e�"���k�����ݧ�폻|�T٬�H�vɴ��X;�]��X�ZH�m�)�pri�I���^i����n3�]6�N�
���]��3@����*}#�n���$P����0}��c	Ǐ�p)�~��$i�$5E
nF1>v�����w�,�5.n����Cå������>a�]´�,j�
bWpNcN�߇9٘��
�V��aWѯ�� @yU�/0�.�D@�
7��z�*}8D�.��"`|�gy�O�;��n�5� �n�&���������ӞG��B `f��?
2� ��j�o�(@��u��C7<��c-���Fz%^+>��g�X��Eg���X��&z�۶�T��Jpӌ%⼡﬽_��YW�&X��!����t׎�u:���>�>�x�	�}�^�����&Ķ/$b{߳
���zo^ ��=
�L�#��|d
<�T���K���e��ǐ�C
��Nt���>�awr�0%k2ja�S�¶,!#� �σ������boR-s�7+&Y
+���T��k�„A	"��ljk
&�A�·<l�#�D��5�ɵB�Ud����
���g�_���i+�kCE��~`Q���84H+�kY �
J��rS=/A?+�`p�u�������3�9}X�K&�#`#i��WU ��U��@6E�|��WQ �<��!"l���a��v_3��#s
n?
�V*3����4�Ph��C��&k��Ɓ���4u�&���ڶ=I]Az9h�J
�2�ћ^$��Ɏ�?6�
�	��6�U�
���9TC�5�^��/�r����u��	c>=�n9)=���\������ė�R{}{�H��|�]6�BL�s9!����ɚ`�&RTH�|�y�A�FW
�b�����e�@,�
�[߷��*��ɡ!�ƻ�d�[�)�|��Z�q
�¤!�]��Mj�1
�SVVNk�VX4���mc�_el�����^
Jl�~ۭH#�$�:|�$�p�{%Ž\�
���̲"5�!BM=�����EN'̘#�]xn��l�kȟ��ҀO�6�k�i˻gg��ݵ�[�Y�
+�I'
�
��U6
{��T�0�m@�N��`hìM�1��"�? <���endstream
 endobj
-2389 0 obj <<
+2644 0 obj <<
 /Type /Page
-/Contents 2390 0 R
-/Resources 2388 0 R
+/Contents 2645 0 R
+/Resources 2643 0 R
 /MediaBox [0 0 612 792]
-/Parent 2383 0 R
->> endobj
-2391 0 obj <<
-/D [2389 0 R /XYZ 72 720 null]
->> endobj
-2392 0 obj <<
-/D [2389 0 R /XYZ 72 697.999 null]
+/Parent 2610 0 R
 >> endobj
-2393 0 obj <<
-/D [2389 0 R /XYZ 72 353.961 null]
+2646 0 obj <<
+/D [2644 0 R /XYZ 72 720 null]
 >> endobj
-2394 0 obj <<
-/D [2389 0 R /XYZ 72 358.222 null]
+2647 0 obj <<
+/D [2644 0 R /XYZ 72 416.897 null]
 >> endobj
-2388 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F79 926 0 R >>
+2643 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F35 663 0 R /F38 1435 0 R /F72 1166 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2397 0 obj <<
-/Length 2459      
+2650 0 obj <<
+/Length 2924      
 /Filter /FlateDecode
 >>
 stream
-x��ZI�ۺ��W�Nق�/~�.���ޫ$��\�8���Ж��H��O7���e��*'RH4z���>޾y�Y�c�)5���>3�*����՟67s��e�������?s=�Kgs�	��q��!�q�9��~�_øb3C��QM��9���S��2�8�g�9w7sn�����B���Ű��oVmnXuf,p����9��>N�
-�2{�<
-�{A�c��	������	ww���p��@Z��o [i9f	�i���
QN��{�]�0Ŋ��L��_Qw�b��(��y�����>�E��I�_�î���Ӥ
r3���ۇ��h�v�Vך��Ͳ���Q��lC�Eo���q�l.5%L�$�R����w�f	��X�9�߂˲�-�ͺ��e��
��ns�7��~q|7��v�
-�(q�ŝ��h���_ܩ�ѓ��
�xh���$m
�����[
-�������E%�(��ԏ�w~4�q�#,J�u�
�PE�eS�‹�^�����z-9�ᄫ��_(�GzPD��
� j ��ϩ�h
�(O��цh˾�����{Q�8��^3QJ���@���91z��,x:����$پ���E>�H�^�n�1��ɂ��I�O'9BG��B)-�w�ź6�
-7��mZ˚����a�J'�#�#a搼� M�X&�;0����E�a_���2GKIb�%��3� Ϝ;���̇~���U%( �2�{q�Ҧ���]{���st�8"���
!����M�3<4���p���A`*�0︪��Oh��9�?���u W�Smn
�M�t���
�F`���N�<�!���g2����h�^��\�M��Z1W}���z�
-��Uه�:
.[�=�ح��
��#���
k�\�Nw!��e���
�>�_R>Pf�K�1l���}�>Pa<����`":B@�;0�.�"��+�<�7�#���(�v/�ߐ��C���>K��cp��F	�Z4��i�����g4�e<��i@�'�#����ā�:T�-�qC?�Mpd�S���� ���h�x����?��f��/]�
�u8b���W}Eo�eܰ��)z�H�)�����a2�BEQ7�luR��&�o�٭V-���[2��>�VrKy=U�����VOB"�¹)���堮��� }���M�2mr@@��Å�Le�NS����)� f〛Tˑ���q���N��xw���55�̔����2�@%{�ÎhD�#�3a�=,����@��@�f�oX�da���6e`��\�"��F���N���/)`N�
-w�{���3gޘpk��!,Q&��Sjń���qE*���
��L+�}�z�fh at w^5ۭO,�א�/�ó�ۏ���Ŷ�Ƃ��������;�r�օ �a���ǻe����6�uJ�0
���m�v� �t�t�4q���I:nJ��q��N�:�d�?o���Z�hb��=p�p�\��(�A2Ii�P���
-��K_3_�쁣�O���|A�vD��-��TX(��V���������
i�b&}u!�.1UWZ���x����"��3��
-eT!�̥=k �+�&be)�^k��Q_Z�5��/vk���
-�<a>__G��צ�0��|��`��!�(���p�!��%>���_ G���
-����������ܹ*GuX
��4<h�Z�X%n[�lф�
�TV?���v�)�!Z\�m��z�
�M(�Q
m�yN6/�;_.f�b��X-�:�����[��&*ķ��O�����il��2��u侟6��epZU���
���̕���U&� ��$9�hnJ�'}%R<e�mrm_���vd
�&�:+�{��
���
z.�f1��9ғn�>�q 2@��#"[
^P�l�!�;<K�k%��!��o7�8'ſ��� ��2Ф|$�n�Z�2�
�	#��ӹ�?�|����M�Lz�|����'11z
���DDZ�>�q�
�?_�Խ&xܶ��W���F0>yDf�|����.=�Z
Ֆ>�O���Ģ�i���4
�)��7;d�^��,k���m�lj�
��g�+��ń�C�zFD
ʟ�|ސ�ұU���#���/>��?<n��p|0���6J�R\*EųN��1��t�m�[V�k��ʎ��O�K�0B�f�y?��Y�G��mjU����R �#'���
���u�]a1�M䡥F6�&�����N���H�ϠF�*4��D�i�*6 a3nz�w^P=4�
pUk1��
q�T�_���x.��]�iI�⵬e�\-��1;�24wx��/�:^���?ߋ8!B��a��ΑD�7�!�p5�`���n�����Ɣ���}�+
���:�Q��S~�OI�]��{�@�6�Fܦ_͢�ǒQH��W��u��q��;��)&&
��3�oM�8�v�5�X���
X�A�V�2��
��o>ݾ��&0mendstream
+x��ZYo�~��h,�����$����;@6�:�nf桧[�;�
�=�� ��"�)Q}�
H���u�(~�㫢��8�慴3!�-����Lp�dU�jn��h�r~y��E�u=_5�p��'bެ�/��慒��a�����7�aHfk��	U�4Sʸ�8W�Hv�
+δ4��f�j�l��
�e��3	��k��P�����nW
+��6ظ�����
�V���j�z���
��u=��*�jQ	�KM��.#�e������
+`����"�����I@SF��6�x�33iVv3�F3i&��3Y&L4�s�Δs�����9�׵���5���c?����D|W;z�t��Mi��u���
+i*���
^�I���F�'hb�D9�(K����8�e
+�f�^��!,j&�o
&��Mƭ��.h�
iT�[��e]�uzo�pt-��E��
~������G
��t��	ն�4��H�D&/��
ۡ�d[��(�[�{�:1�B�r�zst��{
��2,��;}X5^:7J*Q����,;��$�*�
�HmH��iC�W
Y�����w9˶%3j��Շ�
T����$�g���q�B
�4��B*V��H�sN���]�
wttu7 e��d�����P0  ��n�-ګSB����RɆ��׉^��Ne���dnʃ�
r4��P�2�]����
�-��(a0�1���������zA?yg-Z��V�;Y_dž
�(N#4g�b!��K�f��컋3�u|&fR��Q*���f�ڞ����k>[����g���\s&��m�`uZJ��9���O�XE��F����
�nJ�����Ǒ1�*I9��Mnݢ8� 6���v�$3F��E.>Cl"�6�If8�=� �e������@�@�����i�j$+��0�-�Xɳ���Q�V3�* � ^��-��� l�~$���*Sfe at s 4�<\����_�����?���1�G:�fNR��BeC�Y]3�tF�Д��Fh����B
�Vuu at U~����g�%
+b��f�t
(b����C���Y����&>��wܿ7sY��}���g#�Q�p�
+wiێ�=�xK�7��k�#�'MCń	���D-ʼnZL)���U
[%�T;0�	��^�(Cq�R���FU
+
U��[N�LCe�t�H����Hgb
dϖW�%9�Q0�)��` {�Fg2��!�y�Vx.b~�S!dxk��H+�OȦ?��!6�U�
��

���K�IBC
T�4ɇ��=�T	[{�|��6�9�
�X����+��M�Œ�o�i#�dž����a���@m��>u�Ň�
�$r(�}��(�iQ��5�.�9�
b\�5���&Y���(t�[��ô��]GY���9i�u�
�U����٢(ksl��Va�U��&J}�a�����GL��X��1E3]���OP4���f�_���ɒ
�,�C���YŸ�ff+��8�A���U�]�'���#��
tyUR�@<O)�a��\�$S	�4UP�qOUǠ	ΰ���2aOq
�B�]��
�>ą&���w	���x��ű�O(E����0�l����~�_ǔa�ҟ�8&t�k��,Xa�����
�����g
a��ހ�63-���I/�p�;E�%!^�ϱ�Ý��j�wW��ƫ;ڕm�d�}�Q/#�j��ζ.�VÅ�!m�œ���f �{��/�
��սK}�' ���/F���������(�jν��Q�RI'�c *�❵���|��]�E)����`�]~p����rQA��N�;u���;���x��߰dS���oi�u7�{��������io#r�=��ZG��
�f›���	���o�
+� ��YJ����}��d��5�h&��
K}��ʈ�o�v[J�d]Nnw#� ]��M�Fg.��N���K]o#Dgt���ŘܱZ�Z�h�0�f�lN��.�_�l�3��K�H�څ*���%��E�'�#���1����90������
+<Ap���9�8�ο�"�6-�໐l���a�b�q��T��
x-�
��k��Tβ�Ќ��V��� c���"O�.�e�1E�0`T�Ů`�_��yW���'H|
Fu77[�jB����]DJ��n�<�& W��D�PQ��4����AJ_w�mh"2Ml?d�x��#�� 2�J�����2��[����Y-uo�8MBd��T�w����e9ϲ�M��ҁ�����#p���Dn1���:��r	�Lf[R<D�12��HEt�芲,T��<�E5�
+ �0�H
7#�=����i3ʑ�����7��tK{ŕ����؉����Ly*�o;D2~�0�f
u�8S���<nᡊ�
m�9s�&F�Q��V3��~9p<
���/���z����©�L?/R� E/	����+ۅ:��2�}0��
���>��1B!�ƙ�?�p`��;(b��M}m���brioN�Þ��J����#���b����
R�%�u��{�
UCx�>�{��GUe�
5��nx�"t����
�kW�<	�5!����ė)r�Q�8��מ�`V����?��r��uGX�t�p&��_��ۈ�疊�8�.�u�sn���M�g5��*K�U�ix����������)v/v���0
�#�D��e^|
Q��2�%UN���q-���~�_��Y��
,2e�Jb�	E<����Χ�0�׶�Ѱ,B���ǭpH$�

7}��MB���f}l�-Km�g�$m��+�ҙ�s�'U�?�=�Զ�����JV.�X�����۫����T�HCߍ����{j��R
��x
1ͷ�N�ӓ3�M8��tB��ɱ˧�S�K�Խ@��q���8�O
	���>����W��ZRUkf�D4R����<�4&
K�,��m�G�
�+�~��[�Q��Ɵ�Jx��A� �;a�endstream
 endobj
-2396 0 obj <<
+2649 0 obj <<
 /Type /Page
-/Contents 2397 0 R
-/Resources 2395 0 R
+/Contents 2650 0 R
+/Resources 2648 0 R
 /MediaBox [0 0 612 792]
-/Parent 2383 0 R
+/Parent 2653 0 R
 >> endobj
-2398 0 obj <<
-/D [2396 0 R /XYZ 72 720 null]
+2651 0 obj <<
+/D [2649 0 R /XYZ 72 720 null]
 >> endobj
-2399 0 obj <<
-/D [2396 0 R /XYZ 72 700.324 null]
+2652 0 obj <<
+/D [2649 0 R /XYZ 72 442.816 null]
 >> endobj
-2395 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F52 1472 0 R /F48 554 0 R /F35 1440 0 R >>
+2648 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F149 920 0 R /F126 638 0 R /F38 1435 0 R /F69 550 0 R /F73 1467 0 R /F35 663 0 R /F53 1695 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2402 0 obj <<
-/Length 2069      
+2656 0 obj <<
+/Length 1733      
 /Filter /FlateDecode
 >>
 stream
-x��X[oܸ~ϯ0}� 
�H](-ڇ����d��] ��A
q<�5�@�8q
-���8�q��}�DR���w�s�W�/�}��3�U�eg��3k�l\�8�^����~\�h�eb��E�FUC{7,�q��oߘ|�:>[�4숋�7��:�p�ȻHw�MW��F��ѯ0_G�����naj��<y�
[�?V�������֭�
����8e�]�c�6�x��
�Mbqf�Fi�w��b��țEa��GUQ9��4�I9����wKL
y��|�m�=���;6��	��
��)`�Xf:���%6��CS�9t�1���o|
������y���Nx����ͣ�`���x+Ӷ�~
'P�O����`�>�����̭ɘm:�uT�$�ƍC�gScd9Yؒ�������H0����EC��ꦑ/���	<J ���PƔ �c�~-y���$2�f"�~�����U�f��E1�
��
4C=8��m��É�<��k ږ)ش�N0W�d�O�����=���[1)��b��
Fד�z
�����h���Kd����njAM�
--"S
�5��G���
X���xl\8�7��$�)��r�X�\f�af�\�����9�<U6-�̊�H�&��B��@�L���7#��m��}�~�� j�L>`�h����M��1�7��TQ�t at +1U��0>��ld����R]D���׳�q[�|;-O#t�6J2�b]�`U�� �	���M�����G.=�W�*΂�
���DL]�;c�w�č��y�&�NGѣ��b����*+��0X234:��C+pQ~��cͦ��bUA�/��Y���o�\�yX�Mr0
ҁ6�g�ƙ�:y
B
e儎� ΍�Î�:�ϸU_�F�m'��R�MZ�!��׌�ڨ��3D�K��@�(
������9j�a��Q8ϕ-����n=�)��İG�U�gK��4|�GVk)�����KV����2KL����
��7�֔
�B\��5��/Y�F��3<�����?MIY�&��q��G��"v�s{_MCZ�%d�����Nf�_�q��R�������9����A"]���:񴊄D(b���q��4��(Usq�*
j�*5���Dʰ��V���i��AO���tB�G�7.(`�������Ί�X��\�f��Q�_J�� �3�
��f��o����QPA�;��9d,`�)M=����ʡ��s4E��
�I���
�ϻM�V#���h��I��0��S�X�U�a
��\��$P�:d�]�FY�z�;�B��� 8V�v�_q��Zn@�ւC�	�	�}�Q�)l&T*8u�0�8r�w
a�
�D�V�
U��B�y��2I)M�]��ˍ̆	��Bh��,�v�D̵�zj~Ku��޷+)�������u(����
����
�g����?4��"q��Ce
�m- Ԙq赒
n洌���ǡc	���ӥ�u�x�G��|�b��䘙���&�Բ`ha��y�0v�u<0,X���8
8�\)���Fy�R��������e�y���J�*��0F̹�	ABJlH4��"��juԔ�itE��]w��զ"[�Itյ���
�(9����T�M�������?�խ�Ac�@�f�	�B��'藋� F����>:pխ#3�`��n)��C��k��q�
� 	@�/C�_��/�G��xn '~�"��4���
܍\��*������0������Fa�	X��q��
�Y	��/����7߸���MA9g���u�F���c��k��&F$�OT��;%.��r�
-��2|=j�Y'�T<���(�3�
�H/�ч�=���G]!��
�qe�B�j��a�d��(����$���*G�

��
�;�s1Ƿ��c�Rǰ��>!���ۡZ�X��_/�U]�+�%\�p�������(y�ϝ$;����{=�J�|�?=�z+)µXW�s�b�+{@�'�@.��!�击�(����S���?n���߲fP���[
�r�)�z]š
?����� ��$endstream
+x���rG��W�R9�V���k��@��P���9��
+o�%��������3;k�l'p�a���~M�{�>8|*Ms �h�=8�
ԍ��AUԢ0�1�3;S���:}~�Tŀ�V�� ��y��u.�%<��H�*���<�C����m!�b�
@u�(����O&�j#J�Y��A>��N���<Y���N�)���m"���wT�
Q)��M�}���![������Y�5
�l��}dF��@�-k���G���� ۮ	�ɍ��:���{��EF�)D!��cJ���R��"�Iˇ
��"�ώ&
(P����6�x����G�:���iT�؁�J��f���JJj!���0L)��.1r������rk����g�%ݚ�.�t��}x�#.Y#I��%���w��]����bg`���E8�w�Ky_�+�;�G|Ei��gR��ME�&U�����#�������0���|d��rI��ќ[Z磫|���A�М��o�{�������܇�
لBTS
m��"���6���-��/�_�e�V~Y�X��;��+�8S�F�Ӥ��`R���p����S
�Q�簉��yT�pGt�_l�E$�1XNq`Q�p�KE�2�Z��^	
	4e
�
A�l4Au	*Zh�
�|$�
+j���J@�L���"�(K�

2�l��l��i�
O0?[`�,G[ޒp�]Y[�4�]n�7r(vm�p���y�'7�}�lCnH�/�,���Py�W�8�TzP@�
+�Af2���5E�J��[�ﵶ�h_��V��D� j�M"�]&�
�W������W{
>�[O���
5"ܒ;Q��!�K9�1A��e�ol��2ꎺD�v>E�"�M���K�
+5�I�����̼�0�0�
D���;̌�ͬ�▲��
�F꽭q�m�q/zFI[���� M!kH9ZaW*
Z�w���oa7	Sд) ������q���v�"��A���ƥ��h�m�c�Qa�1j� ��1�ӌR2�ϣ��(q�a��~��<,E���k�1'}
�L�a
g�y�^ߐ��!nN|�ƱX���Y
�O�ץoͿ��,�߂�
O㋻*��XnH���(��&�D��p�^P�'7��k�r�4�aޗ�W�
N�s�
<+mXxo�Y	{����R3َ�����m�w�Y�D=�`�{h��A��\�J�"ECDޑ,�L�7��~�_g��[��h�
��X�q1�J���zT���~�{Ȇ1q��4^��%��B;��;2�ΎQ�ռk���ݎ��f�M6n���^��ަڊJ
#u���t^ע��Y�m�w�]��7F�B�ͣ,϶0���nP��-F�a��h́�αӨ��{;�{�k霾T��/b�Q�Ffτ/��93����#﬈�a�W����O�}�����ᧈ�R��I�*<v��-��9��HrPR��Ϻ��
{/G̑SN�L902eE���O���YF��̏�]��:��Iͣ
+r9�+Q
+W���/���ͬ㈔��1
+��}�8�KRr7�x�P�͞/wd��ܭ�3��z9�
���S
8��kզf#h��G*�w
�L��5/Kx�ƒ늍� ^3���<����~�u"�:5����>E�&d�T�[\�;��
-���s�(
	WZX8_�8v�R4j�S_ ����]L��+a�_�Y\�a}#*)���F.u\��N���G��/���G�q߻�}�L�W��R��BR����VJ���tm�ٜf�?�>�'_�endstream
 endobj
-2401 0 obj <<
+2655 0 obj <<
 /Type /Page
-/Contents 2402 0 R
-/Resources 2400 0 R
+/Contents 2656 0 R
+/Resources 2654 0 R
 /MediaBox [0 0 612 792]
-/Parent 2383 0 R
->> endobj
-2403 0 obj <<
-/D [2401 0 R /XYZ 72 720 null]
+/Parent 2653 0 R
 >> endobj
-2404 0 obj <<
-/D [2401 0 R /XYZ 72 697.999 null]
+2657 0 obj <<
+/D [2655 0 R /XYZ 72 720 null]
 >> endobj
-2405 0 obj <<
-/D [2401 0 R /XYZ 72 375.998 null]
+2658 0 obj <<
+/D [2655 0 R /XYZ 72 477.4 null]
 >> endobj
-2400 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F29 672 0 R /F76 747 0 R >>
+2654 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F35 663 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2408 0 obj <<
-/Length 2143      
+2661 0 obj <<
+/Length 2162      
 /Filter /FlateDecode
 >>
 stream
-xڕɎ�F��h�Dʹ*�bgf �c�	���9�EJ",QI�6�|{���]�t_�Z^�z�Ro._|�>N�t��vg��Ĝ%a�B
��@�����]�~��w�p
Gʦ�,$���6|:��V��
-��҅6�N�
~W�e����妁Yٶ�x�q5	������j�`�K
~��9���X��%q��{�F�L�t��  �ꢬS�'m�Ef�
/���B�Zf��g�8bg)�/M�Lʲv�d$���� �eKX*ܮy�L�+ܩ���"���sA8 @8
�����0�����9`���jW
-ʖ7s��O�������v"���5��[�eɆgKm��1�t��9ъһ�&Fj@�(g٪��F.x�Hu�kh��M�0)
E��*�y��w�y��.��*�y�I-y��&�.�]C��h��"��H+�Xb�ӝ���������������B�N
��A��
�тЌ*��/�
a���ᅳ���9��
�%|w��O�����K�-��.����`� u�|���L��}��vA6 :G����
��D���j/�@��	�^ng\܎ם�q4>=�����]��<�[v��EA�c��Y�Q₏�����|��`PƅdЀ
-�
l���ے!Z{]�M�;�p�1(�$*�
8.ޓΑ�
JhdkF��!<�G誯�4|;����P�;� ���
�LX9�A=� �#.�w��Fq՘����	�� �կ��tƱr1��caFǾ
�D�U:a����N�*<"�b ƌ�%N2�����C�~,���-�QΦr��k��O�y�$TI,��l|\{PB�I�^�
�>�ЙLeq�_�2Bg�rՕ��^bE���%U��Y
�Gr)�lt����	���ШHϼ�l�`������y�������JZ� >7`Sp�C��T�fr�SJ�J)y.�:d��
�_�jWV-O$n����áK��VP�"�cr,.Q
-�s )	�HH�
m�r��
-*$
-��HV��L��E ��l-�.Ek�
`/��\N!�@Ĭ(�6�.�$���
s�`M8���ޢ^���~�i����tۼ/侉񇫶l��2�>�#q<&�(ʦ,x~ũ��
%����U�5��m{����`U��ӂ�
U�#�����Fe�}9��X�7�-�u[��V���+OFZfZř�����bD���J{ts ��'�>��[6�C;%����d�b@:U��

ɽ�_^cɎ�^�����σ���tN
�����E�}��4;- 
�	�פ�d�t����Y���!�)��t���@L ��b�������!&m��)5�%d�I��)oN��Bq
 �7��S�tK1B�l�k�AjkZ����.��F�P_:�ә�(�N���GN�D�ܠp����'
FO�F����
$gi�h�P���rLO-;(�`�5M��R[!��Lj�V�8�w�
#��	�$�|舖B�4ZnʦM<e6�"O�� A����/�%juE=�G����(�(�2�g
�J?G=�íKz}����
_i���f��R[�0Դr�1������;��V�|��
©D4����';F>�A�he�l�ɨ��Tu�0(�ȇ~	+�0
-~�9��@@J)�XiT�C��٘PpB�=�ѪZ�J�W\�ѭ�M�9V�=1Fΐ�H���=X
-�%W�p:o=:� r����,��h*	��
�j�!]o8�(�0��B~��o�*�����A
�z�(o!Ϣ�;�O�P�8���1��
'.X7���
ä
Ҙl�'�fj��@�|�3�^�)�<G �SP�=�̪�E3�<|�I"M���QH0!��X)�V�ޅ�{!��Hˇy#�
�T�
6���iV��|�� �pV
��}_��}�s����b���/O�tV��1S�1�=n�({�f�F�#ճ$A����F��S
�l��
��p;y�[�� m{�:�m�2Q��k
-T|*ˑ���!J��͛�'�mZ�2�UWd���@i=��Wju�v-�k\�r��+���B�k:L��2d���6��Y���LFa2{�4�f��>C�ܠ%��

fnnyT�t��IC0�-#Z�SSӓ���][v�
y��T�M��䄈��J��<�}�q�`�2��(d�Ru� �w�/� <9�Yendstream
+xڥY[oܶ~ϯ0��='ˊ�bzR'�s���si��Y�����]�c;��;3
R�.%�郰53
��!���g_���
H+���O�:�e#Jo'?r&
����~=�Ы:�����>(���:�H�Q��z1�g�w@�.�C��\۲x�;�opr�_;?�C{��x�<kx��B����
��Fў�^np���j����՛+)�lH�k ���NZ
��i�L�C�8�p�5�}+w AJE۞�u��v$�ǮY�&c����~i�,4�(iܛ�K7�x�+fC��(sE�"�-�i�k\2��=�yxUŇ�M
�z��jo����	,��3��t���Ew��X"�/�4^���aLMFC�-��~5S
9FU��YU�;�
�v"	��
XBK!+MK��O��xO��&KL�����'ΐ5;p맿�ἧhY
T�6\���?O���/�H?�g?�)�ܿ^�:'Q"M���50G��No/
�
0C
+RNf
��{p�
��%C���[*�T�.�=j���<��ۿ��g:^^��NV�
`(%}X����m�pF�[Lf���'��	G�YS�t�{W�G74��!���v�sa.-�>����k�9cE)%��~Ä%P�]D�+�����6h{���#�5�q��K��x���(]�J�A���h
�%�9oW��*MU�" ���%ˬ��e�ܰ���/��f׵h���:[7���9/�ۡW�c)��U�Va�7@��%�=<�sK�‚�<�@�x{�
U��A�1���G�*'�
�êW�k�sTl��dø�Q-??�ad�t�f�I��eu�
���r*#)�t� � ��
Ӭ��h�l�T�/L��[��A���)
	F����#�Mѵ���
+�s�G����2ƺ��LA�z3��Gʢ�������$��L5�-{�����Uq
�F�lJ�L �{�1)�g�P��3�g$�D^���S��!�Q,�F�
4�� *:p���V�k��`���h`#5�@�1��9D�d56d�լS�b��H2gM^� $ �H�3-z�:��*n�%��at��t���t¨�ܲFSE%�*Z8]?�
�cm�ɧ!���74���x��A�s��P�z���hU|��v�NB
T�Z�G�P)Q����X;��u��L���y*1V�
����`��\M��:�����%5�(�?R�z�8>��:��
�jn�2ݎ'FХ"�g+"4[r2�Җ���i�h���
_Q��C��4ZU�
+$�WZ4�WM��,�r��U%t���\��-y�$�g
�8�߆V�ܣͨ1jhy!O�-�l��̆��-��m��X=a
ը�-t�7^4�6�m=f/���#�+/�
��ˠ��-s�Tq7l

a��-{��׎���L���$��8��
8��iS �q##�q����w
ė�{���i-��#:���6m�B��&u*�*��a
� �V���p
YGc��!���U]�������y]��+��\M憀�R�q�W�
0�
�,d_*��GЁ�Ё�;���у�r
+06���������qI�
�w��S���絕�1<�t��x��9E���=��IHױ�1n���Q�G�r�n�M���^��M��_�ɽ�YrM�7ȑ�ޢ�Aݸ����h�) �s��G��b�(I{;����'�'=��^�*���Γ�'۴V��Js۝�'
���J��O��B
�Cz�*@����� )֚x�ޗ	#]��]��z�k5��#�<��ԇ�c��k��{i�\zjS�Fr
�N�x$3�1����'��O��|�G��̘�	��vʞ�P1�������7�&V�!j�oK�c��m]8l��4������ B#M8En�����&
������2���S�}��X��R����P
1T��\�T��|j�
"�0:�c,C�#nR���I5��O�3�N����0
(
��7̻
6�o��1�.+!��3���b���ŋ͖u
���s]������
�Ƌ��i��l��Sb�����%Er��1�q9u1Gl��ƗI_��u���H��'�����K�z�_Q�,8��#@�����i(5��������$�&�x"J��� �2N�A�Q��M��p��ҺMv�^����kj���"�d�����g�1Sendstream
 endobj
-2407 0 obj <<
+2660 0 obj <<
 /Type /Page
-/Contents 2408 0 R
-/Resources 2406 0 R
+/Contents 2661 0 R
+/Resources 2659 0 R
 /MediaBox [0 0 612 792]
-/Parent 2383 0 R
-/Annots [ 2410 0 R 2413 0 R 2414 0 R 2415 0 R 2416 0 R 2417 0 R 2418 0 R 2419 0 R 2420 0 R 2421 0 R ]
+/Parent 2653 0 R
+/Annots [ 2665 0 R 2666 0 R 2667 0 R 2668 0 R 2669 0 R 2670 0 R 2671 0 R 2672 0 R 2673 0 R 2674 0 R 2675 0 R 2676 0 R 2677 0 R ]
 >> endobj
-2410 0 obj <<
+2665 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [403.514 642.076 432.171 654.695]
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [323.854 452.616 357.731 466.45]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.15) >>
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2413 0 obj <<
+2666 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [292.84 452.536 326.764 466.484]
+/Rect [366.034 452.616 391.41 466.45]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2414 0 obj <<
+2667 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [333.197 452.536 358.601 466.484]
+/Rect [403.417 452.616 437.234 466.45]
 /Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
+/A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-2415 0 obj <<
+2668 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 343.445 501.89 357.393]
+/Rect [445.537 452.616 470.913 466.45]
 /Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
+/A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-2416 0 obj <<
+2669 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [507.502 452.616 540.996 466.45]
+/Subtype /Link
+/A << /S /GoTo /D (cite.White80) >>
+>> endobj
+2670 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [104.812 438.17 130.188 452.004]
+/Subtype /Link
+/A << /S /GoTo /D (cite.White80) >>
+>> endobj
+2671 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 343.445 533.192 357.393]
+/Rect [455.338 326.588 501.9 340.422]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2417 0 obj <<
+2672 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 327.173 540.996 339.792]
+/Rect [507.837 326.588 533.214 340.422]
 /Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
+/A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2418 0 obj <<
+2673 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 312.063 175.918 326.011]
+/Rect [449.991 310.321 540.996 322.864]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2419 0 obj <<
+2674 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 312.063 207.784 326.011]
+/Rect [147.912 295.206 175.883 309.04]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2420 0 obj <<
+2675 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 200.98 273.869 214.927]
+/Rect [182.33 295.206 207.707 309.04]
 /Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
+/A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2421 0 obj <<
+2676 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 200.98 305.735 214.927]
+/Rect [239.774 184.123 273.651 197.957]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2409 0 obj <<
-/D [2407 0 R /XYZ 72 720 null]
->> endobj
-382 0 obj <<
-/D [2407 0 R /XYZ 72 720 null]
->> endobj
-2411 0 obj <<
-/D [2407 0 R /XYZ 72 604.176 null]
->> endobj
-2412 0 obj <<
-/D [2407 0 R /XYZ 72 521.943 null]
->> endobj
-2422 0 obj <<
-/D [2407 0 R /XYZ 72 163.744 null]
->> endobj
-2423 0 obj <<
-/D [2407 0 R /XYZ 72 168.726 null]
->> endobj
-2406 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2426 0 obj <<
-/Length 1166      
-/Filter /FlateDecode
->>
-stream
-xڽWKs�6��Wh<9PS�!���Lۙ6����Ĺ�遖 �S��I�V}�o�~��DZ����^$`���~X�x{��:
���$�.*P~8N�`�1��z���3����(
-��f�����w��#�Z��a�xY��������3��B,@\�$z&��IY�[7
�9��7��n߿��
C��(L�(e
��{O>qW-�QB�vdO4ъ
*�I� >kv��O�	�L����s"�3��+2+So
s+�߉�KP�7�_^��d
��3-<-w6�e
-��7�q<�:׀{�F��?�;�ӏQ
�r�
�'m���gj�-�c���M�ef*1�ݏ=�(��
-'�X���
-�k
ֶ0�.�~彐�i/�ۓyn��=��b����lˮ�t߲�82��]Y#
Y�t8�������ZXl(�=#\n�;߅z�ͩP�]k���,��t(P�k����|�6[��^�"d�矗as�
�
��|ְ��'Ri2�B�G�4�d
v����&��K�"
Oa��	:�*��pz va�Jް���w�*Y�X
-����^x���\L���
*�ƳI�~�"=
-���3q���P&�JX��t=Ӷ>
}~A�Sco�aW��
-י�Հj�3I̞��
M0�`ۭoTE�خ��+�����-��s(��p	�Ղ�ta�͌wp������vn#1��Bs�\�^����=ز�C���6��E)��n�p��<+y� r�kT��'� �/��TT��ڌDH������f�a�T��qf.xW
�Z����Wϥ8ǀ
�]/X���~�X��dz���z+��\�þU=�vQ������Cc�w��!�z�,4~��Q�]
<~�
�M�����!ў �n���x�1�h9ae7%Z:�(��,��R
�#�ߐ�������	Q( �:ֵ3���6����_�Z
-l=X}]1"�u!��"$t� ��RD*١�g	�q��$������[tv"?IJ�tJ�qύE�~tR޸����M�qÅ�
m���w	ܽ5D�E;*?�$p�����94��
����Z.�C��t�p�T���T��%��pI�9h��I8
D�~L���+�c�%�ޣ�\������e��r�@s�+�> O��0<�m�҄�cRF~:�QC�ta
-�w�.��yendstream
-endobj
-2425 0 obj <<
-/Type /Page
-/Contents 2426 0 R
-/Resources 2424 0 R
-/MediaBox [0 0 612 792]
-/Parent 2429 0 R
->> endobj
-2427 0 obj <<
-/D [2425 0 R /XYZ 72 720 null]
->> endobj
-2428 0 obj <<
-/D [2425 0 R /XYZ 72 505.139 null]
->> endobj
-1326 0 obj <<
-/D [2425 0 R /XYZ 72 319.336 null]
->> endobj
-2424 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2432 0 obj <<
-/Length 2579      
-/Filter /FlateDecode
->>
-stream
-x��ZK����ϯ�!	Y���M{1�v� ��A����#Q3�%J&)�̿OU?��Z��x�C."�lVW��j���y�^�	c$Sjr��>1�*�i�a���l.�tY�g�ny���\:�sN|�S�V�aN6��L�T��o?A��!��ך��M�
.�M)�����s�fsn�p�Դ}7we���x/��
̱ӢZ�
&�~������M��n
>\mk���F���d9��-�UjkJ���R|[
	��2��F��q�h��-�އ���_�&^)���2b`�9�DJ�r��zʀ�l;`���
���#g4�?���n�?Ok8�KB5S�v;St�xțv
|��l7;w���M�É6J��G-}u"������9�	J,le��/�
*L�!#�)'���T$��Y��]g0�v�^���	
�Ƣ����S���	���'��&Z�e�}������F9X6��b���ޤ��{C��1�� !˜a�j`�ZۑD8�e`�0Cf [...]
X43���H���n(K��7揔���.��bH�,F~�^ڎ�$
-�!I&�cǵ�`��3���;�N�x��k
ڄ+��ygE]$�#�̼Z<���`b�����i'|��qf�l��߸4C
���Q�G�\���s�����T����mJ��0 0����ii2J(#qbQ�dҀcRk{Ӿ����*�0P%x��(	!D���|���N�7t��
%���< �ln
��q}��:R�@k> ��ψӸ����d`
-tʧ���iכ�(nHj5��d�,
S�R�TI����
&�h��>�Ű2�E�8�s���ۤ�!�(Jq��3��ݍٖ#��,Wd����A#��S�n-�5:�">:f�Ro<O�Ӧ	�@��r`�~��;,V;����r0\@c�%@EɌ(���,\�
ʫe�3!��>�&��p��_�K��("�#ɕ���Gܰ�^���
-��M����
�dnnJ}Z�m�W3($����8a�W���n��TEӞ������h
�1�t,P��{��n�s�ꆎh�Y���_��H� f;%�)A�i����{H�y��ȕ)<��R����ދ�=m���TsϮ�q3��)7��뮜a�ƿ
-��/:»�X��lv��nI�P�J<f���50����%�M�/
Jz�X��K�
&Z���1 ~J�&#B�^2�@�A�
���X��&1,T}��f(}��}�X�j� M:�Cu)'��X�
��ԎS`�$��
-��
h/�@��
ȯˁ�r��
��d� I(렯	��}�#h���,G�z
X�{��Rܠt8���湪��Be�
|	�x�[�ս\�M[�w��|N�T
-5vD��eq*�aL��q��E
>6A�R�:lF�����&���w�IJ�Qw��A�(N���ݾ�e�^��:|
�Qb�|,��)�*DI����Q.-���݆k��`4}��������>N�Ug��Iv]غ�@Mwe�����m��n�h��( `V��uښ�"���^��W��	y\��o��
$�2l`���׆��D�$�"(4o��@�e��Z� ���1
�z�>��0��3Y�7,�K�D؆�U��.����:G1�%x��ɓ��+�iv�@�a�%���Gu�?�A���B)6�+oS>& ��ަ"��]�.����� ���	�2�����t]_�Z�?��[����wek#��N
�/���_�Y���a�
h��7m���9
�J��[~F0g�ղ
0�ek
�'�n���0b��
�r��7���ާr
w�	���O|��1�;��V��K���t�o����c� 1DK�f���d��
(cns�I2�l_�|�օ#���
c���:wv~+�`��q��N4���ȴ���r�;��7�ݾ@l>��j
��Cs�K
-"�)�
!%0~�2�+�i
�{�G's������sbm�2)Cƃ&� ,
ʿ�hiI87G(m�a�b�8���`ws
^�
���:>;�DQ�*l\�
�D�=n@��o���A���Ӆ}�Flg��<�.�@�Y�w�Jt}c�{��S�S-��m_R�
NR�™�/8���<�����a��'�����
�� E~JI<����Tu���ӭ ��󇱀��q�
.���u�>�>���5մu�v��jm������U��C���
�J Y�� �|x׾S�~������6<�g7j/o;,#M
-��YHL�:r^-=��]ʩ��зV at I�k�?�� 
��q�\9�
x���޻��~א��X>��
~���8���]Y�9
��l4~<�Ä�>�`?�C�\����A[�#�c����\�����#!�1!�{���Bĩ�����ւ����*_���íI
'��t�=�#�C*l�X��kˇ�� o��R��m���N�O�#%O�F=�{� �
��J0�e�
��.�E�4����<>��W����?�Bj��
G��i
�~n�g�^�o�]�(vm|�>��@�h3td�%��E�
%���l���b����T��`��^c�/9$��n
���j6��g�Nq���Zzendstream
-endobj
-2431 0 obj <<
-/Type /Page
-/Contents 2432 0 R
-/Resources 2430 0 R
-/MediaBox [0 0 612 792]
-/Parent 2429 0 R
->> endobj
-2433 0 obj <<
-/D [2431 0 R /XYZ 72 720 null]
->> endobj
-2434 0 obj <<
-/D [2431 0 R /XYZ 72 700.324 null]
->> endobj
-2435 0 obj <<
-/D [2431 0 R /XYZ 72 460.714 null]
->> endobj
-2430 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F52 1472 0 R /F48 554 0 R /F54 1447 0 R /F70 642 0 R /F79 926 0 R /F35 1440 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2438 0 obj <<
-/Length 2903      
-/Filter /FlateDecode
->>
-stream
-x��ZY���~�_10���H6���"@�'����w��K�3\��C��SG�C��Ȼ�8/;dw�����z�~{���̭�y���^�\.�t�I'�����;���Ƿ�|�Z�����d%i͛�:6��6�~[��ZE;�qLE�m��6�XE=�W�_�kֱN�m�3u�G]�ߔ<]�����:�ʶ����m
/�
lڗ[>�oˢߕ{\��P�N*C
7~�L<#��1b�\Hg='ً5�
�ڤ"Wʯ�
Su���~[��<OV���ڔV2[�.
-kwD�
�D��kܡny]��f
-���*։�F�^
-g.���� FVZk��l��FH��6���/~�Q��r�ͅ4|���W�
��j�_��/�:���ųݾF+1�L
�#�	��W�V��32-R���P	�Ҟ���8:�i�⯬����9�%�Jy
�s�3€��.c鞜l�F�����p�
-4��[i+r��(:b.N�L�;����X�Dҋ��8yy��`9~v�@��v@[hiB&Y�*9�?�{X1Jk�
(�)�ҙP2��)m�d5���	�)�R�H�.�C�V�5�[�fE��#փ�;�#��WM�,R�,=7؄�e�[驲ja�B'hVF�2el��X���d���Wiə���-
�v0�&@V.���m���c>'
A'�NwS�e`Gc��eԝ���y��\���� ��9��q�e��d�>�+���u���܌Sw�$�����uɻl1��}���E
�a?=JA0}F�:7��sM <
րF�ͽ���H�~��A^�T�65')ȇ�"I}���S��<��`�����Fr�|�VG�-&���8s:���x
�pUE��E�]�C�u���Nj�/���o��a�)�
�������r�-wv�3h�4`Ġ�a�Y�����c�93 �Yi��;�5xQ�j��M?���`C�O@��v�z��B����1~� ت|��U�
N��,$h��h{
/A��߉��'��i*
��s]� �@r�Y���?	����%��v�l����@d����q�𱿡H�S]O�����u��?���������Mqx��\pQ��=���|��~���&���J�
���"�!���q
-^�f
�(��"��;����Cu�@��A�5��
�'��L��E���
=��pi�,X<񯲮��q��vchƅ
-Z$pI
�]y5��\���S	�[��T�Cra`��s;�~���{��V���S��NM)0�����%Z�͢
-��S��p��*���A��&��$�#��6�P�3
-��G
��:N]Jt��Ov�F���%���
�Ys�%g��a9�$a��P�δ�L�)$
ٝo|eF�-�=������}:M!�;w�+h$Χ*|�5-ƺ���΀��T��)���ǩ��^X؝�8�4�Pj��ҧ;�$ٔ��[(C��@�i�z�PE�A�៑m�Pۙhsu�L�-8�x �Dy��"���}�/3(k�<�
-ԫǚL�49RO�q��T焚-Ъ�(���J�����dgdz at rR����U1�=��zȮ �
-c���
&Ko���&@<x� �tt(�

������pΘ�	��^)(ڎ��e�w��I���1	u<R�ˉ�P����z}�;,�}-�N.�򥺖�,I �4�
}�oڑ��|l]u�}��K49 �A���)h�U�#u�i���X{� �mvǼ�u�H�&U�x�
3�������f�
-��������F�yZ�'��
>�u�A_��Jz�Q��|��<rx
("ϸ#��#k�L���wh�@�H�ۢ�ؗ�Ю�8V�
]��2����,�)�s4d
�
-0�.�Z�b,�"�X�z�-Ei��v�S��I�+[��)΢{R�{.s��	�wմ--&<|�7��<�~���[J�\��K��^^o��k�����
A	� m�<	]R ��h�wD�@r
�CV������(��/=E������B!�q�
�Ij;��p
P#��f_N�֋`sA��ک�eT�LJ�/�k,3��:(�AU�^O�?��}I��w�Q8���M(	5�3OWE�ə	���y�%	��yP0c��lH6��I�<�,H
!杰Iz�=�6��=���tI�{l{(��|?AHv6
�S[A��.����w�������6�����C��>�A�H�\3~�D�_W7
�'��r��T�Q�m=tcy�ɒ��70a�׹��$fl�(�ȥ�jD
���5 ��9��ń!�>}HE��C�h&�L�1�����ے�|J�[F��1d�d�E�w�,!9
>�̘�=B�:Ď53?Y�ɠ���'��-�e��c#!�j/|f�׵�ި�:(Hg��ϔ 9H�
�H�;�J5T��j?��m�^ 
=�a�A֩�3��
�� ����&
x�������hb�:�o�h�g�nS��x�=�5�!/�
��犮�
�7UA�
�t=WgE��e��
�3t�]��LnB
�
D�^+�~8�����h���c�{O��fs�f���܌4x�i����m(�hQ���P��	=����k�\(�
n�th
~Z�q\�|<����
�1-Cv���G�~��y& �M9�!
s����,��_�LL��O��Q��J�;�2ϭ��Gjl;�Bh`G7/�+�rKM
���i�";�~:[`gS���b���#urhZ�
�~�C�ʇ������3�qFO��C�^K	]�9(t}��y��!m��&�1_.������q7�
Ծ�R��ޖ�K�b�����\sh�.,Ue���Nlu�N���a��.�ԯ��ˮl�@�jrQ�\�!C����T���rBm�TH�>��=ٛ�i&u�`�����O�d鑖����K�ߘ
{��Dr�
�fj4p9�����;�endstream
-endobj
-2437 0 obj <<
-/Type /Page
-/Contents 2438 0 R
-/Resources 2436 0 R
-/MediaBox [0 0 612 792]
-/Parent 2429 0 R
->> endobj
-2439 0 obj <<
-/D [2437 0 R /XYZ 72 720 null]
->> endobj
-2440 0 obj <<
-/D [2437 0 R /XYZ 72 522.03 null]
->> endobj
-2436 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2443 0 obj <<
-/Length 1907      
-/Filter /FlateDecode
->>
-stream
-x��X[��6}ϯX|(
-	XsEJ�%}ڤ�%m� �h�6߃֢��ʒ+ɛM��;7�v*�ڦ/E)rΙ3C?�~t�U��i�
-kϮW�JT��eQ��z�_������_|�E�fF�,?����Z,�c�8J�ⳙ%R��
�{
7�
��$���v�"6Y0ԛ
��
u0�
-{� u� =�pa��-��m�ݠ�M��c�^e��<,���g�o"�����M����ww��c�qM������+
?�`�``��P��>���aۻ�^��F�&��h�|8�
zn��.�����@�"� DZ����F*���U�@�Z
i2BjtZS��Е��]���u�֓��
��<`6<`8����!��x
pf�2��/Q\R:�i�aW3>42�@u��)�ʶ�Y���
��g����ֹ�i�i���شi�G�0�8
-�P��;i�c�q�Ű��*�)9��F|􃫾�̅i��(3Au�D���#��{�&�J!�}Zl�Y�B�ͥ�8U�6
-<��(?�q)C@�
]�H�ʌ���ޕ�Ƶ!�0tIT�Z,G6bv��gXTP'��<�g
kA�#ؖ][��6
�es�+����MG��\3�G{��h6E� �T��3mr��d�O���2xh-
�f�
N����!�
/�4��
2���e#
��Z錋ǧ�`s5��k�����aƩ��Z���5W&h:tU=��j�.e��Q�ܢ�z���7G���F� d�%����׭t�`�;��n�gm���ϟ���-o'G������.[^�K��
-�m�w8�<�> �e��A��e=:_��R�) ��X��V2�2���rQN��&Ѷ%զ���
�j���gNG�w�Wj��}�
���X~	�H�Md#�Q?��D�!�&6*�
	�]h#�|��%�.�ۦvԍ
Qp5Bf�z9���z\�Ȝ�g���_�\��<W�-�
{���­_�
�3}C!x��M0��7��!Z�x���J��g��{�`�r�P
-g�R�v��{�^9����*Jc9
�@߆��� )��3~�����k"=����ڼ;�>�=7��v�!��-%�fb��[e at .ى�a�}�kH"o��6�/Üim�$4~p
�,�์^�w�
X#/h�:�%�N��^ݿv-��RM���@��|_��Z���L�m��JǙ��=i;m'��3~re�NH���3_t-*�-e��dҶ
�4�v�&� �
-��ay�� �A�����)E�?��7eӈ�i���#�Ց�#��0L$�" ��I���q�ހ������
���6	5-��C�S� �^� I����^���<�/
�L�V7�
�H:S���W^a�
%��DFzRFT�(��b�F�ɳ%A�m���e�)Un�����cS1�&�<��
y��S>�֠�O�ɘ~�C/�
b�а�>�3�׆
-����7=(ES����\- at ht+~N�M�#�W�j|
�M7?6Qq
+�־�
6�3�a�(�]��PFEۊv_
-n�P�ޡ�߸ò!�WY`doG�b�tR�/�dV�ďS"���H� ����
)ƴ͠�1G��8�����kܳ��k�D����,)iL���k"��v��hc���x��Q�<Os���Ò	]\@�W;
z�"���Q?I�%R� UT�4����1�~��K%���F]"�vʓ"�
Qf�����-�2
�r�%�)
-U>@ �`C刐�����
�2Kd��


}`
-�]���J<q����k���_�
Xg{�4���l�	&��1�X+}�P�2��/.�;.kԺ���+�����Ey3��[Fj!�?�a�
j�ol����]7��B����MYK�iI�����X��Ǧ��%2�G`wbPU����5�-�J���9Hk�?��
�HCv/��A�Keˣg׏~mͦ endstream
-endobj
-2442 0 obj <<
-/Type /Page
-/Contents 2443 0 R
-/Resources 2441 0 R
-/MediaBox [0 0 612 792]
-/Parent 2429 0 R
->> endobj
-2444 0 obj <<
-/D [2442 0 R /XYZ 72 720 null]
->> endobj
-2445 0 obj <<
-/D [2442 0 R /XYZ 72 514.23 null]
->> endobj
-2441 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2448 0 obj <<
-/Length 2382      
-/Filter /FlateDecode
->>
-stream
-xڭYY���~ׯX0�Av�ݼi$$Cdxc�Z	"?�9��򘐜=�ߞ���,�Zz�Q]]U���=o._��.N�L�|�]���,ѩ�!��{��O��6^���Dψ�@�����j�꺄�A]��}����e�=�D�a,�~�l#��7�b�q�^���G^��l�$�~
����x�w������iA��~|f��"�qkb�2?=����S�MX?d��B��8��L�l��+v8S~�&D"�����
x �
��?G��
Y�k��h�p�ew�(�lWZ���
-a������솹0��/v'�
����K�= �
�ޚ�쎺*�X��۠ͷA�4���3�
2��c_6���]A��69�R��=�e�[�]C���{J"W�p��uK�
7����C��&�=eξ�e�<��AU�n�WQ�`f�(��+���*j15�Y��9���,I��;�H 
-
̇j��$�&�*NA
�,���̩}_��]M�}R�������A3�>��T(	���������_��s�F~y�&恿���x�w�+KsK�/�Տ9��a��<|N�~Cp������#�ˬ����cY�b��j���(�P���vϞ��<'+q��lI
/��q�W��d��	N���վ�����{���<c;<�c�� I�^�LA�ٔ9�LA�F���
�A���%
|P��I���ą�� �Q�f�?�F� Z��$4_������� �Uf�)��A�5��{�Q�c	)*�wpj��!��'.�
?_�,��1��#0r�;1ԕ����K��;�_y�3)�%/��X!Ó����5�S#LԊ�a�b��� Յ�Ŧ�ww+V�C�������BE�"[/��n�ձkJ�g3�h ���(��cL��n>��S
��.��L�2�3R�>���Mp
Fo7�`�
ϋO�
�4��oM��3�
����U��WY�L�Dȶ@G�Z���w�wm=I��o�?�t��vLj`7�(���vT��
�(�.	'0=�(# ��K#���6UQ�92Bk?0��	���we_r%Cs0��z�	�Oe;�p�:�,�,Y�7���pa).�X9t�:��_�`
M�G����'Dp�:����. ݐ�B(~�K�
��B�eN��n�V��~g++� �vj�:&�
��$8�5]�9�ʪe3ՀF�+�oW��U�p�!
���]��A����F�T�B@��\
�&ƚ�n�J��+�R��fwe��b�� p�m�
'夰{ [:)
驼?V9w'���\~ё=�IN1Z��,�Ě���v�a��N��
�E9�B�
\p��1��pm�lf�5������P�{��
-���Dw=��C�J&É�w�)f�V�z����;�V�+Ėi�H<'v7�)�ţ����6�B�G��BŖ̔�
PG6���ҥ��U{]hxIb�$	�ꛆ�;��;���~-����q8+
4�CI�~
b�~�G
�4r��k`���y�V�i�8�V���zV���/n��R<���8P0��[9 ����3��0
�^�#��A��=�/{��d���[�D����H�;�����{<d�Ku_�A���@;g"&�P��
v�]���Ŏ���F�A�jD~���
�����ʝ4S�q(����
+|���)�(�h[y8�%�{�g�a[E�Y�	>����%=_����*�H�owhWxh�L�z��v.f��>�?�l� )-��]~���^�opx�iI��:?H����E����+
:W���z�1;�T�R �3�S�;�8|_b��
�Tg[�o~<��xC�MF�D_��_�d����Y�CY[�PZ;O����������,c#���hƁ�c
�ga�`�/�Y=;����)��
���x����y
-���ں�
c%q�sV;����=Qَ
�\�|�4%a�����o��v,Qݶ�M���<����Ǔ@[��\Q� 

��t���VZ:~���/
2�i�{���hf�E�ξ����Y����)FAI4�̀=3p�uˎƢ\�h��%:M낸�M˒r|�@J�-E�T�b�e�ɕ��x_V��*���[WhՅ�DžyX�7��:Y�c
��O��)GME��Ɓ��K�'�L�0����}������R�
y<=^�f����n;���+���Go��+G��5���.�'�p~C�
���% X�T�
����m��`
�8|-3�
>�����2��hh
�(	f�q�T�?�@��P��O$��2���NW��E���7��%O�{(40��7⃺3|����	��Q$Q��mk���jT6?y�snXև��{tbr^0Y�Ǽ��4M���.������
��endstream
-endobj
-2447 0 obj <<
-/Type /Page
-/Contents 2448 0 R
-/Resources 2446 0 R
-/MediaBox [0 0 612 792]
-/Parent 2429 0 R
-/Annots [ 2450 0 R ]
->> endobj
-2450 0 obj <<
+2677 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [217.719 649.548 246.375 662.167]
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [280.099 184.123 305.475 197.957]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.14) >>
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2449 0 obj <<
-/D [2447 0 R /XYZ 72 720 null]
+2662 0 obj <<
+/D [2660 0 R /XYZ 72 720 null]
 >> endobj
 386 0 obj <<
-/D [2447 0 R /XYZ 72 720 null]
+/D [2660 0 R /XYZ 72 720 null]
 >> endobj
-2451 0 obj <<
-/D [2447 0 R /XYZ 72 612.148 null]
+2663 0 obj <<
+/D [2660 0 R /XYZ 72 604.229 null]
 >> endobj
-2452 0 obj <<
-/D [2447 0 R /XYZ 72 530.414 null]
+2664 0 obj <<
+/D [2660 0 R /XYZ 72 522.028 null]
 >> endobj
-2446 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+2678 0 obj <<
+/D [2660 0 R /XYZ 72 146.925 null]
+>> endobj
+2679 0 obj <<
+/D [2660 0 R /XYZ 72 151.906 null]
+>> endobj
+2659 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2455 0 obj <<
-/Length 1978      
+2683 0 obj <<
+/Length 668       
 /Filter /FlateDecode
 >>
 stream
-x��XKo�6��WEZ�ˈ��G�H
� ��A�6=�+�W�
����>�w
䮴�&F���#r8���ŷW/^�Sə�"���j}��B��,
3�@)~3��
��f��Tl��-�b��`Ǔ��np��B
{��ͦ���-����ջ4

)-�P��t�����~>�:�;�T�3��.v�k,��l"���,v�֝;��ld��vMӦ*��
-f��#FK�K����2
-E*��H��H���ƴ+3#J<����~tj���n�m]�8> �����æ�����
�
���v
�����O���X at X�߰�����j�<��� ��񲲲N��-|�,%�7����{�X�qB��m[��
r��7f�ƉQ�M�H&F�ޠ�OX2T��rۮP>s��[�9
�@v�>�`ߠ�3�өHU�N�(���a�\Q"r)ݎs8/μO(�
��n����ܮ��dP
���&K>8�fRdRO�
��-3�%� \Vh���f��j�#盃��}����
-� 4#8-�S>)��F���U�?�=�D�d?<"��r�Q>��X�,r�^��CH!����3��
.��"O���p�<
�H�Q�HXx g�%52
���vv@���4�5iy�๴�s[�<ېyj(-,��e+�
�E�M����8����$�wh����@o�)0�7w�c���L���xő�2�%�����L��qI�q�P���{f��,,��
-��)�zW�ȴ1:�
�bF-�g��rDU"P��9�<c0�:
~2U���.�>Z�
~]d�Xj�\�v�U$}
-e�[��N���A�v(�ؑ�
�Q�M���{����h�x�Gb?MH@�`�"_��磭�tP�]K<vL%�"j�=pq��E=E�
� ���B련�L�c
�� [��F�.]2��+O
�F�t������|VQY, P<
�'p
2�9��P���}9o$�u<QIGz��4Iu�H�~JNdW�.y��P��;�1Eˣ�*
f��-j&8Y���뙶�,�*f�*�k��qb윉�J$-���CE"��n��Ue؈T�sfUY@�9Γ��vK5 }=��Gd
��Z96|��vA9rA��ʊ�A�c{�Su|=,�g�E
-�kBk�u�@�q�@�="	���E	!#��U\�e�t��,8J
��Ir�
ju���'�+P%
-�.C1&"K&&eޔ
������C�_���/6��}�	�u�20cM%�����
H�k
x<r&���cW"V>����
R�K�#��w�#װ$&U5�ܻ�(r���q$
��	�͓&���r�=).^s���ŕ.\�@��}QI���-����\8�ʹ�p�
�0(�?���6q0���}s��:4��
.��h�[�LG�&}kY at b����H_\4����)�#FTn����'�J*BM���
*a�%�6�B��6�M�
-[�,i�
6_�/Sj���6��]>�\ͽ��bBЌ�f��qoAa�䗚�q
w>s\.�<�=�D6~�aK
�k���8�EOs���1��q�|�싉g�h0�r�‚���
9��!Q�ξ����o �����g�ic����CB�gy�ևo��
%`V
�ac��}�
-\�+W�qL�[���
�>�
-k��3��טD(�Q�6���J���ߥȓ�𜸬��� �/@"�z�Y
	��$o(Xr��Ŷ�DE	 ̴��U�ճ;e�$I*�iw�*UB�xr'�
�H
<������4���JW'k���xUO�3<���
"~�⊔�8��Sij�}�� �:J������h��9�ƕ-���:�4�C;����{�"^�3��l�����'0�ܟ;R��?��>�[���%�*߾z<�_��ٰw���1��Q��2�D3u�Ѓ��+��
^3Ge�;
YBɿt�
��+����]zx�|;\�^��+�#��Wΰ�ߙ`��N��\�0�z(�2b���.~qy��oZ�cendstream
-endobj
-2454 0 obj <<
-/Type /Page
-/Contents 2455 0 R
-/Resources 2453 0 R
-/MediaBox [0 0 612 792]
-/Parent 2429 0 R
->> endobj
-2456 0 obj <<
-/D [2454 0 R /XYZ 72 720 null]
->> endobj
-2457 0 obj <<
-/D [2454 0 R /XYZ 72 667.287 null]
->> endobj
-2458 0 obj <<
-/D [2454 0 R /XYZ 72 317.512 null]
->> endobj
-2459 0 obj <<
-/D [2454 0 R /XYZ 72 322.046 null]
->> endobj
-2453 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2462 0 obj <<
-/Length 2017      
-/Filter /FlateDecode
->>
-stream
-xڵYK��4��W�@N�zZ60
�`PP;���$��j
;k;Lv=ݒ�J4�b.[�Z�_w����-�~˓%c$Sjy��d�����)���F3��*<��^)��h���*fQ�bQ�޻]�:*N�2��*����z�xc�u�K�)�j����PzY�����6�4,�oV����[M'��e�3B�j���щ���ع���%�G��Xt��tO��O=��0��
����
U:Z3G�>
����3�q&j�у{4��
~��
����c
V1.na�`��ִ
Ba���ԕ��h�F�E�F���$Pu
-�
0SP�U?���"�D�4�w���"�1����]������f��܆��@��$R&��p�~������=�M�����b�fߢ��oߚ������S&
-t :�>T�(j�K���cۙ}�„��y�K
-�1i����JEY
 ���h^m�Kc����^m�#Y�w
� �o�y�e�M��kS�����}dr�"?�W>=�\0�A_l�0��q

�"�Q. k��
،2Z������F�O���
--ع����KS�H�牠=��}g
w�H
Kՙ�fS�|��yڙ�+���W�2��1`�A��Mh�f�@c��[�=�.m[X�D
��

��`�=Ok`9�=K�1=�T�4����آ;�,�>഼�AUbL�\�hh��
�0�3Xb�axMd����z*[����_Q�gTc��ol�3%>�d��6��ƒ�oǦ��\Jo�K���EQY�/6�D�ZN��ǝ��4��M� G��O�"N>#�DO����X0¸K�_0���|�nr�@N���N6��L��󇛠�R�L��茁�#��G���{FJ��
-kS�
���GP��S��s��n�n܃
�v`�!�m)��щ7-�wJ���;���y�Q�{�x�
S��z=����$�+� .ˈ�M��P{f��O:m5�
�Tʘ]q�
�O�*o���P�5��%�	�SZ��F�]Eq�z�
��������
�Éi��g]�@㊂o�֮�<!a=.O@q%�x ���"��rk�T��Ta^��!d��X������
-zp֯�>e:Q1�/f'��)�� �I!c�.}oj��,QjL�����R�s,9�eJ0!��X���N��( �ф��J�d0]
~C�X�1c��S�?]�
~	_��� �yJp 
-‘_�����B^�;�E����'3]���	d� 
-pꇹ�D�l�
�6EH� )�/A�b�B��)�7��:��ϓg2
-����b�?sk[�Cl��8U�a�?%ďp�����"Äp.?�
a�� ��'^�
-���a�D#�
'��4M��_�x�@r�w�SiӚKe����E��]���D�
��B�d��BC�Ad��r�n�� +��i�7
ÖB����8��r?��0�݌[$;�un���
-u
-��t�fvF,lF,L�
��*1
qg��9���^K{��VТQ�R�g�U�|��+=��=�
�������9`���
"���R���S��P�P����R��Ն[)��n�`tv���C�׸ΰ?���� ����

z<����5!�}��r2��A��_h(�T��G��5̰e�1�JÞ��0!:����И�	�L����)ټiMӗ�cZ|>s&)a2���q�y7�
-��H�E�$a�uۯ5��}^^d��Y6M/���M�
�d|�Z_�) �3���Y�u�c�_Ht
�O��[�DG�m���6Bə^��vlu�f� 6�7��T����Ĺʂ�
��^

R��Nv�W�,ax��C��>�	�c�e��2�/� C�nS~�EYT�%��nҖ)��S~�!�3u�a�����Y�aD�޺��'����,?j����t�p��X�yHkN�S,�B
1�<4�ƴ�M;�j��������߇�W	������@>�D4���3
-�KG7�[`\e�j�Ɯl��Gv�7�j��;�9�Q�7[� p.
endstream
+x��V;o�0��+�����2I�zM��I�N����tl@~�tj7C{�ǓDɖ�t�@��}w��
�?N�;
'C΃L��d>�"�Ä�������Iz3�{S{��d0�h�����X��O>��D�gÑ���eh�VKKDŽ�+�?m���[U��;k�ɷ4��L�
�'�˭�=,G5J�(��c}&��&�ʢ��ɀ
��ݾ�SN��a��
Ğ�3%}c�ڊJ�Y�?���jW�R3��?��+
|�ddG�y����z$��zI�F,�ܦL=0

+F�־H���A���w���I~�Y�
H�������
���n*ǀM�_����L1�VWi�H�f�0�%�?��|J�
t�`��T�c\UT�
x@�T�)Ș�P

��/,r�����-����M�["ib�!vt
�uF��ɉ��U gv[ w�l�W��
+H��egNmm�7d U������ϗ�y�\3�\�T��0�.
M
n�
_.�뮛�����T���˗��w\K�h�eOխUD|.�?�'��[�v���؝>jp-F�O�m�Έ.�BTA�GI+T�Ɏ�ͭ����2�Nh^?�[��vov4�s������}�{=���Я$��8�}�rz�U���If�+�#��{d
�"��C�uh��k �d��18�"�

*]i����/��7�endstream
 endobj
-2461 0 obj <<
+2682 0 obj <<
 /Type /Page
-/Contents 2462 0 R
-/Resources 2460 0 R
+/Contents 2683 0 R
+/Resources 2681 0 R
 /MediaBox [0 0 612 792]
-/Parent 2466 0 R
->> endobj
-2463 0 obj <<
-/D [2461 0 R /XYZ 72 720 null]
+/Parent 2653 0 R
 >> endobj
-2464 0 obj <<
-/D [2461 0 R /XYZ 72 594.113 null]
->> endobj
-2465 0 obj <<
-/D [2461 0 R /XYZ 72 422.818 null]
+2684 0 obj <<
+/D [2682 0 R /XYZ 72 720 null]
 >> endobj
-2460 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F48 554 0 R /F52 1472 0 R /F54 1447 0 R /F35 1440 0 R >>
+2681 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2469 0 obj <<
-/Length 2051      
+2687 0 obj <<
+/Length 893       
 /Filter /FlateDecode
 >>
 stream
-x��YK����W�\>P�%�7H'{Y�[�r�5岳��D�2�kIi
>䷧
R�
4��L�ع��j4��5��l��k�!XaLr�H�L
��0��M�ߗ��n*���T�4SΤ,��랤�f"m�v7}����.p��dR2;"�wRp"�vH(��&����E`}
{la�h8�UsZ�����=J��w�֎�XsV8x�I1$�Lq
(>��Lt�U�1�
@A-6
��tםh�� ���j��5��4.ҧ,d�֫)��%����
--3�?z�ۦ���l��y��&�Р[e�im���y�!d�ހ9�M7
z��hQ��٬j����#�)�
-��L	�m��~QM�����+͌���8��r]���p���"�I� #>@��Z�.�+���#ZpF�
h�V�v�JN���'_�M��(nY��Z1!t2[M>N޾��|“7�4D�����HV�X:��r�����W�1��^a�D�Tc*�'���Q]ozWr�w	�t��x�6(�$�1m��"�
�PL�b��w\��
�N
�|��aN�` Ʌ'�K�M&s�L�њ���/�٫5�����8�wJ-�vW55VC�s
�#���H hp���E�o©@�h6+
-3���
Fٗ�|I�d)w^�u�"i5� ��pX�i^<.�j�����Ju���)����ьZ�����mN˨(�؄3̛�>8$��V%:�I_U�z�_.��ݡe��ϩ~���o�
-7Xw��`9E��jc�q_.��6�vC9$�2Ή
-��j)
���s�����LF���&�C�Mԙ$���or&<:}��t^�PUM����q/��>�?ً�Ӽe�uy�P��p�aQ���^�9�U0hْ�H��-�S����o]���K�k�սaa�%.�
A�&"�\
-֕�D���G�?�:��Ώ
-��s��H�B�Q71A ���nA��B�F4GU����yTc�vL9r���F
2���.!����SQ��`I���!���?�it$�
$����g��4�	$ ��|��ʁ]ȀIF���d�.^|C1���U�}|�V��
8��r�{'{y�+��?��B�5���a�S�l���G��
sۦwJ�?�F+��߾���
*;�z�A �s��"�ݮ�0�k<�ح r"�
��4���H�*��\<[��Ȏ�c����򖡒LCw'@�C�s�j�)����d���Q��.���}	E�B"��>��E���`�\�D���{(`����
��
-�ᡳw;j�B��]�3
���)-�ѻ;�L�,.��FBr�f bL9���L2�@cb�i��$��[4`>҇W'��� �yhȱ�L
-{�?���cG�R�#=�@��"���
P�n�GP���n��e½�yL�O����<���
����I�
-Tw�Q�����m���Kh񮾀&D�P���t�ڌ�� ��x�
��vp�nl�/�l���kߊ���pQ�,�>%n�%���ϗq	�D�� "ʨ����m9��|�R�����y����5�F�R���w�-�䃒�|�YR�P8)=�]�}
�J�Vf(<�{頪u�n�8 at a8�ޫ1�7���ǘo�f�8�����
p��Du^��+��/�#<{ 
l#�f=�@*B0��Fћ���}&����<�0��p�%�*�HOB�W6`A�����
A �=2��
��$�a�29P<0��8�>�?� $=t1P 
A+��;�tD�L�l�z�?6���E�x.��sV>3��'�	�g �0��W��>���`b��<������p�D��Q����>��4-tZ.a
-?Rߕ��>��e_!��������^�r����#���{ʲ���l�ZᵄW/Z�G��������b����k����3����Pv��4| ��xUvߎ������4�0�z�K�VoM>2cu]����E(�
*�7�f�7��uh�Z��y�������^3|��j��7�74�/z\���
-O1��!��4��t�q^��
5y�t-.� �9��z9�Ӳ�4l���wʕ��ӡ��o�vendstream
+xڽV�n�@��+��l�v<�Gl,P[�.��$l�E�
���i�-)�~;sc���
�F��}�9�N��pDq$�(N�$s��ȹs� KӉ@{�O�F�5yc�q#r�
ݎ����7v����h|-sG� Og�t�4�d�D"�D�_\�	7��8�ݹZ��V���Ľ��=68d�>��g/�Bo��:0���Z�Jy�f7�v�G��+�0CWW�a�
����|Gz�?tR�i�p��]��Z��O���X�� R�H���� !E�5F�
+x+<9!
�-j�m
y5�˓1��`��ئ�0�ר�V$�w����a
wGg��%�u�)�j�� �SD��K�� ��|m�p?�
��4�
����(c�1���[�`
+��+ �j��T�#|)�
�����!��
��HE�/��GH�8��[pL
��T�b�*
����Ya
i?���B&���ٮ;��&�p`M!C�Rv�h�E&lMz%�+����F�GGw* ���"�X-A�'�@L���������nma)�譞��T�����r
Z]H?��J�X�ӧ�.���ӂOv�� �-AT���,]X$��B+���,B��"PW=ZQ�<��$���&��������%�.-.z
++X�x�o�׻{5������iK d��=�� �V�u�
{�OVs�P���ǀS�li
+tMM�6�����;zH} O�m���p��C��
+�
�չ){�X��m�>��I��n
m���c��
f�=,]�߼�Z�L��
ӣ*ULԆ�K.��o{�J�>�cþJ:>ɪ
C��:H�ƪ|���w
A?���te���ج
mޒ�MЕ�^f��ڎ_�����
cԫ�������}�>/-!�A�!�O�,�$��T�Y���da� ?���� �M� endstream
 endobj
-2468 0 obj <<
+2686 0 obj <<
 /Type /Page
-/Contents 2469 0 R
-/Resources 2467 0 R
+/Contents 2687 0 R
+/Resources 2685 0 R
 /MediaBox [0 0 612 792]
-/Parent 2466 0 R
->> endobj
-2470 0 obj <<
-/D [2468 0 R /XYZ 72 720 null]
+/Parent 2653 0 R
+/Annots [ 2690 0 R ]
 >> endobj
-2471 0 obj <<
-/D [2468 0 R /XYZ 72 697.999 null]
->> endobj
-2472 0 obj <<
-/D [2468 0 R /XYZ 72 167.212 null]
->> endobj
-2467 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R /F52 1472 0 R /F41 1704 0 R >>
+2680 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/ls-ExamplesPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2691 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2475 0 obj <<
-/Length 2087      
-/Filter /FlateDecode
+/Font << /F1 2692 0 R /F2 2693 0 R /F3 2694 0 R >>
+/ExtGState <<
+>>>>
+/Length 2695 0 R
 >>
 stream
-xڽYKsܸ��W��J�@�]�[^��֛���d����0��#KΟO7�p�Y^{}��F_?�z}�⻷2=��J�]��2y�q�x��hܘv��U=,���=6�h[,$vن�/�uk�
h~���*�/�MqӸ��]u=�m�����݋_����ی�đ�fR�g�J��t�AD#�==V���M��	��v
�<�X�)��E1��
��სt��@����LO'��ai
pKʹ�Ζ�L�VgK��$I����*�0��8�V=���i1��n��{t�hz�����z�SP���ك
[�9��
�Jʹp"�8ݬpM]"Jx�v
BW͘N�c�‰O(7��S�e�
8β���S`��	�;$>�`H�%����,<�?�Y�f�ư�n
$����� 
	�%��и�H�כ���H�o3�F�[�S�D�9�N�N�>��,[,���;ac�
JF�1[�[ i
�ݠ֨�L�5Z�ı��#�̮��e:��
6�e��c܎�qؙ&tDe���c������0��@��o`��{t�D�;]�6_��i�^ؔ�yf�x/�!Xƽ��.���n��fs�gZ{F~D�55�Y#>'@\��/����G:��ۀ��u
�8�*��y90��|
��Z�,�7k�WhXgt�[�E9����l�G�s&��H��
�($S��B;|�X&9?�}���b>���np|#��szn��z�9m`��&˴��-�![�$�;���o���D�_��%�:��Ux2
-S4�
-�D>�P��=$��
Q��*k=����2�Y�B� Wx�=ŀK�P&6�D}O?����/�,���oډ9�;W����6�=be��	}X
��K�
y�
b���ۃ}�Ut�P�i��$����ـ��ɀtآ9�U�p�T�\If��y�dx�7	��
<[�>�=���
���yq�܅T?��1/�z�^po��G&����RN#Sj��M�
(�����n걞��39�(޺�]hée�����!���ƙ`:�ڻ�����D
-H��ϳ�/�i�
�v�� ����j�BHZ�[�h������ȿH�X��5��9 pN H{Qi�0b#�H
�ت������At���mx��p
-�G��I-8��n'�a	�e�
AK�+���t>��1KU��6U���A������8���)~��C&���?�F}�%e�F!������AK
A���6��WN{
[���c�w�"� �l5�!�O"�I4y�I4��].N��N���z0H����;eA\�R7��r��B[��1���7��ߗ��L���r�I(q���<�z,�;ټ��R,��kf�e�V���<L�r�QV�����P0:� ��O�!߬���o�5����F�4��
��^3�����(j������I4<�- O,�Ȩ�xA���PfL����v��!?��Ư]y�eW������[�#�
l�f=��a��c�jߖSu;��&5>"Q��:���N�qtu��\]�%��^	o��

<��kg8�U[��}�an
܁�P�w�zW�r(����+'��u�m_�-���/+;�m%VB]�4n��1F�4�k,�_Ƅ9e=�88�9�)>@ �[����ֿ�s�(�^1�}�~��+���y�n���b�-a.�,\a�}����mȁ��7��
��B�(o_�OI@XM���Yn
-�%����P�-4
�[��>���Fipw���?���ȷLR�e�B��kK�LG������}h[ʨ�
�-�u���
hԗ�p�]a�eD?��Y������u�
̝hW����i���f�ݚ
��:��v�~�kˆa<?b$��
O�xaه�
�K
{���K8���n��z��o���iU�<��Y�0��2$iu8v8I��]1ϸb��Ϯh�?17�j�
�7z�G7t'��h�e52�+���:�!(Leydt��Y����~�@O�C=y��@N)>�����@
���
�\|�ͤ�ה����L
������*œw��W�~��|�i�_@�\L�e�'c
⾮m
�Ac�ʸ	V�m�ǎ���pe���u��h�o��k���
ҿ��Li��E)��?\��?ے��endstream
+q
+Q q 57.60 273.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 278.40 m
+71.59 278.40 l
+72.24 278.40 l
+72.89 278.41 l
+73.54 278.41 l
+74.19 278.41 l
+74.85 278.41 l
+75.50 278.42 l
+76.15 278.42 l
+76.80 278.43 l
+77.46 278.43 l
+78.11 278.44 l
+78.76 278.45 l
+79.41 278.46 l
+80.07 278.47 l
+80.72 278.48 l
+81.37 278.49 l
+82.02 278.50 l
+82.68 278.51 l
+83.33 278.53 l
+83.98 278.55 l
+84.63 278.57 l
+85.28 278.58 l
+85.94 278.61 l
+86.59 278.63 l
+87.24 278.65 l
+87.89 278.67 l
+88.55 278.70 l
+89.20 278.73 l
+89.85 278.75 l
+90.50 278.78 l
+91.16 278.81 l
+91.81 278.84 l
+92.46 278.87 l
+93.11 278.90 l
+93.76 278.93 l
+94.42 278.96 l
+95.07 278.99 l
+95.72 279.03 l
+96.37 279.06 l
+97.03 279.10 l
+97.68 279.13 l
+98.33 279.17 l
+98.98 279.21 l
+99.64 279.25 l
+100.29 279.29 l
+100.94 279.34 l
+101.59 279.39 l
+102.24 279.44 l
+102.90 279.50 l
+103.55 279.56 l
+104.20 279.63 l
+104.85 279.71 l
+105.51 279.79 l
+106.16 279.87 l
+106.81 279.96 l
+107.46 280.07 l
+108.12 280.17 l
+108.77 280.29 l
+109.42 280.41 l
+110.07 280.54 l
+110.72 280.68 l
+111.38 280.82 l
+112.03 280.97 l
+112.68 281.13 l
+113.33 281.29 l
+113.99 281.46 l
+114.64 281.64 l
+115.29 281.81 l
+115.94 282.00 l
+116.60 282.18 l
+117.25 282.37 l
+117.90 282.56 l
+118.55 282.75 l
+119.20 282.95 l
+119.86 283.14 l
+120.51 283.34 l
+121.16 283.54 l
+121.81 283.74 l
+122.47 283.95 l
+123.12 284.15 l
+123.77 284.36 l
+124.42 284.57 l
+125.08 284.78 l
+125.73 285.00 l
+126.38 285.22 l
+127.03 285.45 l
+127.68 285.68 l
+128.34 285.92 l
+128.99 286.17 l
+129.64 286.42 l
+130.29 286.68 l
+130.95 286.95 l
+131.60 287.23 l
+132.25 287.51 l
+132.90 287.81 l
+133.56 288.11 l
+134.21 288.43 l
+134.86 288.75 l
+135.51 289.08 l
+136.16 289.42 l
+136.82 289.78 l
+137.47 290.14 l
+138.12 290.51 l
+138.77 290.88 l
+139.43 291.28 l
+140.08 291.68 l
+140.73 292.09 l
+141.38 292.51 l
+142.04 292.94 l
+142.69 293.38 l
+143.34 293.84 l
+143.99 294.31 l
+144.65 294.80 l
+145.30 295.30 l
+145.95 295.82 l
+146.60 296.35 l
+147.25 296.91 l
+147.91 297.48 l
+148.56 298.07 l
+149.21 298.68 l
+149.86 299.31 l
+150.52 299.96 l
+151.17 300.64 l
+151.82 301.33 l
+152.47 302.04 l
+153.13 302.78 l
+153.78 303.53 l
+154.43 304.31 l
+155.08 305.10 l
+155.73 305.90 l
+156.39 306.73 l
+157.04 307.56 l
+157.69 308.41 l
+158.34 309.28 l
+159.00 310.14 l
+159.65 311.02 l
+160.30 311.91 l
+160.95 312.80 l
+161.61 313.69 l
+162.26 314.58 l
+162.91 315.48 l
+163.56 316.37 l
+164.21 317.27 l
+164.87 318.16 l
+165.52 319.05 l
+166.17 319.94 l
+166.82 320.83 l
+167.48 321.72 l
+168.13 322.60 l
+168.78 323.49 l
+169.43 324.37 l
+170.09 325.26 l
+170.74 326.15 l
+171.39 327.05 l
+172.04 327.95 l
+172.69 328.86 l
+173.35 329.78 l
+174.00 330.71 l
+174.65 331.65 l
+175.30 332.60 l
+175.96 333.57 l
+176.61 334.55 l
+177.26 335.55 l
+177.91 336.56 l
+178.57 337.58 l
+179.22 338.63 l
+179.87 339.68 l
+180.52 340.75 l
+181.17 341.84 l
+181.83 342.94 l
+182.48 344.05 l
+183.13 345.17 l
+183.78 346.30 l
+184.44 347.44 l
+185.09 348.59 l
+185.74 349.74 l
+186.39 350.90 l
+187.05 352.06 l
+187.70 353.23 l
+188.35 354.40 l
+189.00 355.57 l
+189.65 356.74 l
+190.31 357.91 l
+190.96 359.08 l
+191.61 360.26 l
+192.26 361.43 l
+192.92 362.60 l
+193.57 363.76 l
+194.22 364.92 l
+194.87 366.08 l
+195.53 367.24 l
+196.18 368.38 l
+196.83 369.52 l
+197.48 370.65 l
+198.13 371.77 l
+198.79 372.88 l
+199.44 373.97 l
+200.09 375.04 l
+200.74 376.09 l
+201.40 377.13 l
+202.05 378.14 l
+202.70 379.12 l
+203.35 380.08 l
+204.01 381.00 l
+204.66 381.90 l
+205.31 382.77 l
+205.96 383.61 l
+206.62 384.42 l
+207.27 385.19 l
+207.92 385.93 l
+208.57 386.64 l
+209.22 387.33 l
+209.88 387.98 l
+210.53 388.60 l
+211.18 389.20 l
+211.83 389.78 l
+212.49 390.34 l
+213.14 390.87 l
+213.79 391.38 l
+214.44 391.88 l
+215.10 392.36 l
+215.75 392.82 l
+216.40 393.27 l
+217.05 393.70 l
+217.70 394.12 l
+218.36 394.53 l
+219.01 394.93 l
+219.66 395.31 l
+220.31 395.67 l
+220.97 396.02 l
+221.62 396.34 l
+222.27 396.66 l
+222.92 396.95 l
+223.58 397.22 l
+224.23 397.46 l
+224.88 397.68 l
+225.53 397.87 l
+226.18 398.04 l
+226.84 398.18 l
+227.49 398.28 l
+228.14 398.35 l
+228.79 398.39 l
+229.45 398.40 l
+230.10 398.38 l
+230.75 398.32 l
+231.40 398.22 l
+232.06 398.09 l
+232.71 397.93 l
+233.36 397.73 l
+234.01 397.51 l
+234.66 397.24 l
+235.32 396.95 l
+235.97 396.62 l
+236.62 396.27 l
+237.27 395.89 l
+237.93 395.48 l
+238.58 395.04 l
+239.23 394.57 l
+239.88 394.08 l
+240.54 393.57 l
+241.19 393.03 l
+241.84 392.47 l
+242.49 391.90 l
+243.14 391.30 l
+243.80 390.69 l
+244.45 390.06 l
+245.10 389.42 l
+245.75 388.77 l
+246.41 388.11 l
+247.06 387.45 l
+247.71 386.77 l
+248.36 386.10 l
+249.02 385.42 l
+249.67 384.75 l
+250.32 384.08 l
+250.97 383.41 l
+251.62 382.76 l
+252.28 382.11 l
+252.93 381.46 l
+253.58 380.83 l
+254.23 380.21 l
+254.89 379.59 l
+255.54 378.99 l
+256.19 378.39 l
+256.84 377.79 l
+257.50 377.20 l
+258.15 376.60 l
+258.80 376.00 l
+259.45 375.40 l
+260.10 374.78 l
+260.76 374.14 l
+261.41 373.49 l
+262.06 372.81 l
+262.71 372.11 l
+263.37 371.36 l
+264.02 370.59 l
+264.67 369.77 l
+265.32 368.92 l
+265.98 368.03 l
+266.63 367.08 l
+267.28 366.08 l
+267.93 365.04 l
+268.58 363.96 l
+269.24 362.83 l
+269.89 361.65 l
+270.54 360.43 l
+271.19 359.17 l
+271.85 357.88 l
+272.50 356.56 l
+273.15 355.21 l
+273.80 353.83 l
+274.46 352.44 l
+275.11 351.03 l
+275.76 349.62 l
+276.41 348.20 l
+277.07 346.79 l
+277.72 345.38 l
+278.37 343.99 l
+279.02 342.61 l
+279.67 341.24 l
+280.33 339.90 l
+280.98 338.60 l
+281.63 337.31 l
+282.28 336.06 l
+282.94 334.84 l
+283.59 333.65 l
+284.24 332.51 l
+284.89 331.40 l
+285.55 330.32 l
+286.20 329.28 l
+286.85 328.27 l
+287.50 327.29 l
+288.15 326.35 l
+288.81 325.44 l
+289.46 324.56 l
+290.11 323.70 l
+290.76 322.86 l
+291.42 322.05 l
+292.07 321.25 l
+292.72 320.47 l
+293.37 319.69 l
+294.03 318.93 l
+294.68 318.17 l
+295.33 317.41 l
+295.98 316.66 l
+296.63 315.90 l
+297.29 315.13 l
+297.94 314.36 l
+298.59 313.58 l
+299.24 312.79 l
+299.90 311.99 l
+300.55 311.19 l
+301.20 310.37 l
+301.85 309.53 l
+302.51 308.69 l
+303.16 307.84 l
+303.81 306.98 l
+304.46 306.12 l
+305.11 305.25 l
+305.77 304.37 l
+306.42 303.50 l
+307.07 302.62 l
+307.72 301.75 l
+308.38 300.88 l
+309.03 300.02 l
+309.68 299.17 l
+310.33 298.33 l
+310.99 297.50 l
+311.64 296.68 l
+312.29 295.89 l
+312.94 295.11 l
+313.59 294.36 l
+314.25 293.62 l
+314.90 292.90 l
+315.55 292.21 l
+316.20 291.55 l
+316.86 290.91 l
+317.51 290.29 l
+318.16 289.70 l
+318.81 289.14 l
+319.47 288.61 l
+320.12 288.11 l
+320.77 287.63 l
+321.42 287.18 l
+322.07 286.75 l
+322.73 286.36 l
+323.38 285.99 l
+324.03 285.65 l
+324.68 285.34 l
+325.34 285.04 l
+325.99 284.78 l
+326.64 284.54 l
+327.29 284.32 l
+327.95 284.12 l
+328.60 283.95 l
+329.25 283.79 l
+329.90 283.65 l
+330.55 283.53 l
+331.21 283.43 l
+331.86 283.33 l
+332.51 283.26 l
+333.16 283.19 l
+333.82 283.13 l
+334.47 283.09 l
+335.12 283.05 l
+335.77 283.01 l
+336.43 282.98 l
+337.08 282.95 l
+337.73 282.92 l
+338.38 282.90 l
+339.04 282.87 l
+339.69 282.84 l
+340.34 282.81 l
+340.99 282.77 l
+341.64 282.72 l
+342.30 282.68 l
+342.95 282.62 l
+343.60 282.56 l
+344.25 282.50 l
+344.91 282.42 l
+345.56 282.34 l
+346.21 282.26 l
+346.86 282.17 l
+347.52 282.07 l
+348.17 281.97 l
+348.82 281.86 l
+349.47 281.75 l
+350.12 281.64 l
+350.78 281.52 l
+351.43 281.41 l
+352.08 281.29 l
+352.73 281.17 l
+353.39 281.06 l
+354.04 280.94 l
+354.69 280.83 l
+355.34 280.72 l
+356.00 280.61 l
+356.65 280.51 l
+357.30 280.41 l
+357.95 280.32 l
+358.60 280.23 l
+359.26 280.15 l
+359.91 280.07 l
+360.56 279.99 l
+361.21 279.92 l
+361.87 279.86 l
+362.52 279.80 l
+363.17 279.74 l
+363.82 279.69 l
+364.48 279.64 l
+365.13 279.60 l
+365.78 279.56 l
+366.43 279.52 l
+367.08 279.48 l
+367.74 279.45 l
+368.39 279.42 l
+369.04 279.40 l
+369.69 279.37 l
+370.35 279.35 l
+371.00 279.32 l
+371.65 279.30 l
+372.30 279.28 l
+372.96 279.26 l
+373.61 279.23 l
+374.26 279.21 l
+374.91 279.19 l
+375.56 279.17 l
+376.22 279.14 l
+376.87 279.12 l
+377.52 279.09 l
+378.17 279.07 l
+378.83 279.04 l
+379.48 279.01 l
+380.13 278.99 l
+380.78 278.96 l
+381.44 278.93 l
+382.09 278.90 l
+382.74 278.87 l
+383.39 278.84 l
+384.04 278.81 l
+384.70 278.79 l
+385.35 278.76 l
+386.00 278.73 l
+386.65 278.70 l
+387.31 278.68 l
+387.96 278.65 l
+388.61 278.63 l
+389.26 278.61 l
+389.92 278.59 l
+390.57 278.57 l
+391.22 278.55 l
+391.87 278.53 l
+392.52 278.52 l
+393.18 278.50 l
+393.83 278.49 l
+394.48 278.48 l
+395.13 278.47 l
+395.79 278.46 l
+396.44 278.45 l
+397.09 278.44 l
+397.74 278.43 l
+398.40 278.43 l
+399.05 278.42 l
+399.70 278.42 l
+400.35 278.41 l
+401.01 278.41 l
+401.66 278.41 l
+402.31 278.41 l
+402.96 278.40 l
+403.61 278.40 l
+404.27 278.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+134.24 273.60 m 352.34 273.60 l S
+134.24 273.60 m 134.24 270.00 l S
+243.29 273.60 m 243.29 270.00 l S
+352.34 273.60 m 352.34 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 125.90 253.44 Tm (5.0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 234.95 253.44 Tm (5.5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 344.00 253.44 Tm (6.0) Tj
+ET
+57.60 278.39 m 57.60 397.77 l S
+57.60 278.39 m 54.00 278.39 l S
+57.60 308.24 m 54.00 308.24 l S
+57.60 338.08 m 54.00 338.08 l S
+57.60 367.93 m 54.00 367.93 l S
+57.60 397.77 m 54.00 397.77 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 270.05 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 299.90 Tm (0.5) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 329.74 Tm (1.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 359.59 Tm (1.5) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 389.43 Tm (2.0) Tj
+ET
+57.60 273.60 m
+417.60 273.60 l
+417.60 403.20 l
+57.60 403.20 l
+57.60 273.60 l
+S
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 412.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 318.40 Tm (Density) Tj
+ET
+Q q 57.60 273.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.39 m 417.60 278.39 l S
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.41 l
+72.24 62.41 l
+72.89 62.41 l
+73.54 62.41 l
+74.19 62.42 l
+74.85 62.42 l
+75.50 62.43 l
+76.15 62.44 l
+76.80 62.44 l
+77.46 62.45 l
+78.11 62.46 l
+78.76 62.47 l
+79.41 62.49 l
+80.07 62.50 l
+80.72 62.52 l
+81.37 62.54 l
+82.02 62.56 l
+82.68 62.58 l
+83.33 62.61 l
+83.98 62.64 l
+84.63 62.67 l
+85.28 62.71 l
+85.94 62.75 l
+86.59 62.79 l
+87.24 62.84 l
+87.89 62.89 l
+88.55 62.95 l
+89.20 63.01 l
+89.85 63.07 l
+90.50 63.14 l
+91.16 63.21 l
+91.81 63.29 l
+92.46 63.37 l
+93.11 63.45 l
+93.76 63.54 l
+94.42 63.63 l
+95.07 63.73 l
+95.72 63.83 l
+96.37 63.94 l
+97.03 64.04 l
+97.68 64.16 l
+98.33 64.27 l
+98.98 64.39 l
+99.64 64.51 l
+100.29 64.63 l
+100.94 64.76 l
+101.59 64.88 l
+102.24 65.01 l
+102.90 65.15 l
+103.55 65.28 l
+104.20 65.41 l
+104.85 65.55 l
+105.51 65.69 l
+106.16 65.82 l
+106.81 65.96 l
+107.46 66.10 l
+108.12 66.24 l
+108.77 66.38 l
+109.42 66.52 l
+110.07 66.67 l
+110.72 66.81 l
+111.38 66.95 l
+112.03 67.09 l
+112.68 67.23 l
+113.33 67.37 l
+113.99 67.50 l
+114.64 67.64 l
+115.29 67.78 l
+115.94 67.91 l
+116.60 68.05 l
+117.25 68.18 l
+117.90 68.31 l
+118.55 68.44 l
+119.20 68.57 l
+119.86 68.70 l
+120.51 68.82 l
+121.16 68.95 l
+121.81 69.07 l
+122.47 69.19 l
+123.12 69.31 l
+123.77 69.43 l
+124.42 69.55 l
+125.08 69.67 l
+125.73 69.79 l
+126.38 69.92 l
+127.03 70.04 l
+127.68 70.16 l
+128.34 70.28 l
+128.99 70.41 l
+129.64 70.54 l
+130.29 70.67 l
+130.95 70.80 l
+131.60 70.94 l
+132.25 71.08 l
+132.90 71.23 l
+133.56 71.38 l
+134.21 71.54 l
+134.86 71.71 l
+135.51 71.88 l
+136.16 72.06 l
+136.82 72.25 l
+137.47 72.44 l
+138.12 72.65 l
+138.77 72.87 l
+139.43 73.10 l
+140.08 73.34 l
+140.73 73.60 l
+141.38 73.87 l
+142.04 74.15 l
+142.69 74.46 l
+143.34 74.78 l
+143.99 75.12 l
+144.65 75.48 l
+145.30 75.86 l
+145.95 76.26 l
+146.60 76.68 l
+147.25 77.13 l
+147.91 77.60 l
+148.56 78.10 l
+149.21 78.62 l
+149.86 79.16 l
+150.52 79.74 l
+151.17 80.34 l
+151.82 80.96 l
+152.47 81.61 l
+153.13 82.29 l
+153.78 82.99 l
+154.43 83.72 l
+155.08 84.47 l
+155.73 85.24 l
+156.39 86.03 l
+157.04 86.85 l
+157.69 87.69 l
+158.34 88.55 l
+159.00 89.42 l
+159.65 90.31 l
+160.30 91.22 l
+160.95 92.15 l
+161.61 93.09 l
+162.26 94.04 l
+162.91 95.01 l
+163.56 95.98 l
+164.21 96.97 l
+164.87 97.97 l
+165.52 98.97 l
+166.17 99.98 l
+166.82 100.99 l
+167.48 102.02 l
+168.13 103.04 l
+168.78 104.07 l
+169.43 105.10 l
+170.09 106.13 l
+170.74 107.16 l
+171.39 108.19 l
+172.04 109.22 l
+172.69 110.25 l
+173.35 111.28 l
+174.00 112.30 l
+174.65 113.31 l
+175.30 114.33 l
+175.96 115.33 l
+176.61 116.34 l
+177.26 117.33 l
+177.91 118.32 l
+178.57 119.30 l
+179.22 120.27 l
+179.87 121.24 l
+180.52 122.20 l
+181.17 123.14 l
+181.83 124.08 l
+182.48 125.01 l
+183.13 125.93 l
+183.78 126.84 l
+184.44 127.74 l
+185.09 128.62 l
+185.74 129.50 l
+186.39 130.37 l
+187.05 131.22 l
+187.70 132.06 l
+188.35 132.90 l
+189.00 133.72 l
+189.65 134.53 l
+190.31 135.33 l
+190.96 136.12 l
+191.61 136.90 l
+192.26 137.67 l
+192.92 138.44 l
+193.57 139.20 l
+194.22 139.95 l
+194.87 140.70 l
+195.53 141.45 l
+196.18 142.19 l
+196.83 142.93 l
+197.48 143.67 l
+198.13 144.42 l
+198.79 145.16 l
+199.44 145.91 l
+200.09 146.67 l
+200.74 147.43 l
+201.40 148.20 l
+202.05 148.97 l
+202.70 149.76 l
+203.35 150.55 l
+204.01 151.35 l
+204.66 152.16 l
+205.31 152.98 l
+205.96 153.80 l
+206.62 154.64 l
+207.27 155.48 l
+207.92 156.33 l
+208.57 157.18 l
+209.22 158.04 l
+209.88 158.90 l
+210.53 159.76 l
+211.18 160.63 l
+211.83 161.49 l
+212.49 162.35 l
+213.14 163.20 l
+213.79 164.05 l
+214.44 164.89 l
+215.10 165.71 l
+215.75 166.53 l
+216.40 167.33 l
+217.05 168.12 l
+217.70 168.89 l
+218.36 169.63 l
+219.01 170.36 l
+219.66 171.06 l
+220.31 171.74 l
+220.97 172.40 l
+221.62 173.02 l
+222.27 173.62 l
+222.92 174.19 l
+223.58 174.73 l
+224.23 175.25 l
+224.88 175.73 l
+225.53 176.19 l
+226.18 176.62 l
+226.84 177.02 l
+227.49 177.40 l
+228.14 177.76 l
+228.79 178.09 l
+229.45 178.40 l
+230.10 178.70 l
+230.75 178.98 l
+231.40 179.24 l
+232.06 179.49 l
+232.71 179.73 l
+233.36 179.96 l
+234.01 180.18 l
+234.66 180.40 l
+235.32 180.61 l
+235.97 180.81 l
+236.62 181.00 l
+237.27 181.19 l
+237.93 181.38 l
+238.58 181.55 l
+239.23 181.71 l
+239.88 181.87 l
+240.54 182.01 l
+241.19 182.13 l
+241.84 182.23 l
+242.49 182.31 l
+243.14 182.37 l
+243.80 182.40 l
+244.45 182.40 l
+245.10 182.36 l
+245.75 182.28 l
+246.41 182.17 l
+247.06 182.01 l
+247.71 181.81 l
+248.36 181.55 l
+249.02 181.25 l
+249.67 180.89 l
+250.32 180.49 l
+250.97 180.04 l
+251.62 179.52 l
+252.28 178.95 l
+252.93 178.33 l
+253.58 177.66 l
+254.23 176.94 l
+254.89 176.16 l
+255.54 175.33 l
+256.19 174.46 l
+256.84 173.55 l
+257.50 172.60 l
+258.15 171.60 l
+258.80 170.56 l
+259.45 169.49 l
+260.10 168.40 l
+260.76 167.27 l
+261.41 166.12 l
+262.06 164.95 l
+262.71 163.76 l
+263.37 162.56 l
+264.02 161.35 l
+264.67 160.12 l
+265.32 158.90 l
+265.98 157.67 l
+266.63 156.44 l
+267.28 155.22 l
+267.93 154.00 l
+268.58 152.80 l
+269.24 151.61 l
+269.89 150.43 l
+270.54 149.27 l
+271.19 148.13 l
+271.85 147.01 l
+272.50 145.91 l
+273.15 144.84 l
+273.80 143.78 l
+274.46 142.76 l
+275.11 141.76 l
+275.76 140.79 l
+276.41 139.84 l
+277.07 138.92 l
+277.72 138.02 l
+278.37 137.15 l
+279.02 136.31 l
+279.67 135.49 l
+280.33 134.68 l
+280.98 133.90 l
+281.63 133.13 l
+282.28 132.39 l
+282.94 131.65 l
+283.59 130.93 l
+284.24 130.21 l
+284.89 129.51 l
+285.55 128.80 l
+286.20 128.10 l
+286.85 127.40 l
+287.50 126.69 l
+288.15 125.99 l
+288.81 125.27 l
+289.46 124.54 l
+290.11 123.80 l
+290.76 123.05 l
+291.42 122.28 l
+292.07 121.50 l
+292.72 120.70 l
+293.37 119.88 l
+294.03 119.04 l
+294.68 118.19 l
+295.33 117.32 l
+295.98 116.42 l
+296.63 115.51 l
+297.29 114.59 l
+297.94 113.65 l
+298.59 112.70 l
+299.24 111.73 l
+299.90 110.75 l
+300.55 109.77 l
+301.20 108.79 l
+301.85 107.80 l
+302.51 106.81 l
+303.16 105.83 l
+303.81 104.85 l
+304.46 103.88 l
+305.11 102.92 l
+305.77 101.98 l
+306.42 101.06 l
+307.07 100.16 l
+307.72 99.27 l
+308.38 98.41 l
+309.03 97.58 l
+309.68 96.78 l
+310.33 96.00 l
+310.99 95.24 l
+311.64 94.52 l
+312.29 93.83 l
+312.94 93.17 l
+313.59 92.53 l
+314.25 91.92 l
+314.90 91.33 l
+315.55 90.77 l
+316.20 90.23 l
+316.86 89.70 l
+317.51 89.20 l
+318.16 88.71 l
+318.81 88.23 l
+319.47 87.76 l
+320.12 87.30 l
+320.77 86.84 l
+321.42 86.39 l
+322.07 85.93 l
+322.73 85.47 l
+323.38 85.01 l
+324.03 84.54 l
+324.68 84.07 l
+325.34 83.58 l
+325.99 83.09 l
+326.64 82.58 l
+327.29 82.07 l
+327.95 81.55 l
+328.60 81.01 l
+329.25 80.47 l
+329.90 79.91 l
+330.55 79.35 l
+331.21 78.79 l
+331.86 78.21 l
+332.51 77.64 l
+333.16 77.06 l
+333.82 76.48 l
+334.47 75.90 l
+335.12 75.32 l
+335.77 74.75 l
+336.43 74.18 l
+337.08 73.62 l
+337.73 73.07 l
+338.38 72.53 l
+339.04 72.01 l
+339.69 71.49 l
+340.34 70.99 l
+340.99 70.51 l
+341.64 70.03 l
+342.30 69.58 l
+342.95 69.15 l
+343.60 68.73 l
+344.25 68.32 l
+344.91 67.94 l
+345.56 67.57 l
+346.21 67.22 l
+346.86 66.89 l
+347.52 66.57 l
+348.17 66.27 l
+348.82 65.99 l
+349.47 65.72 l
+350.12 65.47 l
+350.78 65.24 l
+351.43 65.02 l
+352.08 64.81 l
+352.73 64.62 l
+353.39 64.44 l
+354.04 64.28 l
+354.69 64.13 l
+355.34 63.99 l
+356.00 63.86 l
+356.65 63.74 l
+357.30 63.64 l
+357.95 63.54 l
+358.60 63.45 l
+359.26 63.38 l
+359.91 63.31 l
+360.56 63.25 l
+361.21 63.20 l
+361.87 63.15 l
+362.52 63.12 l
+363.17 63.09 l
+363.82 63.06 l
+364.48 63.04 l
+365.13 63.02 l
+365.78 63.01 l
+366.43 63.00 l
+367.08 62.99 l
+367.74 62.98 l
+368.39 62.98 l
+369.04 62.98 l
+369.69 62.98 l
+370.35 62.98 l
+371.00 62.98 l
+371.65 62.98 l
+372.30 62.97 l
+372.96 62.97 l
+373.61 62.97 l
+374.26 62.96 l
+374.91 62.96 l
+375.56 62.95 l
+376.22 62.94 l
+376.87 62.93 l
+377.52 62.92 l
+378.17 62.90 l
+378.83 62.89 l
+379.48 62.87 l
+380.13 62.85 l
+380.78 62.83 l
+381.44 62.81 l
+382.09 62.79 l
+382.74 62.77 l
+383.39 62.75 l
+384.04 62.73 l
+384.70 62.71 l
+385.35 62.69 l
+386.00 62.66 l
+386.65 62.64 l
+387.31 62.62 l
+387.96 62.61 l
+388.61 62.59 l
+389.26 62.57 l
+389.92 62.55 l
+390.57 62.54 l
+391.22 62.52 l
+391.87 62.51 l
+392.52 62.50 l
+393.18 62.48 l
+393.83 62.47 l
+394.48 62.46 l
+395.13 62.46 l
+395.79 62.45 l
+396.44 62.44 l
+397.09 62.43 l
+397.74 62.43 l
+398.40 62.42 l
+399.05 62.42 l
+399.70 62.42 l
+400.35 62.41 l
+401.01 62.41 l
+401.66 62.41 l
+402.31 62.40 l
+402.96 62.40 l
+403.61 62.40 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+111.74 57.60 m 397.26 57.60 l S
+111.74 57.60 m 111.74 54.00 l S
+206.91 57.60 m 206.91 54.00 l S
+302.09 57.60 m 302.09 54.00 l S
+397.26 57.60 m 397.26 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 99.89 37.44 Tm (-1.5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 195.07 37.44 Tm (-1.0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 290.24 37.44 Tm (-0.5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 388.92 37.44 Tm (0.0) Tj
+ET
+57.60 62.39 m 57.60 169.78 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 98.19 m 54.00 98.19 l S
+57.60 133.99 m 54.00 133.99 l S
+57.60 169.78 m 54.00 169.78 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 54.05 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 89.85 Tm (0.5) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 125.65 Tm (1.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 161.44 Tm (1.5) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 64.25 196.57 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-2474 0 obj <<
-/Type /Page
-/Contents 2475 0 R
-/Resources 2473 0 R
-/MediaBox [0 0 612 792]
-/Parent 2466 0 R
+2691 0 obj
+<<
+/CreationDate (D:20070601024024)
+/ModDate (D:20070601024024)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2692 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2693 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2696 0 R
+>>
+endobj
+2694 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2696 0 R
+>>
+endobj
+2695 0 obj
+18825
+endobj
+2696 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2690 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [425.128 290.982 432.967 304.816]
+/Subtype /Link
+/A << /S /GoTo /D (Item.166) >>
 >> endobj
-2476 0 obj <<
-/D [2474 0 R /XYZ 72 720 null]
+2688 0 obj <<
+/D [2686 0 R /XYZ 72 720 null]
 >> endobj
-2477 0 obj <<
-/D [2474 0 R /XYZ 72 322.449 null]
+2689 0 obj <<
+/D [2686 0 R /XYZ 72 333.583 null]
 >> endobj
-2473 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F67 564 0 R /F76 747 0 R >>
+2685 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im19 2680 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2480 0 obj <<
-/Length 2372      
+2700 0 obj <<
+/Length 1014      
 /Filter /FlateDecode
 >>
 stream
-xڝ�r��_��K8
L |:q��[�Ԗ^9�V6j���pH���H�|���
�����/C<��F��/Wo�y��2J�W��T]�a&�f��62~�Ϳ���ͻ4�'ZD��-h��M?mw ��D�PJ�v���(��� ��'<
-�dPԛm����榃��le�à����,�[�Èp�P�Z�d/�Li���ef��`1�m��6��5����8��&��QU�\צ'Tr!MlY�2�[�����n�NB��f۴��\�ҡ�lU����w]um�5�^o8��_6*�kn l�
ÔcW
x���ĕ,
��1�h�9:H{_6q�������g?6��b	�[�(J,��
@@n}z3�����]]4�r��?�2P�,��R��f�!�
�O�K
y�@N2_�wC��
ՁG;z�ު�)qQ�3��y��c�L�xPF*	���A
�
r�C<�ظ-
-%��"���ҷjv�)zC ���4�#&[���RȔ.��T�p��p�������!��Q�E����f��8xD��Q!��>�q�qD.����%
���N�������4׶$dv�;��E�-;|ݷ����)��䡴�S8z��,
�b	=�A�
��>
-T�qxe�
���"A���40/��sr'��(:�'�`]%j����\ʹ�����o�:��|
��#C�^í�Ov�@'�G��y��OW�	����
�� $8;r�/��9��
�D��� W�" i����#��E��%�N�q�Ahm�_���$t�
-�5*����Dw��zZCO���47�ȷ�/��a"b�fM"�2�Gg�t�n�)�T�R��-�D�ԛ�?��Χte""��V+tS��x�!��X�)^E&��s�B)ʄ���d�"OX��X��֣YA
C4͝�<@,��h.�- #�'i��d2a�O�/P�D�	�(�\�M.�	պ������`h_6��
�0��pWr���{
�
��
qφ�,��?f�����A�>  $�Sߓ+�UO���P�8KXd����E��"Q��,y�\WM��9L�
�en��j]��e!�������;G�<s��	�;�S
-�l-��/
=�I�3
�`�h��Z;�
�r+s�2��R;]5�F�\r��[��2�B�������|媹��th��7��.���
-����"�Elm(��H#����ص�I�TX�7 j�ܗ�a(_'l����B6����Uw�~���uEI7�
i�=�J�B�{q�S�����]���~�yT
-Y�J��y��
-���8f�C��q�
���E���BZ��Sێ�Up9��?�,��
-Nv���J��D"�����UJ�a�4�b��~�Y�g���l�
�b���s����8�rj�'�)W~�LXYV.8�5{�xVf�y��&�1h5��/W�ȗD���h0��
-����D)��0���%E��i^�Xk]Ib]ޥ��o�)Xj�^�i�
c9`6ߵڢ���9Zh˼:�w�&7=T�ͷ�r����M��j��J�k��
�h:��`N�+2ѐRH5�
b�;m�
-6��Ω$�p���`?|���H�"M��L��7�eB�0w���π�5t�NI�9�T��~�bę��k�tV)�]{��GOY�]Zj),��
-��#�Pr���A�z麭��!�-���A
�}�b�(5U��Z��#��n��l3Ϥ/(������q[
�
~�Dܑ��N����	
e�yլ�3Vw5��f�&w��$�q��Y at w�W+�������N&Q�fJ���ieMs�<�,v&�m�dz�,ͧ

LzSSMRj
�����(ܝB�����
~��U�8];��t؆R����guAa�t
-B�@���ѵ �͒(�`�1�9ԕN�G�D!
�yQj�c��,����Kr
��x���@���
~MZ�Ѹ�zD=�
��-�!
-w`o��L=�t	�
�e�B�i3�b7���Ydϭ,b� �
�v�
-J�)J���-@@]���ض{¢T5�o�<=
7����������>�پ'�CJ�������� ����)�
�^�%Oi�)��\S
�~���g�Y�r7�	g��T'�
L���R9�M

��g���+
Т�ǃ�6�w��u�]�m���*R���U�|�
��g#8>�����*��hV3eʇO�v����ƞ��ҵaq����-
��
�rQ�ETԻ�.�YA�0ŎdWR1�R>HBk7,1C+֢k����Z�L�3�-�:��3���'�,����8���SR��WG�ԗZ��Й��q�s��2[�bp�qB3ÿH^��:�T�0��=�ywL�t%pJ䱗4��
*��u�m����]I���}�EN=�3�L�$�c�1���,��b�+l7����ǫ7�KڶUendstream
+xڭWKo�6���Q"�
�$��-�`/A��F+�x��%'u}���bb�

Y9��73�p߭W/��ΩS���	g��V�0K�ĥ��۶S ��7�x
��:c��mċ�廴q���[��^q��.���2�߯�
a�jm�L���7�O���_���O���y�����.D�e�VR����v�5���;��ҕP�4� (W&ȟgQN95L�#^f}��Yb�(�2��ӡU��/6���N
+��~尿���j�ڒTAֲ
�w��z�c�7����@7��o2|���g�l�R�����B�f����ŋ(����w�eP�)��M��1�Q�6ԙ :��Q�D�z��h��2�
o�ѧ�6������:d�0��Q��!HR��K�TЖ�ɚ���T��9!��ve4��B� 5P�t��eiQ]��
\4
\�:��Pγ:�j&u�*�+��$�c\��
KA�_x��0�������3�
��*.�A�--�n;$�z�8P�s”9;HR#�Jg��_�A�U�6:0�}$��1�#�CHs܏Ӱ���B���φb�x~$pI!*�̿��c�ޙ�=�o�H at YU�Dx��K���� Р�d����z{S�
@jɡ�]�B��S���4!�w:�1d�<��k �v��f�{��c(
+ƑR�[	��i~觔�ۘ*�x~�8JT9s
+�Ŝ�X�5� ���U��c���pthF{R�ű�_�oF�pG9�a�w	�l7�!�5�x��/�f�I������Shh�=�/pɾ�9�ZƂ�i$G��.�8lf��bn����
}�QX	m|
��v� �jB?��\r�Sڊ��f=;��,և��(�#�dp2����P���.=��e����]���He��)r[�@֒O)N���c=��P��q��3	��(8WR�&�֊�ox�Qw������g
M���`9V=jħ�JY�!T�l�Y!�����4����'{J����\9�q�q���?^L���/3f]endstream
 endobj
-2479 0 obj <<
+2699 0 obj <<
 /Type /Page
-/Contents 2480 0 R
-/Resources 2478 0 R
+/Contents 2700 0 R
+/Resources 2698 0 R
 /MediaBox [0 0 612 792]
-/Parent 2466 0 R
-/Annots [ 2484 0 R 2485 0 R 2486 0 R 2487 0 R ]
->> endobj
-2484 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [247.388 338.464 281.243 352.412]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Huber81) >>
->> endobj
-2485 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [287.757 338.464 313.161 352.412]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Huber81) >>
->> endobj
-2486 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [342.489 338.464 376.019 352.412]
-/Subtype /Link
-/A << /S /GoTo /D (cite.White80) >>
->> endobj
-2487 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [382.533 338.464 407.937 352.412]
-/Subtype /Link
-/A << /S /GoTo /D (cite.White80) >>
->> endobj
-2481 0 obj <<
-/D [2479 0 R /XYZ 72 720 null]
->> endobj
-390 0 obj <<
-/D [2479 0 R /XYZ 72 720 null]
->> endobj
-2482 0 obj <<
-/D [2479 0 R /XYZ 72 589.73 null]
->> endobj
-2483 0 obj <<
-/D [2479 0 R /XYZ 72 407.87 null]
+/Parent 2653 0 R
 >> endobj
-2478 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F76 747 0 R /F78 924 0 R >>
+2697 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/ls-DummyPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2703 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2490 0 obj <<
-/Length 2456      
-/Filter /FlateDecode
+/Font << /F1 2704 0 R /F2 2705 0 R /F3 2706 0 R >>
+/ExtGState <<
+>>>>
+/Length 2707 0 R
+>>
+stream
+q
+Q q 57.60 273.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 278.40 m
+71.59 278.40 l
+72.24 278.40 l
+72.89 278.41 l
+73.54 278.41 l
+74.19 278.41 l
+74.85 278.42 l
+75.50 278.42 l
+76.15 278.43 l
+76.80 278.43 l
+77.46 278.44 l
+78.11 278.45 l
+78.76 278.46 l
+79.41 278.47 l
+80.07 278.48 l
+80.72 278.49 l
+81.37 278.51 l
+82.02 278.53 l
+82.68 278.55 l
+83.33 278.57 l
+83.98 278.59 l
+84.63 278.62 l
+85.28 278.65 l
+85.94 278.69 l
+86.59 278.72 l
+87.24 278.76 l
+87.89 278.81 l
+88.55 278.85 l
+89.20 278.90 l
+89.85 278.96 l
+90.50 279.01 l
+91.16 279.07 l
+91.81 279.14 l
+92.46 279.20 l
+93.11 279.28 l
+93.76 279.35 l
+94.42 279.43 l
+95.07 279.50 l
+95.72 279.59 l
+96.37 279.67 l
+97.03 279.76 l
+97.68 279.84 l
+98.33 279.93 l
+98.98 280.02 l
+99.64 280.11 l
+100.29 280.20 l
+100.94 280.29 l
+101.59 280.37 l
+102.24 280.46 l
+102.90 280.54 l
+103.55 280.62 l
+104.20 280.70 l
+104.85 280.78 l
+105.51 280.85 l
+106.16 280.92 l
+106.81 280.98 l
+107.46 281.04 l
+108.12 281.09 l
+108.77 281.14 l
+109.42 281.18 l
+110.07 281.22 l
+110.72 281.26 l
+111.38 281.29 l
+112.03 281.31 l
+112.68 281.33 l
+113.33 281.35 l
+113.99 281.36 l
+114.64 281.37 l
+115.29 281.38 l
+115.94 281.39 l
+116.60 281.40 l
+117.25 281.41 l
+117.90 281.42 l
+118.55 281.43 l
+119.20 281.45 l
+119.86 281.48 l
+120.51 281.51 l
+121.16 281.55 l
+121.81 281.60 l
+122.47 281.66 l
+123.12 281.73 l
+123.77 281.82 l
+124.42 281.92 l
+125.08 282.03 l
+125.73 282.16 l
+126.38 282.31 l
+127.03 282.47 l
+127.68 282.65 l
+128.34 282.85 l
+128.99 283.07 l
+129.64 283.30 l
+130.29 283.55 l
+130.95 283.81 l
+131.60 284.09 l
+132.25 284.38 l
+132.90 284.69 l
+133.56 285.00 l
+134.21 285.33 l
+134.86 285.66 l
+135.51 286.00 l
+136.16 286.35 l
+136.82 286.70 l
+137.47 287.05 l
+138.12 287.40 l
+138.77 287.75 l
+139.43 288.10 l
+140.08 288.45 l
+140.73 288.79 l
+141.38 289.13 l
+142.04 289.47 l
+142.69 289.80 l
+143.34 290.13 l
+143.99 290.46 l
+144.65 290.79 l
+145.30 291.11 l
+145.95 291.44 l
+146.60 291.77 l
+147.25 292.10 l
+147.91 292.44 l
+148.56 292.79 l
+149.21 293.15 l
+149.86 293.53 l
+150.52 293.91 l
+151.17 294.32 l
+151.82 294.74 l
+152.47 295.19 l
+153.13 295.66 l
+153.78 296.15 l
+154.43 296.67 l
+155.08 297.22 l
+155.73 297.79 l
+156.39 298.41 l
+157.04 299.05 l
+157.69 299.73 l
+158.34 300.43 l
+159.00 301.17 l
+159.65 301.95 l
+160.30 302.76 l
+160.95 303.60 l
+161.61 304.47 l
+162.26 305.37 l
+162.91 306.30 l
+163.56 307.25 l
+164.21 308.24 l
+164.87 309.24 l
+165.52 310.27 l
+166.17 311.31 l
+166.82 312.37 l
+167.48 313.45 l
+168.13 314.53 l
+168.78 315.62 l
+169.43 316.72 l
+170.09 317.82 l
+170.74 318.92 l
+171.39 320.01 l
+172.04 321.10 l
+172.69 322.18 l
+173.35 323.26 l
+174.00 324.31 l
+174.65 325.36 l
+175.30 326.39 l
+175.96 327.41 l
+176.61 328.41 l
+177.26 329.40 l
+177.91 330.37 l
+178.57 331.32 l
+179.22 332.27 l
+179.87 333.20 l
+180.52 334.11 l
+181.17 335.02 l
+181.83 335.92 l
+182.48 336.82 l
+183.13 337.71 l
+183.78 338.60 l
+184.44 339.49 l
+185.09 340.39 l
+185.74 341.29 l
+186.39 342.20 l
+187.05 343.12 l
+187.70 344.04 l
+188.35 344.99 l
+189.00 345.94 l
+189.65 346.91 l
+190.31 347.90 l
+190.96 348.89 l
+191.61 349.91 l
+192.26 350.94 l
+192.92 351.99 l
+193.57 353.05 l
+194.22 354.12 l
+194.87 355.21 l
+195.53 356.30 l
+196.18 357.41 l
+196.83 358.52 l
+197.48 359.64 l
+198.13 360.75 l
+198.79 361.87 l
+199.44 362.99 l
+200.09 364.10 l
+200.74 365.21 l
+201.40 366.31 l
+202.05 367.39 l
+202.70 368.46 l
+203.35 369.52 l
+204.01 370.56 l
+204.66 371.59 l
+205.31 372.59 l
+205.96 373.58 l
+206.62 374.54 l
+207.27 375.48 l
+207.92 376.40 l
+208.57 377.30 l
+209.22 378.18 l
+209.88 379.04 l
+210.53 379.88 l
+211.18 380.71 l
+211.83 381.51 l
+212.49 382.31 l
+213.14 383.09 l
+213.79 383.86 l
+214.44 384.62 l
+215.10 385.37 l
+215.75 386.11 l
+216.40 386.85 l
+217.05 387.57 l
+217.70 388.30 l
+218.36 389.01 l
+219.01 389.73 l
+219.66 390.43 l
+220.31 391.12 l
+220.97 391.80 l
+221.62 392.47 l
+222.27 393.13 l
+222.92 393.76 l
+223.58 394.38 l
+224.23 394.96 l
+224.88 395.51 l
+225.53 396.03 l
+226.18 396.52 l
+226.84 396.96 l
+227.49 397.34 l
+228.14 397.68 l
+228.79 397.95 l
+229.45 398.17 l
+230.10 398.32 l
+230.75 398.40 l
+231.40 398.39 l
+232.06 398.31 l
+232.71 398.16 l
+233.36 397.92 l
+234.01 397.61 l
+234.66 397.19 l
+235.32 396.69 l
+235.97 396.12 l
+236.62 395.46 l
+237.27 394.73 l
+237.93 393.92 l
+238.58 393.04 l
+239.23 392.09 l
+239.88 391.08 l
+240.54 390.03 l
+241.19 388.93 l
+241.84 387.78 l
+242.49 386.60 l
+243.14 385.40 l
+243.80 384.19 l
+244.45 382.97 l
+245.10 381.75 l
+245.75 380.54 l
+246.41 379.34 l
+247.06 378.17 l
+247.71 377.01 l
+248.36 375.89 l
+249.02 374.81 l
+249.67 373.77 l
+250.32 372.77 l
+250.97 371.81 l
+251.62 370.89 l
+252.28 370.03 l
+252.93 369.22 l
+253.58 368.45 l
+254.23 367.72 l
+254.89 367.04 l
+255.54 366.39 l
+256.19 365.79 l
+256.84 365.23 l
+257.50 364.69 l
+258.15 364.18 l
+258.80 363.70 l
+259.45 363.24 l
+260.10 362.80 l
+260.76 362.37 l
+261.41 361.95 l
+262.06 361.53 l
+262.71 361.11 l
+263.37 360.70 l
+264.02 360.27 l
+264.67 359.83 l
+265.32 359.39 l
+265.98 358.92 l
+266.63 358.44 l
+267.28 357.93 l
+267.93 357.40 l
+268.58 356.84 l
+269.24 356.26 l
+269.89 355.65 l
+270.54 355.00 l
+271.19 354.32 l
+271.85 353.61 l
+272.50 352.87 l
+273.15 352.09 l
+273.80 351.28 l
+274.46 350.44 l
+275.11 349.57 l
+275.76 348.67 l
+276.41 347.74 l
+277.07 346.78 l
+277.72 345.79 l
+278.37 344.78 l
+279.02 343.74 l
+279.67 342.68 l
+280.33 341.60 l
+280.98 340.49 l
+281.63 339.37 l
+282.28 338.23 l
+282.94 337.08 l
+283.59 335.91 l
+284.24 334.73 l
+284.89 333.54 l
+285.55 332.34 l
+286.20 331.13 l
+286.85 329.92 l
+287.50 328.71 l
+288.15 327.49 l
+288.81 326.27 l
+289.46 325.05 l
+290.11 323.83 l
+290.76 322.62 l
+291.42 321.42 l
+292.07 320.23 l
+292.72 319.05 l
+293.37 317.88 l
+294.03 316.72 l
+294.68 315.58 l
+295.33 314.46 l
+295.98 313.36 l
+296.63 312.28 l
+297.29 311.22 l
+297.94 310.19 l
+298.59 309.18 l
+299.24 308.20 l
+299.90 307.24 l
+300.55 306.31 l
+301.20 305.40 l
+301.85 304.52 l
+302.51 303.67 l
+303.16 302.84 l
+303.81 302.04 l
+304.46 301.26 l
+305.11 300.51 l
+305.77 299.78 l
+306.42 299.08 l
+307.07 298.40 l
+307.72 297.75 l
+308.38 297.11 l
+309.03 296.50 l
+309.68 295.92 l
+310.33 295.35 l
+310.99 294.81 l
+311.64 294.29 l
+312.29 293.79 l
+312.94 293.32 l
+313.59 292.87 l
+314.25 292.44 l
+314.90 292.04 l
+315.55 291.66 l
+316.20 291.31 l
+316.86 290.98 l
+317.51 290.68 l
+318.16 290.40 l
+318.81 290.14 l
+319.47 289.91 l
+320.12 289.71 l
+320.77 289.53 l
+321.42 289.36 l
+322.07 289.22 l
+322.73 289.09 l
+323.38 288.98 l
+324.03 288.88 l
+324.68 288.80 l
+325.34 288.72 l
+325.99 288.65 l
+326.64 288.58 l
+327.29 288.52 l
+327.95 288.45 l
+328.60 288.38 l
+329.25 288.31 l
+329.90 288.22 l
+330.55 288.13 l
+331.21 288.02 l
+331.86 287.90 l
+332.51 287.77 l
+333.16 287.62 l
+333.82 287.46 l
+334.47 287.28 l
+335.12 287.09 l
+335.77 286.88 l
+336.43 286.66 l
+337.08 286.42 l
+337.73 286.18 l
+338.38 285.92 l
+339.04 285.65 l
+339.69 285.37 l
+340.34 285.09 l
+340.99 284.80 l
+341.64 284.51 l
+342.30 284.21 l
+342.95 283.92 l
+343.60 283.63 l
+344.25 283.34 l
+344.91 283.05 l
+345.56 282.77 l
+346.21 282.50 l
+346.86 282.23 l
+347.52 281.97 l
+348.17 281.72 l
+348.82 281.49 l
+349.47 281.26 l
+350.12 281.04 l
+350.78 280.83 l
+351.43 280.63 l
+352.08 280.45 l
+352.73 280.28 l
+353.39 280.11 l
+354.04 279.96 l
+354.69 279.82 l
+355.34 279.69 l
+356.00 279.58 l
+356.65 279.47 l
+357.30 279.37 l
+357.95 279.28 l
+358.60 279.20 l
+359.26 279.13 l
+359.91 279.07 l
+360.56 279.02 l
+361.21 278.97 l
+361.87 278.93 l
+362.52 278.90 l
+363.17 278.87 l
+363.82 278.85 l
+364.48 278.84 l
+365.13 278.83 l
+365.78 278.82 l
+366.43 278.82 l
+367.08 278.82 l
+367.74 278.83 l
+368.39 278.83 l
+369.04 278.84 l
+369.69 278.85 l
+370.35 278.86 l
+371.00 278.87 l
+371.65 278.88 l
+372.30 278.89 l
+372.96 278.90 l
+373.61 278.90 l
+374.26 278.91 l
+374.91 278.91 l
+375.56 278.91 l
+376.22 278.91 l
+376.87 278.91 l
+377.52 278.91 l
+378.17 278.90 l
+378.83 278.89 l
+379.48 278.88 l
+380.13 278.87 l
+380.78 278.85 l
+381.44 278.83 l
+382.09 278.82 l
+382.74 278.80 l
+383.39 278.78 l
+384.04 278.76 l
+384.70 278.74 l
+385.35 278.71 l
+386.00 278.69 l
+386.65 278.67 l
+387.31 278.65 l
+387.96 278.63 l
+388.61 278.61 l
+389.26 278.59 l
+389.92 278.57 l
+390.57 278.55 l
+391.22 278.54 l
+391.87 278.52 l
+392.52 278.51 l
+393.18 278.49 l
+393.83 278.48 l
+394.48 278.47 l
+395.13 278.46 l
+395.79 278.45 l
+396.44 278.44 l
+397.09 278.44 l
+397.74 278.43 l
+398.40 278.43 l
+399.05 278.42 l
+399.70 278.42 l
+400.35 278.41 l
+401.01 278.41 l
+401.66 278.41 l
+402.31 278.40 l
+402.96 278.40 l
+403.61 278.40 l
+404.27 278.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+81.52 273.60 m 401.00 273.60 l S
+81.52 273.60 m 81.52 270.00 l S
+145.41 273.60 m 145.41 270.00 l S
+209.31 273.60 m 209.31 270.00 l S
+273.21 273.60 m 273.21 270.00 l S
+337.10 273.60 m 337.10 270.00 l S
+401.00 273.60 m 401.00 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 78.18 253.44 Tm (9) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 138.74 253.44 Tm (10) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 202.64 253.44 Tm (11) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 266.54 253.44 Tm (12) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 330.43 253.44 Tm (13) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 394.33 253.44 Tm (14) Tj
+ET
+57.60 278.39 m 57.60 391.09 l S
+57.60 278.39 m 54.00 278.39 l S
+57.60 297.18 m 54.00 297.18 l S
+57.60 315.96 m 54.00 315.96 l S
+57.60 334.74 m 54.00 334.74 l S
+57.60 353.53 m 54.00 353.53 l S
+57.60 372.31 m 54.00 372.31 l S
+57.60 391.09 m 54.00 391.09 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 270.05 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 307.62 Tm (0.2) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 345.19 Tm (0.4) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 382.75 Tm (0.6) Tj
+ET
+57.60 273.60 m
+417.60 273.60 l
+417.60 403.20 l
+57.60 403.20 l
+57.60 273.60 l
+S
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 412.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 318.40 Tm (Density) Tj
+ET
+Q q 57.60 273.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.39 m 417.60 278.39 l S
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.41 l
+72.89 62.41 l
+73.54 62.41 l
+74.19 62.42 l
+74.85 62.42 l
+75.50 62.43 l
+76.15 62.44 l
+76.80 62.45 l
+77.46 62.46 l
+78.11 62.47 l
+78.76 62.49 l
+79.41 62.51 l
+80.07 62.53 l
+80.72 62.55 l
+81.37 62.58 l
+82.02 62.61 l
+82.68 62.65 l
+83.33 62.69 l
+83.98 62.73 l
+84.63 62.78 l
+85.28 62.84 l
+85.94 62.91 l
+86.59 62.98 l
+87.24 63.06 l
+87.89 63.14 l
+88.55 63.24 l
+89.20 63.34 l
+89.85 63.46 l
+90.50 63.58 l
+91.16 63.72 l
+91.81 63.86 l
+92.46 64.01 l
+93.11 64.18 l
+93.76 64.36 l
+94.42 64.55 l
+95.07 64.75 l
+95.72 64.96 l
+96.37 65.18 l
+97.03 65.41 l
+97.68 65.66 l
+98.33 65.91 l
+98.98 66.17 l
+99.64 66.44 l
+100.29 66.72 l
+100.94 67.01 l
+101.59 67.30 l
+102.24 67.60 l
+102.90 67.91 l
+103.55 68.22 l
+104.20 68.53 l
+104.85 68.84 l
+105.51 69.16 l
+106.16 69.47 l
+106.81 69.78 l
+107.46 70.09 l
+108.12 70.40 l
+108.77 70.70 l
+109.42 71.00 l
+110.07 71.30 l
+110.72 71.58 l
+111.38 71.86 l
+112.03 72.13 l
+112.68 72.40 l
+113.33 72.66 l
+113.99 72.91 l
+114.64 73.15 l
+115.29 73.38 l
+115.94 73.61 l
+116.60 73.84 l
+117.25 74.06 l
+117.90 74.27 l
+118.55 74.49 l
+119.20 74.70 l
+119.86 74.91 l
+120.51 75.13 l
+121.16 75.35 l
+121.81 75.58 l
+122.47 75.82 l
+123.12 76.07 l
+123.77 76.33 l
+124.42 76.60 l
+125.08 76.89 l
+125.73 77.20 l
+126.38 77.53 l
+127.03 77.87 l
+127.68 78.25 l
+128.34 78.64 l
+128.99 79.06 l
+129.64 79.51 l
+130.29 79.97 l
+130.95 80.47 l
+131.60 80.99 l
+132.25 81.54 l
+132.90 82.12 l
+133.56 82.71 l
+134.21 83.34 l
+134.86 83.99 l
+135.51 84.66 l
+136.16 85.36 l
+136.82 86.08 l
+137.47 86.81 l
+138.12 87.57 l
+138.77 88.35 l
+139.43 89.15 l
+140.08 89.96 l
+140.73 90.79 l
+141.38 91.64 l
+142.04 92.50 l
+142.69 93.37 l
+143.34 94.25 l
+143.99 95.14 l
+144.65 96.05 l
+145.30 96.96 l
+145.95 97.88 l
+146.60 98.81 l
+147.25 99.74 l
+147.91 100.68 l
+148.56 101.62 l
+149.21 102.57 l
+149.86 103.51 l
+150.52 104.46 l
+151.17 105.40 l
+151.82 106.35 l
+152.47 107.28 l
+153.13 108.22 l
+153.78 109.14 l
+154.43 110.07 l
+155.08 110.98 l
+155.73 111.88 l
+156.39 112.77 l
+157.04 113.65 l
+157.69 114.52 l
+158.34 115.38 l
+159.00 116.23 l
+159.65 117.06 l
+160.30 117.88 l
+160.95 118.68 l
+161.61 119.48 l
+162.26 120.26 l
+162.91 121.03 l
+163.56 121.80 l
+164.21 122.55 l
+164.87 123.30 l
+165.52 124.05 l
+166.17 124.79 l
+166.82 125.54 l
+167.48 126.29 l
+168.13 127.04 l
+168.78 127.80 l
+169.43 128.57 l
+170.09 129.36 l
+170.74 130.16 l
+171.39 130.98 l
+172.04 131.81 l
+172.69 132.68 l
+173.35 133.56 l
+174.00 134.47 l
+174.65 135.40 l
+175.30 136.35 l
+175.96 137.34 l
+176.61 138.34 l
+177.26 139.37 l
+177.91 140.41 l
+178.57 141.47 l
+179.22 142.55 l
+179.87 143.65 l
+180.52 144.75 l
+181.17 145.86 l
+181.83 146.97 l
+182.48 148.09 l
+183.13 149.20 l
+183.78 150.31 l
+184.44 151.41 l
+185.09 152.50 l
+185.74 153.58 l
+186.39 154.64 l
+187.05 155.69 l
+187.70 156.73 l
+188.35 157.75 l
+189.00 158.76 l
+189.65 159.75 l
+190.31 160.72 l
+190.96 161.68 l
+191.61 162.63 l
+192.26 163.57 l
+192.92 164.50 l
+193.57 165.41 l
+194.22 166.32 l
+194.87 167.22 l
+195.53 168.11 l
+196.18 169.00 l
+196.83 169.87 l
+197.48 170.74 l
+198.13 171.60 l
+198.79 172.44 l
+199.44 173.27 l
+200.09 174.09 l
+200.74 174.89 l
+201.40 175.66 l
+202.05 176.41 l
+202.70 177.13 l
+203.35 177.82 l
+204.01 178.47 l
+204.66 179.08 l
+205.31 179.65 l
+205.96 180.18 l
+206.62 180.66 l
+207.27 181.07 l
+207.92 181.43 l
+208.57 181.74 l
+209.22 181.99 l
+209.88 182.19 l
+210.53 182.32 l
+211.18 182.39 l
+211.83 182.40 l
+212.49 182.36 l
+213.14 182.27 l
+213.79 182.12 l
+214.44 181.92 l
+215.10 181.68 l
+215.75 181.40 l
+216.40 181.08 l
+217.05 180.73 l
+217.70 180.35 l
+218.36 179.94 l
+219.01 179.51 l
+219.66 179.07 l
+220.31 178.61 l
+220.97 178.15 l
+221.62 177.68 l
+222.27 177.21 l
+222.92 176.74 l
+223.58 176.28 l
+224.23 175.82 l
+224.88 175.37 l
+225.53 174.94 l
+226.18 174.51 l
+226.84 174.10 l
+227.49 173.70 l
+228.14 173.32 l
+228.79 172.95 l
+229.45 172.60 l
+230.10 172.25 l
+230.75 171.92 l
+231.40 171.61 l
+232.06 171.31 l
+232.71 171.01 l
+233.36 170.73 l
+234.01 170.45 l
+234.66 170.18 l
+235.32 169.91 l
+235.97 169.65 l
+236.62 169.39 l
+237.27 169.13 l
+237.93 168.86 l
+238.58 168.59 l
+239.23 168.31 l
+239.88 168.03 l
+240.54 167.73 l
+241.19 167.42 l
+241.84 167.08 l
+242.49 166.73 l
+243.14 166.36 l
+243.80 165.96 l
+244.45 165.53 l
+245.10 165.08 l
+245.75 164.58 l
+246.41 164.06 l
+247.06 163.50 l
+247.71 162.91 l
+248.36 162.27 l
+249.02 161.59 l
+249.67 160.88 l
+250.32 160.12 l
+250.97 159.33 l
+251.62 158.49 l
+252.28 157.60 l
+252.93 156.68 l
+253.58 155.73 l
+254.23 154.74 l
+254.89 153.72 l
+255.54 152.65 l
+256.19 151.56 l
+256.84 150.44 l
+257.50 149.30 l
+258.15 148.14 l
+258.80 146.95 l
+259.45 145.74 l
+260.10 144.51 l
+260.76 143.27 l
+261.41 142.02 l
+262.06 140.75 l
+262.71 139.48 l
+263.37 138.19 l
+264.02 136.90 l
+264.67 135.60 l
+265.32 134.29 l
+265.98 132.98 l
+266.63 131.66 l
+267.28 130.34 l
+267.93 129.01 l
+268.58 127.68 l
+269.24 126.34 l
+269.89 125.00 l
+270.54 123.66 l
+271.19 122.31 l
+271.85 120.97 l
+272.50 119.62 l
+273.15 118.27 l
+273.80 116.93 l
+274.46 115.59 l
+275.11 114.26 l
+275.76 112.93 l
+276.41 111.62 l
+277.07 110.32 l
+277.72 109.04 l
+278.37 107.78 l
+279.02 106.53 l
+279.67 105.32 l
+280.33 104.13 l
+280.98 102.97 l
+281.63 101.84 l
+282.28 100.75 l
+282.94 99.69 l
+283.59 98.68 l
+284.24 97.70 l
+284.89 96.76 l
+285.55 95.86 l
+286.20 95.01 l
+286.85 94.19 l
+287.50 93.41 l
+288.15 92.67 l
+288.81 91.96 l
+289.46 91.28 l
+290.11 90.64 l
+290.76 90.02 l
+291.42 89.43 l
+292.07 88.85 l
+292.72 88.30 l
+293.37 87.76 l
+294.03 87.23 l
+294.68 86.71 l
+295.33 86.20 l
+295.98 85.68 l
+296.63 85.17 l
+297.29 84.66 l
+297.94 84.15 l
+298.59 83.63 l
+299.24 83.10 l
+299.90 82.57 l
+300.55 82.03 l
+301.20 81.49 l
+301.85 80.94 l
+302.51 80.39 l
+303.16 79.83 l
+303.81 79.27 l
+304.46 78.71 l
+305.11 78.14 l
+305.77 77.58 l
+306.42 77.02 l
+307.07 76.47 l
+307.72 75.92 l
+308.38 75.38 l
+309.03 74.85 l
+309.68 74.32 l
+310.33 73.81 l
+310.99 73.32 l
+311.64 72.83 l
+312.29 72.36 l
+312.94 71.91 l
+313.59 71.47 l
+314.25 71.04 l
+314.90 70.64 l
+315.55 70.25 l
+316.20 69.87 l
+316.86 69.51 l
+317.51 69.17 l
+318.16 68.84 l
+318.81 68.53 l
+319.47 68.23 l
+320.12 67.95 l
+320.77 67.68 l
+321.42 67.43 l
+322.07 67.19 l
+322.73 66.96 l
+323.38 66.74 l
+324.03 66.54 l
+324.68 66.35 l
+325.34 66.17 l
+325.99 66.00 l
+326.64 65.84 l
+327.29 65.69 l
+327.95 65.55 l
+328.60 65.42 l
+329.25 65.30 l
+329.90 65.18 l
+330.55 65.07 l
+331.21 64.97 l
+331.86 64.87 l
+332.51 64.78 l
+333.16 64.69 l
+333.82 64.61 l
+334.47 64.53 l
+335.12 64.46 l
+335.77 64.38 l
+336.43 64.31 l
+337.08 64.24 l
+337.73 64.17 l
+338.38 64.11 l
+339.04 64.04 l
+339.69 63.97 l
+340.34 63.91 l
+340.99 63.84 l
+341.64 63.78 l
+342.30 63.72 l
+342.95 63.66 l
+343.60 63.59 l
+344.25 63.53 l
+344.91 63.47 l
+345.56 63.41 l
+346.21 63.35 l
+346.86 63.30 l
+347.52 63.24 l
+348.17 63.19 l
+348.82 63.14 l
+349.47 63.09 l
+350.12 63.05 l
+350.78 63.01 l
+351.43 62.97 l
+352.08 62.94 l
+352.73 62.91 l
+353.39 62.88 l
+354.04 62.86 l
+354.69 62.84 l
+355.34 62.83 l
+356.00 62.82 l
+356.65 62.82 l
+357.30 62.82 l
+357.95 62.82 l
+358.60 62.83 l
+359.26 62.84 l
+359.91 62.86 l
+360.56 62.88 l
+361.21 62.91 l
+361.87 62.93 l
+362.52 62.96 l
+363.17 63.00 l
+363.82 63.03 l
+364.48 63.07 l
+365.13 63.11 l
+365.78 63.15 l
+366.43 63.19 l
+367.08 63.22 l
+367.74 63.26 l
+368.39 63.30 l
+369.04 63.33 l
+369.69 63.36 l
+370.35 63.39 l
+371.00 63.42 l
+371.65 63.44 l
+372.30 63.46 l
+372.96 63.47 l
+373.61 63.48 l
+374.26 63.48 l
+374.91 63.48 l
+375.56 63.48 l
+376.22 63.47 l
+376.87 63.45 l
+377.52 63.44 l
+378.17 63.41 l
+378.83 63.39 l
+379.48 63.35 l
+380.13 63.32 l
+380.78 63.28 l
+381.44 63.24 l
+382.09 63.20 l
+382.74 63.16 l
+383.39 63.12 l
+384.04 63.07 l
+384.70 63.03 l
+385.35 62.98 l
+386.00 62.94 l
+386.65 62.90 l
+387.31 62.86 l
+387.96 62.82 l
+388.61 62.78 l
+389.26 62.74 l
+389.92 62.71 l
+390.57 62.68 l
+391.22 62.65 l
+391.87 62.62 l
+392.52 62.59 l
+393.18 62.57 l
+393.83 62.55 l
+394.48 62.53 l
+395.13 62.51 l
+395.79 62.49 l
+396.44 62.48 l
+397.09 62.47 l
+397.74 62.46 l
+398.40 62.45 l
+399.05 62.44 l
+399.70 62.43 l
+400.35 62.42 l
+401.01 62.42 l
+401.66 62.41 l
+402.31 62.41 l
+402.96 62.41 l
+403.61 62.40 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+109.03 57.60 m 413.78 57.60 l S
+109.03 57.60 m 109.03 54.00 l S
+185.22 57.60 m 185.22 54.00 l S
+261.40 57.60 m 261.40 54.00 l S
+337.59 57.60 m 337.59 54.00 l S
+413.78 57.60 m 413.78 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 102.19 37.44 Tm (-6) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 178.38 37.44 Tm (-5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 254.56 37.44 Tm (-4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 330.75 37.44 Tm (-3) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 406.94 37.44 Tm (-2) Tj
+ET
+57.60 62.39 m 57.60 185.05 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 79.91 m 54.00 79.91 l S
+57.60 97.44 m 54.00 97.44 l S
+57.60 114.96 m 54.00 114.96 l S
+57.60 132.48 m 54.00 132.48 l S
+57.60 150.01 m 54.00 150.01 l S
+57.60 167.53 m 54.00 167.53 l S
+57.60 185.05 m 54.00 185.05 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 54.05 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 89.10 Tm (0.2) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 124.14 Tm (0.4) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 159.19 Tm (0.6) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 64.25 196.57 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2703 0 obj
+<<
+/CreationDate (D:20070601024024)
+/ModDate (D:20070601024024)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
 >>
-stream
-x��YK���ϯ09�Ȉ˧
��	0l��C�$�䠶�[�Hr���b�m�m�N#@.�H�z���o�}�)�&B�˜��r��I�s�5���~|*7��LL��?o���'��|�H��G�?�d6�{�-����%J��~U�C6��
�ۭ�pQZ�hߌ���
�@ޗ����0���u�s��m�މ3l��}��zS��w�t��%�U������{�
	>��
�
�V�W�f�-���S�
�{�b��T;�ҋc7��_�es\G���(�
��������A
}��-��l[��|g���53��$B3�S+�S��N�(�E�'æ���ZW�����꾵N��]
[�iT.�̾��&
�v�A��g�ng'�䂇��7�W	�؃�����u�F3��x�zO
�4
�X�����
V��3x-�;�u�'��9Z���>u?���� g�fqDg�諶)�����&��
#a`��[�M�Mb9E�����
:���
8��	S�iX�G��ڊOh����$�:t<����Z�n�>
��ro�#5�g�lĮܹ��
-�z:�&h���yO4SqmN��7���چ��j���)���Ղ���|g_u�Q��S�
-��T87�R;�"$�Lq�(~�#e�oP=D8�`46y�eM��i��a��#a��I��"ey�fR,�HsQ(�8$�X�9W�S���g>�t�O̦��ы�����W���
ˁ�i�/��~ۻ��

� /pTh����y���V��p����hB�J�+S� '�'+2|]0U�	XA��d\9"1%��\N���B[�:fz���&���
E����4�}�]�ጂ���艒<`��б��h��7!E����N�s �@z�R4
�r�.(�:W 
+8�o�>]G�U
-"�kw97����#�@=7ґ<G���S�a^ �(/�2̷�
돉�S��.�[v��͂����Mf��~q��n�Sy�wKT�����q)
w�"�L������Iy� �Ql)!+��Y�4�	6A꿜���Oė	��y��JjZ,�����3

��f������P�׷X<�s���`�D�rz��;2� lں��w	�h�ʶ�%v&fI��j:�xm-EO�X��q��T�R��H��n�:�ν���c���@���=�8����b��;
-����
�gYA�1�Z�@��4��ߺ�ѫ��	4��a�_�����P�p��{Q9�ѸD�Y��E: ���u�>�í�ң$>�A^�P�XTL�"�, (w�E�tS-�dZ(f�C��]L�@�C���!A�ib��%L �1��
-%����I����\���⇯Ӡ���S�eJ�A1����I)�<��K
�vr�WN�G�qp4/lfԷ� 8�
���\��'
j�G
�,"
0` "^����ij�1�4%��Y
-
�S�X�v�^�H��g����
��We�א�!j���nv����>z�u�	ҁ����y[�Ŀ��;{�gNY��
l��.��n����xW�ȕ6sZ�x�yHh 
�Pɾ"a�	]�
-9�
�T2�a�T`N>��!����ƾ�Xh{�{^�[��V�ʿ����oi�����c��j|Y�}�]K���b,�?DT�2������~
-�]A9���<i836��O�Qo7����~�j���i��
rJd.5@#�F�
�*Vt�W���@�)^��:��x�$:*F��5�����{����,0P�a
-ǥ�����(�]��<�<�%\%��_��%
j	e��Ƃt����k>T7
)�e�yX�b��P�T}�FA�T�5�"����/���?7��N����&��V���
;�Jw�
$�@�r?�ゞì��
5�װ|p�?-,
su!���'��_�A�o��Y������_��M�Y�A��א�Xڏ#�xʙ
�L�:WZ�_�.rF7[����� �/C
-0���C
�!.>���u4�h�>
1��[0-(K�do����bQ�_U�9m��A��hݺ����ȵ(r�y�C���`$ۉ
�F�[X"Ԇ�g�Z�i篥�
���!TjÅ�MCc��۪|�U=S���,����O����e at PW\�kr oN�m�	G&� ��Y�S��Bd8���pfQHO�V%{��������C�'rj�E�Gj��+�������ICl���^G��)\�����
����l����tI�Ը��Dwm�TM﫦jK�`Ҹ�=xV�
0t�.��ލ�U_��_ϳ'����:�W���n��&V��t��
9ԋ/��"�� U�
-��WM ��?�tzUj^�o&?��"������A*�
Vp
oS`[
���:��u"�W;��m:��]2��aF��Dvqt�s�l���k
�
��(���0.�
\j�k�h��~�w�
g}��]�$2�L��s�l~K
���~��m�
?1
-ʯD�eyN�E��{r|�����
�+�endstream
 endobj
-2489 0 obj <<
-/Type /Page
-/Contents 2490 0 R
-/Resources 2488 0 R
-/MediaBox [0 0 612 792]
-/Parent 2466 0 R
->> endobj
-2491 0 obj <<
-/D [2489 0 R /XYZ 72 720 null]
->> endobj
-2492 0 obj <<
-/D [2489 0 R /XYZ 72 697.999 null]
->> endobj
-2493 0 obj <<
-/D [2489 0 R /XYZ 72 355.916 null]
->> endobj
-2488 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F54 1447 0 R /F51 1171 0 R /F35 1440 0 R /F48 554 0 R /F32 668 0 R /F78 924 0 R /F76 747 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-2496 0 obj <<
-/Length 2956      
-/Filter /FlateDecode
->>
-stream
-x��ZK�۸�ϯ�!�b"��/��V��T6�ʣ�>�gF�Di)��ɯO7
HA3��u6�>������
�~s��ZPJ���7�
ZR”\�ҐR�����}��jE��zUE�����7�v�����M�6�����a�X<Q,���eF� R�0����1}A���ͱ�6�W��������8t������vӯ`�#>/�����㦽󏂄U��Q� ����b�4Dؙ�%��p��c�Eށ��uSupYm_d&(��� D��M˴Y��#�L�.	�va���
��$�B�q��_pB�L'fQ0™�p��
ʭZ�9��J?�}f�hn�+̈�DR�*�M��ɀ=�4Z0ڍ��E��,sB -
c����B�&�Fe~�� �Y�e��Wp鼗C���_x]W�p�!s{9 ���v��0
���.�.�����DS�a-`�/���<�p�wp�(|, ��;�s��o���&�
�`�$F�R
�E-����7oߕ��M����$B��\C��Jw7�Q�p�����AV�����#G�Q��;\�KàR
��]��e�ʺ��"���"�
S
-K
�p�2"��g��5%�+�!a�
-�tֵ9�N~���}g�h2 Z��>
-ji��
-֯��Y&�
�
-�5�w���{��{qp��|�xP��1
-�p�����T��F~���b
N�#!c����h��M�"�䠏Q�MS2��!���̓uy(�
��h�aEaK�h8�)��@\!!�Y�5Q9��G3~()-{6���\��9>���8>cW�G3D+{š��A�b�0��g
�{Qޟ��"��َ@#�������d�`a�U��20�tñ��
��fY�
� O!��WfyC����D�)lelo�,f�d]b&�"���2�b!#J
$h�g�s�U$�2�
g4�@���Ͽ�7_���Σm`��M!���Lj�3/i�@ӑCT/7�@==�T����rﴭ��n>�|m�
�l�C1�cC]�<Տ��w�� �O{,�v��߮q>�.��',��_+lwb
- �6�	"�'F���.�۾���
�+AJ5T1�Ǿ�U��F�T.�����_۴�̨ ��u��F���?C���{�����A�J���T�,�ʂb����
�y̫�����NjyQ�F��ǎ���d
�A�*��*=r`�6�g��	O�~8U��-߸?�k�Z��vR�k���g�B��`l�Ws�v�:v�v��.�&s{g�VR�
ܞ����
p�
̀�'����tzb~^����P�<��95R	1dmh���>*��_�^�h��
֊tN��׳���M
��j�m�x�G�WM�E at A��~���E��`��
�Ԁ
=�~�1�%\͠���ay�C��E����'�Q���I���]r��o�i�����B
��
-u����h_~d�h�U$�2uN�;7�]�sPm;$�'*
�(��):)[;<o�7�
k����a�3�&$��k-bl<
�MFE튴�
�Y,�:���u�>��Qы�pJI���v��wC�݄�{�v��kʆD�c����Ͳ�Cn���<[��/݀�:T��P�rh���7���&F��Nx�{�p�[`�L��}
�s�d����6�D9|�a{���J
-W_9T�vM�t�Ȼ��c$�&!��
k��2�~��8�� ���cn_)�D����g�p�#���Aۺ��c�K$��gD>3#ޮ�fDGb
ZR"�1��~?jȏ-�\][~n�a��3m^�E�ό `a��9Z�
�f�S��	G��PCyn/�@;-��dJ%��q��\�0k	zJ�S焈k�k����z
-ǵ4ba� 8TC�h7��/��f4����H����#'>w ���C��w����u���s��S�u���\e�!�*����
��X:�A2�x��	
-
҅
��]����r[T�����v��a
��Vk�2�=/�
�,Z�\�,��3�h ��惰"���
F�vÔ>�7
�|��ӊ��䮍9ƺC����f�
{�*���� '"
��Scg�\��ׄ�dȭ�yE�
-`�J�e����H��(!�b�&//D �N�kp/����NF��`X�G��
P$�(�>y�m�����i���
�+�r�s�s
�����f:��"���j�W 
�H3��L��%,l
-��9d�
�~b���Y"b��g�'[`pD
��I�UI/cI���T�zݨ��ɒ1HZ�E�͕Y�ߴ�(����^�U��y_y��m܏>����Ƥ"Z_U� ���5� ����#��CΟ�a�JiF
��
B�͎+o�~}��]���[��8Pe��(Y}��=U�[��b�5��`��,�:$
-��k��4[��i��� �UsB��9��ѝ�uw>�a�P��=�*��7�8z^�|�l:_칯�]	
-�d�UÐ���ͦ�B
p�kB��Ε�d1�\a�P���C�ɩ�2Y��~��g��������Ktծ���
f0�_Pނ2[�N��&6�hl��E�L�c�
:��}���~t–]�(2o���&����7q�ѿ_���>b�r��ඪ{W�_�
-���
~��W��
-�yBn�����ՙW�k�����S���	�;���`�Q�rZo���
>/���& �����/IpO,��$>����
�sEVl�Ub�����9}7V�@�~��O��͞M)�	��&y��’,��
GI^h��
�����?���b������1��棏��۪G�s�$���I���4��N�
?�i�;��o�� �a
1~a%.�����/ՒD�����C̩]7]|����.���!AIк���<Œ�ׄ��ѭchZ
�ʣA8~I�%�q�v�
�|��C��U?9w<ן�^XmB�^�s<��Gza��j���|>��2ab��Dfsy��9*	�#9
�@�j�1 +a�6�����c+endstream
+2704 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
 endobj
-2495 0 obj <<
-/Type /Page
-/Contents 2496 0 R
-/Resources 2494 0 R
-/MediaBox [0 0 612 792]
-/Parent 2466 0 R
->> endobj
-2497 0 obj <<
-/D [2495 0 R /XYZ 72 720 null]
+2705 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2708 0 R
+>>
+endobj
+2706 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2708 0 R
+>>
+endobj
+2707 0 obj
+19296
+endobj
+2708 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2701 0 obj <<
+/D [2699 0 R /XYZ 72 720 null]
 >> endobj
-2498 0 obj <<
-/D [2495 0 R /XYZ 72 468.041 null]
+2702 0 obj <<
+/D [2699 0 R /XYZ 72 276.934 null]
 >> endobj
-2494 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F32 668 0 R /F78 924 0 R /F76 747 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F52 1472 0 R /F54 1447 0 R >>
+2698 0 obj <<
+/Font << /F167 1942 0 R /F114 560 0 R /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F35 663 0 R /F38 1435 0 R >>
+/XObject << /Im20 2697 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2501 0 obj <<
-/Length 2837      
+2711 0 obj <<
+/Length 2639      
 /Filter /FlateDecode
 >>
 stream
-x��Z[���~�_!y��Մs!g��/)b�����&��@�#-k�ܒ�w���{.C��R�nm�ˊ3�˹|������7��[I)�$Y�ޭ\&�tec'b�/�%�������J'
����*�5�����h��Eٗk5u^ᜌn[_���FF=̗MXzh��F��7Uw��.�o<����E���F��a�>�߶0�=ph�
��o}�|��{��ob�i�6̼�����'�h��ؙ�I�D�b�t/p�S�I����5��֯6F&"˒�FaLJ+�-`�����F&�: {�'4�[^Wvt�41ܧV )a��Β����WH0�R��ej��R$�ZmW�����xU\ū�ba@�w�

����
-�0J�au��՟Ƴ6�a��i�"Jt2�xep����#�+�++2KQ"����	C�&���&*cnJ�eܸK	�t��Kt�M���
ha�e�>���,h@�L��Y�f�v+eD�݉�3�6����N�?=�`�@8~���<����P��
�`��Hq�%�
�`A������J+NI����nA�x�
����T B�L��!��{�5's��dD��3�?������XMnz	���H�=>� ��2�l
�2rh�����Lj�@���2�ư��UZ�%ij�������o�ۀqv��h eh����/
�����9��\��
-���dM.4� ����ޖ5Ə����w�ѽWyM��^�_'I��%.[y>��8b���"�����E
x}A�*��sM�#�ր"����v��.�>�]ڦ�!ܞ�ť��N}
�2�h�:�(^�6
D�!�ub�q���v��%�/1����{z �ͺ���(5I
m9�(��t_R�Hky�P��k�м�|ˉQq�'��Fa�`oà�Y�´6j�����A i2����s��S��;�����l�@�
�D��fɔ���0`�*��Y��wu�輫|��5���Dbi��
f~|��wH`&$���vj0�X0�Fe������jX��|
�Kc\T
���_H�p
���;�=&�M۽XoR�Fǚ&}��y�p�p���p{�G�\�"
q}�9�
�
m�g�xb!] � m&�#!/ 7
2"��q�I$����.;(�I�kcVG�����G=�ı<�=��:�`�_��J������S�]��8�����	��<��h�iP��6G��ow��?"W��Mg��UL��(+�8���0��۪��PF��%�ҍ�
�@��&ֈK���-�\�� ��(�8��=ۋg��8
n����9��by^�-p�U�e�8L%Mw}������=?wy��p���6�6;����N�X����mHR�L.�C^ʞ<l��Ё5
��;�/�G
-^�ک�A݊u QH�^�#R
�bp�h�B��n�kQ���פ�Ln�=��;~�9KGq�w�+�{
n!z�>�!��- E��R;�?2$wNJ��5 �p
-'8wwS�n�  
-	��LJ<�z\���w�ܤ0�
-cS�.D-�n+�U�J�G)5;W)Mfr���
��غh�
�D&�o�q��&��Q����G<R	
�
�׼�wc����
�4�隇(Ǧ��lh�%o�
-g��}M��}�$��Tq��+���CI�ЇT���?3�L4ҝD��=e����=/ ;×�	.�i���$�v����������c7Ʒ���
�ju�"�bPG�A�\���:C��(u�n��`�p�I���d
~��X� 	u�d��4�����ȧr�
�J����K�^8
��D~�vr���#/�h!�~���� ~
(O|��=�P����M��%
a{�
2���M�>�d��\.h��j��&� �e��!:a��
���n:����+b���	}�C�\33�\���1
�-�����v �<_[�
�,0�C�^q��άw�� ��a��B&j�ܾ&��R�3�m��$�
��������
�1���aK3	pI�@����m�p!"S����}\��#�<8�$��� ���K��(���_�b.
��@#�N�u�w3�{��l��-{�޷B��d��
cb7 el��{j�I�s 2N�9 �[LT 1&�
- �
-牌w�'�_VF�٬q!�����-�d"�R��T�8�Z/6�b����\ ʦ�Pf�اI�}>|�873��LP�K��2��p�9i�Jw���%�my�H*$�15��A)�(����}G��MӘ���q��?rY���>��=�^�)ޭ�w�7\ɇ�	/�
�[��3$|8�N!�C(����_��jO�Ḩ�
�w-J7��y�E�X{
-a�����m(c�ð��zvg
!8b��
C�b�j����/��i�X�f����$�fш��5"x�0�,��9	�C����j�����
���vez4_x*�=��H�c��^�1uXv�1Dž�3VcT-�c�DqsvR ������JL�
�u
�;���\sϩ
-�r4�E	$�H���
	L�Q�V�3��Y���.h��oC]G2�*0�� �r�D
�x,X�7�
i�)c%g�����|���v�J���e�@�ωC��
�M��f7�l����C>�&޲�5�cpu9��^��
��)�|�o�T��$Vф|���`.���j��?V��n�%@
-���Ų���$+̋�
-輪�T���4?ˌ�~b��sYA�擹Sb����!�"R�$�f�'1���	����
eX�w]街d|��]�C|����ؕl���^
-�	���.0�72���Ց�YБ��陎.�v ����܇R/��
A>�~*��S�G��� ��j�+�*�Q����endstream
+xڽZYo#�~ׯ�~ ��N߇���5؎��� Zq�e"J�H�V���>f�g�eYy�8GwU��u�|yv�ǯ�
c�)՜-�C-��of���lw���Ͷp����f�
+#g7p�
����
���wg� #�2F����s”��rF�H^
d�P�P?�������Y�	�o�ZϺ
�n7��>���W(�0�-U��:�@�BF?��}�'2�6�IPbx�	�2d���M�Dy2Y�xp�"F���g���zQQ��
�?�'�����U6����\̹��&���.�_b�]�8�UX��٢UX4L �2��*�8"�
��J�(%��I81B��N+�8%��8�S�*L��ךh`Ԃ=
���DX�
c�R&�-�П*��\R�-`���~D� �VpT@����w~��=>�q���XN�F� E��N
εy%��6��~��b��>_���v�ś��f�
+HjFܢ�-@�
mǯ$��""�Ū�3ذxE���`d�Z�����y�la(8��Fخ���2��uςR$��d���j<��M�$?~��&��d%����|��hbMa�cyㅂ�M+�"��[e�
@G�+�.��2����p;(�Ƴa���
��(�0|s���	i��4qZ5J������䧓7�h�8��7'�Hc�{��Y���$����䇓�{Rm��ľ��%l�
+z�BJX�w��8��5��1!�]�5Ѧu�J\�%��qbm
+��b�
�c�K�5�1kI87g���1X�v�h��V��"�L��(*�(:y`%ɷ~1!���=sZ�h���UReq	��=�X
��#z�T�H��fEXM�
"[S��·�+��4��o4 
�q#N ��S
ZfƼ�N�=����LkR�+zT�}S�l\� �c ���_@� ��!�k�eE&�=��FrɃ3�
 ��q����?��Dp�eR�SFa�OL��, �0���x�,�:�oʱ}��y
�W)��%}�H���(b&{4��}��� �ٰi�=
��@6g}(�=$� NL.bJ�B�U�B1b]*�+�|�wp�A�)ė���^|)e%�n�yk �qn�d;G)��"n�'�m����:�&Nq�b(��6V�o�]x��F��x��hf�
�%��tZ��uq��
��W�qE�.nQ
t�"�T�EHn�3E���r����<Oi�nȭq|��v�^H;��~�����,h!��*[p�o�@7чm��z�jŲ�I�p����̻n@)
+�P�O�kz3X���<���u�f��d#������n(S
����Q�m�1R���%���.t��_t��
+��G��d�
_���*+,B�z����}�K/�|N%I�qZ�2�G*z�Y�4��O
�WaƷ�(��n:a?Ν
���T�Ң�5�x�bۨ*��!�
�#
6!"����Ke�eh���u�1,��2<�g:�	�w�Җ��)�0`���u=���}�i�م��������c�,�Cܓ�ξ�G4�� ��mE�ƽ�
f<5�M2]0L�í��IS3��X���*&f���˟c�>��!���_歶j�)8
|���\��4�|�a��a�"C�<�S��J�R�X���&�仁�=�	ش�]̟����<�c����*��Y
*?Z�$�ql��+!��W<ݱJWD�4�}�T��W�Q&R2^�t�J]ܱ��S1���;l�
�/B9 [F����[��>�+����M휱�he����>@g$���*^�p���M�?Wt�(�4�PPW�T�"�����	QJ@��}�ף�
&�cv���شwy�p�U���B���r�O�-f�b�IOH�I-�)��o�,��1�Ǖn]�Ę}����c
�>��Uq%�cI�>�m>%���n���nR"��|_�lWy+<�
��+?��{z��p�w3�{�Y�m��A%��F�'���~�B�!TI0P��d�J����@EtUT<���ё�
���������OOb��E=#�6�r�1Dh����G�(�/W�
���T��cy�	�Mf�[R���.�2S�Q����L=�����ZTc�>
�	7Gbx�żU�e�򲎛RDPY [...]
+�;r>��̗E������!
�
�١Y	�6�z�������6�����1[��ߐ�º�#�I���i�Gk
'R=u1�hm����4�R���a�٧
��g�J�.^����b�{�}�h)a��K��m%
��ʲ�
��ಓ���yI�?Z�i����j�t���G�몲�E�<�+��
���:
>��)�$�
+�Բ·���Z;��t�?�y�T�%
D	]�����Ve�Y���ʆ�����atO}�:6��W.y+
}N�l�f� �"�>�.�����.m\m��֢8�sm�m�� ϔ��ڌH���7�"�~y�<i��|t�A9�h�4�C���~:�����}t��w��N+���ف4�5���P���"
+��׫�9�C��	'��3{	0��:}A��/�x�g�A����)�:~��"Ҹ�QB�3��QvK8r��(�&�B
B�8h�

,g�h�5ysVa��g^�H��_B���\���S�u�뫇	�-j��G侉�JC

9����qʯ5�] endstream
 endobj
-2500 0 obj <<
+2710 0 obj <<
 /Type /Page
-/Contents 2501 0 R
-/Resources 2499 0 R
+/Contents 2711 0 R
+/Resources 2709 0 R
 /MediaBox [0 0 612 792]
-/Parent 2504 0 R
+/Parent 2715 0 R
 >> endobj
-2502 0 obj <<
-/D [2500 0 R /XYZ 72 720 null]
+2712 0 obj <<
+/D [2710 0 R /XYZ 72 720 null]
 >> endobj
-2503 0 obj <<
-/D [2500 0 R /XYZ 72 476.076 null]
+2713 0 obj <<
+/D [2710 0 R /XYZ 72 698.015 null]
 >> endobj
-2499 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F54 1447 0 R /F67 564 0 R /F79 926 0 R >>
+2714 0 obj <<
+/D [2710 0 R /XYZ 72 422.372 null]
+>> endobj
+2709 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F73 1467 0 R /F35 663 0 R /F75 1442 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2507 0 obj <<
-/Length 1743      
+2718 0 obj <<
+/Length 2591      
 /Filter /FlateDecode
 >>
 stream
-x��XY��6~ϯX}����C��i�4Es�H�-�nd�^��%G�w7ȟ�
������X<�C��f�3~|�����ϔ��g����6;s22����J+9�����3�
	B�I{&I��,�I�nfs��dX{^���+E����3�l��������"3E\�����/la�:�����/�
&vsF�̍�	ow�3L�#A4J>d�f:�����r�
�����Е0��gy��^�C�S?���g�v�R�A���|����ʮ+�k��
-w6W�R:h�"M3:W��T�lʡ�
����`�+�Ib1�ڴS��ƻ�
BK�$�>��9��h]I�'UF(9��M�	eu�����w73�W
���"뫶�‰��̰.b�bʐT�	��}���M%��6Y.�-N� y���.5�Mg�X�=��@�������\;a
-Gj?N�F


ȇ}�Dq*ad%��P�׍��f�U�<��Sc�G�=ڇC�@tȊ�d�w�q�9X��8�G�ލ0�0�flx����p%U��]���k3t�O/�
�$3_Ȱ� n�\h�ЛD�����
�Ϭc�R��(„���Wa��	j8]u�n�(�bk��
-�Ѕ�n�y���HE3nC{A��8Eg��1
��{诤�,P;�f�x��I�T��b�>�|8d��!>Y5�y!��}e�W՗x\
�1Vy
;
!-]?p�B�1�P4�(�
v'~<�\nQ��~�S;ໂ"q#7ze�ۜz$��P����ŧ�d�?<av�l�)'���!ݩBq�q�DV�_�qu��b2ښLJq��2�
30S"�7�)e�q�}�`h�|9l<�E8͂̆�⠌Ҡ��/���GM8���&�Nx]�Mb�(k�1.�#�}x��p���I�"��A�����݃��l�EԹ�
�I~��<�>��(���=8��hGV�a�f���
����R=FQ��j��{a���'L�wC;��	P%$:Z@'%�dp��[oیx�::�)8���!;����m�
ܢ
�щ@��u7!�-��â+11��
�����.�N!
P��pڮ!�v���&�.mǎ�{��}Ct�H#�ߠ�`н��l(e/\�r�DM�~��� i�\T�T�Y�#��QN໸~S����m��ܢ�t�W��}�&�rl� !�e�E��$��X%+*\>S��pj,�B7#6��l ���0f���f�'F
�xxH������̙a�,hɯ{��|���)�Q�	���k�}|j��&lk?����S����h�J,B5^�a����h����_�3+����U9�\l�5�|8�2y;@��aٳ�m�qfꕃR��b_�2xy.�{E��m�P��#���"�)ƞ�Q_�*�ٜ����X�T3K�]
]�����ى�p$�[f�"6.�Z6y>=&W'�F�p�������<~��+\!�����2�qQՕ2�7i%t_� ��;W�|R.B����������(�v���?����f|̹�/1� �O}��K�ǀ���~3igV�t|�.f�σ��>�V [...]

s����.8�<��e����������
���F�֕}�������k
-����9
�_��#7ׂj�C��U�W�s$\��|�?_�1Ȟy�����c���C�_��$4�h�ݻ'�x�7e�g�aTH1
F;E�nb)�S
nB���h��(PUc�����ut~�(
-�
�)�S䒀
���
-*H}���"��/�
Ƭ��endstream
+xڭZYs7~ׯ`m�ðʄq0�ʃ��a'��Z�Mm�lE%Ɣh�����o���`���8y�������^�=�F=�5ƌ.P�L�zd�c\C������/�/����+G
{lƢZ�s
�-<�0B6� ř��<O�R����ӎ'J���=�w8^T�]�/��(��������>�n���[���?��I��~ό:
�{�����
����$��w�d�{)��
m�-��0���G�93�
�LJl�_A���Zġo�R�B��5������C�
R-�Fc�W%1��r4q��k���’43&:�C;8�e���5�
H��Z�����
L}�p^��Ja�O��jS�j�z�Ѡ wXɂ�΀)�0qAB�Y&S\�vD�R7iIA7�)f����חgF�)0VcŨ�b̌f�g��~����g|��3m��#�9��ݞ��b6���.���dM��I&���{*�䨮-�7��`���Z��
7�[�
�L�L��'"��-�G�}���X0�a��gcz!c�~a��H�	^�����%uh�A��X��s(��&�� Ӯp���v C���z��ƹ���Ն!
V�z4�z}5�؟(x�71��
�>�#NA�(�ǠD=%"ķ:Jԟ�U�jJ�)P���cP"N��� �HˌR����6ɤ(q=(Q�������$�Ou��{V1�r��0\��.)\��d���R3��q�)�):d%-L��R�D��5����K`�6̹
6k-r�Ҋ��+"d�c�����:�
 ��a&
��W�	�]$u
Vۛ=��p�Õ�w�oEͿE
��n����a9�7]B���7l<h�^w~�;d}P
+hIBHH�D
\Nx�
\�0!�e�X�E(���m7��/�ܜ�-3��yɎ��e�i ���%�i	X
iҷEb!t�U�Ģ��)/'�Q����z��,�����`�OV�M�
+5g΀�=��}#/�]�ㆾ;��x��Y��h`
k�/�kQ�!O��! iԚ,�%��ų��&po��_[`F����M���h�Aʁ�_D�G~��O���Eb�B�DKÎ9�aPF���&HH�n(��/���9�E����
!�܋g�?Z}m�R�2;/�v��Ɍ �j�������H��FX���� �=�p}R3�W:��dMH�A%��#�2�YQ_u�AY�}x�
\G&\\m�ӧ�K�K�@,h
p
�G��4t� An@�����R{�8p&	�E���=M�wB�_x�r��"�Q���6���V������N2�(h�F �{���H�
+���s㉮QN�J[�z�Y2���@&
��h�S�S�t�d��}�4X5���I̺K�2)��XR
Bϲ��O�2@8j���KP�ܠ�W�\��:@c �� ��
+�u��0}i�(Q��q at 6��0�5B}�?E�R=�{W�;	qԿ����c�������)��Q�mp+D@ܢ�ar���_cAT�c�q�%�o�ѳu�J������.����w
+�,�5��
G

Hݳ$KQ��үv��o
+V���q�︌��<��i
|��Ux�$��
�שr��H�C=�e�m��\��Y�w���� ����E�����?ƴ�ʈ�mh�'
��;�
ʺ�L��E+v~�g��'x����v|M]�����4
	�U�YJJ�e�����7��[y�0	
��^�&X����<
+��k15�߳�����i�SK��U�
N��HΣx.�ORI�DĻ��Eë9�?�ZU��%�[-[l	u��v��.g���q���%Y]��Z���CVp��V�����>����|�y���5�

��T]�w�
#{�y~יo� t<�wK�)�NJX�D47��L�{܏7
Z�"뢽�J9������l�"]��W�1����b��?��Lƈ�D�
��w
@F�\0 ܽ�}M�����1O�
E�� 6탏lh]����xN�竐r��	a�5��!�|
hX›��Ap��#8���42�
+j#dbaC�� ���#X8�
���D�Օ��Y�-����D̈́#�}�R�:��ޙ7@��u��]lt��g����X��gal/
��s��gI��W2��K_1Am�2�2
�A_�'{�V�T�0e�Ջ��t����z~�zP�������~lD�C�0BF�W%�c��D�T��;UY�??�o)2�_�T��Cp�y��i��oc
'�����m~���_YSW߲X�եG���Q��Y������2��!b�%k6��^�0�ོ�VD�E�x;�ŦL�ח����(/��
+7��mI�h���B�3�3P
+P5���f����P��{�8�x_�rs���W�6vX8-��/���:z<�&d@\	y��S�<(-�a�Z0<��^�W�<8��b�lﰦ
���%/�7P
�m*E�1D�����`n���|�cz���$$��,!�Ph
�ns���a7���3ė�4�y�Mh���ƫ�(�c�ni���{��
N�_i0���fߥ	S���?C�E�4=���e�?˧���`���"���]��ŠE�����v��`nE��I�[`��%�[��P��D��&o�endstream
 endobj
-2506 0 obj <<
+2717 0 obj <<
 /Type /Page
-/Contents 2507 0 R
-/Resources 2505 0 R
+/Contents 2718 0 R
+/Resources 2716 0 R
 /MediaBox [0 0 612 792]
-/Parent 2504 0 R
+/Parent 2715 0 R
 >> endobj
-2508 0 obj <<
-/D [2506 0 R /XYZ 72 720 null]
+2719 0 obj <<
+/D [2717 0 R /XYZ 72 720 null]
 >> endobj
-2509 0 obj <<
-/D [2506 0 R /XYZ 72 477.368 null]
+2720 0 obj <<
+/D [2717 0 R /XYZ 72 365.601 null]
 >> endobj
-2505 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F32 668 0 R /F67 564 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F76 747 0 R >>
+2716 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F38 1435 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2512 0 obj <<
-/Length 2197      
+2723 0 obj <<
+/Length 1698      
 /Filter /FlateDecode
 >>
 stream
-xڝXYo�8~ϯ0��I3"E]ٝ'F�0v���3�n�6��+�}-0�}� uIJ��C�(�*��Uߜ={y��G2J�Gg�G�:J�L����R�d $���_����$
'��H�L
����xnj
�R��
�Vk����]�Z�D��w(Z nVkt8�Mu�m�Y��9�[
�|$�
�F�;8o��Y#?Gk��ZI�ˌٯ֑;�.����R
�c��X�Ŧ9#�Tr$�HL����p�Pk�sg�L
T,";/"�ea0�{���8���E]�Ku�َ'���c��;\��I��l@�Nq�V�6p.}�oMi��5�iy���J�g2��~	�6%�1Ej�uB����T�2R!�]��xT������Z$�L5Q�t;���l�[)!����j
K
�	�����_�e��8�C��,j�K���=���_��?�W��;�W�=O�̏���2x�v���b�cw
seA��yrAa�雇��#
�A��y'ȡ{���c$�Ω �"������ps��Lƞ��,-ÿ�

(>��C�/s#~@g�  :���0AΎO�Ht}Q��ے',��b�Od!�z��#S"���Q�[:���
����8���'��SU
�_���I��'!5�l�wRu�o[^�(jp3+A��B��̙�5�}��J ..Z����?����8b@#̉�%�%=I�����E�6���o�%��j�@�4�šB�t��P�OI��u�<y
�O?�߻�CB�&n�@�Y��|�$@x�x��}j��ȩ\䉗�vL�p�Tfۛr�yEɏ�N&���6�=ŏ7
��1�2�d��-�:
-���,�MK�H�{S���v�3)�
?;�Iuy
�yɟ�
�
�EA:b���hl+c�9��}� �Q�
%�.���F�"�
�'����K
Ij�[���1y:���=R��
}
^0�@z�
RN5��lP��6�
-��z�7ʧ@����;�r5�GܳmjȻ=&�4pd����,%��7�6�\�,�-h�9
-�g��^b�p,��^�~|@H��i�b��0i��
���q�
b�5�s���Ő
�0Ok��O@ٝ� m1R�c�4�С�d��B�v�C6�5�ӂ��\qm�K��D �s��>�
-N"��ݫ�ĵΥHr5��/�"��`�
 ��%�PQGq��Ƕj��u���n��vL���z��Ɵ_q����c�L�ԞC���Co�	�塃�
���BJUZ-{Z>�}�� ���ũ�b�x�N���!-
�'F�T�,��a
:^RY
�(��*��I��r:��+�h�z�
d�#���R%P�@��B%O�+������*Ae�\(�}"�r�HS���?8?�l'
�]ث�j�����.[s��Q"�1�)4=���Z����]����D��^R51��A绥iF��ujsx=t
B��̱j,<#���Iͯ�=O��ɼe:a?
�e�kd
��\za�~��d��ܥ֥�
�
�x�Ϟ��|�;j�f��~u�DA�R!s��}e���]����&F����0����b��"
C͐��o��
��g,���C��wD����R
�戜@� �Y$J�Pq4��M

�&�QN�
-����:�\� G���� �ۢBE�V��
/
JG���@]��1� ��ַ!8�U�
LY��M��L ɚ���G��j�[�� ����[���E�:
�l]�^C�@G*a��Xp8�͐l�{ܘq��_�5�Ȕ�j
-�p�l^z5�>�
��*���H�H
�`n�N�X����\oK��I�?�Ȋ�|~u���
-�P;�g����
�(G��	���ow����
-�/W���D>��P�p�i� �p�@��T�'	�"�0 u����;�T�;�4���
V�$�+��p��A�~ە��q2��T@�a2�pc�E�\kKӚ�צc�:� `	`����b��q'���!c5�
�r��ye�]xbL�s
A�O09�j��+
�͞nS��}?t�
����ݐ`'�l�C�
���s�p���
p_�(�����r�.Ȁ�Oƌ|ݧ���P��&�s��
�uF�X���I�UvӒ_�l˙�F����jl�]@1�]3�ϱ}Y�fP�&��w7�n_��͵���ݷ��M�o�
WO��dR�-ۮ��^
�+�0"1[So�T<'��ue��_G �������)�1�J��Q1�h
-+B���ޝ=�
��endstream
+xڽK��D��_qrԍ��؎]�B+�*j�D9d�F͋u����o�{����I
���|��x�_?��1���Sk���|0��qV�Y��/����/��g�_�_�-N���U��0V ���~��o��`u8.�j+Xφ��ʓ�#��-	�Q�Hg%�	�
��H�
�h�A��m����kZ�X֚!沼�e�|�ܛ
+;�x#k��T$�� `=k�C��FE6N~
�9Iv���Y2[����`�|��^5D�5$䌏��(��Q���?��u
" �;`K��� LA�
��F�LmY����,��`�������;!
!�
���
�.�y��7(�"+�@�
-�u%�%i�ϝ��g�t�6�d:��<,�c���M�B(Z�\+��-�Ӡ #���y^�1	f���]U\`�0%�9A�=��0>\H�¾r�̽j+!+,q{ίM
82mN�vL^,|Nw
+�㫵��e�>S �OIW1�'�^��ɠ�q�;\t �I�1��Q�O�zۡ-,r�]����l��`B��Bķ�qLaU�u)d
+H�L��� ��}��D1
T	�H֦��7�ɠ�R87!�i�+�� ш�b�Y�	�V̽�ħ���3���'?~��M�O���+^���,�@�_��
����6t&Df! �	 �^�G���b���&kE�
�"���֗X��b�;�as�E��?���|Ľ€��aJ��ǔ�n콂
����t���$�f��SZ|��7|Ȑ�DډXC֪��1a:��b�V�xM�
C��_[0�uud���5g��Z?o�U>�����ʝ�UF�4[/�;]뭳��[���3�n�g���\��)�c9��R�F��F�wߐ?d�q���
+��vf<$2
�Z	
v�H;ʁ�5.s��
��c�!�v��
+e7d2�
+��F9}ƍ �QxD�>;U�
,�
�D�D��`���9���j�b�*[䰕�Rj\+ŖB�t���"�����v��M���9n}}$��n���]�?�Y
�>�D���[
D|�[7��w�8
�
����:�����a�	#G����pD�Ď8��*�����3�R�5Q
IE]%���FKRD��QW�'��Y4ai:diCL��f��h�ӛ�R��;?eK�*�d�P�|F�ԓ�s��ke��"��޳���2��޶���X�]�{f��M�~U�尲b\�qgU���4����'	�-�~� �����Ň{
�,5�_�B%&7��v,�qY�\~N�,� R�Z���dc�w.�tF�lgXy� j��r��ᝧ�OgN1��:\�Pe=b��dWB��5�;]�H)��yZ�B�N]aI�a{�N-�V��C����r|�[��J
ĹӺ��8
:�L���ds��z�|���H���]H���f�s?F
�\�
�]߀l��7N�o�{>����*���fyr��Vi��-=��Fݖ��?��h"B�nܭ8�e��{�Z��
+�qW-{|Պ�a���Z��o
�&���AŽ�c�{���Q���չ�"+�B������G0J��K���:
�:�����Ú�H��B�c��Ť��7���0iI5'��JQw3�
'?���W
��.�}c�{~܁W��2 at E�SH��"���'��.���ɍ�
@傐�#d0�FM+d=N�����]�zk#���(��j�o���a�XT5��$L��3EI�ڜ�����ڴ����t�1u��%v�:�*�-�
��_“�O�%4��endstream
 endobj
-2511 0 obj <<
+2722 0 obj <<
 /Type /Page
-/Contents 2512 0 R
-/Resources 2510 0 R
+/Contents 2723 0 R
+/Resources 2721 0 R
 /MediaBox [0 0 612 792]
-/Parent 2504 0 R
-/Annots [ 2516 0 R 2517 0 R 2518 0 R 2519 0 R 2520 0 R 2521 0 R 2522 0 R 2523 0 R 2524 0 R 2525 0 R 2526 0 R 2527 0 R 2528 0 R ]
->> endobj
-2516 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [323.831 452.536 357.755 466.484]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-2517 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [366.024 452.536 391.428 466.484]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-2518 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [403.4 452.536 437.254 466.484]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Huber81) >>
->> endobj
-2519 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [445.523 452.536 470.927 466.484]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Huber81) >>
->> endobj
-2520 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.467 452.536 540.996 466.484]
-/Subtype /Link
-/A << /S /GoTo /D (cite.White80) >>
->> endobj
-2521 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [104.821 438.09 130.225 452.038]
-/Subtype /Link
-/A << /S /GoTo /D (cite.White80) >>
->> endobj
-2522 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 326.509 501.89 340.457]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
->> endobj
-2523 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 326.509 533.192 340.457]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
->> endobj
-2524 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 310.237 540.996 322.856]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
->> endobj
-2525 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 295.127 175.918 309.074]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
->> endobj
-2526 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 295.127 207.784 309.074]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
->> endobj
-2527 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 184.043 273.869 197.991]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-2528 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 184.043 305.735 197.991]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
+/Parent 2715 0 R
 >> endobj
-2513 0 obj <<
-/D [2511 0 R /XYZ 72 720 null]
+2724 0 obj <<
+/D [2722 0 R /XYZ 72 720 null]
 >> endobj
-394 0 obj <<
-/D [2511 0 R /XYZ 72 720 null]
+390 0 obj <<
+/D [2722 0 R /XYZ 72 720 null]
 >> endobj
-2514 0 obj <<
-/D [2511 0 R /XYZ 72 604.176 null]
+2725 0 obj <<
+/D [2722 0 R /XYZ 72 567.943 null]
 >> endobj
-2515 0 obj <<
-/D [2511 0 R /XYZ 72 521.943 null]
+2726 0 obj <<
+/D [2722 0 R /XYZ 72 485.819 null]
 >> endobj
-2529 0 obj <<
-/D [2511 0 R /XYZ 72 146.808 null]
+1304 0 obj <<
+/D [2722 0 R /XYZ 72 312.442 null]
 >> endobj
-2530 0 obj <<
-/D [2511 0 R /XYZ 72 151.789 null]
+2727 0 obj <<
+/D [2722 0 R /XYZ 72 317.348 null]
 >> endobj
-2510 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F76 747 0 R >>
+2721 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2533 0 obj <<
-/Length 1281      
+2731 0 obj <<
+/Length 656       
 /Filter /FlateDecode
 >>
 stream
-xڭWKo�6��W9��Z�hɖ���b@E'�t{`$�&��W�'���΃�%��z���
9��|������2�$I�ʲ���$��H.��2Σ8R���e:˒T�j��>�Y
�wE��(��ۛ�r1Ofr�W$�u�VNOgs�u;�ɥ(u�#_
�0����v��0姙�h�U>Tm�I5�3��� �����)���F&��+�;f��xI1�g>y�
��w#
������U��
yk):��=�a�ivb�Nԟ�dQ�La���G
�詚��Y��{mH.UW;P'O�>�*Ր�-���俧Y*��
�]l3]��s��tL*�#
��ʋF�j����)�Ȅ���B櫕x2nˬ����&>ss���2���h\�Fi� �
-�VS����)yQ��|�
J��h �8<h
�/p��at�G�G+8ꏘ0
��?Lt(I�~�W(W�C�/��F��̰�,��;����\%g��`�0fM��E
�{	1
-���c��x}�g�>y
)D�V�F�җ���!h�{jP�_�ՠE�r���'�WSz��._S�t���rP�ig
Ǫ4���N7�1���.���'�cJ�ȿ�m�̪��Lœ�p��ŅN�����}��Z�X������
���
��ѫ�d�>���	�z�=߫�
�Ux�y�F�^����d4���J�[�lر�Wc8�y��4OB�éz
��%�(�˓�(�+�7�i��m!J�Z1��r1��d�o �U��̧�"�*P�-��Pĸ���N~Ԛ�A

�� ������������_��w��
-�
�q.�o(�J%ɡhp���DҖ�e��
gr���:�-:͕�r�d9�A��<n����";���5��LU��cT�(Z fy���g�NuV���}c�E���כ���t!3����
v\�h��Jc�γ+�͢���f�%�'��<�:�^@��z1��#A&G��k���u� ��*+���<�
��#`�Bǹ����mֿy�ғডͧ!�H9��ǽ�L3)��sFR ))�H�x����ѩ.^�����{d�=s�ϡ�`}�������\���:���&ݪ
)�.�Y��%*����W
��7�
� 
2��Laj4λ���#<0dL�̵�S
L��
���
@c�F����1*�#����@
���E�+�/E���R��Ž�����a��0| �u߁
�e�A��
��~8�R!4���_���d��r1�-��c��A�
_}���z�"endstream
+xڭVMo1�ﯰ*��u��z�E���E !�Rn�!I��&)�_��
o��
��ݏ�������e/�\Cä�֬7fRH�fFt����ݗ��h^�|��xm�KQB���	>�
+��[|��	w>c���]�6{��v�����8����u���s-���4��
N�r_8�2�
+��F��
��HO�UH��u�q��p��ϴ�����Wfie1J��b��xUխ��
���]]	7�	�(ke���`
*Da��������S)[�&}荫���a��o��@���'{�|��y��cP���'
���!���2\5GEmI�Pv�_;��g����2��RP�e)�'&+���
B	�l��� �S��D{���'
�P�<*o�ȱnJ~,�n[�6=��5oT��M/85 ��LuӖ}l���<���$�q�o�D�I:x�8�a:���94<���?`ğ�F�=Cg���T��ib�
�N [��	%��3�
�gʒ��]��.qH�ӣ�A<���p�P��V^�W�]��g�x
+�$߄F�5!oG�Zhc'�ԍ�-����"jMv��$�G0�$�pV
+p
7F��,c+&x���ω�1�j���q��_d��m�e .#�ˣL�1
�dܔ �T�2��i�Tendstream
 endobj
-2532 0 obj <<
+2730 0 obj <<
 /Type /Page
-/Contents 2533 0 R
-/Resources 2531 0 R
+/Contents 2731 0 R
+/Resources 2729 0 R
 /MediaBox [0 0 612 792]
-/Parent 2504 0 R
-/Annots [ 2536 0 R ]
+/Parent 2715 0 R
 >> endobj
-2536 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [425.116 362.341 432.961 376.289]
-/Subtype /Link
-/A << /S /GoTo /D (Item.166) >>
->> endobj
-2534 0 obj <<
-/D [2532 0 R /XYZ 72 720 null]
->> endobj
-2535 0 obj <<
-/D [2532 0 R /XYZ 72 402.524 null]
+2728 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/mlogit-TernaryPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2733 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2734 0 R /F2 2735 0 R >>
+/ExtGState <<
+>>>>
+/Length 2736 0 R
+>>
+stream
+q
+Q q -216.00 -216.00 864.00 864.00 re W n
+Q q -216.00 -216.00 864.00 864.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 18.00 0.00 -0.00 18.00 76.21 382.34 Tm (1988 Mexican Presidential Election) Tj
+ET
+1.000 1.000 1.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+  43.20 43.20 m
+  216.00 342.50 l
+  388.80 43.20 l
+b
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 22.36 31.98 Tm (Pr\(Y=1\)) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 367.96 31.98 Tm (Pr\(Y=2\)) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 195.16 345.10 Tm (Pr\(Y=3\)) Tj
+ET
+0.745 0.745 0.745 RG
+0.75 w
+[ 0.00 4.00] 0 d
+319.68 43.20 m
+181.44 282.64 l
+S
+319.68 43.20 m
+354.24 103.06 l
+S
+77.76 103.06 m
+354.24 103.06 l
+S
+BT
+0.663 0.663 0.663 rg
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 255.00 157.85 Tm (0.2) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 340.86 79.05 Tm (0.8) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 102.21 Tm (0.2) Tj
+ET
+250.56 43.20 m
+146.88 222.78 l
+S
+250.56 43.20 m
+319.68 162.92 l
+S
+112.32 162.92 m
+319.68 162.92 l
+S
+BT
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 203.16 127.92 Tm (0.4) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 289.02 108.98 Tm (0.6) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 162.07 Tm (0.4) Tj
+ET
+181.44 43.20 m
+112.32 162.92 l
+S
+181.44 43.20 m
+285.12 222.78 l
+S
+146.88 222.78 m
+285.12 222.78 l
+S
+BT
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 151.32 97.99 Tm (0.6) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 237.18 138.91 Tm (0.4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 221.93 Tm (0.6) Tj
+ET
+112.32 43.20 m
+77.76 103.06 l
+S
+112.32 43.20 m
+250.56 282.64 l
+S
+181.44 282.64 m
+250.56 282.64 l
+S
+BT
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 99.48 68.06 Tm (0.8) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 185.34 168.84 Tm (0.2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 281.79 Tm (0.8) Tj
+ET
+0.000 0.000 1.000 rg
+109.36 90.54 1.00 1.00 re f
+115.25 106.56 1.00 1.00 re f
+100.47 93.14 1.00 1.00 re f
+113.94 86.24 1.00 1.00 re f
+113.27 90.51 1.00 1.00 re f
+118.49 91.55 1.00 1.00 re f
+108.83 88.79 1.00 1.00 re f
+119.41 97.77 1.00 1.00 re f
+113.81 89.76 1.00 1.00 re f
+109.77 92.53 1.00 1.00 re f
+115.92 87.97 1.00 1.00 re f
+112.98 88.57 1.00 1.00 re f
+119.96 91.94 1.00 1.00 re f
+107.71 82.05 1.00 1.00 re f
+118.66 93.87 1.00 1.00 re f
+114.58 91.10 1.00 1.00 re f
+116.82 92.38 1.00 1.00 re f
+118.67 93.84 1.00 1.00 re f
+114.37 93.09 1.00 1.00 re f
+111.87 88.97 1.00 1.00 re f
+105.09 82.29 1.00 1.00 re f
+120.23 91.81 1.00 1.00 re f
+120.26 91.00 1.00 1.00 re f
+119.65 100.12 1.00 1.00 re f
+114.30 85.40 1.00 1.00 re f
+123.51 92.07 1.00 1.00 re f
+120.26 87.72 1.00 1.00 re f
+119.58 95.94 1.00 1.00 re f
+118.41 98.17 1.00 1.00 re f
+119.04 96.34 1.00 1.00 re f
+121.96 88.37 1.00 1.00 re f
+108.99 89.40 1.00 1.00 re f
+116.98 91.99 1.00 1.00 re f
+108.94 84.42 1.00 1.00 re f
+121.05 83.41 1.00 1.00 re f
+117.34 88.68 1.00 1.00 re f
+108.51 84.01 1.00 1.00 re f
+105.57 85.66 1.00 1.00 re f
+107.54 86.64 1.00 1.00 re f
+110.57 84.07 1.00 1.00 re f
+116.76 87.69 1.00 1.00 re f
+118.17 90.63 1.00 1.00 re f
+116.72 93.55 1.00 1.00 re f
+116.82 83.80 1.00 1.00 re f
+115.14 92.46 1.00 1.00 re f
+107.02 84.19 1.00 1.00 re f
+110.02 89.14 1.00 1.00 re f
+121.76 88.35 1.00 1.00 re f
+123.36 94.55 1.00 1.00 re f
+111.20 96.43 1.00 1.00 re f
+117.83 90.61 1.00 1.00 re f
+113.31 94.78 1.00 1.00 re f
+115.77 80.40 1.00 1.00 re f
+127.65 94.38 1.00 1.00 re f
+118.84 91.67 1.00 1.00 re f
+117.94 91.82 1.00 1.00 re f
+122.72 94.86 1.00 1.00 re f
+114.82 96.23 1.00 1.00 re f
+121.52 101.75 1.00 1.00 re f
+112.56 88.15 1.00 1.00 re f
+112.65 88.82 1.00 1.00 re f
+106.85 85.04 1.00 1.00 re f
+111.68 86.97 1.00 1.00 re f
+114.34 92.03 1.00 1.00 re f
+104.10 87.72 1.00 1.00 re f
+113.20 87.13 1.00 1.00 re f
+119.85 84.09 1.00 1.00 re f
+116.28 91.79 1.00 1.00 re f
+112.40 89.07 1.00 1.00 re f
+116.90 88.02 1.00 1.00 re f
+111.65 87.57 1.00 1.00 re f
+113.59 92.32 1.00 1.00 re f
+117.23 95.42 1.00 1.00 re f
+118.60 90.70 1.00 1.00 re f
+116.60 90.75 1.00 1.00 re f
+107.38 86.08 1.00 1.00 re f
+109.88 88.97 1.00 1.00 re f
+112.34 97.18 1.00 1.00 re f
+109.03 92.87 1.00 1.00 re f
+112.74 84.39 1.00 1.00 re f
+111.51 86.65 1.00 1.00 re f
+110.49 85.45 1.00 1.00 re f
+109.93 88.40 1.00 1.00 re f
+113.87 87.06 1.00 1.00 re f
+110.04 77.37 1.00 1.00 re f
+110.04 89.09 1.00 1.00 re f
+109.94 80.61 1.00 1.00 re f
+115.68 85.17 1.00 1.00 re f
+108.49 88.45 1.00 1.00 re f
+118.99 93.64 1.00 1.00 re f
+122.16 95.38 1.00 1.00 re f
+119.47 91.17 1.00 1.00 re f
+109.90 84.66 1.00 1.00 re f
+107.34 86.68 1.00 1.00 re f
+113.25 91.46 1.00 1.00 re f
+108.60 87.18 1.00 1.00 re f
+106.81 84.08 1.00 1.00 re f
+103.68 82.96 1.00 1.00 re f
+114.88 97.32 1.00 1.00 re f
+111.03 88.62 1.00 1.00 re f
+103.35 96.11 1.00 1.00 re f
+113.40 89.49 1.00 1.00 re f
+115.32 96.85 1.00 1.00 re f
+120.21 91.16 1.00 1.00 re f
+112.12 93.38 1.00 1.00 re f
+107.02 88.35 1.00 1.00 re f
+117.37 85.49 1.00 1.00 re f
+113.05 95.67 1.00 1.00 re f
+113.52 87.19 1.00 1.00 re f
+107.64 81.86 1.00 1.00 re f
+99.50 82.70 1.00 1.00 re f
+112.80 80.65 1.00 1.00 re f
+125.37 89.68 1.00 1.00 re f
+116.74 97.71 1.00 1.00 re f
+115.67 92.64 1.00 1.00 re f
+111.14 92.60 1.00 1.00 re f
+107.47 85.81 1.00 1.00 re f
+106.65 94.89 1.00 1.00 re f
+111.57 83.67 1.00 1.00 re f
+114.20 83.62 1.00 1.00 re f
+111.89 84.61 1.00 1.00 re f
+115.64 89.65 1.00 1.00 re f
+112.52 99.62 1.00 1.00 re f
+107.85 87.09 1.00 1.00 re f
+118.09 94.90 1.00 1.00 re f
+112.54 95.09 1.00 1.00 re f
+110.22 85.32 1.00 1.00 re f
+113.33 97.08 1.00 1.00 re f
+114.21 80.69 1.00 1.00 re f
+108.17 89.09 1.00 1.00 re f
+118.42 86.57 1.00 1.00 re f
+111.77 84.63 1.00 1.00 re f
+119.81 92.37 1.00 1.00 re f
+105.94 87.36 1.00 1.00 re f
+115.93 83.73 1.00 1.00 re f
+113.96 99.66 1.00 1.00 re f
+111.34 92.55 1.00 1.00 re f
+111.36 90.26 1.00 1.00 re f
+115.06 90.53 1.00 1.00 re f
+103.95 80.99 1.00 1.00 re f
+110.81 88.01 1.00 1.00 re f
+115.52 94.05 1.00 1.00 re f
+118.54 93.72 1.00 1.00 re f
+106.16 84.15 1.00 1.00 re f
+114.12 84.34 1.00 1.00 re f
+116.66 87.86 1.00 1.00 re f
+113.54 94.48 1.00 1.00 re f
+114.33 93.77 1.00 1.00 re f
+123.34 97.42 1.00 1.00 re f
+111.42 87.95 1.00 1.00 re f
+111.70 82.84 1.00 1.00 re f
+108.74 89.92 1.00 1.00 re f
+113.84 95.08 1.00 1.00 re f
+110.54 91.38 1.00 1.00 re f
+127.22 98.09 1.00 1.00 re f
+124.79 94.05 1.00 1.00 re f
+113.10 89.87 1.00 1.00 re f
+118.01 91.71 1.00 1.00 re f
+117.93 82.20 1.00 1.00 re f
+116.82 92.07 1.00 1.00 re f
+104.48 86.03 1.00 1.00 re f
+106.03 83.33 1.00 1.00 re f
+109.70 93.40 1.00 1.00 re f
+112.26 83.41 1.00 1.00 re f
+111.54 92.68 1.00 1.00 re f
+116.54 94.27 1.00 1.00 re f
+110.69 102.06 1.00 1.00 re f
+117.05 86.14 1.00 1.00 re f
+118.68 95.69 1.00 1.00 re f
+110.34 96.33 1.00 1.00 re f
+120.43 86.64 1.00 1.00 re f
+117.42 89.24 1.00 1.00 re f
+109.06 91.54 1.00 1.00 re f
+119.85 86.30 1.00 1.00 re f
+113.17 86.03 1.00 1.00 re f
+116.09 85.86 1.00 1.00 re f
+123.02 97.70 1.00 1.00 re f
+116.98 98.74 1.00 1.00 re f
+116.50 83.44 1.00 1.00 re f
+109.94 92.59 1.00 1.00 re f
+110.67 95.10 1.00 1.00 re f
+106.72 87.87 1.00 1.00 re f
+120.25 89.68 1.00 1.00 re f
+115.13 86.64 1.00 1.00 re f
+113.79 95.05 1.00 1.00 re f
+124.55 90.16 1.00 1.00 re f
+124.93 87.99 1.00 1.00 re f
+115.60 92.85 1.00 1.00 re f
+114.64 100.02 1.00 1.00 re f
+115.52 89.94 1.00 1.00 re f
+111.38 95.19 1.00 1.00 re f
+115.80 88.27 1.00 1.00 re f
+114.45 88.78 1.00 1.00 re f
+110.73 80.84 1.00 1.00 re f
+115.70 102.53 1.00 1.00 re f
+109.29 84.31 1.00 1.00 re f
+117.21 94.31 1.00 1.00 re f
+126.46 102.08 1.00 1.00 re f
+114.98 81.48 1.00 1.00 re f
+113.99 92.06 1.00 1.00 re f
+117.70 99.09 1.00 1.00 re f
+111.74 90.87 1.00 1.00 re f
+117.16 89.46 1.00 1.00 re f
+107.72 89.12 1.00 1.00 re f
+118.25 85.15 1.00 1.00 re f
+116.97 95.96 1.00 1.00 re f
+104.83 93.62 1.00 1.00 re f
+113.40 80.51 1.00 1.00 re f
+118.92 90.36 1.00 1.00 re f
+105.99 88.84 1.00 1.00 re f
+108.15 95.21 1.00 1.00 re f
+116.72 91.44 1.00 1.00 re f
+121.52 94.65 1.00 1.00 re f
+114.33 88.08 1.00 1.00 re f
+115.06 89.85 1.00 1.00 re f
+109.77 97.01 1.00 1.00 re f
+108.24 86.43 1.00 1.00 re f
+119.51 93.20 1.00 1.00 re f
+111.78 90.45 1.00 1.00 re f
+111.08 93.84 1.00 1.00 re f
+115.80 94.08 1.00 1.00 re f
+114.48 90.00 1.00 1.00 re f
+114.68 84.50 1.00 1.00 re f
+116.36 92.64 1.00 1.00 re f
+107.91 91.69 1.00 1.00 re f
+115.06 87.10 1.00 1.00 re f
+115.51 91.54 1.00 1.00 re f
+109.20 90.05 1.00 1.00 re f
+109.22 89.13 1.00 1.00 re f
+114.01 84.54 1.00 1.00 re f
+126.65 83.36 1.00 1.00 re f
+120.85 84.43 1.00 1.00 re f
+109.73 89.17 1.00 1.00 re f
+106.26 85.02 1.00 1.00 re f
+124.62 95.00 1.00 1.00 re f
+111.74 96.26 1.00 1.00 re f
+123.45 93.42 1.00 1.00 re f
+105.91 86.74 1.00 1.00 re f
+108.90 86.04 1.00 1.00 re f
+114.77 87.90 1.00 1.00 re f
+110.56 91.47 1.00 1.00 re f
+116.03 87.59 1.00 1.00 re f
+111.36 84.08 1.00 1.00 re f
+115.06 87.51 1.00 1.00 re f
+112.49 93.59 1.00 1.00 re f
+107.90 87.17 1.00 1.00 re f
+117.72 85.68 1.00 1.00 re f
+114.73 93.43 1.00 1.00 re f
+115.15 101.92 1.00 1.00 re f
+121.89 86.65 1.00 1.00 re f
+106.64 81.20 1.00 1.00 re f
+109.05 88.35 1.00 1.00 re f
+108.03 93.94 1.00 1.00 re f
+113.06 95.54 1.00 1.00 re f
+107.78 85.25 1.00 1.00 re f
+116.21 86.37 1.00 1.00 re f
+115.71 102.66 1.00 1.00 re f
+114.50 92.98 1.00 1.00 re f
+118.93 101.06 1.00 1.00 re f
+115.61 94.22 1.00 1.00 re f
+116.20 86.57 1.00 1.00 re f
+117.88 85.44 1.00 1.00 re f
+119.79 85.32 1.00 1.00 re f
+112.41 89.01 1.00 1.00 re f
+125.98 92.12 1.00 1.00 re f
+119.33 89.44 1.00 1.00 re f
+115.46 92.49 1.00 1.00 re f
+110.64 84.78 1.00 1.00 re f
+107.90 90.26 1.00 1.00 re f
+117.63 94.10 1.00 1.00 re f
+110.14 91.94 1.00 1.00 re f
+120.11 95.36 1.00 1.00 re f
+107.93 91.24 1.00 1.00 re f
+115.80 88.91 1.00 1.00 re f
+118.52 91.44 1.00 1.00 re f
+111.10 87.00 1.00 1.00 re f
+102.07 85.30 1.00 1.00 re f
+114.06 94.11 1.00 1.00 re f
+114.24 94.96 1.00 1.00 re f
+128.18 93.79 1.00 1.00 re f
+111.01 91.93 1.00 1.00 re f
+124.27 92.71 1.00 1.00 re f
+119.33 85.94 1.00 1.00 re f
+114.63 88.09 1.00 1.00 re f
+110.55 92.10 1.00 1.00 re f
+107.88 85.91 1.00 1.00 re f
+108.66 80.74 1.00 1.00 re f
+114.90 90.98 1.00 1.00 re f
+105.09 87.80 1.00 1.00 re f
+109.35 86.72 1.00 1.00 re f
+107.43 89.14 1.00 1.00 re f
+109.83 84.80 1.00 1.00 re f
+109.04 86.49 1.00 1.00 re f
+116.39 96.10 1.00 1.00 re f
+125.57 99.25 1.00 1.00 re f
+115.19 91.47 1.00 1.00 re f
+116.13 92.23 1.00 1.00 re f
+116.48 86.28 1.00 1.00 re f
+127.20 102.18 1.00 1.00 re f
+124.37 89.10 1.00 1.00 re f
+115.91 89.05 1.00 1.00 re f
+109.37 93.82 1.00 1.00 re f
+115.01 84.55 1.00 1.00 re f
+112.67 88.75 1.00 1.00 re f
+112.68 93.83 1.00 1.00 re f
+108.25 95.88 1.00 1.00 re f
+107.60 87.20 1.00 1.00 re f
+120.66 95.81 1.00 1.00 re f
+111.03 87.71 1.00 1.00 re f
+119.74 89.00 1.00 1.00 re f
+112.67 92.29 1.00 1.00 re f
+118.10 95.06 1.00 1.00 re f
+115.90 90.17 1.00 1.00 re f
+109.34 92.40 1.00 1.00 re f
+117.84 85.49 1.00 1.00 re f
+107.20 87.40 1.00 1.00 re f
+119.75 97.02 1.00 1.00 re f
+110.00 82.48 1.00 1.00 re f
+121.90 92.79 1.00 1.00 re f
+116.63 91.85 1.00 1.00 re f
+108.24 87.27 1.00 1.00 re f
+109.37 95.38 1.00 1.00 re f
+115.80 84.34 1.00 1.00 re f
+114.45 89.87 1.00 1.00 re f
+115.11 88.66 1.00 1.00 re f
+111.70 90.64 1.00 1.00 re f
+119.63 80.98 1.00 1.00 re f
+118.04 90.51 1.00 1.00 re f
+110.23 89.88 1.00 1.00 re f
+134.72 91.07 1.00 1.00 re f
+113.98 95.07 1.00 1.00 re f
+125.66 99.87 1.00 1.00 re f
+126.78 101.62 1.00 1.00 re f
+125.31 91.08 1.00 1.00 re f
+111.35 81.72 1.00 1.00 re f
+116.89 85.11 1.00 1.00 re f
+111.71 86.93 1.00 1.00 re f
+116.02 97.93 1.00 1.00 re f
+108.09 86.30 1.00 1.00 re f
+114.79 88.54 1.00 1.00 re f
+114.94 92.05 1.00 1.00 re f
+121.89 87.53 1.00 1.00 re f
+109.44 88.39 1.00 1.00 re f
+116.35 92.87 1.00 1.00 re f
+113.20 91.36 1.00 1.00 re f
+104.36 83.51 1.00 1.00 re f
+117.89 89.73 1.00 1.00 re f
+112.35 86.86 1.00 1.00 re f
+108.96 90.74 1.00 1.00 re f
+127.57 92.62 1.00 1.00 re f
+110.24 94.92 1.00 1.00 re f
+111.88 91.84 1.00 1.00 re f
+118.99 94.84 1.00 1.00 re f
+114.88 91.39 1.00 1.00 re f
+113.34 84.49 1.00 1.00 re f
+121.26 96.89 1.00 1.00 re f
+121.98 96.89 1.00 1.00 re f
+111.48 87.28 1.00 1.00 re f
+114.29 89.30 1.00 1.00 re f
+108.95 94.10 1.00 1.00 re f
+117.69 93.25 1.00 1.00 re f
+123.97 99.71 1.00 1.00 re f
+119.61 93.22 1.00 1.00 re f
+121.63 96.80 1.00 1.00 re f
+108.21 91.07 1.00 1.00 re f
+110.04 87.76 1.00 1.00 re f
+102.86 73.87 1.00 1.00 re f
+117.38 87.23 1.00 1.00 re f
+114.97 87.39 1.00 1.00 re f
+109.90 87.09 1.00 1.00 re f
+113.45 93.58 1.00 1.00 re f
+124.54 94.97 1.00 1.00 re f
+111.72 86.44 1.00 1.00 re f
+121.99 90.99 1.00 1.00 re f
+107.05 87.36 1.00 1.00 re f
+105.23 83.56 1.00 1.00 re f
+109.11 84.43 1.00 1.00 re f
+107.09 88.29 1.00 1.00 re f
+112.30 100.39 1.00 1.00 re f
+112.76 87.29 1.00 1.00 re f
+120.49 89.87 1.00 1.00 re f
+111.74 92.00 1.00 1.00 re f
+113.84 95.98 1.00 1.00 re f
+117.67 105.48 1.00 1.00 re f
+111.09 89.57 1.00 1.00 re f
+109.69 87.07 1.00 1.00 re f
+107.94 87.15 1.00 1.00 re f
+113.52 90.91 1.00 1.00 re f
+107.61 85.00 1.00 1.00 re f
+105.63 89.04 1.00 1.00 re f
+109.73 89.38 1.00 1.00 re f
+117.55 98.13 1.00 1.00 re f
+109.24 85.77 1.00 1.00 re f
+106.99 89.61 1.00 1.00 re f
+105.63 80.68 1.00 1.00 re f
+125.11 97.44 1.00 1.00 re f
+115.54 89.82 1.00 1.00 re f
+106.32 83.36 1.00 1.00 re f
+108.40 89.85 1.00 1.00 re f
+111.85 91.52 1.00 1.00 re f
+109.98 84.10 1.00 1.00 re f
+120.22 90.73 1.00 1.00 re f
+110.42 87.07 1.00 1.00 re f
+108.81 89.35 1.00 1.00 re f
+117.65 85.05 1.00 1.00 re f
+110.47 92.26 1.00 1.00 re f
+117.41 97.78 1.00 1.00 re f
+120.44 93.97 1.00 1.00 re f
+113.60 82.52 1.00 1.00 re f
+116.13 85.96 1.00 1.00 re f
+110.56 99.25 1.00 1.00 re f
+115.43 91.46 1.00 1.00 re f
+113.70 87.54 1.00 1.00 re f
+105.72 90.50 1.00 1.00 re f
+129.96 89.55 1.00 1.00 re f
+109.07 86.12 1.00 1.00 re f
+112.86 87.57 1.00 1.00 re f
+112.10 85.01 1.00 1.00 re f
+113.76 82.59 1.00 1.00 re f
+110.84 86.01 1.00 1.00 re f
+105.42 87.10 1.00 1.00 re f
+109.70 88.40 1.00 1.00 re f
+108.90 89.00 1.00 1.00 re f
+116.34 88.78 1.00 1.00 re f
+111.16 87.53 1.00 1.00 re f
+106.31 89.91 1.00 1.00 re f
+113.90 97.96 1.00 1.00 re f
+110.49 83.02 1.00 1.00 re f
+112.71 88.76 1.00 1.00 re f
+119.58 92.77 1.00 1.00 re f
+119.68 89.79 1.00 1.00 re f
+112.90 88.91 1.00 1.00 re f
+119.67 88.31 1.00 1.00 re f
+115.29 91.87 1.00 1.00 re f
+110.49 96.57 1.00 1.00 re f
+112.63 84.53 1.00 1.00 re f
+107.83 89.45 1.00 1.00 re f
+117.62 95.20 1.00 1.00 re f
+119.25 88.88 1.00 1.00 re f
+126.91 86.50 1.00 1.00 re f
+119.96 98.80 1.00 1.00 re f
+111.21 87.88 1.00 1.00 re f
+112.15 88.00 1.00 1.00 re f
+114.56 94.67 1.00 1.00 re f
+110.72 95.33 1.00 1.00 re f
+119.78 97.19 1.00 1.00 re f
+120.13 96.02 1.00 1.00 re f
+102.42 85.70 1.00 1.00 re f
+108.85 87.64 1.00 1.00 re f
+122.38 93.39 1.00 1.00 re f
+116.40 87.34 1.00 1.00 re f
+116.18 89.47 1.00 1.00 re f
+109.75 87.95 1.00 1.00 re f
+113.88 93.44 1.00 1.00 re f
+115.62 88.65 1.00 1.00 re f
+119.45 87.81 1.00 1.00 re f
+123.21 89.87 1.00 1.00 re f
+102.11 87.06 1.00 1.00 re f
+118.93 88.43 1.00 1.00 re f
+111.46 91.02 1.00 1.00 re f
+109.85 84.84 1.00 1.00 re f
+128.17 98.10 1.00 1.00 re f
+109.97 91.37 1.00 1.00 re f
+120.33 99.59 1.00 1.00 re f
+110.24 88.20 1.00 1.00 re f
+124.51 96.06 1.00 1.00 re f
+117.84 98.98 1.00 1.00 re f
+106.16 82.44 1.00 1.00 re f
+107.14 82.57 1.00 1.00 re f
+117.67 88.70 1.00 1.00 re f
+123.23 102.65 1.00 1.00 re f
+122.76 94.83 1.00 1.00 re f
+102.00 85.04 1.00 1.00 re f
+108.88 86.43 1.00 1.00 re f
+117.08 90.19 1.00 1.00 re f
+119.93 100.32 1.00 1.00 re f
+118.16 96.16 1.00 1.00 re f
+116.84 94.47 1.00 1.00 re f
+109.83 78.26 1.00 1.00 re f
+119.99 95.44 1.00 1.00 re f
+116.02 87.85 1.00 1.00 re f
+119.12 94.02 1.00 1.00 re f
+116.35 95.06 1.00 1.00 re f
+116.56 86.86 1.00 1.00 re f
+111.59 93.32 1.00 1.00 re f
+121.31 95.33 1.00 1.00 re f
+111.04 91.06 1.00 1.00 re f
+122.13 92.13 1.00 1.00 re f
+110.17 85.39 1.00 1.00 re f
+110.45 83.52 1.00 1.00 re f
+109.37 83.60 1.00 1.00 re f
+116.39 87.16 1.00 1.00 re f
+118.82 89.74 1.00 1.00 re f
+105.05 80.28 1.00 1.00 re f
+114.43 85.77 1.00 1.00 re f
+108.43 85.70 1.00 1.00 re f
+121.77 98.26 1.00 1.00 re f
+117.35 93.82 1.00 1.00 re f
+123.65 86.38 1.00 1.00 re f
+109.60 91.48 1.00 1.00 re f
+117.77 98.26 1.00 1.00 re f
+119.38 90.23 1.00 1.00 re f
+114.57 89.32 1.00 1.00 re f
+108.93 84.12 1.00 1.00 re f
+119.88 103.19 1.00 1.00 re f
+118.60 89.78 1.00 1.00 re f
+118.72 83.08 1.00 1.00 re f
+106.40 86.65 1.00 1.00 re f
+114.52 90.99 1.00 1.00 re f
+113.70 91.17 1.00 1.00 re f
+107.59 93.66 1.00 1.00 re f
+113.68 87.21 1.00 1.00 re f
+112.78 89.43 1.00 1.00 re f
+113.90 83.96 1.00 1.00 re f
+115.33 84.14 1.00 1.00 re f
+123.47 94.00 1.00 1.00 re f
+121.05 90.37 1.00 1.00 re f
+102.98 92.08 1.00 1.00 re f
+112.89 88.30 1.00 1.00 re f
+113.07 91.63 1.00 1.00 re f
+113.65 88.30 1.00 1.00 re f
+114.89 92.43 1.00 1.00 re f
+124.03 85.69 1.00 1.00 re f
+110.98 82.79 1.00 1.00 re f
+101.73 77.24 1.00 1.00 re f
+112.95 94.18 1.00 1.00 re f
+124.26 88.41 1.00 1.00 re f
+118.07 96.69 1.00 1.00 re f
+114.55 85.91 1.00 1.00 re f
+117.71 90.03 1.00 1.00 re f
+109.93 90.00 1.00 1.00 re f
+120.36 98.89 1.00 1.00 re f
+108.12 91.17 1.00 1.00 re f
+120.60 88.11 1.00 1.00 re f
+117.51 84.90 1.00 1.00 re f
+110.37 103.14 1.00 1.00 re f
+112.95 90.21 1.00 1.00 re f
+114.03 83.63 1.00 1.00 re f
+116.14 83.13 1.00 1.00 re f
+104.12 86.55 1.00 1.00 re f
+106.69 89.20 1.00 1.00 re f
+114.64 88.69 1.00 1.00 re f
+119.62 91.00 1.00 1.00 re f
+113.14 91.14 1.00 1.00 re f
+113.09 97.25 1.00 1.00 re f
+114.74 95.19 1.00 1.00 re f
+110.60 89.92 1.00 1.00 re f
+122.82 94.24 1.00 1.00 re f
+126.28 93.67 1.00 1.00 re f
+116.13 89.23 1.00 1.00 re f
+112.36 85.15 1.00 1.00 re f
+125.44 88.45 1.00 1.00 re f
+115.50 91.75 1.00 1.00 re f
+128.54 96.22 1.00 1.00 re f
+120.24 95.59 1.00 1.00 re f
+106.57 94.72 1.00 1.00 re f
+117.21 89.88 1.00 1.00 re f
+115.98 85.28 1.00 1.00 re f
+107.52 93.58 1.00 1.00 re f
+109.08 83.41 1.00 1.00 re f
+121.28 94.53 1.00 1.00 re f
+108.22 86.97 1.00 1.00 re f
+122.01 86.97 1.00 1.00 re f
+109.70 91.46 1.00 1.00 re f
+105.89 81.91 1.00 1.00 re f
+100.92 84.17 1.00 1.00 re f
+124.86 88.77 1.00 1.00 re f
+112.02 83.06 1.00 1.00 re f
+115.87 89.63 1.00 1.00 re f
+117.22 96.92 1.00 1.00 re f
+109.59 88.91 1.00 1.00 re f
+107.95 88.19 1.00 1.00 re f
+117.11 96.52 1.00 1.00 re f
+125.90 92.42 1.00 1.00 re f
+109.05 86.83 1.00 1.00 re f
+110.12 88.31 1.00 1.00 re f
+111.27 92.32 1.00 1.00 re f
+107.53 84.94 1.00 1.00 re f
+109.72 95.42 1.00 1.00 re f
+111.60 87.44 1.00 1.00 re f
+123.18 94.99 1.00 1.00 re f
+113.13 91.68 1.00 1.00 re f
+120.21 84.78 1.00 1.00 re f
+119.19 93.85 1.00 1.00 re f
+114.93 84.85 1.00 1.00 re f
+116.27 86.17 1.00 1.00 re f
+107.72 90.63 1.00 1.00 re f
+120.80 96.08 1.00 1.00 re f
+115.37 96.30 1.00 1.00 re f
+118.80 89.10 1.00 1.00 re f
+123.47 94.16 1.00 1.00 re f
+111.81 89.86 1.00 1.00 re f
+107.30 88.91 1.00 1.00 re f
+116.79 95.23 1.00 1.00 re f
+116.90 87.26 1.00 1.00 re f
+112.21 88.04 1.00 1.00 re f
+113.95 87.98 1.00 1.00 re f
+110.34 81.47 1.00 1.00 re f
+119.81 92.11 1.00 1.00 re f
+117.53 93.43 1.00 1.00 re f
+110.18 87.26 1.00 1.00 re f
+100.54 93.45 1.00 1.00 re f
+116.74 95.08 1.00 1.00 re f
+109.61 78.93 1.00 1.00 re f
+113.69 94.96 1.00 1.00 re f
+116.46 89.03 1.00 1.00 re f
+111.98 89.86 1.00 1.00 re f
+113.20 91.05 1.00 1.00 re f
+116.54 96.29 1.00 1.00 re f
+116.09 84.91 1.00 1.00 re f
+120.51 92.49 1.00 1.00 re f
+117.25 90.77 1.00 1.00 re f
+116.20 92.85 1.00 1.00 re f
+113.64 90.34 1.00 1.00 re f
+112.82 90.77 1.00 1.00 re f
+115.61 89.80 1.00 1.00 re f
+115.66 85.33 1.00 1.00 re f
+124.46 91.60 1.00 1.00 re f
+120.82 92.36 1.00 1.00 re f
+107.44 91.03 1.00 1.00 re f
+113.06 92.60 1.00 1.00 re f
+114.80 95.16 1.00 1.00 re f
+107.62 85.72 1.00 1.00 re f
+113.95 103.42 1.00 1.00 re f
+113.74 94.72 1.00 1.00 re f
+113.89 87.77 1.00 1.00 re f
+116.92 100.22 1.00 1.00 re f
+107.59 83.16 1.00 1.00 re f
+105.73 86.51 1.00 1.00 re f
+109.17 86.45 1.00 1.00 re f
+107.09 87.90 1.00 1.00 re f
+113.53 90.96 1.00 1.00 re f
+106.50 96.87 1.00 1.00 re f
+111.58 84.87 1.00 1.00 re f
+118.20 88.92 1.00 1.00 re f
+117.21 87.61 1.00 1.00 re f
+103.08 87.58 1.00 1.00 re f
+119.47 95.36 1.00 1.00 re f
+113.08 87.44 1.00 1.00 re f
+110.07 88.89 1.00 1.00 re f
+114.18 85.36 1.00 1.00 re f
+109.50 89.88 1.00 1.00 re f
+117.49 97.76 1.00 1.00 re f
+115.00 95.74 1.00 1.00 re f
+115.50 88.36 1.00 1.00 re f
+115.84 88.63 1.00 1.00 re f
+116.94 96.44 1.00 1.00 re f
+114.70 89.87 1.00 1.00 re f
+107.85 91.70 1.00 1.00 re f
+101.60 86.11 1.00 1.00 re f
+107.84 84.66 1.00 1.00 re f
+120.90 98.27 1.00 1.00 re f
+127.99 86.60 1.00 1.00 re f
+116.16 87.10 1.00 1.00 re f
+106.92 89.74 1.00 1.00 re f
+117.38 96.01 1.00 1.00 re f
+104.95 89.72 1.00 1.00 re f
+122.40 86.95 1.00 1.00 re f
+118.91 90.84 1.00 1.00 re f
+102.82 86.12 1.00 1.00 re f
+113.38 88.96 1.00 1.00 re f
+106.09 81.70 1.00 1.00 re f
+111.52 88.11 1.00 1.00 re f
+113.10 89.18 1.00 1.00 re f
+116.80 91.29 1.00 1.00 re f
+116.79 86.44 1.00 1.00 re f
+113.15 92.75 1.00 1.00 re f
+123.68 102.71 1.00 1.00 re f
+114.87 90.38 1.00 1.00 re f
+110.80 90.08 1.00 1.00 re f
+118.11 92.06 1.00 1.00 re f
+113.36 93.33 1.00 1.00 re f
+117.79 94.29 1.00 1.00 re f
+123.30 95.56 1.00 1.00 re f
+114.16 97.26 1.00 1.00 re f
+115.25 95.44 1.00 1.00 re f
+111.68 93.12 1.00 1.00 re f
+106.94 86.73 1.00 1.00 re f
+125.53 97.98 1.00 1.00 re f
+113.86 84.37 1.00 1.00 re f
+112.40 86.10 1.00 1.00 re f
+112.89 84.06 1.00 1.00 re f
+104.68 87.89 1.00 1.00 re f
+114.55 96.26 1.00 1.00 re f
+119.58 99.07 1.00 1.00 re f
+114.98 99.02 1.00 1.00 re f
+118.17 97.21 1.00 1.00 re f
+119.97 92.84 1.00 1.00 re f
+113.48 87.71 1.00 1.00 re f
+113.67 98.72 1.00 1.00 re f
+114.45 84.38 1.00 1.00 re f
+118.05 88.64 1.00 1.00 re f
+117.16 88.41 1.00 1.00 re f
+114.52 85.05 1.00 1.00 re f
+108.20 86.11 1.00 1.00 re f
+119.96 93.88 1.00 1.00 re f
+115.70 92.74 1.00 1.00 re f
+112.14 95.54 1.00 1.00 re f
+108.15 90.81 1.00 1.00 re f
+110.84 87.41 1.00 1.00 re f
+114.42 94.83 1.00 1.00 re f
+114.52 84.41 1.00 1.00 re f
+114.26 89.02 1.00 1.00 re f
+101.73 81.11 1.00 1.00 re f
+111.30 86.85 1.00 1.00 re f
+110.02 86.24 1.00 1.00 re f
+108.81 91.46 1.00 1.00 re f
+112.15 86.92 1.00 1.00 re f
+118.07 86.41 1.00 1.00 re f
+107.52 89.99 1.00 1.00 re f
+115.64 87.53 1.00 1.00 re f
+124.99 88.68 1.00 1.00 re f
+112.32 93.41 1.00 1.00 re f
+118.17 95.99 1.00 1.00 re f
+108.61 84.48 1.00 1.00 re f
+113.71 87.54 1.00 1.00 re f
+114.30 80.68 1.00 1.00 re f
+117.09 92.87 1.00 1.00 re f
+130.35 87.64 1.00 1.00 re f
+122.82 92.79 1.00 1.00 re f
+110.01 88.12 1.00 1.00 re f
+121.66 98.86 1.00 1.00 re f
+104.34 84.89 1.00 1.00 re f
+122.12 100.55 1.00 1.00 re f
+110.17 89.05 1.00 1.00 re f
+123.85 96.47 1.00 1.00 re f
+113.82 92.42 1.00 1.00 re f
+115.74 87.91 1.00 1.00 re f
+106.54 83.76 1.00 1.00 re f
+113.36 87.63 1.00 1.00 re f
+117.81 90.29 1.00 1.00 re f
+110.55 94.42 1.00 1.00 re f
+113.65 89.37 1.00 1.00 re f
+112.34 86.58 1.00 1.00 re f
+116.63 89.65 1.00 1.00 re f
+118.66 88.70 1.00 1.00 re f
+121.29 97.48 1.00 1.00 re f
+119.52 95.63 1.00 1.00 re f
+111.23 91.77 1.00 1.00 re f
+115.38 85.87 1.00 1.00 re f
+112.37 93.22 1.00 1.00 re f
+119.27 93.54 1.00 1.00 re f
+114.85 91.43 1.00 1.00 re f
+116.81 89.24 1.00 1.00 re f
+101.87 76.48 1.00 1.00 re f
+117.81 81.98 1.00 1.00 re f
+112.19 89.27 1.00 1.00 re f
+109.35 88.35 1.00 1.00 re f
+109.96 91.54 1.00 1.00 re f
+110.22 86.65 1.00 1.00 re f
+116.99 93.27 1.00 1.00 re f
+113.43 98.99 1.00 1.00 re f
+112.82 84.45 1.00 1.00 re f
+114.90 87.12 1.00 1.00 re f
+110.07 92.33 1.00 1.00 re f
+116.84 101.63 1.00 1.00 re f
+105.68 81.31 1.00 1.00 re f
+112.27 92.59 1.00 1.00 re f
+117.56 86.40 1.00 1.00 re f
+113.07 96.10 1.00 1.00 re f
+116.19 92.97 1.00 1.00 re f
+117.79 94.47 1.00 1.00 re f
+122.84 93.65 1.00 1.00 re f
+116.75 91.97 1.00 1.00 re f
+113.78 91.56 1.00 1.00 re f
+107.03 88.15 1.00 1.00 re f
+112.15 87.49 1.00 1.00 re f
+111.28 87.74 1.00 1.00 re f
+106.79 90.94 1.00 1.00 re f
+109.80 90.27 1.00 1.00 re f
+117.66 96.79 1.00 1.00 re f
+118.55 92.88 1.00 1.00 re f
+118.11 84.72 1.00 1.00 re f
+112.99 89.45 1.00 1.00 re f
+100.57 88.04 1.00 1.00 re f
+119.82 88.47 1.00 1.00 re f
+112.68 90.32 1.00 1.00 re f
+117.75 90.84 1.00 1.00 re f
+115.98 85.57 1.00 1.00 re f
+112.15 87.53 1.00 1.00 re f
+104.53 80.65 1.00 1.00 re f
+114.60 95.30 1.00 1.00 re f
+112.69 93.20 1.00 1.00 re f
+108.73 92.11 1.00 1.00 re f
+106.50 92.66 1.00 1.00 re f
+107.57 87.82 1.00 1.00 re f
+116.87 96.90 1.00 1.00 re f
+111.13 99.68 1.00 1.00 re f
+113.32 89.32 1.00 1.00 re f
+119.12 87.14 1.00 1.00 re f
+117.45 92.51 1.00 1.00 re f
+109.55 85.42 1.00 1.00 re f
+109.11 88.82 1.00 1.00 re f
+111.88 89.02 1.00 1.00 re f
+108.85 84.72 1.00 1.00 re f
+105.87 85.33 1.00 1.00 re f
+108.17 96.08 1.00 1.00 re f
+108.13 76.95 1.00 1.00 re f
+109.18 89.69 1.00 1.00 re f
+114.41 87.60 1.00 1.00 re f
+110.66 90.88 1.00 1.00 re f
+114.23 87.27 1.00 1.00 re f
+107.22 83.54 1.00 1.00 re f
+114.08 99.54 1.00 1.00 re f
+119.93 90.86 1.00 1.00 re f
+105.94 85.69 1.00 1.00 re f
+124.44 91.37 1.00 1.00 re f
+115.75 82.86 1.00 1.00 re f
+115.77 92.49 1.00 1.00 re f
+111.89 85.43 1.00 1.00 re f
+116.50 86.02 1.00 1.00 re f
+113.94 91.71 1.00 1.00 re f
+123.59 96.06 1.00 1.00 re f
+117.59 86.77 1.00 1.00 re f
+122.71 97.74 1.00 1.00 re f
+124.70 95.66 1.00 1.00 re f
+110.76 88.05 1.00 1.00 re f
+110.71 94.06 1.00 1.00 re f
+126.22 89.92 1.00 1.00 re f
+120.66 87.92 1.00 1.00 re f
+112.82 88.52 1.00 1.00 re f
+110.05 92.75 1.00 1.00 re f
+105.46 87.99 1.00 1.00 re f
+120.93 86.51 1.00 1.00 re f
+107.48 79.59 1.00 1.00 re f
+107.07 78.74 1.00 1.00 re f
+115.84 93.27 1.00 1.00 re f
+115.58 96.63 1.00 1.00 re f
+107.69 88.02 1.00 1.00 re f
+110.25 83.42 1.00 1.00 re f
+118.37 85.75 1.00 1.00 re f
+105.03 82.92 1.00 1.00 re f
+111.49 82.18 1.00 1.00 re f
+119.13 86.21 1.00 1.00 re f
+112.53 80.39 1.00 1.00 re f
+109.51 81.84 1.00 1.00 re f
+117.96 87.30 1.00 1.00 re f
+111.91 90.05 1.00 1.00 re f
+123.90 92.68 1.00 1.00 re f
+122.96 93.71 1.00 1.00 re f
+113.80 87.31 1.00 1.00 re f
+104.97 94.10 1.00 1.00 re f
+111.56 89.89 1.00 1.00 re f
+121.44 87.41 1.00 1.00 re f
+116.26 87.27 1.00 1.00 re f
+116.51 94.04 1.00 1.00 re f
+122.69 94.28 1.00 1.00 re f
+114.92 85.32 1.00 1.00 re f
+117.16 86.91 1.00 1.00 re f
+125.41 89.17 1.00 1.00 re f
+107.74 94.67 1.00 1.00 re f
+111.06 95.00 1.00 1.00 re f
+109.99 92.99 1.00 1.00 re f
+116.02 87.98 1.00 1.00 re f
+117.54 82.12 1.00 1.00 re f
+116.22 85.51 1.00 1.00 re f
+118.03 92.37 1.00 1.00 re f
+126.90 93.69 1.00 1.00 re f
+113.70 88.05 1.00 1.00 re f
+107.09 81.71 1.00 1.00 re f
+109.53 78.64 1.00 1.00 re f
+108.42 89.07 1.00 1.00 re f
+113.32 82.75 1.00 1.00 re f
+112.91 91.20 1.00 1.00 re f
+117.59 102.26 1.00 1.00 re f
+115.36 88.27 1.00 1.00 re f
+120.92 92.84 1.00 1.00 re f
+113.21 91.70 1.00 1.00 re f
+105.12 84.86 1.00 1.00 re f
+118.20 97.94 1.00 1.00 re f
+122.45 88.55 1.00 1.00 re f
+108.07 82.65 1.00 1.00 re f
+119.75 87.75 1.00 1.00 re f
+111.58 81.34 1.00 1.00 re f
+114.59 91.99 1.00 1.00 re f
+116.86 104.64 1.00 1.00 re f
+115.41 91.17 1.00 1.00 re f
+123.16 90.67 1.00 1.00 re f
+114.01 103.40 1.00 1.00 re f
+123.95 92.72 1.00 1.00 re f
+112.18 101.31 1.00 1.00 re f
+125.59 100.38 1.00 1.00 re f
+116.00 87.84 1.00 1.00 re f
+120.94 88.59 1.00 1.00 re f
+114.76 86.63 1.00 1.00 re f
+121.05 90.12 1.00 1.00 re f
+115.94 93.14 1.00 1.00 re f
+116.90 90.24 1.00 1.00 re f
+116.39 102.83 1.00 1.00 re f
+110.13 81.49 1.00 1.00 re f
+110.35 88.78 1.00 1.00 re f
+117.57 86.76 1.00 1.00 re f
+116.70 96.67 1.00 1.00 re f
+115.34 94.57 1.00 1.00 re f
+104.29 82.07 1.00 1.00 re f
+108.28 92.41 1.00 1.00 re f
+113.54 91.21 1.00 1.00 re f
+111.07 88.45 1.00 1.00 re f
+119.24 86.87 1.00 1.00 re f
+115.26 88.19 1.00 1.00 re f
+110.22 87.15 1.00 1.00 re f
+110.74 98.07 1.00 1.00 re f
+120.07 90.69 1.00 1.00 re f
+116.41 95.48 1.00 1.00 re f
+110.28 96.36 1.00 1.00 re f
+114.23 82.95 1.00 1.00 re f
+110.37 91.30 1.00 1.00 re f
+104.94 83.73 1.00 1.00 re f
+98.44 78.46 1.00 1.00 re f
+107.05 90.43 1.00 1.00 re f
+113.33 88.40 1.00 1.00 re f
+118.92 85.80 1.00 1.00 re f
+107.66 91.23 1.00 1.00 re f
+117.82 88.05 1.00 1.00 re f
+117.89 91.08 1.00 1.00 re f
+120.92 85.99 1.00 1.00 re f
+118.80 90.47 1.00 1.00 re f
+124.41 97.69 1.00 1.00 re f
+120.31 90.31 1.00 1.00 re f
+112.32 89.34 1.00 1.00 re f
+108.62 86.73 1.00 1.00 re f
+120.47 90.91 1.00 1.00 re f
+112.42 95.50 1.00 1.00 re f
+125.22 88.25 1.00 1.00 re f
+110.40 88.58 1.00 1.00 re f
+116.84 88.44 1.00 1.00 re f
+117.23 93.10 1.00 1.00 re f
+125.30 98.89 1.00 1.00 re f
+117.07 89.75 1.00 1.00 re f
+112.14 97.71 1.00 1.00 re f
+114.99 84.99 1.00 1.00 re f
+105.72 86.63 1.00 1.00 re f
+116.68 94.01 1.00 1.00 re f
+112.80 83.85 1.00 1.00 re f
+109.40 81.76 1.00 1.00 re f
+105.02 83.53 1.00 1.00 re f
+122.07 90.76 1.00 1.00 re f
+117.73 95.04 1.00 1.00 re f
+100.58 84.47 1.00 1.00 re f
+102.65 82.32 1.00 1.00 re f
+120.84 92.34 1.00 1.00 re f
+106.70 89.53 1.00 1.00 re f
+108.40 92.29 1.00 1.00 re f
+110.84 88.54 1.00 1.00 re f
+108.20 87.02 1.00 1.00 re f
+117.74 93.06 1.00 1.00 re f
+118.43 95.11 1.00 1.00 re f
+121.77 96.26 1.00 1.00 re f
+105.74 81.00 1.00 1.00 re f
+114.26 95.10 1.00 1.00 re f
+122.48 96.08 1.00 1.00 re f
+109.44 86.34 1.00 1.00 re f
+108.73 87.01 1.00 1.00 re f
+115.93 93.02 1.00 1.00 re f
+108.06 90.05 1.00 1.00 re f
+110.09 92.19 1.00 1.00 re f
+107.93 81.08 1.00 1.00 re f
+114.79 88.58 1.00 1.00 re f
+107.70 91.90 1.00 1.00 re f
+114.80 95.72 1.00 1.00 re f
+122.85 82.05 1.00 1.00 re f
+111.06 87.64 1.00 1.00 re f
+120.64 83.37 1.00 1.00 re f
+112.56 95.23 1.00 1.00 re f
+114.90 96.64 1.00 1.00 re f
+125.29 97.79 1.00 1.00 re f
+115.06 92.03 1.00 1.00 re f
+108.71 87.62 1.00 1.00 re f
+108.74 86.09 1.00 1.00 re f
+116.70 86.00 1.00 1.00 re f
+117.17 87.46 1.00 1.00 re f
+112.49 89.59 1.00 1.00 re f
+112.90 91.58 1.00 1.00 re f
+123.62 85.57 1.00 1.00 re f
+106.03 80.88 1.00 1.00 re f
+108.48 89.54 1.00 1.00 re f
+105.84 81.67 1.00 1.00 re f
+114.72 85.39 1.00 1.00 re f
+112.07 84.36 1.00 1.00 re f
+112.94 91.95 1.00 1.00 re f
+100.50 84.23 1.00 1.00 re f
+101.36 81.62 1.00 1.00 re f
+110.45 88.54 1.00 1.00 re f
+109.73 85.92 1.00 1.00 re f
+119.39 93.44 1.00 1.00 re f
+109.68 86.79 1.00 1.00 re f
+113.69 84.45 1.00 1.00 re f
+114.41 90.88 1.00 1.00 re f
+112.89 89.60 1.00 1.00 re f
+122.33 98.45 1.00 1.00 re f
+112.60 96.83 1.00 1.00 re f
+109.43 87.46 1.00 1.00 re f
+116.98 91.50 1.00 1.00 re f
+118.07 86.34 1.00 1.00 re f
+116.90 92.89 1.00 1.00 re f
+120.53 86.27 1.00 1.00 re f
+108.52 89.39 1.00 1.00 re f
+109.50 91.98 1.00 1.00 re f
+108.80 81.91 1.00 1.00 re f
+111.73 83.75 1.00 1.00 re f
+Q q -216.00 -216.00 864.00 864.00 re W n
+Q
+endstream
+endobj
+2733 0 obj
+<<
+/CreationDate (D:20070601024032)
+/ModDate (D:20070601024032)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2734 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2735 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2737 0 R
+>>
+endobj
+2736 0 obj
+29827
+endobj
+2737 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2732 0 obj <<
+/D [2730 0 R /XYZ 72 720 null]
 >> endobj
-2531 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+2729 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F167 1942 0 R >>
+/XObject << /Im21 2728 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2539 0 obj <<
-/Length 2740      
+2741 0 obj <<
+/Length 1047      
 /Filter /FlateDecode
 >>
 stream
-xڵZݏ�6��"(�� U_����K�.��^q�����I���ؙ����
p����؉f&��2�e�")�?�����~xm�B����z��ra�c\���M���r�D�)�˷׿��ں�ZaYj+)� ��O)8-�f�P0���k�o�@k�D�LX���a��d}��]�^��J�5� 7"����.�.��f�d�R��ג� �)o�+i�bCs7K��,��gS�-nQv�w�aF$��aU��P�ͳ��Y��L�����ТT,,ˬW0�V-V��L�!
S�^
����x�@y~�>T�a�b�R)gp+^���e�&ySz^�(C�X��i72����	�N-4S*�dLn0����YG���3�
�##�+9���j":��c;�
4Dlo#D5�Q�4FB�4�a���)��{�[��	�E�1�h��E��2���rӝ~�56~bB2��,Sfvdf&�U`��E�%�^F� x����θ��8�7�~�C�U�c�€�
�9�7L��4�G��!~�_+y7.h�>������8gзk�mD�eJk��0��z�����ٹdZ*��)��KlG�\J�;+�sj.��m���.�I��s�[&�4ʕ�3z�Ĉ��0�5t0��p|�!��c
D:����E8C���δ:F��6`t�O��
�6벨qe�2
-�RdL<�
�֎� .�}��C�x9��>oP(|] 
V^�CC���(�#*@���<��k�Myd��pKÜ~6�
�7�o�v��}�k��Cz��!���gɩ�NN�
��˪�X��Z��#j�jz0f��@ �[n�|߾>��#e�n
�B��31�E� �SL��}� ~�d�ME�Diɜ�땈[���ig/ű�D]ør����K�Ov�������`�yԀL����iI�E��2^��Y��
-]^���� ��zt��
�tt�2.��נ�}�,��$Ň�>�7��dzt�}����Y^����
'cO�F�8���0l$P��	0%��s�!
-��c�Y
}�R�
-�z����m�x�
�s2�
-�k
ECр��H�B:�Q
bڋ�sf�����!1x��K5w�S�:Q�����@�%�/@}t��?Fs �Y&�L
;��c���9��M
-�Q��c�=��I(��'@-
4�+�v�s� g��}�vP���LX,5E�ט�
-��b���*�D��00�&ij�c"8�4 ��)CA�m�
�.�{� ����q�yD��]3x9
-�UG �OA�
-�zz�ەul�/t
iƼV��Y�����a�|EC�e��ay at XpƦ��+�n��vd%(ms���Y�dz!X�h]6������+��XH��3�c�l
�XWW�޼��_�z���=��9 �WW ��2<��y��Hk5[M���]�9̏[�P:e���	�ק@?
��pG��ζ�P��3O�*X pK��ܑ��V �^,ut~�:�`~ʵ/��<�<���<#�
{���
���!�����}P���`X1hk�! .�
�*fV�Ϣ9����=�y^�<�O)��N�1�i �H�c���T�9
{�
�LV).Q��L��(����4h|S���Ex���i���d�,�6�>]*C�)ŗ	h��=)���[*㒛����=
�e�ס\
��]A��
�=�k�VXD�
^��'�9G�aO@?)�{^�4u�T:
��w���
��!�9�>(P������e�ԜYmuC�Wk(���;��W���%�	' yDM�J�+B�&ZL��<�y(\i��� 
-z�i_���C�e8-��0'�b�1�_A�├)�ۄ����BQ����d�:�
�]O�W4�|���
Jg���1����tc�3�\;Cn,�>Sc�99
���y�7m�'��
-xA���Q���Oj_Y�L6Ow��z�&��7T�.T�
~��m_ݑ�㳯� <���j
�N$ݭG���|
�І�zm^�Q�a]�u�k���ZLTτT�K������7������ڒ�F6Ԝ�v-X�q���� �����
a �����$�o=�w�wԧ�c������6��u'B�!�s�y*X���z�9i�^��ؗ;���q��$Tť������{��֫����8
�iy�$�8�%|O�<\������gt)�z�D�_�8��
7m�d��PI�

�w�$7����Hu��I`�ȼ�ɥ"M�����N>����?����+���}R!�
:ݞ���������^�.Ƚ
'W5�;T0����d� u\�Q��r�T^�u�T�,=��'n��hR��dBs��=���*��c])
��x�1Ue
-RfԐF�
����c3��A�9\�����h�(>€��?�L
ɌTGejPV[���j�! ☗{�/��4`��@D]t1��b݌��s�V������*&3 ���1}��}P�[�L�O<-
j��)n�Y>i�x'���}G>1�+o7>W�9ߵ�"!p��Gs�w�f�\ 	 �6�%�
*� �C�x=b� �J \�h���n��
]�;�}1`Mhc�]ƣ�-���x���f��Ѡ��u��OHi�!�"�ǽC30�=m�/�n���=�b������4P����2�
���^c�;v�⮓r�ƣ
-a���
9�-����	�:����ú�l�6*�e���^�^?Q0���I�܇H�5���B�/�Y�K�"�sf�R�9�d�/��g��" ��F�}"2[�Tg;��⃜��`D��

'��`���
S�,V`*��Hk����?�׾�endstream
+xڽWKo�F��WF$n���hz�
P H�SڃbR1=S��
��;3;����e�q���y��q�����+�ΤmY�.����fuވ\�N�!Q�LD��M^�r���,�X��T5�6�
+U&�
���
+7��b	�����
�W���k����[�����gR��hg�l�V5�q1n������{TP���?�x�
_����9yD�|�fp�C)��#~�JVu��|�)-tޒ
?�Y���OJ*�%W��'Xf�V�9@�(oe
l�,�۸���[6�eE
���簔�;7���e��q[+7���������g��d_�Z�%(��e�	�U��:�`h~d�$�Y�I�rJ��}&V��
gz`��^I��|�`�j�m��"r��b��
���Zɰ
��6\��u��ws�6-K:�e��G��G��X��7eZ�tPzsn�%�*_�Y?BR�����
+a���#-�V�{N�ƛj??V�e�,�#I���_s�;��(���|�����¾��7oa��鵢����Z��
��|�]�C>"fr�G6���u�*��{
���@ʥr��-8YL�t�ڰ�O���й�8���ˁ�Tl�4�Q�lB��g��c����R�ȧ[� �Y��#
Ǹ��wR�㟗S��Y��5�F�d�
P�6���._��
�F�Y��;�0�X��ו�`�W(Y�J׌��|�N�m$��u^�@�
+�L�2�*s��x3 %�<.��Ќ�)�b$�ˀ.DY�HW$9�k�QPe���cS��:mY;3�֮���<�@�~
�S<�Z U���ݵc�yI:��q�7��q ��x����  M(�c �E��@8`���	�hJ�u�7{
O��X51���쩒��7e����i?�B��UPk�	���
��?�7�nf�)<Bpxl�����f�C/����a�X\Nc}���NޖW��/��
���>��;�����D�Z�uCۿE>
�^��-<)� �s�腝�Y��bY��0��WUP�
+|�D� pvqy�7G��endstream
 endobj
-2538 0 obj <<
+2740 0 obj <<
 /Type /Page
-/Contents 2539 0 R
-/Resources 2537 0 R
+/Contents 2741 0 R
+/Resources 2739 0 R
 /MediaBox [0 0 612 792]
-/Parent 2504 0 R
->> endobj
-2540 0 obj <<
-/D [2538 0 R /XYZ 72 720 null]
->> endobj
-2541 0 obj <<
-/D [2538 0 R /XYZ 72 700.324 null]
+/Parent 2715 0 R
 >> endobj
-2542 0 obj <<
-/D [2538 0 R /XYZ 72 503.188 null]
+2742 0 obj <<
+/D [2740 0 R /XYZ 72 720 null]
 >> endobj
-2543 0 obj <<
-/D [2538 0 R /XYZ 72 227.394 null]
+2743 0 obj <<
+/D [2740 0 R /XYZ 72 720 null]
 >> endobj
-2537 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F32 668 0 R /F35 1440 0 R /F70 642 0 R /F79 926 0 R /F52 1472 0 R >>
+2739 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2546 0 obj <<
-/Length 2550      
+2746 0 obj <<
+/Length 1110      
 /Filter /FlateDecode
 >>
 stream
-xڽYY��~�_� y ���t� =X�ĈG��	,���X�v8\�*>u�\d�č
��s��T���W5/���z���R"wnr��#+��x��pe���_���ꕗ�eZ8&���LM�,������O8'
���x>�[���r67�O?��g����
^˦5��m�܉��ՖtO���niE\д�����P��������?�ڿ��7�@�!x#�3/r��\��2
��8
���{G�
�n	[�\�ލmE:5�U��9;�B�}R�
tp�U��i�\���ѣh�uBI�C��#=w
__�7����^v+�_�
���]�I�+H�m�4|Bc�qK7bIa�?�})�T�Ⱦ��

����Κ"�_�P�*���Bvp�G�P'�Iq�N_���k���o��AXӚ=Z69�h&,��\8��j%����6�^͂�ֻMBu��ÃQs4�f�֫���t��cG��S�xUȄ��柱�
(�|�)f:�%:��Gqu�h��b at I��.�eA���*1�W�~+t��I� �զ��F��O�E�N۔MY�
��T�������G�yH�j�W
(qw�9lxQ�۸�Р�������]MP�E]�1��s�Tާ0`�u�|!�r�J�]&^�Y�}k�&!�
-��wN�6
�`�Łu�asLc�������D,,����Ků���/x�q�Nx�'Z�Yl�dc&@� ���
a~i�6!i�A�f��
l���>���YR�kl��hBk�*�yp���ak�0f���NH&2�׊ܰ*�;�"�j���5F��@�<Z��L�D�/|n�bFf�b��Q�?�)�
�!A���)�쒑]�.*�
ȡ�̇��.:S��ƅ'�+a�~�Ù�,b�(������0�?�ڋP�
-�����`�%�S�qK%���j��&��)�tE+OF]�E9,՞�v���
-
-
#�JXT����Z&���� ^̵TBJM���
)2�>�V��
-���"Z�'�
S⇔cP'�<k��ɄJ�Į�'B����ң��&
B�O�q��|j��-��xb��A�] �^��d`��H��p&k\q���>I11�� ��|��\�^����,���+ sH��p
4dl�� 
�=>]_���G'k�
-���Ķg
���z�I(�����%�Ȭ��ew|HB�Et�
-����Ʈ�p
?ǂ(��-֊�t��vL����nJһ����~���-�
~�Y[�iC
�0�,˵H�%x�t�ȯ��"�T���ӌ�x��*$̠�J�K�O]v�q�c<+N{�ٴ����Ͼ���y����7�佻$������><��и8� ���ߘ�QּFY?f/�D���|���?M<��^�~{����
��u������:�VW(��2`��
S��<���Z�����W�Z
f΢��
""[�

����' ���;��2�� �tm��(?����:-� �.�v��SO�ܧͭ�N�@����������]x�-�W�E]j�t��8nf�$&�gG
Ie�z��f�@���<�3�w��
�D/=i�B]�
:�Eg.��L��ӮKT�B� �WѓJ�� ����x�BR��}	��uu?&��[�l�
�
l��j�q㱌ʤȩ?�O���K-U�sw8)�U��aC����c��d�%�#�}��Qt�ê:��\4���}?�B����
��3���S7�&�%B��<�������9J�Om�É0�lʺ�d�.�z]lo:�N�%��K��T����-�b���=QX�Q8�7U|�q�͘�#Uy(��?�Փ٠Pҏ��)Rw��|��P�]6��mP�����7D�_��}�/�'R�� !eP��&[���P��D{�}dn�_s�Tk!Τ���2�Ɂe [...]
-��
R��1>�JZů0�9u��(N���_�9B�u���}ߊ�I
��*P�8��
����<������WIc
�a״#�'��
-ܸ(d��
-�+��!��	�w�?�'R���vli��c�T�D�{bh�mʐ��`h�?U�uUl������4
�1_����8%ȑ'�l���~]> K��?�&������||��*~~9��S�,ۑy��V�G|��{V5v�-|�
�#<'�����xW~C���4�J��+~g�Cok��/Z���n� A˚}g��~�߯���e� �o��
/�X5��� �4:��"ceԤM�f_W���9��-S�
���
k12�J�I��x��~5���!gq�<�>�ݓendstream
+xڵV�n
7��W�HS,K��62���AҴlY��Zl����p,j�6��R��^�
?�IJ����L�����?��9c,E�z���
��`�
!�?�ݛ�3_���a����{I�z"��'��`R�j�/Wo�W��(������{/��hy?
+�(����a�Id�!Ą�T�&����pm��A=��Hr�e�1x�4G�Q�a�r��H����n��ķ�w�o��bZ>
.ң�}Ev�/ޜ'��٧$粰�\���͗���a�:��"�V�$q>
+۳�j�N��s6!lO��Fh,M
�pr�m�H�Q�"���A6���R&��&>�H�39N�� X������f�68*μ�;8b������8�6:o׋��Γ���h29%��]� �
�t͒R�j�F��Dn+��������R�:i
:^;�@<���UK�!�ٜs����-���/1u.��Q��7��'���q;�O��u�I]��#��.��̗p���YZl��tS.���k�P�XF�����5\o����Z�-9�(�b`5<jI��!���VI0�E����fD	�&�V�vWp�:��[�2 1�(�
�o�Ik�׋1U�#q�)�w»x
+�C�Ė�F:
�D��2 ]���x?��I*��ކI���1'K�eW�J�	�戎d��k�3�ϖ���!���hC m�cZ4��B��A��O�!��
/iǬr�G@��3RuG��d
ſ����K�
�
w�n��O�%-�I�d�ki�e
\��IG[O�ʼn��S�
N��
ݟ�y~
�7���i�&���x��x��q���va<����L�������f��l���aP���."9��U{��Bԥ!$��$�7�>L��	���Yz�.�T�KryQ;��
C��ω��M�â�kNgM
"���N�cAx4L��X@#Z*�)M��h��o_|�ˌ�-(�o��df
+
�̃N?_ ��"��N�q�
de�O�v�Y��"�u���ޘ���#�X#]�T!�<v6 �y/�I׸Y�U��

�ͭ�9���8�;��F}��Uo������	� �����>;x�
������h�hͺ�o=p�s�ZP��e�2����k�endstream
 endobj
-2545 0 obj <<
+2745 0 obj <<
 /Type /Page
-/Contents 2546 0 R
-/Resources 2544 0 R
+/Contents 2746 0 R
+/Resources 2744 0 R
 /MediaBox [0 0 612 792]
-/Parent 2504 0 R
->> endobj
-2547 0 obj <<
-/D [2545 0 R /XYZ 72 720 null]
->> endobj
-2548 0 obj <<
-/D [2545 0 R /XYZ 72 167.96 null]
+/Parent 2715 0 R
 >> endobj
-2544 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F54 1447 0 R /F32 668 0 R /F79 926 0 R /F76 747 0 R >>
+2738 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/mlogit-LevelsTernaryPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2749 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-2551 0 obj <<
-/Length 886       
-/Filter /FlateDecode
+/Font << /F1 2750 0 R /F2 2751 0 R >>
+/ExtGState <<
+>>>>
+/Length 2752 0 R
 >>
 stream
-x�uUKo�8��W=Q at M���Gn� i�6ؠ1��n��HtLD��Ӧ��˙�\�\$rޏo��OV��X�k��͢��R��L+����î�d�ɒ�D���ގ�G�DyNT���I����x�����D��Nd�^��
�v��͏�wfc
I��8&���W�ez�T��Z-R�mk�X�
��T�]OAz�S��jzh�2-yY��-�M�X���2�̢�e�
-^��b)r��������~��2W%�|�*�Z"�@�Mt��������fH�>&
-?CP��~%'�P�*7 �%�� �)Q��Ǩ� �8�lO�����3v�9�Ar��mg4t
Z�Xo"@&T�5��Z,e�O+�?2�`�����r�4D���Q�^d�E���x�B�9������LP�Ш-�|>�?´��3���`#`� eg��b��%&�F�!�����m��n��!���੘�u=�ݠ���R6n�絷�N���̼7��v at 2o N��gU
�Ʊb>�x~���&˜��]�Q�N�H���ul����<�cOU�L�W�����}i
/뤂�������x8�!���FyB�C�d��1۽�$�� h >flT����� $��: 	+
�s��ml�u���{�e6����9
zCR
J���Q��%�JB0�x�u�,`�c�a��
Y׼>,� Z�zN"Pp;�)�"�vG�� Y�\��=���k��=��E p�i��X#�Y�p��G�H�&q����j
}���l�{�A�ܴ��}*��L+�0�h��,ui��$�D>���y�o�|��SB�L_���	A����wi3����?;�l�`|���@��k;���qb�Co$'`�j%�{ �2L�
�
-��Q
*W ��b}�]v�endstream
+q
+Q q -216.00 -216.00 864.00 864.00 re W n
+Q q -216.00 -216.00 864.00 864.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 18.00 0.00 -0.00 18.00 76.21 382.34 Tm (1988 Mexican Presidential Election) Tj
+ET
+1.000 1.000 1.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+  43.20 43.20 m
+  216.00 342.50 l
+  388.80 43.20 l
+b
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 22.36 31.98 Tm (Pr\(Y=1\)) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 367.96 31.98 Tm (Pr\(Y=2\)) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 195.16 345.10 Tm (Pr\(Y=3\)) Tj
+ET
+0.745 0.745 0.745 RG
+0.75 w
+[ 0.00 4.00] 0 d
+319.68 43.20 m
+181.44 282.64 l
+S
+319.68 43.20 m
+354.24 103.06 l
+S
+77.76 103.06 m
+354.24 103.06 l
+S
+BT
+0.663 0.663 0.663 rg
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 255.00 157.85 Tm (0.2) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 340.86 79.05 Tm (0.8) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 102.21 Tm (0.2) Tj
+ET
+250.56 43.20 m
+146.88 222.78 l
+S
+250.56 43.20 m
+319.68 162.92 l
+S
+112.32 162.92 m
+319.68 162.92 l
+S
+BT
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 203.16 127.92 Tm (0.4) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 289.02 108.98 Tm (0.6) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 162.07 Tm (0.4) Tj
+ET
+181.44 43.20 m
+112.32 162.92 l
+S
+181.44 43.20 m
+285.12 222.78 l
+S
+146.88 222.78 m
+285.12 222.78 l
+S
+BT
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 151.32 97.99 Tm (0.6) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 237.18 138.91 Tm (0.4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 221.93 Tm (0.6) Tj
+ET
+112.32 43.20 m
+77.76 103.06 l
+S
+112.32 43.20 m
+250.56 282.64 l
+S
+181.44 282.64 m
+250.56 282.64 l
+S
+BT
+/F2 1 Tf -6.00 10.39 -10.39 -6.00 99.48 68.06 Tm (0.8) Tj
+/F2 1 Tf -6.00 -10.39 10.39 -6.00 185.34 168.84 Tm (0.2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 207.66 281.79 Tm (0.8) Tj
+ET
+0.000 0.000 1.000 rg
+118.51 88.15 1.00 1.00 re f
+109.51 86.07 1.00 1.00 re f
+116.45 88.12 1.00 1.00 re f
+116.13 87.22 1.00 1.00 re f
+104.23 81.65 1.00 1.00 re f
+122.51 93.93 1.00 1.00 re f
+119.15 91.39 1.00 1.00 re f
+107.90 83.16 1.00 1.00 re f
+110.68 84.92 1.00 1.00 re f
+115.91 88.67 1.00 1.00 re f
+119.34 88.16 1.00 1.00 re f
+120.61 88.20 1.00 1.00 re f
+123.68 92.18 1.00 1.00 re f
+117.87 90.66 1.00 1.00 re f
+112.53 87.50 1.00 1.00 re f
+110.69 84.78 1.00 1.00 re f
+111.60 86.88 1.00 1.00 re f
+119.29 87.72 1.00 1.00 re f
+125.80 95.47 1.00 1.00 re f
+115.91 91.79 1.00 1.00 re f
+108.75 87.76 1.00 1.00 re f
+115.52 89.02 1.00 1.00 re f
+112.78 87.95 1.00 1.00 re f
+120.20 86.91 1.00 1.00 re f
+113.58 89.97 1.00 1.00 re f
+111.53 85.23 1.00 1.00 re f
+114.74 87.45 1.00 1.00 re f
+119.40 87.21 1.00 1.00 re f
+109.14 82.53 1.00 1.00 re f
+114.99 89.32 1.00 1.00 re f
+106.24 81.83 1.00 1.00 re f
+124.28 89.60 1.00 1.00 re f
+109.31 86.12 1.00 1.00 re f
+109.22 83.90 1.00 1.00 re f
+113.40 87.90 1.00 1.00 re f
+104.02 81.36 1.00 1.00 re f
+115.21 92.13 1.00 1.00 re f
+124.91 90.28 1.00 1.00 re f
+113.42 88.63 1.00 1.00 re f
+120.32 87.06 1.00 1.00 re f
+113.46 90.18 1.00 1.00 re f
+123.49 85.36 1.00 1.00 re f
+114.55 86.29 1.00 1.00 re f
+118.18 89.28 1.00 1.00 re f
+111.03 82.74 1.00 1.00 re f
+117.78 87.31 1.00 1.00 re f
+111.50 85.26 1.00 1.00 re f
+119.86 91.32 1.00 1.00 re f
+114.22 86.81 1.00 1.00 re f
+114.88 87.86 1.00 1.00 re f
+115.52 91.37 1.00 1.00 re f
+117.07 86.25 1.00 1.00 re f
+118.22 91.62 1.00 1.00 re f
+112.51 88.30 1.00 1.00 re f
+120.71 93.37 1.00 1.00 re f
+115.72 84.98 1.00 1.00 re f
+114.97 90.58 1.00 1.00 re f
+131.23 94.39 1.00 1.00 re f
+108.41 84.53 1.00 1.00 re f
+115.06 90.31 1.00 1.00 re f
+123.22 89.99 1.00 1.00 re f
+121.96 91.94 1.00 1.00 re f
+113.88 84.30 1.00 1.00 re f
+115.88 84.78 1.00 1.00 re f
+123.16 91.76 1.00 1.00 re f
+121.26 89.81 1.00 1.00 re f
+112.78 87.01 1.00 1.00 re f
+118.97 91.00 1.00 1.00 re f
+113.60 88.19 1.00 1.00 re f
+116.59 86.50 1.00 1.00 re f
+118.47 89.88 1.00 1.00 re f
+115.42 87.10 1.00 1.00 re f
+118.32 88.30 1.00 1.00 re f
+114.43 83.69 1.00 1.00 re f
+119.55 95.40 1.00 1.00 re f
+103.87 81.37 1.00 1.00 re f
+113.50 87.36 1.00 1.00 re f
+117.45 89.81 1.00 1.00 re f
+103.91 83.18 1.00 1.00 re f
+118.79 87.48 1.00 1.00 re f
+114.84 85.23 1.00 1.00 re f
+122.08 96.91 1.00 1.00 re f
+110.41 87.99 1.00 1.00 re f
+115.37 85.29 1.00 1.00 re f
+118.09 89.09 1.00 1.00 re f
+104.16 78.91 1.00 1.00 re f
+111.63 88.87 1.00 1.00 re f
+111.10 83.38 1.00 1.00 re f
+112.68 84.93 1.00 1.00 re f
+103.04 79.79 1.00 1.00 re f
+116.75 89.37 1.00 1.00 re f
+112.89 87.22 1.00 1.00 re f
+119.44 88.04 1.00 1.00 re f
+109.95 86.04 1.00 1.00 re f
+120.95 92.49 1.00 1.00 re f
+125.28 95.95 1.00 1.00 re f
+114.51 89.77 1.00 1.00 re f
+112.94 84.07 1.00 1.00 re f
+109.42 85.26 1.00 1.00 re f
+116.03 84.54 1.00 1.00 re f
+107.88 81.23 1.00 1.00 re f
+112.34 84.02 1.00 1.00 re f
+112.83 82.96 1.00 1.00 re f
+117.61 92.01 1.00 1.00 re f
+114.81 84.88 1.00 1.00 re f
+112.20 87.19 1.00 1.00 re f
+119.21 88.51 1.00 1.00 re f
+114.16 89.48 1.00 1.00 re f
+110.66 86.55 1.00 1.00 re f
+115.33 88.25 1.00 1.00 re f
+114.09 83.91 1.00 1.00 re f
+124.77 94.22 1.00 1.00 re f
+113.04 86.18 1.00 1.00 re f
+123.66 90.82 1.00 1.00 re f
+120.78 93.16 1.00 1.00 re f
+114.03 87.88 1.00 1.00 re f
+124.70 93.98 1.00 1.00 re f
+112.77 92.35 1.00 1.00 re f
+115.36 86.02 1.00 1.00 re f
+113.58 83.61 1.00 1.00 re f
+118.29 91.45 1.00 1.00 re f
+115.62 87.37 1.00 1.00 re f
+122.07 93.82 1.00 1.00 re f
+117.59 93.98 1.00 1.00 re f
+118.31 85.19 1.00 1.00 re f
+100.73 80.19 1.00 1.00 re f
+105.51 80.89 1.00 1.00 re f
+101.87 78.66 1.00 1.00 re f
+118.21 88.19 1.00 1.00 re f
+111.87 88.61 1.00 1.00 re f
+107.98 80.11 1.00 1.00 re f
+106.85 86.80 1.00 1.00 re f
+108.88 84.04 1.00 1.00 re f
+119.57 91.98 1.00 1.00 re f
+117.94 84.04 1.00 1.00 re f
+118.99 85.11 1.00 1.00 re f
+99.28 76.49 1.00 1.00 re f
+114.93 86.60 1.00 1.00 re f
+103.36 80.61 1.00 1.00 re f
+110.34 83.78 1.00 1.00 re f
+118.18 90.88 1.00 1.00 re f
+112.52 83.01 1.00 1.00 re f
+106.83 85.92 1.00 1.00 re f
+119.64 88.34 1.00 1.00 re f
+121.69 87.15 1.00 1.00 re f
+115.78 88.94 1.00 1.00 re f
+108.05 80.16 1.00 1.00 re f
+107.31 81.90 1.00 1.00 re f
+111.74 82.89 1.00 1.00 re f
+118.87 91.66 1.00 1.00 re f
+115.65 86.77 1.00 1.00 re f
+118.19 91.82 1.00 1.00 re f
+119.39 92.55 1.00 1.00 re f
+115.79 91.11 1.00 1.00 re f
+103.74 83.01 1.00 1.00 re f
+116.21 87.27 1.00 1.00 re f
+118.71 88.42 1.00 1.00 re f
+119.58 92.67 1.00 1.00 re f
+115.73 87.44 1.00 1.00 re f
+118.91 86.82 1.00 1.00 re f
+123.88 93.14 1.00 1.00 re f
+116.19 91.14 1.00 1.00 re f
+116.50 89.15 1.00 1.00 re f
+112.86 86.46 1.00 1.00 re f
+121.15 89.58 1.00 1.00 re f
+119.20 91.86 1.00 1.00 re f
+118.19 88.15 1.00 1.00 re f
+114.55 83.45 1.00 1.00 re f
+122.66 93.71 1.00 1.00 re f
+116.08 87.83 1.00 1.00 re f
+123.85 91.99 1.00 1.00 re f
+114.74 90.41 1.00 1.00 re f
+108.66 81.53 1.00 1.00 re f
+113.87 86.64 1.00 1.00 re f
+110.69 85.82 1.00 1.00 re f
+118.01 87.55 1.00 1.00 re f
+121.76 91.77 1.00 1.00 re f
+118.21 88.29 1.00 1.00 re f
+115.59 85.91 1.00 1.00 re f
+112.86 88.92 1.00 1.00 re f
+119.29 92.29 1.00 1.00 re f
+114.33 85.85 1.00 1.00 re f
+110.03 80.16 1.00 1.00 re f
+117.80 89.70 1.00 1.00 re f
+126.41 94.92 1.00 1.00 re f
+116.32 89.29 1.00 1.00 re f
+116.67 88.98 1.00 1.00 re f
+106.47 81.80 1.00 1.00 re f
+100.76 77.93 1.00 1.00 re f
+123.97 92.58 1.00 1.00 re f
+110.15 86.43 1.00 1.00 re f
+115.03 84.61 1.00 1.00 re f
+110.28 83.29 1.00 1.00 re f
+122.27 93.99 1.00 1.00 re f
+117.00 88.42 1.00 1.00 re f
+110.20 88.19 1.00 1.00 re f
+112.11 85.55 1.00 1.00 re f
+113.43 86.90 1.00 1.00 re f
+116.68 92.33 1.00 1.00 re f
+121.78 89.42 1.00 1.00 re f
+122.14 97.87 1.00 1.00 re f
+119.37 86.63 1.00 1.00 re f
+125.15 89.98 1.00 1.00 re f
+108.11 84.09 1.00 1.00 re f
+122.61 94.73 1.00 1.00 re f
+115.91 89.90 1.00 1.00 re f
+102.87 81.10 1.00 1.00 re f
+109.89 88.20 1.00 1.00 re f
+119.54 91.26 1.00 1.00 re f
+110.88 84.51 1.00 1.00 re f
+112.50 84.40 1.00 1.00 re f
+107.47 85.98 1.00 1.00 re f
+121.85 93.46 1.00 1.00 re f
+116.20 92.05 1.00 1.00 re f
+116.46 89.99 1.00 1.00 re f
+127.84 96.84 1.00 1.00 re f
+118.51 88.19 1.00 1.00 re f
+120.78 91.71 1.00 1.00 re f
+104.10 83.23 1.00 1.00 re f
+109.54 86.52 1.00 1.00 re f
+116.22 84.66 1.00 1.00 re f
+110.72 83.74 1.00 1.00 re f
+114.80 86.09 1.00 1.00 re f
+118.78 86.57 1.00 1.00 re f
+116.50 83.62 1.00 1.00 re f
+107.92 81.21 1.00 1.00 re f
+114.88 88.99 1.00 1.00 re f
+107.97 85.41 1.00 1.00 re f
+115.48 89.81 1.00 1.00 re f
+111.86 84.67 1.00 1.00 re f
+109.68 84.68 1.00 1.00 re f
+118.93 91.34 1.00 1.00 re f
+113.36 82.20 1.00 1.00 re f
+117.19 88.48 1.00 1.00 re f
+121.03 93.43 1.00 1.00 re f
+116.56 88.36 1.00 1.00 re f
+125.19 88.37 1.00 1.00 re f
+116.69 91.10 1.00 1.00 re f
+115.98 89.40 1.00 1.00 re f
+120.35 88.50 1.00 1.00 re f
+111.88 85.11 1.00 1.00 re f
+102.45 82.66 1.00 1.00 re f
+119.58 93.64 1.00 1.00 re f
+111.71 84.43 1.00 1.00 re f
+111.56 84.32 1.00 1.00 re f
+118.03 85.25 1.00 1.00 re f
+117.41 94.05 1.00 1.00 re f
+107.13 81.23 1.00 1.00 re f
+113.65 87.42 1.00 1.00 re f
+110.64 89.14 1.00 1.00 re f
+109.01 82.15 1.00 1.00 re f
+124.75 90.48 1.00 1.00 re f
+123.93 91.93 1.00 1.00 re f
+117.02 90.23 1.00 1.00 re f
+107.26 85.58 1.00 1.00 re f
+113.89 83.32 1.00 1.00 re f
+108.07 86.60 1.00 1.00 re f
+112.38 88.51 1.00 1.00 re f
+108.90 84.20 1.00 1.00 re f
+116.66 87.68 1.00 1.00 re f
+113.37 83.04 1.00 1.00 re f
+111.19 87.86 1.00 1.00 re f
+110.49 84.78 1.00 1.00 re f
+105.03 82.03 1.00 1.00 re f
+123.66 92.57 1.00 1.00 re f
+117.71 94.79 1.00 1.00 re f
+113.59 92.09 1.00 1.00 re f
+104.60 81.63 1.00 1.00 re f
+118.28 86.91 1.00 1.00 re f
+116.41 92.89 1.00 1.00 re f
+118.77 88.82 1.00 1.00 re f
+115.72 83.32 1.00 1.00 re f
+112.20 87.69 1.00 1.00 re f
+111.00 82.68 1.00 1.00 re f
+118.35 89.28 1.00 1.00 re f
+114.95 88.56 1.00 1.00 re f
+115.11 88.48 1.00 1.00 re f
+120.10 90.34 1.00 1.00 re f
+114.15 86.77 1.00 1.00 re f
+112.29 87.58 1.00 1.00 re f
+118.82 88.34 1.00 1.00 re f
+116.35 89.14 1.00 1.00 re f
+107.13 81.19 1.00 1.00 re f
+123.15 96.68 1.00 1.00 re f
+107.19 82.20 1.00 1.00 re f
+124.53 92.03 1.00 1.00 re f
+125.87 90.77 1.00 1.00 re f
+105.99 86.70 1.00 1.00 re f
+113.54 87.38 1.00 1.00 re f
+117.33 85.05 1.00 1.00 re f
+118.99 86.61 1.00 1.00 re f
+121.23 89.77 1.00 1.00 re f
+117.53 88.62 1.00 1.00 re f
+108.53 84.10 1.00 1.00 re f
+112.77 84.72 1.00 1.00 re f
+110.24 87.23 1.00 1.00 re f
+109.61 84.82 1.00 1.00 re f
+123.09 89.94 1.00 1.00 re f
+110.98 84.77 1.00 1.00 re f
+118.97 86.73 1.00 1.00 re f
+105.41 80.20 1.00 1.00 re f
+114.99 84.45 1.00 1.00 re f
+119.76 92.14 1.00 1.00 re f
+111.40 88.78 1.00 1.00 re f
+122.53 90.62 1.00 1.00 re f
+114.97 84.48 1.00 1.00 re f
+117.77 88.81 1.00 1.00 re f
+116.80 88.80 1.00 1.00 re f
+118.69 90.23 1.00 1.00 re f
+112.19 82.98 1.00 1.00 re f
+115.56 84.20 1.00 1.00 re f
+123.33 91.03 1.00 1.00 re f
+118.34 88.06 1.00 1.00 re f
+122.28 92.84 1.00 1.00 re f
+114.87 89.41 1.00 1.00 re f
+106.98 81.45 1.00 1.00 re f
+119.35 87.22 1.00 1.00 re f
+114.21 84.11 1.00 1.00 re f
+108.88 83.42 1.00 1.00 re f
+113.87 86.50 1.00 1.00 re f
+118.81 84.97 1.00 1.00 re f
+109.26 81.01 1.00 1.00 re f
+121.54 93.72 1.00 1.00 re f
+109.56 87.42 1.00 1.00 re f
+114.25 85.73 1.00 1.00 re f
+110.42 84.98 1.00 1.00 re f
+114.54 86.89 1.00 1.00 re f
+113.40 86.34 1.00 1.00 re f
+114.13 89.19 1.00 1.00 re f
+115.47 87.08 1.00 1.00 re f
+121.61 90.68 1.00 1.00 re f
+111.90 81.79 1.00 1.00 re f
+109.47 84.24 1.00 1.00 re f
+106.77 82.33 1.00 1.00 re f
+126.25 95.31 1.00 1.00 re f
+115.33 87.38 1.00 1.00 re f
+121.04 94.39 1.00 1.00 re f
+110.13 84.97 1.00 1.00 re f
+111.06 86.77 1.00 1.00 re f
+123.31 90.85 1.00 1.00 re f
+123.79 93.09 1.00 1.00 re f
+116.38 88.02 1.00 1.00 re f
+106.38 82.66 1.00 1.00 re f
+107.68 81.90 1.00 1.00 re f
+121.90 90.04 1.00 1.00 re f
+116.13 88.96 1.00 1.00 re f
+116.67 86.97 1.00 1.00 re f
+106.35 83.15 1.00 1.00 re f
+115.06 89.84 1.00 1.00 re f
+113.34 90.12 1.00 1.00 re f
+118.74 88.78 1.00 1.00 re f
+106.88 83.12 1.00 1.00 re f
+117.55 90.51 1.00 1.00 re f
+121.76 88.74 1.00 1.00 re f
+111.79 88.08 1.00 1.00 re f
+105.12 81.46 1.00 1.00 re f
+108.64 84.55 1.00 1.00 re f
+118.07 88.58 1.00 1.00 re f
+114.01 87.12 1.00 1.00 re f
+117.44 86.11 1.00 1.00 re f
+114.65 84.83 1.00 1.00 re f
+116.96 89.33 1.00 1.00 re f
+113.75 85.23 1.00 1.00 re f
+107.02 82.43 1.00 1.00 re f
+114.09 90.58 1.00 1.00 re f
+110.63 85.90 1.00 1.00 re f
+113.15 86.57 1.00 1.00 re f
+117.37 86.86 1.00 1.00 re f
+119.01 88.53 1.00 1.00 re f
+109.86 83.88 1.00 1.00 re f
+119.91 89.16 1.00 1.00 re f
+112.56 89.03 1.00 1.00 re f
+108.57 84.77 1.00 1.00 re f
+113.02 86.42 1.00 1.00 re f
+122.36 92.87 1.00 1.00 re f
+120.20 94.35 1.00 1.00 re f
+113.55 87.02 1.00 1.00 re f
+111.87 88.11 1.00 1.00 re f
+112.81 86.02 1.00 1.00 re f
+106.79 86.79 1.00 1.00 re f
+117.88 90.80 1.00 1.00 re f
+112.26 83.29 1.00 1.00 re f
+114.22 89.28 1.00 1.00 re f
+111.03 84.00 1.00 1.00 re f
+118.04 86.49 1.00 1.00 re f
+110.77 86.36 1.00 1.00 re f
+122.27 89.52 1.00 1.00 re f
+113.46 84.76 1.00 1.00 re f
+115.76 89.59 1.00 1.00 re f
+113.88 88.77 1.00 1.00 re f
+110.49 85.04 1.00 1.00 re f
+108.81 82.03 1.00 1.00 re f
+113.91 87.50 1.00 1.00 re f
+115.51 89.69 1.00 1.00 re f
+116.18 83.49 1.00 1.00 re f
+126.28 93.65 1.00 1.00 re f
+112.23 86.60 1.00 1.00 re f
+120.69 89.84 1.00 1.00 re f
+107.78 83.01 1.00 1.00 re f
+112.12 87.96 1.00 1.00 re f
+113.67 82.58 1.00 1.00 re f
+110.63 83.77 1.00 1.00 re f
+111.32 85.48 1.00 1.00 re f
+114.52 91.91 1.00 1.00 re f
+104.21 79.23 1.00 1.00 re f
+117.42 86.81 1.00 1.00 re f
+105.95 82.56 1.00 1.00 re f
+116.44 86.69 1.00 1.00 re f
+129.19 93.50 1.00 1.00 re f
+114.82 88.19 1.00 1.00 re f
+105.27 83.55 1.00 1.00 re f
+113.02 84.74 1.00 1.00 re f
+116.37 90.16 1.00 1.00 re f
+117.42 93.05 1.00 1.00 re f
+113.87 88.52 1.00 1.00 re f
+105.87 80.90 1.00 1.00 re f
+117.13 82.91 1.00 1.00 re f
+116.33 88.60 1.00 1.00 re f
+109.69 88.71 1.00 1.00 re f
+123.54 90.52 1.00 1.00 re f
+114.38 84.71 1.00 1.00 re f
+114.33 91.10 1.00 1.00 re f
+128.32 96.49 1.00 1.00 re f
+122.97 89.02 1.00 1.00 re f
+106.38 82.60 1.00 1.00 re f
+117.47 90.95 1.00 1.00 re f
+103.75 80.50 1.00 1.00 re f
+121.19 89.59 1.00 1.00 re f
+116.58 89.75 1.00 1.00 re f
+120.21 92.46 1.00 1.00 re f
+116.04 91.39 1.00 1.00 re f
+117.12 89.46 1.00 1.00 re f
+113.49 89.80 1.00 1.00 re f
+114.87 86.41 1.00 1.00 re f
+119.94 92.09 1.00 1.00 re f
+116.29 85.28 1.00 1.00 re f
+108.84 85.50 1.00 1.00 re f
+113.61 85.71 1.00 1.00 re f
+111.67 83.62 1.00 1.00 re f
+115.70 85.86 1.00 1.00 re f
+118.09 91.68 1.00 1.00 re f
+118.23 88.98 1.00 1.00 re f
+114.44 87.90 1.00 1.00 re f
+116.61 86.64 1.00 1.00 re f
+115.69 87.98 1.00 1.00 re f
+116.76 85.10 1.00 1.00 re f
+110.99 82.87 1.00 1.00 re f
+123.95 88.24 1.00 1.00 re f
+118.73 89.83 1.00 1.00 re f
+109.82 85.36 1.00 1.00 re f
+117.09 88.91 1.00 1.00 re f
+109.99 84.95 1.00 1.00 re f
+109.29 85.52 1.00 1.00 re f
+112.16 83.40 1.00 1.00 re f
+117.50 87.34 1.00 1.00 re f
+120.52 86.03 1.00 1.00 re f
+109.89 88.29 1.00 1.00 re f
+112.34 87.63 1.00 1.00 re f
+113.88 91.28 1.00 1.00 re f
+106.09 83.24 1.00 1.00 re f
+109.82 83.64 1.00 1.00 re f
+120.10 89.21 1.00 1.00 re f
+111.62 85.65 1.00 1.00 re f
+120.01 88.01 1.00 1.00 re f
+113.72 87.57 1.00 1.00 re f
+123.55 89.24 1.00 1.00 re f
+113.56 87.16 1.00 1.00 re f
+116.38 89.08 1.00 1.00 re f
+116.73 90.03 1.00 1.00 re f
+103.20 80.41 1.00 1.00 re f
+117.45 90.13 1.00 1.00 re f
+118.29 90.45 1.00 1.00 re f
+109.25 84.36 1.00 1.00 re f
+129.79 94.68 1.00 1.00 re f
+114.11 89.55 1.00 1.00 re f
+119.42 91.09 1.00 1.00 re f
+113.72 85.13 1.00 1.00 re f
+106.86 84.60 1.00 1.00 re f
+102.34 82.11 1.00 1.00 re f
+115.70 86.89 1.00 1.00 re f
+109.69 86.27 1.00 1.00 re f
+117.84 89.76 1.00 1.00 re f
+121.15 93.73 1.00 1.00 re f
+116.49 87.83 1.00 1.00 re f
+120.18 92.25 1.00 1.00 re f
+115.66 86.82 1.00 1.00 re f
+111.41 85.81 1.00 1.00 re f
+118.31 92.77 1.00 1.00 re f
+105.31 80.48 1.00 1.00 re f
+122.45 95.13 1.00 1.00 re f
+112.86 82.02 1.00 1.00 re f
+111.33 84.59 1.00 1.00 re f
+107.65 82.29 1.00 1.00 re f
+117.04 85.42 1.00 1.00 re f
+108.46 81.89 1.00 1.00 re f
+116.71 89.31 1.00 1.00 re f
+116.97 87.23 1.00 1.00 re f
+118.94 89.23 1.00 1.00 re f
+122.28 92.44 1.00 1.00 re f
+112.49 85.51 1.00 1.00 re f
+111.82 87.11 1.00 1.00 re f
+111.83 87.54 1.00 1.00 re f
+111.50 85.10 1.00 1.00 re f
+116.45 87.63 1.00 1.00 re f
+116.15 87.16 1.00 1.00 re f
+112.40 85.32 1.00 1.00 re f
+114.05 84.35 1.00 1.00 re f
+122.45 92.50 1.00 1.00 re f
+116.18 89.48 1.00 1.00 re f
+112.61 87.81 1.00 1.00 re f
+102.00 81.71 1.00 1.00 re f
+105.93 83.82 1.00 1.00 re f
+123.26 90.18 1.00 1.00 re f
+120.29 86.96 1.00 1.00 re f
+108.31 84.37 1.00 1.00 re f
+117.10 86.30 1.00 1.00 re f
+116.66 89.43 1.00 1.00 re f
+117.19 89.86 1.00 1.00 re f
+120.87 89.35 1.00 1.00 re f
+112.54 83.23 1.00 1.00 re f
+126.54 100.11 1.00 1.00 re f
+112.12 89.39 1.00 1.00 re f
+114.54 87.46 1.00 1.00 re f
+117.49 87.55 1.00 1.00 re f
+112.18 86.07 1.00 1.00 re f
+114.93 89.40 1.00 1.00 re f
+116.33 88.30 1.00 1.00 re f
+119.93 91.67 1.00 1.00 re f
+117.18 88.90 1.00 1.00 re f
+121.40 90.35 1.00 1.00 re f
+114.21 83.62 1.00 1.00 re f
+124.03 89.56 1.00 1.00 re f
+108.11 82.73 1.00 1.00 re f
+113.76 85.13 1.00 1.00 re f
+116.05 88.64 1.00 1.00 re f
+118.32 87.59 1.00 1.00 re f
+118.45 90.44 1.00 1.00 re f
+109.87 87.02 1.00 1.00 re f
+107.10 84.47 1.00 1.00 re f
+112.84 85.16 1.00 1.00 re f
+110.13 84.67 1.00 1.00 re f
+117.49 89.39 1.00 1.00 re f
+115.05 86.50 1.00 1.00 re f
+118.19 87.99 1.00 1.00 re f
+109.82 86.26 1.00 1.00 re f
+118.01 86.35 1.00 1.00 re f
+121.08 89.78 1.00 1.00 re f
+120.34 87.13 1.00 1.00 re f
+109.73 87.95 1.00 1.00 re f
+113.75 85.22 1.00 1.00 re f
+114.42 88.17 1.00 1.00 re f
+116.96 89.21 1.00 1.00 re f
+113.25 86.85 1.00 1.00 re f
+119.60 84.91 1.00 1.00 re f
+117.57 87.95 1.00 1.00 re f
+113.07 86.79 1.00 1.00 re f
+119.82 90.15 1.00 1.00 re f
+109.47 83.47 1.00 1.00 re f
+110.09 84.92 1.00 1.00 re f
+125.34 93.34 1.00 1.00 re f
+121.13 93.82 1.00 1.00 re f
+113.59 85.24 1.00 1.00 re f
+121.11 87.37 1.00 1.00 re f
+118.96 89.32 1.00 1.00 re f
+113.64 91.06 1.00 1.00 re f
+120.95 91.79 1.00 1.00 re f
+108.46 82.83 1.00 1.00 re f
+113.60 85.88 1.00 1.00 re f
+120.04 89.78 1.00 1.00 re f
+115.47 84.07 1.00 1.00 re f
+116.81 85.82 1.00 1.00 re f
+110.81 83.80 1.00 1.00 re f
+112.29 87.64 1.00 1.00 re f
+116.01 83.86 1.00 1.00 re f
+120.03 87.76 1.00 1.00 re f
+113.26 85.48 1.00 1.00 re f
+121.93 91.59 1.00 1.00 re f
+113.00 83.37 1.00 1.00 re f
+114.84 91.73 1.00 1.00 re f
+114.16 87.03 1.00 1.00 re f
+116.30 91.53 1.00 1.00 re f
+115.43 84.62 1.00 1.00 re f
+118.54 90.83 1.00 1.00 re f
+114.21 91.51 1.00 1.00 re f
+111.58 90.47 1.00 1.00 re f
+110.21 87.63 1.00 1.00 re f
+119.57 90.25 1.00 1.00 re f
+115.65 88.87 1.00 1.00 re f
+115.77 86.10 1.00 1.00 re f
+115.86 90.16 1.00 1.00 re f
+115.09 85.32 1.00 1.00 re f
+120.20 93.02 1.00 1.00 re f
+108.71 85.90 1.00 1.00 re f
+113.65 86.55 1.00 1.00 re f
+110.48 85.97 1.00 1.00 re f
+118.67 88.28 1.00 1.00 re f
+121.87 90.11 1.00 1.00 re f
+114.45 88.40 1.00 1.00 re f
+116.01 85.94 1.00 1.00 re f
+122.90 95.07 1.00 1.00 re f
+117.95 92.63 1.00 1.00 re f
+112.99 87.38 1.00 1.00 re f
+119.42 86.62 1.00 1.00 re f
+121.08 88.50 1.00 1.00 re f
+108.37 83.10 1.00 1.00 re f
+108.21 82.97 1.00 1.00 re f
+115.51 87.39 1.00 1.00 re f
+108.09 85.44 1.00 1.00 re f
+103.77 80.14 1.00 1.00 re f
+108.07 82.94 1.00 1.00 re f
+111.19 81.46 1.00 1.00 re f
+120.91 83.73 1.00 1.00 re f
+120.50 87.76 1.00 1.00 re f
+125.48 91.43 1.00 1.00 re f
+107.46 82.86 1.00 1.00 re f
+117.71 88.00 1.00 1.00 re f
+121.75 91.41 1.00 1.00 re f
+112.57 87.18 1.00 1.00 re f
+112.90 87.43 1.00 1.00 re f
+114.96 85.08 1.00 1.00 re f
+108.55 83.82 1.00 1.00 re f
+113.57 84.36 1.00 1.00 re f
+122.05 91.24 1.00 1.00 re f
+115.60 88.44 1.00 1.00 re f
+117.11 87.02 1.00 1.00 re f
+120.60 89.27 1.00 1.00 re f
+118.31 86.96 1.00 1.00 re f
+124.79 88.67 1.00 1.00 re f
+115.37 87.15 1.00 1.00 re f
+123.58 94.76 1.00 1.00 re f
+113.29 88.90 1.00 1.00 re f
+109.63 82.40 1.00 1.00 re f
+123.97 95.42 1.00 1.00 re f
+119.63 89.70 1.00 1.00 re f
+107.75 84.81 1.00 1.00 re f
+117.74 85.95 1.00 1.00 re f
+118.27 87.72 1.00 1.00 re f
+118.05 89.94 1.00 1.00 re f
+107.65 78.28 1.00 1.00 re f
+118.15 90.80 1.00 1.00 re f
+118.58 89.09 1.00 1.00 re f
+114.29 85.13 1.00 1.00 re f
+113.50 84.15 1.00 1.00 re f
+118.24 91.55 1.00 1.00 re f
+122.37 90.63 1.00 1.00 re f
+122.88 95.58 1.00 1.00 re f
+112.81 85.08 1.00 1.00 re f
+110.46 85.47 1.00 1.00 re f
+116.75 90.69 1.00 1.00 re f
+111.18 84.56 1.00 1.00 re f
+108.32 84.17 1.00 1.00 re f
+112.15 89.80 1.00 1.00 re f
+119.13 90.78 1.00 1.00 re f
+107.30 85.76 1.00 1.00 re f
+120.52 91.79 1.00 1.00 re f
+118.01 89.97 1.00 1.00 re f
+106.30 80.91 1.00 1.00 re f
+111.86 83.13 1.00 1.00 re f
+125.79 91.25 1.00 1.00 re f
+116.94 89.02 1.00 1.00 re f
+105.85 84.69 1.00 1.00 re f
+113.77 87.51 1.00 1.00 re f
+120.06 88.43 1.00 1.00 re f
+112.51 88.22 1.00 1.00 re f
+104.42 83.49 1.00 1.00 re f
+113.61 87.14 1.00 1.00 re f
+108.89 85.13 1.00 1.00 re f
+113.70 84.92 1.00 1.00 re f
+118.02 88.85 1.00 1.00 re f
+121.36 89.56 1.00 1.00 re f
+122.00 89.33 1.00 1.00 re f
+115.10 88.19 1.00 1.00 re f
+117.02 86.40 1.00 1.00 re f
+123.83 95.54 1.00 1.00 re f
+115.41 87.15 1.00 1.00 re f
+116.92 92.44 1.00 1.00 re f
+111.57 85.24 1.00 1.00 re f
+110.27 84.35 1.00 1.00 re f
+109.04 83.44 1.00 1.00 re f
+117.87 89.04 1.00 1.00 re f
+118.34 91.36 1.00 1.00 re f
+115.12 85.29 1.00 1.00 re f
+111.52 87.36 1.00 1.00 re f
+119.74 91.03 1.00 1.00 re f
+106.17 81.65 1.00 1.00 re f
+111.57 84.11 1.00 1.00 re f
+109.91 84.66 1.00 1.00 re f
+114.86 85.39 1.00 1.00 re f
+117.77 90.31 1.00 1.00 re f
+113.70 83.06 1.00 1.00 re f
+115.52 85.21 1.00 1.00 re f
+119.24 88.12 1.00 1.00 re f
+126.47 98.62 1.00 1.00 re f
+105.71 81.19 1.00 1.00 re f
+115.40 87.97 1.00 1.00 re f
+120.65 93.86 1.00 1.00 re f
+117.99 85.51 1.00 1.00 re f
+112.79 86.78 1.00 1.00 re f
+115.35 90.22 1.00 1.00 re f
+113.13 85.97 1.00 1.00 re f
+116.32 85.29 1.00 1.00 re f
+115.78 85.24 1.00 1.00 re f
+119.25 89.91 1.00 1.00 re f
+116.00 84.84 1.00 1.00 re f
+126.01 94.22 1.00 1.00 re f
+117.30 90.16 1.00 1.00 re f
+112.60 85.27 1.00 1.00 re f
+109.97 85.88 1.00 1.00 re f
+117.03 88.80 1.00 1.00 re f
+117.43 88.42 1.00 1.00 re f
+122.66 88.95 1.00 1.00 re f
+120.11 89.10 1.00 1.00 re f
+117.40 89.16 1.00 1.00 re f
+118.37 85.79 1.00 1.00 re f
+109.99 85.21 1.00 1.00 re f
+107.48 83.77 1.00 1.00 re f
+108.18 85.53 1.00 1.00 re f
+110.67 89.18 1.00 1.00 re f
+119.14 89.95 1.00 1.00 re f
+112.05 84.53 1.00 1.00 re f
+115.78 88.70 1.00 1.00 re f
+108.82 81.15 1.00 1.00 re f
+112.63 88.54 1.00 1.00 re f
+108.19 83.37 1.00 1.00 re f
+114.09 85.04 1.00 1.00 re f
+106.56 82.97 1.00 1.00 re f
+113.22 86.24 1.00 1.00 re f
+105.77 79.10 1.00 1.00 re f
+113.19 85.61 1.00 1.00 re f
+112.49 89.48 1.00 1.00 re f
+118.14 88.97 1.00 1.00 re f
+116.13 86.19 1.00 1.00 re f
+117.87 89.54 1.00 1.00 re f
+107.39 85.24 1.00 1.00 re f
+117.45 88.19 1.00 1.00 re f
+116.74 84.29 1.00 1.00 re f
+129.15 93.11 1.00 1.00 re f
+108.61 83.11 1.00 1.00 re f
+111.77 89.12 1.00 1.00 re f
+120.12 95.18 1.00 1.00 re f
+113.41 89.82 1.00 1.00 re f
+120.73 94.49 1.00 1.00 re f
+119.18 89.36 1.00 1.00 re f
+113.50 86.40 1.00 1.00 re f
+117.69 88.90 1.00 1.00 re f
+114.48 85.80 1.00 1.00 re f
+118.17 85.84 1.00 1.00 re f
+121.60 91.65 1.00 1.00 re f
+122.15 94.30 1.00 1.00 re f
+120.19 92.24 1.00 1.00 re f
+117.56 90.14 1.00 1.00 re f
+117.08 89.48 1.00 1.00 re f
+112.62 89.68 1.00 1.00 re f
+117.83 86.23 1.00 1.00 re f
+117.02 93.16 1.00 1.00 re f
+116.14 87.20 1.00 1.00 re f
+113.63 86.75 1.00 1.00 re f
+115.93 88.23 1.00 1.00 re f
+116.56 88.42 1.00 1.00 re f
+121.74 94.84 1.00 1.00 re f
+114.64 84.60 1.00 1.00 re f
+110.70 87.44 1.00 1.00 re f
+110.11 84.91 1.00 1.00 re f
+117.40 88.78 1.00 1.00 re f
+112.65 89.78 1.00 1.00 re f
+105.90 85.09 1.00 1.00 re f
+114.60 87.81 1.00 1.00 re f
+119.52 88.31 1.00 1.00 re f
+115.53 84.75 1.00 1.00 re f
+116.78 88.85 1.00 1.00 re f
+124.31 91.50 1.00 1.00 re f
+122.52 90.00 1.00 1.00 re f
+117.69 84.70 1.00 1.00 re f
+111.05 87.96 1.00 1.00 re f
+113.10 87.31 1.00 1.00 re f
+107.23 83.27 1.00 1.00 re f
+114.68 83.43 1.00 1.00 re f
+111.72 87.13 1.00 1.00 re f
+116.10 87.27 1.00 1.00 re f
+110.04 86.52 1.00 1.00 re f
+106.71 82.48 1.00 1.00 re f
+114.65 86.10 1.00 1.00 re f
+111.32 82.18 1.00 1.00 re f
+122.33 90.81 1.00 1.00 re f
+122.88 94.71 1.00 1.00 re f
+110.57 87.36 1.00 1.00 re f
+113.06 85.89 1.00 1.00 re f
+121.31 92.26 1.00 1.00 re f
+113.85 84.50 1.00 1.00 re f
+121.94 87.07 1.00 1.00 re f
+113.49 82.33 1.00 1.00 re f
+118.54 93.72 1.00 1.00 re f
+116.09 86.63 1.00 1.00 re f
+117.90 90.05 1.00 1.00 re f
+115.23 87.36 1.00 1.00 re f
+123.31 94.30 1.00 1.00 re f
+114.05 82.85 1.00 1.00 re f
+117.51 90.48 1.00 1.00 re f
+114.36 83.14 1.00 1.00 re f
+114.29 84.83 1.00 1.00 re f
+102.53 81.78 1.00 1.00 re f
+119.93 90.56 1.00 1.00 re f
+124.24 91.57 1.00 1.00 re f
+120.59 89.63 1.00 1.00 re f
+121.71 89.53 1.00 1.00 re f
+114.56 87.17 1.00 1.00 re f
+108.37 81.59 1.00 1.00 re f
+111.24 83.67 1.00 1.00 re f
+120.53 89.07 1.00 1.00 re f
+117.36 89.16 1.00 1.00 re f
+122.49 88.27 1.00 1.00 re f
+120.52 88.25 1.00 1.00 re f
+110.13 88.63 1.00 1.00 re f
+110.44 82.25 1.00 1.00 re f
+112.08 86.46 1.00 1.00 re f
+109.11 85.63 1.00 1.00 re f
+125.69 94.49 1.00 1.00 re f
+123.13 90.27 1.00 1.00 re f
+116.64 84.69 1.00 1.00 re f
+122.64 92.32 1.00 1.00 re f
+119.09 87.75 1.00 1.00 re f
+111.15 89.64 1.00 1.00 re f
+113.74 87.18 1.00 1.00 re f
+104.71 81.30 1.00 1.00 re f
+109.56 85.63 1.00 1.00 re f
+107.02 82.84 1.00 1.00 re f
+108.46 85.48 1.00 1.00 re f
+116.08 85.64 1.00 1.00 re f
+121.75 89.45 1.00 1.00 re f
+112.79 84.90 1.00 1.00 re f
+116.05 89.93 1.00 1.00 re f
+118.55 90.63 1.00 1.00 re f
+107.56 83.92 1.00 1.00 re f
+114.82 89.43 1.00 1.00 re f
+113.93 87.46 1.00 1.00 re f
+100.48 79.68 1.00 1.00 re f
+121.75 92.43 1.00 1.00 re f
+108.44 83.07 1.00 1.00 re f
+110.08 81.74 1.00 1.00 re f
+112.30 84.83 1.00 1.00 re f
+113.30 87.52 1.00 1.00 re f
+114.06 85.66 1.00 1.00 re f
+118.48 91.87 1.00 1.00 re f
+111.82 89.24 1.00 1.00 re f
+113.13 87.14 1.00 1.00 re f
+118.32 88.47 1.00 1.00 re f
+116.14 90.08 1.00 1.00 re f
+115.83 89.75 1.00 1.00 re f
+120.25 89.68 1.00 1.00 re f
+114.24 90.35 1.00 1.00 re f
+118.87 85.40 1.00 1.00 re f
+115.58 90.55 1.00 1.00 re f
+114.84 88.34 1.00 1.00 re f
+106.23 82.71 1.00 1.00 re f
+114.83 84.88 1.00 1.00 re f
+128.15 95.54 1.00 1.00 re f
+117.60 90.89 1.00 1.00 re f
+117.74 87.83 1.00 1.00 re f
+109.63 86.90 1.00 1.00 re f
+107.03 83.73 1.00 1.00 re f
+107.45 82.52 1.00 1.00 re f
+121.41 86.14 1.00 1.00 re f
+113.08 87.77 1.00 1.00 re f
+110.75 86.23 1.00 1.00 re f
+119.25 85.51 1.00 1.00 re f
+109.98 85.36 1.00 1.00 re f
+116.75 88.42 1.00 1.00 re f
+118.39 93.26 1.00 1.00 re f
+113.65 88.41 1.00 1.00 re f
+102.56 80.08 1.00 1.00 re f
+108.97 84.14 1.00 1.00 re f
+112.27 84.40 1.00 1.00 re f
+114.87 82.68 1.00 1.00 re f
+120.30 89.18 1.00 1.00 re f
+113.81 86.63 1.00 1.00 re f
+108.26 85.02 1.00 1.00 re f
+121.52 92.97 1.00 1.00 re f
+116.61 86.26 1.00 1.00 re f
+110.26 79.80 1.00 1.00 re f
+118.51 86.01 1.00 1.00 re f
+121.66 92.31 1.00 1.00 re f
+112.94 85.54 1.00 1.00 re f
+118.29 88.66 1.00 1.00 re f
+108.44 85.03 1.00 1.00 re f
+113.46 87.30 1.00 1.00 re f
+113.86 85.99 1.00 1.00 re f
+118.48 92.25 1.00 1.00 re f
+121.57 87.90 1.00 1.00 re f
+126.72 94.99 1.00 1.00 re f
+110.31 89.01 1.00 1.00 re f
+100.00 76.17 1.00 1.00 re f
+121.84 91.65 1.00 1.00 re f
+114.23 84.68 1.00 1.00 re f
+124.63 91.59 1.00 1.00 re f
+110.09 86.69 1.00 1.00 re f
+105.57 80.70 1.00 1.00 re f
+120.67 91.72 1.00 1.00 re f
+110.52 87.02 1.00 1.00 re f
+115.90 88.04 1.00 1.00 re f
+113.86 85.48 1.00 1.00 re f
+112.28 81.24 1.00 1.00 re f
+109.96 86.74 1.00 1.00 re f
+113.96 86.84 1.00 1.00 re f
+117.34 87.73 1.00 1.00 re f
+121.22 90.62 1.00 1.00 re f
+126.63 87.17 1.00 1.00 re f
+117.77 88.11 1.00 1.00 re f
+117.57 86.64 1.00 1.00 re f
+117.34 85.01 1.00 1.00 re f
+110.71 85.41 1.00 1.00 re f
+117.32 86.18 1.00 1.00 re f
+109.41 88.88 1.00 1.00 re f
+118.51 88.57 1.00 1.00 re f
+129.42 97.68 1.00 1.00 re f
+111.52 82.95 1.00 1.00 re f
+110.17 86.30 1.00 1.00 re f
+113.01 83.55 1.00 1.00 re f
+112.99 86.18 1.00 1.00 re f
+111.53 89.97 1.00 1.00 re f
+117.01 86.96 1.00 1.00 re f
+129.93 95.28 1.00 1.00 re f
+116.88 86.29 1.00 1.00 re f
+115.20 90.68 1.00 1.00 re f
+118.67 90.55 1.00 1.00 re f
+123.45 91.68 1.00 1.00 re f
+114.31 83.13 1.00 1.00 re f
+117.23 85.80 1.00 1.00 re f
+113.18 89.25 1.00 1.00 re f
+106.59 83.35 1.00 1.00 re f
+124.82 94.70 1.00 1.00 re f
+120.28 93.17 1.00 1.00 re f
+103.96 83.40 1.00 1.00 re f
+113.82 85.82 1.00 1.00 re f
+119.11 88.43 1.00 1.00 re f
+112.82 86.87 1.00 1.00 re f
+112.19 84.09 1.00 1.00 re f
+119.43 91.91 1.00 1.00 re f
+121.67 89.49 1.00 1.00 re f
+110.44 85.27 1.00 1.00 re f
+114.92 84.39 1.00 1.00 re f
+122.90 97.81 1.00 1.00 re f
+111.35 83.75 1.00 1.00 re f
+110.28 88.58 1.00 1.00 re f
+119.51 87.39 1.00 1.00 re f
+115.72 86.34 1.00 1.00 re f
+108.39 84.39 1.00 1.00 re f
+122.54 91.53 1.00 1.00 re f
+111.34 87.52 1.00 1.00 re f
+114.09 86.79 1.00 1.00 re f
+118.65 89.82 1.00 1.00 re f
+114.41 87.33 1.00 1.00 re f
+110.60 84.39 1.00 1.00 re f
+111.86 84.18 1.00 1.00 re f
+111.81 82.91 1.00 1.00 re f
+115.85 88.51 1.00 1.00 re f
+102.64 77.90 1.00 1.00 re f
+118.32 90.66 1.00 1.00 re f
+122.50 90.03 1.00 1.00 re f
+116.70 89.31 1.00 1.00 re f
+119.56 88.00 1.00 1.00 re f
+111.48 82.33 1.00 1.00 re f
+123.42 94.54 1.00 1.00 re f
+112.64 85.37 1.00 1.00 re f
+110.35 87.70 1.00 1.00 re f
+115.62 86.67 1.00 1.00 re f
+116.25 85.02 1.00 1.00 re f
+114.28 87.08 1.00 1.00 re f
+110.29 86.18 1.00 1.00 re f
+118.99 89.75 1.00 1.00 re f
+124.04 91.52 1.00 1.00 re f
+111.27 84.79 1.00 1.00 re f
+112.24 87.06 1.00 1.00 re f
+111.01 86.46 1.00 1.00 re f
+108.23 79.52 1.00 1.00 re f
+101.64 79.39 1.00 1.00 re f
+119.26 87.64 1.00 1.00 re f
+106.63 82.08 1.00 1.00 re f
+123.58 93.35 1.00 1.00 re f
+116.53 85.44 1.00 1.00 re f
+119.50 88.85 1.00 1.00 re f
+114.23 91.80 1.00 1.00 re f
+119.49 88.92 1.00 1.00 re f
+110.53 85.51 1.00 1.00 re f
+111.32 86.81 1.00 1.00 re f
+108.79 83.48 1.00 1.00 re f
+106.04 82.81 1.00 1.00 re f
+116.03 84.35 1.00 1.00 re f
+119.08 87.16 1.00 1.00 re f
+119.25 88.71 1.00 1.00 re f
+107.89 82.28 1.00 1.00 re f
+113.75 85.99 1.00 1.00 re f
+113.17 87.86 1.00 1.00 re f
+126.30 91.30 1.00 1.00 re f
+117.96 90.92 1.00 1.00 re f
+114.79 90.95 1.00 1.00 re f
+114.49 87.67 1.00 1.00 re f
+103.99 81.54 1.00 1.00 re f
+102.43 80.83 1.00 1.00 re f
+100.99 79.89 1.00 1.00 re f
+113.34 88.62 1.00 1.00 re f
+Q q -216.00 -216.00 864.00 864.00 re W n
+Q
+endstream
 endobj
-2550 0 obj <<
-/Type /Page
-/Contents 2551 0 R
-/Resources 2549 0 R
-/MediaBox [0 0 612 792]
-/Parent 2553 0 R
+2749 0 obj
+<<
+/CreationDate (D:20070601024038)
+/ModDate (D:20070601024038)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2750 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2751 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2753 0 R
+>>
+endobj
+2752 0 obj
+29800
+endobj
+2753 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2747 0 obj <<
+/D [2745 0 R /XYZ 72 720 null]
 >> endobj
-2552 0 obj <<
-/D [2550 0 R /XYZ 72 720 null]
+2748 0 obj <<
+/D [2745 0 R /XYZ 72 307.046 null]
 >> endobj
-2549 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F76 747 0 R >>
+2744 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F35 663 0 R /F38 1435 0 R /F69 550 0 R >>
+/XObject << /Im22 2738 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2556 0 obj <<
-/Length 1731      
+2756 0 obj <<
+/Length 2585      
 /Filter /FlateDecode
 >>
 stream
-xڅXKo�F��W>Q��pwI�
�
�&@�(b�h��)�E*$eK>�w���(Z�{�1;3;�of�������x�b_�hr���z��4�����*�W�L������88!�?L�$`�MIT��~�NhG�#��8�7�Y���
�t�T�'m9��0�>
-���^`Y{��UC��m�XWXU޲�I#�_��OfN�L+?U	K�	
��H\�WS�t�Y��iz�a
���� Y����̺�2cV'��_l���LU,,���S0�FdB��Ic���DQ�F�9
���׉��sK䡚�Jn����ە^�

��[e��eE۱Rw����By]��WM��ή�A&���Wlv�`)k�ӈ.�kdļ�����w۫�9אT�.��)�}^��j�8%4	�E����b�m,(Bq'geRT���`Y7�u��|�(/`�5�l]�JF�\��ds� ��UO(�;�k
x7|�|t�9_�&_��
��eU*�%�c`���B�d�-����{��M{�k�ۭ)[h�#c8���R��Q����7�ʳ�!�O���q ���*�
}D���ُ4�ay��Dt���D�E�K�_t}N`�
�(a�|�r�ܔ���75b)���s�(��*���g���� 

��;��m���p�
r�P���>d�:��
,ۗXg�ίwP�]d?���\�3�
Y��j
�&��4.L/@���(��rI���E�k{
��1�$���ZG
-��c�ݸђ]� ���hp�ց,��J��=?�˖��)�I��B����]]�J ���'��
v��E�����>��O�~�(m�(�
-&d���"�Z���%14�1t42{����
,�r�>򑵬�(�7d��d���bnY�An�d�f����&�H'WXK�1"{(��l�'�nj'a߮�]�	*
���yd�x�\�!�
��L�%��ui�gE֣
}���WPsK?[*!D{�h�2Hq
e"߄ft��8�1$�����GI�D
^��#+zH�q
%�R��@E
-v��|���o�s�θO�v��bZ��H��
5q<D!󑵥u �g����زp�'�nɬ����mq��n���(
���
U?˗�:���Ͻ�
�#w�(�@�Bi�΍��K�d�:����L�D����VU-� ��n��X�CϏ7��
-��s��
��-�
�Зe*��&�eBy�	����HO""N�h>w��ۅ��Q�� ���Γz��q��
�/��$'��*���/�
|mBG@���F�������j�}���͖��K���h�xT��3I���ͤθ.j(2��J1�;��¨�H��$7!ߥ~�E�Gp�Y�_
"
��4c���p-�Mz�

M����/��g�a��]KQD��H��\c�-����{
�A��_�1I/6xG���
-3许�**�0T�{0��P��
�iq�6G�n ]��
]�A���/s[k���9Ц��M4.��.�	���aqy���j�ti�3:O�{~�֣��	~�J
�����5tE���
=���)C-����p�v�u^4BK����>�
�"t��
��̹�/�+�2x�
_�ͅ��4
-z�[���
-]%z+��J
���6���j��%5.`���ǧ� �\�ҌK�*�@*7C���1��cbah�ۼ,*��hL�yg��PTb2!gG|��l/V,��$��j~	^}��<��pA�
h�����H��z>��s?v,4��ۯ�ݾ�#;Ykendstream
+x��Z[o7~��}��
.�C�]�� �K[��h7Ƀ"K^��Ֆ������
��HJ
�ȃ���sxx.��ΐ_�
��c�a�X���u�y��!T��٫�s6{X���\����su?o���\������
F��7�/1���DL�5-�)��z�
#y1�MUC���:���w��#�o筻\����
5{7Wj放t���*N�x��@�K��׸�/�c
��	J4O@(
Ӻ���LN�L�[\���B�t�Y�-���"� X��ه0~}���+7x9�������y�D��qX���JZI:*<I��~=�Tl��a��"I�D
�S]����tR��;U�H����j7�#�lZDE����Z�b�n�Q~�
UF7p�n�x;�"D�:*�X�B�jTd"
k�1�)�5I��j두$
+I�[���#%ið8N:n�N)�H4˫�_�^����m^
Q"�i��.lsu���?|�<�����6	k3i_;�&_`?%~b��ߏV�0�Y�D�o��ޠMk	����Kx���cNΣNX�ɂa�D�oy��~�(��=��ܚP-
R��0�����p$�>
K�څPV�OM*
�$�@j��0H���T\.��YTt� �}�m���*|��_��Ї�}*]��#�{X]?��x纈���=�e��W>��d���]��L
+��$2��g(�,�j�D�
:P��jn\�]0��,��[b����\D;q�I���s��L%���;;(���OO(�ۄ�<�����*$H,��U�;�@	��y]^��_ǀڡ��N�k�	�����6�9��H�v�rd�f�D�J8�ޚQ3����m����K�����Y�`j!��
+9�'�ӉdpWa��wV���}v��=Vc��
+
��r���"��j|���C'�+wa
�Z	c�p���"��w|t�C���/笛�s��^���_ߺt��ly��b�C�SH��>{忺��㿃�{������T�Ŀ����f��ѡ��Z$��
+�
+9� x�!w�	���#���0�Gv�8 at P]�c��У�d�',���V��,x���C0Ā�nd��-��O���rY���!̘���t�T�IV�	
����qF #vj]W��5c�n`0'(�/
�|��(����"�s��賃BA:<��H�\��a␘:��rbL����w��f�� T����w�:�'5, �2Bx�s��URl�.q�0����k��yyhO��$	�z�LP��

H9Q��#��
���
Mu�Iƫj��?7 u|S�`��>��Nnv�ף񄭠�H�^� qb~���桬fP4�\�N1�NM
o�!�:j�=p�T���4����٘�'�ؾ������Y_����IӞEyc{���	�z��:P���
+,�v˂��$gA���~C��
UM(F�-��ttK�4�����*��gp��k��E�c���+���?���JL��o^�۷�o��-Sz7\���K=߽O�>D�)�����j�*�� �|�UD�����==l��g�q�K��V;�MA�!�(h'
+��T�|���8��P�v�PK�5<t��И�*5⡶3��C�2.�w�P� ���=��FQ� ��B�|`�Z�Ou9AB�����"	�5j�I�h�&��~�"0��f���8�H�}D�?��T^}$��w�(�!�q&dm��!�
n#��Z�Y��AK��,
nj58ŋ�� �H�'���S���3��(�%�)?��������d��R��'�5�;�����&
����o�Ž��}e*Z
�8Ͷ�n�]����xoG�*wA���c�vh���e�Z��!n�����;��=xO�Ҏ
�����2�)v�D�ʋ-?���������!mpƍ��d�v����>H&-����"��po����z1��D��J.��^��!��Mo&~��xpH�����m��-��
,��C��/,Ũ�c��r�\E�g������E\�e
u��)_
B�2�/΍��kC�N�����Y(�K at C�߉i��@�r^�������|�U��⸁��"��y�Hb(��`�π�� [...]
+��8��[�t��
)�wX��p�򩍷�Ҽ�'��IH�˩�}��$�����#zY���l50�z�Y���{��Z��q[�O����}z�endstream
 endobj
-2555 0 obj <<
+2755 0 obj <<
 /Type /Page
-/Contents 2556 0 R
-/Resources 2554 0 R
+/Contents 2756 0 R
+/Resources 2754 0 R
 /MediaBox [0 0 612 792]
-/Parent 2553 0 R
-/Annots [ 2558 0 R ]
->> endobj
-2558 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [111.975 605.712 140.631 618.331]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.19) >>
->> endobj
-2557 0 obj <<
-/D [2555 0 R /XYZ 72 720 null]
->> endobj
-398 0 obj <<
-/D [2555 0 R /XYZ 72 720 null]
->> endobj
-2559 0 obj <<
-/D [2555 0 R /XYZ 72 567.812 null]
+/Parent 2760 0 R
 >> endobj
-2560 0 obj <<
-/D [2555 0 R /XYZ 72 485.579 null]
+2757 0 obj <<
+/D [2755 0 R /XYZ 72 720 null]
 >> endobj
-1309 0 obj <<
-/D [2555 0 R /XYZ 72 311.191 null]
+2758 0 obj <<
+/D [2755 0 R /XYZ 72 698.015 null]
 >> endobj
-2561 0 obj <<
-/D [2555 0 R /XYZ 72 316.173 null]
+2759 0 obj <<
+/D [2755 0 R /XYZ 72 244.25 null]
 >> endobj
-2554 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R >>
+2754 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2564 0 obj <<
-/Length 1217      
+2763 0 obj <<
+/Length 2261      
 /Filter /FlateDecode
 >>
 stream
-x��W�n�6��+
#��"%��b�C�l�mn�
�I��RbɎw���R�+i�ۢ(��$�����{3��'o�/‰�"�zrq5��*ѓE��0&����w�@�x�s9{09=o��]`ߍ!Y����P���Wo!�gV����hc%�ڗ�	r���ϓp�X�qrd��9�`E�k���
}��a�>�閞�iL
3
u�߼W� �J�cv�GS�y@��yK�*&���Jgے�++�ۘU�tCm-ח��eQmak�
��
�P1����©dÜ(���������6��-I-��4�ʹ�*>�22S-y���}�7f��8�������(-E
F^s�5��?v<�D-�z����Z�m
+DN���
-�"Q���;�5<=�|A�u;�ƒ�~�5=5�� 4�kzt��C�^< �L��рa�547�
�����9��q�G*C8��Gj�a��VJ�$N��L��<*L:,��3�yٚM�x��nN�;�n�����4� Q:!߲1��#��T��qU�

$��
:���*|c�1�G�Q8���CY����hݥ�?��M��,�b$,>�\<J��r�r������y-�b����J��:�
y���s|8�g6��0��JSL�:�-�\�r
-OK��Ly!8�����S
q��LeijG��p�XBש~�`O\(V�b�%ΉsX6KsM�;	F�x*R5���ƅ��l�fPZ�Q���:t�������D%�{�N=H*1�4��зp͡�X�Ɛ�J'��=�zK�����2L�!Xr\:{2#BJ�w޴ź/\=�y������� ���뚚QŔo��G���B�<��83���?o`T8�#-��MJ��l�#]
��
ZZ�A�`R� L�m�YS��b,Ū#�f̤�.H���"g���� '���5D�X���G���Ѩ��vz0��^��7c�<*x{O��@Jr"��o����n�7c`��$��^M��_�C���e��ȓ�ҭc;��2W
~��3C�5q�:m)��mY>��
��]����;�<f}C���5��a����Z����+�~����(�
2*E��d����vT�Q[[]i_����1��D�kdq�`D
�1eQ���P!&2�GM�s"�׶yg�F���rӝ��M����w=��$]� �Yz1Ͽ����[�z���r������[�~���?o9ꅷ
���
�i�LȗL�ij�Hv
-�󋓿 �;��endstream
+x��Z�o�6߿"8�A�,�I-Ї=����6w�C��-'j;��dw
��~Cr(�2e;��>�I$����
�������cL�1Fj�����$����PK��O�_�?g�����\�9Q��Q?�vƪ;h
�������@��	�`����ͥ��n�X���\���T2�&6
��S�
��S
�ha
I��|�+,�(�B��c�0X��悫�x[�\�PNB���=j�{��_�q��}Z��~F/�^�qg�1É�Q��P�!��� X�3bjᇴ"��Ά1�)�%J�N)�V��J<�D��2��
I��۪	w�O��h�
����
�=a�JA����5z�vE���ǜ��շ��30	vD�P1D�#5�Ȅ��}j.��M�$Y��zۍ�g�uK	�Y��`=:�� ��&L���'�Œ����݄+2K�P��aw��;���dh 0:�Pj���ǒ1&�
B�܃�
�ݓ��b��D"� o5��9<6�><p
�ԇ�R��[\�AbJ�F��]�"C����6���ʼniLj�po�`v��
��'�$
t�d�����YTP�3������7��9|�	�?�}[શD0����e��57�B��qc�%q64
�����r�� �%�ڄ�{��M�m��8Ǽ� [...]
µ(�
�bx���R�S��
�{��ϊF�s��A���6�
�[���&n�0�S}l��aO�
i���V�@m�&�8�tqo��
��3�۪����̞j_��$LD�튙 ����l.i
��!
H�]��w�a9�|�=
ǣj�FO5�^g=�7F at 4<
/E�tk,�9h�z`D Q��TD8�'��-2��u
����
+� �����T�>�j8&��
&�?θ�g;g���sB��C<��.�s!ޅ�d�KQ��� ~�h�?��t
�L�?
��w]@��o�rWZ�yY��v{�d�eG�(��Q
��8���d��mM!����k�)pl4����G�
��ѐՔP���"��3�|�߽��lo{$i�rFq�Q8��a��K� ̧ �T����
+���H*�}�V]�?��}�g
l�eb�
:꾒�E�D�In�
�V�-VbX��^��F�݀�d�^�(�Ho;�2�倡�5��#��@�M���:ڑКh�v�{I�4-ö��}�Od�X���z���^������*]㘤�Qٝ��^/9�^*h���}� }1L�����L��\��vu�� !
����P��SN�O��<ܚ#�ɭ�(h�^U�
Gx�"��&�^'���
mf�&�1L_$�(1G�;��&�rt�|��jA$)d�()�@x*9���|��B����)���϶��D~�g��ex��F8��e��򟢅A���O�Uh?p�ش��O�T*�T���|j�xC���j\Kd��$�D��,搣#dN�s�jyO�U����
+�1e'q[�=���$�S�͑�lj4�s�
�CĤ�k�P�sR�=��a-L��8��P(mr�"�Pn �+���1����)�'�%��
ܟ&
.�|>������Dz7Y����&���CJ�C`�T\c�U���oj
�m�mASIݾ�~�|,X�<֢�a��˕�y*��S3Sy�Q��j�5=�
�#�v�]��ޫq�հPQ�~�!]�/��K�n(����j�iԢ����5ΰ���w���n��>�/����
���N�kt�\���6�:��oQ��P��㳿G�€ۤ�����,l��z�����O]���G��
�	��m��=�1�=��.�t��u4��	�˨�P;r�K��l�T��
+gp�p�kX�����]��T�$���r���EZ
�'��
N� ǡQlb
>���{&$^�4���O�X�{ �7�!��zӿޯc����
~���
QJg.VF?V�%�y�@�2�(?���۵��~����������_���R&C�L�_È('U9�)hB�>?��
�75ѐu������R���S]]���h�A5x"�}6ЅiϽ�{��*����
�v�0t��OH���_%���C��}�z(���(��&<���u�
,�����D.�,�R������iH��Mjy?
+
l�(Ҧ����@�q1\�^E������
It�E}���
�Ĉ-	~����g6g��Z�C�ޱ�
�~N�qo��}y�g95p6������`�
�E���=�_"��endstream
 endobj
-2563 0 obj <<
+2762 0 obj <<
 /Type /Page
-/Contents 2564 0 R
-/Resources 2562 0 R
+/Contents 2763 0 R
+/Resources 2761 0 R
 /MediaBox [0 0 612 792]
-/Parent 2553 0 R
+/Parent 2760 0 R
+/Annots [ 2766 0 R ]
+>> endobj
+2766 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [283.063 112.349 477.677 126.183]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
 >> endobj
-2565 0 obj <<
-/D [2563 0 R /XYZ 72 720 null]
+2764 0 obj <<
+/D [2762 0 R /XYZ 72 720 null]
 >> endobj
-2566 0 obj <<
-/D [2563 0 R /XYZ 72 438.484 null]
+2765 0 obj <<
+/D [2762 0 R /XYZ 72 222.151 null]
 >> endobj
-2562 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F79 926 0 R >>
+2761 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2569 0 obj <<
-/Length 2439      
+2769 0 obj <<
+/Length 535       
 /Filter /FlateDecode
 >>
 stream
-x��ZKo�H��W�
$ ���x�M�	6����
d��9�(�����OU?(Rl=bgvg/b��Ū�
�_���15��X)�׋!�(aJufH&�k�qt�\��	gjT��1/>e��

Uc:r�r�oqT��ro����Ŭ��~|S�a���X5�
-�~KƟ�߿~��?�p�$1�:N�1�H*F��WS�����S&��4�ТH�QA�P�uu�+�f�f�|Ը|�����=2�~�������
-�����;O��?.p��+�2Cr�ָ
] �K���/
!d�(B��p�B�Pnm���1��2�
g�pn�zU�7mQ �į��40�w�g�y+/����&
>�QI��l���q���8q�% )��(���d3�[�a�#c��)�2�	��$'<#J
-��5X~��/��0�
#����u�c[s�9�0���'H:��j
VD[��wS��>�H��n��xƍ&/�Eu���r
-��	�
��:�u��
��EÅ��ر��J�+4j?�0�r4���3��ٝ��g��/cfF�0�غ�}�z���������z�[�L�$�k��:!R�"}�����<0<�w �=��2�z�چ	E��F��v���x��ߠ��8���Q*Ͳ�L2m��`
Z��q�u�b4K��3X��|m�1d`��8�mk4
sGd�����iX�_y[<8
���_��:1���@}��E��9�8�1>�M����K��_�E�^9c]:�賨4�M�S�9	4���/�X��?R�%X�x�	1(��菤
#��1�k�Dʸ��	2�]E$t��x�
pN
է8�'Y
J�Z�_���U���+��o=���t��UF,�:l�����
�`h�iE8�G�bx�,"�Hj��59�2z��:>~��)�ji$��X�E<O��u��`�A� 	!�y
�����|yz���4D
�f
�b�9C��!rb�Q�f9kr��A1�1�;��9d�`*<
�o).d�{w�ᆶ���V�(E��M	���
J
o�� ��C�����d�]�������l8d���
<�>B;���Wmyx]�=���5��&-j�`(�e�܆-������p���J�s�DA�t��/
��Q,�%M+�S
-R��&ڴmJ_�(CA
}m�m(݁������ |
CW
-�e�a^j�9RG"R%u
f�Y�1�z����^W�݅>0��tY���L��!B�x��@mѬ���H]ڱ.S�p�G�k��ƿ`\��^9O�(#Z��
?���+iK	c����| �1�71���r�F�|
[��:���N��1QF�]W�p���	�����+Q�3j'K��O�1�.4�6r���
������|['<HQ!�R���̼�v� o>.A1� �S�&�k_���gъ~J��\7�9}��6�]x��k�M_�p9��]d���G�Ҍ�˝��rɯP^�o\��݉H�+Ƣ{��>	�;�-�LFhTYq^�׻u*�����ˊxJ4�y�Hk�#�w��
!If�y������8C��,�/�p��<��}��TP�A
-�0W K��hiiil�W��	���*�}1ZFG��΄K`���E|s��j����w.\�w�_<��
W��
-\��"-��>T0��9:\Qz��V��4'̘n��y��:�����!�ն�Tϫ���݊�y�
u�
b�Տ��9�u��MW�
9(��J�'�$ʧ"���G1E����>
j�?���/
MESI8��ѩ^�K�*W�z`�CH��Q��$�u8фe�Qkv��m�_U�qb�싥&���JRJ�~YmT����_T��:�\
A�#M��gүx�4����R
�B_ �g�k�ӛy���72@)
9`�g������
D�=�&^��Q at 4���B�v�)\�`q���(��9.�����Kd��R�uR at y;AѓӴ���ܑ_���
lU��MfH�B�e
:�CQ�_rp���`��t ߂�Q�
-hMZ�\ �_�
�`t�+��5�@�t(�C��$�,eY���LܭeTvNk;
�xa�e����cbaK&܅/ ;�k�
x�F�oz$�P4�N�g��LvX�ӇPXa,g\�p�� zA�g��"%���W��,�d�W�v��[ޣ;�*�b<�c������"ϡ�5�����Y���
-0C~NIPA�
�m�'ݺ�LVyf��L�CB�ũ�"��/�B������͔u��2��"�_�����rZ: ]ǡ�
6P	!}Q��I
���IG(n�
->�qw4�}�9�b?U�M:

vw�ҹ�\��
�z�ˁ��
��
{���v�
ԭ+Q�o�
	���،4��\�
���6�w-�\�woz���:��1��6%gL
����\�q���$8|-���
-_l�/��+5�8��s�{� 漭endstream
+x�mSMo�0
��W;��,K�$۽u@[$[�50`�n���
{h����H�N�d��2?
�O�,�UE$%/���m$��ʚ(9�6?��:��� �d^Xv��s��8��{�C��CE�M��
����*gOq�,s/�$[�@xF���	�Zg��%��&�x+���\Ϙ/�+�����p|��*���-
��g��dƍ�Q"5��z����@Y���
�tw��_J�
+��}v���Y��_xA�4/ww^U�i>�T_�p���蒆�I��Io�V�
PE�3k#�;��a.{_I��
�œڰe7�e[5^�d�Me�PT��}��=ћp���]�o\(����<��|
���q܆���
�
@����qS�=�xH	��5��ӎT��kl��ؐ���@Q
��4jwH���CO�=T���(�.�����pj`O9��5�Q_ �<�Q�σO$�r�b���G�
�:��u+�n���J�k�I�V��J0�7G��n����v����&�z��犺V"�6����9l�o[��-��n��?��:endstream
 endobj
-2568 0 obj <<
+2768 0 obj <<
 /Type /Page
-/Contents 2569 0 R
-/Resources 2567 0 R
+/Contents 2769 0 R
+/Resources 2767 0 R
 /MediaBox [0 0 612 792]
-/Parent 2553 0 R
->> endobj
-2570 0 obj <<
-/D [2568 0 R /XYZ 72 720 null]
->> endobj
-2571 0 obj <<
-/D [2568 0 R /XYZ 72 600.474 null]
+/Parent 2760 0 R
 >> endobj
-2572 0 obj <<
-/D [2568 0 R /XYZ 72 363.985 null]
+2770 0 obj <<
+/D [2768 0 R /XYZ 72 720 null]
 >> endobj
-2567 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F32 668 0 R /F35 1440 0 R /F48 554 0 R /F79 926 0 R /F52 1472 0 R >>
+2767 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2575 0 obj <<
-/Length 2677      
+2773 0 obj <<
+/Length 2228      
 /Filter /FlateDecode
 >>
 stream
-x��Y�۸�}~���
D
/�R�<t�
м�;-�n�Ac�3
-lk"�s�@�~uy��L��d��H~�E~���J�<I�E��$]8�	iab�K�N+������7:� —��B�_���$:Z��u�UK��b�s*�n�u�Z�*�`��=�^�:��%�l�8�E�U���Rg��R��l
-�w���
8�+�|GהE�+���T�N*C�+?�N&�''��
�YOI�Hvb�x�6�ȕ�p�b�65l �ElU"�<Y��
-kS�d��\B`w��
�D� �K<�>\3\��a
-��nk���t�•���
 d�M"���4�Ben�ڝ}8��W�X����3),H����&_�΀
��h{���_�����xr���$:�pa���p��gn%j�D�
-P�bГ��{�����B�B'f�U/�s�+�M�2��*��|c�	1��b#Ҍ���$b-	�h81�*�� �E�/�W���$�j�U#d2C���F�T/F��*@�,�Yh'�tS��XOG���0�
-���z��*���dj1Œ�1�͊H��>�d�� 
i&7��w.Rd<�=U-�,К����ʪ)��	v�26�|�@��G�o�-�����%'�J��
`6�C
@+y��:���ű�`)�L��jz{U6e�@c����u�N`Zp|i~~��ڣ�o�yH����ؓ����e�DES!�Ŷ�S�����_2�_X��G��O�S�L�~���qBp3��{������� J1���
M p�

�$��ύUzd!0]b��0E8�h��1�cC� 6
a�	
q�HGHj*��"�a�L� dAUF���#.�
~
u�ʼn�a�񩉿��3ܪ��K�l�H�\��H��R�.x=uS���
$�F	���~< .�TM�D�X�6�TJE��
\!!�i�X��sbK���Cǧ��?�b�,�‘����Wu��U��hA��+�Ȗ����A0hi���}�~S7;�8���۫j�IE��Mh�xG�=��T�X�)̼YfN�/��3gʻbw�-A��Q�X��s<h�@�� �U�*i0⺌�D��?m�DNW(s4�{��/`���^�dR�F��2�k��n��k�_��{��kbM1z�
�� �<~�>pY�H�%R�
�lc�9!�<�D.U{�h�{���tb�`�mA�WHt�� :���12��� #1�f��(�{��Т[~x������Sd�(���!X�Y0!&:��ڌ<�v��H�C�F-ҴG�T�ܠ������}�9�
-��)��
Bj���:Ɯb��E[)\��'�B%�A�1�L�f�F$�qE7�a��=�vEs�t��{l�8�]5$�˫�V�����"��q�d�961ㄤ3�X��[֧�W
#����f���m���g
-
p �RMd�T.�|
Th*
�c5���3��%�=��k
�����G��v[�\�¼h�����Y�
+`F�Ave��ݓ
v�M�;�m*�D�W�5�#��+�K��	�X��EՓH�A�����
\�:��Ӽ
E���
� cxA���c���U(���90H�t�B.�d�}���_n��+�z���
b^
��(��n�`��Ҹ��Ypz8f�+VB��ra})�(�yG	�%r��n�CdB�1�D��"T���:�g�`N�t�u�
��0o�*o]�%;J���(?�P��

bA��Q,�%��6�\�b��?�����D�ZyY���*H%�o���_�P�
\�����:��=��Pc��崤��ߐ���y��nڐ�83q�w�z$M�m���m eC'��x���:���A�2V��Րe�Ѯd�!m�<Ť���M�	ڔ<_���r[
,;�A�/y�<��1@��
�m�ʝH�:$
���k*Q����Dn8���5ƫ]86H�'���c���S�3L�t�W�%e�bZ�'�M{��
���S2!u����9����9@��<3~�{8jh��"����~}�<���kSa�f!f�~f�3Ilb±xb�$׾�@�p����)v���ڄ��\V޸ŭ7��N�4��s�!�^zjԼ�4� 3F�S����B��
�p�~�j�d�Ҁ�>7�7'���
H
�l1ԙ����Z.�i��O�jVh�ӫ��ĵ۪����'�>�oy��ڔ��r�A�NV�'ʦ�9ϰ=؍5�
-�=N
�$zC�j�/����Vi;��R�u"%f?�
I7Xi
��W�U��sK*�,��U�Cp=�5��+YG�w_�p�.�P���(�N����adJɴ����$�?ѻ?ɨ�}/��q�3�mn��F����>�
b?����%9�u';�Ɗ��fH�/�ғ���^��£��t�@��e��Ⱦ��w
��V
����o��u5�_�
'��0F��ˡ�U�QS�/��%��rh���F����_16@�������:��
��l����
9~e�
e�	{�H?T���Fڧu\˛�jM [�㛕�d��ѫ�v��F%�7Nn����kj�^ն��n��e��]|����!������B�����d�Z�d��G���@�j�'�r�|�
�.NY��9衧SC�)�0�7�#���K���)�����(7��|�닖^���

HD'���(��I��Ԣ��>�wr0�|,�;��Q���W��
Ӕ�Q�5���oE�XX 9endstream
+xڭYݏ۸�_�(P��F��)�h
$Aw��
�l�M
[�.���Y�M҇��o8��H��G��5
��8�/��~�����.�0׫�Z^�USV�����K1�p�p	��w�3̑6�cU�UsQ�5P��u�G�n���p���
+WWO�	DeK�hb���B�z�g*	S�뉱c��,��fW�w��{�q˯#�;����_#��h��3z�N���)�([Ѡ8n��I���[b����B �AM
+�����E���P����_�ԁ���tQ��a�
*�J#��3ƻ�Trk�ă�� 4.��GZo��-
�}��w,�
�Zz�Ŝ�U�
%��|�4��F*| 5����������mA��K�-B��>�p݆��8�v���#�
�B	y�������	�:en�i+�iMliI7��$
[��G�/.e�,��_�"
+ܫm��Ѳ��_n��l��A��i��H�����e-�<�m,h���{���G���v�5�V��C�E��Ǯ:V��m�'�H�5�+�V �"qzf���  ='u
�"�薊�ߺg"��E��m�
�BI�� +?�⭃�ؔ@IF�K@��{Q�ԟ�1��M�0�6�ߦ��l�0�%!|Y���*�W�
�P�F!o�"���
�!�$%L����R���	�{2ם���~��"Sp{��2���S��������_��
����Y�8���'��p%p1_F���k��R�"cV̗���$Ȏ̇@�G��R�IK�a
X�9�
���<���my;6d�!����
wQ��5��
��A�$fk
�^R��z�=�<}z��<��ky3�c�yp�x��$<�Q�
+\�cdT�)�ߞ_%
+֪�U�+��N��4��n�p*������
+'ʺ2Ď��G�o8��na�Y
++��0�\2�tu$�:�L4�����a�C����S?NF��F�d��5eO�ʆ')��n~d3��6������/}�I�ć6��f�
��I���Gr%�?�+��@���,
��k��B
𧇭��MGi�����F��k ���9�zG�V,s�9
Ô3�`��^d�J�J�	�	��V�ւR|P�:A
�'�{�c4�}%4���<k�@�~G��8�nmH�v¤#b����ozm�G�9oHT������\
���;gb�s=ʜF�	y��䤗t����:՟���:bì���+f�) ���	����Y^�U%��<�H�o�"�GFٲ�m\����
w;�����#\nS��^]�wl�����>�vd2�(󸊥L��{���8
L}\�?\�3��9
��)M�Ϗ�k�D���7���{���@�W�P�"�9��Vx�s!���9���hs
�ZT�)��>��=��}�~(t(
u�
���
po�. bh��ٯ�x���v>���6�l���
$j>����e�!
s�ՍA��z ���ꕆ,��D|�q���q
+Y���CȆ�=� 甥31�w
�O=�Mi)�@��*vD����(؍��T ��P)�W��\���;l�P�^�S�����>yt��>y)���YG%�M����uiڨI��f�tȬ��RU���Z�
+����li]Z�u�:S���>�{�L����'X(�e]
N�%d���vqu$)���hu���O�9���k>1keYI��L��$�6g+��6��.��Ks� s��\���nm���F-e[*]��w$�T�;�M�LI�+� ���
 ��QC�Ѩ���
��q
-�R
����?�w��jN�
ި� KK3�T�����$��q��-gq�D�]S�m��S�ګJ��`��	�w�u�ܦ�����#��v�����di�9u�=���Э�������:@������w��'I�X�z�ǡ����6z�	~3|�Mbw��㊌?
+,�u�W��#��㔳_���5�%�B}���uOPQ@��q�2��5)�
�;Y���M�y��
"�(pB�<��<QT�R�p:nG���6���¥�EF��&��~�V��ϩ�s��\�X��4��w;�i"�*�5p{׻	���|���g<ۨAJ�<�zT ��Ѵ\�B����Si|!��}��1�
P|H���<�áҲ�;T��v@�@��w�#��v)�8P9��/�b;*�V
+�ݫ��T��B-�“��;�&�
�Y>wPr:G�M[�-{��~��Z?�Q,���!�n�����$A����Ow|�w{
+,�Uuܝ��v�ި����|�L��l-TTNj�+*��
ų���� �.��endstream
 endobj
-2574 0 obj <<
+2772 0 obj <<
 /Type /Page
-/Contents 2575 0 R
-/Resources 2573 0 R
+/Contents 2773 0 R
+/Resources 2771 0 R
 /MediaBox [0 0 612 792]
-/Parent 2553 0 R
+/Parent 2760 0 R
+/Annots [ 2775 0 R ]
 >> endobj
-2576 0 obj <<
-/D [2574 0 R /XYZ 72 720 null]
+2775 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [95.021 615.524 123.638 625.748]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.10) >>
 >> endobj
-2577 0 obj <<
-/D [2574 0 R /XYZ 72 563.606 null]
+2774 0 obj <<
+/D [2772 0 R /XYZ 72 720 null]
 >> endobj
-2573 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R /F51 1171 0 R /F52 1472 0 R /F35 1440 0 R /F48 554 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+394 0 obj <<
+/D [2772 0 R /XYZ 72 720 null]
+>> endobj
+2776 0 obj <<
+/D [2772 0 R /XYZ 72 575.337 null]
+>> endobj
+2777 0 obj <<
+/D [2772 0 R /XYZ 72 493.136 null]
+>> endobj
+2771 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2580 0 obj <<
-/Length 1597      
+2780 0 obj <<
+/Length 2180      
 /Filter /FlateDecode
 >>
 stream
-x��WY��6~ϯX}��5-R��}�M�i
#A��l�^bul%y��o�
��Xn��H_lq8
��f��f�b�2N�1g�|i��Y�"� )~
>N~����L�}5%L������١Fj�����XH��[�W�)���Q����T�*�\5QI�)�~"ʠ����-Q����Ę /7��q����5W��뛊��
-���[lРk�zaoB�k�/У��B8��4
-Ebҳ)�5��ا{PJ{�b�b��"_����v�,vua�,�$۝pb	X֣o�H�REF�!�7a����
-��y��R~~�,:�B4uළ�Z�>MU��J�@&�J��V��0*1~9��6� ^Q�u
 �m��p0�lk�_�j��7�
$P�rk� Y�it<�j�c;]k�INu�R��D5�2V��q�L&�;v&��~>��
-��l0!�.�����][`�=����X�P�Yt��Ow�jˣ
���r1��9��cn�}*=������ބ&$�U,��i�u�f���-{O9O&�g:Ib��g�
M^�]�/��T�{��9N�L��,�"Hu:
-�}g��?�m��k�bW�9QAԷ6�+˴A�O,J�e�J���=$l��7.
,�Z�$��1"��x�M]8�@^�[��UC���F0�����h�>H�ʬJ?�X�=
�@|�

j��
j�
.���RK�P�����k����!�������x")d·���L�vh����
���U
��81�R�D7�������91O�����J�T��<U��y���<�:����@�O���w�+t��z�_�wԢ<^����h��t<��$5+��ޠ���y�^C���ns'<����8Ȼ
�Rвb(U
-TÌTa?řk�q�(�
�������w�ܷE\�^��ܠ��'��f‡׿������-��%2��x�Y���a�@�z�P5W��}�ޝ��4���x*��ND�;��gl|��6g��ywX��0 :��u�#
-%�æ뱆FBGf��1����#��1�3I�R(9 �Ң+H
Gt����Ƹe�^�w
�N�ѡ?n�
m��*�|����n�ő��]�
-
���e���
-�}?����PV<����P���~L
t�
��
-�G�[��3R�G$���� ��⨶
�r3��|�ؠ@�� ��|we�(�τ��oiu����
E��o8g��օȗ��0���?K)��������]A��~��K��PdD�$���=�
�F\Q�̱<`H�$�����/���s�AZ쮽��`Su`��J9� {�������E\�p׆n� jV�?$��T\��ʒದL~���~�ҫ
-����F"�ض���swW%*O��l�F+[f����2�eC�^N�9X���~�u�u�i=���ò�c��d)��ߣ���K� �ر'ܪe�w���@k.��
Q����1^��Ex�
F
8r��\)��B@���+���,_t�Z�^�Q��������=�R
�����M���0���WU�|�{�����=�s��O�K��|b���n�BQ
/�_l��>c65�(��Gʶz�0q��?�e�
T�i�U/�����ki�endstream
+x��ZK��8��W�a2���%J�[&�'0{�`�����e�7�v�Տ$�~��"U�(?�fj��b���S�����*Mw#e���������4������/�{%�����Le�LxkD}#ܤ
Y��<�����g`�G��(������=����L1��d�����4u]�,����yƍ
�����w\w�r���
���⩭�q3�l�?�X���8p�
����8�
˰k]
�W���[�+$�ߋZ@�vbъ��$�����u�����]K�[
��E�^H
tW�|�����;�f=�@���)le�&�g���R��B�JU�ƻ��_7K����cd�@���j+�)��_0�m����]C�^��hW�B�tq���������~��>���Q���ٸ)Uc+#����)��[=T5,
p�}7
�56<�ic��4Wf4��
:e���q�"�?}v�==NS^��	
li��h#Ճ�?|��t��|�G�~"�;��1�]u�Á
+9�� �X5Q	!���uVM䐦 ���2Je�/�0^4K'>�ް1~Q_��ZtS�����gb���m���
+���?6��B� j�ƍ=���1�<)#�@'3�!�y� ̉�?'�94�q�
R�H�u4S: ��L!��M�D�\I8�
+w�~�
r����4c�W�!�>���R�Aw�7h�щ6�������8MX�����8���an"Ñ>��ב�O3�Z3��?�"�'�
rF1BE�%T���x��n�T$������O��(�����%Z��<9���T+ՌV�����Z��^P.�q�N��h�5X�̝a?�}Gi�t�j:��4�uOQ
F�P��gǘ7�+�
�^��q�vSd�:���C�r$7��}
+��9��Ug�޼��O�D����9K�ItE���p7�Db��v�?�m�ue:C�玢�=
����y�~�I��!
���VWM+�������(D��ϭ��`���XY[��ܔZV��n�wq���+Z�}l
�W}�[�j�`q� �N�l=� ,��:I�6\��z:9QU��{z�L'�K��hr�7O�~�gv�M��|?�H1�O
s:p=�@��@iA�o7��S=y����Ri�Z�c0BR���(�2,��Ԅ�̙�jb~�	L��38.��Q�i����"As<RN��jd@�����g��6`�U-R��N
 r�
+w��C���E�'�~g��UM��:�s���D�"�
!kK4R�Ҳ���MC6��
�F�� ����$�W��H��BNx��J��?9���z������
�?DE��I�	0�j��P#��RF�_���>��}�ň�
��_�oڰh�<4��y��t�!��r�zb�c�Ȧ�4�1�
�T_`b�����-�b�{D���0an�e��
�wH4�����r�Gl�3z�̡�)b��o�l�
��Sq��L��78�b���
�XY���{�ݻ+�zdT�{��p;��D���4�:��ru��Mt-b3UAݨKTЭ=!yL}&��=&!�1Ҭ7!ya� �Q5��T
�<N.u�cnǔ�s
�|AFc.+�T�\Ǭ����
ö�x�d>��W���R߮Zsq��
����pϐ7\ޟۮ�Mp�5��������s�B
�$�̩���*,/�2�`/��0e�8��=��2�LԔ�#w��
�XJ�T��&�\1�b�\�C9�f�0I�có��i��͞�})��|�xx���x�HwTj�1021�/���ބ���@LEven�{�ق^o�ME6�Xg+�VZ�v�
�?�#ȿ��>
v�ʆO
����]�6��GL�C�� ��sh��E���a��s�!�ǩJ��%ǃ
�l�	����Iݜ3:����)Y����
�)5��^`_XU'��a��5�r
+M�oNk:��U�
:
��U�֔���
+�:
3^�ӝ�y2пp��LC�9��۱<���WQ�C~$����MӍ�0�$�qS�.N���g��X��*�Pu̩{�ͅ���Zܓ��S� t#�T�	
�ğG�ҝ�5��2��7�`t41�PWF9�k�Ӻ���\`�
<��<�
+�ؠ���O�t�O%�4iOW<��(dM���Z�9V:��3�\I�3�DzR-�Ө+��F�X�a��l�Iة�w-�b��hƟǯ|c�uy�ZJ�@w��_pV0��iqƛ�ܾ�
+}7�endstream
 endobj
-2579 0 obj <<
+2779 0 obj <<
 /Type /Page
-/Contents 2580 0 R
-/Resources 2578 0 R
+/Contents 2780 0 R
+/Resources 2778 0 R
 /MediaBox [0 0 612 792]
-/Parent 2553 0 R
-/Annots [ 2583 0 R ]
->> endobj
-2583 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 1]
-/Rect [283.398 428.053 478.28 442.001]
-/Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
+/Parent 2760 0 R
 >> endobj
-2581 0 obj <<
-/D [2579 0 R /XYZ 72 720 null]
+2781 0 obj <<
+/D [2779 0 R /XYZ 72 720 null]
 >> endobj
-2582 0 obj <<
-/D [2579 0 R /XYZ 72 538.638 null]
+2782 0 obj <<
+/D [2779 0 R /XYZ 72 482.553 null]
 >> endobj
-2578 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F32 668 0 R /F76 747 0 R >>
+2778 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2586 0 obj <<
-/Length 2266      
+2785 0 obj <<
+/Length 1120      
 /Filter /FlateDecode
 >>
 stream
-xڭYY��~�_� ����"E]A`v1���v��	2yPKt[hY��>�!�=uQ���c��XY,��UQ����w���L�����rs���4�Th��W��JJ�O������}J�q)����Hw
Pu��S�
-~�
-�yt�;:D����X6�i��Q|_�"<�"
�����jm�0�X�u�G�c����(X�y�
9��7����?[���F�\gt�u�ƒ�ӵ,�I�4P�$�Z�[�D������V�(�QX���&

�4	��;\�7#���R�K�H;�%O�'z0q�\��6���U���}����]ůe1�k���e!$w���W�X8΃K<c��&!X�*kҫr�t��V�E�F`���,��� f<���𽂽d\�[�
�2���
�v(ꆇtZ�f�Ұ�%��=n*G�3�0�u����P�y@6�,o�'�c0���ιi��1���]:�,7ZW���,�� 
i�
� W��ą{ԖM�5�=g�뮧L��n�_'�CS��g(8p��q=��j|v��ٕ���S0�����8É]������J����ޭ��G���l,1�rd$
-��n�|ȭ�21�
�p0e�
i�Sv���1 �ЙSP8 �_���_q���o��5��+f9bG���%��2�����?ʫ9�bLW9�\��
?�?
s:x/{+
-��h���d��
U
�S�ph�T�_:p?�b/�
^bY��0h*��QDQ��H����=�HK���ڣr�zL���v?���+Yw_�x�3�`�&*O)%EY��q8	�M�4
"�="��}���c��$�S�t+
����
I�F*3�T�s6�4&�TF0 ׅ9~1:\�B���t��fj1:��S՝Jmbl� w.�		m�q�h���1*#��/�;�k$\���=a/����}��	w`Q#��K9�!���]
r82E ����:s? >V�H*����Tݠ�Q���
�N�-
���)*
��_3�I���d�k�z���L�8w.�l
-l
�v�\&'f	��
.��*��a�ok�%��!�
7��
08�]E�p�с�K�m?�<[4���m2J��T��9
��o����j�)��&@��&��x�-�9���������,I���r*pX���C�88�T��`MjkѼ�&dOx����^P�F��θ�uIź
��"+i�,{;R`J�-�BE ������{�������A?�ioj���AVgH4b:ok�ѕ�3�T55<%���FI|�p8ۏ��y�E��ZBY��D��
���r�j�(��V��Y��iZ��b3��W��������$�t��:/Z �
�蛃g�>7��=@]�-����a��~��`%H
d�t��G~���L:�\�2�4�a���y�w7]�p��*&7*Ϣ��
-��H���Ͽ�7=5�"5�Md�iɳ#�MnP�nE ײ��Ҩ9��ͤ�-F6]�2���e��f ��ۓ0C�f*�}��.� 
�
�^���
j��њ��",^�l�rC��k
�,Y��H%�=�Լ4`2H`/G���F�7Xw��EAW-�'IU��CDGy�ۥ�g�P�����
����%��<L�-����S��~�}o���H����s,f�݊�.�~��3�&���=6 8X�����F�*���*$Rh����4�����n��Q�+�/�4w�
 
�#Y���瀴A��*��oA���{K�,��VF0.��b��c�*��R��#2��k�؏<n�'���n�q�N
=2,�q(�M!+ݜB�(hZ<x֥$)�s��\��``-���f����*O}��,��!
�Ӧ�O�y뤬g�݀��<���ɹ�‰:4*6�kG��9҆�%8�C�1z����u03l;��}��g�i�ݖ�^�pN�
BI���G1����1���m�.b4
��G!
%)<n�	iA)�w�t��׹~�2�Z� ���b��@��[�j�[��4}�Z��ND����u{#v���_!r�9\��<
mph�LB7��g$Ve��O��/����R�
�4���X��\������>�
�""Y�׽Dxl �(h1��-�$_�9�)�

��/��^� �(��C����z�;����PzĐh�:��f��-0k
P�gp���w����Y|��5���3l�v���/\��(�]�M�\�L�C��(Z��'��d��t��
 ���x��
�*>���2W�ľ��/�D at ec�9�<��l�Jsv���|
.��x��0�p�endstream
+x��WKo�F��WEj1�%)r��@��@{
+ߚ
�"’钴�����ٙYrH�d�@����v曇�\_��R*�(�$�\o'���a�1|m���=��t	���=�����?^]i#�T
Dz1�k
�$EN��l
gf��
+�
�Y��@7�
+
+�r�$��
�q�@I��t:m��a�����Š������%��z��7,Ɖ�s�������WWC�

�y6Ot4��&!k��9�akxJ:V
�9ц�\7�v��;�t6������
+�����>�Q�c]�'*k�=�E�!*Q&�߻��
�sw	��l�x�[&U6�5]�e��I>�Q�B�I�7
`Uc|Q�š��{Ԍ�?�r�Q�lc�6r�
��a�
���^w�%�#SVt��
�N���$E�
��^ف�6�����^�q���i�<��^a/��.�Pf�h�텠����Ɉ�z3F�$���P�~�?y��-���ve����ץ�={�e�
ӗ��!��\^�-FBn��)z��0lD:
+��Q���
�Z[~��
޿e�Z�
K�ȤҰ�o�+���n\�҇!�|ސ3��*q�5��z>̒��#I͹
+J 1r�c��
T����Jxw�Z�"����S�e-�����X{���d}�9�
��˂�eɇ6�D�:���f�KWQ�
+����B�����-U�}a��JR�����	 ld�t�+�A�te��t�k�Q�&s�r
��?�0Hu�
��#f&H��E��Ny����_:��p<�'��쓘���Q��͞_�+ު(���}
UD��T���䙓\�{x�O
K���9�מF�U�"m���On�jۀ�+z�
�Мn�)�8�b{_^�����)P�/�f�x8Yw��Zlצ!�኏;��I�
�4'�|�)�f
{YxǪl+B~�e� �ƹ��
�޽����~KI��DhY�]w��<��-��/i���lY.���
�j�����x� m�(�y��a�ϏZ]��u(��ǝ N���s�-�rJΫ��Ȱ�t�	c�d�ʼnm���;bϠ<{&t%����V{���.�jP|EM����B���ēMK�����`j���s��F
O��x�$�Y, �*	�dѶ<�]c.�^_�
%�
 endstream
 endobj
-2585 0 obj <<
+2784 0 obj <<
 /Type /Page
-/Contents 2586 0 R
-/Resources 2584 0 R
+/Contents 2785 0 R
+/Resources 2783 0 R
 /MediaBox [0 0 612 792]
-/Parent 2591 0 R
-/Annots [ 2588 0 R ]
->> endobj
-2588 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [95.066 615.508 123.722 625.803]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.18) >>
+/Parent 2760 0 R
 >> endobj
-2587 0 obj <<
-/D [2585 0 R /XYZ 72 720 null]
+2786 0 obj <<
+/D [2784 0 R /XYZ 72 720 null]
 >> endobj
-402 0 obj <<
-/D [2585 0 R /XYZ 72 720 null]
+2787 0 obj <<
+/D [2784 0 R /XYZ 72 698.015 null]
 >> endobj
-2589 0 obj <<
-/D [2585 0 R /XYZ 72 575.284 null]
+2788 0 obj <<
+/D [2784 0 R /XYZ 72 702.996 null]
 >> endobj
-2590 0 obj <<
-/D [2585 0 R /XYZ 72 493.051 null]
+2789 0 obj <<
+/D [2784 0 R /XYZ 72 341.515 null]
 >> endobj
-2584 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+2783 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2594 0 obj <<
+2792 0 obj <<
 /Length 2251      
 /Filter /FlateDecode
 >>
 stream
-x��XK���ϯ�C2�f(RϽ�66/`rz���䠱h[;zt$kzz~}�E=l�� ���"Y�U�W������fa��8~x:>d����TgJG0P�|4�����o0Q/&B+��9��.
.����E�}^e�Ū$Tq�˪�w�$˃��ӫ���G�
���8(��
؏�c�{n����Z�ygҠۙ
��������Y
��rv=+�o8u!C������N�?�Xä�n�l�X���^n�#E	�����%^m�n�ǭ>�09T�x��@G��Q.t�(���n
�D%ֈ���r��.��>�q��J�A��X_x�jز�ɔ������-S� �x�
h_�_�.
b�k��iƆ7�+2���3�K�� �D�̮�K�ĉ5	��qc
P���a�L�[�8R{
~��x3w��^:��~d��I �uM�{��*���	zc���,�x��̖?T�W�"���s_�}d���7�Q�ӈv\���h��Zi
��󷻱޲�QVG��F�N���0�{�N[
0r`�º�Bz�DA;C�n�|�X	=�)X��Ul{�++<S��x��
-V�&�sAq��MF��KU�b|��h��ZW Xh
��&�Է&���x

�C~'pJ�M
�
Zm�/v]"�-��-H�^�=J#����k�K�U4�#Wj���fp �ƕ
fP�a8G�c3��5�pYޏ9����X�7 W�gвj\�F%j
8[s���9���)�(�<�㼀����=�*�o�OL�K�yV��	�1"��_V�#c�aG��
�Z޷@\ZT��\
�^y���G-b���z3����U�
j�n�0?�txF����EL��6�#�+N�<Z��ܺ��
ϫ:L�<ۉ"*������_Hwuu�)���7@;�*�T�y�fپg�t>Lw[n��
?;#a��w!������q��~�Y���H�"L��sV��#u�/�

�t
L��0��`C�L�
�j�+��џ\{p'+�B�*��t�\�܍5��,� �s���
}��x�����pA����`̱N�% ����
��E$���������_A9�Ą��#Ʃ%�X%�ض�
�1�[��Y"V�FvE_<�a�2(�7��
.:q8�4�s�t<����oIJ<���T�ƣf ��Upw�x6Qy���D��c�A���
��
rl�Иّ��Ӳ��x���XL��I	o��B�Z��94 at u� �n�o�"?�>ct�T���y���N�o�V,NB���P7�eM�&ᑊ3O����.X����}�R�g
�%�l$�U��s���0jl����B>����@��|�!Ҙ����.^
-��c>��d�ga�����x��e+O�\;���t��8���8�.�}���T�#c�>y�+ϸra
��_r��f<
�H��'؈<ԇ|X�tW��S
-B�:�K�- ��x)��
{;��P����
�I���1
��aP"�<��ɉ����]�����eWX�!�QQ? ��t
�

-���x�F&��`� AD9�|���|��h�:/��#c����_,��Ct�%�<J�E��'
���6Ut��&(������+j
�������QO���ei$̊�	
�t��*&��7��
�� x	E=tx���}9o$����w��gʖD'pG� 	*��]tp���q51�w܆­喰yl,��R�j��F�{E�>Kg�z�,4��3��a�Ec+f�U�%�rgW�W�S�%�m1
c����:w��!
{�\�>yTKD��q��h]Fd�۫\��Y�R�=Tak�)�"���fP
!^���P
-
���?��xj�G7��� g������&�9��6O�ϥ	i7e4�����,
� ���ᤧ? �r9	��	J0������G�ʏp�ڏH�O�[>2AJ�=�ܢ~���ư���
�"��
-�9^��,ksS(�d�L
������o�
oaN)�
V��d"ږ�vEӒ�
� 
�o#eA��h�t%;a�w
h
%�>���t�o%	xZ��x��܊�V%��
���J%ES�PxV�;ڭP�Ti��o���҉?��P�b��0ޗ�.��%M}-�͆���2�ڞ�N�aI��P���/�74�A5�n��wʊ��dM߾��.�%���I�o�lC��6�>��J�����߉�b���AVb��7

F�
��
��a.�+����
.�G!mi
̲��ݏO��
\Օendstream
+x��ZKs�F��W�y�d��|�kSU�rjuح8J�bŔ��tl����
�I=\�aN����_7��|�����)c�)5=��>5�*q��m�f3o�-W����g���]AK�
�)H���j�/�8#F8P{��F�
q�/kb
�6 r"�\W��Dx����7\�V���;����[1{G��G|n���s���S������lv���g��������u�#<}w���n�������R�E񴿾
X�*rכ��
2�O��ӛ ��2�T�'m�U��L���̹�����$�/�j����MqK�6&�DJ�6���IQ+�:��I��/�D�,��U���i�%�ľU�0K�ɾ�üa��^�/
�L��!�xV�J��M<H$`��h��R�6�v��w��
+7\PFn��
�^H�TV�v��+:�|���/�G���܅����'�����
o=�#���`��h�
����(�c
���@d�Jd
+U�$����wTT���,���cr���9Po��Y�0��!
2ҧ"Z��?k�-��8���	ʝj�mpt�S��9�$���6
Gd
+�zf
!
�Z-]�׭:v��`�(k��}�(
	o�N������{h��������@zQD�N
!�#lR>�ȭ�`G��91[ٯ������H��>{���ݭn�T��V�'f�}6	���#	��8
n���佔k�1���[}�sh8Z[�>��Pɡe/��b�
Z�1Y�Dmɩv
��)�ɿ�'�}�M����)�)��^�L����;�.'tz6�D�C?��v31�*��z��ɯ-�&3k
+n�<��TR�N��ҋ�vY��J�Q���=��=�
?}�����c�h�=�%��e
Z��<ݚ�VF��d��~ؚ�<� G1~�H(b��:�Hie��#�-[�9�$
�� Y�
8���3
I]���k��\tT+���5�Z#d�ȧ�OqJ���/�~^£6�^��yJ����
��4\^� 
bL���ȑ��
6w	T-���F�y��
w2�(��@�G�2�!��9�ʘ����z
k�ᴑ t����hS��� 8-O�S�i�|��]nb��oɮ{-$�`�S5ҕ�j$
j�G��nD�B:{}2{�;��۳z\J#�+��a���@=��p���T�s����up��`�.:��8��� ��� �=7@�
�����7 �
��;�

+ƴ}*�B�e�xP�����	�_,�Q�_��n�.o�����j�� ��gecPP.�(r¿� 
+�[�n;Z�͌(�s*t���5�D�S�r{� D�Z6m|K��Z�zR�A
��.sguoA�R
���}�V盠 G
P
���N��$��Uj��>�j0 ��:�ːNs9L<�
+Ҏ_�L�k�!��и����N�
N
����̾�jO���~Zx���@OɁZz�	�a�sM^ϭ�mMj�E����ջ��U��0�D~S�;��s\Jc�A�l�э�C
�KY
f��ɼy.W
�J�2J9�L�u����;�&4�ʇ"z�h�_��82
t���}�l��˟J��=(�e��#�)��T臖�FJ�� ���
�����;,t�&C����vP�W:�wa+_« �'�rr%e��f���o��櫁~��2���g.�a�3�
+��E�~�A9��:
+�}f5�1�:&
�V�e�W�Ƽ�{��\��A����
gO8s݊ݝ5^�iH���`<�֧
+���n��o�GfpGj��2�+MDQ���xv�3C��y�
 �L÷�4�9<|��7eB�
2
t�f�0�>|K̚�[e��n��:4{�����7�\���h�������,V�����P��C�0{���F:�Ij�sJ��YT�S^,�Ҩ<�FՁ�d6��F{&+��aZ����N	�Q����E�����=&��A�h�.�f�7{��?�� ��|��迅(6�'��� 	u�����걉YNЃE21��Bx����e��#t�dl��/�iܷL�b��|ږ��"���=:�'�;m����c��C �E��U�}�0k*x����Ai��?&��F�%àZ������ӯVѼ_G�
�l+h�����h^�Ӆ�%X�7�������
G��SCH0]�Pi�(n��!��lY6�.���^����&6�1��
+�v
�VAi����wNAK�
+�z���j{'��s�QW��
Ÿ�����$8�� 
�PL���/#u;)��C
�9��s��릆3�R��F�����CP��KJ�U��q,K|h���S�endstream
 endobj
-2593 0 obj <<
+2791 0 obj <<
 /Type /Page
-/Contents 2594 0 R
-/Resources 2592 0 R
+/Contents 2792 0 R
+/Resources 2790 0 R
 /MediaBox [0 0 612 792]
-/Parent 2591 0 R
+/Parent 2796 0 R
 >> endobj
-2595 0 obj <<
-/D [2593 0 R /XYZ 72 720 null]
+2793 0 obj <<
+/D [2791 0 R /XYZ 72 720 null]
 >> endobj
-2596 0 obj <<
-/D [2593 0 R /XYZ 72 482.516 null]
+2794 0 obj <<
+/D [2791 0 R /XYZ 72 700.334 null]
 >> endobj
-2592 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F67 564 0 R /F79 926 0 R >>
+2795 0 obj <<
+/D [2791 0 R /XYZ 72 335.433 null]
+>> endobj
+2790 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F38 1435 0 R /F69 550 0 R /F75 1442 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2599 0 obj <<
-/Length 1149      
+2799 0 obj <<
+/Length 2374      
 /Filter /FlateDecode
 >>
 stream
-xڥWɎ�6��W�9H��ѾI�L�
LNAҷL�Lۄ�8����!ߞ*)�#��@.2���������)NV�Dz(Z=�V��Jܔ�!̶Y�C^�J۳���~��Ó_{!
�d��>��
-*x�v�4�>ڎg�(Ea;��hS
͠b�+~�0V�?� �u��8<�z����
8
$Pֶh��%ᄃ��"0b�X�)�?�N�F��0�8|�ͳX���FR��(;Q��Ue��՗��TM�X��x/@����b��-�k"p�&=���y
-~�8N!
-�^a�=|D��A�_��,���T
p��0�j􊶛���0qpY��� 0��
��aӔ����S+���ɖ���
�p�O�
i�l��A����kZ�p��T[\�����QAЕ.�B�g�[+�e>��
-c��{��SS�~9p��㈇]�Ҡhj�yA|�v��BCvc;�� h��WUފ�9ҹ�1��?`2�J�U�*d�5���z�{�/��w�5,�Ը%MЃ*^t�E�;��Kζ��X PX�c�߫V����y�[s���P�C��Q���J��w�Y}����˞K�+�nC ��;4g8��λ���P�Y+�Mi����휡r�
B���B��q�u
�
�4�-�8UK慠�0�^%9��^%�Xt�k�B�;���xk�IulQ�"��'��F���
�
������f���sR/T&�2řf�a��B��˒Ȉ�E��\�w��nӹ�t�
�����^S;�+&���rR�n7�1��R__�Skm��>�V�n�*>�^���J����u#_�xI��H�8� >/$ð�]6L��\^oi�
-y�#0ܘDՊ��4�Nm����(
(aۀ��p5��PZN`^�A���$�u>,�/MX #��IA��xޘ�e~kYLYe�CD z^���S
͎~G����DU���Z��s�'�b\�7M�6��u�Et��8�ڍ�
Q�f��dO�w<?a>	.*����F�1]^�_05L���4���W�J ޾E��Q��6��n�.�g���Ζ�5��bƭg�kvu����}�6��a3�G.��WN��� ��82��|~S�o��4��t~Ao���7
-�rБ
�6ǐp��1������&C�6zY����8��>*�(������5hendstream
+x��Z[s�~�������"�;��/��3�K�T�$u�@QKE�()$e��L{�,��J��L&?P�] �����l��+*lC)�R6g��X"U�;C:.^�`�[�9���W,�W��M�������~�rj�?tT��~��{��p}?h�k�o��*
�8e*��D)�S��2��o
���N�#�E�@,uh?�&h�Z���ip	nQ��Ag�,e�Q
e�T��N���$?���̡�3�{��ƙ�6a�
�/}���M�ش�cV�Z�޲`��zX�.\���7O�-մ�r"u�RA�P^��Zi���A,�24���?�uk�hb�w
+��m��m4�3�y	
+k=�f��./l�,6�����
+�|���j4�x
ʈ�P+|�e�����"8�
ۿ
��&=-�T�zҊ��h����u��&��)���LtW��7�	�RM:e��-��%�$��Q�
Ė�Z� +:�Ў��t��ۘ��v���/�,�
���Mb�������
�Gx����B���MШ\D�:%���(i
#R�K���o�X�]&���_K�1�Ώ�w��c	�c	+4"���D�
�	HN
+�H��@���ǫ[̤H���#7��w��}�*;�N#� ��
��-��6 ��[����u9�����;/����Tׁ�x-"�l�9�У�Do�wS��cj�.
+v?�5���ؠRމ6��P��I

�*7�����K��d��|0�R�H'�I��W����1�
X0��lF�{�І1A�Ѝ�`��������7]s1뚯g
<4�;�����`V���z���ߒ�6�j3a_�
C	�qF����:zSkƤ��P�(L�b(o$
5�Ʉ�r0�Պ<�M��D��9QF��)�B]�hiH�2Ǧ
o�$/>�Op�����&Wu,��
��
/i
�
���n�+��a��i8�	7$�{���  �>
�}��|$4
��̤��~Uߡ��hSdOc��;g�7o�����Hl��DkX#H�Bڼ����f1A8����8�j�.�[j���y�I^&$��.֤��^f}����oR��q�}�c}�c#6��
"�zI-|pQ��'�M�,��a�40`^&.��An��*�u�'\Rb�*��t�&^�+��T�E₻���ЧP�BU�1��G?��0*�8&�
d\�&���c�����V����:��ۤ[���O����'� ���%�[[�$�F�$uN�Jd
ŝss���xN+��NqZU樷�$�9�ɼs����e3b
��Nl�&v��_b�!��Bl]�	$�v��rT�5�,��i�e���
+��^.��'�K �&[��5��r$��Dl��6C�x�Q�M
Q����V��-h�塚8
&)�[0's0=�|�Ɗ#h��(4�ds[�f *)n�,�HM���O,����b��,��
�� R��YB��-N��{�b�υ�G���U���a�R�o�`\��
=
���%;B/o�Ղi����y{�)
+�W�e�&C��й
�e�߻ ��{b}�����h����Tp	��Pyu��{7]X��ó���-��ߑE����Z��ti����n�jD��\㭘ߧ��R^Ԉv�w(Ԇ
�/H������pن�_�,y�>���[���S�y�ܠċ4�?~�}��:|k	�9��=����A�E�e��z �L��7G�4�
+gA{a�.�-�Auq���|�����@ǣ#,����)@���l�
+O����ϳ5�
�^e2�=0F�
,݂�0Vc�-v�<�	��Q���K��

�m�h:o�w.�������;Hp|s�
鷙�
�
��ܻ}�γ�������j�b�Xy�
+���9�:�"�b�y��%ġ'A��<���������{;ؙ���DNT�Oh��60��e���c�D
×@�aw �H�\:�]
�n�otb�B.��j
+��ѩ;�>V�C�Ý0�J4�c��o��mP��>g���1m'�ԏĜ��
9Te�gl��3��y
���KxV��v���/L�#F��vP�:O�H�����␡~Fg(,��P��>��u:���, Î}H���9�+��ScK�Q���r�k��e���Zᾖ:�4�
�(�p�K�>�2����K�C��
����12"5�X��ל�lQH3y!q͏7�B�F�b�p�>}Șc�
z7�*��]�rָ:@���Z���QQ� ��X��KKb���d�U7D���*��]��7C�h��������;����96�jJ��D����ٷAV������
dn)�?Zo
z�F���[b��;
��1�=g�g��2:���/�
���D0'u�����Cz��`�;<I���ܓI(endstream
 endobj
-2598 0 obj <<
+2798 0 obj <<
 /Type /Page
-/Contents 2599 0 R
-/Resources 2597 0 R
+/Contents 2799 0 R
+/Resources 2797 0 R
 /MediaBox [0 0 612 792]
-/Parent 2591 0 R
->> endobj
-2600 0 obj <<
-/D [2598 0 R /XYZ 72 720 null]
->> endobj
-2601 0 obj <<
-/D [2598 0 R /XYZ 72 697.999 null]
+/Parent 2796 0 R
 >> endobj
-2602 0 obj <<
-/D [2598 0 R /XYZ 72 702.981 null]
+2800 0 obj <<
+/D [2798 0 R /XYZ 72 720 null]
 >> endobj
-2603 0 obj <<
-/D [2598 0 R /XYZ 72 336.521 null]
+2801 0 obj <<
+/D [2798 0 R /XYZ 72 308.371 null]
 >> endobj
-2597 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+2797 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F73 1467 0 R /F38 1435 0 R /F53 1695 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2606 0 obj <<
-/Length 2332      
+2804 0 obj <<
+/Length 1668      
 /Filter /FlateDecode
 >>
 stream
-x��ZKs�6��W��@�x���L%U�Zo%�>l*�%�63�����Ӎ
J�Ï���&Ah��믛�p5��g���#���z��T��ܭ~�]n���U���qu���LEs�i���>N�O��9&��(�T�T�� �T��"��i�
�S��> �9�Y�3�gHV�Y�/>�2�o�s:kWU[���'���f���z9��
G��骺s�5�
-5sV�z���\�Y��8}��]�:pQ̶��ja������I(�
Idν��S�?~��@�[6\�3T�)�ӌ���'��-��D8&�c�R2�ϰ��%��ӜH��3)\���
��g4�-Ӆ��#���
�S��~t���8
�5�� k>M�(U���Nn��}b4O,Wf�Ů�G�r�&H�����۹�g�۲��E8���vsg�5U�'�a�� u�f+�
�/�p���o��K��o
I��#a�a�Y,
-'\�(N>�<�C��^���u_7�M
�k����
-�=(�����E����"!���� T�R.��xr��rYy���2��fd��[@�T�sR
(wPrzRt�Y�Hvr��x��b�#�m��޻z�
-sFSG����A���1B+�
�F�c� {�1��!��; ��śb�׮�6�3qG�ę���Z& �
-�&���7�\LT
�Fa/�ʪǻC>
�5��1%��>,F><�C8��a�DEj���WJ�G��@d����3��)�9���%�	
-7��&���OW�|z1ɉ z��0p��D�Q�oד�M~
���bY���g\�J
-[��u
헽B�*
-��	�N|��H��
�ء��5Q
�	�X���4ed�/��eQ��[��iךt�ǭ��s��e�3�$�a��c��Jl���5�IQ�����%]^"��8?�Vf��VK1$ʔJ�@�`N�A�8�)5��D��L�	���
D?J��
p��b�
��u�}A<�@�>����!*���ecپ]�k�oT&xq�1i�p�V
�F�p���aD�cUxY

�lV�T��?;&�v�]�'�]��#hܕ(�i�Q
Tm�]VZn]�R�e=.�`�:h
�����;�*Έ1�LRB��r��<���
B�"
3b�󣜝5���Z�s�ې�CŊ%L��׋���uS%�Z�T2���
1oIE��z �?�
�y�=�ۮ8T�Hl9�嘒?˱G�A5��r�%S'�maS�����4��D4�� ]�� ���1�
-�����.����~y���<>��#���2�L�kr�#W�����L1���oah,���x��MX��݃�ѱ_�b�]尟b�)V�.� S~^1�<.��3�fLsp�
�7ƒ��O)�u�����
-�ƿr
��)i�4`Lv,h����_�&>#��>�h:/R
������c�k�$=r�}N88�����X�d~LM��a�h��][-�9�V(2��

�Z�N�Q�޵]>o;?蘓OqQG�ѝƶS�
2�}��
��/���j�GK�i�i��sf
E��‘�_��fΩ͗��c�� \�{��z�U�'R& �SۭV�ʗ�9:�K��
3������nܹ�jH��������9�c_>����XCA1����NT<��
�d�/���b��r}?Lf5d3;���Tl9L?������
Z�Gٵ
����l���l��B�
�?v�U픉u�n�;�k0���v<�Ł>��Q��nn�
�����y̥,J��T"x}�سu�s{�~����l!�h���l�AQ�\
-H!��guOʼnF���@(���sV��������FO���F����)�� �O6r
-��t#�/�E�%9Öhav���^�ǡ'�8��8#c^�ٍ���>DK!��9ߓe~�Fp1����

-\r(�^�Lr}=��N�#�� ��	���5R4��fO�� ��͌��Q5%��ٷ�N%�S��!��h
}�����/	a���G^m�#Nc���6 at B�ꡤ�b�Z��
-��ޫm`�ӛڱ�Ʒ^n
��kG�]_�u�oZ!_(�H<t1N�)�0ũ�Zq��Ɗ�s����Ҕ��E��m
�k��v��P��/?zR
�O�ҟ�5�]�����b:���/��ARLI1��0)'H�к:��D���
߇S�@M�+^�m�]
YE���,P	���u��c��n
�92p�2��bE�;(������
>�n;ϵ��Črg�rS�x�	Ǐ<F:�z�'E�u��^�sȠ�:����U9(�24�7w�C]a������
-aN��(��P@
D��QI6�"����tv�L�f�(�\��[��հ:
U)�ܱF�`�
��o���hendstream
+x��YKs�6��W��5c�ċ{���ӤN�OgڦY�ղ䊲
O�|���
I�ә�@
$�����ŋo_KiR�����
ZFS
�܉��������?.ހ�*bA%l�9I4C�������"ae�u^����h�mA�
iUdh��Y�����.�5u=��-|l�˂�����Ə����%�~	&�jT(�k7�R�$�>*�' �2�~��N�����		_�\8%#_-h��>�6���TQ��b�
׏ݴm��.�#��?��6e@��|
 ���%1u.Jeڈ��
PF�,D�*�=�D���W��G�ݾ�m[�8�&L���,=xP�ar�՟�Q�tJ�0��$���tk�Wy��]�߭��A��B�+�q�d�J0�>D};�*^��Di��ߤ��Q!��v�so例
�F�]�
+������^��V�s�	.[.��Cф�x/2zS���FN��҄H�4�
++LYB��π��	03��
���.�3���8�{�
�S?l���W,=�9�w���p�j��;OFÃE�6��eD#
?v�!���C��Q���p��<$�̻=衼K�� ���s)�3��o�P_x���_��ٞMx�q=Zu��¶�
�a\�'��
�tM��P�x�~�Ʊ;��&��
�Lqp�h�>}�hK�T��E���<���� 1�)���!�-B^>
+�+�-���
*� ���J�R
+Q��d&��B�2V��x�>��<����yWU�(Z��
Usս�{H�C�
��I�bG2�h�G#6{H�AQ�A�*)�>XH�sK��
�mJ���

+��k��N(�X
��2yߖD�sa�g��Ǽ+��ϻS��<�W{�R�LJL�]3�*Ggɻ��A$߲��8)Ua�~�#��
-����QU�U#��t��	�P����	3��
�*�Q�w(�8�3���R9w$�DOm��<�v�2k�U���%
�5��d�Y�K�%*no����D(sت���t�E,�Y��#m�Wj[GbkԶ䦅C��3��+M���n��G~[H7o�����f��ĉ
=�g�ga m?W�}�6����-�A�%�4"H����{�d^QQX�;e|G�q?�������~��~'

_�j�2�qƳQ���"�����u�I��eȇ�a�]ӽ�@UB�
(
�ik$��,��]p	~�������~��
+��?6�� ��
+�W�^6������<O���t^P��p���/�O�Ū�\����fg$�\35`�Y�c"����_0��o<��UvAWb�Պ�\�����Xs
-��(�iH�.������~
+5��}rW��{h�B#^r�����?
+N�N�#�
�>�z�:��ƃ ��ݢ��V�iM�:�%#3�ۖ��gk�T `7'��k=�� ƺ����I�$Wә�St���f��*f7Ŧ�yM"�{����Tiۭ���]���'
+�����G�����9YU
C��p��cLESf�o�7�[n�W��C��;��]�˵�j��5]��u�]����l�����?�y�g�?0Ovl�i�1>�$��k�՜�ꈹ^E��K�w�H[S������i(�­샯�S�|Y�B�;G�Ș{\B8]�oA�_�ou��y���
N��B�s��\`�
� D^|��4���endstream
 endobj
-2605 0 obj <<
+2803 0 obj <<
 /Type /Page
-/Contents 2606 0 R
-/Resources 2604 0 R
+/Contents 2804 0 R
+/Resources 2802 0 R
 /MediaBox [0 0 612 792]
-/Parent 2591 0 R
+/Parent 2796 0 R
 >> endobj
-2607 0 obj <<
-/D [2605 0 R /XYZ 72 720 null]
->> endobj
-2608 0 obj <<
-/D [2605 0 R /XYZ 72 700.324 null]
+2805 0 obj <<
+/D [2803 0 R /XYZ 72 720 null]
 >> endobj
-2609 0 obj <<
-/D [2605 0 R /XYZ 72 335.386 null]
+2806 0 obj <<
+/D [2803 0 R /XYZ 72 430.576 null]
 >> endobj
-2604 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F35 1440 0 R /F48 554 0 R /F54 1447 0 R /F70 642 0 R /F79 926 0 R >>
+2802 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
->> endobj
-2612 0 obj <<
-/Length 2418      
+>> endobj
+2809 0 obj <<
+/Length 2123      
 /Filter /FlateDecode
 >>
 stream
-x��ZK����ϯ �
(`��'���^�x��bg3�����8:z�)j
 ��U�M�)Q
ƻp�����������|sy��[�!XaLry����<��1��a�>�I
->�p���oe

���&�4��dJ��'.t�i}eVCUA�H��H����#MX��xY�YndX��:
)�!�)�È?���3�	v==^ �^�z��e�I;�ºy
k�B�9��?�lR0i;!֍_���2�r"]�]��j��K�X�1���޴��ז�I&m:�Bo�	��Pӫ���dR(�
�dB3�sڵ�P��93��1��M���^`#�
-K:�Q��
�Z����`s��ƼA�l�Cg�QʒHי�{簞���G��A\�>�
��E�ػ�Sv�h��\���߯]/g���c9ň��Y�I�u(�e��
�#�%?��n�e</>�n�'t�?�[9���
��Qy��f�dž�!�c�ʔ�`$
�8t=� Қz�o,�i�A��k_;W�`ܽ�:�k�3�
-"���$f5_��8R�'�J�.&^o:x���dN� %�f�{w%��ʻ�>I�D����
oן������r�F}*&
�}ؼ9����v0��S지Cܳa�/�V���jV#v �)���@�z�|�.�o^A�3;� ����-�L�����ᖦVӖb�ڦ"DXV+�؆��Ħ�v̔ERc+�E4�ex�ũ�B�*ɴ�L85�2�@�
�s:%.����z�B�֬��1J���N@�p9S�	�t;�$AW
P?s������
t�J"�f�π'���○�x2���w�ip�{(s��"Y^��HP������_���n�,Z���C��v�D�ÙP��H8�
@t"P�6x�F
����T�s
`?E)� �M
A�t`R�X��8V#!2�
�R&a��Ĩ!%d
p�A�FK�7���
��7.�p}�D��Սx#�1�I� �F���ޏx��#��1Ŕ�#��	�jv��dz)�_q�����s�|�8�W�
�"�w�~L����^�
���8uQ���?����B1k�
- �(h��M�Tc�ҀX�eG ��A���q�ǥW���IUB�h�]�+�u�u71&-��^-*�J��j�y����
e(�>J� �>yP��A1�l�t��vG�W3/$o�'�z�^X	L��O�X�c�d6G )��h0(M�����d8~�wL:��#d��P�Lf�҃�
����z��=�	}�+l��?8�^����}�F!cN�nÌ�@��r��z�ĩB�<���B�G���q�y���ɼ�El�ц&b|0�DMޡR+��Ϋ#k���eGx��#%OC���~���#��p[ROp?%�02�
@������h��F)��\�ao��s?w�
�*9�S���/�/Pq
uQ��������A
-PL+��	�G��@��~������rR�x��D��/D�
��B�>
��m
u���>�}�EYn��.fҿO
-��
h�V��-8��@Ұ�7�B�	��_%T�}�*������_��E=���z���<rG�$E
-�&A�vC�
?�^'Z��+�vS�v�#�I,__�|�c���M�ø���IP8y?�}�P.oի@����
q��6| ٮ^��@NTZxV�������	�u��BM������[��
^��%�bVyb�
���_!\`���U�����?_��3RS���D�"J���:K��
-j�^U��q�؎�MZ/J��zS�������G�&sA�=�NJI~�q��U$�v�0|���Q��/Q�T�G(0���c��������N�_F��$
T����f
��

Z�u��-}�kQ�Կd�7mՐ��<�	;(��W����A��\��6%�g��Y�5�%�	�Ͼj�B�BF�ݾfa��U�7��
.P�3��wz��C�x�Y��� �3�*�,��R���
z�v����v�,�u}
��c��q0hY�[
B��_�7��������y
�=��w�
�&��� ��Y�=���T�RT�������̺d�8Q
u�#�n�������yhQW0^�t���{��k����^K�+$�E�i���!��a�>]8����;|���~�^�,6��k��N���qv�f:b
<��]G�I �
�s�1�%
�:� �Lal�3^�L�t��ζM9m_�1v��?2~=5���?'��պ��k�ħcL�R�0+��R�!&6�
 �E$
�?��c0�ꑳ�PE��֩�߬S
��
�Ps�1uH
c��p�!?z��U���
w|h����iu��{,du�
g�s/N���?��Gi�T�-x�,���l9<�!D�F�1(��e�2;��U������uS.��X�����68�b�*Hm�|m?�~nqtǎ1(����L¯��GJX!~?ǀ�endstream
+xڵY�o�D�~EuB��x�� 
'Ё@���!��6�&)qr��������z�qڔ�Nl���7��]~��/��g�̥0g�R��E����2q.2	W��~�5�H�X�kU�H��Y�p����%S%��ʋZ2���[��۝���k�j���0E^]�웈��?�u364��D�v���
G��s~�8��&��D����2�H%Ƿ]���U���V�ٕӻu/M�����ioQ4�.�3�
Z>a�&����(-���KsL�,)J��K�5n���H�M���8_?H�y_ӌ�)��L֤u7�X7m�^�b��݇0�j
���6lK�Mb�
�M#�G
{w;'
�vȪ����r~��o���eLЭ��D�\k���o�� �Q�1�Ły9�������!<�,��
F<�kT��L�aFUh�]
+�����%
�Ly�ðw��王��V�ۀ���;,�Pa�!�FBz�C��������q+kQ�&�2k�Ht���"k�,�("��{?�7'���v�#p�16��8h�Fo����% ����c�����U��1ќ]o�D����zL���*��\�0�=V"sXZ¢��ZSf�[�x���ȇk6pO��d
)4Lҙg��o� �7�_G�Dc1͙7���}�ߎ ���c�
�vɎ� ���j��Wx�
�f�(�`м,�uF/‑eEN]2�;6�����V��ɬA@$hU
����z��\F��^��:�


j�]d�,�'�
+�O��#���s����*�>��{`P���G��X��ƈz�k��[���^�tq; ��{�]?1����M���=�I��9���d%�`�ro�(r��}��
��D.�By?��^���z��HJ *��3(�B���CyL�����|��.���o�%>I.
S��/4�o���J���#�n��%;�	
������59�6�1�����W�!�����g��oz
��X�-

��Dn"���R�����O�0�M�I���;c���-�`���VEQ5ȇ��;�þ{/�x� n��綛�l=d��c����D��y����v�UOY�6Aդ�/�}A�!��Y��
��_�>-prX�����䴫�F�MG�wX��;���O��et9�q;��7�F�
+�82=��Ӹ�S�=,�V����JF[�t�h���5܅
,P
��@,�R
��Uw�F	�rS�
�V���8��`��e(Ψ$�d]�Ea�6*n
��c�p��E��J'�#����?�D�\�X���Z
da�]D�a��qt�[?wěRP�4o
�etnj��W��;������`S��L����:<�v4��n��w��,���#��v"��J�
g�IC�.�#��=r�PVy-�!PJ� ��sؑ�� ���:���B��;Sǵѩ=�?�Il����ݠ��.ƍq��J�˜fҔ�R6q�w�?�؅]��&��,������'
+��z9P�ˢ��/�4��עv������� � H�G]�mQ֬�{c�@s�
OX��	ܹ�[T�f����B��� w��w�8�R��}?�]�܀�%AM���Ÿ�e���у����AP�,UR0����k
y.#�ƚС�w�mC/��
+V%[��
�C���f')i3�9i3���-��M�{�x����Kw�
+
-����ѾAB��y�z��R���+&wQ��d�	�Vu���n�Υ!�C'��H������͕�u�����M$h�>���Pڞ�7�
k�-����[T�h�<�o�*����x?�
�y$2꼪�1+q��q�\]�m����ȭ���(�
��_`FJ��:ZF�h�Qz-p������O�&�A�N.
�c��A�����06/�z����<����N2�(X��~��
�H>m#��4Єr�hfR������`��9��uX(�Ms'���mÁ}vP���?1L��^�O4��s���'&u��x
7&t��>֚"{��i_��7q_n��o7�x��N q�
�bӰ�dz&�x�
��ȭ����O�4N�����|�GO7��Tb;�����]�|��TCz�G0i�n�|�5,
+3�=z�
°'9��ƫ(Ż��,/*���`���)����cX
�P��E]Þ
*���ѝP�ʧ܌g_\<�^P3]endstream
 endobj
-2611 0 obj <<
+2808 0 obj <<
 /Type /Page
-/Contents 2612 0 R
-/Resources 2610 0 R
+/Contents 2809 0 R
+/Resources 2807 0 R
 /MediaBox [0 0 612 792]
-/Parent 2591 0 R
+/Parent 2796 0 R
 >> endobj
-2613 0 obj <<
-/D [2611 0 R /XYZ 72 720 null]
+2810 0 obj <<
+/D [2808 0 R /XYZ 72 720 null]
 >> endobj
-2614 0 obj <<
-/D [2611 0 R /XYZ 72 308.288 null]
+398 0 obj <<
+/D [2808 0 R /XYZ 72 720 null]
 >> endobj
-2610 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F52 1472 0 R /F35 1440 0 R /F41 1704 0 R /F67 564 0 R >>
+2811 0 obj <<
+/D [2808 0 R /XYZ 72 532 null]
+>> endobj
+2812 0 obj <<
+/D [2808 0 R /XYZ 72 449.798 null]
+>> endobj
+2813 0 obj <<
+/D [2808 0 R /XYZ 72 429.961 null]
+>> endobj
+2814 0 obj <<
+/D [2808 0 R /XYZ 72 405.485 null]
+>> endobj
+2815 0 obj <<
+/D [2808 0 R /XYZ 72 383.328 null]
+>> endobj
+2807 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2617 0 obj <<
-/Length 1733      
+2818 0 obj <<
+/Length 1040      
 /Filter /FlateDecode
 >>
 stream
-x��XKo�6��ȡ	��� ��M�[����n�M;ll)��d���΃��Dy �M/5
93�<���W���(ID��G�Ke"ˎ�4Bf at Y���u����Zٔȵ9����8���T1`S�(d`{O�4��
OR��VU���׆)�)4�va�j|aYm�x�]
03�qR(!��XDZj���J���`�e��>6*j��~��J�RS�
����%�ᕌ쐂���
�m�W�$�P�Y<ɳ��x��#;�T�$
;
-X�l�я�%��˝������D���i��|���
�!G*3��È�B$���z��C���x\dR�e71B`]����گW�w0T ]�y
U���
W-������
���-�8G�L�~n�q5T4MJ�Hp�/h��g�W�]��Z���&)��d	X� ������l�H�/0||x%s�E&�A��f* ��l�d�măx���:rltP �K���LaP�L��U�
���g���c0
$_�v���=R�{�V���LZ�!�|/�#�w5ͺj���o݌B�5��5��9p�¢��f��w;,
�pn<Q�xH���8sB���7{!y2f�8��p����TM�	�
Ь
� ��\d��� �R���r�
�,�9�$c0F2���z�X�S��z�Wam��N��8�١���"�:ȋ��������G�"dT�
�V�|$9
-�T�h�Bc���1/
��x0�2N��cD�RB����H���r�'!{�T�m��=�ħ7e��䐄]�#8^"��ڊ�
O/���;#��%�C�	��Ur�5�x u
-r�~
u0��Z�d)�}�3�����}�9�	�/ȲGKtj Ȳ��Vt�J��y$j �]hK�a���5N���+�t}H�[[�h���ɷK�
�=3L�;TYY�IK��	PhR�4
�US/��D�T�A�U`��s��=Ė��
4�M�s�o$���ݷ�漊)3c�o�;�}��op��=H��ji=%$~evɨ8p1}o��X	��$MD�Y�)	�SNd-Ue�Ul�&|w#F���H
-n0N�Z����sU��Q^�:J̩u���5O�q�t�n΄6DɊL�q���-���0s�P?�����r|s��tzzŹ����nFA������O���| ����p
~����vL|48���u�O=�g`޺��[�g�Z2�m�/���߀�$8��}{읿�U�[���-]��T)T�W^8����i���(���
-~��o�Ղǟ����O�{q� ����<��P�C����\F���
&�,��_�������EE��i4m��2��L
��p�6'=�����
��{T+;ڞ¨�[������DT�Q��GRKY�ZO�KhF)Mӵ�
���;�%4y�
E�5A)}����;������A�
�	,��L���n6�=���pN’�\���c���=� �a���v�
��{
�������m�z��/l@�æ����ٮ}$���>�t�߶,�f�+�@ ?ȁ���AxTʠR�z��Y��k��N�~&��P������5�겄*��sDt��E�������?]pɩ A�v�wa�@-�K���*p����� ;&p
�`�s�$�9�O��џ8U��Ѻ�v
$��]��ѯ[~ۺ���b�Q��Vt��63���;C�ڱ2���*t�PQh�����KOp����v+�W �B�#
-����G����_���Y�endstream
+xڝV�n�0��+|��*�;�ܚ�)� -
+��
Y��&�+�m��|�áD9��@��
gy��l~��\�j"���̯&eŌ�8^2��`�m�]
+>�1��\���s�L8��J9mgb��u���	��̖�w��Cΰ.`�����s�����l[X��mK4`9��f�*��|V(i@�,Ѳ]����>�7IpKJj�sJn��/����B�"^��9��d�I2�&h��W��W5}��
�e�r�9�;��h�]��B+7�$8^`
��z��bم�Vt�
ܽ�ʄ3�w�n=+��֫T�"\B
��"1h4-����=�*�bL� �$�d at 1�t1��3cP�
�V�Q�{
���Y�H�6�C3)#��݋@���
�
�i��y��=�P7��eTu��t�ʍ��	����IK�Y)ER�1!��ԕ�d��5A�m�=�FDbt}Z��z�1�t�ۘ�mR�;
+�zЊq��X�B�\2�-Y���gd��
�9i�b�qO�QAutUH��IZ*}��`)5uJ�8
�Dh��2f2
��ī���mQ�
+���
��شr}�HV���o.˄�h�l�����**��SB��}4TV�Q��$�P؟�P��j)ua;�
�\ =_C� �z�lZ	�>dN�NB��)�@��C�Q������ �<k�����xǒ��\/JL��
�bu4uXT�J0ar�"��f�ƺ��r׷�\G��($�p(b
�E�qdž׷ܡ�� ���͓���;�*�3�N↘q�=� �j�:ܦE
�wdC�
����
 ���|_;`��x(!�5lY�~!�<n��������g<�w R��G����GS�"�h>w��'�bҎ[6
	�Cώ����gc��J��C[������-���[,���}@��
�b��.���\�[ˬ�����rC(S_�ݛ{�iv`2Ã�e������H�#��5uބ�
*r�]|-z{�I�6M/��m�
xS��y� �D�GR�..hŀ~m��k�zc
�Z��E�hB�����
����bBt[��,'o�'��endstream
 endobj
-2616 0 obj <<
+2817 0 obj <<
 /Type /Page
-/Contents 2617 0 R
-/Resources 2615 0 R
+/Contents 2818 0 R
+/Resources 2816 0 R
 /MediaBox [0 0 612 792]
-/Parent 2591 0 R
+/Parent 2796 0 R
 >> endobj
-2618 0 obj <<
-/D [2616 0 R /XYZ 72 720 null]
+2819 0 obj <<
+/D [2817 0 R /XYZ 72 720 null]
 >> endobj
-2619 0 obj <<
-/D [2616 0 R /XYZ 72 430.544 null]
+2820 0 obj <<
+/D [2817 0 R /XYZ 72 547.637 null]
 >> endobj
-2615 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F79 926 0 R /F29 672 0 R /F76 747 0 R >>
+2816 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2622 0 obj <<
-/Length 2186      
+2823 0 obj <<
+/Length 2151      
 /Filter /FlateDecode
 >>
 stream
-xڕY[�۸~ϯ8ȓ��\�"QJ/@6M��؜�6}�m�bKgE��
-�o�\HK��ɞ�b�5��8�͐�����s{!�P2���^Xua�B�z��$R-d"�']����?���dr��)�EJS�f�V�Ӵ<w&8�Bf��}�X�"K~�wՀ\/�J��R�"��$t�{l�:�M~�w=ta�L
4\�SZ~��v��w 
��;�"K��RIQʂ4x�_�����&�J����Wi7���?�I*ԡ�V�Q2U��gd���T�P���t��ɰ���)�l�W�r4��E҃ٵc[��l�y�PEҝ����w�?^Nŏu&���]�'����
�o����5���/W�B�`A�w�ٰ�Ki�19Y��*�@--}{B��L60�K��<�,�Gpk�XZ+�K�Jϱb5c@����
��a
������}��f0w���m�7t����
����ś�y�A�~�i�soO�P��� ��k
�N7���T>81�ٓ`y-�����;��c8Ng+%$H��],3i�{ӻ���?Cg��,�GF?nv��5������/��?��zō#���
;��/��~��
�x5�����
�;X\F��[p��H5
-�E��y/����H�=����	�1���r;����r�쟡��l6
y1.�z��6K>�W�!�$�
�Hl��
-�mv~ ]W�܂n��
�ӆZ�U�id���=�+*�CF�fj
:.p�o��v���M���0�oF `����]�����9\�Y)g���p�����O���k�A1���,�%@rZ��J�1���i�
��=�I�lԘ�r��N�iɔ�sW�Jd&���70��g�y[$6�3�,��ۈH�|��'^�
Ҿ�ĩR�y���2K
��Pob
�CK��s�|.`��WD>�Ң
\Z{�z���_�S�K�T	-g
]��a�~�Lr
�(~_DZ6�U�����Y�ա�H��p�I��"�ȳw5/����:Y�K�
��q�3�J��<�
�{:㔇"��x�!��|��!L���;@�O����*Y1
�
�/��4a�a�T��i�h���q4�@2\�;`� ��ĵ�P`_��\���u׺�
�������[�Wo���|�T�v�t��N�T�ʍ���kڄ	��2D���/6u�y��0�6���Ol�6��eJp�	�z��â�`D�����IE!�
��J�q���ǡ᝶�Þǘl��
q�
�
op	�u�#9jYJ��jF��q��
�t�0�x��g�ݳ�tn�pOt
�d,�-�n�
����k�F{�? o�}��L輘+��9��
����b���N˂�����@�����9$pg�,��d�4EI�B�`ʉ��ӷ�/��g�$iZ���H�*�n��.�7y��;*���|�+�}8~�ݹ�'.���?ߴ�����p�d	_�ҳH�܊N�
�S}��AӮ�.� 7\���1��Y2��`�,7A��|QdB��yh�ݞ�)~b���n㟟N�C}��;�񁐫���$൝���3��(�s*���y1
��e	JtT��
�bp�B�|�S�T&3  qˁ��.N��
�����>�J+rS����?±3�=p��W����0m`�
:t�f]
�(I2���Ѩ��W��'�1��un�p4�g2�_�5-֯
-6	NOդBHu���T?��Pe��m��

-v
��F�f�G*^������ �����g�
���4$r�`_X���u�"{��9��3��a~Ҵ��z�P	5d
�b�&7{���
xe��
-�::
�Q�B���+8w�ɩ���~��瓭.�d�W��OH�Yn���|�E�]�8/���a�7<�>�M�@�T ��)����l�
/=]����LM:�$�2��!
97�ԅ! �+%�/B �l�tt� �bЇ �9Ww�Y��Q��E�k�Ce�����b���:�"����3S�1�=��@�V味4�"8K�݀��� ��t�CL�ܤ+6+�;���;�9��j����wZ�	i�3�D9
^
��s]�z=�
��l~	��C���C��)/��
y�

tχ5;�q���&���0�̎��L
!�B��轻��W|��{�?�P|�5u!=��~uj���ھ�^����Dq͞��G�
-ΔJ��x�¿
-������?���endstream
+xڵY�n#7}��0�$�Z\^�ٹ,0����b�g�I&�Զ��-j;
g�|�V���(�
`hw�ɪ��"��ɋ��Q�
�Vh�NΎZ}�J/����/5U
M@�g3���0G7Ŝ�k����0��v��
+�5�irF�N�/�3���w=N�C�㩿O�y3�����T�������+
��/q��|��H������n�
svCh�� �zj$�+�fl�L+�)Oֽb�0M���N������^�e����%�օ���� �AwG
+�;�a���t#tӑ�\����J���6B���:F�	�d��
� ��a�(��
>]� �+5�÷E�b�'$��&�j'}��_�-4;������FEi:.h�״L�F�.���{�h����!
�5�O��l�n�
ޓ��gE#��0RLgN��I��x
�
+(��Oh�ý+F
+
��]��Z2�h�crOX-��]�����*�d�n�CQì��g��:��nñԵ

й�@�!
+ZH�t%�3���G�c��h�����IZä�&�
|����h�]�����F�
�9�t��F�����
��{�����Y&���M��;�}c!��=�+��Aƪ��\	��� 
l�
���\EUS���*��
5���r���س?~^"h��&mĝt��o�)m��8��!�Ȏ�_r[U8I�
�K��!z��蚞�{���b��q-�W��
��=ќ�-�6��d
�G�>҆F�Qr�t��KnD
��� �9Ob��
a�)7ȍ�8
+��m�(�����9�Ή
+*� �-��*�5`h��D�����<$#�k�{ʞ
h��~1��M�K����,gs�y��&�9�*�[-
տ�Q�!�C���j)Zmy�@�j��&�#o���=�w�՝��X"���e�~AiI������F}~�C��0_�(�W��l9���-K�h��HhG�Hy2
+\s\Cu�{�?z�;��>�b 
6<��I�^6�m,�oy2Xc�s�[�¡�w?��_Śg���Q��$7�O�0lL�k$�W�^^���ڸ���r�ǚK�����p�ڪ^J��L�
�+�HfST�1C��(*�S� Uv
+���J�E
�u�}j���2�8p��U������>s+V
�=;���yd��t�����j�̴7	f�.�����\֢<oUur}��V�W��	�N Ft�y&
[�¦�IW�����µ	[�%F��}��]�_�eH�0ag���V��:%�֣���jNVI�pU�����礶8�3yu�"�vI\�:e�J��s.䳑o��3s�L�Ec�~~���U��s�$l2o�
t���[� 
)��b=��NxoX
�cR�;ืNģ�V�u�%(s
 ��.x�96�lijW:/I{�wI��j��P��GJ�́c�݄�PM
�����
+�� !�Ǘ� ����т$�q���M+$l� v�
��9�w�d
i=U3r�qc��q߫�I�?(ȶ#ʂ!�A��[ c'����y�\���1�
^��E�ϫ-s�yL/wW\�m�j̗d6z�D��r���Y0<����鱨�M����v������cryO�Rp��im&YP|==���"��+_��@�ǫK��a1/��#N��B?̳��9���
+
+bAo�-��@�7�����P�J=�׎T;�
��mR��Q�^��
/��Q��`�����X��
+{���q{�,�~U�t
5�k�q�(��6O
b�
<�D��xm�
o
+�X�4x
0}�H���da[y�Nu�P����0LU1��BD]�|Y�qw�q��W�T��c-��+?)n�w��|猧1BY�I�^;��o�!��{;`;&��7�H�2ѹ
_66��ņkm>
��0**O
���L�k�YL��,���񁉢�� T�
��U{��e]�u�%+g�����Jp(�C;Sk�So�lk����֥���~)@��q8>��q��=�]�6"�RYv�*_
c.�P��1']�A�������m�{]�)����kOZ�Hy�qc�1���vg�콳�i�5�N�u��z�
�
+>n������n/3~ջ���{V5������e�p3���1�����`ܥ�-���t�Ee�;.�vBU�B'=��v8������/gendstream
 endobj
-2621 0 obj <<
+2822 0 obj <<
 /Type /Page
-/Contents 2622 0 R
-/Resources 2620 0 R
+/Contents 2823 0 R
+/Resources 2821 0 R
 /MediaBox [0 0 612 792]
-/Parent 2636 0 R
-/Annots [ 2626 0 R 2627 0 R 2628 0 R 2629 0 R 2630 0 R 2631 0 R 2632 0 R 2633 0 R 2634 0 R ]
+/Parent 2796 0 R
+/Annots [ 2827 0 R 2828 0 R 2829 0 R 2830 0 R 2831 0 R 2832 0 R 2833 0 R 2834 0 R 2835 0 R ]
 >> endobj
-2626 0 obj <<
+2827 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [292.84 438.09 326.764 452.038]
+/Rect [292.875 438.17 326.752 452.004]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2627 0 obj <<
+2828 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [333.197 438.09 358.601 452.038]
+/Rect [333.215 438.17 358.592 452.004]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2628 0 obj <<
+2829 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 329 501.89 342.947]
+/Rect [455.338 329.079 501.9 342.913]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2629 0 obj <<
+2830 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 329 533.192 342.947]
+/Rect [507.837 329.079 533.214 342.913]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2630 0 obj <<
+2831 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 312.727 540.996 325.347]
+/Rect [449.991 312.812 540.996 325.355]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2631 0 obj <<
+2832 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 297.617 175.918 311.565]
+/Rect [147.912 297.697 175.883 311.531]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2632 0 obj <<
+2833 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 297.617 207.784 311.565]
+/Rect [182.33 297.697 207.707 311.531]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2633 0 obj <<
+2834 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 186.534 273.869 200.482]
+/Rect [239.774 186.613 273.651 200.447]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2634 0 obj <<
+2835 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 186.534 305.735 200.482]
+/Rect [280.099 186.613 305.475 200.447]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2623 0 obj <<
-/D [2621 0 R /XYZ 72 720 null]
+2824 0 obj <<
+/D [2822 0 R /XYZ 72 720 null]
 >> endobj
-406 0 obj <<
-/D [2621 0 R /XYZ 72 720 null]
+402 0 obj <<
+/D [2822 0 R /XYZ 72 720 null]
 >> endobj
-2624 0 obj <<
-/D [2621 0 R /XYZ 72 589.73 null]
+2825 0 obj <<
+/D [2822 0 R /XYZ 72 589.783 null]
 >> endobj
-2625 0 obj <<
-/D [2621 0 R /XYZ 72 507.497 null]
+2826 0 obj <<
+/D [2822 0 R /XYZ 72 507.582 null]
 >> endobj
-2635 0 obj <<
-/D [2621 0 R /XYZ 72 149.298 null]
+2836 0 obj <<
+/D [2822 0 R /XYZ 72 149.415 null]
 >> endobj
-2620 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+2821 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2639 0 obj <<
-/Length 1835      
+2839 0 obj <<
+/Length 1863      
 /Filter /FlateDecode
 >>
 stream
-xڽXK��6��W�9�H��M*iz�(ڢE�Rds��Z�[�Zr�͡��3$%S���l�\$��{�!��b��
�S�H����zj��PK������uݔ�)f��:in�`����$�b�|���go
�x�i�%�4s,~�����
��d�k��O��P%_`X��Q.�qI�v0X{�=Q3�
�"px�_�
���Ǐ~b�Yx���=�pny�Rp�$/r�h�
m�s�
%�ȼ�Z�v1�+�&�U;e׸h{
�"�v��.z�F�_?͔L��jW�8e�������b�
�nWy����ܮW�Y\�Zͦ�^��e�(���*_y�A
΅��n؏��F���
=�/��k��
�r=#v+�›tI�l���O<B���� 4����2$;�.�Ss�D��%J=�(��5�0�s�7�$úq'
�#��tO�E4
F�)���	������8(/�H�9��gGr� �suz�Ռ�d��р���$�k|[(�Eq
mR��B���)>�z��qj�HD
�<�续�^�e��"r?����4�@�nc�\�;D#�T[�\��MY�p���zTe>�m�48�q���'�
���TiU,]:��:B�Є��b{T�$䴍��
QBn��|�/9�񂑡*�����B��a\�N^��f��Z��EY7��j�Ѱ����؆Ջ�
�t�ǫ�i\(��<v��
a�\�a��d�)뺕�ģ�t��@+ [...]
-(~�y:3��ى�ž(	
�����2Ў
�
E/I
�>��@�r$�a��<JݘQ��pt_ca�
��^,_�g�^r�������
�qm�q�Q.�/����2�h��!���BG�{I)
�
FV���e�m+
��Vӻ��b\i<���
�[E��S�1�V�mE���2K#n�
*i at 4p,��dY���S:�3`���7�
n�`W��Ʀg{1�0���\�1�1H��8H�4�@�13Z� ^�P-��맄������� 
-�p��dP#ۃ��4ؽ
lEF�
��6����3�$Q"e����4
�D��G�W�=pV�vx$}�O}��X8����A
#da�'h��/�o��P߅xYf��&#ڊ�#Q{ˁ���n��?J��ԭk��
�NLx��ᙰ#�wp��m���
V<CiU$
w��g�C
)�\(
-ݻC{�]����.![�}�1�k~�9�B��
�&��
�_b�LtI;� ���`��E�G��
<�ps��zE�>�sÃ
-eX�{7���=����߼�ǡtN��]o�8|
#���ػ�r�o۴�C�e�����R
Pe�]��V���a
�
���X�y�Bk�e��F1!����;rL����X��endstream
+xڽYKo�F��W�9IH���.Ӻ� I��-Zė"�A�d[�d����=�w�E��('A�H�p���������k^��J���0�0�*�i�n�����t
��9\�y5+����}t7��������?}��5���E�%���~�����@M<6�����?�m�R���D�.�:����u�h(�
?���]$^�l���E�[������j�H�O�ϓ(pٞG}ܻ'-�%�׼à�+�E�XG���(���
e��
vT�����Y�кcߗ-�^��"�:�v.�j�i��g��\Vu�ō��z����� �nE�������
���Z��}�.�Q�M��[p�Y��9>5�GS�n��y�/��l�8���1�W|g���ƿ]~K�,Mhp��g�s8����s�>�c�d�f�S����%�.����@��5ԅ'
�q��@��
+�@�3���T�(���$KxJ64�
A!Ȓ1\_��:�O�Hy�֨w�E Kh���6P5Ϟ�.|���
�+�̎Ԑq���X|
��^-����]��
�9����1=�+�M�Q�Ɍ�����Y����^ŕ�'J)
t'
n��]�0��zY 8H��7?��ex��t���x���	���^��w�ru7T�$��i�
Q:�@ �3�h&_��Ps�4&�rzPGG��M�Ar�Ƒ���]�C�<G���)O��/��X�2�G�r�C at v�Y�G���1��c���
�3n��W�F�e�)�
�Q(�M.�
����"u�e��Qj\�%���W
n�A�<�.�1�5\!d����전[i.;ш�h8�p���_�
����_�
+B�2f9���B�y��jֻ�����ռޭN,<�77�[�s���e+��C��1]-�
e��w�tLh���q$�ɅB�����;#
���C�$)˜��R"QgTd��"\�(.[%��f�b��"M1PԲ��\�qr���Աe�Sj�]��R)'~

�QI($���F���{N�D���
C��v��t�B
V��ʨJ��4��?�w�i������7��
�PӢ*�E���?m&o'6��īD�^��]7L�@���R�<�3�CL�0�Ě�a�pހ

ex��"Ʋ�d0��ˋ

h��P*ᦂ��n(ig\�D������kv��
h_W&Q�:f

NoM8�!�	�U����޸����c}X~^����ME�7ӈ� 
���+�(�
2yތ�^��P��̫�R0B�*��,ch#�F�ES��\�aY�=7�'JB�	#
�S��7 C *����L:�)��M3|�aT)"�>�ϱ�o�P�v�TĿ�}�
�:b4�r�h:"��6��a�Q.���U�pda|��;��#��>�D�q���w����)�hN>d:��v,���K>���[E���O��.�D�|�J�J�m�y����C��W��q�)�'
l����-Q` T��X+����Ƚ��g>٘u�[™�AB\�HY��`
T��B���M	� *�t!������j`R�������${3�
 ���f/Q�2A[�a?&�o��v���ʚ^���Geҧ�4
p�h>
j��,̒�������*��s]�f�:졊��Eh��;J��d���f�E�8�{�[�x`�a��эg��N�鈹�ߎ�
 ����؆��
�i�0����X���I��;0��ε~�w�����u�3�k��XSuƘ�	�P�*�3O �Ƹ,	5 [...]
 endobj
-2638 0 obj <<
+2838 0 obj <<
 /Type /Page
-/Contents 2639 0 R
-/Resources 2637 0 R
+/Contents 2839 0 R
+/Resources 2837 0 R
 /MediaBox [0 0 612 792]
-/Parent 2636 0 R
+/Parent 2842 0 R
 >> endobj
-2640 0 obj <<
-/D [2638 0 R /XYZ 72 720 null]
+2840 0 obj <<
+/D [2838 0 R /XYZ 72 720 null]
 >> endobj
-2641 0 obj <<
-/D [2638 0 R /XYZ 72 518.215 null]
+2841 0 obj <<
+/D [2838 0 R /XYZ 72 489.355 null]
 >> endobj
-2637 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F48 554 0 R /F52 1472 0 R >>
+2837 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F69 550 0 R /F73 1467 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2644 0 obj <<
-/Length 2638      
+2845 0 obj <<
+/Length 2538      
 /Filter /FlateDecode
 >>
 stream
-x��ZK����ϯ�
(`��'�g.F��}q�

;�{�H��@�1I���!�=U]M��Z�����	|��hVWUW}U_���\}�:�!Xn��f1�rb�c\���M�Ӿ�N�HکH*�S6�TY���dA���C�i*��l�黛�~m�@���d�TJ&`F�V
-Ne6
(��f����Ȕ9Oʇ;8�I9k�9]z?5&)�{TI�<y�M�g�H
g�
�~�ˆ|8B2�u񧈈��N��}L� PC�BE]�ASm���~]x�
Y����*�ݔ�r�[����iw�3�*�᦭fto��6�#��n�-�j�;I�,����u|�j^�F.ɸ_����"��Le��p
��1�������w�%�I�3���P��#&��և/D����8��L��errs�3Z
-�p��C�f.�,y8�;c��{$�)'s��BGT�LZ9���n�&"l��B���6�����O!@ 6Rk�K0���T2�ȋ�7L�C��U\�!,���P��9�=��ũ;��W�
s�xs�tzxK%>:	��E��*���~K�,j��t�]��U�F�uuu�Dž	7Jt��
����=
=ܔ�?�P
�k\��δ�wٖuC�q.$3N~R>�߀�N*e<�
z2W�aV�W�q�-�nZ��y�����<v�Q(�s�R�e1�0�@G�\H��4K!�������@"� T9�C��O�}6�������b
���`T�!"�% �"�G9�Ј�����C`��Oxl�G��be�
�@�sJ��B\��#�X
�v^�`�P���]]"��E���d^��oH�3y�G���Ie],	�����R�����ݶt_�6�o	��<���3I��˃9�Â�G�;5��\�q2��Ů&X�pD�.���rm]z����m	
��z��;JMh<��9s��n�0����Qf&�tB�m�~�z�O�W|���4,�=
C����
-,�R����߯~�e���t �[��mT?%���^�o'HA�	�
�%��[�'i�۰��W2��ױ� 
���S�'Sk&�=)"X�����_�ёui�8�@A��	~9� �:�1U at b@��%]T��D����vȉ���0�춙
��T>86C
�F\�8t8��iN�5��
��c 5�6!j�)>�d�1�;6;�p���[�oq�%v��@��)o�%I
#���%��9P~rt໘!#�H^Ft�?�$0�
�`ϩ�ܯ�=���Cu�4�OH�u٠?�vXe����%������tz(/�b��y��">PW8�v]���DW�%
"x����� �}f
e���~�P�qC
�Ĉ�*��T���9�ڗ�z��b��α�����ye����)��N8hH�j-��'4���MS�d��~�
-��Q���z�0� �f���~��p�[ ��
Z�E�UX-�BC�E�dG����O�l�*�������A�+�Q2ݎ����S�����{����-�CC��)�`a<�+��)r�z^�
��W��8���)k��Q�K���޺s���0i��1M^��롛��@�Ӷ'�B��E��7w�x��x�'%m��s"ylW
��V��>��	�u�b�ʇYy�v���Gc�Q=1�����۟-���V���Z�a�-�

��] � R�+gv�x|�HC�t�y�G��ّ
��H���t.��C=��Z\";�+p{Dv�e�>ޟ�
����3{v�C��q�� ��m���Dw�<�c�*,h�{����Ẋ��Y�>�r�d9�%p�_&�	�ҁ����L�'H�$�c��q���dOq
8��d�#�
�1�
GZ&�
�|ڤ���e?^1�5V��y6�=�s�	��b��d`X����B�hK�/J||t#�W���g74mbr�X}�Y��a���
�
W6�����KZ~}����F_�m���?�mFx��"(BM���2��C�:Юi
�q�sje4o
:6�x�	�/{NC/�
��"�#�mQ�Ns�,Ǹ�fyN��z��t����m`7�c7��8��d@��������h�裛Td���F�3�Q���G���-}d��4���&2}ZC�5s�cfߒ�p��ò o�O�A4�Z��l�APxx��3z�N#Xj����q�_�s��us D�v��3AP�W��74�}U��fp�5�kx-3^���ܭ�W�
-� wO'�~}[�]������83�$��u�DOWK��HW������W�zi�����k��j["'�%�W���ܻ�|�1\C�/����`D?B��h��-��F��Y����K�3Gt���@[rT�·x�/�_��}]�9�ih�##� 
B�q�}��:훾h��k(
a��6����
0��0G��uR
|(�X��H�CdF`��ޞ�r��q�_��3�X�Y@{3���1,�z��x�Z���`�8r�!`��.���96
�KA/�i/vh�/{�~��	���������y����K�U�l�Y��Po��
&J������8��,�v���>��@3�G_��j�5�\�]
	_<xBU�ZZj���\��>�F5#�L�|�<��(�{L�
;�~��՝X�i�u���\��_����t�,�^�@� d�P��y�m���:�cendstream
+x��ZKo�F��WA3���/�c���%�$k� k(Y
��h$+�a�VUw��ds4�, ��AΰXU]��߾<��
!t#�]׼<m�l,w�k��y��i-V����r���.���g�[����\����s��(����@��� aYg�VJ&:K�^K��,��k8Ѽ|�l׭�j�����ڬ���r�a�u+T���z��y%i
+�y������&Q�͕R�Y���"HF�ף�;d�]KGZ�6Ǚ���Tb��F�K��������L��!�h����t
�%�'H�W'W�X2_Ҥ�D]��᚛Vh�L��im�
�vςe��mi8�+今=Sƌ�V�u��$��YxU�����
+'ə�~ �&�`�3o)�!�(�,�D��@+��s�h��bE�����3i%��d����.y0�D&�5���e���&���M��I3k=\p��#³@��'�����b����wLI=輸,IX���Bj��9i
\O�А
1y7)YRQQBU�Jxj��pό6���,�]�3
+�D����w�����h�-~�y
@��
+(�㗷Q��?���L
A\�[��1\OD����{*�p�>F�u��
+ӦJ™�EU�C�#d){$����ݛ@�@��
e=JxQ��Qg�P�>5�h�d���.ʫ�>���@=:够�iq�yS��S��
q �"��&�h��e��^�Ϳ����Vi�c~���W�U�P��]��e�5~�ڊ��P �,��PJ��,���b��
"$�B��YO�Ϥ��n�5&�.�� �������=k�Ё��9�t�PZ��^��Mw;L:T�.�<�*�J�T8C�J��,�u�)�H��O=m�MHĸ��<�	�Ki	B�R"1
C֞lm���W�w4�P{�)Jj�ry� ��"�U�
�� FcJ J�軗G�d��*O�h
�J7'ۣߎ^����7?
q��k���0���NK�^
��见W����o�(�Ot�H(z��c� /��9F�4��(޴�¬WdB2�R6=�MPX��:���v���LJ;kI
�L�:��^�Q���Z�8Z@����2�BW�>�c4@}%�R�u�B2ե�i���
e���ϤX��5X&�sQ�NN(4�S�\�1�ڲ�#����|>"/V���s�a@@,�	�v�>�
�'^U���6���!��P>�9�M͂�C$�Ut"�{0�,��@遁��ޥ���6%��iYa��8�Z�B��66��lr�y��ԘF\u�᫫�v 'i�?���Ejtr6�'�g�E�4Ž�O,��G����]D��
+�C/�I6A�8]�����.B�T0�;_����֏��	�:������ZW:/�[����N��9���Vх�.s��@��l�k��nF��_�ʻ�ϝP��D���ZD��j�u	!8�C+ y��.랰,ƾ��+���E��,�LRQ��ޝ-��b���O�9=Ns��8\#�®)�np�K�6Rx��2-L���
\R�*ְ
-hP��}*S��
�-eT
�
ha,��D8;��&�\��TA����a�u���3A���8┏�we�F��M��
`�T�]ڀ��>���?ʪ����r�0�yf�me�ʐ���]�^5a/�jNeH�0q��if��}E�A��o�ꅐ
Q�����v� _`�|M�E������ݽ����/|[F��q����V�
���)���=9�����J�<���Íx$���ڌ[�"9��r��0�g@���Яz4��O�~�
�J�/�<�/-X_s��B`;���E
�0�a\��D&��N��6�$Q��Z�g�*�9%�,
j��CTE�ԡ/�
�w/}�g���~諿@��-A_�煾� 諿@�@ߢ��u`?Ll_���J�~��
S
+a�ռ�!���L�
8W
�j*Y-a\��q[�F�|�	��ùH
�Ky15�8��8K/?���/8�8��
+���q��3ׅZ�#�����&
��y���<��"�����^!vC%\g�GT�h)�A��E�<�k 
N�m��`��^x���.���k��m*r 8M�Ŷ�v��ݻ� ݨ�GG
�c�����
49�������f�� >�2��������ʥj�I�ճ!E:�G�ߣC�N����]�_M���S�]H�X����۳��6r�
������W�hQ䖏_�L6����02�Z�
ݢq����
�5�P�09�~T��?t��.
��Wb�>�|6~"�&e�kj
t�9.=Xi�0�Է�I.�A)0@Ja��p
�2�HO�4��\�E�YŬ��$
U�~fٚ2�Y�v�N��>
k:
�1�X\�M�Ù��\��(aC��1�x�p��$�,�$��z��x:�p��N���I�[}�A�GsQ�7o�EoK����qb��T1��|x8��jvҰ�t�b���|J`As���Lt:S���9��]�:K�-�>Ǯ}Pv�mƺ
�����,]s>���<n
�n�g���exu��ρ���m�pAO��`4)�t�˹�:$� f�i��r��endstream
 endobj
-2643 0 obj <<
+2844 0 obj <<
 /Type /Page
-/Contents 2644 0 R
-/Resources 2642 0 R
+/Contents 2845 0 R
+/Resources 2843 0 R
 /MediaBox [0 0 612 792]
-/Parent 2636 0 R
+/Parent 2842 0 R
 >> endobj
-2645 0 obj <<
-/D [2643 0 R /XYZ 72 720 null]
+2846 0 obj <<
+/D [2844 0 R /XYZ 72 720 null]
 >> endobj
-2646 0 obj <<
-/D [2643 0 R /XYZ 72 697.999 null]
+2847 0 obj <<
+/D [2844 0 R /XYZ 72 698.015 null]
 >> endobj
-2647 0 obj <<
-/D [2643 0 R /XYZ 72 171.792 null]
+2848 0 obj <<
+/D [2844 0 R /XYZ 72 171.798 null]
 >> endobj
-2642 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R /F52 1472 0 R /F41 1704 0 R >>
+2843 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2650 0 obj <<
-/Length 2090      
+2851 0 obj <<
+/Length 1987      
 /Filter /FlateDecode
 >>
 stream
-x��XK������!@$�jw7�A:��v9��́CR3�J�LR3��?�z4)Jj���b��h�fwu�����ͷ�|:SJd���V�4�ͼL�4�P�g�^+����?�}��d#<yig���[�z�n7�e�ݼ�����V�4u���j���~
�K+�OE�0Ndn8����}�t��~��f��b��U�G.�HU2\(��v?}�D
-o������B{<A/�|�SX��
-�|ARm^��1=�'�
-�M6[j#�̈��
���[�Y��gU�[�����0���A��K���.os8�����0�������U?_mۃ�x��n�7�	�)��ϟ��s\���uՉ���H�	��u���((�3�`
w,Z���7x�ޠm�����|����v�D׀_?/�Du��L|���H��w�;dLA[v�����\gS�%l2��{�uD4+F
D���R8�o��/o�/��>^ԩwT��R�
nʼ-�?�-�b��
-5��1Nx4Wv����Z9a��M�ä�\R�Q�u,`�	�W�3�:J��n
Xꖝ)�dis�
E�[+C����(9L_#冿������߸����A�U��"��|��V����*1>�{�[,�d"�'Β3�OiE?�G\$�����$�p��
D��qx��
�����Q�n��A.�H�
�?���� u��I�A��m:�b֠J�u�#*q�@i(�ƴ��6MnS����A��z�
V��[<
����
m�c9L$��
��c�!�ׯ��TB��I�����b
-J����ङ��jS���1J�j��8�A��ok����^�
Ǧ&ڇ�=�<�E^�тrSB_ƕ�����Twұ����� �� ��n�����gt�P�&�Є���D�:�����@��C<t����z�ɟK�!��8�Vt�u,��p^]H��i���
-��V�-@�դ������d�u���`
���1qL"�3Qq�*T��>G�ʲ
9��\���
`��3xU��j �3�6�N��(�D](� ��.X�nv
�Yu!m�Z�I�X�b� �c5����$F*V������gX���{��M���Q3��	��axz{?s�;�=d�5�!P�b����	�N�B[�Yi�%�
�@�_��p&�+P�I�a
 �X�;��L�C��ۀB���d"|/꜠�9����i;��o"5l����8�F�x:b�����*yS�J��ꈵ�F�Ѿ�� ��(pT���d�']Ạ�+�8�5K��'zpB7�+�c$���	�I6\�^��/Ӥ�Q�� 
AȓV�)8	_(u	���s�o:D!�������Y���R��"X��T�q2UN�
��g'S�Լ2
2�(�76�K9��rhb���ѐ%���!;���d��ϟN��4U[L�iHՖ�Ə,^��S:,/�P`�Fɯ>��d����@��-�+�lۼy�N"��
J��G�-Gj*Eh��Q.f@��^(�`���)<3������إ�{����?�Փ�.�����Iӥ��3,��]Վ9�� �hunQ BH��ö-7[F����lN�  \J3������8�H:�r=t�d�*V�Q_�K<��Y�в��xG"���	7|��b�:%p6
-��5��D�
y���+��C�D]Rs2"��5v�1�h:����s���>���F��?�a�^ag����i�2:�@�*�"��!����s�Rfzn�uE9�F�% �����e SV4�.	9��'x�Q4P�>/^F�Q��vg	/�Ix ��:�гÞ��
��4]�'��x�f8I���W6���&�=4�FǢ�(ʴ]�/%FOu�)�x�e�Q�0�����r�
�Ն(���(V��<�����] I��b|�����x-���q�<��#ZC�
+��3���¦�����z�%є�8�)=�q|$�K��/�T�
	�<��
 K}[��f���R0&9A��ew>+3z���U�iR�8w�'Ŷ)�{�0�9��u���Ͷ�������@��:u��֩e�Ų��x�{��q��
̃���.�
�%:3�<5m����(��XR��O�t$( ߼�{�"�j%endstream
+x��YIs�6��W�ЙJ3B�d:=��d���wz�{�%�Q��e�N�|�$AJ�Ӵ�\���~o�/^���QJ
+)G�Q^�F:�I&����%���ϋ�_�c�B�ә
evͻI���	
���L����n?�U�͔�h��H�(��lW���\�p]f2s�h�p�HAn7g��e�
����j2�|�W9?��
��#�pT�G�h&p�Kw����>o�vf�=������t<7��*"�S����h�Ya��;�9eDj��9rmԸ�˨r����-2Q%�2j�{=�
+έ.g�F��(�(Vu@�\b�V�/wvo��'��[��
Y��wx$��~"e`c��poY��sE8��̂�O�aͤcd�g}��SK8����p��:.��ߘ���`%��~�w1�����|´�dvrs�n��Vz�b�9X�(�e�XBE��
W����P���
�z��y��DA�,-U
"�[D�����s�g�y�[��p�����0*���
���
ij�M
+�$<���d<ɇ�
��Z�����V�-�>寗�ݢ���}��+4ȶ���#Ң�����{�
8XJiZi�ku��=�
B`:ٍ��G���$�� y�R��c�������GBZn-
�
���ѣE�iB�|�8q�p��Vn
��j�B%d�2����( �Þ�,��ܴ�B�`�GV�	3�B)��
R��g������RH��- �5T N)J2��B�%�(��Q��:A��
J���,#E�C ?Q������r"x�-��77��$���A!h���^��t�
*�?��+��XAn�`ƃ�����oB�y���l��
���L�:=5���L�g�2��GXe�F�Y��9L����,��ʞPvAb��.�1�!����%v*��ϋ��$��t*J�&�NC}i��m^���`t�6���"4+}��*E�
��[�n�#��B�k�W0)���O���{����M��֏D�X_�(D�pu�Q��6);�4��z�2�>�k�1��(G���������7�����e�R9�-�,�hρ7M2�{�
�O���A5��<��5����cݚw���v
ڱ��bϜq"���{f%E#�p=�BC
+h���O����Ձ�ʅ���uu�z����m�r
�V��^&��)J�r�œ���r�}n�(<��5?��H�u��I�ߧA<�Ⱥ��h����,���:�����9
+T���P�p�
.�16*T��3����4Z�+Ԋ^s�����S<T� !vPN@�&�2[[�T}��y����S��l��
ѿ����>��
BU	L?7��Lt|�⸊`nx��!��Ѯ>q��1ՓF�y+M�V�ʓi�.�l��^E8�
+��6vQ�)��1����&�G&�v��Z�"�j��3�J��K���r��y�z9ٸj�2�ɾ�4TC���:lZ�	�y�
n
h�Lw8������wFC��Y]�2�f}[b��><�7��F�[h�)_�]
,���S9�NÚo��y�
�;�8��Tp�2YP��2eq*R�#�A4������<������4�F��p&=��<�
�
%���8�f���$=/ j!��	36�m=�
4�R��U�#f0+��,���I��� bf��u/�Q^"k2��p����*�
���[$�Fʞ)4bNq�Y��uA�d��Ru�tБ	��t|pL�F���&��uߏ(�}B*2���S
+X�9
��)�:��F�B

T!|���+oI��]�ۆT��B�{����^�م�ƹ}n�e����!� P@ј�x��MMR��:���Ty�Z�B]2R��x�,��
���oN�'���NH�	}qt���
��
JJOo�E-��:���`}�"(m� ��X6.vDf䍝i����U�0�~i�m�
���U_p�;d�t�13md_�G�lV��@2���
���������P������5�a6�3�a�g��`UnV�x{����H�endstream
 endobj
-2649 0 obj <<
+2850 0 obj <<
 /Type /Page
-/Contents 2650 0 R
-/Resources 2648 0 R
+/Contents 2851 0 R
+/Resources 2849 0 R
 /MediaBox [0 0 612 792]
-/Parent 2636 0 R
+/Parent 2842 0 R
 >> endobj
-2651 0 obj <<
-/D [2649 0 R /XYZ 72 720 null]
+2852 0 obj <<
+/D [2850 0 R /XYZ 72 720 null]
 >> endobj
-2648 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F79 926 0 R >>
+2849 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2654 0 obj <<
-/Length 1213      
+2855 0 obj <<
+/Length 1287      
 /Filter /FlateDecode
 >>
 stream
-x�}VKs�6��Whz"g$�  s�
�Mb���Mg�� ���	*A����w�,�j/�b�X�~��BWw���j"DTf��n=Qr��"�SXU�](�6LD0�Ї3X����.������2?�OfRF<����	g�(����)=�}(��+��E_��5*T�t�UAe��:6�j�r`e���0��_.���'�G^/C���?m][���c��/a!��em
kt[�p�[�b���H�4�)�7p4�y��nk�2 E�d�'��6x�CѰ��$)�q���L�J��t�,#�g�!\t��à�}s�"�­���ge�k�����lq�-߀/~��X�2��G�JL��긤2�QQ���3��,��{��,U"��nkkH��8X
Pi7ؕc�;l����D�
�S�YRQ��'�/��m�G��!�L_k�M�D�
A%Ъ�
� [��w��9��*;X�<8�e��}��$�+v��`�L���h$�#�,�fë��/"E�� ڸ�0��0�**
��ȴ���} [...]
-M�T �1R�e�%��
e�*���Q���!���k������

�R7�ž
�7ރ��,S��<>�nXCC���
�{�-�!�fyp�l�[_�l�6�y�����m=6;6��~f�
9%�&�%���Ʃ��7�&��fE��3��iF7�݀mA.
�7M6�횿D���.1�� ��8�V���z���L
��'z}�h�����3�Q,����n׷8�8��{�8C��E�

t�*snjdi��ajP0B���S(��*��\�Ta��Jl\Q�����5B���5���T�����񤥙q�F�=tB�s�L��G\�i�Jwe�ش���n��@u�k޽�lkm["�,�`
b��փ?P��
����=�Y@���3�G�LNh���{�!�"VO�����		��D��7�h��Ǟv at L� ��8G�`{�n�m��Y?:ф�ܹ�N��㸷��%��uwtl�[�
}��9��m�ub@8 ��ź���4���a��˔Wڟ6֝�;3�@�w�`��x㣚L�"� ����8	
A��oȒ�?�_��iP޽Y��������s��Tv����ϯxt|$P�p�>���vo}��b�;oPU��������Ӯ]!��k=2��>Ѡ��G(QQ*x����/n�.�蘯�endstream
+xڍWKs�6��Whz"g$߹٪�<�4��L�
(��8�I���d��/��̴=P�.��o_���ŋW��|�ˢhv��%z���S!P�?���;
<��Nm?�c/��s��{���,
j����T��@�t:C5�y?���Pۣ�SP�Zx����,�@K

;�&\��� �-� �ڲ
hu�H9��+ VL���Zv-ߌs�(~���GE
���%��
���`��ŵ�
;��17�骵Ո*��^Ƅ���Ł���"z0*�����0��A-]��ST���H>m�����<
GTpF��̏�6"@}�RBi�Ȟ�_�^�^9/�>�H��Q��7�}x�9�P[9��~���t�H9��%Wa8���a_��¼U��U�WE��S���KC�<�t?	���
+92[i��Ix��������Y0�����ڜ�&i�,7�
Y��h	LF��Ԝ{9��Oe[#��u� ��F���ܰ�#%Q+��ro��'*�
��|�r
;�Je���c;H!t�@
|�����ë���O<\��?I�xZ��0ԃw�u�[ݧv�r|C�%��/���by��	�n�%I$ߗ{�
B�
�9�'��$8G�O�(�N����XA�
c�o�����:��5-��ƣX�d%�e��搖��qh\DZ@������pu�Ƞ�����b��~�nz.
+_�N�1?���G'�1��7FZ�Q�;7�����
�=j�����ȼ.��W�Vs(Pc�,
��U��<��Seu� q^/y��q ���[zӡ�O�V?��"c1�^|���WN��wǤ1~H�9��4ժ��
�X*�ms������l�=�e��fq�l���u#��Dw�B/�á;���ԙE~V"]��R�mu5Lx�
8i6�a���Qb��&4}/Q�Inݎ��1Ę3p����y�&��1���|�f`I��#�B<�m�@��/qU;�_�������q�
�}��{ދ ��������Z$1D�4�����PIU2�Lǩ��
�E�s
V3���"I��e!��h(�N!4�@'j0�[5F�إ�:nD
�OĐ��t�*�ͩ:S���rt%3���Y��uf����q��7���L}O��,ׂ�+��ʰ�o� $;f/G��-�F
j3X#������!@f7�}�N,��L��+����!5}]��{�;�/�((|cX56�_�K���k�|r��j�=��$.݈�����J���4{=(�/s�eH����$S	�F��0
�P�uE�t�P�����
�@<endstream
 endobj
-2653 0 obj <<
+2854 0 obj <<
 /Type /Page
-/Contents 2654 0 R
-/Resources 2652 0 R
+/Contents 2855 0 R
+/Resources 2853 0 R
 /MediaBox [0 0 612 792]
-/Parent 2636 0 R
-/Annots [ 2657 0 R 2658 0 R ]
+/Parent 2842 0 R
+/Annots [ 2858 0 R 2859 0 R ]
 >> endobj
-2657 0 obj <<
+2858 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [71.004 589.738 188.747 603.686]
+/Rect [71.004 589.749 188.602 603.583]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2658 0 obj <<
+2859 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [195.209 589.738 220.613 603.686]
+/Rect [195.05 589.749 220.426 603.583]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2655 0 obj <<
-/D [2653 0 R /XYZ 72 720 null]
+2856 0 obj <<
+/D [2854 0 R /XYZ 72 720 null]
 >> endobj
-2656 0 obj <<
-/D [2653 0 R /XYZ 72 700.324 null]
+2857 0 obj <<
+/D [2854 0 R /XYZ 72 700.334 null]
 >> endobj
-2652 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
+2853 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2662 0 obj <<
-/Length 1365      
+2863 0 obj <<
+/Length 1322      
 /Filter /FlateDecode
 >>
 stream
-xڭWKo�F��WF$*�|Jd����.�EQ��4=��:b͇åbʇ���7�KK��*@/����y�������b9
�~��˛�2�-��:�:a䆎�%t��|z�
v���d�,`�V�PӢu�n��Q��7�����+�*ףWn
9�X��`����*��zi�;�7E���W�z�R�]�����
Q �3�0���Ì��$x1�NŻ
`�������r�m,,�V�)�x�;u�z���R��+7O�bV
��IR\׏����,������z�2�����0%;n�$s���[��sa�A�3���d�Ox�4�X�������@�i!6t�UZ\E7M1(s�6R]�
ɣ�u�23�t׫�ZY��ޯ��R�Ra�'& K��
el�$v��ij�LU��Ig����*~��6��z�0a��
�-��|OHc�T6[�� s�Q�>i ����t�2�����Zs�_�ʿ���[�~+ղM�����~�q�lwn�ȤZ�~|Uu����F���}2�U8�E��Z�F����S��q�K���vJ�b|,��Q�D�?R�{|�z3��{6mS�� 	*�#l��H� ʝ1��w�Q��o�R^������A�Z�<▜��j�4ق��A��1��i�-������Z2�>/��/��cX��6��e�Sx|���%��l,�;.;�JI�=���,w��D�H_D��RF�հ��y�s��;h�1c�U=�p�<��*��D���(LPj��2���.�h
"z�9V�{��S�zHυ�IPq�
a�����\F���A]�7�Dy����?��&
4�𕉌������T )%�����
)v��8�
�E{�v�E5> K��C�Ė`f��3YH��|�B{�{��2��b�4R�Ld� ��-�zSG�O#��~k�O�
-����B�e�$ǻ�hY[
e��NO�
-�1��/��f1`�
�T76H�A�F�)��Q��Y�
��q㠙��%]�9 ��:&J3,-6�4}�GI�-��D�;G� ��D� ;��9
9xR
�H��3y�۵q���ųJ) �3g�
�}��������|7����M��

.���8�<4<�O�e��V�^��
�Eq�-�j��^���+d
j(~f�>�Q���75���S��S6���h!Q+����5�FY+0�2�������Y�S�p%�R�R��v
 Ki�AO�pe(�Y
/8x��S) ��W;0�fr*_�&��pch֝��gsL�B
��̨�
���d���F
��W�{l|�_���v��E���آ��?F��T?����t�
��Zݞ
�0Oi������b&�
ń����տx���endstream
+x���r�Vt��t���!p�&�4Ng:i�S��4]�V+˪���E���u� 	I���@p�=���\�|��(�Cg���(7�<*�(���w/�c��ƒߩ��͏@cƊf��iR�"�X����gO-=)i�4�W~Pfc�g$l��xO�� �5<��8J�x[?�M�����D[3�W�ga�9<�o�39�Q�Q �&˸ ��o	�d��~Qi�y���Tx#h��&S���S%
Y��������]N��"��_�^��R5�)���l'�ؔ��3rq Q	�84�(~�-�+8H�o
+�ɵ��8������hx���}w����O&C�[�9��yC�j�F�Ϲ�vxw�Xz�|0�(Zu�"ɲ�_9���0i����];��8
�tL~C)��R�LgP���}�!h:^��"N���Y�k®2�J18<�����ۂV�B��,��j�h���[FԎUy�W�,�ې��|&���̟�b6��%`�	ݠ����>�l8v�Kb�6T�9�;^�98.m�P��%%'
����� j�t,2vy�|V�
5x*&�t]�-9�-��8Kȶ�n )�5OMd
�C��A'�	�K����Q'h1�d���J������{C��@/����~��{4mY�5��q����1���T9���K��1H��@:���;n}��t��픨�,Q�����t�k�7G�9�<W��]
6y0rX2(o'6�lZ������	�z�kמ��i.
+�q��WuA�`��1���&HKeʤ/�ajX�b<��Q��I"Du�C(gnLù���s�Z��X�7	<8�چ2<�^I���NC^EE�W&9���R5Z��o| ��5O��	fr�H�z���vc�*0G�ͭ�
b���/}c�b�&�I����
e����
e�{TG��br-
�WQq�鋄�ؒ��W�(j7�˳z@����x�6��U�ݨ��ҭT4x�"?�
����V�Bm^s)^�Gq�U��B*
�Ũ{��
/��
$N�{�)�
�u<��S�}דV���e\��\�����u
��~c[���F��
����
���ޞ���������
��6]���_�*���v������Ndvz�3�����#�@��Y��q!2N��ow�a�Ɍ��
qd5Q�/Ć����f����9�-vݟu&+p�H�f����fB׮
L�����Ģ�I×�� iv�A���=�ka�˗��:�R�wj����랎E/��������y��J�{���O��ؔ
o�]�
�t������c���3L;1D�!���0�{�\)
�3�
���,,ǰ��&4�!�XK���������z�endstream
 endobj
-2661 0 obj <<
+2862 0 obj <<
 /Type /Page
-/Contents 2662 0 R
-/Resources 2660 0 R
+/Contents 2863 0 R
+/Resources 2861 0 R
 /MediaBox [0 0 612 792]
-/Parent 2636 0 R
+/Parent 2842 0 R
 >> endobj
-2663 0 obj <<
-/D [2661 0 R /XYZ 72 720 null]
+2864 0 obj <<
+/D [2862 0 R /XYZ 72 720 null]
 >> endobj
-410 0 obj <<
-/D [2661 0 R /XYZ 72 720 null]
+406 0 obj <<
+/D [2862 0 R /XYZ 72 720 null]
 >> endobj
-2664 0 obj <<
-/D [2661 0 R /XYZ 72 567.812 null]
+2865 0 obj <<
+/D [2862 0 R /XYZ 72 567.865 null]
 >> endobj
-2665 0 obj <<
-/D [2661 0 R /XYZ 72 485.579 null]
+2866 0 obj <<
+/D [2862 0 R /XYZ 72 485.664 null]
 >> endobj
-2666 0 obj <<
-/D [2661 0 R /XYZ 72 490.56 null]
+2867 0 obj <<
+/D [2862 0 R /XYZ 72 490.645 null]
 >> endobj
-2660 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R >>
+2861 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2669 0 obj <<
-/Length 2880      
+2870 0 obj <<
+/Length 1428      
 /Filter /FlateDecode
 >>
 stream
-x��ZKo����W�
(`���ds
d
$@�	�X��
����
G&9��_�zt�1�#��=�"5����z~U=|�껷yq��(��z��*�U!���6���z�^�m�����廷:��ʫ��B��H��f�B�h�^@�$m}��a��r�
-;��ac]��+#��
�n{���}ϳ�������q&���Ǫ�UW��kz�� -�9l�� S�>��
-wϳus�W��k
�ᅬ�����3q$ ��ߢ(��t�.����L`�@
��N�ԩE���[.��ƈR���je
(����-؜H���V�� ��io�WV9T"�Y��
�
�_��а����,�٪
Մ��z���&X�$f���Y�}Bк �l��?҂V.
M\�
-i� ���iac�'�
;���`�D��0�{����w<��,'��,�V�e�i�z=�
��j�H��͑w0
x�w�P�|�mxbG[�L�
��/�0��w�>�hu����W=���
��ww��O�TC
����8�p-8Ɂ��s
<j��`�5�Ѓ��t�O�
-�-�$�
����D�����Р
y���
��ȍ,���	�+�)��r��Eb%
�b��]��*DY�Ҧ����_$�	�t`u�g$��撧"F�G�sI�3�

}n4ɠV�<�;�L�PϤY[��'=�?Б/%Ef�:�,�8:)������[~3�|D���!F��H���4�@L2���;�qTL;,��{a��B�L����k5(����
��>�-ї�%¸o�w�8�`�[!��ЮI�u;I� �%�0�;��D���M������{fuZM
5�� >9Y>�d��������
\��!5�1�\�qIϨ
�=*=��/(�p���,]Q9Ԝ(��ى�Ʃ�Ƃ�ڰ���0Όx����F�
�K��x
-�(��N�B���?�T���v}x;��<���M�jZ���a�@���6g�r.H[
-�D�:%
��s����e���5C'����q��!)���UO٭�Sij�(tYNh
ƇV_�������c�F>�
ài���R�3�2B�—S��l��p>�͊[a���'Xԅ�G����D�Q�A��� s�L'���
N��}"g�G�����+*
���-{�V2���F'8?'�ʋh�=q'��m���-�n�9 ��;�u;$���r� @���]󁅰���*H�@֒P�a��>�(�`��4�J���TZ�1���,�P���4�C@^*��O�*���0X��C�r��\Y,R��k��5�+��
zL��1g�

{Cp������`�A���v�j���p
�G��/2I6�$�;6�Z�&D�r���Z�R4b��3n
0�����3n���1�藚�b��U;���EZe 
���:��'�MD %���RQ \J
-������ �]��5DP�9�s��M۳j㠞�j���e�� ����[
U}B��#Z:*o_�哩3͛��[
E��p)�}Ҧc�ʦ���R�,Ow[wIp�c� ͗~�����w�W���	�G�Po�ԇAœ��P�
[�C��)H ��L�!)
M	��9�DK��&�>`m�ȵ_�M*�'/����k�k}N�#f���%YD�Mx;�b>
�nZ�g���
�'P�l�����	�{p� 
��?q~�\>IJ	
�%�
���4��_i3��
�?å �,�r�H���m� ��
Y�9��=τ��Z|��
��#=��`��R|	�QI���i�vv���V��zjYF�U
-]��y���ߨ���H���x.ՙ%>I���ČU�<1K�n��J~:�-1@�E!~Sb��k&>N]���4
��P$��?�Zh��,F���G�FQL�,B�U�і`�瑄�w�/�w��1ڇ.)�@��o5��Դ6�`+�l�08o�r�w9�+�z�"�
-B3+f��L�W�0U��ա�'��UƬ�D��l(��c���:_2����M+� �!�#�c{�pS&�
�䌋�
%t������I�72���%��Ÿ@�)]�N
�sG�#�Ld8fȃ�����f�s��NT���j�ˌ�

C*C�����E�~H(ߦ`��R
 �C�����c|��nH�O"1l�"{=��V�J_'񘕢$�0����KV_�3l��+���H�|w��8�_ {XѸ^3�3�H�;����~����$�y+4z(��PB���|O:��hCx4��B�/��,�o�j���\�D��J����s����<�Sbi�
-n�e\,�
|��襋,��E��o�r�_��Ix�1�/8��?v�_?�rR��N��%���(�s
 ���#�Wn-B�����|���Ǻ!�(��w
x���a]�{S��_|K���#6�8/3�a Fp

&�?�������oB�P�$��n���� ���
��}C�OM}/�WP1���]���n/��+uX+ʬ;�	�.��b�Y`��k�N��~�m�Y�BPd-��r�dx퀯��!�7�PR�"����@�A���f
�e��SZ�Z�AD����r&
x��c,^�. �jy�� ������jQ67��
-8|s���e"��P��<!�D�����0��۱ob�c}<�$�{�R�Q����-��@�R_Ϯ8�
-]��T�B��-Y��9�I΍/}
-u�T�$T,/:E�?���J�v��|�J����/_N%��`��k�?s����:��-
-I긧[��q�Y!z4�4�Bی�	v��
����A��?C�Q
L`}�+�+	�R}N�AN5^��ۥ6~��t������!��-
0�����@G���e��Zq	 |@տT�鵫
q�!��hl�0�v�� T
Z
!�;���,
D
��>Բ�'��w��
��endstream
+xڝXKo�6��W�(�7��S�6@
Ţ>�h{����m
;��l��w���h'],��pf���7�e��bB)x%�"�V�nQ=T�X�
s"�;�>,X8�~�qQ}�_|XT��&�m&�߭W׌Ɋ1�*U�n*�� ��j����y�l�7����OW׼Mdi�pN�2Ntu�du��׉
Ċ�Q��I���
<CA��D� �p��z�'��[�J�K7{��/;�
��z�P���_
��<�p����qq�:�
�u��z�_�oS�u�u��.(?]��9��-%��ᖿP �F�s
U;9c"��bf��
�T�i"�R�KJQc�v%oi�L�R�e�HH��i�7��N܁z���ܺ�[1�?-ɬύ#n>/��c`���@? R�½���4��0����J1�2�ET~+���
�ec��������.d
n��W��p�-�mr�1��t'�Qs
��o��밼wa�Ձ�m�Ch磊c�#���6~?�4<P�4Pz��`�w���S�4����QXf�;h��Ǡ��D9F��0 |4��_���'����\�s�q�Tֿ��z5�@����__3��_�{��Ϋh^��QD2u�fZ"Z1�
W*z��3 ���n+	���H"�/��)¹��&B:qk�,v EHR|=C3�L�V��|��ӛ����Tΰ�mkb�sG��.�P,jK���
�-,�6��X�O1[���l)Ȕ(7��%�0�@�S7�㽝?'s [...]
+	��z6
�z�mls��i;WH"���?Fc��&9�0�=
H@p20�F	d3��L'B��?�7j��)W[���V�ȼ���7�rAy>�q���p�!u�4��KAȴ|;?
��F�L^DZ������H�i^�
@R������j����|
R�=ιg���X�'
{�} �t�[�q�/�%�q��{(=6�C h�Z��
�$�
5^��z�Y/\�#�Թ�
�_��\��<����<�8��

+s��4�2V�
i(�������j8�e�1c�ߔ2E���X6�q�T��n��q��´���~wp����hK�˜/%����C#����ͩ� ����&6��1x�.c�:�]�[i�b-
)Ҏ\����
�R��-����g�kR
�S:���.;�13�Ȥ(���
��t��2��D��n#Č}�6��p�����
�H�,��i�'�h��\�VB�'��O�h�&6���3�K�t at b�ة_f�0Ծ� ¦Q��4�����˩����el[�#����B�1� ����4MB�{�w�.�9�
+fBHEfb��Z���-~X-� ��sendstream
 endobj
-2668 0 obj <<
+2869 0 obj <<
 /Type /Page
-/Contents 2669 0 R
-/Resources 2667 0 R
+/Contents 2870 0 R
+/Resources 2868 0 R
 /MediaBox [0 0 612 792]
-/Parent 2674 0 R
+/Parent 2842 0 R
 >> endobj
-2670 0 obj <<
-/D [2668 0 R /XYZ 72 720 null]
+2860 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/netls-ExamplesPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2873 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2874 0 R /F2 2875 0 R /F3 2876 0 R >>
+/ExtGState <<
+>>>>
+/Length 2877 0 R
+>>
+stream
+q
+Q q 57.60 273.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 278.40 m
+71.59 278.40 l
+72.24 278.41 l
+72.89 278.41 l
+73.54 278.41 l
+74.19 278.42 l
+74.85 278.42 l
+75.50 278.43 l
+76.15 278.43 l
+76.80 278.44 l
+77.46 278.45 l
+78.11 278.46 l
+78.76 278.47 l
+79.41 278.49 l
+80.07 278.50 l
+80.72 278.52 l
+81.37 278.54 l
+82.02 278.56 l
+82.68 278.58 l
+83.33 278.61 l
+83.98 278.64 l
+84.63 278.68 l
+85.28 278.71 l
+85.94 278.76 l
+86.59 278.80 l
+87.24 278.85 l
+87.89 278.90 l
+88.55 278.96 l
+89.20 279.02 l
+89.85 279.09 l
+90.50 279.16 l
+91.16 279.24 l
+91.81 279.32 l
+92.46 279.41 l
+93.11 279.50 l
+93.76 279.59 l
+94.42 279.69 l
+95.07 279.80 l
+95.72 279.91 l
+96.37 280.03 l
+97.03 280.15 l
+97.68 280.27 l
+98.33 280.40 l
+98.98 280.54 l
+99.64 280.68 l
+100.29 280.82 l
+100.94 280.97 l
+101.59 281.13 l
+102.24 281.28 l
+102.90 281.45 l
+103.55 281.61 l
+104.20 281.79 l
+104.85 281.96 l
+105.51 282.15 l
+106.16 282.33 l
+106.81 282.52 l
+107.46 282.72 l
+108.12 282.92 l
+108.77 283.12 l
+109.42 283.33 l
+110.07 283.54 l
+110.72 283.76 l
+111.38 283.98 l
+112.03 284.21 l
+112.68 284.44 l
+113.33 284.67 l
+113.99 284.91 l
+114.64 285.15 l
+115.29 285.39 l
+115.94 285.64 l
+116.60 285.89 l
+117.25 286.15 l
+117.90 286.40 l
+118.55 286.67 l
+119.20 286.94 l
+119.86 287.21 l
+120.51 287.48 l
+121.16 287.76 l
+121.81 288.05 l
+122.47 288.34 l
+123.12 288.64 l
+123.77 288.94 l
+124.42 289.25 l
+125.08 289.56 l
+125.73 289.88 l
+126.38 290.21 l
+127.03 290.54 l
+127.68 290.88 l
+128.34 291.22 l
+128.99 291.57 l
+129.64 291.93 l
+130.29 292.29 l
+130.95 292.66 l
+131.60 293.03 l
+132.25 293.41 l
+132.90 293.79 l
+133.56 294.17 l
+134.21 294.56 l
+134.86 294.95 l
+135.51 295.35 l
+136.16 295.74 l
+136.82 296.14 l
+137.47 296.55 l
+138.12 296.95 l
+138.77 297.36 l
+139.43 297.77 l
+140.08 298.19 l
+140.73 298.61 l
+141.38 299.03 l
+142.04 299.45 l
+142.69 299.87 l
+143.34 300.30 l
+143.99 300.73 l
+144.65 301.17 l
+145.30 301.61 l
+145.95 302.05 l
+146.60 302.50 l
+147.25 302.95 l
+147.91 303.41 l
+148.56 303.87 l
+149.21 304.34 l
+149.86 304.81 l
+150.52 305.30 l
+151.17 305.79 l
+151.82 306.28 l
+152.47 306.79 l
+153.13 307.31 l
+153.78 307.84 l
+154.43 308.38 l
+155.08 308.94 l
+155.73 309.50 l
+156.39 310.09 l
+157.04 310.69 l
+157.69 311.31 l
+158.34 311.94 l
+159.00 312.59 l
+159.65 313.26 l
+160.30 313.96 l
+160.95 314.67 l
+161.61 315.40 l
+162.26 316.16 l
+162.91 316.94 l
+163.56 317.74 l
+164.21 318.56 l
+164.87 319.41 l
+165.52 320.27 l
+166.17 321.17 l
+166.82 322.09 l
+167.48 323.03 l
+168.13 324.00 l
+168.78 324.99 l
+169.43 326.02 l
+170.09 327.07 l
+170.74 328.16 l
+171.39 329.27 l
+172.04 330.42 l
+172.69 331.60 l
+173.35 332.83 l
+174.00 334.09 l
+174.65 335.40 l
+175.30 336.74 l
+175.96 338.13 l
+176.61 339.57 l
+177.26 341.06 l
+177.91 342.59 l
+178.57 344.17 l
+179.22 345.80 l
+179.87 347.48 l
+180.52 349.22 l
+181.17 350.99 l
+181.83 352.81 l
+182.48 354.66 l
+183.13 356.56 l
+183.78 358.48 l
+184.44 360.43 l
+185.09 362.40 l
+185.74 364.37 l
+186.39 366.36 l
+187.05 368.34 l
+187.70 370.30 l
+188.35 372.25 l
+189.00 374.17 l
+189.65 376.06 l
+190.31 377.90 l
+190.96 379.68 l
+191.61 381.40 l
+192.26 383.06 l
+192.92 384.65 l
+193.57 386.15 l
+194.22 387.56 l
+194.87 388.89 l
+195.53 390.13 l
+196.18 391.27 l
+196.83 392.32 l
+197.48 393.26 l
+198.13 394.10 l
+198.79 394.86 l
+199.44 395.53 l
+200.09 396.11 l
+200.74 396.58 l
+201.40 396.98 l
+202.05 397.31 l
+202.70 397.56 l
+203.35 397.75 l
+204.01 397.87 l
+204.66 397.94 l
+205.31 397.96 l
+205.96 397.94 l
+206.62 397.88 l
+207.27 397.79 l
+207.92 397.67 l
+208.57 397.54 l
+209.22 397.39 l
+209.88 397.24 l
+210.53 397.08 l
+211.18 396.92 l
+211.83 396.77 l
+212.49 396.63 l
+213.14 396.49 l
+213.79 396.38 l
+214.44 396.28 l
+215.10 396.20 l
+215.75 396.15 l
+216.40 396.11 l
+217.05 396.10 l
+217.70 396.12 l
+218.36 396.16 l
+219.01 396.22 l
+219.66 396.30 l
+220.31 396.40 l
+220.97 396.53 l
+221.62 396.67 l
+222.27 396.82 l
+222.92 396.98 l
+223.58 397.15 l
+224.23 397.32 l
+224.88 397.50 l
+225.53 397.66 l
+226.18 397.83 l
+226.84 397.98 l
+227.49 398.11 l
+228.14 398.22 l
+228.79 398.31 l
+229.45 398.37 l
+230.10 398.40 l
+230.75 398.40 l
+231.40 398.35 l
+232.06 398.27 l
+232.71 398.14 l
+233.36 397.97 l
+234.01 397.76 l
+234.66 397.49 l
+235.32 397.17 l
+235.97 396.81 l
+236.62 396.40 l
+237.27 395.94 l
+237.93 395.43 l
+238.58 394.87 l
+239.23 394.26 l
+239.88 393.62 l
+240.54 392.93 l
+241.19 392.20 l
+241.84 391.42 l
+242.49 390.61 l
+243.14 389.76 l
+243.80 388.88 l
+244.45 387.97 l
+245.10 387.03 l
+245.75 386.05 l
+246.41 385.05 l
+247.06 384.03 l
+247.71 382.98 l
+248.36 381.91 l
+249.02 380.81 l
+249.67 379.69 l
+250.32 378.56 l
+250.97 377.40 l
+251.62 376.23 l
+252.28 375.04 l
+252.93 373.83 l
+253.58 372.61 l
+254.23 371.38 l
+254.89 370.13 l
+255.54 368.87 l
+256.19 367.61 l
+256.84 366.33 l
+257.50 365.06 l
+258.15 363.78 l
+258.80 362.50 l
+259.45 361.23 l
+260.10 359.96 l
+260.76 358.70 l
+261.41 357.46 l
+262.06 356.23 l
+262.71 355.02 l
+263.37 353.83 l
+264.02 352.66 l
+264.67 351.52 l
+265.32 350.41 l
+265.98 349.33 l
+266.63 348.29 l
+267.28 347.28 l
+267.93 346.30 l
+268.58 345.37 l
+269.24 344.47 l
+269.89 343.61 l
+270.54 342.78 l
+271.19 341.99 l
+271.85 341.23 l
+272.50 340.51 l
+273.15 339.82 l
+273.80 339.15 l
+274.46 338.51 l
+275.11 337.89 l
+275.76 337.30 l
+276.41 336.72 l
+277.07 336.16 l
+277.72 335.60 l
+278.37 335.06 l
+279.02 334.52 l
+279.67 333.98 l
+280.33 333.44 l
+280.98 332.90 l
+281.63 332.35 l
+282.28 331.80 l
+282.94 331.23 l
+283.59 330.66 l
+284.24 330.07 l
+284.89 329.47 l
+285.55 328.85 l
+286.20 328.22 l
+286.85 327.56 l
+287.50 326.90 l
+288.15 326.21 l
+288.81 325.51 l
+289.46 324.79 l
+290.11 324.06 l
+290.76 323.30 l
+291.42 322.54 l
+292.07 321.75 l
+292.72 320.96 l
+293.37 320.15 l
+294.03 319.32 l
+294.68 318.49 l
+295.33 317.65 l
+295.98 316.80 l
+296.63 315.95 l
+297.29 315.09 l
+297.94 314.23 l
+298.59 313.37 l
+299.24 312.51 l
+299.90 311.65 l
+300.55 310.80 l
+301.20 309.95 l
+301.85 309.12 l
+302.51 308.29 l
+303.16 307.48 l
+303.81 306.68 l
+304.46 305.89 l
+305.11 305.13 l
+305.77 304.37 l
+306.42 303.64 l
+307.07 302.94 l
+307.72 302.25 l
+308.38 301.58 l
+309.03 300.93 l
+309.68 300.31 l
+310.33 299.71 l
+310.99 299.13 l
+311.64 298.58 l
+312.29 298.04 l
+312.94 297.54 l
+313.59 297.05 l
+314.25 296.59 l
+314.90 296.15 l
+315.55 295.73 l
+316.20 295.33 l
+316.86 294.96 l
+317.51 294.60 l
+318.16 294.26 l
+318.81 293.93 l
+319.47 293.63 l
+320.12 293.33 l
+320.77 293.06 l
+321.42 292.79 l
+322.07 292.53 l
+322.73 292.29 l
+323.38 292.05 l
+324.03 291.82 l
+324.68 291.59 l
+325.34 291.37 l
+325.99 291.15 l
+326.64 290.93 l
+327.29 290.71 l
+327.95 290.49 l
+328.60 290.27 l
+329.25 290.05 l
+329.90 289.82 l
+330.55 289.58 l
+331.21 289.34 l
+331.86 289.10 l
+332.51 288.85 l
+333.16 288.60 l
+333.82 288.34 l
+334.47 288.08 l
+335.12 287.82 l
+335.77 287.55 l
+336.43 287.28 l
+337.08 287.00 l
+337.73 286.73 l
+338.38 286.46 l
+339.04 286.18 l
+339.69 285.91 l
+340.34 285.64 l
+340.99 285.38 l
+341.64 285.12 l
+342.30 284.86 l
+342.95 284.61 l
+343.60 284.36 l
+344.25 284.13 l
+344.91 283.89 l
+345.56 283.66 l
+346.21 283.44 l
+346.86 283.23 l
+347.52 283.02 l
+348.17 282.82 l
+348.82 282.62 l
+349.47 282.43 l
+350.12 282.25 l
+350.78 282.07 l
+351.43 281.90 l
+352.08 281.74 l
+352.73 281.58 l
+353.39 281.42 l
+354.04 281.28 l
+354.69 281.13 l
+355.34 280.99 l
+356.00 280.86 l
+356.65 280.73 l
+357.30 280.61 l
+357.95 280.50 l
+358.60 280.39 l
+359.26 280.28 l
+359.91 280.18 l
+360.56 280.09 l
+361.21 280.00 l
+361.87 279.91 l
+362.52 279.84 l
+363.17 279.76 l
+363.82 279.70 l
+364.48 279.63 l
+365.13 279.58 l
+365.78 279.53 l
+366.43 279.48 l
+367.08 279.43 l
+367.74 279.39 l
+368.39 279.36 l
+369.04 279.32 l
+369.69 279.29 l
+370.35 279.26 l
+371.00 279.23 l
+371.65 279.21 l
+372.30 279.19 l
+372.96 279.16 l
+373.61 279.14 l
+374.26 279.12 l
+374.91 279.10 l
+375.56 279.08 l
+376.22 279.05 l
+376.87 279.03 l
+377.52 279.01 l
+378.17 278.99 l
+378.83 278.96 l
+379.48 278.94 l
+380.13 278.91 l
+380.78 278.89 l
+381.44 278.86 l
+382.09 278.84 l
+382.74 278.81 l
+383.39 278.79 l
+384.04 278.76 l
+384.70 278.74 l
+385.35 278.71 l
+386.00 278.69 l
+386.65 278.67 l
+387.31 278.65 l
+387.96 278.62 l
+388.61 278.60 l
+389.26 278.58 l
+389.92 278.57 l
+390.57 278.55 l
+391.22 278.53 l
+391.87 278.52 l
+392.52 278.50 l
+393.18 278.49 l
+393.83 278.48 l
+394.48 278.47 l
+395.13 278.46 l
+395.79 278.45 l
+396.44 278.44 l
+397.09 278.44 l
+397.74 278.43 l
+398.40 278.42 l
+399.05 278.42 l
+399.70 278.42 l
+400.35 278.41 l
+401.01 278.41 l
+401.66 278.41 l
+402.31 278.40 l
+402.96 278.40 l
+403.61 278.40 l
+404.27 278.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+103.14 273.60 m 402.54 273.60 l S
+103.14 273.60 m 103.14 270.00 l S
+153.04 273.60 m 153.04 270.00 l S
+202.94 273.60 m 202.94 270.00 l S
+252.84 273.60 m 252.84 270.00 l S
+302.74 273.60 m 302.74 270.00 l S
+352.64 273.60 m 352.64 270.00 l S
+402.54 273.60 m 402.54 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 89.80 253.44 Tm (9400) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 139.70 253.44 Tm (9450) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 189.60 253.44 Tm (9500) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 239.50 253.44 Tm (9550) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 289.40 253.44 Tm (9600) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 339.29 253.44 Tm (9650) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 389.19 253.44 Tm (9700) Tj
+ET
+57.60 278.39 m 57.60 387.55 l S
+57.60 278.39 m 54.00 278.39 l S
+57.60 305.68 m 54.00 305.68 l S
+57.60 332.97 m 54.00 332.97 l S
+57.60 360.26 m 54.00 360.26 l S
+57.60 387.55 m 54.00 387.55 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 263.38 Tm (0.000) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 317.96 Tm (0.004) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 372.54 Tm (0.008) Tj
+ET
+57.60 273.60 m
+417.60 273.60 l
+417.60 403.20 l
+57.60 403.20 l
+57.60 273.60 l
+S
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 412.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 318.40 Tm (Density) Tj
+ET
+Q q 57.60 273.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.39 m 417.60 278.39 l S
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.40 l
+72.89 62.40 l
+73.54 62.41 l
+74.19 62.41 l
+74.85 62.41 l
+75.50 62.42 l
+76.15 62.42 l
+76.80 62.42 l
+77.46 62.43 l
+78.11 62.44 l
+78.76 62.44 l
+79.41 62.45 l
+80.07 62.46 l
+80.72 62.47 l
+81.37 62.48 l
+82.02 62.49 l
+82.68 62.50 l
+83.33 62.52 l
+83.98 62.53 l
+84.63 62.55 l
+85.28 62.56 l
+85.94 62.58 l
+86.59 62.60 l
+87.24 62.62 l
+87.89 62.65 l
+88.55 62.67 l
+89.20 62.69 l
+89.85 62.72 l
+90.50 62.75 l
+91.16 62.77 l
+91.81 62.80 l
+92.46 62.83 l
+93.11 62.86 l
+93.76 62.89 l
+94.42 62.92 l
+95.07 62.96 l
+95.72 62.99 l
+96.37 63.02 l
+97.03 63.05 l
+97.68 63.08 l
+98.33 63.12 l
+98.98 63.15 l
+99.64 63.19 l
+100.29 63.22 l
+100.94 63.26 l
+101.59 63.29 l
+102.24 63.33 l
+102.90 63.37 l
+103.55 63.41 l
+104.20 63.45 l
+104.85 63.49 l
+105.51 63.53 l
+106.16 63.58 l
+106.81 63.62 l
+107.46 63.67 l
+108.12 63.72 l
+108.77 63.77 l
+109.42 63.83 l
+110.07 63.89 l
+110.72 63.95 l
+111.38 64.01 l
+112.03 64.07 l
+112.68 64.14 l
+113.33 64.21 l
+113.99 64.29 l
+114.64 64.36 l
+115.29 64.44 l
+115.94 64.52 l
+116.60 64.61 l
+117.25 64.69 l
+117.90 64.78 l
+118.55 64.88 l
+119.20 64.97 l
+119.86 65.07 l
+120.51 65.18 l
+121.16 65.28 l
+121.81 65.39 l
+122.47 65.51 l
+123.12 65.63 l
+123.77 65.75 l
+124.42 65.88 l
+125.08 66.01 l
+125.73 66.15 l
+126.38 66.29 l
+127.03 66.44 l
+127.68 66.60 l
+128.34 66.76 l
+128.99 66.93 l
+129.64 67.11 l
+130.29 67.30 l
+130.95 67.49 l
+131.60 67.70 l
+132.25 67.92 l
+132.90 68.15 l
+133.56 68.39 l
+134.21 68.64 l
+134.86 68.90 l
+135.51 69.18 l
+136.16 69.47 l
+136.82 69.78 l
+137.47 70.09 l
+138.12 70.42 l
+138.77 70.76 l
+139.43 71.12 l
+140.08 71.49 l
+140.73 71.87 l
+141.38 72.26 l
+142.04 72.66 l
+142.69 73.08 l
+143.34 73.50 l
+143.99 73.92 l
+144.65 74.36 l
+145.30 74.79 l
+145.95 75.24 l
+146.60 75.68 l
+147.25 76.13 l
+147.91 76.57 l
+148.56 77.02 l
+149.21 77.46 l
+149.86 77.90 l
+150.52 78.34 l
+151.17 78.78 l
+151.82 79.21 l
+152.47 79.63 l
+153.13 80.06 l
+153.78 80.48 l
+154.43 80.89 l
+155.08 81.31 l
+155.73 81.72 l
+156.39 82.13 l
+157.04 82.54 l
+157.69 82.95 l
+158.34 83.36 l
+159.00 83.78 l
+159.65 84.20 l
+160.30 84.62 l
+160.95 85.05 l
+161.61 85.49 l
+162.26 85.93 l
+162.91 86.39 l
+163.56 86.85 l
+164.21 87.32 l
+164.87 87.80 l
+165.52 88.30 l
+166.17 88.80 l
+166.82 89.32 l
+167.48 89.85 l
+168.13 90.39 l
+168.78 90.93 l
+169.43 91.50 l
+170.09 92.07 l
+170.74 92.66 l
+171.39 93.25 l
+172.04 93.86 l
+172.69 94.47 l
+173.35 95.11 l
+174.00 95.75 l
+174.65 96.40 l
+175.30 97.06 l
+175.96 97.74 l
+176.61 98.44 l
+177.26 99.14 l
+177.91 99.87 l
+178.57 100.61 l
+179.22 101.36 l
+179.87 102.14 l
+180.52 102.94 l
+181.17 103.75 l
+181.83 104.59 l
+182.48 105.45 l
+183.13 106.34 l
+183.78 107.25 l
+184.44 108.18 l
+185.09 109.14 l
+185.74 110.12 l
+186.39 111.13 l
+187.05 112.16 l
+187.70 113.22 l
+188.35 114.29 l
+189.00 115.39 l
+189.65 116.50 l
+190.31 117.63 l
+190.96 118.77 l
+191.61 119.92 l
+192.26 121.08 l
+192.92 122.24 l
+193.57 123.40 l
+194.22 124.56 l
+194.87 125.71 l
+195.53 126.86 l
+196.18 127.99 l
+196.83 129.12 l
+197.48 130.22 l
+198.13 131.30 l
+198.79 132.37 l
+199.44 133.41 l
+200.09 134.43 l
+200.74 135.41 l
+201.40 136.38 l
+202.05 137.32 l
+202.70 138.23 l
+203.35 139.11 l
+204.01 139.97 l
+204.66 140.80 l
+205.31 141.60 l
+205.96 142.39 l
+206.62 143.15 l
+207.27 143.89 l
+207.92 144.61 l
+208.57 145.31 l
+209.22 146.00 l
+209.88 146.68 l
+210.53 147.35 l
+211.18 148.01 l
+211.83 148.66 l
+212.49 149.32 l
+213.14 149.97 l
+213.79 150.62 l
+214.44 151.29 l
+215.10 151.96 l
+215.75 152.64 l
+216.40 153.33 l
+217.05 154.03 l
+217.70 154.76 l
+218.36 155.50 l
+219.01 156.27 l
+219.66 157.05 l
+220.31 157.85 l
+220.97 158.68 l
+221.62 159.53 l
+222.27 160.40 l
+222.92 161.30 l
+223.58 162.20 l
+224.23 163.13 l
+224.88 164.07 l
+225.53 165.02 l
+226.18 165.98 l
+226.84 166.94 l
+227.49 167.90 l
+228.14 168.85 l
+228.79 169.79 l
+229.45 170.72 l
+230.10 171.63 l
+230.75 172.52 l
+231.40 173.37 l
+232.06 174.19 l
+232.71 174.98 l
+233.36 175.73 l
+234.01 176.43 l
+234.66 177.09 l
+235.32 177.70 l
+235.97 178.26 l
+236.62 178.78 l
+237.27 179.25 l
+237.93 179.68 l
+238.58 180.05 l
+239.23 180.38 l
+239.88 180.68 l
+240.54 180.94 l
+241.19 181.17 l
+241.84 181.36 l
+242.49 181.53 l
+243.14 181.68 l
+243.80 181.81 l
+244.45 181.92 l
+245.10 182.01 l
+245.75 182.09 l
+246.41 182.16 l
+247.06 182.23 l
+247.71 182.28 l
+248.36 182.33 l
+249.02 182.36 l
+249.67 182.39 l
+250.32 182.40 l
+250.97 182.40 l
+251.62 182.37 l
+252.28 182.33 l
+252.93 182.25 l
+253.58 182.15 l
+254.23 182.01 l
+254.89 181.84 l
+255.54 181.61 l
+256.19 181.34 l
+256.84 181.01 l
+257.50 180.63 l
+258.15 180.20 l
+258.80 179.69 l
+259.45 179.12 l
+260.10 178.48 l
+260.76 177.79 l
+261.41 177.03 l
+262.06 176.19 l
+262.71 175.29 l
+263.37 174.33 l
+264.02 173.31 l
+264.67 172.24 l
+265.32 171.11 l
+265.98 169.93 l
+266.63 168.71 l
+267.28 167.45 l
+267.93 166.15 l
+268.58 164.83 l
+269.24 163.49 l
+269.89 162.12 l
+270.54 160.75 l
+271.19 159.36 l
+271.85 157.98 l
+272.50 156.59 l
+273.15 155.21 l
+273.80 153.85 l
+274.46 152.49 l
+275.11 151.15 l
+275.76 149.83 l
+276.41 148.53 l
+277.07 147.26 l
+277.72 146.00 l
+278.37 144.77 l
+279.02 143.57 l
+279.67 142.40 l
+280.33 141.25 l
+280.98 140.13 l
+281.63 139.03 l
+282.28 137.95 l
+282.94 136.90 l
+283.59 135.87 l
+284.24 134.86 l
+284.89 133.86 l
+285.55 132.88 l
+286.20 131.92 l
+286.85 130.96 l
+287.50 130.02 l
+288.15 129.08 l
+288.81 128.14 l
+289.46 127.21 l
+290.11 126.28 l
+290.76 125.34 l
+291.42 124.41 l
+292.07 123.46 l
+292.72 122.52 l
+293.37 121.56 l
+294.03 120.60 l
+294.68 119.63 l
+295.33 118.66 l
+295.98 117.68 l
+296.63 116.69 l
+297.29 115.71 l
+297.94 114.72 l
+298.59 113.73 l
+299.24 112.75 l
+299.90 111.77 l
+300.55 110.81 l
+301.20 109.85 l
+301.85 108.92 l
+302.51 107.99 l
+303.16 107.10 l
+303.81 106.22 l
+304.46 105.38 l
+305.11 104.56 l
+305.77 103.77 l
+306.42 103.01 l
+307.07 102.29 l
+307.72 101.60 l
+308.38 100.94 l
+309.03 100.32 l
+309.68 99.72 l
+310.33 99.16 l
+310.99 98.63 l
+311.64 98.12 l
+312.29 97.63 l
+312.94 97.17 l
+313.59 96.72 l
+314.25 96.29 l
+314.90 95.86 l
+315.55 95.44 l
+316.20 95.03 l
+316.86 94.62 l
+317.51 94.20 l
+318.16 93.78 l
+318.81 93.35 l
+319.47 92.91 l
+320.12 92.45 l
+320.77 91.98 l
+321.42 91.50 l
+322.07 91.00 l
+322.73 90.48 l
+323.38 89.95 l
+324.03 89.39 l
+324.68 88.82 l
+325.34 88.24 l
+325.99 87.64 l
+326.64 87.02 l
+327.29 86.40 l
+327.95 85.76 l
+328.60 85.11 l
+329.25 84.45 l
+329.90 83.79 l
+330.55 83.13 l
+331.21 82.46 l
+331.86 81.80 l
+332.51 81.13 l
+333.16 80.47 l
+333.82 79.81 l
+334.47 79.17 l
+335.12 78.52 l
+335.77 77.89 l
+336.43 77.27 l
+337.08 76.66 l
+337.73 76.06 l
+338.38 75.48 l
+339.04 74.91 l
+339.69 74.36 l
+340.34 73.82 l
+340.99 73.30 l
+341.64 72.80 l
+342.30 72.32 l
+342.95 71.85 l
+343.60 71.41 l
+344.25 70.98 l
+344.91 70.58 l
+345.56 70.19 l
+346.21 69.82 l
+346.86 69.47 l
+347.52 69.14 l
+348.17 68.84 l
+348.82 68.55 l
+349.47 68.27 l
+350.12 68.01 l
+350.78 67.77 l
+351.43 67.55 l
+352.08 67.34 l
+352.73 67.15 l
+353.39 66.97 l
+354.04 66.80 l
+354.69 66.64 l
+355.34 66.49 l
+356.00 66.35 l
+356.65 66.22 l
+357.30 66.10 l
+357.95 65.98 l
+358.60 65.87 l
+359.26 65.77 l
+359.91 65.67 l
+360.56 65.57 l
+361.21 65.47 l
+361.87 65.38 l
+362.52 65.29 l
+363.17 65.20 l
+363.82 65.11 l
+364.48 65.03 l
+365.13 64.94 l
+365.78 64.86 l
+366.43 64.77 l
+367.08 64.69 l
+367.74 64.61 l
+368.39 64.53 l
+369.04 64.45 l
+369.69 64.37 l
+370.35 64.29 l
+371.00 64.21 l
+371.65 64.14 l
+372.30 64.06 l
+372.96 63.98 l
+373.61 63.91 l
+374.26 63.84 l
+374.91 63.77 l
+375.56 63.70 l
+376.22 63.63 l
+376.87 63.56 l
+377.52 63.49 l
+378.17 63.43 l
+378.83 63.36 l
+379.48 63.30 l
+380.13 63.24 l
+380.78 63.19 l
+381.44 63.13 l
+382.09 63.08 l
+382.74 63.02 l
+383.39 62.98 l
+384.04 62.93 l
+384.70 62.88 l
+385.35 62.84 l
+386.00 62.80 l
+386.65 62.76 l
+387.31 62.73 l
+387.96 62.70 l
+388.61 62.66 l
+389.26 62.64 l
+389.92 62.61 l
+390.57 62.59 l
+391.22 62.56 l
+391.87 62.54 l
+392.52 62.53 l
+393.18 62.51 l
+393.83 62.49 l
+394.48 62.48 l
+395.13 62.47 l
+395.79 62.46 l
+396.44 62.45 l
+397.09 62.44 l
+397.74 62.43 l
+398.40 62.43 l
+399.05 62.42 l
+399.70 62.42 l
+400.35 62.41 l
+401.01 62.41 l
+401.66 62.41 l
+402.31 62.41 l
+402.96 62.40 l
+403.61 62.40 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+90.09 57.60 m 363.17 57.60 l S
+90.09 57.60 m 90.09 54.00 l S
+144.70 57.60 m 144.70 54.00 l S
+199.32 57.60 m 199.32 54.00 l S
+253.94 57.60 m 253.94 54.00 l S
+308.55 57.60 m 308.55 54.00 l S
+363.17 57.60 m 363.17 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 80.08 37.44 Tm (600) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 134.70 37.44 Tm (700) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 189.31 37.44 Tm (800) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 243.93 37.44 Tm (900) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 295.21 37.44 Tm (1000) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 349.82 37.44 Tm (1100) Tj
+ET
+57.60 62.39 m 57.60 181.34 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 86.18 m 54.00 86.18 l S
+57.60 109.97 m 54.00 109.97 l S
+57.60 133.76 m 54.00 133.76 l S
+57.60 157.55 m 54.00 157.55 l S
+57.60 181.34 m 54.00 181.34 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 47.38 Tm (0.000) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 94.96 Tm (0.002) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 142.53 Tm (0.004) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 64.25 196.57 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2873 0 obj
+<<
+/CreationDate (D:20070601024403)
+/ModDate (D:20070601024403)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2874 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2875 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2878 0 R
+>>
+endobj
+2876 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2878 0 R
+>>
+endobj
+2877 0 obj
+19263
+endobj
+2878 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2871 0 obj <<
+/D [2869 0 R /XYZ 72 720 null]
 >> endobj
-2671 0 obj <<
-/D [2668 0 R /XYZ 72 700.324 null]
+2872 0 obj <<
+/D [2869 0 R /XYZ 72 305.491 null]
 >> endobj
-2672 0 obj <<
-/D [2668 0 R /XYZ 72 362.6 null]
+2868 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F69 550 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R >>
+/XObject << /Im23 2860 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-2673 0 obj <<
-/D [2668 0 R /XYZ 72 171.792 null]
+2881 0 obj <<
+/Length 2456      
+/Filter /FlateDecode
+>>
+stream
+x��Z[��~�_�y��û�m���.�"@�tzO
xmy�v<3�<{˟�!yH��g�@
<���s�|<��]=��5�v��J-�v
c�ҋ�B%<��k�
gt��?|���p�R������[v��I��q	�8���SwX���U#]nV���p�n��SU�&�EA�s�j�^n����/�?�e���n���>�n�~��k��8Z�vk��߯=W���mQ-�X4\ٲ�
�u�l��%�ut-�
d� +<վb���D�"�q"y4��D�&Z��<�er��LV��1B�u����q�ڒ� �9�
��Y'���v������7�ns�
<��r����@�v���
q�׸�]�|��kJ8ghӌ��i�4������hx�q��[�ʭ�
�!

�
F�m�lk��˛���=����y@�������c
+
2��nn%��h3[�e�7A� �y�{tc��
��>J�9�I@띄ux��>�����yV7��*(��]�O�巕�����řTl�8��;�mP�FJ�
3I�ԩjE��
p��z���h
1ӭ������z�<n��s���X
��?@���.A�
+��{���bks�@�e�#й/Y=g��bZ�-Ek�D�����]j-��;U�U����
�I«'T��?^Z]�j�b��%"8�W�H҂�f "�m�,�x
�V�R����&D��`��!��gp�UN�
��]Nu���
"��JB�e
���M�
+��š}N��+8B��.VP��S�tr�ޭx�������A�::���:=���N��PB-�5&u7P�������g4�׉�l�2pJ.
�1j�i_Z���y�X
+�������\ n�{�r
�Wv�\��m֢oPY\0��u.�*L��0���
]ͯj�*�8lS�˼���
 :c����P�!�
P�uL"�]�������������-5�MX���p
+�Bp�N��98}U����aQ�1
+F�5U��NY��k!�*���Xnr;F���Sb

+�ϕ��SE
�q�h�̓�Ɋ�S2Ռ�U�����18"�y�)3��j7.s<g�x`� ����R�R3�I�:�Tؤsi,x�J�4>McYZ�c����
�
)�z�0(¿�p�Υ��=|E}?!�Fx� +y*��
��8�~�& �� Q�OD �& R�ݏC�_�CF�j����@���P�ڛ����,�V�������r�S]�t d���z���'� P���� 
��?�X	�qj�
+xb
q`OXg%��<��=��E�]�I�jC����?R���
�x~�����
Y5R������s���:���JRZ�2ҫ��իT+�Q10>��ȲMh���e.?"z��B�2gS�-��>��k��z	�_�ƌ
Ө�
�n3����Z�re|D�x�tH��68�t�*}��7�p�+��������ZR8&���@Ov�v�K�Ƹ�um�5�ٍ�tET��o�|������V��� (
lgu�qS5f7�P^m�o�Cʡ+
���>�h����FrM��eDž��2wڟψ�z7���6�K)�i�N�La(��
�Ci-��
jр����zHӰc��c�B�(�J {r�á똙|�U
�&lƤ5�O�)�a4�i�=��%�"#�A.8o
3
�j�q�8�����JS?xC|V�G�b }Q�|��܁�n8�
���8x=����6�p�x�W:H>l����.>��f4��g� �*��$�i3�/5��g
�Awn?e���ٚiZBr}R�́4���f�G̈́c39���r_ԇN�!Uq���S����O�=E�}S��u��!L������d���h��!�n'Q΢��Ϭ���΅4��6Q��.�eS��l��6��S�7Z�~�t㥯2��؎��t���±΍�.��1�{��C�ߚ_���y��&��@��z���5���Eg���D罳��ϯ��5��9�e[^��n�i/��� I�b�畓_
r��{Οi�1�Hc�f�؅��}�Yn(a�B�k��dS�p~�X� DسVǠ�����+��zWW
+��lZc�骺�����uO���_����9
�۟0�u����
�1��}�>�(8C�
�l~z%?�ƿ�K!��)BN��۰���0,�Ox�c�0<��{
�/��a�ٗ'𻯁x�B�rH^�M����<�S߼�5 �1,�J+|��#�IA�-�!;CXv��S�����?����$����HmX���s�n
+��F�f:B��*���ӷ�p��T���+��R��T|6��S6�5�b(¬��Mu9�`��g��xo�FsWI��L-��ڟe�������7�fʆ���j��%R;h�#����d��O�"H��K�Hjs�����ka���o�?L�((��c���X�
m�ŗ�l���_�?{u������endstream
+endobj
+2880 0 obj <<
+/Type /Page
+/Contents 2881 0 R
+/Resources 2879 0 R
+/MediaBox [0 0 612 792]
+/Parent 2885 0 R
+>> endobj
+2882 0 obj <<
+/D [2880 0 R /XYZ 72 720 null]
+>> endobj
+2883 0 obj <<
+/D [2880 0 R /XYZ 72 584.01 null]
+>> endobj
+2884 0 obj <<
+/D [2880 0 R /XYZ 72 403.495 null]
+>> endobj
+2879 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F114 560 0 R /F126 638 0 R /F75 1442 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2888 0 obj <<
+/Length 1784      
+/Filter /FlateDecode
+>>
+stream
+x��YKo7��W,�
V@�囻rH�H��i�
�8lye��dG;n�|���]S�������r8
�|��p�z2��
c�`�4J��$�R�քJxu���{�i��N9Q��IlƬ��s��S��7�A��
+�WR�r
����Jp]n>�x�ֳrݽ���q�km�K�3??P�n�h�um��۱RQ�
�W�LQ`��u"}�L�;8c�5j�v��OO����?��Gi��
�/*��e]TB�c�GFwE�f��'T��vF��e^��:DsV0C��N�CN
���I�
n�h�$I�
+����X
i����4����D�B%*4���(sBin'
���d��*����Tk��_�u2#�V
+��B���(��ż �0/��h���$B4N�[����U�`��`iUh�����.G�G?��|D�w#�prcJ8�X�tM����
�~��*�U%�^۬�r�6M��$���_eB�8��p\!q����U
v�́c���c��!M؄��UA壔3
I=
�q�2�	�y�E�/���N�Q�=���Ƽ.��x�|�βL�p'��U
+$�����5���B[�l7A8��^��Ɣ,NAJ=���J�A�JԣTš�D|;���D�ϸ�=�%�Q.�$��`�o%TV%�<��6�FSK9�_��AQ�P���dh��u�7��bk�3��D&��1D*���%�	i�u(K�bk�'��װ�iH]'��%KJ
+�T�aC4vk�i3��6eB����
�;����:!�܅�βj�����:��gY�B�N�(��xS�|��ƞ�aXG��:ى��l+���ܹ��-j�·mz9fA�{ik��z�JNq��r�-.g��ݐ,^�3�́p����
f�2Mܷ*�K���戵&,nz��,�쒆�;�a�+j�i����AU��Ɠby�"������ ��R�57��p�Y�m��h8Лq��b9l
2qT�g���=�cQ�PO�=��Ɛo���v�Iq��S#cL
�^7�1W{�{.��c�{����~���C�uI.�B<c��"�
�
��Ç�P���n�!����y��]���đ��?��D���n�OE�ʴ���h�����"]

›���}jX�d��S�����E��g{�f�|%M��x���e袵/
��9�
S�]�[Lr�S*���s�C�d>� �	��Y�j��գ��AZ\�[4��?�  Z*ӎcՅk &h����X��]o
�ld{!�]�Q��	d{��]�Mf+
+��A���$�Fj5�Z�܍���weg��
�0Re�Tm�
7��/7��~�K�$��~6T&ٿo�ύo�TX8��^��^t��j	�
u[0׫X
�'_��J6���
�#�"��M�a,�����Ձ�is�xC���r�
+(�a��y/�:
�yo��s/�#���

�
�Ya�uy„͑��"B���xXވ�}�۝q��k�o]��
�u��q
�K�����*mW+�+�@+����~o�ͽ�X�
�RZN�5���p�j���
�b,�G����O�
��w�).�|��M�u;U�M���y�����5��U�.��Q�
�J�Nj�ڤ-�[���x�	���h㍫M����|��
�ט�f�i��������;��\�/?�c=��:�#/��X`�� ]��-N-��lpT��
Y����f�\+Zo�y����m�NK�t� ?�����5��qr��
��(�H�L�ȅ��{���q�^�BC�״
`8��%,`��5��]��
+
���SR�@endstream
+endobj
+2887 0 obj <<
+/Type /Page
+/Contents 2888 0 R
+/Resources 2886 0 R
+/MediaBox [0 0 612 792]
+/Parent 2885 0 R
+>> endobj
+2889 0 obj <<
+/D [2887 0 R /XYZ 72 720 null]
+>> endobj
+2890 0 obj <<
+/D [2887 0 R /XYZ 72 413.341 null]
 >> endobj
-2667 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R /F32 668 0 R /F48 554 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F35 1440 0 R /F79 926 0 R >>
+2886 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F38 1435 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2677 0 obj <<
-/Length 2538      
+2894 0 obj <<
+/Length 1086      
 /Filter /FlateDecode
 >>
 stream
-x��Y�s���_�f�@Έ����y��&��O�X�����%T$(�,��|v�  
-��CD�����o?�������M�`ޘ��j�<3��rǸ���/�R�ٯ�o�}-�!\Yn&�h^Ϝ����l�d6m����
g�e���LL�%�\}�ßH�3����[��M��\L�-,��2,�Ub[g��ۖ�v?mb;ř�v;,f��
t��g�����=r��E�"����\r�2���bZ�����d�6^�H�
-~V�~K�T�6��ZŜT���Vfz��9��)ڢ

�i�
��E��v���{c���u^<AN;��3�q��[
KI�2���̅cZ�&�
-�ߢI�%Z�w^�Pڤ��ykƲƣ��.Ţ�dڮ��\���$�Ӹ�q-tf
(�5Q�*j)��� �Q��FMr�J�;:bJ�0;�u�<�᦬�‰�j��eϖ�!R�b[����m�*���9W�^��e��7?#�����!�H*(������?MCK
	FE=���	5�̊#j:TIX_W%��؍V�
�a�Dl�q����Y� ![���'%�`F�#b��m@� 
9n
O_�h�r�:
�
�ݪ�W��L��b���
�.�����l����Gh���qx4d�!r�n6�
�H1ż����H
-d����.��r��
�
��b��]�3�
�zQ�v�p��D?6�G�[8��w8+��a�JC�|
��2R焳����
Ա(ë��i��_Dž����©�B3
����`�9�2��
2
vN{��4�zX���
gI��4��K�|����� *�
ei�v�0�(��� �T�'v�
�&G s)��x�~�{��7$%��I�P1b�h��0L$�K4U��<��3��C6�:	
k��Sh��i$Tg�2_���`p�AH(:�%�����d,3r��W�(����2����mSN�i|�����	��z5d3RKd#������a=Ө8�Ѭ�&��@/�5�E$6B7h��P�c�y&3
��qϔ�@=r��y8`c [m�ͣ��I&,l�@�^�c�x�6G԰|
�X���]ǥ: �6�󩪢�G�&o�Ge
Tbբ�jK�}�G�j�u%E]C��ШU����$F�^/
-
-o�U�#��q��,
�}�J��Bs�%���#�DX�M���Rl�����Z����#A����pB��Qpɑ�s�&{�}��>\��}��#�sE��`Y	����7FW/
�=�F3��n)ξ�<�4
a1Q`, 
m�bs���_�dy�'o�89�'��:P���,s�@�
���g�Y�#����+����	Q嬟h͙�,0���FS��=m��$&(G��ƕYsb�EM�~v�$��6.+���ո�
�w�4F�
�*.U����߰����6h�Ś%���.Ʊ��x�P�r7Hk2YlpL�{�����s��Z�_�́�
�0'=`�iQ��>��Q���E�x*���^j&��(tx���>2��Q܏��{<�r
�4��:��E��W�
�ё�v��e�΋�/�R�.*{�hЃE��$�e�� βX>	h96��AT�Y3-���0���"�h@
8(p��1�H53Pg��K���E�Q��A�;�
�y������bQ���3M��4a�A�
�c���բ.��o+c����H��P"e��2v�!�
g����aIwt����
-�R�Ж�
-m���2��R��<�n�w�D%b��~�剉�qA�|�ɆlX���B��"�F��2:A�ì9
W�7"�t���<�9u�O�Æ�IL��k��<��[�������'������!�s���&C#�Z?�P�+���`��Y��KC��カ))pw���g4�&�*ϛ��{EHY�����,�a�.y�@�;h
ոjx���%�JCh��}��j�'h�h�/H
����)�n�@�D5��.B����6N���5,�hHj�5�!aio	
->Z[u�b��
1.�h��DV7�&}#i_=t���4�a�sp7���Y���)ŧ�
�hARf&�ɋ�mC�
Y������v���,Ǒ7��$�j5���m!��'��&<X��

>�"�u"�U]\�u�!�/��m^���h
6
���M�w���p��8W�l}���PP���ː
��ծm;���9�bx��$|�
��-�/��+qI������M H��i�s�Φ
�r��s��L5�a�/,Pb,H؏c6�ё�P��nݖ�
�'ć�H���M�M�EQ���Pe����nѕN�:_��b
-�p�͌�#U<4es�M�r�`+��5�3�▝�\|�����e��wdȈ�uLP����T�Q����k���P_�M�S��„{�3(p�H�o�=+��]��
n����,�.X�n��>7�ͧ��W1��X�
-_'�I"����l�k�v?�Tx׮c� ���
-6���|s�!e��C�I�C�F
��aWTvf��Q����a�}I�xQ�զ[�u`�/RѺ��[����0)���%�+���t������endstream
+xڝWKs�H��W�r��!�
H�搊��J�R��Kv��l%�9A{�oO��d�����|�������󿔊'*
�J&W�I�'i��Q
_�/��a�0�=���z:z��LM�l�F	R�
�;70V4��]�Q�����<��F;�h����{�� ��{{`�o�>G���P܈NQ��J�J����|޳�׸
`x��
+�
+s�QXs�(�v#~��C���ދ�
�[����6L�Y��L���b�󯋭���\%����g?���#�AF��p���wK�|�`9!��O������*�
�.j��:u�6��%�rpF��?� Ƭ����A堏vg��j�c��9����԰,=h0�S�����w,��O�R��8��b���$j�k�x������E^�a
O	G��N�(b���-��_0�g��
�S:3�?Q�jH9�'�r�!@�+�,�͋���V��3�.9��T$��d�:��tomޛ��m! �}@qm	y�]-D�L�w���n
+
�n%�����cl
��B���qOe#�
Zs��%�%�2������{��P}X�B*b%�#�ܳ�O~�ĩ�z�� �^�gC2
k�����3A�8�*�c
'	�����wW��Vz��z��	�nA�#���j����N��hBw�_���t
]ւ��
�_���Sj�Uh�8˽W����\�]���
��8�T
ƚ-5�!�6uGCr۫��l{9��
-��es�
ʄ�U�j��]2bJ��'����LӃ����2[�
nD4��SawƷ�[��v��I[��K{��'Pr�j����趺�IF9�G��ɏ����ӛBǥs~X�>�O�
J"���8s,6�]�{N?����p�@��Gh���&~�u4sʃ�{}pAeG��S��{�Ź��SG�W��k=^�N�-���\:}:��I����V�{��r&޵|0��N�]��G;�7��G��=
����7���k�5+G��ι¬\ق�D
s��;�(�>�f��țL^;�w/Z��T�R0��|Զ�Y?��ׄ�#F�M�aܭ�8�q���<	�)���$ab������ʋQ������|�endstream
 endobj
-2676 0 obj <<
+2893 0 obj <<
 /Type /Page
-/Contents 2677 0 R
-/Resources 2675 0 R
+/Contents 2894 0 R
+/Resources 2892 0 R
 /MediaBox [0 0 612 792]
-/Parent 2674 0 R
+/Parent 2885 0 R
 >> endobj
-2678 0 obj <<
-/D [2676 0 R /XYZ 72 720 null]
+2895 0 obj <<
+/D [2893 0 R /XYZ 72 720 null]
 >> endobj
-2679 0 obj <<
-/D [2676 0 R /XYZ 72 204.828 null]
+410 0 obj <<
+/D [2893 0 R /XYZ 72 720 null]
 >> endobj
-2675 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F54 1447 0 R /F32 668 0 R /F79 926 0 R >>
+2896 0 obj <<
+/D [2893 0 R /XYZ 72 567.865 null]
+>> endobj
+2897 0 obj <<
+/D [2893 0 R /XYZ 72 485.664 null]
+>> endobj
+2898 0 obj <<
+/D [2893 0 R /XYZ 72 490.645 null]
+>> endobj
+2892 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2682 0 obj <<
-/Length 1262      
+2902 0 obj <<
+/Length 636       
 /Filter /FlateDecode
 >>
 stream
-xڵWKs�D��W�r��H��Ò)��V��.,��4���a��F΁�N?F��8\�y��t�u����Ň�e���dq�^��"
2?�aV�����������ip$���8
��
-�L	�f�q���?K��������2n:��iZ8��zI(�����7��_�����nj��ys��ǁs�x�C;
_��_��
��H8[<b�S�g���(s~AE
�ԣ��
���OҠ���ڹ
��P5�^��]Ŏ$I6#�Y ���B+\.�'��g��¥f
��:� �p
3�-L�\
��A�r^����Vu<i���j^��,��rk�P� ��$��N����W7�II��!ŋf+	2��bA���s�k�
�� &"�c�8Ж8�ܫ/K�
���u���/W��� ����$�����g��!ks"He㕣k����,%���d���Dm��	���K�����­�MxZH�<@��\[�k�I�t
-ݪܠ�
� rr����OI3� �D�)���`	p�SN
K��/@J<���cZ�
Ͼ#�a�8Oh?�P���e��^��7v^�B}f|�
���Y�t	F��@��p��t
xO��
x֓�%O�(Tޣ���SB�7Uv��ԕ���=�d1�g��ϯ{!�1]~��jG�.���(Hg�nx1d�'���җ3�X�"��*��͕�|�*�,�{f��P'ѳ]i������*A5�3�jcw1/p0��,y��Sj�
�[j����]�ъL/�Vˊ`Mɇ�
��	��О!8�s�W��[��M�{�̍<�%�
�J�LͲ��Hg5�u����y��:��$�f��6e�a��61Ǯj.-���;&��HÝ�˓Y6a�TD��;
���h}V��z���AwJ�B�~Wr+�v�珻��"�imj=d־4'���w0��\��dhN���q�x�D���3����?�{���'��fk�mӨ�=r����"�%�]9�.�!��{2Z���d�����K��u�	w��Sn�
I�fH���N^��.O"�ou�Y̯��@D�\�
u���\�U�U�1�|�T� ��^-�k�MzQ5��t����%���K�9zS�
U�.�
*�4�����nHȚ��(Ќ
@��1a�A�N�n�>9F�}S�RYC��_���z��*���<��,���Xkv{V��VS'��%�91`�
�s�I�su��u$^�Zs��y�/�
�i�J�'˅����@j��7w���o�endstream
+x��UM��0��W��!�I$�v+�mEo
�~�tEJڤ�¯�3v'M$N����Ǜ7�ㄑ��aB�Tp"RIeN���
IBs�2�!��x�s��0{��)�����<tθō{�w�`6�a�R�Ŗ�
+��`����1�
i�y~4�'�����fS��4��
���ł�p�L�Y�����S„����n�ϋ����!ZДgX��9u%�+��v 
,�W���(
+��Xe�����1F=�^!�dֻ�b�B}U��BmJ N��h����T��uD �z�z@NB:;?c11��4M�6D
XK�h�[
�VV�'���������A��̲3��1{��y���Ɲ&V�'l�U�jK�G$%��G�U���u���e/���ZŮ��g
eFo�N�3��)�O70gs�2蓮<�����6�%����Q��5
1nl�jp�����%W�0�_ٌ�ˀ�.���0�}
]r;�C�km=�u7F
����
��]
8^K���_��Հh�mG�=��F��
��V���x�	���o�z=�̈́<|R��]�g]/Z�7�
f!�L(=e���q�{���gOw��!��Td�|�h��
l�if���R$N3Z��c{H��E����endstream
 endobj
-2681 0 obj <<
+2901 0 obj <<
 /Type /Page
-/Contents 2682 0 R
-/Resources 2680 0 R
+/Contents 2902 0 R
+/Resources 2900 0 R
 /MediaBox [0 0 612 792]
-/Parent 2674 0 R
->> endobj
-2683 0 obj <<
-/D [2681 0 R /XYZ 72 720 null]
->> endobj
-414 0 obj <<
-/D [2681 0 R /XYZ 72 720 null]
->> endobj
-2684 0 obj <<
-/D [2681 0 R /XYZ 72 567.812 null]
->> endobj
-2685 0 obj <<
-/D [2681 0 R /XYZ 72 485.579 null]
+/Parent 2885 0 R
 >> endobj
-2686 0 obj <<
-/D [2681 0 R /XYZ 72 490.56 null]
+2891 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/netlogit-BasicExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2905 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2906 0 R /F2 2907 0 R /F3 2908 0 R >>
+/ExtGState <<
+>>>>
+/Length 2909 0 R
+>>
+stream
+q
+Q q 0.00 216.00 432.00 216.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.40 258.84 54.55 re B
+57.60 343.85 101.16 54.55 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 301.36 Tm (Y = 0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 366.82 Tm (Y = 1) Tj
+ET
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 167.43 412.57 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.93 233.28 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 273.60 m 417.60 273.60 l S
+57.60 273.60 m 57.60 270.00 l S
+129.60 273.60 m 129.60 270.00 l S
+201.60 273.60 m 201.60 270.00 l S
+273.60 273.60 m 273.60 270.00 l S
+345.60 273.60 m 345.60 270.00 l S
+417.60 273.60 m 417.60 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 54.26 253.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 122.93 253.44 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 194.93 253.44 Tm (40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 266.93 253.44 Tm (60) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 338.93 253.44 Tm (80) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 407.59 253.44 Tm (100) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.40 l
+72.89 62.40 l
+73.54 62.41 l
+74.19 62.41 l
+74.85 62.41 l
+75.50 62.42 l
+76.15 62.42 l
+76.80 62.42 l
+77.46 62.43 l
+78.11 62.43 l
+78.76 62.44 l
+79.41 62.45 l
+80.07 62.46 l
+80.72 62.47 l
+81.37 62.48 l
+82.02 62.49 l
+82.68 62.50 l
+83.33 62.51 l
+83.98 62.53 l
+84.63 62.54 l
+85.28 62.56 l
+85.94 62.58 l
+86.59 62.60 l
+87.24 62.62 l
+87.89 62.65 l
+88.55 62.67 l
+89.20 62.70 l
+89.85 62.73 l
+90.50 62.76 l
+91.16 62.79 l
+91.81 62.82 l
+92.46 62.86 l
+93.11 62.90 l
+93.76 62.94 l
+94.42 62.98 l
+95.07 63.03 l
+95.72 63.07 l
+96.37 63.12 l
+97.03 63.18 l
+97.68 63.24 l
+98.33 63.30 l
+98.98 63.36 l
+99.64 63.43 l
+100.29 63.51 l
+100.94 63.59 l
+101.59 63.67 l
+102.24 63.76 l
+102.90 63.86 l
+103.55 63.97 l
+104.20 64.08 l
+104.85 64.20 l
+105.51 64.34 l
+106.16 64.48 l
+106.81 64.62 l
+107.46 64.78 l
+108.12 64.95 l
+108.77 65.13 l
+109.42 65.32 l
+110.07 65.53 l
+110.72 65.74 l
+111.38 65.96 l
+112.03 66.19 l
+112.68 66.43 l
+113.33 66.68 l
+113.99 66.94 l
+114.64 67.21 l
+115.29 67.49 l
+115.94 67.77 l
+116.60 68.07 l
+117.25 68.36 l
+117.90 68.66 l
+118.55 68.97 l
+119.20 69.28 l
+119.86 69.60 l
+120.51 69.91 l
+121.16 70.23 l
+121.81 70.55 l
+122.47 70.87 l
+123.12 71.19 l
+123.77 71.51 l
+124.42 71.83 l
+125.08 72.16 l
+125.73 72.48 l
+126.38 72.80 l
+127.03 73.12 l
+127.68 73.45 l
+128.34 73.77 l
+128.99 74.10 l
+129.64 74.43 l
+130.29 74.76 l
+130.95 75.10 l
+131.60 75.44 l
+132.25 75.79 l
+132.90 76.14 l
+133.56 76.49 l
+134.21 76.85 l
+134.86 77.22 l
+135.51 77.60 l
+136.16 77.98 l
+136.82 78.37 l
+137.47 78.77 l
+138.12 79.17 l
+138.77 79.58 l
+139.43 80.00 l
+140.08 80.42 l
+140.73 80.85 l
+141.38 81.28 l
+142.04 81.73 l
+142.69 82.17 l
+143.34 82.62 l
+143.99 83.08 l
+144.65 83.54 l
+145.30 84.00 l
+145.95 84.47 l
+146.60 84.95 l
+147.25 85.43 l
+147.91 85.92 l
+148.56 86.41 l
+149.21 86.91 l
+149.86 87.42 l
+150.52 87.94 l
+151.17 88.46 l
+151.82 89.00 l
+152.47 89.56 l
+153.13 90.12 l
+153.78 90.70 l
+154.43 91.30 l
+155.08 91.92 l
+155.73 92.56 l
+156.39 93.23 l
+157.04 93.91 l
+157.69 94.62 l
+158.34 95.36 l
+159.00 96.13 l
+159.65 96.93 l
+160.30 97.76 l
+160.95 98.62 l
+161.61 99.52 l
+162.26 100.45 l
+162.91 101.42 l
+163.56 102.42 l
+164.21 103.46 l
+164.87 104.54 l
+165.52 105.66 l
+166.17 106.81 l
+166.82 108.00 l
+167.48 109.23 l
+168.13 110.49 l
+168.78 111.80 l
+169.43 113.14 l
+170.09 114.52 l
+170.74 115.92 l
+171.39 117.37 l
+172.04 118.85 l
+172.69 120.36 l
+173.35 121.89 l
+174.00 123.45 l
+174.65 125.04 l
+175.30 126.66 l
+175.96 128.29 l
+176.61 129.95 l
+177.26 131.61 l
+177.91 133.29 l
+178.57 134.98 l
+179.22 136.68 l
+179.87 138.37 l
+180.52 140.07 l
+181.17 141.76 l
+181.83 143.45 l
+182.48 145.12 l
+183.13 146.78 l
+183.78 148.42 l
+184.44 150.04 l
+185.09 151.64 l
+185.74 153.20 l
+186.39 154.74 l
+187.05 156.25 l
+187.70 157.72 l
+188.35 159.15 l
+189.00 160.54 l
+189.65 161.90 l
+190.31 163.21 l
+190.96 164.48 l
+191.61 165.70 l
+192.26 166.88 l
+192.92 168.01 l
+193.57 169.10 l
+194.22 170.15 l
+194.87 171.14 l
+195.53 172.09 l
+196.18 173.00 l
+196.83 173.87 l
+197.48 174.69 l
+198.13 175.46 l
+198.79 176.19 l
+199.44 176.88 l
+200.09 177.52 l
+200.74 178.13 l
+201.40 178.69 l
+202.05 179.21 l
+202.70 179.68 l
+203.35 180.12 l
+204.01 180.52 l
+204.66 180.88 l
+205.31 181.20 l
+205.96 181.47 l
+206.62 181.72 l
+207.27 181.92 l
+207.92 182.09 l
+208.57 182.22 l
+209.22 182.31 l
+209.88 182.37 l
+210.53 182.40 l
+211.18 182.39 l
+211.83 182.35 l
+212.49 182.28 l
+213.14 182.19 l
+213.79 182.06 l
+214.44 181.91 l
+215.10 181.73 l
+215.75 181.53 l
+216.40 181.31 l
+217.05 181.07 l
+217.70 180.81 l
+218.36 180.52 l
+219.01 180.23 l
+219.66 179.92 l
+220.31 179.60 l
+220.97 179.26 l
+221.62 178.92 l
+222.27 178.56 l
+222.92 178.20 l
+223.58 177.83 l
+224.23 177.46 l
+224.88 177.09 l
+225.53 176.71 l
+226.18 176.33 l
+226.84 175.95 l
+227.49 175.57 l
+228.14 175.20 l
+228.79 174.82 l
+229.45 174.45 l
+230.10 174.09 l
+230.75 173.72 l
+231.40 173.37 l
+232.06 173.02 l
+232.71 172.68 l
+233.36 172.34 l
+234.01 172.01 l
+234.66 171.69 l
+235.32 171.37 l
+235.97 171.06 l
+236.62 170.76 l
+237.27 170.45 l
+237.93 170.16 l
+238.58 169.87 l
+239.23 169.58 l
+239.88 169.29 l
+240.54 169.00 l
+241.19 168.71 l
+241.84 168.41 l
+242.49 168.11 l
+243.14 167.81 l
+243.80 167.49 l
+244.45 167.17 l
+245.10 166.83 l
+245.75 166.48 l
+246.41 166.12 l
+247.06 165.75 l
+247.71 165.35 l
+248.36 164.94 l
+249.02 164.51 l
+249.67 164.06 l
+250.32 163.59 l
+250.97 163.11 l
+251.62 162.60 l
+252.28 162.07 l
+252.93 161.52 l
+253.58 160.95 l
+254.23 160.36 l
+254.89 159.75 l
+255.54 159.12 l
+256.19 158.47 l
+256.84 157.80 l
+257.50 157.11 l
+258.15 156.40 l
+258.80 155.68 l
+259.45 154.93 l
+260.10 154.16 l
+260.76 153.38 l
+261.41 152.57 l
+262.06 151.74 l
+262.71 150.90 l
+263.37 150.03 l
+264.02 149.15 l
+264.67 148.25 l
+265.32 147.33 l
+265.98 146.39 l
+266.63 145.44 l
+267.28 144.47 l
+267.93 143.49 l
+268.58 142.49 l
+269.24 141.49 l
+269.89 140.47 l
+270.54 139.45 l
+271.19 138.43 l
+271.85 137.40 l
+272.50 136.37 l
+273.15 135.34 l
+273.80 134.32 l
+274.46 133.30 l
+275.11 132.29 l
+275.76 131.29 l
+276.41 130.30 l
+277.07 129.32 l
+277.72 128.35 l
+278.37 127.40 l
+279.02 126.46 l
+279.67 125.53 l
+280.33 124.61 l
+280.98 123.71 l
+281.63 122.83 l
+282.28 121.95 l
+282.94 121.08 l
+283.59 120.22 l
+284.24 119.37 l
+284.89 118.53 l
+285.55 117.69 l
+286.20 116.86 l
+286.85 116.02 l
+287.50 115.19 l
+288.15 114.35 l
+288.81 113.51 l
+289.46 112.67 l
+290.11 111.81 l
+290.76 110.96 l
+291.42 110.09 l
+292.07 109.21 l
+292.72 108.32 l
+293.37 107.43 l
+294.03 106.52 l
+294.68 105.60 l
+295.33 104.66 l
+295.98 103.72 l
+296.63 102.77 l
+297.29 101.80 l
+297.94 100.83 l
+298.59 99.85 l
+299.24 98.87 l
+299.90 97.87 l
+300.55 96.88 l
+301.20 95.88 l
+301.85 94.89 l
+302.51 93.89 l
+303.16 92.90 l
+303.81 91.92 l
+304.46 90.95 l
+305.11 89.99 l
+305.77 89.04 l
+306.42 88.12 l
+307.07 87.21 l
+307.72 86.32 l
+308.38 85.46 l
+309.03 84.63 l
+309.68 83.82 l
+310.33 83.04 l
+310.99 82.30 l
+311.64 81.60 l
+312.29 80.93 l
+312.94 80.30 l
+313.59 79.70 l
+314.25 79.14 l
+314.90 78.63 l
+315.55 78.15 l
+316.20 77.71 l
+316.86 77.30 l
+317.51 76.93 l
+318.16 76.60 l
+318.81 76.30 l
+319.47 76.03 l
+320.12 75.79 l
+320.77 75.57 l
+321.42 75.38 l
+322.07 75.21 l
+322.73 75.05 l
+323.38 74.91 l
+324.03 74.78 l
+324.68 74.67 l
+325.34 74.56 l
+325.99 74.46 l
+326.64 74.35 l
+327.29 74.25 l
+327.95 74.15 l
+328.60 74.04 l
+329.25 73.93 l
+329.90 73.81 l
+330.55 73.68 l
+331.21 73.55 l
+331.86 73.40 l
+332.51 73.25 l
+333.16 73.08 l
+333.82 72.91 l
+334.47 72.73 l
+335.12 72.53 l
+335.77 72.33 l
+336.43 72.12 l
+337.08 71.91 l
+337.73 71.68 l
+338.38 71.46 l
+339.04 71.22 l
+339.69 70.99 l
+340.34 70.75 l
+340.99 70.51 l
+341.64 70.27 l
+342.30 70.03 l
+342.95 69.79 l
+343.60 69.55 l
+344.25 69.32 l
+344.91 69.09 l
+345.56 68.87 l
+346.21 68.65 l
+346.86 68.44 l
+347.52 68.23 l
+348.17 68.04 l
+348.82 67.85 l
+349.47 67.68 l
+350.12 67.51 l
+350.78 67.35 l
+351.43 67.20 l
+352.08 67.07 l
+352.73 66.94 l
+353.39 66.82 l
+354.04 66.71 l
+354.69 66.62 l
+355.34 66.53 l
+356.00 66.46 l
+356.65 66.39 l
+357.30 66.33 l
+357.95 66.28 l
+358.60 66.24 l
+359.26 66.20 l
+359.91 66.17 l
+360.56 66.15 l
+361.21 66.12 l
+361.87 66.11 l
+362.52 66.09 l
+363.17 66.07 l
+363.82 66.06 l
+364.48 66.04 l
+365.13 66.02 l
+365.78 66.00 l
+366.43 65.98 l
+367.08 65.95 l
+367.74 65.92 l
+368.39 65.87 l
+369.04 65.83 l
+369.69 65.78 l
+370.35 65.72 l
+371.00 65.65 l
+371.65 65.58 l
+372.30 65.50 l
+372.96 65.41 l
+373.61 65.32 l
+374.26 65.22 l
+374.91 65.12 l
+375.56 65.01 l
+376.22 64.90 l
+376.87 64.78 l
+377.52 64.67 l
+378.17 64.55 l
+378.83 64.43 l
+379.48 64.31 l
+380.13 64.19 l
+380.78 64.07 l
+381.44 63.96 l
+382.09 63.84 l
+382.74 63.74 l
+383.39 63.63 l
+384.04 63.53 l
+384.70 63.43 l
+385.35 63.34 l
+386.00 63.25 l
+386.65 63.17 l
+387.31 63.09 l
+387.96 63.02 l
+388.61 62.96 l
+389.26 62.89 l
+389.92 62.84 l
+390.57 62.79 l
+391.22 62.74 l
+391.87 62.70 l
+392.52 62.66 l
+393.18 62.62 l
+393.83 62.59 l
+394.48 62.57 l
+395.13 62.54 l
+395.79 62.52 l
+396.44 62.50 l
+397.09 62.49 l
+397.74 62.47 l
+398.40 62.46 l
+399.05 62.45 l
+399.70 62.44 l
+400.35 62.43 l
+401.01 62.43 l
+401.66 62.42 l
+402.31 62.42 l
+402.96 62.41 l
+403.61 62.41 l
+404.27 62.41 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+90.64 57.60 m 352.73 57.60 l S
+90.64 57.60 m 90.64 54.00 l S
+156.16 57.60 m 156.16 54.00 l S
+221.69 57.60 m 221.69 54.00 l S
+287.21 57.60 m 287.21 54.00 l S
+352.73 57.60 m 352.73 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 78.96 37.44 Tm (0.20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 144.49 37.44 Tm (0.25) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 210.01 37.44 Tm (0.30) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 275.53 37.44 Tm (0.35) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 341.06 37.44 Tm (0.40) Tj
+ET
+57.60 62.39 m 57.60 168.31 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 83.58 m 54.00 83.58 l S
+57.60 104.76 m 54.00 104.76 l S
+57.60 125.94 m 54.00 125.94 l S
+57.60 147.13 m 54.00 147.13 l S
+57.60 168.31 m 54.00 168.31 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 59.06 Tm (0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 80.24 Tm (2) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 101.42 Tm (4) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 122.61 Tm (6) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 143.79 Tm (8) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 161.64 Tm (10) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 196.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2905 0 obj
+<<
+/CreationDate (D:20070601024247)
+/ModDate (D:20070601024247)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2906 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2907 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2910 0 R
+>>
+endobj
+2908 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2910 0 R
+>>
+endobj
+2909 0 obj
+10722
+endobj
+2910 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2903 0 obj <<
+/D [2901 0 R /XYZ 72 720 null]
 >> endobj
-2687 0 obj <<
-/D [2681 0 R /XYZ 72 177.9 null]
+2904 0 obj <<
+/D [2901 0 R /XYZ 72 332.629 null]
 >> endobj
-2680 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R >>
+2900 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im24 2891 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2690 0 obj <<
-/Length 2567      
+2913 0 obj <<
+/Length 1573      
 /Filter /FlateDecode
 >>
 stream
-x��YIo����W��i��^�$�C�@$��C�s�%�fZ[�T{��yKEZe[�� 9�,V=�z�������w��(%J�&W%���M�,��0��u��˙Svz'.���'��m�ﶂ��
���H�;��[^��z����8��x�+�
���v5<�U�j`P��v����ؿ�ó¥��i�����
o"aFx8����?N�d���֟�p����)����W-�
<BW
6��!�|�
��F�^5x�
-��

O�&��o��\8����(�v,�
�jY��Hs(�&J� >"{��ݍ�� ��(��Fx�X�^
-��l��>b�
���d##{��.]~x���>�0��.ɶgF
J����rf@
՚������B$�xS1��a�N* E�-Y
-�u�8u���B���ׁ��o@��Y5�]�iyjί5��n�z�Mu�Tm[����+
�i��\����p��.��.�0��"}�Ȭ��e" ՛�A.�+�tAe6&0zH`�*m$�,��1�B;;f2� /�9�<
l2�ƈ�#�k�= �Pt���������gw���������$h���SP8eǔ=�*��js8�B��O
f�|$`�&���m�����04�M��嗏�
�"�9c�C6�G�-�Zt�{��- ��)2��
-��)¾�嶛o���K� �h�����D���պ�D��nk�W�1��#�ݾ�9�&����A�
��̄�d%
�
FO���h��1q�v�yS� �-]��=�M5';5k
��9/+��}��:��#��
��Al1	\��Hۉ�D�3~X�ΎD_�c_
>���(X� gs��1�G��8rB�5i�
YZ&F�z��paI�
l�`M�@�dS
-rz{j&7��u �
�X y�ߏ���h�)���	����۪�mxԥ
Fn_HQ�g70"h}ψe
��Z!��&�9�1�\
F�&�4�A�����
-
�d��m�i����c��1���Fy
��M��RO?\��bTX#̏bչ}0'�gs�^���"���K���r����H�J��
r�}d����Rs"���)�ʡ���Dw"�z+�I
�z�A Q�
H|`�=���\�z�.����x����6m�
Dj�حryXJ^pfPE8n�
�N	)_�VySPQ<

I���H��1ȑS,y�L$4Q.<��Ǡ�c����n1�K?��v�"gQH���XP��v�x��J�|�)���1�v=��[&oSL��F�d�q�	��j��;

�j)HX�
X�P�V].�L��v��A_z��:�$����b��Q�-�W�6���%C�D��=*־]:L����uE��FYeɄ�@[�3C��u&��#�x�a֋�-kڡ��Q����	��ڪa�R�;E���<dE���A�4 ��:I�[F#
��!��n�o¯f�����S$���S1lǠ 2���Vr;�Y+�sЯL"�0?�äO�-��7�h���3�͞^�j�e��T
�
-��ޚ��?�=c�Z8�G�\9�uv��S��30����'��>
�'m��nw������TJ��Z%��O�s vxI>C-�濙}�F��֨
ު�

7R#
���0�ʰ�
�B���w�~�j��
L��c���'H4̕`���U�
 熢�̰ ��
-I�'�S


Jz��#U^�G{�jEf3.�^@��g lG �2-���
�����/GyG���?2�3
�
-��,�r��1�UM��ǫ �4����Զ
i�a��'W{��@@[���^�5]�eC*^���)1���*HV���^hmό���{]̂3��/�1ts��,&6@{��/e10�>^`}&'
-4i�E91� �ד����ů����BN~��v�p
ch�M9�\0<o���○�{^��l6��
��G��[�@��o���/����G�E
={��<9J��Dr��e
��ٸ�l�����Rd�# �@`�����"�e��<��F����U�n�q�Vq0���A�<&xQ��_�]��)JA�їZ\vU�x5�芯�^��
^�=W
�;
�l�~��}B�Ј9l�π��
�ј�J��E��q�
��]�4(A04��)���|{i������26������I�Z�����_q��y�Ɗ�5K]G���
}#��=n���H���.��$1O���&��
�)
o�k���;���fF7����D���n.
a#�c.*^��f�4�E[t�p�=����3��1���IwDɺ�F���C#�w����ԍ�z�-_�i��Db�ˤ���E4;�]˗�ح�k{�FrX���\�tɖa�3�7ղ&��4V�	��=x�����^�d}���Ď�
�Vఈ�m.'+
�	0&���=�Xwg�$,+��7F��E��אm��Z��/
:�+[@0*~_�����NK�~K)V��%�>�DPD�PJ0�bT"\�|�e_bКcԽm�֟I��Tz�|��̓̓�
@wc];�]C����|�K��M}u�>
�̰�%άe���
��di�J%�endstream
+xڕXKo7��W�qdir�\�m�-��>4�{��u�ƖKi�����"%�څ!��
��'W4
�D#�dJB#�f�5�Nj�sÙ3�
+O��q��'�˟
A7?l/�_4���.�펌�^]\�B5B�^��ꮱ(Xփj�V��n���jxX�u���;�3Z�t Lh�I���
� �сb���6�H��=�o����[�w�2�dZ�x�����+b������	_�;Z垶M{�N��q�
dtj����:�o�qZ�J:l�����2
 �7�§(�[����e��hۇ��35�AqV#kO����,��R �9�d �לC�	0p�dRj���+�V6��@���SL)��=���a� �&l�[L�q�ͯ
�mr称�
{F� n�v���bt�|���þ�#��}4����Ĉ=[tZ��
+����f#�A9�� ;XǔI���*��9/S�=#7-=�E�
_Bl�!�ƥϗtd�O~�����g����d�16�����E
�!�@�!Mv����2�&_����� �6#�wXy4y�D�������G�a�B�	�!<�h�������^�s��1wγ,gfL�Zq��k���[af�EQL�`ձ1@��bR:O��ami�U�L'`֙(JL 䱈���Ԫ
���c��,��2iU���UpA٭�I�NM:/wQ
+\+ۯ�cR�����1lS�I�B"
+�
�
b,��x�T��q$�wO����D^Y
��l˒̚~�Ix)�~�����
+�e���a)%�����v��Q[V."J%�[nc�,�J��4��-2
��b�0��^�ԯ��
To�w
	nb?|���t�^��h�do�$coV)CSo@�7A���G��l(8
.��ܦ�rQ�+�X��}R��RBݴ�bq
+5���\�hV�d�wg
��q��
s��7�0Āc��u"�Zv z��BE0�4hQ��)��*�/�Õ{}���e�؋�^
���
D=��5��yU���c:�›	�HY����dx��#����&�t-��-U��&
0ݗ3ln��}w�`�ڠ�[?��Z?=δ��M�on���{
��k�xrRNݣ�6��
��")~	�m�7���I�Ȳ�`A
o�'-:2��۠"�P���p�8%��C���|��&�X�iP��PoSq���O��U�16%8�����Ýş�����ɛ�x[��Uޥ��{�'j::�\��sGڞ�J����%ק�l�!�)�?yXb���Ө���
+B��=�|�^dE.ŏ��7"�+�@����L
4�ah��Z\���1�S�/�l((�lp�����]h�.�o��5e=�����
�CU�,�O�7ڛR:DSL�f�|Ê��`�i�_�:����k�T�G�8
H>1[���[T�G_�#�	�\��ؔ�h����^��E��4W� 
�qґ���QA��$
+T�i���;˔
�_�‚7�95,�ؓ53��H|�[��/1&W5�҅5
��d�\�(q4��z4p�};���W�u �Y�EV��Š��Av�L�t1�3}
]�xŜGXO����`
�
%�U"^{E��g���ǫ�� 9�
+�endstream
 endobj
-2689 0 obj <<
+2912 0 obj <<
 /Type /Page
-/Contents 2690 0 R
-/Resources 2688 0 R
+/Contents 2913 0 R
+/Resources 2911 0 R
 /MediaBox [0 0 612 792]
-/Parent 2674 0 R
->> endobj
-2691 0 obj <<
-/D [2689 0 R /XYZ 72 720 null]
+/Parent 2885 0 R
 >> endobj
-2692 0 obj <<
-/D [2689 0 R /XYZ 72 610.162 null]
+2899 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/netlogit-FirstDifferencesPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2916 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2917 0 R /F2 2918 0 R /F3 2919 0 R >>
+/ExtGState <<
+>>>>
+/Length 2920 0 R
+>>
+stream
+q
+Q q 0.00 288.00 432.00 144.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.24 269.52 36.61 re B
+38.02 373.16 114.96 36.61 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 13.41 344.67 Tm (Y = 0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 13.41 388.60 Tm (Y = 1) Tj
+ET
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 418.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 183.81 299.40 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 326.02 m 422.50 326.02 l S
+38.02 326.02 m 38.02 323.64 l S
+114.91 326.02 m 114.91 323.64 l S
+191.81 326.02 m 191.81 323.64 l S
+268.70 326.02 m 268.70 323.64 l S
+345.60 326.02 m 345.60 323.64 l S
+422.50 326.02 m 422.50 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 35.79 312.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 110.46 312.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 187.36 312.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 264.26 312.71 Tm (60) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 341.15 312.71 Tm (80) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 415.82 312.71 Tm (100) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 185.24 m
+52.95 185.24 l
+53.65 185.24 l
+54.35 185.24 l
+55.04 185.24 l
+55.74 185.25 l
+56.44 185.25 l
+57.13 185.25 l
+57.83 185.26 l
+58.53 185.26 l
+59.22 185.27 l
+59.92 185.28 l
+60.62 185.29 l
+61.31 185.30 l
+62.01 185.31 l
+62.71 185.32 l
+63.40 185.33 l
+64.10 185.35 l
+64.80 185.37 l
+65.49 185.39 l
+66.19 185.41 l
+66.89 185.44 l
+67.58 185.47 l
+68.28 185.50 l
+68.98 185.54 l
+69.67 185.57 l
+70.37 185.62 l
+71.07 185.66 l
+71.76 185.71 l
+72.46 185.77 l
+73.16 185.82 l
+73.85 185.88 l
+74.55 185.95 l
+75.25 186.02 l
+75.94 186.10 l
+76.64 186.17 l
+77.34 186.26 l
+78.03 186.34 l
+78.73 186.43 l
+79.43 186.53 l
+80.12 186.62 l
+80.82 186.72 l
+81.52 186.82 l
+82.21 186.93 l
+82.91 187.03 l
+83.61 187.14 l
+84.30 187.25 l
+85.00 187.36 l
+85.70 187.47 l
+86.39 187.59 l
+87.09 187.70 l
+87.79 187.81 l
+88.48 187.92 l
+89.18 188.03 l
+89.88 188.14 l
+90.57 188.24 l
+91.27 188.35 l
+91.97 188.45 l
+92.66 188.55 l
+93.36 188.64 l
+94.06 188.74 l
+94.75 188.83 l
+95.45 188.92 l
+96.15 189.01 l
+96.84 189.09 l
+97.54 189.18 l
+98.24 189.26 l
+98.93 189.34 l
+99.63 189.42 l
+100.33 189.50 l
+101.02 189.58 l
+101.72 189.66 l
+102.42 189.74 l
+103.11 189.83 l
+103.81 189.91 l
+104.51 190.01 l
+105.20 190.10 l
+105.90 190.21 l
+106.60 190.32 l
+107.29 190.44 l
+107.99 190.57 l
+108.69 190.70 l
+109.38 190.85 l
+110.08 191.02 l
+110.78 191.19 l
+111.47 191.38 l
+112.17 191.59 l
+112.87 191.81 l
+113.56 192.05 l
+114.26 192.30 l
+114.96 192.57 l
+115.65 192.86 l
+116.35 193.18 l
+117.05 193.51 l
+117.74 193.86 l
+118.44 194.23 l
+119.14 194.62 l
+119.83 195.04 l
+120.53 195.47 l
+121.23 195.93 l
+121.92 196.40 l
+122.62 196.90 l
+123.32 197.42 l
+124.01 197.96 l
+124.71 198.52 l
+125.41 199.09 l
+126.10 199.69 l
+126.80 200.31 l
+127.50 200.95 l
+128.19 201.60 l
+128.89 202.27 l
+129.59 202.95 l
+130.28 203.66 l
+130.98 204.37 l
+131.68 205.10 l
+132.37 205.84 l
+133.07 206.60 l
+133.77 207.36 l
+134.46 208.13 l
+135.16 208.91 l
+135.86 209.70 l
+136.55 210.49 l
+137.25 211.29 l
+137.95 212.09 l
+138.64 212.89 l
+139.34 213.69 l
+140.04 214.49 l
+140.73 215.30 l
+141.43 216.10 l
+142.13 216.90 l
+142.82 217.71 l
+143.52 218.51 l
+144.22 219.32 l
+144.91 220.12 l
+145.61 220.93 l
+146.31 221.74 l
+147.00 222.56 l
+147.70 223.39 l
+148.40 224.22 l
+149.09 225.06 l
+149.79 225.91 l
+150.49 226.77 l
+151.18 227.65 l
+151.88 228.54 l
+152.58 229.44 l
+153.27 230.37 l
+153.97 231.31 l
+154.67 232.27 l
+155.36 233.24 l
+156.06 234.23 l
+156.76 235.24 l
+157.45 236.27 l
+158.15 237.31 l
+158.85 238.37 l
+159.54 239.44 l
+160.24 240.52 l
+160.94 241.61 l
+161.63 242.71 l
+162.33 243.81 l
+163.03 244.91 l
+163.72 246.02 l
+164.42 247.12 l
+165.12 248.22 l
+165.81 249.30 l
+166.51 250.38 l
+167.21 251.44 l
+167.90 252.49 l
+168.60 253.51 l
+169.30 254.51 l
+169.99 255.48 l
+170.69 256.43 l
+171.39 257.34 l
+172.08 258.21 l
+172.78 259.05 l
+173.48 259.85 l
+174.17 260.60 l
+174.87 261.31 l
+175.57 261.96 l
+176.26 262.57 l
+176.96 263.13 l
+177.66 263.63 l
+178.35 264.08 l
+179.05 264.47 l
+179.75 264.81 l
+180.44 265.10 l
+181.14 265.34 l
+181.84 265.52 l
+182.53 265.65 l
+183.23 265.73 l
+183.93 265.77 l
+184.62 265.77 l
+185.32 265.73 l
+186.02 265.66 l
+186.71 265.56 l
+187.41 265.43 l
+188.11 265.28 l
+188.80 265.12 l
+189.50 264.94 l
+190.20 264.76 l
+190.89 264.58 l
+191.59 264.41 l
+192.29 264.24 l
+192.98 264.07 l
+193.68 263.93 l
+194.38 263.80 l
+195.07 263.70 l
+195.77 263.61 l
+196.47 263.55 l
+197.16 263.51 l
+197.86 263.50 l
+198.56 263.51 l
+199.25 263.55 l
+199.95 263.60 l
+200.65 263.68 l
+201.34 263.78 l
+202.04 263.90 l
+202.74 264.03 l
+203.43 264.17 l
+204.13 264.32 l
+204.83 264.48 l
+205.52 264.64 l
+206.22 264.80 l
+206.92 264.95 l
+207.61 265.10 l
+208.31 265.23 l
+209.01 265.35 l
+209.70 265.45 l
+210.40 265.54 l
+211.10 265.60 l
+211.79 265.65 l
+212.49 265.66 l
+213.19 265.65 l
+213.88 265.62 l
+214.58 265.56 l
+215.28 265.47 l
+215.97 265.35 l
+216.67 265.21 l
+217.37 265.04 l
+218.06 264.85 l
+218.76 264.63 l
+219.46 264.38 l
+220.15 264.11 l
+220.85 263.82 l
+221.55 263.50 l
+222.24 263.16 l
+222.94 262.80 l
+223.64 262.42 l
+224.33 262.02 l
+225.03 261.59 l
+225.73 261.15 l
+226.42 260.68 l
+227.12 260.19 l
+227.82 259.68 l
+228.51 259.15 l
+229.21 258.59 l
+229.91 258.01 l
+230.60 257.41 l
+231.30 256.79 l
+232.00 256.14 l
+232.69 255.47 l
+233.39 254.78 l
+234.09 254.07 l
+234.78 253.33 l
+235.48 252.58 l
+236.18 251.81 l
+236.87 251.02 l
+237.57 250.22 l
+238.27 249.40 l
+238.96 248.58 l
+239.66 247.74 l
+240.36 246.90 l
+241.05 246.05 l
+241.75 245.21 l
+242.45 244.36 l
+243.14 243.52 l
+243.84 242.68 l
+244.54 241.85 l
+245.23 241.02 l
+245.93 240.21 l
+246.63 239.41 l
+247.32 238.62 l
+248.02 237.85 l
+248.72 237.09 l
+249.41 236.35 l
+250.11 235.63 l
+250.81 234.92 l
+251.50 234.23 l
+252.20 233.56 l
+252.90 232.91 l
+253.59 232.28 l
+254.29 231.66 l
+254.99 231.06 l
+255.68 230.48 l
+256.38 229.91 l
+257.08 229.37 l
+257.77 228.83 l
+258.47 228.32 l
+259.17 227.81 l
+259.86 227.32 l
+260.56 226.84 l
+261.26 226.37 l
+261.95 225.91 l
+262.65 225.46 l
+263.35 225.02 l
+264.04 224.59 l
+264.74 224.16 l
+265.44 223.74 l
+266.13 223.33 l
+266.83 222.92 l
+267.53 222.51 l
+268.22 222.10 l
+268.92 221.70 l
+269.62 221.30 l
+270.31 220.90 l
+271.01 220.50 l
+271.71 220.10 l
+272.40 219.70 l
+273.10 219.30 l
+273.80 218.90 l
+274.49 218.49 l
+275.19 218.09 l
+275.89 217.68 l
+276.58 217.27 l
+277.28 216.86 l
+277.98 216.44 l
+278.67 216.02 l
+279.37 215.60 l
+280.07 215.17 l
+280.76 214.73 l
+281.46 214.29 l
+282.16 213.84 l
+282.85 213.38 l
+283.55 212.92 l
+284.25 212.45 l
+284.94 211.96 l
+285.64 211.47 l
+286.34 210.97 l
+287.03 210.46 l
+287.73 209.94 l
+288.43 209.41 l
+289.12 208.87 l
+289.82 208.32 l
+290.52 207.77 l
+291.21 207.20 l
+291.91 206.64 l
+292.61 206.07 l
+293.30 205.49 l
+294.00 204.92 l
+294.70 204.34 l
+295.39 203.77 l
+296.09 203.20 l
+296.79 202.64 l
+297.48 202.08 l
+298.18 201.53 l
+298.88 200.99 l
+299.57 200.46 l
+300.27 199.94 l
+300.97 199.43 l
+301.67 198.94 l
+302.36 198.47 l
+303.06 198.00 l
+303.76 197.55 l
+304.45 197.12 l
+305.15 196.70 l
+305.85 196.29 l
+306.54 195.90 l
+307.24 195.53 l
+307.94 195.16 l
+308.63 194.81 l
+309.33 194.48 l
+310.03 194.15 l
+310.72 193.84 l
+311.42 193.53 l
+312.12 193.24 l
+312.81 192.95 l
+313.51 192.67 l
+314.21 192.40 l
+314.90 192.14 l
+315.60 191.88 l
+316.30 191.63 l
+316.99 191.39 l
+317.69 191.15 l
+318.39 190.91 l
+319.08 190.68 l
+319.78 190.45 l
+320.48 190.23 l
+321.17 190.01 l
+321.87 189.79 l
+322.57 189.58 l
+323.26 189.37 l
+323.96 189.16 l
+324.66 188.96 l
+325.35 188.76 l
+326.05 188.57 l
+326.75 188.38 l
+327.44 188.20 l
+328.14 188.02 l
+328.84 187.84 l
+329.53 187.67 l
+330.23 187.51 l
+330.93 187.35 l
+331.62 187.20 l
+332.32 187.05 l
+333.02 186.91 l
+333.71 186.78 l
+334.41 186.65 l
+335.11 186.53 l
+335.80 186.42 l
+336.50 186.32 l
+337.20 186.22 l
+337.89 186.12 l
+338.59 186.04 l
+339.29 185.96 l
+339.98 185.89 l
+340.68 185.82 l
+341.38 185.76 l
+342.07 185.71 l
+342.77 185.66 l
+343.47 185.62 l
+344.16 185.58 l
+344.86 185.55 l
+345.56 185.52 l
+346.25 185.50 l
+346.95 185.48 l
+347.65 185.47 l
+348.34 185.46 l
+349.04 185.45 l
+349.74 185.45 l
+350.43 185.46 l
+351.13 185.46 l
+351.83 185.47 l
+352.52 185.49 l
+353.22 185.50 l
+353.92 185.52 l
+354.61 185.54 l
+355.31 185.57 l
+356.01 185.60 l
+356.70 185.63 l
+357.40 185.66 l
+358.10 185.69 l
+358.79 185.73 l
+359.49 185.76 l
+360.19 185.80 l
+360.88 185.84 l
+361.58 185.88 l
+362.28 185.92 l
+362.97 185.95 l
+363.67 185.99 l
+364.37 186.03 l
+365.06 186.07 l
+365.76 186.10 l
+366.46 186.13 l
+367.15 186.16 l
+367.85 186.19 l
+368.55 186.21 l
+369.24 186.24 l
+369.94 186.25 l
+370.64 186.27 l
+371.33 186.28 l
+372.03 186.29 l
+372.73 186.29 l
+373.42 186.29 l
+374.12 186.28 l
+374.82 186.27 l
+375.51 186.26 l
+376.21 186.24 l
+376.91 186.22 l
+377.60 186.20 l
+378.30 186.17 l
+379.00 186.14 l
+379.69 186.11 l
+380.39 186.07 l
+381.09 186.04 l
+381.78 186.00 l
+382.48 185.96 l
+383.18 185.92 l
+383.87 185.88 l
+384.57 185.84 l
+385.27 185.80 l
+385.96 185.76 l
+386.66 185.72 l
+387.36 185.68 l
+388.05 185.65 l
+388.75 185.61 l
+389.45 185.58 l
+390.14 185.55 l
+390.84 185.52 l
+391.54 185.49 l
+392.23 185.46 l
+392.93 185.44 l
+393.63 185.41 l
+394.32 185.39 l
+395.02 185.37 l
+395.72 185.36 l
+396.41 185.34 l
+397.11 185.33 l
+397.81 185.31 l
+398.50 185.30 l
+399.20 185.29 l
+399.90 185.28 l
+400.59 185.28 l
+401.29 185.27 l
+401.99 185.26 l
+402.68 185.26 l
+403.38 185.25 l
+404.08 185.25 l
+404.77 185.25 l
+405.47 185.24 l
+406.17 185.24 l
+406.86 185.24 l
+407.56 185.24 l
+408.26 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+92.88 182.02 m 381.65 182.02 l S
+92.88 182.02 m 92.88 179.64 l S
+150.63 182.02 m 150.63 179.64 l S
+208.39 182.02 m 208.39 179.64 l S
+266.14 182.02 m 266.14 179.64 l S
+323.90 182.02 m 323.90 179.64 l S
+381.65 182.02 m 381.65 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 85.10 168.71 Tm (0.20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 142.85 168.71 Tm (0.25) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 200.60 168.71 Tm (0.30) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 258.36 168.71 Tm (0.35) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 316.11 168.71 Tm (0.40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 373.87 168.71 Tm (0.45) Tj
+ET
+38.02 185.23 m 38.02 253.46 l S
+38.02 185.23 m 35.64 185.23 l S
+38.02 202.29 m 35.64 202.29 l S
+38.02 219.34 m 35.64 219.34 l S
+38.02 236.40 m 35.64 236.40 l S
+38.02 253.46 m 35.64 253.46 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 183.01 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 200.06 Tm (2) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 217.12 Tm (4) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 234.18 Tm (6) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 251.23 Tm (8) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 274.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.23 m 422.50 185.23 l S
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 41.24 m
+52.95 41.24 l
+53.65 41.24 l
+54.35 41.24 l
+55.04 41.24 l
+55.74 41.25 l
+56.44 41.25 l
+57.13 41.25 l
+57.83 41.26 l
+58.53 41.26 l
+59.22 41.26 l
+59.92 41.27 l
+60.62 41.28 l
+61.31 41.28 l
+62.01 41.29 l
+62.71 41.30 l
+63.40 41.31 l
+64.10 41.32 l
+64.80 41.33 l
+65.49 41.35 l
+66.19 41.36 l
+66.89 41.38 l
+67.58 41.40 l
+68.28 41.42 l
+68.98 41.45 l
+69.67 41.47 l
+70.37 41.50 l
+71.07 41.53 l
+71.76 41.56 l
+72.46 41.60 l
+73.16 41.64 l
+73.85 41.68 l
+74.55 41.72 l
+75.25 41.77 l
+75.94 41.82 l
+76.64 41.87 l
+77.34 41.93 l
+78.03 41.98 l
+78.73 42.05 l
+79.43 42.11 l
+80.12 42.18 l
+80.82 42.25 l
+81.52 42.33 l
+82.21 42.40 l
+82.91 42.49 l
+83.61 42.57 l
+84.30 42.66 l
+85.00 42.75 l
+85.70 42.84 l
+86.39 42.94 l
+87.09 43.04 l
+87.79 43.15 l
+88.48 43.25 l
+89.18 43.36 l
+89.88 43.47 l
+90.57 43.58 l
+91.27 43.70 l
+91.97 43.82 l
+92.66 43.93 l
+93.36 44.05 l
+94.06 44.18 l
+94.75 44.30 l
+95.45 44.42 l
+96.15 44.54 l
+96.84 44.67 l
+97.54 44.79 l
+98.24 44.91 l
+98.93 45.03 l
+99.63 45.15 l
+100.33 45.27 l
+101.02 45.39 l
+101.72 45.51 l
+102.42 45.62 l
+103.11 45.74 l
+103.81 45.85 l
+104.51 45.97 l
+105.20 46.08 l
+105.90 46.19 l
+106.60 46.31 l
+107.29 46.42 l
+107.99 46.53 l
+108.69 46.65 l
+109.38 46.76 l
+110.08 46.88 l
+110.78 47.00 l
+111.47 47.12 l
+112.17 47.25 l
+112.87 47.38 l
+113.56 47.52 l
+114.26 47.66 l
+114.96 47.81 l
+115.65 47.97 l
+116.35 48.13 l
+117.05 48.30 l
+117.74 48.48 l
+118.44 48.67 l
+119.14 48.86 l
+119.83 49.07 l
+120.53 49.29 l
+121.23 49.52 l
+121.92 49.76 l
+122.62 50.01 l
+123.32 50.27 l
+124.01 50.55 l
+124.71 50.83 l
+125.41 51.13 l
+126.10 51.44 l
+126.80 51.76 l
+127.50 52.10 l
+128.19 52.44 l
+128.89 52.80 l
+129.59 53.17 l
+130.28 53.55 l
+130.98 53.94 l
+131.68 54.35 l
+132.37 54.76 l
+133.07 55.19 l
+133.77 55.62 l
+134.46 56.07 l
+135.16 56.53 l
+135.86 57.00 l
+136.55 57.48 l
+137.25 57.98 l
+137.95 58.48 l
+138.64 58.99 l
+139.34 59.52 l
+140.04 60.05 l
+140.73 60.59 l
+141.43 61.15 l
+142.13 61.72 l
+142.82 62.30 l
+143.52 62.88 l
+144.22 63.48 l
+144.91 64.09 l
+145.61 64.71 l
+146.31 65.34 l
+147.00 65.98 l
+147.70 66.63 l
+148.40 67.29 l
+149.09 67.96 l
+149.79 68.64 l
+150.49 69.32 l
+151.18 70.01 l
+151.88 70.71 l
+152.58 71.42 l
+153.27 72.13 l
+153.97 72.84 l
+154.67 73.56 l
+155.36 74.28 l
+156.06 75.01 l
+156.76 75.73 l
+157.45 76.46 l
+158.15 77.18 l
+158.85 77.90 l
+159.54 78.62 l
+160.24 79.34 l
+160.94 80.06 l
+161.63 80.77 l
+162.33 81.48 l
+163.03 82.18 l
+163.72 82.88 l
+164.42 83.57 l
+165.12 84.26 l
+165.81 84.94 l
+166.51 85.62 l
+167.21 86.30 l
+167.90 86.96 l
+168.60 87.63 l
+169.30 88.28 l
+169.99 88.93 l
+170.69 89.57 l
+171.39 90.21 l
+172.08 90.83 l
+172.78 91.45 l
+173.48 92.05 l
+174.17 92.65 l
+174.87 93.23 l
+175.57 93.79 l
+176.26 94.34 l
+176.96 94.87 l
+177.66 95.38 l
+178.35 95.87 l
+179.05 96.34 l
+179.75 96.78 l
+180.44 97.20 l
+181.14 97.59 l
+181.84 97.96 l
+182.53 98.31 l
+183.23 98.63 l
+183.93 98.92 l
+184.62 99.20 l
+185.32 99.45 l
+186.02 99.68 l
+186.71 99.91 l
+187.41 100.11 l
+188.11 100.31 l
+188.80 100.50 l
+189.50 100.69 l
+190.20 100.88 l
+190.89 101.08 l
+191.59 101.29 l
+192.29 101.52 l
+192.98 101.76 l
+193.68 102.02 l
+194.38 102.31 l
+195.07 102.63 l
+195.77 102.99 l
+196.47 103.37 l
+197.16 103.79 l
+197.86 104.24 l
+198.56 104.74 l
+199.25 105.27 l
+199.95 105.83 l
+200.65 106.43 l
+201.34 107.06 l
+202.04 107.72 l
+202.74 108.41 l
+203.43 109.12 l
+204.13 109.84 l
+204.83 110.58 l
+205.52 111.33 l
+206.22 112.09 l
+206.92 112.84 l
+207.61 113.59 l
+208.31 114.33 l
+209.01 115.05 l
+209.70 115.75 l
+210.40 116.43 l
+211.10 117.08 l
+211.79 117.70 l
+212.49 118.28 l
+213.19 118.82 l
+213.88 119.32 l
+214.58 119.77 l
+215.28 120.19 l
+215.97 120.56 l
+216.67 120.87 l
+217.37 121.13 l
+218.06 121.35 l
+218.76 121.53 l
+219.46 121.66 l
+220.15 121.73 l
+220.85 121.77 l
+221.55 121.77 l
+222.24 121.73 l
+222.94 121.66 l
+223.64 121.54 l
+224.33 121.40 l
+225.03 121.24 l
+225.73 121.05 l
+226.42 120.84 l
+227.12 120.61 l
+227.82 120.37 l
+228.51 120.12 l
+229.21 119.87 l
+229.91 119.61 l
+230.60 119.35 l
+231.30 119.10 l
+232.00 118.84 l
+232.69 118.60 l
+233.39 118.36 l
+234.09 118.14 l
+234.78 117.93 l
+235.48 117.73 l
+236.18 117.54 l
+236.87 117.36 l
+237.57 117.20 l
+238.27 117.05 l
+238.96 116.91 l
+239.66 116.78 l
+240.36 116.66 l
+241.05 116.54 l
+241.75 116.43 l
+242.45 116.31 l
+243.14 116.20 l
+243.84 116.08 l
+244.54 115.95 l
+245.23 115.81 l
+245.93 115.66 l
+246.63 115.50 l
+247.32 115.32 l
+248.02 115.13 l
+248.72 114.91 l
+249.41 114.67 l
+250.11 114.40 l
+250.81 114.12 l
+251.50 113.81 l
+252.20 113.48 l
+252.90 113.12 l
+253.59 112.73 l
+254.29 112.33 l
+254.99 111.90 l
+255.68 111.45 l
+256.38 110.97 l
+257.08 110.47 l
+257.77 109.95 l
+258.47 109.41 l
+259.17 108.86 l
+259.86 108.28 l
+260.56 107.68 l
+261.26 107.07 l
+261.95 106.44 l
+262.65 105.79 l
+263.35 105.13 l
+264.04 104.44 l
+264.74 103.75 l
+265.44 103.04 l
+266.13 102.31 l
+266.83 101.56 l
+267.53 100.80 l
+268.22 100.02 l
+268.92 99.23 l
+269.62 98.43 l
+270.31 97.61 l
+271.01 96.77 l
+271.71 95.93 l
+272.40 95.07 l
+273.10 94.20 l
+273.80 93.32 l
+274.49 92.43 l
+275.19 91.53 l
+275.89 90.63 l
+276.58 89.73 l
+277.28 88.82 l
+277.98 87.91 l
+278.67 87.00 l
+279.37 86.09 l
+280.07 85.19 l
+280.76 84.29 l
+281.46 83.40 l
+282.16 82.52 l
+282.85 81.65 l
+283.55 80.79 l
+284.25 79.94 l
+284.94 79.11 l
+285.64 78.29 l
+286.34 77.49 l
+287.03 76.70 l
+287.73 75.93 l
+288.43 75.17 l
+289.12 74.44 l
+289.82 73.72 l
+290.52 73.02 l
+291.21 72.34 l
+291.91 71.68 l
+292.61 71.04 l
+293.30 70.41 l
+294.00 69.80 l
+294.70 69.21 l
+295.39 68.64 l
+296.09 68.08 l
+296.79 67.54 l
+297.48 67.01 l
+298.18 66.50 l
+298.88 66.01 l
+299.57 65.52 l
+300.27 65.05 l
+300.97 64.59 l
+301.67 64.14 l
+302.36 63.70 l
+303.06 63.27 l
+303.76 62.84 l
+304.45 62.42 l
+305.15 62.00 l
+305.85 61.59 l
+306.54 61.18 l
+307.24 60.77 l
+307.94 60.37 l
+308.63 59.96 l
+309.33 59.55 l
+310.03 59.14 l
+310.72 58.72 l
+311.42 58.31 l
+312.12 57.89 l
+312.81 57.46 l
+313.51 57.04 l
+314.21 56.61 l
+314.90 56.17 l
+315.60 55.74 l
+316.30 55.30 l
+316.99 54.86 l
+317.69 54.41 l
+318.39 53.97 l
+319.08 53.53 l
+319.78 53.09 l
+320.48 52.65 l
+321.17 52.21 l
+321.87 51.78 l
+322.57 51.35 l
+323.26 50.93 l
+323.96 50.52 l
+324.66 50.11 l
+325.35 49.71 l
+326.05 49.32 l
+326.75 48.93 l
+327.44 48.56 l
+328.14 48.20 l
+328.84 47.85 l
+329.53 47.51 l
+330.23 47.18 l
+330.93 46.86 l
+331.62 46.56 l
+332.32 46.27 l
+333.02 45.99 l
+333.71 45.73 l
+334.41 45.48 l
+335.11 45.24 l
+335.80 45.01 l
+336.50 44.80 l
+337.20 44.60 l
+337.89 44.41 l
+338.59 44.23 l
+339.29 44.07 l
+339.98 43.92 l
+340.68 43.78 l
+341.38 43.65 l
+342.07 43.54 l
+342.77 43.43 l
+343.47 43.34 l
+344.16 43.25 l
+344.86 43.17 l
+345.56 43.10 l
+346.25 43.04 l
+346.95 42.99 l
+347.65 42.94 l
+348.34 42.90 l
+349.04 42.87 l
+349.74 42.84 l
+350.43 42.82 l
+351.13 42.80 l
+351.83 42.78 l
+352.52 42.77 l
+353.22 42.76 l
+353.92 42.75 l
+354.61 42.74 l
+355.31 42.73 l
+356.01 42.72 l
+356.70 42.72 l
+357.40 42.71 l
+358.10 42.70 l
+358.79 42.69 l
+359.49 42.68 l
+360.19 42.67 l
+360.88 42.65 l
+361.58 42.64 l
+362.28 42.62 l
+362.97 42.60 l
+363.67 42.58 l
+364.37 42.55 l
+365.06 42.53 l
+365.76 42.50 l
+366.46 42.47 l
+367.15 42.44 l
+367.85 42.41 l
+368.55 42.38 l
+369.24 42.34 l
+369.94 42.31 l
+370.64 42.27 l
+371.33 42.24 l
+372.03 42.20 l
+372.73 42.16 l
+373.42 42.13 l
+374.12 42.09 l
+374.82 42.05 l
+375.51 42.02 l
+376.21 41.98 l
+376.91 41.95 l
+377.60 41.91 l
+378.30 41.88 l
+379.00 41.84 l
+379.69 41.81 l
+380.39 41.78 l
+381.09 41.74 l
+381.78 41.71 l
+382.48 41.68 l
+383.18 41.65 l
+383.87 41.62 l
+384.57 41.60 l
+385.27 41.57 l
+385.96 41.55 l
+386.66 41.52 l
+387.36 41.50 l
+388.05 41.48 l
+388.75 41.46 l
+389.45 41.44 l
+390.14 41.42 l
+390.84 41.40 l
+391.54 41.38 l
+392.23 41.37 l
+392.93 41.35 l
+393.63 41.34 l
+394.32 41.33 l
+395.02 41.32 l
+395.72 41.31 l
+396.41 41.30 l
+397.11 41.29 l
+397.81 41.28 l
+398.50 41.28 l
+399.20 41.27 l
+399.90 41.27 l
+400.59 41.26 l
+401.29 41.26 l
+401.99 41.25 l
+402.68 41.25 l
+403.38 41.25 l
+404.08 41.25 l
+404.77 41.24 l
+405.47 41.24 l
+406.17 41.24 l
+406.86 41.24 l
+407.56 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+99.36 38.02 m 326.30 38.02 l S
+99.36 38.02 m 99.36 35.64 l S
+212.83 38.02 m 212.83 35.64 l S
+326.30 38.02 m 326.30 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 89.24 24.71 Tm (-0.05) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 205.05 24.71 Tm (0.00) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 318.51 24.71 Tm (0.05) Tj
+ET
+38.02 41.23 m 38.02 106.92 l S
+38.02 41.23 m 35.64 41.23 l S
+38.02 63.13 m 35.64 63.13 l S
+38.02 85.02 m 35.64 85.02 l S
+38.02 106.92 m 35.64 106.92 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 39.01 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 60.90 Tm (5) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 80.57 Tm (10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 102.47 Tm (15) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 106.44 130.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.23 m 422.50 41.23 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2916 0 obj
+<<
+/CreationDate (D:20070601024248)
+/ModDate (D:20070601024248)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2917 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2918 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2921 0 R
+>>
+endobj
+2919 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2921 0 R
+>>
+endobj
+2920 0 obj
+20018
+endobj
+2921 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2914 0 obj <<
+/D [2912 0 R /XYZ 72 720 null]
 >> endobj
-2693 0 obj <<
-/D [2689 0 R /XYZ 72 241.918 null]
+2915 0 obj <<
+/D [2912 0 R /XYZ 72 309.213 null]
 >> endobj
-2688 0 obj <<
-/Font << /F70 642 0 R /F67 564 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F48 554 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F52 1472 0 R /F54 1447 0 R /F79 926 0 R >>
+2911 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F69 550 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F73 1467 0 R /F75 1442 0 R >>
+/XObject << /Im25 2899 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2696 0 obj <<
-/Length 2713      
+2924 0 obj <<
+/Length 2389      
 /Filter /FlateDecode
 >>
 stream
-x��Z[���~��XJքs�-��6
H�n[�u�"�;]�ڐ�����=���F�dA����pf�wn�9��_|�:˯�E�\]���B$�U�"6��g�V�x���y���@����*�1�w�biL=tueWC]���"1Q��Q��2����8qSf�l�B(���ź!�t�:6n�ׁ9R!��?t�}Og��H�n�sBT]�Py�4���€
�
^��p�m�-������xj�-?|��
_m��m]-e����F�҆�_v8�Vi4l���*�z�Y��]S�S���Q���b	�j�IT"��
�"�5���<��D�1�)�Md��A6 �:�W�1�idjQKj�iJEz�Q� oci�~`A+
����v5�[S���0�mM���:Ϙp��m�t�"�Q���N�͖U�N϶g1��lk�в�m���H�T�$�U_��4�c`w�w�nw�p�,�	m��٣6[A�^��"g��'uƣ�t\.���w`%�
�
�ߛ|j}����
�ňL������	�����W<��82��
�l!�'>��lb+Zk���%!�p��
vh�Y�mQ@|n�Ѯ�����{�,d�o7�,�v͗u�� u�wq��P�����v���e[��~���ïm{~�������l
��!T|�tg�+��
^Ӷ�~C�
�}���X,Sx�z��hKy��F��r���/Ai��ͧ2
u�6
�X䙷���ow���2�I�;�\⥉�׈1��~������K~�����$�
-.�j1���?��W��}Q�^�s��!���P�H�Z�P�,������t����\���m �]h�A����mS�4n�
��+��G�B;C�P<��=z�
-�g����
Ln tfޥZ���Q��B�Q�@�Pz��Ө�

-0pw��/!��+[��/�L���vq��\c��gv��R,O!5Kr:Yz^�#������]�LD�
�S��9 *�6Y�W��r�
|C��0l��ɿ]�x�q���7�H~��
�.�yer��^�
1�󳯱n	�����)k¤�[�\?z&�	�IWSo�v{��#�O���
8�#-���A��F��s�� ���ĭ#}
y�g
���
�QO)n0����n�\Mi�W�B�+���(�v�͡lS]��GU��hg��-j�j�i�����.X��i ���J>M�	*Wy�Sr��9�6f���8SW��oCX�
-Ht:c��	y3��\�����B'�C�qp�n��~�
�kG7�9*�M�zK�,��f|`1��"$)���x�#b��'��?P!S�Z
}���2 l�0�
;������
-�GJ=�0-GO���:A���=Ba�c��(@NpR�ÜGG�#&Վ�!I�N� <����c֠-w�N��8-
��Ln��H��
KL����Ml��y�Gq�����8�O��/�	q� B)} 
������@�U�t�
�����iD���m瘐gH�͜�ϋ�y�bä
B�\�&d���N��h]gbWJ!lr(%�=4il���s�G���=)�7Sζ����Y5��1�\`�Ԧpx�d�^��;wAs=ۍ}O�"x��]r�pOzi�
̮lv���4=?4;g��7Kl�>�n�uQn\�<2�/U��ET���"uܜ��;��̸��rn��e�o���E�Ȥ��IM�.�{�
j
-
cߋ�ŏ�����ĸ�
-#h+�'�4��c*|Zqɑ����QQ��-��@K
 ��dvS�c�%�� *���
V�E�O��7�B��B�W���/�1�5�=d"
��a�:�tK��7]���}H�Y�Խ
'u���"Z�	�c�$��Łd�)�Sd�^�k�rb_8�
���9l��t�uf+*ʜ�'�Y��8�Y�>�Va���+70��hl<��
?}�=�q� ����g�>طÎ���o;��[C���`��%H��5xX~I�
����]���j�F���b���rb|%+�������Óz���	Gf�f~ _[7����a�^Y�����P����=�;�tp���R:����������>��%�<:�q
-����Xsg����
T���(�qH��
-�����
�
-�G�q�"P�ՙ�\��ǹ�����p!�I�}j�bڧ��t�a
-���i��P�ƗD �A�׮>P�H����
-���e��̊�J�T-��Md$w)�"[|a�HuOy�K�`���i�3�t���s�����P��
*�s
��̞F��Y0�>�k�h��SV�
m���9�b&�4�j�f��0�w��9
-mY"L��B��5f�;:,�����PpuQ�5�gsR�
��~�ϡ���	���uf�ǣ��Y�ٱ
��`
VƯ:��~JVNjс�=��㶭��sj������G*PBQ

S��������|^��)�.`
-��O�P�S���б��N0'mD��P3R™�T���Q��Kr�b1�K8�g�׏;�?d���g��k�Q�Bv5�y�7�L��
��d��?�P;s^
�7�H����X
��z�\Z
}�>�#����ާ�i�
C����E>��"�$a%Đ#��S�}�k+��?~A%�Ƶ����/�Tj����a�_�	�clN��q��ϛF
V��؅>���2�K
-]�s��S�p^����MB��<��
<J�@��	�oο�Qv����_��/���endstream
+x��Zߏ�~�_�(DB�
si4u	
+�A)�8:i�S-��g��|�
��ݥd�%H���Krșof�����䋗�V��Tu��e�kU�*�k����fƦ�����|��/�fAL�*ꇾ����+C�q#4Ѳ�1V�Ak
ѓ����j����L����sKd#����˟(��HFp<����)�����$~��9��šeh���M�?&{琠i
�
>
��v~\/f�Pt�������ٵ�cQ�&�EAk�s��\O_C�=���f��\��^������SM�c	F�旘T^�[t
c*i��t5�w��'_]M
�V
�*a	[i���Zl'o'?�L��V�L(착
�M	��N� ��q3�~�]Z�����j/F�O"�$ˆ���s>�+����2�l��p�&៖�j	�q���2U	�}7#�aR_Q&
J7��6�Xa%E�l� �2?�ya���% 	�H).�
Z�C�������x,s��Gh�
��	�^��[��w��7W��M,�1��MA�%J��~q��~7���~it"�v�ڰ�U����k�W��4���׻ [...]
 X\=OW
���2:9k�?�N�
�6��en��Bg�E�p�RYJR9,W
��R��Ϙ��x%��"�(|w8�.�(2ȱk
�ظj�a��fBO�Y8pr�B�/x�Ƃ��dAV�=`}��a���Y��~⁍�L<��I��ģJ[��C�(
!�Z8�~�������j|�0*��p�\rN��"����k�fVv��=\^�Y�cļKmx�;�+1P.\Uv�:���6&��8x��W����ۼ
�g������ju�,,�b�-�r���dY6�������1�|���b��@f��{9kx�9Dž��CJ�>|4MO7�o������2`?������ˌP+&��f�͏�\�
���A��l��
Go�Z�4�w	Ϳ��t8�w8&����=G�%�
':E栏Yw���~rS�g���� ʭ��)��]@.��
P�+�<��2�u�λZil)% �

)IC���:"�
+G/
¤&1��2
�ށ
ƛ8i6P�����
�_Y�����9��Ds�ג��y����JvR�����

`��?�t�p�r� ]P�Se��o{1�b�M����y��&Gx��<���%ݤ8a��`�n�ّ_�����~֤o a�xCO�G
�Gx��Ԑ�u�
����C��
m;ˆ����A�9=
�[?�X�Y�N���N�
�g��hb~Whb�:"׻�0��
+�D�z�l�hN�3Ӡ\=�E�5�Nt"��0?��x��?p�O��:]���
P�De/
+�9�����z����̧�c�6C=��H�8�DHջ-�S@���_{z��9����y��m��L^�.����*�g��Ppv����E�?�$�<��A����7�p�q�c��2 �]��c!|B�Ÿ��qp��g��=j(ێ�*�|��+�r"�վW�`�g,a
�|�)��X�ї�W�����r
�V���!���U�ٝKK/H�ٳo���_��_��=�l^V�6�1������i��$]�u(��"GF��P�K���/�Me���Q��gmn�#=O
+,(�!R�N_꘿��	������4.�f���?�Y�j��!�vuJ�
���:\vaOw��L��>
������e�o���w��t�.���l�^��bt;D��wXp�t$�y
Y���>Q/x�|�(J8s�eB�{�5o�3���/L[��endstream
 endobj
-2695 0 obj <<
+2923 0 obj <<
 /Type /Page
-/Contents 2696 0 R
-/Resources 2694 0 R
+/Contents 2924 0 R
+/Resources 2922 0 R
 /MediaBox [0 0 612 792]
-/Parent 2674 0 R
+/Parent 2885 0 R
 >> endobj
-2697 0 obj <<
-/D [2695 0 R /XYZ 72 720 null]
+2925 0 obj <<
+/D [2923 0 R /XYZ 72 720 null]
 >> endobj
-2698 0 obj <<
-/D [2695 0 R /XYZ 72 613.366 null]
+2926 0 obj <<
+/D [2923 0 R /XYZ 72 578.947 null]
+>> endobj
+2927 0 obj <<
+/D [2923 0 R /XYZ 72 318.939 null]
 >> endobj
-2694 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F67 564 0 R /F35 1440 0 R >>
+2922 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F114 560 0 R /F126 638 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2701 0 obj <<
-/Length 638       
+2930 0 obj <<
+/Length 1932      
 /Filter /FlateDecode
 >>
 stream
-x�mSMo�0
��W;�@�Z�e+�6X�u(6 �e�j�$B9����#Ew�]l~>���}ws�д�|�T��Vfm�yY���`�!,�`�1/s ��qxӧ�g�x� �w(eVH� #Hw�yQ��s��k.[6�'4���rSt;�-F;%tG
$��(�b�H:��T�e)/��P��a�S�j��a�{A��
 ڑ���
q戃'H0+��Woʹ
�s���8��y]7i`jE6�<��G�M�_�\s٨��4תNY�PkZaB�6
���à 
z{͵d+2|��\�RlY�G�&��gQ�O���W� hD�
���O8��G�a�DX�a$���� #Sļy��H�<O!w��"�"Z���/���V��.�P*����4�
_#����ݒF���?�p���
�̎+�!]����d�9�lн��c���^���Z�p��l�S�0l!-��]tCH����]�Y\�j؜.�I=��Pyuӑ����D��b�
�
���Ӗ�
��k�+
w�
���/���ԢG�>��K�ϣ�
�] ��ZH�š�o���`k�1�%���
���/dUU��x��V�=]}z)�����h���h�
�B�{"˻e��9�]����)�Rd�*[.[ڍ� v������o	,�endstream
+x��YKo7��WE+ b�X.�)zH�H��E�
ڦYZY�-��U
;��
�3\�D9��a��y��ыɓ^	Q����'�<��,��k�K�4���g���
�*%�Ly�=��H+�f�Rڔ�f��H�l4V�[�]�Ռ�R�ŋ�H�ŝ�i:����3��
</�৅k��[��'<m�k�}�\s\b��v�
Ll��'/EC_\�޷� -��
.q�s�Ɨ8zᥢ��'�
+�Na'c����4u
�nr��8�ǽF���̯rØ�l,�,��|�r�96?w;\�dj�[/�7���Q%��V��ɘ�b��q
4/`!�~4p����ii at x�J�?���^@�fp������ڦ^��
Ӷ�=�TjW�~�n1�\��9��I]��a`�
+\���LT�#D� w�D-�⛊�a���C^{�ﲎQ���<�/������gt��s��<�%Ӝ�F{��Vh�k�ܶ�Z�r�H����ً<��պ­;�y�r��>�B?�����{�^��
\�L���
�!B���-�ᔻ_�j�� :÷⬊AߡN�I�v����T�����!W�sRW�K2�ӠS_0���FXI�{s�k��g��YֳWL�
+�R?��
��{�!��u1��y���5S"q9]���K�j�D&�OX�@B,�ɜ�ć.L�Dr���^a��
+nNׅ����E�aR��5�w��?�q_}ǡ��Hii#r��i��T�G���3zҬ6�㛑֘��5
:H���
U�*Cl��8&$�&�F
Ϻ|��0

���nП:�
����b��f��!�fH�Sd��b��2�Fx�1L���$2M�p��.F�fQ�y��
MKSɢ��ޥ����G���7��?���������C}�
(�΢��ET����K*�2�U�Ol����Rg5��
Y��qԅ�`�(Ϲ��O��gae�
��SF��m�D�4��� �ͧ%�e(># Q��� �|I�]�Q���	y��~��3�/�S�nO�{�|�"&�X0�4�p�Є���<�
�
�p��lY�%�#2����s�;)K3�p__㡯�����*���к�/�7�
��d�1X�z��G*P?B�.gP�bY�f����;���%�Y-E�e	Q!v=�S�
+I�,ŵ;G�n�� ��p��0Sƣgw{�9�g&����-g
�������Rzs�s}恵[Q�c/��QB�5��E��b�2�*9��,z�a��=V�#Dyo�
��s�'���HY�٦��񕯻�Xfyy$�I
T�
sle��&�
`�z�	 u(���>�	`�	�@
��/� �#�
��Td
R��4��š+�Vvw�l�9�c��a�/��>�Q=)����c^��w���%�Mi�3�"�����1q 
�Sq�kc%����(OcoZa�uҟ}�e!�
�yK���Į �"4��� #���nO���k���|]�4�����L��0JhF�Є�n��/c�D�g/(.�{	Ψ�i��5�ㄅ�
��[D����W�}�כſ<���N��?�‰�����T
���+
��
++�(N���ĩ�g�3y���@�3
�)$\
/AC8bQU��\ྥ� #fg[
R������؅�)�����?��%i1oƃK�^
��7��84| Cj]
��:~ާ@O���r^LF5��h�ν^#�A�r��
��׻�a��ElÞ�Ef�'�6Y�Դ!�_�^��W��Ì���e��[e�L�©
+@�Ë) z�&����Z��y噓FE�hϐ��i�
+��U� ��]|g�[��-Y�{��-r��,����-���uz7�y�(�<��!�[w�Ζ}��?_;�v�ۤ¶��6��$�"�DA��B��
��
퉰�
z�i��7�	AjE4��
+��O�����GJ88)�,�4S\�9M�ڑ<y9y�/~r�endstream
 endobj
-2700 0 obj <<
+2929 0 obj <<
 /Type /Page
-/Contents 2701 0 R
-/Resources 2699 0 R
+/Contents 2930 0 R
+/Resources 2928 0 R
 /MediaBox [0 0 612 792]
-/Parent 2674 0 R
+/Parent 2933 0 R
 >> endobj
-2702 0 obj <<
-/D [2700 0 R /XYZ 72 720 null]
+2931 0 obj <<
+/D [2929 0 R /XYZ 72 720 null]
 >> endobj
-2703 0 obj <<
-/D [2700 0 R /XYZ 72 700.324 null]
+2932 0 obj <<
+/D [2929 0 R /XYZ 72 358.347 null]
 >> endobj
-2699 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+2928 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F149 920 0 R /F35 663 0 R /F38 1435 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2706 0 obj <<
-/Length 2380      
+2936 0 obj <<
+/Length 2359      
 /Filter /FlateDecode
 >>
 stream
-xڕYYo�F~������t��؎
{ax�X	�Y���s�	ɑFZ �}���Q+k�
����㫪���Ͼ{��g2Jڳ��Y�������߉T+��ѫ����wy:[�ia
-u��Ҷ�U�~���.[-��~���:3Y�	w=��`�ژ<�a����BJnj�oq�H�D��ox\�d�V
-�
����߻5���G���,���j
�
��n�'�ֹI~Z�&�����hV~��7Qٙ"�n���^�L���t~
�U�W�],�
-~
͓>�
7�v��Z޶��'�p�
xc��\����'nV�v�l
y#����͵_�#�<�t:�V�Hlx�!��a���p�c��"݀P���ZaLFr��C�"���tp�;���۠��e		�sX!(N���n������#{t����G+^}ٱ�`�
�7�� U��qz�9/�o{�x�aA��[�ߒ��=��&6"�fş����q�T-
7v=�o3d���
��9�UYr�
T n��m��
9�t�����#d~�z��9�x����\S_�~O%�HT\O�^;�:�YhU-�W��`s��P�M#��L
w�X
#�����		"o�+�Cg�wjϲdSI�
tmsǭ�
,���8z��nb�En7�|�%
~M|��d���3��]�A������Hu���K�u)r���	OH"�,��:V���݄l����&����x��A��$�!�0r��Yc�&��<g5Bj�_��7��,��g�U/��8ށ�������|���ׯ�T��l�%w
�92����op|�� 	
�{��
d�0���=T�'9��z���M��常���q�Sc��߫���������C�?������
	6M*�3N1�fMI&MQ
��z�
��(��ޓz��+��v
�L&R������^C� �
-�lC�k P��R�k����m�pv����,�m�<)�+�Ei���1M1c�K�bq[a3؟�<��J�1�HXa�{����Q�8tɄ��1y	�����0bPE]�\	
���^�ꏟ��m�`9������I�lr0^x�P�1FN�����j�&���b���l%��~��¨ ��n�'��
��-�� �B
�8����
u��6��MrSW��)NT֦������[@w�a
rŴ(��}E��+�xg��Ͳ������w<4�
���R��!����?��I
-u[��
H�/��Y�TVإ7Lޯ�&Ya�S*a�4��X7��n8��8�;|�P��E��{�T�H��z]H8q����+
{3%f�$W���nf�`��;F`��\ω�gc��\�dV+N����݆�$SnS<���5d�G1
S�"-'�
T�ڨ?�A�m aRQ���N,]���q�	yw͚�d��
8cX��Vq	B*��e,�(��J�R�
-�
q���*��v�2>��߀}h�oB*9�F��vLƢ)�� 	�!�?=�A��o��%���=���1�BgŒ94Ι�A]C�
}_�4;�
��
�5�S*H)0�5�jv�r4;A��J	�K		�Zf���7��+���}���"N����.]r� ����
�
�����D�
�R�k��窾�ƒ�0���U��ݭ_���%�.�G��t2H�s�D�ܢp�j7.&F���\r5Ӡ1�l�@��"6A�0����ac��W�T���A&-wk��x�5�	0vB��T�� ๝����	h��(�)EPB��X���E	
-T��ֻ�8K�dv�.)M
-� ���ϒD�8��<��ӏ�-}��6��Ly���&
=Tx5q����vMwE`�`�I4�M=�Qc�S��_�c{*4A%R].#=�\՜���DE^2�T'�
hN�/0PPU5���7�����Ӈ"���H�Gܐ�]��UC3
��#GH��NC goG���i䡎4 �)���X�_4��<��G
-�hl0�(�4����
9߀U�p|���6X�;B�E���dP#ը[��b{*eua�m_��_&m�_ q
?D��(�t�C�̫�߰�},�<E ٷ
-�
�҈
�Gg���YL�
M:�$%�iB�
�P0���T&���/�p"8 ��H�rG/�W���̔�A��ߝ؉<���!3��z
�sZ���2!�j7�������B�B���0��l�����Eݞ�Y"��ӫՀ��!�Rn�L.9��J�8=L5�U��f���	-�B��$Q������܉���#Ra�%�7mR7�=X�> ��#K~�Bw*��X�ƙ+�M��<�fǟ�R����O at o��nO�!Ğ{�:�o>�;E���
��3$����<xW��f�
��I隽k/�T<��Ţԡ|f$xc�cjC86
�ɔJ
��)�E���(
�1����g�Tly�endstream
+xڵZ�o�����B�ORkm��˴W �%H� ܹE�Y�m!~�(�����ffg�Kq%���֒ܝ����f���/��Nk7ѵ2��
�Nj3�
�
+w��L�LO
\
+.
W��
�
֘*YSY嬟��
+f]õ���\�j�SiU�^�r6�J3��]<we1��=�m�Z��+�a��q1-x�Z=��t���Ƿ]��C;G�&s�gn�j�'�nfs��^�Z&2����c�8�l�Dq|r8#AM3�@�$9笞����"||��gs�駌���D�e�i��4���t��yњTC�E�Y^���:+��W3�Q>���O��&�6��
��6R�ĉP^���|�m��/��db����E���vʹ��7�Vv��(
��{7��-�CO��xu,�t;/]=}�3��4{��7�n�q�D����E�Y^�j߃�[�䶧BT��h�� Y�����
�Ȣ��
\�m���"Ooy�XM�8�k����_�{�07�	
V�x�CXvX�
`�x:�z�t ���Uʺ�(��$�y�K1�ex/���[�;�;�~c5��m�I�
���Bt���d��%�l�m��"(
��>���L���}���~M�z��`����p�
ҮC�=��l�����>���m#�K�]�i/���I��-�mP5�^k�Ы�F�Fs��\X��ϵ*��!�$�>�k]�����-Ti4���!M-����ׂ��(])�
+��v�+�
����/0��3Z�J��ؿŒ���?)/����mG�VB�*R��߇�����C��
Y%�]
\���
Q�ff�?������qe�ǚ{l��I[��
��HXOſ?�Ϯ�y�J[�g=4��'`����
�k��Y5����������띐�����
�x�gqx/y�&��;�9��k�X>Nܸ��@*W�D
+˅����J
+I �P����b�0{�����Vz���Y��)��3
h�_�q?�р}�
]3��17���
���"�q��d�m��I�(�X϶R
�h�=�����s'���8��k�*#ۿ�Y���B��6�5�d\
�@]O?��H�VH�����
���-EȺg���``����٪�Q���m�rZ8%�w�sZZfgd�m(C�@r*[务S��#��y
�����v�w3�+�8B���]L�Ha,6�L��NI͔���;c, ��
�	E\���0�|�
��Hݥ@�弗Ň�
�
��S�0̙�L�E�6�*Q�f؉�Sv,C�����Y�q�,��Q��"q,M��x�q���1��e��� B����ЊoX�Gam�����VS��
���QMw${,2!W�؈�{P�ݵ�K	��4N�(�['N݆�-�y�us(�,a��|[=3
+;��d��Ez1Nzw��Q.cD
+.Z�\'�*�~ދ}89₽�e	7 
�H��>���esD�.,w
�h>'�}Jr�Nߤ�Wha�\���\��F
�3��)
�����)��;���y������W*	0�|��������v���zP
+=ˇ5�>��҇*I؞v��!؇��	F��uVـ�+랡�/�f��צ�x�H?�ds��s+!Q��7�	���n�Kk�	��	�J��*PXK��L_	C��x{��FT���rڮ�b-<+�=C�w���w�G��zD3��N��Շ��g���#%��4d9@�8y�d|(�	~��r)��!<O3ܾ��
�t�6�Qg�^�I<Θ��j/-Ь
G"��x9Hr<V


r�j�
L��m��Xޔ�~,_9UB���te w�����H_a���z���z��}�M2�:&3
�a�H��.�y��/�~r8K�ӚW��
f�򮓮�Y�Z��њ|$���Lܓj��C�8B�pl<7�z��~�|6����.��e߁���طcY����N/3��C� ���Ou��\�Z�^�_c�3�b5xtzw
�c����e��24���_{ߣ�q�tv(t�8Vy?]��vɬg����|�cM����Ծ�:�i!E�Q�jp�G�{�-ؼ
D7
��~�pE
�v�`x��`��(89p��C��H��U�~s$B�%
�K�
n�#�_�(�
m�\�X�Rڕ�ܥP���z��Bb��~j7���P7��e�7t
j
��
��8w�g�HlL?ڱ���Z>B�t^�J�ʜ�zW�u�T2��5��J�
��oi��&���'�W�b���U_�z6���
-���`��Y�:k�=�c��r�O{�����Ak��u.�7��
����iH5�S�n��~��o�����6
>�.k�Lc�A�P�6�
{�Z���]��2PoJ((QV����B%W����������endstream
 endobj
-2705 0 obj <<
+2935 0 obj <<
 /Type /Page
-/Contents 2706 0 R
-/Resources 2704 0 R
+/Contents 2936 0 R
+/Resources 2934 0 R
 /MediaBox [0 0 612 792]
-/Parent 2722 0 R
-/Annots [ 2708 0 R 2711 0 R 2712 0 R 2713 0 R 2714 0 R 2715 0 R 2716 0 R 2717 0 R 2718 0 R 2719 0 R ]
+/Parent 2933 0 R
+/Annots [ 2938 0 R 2941 0 R 2942 0 R 2943 0 R 2944 0 R 2945 0 R 2946 0 R 2947 0 R 2948 0 R 2949 0 R ]
 >> endobj
-2708 0 obj <<
+2938 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [170.295 641.411 198.951 655.359]
+/Rect [171.466 641.427 194.236 655.261]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
-2711 0 obj <<
+2941 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [292.84 414.18 326.764 428.128]
+/Rect [292.875 414.216 326.752 428.05]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2712 0 obj <<
+2942 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [333.197 414.18 358.601 428.128]
+/Rect [333.215 414.216 358.592 428.05]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2713 0 obj <<
+2943 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 308.794 501.89 322.742]
+/Rect [455.338 308.799 501.9 322.634]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2714 0 obj <<
+2944 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 308.794 533.192 322.742]
+/Rect [507.837 308.799 533.214 322.634]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2715 0 obj <<
+2945 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 293.139 540.996 305.759]
+/Rect [449.991 293.145 540.996 305.688]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2716 0 obj <<
+2946 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 278.029 175.918 291.977]
+/Rect [147.912 278.029 175.883 291.864]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2717 0 obj <<
+2947 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 278.029 207.784 291.977]
+/Rect [182.33 278.029 207.707 291.864]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2718 0 obj <<
+2948 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 169.416 273.869 183.364]
+/Rect [239.774 169.395 273.651 183.23]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2719 0 obj <<
+2949 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 169.416 305.735 183.364]
+/Rect [280.099 169.395 305.475 183.23]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2707 0 obj <<
-/D [2705 0 R /XYZ 72 720 null]
+2937 0 obj <<
+/D [2935 0 R /XYZ 72 720 null]
 >> endobj
-418 0 obj <<
-/D [2705 0 R /XYZ 72 720 null]
+414 0 obj <<
+/D [2935 0 R /XYZ 72 720 null]
 >> endobj
-2709 0 obj <<
-/D [2705 0 R /XYZ 72 561.477 null]
+2939 0 obj <<
+/D [2935 0 R /XYZ 72 561.523 null]
 >> endobj
-2710 0 obj <<
-/D [2705 0 R /XYZ 72 479.881 null]
+2940 0 obj <<
+/D [2935 0 R /XYZ 72 479.954 null]
 >> endobj
-2720 0 obj <<
-/D [2705 0 R /XYZ 72 132.819 null]
+2950 0 obj <<
+/D [2935 0 R /XYZ 72 132.829 null]
 >> endobj
-2721 0 obj <<
-/D [2705 0 R /XYZ 72 137.183 null]
+2951 0 obj <<
+/D [2935 0 R /XYZ 72 137.198 null]
 >> endobj
-2704 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F78 924 0 R >>
+2934 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2725 0 obj <<
-/Length 1379      
+2955 0 obj <<
+/Length 717       
 /Filter /FlateDecode
 >>
 stream
-xڭWKo�V�ϯ��Y`5&���S��<�,�JI��tA�:�.���������G�i������>��w�9�F��Σht�����h{�녰����<�D~����wL�Ջ<�p��|a��u{�9�����$��؛ȧ��Uj�x2
fΪO���U�#�
1�)Ͽ��T������Dv�>O(\
��V�
9�����k
��?Y��c��co#r���5o���
�|�
-C�O�ίQ%P�s�i4����3REL�C�!��!'
T�*w�j��-�B6��j����S��FW%�3������L�a�x
$�i.�}�6]����=�?P!��A��ʀLI��HK�F�J�x��q:�N��$mÛ��ߩc�J׼��
�m!�(�J��
��Ì��OD�V5���|�l�Y��Rc��$r$���=`7�O�Ǟx��$S`��1�����2�AQ��'�
tа�f�6��@���l�=�^
���B��L���b�nэ����j0����ݒ�����'��ir�q�x�ٕ��f���	����κ�#y�j#��+(�C�<���kT0����@h\,��C1��dx�z��Xm
�Dڋ
-�Uv��� �dX7���k�NU��l�W�ԥ��4�Rtd�Wlރ�6:0��
��C/#�g�ė��_^
�V�}�:k����yX��b��
��;.��ڼ
�JT��:�"&�M�<n��m�=0:�Sm�u����R��=�4�þbk�ވQ��?�.B&�w<	������%��p���ķ���-����O��A3=�C��z:/o@.,ݹ����A�/��
��
�
�vZ[H�ۜ�Y�v֮w�FQ�t��`��T��D at qC��@R�r����t%Bt<�����"��Y������2'�
Z�/�#c2��宜�jҞ ��Iz����,D��*q��=g]WO��+�ot�A
��)M*
-r���(vr%��gȗ2nK��
-j'J�v
�u)���
�P�P��MQ�/hN��&�0jO����2������f�ښ��`#�l^P����;|,���w�Kv~��O�R�2��ԉmA�-��XH!����Lfkۮ��҉��~7�I���*iy�"g��b��&�(^ʆ�
��'�nm��! W��D��(�ʛ�l��HE�8
kN�.�4g"��kS?�� ��L�u��1ަk���H��
-w�b�6��p�*�À�� ���4B��=`�Q�G�p���ծN��H�[�G-u(߀ڱ|D-�=�D8qD�g\�"$����*��L[�
-�
x�GS!�d���,%��<��.�S�q���LG|�>wv�?&]�T����'R|שg�Kp�
�<��l�t#�
-B��p�ݧ�w� @
{endstream
+x��V�o�0��@U����I��V�i�r[{Ȉ� ���i�������0���

��}��{Η�`x��Ř�rn�g������G�i����<���	�-�>�aZ�6�����G�y
��aܷ� �"?E��RY�
j/
7
b��r\X)�����boi21����GP��.�Ga��RFA(��;)�%
/��_=)!�h��Wz��k��r��!�%v&��,_�RaZ���7z� (+2Pr�P_�`E����(F�q,mE̴���i�;
ʆ|��)c3�TG�d��9�Z�cng:���g�B����	�,�F<5#.{`��cڝg\[lt��bO�.��ҠyU9ّ��p��h���u�TB)顼Z��Q�:��b6!�:Ba� E�cXe`U;xA�T�)Ș����ڻ��ϵ�ܨ�y�[�o
+�u7XZ�٘��˛��WN��@� ��	D^��W�4�
��qkm{�"�A�>OϽ=%V��V��T�����Yy��6�*�MJ%�
�w�K��I>�J��뤊.�"� ���������ڽ�wcs��A��ȟ�ꤛ\8
+Q��������dd�h�������@�RqE�ۅ�At�˩Y�����_ay�+,�� ��ľ���gWNo�2�����
����E���(7#t�YS�B7������n���7k�h��\������:�OYo�S mR�6�ܾ��r/�c�
Y�\7Uy1�}P܎o�dXendstream
 endobj
-2724 0 obj <<
+2954 0 obj <<
 /Type /Page
-/Contents 2725 0 R
-/Resources 2723 0 R
+/Contents 2955 0 R
+/Resources 2953 0 R
 /MediaBox [0 0 612 792]
-/Parent 2722 0 R
-/Annots [ 2728 0 R ]
+/Parent 2933 0 R
 >> endobj
-2728 0 obj <<
+2956 0 obj <<
+/D [2954 0 R /XYZ 72 720 null]
+>> endobj
+2953 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+2959 0 obj <<
+/Length 835       
+/Filter /FlateDecode
+>>
+stream
+xڝVMo�0
��W=���X�?�m��-�
Mw�v�l�
��i�t���Hʖ�t�@�DR�#E=Yx1��'��%=��QZx�j��yqTdY.�ĝ��n"x'
�W2�N���Ļ액��?�&�sYzBDe�z��Wd���Jd�(�Y�ŗ�� L�ҿ��Xø	B%S��{+
��H�9(�_�p
��1��0�0t|�]x"�JU�2Jd��κ
ۯx�Yk
���
5m��o�nI�
6�5��7��}����x��h���dN�s��t5XT\����-G^�
G��_�4�U�9�$��r�kC��(I2,�(Y%g	�g�
Ag�����:�V���S@�4%��mi��)[J\jݐn7����Ƒ���J
v�"�X$���<�:��������.q�:A�>����hL몷�c5{6���&�#{���C���vi�
��+w�[�
�k�eC��P4ڸp�=�a�3���q5=Y�0
+x��9&6y��T�/l<�N�%���4
�4{_���展�t���7��ԙZ
���9�J�hk�l8��r-���k�A���U
ba}=��c�e��� �S�5�l90_�7����D�;�;
+���u�ܔ�hp�8�_�
�
��r! l�ѻ2�+��B��|���
���G�*��k���v`[�*1
M�����XĹe�%���[YR3{�}
�om
�۟^�g_ON��	��Q�\[��̯��eyG�΋f\]��a�����6�-Q�	p��㒛����ja�d�
����zJ���Zl-^���Lo�<�VN��	}x�iTf�e$�3�~�d0�u'g��E<+endstream
+endobj
+2958 0 obj <<
+/Type /Page
+/Contents 2959 0 R
+/Resources 2957 0 R
+/MediaBox [0 0 612 792]
+/Parent 2933 0 R
+/Annots [ 2962 0 R ]
+>> endobj
+2952 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/normal-ExamplesPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 2963 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 2964 0 R /F2 2965 0 R /F3 2966 0 R >>
+/ExtGState <<
+>>>>
+/Length 2967 0 R
+>>
+stream
+q
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 329.24 m
+52.95 329.24 l
+53.65 329.24 l
+54.35 329.24 l
+55.04 329.24 l
+55.74 329.24 l
+56.44 329.25 l
+57.13 329.25 l
+57.83 329.25 l
+58.53 329.25 l
+59.22 329.26 l
+59.92 329.26 l
+60.62 329.27 l
+61.31 329.27 l
+62.01 329.28 l
+62.71 329.28 l
+63.40 329.29 l
+64.10 329.30 l
+64.80 329.30 l
+65.49 329.31 l
+66.19 329.32 l
+66.89 329.33 l
+67.58 329.34 l
+68.28 329.35 l
+68.98 329.37 l
+69.67 329.38 l
+70.37 329.39 l
+71.07 329.41 l
+71.76 329.42 l
+72.46 329.44 l
+73.16 329.45 l
+73.85 329.47 l
+74.55 329.48 l
+75.25 329.50 l
+75.94 329.51 l
+76.64 329.52 l
+77.34 329.54 l
+78.03 329.55 l
+78.73 329.56 l
+79.43 329.58 l
+80.12 329.59 l
+80.82 329.60 l
+81.52 329.61 l
+82.21 329.62 l
+82.91 329.63 l
+83.61 329.63 l
+84.30 329.64 l
+85.00 329.65 l
+85.70 329.65 l
+86.39 329.66 l
+87.09 329.66 l
+87.79 329.67 l
+88.48 329.68 l
+89.18 329.68 l
+89.88 329.69 l
+90.57 329.70 l
+91.27 329.71 l
+91.97 329.72 l
+92.66 329.73 l
+93.36 329.75 l
+94.06 329.76 l
+94.75 329.78 l
+95.45 329.80 l
+96.15 329.82 l
+96.84 329.85 l
+97.54 329.87 l
+98.24 329.90 l
+98.93 329.94 l
+99.63 329.97 l
+100.33 330.01 l
+101.02 330.05 l
+101.72 330.10 l
+102.42 330.15 l
+103.11 330.20 l
+103.81 330.25 l
+104.51 330.31 l
+105.20 330.37 l
+105.90 330.43 l
+106.60 330.50 l
+107.29 330.58 l
+107.99 330.65 l
+108.69 330.73 l
+109.38 330.82 l
+110.08 330.91 l
+110.78 331.00 l
+111.47 331.10 l
+112.17 331.21 l
+112.87 331.32 l
+113.56 331.44 l
+114.26 331.56 l
+114.96 331.69 l
+115.65 331.82 l
+116.35 331.96 l
+117.05 332.10 l
+117.74 332.25 l
+118.44 332.41 l
+119.14 332.57 l
+119.83 332.73 l
+120.53 332.90 l
+121.23 333.07 l
+121.92 333.25 l
+122.62 333.43 l
+123.32 333.62 l
+124.01 333.80 l
+124.71 333.99 l
+125.41 334.19 l
+126.10 334.38 l
+126.80 334.58 l
+127.50 334.78 l
+128.19 334.98 l
+128.89 335.19 l
+129.59 335.39 l
+130.28 335.60 l
+130.98 335.81 l
+131.68 336.02 l
+132.37 336.23 l
+133.07 336.45 l
+133.77 336.67 l
+134.46 336.89 l
+135.16 337.11 l
+135.86 337.34 l
+136.55 337.57 l
+137.25 337.81 l
+137.95 338.05 l
+138.64 338.29 l
+139.34 338.55 l
+140.04 338.80 l
+140.73 339.07 l
+141.43 339.34 l
+142.13 339.61 l
+142.82 339.90 l
+143.52 340.19 l
+144.22 340.49 l
+144.91 340.80 l
+145.61 341.11 l
+146.31 341.43 l
+147.00 341.76 l
+147.70 342.10 l
+148.40 342.45 l
+149.09 342.80 l
+149.79 343.16 l
+150.49 343.52 l
+151.18 343.89 l
+151.88 344.27 l
+152.58 344.64 l
+153.27 345.03 l
+153.97 345.41 l
+154.67 345.80 l
+155.36 346.19 l
+156.06 346.58 l
+156.76 346.97 l
+157.45 347.35 l
+158.15 347.74 l
+158.85 348.13 l
+159.54 348.51 l
+160.24 348.90 l
+160.94 349.28 l
+161.63 349.66 l
+162.33 350.03 l
+163.03 350.41 l
+163.72 350.79 l
+164.42 351.17 l
+165.12 351.54 l
+165.81 351.92 l
+166.51 352.31 l
+167.21 352.69 l
+167.90 353.08 l
+168.60 353.48 l
+169.30 353.88 l
+169.99 354.28 l
+170.69 354.70 l
+171.39 355.12 l
+172.08 355.55 l
+172.78 355.99 l
+173.48 356.43 l
+174.17 356.89 l
+174.87 357.36 l
+175.57 357.84 l
+176.26 358.32 l
+176.96 358.82 l
+177.66 359.33 l
+178.35 359.84 l
+179.05 360.36 l
+179.75 360.90 l
+180.44 361.44 l
+181.14 361.99 l
+181.84 362.55 l
+182.53 363.12 l
+183.23 363.69 l
+183.93 364.27 l
+184.62 364.87 l
+185.32 365.46 l
+186.02 366.07 l
+186.71 366.69 l
+187.41 367.31 l
+188.11 367.95 l
+188.80 368.59 l
+189.50 369.24 l
+190.20 369.90 l
+190.89 370.58 l
+191.59 371.26 l
+192.29 371.96 l
+192.98 372.67 l
+193.68 373.39 l
+194.38 374.12 l
+195.07 374.86 l
+195.77 375.62 l
+196.47 376.39 l
+197.16 377.17 l
+197.86 377.96 l
+198.56 378.77 l
+199.25 379.58 l
+199.95 380.41 l
+200.65 381.24 l
+201.34 382.09 l
+202.04 382.94 l
+202.74 383.80 l
+203.43 384.67 l
+204.13 385.55 l
+204.83 386.43 l
+205.52 387.31 l
+206.22 388.20 l
+206.92 389.09 l
+207.61 389.98 l
+208.31 390.86 l
+209.01 391.75 l
+209.70 392.63 l
+210.40 393.51 l
+211.10 394.38 l
+211.79 395.24 l
+212.49 396.09 l
+213.19 396.93 l
+213.88 397.75 l
+214.58 398.56 l
+215.28 399.35 l
+215.97 400.12 l
+216.67 400.87 l
+217.37 401.59 l
+218.06 402.29 l
+218.76 402.97 l
+219.46 403.62 l
+220.15 404.23 l
+220.85 404.81 l
+221.55 405.37 l
+222.24 405.89 l
+222.94 406.39 l
+223.64 406.84 l
+224.33 407.25 l
+225.03 407.64 l
+225.73 407.99 l
+226.42 408.31 l
+227.12 408.60 l
+227.82 408.84 l
+228.51 409.06 l
+229.21 409.25 l
+229.91 409.41 l
+230.60 409.53 l
+231.30 409.63 l
+232.00 409.70 l
+232.69 409.75 l
+233.39 409.77 l
+234.09 409.77 l
+234.78 409.75 l
+235.48 409.71 l
+236.18 409.65 l
+236.87 409.57 l
+237.57 409.48 l
+238.27 409.37 l
+238.96 409.24 l
+239.66 409.10 l
+240.36 408.95 l
+241.05 408.78 l
+241.75 408.60 l
+242.45 408.40 l
+243.14 408.19 l
+243.84 407.97 l
+244.54 407.73 l
+245.23 407.47 l
+245.93 407.20 l
+246.63 406.91 l
+247.32 406.60 l
+248.02 406.27 l
+248.72 405.92 l
+249.41 405.55 l
+250.11 405.15 l
+250.81 404.74 l
+251.50 404.31 l
+252.20 403.85 l
+252.90 403.37 l
+253.59 402.87 l
+254.29 402.35 l
+254.99 401.81 l
+255.68 401.25 l
+256.38 400.68 l
+257.08 400.09 l
+257.77 399.49 l
+258.47 398.88 l
+259.17 398.27 l
+259.86 397.65 l
+260.56 397.03 l
+261.26 396.41 l
+261.95 395.79 l
+262.65 395.18 l
+263.35 394.58 l
+264.04 393.99 l
+264.74 393.41 l
+265.44 392.85 l
+266.13 392.31 l
+266.83 391.78 l
+267.53 391.27 l
+268.22 390.78 l
+268.92 390.31 l
+269.62 389.86 l
+270.31 389.42 l
+271.01 389.00 l
+271.71 388.60 l
+272.40 388.22 l
+273.10 387.84 l
+273.80 387.47 l
+274.49 387.12 l
+275.19 386.76 l
+275.89 386.41 l
+276.58 386.06 l
+277.28 385.71 l
+277.98 385.36 l
+278.67 384.99 l
+279.37 384.62 l
+280.07 384.23 l
+280.76 383.83 l
+281.46 383.41 l
+282.16 382.98 l
+282.85 382.52 l
+283.55 382.05 l
+284.25 381.55 l
+284.94 381.03 l
+285.64 380.49 l
+286.34 379.92 l
+287.03 379.34 l
+287.73 378.73 l
+288.43 378.10 l
+289.12 377.45 l
+289.82 376.77 l
+290.52 376.08 l
+291.21 375.37 l
+291.91 374.65 l
+292.61 373.92 l
+293.30 373.17 l
+294.00 372.41 l
+294.70 371.64 l
+295.39 370.87 l
+296.09 370.09 l
+296.79 369.31 l
+297.48 368.53 l
+298.18 367.75 l
+298.88 366.98 l
+299.57 366.21 l
+300.27 365.45 l
+300.97 364.70 l
+301.67 363.95 l
+302.36 363.22 l
+303.06 362.50 l
+303.76 361.79 l
+304.45 361.09 l
+305.15 360.41 l
+305.85 359.74 l
+306.54 359.07 l
+307.24 358.42 l
+307.94 357.79 l
+308.63 357.16 l
+309.33 356.55 l
+310.03 355.94 l
+310.72 355.35 l
+311.42 354.76 l
+312.12 354.18 l
+312.81 353.61 l
+313.51 353.04 l
+314.21 352.48 l
+314.90 351.93 l
+315.60 351.38 l
+316.30 350.84 l
+316.99 350.30 l
+317.69 349.77 l
+318.39 349.24 l
+319.08 348.72 l
+319.78 348.21 l
+320.48 347.71 l
+321.17 347.21 l
+321.87 346.72 l
+322.57 346.24 l
+323.26 345.77 l
+323.96 345.31 l
+324.66 344.86 l
+325.35 344.42 l
+326.05 344.00 l
+326.75 343.58 l
+327.44 343.18 l
+328.14 342.79 l
+328.84 342.41 l
+329.53 342.05 l
+330.23 341.70 l
+330.93 341.36 l
+331.62 341.04 l
+332.32 340.72 l
+333.02 340.42 l
+333.71 340.13 l
+334.41 339.85 l
+335.11 339.57 l
+335.80 339.31 l
+336.50 339.05 l
+337.20 338.81 l
+337.89 338.57 l
+338.59 338.33 l
+339.29 338.10 l
+339.98 337.87 l
+340.68 337.65 l
+341.38 337.43 l
+342.07 337.22 l
+342.77 337.00 l
+343.47 336.79 l
+344.16 336.58 l
+344.86 336.37 l
+345.56 336.16 l
+346.25 335.95 l
+346.95 335.74 l
+347.65 335.54 l
+348.34 335.33 l
+349.04 335.13 l
+349.74 334.93 l
+350.43 334.74 l
+351.13 334.54 l
+351.83 334.35 l
+352.52 334.16 l
+353.22 333.98 l
+353.92 333.80 l
+354.61 333.63 l
+355.31 333.46 l
+356.01 333.30 l
+356.70 333.14 l
+357.40 332.99 l
+358.10 332.84 l
+358.79 332.71 l
+359.49 332.57 l
+360.19 332.45 l
+360.88 332.33 l
+361.58 332.21 l
+362.28 332.10 l
+362.97 331.99 l
+363.67 331.89 l
+364.37 331.80 l
+365.06 331.70 l
+365.76 331.62 l
+366.46 331.53 l
+367.15 331.45 l
+367.85 331.37 l
+368.55 331.29 l
+369.24 331.21 l
+369.94 331.14 l
+370.64 331.07 l
+371.33 331.00 l
+372.03 330.92 l
+372.73 330.85 l
+373.42 330.78 l
+374.12 330.72 l
+374.82 330.65 l
+375.51 330.58 l
+376.21 330.51 l
+376.91 330.45 l
+377.60 330.38 l
+378.30 330.32 l
+379.00 330.25 l
+379.69 330.19 l
+380.39 330.13 l
+381.09 330.07 l
+381.78 330.02 l
+382.48 329.96 l
+383.18 329.91 l
+383.87 329.86 l
+384.57 329.81 l
+385.27 329.76 l
+385.96 329.72 l
+386.66 329.67 l
+387.36 329.63 l
+388.05 329.60 l
+388.75 329.56 l
+389.45 329.53 l
+390.14 329.50 l
+390.84 329.47 l
+391.54 329.45 l
+392.23 329.42 l
+392.93 329.40 l
+393.63 329.38 l
+394.32 329.36 l
+395.02 329.35 l
+395.72 329.33 l
+396.41 329.32 l
+397.11 329.31 l
+397.81 329.30 l
+398.50 329.29 l
+399.20 329.28 l
+399.90 329.27 l
+400.59 329.27 l
+401.29 329.26 l
+401.99 329.26 l
+402.68 329.25 l
+403.38 329.25 l
+404.08 329.25 l
+404.77 329.25 l
+405.47 329.24 l
+406.17 329.24 l
+406.86 329.24 l
+407.56 329.24 l
+408.26 329.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+139.05 326.02 m 379.28 326.02 l S
+139.05 326.02 m 139.05 323.64 l S
+259.16 326.02 m 259.16 323.64 l S
+379.28 326.02 m 379.28 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 133.49 312.71 Tm (5.0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 253.60 312.71 Tm (5.5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 373.72 312.71 Tm (6.0) Tj
+ET
+38.02 329.23 m 38.02 406.25 l S
+38.02 329.23 m 35.64 329.23 l S
+38.02 348.49 m 35.64 348.49 l S
+38.02 367.74 m 35.64 367.74 l S
+38.02 386.99 m 35.64 386.99 l S
+38.02 406.25 m 35.64 406.25 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 323.67 Tm (0.0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 342.93 Tm (0.5) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 362.18 Tm (1.0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 381.43 Tm (1.5) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 400.69 Tm (2.0) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 418.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 356.17 Tm (Density) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.23 m 422.50 329.23 l S
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 185.24 m
+52.95 185.24 l
+53.65 185.25 l
+54.35 185.25 l
+55.04 185.25 l
+55.74 185.26 l
+56.44 185.26 l
+57.13 185.27 l
+57.83 185.28 l
+58.53 185.28 l
+59.22 185.29 l
+59.92 185.31 l
+60.62 185.32 l
+61.31 185.34 l
+62.01 185.35 l
+62.71 185.37 l
+63.40 185.39 l
+64.10 185.42 l
+64.80 185.45 l
+65.49 185.48 l
+66.19 185.51 l
+66.89 185.55 l
+67.58 185.59 l
+68.28 185.64 l
+68.98 185.69 l
+69.67 185.74 l
+70.37 185.79 l
+71.07 185.85 l
+71.76 185.91 l
+72.46 185.98 l
+73.16 186.05 l
+73.85 186.12 l
+74.55 186.19 l
+75.25 186.26 l
+75.94 186.33 l
+76.64 186.41 l
+77.34 186.48 l
+78.03 186.55 l
+78.73 186.62 l
+79.43 186.69 l
+80.12 186.75 l
+80.82 186.81 l
+81.52 186.87 l
+82.21 186.92 l
+82.91 186.96 l
+83.61 187.00 l
+84.30 187.04 l
+85.00 187.07 l
+85.70 187.09 l
+86.39 187.10 l
+87.09 187.11 l
+87.79 187.11 l
+88.48 187.11 l
+89.18 187.10 l
+89.88 187.08 l
+90.57 187.06 l
+91.27 187.03 l
+91.97 187.00 l
+92.66 186.97 l
+93.36 186.93 l
+94.06 186.90 l
+94.75 186.86 l
+95.45 186.82 l
+96.15 186.78 l
+96.84 186.74 l
+97.54 186.71 l
+98.24 186.67 l
+98.93 186.65 l
+99.63 186.62 l
+100.33 186.60 l
+101.02 186.58 l
+101.72 186.57 l
+102.42 186.57 l
+103.11 186.58 l
+103.81 186.59 l
+104.51 186.61 l
+105.20 186.63 l
+105.90 186.67 l
+106.60 186.71 l
+107.29 186.76 l
+107.99 186.82 l
+108.69 186.89 l
+109.38 186.97 l
+110.08 187.05 l
+110.78 187.15 l
+111.47 187.25 l
+112.17 187.37 l
+112.87 187.49 l
+113.56 187.62 l
+114.26 187.76 l
+114.96 187.91 l
+115.65 188.07 l
+116.35 188.24 l
+117.05 188.41 l
+117.74 188.60 l
+118.44 188.80 l
+119.14 189.01 l
+119.83 189.23 l
+120.53 189.46 l
+121.23 189.70 l
+121.92 189.95 l
+122.62 190.21 l
+123.32 190.49 l
+124.01 190.77 l
+124.71 191.07 l
+125.41 191.38 l
+126.10 191.70 l
+126.80 192.03 l
+127.50 192.37 l
+128.19 192.73 l
+128.89 193.09 l
+129.59 193.47 l
+130.28 193.85 l
+130.98 194.25 l
+131.68 194.65 l
+132.37 195.06 l
+133.07 195.47 l
+133.77 195.89 l
+134.46 196.32 l
+135.16 196.75 l
+135.86 197.18 l
+136.55 197.62 l
+137.25 198.06 l
+137.95 198.50 l
+138.64 198.95 l
+139.34 199.39 l
+140.04 199.83 l
+140.73 200.28 l
+141.43 200.72 l
+142.13 201.17 l
+142.82 201.61 l
+143.52 202.06 l
+144.22 202.51 l
+144.91 202.96 l
+145.61 203.41 l
+146.31 203.87 l
+147.00 204.33 l
+147.70 204.80 l
+148.40 205.28 l
+149.09 205.77 l
+149.79 206.26 l
+150.49 206.77 l
+151.18 207.29 l
+151.88 207.83 l
+152.58 208.39 l
+153.27 208.96 l
+153.97 209.55 l
+154.67 210.16 l
+155.36 210.80 l
+156.06 211.45 l
+156.76 212.13 l
+157.45 212.83 l
+158.15 213.56 l
+158.85 214.31 l
+159.54 215.08 l
+160.24 215.88 l
+160.94 216.70 l
+161.63 217.54 l
+162.33 218.40 l
+163.03 219.28 l
+163.72 220.17 l
+164.42 221.08 l
+165.12 222.01 l
+165.81 222.94 l
+166.51 223.88 l
+167.21 224.83 l
+167.90 225.78 l
+168.60 226.73 l
+169.30 227.68 l
+169.99 228.62 l
+170.69 229.55 l
+171.39 230.47 l
+172.08 231.38 l
+172.78 232.28 l
+173.48 233.15 l
+174.17 234.01 l
+174.87 234.84 l
+175.57 235.65 l
+176.26 236.43 l
+176.96 237.19 l
+177.66 237.92 l
+178.35 238.61 l
+179.05 239.28 l
+179.75 239.91 l
+180.44 240.52 l
+181.14 241.10 l
+181.84 241.64 l
+182.53 242.15 l
+183.23 242.64 l
+183.93 243.10 l
+184.62 243.53 l
+185.32 243.94 l
+186.02 244.32 l
+186.71 244.69 l
+187.41 245.03 l
+188.11 245.36 l
+188.80 245.68 l
+189.50 245.98 l
+190.20 246.28 l
+190.89 246.57 l
+191.59 246.85 l
+192.29 247.13 l
+192.98 247.42 l
+193.68 247.70 l
+194.38 248.00 l
+195.07 248.29 l
+195.77 248.60 l
+196.47 248.92 l
+197.16 249.25 l
+197.86 249.59 l
+198.56 249.95 l
+199.25 250.32 l
+199.95 250.71 l
+200.65 251.12 l
+201.34 251.55 l
+202.04 251.99 l
+202.74 252.45 l
+203.43 252.92 l
+204.13 253.41 l
+204.83 253.92 l
+205.52 254.44 l
+206.22 254.97 l
+206.92 255.51 l
+207.61 256.06 l
+208.31 256.62 l
+209.01 257.18 l
+209.70 257.74 l
+210.40 258.31 l
+211.10 258.87 l
+211.79 259.42 l
+212.49 259.97 l
+213.19 260.51 l
+213.88 261.03 l
+214.58 261.54 l
+215.28 262.03 l
+215.97 262.50 l
+216.67 262.94 l
+217.37 263.36 l
+218.06 263.75 l
+218.76 264.12 l
+219.46 264.44 l
+220.15 264.74 l
+220.85 265.00 l
+221.55 265.22 l
+222.24 265.41 l
+222.94 265.56 l
+223.64 265.67 l
+224.33 265.74 l
+225.03 265.77 l
+225.73 265.77 l
+226.42 265.72 l
+227.12 265.63 l
+227.82 265.50 l
+228.51 265.34 l
+229.21 265.13 l
+229.91 264.90 l
+230.60 264.62 l
+231.30 264.30 l
+232.00 263.96 l
+232.69 263.58 l
+233.39 263.17 l
+234.09 262.73 l
+234.78 262.25 l
+235.48 261.75 l
+236.18 261.23 l
+236.87 260.69 l
+237.57 260.13 l
+238.27 259.55 l
+238.96 258.95 l
+239.66 258.34 l
+240.36 257.72 l
+241.05 257.10 l
+241.75 256.47 l
+242.45 255.83 l
+243.14 255.20 l
+243.84 254.57 l
+244.54 253.95 l
+245.23 253.33 l
+245.93 252.72 l
+246.63 252.12 l
+247.32 251.53 l
+248.02 250.95 l
+248.72 250.38 l
+249.41 249.82 l
+250.11 249.28 l
+250.81 248.74 l
+251.50 248.21 l
+252.20 247.69 l
+252.90 247.18 l
+253.59 246.66 l
+254.29 246.16 l
+254.99 245.65 l
+255.68 245.13 l
+256.38 244.62 l
+257.08 244.09 l
+257.77 243.56 l
+258.47 243.01 l
+259.17 242.45 l
+259.86 241.88 l
+260.56 241.30 l
+261.26 240.69 l
+261.95 240.07 l
+262.65 239.43 l
+263.35 238.77 l
+264.04 238.10 l
+264.74 237.41 l
+265.44 236.70 l
+266.13 235.98 l
+266.83 235.25 l
+267.53 234.51 l
+268.22 233.76 l
+268.92 233.00 l
+269.62 232.24 l
+270.31 231.47 l
+271.01 230.71 l
+271.71 229.94 l
+272.40 229.18 l
+273.10 228.43 l
+273.80 227.68 l
+274.49 226.93 l
+275.19 226.20 l
+275.89 225.47 l
+276.58 224.76 l
+277.28 224.06 l
+277.98 223.36 l
+278.67 222.68 l
+279.37 222.01 l
+280.07 221.36 l
+280.76 220.71 l
+281.46 220.08 l
+282.16 219.46 l
+282.85 218.84 l
+283.55 218.24 l
+284.25 217.65 l
+284.94 217.06 l
+285.64 216.49 l
+286.34 215.92 l
+287.03 215.36 l
+287.73 214.81 l
+288.43 214.27 l
+289.12 213.73 l
+289.82 213.20 l
+290.52 212.67 l
+291.21 212.15 l
+291.91 211.63 l
+292.61 211.12 l
+293.30 210.61 l
+294.00 210.10 l
+294.70 209.60 l
+295.39 209.09 l
+296.09 208.59 l
+296.79 208.09 l
+297.48 207.60 l
+298.18 207.10 l
+298.88 206.60 l
+299.57 206.10 l
+300.27 205.61 l
+300.97 205.11 l
+301.67 204.62 l
+302.36 204.12 l
+303.06 203.62 l
+303.76 203.13 l
+304.45 202.64 l
+305.15 202.14 l
+305.85 201.66 l
+306.54 201.17 l
+307.24 200.69 l
+307.94 200.21 l
+308.63 199.74 l
+309.33 199.27 l
+310.03 198.81 l
+310.72 198.36 l
+311.42 197.91 l
+312.12 197.48 l
+312.81 197.05 l
+313.51 196.63 l
+314.21 196.22 l
+314.90 195.83 l
+315.60 195.44 l
+316.30 195.06 l
+316.99 194.69 l
+317.69 194.34 l
+318.39 193.99 l
+319.08 193.66 l
+319.78 193.33 l
+320.48 193.01 l
+321.17 192.71 l
+321.87 192.41 l
+322.57 192.12 l
+323.26 191.84 l
+323.96 191.57 l
+324.66 191.31 l
+325.35 191.06 l
+326.05 190.81 l
+326.75 190.58 l
+327.44 190.35 l
+328.14 190.13 l
+328.84 189.92 l
+329.53 189.71 l
+330.23 189.52 l
+330.93 189.33 l
+331.62 189.15 l
+332.32 188.98 l
+333.02 188.82 l
+333.71 188.66 l
+334.41 188.52 l
+335.11 188.38 l
+335.80 188.25 l
+336.50 188.12 l
+337.20 188.01 l
+337.89 187.90 l
+338.59 187.80 l
+339.29 187.70 l
+339.98 187.61 l
+340.68 187.53 l
+341.38 187.45 l
+342.07 187.38 l
+342.77 187.31 l
+343.47 187.25 l
+344.16 187.19 l
+344.86 187.13 l
+345.56 187.07 l
+346.25 187.02 l
+346.95 186.97 l
+347.65 186.92 l
+348.34 186.87 l
+349.04 186.82 l
+349.74 186.78 l
+350.43 186.73 l
+351.13 186.68 l
+351.83 186.63 l
+352.52 186.58 l
+353.22 186.54 l
+353.92 186.49 l
+354.61 186.44 l
+355.31 186.39 l
+356.01 186.34 l
+356.70 186.29 l
+357.40 186.24 l
+358.10 186.20 l
+358.79 186.15 l
+359.49 186.10 l
+360.19 186.06 l
+360.88 186.02 l
+361.58 185.98 l
+362.28 185.94 l
+362.97 185.90 l
+363.67 185.87 l
+364.37 185.84 l
+365.06 185.81 l
+365.76 185.79 l
+366.46 185.76 l
+367.15 185.74 l
+367.85 185.72 l
+368.55 185.71 l
+369.24 185.70 l
+369.94 185.69 l
+370.64 185.68 l
+371.33 185.67 l
+372.03 185.66 l
+372.73 185.66 l
+373.42 185.65 l
+374.12 185.65 l
+374.82 185.65 l
+375.51 185.64 l
+376.21 185.64 l
+376.91 185.63 l
+377.60 185.63 l
+378.30 185.62 l
+379.00 185.62 l
+379.69 185.61 l
+380.39 185.60 l
+381.09 185.59 l
+381.78 185.58 l
+382.48 185.57 l
+383.18 185.56 l
+383.87 185.54 l
+384.57 185.53 l
+385.27 185.52 l
+385.96 185.50 l
+386.66 185.49 l
+387.36 185.47 l
+388.05 185.46 l
+388.75 185.44 l
+389.45 185.43 l
+390.14 185.41 l
+390.84 185.40 l
+391.54 185.38 l
+392.23 185.37 l
+392.93 185.36 l
+393.63 185.34 l
+394.32 185.33 l
+395.02 185.32 l
+395.72 185.31 l
+396.41 185.30 l
+397.11 185.29 l
+397.81 185.29 l
+398.50 185.28 l
+399.20 185.27 l
+399.90 185.27 l
+400.59 185.26 l
+401.29 185.26 l
+401.99 185.25 l
+402.68 185.25 l
+403.38 185.25 l
+404.08 185.25 l
+404.77 185.24 l
+405.47 185.24 l
+406.17 185.24 l
+406.86 185.24 l
+407.56 185.24 l
+408.26 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+56.84 182.02 m 375.45 182.02 l S
+56.84 182.02 m 56.84 179.64 l S
+136.49 182.02 m 136.49 179.64 l S
+216.14 182.02 m 216.14 179.64 l S
+295.80 182.02 m 295.80 179.64 l S
+375.45 182.02 m 375.45 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 52.28 168.71 Tm (-5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 134.27 168.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 213.92 168.71 Tm (5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 291.35 168.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 371.00 168.71 Tm (15) Tj
+ET
+38.02 185.23 m 38.02 264.14 l S
+38.02 185.23 m 35.64 185.23 l S
+38.02 196.51 m 35.64 196.51 l S
+38.02 207.78 m 35.64 207.78 l S
+38.02 219.05 m 35.64 219.05 l S
+38.02 230.32 m 35.64 230.32 l S
+38.02 241.59 m 35.64 241.59 l S
+38.02 252.87 m 35.64 252.87 l S
+38.02 264.14 m 35.64 264.14 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 177.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 199.99 Tm (0.04) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 222.54 Tm (0.08) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 245.08 Tm (0.12) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 274.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.23 m 422.50 185.23 l S
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 41.24 m
+52.95 41.24 l
+53.65 41.24 l
+54.35 41.24 l
+55.04 41.24 l
+55.74 41.24 l
+56.44 41.25 l
+57.13 41.25 l
+57.83 41.25 l
+58.53 41.26 l
+59.22 41.26 l
+59.92 41.26 l
+60.62 41.27 l
+61.31 41.28 l
+62.01 41.28 l
+62.71 41.29 l
+63.40 41.30 l
+64.10 41.31 l
+64.80 41.32 l
+65.49 41.33 l
+66.19 41.34 l
+66.89 41.35 l
+67.58 41.36 l
+68.28 41.38 l
+68.98 41.39 l
+69.67 41.41 l
+70.37 41.42 l
+71.07 41.44 l
+71.76 41.45 l
+72.46 41.47 l
+73.16 41.48 l
+73.85 41.50 l
+74.55 41.52 l
+75.25 41.53 l
+75.94 41.55 l
+76.64 41.56 l
+77.34 41.57 l
+78.03 41.58 l
+78.73 41.60 l
+79.43 41.61 l
+80.12 41.61 l
+80.82 41.62 l
+81.52 41.63 l
+82.21 41.63 l
+82.91 41.64 l
+83.61 41.64 l
+84.30 41.64 l
+85.00 41.64 l
+85.70 41.64 l
+86.39 41.64 l
+87.09 41.64 l
+87.79 41.64 l
+88.48 41.64 l
+89.18 41.64 l
+89.88 41.65 l
+90.57 41.65 l
+91.27 41.65 l
+91.97 41.66 l
+92.66 41.66 l
+93.36 41.67 l
+94.06 41.68 l
+94.75 41.69 l
+95.45 41.71 l
+96.15 41.72 l
+96.84 41.74 l
+97.54 41.75 l
+98.24 41.77 l
+98.93 41.79 l
+99.63 41.81 l
+100.33 41.83 l
+101.02 41.86 l
+101.72 41.88 l
+102.42 41.90 l
+103.11 41.92 l
+103.81 41.94 l
+104.51 41.97 l
+105.20 41.99 l
+105.90 42.01 l
+106.60 42.02 l
+107.29 42.04 l
+107.99 42.05 l
+108.69 42.07 l
+109.38 42.08 l
+110.08 42.09 l
+110.78 42.10 l
+111.47 42.11 l
+112.17 42.11 l
+112.87 42.11 l
+113.56 42.12 l
+114.26 42.12 l
+114.96 42.12 l
+115.65 42.12 l
+116.35 42.12 l
+117.05 42.11 l
+117.74 42.11 l
+118.44 42.11 l
+119.14 42.11 l
+119.83 42.11 l
+120.53 42.11 l
+121.23 42.11 l
+121.92 42.11 l
+122.62 42.12 l
+123.32 42.12 l
+124.01 42.13 l
+124.71 42.14 l
+125.41 42.16 l
+126.10 42.18 l
+126.80 42.20 l
+127.50 42.23 l
+128.19 42.26 l
+128.89 42.30 l
+129.59 42.34 l
+130.28 42.39 l
+130.98 42.45 l
+131.68 42.51 l
+132.37 42.58 l
+133.07 42.65 l
+133.77 42.73 l
+134.46 42.82 l
+135.16 42.92 l
+135.86 43.02 l
+136.55 43.14 l
+137.25 43.26 l
+137.95 43.38 l
+138.64 43.52 l
+139.34 43.67 l
+140.04 43.82 l
+140.73 43.99 l
+141.43 44.16 l
+142.13 44.34 l
+142.82 44.53 l
+143.52 44.73 l
+144.22 44.93 l
+144.91 45.15 l
+145.61 45.37 l
+146.31 45.60 l
+147.00 45.84 l
+147.70 46.09 l
+148.40 46.35 l
+149.09 46.61 l
+149.79 46.88 l
+150.49 47.16 l
+151.18 47.45 l
+151.88 47.75 l
+152.58 48.05 l
+153.27 48.36 l
+153.97 48.69 l
+154.67 49.02 l
+155.36 49.36 l
+156.06 49.72 l
+156.76 50.08 l
+157.45 50.46 l
+158.15 50.85 l
+158.85 51.26 l
+159.54 51.68 l
+160.24 52.12 l
+160.94 52.58 l
+161.63 53.06 l
+162.33 53.55 l
+163.03 54.07 l
+163.72 54.61 l
+164.42 55.17 l
+165.12 55.76 l
+165.81 56.37 l
+166.51 57.00 l
+167.21 57.65 l
+167.90 58.32 l
+168.60 59.01 l
+169.30 59.72 l
+169.99 60.45 l
+170.69 61.19 l
+171.39 61.95 l
+172.08 62.71 l
+172.78 63.48 l
+173.48 64.26 l
+174.17 65.04 l
+174.87 65.81 l
+175.57 66.58 l
+176.26 67.34 l
+176.96 68.10 l
+177.66 68.83 l
+178.35 69.56 l
+179.05 70.27 l
+179.75 70.96 l
+180.44 71.63 l
+181.14 72.28 l
+181.84 72.90 l
+182.53 73.51 l
+183.23 74.10 l
+183.93 74.66 l
+184.62 75.21 l
+185.32 75.73 l
+186.02 76.24 l
+186.71 76.73 l
+187.41 77.21 l
+188.11 77.68 l
+188.80 78.14 l
+189.50 78.59 l
+190.20 79.04 l
+190.89 79.49 l
+191.59 79.93 l
+192.29 80.38 l
+192.98 80.84 l
+193.68 81.30 l
+194.38 81.77 l
+195.07 82.26 l
+195.77 82.76 l
+196.47 83.27 l
+197.16 83.81 l
+197.86 84.37 l
+198.56 84.94 l
+199.25 85.54 l
+199.95 86.16 l
+200.65 86.81 l
+201.34 87.48 l
+202.04 88.17 l
+202.74 88.88 l
+203.43 89.62 l
+204.13 90.38 l
+204.83 91.15 l
+205.52 91.95 l
+206.22 92.76 l
+206.92 93.58 l
+207.61 94.41 l
+208.31 95.25 l
+209.01 96.10 l
+209.70 96.95 l
+210.40 97.80 l
+211.10 98.65 l
+211.79 99.49 l
+212.49 100.33 l
+213.19 101.15 l
+213.88 101.97 l
+214.58 102.78 l
+215.28 103.58 l
+215.97 104.36 l
+216.67 105.12 l
+217.37 105.88 l
+218.06 106.62 l
+218.76 107.34 l
+219.46 108.05 l
+220.15 108.74 l
+220.85 109.42 l
+221.55 110.08 l
+222.24 110.73 l
+222.94 111.37 l
+223.64 111.98 l
+224.33 112.59 l
+225.03 113.18 l
+225.73 113.75 l
+226.42 114.31 l
+227.12 114.84 l
+227.82 115.36 l
+228.51 115.86 l
+229.21 116.34 l
+229.91 116.79 l
+230.60 117.23 l
+231.30 117.64 l
+232.00 118.03 l
+232.69 118.39 l
+233.39 118.74 l
+234.09 119.06 l
+234.78 119.35 l
+235.48 119.62 l
+236.18 119.87 l
+236.87 120.10 l
+237.57 120.31 l
+238.27 120.50 l
+238.96 120.66 l
+239.66 120.81 l
+240.36 120.95 l
+241.05 121.07 l
+241.75 121.18 l
+242.45 121.28 l
+243.14 121.36 l
+243.84 121.44 l
+244.54 121.51 l
+245.23 121.57 l
+245.93 121.62 l
+246.63 121.66 l
+247.32 121.69 l
+248.02 121.72 l
+248.72 121.75 l
+249.41 121.76 l
+250.11 121.77 l
+250.81 121.77 l
+251.50 121.76 l
+252.20 121.75 l
+252.90 121.72 l
+253.59 121.68 l
+254.29 121.63 l
+254.99 121.57 l
+255.68 121.49 l
+256.38 121.40 l
+257.08 121.29 l
+257.77 121.17 l
+258.47 121.02 l
+259.17 120.86 l
+259.86 120.67 l
+260.56 120.46 l
+261.26 120.22 l
+261.95 119.96 l
+262.65 119.67 l
+263.35 119.35 l
+264.04 119.00 l
+264.74 118.62 l
+265.44 118.19 l
+266.13 117.74 l
+266.83 117.25 l
+267.53 116.72 l
+268.22 116.17 l
+268.92 115.57 l
+269.62 114.93 l
+270.31 114.26 l
+271.01 113.55 l
+271.71 112.82 l
+272.40 112.05 l
+273.10 111.25 l
+273.80 110.42 l
+274.49 109.57 l
+275.19 108.71 l
+275.89 107.82 l
+276.58 106.92 l
+277.28 106.02 l
+277.98 105.10 l
+278.67 104.19 l
+279.37 103.28 l
+280.07 102.37 l
+280.76 101.48 l
+281.46 100.60 l
+282.16 99.73 l
+282.85 98.88 l
+283.55 98.04 l
+284.25 97.23 l
+284.94 96.44 l
+285.64 95.68 l
+286.34 94.93 l
+287.03 94.20 l
+287.73 93.50 l
+288.43 92.82 l
+289.12 92.16 l
+289.82 91.52 l
+290.52 90.89 l
+291.21 90.27 l
+291.91 89.67 l
+292.61 89.08 l
+293.30 88.50 l
+294.00 87.93 l
+294.70 87.36 l
+295.39 86.79 l
+296.09 86.23 l
+296.79 85.68 l
+297.48 85.12 l
+298.18 84.56 l
+298.88 84.00 l
+299.57 83.44 l
+300.27 82.88 l
+300.97 82.32 l
+301.67 81.75 l
+302.36 81.18 l
+303.06 80.61 l
+303.76 80.03 l
+304.45 79.45 l
+305.15 78.87 l
+305.85 78.28 l
+306.54 77.69 l
+307.24 77.10 l
+307.94 76.51 l
+308.63 75.91 l
+309.33 75.31 l
+310.03 74.71 l
+310.72 74.10 l
+311.42 73.49 l
+312.12 72.88 l
+312.81 72.26 l
+313.51 71.64 l
+314.21 71.02 l
+314.90 70.40 l
+315.60 69.77 l
+316.30 69.15 l
+316.99 68.51 l
+317.69 67.88 l
+318.39 67.25 l
+319.08 66.61 l
+319.78 65.97 l
+320.48 65.33 l
+321.17 64.70 l
+321.87 64.06 l
+322.57 63.42 l
+323.26 62.79 l
+323.96 62.16 l
+324.66 61.54 l
+325.35 60.92 l
+326.05 60.30 l
+326.75 59.69 l
+327.44 59.10 l
+328.14 58.51 l
+328.84 57.93 l
+329.53 57.36 l
+330.23 56.80 l
+330.93 56.26 l
+331.62 55.74 l
+332.32 55.22 l
+333.02 54.73 l
+333.71 54.24 l
+334.41 53.78 l
+335.11 53.34 l
+335.80 52.91 l
+336.50 52.49 l
+337.20 52.09 l
+337.89 51.72 l
+338.59 51.35 l
+339.29 51.01 l
+339.98 50.68 l
+340.68 50.36 l
+341.38 50.06 l
+342.07 49.78 l
+342.77 49.50 l
+343.47 49.24 l
+344.16 48.99 l
+344.86 48.75 l
+345.56 48.52 l
+346.25 48.30 l
+346.95 48.09 l
+347.65 47.88 l
+348.34 47.68 l
+349.04 47.49 l
+349.74 47.30 l
+350.43 47.12 l
+351.13 46.94 l
+351.83 46.76 l
+352.52 46.59 l
+353.22 46.42 l
+353.92 46.26 l
+354.61 46.10 l
+355.31 45.95 l
+356.01 45.80 l
+356.70 45.65 l
+357.40 45.51 l
+358.10 45.38 l
+358.79 45.25 l
+359.49 45.12 l
+360.19 45.01 l
+360.88 44.89 l
+361.58 44.79 l
+362.28 44.69 l
+362.97 44.60 l
+363.67 44.51 l
+364.37 44.43 l
+365.06 44.35 l
+365.76 44.28 l
+366.46 44.21 l
+367.15 44.15 l
+367.85 44.09 l
+368.55 44.03 l
+369.24 43.97 l
+369.94 43.91 l
+370.64 43.85 l
+371.33 43.79 l
+372.03 43.73 l
+372.73 43.67 l
+373.42 43.61 l
+374.12 43.55 l
+374.82 43.48 l
+375.51 43.41 l
+376.21 43.34 l
+376.91 43.26 l
+377.60 43.18 l
+378.30 43.10 l
+379.00 43.02 l
+379.69 42.94 l
+380.39 42.85 l
+381.09 42.77 l
+381.78 42.68 l
+382.48 42.59 l
+383.18 42.51 l
+383.87 42.42 l
+384.57 42.34 l
+385.27 42.26 l
+385.96 42.18 l
+386.66 42.10 l
+387.36 42.03 l
+388.05 41.96 l
+388.75 41.89 l
+389.45 41.83 l
+390.14 41.77 l
+390.84 41.72 l
+391.54 41.66 l
+392.23 41.62 l
+392.93 41.57 l
+393.63 41.53 l
+394.32 41.50 l
+395.02 41.46 l
+395.72 41.43 l
+396.41 41.41 l
+397.11 41.38 l
+397.81 41.36 l
+398.50 41.34 l
+399.20 41.33 l
+399.90 41.31 l
+400.59 41.30 l
+401.29 41.29 l
+401.99 41.28 l
+402.68 41.27 l
+403.38 41.27 l
+404.08 41.26 l
+404.77 41.26 l
+405.47 41.25 l
+406.17 41.25 l
+406.86 41.25 l
+407.56 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+121.82 38.02 m 401.82 38.02 l S
+121.82 38.02 m 121.82 35.64 l S
+215.15 38.02 m 215.15 35.64 l S
+308.48 38.02 m 308.48 35.64 l S
+401.82 38.02 m 401.82 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 113.93 24.71 Tm (-1.5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 207.26 24.71 Tm (-1.0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 300.59 24.71 Tm (-0.5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 396.26 24.71 Tm (0.0) Tj
+ET
+38.02 41.23 m 38.02 114.97 l S
+38.02 41.23 m 35.64 41.23 l S
+38.02 65.81 m 35.64 65.81 l S
+38.02 90.39 m 35.64 90.39 l S
+38.02 114.97 m 35.64 114.97 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 35.67 Tm (0.0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 60.25 Tm (0.5) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 84.83 Tm (1.0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 109.41 Tm (1.5) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 106.44 130.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.23 m 422.50 41.23 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+2963 0 obj
+<<
+/CreationDate (D:20070601024405)
+/ModDate (D:20070601024405)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+2964 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+2965 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 2968 0 R
+>>
+endobj
+2966 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 2968 0 R
+>>
+endobj
+2967 0 obj
+28340
+endobj
+2968 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+2962 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [488.023 344.642 495.869 358.589]
+/Rect [488.019 292.778 495.858 306.612]
 /Subtype /Link
 /A << /S /GoTo /D (Item.166) >>
 >> endobj
-2726 0 obj <<
-/D [2724 0 R /XYZ 72 720 null]
+2960 0 obj <<
+/D [2958 0 R /XYZ 72 720 null]
 >> endobj
-2727 0 obj <<
-/D [2724 0 R /XYZ 72 383.771 null]
+2961 0 obj <<
+/D [2958 0 R /XYZ 72 335.618 null]
 >> endobj
-2723 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+2957 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im26 2952 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2731 0 obj <<
-/Length 2411      
+2971 0 obj <<
+/Length 2370      
 /Filter /FlateDecode
 >>
 stream
-x��YKo�6��W�51|�T����.6Xc�`fr�lk����
��~��ԫ�m�9d/�U*�U�*�py����&B�˜��:�2��1��n�)��v�)����ŗ˟��(�,O2)���Q�oUd���䬰DQ�7/`Dba��2��)�#�X&�JF��E&mZ�e����E�.���/DZ��~�o����t�_۬� HϾ.�I˦.Ὣ���z����+n�����,�&e���B+`	�9�ϭ�<�d�?
+�I�<�	�,7A�%��+����H�m���۲��%�-��G��
�m�M�G���'�џZ�?�%˦[���W��G�i���z����p�H�坿]oI����ݭ�*�����Zv�/p��Fc!pT�
-��B3����U�i#��
s�w�g.�h����XnV>V�eyW6�E��e�Fp��
�Q�
��M�q2�L���d�ͬ�����řT�*gҸf"h�͸�.
쎆��]	K�G�՟���d�xݶ�v�)'&�}�۸c!�!��w�ʟ�l/�������.��N1�\@ʤ(ޞ�<��kۮZ�>�1��Ji�ǔ>^�����I��|9���l0��Lަ�Hp����
�� ��X�I��gpB�����X�*Ŝ�O2G?�:�ȴ���ܸ
�� r0֟?�{
��z{�w�*z��awWn|I��P:�Q f8��98 x� pWn�!M����VO��VH����@u���݆SrFQ �4�!�0�����e_n�T�x�Z�5)�u�/D�4U�EVXf��97[a���+Y�
�dxHX1��n�GX�|���u������=�4彻�ё�{�(�[�T�YD;����5
��j�L�zMD��7���f�������
d"�5|s�#�`�]g�P� B����1��X�Z�DQ�^�1�ꂩ<͟����*��ߤuQ`t��{3�ә��0T2-�s`��0��a$�Co��I,��O����s�O�2y��l!�諻@�1N
�(��MM�#J�7L{��r��4�e�k�U����Gy���k��8��k�L^�v͙�
FRb�i���M���[p#24��Wu���}�� aZo���;�����ʿN7���+�
�P��������f����
c�D�Y�Z��a����q�x�`i'�Ƙ� H�1F+�iC����VC�z��!'�a|��7�
׫3
Ӱ%
����ӂ��_FL��cE�c��!��r�(����( x
���b8�x�d�0ʌ����|$R<��p�f���zD�=rp&�FMC ��s�$����'"
-�:�:@5
`, �G04��o`ę�o�����Φ���.��-D

��kz "�
[F�*%�2ܝ�Be
s�{�k�1��a���)�BXj*���
}���H��
.�����m��]���L(�
-g(9sa�`������H���$P�0�D�\_�~��
OV<������{���B��/`Z�p{w�_]Y�,�h���L��0%

ޮ
A9�� �2EQ�2ԉ�VdADk��G}���)!���O�
M
�K{t�`�Ž�>�-:X]�CՎi�L J�
M���ئ���`%j�m�� T
R�_�L
<u��� ��b~B?86G
�%>�8t8�}�4z#1:��ڷu~���P��ƽ�`*�T��p�#��;���(%��gځ�9��9P�!���/1BF
�|��f灋E�E�

�=Ovp��
��W.�2
�;�!2]P����

�W�v<^������
q -�Qכ/ht��7 ����'�Qت�O.�=�P(1�I���
-4{��}���m�w��R@�
���T� i��b��N9X���Z�7T��w-[d����
��H��
���?�,p ����	�}�����n�t��	�
D�ꩪB��k�Ă?�U����:yO
~Q� x�,���A��}�U�u������c�m$t(��q$ڂ ���Pؼ�c9sr
-��5m�^��g�!���
�Vw�R�I+XN�?�
� \��4�*�� ��^ȋ�m�띏y����T�uӗݏ�-�>j;�яmx��ז�pU=,�]�?&�d��
-��: 5��e9m�]����|ː(z�+o�m0E�6�;y��Y(�[I�2i�OE��}����E����[!�_(���S����1�aa�؁�n��n��ged�h�����/��0r���
h�X�D;RT�y�&\��
���0�T��|��T��'�
)Y��ӂ���U9AY6��r�)�_�'�
y��)�(
ޡ�Qo*r�SE�zs�#�*r̳E��9�ȑ�	n�k>f�xV���B�
:ẐX���$&��r�B��K�Y��'ޚ�7�6���;�
-V�j3��FDW �
4�tR��
���u�endstream
+x��ZK��6��W��1|�J0�  A��`�3splw�w�v���L����C"%ʏq��CÒH�Ū��+��7���0&���Z�����𩡖P	w������J��j������7�N��i�9aʸ�?��l}��O�qJjGݬ��\���515�V
~���),e7p���}^q=[�r�s��?���v����9�n`o��G��3W�҃u��>�	��ϹR�<}
���w��v���ݸ����_hߎzx�
+2�X.��J���e'~��tB�k
6p!���;�hA\����-�t���Rs���-?,��f	{�f��'�݃��_��kqb�n7�-/��t��f
ǹ�Awp�x-�|�ѓ���\<�C8�},�û0��bvn��G��k|��5�D5��C+�
��-n\VBY
�H��
q��"h��Z(���"�(׃� �R\qɕw�f�^�輳h8|i�.(�(:
+o5�O�u���S�7a�$^PTb�n�ׅ�(�]]X]�BeJ
+��M��A�HO:
��-(*9Q-�]tz�aY��7�AH�
!$�;�B��r�����D��|_�q�
+˜�V�
��j$�2�Q��
ֻ�G���P���
E�[S�H��`������R�@(�n�
+��Ş�29� N�)hUq@�*ȩV�������~._c�Q
CP�3�Ff8>L��
Y񶠛� ���S>aM���b
T�O�?���9y;��Af�h��R�6��P��ϴ�%�ˌ
��`�h�I��}V�Axb��q
+�:
~���oKtUG�u�6�].H�a^`�iܗ{�RL��D��su��l�kޝ�6g���u�rI\⏰����8(O�.۳`�D<1�LN
�N��S1X
���K���&.�x�����lWXf�jsh���7�›(}�_[�C���Ļ*)HT^��g����P}�:���k"��HG�
�+����w�� ����2I�����qD��+H�L�9���n-�=H,��* ��>z�U�M}n�>�kE�X��Xs�yf� n��0��Y[^
+B+��
'��G�ZQ���\J�
���A
�9+.q^���L�1���d��Dkv���!����)�
=���'
i�D�>���1	P@
���Ӑ
Sv�LJ�n0�Psi+^�
�����c� N���}�ȋ�绠۵���?�67�0ዮ@�zf��,��[�L��+ at N���+�]��dF����w;�t��J�
��
?�z��  �%�dg �l��`�r
����CBZ�M�:n�H/�i�SO(y���0)/�m? Θ�4[�J�}Rfo��2,��ḛ�^�
+�l���t��s^��8j�E#j�s
��]ֺ�k�˃�?���mLDa�؎��X�Ǧi�`%rC���
-8���0#v-
� (Q�C
��v3��f��Nٔ{��(p
e��.w�?&o���jB�?N(dE;��Pp\�&�9�y��N�9��UEYU'�[�!��%�[� $����Ab����; G�J�D�U�J�$Y$ ���1�^�"s#�1H)Қ`���@���$��
6±�b:�z��4��ve��~
,Pq�(B3H�yuo'�VL"r\ۨ�;S��gL�,n�="
�%�׬
N
+Q0�
��RM�˚���yL��>up'K~ f�F������D�����sDπ�
��
ȿ�)�}ɂ�'�tr��P���/D� fruNWK���U�4$�g��
s����|�$��_2��^�=�
��A����"���N&���5��W�M�e�!`���̙W8���_�bJ��T)���u�q;���Jt�	cu���tF[�������p����_sˊ_��HJ�ЉK�OJu~
I�oQ�������m���
���!H�t��|e&�
�Ż��
*�c/�}
,�d^yXc��
+[s&���J}�
��"��O]m��Gz�t�G�F�@��.�_eZ(ru��C7*tև������Ş��B��n@�B�|��xִa���vG��	���T����:��
��{��h�s��8�j��
bG�9�ؾM�g��ڟ�r�ЭUX�'��h0�j�[��cmy�J��#'M�M�mE�çe�R��
+g���h��3j��H�Q*p�����^p��g�1ޫ�� p����/�Q�;��;u�9�
	���q�[�6���w�/:$��F����~q�
4=ʑ_3B~9'55�>�:j�d�AX�H+��vI������>�3~A�k�b���W�_~�U'ٯʭe���h����'�K2`3`��E��P��[	�1!��!~�s�g��Z�&��ÛX�Z��\X���g�����ER���/Tl���#��
+	�Vendstream
 endobj
-2730 0 obj <<
+2970 0 obj <<
 /Type /Page
-/Contents 2731 0 R
-/Resources 2729 0 R
+/Contents 2971 0 R
+/Resources 2969 0 R
 /MediaBox [0 0 612 792]
-/Parent 2722 0 R
+/Parent 2933 0 R
 >> endobj
-2732 0 obj <<
-/D [2730 0 R /XYZ 72 720 null]
+2972 0 obj <<
+/D [2970 0 R /XYZ 72 720 null]
 >> endobj
-2733 0 obj <<
-/D [2730 0 R /XYZ 72 700.324 null]
+2973 0 obj <<
+/D [2970 0 R /XYZ 72 700.334 null]
 >> endobj
-2734 0 obj <<
-/D [2730 0 R /XYZ 72 513.163 null]
+2974 0 obj <<
+/D [2970 0 R /XYZ 72 513.151 null]
 >> endobj
-2729 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F48 554 0 R /F32 668 0 R /F70 642 0 R /F79 926 0 R /F35 1440 0 R /F52 1472 0 R /F41 1704 0 R >>
+2969 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F69 550 0 R /F35 663 0 R /F126 638 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2737 0 obj <<
-/Length 2696      
-/Filter /FlateDecode
->>
-stream
-x���n���~��
�aE�"��yH�HP @�h{� �4�r5K�x+�o�YH-3�ܱoP��#RG�g���߼�ͷ�\I)�4���\�X
-e�+g"ְU�3z�����_7�l>�M�H���	�g�T^Y�[|��R�j%���
��yV�
�Lw�JL
��E�����Q����z%�'�84Ů��a�_=\�iT�5��6c)��Իzw�@��{���U�o�ݵ�����4��DdR�,�٧M�l��Wp��#	gJ>
)ߕL�zt��A\W�$L��S����3�j8I}�Vr�ɒXmu�L��*�k��
��^�LE��?N}

TM��E�]�E�M@�r��E� ��=�{�tح��G����y^���2sƘA�Ė�3�V���}�e(
��J�B�)�]�D��ODi@>�S�LD�ə(߬�OZ���Ҕ�Q�{R�g�Y�58Qʨj7ź��_
Z�Cq�(�5>�����5�Æj܄
G_��z� !�|��f�N��vD�
4���^� h
�;�}���\����¹��~8��T��Kw�	R�K]7ll���!2Ѣz@{
)|��)���=w�3��+��zZW�޿&Ǝ`{���Ď
�����E��B�)���Ǻ_�g�U�;NZ�
-l�d�D}�q�q
-�5v�|&��Hb�%�?
H�a�PmS69�� Tu��@
J	iX�7��\��
=cq�
?VKWq�RZS��r��n���
�k
-\$tK
�l������
X�v
-���x_O'�Q�3���-��>��#DW;�btӟ똙����޻��h�;�/Z�v����>RZ��A�v��4�
<��QG/J�A�?~��� e��|��?A!�1l <�|�?_��I�����_�h
-�)�:T6Y�
��֏!_��a6r����2�"��)�;�
�f
��9ꦠ�ߐ�Q.M�� 3
B
d `B0��e2�i�Ƥ�@�!58p�� >@�C5���`���9Pw@�S�$C�ɲrL�
'*a�'�L�ڠ��݂���]�9
�>]rF��i*�^�.�U�Ɖ �����D�*������cq%9���X�����rS
M�
�ۢ}��~ÿ�~�{�=�Kw�!�u,r�M�C�9� f�9V6	㌦3�XyoN��
-�d
��@9�g3�	US�
��N�
���cI��
���=CN&���2˗�9j4��d���T"$�}��d��6u�s�2`[+L��
���e�-2�d�A���U^J�!B )��R(ʶ��1os]���F~ASjj�s�Z:�mD>z�~���=���G�G���M���N����c&�Ŕ^Pン�[� �
��,JCiE�M���w(*���3��K��I
��]_�3B��f��\	����
�=Qc�H2�ސq�� ���
K�XX�/c��X��/<�	��/1vɢ��F�>���K.���G�L��į���%0�c�\�;d�}��뻿!��͟'��#(!�%�N_'�
-�'�J���v ���!��2�d��l��������3�B��k��|���
�
/��S�\�7�!Uԝc<ץ
�PBO�+M�:
V��y���(�s��=V��k�b����!�g�<��x��o��&��eN���5[�!V���S�!3j)��
-��	�\?�$�`�%ݤ�n�
M�aT�ؠ�0���Z<�s�|�mU�����uR��C�Π�2��M���?rJ���W��ɉ��w�j�

����@y#c*"�<@܇4Hy�ו[޻��To��)�4�;�0�}�����YWNc\p8��b>4C�;LLج��(t3a4�u��I�Z�Q8�3��W,�sÞ�r~�:J�Z����u�Y
���3a�4��~Y�Q��w� �����mzY���6��b�ɯ�xfl�hbG'"6:�d$v���c#��gm?��S��g6��qu����B�N��RM��
�OH�R�c7w��zwp=2ɀX�tK���lB�@u��@��> Mb�2k�o�{�&4�K�2-�_�LhLB���U��)�XX*���'�Hm'����65��+�Q��
Ա��
�
�� C��#��d]�B���2�hK���֥�[kG�"�Q��9l5��D��
-6��GM�f1\�:ܝ�C
-�Y�)��P_�1I���;��P��~\�����>��D-nC����!�U?-p
��I�a+i�yд�N�{\`�q٭}5Lu�y�VA���fya���,��],�L�ˋKD{4J0�ȱr|k0�C�ό�g��-����%Z�$
R���F?��#�)�|r�`�:�ƭ����^��S8\;Z~�B�uO=�Y_%h�����`�\y��[j��bwG��++sH��]�m�Mfh���l@�x�Q=�3�����E!̧�*�j��d�G]���<�=�x����vU;��r�9��Z�q��
�5�4�.&�=wmB�q&�LɎ�M��ab2�#ͳ���8��͑�k?��
:��Q^T� ���E����|Q�$֗M�����
�x��8v�W$�?��7G
ox6E����[f�6�3� ��JLr���I�c��WN
->[��������
�(EUe�v�l!5|]��
w��P�ŧo	�H[�S�
hܿ��C��4L�^�/beN�H��u�#͏�U`~G�[����\����r�끯�Vǵ9]��;��[��w���ˆendstream
+2977 0 obj <<
+/Length 2628      
+/Filter /FlateDecode
+>>
+stream
+x��Z������X���M�i-
+h�-ںt�ʾ�^��|g������W������!9��o������_���s�j}v�9�
g��3�8�(x�����ݜϺ{�g���?}�Z
+2B*&�=k�t�8�����b�.8��D��@R�j��)		���|�
�.�z3����3�ѿjf�#|���U|�h��-i?̵��/#�E
�y1[��o��Tiٷa
+?�D
Aɤ�����p�
)�4���M���g��M��-��s\���Hց��-�F�뷸��
Fs�Z�*���I'�WL+�<�[�y[��\3k2�J)���.j�g�u��os��Թ���>aU���)�g�%�
��#TN���Ǧ���u�(�
����:�6�z9
�|
s��L��%��2�*�dN��1.UEc
�0�j�2S��S�cOq�!�)N2�8Qܴ�hq�Dܱ���F�&"��5�>^��[8d�{Gm
���\m�%
+��R�Q�H�yoiI���-[����y�0�8�/>S�y
��&D1d�6�
w�٫X����忎�t0na,� C��5g5g�ͯ��QMdMa
2�����ݾ��1�/|�}�lu!�;!��S���еP ~��2���nC�Xuw�Z��Gs
�\E�s.KrA�*S�B
+��0���2�_ͅ
�U�os\HƝ>%�
M��-窈$B�m!�4�q�#~�6�y��a�S�[58O�W�Y	��S�gU�Ķ�T�w�|H�J���r���*
+�m �xp
?4q�
�Ħ�0�=m�K�Bd�MB����HVJ��
��	���������f�z�D4j]�!р�ģ��ȨZ�����J(�<xlP�0t�(x4�O@ƈσ4�����E��	�����q�������1�
��:θ�c����WQ�c!��&Y�/j�72�Z�m�DQ8٫}��K��%@#g�3���B��2|���?q�
�/I�'���j`B$\SӠS�5bR�����Iy�"ڣ_]`@���y����t�H��٘Ԙ���vP� P�w{��1#�5.�\��:t��	�},nk��V؀d�m)4�53�̍�%Zp�I������sX� �L��dKÞ���T��
⢄7��EN��e�����+�;�R��C)xx��jrR���G�}~>ǰ����â2�hS=?���,�����>g퓼�N�!��I��P1�<��5�7P�'O�Ō 0. �
+� ���-��~K@�E��
+G�& Pm@�җ!B�E��M�@i$���-���h��f���3�~��
"�� 
�^h9�O����*�˓lìP�_�Q��
,�-�q> �\�|S�d��Hh��`����� �����o sJ��\��c�ԑ�!h��/m��Ңśᩭ
z����q��b�0&��TޓTw!͎ ��� �F�rm���ƴ���Fl���
���ۗ#�n�J8V!�^�A���2��9���?ÏY\`�~Q���Y�Ot2�mb4�a%�Gu�����9"x-�6�>�+���;i�X�#e�4�)��!��U��ґ*��)���d�rO�&�.n�
Ud��2��� ��d�	-bG>WE"
L���D
�-k�S��l��/í�H�����)�h��0t�t�|�04�2
mF��Ea�3
�i�`d	i������U�
+��S5���h�1%��@���{���c�7���!f�_׳?��t��v\�6�nX;���Yu��Ї|��~$�����m�/p��gqUl(�z�M(��(��;��>Es�a%��-a��"�qVX�����]�pq�TR��~�I�#ja��뙸��
+��CYx*����RO�K �Hc^�3ںk7�[�!e\m�J2f��Vq�0wCO:� <��uy~��<����;��*f��sڃ�K�hTG�3��x������P
+/c�
�9<�
|+��k�o���貪�ҳ�EM�e]ecP
�~���
�F2�1

+���
+-�˳Li�]��]~x>xx������4�'x�
�b��A���
���;�){U;���-sV���""�ܢ��^
}����RF1cG��e��ӓ�F�ޖ�JP�S�e ��ؓ�|�V�GCY�fR���@���9��b�#�.O�U�:o�F��ߊ9��(�k"5��
��C��;���m�Y��|8`易�� �\���i�i�uC&�Ϗ�������}�
F}A�@�E���Ơ=��~ܓ0w�!(����~�=��[�����n���(M�j�BŸ`+���? 67(���Q��>N�T|OT�6XC()��d�����U[[u�%=��
���?�Vξ�pk�Ƞbp���K�u"z���s���I�-��hg���3��eq� �͝��ؑꋲ����i
�Nq���)g'�U@��p[�|p<R��x��)�a�����[�XӮ�
+�8ڿ��D��l.
��v�8
��M��&���B�S�$�]��pD�ƌ���#���w��۪���u]��q
nH6Q�)��W�ӨuA2Bq��ٻ%�����Q�]��7��4����x��o���
	����
�	���[���򢚇p��`�wG��
�	��7sp�ߟ����'�endstream
 endobj
-2736 0 obj <<
+2976 0 obj <<
 /Type /Page
-/Contents 2737 0 R
-/Resources 2735 0 R
+/Contents 2977 0 R
+/Resources 2975 0 R
 /MediaBox [0 0 612 792]
-/Parent 2722 0 R
+/Parent 2933 0 R
 >> endobj
-2738 0 obj <<
-/D [2736 0 R /XYZ 72 720 null]
+2978 0 obj <<
+/D [2976 0 R /XYZ 72 720 null]
 >> endobj
-2739 0 obj <<
-/D [2736 0 R /XYZ 72 606.545 null]
+2979 0 obj <<
+/D [2976 0 R /XYZ 72 606.581 null]
 >> endobj
-2735 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F41 1704 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F32 668 0 R >>
+2975 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F53 1695 0 R /F114 560 0 R /F126 638 0 R /F149 920 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2742 0 obj <<
-/Length 1551      
+2982 0 obj <<
+/Length 1595      
 /Filter /FlateDecode
 >>
 stream
-x��WKo�6��W,�
$��EJ�#7�Iڤu�F��A^q���*�u���w
�z7��^�^V�p8
���
��ճ��Y��R�Z��60JE���q
-����K������y|���΋UL
-Z�Q
k$q�5�_0�	����u�=e�y�qL�
�&��Lc����*�]SM�F�
>�2u��:��ib���~���;��lF�~#�f�݅ZU�3#�7=x�
��VQ�\��˜���09Ζ�d�OHT��}�R�\�>�K��E��@U]�`C)�gj�!��v�5+
#�:)�d	��?�F��O~�݂�I&J�
I2�I\#š���]�J�p��q���
_���əjjM���r�D�ZO�����M�Ƹy��q}�$�Z$YvD�u��v�H��j��3�]���yۓs�i�e�8��@��' I��*���
�J����a�P�GdVClp�#<(5
b���9Si�|�!<��o�fc	�$RȜK�9
��PA���n�����xAFˌ1�����޵�������B�Qe

��&�9��a��8Q`GV�5���
-�
h]#B���6��Z���a�8]:�w��κ��^���:����?�ph�������	����T��Һ��a0�����AЈG���!U
-�i&X�K���
N��:>
-�t?�c���t�\<a�^�%��O��L�~��O�ClU�DQ����u
�;�I��28��� .�j��d�#+|��֯,�<ɾ����U"���/g;�E��k� '
�I��r}e����d��F�
O�`77򰥌�I�,�4 �3�,�)�z\
}|�� �J
-�M�C�J��0 _Y.��/�� GZL���	��B%{���ُW�X��ꖯ��7@ni�
A��4H
-=
fdY�oI�K�2���`~詬л�
-���T<�sTqF�kgx`[��\^�W��\�1���$z�F�b�
Tn��p=#���7@/���l�;z>-\i9����f�
%�&�������`�)�*��'����T���L�Er*��0A�_�*(��x��j���-��6�
�S�q��7*.]T�S8��|�W��-5�ލ'�-T�RB��[��~�sA��7��W�&��e��>WEf�~�T$���)���d��"4�T`/= �j���~M7�<v�K7sG�
N���Q��	B�gI�j
?�
-
IM���$�`��P��#a51����7:�}+X��n�3=
-��Eu��@< �
<��\C�s���v��2�4#����o��1g�4��t���N�Pa%�Q8x�
[���D����"wTY����x�[
�Ԅ<W�ɓ���ȗ}�vx���Y�
��{@7_�-�;{�me
~���ɋ M��8I��}I�Gk/��[b1<?=E at o���m��ӵ0���~A�?��GTm+��(E����h���h��v�	ڏ�ېy��~�V�'	����3�1:�_���Y�?#�;�P��w�dco|��:z�q��TZ�&琄
-_�)�HNC�aLq�٫�g�>�
endstream
+x��XKs�6��Wx:=�3
��ٮ�8��L�if�� K���e�"�͟�@�273=�@�
,v���>�ӫ�㟍I�Q�s�WsxKU�f��.�Nai�G�5���50�,d����P�_������
���ep �*�N��G�1Q�
x�x�f.�Q�*�E���[x&13U3�H��ڤ���(�����LE
��1�wk�� q�lU�p�s�
q�)<]ո�E�5�]u�Ñ�>��$���JŮTt'�4��)W&��/�7���5!1m�������(�!qV�<J��p42.Q֦�R��}?�|D�Q�K^{z�T��X)x/wb�g�a�3�!���?o���
�
h/o�9

��ӆ�=F�>�Ey
s\]�l���i�n#��k�ׯ3�C�^�����iE$ڋ\z��g�f�߿�q�
mQ>f��f[�=���3�F�]����g���Xә�u��6�PΌ��ۜ�����_oY���ԇ#�2�1\�Z����Zn��
��yzGZEU5��
9�v�Ԍh��~�ݣ�Ǝ�il��/�7ݡk
�#�~�|݊;'te�{������v����\�����&t�k?QB��;ٽ�R
��r�Eg:�W�����+�'S��ò�S�"&H�
�oKe3�]�蒔�3��ҕ�{��y��V\
6F�Y1
�>j����hy,�Fg��H�
+�-�a�U��M�Lt:�Q��D�'�	^��vY����I����f�a�,��F�&�'*5��
I�/
+����
�e�H
d�ˆ��	*�
�E�Hc�(��D渏(0VS����H/�BhZ�QE�I
ږ�a�idx�lZ0��
�9׏y�	7���!�}�_H���%�7����{��
i*T�m-�6!�ݸ��_#D1O�V#�o!d�����6�x�{�7N���xCeu�1�H�]�%<��
+�9�&AeO�;���25� ����;�/�3ާ����Q�ul�Kq[��a��3���jEdo���=VTT���B��}�E�9�oF�*Uz�%��|5���u��iW�$dΉ�߁”��ida��h\<o���OMP�(���ց��Ao�AZ�AI �:�d���	zKs�8��l�{	�.qa�A/�93���y��
h|Gm!v~��E��<��{��RY�`�Z���o[��@���z�<L6��o�ݒ�R�d]I�[ɳ��*KyPN�hmz ��M	�,0x�5�MDZ3��%s����/a3�ەY�R��<����!�0\
a�a��2��9k���e*ɣ׊
 X���`ǧ
<��p� �r-U		��u���Cu������a֔�I7�r=�+Q��:�X
V�޿(�����&`�voՎƺ�_����
N�⦆�e��̣
��/�� 
u�.Li�|,t
��N����e� �4�.�;Zʏ2S�Ȼ�9����!}� ��!�
�-�7���
�s�&�]� [...]
/̷����E����9L�h5�-�+BF@ ��� �J�-endstream
 endobj
-2741 0 obj <<
+2981 0 obj <<
 /Type /Page
-/Contents 2742 0 R
-/Resources 2740 0 R
+/Contents 2982 0 R
+/Resources 2980 0 R
 /MediaBox [0 0 612 792]
-/Parent 2722 0 R
-/Annots [ 2745 0 R 2746 0 R 2747 0 R ]
+/Parent 2988 0 R
+/Annots [ 2985 0 R 2986 0 R 2987 0 R ]
 >> endobj
-2745 0 obj <<
+2985 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [459.36 491.15 540.996 504.101]
+/Rect [459.415 491.185 540.996 504.128]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2746 0 obj <<
+2986 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [71.004 476.372 106.484 490.32]
+/Rect [71.004 476.404 106.447 490.238]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2747 0 obj <<
+2987 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [112.946 476.372 138.35 490.32]
+/Rect [112.894 476.404 138.271 490.238]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2743 0 obj <<
-/D [2741 0 R /XYZ 72 720 null]
+2983 0 obj <<
+/D [2981 0 R /XYZ 72 720 null]
 >> endobj
-2744 0 obj <<
-/D [2741 0 R /XYZ 72 586.957 null]
+2984 0 obj <<
+/D [2981 0 R /XYZ 72 586.989 null]
 >> endobj
-2740 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F76 747 0 R >>
+2980 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2750 0 obj <<
-/Length 2117      
+2991 0 obj <<
+/Length 2063      
 /Filter /FlateDecode
 >>
 stream
-xڭX�o�6�_a(N�˪�D}w$Er�i��z��A���D��+i�u
�o�|Q+���)�"��
93�͗^_���m�]�,�trq��Ȣ�L�20���h��f����y��	q�&�.�6-Pu{x�u�M	�{�3����0V�0~�ZgZ��s�*��Z�w8׬�&W��m�}Y��\kl���gb�Bl��3/���u��B�tm�6,T�^hXJH��h���0�Y�_z�6Σ�u��2�,ʽd�]Ë��B�x�w-M�`h��߬��L�[���ْy�-�냣�'=�Vv��T�	y��U�eG�lj���g��,�6����lמ$owd)�2�1)�h&�����ȩ
-��.�p�˸�i��t�+A�>\��8
.�-���i���<�zfu����E/
j$�
�u����f���I_"wGǥ�{���[|oQkT92
�1�vm�
-G	 
֏nOw�_��#~��]�
-�s��/�s���K6�<,k��B�y1<u�%1A�U����/�Rm�
��A�����`z"Pxr��Y��|��}��������S���
��_�u�M�	��=
<�
�����j<��J������U���2�^�ᤲ�y�����Т����"T�3��=��H��(�
S��h�#��O!����}f��s[��M�Q9�T8><4t���� 7p�+ٔq��77��_{�倇hf� ͺn1�ݑ�!��x���z{NH2���2]h��A�Z�ض�8�U�+�le�wgr�+��H�2
�m���tͷ�|�d�$��rTA�}��Z�7|ec>��ut
�`�8�d�r�����
K���=x�
���Z-j��{���>�`x-%b�Yu��3*G�rK
_يIZ�ݕ�z�p9����R!�b*\0
��0ՙ�.���[L����F)l�'��nb!ۑGC\��W�ϸ9t�k�{b!

��J�j�pͱ��<��c�9� � �kNt)���n��-�1= ��Y5B��Y�N䟷�.>�L�F?5�=��۱|���P����"���K&dk�#�*-��'�v��j��@�)�Y~~��q|R���|
U�Ad�X!�\i���p��
-����$T�3@��IQx2B+�\���0�ܭ�
a�F�"�7�?��\n�)ꄫ�d�H�aZ�Ynᚏ�Cg`/#Xp�����a���v�(&Uj&��H~�(5�g�HM�'
2o_��?��Ǜ���,ʐ��~�J���g��7O9�K-�7
���O"<ƞV�xk�80SlAwu�dU�ה�i�z ;��ܘ�Z�dv�>8�	��zO�¶y����{�d�@��X�����O�*��ܿ���n9�
dz	�-�&*�`�g-���K1*�>�x	|������3�Ǎ�
�
n����b�T��c��T+�
-���M�|?��hK6�[��LC��sB�꯻���jv�hGe�K�:Lt1uV�����N�fgQ�����s���#r��89�<8=���͠+��:ޮd�~[��i�����
&�w�
��.�`�	St=���z,tCX\��}����<Vq�ݗI��:@jFqf�
��>8�:i���5E,���D�� N���5�E�E����� �=�|Ƈ
����'H
�P�ټ��vq�_�8�„�I9X��I�x�
�
 "�9�	LD����
�O6Xw?���*��Y�:�M�8�]��-�P)��݂z�
-��4��<�
�7��@��n\P�e0�
<t�B~�8��Ȍ>�
���^�Z[ǭ��6x��IA9ƤK���$CΦ.h��g��;W��	�>RƏ�A���%��g\gV� ��SqQ��5�9���+���� "��� (��M0濇4$S�{K�
��RJ��r�^������}
F��7�F<�ѮsG
be��H�|�z+��M/mX,��֥�K�����7�t9���f\e��!qJi^�v�.	�iB@��l=�l�ɭ
x�ۇ�v 9PlT�[:V*p�t�R��
-�[�#3����}��'�G#h8AC�E�%�a��M�Q
��J�tR�,�F����Rh���cl>��^L�H ��	��۹��z��/�\�����endstream
+xڽYm��4��_qBBdE7�-o�(jQ-R9$�Cn7ۮؽ;.����vf���N��=T�!w�c�Ǐg���>9��3)͙�r%����Y��*Q��@k�{&2S����{�������`N�s��3A3.a�<7���i�ٱ�
n����ӳ�H)�\ֆ�}�XVJdOh�V0�t=4�,�r�4u��L�
�L�#���Z@���7<��-Q���[|�d�ȚTp�]�b��j�$
(H�%���\�
����K
j=i���O�*kP��Z�~�z�&�� =�V8dsg;[�oe���Ol�ca�g��ePR�uxL��$���(��r�^��Z/��
�� F?o�q��!H��uC�
@��Ɣ�p���4(t
GVꬻ��5�Ӳp���Ǫ#[��Ų6ev��n
��-ܰ8Ჳ�[�]��4��~^K����j��O�oY�
/�o�bo�[H����%`�\+=q��vo��\�
g�uU
�r����z���
�d���v��!F�� �j�r��I�j�[2��`
��2��>�h���������sZ��L�U�/*�im`	XQ�\ڞ�
��r �6`�p�R0ɪ��bYH���88�>�ņ
����}���7;���W�z��� Џms��������	o�t��4�����H�'�#h2q~
��Q`zV���ΠL=�T�R��Y�S=���=��oW�"h���(9�o<������Q0sWa
�>t0h�����B��0
z��7���	z/�ʎ����(�>���1�=�[��ڊ��R��ӎX��ʡuV
�o��ܖ�d�M$,�K�!l��ZI�rbx�D����q�5�T�2�!�� ����D�6P2@�ݎP���'����w~����MO�u���m�U�/�E
�>@]� [...]
+�,�1��
+v"���9G�e�|�b�a�9H{�/3RCZyl�,�ʚ��DA
n��L�vLK�l$�I8�� ��S"W��(^�DXK��Z�FՑ!,>�0��6�]�fG�.o�(�
��LG�_J_�Ii,Uv�k�f"�l��A�EPW�����{�L�E��
n�bޮ�
����x�o�`�71���1	3*u��n�®�t��-
�K}���|��6���>���˷�D��
�O)>�}\uU��K�o
7��+��M��)=��}U������3|=�R3qOU"
�-j�u.Q{�|
&�v���U�sP at p]�
+�
��K���򛡟�q	ݾ
�$0w7�@&�(m�y�1�i�W���Lu�D&W�r�{-d���k8�B�g /�g���3-K0�S��

DN

:)'�� !¤�ny�� �hT|�8w�3U���ɴ�>sF?M�s��
���_=>�q�ƛɍ��>������O��"B��RZ
!e�Y%tY�FY�B
��3H
�<�
�M�`
�����jw3/}L�E����j<�
�v
+�%`�b�q��S��٪��\��j����d
	��=��
ۛ�[K���
a#��σi6�A�->z,|r�Y�U����m�/�Y�}m�r������M *,{�y܊M��b��Z	S~��&"E��[;���0�Ū�X�:�[
+����D7Ӱ���t�
=u=�E
=�����M�jt�
sZ�/��W\jv
E99�W������<�J�O�P�mG?���A.���;P�
� �=
��k����2o��}&Ό���UҞ����
Uԓ��_����X����%��+�T �!^6Eޔ�
T̕=8E?�a�#
==�/��?endstream
 endobj
-2749 0 obj <<
+2990 0 obj <<
 /Type /Page
-/Contents 2750 0 R
-/Resources 2748 0 R
+/Contents 2991 0 R
+/Resources 2989 0 R
 /MediaBox [0 0 612 792]
-/Parent 2722 0 R
-/Annots [ 2752 0 R 2753 0 R ]
+/Parent 2988 0 R
+/Annots [ 2993 0 R 2994 0 R ]
 >> endobj
-2752 0 obj <<
+2993 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [111.953 627.63 140.609 640.249]
+/Rect [112.49 627.651 141.106 640.193]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.23) >>
+/A << /S /GoTo /D (section.12.16) >>
 >> endobj
-2753 0 obj <<
+2994 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [427.212 627.63 455.868 640.249]
+/Rect [431.439 627.651 454.209 640.193]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
-2751 0 obj <<
-/D [2749 0 R /XYZ 72 720 null]
+2992 0 obj <<
+/D [2990 0 R /XYZ 72 720 null]
 >> endobj
-422 0 obj <<
-/D [2749 0 R /XYZ 72 720 null]
+418 0 obj <<
+/D [2990 0 R /XYZ 72 720 null]
 >> endobj
-2754 0 obj <<
-/D [2749 0 R /XYZ 72 575.284 null]
+2995 0 obj <<
+/D [2990 0 R /XYZ 72 575.337 null]
 >> endobj
-2755 0 obj <<
-/D [2749 0 R /XYZ 72 493.051 null]
+2996 0 obj <<
+/D [2990 0 R /XYZ 72 493.136 null]
 >> endobj
-2748 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+2989 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2758 0 obj <<
-/Length 2064      
+2999 0 obj <<
+/Length 1993      
 /Filter /FlateDecode
 >>
 stream
-x��XK��6��WA2�fć^A[ Y�i
-�lP�MZK^��%C�w�{�o�<HY���(�^lr4
g�y������1IR�,�W�E��(^$a*B����������1
1�(	�EH<kǡ�1�:4��匈L(��d�B͈Q�H3/��˕���ߖ8H���˕J��?��廲/;��,W2h���ni�k�����:��
8w��y�]պems��vEA�U��Y;b�9r�Q�(F��JaLLg(*����:P ��Y�l4����y��б~�G��T룄s
Ʉ̲�GR���F���jG��UK��Èh�TO�3���=@|��o`��
Pqys�
�cH
��7G.v�Z��݃ʑ�⑋�Sbr�J
-��UW7�}��4Aa8�=O�*�u._⹉ؕdB,���y7�F��a�=�|
-���%
�C�
�Z�_�
 �M�mZ��e�_� 
ܖ���3N��T��d���BF��]�?�'h�}S�
��
%$Hť���
"�=��S��js��~�������)�?#o�T���_����j�q�
-
�u��t��-/�z��{
��{fC�ഺ>�W0�*V2x����	'��MS5�
z��匏c@��rq��D��Td�;�ЬQ�sN��H+�>$N
>9��
�:�(�J�f��8�QO�"�ҭ���L�CC�,�a�vс�ۦ8����W
lں&��9� m���&6��Υ)��
�kA9����Y��*�m�c����L��	�C0�P2yr�A�����R�o�^�ɍ0x at R{  ��l�FD�O��̡�WM<8��C�M���O2�%�PV:
�+2�N����;���dF��1B���h6��bޒ��z/������ٖ��PCm��B��4��`�t��!�M(Y& �I!�H[��m�A�S,D���.�`�0�Q���{�8	a&R�/x��Z�0Y:�+�����pFu�q��9+�h;����ZL
�$d���RQ���8K�Z��ʪ���gi����,S�/�7..;�*�>��t!%S�~��;⌫�Y���
` ���8ե8;�xOmȴ.����r�z���b�AS�
ɸg*Q˟�聋c.��1(�V����D�^
�G��
,�ˇ��`��w�܏��U1Q�%u��|UQ)4Q:yZ��$��K�kۢj�$|�nę#31IKv�S��vw�	6AE5�
d�ۖ�n�_�xW�
�Z.�8�Y�.' WM^3���B�S'������iQ�:?��}��Ii�.�
z��E0@��<���x]�lD*�r]Y@��� ��@= }=��gd
��V96|��vIY���������=�֩9�>-�'�EJ�B+l
PE�q�@�= 	7=��E	)CG�U^4Ҹ"�F�V
���yT��4��(�rœ�
z���uHf�H�סQ�M��
-
��Pu�}.�zN��=��.�Sf��� ���ܛiӵ;
��I(!�4�H���s12@�r�x����AhXR���	ܺ�H��f�s[wO
_��Gw26\�U
��2%��m�_���Znk��݂����Y���m��_j�ۨ0ȋ?T�5q0�`�9�����~���4t
a�b�&�[C�i&�kǾ��ah���s��#A�nu%B�L��D�JO0�ī�a�5�>�DF�*�`�
�%I���;�/��	�����3�W�?\��t 7?�&�
Ocӻ��nAi�
�����
�b��Gg��fg���7[E��潿2:������gr����� +
����F�����
&�X�Z��pK����,kg�B����H�7_�ݾ�ׅm�d���DB�d�,x�ӷ�L��(N԰0��),)q��\��9�O�2
��Pi�m�Ͻ���4�2~`7�%��
cM}�_x!��=ZQ86��E��{	�rSK�h�p�9"I�I|�6�r��'���}����
-�E:؜ �PY29�3��3�<���V��4�
��`.�
2B����[�[�zz��
}�(IP ��'<d[�FL��9�@g̀���
Ǝ�]&}�v$�x�^n�[ܲ��g�r�{�hߜk�#��

,��\蔁1�>{s��/.`)�endstream
+x��Y_o�6��=�h�JEJ�6�
���2��u�-;^c;�����>���#u�(�	l�E�x:���Oo�_��9��I�%UQ��/N�*)ԉN�$�01�s�Yd����_�R(F	w:-NRC4g#��]&[��1.U"T0�F��f�L�J�
+���$W�h��p�v������D(;+``'o��
pe}��h�5O�}���X��;��q}C��
��aj�^�;P>���n����E�%[�t�fu�t��)h�dR��kM2�H��Z�ĤA�[�z��
+j��[ٛ�l`aB&���ǣa�t4�ZL�����J
��T�f�;�r� ʢB�Bf: ��b@�ixQ��~ ��Ew�Y��=��,_��W�r�

ô�j����A7��޼��vF
���
�n� )U$��da�[kIT��@t|����ْ�7t��,�Jv�\�
o}m�Mg�{\��n~M*�1S#��Lr�U�H���Y��y�_�c4��ů7�:"n
+\,�f��Z�6�m�਩9�g
�(����:Y�������l-�
�[�"<W�hfwx��I� P�U;&�n@���$q j��
�o�}� �#���Gnh�.g\ ��E�d]t*p���o
�+�5t t�H��e
'�,܃���

MR[0\�4庛.4�-�<�Љ�
������r��>s��ۋ4�"σ��RΜm洩ٮ�j34[�����>��O
+J�������n΂�xn
����aq��6�c�1�X)M�
��s㒴|O�_�?g=������{���j�쵢��o��
ǿ
+ʈJ��l<��YC����X�Qm� �
V#�I�E��[��\���f��"�p�1�K���6I��
��&S��(�b �!�
wىk8O�.f�
�DŽ0�{D3��z�1CWUl�j��$߷IO� �HC�멱�Q���_˳\=�O�Rm�{���e�y�
��#��@�F*9����^� �t:��>.�S;�<Ʒ�*@�L����]���`D�}̵8���n	��.����+!`��f��#��{��!=s5
�����K��*�`��+z잺�pz���4|z��&��GgS�3��}Q�$��5��VkW�;i�m��x��\UIZ�gY�׬
+ꗮ��+-��x-b恔v��vI�=\���N����t��GS;�f�X2UO)�U�io%v
D.��&��1�.\_���6�6�����fC�5&�*me�%�ҝ�vv�ͣ���)RT�c���a�
a���1>��6��KuL����#�ϙݜ_/�����m�S��u��d�ں0��ۃ�!����\��Ԗ�v|�L�
#A���[va*�0?C�|{X4��9
�������s�qc�z�p�fm��և��8t�$
+�X��=
�#�U�k���Ѵ4�3��L����%��
u\��|[2�PEp�����2���g�����Mw��*�v�D��Ɂ*T)lɏ,��u�]��1PfHV�wC�|�iN�|�ڂm�#Ҩ�@U��n
6VV�r�bM���G��2�s5;�q�mE
+��H'���>��'PA�
E"�)g�f>f]zk)��4<p�7<p�[�8��޶-P����H�D�j
�
�x
�����D[�RV�yd%9,H޶���܏��̫D
��b��OȳQ!�ME���al�O�9�M�Gn�^�w��
h';o@�����W6�D���E�g(3{��e5z;u��̊r��`�ˀS���+��ahGja��0{����o�
+�2v�)�]#�T�Po
�� s"�'��t��p %i���]���?���VN��F�t`s�4?���:ɪ��a(]�"º��B�࿝�w�!(���x�J�
&�1���V3��)E<�@$w���VJH���[��^��K�7�3�Ŏ��N�#���ef�G��
s��4��5��z�%:}VuP��
�y�"م����-�?��n_�_$�RV-��
 W����_�
L�lpendstream
 endobj
-2757 0 obj <<
+2998 0 obj <<
 /Type /Page
-/Contents 2758 0 R
-/Resources 2756 0 R
+/Contents 2999 0 R
+/Resources 2997 0 R
 /MediaBox [0 0 612 792]
-/Parent 2763 0 R
+/Parent 2988 0 R
 >> endobj
-2759 0 obj <<
-/D [2757 0 R /XYZ 72 720 null]
+3000 0 obj <<
+/D [2998 0 R /XYZ 72 720 null]
 >> endobj
-2760 0 obj <<
-/D [2757 0 R /XYZ 72 589.319 null]
+3001 0 obj <<
+/D [2998 0 R /XYZ 72 589.153 null]
 >> endobj
-2761 0 obj <<
-/D [2757 0 R /XYZ 72 230.598 null]
+3002 0 obj <<
+/D [2998 0 R /XYZ 72 229.991 null]
 >> endobj
-2762 0 obj <<
-/D [2757 0 R /XYZ 72 235.556 null]
+3003 0 obj <<
+/D [2998 0 R /XYZ 72 234.972 null]
 >> endobj
-2756 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F79 926 0 R >>
+2997 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2766 0 obj <<
-/Length 1451      
+3006 0 obj <<
+/Length 1365      
 /Filter /FlateDecode
 >>
 stream
-xڵXKo�6��W��Xq��h�=��[�@�ͥhz�m�"KYI�8�����
N�<��&��<��!���ŻO2^�2��ۅ��X/�2
ѧ͟��{�^�$�.��2T2�u�&��Η�L��L�6�H��2���q���pț�~�����i�����Cޙ���_�?����Z|ʌ�����2�"
-v��ܚk
�aS�4��{�O�l߬15[�
�'+l�D- DĢ(��؃��`,�'
8n;�7w4�
��; �
��#���A���b
BSa�
=���<���a;�q�?� 
-g>��t��/K���<"r`
�g����nJH��v���Q`�)�U�s!��t�����r`�
�f롗#��ʮ��E��ZxA:
!��6�/�Jq�BGk���Gk4���+������M�
-�t�����؀��H�����T�D]
NN�mG�cWPZ�]�R�����qF@���+g��I��
��3%�o�cZ���� ��Ǯ~�qrT�ς6���ݎ��?��2}f�d�0J�Idma�#��hZ��� |��P�k��=�I�Sk)))��򢲬k$E$�YRи*-��m"7��
�٘m~,=R����;���h�k�%
���L�
n���ɽ���qn)-y�w2���%]8S�����2᜼ڸIYc��-�Z"�`=B{���^w.�Z���=�ч�^U
����ڝ
ȷn?��gP�
-��	0��qm�
�i�
P�Y݀U�:��!0�֎��oֆ��}UA�Y�A3{hH޷��
+����h?�<7�
�ނ�kh������m���w�%�AD6ݰظtk�Cf)]B\1��pƀ��h����C��ݷ��غ��T�o�eQ��ce�ը�w�
���d�ۙ�rR/忭�{���}pNc	~����[�>��g��<+�q2-�d n��L$�R���ĕ�'��ʙP[�c����p%��
��}S���;^S1
KO�R��<X�sB���ԇ�S����#�R��R��
�4�𬰸�
���D�I1��p&q�8J-	��E,�	y�%Y�d9%��(��h1]q5�
�]x��[�JčϨ�6��[J����#��AG���P?S.8rF6B:�#� .�A�4�Μq��<�QJ)���+�*��iL��a�gD�Y����#9�"��E&f�P2
̬����JƏ�%��R�YE0H�V��T
-��N�M��<�O��n��ӯʤ�I}}&E���A&=�A�\��q���i��sr��9�cTU5���
TRᓑ~i�d_��T^bq?�APTf���As��@]w��C�A��Q)�4����
8Ӫ��}V�?B��=��ٳ�W�i�m��/�j.��bZ�
r3
-�6m�>�3�[��Gc
���G�x��g�h�J4S\���z������$2�?�}D�;�e�U�i+>��AWdD�m���xy�7G�S�endstream
+x��XKo�6��W���>E����vS�@��K���8JlıS��l��;$g$Ң
g�
,zP�P���|3C�pqrz.��6ftq3\0Y�������
�8��q3�H;����<��BI3�Y�zֳ��&�����x2`v����I䃏a�}��=>S��t���p
�y�״[$$F��~;����sQ��x|TH͸�����F�`!<O���7��eO�$��pg~vgxD�o�qϱ�����
ℳ�V2��ذ9r,��^~
�mP�
y���5ע��\z>l	����Y�E����01�+[�Ԧ
#d7y?��y�(�rx����D޽B^��RU�^};E��N�c�b�����
��oˢL�g���������=��91��Q��
+�Л
���痋����՚P�6h�}6��Ĺ�mǻ�"�9"���_E. �U��ŭ��E��w��X]��%�a<��T�Yi�!�BU5�B��f�	��F���CY�_g�r�3�?o�ޜ+�f5�?.ҋ(tU�*	�qk���~½K.Tȱ�+[F�
o��KP�����!_,�/��ˇƤmn��e��nȈS�X{$x>��Ԕ�RB����'��<P���[�2������uމe�w\�
7k�/{�\
��������OѨU�Z
e�������]�A�������ǎ�>��"3�F�LK�H�����8U�7H�
+��>D�W�N��V�ӴDQ�q��=���"�n9�9�eg�ZɺNz�JG��Q\�]��ƞ���s�P
�\>�d���J�
��i�S|r���`���k��Njx���
&�&�Y
��\��_�A�~����|�_���$��qK���dB\``Q^ۯnj���f�
:��ZfJ�L��K)x&�ae9M4!�P���\�`#����z�l>m�����q;���Z5�mV�d
+v��&'���Y����j^�Jl�A�;�aR�<l��rdYm
��Y
���B�A��mRLi�uGt�U�O.��hT��.1�<c����+�|;) N�
+�e���cGn�)qj���EO�%#�b�tE����Ӽ�3�)�lE���C|�c&6�
�4gUp8�M�
�Zf�$�*��4�<�p\ѩd9�f!��K��ĨD���pV��1*�f�j����f%���W�iɡw`vؙ�Q�S���
S�42g�
��p����MEB}�pMxb�

�qbY��&�4!BZ$m_S�f��&�9���m�kTh�r���)h$8�����/)�_�D�������kz&j���]��P1^��H�GHVs�W6�ǣ��L��/����M��觐Y�ǹ��t#�"�@
���@6���WU�ݔ
�/�'�.N�L6
�endstream
 endobj
-2765 0 obj <<
+3005 0 obj <<
 /Type /Page
-/Contents 2766 0 R
-/Resources 2764 0 R
+/Contents 3006 0 R
+/Resources 3004 0 R
 /MediaBox [0 0 612 792]
-/Parent 2763 0 R
+/Parent 2988 0 R
 >> endobj
-2767 0 obj <<
-/D [2765 0 R /XYZ 72 720 null]
+3007 0 obj <<
+/D [3005 0 R /XYZ 72 720 null]
 >> endobj
-2768 0 obj <<
-/D [2765 0 R /XYZ 72 490.693 null]
+3008 0 obj <<
+/D [3005 0 R /XYZ 72 467.909 null]
 >> endobj
-2769 0 obj <<
-/D [2765 0 R /XYZ 72 274.628 null]
+3009 0 obj <<
+/D [3005 0 R /XYZ 72 255.849 null]
 >> endobj
-2764 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F78 924 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R >>
+3004 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F126 638 0 R /F114 560 0 R /F149 920 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2772 0 obj <<
-/Length 2349      
+3012 0 obj <<
+/Length 2330      
 /Filter /FlateDecode
 >>
 stream
-x��ZK���ϯ�C���l/|�f
x�
��	l�R�L��1+il��W$�5�F��@
 �Q�,�]_�����_:_�*c��ׅ�����q����[)���럿)�O����׷M$qc��2��u[.�϶���o�C3/�����n.f����\�,�TcǼ׉�-:/�p*�ԛe��������JE�
�*G�q/
͔�Hf��*S�QM�����nZ<���ĕ�s�gf�)�e�뢔�i.
��T��U�U�V$��k��U$4��P��EQ±�
-���͈�cB�s�P�3:TEY1
���#�j|��y9>�9����y)���H��b�i���FGZēK��[�P�����c!&Jӓ�֒Y�19�	�V�
�:N��2�[�l�i�鼃_m(�b�����������3)aX˼�
)eF��U�-J���,��1�#�:���W$/D��¨��|����ꏫ7�x�����W
�⋏x��X_U
�����y�kϩ�X�#^/��ML��G���j��I�N���#qe
-.
-	\�l�1���0�^=��W̠v]����
sB����
b���'�G�W�����LP��B!�*�+�m4���f�d̨@j���L��Nh�=ʤ��mbL/[�]\�^��uSo9���;���rU]C�=�P
��5���ݪ�M
O�������ޯ "z�w��P����G��G+��d�!����7�,��
��
�:%��&��5e��Zxf
���ֱj-�}�
=��ְV}ص�b
|��ŗvZ������dc�o���b;v���a'�Htt"��Ey ꑧ.-sg����
jn~�q���
�e(#���v�+)�P�*���'����w�
6/5ǯ�'���_ԫ�|G�z�
�XZ��S1����>�xj���$
������Y` 
-�$��6HF
-�+w[J&�|
[*�����*1u�2X}��_7��(R���_�q��
-��sd��)Li�ݵ�V�*����8��e�{
>Ǐ��	9w`��uӆ��Ҡ�G6��כ����
�P�L��x|Փ�v�>yk2���br)��?kr)��T�u�aK�5TYt��}���GT��(|b`��E�ɤ�a}�
n�K����}����J[��:5Gz>t���MS�&������i��V�&�>m"��nA[��
�eܩ���V�P~?���g�*�<�n2���
q@�A�|-3�K��Y�}=�����M�@��R���,d��A�����bʋQe
%���~��)��I�?2�M��ҥcn�4\��SN�.\����c�?Z�ɵnH/?c$~_�ɭ��&~�=���1ug�B ��g�Dy P�(1�k�?/#z����� 7S'w��
���_+ۮ��e�x��&�+�9�NK㌣�!�
2n�
���lH�MWvh����
9hH
E�˿��m��C�'d��f�t6��p�A~�5O��
���Qˣ�hc~�a϶�&��X�$�4˳<<}sy��m/��I!��rP�)%B���xq���tj��n�-R<�;��v��a�H{qg�=!ko��+��	��Է	�ߤ���.BK��î	�e݄9�CX�o'J�r���^íI
`�o��g��
l�!X<>���AZ��-�
B*���H���@�\��k*?����Ar�y�`�P���(�	]��:f�[�k��!
G:&x�[�8�t_Fu
s��xo��t/H�w�YG�A2� �����>
}8:Z3)]��?�	�h��b�8-G|JL`�&�0Q�
~v����l'���U�+Ep�J)N��,���y�
��d��U��ײt줊M`�����>
-{�b���39	���芒�f�D#����_��ɂ>��~�T��d�w9
�0U�3o΄O�*�>\j��DК���R<MCǜ�/�l��o7uwggS����U�	ex�m
]���0�D�XűA?�B>�U�>�H�ɾ�yE�yE�x�JT�
�����C�e�]��Njzy�߉���n
���'	����g�ف:!�#��%�Ua�J���7����a�J7�dߛ�>�D�`589 "�(+'Q
r��9����)"�	D����.��V>���:O�!��8�0
-� }:8�i8$1+G�28�?��cB
��C�׆!�
`H���y��o2�D5�e��#�D%|����'���'f
-�� � �&c����e�;�b�-V_:�=�<}F�cw�Q0N��;�J�W�B���f��
-��Q��Z���5Mo�ـiS8l�/���L
�z}�0���S���qɷ�K�\B
��%��Ե ^��1����� ��,endstream
+x��ZKoG��W�a$������g�$�`u؅�LQ6�"J����W���{Dz��@�dMu���8Y|�R��	��1��y�3�s�3������)���ɏ߾�5!�
7
�4'Vb�ITBˊLj0��l��������_�ߟ�mV�§�[ܾ�����Q��2��k��&2U%
�Vd�7\����Ls
+FWx�5�Iɜt3��
�c��c��N3�|$���<���G��(:��W�.ߓ�x���~���/��
}�wC���}�zi��⁚�LM!�
�o:009����,�%^$�E���A_�� m�w��M��}��1!}����9o(c@ U�^G�w{�xw�y->�9����V��n�"�on�!����䪎��x�M"�׮�Bds�V�)�4���X�Y]���
�tL��>�=]E\��f6��Q�î~u���B�-7����N//O[��LJX�2o�'�l���=s6��S�0�=���dAB�Nt�Z&����������oyw��ݏ
�h��G\sv�.�!6҇��?�
��ª�x��B71��
�*:�!�
+O���#�e�.�	��@��)��qĽz\a�P���
+
μ03*gfT�
7�T��a=	��~W���e at a�����c#�
��Ę
+7�RT�O�ɱ�	��H��M�WN-�p�!WW|LUuMߦ�oe�<OT�6�	d
��ȯ�l
�Ðu���t�]6���&�U1�
z�(���?V�
�b����{7�oZ�P���{�ET�E,�p��)21ĤL!��P[Y�©��Ƽ)]�O%Z
�YN�i�u���(�6[�Z��Cs������n�`��_J�DpEa�b)��S�#E,#������M��N\f)�����x���7�[�D���Rǖ�FS�#�y�#�"$�ɼ���L���z�夺
]:	e�Π�-&�����p�Ԣ�4��r��n}Z22}q�o��ﱸܕj�#��vE���
�7�,�L&�G"���	��a�`�k��@���(-a8}
�V�	�TՀ��U��Z�����g7��K�
+���R�QvХנ���m������]
3��d���g�

		IJ
BO�)*�
����ɴ9r���}��
;�^��i7���;
��/0���|�>w̃Z�t��b�dri�"G�q��;b�M��ֵ��h�=k��x�F�B)��l
oPq�]Q�����+18gsZ�B
+��%�vuà�/S�@����Ļ�<�=T��}��G����8�x�_�)|,r��Z���N�����;��]@�)y��6���Vu���iJ����ިh��A}
%j1�EU�c��;�5�&|
(=*34���d��P}���P����4��,jA
��k�0 �;r?�W.k|�C�����UI��m?c4�k�1���ѳ��B�v*��Q�d�l0�6��`J�a.��(�3�|�
�2��?����d�L&�G2�~��d��@��u��U�]"9-K�Ϙ^�|��Ji�i�CjҪi�N� ݵ��k��3����Ͻ֋�+lJU=�=��b����3��>o*�ꫳ��a�BV��	񬙙Ȓ��9���,�i}]a�m� ��i���Ю�đh/�4P�0
�}����s�{S�����2�lJ���PO���r�Ο�a޷�@a�@�<>0�ʻ�@`G��[��G*�}pC)7����U�����`+�VpfL�z$�g!�N��
��� 4J~sT����
+��x�#
:%����8�3E +��$�UԊ��V_����Hx����V�$ŴO��n�hͤt-1]Tq�:��2�N�O���VT�������@
2��0hx%�n�@-����YB:��y�x�~O
+��W�*�͵9
;�}�催�ykpq�>,>��� �����)�L�����_��n�N��T��d��-
�8H��&�V��8 ��Z
��

�
�ȓc
B��xL�5���۪�
�R��U~`����q�8�E�V)�<1
���f��,�zEYF�����aE�D��u��aF0Os�9�Z=M��<���믳s�D#���9E��
���=m3����1�q�����"�2!
+� >�C.�}����0�f\Z>x�Ƽ��n�T;N�̣�X?	��ʂ A���=���q��Q5���2����@YÑ
_�GP��Y�I K� ����:��
(ף��u%3������їl�/?�� �D�n����@��p��:@�c��/[bE`n�5��4
��J��P����"��Q(�_��+kM�P="�
������ڰK�s9�'��v}հ�
���&>�JO�����K����)7endstream
 endobj
-2771 0 obj <<
+3011 0 obj <<
 /Type /Page
-/Contents 2772 0 R
-/Resources 2770 0 R
+/Contents 3012 0 R
+/Resources 3010 0 R
 /MediaBox [0 0 612 792]
-/Parent 2763 0 R
+/Parent 2988 0 R
 >> endobj
-2773 0 obj <<
-/D [2771 0 R /XYZ 72 720 null]
+3013 0 obj <<
+/D [3011 0 R /XYZ 72 720 null]
 >> endobj
-2774 0 obj <<
-/D [2771 0 R /XYZ 72 538.97 null]
+3014 0 obj <<
+/D [3011 0 R /XYZ 72 539.008 null]
 >> endobj
-2770 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F48 554 0 R /F32 668 0 R /F51 1171 0 R /F35 1440 0 R /F54 1447 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F52 1472 0 R /F41 1704 0 R >>
+3010 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F69 550 0 R /F35 663 0 R /F72 1166 0 R /F38 1435 0 R /F75 1442 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2777 0 obj <<
-/Length 2284      
+3017 0 obj <<
+/Length 2224      
 /Filter /FlateDecode
 >>
 stream
-xڽY[oܸ~ϯ0}�W�nT�>$Φh]o���@��y��Q����Ɨ�o�wxH�f�	�.�I�r�w�s!���շ���LJQf�����PgE�E����{�a7���
I�E?��iT5ڙ��7����g�㳅RBbGZ|�1XVʨ�#��kn�jy��hC�8�	�e��w�]v�-�V�'/iaK��
-��
x|7�u�]���v��[�2�]�c��z����m��>f+�Q;��6��|�c���VQד���LE��V9�Tm�s�%*�j�[>�6ݎ�]��A*�#��O��>���
-{��d��5��!���~����G��?O��%5V��w<�
�ѭr�H��V��
����|eq���<aP�����Cpfs=�܂WX��!\��pg�
�|
��y��FMu۸/�XVH���
�S�J�����%O2��M��	���.�yZ���܂����!�	
�,f[��*���y13gh�)0���V���(��Ѻ�Ӷ�a
ݟ/���hz�U�ëz�SH����9��w4�G P���Nd�^fMk�+��ߎ!?/
-�s}
.N��IR�2\Q�
�"w3�*2�/$>4�!OE�jgx6ب"�A�Z�X;�� C��5#v�mE�}�~�� 5M�6�I4�	M�Φ�v�ԛ �3�K�$
%����
32�`�Fʣ�H�J
} �7�g)Lc��C��<��c�dJIJ<�s^E��<��m|�,�K�G&=�W�"μ�
���60u=�L��p�mjx���o1YC��z�p����
-E�ae�
tV2�!E{r���w�c����b���쓍�5�ܑ�N�&�E��%�,���� ��1c9$��e~���p�8���y�Xr?�V}�
]�:�
vTi������R��п�E_��H��d�l�,�%
�D
#&��.
��> �9m`��f���-�KW[�|�	6w�6�!vU���M���7��
- 7��c�xR�!kv[+16]"n ���[
�q!�1<G
]�H�`�^�6_��k�'
�����,)��P���,�E9| �G!�E�jp�_�hI�

|��;
`�"�
 W䭏�Ma���vi�'h�i:)�$<	���Oj�:9K��8�����"QH4�$r���Fv\�R�J�̱f�F�����* C��'˙[%�G�ʬ)��B�;�
�Jۀ(�.q�1��HL�Pm�*ћ�`��d+�H9%�61�.3��
��`؛??�W
�`�|��F�y��;��C��
G٣V�	��
	
5�'�g .l)�.Q���P�aG���3�<��J�\���U	�:Pa`F�/+�C��Ǽ�-Š]c��+�)c�s	���Lᥡ[��b���[��RgYSh���
�l�6�
(�~�m��{����Z)�2�~�k�j�׫��nj��B�Ө϶� v���9�m�h,�����B��)�� �&
�`_ӻ���7�%l4+�3--���)��BT�ˮLD�_0���=h.�~v��]ʓ�I�B>�M
-)P��Yb��H�%�	�T3�L��_Fυqw��vq�V�'���{S���DCΖ�gˑ'�W�lDŽ$.���~'[�Z�g�H(�,��nU����qEMoV������4��%���,�ĺ��)q��̣�;���N��4�]�U����*=ؠ6=�`�z�.��+��z�_��G�p���r4�/�i��}e
�M}k��?sz@�M��2=R7��QI�c%�ldw;z��WF�}e
8�ѵ�?����z�/�\b�ñ�.��}c���?Q�[��fF�s������u�[��
�(���}�~i3~�p�yW������@anLuAF�����(9
�R����<��j��5ј�7���w����ؿ����襵(.��R�Z��L���@�m+�~�՝	�q���V�*����G������
U��V"3XGo;��t9�W��@��h��ݙ�q��
���{��3���׎�4�����lMO�������X�%ֵp�0�
O��X�ؘ�q�۞�W� [...]
�Z��l~�*���9b�����_A�_>:���Wm�O.�����B�_��]H_B��In��@44'�w
�kK�
{��I��
��y�i�;��C�,���݌S�*���n^���0endstream
+xڽ�n�6�}�"(�AbV�$�*�3i�h��e�-�������ǞZN�i�~{ύ%Sq�� ["��B��x�����UU'˓Ҝ��Si_��&�Ntr�����;��<�aR��
F�8U7��/�����
������P\\`
�a���C�w�24�d���'�L�q K~�q�<W
<G�[yzς�in31�v��Bh=n���;��y�%.�h���Q��2���1s�������˚���Lmf�7�,�P~(1��<�$��W��VĄ�ק����dlW�ډD��OX/�؁b`���6���D�Β��_#���,}��K��
��C�O��V0.ڵ4�)�}$�
�Z.��AV7�|�!_z�11z� �ϊ�D`�A�`Q��fӾ�`�'~oh�Vw�x)-��EkgkY{��ƀO��6�>c�2� ���;DV�4�d�e�#��'�*�Y^���K7�D�Z��UK��2�%��u�"�N���
XV=�X��H�Й�,Y�d�[���'Sp�op����!�!�+��/nB� J�z�Ŵe���v炤���p�� �ؓt#�+���&��'i2s������w��:U�W.+т�(�J�M����3��౜	�kN8��
��cΉb���^��@*W4uA�R���!A�=
�6^��'r]R�m�l�S2�o9�I�kp��GS�FV�}��*p�qyP�y��
�|�Yx3�J
# [Jo��.Џ�MS��֡��
��d
kZ��A	ey���i`�8CŅ�;�Ө%�2�A��tb�I�H�k����9b�U������-�mZd����>F�4{N�HUi� :�6�
+��*�R徍�.�A��+,��C:��K��c�k����Sq3�9��SUe$���H
+�K$�y,��s	עE�"֍_�.2z"��6mb?�C7oIn�����+�S0E�
�F
#3�+�i/›����P��c[y���|������
+
V
��]�1��)�_��D�C�
�l�zS$9E,L�Rwn��6Hr
x1���C�$�͘Wr������&�ނ���e�2���.
�gv^G$��k�/�A1�@��a
F��.;�U�qL0��m��h�T4�dP�bh��J��!&��t0]�qH�Ō��,
+�+g���ih���n�2N~�\a�*W�
���
�������y����>"���ʊ��'���j�����oK��4w�f������r���E�,o�Y�pq���A�&�����b���υC���
�,W���C�܂a$�VYW��w�R~�_��܏m^<j.
K��]И��#�/R��É6��\K\\�s��G�"mQN=�o;�⦪�.=����y��NY]>�OC�/G|�@�i/���H�ՠ�!_B�TF����B(śp�YT���i�Hc��ck�9dzD¢k�
Gg��#��uI�b���-[T:��P�y<��Z�7�īv/ac�k
��i
�͠���t�k��M.��m�_oF|&|U^{|aM�k2����[W��c�*�G�D�U��U̷A[E:���KC�x�����y��d�L�ĵ
ԤRY��zFԜ��2i�i�k��g��2y-�!��C�#F�<GM�� ����

WB1]����/V]���=�����:����;��O�pY{�����vrL� ����
1�s���~xE*{[��
�+��^"��7�&�/G����ꫮ�X�ig\ko�
��[dM	
���wma�p��L^)>���P����rxʋ�ʊs�������S�BH�#Vk��-�k��s ;����"Mf�9�g86Cn��<2���6��v� [...]
�
c
��p��p���^�õgx����q
���c\�	
r���փcSb� z�oV���h_�a�iij޶!�
��� ɰ���1�V"�}?��<�8k�;œDM%�uP2��
�r�b���&�n|{5*��t���}}�
�Ġ���=��P

0�����Um��/�����+�e��ݞ���}����Uþ�eK޿=�,ع���f��W$��9�Ω�?�y,���
���a�����M�-��ݼ���]`�7ë�h��U�̓���ߍF��l�8�1���F�V��}����
�ٕr�"S�?��	��U���JnLendstream
 endobj
-2776 0 obj <<
+3016 0 obj <<
 /Type /Page
-/Contents 2777 0 R
-/Resources 2775 0 R
+/Contents 3017 0 R
+/Resources 3015 0 R
 /MediaBox [0 0 612 792]
-/Parent 2763 0 R
+/Parent 2988 0 R
 >> endobj
-2778 0 obj <<
-/D [2776 0 R /XYZ 72 720 null]
+3018 0 obj <<
+/D [3016 0 R /XYZ 72 720 null]
 >> endobj
-2779 0 obj <<
-/D [2776 0 R /XYZ 72 697.999 null]
+3019 0 obj <<
+/D [3016 0 R /XYZ 72 698.015 null]
 >> endobj
-2780 0 obj <<
-/D [2776 0 R /XYZ 72 295.301 null]
+3020 0 obj <<
+/D [3016 0 R /XYZ 72 295.343 null]
 >> endobj
-2775 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F29 672 0 R /F48 554 0 R /F76 747 0 R >>
+3015 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F69 550 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2783 0 obj <<
-/Length 1648      
+3023 0 obj <<
+/Length 1627      
 /Filter /FlateDecode
 >>
 stream
-xڵWKo�F��WF$jn�K.A[�M
 �� �4hz`ȕ̖"
��%��;��Dڔ�������7��������Q���PR/���X-b?~��G*W:?������cD
"L��'Ҧ�f��gډ`
�K����$r޶E	�uV�^��e�.u=��y��Y�05��Y"]͛K
�<~�d�C�z,<{���HeB
-��`�7+b�s�!��+s
嘺0� �pS�dD�}�L�&�h!A�&=���"��}����
Y�l��j��v[���{cCagݸ��������w.�6��g�
� ����\M&��`��Y�
a������r\� ����“�È�6%����)QRB:���M���f��B��*A�s�A@�s�6l��q���P��q1D�_֫N
�p�"P3�!
-H˫�u0�=���X)!A R��zZ�΃�0��<�&
��c�h�'_��X��
!�q�#|$
������v
-����
S��G���b�邢�,q���لv�C䶌
�K�m�
�

1x�Շ����7=$gB���N�,��N4T�����}zܣ�C_iE���q'��m�8##���
��#�"�-)'���Wl�K����mH���{�k1U���T(5ƣ!s��X��9o�k<��5t�ˊj��5gP.#,��1��
o�ɨl��_N�JE,T�(-���*t� s�DZ�yu)_�Ž'55��Q�h;G��\�*>3-�.�4+���ȏ=�/(�0���abfD{�'�PT��)�q�&M�`�E�K��h���Pc��(₪��MLN-&����>��$��1���!�8BP�I��{a�ָ�

:��Oy���r@�r�x��ޢ�ǐ{?�FB��@�5���ЌODUW�Й�p
-d	��Ib-���P�����!y��r�s�d1oZ�gs�];�gqo�p��=��7,+�%��n8�^�X�Թ�ycONMș(��p���:�!��1��ڟ�
8�o(�7���j�D�
��`0߰�Y���0~
�N�ȹ2��+�)�N���΍�l-CY/)�ЖOc�P~��/x
��	�q�
�e�iأn��}����6�bR�.E2�gv2ܶ��(닝H1t�L�
E �̸���I�D�ȅx��5��
7�y����M�8*87՘[��1�I
wfe�Cw�ex/�a(��ő):M�W����N�#��4�?O\�(�! 
�YNx��@�/��g���)3&��ſ���l�u������k��e�a���ƶ9M[p�@��q�s��=,^��"5�&��07�(A�	c����Q��t��C�l8YӭE���
�Dg�h�!��ڴ�;��hH�z�uݨ=���!aB�h0���7�:r��63	�hTؾ:4�C�n}5@��N
�/�I��7h�����)�1#�0���\
�-���3���3
-�
9��t�{ ���R�l�2��6W���u����G!5>��셔���|�L{��5ξC�����M/
�֒o�P����K�\~
�+xw &������'_�=͋q�8�<�~G��lGj�'���}=O�	BECw¯k��4���֚nS���z2NE��l���
]G�x(��
�n� ��D���,�T$	{Fi`���������endstream
+xڭX�o�6�_a{��H?��b
����X�&-V,{pm9��؁�$�
���xw�(���m�(��x��'��ճoB�D
K����\��
_���b"��
;.&\�<2�x2kU��� �
+
���g	ώ�Z+�*N�d��H�����e=E9�J���/�By4��y5~WN""��e�TK�bMT
��%�o�v^"���7�X�H�؈�z�S^��a�[���1����

�h=/�e9�����(�1��鉨H3�`��D�e$�Xfux_�Vt�J|����T���5K�	0��Q�U�ӷ�	ˣ�rE-т�OY �=��Hz�\�5���4�����!�"��3g!���6�sv�4b|��MF�б�Z.��3ɏ�LA
�8ÖN�-Mo
�"&�'+���;^1TeE,�
hf��B���<)���Ӛ�Y�^8՞[T"��-^>!��}Z�{/r}&)�)G��'Q
+��7ǻ3�~è�(yoK��:I^�b
�%���Ȥi(H�z����ϛ?-���,h^뀿_��g��/p��̽���X�O,��`E��Đ�BV��;4E�A��R��Tu�RKt׃˜;������IU�w�XJ�?/B�����B

x�!���'�QԹ��aعta�BO��;'�&�C�f&��+c_�����q{�m� �,��b��qɺ�hϝ�4S�
O̮��V��ӑ�%Nf2�I��a/�i-B�œ(����-(q��0Ґ��l����uΛv�F����lY�s�����9��s*x��̸���2"�
���������o<~��ʟN�^����R�LeZQ�B�L�4��-"�
C
����2�γ�ӿ�޾
K#z.,����~
-�r�؊i���T�P����-$��D<�=�yQI^��F�	��~h���i,�<��Y,��l>:���p��}�t���Kt����[ꮈ�d#��n+f��bv�c����4H(tJ�E
K���iB��M�0���$b���V��y���xy B�X�-�O����
�
�+�j��vg 64�$��/ }\�yI
�v�C����բ�ix�����δ
�'�R
�H�'i�t���}8�}O���/m at w�g�n9�VM[-���*5lএ't�m������f�W`ƃ��� ���Oo� x}��l�G��
�j`b-I�7�贁�s�����/�,�l`ݤ�J�B�n���Ys�s��]�]���m�K�G�T��1|g��wl��xs���Y]�-ձ
+���]v�^�	�C��Kz]��w��a^1�Ī�Q�)�]ް�.B��ϭ���>���S+��~c���:�3Ig��)σ}�T�9��6ef�
]��'��\
{t'F{�H8�!C�ﶳ
(G���^�̰����7��5X��ٍϜrΖ�sv#�?�2�%�	Cy��{9r�ݎ���tJ.�o:K-���
�T��
�t3�
+:�
�G��+nΛl�nY�W�o�9}
+�����y�� $D��� 
��Z�E�z�>>}���3)���ס<��c0���m�N�m�
��Q!V'���I76���Gn��&��s߹���W�N�&�MmV�c�l��u9<��vq���҉�endstream
 endobj
-2782 0 obj <<
+3022 0 obj <<
 /Type /Page
-/Contents 2783 0 R
-/Resources 2781 0 R
+/Contents 3023 0 R
+/Resources 3021 0 R
 /MediaBox [0 0 612 792]
-/Parent 2763 0 R
-/Annots [ 2786 0 R 2787 0 R ]
+/Parent 3030 0 R
+/Annots [ 3026 0 R 3027 0 R ]
 >> endobj
-2786 0 obj <<
+3026 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [354.074 476.643 361.919 489.594]
+/Rect [354.098 474.38 361.937 487.323]
 /Subtype /Link
 /A << /S /GoTo /D (Item.166) >>
 >> endobj
-2787 0 obj <<
+3027 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [222.757 462.529 230.602 475.148]
+/Rect [222.558 460.269 230.397 472.811]
 /Subtype /Link
 /A << /S /GoTo /D (Item.254) >>
 >> endobj
-2784 0 obj <<
-/D [2782 0 R /XYZ 72 720 null]
+3024 0 obj <<
+/D [3022 0 R /XYZ 72 720 null]
 >> endobj
-426 0 obj <<
-/D [2782 0 R /XYZ 72 720 null]
+422 0 obj <<
+/D [3022 0 R /XYZ 72 720 null]
 >> endobj
-2785 0 obj <<
-/D [2782 0 R /XYZ 72 604.441 null]
+3025 0 obj <<
+/D [3022 0 R /XYZ 72 604.229 null]
 >> endobj
-2788 0 obj <<
-/D [2782 0 R /XYZ 72 424.894 null]
+3028 0 obj <<
+/D [3022 0 R /XYZ 72 422.401 null]
 >> endobj
-2789 0 obj <<
-/D [2782 0 R /XYZ 72 429.619 null]
+3029 0 obj <<
+/D [3022 0 R /XYZ 72 427.382 null]
 >> endobj
-2781 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R >>
+3021 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2792 0 obj <<
-/Length 2438      
+3033 0 obj <<
+/Length 2412      
 /Filter /FlateDecode
 >>
 stream
-x��YKs���W�r�*o�3;9le'US��M�\��{�%��"
�
{�ߞn4@�dy
��T.&@B�~|_w����7���	�rcfoof�e�����ެ�K�X�,���v]�X*i����P�b)滅��A�*�ůo�̄a�l)2��"~haU����n�[x}W���q�
��k�GZ��Rjft��e�4B�zX�W�pt8kV(���x/H���(*���j[��D3Km�*4�Z��פ�],aͺ
s��ƻ���5Us{`�
-��%x��Y���m�Gb���f��d�C3���Q�[���(:�t��G�
V蘮������b$�����_��]���܀/^�����q���z�_8�) �fZB�Ft�
~�F~���Ú-�S�>��������O*Ț��h���]��(z�$���F� �����ީ����ٶ,t1"�_��C�o1�V2+s�
��Vޯ�jKɌtaUGZO��g A��t[�U_D#Pb"GCo��|,3Ä���D�b����e>������Є+�>�����EW�Uf+��hO�<؅���kA4�,��� �Uv�1��9h|�.�ǧ�)�U ��QT�Q�P�}�k<\�����
Mx6i��u�pDZdh�Z>��}d��}��㗌��fL���i`v\�!o���J%�*����6q/��9.��l�B0dR��j�� ���6�~�}�f��{/�
�oF����>Qr.���{�\�@�!���+u_����cw*�b��q
-n}�D��4��1D
���L�9
-���Di0P�4���݇κ�yK�3i�l�8�Vx�G�	_�ұ�L�P���&')���!I�L
��9�;�l��� �T�}
S��~�5K�L�di���y�|�)Z޶ǵZ)0
-_ܑ�f
�.}��!.�����vG_q��n�ۀU�d�}����Y��i
s����Ƌ����ȓ���O�8�	k�|���L:;�EV�����_` �+�&�n�E�}}�0HH���7	�`�]�`I�/�e��Ru��1�8n}�P�����-�
	�zG��X��:��1��9��`�%J]I�Ӫ9n�no7�<7��؟�%
�j�|�)��$�
&�����GS6}rŠ�)���
-K�r�:?*z�7�uLb��G��	j��{_W:� �L�v�2Ef
b rd�
؜3���fJQ}Ź:���.gK�$,~��J�$Ma
��L ��y��������u�f?tY��}	T�CM��
�U��'��]u}�Z
<���
w�gŶ�� rW\�#�88N)J��
R21ۯI�� 2Q ��3Q���t�F)��X)%��T�܌�t�U�-�
-.������&�,�rb���L��甇B�(�Ar�#��%���j��c7�ƛA�0*l�2!N�9�Y6/��vD
�])�?����!��&����y	ے�M�m��P�3�Bڴ��s��q�F�y��8�9�7�j"҉���nR" �6b����
���~P�2=���P��&�,�)���FM� u���	�l�=�`y���Y3e�I�D�9ޛ��ªld?�T�Bc<�O�;c��n~�E��S���Km�K��u��������Kz�f!ll���S�2�������ƸOZ��F~M�b�	oA�ǔY'�)wSg��D�S���v��P*w%
����6m��)QL?��b��nt9r������{��]�qN��
����|,q�n	���&���Q��b�"'��ɒ;�r5x�‰@C�ˠ&�[��Q�Lu�%���4]�J�	�֌�b�^@�E�S�����;)�)�@�)*�t,qD
�G	�@cBPP���� �q�=݇�/�EhG�g� e�%8e �d�,z
�
���
h�|�O�[l�y6���t��
�����E�g"v
-�3��w�p>.'��G�	��$]<6]RF	#X�Ą#���G�χ���Z�_���)G�(7�����s�'��/��б� =@�J�P?�N�ѐ��ͧ
�!�ط2�~*\�a'���%�Ǐ�JᄊZ3��'�
�lr
�r��l`�p���V>X�AR�.T*�#p�xw�|�r�d�
+4��
�p�fߕN�'�'a9���`)'[�e^<�\|����)#�W73�l1B�Vۋ]��+��/����� �>��3	�m/��Na~Z_�t�A�2
-[��}w��aK��J�K81�?��q:N���� �D��׉�z2N����t 	O]�Yrq�T�4����K�����������1_�����,-%���p� R�	J
�[�#�5%��ٌ�b��M��17%�/a�ѱL��/�f�
I;��%7 D|:7���:��$��yx}����#�:K������7$<�;C~9i��X���I��L�/YЂ��I3l����]���{������U� C��SЉz
i�sn����@endstream
+x��ZKs�6��W�r�*&�7�If�d�j*[�T��V&�D[���5�g��i 
� Q��l6��$4��~���r��^��J��򪰚�
C-�F��N��Mɬ������5���_s?+W��p�
e�v/�
�[���˷��UQ��0#<�_7�M�vT��
nWnaxl�p���[���q9]­{u�@��7
X�x�'�lUP�M��=7��m��c~yOr	
���bV*ΧuWm�͑��ud9䮋���O���K��$��-��0��(? �
R���.�QDH
7�H��"lT�R�cc
�­_ܼB��I �E��U�)��! �����=x���7p[v3j���3�lAQ�AW�
U�G�p��|
�,��=\�H~
�
��l��_t��
�ț~
._��
^�����
O��JP�����ɪ��TO�J���P��)�
�Ml����P
с-�-�*6U
+��5!�~J�,r?�裛˧fJ�|�q���M ���
+�ǜhuܧ�p�f��_弚kNTe�1;38���D�t�T�}����sױ�Q�,a�J/���u���1� �V&E�n�h�˄rJA��A�mZZO
B�;�K�6����s�&��rބ�$�� V�.�B���㗟�F�!��C�(n�)4	�Ȼ��wCw�>�������f�(�Q��H�{:��ـ�Q�"Ibj^VI<^}6~�� �!�w_x�<��nB~��@�',�.!�I
J�ۀ�An}BeG�E��X�r�(|���c�``\�@��32l3�a����SO?���L�N���7�1�;#u5'Sc2���Z�� ���.$���
13���S��O<M�P
˻�	��Tƽ��T
��K�Rי�
�Tݜ���r��o´�s��[�P!�x3�NrlZ,:j~�m���d���dNg�@�j�������̴�3Uq6� ��
(�(�����A������_>�6
8��Ͻ���Am+4#\��م �����	Ww(�6Ld��3B3� [...]
A7�)W%���0�
+���3����(���ɞ
J������~��t��7��0YI(�ad����]����%�d����I���3"-*��
K�=Z;D!u	g��0e�O�����$��}�^�"��4�0�6UD��I"�N�8�W%,YQ�+y"`	!


C[+�s}�~1�&T�E))�ٶ�jW�M
+�x�gs���$	`
�Zm_���xD�}�-�*������&;�S�K��gRNl�0��\�l��ɴ ��<I
9���=��̌��
�[�Y	WB��"`��ʏ�D�y�b$�!���K
`-
�}<D&̨ �H�eDK$���q��F-��"1��3)�R,Qz�I�T���
IѮ��mjܣ��/
���YYv�3����,�gz��
:��>���TAdm��I���*�u.�*bd
�79*�"��
p�[�
y�-�p+Sno��q+[�
ʝNbe�&,k�T�����lAA4
��N�NO�V*��'b�K��kI�,����Z� �=�mK�����Ls��,�j=J3}�.:\L�|
�Θ{��PA!@U}{-�y
b�nE�X�`|���z:���G	B`3�
=�}t���l�

�P�&\�hի
�mC��J�^�a©�
�, :<"
Ȧ@85���� �H��� g� �'�R��|]�m�;�C�6�A���t�T��yUflv�.y���",S�H��ս�/�{�L��z�4��$��N� >0�� ������9C���z�,�\W��	GZ(w�CE���[(炱������y�;�{��+"ԫ�
�d��
3��!JP�9��E����y�.L
P
s���%���X,O
r��dT��_nx��0�uK�y
w
�'ك���O0\�~���F=��.�)�:�.fI]�
+e��B�?�S2��?�
i ^

�
�Ͱ��Zr�U�u/A) �u������)�%��t[.�UZ�",�y�����3��)I #�1eC�S?�
�ٻ0�J�7�AϢ�1D����0�^��O��uR�L�|9qc�`�P
z
�AC�*^l'����-�Z��@�
+��#�S�A�����m������O-�2+j�
�ʢ�RA�!昒s�?4�_

ՓG��%��gꉽLOJ�k��
;�x�-$����K��m�׃ߙ���W��x��(�B�O���!�`z����h
��B�zO5�x��?���S9T�LAg�>��<5+j���nI�����j�j�L=�CO

�Ai�yj�� ^p,}�՛?��� B��&�oB�v��"R�#�
��v�v˗:�E��G͟';fO������܉�?�4�� h: ����endstream
 endobj
-2791 0 obj <<
+3032 0 obj <<
 /Type /Page
-/Contents 2792 0 R
-/Resources 2790 0 R
+/Contents 3033 0 R
+/Resources 3031 0 R
 /MediaBox [0 0 612 792]
-/Parent 2763 0 R
+/Parent 3030 0 R
 >> endobj
-2793 0 obj <<
-/D [2791 0 R /XYZ 72 720 null]
+3034 0 obj <<
+/D [3032 0 R /XYZ 72 720 null]
 >> endobj
-2794 0 obj <<
-/D [2791 0 R /XYZ 72 720 null]
+3035 0 obj <<
+/D [3032 0 R /XYZ 72 720 null]
 >> endobj
-2795 0 obj <<
-/D [2791 0 R /XYZ 72 392.611 null]
+3036 0 obj <<
+/D [3032 0 R /XYZ 72 415.244 null]
 >> endobj
-2790 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F54 1447 0 R /F32 668 0 R /F48 554 0 R >>
+3031 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F167 1942 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F75 1442 0 R /F35 663 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2798 0 obj <<
-/Length 2790      
-/Filter /FlateDecode
->>
-stream
-x��Zݏ�6߿�(�A�Ŭ�%���@4/mq���<hm٫��\Y�fs���7�!�����fӢ���"E
����߽���Uf&�3����rb�Ĥ9K�o���v*y�NyR��r?�I��Kz��RNg<i�};}�����L>��
��d&�0#'xJE6
șI�$uc�� M!MR~�����rA]�Z'���,a�]�==�饖�0���C�p�`2U~�_"42�G���C�G�2w�j�C�QXP�@cQm�5��8nBv_nj��E��H���6SxwXcg[��=}S/�,4E��rQ9yǓ���\��bJe��]��^�պjI�b�7��^q�9N|��&���˕w��Ke(֌3-'3ə��}��e2�zѥB�i DC���A�/#`�A�"4�<�O�q�H���^Ӓ��'�YC��������t�
-5���&°Ԙ	�_���}ڝ	�����C
񡁊gD
�b��,����.Mc��� �O�%k1���АL�|4W�&
j�\}��
-��%A�9���,��d�������t��J'��R� ���sʄ���U��B�o���~�sGk��Ծà8b��,9�)2��
����N�	��R=ɳz�{9�'}���z��I���=�s� (�L��>�#�J&��	�^F�^�n�%�

XR�@L:��2dn/t��9�8�4�(̾���Le2�3��y�	��
�X
g�X>M`|��G7����%��"B�'��r�i�U�q*��Rj/(�/���o���`����
��	|���W�
p������v姯�mS] ���-���O5/rŸ�+�����*@I�@a�R� ����%O�
�
-^���%2T��ѐ���\:L��ȉ�=�t_�"�����r�D�����U�(�4�q��("��1'�#/��d�
�3^�x.�
�*y����z_6d���2gG{2�z[��\
N���q�Q�I �7e[z�0ɡ�כr7L����2�c-��$˦��}O��h��a8�~�oÇ=�w���Q"C��V�,��nſޘC�Z..���[�IVhzq��_poy N�Z k�����Ss"�@͙f��
�{'� ɇX
����(
��<¤bF�Q~��-�w����ՐCB�����= 51�ڈ��Ђ��ɲnbx��9S�
�y�e�IbɕC^5!ο�x���9�e�g��
�|=��&�ʙ�)g ��<k���`d2����gE�>�>���I]�
�
�i�}��W�L�XQ��~F?A�o�`Ӈx�6!A���)pS�>u�j�['�4(l��3OːflOEB���JF�^ɘ���
�ґ�8v��ܶ/M}�uA�qЄ�:�
-���8*<�b�'JI(��� ���!ZwzZ�1��j��(K
9�6�1-�M�+�	H�C��p�ǟ
-��xu��K���z�zh�H��%�r�?������Q�[=L�h��S��#����
�
-r�#V��K�3�a��h�. xq��KRQ$m����ȍ�4�m�G3)& <<0����f��3gn�3����Ԯ]��6ZԈ�Q�� ��$���i�	g�]��aiΔ+�
�)Uk�7��b�TL
-�e+4̀�� �ʬ��
����0�Q�O�b��h
^QM�TR�K���௶T�� 
-��u�U1L���掕�5�-4x�Z�cUJe�/�ّ����L�RCS�)�H
��x���݉/�;y��(?�0�B�r\��|�����9B��A"W�mD�A	i�������^�� sG
���j
��ל�qa3/�r�-b
�t?Z�I
j�]�9ܥE�]�!�.�=�
-�TG�P��2p
|C�K���#��E���u�+�7�E0�\N�s�stY�avuE�
��c�,,�4�^��� /�
�
𒐰�'%&��_�<�ـXx�S(4<��;�9r����%�K���KĀ���$�q��
�r�9�y��������G�/�ǧ
P=K0AA�x�1?��_��#��H+b3���7�:���u��ݠ�
<�?1�R .�� ���K�	��\��D 8�]�e)��Gwް;�tw�S��R<�k<�3��C�9n��}'*������M���VԜכ

i9k��s�-C���+'�?��w�Ú���˺ل�6�w{S�3��n��q��~��[6�e��j���oa���?�.6�u	v��H*X����=P�9l��r�y�)��3`�u:�\'��>��s���P��cw��_�,�\�yF����՚����oj��^��`�<���M18�
���_
vN�� b� �Hq�y�� 6�
9��t
4QJ��M7�����Z9�օ���Ʃ�h��RwL���xh#���L̙������Ǩ|L\��̅~ �<٣>�#�&�Ąh T
��P(���D9Df,�nV9S/��(`�x����|�dL����C<��8T�Z��L�S�
�'ɔuG��>f
��%-�����7Ɨ�a�Rc�l���&
7G~�}�;^=�nb�V)�*��
�L(�ϑ��0Nh:�\q:�� �������!M����e���p*�=�j�#�ᴲ��#�}�;VϸPN�<������iۺ��c?��w'�>��kt���)*#�^�p'/��]����C����}FSZci�B-�P����yT=�d�sa9>���xB�I./�.����t� }z	�31|�M1o��1(�	5>��O,H��~��=�X.u�+
-tm9�G�o+r�p�
��m"��
�F�i�����
�t�>�C��cB�����endstream
+3039 0 obj <<
+/Length 2666      
+/Filter /FlateDecode
+>>
+stream
+x��Z[o
�~ׯy�E�,�CҮ_$@������Ҭ*C+9ڕ/)�ߞ��r��]G�Ӡ~�fv�s��~��7�'��1�0F�R��Ѽ��*������%[ܭ��z)�b����p�v˕�rq��M��>��b��}q����1MT۬8'Li��9g4���@F4U
�cN���.W\�E���q�.�3��<�x�Tjᄾr�G9݋�TE��9
j1cy�
g��g�@n*��D�$�20v�q��
̜D���
[�G���
2�/��n�E�b���?vSt�uq�:���b�>�.�񓽊���n"�� Ǧ"�Se��DLJ������F)[?���2�}?���
+�T$�Zt%��?8K�w��#�
��ό�2�D�����b*���`)Z!$�R����� 'Q<�� ٻë
+Ek
wQ��)�+����!.,��~֤���V̲�
��~���pM��
��}u�^Ϩq)�
�9��*O'�
+����7���6e�sV���
+VLVT�	�,���|{z�цA��X��Vrb�ó���'�^����6OO(��4oqO	B�ٞ�������'?��V��*���K��H=Kx��ҋ�
+�?�˼�@Wӏc'{���g��i$�!�J��#�K�
+�M�}^Tt�U?Dc��M"�6S�2�	��B��}S�!���j��c-���GL�u�$��5^>���G���G�������B��5��$@����:��u����v��|�ɔ�Ap�^��
p� ˜M&��+a�Cvk�*���
�]
��G�}��2b��
+�"5��bTz@\&�c\'�,&�BN�n�j�2
+�f��
�s�2�"KF����!M�M�~������l�[����N��U��`�����I`i�
L�T
�g��ur��6K�
�r؜����|�z7��������\���ӺoI�Lث�k�ۗ��nbpt�����?ȵ�(f�ѹٞŷ���']Bj71l�X���oiW�B	��WBi�����TM��C�L�f_
+��o�3��5m��njF���p�U�?0fe�*j�z����h!��UE��k��IE.�P�R1�Wm��k�=�5^j�� �-w#����m
��_ר5��0O�?�^�J?C��)e>^�X�ё�҆�N�����%kS�>J
M� X�tl���ŃnCn��R��WT��z.�K&;Y_A0�Dnl�Z0�׷��1w\�����H��K+ې�@gw>�����|&@T�T��ރ�{��Zbt�rt��`
kc}
+�|�TL9�"K�wACjsl�m
�`�1>�{�ys��5�A{���4]���ݑ�j�廈Q���Z<���1�v�����p%�O����
13�E�.���aA�P��|�+NZ]���U9$�*fjR�?���D�k\����PU�:�/��]'�F<�fbH����

�W[	�GY�P����U�5���N�p�q�8�ki!O��"W���;ܼ�-Z&Ϫ]
W��@�����]J*q�
w�W�ZJ
��E9��֧��l^Q�$�L��&EC���f����Lk�aq��͌a��:[ƿ)��m_�|��J��r���@*oo5-�;X�؜wp���`�� L�{L��� �,��U^���|C�
+5M(���=׼w�O��s�1��q�8n�P��]�ze҇v �L�'���u�?�I����6\����j��F��B�ڻ�=���)�V~`�%e�z�*�ڪn\=�Ĕ�G�Ö�P� P���(
������W
�p�#C��5�B-�A���HS
+
cj���O�B2.��E�N��D�
���Hk����đ��c�p��/8��p��P�v<5�^&@�mm���σ��ë�x0��m/�_�i,�¯|ܥ�a�yV��0�5�?���2R/�f�"X���Ƃ�P*�ps��APy���SZ
��`P��҈B~pfq��ۇst?-�
���]�-N��[+V{9��{��
1��W�b�.�\���>�6��ap���,�w������.b�K6I���Q5Oާ�ˑ��
�09Op��
߇�o���[�\��]|�4|1�LZ��>ߍ��;��֓��$
%�*���yI�G	��6-N���`��bb�Wܮ��/q�v�|Lt>պ��T�Z8a�O���y���$\��g��&+��"��L���*�g�!�?�����ӈ�h(�KȆ
��	�������}~0�����p��*TVq��c
�s��,h$1��Z��g��hJ�q����!0��
+3��/D�_�t>�z_��1k1�W��`\
+��D�5a�?��<�ܺ�����1�X��>�Wc1ZT]*%�zH��P�3
VGwbgmv^*�;
�R��.���i�3ׅ����:
+p����n�2#hr���[f��T|�l���
���'I���0�]
=��8��r��6�m�ؖ8�H&�ݰ��4�t}
>*�s�0���I-�-Ki����iv�f�ͻ���
4ݖ'Z��+�O!$bw:f�0���N�A��kR���
��(AQtyi�)<3��@{�g�A�
���X�r
JA\���Q֝��C`�Q�q�
0�\��r�*�iE�Q�1c�hm�,����>8E��J�^��L�mL'E�.��<e�N׏����]~���ޅCA�E���m-1�l-�k�?�V�~��v�endstream
 endobj
-2797 0 obj <<
+3038 0 obj <<
 /Type /Page
-/Contents 2798 0 R
-/Resources 2796 0 R
+/Contents 3039 0 R
+/Resources 3037 0 R
 /MediaBox [0 0 612 792]
-/Parent 2802 0 R
+/Parent 3030 0 R
 >> endobj
-2799 0 obj <<
-/D [2797 0 R /XYZ 72 720 null]
+3040 0 obj <<
+/D [3038 0 R /XYZ 72 720 null]
 >> endobj
-2800 0 obj <<
-/D [2797 0 R /XYZ 72 697.999 null]
+3041 0 obj <<
+/D [3038 0 R /XYZ 72 698.015 null]
 >> endobj
-2801 0 obj <<
-/D [2797 0 R /XYZ 72 222.193 null]
+3042 0 obj <<
+/D [3038 0 R /XYZ 72 222.237 null]
 >> endobj
-2796 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F54 1447 0 R /F48 554 0 R /F52 1472 0 R /F35 1440 0 R /F41 1704 0 R >>
+3037 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F75 1442 0 R /F69 550 0 R /F73 1467 0 R /F38 1435 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2805 0 obj <<
-/Length 2201      
+3045 0 obj <<
+/Length 2103      
 /Filter /FlateDecode
 >>
 stream
-x��YIs��ϯ�!�J
 ��U9�؞r\5.�G��
�&[���n�l����y
�EBg�qŹ�A�x��<��~��ۼ�PJT�\\�`��,�(d)d3�?�_������rI��)�
I���*k&���Lg"�����M����ܤ:O�/u���� {
N��=Ώ��m˔#�޵L����8*i�b����7������v�
<[Ւ�B��
-|}�i�DF]�*��Yft)Q�/i�/f�4+�nRU��FU"���4ڠF�-���-	��Z�kݎ��<q 7��6��w�������oIyQns�&{�;dt$�4�;O(�a��@��)�;�"W��g�T/*�X�����GL�C�
eE�	[�>�;���56��c�5�A�l
�&��d�{8�\e2���k�|&vp�p��ݜ]D��y���(|fx
�[��嵵�;��6�
��>*Y)A��e��)�"b�
&?#G
�O!nX �(�p�ci����?�
�e,O�
����O�B������8
��&&�E�3��_�E�Qr+P�tA,0��U�Q�폈�����Έp�ދcw1nR	(��n�G��t�QY�W������]��
-�${퀐K�i��E6�b2ɮ�A+w�B����ԉ;�#���P�=��}������ R
|��Ue.��_��>!Na�7��.a�>ȫ
�8Woǯ�C��ӥ�z

-(��6v��E
�c4���錃<����X;�ھ
[�3�q�
��#�J�L'X�k�����)b"�0R*�
�0e���Q� �+��b���PQ��u��2�E��
c4U��0��\c� �v�B,�K�/G�8���\F�2
����G�1�b�J��J��
N���Dj(�A�cL�+���m��b�I��
��=����[z���
���kF��������v�+��+
�	�j�%hw:W��TH0 T�Dk�,U;7qRQ
{
�JL��7	}@[seC��
ۘߩT(
-.�H�g��߬����
	�/�# `��1h-�@-�X� �=�u�(�R9��
Y��w%��a��.���&`v�>ʕ�
-� C8�b�yT� �9������
P��"ЀZ at Naj&	|�OhH�\�j��	�K]���|a��1_[_���#D�mO��rTO+�G�Q���!�o7C�&5�(��:��-�L{{�.Bqq�c�G�͗sA��Lu���(�VT�k��9^�Rƴ�ؼ�IxG�ʑj�����E�,�x�n
��=N�2F~���k �8{s
-��I�c������
wƦ\��}8���Yl���
�*�\��!�ĝ% �)�ujf��TK�ňBߊ�I�k&����i�<M��cpVL�Ā�N���
#4��-���7n�=�,:No-��t�ʲ��
-���{zN��\������Ts�׹F�"uK%ҩD���`�>Uj�#4��P�<�ϩ�
-�33���_C��90VZ��J?�5=�_���s�<��܃�����Ń�b�f��Q�;�~z
GSAV��0�3��.R!�4��R8���VRi.*�^��S'�噜�+��@���1GbvT�][���a�Sޱ|ǂ��a�:8��h���I;�B�. T=+�n}c�ꎣ��aښ����k�n�w�X��/E���9��2V���p��F�ܲ��k$��mp�l
��f??�+�n^������c�*�G��<��)g}GOnL
��A�7[%dR-��C�	pF'��!�
�w���ڑ���\����{�
Q(~�_��������Q�^�&D:
����:jA���G����7s��7]���A��P]eCD��oIe(�B�?�c�~�c�K���_o��{WS�k6�S�
��W��ͪ��<�=
ʬb�b��"��5%I���?fƮ�⍧���hbl��)��1�^yOZ�3%�P_����pi$0�X1Y����c�N�Lޏ����x�Wb�F�\�/痲���~s�?:˯tGmq֌����X�:�ݢ�հ�6+�rW�ohؒ��
�N���`��K���9Ax8���E?Z��
�OЯkwغBj��#�e
-�;�
}��.ѹ�=xJ���a
-�0�.#p	�5x^}a�� ����f��~���:
-s�^��0����?�|�HU%���d
��������h|W�7Q�G�~ڴ,D�k��܇�S����_}w��?�Q�endstream
+x��YKs�6�ϯ�a�i�O�J�
f�l�&��x7��
<������V{
ɟ��M���T*�-�	��zy��o��gJ�ι��5����欕^H
�����8����0Q7�D-\��$���\�Vp�຤ٺ�&k+��_�ϭ10mn���?�~�Z�7pm��"�~�H����`�E��5.��l5�x�-��WK�z�����=��߰�=�]�-�Y
��ѹ6���X�7�X��hE׆)NHo��J���Y�V�b�� 7�l��!s�Z!U
�:au�H�,�#�Y�KVp��+{�r]�=�n�
=[鞅ސmq���Vu��٨5Z��]�*oD����X*Z����	-+���5<�
��l�
�Hā����|_���m�Sۈ��d� �5y"�|�d�߱��7R��T�lΕv�R�
+ٱ��	�[�C��	�C��C#4�p�}"����+���dkXr���}�T�R��9������
Um�2�{Dsȉ4��3JHyj�.��PDw%��S�}��jF�:⧔p
+ɩމ���_1H��ҵ�i���91F�
Cr7�q����O1\�����C�J�g�7߳
�{�;ef����'��
�7�:/���8Z�vT4�
	궕�o�����ʈ�oϽF'+�)�3���"�Y����$�����$�␪��7B���d�O!���
l��ݯ>f�
�c
~Yω�g6J�H�-x�+N���-"�` �*��R�a�q6Ǡ5-b�2��i&�)V4��bQ���IzO|̚�I��ҢߣV�a����D-I�j���?<ʞ�Y�9�Π�(�R��h!��
�*��i|�v�O�X
u�7�
��
+�@���Ĉ�·m�;��	�+��f
E�iq��3�_CU��̞��pd��%�������݋._�.��[V���3?Q��c��8�������0xE�D��NBe:����m�=�	J�/e김\�m
��HuƥV�
��P�t[8]<����K�+��	�
D�uL����>�3qG�μ�
@L�:�^����@}VqKC��:����|'p;�5z
�q�
+%y��B
+����k5^�����>Kc�uđi��Go�b2mÞ�S;B@$*yx�(s
����hý
.a�Z{��
��5
��<:{�HL~)�E�pB[g��۬pEd�p�n��O���b�Ϻ]κ��ٴ�9���3�O��Għ*x����}��O}�24��/����
�^g�,����2�������Q� �C�]��<�jd�<��	�rZbfX
r
xzDk�����x�B�n���e�G:v
�^��=XYl�����"��\���v��9I�n�� �O�T.�T���bj
+�SUM7�թ��Ns!0�"��#ͥ `̀�$I�j����t�փ$l9E.��kA�4��ʞ�UO){Ru�a��g*{�*{eO7�e��PQ%TN-��g���6O-��YoR
!��	#�nJ�h
$�\٨�W�}=Eku:����[JC�<��v8��e
+���k��^	v���9�,����&h=���1B�<�o�Smx��>����ρ��+)G� �鎸Yw�(;��:H}
�RT���BU_�;�h_�n���$V��F}�d>�#ͻO��j�*	lC���E��.e�e�/��,�t�>빓�4��=�ޝ+�_�Nl���0�Ջ�p�z\1�m�}�����ϑ!�d-�[�A����{�)E���9�g��r[�����1�#"*���O<5}���Mܟ��&bm�ԢO�NJ��V
�i{6%���
Ū�rN�,��n�s؋�h�p��
�����wIy|ĕS�%��cEz
�vEW�h�z�*A[b& ����^�-���+
�g�w��~�����?��m5`�BG�G�D���{<����)��߫�k5'kn�4v�z�#�؋���2�b��)[��	��d�呼�-m���>��%	�O� `RY�΃	�(
��8�m�9��uh6�;��P��"պξ�܍}�;��
�o�
+�%�	+
|���v�w���=�uߕ�|j��9_�����,	D�]���n�T��|�	����?�Y�/X�;@��'��'�˲��Wq�l� ��!b��X-\&�x��ų?�A��endstream
 endobj
-2804 0 obj <<
+3044 0 obj <<
 /Type /Page
-/Contents 2805 0 R
-/Resources 2803 0 R
+/Contents 3045 0 R
+/Resources 3043 0 R
 /MediaBox [0 0 612 792]
-/Parent 2802 0 R
-/Annots [ 2808 0 R 2809 0 R ]
+/Parent 3030 0 R
+/Annots [ 3048 0 R 3049 0 R ]
 >> endobj
-2808 0 obj <<
+3048 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [71.004 148.103 188.747 162.051]
+/Rect [71.004 148.135 188.602 161.969]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2809 0 obj <<
+3049 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [195.209 148.103 220.613 162.051]
+/Rect [195.05 148.135 220.426 161.969]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2806 0 obj <<
-/D [2804 0 R /XYZ 72 720 null]
+3046 0 obj <<
+/D [3044 0 R /XYZ 72 720 null]
 >> endobj
-2807 0 obj <<
-/D [2804 0 R /XYZ 72 258.688 null]
+3047 0 obj <<
+/D [3044 0 R /XYZ 72 258.72 null]
 >> endobj
-2803 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F78 924 0 R /F79 926 0 R /F76 747 0 R >>
+3043 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2812 0 obj <<
-/Length 484       
+3052 0 obj <<
+/Length 520       
 /Filter /FlateDecode
 >>
 stream
-x�UR˒�0��+8�*�䘔7�����u.y
� �U��A�d�>39�/0��PwKow��{��<�mU%�}���KU%�h�(꿱G=�iά[����r�� <o[�J��u�c�����md"ªwc
-�f�og��mD��������Pu�f9�s�uֽ ��'.�l=ǁ�
-�.�r��v�<i�e�+�j�KY$Y^�T������䍨#kԭ*�y��3��
�_�=������^���aR��`4�x�5T���b�4����*[�5E`<4�6�􌂘ُWc��9�����
��e��
�c���4
)B)� �Bz��^S���|�����L9�2,=� �L�-ӿQ
Z� ��]

��KQ����Z�Ӱ�R�.�Lw��P�y�߆w�6��	;
F��
WC
>
�]S�
G�J�W
��XӮ���`�VS�E�Kl�{Zj��
�����:|M�u���F2�'E͕�IV��˶
e�%�W���/h��endstream
+x�mTMs�0��W�(�UR���e���
���N���C���Y�bg�a�ޯ��oe��,�nL�h-�<O6�D+-M�'���� ��w6�� vs`؛tir-��*��^�
+<
V����n>]�����ꕬu�(�y?���!��=w�Zi���)g�n
ކ����u�
���N������=63�;�P�W;4�p�dYrU$K��,+�,��Ӊ/�1��T���r���tA�=��������Ta-�C-�}�!t�3�
�>D��>�P�3��0!Cb��q��'�Xs���e�X�
�ێ�p{fy c�x�J}$y�) �X�����G	���
�#�
��(D
��
K7-��	"������
�����Gj�����x�Ä	KɅ��
)觵�H�B
ֶ�W&M$Ai��ѵ����5|xu�T� ��5�I��O�X
����B��s��PK�g^
�MzZJ���45�Q9�����G
+lOQ�x�F��z� ij�JY�0u^T��5�
�%XJכ�?�a�endstream
 endobj
-2811 0 obj <<
+3051 0 obj <<
 /Type /Page
-/Contents 2812 0 R
-/Resources 2810 0 R
+/Contents 3052 0 R
+/Resources 3050 0 R
 /MediaBox [0 0 612 792]
-/Parent 2802 0 R
+/Parent 3030 0 R
 >> endobj
-2813 0 obj <<
-/D [2811 0 R /XYZ 72 720 null]
+3053 0 obj <<
+/D [3051 0 R /XYZ 72 720 null]
 >> endobj
-2810 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R >>
+3050 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2816 0 obj <<
-/Length 1650      
+3056 0 obj <<
+/Length 1701      
 /Filter /FlateDecode
 >>
 stream
-xڝXY��6~ϯ0�>H�I�A[�I6@��)���A��E�jeɐ�]{��;eK>6i^�k����_�>{�&�'2J����$V��O��*�ӑʕ��O��u���7�? ��5�^US���xts��/�%~�z���w
��E�������}x�7
�1�'�&m��
��
�
�krӘ
�x�-OI�ʄ^|�mg�R�gƏ��k���rL����@���4t2���JӲN*�H�5$�<���"���C
�*p���ГV�@ig�Ԥ��_K
-u�۫��T���+�9�;W%N�i�*GɁ��!�aa/�wC�
�&�?kF2b|����,�`���ē���t����J9�Kz|�I�2�������,nX����N��Šm����=b%�
��74��
9�"�ͺ��횢B�����7Q{������Ek��i�V,V�Ҭ,��:d�"����-�g1[+s������鍙
�m@��=�ޡ@-��Y����G�x{��!�RB�
H�Ĕ
�G�����dI���#[§@�>���aD�9��\�=�����v��]����
-�J���y����_G���
9�W6����r�&���S��*n/����|�Z��(P�M��+ۧ�,V�P����
i�=}�(c��b�S6�/�3V�
-�V`�3w�LE=� �(�ȧ�

��Jgx��YP��B���������
b��X1�T�g/���c%bH��<�W�C�I���,yF��,#����*�0��;�l��^�Z�0Y��:y
-W_�Z��U'A��t��������8!ʖ�A��1�t��0�2r�mEt���ݪE�I$�
�̆y�9퓟�p�55�=@�Ip�3�� 
�-{YeK��Bb�
����D�S,#_h�|�3`Y�f�kH�}M��O
8��6���jDw��ǁ�,��1����-�Y���TO��4�OxM$d��@��Dug� @���:�4u*R	�0����ƬKԘ���
�+J/
op�Ol�•��*?����b��㌇9������
�Ć�릨��l�mźb�U<��9i
e�a�RTM�A�\��:N���
�h��X:OxR����ؾ�^���Q�k�2�Y#����
-�W�J��8kL�k�F�r���b�oy�&8��0e'#h����-��=��ќ_n�R�L:
���Q� wJ��
-�?�ބ�q��
}���}�9�5���&r�4�-����k*��лo�,��&���U�Aܷ/.4:)T�a���V�-�*�>l�'�/ܔ�U��5Aַw�Q�(Pˍmd��ۨ������D��*�&� }3��x&�ZnvZ���u�
��ɹ��L3hXn����+6\��W#/-1
�)��
�Ǧ��C+�"À���^�L�(�:�S�3sT����i꘢s�$x�DI�a��Zͦ��͘0
AG4�����z��5%��
��F���6�
��U�`طۨ{Q�Z�YM-�Ձ���.�>�����n �����-nnLw�f��ʸ���|XT�r�
���%Ec��5�=��0�?����
���+� ��`��[��}

�\ D6%����|�e��:�
�?�=���~�\"�P��>W:�
�ͩ4:QԷ$��1��y82Zc�M�1��T}=lW�"^�
!�>��}�Z3|Zendstream
+xڭXY��6~ϯ0�>��Z]AS�I6@��)�MР�ז7n},,o��C~{�DٔW)�@�g��o�s��գ�_)e*��JW�A�Y�G����C5RC
#���b���/��S�'5�5� &�
P������5���p�vKUTX%�OG�$.�o�y�\�	�,Gc����|�,rl�b��������J6D�5s��u�
�%1�P��Xtkx��4z���nj!,�T���ey
 Z���Ȉjv�aTX��p~�dU	]
l�
cAr��H���*Gc]Ĥ�g�׼�U���H_�r���3R
d�r��T �咙�hΊ
F:'�;����ʵh ܱ�/�$9E��%0�ȭˉ�#:S�n9�٦A�ɬ�`�ldmJ`zvC�
[P�@=��
~�jӻ&�H�7~+��s, /��gV�>�5�袒[�AX
+zxp'Rh�#��8>�;OJ��`Dp��NS
_��	?�ˡ����軒[K�X����;�_3��t�Ӵ�dA�>���^0_U�L���~�gL�&��7t5*R�!]�
H�Q��{/~�LZSFL?BRf��l�
}ǟ Xj�R0[�>�I,[U"`�l(�9�ҏ<U,�+?~�pK�'�͐��J�j
��3~<��pP�.�f�9'-!��A�h(DY�/����U���Q�p�w`��ߪ굕��3�\8������s�����4~��|Li����>����V�a.�5���Քb��5]WNk��K'!m�42Ʃ�
�܁P��
f,n����8D�
��_��K|?I�iw<�x��xw�
�〡1�d�3�D�<��p�z�p*M:
�cȬ*� ijP8��[���$�������F�p!�Fu�!j6-d�d�I;����g�j��x(!����U�$tP�����
+Id��u�EF��aa;%E�����8u5��&3'^�߼��dIG���p!Y������]>u�k�8��D���bW�:I� �D&?��i��s���8�]h$KZ�n���Z���%�4��%h��ڑi�RHl�Bs˔g�L$8_e����f#�	?��Mrvp��z�-��+6�)�j�e#?H�%�Q���Q�
��EShm�TuC����H��:S�t�	k�X���6\�Q����7TRs��
2�i�������
+���^O�!g� ����SsW�p���:nǨ˽(֪���U\�^��.I>��}�j�-v���v���
+F�5��t4�B/��@�~�j�M\xy�~����W�
+S ^Ed5Wԯ�	�y�>ح�@��|*(��Q�Ɖ��8�&T�ƒ���'�u���-�o�Ȣ���=���P���
�;om#��Օ�0} s��M���GI���!���W��-��0.��X�b�6�>E��7���!���'h,�z
{�r'C�ŕRg�e��Q���';��<ؗ
HU�����/]\��==�2���v_v���
2�M���L:��ԯ�X	Ò_�4��xm�EC|�77>ӷo֧}s#�o�	���}w�m���)wX�m���P .�^�x'����'HU��l��ZHa$!�z�-�b�fG������>|����~�h��e�_% ���}�ip�;j��}��ʋ0g a��� �{em�gZ��S|N�66J��:�u���Ȇ�}0F�?��p���XeP
6dª�	{����o��t�o���ߍ���HU$Q�B�ft]|p�_/�� ��˫G��x�endstream
 endobj
-2815 0 obj <<
+3055 0 obj <<
 /Type /Page
-/Contents 2816 0 R
-/Resources 2814 0 R
+/Contents 3056 0 R
+/Resources 3054 0 R
 /MediaBox [0 0 612 792]
-/Parent 2802 0 R
-/Annots [ 2818 0 R 2820 0 R 2821 0 R ]
+/Parent 3030 0 R
+/Annots [ 3058 0 R 3060 0 R 3061 0 R ]
 >> endobj
-2818 0 obj <<
+3058 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [288.67 627.63 317.326 640.249]
+/Rect [239.319 627.651 267.935 640.193]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.27) >>
+/A << /S /GoTo /D (section.12.20) >>
 >> endobj
-2820 0 obj <<
+3060 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [261.562 459.884 269.408 472.835]
+/Rect [261.52 459.934 269.359 472.877]
 /Subtype /Link
 /A << /S /GoTo /D (Item.166) >>
 >> endobj
-2821 0 obj <<
+3061 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [119.614 445.77 127.46 458.389]
+/Rect [119.553 445.823 127.392 458.366]
 /Subtype /Link
 /A << /S /GoTo /D (Item.256) >>
 >> endobj
-2817 0 obj <<
-/D [2815 0 R /XYZ 72 720 null]
+3057 0 obj <<
+/D [3055 0 R /XYZ 72 720 null]
 >> endobj
-430 0 obj <<
-/D [2815 0 R /XYZ 72 720 null]
+426 0 obj <<
+/D [3055 0 R /XYZ 72 720 null]
 >> endobj
-2819 0 obj <<
-/D [2815 0 R /XYZ 72 589.73 null]
+3059 0 obj <<
+/D [3055 0 R /XYZ 72 589.783 null]
 >> endobj
-2822 0 obj <<
-/D [2815 0 R /XYZ 72 407.87 null]
+3062 0 obj <<
+/D [3055 0 R /XYZ 72 407.955 null]
 >> endobj
-2823 0 obj <<
-/D [2815 0 R /XYZ 72 412.852 null]
+3063 0 obj <<
+/D [3055 0 R /XYZ 72 412.937 null]
 >> endobj
-2814 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R >>
+3054 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2826 0 obj <<
-/Length 1861      
+3067 0 obj <<
+/Length 838       
 /Filter /FlateDecode
 >>
 stream
-x��XKo�F��W=Q���'���
�&����R�=�m1�HC�lLJ�����R��~$(Ћ���<�yP?_�y���,7fvq=\0������V%?�F�cs����v�a���I:XV���?“�;��O��
g~�Z�.�\���8���Bh�u:�<6�~�_=s�2���	���b�|/��G���F��f
�3Υc%�|��<�Xm;0Z�4����B����ܢY��S$�9S�X|B[��ܯK\ؤ+�Y��߮
-T�xGjM���Bjl�
-]��6�5KdQ���	
�Ķ]_m���h��A��
-����A�5�i�
�Y�~��h�-�
��T�́�K|�&%x.]Ve3�M�=g�
[���h%�����(������n��
�
�w��C
1UM����ۓ=A�*�
�M�#Bp"�U��8! p�L�&��A���
^LCoFX<���y�D�	I�h�}�4x��v�}K�����h�mU\� tG윻_�K ��mʢAW#rN�H'�U���Z���2�P�M��{����H�:�z"���>�������"��;0S�4tZ5�j�&L�]M�X��=����
Q���UxY9�,�?O��������>yroJi�mA4�,	�C���*��r�0"��=��]�,=�\���g5*Eݗ�ơ��Ü��h«K��n�-�D-|�
�m�Hƙ��}s$m����K\�������%$y��Y��f15�ײ�PQ�w�'B�v5�� 5P��nH�z�8t��͈zh=�'Z��q1�Cϕ���-�R�����_u~ה��!ƀ��u����w<H�x< ��T�P�	�9V�a�
-���L�$�@�h�qm��k۟D`�̲��u�l. at yxhGRE�X�@ƞ�z-h���ʹv�pUn
�`�t�]޴ǭ^) ă[b֬|Ӧ;@�I
-���j����ҭk�� ��6
�@	3�P���6���ڱ"I}��k�
��,.�=
�Ja���
YUބt�i	BN�|�ƴ:�%�o#	i�
�z
1Vچ�w������X&�
\�[�Χz�7�[7oԤ��t��_�o�s�����KH�
�d at N�s`���ɽ���U��x�.��<{��s��o렫��r]�P�����vs�
M��Q9�IeFN�
@�[��UC: ��Z��p�H]ͤ�!�"e��s�Z�ղ��
1�v�e
��I,ɍaF˃,�C�÷B�f�)��O��
���JP����k��3I[��"+���SA�5e��ei6Ʉ붮[���;hM�݌>VUדcwa�Hi�s�M�H�w9�W\r�
j�SQ�S��)3=��
�r�T�8�)04�Œl������"���	�P�˱�J���ܸ^�NJ�Gy?�
C>��Y
�41
��`��ד:�T&F�>�hOm�hdʧk
�]�\hx��B���n����;��
�h�nCoT]D�
$ r�"�mW�A0�C �Dg�(Z
l�
�H�!F�u��/͆(*}�������~>0��L<�
t���&
z�l�E��� '
m}��
]��k
-ݳi�7fT�QH���i� .Y6���X�gi�=�e*��
�M������>Ч2
)=lx����\��R<e��I}{r��,��7��KDf��/�
-L�&��%>B����e%<�
vȎWy�X�ʘ�z4Ch
���;z
_M�^����b�6׏�F��mнU�}_�����5#� �Y�w���$@7n��S�.2u�]
-<ƕ�=!0�
-�����&
�,���
�q�����@!�
N�,�
F�T�{|$�$ ����v�
M�i};��
ɴ4�*�c@�?Iߡ�A4'}�<�g"�ߢ��WD��xhY��|��>t�����͇�7����}endstream
+xڵVKs�0��Wxzr��jI�
p`��p%��C��$3IӉ�6��og���d'$큃-i��Ƿ�����F5���1&�%u)�*��2�,�d4����L� +�&���
�5|v3ȴ2�G��ȥn�F{�Ik?G_Y�F7I&Q�
+�}���1�	�L70���nY�v
�%|�-}
+S����_�H05�.U.$x����h
s�WH��
ϋFH�AeY�v�1���L���
[F6��=oZ��͍�1���/ѦL��`�To���k2D�k�C��2v&�F���I!���7!�-ħt��"U�a���,��<�H�k��~���ߘ�}F�[�f����1�.-L� Yp�k��Ĭ&Y��$�hX��-�h��V��00�Ho���p
X����;ݗ(�a�w@�r�ʦ�������^�`U	�T1֖1^F9��{0
�#�WA��ꓺНd-���Ee�����xU�8��GI=f�h,	�s]UTHs��^�uEWT�v��U��O�NC*
z���0��
�ȃ�(��}05H
�0��ה�ݘ"}�
@^!
�ycЌ1g�4�
K�ro L�>���c�(�V�q�Gvn}ݵޑ��9�
Z���V�I�u!-�#�e�W�
��<
\M^�2
h�ׅ���^��c��A23Cu�S6q��4l��A��܍����

mz�e�^'�R�g�,�ɳ�f�<݄R�����'�m�^��Q#B�)�n��I1yߐl-6!սK���
3��fH�=	���>��^r� ��R���={����q>N�N|33b�"?��M�#WW�ʫ˞���P���:B"�7/�K?����6SM#�<<m+�Jw�����/c���endstream
 endobj
-2825 0 obj <<
+3066 0 obj <<
 /Type /Page
-/Contents 2826 0 R
-/Resources 2824 0 R
+/Contents 3067 0 R
+/Resources 3065 0 R
 /MediaBox [0 0 612 792]
-/Parent 2802 0 R
+/Parent 3070 0 R
 >> endobj
-2827 0 obj <<
-/D [2825 0 R /XYZ 72 720 null]
+3068 0 obj <<
+/D [3066 0 R /XYZ 72 720 null]
 >> endobj
-2828 0 obj <<
-/D [2825 0 R /XYZ 72 666.866 null]
+3069 0 obj <<
+/D [3066 0 R /XYZ 72 695.093 null]
+>> endobj
+3065 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3073 0 obj <<
+/Length 1234      
+/Filter /FlateDecode
+>>
+stream
+xڝWKo7��W�q�hߌ�K����KP� K�H�
�%����˕hK6
y��p8���7\�(�A��YŅ$�T�ͨ�YQb���E�1��
A�'�~�0]��}
U_��q�;��2]} �RV�E��`�QVM���1���]7�Ln��0���j����
��!��1�B�Ei'�-�1�X���|p/�*
�����e�1Su��qU��;ݽ�z��G��ݔ�s� ��_�p�
�%����:h��
��mR�m���^Ϳ���4���w^$�A�������>��ny[��"��V���
�	����y�����v߃���t���ң�'a�( Lh
� B�h��쑈 ��G�a�0xr
�<�p�]�A�?{�40I(�88uSpGB'���]�Kr��<�Kvc�z�RBu�B�:��x�� fd�#�S/g]�'�(�UcP�0��3��o�-Z�@���d�bP��X
Ql�5�ֳ�tX͜ٶ������?���P<�N�.�M���,����E�o�a<����<�<<.��q�l��[�{Oq�So�����IR��)Ɏ�,ᘅ�p
᧔�0טE�Y5aV�B]��
+ C}@��\���{�1�|�	ʈ��͋�S�:�v��r�n���
Su
��2��"�C"��ϫ8�
�N];}��X�!ayK�:AJ*�y�g�f
?�)26��YE�c/0�����`�1�QSXUp&�Ko,���2���2��-��y��Dh���x�,�D�wE`H���"p]�FbWH�Z%�("���ǂ� l�l�I����>3c	����
;N �S#-Z`L1
�x9Aw)�o'��Q�"a��?�p�(i��T�
2'�b�4"���I~s���1���{,M:
+Y������&���\@�竌��2�9��
�
�QR(�2���b!ʼmC
O��3v��b%$E��h,(|����q
&oP��T��|?s}DY�&��
'[b�s$�v�W� �/�u�R�c&��i�N
�o���,n0��n�؜󖛿z��HM�д��!��c|n�GR�8;
y�u�(4�U��a�,���>�oKnr]��]n��qY��u�T"o
�BN"�Ijs��r��Q��o*�j��yK;��
�6�c���W�≪�;G���,}Rw� E�_m��,䐬�MCAr
Hx�ᯅ��X�`/2��}
GՍ� ��^��G�
�	ǭ0tE�J�~���Ɠ��endstream
+endobj
+3072 0 obj <<
+/Type /Page
+/Contents 3073 0 R
+/Resources 3071 0 R
+/MediaBox [0 0 612 792]
+/Parent 3070 0 R
+>> endobj
+3064 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/oprobit-FirstDifferencesPlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 3076 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 3077 0 R /F2 3078 0 R /F3 3079 0 R >>
+/ExtGState <<
+>>>>
+/Length 3080 0 R
+>>
+stream
+q
+Q q 0.00 288.00 432.00 144.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.24 217.44 17.51 re B
+0.502 1.000 0.000 rg
+38.02 350.25 334.33 17.51 re B
+0.000 1.000 1.000 rg
+38.02 371.25 64.10 17.51 re B
+0.502 0.000 1.000 rg
+38.02 392.26 12.57 17.51 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 17.86 335.12 Tm (Y=1) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 17.86 356.13 Tm (Y=2) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 17.86 377.14 Tm (Y=3) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 17.86 398.15 Tm (Y=4) Tj
+ET
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 418.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 183.81 299.40 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 326.02 m 415.08 326.02 l S
+38.02 326.02 m 38.02 323.64 l S
+100.86 326.02 m 100.86 323.64 l S
+163.70 326.02 m 163.70 323.64 l S
+226.55 326.02 m 226.55 323.64 l S
+289.39 326.02 m 289.39 323.64 l S
+352.24 326.02 m 352.24 323.64 l S
+415.08 326.02 m 415.08 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 35.79 312.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 96.41 312.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 159.26 312.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 222.10 312.71 Tm (30) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 284.94 312.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 347.79 312.71 Tm (50) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 410.63 312.71 Tm (60) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+1.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+125.16 185.24 m
+125.60 185.24 l
+126.04 185.24 l
+126.48 185.24 l
+126.93 185.24 l
+127.37 185.24 l
+127.81 185.24 l
+128.25 185.24 l
+128.69 185.24 l
+129.14 185.24 l
+129.58 185.24 l
+130.02 185.24 l
+130.46 185.25 l
+130.90 185.25 l
+131.34 185.25 l
+131.79 185.25 l
+132.23 185.25 l
+132.67 185.26 l
+133.11 185.26 l
+133.55 185.26 l
+133.99 185.27 l
+134.44 185.27 l
+134.88 185.27 l
+135.32 185.28 l
+135.76 185.28 l
+136.20 185.29 l
+136.65 185.29 l
+137.09 185.30 l
+137.53 185.31 l
+137.97 185.31 l
+138.41 185.32 l
+138.85 185.33 l
+139.30 185.34 l
+139.74 185.35 l
+140.18 185.36 l
+140.62 185.36 l
+141.06 185.38 l
+141.50 185.39 l
+141.95 185.40 l
+142.39 185.41 l
+142.83 185.42 l
+143.27 185.43 l
+143.71 185.45 l
+144.16 185.46 l
+144.60 185.47 l
+145.04 185.49 l
+145.48 185.50 l
+145.92 185.52 l
+146.36 185.54 l
+146.81 185.55 l
+147.25 185.57 l
+147.69 185.59 l
+148.13 185.61 l
+148.57 185.63 l
+149.01 185.65 l
+149.46 185.68 l
+149.90 185.70 l
+150.34 185.73 l
+150.78 185.76 l
+151.22 185.79 l
+151.67 185.82 l
+152.11 185.85 l
+152.55 185.89 l
+152.99 185.93 l
+153.43 185.97 l
+153.87 186.01 l
+154.32 186.05 l
+154.76 186.10 l
+155.20 186.15 l
+155.64 186.20 l
+156.08 186.25 l
+156.52 186.31 l
+156.97 186.36 l
+157.41 186.42 l
+157.85 186.48 l
+158.29 186.55 l
+158.73 186.61 l
+159.18 186.68 l
+159.62 186.74 l
+160.06 186.81 l
+160.50 186.88 l
+160.94 186.95 l
+161.38 187.03 l
+161.83 187.10 l
+162.27 187.17 l
+162.71 187.24 l
+163.15 187.32 l
+163.59 187.39 l
+164.03 187.46 l
+164.48 187.54 l
+164.92 187.61 l
+165.36 187.68 l
+165.80 187.76 l
+166.24 187.83 l
+166.69 187.91 l
+167.13 187.99 l
+167.57 188.06 l
+168.01 188.14 l
+168.45 188.22 l
+168.89 188.30 l
+169.34 188.38 l
+169.78 188.46 l
+170.22 188.55 l
+170.66 188.63 l
+171.10 188.72 l
+171.54 188.81 l
+171.99 188.90 l
+172.43 189.00 l
+172.87 189.09 l
+173.31 189.19 l
+173.75 189.29 l
+174.19 189.39 l
+174.64 189.50 l
+175.08 189.60 l
+175.52 189.71 l
+175.96 189.82 l
+176.40 189.93 l
+176.85 190.04 l
+177.29 190.15 l
+177.73 190.26 l
+178.17 190.38 l
+178.61 190.50 l
+179.05 190.62 l
+179.50 190.74 l
+179.94 190.86 l
+180.38 190.98 l
+180.82 191.11 l
+181.26 191.24 l
+181.70 191.37 l
+182.15 191.50 l
+182.59 191.64 l
+183.03 191.77 l
+183.47 191.91 l
+183.91 192.06 l
+184.36 192.21 l
+184.80 192.36 l
+185.24 192.51 l
+185.68 192.67 l
+186.12 192.83 l
+186.56 192.99 l
+187.01 193.16 l
+187.45 193.33 l
+187.89 193.50 l
+188.33 193.68 l
+188.77 193.85 l
+189.21 194.03 l
+189.66 194.21 l
+190.10 194.40 l
+190.54 194.58 l
+190.98 194.77 l
+191.42 194.95 l
+191.87 195.14 l
+192.31 195.32 l
+192.75 195.51 l
+193.19 195.70 l
+193.63 195.88 l
+194.07 196.07 l
+194.52 196.25 l
+194.96 196.43 l
+195.40 196.62 l
+195.84 196.80 l
+196.28 196.98 l
+196.72 197.16 l
+197.17 197.34 l
+197.61 197.51 l
+198.05 197.69 l
+198.49 197.87 l
+198.93 198.04 l
+199.38 198.22 l
+199.82 198.39 l
+200.26 198.56 l
+200.70 198.73 l
+201.14 198.89 l
+201.58 199.06 l
+202.03 199.22 l
+202.47 199.38 l
+202.91 199.54 l
+203.35 199.69 l
+203.79 199.84 l
+204.23 199.98 l
+204.68 200.13 l
+205.12 200.26 l
+205.56 200.39 l
+206.00 200.51 l
+206.44 200.63 l
+206.89 200.74 l
+207.33 200.85 l
+207.77 200.95 l
+208.21 201.04 l
+208.65 201.13 l
+209.09 201.21 l
+209.54 201.28 l
+209.98 201.35 l
+210.42 201.40 l
+210.86 201.45 l
+211.30 201.50 l
+211.74 201.54 l
+212.19 201.57 l
+212.63 201.60 l
+213.07 201.62 l
+213.51 201.64 l
+213.95 201.65 l
+214.40 201.66 l
+214.84 201.66 l
+215.28 201.65 l
+215.72 201.65 l
+216.16 201.64 l
+216.60 201.62 l
+217.05 201.61 l
+217.49 201.59 l
+217.93 201.56 l
+218.37 201.54 l
+218.81 201.51 l
+219.25 201.48 l
+219.70 201.45 l
+220.14 201.41 l
+220.58 201.37 l
+221.02 201.33 l
+221.46 201.29 l
+221.91 201.25 l
+222.35 201.20 l
+222.79 201.16 l
+223.23 201.11 l
+223.67 201.07 l
+224.11 201.02 l
+224.56 200.97 l
+225.00 200.92 l
+225.44 200.88 l
+225.88 200.83 l
+226.32 200.78 l
+226.76 200.74 l
+227.21 200.69 l
+227.65 200.65 l
+228.09 200.61 l
+228.53 200.57 l
+228.97 200.53 l
+229.42 200.50 l
+229.86 200.46 l
+230.30 200.43 l
+230.74 200.39 l
+231.18 200.36 l
+231.62 200.33 l
+232.07 200.30 l
+232.51 200.27 l
+232.95 200.25 l
+233.39 200.22 l
+233.83 200.19 l
+234.27 200.15 l
+234.72 200.12 l
+235.16 200.09 l
+235.60 200.05 l
+236.04 200.01 l
+236.48 199.97 l
+236.93 199.92 l
+237.37 199.88 l
+237.81 199.82 l
+238.25 199.77 l
+238.69 199.71 l
+239.13 199.64 l
+239.58 199.57 l
+240.02 199.50 l
+240.46 199.42 l
+240.90 199.34 l
+241.34 199.25 l
+241.78 199.16 l
+242.23 199.07 l
+242.67 198.97 l
+243.11 198.87 l
+243.55 198.76 l
+243.99 198.65 l
+244.44 198.54 l
+244.88 198.42 l
+245.32 198.30 l
+245.76 198.18 l
+246.20 198.06 l
+246.64 197.93 l
+247.09 197.80 l
+247.53 197.67 l
+247.97 197.54 l
+248.41 197.41 l
+248.85 197.27 l
+249.29 197.14 l
+249.74 197.00 l
+250.18 196.87 l
+250.62 196.73 l
+251.06 196.59 l
+251.50 196.45 l
+251.95 196.31 l
+252.39 196.18 l
+252.83 196.04 l
+253.27 195.90 l
+253.71 195.76 l
+254.15 195.62 l
+254.60 195.48 l
+255.04 195.34 l
+255.48 195.20 l
+255.92 195.06 l
+256.36 194.92 l
+256.80 194.78 l
+257.25 194.64 l
+257.69 194.51 l
+258.13 194.37 l
+258.57 194.23 l
+259.01 194.09 l
+259.46 193.95 l
+259.90 193.82 l
+260.34 193.68 l
+260.78 193.55 l
+261.22 193.41 l
+261.66 193.28 l
+262.11 193.15 l
+262.55 193.02 l
+262.99 192.89 l
+263.43 192.76 l
+263.87 192.64 l
+264.31 192.51 l
+264.76 192.39 l
+265.20 192.27 l
+265.64 192.15 l
+266.08 192.03 l
+266.52 191.91 l
+266.97 191.79 l
+267.41 191.68 l
+267.85 191.56 l
+268.29 191.45 l
+268.73 191.34 l
+269.17 191.22 l
+269.62 191.11 l
+270.06 191.00 l
+270.50 190.89 l
+270.94 190.78 l
+271.38 190.67 l
+271.82 190.56 l
+272.27 190.45 l
+272.71 190.34 l
+273.15 190.23 l
+273.59 190.12 l
+274.03 190.01 l
+274.48 189.91 l
+274.92 189.80 l
+275.36 189.69 l
+275.80 189.58 l
+276.24 189.48 l
+276.68 189.37 l
+277.13 189.26 l
+277.57 189.16 l
+278.01 189.05 l
+278.45 188.95 l
+278.89 188.85 l
+279.33 188.74 l
+279.78 188.64 l
+280.22 188.54 l
+280.66 188.44 l
+281.10 188.34 l
+281.54 188.25 l
+281.99 188.15 l
+282.43 188.05 l
+282.87 187.96 l
+283.31 187.86 l
+283.75 187.77 l
+284.19 187.68 l
+284.64 187.59 l
+285.08 187.50 l
+285.52 187.42 l
+285.96 187.33 l
+286.40 187.25 l
+286.84 187.17 l
+287.29 187.09 l
+287.73 187.01 l
+288.17 186.94 l
+288.61 186.87 l
+289.05 186.80 l
+289.50 186.73 l
+289.94 186.67 l
+290.38 186.61 l
+290.82 186.55 l
+291.26 186.49 l
+291.70 186.44 l
+292.15 186.39 l
+292.59 186.34 l
+293.03 186.30 l
+293.47 186.25 l
+293.91 186.21 l
+294.35 186.17 l
+294.80 186.14 l
+295.24 186.11 l
+295.68 186.07 l
+296.12 186.04 l
+296.56 186.02 l
+297.01 185.99 l
+297.45 185.97 l
+297.89 185.94 l
+298.33 185.92 l
+298.77 185.90 l
+299.21 185.88 l
+299.66 185.87 l
+300.10 185.85 l
+300.54 185.83 l
+300.98 185.82 l
+301.42 185.80 l
+301.86 185.79 l
+302.31 185.77 l
+302.75 185.76 l
+303.19 185.75 l
+303.63 185.73 l
+304.07 185.72 l
+304.52 185.71 l
+304.96 185.70 l
+305.40 185.68 l
+305.84 185.67 l
+306.28 185.66 l
+306.72 185.64 l
+307.17 185.63 l
+307.61 185.62 l
+308.05 185.60 l
+308.49 185.59 l
+308.93 185.57 l
+309.37 185.56 l
+309.82 185.54 l
+310.26 185.53 l
+310.70 185.52 l
+311.14 185.50 l
+311.58 185.49 l
+312.03 185.47 l
+312.47 185.46 l
+312.91 185.44 l
+313.35 185.43 l
+313.79 185.42 l
+314.23 185.41 l
+314.68 185.39 l
+315.12 185.38 l
+315.56 185.37 l
+316.00 185.36 l
+316.44 185.35 l
+316.88 185.34 l
+317.33 185.33 l
+317.77 185.33 l
+318.21 185.32 l
+318.65 185.31 l
+319.09 185.31 l
+319.54 185.30 l
+319.98 185.30 l
+320.42 185.30 l
+320.86 185.29 l
+321.30 185.29 l
+321.74 185.29 l
+322.19 185.29 l
+322.63 185.29 l
+323.07 185.29 l
+323.51 185.29 l
+323.95 185.29 l
+324.39 185.29 l
+324.84 185.29 l
+325.28 185.30 l
+325.72 185.30 l
+326.16 185.30 l
+326.60 185.30 l
+327.05 185.30 l
+327.49 185.31 l
+327.93 185.31 l
+328.37 185.31 l
+328.81 185.31 l
+329.25 185.31 l
+329.70 185.31 l
+330.14 185.31 l
+330.58 185.31 l
+331.02 185.32 l
+331.46 185.32 l
+331.90 185.31 l
+332.35 185.31 l
+332.79 185.31 l
+333.23 185.31 l
+333.67 185.31 l
+334.11 185.31 l
+334.56 185.31 l
+335.00 185.30 l
+335.44 185.30 l
+335.88 185.30 l
+336.32 185.29 l
+336.76 185.29 l
+337.21 185.29 l
+337.65 185.29 l
+338.09 185.28 l
+338.53 185.28 l
+338.97 185.28 l
+339.41 185.27 l
+339.86 185.27 l
+340.30 185.27 l
+340.74 185.26 l
+341.18 185.26 l
+341.62 185.26 l
+342.07 185.26 l
+342.51 185.26 l
+342.95 185.25 l
+343.39 185.25 l
+343.83 185.25 l
+344.27 185.25 l
+344.72 185.25 l
+345.16 185.25 l
+345.60 185.24 l
+346.04 185.24 l
+346.48 185.24 l
+346.92 185.24 l
+347.37 185.24 l
+347.81 185.24 l
+348.25 185.24 l
+348.69 185.24 l
+349.13 185.24 l
+349.58 185.24 l
+350.02 185.24 l
+350.46 185.24 l
+350.90 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 182.02 m 340.47 182.02 l S
+52.26 182.02 m 52.26 179.64 l S
+148.33 182.02 m 148.33 179.64 l S
+244.40 182.02 m 244.40 179.64 l S
+340.47 182.02 m 340.47 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 46.70 168.71 Tm (0.0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 142.77 168.71 Tm (0.2) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 238.84 168.71 Tm (0.4) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 334.91 168.71 Tm (0.6) Tj
+ET
+38.02 185.24 m 38.02 264.51 l S
+38.02 185.24 m 35.64 185.24 l S
+38.02 198.45 m 35.64 198.45 l S
+38.02 211.66 m 35.64 211.66 l S
+38.02 224.87 m 35.64 224.87 l S
+38.02 238.09 m 35.64 238.09 l S
+38.02 251.30 m 35.64 251.30 l S
+38.02 264.51 m 35.64 264.51 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 183.01 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 196.23 Tm (5) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 220.43 Tm (15) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 246.85 Tm (25) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.24 m 422.50 185.24 l S
+0.502 1.000 0.000 RG
+0.75 w
+[] 0 d
+196.96 185.24 m
+197.37 185.24 l
+197.79 185.24 l
+198.20 185.24 l
+198.61 185.24 l
+199.03 185.24 l
+199.44 185.24 l
+199.85 185.24 l
+200.27 185.24 l
+200.68 185.24 l
+201.09 185.24 l
+201.51 185.24 l
+201.92 185.24 l
+202.33 185.25 l
+202.75 185.25 l
+203.16 185.25 l
+203.57 185.25 l
+203.99 185.25 l
+204.40 185.25 l
+204.82 185.26 l
+205.23 185.26 l
+205.64 185.26 l
+206.06 185.26 l
+206.47 185.27 l
+206.88 185.27 l
+207.30 185.28 l
+207.71 185.28 l
+208.12 185.29 l
+208.54 185.29 l
+208.95 185.30 l
+209.36 185.30 l
+209.78 185.31 l
+210.19 185.32 l
+210.60 185.32 l
+211.02 185.33 l
+211.43 185.34 l
+211.84 185.35 l
+212.26 185.36 l
+212.67 185.37 l
+213.09 185.38 l
+213.50 185.39 l
+213.91 185.40 l
+214.33 185.41 l
+214.74 185.42 l
+215.15 185.44 l
+215.57 185.45 l
+215.98 185.46 l
+216.39 185.48 l
+216.81 185.49 l
+217.22 185.50 l
+217.63 185.52 l
+218.05 185.53 l
+218.46 185.55 l
+218.87 185.57 l
+219.29 185.58 l
+219.70 185.60 l
+220.11 185.61 l
+220.53 185.63 l
+220.94 185.65 l
+221.36 185.67 l
+221.77 185.68 l
+222.18 185.70 l
+222.60 185.72 l
+223.01 185.73 l
+223.42 185.75 l
+223.84 185.77 l
+224.25 185.78 l
+224.66 185.80 l
+225.08 185.82 l
+225.49 185.84 l
+225.90 185.85 l
+226.32 185.87 l
+226.73 185.89 l
+227.14 185.91 l
+227.56 185.92 l
+227.97 185.94 l
+228.38 185.96 l
+228.80 185.98 l
+229.21 186.00 l
+229.63 186.02 l
+230.04 186.04 l
+230.45 186.06 l
+230.87 186.08 l
+231.28 186.11 l
+231.69 186.13 l
+232.11 186.15 l
+232.52 186.18 l
+232.93 186.21 l
+233.35 186.23 l
+233.76 186.26 l
+234.17 186.29 l
+234.59 186.32 l
+235.00 186.35 l
+235.41 186.39 l
+235.83 186.42 l
+236.24 186.46 l
+236.65 186.50 l
+237.07 186.54 l
+237.48 186.58 l
+237.90 186.62 l
+238.31 186.67 l
+238.72 186.72 l
+239.14 186.77 l
+239.55 186.82 l
+239.96 186.87 l
+240.38 186.93 l
+240.79 186.98 l
+241.20 187.04 l
+241.62 187.11 l
+242.03 187.17 l
+242.44 187.24 l
+242.86 187.31 l
+243.27 187.38 l
+243.68 187.45 l
+244.10 187.53 l
+244.51 187.61 l
+244.92 187.69 l
+245.34 187.77 l
+245.75 187.86 l
+246.17 187.95 l
+246.58 188.04 l
+246.99 188.13 l
+247.41 188.23 l
+247.82 188.33 l
+248.23 188.43 l
+248.65 188.53 l
+249.06 188.64 l
+249.47 188.74 l
+249.89 188.85 l
+250.30 188.96 l
+250.71 189.07 l
+251.13 189.18 l
+251.54 189.30 l
+251.95 189.41 l
+252.37 189.53 l
+252.78 189.65 l
+253.19 189.77 l
+253.61 189.89 l
+254.02 190.01 l
+254.44 190.13 l
+254.85 190.25 l
+255.26 190.37 l
+255.68 190.50 l
+256.09 190.62 l
+256.50 190.74 l
+256.92 190.87 l
+257.33 191.00 l
+257.74 191.12 l
+258.16 191.25 l
+258.57 191.38 l
+258.98 191.51 l
+259.40 191.65 l
+259.81 191.78 l
+260.22 191.92 l
+260.64 192.06 l
+261.05 192.20 l
+261.46 192.34 l
+261.88 192.49 l
+262.29 192.64 l
+262.71 192.79 l
+263.12 192.94 l
+263.53 193.10 l
+263.95 193.26 l
+264.36 193.42 l
+264.77 193.58 l
+265.19 193.75 l
+265.60 193.92 l
+266.01 194.09 l
+266.43 194.27 l
+266.84 194.44 l
+267.25 194.62 l
+267.67 194.80 l
+268.08 194.97 l
+268.49 195.15 l
+268.91 195.33 l
+269.32 195.51 l
+269.73 195.69 l
+270.15 195.87 l
+270.56 196.04 l
+270.97 196.22 l
+271.39 196.39 l
+271.80 196.56 l
+272.22 196.73 l
+272.63 196.89 l
+273.04 197.06 l
+273.46 197.21 l
+273.87 197.37 l
+274.28 197.52 l
+274.70 197.67 l
+275.11 197.82 l
+275.52 197.96 l
+275.94 198.10 l
+276.35 198.23 l
+276.76 198.37 l
+277.18 198.49 l
+277.59 198.62 l
+278.00 198.74 l
+278.42 198.86 l
+278.83 198.98 l
+279.24 199.09 l
+279.66 199.20 l
+280.07 199.31 l
+280.49 199.42 l
+280.90 199.52 l
+281.31 199.63 l
+281.73 199.73 l
+282.14 199.83 l
+282.55 199.92 l
+282.97 200.02 l
+283.38 200.11 l
+283.79 200.20 l
+284.21 200.29 l
+284.62 200.37 l
+285.03 200.46 l
+285.45 200.54 l
+285.86 200.62 l
+286.27 200.70 l
+286.69 200.78 l
+287.10 200.85 l
+287.51 200.92 l
+287.93 200.99 l
+288.34 201.06 l
+288.76 201.12 l
+289.17 201.19 l
+289.58 201.25 l
+290.00 201.30 l
+290.41 201.36 l
+290.82 201.41 l
+291.24 201.45 l
+291.65 201.50 l
+292.06 201.54 l
+292.48 201.58 l
+292.89 201.62 l
+293.30 201.65 l
+293.72 201.68 l
+294.13 201.71 l
+294.54 201.73 l
+294.96 201.75 l
+295.37 201.77 l
+295.78 201.79 l
+296.20 201.80 l
+296.61 201.80 l
+297.03 201.81 l
+297.44 201.81 l
+297.85 201.80 l
+298.27 201.80 l
+298.68 201.79 l
+299.09 201.77 l
+299.51 201.75 l
+299.92 201.73 l
+300.33 201.70 l
+300.75 201.67 l
+301.16 201.63 l
+301.57 201.59 l
+301.99 201.54 l
+302.40 201.49 l
+302.81 201.44 l
+303.23 201.38 l
+303.64 201.31 l
+304.05 201.25 l
+304.47 201.18 l
+304.88 201.10 l
+305.30 201.02 l
+305.71 200.94 l
+306.12 200.85 l
+306.54 200.77 l
+306.95 200.68 l
+307.36 200.59 l
+307.78 200.49 l
+308.19 200.40 l
+308.60 200.31 l
+309.02 200.21 l
+309.43 200.12 l
+309.84 200.03 l
+310.26 199.94 l
+310.67 199.85 l
+311.08 199.77 l
+311.50 199.68 l
+311.91 199.60 l
+312.32 199.52 l
+312.74 199.45 l
+313.15 199.37 l
+313.57 199.31 l
+313.98 199.24 l
+314.39 199.18 l
+314.81 199.12 l
+315.22 199.06 l
+315.63 199.00 l
+316.05 198.95 l
+316.46 198.90 l
+316.87 198.85 l
+317.29 198.80 l
+317.70 198.75 l
+318.11 198.70 l
+318.53 198.65 l
+318.94 198.61 l
+319.35 198.56 l
+319.77 198.51 l
+320.18 198.45 l
+320.59 198.40 l
+321.01 198.34 l
+321.42 198.29 l
+321.84 198.22 l
+322.25 198.16 l
+322.66 198.09 l
+323.08 198.02 l
+323.49 197.95 l
+323.90 197.87 l
+324.32 197.79 l
+324.73 197.70 l
+325.14 197.62 l
+325.56 197.52 l
+325.97 197.43 l
+326.38 197.33 l
+326.80 197.23 l
+327.21 197.12 l
+327.62 197.01 l
+328.04 196.90 l
+328.45 196.79 l
+328.86 196.67 l
+329.28 196.55 l
+329.69 196.43 l
+330.11 196.31 l
+330.52 196.18 l
+330.93 196.05 l
+331.35 195.92 l
+331.76 195.79 l
+332.17 195.66 l
+332.59 195.52 l
+333.00 195.39 l
+333.41 195.25 l
+333.83 195.11 l
+334.24 194.97 l
+334.65 194.83 l
+335.07 194.69 l
+335.48 194.55 l
+335.89 194.41 l
+336.31 194.27 l
+336.72 194.12 l
+337.13 193.98 l
+337.55 193.83 l
+337.96 193.69 l
+338.37 193.54 l
+338.79 193.39 l
+339.20 193.25 l
+339.62 193.10 l
+340.03 192.95 l
+340.44 192.80 l
+340.86 192.65 l
+341.27 192.50 l
+341.68 192.35 l
+342.10 192.20 l
+342.51 192.06 l
+342.92 191.91 l
+343.34 191.76 l
+343.75 191.61 l
+344.16 191.47 l
+344.58 191.32 l
+344.99 191.18 l
+345.40 191.04 l
+345.82 190.90 l
+346.23 190.77 l
+346.64 190.63 l
+347.06 190.50 l
+347.47 190.38 l
+347.89 190.25 l
+348.30 190.13 l
+348.71 190.01 l
+349.13 189.90 l
+349.54 189.79 l
+349.95 189.68 l
+350.37 189.58 l
+350.78 189.48 l
+351.19 189.38 l
+351.61 189.29 l
+352.02 189.20 l
+352.43 189.12 l
+352.85 189.04 l
+353.26 188.96 l
+353.67 188.88 l
+354.09 188.81 l
+354.50 188.74 l
+354.91 188.67 l
+355.33 188.60 l
+355.74 188.54 l
+356.16 188.47 l
+356.57 188.41 l
+356.98 188.35 l
+357.40 188.29 l
+357.81 188.23 l
+358.22 188.17 l
+358.64 188.11 l
+359.05 188.05 l
+359.46 187.99 l
+359.88 187.93 l
+360.29 187.87 l
+360.70 187.81 l
+361.12 187.75 l
+361.53 187.69 l
+361.94 187.63 l
+362.36 187.57 l
+362.77 187.51 l
+363.18 187.44 l
+363.60 187.39 l
+364.01 187.33 l
+364.43 187.27 l
+364.84 187.21 l
+365.25 187.15 l
+365.67 187.10 l
+366.08 187.05 l
+366.49 186.99 l
+366.91 186.94 l
+367.32 186.90 l
+367.73 186.85 l
+368.15 186.81 l
+368.56 186.77 l
+368.97 186.73 l
+369.39 186.69 l
+369.80 186.66 l
+370.21 186.63 l
+370.63 186.60 l
+371.04 186.57 l
+371.45 186.54 l
+371.87 186.52 l
+372.28 186.50 l
+372.70 186.48 l
+373.11 186.46 l
+373.52 186.44 l
+373.94 186.43 l
+374.35 186.41 l
+374.76 186.40 l
+375.18 186.39 l
+375.59 186.37 l
+376.00 186.36 l
+376.42 186.35 l
+376.83 186.33 l
+377.24 186.32 l
+377.66 186.31 l
+378.07 186.29 l
+378.48 186.28 l
+378.90 186.26 l
+379.31 186.25 l
+379.72 186.23 l
+380.14 186.21 l
+380.55 186.20 l
+380.97 186.18 l
+381.38 186.16 l
+381.79 186.14 l
+382.21 186.11 l
+382.62 186.09 l
+383.03 186.07 l
+383.45 186.04 l
+383.86 186.02 l
+384.27 185.99 l
+384.69 185.97 l
+385.10 185.94 l
+385.51 185.91 l
+385.93 185.89 l
+386.34 185.86 l
+386.75 185.83 l
+387.17 185.80 l
+387.58 185.78 l
+387.99 185.75 l
+388.41 185.72 l
+388.82 185.70 l
+389.24 185.67 l
+389.65 185.65 l
+390.06 185.62 l
+390.48 185.60 l
+390.89 185.57 l
+391.30 185.55 l
+391.72 185.53 l
+392.13 185.51 l
+392.54 185.49 l
+392.96 185.47 l
+393.37 185.45 l
+393.78 185.43 l
+394.20 185.42 l
+394.61 185.40 l
+395.02 185.39 l
+395.44 185.37 l
+395.85 185.36 l
+396.26 185.35 l
+396.68 185.34 l
+397.09 185.33 l
+397.51 185.32 l
+397.92 185.31 l
+398.33 185.30 l
+398.75 185.29 l
+399.16 185.29 l
+399.57 185.28 l
+399.99 185.28 l
+400.40 185.27 l
+400.81 185.27 l
+401.23 185.26 l
+401.64 185.26 l
+402.05 185.26 l
+402.47 185.25 l
+402.88 185.25 l
+403.29 185.25 l
+403.71 185.25 l
+404.12 185.25 l
+404.53 185.25 l
+404.95 185.24 l
+405.36 185.24 l
+405.78 185.24 l
+406.19 185.24 l
+406.60 185.24 l
+407.02 185.24 l
+407.43 185.24 l
+407.84 185.24 l
+408.26 185.24 l
+S
+0.000 1.000 1.000 RG
+49.97 185.24 m
+50.22 185.24 l
+50.47 185.24 l
+50.73 185.24 l
+50.98 185.24 l
+51.23 185.24 l
+51.48 185.24 l
+51.73 185.24 l
+51.98 185.25 l
+52.23 185.25 l
+52.49 185.25 l
+52.74 185.25 l
+52.99 185.25 l
+53.24 185.26 l
+53.49 185.26 l
+53.74 185.27 l
+53.99 185.27 l
+54.25 185.27 l
+54.50 185.28 l
+54.75 185.29 l
+55.00 185.29 l
+55.25 185.30 l
+55.50 185.31 l
+55.75 185.32 l
+56.01 185.33 l
+56.26 185.35 l
+56.51 185.36 l
+56.76 185.38 l
+57.01 185.39 l
+57.26 185.41 l
+57.51 185.43 l
+57.76 185.45 l
+58.02 185.47 l
+58.27 185.50 l
+58.52 185.52 l
+58.77 185.55 l
+59.02 185.58 l
+59.27 185.62 l
+59.52 185.65 l
+59.78 185.69 l
+60.03 185.73 l
+60.28 185.77 l
+60.53 185.81 l
+60.78 185.86 l
+61.03 185.91 l
+61.28 185.96 l
+61.54 186.01 l
+61.79 186.07 l
+62.04 186.13 l
+62.29 186.19 l
+62.54 186.26 l
+62.79 186.33 l
+63.04 186.40 l
+63.30 186.48 l
+63.55 186.56 l
+63.80 186.64 l
+64.05 186.73 l
+64.30 186.82 l
+64.55 186.92 l
+64.80 187.02 l
+65.06 187.12 l
+65.31 187.23 l
+65.56 187.35 l
+65.81 187.46 l
+66.06 187.59 l
+66.31 187.71 l
+66.56 187.85 l
+66.81 187.98 l
+67.07 188.12 l
+67.32 188.27 l
+67.57 188.42 l
+67.82 188.57 l
+68.07 188.73 l
+68.32 188.89 l
+68.57 189.06 l
+68.83 189.23 l
+69.08 189.41 l
+69.33 189.59 l
+69.58 189.77 l
+69.83 189.96 l
+70.08 190.15 l
+70.33 190.35 l
+70.59 190.55 l
+70.84 190.75 l
+71.09 190.96 l
+71.34 191.18 l
+71.59 191.40 l
+71.84 191.63 l
+72.09 191.86 l
+72.35 192.10 l
+72.60 192.35 l
+72.85 192.60 l
+73.10 192.87 l
+73.35 193.14 l
+73.60 193.42 l
+73.85 193.71 l
+74.10 194.01 l
+74.36 194.32 l
+74.61 194.64 l
+74.86 194.97 l
+75.11 195.32 l
+75.36 195.67 l
+75.61 196.04 l
+75.86 196.41 l
+76.12 196.80 l
+76.37 197.20 l
+76.62 197.61 l
+76.87 198.02 l
+77.12 198.45 l
+77.37 198.89 l
+77.62 199.34 l
+77.88 199.79 l
+78.13 200.25 l
+78.38 200.71 l
+78.63 201.18 l
+78.88 201.66 l
+79.13 202.13 l
+79.38 202.61 l
+79.64 203.09 l
+79.89 203.57 l
+80.14 204.05 l
+80.39 204.53 l
+80.64 205.00 l
+80.89 205.47 l
+81.14 205.93 l
+81.40 206.38 l
+81.65 206.83 l
+81.90 207.27 l
+82.15 207.70 l
+82.40 208.12 l
+82.65 208.53 l
+82.90 208.93 l
+83.15 209.32 l
+83.41 209.69 l
+83.66 210.05 l
+83.91 210.40 l
+84.16 210.73 l
+84.41 211.05 l
+84.66 211.36 l
+84.91 211.65 l
+85.17 211.92 l
+85.42 212.18 l
+85.67 212.43 l
+85.92 212.66 l
+86.17 212.88 l
+86.42 213.08 l
+86.67 213.28 l
+86.93 213.46 l
+87.18 213.63 l
+87.43 213.79 l
+87.68 213.94 l
+87.93 214.08 l
+88.18 214.21 l
+88.43 214.33 l
+88.69 214.45 l
+88.94 214.56 l
+89.19 214.67 l
+89.44 214.77 l
+89.69 214.86 l
+89.94 214.96 l
+90.19 215.05 l
+90.45 215.13 l
+90.70 215.22 l
+90.95 215.30 l
+91.20 215.38 l
+91.45 215.46 l
+91.70 215.54 l
+91.95 215.62 l
+92.20 215.69 l
+92.46 215.77 l
+92.71 215.84 l
+92.96 215.91 l
+93.21 215.97 l
+93.46 216.03 l
+93.71 216.09 l
+93.96 216.15 l
+94.22 216.20 l
+94.47 216.25 l
+94.72 216.29 l
+94.97 216.33 l
+95.22 216.36 l
+95.47 216.38 l
+95.72 216.40 l
+95.98 216.41 l
+96.23 216.41 l
+96.48 216.40 l
+96.73 216.39 l
+96.98 216.36 l
+97.23 216.32 l
+97.48 216.28 l
+97.74 216.22 l
+97.99 216.16 l
+98.24 216.09 l
+98.49 216.01 l
+98.74 215.92 l
+98.99 215.82 l
+99.24 215.71 l
+99.49 215.59 l
+99.75 215.47 l
+100.00 215.34 l
+100.25 215.20 l
+100.50 215.06 l
+100.75 214.91 l
+101.00 214.75 l
+101.25 214.59 l
+101.51 214.42 l
+101.76 214.25 l
+102.01 214.08 l
+102.26 213.89 l
+102.51 213.70 l
+102.76 213.51 l
+103.01 213.31 l
+103.27 213.10 l
+103.52 212.89 l
+103.77 212.67 l
+104.02 212.44 l
+104.27 212.20 l
+104.52 211.95 l
+104.77 211.70 l
+105.03 211.43 l
+105.28 211.16 l
+105.53 210.88 l
+105.78 210.59 l
+106.03 210.29 l
+106.28 209.98 l
+106.53 209.66 l
+106.79 209.34 l
+107.04 209.01 l
+107.29 208.68 l
+107.54 208.34 l
+107.79 208.00 l
+108.04 207.65 l
+108.29 207.31 l
+108.54 206.96 l
+108.80 206.62 l
+109.05 206.28 l
+109.30 205.95 l
+109.55 205.62 l
+109.80 205.30 l
+110.05 204.98 l
+110.30 204.68 l
+110.56 204.38 l
+110.81 204.09 l
+111.06 203.81 l
+111.31 203.54 l
+111.56 203.29 l
+111.81 203.04 l
+112.06 202.80 l
+112.32 202.57 l
+112.57 202.35 l
+112.82 202.13 l
+113.07 201.93 l
+113.32 201.73 l
+113.57 201.54 l
+113.82 201.35 l
+114.08 201.17 l
+114.33 201.00 l
+114.58 200.83 l
+114.83 200.66 l
+115.08 200.50 l
+115.33 200.34 l
+115.58 200.18 l
+115.83 200.02 l
+116.09 199.87 l
+116.34 199.71 l
+116.59 199.56 l
+116.84 199.41 l
+117.09 199.26 l
+117.34 199.12 l
+117.59 198.97 l
+117.85 198.82 l
+118.10 198.68 l
+118.35 198.54 l
+118.60 198.39 l
+118.85 198.25 l
+119.10 198.11 l
+119.35 197.97 l
+119.61 197.83 l
+119.86 197.69 l
+120.11 197.55 l
+120.36 197.41 l
+120.61 197.28 l
+120.86 197.14 l
+121.11 197.00 l
+121.37 196.86 l
+121.62 196.72 l
+121.87 196.58 l
+122.12 196.44 l
+122.37 196.30 l
+122.62 196.16 l
+122.87 196.02 l
+123.13 195.88 l
+123.38 195.74 l
+123.63 195.60 l
+123.88 195.46 l
+124.13 195.32 l
+124.38 195.18 l
+124.63 195.03 l
+124.88 194.89 l
+125.14 194.75 l
+125.39 194.61 l
+125.64 194.47 l
+125.89 194.33 l
+126.14 194.18 l
+126.39 194.04 l
+126.64 193.90 l
+126.90 193.76 l
+127.15 193.62 l
+127.40 193.48 l
+127.65 193.34 l
+127.90 193.20 l
+128.15 193.05 l
+128.40 192.91 l
+128.66 192.77 l
+128.91 192.63 l
+129.16 192.48 l
+129.41 192.34 l
+129.66 192.20 l
+129.91 192.05 l
+130.16 191.91 l
+130.42 191.77 l
+130.67 191.63 l
+130.92 191.48 l
+131.17 191.34 l
+131.42 191.20 l
+131.67 191.06 l
+131.92 190.92 l
+132.18 190.78 l
+132.43 190.65 l
+132.68 190.51 l
+132.93 190.38 l
+133.18 190.25 l
+133.43 190.12 l
+133.68 190.00 l
+133.93 189.88 l
+134.19 189.75 l
+134.44 189.64 l
+134.69 189.52 l
+134.94 189.41 l
+135.19 189.30 l
+135.44 189.19 l
+135.69 189.09 l
+135.95 188.98 l
+136.20 188.88 l
+136.45 188.79 l
+136.70 188.69 l
+136.95 188.60 l
+137.20 188.51 l
+137.45 188.43 l
+137.71 188.35 l
+137.96 188.27 l
+138.21 188.19 l
+138.46 188.12 l
+138.71 188.04 l
+138.96 187.97 l
+139.21 187.91 l
+139.47 187.84 l
+139.72 187.78 l
+139.97 187.72 l
+140.22 187.67 l
+140.47 187.61 l
+140.72 187.56 l
+140.97 187.51 l
+141.22 187.46 l
+141.48 187.42 l
+141.73 187.37 l
+141.98 187.33 l
+142.23 187.29 l
+142.48 187.25 l
+142.73 187.21 l
+142.98 187.17 l
+143.24 187.14 l
+143.49 187.10 l
+143.74 187.07 l
+143.99 187.04 l
+144.24 187.01 l
+144.49 186.97 l
+144.74 186.94 l
+145.00 186.92 l
+145.25 186.89 l
+145.50 186.86 l
+145.75 186.83 l
+146.00 186.81 l
+146.25 186.79 l
+146.50 186.76 l
+146.76 186.74 l
+147.01 186.72 l
+147.26 186.70 l
+147.51 186.68 l
+147.76 186.66 l
+148.01 186.64 l
+148.26 186.62 l
+148.52 186.61 l
+148.77 186.59 l
+149.02 186.57 l
+149.27 186.56 l
+149.52 186.54 l
+149.77 186.52 l
+150.02 186.51 l
+150.27 186.49 l
+150.53 186.47 l
+150.78 186.45 l
+151.03 186.43 l
+151.28 186.41 l
+151.53 186.38 l
+151.78 186.36 l
+152.03 186.33 l
+152.29 186.30 l
+152.54 186.27 l
+152.79 186.24 l
+153.04 186.21 l
+153.29 186.18 l
+153.54 186.14 l
+153.79 186.11 l
+154.05 186.07 l
+154.30 186.03 l
+154.55 185.99 l
+154.80 185.96 l
+155.05 185.92 l
+155.30 185.88 l
+155.55 185.84 l
+155.81 185.81 l
+156.06 185.77 l
+156.31 185.74 l
+156.56 185.71 l
+156.81 185.68 l
+157.06 185.65 l
+157.31 185.62 l
+157.56 185.59 l
+157.82 185.57 l
+158.07 185.55 l
+158.32 185.53 l
+158.57 185.51 l
+158.82 185.50 l
+159.07 185.49 l
+159.32 185.48 l
+159.58 185.47 l
+159.83 185.46 l
+160.08 185.45 l
+160.33 185.45 l
+160.58 185.45 l
+160.83 185.44 l
+161.08 185.44 l
+161.34 185.44 l
+161.59 185.44 l
+161.84 185.45 l
+162.09 185.45 l
+162.34 185.45 l
+162.59 185.45 l
+162.84 185.46 l
+163.10 185.46 l
+163.35 185.46 l
+163.60 185.46 l
+163.85 185.47 l
+164.10 185.47 l
+164.35 185.47 l
+164.60 185.47 l
+164.86 185.47 l
+165.11 185.47 l
+165.36 185.47 l
+165.61 185.47 l
+165.86 185.47 l
+166.11 185.46 l
+166.36 185.46 l
+166.61 185.46 l
+166.87 185.45 l
+167.12 185.45 l
+167.37 185.44 l
+167.62 185.44 l
+167.87 185.43 l
+168.12 185.42 l
+168.37 185.42 l
+168.63 185.41 l
+168.88 185.40 l
+169.13 185.39 l
+169.38 185.38 l
+169.63 185.38 l
+169.88 185.37 l
+170.13 185.36 l
+170.39 185.35 l
+170.64 185.34 l
+170.89 185.34 l
+171.14 185.33 l
+171.39 185.32 l
+171.64 185.32 l
+171.89 185.31 l
+172.15 185.30 l
+172.40 185.30 l
+172.65 185.29 l
+172.90 185.28 l
+173.15 185.28 l
+173.40 185.28 l
+173.65 185.27 l
+173.91 185.27 l
+174.16 185.26 l
+174.41 185.26 l
+174.66 185.26 l
+174.91 185.25 l
+175.16 185.25 l
+175.41 185.25 l
+175.66 185.25 l
+175.92 185.25 l
+176.17 185.25 l
+176.42 185.24 l
+176.67 185.24 l
+176.92 185.24 l
+177.17 185.24 l
+177.42 185.24 l
+177.68 185.24 l
+177.93 185.24 l
+178.18 185.24 l
+178.43 185.24 l
+S
+0.502 0.000 1.000 RG
+47.70 185.28 m
+47.80 185.28 l
+47.90 185.30 l
+48.00 185.31 l
+48.10 185.33 l
+48.21 185.34 l
+48.31 185.37 l
+48.41 185.40 l
+48.51 185.43 l
+48.61 185.47 l
+48.71 185.52 l
+48.82 185.57 l
+48.92 185.63 l
+49.02 185.71 l
+49.12 185.80 l
+49.22 185.90 l
+49.33 186.01 l
+49.43 186.15 l
+49.53 186.30 l
+49.63 186.48 l
+49.73 186.67 l
+49.83 186.90 l
+49.94 187.15 l
+50.04 187.43 l
+50.14 187.75 l
+50.24 188.11 l
+50.34 188.50 l
+50.44 188.93 l
+50.55 189.40 l
+50.65 189.94 l
+50.75 190.52 l
+50.85 191.14 l
+50.95 191.82 l
+51.05 192.55 l
+51.16 193.36 l
+51.26 194.22 l
+51.36 195.14 l
+51.46 196.12 l
+51.56 197.15 l
+51.66 198.26 l
+51.77 199.44 l
+51.87 200.67 l
+51.97 201.96 l
+52.07 203.30 l
+52.17 204.71 l
+52.27 206.18 l
+52.38 207.70 l
+52.48 209.26 l
+52.58 210.87 l
+52.68 212.52 l
+52.78 214.22 l
+52.89 215.94 l
+52.99 217.70 l
+53.09 219.47 l
+53.19 221.27 l
+53.29 223.08 l
+53.39 224.90 l
+53.50 226.73 l
+53.60 228.56 l
+53.70 230.38 l
+53.80 232.18 l
+53.90 233.98 l
+54.00 235.75 l
+54.11 237.50 l
+54.21 239.23 l
+54.31 240.91 l
+54.41 242.56 l
+54.51 244.17 l
+54.61 245.75 l
+54.72 247.28 l
+54.82 248.75 l
+54.92 250.17 l
+55.02 251.54 l
+55.12 252.85 l
+55.22 254.12 l
+55.33 255.31 l
+55.43 256.44 l
+55.53 257.52 l
+55.63 258.53 l
+55.73 259.48 l
+55.83 260.36 l
+55.94 261.16 l
+56.04 261.90 l
+56.14 262.58 l
+56.24 263.20 l
+56.34 263.75 l
+56.45 264.21 l
+56.55 264.62 l
+56.65 264.97 l
+56.75 265.25 l
+56.85 265.48 l
+56.95 265.63 l
+57.06 265.73 l
+57.16 265.77 l
+57.26 265.77 l
+57.36 265.71 l
+57.46 265.60 l
+57.56 265.45 l
+57.67 265.26 l
+57.77 265.04 l
+57.87 264.78 l
+57.97 264.50 l
+58.07 264.19 l
+58.17 263.85 l
+58.28 263.51 l
+58.38 263.15 l
+58.48 262.78 l
+58.58 262.40 l
+58.68 262.02 l
+58.78 261.64 l
+58.89 261.26 l
+58.99 260.88 l
+59.09 260.51 l
+59.19 260.15 l
+59.29 259.79 l
+59.39 259.45 l
+59.50 259.11 l
+59.60 258.79 l
+59.70 258.48 l
+59.80 258.18 l
+59.90 257.89 l
+60.01 257.61 l
+60.11 257.34 l
+60.21 257.09 l
+60.31 256.84 l
+60.41 256.60 l
+60.51 256.37 l
+60.62 256.15 l
+60.72 255.94 l
+60.82 255.73 l
+60.92 255.53 l
+61.02 255.34 l
+61.12 255.15 l
+61.23 254.97 l
+61.33 254.79 l
+61.43 254.61 l
+61.53 254.44 l
+61.63 254.27 l
+61.73 254.10 l
+61.84 253.93 l
+61.94 253.77 l
+62.04 253.60 l
+62.14 253.43 l
+62.24 253.25 l
+62.34 253.07 l
+62.45 252.89 l
+62.55 252.70 l
+62.65 252.51 l
+62.75 252.30 l
+62.85 252.09 l
+62.96 251.86 l
+63.06 251.62 l
+63.16 251.37 l
+63.26 251.10 l
+63.36 250.82 l
+63.46 250.52 l
+63.57 250.20 l
+63.67 249.86 l
+63.77 249.50 l
+63.87 249.12 l
+63.97 248.72 l
+64.07 248.29 l
+64.18 247.85 l
+64.28 247.39 l
+64.38 246.90 l
+64.48 246.40 l
+64.58 245.88 l
+64.68 245.34 l
+64.79 244.79 l
+64.89 244.22 l
+64.99 243.63 l
+65.09 243.04 l
+65.19 242.44 l
+65.29 241.83 l
+65.40 241.22 l
+65.50 240.60 l
+65.60 239.98 l
+65.70 239.37 l
+65.80 238.75 l
+65.90 238.15 l
+66.01 237.55 l
+66.11 236.96 l
+66.21 236.37 l
+66.31 235.80 l
+66.41 235.24 l
+66.52 234.70 l
+66.62 234.16 l
+66.72 233.64 l
+66.82 233.13 l
+66.92 232.63 l
+67.02 232.15 l
+67.13 231.67 l
+67.23 231.20 l
+67.33 230.75 l
+67.43 230.30 l
+67.53 229.85 l
+67.63 229.41 l
+67.74 228.98 l
+67.84 228.55 l
+67.94 228.11 l
+68.04 227.68 l
+68.14 227.24 l
+68.24 226.80 l
+68.35 226.36 l
+68.45 225.91 l
+68.55 225.45 l
+68.65 224.99 l
+68.75 224.52 l
+68.85 224.04 l
+68.96 223.55 l
+69.06 223.05 l
+69.16 222.55 l
+69.26 222.03 l
+69.36 221.51 l
+69.46 220.98 l
+69.57 220.44 l
+69.67 219.90 l
+69.77 219.35 l
+69.87 218.79 l
+69.97 218.23 l
+70.08 217.66 l
+70.18 217.09 l
+70.28 216.51 l
+70.38 215.94 l
+70.48 215.36 l
+70.58 214.79 l
+70.69 214.21 l
+70.79 213.64 l
+70.89 213.07 l
+70.99 212.50 l
+71.09 211.94 l
+71.19 211.39 l
+71.30 210.85 l
+71.40 210.31 l
+71.50 209.79 l
+71.60 209.28 l
+71.70 208.78 l
+71.80 208.30 l
+71.91 207.83 l
+72.01 207.38 l
+72.11 206.94 l
+72.21 206.53 l
+72.31 206.13 l
+72.41 205.75 l
+72.52 205.39 l
+72.62 205.05 l
+72.72 204.73 l
+72.82 204.43 l
+72.92 204.15 l
+73.03 203.88 l
+73.13 203.63 l
+73.23 203.40 l
+73.33 203.18 l
+73.43 202.97 l
+73.53 202.78 l
+73.64 202.60 l
+73.74 202.42 l
+73.84 202.25 l
+73.94 202.09 l
+74.04 201.93 l
+74.14 201.77 l
+74.25 201.61 l
+74.35 201.45 l
+74.45 201.29 l
+74.55 201.12 l
+74.65 200.95 l
+74.75 200.77 l
+74.86 200.58 l
+74.96 200.39 l
+75.06 200.18 l
+75.16 199.97 l
+75.26 199.75 l
+75.36 199.52 l
+75.47 199.28 l
+75.57 199.04 l
+75.67 198.78 l
+75.77 198.53 l
+75.87 198.26 l
+75.97 198.00 l
+76.08 197.73 l
+76.18 197.46 l
+76.28 197.19 l
+76.38 196.92 l
+76.48 196.65 l
+76.59 196.39 l
+76.69 196.13 l
+76.79 195.88 l
+76.89 195.63 l
+76.99 195.39 l
+77.09 195.16 l
+77.20 194.94 l
+77.30 194.73 l
+77.40 194.53 l
+77.50 194.33 l
+77.60 194.15 l
+77.70 193.98 l
+77.81 193.82 l
+77.91 193.66 l
+78.01 193.52 l
+78.11 193.38 l
+78.21 193.26 l
+78.31 193.14 l
+78.42 193.02 l
+78.52 192.92 l
+78.62 192.81 l
+78.72 192.72 l
+78.82 192.63 l
+78.92 192.54 l
+79.03 192.45 l
+79.13 192.37 l
+79.23 192.29 l
+79.33 192.22 l
+79.43 192.14 l
+79.53 192.07 l
+79.64 192.00 l
+79.74 191.92 l
+79.84 191.85 l
+79.94 191.78 l
+80.04 191.71 l
+80.15 191.64 l
+80.25 191.57 l
+80.35 191.50 l
+80.45 191.43 l
+80.55 191.35 l
+80.65 191.28 l
+80.76 191.21 l
+80.86 191.13 l
+80.96 191.05 l
+81.06 190.98 l
+81.16 190.90 l
+81.26 190.81 l
+81.37 190.73 l
+81.47 190.64 l
+81.57 190.55 l
+81.67 190.46 l
+81.77 190.36 l
+81.87 190.26 l
+81.98 190.16 l
+82.08 190.05 l
+82.18 189.95 l
+82.28 189.84 l
+82.38 189.72 l
+82.48 189.60 l
+82.59 189.49 l
+82.69 189.37 l
+82.79 189.24 l
+82.89 189.12 l
+82.99 188.99 l
+83.10 188.87 l
+83.20 188.74 l
+83.30 188.61 l
+83.40 188.49 l
+83.50 188.36 l
+83.60 188.24 l
+83.71 188.12 l
+83.81 188.00 l
+83.91 187.88 l
+84.01 187.77 l
+84.11 187.66 l
+84.21 187.55 l
+84.32 187.45 l
+84.42 187.35 l
+84.52 187.26 l
+84.62 187.17 l
+84.72 187.09 l
+84.82 187.01 l
+84.93 186.94 l
+85.03 186.87 l
+85.13 186.80 l
+85.23 186.74 l
+85.33 186.69 l
+85.43 186.64 l
+85.54 186.59 l
+85.64 186.55 l
+85.74 186.51 l
+85.84 186.48 l
+85.94 186.45 l
+86.04 186.42 l
+86.15 186.40 l
+86.25 186.37 l
+86.35 186.36 l
+86.45 186.34 l
+86.55 186.32 l
+86.66 186.31 l
+86.76 186.30 l
+86.86 186.29 l
+86.96 186.28 l
+87.06 186.28 l
+87.16 186.27 l
+87.27 186.26 l
+87.37 186.26 l
+87.47 186.26 l
+87.57 186.25 l
+87.67 186.25 l
+87.77 186.25 l
+87.88 186.25 l
+87.98 186.25 l
+88.08 186.25 l
+88.18 186.25 l
+88.28 186.25 l
+88.38 186.25 l
+88.49 186.24 l
+88.59 186.24 l
+88.69 186.24 l
+88.79 186.24 l
+88.89 186.24 l
+88.99 186.24 l
+89.10 186.23 l
+89.20 186.23 l
+89.30 186.22 l
+89.40 186.21 l
+89.50 186.20 l
+89.60 186.19 l
+89.71 186.18 l
+89.81 186.17 l
+89.91 186.15 l
+90.01 186.13 l
+90.11 186.12 l
+90.22 186.10 l
+90.32 186.08 l
+90.42 186.05 l
+90.52 186.03 l
+90.62 186.00 l
+90.72 185.98 l
+90.83 185.95 l
+90.93 185.92 l
+91.03 185.90 l
+91.13 185.87 l
+91.23 185.84 l
+91.33 185.81 l
+91.44 185.78 l
+91.54 185.76 l
+91.64 185.73 l
+91.74 185.71 l
+91.84 185.68 l
+91.94 185.66 l
+92.05 185.64 l
+92.15 185.62 l
+92.25 185.60 l
+92.35 185.58 l
+92.45 185.57 l
+92.55 185.56 l
+92.66 185.54 l
+92.76 185.54 l
+92.86 185.53 l
+92.96 185.52 l
+93.06 185.52 l
+93.17 185.52 l
+93.27 185.52 l
+93.37 185.52 l
+93.47 185.52 l
+93.57 185.52 l
+93.67 185.52 l
+93.78 185.53 l
+93.88 185.53 l
+93.98 185.54 l
+94.08 185.54 l
+94.18 185.55 l
+94.28 185.55 l
+94.39 185.56 l
+94.49 185.56 l
+94.59 185.57 l
+94.69 185.57 l
+94.79 185.57 l
+94.89 185.57 l
+95.00 185.57 l
+95.10 185.57 l
+95.20 185.56 l
+95.30 185.56 l
+95.40 185.56 l
+95.50 185.55 l
+95.61 185.54 l
+95.71 185.53 l
+95.81 185.52 l
+95.91 185.51 l
+96.01 185.50 l
+96.11 185.49 l
+96.22 185.48 l
+96.32 185.47 l
+96.42 185.45 l
+96.52 185.44 l
+96.62 185.43 l
+96.73 185.41 l
+96.83 185.40 l
+96.93 185.39 l
+97.03 185.38 l
+97.13 185.37 l
+97.23 185.35 l
+97.34 185.34 l
+97.44 185.33 l
+97.54 185.32 l
+97.64 185.32 l
+97.74 185.31 l
+97.84 185.30 l
+97.95 185.29 l
+98.05 185.29 l
+98.15 185.28 l
+98.25 185.27 l
+98.35 185.27 l
+98.45 185.27 l
+98.56 185.26 l
+98.66 185.26 l
+98.76 185.26 l
+98.86 185.25 l
+98.96 185.25 l
+99.06 185.25 l
+99.17 185.25 l
+99.27 185.25 l
+99.37 185.24 l
+99.47 185.24 l
+99.57 185.24 l
+99.67 185.24 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 169.12 274.91 Tm (Expected Values: P\(Y=j|X\)) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+1.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+15.21 41.24 m
+15.98 41.24 l
+16.75 41.24 l
+17.52 41.24 l
+18.29 41.24 l
+19.06 41.24 l
+19.83 41.24 l
+20.60 41.24 l
+21.37 41.24 l
+22.14 41.24 l
+22.91 41.24 l
+23.68 41.24 l
+24.44 41.24 l
+25.21 41.24 l
+25.98 41.24 l
+26.75 41.25 l
+27.52 41.25 l
+28.29 41.25 l
+29.06 41.25 l
+29.83 41.25 l
+30.60 41.25 l
+31.37 41.26 l
+32.14 41.26 l
+32.91 41.26 l
+33.67 41.26 l
+34.44 41.27 l
+35.21 41.27 l
+35.98 41.27 l
+36.75 41.27 l
+37.52 41.28 l
+38.29 41.28 l
+39.06 41.29 l
+39.83 41.29 l
+40.60 41.29 l
+41.37 41.30 l
+42.14 41.30 l
+42.90 41.31 l
+43.67 41.31 l
+44.44 41.32 l
+45.21 41.32 l
+45.98 41.32 l
+46.75 41.33 l
+47.52 41.33 l
+48.29 41.34 l
+49.06 41.34 l
+49.83 41.35 l
+50.60 41.36 l
+51.37 41.36 l
+52.13 41.37 l
+52.90 41.37 l
+53.67 41.38 l
+54.44 41.38 l
+55.21 41.39 l
+55.98 41.40 l
+56.75 41.40 l
+57.52 41.41 l
+58.29 41.42 l
+59.06 41.43 l
+59.83 41.44 l
+60.60 41.45 l
+61.36 41.46 l
+62.13 41.47 l
+62.90 41.49 l
+63.67 41.50 l
+64.44 41.52 l
+65.21 41.53 l
+65.98 41.55 l
+66.75 41.57 l
+67.52 41.59 l
+68.29 41.61 l
+69.06 41.64 l
+69.83 41.66 l
+70.59 41.69 l
+71.36 41.71 l
+72.13 41.74 l
+72.90 41.77 l
+73.67 41.80 l
+74.44 41.83 l
+75.21 41.87 l
+75.98 41.90 l
+76.75 41.94 l
+77.52 41.97 l
+78.29 42.01 l
+79.06 42.05 l
+79.82 42.08 l
+80.59 42.12 l
+81.36 42.16 l
+82.13 42.20 l
+82.90 42.24 l
+83.67 42.28 l
+84.44 42.32 l
+85.21 42.36 l
+85.98 42.40 l
+86.75 42.44 l
+87.52 42.48 l
+88.29 42.52 l
+89.05 42.56 l
+89.82 42.60 l
+90.59 42.64 l
+91.36 42.68 l
+92.13 42.72 l
+92.90 42.76 l
+93.67 42.80 l
+94.44 42.83 l
+95.21 42.87 l
+95.98 42.91 l
+96.75 42.95 l
+97.51 42.99 l
+98.28 43.03 l
+99.05 43.07 l
+99.82 43.11 l
+100.59 43.15 l
+101.36 43.19 l
+102.13 43.23 l
+102.90 43.28 l
+103.67 43.32 l
+104.44 43.36 l
+105.21 43.41 l
+105.98 43.46 l
+106.74 43.50 l
+107.51 43.55 l
+108.28 43.60 l
+109.05 43.65 l
+109.82 43.71 l
+110.59 43.76 l
+111.36 43.81 l
+112.13 43.87 l
+112.90 43.93 l
+113.67 43.99 l
+114.44 44.05 l
+115.21 44.12 l
+115.97 44.18 l
+116.74 44.25 l
+117.51 44.32 l
+118.28 44.39 l
+119.05 44.46 l
+119.82 44.53 l
+120.59 44.60 l
+121.36 44.68 l
+122.13 44.76 l
+122.90 44.83 l
+123.67 44.91 l
+124.44 44.99 l
+125.20 45.07 l
+125.97 45.15 l
+126.74 45.24 l
+127.51 45.32 l
+128.28 45.40 l
+129.05 45.48 l
+129.82 45.57 l
+130.59 45.65 l
+131.36 45.73 l
+132.13 45.81 l
+132.90 45.89 l
+133.67 45.97 l
+134.43 46.05 l
+135.20 46.13 l
+135.97 46.21 l
+136.74 46.28 l
+137.51 46.36 l
+138.28 46.43 l
+139.05 46.51 l
+139.82 46.58 l
+140.59 46.65 l
+141.36 46.72 l
+142.13 46.79 l
+142.90 46.85 l
+143.66 46.92 l
+144.43 46.98 l
+145.20 47.05 l
+145.97 47.11 l
+146.74 47.17 l
+147.51 47.23 l
+148.28 47.28 l
+149.05 47.34 l
+149.82 47.40 l
+150.59 47.45 l
+151.36 47.50 l
+152.13 47.56 l
+152.89 47.61 l
+153.66 47.66 l
+154.43 47.71 l
+155.20 47.76 l
+155.97 47.80 l
+156.74 47.85 l
+157.51 47.90 l
+158.28 47.94 l
+159.05 47.98 l
+159.82 48.03 l
+160.59 48.07 l
+161.36 48.11 l
+162.12 48.15 l
+162.89 48.19 l
+163.66 48.23 l
+164.43 48.26 l
+165.20 48.30 l
+165.97 48.33 l
+166.74 48.36 l
+167.51 48.39 l
+168.28 48.42 l
+169.05 48.45 l
+169.82 48.47 l
+170.59 48.50 l
+171.35 48.52 l
+172.12 48.53 l
+172.89 48.55 l
+173.66 48.56 l
+174.43 48.57 l
+175.20 48.58 l
+175.97 48.59 l
+176.74 48.59 l
+177.51 48.59 l
+178.28 48.59 l
+179.05 48.59 l
+179.82 48.58 l
+180.58 48.57 l
+181.35 48.56 l
+182.12 48.55 l
+182.89 48.54 l
+183.66 48.52 l
+184.43 48.50 l
+185.20 48.48 l
+185.97 48.46 l
+186.74 48.44 l
+187.51 48.42 l
+188.28 48.40 l
+189.05 48.37 l
+189.81 48.35 l
+190.58 48.32 l
+191.35 48.30 l
+192.12 48.27 l
+192.89 48.25 l
+193.66 48.22 l
+194.43 48.20 l
+195.20 48.17 l
+195.97 48.15 l
+196.74 48.13 l
+197.51 48.10 l
+198.28 48.08 l
+199.04 48.05 l
+199.81 48.03 l
+200.58 48.01 l
+201.35 47.98 l
+202.12 47.96 l
+202.89 47.94 l
+203.66 47.92 l
+204.43 47.89 l
+205.20 47.87 l
+205.97 47.85 l
+206.74 47.83 l
+207.50 47.80 l
+208.27 47.78 l
+209.04 47.75 l
+209.81 47.73 l
+210.58 47.70 l
+211.35 47.67 l
+212.12 47.65 l
+212.89 47.62 l
+213.66 47.59 l
+214.43 47.56 l
+215.20 47.53 l
+215.97 47.50 l
+216.73 47.46 l
+217.50 47.43 l
+218.27 47.40 l
+219.04 47.36 l
+219.81 47.32 l
+220.58 47.29 l
+221.35 47.25 l
+222.12 47.21 l
+222.89 47.18 l
+223.66 47.14 l
+224.43 47.10 l
+225.20 47.06 l
+225.96 47.02 l
+226.73 46.99 l
+227.50 46.95 l
+228.27 46.91 l
+229.04 46.87 l
+229.81 46.84 l
+230.58 46.80 l
+231.35 46.77 l
+232.12 46.73 l
+232.89 46.70 l
+233.66 46.66 l
+234.43 46.63 l
+235.19 46.59 l
+235.96 46.56 l
+236.73 46.53 l
+237.50 46.49 l
+238.27 46.46 l
+239.04 46.42 l
+239.81 46.39 l
+240.58 46.35 l
+241.35 46.32 l
+242.12 46.28 l
+242.89 46.24 l
+243.66 46.20 l
+244.42 46.16 l
+245.19 46.12 l
+245.96 46.08 l
+246.73 46.04 l
+247.50 45.99 l
+248.27 45.94 l
+249.04 45.89 l
+249.81 45.84 l
+250.58 45.79 l
+251.35 45.73 l
+252.12 45.68 l
+252.89 45.62 l
+253.65 45.56 l
+254.42 45.50 l
+255.19 45.44 l
+255.96 45.37 l
+256.73 45.31 l
+257.50 45.24 l
+258.27 45.17 l
+259.04 45.10 l
+259.81 45.03 l
+260.58 44.96 l
+261.35 44.89 l
+262.12 44.82 l
+262.88 44.75 l
+263.65 44.67 l
+264.42 44.60 l
+265.19 44.53 l
+265.96 44.46 l
+266.73 44.38 l
+267.50 44.31 l
+268.27 44.24 l
+269.04 44.17 l
+269.81 44.10 l
+270.58 44.03 l
+271.35 43.96 l
+272.11 43.89 l
+272.88 43.82 l
+273.65 43.76 l
+274.42 43.69 l
+275.19 43.63 l
+275.96 43.57 l
+276.73 43.51 l
+277.50 43.45 l
+278.27 43.39 l
+279.04 43.34 l
+279.81 43.28 l
+280.58 43.23 l
+281.34 43.18 l
+282.11 43.13 l
+282.88 43.09 l
+283.65 43.04 l
+284.42 43.00 l
+285.19 42.95 l
+285.96 42.91 l
+286.73 42.87 l
+287.50 42.84 l
+288.27 42.80 l
+289.04 42.76 l
+289.81 42.73 l
+290.57 42.70 l
+291.34 42.66 l
+292.11 42.63 l
+292.88 42.60 l
+293.65 42.57 l
+294.42 42.54 l
+295.19 42.51 l
+295.96 42.49 l
+296.73 42.46 l
+297.50 42.44 l
+298.27 42.41 l
+299.04 42.39 l
+299.80 42.36 l
+300.57 42.34 l
+301.34 42.32 l
+302.11 42.30 l
+302.88 42.27 l
+303.65 42.25 l
+304.42 42.23 l
+305.19 42.22 l
+305.96 42.20 l
+306.73 42.18 l
+307.50 42.16 l
+308.27 42.14 l
+309.03 42.13 l
+309.80 42.11 l
+310.57 42.10 l
+311.34 42.08 l
+312.11 42.07 l
+312.88 42.05 l
+313.65 42.04 l
+314.42 42.02 l
+315.19 42.01 l
+315.96 42.00 l
+316.73 41.98 l
+317.50 41.97 l
+318.26 41.96 l
+319.03 41.95 l
+319.80 41.93 l
+320.57 41.92 l
+321.34 41.91 l
+322.11 41.90 l
+322.88 41.89 l
+323.65 41.88 l
+324.42 41.87 l
+325.19 41.86 l
+325.96 41.85 l
+326.72 41.84 l
+327.49 41.83 l
+328.26 41.82 l
+329.03 41.81 l
+329.80 41.80 l
+330.57 41.79 l
+331.34 41.78 l
+332.11 41.77 l
+332.88 41.77 l
+333.65 41.76 l
+334.42 41.75 l
+335.19 41.74 l
+335.95 41.73 l
+336.72 41.73 l
+337.49 41.72 l
+338.26 41.71 l
+339.03 41.70 l
+339.80 41.69 l
+340.57 41.69 l
+341.34 41.68 l
+342.11 41.67 l
+342.88 41.66 l
+343.65 41.65 l
+344.42 41.64 l
+345.18 41.63 l
+345.95 41.63 l
+346.72 41.62 l
+347.49 41.61 l
+348.26 41.60 l
+349.03 41.59 l
+349.80 41.58 l
+350.57 41.57 l
+351.34 41.56 l
+352.11 41.55 l
+352.88 41.54 l
+353.65 41.53 l
+354.41 41.52 l
+355.18 41.51 l
+355.95 41.50 l
+356.72 41.49 l
+357.49 41.49 l
+358.26 41.48 l
+359.03 41.47 l
+359.80 41.46 l
+360.57 41.45 l
+361.34 41.44 l
+362.11 41.43 l
+362.88 41.42 l
+363.64 41.41 l
+364.41 41.40 l
+365.18 41.39 l
+365.95 41.39 l
+366.72 41.38 l
+367.49 41.37 l
+368.26 41.36 l
+369.03 41.36 l
+369.80 41.35 l
+370.57 41.34 l
+371.34 41.34 l
+372.11 41.33 l
+372.87 41.32 l
+373.64 41.32 l
+374.41 41.31 l
+375.18 41.31 l
+375.95 41.30 l
+376.72 41.30 l
+377.49 41.29 l
+378.26 41.29 l
+379.03 41.29 l
+379.80 41.28 l
+380.57 41.28 l
+381.34 41.28 l
+382.10 41.27 l
+382.87 41.27 l
+383.64 41.27 l
+384.41 41.26 l
+385.18 41.26 l
+385.95 41.26 l
+386.72 41.26 l
+387.49 41.26 l
+388.26 41.25 l
+389.03 41.25 l
+389.80 41.25 l
+390.57 41.25 l
+391.33 41.25 l
+392.10 41.25 l
+392.87 41.25 l
+393.64 41.24 l
+394.41 41.24 l
+395.18 41.24 l
+395.95 41.24 l
+396.72 41.24 l
+397.49 41.24 l
+398.26 41.24 l
+399.03 41.24 l
+399.80 41.24 l
+400.56 41.24 l
+401.33 41.24 l
+402.10 41.24 l
+402.87 41.24 l
+403.64 41.24 l
+404.41 41.24 l
+405.18 41.24 l
+405.95 41.24 l
+406.72 41.24 l
+407.49 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+45.97 38.02 m 404.39 38.02 l S
+45.97 38.02 m 45.97 35.64 l S
+117.65 38.02 m 117.65 35.64 l S
+189.34 38.02 m 189.34 35.64 l S
+261.02 38.02 m 261.02 35.64 l S
+332.71 38.02 m 332.71 35.64 l S
+404.39 38.02 m 404.39 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 38.07 24.71 Tm (-0.4) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 109.76 24.71 Tm (-0.2) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 183.78 24.71 Tm (0.0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 255.46 24.71 Tm (0.2) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 327.15 24.71 Tm (0.4) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 398.83 24.71 Tm (0.6) Tj
+ET
+38.02 41.24 m 38.02 113.93 l S
+38.02 41.24 m 35.64 41.24 l S
+38.02 55.78 m 35.64 55.78 l S
+38.02 70.32 m 35.64 70.32 l S
+38.02 84.86 m 35.64 84.86 l S
+38.02 99.39 m 35.64 99.39 l S
+38.02 113.93 m 35.64 113.93 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 39.01 Tm (0) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 53.55 Tm (5) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 65.87 Tm (10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 94.95 Tm (20) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.24 m 422.50 41.24 l S
+0.502 1.000 0.000 RG
+0.75 w
+[] 0 d
+37.94 41.24 m
+38.38 41.24 l
+38.82 41.24 l
+39.26 41.24 l
+39.69 41.24 l
+40.13 41.24 l
+40.57 41.24 l
+41.01 41.24 l
+41.45 41.24 l
+41.88 41.24 l
+42.32 41.24 l
+42.76 41.25 l
+43.20 41.25 l
+43.64 41.25 l
+44.07 41.25 l
+44.51 41.25 l
+44.95 41.26 l
+45.39 41.26 l
+45.83 41.26 l
+46.26 41.27 l
+46.70 41.27 l
+47.14 41.27 l
+47.58 41.28 l
+48.02 41.28 l
+48.45 41.28 l
+48.89 41.29 l
+49.33 41.29 l
+49.77 41.30 l
+50.21 41.30 l
+50.64 41.31 l
+51.08 41.31 l
+51.52 41.31 l
+51.96 41.32 l
+52.39 41.32 l
+52.83 41.32 l
+53.27 41.33 l
+53.71 41.33 l
+54.15 41.33 l
+54.58 41.33 l
+55.02 41.34 l
+55.46 41.34 l
+55.90 41.34 l
+56.34 41.34 l
+56.77 41.34 l
+57.21 41.34 l
+57.65 41.34 l
+58.09 41.34 l
+58.53 41.34 l
+58.96 41.34 l
+59.40 41.34 l
+59.84 41.34 l
+60.28 41.35 l
+60.72 41.35 l
+61.15 41.35 l
+61.59 41.35 l
+62.03 41.35 l
+62.47 41.35 l
+62.91 41.35 l
+63.34 41.35 l
+63.78 41.35 l
+64.22 41.35 l
+64.66 41.35 l
+65.10 41.35 l
+65.53 41.35 l
+65.97 41.35 l
+66.41 41.35 l
+66.85 41.36 l
+67.29 41.36 l
+67.72 41.36 l
+68.16 41.36 l
+68.60 41.36 l
+69.04 41.36 l
+69.47 41.37 l
+69.91 41.37 l
+70.35 41.37 l
+70.79 41.38 l
+71.23 41.38 l
+71.66 41.39 l
+72.10 41.39 l
+72.54 41.40 l
+72.98 41.41 l
+73.42 41.42 l
+73.85 41.42 l
+74.29 41.43 l
+74.73 41.44 l
+75.17 41.45 l
+75.61 41.46 l
+76.04 41.48 l
+76.48 41.49 l
+76.92 41.50 l
+77.36 41.52 l
+77.80 41.53 l
+78.23 41.55 l
+78.67 41.56 l
+79.11 41.58 l
+79.55 41.59 l
+79.99 41.61 l
+80.42 41.63 l
+80.86 41.64 l
+81.30 41.66 l
+81.74 41.68 l
+82.18 41.70 l
+82.61 41.71 l
+83.05 41.73 l
+83.49 41.75 l
+83.93 41.77 l
+84.36 41.79 l
+84.80 41.81 l
+85.24 41.82 l
+85.68 41.84 l
+86.12 41.86 l
+86.55 41.88 l
+86.99 41.90 l
+87.43 41.93 l
+87.87 41.95 l
+88.31 41.97 l
+88.74 41.99 l
+89.18 42.01 l
+89.62 42.03 l
+90.06 42.05 l
+90.50 42.07 l
+90.93 42.09 l
+91.37 42.10 l
+91.81 42.12 l
+92.25 42.14 l
+92.69 42.15 l
+93.12 42.16 l
+93.56 42.17 l
+94.00 42.18 l
+94.44 42.19 l
+94.88 42.19 l
+95.31 42.20 l
+95.75 42.20 l
+96.19 42.20 l
+96.63 42.19 l
+97.07 42.19 l
+97.50 42.19 l
+97.94 42.18 l
+98.38 42.18 l
+98.82 42.17 l
+99.26 42.16 l
+99.69 42.16 l
+100.13 42.15 l
+100.57 42.15 l
+101.01 42.14 l
+101.44 42.14 l
+101.88 42.14 l
+102.32 42.14 l
+102.76 42.14 l
+103.20 42.15 l
+103.63 42.16 l
+104.07 42.17 l
+104.51 42.18 l
+104.95 42.19 l
+105.39 42.21 l
+105.82 42.22 l
+106.26 42.24 l
+106.70 42.26 l
+107.14 42.28 l
+107.58 42.30 l
+108.01 42.32 l
+108.45 42.34 l
+108.89 42.37 l
+109.33 42.39 l
+109.77 42.41 l
+110.20 42.43 l
+110.64 42.45 l
+111.08 42.47 l
+111.52 42.49 l
+111.96 42.51 l
+112.39 42.53 l
+112.83 42.54 l
+113.27 42.56 l
+113.71 42.58 l
+114.15 42.60 l
+114.58 42.62 l
+115.02 42.63 l
+115.46 42.65 l
+115.90 42.67 l
+116.34 42.69 l
+116.77 42.71 l
+117.21 42.73 l
+117.65 42.76 l
+118.09 42.78 l
+118.52 42.81 l
+118.96 42.83 l
+119.40 42.86 l
+119.84 42.89 l
+120.28 42.92 l
+120.71 42.95 l
+121.15 42.98 l
+121.59 43.02 l
+122.03 43.05 l
+122.47 43.08 l
+122.90 43.12 l
+123.34 43.15 l
+123.78 43.19 l
+124.22 43.22 l
+124.66 43.26 l
+125.09 43.29 l
+125.53 43.33 l
+125.97 43.36 l
+126.41 43.39 l
+126.85 43.42 l
+127.28 43.46 l
+127.72 43.49 l
+128.16 43.52 l
+128.60 43.55 l
+129.04 43.58 l
+129.47 43.61 l
+129.91 43.64 l
+130.35 43.67 l
+130.79 43.70 l
+131.23 43.73 l
+131.66 43.76 l
+132.10 43.79 l
+132.54 43.83 l
+132.98 43.86 l
+133.42 43.90 l
+133.85 43.94 l
+134.29 43.98 l
+134.73 44.02 l
+135.17 44.06 l
+135.60 44.11 l
+136.04 44.16 l
+136.48 44.21 l
+136.92 44.26 l
+137.36 44.31 l
+137.79 44.37 l
+138.23 44.43 l
+138.67 44.49 l
+139.11 44.55 l
+139.55 44.62 l
+139.98 44.69 l
+140.42 44.76 l
+140.86 44.83 l
+141.30 44.91 l
+141.74 44.98 l
+142.17 45.07 l
+142.61 45.15 l
+143.05 45.24 l
+143.49 45.33 l
+143.93 45.42 l
+144.36 45.51 l
+144.80 45.61 l
+145.24 45.71 l
+145.68 45.82 l
+146.12 45.92 l
+146.55 46.03 l
+146.99 46.14 l
+147.43 46.26 l
+147.87 46.37 l
+148.31 46.49 l
+148.74 46.61 l
+149.18 46.72 l
+149.62 46.84 l
+150.06 46.96 l
+150.50 47.08 l
+150.93 47.19 l
+151.37 47.31 l
+151.81 47.42 l
+152.25 47.53 l
+152.68 47.64 l
+153.12 47.74 l
+153.56 47.84 l
+154.00 47.94 l
+154.44 48.03 l
+154.87 48.12 l
+155.31 48.21 l
+155.75 48.29 l
+156.19 48.38 l
+156.63 48.46 l
+157.06 48.54 l
+157.50 48.63 l
+157.94 48.71 l
+158.38 48.79 l
+158.82 48.88 l
+159.25 48.97 l
+159.69 49.06 l
+160.13 49.15 l
+160.57 49.25 l
+161.01 49.35 l
+161.44 49.46 l
+161.88 49.57 l
+162.32 49.69 l
+162.76 49.81 l
+163.20 49.93 l
+163.63 50.06 l
+164.07 50.18 l
+164.51 50.32 l
+164.95 50.45 l
+165.39 50.59 l
+165.82 50.73 l
+166.26 50.87 l
+166.70 51.01 l
+167.14 51.14 l
+167.57 51.28 l
+168.01 51.42 l
+168.45 51.56 l
+168.89 51.70 l
+169.33 51.84 l
+169.76 51.97 l
+170.20 52.11 l
+170.64 52.24 l
+171.08 52.37 l
+171.52 52.50 l
+171.95 52.62 l
+172.39 52.74 l
+172.83 52.86 l
+173.27 52.98 l
+173.71 53.09 l
+174.14 53.21 l
+174.58 53.32 l
+175.02 53.43 l
+175.46 53.53 l
+175.90 53.64 l
+176.33 53.75 l
+176.77 53.86 l
+177.21 53.97 l
+177.65 54.09 l
+178.09 54.22 l
+178.52 54.35 l
+178.96 54.49 l
+179.40 54.64 l
+179.84 54.81 l
+180.28 54.98 l
+180.71 55.18 l
+181.15 55.39 l
+181.59 55.61 l
+182.03 55.85 l
+182.47 56.11 l
+182.90 56.39 l
+183.34 56.68 l
+183.78 56.99 l
+184.22 57.32 l
+184.65 57.66 l
+185.09 58.02 l
+185.53 58.39 l
+185.97 58.76 l
+186.41 59.15 l
+186.84 59.54 l
+187.28 59.93 l
+187.72 60.32 l
+188.16 60.71 l
+188.60 61.09 l
+189.03 61.46 l
+189.47 61.82 l
+189.91 62.16 l
+190.35 62.49 l
+190.79 62.79 l
+191.22 63.06 l
+191.66 63.30 l
+192.10 63.51 l
+192.54 63.70 l
+192.98 63.84 l
+193.41 63.96 l
+193.85 64.04 l
+194.29 64.07 l
+194.73 64.07 l
+195.17 64.04 l
+195.60 63.97 l
+196.04 63.86 l
+196.48 63.72 l
+196.92 63.54 l
+197.36 63.33 l
+197.79 63.10 l
+198.23 62.83 l
+198.67 62.54 l
+199.11 62.23 l
+199.55 61.89 l
+199.98 61.52 l
+200.42 61.14 l
+200.86 60.74 l
+201.30 60.33 l
+201.73 59.90 l
+202.17 59.46 l
+202.61 59.01 l
+203.05 58.54 l
+203.49 58.07 l
+203.92 57.60 l
+204.36 57.12 l
+204.80 56.63 l
+205.24 56.14 l
+205.68 55.65 l
+206.11 55.17 l
+206.55 54.68 l
+206.99 54.20 l
+207.43 53.72 l
+207.87 53.25 l
+208.30 52.79 l
+208.74 52.34 l
+209.18 51.89 l
+209.62 51.46 l
+210.06 51.03 l
+210.49 50.62 l
+210.93 50.22 l
+211.37 49.84 l
+211.81 49.46 l
+212.25 49.10 l
+212.68 48.75 l
+213.12 48.42 l
+213.56 48.09 l
+214.00 47.78 l
+214.44 47.48 l
+214.87 47.19 l
+215.31 46.91 l
+215.75 46.64 l
+216.19 46.37 l
+216.63 46.12 l
+217.06 45.88 l
+217.50 45.64 l
+217.94 45.41 l
+218.38 45.19 l
+218.81 44.97 l
+219.25 44.76 l
+219.69 44.56 l
+220.13 44.37 l
+220.57 44.18 l
+221.00 44.00 l
+221.44 43.82 l
+221.88 43.66 l
+222.32 43.50 l
+222.76 43.34 l
+223.19 43.20 l
+223.63 43.06 l
+224.07 42.92 l
+224.51 42.80 l
+224.95 42.68 l
+225.38 42.57 l
+225.82 42.47 l
+226.26 42.37 l
+226.70 42.28 l
+227.14 42.20 l
+227.57 42.12 l
+228.01 42.05 l
+228.45 41.98 l
+228.89 41.92 l
+229.33 41.87 l
+229.76 41.82 l
+230.20 41.77 l
+230.64 41.73 l
+231.08 41.69 l
+231.52 41.66 l
+231.95 41.63 l
+232.39 41.60 l
+232.83 41.58 l
+233.27 41.56 l
+233.71 41.55 l
+234.14 41.53 l
+234.58 41.52 l
+235.02 41.51 l
+235.46 41.50 l
+235.89 41.49 l
+236.33 41.48 l
+236.77 41.48 l
+237.21 41.47 l
+237.65 41.47 l
+238.08 41.47 l
+238.52 41.46 l
+238.96 41.46 l
+239.40 41.46 l
+239.84 41.45 l
+240.27 41.45 l
+240.71 41.45 l
+241.15 41.44 l
+241.59 41.44 l
+242.03 41.43 l
+242.46 41.43 l
+242.90 41.42 l
+243.34 41.42 l
+243.78 41.41 l
+244.22 41.40 l
+244.65 41.40 l
+245.09 41.39 l
+245.53 41.38 l
+245.97 41.38 l
+246.41 41.37 l
+246.84 41.36 l
+247.28 41.35 l
+247.72 41.35 l
+248.16 41.34 l
+248.60 41.33 l
+249.03 41.32 l
+249.47 41.32 l
+249.91 41.31 l
+250.35 41.31 l
+250.78 41.30 l
+251.22 41.29 l
+251.66 41.29 l
+252.10 41.28 l
+252.54 41.28 l
+252.97 41.27 l
+253.41 41.27 l
+253.85 41.26 l
+254.29 41.26 l
+254.73 41.26 l
+255.16 41.26 l
+255.60 41.25 l
+256.04 41.25 l
+256.48 41.25 l
+256.92 41.25 l
+257.35 41.25 l
+257.79 41.24 l
+258.23 41.24 l
+258.67 41.24 l
+259.11 41.24 l
+259.54 41.24 l
+259.98 41.24 l
+260.42 41.24 l
+260.86 41.24 l
+261.30 41.24 l
+261.73 41.24 l
+S
+0.000 1.000 1.000 RG
+117.03 41.24 m
+117.43 41.24 l
+117.82 41.24 l
+118.21 41.24 l
+118.60 41.24 l
+118.99 41.24 l
+119.38 41.24 l
+119.78 41.24 l
+120.17 41.24 l
+120.56 41.24 l
+120.95 41.25 l
+121.34 41.25 l
+121.73 41.25 l
+122.13 41.25 l
+122.52 41.25 l
+122.91 41.26 l
+123.30 41.26 l
+123.69 41.26 l
+124.09 41.27 l
+124.48 41.27 l
+124.87 41.28 l
+125.26 41.28 l
+125.65 41.29 l
+126.04 41.30 l
+126.44 41.31 l
+126.83 41.31 l
+127.22 41.32 l
+127.61 41.33 l
+128.00 41.34 l
+128.40 41.35 l
+128.79 41.36 l
+129.18 41.38 l
+129.57 41.39 l
+129.96 41.41 l
+130.35 41.42 l
+130.75 41.44 l
+131.14 41.46 l
+131.53 41.48 l
+131.92 41.50 l
+132.31 41.52 l
+132.71 41.54 l
+133.10 41.57 l
+133.49 41.59 l
+133.88 41.62 l
+134.27 41.65 l
+134.66 41.68 l
+135.06 41.71 l
+135.45 41.75 l
+135.84 41.78 l
+136.23 41.82 l
+136.62 41.85 l
+137.02 41.89 l
+137.41 41.93 l
+137.80 41.97 l
+138.19 42.01 l
+138.58 42.05 l
+138.97 42.09 l
+139.37 42.13 l
+139.76 42.17 l
+140.15 42.22 l
+140.54 42.26 l
+140.93 42.30 l
+141.32 42.34 l
+141.72 42.38 l
+142.11 42.42 l
+142.50 42.46 l
+142.89 42.50 l
+143.28 42.54 l
+143.68 42.58 l
+144.07 42.62 l
+144.46 42.66 l
+144.85 42.70 l
+145.24 42.74 l
+145.63 42.78 l
+146.03 42.83 l
+146.42 42.88 l
+146.81 42.93 l
+147.20 42.98 l
+147.59 43.04 l
+147.99 43.10 l
+148.38 43.16 l
+148.77 43.23 l
+149.16 43.30 l
+149.55 43.37 l
+149.94 43.45 l
+150.34 43.54 l
+150.73 43.63 l
+151.12 43.73 l
+151.51 43.83 l
+151.90 43.93 l
+152.30 44.05 l
+152.69 44.17 l
+153.08 44.29 l
+153.47 44.42 l
+153.86 44.56 l
+154.25 44.71 l
+154.65 44.86 l
+155.04 45.03 l
+155.43 45.20 l
+155.82 45.38 l
+156.21 45.57 l
+156.60 45.77 l
+157.00 45.99 l
+157.39 46.21 l
+157.78 46.44 l
+158.17 46.69 l
+158.56 46.94 l
+158.96 47.21 l
+159.35 47.48 l
+159.74 47.77 l
+160.13 48.06 l
+160.52 48.37 l
+160.91 48.68 l
+161.31 48.99 l
+161.70 49.32 l
+162.09 49.65 l
+162.48 49.98 l
+162.87 50.31 l
+163.27 50.65 l
+163.66 50.98 l
+164.05 51.32 l
+164.44 51.65 l
+164.83 51.98 l
+165.22 52.31 l
+165.62 52.63 l
+166.01 52.95 l
+166.40 53.26 l
+166.79 53.57 l
+167.18 53.87 l
+167.58 54.17 l
+167.97 54.46 l
+168.36 54.74 l
+168.75 55.02 l
+169.14 55.29 l
+169.53 55.56 l
+169.93 55.82 l
+170.32 56.08 l
+170.71 56.33 l
+171.10 56.57 l
+171.49 56.81 l
+171.88 57.04 l
+172.28 57.26 l
+172.67 57.48 l
+173.06 57.70 l
+173.45 57.91 l
+173.84 58.11 l
+174.24 58.31 l
+174.63 58.50 l
+175.02 58.69 l
+175.41 58.87 l
+175.80 59.05 l
+176.19 59.22 l
+176.59 59.39 l
+176.98 59.55 l
+177.37 59.70 l
+177.76 59.85 l
+178.15 60.00 l
+178.55 60.13 l
+178.94 60.26 l
+179.33 60.38 l
+179.72 60.50 l
+180.11 60.61 l
+180.50 60.71 l
+180.90 60.80 l
+181.29 60.88 l
+181.68 60.96 l
+182.07 61.02 l
+182.46 61.08 l
+182.86 61.12 l
+183.25 61.16 l
+183.64 61.18 l
+184.03 61.20 l
+184.42 61.21 l
+184.81 61.21 l
+185.21 61.21 l
+185.60 61.19 l
+185.99 61.17 l
+186.38 61.14 l
+186.77 61.10 l
+187.17 61.06 l
+187.56 61.01 l
+187.95 60.96 l
+188.34 60.89 l
+188.73 60.83 l
+189.12 60.75 l
+189.52 60.67 l
+189.91 60.58 l
+190.30 60.49 l
+190.69 60.38 l
+191.08 60.27 l
+191.47 60.15 l
+191.87 60.02 l
+192.26 59.88 l
+192.65 59.73 l
+193.04 59.57 l
+193.43 59.40 l
+193.83 59.23 l
+194.22 59.04 l
+194.61 58.85 l
+195.00 58.65 l
+195.39 58.44 l
+195.78 58.23 l
+196.18 58.01 l
+196.57 57.79 l
+196.96 57.57 l
+197.35 57.35 l
+197.74 57.13 l
+198.14 56.91 l
+198.53 56.69 l
+198.92 56.48 l
+199.31 56.27 l
+199.70 56.06 l
+200.09 55.86 l
+200.49 55.67 l
+200.88 55.48 l
+201.27 55.29 l
+201.66 55.11 l
+202.05 54.93 l
+202.45 54.75 l
+202.84 54.58 l
+203.23 54.41 l
+203.62 54.24 l
+204.01 54.07 l
+204.40 53.91 l
+204.80 53.74 l
+205.19 53.57 l
+205.58 53.40 l
+205.97 53.23 l
+206.36 53.07 l
+206.75 52.90 l
+207.15 52.73 l
+207.54 52.57 l
+207.93 52.41 l
+208.32 52.25 l
+208.71 52.09 l
+209.11 51.93 l
+209.50 51.78 l
+209.89 51.64 l
+210.28 51.49 l
+210.67 51.35 l
+211.06 51.22 l
+211.46 51.09 l
+211.85 50.96 l
+212.24 50.83 l
+212.63 50.71 l
+213.02 50.59 l
+213.42 50.47 l
+213.81 50.35 l
+214.20 50.23 l
+214.59 50.11 l
+214.98 49.99 l
+215.37 49.86 l
+215.77 49.74 l
+216.16 49.61 l
+216.55 49.48 l
+216.94 49.35 l
+217.33 49.22 l
+217.73 49.09 l
+218.12 48.95 l
+218.51 48.82 l
+218.90 48.68 l
+219.29 48.55 l
+219.68 48.41 l
+220.08 48.28 l
+220.47 48.15 l
+220.86 48.02 l
+221.25 47.89 l
+221.64 47.77 l
+222.03 47.65 l
+222.43 47.53 l
+222.82 47.41 l
+223.21 47.30 l
+223.60 47.18 l
+223.99 47.07 l
+224.39 46.96 l
+224.78 46.86 l
+225.17 46.75 l
+225.56 46.64 l
+225.95 46.53 l
+226.34 46.42 l
+226.74 46.31 l
+227.13 46.20 l
+227.52 46.09 l
+227.91 45.97 l
+228.30 45.86 l
+228.70 45.74 l
+229.09 45.62 l
+229.48 45.50 l
+229.87 45.37 l
+230.26 45.25 l
+230.65 45.13 l
+231.05 45.01 l
+231.44 44.88 l
+231.83 44.76 l
+232.22 44.65 l
+232.61 44.53 l
+233.01 44.42 l
+233.40 44.32 l
+233.79 44.22 l
+234.18 44.12 l
+234.57 44.03 l
+234.96 43.95 l
+235.36 43.87 l
+235.75 43.80 l
+236.14 43.73 l
+236.53 43.67 l
+236.92 43.62 l
+237.32 43.57 l
+237.71 43.53 l
+238.10 43.49 l
+238.49 43.46 l
+238.88 43.43 l
+239.27 43.40 l
+239.67 43.37 l
+240.06 43.35 l
+240.45 43.33 l
+240.84 43.30 l
+241.23 43.28 l
+241.62 43.26 l
+242.02 43.23 l
+242.41 43.21 l
+242.80 43.18 l
+243.19 43.15 l
+243.58 43.13 l
+243.98 43.09 l
+244.37 43.06 l
+244.76 43.03 l
+245.15 42.99 l
+245.54 42.95 l
+245.93 42.92 l
+246.33 42.88 l
+246.72 42.84 l
+247.11 42.80 l
+247.50 42.76 l
+247.89 42.72 l
+248.29 42.68 l
+248.68 42.65 l
+249.07 42.61 l
+249.46 42.58 l
+249.85 42.54 l
+250.24 42.51 l
+250.64 42.47 l
+251.03 42.44 l
+251.42 42.41 l
+251.81 42.38 l
+252.20 42.35 l
+252.60 42.32 l
+252.99 42.29 l
+253.38 42.27 l
+253.77 42.24 l
+254.16 42.21 l
+254.55 42.19 l
+254.95 42.16 l
+255.34 42.14 l
+255.73 42.11 l
+256.12 42.09 l
+256.51 42.07 l
+256.90 42.04 l
+257.30 42.02 l
+257.69 42.00 l
+258.08 41.98 l
+258.47 41.95 l
+258.86 41.93 l
+259.26 41.91 l
+259.65 41.89 l
+260.04 41.88 l
+260.43 41.86 l
+260.82 41.84 l
+261.21 41.82 l
+261.61 41.81 l
+262.00 41.80 l
+262.39 41.78 l
+262.78 41.77 l
+263.17 41.76 l
+263.57 41.75 l
+263.96 41.74 l
+264.35 41.73 l
+264.74 41.72 l
+265.13 41.71 l
+265.52 41.70 l
+265.92 41.69 l
+266.31 41.68 l
+266.70 41.67 l
+267.09 41.66 l
+267.48 41.66 l
+267.88 41.65 l
+268.27 41.64 l
+268.66 41.63 l
+269.05 41.62 l
+269.44 41.61 l
+269.83 41.60 l
+270.23 41.60 l
+270.62 41.59 l
+271.01 41.58 l
+271.40 41.57 l
+271.79 41.56 l
+272.18 41.55 l
+272.58 41.54 l
+272.97 41.53 l
+273.36 41.52 l
+273.75 41.52 l
+274.14 41.51 l
+274.54 41.50 l
+274.93 41.49 l
+275.32 41.48 l
+275.71 41.47 l
+276.10 41.46 l
+276.49 41.45 l
+276.89 41.44 l
+277.28 41.43 l
+277.67 41.42 l
+278.06 41.41 l
+278.45 41.40 l
+278.85 41.39 l
+279.24 41.38 l
+279.63 41.37 l
+280.02 41.36 l
+280.41 41.35 l
+280.80 41.34 l
+281.20 41.33 l
+281.59 41.32 l
+281.98 41.31 l
+282.37 41.31 l
+282.76 41.30 l
+283.16 41.29 l
+283.55 41.29 l
+283.94 41.28 l
+284.33 41.27 l
+284.72 41.27 l
+285.11 41.26 l
+285.51 41.26 l
+285.90 41.26 l
+286.29 41.25 l
+286.68 41.25 l
+287.07 41.25 l
+287.46 41.25 l
+287.86 41.25 l
+288.25 41.25 l
+288.64 41.24 l
+289.03 41.24 l
+289.42 41.24 l
+289.82 41.24 l
+290.21 41.24 l
+290.60 41.24 l
+290.99 41.24 l
+291.38 41.24 l
+291.77 41.24 l
+292.17 41.25 l
+292.56 41.25 l
+292.95 41.25 l
+293.34 41.25 l
+293.73 41.25 l
+294.13 41.25 l
+294.52 41.26 l
+294.91 41.26 l
+295.30 41.26 l
+295.69 41.27 l
+296.08 41.27 l
+296.48 41.27 l
+296.87 41.28 l
+297.26 41.28 l
+297.65 41.29 l
+298.04 41.29 l
+298.44 41.29 l
+298.83 41.30 l
+299.22 41.30 l
+299.61 41.31 l
+300.00 41.31 l
+300.39 41.31 l
+300.79 41.32 l
+301.18 41.32 l
+301.57 41.32 l
+301.96 41.32 l
+302.35 41.32 l
+302.75 41.32 l
+303.14 41.32 l
+303.53 41.32 l
+303.92 41.32 l
+304.31 41.32 l
+304.70 41.32 l
+305.10 41.31 l
+305.49 41.31 l
+305.88 41.31 l
+306.27 41.30 l
+306.66 41.30 l
+307.05 41.30 l
+307.45 41.29 l
+307.84 41.29 l
+308.23 41.28 l
+308.62 41.28 l
+309.01 41.27 l
+309.41 41.27 l
+309.80 41.27 l
+310.19 41.26 l
+310.58 41.26 l
+310.97 41.26 l
+311.36 41.26 l
+311.76 41.25 l
+312.15 41.25 l
+312.54 41.25 l
+312.93 41.25 l
+313.32 41.25 l
+313.72 41.24 l
+314.11 41.24 l
+314.50 41.24 l
+314.89 41.24 l
+315.28 41.24 l
+315.67 41.24 l
+316.07 41.24 l
+316.46 41.24 l
+316.85 41.24 l
+317.24 41.24 l
+S
+0.502 0.000 1.000 RG
+162.73 41.24 m
+162.98 41.24 l
+163.23 41.25 l
+163.48 41.25 l
+163.72 41.26 l
+163.97 41.27 l
+164.22 41.29 l
+164.46 41.31 l
+164.71 41.34 l
+164.96 41.37 l
+165.21 41.40 l
+165.45 41.44 l
+165.70 41.48 l
+165.95 41.51 l
+166.19 41.55 l
+166.44 41.57 l
+166.69 41.60 l
+166.93 41.61 l
+167.18 41.62 l
+167.43 41.63 l
+167.68 41.64 l
+167.92 41.65 l
+168.17 41.66 l
+168.42 41.67 l
+168.66 41.68 l
+168.91 41.70 l
+169.16 41.73 l
+169.40 41.77 l
+169.65 41.83 l
+169.90 41.90 l
+170.15 42.00 l
+170.39 42.13 l
+170.64 42.29 l
+170.89 42.49 l
+171.13 42.72 l
+171.38 42.99 l
+171.63 43.29 l
+171.88 43.60 l
+172.12 43.93 l
+172.37 44.26 l
+172.62 44.56 l
+172.86 44.84 l
+173.11 45.09 l
+173.36 45.29 l
+173.60 45.46 l
+173.85 45.59 l
+174.10 45.70 l
+174.35 45.79 l
+174.59 45.89 l
+174.84 46.00 l
+175.09 46.14 l
+175.33 46.33 l
+175.58 46.59 l
+175.83 46.91 l
+176.07 47.30 l
+176.32 47.75 l
+176.57 48.27 l
+176.82 48.85 l
+177.06 49.48 l
+177.31 50.16 l
+177.56 50.88 l
+177.80 51.63 l
+178.05 52.40 l
+178.30 53.20 l
+178.55 54.02 l
+178.79 54.85 l
+179.04 55.69 l
+179.29 56.54 l
+179.53 57.39 l
+179.78 58.24 l
+180.03 59.08 l
+180.27 59.92 l
+180.52 60.75 l
+180.77 61.57 l
+181.02 62.38 l
+181.26 63.20 l
+181.51 64.04 l
+181.76 64.93 l
+182.00 65.89 l
+182.25 66.96 l
+182.50 68.15 l
+182.74 69.50 l
+182.99 71.01 l
+183.24 72.70 l
+183.49 74.57 l
+183.73 76.60 l
+183.98 78.80 l
+184.23 81.13 l
+184.47 83.60 l
+184.72 86.20 l
+184.97 88.91 l
+185.22 91.72 l
+185.46 94.63 l
+185.71 97.62 l
+185.96 100.66 l
+186.20 103.73 l
+186.45 106.77 l
+186.70 109.73 l
+186.94 112.53 l
+187.19 115.10 l
+187.44 117.36 l
+187.69 119.23 l
+187.93 120.63 l
+188.18 121.48 l
+188.43 121.77 l
+188.67 121.50 l
+188.92 120.68 l
+189.17 119.34 l
+189.41 117.54 l
+189.66 115.33 l
+189.91 112.82 l
+190.16 110.09 l
+190.40 107.24 l
+190.65 104.37 l
+190.90 101.57 l
+191.14 98.93 l
+191.39 96.50 l
+191.64 94.29 l
+191.89 92.29 l
+192.13 90.47 l
+192.38 88.78 l
+192.63 87.14 l
+192.87 85.52 l
+193.12 83.84 l
+193.37 82.10 l
+193.61 80.27 l
+193.86 78.38 l
+194.11 76.47 l
+194.36 74.58 l
+194.60 72.76 l
+194.85 71.03 l
+195.10 69.40 l
+195.34 67.86 l
+195.59 66.40 l
+195.84 64.98 l
+196.08 63.60 l
+196.33 62.23 l
+196.58 60.88 l
+196.83 59.55 l
+197.07 58.27 l
+197.32 57.07 l
+197.57 55.98 l
+197.81 55.04 l
+198.06 54.24 l
+198.31 53.60 l
+198.56 53.11 l
+198.80 52.76 l
+199.05 52.53 l
+199.30 52.40 l
+199.54 52.34 l
+199.79 52.34 l
+200.04 52.36 l
+200.28 52.39 l
+200.53 52.41 l
+200.78 52.41 l
+201.03 52.39 l
+201.27 52.35 l
+201.52 52.30 l
+201.77 52.26 l
+202.01 52.23 l
+202.26 52.22 l
+202.51 52.23 l
+202.76 52.26 l
+203.00 52.31 l
+203.25 52.36 l
+203.50 52.39 l
+203.74 52.39 l
+203.99 52.35 l
+204.24 52.26 l
+204.48 52.12 l
+204.73 51.93 l
+204.98 51.71 l
+205.23 51.47 l
+205.47 51.21 l
+205.72 50.94 l
+205.97 50.66 l
+206.21 50.38 l
+206.46 50.09 l
+206.71 49.78 l
+206.95 49.45 l
+207.20 49.11 l
+207.45 48.76 l
+207.70 48.40 l
+207.94 48.05 l
+208.19 47.71 l
+208.44 47.38 l
+208.68 47.09 l
+208.93 46.81 l
+209.18 46.56 l
+209.43 46.34 l
+209.67 46.14 l
+209.92 45.96 l
+210.17 45.81 l
+210.41 45.68 l
+210.66 45.58 l
+210.91 45.51 l
+211.15 45.47 l
+211.40 45.44 l
+211.65 45.44 l
+211.90 45.45 l
+212.14 45.45 l
+212.39 45.45 l
+212.64 45.42 l
+212.88 45.37 l
+213.13 45.28 l
+213.38 45.14 l
+213.62 44.97 l
+213.87 44.76 l
+214.12 44.54 l
+214.37 44.30 l
+214.61 44.06 l
+214.86 43.84 l
+215.11 43.66 l
+215.35 43.52 l
+215.60 43.43 l
+215.85 43.39 l
+216.10 43.39 l
+216.34 43.44 l
+216.59 43.51 l
+216.84 43.61 l
+217.08 43.70 l
+217.33 43.78 l
+217.58 43.85 l
+217.82 43.90 l
+218.07 43.93 l
+218.32 43.94 l
+218.57 43.92 l
+218.81 43.88 l
+219.06 43.82 l
+219.31 43.74 l
+219.55 43.65 l
+219.80 43.55 l
+220.05 43.45 l
+220.29 43.35 l
+220.54 43.26 l
+220.79 43.19 l
+221.04 43.14 l
+221.28 43.13 l
+221.53 43.15 l
+221.78 43.20 l
+222.02 43.27 l
+222.27 43.36 l
+222.52 43.44 l
+222.77 43.52 l
+223.01 43.57 l
+223.26 43.59 l
+223.51 43.57 l
+223.75 43.53 l
+224.00 43.45 l
+224.25 43.35 l
+224.49 43.24 l
+224.74 43.11 l
+224.99 42.98 l
+225.24 42.85 l
+225.48 42.71 l
+225.73 42.58 l
+225.98 42.46 l
+226.22 42.34 l
+226.47 42.23 l
+226.72 42.13 l
+226.96 42.06 l
+227.21 42.00 l
+227.46 41.96 l
+227.71 41.93 l
+227.95 41.93 l
+228.20 41.93 l
+228.45 41.93 l
+228.69 41.93 l
+228.94 41.92 l
+229.19 41.91 l
+229.44 41.88 l
+229.68 41.85 l
+229.93 41.82 l
+230.18 41.79 l
+230.42 41.77 l
+230.67 41.77 l
+230.92 41.78 l
+231.16 41.80 l
+231.41 41.84 l
+231.66 41.89 l
+231.91 41.95 l
+232.15 42.00 l
+232.40 42.04 l
+232.65 42.07 l
+232.89 42.08 l
+233.14 42.08 l
+233.39 42.05 l
+233.63 42.01 l
+233.88 41.96 l
+234.13 41.90 l
+234.38 41.85 l
+234.62 41.79 l
+234.87 41.75 l
+235.12 41.73 l
+235.36 41.72 l
+235.61 41.74 l
+235.86 41.78 l
+236.11 41.84 l
+236.35 41.92 l
+236.60 42.02 l
+236.85 42.14 l
+237.09 42.26 l
+237.34 42.40 l
+237.59 42.52 l
+237.83 42.64 l
+238.08 42.74 l
+238.33 42.81 l
+238.58 42.85 l
+238.82 42.85 l
+239.07 42.82 l
+239.32 42.76 l
+239.56 42.68 l
+239.81 42.59 l
+240.06 42.49 l
+240.31 42.39 l
+240.55 42.30 l
+240.80 42.23 l
+241.05 42.17 l
+241.29 42.13 l
+241.54 42.10 l
+241.79 42.08 l
+242.03 42.07 l
+242.28 42.06 l
+242.53 42.05 l
+242.78 42.03 l
+243.02 42.01 l
+243.27 41.98 l
+243.52 41.94 l
+243.76 41.90 l
+244.01 41.86 l
+244.26 41.81 l
+244.50 41.77 l
+244.75 41.73 l
+245.00 41.71 l
+245.25 41.68 l
+245.49 41.66 l
+245.74 41.64 l
+245.99 41.62 l
+246.23 41.60 l
+246.48 41.58 l
+246.73 41.55 l
+246.98 41.51 l
+247.22 41.48 l
+247.47 41.44 l
+247.72 41.40 l
+247.96 41.37 l
+248.21 41.34 l
+248.46 41.31 l
+248.70 41.29 l
+248.95 41.27 l
+249.20 41.26 l
+249.45 41.25 l
+249.69 41.25 l
+249.94 41.24 l
+250.19 41.24 l
+250.43 41.24 l
+250.68 41.24 l
+250.93 41.24 l
+251.17 41.24 l
+251.42 41.24 l
+251.67 41.24 l
+251.92 41.24 l
+252.16 41.24 l
+252.41 41.24 l
+252.66 41.24 l
+252.90 41.24 l
+253.15 41.24 l
+253.40 41.24 l
+253.65 41.24 l
+253.89 41.24 l
+254.14 41.24 l
+254.39 41.24 l
+254.63 41.24 l
+254.88 41.24 l
+255.13 41.24 l
+255.37 41.24 l
+255.62 41.24 l
+255.87 41.24 l
+256.12 41.24 l
+256.36 41.24 l
+256.61 41.24 l
+256.86 41.24 l
+257.10 41.24 l
+257.35 41.24 l
+257.60 41.24 l
+257.84 41.24 l
+258.09 41.24 l
+258.34 41.24 l
+258.59 41.24 l
+258.83 41.24 l
+259.08 41.24 l
+259.33 41.24 l
+259.57 41.24 l
+259.82 41.24 l
+260.07 41.24 l
+260.32 41.24 l
+260.56 41.24 l
+260.81 41.24 l
+261.06 41.24 l
+261.30 41.24 l
+261.55 41.24 l
+261.80 41.24 l
+262.04 41.24 l
+262.29 41.24 l
+262.54 41.24 l
+262.79 41.24 l
+263.03 41.24 l
+263.28 41.24 l
+263.53 41.24 l
+263.77 41.24 l
+264.02 41.24 l
+264.27 41.24 l
+264.51 41.24 l
+264.76 41.24 l
+265.01 41.24 l
+265.26 41.24 l
+265.50 41.24 l
+265.75 41.24 l
+266.00 41.24 l
+266.24 41.24 l
+266.49 41.24 l
+266.74 41.24 l
+266.99 41.24 l
+267.23 41.24 l
+267.48 41.24 l
+267.73 41.24 l
+267.97 41.24 l
+268.22 41.24 l
+268.47 41.24 l
+268.71 41.25 l
+268.96 41.25 l
+269.21 41.26 l
+269.46 41.27 l
+269.70 41.29 l
+269.95 41.31 l
+270.20 41.33 l
+270.44 41.36 l
+270.69 41.40 l
+270.94 41.43 l
+271.19 41.47 l
+271.43 41.51 l
+271.68 41.55 l
+271.93 41.59 l
+272.17 41.62 l
+272.42 41.64 l
+272.67 41.66 l
+272.91 41.68 l
+273.16 41.68 l
+273.41 41.69 l
+273.66 41.68 l
+273.90 41.67 l
+274.15 41.66 l
+274.40 41.64 l
+274.64 41.61 l
+274.89 41.58 l
+275.14 41.54 l
+275.38 41.50 l
+275.63 41.46 l
+275.88 41.42 l
+276.13 41.39 l
+276.37 41.35 l
+276.62 41.32 l
+276.87 41.30 l
+277.11 41.28 l
+277.36 41.27 l
+277.61 41.26 l
+277.86 41.25 l
+278.10 41.25 l
+278.35 41.24 l
+278.60 41.24 l
+278.84 41.24 l
+279.09 41.24 l
+279.34 41.24 l
+279.58 41.24 l
+279.83 41.24 l
+280.08 41.24 l
+280.33 41.24 l
+280.57 41.24 l
+280.82 41.24 l
+281.07 41.24 l
+281.31 41.25 l
+281.56 41.25 l
+281.81 41.26 l
+282.05 41.27 l
+282.30 41.28 l
+282.55 41.30 l
+282.80 41.32 l
+283.04 41.35 l
+283.29 41.38 l
+283.54 41.41 l
+283.78 41.45 l
+284.03 41.48 l
+284.28 41.51 l
+284.53 41.53 l
+284.77 41.54 l
+285.02 41.55 l
+285.27 41.54 l
+285.51 41.52 l
+285.76 41.50 l
+286.01 41.47 l
+286.25 41.43 l
+286.50 41.40 l
+286.75 41.37 l
+287.00 41.34 l
+287.24 41.31 l
+287.49 41.29 l
+287.74 41.27 l
+287.98 41.26 l
+288.23 41.25 l
+288.48 41.25 l
+288.72 41.24 l
+288.97 41.24 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 144.08 130.91 Tm (First Differences: P\(Y=j|X1\)-P\(Y=j|X\)) Tj
+ET
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+3076 0 obj
+<<
+/CreationDate (D:20070601024422)
+/ModDate (D:20070601024422)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+3077 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+3078 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 3081 0 R
+>>
+endobj
+3079 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 3081 0 R
+>>
+endobj
+3080 0 obj
+67452
+endobj
+3081 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+3074 0 obj <<
+/D [3072 0 R /XYZ 72 720 null]
 >> endobj
-2829 0 obj <<
-/D [2825 0 R /XYZ 72 287.802 null]
+3075 0 obj <<
+/D [3072 0 R /XYZ 72 305.491 null]
 >> endobj
-2824 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F54 1447 0 R /F32 668 0 R /F48 554 0 R >>
+3071 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F75 1442 0 R /F35 663 0 R /F69 550 0 R >>
+/XObject << /Im27 3064 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2832 0 obj <<
-/Length 2317      
+3084 0 obj <<
+/Length 2223      
 /Filter /FlateDecode
 >>
 stream
-x��ZK��6��W萃T!xtʗTe���VR;�M9>hDj�[5�(����
�/�8{��E$A��h4����nf����9c$Qj~��3��jn�%TBS�~���㒛EV,W��Eu���,K���{��ʏK��
-Z�C��6����ȏ�o�'��>������wy��v��۷�\��l
�^�o�`C��
J�>.-[|�G���Cz
-������ͻ��Dh9_qE�����oTQ|	�H��0��dN]�_}��$_kb>_1��%2�քN���>oc�p"�#?�#BQL���+[������F���HH"M󱐃y(B���#� xG��y���Oo(M�d�H\F{Jq�b�۵��pL!N�f0J#��]݇ѱu�R�
)�t�B�s}����:�&�MM�0
�s
����+#�J�����+ꩁWrc���l	76��
|V���h1��{��.2�JN�~����t���(�^Zfi��l�׵� �
����7h��<��N�u��dA�4?Ve~{�rĺ�7nOŦ�p(��F��
p��x�$�ϧ��w`�R�oES�D����l]�pP��[���z�H=�
- at xw��D��,
-g��xI�
���9 ׊K¨�zq6��
�W�,�u����s|<V�
F��:��a��.EVT�14���SB͙�h��~{��r�̌:am�h\Q�4��s$~i�c%Q4�5��ض������weD$@%3SԺ�f��f�ztɅ_�M�p	�8l����s���ʡ|
z��.C�<�7��Ù����j���&���Qss at 0]d Zor�0��6�6=X��p��ʼ{�r��.�-w?�o��m[�S��ͷ̎Ud3R���'mE�`��g�Cl�,���޻�SK��1�'��	
�0gJ4+�MD�יּI�1�8J=��*y V5 CˡLє�z��u��{�fi^�/��SG��6
8�swk�l;�C��<�3	(t��<�Y4q�u^�D�/������uK�5h`���������=��1b�xt/��(ŧ�g9�?�/ğvn�
%�`|�.N�M���2	��I�K��I	��� �W��r��_3�j"1їI �'�� �+	��	 �p�4����w�^
�R��kD�O�Z�6��1Dv� [...]
�ʱ*�1r��oX��
G�n�q6��6�_��h���
��^E��?gʞ�4+w�yq����q� �p�K��@ͭ"ֵ�
�{��QҼ����9�p�@c˔�+)3��D�zJw�D��3�������В1z�ٯL�U	���h$\�3���pbM�j�q�N�����&�3w�֓J��&(��3��P[̹V��
	rg��()��z��\%�Dxદ�<1��QD�xσ�R8N���İ�
��4�0������# �-�<`�CJh�Ǻ'�M�b
��oU
����������.�k�Ѐ&�T�ڇ�:ttP�	O#�9i�����j�Y�T�I�z.��C
-�c�Mۘ��}B��%��;�h����pz�UtRDW���
���
0!�ٶ��Ր�$X΃�a���ُ73�`�9�؂5?n"��o���g�?�y:��w3J$��'����d��������n���/��U-k���;��p�
V�<
."�"�v@��
M��+���CƐ��.u`�K8S=�P�
���M�֯�J�8Q�S^��n0��/D;[c曁��e����)�Uu(_�1�{�e���
�*E��>ZZ䊽��EΊ��!��H� �<�
���H�5��cW2��^����O�L��
�)9��!V\��
�D�X��1X�.��墳�bS� /d
6g��;�I ⸣�ۼX{�t�i?C��nݭ3k;�3��c�,|�ў"%>W ��D(m�V
-mb*���>Q8ЭW���gw���y������Iy�y�
-$	�
I/u���Z����9 ��c�BP~�M�!�S���z�r����
b��R�e>!Zw���Z
��T��s�`�\+3֠�E�b��:��gm��9�W����g{�H��:l_���o�hI�_�(�.����Fx�:�猼	-_��E
+y��!����'8LB�J�z!�
�V���Ǔ���ž7�?~x�g=�㗈�}5�'��G��I��"^
^�0�\$~fx
�z9�3� R�T��G=�W`NL��|����KFc>��,O���K,�*�M���Wbyb��'&�<�gayb�_��	,O�MX
��f	�����_qc�:R�w�`
endstream
+x��ZKs�6��W�Ѓ<S"��E&�Kf�Nr�S�I|�e�UDzYn��ŋDP��8�lB�
,�~�Ћ�ٓWP��Z����`�P�д"T�W���-����#����Q�A�7��?�g^ܚ����g�c���R�O���R���f�8m�8�/�P�կ���
��k?Ι�v�]���L��~qc;�vc��B��"̬��C���
U�G
��'8s�N��W�(A⳶{�~O%5o���[W�2�J��4��ڼVD�P�
܊,�H�C(Dq�V�yN���73�$�I�
�ʎJ���=�SF�J6X�I-tۙ��:$������e4��u�/�Z�`�&P=MhO��,�	�b���&�n�Q�ɷ�
�C��	��>&Ҳ�B�����t�"����	�S,
c�{Y��u��p��*�ժ��gE*
��^	Z�+L�\�{�>����y(�����}�&���
��,9��,�=�hص�B.
�I��E،A?.2Pt�a0�\XF����n<�-=~�e0�/�<,/r/�j�=�����d�����(�m0����J&��QɆ=2����M����{u2!X��(pŮ���
|a��ˢ!N��I;�2�1��=���4�ϱ3�1^:D۳u��vӬN7�NOR����f��>���MV�"�F��pk
$�CBr��:%�XԓD����3�U�
����;�L�@�&LJ�����9ѕ�2���X�L�9[|��=�2�
'�|���6�#��(ѰS�����@w6�k�5НǬM��T�w�}W�����
D5�
<3z+�2}n�1�����z��A)�s���[�P*<�h5c�u,۬Q�43�
y�4�Ї�g��
+��مZ[4����ʣ������1���
+������~���Yτ*����G�������
u
+a�:�(�M��*G�~����|���o��[7b�/��S��i4�
:LL�>�(�ܰ����|Ӓ��mp9�JP�
�HB$P�2�m��S�]�R"%LIOĄ�D<Pz���&�
C����v.�}�E�]|r��JLȯ�a��%�`��o�_���gL�0��w��X~�G�+��S��%Y
+�Q�t0�'�=؝�/?Eť���4�^�M���.L��:Ϧ�.�ބD�YG!Ĵ��QJ�ߛ�#��BH�0Ld���5�iMT����
�t��tT
hK
r�ў�P�3�g���:��̦j��Đ�cR���

'�̿����>_��ɥ�f
�4>m��%	P�OI�u�2q"��{r"���E'i��H��4K�����
;��5����?���=�[ژθK�\���.;��R��j��W#mC�
4��:w�.��h�C�Ww.MRU
PxN7�f��tG�!e+v%��Z��L��J�Yf��h��
��	cL9�p���[M�X
R�m1U%!q��<�B��\��
&C�k['�&��y�I���
������&�Gs'T�i��r�
εWtٽ��� �~R�UT�������49��k.mo,aN�%�MB����m��Z��n���z��e�w�*�w��9�SH�we]5�'E$�*U������3{y<3�D
V �/��
*AT�X�>�ޝ��|F�73J��'l�W��4�g?]�����T���v��5��m�����Oj���4���a���" yҕc�S�Dm
+�pf��sc|��X���8����_�I�@$u�V˘,D ���O{C �-Lm�S�tNV�T��sd�&%�Y�L\3顉EF�]��
�
�83�5c��MO�?���{
.�>�#ѢB��Cg�c��!”
+�l at SZ`''�bumCRo��?^mn
9�	����Pw�B4I,�^
ķ����j��k:�گ�H������h��,$M:-��K�]1o��g
�6���?�2W at dn���
N��
+e�ו
%\2R�*	�����pߡ��9
ȝ�25�4�y>���/�#T���bס:o��>�]g3��SB�6��E��{q
@B��G	qA7�	s
��;�tV��tV�	t
��[W4֚�t�ّJK1v�q��E��9�P���z��B��:Z���r@���dmW~��c��`^4���Z�.��V�m�Ո-$�;*~;x���V������R*k N�����ٗhN00�I��46͔���b+i��!X�g����e��b�#�}d�_�Ţu��00UX� ���	p|�U`����_endstream
 endobj
-2831 0 obj <<
+3083 0 obj <<
 /Type /Page
-/Contents 2832 0 R
-/Resources 2830 0 R
+/Contents 3084 0 R
+/Resources 3082 0 R
 /MediaBox [0 0 612 792]
-/Parent 2802 0 R
+/Parent 3070 0 R
 >> endobj
-2833 0 obj <<
-/D [2831 0 R /XYZ 72 720 null]
+3085 0 obj <<
+/D [3083 0 R /XYZ 72 720 null]
 >> endobj
-2834 0 obj <<
-/D [2831 0 R /XYZ 72 527.028 null]
+3086 0 obj <<
+/D [3083 0 R /XYZ 72 526.98 null]
 >> endobj
-2830 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F54 1447 0 R /F48 554 0 R /F78 924 0 R /F76 747 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F52 1472 0 R /F35 1440 0 R /F41 1704 0 R >>
+3082 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F75 1442 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R /F38 1435 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2837 0 obj <<
-/Length 2472      
+3089 0 obj <<
+/Length 2335      
 /Filter /FlateDecode
 >>
 stream
-x��ZI�����W49����q$�|ItrH�%R-)�T/
 �=o)n�b,�{̥E�
�������w?~��)Ej����&V7q����]���ϧ�VG��ұ
�~�� ��ҩho�u���*��oVJ		��ݮ�c�
j<�1w���"�ܪ8��]���`_���>
`kV�y�+��epUV-��Z:�=��\Ym��[���x�qW�o��3^[|�U����,
��*����
-�EE��D$\�
���=
�QP�<��.�7����5�ЈHK����
-�_���ە�6�=\���_
T6(D�B>�꿁�$
-�`�=A=�9�������C}��9Z�����ܛ����R%���HR��a��t�Z��
q{5��V:IE�Z++ �dtHK�0�S�|
��g�{B��E�`J��[�i51"��G�/��Z�$r[�(�3�tj���C�a��
-�<�E�|�
�
���X�D�Q�����	�z�Q�(�Y$�/�8�Ǡ#|}��b0���s��
�Z33ǒ�*Z/)2N��
E�3�;�HH�
-�եS�%������f�}�7��pȚg����{����(N�;��&�I�{[��(s ��I
�N at b;©>��ԉS�C�1�
A�����
o .l�AP`
c\hEb�U�w�st��qdj�Lҹyf��P��W4`�
-h
��nz&�C��}�vE��k؜ �5�p�O&�W�%
-���d�?)��"{O!�m�ùlS[�P$CEW�#�ݣ�Lc"�UO2��q >�=�M�y!��ԗ�
�M'�	/`�<�͘n���N���6�OLo��A��P&Ej�#!�_|�����nWF[Fg4�û��
��b�<�{/���_zP�k�\�B�}��!�OF�b�H at y�e"n)�!�"G�< ��a�O�T������T������p��lH	J���0T
��|��{/��qV>��9��V-
|
�5x�͂(��^�JM��v�
)]g�l��k$�
ﯡ�hI���@�
P��5 {jHp�p�==ZH��>v1T-����0�׏M���pi}��7����&w�$Y at Q��TӖ�C+y3�A�Q
-�)��>�JjB��Q�H�T�<*�̣�L
��D���&�St�ּ�\�M�zo�D�i�AeK*�|I��<�!�5�0X��}Q
S9�O/���������ͅ�r��9櫃?7�����5���c�<�iU���G�P���*#j������6!w����9��
��Y��@���2<�������y���*w-0B�z
zצ��կBh̬��9�ܲ�
S�x8��	B��9�m�C�����
Բ��-
}@��@e2m��+���g{)��0���
-���Jܫz���c�����ޤ�5�h��J^/t�b��V���zFc�-�՝[����T��c��
�n7l/^���哛2�kP|�vУS���i\�3
�&�S��F�i흷$Q�V��S&�q0��Q�}�Ņ�BI��*
��i�*��
�j�_�Rq���)�jS���M=��5�w���>�Y�t,(ОuuV �?�הd}9�J2%�4�u
-��`�p���x
6.�re�o��T
y��_;1�e
bz�%;
Hu�I�#��7
�4��y�
>/�B�1)|sM�"�&@yr��,�W<u4�8^�P���Tv<���/�cq �ٸpv��)٨ɪ{�c	6d
-	-�g����6�+��"7��0[S��̹*���yV�~	���A�w!�|)}3=%�0���ĵx�֔ �r8
���b�<�X����Z�1�
y��
��B�.��&`u�s n�e}p��JlP{"�����D��� C�y��Xb���$8�
�
:��,���z�ũ*��j�A(��i	�`O��C��K�Ț��K�<�̈́�P�z�͠e�]
DD���v��d�Kn���u��
�����i���:Ib�K��
4�撠��}�h����/z�&h��g�p
��}�P-�X���Q"����l!=�O�S�"�q�*
�ᛖ;��s��샜�jF�D�<�]�������K�`/�Zi+&�}ѫ�`�ޣ0��ޤ"h0�+����m~�7�v�`,��*3Z�@�i;��>5�;.
b
?�:	����̲��
-�4�?�ӻ�0�Y�ֹU�īH����T�E�;���y�7�vp5|�z��R7~M��������px}�K�(�� }%�J@?^�pp��}]x����
�@�X7F�l�̾Uv;�b�Hx?XC\���8�l����B=���]���[o!�#���,kh�d!'���Ç�{wbDbTX�"��o¸��B�
-d������
S���=����ܬh�
�bvSWy�,��-�:��
^�߮�~Cy��
�fU�tUb���X�6�=w;����6xl4�d?��Wt���<���s#�Ҩ¹�P���(
$|���w��=�endstream
+x��ˎ#��_10� +�o�
�`ރ/�I����Z�2�eI3�� ���"��f�5�M`��3�(V�]E}������
�H�������
C-���?O~�����<�ߙ0r�i#'sxs�>���/�?~��7z1�0e<�ˏ ��bXw����1�{����U�j
�Ŕ��G�BL��:bk����A�����Z`��nʭ�2Dž`�;��v�����E��[����pu@��?�w9��
��9�0��w���'\�>��L
=y?�a�'?'1&���K����oQLn��;@��G��tI�7(ѻ��u�F%��R��� Fpc����[����߽�� y6�@��Ŀa+VM
��›[ĸLk�뿄_�����B�N�_u�����0���fpO^@¯�&wW�R�'���
Q �Q
D� �\v�ãG�4U*��
����
���akZ�N�|T�C	A$��
+m���n�����(��ei�3%{�1�1#�M�0.��@�5f81���Rk�3�+�$�nk�����Lvs��T�h��B
<,(�>�Yl�Y{	ˌQ���D'�<�qf����#7��݇�c/ln�7�o9��[*,�:�d[���jr���[�"�s
�jBy�AejM�.=�'D��l����.�m��7\���8�v��r�$��6kiC��֔O!#GO
1tD�M���,O-�y�!|���e��
+n�J��3A�dNx�@��4!��Pk=8�U
%�*d�'�(��#��(��eN4�|F�/5��g���CH:3%&���]��R�<*�Rb�̒�)�<�3�O�^���=|������4��<
�U�e�k��<R3�I!����H	hVOn��g����EP�y��@�v�K�#U8#Q�e�a	���b�;^�>����k;&��X+K)̻�,x� ut�2 �
���q}��Wp�;�0?֝L��$�����{Z��}�
�� 4#s�%�bL2QW��v��
R�
+Z���YR]C"�WԐh�� wa�Ё�I�R��\d�@�a>�e��D���e���$�$�K5

+�(�O�5���:�V�|",���+H�]t0��*��]�0�Z
���g��)��S,r�U�k���,nԬ�GA���q�5z�n�"
�(N�g�T��
�K]���b�j���7�	�w_�_G�-��DV��2Hl�t-�R_žb��֣C��lW6����~��7
+q�v��n�&K�P�����-o�@7{Ҡ`�Rs�>׌�0��T%��la��k��ֈ(��kDனW��(Q�4��M��+;F
+�^Rb��V�b��V���CM��ŕO��!�����
����CeW��:��
��P�ޡ9�!�l
�(m�7
h���
+��~a�&ƚ�����N�`{)g��ht;w��{<�z���4!IT<�u(�;Gu�
����\�� ��b.ߩ��q�)�̄5�W*F#	Qp�j%�y���p�C0UY�g�|(�K߱�#��8
U��6��� BW3O:K�=����HGc�����jPԃ�h)rN����']���Xe�_i��*�Eʁ��ڤF�����8�Mb�'V��r�7�k�.��f����ᙟ1Y�_c��?��cuh�g�
���w{֨�����[�#
0/$S^g�)�ӶSz�5¶A��.�~�9�u��>��ʊ`8���jϽ��l�
3?r;
���K� ̗����2�!��M��ȤR�҇h8�u�?f�LC0����u�}h����p�*�W���x�Fk�~ IUq��X���^�lF[�w�:��~�ю��$����XѷM�2�N���<��C��I!u���Ӽ
	���D��U�4Ij��������� H�*���fP�i�-�O��5n�K�ͫ��Qw���O-�r�|��z8䟬(y�5��[=2�
_U�s
�e
����*Kew��e^@�4}���� [...]
b�����S�^
������'LlR�-A����Sw�r�\�?�I�D�i�i�K�
M)b�
s����Tzi��~�CKSa����
+���/�	�K�<;d%{
+���R���<y�pe�,��
�u\���Z���6�-F�,�4���໒�
�5T�ƪ�
+^�p��5,�3\W4����ѯW�+��Y��s�?��<V�
��TYr4�f��yC�VG���
�N��)y5�����گ�_��3�p&�P�p��᳁�qo~�|��S`endstream
 endobj
-2836 0 obj <<
+3088 0 obj <<
 /Type /Page
-/Contents 2837 0 R
-/Resources 2835 0 R
+/Contents 3089 0 R
+/Resources 3087 0 R
 /MediaBox [0 0 612 792]
-/Parent 2840 0 R
+/Parent 3070 0 R
 >> endobj
-2838 0 obj <<
-/D [2836 0 R /XYZ 72 720 null]
+3090 0 obj <<
+/D [3088 0 R /XYZ 72 720 null]
 >> endobj
-2839 0 obj <<
-/D [2836 0 R /XYZ 72 697.999 null]
+3091 0 obj <<
+/D [3088 0 R /XYZ 72 698.015 null]
 >> endobj
-2835 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F29 672 0 R /F32 668 0 R /F51 1171 0 R >>
+3087 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2843 0 obj <<
-/Length 1013      
+3094 0 obj <<
+/Length 1085      
 /Filter /FlateDecode
 >>
 stream
-x�uUY��6~�_a�I,Z��}K�M�d�]�E���5�����vS���syt�"r8��
�7�~s�z�
�U�e��nQ�E�*NAj�����0���!�t�a����,�៛��w&�%^D�(
���f��(ɲ��Y�آ�����O���]=��cɏ�
-Z�I��u:��%4E��
�>ۃy��wa�(݊�Ox���ԍ
�oai�Џ
-����s���X[{L_|R�$u��4�$}���an&�xIV�R&Ϡ
`�d�o�SnFi��믲ڮ����
%@���K��`e�' i؈���?�f�]�U,���Xy
-M��1�~��[N��j���$��w���|LO*˪oTb\~��(��#-U�3(�Lv�`
fq`	q��Q�R�
-�޾�1
'*M�~�\�DV��!�X	EqF����s#*�����	��4
��u��{�)�خ��s�#5lY�0�P���=Q
�pp;��"�K?���2�� ��b�
=a�K����j��r�w�
-�^�Yj��:?< �"I�U��;��.��
-�ng=\�N�a�f���h
-��t:3ηv�:a���nO���ju�F��|f����ek�}]�
���TJ�-������\C�Yy{�������hU��
4��@�!
��Z�*��U�,�n,_Au���4Ҏ�`h=|krX�JN���"�.Y{��}l���)�X�v�jNr�e����0�Nn �7��Uj��w^Ԑ~O
�Q|>����C�ʟ;�^`&2���Ƒ
�X��ɓ�	�}���P�
3�Ys�G˻5z//m1����g׎�Vr���c�R��7B�Fvt�v�ʞ���'�%KVnL{?�Џnb���
��7
�3|�J���!�'�o'�H%���cK�ߏ𪦼���L�F������ԏ�
��
|8X/�����~�OP'�ѯ7?���6ט�,M�������'�W�B��8[L\�<7�(ՙҀE
�d`[���js���!Iendstream
+x�}VMs�6��Whz"gL 	��-�$i{ډ�vڦ��,�iI%)�Ig�ۻ�]�T�� � �
o�.�����R�B)Q�Xn�^�2�����e��=�]��h������q��~��\��z�˙
�H���hb��&NRS�
+�5�ͪ��ѹm
xۉ�Xdt[y�9�x=���zn:��[콪E�
�:�Y8��:�޼�%^�v��18���W�.�OdO�,?���-.@�qb@���i�vCNj:S�9E8:�T&��"r��"��j
H���Q\�B[h��,P��_�I���R����_1�k����<��J6z�J����aH
)
XV�w���G�f0���h]�j�JzF�9~ �Oɦ,�U��I5}����ሻqʳB���m�ग��
Vez��̊2�~�y7Vc;�m
UHMݢ9�X�<�����p_�Td:cS�����d"���
��
<C��R�4�t�h�-0<�����pN� �geĞ<{w�4rD
�DV�@�%R��3Җ&�
�̰��M��7Emgg�6�0|vb5��@|��Tǵ�4�G0%�eS���+�M�
+ά
�Xq��S\h�rj�(<U�ɽ���=A�ցR����j*��+]��	�鐙�1�8ގ{
+R���7?2��0�x<??
_�޽�����&?;>��/~v�ĉ��r�و��ʓºc�G�h�zH5u�~���m�y%riO;u�ԁ�ڨ�c�Of�+����7�3E^��
�z��
�[u��ih���?L{�
+��k���W��ݹ�Gi����v���

b������DP���	0�"=�sq�
T
+�O�D[�Q�,u3NlӶ�~��.5X,u"5y��

)��ep�3�����<�Bْ�*�?�C�[a�4����{qe� �����=lg@&Ri��p䣌\s�1��C���X���Ԧ�	7�L�W���I6$��#��Æ0
}��5����4<�v��H�Ô�3�ƶ�S{'
޴�z�k��O
+��@
�S0�ֿo��{3�U����df/
7�qv�?�?w�����
k��x�{Z����髁Yz������M2e����
�u��5 r�jy�/_�endstream
 endobj
-2842 0 obj <<
+3093 0 obj <<
 /Type /Page
-/Contents 2843 0 R
-/Resources 2841 0 R
+/Contents 3094 0 R
+/Resources 3092 0 R
 /MediaBox [0 0 612 792]
-/Parent 2840 0 R
-/Annots [ 2846 0 R ]
+/Parent 3070 0 R
+/Annots [ 3097 0 R ]
 >> endobj
-2846 0 obj <<
+3097 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [283.398 589.738 478.28 603.686]
+/Rect [283.063 589.749 477.677 603.583]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.stat.auckland.ac.nz/~yee)>>
 >> endobj
-2844 0 obj <<
-/D [2842 0 R /XYZ 72 720 null]
+3095 0 obj <<
+/D [3093 0 R /XYZ 72 720 null]
 >> endobj
-2845 0 obj <<
-/D [2842 0 R /XYZ 72 700.324 null]
+3096 0 obj <<
+/D [3093 0 R /XYZ 72 700.334 null]
 >> endobj
-2841 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
+3092 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2849 0 obj <<
-/Length 2077      
+3100 0 obj <<
+/Length 2019      
 /Filter /FlateDecode
 >>
 stream
-xڭX[�۸~ϯ,PTF�\Qw-��E�n���	Т�,�
"��J��8����hI�23)���C�\�s��}���$�ҩ
-t|u��J���ϔ���������������۷�?!NBe��O����~6v�]�)N~{�;�H�X�$��߭�Q�y��0�N�P{����Y��4�~�`P����/��pI{�ĉv���lvDԯ�ޫ��j
h��.��ۆ
`G�11���A������
o�ޝ|��]e��Ʊ�
��Ӱ.�վ�pM�[dd�]v�����ǎ'*s ��3Me\�s�Wq�x�-6�陙�1L�v��LŃ���I�:�A+�����ۑ(�,j�Z�Y��ޙ�JSo�F��i�x��'
;ܙ�-�iv(w���n}$F���I��+G�$X��
'�>�8���녇
��6v_
 �TD�ేC�:H@
����lz������P'0� r�WU
��8����a���8���{���'f��G�
w
�k����@0lm�X �7Xd�]C6��Fk�L?ܑ��ԓ�zH�k�^~gʁ�f%��
��
pU��NYy�N
�$	�8���: �R��3XNG�'�v
x�G��3�>�wԨ�~���i~�i���
�k�@Wl+ē�'���<�<߬HxoE6#
��t��
-�G/h[�z��P=
-��?�@��IQ0�
�?u�݋�Pi�=�;�:
gJx���/�4��_W!&�`�J
����9
��Y#";��
�7�9��(Qy��eiC�V�r��u���0(b���b��h%����8;�tC��q��u�|'BeS�r�	��]����hA~�J�Xd٠%���jA����$�>4� ���xwH3�bA at J~5/�`4�p�.�tpJ��,�% H
���*�-��@)z�_c����dZ���(S�NEuًU�/h���A	
�j�f�!�9��)��۸9v���@�MR�H���yC
~��@B���\J{כ�b"Jh�4�4�$^�$���P@"�N�P�B�ϡ )+�|罹>񊹧��� J�*�—ɒ
-��(rTu��x��]���:-� _�l��AJ�-nň�Q

F\��dz�pz�a)�ˣ�2.�`�,V~�g�T�玌����1�`P�{�[(�ܚ�R �d�
�.��t�	�*i*СJ�h�N΅��s�E��jF�k�Kb=���$�w�Joo(�$�H*q^
���Ǎ�� �&B��_�~8�怊ғ
-�:@��D#8�KY-Lr����zA4�
��5*w�ݏ
�S\uj�����_�h��,��;�������!Sp��� �*C!��e��8g,�����!/uG&�-����i-,Z
-<�y�y9��c��aa��K��ʟu�~��
$j��;�He����������7K9�W�+E��2  9�۟��o�s�ka��0�Vp*�1[�(�b�Uk��$!e#bLr'&�<����+��]��K�V%mn��Q����l����Ц�-�ܣ�����!
-�1A�}�a�ɹ�	3M�)�O���L#�������?B�.b@��*���� J>� ���k;nBG�␇uv�+�Vq�g��&q*.�ld�jҪ�Q<�j�	�o�X�򨞺��^P>�=�*��44�C��9 at N/�+Փ8=����T�㴤vrn
��??0�qS�eQ㡓��2�
&����	
p
�� .�M��#ߐ^P5�|�K�IQ��;f\�‚Cb�d-
v��.ϖ���NJ˼Pa��+B n���<���rӁ
-��I�
-?�
-Ϛ:1
��3�LR����CZ�a��
X�5�S�a#�x�H<i8
i㜟\e~��\
W�$������=�{���@7��x�S�s)�
��e�E$�є�Lq����5�����Q;��K���|_5�n���I��-y{ ��pbٶ�a��%~�
�h ��<?o�7� �'1r
��MnD����q�N�I<���i
)g�s�s���r����x +`��5�i!Sٸ8�`뚿f����8��RQ�M!
���]��b�EH˛�<
-�:�I�wK��
�_�<�O�P�g��B�sd�Won_�
-eіendstream
+xڭY��D���b��H��xf<>*@j��(�v+�(N�Qw7K�����o�ƞq&�c������ţo^(���"�ʞ],�
+}V�e�f0��9Rc5��$�N�]�gt��M���,�+�u�
��³�g#Pp\�� OO+*��Ij��|<�dV���I��(�4� F`��.�ѯ�w��o3���|j��/F����B�&H��ġ�h�T�$
��"zuD&�%r'"����Wt�m� �*%�?�]V�h����%/�EK%Sړ����+	���C�i��<�uIn	-��:�\
U�7
�nl-ѷ��=%zIn�ɭ
�>��& [-���ج� ��)�C
+�Ȓ,�I��xV
��A��	�a<1�&�k$[���#�5<�83��t�$���:�J����
��&�>gc]8'|�6
�v��yGm�n4���O���!P8q%�6"Ză�=�m�(�|��R�7eȺ,Fm- at o�^׼�S/1�=���M'L��7SQ]:z1.;12z9��;>ԭ �\�,�ԍ>tbs�#P�!G�h�S+q�����
Qqn�
���*@�m�*��7�2��
~T��8��iT��!�o
�Q
�^8�i
��������A����ߒ�u;�R4�.�)���
���w��>��g��s
^	�y������zZ�PtN
��~%��
Ĉ�hQ�sP8����lK���(T�|��9w�����g�m=A�͗C���d�l��7�/gGͮ x{��'(H�Y�VKʧ8:kn���
�K�8\��%�
������h.,�y�Q�����W^�r�p�
��_9�9���
o
��H-
J]%�jx���\n��*�I��Ԋ��]"�ɍ�&&OJ(I�J�Nx�.�N9�
�#�^��+<��٫g�ƍ���4�-x���]i��j����V�"�Z��s�m(�>֞S��?d�}�
���-2QHu�B�vfbc��" �-?�
N4.-����
3��ūD�'�
Q��tC�3��a�*

�Y�Ȑ�fP��
�zvd
]ּ�� .�
W��UO�qwr-�|`��
3k��BW���I��'R�!�yW�b��9;Z��{5d�� �A,�� ��w&�`>��W���K�$�� �
��6ϳ#Ĭ���ʲcݯL�n��
T�D~}L�E�;��~��4M]�a�R$۬D��y�^+���/��pt/`qʸ�;�/ϻ�m��h�
�x
����=�M�\�t͝��f�i.��U������ꢝ�X�>C� ����P�o�ML��7��U���J��I���$"1e���~rV#�Cʇ���Rʟ�֘��}ױog�T
+A|[�ڵ�S;{�.r��Q�^~���|����������#���
~'5�ZP����~�Ye��lw�t
�*FBn�̺���
G�~���籊.K�
e/�Q'�u\] �������s+�2�Լ�'����؞k)1��G'��������oC¼=�;��Jt^���.x����Έ�����y��.�!�:
0�
/
���w��
P
�uw��n+i�v��a]�A}�|á5^J��p�
;Þ.���̡��עvG�#Rw�8�D*+)OL��
�p��w	�of��
��'�����Ի1�%��x��@V���~-�9����Uů*q�O�*L�zG1��/Z�Rd�ܡ⁚��
m�c�r:����qCp�XH�p�<O��
+o�v]����U�p��ST�%2��s�
+�g|�׼KU�&�
/Ч��/<�q�R�R·)�!���NU}�F�]KI�KIx(�j��U�1`�y�
.<;�
}
��w�kO�7<�
�F
?q�/�۾u5���H�J�X�%�!�X����W=0?ݹ��F/��$M��j����eVA�1Z�j�+kܟo�Pvka�^s���mǖ�Rl�׵�W@���
�X`ɭ�)@�JZ�U�Y�k;��1S;K#����x��٣��z&K��/т{���D���,�
p����� �1��+t�#�d�M]*=S�M�
����6g�`�-�����ţ� ��Zendstream
 endobj
-2848 0 obj <<
+3099 0 obj <<
 /Type /Page
-/Contents 2849 0 R
-/Resources 2847 0 R
+/Contents 3100 0 R
+/Resources 3098 0 R
 /MediaBox [0 0 612 792]
-/Parent 2840 0 R
-/Annots [ 2851 0 R ]
+/Parent 3070 0 R
+/Annots [ 3102 0 R ]
 >> endobj
-2851 0 obj <<
+3102 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [209.72 613.184 238.376 625.803]
+/Rect [173.423 613.205 202.039 625.748]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.26) >>
+/A << /S /GoTo /D (section.12.19) >>
 >> endobj
-2850 0 obj <<
-/D [2848 0 R /XYZ 72 720 null]
+3101 0 obj <<
+/D [3099 0 R /XYZ 72 720 null]
 >> endobj
-434 0 obj <<
-/D [2848 0 R /XYZ 72 720 null]
+430 0 obj <<
+/D [3099 0 R /XYZ 72 720 null]
 >> endobj
-2852 0 obj <<
-/D [2848 0 R /XYZ 72 575.284 null]
+3103 0 obj <<
+/D [3099 0 R /XYZ 72 575.337 null]
 >> endobj
-2853 0 obj <<
-/D [2848 0 R /XYZ 72 493.051 null]
+3104 0 obj <<
+/D [3099 0 R /XYZ 72 493.136 null]
 >> endobj
-2847 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3098 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2856 0 obj <<
-/Length 2146      
+3107 0 obj <<
+/Length 2105      
 /Filter /FlateDecode
 >>
 stream
-x��XK��F��W
9PX��n�����y,�K0A��{��Ę"6���a{��H���i����]]]�ի�ݽ��wiv��������&��8�I��""��y�
-V���7-
&
i��M�k��:���~Dvś�:
-c����Jy�j
�fզ6u��i�ӷ�P
�]��x{þʦ[�u�U�lVk��U�"�@;
�e]U�������0��;4
���,���m��e}��5.u���X�ȏ��o��4�i�"�Ĩ�� �2��@d�X����"|/���
g�rW2$�:/��
-9�l��>iVޏ��V��r\"�ϫ�tќ*R���i1�������a��0W����r��
�:U+M�FM#3{LBkSL@�3�Hlk�Ck?L�KǑw�X�ն85��1�"��
�
���r�Z0
L_�iG}`a��h6P�Vw$�C�Nb�'VAƬ~e�5�N8�L��v��h�P�������}��f�$Ղ�%���Htؑ~���4�������|UKnJ�
e���8��Mb}�nAW$� �Q�N��"_�7�P�*��q+�
�12��U�Z��졵��)��l����w���8#>l�z�(sB1 �&����X����Jc�����ne�F�u����2$h[=��)��?ʲ�6c��D_I7�D+��a�g��m떠�I.'�M�(?
�����g?cȈ@�kg�S�8����d�JG��? J��2.@/N�T����/z��&~��݁�e�%�ν��z$�tmy�Xy٠l��aK>X�f��3[�
-�h��e[2��e
�����	r�q�i��{�iJT)R"�����)q�<��S��o	�l?<�ԝ��(��d��Yh9}�_���4�xt$D���ǧ����91��
8��0��g,<�3|b5
-��h;3 at m:d�9MY48.-v��1۳yj���������l
��OG���O�@ΡA��^��1E��;wi8
-4|L��>ʊ
�"��R��^R3a��ܟ�
�����3�{�fU�Y���T�r���Ԧ�k(�-�$��/#���P��s0&y&`������"�s���vR�I�b;��B�8�b�VA��*�
 �s�~��
In
8�a�lf0b�U�>'$�X
��'$"�
-v����d+�W
-�x*��OBt�������8B� �
k?��S
��
[��F,_��+�<L��t�j�f9��,�)P����8d�q(�A���}%o$���c=
9Mr
�y�⧔D�v��,y�W�a������yQ c4���T��9�u[4B�02��u�
m��+~�`S��c�Ie�K�l-u8
-~\�ebN�6Du���@2
-cN\��3�]D�������
ʡ
�8�)+�e���\�����s4�-���&�s; �'�p�i1.*
-a��������b�'
R�<�J�DZBm���I�
-���A�P���ϒ�	&�7kؕ�Ax���
�2p��Q��7���9
ִW�YDH�͈���C�̕@�t%f������2R"^�E��2r
�brU��-�B[�lm�^)�}£{Q�h��#�K�{~�J���bK)k(�}FϽ���.䚶�\��ʹ�p��x((��O��61�gR�X�\`:��j?��{
}+ at X�H�ٔ{*(1-D��OW\
��s͉��	#.��
-P��I����g�~a�A�$v6��8�g�ޖ�0�dIS��`x`���L���Sfh(�OM>RVK뿠��4���
�[pؒ��
Zý^8.'�%��=��_~�:�еl�u�~�s���gb������+��Ƀ�����AC�`+Q
���{v~�C���Y|qgO�@�)�F����0H�ˇ(@�u+˽w.|DrH �$P��<�W�o9pAW�h��*���I�}85��,�&��J��/���a+1�5�F*P
�1Ȍ�{� G�8Д�\
�w���B�ӆ�{b��y��$5���}�Q����V<V��_J�ɘr�J9ŧ���C
2��4'���'v
�ȕ-�\g��’��&��u#��ߦ�����]Y�k3����-<���0�\�_
fl�2�Ħ����_�|�������;�����_)�c_kE�˨��|�Nh9�}���՟)3!endstream
+x���n���>_a9H�!�~�I6f��c��,��L�D����D�=;s�oߪ��f5�<X {��.V����wW���We�
��,/��u���*꼰 ��{�A�b���� S;�	wUQ^��n���%9�sX{�7���b�P��߁�3��n���
O���c��
1�o)���3�\��v��C�
@�~�_��׀e�E�ณ)�����

L��AB����EY��SO��ƺ�<�E�J�ȼ�2esk
iKh �	�r�J>v3D
����I�Gz�\{%
�.$��h'��(O�5��+O�[{Fz��pƪY��i�<���O˲\8���I�?��\O�A��#U�WlB�$�M"�?X|F
;{����q絎k�&.\bo�l��x���霁{�:���oq^�����
+rv��`�o���RWd� �
�u2�:6,�˨E]FmitL
1��#�d�ɵ+�js��%�jw�z�w�0
Ɍ2 Y(|H�O���
�#�v�����+s�XI^�^}�7{�����@��h<�EM>���)~O�J� �#Z��� ��(�@�")+^����5�gF��T��˸�(p��|n�����p�Z��G�c�Fe{Z��6G�p*m8��g
x�������B�{�a�
\S`xR>�����NԂ	4���f���
���I��fy�'�9���-���o��sϿp�`��h��	�t*7Mȩ_�qޱ�l�3Fg˼j�`s��u*qы�K�୰KG�
�f/Ҕ��U^�`�

�@�� ��
����H#�6&���:�͆�Z?
UMKa�?2�O� �?�4�N�s��H�����V�p�����
��jڽa�%嗪����@Y�_~ݰ�?��'��K5�O�
?>C�#�k�B�;��1|
m>�5�Yݗ~�!ikk?a6j)0��J-���a+�� [...]
+EL�ERk٢��i��97�k�4��t@���x/a�U�Z��-cc&7j��/و�İ���8
R�
�m'��@�����suЄ�d�
+TVT�|�	�?V�l1�#��@��:��{���� }t��sY��v�y�oYWgʲ���U�ۄ����`D��.h*}�
��a	Q�!���1*! &H
hB��j�^�j�/\
����&�e�|�����?
��-���0�i��d��û\���lڇ6-7Z�k͸���P�n�C/�t����5yѸD��s?�*h����N��$Q��y �Qo�ʹn����C����C��h�r/�F�:4��t�.��h1��KlI�O��E��.��'�6��dЁ�둎t<R ��^Xa�g���w���$�� �&N3����(@��NB�� 1��/�-~���zN*����p.w�#A���l��v4�ϩq?[
6����3��_��ܤ��
��3-�ݜ��	
s�=4��f��}�}��`z
��&Fr���ZlC���t��N
�q"� ʤ�O��9���h6bx�}c�>�
Gz���y����m?u9+���+|XL��Fg�V������h�d�
M&V�,	"���
*T�}ɏ$��*�q�1SfXQ�C�|�а?�
���ĠU#��wة���.D�{7�:�
+J�jL�$8�?�,�o�HT�S��~�
��PA3����|N~�!;-���
+�z0�@�
x�:�@q��/��G��j�G��0yU��G�/�(L�@A\g�4g�80�<��
+�yFL?V*U���e�4y�S[�a�+��$��p���8�c�r7��}�u�kz 
x�h���?����.~���]�����?x����*��k�bJ��gi�Ԙ��[l�
X-�;J��Tg����V�\G��A�J�X��b�/`sڌ��u��s|��)����d�7�3�K�"��e�u�ϸ71�v�z
'4����,}�[J���OFɫ&�kk�	��(���DE|
+�
+���R�1f��^��]��	���/��D�#��F�?��N|w�֕�}���M?eq�'ʷo0��f�$bܵ�D���j�K����\�<�Fy�v�G�Y3��ꐊ���{/!Č{��:x�H�2o��"��k�L��~1^��z�+?׬�endstream
 endobj
-2855 0 obj <<
+3106 0 obj <<
 /Type /Page
-/Contents 2856 0 R
-/Resources 2854 0 R
+/Contents 3107 0 R
+/Resources 3105 0 R
 /MediaBox [0 0 612 792]
-/Parent 2840 0 R
+/Parent 3112 0 R
 >> endobj
-2857 0 obj <<
-/D [2855 0 R /XYZ 72 720 null]
+3108 0 obj <<
+/D [3106 0 R /XYZ 72 720 null]
 >> endobj
-2858 0 obj <<
-/D [2855 0 R /XYZ 72 599.078 null]
+3109 0 obj <<
+/D [3106 0 R /XYZ 72 599.23 null]
 >> endobj
-2859 0 obj <<
-/D [2855 0 R /XYZ 72 239.884 null]
+3110 0 obj <<
+/D [3106 0 R /XYZ 72 240.41 null]
 >> endobj
-2860 0 obj <<
-/D [2855 0 R /XYZ 72 244.865 null]
+3111 0 obj <<
+/D [3106 0 R /XYZ 72 245.375 null]
 >> endobj
-2854 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F79 926 0 R >>
+3105 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2863 0 obj <<
-/Length 1736      
+3115 0 obj <<
+/Length 1874      
 /Filter /FlateDecode
 >>
 stream
-xڵXKs�6��Wh29H3�I�I�C�d�����=t�
h
-��P�KR��_��H�
;M{0	
`�~���^���L����b=\0��3�S�#�Z�9Ә���B�7����<�ܻnV�1+�ce�K��M�2�B�y��oq<�����ҼZ�u���;�G���RfLet[��U���8|A�q�‘�����x��x��aN�u�K
�����8ĥ��
B�?<��:w��_a���g��LĊ�,�-EĢ(!K7�(��������v��N�9�qX�dוx��3k4Ɛ�N�瓛��Ќ���(�0�칷
7��8�x�
ɀ��\&�_�b4R�7[����V>�k<EMq�Y`ԛ��
-�
z~@�`O�'��w;���pF��+
��s��;�>
-��E[t�]Q
��A�����=
��oеktyaqO�Km�{N�W4x�C��3<�
-���;���-XQ� ��(h0a�G�hq?����v���5q�o����d+��V�z��L��9\��hyW����ќ��9$�?D������ҟ�# n
-�M��aL'q<���V�Q:
1EE)�Or�ݡF{��蠿�d5��P���nD�t at l
�Α
��Ȁ�kz݂�
���m���W{�0O���
-�F%R�	��ሀ���3�xI8k�����dM{�
�=��+�ݩ�=c
&4w8E����
7��c��eq:�A��2J�Qd�6�Ⱦ�M�����B
_��
 ē�Lں���}�(�S_�3PNDxB�\\���;�5n-˫��F��=��j�@X��4(#��k�T_�W��di�:�z�lU�f�󨊫��q(���
�51�,jr��nM��@�k�D�q����
ꔣ����S
�M1O��ow�zv����ۭ%���J���+�A��>��>��\�d4��@W��f�
��s��<��L�$S�����{/w��N����
�Vy�Gh�
]Qַ_E�>C�1��
���K�8@~+lq�f��<
i��5���o"
-9!�D���q�~&�B����dA����l$#9��,DZ8�X�4�4.'�%I0^�Dl�
���o��GN(o�~L��7�2�]b�͆�l��n����3ڱ��5�,�n�z5
�W�i��o�f+�X����Q�E\�u�`�
��.�D���-���|[�'�x�z�b�a5A萕!�8����c@���J��st����1"e��^�5���+|%���k7�>T�]�<����Z��Z@�JI�R
-
8
F�������\�Ed�x"�H
�X���6��HQ�g��5�*Su�{ =�ڶ�Ŷh�G�o����A�+��B� ������o*�cWE�=�G;fہ��B�H�e񽔋���.@�"����%��$/��%
S3�E_��R�L�� Rg)�	�a� ��#Ze*yD+�Z��k���Û%�X�K�����z0�B߰��$�>�"� �^����D7
�*�d�ԃ�]���u@���O���e651��*���X3d0��O�׹�'40���$i�@G<:j
��v�8��$
�:&�Ԡ6��fC��@�X槩��M���%)����b�!
� �E��Q�__��2�!�$�d�J����jc�aDi%���Dۘ�t�'�P�
gp�HQ:�8N��"��2��xdZ�7�����5���{�*/�����s��#7?T��'��k
-�H�d��m�����}b&�����a�
dendstream
+x��YKs�6��Wh29HS
��$��=�Mf�i{h�C��A�)����(�q~}����M<�M
+\�{�]�?�>{�N��HVf��t1\0�g���5,]�5�~2ͤ71��u
�
�
\5\7��"zg����o�q�
��s��k��x�i�ㅈ���]�U�s����������p��۰yEğ�B���yP�9)R+/I��^=G�����h*4�:G~7��\��~E�����r^�UE�x
4��W�	or��U�&�����
��]`��70��;YFI�I0�4�ǥ�d>���c���T�l� I�y�*
�
�Tk$������s�q��i��
Y�X��/=��e˰�j|J���wռrvu��V�u�$Gבӭ�����eH�/���pG"_DY
�����֯������L�E�ؚ/�Q䕇��r
q��a�";2Ίp��j���"
+��I���q��q"�s�3<��
�F�
`=���#��J&Yn_WT
�73r�m@ �m�-
�=�jb�
���M
b��[0B��o�
����?�|�q`�a
9����bK�a˚�J������[�;|� �
� �"���%$k���#�\�L�)�aL�>U�2�
,�*5�Z���$�'���@�#�G>��N�yGz���� �V{k�Y!�*;��b�M��D|GKk{\���θP.�\[j�F/;2�m��D���qNJ�,s
ɵK[��
�*�J��O��c�=�,zy8�R�ܒ.7��
��ި�k��ڔF�����z耔yX���A(t�������a������c?�`���v��}�&0�mW	�f�	Ϊ�ʇ� �8��
�
ф:j ���-�>�3x{C�֡��M�{�Rɦ�K���
+'�Ō*t���mkS���É��%>E�"�
+����+�����Lq���g)�̻ޏ���q��=O�����B��e�GU�&2��~�������9E���/nhD2%#2ə��ҵ�?
A!G�aY�rV��tܜ�:!*g��li�c��b��Y�.܋y{:���N
�]�!ns�Mu���A��J~��
�T��݅��۔PЅ�-��B����t�x����ڸřoV�7�]؛�
�1�L�Z at Ji͙(KR�CBi���=d�,��H����'���0FA���V��k�x������|�3�0Gf��gR�3x*� O��|�;ɮ�G�ln&ϗ�fSϡ���rsu����z��%��ez�!!1�y�1K�ќ�H>��C#�
�
�4�)q��n,��<x��s�(U��d9�{埵�_���H3��q�s5����a*�,��zPJ���	4)u�2;�('s,��Z�*ߣ��Z�R�Z�������:�*�`�M������c�����$-Y���ϸ����*���eʈb_'t���G�>ҭ\���P [...]
�౸�]������
���_o�
ȿBȶ
�
(�1nt��A)f�nyp*����Ό�9��z�8�PAԥN��˽y�4(�U��
�^��	hh
J��s���1�ȷ���������N�	�T�T�s���2���\�������&�Lq9�i>Y!�rIJ��Ϣ�(h�9]�p�v_�����J�V�Y��U�a�qL����>�V�I
+��>�2s������,�y��{
�XĻ���U�䖎���ev�!�H��[��|j �
[r��S�N�I2�Sa�<*�㥍\b�+��
�C���d9t�8jqð0�Bh0�u�<�gC���:IWy�^����}�N&6�� ŧ*g���㫁
A����g�S���endstream
 endobj
-2862 0 obj <<
+3114 0 obj <<
 /Type /Page
-/Contents 2863 0 R
-/Resources 2861 0 R
+/Contents 3115 0 R
+/Resources 3113 0 R
 /MediaBox [0 0 612 792]
-/Parent 2840 0 R
+/Parent 3112 0 R
 >> endobj
-2864 0 obj <<
-/D [2862 0 R /XYZ 72 720 null]
+3116 0 obj <<
+/D [3114 0 R /XYZ 72 720 null]
 >> endobj
-2865 0 obj <<
-/D [2862 0 R /XYZ 72 417.468 null]
+3117 0 obj <<
+/D [3114 0 R /XYZ 72 467.284 null]
 >> endobj
-2866 0 obj <<
-/D [2862 0 R /XYZ 72 241.544 null]
+3118 0 obj <<
+/D [3114 0 R /XYZ 72 284.623 null]
 >> endobj
-2861 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F54 1447 0 R /F32 668 0 R /F48 554 0 R >>
+3113 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F75 1442 0 R /F35 663 0 R /F69 550 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2869 0 obj <<
-/Length 2299      
+3121 0 obj <<
+/Length 2652      
 /Filter /FlateDecode
 >>
 stream
-x��ZK�۸��W�U�B�~��ślU\���
���AjD[�Y�3���v 	J�cf�ݤ*�!)�@�_ݘ77/���#ƈSjt�
1��jd�%T�O�_�O��.���y
c]2V�#���B�1��
qG(B�
M1N�Q�4钖H>�,wuf-��TnG������;S��4 ^�j<a�/��Ŵ�W�Ƿ���!V�8Ǵ
��
O��E��n�r�ڭ�h��i=�Q��)�}�jV-w0f�ލ�������|��7��j�o��w�]M���:7�H�a�uf:
s��"}�����Kg�dtw�]�1h֪��5х�mvR����@_\��"31�tL
9����B��J���1����=p�f�-E)��1�Ntüv)ܦr���>s����M�wa ��	�0�1�����u�
\�F��Mgպj��_�	v��޿��`V`�<�Ogl.
Ѳ
�_�4�aW<U@���nS���O�A�f�s����ݡ,_2�8N��gF2�W!
A.k��9
��2���=U4��T��mQ~l��:��s[Q �}8(6�X!6��2zbRe�S �����C�z�xO�>Z	t)�%m	"l�-�ٜ@��I�^
-�3*b�P���"%�!pP
ɓ���
�y��C���5�#.��'�������j�D���9��er����DP歌��[z�c
�+��g�y��A��kv�k�ڇk`p3�� ]�_O���9����0@��f�M�(��w�X�o��, y:돻z�8��4+>�
-_�RJ8w��)��
�����u��x�|+ĭl�1�1� �J
D�$���
qv
m�sd�m�W$��a�_�M���a}E����6w��-�Mv

:�]
-��"9|@k�۰�>�r�T�����۫�+�f��_y>�Z���xZ��:.���_9��	_�B�s&S����/���
�
���������m�AT6!u �]�"Y
-w-�|�� %J�.P~�[O����������e1�Q9���Xs,Q�t} gu��6r3tP���U�wx~�}s�h�~L��Gt1�=����b +����!"%,���v��4�l����f���U�
x�t�bΔD�unjx:*hK�.��~�a���d�Éf-������t}]�
,����Pѥ�Ř@s��܀�J�J	�pvD�$\m�� $T�)�����Cw3��,
� �j���D����s�H�zv�;��-
-
��B�F�ѕ�z̥J �fI�Egs2'��p�ux��׍�>�p�'�vH��I˔����ީ3@��L���!��G)�
�Z�͑~��:�
�dӏ��c&���]�^�<�`=���1!&yW��j_�"2 
�:�
���ݖ��s�< ��e_��B��Uh�r2߅O{3t��ɦ�>{ˊ���

��f�D ą���=�FX�痕��Q�Hp��nH�?��&�ػB����Q�?�ʢӅ3o��d�̻�G�pT_=:�RG�n3�o1���bj
#���C�q��!��"ɼX-��>��Y
��>n�
��|����@�~�&$�E��m��6A#�*U���z7Ce�Q�>艐G��&�YP)Zm�I�m�b+
-�
��q�U����_�Q�7���?cζg�5�qM{F=�=����
{�� �".�
��j��k����׋s�*0�Se|���y�
-����gvd�ޤ�~v�ӂ�d;���ؙ�,ĭ�(�hP��k/t]��C�^�S���><f�)&Q.~�=SbxZ�a��K/�ʟ���Ü�	"���O��u�e��$kF
�������-ռ`�2F��8�O�YL��;��EK�Bf�w�0�Tv�[E���&/d����2��D��[i�=�Z3�"��Ӵ'
�����c�O´MZ��gd��k��+o���M�f�2��
�h���M���o����%��3�<!vF?��얟�7��۳��*�O�·�?c�xl�
��
>U��.L�!���}R�	2��>nqQ�� ��1ۓ�RGW�?;&���b«d�cH���|���MC;�Z��M_��

$���@�L��؟�����>rD
-A�)M?����R�q����
�2O�~jQ���Cv%�>�; �|�?�t���#��ө��^�a��+Q��ʳ�#��
��C�
��V�2=j�x�M�
X�����GCR]�?� ����N`�q�KkOG�����O�"s��<�%�ˆP��Ϲ�d��["�����$QOG��I�]ؼ>����F��Ȱ�bP�Z��DK�d��\�[
-
��7/~�Hc�endstream
+x��[˒۶��+��B��B�~ĕ�s㪸*�$wI9^h$ʞd43�4�����"$%�g��L�G��}���~~5��5!�Q]m+�	�RT
+k�9<ڼ�_�]�y�X2*�p���=���
+��݆�qA���m/\����
j;����
��,^_����� � Nx�����V
+e�K�
��.�5��M��(D�ݴ���l�A�[/�ѭ�ݮWNzX웰D+�ǂt�"JI����Vx��e
�c��Z#*t��V�^���a�K:PK�4@#L|]��"N��jD�� +Y,5c0����	
X �Hh�td��������Ldۨ0��mh�N�I3���@��Mi�!�Sm�Ŗ��]ƅ��]l3�"���)�4aHkޓL�5�UhPZ8�8E�tJ��"
;|�z��OL%bc���fqq`�T�f������-�D��W�"�E��3��ea*T�d��
>�Hb�Ƙ'[.:^��-��ʬ�:렚�5f�Du�do����"�'w��Gt�q�
/j�q�
�1o�?&
�
�C{>�>�_�^���@?D@�% �ϝ��Mx��C�€���8�!������FQ��=ᣱIWm�UP��Ǣ?B�gqE��:Db�ȏ
�2�Qa�I��Rd ���
����B�#fȝg�f���c�[
o� �������=��]}w,�#m"H�9Xě̜��ү=(����Bf��'�_6A���(��B �����|�$� 8��6�Y	_(l�b_
+�3d$=E�1�ą��6~�8ɜ�ǍZ~Oqpھl#�#��Q2
������ �<$`s��N��܌E��}� ��#b�>C�

+``��j,�}��Kl}���q�	/�#k"���p�)qR �n��~���¥����;<x
�d�9��$ ���O�$n�����e�"b� 1 ~�%�T)i��b��
,�$^�ΗwkѦ�I��,�$��+���3�1Y���t�Ą8�9�k������a��~G�{l��U���=R,��Q=�S0Gaer��ʔ�B`F�$�W�>S)t�fS�4�[>UV	��*0-��)��a��矮��1P����nQVӲ!�M8I3�6iڎWpa�0
+�`؍I�
�F� �F��"��݀�󞞁������S�Z2o6H��~cZ����.9
1=�G�
R�JE)���_�3E
 �|&,ț���6�B�j�Z.!J�Q&�gY@�-/%<sA�RK��(�~�4���`
��|o� �ߥm�=������AH��P�F.��
\�t~Yo��F;��a�/��
�2�	��??ǻ��/�Tv�b�S4ϸP���%`��n�i m��t3v^���Χ��?�շ�C���0m
7
���s҃>
�!\Z�/s�k����;H��}7�� r��
+D
M�8�[	�����N��qj4
G>S:��B�c$�pǦsM�S���?�

�����h�*��t�g��߁�,
+A��[)�It��Qtjr82,��}L����<��=6��Wv���o��J8����i��R��|�|#o�����H]#��hp�
��,�CLۈ���¾���o�
m"m����"��	,��I�C�29D�m9�‹���=�_ړ�d|e"
}Le�c���ʍ�8(���́����iڦ�0L�P��A\�C���u��%q���Q���I]v�鄋�
=m�kIu)-O8����:N�������OT�7I.�
 #���xO���O��&Bͥ�h�v���?
�͸q\�0�$S�?�q�@,E����o���7�1��z���!O,�n��lI�D{3)��xV�It\E�c�8��.s�
|	{N�F����=\ @
�*ЋND�Z��?ڢ�~����
�Ɉ���,���𛶢7U���Ǟ�]�r�B���'����Z~O�rB�4�m��ӽ��$��`��0st�8r���S<ۄI���b�ڏq����yP�)�L�����>�(W��lHB����Aq
+��2�d�0�K��J�l��
#g�q�R�	#�Y�3^�7�0�<�'I�[߶|fI�ШGܗ_K�MF5��T��֮Bj+�-�
�1�ZG��%e<עv�m
�B?�$���>�<�p�R�0�l�MvsD�
��S�0���@�7	�z�Z�v����ח��
D���*�[��۫�%"�"��H	P4	+g�z7{7{�W��^�0
Qu�
�1��T��������������q�e2�s��f��
f���HvW���k9�۲
��~\E˺�J at W�Y���
���5���!`��Z������b���K$pK�$Y����
�}Q�X*t*j|A�_l�5)p��)s
ԙo��j�z
>�� x�����|���
p^j+ĺGzsOJI�EGb2:ګbn�6˺� |v�$1y]Ҡtyt
�2��S�Ȁ�[��!�r5��u�}��3橈+
���{��1m!X�Ӌ�j��
ۆ��nZ�!�pJ&��S�z��$
g�Oɖ
HbA�	�&�@�@=B�)���)� H�%ن��a�Z70Br���q#>���=��-����~��{jp�a� �_��,3+�]�^�}�ʇ{�.���d��#P

�*Nf�:ۡ�^� q�U,_�
+�|)���X�|��Z���
S�E�r�
h�iW��tѾ�0������~�endstream
 endobj
-2868 0 obj <<
+3120 0 obj <<
 /Type /Page
-/Contents 2869 0 R
-/Resources 2867 0 R
+/Contents 3121 0 R
+/Resources 3119 0 R
 /MediaBox [0 0 612 792]
-/Parent 2840 0 R
+/Parent 3112 0 R
 >> endobj
-2870 0 obj <<
-/D [2868 0 R /XYZ 72 720 null]
+3122 0 obj <<
+/D [3120 0 R /XYZ 72 720 null]
 >> endobj
-2871 0 obj <<
-/D [2868 0 R /XYZ 72 362.964 null]
+3123 0 obj <<
+/D [3120 0 R /XYZ 72 432.132 null]
 >> endobj
-2867 0 obj <<
-/Font << /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F48 554 0 R /F32 668 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F35 1440 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
+3119 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F35 663 0 R /F75 1442 0 R /F69 550 0 R /F149 920 0 R /F142 743 0 R /F38 1435 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2874 0 obj <<
-/Length 2491      
+3126 0 obj <<
+/Length 2598      
 /Filter /FlateDecode
 >>
 stream
-x��Z[o��~�� }��p�s#�n��h
�h�m�<�es!J^�r.��{.3i�l��X�\��|��?\]|��t����6�Z%��H�܉����M�V�|������T1YOen����q��t�ӛ�f��v!�M���
ޚE&�e{��x��.2U��f�{#ΦL�5<[/`�a�
o�S�[?�|������,yh��
]����_�6�V����zV�|Š.�p�����%Ք[%tn���E�(�
¨��A ���BTR��@��5If���$�FS��j��H
-> �x|G2٠t�7`�F����׵�����E��̸r�Ё��#�V�H���
Z*Q*�S��*�!.~������(%aN&E����䦻���ͻ<Y^���\����
�����u������xT��&���f;�d��T�Tm�+�RT%�r
+��D���DBY=۪
[
�Bm�WI;��*�
-�PI�E�
�)a��2'V�%ˋ�)��X�GG�-ڠ��T-r릤
���,TrX�Rzn��:r�@�R
���U���:������T�m�#�vHMXsp��MF�#�7�T��M at N>��%F�2��
I td�]5�Q�x͏Q�E���D�d3O	P~��Q��b,D>Z��3���ȅ��
-a�B࢐���k�&&J�L�á9�a)JW$�5;��E�~\z�nj��Ja�
ܯ�
E�m�zXX��}�˯�
��Ąd6��q`�	܊�}��`��"U>)͓����&k@��T��v�|�d� �S��kN��I���՗��ib�(��k��
(dz
��
3��
ф�:�L�T_<O�(:�]��N��(>�
�
��f����v��wM�V�a
�(y�Q

����̒>_�i`�H�C��3�x:�[2?�� � R@�C
- $�P���䄇GSX�I	���|��L`is0?�%bK�5ϱ%<�4��[�4�K;����F{~X�b����ę���FP&���U�4a�k#M ���4
%������GV��!MV69,�4ÍP"UN?B���c������s�f����(Ԝ���<���9P�<���$j?���e�R2gC��jB�3-rH Z�8��&B}�T�E�+���
`i~�B\S`9w�)��Ggɚ8��p�g G�[ ��
ਿ�� ���G}p����~}�X��X�!�A˴��O{��~Om=��}Q��^�
-�]�
�H��8�\��T�p�a�S����eu�oy�/��u{˯7ۮCq���b��$[F���������k��n du$/F�0���=܄D�"Y��F��k��X (r髅S/H_�̑�uw�n^xl�b�����y��o.#����1�O*a�D��Ҧ��
M��AQ���B�G
��|x��
��l��/y�;<� ��OAE�k��G\����_�E��M�J=�
�C�”W[� K ��l�M�/
?a�/�!�o�5�\�!�!�]k�HO�Q�
y*�HR�"W!u]O��0�n ����(�t$+��'�[�iY����6
-��uN����g�S�_�$��hֺJW+;~a)j�r;~���d����bP{�������*��<��b�
-������������p��
7>!\��S���f����s(�+��PQ7sm
-8���	-��
h�0�끧v���9(�;�\
F��IG]=�̸��$t컨���B>ޡ�8p�P01��e�T��3(�ҟP�w�䐊f݄T�
\�=4
8�CY�e��Ku,��ۻC]{�QWANy��DžI>B����D�!T̄���v��`
s�ÜI�m�8),~� 0[����~�=�l�,
�
�}�8�b��tB7��ة�NR,\�:�
�
��K}^ ?��$
���|�:�=x����7�e#�
���S�;�x�
�QBA\�/t�K�Ti�aQ)s��BaQ)=�=�AL
0z ����8�݌��WE�����,����p@
d�Xa��Coib��g�B���}��ۮ�U{����%�e�	$�b.��2W�h)hdu �?m�4F�i|�\���=:ҏ������(F/�y�с���S�e�HE����l	^���
-,����7þ߄��iq��x�� |�~'��K���	Z�C�R�43	�UT��$�q�'�f8|��%*׆�#��1�,)�������m��-y��> Ab<��ǢW���E��9�<Q��\}�lvHJ��\����	a�\n�#��
��*cD���{h�G�uW�Y��U��m��
-�$@��~�b�����>��O<���	��h�S����+2;��v�����C�aگ9?Pgi�ߘ1$�V
�
�=��w�^�����vM%Y�
-� �C몦��KW�_
�R���ʅ̃[���X5�k��@-����4��3�$��~��-x���x�0B�`���I�p��*Q�
�p�<��|l§����
endstream
+x��Z[o�6~�_!y�"�wR��@4�讻��$c[�N;�Sk�4Y`{�C������-� [#^��|�"}{����M�i���6�m�ҕ��P	.�,�rFW��^�����PUQ?���U-�\^ܮ���K��p��|��k���{�����s/��~�k��������O�
�4�[��
��
+v�v���i��U
�3�����5��ȶ7n�}`�}K�h/�a�[�P$��D&�Xb�E�����!;{�\���T�"�J� �07�����5���$Rj?���{Ԃ�L �#�W8��q���(y���k�+���
+<
�Z�Մ���.��!�	
w$�p*
&�Ȫ�P�ϻ��l�`:�X�'��Jk��Q�����św��\����il��)ᢩ�@U��[�c�C�U
���;u.�
����\z�n¡
�
i���Ic
�N �sW��5�JdKE�`��J&LX��3��

l�
l�
+������	5'�
+�;6��'馟��$��_L��D �0���*@����a���x�JhA��b�XN�`I pŐ�Dn�
�"�	",���
��Q�D)1:�@I���1J��	�� S�,Y�Z��R�RD�"�gS�
+�H�p/ A$0��1!
�� N�(g
qfY\�q�����/�N\�
+$��ho�)lXs��5� �T���Q�c_ɾ$�<�
�d
pV
�0��;G؏�.�&
�e�B��n��p�����A-<��s\�p��!2I�*��
+[�Q��cQf�h�7 BO��*W���l�B��
������ل�oW�<�b�6:
���+�����ٗ�О}ɛBP
ي�9
m�_���(�r���P3	����]J�����
�ޫn�}r
��
��֙[罩��qB�40q���H��[�[P�E
q����	J���� ����!)�}h2�Xb�\�$h��i/�$��
��2��n�A�o�l��������Fb:
CmW E� Q�gѕa]�
�,���*t���/V܀
�X�Nji�"���î�J�&�޷N�
��{���cJ��	�(�����
��H�
1�ɑ
������S��kڏdUk���V��>����4<ܮ�����!�݄t9�
+Cw(Qw��<�)��«#�s�A)�bb�
������\�����c�G{7��c�y���
/�������+
}���yRs���$�
\_
.ݬ#���Н�}ۗgM.9��2}�x��h
Ά5ˢ���~C��&A2
z��nd�܂�� �я�,dJ�P��<9�w�!��I�a9�� ����)�Z1�(p–� ���2�#�W��<�E������M4���;U�t��Z7��c���������I�r��&Ul�*#V����1��MZ�:\H
P�Xi�e)��h�?I��O�K�z�|<�?ٽ��WnP"��&�v���&�~��?��5�
�����c���P1��Twss��h~�]2|˽�Oz�{���}��%3>�Vv��M3ݸif��'4�>�zu�P�}��<F]��x,���GxV.���>b�r���E�v���>��r)�
1��Z��eph��Xyr��G�a�	@����k3t�$��,O)_
B䬕X���{F
�R�PA��2g 3�1�H	�}�����
���نCt��a!2���9�D�/�i�y\[9�#
�4�� p�G�[�8�u(]xR9 ���KR�r6�h]���+����v��
J"�<�,y �,#* �k�Dm�S_���'0�g
��J�1��}�I�b#F�f�Fݘ�_o�P\�*t������J:��wp�•
W
(2-\���G� ��D��ᖆe#96�r������]��=ҽI�1��nF�_.[��$8����@�k��^)d�֞%�%X�
�B��\8H�A
+1~!����;�G��ڇ՛2�
��
v���c�{ZA������#\ߕ����IÎBu�[Ps��C7(#
�z��Ҽˊ�,�B
����C���*�`+}�2
�1��Aa�K��p��h���}��p?���{h�N_ �ްg���\�yߗ���:v�v���}

^������]�)���Ib7z�v������˛T�L262����)a���._�{p��œ
,��'�c���(}>�[Yl����̽�EV+m&�t
�$��<�R�{'=11�sSGML
zo�hg�f�{�?�4ڙ
�gԄ�9�Ͱl$�"��U
+��
�ө ��'ht3b�52o�CfX�@���.$��wT��R�.���f�/� �|L�>Ҋ�Q����ŽZ�٘8�
��!�%U�
��w��1

+��d��ɬ!J2��?0z�4n��9�~+V��])s8
�2|��x{�;�$ˤ�z�^�mzUu�
��>�
5��S�)[�(��q�R��,�-J��9�&�<�(Z<)�
��
�T�P�Y�?�12��h���8�bk.˾�r������C�qD��
�x����co�K�[��=:���Ki�H#W|U�y3X<��?�N���c��f�
��x�yԇy�>A�jv(0�"�ю���S��
��+���k�L�����3�� N�s�p�����bX��endstream
 endobj
-2873 0 obj <<
+3125 0 obj <<
 /Type /Page
-/Contents 2874 0 R
-/Resources 2872 0 R
+/Contents 3126 0 R
+/Resources 3124 0 R
 /MediaBox [0 0 612 792]
-/Parent 2877 0 R
+/Parent 3112 0 R
 >> endobj
-2875 0 obj <<
-/D [2873 0 R /XYZ 72 720 null]
+3127 0 obj <<
+/D [3125 0 R /XYZ 72 720 null]
 >> endobj
-2876 0 obj <<
-/D [2873 0 R /XYZ 72 409.542 null]
+3128 0 obj <<
+/D [3125 0 R /XYZ 72 557.874 null]
 >> endobj
-2872 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F51 1171 0 R /F52 1472 0 R /F35 1440 0 R /F48 554 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R >>
+3124 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F72 1166 0 R /F73 1467 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F53 1695 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2880 0 obj <<
-/Length 1410      
+3131 0 obj <<
+/Length 830       
 /Filter /FlateDecode
 >>
 stream
-x��WKo�6�����$E=�[
ݢ�z@P��� K�CĖRIN���<�����^�
��"g��������wi6QJ̓dr����L2�
i�R��=�����w�<�"��$�����%bi��#&R��~h���SΧ�D�Q?Uѝ���LG��Nu�6R���
-9
-��ʕ��X�q�$Q��َ�_d"PYv����-}+��M�P�Z��Ϸx��P���"�����}��b)�$��(�)9׬�"l�JS��ב�`���
�29����	�4Fg���U�
�̌��
���\�K
�1�m����ƶ�u�\Ϳ�f�W���
C���=���0A%f�n�@���q$�̈�dޓ�#�ΌL�
\�[k8�i
��[0!�	L@
 �\
X��d2�D�^Œ�B&!E]��Zd�6ԩl�/!O�D$*~e��SE�J8�:ώK�IX

A�
	i�Ryq
�WM��g#�� �&�I9U���+�pw�8�<���^B
��
�"�
O
-���0O�P ت�+mG"�C��2��T��C3�
2
-T/0Z�#׎S1W�n��[槢
��7���pq7R�ڢ���{$��C��Y�`Jҡa�9�Q9X�oI"b�5���ԕ�
��.6�	�W]S�~���*���3đ��4:U|� �>H��9B3����Su�$A~֜<�>�4P
s�j�� �Rjh@�P�I'�|�
���f����J��G�+28����ԙqR��M�w#A�P�5�+��K�֞�E� �p�)�s���$q�z޶�a�)
�A����JR�&+E�3�7R����Z\=pɽgɍ[���g�%ߚxu��'�_S��G�?j�����
�x}c���B0�3�w��ak�4�y��=���x��������C�|�7
<0(����tG=:M��Be�/z����B���
7��g��������šY����/���̿�c h~`���k�1�&2*��s�9Rwo�Gޖw�J�Ѣ�{��+J˦a��T��A�~@�#>��ڎNd�ȵ�Q�I��
]�Ge����
k�6u6�RU�Q�
}ޕ
s
�*d$�,#$"�g]}�F��c��Y6`
�'JͤO��vk�3
">8cT.�J���H�P�V�<nP{���l���󯮶
�5�n���
h;

-�X��Ə��e@Z
��F ˩9�
-#����E�~^ ���)�4�{����7�	Ոh�L���@�|M#|k����U��$��]����5��}��Хsh]�
d����+ �]���mX ��>W��f~�伯9?q��u�ua�D
�
��\���/��غXnl5�U��L�ɳy@����̋%�轝�w�<���
-M��z���v��<�l���v��\wgK
-<x'"6
�bB��o��#
�endstream
+xڝV[o�0~��#����ӷ&]��K�IѤ�
!	J
+Q ����sq k�M{0���s>��0��]�H�R�4��� Q�$0"�v5�ҫ���Z;ٕ�1۷,�5ßӏ7*���RBF	�eCe�x
xg���v��(QL�
�Co�j0��IK� .��/
\�����s��e����
M��ᮋ
�
���
+��2�&���9�C�xk�l�[�8�
�BQfT?�^U\-��Lq��\ ����B���t�9x�PE
 ���m�t��z��}�
+��uz�Bӱ�h�.`��s�;������
j(��sr��YY֋���|q��T�8��ak
�[5bL�$ޕ��a|P�+
��*<'�[����GV��xDvX�D'lc�U��U�PI{*��5�c;�/�ח�� FE%��'�䫬�:e]� Hyc��Ԉ�/M"��w�f�f�v��_�,N��ױ06KB5�(S�Ze��S��s~BB@��F
3VV̘�
K�P4w\��@���i�?�;���kH�� �
q�	�}�Blv0z�p<���	L�ݕ
UaGVu~�8��n3װ���v{��n�O����kƢa��i8R��`جX�gn�3$�+�ͻ�t��x�P)��a~ 	Ww=�kL��?�G�����?�LSa"&d4��1π�:����v��<���KS6�5�B���kY5'r��lY�M["�V��w$���̣�l���=ݓ�m�s�
�:�K_
VKZ�.��}g3@*�$M,t�!h���P�Pi�!1���]�	Eb�
H�}L��p��5�\p.�[ [...]
 endobj
-2879 0 obj <<
+3130 0 obj <<
 /Type /Page
-/Contents 2880 0 R
-/Resources 2878 0 R
+/Contents 3131 0 R
+/Resources 3129 0 R
 /MediaBox [0 0 612 792]
-/Parent 2877 0 R
+/Parent 3112 0 R
 >> endobj
-2881 0 obj <<
-/D [2879 0 R /XYZ 72 720 null]
+3132 0 obj <<
+/D [3130 0 R /XYZ 72 720 null]
 >> endobj
-2882 0 obj <<
-/D [2879 0 R /XYZ 72 519.211 null]
+3133 0 obj <<
+/D [3130 0 R /XYZ 72 700.334 null]
 >> endobj
-2878 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F29 672 0 R /F76 747 0 R >>
+3129 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2885 0 obj <<
-/Length 2245      
+3136 0 obj <<
+/Length 2252      
 /Filter /FlateDecode
 >>
 stream
-xڕ�r۸�=_��՚XA2mw&�&�t2����i��%R'�!)[vg���\ ^�p�~q988�
��Ջ�ޙ�B�B���j{���4�D�aV�7�j%�?��W���]̀M,t�."=� U��ӷ
/0%")-�U�'y��U����3=
oV�����꺃Y�
-a7����
�u�!n	�68�
@�'��\���PI�ˌ��;
;��nk��8M��r
HK]��z_�̙2�$�Yh�*#TƂ�����`�� ^U
-��(
Z��\�v�ЮB�,�=�������nVI
�g
[໕ʀ��O��
�b�d
��H:�
i:N��S�<h0�Zhm�Q&+�Anp�退k��xÑúaRR��9��'n	UO��]aX2���b.����5o��%���H/y�^��V�(�CŠ_�$��]�8��QRC�t.��Z_�M{ q��ae��-k뗰���S��Q#���h�pf��-��/�²�
7�ȢN~'=ZڠL„�9�
-u��w�
�1`������W_
�ԇ�:TM� 
-�/��n�;�jT �Y
-ᒷ���]�=l���CFO��c)�X�ş��W%qW���4�VJH���߯�D��^P`x�W��8L�{4TQ}
?h�a�_��o��?۩����o�s\�^.�
^�%ɫX �`�n��
���~�~��BY��v��
$�407�c�e�-���J�#��h9/X8?���{]�5^�8�����9�_�]������ O*�!g���/�-���J���y�'k���c92M��\��'�"��(���u:����#�_ى����m�ߓC�"Y�pyƆ��B�
q����
8�Άֻ���R1$<�0�9��>[p/8Ǔ,�c_��|b�"�
�
^�F���xb�QS�7ia[��6:i���
ޒ*��̞|��?~����K"�
)e|�zPB	��1���En
u�I��
�VU�l��(6�3�Lh�d�iG�"[�ХV�֒��1���
�J�r��
b
������Z���{� ~n�
�𐞀�����ؠ���y��:N�4I�_�z_qjH�T�������'��΢p�b��5��YG��@J�J�sV(U���c4�UL��t�T��� ���ڞ���s?�$hb�
PԳ�I��j_L�
@6�u?L�YŎ���q�
��r��U
;��03	��ç'S�
D�� �xLvQV]U�|�i���}
�5�Y��䐝��
V����E��	
�L��P�HZO�6T��g_��S��a�
3FJ��Be"(cL}�IRa.�ɱ��B�l'���>�J��Jts +�'�>��7;6������
<1{�TR�L8��鱐����m�ߛ�7߼�yp"b�-�C�y��&ģY�}���.x<��^S^�2ŻF�@�Σ
�!Mx�$#!Ub2"{����c��gI*�3C:U-�T��f��
�9ۧ�6��ەk�����>������\kKK���nʮ��p�-�%s.m
��Ƥ"���9��E� c7�O*
��TR5Ӟ��ʋ��Ufy	����N���
��ޡ
�$���x:�;F�q�+�f���`��G��� cf���4�1 0���0BPb�.��6�
qBl�fg�S��� gD�CXG���P��N?~�J飯�I����w[c���C�#g
S�ߑ�vߢ�֛b���8,���)�䭢�/Y1��5�D
-
��Lx��)�%�����!��Er�����ҧҶ����S2�Io�C6�֮|�Л
�cU��3c
�iG.���ڢ*��
N�GG1Dͩ��X��۪
��
�J�g8�(�(��An�ܯ�*w��Љ���
9�/�	�R��Ź�Ǡ�r�$��+�_0H&�WA��|~��b��@�\�@+.�4S&y� �SP��xVL��I�b
���)����#���~����!m�\�p�����s@�m
��fp@,���
0�������&r
�}}�B_���p��oH�@
Tc�剘�Э>/b
-1%�ǭ
�d���{�\�
��%!��X���
��K
Jy�JЩ�J��l������rS�#��Q7>�E��:~F�(��5K񉰚�z�pE�l��ذI�d���
�e� m�a�_��
��רq��=�t.�
.��� �
jkc��b"��8
�d�������ޥG|��ۭ��z�Ipz��~� gYd!n�rp�HӮ��T
-�O�E�qE�

0���Ջ� mr7Eendstream
+xڵYmo�6��_��'m��o�ԻH�I��{����zW��V�����73
�h���� Q"g��
g
R?
���)�D:���
�N�������򿕜�J�%�.���cT��i�0���4�z]õ�k�
�W<r����3�G~;�u��~�j�G¬����
k���u5�q��56]��J쯦ZV|�T���-��&36f��.[2���f:�
��2���T��v����
�O.�M4O�M$ȱ4�#4S�PMG�z��)�s
�?O�K�xZ�����>d�֍�.�	*�%~��o��iA���'��Gy����,6#<_|��<LU����RyC�{
E�+���bp]�����0�0
m@Փ�4˜���g
��h�%>�xKи�Fۡۊgu�^��Fn�Z=R,
�,�ڐ��l�������ۇZxy�j���M�9��]�=���4���ɑ���
�M�^?��'��׬'�
cʴ��&�#�bM�+���!�(��NcNy���k�ʛ�8̖a
d�
�
���/BX&��F HNg��՛i��L���~�c
+�~�e��7!X/}��y{�rwʹJNT�C+�,x�T��
+��B��,�S���l�R�������2Z}���|�RBZG�� ��>�� �ƿ��{�ي�
��o����=~��( 6/Y�2J�����W�rɐ�-3��GBP��H=8rv�� �?
+��&ox�3 ��=�jx����
������p
�DЖ���j�;l���<�U���"ZE�/�Z�.'��Ï��$6q'��険��v��v8*��tNHm��
���hr���xx��O3��-�)^�E��.+ �#�4v��9JzԵ�]}~ݦ
D��Ң�������TD��@�n��
�Ң�^�%�"�R��2dk�{ž��ֶp֍h�.�Ȧ�E�?��ȋ�����<�N�F�o��{�0��.���S!BJ�ջӒh����A�/p��G��D��^%��
�
+�KZ�UHe��a�
+#���� ��ҳ9;�������ҵ�v�LG�}
�;WF| 0j�Sv��
nز�-H��-:��>fN�A���^ϘV��낅��~�*Ͻ���|� |�a�hW
�'����S��/���[��K���%��̤��vr䆭���J�!q�
�l���g�9.�6y�*9��ϳ�b6
B`
�P�S9ߑr�*�I�PEj��%z��}�����@�o����٧�g�X�:8����
��Bw�L�ۄ_m�b��#�:�:K)��`���n���
����K-M�$�k㗲�ɇ����#
�~��}�8�]�xߖ�̬��*e�i
���bM���eF��#3-�$�J�Ѻzu
#�VI��:�
+�
���oe�H��{+g�D_Q4�\w��o���"V\�V�(�M��'
Y>_(E���
����>V]'�V�8��C���=��xv�-0�
x
�l��
k�
�?rl�وg#.U��j����-�L��6���
�1K�w����<;�@g�s�+/a��
_�(m��(�L�
_�2WB�q��[�>�;{�����@Y�lAv.���
|/�}�]����w@Ɨ�p��w��D�����+4���T�y�y�:
�e��カ�]W�����|&�O̗�"�ςs�C�] �f\^w�~.�l���7F4u��wN.��*n'gR����{EO���;���$
y�R8`��{��<�r8�-�0O����"c(H�5by����Yv���Z��B<Y�U��=�vl=d�#�I��$=��G|
�(�R#O�o~},6��*�Gp��
�e����ܥ�!
K��Gj�~jOfa@��w�(l7�$��n��czw
�[2���jm��dkú#bY1f��

�P�Zr�j�Q���a�n����+֫6�	Z�L�v��xZF�Y�t���
�?�U�l��� ��qb}��c:�c���6���8[pΤݡ~N&BE���_��p�-
��,���?��L������
����j���x�R*VH}�>�X	E�؊���|�i�q��i�q6�7
�
������Ǿ��<v�G�(�� v���
c^[!��
�9��
B�u��Q��
<���Y
 ����cvZaKy�qb�!m��Ҏ�tf�
<��a�<_f�0�ꢧˁ*����c���Y"��H�
8;Ϫ�i~�|�畷p����1��������J�HA����0�=�JY�4�sDŽ���#�-\��x}���2�s�endstream
 endobj
-2884 0 obj <<
+3135 0 obj <<
 /Type /Page
-/Contents 2885 0 R
-/Resources 2883 0 R
+/Contents 3136 0 R
+/Resources 3134 0 R
 /MediaBox [0 0 612 792]
-/Parent 2877 0 R
-/Annots [ 2887 0 R 2888 0 R 2891 0 R 2892 0 R 2893 0 R 2894 0 R 2895 0 R 2896 0 R 2897 0 R 2898 0 R 2899 0 R ]
+/Parent 3112 0 R
+/Annots [ 3138 0 R 3139 0 R 3142 0 R 3143 0 R 3144 0 R 3145 0 R 3146 0 R 3147 0 R 3148 0 R 3149 0 R 3150 0 R ]
 >> endobj
-2887 0 obj <<
+3138 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [198.886 626.966 227.542 640.913]
+/Rect [198.836 626.981 227.452 640.815]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.20) >>
+/A << /S /GoTo /D (section.12.13) >>
 >> endobj
-2888 0 obj <<
+3139 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [239.57 613.184 268.226 625.803]
+/Rect [239.319 613.205 267.935 625.748]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.29) >>
+/A << /S /GoTo /D (section.12.22) >>
 >> endobj
-2891 0 obj <<
+3142 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [292.84 424.746 326.764 438.694]
+/Rect [292.875 424.791 326.752 438.625]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2892 0 obj <<
+3143 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [333.197 424.746 358.601 438.694]
+/Rect [333.215 424.791 358.592 438.625]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2893 0 obj <<
+3144 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 316.475 501.89 330.423]
+/Rect [455.338 316.494 501.9 330.329]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2894 0 obj <<
+3145 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 316.475 533.192 330.423]
+/Rect [507.837 316.494 533.214 330.329]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2895 0 obj <<
+3146 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 300.339 540.996 312.959]
+/Rect [449.991 300.36 540.996 312.903]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2896 0 obj <<
+3147 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 285.229 175.918 299.177]
+/Rect [147.912 285.244 175.883 299.079]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2897 0 obj <<
+3148 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 285.229 207.784 299.177]
+/Rect [182.33 285.244 207.707 299.079]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2898 0 obj <<
+3149 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 174.692 273.869 188.64]
+/Rect [239.774 174.69 273.651 188.525]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2899 0 obj <<
+3150 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 174.692 305.735 188.64]
+/Rect [280.099 174.69 305.475 188.525]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2886 0 obj <<
-/D [2884 0 R /XYZ 72 720 null]
+3137 0 obj <<
+/D [3135 0 R /XYZ 72 720 null]
 >> endobj
-438 0 obj <<
-/D [2884 0 R /XYZ 72 720 null]
+434 0 obj <<
+/D [3135 0 R /XYZ 72 720 null]
 >> endobj
-2889 0 obj <<
-/D [2884 0 R /XYZ 72 575.425 null]
+3140 0 obj <<
+/D [3135 0 R /XYZ 72 575.474 null]
 >> endobj
-2890 0 obj <<
-/D [2884 0 R /XYZ 72 493.333 null]
+3141 0 obj <<
+/D [3135 0 R /XYZ 72 493.409 null]
 >> endobj
-2900 0 obj <<
-/D [2884 0 R /XYZ 72 137.598 null]
+3151 0 obj <<
+/D [3135 0 R /XYZ 72 137.629 null]
 >> endobj
-2883 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3134 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2903 0 obj <<
-/Length 1588      
+3155 0 obj <<
+/Length 469       
+/Filter /FlateDecode
+>>
+stream
+xڭT�N�0
��+"N��Y��K��b����n��X;��R 
|;N�&
 6&nS���~vs::C��i�$d<'R�R�z�_���x� ���`����臗��a��J�Ճ�I
��b��^��0�_t��/[��E��Xf��Dq"��;��!�ዉh�G��=� +1�
؄%�$`U�a_KL����ݷ���v`��rѸ��k�N���DyK����
}`��E�
+�Z;#���L��R�^�"]囗仞��K��C\颗���Q��Y
+e�`^������|+ԧl�؈P�D����|��ųM,{n=�‡7M�O1�����b���b�����Tn¸A��
8u}���H]i_��	�=�o����*m.�_�<h�k���9v�u�g�f>k��D
�6F8H�R�A�XFS2��DM�}i�5�>����W"%gu0
+��m�
m�xO�]�"�Tt���u=2L�a��\�M�endstream
+endobj
+3154 0 obj <<
+/Type /Page
+/Contents 3155 0 R
+/Resources 3153 0 R
+/MediaBox [0 0 612 792]
+/Parent 3157 0 R
+>> endobj
+3152 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/poisson-ExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 3158 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 3159 0 R /F2 3160 0 R /F3 3161 0 R >>
+/ExtGState <<
+>>>>
+/Length 3162 0 R
+>>
+stream
+q
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+78.87 273.60 m 396.33 273.60 l S
+78.87 273.60 m 78.87 270.00 l S
+142.36 273.60 m 142.36 270.00 l S
+205.85 273.60 m 205.85 270.00 l S
+269.35 273.60 m 269.35 270.00 l S
+332.84 273.60 m 332.84 270.00 l S
+396.33 273.60 m 396.33 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 75.53 253.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 139.03 253.44 Tm (2) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 202.52 253.44 Tm (4) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 266.01 253.44 Tm (6) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 329.50 253.44 Tm (8) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 389.66 253.44 Tm (10) Tj
+ET
+57.60 278.40 m 57.60 388.49 l S
+57.60 278.40 m 54.00 278.40 l S
+57.60 305.92 m 54.00 305.92 l S
+57.60 333.45 m 54.00 333.45 l S
+57.60 360.97 m 54.00 360.97 l S
+57.60 388.49 m 54.00 388.49 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 270.06 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 297.58 Tm (0.1) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 325.11 Tm (0.2) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 352.63 Tm (0.3) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 380.15 Tm (0.4) Tj
+ET
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 167.43 412.57 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 310.39 Tm (Probability) Tj
+ET
+Q q 57.60 273.60 360.00 129.60 re W n
+0.000 1.000 1.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 278.40 15.87 23.67 re B
+86.81 278.40 15.87 0.00 re B
+102.68 278.40 15.87 61.10 re B
+118.55 278.40 15.87 0.00 re B
+134.43 278.40 15.87 116.15 re B
+150.30 278.40 15.87 0.00 re B
+166.17 278.40 15.87 120.00 re B
+182.04 278.40 15.87 0.00 re B
+197.92 278.40 15.87 100.18 re B
+213.79 278.40 15.87 0.00 re B
+229.66 278.40 15.87 68.26 re B
+245.54 278.40 15.87 0.00 re B
+261.41 278.40 15.87 37.43 re B
+277.28 278.40 15.87 0.00 re B
+293.16 278.40 15.87 14.31 re B
+309.03 278.40 15.87 0.00 re B
+324.90 278.40 15.87 6.06 re B
+340.77 278.40 15.87 0.00 re B
+356.65 278.40 15.87 2.75 re B
+372.52 278.40 15.87 0.00 re B
+388.39 278.40 15.87 0.55 re B
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.40 l
+72.89 62.41 l
+73.54 62.41 l
+74.19 62.41 l
+74.85 62.42 l
+75.50 62.42 l
+76.15 62.42 l
+76.80 62.43 l
+77.46 62.44 l
+78.11 62.44 l
+78.76 62.45 l
+79.41 62.46 l
+80.07 62.47 l
+80.72 62.49 l
+81.37 62.50 l
+82.02 62.52 l
+82.68 62.54 l
+83.33 62.56 l
+83.98 62.58 l
+84.63 62.60 l
+85.28 62.63 l
+85.94 62.66 l
+86.59 62.69 l
+87.24 62.72 l
+87.89 62.76 l
+88.55 62.80 l
+89.20 62.84 l
+89.85 62.88 l
+90.50 62.93 l
+91.16 62.98 l
+91.81 63.02 l
+92.46 63.08 l
+93.11 63.13 l
+93.76 63.18 l
+94.42 63.24 l
+95.07 63.29 l
+95.72 63.35 l
+96.37 63.41 l
+97.03 63.46 l
+97.68 63.52 l
+98.33 63.58 l
+98.98 63.63 l
+99.64 63.69 l
+100.29 63.75 l
+100.94 63.80 l
+101.59 63.85 l
+102.24 63.91 l
+102.90 63.96 l
+103.55 64.01 l
+104.20 64.06 l
+104.85 64.12 l
+105.51 64.17 l
+106.16 64.22 l
+106.81 64.28 l
+107.46 64.34 l
+108.12 64.40 l
+108.77 64.46 l
+109.42 64.53 l
+110.07 64.60 l
+110.72 64.68 l
+111.38 64.77 l
+112.03 64.86 l
+112.68 64.96 l
+113.33 65.07 l
+113.99 65.19 l
+114.64 65.31 l
+115.29 65.45 l
+115.94 65.60 l
+116.60 65.76 l
+117.25 65.93 l
+117.90 66.11 l
+118.55 66.29 l
+119.20 66.49 l
+119.86 66.70 l
+120.51 66.92 l
+121.16 67.15 l
+121.81 67.38 l
+122.47 67.62 l
+123.12 67.87 l
+123.77 68.12 l
+124.42 68.39 l
+125.08 68.65 l
+125.73 68.93 l
+126.38 69.21 l
+127.03 69.49 l
+127.68 69.79 l
+128.34 70.09 l
+128.99 70.40 l
+129.64 70.72 l
+130.29 71.05 l
+130.95 71.40 l
+131.60 71.76 l
+132.25 72.14 l
+132.90 72.54 l
+133.56 72.95 l
+134.21 73.40 l
+134.86 73.87 l
+135.51 74.36 l
+136.16 74.89 l
+136.82 75.44 l
+137.47 76.03 l
+138.12 76.65 l
+138.77 77.31 l
+139.43 78.00 l
+140.08 78.73 l
+140.73 79.49 l
+141.38 80.29 l
+142.04 81.12 l
+142.69 81.99 l
+143.34 82.88 l
+143.99 83.80 l
+144.65 84.75 l
+145.30 85.73 l
+145.95 86.72 l
+146.60 87.73 l
+147.25 88.76 l
+147.91 89.80 l
+148.56 90.86 l
+149.21 91.92 l
+149.86 92.99 l
+150.52 94.06 l
+151.17 95.14 l
+151.82 96.21 l
+152.47 97.29 l
+153.13 98.36 l
+153.78 99.44 l
+154.43 100.51 l
+155.08 101.58 l
+155.73 102.65 l
+156.39 103.72 l
+157.04 104.79 l
+157.69 105.86 l
+158.34 106.93 l
+159.00 108.01 l
+159.65 109.08 l
+160.30 110.17 l
+160.95 111.26 l
+161.61 112.36 l
+162.26 113.46 l
+162.91 114.58 l
+163.56 115.70 l
+164.21 116.84 l
+164.87 117.99 l
+165.52 119.15 l
+166.17 120.32 l
+166.82 121.51 l
+167.48 122.71 l
+168.13 123.92 l
+168.78 125.15 l
+169.43 126.39 l
+170.09 127.65 l
+170.74 128.91 l
+171.39 130.19 l
+172.04 131.48 l
+172.69 132.78 l
+173.35 134.10 l
+174.00 135.42 l
+174.65 136.75 l
+175.30 138.08 l
+175.96 139.41 l
+176.61 140.75 l
+177.26 142.08 l
+177.91 143.41 l
+178.57 144.73 l
+179.22 146.04 l
+179.87 147.34 l
+180.52 148.61 l
+181.17 149.86 l
+181.83 151.08 l
+182.48 152.27 l
+183.13 153.43 l
+183.78 154.55 l
+184.44 155.61 l
+185.09 156.63 l
+185.74 157.60 l
+186.39 158.51 l
+187.05 159.37 l
+187.70 160.17 l
+188.35 160.89 l
+189.00 161.56 l
+189.65 162.16 l
+190.31 162.70 l
+190.96 163.18 l
+191.61 163.59 l
+192.26 163.94 l
+192.92 164.23 l
+193.57 164.48 l
+194.22 164.68 l
+194.87 164.83 l
+195.53 164.94 l
+196.18 165.03 l
+196.83 165.09 l
+197.48 165.13 l
+198.13 165.17 l
+198.79 165.20 l
+199.44 165.24 l
+200.09 165.29 l
+200.74 165.36 l
+201.40 165.46 l
+202.05 165.59 l
+202.70 165.77 l
+203.35 165.99 l
+204.01 166.26 l
+204.66 166.59 l
+205.31 166.96 l
+205.96 167.40 l
+206.62 167.90 l
+207.27 168.45 l
+207.92 169.05 l
+208.57 169.70 l
+209.22 170.40 l
+209.88 171.14 l
+210.53 171.91 l
+211.18 172.71 l
+211.83 173.53 l
+212.49 174.36 l
+213.14 175.19 l
+213.79 176.00 l
+214.44 176.81 l
+215.10 177.59 l
+215.75 178.33 l
+216.40 179.03 l
+217.05 179.68 l
+217.70 180.27 l
+218.36 180.80 l
+219.01 181.26 l
+219.66 181.66 l
+220.31 181.96 l
+220.97 182.18 l
+221.62 182.33 l
+222.27 182.40 l
+222.92 182.39 l
+223.58 182.29 l
+224.23 182.10 l
+224.88 181.84 l
+225.53 181.51 l
+226.18 181.10 l
+226.84 180.63 l
+227.49 180.07 l
+228.14 179.46 l
+228.79 178.78 l
+229.45 178.06 l
+230.10 177.28 l
+230.75 176.45 l
+231.40 175.57 l
+232.06 174.65 l
+232.71 173.70 l
+233.36 172.70 l
+234.01 171.68 l
+234.66 170.61 l
+235.32 169.52 l
+235.97 168.41 l
+236.62 167.27 l
+237.27 166.10 l
+237.93 164.91 l
+238.58 163.70 l
+239.23 162.48 l
+239.88 161.23 l
+240.54 159.98 l
+241.19 158.70 l
+241.84 157.42 l
+242.49 156.12 l
+243.14 154.81 l
+243.80 153.50 l
+244.45 152.18 l
+245.10 150.86 l
+245.75 149.53 l
+246.41 148.21 l
+247.06 146.89 l
+247.71 145.58 l
+248.36 144.27 l
+249.02 142.97 l
+249.67 141.69 l
+250.32 140.41 l
+250.97 139.16 l
+251.62 137.92 l
+252.28 136.71 l
+252.93 135.53 l
+253.58 134.36 l
+254.23 133.23 l
+254.89 132.12 l
+255.54 131.05 l
+256.19 130.01 l
+256.84 129.01 l
+257.50 128.04 l
+258.15 127.10 l
+258.80 126.20 l
+259.45 125.34 l
+260.10 124.52 l
+260.76 123.73 l
+261.41 122.98 l
+262.06 122.26 l
+262.71 121.57 l
+263.37 120.92 l
+264.02 120.29 l
+264.67 119.70 l
+265.32 119.12 l
+265.98 118.56 l
+266.63 118.03 l
+267.28 117.50 l
+267.93 116.99 l
+268.58 116.48 l
+269.24 115.98 l
+269.89 115.47 l
+270.54 114.96 l
+271.19 114.44 l
+271.85 113.91 l
+272.50 113.36 l
+273.15 112.80 l
+273.80 112.21 l
+274.46 111.61 l
+275.11 110.97 l
+275.76 110.32 l
+276.41 109.64 l
+277.07 108.93 l
+277.72 108.20 l
+278.37 107.44 l
+279.02 106.65 l
+279.67 105.85 l
+280.33 105.03 l
+280.98 104.18 l
+281.63 103.32 l
+282.28 102.44 l
+282.94 101.56 l
+283.59 100.67 l
+284.24 99.77 l
+284.89 98.87 l
+285.55 97.98 l
+286.20 97.09 l
+286.85 96.20 l
+287.50 95.33 l
+288.15 94.46 l
+288.81 93.62 l
+289.46 92.79 l
+290.11 91.97 l
+290.76 91.18 l
+291.42 90.40 l
+292.07 89.65 l
+292.72 88.93 l
+293.37 88.22 l
+294.03 87.53 l
+294.68 86.86 l
+295.33 86.22 l
+295.98 85.60 l
+296.63 85.00 l
+297.29 84.41 l
+297.94 83.85 l
+298.59 83.30 l
+299.24 82.77 l
+299.90 82.25 l
+300.55 81.75 l
+301.20 81.27 l
+301.85 80.79 l
+302.51 80.33 l
+303.16 79.88 l
+303.81 79.44 l
+304.46 79.00 l
+305.11 78.58 l
+305.77 78.16 l
+306.42 77.75 l
+307.07 77.35 l
+307.72 76.95 l
+308.38 76.55 l
+309.03 76.16 l
+309.68 75.78 l
+310.33 75.40 l
+310.99 75.02 l
+311.64 74.65 l
+312.29 74.28 l
+312.94 73.92 l
+313.59 73.56 l
+314.25 73.21 l
+314.90 72.87 l
+315.55 72.53 l
+316.20 72.20 l
+316.86 71.87 l
+317.51 71.55 l
+318.16 71.25 l
+318.81 70.95 l
+319.47 70.65 l
+320.12 70.37 l
+320.77 70.10 l
+321.42 69.83 l
+322.07 69.57 l
+322.73 69.32 l
+323.38 69.08 l
+324.03 68.85 l
+324.68 68.62 l
+325.34 68.40 l
+325.99 68.19 l
+326.64 67.98 l
+327.29 67.78 l
+327.95 67.58 l
+328.60 67.38 l
+329.25 67.19 l
+329.90 67.01 l
+330.55 66.82 l
+331.21 66.64 l
+331.86 66.46 l
+332.51 66.28 l
+333.16 66.11 l
+333.82 65.94 l
+334.47 65.77 l
+335.12 65.60 l
+335.77 65.44 l
+336.43 65.28 l
+337.08 65.12 l
+337.73 64.97 l
+338.38 64.82 l
+339.04 64.67 l
+339.69 64.53 l
+340.34 64.40 l
+340.99 64.27 l
+341.64 64.14 l
+342.30 64.03 l
+342.95 63.92 l
+343.60 63.82 l
+344.25 63.72 l
+344.91 63.63 l
+345.56 63.55 l
+346.21 63.47 l
+346.86 63.41 l
+347.52 63.35 l
+348.17 63.29 l
+348.82 63.24 l
+349.47 63.20 l
+350.12 63.17 l
+350.78 63.14 l
+351.43 63.12 l
+352.08 63.10 l
+352.73 63.08 l
+353.39 63.07 l
+354.04 63.06 l
+354.69 63.06 l
+355.34 63.05 l
+356.00 63.05 l
+356.65 63.06 l
+357.30 63.06 l
+357.95 63.06 l
+358.60 63.06 l
+359.26 63.07 l
+359.91 63.07 l
+360.56 63.08 l
+361.21 63.08 l
+361.87 63.08 l
+362.52 63.09 l
+363.17 63.09 l
+363.82 63.09 l
+364.48 63.09 l
+365.13 63.10 l
+365.78 63.10 l
+366.43 63.10 l
+367.08 63.10 l
+367.74 63.10 l
+368.39 63.10 l
+369.04 63.10 l
+369.69 63.09 l
+370.35 63.09 l
+371.00 63.09 l
+371.65 63.08 l
+372.30 63.08 l
+372.96 63.07 l
+373.61 63.07 l
+374.26 63.06 l
+374.91 63.05 l
+375.56 63.04 l
+376.22 63.03 l
+376.87 63.02 l
+377.52 63.00 l
+378.17 62.99 l
+378.83 62.97 l
+379.48 62.95 l
+380.13 62.93 l
+380.78 62.91 l
+381.44 62.89 l
+382.09 62.86 l
+382.74 62.84 l
+383.39 62.81 l
+384.04 62.79 l
+384.70 62.77 l
+385.35 62.74 l
+386.00 62.72 l
+386.65 62.69 l
+387.31 62.67 l
+387.96 62.65 l
+388.61 62.62 l
+389.26 62.60 l
+389.92 62.58 l
+390.57 62.56 l
+391.22 62.55 l
+391.87 62.53 l
+392.52 62.51 l
+393.18 62.50 l
+393.83 62.49 l
+394.48 62.48 l
+395.13 62.46 l
+395.79 62.45 l
+396.44 62.45 l
+397.09 62.44 l
+397.74 62.43 l
+398.40 62.43 l
+399.05 62.42 l
+399.70 62.42 l
+400.35 62.41 l
+401.01 62.41 l
+401.66 62.41 l
+402.31 62.40 l
+402.96 62.40 l
+403.61 62.40 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+87.86 57.60 m 350.39 57.60 l S
+87.86 57.60 m 87.86 54.00 l S
+175.37 57.60 m 175.37 54.00 l S
+262.88 57.60 m 262.88 54.00 l S
+350.39 57.60 m 350.39 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 79.52 37.44 Tm (2.5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.03 37.44 Tm (3.0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 254.54 37.44 Tm (3.5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 342.05 37.44 Tm (4.0) Tj
+ET
+57.60 62.39 m 57.60 167.16 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 97.32 m 54.00 97.32 l S
+57.60 132.24 m 54.00 132.24 l S
+57.60 167.16 m 54.00 167.16 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 54.05 Tm (0.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 88.98 Tm (0.5) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 123.90 Tm (1.0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 158.82 Tm (1.5) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 196.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+3158 0 obj
+<<
+/CreationDate (D:20070601024443)
+/ModDate (D:20070601024443)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+3159 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+3160 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 3163 0 R
+>>
+endobj
+3161 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 3163 0 R
+>>
+endobj
+3162 0 obj
+11343
+endobj
+3163 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+3156 0 obj <<
+/D [3154 0 R /XYZ 72 720 null]
+>> endobj
+3153 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im28 3152 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3166 0 obj <<
+/Length 2386      
 /Filter /FlateDecode
 >>
 stream
-xڵXK��6��0�
d4b�����h�-�K��Akѻjmɕ䍓C{gHʖ��c7ۋDR��<�yP�Ϯ޼�Ʉ1�)5�-&�O4M	�0+���ۮ\坙Ƃ'ѯS���lۺr
�z�Ra�o��~z�^�/:��$�f��w�X1}&S՛�;�I�C}��Y£���
U���`��uD
��
<���{�kd���k���
���޹�+$ ���ꕧF��2w�xz$̫9<�wV CMQ7�y3y�Z+�*�g��+��E������;*��}�*!��ƴ���Eݸoݽ��X���2��5���W`�Y�.{]�s@�����,�"�,��+�WC6(�)�C3l���iP�-Zޟ	za�9[]`�r��,Q)�J
;���p
��=%2
�}	o�|�q�
�k۫3DHr!�c��7�1:���n'��v�
k*a�a��<�X=bfNlGҟM�i�
��L�I>8�&�d?'Dg
��$e���tGrk��
lc�ޏ�)O��u��L�!-�FeU�5|M#�
-�;��<�~��r����'r�k>�4n^l���sG�n	��EX�2�q��P$��ςd')�f�~I

=�Q� ;�忧�9~��U�uUWqe�,�ˇ
a���;��t`w��J�ǚ����3p�4U�ɳ{/�K��j�ʹ��>e�5��}�ׅ���B�x+
-X�y
�H�h�]9�}8��z����TG`��%� fO��Cy(�\
�xCE�&
-��
�@��哜�i&7���p)O�E� "e#�v�qtQ���76`&�ˑ�>ޛ��	AR�ω��]��Z���8��&���
jn�zl�m��W�
�;VI�
��K�����&�駶3� �����p��lC���b��om�b>07#��ٮ� T���=h��SL��<��L����PG�O"X% /�Q�4��OP���
|]�w�}��U	?��m{r�
�i��>By.#<�;��˰��=Ԟ"�ܕ-��y��gK�D,�& ��	iO�m

�Vڇ�1���b�?�H\�4mw�:�;����	Z�ib���ը�v���5��* O��
=�	�D�>��
-� ��
�	(0d`�J���w�9
�
�#oO
��Mp�M0\�߼h��c6mo�������i��(���u��p��J�u@Ɍ(�;
陠�f��3���2Q���k4
� �r���c�T�tW-� ��˥��-Iw��
�J�-�
�-����>�8�=>MCRP�		�!Զ�]������v��*�zʍ�w��3J�bt=����<Z7�(��Ҩ�A�@�ci���/�&��eie�	
$�ݴ�e��6�is��GG�m
��g
�A�+ڽo�ܚ
���m<r�� +S��
��6C�3��ˉ�XPL��0B�
��	�"�đf����д]C�
-h4���\V��/zPz
�q�vJʗ�Ѣ�F<��	���_"}��"�>�����?��p��p[�%}\
�
��uateօ�©��q6
�f��'I�����H��t_vhH?�_
.�L���,��A�K?�*�8�lڎMh�"�' ����gW�
�P�endstream
+x��ZKo#7��W�a�f�l�	|	6$�6Xc���
<R�֮m9�<3��[�G7�bKm�s�
f��U,V}U_���}��1Y1F�R��u�y��!T������E-�|��->^���;n����9'Li7�o
6o�~���0W

�A���(�X�o�-�j?�
Y$�-hٍ���y3o�dl���(��>,��?��=^��[|G�x|퇭8��W8�я���{?���7���r�W
Gn�*�%
+q5�K��W��D7�e
~E�+�h���z���o�$\�,�Ƙ��mx�C�U��p�
�U	�h��
���q������_9
�Z9-���n���
��~̃��o���ڛ�$^��d�:��ǑnC�8��3M��%1�8�?pF
�W���^���^����)�̲��;[Ň����I�;w��1�w3E�V"(��o�Η�W��z	���l���C�0#��_f^)B��PB�HB�E�)�.Z��LE
�JN��S?P�
+��u"��ez*V�F��A؏�e 8��{�i�~������h�&n@�n@�M��q؀�� ޺8N"몃
w[
L|�
�óm���H{,|je����
6��K���`^*�I�w���ꔋ�4��(h��S~8�Pa3�z��
�ŢV`����s
�w�� �Q����g—��u^�J�W
�
�̬��e�?}��*
3��
��� �[��!	���c�A��c���>&]��}7����Dlg���kL楯������4�뤮�Ec�f��Z�0H p��K��01�m�>=���Ӳ�
���c�-���#9���^�c�����F�-��X��.��0�;ƛ,R1"f�?����&bQ��v�J��xbx���NQU
�W�u,�_�+�n��mxv_��w���jW<��~�r�ܛ/
+�]仒K¡�Hs���X"��7
=-����b`]�YЉBqn�N�P�P���
��Ѫ�8
El��I�-�"6Kd����(bkI��J�&+����{x�%`�w�C�ZÁ�	��)�a�%��]u���!�./,���F�m�r}e�@��v[:!�"����Q�K�J��@�̂�7&
�|�=�&�m�X^��?�N���G7	`��F����m`��v�>B�GT�i�)�}	�b@�N3� �eTُ *�F�UD1���98���J��uN�����0+^:g�E�eo䐕9d�Co�S	1�v�U�p�l�C8z*�e:�w����r�(��V�t�v�(��i:�O�9˓ ��hY�
+ZJ�/R�'�g;Zڌ���a��.�J�=�AZ
�ۦ�ou]�b�b�a
�^�<x�rE��jP�n�B�.bZ	�3��u��W����~cs��
M��G콉o�H�j_�o#��#ӎ�@\�u�����c�
B�\��b{�
�T�`k=�&��z�OUK���c[�Ӄ���M�	H���a�$�(� J$3��r�AF+\�.�*(e]���1{��V��~�Q"!}|�kL󶺟��$���n���o�Zu\�NV�	{��d�-��rG�к���AB@j��\��f��Bդ�&�N���tQ��@
c 4��`��h(ι>�5���`#`M+L��`wuC(�@e|������2�H�	���N"T�p�'�+P�D���8J���ة)��m'�
V�'��o�R݊b�y_
+mDz�.?zpbA)Aa#y�H3!Q����}1��a����̚���ր
��dA��ΓoJ���Z��Ո�\��
�PF��v�IfΎ
0O|9�N2`lqi:�
cO~�����Oi��y�d'���np�s��@�9��
2�
�y���9�㫋�/�9�.|S@�l3�$���<
,a���KC�S_JYȼ�Xk(`��0��85��"r\.��)��&΍���UO��6��P�S�-bV��
�ޓB\3Q�.�ϡf<&o�T|˴��(�P�[nu�b����x8�W�n~�k
_��ZZ��Z6�g�̺�~�i��m�H�Sh0l�6ԩW��Z

',t�
<p
@ԧ�V�O<��0Xyc�#Je�pM��S�9�o:'�Հ�p�<�y��]A��8j��M��؊6C
��]�[��ܗ�c/� ~��I�ь}�E�h[���
�ݗ���x��I��C��}��ZtOk.ӑޤ�z���&
��]nV#�j
+�Uj��6"���(�
�N@����ݴg�J
a��PkF��h3�����!��Mޔ��X&�'�/��R
�K�{
�
���j�ۉĿw�G�/%�ve|�+�"������W�_�mȯ9$�\Fu���R�e���%��� ��SC��n%�Ƅ,�����G
�g�M���7PTV��Pʅ�O�>S���D� ,�
���o�وd�����endstream
 endobj
-2902 0 obj <<
+3165 0 obj <<
 /Type /Page
-/Contents 2903 0 R
-/Resources 2901 0 R
+/Contents 3166 0 R
+/Resources 3164 0 R
 /MediaBox [0 0 612 792]
-/Parent 2877 0 R
+/Parent 3157 0 R
 >> endobj
-2904 0 obj <<
-/D [2902 0 R /XYZ 72 720 null]
+3167 0 obj <<
+/D [3165 0 R /XYZ 72 720 null]
 >> endobj
-2905 0 obj <<
-/D [2902 0 R /XYZ 72 503.769 null]
+3168 0 obj <<
+/D [3165 0 R /XYZ 72 700.334 null]
 >> endobj
-2906 0 obj <<
-/D [2902 0 R /XYZ 72 293.682 null]
+3169 0 obj <<
+/D [3165 0 R /XYZ 72 499.18 null]
 >> endobj
-2901 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F79 926 0 R /F48 554 0 R >>
+3164 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F126 638 0 R /F69 550 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2909 0 obj <<
-/Length 2701      
+3172 0 obj <<
+/Length 2671      
 /Filter /FlateDecode
 >>
 stream
-x��ZY���~�_A,�X���v�l��X`����G�$�������S�ռ��X���l�/#�Ϫ�:��9߼���ef"Ι�:z���e:��İDA��M�V������~)��@x�
%n̫��Lf2�ﶋ�-w�<�����bQ�}#5mv�3�ŋ�j�A��q�.�+�&���ޢ�W0ŷ����}了�y[,���i$��<n7�Wh�Է	��ܿ�M�W'KF���0#�:y��0\�6��L��܏��8����88�)�Y�x4�)��a��HA��-�q�nQ]�
�Em��aO���-�e¬��L�,�­ű����W((	�:JS����|s���7�hq�D�]%L���s„���
-4PB����ǫ?�kͺ�f�վA?�zd�aKX�{��V�G��s�Rn��d\Ә��*�f�	k]SIӔ�	f���}��	ر�I&�$S&#�l�@�
��eV�Dp4\�H(f᧗�H�M ����d��`:Q�+Z��&�W=?YB0���Ni�5��X�
� �>�>6�0��x��Z �h4#I�e���m��뉨)�Q���80�4<�
�6�I1}����h''��^`V�b���pFʘ>b��T���|��2����M`���c�P\f@�E
��߅,�{�* �۝��r$�
sAƔ��uQ!K*&�DAuV��e&�Fcȫ��?&�)�X*�z
�K�o]~�u]��Z�y]�𛪠UXTԶܮh�w�����G%�Ϝ���\=�������0NR*�C�펒o$ThWr�]E�JjXI�I��rng!�ɩ۩L�	HH�*%�U�X�o��,3"��5��' 8bK�J�����Д4���=�h�=�����?�;�z�΋��eKZ��a�|���+Zyr�� ����L
-��9�3�y.� ���:a
�݁
�����= :���	���tp0��/�
�,�-3��4��̈q*D
�d��4EM�

���o�o��9��"Ld��v
-W8�
��(pą��#�u�B\�Ms�����
��ғ{l*|���
ڵKG�մG?4~Z�^�o�Sq?/�m��>�@�D�d�E	h��h��G��6we;�ik��|P8Tvxlj�L5c
�I�*�e0| P<��h�Q
Ԇ(����A���p��9iLGKTGw��'T�|��w&�M�~�(,���68������
��
Tg__Hp@�%
t�q�՟���~xȎ��3
Gf�,RNM}"��k͆�
��h�Na8��z��?
�#?��/Cp�)��I6������"�x�PX�YH�� ���INvBr�85�2���4�K�37��G7��j�dd�ixb�����d�M��g��b.fM��~��\���F�?0y���0��
��$�
���i���9��� \S���g0dG$�F�
-�#A���P�9:��x�AFHI�i�ư��cF��
-���
 ��;�khz�츍{8�{"5)�&�7�����I�I� �
��X�p@����CC��`�
-P��Kܢɯ��[�|���*�uI�EN���$�ќrE���@��3
���4������CE��-x�fH��v�.���)�ىE��
{[w�]Shy������qq�o�U���d]x�� ��b�����|�\Ms
�
g����\Q	H
��_ �I]I~FS�P;�
0�
yA?_�Q�>���z_=�
�;3�fr�� "骯Ӓ|u�	4$'�vf��i,K3~b�r��ĭ)�t4�g���
��
w��	���
��Q l�������F��
e:4}�,��T��A� ��|�F
~ޚ�>!k
-,��W��ha��\�Xb���p�m��
���jFt[k��)�9����/ '��&`4aY'�+��j��撀M1
��
~���2?T-�@9������{���]~Z�Cj��Y���u�`d���t��gNڀƢ�P̛>�
�&�
�a&_#���jJC-9�PՇ��!�pj�SY��uI�B�b��N�gz?�8�Iv�
�]%����7m[�
�&A�
�hz��{�&c�F�[��%e.�֐��t��N��#��R�7j+<�3G��{s7e7�l��ԁ����"�tC�I./�.ڎr'l@��@/C��s��U["|
,͐J��tߘ2�g(
-�3���
P���>�)ѵE=�iK
-��C�e�(��]qw"Nzv��
%&�&B�cT�5��2Ek����w�R��L���^�,���X��X+h���u�
�
��b�v�?������M�]
{{��3��
z~
�5��\b�~���h�։�@Ͻ� �
�������IV�l��6��ӠO}i���qɇkO*{n�
a?�A�O��y�\�

7XB��Zc�����fL	K6���e�m᪅�Gkc뜮L���6�i�>�
�T��� �Ku���GY3W�K����)
-��}4w�
-� �I��������{g�_�e��q�������%�0�ቫ���8���n㮜�u��Z������-�nE�
��{G4�rM����%�j��z���ա�H�Lb��Q
�`�����8��Vxϖ��4`�
3;��S�y�u�9��=�
-ES�P~8��&Qj_�3NA}�/�w�eN�Y,P�M�X$T��f��1`RGI �*�Ԅ�n�~�.t��t�2��
�g:���H��?G’\x(	��M)L7�׮2� �endstream
+x��ZY�#�~�_10H
X�ͳ�F��^ ��$A�̓Fj�*;�����
�ߞb��b��c�v
4��*��U�w��뷢���Z_\�/x͙0���-�<Z��z�0�U�����u�ǯ�JAfHŤh.j
��qѰ�q��v�Y�J
��C2�
��$«~6�
���<qOog��
3�ܫ����
~��]
���]>�q�u��	���΍��]���
+KE���n�q�'���o���LX���j]�&Z�̋�f�&r�(��
�r�p�ʳ���{�ϳ~����/`6g�5 at W1�
.:��bZɗ��2�ۜ}e�N�+�@�������m���,�S�6\�}�2��#�SJW�U��
ʗ@[ts#�0w8
+��ܐ�.�[��lê�A���_��v�o�(D-��
ӭQKf���R46�5�-3/�ȿ�)΀6�1�I&-'��6-��=F	ةEn"�i����[�d���QG%��,���n����Q�� h
�9oiI��
�-[���.y�0�8�/�P�y
���G1d�.�
w��+X�
��]��t0na,� C"�%g5�$�_y���M�Xd��w������9�/|�=:�:LJ����F���еP �䈃~w��[�;���@�@~��Q��Ad:�(4�<5ͥ�)�	S�O��~9������}��B2n�)�X��h*s4��r��Hb 4-���~t&�X��a�S�[5�N�����`\�%.�}�da�`)���
�B
A�Y���r~�c8�	?�
+ap�
+Ĥz��
m���B��,n�Y�-���2�ɑ��o����aN�9�HS��Yl�����8��Hi|jqr�&�
+�)Fz�
+�A@�l�{�
�qyP���-\���gԚ��%@�.7⿰��g-ܓ���*�����_��܅����a���"�}CV��G����cߖ�Dt�ёm�fZ�:\��p��T����	uO52!"�)i�:-�I-�:�:���`��������z���tAs�
�٘�X#Y#�AapU��I�Č`��a�2P�����d𳰭-2Z`�y��+b
JkfL�
�
J� �&u«ׁ�������ɖ�>�WV��~�"���)K���{���tK�C���=>+�I�
T�BF���%�e
�E�
���M��?�хD�٥�	?%�
��C��͡hl9̿.)���=z�
�Q at r
<�)i
o1��[�;��
+�86�1�j3L ���
�-���E��
+�(��d�kf'>4�{&ԯ �rATB���s-�w�m��R�<)�֬��  ��
������ �S
�M�Y
�P��ϑ�OьӍ��"$
��@M&%�rA�F��RG�c���
��&J�g��v{`��nO_��Ί���
"u���e�@R�&����,�
�U.��f�
p���8�E��l_&�
��o_�����P����k�c��P����~��?�a����$h�0ۘ hs���qn#�a�
�a>*�'
�e֎���
+��(HN�l�F����q��?��{�<ߤƇ��Iɹ�Zl y� ���X��<
�)H�*a�y�p���!
���zx�ED�2�l_4��d�
��E�T�ީ�����*6gEJY���Y[���$���,SRr2P!}�����(�߄�&�=�)���?��
���{C[���v=����ⓡ
 1�~&���������\��_g�w|���]y|�B��=q�>:7���iKإ���j
$���;D0n�M��LEŠ��|n�6#�UNE�8��LJ��T��}c	��]
tDk�b� ���m͸1/��-�cJ[U�����[�i��-��_0/��]� mύ
%���v�>J�L8xN{Pv1ꏀt���H�
���2����!��"$���;m$]“?��/���te썳`^�HѰ�=�_P�6倱���q�_�Ҩ%�����S�at~�'�Å�����������ƻ��&�bx]�CGLS0��f�恡�_ s��<oJ�ua�y�*������
���P�{~
+�HA�>:��'Z~��������TI�0����*�c��>�"uS�f��E���2��}
t~:�L�е(�᯲5��i���E��
�e�a�&�wYk�������̹��X�t$r��K�I��#�o~}����@�Ƙ�!�5/� .
�%?�I�;�����XC�9�!�[B����
��f��l1M���`K`{C�lvPvK?Ɉ_8�a�������|I�ր&�𼈥�,�ڲ
/�0n�[�H�.���/S���7Pv&P1����%���U�9�S�`~�'�s���t��2;bSO��-�\�����
<
 Hc�w2m~wJ3�D�3C����Bc֔��H�S �:D��)�a�����z�X�.O�s����L���7�
l�
]�n�J�pY���cF2��@��<3aR5��s�cj�M�Y�8��
�Rɽ-�L��b}����$�����YQh���
�o�������pb:n�9����
e֌��}<�S��f�P�hv=wƚ�Zd�n�1�*Z���8N��W�'�۔B�N�}�����
+D�>eK�jU�ꤳ���E at c���� �C���J���ٱ ~���J��
+d� s��ߵ���R��~�^}���>dendstream
 endobj
-2908 0 obj <<
+3171 0 obj <<
 /Type /Page
-/Contents 2909 0 R
-/Resources 2907 0 R
+/Contents 3172 0 R
+/Resources 3170 0 R
 /MediaBox [0 0 612 792]
-/Parent 2877 0 R
+/Parent 3157 0 R
 >> endobj
-2910 0 obj <<
-/D [2908 0 R /XYZ 72 720 null]
+3173 0 obj <<
+/D [3171 0 R /XYZ 72 720 null]
 >> endobj
-2911 0 obj <<
-/D [2908 0 R /XYZ 72 352.322 null]
+3174 0 obj <<
+/D [3171 0 R /XYZ 72 606.338 null]
 >> endobj
-2907 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+3170 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F53 1695 0 R /F114 560 0 R /F126 638 0 R /F149 920 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2914 0 obj <<
-/Length 2420      
+3177 0 obj <<
+/Length 1476      
 /Filter /FlateDecode
 >>
 stream
-x��YKsܸ��W�R9p�4X|���Av�$�֮���V%ʁb$�
rLrdy�ϧ EJP�8�M.
<�F?�n`^]���M^
I)�,;��B+izT�Z�)���~]����o��L���G1�bV2j,|�E
�j��R�lU.E&K���j�&Y4ޘ�:QEd��a�f
�0+�l�jg�i�!Q�X�p�:��[HL\2�F���0��i@�R�4���p��
-)�";Z+%�Xᥒq���8s�ެ���n�
D/`�� ��v���3|/�,����]�J�B*�c����VQgW���!�"et���j3�d~
X�89���Y>�6
�4[�l��-ЎC@�"Z%�N��9;�?�W=ZmgF�㈊�0�
y�>0�'l[
�a2�`{���g�����hj�F���U_3����_S	�cY˹2��k���D�Δ	]xs�oWY�ŃEvV��:�E������S�&��IR
-�тb6��P��f(u!JX�|
�
-�Ɔ�G
��
�*p0������58!S���q�B,��ౌ�X$�߄���w��n˸�i�p
	#` 
o�vcH�A=J���,�V��v���f��P�W%�PK��.�Fy�j�`*�X�:�z0�MS���b�S�����!5��I*�Ļtw���\�Eh�+H
Y�������vg��p�ϡ:C����������g�F�Í��� 
)F?�1��J$R�	 j
Z�,�����F$%g#��:�bor�]�̸A
�K`]�;
-&���B�v�;��� 6u$�cO�E!Ԥ�{_}�х�=�]��̔���j0���~k�����Doxf����hEȑd��X˯��%s D�E��
u�p�ئ�j\����%�C�
hB)�EuI
-!�L��h
E��H��Q�>����m(T�

x�G�����<U${��:��3�<�tpmo��L�]�:���^�2
1���,P�A3M�g�:�-�4��+[��v��ϰC����X��0UU5��{S[6 v ����=D}j�hK`��i�J��^
\,��m�z�=5�d�Qr��I3y�-X	Za0A�N�ʆ W$��4A�A*���
���c8_
'���j
E���ȝ ���]
�m˿T0;nO�V.�����<괚Ƀ+
f4E
#�܄|�\0��	�J���˻p�g^CSI�`���'Ԗ_Rs�􋡦��o�d�k� �&�(�������'�g�x���ʉk���9:���؛j�N>8��K^EeqJEj�NqIm\�9mݍ�J'���"�7][[Uð������v$\m���4��2PwHf����)P��C����xH=�c$C��{��!�P��-:n��yn
"�o���R���5f	�_{*��>��
b�g���/�<:z�rb��
\ՇS��a� 
-
�ӽd��5Gϓ�Ɖ
+o��σ׆9���~�Mc�͂��
��i���-�@e�x"^��+�]�x�T'Rߨ�oW����c���w��WYm��
-������GML�	����#UB
�a�?]�~Z��0��D�iVD?
��a�����(&�x��
�;
6�WЍ���"v/-���*Q��
�ϺU��=[5-dt��7p��a
���ѿ�0�';޸���5-Q�t��4��������%�_�
-X3}C�y��M�Mnf�k�*��fOj�|���� �a0������O��{�nx
-c��fo��(F�]�tJ��#�У�޽#^7�
ʆ�ɗR��+ud�%��Pn>?}�^<u
�oft���|���4ܫ�^dt�y}hX�7�bY.T��7����ߛ]��(�,a�.�0�����+�K(�i@����{���J���9?�!�aw��
��#����6��E�)7<��Pȵ[�&����
O����6���G
-�C5<�3���It"�Wq�b�Ʃ3�#��IzJo]m�3P�ox�`~�����X,�j��ϯ��_c��	���ă*�=�%��Y�~ʎ��^u:�w�p�� ܔ��O��v���
���d3xA����v�i�&2��u�|���7~�dq�
�
-�|a��j��� ���m׻ѭ����ul����q�=�z+��=�ɲ�WH\&��^5�	�
�xco1�����s��Ӿ��S�X�ʶ�J��>�6����-hx��ہ���9�m�.r�>x}�}Be�J���%������
�G�<�ck]I<�o:��E�b 5Oc*����i�~<���h@�Yg�ڡ����t���m7[�?\�3:��gl �9z�
����e[���
�8w9�^�V�7vX�f�>(�9��-1Vs����F�
-G(dQ����+�Pp%��{�=7�_ʘ�u��Ê/���/�ʺ�.%Hp�g}z���B�{k]ؼ�#�?ª��!��^�x:�T��;�����Rq!���?�$?!�
HK�~qz��L�3�endstream
+x��WKs�F��Wl�r�*A``x�&m�8�䨼JR�(IJZʫE^X=�>�$d��C�23�=��u=
_���0�ga��Z�.V��q��� ���;_�.ށ�JlA��T����N
Ϗ��t���T�ܱ�[��� ����t֤�Ea�h��U�����e�Z��a���,_}�T�~�z`�*5E&P�2�np�E;
�.�0B%�_5�@+�3N�2{�p�!����=	0z]����į�3_��^�4�!��r,LB74DQ�ˆ���7����0�c��0����P�!TY�
+�(�2�*^
�f�`���qd�6��a�I�I��5�&�d��N3�mE|�
Z��w2�k'�
f�R`����
+̹�R�C+m+�ĕg��x�
+p�� ��+^}@�Y����T�g��j=N�
+�~d�Ւa9lA���>���f� �x%•���a$��eh�s?SI�͏�zk�<��r&
'�����$V��+M���&
>�,f8$�*�U�3�$�i��\;���
�3��-_qz��=]q
�.
�H�ȃ�0
�߁�j��S��0�8#u�,��!�q9Gx��M]�
+�-���ۮ.[
���ߔ��H�0��8�d���(��$
�'6�|k2
'<����k򋀈]��4�Rf�=F	0mt��.)ɋ۔�-Z'��
f�����4�S5�y�IV�
1Ȫ��
S
��~e��t�x.^�ԍ�o��3?2!
gbC��}s�U_�
x\~|yo�3��
O(��+�#q��Pq�S0���r��8�����Љ�T8J
+�*�dx�YA3�&yO&����a�k���~�Ų$Ё��"=�=
].y�r�4 ɓ8�*
�ξz�>ȭ
���|FC�t�Hk���hw��ߤbT7T��G�iNF��*�6��R1�z�/�gL��t#��(s�|����ئ.O���2�p�o퍹]tg�h1w������Sh���"�(u��Y��8{{����v�n$�
�#�;�	oH�dL����'m�Iczn�b����g�����fO�]`w�nV���5R�Y\4��ع� m
�QE��
��W�J-�~�1�.,��K�gi9\
mu7H<���!� uڳ�N3��yޝ��@�O�"���G~
� ϩ=V����
u(����n��������MQo��5Kc��o�zSt"�A���67 �.�m�I�	�1N"�b��Qɂ�&��9�;jYu��V%���VV�+˥!]�X��V
�FPi�o�EJ�
P�m�rC��[���$w�_��fl��U_i��nG�\<����4kM;�;..X� [...]
��V�S�M(4�n�&Ņ�
5(��ͦ`�7Cb�@�xy�޾�

uo��߭/�Q�ҩl��&r���2��<�ڛPL
�E����A)\T�k�B������ћ��7�oY$�endstream
 endobj
-2913 0 obj <<
+3176 0 obj <<
 /Type /Page
-/Contents 2914 0 R
-/Resources 2912 0 R
+/Contents 3177 0 R
+/Resources 3175 0 R
 /MediaBox [0 0 612 792]
-/Parent 2877 0 R
-/Annots [ 2917 0 R 2918 0 R 2919 0 R ]
+/Parent 3157 0 R
+/Annots [ 3180 0 R 3181 0 R 3182 0 R ]
 >> endobj
-2917 0 obj <<
+3180 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [483.404 281.313 540.996 294.264]
+/Rect [483.472 525.058 540.996 538.001]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2918 0 obj <<
+3181 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [71.004 266.535 129.246 280.482]
+/Rect [71.004 510.277 129.173 524.111]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2919 0 obj <<
+3182 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [135.708 266.535 161.112 280.482]
+/Rect [135.621 510.277 160.998 524.111]
 /Subtype /Link
 /A << /S /GoTo /D (cite.McCNel89) >>
 >> endobj
-2915 0 obj <<
-/D [2913 0 R /XYZ 72 720 null]
+3178 0 obj <<
+/D [3176 0 R /XYZ 72 720 null]
 >> endobj
-2916 0 obj <<
-/D [2913 0 R /XYZ 72 368.119 null]
+3179 0 obj <<
+/D [3176 0 R /XYZ 72 620.862 null]
 >> endobj
-2912 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R /F32 668 0 R /F79 926 0 R /F51 1171 0 R /F76 747 0 R >>
+3175 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2922 0 obj <<
-/Length 2179      
+3185 0 obj <<
+/Length 2127      
 /Filter /FlateDecode
 >>
 stream
-xڭX[o�D~�_Q!!
�
3�҂v�E[$���N3�c�i�}�sn�ة{Yċ=�3���̷���x'g&Q���.�g���T�z����S��]~���D�ǁ
-S�L��]�l���q�|�C��wr�1�2q(��\,#��oq�"0�a�^�X�^�c�b$��378�ux�
�B+�a�-;� 
Б~
�,�#�&IU
�gK?V~����� 6^����C��P
h��h2;�u��f���EYq߮O5W]��.���{K�v�۲���S�ٷ��(w at 3�ʺ(kd��q&��
6^U�����ȝ�"��j�&T!��2[I�ђ��W$A��D�<%�gk�#��+����!4�or�e}�V{�W�[[_s;�ߟڄ�e�
9����)=�i[*@F�y����֑�9Y�dJg޾C�0���ע&��r�ʫ�]�.���a
�`�E���u�����f
܅~�]����x,���v��^V��tW�M#4�$4,.��ns��dH0�oNDd�N� �H̲���r�D`z0f|��T
�q�
 
e&��P��������վΛ��o�@&�>(Tʾ��W�Yb3�> 8+����������f���t�snl�^�����S�������
�� [...]
�;�/t�k��[4�~K^T�^���f�ԶGZ�
�Ļ�1����[�_��&�����t�*$��:�Zg����3��V�#I9W��d�E������#��#_
�aA<J\����.����얀xL�%Q����’��rmA�O)E���UOYv�ߠ+hĦF���-Cȇ&ե/V�vT��Pk@(B�Qk#
��A5��պw��mm%��t 
hր'�� �90�G���<��S
�

�uM)(�i���'��>�;D�
�q�
2Pj狀:�
���Ì(~�,
^&K"˖��8*�x�
��n1�:�1�-�bG�N HrC�nE����
=J��D�!�1�F�� 0}T�^F J3K#���6UQ��e�֮g�G'�Naomg���9�:�
���v�7�e�YtYҔog�$�s��¡3��,��hc��� 8� �e�":�<
ʡ��h�������}��Q�V���A��
�,�2��H�e%�v������
������
F��8�`���h�H4X��4�nf��U�p����p�;��������n�J����nr_0���}��:.
K�rc�[W�.�f w�v�qR,��
�8'K�H����*�{D>�|W��h�
�8�-zg
™+Zn�*w}^���潴(P��ʔ�6�!\y#�Ꚍ��7�����Uo�u���s�!�Mtם�
ZU2)b�\ɰ�o8DVSɬg��.�)����B���e3��i�ĥcq�\�P|������K⦛��0Pz|�Mz���0�><)6����5���=|���OZ%���
�w�AZ�.�\��~}�\&:gr
S����t��
@\�nE�owb
G [...]
-��7��˯M��<W~��T.�
��2aF��`�Ra2	@,m�.k��ȹ�a�r�
�=�K�iՑf*1Έ?������C����
�

��c��T
���x�{�m%fb���2�Ķ)�ը�XF/�˗�
-�FWN�ѭ�u��4�ldC�R
ml{
-�~��T@�qx�فl�ǩ��REⰔ_T��W��+!�����h��F�#��RsH�8|g�VD
-��R����{�%�d�I�'��9L�<!I��z��Ľ�
�M̓
I�3�2��y	I
0FB�04�5�����!͟3�c�d��~,(4���X$@
�`ZC?�ä�u)�%�PQ����8D,�`���l�n���$
"����g	�-d�J�
;\XN�����,��ph��`��F��<��=h���x����)��� C�r~���z��.)$�{��
4;�oɤr�8���)���e
A�h�/�~�,oF��7�2�\RN�ݧ��?�"T��,��'7�;[U^/Fx@��
~P.X�Q��Nv�h����Q����I!3.�4�dX�ǐ���O\�������'endstream
+xڵY�o���B(P􄊗}�+h$A
��S�Q�q?�ȣM�z�GKV?�o��n�\R��~8��vvfvv�73��/_|���pf�����ryV���Թ	0Z���s�9xr����}�wX�J���y����w at u
�
+�^

��+xZx
��h�9N���ȍ�����Yh��{Z�
,�?]/BZb>�U��Ɖ�p�ӽ��%���@Aj�d�MAZ�lU硲g3W�lH�_���!�ª��	�>w�(��Ra�䍂��R���5
AD���5E�eBPAKш}���ϋ�L��l7G�oG>�箦�G҅Đ�;���*� �
�7��(~=n}�L��z9[8ę
y%�O�6ѢB��rŚlx.��+��q}�&��q�U��Q*[J�#��<Z/��A�;�jy�[c|��b<su��磤9��x>x�]~>+�2�

aSn 
V�(z�Vl �{������i��nI�x@�m�(?0��n+�GB�ڭ��Ĝ�V�¸�h�k
+�YpM��vB����>
f��f�(�
f
�L4Xu���~,��x�|T�m'�
+7<(��
~�� �]���>�ۀ+ �������H,<��6AV/rU��[p ��E\��-��p���≽5���1���_�1��u�������Y

��7��O�.υ~K�D�B�^;a~-���;9�B�ӓ��E��8�fߪ	Q�՟$*��1Qu��OG�9�[ߡ��ݐ���	�O8���
3�$N��sĀq.#D�I��F#7f�w���	n;�[~�VnU� �]ٯ"�����=��"�G}���K(<�v
+�jj�WgM*
+�2��%W*]�
2���˼��a,f�?��\1`վ�W;f�	Y0���~	���$!��\���E���a<��]Ĕ����iي�"e��%Ƕ�Q��㘅:/� Ҝ~ �9s�y� �_Q�sx��qj)�b��|�y�sM
>����>�����&���Y�wK���
J�i]�F���aju8�F �I" �%u���pM���J�/	C��CWR=�U��S�����P�"[n��l�E�93 ��r�z �O|/�^������\C9
+����c"�%u��N��:/R��~��@���# �v���
+9<��iqG,����o*�������}i�'��F���ȓp����(N�=
yES�R̓
+�:0ME%];����!H/��?ҥ?��l#�(��I�#��s�Y�h���*�x�\U�n�|�\Sp��ꐕ�SV
+���}Hر�C
���} �"M1���
+]B����k��G5Vc�>i����rli�u��Jma��R���v3�vS &q�8u�̉����5e*��T��F�n�_���I��g��^@A��| ����q�4�N��"Zf��P���\�V��N�=!��U�1(_r��!�{&\1��:�ǽ�<��bT�im���S��
]P�s��������`�^z�����4�)
��mP��ӻrM�8�K��&"�K��.��`��c��7y墾9s��@�̛.��x~=�V�Ũ���k��N���`�I	 |�,+�U1���ծ	�3'E�[��g�˱k��ۂ�oO}����6���sҾ�9̓���.���x�+ ��;ju�
�N��Dc
�Z�������h���!��e�����&V��|Z��M^5���gr�D
+�K�h��X4
H
�ΣV�X#Z�,by��8�2"����2���>d,�Y[�5\�2�����[\�˟V�W�MLO������nޔY?]4I���	�y"���(�܁��U&�� B�n��-
�+��㠀ITXH�0r�q��:��]t�w���J#�\t��5n�
�up.����{х��ӕ�o�!��_:A�#��
�Q��
+/
v�����B�m�w�r䢜c�m��5<��
��=ս�fDi��b����
�G�!]Q�$

��]���:
�^�oR�:��c2O��:`����tB���'�
Mn��<�2�M����@�vl���5~��f�{͓m%Mr�����u����<�����ז5��-�m�a�E��ۧ

�K'�CU.9�z�d�ܓ�8G���F;�
�K5�N��0|�N��U�nb2=�M�7%�[YRŀ�������_�x����Y�endstream
 endobj
-2921 0 obj <<
+3184 0 obj <<
 /Type /Page
-/Contents 2922 0 R
-/Resources 2920 0 R
+/Contents 3185 0 R
+/Resources 3183 0 R
 /MediaBox [0 0 612 792]
-/Parent 2927 0 R
-/Annots [ 2924 0 R ]
+/Parent 3157 0 R
+/Annots [ 3187 0 R ]
 >> endobj
-2924 0 obj <<
+3187 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [165.692 637.426 194.348 647.721]
+/Rect [165.568 637.442 194.185 647.665]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.28) >>
+/A << /S /GoTo /D (section.12.21) >>
 >> endobj
-2923 0 obj <<
-/D [2921 0 R /XYZ 72 720 null]
+3186 0 obj <<
+/D [3184 0 R /XYZ 72 720 null]
 >> endobj
-442 0 obj <<
-/D [2921 0 R /XYZ 72 720 null]
+438 0 obj <<
+/D [3184 0 R /XYZ 72 720 null]
 >> endobj
-2925 0 obj <<
-/D [2921 0 R /XYZ 72 597.202 null]
+3188 0 obj <<
+/D [3184 0 R /XYZ 72 597.255 null]
 >> endobj
-2926 0 obj <<
-/D [2921 0 R /XYZ 72 514.969 null]
+3189 0 obj <<
+/D [3184 0 R /XYZ 72 515.054 null]
 >> endobj
-2920 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+3183 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2930 0 obj <<
-/Length 2147      
-/Filter /FlateDecode
->>
-stream
-x��XK�����W
�
HDd�~I i�<
0�5$ʁrfq�1��=������r��ٓ�
�ݬ�������o��4�������v��r7N6���^D
��ρ�������!�R/�xL�A)�dN��)�;�I��:��o�]o;QӬ��Cݵ:-�c_
��R��PF�x�dek;���N�X��=?��Uk�5o�(���
Ċ	�S!|����WVG
7��7�~�b�
y�
�VG/���E	_���U
��	C��g�2�����!9,�t��
ɟZ�$>t�+ʗ�Hr�����aX�k ��j�ޥ�$���ݒ��+�[�etr1��;;&]5���[�y�;�
mo����dI2bR��A�

�,
�M6��M##��L��48���
��
���ǚ�e�+�fT�TDw���Po!�a�FMU� �\��ѻ>�zHt"q31�1]| �8��2f�oVHS�e�4T��@pS���
�Am�5�j���0i��x�w�:�d���O74��	R�� ޭ|��<��<�
3v6���X�|u�u廷�0J�#'�IQ�qB��S	
7Ln�>�*
��U��VD!���Wl�IՖ��p覦�8#>�6��A�[���T��Sy���0���
C�V�" �)�=|^�e@жz
d0�F��A��z9�}��+)�I�z�C{
-�~jۺ%lp�!��Ɖ�g�<���J{��KF��<0�����ރcH0
��9+Y8W����N�M��q{q�A��
l���{F�0qs��
�A����:�E��h۵�Uy٠캦aKޫ\x����*W�F�ՖpXC��a�}��q���k�����a
�����O�IMn�g�N�{��
���K��+�~4x�R71r�Q���ȍ�P9�a

�obS� ��}�R8�
��]>��<�/I9�=�
���
��
_Y��N
-�k��0BmA�3�
�h4\8L���
ؼ5HKd�h���GZ˖Y��td���,�qh�IX/�͘"��[��^4�`j��A(�|WAؖ2F
-�܄�J�?:
�}臋�,�^�Y��m��U�RsKу�f��Ptb�m�W��sD](��
�I�	�8��Qiuјri��|���/;����b�V�D�S��T�.��
-;�\�6.^�l	f0b�EQ_O��'�_�	��o��k��|�I�+�y<�*��O�h����.�
-�P&�9�j�W�9�y~�-�H�G�/]ʪ)���87�aX7\n6�Y%�"�ū��
��C�E3t-�r_�I�z��X�'N�\G�D���)�s������"
�3�J��
-�#F�$T

au,�u�

-����;"��-+�JpA��s��I58�u�H
0P�H��0-���z[k�b&��H7��W쟌V��M�
�5(��q��p
�
��^�J
�?,�>Gs��1Z�h�*0'�`{��V�O!#�����&�,�~�!5ͣ'ə��P[��dҰB�B?
L��'n�,L0˼�8��M텗
-��P�+Sl�#�}k�{.�qB�X%�E��ڌ�v}wT��,\	
׮ĬLv_�3�)�ܢy0
��0�q����(Ԃf�}

G{�}��y�$����
�X�K�{ЫGr�^K)k(�ݑ���ŬSB�i[΅��L�
-��c$���ĉ�h�e ����+L�ԡQ�����o+
	9�o����V"�&�).�p
z<�Dz��#.��
-P{ʓ|%u� \X��=T�z����(vc/^0{_����%MMC����2�&�{N���ě�|�����E1
i&W��yo�aK�KM���{�r\N�KV{&��0'�еn}'
-s7���xy�31Z�z>�J����F/Iz���,��D-�
�����D�a��9{����xj�Š��z����������DrH �$P��<^V��9pAWZ�IL
�YdrN
�P��Vl�qt
-����XQwh%6pM��
-�g
���Q*ȋd� �~�5���
3��՞3�|��l��)=����e���o��Zz�L
�r�]A.Ujn�+J�vj�ٟ�O���zd�
��h?�B���� �}�
�(/��
�B]�؉S��/���^��%���Ϸ�{+���e��q��ė�YϾ��z���
�
�?��O_(�c7|�*��OR"g�7o��
-<5�endstream
+3192 0 obj <<
+/Length 2109      
+/Filter /FlateDecode
+>>
+stream
+x��]o�6�"�`c�&Q%ۀ6辀Ðb��=8��d��̊�&����Q�>l'(�=�����x�~s����S]��i\������ܜI'&L>�4��y�3@*�A�W��'�z3M'
�|t��aL0���)��
�nṂgc�#���z�
���q����x�+�ş-�.=<8�k4�o��2��C������T`���jR���Xg����v|�V0W��o~>��I�����!
u�l�T�Z+��Y��`0��
h���9¼i?�����,N�8'al	/	,�5.�����X����9���+F��O|�(
�E��k �Zػi�O|�$�»����Jh�?�]Z�O�����.7ۛ�fyØ�H�����~�q�Ƴo<9tU�$�y�XV�3��5ˊ�d�jRN�/��9^���E=c!!8P�J���O�p���N�Ԑ�Rz��$R:�R{���5�^�nd��|3t1|Q `o����G��R���!�e�XW��ɔD�t����{�0+$^z�0�9
�>p��I�
�QH�ʓKM<^1������{��YJ�wT��4�0ei�f�=����R0�L��\X
���:(�9����*��&\�l
�G�p+�\��f��MՄ���GD���;<��W�pU��(%G֞w!V�D*����)��L�8�Ʒ�s����^�}�mi�;���傂�L�q���&��J�꣧�W�5+���<.�BtN���<X*Z�xh-x��%N;��f�Ґ��E\���
3qk��!2�FR�^*OB���,�H�\�f�L�o���C��5?V��F�~pP�
+�sT��hـE�f��fi7"���Tk;ۼb�XZ`�"V�8>�`)���#��iڣ�o��7��ic��6?���x~�
m��U	�Y�fh��&?���j�x�N�R���M���=
�q�4F�����r����nv��4�� ӄh;���cn��t�q�7�A{�
Ӝ
���13g1v��ٚQ��=F=:�F�}wh�
+��u�'k��^��þ\h�f"6�V�x����C֘��Հ#uV����X;b��;}!2�~���,bǝ�ؖ69P�j�sK[}s��<��E�3(�0A���Bi�H
+g�R��P{��#��{��!�gj8���h�\:�W�
Q��UW�B�X���4\=Xu�2��μ��7��O��ֈI ڢ�|]�i6-Î�⹩�2��}˽�~� ���R
k$N�y ��ڪ���͏G ���jM�\{�ҌfV�e\x��2�k��q�䕙��)��(�
M��E��&:Pd~[�dnw`������.��a�Y+��iv��3(�gm�۩�G
��
�_66 at i�q������sF7��ܔ#�p&6Y�F8���
��_�l���r�M+u�d�N)���w�'�f
�ǻ1
3f�kh�o�E;
��p�j��9�m�$Γ#cV���R"͊�]
r:���A�ArcjϥѨ� �=xm
�>�Ʒ�;�)2�}�_�m�娈��g�0�d��˃B[���n�<�+�;?lJ��Y:s�@k���@��]nE)?��k'�]��I3���w]�|�0c{�l���@�
U�u2ء�"��x��z����u��j9؊�w-I�I��81i�����d1d�L�hC
kX��^X=�sG��&fe��~�Ǯ���g�ſ5F[�*��4�[�O�(
�@�]�]7g��0]�'䉙�8!Y�V��r��E:��B��0B�3�� �pR����0v��s��9ݕ
9�^�w���B;5�IZo?yu��59���j0�}&G��
e5y3��pN$�X�2(J�*
�R{-Z��w�?z���'8�<t�M���~*l�c�F��w�s*��g
jx�f�֍)#�9���bo?���8���4V�.\�m::��k/t�R��%�h:c�����a����\�8 �H�&�t�+���i�����*b�կyӊ ���m'}�[�_�Kr�
��K��nݙ���^_
��iX^���r ��
+m?�:��xH���;Ϲ��k e�M)���c�צ̵�Ώ}���-��
[�ϕg>��=�&
���������ei�U�^��!ċ�g/�?��endstream
 endobj
-2929 0 obj <<
+3191 0 obj <<
 /Type /Page
-/Contents 2930 0 R
-/Resources 2928 0 R
+/Contents 3192 0 R
+/Resources 3190 0 R
 /MediaBox [0 0 612 792]
-/Parent 2927 0 R
+/Parent 3157 0 R
 >> endobj
-2931 0 obj <<
-/D [2929 0 R /XYZ 72 720 null]
+3193 0 obj <<
+/D [3191 0 R /XYZ 72 720 null]
 >> endobj
-2932 0 obj <<
-/D [2929 0 R /XYZ 72 599.078 null]
+3194 0 obj <<
+/D [3191 0 R /XYZ 72 599.23 null]
 >> endobj
-2933 0 obj <<
-/D [2929 0 R /XYZ 72 239.884 null]
+3195 0 obj <<
+/D [3191 0 R /XYZ 72 240.41 null]
 >> endobj
-2934 0 obj <<
-/D [2929 0 R /XYZ 72 244.865 null]
+3196 0 obj <<
+/D [3191 0 R /XYZ 72 245.375 null]
 >> endobj
-2928 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F79 926 0 R >>
+3190 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2937 0 obj <<
-/Length 1702      
+3199 0 obj <<
+/Length 1619      
 /Filter /FlateDecode
 >>
 stream
-xڵXK��6
��W���=3�Kۦ��ɡ�v:ӽt�=he���Z�Jr�ͯ/��L��}dӋ
�����_�z���3J��rv��ь��Y��$0��{��V�
V̯M�Y,9��u����+��������L���M�µ_,�|�S�S�^-� �qd�R����w;�ۙ/��a�?�~0�
-ui����?���Xd���l�r�2a}�q��T�7�|��8����w��
�_p�ݣ��5>�5\�.���
~�A��A4A"�MlQ�z�?��P�z@��.d��
\��
j�p
^���ky�
~z�F��}
-�b�<����e�?�0�����r^��O�g3~?���4�TC묇�b�Q]�- f���v�7^W�����ԝ
���
-�#p��o?��% b�i:�IEGmR��C��v�������O��[bac�v����
�Ӿ�\$;�9�|~k
��AڌaƊ�
������n�+�&.���%��#��)d%	eK�2�Y����X��|� jw��~��qpR�&i�A�t�����|6Q���E0�X�RE��Tr��t�O���2��2
&�> a��Ӡ9r��#;��)G��d�8H�U�VNq�:��X�x����:���s�����v�ph��=_[u� �ѡ�jjĒ���uK����i
-�`pڵ��
--o����z�u�P�c����
|:v�D��~�
߉@�4S�'w
�]uxSx��cX���}?���P[H����d�C�	�婓��o�$Vf�"'�3
�^�.�o�M翞$؄$�"&	���i����T����B�7gz#4w�Ձ`U$�2�
-�	�/' 鬀Q���B1X�
@M�NAX�gG��z���h��fek�с�7��v��B��V�+�w�8��{��}7�e�n�n�@�+�����M㴭B�)'L]Q�YJr���d4K��0M.���@[,��r�Ez`���m�
K���#-0$��
I;�p^z-Ɠ��L��'5x�K`�#H,�F�3��Y�
-'
4
�.3�

"9���5}ߺ�?uP0R�a���	�J�<�Sp���|�B��
a
�:�NE����9��[4!o����+���Yś��8f�]ق��b�Ӱ=Kv]9wYJ}S����7�-4=&^ ZN�����d�� pglv�y�����g�	�S�a8$l璥l�$*�_i��<
�+�U<�*��S'���6o\
A
�n�o�x�^"˟�TB��aU�)�dD�{�k�g<��2u����i�_��s�3��D��8��T&
*I6R-e��2�21f*�Lx�4���hm�y!	�Ce���n]��ym��w}���"wt�M��-4�.}��*f=�L�_ �?
;Z�'��$T���#X�v3t��ޤ;#9
����noN����.��G;���^��J��R�#A 8
�
;.+$�� ���2��쫤�1�}�ɋ�{���
-�:y~ϯ�dNd���'X��k	a���,���
m9K��a� � r��v����`p�$8�=E/�7h%��Vq���ܻ-D��l����ȰM9K�5�%{��J>@�`��
�
�h��(�1���I|J�/I|��G��y�(6 ��c�e,�5#2{(LK�`pJ���ӵ��?S�O�1:8����_���;���Yuv��S�i�Z���Й�����ɂn#��о�YaO���Շ�W��s�.endstream
+x��XKs�6��W�Ѓ4!x@_O�C��t��t�
�r8�-W�'��
`$$?��=@�H`w���K���xu�=c�X�fg����F�45�Jxt�����Rq1�\�y
�=^�������X�p��p����0�`�a|c����
��w����A
[�y��Ζ\mMn�[\ѡ!���?2L��P�W���ه���z�~�c�wĐ(��)�Yܔ*~s��qE�f].�����
���+����E3�l�~�[`���{���5+��B��dx)�y�
���ºRU7��W蔨�X-����2�����2��Oa�p��ħ��p�
�iqo���)�	����˜X�/
|
��x�����]>�����A�f�_Wa�],QT��v	Q�"���߿�\�߄���(�t���&�P�XӀ��w�xL�)(�\�R�z)�%����Y���cU�;��#���Q�/�
������_7�`�-�$V؂����>)O��.������)!�܂5���c�
W)��u��<Z�ĭ����	��^7��ް ���R!!����@���
掻]G��e�U&J�2�D	q]惃�+y�6���
vbpd>;d� K�}0�����
�o�C�#٢�an�4�t?��H�w��R�HH�OM�Ӊz0���v⹡ `*�N�1A<a���c��d��]�)F�ӈԗ�i��̿�8�
^���3W
�꙼�
�fL��ͭ���P��^��.]����:�]p�T((?��ϦqJ��E��0A�&�mf
`�a�p~JWQ�	��?�)�c�L<������B �6�G�k��B 1���PQP���^ߕm�]��Yu[�
�����1�)k���
�p�R�5X����M�9g��Y��4�s�
+��X�(�+��~�](:_�]��n
�?�����_nڛ}U'�P�9�rܬa��?*% ,�)g�(�İ*7H!eW�TT��2��ݿ.����7�os�+91���x�*�nJ 0԰�Pd�x�4�#�m(����h�>�$��f�ϙ�F;��v5�櫔z�?�bw� ��A֦�z(K��E=���߷׫'FC8S�!�)������
C�G\k�[`��Q
F���/���FU��
i �z���)�]O�z�
�G�8V���dE�ˈ�z�}�J��gj��i
���;��Md�G��ƇA����D����L��l�fN��
�!��[
��.pb�@�՘�;!�Q&=:B�@�YW���P[[P�8�~ 
���C���z����jbEݤ]��ѐ��A��г٩1��1;E}e��-O6��.'
���%�v�w�&I,�R3�bL&a�,�F���Z�vZ#9m�liIc$6�~�;꓁�u��h�s�7@������*I�xԒ9��ٕ�l�JgVH��!�~�e����B�p
6J���@�y;�(�
C�`���K2��Pk�lB5�Eڲ���F��Y���ڍ$c�M-N>ƙ}�9N�
��}*�ǜG[u��
�D{'? �Y�\��J��R��;�)�)��ω���k�Rp�UP�-z��L܏�y�3�����a�?�G�h:��N���Q����t	u�Ky�w���)H8��
+��^��$%��nax�|����?�xQ`endstream
 endobj
-2936 0 obj <<
+3198 0 obj <<
 /Type /Page
-/Contents 2937 0 R
-/Resources 2935 0 R
+/Contents 3199 0 R
+/Resources 3197 0 R
 /MediaBox [0 0 612 792]
-/Parent 2927 0 R
+/Parent 3203 0 R
 >> endobj
-2938 0 obj <<
-/D [2936 0 R /XYZ 72 720 null]
+3200 0 obj <<
+/D [3198 0 R /XYZ 72 720 null]
 >> endobj
-2939 0 obj <<
-/D [2936 0 R /XYZ 72 509.353 null]
+3201 0 obj <<
+/D [3198 0 R /XYZ 72 506.056 null]
 >> endobj
-2940 0 obj <<
-/D [2936 0 R /XYZ 72 356.179 null]
+3202 0 obj <<
+/D [3198 0 R /XYZ 72 346.05 null]
 >> endobj
-2935 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F35 1440 0 R /F48 554 0 R /F54 1447 0 R >>
+3197 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F38 1435 0 R /F69 550 0 R /F75 1442 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2943 0 obj <<
-/Length 2278      
+3206 0 obj <<
+/Length 2206      
 /Filter /FlateDecode
 >>
 stream
-x��ZK��6��WA20fėD�n_�� 	$�6���Am�n��Hr?氿}�X�,�Դ'=�����KE��+����}�:�眳D���f
�y
*��?�r!y�.x��?Y�X�Xt6���_�-�<���]�����ױP�1��|)�#+xH
E4\�Y
�yh���M)� {�/���j�5
�/���`�$��m�
�8
�L���=wK���d�܊/=4"�5w�ٽ��HA�pNG�T55ڎ�����7
J
�%M��E&�YAC��I�UZ����NC�MU�B��!/�W�C
���H�O�T��9��0�0EG>B%Ŵ�X����"�4��X�����'̐EZ��)b\{H�����K��5���%1mf�%U"�ܳc&,�k�qǘ������T�D
+���#-|{�h0i�`�!W�#�L�|(�+�o
��f!7##���h6�3������qU�fu�vZ��v�v���������
���
Z<�N}�6d�QP�'���7?|C�
d� �ʆyb͒G	�
U����p�:[�.��C����E�p:ڀz�|y���S�F��
�2��k�w�M]�h��	
-C����܆#��u~{@���C&a[��J}���}�+ͤ�����>쒆�BM�$��$���Y@�k����
-�d
��Z�:����\��~
��F�z����f}��=	%:jr�M�`w�Jr�%�6�!�e�ji�@�$<�����N(:
��T�ǩD����:�_�9�b������Q ���u܄>n\��N"�$����w	���s�
�M/u���8c��r��6��iAc��C�y�Δa�h��+1چ)� 0k3�0
?19m��)j����l��A��|�Z�_�ބ���0��O��)r�2��)e�(N5_*�
��Q�=�
-�ek�5ʤD���Þ����\H ����
]e���
�	8 �eX�蹂�*��W���7���zο��L��<@ �L�0��p�b����=�eGl9��5V#R��]�%x�3����	�<¸%A�T����p��I2L1�� �1��_������$S�
-��lkń�= o�E�B 8����C�
�p��l�B3>Ή�:#���lwP1�0k(����\��}�_�@�[q�
�>��(#I*>�Gێ��(�ljx�����x)N�~^?��>�@GʘO�	�x�ѳ�YP�
0D��I0b����>c>�BF��T
F0Z2ׇ;�n�M
-~	��`4�2&�Q
�"@��c�ۼ���u�ec��6
W��Y�9.�-2���,
�Q�	��!�rLO(s�顁�Q�<���q
�R�����
O^��|��mf����D8�HuR�vG�m�h ���J1d����
bt�[Q ���/hx�c�ǖR ���i�2z�e�[[�ݣ����f4�Md=�F-��U�j`��j���E�F"T#%����	X�� �0�B�e��[�y`M�%�
��1Xc^k����*�`����?
kċa����Ӫ��Lee��,>#X��`� ��HW�q��7Ax+��t���+
b�q�E
����� ȓ���
0��+`yF�E�2z�[�ۋ
��x@��-=��k�� -`��O�
���3���CKT\wC�,]�&��7	�[K)�-uW�ߩR+^XL �j
���
����P�wy	�|������]~܉O��؁�;���h�}�=��2���
#�Z�d8@
�c���+�6�
��Lu���P^y L8B��U	
v��\���*x���s
h5O4��y|E�;dc�(D�4�*���ٮ�-J��nQ*O����}�F[�n�"�y	�$��@r
���}^f�wo ����yqtv�9S0�����s���<�
��?��.�b,�C�Q�8B(хؒ�
PH(��(82�i!�lzh����N
�v�f���>\&�_�h|�f�R�Q���)��д�5�n3q�ڸ��2�DCn͐m�+۠o����;�i����q�I	'���)�J �X'>ZM
��@GJSp��@�N�
-�@���mb!��&=-u��n��D�jC�g�
c�]m�g{�S���p�ӠL(�er{�?+�	�3 ё�ȥ�
~�״Vd�*��X"���F�JtI�E�eL8�Z
�:�\s`�
�|�Ǿa��*waN�]6�?���{9��ŀ%�
x�l
1ck�������A��-'}Eh7�-�{m1�nQAZ����o� ��c7 �ߺ��|C4V./�vCq	�´KD�
�
��u�j�H�PgF ��`�C�"�%��`�


w3endstream
+x��ZKo7��WA�e��ҭ/I �&�Q��s������
ˎ�
��;$���ĕ���A6���
�3�|C������!c�*5<�
Z*���ћ1]O���X��
N���f9����s���e:���n���7P$m�����0e��C�h�ɳ������9x�Ă*�G�g_�+7�zu3�@�>��9�O���N�vHj`\g*�
+u|��=���[7JPb��@,
����a�,J�}=��;ʉ^.Ͻ���
��2fn�i���Kj_���L�q0����v�:���9�zts����1|�‚OTq­�_�H�����m�к[6-H�D)�S���*u6'�E�}(�DK���*%Z����ԣ��(NaUu;��0�9�&(�Ax1f��uRШ!Al;g�i4nk��a�+�$��K�\Э/��eQ�D�!e�`�!ܰ�'�7��X�"��Y
c�~rQԜC;䠋�e�z|'I�F��#�i��uC��D��j�
���
a>,c2$�b�g���QD��2ɦh�˕%)Wj��q�%���vIpf�
u& �� Ln 0I4c 
�z L� ��QG��M���E�6s��� �$FI
�#\b�|/�&������S�/�
�`јTD�DJ��m��0ŀrlp��Ne��{X$8��
�
x$|�6.<�͖�F%�-Z�A1���T���H��b����wD�
�^��_���^p"h\@_�2����@����*
6V0S#x�-��
�mWCK�����m��z{��^�+瞅
�z*�O�]s�
X��i���
+ˍ�����;�/����O�QmC5a���P^#�
c��)�\x-bh+�"�ȹ
+3S��%@	�뺀Q���
\X�$���
+	�Y���$ٲ
x�g�cŸH!ũd\ Q���Fu�5x~0p�G�
(aM�UC	U�ɘ.o���l@��
(��
�������@ �p����ieUQX�H{�*Qg,4������y�V� �4**�!
+���U�ae=�M*S�'
v/&�~)qd�P�d
T_����s0IfD�΀�1�'O39�M��H����W;��& �Śh�*xZ�*L�/՜���iG���r�Ԝ9��"x�DD��
�2�`,߅6��}k�ٸ?�nRXO�=�u����m�y᫵��v�Xw u|W�&��:���O���
+����pn�ǖ�)w���]�){�i�8%P2���:�"p���/���;�8K
+�y>��b"՟ �?�卯���‹Hk�a[k
�G
�ݦ�a��@xX ��Se0x�ror
+o_W�NC���ڮ�'}�-�����A�Ew_}�m��!̘[�9�j)�;�Rb�����C��c/�R�rx�%��؄r)� ���{�~(�p���r1�����iC���BaU"�@�Z��Ӎ;Q.{/�ŶR�ҙC�b�P.yg���M�x�r�6y+���1��3�Q.��
p�#Ž2!��[�d[�Ѝ3T���+�ʯ6X��@���?���I�ϟn�ȟ��˟��;�쒵�����*�����[n��W�*�ϱ��-@�,E�U��V�F\�!a
�x{[
�| L��;b�b��N'A0yz�a�Hv&�3I�o�_�+��5�9'�c�/�w/^����8uaq^�"�N|	�?ū�2��У�cfaiO�ŧc�J�i�<�X�<0�L+<�D��u��9ţ7��t�۔J11��U~������

܌�/g�0\��Y����~��W�
��'Rl�`2�*���Q�`���$�i9����UL��T��.h���
+^E��(x��f�����Q��-l�(����J'�
+� �u���
ʀ�ۢ��>
�7݌�m00%��$8fٔ<k����Z�,o
��>)�z�c�ů{�6w~n>��,QV�-ʀLE�8E!
^n�[�@4�����˪�!�|e'�9;�;DoԄ���1wCB�͕J'h
�?	�����uhpl��'6�	y��
,�W�>��R�w7�;�[�s���������U��%N_7�.�Q��1[��^�nf�$�
+ؤ̨����B*���{�޼�
�
���抶���ݕ���,}��4M�x{$t_!*)@2�������˗��[\�B���YO���} \�R��F9�\��w�S0��,�)�:r�UB�UI�U�*���?��
ѥ}�_��n�
-|T<z�]e�endstream
 endobj
-2942 0 obj <<
+3205 0 obj <<
 /Type /Page
-/Contents 2943 0 R
-/Resources 2941 0 R
+/Contents 3206 0 R
+/Resources 3204 0 R
 /MediaBox [0 0 612 792]
-/Parent 2927 0 R
+/Parent 3203 0 R
 >> endobj
-2944 0 obj <<
-/D [2942 0 R /XYZ 72 720 null]
+3207 0 obj <<
+/D [3205 0 R /XYZ 72 720 null]
 >> endobj
-2945 0 obj <<
-/D [2942 0 R /XYZ 72 697.999 null]
+3208 0 obj <<
+/D [3205 0 R /XYZ 72 698.015 null]
 >> endobj
-2946 0 obj <<
-/D [2942 0 R /XYZ 72 250.151 null]
+3209 0 obj <<
+/D [3205 0 R /XYZ 72 250.436 null]
 >> endobj
-2941 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F32 668 0 R /F51 1171 0 R /F48 554 0 R /F35 1440 0 R /F52 1472 0 R /F41 1704 0 R >>
+3204 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R /F69 550 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2949 0 obj <<
-/Length 1618      
+3212 0 obj <<
+/Length 1570      
 /Filter /FlateDecode
 >>
 stream
-xڽWKs�6��W��9c! ��L��tZWI�Q;�6=P$$��H���h�|�H�C��$�E� ��o��œ�/��D)Q���b�D$�I.
!�4���,��2�c�H�yq"I��B���L
�F�O;X����]
�"��ݳp��2h�*���Ɔ�8M�U�mqåf�.�Ey��A���Y�;��r?��u�����am��<f㖬в����d�6#�3:
�f�p��s~�J�D��a�7b�1�
�&ʔHU9B(N� �iw{����p\�G��3<4����RH��hz�g�UR�_���'�������B$�r�L�K�L?
�96�n%"��#xP
�C�e��a���qqfY��P��8�
#���N at E�eA����8
�r��ý
�(`���u:��(2�4�a�V���OM���Y�
�=�f�w�G���$�3�|�0�#[��>+X�(4��yz����L�P���_�i��5b�8��&�Ȅ����)��
<�5�)�!n3�@#J�� ��@���u ��f�-/�����hΥH��T�'��A�m���J��,!/|�o�R\�ޛZI)d�|\j}2�������u��
ɧ8G�G�!����u�:��t
�� N��*�O
-B�D9�e��j>$Rr�t*(E�z;�G(|�g�C�€��Y�'�u�"T�0rPɲ�
-�.�����ф�F���0]�T��{4
m�Y��'�
-��ԃ��T�F"?�[����h�+}�f	u�ɚC�Vш/��&�_�'�P{v����𮝅��Րs
DC��a�ې2D.�ijz`%.���s[�4Fc����41^ǣ��]ۘ�z��ڌ�
6�/����}� MV�w��c��TN�rta2�՚������A�cxP�%�v_}���<)���e����J��"�`��㙱�����So	�
-T��c|Fh�Zda*Zuey��:cm��^*��ƋW��v���`��
-xV�I���A���|~��j��7fI��������,x�6��a�د��
OěqD7)顰����_�,�qo�V��݊��
IZgw�^�0\�<�����*P�6���z
e�&dI�W=�`�S\�����S
��ޅ���l�#Е�4��5�����j����g!
�2��gX^��믺k��/+BI���k��sz$n:&�*rj��L����ԽCk �7�G��<�%�1�
-�+D���+�	uHf/�u[�Z	76������Y�[pW
sj�H2���_�����������s�~ Iˢ7��v�{
MQ��#��&g�;��c$CuQ
�'��`v���q��
�섣�/���Qu��_j��ǡ�V��o\
-,}O�H�渭� ,���k
)�
��E�|%�:U�ST*�셟=z��''��H�FF�Խ'Y
O�R��w���𧩐�I���:L���{g�e�F�R�؎#�5�M8ځ���0 n�y���͜�g��$Կ���F�\��Cu�մk
��j�n��FOue��D�|k�ø�w v�=�XbF��p�(��{[�/h��н��+/�;��5S�7�1k�&XR0��B(Wf�
t����ɿ���?endstream
+x��XMs�6��W��5� H�`gz����&NҎۙ��A�(Y�,��l'��bwA�2$;I;�$�ݷ�
��?���R��R�2��|O���⤔V�
�f�'���8�&�"���)���ӑJh5�9�%�)���5�
����*Vf��*��(ͫ2���-��H��
����|�;]ѻx���f���[7Roy�e������k���_��(�A�b֭_r����z�ա�-��9u��?I���v�w*���&e�SU�\�t��
���\@�f����K
+z�.ɲ���Q�t�A�ٓ�]���y\�JXS��-��a;���%���9���gh�"VUVdʲ�8ʙ�BU�#anY�ջ��΅�G����@� _[cD�����/�?>�ɺ���
NR�B�Ȅ<�*-���=Iu)�ʢvo��੔�-x>�:���U�`e��ZXyʼ�Fҟ�l���
�& �^�5���dɟ�tS��Mf���')���(u�y,�Dz����F�_l�W
-7�67Gå%!7^3��@��#P.
+
(������b��d�}��Q��Do��!�C�U%T�
|K?B��8Os+
+U~$OC�7h������~��/��B���\`���3\0?�.�@�]�{\�M�1��i�]�0��Q[�t;e��P�Ľ͢\r���Bv�t�a��u��X/0"a�@���� mVG\�$w���c��m�(QI,M�{���R*b?=N�kw��%NcD&� n ΐFP"�C]������������
+�����+�/m��5��tG�;�+5�1"��Կlo�&("����"�H��'�H1�_���|(C�q�dKm����8�f]�#�[[{��������vp�pE}�k�h_�6*i�J�L�ڌ;Yi�Ż�����bW?	�܆������
�pJ.e�f�K��׷���EEf-�}m�ί�}���%]�t�׵
-囟{
����gc�`�4{G�V��r�@R.�>|~�=�j�R�S
}|<�Q}�w�a���|Q�t���L���|��Kۚ�q���s�v�����y�����}��|H{	S�5V�P‘ ܌rY�-�Q�.��	�b{|��t���1-z�+���o
��f�-�-⫒B	��0g0m�?����d��P&

�8�57�3��,��`��9@�I�8o���-EY
x�f�j50��,��Ҽ���J��.+j�0�o1(�l�L|F\3c�o
Ӗ�yw�}�X��Ǫa~���5<?uJ<��cı�'�
;��0鍯��|J�r@ [...]
 endobj
-2948 0 obj <<
+3211 0 obj <<
 /Type /Page
-/Contents 2949 0 R
-/Resources 2947 0 R
+/Contents 3212 0 R
+/Resources 3210 0 R
 /MediaBox [0 0 612 792]
-/Parent 2927 0 R
+/Parent 3203 0 R
 >> endobj
-2950 0 obj <<
-/D [2948 0 R /XYZ 72 720 null]
+3213 0 obj <<
+/D [3211 0 R /XYZ 72 720 null]
 >> endobj
-2951 0 obj <<
-/D [2948 0 R /XYZ 72 440.008 null]
+3214 0 obj <<
+/D [3211 0 R /XYZ 72 440.04 null]
 >> endobj
-2947 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F79 926 0 R /F76 747 0 R >>
+3210 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2954 0 obj <<
-/Length 2194      
+3217 0 obj <<
+/Length 2170      
 /Filter /FlateDecode
 >>
 stream
-xڕXY�ܸ~��h�I�LsE����:6���
�� �8�zZ�ZjHꙞ	��}��svg^$�,�u~U��_|�.�W:VF����*6��O�oa����f�=��_����߽��q(���O����-<ʞi���a ��֛�F�?����z����z���&ڢ�p��ye��$�
�pq��w���9"��b�<�6r��h��8����-���z�\��ː�2�Vk!�X�4l�4}c"e�����
h9ږ=�A
ڬĵ�W���;���^^T<�-�
����8MA,�G�k��XFbd��
:!ޑ����9�gB��p�w}I:�Q�_,vtn?��B��F[emD"�S��}30l�o�R�
B��:�}�

cB�{<%[�ĻG����jާ<���Ȗ��>��6�,��
-p������+�"�>�J�hC��䵣�A�@+
[�ӽx
�{��aNm�ҰR��\[�A�c�<�3
6�z�`�e%��?���4���_������rt�	�U<�~��G�Kx
-}NZ�f�!�q��4����a^���
J�\�{x?(4�gy~c�,��Ԑj��^"�e!�e:���!4?|�sv
�/G��<',b��X�A
z�ӹw������L�{�3�N࠙>w�/fuN���|I�]9<L�)|�����
�k�q�������G��r�	C7���
����� JYF��b*
�2:&٣
Ը>���
@=��f �vW ���H�,$Ua��o~J�}1�w�D��E<>
=��
�"�fJB���\�@"kS��oO��
-��w�ѥ>���_őP"�����wl	))�0��O��g�v,

�
oȠV���]~�W=�Me͠�]s<Q\I�CE����zo��|@S�L-��@[���C"��k�j���qW�����d�S�C���C�A7��w�B�碬
-N�'�e||ZR���l1����K-OqB��(����
�&Ta���1���(;��
@E}�6
�l��k�&h
pC>9�횖�*��bHv�e�O�̉��_����H��*���~>�\	�%�7ۮho��F7d}d���/���[�Ƭ^
������cRp�	r�]�jg<X��i a}��R=f3����#�^"�+�t
��x�?����� +�.#��r��M�U����υ}�J�JG
s`��'`z���L���2���d�vc�tn�?<Ƀ�_�b���޾G�|���!d�d�
:�,�
t�h��o\��W��+&�x�W�~:k
	��
�hu�4�Ԓ��6)�	T
<UM_1�P��3��:r� �TQ�9��<_
2xK~O$���ݚ
[��a��sS��	R��T)��u�wB���)��jA�v�X��e�r�'*�����.�Xp�������]VZ:8.r
�
(��1
s����@
�:�yX����X��c'|�/������p;G˛��G��f�L�T�@� 6��E8�.JPr��U�*ܻԙB�
M�
R*�1  �� �\�:�6�{�������& [...]
-5VzZjS��tJ(8�>
�hW�e&�#n��v=8���g��	�!�s-���w�9l rN���-�Äh����A5Ԑ��8W�߻;@~w�o�+��x�fPG��Nq�<���p���D��x���f7HBo�f��O��x�D��.��$U��*d�?����c��9
-������gäVEx�53
�K[�|�
-�
M�P��!,2
��G�����0 ��H��
C ����-C b�
(!�ی�

�H~?�3/��ʇ�2t�� �籓ui,R:4c��@��*<1��R���0�h^�����$�
�O�XG�rpJ���`c����	�r7�
PW��{��v(����3�D=5�	p�(&���0�W��{bӦ���ܶ��Q����ݱY�]�W��7Ex�l0��v������_��d�]�����=!�¢���1Æ�Tɰ?���X�$n�q�W�\*Z���ݟI�2z�xǭ��7�S?���c�K��H�Gl6���:O
�L�c�s�v���W;+m�1�Tⳏ�C\~���ů�Kendstream
+xڵY�o�6߿����<�E�_�v��ݢ�
��p�k[���,�Iz@���
�iSNv�>ȖDr8���蛳�x#e5�V(ifg��U3[6���i��B��B�%�_��v�
�Qu��֢�ͬ��0k
�
\�pm���d'�E�*^����U�+^�VΫR?�<��30]�v�3T��ǭ[�-/N�,�7Dƍ^��݀����~������\I�ʆ����z�_#
�D۪��I[
3������㌤T�LCB�Y7sU
U�D��G�fBU0T9QG��HZ
v�Э	�K�z��zr��!�ytC4�V�8L��'�q{���c&E$/_�该�pl��:��׹7�;fd�K톃x�J��.
B󔳹�DUդ��Pw�̛r|�	�̄,�����ś�Fy��U����C�<�O?l�f4�ao�|�W�Gvbia�����k�1�W��ũ[7��,2�����1�G�.��h��O�DB���C��"�`��E_C������Q at 9���_��|�ѳ���
rS��݌?���t���o�S >��]���+��	�0�$�1�ed�.!pE
#�f�2ぬ��'00�;Rl�Ps��L��𬭼S
��Գ
��plb�
O�'������w�����f?,:gK̬����nG�p�IS|n�MFZ�9�9Մ [...]
+$�(]�U�2�r)liXe1Kw
v=�Z4P������W^z;Ce @�'��U�V~�70�%�f�׹�Ka���;F�V9ҀA�I��9�rd8���k32>P�p��_R<g��ᮖ�
���tq�D.=�s` v�<��T�T�	6����	��|Z������1y��
a���	-�¡����nG�a��
n\�PE>X�\›�~�1�fd�ga�+������[��G�9�e�	��9����جI�}b��RaZ��a/a":ٳ
��d$��+����8Oj�͓�F��.r,����
0e��u)�m�>#�B���/ъ�Xݧnm��a�cg'H̠o
�?�
^��
`i&��=���up��
�m@}���t��  ��DN�?xDH���Rc)u��x��'-Z]`� ֖]��F1�Gw�=�ɹ�q��i<��
�>^
=�V��sHf�Ja�J����5	�JH
W�[���Iv,Ix
y�
NQ��چcl�t����q��d����F��n��-��W�3��
0�
@�ȝ��ծVP���
�ϧ�! ���L�☶��vz<��p�a�y����iA�5E��5��}c�L|�ƥEBw
ʪl�D<w�Sb@�*���!l�{@��'\&p��;%�kG [...]
T��6��:6o
٤2�y�w�19�!��T�0��`��)8
+8[��C�!�7�O
��љe�Y��pd��^�IL�uD�,z�FTV
�V-deB�%W�L%d�$G����`WOE,&��s�q�=ڍ��	��a@����8�o��8w��K 6�!i9���4B��G
sB�
\�������
m�@�,�C�x�G�m�?i�#�9�i�~7J��&۳���lh�*��t��ȫ���;����$m��Q"���
��5��=��{W������?_�E'���R���}���)ox�n���s������=�29��
�6�߁e��� $W�W�_/y�~�:۬�>���'��3��PZb4|�V��-�x����_h�@xendstream
 endobj
-2953 0 obj <<
+3216 0 obj <<
 /Type /Page
-/Contents 2954 0 R
-/Resources 2952 0 R
+/Contents 3217 0 R
+/Resources 3215 0 R
 /MediaBox [0 0 612 792]
-/Parent 2927 0 R
-/Annots [ 2956 0 R 2959 0 R 2960 0 R 2961 0 R 2962 0 R 2963 0 R 2964 0 R 2965 0 R 2966 0 R 2967 0 R ]
+/Parent 3203 0 R
+/Annots [ 3219 0 R 3222 0 R 3223 0 R 3224 0 R 3225 0 R 3226 0 R 3227 0 R 3228 0 R 3229 0 R 3230 0 R ]
 >> endobj
-2956 0 obj <<
+3219 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [485.847 642.076 514.503 654.695]
+/Rect [485.234 642.096 513.851 654.639]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.31) >>
+/A << /S /GoTo /D (section.12.24) >>
 >> endobj
-2959 0 obj <<
+3222 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [292.84 452.536 326.764 466.484]
+/Rect [292.875 452.616 326.752 466.45]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2960 0 obj <<
+3223 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [333.197 452.536 358.601 466.484]
+/Rect [333.215 452.616 358.592 466.45]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2961 0 obj <<
+3224 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 343.445 501.89 357.393]
+/Rect [455.338 343.525 501.9 357.359]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2962 0 obj <<
+3225 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 343.445 533.192 357.393]
+/Rect [507.837 343.525 533.214 357.359]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-2963 0 obj <<
+3226 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 327.173 540.996 339.792]
+/Rect [449.991 327.258 540.996 339.801]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2964 0 obj <<
+3227 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 312.063 175.918 326.011]
+/Rect [147.912 312.142 175.883 325.977]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2965 0 obj <<
+3228 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 312.063 207.784 326.011]
+/Rect [182.33 312.142 207.707 325.977]
 /Subtype /Link
 /A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-2966 0 obj <<
+3229 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 200.98 273.869 214.927]
+/Rect [239.774 201.059 273.651 214.893]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2967 0 obj <<
+3230 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 200.98 305.735 214.927]
+/Rect [280.099 201.059 305.475 214.893]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2955 0 obj <<
-/D [2953 0 R /XYZ 72 720 null]
+3218 0 obj <<
+/D [3216 0 R /XYZ 72 720 null]
+>> endobj
+442 0 obj <<
+/D [3216 0 R /XYZ 72 720 null]
+>> endobj
+3220 0 obj <<
+/D [3216 0 R /XYZ 72 604.229 null]
+>> endobj
+3221 0 obj <<
+/D [3216 0 R /XYZ 72 522.028 null]
+>> endobj
+3231 0 obj <<
+/D [3216 0 R /XYZ 72 163.861 null]
+>> endobj
+3215 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F167 1942 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3234 0 obj <<
+/Length 1595      
+/Filter /FlateDecode
+>>
+stream
+x��XI�5�ϯp�8�E�hW7)2UP at A2����/�g��o�Iz�l���P�8t����~oQ��8{uδ�1FJ�zӞ�=C
B%�M~�;*.�
X���������
<[�
+�9\3�>�uI��
n�8G�������q��YV6F�
�x�I�v�Hv�_��
�r���P/��E�d�
%
6(�2X&�;����z�7�h.cg�H��k�\
[����e�ꜗQ@��D��Ƃ�W�W�
�9r�j���ӕ��,�k�^�T=�_��2r��Q4�FߍЏ�H�ߗ����]p�#Tp�ӡ<�֧x��
R�"��Óp�V�����
+~�.X
xј҂ҹ�2�n�M��Y�3+}�g1m�vD�i��"ɛ�Y���Y����@֯"��ҹ�P��y������!�q�=�	���V�;c2�Y0B�O��,�iR�;0�	SƑ��sӑ	
�q���7�hk,)�]�Ĕ�7dp��f1�!z-͕
�Ł`	,@�P�j�;
�j�B	\&>��>M=��e���K�w-�e��Qw�������(��]y_�К���5��'8M7��Ggz�~�n5�->��hC!%�†F�Ͱ
+�|��%��(�X�M2֝03�t
/9�#���`�W
�%��Ч����j�h|=�7�1hb_����ݖ�r���	D�q�MW`>�s=��޶+��
��2��Uy�3�vGX�X!J(�p�D�Td�� 
+!��T�}z

#�
+��a�� �e�2�o�� �`����$�$QPR���3l �4He�B�"ܷ���1�z���#��sc��
�>�;��K"KuHa;Z4�.�fАA�(�u�$��=�
�M�
�@ک'P&��H#���C"���
�o
+*�%e�+Z1
�
rRU�
�pk�.P&��ހ7ī ����*�A�P
+�� �N5k�r��L��%;�X��c�����k�k랧잤Ҏ��An��3�8�e��9��a���
GLq��}ۥ��"��ȳ*?��=,�&�5�1�L���L�Hn�B��Z%կVu�O���ld3#���1m��jG����#��!>
�9�E��t
W�����$EA�	M��$w�&B���VlԎG�K=ۇ�U����U�Rb��)y���Mt\��f\�����s���Zꤝ��X^�uk8�h�<�4�,�4�)�(ft���v|q@�q۲��6ͮ

@|�̶J���HI
+-��eG�Q{���s`�>>��
+/8��~Y��i��¡``j�#��7d��'�����CNũs�ixt��S@�35��yF�Ʌr;H�o�>���>�^�=jU����:���6��t�#@������ �u��g�
Q��o�O�Iʦl������|�
>z���W�?����0@���Q�!�P�
o�a�;_<éc������	�1�4X���3���gF��
O˴.��t�ߡ$&�a�`��iږA�%��i:����䜭֨������& �$�1�)G��R-�����zgRr����_"�_듋��)I
+��
y����@��Q��|�tM)���N!?kv�'�ž�"͍t*cPE��B����C��pv��ۋ� +Zeendstream
+endobj
+3233 0 obj <<
+/Type /Page
+/Contents 3234 0 R
+/Resources 3232 0 R
+/MediaBox [0 0 612 792]
+/Parent 3203 0 R
+>> endobj
+3235 0 obj <<
+/D [3233 0 R /XYZ 72 720 null]
+>> endobj
+3236 0 obj <<
+/D [3233 0 R /XYZ 72 517.926 null]
+>> endobj
+3237 0 obj <<
+/D [3233 0 R /XYZ 72 298.937 null]
+>> endobj
+3232 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F126 638 0 R /F69 550 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3240 0 obj <<
+/Length 2621      
+/Filter /FlateDecode
+>>
+stream
+x��Z[�۸~��
�*.�"��[l�]�;�-Ƀ�K�ƞLGvf���=<$%J�|ٙ)v�<�&�<�|<���W�o^0i
ƈU��Z����B%\X�����^_���
��oU�1�_�JQ���ÌM�����
^�3^��k����[x��a̢;U�
�,���Q�-�տ�[�����E?r>�f�ѽ�n����.\���7��
+�T�b��m��յ[g�^��L�I8�U
+�u�!F� F\̽j�@�!�BS�9�2�2�P)^��)R1]�L	뻑����	\!�؃�]vX�(�	J�Q�C�(��;��&
�+8��jUh�	��X�&���|M��?L(��)��;%\�b7�$���v���/�Ze\�LV����0	>�HX�I���
NJ��!'�٢�)?���Ei	�/m�4m�i�#�ϙ�-x�߂�
+A$l��/Z�+�
RYъ)`��%���hԳ�t`+��
+�>Pr���X��#��`ɳ���F
D��A$Tggjd} V0͈-��Z0�@3�[��`��F���@U
8rg��n�aXюiC�#I50;�q�@
�I�!�@F`�C`��1M8ӜV��]F�%B�4�2�� \� �s ��ȟ@� |�C"����P�����<Hk��*�
*����;̕�!sxJ"xu��b�̊<��WAW���M�l�:e>�[4V&W��8fv2��L�f�&�{�b��NBɒa�(��_�S5����Ɯ�[A�a�\%��w0��XS
i�ҫ�
ԯ-j[_,�b��X,�	���0�:
疆Ni���2Sz�7Ȭ�����̰�v�� )E�B\.�>0pZop� �C�A����s��0w4
+?����C����هU7-���ɯ��v\��}(�����i��c֕GH�b,-B{�m��4��������q>�ݵ�mx�Mrȶ�7���+؜Y����\��C��
+}9�F��2N�-��&�:��0=�
+4��O}-�nLՄ�҃�[��Z�D��!��o:�녗V-Q�&���j7�������L_�z
-u�����ꦕ��[�$r��&�y[�Z%��I}��b�+/w�G�I�&�C�i�êK�{�N��@�:��S�搇�g�]F{�e[�Pc��
�

�1_-:5\
e���p�I�z$�~��_K�5#��&����d������/�L�QH���XZ҂�ȇ�߰X������HN�>F�g��2�+~�W<���a�f�~yE�:6�K	���t9gt*�Q��I�(�
�H�Z5�V��+&d�1����q�-���
ob+Zw��B
�O�>��sTT��>*핧i��B{/�-�^��W?
+�g�^��^@{;I�����wam��������<$B+i���
���
���(Dž�Oʳ8��[�vL�"���8�
�KXև�
����U�
���
W��8�����2��$R 
�3�z=�������怕OBz��
�U�K
������Ae�b��*�{|8
+7! ���o7�^�`���Jk!
���y�S�_����>�t����Y��e�-�4U���w�����a����z�bf��%��t�yQ�ȸ�(-.8Ip�T��5����(,8��@��
)������
�K�ȇ��.7�`�Q�{�.ܕ]Xq�������W�61nj��v�e��<v
C'��%���(��D���]}��}�qG�b
��.M�N��~�����7I�O�O7�\�<�5�
4��Gw0Sҡ)��n�	��d`���0	u^ĩ�	"+
���j��X%H%l�a
��z5 at 6�
'���G� m���_>
C�������sVuA�IJ����4Pܝ���	�~
T{��
�<MM��i���
���
�E����M��uٖ�r/g�|Oem
M���x-����)�0z���q,b�#:$l&4:Jw������P�����j�T�;
1�qhJ��k3`��Ŵ�un�)�M���}ls;`�(-�3N����}�t��+lq&y7r�
�
+GC��u�w�7���
%���i��쿄����\�:��S*1��;��(�RT�0�ʰ�T\��)zE���4���gm��0�g���������~ēj���f�gP:�@,��2�4��"Ҕ�
+��N\�wB�YL=~�S�[�����R5�gbx�ԺM�iZ���
+����[��;�5F���N��@[����
qL��"4�!̹�6ƺ��š���O��'?,�mr@늘J{�ř8��.p0_�����h�#�6��^�}

Ʊ�E/I�
���
x�F�e�1]G��r"�����V�
D��ԫ����'�TP��Z\�ڐ��R���
�h��
@��W0�=
�
(y|9���
�p����)T
����i[�
��M8Sd�=�=�AI���M�u;

+�.=i<�����x�=
+eU#�>I����['`�*[n;�_�G��3vX��[�I����j�	��$<$}{�~�.�lw���b�ndž��XZ
+[}Y�-C�$Ix�kA����
�cy
��&>
˭b	M�X�˦�3�P����Z~����R����8�H7q���o���g	O�{ k]{�*��p9ܵ�
+O��h,8Rendstream
+endobj
+3239 0 obj <<
+/Type /Page
+/Contents 3240 0 R
+/Resources 3238 0 R
+/MediaBox [0 0 612 792]
+/Parent 3203 0 R
+>> endobj
+3241 0 obj <<
+/D [3239 0 R /XYZ 72 720 null]
+>> endobj
+3242 0 obj <<
+/D [3239 0 R /XYZ 72 352.439 null]
+>> endobj
+3238 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F38 1435 0 R /F72 1166 0 R /F69 550 0 R /F32 667 0 R /F73 1467 0 R /F35 663 0 R /F53 1695 0 R /F114 560 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3245 0 obj <<
+/Length 2131      
+/Filter /FlateDecode
+>>
+stream
+x��Y�o7�_a
�A"
?�Kn����HQ��hs����bG�V�����p8�2WR���>��K����
�WW/��ՙ����jo����p�xM˟'�M�{�-�:%�LyƑb9�9<[�Gj�$IJb��W�Y�����NgJ֓��nhZ��ʿ�w���ó�i�Y�I�M�Mʗ�"U*۬��+{6!+ޠ�o��5��pMz|=�r�د�}�D���6Dޓ�w�8���'x�r���Wx1ܑ
�%
+�ؚq,����4���⷟ڞ�w��x�,��W$y3�Ӫ&���`A·�9�8_-�%��y��VF1��!Nj]����A��
Я���8в��lwI8����QÍ���;�	m5����t���R&K?��R��e���
�
}���U2�1i;��t�/E3kB��
�Z�t�#mO��y>U]���-�Q1)C�,�
-��Y1Z�aJ
Фa���`y���)P�v�L&k-�\M&���2'{O:!h� �����������3e��Ҁې�>z�$X�/��K߹X�U]��.��
� `���;��T��/ҿ����_�<���3�͗f��$pW�y�:���2�,,�0g�[��i���t����b[�߹^�	-�V��93�JӔ�KSf/M�b�B�_h"��
��
�+b��n�R Z�e��]p�&q�P�-*θ��3�����h��Kr��#L�y��r�{�AÎ�0��5�x�h�1LZ�l��-x�D,�>�@�^L*��(�.
+�Lq��
��<�z�C
χ�k�H1�E
����
Q�-�
�/k���.q���']
é-T�!�%d���r�����c+L'h,��d��=h.,ec|��c��.Ҏ�r�Kr9�͗a
�,�Z�]b�`�ܖ�]� s
��	rv�cQ%K���:��A��(�����ĉ�XN�϶���?���hǽ���@��o;�qU\�
Vq�`�	X���S����3a��XA�|���t��^<Mr�Dl��1G�mǕt��ӂr��B�}��W#ֳ%M��戓�����x�C��΀.�Sᇘ��gGh-��ll)�O�����'+�ߘ�G� ]�
	4�k�Pj���W�_{����� ���ĤT|��es-Tʕ_I�S�B��6G#	(²�߻�:�K��E��R�7�=?�3��أR�)0�Nf
�����A�*���P�m�{�4�%�T��UZ3ūf�֢:
+3�

�O��:����u�t�~w
��q�(��?�x!r
��
y��Hߴ�_��B�+�$�CY�ȃ8��5�N_�b�b�d�?��c%�37��.ms�@�q7ˆ* �=�k�}������y��˾�1j_�4\@9���Jsy)�Cbe�ۆ�T�x���A
.Wa(�
C;��+�\L
��N�Ɔ�
�	h�
�� ݷ���v��C�
$�;^`�c����d���}�<���
+�l3F� �į�#$�����z��'w��7�<
��oCT�T?.B�����U�
���ߙl��uv~>��y*�L~d��[�}'���24��%�]m�%<�
9�_����M*ɬ)�
���d�k��FMΝ��]�=��r;�v��[����ۺ�u#'��h�;*

+���ZV�|�^FT�D�:
�̼57	`]�^�j8�Ǜ��p����c����ݷ<�/� \�'��^z&�x2�1[��[@�W����R�8+w�1t��
-�5�7��o�V��kj�?�
S��2�V���:&���ɳ3�Ĭd�G�&�G
+t�&�&u�0���Y\�h	�p�3���!�%]�����
K�����L�5?$���}VU���C���zȵd��
g�q��y�����!B ~�p`ҧr<v�o<�A�v�z;�s$�Ɵ��m|�i��u
b��V���QМ3�_@�*E���r��P��u,��b<����b��?=��0�����.�|s��fi�N�9w���|_2x�7�a6�^��p��x��@���J�oL���v�C���� �^�����C��z�}�o�:
��8�+��*���Β�ߨ�$
����.T.����h
����D��=.��T�%Dŋ�Z�$^��ie��>�9�	�Մd{��j�rl�r�\ oC
^��z�;���!endstream
+endobj
+3244 0 obj <<
+/Type /Page
+/Contents 3245 0 R
+/Resources 3243 0 R
+/MediaBox [0 0 612 792]
+/Parent 3250 0 R
+/Annots [ 3248 0 R 3249 0 R ]
+>> endobj
+3248 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [85.362 191.971 202.96 205.805]
+/Subtype /Link
+/A << /S /GoTo /D (cite.McCNel89) >>
+>> endobj
+3249 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [209.408 191.971 234.784 205.805]
+/Subtype /Link
+/A << /S /GoTo /D (cite.McCNel89) >>
+>> endobj
+3246 0 obj <<
+/D [3244 0 R /XYZ 72 720 null]
+>> endobj
+3247 0 obj <<
+/D [3244 0 R /XYZ 72 302.556 null]
+>> endobj
+3243 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3253 0 obj <<
+/Length 535       
+/Filter /FlateDecode
+>>
+stream
+x�mT�o�0~�_��d�al�6зNj�d�V�H���&N�F`j�R�~w���d��;���S9KoUI�
c�rI!��&�D΅���\ǒ��
�c��
���x�X�u ��`51���	�������X��)N�e�e$cK
���*�� �2�
$9� �0�/�[���z�xA\a��>x߆��U�Y�pI��2�7�F��\k�;�F�<Ȃ]�Do G���|R�-�A�Xg�u��%
+��o�o���ܝg�y��;�/x���wrtIîI��Io�V�
PE�3k#�+��a.{�I��
�˜ڰe7���ߔd�M��aS�f�]S�Do��a]��k\H����<��|
���q܆�I�
�
@����qS�=��
+�vk"�
��篱1'aC/yyRӨ�!%�=��P�'Nأ���v�D�H�S{���^�UpQ���}
|0 ���c5=*e��X�1��[�w
�W
+_����
+��P�፸!8bw#wہܯϗ��걎c�+�Z���
�66�m��9�
+$��n��?�u3endstream
+endobj
+3252 0 obj <<
+/Type /Page
+/Contents 3253 0 R
+/Resources 3251 0 R
+/MediaBox [0 0 612 792]
+/Parent 3250 0 R
+>> endobj
+3254 0 obj <<
+/D [3252 0 R /XYZ 72 720 null]
+>> endobj
+3251 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3257 0 obj <<
+/Length 2133      
+/Filter /FlateDecode
+>>
+stream
+xڵko�F�{~�Q�8	�X�-�I���H
���>���,U�
���;3;KΒK�>�hr��y���/�}�J){��D������gEZ&����35W3
O�o;���?F�&7�5�YJ{�u�g�%<kxn�kx>����2����*-��f��U5{N�F(�iZF�Ȯ�
Sd��$]G���m�W�C�����L��ʈ�B�U�k}��y��x�6�.+�#1�rBVZ"�=嶧I�[��
+�78[̮v0���\���&Ӷ=A4�L��.=Kw�,뀼���)�$l�7�O�ŵ��P��h[�P^�2/˛�^���&��B���19��m�L&��{��3K���Q�����8	Nnf|\��"����ȷ^������*��z�p��{��fڗ
Y1kk���i��֫y�Y ½cZݾ��F�;:0no��:���3*��0\rv�N�[ZFqB��nW�4���5Z�g�Ӵ�M�%�
��a�4�t��~�春��WG
�`U��8u>�N��;o`��>�:6q�7>v��6��L7Ǒ�PG�p)M.��ղsf�I�k�ն�Sy̩���&"?t��(���g�cz�	J�h��� ���L��LY�u����w4l�k>_��W��O��f�������p�e:�#M�^_p�xx�T��W"V��-�;X���2�����i���8V�X�R�$�>���GȜ{֥��G�9fU?��V�:s���aQ���ۛ��	�����I,^T�(@o�١� [...]
+��p�kq/n�}8[9CR�J�.CQ|�a�%	�\?�
����s:IZ�v�6����F
�� �
�>���d�5�H� ��v	zj&!:jǴ�M�0n�URT�e�7�Xn�-3��O��=�Rbu��V>��ޓ j�/�&<�oXĔ�:�Q�����Zٓ�ť��|�h���C�@m9X���m���H�{]�H�l�B�C,Tਅ�Hw�H�Y
�D�g�:�M@���vӱJ�
��y�R�?pç
#�7�~?t�t��y���,.�5Z{s�>��z�2�5��s��8��7ҼO�a�1*._�^��:�B|Q�BT��eR�#[�r/
g%B8����0��ړ5C�
�9�}�&Z���M�S��>JS��ݵ�s̏�CТ��!ᤁ.^MߵM����^p��^�U��E�N��
�S���?zd2!�����I
+�99��V:amAP2^�k�nh�Nj�.
K���3�QE$���jǗ�i�:w��z�ě<���d�\�T�,�v�q|�c�vΖF�n3pƸ��s&K�􍈠�0���9��OS��`���C���c
^�/D��Й,��'ϰ�f�yQ�tdm?�<R����{Æ�:�,��0<mڶ�Ʀ�Xk������1WA�"�;H.�eF
Y���JhJ���b�Q�5��b�)��:R���O|U5�5w�h�
��]�\���	'�:�5���G�1'^�.;�\O��Ly.�e3���/����nm�N���`�Ćl*6L�="<��
��v�������o�c�*�G��~1�M�X��;��Ƕ����E6=EOZ�~��)���e�
g:-����p���,I	��w<{y��/�^�Kendstream
+endobj
+3256 0 obj <<
+/Type /Page
+/Contents 3257 0 R
+/Resources 3255 0 R
+/MediaBox [0 0 612 792]
+/Parent 3250 0 R
+/Annots [ 3259 0 R 3260 0 R 3261 0 R ]
+>> endobj
+3259 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [510.443 648.899 533.214 662.733]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.7) >>
+>> endobj
+3260 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [305.986 634.453 328.757 648.287]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.6) >>
+>> endobj
+3261 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[1 0 0]
+/Rect [140.546 620.007 169.163 633.841]
+/Subtype /Link
+/A << /S /GoTo /D (section.12.23) >>
+>> endobj
+3258 0 obj <<
+/D [3256 0 R /XYZ 72 720 null]
 >> endobj
 446 0 obj <<
-/D [2953 0 R /XYZ 72 720 null]
+/D [3256 0 R /XYZ 72 720 null]
 >> endobj
-2957 0 obj <<
-/D [2953 0 R /XYZ 72 604.176 null]
+3262 0 obj <<
+/D [3256 0 R /XYZ 72 582.862 null]
+>> endobj
+3263 0 obj <<
+/D [3256 0 R /XYZ 72 500.714 null]
+>> endobj
+3255 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3266 0 obj <<
+/Length 2086      
+/Filter /FlateDecode
+>>
+stream
+x��ˎ�6�0�
l$b%��Ġ-�Y$m���nP�M�W�u�}��Gv���
��ȒloP�=���p�3
�:y�̸͛I�)W���r���2�Tj`������?O~Hm$|�i1I	��,���y�����G���<�
��G�R�0������`�1�³�熰$y�?��H����z��
@
��3<���z��<U�<(ĞN�.����9C� �_�y?�VUT
��cE��I4\��p����
+�h��
�S7+���k$�Ƌ�
f��i<��DN�ai퇸�Jjj�r7+
+�H��I�S�\YM��(c,~�*�"��Ѯ
3C��ar6
Z�����u�W�����AF�d9�&a9�j� ����� 	�n�g���z�8�~r�_
��IGq��>���Q��e
+���f1�%�e����
�Y{T	;�s&%������3�v	��J>jA�@aZ������3��6���� j�
+	�
��
x��<,�\�
�J���q
χ�H���c�f���V,D �
.K��Y���2 �"�ATʊ�
�[F, at 1;�G%�*��n��ʊ�N<��r��\������ �`3Z��6�o����]�
�H6�ho���T��
�	\�ϝ<W�X.�.<��#L]P�kU��b8�)>�e��|d~�H,H�h���p�y�OP.�ε�P��T�B���b��8G���te��@Ģ�QѲ�C�ᥰK�昶�6͖�!�*JUfS�0H��
�VU`�1O�"�F��h�T.�nB�Z�l����š2��#L�,uG���G�e&4��K�vD��HFVC��K^���J,v]�
��;g,�{~ⷚe=�X��|%
�kJ$~����ϯx�2:�x�s)�X��P�'A&��P�cʪ)��~1"��R���aH�m�
�;���Q_�D\���p�b‡r(�4�y�I�������;q
����Y�n�=$�!�B
3�
C�6�%l��F5������6�p|��z�V'���Wf����k�ܜa�X��!�I�dMq�ׄ���l�G^�4z��f�c
�]��c�>
2J~�U�
Ď;�-c
�,3,���o���G0"�}�K}�
����̶���pF���9�Z�vP
X- �S\
ᅫ�P��ɀ�l9��
I��y9�����i41�i����[���ș;Ӿ��ʵ�r�q	@[��V�W��������u*u�#`�ע
+ꗮ�ϕ(-�I�1�@J�
X
mi��|@$Z�,�2_�pi�g.�2΄����t�&ji�^)�SlQ.M��T�M�6�����!�ܯ�7�2�-�4�(�U���&
]n��Qw�_�B�-8	�v��&�|4�J/@��8O�����aw~��bovs�g���ˠ�H��ᬲy)zk�m�B�XDv4�q�,���^�����P�Y7�!�y��3�Y�
����Ij�e���0��w�؜��/\�4Frd����.C���x:]�
:�cO�A�AJmcf�Kc�
�A�xb�hZ�~ϣ
m6m�[ae|]|���:�m�9_��]�JY�X��@}'�f�db�Μ Х81�sC}��k_�#ʿnCe׿n��FT��!R>p������y�hT`�r"�_�����"W6D�
7�=��v�d}���&H��%�{D�R�6�x��`rtl�{k(��U�
G����5��V[
��

��'����m�Ӕn����\�����|bGa�
+�Z�9��Œ�M�+�qB�Td�n�KL�T����F��<;H$�T��nØ���=�M�?��^�w��Ёvـ~�Y�+��>�
�����>g��a*��=qy��$v��2|�L.w]'���
�E܎��S��3C��(��@�P�y��
��
�=؜�{�ق��/��׈�tѿ
����q���6Ǟ�
�l�m��x
�9�t���N�����y-!\�.V�†4
i<\�,�~=K��R�!Fb�
o�~M���&ZT\y�_��D˛��� H��6���w��Վ��e�ў5�st��mY�<m��1�w"�}
1��u��>�r�V��-?�MVF����C�s(-/�{�*�q���4P|�
��P�ZL�4>v導��#ij�'������endstream
+endobj
+3265 0 obj <<
+/Type /Page
+/Contents 3266 0 R
+/Resources 3264 0 R
+/MediaBox [0 0 612 792]
+/Parent 3250 0 R
+>> endobj
+3267 0 obj <<
+/D [3265 0 R /XYZ 72 720 null]
+>> endobj
+3268 0 obj <<
+/D [3265 0 R /XYZ 72 613.562 null]
 >> endobj
-2958 0 obj <<
-/D [2953 0 R /XYZ 72 521.943 null]
+3269 0 obj <<
+/D [3265 0 R /XYZ 72 254.399 null]
 >> endobj
-2968 0 obj <<
-/D [2953 0 R /XYZ 72 163.744 null]
+3270 0 obj <<
+/D [3265 0 R /XYZ 72 259.38 null]
 >> endobj
-2952 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3264 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2971 0 obj <<
-/Length 1615      
+3273 0 obj <<
+/Length 1686      
 /Filter /FlateDecode
 >>
 stream
-x��XKo�F��WAm���m�C�h�m�KP�@���F����
��;�i)/%;6Z��5;;�o��՛��W犎#�����H�)�1<Dߏ'���g2f�jә���a��2�
��~�+����ެ�+�������nf�}m.e�����f���Q�EK\_�N-��\^��e�_�U�/^����]ޓ�PoS[��Ql��Ż
MXL�8�=kQz�D3�;��-s�_��ċ�⠊�Z��%F�$��8BU�M��+�W���]��.,ڂ�z��9Z����z�M�*�
��[9
l\]Y�E9�7��_�;cq/����w~;��wBӶ�~&�^<���Z������W;�	U�5~�t+�Mk�_�͵2eS�ֳ9J5h�K���]� ]��..U�5�t������
�xd�Wb�aa��p{?V�^�^���
F�����
�`�9��r�	2jd2O�S��1���# �H�L�焨���p1V�}�<�d�:-:G�>Y�i[67�ܲ0o�U��+��$��
�
-@�5*l]`r�
�r�KxifhqY�R�: ��e$I��a�2���~{]���k�r�G�+��ҷJpo�\�"�$��>
-�
-Z�R[��9Ȧ�ML��`{�
w�Jk�gt�"��&܊��0�F����Չ�|�Z���.�.�'B�.�6�*���x3Ň�P
8���K	��N#P���7���h/tIE04�d.�oJ�+�j�XT���)�̅
-Բ������6D��gߎE��b"���ۀ�"��cv
0*C�$e���� ���TE���
čg$�
D,�ޚa�B%##��^�\Urmf�?�B�y���@�%B��d�� ;P�%et(K)Q/c�6��
f);�6�a���.��ud#$*%1�sГ8�鰐�d��'�=i,�=�R���R���h�p�,�����!����v0O���M���Afe_�7ʝ�_VX%�|q��_w
���CJ�����
��2�{m"�
s������G�}�i%	�(L�H;E�
~ñLX_�d�l��so܉���l�K�率֟�
�֎��M	���xt��U$q��da�|�`����
-�Hs��7!�}Mz`��/7�mo�����uS�޹��k���Z@�	w���q6+[3&�jJ�^3x0<#"�J�����!�"�W)�Kp��Y��~9��H�!62�
��6
�T
o�I�~��,��=P�
qu����
SNd��ؠ�
��Y5oܑ���1Lc
��\/������B��u^[	^a���F`���q��\�NT�@�S�_49���
��6�V�9����3�=����S�0tKП��u�	�=I=��(��é�	�7�~������w�/`�f�|=;�^��͑O&�y�b�z�!:w�a8<%:[;�5��	}n����Ǥf�n��	X
!h�A1烛�'%΀#
=��	�����/(&J�;=S�B�Q�$eҵ�����A��?
-�A�J$?���7�BP`P�8�aY>�Κ��hp�����2B�gcϦy���8�������&u<�J���~X$'@��^1�q�%i�����
ŀTU�"a���8��B��^��sQ��endstream
+x��XKo�6���@m`��S��n�nE[�\��ǖ7B�8���f}�áDʴ7�Z�Y29�~�$_�>{q"J;����N73����Y^1�ah����Ea���]�y�=�/���Y��³��ѝq�����w������
<+s�7�4���5�w��X�u���
+i��e���hI������b�$xC+�j7��_@�#�W�,#�(��8�u�7��7N��V����E����[�¶ĵ��D9��P$r�Yq�y�7�fI���7(���=��A�_��jG�ݒ@	2I��BV  ~���nM���$�%��b��b���a��?�g1�����dc���WN�Čq�&�
c�4�
 ܡ��g�".M�{v�[R�*k֛EA��am;XW�A�0
A�=�[�Fr;
��e��*3�R�}�d�Y�5�vۈ�a[r�#F}

_/��ǒ�#�;��A�*�f���H�Ȣ�U�$?;��[oZ
���θPލ܂x��c�
o����]!��$��]Nj��H��X� T!����ݥ�?f��#E��*E�c�խx�o�<��
�#���%R����A��b����_���E�6A��2d��;��]����Q��\X�W5j�sj�{:����!�~�g���I�f`��?&��.hR��[J��,;�e+��(�Q��`��s�a�P����
_��<eJ\����xx�
�_�m�d��H�)�O/]�?�|Q�k"�_E��$0-M"5�(�'�["�6Q��
����i���O�D��79ض���	�<
Y�vMw.�J=M}9"

+��CV�
v~�qB�X�x:+g��(�W�u�|
�!�	J&�W�ߖ#�
ɤ`�e���X9���n�d������H�fDYV�?ЌU�TI�ϣr���wc}��

+e��Hp<}z��(ߡlv���iY�@b
n��pŤ4?���BZ,2 �'�.�^uY$���Ɠ4��<G����v��P
�_ޑt���
|s<�ƙ<�I����.O�2��%hi�a��u�na�|u���v��?ndwu�����ʒ�#侴�#L�z�۹oy2��L�
�*��]Z�V&V��z6�q��Eep�W�4�n�F
_g#�vRDFa��=}=@�J&�R~**Δ ��ݵ���eF
؈(�15,�e=�\�T�����V�u^9U�0����1 ��LT�H��@�@�
.�f�
��9���+��@	�43F:��iA��(��{�&���N��#Nv�X	W�J_'�ϝ����:	����
�c

���H(��������a�O��1u�h�/Z8[fse��D+)���K�ˇ�o��OL�%�3S��L�2��A���5 #�:��ܙ��I
d$9\�d$�\�1quid��C~�C�vL!rN>v���Q�!��^���%n9�n��tɄ�c�|��"�����g|�Ww�n]�'x�u���K
��
����&Í�US�]�܍���گ�-\�^
w8��k=G?�@X�4$��JN[NB��K��C��������v���<d
+�,���';ꤢq�f1��Z$}a
����PP�b_�
+\J���2���P"}�~����LT��v[Ԇٲ:�n+��?'/P�<\0F��h�L��P
���&	D��O����} �F�⫝?À�ҹW�c�)󗚥d�
+<�U��,
+����{����?�bJ�endstream
 endobj
-2970 0 obj <<
+3272 0 obj <<
 /Type /Page
-/Contents 2971 0 R
-/Resources 2969 0 R
+/Contents 3273 0 R
+/Resources 3271 0 R
 /MediaBox [0 0 612 792]
-/Parent 2975 0 R
+/Parent 3250 0 R
 >> endobj
-2972 0 obj <<
-/D [2970 0 R /XYZ 72 720 null]
+3274 0 obj <<
+/D [3272 0 R /XYZ 72 720 null]
 >> endobj
-2973 0 obj <<
-/D [2970 0 R /XYZ 72 542.623 null]
+3275 0 obj <<
+/D [3272 0 R /XYZ 72 501.861 null]
 >> endobj
-2974 0 obj <<
-/D [2970 0 R /XYZ 72 321.079 null]
+3276 0 obj <<
+/D [3272 0 R /XYZ 72 315.317 null]
 >> endobj
-2969 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F79 926 0 R /F48 554 0 R >>
+3271 0 obj <<
+/Font << /F167 1942 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F142 743 0 R /F35 663 0 R /F73 1467 0 R /F69 550 0 R /F75 1442 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2978 0 obj <<
-/Length 2675      
+3279 0 obj <<
+/Length 2046      
 /Filter /FlateDecode
 >>
 stream
-x��Z�۸���p(P-���ȴ��+.@\�
�J�Ak�^5򣒜�M����P�eӉ����⾬%r8�g�G�7/��~��D�I^.�ɒ�[�5
,^�����o^~��s�
�S�M�=͋��L�*�o7�����"�5��rQ�� 
���3����n���5iw[�Tq-m��f˦X��0?"����_�_�]��ٮ!J�Eڭ�
r����\�r
�^s����:*�̪�N�!�<�ETWsBZ�'��r� q2�°\�d&4�:�d���@�ҳ_{q7�.J⢶�v�#���̄��Y��dƸ������o_^�
�D"H��$�$��%���?�^����'�]q���w�̙T.Y_�Z��Z_�x�ǁ׬g6;��
Ɖ26�&!R�@�2"ə�}�H�	���h6^+��
������i;,��Z
��L���SL��6'�l�A�
\�r��mp�P6��9�$:�n�F(f�9�`&��~���Ф���',$S���5���Y��qcQ)��`�L&#Eo-��k�B�Ѭ"m���y�'�f`Gyb�����H3���N���?渣�@
.vz�Y!O�?�� ik��cR�'��6��c*�����$x�C�P^f@�E
�рob�1D�*"�ߝ��r$�
sA�t8zw�eS�,�����Ys��,9�i!�f
-����`�h
�u,/u���y�O��6&-�
-�o꒸,���M�Y�w�����JL��tp$�������#
xRi���
%�,H>�о�4ۚ��2�I�I��ra� ��i��\�
$$y����^a�k��,�2��5�	
�>bCT��dz
h�5�|_��hi�h�b
�--�o�e�!�*x
�<Lٷ���M,�g"��*'F�2)�s��ϐBԹ}�t����B��)��fY̻=v��B#w��!9
:pL�
���%�c��O�XƬ<L���yٶ7mِ$cD�,�;hw���'L�en��p�zh&�!~5n���
�h��zG1��]n!=��Me�\���������mX��k�ux*���맽�G�ب�(�'ZT��ϋM�
]��eۻ���[ߢ���p��J���~�j�B�o'gUC-�4��q��
�6q�
�Zzo!��9YJ�%�c�R���Va|7�&o?���c$%|c�y|�wh�G��k.8 ’
=`
��g�8�:�c
u�H�
���k�!N�5�Eΰ!� �} �H8�q G�, ��d�#�
�1� G�L��P��u����˅�����r [...]
-��X��G�v{���@�q`�P�F���C�E�_z�;�cf���Dz k�O�F0�Z��|�FP��
�s���F�������q��i]��h]�	��n�q'
-|�b����h�U�
d�
F�cv
e�>.���.����h��=�4�MF	n�}������83¤���>��}���V�����
$����Oh	Zi�i�=�3���'��
2A7~����4���L|(�3�p�
��ǔ/9jh
{�Q��9�bsb�j�'��� [C��·8�]�>|��!���E
�X�k��P�P�};�	s
�!��^��;t�{x`�}a��
P�m(�X�AI�CdG���͞�r��l��o�ؙ�!ۛ�f��a���.紕�
�����,��U�S(�'�pl.�(
{)�C��Ի,�uG/���E�@/�%�
�{
�n�_Z���֜9݇z�:��0!g:s�lo�3�����O3
��r����:�5��fXʺ�kHK#�P��C1��ҫὲ�
�#CMj��LX7u��>��
�����_
uۦ�5m[W-�
��
�dz���.~-�Ȭ�0&�K.�|�m ��v�+�!+���
C���z�k4~_�l*lYq��������B]�]�P7�/n0T|�
���S]
��h)��I��~�S'��X
-������S��ʤ���Dו́�mWё*C
��e��+�=0
A$H�>�q���F����b�2E����������Oe�T� q����yK(���zb�Ύ��G��"
�:�+�
-�,�3
����H�=��82D
Q
A.q�<�BK4N��Z`�뿃 d������LmU��t�<{ٸJ�f�M�#hW����1��x at 8��q���2m}"ؔ>q�
iT
G�t[qFo���[�8�O[u�1�p��#x+3Q��>X���g�\
�c�A��z��p)��b��[d�}2��߽�����x� D���R����
-�	]K�Kꚮ�a��V���ex�
��}���c‘z���S�[�����,�7�� �a㳫�m���|�.�	�/JnBi<	�9m�W\ټ��7V�8�";?&��™���0����Y��39�4�����_PJ�
�pI��>���r�z��y�S�zL��bl��:Z��Qu =�t��t���u�K�x���
���u
���/���	�:� ��2��y����G���endstream
+x��ZKo7��W��>�d�\�&@�HRZ$>8�����IJ�����k���z�m9��gg���|�p}|2z�I�0F�R��Ec,Qm��!T���w�ѣӓ��\W���z��ߏ�x����Pģاk�͗�u�®�rK�E)�kc���E�w����Xk��
�VG���g�?��Ϯ܏j����U��¥h&�%��5{B��0s˻9���8iYZ��aul���
����&V{o���:|�/���h�dZ5a��Yj
�SZY�"�4KZ#��� w'{�:7WS#�v��̣�	k��8�^u�$%sJE�6��fK�i�K�m&X�u
���”�k��
�I9��
;Ǹ���Pb����u����.�8���T��D"@{���
��2�	nU�é�5���]^�K
3W���L��WIe�1)
>�ӄw!9�=�|(��������$�[)?v
�]����VA(�8���E�L[��g�����+[,��kn)���D�̔��ω�|�k'RpT�5H�`ȁO�c����<:6֡E����/a�
U4���A5��gA!��3�8�B�gAEu���Lg��2h���dnv
_$�~&����p�@IVa�^C�6(A������e�\>�egאp�il�
@�	簥E.MY���rv��yDž�m�4�M�
o
����s\�ޔC�*�i.���Sa����Y��v�����%�g��s't�흅�u���������eg�c�W�6Л���I��1'B9^9_N����a-������Z
+D����C�Ri7~�a8G�'��Q�@����b��V�b��6��U�nM���;c,@�ۦ�A
�8�<v�#)�<�. �B��,+^�\�P"
�,�0M�f�G�oˣ*�k8��!P�qk�1$�
��MB�y�x�<F�Ss��Kg-
[هxv6eˢ:��O^>�
y7dz�.�Z���z�-�C

�і�w�ժ�����b������U�L)u^�������v�dv�
{^E�۸�P�:�� )>�G�r���y��>cg���qѶ����/x�
�e5&<'X�5�fL���x�P9�w[U
b
~݊]�'g^����?o��ə�q1:��p�%�4
{���v�Y���
e0.)�{y\^�u'��EV?6*N
�#�[Cc��u���ګlWϼ��.W��Ey
|�џBя�����"�,�o�?��/jc��
��=
'3f�ȵ��ָ���v�^���@d����H��}O�;\����a5��jO�]����K�p�1��&0�}I%۴A�ը [...]
qǚ�b�y���6�#ڼQ"�i�p��D�f1�2w"��.G��^w�&I�$Sv��݋S��"R�
����i�Oh����������� ��.1�by�ez&�(�<�ƽl���kY���P�F�DE�0j��ʸ�r��
PV�l&�Ǭ^

�� F߽���\��W[����l}��ڲ��sp{�ؐ��٠Ce��th�A��bӁ�9��v4��
��4�Zd�#W�X���FAp��B��-M�v+1#����ۍ�@�^����!��\���
.��~*
+�b;�g���
+���m-He/��X Kg�~��k
+?���tS_��s�t��і
�p�Jq����/6�w�ϊ8����f��
%��=J��{�p���e�x
�=��;������O~����
�#\b�
�}�V����c?Q�$SVa?�E�F|Q4�~X`?zKv�o���{����;����}p�;�� ����)�s0!+��0�zƽ��$�R
����XQe:�"�v���C�}g:ߙη�tf G(�	L0�-�����	���o�e�oendstream
 endobj
-2977 0 obj <<
+3278 0 obj <<
 /Type /Page
-/Contents 2978 0 R
-/Resources 2976 0 R
+/Contents 3279 0 R
+/Resources 3277 0 R
 /MediaBox [0 0 612 792]
-/Parent 2975 0 R
+/Parent 3250 0 R
 >> endobj
-2979 0 obj <<
-/D [2977 0 R /XYZ 72 720 null]
+3280 0 obj <<
+/D [3278 0 R /XYZ 72 720 null]
 >> endobj
-2980 0 obj <<
-/D [2977 0 R /XYZ 72 352.322 null]
+3281 0 obj <<
+/D [3278 0 R /XYZ 72 599.614 null]
 >> endobj
-2976 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+3277 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F35 663 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F75 1442 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2983 0 obj <<
-/Length 2196      
+3284 0 obj <<
+/Length 2109      
 /Filter /FlateDecode
 >>
 stream
-x��YY��~�_�� c.
��gv��f�@�yP[t�2���>v�|� m���u&�A^l
E�X�W�қ�W߼ϋ
�D�eWkh�"M/
-i�La��g���_W��S2-��^H"���JƊ�t>!ө�e �v�LM��wn�4�H�����N�57=A�4��~�f]���Z�x��	ϕ�
�̵�y~��sSYҩ�Z�g�*d�9{��:�M�F�2ݰǣ7�w���2�����pb���
es�t�xͷxZ����T
ma�:pw�<�v}����f*Z*iD�k��B	�5��Y�o��g;�
#�6G��i�JI�Jv�W��z
щ�fS��=�>0��
�c2ء�y���K��Q����t�m]�5/p}��
�[���r*���7'�w��e�A���E�&xR�gνr�m
9"OEQ����S�j^�#ݪ��Ӥ-D�!ץHa����(�1���#��Jd��;_���B+O��獞̗B����Ա-�5�c�nR�2
���7�,���=\�E
�1�$����eT|SmW�d���Fe����o��Ҭ���wQ"
mI\�D�h#�v�*�����1M	>^�#�¦�*b�!��5��	&����>DdAn [...]
-(�'��{
	W����`H16����A|�=G�G
�ŕ}_moP�Ѭ�����[��)�&@j$
u4X�ֵ{$g���)��f��[����|i��(�>H�h�sw2B�@�� �2
 ��\��p4��Z_��p�w<3�UG2Z3$��BZ�Ŝl�޼\,MnE��^ܜ]��4mu���d��dmR��En����.��ό�?7���S�z�?G����iws��h w
-�4���J�G��E��X$=1r���Nv��� G�b"����MӒ���5� 4^|��H8�\K�@���L?G^�	�KɤV
���J4ր���G����]�3�s�T��Y�3�ε�;M�0u�&�� o[&Z�c�p@
iM�����մ
�{�9��C�?�	u73�#z��$诫�u}�Oi�SF��Π����c5^&
az�8B�LCPhȯxo��!<?�h�"�I�*�<{���a�I��-&D��o5�72
R<d�=���
|�Q��*�f�Z��_�n���X�^E�b
��O�L҇�J=�'4�6f�`��93ѳ܀�
�3�O�\@�-�oh� �̬�SlZ�<M������Wr�S�h�52��"�PiO!�PY�
'
��֯x�qh�]5n
�"8�=1�QV
-DlH
�C����a����\@&-
S&9��֍G���a7$Q���s�k� 쯯�h(}� �
��m
ˈl�!�
���e�!��ِ
u�ˎ��QG�!��#�Y_$ý��!�?Z=��T�
�(W�m�r�n8��^��
�XIB����Y�Wdp&��A��g��#��ў�^L��!4n��M�V(��!��
D��ퟚ�m�
w~���‚Ҷ��z0B;��i��������;~N?��
r��������W��S�C�s�e��6�J�z.\�
]٬��#
C�>��L�"�I࿥a����Gd�X|�o<�w�̡&��4t%��5>�|i���p�ֆ��C��$0��,-Tr�۵�N�0����^L�Ќw~&��.7�<��9ѰV���Ӯo�U�/Q,��%�{��M���&���?�"��)�$U]sJ�mqFTs�iW�4{x0�<Vk���
w�1�
κ植�0
�s��
Y�
�ڝ�'߶�

Y)̡�t2�Zc�[��p���>����j]A ���ږe
-aL�y�*��@Y��}K�y{w��R�ײ��G��^Z�A�Xo��33�H��~�Ї6%�𖏵b��#����f
0�y�{*�q��6�%�*�-w<1���[�  M���%/h6<��eӺf��R
1��&L6%�7�%������2���ʤ���6^n+
'l����E[�
-�H�׷��5y?v��|{؃�=Uy�C�<���P�|w������?E0�T�B|����
� r(2d�A

-�����P�8�bȓ��X3�2�Th�
-
��X�E*�}\�Tmv�T�
�W*�:j�a�k��X��􊖂s#r
2��D?g�4��K_��,���s<fM�����(S��E���x]����]���E�endstream
+x��YKo�6��WAZ�ˈ��P�
7���n
��a���[���N���
���v��(z��"���|��
={���r�sVI�w���bO��%����}?����\��i���IUf3Y٩���q���w�
+x�{S!�Y
�a
�aݕ]r�~Ô�����-��D����o��l	ϩ#�[�
z,�%<'��.'��.3Zh	Z��n�֋<��
��	خi�c��?��X(���
��0v��oiM��M��Pٻ�qGn����x��R���O���ɞ��VB"�'��]a�!�ڣ�r�p���6��m>����W�s�~~F���N�<���
��9��?+��yA
O��8�����N��1q^�,�t�;Z���g~�2s�����m�"(�Xm*����H��4�+��rKq��D���V������ma
m>�
B����m*��,/
+Zp
�}�
u�ڬ�LW~�e�
¦����"�֜�G$
���1-@]EnqB�C���\��[҅{����
�ηv�nu7�D ۥ'����iBx��T�f)��a��t�91�q�{\��@X�Q�	�if�r�$�/$
�G��g/H����y��Q��@t	%�B� 0������c1#W.8ى�f���
c���,��	�r�cIT,�
Ԗ�7��0�Zx
B�(����YY��dX_��Fi��S�H<�:4
+) �>5
U�,���$���
���Gx�2�
J
AW�
���M���M!;��h��U�Gs�8�p��
�$+Í��á!/�3T�0� x��d�sd1O�!f�d�L��[��
��U<�O�Z\��"����S��`��9Ӣ
�3l3�0�T	�*�]\�p�j����rk
6�#��;%9Lj�Tq3�9���*�H$�ĉD�(���D"�C��Ee�֭_�.4z��6]b&?�#�nމܲ46N�S^�R�{B��nF�__�mB��'��q�=��=���3-"
�i�+f�
+��]yK�ؔ=�\�`�'x~��m�T�a����r�CWT��9U�..��%�~C��o�@ ]�ޠ�_�6NUS�qr$d�(��.{A7T��/Zv�
*-#� j�G*�p̶^����|�Ѣ[t)sX��"̱>˓�	��&��>��s������)���K�h����b;���M�]8�}��J���v�4��
+�I�K�PB��Bt���A[��ҦM���om��j�r;�El�'��R�2_b��eT��Iq��M���ޖ��Fm&<�d]
��Mts8Гѱ��'���e�����}�5.”�@�\��A
�^}%S�髯����H�S�����R��ӿ k�
�\�"��\��‡�հ$
+�����_���u�&��}�,�Z�CX�
._x��U,�wU ���\��
��t����g/���_
+�A�@���W����t�
ȁ9{ j_����4|�x1
X���Q~��
�~��P{U��`1j7 ���,P�����Q�6y0`���eÜXR0���͒~h钊*�j y>���!�.�F��?z�ɡ��h��>a%/�`��Jx�
+� ��^�k΄z��4_��
����ܾ�Y�q�庢�5ˡk��4Ѝ��.�ʰwN�oQ@��w`\�{c�h��xl� d���b,�J	�N�p�8WAc�C���[=[`{�O�z1(L�k���
�
�q��e�v����;G���#F~oJ�
o|�WA��L�׳��Og��!�K�A�y�k���y,
o�̣�(L�+�j
̢ʷ$iA��8֖{��}�B~��ٍ�X��5� Mn;��,P���WA��x#w�]2��x=���.j�;&L�0]���mx*X��_i7�̥�	(��n����}Te��~~�>w��&����X�]�
+��=t
}���ߠ�-zax��m~�9
|_�v�8p���)����K��M�ߎ|�v�h��b�7�	c��mm�m�s�{����$~}"O
y
+����}�!�ء��N�p�-zO+�?�B��
��T�>��fZ��0���C ;�?��g���+��ر�=��խ��͖������&�
 ��ʹ77�i�qV�~'j�`�`��i�J�ڰ�C�5�����*K���ѳ���1endstream
 endobj
-2982 0 obj <<
+3283 0 obj <<
 /Type /Page
-/Contents 2983 0 R
-/Resources 2981 0 R
+/Contents 3284 0 R
+/Resources 3282 0 R
 /MediaBox [0 0 612 792]
-/Parent 2975 0 R
-/Annots [ 2986 0 R 2987 0 R ]
->> endobj
-2986 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [85.376 191.939 203.119 205.886]
-/Subtype /Link
-/A << /S /GoTo /D (cite.McCNel89) >>
+/Parent 3288 0 R
 >> endobj
-2987 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [209.581 191.939 234.986 205.886]
-/Subtype /Link
-/A << /S /GoTo /D (cite.McCNel89) >>
+3285 0 obj <<
+/D [3283 0 R /XYZ 72 720 null]
 >> endobj
-2984 0 obj <<
-/D [2982 0 R /XYZ 72 720 null]
+3286 0 obj <<
+/D [3283 0 R /XYZ 72 698.015 null]
 >> endobj
-2985 0 obj <<
-/D [2982 0 R /XYZ 72 302.524 null]
+3287 0 obj <<
+/D [3283 0 R /XYZ 72 188.743 null]
 >> endobj
-2981 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R /F32 668 0 R /F79 926 0 R /F76 747 0 R >>
+3282 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2990 0 obj <<
-/Length 495       
+3291 0 obj <<
+/Length 541       
 /Filter /FlateDecode
 >>
 stream
-x�URM��0��W��$�eI����-tK�.]XC�M�Xو�#�N �@z�GO�3o���f�=�"��Z'�>\0Y���
-�����5M�*'�i*���V��T���Gyf10�m��n�
�,�Mᴘf�w�w�5��s��D$lE���P��`c�q^4���u1������&%ӺNR��R�oig:R��q@��u��懀~�O�HeE.������N'������	
�d�g
^&2�Ԡ�qX@A�Sy?rY׬�u½�G*5�-q;�9䄞�"��� ʱ����}[ؿ�
���-1E�ם��Gl���u��(�
�,*���q�\��ph
��
-�{z�24��
9��B�&E�̶�l˅�윙������R���L6�}�n}�M%�xt��G�*��g�:�~a�����2C����{�.΄��z�����R���s�ݟ�
�
v^���$蓼dE!�T��@Y���էf���fendstream
+xڍSMo�@��Wp\$��eY ��m*�u���~
0`���F����

VS���ٙٷo��.��͝J� �i9�։����5���"ۻ��\O%J-؍��?�	�;
7�)()%�5����s]ρ��h�p�q�3��
�m���'L�`Dl���F��lx��d�b=�BN�HI�r���8�`*�b�2�.*�j��̾8��ZjmH�U�Z��8TF,[�����9�""��v��(�X�S�	U']O�!w�c����=G���x��0â
�#��jS�T&r<�	�O�B��Z��E$��O"k��j��GM����Ï|�+X>����=7w�V�1Wi*����n�>�)�[�Աx8��so��o]ݑ8R����y�
�|��k�

��� �X�%},��G�i#��)a.�1��R��������Yz
����Wj��Zs~+�o+�2JAb�6�:�-�fE�>�G��3�N�q,Mh�' "�%�
�¾�K�V
�{G7R�D&&u�(Jd�.���Sf����E ^endstream
 endobj
-2989 0 obj <<
+3290 0 obj <<
 /Type /Page
-/Contents 2990 0 R
-/Resources 2988 0 R
+/Contents 3291 0 R
+/Resources 3289 0 R
 /MediaBox [0 0 612 792]
-/Parent 2975 0 R
+/Parent 3288 0 R
 >> endobj
-2991 0 obj <<
-/D [2989 0 R /XYZ 72 720 null]
+3292 0 obj <<
+/D [3290 0 R /XYZ 72 720 null]
 >> endobj
-2988 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R >>
+3289 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-2994 0 obj <<
-/Length 2225      
+3295 0 obj <<
+/Length 2469      
 /Filter /FlateDecode
 >>
 stream
-xڭXY���~��BaG���H�
{� N��H�)
a
Z�����=u5�3�$~!��������W�/~xF+
�F���*2�H����f�
׃�^����?��Ԅ8�\?6+E����-|�ޅ�6��9�x�l�B�S�,�q�	�r^y��`��3N��h�+p�^o�(p���q��_���
�55�d•�n�N
&nG��	]�>t�
:N'�c۠�E�]�
��lHR3A��?r����
�ڥ9��i{�v����u��k��y�~
��-�m	:#Nݑ8���>	�1}*)w��z�� P�F���t�f��9�<��{��2�?
˴���E:��4���/�]o� rnQi�nzP������"vy�#���39~.�[!���X�p���ӴL���
�wF=Dʡ
:��\H\
�㠽���E�M�ɪ�U�O��ּQ.������>�x�yW Vq��m(b'�T�M�Q�}��%p�ж�c\�0�ofGf�V�ZV��*&q���[w�Q��6�E�p_���ֆq6x�
��c'ؠ0�#� [...]
���	�Q_2 .I��tG�2X=��
�z�ѫ6
F'6%6�|`��g�}�
z���s���`3p���t�
���4������K��p�B~Y���?��Gݦv���S:[W�aL&议u(Gyx�(�E�jy�c�����<���
-��)�E%�AU��	E��<̎�p��S��2�����OY����S�-8���~'"��@�o�`���<L��N���N5���p�����,tޱ;��d

:�{����]Z�ݏ��x"'� Y}W�	���h� UhEC�ܢf�5����M�C��N-f
�-�9E��b
-8 �rr����$��5ao*���I�'ف;YA�sG��(.�$�$���D����(ĥ���Lq?vC
��<e���j\�s�5`���ڻ���ܖ�'��v�����Ŀ�.��k����5 ��iO4������1�\j � uQ�d
~H� �p�!T�8a�,�H'8�.E��,�������[]�y&�G�]煣�ĸI�=�,��m��$��d��m�Qj�z�Ǒ�3
-'�������
e8�<�4
�Ȧ�&
3�Qq'(-�X
�*yhc7HKFh�$��:Yq_t�G<S���
wײ]�
8�>M�4e�熉?�g�|84�2����
�c,m1n6]���sU�O,Y��bg&��ή�}7,d޼�y��K
V�Q(�.�|�|� %Kx�
p���k�w#"R�
.P\�� ����C��o�oAsB�uf2��wo�_tv6"t���ju���
fWk������T�9���%wx�,��
�o��
H�98'"&��7�34t�
��tQ.:�x���Ckʢ�i�n�?�Ptj����\�_C9�[P|�+ؑ�;ڶ�)dJ}B�w<��]a�
"=��R���q��n�y��
{?�3~�K�朮׎��J�k
��
t25Q���=EF���
�wal� /}���8j9�r��
*/�]�T�.-ӑ���v�d�s�Q9���X�ݏ�oj>��'L��NȒ�O��%L�<!�:6������X
  ��Q�p�y��/
R���$a#���hƐP���?	c��'N
w'
f>^�O���
*H2hHy�h�X܆�d��7ISqA
�?�a���r�X��M[*}m��4W� �{���
Ҍ龡2"Ɯ�
)��4sL���n;�6	���C�>_8��������R-�.�U�����mW}��N=ܻ!0r�T�3 ���?xZ�Ko��K�"���-�c��q�-����BE��͔�HX��L����-���Ca���[�A +`ɗ�|�~D��,�5+��J�í-!�<�j`�֨h(ˋ�;�A>���A�rk�&1*��+r�7v��0�&��0=�8?�P�
nZ�T
�Ȟ)%���'��os�5� e
��Vx��h��bn��{C�p�YQ�u'��'��90UǞTl��$h,�� [...]
-&���P�9n��� ����hhm�'����fI��J�bWk��c��F
.z[Ppw)�������������
r���O�S��=�t3E��G-=�N�,��fNx8�-��
gE?	�D�5%	�W��‰�'Տ��3� ���`�d��O�ݰ}4tP�X�ah@�č%:�+�~���� ōuendstream
+xڵZYo��~�_a��X
�A69I���b'X�aֻ�$��L��ʒaJ> �=U��ɖ,�Z�fu|uu�/o���LZ�duv�:��̖�(
�.�Yș,<��ٿ.�
+sT�̩�0�9+i�=���Yó��
+�xv<s�[-Ek$�|7��Z�0ڭ2�eY|x�iUt���Ed���m�G��3�ߗn���/�����E�b��{��w�y���͙���_��K$�z���-��(mM�]w/����L���ZSx�p|��v��\T{&a���2g��U-T����$�(�0Z)�h{��ۘJ��O�c� ��Xv��VԄR��|�,�
���8�_�8n߆�q�n��N&<�_�n$���tC�
���q"4*�OU
�?�Uɋ��s�#�F��yI�"Qs6�FS��
�IXը�x���! �N 
�{�?��\���@��40�$'?
���L��ݹ�����������E����ʽvO,�u��EB"��|���ђ��I�
��'
��
�Q7j�kjx at c�u_ۚV�ϜE5:E6C��
�K��} �N4����h�/	������Ky�Yz��4ڃ��E�a��jS���5=se�������/Hz�!9��nd�Z
)g�0#�6�S�.��VV'��T��VnԈ��pFr^�3.r
��� UX��-s���g�8#U��M(�9��L['
�c�
+�}�U˲F6_�kQ��D_�ڀ�~�8�~nhw)�ȸq(� ���H}c"��	
Bk
,�F�ʺ�r�u�K��ڹZY��d��cb7L���|�y�+�Ћ$���j)d��z���O�O9e�$���4�ټ���7c~�v���0�KȽr�
Q�w7���W�����G9[¦G�eX����~���$�;/������
Ϗ���
d	�����
V�Ţ�y2�Q ��22�vi��N|}䵼��n��m
��;�ԯ!�z>�X>D�<R�� =��=�|�r�)L��v�D��`�[2 at 9Ḣ�;�(�J���"P�6wd AOS�';��&.��V>8��ܓ�
+��=��
r�x�ߺX*��
��d[�V�oNM���E��*����8�e�<������!>�^���$�uo8%�񗳘���6YsvH$�y
rp$��Å�-�(�8���B���R�T^GG�qD�PSZ�P���ҵ��xR��y��k�$��f�1fP�Y+Lf�@�+>?+YfS
+	E��6:�)[����Jjm*��P��.c�O��h�H|p�a`�9&��l�9U�M���|�"h���o�H���l*�*�B�j�23�Km2
אj�!XDH9 at h��}��v�։CN���|n��|t�AZY���IvI��bU]��wH��b���lR �g� ��)�
+�q�~��c��|}�<l �sE�6�F[Gl������g�9.��Ҿ�����/A�X��'�� x� s�E���k�Z�$CeMRF�z� N�jd e�5�h+_=HU|\�O����M�+
$����ծ���U@�O��0j�x�n��9q�Q��]GS�iNp=t�����܄sj�T)�A�(B9�\*��W����S�Y-�n�[�"9����=�JB9hx`��z&={���;q�!y|�;���
r��
%_]��H�p��s��B�j�AK�w9I�o�X@�K�l�ֆ��*i��"	!	%@
�Dj%��&T�V�db��kBN��R������j�e�W�R^a�$/^�T��>�71lN�N�j�9��2Ҋ�m_�Fk��Q'qeZ�MwוP&5�M�.����p�G�aRm�0��e]��끁��dا�����NJ�5S�wA�s����Jrx�E�@�(�Y��D�29��V5 �	N�=
���>�G(��ۦ>���Dx��P+�z-�B���d0��Q�\9�#إ��(�a�<:f�Z�%����[Y�O�s�tжF��N�
L�[���F��``/�势h����k����Q���	��Sa$�c֫�
+���t���SK�uj�|�4�`	����؂�Y�61�}z��VS1z�VZ�3<�=rH`��}�z���5#���Q-��m���p�)ߕ*���|�G��Cؕ�ok�
���Ǥ�O}������3͈k�?��y9ca��,"� �7)Ae�ڗk��in�:��>�	�y�.B����7�vb'����􎒛�Y�o��ҁ�
�Xzև�xc
+�Y�?|��{/�[�bZ���>��]�ʖ3��2.Qx�Q,�1����ISz�����{���
+�ܑ���i'U� ]�2xB
+nkou��Aޱp}�x�O��x�X��l��ɡ�;?]
:�����-UJ
��������J�󯭇P&��I�u�~Z�_���y~-��
t���	�Ij��$������?��J� �|$�&��l�jk����=6'����Y&�������(�*�(�4{�G��p���Lendstream
 endobj
-2993 0 obj <<
+3294 0 obj <<
 /Type /Page
-/Contents 2994 0 R
-/Resources 2992 0 R
+/Contents 3295 0 R
+/Resources 3293 0 R
 /MediaBox [0 0 612 792]
-/Parent 2975 0 R
-/Annots [ 2996 0 R 2997 0 R 2998 0 R ]
+/Parent 3288 0 R
+/Annots [ 3297 0 R 3300 0 R 3301 0 R ]
 >> endobj
-2996 0 obj <<
+3297 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [504.536 648.883 533.192 662.831]
+/Rect [112.597 626.981 135.367 640.815]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.15) >>
+/A << /S /GoTo /D (section.12.6) >>
 >> endobj
-2997 0 obj <<
+3300 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [303.041 634.438 331.697 648.385]
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [350.14 191.595 384.016 205.429]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.14) >>
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2998 0 obj <<
+3301 0 obj <<
 /Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [140.654 619.992 169.31 633.939]
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [391.692 191.595 417.068 205.429]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.30) >>
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-2995 0 obj <<
-/D [2993 0 R /XYZ 72 720 null]
+3296 0 obj <<
+/D [3294 0 R /XYZ 72 720 null]
 >> endobj
 450 0 obj <<
-/D [2993 0 R /XYZ 72 720 null]
+/D [3294 0 R /XYZ 72 720 null]
 >> endobj
-2999 0 obj <<
-/D [2993 0 R /XYZ 72 582.811 null]
+3298 0 obj <<
+/D [3294 0 R /XYZ 72 546.446 null]
 >> endobj
-3000 0 obj <<
-/D [2993 0 R /XYZ 72 500.633 null]
+3299 0 obj <<
+/D [3294 0 R /XYZ 72 420.907 null]
 >> endobj
-2992 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3293 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3003 0 obj <<
-/Length 2163      
+3305 0 obj <<
+/Length 1929      
 /Filter /FlateDecode
 >>
 stream
-x��XKo�6��0�
d4fE�h
d�l�Es�fQ��
����R J�&���΃�%�Fs*z��
g�y����o�g�BJQ$��z��
���,�E�@�G�Y�p���ϰ0�,�V&���ܔK<i���W��oS�d[��4�v���*VaP��r%�16�Y�T�C�94MD
Ev��s��˯��
�"K�J�$?l|�ȅ�
��@퓏��Efvٙeo5��r��R�0H�w�Re���0�v5^���^��ˆ��t��{�M��p��h�F�>,����B+f"��b%c�)�6Ը��Q
�z��N
ƾ�H".��t�"��~@Fu��^,J�`$�uox��i�e��
؃=4^o�xU�?&�
���݆7��
0��X`�q[��Җ���B�Tꄎ���D��5�nl*n� ˠ
-��I��HPNA���EG�N�6�-o

�;�X�<�f�-�B�oX|��Y��E�i���9L«
h��
%���(&��
\�P�ho��
�#Qj�nq\�
�	�ل�'I�-V�a�b��������w�۵��JRJH��[?Y���Ayn��3j�?l	��y�U�����M��/�|�P��p�
�:K���M
o��
38	�'^V�f�n}3"�DR%��
��|�ضu
�Pd��<�J�(w�}&��oQ�'4"
-�9�kd���l�
ԩy�Z����'�!�
�%�Ȕ�c�Xܝ�+JE!���Ź���`�D��&�
���ז_R(66]Ӑ&-_ �P�\&3��f��
uI@#W�>o[�9'�|M����`��+O#��0��T*�^
�nQ4�������$�A�����˄��M�"ɝM~탇�� B0x
P
�.�g��a����ȒC��0�&AGY�#aᑌ�n�.�A�hmg��HbN��
�
-E���P�>��PCna�������0?��֦�P2Ml�MCΠq�]|�֌] ��w6�.G
6�'^qd�<H����}�߀Im�?�6�
��NL��K�ץ�G����j�����G�;
�Cx����x5)<@68i��XL���'y�+���o�wvΊ���
�q��mGPšϐ���ds�z@�L�����@X��|�e�/ ���ՇxD
K�
-�y<��
�.�u��?ي1E�Q����Q�-���x��ۈ[��́�G2�mid^��#�,�������
�tţ��X�s��TI
3\������ī�zG@!��$p
�Y/���a2Oz;��=EIJ#�D�`�S�����K
�4�O�kn�t�r��x�͒I�Jpݖ
X0���yl�Y�TL`]
�7.dcG��QK�-�|�cMH���u}�|���um I��2JcFJh� j琱q�rl�r��>9�>�w6M}�ö�sq��W�_���n�p4@1Ǿ���Cx����\F��W~1����y|dƑk��/b3
�P�[N��Ӑ@oy��Y(��T��L�����*�e�atH�a�[n�\s�Q���n�5ֽS f����0����Ц�v<93ScS"R.��ld)��Y4O��ಓ��*^[
-f�ʩ�se�L�d^�\�B���-#b�Æ��.6s���ȋ2Z�uv!��-�B1Ӓ������_#B'Mḷ�r��KLGP�A��^m0i�[�� c����m����HS�\��4��y<)D,'�(��5B�%M��L� �i4e	A��}XGPՆ�*�b��.��,s�
6w_L/3����
֓��C���#�$�"o}?--�mq�<�L�9ܙ�BDE�=�D4~�a�\�_��8*D�c���>���{>�J����A�� �}��a$�^
�
-�d���<xY�}qgO�@.�����_<��"
-��Ç�7���9�mГ#L�
5l,�y�tN�
ee�6��|
뙘 ߇BCi��֣|���1����h��Tl`�!�$ �.9�<����s֛z�w
��pzK�h�^�O!�
�
���
�2 h��OY$��p�!a��-��<l�4p�;������<�J�'2	��U=iKs��i����
�=7ӓ\��}Ͽ��P�b��K�O���{�`���,�b]Ψ
{���=�A#�7�v�g�?~����_�ϝ �b�	�w{�m�����يp<� ��_"������,`*����91�rXDl���~��C�endstream
+xڵXKo7��W9I��,_�ݤ)��	�6H
Ľ��A�W�Z��#���;3
r�-+E{ �
���7O�_KS�H)jkOΦ'R;�
+s�JH���v�,Te�P
+�
+Z�p(@k�]B[B{�9���
z*=�Z�#�'�j���P9�1R�
��9fnܿ�>̫As��[���vg��_��>���z��43��	U�
+f�4����f�9x��}
�C�-��X��Z�
�@Ə`
{`�J'��:�R��}�[{Lb�~d�E!m�s
�ڸ� �|dm�=�qm2.�d\�2d쾅.
��6G�7���J�7
Fx���v$�0l�x
�a�� es���U%M�*
<K�kaTE��ʪJ	�#��`v�!��C�ɩ��֝�t]���1�1��xS�5uW91J#�"pz�~������ʉ��bpR���V,uK`~ZK�ذW�+o��%|N
i��9�1L�L�@���cHL/�ĸ;/8����$��`
�g��,9yɦ?.ZEO�Mcd
+5�	������C�8E����=�<������v
�r�L�ٔ�М���&� Q�;���2�em�|���x 3ƣK-*��5bp��Q.i۳��J=��؛���!*�zL���~s"p�*l��,����5׬�6D�*(��g/Dsi�a_�@*�K��򚧘��m¼�LY����EB���(���ZT����u��Y�5Dc{�! xҘo1g]Ν�
3� Ê>��p@/gɶ��L�n��Q��z�!��!��i��S��"s�E9�ͽ����
+��5�B���|��FȪ�,��R�mP�窐���J��6�3
B�����k� ~k^ݶ��q�Z��q���N�`֋�
iXQ��[b��
+	%����2
��[KQ�u�oT�z�
���=[�=�e!���[�N�
�H�2�3�:ֱs^|�F
�˝�d��J�Zo��(���	���MC���")��jZp"�����҅/�ޭx�(���i U�*�,������U/���
����I�j��'Ʌ.�&^���k~� 3T���i�)�d�#6g
+1��-��
4&U	�K�|7�mr���6�cTD�4��.�����^�ճ�!e@\t�5�6s��B���Ć�Nn���h�v��WlD����S�^<ɆV�ZBu�	�W�I�Zǔg�M��,(ܱJ\2�lX�`�8�&��'���̺2i/��rWJ��{q*zѳj ������\���?��!(c�"d���,�{1��!�O��$ƃYZ�g�7ڽ�
V�
p(9Z�G&%���OC/XTZR� �"�N0�����^t8ܕ�W�hi]�
����N'7
B����.z���C�d�@�t?Xˎ
+&-ϖ�Aq����-xv�jZ�����G�
}Ӊ�y��ބ�9Bic4_yOMm@���l	�I���n(I��B��p �u%�Vi�c 5�2���8H-�
��zR�XA8v!+=��m�L�SJ�.N���Y�Ke��L���}\�ŹD�&��
42W#*Q�pP��$�I��ʆTT�u��mxž
�hM�
+�
#S宱,bB�p3'�ti=�\!��qiR��A�V:��v�q*$6b儮]��
���)�Է��*�jo��
5I"�4Y��/E�D~�r��O�g�IW�y�6>M����:y�.Š�p���uDj��F���W�%WN�9��&(�#��S�
��n�<�4ό�b�c ����c�:Oï������@�'?8{��8�&�HM+
{Or�^䬼�C���
�v|�]�OO�M6�ӟ�����r�Sc��ÿ
����1�\�pN{<D�G�q����C�|�SU����d��4�O�N�*���_g6�a�=x��Sǻ�����x�n�`L�Z���I �
�l��� �j	���u�a
��
^�=��K at 9endstream
 endobj
-3002 0 obj <<
+3304 0 obj <<
 /Type /Page
-/Contents 3003 0 R
-/Resources 3001 0 R
+/Contents 3305 0 R
+/Resources 3303 0 R
 /MediaBox [0 0 612 792]
-/Parent 2975 0 R
+/Parent 3288 0 R
+/Annots [ 3307 0 R 3308 0 R 3309 0 R 3310 0 R 3311 0 R 3312 0 R 3313 0 R ]
 >> endobj
-3004 0 obj <<
-/D [3002 0 R /XYZ 72 720 null]
+3307 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [455.338 704.06 501.9 717.894]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-3005 0 obj <<
-/D [3002 0 R /XYZ 72 614.293 null]
+3308 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [507.837 704.06 533.214 717.894]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Andrews91) >>
 >> endobj
-3006 0 obj <<
-/D [3002 0 R /XYZ 72 257.398 null]
+3309 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [449.991 687.793 540.996 700.336]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-3007 0 obj <<
-/D [3002 0 R /XYZ 72 262.27 null]
+3310 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [147.912 672.677 175.883 686.512]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-3001 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F79 926 0 R >>
-/ProcSet [ /PDF /Text ]
+3311 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [182.33 672.677 207.707 686.512]
+/Subtype /Link
+/A << /S /GoTo /D (cite.LumHea99) >>
 >> endobj
-3010 0 obj <<
-/Length 2102      
-/Filter /FlateDecode
->>
-stream
-xڵYK��6��W�થ�L�x�:�������JU��쁢�j(rLR9�~��%�ff�\(l4��u�t���g��(%����݊&��T�T��D������u,���5�
�{xV
[]���6�	���S�q���_�
<w
�ƕ
~ꁚ��{�U��� B��{$�[|��
r�
H�}�����
��_8�
�9�E�-�p]"a��g��q��P�{�Vx\=.~������DZN�U�u�Y���2*�c���n
/�n��
^TT�
jܵ)��n>���F�z�$�j����v��5�`%r팅���V�E�,�v��FG��0��UF=Z�t�\�r���*��
���}�
���iЃ�
-*c��}�
j3T
~��Ύ
�
,�3b=�c\����� �
�7�A�����"�	����PFA��4@@M��:J��\�,��tns^Pg��}��=\���u��R}\x͏�)��s��ϋ���Df��J0��E�{�E	'�~�]�����M(�Ё��Ҕ�Q�t���s?�CaÄ��z�����p���pE^
�n$�I�l����{�����
D���B, z
����|��
���Z��W;�"�	��i����qs�,��X�*���si�r9[
v��3�eh
��[��h�����N�P�,Z+�T�ue�D:���㽾��,,�g,��r���y���	VԵ�r�o�A�w�y h2p1eQ�!־����.�m[�D�c=�ᢅV�
-���<�8��������(MU����d�)/���vi;
Q���.֤%
��c
#��)#\O�{�׋�ѩn_�HP�-�_��B|A�b,� �88:v�d���\F����fa��5���b
<�o��=���;�N3�~
����{���[C�CS�c(�M�C��T�����U��
-L����X~r��Q��]���H�R$W�9%*g��pC��(�2��i6#�p)]u���n
-ӗ@�m��U�֡��9Ku;�k;�b¼�@kJbS��I9�֐�a\�� P%
-�wR#�{~��
>v8�v���@�dML��r�`��9`�r9V�����N̠1ඞ�2��7�H���ES��0A��9�

-�L�r_@},QN�L{x0?M�
�}�<-� 1P���z��-tOX/�JR�W�g�(�p���mƒ��T�OS�4����K)%
���Ҁ����eHݚ/���8��ͱSQD8�~
���T^�C�S���1��K@MQ�[�J���#�����$9�s�Q��$4�9�n�$da����_b`0���"�	"�
`n�n�Jx��
y��L�!�
,�И�R�ذ�ꍙD�|��
vU�!'U/
R�
!�kC���Pѯc�<�"P�D.^R-^����!8��f"��3%�wEįp�Ó«�0%���
9$�R����f�&��	'�}��% �h�Shg���U��"�
05��t8�9�\M�$�H��@��,��.�I�p�S&�aLYi��o��
�<.N�����1� ���̜�`rwlJ{e����ԝq�7�F�-������=
��q>�~��Gh5lQ��B-�CU`
ft!�g%<����W�r���>����7��,%B���Ÿ�Qp��&e2gV+ڱ
Lc�B?u)I�.ʝ ��ܧ��kLs8݇��o�K9av���avϵ�4�2��+�%��9��8d]��B���Ϋ���Bu?C�1��}��|]غK���
:�NK�:�>�B��������`��}��J�n"ɗ
r����@:�KęwZ6>(��p;�Ȥ�/-f3��y2!�-���+�x
-�8��R�z-��U��4�Pv�"�X��� 6+�'�șTE�.�)�=��p�by[�-�k�A�
�Y�|!:�cƊ��4�]�9"3)�wR|2��W�#��7���w0�r�-�Kh���@�=T�T��F�a���
��?�S�������n�J��0Q
��Y�.쓁����'����yH5��	T!X�`9s�L Ì0Lm�����t�
������x7"�6�i������ϡX�[��6�5Kg7��g\e���N�L�l��� �:s�2s����|���b�endstream
-endobj
-3009 0 obj <<
-/Type /Page
-/Contents 3010 0 R
-/Resources 3008 0 R
-/MediaBox [0 0 612 792]
-/Parent 3014 0 R
+3312 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [239.774 561.594 273.651 575.428]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-3011 0 obj <<
-/D [3009 0 R /XYZ 72 720 null]
+3313 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 0]
+/Rect [280.099 561.594 305.475 575.428]
+/Subtype /Link
+/A << /S /GoTo /D (cite.Zeileis04) >>
 >> endobj
-3012 0 obj <<
-/D [3009 0 R /XYZ 72 548.398 null]
+3306 0 obj <<
+/D [3304 0 R /XYZ 72 720 null]
 >> endobj
-3013 0 obj <<
-/D [3009 0 R /XYZ 72 384.19 null]
+3314 0 obj <<
+/D [3304 0 R /XYZ 72 485.542 null]
 >> endobj
-3008 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F51 1171 0 R /F78 924 0 R /F76 747 0 R /F32 668 0 R /F52 1472 0 R /F48 554 0 R /F54 1447 0 R /F35 1440 0 R >>
+3303 0 obj <<
+/Font << /F149 920 0 R /F126 638 0 R /F29 544 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R /F167 1942 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3017 0 obj <<
-/Length 1984      
+3317 0 obj <<
+/Length 759       
 /Filter /FlateDecode
 >>
 stream
-x��YKo�F�ϯ9p ��~�����l
$@���8��
%qw�#�G�۷��I�RS
EZ�^f�Y]U]�����_�N͒sf�^
�.�X�$c����]�s�W+ɣvţ���*�FG{�R�aI��yTM�z��W�M6��
��2�q8��!xB
E:^șI�2qk�ρ��Ҩ��X��������J�(�v�-���hO�$���Ly�J�Ď�&�~ŗ)�=W�e��1�G��:j{Q.��	(�
��N�M������P�����^���Vt7�?�O�-PYtC�����
�\�\iƕ�S*u
6�z���y酙h�He�R��|�2	�9ȜH)���K�ҼS����_)KUOැ��j=Q�0Yt %&l6,���h�4̚�0�b�J��
�����Ú#<� A0h��"�fJ��\�N�"t�3棓�H`�0a�X#�k�~�� (+���Yy��VT`_`��9&��=�M[�%�`M���|���F�>C&j����\�������d�]
?�������K�:n��bR�S
Z�@F�${\XRJ��x�����@h
A`¹��g��eI�=Wp��pPpB���ڋ���k�.i[}(RJG����w�m���M�\�t���J�
��x@�G!�2`j
��]��w���}�^�r�,u�|�.Z5��9���mYg�9������mJ�ub�#���Lu
U7-	�)�+�����t؊��l)�ts`�}����=Iq�>l
-��-�!K���������}Pw���z.�@B��6,�m���x +	�ҏ�$>�I*l���ؘx�Ō�P�C��{�'3fd�8� `Ij�G5��gM����!7�
`*x#4�+��ݬ.��E�h{�'\oƿ
����fꃂ4�
-��`�˝8�{��+��˛7t��8`���&:q�����
���q&'eL
Fv4c��z���^�
">#���ڔ
R��
c���h�6�7/|�gw�up��do�������a��
�hw�>{��.=�}o�w��X��s�F�FZ�R�
-A�2�ŝ�Z�J*�39�?�3'J��wN'j��xu�Xm�]
Y�r(*
,PWی������L�b)%2]�w��w��f�,�_$L��\A ������r�m�,~
H�=�xD�>#H=1��D %��� �g)�*�LI#�=`��@f�!8C] >&5{ЈN,���Ac
 ˆ�( 	�ew
hDldp��Q��0�<L���Lp=C_4Dٯ8�aO���,��T�.X
-��u���Iu �U�V�ޏ:�bV�@9z�Tβ���Ρ����
��-(�+0A�zm �z���P� 
��*�����J1)�!"�WO��t��
�I-��ˢ��r��
u]�����m^���裡ҫK\~�-��/'��QD���ո�8o������yX���j���!��7vw�+�7��T�����0f��BFâTs�
����0��
_�:@��ީ1���-
O1�0��jq�)pq�
�
-؛�:/�
��ϊ���t�]�gҵ��#���I��,5�#�����f)
$Xӓ ���� �p"dun� �y�O�
q��`�'
� ?���N���0��'�G
@�c��h�q���
?*`I5�|M
����Ֆ��-B����$�	��Tx0��	L����;�	u �PO�g��0��|}��ro2�:�
я
���k�c�+��|
C���>��3=�Y�>:u-Q��Sj�o�
{I��myF��~��g	�^XLh��<j������Ҿ�����ϊ�]���'��f必u����7\X{YWl�0�z�	�Vw�����u���/|�>�$~�d���쪗��L>x��ܕ ��Xs
��16U�g��.����
�����_�����ސ����
N��=�9�oy5��߾qz�GOZ�$
-k�<�4Z1�%�=
-�/����endstream
+xڝVKo�@��WX=�j�x�o

+��ֈpp��Ik'�q�33;�ݸ�
+(�x=���7��p�(¼,�8Iôpg��޺QXdY.Hľ���ɄɇV����s��3�vc��r&gB$�3,�ԭn.�X$a"s�������j8-��|5~�$�'����$�>�u���/c�ߩ�;�.�l�\+�i������"a��ˤw���ծ'ePL��-Dz��w7Gr�M�E�^�j!�>e�H땡wp%���^}t�8I)㮙�pPf�"�3 �`
+R�"U]R���@f�� qQp���I`"s��w觿V�-��kΆ�(

+�J@�Y=���T�:ze1;>��#���T�R����Է(��r=�W`�C*:��D�@��9�5#�b�dJ�vVܝ"�����<B(w
CO
+WPlz-�Z�#�2�"��V�nފ:��Ad��
 ���T��A*c����v�F*�k�F��5����ga��8��[=t&?
FH>V��vpcKܰ�
�����"��D�%���1&JR�-�D�
L���<�Ț[��鍉f�&O
icyY�)
�&a7��^JGƐ^/�=�HX��
+(�	��i���H2�5 �a�`�Q�G�;JA�ƌ�M�^*��w_o���V@����T�����^u�5?z:
"C{*n����U����%�3AϏ�?������sԫa��v�
q��/?M�`��*�S��6#WK��0�F��������q�3��I��2�I4��5= �L+���4endstream
 endobj
-3016 0 obj <<
+3316 0 obj <<
 /Type /Page
-/Contents 3017 0 R
-/Resources 3015 0 R
+/Contents 3317 0 R
+/Resources 3315 0 R
 /MediaBox [0 0 612 792]
-/Parent 3014 0 R
->> endobj
-3018 0 obj <<
-/D [3016 0 R /XYZ 72 720 null]
->> endobj
-3019 0 obj <<
-/D [3016 0 R /XYZ 72 697.999 null]
->> endobj
-3020 0 obj <<
-/D [3016 0 R /XYZ 72 177.922 null]
+/Parent 3288 0 R
 >> endobj
-3015 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F32 668 0 R /F51 1171 0 R /F48 554 0 R /F35 1440 0 R /F52 1472 0 R /F41 1704 0 R >>
+3302 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/relogit-Example1Plot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 3320 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-3023 0 obj <<
-/Length 2352      
-/Filter /FlateDecode
+/Font << /F1 3321 0 R /F2 3322 0 R /F3 3323 0 R >>
+/ExtGState <<
+>>>>
+/Length 3324 0 R
 >>
 stream
-x��YKs����W�X%�b��*[^����-%�$�$�"P P��?���
��Z9v�r!�y����k����woU~&�(���zs�ՙ���Sx��
�7�]\$��
�D�
_�hW.6����խ��@�K
��Rx�Qݔ��{�v��ж+Ǻ���7/�q�����x"�ʍP�8��4�
d4�ؙ�I&b����D��P����Zg<�E1w~��q����G���Q'�
v<���4�2�h��]�*&;���H�܍�z��
M�h��n;z!-&&�[\�9�a���UO�U=�.(Z_���ǖ:p��F@��#Y�5��S�%<~;��jar�ra�'��$�p��
�����ʅ��
���
y*tjf8�m�JN���~�'d�k�
�$ƾ�k��v%���޻
�R�`�ECLp����~��A�g��%
PK�
���QoJ�L4�#�-�4�;T���I
-��
�2 ��S�-�t�dJIJ�눌W!�
O���n��B��g��䕱�3�Xn{�c�zZ_z����,���
6p��Y����d�
#Ef e
̥�㽒qH)t���vaT�w��O6+��1�d��}M
?[��6i.��O�?��_�I� ��|�z
l�4���
 �QVL�l�;���mg��������������T�pTiA��q�d�Jd�|������-�f6�G��Ȓ}"4�O
�0��|���
ƚl�q
-�t&]�,� 
65�mA%��/d!�ꞧ�	qD�;�0e at C90Y
%�Ca�<�r�S�˦���c�	�D�s�-�z���*�L�����������F��<���j�]d_��
-���@T쀠VH���֐(J(]̉�L]q)� ��


��'I����Q��5�18��:�.���
���#�W�U����A�Z4�����r
�R3y3��`�(R����F��
݃m�Yd�#U̓�k�kJ5܌u�6˺�5
q��,]����3.�S�d���;G'�{���]��C]:4AiS�졣�v��
\�i�~�5�"���A�Y���p��s���=݊
����X��4�I�m5�����f�d���,KE
�������9'�
��
�U�����s�l
�9����xt�;��������P�eX�(�Ϗ��P�!
 k��P��:�[��$N��.����
 /��#�1x�z�&�g�D*�	Ty���pV��dO����ܹLqU��
k?app�A��b���D���=|h|�D+��|����
-
-ROŭT���!�Z`���kj���~�z[ՏQ��J0qspys508u���G0�-1��/
�5 $�9X�yïaS=�8&T[Qi��Ec��09D�Ю-u�����$1��Jg}X��#�s<�	�ʓWb(�S-'mZ��Ї�Y������3��������:t
��D�)�'O�CK���_�
��l�W+Jm�]=����&gPb�a���=�1���Ns��U�yb��$P��'�E4c��h��.�ij��
��	�l���ҧB�9�n�ዕÕƖg|�!4��-��!�Mb6M�/�#
�8i&Q���?��Wr��3�,	&aC�������l�a���Yj����oP0:>HfG�g�o6�A:F�}�%�p4k�Clp�
l�W��E�
��
7(
O���ec��"�Bj��%]�'|O�"c�ڏ���P`�-ʜy�7��,7�.��^& c�������B16��зٷ���>4`]�&�=Oq՚�
���˻r�;�RKS�z�
-uS7�����z����7���T6���:T/��^T畽��FGKAM?���b��
��W��8?]�<G场�G���1�z��&8S�P9� �H
�K.Q 
��J��+A�o��i��g' ����%�c­`l�Q�9�9[֬$��|��S�"��r}��r�S�mwO���i	�e׎\ \�۲�#>K�]�4U3J��s�[�{�[��E�C��δr��H�h��a{�Y̶�r(]@���l�y�;����7ɸ �Oi�7��M
.߽��_�2���z�a�ҝ~t--5���w;�#4�D?��`駸�
;��F^�#���}h�p~��h���C0e�\�v`�^��7�s�*\f���E��x��:n;�$��Y,�{�'Gt�?
pI��
9���J:�_	�X���3.�.
-��Z���Y�fѻ�H�
-�
x؇����`��!�}ίK��0����1< �A��g��5%���ߑ�`��W�c��;�����?��-~�	e_��BK},"%^��.l�
�OzZ����}>,�M�-7��
��o����� ��%�9�Pf�������oGw�endstream
+q
+Q q 0.00 216.00 432.00 216.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.40 359.28 54.55 re B
+57.60 343.85 0.72 54.55 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 301.36 Tm (Y = 0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 366.82 Tm (Y = 1) Tj
+ET
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 167.43 412.57 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.93 233.28 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 273.60 m 417.60 273.60 l S
+57.60 273.60 m 57.60 270.00 l S
+129.60 273.60 m 129.60 270.00 l S
+201.60 273.60 m 201.60 270.00 l S
+273.60 273.60 m 273.60 270.00 l S
+345.60 273.60 m 345.60 270.00 l S
+417.60 273.60 m 417.60 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 54.26 253.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 122.93 253.44 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 194.93 253.44 Tm (40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 266.93 253.44 Tm (60) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 338.93 253.44 Tm (80) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 407.59 253.44 Tm (100) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.40 l
+72.89 62.41 l
+73.54 62.41 l
+74.19 62.41 l
+74.85 62.42 l
+75.50 62.42 l
+76.15 62.42 l
+76.80 62.43 l
+77.46 62.44 l
+78.11 62.45 l
+78.76 62.45 l
+79.41 62.47 l
+80.07 62.48 l
+80.72 62.49 l
+81.37 62.51 l
+82.02 62.52 l
+82.68 62.54 l
+83.33 62.56 l
+83.98 62.59 l
+84.63 62.61 l
+85.28 62.64 l
+85.94 62.67 l
+86.59 62.71 l
+87.24 62.74 l
+87.89 62.78 l
+88.55 62.83 l
+89.20 62.87 l
+89.85 62.92 l
+90.50 62.98 l
+91.16 63.03 l
+91.81 63.09 l
+92.46 63.16 l
+93.11 63.22 l
+93.76 63.29 l
+94.42 63.37 l
+95.07 63.44 l
+95.72 63.52 l
+96.37 63.61 l
+97.03 63.70 l
+97.68 63.79 l
+98.33 63.88 l
+98.98 63.97 l
+99.64 64.07 l
+100.29 64.17 l
+100.94 64.27 l
+101.59 64.38 l
+102.24 64.48 l
+102.90 64.59 l
+103.55 64.69 l
+104.20 64.80 l
+104.85 64.91 l
+105.51 65.01 l
+106.16 65.12 l
+106.81 65.22 l
+107.46 65.32 l
+108.12 65.42 l
+108.77 65.51 l
+109.42 65.61 l
+110.07 65.70 l
+110.72 65.79 l
+111.38 65.87 l
+112.03 65.95 l
+112.68 66.03 l
+113.33 66.10 l
+113.99 66.18 l
+114.64 66.24 l
+115.29 66.31 l
+115.94 66.37 l
+116.60 66.43 l
+117.25 66.49 l
+117.90 66.55 l
+118.55 66.60 l
+119.20 66.66 l
+119.86 66.71 l
+120.51 66.76 l
+121.16 66.81 l
+121.81 66.87 l
+122.47 66.92 l
+123.12 66.98 l
+123.77 67.04 l
+124.42 67.10 l
+125.08 67.16 l
+125.73 67.24 l
+126.38 67.32 l
+127.03 67.40 l
+127.68 67.50 l
+128.34 67.61 l
+128.99 67.73 l
+129.64 67.86 l
+130.29 68.01 l
+130.95 68.18 l
+131.60 68.36 l
+132.25 68.56 l
+132.90 68.79 l
+133.56 69.05 l
+134.21 69.32 l
+134.86 69.63 l
+135.51 69.96 l
+136.16 70.32 l
+136.82 70.72 l
+137.47 71.15 l
+138.12 71.60 l
+138.77 72.09 l
+139.43 72.61 l
+140.08 73.17 l
+140.73 73.77 l
+141.38 74.39 l
+142.04 75.04 l
+142.69 75.72 l
+143.34 76.44 l
+143.99 77.18 l
+144.65 77.95 l
+145.30 78.74 l
+145.95 79.55 l
+146.60 80.38 l
+147.25 81.24 l
+147.91 82.11 l
+148.56 83.00 l
+149.21 83.90 l
+149.86 84.81 l
+150.52 85.74 l
+151.17 86.68 l
+151.82 87.63 l
+152.47 88.59 l
+153.13 89.56 l
+153.78 90.54 l
+154.43 91.53 l
+155.08 92.54 l
+155.73 93.55 l
+156.39 94.59 l
+157.04 95.63 l
+157.69 96.69 l
+158.34 97.77 l
+159.00 98.87 l
+159.65 99.99 l
+160.30 101.12 l
+160.95 102.26 l
+161.61 103.43 l
+162.26 104.61 l
+162.91 105.81 l
+163.56 107.02 l
+164.21 108.24 l
+164.87 109.46 l
+165.52 110.70 l
+166.17 111.93 l
+166.82 113.16 l
+167.48 114.38 l
+168.13 115.59 l
+168.78 116.79 l
+169.43 117.98 l
+170.09 119.14 l
+170.74 120.27 l
+171.39 121.39 l
+172.04 122.47 l
+172.69 123.52 l
+173.35 124.55 l
+174.00 125.54 l
+174.65 126.51 l
+175.30 127.44 l
+175.96 128.36 l
+176.61 129.25 l
+177.26 130.12 l
+177.91 130.97 l
+178.57 131.82 l
+179.22 132.67 l
+179.87 133.51 l
+180.52 134.36 l
+181.17 135.23 l
+181.83 136.11 l
+182.48 137.02 l
+183.13 137.95 l
+183.78 138.93 l
+184.44 139.94 l
+185.09 140.99 l
+185.74 142.08 l
+186.39 143.22 l
+187.05 144.41 l
+187.70 145.65 l
+188.35 146.94 l
+189.00 148.27 l
+189.65 149.64 l
+190.31 151.05 l
+190.96 152.51 l
+191.61 154.00 l
+192.26 155.51 l
+192.92 157.04 l
+193.57 158.59 l
+194.22 160.15 l
+194.87 161.70 l
+195.53 163.25 l
+196.18 164.78 l
+196.83 166.29 l
+197.48 167.78 l
+198.13 169.21 l
+198.79 170.60 l
+199.44 171.94 l
+200.09 173.22 l
+200.74 174.44 l
+201.40 175.58 l
+202.05 176.63 l
+202.70 177.61 l
+203.35 178.50 l
+204.01 179.30 l
+204.66 180.02 l
+205.31 180.63 l
+205.96 181.15 l
+206.62 181.57 l
+207.27 181.91 l
+207.92 182.16 l
+208.57 182.33 l
+209.22 182.40 l
+209.88 182.40 l
+210.53 182.32 l
+211.18 182.18 l
+211.83 181.99 l
+212.49 181.73 l
+213.14 181.42 l
+213.79 181.08 l
+214.44 180.70 l
+215.10 180.29 l
+215.75 179.86 l
+216.40 179.41 l
+217.05 178.95 l
+217.70 178.49 l
+218.36 178.02 l
+219.01 177.56 l
+219.66 177.10 l
+220.31 176.64 l
+220.97 176.20 l
+221.62 175.76 l
+222.27 175.33 l
+222.92 174.91 l
+223.58 174.50 l
+224.23 174.10 l
+224.88 173.70 l
+225.53 173.30 l
+226.18 172.90 l
+226.84 172.50 l
+227.49 172.10 l
+228.14 171.68 l
+228.79 171.26 l
+229.45 170.83 l
+230.10 170.38 l
+230.75 169.91 l
+231.40 169.43 l
+232.06 168.93 l
+232.71 168.40 l
+233.36 167.86 l
+234.01 167.30 l
+234.66 166.71 l
+235.32 166.10 l
+235.97 165.47 l
+236.62 164.82 l
+237.27 164.16 l
+237.93 163.47 l
+238.58 162.77 l
+239.23 162.06 l
+239.88 161.34 l
+240.54 160.61 l
+241.19 159.86 l
+241.84 159.11 l
+242.49 158.36 l
+243.14 157.60 l
+243.80 156.83 l
+244.45 156.07 l
+245.10 155.30 l
+245.75 154.53 l
+246.41 153.76 l
+247.06 152.99 l
+247.71 152.22 l
+248.36 151.44 l
+249.02 150.67 l
+249.67 149.89 l
+250.32 149.12 l
+250.97 148.34 l
+251.62 147.56 l
+252.28 146.77 l
+252.93 145.99 l
+253.58 145.20 l
+254.23 144.42 l
+254.89 143.63 l
+255.54 142.85 l
+256.19 142.06 l
+256.84 141.28 l
+257.50 140.50 l
+258.15 139.73 l
+258.80 138.97 l
+259.45 138.20 l
+260.10 137.45 l
+260.76 136.71 l
+261.41 135.98 l
+262.06 135.25 l
+262.71 134.53 l
+263.37 133.82 l
+264.02 133.12 l
+264.67 132.42 l
+265.32 131.73 l
+265.98 131.04 l
+266.63 130.35 l
+267.28 129.66 l
+267.93 128.96 l
+268.58 128.26 l
+269.24 127.55 l
+269.89 126.82 l
+270.54 126.09 l
+271.19 125.33 l
+271.85 124.54 l
+272.50 123.74 l
+273.15 122.92 l
+273.80 122.07 l
+274.46 121.18 l
+275.11 120.27 l
+275.76 119.33 l
+276.41 118.37 l
+277.07 117.38 l
+277.72 116.36 l
+278.37 115.31 l
+279.02 114.24 l
+279.67 113.16 l
+280.33 112.05 l
+280.98 110.93 l
+281.63 109.80 l
+282.28 108.66 l
+282.94 107.51 l
+283.59 106.37 l
+284.24 105.22 l
+284.89 104.08 l
+285.55 102.95 l
+286.20 101.83 l
+286.85 100.72 l
+287.50 99.63 l
+288.15 98.55 l
+288.81 97.49 l
+289.46 96.46 l
+290.11 95.45 l
+290.76 94.46 l
+291.42 93.49 l
+292.07 92.55 l
+292.72 91.65 l
+293.37 90.76 l
+294.03 89.91 l
+294.68 89.08 l
+295.33 88.28 l
+295.98 87.51 l
+296.63 86.77 l
+297.29 86.05 l
+297.94 85.36 l
+298.59 84.70 l
+299.24 84.06 l
+299.90 83.46 l
+300.55 82.88 l
+301.20 82.32 l
+301.85 81.78 l
+302.51 81.26 l
+303.16 80.76 l
+303.81 80.28 l
+304.46 79.81 l
+305.11 79.36 l
+305.77 78.92 l
+306.42 78.48 l
+307.07 78.06 l
+307.72 77.64 l
+308.38 77.22 l
+309.03 76.81 l
+309.68 76.40 l
+310.33 75.99 l
+310.99 75.57 l
+311.64 75.16 l
+312.29 74.74 l
+312.94 74.32 l
+313.59 73.90 l
+314.25 73.48 l
+314.90 73.05 l
+315.55 72.62 l
+316.20 72.20 l
+316.86 71.77 l
+317.51 71.35 l
+318.16 70.93 l
+318.81 70.52 l
+319.47 70.12 l
+320.12 69.72 l
+320.77 69.34 l
+321.42 68.96 l
+322.07 68.60 l
+322.73 68.26 l
+323.38 67.93 l
+324.03 67.62 l
+324.68 67.32 l
+325.34 67.05 l
+325.99 66.79 l
+326.64 66.56 l
+327.29 66.35 l
+327.95 66.15 l
+328.60 65.98 l
+329.25 65.82 l
+329.90 65.69 l
+330.55 65.57 l
+331.21 65.47 l
+331.86 65.39 l
+332.51 65.32 l
+333.16 65.27 l
+333.82 65.22 l
+334.47 65.19 l
+335.12 65.17 l
+335.77 65.15 l
+336.43 65.13 l
+337.08 65.12 l
+337.73 65.11 l
+338.38 65.11 l
+339.04 65.10 l
+339.69 65.08 l
+340.34 65.07 l
+340.99 65.04 l
+341.64 65.02 l
+342.30 64.98 l
+342.95 64.94 l
+343.60 64.90 l
+344.25 64.84 l
+344.91 64.78 l
+345.56 64.71 l
+346.21 64.64 l
+346.86 64.56 l
+347.52 64.47 l
+348.17 64.38 l
+348.82 64.29 l
+349.47 64.20 l
+350.12 64.10 l
+350.78 64.00 l
+351.43 63.90 l
+352.08 63.80 l
+352.73 63.71 l
+353.39 63.61 l
+354.04 63.52 l
+354.69 63.43 l
+355.34 63.35 l
+356.00 63.27 l
+356.65 63.20 l
+357.30 63.13 l
+357.95 63.07 l
+358.60 63.01 l
+359.26 62.96 l
+359.91 62.92 l
+360.56 62.88 l
+361.21 62.85 l
+361.87 62.82 l
+362.52 62.80 l
+363.17 62.78 l
+363.82 62.77 l
+364.48 62.77 l
+365.13 62.76 l
+365.78 62.76 l
+366.43 62.77 l
+367.08 62.78 l
+367.74 62.78 l
+368.39 62.80 l
+369.04 62.81 l
+369.69 62.82 l
+370.35 62.84 l
+371.00 62.85 l
+371.65 62.87 l
+372.30 62.88 l
+372.96 62.89 l
+373.61 62.90 l
+374.26 62.91 l
+374.91 62.92 l
+375.56 62.93 l
+376.22 62.93 l
+376.87 62.93 l
+377.52 62.93 l
+378.17 62.92 l
+378.83 62.92 l
+379.48 62.91 l
+380.13 62.89 l
+380.78 62.88 l
+381.44 62.86 l
+382.09 62.85 l
+382.74 62.83 l
+383.39 62.81 l
+384.04 62.79 l
+384.70 62.76 l
+385.35 62.74 l
+386.00 62.72 l
+386.65 62.69 l
+387.31 62.67 l
+387.96 62.65 l
+388.61 62.63 l
+389.26 62.61 l
+389.92 62.59 l
+390.57 62.57 l
+391.22 62.55 l
+391.87 62.53 l
+392.52 62.52 l
+393.18 62.50 l
+393.83 62.49 l
+394.48 62.48 l
+395.13 62.47 l
+395.79 62.46 l
+396.44 62.45 l
+397.09 62.44 l
+397.74 62.43 l
+398.40 62.43 l
+399.05 62.42 l
+399.70 62.42 l
+400.35 62.41 l
+401.01 62.41 l
+401.66 62.41 l
+402.31 62.41 l
+402.96 62.40 l
+403.61 62.40 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+63.98 57.60 m 383.66 57.60 l S
+63.98 57.60 m 63.98 54.00 l S
+117.26 57.60 m 117.26 54.00 l S
+170.54 57.60 m 170.54 54.00 l S
+223.82 57.60 m 223.82 54.00 l S
+277.10 57.60 m 277.10 54.00 l S
+330.38 57.60 m 330.38 54.00 l S
+383.66 57.60 m 383.66 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 45.64 37.44 Tm (0.0018) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 98.92 37.44 Tm (0.0020) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 152.20 37.44 Tm (0.0022) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 205.48 37.44 Tm (0.0024) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 258.75 37.44 Tm (0.0026) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 312.03 37.44 Tm (0.0028) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 365.31 37.44 Tm (0.0030) Tj
+ET
+57.60 62.39 m 57.60 176.44 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 85.20 m 54.00 85.20 l S
+57.60 108.01 m 54.00 108.01 l S
+57.60 130.82 m 54.00 130.82 l S
+57.60 153.63 m 54.00 153.63 l S
+57.60 176.44 m 54.00 176.44 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 59.06 Tm (0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 94.67 Tm (1000) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 140.29 Tm (2000) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 196.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-3022 0 obj <<
-/Type /Page
-/Contents 3023 0 R
-/Resources 3021 0 R
-/MediaBox [0 0 612 792]
-/Parent 3014 0 R
->> endobj
-3024 0 obj <<
-/D [3022 0 R /XYZ 72 720 null]
+3320 0 obj
+<<
+/CreationDate (D:20070601024512)
+/ModDate (D:20070601024512)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+3321 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+3322 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 3325 0 R
+>>
+endobj
+3323 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 3325 0 R
+>>
+endobj
+3324 0 obj
+10739
+endobj
+3325 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+3318 0 obj <<
+/D [3316 0 R /XYZ 72 720 null]
 >> endobj
-3025 0 obj <<
-/D [3022 0 R /XYZ 72 274.299 null]
+3319 0 obj <<
+/D [3316 0 R /XYZ 72 292.271 null]
 >> endobj
-3021 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F79 926 0 R /F78 924 0 R /F67 564 0 R /F76 747 0 R >>
+3315 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R >>
+/XObject << /Im29 3302 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3028 0 obj <<
-/Length 2540      
+3329 0 obj <<
+/Length 942       
 /Filter /FlateDecode
 >>
 stream
-xڕYY�۸~����'*a	����qƵN��0;N�n�	�X+�*��é�oO_���
��D�������>$�N������"5i���¨�w��B*�����?~���G��H��\���s�j���}=���ΉQ�ֲ��bi�0�):X�K�'���"�A���{&�-��ԺDr
��W@J��
�ۆgV�A�������RN_�r�%
����l�g�F)|G��`�
U4�
0F��Z�6 ���n�2�,�I.4
��KQ��$�d��۵;hr\i�J��&'��X����kA�4(]��P���m����)�Z��b+7$2~Z�
�
Ѻ�[�h*$wӅ-8�dB���A_�t�3_�8�Ow�⮫��F�l�_,�U�&$��,��:
�����	
�!�V��'<�o�f�-��n[4
~P�
�u0
|:���"��p���f�U���G��dd����nCK
r��y��������ma<�ETv��\9ԭH��-hK��P�	��r<��ؔ�������:�Չ+<Z�`��]-6���.F!Ʌ�}'Sk�����6Sq�r5�
�y ���0���I{�N�\��x�tŔm:ȞE'_v�2@Ϫ�S�,
���1���+ْ��Z�Y���B���,�2j����
���nM�=?���U/�c�:�	1�Z,�Ȟ
� T����)
�3��
�Uz�
- �%v�J�l�g^��v��
��#�=ȼ�%�&LT�d�E��i�_�	:|E�A�'�K��=�����O�U
��(*� �J�J�c�(�f��Z5쀫��X��_�F��
�%���W
(Ds���^�?~����G�+~AHm+Dz!�/����M���P0��k��@��	~>]�NuhU�E�()xqOU�A��-ɛȹ�p�#?G�Kb��y��6�z9"Щ���*��o
|
���ׇ������˕����O�{=w �
�ұ6��@�	�

�1N~8UZrl�sFG�
�	Uϯ��ϰ�H=�N��o�z+F@�R�
���&b=�
w��-
����Sgϟ�;�^��T�ZtIT�C� ���p[�
�n��Ih�1�w#�0��t���̢ū��e�
Vj4��"�G3
��i��o�.���/
�`�
�HvH�����v�}������p��=�l���0�O �m�,2��@H��j�QLt��q�p�V�Ɏ��4Uq
��A�0�3�
Υ
��‡��)�ʱ89*͍�:(
-c���@�<hiYo�U�0v����V�
��q�"�?~����-g�=�
<R�
-��k�U�%�FvF�DA�"K�p�\j�y��2o���nV�;`�!���v%y.�#���2�أ�m|���h�*�H�(���J��9�@�a>5�qZ�P�������!��>�~�K�][f�G�ј�
-�
��
-��
� �22��t���c��[��fdɴʲo�8W�L����&�/%
2�y�
_^`��
��ca
O��t'��@��b�ƭ�r��lW�_Bm]u�CƩcW�LS\�H
LPJ�Y%�
G��T�~��d8�˰�϶t,қV���*e:��҇
�n7�
Rﳏ�9����^�8Sb̥�4R���P#�X��
 ��X��u
���Q*�،���+���~����@�dƻЂ*_|-�R��������K!�*�:R�}&PP9�^��3*���2��Ӳl6�����r�b�(����2UbT{
^>��(S��+|�;0IU��1[�x�1����nw:S8�Ɲ�HSJ- ҽt~�G��&
_�6갪���P��z���`�}=�}�
-3{�s_�сg���(�wX�Se;sN+yvꦪ�—�$�#ʸ�%��2�ԍT3Q�O˙�u��
�
����o*&�1�O���
�)x�P7���uB���]N���Dl�6*e�v#
-û=� g�
-�ͱ����Y\�l��KsA��J篷a���{�wNN����
�6T��/.�@{��"�l��8W#��}
-G��f�1�N
-z���#��s������g=u?��YW�[��|a�P�f�V���|>���O� �62�q.��u�8{M@�1��d�Q7��s�X�[���S�Z����
�丕���B���v�#�.���1�V+vW
�e�IG���Y�B{��L���U�Kc
��Br=�lU4�ٮ���뽴	�w2��������,�C at E*52�;\Qp˘�ݤj�^
�����hRq�
L2U�T�p�J_�.�V[�q0"F�	�꺶�MZ��M�^6�S�I/t#���Tw�������h����"�P?��������������o�T��z
5p�c�-!�*������r���Byȇy�H�VPR�{R##��
���Fv?\�g#�B}n_�P�d�g��n�E����Խ���������|�o'肾s86��3�e%@n&I翳������XSc���ёi���lM��6e#p������%� 匇1G���q��$�2w\Ұ#��
����y ?�'@�gaL�TW��qT�\1\,�Pi�-��"	y�����\߾�?���endstream
+x��WKs�0��W09ٓ�X��G�8��
z�L�5=0
-�C!
�ۻ�Z�2�!��L�aY�ǧoW��zpvy��"7�7��R�K�LD1���w�
�0�ʂ5Lf0�0V0���U��隗�܊�ܳ��`	�N}�bIB8�
+�>]��$�0E���E
��C�7JH
%{Gme?��i����ep�
�NE��[�x�޺���D��M6��öf�sf��Ԡ�Nd��@K!�&?7[���3�EjM
��<�P+��q0sM
+��.l�=Z�k^<�����b�YR�H�">���(�/��qu�a+�0�
+6��y��,h�9y*�e3h����a?*
��]!�D�7�% \���t$pZy�d�	-5�Dp���Y��B�0R62�c�R
��,ux2"3��U�-�QN	���$\u6�VK��r��:������U�9Vl
�j){��+�"�_PX1����`$L����
�őy�~U��T�X}�a�ǯɺ�s*�I<[fБq�z�
�Jrx%�y�┨��~�x��XxYV|cSi�J)*N
+
+�?p���0�كzH�V� �[��"�Y-Bm�PX���e���N�,<s�
J[���2
.�~MQ&��N�xP�@���yvDӗ�og�
+
+|��}�d{�gx�}�����a���kG�Y��
|fz�y�x"#{�Q��}��o8��
���j7�Ă%6
���o��Z����/G�

��I��Ɂ=�x�ݛUs=��L
���y]�k�9��\�
+�.�La�,��x�Z��u���	I�1us�P
�`_�4��t �c�JwG:
ľ���
�
Ln?	��e�؉fgw��9��be��m��2�W%]v�5R�
Ӣi�̪���s5mjU�z>E�g��ݾ"y�K��/zw�
+���ܻw^xef��?��*���� ��	��]��
+g7�����
�endstream
 endobj
-3027 0 obj <<
+3328 0 obj <<
 /Type /Page
-/Contents 3028 0 R
-/Resources 3026 0 R
+/Contents 3329 0 R
+/Resources 3327 0 R
 /MediaBox [0 0 612 792]
-/Parent 3014 0 R
-/Annots [ 3030 0 R 3033 0 R 3034 0 R ]
->> endobj
-3030 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[1 0 0]
-/Rect [113.076 626.966 141.732 640.913]
-/Subtype /Link
-/A << /S /GoTo /D (section.12.14) >>
->> endobj
-3033 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [350.162 191.515 384.086 205.463]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-3034 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [391.735 191.515 417.139 205.463]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
+/Parent 3288 0 R
 >> endobj
-3029 0 obj <<
-/D [3027 0 R /XYZ 72 720 null]
->> endobj
-454 0 obj <<
-/D [3027 0 R /XYZ 72 720 null]
->> endobj
-3031 0 obj <<
-/D [3027 0 R /XYZ 72 546.393 null]
+3330 0 obj <<
+/D [3328 0 R /XYZ 72 720 null]
 >> endobj
-3032 0 obj <<
-/D [3027 0 R /XYZ 72 420.822 null]
+3331 0 obj <<
+/D [3328 0 R /XYZ 72 628.008 null]
 >> endobj
-3026 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R >>
+3327 0 obj <<
+/Font << /F29 544 0 R /F167 1942 0 R /F114 560 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3037 0 obj <<
-/Length 2175      
+3334 0 obj <<
+/Length 1113      
 /Filter /FlateDecode
 >>
 stream
-xڵXI��D���(��	���v�̀M!Ĕ4Uh$�9�2#3
^/�E��o�-N'�\�b��by��>����}k�+)E��W��+��Hb}e�\�����>Y���{���rR�I��o+�

�w_���K^�d�i*T���Vk-���<z�Z'y

c�;l�~
��
�F����eT�{���x�<~Z%&�4��vG�f_��h��ʽ�j��=9�_�4��.$4%4�Szi�ufDl����D��G��A��ڐ]�q�v1l�vQZG���K�
�c����<؝2
� ��������6i�[�����xS<����w4���Q�����Zj�]��m?⾸6���Y43K�*� �b-
���6�_Ȣ�H��#mkQw����Z�Dfg����%;��TS��)�
��i8ѻ��O u{8'1"ӅC�9,S
u��߮�r��Q�;�����ޠ��Ƕ�;��jS��n�)ܺ����T9����s�5RK�Uq�ڧ�WmY�48i[R��[�:V��=�E[
�
�2�a�
�K�'\\DM�������M�s#%�bo3����v<��IC�GETL��:V8~pz�jP���T��ɲ��D�b{d$��j�J
=
*s�S��5�&�N�����25N6�Y,L��>V�`��5ǡB�b��mJrpt�hח��
�2�E=�!�B̧=��L��џ0��)Da�����Ӽt^)��Ru�N��B�j��Q
O�-m�^�C��X�m�g�dNAM9��=�D�;	�-���υ?�D߂�[�?x��
���/t�'�f��T�q�
� [...]
-���f�1=
�m@%�Y�ق�
nqg��^����E*/��\
�jC�"�h���'@]=P ���q��Ϩ��jK j;�Kb|j� �C��FCa����� 
�3�*�h:���:U�JR�c<��,����B0]����K�5�?T�oFц.G�h3.V��[�~�w�q˨�=L)���nB�HER$gB-�~K�
�zK	
�=� 0B徜�b�;ә
������.�"W�Pg�g�@�Y��y�Ẇ‡��'��f)-X�T��
>��\8m�{��d""��FJ
-i���<��ѱ:e�H"�&�CKYt�* 
'�=U�Y����

������Ώ���|�p�C�k1ϖ�m�Gp�$2cT�f"

��wc���K��e'�s@�r�D7�&PS��qa���bü�Z��K~���6�
hG�GO���)phG���pa�Mu�~vw��`Gn�e
��^��L�1�Z7�3�`�jp���$�E�Q����H� &'���
7��&���ɞ����
_@�
��V�q�ГC���&�0�"�nh�sf���4Z�F�#4I�,O:/gv�t j
-a�'_`Z�H�������<��"�
 b� 
�� �9��%O=�*t���.��1绨d	���md��'"���8p��u_���Hf:BQ��2
-�T
-��S�G7[@��
-�s�
 
����ס⛘� ��YAG}�e�1aW0�-�����V<!��&�V�#�X�*��
��0A4Ҙ/e��Q{����/&��'{)M[<"����DE�e0����'�2	4V�eU��jʆq5���^�N�%��\�Ɨ�!8w� �8��5��g
-�
-��$�1)���
^r75
��̊QqF�iDx�8
��q��.;�����_^Ҏ����XS�)�nA��/��'
-�`Z|ƽ��8[����ɗ�<�3tb��?���jǧz������a���R�n��@v�"û�@m\:?	Gv�t�	.X(*�d��
'~(�p0�7 �ԍ�rK
�F�H�����
d+S�-
��"�j�?�����ɘu?1~�b
��3<-�y��0!��ZEw�� �N��IV���Y��Eg>��3[
��}���MG������� ���R�N&W3��1���M�w���]����d����	>���f4�Q	Iڻ[���������ʩvq�+�? ��
�����\g�ޔ���f�7_Miv�$@�&f
-8�%�a}��/n�_�����endstream
+xڥVKo�6��W�R@�fi>%1E/A A{��"�Aٕ���ö6v��;C)ʦ]�b!>�3߼>R2?ɤ�x�
��r۱��b�L�iZ�E�1��V�N��Ň��S��b���2�]N�߭���ʁI�e�+�*�ANv��6���v!�a�T���'�g�45����5
w����A��;X��NR��_X�E����"cظB��ŗ�Nj�Ze@��\8�
a^
+m����%�	"��t�a�%H��
|�S��ŝa<��!
���
]�
<MZ{ԓ\ۑ{8�J�a�?tK�' �l��mp�-�P\)�5ܘ�{��t��<H�
+_,���c�&,��
���A�: `�{��M���dw#�����_
+i�����>>�R�m��qG�u$��~

/��a
�p�aO�yiD=�q�Úu��)l��3�J����ѳ��_
++p�vNYhu*�x���
��?�iL:
�?�k#CPh�[V|1�1c��	S��Ϛ���üd7��!;–���g�he_.
����JIOR�����\��mB洨7ÞdM�
�嶁&S ��QRHF���2����,C�uM
���
7�)�ܷމ��.�(��O�u�1�$ԎU&�H��ĩ��F4x<�V��m?�wh�A����p�?��x.zm�s�#!�G��-f��K�)��gZ; fg��R0�z)������ۣ鸕zf�� 7`�]�R
ܗxq�G�%T�\��Bi6	�eT����w�pc����'겢 �B��ʓ��)���\wr�ʂ1�-�I��KA
�yV%�C�)���)�Ԛ�]�r�U at o�E�r�v,������
N�>�
D�#���"���1��G��(w�dvg�	BS�il������/=o�617��>�!��D�Pw�0�_-�
�
����y�0\��z����{�������+i��W�������E��_m?��_=�X�PӲ�����^{��*=��븂���
!��6�`+�
�C�Oo�
;T��7�������٤k�){�Ύ���@�m���g�~��@N8FA��D�D��D��K���N�wk�	C��y�!US��[}�ޖȤm����pE��P0X�*��_A$��endstream
 endobj
-3036 0 obj <<
+3333 0 obj <<
 /Type /Page
-/Contents 3037 0 R
-/Resources 3035 0 R
+/Contents 3334 0 R
+/Resources 3332 0 R
 /MediaBox [0 0 612 792]
-/Parent 3014 0 R
-/Annots [ 3039 0 R 3040 0 R 3041 0 R 3042 0 R 3043 0 R 3044 0 R 3045 0 R ]
->> endobj
-3039 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [455.289 704.06 501.89 718.007]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
->> endobj
-3040 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [507.788 704.06 533.192 718.007]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Andrews91) >>
->> endobj
-3041 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [449.966 687.787 540.996 700.407]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
->> endobj
-3042 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [147.912 672.677 175.918 686.625]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
->> endobj
-3043 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [182.38 672.677 207.784 686.625]
-/Subtype /Link
-/A << /S /GoTo /D (cite.LumHea99) >>
->> endobj
-3044 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [239.945 561.594 273.869 575.542]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-3045 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 0]
-/Rect [280.331 561.594 305.735 575.542]
-/Subtype /Link
-/A << /S /GoTo /D (cite.Zeileis04) >>
->> endobj
-3038 0 obj <<
-/D [3036 0 R /XYZ 72 720 null]
->> endobj
-3046 0 obj <<
-/D [3036 0 R /XYZ 72 485.504 null]
->> endobj
-3047 0 obj <<
-/D [3036 0 R /XYZ 72 162.507 null]
+/Parent 3337 0 R
 >> endobj
-3035 0 obj <<
-/Font << /F78 924 0 R /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F32 668 0 R >>
+3326 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/relogit-Example3Plot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 3338 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
 /ProcSet [ /PDF /Text ]
->> endobj
-3050 0 obj <<
-/Length 1396      
-/Filter /FlateDecode
+/Font << /F1 3339 0 R /F2 3340 0 R /F3 3341 0 R >>
+/ExtGState <<
+>>>>
+/Length 3342 0 R
 >>
 stream
-x��XKo�F��W
-P��!���qH� �h�S�-��m�P���
��;��J&c�1�zY���{fgFz�y��m�_����bs}���ϔѩ���~����+�U�
�;?�iS[ZJ:��7?^�� RQ�L)>*�iǁV-�o�����
�m���rͰ� Xɧ��?�NN_�GH���f��`3�fǒS�/ �)���"�n�
���d
��Wi��t.��&
�Kw�2̽��9�
-6�`� ���q�0�+?Ҵ��
SZS��]��J=$�-����vQ�����
���j�^�h�a�φ`?����S�_���$}�gWi���X�_ƺ.��R�סN��7	���sI��
(;�qx)�g��;��4���� w������u��J�ATr���9�+�m���|�aG
��X�*B'�;����v�DS4���9>�n8��q����g�5�I�3�=�]4�,?��1�|� �����l��
A�ծ�|Tr��Gp��\��`�3��r�YJ���dHҹ
a��T�ޛcQ��D�4�—�u�����*�^+�UN�0�r:�{��Fίl�7���3�
{x���G*�ES���:�0M��нcB�
����Pk�E���{~Vm�M��Q����
�O�`���iW:#�����yA��0	I.���H�B=E�U�w8K9�*
3��/H�U��\`*
'z$�B�%��{W���=]�.x�:��+
.���9R��9/^�S�N�*N4

8?P:ѳ�D�-Y���gL�S���T�qY�+
E_�ؙ1^��w �3~:I<��M��u��`!�iy�	y�73��hv��p
�_�����ڊ
[K���=���
-u��4���3�r���%��ޒ��~lJs
� r�	r�f*��Y��w�����ux�ms��Ís� �8o�Eo&dRcO��
78�ѵ��?�=4�9�[`]7Y-�k�
Bݲ�j��f5�w��}7�)�Ƶu�!PX�S���M=�4����T���T�OS��NSb
֒eHq�ř���9R��	j���S�x�Zf�T;�24
5�n�k�"��F �+���R�u�
�@
�����YV��@tLu���Bg�Cz���z���ڌ�E�J�s�B#��t1iat,:�e��8�@��4���"&
-3�{N�
if��� >M���
��z�sh�~����)�cUG!�{��d:�bH}��;�q&q����Q�cE
+�J�0�|��X9�PNs3��v�X��/��J�p���f!�ЀtL5G���g\M -��K�d
gi���A�`�h��FaTQ�X�=7B��?
d
yL����4�@�h�f�kH�2��^����o۳�
ۈ~��\
�L��MQ-8��ݤ�IdfE�E��%��(�M�4e*�B�3���go6���+p�endstream
+q
+Q q 0.00 216.00 432.00 216.00 re W n
+1.000 0.000 0.000 rg
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 278.40 358.92 54.55 re B
+57.60 343.85 1.08 54.55 re B
+Q q
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 301.36 Tm (Y = 0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 20.60 366.82 Tm (Y = 1) Tj
+ET
+Q q 0.00 216.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 167.43 412.57 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 167.93 233.28 Tm (Percentage of Simulations) Tj
+ET
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 273.60 m 417.60 273.60 l S
+57.60 273.60 m 57.60 270.00 l S
+129.60 273.60 m 129.60 270.00 l S
+201.60 273.60 m 201.60 270.00 l S
+273.60 273.60 m 273.60 270.00 l S
+345.60 273.60 m 345.60 270.00 l S
+417.60 273.60 m 417.60 270.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 54.26 253.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 122.93 253.44 Tm (20) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 194.93 253.44 Tm (40) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 266.93 253.44 Tm (60) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 338.93 253.44 Tm (80) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 407.59 253.44 Tm (100) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+Q q 57.60 57.60 360.00 129.60 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+70.93 62.40 m
+71.59 62.40 l
+72.24 62.40 l
+72.89 62.41 l
+73.54 62.41 l
+74.19 62.41 l
+74.85 62.42 l
+75.50 62.42 l
+76.15 62.43 l
+76.80 62.43 l
+77.46 62.44 l
+78.11 62.45 l
+78.76 62.46 l
+79.41 62.48 l
+80.07 62.49 l
+80.72 62.51 l
+81.37 62.52 l
+82.02 62.54 l
+82.68 62.57 l
+83.33 62.59 l
+83.98 62.62 l
+84.63 62.65 l
+85.28 62.69 l
+85.94 62.73 l
+86.59 62.77 l
+87.24 62.82 l
+87.89 62.87 l
+88.55 62.92 l
+89.20 62.98 l
+89.85 63.05 l
+90.50 63.12 l
+91.16 63.19 l
+91.81 63.27 l
+92.46 63.35 l
+93.11 63.44 l
+93.76 63.54 l
+94.42 63.64 l
+95.07 63.75 l
+95.72 63.86 l
+96.37 63.98 l
+97.03 64.11 l
+97.68 64.24 l
+98.33 64.38 l
+98.98 64.53 l
+99.64 64.68 l
+100.29 64.84 l
+100.94 65.01 l
+101.59 65.18 l
+102.24 65.36 l
+102.90 65.55 l
+103.55 65.74 l
+104.20 65.94 l
+104.85 66.15 l
+105.51 66.36 l
+106.16 66.58 l
+106.81 66.80 l
+107.46 67.03 l
+108.12 67.26 l
+108.77 67.50 l
+109.42 67.75 l
+110.07 68.00 l
+110.72 68.26 l
+111.38 68.52 l
+112.03 68.79 l
+112.68 69.07 l
+113.33 69.35 l
+113.99 69.64 l
+114.64 69.94 l
+115.29 70.25 l
+115.94 70.57 l
+116.60 70.90 l
+117.25 71.25 l
+117.90 71.60 l
+118.55 71.97 l
+119.20 72.36 l
+119.86 72.76 l
+120.51 73.18 l
+121.16 73.62 l
+121.81 74.07 l
+122.47 74.54 l
+123.12 75.03 l
+123.77 75.54 l
+124.42 76.07 l
+125.08 76.62 l
+125.73 77.18 l
+126.38 77.77 l
+127.03 78.37 l
+127.68 78.99 l
+128.34 79.63 l
+128.99 80.28 l
+129.64 80.95 l
+130.29 81.64 l
+130.95 82.34 l
+131.60 83.06 l
+132.25 83.80 l
+132.90 84.55 l
+133.56 85.32 l
+134.21 86.10 l
+134.86 86.90 l
+135.51 87.72 l
+136.16 88.55 l
+136.82 89.40 l
+137.47 90.27 l
+138.12 91.15 l
+138.77 92.06 l
+139.43 92.98 l
+140.08 93.91 l
+140.73 94.86 l
+141.38 95.83 l
+142.04 96.81 l
+142.69 97.81 l
+143.34 98.82 l
+143.99 99.84 l
+144.65 100.87 l
+145.30 101.90 l
+145.95 102.94 l
+146.60 103.99 l
+147.25 105.03 l
+147.91 106.08 l
+148.56 107.12 l
+149.21 108.16 l
+149.86 109.20 l
+150.52 110.22 l
+151.17 111.24 l
+151.82 112.25 l
+152.47 113.24 l
+153.13 114.23 l
+153.78 115.21 l
+154.43 116.17 l
+155.08 117.13 l
+155.73 118.07 l
+156.39 119.01 l
+157.04 119.93 l
+157.69 120.85 l
+158.34 121.76 l
+159.00 122.66 l
+159.65 123.56 l
+160.30 124.45 l
+160.95 125.34 l
+161.61 126.23 l
+162.26 127.11 l
+162.91 127.99 l
+163.56 128.87 l
+164.21 129.74 l
+164.87 130.61 l
+165.52 131.48 l
+166.17 132.34 l
+166.82 133.20 l
+167.48 134.06 l
+168.13 134.91 l
+168.78 135.76 l
+169.43 136.60 l
+170.09 137.44 l
+170.74 138.28 l
+171.39 139.12 l
+172.04 139.95 l
+172.69 140.79 l
+173.35 141.63 l
+174.00 142.47 l
+174.65 143.32 l
+175.30 144.18 l
+175.96 145.05 l
+176.61 145.93 l
+177.26 146.82 l
+177.91 147.72 l
+178.57 148.64 l
+179.22 149.59 l
+179.87 150.54 l
+180.52 151.52 l
+181.17 152.52 l
+181.83 153.53 l
+182.48 154.56 l
+183.13 155.61 l
+183.78 156.67 l
+184.44 157.74 l
+185.09 158.83 l
+185.74 159.93 l
+186.39 161.03 l
+187.05 162.14 l
+187.70 163.24 l
+188.35 164.35 l
+189.00 165.45 l
+189.65 166.55 l
+190.31 167.63 l
+190.96 168.70 l
+191.61 169.76 l
+192.26 170.79 l
+192.92 171.80 l
+193.57 172.79 l
+194.22 173.74 l
+194.87 174.66 l
+195.53 175.55 l
+196.18 176.39 l
+196.83 177.20 l
+197.48 177.95 l
+198.13 178.65 l
+198.79 179.30 l
+199.44 179.90 l
+200.09 180.44 l
+200.74 180.92 l
+201.40 181.32 l
+202.05 181.66 l
+202.70 181.94 l
+203.35 182.16 l
+204.01 182.31 l
+204.66 182.39 l
+205.31 182.40 l
+205.96 182.35 l
+206.62 182.24 l
+207.27 182.08 l
+207.92 181.86 l
+208.57 181.59 l
+209.22 181.26 l
+209.88 180.90 l
+210.53 180.49 l
+211.18 180.05 l
+211.83 179.58 l
+212.49 179.06 l
+213.14 178.53 l
+213.79 177.96 l
+214.44 177.37 l
+215.10 176.76 l
+215.75 176.11 l
+216.40 175.44 l
+217.05 174.75 l
+217.70 174.02 l
+218.36 173.27 l
+219.01 172.48 l
+219.66 171.65 l
+220.31 170.78 l
+220.97 169.88 l
+221.62 168.93 l
+222.27 167.94 l
+222.92 166.90 l
+223.58 165.80 l
+224.23 164.66 l
+224.88 163.48 l
+225.53 162.25 l
+226.18 160.97 l
+226.84 159.65 l
+227.49 158.29 l
+228.14 156.90 l
+228.79 155.48 l
+229.45 154.03 l
+230.10 152.56 l
+230.75 151.08 l
+231.40 149.59 l
+232.06 148.10 l
+232.71 146.61 l
+233.36 145.14 l
+234.01 143.68 l
+234.66 142.25 l
+235.32 140.84 l
+235.97 139.47 l
+236.62 138.13 l
+237.27 136.83 l
+237.93 135.57 l
+238.58 134.37 l
+239.23 133.20 l
+239.88 132.08 l
+240.54 131.01 l
+241.19 129.98 l
+241.84 129.00 l
+242.49 128.06 l
+243.14 127.15 l
+243.80 126.28 l
+244.45 125.44 l
+245.10 124.63 l
+245.75 123.84 l
+246.41 123.07 l
+247.06 122.31 l
+247.71 121.55 l
+248.36 120.80 l
+249.02 120.05 l
+249.67 119.30 l
+250.32 118.53 l
+250.97 117.76 l
+251.62 116.97 l
+252.28 116.16 l
+252.93 115.33 l
+253.58 114.48 l
+254.23 113.62 l
+254.89 112.73 l
+255.54 111.83 l
+256.19 110.90 l
+256.84 109.96 l
+257.50 109.01 l
+258.15 108.04 l
+258.80 107.07 l
+259.45 106.09 l
+260.10 105.11 l
+260.76 104.14 l
+261.41 103.16 l
+262.06 102.20 l
+262.71 101.25 l
+263.37 100.31 l
+264.02 99.40 l
+264.67 98.50 l
+265.32 97.63 l
+265.98 96.79 l
+266.63 95.98 l
+267.28 95.19 l
+267.93 94.45 l
+268.58 93.73 l
+269.24 93.05 l
+269.89 92.41 l
+270.54 91.79 l
+271.19 91.22 l
+271.85 90.68 l
+272.50 90.18 l
+273.15 89.70 l
+273.80 89.26 l
+274.46 88.85 l
+275.11 88.48 l
+275.76 88.14 l
+276.41 87.82 l
+277.07 87.53 l
+277.72 87.26 l
+278.37 87.01 l
+279.02 86.79 l
+279.67 86.58 l
+280.33 86.40 l
+280.98 86.22 l
+281.63 86.06 l
+282.28 85.92 l
+282.94 85.78 l
+283.59 85.64 l
+284.24 85.51 l
+284.89 85.39 l
+285.55 85.26 l
+286.20 85.13 l
+286.85 85.00 l
+287.50 84.87 l
+288.15 84.72 l
+288.81 84.57 l
+289.46 84.40 l
+290.11 84.22 l
+290.76 84.03 l
+291.42 83.83 l
+292.07 83.61 l
+292.72 83.37 l
+293.37 83.11 l
+294.03 82.84 l
+294.68 82.55 l
+295.33 82.24 l
+295.98 81.91 l
+296.63 81.56 l
+297.29 81.20 l
+297.94 80.81 l
+298.59 80.41 l
+299.24 79.99 l
+299.90 79.56 l
+300.55 79.12 l
+301.20 78.66 l
+301.85 78.19 l
+302.51 77.71 l
+303.16 77.22 l
+303.81 76.73 l
+304.46 76.23 l
+305.11 75.73 l
+305.77 75.23 l
+306.42 74.73 l
+307.07 74.23 l
+307.72 73.75 l
+308.38 73.27 l
+309.03 72.80 l
+309.68 72.34 l
+310.33 71.89 l
+310.99 71.46 l
+311.64 71.04 l
+312.29 70.65 l
+312.94 70.27 l
+313.59 69.91 l
+314.25 69.56 l
+314.90 69.24 l
+315.55 68.94 l
+316.20 68.66 l
+316.86 68.39 l
+317.51 68.15 l
+318.16 67.92 l
+318.81 67.70 l
+319.47 67.50 l
+320.12 67.32 l
+320.77 67.15 l
+321.42 66.99 l
+322.07 66.84 l
+322.73 66.70 l
+323.38 66.57 l
+324.03 66.44 l
+324.68 66.32 l
+325.34 66.20 l
+325.99 66.09 l
+326.64 65.97 l
+327.29 65.86 l
+327.95 65.76 l
+328.60 65.65 l
+329.25 65.54 l
+329.90 65.43 l
+330.55 65.33 l
+331.21 65.23 l
+331.86 65.13 l
+332.51 65.03 l
+333.16 64.93 l
+333.82 64.84 l
+334.47 64.75 l
+335.12 64.67 l
+335.77 64.59 l
+336.43 64.52 l
+337.08 64.45 l
+337.73 64.39 l
+338.38 64.34 l
+339.04 64.29 l
+339.69 64.25 l
+340.34 64.22 l
+340.99 64.19 l
+341.64 64.17 l
+342.30 64.15 l
+342.95 64.14 l
+343.60 64.13 l
+344.25 64.12 l
+344.91 64.12 l
+345.56 64.12 l
+346.21 64.11 l
+346.86 64.11 l
+347.52 64.11 l
+348.17 64.10 l
+348.82 64.09 l
+349.47 64.08 l
+350.12 64.07 l
+350.78 64.05 l
+351.43 64.03 l
+352.08 64.01 l
+352.73 63.98 l
+353.39 63.95 l
+354.04 63.92 l
+354.69 63.89 l
+355.34 63.85 l
+356.00 63.82 l
+356.65 63.78 l
+357.30 63.74 l
+357.95 63.71 l
+358.60 63.67 l
+359.26 63.64 l
+359.91 63.61 l
+360.56 63.58 l
+361.21 63.55 l
+361.87 63.53 l
+362.52 63.51 l
+363.17 63.49 l
+363.82 63.47 l
+364.48 63.46 l
+365.13 63.45 l
+365.78 63.44 l
+366.43 63.44 l
+367.08 63.43 l
+367.74 63.43 l
+368.39 63.43 l
+369.04 63.42 l
+369.69 63.42 l
+370.35 63.42 l
+371.00 63.41 l
+371.65 63.41 l
+372.30 63.40 l
+372.96 63.39 l
+373.61 63.38 l
+374.26 63.37 l
+374.91 63.35 l
+375.56 63.33 l
+376.22 63.31 l
+376.87 63.29 l
+377.52 63.26 l
+378.17 63.23 l
+378.83 63.20 l
+379.48 63.17 l
+380.13 63.14 l
+380.78 63.10 l
+381.44 63.07 l
+382.09 63.03 l
+382.74 62.99 l
+383.39 62.96 l
+384.04 62.92 l
+384.70 62.88 l
+385.35 62.85 l
+386.00 62.81 l
+386.65 62.78 l
+387.31 62.74 l
+387.96 62.71 l
+388.61 62.68 l
+389.26 62.65 l
+389.92 62.63 l
+390.57 62.60 l
+391.22 62.58 l
+391.87 62.56 l
+392.52 62.54 l
+393.18 62.52 l
+393.83 62.50 l
+394.48 62.49 l
+395.13 62.48 l
+395.79 62.46 l
+396.44 62.45 l
+397.09 62.44 l
+397.74 62.44 l
+398.40 62.43 l
+399.05 62.42 l
+399.70 62.42 l
+400.35 62.41 l
+401.01 62.41 l
+401.66 62.41 l
+402.31 62.41 l
+402.96 62.40 l
+403.61 62.40 l
+404.27 62.40 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+104.47 57.60 m 349.30 57.60 l S
+104.47 57.60 m 104.47 54.00 l S
+186.08 57.60 m 186.08 54.00 l S
+267.69 57.60 m 267.69 54.00 l S
+349.30 57.60 m 349.30 54.00 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 12.00 0.00 -0.00 12.00 89.46 37.44 Tm (0.003) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 171.07 37.44 Tm (0.004) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 252.67 37.44 Tm (0.005) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 334.28 37.44 Tm (0.006) Tj
+ET
+57.60 62.39 m 57.60 176.79 l S
+57.60 62.39 m 54.00 62.39 l S
+57.60 90.99 m 54.00 90.99 l S
+57.60 119.59 m 54.00 119.59 l S
+57.60 148.19 m 54.00 148.19 l S
+57.60 176.79 m 54.00 176.79 l S
+BT
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 59.06 Tm (0) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 80.98 Tm (200) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 46.08 138.18 Tm (600) Tj
+ET
+57.60 57.60 m
+417.60 57.60 l
+417.60 187.20 l
+57.60 187.20 l
+57.60 57.60 l
+S
+Q q 0.00 0.00 432.00 216.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 14.00 0.00 -0.00 14.00 158.04 196.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 102.40 Tm (Density) Tj
+ET
+Q q 57.60 57.60 360.00 129.60 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+57.60 62.39 m 417.60 62.39 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
 endobj
-3049 0 obj <<
-/Type /Page
-/Contents 3050 0 R
-/Resources 3048 0 R
-/MediaBox [0 0 612 792]
-/Parent 3014 0 R
->> endobj
-3051 0 obj <<
-/D [3049 0 R /XYZ 72 720 null]
+3338 0 obj
+<<
+/CreationDate (D:20070601024523)
+/ModDate (D:20070601024523)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
+endobj
+3339 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+3340 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 3343 0 R
+>>
+endobj
+3341 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 3343 0 R
+>>
+endobj
+3342 0 obj
+10417
+endobj
+3343 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+3335 0 obj <<
+/D [3333 0 R /XYZ 72 720 null]
 >> endobj
-3052 0 obj <<
-/D [3049 0 R /XYZ 72 462.59 null]
+3336 0 obj <<
+/D [3333 0 R /XYZ 72 235.982 null]
 >> endobj
-3048 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F29 672 0 R /F32 668 0 R >>
+3332 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F114 560 0 R /F149 920 0 R /F142 743 0 R /F72 1166 0 R /F35 663 0 R >>
+/XObject << /Im30 3326 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3055 0 obj <<
-/Length 2697      
-/Filter /FlateDecode
->>
-stream
-xڭYKo�6��W4�ԍ��-�b/l���"��, ��n�%GR���~�A��屝���,��z|,~�����7R�����a���lj�
�����{�����j���O�����ºM�����?)3�rsB)|l71��\~ީd[�"��m���#����E�:�z����s��Ïr
.s��$v�p[tDP6�~���R�
X��sq���x���fg�m~̺�8�f�cOsz�O]��ꦬHu`rhZ�u��6kC���S~[Ը�Cf�H�T��o"i�1��
;%A4Li���H�}B�s�\[�
��b:+7^�
����h")�D�9�X�Jo&�O�^=\P�	j�Hǁ�R7�*?�6^��J��
-s��\�Й
k����ʕŌ�vX�/+l"弈A�H�"U��E[�0�Z$r��o*�<+�*a���Ot0
lߕ5y��t��ׇ]DV�GCBz���f�������"��<�č
�>���q��fչ�́�Ĥ
D�3��8P��
)V"CdSaA%�3��Wdž�u5"v�vO]_�2���W��J
F��9$�@��Œ?g�W��Wry
�e��k�
�����H-�ȍJ0��M��u��O7����[���ě�nbp�d��X(�nN7
�������#�(�f�>b�_H:,�8�BADW���S|}��x�����k��
-�����*�ZZz
&^.ͺS�)��+<i_����
\Sx�4
��-�G��)�C�C�;=T�'����������b�#_0�g<>y�Q���1�
BS�8

-�
���#�y�;dO)�ؓ6�n_t�=�F� ٞ�4� �cB_M��,�H`"C�z,�{p<I���1%7�a_�b	C� �OR�|�{�r'��~hӧ�Xo�>�͉[�1t�M
-���"+k6�uۦ����v�,�9�'g�{�O�4Ҁ"IK�w1��
�$��ȑ�⠛��Gr"xOE��z���!�u�G�={�93�	W<w=3�Uڶ���C�%���*���כj4�:(0ES��	Ne
�g�1��]�@�
�*L
�t����a
�\����@�DH��
��ZB@/�'&9ӄ�rf��W��R(\���l܁b'
�ȉ�Nd�O<�7�#�%�2O��K�ý��1��0Uy�c�  ���H0�{���D�
-���I�i�>�n~��iGț�%���0��Ԇtr

-���R#�����K�V?�(F���Zn�����{
1x�����d�m�P�gv�qA�?�Zx�NH�E�XЬG���@3��l}X�=W[-bH�sͱ�7g�F�1���В
��E����e|!u �rk�����>�Cc6]GK���A(�`�"�v,ThFt C�A���x��PpG�.�,*-�����A*7�}F�)˚d���t��ײb*bkf�:\��y
-���\��Ҧ�V �%�
��!��`PF[�lD���.I9%T�
��h
!��
-�s�St2��3[O^�z"��o}
hF����n%���B5`56
`
�H�n���v�k�Z�<��As�?��ŒVu`d/�,P<��Z+j���U���	+_Ȗ+�
@b
�e��!�
-
0Я�`�/Bn�'f
r̢7���;�Ml��ȗ\Ľ��<�=�Q|j T���T�ux��gbU�%u���\�I ��>�k},��Ò3�<s�qz}�
�Qdc����u�xX�Z�v;p_x�����Z�A�n�
-�M at B5��0fh�T#���ş#�2�ur�	����#���ũ㮌?̬�?.b�F��~(7AG[�c��S�׆�S��߇�b��Qh2��d	Y�C�}v�!Č�+a��W
-���bmBx�hB��x3�9�.oK�4�n�����]7��gcr�|!:Ly<��"t}硕��
�<�^�y	��y8�IZ��{
��H�?��4*1�Gê
-�-��?���=c;,3�Yu+𑑧��-�O�k���./�I�+�;Mf�ei�8������-�/�
OS�~�*7�1h^�q����>^��B�K��q
�'�BI��*u^��k�����
t	> r:=+
-�f)��ℂ��bTv���
xE3f+A� x!
Z����ʀ�|&����E闕h�U3%�
��m 6^�Rϊ�oA	r�.
-L�G���W$N�)
�
g4q[;�X88@|��*�Cj�ʞ����BOR�o�"��‡z9x���妴1/8���$z�'/���?5��I�B71\3&���m�;�zq��R�?��/
��`��Bx)T�HR5�RW���շ��Kv���Ug���"�cMo"
-�l�r˙)f�!�j.n�u֗���@�=
��V�z�mV��
(�
�MhW,ƈ�Z�����<�
�Ǖᚯ���f�EA{�"K�Օ����������Z�^�5���/��~d�@���������P_s�y�@C�X��N0t���8�������؟�P4;wE(���6wT5���*�ʪ?�f�ԅ�3�
�L�L�"�Nz�G��rBƟ���
�,�g<U�FlV1)zc�-�֠�:Ȏ&������
-��l��Pφ��p�h(
�@$�
m>K#e�ڡ	�a1��X��ޅrb�us*�+���u3�m�`u8�
�;�����1S�+�g���� .7�b,�R�#��#�`�]�e����?'�.��FY�٤��`d�@$�,� A2���7��endstream
+3346 0 obj <<
+/Length 2945      
+/Filter /FlateDecode
+>>
+stream
+x���n#���� �D!�5�/�2@##��r ��$��<-�<{ޫ����EJ'���z��z+?����Ȥ[0F�R��˅uD酡�P	6?/�9����}��#/��P��
���i'�Y>���5|�xk��
+�o�� ����,wpه�+|z�_��
��v�o��
\��s�
+O��o��=�ޝr����{��:���'��Sn<u��z�]�M{ؑ�v»m�@W~�|
/�^�{\0E�2/Oׁȥc�H��|6�����(�N;a��p����f�z|,F�pe��LH$&�߿9e\GZ�e�n�OK%���e�m�+4���ŷ�۽��=��y��B�*T�'�]&z��
+Ox��;m�zX��>\��́��#>�������BL��d���׀�˩Ry�]��H�h<�0� W�ê[�G��
�>�O��21@��Dr)�����;�*��֛�(H���	F���煜vZ����e�!g��7QNq� ,��s�4jmWlL	����**�!���
	�-��MP	.�'��(���m%���J�M6�U��E�?&�����6����"s
�*7��n�僛9O�ú)� t)�򟞿]t
 y���N�޽���tmgA�>�^G/R1?9�S3�l /	�_�(�L.:.ua
�LY�<KR�.9������qh�7�öy���K
+���>�/ʃ���{�����[X����LXc�
��0)x&�RD�'�)�׈��P�"L��	e*�c��l;�8�LUZ	�>Jr_��Zf��"x~�@'/���
���6�9��8�
����-�)��G���i�z����O��!����Ù!�Ʌ L���
'F�aP�h{@��8�`�hD	�
��O9o�@wP�Ӱ��Լ�$7�&P���L_�MY
+1�G0�Wa�ʉkK��g�"�D�BB>�|�R
ӂh�A?��23�vl�*�w�])k�T�
U�K�4N�LW�қ��ȎRr	4�*1�%|x
�&����<��Ų�Y�9/�J���g'��.�BpI5
� �f����o'?�B��������'���
��=�@�������'?d\]B��>`S;]!A
%
�Ƒ�%f��C���&���qG,/6��:
+����a�[�H
��qDdqT��-y�蚺��ǁ
+-��������a�T�e]�0��Dg�~ߠ�TNA�$��i��!��)�ϒ�)3�N�lH�}>�
����4���.���M�
��i��$�*��'2��>zޫ�����ƥ�1M�|��< ^�&�S�ҸC�0t:�:�Okf��.%G
�
dž/YD��%F�Ny_�R	q�@��p�y�e��z
��n�䧉mA'7����Cf�|��Ķ^�I�$f0��Ux�B��[U�<惙J��?��&�mI�EҬ4��ʢUf"Z��ԺrJPeJS(����3�DL�j~h4L���]�F���Z?�t.g�u��bu�� 
�i�%B�4A�Ԧ�
+��ϙOY
+TE�Q����ݸ$ک"�����Aā|
2(k�;�O�w�-�p4�D27�"��@�fp)�^���
ݏ�D�[@9f|-
+���B�G
�%6E[�A5��+��
Q�i/6�"�����*P��t4`k�B�-�B�w�5b��
��i�HNL����8� 
k,��d��(kM1���Ơ�Ӊ��r�]��0��Ы�\�
��
-���m�F���mirL�}8t�i���
j�#zXp�IՓ�:ç˦_&���鐦�a���5����S
7(��1�Be���� �w�FOc���+�w}���@s.�������NZJZS�1]�Ӿ�
�*
bV��L�*d�eA�sэ�����y�
���x�%e�Ow����N��e�Ȥ��y��q]OӘI'<4��$�l�ELv�C���
���!G��at�1�K���_Dp
2 K��a�B�op��o�A=꬜$�X�8>7�×�g`.̓b<���m�0m,�l�&@�AS��u�����*�@��
~�ڕ
}x��eW5N��)WT�*�[x�[�p����3 �:J��bp�b�v��.O�n��k�F���S⚄s5����d��Ӻa���	<��ч�Ul�S��*
���k�>�fc?Q��1��=�Y�x8�QwG��\�a�T��U���?Ǎe��A�ai*#����д���s쵪I�ȕ��R9l�^��>us
`=�
tP�z=x�x��
΍vɺ�������R���֤�;���Ne�
�3�� .��B�Ep�N�Ц���xQ��9��w��rq۹�
QV&H�D,��oYY��0�︰k���bJ[��6PX�o�'z�;k� ܺ�MZ��� ����
	U����.;��&?�n6��
~#��ԑ�}bݡy
+�Lc�|�1�TG�^'�,�I
X%#��R���c��aeQ�g;�0�.B��Yx0l�ƫ�#
#9΁LH�n�h���:�"a�M,b*i�(��U9�k�]5����nY�c

+7��Y76�5 ʊct ��	'V�n���Epv��V:��mz����|g� �
+֒�<`�)��*���F@�כj|X��Lt ��x��z��nQ
�&H��$
+�ˀl��j��l*���$��e
m���8ڰ�,�H�s�m��@��+3
��E���tV���s��ٙ�#߷&c#U��r�7ƒ�]��5�Z⼛����i���
�cC�JA�l�UsY7���9�xBV4�l
�5�8��
+r&��5�D�ݙ*�"x�
;�]�����v�*�4{��p���	l���jA�-��`�v
+��.tӓ���cG�92�-
��
;T$�D�kHZ�l֕
�"�]5lSbso�y�Y�4�?#�褾��k�v)����[����gL�=0���X8W�<�
�_&qr$@�8�i��*��jendstream
 endobj
-3054 0 obj <<
+3345 0 obj <<
 /Type /Page
-/Contents 3055 0 R
-/Resources 3053 0 R
+/Contents 3346 0 R
+/Resources 3344 0 R
 /MediaBox [0 0 612 792]
-/Parent 3060 0 R
->> endobj
-3056 0 obj <<
-/D [3054 0 R /XYZ 72 720 null]
+/Parent 3337 0 R
 >> endobj
-3057 0 obj <<
-/D [3054 0 R /XYZ 72 700.324 null]
+3347 0 obj <<
+/D [3345 0 R /XYZ 72 720 null]
 >> endobj
-3058 0 obj <<
-/D [3054 0 R /XYZ 72 462.798 null]
+3348 0 obj <<
+/D [3345 0 R /XYZ 72 629 null]
 >> endobj
-3059 0 obj <<
-/D [3054 0 R /XYZ 72 361.046 null]
+3349 0 obj <<
+/D [3345 0 R /XYZ 72 537.093 null]
 >> endobj
-3053 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R /F70 642 0 R >>
+3344 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F32 667 0 R /F69 550 0 R /F35 663 0 R /F38 1435 0 R /F72 1166 0 R /F126 638 0 R /F75 1442 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3063 0 obj <<
-/Length 2546      
+3352 0 obj <<
+/Length 2753      
 /Filter /FlateDecode
 >>
 stream
-x��ZI�������
(Ī�}��12<sO�b����nf�ؔ�
#@~{ޫ�dI�^춓�T,��ޫ���߽4v�qJM.���C-�:o�����˟�{��h �
U�Ǽ�4�	m�E����3x2�jv���SV��z�O8f
�����4YCWs����8���[��m6S�v�
7"�sK�r�.˴j�h�;  �{�ֻYܓU]����"�4��`���u�z���0	ش{��1�qI�br2c�H�=�z�~p��\lv�2|���r[���~��Lg����&t!y�E�o��g�c��:	�߷M��]��6�l�f��3\�;̱�fX����HlѢ҉��0܏�^ᬙ�f�^�+O��J���6Hv���p�[|�� {<������
�l�P����
��ëWˀ��@��X�'�0�}U�ӌ��d6�:)J�uG�B:<��q� CcnVx�� xR@:�G)�u�z� ��T��tB<��p�{�R,�ޢ6󤹑��`���fxk��6� �j
-|sn��3���2ڪ�
#̈��Ne6c�U�(#�\y[�G�
q��r�gl����
��5��~���Vσ�aT�/�< �+Q��H���˄	`8��ѺGR� ���#K�?���O�H�#bq��� %a)g����0�)�A�����A�\F#D����-�J�v
P(m?Heu\�H���.#�����T�"t
�LC��"��ހ�*�ͬ��
fúp(�REも�%��J9��[!�3���|_XKP��^�OR�4�>!�
YFn[���>�)P Y�j� I&a�"��c��
�����

��ԏ�pl at i� �%_Z�[J8��N��HJ-Y�`3��D;:���
ͷ'
-c� C3ڪ�RК�LX�"N����un
�\���D�D���Ln~N"���36,X��3�b�����X�qA���aXd� jE���ay��h��&� ���ˢv���|�n���6²�0&؆��
@?��\���^u_�dv�<W��F#eg���G;]�����)���s�
-��Gu
�X9"
-�RzL�f�e"S��N��l��@C�vݦ
�?��,��΄��оi�o��ts���z	��᡾�����@
��,N�D�3�q}���1����|����� �W��pa���
- 
rͼ�3m$�{9��`w�����vE��зٖ
8U׃�����{��K�q�g}#ip'�.��!�I
�U������4
�>N��������ah&
�y�����[�^\,����3d�E��b**y��b��>� ��&�*)8hH�qTjx�k�8�=���8#a	�q+�}4��y� ?�',�vHxGU_�->�p 8�2L����:?��@w���<پ��p��	
�0��}��֠0cCrNi��a�Pk#t����2���N�2�����śwt�����.(��·�*���/
X-�������fi��h�XͽK�R
0*��e��2�E��B�ѥ�40v��y�^��%i�;
��\���XGY��`	�~�rB�dC��bT{d�^�ط���-
;�Zr��_�Yv�T��:�*�w�훮���Ǡ��S�5J���Q��Qt
-5�Wcx�
�q�
&Q��&1���0��d(�eux\t5��m茒�Jl��j7۵�ŬˆE��w��\�����|Z�n���&O��>�|8ԫl�?���>�m�U�RN�많��P�>
<T���>p�h�Q@з����࠘�ɧ�r�@p�*���_V4��\ǚ�0�`�dƾ�KV���;�nП�;�
Pd���R��IG���>!��lg�
j%J1�iJ8����o�#-NlhF3�Y�
Q
9+E@i�>}+)��?�	L��Cƥ�bd* $e�;[b!�}��u�S��)�e�2��'
F��ɴ
��2Ӯ_
G����&Sv.�S���>	<T���S��7Q�lE;���Iʤ��:�!~-˲W�I
���j�
|����:

��A�6�M�<ʁZ�=�,&��AG���^�<�o���wK�`'ˏ����BA�
e��%�g%^^��x�w�~����J���f������0M��84�ký6^χ�v/����Q�WA���qS �%�����*���㺆(p���!0��0�={�7mbV(ZuM�l;�UG��
$ۘ��N��
�}x���.U��k���^(C�
eҗ)�P(Z}B��1:�<�q��v��[Ġ
z� R0�{}�{��Ǜ

��0y�
-��<�$��އ�U�6���7�S���_�ק/���o�?ܿ%~� ��9}�#������CՇްE\:�6���J�G\��vI>�6m- ��n߮��5!�Y���&� �U�[:�<|
-g�A[�)�
�4�F����+����e���b�$vͲ�
-L��D��g��n��S��B��M�)
�8���ԤN�
K@��E4�sL �<�X7���Cܠ/ ��?��1�����
-�¯�,0���_��up
-r_��Q!��t���_�V�endstream
+x��ZKs��ϯ`�rUL�]>�o����Q���� �p������-��t�A$83*E��+	v���5�����7�5��Ts�ie�k�j	�pk�n���-�-�w����/���!1V54


o
q["�mZF�~�URh5��
c�A�-�[W�qN
7�>�����>K��
�k��K�����p��n��7��\~�9e�3&$�z:�f��K�
�}��n�Ϳ�
t��V��� 'q4܄w�r&Ϙ�f�2f��i%�:������`7�z��o�%Fz}�p�C>����
�d�(ݴ`w���u��X�
M����r�n�ץ��`�7�q����8S�3�	e6*9�`��D4�����t�p�l9�d~��q� �����s!������[���Hp�
+��F$��gTE�1�
�qbY���_��0���.{
(�
+�r����"ucl�1���1L�,�cL^���G�^��|�1��<����(2��T�i�'�-��Z
+��pA��~}�(t02Gz�Χ
��^�3��}�E��P�
hq�Q�|_1��B�+ӊ(I�qȿ�"�(
en�M��Q�]�lRG5��4{먆�Ya�i�����n�Pߟ.h�
kw^���(!�������{ڬ��qA�����0M᚛��B	
?��X���j��6���d�I��uDY�U�/��t��3����P�[��|	�\
�fM�+�,w6",ˬyF��ټX��$UƂ��uEDx	Ե\����F����7�vC��T�P���U�WL'SmR^�
�^�\ǒ��w	�����
+@�hoK�~f�uv(�j�l����*�6�Rq�����ʊ�
��
��wJ߄i�1���E�
���;,��v�L�,}9F0�i�b�
+�H��W�k at v��(-i���nt���e��5D)\
,j!
�lM�0��	1	P�H
����\��f�=
��K�G"�_t֪a&���֕��
���
S/�
Τ�3��6�s?�;W��wrI������q�1��?o�s;lUF����n��Q��fΈ���+��弬�z��eV�v��w��OZ��
�+�Ŵ>���S7�O�b�*���#`e����Q�b*�����'2|/`W
��¹x~~����5��v���2��Ӥ�>�f?;�`5��T���O9.�%P���I%�pT�����ԌR�3J�2�`���
�>���z.��"������z
؜pl
B:
��F��\2l-YP�E�Y~
+�j9 yK�DO�
+h�|qtf%�- ^Y�X��/pA& ��r>�UE����?�3O�y�'ﺠ�2W�� *nG&�]������m%���!!)���;u<(���p*ѫn�EV �3#�����HB�0�
lc� ��~��G��.ۆ�C���|�X<6X⠋^�c?
*5�Mhf��[2sB��1m�ؾU���� |��1���S�⸌wx�F���jc���n�P}��K�
�X
=���ǨG�"mW~�e��~|����Q�7��s!'��|�-z.J�^�p3�&fе��f�7L����z��J��.F�r)���ڷ��i��2��g����
<���Z��e���B(�b�	b�& �n5w˷�ˣv?d�m
kF�؛�˟��3�6E����t�3��2(
+lI�?�!tm�]�e�.����g��\`�i���
+���[�w_պ��$�LuQ�Q���[�(���P۾�
:�������FQ�
��nT
 ���9��7��}����W�,cBg�^g��ik�􇲲��J�c/��,y����xP4=�$,XyO�[kJ(:bH��J2(P�
u/,��e�V[PFP
R��|@2W�r������^{��:�y������4�K���I�!��
��I��^0�V �S��,p���u`28����U� �Y#��&~�Z�5�vkNc����@6��Z

@ἕ
���DA
��J�<ee/i��&�D ��{Z� t��]�
E�����`X��2���FC�q�@�YV��6��1%�)�f��Cg����3�c
w��!���f
�HZ��{_t[�μ���y�Ѩ�
c@~�������,�G�e�ݡv:� 82�� ˦9�_�2/[�!�=S+�0�
+z�	"\24�L>��p�]9���۬�~��;
���
j��b�d�?6
�	�_l6�U
�|fh�`:^D0�6����f�
�8���0߿�}
v�a
L_Z�!f������Bl �5�`�yb�ĝ#$�H_h���[>���κ���p�$e:��]u�(��� ���lj��BpꇖA�XW��)����1/-�roYe�
e1�kF-���r ��q]
_���
*��q����"���*[�&k�o
fXp���p���B{K�/܄�l
k��DXSr�mpQ�h�箻Ǩ�~���;�w�����|ξ
�j5��=���� Ǝg�;O+��.�}���*�G2Z�F'��*w��iĮo�V�p �0�-pO�7����c��Ja�����J
O{�>���������Q�q/�U�=�rG�GF��C
��w>c�;�����*5�������h&F�^��9q����Q�B�����
+��U�_.��_>�~���ٯ=���}�W�����a�v�~�!���B_Z�,7^<�~
fQ|�
��J�*��Q�◃>>��?��hf�2����
�pW��?�b��{��j��H
+e $����\J�J�?2�:endstream
 endobj
-3062 0 obj <<
+3351 0 obj <<
 /Type /Page
-/Contents 3063 0 R
-/Resources 3061 0 R
+/Contents 3352 0 R
+/Resources 3350 0 R
 /MediaBox [0 0 612 792]
-/Parent 3060 0 R
-/Annots [ 3066 0 R ]
+/Parent 3337 0 R
+/Annots [ 3355 0 R ]
 >> endobj
-3066 0 obj <<
+3355 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [114.798 119.218 229.96 133.166]
+/Rect [114.825 357.508 229.981 371.342]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/files/1s.pdf)>>
 >> endobj
-3064 0 obj <<
-/D [3062 0 R /XYZ 72 720 null]
+3353 0 obj <<
+/D [3351 0 R /XYZ 72 720 null]
 >> endobj
-3065 0 obj <<
-/D [3062 0 R /XYZ 72 441.924 null]
+3354 0 obj <<
+/D [3351 0 R /XYZ 72 667.206 null]
 >> endobj
-3061 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F29 672 0 R /F35 1440 0 R /F32 668 0 R /F54 1447 0 R /F48 554 0 R /F51 1171 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R >>
+3350 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F69 550 0 R /F114 560 0 R /F149 920 0 R /F126 638 0 R /F35 663 0 R /F38 1435 0 R /F73 1467 0 R /F53 1695 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3069 0 obj <<
-/Length 2752      
-/Filter /FlateDecode
->>
-stream
-x��Z[o��~�� }�kv��0m
�@�b��6�5Ƀ,Q2[]\��%��{.C��F��N�f_,r8�9�;�o��.Ͼ}��D)�;�\��
�&��BZ��}�J����۷:�M��L�DҜ���c���t���M�9W��d�c7U1+�a��V���F�bY_��w���G�s�G���&
x%����
�J�Ӧ��Ӧ�
-�W�fU�q�&��A*SL���:��c2/�	�L\E���M*r��\XO���M����UNdV%ce��)Mcu
-�����]��(���V��
�+kZL)rv�j���'go.�PP"�
-$J]���H����_g�?�dv&�Τ�`�;��B�<Y��V�p�<{w��n�q�ظ��w�'��0�m)�w�����r*�D���h��<�
˾&�d2΅�s*�5��`_o��U�@�w>#
X��3��`k+���"��n�L��O�9�t�i7N�D�pa��
l0��IK�Q�}D�֫^
,��q��V�8x��τt
U��
Y�Mu��Ѣet-�B��f
��͂0;5
����!�W�n�.�;Y��~�p{;�8R�vz�Y!)��C0x��"VƤ
-W<�Md�\�4
��G0B��
P��>
@�E �����'/"2������� �A"�0���&�]UC�
-����D�Ӟ��Oa�

-���U��RQ=��,'k�ϛ���s�IU��e��̰��u�^�$N�� _�
�+A���
u!�죊��u�%�46�@������JN�Yr�2V2vP�������PX�ّ	Y^k�hQa������8�z��s�, }Ěg��z
��B�]NB�Q���
-f�p�l���zZT
.[k�����5z��y�u���*���L
-��9�3�s,�@_����i����xE5�L�-v��C#w���t:0�r��j�V��Ҿ
1�G��
-��#�6WuQ�$;�BY�7���X�I�3%�|�.���&o�g�6n��,�
q1����}
�1�\Cz��Mu�\��CsM��
��ux�]����Uq?-n��1I�7�ed�"�#��O'
BSu]+���]�L�kj��}P8Vv5xl�OqE{B5�W����X�P�`��@���H��-�A}��8H��${�T":鈍�dǵ�
����7�;!s"a4RZ`gb78��S�$߮��Q���D�"���
��s7p�_�r`?43�����Z�2Kl�oq/d9a�qo���7t�������
�U�
�b���
�q�$GgBɬ��a�:du�tɰ'Y�Y�γ3ۣD'; :V
�|�*t���ў''�hg~�h�
Z��&*�s�X��E������
Ĝv}2�9��'��k`7�vc�_؍=��د��
��`8mz�O���1аY�qӱnf{D�z6D�����`#J��h�(��и�2V�T�>�iwb���ɎZ߫y
-z�i�
]��=�r
�7�&b��/�����I�A���Q'*�,_�i���l�뇃d��KL at E
�Obg
��|I���̶�U��/�	��wr�w&:�o��r�	�g�<�o@���Ƿ����+�୫]Bı��r�8^�X|�b�๷eq�5����]Ç�������fY'�Ι<
օ�j��p)%�HMˏ>	�yv5���wp9�K;�T ��K�|����p>��|�� P�
0����o ��(�)g��?���q��
L�=t$m�%-�W�%�y�n
#O��4S��k�$���Ҳ%�!���	���LIN�}����BÐGP��,�Q�U�l(Ӷ��`q
�"L��h���h�Op!�Ï��A��f����Y%�Ȏ@
��>r�b��~
���&�d7Ԍ	�s"��^昶:]9 24�Rd��������:��e�7�4�vl����(�I��7�9���
k��Z\�Զ��l�sk�y���+s ��	�#����n)�Ч1�>�?�)ԈbY�5��	�pՇ��ZlMj�U����s�A
ɭP>�gxB%���	�p�J�Iͦj�����.˚ϓ`�
-K4��ཋ�����}�O>*��[A��ӭo+'��"�e9Lp
���X��ܾ��U6�d�@��G{v�!��2�e
-��r'l��r�7�r�vo�USAG�*Z�!�j��3G�����@-\�_o��k5nt3�8�5E��nJ�"�4��Q�ӻ➈bp"�z���%&�:ڄ��X�5�P��'�B�Oj
Mҹ�^z�<����
�g놗�u��&Z
�������~W��*SҼ*��X��&!��9A�����R,�"Z�T/F��
���
�y��E�5�	�e���	��JL���nG�?ˡtO�lOY�a
$	
 w���/B0��ޙ�F��8�=���O�>
-��
��	�]��~���v����I�/�фb�P]�#�Η�����.�r�>
��ٞ��ԥu.��1�ÖZ�m�!^�0�̖�}Wđ���T �Q���h���e�>Q�<@��d#��𘪋��� (����E1�@(ӈг�$�Q�{ζ�L���A�kID��ο����nY�c=(6و�iF��ExE�JK<��
-x~���#<y�[׈B�\n����"�f�6ܶ��y2{�; �\Ӯ9������Z��J-�ǫ49�C�]
j+<{b�Zq?�Y��]Dj�I�}50*r�����R<�bG���
Pc�.���,�8:m�rVG�c`}ޜn���Lȴ��>������[����Z	��"��{>h�9�&�O��{�~�endstream
+3358 0 obj <<
+/Length 2719      
+/Filter /FlateDecode
+>>
+stream
+x���n���}��,
+����"��	v��,�x$�<��QlY�)ٞ	�oO��j�����<� Y�U]���]���=k.(%����
ZS”�е!��[�VO'�j���_���=gh�3}Q;Э��B�F�ǂ0x:�D7܁�<H�U["Zu�)״���+�c��M�-ZYb>�Gu�>��{�܆gf
�M�8�2�_�����0�Zؿj*�V�����1B{$�3��^�M��+�u�m��D}1���o�F8 �8��
Y����7����I߸������(�+��m:B� R�/#�!�69���U��B �{*wA�
�L�i��N
��6���=x���OYu+'2��iP���E�6b
+k��p����ۅusg4۰�g<|}�{"���U�1Qr�ĩ&��jN�0^b���Ħ�&�� e"������H�

'�P$�q�젊�c�����*´�j��m��
�	���:���oó�c����B]F;��ZK�
�m/l�0�˒U3����ϫ�ދ9r7�au�T����Z�]��M���L) �e��d� ft�����ɴq�v�. �߷U����n��������$�1[��ۙ3-� �r at A7�'�׍�
����U@?��(���2�bY�S�<4M9�)�1UuO��|>a��]x(�h_�(�y�/'��
�xXJE�I� ݀+��J��?[��4��\���O����-���2)�H*�
���#�sPN�Sp�W�ho��=��������X8C:���w�Җ��.XX��b];v������O�?��p�k�{�ִO�W���aAY�vy�t
+<C�0I�|l�|�*�
+��Iz�2�倂��	
+���y����-�������<n�������B��bd��݅��;.�Zw�{��6EZ��&�m�m���3�}EcFMc���{˾+s	�ƧG�!��q	D��eɆ�t[%��BA
���T%c,�6%)+E6*�BX�Ġ���*����`�����z
��!��Θ�>�1*1͉�M/0�U��q�D
#Z��r
������d��p��#�@�7WH��D�<>
gk �	��	�}	�=U�:�`�Ǩ�u��q��r��sn����y�e��˨9]SiGqq���$�
"
�
���D��"5��!A���H����3�5��]tiq�O��$부�|Ha~T�)T�
���oJ¯�n���qQR9�=RT�Xڢ
�(��;xG
�|�I�h�� �m)�4��R�Ѻ���nČ��Ȍ�	L�51�"#	>#���R�8TJ3��jO%���η%B��J�$[�
+B�&
:p�%V�'}������y�1��A^�@�k/������k�H쩿���s��"ڙ�[R]vm0�%RQ\�X=<��K�{�rrk�LlJ"�>��WA4a����|D3<,�3 at M�Z��˟��
|~,f;D��b�˩t����a
L|��+Z�y'�d����n�`�}p?��'��e������9�t�\A�#m�G?[X
1F|ma�S���+	LB��^Y`BBը��S�*��bS,#R3^u9>�=]!�
�W��M7�u����0c�4N���ڕ�:��<
�w���Q?mb��>9c��H%�U�5��gv�
-���jX��颓�H[�I(6ԙ�ʬU(��&g9d
�$*w�x��}�vh�2�ć�bGӕY��X�g��כ��{��o�

X@�
����s�D
�m`�"��Gt�]���Q���utrt:������d�����u2��(֩~���^���Z�P�����B\	z�a$��mΔ�m֧�T2A� ܰ
��Ŋ��|[��u��Z�~��ei��Of��4T�C�_3~&#g�A�C������7�
�	�5
+|JAPY���a��ʿ5���zDn�����6�釂T'�Ϩ@�����Y�%9���>�i��
���}���3�G�E׆),8�t$7.����Q�=n;�Vv�U޷p��x,r�>O%�z$Ȏ�a�0���C&4rܹ]++����7���"uƎ�
+U�
�~��i��
+N�ͣ�e��

;�������kv�_�LHs.�J}����
jB�r�����}���w�
����e�|��R���,��H;
h
+1C8
�$9��
+͜�=��&�
S��p\)Y��,�'n=�N�u�x,�PQ�� .��BAQs^�q�,΢
+��l#]4x���Z��!�c_{h�ᖘ�88<������bZ�Ƣ]z��nYm�g�?�E3�X��|!��b+�ͩJ�#L
D}[��gP��(����_��A�Ӈ"޿A�kܨ
�Ƚ����7f
y� �Ѓ�X{�����\+p>)Qڗ���ۗ�h&����4�y��
�JS��1
��1F�Id��-݈|쌯55�$��J{�I+�<�r{y$و>�&��W�[���^�V�
‘&�_}�	��Z:T�Q1w�z��է��|�\H���e�ߜ�Q�~Y�:
/���`���Mۚ�8�9�\��G
J�r}xE��	�]��������
+/Ty���Jnu�쥗���ߠ}@
/Wܖ��i8m^��J��s�B7�]?rD!/C�  ��[�y��^f
+8��xl��86�ф�sGQY
��wAQfi��s4U���-ChBv d����󱚕���_pS�
s9�.���=���	����x���w�l��@q-숆4�;*�m�)-��/�����pendstream
 endobj
-3068 0 obj <<
+3357 0 obj <<
 /Type /Page
-/Contents 3069 0 R
-/Resources 3067 0 R
+/Contents 3358 0 R
+/Resources 3356 0 R
 /MediaBox [0 0 612 792]
-/Parent 3060 0 R
+/Parent 3337 0 R
 >> endobj
-3070 0 obj <<
-/D [3068 0 R /XYZ 72 720 null]
+3359 0 obj <<
+/D [3357 0 R /XYZ 72 720 null]
 >> endobj
-3071 0 obj <<
-/D [3068 0 R /XYZ 72 355.014 null]
+3360 0 obj <<
+/D [3357 0 R /XYZ 72 606.245 null]
 >> endobj
-3067 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+3356 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F53 1695 0 R /F114 560 0 R /F126 638 0 R /F149 920 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3074 0 obj <<
-/Length 2455      
-/Filter /FlateDecode
->>
-stream
-x��YI����W4R�h�"���N<@� �q;�drP�X��h)K�^&>o!�t�gjfb×*�z$��E�_���$��"�su}�'-��Je&����_��n�}��o^�rI��I�+IE��6{�Rɒ*�$����.�z�ݻ�1���V���a��Q��K{����}ƪkqNn��W���[idS����V�8����
o�m�P5�{[�L�
aj���#
�ml]�v�
l��%��s,�H
	1~��hF\��6�>��ohC��>�㞏�oe��+KK�.	��J;'�]�
���tQ
�8�Ï
P-�~�:��$I��ѱ�I7�^s��3J���Ң
{����݁�87-�%^�	^,�B��s.��Ϲ]G�B&:x�
��Ϲ
���>�� ��@]���*[%`�H��4	���;*�(J�*�^�4	�/h�jOh���\�.��XuqK�q�6
p�
�$�]L�7��70���rp���`��##��j���dNo�ލlKFI`�`�q�5��thN�*ڣ�Q�W��{-E
��ܷ2�!�	=I�k�,�(�@X�|�shf˝X�8(��;�& k&P���<p�D�a$��#�ݰwG���=��T"R�Vh����
E�
����}j�D��N��
���H/�WhC�ӗ�ҁ
������"��
,�m��؝� /  Z��~84�b2��ǜΣ@�H7?
!�&B�[Q�
�-�����S��vl���:�.�vi:*���.t��L��\��2��k��`�Jg�UYNj��ɀ@�m�X�"���}�\�?M>r�z�Y���K�
�l�!�{��ȳ>l���wd4GΆ�yF�b`+�;��&�A��H/�lۜ����9
-�	�8��mm_�[@>ۄ�
--��@���8S�����+^�rdr!"�
��D��CߪH�
1��z��Ԧ>Q��+|@�n��G��|la��\`�(�G����U��P�n�~L�d
��kf���O��Xd�;`��!fmNYecGT�� ��8�KLwO��
��U��m8a��حK&
F<�-����ﻞ�1>7���y���fD�z��� �d�g��)g������2��/�&5����X�|�C8
Lg�OˁH�wq�=1��,/́�PV�*;�w�>V�d|*�<S������I�q�ac髇e™�uj3{�F`�����v�	�
eB,�<�\A�[��N��
�[%�QK��&����]cj�H�g��c*
�	>qW�lJ��VkRY�2�8����b�S�1p(1�Sw��2QY����_��.�� �����X�x���,.n	����NK�<
�֕f#�ŕ}�<�/�s(;d���w�24R#��4��֥} g��)<s�������N)��R [...]
-.|!J�\�P�����#i��
��r4�;'�y
��p!�y`ɳ���9�~�b�@��ȩrPP��js�mYME�'?QIwS�T5��-:p.@�,.��8�<��TW{@�4�J?3/��dt&���1C	�0���_��S������Y�Sn���fN=���Jt0.{o�-�L�8��ڮ�|	�!�!�9�/�]��;jq�/jm��,��������~�F�%^��Y#:�4��s%��h��0�D;�!$�{��z��/6:M=�Ih:yIh�����>^�s�������}�PE
IC�~�!��F���]�!���ö�I�_�8���U�z>Nu rq���"�;��7���4b�ƒ�&^;�~�L�$`�x�����"l�>�ѝ����%�/�X��+�_U��#5�BA5�����Om�����J��ѭxpqj�m16�	N9�$̠���,��{�������A}�8Y��wmY��7��iѷ�uw�7�ʳ��󙂢�U����p$�v_
YyH�p6$C��Y=8kI5��nƷ�i�?y�
"��Ճ-�(�F!������
=TGP���@r���x���������
aO\�/!�U"J�������迚 vx�s��������
GG�kDK�]|��GD��jN\�&�
�2����8��xKT�#�T-o��U򅏖�
�R���frSb[)�"j�r��G�|)���"|�>��/�
x�_|W��iwȸ�i��7?rt^L�o���^�"p�Z�J|RH��TZ�r|�ywt��{J�#�
��Aˣ�J���*�ʙ�I��o)ڜA���kp{_��Xp
4���w�Լ�[׃�P�5�JX���I&�8����6��#�JH�X��rS�)�����V��}Z
�������k��\E�.����O�
Ϧ���z���}n�@h5B�.��|G�UD$��~����V$�endstream
+3363 0 obj <<
+/Length 2133      
+/Filter /FlateDecode
+>>
+stream
+x��YK��6
��W�tz�gb�Q�rk���״������kk7j�v��6��?� P�Mۛ��mY$�� ����G�)U�)%Zk��/�UU�9�Y��叓?�?�	
u�.��:}&q�b�&��0na�a
0��
�
+Fc��6!�p�%b����؃�N�6BE��h�M�B��a�')u�Fx�hd�()L�h�5I��q��q7�m�����
ϻ�']�E��T7�k�
��ӆE7�n��0S��ug3
��m8�V�$�N�>�6�x鮽
e��/��ǧ
H<꟤��K��J��sC�|^�gd�.�3k&�t�m��7�m���T
+��p��
=�f��+9lB��j8���]bB����+1
+���[� wC����븶��ED�M|���*�Vm��
+���皣��nS�ڢ�ɞ�-=���0
��s���/n	���,$��4�9��f�mv
�ey�]�05�
Cb
GCE�碠̄��
�_]�
+�m8>cx>nܐF��V5�c��U\rQ����
�f��>�[�� 1�a��'����1
1�`����0ms�H�+�����o�<�&�X�I
��94Kݺ����\O��QC+RC7x/��L��^�ɗ�)	�e���Y�.��� �vO�r�hcU%.K�H]�p�`�$
+&� ouO0���g��j|�~k������T?�1'�m �
���_VL,c��o���e�����
�6���XQ�<�
Ҹy��ԃ�q�A�G���>h�T`�#DŽ\�n�,�������̗J�=�nTv:+O��j�7n���k�LH���	${
+�U���*a�2P�d�Y	��&!�@0@
�c��՚;�����k
Sy��� ���ԤT}��u{4\((�+�> H7�������) �
+v���]ǂitW\M�vx4����wǏkNJ]����IX!��GP0�$Dq��
�*'l�~ X[*���
+#�$���p�d2Q�
Bdf\\�~].,�����]�h��0Ha��#�T
	K��G����7��b�T�}!q�J2F�@�T
��b��5�O%�]3��̬lVS5�
+V
6�n��������>�����_��ş,����m
�H��Qp-3(��1w�pqt��M"�K��N^ls�ò�m���%�74p
�:'=B�����"�J����䬕�|����=��i�*
+�sc|ğ���N���k�i�x(݂Q���)
�
���/ߎ�h����Ӌ`>���O�0���a��\"�J]r��ی�s�ꢍ\v5&/���~VcƾF�d~�M֛Q�)��Sf��@"���F��} �[f���h*��k�j at Qj�|~FV�j2��rWtF[7���b9�;��Zulm����J���v|W\/�(�2�c��H�ǛvM-�
�<��d\�cr���]�h�F���H(;�
��
�N
�d����޼�8���ִg��S`�r���1�"���3l�]��R��C87\�c4>�����;m�b�̢����'���nY	��0�݊��@�]��vj0=�ۉ�;�
+���)V�A����-J��*��е��uhW|�'��0Tԟ�P�'A޿���ֹ���8G�0$
Eǡ�
���Ow{v��y�G�8H���N�F���l�"o��Gj �ѱ
3T����֙��!||��
��&�~�������|�!'��L-
s�����+���UcW]+7�@ɒ>�Og-
��4�,����
+x
�
o�W��C\{�(>��dɗ
΃��9"~x��:��z��f�}wR���~��
Q�kb!xg0�Z���	'v�/24��2w�����
"�a8�	�O��(w��g
x����$Ӄp�����w�U��S@"�m'�L}(���})*5
����l	
�<�H�
+����jZI��?�U@ч`��E����e����a�� ��I�UI�%1�k� E�U�.{+uan���#�'0��+���t0�=٤��p��
+ф
����
��>�}/����b`��ߠ
�a�/�uWl�5B��S)�i�k��+2aK��iB��%$�4�5��~���\g�~A���?T
˝������
�]�*���~��dٹ�k�D�cL���
+E7��گx����_qS��endstream
 endobj
-3073 0 obj <<
+3362 0 obj <<
 /Type /Page
-/Contents 3074 0 R
-/Resources 3072 0 R
+/Contents 3363 0 R
+/Resources 3361 0 R
 /MediaBox [0 0 612 792]
-/Parent 3060 0 R
+/Parent 3337 0 R
 >> endobj
-3075 0 obj <<
-/D [3073 0 R /XYZ 72 720 null]
+3364 0 obj <<
+/D [3362 0 R /XYZ 72 720 null]
+>> endobj
+3365 0 obj <<
+/D [3362 0 R /XYZ 72 404.673 null]
 >> endobj
-3076 0 obj <<
-/D [3073 0 R /XYZ 72 162.051 null]
+3366 0 obj <<
+/D [3362 0 R /XYZ 72 308.026 null]
 >> endobj
-3072 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F79 926 0 R /F78 924 0 R /F32 668 0 R >>
+3361 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3079 0 obj <<
-/Length 891       
+3369 0 obj <<
+/Length 460       
 /Filter /FlateDecode
 >>
 stream
-x��V�r�8
��+<{�fl��(R�m7M;i��N�S�
h�q8���(g6����q2n�c��   
 �ˣ�;m&B��,'��#'�W�+�5_��>Y�"���<���o�!�v�a�N�=+|2��	��F>����
-i��#���&��d��uh�>�U�
�c ����HZ�>��q-�mx�QLdͤ.��b�W��G߭���e���j�	�}Agn'?I劗\r�s���V$�+Q(`��s�Z߁q2un1�tN]������n�������$<w�����ʲ���F�x�E@:��A�7��/4SU	 ��i>P�F�@�<�4��]�����Eɔ��
�\�*+�R�h
t]�绁� ��n�ƻ7s��W�
������,膹f3��B�.�Q��]`�
x��τ�`�xry�,��u˶z�#iXQS���ϔ6� \$�������_�
�n5�0+шO�^�;!h�)��o�TF�<

��UJ������h	�Q����e	x��j��3Q׏�`l��RQ��պz�2��FrJ��
�[��>N*��!�0V<H�
�B
pN��EcۮBa�h
G�_Cm��R:��-�����@�nj;�:s��k�t_;f��?����
-7�n��b���c
uCD���x�S'c���z�b�4ޅ�%��&�w1BpX}������âh��w�Po�x�|ڛN4���$�w�2�d7�^ �c�u��]��+ ��Zt7�K�®��4���i�o߁��^]�i��c��u"����8Qp=�nM�	f�N�B��Y�՞��T�K/C�r��އ�m�T]�k��D|������Z��ħ���T�Xv���5Tv_\�WĽ�t�
���҇���'�aZK�%���G#��N.��_-c9endstream
+x�mSMo�0
��W;�@#닖�〴�V���S�
��킦iQ;E���=�to;<}P|�H}ZΊsWg��([�f�X�Jʢ��	0���/�ܪ
p��sKu��
U#Gk6ߴ�����|�2d�s�X E��e�#�V������x�i
��~��g�M�J-^rW)䂱���d�8�.g�0w'qz���Ķ=^Վ�����ϙ�����6��A��tg>$���w����!3�2���J�o
w�6�a��sNxm�ۼv�4-�'�k+���6*B$Y�-��������(J/�
+A���D�TZ
�Q����Y�C�{��26HMۮꏤR!
6 �7钎���h�w4���Nu���
+�LW��
fM�M����7�^A�
����R
;R�{�x��wp4��^���A�>��
�G�Z�
+��
�wl��K����M���Y����D]F��*���e/E��e�X�� ���endstream
 endobj
-3078 0 obj <<
+3368 0 obj <<
 /Type /Page
-/Contents 3079 0 R
-/Resources 3077 0 R
+/Contents 3369 0 R
+/Resources 3367 0 R
 /MediaBox [0 0 612 792]
-/Parent 3060 0 R
+/Parent 3337 0 R
 >> endobj
-3080 0 obj <<
-/D [3078 0 R /XYZ 72 720 null]
->> endobj
-3081 0 obj <<
-/D [3078 0 R /XYZ 72 700.324 null]
+3370 0 obj <<
+/D [3368 0 R /XYZ 72 720 null]
 >> endobj
-3077 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R >>
+3367 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3084 0 obj <<
-/Length 2222      
+3373 0 obj <<
+/Length 2191      
 /Filter /FlateDecode
 >>
 stream
-xڵYI��8������3��X�m���t�D��k���ө�t�/]U}��6y�r5�DpImOOz������ͷoS{�l�Ursw����FY�0:�=Pz����������߾�т85a�雈H���
L��ǡ�c!��n��&x_5��v�4J��n��{�ݹ���Bv
.���
-U��{">
@���k���
�؛����*�UF���读�Q�k�4jvF�M��&�_vy
�M����
K��\�`/��u���e*`��U��5�
��U����R
�
-��Ԃ��$�
$��������<>!���N�
�J�g�z�գ��
�"��]` ê $n	��f��0�S���:�����t�,��el�]�E`i����9���,
-R�^>0Ǻ��=�j��'Y
�t����/P� ^�\
�� �
-5X=�J.~N�k=:�^�����(����n�5Q�R"�#S_
-����k�J�T4H	�햬�林;$�<4���W���Z� ]�5�G�s�n/_k�
��{��3�Nc]�S
X����g��0s�V��Uq홒�InAjnj�í�n﫢ᝋ���c�D\���}�

t��'�����w\�UF���?���:��)	ϫ
Y
t�˻�x�.8�^P��nq�NF��!=o�-��Ƃ-�)��0�2̱��B����mNN6
-HX??<��⻁�?^Rk`
��w`+*>�h	���ߠ��n|F�P���|��L�on~V��J���;ڇr<��o��d�@���[-�k`�į�TZ�<WR�6÷�}ߠ�x��o�#�;�#.OȂ�lA/E�`}X�D��5d0�8��@�9$;�6tQX�_b	��8#�a;�"��J�Ǘ�}Q/�5�q���B|&x1B��-f֫8�a�K�.��]T�Ȉ��bǵ�d�_�F�~����;Zn{q"���Ϟ�[G���H
��q�%�L�vUrP�Q�'bI6[�o���@oqZ�Q�h4��(�+�K�
�V:'5)D�v�'��X#
��	�X�����
ʍk����b!�ù*q�,l��������y��K,��^�\�i�ڋ(l��#�	��Fm�BG?�8Z�P
�<�ҝq�֝獋���;�� E<[n^�pPS΄��3_ny>^��D��/m��S�ÏS��5��4
������G^�C�
-7N�+�P�cM1�D
�z�
-K�w��S�I����sәg�!�G.�s@��!


5�A
-m��`�`,�@̻Wi'�<���r^_3��r��e�ts�5V�l�A?^�)������Φ6��ė�+�*�����ޙ�pξ@���
�����
E+t����2R(K��3��M�
-�"��Q�_��桎��|�{�~�~��/%މ���ž䩣0�ʲ��ݏ[� � `��
>6����/
36L2r�^ �9�
-�3�qJ�`��5����#�;�r(z_�iDب�4�X=����R1���b���
�
+('�s�4�v3fry?�=;�O�}�W��<��e���U,D.4W"�Z��fKAM�&փ]3� (Ȱ�2&��xR�
�H�0�-_k_u0���֦q�eo�,�uu�y��dR�I��1Vs�p�;��_p�����$�8�IS�鏑���j�
�=onOܖm7��5���b`�Y�����}���{7l��C�{<�ʂ3�S�m�R�鋏8����oA�(z�r`���UR�B�X���4���䨆�7ׁE�C��
ކQ���`륰Z�#�]z���G�̞�b�i��2z�P�
����h�ϚW�<4��Xh=�
-��u���
-J˾�ٔ��	%�q"t
�'�J�G���_Q
�׬*��S����t�
���@ڪ�Yx�C���C@&�
�%"I���$7��%�x����2F��/��N�^;�<�z�����Z����Ȧ�,�v�
u�}�G:�S,�,�7DDZ�>�ņޢ;��SG�
>��
��
�� *j�H���A�������#�ZZ�^�3d�5��u~MG��	�^d]b���+	N�єE
�-�U��8���gVTS�,�v��,	[�b��V��'��k� r�c!!�/2a��bJV ި
8��u�W؞�����I=��h�i�#�KWY���=�.��
C,_G��q��y���s���C՟��K�ߨ��{3�Ui����U|h�
-0P��o�
�d֧>'.��8^�jN�]P��c`h&Q��C���?!o��{� F�endstream
+x���r�����B�Qâ���*��*N�d�K��E�"�)�%��owwO�b@��9�@	3��}���7�>}/�������Y^Yye���4���3��H����?���H��1�Ԫ�����v��~>ѣ�u)�����V����v1���bj�v���b���O�0H`
BL���3��-�D^L��ն
���C�����T��
���ⱘ*<p��
+QL�Փ�VOf|
����
"s"��J ��$��R�ҔҴ���hNu3UF:���]"�2�s`��zp���
+F
�=|�
+|�Z��;|�q����`� I�%is�@"]�J$��� h�-d������
�}M���B�ZR��
+�@�8�Wqy�dS] �`��W�/'@,�����u7�
Ğ�bZ���SI��p<�0��A�S�팅`w��d��FZGv-TN<-�G���T�x
�JM^P�
a�W��`�ŝ�H�ŜO���vEb��{wB׻�C��
/�z�q��U��E#}|#�!~��}�
����j&����$am&�#��
c��:r�_QҮ1�}Ϟ���QW0/
��l$�y�{w&ؑ�U�����K�x<M��l�g9E^eH�9d'���a"�`���W�ZE{u�6I�
�ƽ:����9����T&�� |�c�Ʌ����~� ��:/�G�m#�2)��X�^�(E-I�߾��i8V��p�ҡ���@���)����3���(b��;�P�9��ܿI_��IܑNm��M0!�'������ޡw�
��8r��̈́�JS5����q�����h?
+�g&��9�
~�8'l1�r
�Ÿ/*�c�
*�졥�U�T�*R�O8C�ڳ�j��
?c���=2�����ј�:a��_$�k��)M��K4�|	�q��X�^��׿l�kJN�\tTeB4߳�IV�aݹǎ3�
�,_
�U����|w�/v'�s
��o�Kt��m)$6��@�k<?HQ�,O��Y��p
�BU��u�ۍ
+���[�X��h
�&�1�V7�/-m� (ߡ����
YE�ѥ�+/+
�Y{�m�o,I[HY���Fn�S�PͿZ�
��v��J*�o��i�`a��Ya{8G��|��R��3���A�pn��ֳ8�z�%
f����T�}����Ŕ�;6L�
[�ѭǤ���>�>�KeJb-��U 3YWR=W���o�X'�/zs���)]e

=���L=z��Q�`(`
�pkTt
ǭ�fA|�z����]"��!"��c��$�IyЂ��C'��[j��]�.���R�|���Qv�I�g?As����O�#C�$m�ƴ1I׺
�Ϊ�1�!o�R6�1�����kv�/�ꃟ���
�.�ZV�0�!o �7��n-h��^��
:[6�����&���1�鴥�C
���!8wl$��C
1��
����{�HIe�J
�y�mHJ�)-��O�E)E�JXt���?���O#
|si��Umd#
X���!�-
U����P�^�8HA�8��~X��mX�42X<ɇ]��q�
��oӔJ��{3�R��c�f�=�Eқ��h�m�4:D�T��7-R��M�p�L�|�v/6��
+M8<R� r�Y�۾OB˗t붖j��`��;a�ʡ'@����
�UE
^C�k�tc�C�-t��[�Z*�Ya�6*�W���]l\�
�4�5|�
�U�{�
+�VM��њuy����N�@f�=��\:"\�>��_�m)��%8�a1i�%��l��)��p|�
'Ӭ'}
��	 �tP�����l�.�m����0�7�y

c���
�pp<�X����
+
j*0�Q�/���O0��h�?��*"m}��7�����Y ���o�s�#��)��>�1��hz�蜏�����<|�
�v!��==1�h*���
�T6:-��L��s�U�w���s��
+��VI�m"��*��9��
����.��}�����ݑ���7Q
ΕX0�0#���i/��/ۍ*[+�a�1�:��Di�zKW���$��J���]�z�4v�ŝ�*�� �u(�o��E%��a2`�N���
zk-^�\
+��n9K�\�zӌ��I��bF7V��������Biz
�QCt�xgܽ
 (�t+�HX�\��x�(L]��w���L��D
K��{�7(�6ޥ�I�H��
�
J5�M��WP
�T�&
+��,
B������
��endstream
 endobj
-3083 0 obj <<
+3372 0 obj <<
 /Type /Page
-/Contents 3084 0 R
-/Resources 3082 0 R
+/Contents 3373 0 R
+/Resources 3371 0 R
 /MediaBox [0 0 612 792]
-/Parent 3060 0 R
-/Annots [ 3086 0 R 3087 0 R 3088 0 R 3091 0 R 3092 0 R 3093 0 R 3094 0 R 3095 0 R ]
+/Parent 3385 0 R
+/Annots [ 3375 0 R 3376 0 R 3377 0 R 3380 0 R 3381 0 R 3382 0 R 3383 0 R 3384 0 R ]
 >> endobj
-3086 0 obj <<
+3375 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [504.536 612.52 533.192 626.467]
+/Rect [504.597 612.535 533.214 626.369]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.24) >>
+/A << /S /GoTo /D (section.12.17) >>
 >> endobj
-3087 0 obj <<
+3376 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [318.26 598.074 346.916 612.022]
+/Rect [317.876 598.089 346.492 611.923]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.23) >>
+/A << /S /GoTo /D (section.12.16) >>
 >> endobj
-3088 0 obj <<
+3377 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [485.265 598.074 513.922 612.022]
+/Rect [484.637 598.089 507.407 611.923]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
-3091 0 obj <<
+3380 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [250.331 380.307 278.987 394.255]
+/Rect [250.413 380.387 279.03 394.221]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.34) >>
+/A << /S /GoTo /D (section.12.27) >>
 >> endobj
-3092 0 obj <<
+3381 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [246.105 327.007 279.959 340.955]
+/Rect [246.115 327.086 279.932 340.921]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-3093 0 obj <<
+3382 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [286.152 327.007 311.557 340.955]
+/Rect [286.16 327.086 311.537 340.921]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-3094 0 obj <<
+3383 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [340.243 327.007 373.773 340.955]
+/Rect [340.272 327.086 373.766 340.921]
 /Subtype /Link
 /A << /S /GoTo /D (cite.White80) >>
 >> endobj
-3095 0 obj <<
+3384 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [379.966 327.007 405.371 340.955]
+/Rect [379.995 327.086 405.371 340.921]
 /Subtype /Link
 /A << /S /GoTo /D (cite.White80) >>
 >> endobj
-3085 0 obj <<
-/D [3083 0 R /XYZ 72 720 null]
+3374 0 obj <<
+/D [3372 0 R /XYZ 72 720 null]
 >> endobj
-458 0 obj <<
-/D [3083 0 R /XYZ 72 720 null]
+454 0 obj <<
+/D [3372 0 R /XYZ 72 720 null]
 >> endobj
-3089 0 obj <<
-/D [3083 0 R /XYZ 72 560.839 null]
+3378 0 obj <<
+/D [3372 0 R /XYZ 72 560.891 null]
 >> endobj
-3090 0 obj <<
-/D [3083 0 R /XYZ 72 464.159 null]
+3379 0 obj <<
+/D [3372 0 R /XYZ 72 464.244 null]
 >> endobj
-3082 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3371 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3098 0 obj <<
-/Length 1761      
+3388 0 obj <<
+/Length 1708      
 /Filter /FlateDecode
 >>
 stream
-xڽXK��F
��WA2��h^�Q�h��P�=�{)�=h-�Z�-�Jr����^r8�F���,����8�������Wo?�f�9˴^\�,�X�IJD���+�pȷw�%��n����o?�4���,b!-���e�l�_�<�acW���ƫ*Q
n̴]�pU*u\�L�Î|��몾ōiԯK��H��V��>���[2�$�a	ؔ2�3���e���\%:��~��~�	��n��C�Wۼ?Z��`g]n��-o۲몦���C�tn$7�)��;��ۃ���"ft�E�<�DMH9��gZ�]O����w%�s��"0��Z
µ�:	�����������e����lя����
]^c\�k�����{1��D�'�g�史���R���
d�[� ��
�J&*w�x�;��O����Y �vW�y*�Kaa'ju�ݖݳs�pNq�Q��#j����럍K�E�v�����s�[�W�q��-@��e[���=�-�lI�X�w�7w ]
a�⬺
���w��n�PqY�`#u�t:��9���JAf	�����
x�{�}!tX�s�/(
�I��@�:��2�mN9�B�t�f�p4�#'�'�1�����!��j;�����K�N-�1}E$>ǾPE�Z(
�ڨ��
C	>)
䩍���K�w��@5Ey��6>Y�m��o���KQ:���X� �R:�;�ĝk�XW���YX&����h���0�J���M'�
��
���U
��ar1\�W����Mu��
*�x���R���3+��F:t��SH��K��盁U,Iހbq�8GL'���?��}
��b����c�y�I{}s��4iw-��PS��ϱ(���g>l���bM_�d
r�#�!�ՠ��m�o�������9Z<uDx
!�1.��B��"~���+_�PS�5M/��N
-�ش�iu�y�9�&Y߻�]G�,�u��rڅ���;��s�窰w͡~(�3\��.�v�s씄ĖO�j��*y���6����>cOy7l��\j�/�b�%&�z,2&R
=h!��W

�`��
��h'�����l�A��@�RT���K�M�?I@��a�����\�Af>Z��B�(
�B!Ć�L9�j����끛%�З�b"�C�7E�I�.���tΣ��uE'�[u^G0̔=�W�$��L��
�(P'�j�C��f���	�ҫf뇩z��
p�`J�K°��L���#�6�!�RL�Edi��U"g��pp���曱�'^(�t6��Hό3p���
d`&'9���i�b��05h��V٣B.` 4&b�Z���8_��,4�X%,M	��F�9�0���Z
ҁ
��I\���yc�7��i���-�7�fq����A	�"(�9�2�aG<
-M�ʢn�o��0,�B�^�rG���
l��T��ʯD,F�=xS7K:���E�ЛO�
-2M��<	h���ʖN7؆�
���
>ڻH�
����ﮃB�yiﷺ�؉�Y��L�xF�S��tz���WH~`z�υ8�sU;�sG]7���/�);����e�Iڇ�Q�

A�F�w��t:�Bؔ2�͐�b.�$� ���/N)�dJ�rfu3��O������˹u�ܹ1_n�4J�)
���?ם`*K��>Dž��3��#�9
`���� $
-d�*���
Ȟ��cej@��8�7?uOӺ�)�Y�\Y�z�c��
:V�
䚉�L\��Y�a� fL'�‰�kڲ`���j�Z����E��_}�|�g}a�endstream
+x��XKs�6��Wh2=H�Ƌ�6�i�ɡ����ҩ{�%�Ҍl��\;=�w�X� 	�j�\z�(���>�]�����wB������jb��p˸���oӷ�31��uׇ-������?���.��)�L*)��
r
+�e�J[7}���Y�*�H�
{�^�SnR�]�%}7�f��=q-���x��p]{�5�_�$�Ҏ5����Dq����*lK4&��-)֘`ȷ���j��kN�;�.��(�+����M"y��m���4wa��?_㳏
zy�t��>z>�
+[�H%�3�	g�&o�p����3#51�VIn���使0/��{Ԁ���ߪ�XQ�6hv��%1ݑ�.��zο�mNL��e��A�s������Yv�q�u��,�?���)�2BV��{�mٗ���Y]��-�	�S�j�gƠV�I%D̓�y�~
ȿ#ݙ�IW��Umz���o>���*Fc՞^��O�PK��=��3νK�}W�`�}��Bp�<�}�3�āފ��w�ҮB)�;2�����D�
曆(r,i		����̸����h��2g€q<�FM
��:f�(E�-N�
a�H�_�,J���Hj`2�З�Ц{��;�P��l����b�Ce
+�ɾ���$|GKw!��=�]p�B�y�Eh�y�� ���|*|h��'�C�����)iWWsrܶ�'w��g���J@>�onJ��~]��C,�u�\'�f
l m.���C'V1C��e��
+����
_��}��BE�V�k�����b�P����
|��a�� .�����d��"
��'�
��&
E/Ju+s�OG�W��J�B���C���
��*�����d���CP�`�lI����-r�B���礹z�N� 6�`���
9$&���LW
�Z
����̺Nz�p�.�X>�ð�Y�(*���8\Z1.NB���D`O�
�g�
�%��(��PU~�QBf����+�lj�� ��H��>]��ġ�3�au~�������
��c��
+6�d�^'�_��B�_;���h�`��犈dGTI�p8E&�F�M�
L2<�e�>��8�$�f��;�
�Yo�0%8>�%19��2nb!��G��2�$S	�(��L�k�S��n��b=o��E�1�b���Z��X<1�&[
2A2m
V�U�H ����)��N���
�@��b�������
g�AU�%-Y�{����PøV���8�ٙ�QLY1�i��U�W�Z�y�:�B2%M�YBf at A�:�࢒F1�|Z0ih`��NT2��s����$�����&$��XQ�S�Z�æ��mX�ޱ��n���-��)T�<� ��`$��.����-w��M8�̓~v?�` XiGM���|�����̦w�-�e
�Ɂ0m�
�L5
��q|kq�!����� ��G@�U?��êR�_��|E�@� �(���I)
��@�ʐ��HBK���� �u��A����C��oU9^6
��G�'M=\{@���{M�lz�f?�5��n͕,��bN�I��'0\���6c����l���*�	�nle
�I��Ć���ާ�S,,� N��A@ғ��F`��6~?q�f��0�K2�jyZ<;4��![��9ל�L|���e2-�|�8)�6����9X\v��}�E����gX��pԌK�8��J
�v��A���	�&�v��6�裠�/ޞ���"C�endstream
 endobj
-3097 0 obj <<
+3387 0 obj <<
 /Type /Page
-/Contents 3098 0 R
-/Resources 3096 0 R
+/Contents 3388 0 R
+/Resources 3386 0 R
 /MediaBox [0 0 612 792]
-/Parent 3104 0 R
+/Parent 3385 0 R
 >> endobj
-3099 0 obj <<
-/D [3097 0 R /XYZ 72 720 null]
+3389 0 obj <<
+/D [3387 0 R /XYZ 72 720 null]
 >> endobj
-3100 0 obj <<
-/D [3097 0 R /XYZ 72 697.999 null]
+3390 0 obj <<
+/D [3387 0 R /XYZ 72 698.015 null]
 >> endobj
-3101 0 obj <<
-/D [3097 0 R /XYZ 72 702.528 null]
+3391 0 obj <<
+/D [3387 0 R /XYZ 72 702.63 null]
 >> endobj
-3102 0 obj <<
-/D [3097 0 R /XYZ 72 463.552 null]
+3392 0 obj <<
+/D [3387 0 R /XYZ 72 470.253 null]
 >> endobj
-3103 0 obj <<
-/D [3097 0 R /XYZ 72 253.754 null]
+3393 0 obj <<
+/D [3387 0 R /XYZ 72 256.105 null]
 >> endobj
-3096 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R /F29 672 0 R /F54 1447 0 R /F51 1171 0 R /F76 747 0 R /F32 668 0 R /F48 554 0 R /F35 1440 0 R >>
+3386 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F142 743 0 R /F35 663 0 R /F69 550 0 R /F38 1435 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3107 0 obj <<
-/Length 2559      
+3396 0 obj <<
+/Length 2519      
 /Filter /FlateDecode
 >>
 stream
-x��YK���ϯP�r��V0�$��^\�V���$�dw
����ǘ�汩�oO7 A
4�Yە��`��ϯ__^|���3�Y���r=�%�fV��
-&V�����O��}�^�h!��\�r���%E�D(��t�]_o��Y�R��r?����ջ>��aB(O���KQd�s�5ws�;�1�><zeD@�,�B�%
'�Vj>+XY�N+g
8R)i�7�I�f�w�
9�h
-���
3Z�6�i�>VD�|̹�/�����j!�eVO�xS�u��d�y=o�vSBG�9��2�A)`n
���y���0�����K6��<���zδ
&P?�n�]4��#Q��k��l�TW����5r���-,�X!����L
L.�x���}�[%h��<�씗t�Ml�/
-����L�h��)e�� X���|�^[�e��!��c�fl8%
Grp�揇j7��1Ҹ'�B;9�i���m�֝��I ��Ȃö�	$�M����,q�a��5��7d?��kO��'�c�)����ZLT.@�A]L�0����	b�'&c�C�v�x�u����
��f���-)sUo��/r_2]��iy�
���+�
.K����Ew�#�VRs"��W!���H-(�,� �\&Ĥ!��y�r�
LF؉i��[3J;O�˴>�V�!�����
�;9�b�G�����a�����fj�Mf�3Q�a�f)�$^JR����$ŏ���0 �rp.�O:����96W-��V
<J�n������k���E��/�}�
��y��L��-
z:�	�.��.��
��Ya4W;pa��1��q^N������.	�*�z�O����Q|j�ʞ�O�8yol��'�)� �
q+ul?��E�����
��el��3�6��%,N$`�����ߢ�p�n�xVmh�vp�U�
�̽=�{3V�0	�V�G��T�k�n��T��=n�tp)�����O'"�, g��B��gx�����\
�	t/�v
-��N��
k�v�
�
R�P�X�'�5a�ѥ.���@[�#@z��$ �0�l�����ç|���g�]�L����Ҙ,g�
$&����o?���""�5��0'İ#����)�T̀���H�$�)�H��Ɇ������qF��,$1�.��(E�I0k��"`#�F�G.��1\����`�
+��4�c�j%���,.W)����kR�T�ˢ`��ԝ�@(��97�>k�Y E�Cy 1��8:�DT2�o�B~O9�s�,ϓ���rO�;9J��� m�l�H�Va�
�H=�
Q ��9Gx�RXs�
1%$%���U�Z�Ka|�z�	�������
-k\~�����~��Qx7�&�%1x}BS��0d�/>���
�J�	�
9߭�?��s_���G��������>l__��E�ρpH��ֈ�
-�!g����=���ǼTP7�v �r�OZT̔�8�D�?�iXWK�
>�ٿ��l�kz\�[D6N°xI����ov
�:������
���C<Ti���M3�ijǹ/��
�.<�ڻ��g󅁙�s+�`�6��j{���xL�&��d�_�
vop�D։t>3�dv��\g���*�\���/h5�4�_�{xC�[<ƪƶxG�p�«��b8�
q]��������*��&���7����j��W8��J����@�Q˲�T���Ʃ
q[5"`7���0<!�Xv	0	���Ӽ�<t]�Wي3\�:q��?�ɎI)Y �aG�
�2��H�h�r��ȠV�ѽ[�m�[���A�}��m34yK�E
��3l����|j@��~���T ��,;����-�Eu�)O/ �{,\���JY�Rܤ���0�������
��ioЅ�
�ź��4�æ�W�a�uM�GzFi�Z0��uF=NX�
-9(GЭo�6�
X�7H(%���7)�1:�D
2A������
pqQo�I�pʩ�.B,���V��������f�ƞj�B�Q
����C�����+_�9P��_�����]�-�����T�n9��q���my�����d��4
6�쳋�
�\��N�FW���F	֧$8��'6�}bO�d.ϋ��J��"
�r��Qc⃇��m��ߦ0U
-�Q�<'��T'Jơ��Z/
�ȅ�|
GF�̚T�eH.*azf�����>��o�M�Y!ɪ�
���3G
-حs8!�P�ڡo��eT����=.F�m[�1u�"x��h�ۥӱĬO�g�;3TzS�K�ik��*���+�����T.�M!H���r
��M��3��GS��/\�ࢉ|��e0��L?�oP�����`�����I_��b
-��-'ڲ{�aQK@,ضXp0y�kE!��X.U
@
�e�XRA ����n�{���j�7�
-ė���O�!6PA$���_a���>�eJ�![�D�áKM��y��j���2�=!��j� ��±7Pj��ȎڏcǖQQib*xk�m�@T�&�� 5�@5endstream
+xڵZKs���W�\> U�x޳�DW�*��8aRI$
@<(:I�d9U����ٝٝ@S>@�GoOO?�~����|�Fh?�yc���i㙱S��5<X�������_����•�f��凹�m"��2#�I"��6���f5_(�g�9�s�{�6w��:�I���u�𱴳k��ۏs��6w��̮��sd�r9�g�]HÜ�qc\�H���1�΁�j���yE+VdRLi=�^WV�q�H�_
Yf��,T�u���
=_3�CE��T
k�
��>�<v�)�+�<GD=�
�48LN-��� ��1�m4�
+������p����p曆d�O�
<U��`� �[�-�wG���EX��
��g7DwE�nH�mOD|��l??���a�����k=w�2����^W8I�<O[
>P�G�m/L�0p�.�3L	��L�
�0!�V���������=D
pB>{F�/t፞I
ި�&�Ə@�7�:���A�N�
���9��(�`�ؽC�Z����υ-
�<(�3�g���;{�{<����
7�� D�
�a�*Z�g���a)4�P(�C�&�H>(Iљ��~W��!Яɵ7�}���.�����6>M��������z��/�k%!>t�4�K(8��5�jt�18Њ���_D`2X«V�\U�l �R�]���5���
+X���Z�&.3F��:�k�U3�lO�bK�9`���~��)h��aҚ�o����$g����fG
&O%Gɴ�/O���
+� �~�	�� �=
�/�'�C�5�{�J����j?C��5t�v�
+
p�6C�u�v
��:��!:�Ӭ�
+�Iw��H!!�:$*m�*�
�����:��L���w
6
��

6��F�`s��~�E��^[D���'u�FT�qL�.ym�t�bթ3p�˨�Wj�PöF�t2f�z�{�
�@=qv�� ��o���4��*��H���(ѮJ�@4)�W�)Ҭ<^b5��GZ�{[-Np�C�"���4
� O+�C%X�5m���Rb�?v��1&
�d at p
+���ȩ'���~��_�T7<�0�K
+���G(�0�|w9���S�΂�(*,t�~��M~��}ϧ�	��0�LC��	�!!*?�M���tw;���ǖ�"�Zd̾žZ5EjM+�:�7�K-�5�-h��
�u$G
��Zrl���NM%4F�A��ڀ��E��e�&�-Ts
�p
IPEuV���`��:ń�$�(^�z
�@���%�y[�d
�����ϩ�J�Z�}�5���-�Rt�S�r:�
�}�SYs�:&b�����䲁��%���gq���yzV/׳
�=����>�@\�:�QpͱQ.LΘ�hh�9QGTV̛R��0�?��L�0�U
?�N�`�F�ʹ�udQ$Pq2�1�K��}��,�z��,lP�� �g� �ۧ�vK#��m�6��W���?��:�
˺�s����O��g�
+w��t���̽���;"�q�+{1�[!$��8^��#�
+���K^��ߡ��!�`�
�r� qi�e�~���)
�OT�D�M����?/
�}�䛞��q����0~����4(���
�,�V���x�p��ix��r�+�h�W�J]�m�V+�a ��p�_�.쌲0B����x�+U���) ����U���u�mx�:��*���Tgt�
��82��c��l�L�Yw>�6(�i�xƗ������W���r
ky*�	
o2����v���b9i��������

�*��U����
"W�.�I��.�H�
+��P�Q�8��'�ɶ�$
u����
�ED�IuA��|\Ͷ	�v񾘗+j���؇��M~�!�fq���U���<�2aT�X�ZP�y�*�1�Фh������� ��%A��,�7�5�O|�|��i��h��)
��9I�cv���O���d��	9��?�0��|G���s�
i���x
�UC�2.�
iO�C�~Kx4�Z&
B��
��z�c8��ͮ<��W~��(��eL���z��>z
E=
��I[���
+v����T�qPk����N��<T���*r�
_"2��l��iH
j��B��!�L�u�`I�#>�-�"�O�Pb�\5�	�CAl�zN��9�����E����*-.��ZX
+t�t�B�2����%3��f�s. ���$Ӕ��'vx{*���D�P�bVe��>}�cWp� N�6mb�8�-�aފ���J֮
罳�a�����Q��:?��S�]^t�Ѫ|0Q���ዡ
��Z��x���[��*.���;&���Fs[�g  ^Dv#�P"�2;��h�{>��d�M|Oi���J-��5��֟N�*C

����
��"�A�#�bG"GO]
Q�wUP�*<)�I�τ�J3j^�^��vcFɡE����qz�]r�ǁE$w_o��{��U!�0֏�ʞ7_�����;���&��5sh��t�9jޓx��sR(�MsT��E�_�dh#�
������'��
��aV��`�H�Q�V������uendstream
 endobj
-3106 0 obj <<
+3395 0 obj <<
 /Type /Page
-/Contents 3107 0 R
-/Resources 3105 0 R
+/Contents 3396 0 R
+/Resources 3394 0 R
 /MediaBox [0 0 612 792]
-/Parent 3104 0 R
+/Parent 3385 0 R
 >> endobj
-3108 0 obj <<
-/D [3106 0 R /XYZ 72 720 null]
+3397 0 obj <<
+/D [3395 0 R /XYZ 72 720 null]
 >> endobj
-3109 0 obj <<
-/D [3106 0 R /XYZ 72 601.063 null]
+3398 0 obj <<
+/D [3395 0 R /XYZ 72 601.064 null]
 >> endobj
-3110 0 obj <<
-/D [3106 0 R /XYZ 72 340.382 null]
+3399 0 obj <<
+/D [3395 0 R /XYZ 72 340.454 null]
 >> endobj
-3105 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F76 747 0 R /F29 672 0 R /F51 1171 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F32 668 0 R /F54 1447 0 R /F48 554 0 R /F35 1440 0 R /F52 1472 0 R >>
+3394 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F142 743 0 R /F32 667 0 R /F72 1166 0 R /F114 560 0 R /F126 638 0 R /F35 663 0 R /F75 1442 0 R /F69 550 0 R /F38 1435 0 R /F73 1467 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3113 0 obj <<
-/Length 1345      
+3402 0 obj <<
+/Length 1365      
 /Filter /FlateDecode
 >>
 stream
-xڽWMs�6��Wx:=�3&� ss�&S�N;��δ�)

E� �ؓ?�� e)�3=�"��x��-���l����J�"M�o��y!����\�
՟��V2���j�FgG�022=���&�u�m�:
�M�
�<Z�J��_��P�;�Jx�C��'"˴_Ѝx���0A�e�I�w��^
3;�X�*�v���g��K
-���;d��!R&@i#���M�) ʑ��ޣ8��e�=��	�	5[��?�"��8%�	��nCx�M�W�+NI�(= �a�s�kz�D�mFaݹ�<Ҡ�V�;����*��ܭg���Df�a�Rx�)�b.q��L�*D��o��u��rK�(�XB��7�
	(d!��B�]ݮ|
����~�H�=

�H�������C�חQ�3F�1��FxO@
!�l/ GI7x���B��VI!�	������9��z��k
)2aԷ&ey at q���TC�#�
�J��Pߔ��=��
&�ޯx�0�W��r
fTGi8�
-u���������q�i�
-N,HSg�	
V][����eå�sueW`ly���pU��	��R�b%�ᰯ(`3�


[�r
�i���*A��P��-
Z��--V��5.
[r(:'�ٞ��҅\�0��S�~t{�K�c6v�J�ȓ%�Ȯ���u
�&�vm]�\�9�A��`�y�S��n[��񶔉�n{=n��w���ա�IA�E����]�u�%F=����o��w�t��v�L��Mb<�% d��[��X�
~�vx���Б���'m�
���H�{P����9B*b�ّh$��o�<��f�Ԥ���$5��W���1
�۝G�=^z������X4���c��`��+g�s7]�J(G
����ݮ�5�� �C9�~���
>�a��̉ |��z��5;�E�H
������
U�E#�m
m���
} Tb�V�,��
��F�[�\�>�[�����bv����H��̂��.��Fip5�^R�hS���NxG�Z��eҿ���ǘ3U@�B!��T�\��������� a<�r]��U��m=��H�@������Db
-����<"����v��O?��`�_�^?WDx�-[����,:�Z�e��`K4�+�V���IpՍ��'(pI
�a p׀��o��C��he����f�v�q�9�+�
?����jS�������x��^lJ�/c�u5.01P�
��~��H��l�\�
�P4��t]��r��Ǐ�>ȏ���3��N3���

~n��z�_#�G�PUӷ�uc�}1�-�E:0("�:)6�OKCm��B%1
P#Q3|���ٿ��S0endstream
+xڥWIs�6��Wh:=P3&L� �����u���t�u�D�jd�)%����
$�PN�=�"����->�
��k[��V�s��bT��e�<)Tb�`�Gtmt2�srqrnBB��7J��|\�h3����8N�����U1�6Y��U-�5P-�QG׉K�G(M�ʌ6Ե���
�oҍW7�إ�_լ2 O��40@��,e at u�rc�ᅈ�6��u���(G��UZ�D�uH�6�����$_�hwH�k��6M�“��f��^��5�TsvJ��
1:��؍�#ꕼ_D.���h�6/gI���Yq53��Ő?Liu��/�ϔ���j����*I
�T����
X��{]��0��|��.��<r��u�UZ�E� f"o
�pO�`QǠߑ�V4���jX�A�6�1�
�UV*� ����|=i�@��ᙒ�6,{�1`Hފ��P��h��9��r����n��
�a�T�� G��0�t��
ָ�K��F�o=�9��p��*/��f
+�� �"��o3_뾍���EW�	(��(�uP�_#���Hz�z<�OLD����"U�
���
�$� �j�]Jּle�l���l9��QL����}�3������6Zl�m��#nk�|��o:V����@W��]��m��J�o��K~����˚�
�h
+�a1�b�*��&�غ�Vj�5��a_�H]
���v�J" �ȧ���^R�z��Bq�;����)%yj2Y�
+a�H�}���5��&��7i6��s'����C�Z���Y@?0�0�~Zv���υ
�	9^�j)��LT����O��}$$�<����!�֕�oWDo�;�t�A�?��&�g����$
��
�D��^B�q��!0��>o(R.�����4�q���Ϯ�i�������es�_&��0Z�g�ci{E�����z%����|5ƃ�c�W��Rs4��V
�����2��������D�^��<h�.қ`���e�۳^�	�GK
�V�;�NW�@�.��3K䯅��� ����&&�oS.��$���,��)��Y}�f�v
+A���@ҥ��P�^N�j�ӍΕ�A4
2�?,Ȑm��������_םk�7�|?6y��ӽ�/�Β���n3��4ocF���
���{:�2HN^�0��w.�[��t�������ղҕ�Q$��?[VDU

̹�\Ѧa2m��!�
�WX��%�Br�=���{�D��^�)��ӶN�.�~8�K�N:�p�;	�
mhX�q�^)n"b�oR��Y�J��-�B���s�g� �݃_��o��W�i�.�Ԯ�]]��m�8������C�J�ne�R�'�M��8N�:�'�T�95���&G� g���endstream
 endobj
-3112 0 obj <<
+3401 0 obj <<
 /Type /Page
-/Contents 3113 0 R
-/Resources 3111 0 R
+/Contents 3402 0 R
+/Resources 3400 0 R
 /MediaBox [0 0 612 792]
-/Parent 3104 0 R
+/Parent 3385 0 R
 >> endobj
-3114 0 obj <<
-/D [3112 0 R /XYZ 72 720 null]
+3403 0 obj <<
+/D [3401 0 R /XYZ 72 720 null]
 >> endobj
-3115 0 obj <<
-/D [3112 0 R /XYZ 72 574.006 null]
+3404 0 obj <<
+/D [3401 0 R /XYZ 72 574.038 null]
 >> endobj
-3111 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F67 564 0 R /F79 926 0 R /F76 747 0 R >>
+3400 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F126 638 0 R /F114 560 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3118 0 obj <<
-/Length 2160      
+3407 0 obj <<
+/Length 2083      
 /Filter /FlateDecode
 >>
 stream
-x��YY��F~����Q�ݼ�l DZ^Ļ@<	v�ER�9!�9��ߞ���D�򐼈}Uw�Wg���~��e�t��V׻UdV�+ׇ^����Z;ʃ���=}��š��ج\Z�7�j[�O���>�O�1��$R�
-���M���w������3N��h��2�כ�燲.Җ�?��6�J<PV��N��F���
�Aϋ�C����/
-���[��vuN��y��5���V,�	W�
H��`�1�21���d1��B�����
{0�oI�����x�!�4)OVJ�L{h�87/*��/���
��pU^�"P#�=!�6�'
Q��5��8 ��
i���c��Cp��v�q�K�U�*8H�����MOd����:���2-wP��D�ޮE��:��jp�{
K��)� [���Jb��` �;<�@	��y��<\S��)Z&C�8�]�4�<�*��1��vǪzd�f���`@9��j9z�?��%��f�;ZX,h���z�E��T:�iƙ�n�)�~:��i���Ӛ�֨<�<�<���zG�V�M#X(<[7-U„�Sxa�;�zoh�"K��1K� 4��Щ�����zL9�05/ਨ#�T�1n�
p��Ч3�<��ЭӇ1�N�4l����H�}�Bk9���:l�{d�B����7��W��+�+nl�ѹ��Ǖ�4w�l�U
�;NkWE^0�������;��}Æ: �3��p��
�ˌ��1G�S������%�0�xƃ�{�|
����X [vڲ<���
�Y�a����q��W���>j$�	r̶{db�y���P��$�4ˊ�
M��0labfSI��@�sd���Aҁ�h��MbPV�
y�ƆY�S6�$`���B�gQ
�J9(�fs�8WO��I��(�I��hw4hEn l	3v�s�@Ѥ(�%�
	J˾	��Ҽ�)3���.I���P]���|��� ���Y��A�Mؒ�7d50=̮���	@ˌ\L����9
C)"^Ssj
-O��ˆ�K�7�)4r�4v%��4e�iL���id����
F���';P�����K��Dx��:�H�^0�PE���O77��kI�Gs��ʿ�՝{�g��TUSs{��Ē���
-#��Lm�l�r#k��[�
-*����D��}W��7�'���d��Զ����4�̎�'��:ᜣ:H4�
���=Ϥ-V$�9ƲTJ(�
��*�웱H�v��G;k�E��DC���x�����0D�vBޑ�
}���p	
��O
��ۚ
s��C�d��/�1�R)uf��ooe.1�D,����2���Z���T�;v�<:#�ϭ�`�`�o�3z,��\���I=;��~�B
I�?�C�.�-�f|��E�����	�čt�[��K)�'�� �p��
P�GU����]��S�V�uM��r
 '»�q�ۇ��!� �fLp�5Unt���+͋O�5ĩ�w��PTřb
�H��'����4Y"Y����('�����DN-�k�	>�$�e�3���Q
�J��w��t��W
yl�����4�%�Łr�O0�X����NK�Fo�0����+�������y;���>&��R�D��
��Y�`��ϵ�;,�ZJ��R)�{ʅl3�eF?������Wq`M��3���7���#Œ�-_-�L�.��v����
�JX���0�*��Ҁ��d�k���q`̣�R�kQ���0��_�͌�eg+<�|���������!�u��T~Ω�L%w�df�c��7�����˫gaF(�9=�A�B�,�
lH)^�wӊ����wZI%˥��ikE�~�T6��
�͓
-��XyẕJ��x�
w�m@�7�O�Z��K�&�&��-m�
= �<��5��HTG�(-��U��L]8%¶��0:��T%��n� `?�~C���Y���i
���NQ�;)n��.K�t�t�����~2���;^���W֏�7UO��J�(aO6�R3v/�0aKMd�P�Kz��I�1�
���0+�+	�n�XӍ��]0]��A)˦k�N��@�w���Q��
rG���/A
r\��
l4��? 앾�(�������0�Y���)~EL/�G�8��fL4N?yq��w�Z�gendstream
+x��]����~������C$r�\� �ɦh�˃זo��ccyo����ޙ�P�,�kׇ Z��p8�3
틛g����Ld)�,&7�I�&e�Dn`��W&�2S��-���� {���X-�v��v
j�-<kx���sx>�S��0���U)��������*{A����n/��Mg��ُ<��q��'���@�-a۾۶�!m( !4�1	3%E%
���
F��L�E�M}/���wS��¼��>�L6g�@��X'�U5�p at A\�X�3e����b>UX�?u�k�*!b�v����&bw�͑᷌��336�1m�(q��y�-
��l��?������7�,q�v���p$�䓙4�K�y7-�����B���exL��-ΕH�|�f�[�
o�,����@�;3��n�:��(%��@:����	!�Ձž�c޳�Y@��wϙe���j�2��i�3�����#�C���^M�
+ނ��V�$'�KΟ1
\
iD�7������IK)���i^���zB��zj�#��uBxc�!��c���E��qqq�&\�����+q�"Iʴ
���hU��o�z�Ŀ��0�k
�M���o�/�ؘ��H�y��M0���'��`���qT�{
Uw���O��
�
�4���¢�	zqw�/ޤ�����+H&Rg���L��O���fS[S|���z���������nFyc��m�	�{��_���
ֽ'G�H~Ϟ�j�#%#w=
my��=4��	��e�$x&n%�y�7�!X���S��"�?����9�?���N�SG5
�c��c)�?C�y;&��?
��+i�%A����^�b��.����g
+�I��8t�j�q���4�s�z�[�v��
ֽm8�/��Gr�����*�#�uG� i�czŞ��T�
+L����(��4oe^�d�n>Th�TEW?����9���e�u�L��x��
�$w~2���O�=�=]� ����
��+r lP�PEf��W~�
+*)X���)&1�E�,wQY&�
N�*,U�+����c��4D�Ǎ �3�����<J-J]1*��ma�C�����m�y m��6�6J
%�S��B��h��������a�u���
|��_Z�
M���G������l��$
��;��Ȭ�}�K�_�J���j+�P��&��{��s�/
sgD순�˪� /3ֽ�߶�xW
Fe����}�Wo��$2�E���*I��@
]{�w��z�&
X�<�$��}���Oߵg$•�VQ��$��0U�`�3�>��s{�������SJj��E7!�_�.#_��0�K)���')[���F�O
Ɖ�4��-EvɿCE(#
+�1�p��qiu
}w�x~�x�kE
6�\�"V��8b��OD\��dK�-Ecu��Y�Q8���CG���t��d�������l���Їd����uy�$��������{��G��g�>�>����e�����滼��Gt���I\m��6�u�)+q���\�N��=��>:D�lѻ��'�
+�t�
U�
k��(��$�M9�^a����~5^�{
��՞��o��6jF
+d�*M\ ��p�l�U'H�F�"X�+�ª�G�}�Tm.���5i1��l?����8�<�H{Ű��}p��y���H
8��������p/&Ђ��Pp%��N��Q]݅�%���F��UQ?�0͂�w���I2��jJ1O'Ic�����U�5@�(��m����~cP�IVG�^/���zjU�,]���h��\%�J3O%#NT��
.ipQDR�*o[ݍs�
�Fu�4��
����]�=%,� �2+�?BC[�c�)>�Y�F
�9�
�h|!���Vm��6�Y���K��������`^�
;j�Fҝ*�t�� �TV�O>Yᆹ?�׶��T�l	��:��n/���&���v���r�u_ǟ3�dw�� �ǰvg*S'[� ��/�K��}�7���0�)��n�^6�����rrܽ4ޛ���{)��.�#��C�`����~��a���}LÅ���<��h�kx(�]��$��_yǁ�����
+��Z�BT�Ro�9�O��\!ijoo����zendstream
 endobj
-3117 0 obj <<
+3406 0 obj <<
 /Type /Page
-/Contents 3118 0 R
-/Resources 3116 0 R
+/Contents 3407 0 R
+/Resources 3405 0 R
 /MediaBox [0 0 612 792]
-/Parent 3104 0 R
-/Annots [ 3120 0 R 3121 0 R 3122 0 R ]
+/Parent 3385 0 R
+/Annots [ 3409 0 R 3410 0 R 3411 0 R ]
 >> endobj
-3120 0 obj <<
+3409 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [219.388 612.52 248.044 626.467]
+/Rect [219.432 612.535 248.049 626.369]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.24) >>
+/A << /S /GoTo /D (section.12.17) >>
 >> endobj
-3121 0 obj <<
+3410 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [504.536 612.52 533.192 626.467]
+/Rect [504.597 612.535 533.214 626.369]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.23) >>
+/A << /S /GoTo /D (section.12.16) >>
 >> endobj
-3122 0 obj <<
+3411 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [199.639 598.074 228.296 612.022]
+/Rect [199.461 598.089 222.231 611.923]
 /Subtype /Link
-/A << /S /GoTo /D (section.12.17) >>
+/A << /S /GoTo /D (section.12.9) >>
 >> endobj
-3119 0 obj <<
-/D [3117 0 R /XYZ 72 720 null]
+3408 0 obj <<
+/D [3406 0 R /XYZ 72 720 null]
 >> endobj
-462 0 obj <<
-/D [3117 0 R /XYZ 72 720 null]
+458 0 obj <<
+/D [3406 0 R /XYZ 72 720 null]
 >> endobj
-3123 0 obj <<
-/D [3117 0 R /XYZ 72 561.373 null]
+3412 0 obj <<
+/D [3406 0 R /XYZ 72 561.421 null]
 >> endobj
-3124 0 obj <<
-/D [3117 0 R /XYZ 72 465.229 null]
+3413 0 obj <<
+/D [3406 0 R /XYZ 72 465.304 null]
 >> endobj
-3125 0 obj <<
-/D [3117 0 R /XYZ 72 338.854 null]
+3414 0 obj <<
+/D [3406 0 R /XYZ 72 338.924 null]
 >> endobj
-3116 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3405 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3128 0 obj <<
-/Length 2231      
+3417 0 obj <<
+/Length 2140      
 /Filter /FlateDecode
 >>
 stream
-x��YK��6��W�a��K�(Q�ܒA�d_�Y,�q��zZ�
cQ����o��G�ڙ,�E.�d�,��zq~�{�歊o��˴��;ܤ��uv����G@)~s�eʝ���4��CW��N��i�N�
����<�}Ӧ��h������ǝ
�r_
p�3S���>e��l|D&Uכ�w������$]H�{�ܸ*�"?#�?�����b!�_����^V�(/�#Y��΍<��vx
Wex9�b˓���g鑸g��~﫲����k���F*��Q�C�s�I3�֎M�W{���z.�V��,��������=�X��/�}��dH��1��7���
@{b��N^�b�SU�l�{��
P?��*
,i�"��
�;���Qx�!끷W��x�wŬ ?� qN�!#
3����V��ټ)�R
xe�B
-�/
��/�%�)+X/,rf`>�y/<<g��<��k�;x�']Z3�KUS�(/�1	>�1��B^Z�������{��
�V~�f d �Op����{�FN��5�v���˒�H�"p��R����� w����
���NU��-:� >�&��!�y��
F3�a�W��
x6���
4�3��

k7��F�DD�����n'
W7b��˼0&%����?��
%˜����+9$|;�ٿ�c.Yd�R��!pި
6*��̲!��L��S�
����2
0�^�+�D6�N��������#!��<���F0�!��f}E�m/D�YE~�}/R��ߙa��y
-'�$n̟[%}�U���*i�
�Y%�,[Z%������
-�Z õ��|.M�w9�'
'� �����&�H
-��
�Ul�����M$F�WF�]����
-�/�q&��
%U�(H"�/I
�K��7��yA~8�qP�
�3�*�8{i�,��46S6n��h���@
-� 3N��TIF��
/H8 ݲ%B�QB%v~(Q���@,S�
�����0(x̱�ǩ�ux�9�z������=y�G\KE���(����Y�XG9�b(l��3X
�g^� ��?�WP�����Q�2��c�VX
+%EV�a�p��b�/d\�>h�+�� ���
��@	��d���Y2a��\���נ��Ӊ�(+�A��ς�+r���`X\F���2�U��컶�",��0�{	�3��z�Y�,���(�B���C�q��1�"_�ٲ4�f�$�F�N�0K^
lP/'����o����x0���n$�2�l�ȏ<�ڠ��-lx��k�J,�rp���\��;8i��t
��Z���p"O�Hjd:(����@=GH��4�h�\�z�>�ّ�
�
��er�������:td�)
�C�@֛��eP���SL<�+s�>E�B�E��w�yř�2��|�c,���
��p��l��C>,�֥ӗ��l��Yu�Բ8닩*�v��RCU P�9c�;	��M?�R�׶�xX>�
��K!��V���
�H�~#�
BJ'k�~�;b�lS��k0�����'��(�f
��Xg# �2v������V�8�W��㙩\D-b�.���w7�8A �N�Q����
[��F�|��
-��fƒW/:�
��rs��RTy(^��+8i�
-��6
���/�8�|��
��r$x"M��)��~%��ӱ�6|Z_�)���Q���9�jrp�bG�����i�e+�a����&s���Ҹ- ��DE$@�;�3O̸j�ϚSi0scF����ZD/���V%g��O��C��x�u�p�-�7���ŷ�Q)�
�p4�ǁ��Ix�����(�$C����G�a
]df mAV;G������X��}h�u�H�	X��m�sm_���-3�p"F�[Bk$�S�e�)������0��w���"g�GH8�#beS���L��7�3���m�aBP�?IUJ5s8{�\v��= eCϬb-�%'s|؊����-\�@�{}Q=��NRA�R"��c�_ŷC�;y��HY�j����t�T}�Q
˅�el4"�i�}U�!%m��Ћc[V4��g�a!�Z��Ve}�@�d�����/�BϏ���B�Ӿ^燂��@Y��628��(���zM�a#������mb��
�����%l��_i+���u��z�'���î$��j\��w�0�hm���W"��q�|�Ou��%��ε�
&#[�YX
�3��}�c���`�)\ N� 
�H���?��������endstream
+x��ZKo�F��W�P�P2���-	�H�\
+�� K��ƶ\SN�����ξȥ$ڃ@�rv83��c�zs����=�l���?kڲ�ڳ�5%S0��c���-
)�b��+�Ѱ���5�vK�,>o��~�HQ-��v�{���b������,�p�,`�[#����
��ƒ��'���fw����ë��?����XQV2��
+�J�Z���Q
+
Q�]ͪ3f�.�!Q%v㢄��y�,�3���+c(Kk�{{�õU�����Yc��-���wH�.:��+���^
�3��fm~‡�z�'�ە�xX�h��f����w=(��)
I�[A�xg��W����O˪Z8a�
�,�

.�M��̘
��&�q=[�܏�
�rq
����_���FE�j`Ɍ�2(,\����p��&g�´���=�ŧ �9�5O��O�8<�YUg0�\W���7�҉`8�F�-s��cW~`��s�:m�9m,�!67V��
v�$�˃0��Z2��#���%Eƽ%KV�[��V�8�
հfe/yשּׂw�f�`/��#�4�_D
��x��xh+fנ�1e
m�ͷ���L�m(.N�
���Y�X�uzX2�o|���d�noɻ9�I�32*�Tx�c-l�Ub>�]P�dsa����F;s�%�l�{�x�>)�d����m„/^�Od���lښ��]5O6
��C�G�wX��p?���`��CS2�������Y���ؚ2���V�(�����kj"V�JU�l��E�z1�JX2����u
��h�<

M]'L����
M����Q\����@h��ߤ���&@h��L; 4՘�a ��~��/�n�
��:���M1�
���1 at T�[�)������N��e�n}����J�*�a���I4-����{]]�z��!� ��d5'���
܅�Us'�����).
+�#q;��ے
uVH^�J�7���$)`.MB\wi!;�kw�r��
+��x�ܳ�y
՟��iBo�
+��;~D;�yC��-��[��	_�
��%}��v�
;����Xѽ�$N��Թ }�;Ph��란=�L�i�-��c��"��1(5xZ�����[Қp9�9U��Oa�b��`�����>�%N�<?�fP)�XU]��! %���:���e�6��*�!ePʵۛ
)�ޏMm�[&.I���v��/�r�(�^ϝ��)Ģ�3��� �KL��
ԧ��K��g�~�k���h���]�oL�h�:��oK�[����6������0�
�JZ�����3��	4w܌H�b+څ�N���@E<�]Yĸ�m��mn"�LJ�(�)���'�����T�'qM��
G�#���0E�C�y��{���޵��u$��b"Gl���0
��AF0��ⳛc�mN��=o!钾?,b�G^��{��j�S煽6[��Q�۲������R�ɸr�˽]��Q��XO]P��4k�%D���gJxǤ����u4��<�Z �Ǹ�G����]d�e�|�YPL["�����ԟx����4|z�	��x��r���/UJ!��Z3.l�ڕ�N�at�.��u[�6=�ƞ{UA��U@���J
�$ފ�mO�VK�6�Y�Jwݙ;jᣕ���6�225u�P��4�>���9{6��:��7�P�n(2M�ٸ�zf���n��`�tچ=�
�Vk��ä�Lzp����f<������ل�>%@���g��l�9���Ny1��
�K-��cUhu"&qb{�I�}�8l�1��{j�;����2��wOB�;;�0�A��a>
�0s�i{|0�����GrT̀�^�.��X>	��cAW
	:H��x.|����F���K����c4�g~�3���5�^wR��|�;�
�lI�_DT��>���a���Mw��*�4A� [...]
+
Tm�ԭ���
+Yj-n(��k�g�������Y�!���	?��L��˟Ѓ�%T�$�CCU*x;���2j�۝BQ�Q�'��}�������į���O�dY7�p��
�l�g��V�����+�
䑕� 2��*�
F]�d[�"�Œ�OȳY!�M���0���.|g�ӻXМ3� Z7%���|H�p�ߟ��tL�endstream
 endobj
-3127 0 obj <<
+3416 0 obj <<
 /Type /Page
-/Contents 3128 0 R
-/Resources 3126 0 R
+/Contents 3417 0 R
+/Resources 3415 0 R
 /MediaBox [0 0 612 792]
-/Parent 3104 0 R
+/Parent 3385 0 R
 >> endobj
-3129 0 obj <<
-/D [3127 0 R /XYZ 72 720 null]
+3418 0 obj <<
+/D [3416 0 R /XYZ 72 720 null]
 >> endobj
-3130 0 obj <<
-/D [3127 0 R /XYZ 72 458.107 null]
+3419 0 obj <<
+/D [3416 0 R /XYZ 72 458.145 null]
 >> endobj
-3126 0 obj <<
-/Font << /F26 548 0 R /F78 924 0 R /F70 642 0 R /F67 564 0 R /F79 926 0 R >>
+3415 0 obj <<
+/Font << /F29 544 0 R /F149 920 0 R /F126 638 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3133 0 obj <<
-/Length 1229      
+3422 0 obj <<
+/Length 1124      
 /Filter /FlateDecode
 >>
 stream
-xڭVKs�6��Wh2>HS�&�w��L�ڇ
���@����D�h+>�w )Y��Nz!Apw���������$�	��q<�_�R9K��"��������v!��,�����N&�"�� �yR�����^���
O�
P4�\x�L�)�fP1����(JH��X
E�ˍ�ר���F�°�V�m[e䋥����S�9Y�y��"�5>q��
K]�vĄs�F�Fn�ջ���jЬU�e˻�Z������@��;�4��4�sо���_"_ρ��~�
-�6�'���S
^|��t��~���)�Gn��
-]�7YR�Y�|����m����eO{�;;t�R[�����p�
j��Y���x��p������9\�,�����'4�.q�����x�y{>��p�կE�2�zո�W���\�kU���˅O�=U�ݮh��)�QQ@>)�^��ѣg�c��U��C�!�b~Y�R��BtJ��5�2=
x�
�AA]��#��#Z���(d�_�~��/�� ��%�mPp�����g���3�0_
��Nw����c�?-b`����
0�͘�.����O�
�&
��G\$4�RoDzmݞַ9��lS����3e�*�gx<7� i?��I!}W��wx���
z��k*��j�0%�V��:
�X���g [ٱȐ �K�i=�
_�H�eg���֜��4a��q��B�	0�fU �E�����ln3�p���j���S��8
��r�?e���mFe�V�smw�A�v=F�*S�;�����@���Z��;�T?��RBV�8$FM�̊H�� [...]
endstream
+x��WKs�0��Wd�
��V-Y~1�
�����pH��6�Ni����je˶�2

��ޗ��i}2=8>�\�8gi���Q,F��0_�����t7���+X7k�d������H-).Y ��'�a��
x�ēI:>Q
+�
.�|-��P�ҫ4�A:��.e���LD<�ǖ�抰���֥R��jB+e���ƨ+3��Bo�G��/���	:�z�"���C�^7�.,��w�˨Mu��-�\Y�[{[[�L��^��K|W��(o�?ߚ�kUz��)+uq�x��Oʗ�&��E����cA�cWQ��T�"g8aגũpE��,)�h�/�ѫ92Je�۩b� ��ܼ�3�$�ی���\߾�쌢��|�?]�?��2�_��3G���ő���o�7�!"���ʶ�*-r�;(��e
S�|�����u��{	��k� �����D��%+L�����Bms��\ݥ�T���
��0�ݙ�k�r��S��.)twt�JwF�I�Ug�"��CD$MS�KZ9�s���*���c1
��vlEy����L{-M�)]�ɹ����]K�Î
�B��s��֍��'a��֤NH�P�C�Ż��%<3
O��M���
+�Ȗ�k��k�}G�ٳ@�����Gq��T*�vONFݾ�U߃߷V
�i�;�o-�έ n���1�y3}�n	�
+r�ʙ��8��J6�2��E��|��B�:�/���t�:��0ai����G7���b� s��A���sW�KG�3��2~d��>�v����w��[s��D-�L�+ExF�B�
i���灮1}V�}S0A�'Ax_��P��‡���<��!�h����3�S�3��16�	(��m�R#%�_���δ�Js��o�} k	,�ɬ���9ƫy�h�u�ʃq|Q���~�;����U�iY
�`�UE�uPn��}=�� �d����",ILw��G�
��}cz���& ә�=
���p\#z��?�C+�	��C��6}r61ф ��Z�Y����:,���	j����q
+�([�����?I{�B�9��N�V%��
D�sR���7��:���.k��$���������.0����ɾ���#�A3ks5�����?4J��N�i��(���p�h, ��N�?�h�endstream
 endobj
-3132 0 obj <<
+3421 0 obj <<
 /Type /Page
-/Contents 3133 0 R
-/Resources 3131 0 R
+/Contents 3422 0 R
+/Resources 3420 0 R
 /MediaBox [0 0 612 792]
-/Parent 3104 0 R
+/Parent 3427 0 R
 >> endobj
-3134 0 obj <<
-/D [3132 0 R /XYZ 72 720 null]
+3423 0 obj <<
+/D [3421 0 R /XYZ 72 720 null]
 >> endobj
-3135 0 obj <<
-/D [3132 0 R /XYZ 72 697.999 null]
+3424 0 obj <<
+/D [3421 0 R /XYZ 72 698.015 null]
 >> endobj
-3136 0 obj <<
-/D [3132 0 R /XYZ 72 702.981 null]
+3425 0 obj <<
+/D [3421 0 R /XYZ 72 702.996 null]
 >> endobj
-3137 0 obj <<
-/D [3132 0 R /XYZ 72 322.076 null]
+3426 0 obj <<
+/D [3421 0 R /XYZ 72 314.118 null]
 >> endobj
-3131 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+3420 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3140 0 obj <<
-/Length 2402      
+3430 0 obj <<
+/Length 2409      
 /Filter /FlateDecode
 >>
 stream
-x��ZIs�6��W�0���`_&ɥ�&S������2�@Kt[��Hr����{ )�2�xiWr�@��ۿ������d�H�]ތ�
9��x��:��jR(1�U��o�?���=Z>*�d�鿪mCz4 �ʁ�H���
9
�L5�L))�8W
���Y.F�c2�H6ϜFH�@%�l#����n\M
--�x{�L
-1�K��YUO0ئw�'F�ˉ�������_n�S"�M��M��W ٦�
������[�_�<�\oh�Z�H?�flR8���Ͷ*g�@���ˤ=���7��&
K�2�E�I�2��Q�Uh��t�I�=6~�M%�ZuŅ��Y�&�l��f�X���/����3g�1��B��Ҿ�� �r����h����f$53<D*OTd��3���������G��y�_%���gY�<i�����w~�;�J4��&�w[���
RdրsC�
��
-.�
���s�ae��^��c
 mU�	�Y�pw;��'d � ���D^S�J
��&������b�@�N1�����\��	Q�'D�!��&
�l�U�nbi��Eo�"�����v���8mUJq��1�d�d�u�J�pu_Ϻg�&z���S�c^�7��Y�����oZ՛պ������%�`aҟ/`�
��ݵ�X!/Კ w�
�P�=%^ʹ�{�7c0
-�)�H�R�}��X��Y������|aX*�[ʓWR��򎷦y�8�� qs��ٮ&�����f
��
hf���?uUo���(
>��#᳤�:��kz�����I�"K� �{$U
Ks�2�VV�A�R<?�m#�Vk
wY.���<�}��D�=��:ZX=���,(w����\tD�V$k��G,�����6����'I�
��ܵ���s�l���BHE�i��)���K�h;��J�❲q?�f=N�>3Š�J��s_Q�,�'��eY����
s�M��Q�Q��}�zZ�<d�kdn����.B�Ia
�1�PFHm1�{�������hH)*��4�0�S1J	l��"����U�y�Q�>�l��"[�
�eMebZ�kZyX\W�4{C'��j_VH�uN�A�tk�HN>���>���u�t�}��}�>)Ĕ�Aq�9
��n0]%�-�t
��i��&��Ƀ���W�y�
�����r[%��[�c��d�@i���f���@џ��p�z���Ԇp�ʥC>2kV�l-Q�N]����B���!���qX�0F��
>���B����p���2Mǀx�Y;w,Ev:$����Ml_�@ n����h�_5����,
[q:B�w�ޖ��b�s��@}��C
;=I��6�r��HCE
(Ä�ͩ=m��G6�����
-�[���֛��rY���F��޴����A n9�d������
���H���he����ˋ�/~���f|�������9�9����4������V*ڥ��Z况<�6@�B`c
�q�`g��p\����*�7��ų�q��3�3��f9�
s��f�,���8��@�x�F:��(" �Q��="�n��
}�"�{(B���e0
R�C�[ӳ�)��UY�&1=�3|�<��L�@U��>e
s+�a���D����@�`
�ɴQ��#��A�D:}p�E=dmZ
3����
*�ř�[W��f��D�� ����
(�*�x�p ���o���&I�
�)�7}i���*������z�,���ŽT`�KK
H��������s2Տ�D�vy�D
-ECh5�@�[
hZ�{,��wJ�$ж���Deo_�e�I��ʹ\4���k�|Y�wVM;�w��x���<h�6
T�f��u
�
��v�j4���d��30�>�1O2�N0BS��c�r��_V�
G��vw�!��U4��-��zVuW�]
є�]�>�t��8�_2�_��UR�<���3;'��Î$YF��fJA�kp|n����>��8S�Q�adq��E�Ts��󳲍�7�sa�z����2k�is��C��
�7"�����31�]]C�qn]}��b���������<o؂_N��NԳ�y�i�X�:�PUM���]h�D���77�#a|��ž[�+x&�i��S�d	���W��8 5�F�p�
����������3��
D���ͼ�C�E���>ञJvI�N���$�ԨT��٬U�Kxsx�D�-�~@	�Ԇ����L�����.,�<R�LH��MH�YLHP?ɩ�1��bGL�"�Hu�=�[���Q<R
�F����f at T�'�?{Ft��Kwx�]D�׀��ē�����:j\
Z���r�ˌ+�U��gxV`P�gǧ�"�܋O�M�I��L��>#p�7�-Ԭ
5���V��!�
-I7���
 -�X�M��8�׮��w}�endstream
+x��ZI����W�!p�k_l�" d$��%�|q8����񐲤����jɦ����c����^������
c�)�\�6�7�ZB%�n~��s�h�߬
�^����e��i9'L�@����v�L�
4TP{��D�C��
N6�a�JE"�=Qˉ��i
�N��
+C�c��x
������j�Jf�;0x癌�7��)<�<\?.�'
�/��_��3>�����<
�|�Kϖ
n�:n�p�����|v��M��+������H�I�oW����Y����k����fu���?�l���:�H�&�i�qZeз&�A�
���n��D3:�GE�=��:��:��
eG/D
$���&)�!h"|�O�����"��0��V at .�^"��i�_�v�t4�U�%Q4z��T>"%F�p��
gD�p��;|��0L	��M
y8H�c����m�/h�tq�����)B��L���2	�b���fLE@��2;IBV��d��
$L��� ]H-r!xe=ؔaC����V��Rj�A#�@�r�{	UU�L*媶ALO��}�aZ#��|3"�T��G�(.����E�F���X�]nPR��GG��C�
I���$\��c��*wz�s����K��
�v�L���L����)���Vٯ�*�JR��!��	:w/�9��^�L�/~�n�žJ�02T�(i%7�7{���8�6Q�l�u�>A٧l�N|�m$Pb�"ؽe��O�J"��0�QCq��7�.TQj�"q
&����0p8Y�ַ3���n?&

,��y"��6
E�˻���~	�����Y?����qW�
�w
���.i?Z�1����s
�C�\��*3{���pSAKErd��̎��6ם��Y`�P��7TQZ���a�/�_�z���/�^;l;�
����@�mY�k�-��T̉�*�������$����T�U�R���+լ�t/:�{�x�8%:�DzL�z42t��F�Hm.
��������XԄ3��X�
+
$G�����~$��O����J��#F
�\�f��*XAc��
++���<�ثX��(��3Th�cZ�]Nk��R�l����
��;H�����CJt��8�����qC��v�b�꧟���7a��8د��5���N�c �uT�O��QH=
+�	F�H�(��&A����ab9�D,����
��
�%1A�T�/�JV��6���~xw�[Ŕ���y
+�m%�DZ�W��t����T8�j=_���*I�����y��
x�%ٰՊX�)#h"k�EL
�ws�Øc�XNP���}e�cp����
��
+�i
�V�a�X�@!���U�K��'�j���lrd��m������@�[�
&��s
zܡ�b�Y	7�"�������k��J+Kt]��k�M��qhYBĭ�~�
�_1�%L?.���*�͂<:���c���g��yi��5�H�b�t�\�~���+mnf��iF�9���s
+'w�z�O���a�����Jm�T���ʏ�K�hK�h�t�N��
�$5�i�<���F��%!���RԊ��Z����E
�
[U�k���5��*�-�E��0�`tQ�0N¿��xf�4
ӗƣ�/�Ak+�=Gw�UO�E����Rz�u���qX�'��z���������!��
�T��>�x���
��+���
V���XyJ��R$6U��V�h&��Dy}4-{�O��S8,@
 8�j[��u��N��|ѵ��^��
w�{�Q��� �,�
����}��v��D)�uY����,�w�8_X��١�Z�
Kx(�Y���Kp�n635I^��
s����wI�i��SPUx�u6L�.����
�=����q
���,�����W�g�j�tG8	q�42h���f;-Do�gGsB�@iwa(�&@iW�����C���Z/0���s<n=j͞����<�n|�
@>��+!�NC���`9jN
�iw
M��}����v�
��ze��t����]\h9S�
+2���D��C����y�z4��}��[��/a+��T�^3t/�}a���/dڗϷ�����:G�f5"<^�˶{���fmx��Y�εѽ���;�^���¤�/�e�kHÔ
���1E�r��7R�=�fk�
�
������@���@�`�Q�V������
ºb�vx�ڏ��+�&��1��8$���Hw�KC$;���Zm�X ���~ވ�ʡ�
���608RY���(g�
��M�G��
�~��/.��h��".�-vą�
�y����?:�R�4���4	]�m���S��D���
�Gg AW�؍��]�ϖ��Q�B]D� �	
+}�sŵ�l��sQ��K��ص,ጏ��q�:+?}-׺P�������2{!�;�[.��"�� �2�p�ѳ��Gu������endstream
 endobj
-3139 0 obj <<
+3429 0 obj <<
 /Type /Page
-/Contents 3140 0 R
-/Resources 3138 0 R
+/Contents 3430 0 R
+/Resources 3428 0 R
 /MediaBox [0 0 612 792]
-/Parent 3144 0 R
+/Parent 3427 0 R
 >> endobj
-3141 0 obj <<
-/D [3139 0 R /XYZ 72 720 null]
+3431 0 obj <<
+/D [3429 0 R /XYZ 72 720 null]
 >> endobj
-3142 0 obj <<
-/D [3139 0 R /XYZ 72 700.324 null]
+3432 0 obj <<
+/D [3429 0 R /XYZ 72 700.334 null]
 >> endobj
-3143 0 obj <<
-/D [3139 0 R /XYZ 72 258.847 null]
+3433 0 obj <<
+/D [3429 0 R /XYZ 72 258.863 null]
 >> endobj
-3138 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F29 672 0 R /F54 1447 0 R /F51 1171 0 R /F35 1440 0 R /F48 554 0 R /F32 668 0 R /F78 924 0 R /F76 747 0 R /F70 642 0 R /F79 926 0 R >>
+3428 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F38 1435 0 R /F69 550 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3147 0 obj <<
-/Length 2904      
+3436 0 obj <<
+/Length 2820      
 /Filter /FlateDecode
 >>
 stream
-x��ZKs���W�R9P�O�ݹle�*{��ᤒ��A�(�=�"5cO���ӍH��l��uR���l ���}{y��{�O�`�1���Dp�dn&��k�Z~�>�T�j:S"�~���
�~�����JF_�奝p�ɏ�
�pWLIёAL���S��t
�8l����y[�J�U�7���z3_�pYm��E�{�0�j:�H�
|B��nK�s�^���������۠�gȁ�?fZ��R���np������g�t2SR��4�i�;~W����R#��	g�襢t����
[�6<4-�j�_җ�h3�~Y7�:xFl:Ӧ�.o�퀑�*\��n�3T䢭�D�ij�����w.>8�
u]%dR0�KG�]B�%�͏�5`�ڒ���	m�2��O��cU�%
&����-H�]��b��?$O#
-���=)XY��(�)U
�S%�
��b:��	�rQ��D�m��a\Y�$+`Q$Ig)p�Ѽ�����;
�R0e�h��II^�/��'l�
)PE[�ܮ(�cA�)�H0�,�s<ޟ(��U�AyB��u��
xP/�P��
�ѯ�w{�����>���ۿ�ϋ�z���8��i�����_�M��)gK�P�[i�!(,��Lg�H���1
��ʂ��Glu|��B�;سNٛ�C��J�g*΋��m�)��6q|
-K&��L�E=,�1���,㪤L����b)G;�8����9���t�jg������gMmSI��^ �u�?I����C��)l���KA.!�ׇ��mI�(xPҥ��!�@g�7- M�a� ��.����
->HC�]��s�IF�x��u�G�D��j��o���`��d�|�]�� ��r�Tʝ`z��[�5�]
�&��[����
�o�
$/��,l:/��J��a���A�x(���d�
�/7�
�J��$/���$ ��Q�HD>?>
K�M���%��>��~��Y�l��.���~�%0wۙ�^�w���
�X�W"��
KT������ڿ��nݧ!���v_����j����!�N��*,���K��
O�2<��T-.1VD=J3a��DP),pJd�q2٢tZ��k����
$8�=c#�
J��.���@��#@pǗrbg
������dy�'�_p��H>�3gR��ͅ�
�i�����;V��k1��~�ĕ����V�@z u
�� ��)�m}�,:(а ��z�
,/f!ʐ�v�g&���Y�(M�)5��#�X��t�6
-����Ln�5)�)���\Lz�w)\
�'04�^v��<�0D�E)c ��UC+� �X.�~N���1T���O��lБ��1��B��X�X=?���p| ��T&K�ca
3V)�6�����'���(
(l>�h0��K��ͮ�-�����}�w=�:H܅WT���H~��������5��
�A5�7��	M����[���� �4�+�Ko�nu�2p��+ա�~��5x��
���;�EW�
Q��i}��d
�0�F׈����{p����:-u���U��V�%�bE��p
�CK\�pE��|�������,e]_�p��l0�p���#�y�z�mh�и�V�5}WoW��R
s�o�~%������wO����3��r�y?��5�y����u����+������S���m"�@!��
�-��œJp�ә&�Ƶp�Qg_*u��Z�=����ݽ��<Ʋ��
2xG�B��+d�:d�4�G�_�!�%���y��ǻ�ͶԿ1�AM�G-$�`�mEr]�	�tޮ����9y;�q�r
�>�t�	��܂#�
 ]�!O�6W�
"�1s
�V�[���I
E�%HfL�H֛ p��0r��iFҠ Rjf����މ�3ڴ*��
W���7�lF��i���՞������t=7߹�}�
k�*1��$�V�
8
h	��mS�^��v,\X��*U�R� ~�)������x�
RC��g�
ED		� >�ź�%�
�a�ҫ�ٸ
�=�w+��Fb��ͼ�"�˛ �G��Iڸa�
WA�R"�;�p 2��hAF2H{��f?��!&�]T�*ܢM8��CC�H�E9�u��d������O~�5
-�*/G*
�ɼ��v>_�;i�
(|ih]7�K�����;�=,�)[���������D�a�~��,V���ކ�}q \ßk*'u�s�!��F�+,p=��0c�&D3�J�  ��)#8�����S���
���|ѾM��(5������W�D�Ya��o�j�.�a$�"}n��D����
�� �3���&u6�,�K�7����&`���܇9�v���(��i�����q;�!���[�h�r���t,1""
>[P%c�����h�&D[�T�H�G
-&�
ؙ�ʡ(�@AlW!Y�C�w�O>�G|8
-
2�H
�Gy��g
�A��D��Z�fHT �Vv��ǔ�5�YO�
��*Xp�[��Xڰ>�K� ]K�J� 	
�:�Y:���Z�~����6����0��n�u\0����`�/��޺T�? �.��͙��T���
t�ܞƞ��y�LS�
-=$� �Q����&��
.P �5��A[ظ��d�
-�޵;�9������'}�p�OԞr�<�曬�����
�!�8�˵^�/א�qu�	_a�K��Ğ�)��$*l3���I;��:"�B��-��NX���ڮAAoܝ�g.�9�{�Ά}?)�m�ǴoL��)fL��5�9�����t�%֘#U�Z�Bht��)�D�� f~���B� �y���(��� N	]=d!e�
-Q<
}_�+�����'L���K-����Ժ���� N}�
-�ȧ�:t�x_�
�\���W�
F4��zoG
d*�MD��Ӏ�L
-��)���Y��H�Tendstream
+x���r#��ί`�| +CxX{l]\�T�'q�T��9P���e,J�8U������Fs�U*��������t��+h�B�F���z*�``��rǸ�W�g���luO�
)��.�������_��:[�
���r��
�"�)��L�h�h�^!�Mx|��w�v����?⟛9�=\�g��KK?��*�s����_&^�������q��0�&�4r�`��
�e
��g��<�
s�jO$M�І5�CWiǴ��n�
+��k>�C
�o�� �=]Ŕ2~��H���ݒM�1�J�����
���
+�qd�
+����ُ�F@�cE\<1
��U<�c&)w4�/�q��w� 
e�J�c�	��/��V�������q� y����֫���LLڠ_�U�0i�P\`D\�Q'�
+�O���,}�J��đd�I9;�A�L�4�O��+>
�DzƦ�H��H��CV��6K��"���� fD�R�a�i��4��!3��Mi��j�%�휣�x;]�Ǵ��2�
���(���,<���c��P���ڊ@��8�`U"� 3����	˔�9�0�u��\�y��P��|���yԳ����w�D��m�z��VًOA� �Z�X;��n�#�M���O�- ���Ba0�ૅ�^Di�Ipc���e5w����\V��j�&�2����p�v�y�#����"NOi��v�)���$�����lY�)w��Y�B�
���p��t��/��>��2�N���ZCSJb�R���
��gW�
�����}�:�P����@=N F(`y��i�D0��
+�x�(�n3

�!%�	N� ɜ Sd�hZ[��s��O�ڜ�L�8&a���p�uH|�s�6AH]R:21?��x�r��&O�p����
��q��mJ(��H�۔A�Bڃ�s�Hh^����
�$W;����=�۲�<h�TQK
+��0_#"_�
+�+";�����)r��5�𲪖�ղ�[-�@�J��]V��d���sS�c���8i� (�/pȕ��2�Xf��]v��jn�J�T��	V�WQ�����<��!�	s�UlH����Æ�:ӻ�A���b��X����l9.�̊K��*�Q��oZ�o��l���D�OF�x^����L�o&?O^��Ӌ	�~?�LY7��Ϝ
+�������z�ɟ[P�k���j���:^�#��G奶*���#h�h�C
��5 
+q)����Zͭ��Fj�'�} gL#�H]D�rHy܊��S�
Z�V)�]m����*����#�%FL�'5k(8OP��d���jn
�t2�k�P�_u�4��<����Y<�s|�1��#��-��吀�<o��J�x|�L�׵�L���D�3hPT(�����X��i>%�G����JQ�mV��2���3t-���fߕs��r*^/cDw�<

"���e Qx-����1�C#�y2�
��(| �cZD�+�{t��ע~�����+�(��������]<>tu(,�o���b��$��D�E��V�)�?z^�����Z
���C�z��6e����F�������,/�s�(%�B���Jm��0�s�&�$���;�L�6<m�Y�c��҄u�iӏ����
��i�p80��}&
�׬>���H�����Yþ�W�eD#���E��C�S����zY
Ј1�	
\�/1똲�Bξ�6��K
�:����
f�����&B�h���'��̨�e�1˺|���
~�� _d<Y&��
�1*U44�;ݔ3�d��OBA�kDa�
O�v��W���m!N�[�ڹƁqh
�S
2��A�P���Yv���
����ޜ���ES�
�e��hYR�I�l
�`�PG�����P��H:O��J��ɪ݄�9��gHt�R�uu������b=�d���j������y����uk?�M��xH�G�v�ٕ�s�ߋ���Q�	��S�V�Z�&d�t����2�~/×7�e��:�%�<�L~�Ih,2�
�U7������K�����q����Ӈ��p��zAMa��m��> ���*��SیأtaBS���#7U1o�ӣ�eW��P�u:—�䋷嬻�q?5���}��u����w \��dX���
�W���{�s���M�.
+�]v�6�9Gd@ֈ�>�8	q�s���'*�T!c��!�"���0�[�{W����X�zY�+	�t��B���j��p,������T��8�JG���>��t$��K=q��L��6iIn����p/j���[����ȹ��(o(�Ĉ�
�y�{0LP,�m3�_u����e�n�[��*f#v
W
�؈.��}��|J)�!	��Y�Jj�"+yWK��5-����j��)/��%ˮŀ#�J˶��7*v�GӚ�zG���;E%�ub5󏽥JM;�uC��
�B��/c�k�i��&�SW��l\��6bOS��,��(]ɺɣ�E�>�szֻ�
f�&w��u���^�&���1�=ϽN�͏��+~�u=�i��9����q�7��H'�܂�J���}��'cÁ��_ti�m�;Pi�����뽖y��a�����T����͡ÈϷ�w���{Fc="���*.���{�I<�0
ޜ
 ���6	N캫��
+3[�3$����Jo�R��p������i/���]�����,@������L{�U�H{T�N+.���u���[N����Wd`��#)g���"e�]��W
ۂ�� �m�n���X<An~S���m��ڡ�Bl�v
�p
��n"�v��V�EY��J{d)��x�\P��&����@�L��O��
���`�C�S�0�Ǥ�� p���endstream
 endobj
-3146 0 obj <<
+3435 0 obj <<
 /Type /Page
-/Contents 3147 0 R
-/Resources 3145 0 R
+/Contents 3436 0 R
+/Resources 3434 0 R
 /MediaBox [0 0 612 792]
-/Parent 3144 0 R
+/Parent 3427 0 R
 >> endobj
-3148 0 obj <<
-/D [3146 0 R /XYZ 72 720 null]
+3437 0 obj <<
+/D [3435 0 R /XYZ 72 720 null]
 >> endobj
-3149 0 obj <<
-/D [3146 0 R /XYZ 72 439.222 null]
+3438 0 obj <<
+/D [3435 0 R /XYZ 72 439.295 null]
 >> endobj
-3145 0 obj <<
-/Font << /F26 548 0 R /F32 668 0 R /F29 672 0 R /F54 1447 0 R /F48 554 0 R /F78 924 0 R /F70 642 0 R /F79 926 0 R /F35 1440 0 R /F51 1171 0 R /F52 1472 0 R /F67 564 0 R >>
+3434 0 obj <<
+/Font << /F29 544 0 R /F35 663 0 R /F32 667 0 R /F75 1442 0 R /F69 550 0 R /F149 920 0 R /F126 638 0 R /F38 1435 0 R /F72 1166 0 R /F73 1467 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3152 0 obj <<
-/Length 839       
+3441 0 obj <<
+/Length 878       
 /Filter /FlateDecode
 >>
 stream
-x��U�n�0
}�W�QU����[����`�n��$B
;�E�~�(7�b?�K��"�������$Iɳ8
-V�D��r�T�`�:��
-B�:�4�X2
�e�Ճ��/n��(����"c�k
����2�NX��8f.��v$5f�qMK~��o�Wygk/�׈�t�Ѯ^�xC�9��Χ;�����-��
�ݓ��Rs���h�3�o�QL��l��bm2�Q4q�� G5a3�d197���۪�}��Êl��'��5��6� Pm�`
�”�dڕ�w���mg.].*�jؐ�H]BsD�T�c�	�����A_��%��f�>��O
�B�'I�S���F+�8#�n�;����%�*?��y��H�7ڡ$B6��ΐv�:R֮��L���̘
F�<�1�=�
zmN�/
y)q3<��	�̙���,Gl�j ��
O1���r疱��v]�C;
�yKV��X��ı5�p����_�Dlܓ�@E4�
"��T�z(���4خ4ewֳZG�
C���K��t��=��������i��V���]`���6hm7u_�g�tt�ǐ�������5�ZC%��n#�Jt�
�XT�E��᭳�z�PRM^?��蘎,1|�dz��LJO�
Y^����(f�}��qEL]�[��T�x��{n�y�Ƕ#�@��� �!��	�#�3��Aqx6I$_
�/z�+}�
�M�$��ku�w���j��۷���{��׎��������
�ݍ����f�5�>������2��'/
��P�|��챣�~̉�D��1w�s�r������
��Ү}�a�EKs�Q�!�O������7�+
-�endstream
+x��VKo�0
��W� �j��ޚt
�.m��:(��@Ҹ������&
��� ["E��ď�prrv�T�SJ�a؛�{���^"���f?Ĩ�DaǶ�+Q�I����fyY�M>�]����
��*�����u"��W`m���c��L� U
�D�v�/�=L*�*Z���Jd5�u�����V��a㜦`���
��#g��u,�$��Sv�
>�qSJ��̅��T\ڹ$��
�|n<�K2"��pn3k�Cq�?6�Q0���lE�FEê� C
��C�^�s�;���
�
��C�d��27
ي3��1
�J
���m.^��
I}�؂%�8|@�I
��2<%�k����zV���x�vX�B#�Q�N�j/��V}��n��z�d�s����@
+��$�Ҭ����� ������@%�����B��I�-
O����"?B�ԗ��8HɞO�~�H���p%�D���`��IQ�r�
n�2ud\0�`W���*�殐�^q
+D�)�v8��[;�� .H�2�ڑI'^�vP��Mw��{
� F���UK���0ǬN��F��ڸ"��
p�{�����
"�ȯ�@�	H���GP��jɚ
�O�")h7kë�P�
+�M�|��>ͼ	W7
�!&�����]8�������LB��
�Y�cf��A,nw�î��ٚ�s���%���N��޺��f+��U�B�`^��$�4�#l�%q���@���/�nZg[
��L{e���7İq���%��[����{��w
w������헳t��6�<�C�9����~��K��|SG�RL"D�y�WLk���
��	�J��s��<A��f�s�i}�]G_����e�-��4��)�s�������Qiendstream
 endobj
-3151 0 obj <<
+3440 0 obj <<
 /Type /Page
-/Contents 3152 0 R
-/Resources 3150 0 R
+/Contents 3441 0 R
+/Resources 3439 0 R
 /MediaBox [0 0 612 792]
-/Parent 3144 0 R
+/Parent 3427 0 R
 >> endobj
-3153 0 obj <<
-/D [3151 0 R /XYZ 72 720 null]
+3442 0 obj <<
+/D [3440 0 R /XYZ 72 720 null]
 >> endobj
-3154 0 obj <<
-/D [3151 0 R /XYZ 72 700.324 null]
+3443 0 obj <<
+/D [3440 0 R /XYZ 72 700.334 null]
 >> endobj
-3150 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
+3439 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3157 0 obj <<
-/Length 2415      
+3446 0 obj <<
+/Length 2405      
 /Filter /FlateDecode
 >>
 stream
-xڥ˒���`���
c��$U�lU���ZGQ�>��p�$6 ����oO� ��Jr.KLO��c���}�͛�.�UF'���š�
3ư*�h�ԁ��O�����o��p��F*��"$�X��
뚑�nN�
-��W�U���e
n���pn�WI�?�`��:�k����A wl
X��d�;<�VH��+�U�3"|�\E�I
JwX¢��� /E�B�z)H
Kb҅�K�d%r�L�LƊz�k�+c���cQ�N>�/3���C@��H*	�{>Y:ٯ�7|\&IP�G�	�
|\"ATxˀ���UD#	�&#���W��uM�
H��B��p�ұ��Dl֝k�Qy���ؘ�95�EY� ���3��u5R8�(���Iwb���	�U��?��_�$윜�6�6��Z@�
(�_�	��6O�GA���Ms��b�
@v�'RTy�0(%o ��D}`{!0�

�O����j�����i]�	��7�M�/�;K�����x��O�)��q��
�~�&EO��b!���D
~�]�;���n�N�'�j�����B�����w��E �i
Slc���/�:>)��cϫ?�b��	�
-D�����
Qqe�ᆏ���S�1� �G��#���T�8f�K�<8@��3%=T�
��?�(+	L,<պHy�&e�R�'�	-D��^��Wv�]Y�EK�Eՠ4�r:���E��W�*���8�Q�߶��#�!-Z���\�d��_t�K25�sX��W�׌�

zgWq&��X\e*
R�g���V����
{�9l�T�l�3���rx�L�1h<�bǹ���c���I��jO�T�� ���
���1
���Y��
� �0�^7��
z�ӄ�3+���0
�`��
��SX� ����O���a�H��@��� SI�}��@]�` L�#
I�~b���!�he�������9��v%��]��4��=2B�V�����R
-�U�<�*! �f1��D�y
.�2p�7;Kdh�u�u=nLR�i1[e�'�W��ڡ�
ފ�,�9K��,ٳ7�
�.g�7!4��of�#�?~慣,_Lp:�Y_W��}��i	CA񺣷>��Ό���J���e6ɢ	�N�(����a��5I����(?s��[BM��u
-���%�6�?��iG���
�!g������Ss�$�����l42��
!ނ���k VVNx���
C������0nq\��}��l��S�)xӅA(Z�2G������w����
e�F-� TA(���Ĩ$�_�kk�r�(��cT6��F7l
-˺���BQW����E���p�\v

_
���L����y��\f�䍞
f�D��
��W�JD!����Ɲ�<�Qy��=��UJW,XA��4�zW~+��J��nD�mD�˶8�}w^
-k���\��٭�|���p�^3�^�wt��X0�ź'΂�,+�I	��طP ����y�]*"(]��L�-<X�����Xߡ�_���T�ƛ	Q���p��6�-��A"`�
R�W�m�
-���{Xr��N2
c"���,�aC=���W�Y�s�L��ca���pN)`���m�ۂ��QF��P���م�=�9>�S*i���7������H@ٗ�5Xd���v�B�p�En��~���Oñ�yzX����"@�����w�)o �mC���8{a�pm;T��\؆�[�z!Ԟ
!0�G!�4��P
�'�v x��8(��ߏ�V���<�CK�p_���]ջKt�C�GBa��<�
�0�r\W��Vy��j�
N
-�9�G*L��4��<�{��\�>�b��*�h��b����4N�\iڌ^7V�H�M&i4�����
yѹ���.�g~���3J�#�%��A�4rl��
�
-�p���ٍبe�Y���
����QS�����)�ROh�1�ű
�LN�J�4�܇_�bi���(
��
-����� ������_�
܂��8��e �a��[1�&��Ŧw�S�

J��}���.���!���`
.�ь��v�x�ɩ��}çGƑ��I�
�N~���5ϙ�̓��bD'�l��� ꄳ���O
��oL����a�w�ҏ�hHu9��Ӭ�+�|5PEű�����l�t���,FKY��
��KZ�MA�p,�J
N�ѣ��JpC1��܍��$��Z"�&]
-~_:���
��d*����@��o�{�N�q�\��/5�$���5Ǻ
Ud��XO;q�)6����+TV��LF�!���#��
th�fK���:��3���+�K�p(��ǹ�g�J�/N;V�����({f���d��
�+�
-�
�y�|m��)s"���
W�e���R� y��3�n��
�⡨t"�oM�>
�ũ��$4�-)�y<C�k5M�����d�/��}�?Eݺendstream
+xڭ�r��`��BLv^;�N��D�*J�d1Q\q��P$�M����{^�@Q>,�;�~wOw�r���o�4g�	%����̩3�t�1���L��L�#������o�G�ٞV
�����x�U<[x>�sϕhg����7�w~5_t����{=��{ڸ�FϾ>��
B���(n๦���O5��
/����fX =g
�`��Wv����B���p=׸{����s�펡���+�dz��3	P��l�BY�V����__z"`ȓ2 �u��K/5��~�I�L��Ę��[;��q�7�M׏sk=#W�
+x���i�:��d�=�[��$���hA\H�1�0͟눢�5TVs��F�zi�0�q�
a�
��|a��]0۪��E���2T}C�^1i�,)ի\��9��m��u&�$���I�~�M�C����g�!��5��-#��G
<�Q+�k
��O�*9[T9�{"}C��(�
S�
��<�SP&rr����_��bFT �m�/m>+ a�v1��7}��V^Q��^��
�z1OW8��a
��rҟ*|��K �,;'��jG��Xx��t�X�[�� �p�
+`�RH�=�wO�FM��.St�7)���?A������zG��&W
�3R��,
M�]�?���I���u4C���~��<�4�Ү��uD퇿�������E�y��LeY ��5('+��}Ų�
OJkd�v

X$�b>�j|�`&G�s���39��l� ���
�����1�a
G���m������I
��8z��S�
��@�郏�
+��
��T�!�;a@<��|����c�s�'�dS�ދ�	�����0���u+��ZH'
�{]�(�t1�ӝ�At�a �t<5`������#�*GXzdq]��;��p��M;{3�T����#�j���L�ɼ�B
f��j[!�֥y:)�$��1�VM~�+��N�g�}�Hz%L��^��e8O� �{�N
�0�����A�aq���5�nS�����#R(�����y�1��cS	c�wB"�P���rok��(�0&O=pKF�Q!-�����iź"Ea�i��W16��#�Y#Q�i��l_3=w���S��
��>�
n��L�U�m�U_�U
�SZ�5JRO�
�cR���o[]��q��Eۓ}������5c�G>��
��AS�Y��
6���AZe^(�C�{��c�쿔���	���gʣ�触�v�t�Y
+�P8E�U��w����
��B P��s��P��q���*�Xe��`pM�
+���֚�z�J��{��t�6WF*�h�����p>0
oc�֟)x�Z�^�u�e��'#T�SZ�:�,ma�����"�Ä�}�ҝp��v�醃k�j84� �e.
I��]�q�j��)G�1�H�h^�pa�5���,�|$�ig�B�g�RPL�Bn�Y�c�U�"�'�;��s��g�Nroq�������js)�t���Ō֒��l��QY8��y�
��U��:�����u�U�y-ǔL�
�͑2�@�lZ0��
T�ϻܘ��H�J*;
Y�=-�ԓ��Y���H�� ���C�ω�Ѣ���v��wr�U�w�Xe�B��z�?(�T��܄���Ɣ�֭��>u_��G
�
�SA��Bu!�|��
�߹U�m
5�ʦ�^w)֕�U#dV^ ������ )���_�� pڗ��K��<b`A�i`G,
�2����nZY)gɽ"2/
I���⩫��s�b��Ø�e��
+�-��Z��_����|Gpx	�V���wNZt� �/3�c�M:�\ ~ �6?Q�=���q�꿽>Y��d��i�IXip�I�����Z����]��d�;CY@�[ݭ�vGF�8:�x��tE����
�lm0�D��q�c
��'o\jx]S�'Mh����̏�C��d��`�*}��O� Z��6/�x��ap��t�c/&(
�Z}(�
A'�G /��du��4Q¡��߆��H3, |
bc�޸t���F�%
�1s�@�
+'u��%

J�&Χ�=@�.|�i�d��[VT)�˒�Mܙ�7��Rǚ)�ʈ*���
�T:NT/t��uݟ�f��^3��l��OǍ�CδO&:�Mـ'������n�.��.6��4�)\�������.���O�q��{�kz����x��x�%��֦���lӏ��:PA��ډ0r�����*owwEw.�){-��
�R`_-B������L+&]�ªR+D�**o]6t+7�x�M���U�c������wAқ_vVwZ�N�%��Z� E+�KR��̺�u�*�vF���;�7Wn4T��mLY^���FewY'�ɛ

+FN��|�� X�2w��W�|mӝz�?l��U��4W�"Aѷ��o�`t�BBb�u��;���x�
�
8�endstream
 endobj
-3156 0 obj <<
+3445 0 obj <<
 /Type /Page
-/Contents 3157 0 R
-/Resources 3155 0 R
+/Contents 3446 0 R
+/Resources 3444 0 R
 /MediaBox [0 0 612 792]
-/Parent 3144 0 R
-/Annots [ 3159 0 R 3162 0 R 3163 0 R 3164 0 R 3165 0 R ]
+/Parent 3427 0 R
+/Annots [ 3448 0 R 3451 0 R 3452 0 R 3453 0 R 3454 0 R ]
 >> endobj
-3159 0 obj <<
+3448 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [468.463 641.411 491.267 655.359]
+/Rect [468.498 641.427 491.268 655.261]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.7) >>
 >> endobj
-3162 0 obj <<
+3451 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [247.388 324.018 281.243 337.966]
+/Rect [247.386 324.098 281.203 337.932]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-3163 0 obj <<
+3452 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [287.757 324.018 313.161 337.966]
+/Rect [287.748 324.098 313.125 337.932]
 /Subtype /Link
 /A << /S /GoTo /D (cite.Huber81) >>
 >> endobj
-3164 0 obj <<
+3453 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [342.489 324.018 376.019 337.966]
+/Rect [342.495 324.098 375.99 337.932]
 /Subtype /Link
 /A << /S /GoTo /D (cite.White80) >>
 >> endobj
-3165 0 obj <<
+3454 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 0]
-/Rect [382.533 324.018 407.937 337.966]
+/Rect [382.535 324.098 407.912 337.932]
 /Subtype /Link
 /A << /S /GoTo /D (cite.White80) >>
 >> endobj
-3158 0 obj <<
-/D [3156 0 R /XYZ 72 720 null]
+3447 0 obj <<
+/D [3445 0 R /XYZ 72 720 null]
 >> endobj
-466 0 obj <<
-/D [3156 0 R /XYZ 72 720 null]
+462 0 obj <<
+/D [3445 0 R /XYZ 72 720 null]
 >> endobj
-3160 0 obj <<
-/D [3156 0 R /XYZ 72 575.284 null]
+3449 0 obj <<
+/D [3445 0 R /XYZ 72 575.337 null]
 >> endobj
-3161 0 obj <<
-/D [3156 0 R /XYZ 72 393.425 null]
+3450 0 obj <<
+/D [3445 0 R /XYZ 72 393.509 null]
 >> endobj
-3155 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F76 747 0 R /F78 924 0 R >>
+3444 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F142 743 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3168 0 obj <<
-/Length 2566      
+3458 0 obj <<
+/Length 708       
+/Filter /FlateDecode
+>>
+stream
+xڽVM��0��+Ъ��]��Ǥj+���ע�R����
+�-f������x���V�zI&3o�o��|�n�K������/y_F�0J���
,�����i	?������=Ϝ��?�<dBb����\��k�|0��@�
a�5
T�
ײ�j!^��,���I�D#L�n0<nE>D"�X�H&�gA.
���+;�:�&3�(�r2Qٍխ|H�)�/Z�o���gL��7�8�=Jg=�z��(h׮6�y�a�� �d.�1
.n	B�?�6u���ks[S6M��l��E�
4�5�+��鋮�;�-�B  S�ǀ�$E��5�,k��E�gR��
�׬�3��T��1��j�ϗ�C9�Z%�\��n�t�´zJ�e̎����J�����(AiBT�>��M��TϽ���yf<��a��>��W�#�d@���L��
+��*��ߐ�;H;�HY}l�z5;����>y�~5೨=[�
�8���
N�w|�ҩ����D�����mLє������X��
�76�F]sg������1
Uchh��~��)���3���^��g��,�������8����'�~E�<��Q(���Z(���C�R��SA��)�1*�~�B��2�
+���
+Ol�0�I(��O���A���r8RC{>
G}����E{,u.�8�/<*T�Q�}rj�^�h�"�1�,
I�1�Eȴ�n��
=bGendstream
+endobj
+3457 0 obj <<
+/Type /Page
+/Contents 3458 0 R
+/Resources 3456 0 R
+/MediaBox [0 0 612 792]
+/Parent 3427 0 R
+>> endobj
+3459 0 obj <<
+/D [3457 0 R /XYZ 72 720 null]
+>> endobj
+3460 0 obj <<
+/D [3457 0 R /XYZ 72 698.015 null]
+>> endobj
+3456 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F167 1942 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
+>> endobj
+3463 0 obj <<
+/Length 1710      
 /Filter /FlateDecode
 >>
-stream
-xڽYYo��~��y��ao�M&� Y`��&@`#v���(�Q��=~�oOU)�lMf���Y�����j~w{����,#�R������f럓�E��[��\�z���s=����s��}$�󒛤X�p�L�I�-q`�������Oׅ%���k�_A����e��z �_��0X5���5�i����1�>t}U}9�N'u�LQ�rw�D/7
z7�LR
���F��T�f�A��gk;��T����c�BM��a<�c��=���V��[��{��hܮ��<�Y�>nv���y�-p��%�}c_ ��J�2�H�$Rj��7���7=����ӑ��|��'����A��],�2Bf�/�I���k��������\!7%�W0�Ń�]ѕ�j�g�K%�a78��2n�T�ۣw�޼�1D-�����wD��譺�7m�/y�|rq���~}Dg���v_��#R��]L�s�ٞ<=	��0^5()�:��J����p�k
���؄� 4��iZ7���^|F�횧� [...]
�͠O�������>�J���4��A�ۘ�P��*a�b�MU�ц�=nު�󃅤r՗k�^U;C�9�Z#�ڔ	M�P�	2�Xy�|J‰��S�.�C��f
�vjEc��z7YW06�c�_9-�Y-�&��jZl֗h
Q8P�P��xs.`�Vu��'��y���3A8m�Q��Ǝh�!�l_��v��&����kToȳz��y���_��u�*~�s�h�
EʼC���\�|����$Bd�eTx"6��h��!<���:�z�
�N�;wږ��̡!��}����g��M@���qx��bٺ�z���rA8�D��(H���$�԰<��V��ʱo+�����SW�[[���u�٧�w�x׎�X���m���i�Y�4wݨ��a ��
-������
'�h+H����Ӊ/�j�'&w�n1�!JBL�4�
-P���p���n�v�On�|6��#��^�
��k�Z�c=�#�����$��(��i��OՋG���D=��C�����r�\&� 
-�f겢�� a��c��DB �w��v4��f�M�K ����+xL.�zpg�%�� {���ML(J����G��N8���r������#gg�#5B �
���3A�O���n���V|���D���� �&��Z�R�� ��3�p����z�3S�鞤뛥��j[@g
-
�D���~��r�G��`�,��
-6���j+��k�~g�r
S�ܐ����@?�-	>k6�$~(Z۱8-I
8-
1I	Xa�B�	��k�
-2�_�Q|�
�f��>�W&�Xf6�	�Q�
�t�3ȹ���N�
Q׏m�ݮ���d
c5�
-ϡq��}�4 ��3���Ӷ鼆>_u��t��a��}/'1f��$ɳy����o��
��A@�
�S�
!�h�� �c�Mc�'J
Wr���0@�
���)��峜��X�w�`�o�8 Z�Q^�"�1Ý ��C�v4�h�x����f,\O�M��QaA��	�B2u,�>�^����, �,�s���Q�U}����_�b}E?^Q[�=���\_�twus���W��n����\��%,e\�e>�"�ɏ]�!,�gm
-O�7�VoŊ|%�H�����L�((������mTb���"�
�A���?
�O��H�������)'�1���(���Lg�A�9G�`��
y� �5�a��~
dz9C�i��
.$�����
������yY�f�BxfS9�t4)
�N-����c��o�K�az8��h@�
(X9�(�|*icX
�(��z���I�hVê8�e&
1
-}���nS�I�*v~�V
uٗQŠ�7�����)\��ˬ3y$s���x�%�!kø��'���f֩��gU��(-���
-��� t��(V9F؊�nT����,4���P�,���Z�k~ZW�bk sm���3s��N�G�+� ��?q�/��VI����>�R��Q���Vbʩ�y�]d������0��#C�r�:
��Q��aj�p���m�
�(��r�q��[�����_���r^�����a|ш�`�^����ܔ���&wߘ���[ڿ6��
-��[{���ބ&��a��P�7u��T �R
|������=�t�f
�.ixezX������j���_xt��*��R@����K(�>'��x��jn�z
-y����vV
�b����4������)ER����%;���������Sr��7|����>@��2��o۲<���ms�����z���\�n���x[�ػf�2��1BW��� Վ����}��ؾ�,��M �f^Js��lm�
A
���v�~�r�2��5 �9����_"²m���V��[�e�
|?


�h�	e+�̼";���|҇��Hq��s����/:�޾�I�:~�xˀ�T&?8��"�/�e[��T�-�k
b�o�;6���� [g�c(_��\C�/o(ϩ�Mc�u�7��od���vyږ���h�P;��E���Ga�	�C�J:�ud(��
��endstream
+stream
+xڵX�n7}�W죄frxG�<m�m� �"΃"�#��XNs���𲻔()rZ����pxx搢��O4B8f�o��L�fy3i>4�9c�&�wl�0�g����)��7����e��f��������
!�ɼ������H��Ծ���L���Zɧ��z�v����G��i��6��>��!�I����0��h`uc�����QL�8��2Ao�3
��2�*�]U��l�7���`�ݬU �����j���������U���t�/�d ����
}.7�Oh��w�l��q�܋�o+�^2alJGm�y�clg�ւ�����6�яv��/R0�9V¦��a��0���ɲ�%���[���y�Ƙ�WB:�
�I1�b��)!xp&5�W��qɅ�S�L~%�J2 ���e0�Y�0H�|�˲�i���5�M��r�G�N�M!�PD?/?����%��M�>OkE=��
+PJ��۴:����>�m/e��zg
�08=g��9��(O0/3�(�iZ�۸PJH��V
L��*�f%nc�E!G
XĀ���ш�f�y��s%
(��0�%���jq�S�ϴ��MS�$MQ�����gV��Ĝ8�b$�oCH
T-"�&���:9�u���r��D3t��+{j#�J�~w&�c2	�L���
����b�B�������
-S>:� �k�@_=��w
+UPxi���a3�|�\/�WK�|�A_67w��mw�P
K1'L_�bq�*2�v�	,՛Ul|G\���˂��7#�#���WK��&�ux��t�x�~�qQ�tv��ӁՄ�(l��r'��>�D9e
�"ϊY��v��w��3&,�\�
��P�4�q���
p�����ȩ�P�?m)l7^6�E��x�c��x:$��:��vq�Tj��U�qH���S�rϏM�N�Ќ{[����x$�>:��BX����CL�eU�p�%�׼.�5��
�P!-�xi��'�`<���p�4`�v0�
��Ō�>^Е���Ujz�e!���Y�J�ԡ��}k̐$A<�z!PJ$<��	w����y@BL���n�N.
�޼��j›�&�+�O:ܛI ������[�Y;�N[e\yH#P�x�|C�(�#�e����bk�
F�Š:"#�R���
2�Q��ހ'�?F��i��E��!q�
$�
'"������]M�y�=��Jp{c��a���DUZBMKz<���5�D�~sd;F�t�s�:�tu���Ύ#V:-���*��"��9�x at 9��~&
s��X���—\76�5�h%�}�
\Xf�xڭ�5�Q��$k
��{8�J����s<
�hRAQD֪�b���bh�u�SF�ip�����LJ���<?�ཀ��Y�Z������m>���[�GL˸2bLf��"��ˬ�IyY��uHwj���I�� 5�K�!�t���賄
�� Hv��0����so�I�`y�f��o3}�̀��g���P�F�V�j6eT���:�����M&�^�)�"�)����-A7���9;�:_���e���!�����}o���l���M� �J
8%")�.�2��a�{�
+NL���'�&N�g7n�(݁K0Y^��
�
�]�
F��Oܤ�(�1h�n�g
+�<F��7�)�h�l�r�G�1��v�Z�4�i�Ųl�U�pn�j{�3��Af���J�s��[d��DU�\R�
��Y�
���endstream
+endobj
+3462 0 obj <<
+/Type /Page
+/Contents 3463 0 R
+/Resources 3461 0 R
+/MediaBox [0 0 612 792]
+/Parent 3467 0 R
+/Annots [ 3466 0 R ]
+>> endobj
+3455 0 obj <<
+/Type /XObject
+/Subtype /Form
+/FormType 1
+/PTEX.FileName (./vigpics/weibull-ExamplePlot.pdf)
+/PTEX.PageNumber 1
+/PTEX.InfoDict 3468 0 R 
+/Matrix [1 0 0 1 0 0]
+/BBox [0 0 432 432]
+/Resources <<
+/ProcSet [ /PDF /Text ]
+/Font << /F1 3469 0 R /F2 3470 0 R /F3 3471 0 R >>
+/ExtGState <<
+>>>>
+/Length 3472 0 R
+>>
+stream
+q
+Q q 38.02 326.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 329.24 m
+52.95 329.24 l
+53.65 329.24 l
+54.35 329.24 l
+55.04 329.24 l
+55.74 329.25 l
+56.44 329.25 l
+57.13 329.25 l
+57.83 329.26 l
+58.53 329.26 l
+59.22 329.27 l
+59.92 329.27 l
+60.62 329.28 l
+61.31 329.29 l
+62.01 329.30 l
+62.71 329.31 l
+63.40 329.33 l
+64.10 329.34 l
+64.80 329.36 l
+65.49 329.38 l
+66.19 329.40 l
+66.89 329.42 l
+67.58 329.45 l
+68.28 329.48 l
+68.98 329.51 l
+69.67 329.55 l
+70.37 329.59 l
+71.07 329.63 l
+71.76 329.68 l
+72.46 329.73 l
+73.16 329.78 l
+73.85 329.84 l
+74.55 329.90 l
+75.25 329.97 l
+75.94 330.04 l
+76.64 330.11 l
+77.34 330.19 l
+78.03 330.28 l
+78.73 330.36 l
+79.43 330.45 l
+80.12 330.55 l
+80.82 330.65 l
+81.52 330.75 l
+82.21 330.85 l
+82.91 330.96 l
+83.61 331.07 l
+84.30 331.18 l
+85.00 331.29 l
+85.70 331.41 l
+86.39 331.53 l
+87.09 331.65 l
+87.79 331.77 l
+88.48 331.89 l
+89.18 332.01 l
+89.88 332.14 l
+90.57 332.26 l
+91.27 332.39 l
+91.97 332.51 l
+92.66 332.64 l
+93.36 332.77 l
+94.06 332.90 l
+94.75 333.03 l
+95.45 333.17 l
+96.15 333.31 l
+96.84 333.45 l
+97.54 333.59 l
+98.24 333.73 l
+98.93 333.88 l
+99.63 334.04 l
+100.33 334.19 l
+101.02 334.36 l
+101.72 334.52 l
+102.42 334.70 l
+103.11 334.88 l
+103.81 335.06 l
+104.51 335.25 l
+105.20 335.45 l
+105.90 335.66 l
+106.60 335.87 l
+107.29 336.09 l
+107.99 336.32 l
+108.69 336.56 l
+109.38 336.81 l
+110.08 337.07 l
+110.78 337.33 l
+111.47 337.61 l
+112.17 337.90 l
+112.87 338.20 l
+113.56 338.52 l
+114.26 338.84 l
+114.96 339.18 l
+115.65 339.53 l
+116.35 339.89 l
+117.05 340.27 l
+117.74 340.67 l
+118.44 341.08 l
+119.14 341.50 l
+119.83 341.95 l
+120.53 342.41 l
+121.23 342.88 l
+121.92 343.38 l
+122.62 343.89 l
+123.32 344.42 l
+124.01 344.97 l
+124.71 345.54 l
+125.41 346.13 l
+126.10 346.74 l
+126.80 347.37 l
+127.50 348.02 l
+128.19 348.69 l
+128.89 349.38 l
+129.59 350.09 l
+130.28 350.81 l
+130.98 351.56 l
+131.68 352.33 l
+132.37 353.12 l
+133.07 353.93 l
+133.77 354.75 l
+134.46 355.59 l
+135.16 356.44 l
+135.86 357.31 l
+136.55 358.18 l
+137.25 359.07 l
+137.95 359.96 l
+138.64 360.86 l
+139.34 361.76 l
+140.04 362.66 l
+140.73 363.56 l
+141.43 364.46 l
+142.13 365.35 l
+142.82 366.23 l
+143.52 367.10 l
+144.22 367.96 l
+144.91 368.81 l
+145.61 369.64 l
+146.31 370.46 l
+147.00 371.26 l
+147.70 372.04 l
+148.40 372.80 l
+149.09 373.55 l
+149.79 374.27 l
+150.49 374.99 l
+151.18 375.68 l
+151.88 376.36 l
+152.58 377.02 l
+153.27 377.68 l
+153.97 378.32 l
+154.67 378.95 l
+155.36 379.58 l
+156.06 380.19 l
+156.76 380.81 l
+157.45 381.42 l
+158.15 382.03 l
+158.85 382.63 l
+159.54 383.24 l
+160.24 383.85 l
+160.94 384.46 l
+161.63 385.08 l
+162.33 385.70 l
+163.03 386.32 l
+163.72 386.95 l
+164.42 387.58 l
+165.12 388.21 l
+165.81 388.85 l
+166.51 389.48 l
+167.21 390.12 l
+167.90 390.76 l
+168.60 391.39 l
+169.30 392.02 l
+169.99 392.65 l
+170.69 393.27 l
+171.39 393.89 l
+172.08 394.49 l
+172.78 395.09 l
+173.48 395.68 l
+174.17 396.26 l
+174.87 396.83 l
+175.57 397.39 l
+176.26 397.93 l
+176.96 398.47 l
+177.66 399.00 l
+178.35 399.51 l
+179.05 400.02 l
+179.75 400.52 l
+180.44 401.02 l
+181.14 401.51 l
+181.84 402.00 l
+182.53 402.48 l
+183.23 402.96 l
+183.93 403.44 l
+184.62 403.91 l
+185.32 404.39 l
+186.02 404.86 l
+186.71 405.32 l
+187.41 405.78 l
+188.11 406.24 l
+188.80 406.68 l
+189.50 407.11 l
+190.20 407.52 l
+190.89 407.91 l
+191.59 408.27 l
+192.29 408.61 l
+192.98 408.91 l
+193.68 409.17 l
+194.38 409.40 l
+195.07 409.57 l
+195.77 409.68 l
+196.47 409.75 l
+197.16 409.77 l
+197.86 409.73 l
+198.56 409.64 l
+199.25 409.48 l
+199.95 409.27 l
+200.65 409.01 l
+201.34 408.70 l
+202.04 408.34 l
+202.74 407.94 l
+203.43 407.50 l
+204.13 407.04 l
+204.83 406.55 l
+205.52 406.04 l
+206.22 405.53 l
+206.92 405.00 l
+207.61 404.48 l
+208.31 403.97 l
+209.01 403.46 l
+209.70 402.97 l
+210.40 402.50 l
+211.10 402.05 l
+211.79 401.62 l
+212.49 401.21 l
+213.19 400.82 l
+213.88 400.44 l
+214.58 400.08 l
+215.28 399.73 l
+215.97 399.38 l
+216.67 399.03 l
+217.37 398.68 l
+218.06 398.31 l
+218.76 397.93 l
+219.46 397.51 l
+220.15 397.07 l
+220.85 396.59 l
+221.55 396.07 l
+222.24 395.52 l
+222.94 394.91 l
+223.64 394.25 l
+224.33 393.54 l
+225.03 392.79 l
+225.73 392.00 l
+226.42 391.15 l
+227.12 390.27 l
+227.82 389.34 l
+228.51 388.39 l
+229.21 387.41 l
+229.91 386.41 l
+230.60 385.40 l
+231.30 384.38 l
+232.00 383.35 l
+232.69 382.33 l
+233.39 381.32 l
+234.09 380.33 l
+234.78 379.36 l
+235.48 378.41 l
+236.18 377.50 l
+236.87 376.61 l
+237.57 375.76 l
+238.27 374.94 l
+238.96 374.17 l
+239.66 373.43 l
+240.36 372.73 l
+241.05 372.06 l
+241.75 371.42 l
+242.45 370.82 l
+243.14 370.26 l
+243.84 369.72 l
+244.54 369.20 l
+245.23 368.71 l
+245.93 368.23 l
+246.63 367.77 l
+247.32 367.32 l
+248.02 366.88 l
+248.72 366.44 l
+249.41 366.00 l
+250.11 365.57 l
+250.81 365.13 l
+251.50 364.68 l
+252.20 364.22 l
+252.90 363.76 l
+253.59 363.28 l
+254.29 362.79 l
+254.99 362.29 l
+255.68 361.77 l
+256.38 361.23 l
+257.08 360.69 l
+257.77 360.13 l
+258.47 359.56 l
+259.17 358.98 l
+259.86 358.38 l
+260.56 357.78 l
+261.26 357.18 l
+261.95 356.57 l
+262.65 355.96 l
+263.35 355.35 l
+264.04 354.74 l
+264.74 354.13 l
+265.44 353.54 l
+266.13 352.95 l
+266.83 352.37 l
+267.53 351.80 l
+268.22 351.25 l
+268.92 350.71 l
+269.62 350.19 l
+270.31 349.68 l
+271.01 349.20 l
+271.71 348.72 l
+272.40 348.27 l
+273.10 347.83 l
+273.80 347.41 l
+274.49 347.00 l
+275.19 346.61 l
+275.89 346.24 l
+276.58 345.87 l
+277.28 345.52 l
+277.98 345.17 l
+278.67 344.84 l
+279.37 344.51 l
+280.07 344.19 l
+280.76 343.87 l
+281.46 343.56 l
+282.16 343.25 l
+282.85 342.94 l
+283.55 342.63 l
+284.25 342.32 l
+284.94 342.02 l
+285.64 341.71 l
+286.34 341.41 l
+287.03 341.10 l
+287.73 340.80 l
+288.43 340.49 l
+289.12 340.19 l
+289.82 339.89 l
+290.52 339.59 l
+291.21 339.30 l
+291.91 339.01 l
+292.61 338.72 l
+293.30 338.43 l
+294.00 338.15 l
+294.70 337.88 l
+295.39 337.61 l
+296.09 337.34 l
+296.79 337.08 l
+297.48 336.82 l
+298.18 336.57 l
+298.88 336.32 l
+299.57 336.08 l
+300.27 335.84 l
+300.97 335.60 l
+301.67 335.37 l
+302.36 335.14 l
+303.06 334.91 l
+303.76 334.69 l
+304.45 334.47 l
+305.15 334.26 l
+305.85 334.05 l
+306.54 333.85 l
+307.24 333.65 l
+307.94 333.45 l
+308.63 333.26 l
+309.33 333.08 l
+310.03 332.90 l
+310.72 332.73 l
+311.42 332.56 l
+312.12 332.40 l
+312.81 332.25 l
+313.51 332.10 l
+314.21 331.96 l
+314.90 331.83 l
+315.60 331.70 l
+316.30 331.58 l
+316.99 331.47 l
+317.69 331.36 l
+318.39 331.25 l
+319.08 331.16 l
+319.78 331.06 l
+320.48 330.98 l
+321.17 330.89 l
+321.87 330.81 l
+322.57 330.74 l
+323.26 330.67 l
+323.96 330.60 l
+324.66 330.53 l
+325.35 330.47 l
+326.05 330.41 l
+326.75 330.36 l
+327.44 330.30 l
+328.14 330.25 l
+328.84 330.20 l
+329.53 330.15 l
+330.23 330.11 l
+330.93 330.06 l
+331.62 330.02 l
+332.32 329.98 l
+333.02 329.94 l
+333.71 329.90 l
+334.41 329.87 l
+335.11 329.83 l
+335.80 329.80 l
+336.50 329.76 l
+337.20 329.73 l
+337.89 329.70 l
+338.59 329.67 l
+339.29 329.64 l
+339.98 329.61 l
+340.68 329.59 l
+341.38 329.56 l
+342.07 329.54 l
+342.77 329.51 l
+343.47 329.49 l
+344.16 329.47 l
+344.86 329.45 l
+345.56 329.44 l
+346.25 329.42 l
+346.95 329.41 l
+347.65 329.40 l
+348.34 329.39 l
+349.04 329.38 l
+349.74 329.37 l
+350.43 329.37 l
+351.13 329.37 l
+351.83 329.37 l
+352.52 329.37 l
+353.22 329.38 l
+353.92 329.38 l
+354.61 329.39 l
+355.31 329.40 l
+356.01 329.42 l
+356.70 329.43 l
+357.40 329.44 l
+358.10 329.46 l
+358.79 329.48 l
+359.49 329.50 l
+360.19 329.52 l
+360.88 329.54 l
+361.58 329.56 l
+362.28 329.58 l
+362.97 329.60 l
+363.67 329.63 l
+364.37 329.65 l
+365.06 329.67 l
+365.76 329.69 l
+366.46 329.71 l
+367.15 329.73 l
+367.85 329.75 l
+368.55 329.76 l
+369.24 329.78 l
+369.94 329.79 l
+370.64 329.80 l
+371.33 329.81 l
+372.03 329.82 l
+372.73 329.83 l
+373.42 329.83 l
+374.12 329.83 l
+374.82 329.83 l
+375.51 329.83 l
+376.21 329.82 l
+376.91 329.82 l
+377.60 329.81 l
+378.30 329.80 l
+379.00 329.79 l
+379.69 329.77 l
+380.39 329.76 l
+381.09 329.74 l
+381.78 329.72 l
+382.48 329.70 l
+383.18 329.68 l
+383.87 329.66 l
+384.57 329.64 l
+385.27 329.62 l
+385.96 329.59 l
+386.66 329.57 l
+387.36 329.55 l
+388.05 329.53 l
+388.75 329.50 l
+389.45 329.48 l
+390.14 329.46 l
+390.84 329.44 l
+391.54 329.42 l
+392.23 329.40 l
+392.93 329.39 l
+393.63 329.37 l
+394.32 329.36 l
+395.02 329.34 l
+395.72 329.33 l
+396.41 329.32 l
+397.11 329.31 l
+397.81 329.30 l
+398.50 329.29 l
+399.20 329.28 l
+399.90 329.27 l
+400.59 329.27 l
+401.29 329.26 l
+401.99 329.26 l
+402.68 329.25 l
+403.38 329.25 l
+404.08 329.25 l
+404.77 329.24 l
+405.47 329.24 l
+406.17 329.24 l
+406.86 329.24 l
+407.56 329.24 l
+408.26 329.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+40.33 326.02 m 406.82 326.02 l S
+40.33 326.02 m 40.33 323.64 l S
+101.41 326.02 m 101.41 323.64 l S
+162.49 326.02 m 162.49 323.64 l S
+223.57 326.02 m 223.57 323.64 l S
+284.65 326.02 m 284.65 323.64 l S
+345.73 326.02 m 345.73 323.64 l S
+406.82 326.02 m 406.82 323.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 35.88 312.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 96.96 312.71 Tm (12) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 158.04 312.71 Tm (14) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 219.12 312.71 Tm (16) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 280.20 312.71 Tm (18) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 341.29 312.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 402.37 312.71 Tm (22) Tj
+ET
+38.02 329.23 m 38.02 412.33 l S
+38.02 329.23 m 35.64 329.23 l S
+38.02 343.08 m 35.64 343.08 l S
+38.02 356.93 m 35.64 356.93 l S
+38.02 370.78 m 35.64 370.78 l S
+38.02 384.63 m 35.64 384.63 l S
+38.02 398.48 m 35.64 398.48 l S
+38.02 412.33 m 35.64 412.33 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 321.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 349.15 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 376.85 Tm (0.20) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 404.55 Tm (0.30) Tj
+ET
+38.02 326.02 m
+422.50 326.02 l
+422.50 412.99 l
+38.02 412.99 l
+38.02 326.02 l
+S
+Q q 0.00 288.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 173.43 418.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 356.17 Tm (Density) Tj
+ET
+Q q 38.02 326.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 329.23 m 422.50 329.23 l S
+Q q 38.02 182.02 384.48 86.98 re W n
+Q q 38.02 182.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 185.41 m
+52.95 185.47 l
+53.65 185.54 l
+54.35 185.64 l
+55.04 185.76 l
+55.74 185.91 l
+56.44 186.11 l
+57.13 186.35 l
+57.83 186.65 l
+58.53 187.02 l
+59.22 187.46 l
+59.92 187.98 l
+60.62 188.60 l
+61.31 189.35 l
+62.01 190.24 l
+62.71 191.26 l
+63.40 192.42 l
+64.10 193.75 l
+64.80 195.25 l
+65.49 196.94 l
+66.19 198.84 l
+66.89 200.93 l
+67.58 203.21 l
+68.28 205.68 l
+68.98 208.32 l
+69.67 211.13 l
+70.37 214.11 l
+71.07 217.23 l
+71.76 220.46 l
+72.46 223.77 l
+73.16 227.12 l
+73.85 230.50 l
+74.55 233.88 l
+75.25 237.20 l
+75.94 240.44 l
+76.64 243.56 l
+77.34 246.54 l
+78.03 249.36 l
+78.73 251.99 l
+79.43 254.42 l
+80.12 256.59 l
+80.82 258.52 l
+81.52 260.22 l
+82.21 261.68 l
+82.91 262.91 l
+83.61 263.91 l
+84.30 264.69 l
+85.00 265.22 l
+85.70 265.57 l
+86.39 265.75 l
+87.09 265.77 l
+87.79 265.65 l
+88.48 265.40 l
+89.18 265.03 l
+89.88 264.55 l
+90.57 263.98 l
+91.27 263.35 l
+91.97 262.65 l
+92.66 261.90 l
+93.36 261.10 l
+94.06 260.26 l
+94.75 259.39 l
+95.45 258.49 l
+96.15 257.57 l
+96.84 256.63 l
+97.54 255.69 l
+98.24 254.73 l
+98.93 253.77 l
+99.63 252.81 l
+100.33 251.85 l
+101.02 250.90 l
+101.72 249.96 l
+102.42 249.03 l
+103.11 248.12 l
+103.81 247.23 l
+104.51 246.35 l
+105.20 245.50 l
+105.90 244.66 l
+106.60 243.84 l
+107.29 243.05 l
+107.99 242.27 l
+108.69 241.51 l
+109.38 240.76 l
+110.08 240.02 l
+110.78 239.30 l
+111.47 238.58 l
+112.17 237.86 l
+112.87 237.15 l
+113.56 236.44 l
+114.26 235.72 l
+114.96 235.00 l
+115.65 234.27 l
+116.35 233.54 l
+117.05 232.79 l
+117.74 232.03 l
+118.44 231.26 l
+119.14 230.48 l
+119.83 229.70 l
+120.53 228.90 l
+121.23 228.10 l
+121.92 227.29 l
+122.62 226.49 l
+123.32 225.68 l
+124.01 224.88 l
+124.71 224.09 l
+125.41 223.31 l
+126.10 222.54 l
+126.80 221.79 l
+127.50 221.06 l
+128.19 220.36 l
+128.89 219.68 l
+129.59 219.03 l
+130.28 218.40 l
+130.98 217.80 l
+131.68 217.23 l
+132.37 216.69 l
+133.07 216.17 l
+133.77 215.67 l
+134.46 215.19 l
+135.16 214.73 l
+135.86 214.28 l
+136.55 213.85 l
+137.25 213.42 l
+137.95 212.99 l
+138.64 212.57 l
+139.34 212.14 l
+140.04 211.72 l
+140.73 211.29 l
+141.43 210.85 l
+142.13 210.41 l
+142.82 209.96 l
+143.52 209.50 l
+144.22 209.05 l
+144.91 208.59 l
+145.61 208.13 l
+146.31 207.67 l
+147.00 207.21 l
+147.70 206.76 l
+148.40 206.32 l
+149.09 205.88 l
+149.79 205.46 l
+150.49 205.05 l
+151.18 204.66 l
+151.88 204.28 l
+152.58 203.92 l
+153.27 203.58 l
+153.97 203.25 l
+154.67 202.93 l
+155.36 202.63 l
+156.06 202.35 l
+156.76 202.08 l
+157.45 201.82 l
+158.15 201.57 l
+158.85 201.32 l
+159.54 201.09 l
+160.24 200.86 l
+160.94 200.64 l
+161.63 200.42 l
+162.33 200.21 l
+163.03 200.00 l
+163.72 199.79 l
+164.42 199.59 l
+165.12 199.39 l
+165.81 199.20 l
+166.51 199.01 l
+167.21 198.83 l
+167.90 198.65 l
+168.60 198.48 l
+169.30 198.31 l
+169.99 198.15 l
+170.69 197.99 l
+171.39 197.84 l
+172.08 197.68 l
+172.78 197.52 l
+173.48 197.37 l
+174.17 197.20 l
+174.87 197.04 l
+175.57 196.86 l
+176.26 196.68 l
+176.96 196.49 l
+177.66 196.29 l
+178.35 196.09 l
+179.05 195.87 l
+179.75 195.64 l
+180.44 195.41 l
+181.14 195.17 l
+181.84 194.92 l
+182.53 194.68 l
+183.23 194.43 l
+183.93 194.19 l
+184.62 193.96 l
+185.32 193.74 l
+186.02 193.52 l
+186.71 193.33 l
+187.41 193.14 l
+188.11 192.98 l
+188.80 192.83 l
+189.50 192.71 l
+190.20 192.60 l
+190.89 192.51 l
+191.59 192.44 l
+192.29 192.39 l
+192.98 192.36 l
+193.68 192.34 l
+194.38 192.33 l
+195.07 192.33 l
+195.77 192.35 l
+196.47 192.36 l
+197.16 192.39 l
+197.86 192.41 l
+198.56 192.43 l
+199.25 192.46 l
+199.95 192.47 l
+200.65 192.49 l
+201.34 192.50 l
+202.04 192.50 l
+202.74 192.49 l
+203.43 192.48 l
+204.13 192.46 l
+204.83 192.42 l
+205.52 192.38 l
+206.22 192.33 l
+206.92 192.27 l
+207.61 192.20 l
+208.31 192.12 l
+209.01 192.03 l
+209.70 191.93 l
+210.40 191.82 l
+211.10 191.70 l
+211.79 191.57 l
+212.49 191.43 l
+213.19 191.28 l
+213.88 191.12 l
+214.58 190.95 l
+215.28 190.78 l
+215.97 190.60 l
+216.67 190.41 l
+217.37 190.22 l
+218.06 190.03 l
+218.76 189.83 l
+219.46 189.64 l
+220.15 189.45 l
+220.85 189.26 l
+221.55 189.08 l
+222.24 188.90 l
+222.94 188.73 l
+223.64 188.57 l
+224.33 188.42 l
+225.03 188.28 l
+225.73 188.14 l
+226.42 188.02 l
+227.12 187.92 l
+227.82 187.82 l
+228.51 187.72 l
+229.21 187.64 l
+229.91 187.57 l
+230.60 187.50 l
+231.30 187.44 l
+232.00 187.39 l
+232.69 187.34 l
+233.39 187.29 l
+234.09 187.25 l
+234.78 187.21 l
+235.48 187.17 l
+236.18 187.13 l
+236.87 187.09 l
+237.57 187.05 l
+238.27 187.02 l
+238.96 186.98 l
+239.66 186.94 l
+240.36 186.90 l
+241.05 186.86 l
+241.75 186.83 l
+242.45 186.79 l
+243.14 186.76 l
+243.84 186.73 l
+244.54 186.70 l
+245.23 186.68 l
+245.93 186.66 l
+246.63 186.64 l
+247.32 186.63 l
+248.02 186.62 l
+248.72 186.62 l
+249.41 186.63 l
+250.11 186.64 l
+250.81 186.66 l
+251.50 186.69 l
+252.20 186.72 l
+252.90 186.75 l
+253.59 186.79 l
+254.29 186.83 l
+254.99 186.87 l
+255.68 186.92 l
+256.38 186.96 l
+257.08 187.00 l
+257.77 187.04 l
+258.47 187.08 l
+259.17 187.10 l
+259.86 187.13 l
+260.56 187.14 l
+261.26 187.15 l
+261.95 187.15 l
+262.65 187.14 l
+263.35 187.12 l
+264.04 187.09 l
+264.74 187.05 l
+265.44 187.00 l
+266.13 186.95 l
+266.83 186.88 l
+267.53 186.81 l
+268.22 186.74 l
+268.92 186.65 l
+269.62 186.57 l
+270.31 186.48 l
+271.01 186.39 l
+271.71 186.30 l
+272.40 186.21 l
+273.10 186.13 l
+273.80 186.04 l
+274.49 185.96 l
+275.19 185.89 l
+275.89 185.82 l
+276.58 185.75 l
+277.28 185.69 l
+277.98 185.64 l
+278.67 185.60 l
+279.37 185.55 l
+280.07 185.52 l
+280.76 185.49 l
+281.46 185.47 l
+282.16 185.45 l
+282.85 185.43 l
+283.55 185.42 l
+284.25 185.42 l
+284.94 185.42 l
+285.64 185.42 l
+286.34 185.42 l
+287.03 185.43 l
+287.73 185.43 l
+288.43 185.44 l
+289.12 185.45 l
+289.82 185.46 l
+290.52 185.47 l
+291.21 185.48 l
+291.91 185.48 l
+292.61 185.49 l
+293.30 185.49 l
+294.00 185.49 l
+294.70 185.49 l
+295.39 185.49 l
+296.09 185.49 l
+296.79 185.48 l
+297.48 185.48 l
+298.18 185.47 l
+298.88 185.46 l
+299.57 185.45 l
+300.27 185.43 l
+300.97 185.42 l
+301.67 185.41 l
+302.36 185.39 l
+303.06 185.38 l
+303.76 185.37 l
+304.45 185.35 l
+305.15 185.34 l
+305.85 185.33 l
+306.54 185.32 l
+307.24 185.30 l
+307.94 185.29 l
+308.63 185.29 l
+309.33 185.28 l
+310.03 185.27 l
+310.72 185.27 l
+311.42 185.26 l
+312.12 185.26 l
+312.81 185.25 l
+313.51 185.25 l
+314.21 185.25 l
+314.90 185.25 l
+315.60 185.25 l
+316.30 185.25 l
+316.99 185.25 l
+317.69 185.25 l
+318.39 185.25 l
+319.08 185.26 l
+319.78 185.26 l
+320.48 185.27 l
+321.17 185.27 l
+321.87 185.28 l
+322.57 185.29 l
+323.26 185.30 l
+323.96 185.31 l
+324.66 185.32 l
+325.35 185.34 l
+326.05 185.35 l
+326.75 185.37 l
+327.44 185.39 l
+328.14 185.41 l
+328.84 185.43 l
+329.53 185.45 l
+330.23 185.47 l
+330.93 185.50 l
+331.62 185.52 l
+332.32 185.54 l
+333.02 185.57 l
+333.71 185.59 l
+334.41 185.61 l
+335.11 185.63 l
+335.80 185.65 l
+336.50 185.66 l
+337.20 185.68 l
+337.89 185.69 l
+338.59 185.70 l
+339.29 185.70 l
+339.98 185.71 l
+340.68 185.71 l
+341.38 185.71 l
+342.07 185.70 l
+342.77 185.70 l
+343.47 185.69 l
+344.16 185.68 l
+344.86 185.66 l
+345.56 185.65 l
+346.25 185.64 l
+346.95 185.62 l
+347.65 185.61 l
+348.34 185.59 l
+349.04 185.58 l
+349.74 185.57 l
+350.43 185.56 l
+351.13 185.55 l
+351.83 185.54 l
+352.52 185.53 l
+353.22 185.53 l
+353.92 185.52 l
+354.61 185.52 l
+355.31 185.52 l
+356.01 185.52 l
+356.70 185.52 l
+357.40 185.52 l
+358.10 185.52 l
+358.79 185.52 l
+359.49 185.52 l
+360.19 185.52 l
+360.88 185.52 l
+361.58 185.52 l
+362.28 185.51 l
+362.97 185.51 l
+363.67 185.50 l
+364.37 185.49 l
+365.06 185.48 l
+365.76 185.47 l
+366.46 185.46 l
+367.15 185.45 l
+367.85 185.44 l
+368.55 185.44 l
+369.24 185.43 l
+369.94 185.42 l
+370.64 185.41 l
+371.33 185.41 l
+372.03 185.40 l
+372.73 185.40 l
+373.42 185.40 l
+374.12 185.40 l
+374.82 185.40 l
+375.51 185.41 l
+376.21 185.41 l
+376.91 185.42 l
+377.60 185.43 l
+378.30 185.44 l
+379.00 185.45 l
+379.69 185.45 l
+380.39 185.46 l
+381.09 185.47 l
+381.78 185.48 l
+382.48 185.49 l
+383.18 185.49 l
+383.87 185.49 l
+384.57 185.50 l
+385.27 185.50 l
+385.96 185.49 l
+386.66 185.49 l
+387.36 185.48 l
+388.05 185.48 l
+388.75 185.47 l
+389.45 185.46 l
+390.14 185.44 l
+390.84 185.43 l
+391.54 185.42 l
+392.23 185.40 l
+392.93 185.39 l
+393.63 185.38 l
+394.32 185.36 l
+395.02 185.35 l
+395.72 185.34 l
+396.41 185.32 l
+397.11 185.31 l
+397.81 185.30 l
+398.50 185.29 l
+399.20 185.28 l
+399.90 185.28 l
+400.59 185.27 l
+401.29 185.26 l
+401.99 185.26 l
+402.68 185.25 l
+403.38 185.25 l
+404.08 185.25 l
+404.77 185.24 l
+405.47 185.24 l
+406.17 185.24 l
+406.86 185.24 l
+407.56 185.24 l
+408.26 185.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+75.37 182.02 m 394.48 182.02 l S
+75.37 182.02 m 75.37 179.64 l S
+128.55 182.02 m 128.55 179.64 l S
+181.74 182.02 m 181.74 179.64 l S
+234.92 182.02 m 234.92 179.64 l S
+288.11 182.02 m 288.11 179.64 l S
+341.29 182.02 m 341.29 179.64 l S
+394.48 182.02 m 394.48 179.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 73.15 168.71 Tm (0) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 124.11 168.71 Tm (20) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 177.29 168.71 Tm (40) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 230.48 168.71 Tm (60) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 283.66 168.71 Tm (80) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 334.62 168.71 Tm (100) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 387.81 168.71 Tm (120) Tj
+ET
+38.02 185.23 m 38.02 260.74 l S
+38.02 185.23 m 35.64 185.23 l S
+38.02 204.11 m 35.64 204.11 l S
+38.02 222.99 m 35.64 222.99 l S
+38.02 241.86 m 35.64 241.86 l S
+38.02 260.74 m 35.64 260.74 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 177.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 215.20 Tm (0.02) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 252.96 Tm (0.04) Tj
+ET
+38.02 182.02 m
+422.50 182.02 l
+422.50 268.99 l
+38.02 268.99 l
+38.02 182.02 l
+S
+Q q 0.00 144.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 180.14 274.91 Tm (Predicted Values: Y|X) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 212.17 Tm (Density) Tj
+ET
+Q q 38.02 182.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 185.23 m 422.50 185.23 l S
+Q q 38.02 38.02 384.48 86.98 re W n
+Q q 38.02 38.02 384.48 86.98 re W n
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+52.26 41.24 m
+52.95 41.24 l
+53.65 41.24 l
+54.35 41.24 l
+55.04 41.24 l
+55.74 41.25 l
+56.44 41.25 l
+57.13 41.25 l
+57.83 41.26 l
+58.53 41.26 l
+59.22 41.27 l
+59.92 41.28 l
+60.62 41.28 l
+61.31 41.29 l
+62.01 41.31 l
+62.71 41.32 l
+63.40 41.33 l
+64.10 41.35 l
+64.80 41.37 l
+65.49 41.39 l
+66.19 41.41 l
+66.89 41.44 l
+67.58 41.47 l
+68.28 41.51 l
+68.98 41.54 l
+69.67 41.58 l
+70.37 41.63 l
+71.07 41.68 l
+71.76 41.73 l
+72.46 41.79 l
+73.16 41.85 l
+73.85 41.92 l
+74.55 41.99 l
+75.25 42.07 l
+75.94 42.15 l
+76.64 42.24 l
+77.34 42.33 l
+78.03 42.42 l
+78.73 42.52 l
+79.43 42.63 l
+80.12 42.73 l
+80.82 42.84 l
+81.52 42.95 l
+82.21 43.07 l
+82.91 43.18 l
+83.61 43.30 l
+84.30 43.42 l
+85.00 43.53 l
+85.70 43.65 l
+86.39 43.77 l
+87.09 43.88 l
+87.79 44.00 l
+88.48 44.11 l
+89.18 44.22 l
+89.88 44.33 l
+90.57 44.43 l
+91.27 44.53 l
+91.97 44.64 l
+92.66 44.74 l
+93.36 44.84 l
+94.06 44.94 l
+94.75 45.04 l
+95.45 45.14 l
+96.15 45.25 l
+96.84 45.35 l
+97.54 45.46 l
+98.24 45.58 l
+98.93 45.70 l
+99.63 45.83 l
+100.33 45.96 l
+101.02 46.10 l
+101.72 46.25 l
+102.42 46.41 l
+103.11 46.59 l
+103.81 46.77 l
+104.51 46.96 l
+105.20 47.16 l
+105.90 47.38 l
+106.60 47.61 l
+107.29 47.84 l
+107.99 48.09 l
+108.69 48.35 l
+109.38 48.62 l
+110.08 48.89 l
+110.78 49.17 l
+111.47 49.46 l
+112.17 49.76 l
+112.87 50.05 l
+113.56 50.35 l
+114.26 50.65 l
+114.96 50.96 l
+115.65 51.26 l
+116.35 51.56 l
+117.05 51.86 l
+117.74 52.15 l
+118.44 52.45 l
+119.14 52.74 l
+119.83 53.04 l
+120.53 53.33 l
+121.23 53.62 l
+121.92 53.92 l
+122.62 54.21 l
+123.32 54.52 l
+124.01 54.83 l
+124.71 55.15 l
+125.41 55.48 l
+126.10 55.82 l
+126.80 56.18 l
+127.50 56.56 l
+128.19 56.95 l
+128.89 57.36 l
+129.59 57.80 l
+130.28 58.26 l
+130.98 58.75 l
+131.68 59.25 l
+132.37 59.78 l
+133.07 60.33 l
+133.77 60.91 l
+134.46 61.51 l
+135.16 62.12 l
+135.86 62.76 l
+136.55 63.40 l
+137.25 64.07 l
+137.95 64.74 l
+138.64 65.43 l
+139.34 66.12 l
+140.04 66.81 l
+140.73 67.50 l
+141.43 68.20 l
+142.13 68.89 l
+142.82 69.57 l
+143.52 70.25 l
+144.22 70.93 l
+144.91 71.59 l
+145.61 72.25 l
+146.31 72.89 l
+147.00 73.53 l
+147.70 74.16 l
+148.40 74.79 l
+149.09 75.41 l
+149.79 76.02 l
+150.49 76.63 l
+151.18 77.24 l
+151.88 77.85 l
+152.58 78.46 l
+153.27 79.08 l
+153.97 79.71 l
+154.67 80.35 l
+155.36 81.00 l
+156.06 81.66 l
+156.76 82.34 l
+157.45 83.04 l
+158.15 83.76 l
+158.85 84.50 l
+159.54 85.25 l
+160.24 86.03 l
+160.94 86.83 l
+161.63 87.65 l
+162.33 88.49 l
+163.03 89.35 l
+163.72 90.22 l
+164.42 91.12 l
+165.12 92.03 l
+165.81 92.95 l
+166.51 93.88 l
+167.21 94.83 l
+167.90 95.78 l
+168.60 96.74 l
+169.30 97.70 l
+169.99 98.67 l
+170.69 99.64 l
+171.39 100.60 l
+172.08 101.57 l
+172.78 102.54 l
+173.48 103.50 l
+174.17 104.46 l
+174.87 105.41 l
+175.57 106.36 l
+176.26 107.30 l
+176.96 108.22 l
+177.66 109.14 l
+178.35 110.05 l
+179.05 110.94 l
+179.75 111.82 l
+180.44 112.67 l
+181.14 113.51 l
+181.84 114.32 l
+182.53 115.10 l
+183.23 115.86 l
+183.93 116.58 l
+184.62 117.26 l
+185.32 117.90 l
+186.02 118.50 l
+186.71 119.06 l
+187.41 119.57 l
+188.11 120.02 l
+188.80 120.42 l
+189.50 120.77 l
+190.20 121.07 l
+190.89 121.32 l
+191.59 121.51 l
+192.29 121.65 l
+192.98 121.73 l
+193.68 121.77 l
+194.38 121.76 l
+195.07 121.71 l
+195.77 121.61 l
+196.47 121.48 l
+197.16 121.31 l
+197.86 121.11 l
+198.56 120.89 l
+199.25 120.64 l
+199.95 120.38 l
+200.65 120.10 l
+201.34 119.81 l
+202.04 119.52 l
+202.74 119.22 l
+203.43 118.92 l
+204.13 118.63 l
+204.83 118.35 l
+205.52 118.07 l
+206.22 117.80 l
+206.92 117.55 l
+207.61 117.31 l
+208.31 117.08 l
+209.01 116.87 l
+209.70 116.66 l
+210.40 116.47 l
+211.10 116.30 l
+211.79 116.13 l
+212.49 115.97 l
+213.19 115.81 l
+213.88 115.65 l
+214.58 115.50 l
+215.28 115.34 l
+215.97 115.17 l
+216.67 114.99 l
+217.37 114.80 l
+218.06 114.59 l
+218.76 114.36 l
+219.46 114.11 l
+220.15 113.83 l
+220.85 113.53 l
+221.55 113.20 l
+222.24 112.84 l
+222.94 112.45 l
+223.64 112.02 l
+224.33 111.57 l
+225.03 111.08 l
+225.73 110.56 l
+226.42 110.02 l
+227.12 109.44 l
+227.82 108.83 l
+228.51 108.21 l
+229.21 107.56 l
+229.91 106.89 l
+230.60 106.21 l
+231.30 105.51 l
+232.00 104.80 l
+232.69 104.08 l
+233.39 103.35 l
+234.09 102.62 l
+234.78 101.89 l
+235.48 101.16 l
+236.18 100.44 l
+236.87 99.72 l
+237.57 99.01 l
+238.27 98.31 l
+238.96 97.62 l
+239.66 96.95 l
+240.36 96.28 l
+241.05 95.63 l
+241.75 94.99 l
+242.45 94.36 l
+243.14 93.75 l
+243.84 93.15 l
+244.54 92.57 l
+245.23 91.99 l
+245.93 91.42 l
+246.63 90.87 l
+247.32 90.32 l
+248.02 89.78 l
+248.72 89.24 l
+249.41 88.71 l
+250.11 88.18 l
+250.81 87.65 l
+251.50 87.12 l
+252.20 86.58 l
+252.90 86.04 l
+253.59 85.49 l
+254.29 84.94 l
+254.99 84.38 l
+255.68 83.81 l
+256.38 83.23 l
+257.08 82.64 l
+257.77 82.04 l
+258.47 81.43 l
+259.17 80.81 l
+259.86 80.18 l
+260.56 79.54 l
+261.26 78.89 l
+261.95 78.24 l
+262.65 77.57 l
+263.35 76.91 l
+264.04 76.23 l
+264.74 75.55 l
+265.44 74.87 l
+266.13 74.19 l
+266.83 73.51 l
+267.53 72.83 l
+268.22 72.15 l
+268.92 71.47 l
+269.62 70.79 l
+270.31 70.12 l
+271.01 69.45 l
+271.71 68.78 l
+272.40 68.12 l
+273.10 67.46 l
+273.80 66.81 l
+274.49 66.17 l
+275.19 65.53 l
+275.89 64.89 l
+276.58 64.27 l
+277.28 63.64 l
+277.98 63.03 l
+278.67 62.42 l
+279.37 61.82 l
+280.07 61.23 l
+280.76 60.64 l
+281.46 60.07 l
+282.16 59.50 l
+282.85 58.95 l
+283.55 58.41 l
+284.25 57.87 l
+284.94 57.35 l
+285.64 56.84 l
+286.34 56.35 l
+287.03 55.87 l
+287.73 55.40 l
+288.43 54.94 l
+289.12 54.50 l
+289.82 54.08 l
+290.52 53.66 l
+291.21 53.26 l
+291.91 52.88 l
+292.61 52.50 l
+293.30 52.14 l
+294.00 51.79 l
+294.70 51.44 l
+295.39 51.11 l
+296.09 50.79 l
+296.79 50.47 l
+297.48 50.17 l
+298.18 49.87 l
+298.88 49.57 l
+299.57 49.28 l
+300.27 49.00 l
+300.97 48.72 l
+301.67 48.45 l
+302.36 48.19 l
+303.06 47.93 l
+303.76 47.67 l
+304.45 47.42 l
+305.15 47.18 l
+305.85 46.94 l
+306.54 46.71 l
+307.24 46.48 l
+307.94 46.26 l
+308.63 46.05 l
+309.33 45.85 l
+310.03 45.65 l
+310.72 45.46 l
+311.42 45.28 l
+312.12 45.10 l
+312.81 44.94 l
+313.51 44.78 l
+314.21 44.63 l
+314.90 44.48 l
+315.60 44.34 l
+316.30 44.20 l
+316.99 44.08 l
+317.69 43.95 l
+318.39 43.83 l
+319.08 43.72 l
+319.78 43.61 l
+320.48 43.50 l
+321.17 43.40 l
+321.87 43.30 l
+322.57 43.20 l
+323.26 43.10 l
+323.96 43.01 l
+324.66 42.92 l
+325.35 42.83 l
+326.05 42.75 l
+326.75 42.66 l
+327.44 42.58 l
+328.14 42.50 l
+328.84 42.42 l
+329.53 42.35 l
+330.23 42.27 l
+330.93 42.20 l
+331.62 42.13 l
+332.32 42.07 l
+333.02 42.01 l
+333.71 41.95 l
+334.41 41.89 l
+335.11 41.83 l
+335.80 41.78 l
+336.50 41.73 l
+337.20 41.69 l
+337.89 41.65 l
+338.59 41.61 l
+339.29 41.57 l
+339.98 41.53 l
+340.68 41.50 l
+341.38 41.47 l
+342.07 41.45 l
+342.77 41.42 l
+343.47 41.40 l
+344.16 41.38 l
+344.86 41.36 l
+345.56 41.34 l
+346.25 41.33 l
+346.95 41.32 l
+347.65 41.31 l
+348.34 41.30 l
+349.04 41.29 l
+349.74 41.28 l
+350.43 41.28 l
+351.13 41.27 l
+351.83 41.27 l
+352.52 41.26 l
+353.22 41.26 l
+353.92 41.26 l
+354.61 41.26 l
+355.31 41.26 l
+356.01 41.26 l
+356.70 41.26 l
+357.40 41.27 l
+358.10 41.27 l
+358.79 41.28 l
+359.49 41.28 l
+360.19 41.29 l
+360.88 41.30 l
+361.58 41.30 l
+362.28 41.31 l
+362.97 41.32 l
+363.67 41.33 l
+364.37 41.34 l
+365.06 41.36 l
+365.76 41.37 l
+366.46 41.38 l
+367.15 41.40 l
+367.85 41.41 l
+368.55 41.43 l
+369.24 41.44 l
+369.94 41.46 l
+370.64 41.48 l
+371.33 41.49 l
+372.03 41.51 l
+372.73 41.52 l
+373.42 41.53 l
+374.12 41.55 l
+374.82 41.56 l
+375.51 41.57 l
+376.21 41.58 l
+376.91 41.58 l
+377.60 41.59 l
+378.30 41.59 l
+379.00 41.59 l
+379.69 41.59 l
+380.39 41.59 l
+381.09 41.59 l
+381.78 41.58 l
+382.48 41.57 l
+383.18 41.56 l
+383.87 41.55 l
+384.57 41.54 l
+385.27 41.53 l
+385.96 41.51 l
+386.66 41.50 l
+387.36 41.49 l
+388.05 41.47 l
+388.75 41.45 l
+389.45 41.44 l
+390.14 41.42 l
+390.84 41.41 l
+391.54 41.39 l
+392.23 41.38 l
+392.93 41.37 l
+393.63 41.35 l
+394.32 41.34 l
+395.02 41.33 l
+395.72 41.32 l
+396.41 41.31 l
+397.11 41.30 l
+397.81 41.29 l
+398.50 41.28 l
+399.20 41.28 l
+399.90 41.27 l
+400.59 41.26 l
+401.29 41.26 l
+401.99 41.26 l
+402.68 41.25 l
+403.38 41.25 l
+404.08 41.25 l
+404.77 41.24 l
+405.47 41.24 l
+406.17 41.24 l
+406.86 41.24 l
+407.56 41.24 l
+408.26 41.24 l
+S
+Q q
+0.000 0.000 0.000 RG
+0.75 w
+[] 0 d
+1 J
+1 j
+10.00 M
+132.62 38.02 m 326.57 38.02 l S
+132.62 38.02 m 132.62 35.64 l S
+229.59 38.02 m 229.59 35.64 l S
+326.57 38.02 m 326.57 35.64 l S
+BT
+0.000 0.000 0.000 rg
+/F2 1 Tf 8.00 0.00 -0.00 8.00 130.40 24.71 Tm (5) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 225.15 24.71 Tm (10) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 322.12 24.71 Tm (15) Tj
+ET
+38.02 41.23 m 38.02 108.61 l S
+38.02 41.23 m 35.64 41.23 l S
+38.02 63.69 m 35.64 63.69 l S
+38.02 86.15 m 35.64 86.15 l S
+38.02 108.61 m 35.64 108.61 l S
+BT
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 33.45 Tm (0.00) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 55.91 Tm (0.05) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 78.37 Tm (0.10) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 30.41 100.82 Tm (0.15) Tj
+ET
+38.02 38.02 m
+422.50 38.02 l
+422.50 124.99 l
+38.02 124.99 l
+38.02 38.02 l
+S
+Q q 0.00 0.00 432.00 144.00 re W n
+BT
+0.000 0.000 0.000 rg
+/F3 1 Tf 10.00 0.00 -0.00 10.00 152.70 130.91 Tm (First Differences: E\(Y|X1\)-E\(Y|X\)) Tj
+/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 68.17 Tm (Density) Tj
+ET
+Q q 38.02 38.02 384.48 86.98 re W n
+0.745 0.745 0.745 RG
+0.08 w
+[] 0 d
+1 J
+1 j
+10.00 M
+38.02 41.23 m 422.50 41.23 l S
+Q q 59.04 73.44 342.72 299.52 re W n
+Q
+endstream
+endobj
+3468 0 obj
+<<
+/CreationDate (D:20070601024534)
+/ModDate (D:20070601024534)
+/Title (R Graphics Output)
+/Producer (R 2.5.0)
+/Creator (R)
+>>
 endobj
-3167 0 obj <<
-/Type /Page
-/Contents 3168 0 R
-/Resources 3166 0 R
-/MediaBox [0 0 612 792]
-/Parent 3144 0 R
-/Annots [ 3172 0 R ]
->> endobj
-3172 0 obj <<
+3469 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F1
+/BaseFont /ZapfDingbats
+>>
+endobj
+3470 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F2
+/BaseFont /Helvetica
+/Encoding 3473 0 R
+>>
+endobj
+3471 0 obj
+<<
+/Type /Font
+/Subtype /Type1
+/Name /F3
+/BaseFont /Helvetica-Bold
+/Encoding 3473 0 R
+>>
+endobj
+3472 0 obj
+28615
+endobj
+3473 0 obj
+<<
+/Type /Encoding
+/BaseEncoding /WinAnsiEncoding
+/Differences [ 45/minus 96/quoteleft 144/dotlessi/grave/acute/circumflex/tilde/macron/breve/dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut/ogonek/caron/space]
+>>
+endobj
+3466 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [247.09 160.505 269.893 174.453]
+/Rect [247.096 112.349 269.866 126.183]
 /Subtype /Link
 /A << /S /GoTo /D (section.12.7) >>
 >> endobj
-3169 0 obj <<
-/D [3167 0 R /XYZ 72 720 null]
->> endobj
-3170 0 obj <<
-/D [3167 0 R /XYZ 72 697.999 null]
+3464 0 obj <<
+/D [3462 0 R /XYZ 72 720 null]
 >> endobj
-3171 0 obj <<
-/D [3167 0 R /XYZ 72 364.025 null]
+3465 0 obj <<
+/D [3462 0 R /XYZ 72 307.648 null]
 >> endobj
-3166 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F79 926 0 R /F29 672 0 R /F54 1447 0 R /F51 1171 0 R /F35 1440 0 R /F32 668 0 R /F78 924 0 R /F76 747 0 R /F48 554 0 R >>
+3461 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F32 667 0 R /F75 1442 0 R /F72 1166 0 R /F38 1435 0 R /F35 663 0 R /F149 920 0 R /F142 743 0 R /F69 550 0 R /F126 638 0 R >>
+/XObject << /Im31 3455 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3175 0 obj <<
-/Length 2917      
-/Filter /FlateDecode
->>
-stream
-x��ZM���ϯ�!��D�oЮ���ħ8ފ���ACQ3L$J&�����t H�H���r.6@���릾{�w��QJJ)g�W3ZP”��B���C�����@Nr��R�
-{���,�H�J)�*aLT�y����ͨ{���^�B���O�e�~F�R��(n���d$��ڭ
�sN��҄�$rF8���D�
-Q(�?0��

-�Qf�4S!�e3���*$�T�fz��˔*�)����]W�u;g:z0�d�p_��V�bN�jh�����z�/�9��p�{h
��΍���4�:�<�%aB^�
-d�Kʳ�nE,�쬛93�~������)��p
�I`h|�~�\R���B�l�o�nN�e4|��_RfC`_��qU˺���v��Խ�g��n{�[�m�̀���E�]�����q�k@���k���IHCDy�A^fm��;P_�v�.�7�	r�J��ቜ5-�>2�3-� �XAXYZT�aA�
x 
���+�y�;�AJ:Z�mqMS'�+��QR/���%B5�t�̹l���3��
-.��r:pY�(p]-z�!�:�yn�
��voя�l��������o�z�칛���DNo8/��5���Ǎ�┣����o�����*�.�LI�WYΪ��o7>��M1�� B��#\C��nn�%4$X�s}��͏��|T�ھ;�Ӕ�Y�Kc�$$1� D�����Q���&���1R����rgG �"� $&!		�<q� �ft�T����0t���t�9���?��(�=%
-���8K�!%n"L�/� c)H`�4 ���<�)rMX��+F��]vM��g<���e	�
gD��y�4`8S
:ad
80�&
M1j�'�
1�X�>�����M�,�<�m���I0+�"C髉�gQ�zq�j�B��)(���Ic������e	�gԚ��}9��Wx�>��r�!?���Uni�0wm;�UR9J	�3��f8`���l�Y2d�bW�C#���g4^��:�Hx/�5\U�h�E�V#%�{A���]�fX�UW/��
f�v;د�Z��O��`\��p�-VH���� ��ĭ\-
>8y|�����e�
eBI�',t��P�	R���=�C��ڧ’���>����j�vH��c���Ê(�ƙ�1
dzǑ&Z[�/�q}�M
�`�
s)ߧ�أ
->;ȼE�՘���Ĩ��~JL����F:�=�@@���4����c�6Ӓ�zUd����K�s �f��魱K�<�/��7����+1>
-��6���r��vO���\�l�5��u
ҿ�.�.S>B!s�����/\Q=b�
Z9�^�jU5c����Q
[ �7
/��4��= �v��~`�ε�jm�
/���@Ր���N�~L�RK�r��z醜��{�I�߇H�E�O!
m���}����{�?$t@�3��~H�9T��
��V�x1�ۈ2��I/<������aͿm�f����+/6B]�N�D#EܛX�m�
�7)U�q��ĮK•�>���VQ�s͌8T\3�x%�Jµ�0�(p�83��Sx.��8Q0�k�
��+��8�k�j�L,�P�PD��(���|��������؇=�DM	� �
 �
�a�LOlx�FL�{�m7�y�׍G�~�٭]
c��Bi
�4=�D(�����
x�0��^6t<�
˶ w��Y�A�M_
;��]ww���5%�%D9���?u�),ܛu1�mhm�:���[�o�ݢ���
%3p� ��$D�i
B�[X��g�=KF-�� ���n����a4.�I[]p�B��_*�����
��DU�ę���XT*�H�\�~���̱5<B�+��q/VO
�%[�J��
F�;�A�,���7Z
-p��-vT~����"G����z��M*� �)���:�l_Zs�����z��<кA7th>[m�c�A���s|	�-�������;D���?j����D4׆�)�!lu�X!�%eqd�fd���	`�Z���m�
��~c���v���n��MXoCX{i\
�����a�Au\X2�dD\n#�v�R}�QY
h�}��
�4� �pd�o'y|Za�|xՎ-��Ҿ W�
5�#�mʏ)�J!����듔��)6��AN+:�]�M�I�M���90X�w
�v��
T �
7� <%�5.a�fUF��`X�7J��id1��h����~we���)��X}�6��]<�D߄��M���3�\���J����7��
H�1 �΀�k&�1eA��ɓ�/�J�\�¡�+5b��=�	@@��6������Jˏ��n�������<���"l�(s��A-�E���
��
K����1�[^�ٍ�����IrQ�P��ێ�ҭ2�M9�v��t̺�"JV_�� �Qe�Xaʬ�ӱ�"�O����"��Q�����M�-f���\�=�
���[�$���0Kwӵx�?m����۾�
}Z�A�4{�;�d���+��|I�
ѕ�f�G?�6^��_�W��
-[�r<�-�6ne���81���!�@�߭}Q񸮗w^�m|
�
0
��s(����W��e\� y�ݔK���&��dWS�~�v�
���z7~h�A������E�o���D���)��Hy{��? [~)�
��^⊈_$"��d�G�`&���KE��\��qpe���M��v��vlUc�kQ
{�A��A�<6E��<x7���8�5���ԕ�L�B����8�M�u��ŀ��R�c�Gz�ǁ��J�y��/�3��(.���Vx'�	�����f�{E
���}溍��p�"����lO���U&�~�
�Q���0i
"Y~�(�;
�մQ��
��v���*����܂�L�ьP��ؓC
ʀpK��J�������X��MW~endstream
+3476 0 obj <<
+/Length 2722      
+/Filter /FlateDecode
+>>
+stream
+x��ZIs����W�U1��a�.�x*�)�I��@Q�F���Y���^�n�AR���@	$
��~�����G߾݌s�i=;���3a�̶��
+?����t{�(��c>?��+|
��;|n��d����p��ϧx�ӱ_>7��F�iu�?k�c���
7_��H��
_=v�&�3|�<מ3�-��O=�3�%�"�][�V{�[�~ի��՚
7V��iX��ӟg��)e��>D~�YDN��"���)
+[�����7RdFq�9Ӂm`�	
+�f���ku[ᡘ�2�<VX(&�
XpZ��ZѺ{����Nf��k�,n�,n�W2��5l��.£���p��>�?�]��(a
�I
+�I&m

̈́�l߲�'�\��ɉn'��{5ټ��c2r�?E�����jK�g|O���T+}@OZ���=rU�0Z��^h'��
�
+�It��1�bhl�Ǧڤ΋�����u�:
IN�Vxpɬ�v�C<3p���d����9��$�vthD����U��N�4JH �I��L��d�x&�MB]n��33������
+,��a���HƵ��PL�`Rh�eK$�����
���Ι�b]a���j�s&U��xp͜Lޓ�{
F��
Cx�2�%
�"�8�����0_��v�.�X�&�+5k��QMs���|�̱ǔ�Y΍�=����v&\e�s��d߿�lC^&_8�Q�$Z/�
+�Bű7�Z_��tI1�&1_KEwq�<m�����1e�ao�l(+!s*�U��r�J�֯l
a
�n�D�D�y�z=��ւ8z)����Jf ���
%4#]*���.+
�q�63������a2�a�Z������L�r�ld�FF�[�Z@Ɓy
����_�;@j�͚s���
ݣs��K�;���L��8��l�f]�n��9�x��};;?jg?�LY7��k�����b��_���
���j�&��5��"��,�ƥ	���9l
1���SW_s!����wj�3Mf̕_ BC��9�tO����F`dha�vɥk�٠a4�
�2���-�c��/��Ԓ)�I
��I
RT±�6Q�
� �5��s�bo�=����_[�$��vM\�	ό���Y�3�D����v�t�l*
't���݂T�+���1G9��ܰ����r2)k����
+
��s\l���p,v�H��^J��^a�
+t���3����Ã�"�j2f�H%Gi���^QX��!��j�E$�{s��P灦]��>�숶��Pn�1��

�/��5׊W��6��a����e�*�
��L�^c�6j�gc��;�].z�R��$!
�ˢI�ƤC��,싫���|�*�	>Q�eP�0%��=z���~\�,
���Bc��sws��ݮnk���|Hb��Q*�3��Z�)+�:*�v��
+������K�G�2[�	ņ��:�R1gR���"���6�����P`��P��}N��zM��||VY�d��|T�� Y�8�ђ��/~�;�)n�yEꤿ���1_j�S���j���W�
�j�U�����W�����28�
+b
a�U����)��żKo�����Щ��B��%�A�p�qV��q�SN�z O`[�@M�# �<��U��ߨ����2�Ɇ���0xb<�6�Y�����%��jsM�ܬP�����_�3��>��r����l��m���J�N�Ȉ��BjZ�Ɇ+ԍ�*��y\�Ä��j�nk˩��v���;a��΢���
�9�94۠��@׶���d���a
�[UE�mD
���{��Z�Q�b%�C��w��E��)���~�Fhs޻~����&�����طI��l�t̬�O.Ҭ�f4���s���}6�M3�۫pr9��18Q�!�Sve�{6摂�����
��,�_xj�Z�:Q� g���$I穪��,c,��՞~��'(:��,��zK�1rt�-��?n���n�_����1�u�gD�<���\���P���e�S��p6��b�]�09E4\5Uo�ثT��
��AVe��Ϳ�j����M�y��3���~����רQ-_�y_�
�>�d��ˊ��
;��-u�Fġ�FF���b���j$!�wA
+��;������sL<[^/"�:�x﬽1E��+-D���� �2�u�cC_�O
� ������1�O�<�0��'f�a۪` ��ȈE��)
+k�MQ
�z�
[ F\fǥ�͜!�x�  uN{��:
�|(���c���Q v�h�Y�&fM�-���^$X����m�
��]~�x��-:_�f�(�4�.��I-X8R�HX��-�v#��
���ϑ��v�֒
+h\�cC@#��#
���;�eTg, �㩝�4↹|>n���i�T��(��8�u�r({�4'm��I�SkK,
+��
`lNh�
V�4\e %6P|"��FʹL$��g���>
+�)P�!
+�����iᆷk'����|Ij�,a��[�}Fjh)����ܦe�>S-o�/���nJJ�i.f��gh��>C#�Q��mXY��L|�@�mV�A'Tx���}�
�a���~9���s���қ�h蝇<YN;�:
�[LW._u"87��+y׷���|�뇠�D o�������>�!ƃ���o����S�ӱ����=� �O镯�����w�>�� �u0��2޸J#U*�hvDŮ��������t��endstream
 endobj
-3174 0 obj <<
+3475 0 obj <<
 /Type /Page
-/Contents 3175 0 R
-/Resources 3173 0 R
+/Contents 3476 0 R
+/Resources 3474 0 R
 /MediaBox [0 0 612 792]
-/Parent 3144 0 R
+/Parent 3467 0 R
 >> endobj
-3176 0 obj <<
-/D [3174 0 R /XYZ 72 720 null]
+3477 0 obj <<
+/D [3475 0 R /XYZ 72 720 null]
 >> endobj
-3177 0 obj <<
-/D [3174 0 R /XYZ 72 429.675 null]
+3478 0 obj <<
+/D [3475 0 R /XYZ 72 373.547 null]
 >> endobj
-3173 0 obj <<
-/Font << /F29 672 0 R /F26 548 0 R /F32 668 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F54 1447 0 R /F78 924 0 R /F76 747 0 R /F67 564 0 R /F70 642 0 R /F79 926 0 R /F52 1472 0 R >>
+3474 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F35 663 0 R /F38 1435 0 R /F72 1166 0 R /F69 550 0 R /F75 1442 0 R /F149 920 0 R /F142 743 0 R /F114 560 0 R /F126 638 0 R /F73 1467 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3180 0 obj <<
-/Length 3017      
+3481 0 obj <<
+/Length 2858      
 /Filter /FlateDecode
 >>
 stream
-x��ZI��F����9H�Y���g|� 	0�ų�9��R�	E*$��� ���-�M]��vr�K�U����{����/�I��R"�����*�E��R�	iab����Vr���o��F'����x%i��Mdb��6���ˍZ7uQ�Z�Z�+��H�{�/���l"��w�T�
�������b���ۍN׮-`ߝ�?�0�=ph�v|Gߺ�?���<��Heh��ϼ��g$�3FL�
�Y�I�D�b�t�6�ȕ�k�@�T��@�W�U���x)+�Mh%�����H���$Rd��	����ʎSx�NW��"���R�����7H0��Z�\��$1"����x����?���F����‚���Y
-m����Z�au�כ?�gE�a�촯�JL<�t%XA�v�'W�V��S2-���P1/��)��r��J�e�q�Yf��_)��|nyFЁ6KY�On�B�Ԁ��L׬@3�d+f?#E�E��I�t���>� Ҡ?pbn����'Gh���
��h
-M�8C������N+i-�%dʬt*�L�</dJGF Y�k����d�����=���jZ3���60��\��!�]��H=��D�4]+�I���lL�2���TY�0j�c4+Î�F >R�89�ǰ��UZr&��{�̨�dM��\䉙��oG|N ЀeKv���k]�DX�u�y�f"���t����	���mYc6iy�
NUA3}�����İ'��r��3d[��
�a(?8ބ�
�����S#��i�y����v�U�������$�ӓI tA�_����k+�kC I`�3�cl|A���r�|.����(v�qp���d.�tp�_��{Y�>�u�`��Uf뭫��Ep��� A�< [...]
-	!]�A�P$W���?�S�?rݕG<�\}����v�6G~��� ��a|����]Ʉ�é����ʊ

��|q_�ݝ�j����><��C.����\�Y�D$>
n]�rA;��Y�}��� �������G&�v"�ٌ���_�;�igÏ�z��
�)}�?��.
/�ĉ�EN�&#�&"��ґzv:R�q�
gп�3|V:�B@b�x�CZ�za�����k��}���XtXc}�A���*����$��Pԇ�<N���_I������!�7hT�
m�R�&&ޖU
��U�'����9_y(U��0f]t��x���a�a��	�-Z�k�;�w=��c7���+|
���u�~<�_�5�J
xS־0
0�v�/Olt��(��|(�&�ܦ�_�8�Mҥ��O �	������=���4���C"�0��.p�Ģ
�<��ׇ!�ᆞO�C
]�����o.�K��0%~\��x���������\�S=F�s��r�	�<Y<>�m�ڷ��DŽ
3�l2�nڀ�Cq<U�\
����Ź0n�u�L�#3���B'? �ĐHGI 
���Ca�w�Z�#���˒�̾�-��vB*^���w��)“�/^�
\[�'ܼP�� ���2
�
-gM�l��b�h�!�QO�V�p�V9���rL���gȣ��T�7ek�I5�P
���&��/��y
i:wc[
n!U����Q'��A��_�fjD��$Mma��L��py�I2�H����8`� #���C>���K�"�v��k��\sM����t �7����O��R\&�0�U�@N+Dd��\�<�|p,�G
 ����8�s��!��!Ķ�"�C��!�
��dv at V6	㊦3�XP^x�')5kX�辛���>��ܐ ;�)p0�K̺�/5�AZ�;�^�hB
�[��|��e�S
-9�͉�.7)9����ڪ�O	�rl�@�g�E�5R �p��2�=�KQ������bHR��CS��W{�Z���@�?lif�
.i�
�??����
�&�y^t��n�b'\���̃)ݠ��N��}
��e05C(�6Ap7���'�
N���
�NEˁ�w�Ю/٥\�6�
el
:f4��AX���32�f�y�w�#TVF�٬��M�C-�Z��Ej�X�tۢr_��D�S�.
-5��Ta� �^a�?�!���.KPv����	�m1��/�� �\Ϋx�%�P%F�m�Y�q|�E:y�`�=��!L��؏��B�#��ӵO
z�!�⁡,W�
�4Lo��+Jn���XO���3��F��Uy��o��p �

��F��h�x,�g�
��Q7�j at U��<�c�k]���y��#��0�gQ~��1�֎������pv�	�L5 ��� S�a0�۞?=��
E%�P�"ń�
%n��������6���T6
�N��<Ok% 0{I��Ir��Y��:��	W�2.% 
v��#bW���>
؎��,����`h���P��p<��x>�D���j�;��� ;	���O�?�/C���i�`x��eU��4:fP���I`�GWZ�'�Y%�ш/5[�'_�
(5y��cR�W�!j ��d����x�4��Y���/0���C]��q
�_B<�]��
�<�����9Z����2ƙc1d)�L����9v��
S��d<X
Pz�|�p�Љs��_�G&�'�F�;��TP>��C�����E��(�u����nW��qQU}�^�

-D]�����s�B���,�ʛ&/�S�C�D���
��(ȱyl-�Ң�ح��!����
r/
�'Ƽ�6m�"�'L&�$~
-0�ld$1Pu�h�udR��R�H�_�4����������uC�/z(��mt�Ē���'c�=Ř
�%�#uܯ�C
6��P)�p��x���J,�b�+�d^����/ĸo6Dd�J�����s1�
�[�d}
-b�aI�&�-YX[�w���6�e�����i�t��&s�+�*�a����W��
��1���]@��G�K]4����$jn;j�ۡ��?���u���P3���WL�ƐB�D�L}2%5ٛ/&ɨ����_� �-�\�w>^���1P����"˸�a����_���Y�endstream
+x��ko�����	8����6_� =��>��#�E�
�$;���I�����\�K�>��A6�
���{f����w���1F�R��͌QF�V3C-�
����
6?��âRϗ�������b�e�Å�]#��on��>�P�y
��~��z�Ƈ� t�|BuĴěO
�<�mF�}��8��/�p��U
��l�e�;_���n#�k����c|
8^ՇY���qFg�DJ�E������h$3��̸��N�.p��:�­޵���]\����ۈm�l�#$��<`�4/A8 ��^
�����X�A2(�D��
Z��7%
�����ú�3C��UM�c u�'<ȶ@Bae�*Z�$�j(
�$�ܜ�d�22��
+d'䜂t�({�-�K����V*t�xV7QQ' ��ڠ�WǸ�������?z{��:�:,��Sv�A�d�C)0�S���y9X��a��3z
����pW2jeT���+�d��m
!u����Ұq�ZT���
��\�����\
yT�3z8�Eb
�N�>
��G������M�F�:W��� ��spX���{��U�1�*���8-9��f���U��zD�[�c
�B�84�b��&�S\E
C�ӜP��x�
�80K|\&����)	�L���������
A�3Z�
W�&�~�*�]��Է��B���n�ٷ@8H [0U�EGy��~ɜ�YB%��=�⁏�-eㇿk�$�:��Ɓ�lJB�?���5�&���0Ј��{�d�8mG=���������\0�Р8،
+��p���
�{t�f�s⨙)ت`j��_����;:[_�ُ�Hcg�pM	n�� ���x�����\UBVeؾǪK�L>-IC�`��?
��q�!�
+���߮�:�A'�h׼ʼn�"��+E}ȑ�A�����$���>����-G��U�ᠢ�U$���E!�r�����
��D
R���U��|!@��L���j�#	��V�P�eb�
a�t���ԣ�@�ܜϥ�d�²�v�z�C���@Q����$���+�"7j(�Ь�A�eB��8���� �_�E3iuݛX�Zk�L� ���f~S \A�z�`��C�!��u�
'���ն�t��m�Q
�	U�6K��܁%��Ӷo�����.lS�mS��
�$�*Q啔���aع�aؘ�p'�~��4Wݖ �
�-A`x����X_�ʽ��݂b�Ru��q+��i�V.�V^q+�e6�þ��� �B¡pI��ڌ�ٟ��C1��X+������ �/���l>z+<睊�:���$,�֡}��ﱲ�1O!w�U�2t
���㑐E��4���|�Ù�}o�
|i0�A�I
<=�A�8����� _��N%��2�I-�&�5��z#��HO����y�f�
D�9Hd�<A���yN7�;(3���<�'gt����c
vcV���)M���i�t=�D��xq|#�
�8�y��]�� ;ӧ7�d27�:�s�\JJc�j����nR��������7>��M��pA�� [...]
�y8o�n;_�o0̟�4�Ǐw��~^8�zK}(��؏�P__66#K;F����h�� ��
%�M�~\���' �n�V�Y�����n���!���ε��$@� 6)w�GNY �}2̜��H.l�#ܷ���?�w�{HzZ�����v.�=��6��
��a?�
+�e�M
�p�D��D�QI,uѠ��IR��J11�-\V���Z���%��
��@���V��?���O��y�?~��X`YV�1ȥĈ�-�u&�e*㇆�q�Ȓ��y�e)e��G�(��5����
x;���r��q��zI���G�X��P
��G�D�
z�H���L*ҫיDj�L�=
�՘��*�K�8�l�N�N�U�V{g����ⶎi$�g"]c7�3c�J�ӿ��
��`pT'l�Md�),3��4����Cg8������)��1,4�zߝ�Z�뙝n��qj^G\�g%9I؃�[8D�!?�ư�|�'鐨L��ҺS|���qp�K�'��+��x��	94�2��͜ �����)�͘�=��
�x<��������}��k���1�B҄�n࿝|��\�A�9!(JlSV�H>#����1�I�Tf ������a
+�`�j�K��2KB@��t��hr�vhִ2/�u���t�T��
q�|��*D��%
�
/�eƴw�c�I�"�QGg�d&�;t�<��WOO/��͘�g
��8�=/�� n�h_}-9m�p{2

?�J�� ԻJ�z�",�e�t�%� �&}�瘥( �0*�]K�$�q����\ j�=%�$W��0өV7�0?�(r]%� ��d�≤��T��Ek�ʂ�/gNz_b8s��Ź�*�ƞh�:s����-�jB��C3�K�H��&��CZ����ޞ�t�1��DžP�{���>�
�
+��;�t�V
lT�QE�We�:���
���,0�ѮXB'�
+*�2�Ł�c��tK����G�A=�Z��k�����?Ed�xZ�
;8����a
�
�d{��]���A�!�ɓ�#������4N�S
�d�	
� 35�̗��v�ם��P(	z��[����i���|��K��u��~M��ʫT^���v�P0�ŝ�]��^���
$�I��ۛ2��X���i�CX�ǐ�|�r	O������y�����<�����e�tJ����v�;�|�{��
+�c���b�d�]���\��R�>yBG�\��ghU]#�J8�o��_�A����w�6���t�� �\S��fx���FWg� h��[5�mላ\V����d����*endstream
 endobj
-3179 0 obj <<
+3480 0 obj <<
 /Type /Page
-/Contents 3180 0 R
-/Resources 3178 0 R
+/Contents 3481 0 R
+/Resources 3479 0 R
 /MediaBox [0 0 612 792]
-/Parent 3183 0 R
+/Parent 3467 0 R
 >> endobj
-3181 0 obj <<
-/D [3179 0 R /XYZ 72 720 null]
+3482 0 obj <<
+/D [3480 0 R /XYZ 72 720 null]
 >> endobj
-3182 0 obj <<
-/D [3179 0 R /XYZ 72 495.369 null]
+3483 0 obj <<
+/D [3480 0 R /XYZ 72 422.937 null]
 >> endobj
-3178 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F70 642 0 R /F35 1440 0 R /F51 1171 0 R /F48 554 0 R /F29 672 0 R /F52 1472 0 R /F32 668 0 R /F41 1704 0 R /F67 564 0 R /F79 926 0 R >>
+3479 0 obj <<
+/Font << /F29 544 0 R /F32 667 0 R /F72 1166 0 R /F149 920 0 R /F126 638 0 R /F38 1435 0 R /F69 550 0 R /F73 1467 0 R /F35 663 0 R /F53 1695 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3186 0 obj <<
-/Length 1433      
+3486 0 obj <<
+/Length 1841      
 /Filter /FlateDecode
 >>
 stream
-x��WKs�6��Wh:=�3D�A�';n2M�����L�
h�0�H$
{��P���KӋ,
���������L/��R��F�HӅ�r� ��
>��_���h�
��ED
-[�Q�j$Q�5��1�	������8�����2MT��L�Lb
tv�g��P��P��(�{�
�e�fs\�
U�n=��Ml[�k�ht�
�j�j�#��v��UP�{����<(.r�����~�I��د
^?�����\,e!�X#��+�ϥ�_�9�Qzp��?�
sԨ\1�n]
�{�����]����[\�A6���

����"�U���ft��HE�ESHR���_G�b@[�B3$9lXJ����쌕D$�\<�� N�i0(�yu�
Ur��42ʾ1���k�.�>>T<a��
-DH��z�T3�q��`$Q����#
-E=��F
�֘;�'��ӟ��%�lQ
���<|�O�BTF"R# eS��9r::ҽ��ɿ��"������@d�n��B�1ʿ�
�PD��������1�Δ��4��>y� ����y��_�7�� s�9��I���i����Q֜�}n�m��}K��L������Mɟ�)ك��LV�s��`�z��[&�'�Ր��HJ
Q�
m�d��{Ɠ���M��$ГH!5�)ϸ^$�o�w�0�JҎ�n�h����NF��L��
��:T�(H'7b���P:��'xҖ��h�ܝ���%���=�{`Ӿ���:�!ٹqi����9��A����Őg�-�|j���}I����հ��
*��:��u��
�
(:�|봧�`�B���f��3[㎢�$
-άS���6�J��݀/�C,mϲ�,�'"ףۜ4sz
-;�f!"�SG/>c!=�bw�
)M@
E���(�r��7��Fv�J�7��ϱf��=xd�X��k^�?���0�"���g
���X�y�_��
U~�=J�
���� 
-��e}��t����;�2W�445�h���Uy.2Db�o�6�B�!`d\Miţ�b4�&�x%Fh8�G6g{�
0b݊�_ɓ�y)�t|��'pi��҄���Jxv�/���=�T�r]���@�C�k��7�\M
�_|�;��3Y��""�<���Iz��ߚǿ0}5�
8�i���ۘ���C=E��v][?6é�����k��ն܏U�����[��K�׆
�3k���f�L�8
k�y�`Onf7�[%�����vp��q����e���!��n�I�&�)���b�Zf��ir���
��r��#��~��b���+�n�㕛[�+9��t�*a�a��@�(��զ��@��"�c������A���S�k��}��-^�}i��^��ϓ���{7>��R�;�}�
-��
-U5���������P��
Cf��N��G�
��t��L,ן��~�#�{endstream
+x��XK��6
��Wx:=�3+F�D=��&i:ͫ��6�i�ǖ�j��cٛd��
 E�t�mr�A�D |x�/��"e6�RTZ�.��,�GER�$��ٟї�_�O�P�>��P�)�cM�y���8T�1��(�f��Xg%�-�q��i�f��1r
A�!��3_
O���l}lx`A��
+�
ʄ1�<]׎c�G��2#��nd��S���
��ߝ�NS��4-E
+{����Т,�)�۱ָ�����RGqZd�Ƙ�b�{�V
+L\8�
��	��c�YkVg�i'���
砆T�X�R��+%��B�V$v�O�`{k���*z������ճ�~���da���-�Ҭ�v�t�@�u�]O����T����<I9����2e�y
?Ą�hq��O�������
��U��c��,|n^+
v��R-(�Bx�A��0� �U"y�1\#
���£��Ƌ�ƑR`^�Ou�<�1�}̵(���} �Pe�&�JLB���}
+8&2s��r���@.솪�Ό�y˹�n���i�Ó��e�a-sP';��

��2�bg��s��x�S5(��t��S���8,���
+�V�
��^�GT�l�t��R/œfǁF�Ԅ�5���D ��
�`9+�A'��.�(dQ�
}Gh����4+DQ)�"S���k��i㗀t�Z%'�o(�83�F�٠���̥.��qE�s��hY���u��f�w^%��ܰa�b׭<e8}Q@������pX}3��r	Ki"C„�qa��
��!Uj
D
+���4�e^���:
?�ݢZ���%B~.�}������A�O%8��!�����4��+; �
�1�W�+b����G2�>��e���BP	E��z�Y3�s{I��猦2
�k���
����k�-�Bǒ��"M2`V�%2=�Ɂ~k~j۲\[~u�aR����n7X�Pp�p�.
�]f�r�c@�]�K;�x��ç��5�rM��*Έ�VDs�a����X�
������|�

�Y"O��	7��nV�׊4�'|m���6_�זw�/�5���}
�$���#�NQ�GNV��:V���6�]��	�j
+D\.�a�2z;.��l
�v���PQ
m��`��üqBn[��} �ݎ)o�$^�E�K��o<ɟiڞ6��%��о6��OxCpPSE�٤u�2r:����:���!D�� %`�9�uc����0,��=�����
��5��9����;�Eߚ�� ��"TZ�
t��e�I}�Q�矎����{8?r/��
�K�����~��5���.�͠v�L8�*O�o��3O2]Eo�#t���K��׬�z�<�}ȼ�1[��M����ڙ�S\٤J�����KC'�h��`bTX/�gh�b;�6ݶ�v����.̛�.B=B��L�:۲y1Li.�Kw�����q���R6{#����Yk�JU%T>�7��n��ã�̫��ӛ�b/7�eS��+��W�(X��aߓ�|�
��So���.����=���ユ�	_�`\T�$>.0?^�Ԙ�X_�=�;Y�ôk��k�JE�,�
gL�)�X������XA�=�G����ݽ�d����ػV��:�+��,�3\��
��]{5
�2�!!��Z잏M.D#7S�T����}6Y�w;��W��2�����6�
+��w��A�{&�{
+�e=�K������.��L�������Ϗ�������h�M��
Ŏ�0Z(����
~`�b5��TIX9[�8v�\T��}f�`������V����/
��AT�8~��A��A
�����qf/�����^��|g
k�7��
�*f�i������E^Re�M������?��Gendstream
 endobj
-3185 0 obj <<
+3485 0 obj <<
 /Type /Page
-/Contents 3186 0 R
-/Resources 3184 0 R
+/Contents 3486 0 R
+/Resources 3484 0 R
 /MediaBox [0 0 612 792]
-/Parent 3183 0 R
+/Parent 3467 0 R
 >> endobj
-3187 0 obj <<
-/D [3185 0 R /XYZ 72 720 null]
+3487 0 obj <<
+/D [3485 0 R /XYZ 72 720 null]
 >> endobj
-3188 0 obj <<
-/D [3185 0 R /XYZ 72 533.657 null]
+3488 0 obj <<
+/D [3485 0 R /XYZ 72 438.546 null]
 >> endobj
-3184 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F79 926 0 R /F26 548 0 R /F29 672 0 R /F51 1171 0 R /F76 747 0 R >>
+3484 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F149 920 0 R /F35 663 0 R /F72 1166 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3191 0 obj <<
-/Length 1370      
+3491 0 obj <<
+/Length 1390      
 /Filter /FlateDecode
 >>
 stream
-x��WI��D�ϯ�悃����
��� !!����I�q�'/�ɿ�;
�ˌ�w�]]]��W��/7�>�և��"da�٭�^y�	c�j��=��P�U�4�n���+��c��J�R��L�k�������(�
�ڎ�?w�
��	;F����M�R
J�좴Y�
��
-&�����
��
*�
� J���D��傼�sF�<q�F�K�[=�3.(R H,�f�Z��#[���#��
�S�dR���^�! ]��p\�<�O=��U9m8hByo�8

-<*%�R6'�J�Є�*:��1B�PaGΤ����Bg
�kof��Hi۰
-�T`��P�7ߠ��|Kl����8���y{ȅ13�Oȳ��b"�dD����IaP
V�Z�Oj
��2��c�PwNJ�
�}>��r.�X�E�r"�a�9�
i��G�+1��"
�cM!G+�x�
-��pvRV��#��?0��"H�JA�ZOR��	
;��>�z>�깫���b�x�4�Rf�̉X��u}?>J9��l�nlʡj�ɎC��ˤ�~��x��z� ��3�UϚ���_)�3԰�i���z�fl(� ��Z�x!��A4�U��
+$;����iC�.6eD�x�Tx��W������,��eQ�q� �v=3���G���Ht�=={�5�t�L
*l��4�zC0��q�3�a0�)���\xu��"��ls�E
gyA�A��g��~*;�#x����IC}�ɏ�Q][��4,X�d&�/�z���	�_���o�,ѴÂ(∤��sM��M��J@�ѷ������A""�Z�$LT j�8Q�������ۏ��C&�L��%?i�9���S�����e�����:
{J64��|����-1��S�[p'56��AO8��W|��a���hs���$ߣ5���ߧ
-�
-Z͚�l�,�m��K�乪k�5�O�St)S��TS^J��R4��d]�?|����X�i�i�.$�2�a�0�4s"���N�Yj� ����3?����
��I.���}�ࡻ��=[ �a���R�٠9w�4�;�G��M�V��8�n;�ikLb�s
ꪟpQ�����[�*��l�d)z�зA�e�P�	�����0�m��
��n�n?���&��7���{H��C��sSyu��R�
�1�06-!.�3�	�E0{̹%�Se2���&
-?���I ����
~i��1��Q��0vM?A��z��Ä
Q�8Z�-֥g�E��^W͎;��6����nЃ�N�]??�J�ky��\���������{
Z
���K��]����!��C-%���[
-2�Z��d����٭93�&^�s�O�
$���^)��I�20O�I�R�__}�y���Xendstream
+x��X�o�D��"�
T/�/�}���@"BB
i�ѵI'���33;c�S��P�'�띯�|쬿^���;���8�0[\͂���Rֹ�b�G��\g7K��?�O���6�L����\�8+f��U�m�{�
?H�]�H�+~�<~�!ίq�L��=SDr�c at NU
�l�Vg��~?�ǃ�h�(���2ڣi���*�5�6�L��y�)����^
T�{�z��³"#tF2i}DX(T����<w����s�L
z��"����͍�	�
�ٺ���g$�^!퉵 ��N
�eod�B�ȡ���y�57Z�:��C_�/�dqS�рlz�ޓ�9c��R��-[��`�tN$�N����>�[P�X�

��adLg�>�:M�ʎ]��/{���3
A��Fdw�{���zD�T
��_�*�������+��u/��'�64EXn��
h[k��͖�eu>��
+q�=ϛIU�l��Z=*,�����4�b��d�$���T���� Z�������&
+ʸ�
��T��2������M��U�*�uud[W��'{
n$�F�U�t>qָB�UpA9/Q��E��C�����:��Q6�0�+���&�\C����<�I(��
�~
ľz
+
ʆ\�ohS��]ڈ*���J�p��b;Ю��=�����C��q۞�e�!{�:����MEJ���I6��0��d�4�h��<X?
���
�Nsh<
�F�OȆ�"@�������u��.�}�M<
�#���>��R�
�
���X� ��8{]-[�hG ,)
�}r
�4�%����v��s� � /�,�rg�$��c�<1h���4� ����~���
��#������'���}e�QNkV�N��8! K#
S`�eR��>��
��b9�Qn]�
�ѩW�����0(�ƕ]dș9V��*J1�����vZX
M���X�u�~�W��E6{�t�Bs�п-��d%V+�W+��XLyH]����T�Q�[Tkn�qeb9.�8Ya��Kn̽�T��� "g�͇�i�{�j�x��Nc�*z��]�
+]zU'!�F����,y��E��P������ǜ�ة��� {�������)�Rn��I:����k(L�
�n<�W�Wc���X
o����+�l�Yû˿
��i�
+�c�x�+�?u�Z<yY0Y�bY�
?�4�y�=՝6�w+wA�%�5�������sm�/pa ��� =
�W����z�c�
���۽\�Ŗ ^�-I���AzЛ�=��wR�v腇�Z 2�:o0�ۘ7�`�ϙn�9@���;����E��U"F�WQ�4u@�w
+�t�/�X��>������u��.�Z
l���	v$uL�6���|
+�
�L�n< ��U
�f���
��]���
��endstream
 endobj
-3190 0 obj <<
+3490 0 obj <<
 /Type /Page
-/Contents 3191 0 R
-/Resources 3189 0 R
+/Contents 3491 0 R
+/Resources 3489 0 R
 /MediaBox [0 0 612 792]
-/Parent 3183 0 R
+/Parent 3467 0 R
 >> endobj
-3192 0 obj <<
-/D [3190 0 R /XYZ 72 720 null]
+3492 0 obj <<
+/D [3490 0 R /XYZ 72 720 null]
 >> endobj
-470 0 obj <<
-/D [3190 0 R /XYZ 72 720 null]
+466 0 obj <<
+/D [3490 0 R /XYZ 72 720 null]
 >> endobj
-474 0 obj <<
-/D [3190 0 R /XYZ 72 508.792 null]
+470 0 obj <<
+/D [3490 0 R /XYZ 72 508.792 null]
 >> endobj
-3193 0 obj <<
-/D [3190 0 R /XYZ 72 428.626 null]
+3493 0 obj <<
+/D [3490 0 R /XYZ 72 428.657 null]
 >> endobj
-3194 0 obj <<
-/D [3190 0 R /XYZ 72 274.164 null]
+3494 0 obj <<
+/D [3490 0 R /XYZ 72 274.227 null]
 >> endobj
-1432 0 obj <<
-/D [3190 0 R /XYZ 72 220.822 null]
+1427 0 obj <<
+/D [3490 0 R /XYZ 72 220.917 null]
 >> endobj
-3195 0 obj <<
-/D [3190 0 R /XYZ 72 167.48 null]
+3495 0 obj <<
+/D [3490 0 R /XYZ 72 167.607 null]
 >> endobj
-3189 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F76 747 0 R /F78 924 0 R >>
+3489 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F142 743 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3198 0 obj <<
-/Length 2348      
+3498 0 obj <<
+/Length 2284      
 /Filter /FlateDecode
 >>
 stream
-x��YɎ����W�b
-h��/3��3�6l���o���H�K�
���I�*����E��%23�E���7o��'��y
�=��Qt�z��EԲ�����_~{�>���7N�;��-7��6�3T�
[��oe^��楡����j�����f�����Q�;��6H
��L��� }�7q�]U��ǚ'�N�KYbA]q�;xG�A.=��tU�-E��#�=����&v���V��e�$��x�g܃K�B?v��;aO5>#���9t��!�b��
�G'��8�:4'Ȝ'���H(Mӷ��Iחj8J�h�$�,�oyZ�*d��^5|N��-��[��,���QA�8}�c5H�3
3�b�z�y\��:[����(Ho�ΎDV б
��~ƞ~W�y_�ё?A�逝l�� �����F�a�`0+>a'-4�
ZZ�W�eg�P�H�a�@/��.g= .�C�
��
��I�$[�[�%3Q���b�ԩ��C��)n��ۘ��?0��m��i֌�nHKMFI2O�:�W�E�s�`0;t� [...]
-Z�(�|�Q at dW4����U��qI^ܗ,�ܓ]���Nʝ�Kt�Yߩhӭ����iTe�_����zJ	��UQ��ֱ�
-��$P��*lB�4-�pFa�0�P�HulȪ��4� Pu�t��0��S� �/:q�ɞ��JB����tnQ��
T��4GT�_��
Q��xF�����̓��c]tv[;��9V��9qV����!i�iO��l��x�� �joDN�21�t�T����h�,���e���
-T��Ep�
���xc�;�lp���e&
^o�����T���暿cZQ�VJO��'���ʝ�ɨ����O�����OD��vK���٨��,<5}N��(��ةH
v���
�Q�U�쵈
l��"�ٮ�Q|?�D&Q`�0�q����0�FV���
;)}�8�
�B�Z�
�-��3��3����~_ˈ0�+�
"
y� Z�,�|��6I3�:���$]���E1���+Q��QY�n�GKIT�Lª9���.���J�u�f?HQ�{ MGv��M
2��vlIU��"�L�u�m����`oI�i&Hp�kL�ƒ��f�8�_���&���q���^�6�0q�%��Q�L+
���O5��+7��.�#
-�s�����K��`W(�'��qS��6a��JD��ʱ���.����8�k� �)mZ��
$���h1H��!r�ٙ�a��H��HuӘ�l��I���Ԧ�	XPX~A����YQ�=� �Կ̪����:)[��ª]}Ք*]nR'&
-�bKC�8�c-M<ݞ)	�?�9
WNf��S��'OTu
u���-U�M���E,o�X�M�XU�K0	|o
�2Rp��)A���y	��;�
��̻j��Q��BNPא�ƀ���-�Ԍ�/jRBJmN3��kn�n��[��7�e#X9�*��}4���
F�c��Ņ
�f�4�����Ƅ��8i
��Ku�=,�;4ؽ���dhB����O�dϦ������AM�9����K�&���Ǧ$m�ka�3�G�
:nင(�E:���`E"U�`-#�D\^~��4����:��^�\@�'�X]
lй>2�$
-^w�o?��_}���
��~4,P��
�F�M;H����&�T�3��~���v���O���0"����;s����S���>}����d9��;�s@:;��}"��]aM�PV"Fzpd�Zs��g�g�8��K�������#�O�C;�K�)Q�w�IjD�z�&G������=���Ƙ�nEP��q�s\���=�T
-|��n��G�n!�R�/)�/�=�!�=�e%) �������Xn���h��_JA������^R�S���H���p�ܘ8��|�H?߽�<ݼ8�7��wf_ȅx�*���ӭ��o���΀��@n�K��C
�Q�.v��Y��o86
.s(�~������a5o�a����i�����An����=$�����9��/;��a-��"q�'
-3�B

蛯F;���zJ��4nb;y
���� ͍דz��\5~t�s�|��
Q �Hu�����d
��%ޠ^�{�|RYAmr�Q��0������e�V�8
-s���獰7�o����������g/�~H�8[��t-!n01�Ӹv�
\
-��"ven����I��+�B�M�%��3F��$9�P�_����(B�&eϞ�O�%sNd�d�'�k� B4mT�"K�`�A1�
�u	F� �ٌ�V�^�W��8
-��yLK&D/27�����
�o�{x�c���endstream
+x��Z[o��~?��8/��#���� M�-��H}����d7��J�q�����̐��J�Ӡ�-rwv8;�o���������_�y����
+�|�}yQ�:3
���1���_�B[jB���0���<��p��u��[��q�������F1�\V���}:_��<n���
���5�>���u�6<��-��}��l	�;~9�_��&>
�_K��Z	
�����ab���}˳K��5�}NWAV�Ջ|�ۿX��n��?Ma�"�?k�����:���myk���P��n��Uf ����E9�B��>�3���Ct��w��a�閍{Cϴw�-��
 �V�PkG,�=�4{�t����&)���c�lqRi0%�W��@�/PX�EƂ=~�7���+"C�ԲG߫ml_
MV�~��::lc�GLE�
x�G\��e
�涚��
+q�
���:���!X�n��ox�
Ɩm*��c��t=s�о�
���9|�'}a�j^���&0_�N!qp�bAt�r��ȜQN�9��&����N 4�"�G7�ji;����*(�����'��
Z���ˢ$�̜~Y��*Mu���i�tM�r<�x��
 \�YS�����c��؁BFk$g��e|�o���m��
+I]
��e���;�:^����l�4��3�l��:H������i�ب'����2�؀[�
X���=��=�Xu:F�L��X�"w21
+g��b&
���֦�
.c���9@��f�0V��'�_��3�=�⭷�mFi�^��� ��'&�_ ��N��w�ɕ��k�w�q���+�����6�
LW��e�xaI��
�
+ZRi9�<����|��{�6�
m�3��/�j���{~�_c�����%p��Q�sU>e�f��U.)�Uf��K'�<�7��/G
�y�,t/g�@d���[��y�ENvh�H�:C.	�_x�P#���2�i���y�O���ʺ�ϲ��l�Ϙ���Ϭ��	��;#1��n�(�jvy3�8�8�Q�����Ɔ�%�c��-��2Uܻ%J+��C&0�L�K��$Z
hn���^u���w����s�kq��Ȋg�=��홆�
7��yMu�/oh��CH�])�����Z��?M��q����B���8ܩ�	�#�����.i� fxD���~$�R���:��O
������l�s�lT���H���FqD�!��ih�5�MH�Q%m� ��
�W��mV~A>C��Bڵ����<
+NgO(�h%m�
��_�
�t-+�C%
+�{�
"�����e�N��>��#@�D޻cї��OuX��\��j#�W�t7L��ß$b}El�`C5��mn�AK�{"}˝Ų/U�A�A�����|��
.O5��i���Aux���B��$vB(>iǃ�[�$Pѩ�f�Sr��U��
�۝�nB7������%�g^z��IZ�
H9��q�����Vp2�و�+[�D?J�\�b�T�DRi)z� �L#�؆�
:P��F��X�
WTYY�Q���cW�+�G�q���k^#�ݎ�
0pp]�*�e���r������p��$�ˎ��3�8���mJ+�sQ��Tܗ��;�� ׷�Q�
awpW�M\;����R?��{�-��}��`P�
+�_!����J�;U��8�y��I����׃�Zl���f���
s�A�%ؠ����X�sE �`����}	�x�z�
��e��G=
i��Q��a�@��:�,�y���ծ?�	
tC�'��y�7D�8W�|��ø־&]�K����U�k:x7�2�xV�����Ip�|�dy�@ �rBl���Z�q�Nc Z�i:�i�@��1:!.�dA
��~�
��Ή�}�m���o��5�Kf���N�ڠ,��3Y%Dp at rE'��4Y]Iiq޲��P#�r#�����2��/����7o�e��JPk�j�,�ˆ�1#��
���_�w#�8D�:���!>}>ef_�k;���t�)�������Q'����
�����Rit|[��.���ZC�
��
h�1��c#�THuGI���8�z(��
�������,��m|�����F����rf��+Q��+�����h)��?Q'�sG<���ۑ2�����D�
+
�:_RbU$��
c�پ
��ı5�jI�5��
+w�;�s&�l1�0g����
UQ�'��������P�č���.uzq�-���#�?�,��ʊƫ�J)�PĨ
�tVcu�q�0�7��j��4c�	��"o��)u{�w8�ī@�7_]��f�~endstream
 endobj
-3197 0 obj <<
+3497 0 obj <<
 /Type /Page
-/Contents 3198 0 R
-/Resources 3196 0 R
+/Contents 3498 0 R
+/Resources 3496 0 R
 /MediaBox [0 0 612 792]
-/Parent 3183 0 R
+/Parent 3467 0 R
 >> endobj
-3199 0 obj <<
-/D [3197 0 R /XYZ 72 720 null]
+3499 0 obj <<
+/D [3497 0 R /XYZ 72 720 null]
 >> endobj
-3196 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F78 924 0 R >>
+3496 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3202 0 obj <<
-/Length 2716      
-/Filter /FlateDecode
->>
-stream
-xڽY[o��~ϯ0���&�
/�h�@�Xl�Mv_�>�eK�Z�rl�o��P
gd;@�i8�3�|�:��������R�,������\i)R=�&�^����߾/��4%���JiB��J&�
-~����n�*_��2��$^��j��iRu��.m�t+U$,�Wk��ac�!9
��v��_?��I�������i��7���8"�Cu��z�u�t�~U����%�8���"WkG��x��
�=��)�
]S��J�H��6�n��m�ϩ4
Ѻ���w�����ly�~6��f�|G��P
�m��;z��u}h:�k��	Z����VC�V���,��b��c2�|y����4�Q�(�����u
-�d�$:�#nËY��J�Mds#2+/�m-|���=�p� �6�	��˃�'
f�@�
�(
-p� at���Ѹ7��0���>u�;����
"���Q����ѭp+wܾ�zj6Hc���IMG�k&G���f:��Ȝ~�Mߍ��،��ki�Q��Ƅލ��c��o�q��H+/D^ȳ�0)�P��9r�m��~��_{��ǐ�DH)
�R����
���]�heD�z��F��D�i7��G�槏��J������K�����2�4�G�R���A���]5��G��
,���̅
�W��&�Z
P�
�q"
;�
B%�@{#32�{g�H�qU3� a��t�G����
��
n�
��{h�C��d��0���M��&M^0�S��k?g��t�Rj�"��~8f�s������� 
-��dKT�9d���
+�}�1�q�+��L�/�L��)�2�"�j��R/h��h��P���"�Y��[
-]���ֻ��N�
�&%�3��$L�v`�p5I �=N�Vܽ������7Mp�N�͘�C>�����G[�(�&�}̲�BMi*r0|
��f�6� ���b���b�gi��aG]�N
b�HMe��3�^��v���2E3���a�%�Q��{�6���
Y9Čm.�T
�����]YQr�
�
m.�
�
-����������-ʅ����[���+
7�C9�Vf��+v
�,E��0��y��~���;�h.
�\�ӘӍ�eu�n���~�
��f*�
�
T�ʨ���A`B Y�8��H�|�EȊ������ȳ�]�QaT�
۪#��#8�/h5
%¦�"5� "��x,���Y
����<��m�
%E>�%<��
�\�
ߑ<Y�mb�9lx幼`7�g02]��bN}�ڌ��T��o�;$oFZ���5��,3v�g��)7Ӆ�;4�(��	Q_���B�d
!�q�|i��x���JM�t"i �)��ۊ7MG�.Q�^]?9���e�z���stE&S쁱1�1"�֓�����
-p�Z���gB#+E���3B��ˠ��맠����N'u�
��0w����s�'��G��*[��X�5�o�X��
z�
H�:
�g�r, H0ʹ���!�p
-�|^��(	�����\��%��,?snv�'�X2�O�4h�uF�	���rH�N���Ԙm+�9v��[�ߎ�ƣ���c�l�	r�R%h��
 TZs�2 ��8 !d�c�
 T���g � ���0^{�'�a���^Y(
qE
=�КK\��
���
�z<
-�I
�(t���1T�HXa����
-��D�c8���������jN�B�@�[�s��KMv�?�ؽj]Ư(:�r� �S�Pm�o8�9W `�]s?�ٽ���:��+�[�dw:]��2��YGa�t��D�>�MQr��`��w�l���w
���uS���
F U򏣯&�۴�m�~��Jz�\#6O������O��z����J�����6褳��0MjE݋:X���\�J��P̄��~����S K�oC�=����� ��E��"hV� [r���wq^@(H���������"
��u~
@H�A*1�-���̫��C�zQ04#@�p4�^& ��,�Ya�~��/׵
-����>�ý��.g���AM�w
-QG�V|rPo�~o<��x
-���t�緘q��@�f�(TXV$�ro�ɜ?4'H��;�����3P�Nb@�4��/���"On�7�#$���ڟ+�(�\c}�"`.q5�,�ݣ�w
�7�Y����U��#*f�%��!���%�s�}�L�CQ�=K
���A��_��d�'��?wQ6G�*�B7����L�i�s���Q�Hm�h�h��g���^�
GT�-�紩�;��Ǚ�ʳ�i�2r׌X
�
ou�ftŃ�x��5�o��(U���#��n.��������s�~.�Q�b�,f�\��9t�7�d�t���J��N�'8���ʿ/����g��X���e���UC�%
^�H]uQ��(�+i�B�R-�G�of�A�rf����
_e����%8�W�C�W�e7
���(��mT&��d���
-+���TO�h����\���3��m�|�q����g����N�C���THy��(I�<
-~Xũ�:$
�_����:PG%
^x�A! :}��'����	�����~S��'2k�u�
 �K9
-� �C�7XP�����@��
-�us^�AB��d](����#�F�D��D���ɫ�F"�IA��-
ޥ��
-��bk^*)y�]�#4J��:9!#]�a����	��[637�3�T��wm�^e�`�J�<k��F9Ru�ͻOo�
��e�endstream
+3502 0 obj <<
+/Length 2609      
+/Filter /FlateDecode
+>>
+stream
+x��Z[�ۺ~ϯX�/v��o"y�>�@��h�fۗ��-��ݜ�����;C)J�$;M�>Ȗ��e��\��޼��-��s派�9��bJ�W���Rд������E�
+����<E����
��<Gx>��Of.�@k&+E����Z����t�\
��jn��	{�Wz��덨S.x4��4��ޑ��	?��O���]��
�b�M-���ڊU6�� /��
1�!I#�q�Ս��jG���u�
nB[��LL�q��W�ه�)�a	LU�C����p�M��Y�}"Ny�6�6�͉���>
/��'
]s��
��Z��[wӶ�~a�
����ӷMƂUV
w�Ģ�5���h�C�� fǴt4KNi1�j�f�r��s�:y��8�
�}���z2
�c^�Y�z�
+����w<	�R��*��]��#(}"�8a��Z�
��	��=��.h�k!>9
q�u�Rv����؉�Ԫ�L�`I�a���Aސ��pǔ�g�x�^@|���C\���X�6L��0�ʡ
��i�m_r���Z~O<6���
���	�{�����)�I(�-��P�M3
x
o�����nbBY1�T�+�g��9���;|�,O�r�sG.I������14.+�Y%�
P���Bu@���j��r���9K���Z�tC��M����~�������ɒ����4Ǵ'8
Zv$ץ�VU������o"Yn���93
�������>PN��6���G�>8+?(۶���b��gP�;�:|���q��
��O*c�Y3��o7����p�j&�)?��Y
�
+^r�-	ង�X:`��c,W2ᬉ$���O���0�/��@sȦ�]&t�}
1��]�Kg����G;E&������D���<��#
[/  ��/�G��K�W������4��v ��# sf��}��%���kfk�y{�8؍)o�}%o/�����bZ�����=o�L�z{�L���0ϼ��hoe"Ə�y��mp��Z�kُ���
+�a��}�e����@
+<AQ�?D��
A����U��A�rtjtzt�����X �*�N�%Щ����ΦC��=�E?���D�
��v��
P��S[���RR��K��Up�zۤ���dR�Y�^�p��\�����@�P����Ndt0��L�~���Wq�%�֫�\bZ�~��@�0�;����8#�"M�^�Tyۗݶa��b����	2����s'
+�&��w�l^����C�n����<��J�`�6��U"��
��u/኱?XL�J�JJ5 ,;��h(
O'K��pr�p���R�@���
+d
�)�W�X��nJ"�5V��K#�
fF���ҥ
VT`vN��4�rG�(���6��6f�.�fw�
�63~@3��a7/�Nt�"=�1�R��b�����t�����2������?��+֞�8IG�R�4~�!��a
tgz�Cg�֋Y�I�<M�9�}�Q�T��«��&TE�Yÿ��@�P��LU��rVU��kɬ����:�r�q�� �cy߇�
h��e�lF��N�$B
-cEzY��f�F�R%�p�€��si�G�"���uw�e�x�MV�VEW�&�q)*0�a�h����@
+�xnH��{y&�j��.�/g������EEv쥍
���|€eB��-1O�����C��>t᧏ظ���}��%�}G
o�t=�g:�h��'N�v���Y�>F
+#3
z/l4:�Is�i�O>�ZHv�U
��٬�����̠��3c)�1����l�}�V�Rhúm�Qԯ��
&��
+
��*�LO�]ܻI�.D"��g��_�����Ƀ����+���w��<����^=q�r����ׅ4�+Uv�q�$�R]J�R��5�l�{�V��1��ݭ
�/��ø����|6�*�I=�
��]����DAFS
�"|�㺥
=���W(�j��۠h���_�G.� z�C�תsͳ;�T/w)��N�7
;���M�<�M�J���,h+_������
���,ʍ���]���J�4��g�
]�����hx%`E��=���F�N���S�e{&�)
k�S�Gc��E�aq̱�M�X�{T�	��1�<�
���32���"��������`����quvu�w,�x�P��T*��|���f���f;@m:6���y�(�-��8ޮ��������
�����%g\K�ț�����y8
��\Ǭ�3�*d����µ��v����/q�5O`#U��,�0|0����
7LVn�Z��G.�� �r�R at Q
��m�Ҝ����r�QJ�
$�[�����Cc�ЋM�Q�
�ؖ�fd�CVi���W˨x����gٝG����ci�.�$ӳ���P�i}ODw����d�G_�+_;�و�/1?���g��w�kа��>X6F�q�Sv����L�]�CPЗ���ь��K�$�=���~�ޑn3�
+uc$�LE��9��(2C!����-�A�)�黧K/
ʳ\Z��4�jS`�lN��«�u��P��6S��j
�}�O�9��$jP�|	���H���ͫ�D
Bendstream
 endobj
-3201 0 obj <<
+3501 0 obj <<
 /Type /Page
-/Contents 3202 0 R
-/Resources 3200 0 R
+/Contents 3502 0 R
+/Resources 3500 0 R
 /MediaBox [0 0 612 792]
-/Parent 3183 0 R
+/Parent 3505 0 R
 >> endobj
-3203 0 obj <<
-/D [3201 0 R /XYZ 72 720 null]
+3503 0 obj <<
+/D [3501 0 R /XYZ 72 720 null]
 >> endobj
-3204 0 obj <<
-/D [3201 0 R /XYZ 72 241.918 null]
+3504 0 obj <<
+/D [3501 0 R /XYZ 72 241.955 null]
 >> endobj
-3200 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R >>
+3500 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3207 0 obj <<
-/Length 1520      
+3508 0 obj <<
+/Length 1379      
 /Filter /FlateDecode
 >>
 stream
-x��X�n�F��W�EF=\E*�

�
2���!�
(�%��"[��WՔز�����^�k}����o��D΅�Y^�Wn4Ua�_DN��������d��
=���=�r<	�`�n�h���5=ߎ��x�\L�@��E,5-l�GR��~����N�����S^4�l�{�ȡ�yÈ
��t�)h�
��#�y+SM�1�x�M����
-��⸢�E6=��i�� �
+@�bZ
�UM���7W�����5$�{��V�B�B������כ��\O�N`������< C<���xǝ���E4H�
:��
�P����t�"�e�Q��(
OȤ�K#��dI?�k�|�
-/�
�n#aUW����N�tL���Jy���we-��Q��<[+�ۍTک�S5�b
�]ҳ*�l�k�J�
-G�l7Crq&��m
,�"�Dj
U����ݘ��~	�hh���Zn���)�U�`�#�P3ףpp>ug"E;�(2;�r)�Ӫ���r�>�JY���D1���CG�Al%�n�9m(#�80W�6��B��"�lBz?l�>hA�Cn����dY�2`�gɄ~��I���e�i�R0bOg�"ל�j<�bgt�R/9
��vc
��9� �(��
f��J�RgՕ�8ԋ�Qװ�_1���x�x���k
�EJ�J��B@���ğa�bgj��7Km`�V����A��y1�u"����oR�_q(Ϛ���;�ry>	"_n��ǥ����>�|�+g�g�:#nL)���a�lR��i��/�w&\�탅	�W
���Yk��
��
4<ED�
�8>J�\B&��T_1t�(�gڀ�#�4l�N%{���KT+loK�	츔n9�U໖�;�`ui��qT�Ӄ��TBѝ(�tLh���d��hY*{��'Q��F��
-*q�0 r7m��48����K)�i�����s�����>]����o?����8�9s�o8DI�~H�7U���m���vw�F�	z7~�2�;v{�6�g���$G�L��qD�\+���i��]h�A0��Mˊi1�cXR
ޤ"�̹C����4���{�u�"�.�HN-L%��U�
��׋�+q�aҘ��f�vm��sj�_�١
)��!�{q�pEd�='�>a��`f�
��?y�?��	��n8$�A��hf�!�u�?RЛq�	�B���
��wy�1�*
�9>�`��*���RU�FC�E{�1W��Fo��A���Dɗ��
�]�p�J�|������7��XZ�J�6[^�ˬ\ہМb�i�B�󡣣�^�����2��9QA�ݷgX��u�Qty��}$�X�+�Nv�7�2�1�
h
���|��A�){0Gb��W�ߩ��=�p�� �ۧ�#|��|u�Z��ܙХӃoN��I `U�`=c����<'yǀ�κ�.9�}��_j�����������h�}G�Y�Eg��p
>�!z~@[��?G��)�@CI#�Ͽ1���ĝ��2���
��^�O@���xQ�z�R�</T�G��#��>Būo��o��m�'endstream
+x��XK��6��0܋
ԌH���!b�E� Y��6=he�kįZ�n������P$e��v�́�D���7�ar�j�E���qܛ�z<MX���4�X���A3��
F
�5�%�
�'��p�pp�
c���
�70�
�9���F<bQ� �)�����N�}'���՜�1Gf�\0���m�F��<��בz�X�Q�*��
+��9W�H��}s"�'g���Vk�<�"Oh[./�$�
m�#��'G�Ӕ�j��
+���Y��=�Q;����q�?r��fMĂ%P9RH�V�p�D��
i.�]˅x��+���)��L���m��w����20ro�'.V�}�gK�К
���ZF�{�#�V�.w��ˡH��,����iAdD�{��B��!y���5�/��� qaO u�lAʅ�!i��
�����qǭ�N@ �--I~zO�8y4Ǝ��퍞��Q��|�������'��!0tj�=aD�
"*� S%F�{�d5�ځ���
��
�%B8i�U�
!�Z�
E��#�Y�DHY���L�JET6�\��wH��.�I�F-�z����*]X�5֖U��!i�arO{�\��(�2L��+��
:������ވ2H'0��Ў_E�ju]���H��[��(O�
[
+�Gb��2WW��W㌥�v�I��b!�����̊
�od��:�[Q�\�	Y�E�BY�("~�ѸƠ����6���iȢ8��T�������.Q�
�F��=�����s	�k��Sv���|T�HL)�#5�s�Ά��A�p���V�����B����t�C��:F�sO��{��qw\�!��Uo_�}+ON�[ �g
�c�G18y�9" W���Bt�l-pv^5y�_d���V���4�ߨ�;BG���U�Yi ����:����d	��y�h�y�|3�`�����%\���.�@Gݸs9>�99��v�[���0H�~�~�7OP5���H�Ֆ��N"��1Va�������,�_�׺�>�k �{S:��3ڡA~�a���d'n��G;�/�
�]n�Q}ݍex�XZxM����|ڵ ��2�T�C`;)�QM������WI�
���/Ŧ��*lq�釀��jj9��:�@-�}�S��Z_k�Q�{<�"�6XS�cu檑4:ٜ6��Fnj*W�-
��������"��7� [...]
+E�ЯQ�﹈���f#7��G��i�h\�Ac_|��=�>}\j�PY8G�l|2�|Q����D�ί��I�vU���t�������'!����|5|:P�N��BH@�L:�/�*+,��4v��YQ[��dA~п�
�盤q/���A��S����|6�`�����yo��PR��l�������_5
�endstream
 endobj
-3206 0 obj <<
+3507 0 obj <<
 /Type /Page
-/Contents 3207 0 R
-/Resources 3205 0 R
+/Contents 3508 0 R
+/Resources 3506 0 R
 /MediaBox [0 0 612 792]
-/Parent 3183 0 R
-/Annots [ 3209 0 R 3210 0 R ]
+/Parent 3505 0 R
+/Annots [ 3510 0 R 3511 0 R ]
 >> endobj
-3209 0 obj <<
+3510 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [132.785 608.086 158.84 620.706]
+/Rect [132.704 608.092 158.714 620.635]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.1.2) >>
 >> endobj
-3210 0 obj <<
+3511 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [132.785 313.69 158.84 326.31]
+/Rect [132.704 313.696 158.714 326.239]
 /Subtype /Link
 /A << /S /GoTo /D (subsection.8.1.3) >>
 >> endobj
-3208 0 obj <<
-/D [3206 0 R /XYZ 72 720 null]
+3509 0 obj <<
+/D [3507 0 R /XYZ 72 720 null]
 >> endobj
-3205 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R >>
+3506 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3213 0 obj <<
-/Length 428       
+3514 0 obj <<
+/Length 446       
 /Filter /FlateDecode
 >>
 stream
-xڝR�n�0
��+t���)[R���[���
��^�&va�	���$Ko�v0�(R�{�oW�c"��Rl[aIX�@����צ�rm���P�G6}�}��zc��%�P�r�p�P�D2��V�B͵���ﲜ�J�~m��(��;Y1��3r򔑕�p��9]�����99�]3�T�͝�����uåǧ��?�m��Ճ*���(�{;u�ρU?<�����wK�+h.��
clކ�lS�t�0��5��\^$/
�EǏR@�ܿ?�&#Q3(��2�|��������Z������=��P�fisrXkE�Ц������L3�J��q:�����L����~����%����]�5�L���1Ǿ���W	�9Puu��� ��wq�㩕7{[�|�)�J B��� RzG��B!��ݮ~�n��endstream
+xڽSMO�0
��W�"�i�# @|H
�
8�����F���8��:T�������l���ޱ1�0FM��Vx^�
<���i��z'�3#�q�p-���:Ӂ��ʕ"P���{F��Fy�&~�k���;O�F�f9/��hZҾ��.2�#~�%Z?ؿY��xZ�>&Z�U
m
� �PZ��j������
�r�v�k׍v�~f$]_*[��]��FR^g��=��I�:�H��f��D
xCX���ΖCE�
���Y���
�ӫ���E	
+��9���oͷ���e�L�C��9�
fTq�~P�v�n(z���mk�rX/ �[�Cc��[��|���up�H,�5w����#�
Q�ӾH�o��sҧ�I���%g<�YEW��m��t<�Ј����>�~O�+�yF�	�� p
+���%�5�i�����
�&_�endstream
 endobj
-3212 0 obj <<
+3513 0 obj <<
 /Type /Page
-/Contents 3213 0 R
-/Resources 3211 0 R
+/Contents 3514 0 R
+/Resources 3512 0 R
 /MediaBox [0 0 612 792]
-/Parent 3219 0 R
-/Annots [ 3216 0 R 3217 0 R ]
+/Parent 3505 0 R
+/Annots [ 3517 0 R 3518 0 R ]
 >> endobj
-3216 0 obj <<
+3517 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [139.939 682.225 147.784 695.176]
+/Rect [139.888 682.238 147.726 695.181]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-3217 0 obj <<
+3518 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 657.817 164.043 670.768]
+/Rect [141.179 657.829 163.949 670.773]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.5) >>
 >> endobj
-3214 0 obj <<
-/D [3212 0 R /XYZ 72 720 null]
+3515 0 obj <<
+/D [3513 0 R /XYZ 72 720 null]
 >> endobj
-3215 0 obj <<
-/D [3212 0 R /XYZ 72 700.324 null]
+3516 0 obj <<
+/D [3513 0 R /XYZ 72 700.334 null]
 >> endobj
-3218 0 obj <<
-/D [3212 0 R /XYZ 72 622.574 null]
+3519 0 obj <<
+/D [3513 0 R /XYZ 72 622.616 null]
 >> endobj
-3211 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R >>
+3512 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3222 0 obj <<
-/Length 1388      
+3522 0 obj <<
+/Length 1391      
 /Filter /FlateDecode
 >>
 stream
-xڝWIw�6��W�H�g"�577��6}/���=0h#�R^��;�$ʁ�Q�:�7�
�>{w�+^0���u�*ĪHJ��0��
q����wY$���dEU���a�F��c�
6t����r'ޯ�,I�xDՃ�C��XY�����0�
�P�v�}=>���}
�8�2+(�R�L�X�L�d��j
�h�3��7����!��
	
�ýx��N
\��#$˳�e��&��񀀂3^pw��
ͬA�XT"jP?���K
/��pI�����4���ҌQ�FM��CZw���n���_9�!CҔ���E��ӯ��,˅?��P�4��S�ZY5��px�2c "� *��)=4�ncM+��Ὲ�M��F�a
�ٮ�֏�A�z����Y�2�_�#�x�|m�1I ��lƒ��ƚ�߯����h|6`*
@gX��E��6�F?
쁉eT^1
�������N�R���# �Bߪi�K�ҙs`�ITv�"���h<+�OnS3R��
�4�i���ݏ���-��h�E�w�!F��oTG��ԽB�LRDNA�8Ӗ��9��y��r�ȣ��:
t��<e@��%�P���9	��y)��/��vt�s5���-
�����a4&"1;3���:^�
�c�-x�$��%�	|LD��z֒۠֏�Y�Ew
!"0�z��7GJ$G�/��w+Rbr
-��
/�u���<	Q�@e��O 6�d)ܷ/I�̼;�%��7-r�T�,�T�r/u4>�����1�`:ψ
žt�6��|׳�w �`6�T at N L�?}�`2I_�
�i���i�v{�y�t�'	Qv�ʢ��2�����KY\����.
-�R����y� ��+��C��7��
�
-�F��8������~%$�d:�T9�R�߿���"ڠ2
-]������
�����8��%��������=`��h</!	e?�3��a"
��ȣʶ��S�5��j4���z
-t��@��MG��*4�#��w
�N�P�Vk*k�&�!}�X��MbW���>z(��A^�Hݑ3eY��wf �;�9���c;�=Ķ�ҲQ��qU4D��S�2#�L��ʄa2ͩu8`
-�
�jl��"� �]��N�����>�^���x�_ 

Υ�ֳ�%
�@���#��CЅx�A����
*�Ũ�l���8�
��:�[g
��yZ�%u{ȼ���"g �
-&�T����>B�+�
��5�bqZ1����Ts�{�L�WQϴ�蘦�^�7����.?�`�R���cz��-
��C���q~�R}��]���:�я߮7��i��'
P㷾֮���{�D�����ϝ��΄?p��ܻ�a�r]�'6ԟ�8k�E����N[3W�"���>�2"
��
��~�>�PH�endstream
+xڭXIw�F
��W�H�N9��ܴ钾���^�
d���J��(�q~}1 �
J����`�o��~
]��QJ3��P�F�A�EV������De��p��?��A^偼բ�� C�%H���Qñ`Mw����B�J�d
���+�c�9w?��T&�>��M܋
'��wn�'��),��m�Rsv�1pB�ʢ��Z�LR�
�W��Ou��<��PU`!U%�-Pu�aw��rJ���g&���ft��e
)���f[֛�MU�C

PĬ��c:-X����
+��"A�{����陵x�e�O�5��Yt�as�|����
��-�}'
��Q���D
+F�.-�ԐF�����q���
��J&+8�I}����8��q�J\aͼ�3��@@u't09�u��
Jj�F�1.M�̪�)����,�硵l��
{H� PG%(�%?�2_ɺG�h����e�ۨ7�M	�M����L��Z�3PҐP�>Q�n�W�gR"�Q.oX�#2�4�"_������F���rv"��
xxK��swAOg~Y���\�h����qg�B���2-
"��D�l2�Q_���}̻܈<�o'-2�����w
��-V�l��=�i�0y�ٿ�O�s(
��
)nhcܻޖ�Lj�I�h?��*%�3

��x��4鍱
#��Nv�^��qC���i�$����3�9x�8�K"Uv�aU�
L�b�to�̢�*E�&I��~:�Rm�QD��M:���
ow�OK<o�J��n�ӌ�a��
�2�e�񦗠2I}�ݳ�ghocdVv�,)���
+���T������b
�2��e'w��9�t3����H6
H{��Np\%�ҏ��*U�YizE����l74��5�L�7l[7'��kB#
�<�̾�k�"��Q�^��˛�����k5oŒך����@Q���E�[���PO)�n�
+���M�P`�4�\^(��b������ Lo� M�
���qNksh�sֹ
zkT�
?�h�!�����!"���L�
��#��<�ឡ	g��ߺ-����=
+�u�y���٦ͺ%�I=
��(�RB\�;.�v����D��w�� �Ð�ɗz�?�@���ƿf���M�! ԧ�<�=&���d��O�A<�E`�m�I|t�e��8<OU�P��I�
�7G�(�j/�2���3g�1S�4hΡ{�0J�B���ߢ.ڧv��y��"�
U�t8����
�O�kN�ݹp���� f��I�
Ko~���g�_^������fA�eo�	��[_=��F�Cs����-ç0�mP<
�TwۍO���''�8*��2��/�y���=��?�m�e>_j�m��W��m'��v���a��p���^�� !p�����q�������e�D�~
]��;Γendstream
 endobj
-3221 0 obj <<
+3521 0 obj <<
 /Type /Page
-/Contents 3222 0 R
-/Resources 3220 0 R
+/Contents 3522 0 R
+/Resources 3520 0 R
 /MediaBox [0 0 612 792]
-/Parent 3219 0 R
-/Annots [ 3229 0 R ]
+/Parent 3505 0 R
+/Annots [ 3529 0 R ]
 >> endobj
-3229 0 obj <<
+3529 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 265.405 149.085 275.699]
+/Rect [141.179 265.558 149.018 275.782]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-3223 0 obj <<
-/D [3221 0 R /XYZ 72 720 null]
+3523 0 obj <<
+/D [3521 0 R /XYZ 72 720 null]
 >> endobj
-478 0 obj <<
-/D [3221 0 R /XYZ 72 720 null]
+474 0 obj <<
+/D [3521 0 R /XYZ 72 720 null]
 >> endobj
-3224 0 obj <<
-/D [3221 0 R /XYZ 72 671.714 null]
+3524 0 obj <<
+/D [3521 0 R /XYZ 72 671.745 null]
 >> endobj
-3225 0 obj <<
-/D [3221 0 R /XYZ 72 575.035 null]
+3525 0 obj <<
+/D [3521 0 R /XYZ 72 575.098 null]
 >> endobj
-3226 0 obj <<
-/D [3221 0 R /XYZ 72 521.694 null]
+3526 0 obj <<
+/D [3521 0 R /XYZ 72 521.789 null]
 >> endobj
-3227 0 obj <<
-/D [3221 0 R /XYZ 72 443.944 null]
+3527 0 obj <<
+/D [3521 0 R /XYZ 72 444.07 null]
 >> endobj
-3228 0 obj <<
-/D [3221 0 R /XYZ 72 280.847 null]
+3528 0 obj <<
+/D [3521 0 R /XYZ 72 281 null]
 >> endobj
-3230 0 obj <<
-/D [3221 0 R /XYZ 72 227.505 null]
+3530 0 obj <<
+/D [3521 0 R /XYZ 72 227.691 null]
 >> endobj
-3220 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3520 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3233 0 obj <<
-/Length 1976      
-/Filter /FlateDecode
->>
-stream
-xڭXIs�6��Wxr��Bl�i�$�i'�
��R�@K��)E*\���޷ �h�K�^
�������^��ܙtBI{v�9s�̥�H
|��J�^�D���翿|�ғ�V
W�g)m۶�m����J��z��#���j��Lkr�tNH�b?/�E�&oo��¡j�K�L2\{���Bj㛅�ɗ��
m�D�g�Hl��(d���N��|��p���h��?A��Fj^޴Hs��F�<r
T-q�
*X�L������I'V
�Hl�m���NH�pX		d���}أ�0F>�h4RP4*�}��F����H!s薛�ws���:l��e

-����1��+�VF��a���
-Ղ}9x\*�8���P�M�Vn�.���8��3l=�]e�pʁ���
_��R���m�ZeI��P.��T��
������B��%/���4��~�y�۠y�t[� XhƇ�4��1��7-of�1u�ǃ�/���H�$k�m��a��V���W^� +�޿?�BL\��^uW�y`�� W~�N�l"ۅ��`�R<**[��ﺟ�"��1�m�rj9� �Y������m٤�
c�F�(}�L�;W(���s��LB���
�����5�#q�ng�͕P����̜�\dY̘eiR+2
!�9(͟l��w�BY���d]�������j�+18Ķ
��[�5OBԺC��y��WǞ��0�gR�-D���8׬�4���&(�x��B��d�\{R$M���CUe�<J
����5(B���2y�@�tK����?۰����@J8���4P
��I!
�y�������U��.A
�R��
���v�7K�Y<
��+
-�|���n��cfn���"D�X�y���Y0���GY�o�Su���!UB�@�\e����Dt�t�ʤy
���'8���1+�n��pU;������P�4��P�>f��V�Lt~<H���~<
T
-p����xJ4`&Y�� Y��$(T���weߓc�,;kT� ����ȋV7�M
ι �!����6�����?F$�Cw@���0�}�P%G�9eE�sp
Lł�{
K
��>6
�]��0_��z��~�ӫ�q�$4��Z�7��B��㠾:Ј|
q
}��
�٦��'�O'�l�pZ1�$��ن�}{�0Z�:� �v�02s0	Hf�`<���(�J^����$a�໶UO
�4�nj��"��X�ëY�:�A�}��
Y:�>�mQ7�
����P0���_�C����o���P���8-wP`p��>�(�e�ûP+�s���
&�K�0~�
�k2?.�b�
TmL�怡B���n�x^�Z�;��2V+>
])$	�L��R9U
�D$��X5�j} �O
�AU )#n��-��>
�py�����4
�W���C|*r4rl�ilYP!W�:P��[�7��v3�7�S����~�ԩC�(����ݴQ��i����Y�-��11S�r�p��S��g�%��‣����/�L�
-t��P(��,5�
ۮ�",V�]AѸ�6���j;�@���y
��;���CVDz؄�7���mU��J��E� q����%�P1~�xc
-�O`)(9�*HW�Ќ5�~���©��1�����ܲ��G��)�!~���e�c��D�{��vtb����a�珟��^a(a~
&�C�Ѯ�@�5Qj�������ɗ�ڣ7E�aJ�{�E��‡���
��el�i�_
-�->0�@0�'<�D��BlQ�F �^KA0<?�3�$�7S��f�K�:b4�����q?��4�����cլ����
�o��^�j�i>ױ���T�p���ЪX1�E��
-�ɜ�[����Xk��~�o\����e��9Ŵ�z;V؉�e
��Y�Ml���beM6��jU
�O����
�V�1W
�IZ�����
������������CG��!���/>[J�ݦpW
�W�����g�ml�.endstream
+3533 0 obj <<
+/Length 1946      
+/Filter /FlateDecode
+>>
+stream
+x���r�6���$M#o����Lҙv:�!N/u�Dښʲj�n|�w�X��J����Hb���Ko.^��A}&
+&�9�h�
+yV�q
o��'b*&
+��?.~xi#x�Xa�G�[�����U�Z���=�9�[�c��@p;X+X[z�鶄:QXV���v:Ӫ���H����ks=�I]��M=�	i&�B�z3Ub�HP�D�I�-w��p6
WΤ`�(��;�i�
+
���|��dY������#�JN
�H_� 4�֌�8��I[�
o�ֱr�2	
!�
��"
�J&L�G?�u�� �-������D�>�Jf���
��!��tL�vK�8�ڈ����
�x!���IV
D��͉��}t(qoI�w��S�J��
��hb=�T��_$:�z�ӑ��g�Ф)YUV`q�im;I])�`W�⑥�TYv���B��Kd���Lj2w��m���=,I҃�5�ow�=��L ��p��;ت`�
+9|���� k1���������
+�^NgF�=��>פ�����_>���3��%6��D~_;��
Ei�j�N|�`�&⺔��
+O�6���b`nqV���g/
 �]t[m�rU1	$y
+�OP�y�
+�����^

+;BvO^
��	��6GT	���-
z���YN�3�
�tʆ���ӕ����n�gʬ~�"c'�(2��|�� 5�8����礣u6X
be. :M�i��eS1�����"�R	RDy�"���I�%��DZ�
+�� #���md�w$X/Q ѓ�T(��~u����H������#ytZ��>/ ���}�-��u�p��k���ęn�C:�gxo�f�3ih����7t�(���O�
�w������4�
.�?Q,��.T|Rg�Q�wĔ����{i�{������v�XٕLi��;w��Q�l#2�=A(;�y��ԫ
U��.�Ntq�W7Q�$��@W%e��@PW?s
�\A��>=�5�	q@�8���Ax��s!Jw��ĵ��m���&���T��>"�5����
BVЖ��?�(ז"�0u�8�ۇ���~�V�����=�P]��dEd��s��r_�x�����-�p����A�7
�NP$�':�
2�We5
+AOK�6q�pm��HG�0�m�zn�
��	��7
+�J�ڋ�A���eN���n	�<�,���U��+<
�]]�q�y��l�	�
7���������2��(��κ�aR�ҽ��A]�'1��B4*t�X3�(�_4̖j2dp
��z�6
&�~|�c�� ��x�FAs��
i�%�JG趸���KpH���
+
�v;�%f7�/=p�Y(�KO�Q�u��Z�B	��
�<�~s�'��
.ˁ_9]�2��q��D�>uQ�)���zK���m�ց��~+	]p�u�q6=I��֜Ԗ{q	p��
�Új4&�%(\_����W�4T��VO�0X
�c�lp�F����'�>>��@�v�ٍ��b��QѨkNy��)�
+i��0�ٲ���&����M��2���+�8�"q���$1>��R�P��T..7s-�
s�
+�!
+�IE=�y�Y%�O׹fV�n8ȣ�K�aq}d�8�S���uJ?�ِD���
)� e�������B��=R�#InJ�
� >v�0�SW���Ο���,hǷ���t�����.j���E|����
+"s�1
-:�=��3��!��B
�
R�	sٺ��S<�='�sZ{�hYE�
hZ�먻:�yO3����##&o	4;l���E?�q�;�/��|7�>��
*`�z��59n��
TH�x��
AO��'U�$��V��R�xdtl
+�?��Xk�
�

K_�hQ���zb�V/�:��}�!ܕ������Z�nΔ�}XP_��8
կ�>^�>��
�^�N���Ne���>�:9�l�XQ��
���:L_X��XA�%���������i�����.^�
hK)�endstream
 endobj
-3232 0 obj <<
+3532 0 obj <<
 /Type /Page
-/Contents 3233 0 R
-/Resources 3231 0 R
+/Contents 3533 0 R
+/Resources 3531 0 R
 /MediaBox [0 0 612 792]
-/Parent 3219 0 R
+/Parent 3505 0 R
 >> endobj
-3234 0 obj <<
-/D [3232 0 R /XYZ 72 720 null]
+3534 0 obj <<
+/D [3532 0 R /XYZ 72 720 null]
 >> endobj
-482 0 obj <<
-/D [3232 0 R /XYZ 72 720 null]
+478 0 obj <<
+/D [3532 0 R /XYZ 72 720 null]
 >> endobj
-3235 0 obj <<
-/D [3232 0 R /XYZ 72 649.797 null]
+3535 0 obj <<
+/D [3532 0 R /XYZ 72 649.828 null]
 >> endobj
-3236 0 obj <<
-/D [3232 0 R /XYZ 72 582.009 null]
+3536 0 obj <<
+/D [3532 0 R /XYZ 72 582.072 null]
 >> endobj
-3237 0 obj <<
-/D [3232 0 R /XYZ 72 528.667 null]
+3537 0 obj <<
+/D [3532 0 R /XYZ 72 528.762 null]
 >> endobj
-3238 0 obj <<
-/D [3232 0 R /XYZ 72 373.209 null]
+3538 0 obj <<
+/D [3532 0 R /XYZ 72 373.336 null]
 >> endobj
-3239 0 obj <<
-/D [3232 0 R /XYZ 72 218.746 null]
+3539 0 obj <<
+/D [3532 0 R /XYZ 72 218.905 null]
 >> endobj
-3231 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3531 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3242 0 obj <<
-/Length 350       
+3542 0 obj <<
+/Length 374       
 /Filter /FlateDecode
 >>
 stream
-xڝ�=O�0���
-���]�]��XEP$�Q��8ԢMP>����s��J�X��|_��nד�2�
@̍a�YŬtB��*ޒW�S�m�,RH�-
u��~�.�;K+LƸR�X��(����@V&���.��WYk
CFY7cy��4vqc�w��M�X

�>R�i$
-��
-,���Fܙ�I�?\'�9��ID�H֩r�1E�#>�3:J��v�
��7<T1��MklS
�"���p5*3�k`iEw��VC�
-vC��w��n��&/�����k�%��C
nH>�
-�o���*T���e�!'��!y?:� �L
���~����p�v�
ØL)\�ƍ�(ڊ
1�?�_O� ���endstream
+xڥR�N�@
��+��HdY�#�cAA�8���"h�������nh"����>��{���� �pN,�i��\*���9z��81���1D�
�6~Y�c�-��I��Dk	.�ܥ�z�)'��G�z��o��m��v��`H
��ޅ�:
P�FZ��/D���j��҄t��8G�]*���yK
+�� �YiU�wy�#g�.O�m���H��DO�M�)�5~I%��+o�Z�9I�tHA>j�ª���h��.�N�H
�a�&���`�
q�
�}?�3mP��0'\G�>؍Wy��'�
o���܏�Ͻ~��N��0�vГ�_=��	]��ogq�}���	9д��V��-�
�
+�����3�o�ޫ�"br���v�Qendstream
 endobj
-3241 0 obj <<
+3541 0 obj <<
 /Type /Page
-/Contents 3242 0 R
-/Resources 3240 0 R
+/Contents 3542 0 R
+/Resources 3540 0 R
 /MediaBox [0 0 612 792]
-/Parent 3219 0 R
-/Annots [ 3245 0 R 3246 0 R ]
+/Parent 3505 0 R
+/Annots [ 3545 0 R 3546 0 R ]
 >> endobj
-3245 0 obj <<
+3545 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 682.225 164.043 695.176]
+/Rect [141.179 682.238 163.949 695.181]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.5) >>
 >> endobj
-3246 0 obj <<
+3546 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 660.473 158.19 670.768]
+/Rect [141.179 660.483 158.103 670.707]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.1) >>
 >> endobj
-3243 0 obj <<
-/D [3241 0 R /XYZ 72 720 null]
+3543 0 obj <<
+/D [3541 0 R /XYZ 72 720 null]
 >> endobj
-3244 0 obj <<
-/D [3241 0 R /XYZ 72 700.324 null]
+3544 0 obj <<
+/D [3541 0 R /XYZ 72 700.334 null]
 >> endobj
-3247 0 obj <<
-/D [3241 0 R /XYZ 72 622.574 null]
+3547 0 obj <<
+/D [3541 0 R /XYZ 72 622.616 null]
 >> endobj
-3240 0 obj <<
-/Font << /F67 564 0 R /F78 924 0 R /F26 548 0 R /F70 642 0 R >>
+3540 0 obj <<
+/Font << /F114 560 0 R /F149 920 0 R /F29 544 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3250 0 obj <<
-/Length 1945      
+3550 0 obj <<
+/Length 1879      
 /Filter /FlateDecode
 >>
 stream
-xڭXI��6��W
�$cF\$RzH�h�@;ɥ�Ac�c��"ɳ��o!ei�z�����H~�{�~��]a/�J���
�.l�Df���#�:��0���_���hb��-�EF�6;����g-6�[���6���54{�P��ɮ�"ӹ��*��Lޤ3��]�n����Y²[�� #0i�k��I�
-��p��Y�:SR�ґ컴�I�6$�Ng��$uM�칆~w<%,��3�*�r
�Z���y�-���w�e���`����]}Dv����=�,�<xd����s�g�'#{KcDV��e_���
�u�'�+�
oW�%�	�����6+�p�
=����j�
��c���$mq�%��<�]" ���*�:n����X��s)A�FO���d4���V�8S�ٺ��R4`ny�������@S�`>�_o� ~s�p��ri�ͪ|�[a5X�@����H*�!5��K���ʀ���#?|8�"��Q?'����=��k��'�uc�X���V2��-���n@ꗚ��-Kt���fot����n:$G�=b�M�6�Pu<�����.��&v2��������A��`��,�� +3w6\
<S_E�AE�HU|[�&u�
oRmj����
��7�*v�
mʈ�ApZ��A������4XR�\u-+��x�ʳ�N�[���0�����y
-������Ѯo��-�џ�{r��Y>���I�W���}
��~ŦL���u��|\Lg&��Ks��Y�uu�����O+ؐ�ޣy����W˖���&tɖ�w
I%ru9G@����_F �A��
Qа�[��
-�2��V
.���&!>	ɭc��Y�����&���U�����H���gh5�HQ�.��LE�`+L���R�!`]���Wu[GD)�'d�Ld*p�JC�0��"��¯�~�o��83U��M��m�
�o
X�6�O��ǻ��E��>��-���
r6�	�l��Â�>Y��q�P���{X�lP�p:�Ԛ�Ru.�2�
c�3\�9�O;�3�p���6�8G�T�n�	*YpA�4�Jae��sD������.L�Zv���G��Q�����䎘�B�E���"ɚ{1�p/���%��8!ˍ��t�\m1�V��v�㓄b�f��`F��q�Ĕ��#��[��QC>2�DZB$��ռ�	�߆M��
-(��J�"! ��'�����f��n�5
m!����]?�.���m_����W~vX���n���tㅗ�Mdޥ�z�Q���gUY����6�δ�.�g�����Jn=��M�:m��1�.W�/�������d��<:��'�ꆀ0�_��)X�(K˶`��Y�jK�(��`k�.j��B�O-2�k=!���7�
�C�=	'>"؉��S:p���I����/k"(8�WLY���9�P�\0Hk7$u�����1�A
1�Vd?��ǻ�Jh5Ɔ�H�s��:��IY��ل�
-��X%���OӍ�Z
�ඣ���<�FF{���E
��Ǚ�q.�>N�|�r�n
yp
-���#̇����=9;��G�
�:���=v��M(���f��P�[�*�"��C�
���RHx;�u�CE8����ߠ��B�h�����oXb����4d
���qG��s�����9,�G�2f�Txusr#7T�⍹$[�~�)�J�܃�\@�����٨�zs��R���1\���Ƈ��{r@����(�x�U׍�Y��\����e
��ي_��C�:
�����?����w�e��SZ̨�b�����H2czK
�b0�9>{bw��Κ+
�����U*��)��-���i|��%��KʡP.�^�� ��o��5T����B�Χ�
b� �ގ��P_��	R�4�치��šd��
�(����WK�V��o�_��}�hendstream
+xڵYK��6��W=���_"��I�&E
��^�
�~d��+����CrH�2ey�� ئ���o

{����(3��rv��)6S�&��_���tA�

�X�~��&�/9Q
��n�-̺�g��\i�[x�������W��s����q�LC�%�,l�rQ5��_�;\���E%�
�^��5�ٟfr6?�*Tv�Y6�%�j����Nn��X/*�$�P�z�Z[�]r
+�"�)*�b
a�q��!�;AP�ޝ�I`&P�RF�Tn��n�X'N��i��u��C-k�A
:R�����b�`�Um�������緲��f�Uk'U1�(����@�* �JO
Ȩi�éK8eG8e_m�P~���!��ۃ�D������j���g�\���9~���
�/��˓����)]0BN��-`�\��.[�ԋE%)w����f�ơo
;����
+����� A�W� ��'X"�Gy���d�G"s�H2�+{hK���c
1
^.2PD6��K��7UK$h�cR�h�
1
+Ν.���%7h�n��s�Ƚ����ugq{�wb6�h��ax��_ΙO�
+)�D
+_��js>�9=��yR琷
�|eS��C�
B�����Ł뢆B*����7�_�8����@�!
5��>�c�/��&��
r���j�
���p�%&�!,�� u�b�[�=� �^����p�H�H�f��Z�u^
+z��0�_�
oo+~<�VZ����0-�^q��E��&M��]�9�G��/K��r04#*W-Ȉ�:�d:2[TJ�k�8�����ӛv�XG͊s��7��X��cYʽ�
@�񿯂M��V,�8K
ߖ�:
;̐iX"M�v>�5+��x��4
�|��*�矯=��wd��DZ�:F�-r�9@�.$�
�
M0(Ύ����$�b�=��.�8��#���۾�i���j��N�I��H����\�ʽ�n4���� �r��g�8z�I��"�BW��!�=ǥf!�=��T�5M\�k�
�q5�#��@;k�����	�+�=�zC�
�{W�X<�2ޖi.��ѣv|��=�J
��<w��]3|�T
��|�Ü$��:�ls��0��
Z��*�.F�xe~W��A��� AU�T�N��d�]paX�0HԮF���;����.
aa���@��"���J�^�Ӂ�����sx�
ﻈ��	YsKw� U������DrR�[%;'�Ѣ

+�6��nĿ^��V� �֣�����ȶ�k�չ�@Sg��x�7�Dn�Dn

�QNÔHCO�r%��\ި�N��I��b9b&���mbY1�M ��a�]J�
ã�
�<W�֬�ҙL�3V��;�`�埕�G. ����IK׳�}����&�˔�<p�ĽcQyW�Y��G ��m�G�Uq�uUA'.:#�!���w+��)�z�����U��[�e�`K���]�c�:�p\��8�
�8��ʼnQ�B[��9q�F�/��f��y�^�R{R3`XH�y7�t���k�b�
¹o\��.�'�$�w�b]<RAe�3�
!n�Z�O>�̰P2�V&

�Wr)�#B�z�!�n�k�4m�]����|��y��*i�eXl<���y_�����!�4}֘�����Ae�u�hSi�5�D��T#�P�2Õ���gwU���Q��?3V��h��m��>���fa�{�Zׅ�dԯ���\���(��
��
����
!���M�������U#�� ���a�M�_�
+
7����_
Z��`��8��`ÌoE��Suw|�
�p�ԭ@�=$�:�"���(c�'����v���~�裧=P�
��?����م=��puֺ9�C��_��;_~�}J�}��*k��.s�)���7�/����endstream
 endobj
-3249 0 obj <<
+3549 0 obj <<
 /Type /Page
-/Contents 3250 0 R
-/Resources 3248 0 R
+/Contents 3550 0 R
+/Resources 3548 0 R
 /MediaBox [0 0 612 792]
-/Parent 3219 0 R
+/Parent 3556 0 R
 >> endobj
-3251 0 obj <<
-/D [3249 0 R /XYZ 72 720 null]
+3551 0 obj <<
+/D [3549 0 R /XYZ 72 720 null]
 >> endobj
-486 0 obj <<
-/D [3249 0 R /XYZ 72 720 null]
+482 0 obj <<
+/D [3549 0 R /XYZ 72 720 null]
 >> endobj
-3252 0 obj <<
-/D [3249 0 R /XYZ 72 649.797 null]
+3552 0 obj <<
+/D [3549 0 R /XYZ 72 649.828 null]
 >> endobj
-3253 0 obj <<
-/D [3249 0 R /XYZ 72 582.009 null]
+3553 0 obj <<
+/D [3549 0 R /XYZ 72 582.072 null]
 >> endobj
-3254 0 obj <<
-/D [3249 0 R /XYZ 72 528.667 null]
+3554 0 obj <<
+/D [3549 0 R /XYZ 72 528.762 null]
 >> endobj
-3255 0 obj <<
-/D [3249 0 R /XYZ 72 192.885 null]
+3555 0 obj <<
+/D [3549 0 R /XYZ 72 193.012 null]
 >> endobj
-3248 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R /F29 672 0 R /F32 668 0 R >>
+3548 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3258 0 obj <<
-/Length 1731      
+3559 0 obj <<
+/Length 1696      
 /Filter /FlateDecode
 >>
 stream
-x��˒�F��W�LmaS�A3z�ȁGHH��
�
-9h�1V��#ɻ8_�~�--�RT��4��~wO�<�z��UϴViή6���b/Q^ ����_>gծ\��]��䕉��le�Ҁ a���Q���x�eK�
p-�m��r����uVɨ�Ȯ۪�Nj�-y^����i�#�iϯuq��-���Ϯm�{���|B�=����A�� �^�a+o��v;⭩�E���[þ^ty[\ӞE*���*��l�����/����r���L � j�
D.�,7Y�#���	�����
�᧧$�"�=3�8���"G�m�����b�⃧�q��$V��Y��)�F+��*�~� ���1_��1�ݡ�mEh)Gn���J��
-l52���Hڡ&��؃���@�u^�%���+����������$RQ���v���2E��0X�-��c(��9�c=�X(��k:-��mq���B�/*v'Y�$$��T
�#�ty��o@U8�1;����^-W�1�t�ã���H;m��8M��B��(��,)�q�,ټod�
_�y����C�
�H�3e
��:��8?����PL�o�!���.�>FɆ(V�Œ��+�5Qq�Q8g�u
-���
+
-K�d��"u͐�Ș����Y|�4��5�5�@
��cX8&k#
��
�Z&���H��Li��49�~�8p*�pbMس	E��S�;�@-�@�' ���4g6#gf��N|�V�L��f� ��X�a::�,�	`�*�HT<{J2������
­͔/��QXt���c9q{g�w�U��gR�]�U�]#����HW��{�����|bɲLY'zkʲAϺ�P
?M���ȁ��T�%�����*���
��I_5|>�j����#+x�k9/����Eq(��`h"��
k�L���
/�hլ�� ��g*��T�0w
-����1sC�o(w���iY
a��^$$z�e�`o]�XwO9�q̒@�r/� �l�JR32�k��zTIY�X^G1v��#&8=�ޏ�!v����|
���9&3��
<��v�nC�� ��'3�O���#�\
?�ܪq$��b梊3J}ފ����ʓ<k��\�zy�`�P)w��H�X�}Brk�6N��H����}�ݜ�R{��$��|����)2	��@��]ueQ�L�[�
'��M�<!�wၦ
��	_F�۟��{��R�8��=�^�)�2�����$/аj~O���0D��
-���������z�:g��ǻ��6%
�?�A���7R��<�
���ӗ��
X{|���܎�ˉ�
-,CR��D��JK�q�b��̞*�#���+�N�p��1J��V�n
�g�@�C�XE��[�aAFݫ�1<3����col��m񙧷E�dl�}Uw�)�����2��eQu��Ү��;2����DU����N����Q~�|���_{7��hc

�RU/�S/}x]b���6��|(��%󡛋��΢F��~�1ٝz�8���"=�}0ڛ6b�ǨwV
��[n�"W~�<`-��K��
-���C��7z� ��%5O�A�	�W��0��Y�����t�v�۠ny�7��m�^:����镰�4������8ռh�I�gY[S���o���gNv�7M����W
-��u��Q�
C��
o@��GY��u���F626V�x�ʹm!�&|V���z[p�jL�@�V�Q�a/��b�q��/W��rA2endstream
+x��YKs�6��Wh��D�|t�C^ΤI��������bMe�5-;��.� $�Ѧ��$�X�~��X>9���H�l"����
/&��i)�
��?O���i
�3�]��O��~9��ё�جt�(%�)��(v
¯�%Jÿz���-ޤS
;%�W�։��e['�^D%Qb
��t�WNhiW��J�3Kee��r�-= ����5-yI��8\GNzOck6�"xH��<-i�C�)��B�k
��Y��K
�ui�Oq���{7�z�5��+ߢ-�D�,�&��D΢�
�o�h�S���2F���1'4:�:a(})��R��2�k�I�p�����73U ��G��s�w�]*3���ײi�+�
+�Y���UA�CT#*A���H����6Y9�n��w�Pt�Z	�
K(��J� �!�H:D�,f%ݲKX
W\������\�G}�Z�/�X�"���|��,XǢ]�Lg,�`�v��
���� 7�^��[d�]��d�P]UK�(j;=E�@#��EBA�EE�p��k� D��$���rvQ�+ZD̒Lf���@��>1��Lˍ�� T^)ߏ�5��nm9Y�P�jլȕq	��;"�93���QrAq*�"{'�<�li�pGa�\��>w}���*�R��
R�/����[	����	ITi�,��
Z
��Ҋ���K�U��{��-�2Adad���<�h�OO�g�>!;Z'��i*�I�p���P�B&g��8�ׯ#�f)TE��`z@��=��V�� 
��Z�����"ࢰ�d!��e�����gi0�j�*���|T�}�:7��*F�,��[y�6a�����7�B��ߐ�o]J�`[�
�|#�j��N#�JT*gF\��(��~�Y#�7ݷ1Sx���x+T�{&ݟ%F�������o,��4|c"WN�;����]q�W1��E�&��
�}����缶�9�l��]�_��w����S�|c�
�N�
�n��m�ްg#�
+�6�Ĉ3/�#W�%�ε�+��	�0��-~�(X4�"y�
����:vк�f4���
�y0(���ܶ�&7�M��2�ˇg��ؾ�h��Q|>���>��1a��
�ܶ�M+��<�~�mHE�j�?��#ƭ��/�$ ���%�UA�6��Q��|r_6q=s���%y
�w��,k���!矎��a�>~{��
���E͚>5i�+��]>�8�߲��(q��K4���?Y�vXQ��vvHs8�����Q��Q1�sL?�ߩ�0Vv�U 
)�������׬�e:�͝���r02�
�vϡ�7��OZ*:�Yy��|��i^�0�J�J�͏TE��"O}0��.� v�ƿ
���Ɵ�6D0�����FyW&�K:�# +&�R�
Q�'��kkx�!�v���+!��c��������лڿ�]+���6WA��%\����
��$��S~�b)�q;ܛQ,��1��ze�l*�Ƀ�9�L�)Ro�=c�?-��[�S��څx�Y_���	0ĺ�V��͑��^%
+l�* �>!�x�����m�Qͷ��V��<��
�ާ���dgRj�ؼ ѭ�b�ߐ+
+�Cn�+����@S�ۯ<�
�}� ]��B�ncG���ꥯ)Kj�'/���5�����0���а{��Q�
a����|ԌcB�W����j��R7F��PZN�B�{�k2!�3Kp�������)��endstream
 endobj
-3257 0 obj <<
+3558 0 obj <<
 /Type /Page
-/Contents 3258 0 R
-/Resources 3256 0 R
+/Contents 3559 0 R
+/Resources 3557 0 R
 /MediaBox [0 0 612 792]
-/Parent 3219 0 R
-/Annots [ 3261 0 R 3263 0 R 3264 0 R ]
+/Parent 3556 0 R
+/Annots [ 3562 0 R 3564 0 R 3565 0 R ]
 >> endobj
-3261 0 obj <<
+3562 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [378.774 624.442 401.577 637.393]
+/Rect [378.795 624.454 401.566 637.332]
 /Subtype /Link
 /A << /S /GoTo /D (table.13.1) >>
 >> endobj
-3263 0 obj <<
+3564 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 219.253 164.043 231.872]
+/Rect [141.179 219.3 163.949 231.843]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.6) >>
 >> endobj
-3264 0 obj <<
+3565 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 194.844 149.085 207.464]
+/Rect [141.179 194.892 149.018 207.435]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-3259 0 obj <<
-/D [3257 0 R /XYZ 72 720 null]
+3560 0 obj <<
+/D [3558 0 R /XYZ 72 720 null]
 >> endobj
-3260 0 obj <<
-/D [3257 0 R /XYZ 72 697.999 null]
+3561 0 obj <<
+/D [3558 0 R /XYZ 72 698.015 null]
 >> endobj
-3262 0 obj <<
-/D [3257 0 R /XYZ 72 237.02 null]
+3563 0 obj <<
+/D [3558 0 R /XYZ 72 237.062 null]
 >> endobj
-3265 0 obj <<
-/D [3257 0 R /XYZ 72 159.269 null]
+3566 0 obj <<
+/D [3558 0 R /XYZ 72 159.343 null]
 >> endobj
-3256 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F29 672 0 R /F32 668 0 R /F78 924 0 R >>
+3557 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R /F32 667 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3269 0 obj <<
-/Length 2068      
+3570 0 obj <<
+/Length 2033      
 /Filter /FlateDecode
 >>
 stream
-xڭXKsܸ��W�t	���	|��Tm���n�����K���h�吳iI9�o�~ |hhI���ij��h|��~���$����d|q��H��4�D����w �F"������ߧ�l`�D�g!
;0���1b߶��q��[���"R�B&�M��f�a�a�������O����v�U����B
P�i��$T�<&�[�d"O��m��(c�����
�P���o۰�(��ar��4��&J�F8Di��FePn۳�8~�
n�
�!4S�����y�E��3�0G���
�	X�+۾hv��['�Dl�y��ز�n6[�dv��ju���� ��Zh�����4�����-7��PP�jj�kb���k.}��1{�np��lI���WSl���\d�z:��S�����v�Hu��L�V�

-t���p�
M�W-�b[������ܽu_���^��bͺ�_�/ZI��(%�
n��tfey
�<�㏨$-^��VZ$px(���W_pLë��]�Ŵc�\	)A������D�z1
�[� D�z�?@l+�ұ;WFEB�>���z�N�"��
���zdZH��p����Ip ������xE
-�'�P���{q4�鸅9��U��?��{�E��zw� �	e��X������_��nň�� ��x�9��ճ%R���ޚ�{�4�����y�{Ӹ�G)(���֞E�ZV�C�	�`��u � �[naD$��r��B�f���$��"q.�r^v��zS��F.��o��B��_�7��$��x��B�>y�C;��(I������[
�7]G��N����`W���՞{(Wa�Q�ai
���*c�o�PH��!�B��
CS�lwS�(z�W50V at CK�o�D�L>r
�ԙ��53p�-��B�R�VI!S���F���+<=`������H
�8x�-7sPY<`�F
7����+�6Cu�B��/��x:߿����-\�]w;�҆ms�)�滓�8YP�ϑ
W�_��?�>�$���^i%�DM$O�80HǡR�.٪��T�({L�p��X�1���=�g�g9� / ��ה�+�o{�$�!�����?�~C�4ݩ��ĈSr�@'�3ߡ7�	Q����c#3a(4 WK��tƭV�Ց�I���^l��s[APf��uG�=�Q LE�
;�\�l�
�>�H�O�X�/�lҡ�u�:��=��ޝ>r:�$7���
-���f$���K��i@�̒�O���
��>{���=���=K���I(T]��q{.�

�bpk
no�t�K%�.�H�8f3�ˑY�
�v�KD�Yc��/���2�c�&b�MT�7���f������
���X�R.�5�J}�C��]��+�I�,n	���Z�W[�(�vy�l�Zŗq��#��F�t�D	�[�8��!���^iP�ݘ�����Q����7]�ؠ�
�V��
Ay��W�"7�H4����J��O�\�wB��)h�הj$[����/�����}�z�D�ё�mmY�#=�pY8���
��dYY�`{s,z���e{t[�=:鑽r�	�
F�aoU�2��1����f�=p� "Kt)X�EZD���;Lw����+Nf�m�P�B��_��2�(5��1�t����#QqpC8g�C�7���M����z
i[�+�c�I�"Z8g�����C�
N�X�A�[��\�Iv��M&�<LBE	�ݳ;����%�Ҝ�����|K [...]
��Gߓ���
�=���
�u���T��orw��i\�*�?�>��U�p� t�� u�=T��/���*v�_g�/�%~�
��4�z�S$��[I�{����d�k g&���� R5�[�c�}u�
y�ה�7D)C�
����$�_�1�"K4Y�Q3�~�������endstream
+xڽY�s5�_��
�����N
0S��i��
}�<��91���4
��+�t'�!mx���[�����gO���su�+&xyt�:��QUԬP�k���O�D���)��� z�#�R�Jˣ�Q�j�5<-<
�\�sE�[xn��8Z�H�y�
+�Y~=�)c&/�R$���\�Og�R��_4�{�뻛Α��93��>�f��G3����
�,�v�#�V�Kd!Lġ����r[_NE�
B��F����ӠL�5����j��M"��&�团,���ʆ�j;<���}��	����(�@�2�֖5n��.#g.G�;�Ē6-���,;ih�ڸ#��[f-jm�SJ;����Np~���־	B��^���u"�]�]�Y6����,�~wvM�a �
�ߢ��p���y%@�
3��3�{W;O���h����h�b�;�Z�9�ƛ7ݩ>3��Ċ'
Z�*.MH
tv�▸z���U���T;IE9�u�x�xd�S3BЖ��3�b:l�aN='
�[�7�x���Y�V3�k�1�22rz��E�O��=��Ljͪ�L��
�A�<J�R0�91[Jt���V�2�>��p�y���md�&�߻D�(b�Iަ�@r�3�[

�ٜ.��>jN����u8iVr9�?�`�Wx~��4c���kƹN���lN�j�����p*��Q6Ӥ����T&�@���c�q���k�p�,��4
��w/�T}U���
�ބE�>�ڃ��
+�=n�D�K���*l����a��B�
+b}��M.`����$C6m*Ť�	�J�ľ������ ��^�:�e�
+y$N��H
�"��yD��g�q�3�tK+�GI���0�{�
_/��|Q�R�|�YpIb�z�����s2�7P{��3�w�g�T�����
(�8��}�80��
+Y1�k ��Į�α��չ��%�v�;ē)���߸,r_?�T�HN�{��Ыe����~&�����%����<O�$.x�%d(?5�؝0��:1���|�gU�3�#sO1J2@�h�r������E��h}[rNL)o�g$l�e�gO�buON�ԥ��ٸ�޲��fPI+��f���o�{�v "b`2�jC�,�Ȍm�KhG\����nL# �T(!��p@�*�fSЖ��-͒�ɀ_Y-�抚�a���$�4�K��	VQ�e�nS��{�w��{�uZ�y���!��|�ڗ�z��fP������&!F�_�T�X{��.
^O�ꧯ���m���S���
F
S�9�� gij�3�Ҕ��4���
Y��E�0h�����!&<?
����] $�! ?��5U��^褐ܵ�usfZ��]���W�����
#
+G#�E�LZ����V"�W�!�(���:�
iv€%K�zS����GA�EuU��Qv�3/�.��W*0B}�k��a�˜� �`���	��CI�~u���`�^� �	f��f�T�
�۸.��Ѥ��
M���;jr��(���
+:*p6srRɔ����0U�K��e�l��q��2oS�u��uu!r�(ݞP�A1. ��.LE(4�+
��g��2N��lG��(�)��<��q͔,�\�f�b+�֏�$Q������Y�ʸ�����v�l��c4��Z<q�+�b�
* h���6�fR�n\�њa���"lx��o]h�:�փ��;��8���n�U�b����2���"�\�E�灆��C��fo�����Ҍ��a}#�YD��^�Cr��t}�l����5^�[��cA�¹�/�7(S���B������qpM���͡�0� ?OYݫ���¹9�+�vÉ�����[�|@q���UC�=����z�\�SƠ���
�M3��Bד��v��[W�*T�mR>,���M��>� DU�f̲�$�oM����ǻ�)�4�^u�eUGC������WL
.�om��ʽ�����n�͞�k�=ͧE�=?��F�hr[�q���'���
+����6�^-�25�~i�V4������&�hb�/nׁ
�X|�Bi�8�!b�i��ҚB�(���=�ra2�endstream
 endobj
-3268 0 obj <<
+3569 0 obj <<
 /Type /Page
-/Contents 3269 0 R
-/Resources 3267 0 R
+/Contents 3570 0 R
+/Resources 3568 0 R
 /MediaBox [0 0 612 792]
-/Parent 3280 0 R
-/Annots [ 3275 0 R 3278 0 R 3279 0 R ]
+/Parent 3556 0 R
+/Annots [ 3576 0 R 3579 0 R 3580 0 R ]
 >> endobj
-3275 0 obj <<
+3576 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [258.12 302.972 280.923 315.591]
+/Rect [257.837 303.099 280.608 315.642]
 /Subtype /Link
 /A << /S /GoTo /D (table.13.1) >>
 >> endobj
-3278 0 obj <<
+3579 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [140.501 167.065 157.451 180.017]
+/Rect [140.501 167.253 157.425 180.197]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.1) >>
 >> endobj
-3279 0 obj <<
+3580 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 128.543 164.043 141.162]
+/Rect [141.179 128.734 163.949 141.277]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.9) >>
 >> endobj
-3270 0 obj <<
-/D [3268 0 R /XYZ 72 720 null]
+3571 0 obj <<
+/D [3569 0 R /XYZ 72 720 null]
 >> endobj
-490 0 obj <<
-/D [3268 0 R /XYZ 72 720 null]
+486 0 obj <<
+/D [3569 0 R /XYZ 72 720 null]
 >> endobj
-3271 0 obj <<
-/D [3268 0 R /XYZ 72 671.714 null]
+3572 0 obj <<
+/D [3569 0 R /XYZ 72 671.745 null]
 >> endobj
-3272 0 obj <<
-/D [3268 0 R /XYZ 72 531.698 null]
+3573 0 obj <<
+/D [3569 0 R /XYZ 72 531.761 null]
 >> endobj
-3273 0 obj <<
-/D [3268 0 R /XYZ 72 478.356 null]
+3574 0 obj <<
+/D [3569 0 R /XYZ 72 478.451 null]
 >> endobj
-3274 0 obj <<
-/D [3268 0 R /XYZ 72 376.198 null]
+3575 0 obj <<
+/D [3569 0 R /XYZ 72 376.324 null]
 >> endobj
-3276 0 obj <<
-/D [3268 0 R /XYZ 72 265.073 null]
+3577 0 obj <<
+/D [3569 0 R /XYZ 72 265.232 null]
 >> endobj
-3277 0 obj <<
-/D [3268 0 R /XYZ 72 185.164 null]
+3578 0 obj <<
+/D [3569 0 R /XYZ 72 185.349 null]
 >> endobj
-3267 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3568 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3283 0 obj <<
-/Length 190       
+3583 0 obj <<
+/Length 206       
 /Filter /FlateDecode
 >>
 stream
-x�M���0E�|E�m"���R���
;��F(	���b��ܹ7'�.� O�Y
��F�<\�T��c at 5���z�U������.�!�1����G�`�VRt��d(h���o�Z8�Y����;J���Ԩ����f"����r��h�WJ[��
-�jTks�P��Fc��O �H�OE`&��m�} 
@Qendstream
+x�MO��0��=��vK�
ՈQL�p3
0�������J�0۝�촻ȼ ���iͲ
��š�aD�8� �!��^SSީ����e%��6Hp6���(A�mDj}UC�!���N��EBN�y�i���$�:��ۗ�_Ϟڧ��3�v.�ܹ
(:���\�B7�v3#Ӽ��h�7�I�.C�0
+Jc�=]Gm-�*���N�endstream
 endobj
-3282 0 obj <<
+3582 0 obj <<
 /Type /Page
-/Contents 3283 0 R
-/Resources 3281 0 R
+/Contents 3583 0 R
+/Resources 3581 0 R
 /MediaBox [0 0 612 792]
-/Parent 3280 0 R
+/Parent 3556 0 R
 >> endobj
-3284 0 obj <<
-/D [3282 0 R /XYZ 72 720 null]
+3584 0 obj <<
+/D [3582 0 R /XYZ 72 720 null]
 >> endobj
-3285 0 obj <<
-/D [3282 0 R /XYZ 72 700.324 null]
+3585 0 obj <<
+/D [3582 0 R /XYZ 72 700.334 null]
 >> endobj
-3281 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+3581 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3288 0 obj <<
-/Length 868       
+3588 0 obj <<
+/Length 837       
 /Filter /FlateDecode
 >>
 stream
-x��VKO�@��W�8�m���ÏJ�T�\*D�
���8�R��i����>��$<R�,�sf<��7�
��DIl�$IȨ�ȭY
�l3�N2ԢaG���;>���Rd0!*��D)�d0��A~�?��A(x�N��� �"�O�z�\���J,&���l4ʗM�4#��.�&�fs[�ɢ�{�:�B������+2o�P�*
�fY�i�T�o�pX�
-�4�VE�`��]VZuX4v���pn�yBp=8#��J��P2�X
~�V��|�Bc E��喝ĵ�bR-Jm��4f
\yQ%$�A�Z'k�"�`��W�̲+��m�;��S��
Q,�,��[�򚑱�șǨH�njB���SQB�o�3��;��Y
;��"f4M9�	P�,Y��9Z�| ���t
�{��ٍ@`���4Բ�:�;
 &T����&x3�c���~tSn�n*����L��k��:3N�~�Y�]0=L�M4H*edb��eV�6�v9�W䣦����
&����+/t��IXϥj���3�A�a�s��<�I
-��Ϣ�:Ѵ����|����XFV$�ݩ��XP���F7y|�-��قҒ%���B��M^fM1�Q�+s*���	�
 �gn�Ү|ܮ(� O��'�Ƶ]�؁
;�҈
A%W/$S�Ju\z�_|�/w���Ɣ&
�ho���>YL�SLO��n�����
�ɑ	C�
/N�^K�F�v��+
���+�0L��S�n����+F߹�*�C(%��'�M�87KL�b��x����7��1�x���f��{7v���Zv�
s	V���%�~.�z?�ʽ �
M�㨽���g���!|D�r$���Jc�?�͡endstream
+x��WKO1�ﯰzʶ]��cw]��J �K�H�p��"Xhi�����	
B���w<��7�ػ���f��/��u���]�� \^�Yx�"���϶v�e ���#fJŵ��1�K�Yx���5�s�}w�̍&/�,{��
�
�To�&�7fqK�L�|�^e0h��U��=us��t�SR<wc�Lop~�m㵋v��D3��Cڛ]��#�5n:#����И
��΋~�Ơ�%	�):�zFKSJh��h],�?Ҧ�����@��d����
_}����9m�.@���}�
�1���[��Y&�����!�͌��Ę}@�ң�&2�;F������{�4\)ɌpNT��w�

	6���W�f?�\p��M2SV\뚞ϲ�l/!2Y+s
d��+`�n*�Y�'PS�S�8��r!+k��:ps�/��,
+e�%��
����B"���B�\�[!�c����],	�����Tw>t`	�"�X��d��IY����B�
�0�D��8Cј����\/&(���@�1��!㐐y5�n!k^[�ƾ�)�Ӱ�14��39vסP�ê�VE���*��sн�
�%�ԢV�"�hj�z�-Rm��n��]P4��Q��mUq[�޾�!>V}+z3G@Vvm2G�J�8Tr���	���kd0%>!����Qzg�/���Λ�q�0�p�k�IDo"�j�}U=��d�]��:/���բ�+�њ�O8���
ZF�Ҿ�wj1Yq!�M���5�o�E^M3u�fR������P!�\��V�B�����&{K?��������'��c>q���t�U��%PF'k/P�endstream
 endobj
-3287 0 obj <<
+3587 0 obj <<
 /Type /Page
-/Contents 3288 0 R
-/Resources 3286 0 R
+/Contents 3588 0 R
+/Resources 3586 0 R
 /MediaBox [0 0 612 792]
-/Parent 3280 0 R
+/Parent 3556 0 R
 >> endobj
-3289 0 obj <<
-/D [3287 0 R /XYZ 72 720 null]
+3589 0 obj <<
+/D [3587 0 R /XYZ 72 720 null]
 >> endobj
-3266 0 obj <<
-/D [3287 0 R /XYZ 624.546 566.069 null]
+3567 0 obj <<
+/D [3587 0 R /XYZ 624.863 566.14 null]
 >> endobj
-3286 0 obj <<
-/Font << /F26 548 0 R /F70 642 0 R /F29 672 0 R >>
+3586 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F32 667 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3292 0 obj <<
-/Length 2326      
+3592 0 obj <<
+/Length 2284      
 /Filter /FlateDecode
 >>
 stream
-xڥY[s۸~ϯ����N�@�����;Mf��lgjg_�>�esJ�
-/N����Pd
�v� �s?߁�{���8�R���^��}��TH��V*Z���������9#��H��J�!����R
�7�x���L$:s;~Yo���۲�M�Z�z%f�7[
�UW����D�+����H?�
�<�#=mW�����t����7*�����F�B�,�_i#r]t8�`t�m�

�ΐ�Y
����򤕉F[!�
ZQ�/�J��$Z��+h76�P#��
���
�"w:��I��+��-Ok����j���w�#(�=�1��U]
H~�/ߪ�GHI�v
�L_m�D�)�RaLL��s�����Y�l�c>��}@Iq"T����ȶ%��m;
~��
d�PuyY�(a2��M�
�ߖ�s�
-��F�\)F��Mt"�&��]HG�7n�Ǜ���Tm�f
6
�ݑuk@���\�Ӿ
�vQdV���(B�Go����*aK#y�=���=�,Y�j܁������X���Nĕ�1����:V]ɓ'd�,UՀ���Z�73Oq�?Wo
����.kS���C9ձ�G����� n�>
-c┇(8j��4�c�q罣�i=�"�kb#2�^A�*a�
�uĦʿ�_斳��@�V�{�1һ����V��_x�}��|��{�����0����3�}�t��B:���{)#�x.�&�<la�x_����R"�v^� O���*b��(K�e\�co��Z:�>�)�qr��ՙ�]Ne���0�H�
-�����P�l��Lph	|L��n�!�{��Ge�4-���ݩ`��	��5�,*�ٮ
�dD$�W��.s&��jX�I$�4vj�^��y@��v�i
m#������P���
\3�OQ��V0V��#��4r
��!mrQ�J�g��	�*С	���4`/��

H��'��E*C�B:����<p�gK�V:�B�dQ� )`Q�ܚ�Ұ��ؕA�:��մ�W�V�H*E��L̊��/�`�^���?���X��>iQ�߰S.�BD��Vs!�o��G�׎L�
9l�z�Ӻ�Ջ���u'Ἢ��}�� e�E�
�"ฦZ��Y�4~1C~���l���c�`AT1p���hh�?fn@��u���X�/��TH4G�8e�E�*@��u�5�
cPg�~BPC�ej�=� 8��}�����-�p[
.�k:�9Lz�X
-�����@+�o���I�:��-w�X^{~xb��[�}	v��|��@!pe�����{��9�|_�SLsͱJ.�U���2��m\�r�
���(l�,_n�KPR	E
�RG��)�-�C|
-{���`
ƺ��
��:����;�9���'*�C at a)T�ȗl��q nG6��=tq
bj��=T���b�P$*�
t�B%�H����5&�^�&]� �Y��l���B+A[�������!

y:��L�P���-{���Z�MwV�o�_o��D2��`�)@ ���o/������g1��,���@Z!u���aN
d�7e
Q
<`<��ȋ�^����ѭu%$�s%QpY4�J���3��C��C���x2��O��͈
u�,�F/�a��{���

���3
��f�FR
-�.
7� �:�EB��Zq�/��<
�Ƣ���"O���]#�ڋWuY�G�_.����OX�z�x⑉w\�
-��|�F��@_�'pg�Bth�W}�� Ny�c�z�ȫ<��8
���!�T��F��ڰwQ!��5�j��	[Fn ���
-�ˍO�h`�R-
|za�&
-�g���Š'���U\rfq��Ž�e�򄚺5<��\Ǭy���L@"�o�@(M
����%"o2D:���
��9��9�g]|
Af]
'^
^:�pWK��c-���H-�넋`ㆮ��ʑW�;XbO/�
���9.�O!�a��)]T�[������PR�I
!<T
<J/Y�%t�B�,{���Q^p�:`�޾��t�,f� ����h������:	��s��l̓>�)�7E=���M��?Z"ͬ�^�!�W���*��p��(ٵ�e�Sr��`	��.
���c?����<�v{�x�s�-��a���/�@Y[����|v �MVn��:U&�����(t�,=�Mf�gD
�=(He�#��pG-S;�
-���; 
e��*��:׸�|D�Ô7EAzO%q�{^�W
g �(��
-��%s�o~Ӈ>'�.gR�ӱ��F�O���$��n�N�|�`ɮ��=���J �l��
�њvGڗ�w�����endstream
+xڵZK��6��WL�i���E���
&�*[�MUf�K����<��c,Z�'�~����(�qЈ��F?������^}#,������Xycy͸���_gb.f
+>
>f����^���R�u�
�P-�s�O
�5���=�|ņU�o�
�4�����>��j7��ϕ�F�K�y�p
��SX��H���<��s%
K1;F;yk*'�B(�47
i�4���;����5�Ŗ�
<
�$
8L�LT�M�t��t�d�����7���KV��UA���
$�e]haH���4(
j~��r-��sY��n���Z
in����ߒ8;������O["|�
���.�"�3Q<�g��͢�̂��fZ��}����
~����D��K61��Ɛ�D�@ّQ�ܻ��D��D��I#
+-�R�)�|aT��!��
FfVը,T5}�U
��ۢ
:_�ǿ�	ec��w��m��

��<{�i���s
��������67�����J��J���sBM�	y�t^���t$� Ꞿ_&�ǎ~,���~>
Q �'�Ҟ֞|gn�-�|Jb�6r
��O���
~�
S�
��eS˚ik'��>$���es���V=�X��p�n8�L^�mw��	O���G7mG����b�0��J�@��D�����v�K���|iȥC`�J(�К��ā~j�?y������.d��:&���w�d�a�g���O� ��x��[\�
*w�)*a��A�@Ai}#/f0�,&�BjUU�3�JK
z@!�dL��Ș�|��y�����3P�BB
�����a�`m����(ݾ���l�
�Ӽ�>E���RN�M_74���
�ơ�{��_�R`m���_!H͔�c�.*c#-���ޤ�8�6i�Ԙ�4���\�8?�y
�gm�gL���L��5v�kxP���2���m�I+VLF[�ɂ+Z&����a"`:���^IB]�a�.��:
Q�Ky lDҞ�' �nd8�V�2�u��q�:hPv-r�/N]r�"Y
+�Q��
�%�%��%$
o"��g"d2�$�	kO<	dc��h0���F����� ��?�1��wFgy�bk��!�u��'�^.�%[x7
��\Y��*r����
�:��q�s�3���
��y�N�ȷ�:;��P��iJUG��"��	L���)���o�Kr?-v���#��յ��-�Pv��U�`
��=��HY^5����`_��_���\̾}��]
n��n�ei=��<4���!�P#`���K/��+e#�	]�%pS0O;�_���u��'h���t٦�k-�v
_�x`%��0��\ F��XU�@���(���*q�
ۖ�o,WP���WT���~��Z�
F~"��*X�րyB
	��i��e;��D�:&��d�E�WE�
����8�M0c	�M
�pɬ
��
:�А.�΂��ᲄ�k\�&���KRR|�e��?��F��Y�1��ţ���1��
��Ԁ�����{��ȼ����|�x������̀8uc��-
+��r���搨��x�Ѭ��K�(�����υ�M�M+
��C� +��S0���afd���$�����%	n�X�Z���G[g	�*��0��R ���%V+���D�;oQ�9��,zձPḪ�b
���b�`�~��$�3��c��a�9�zˮ>Ky�
i�|s2���_��~M�ג��
 �dh��Y��(�R�O�������o�#�<��MR�$-�ۈj:��5�;+
��m�X(��Bpfx݅��M���^�yX�W�^���n�U��|[H	�r�ד�������x�sM6��ڜ��6�
+���A9�;��c�Z[��^�K�LZ0�:��2t豔װ�����D���K(�����F`
j���g�:@��q<�"ͥT7
���DQp
�i:16�:46H�I�$
+� /S	�ݶ8,���3�9	��‰��mzM�L{<�.*� �煾]-3%���$��冇�Ƃrk�3I`\��Dtp�NQ9��׋�E-t�0��8ᢣ��L}Ew
blF�$$'��#U9Lx9rr%"�&�-�}�r����u~�H�Ygwsr��=�-ێǠ�����1���M�T@��t~�v_��~^w���+�t5���D�*�l��x?�Ot���UY1�tH�܂B��Q�!B�
 v�mI���1Y�E6l�|s}�
+ l�!�k��e
Kۡ��{���
w��5��_����X�.�.�X��и,4r�4��Nu�M�s�Ps���O�7t�	Y
�yh)������#�"ɋW�/��q_�endstream
 endobj
-3291 0 obj <<
+3591 0 obj <<
 /Type /Page
-/Contents 3292 0 R
-/Resources 3290 0 R
+/Contents 3592 0 R
+/Resources 3590 0 R
 /MediaBox [0 0 612 792]
-/Parent 3280 0 R
-/Annots [ 3295 0 R 3300 0 R ]
+/Parent 3556 0 R
+/Annots [ 3595 0 R 3600 0 R ]
 >> endobj
-3295 0 obj <<
+3595 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [353.591 641.162 376.394 655.11]
+/Rect [353.529 641.188 376.3 655.022]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.4) >>
 >> endobj
-3300 0 obj <<
+3600 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [378.774 152.661 401.577 165.612]
+/Rect [378.795 152.817 401.566 165.695]
 /Subtype /Link
 /A << /S /GoTo /D (table.13.1) >>
 >> endobj
-3293 0 obj <<
-/D [3291 0 R /XYZ 72 720 null]
+3593 0 obj <<
+/D [3591 0 R /XYZ 72 720 null]
 >> endobj
-494 0 obj <<
-/D [3291 0 R /XYZ 72 720 null]
+490 0 obj <<
+/D [3591 0 R /XYZ 72 720 null]
 >> endobj
-3294 0 obj <<
-/D [3291 0 R /XYZ 72 671.714 null]
+3594 0 obj <<
+/D [3591 0 R /XYZ 72 671.745 null]
 >> endobj
-3296 0 obj <<
-/D [3291 0 R /XYZ 72 575.035 null]
+3596 0 obj <<
+/D [3591 0 R /XYZ 72 575.098 null]
 >> endobj
-3297 0 obj <<
-/D [3291 0 R /XYZ 72 521.694 null]
+3597 0 obj <<
+/D [3591 0 R /XYZ 72 521.789 null]
 >> endobj
-3298 0 obj <<
-/D [3291 0 R /XYZ 72 366.235 null]
+3598 0 obj <<
+/D [3591 0 R /XYZ 72 366.362 null]
 >> endobj
-3299 0 obj <<
-/D [3291 0 R /XYZ 72 226.218 null]
+3599 0 obj <<
+/D [3591 0 R /XYZ 72 226.377 null]
 >> endobj
-3290 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3590 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3303 0 obj <<
-/Length 1202      
+3603 0 obj <<
+/Length 1184      
 /Filter /FlateDecode
 >>
 stream
-x��WKo�6��W,60"YE��@z��:pӢ���A^q����
���<�]�^�(��
E��y|�͈��={s�
!�$��E$�;�o�_֋�*�uc
Ku
����3�V��������X	����Nm
-�����?�֚V��l`��>�1�s����S|�G�*C�F�/�Xޣ3;<�h
�9��h���^��T�
^N�+�D�&sr�Ag
|G�8
�L�[]:���q� �1ء����[�띢�[c-2v�DL�q
"e�@Q�z�x
èi�*O8q�F�C��

�<��1�!�`��`���)ʩinvhh�Q���D�/�Dnm�D\z�3#�+ri����|��D���Ft=?Ɠ
")��.�
��$��p\�����m|���%�G�ˁ�r�����1H���s�\Pe��<_�@!��A��b�Ad�8��c9��*&�;�m�.<P����T��L,?�{����~"���5��\���o�w�DNH�
[ �=���)Ƙ�W�����׊�Б	�=j��Ҍ��oI?�%��_�t��u�7_�OG��y�<��W�/�;j�|s%��=)
-6݄l^C��`N�6$Җ���������k�6�Մ��K	JG<�)�#�H閵���Lƒ���HO�G�j޿s]y��o��l���E�������/�v05�F���(�2��g�&���V�$������Fez�U�ъ���ȭ��<�-���zAlbJ��B�BaD�p����8@O��!p�j���'��XZ+	����Q�Xy��~��(��aM�;��G��� ��D)��I����y�N�Q��
�t}|�[�
�)�g��<b����\�a�me��z�#�s��չ�E��O��
KA��LA\��Ǫ�5��'���p��_�L�ơ#ddT8' ]��p�$6U
�wL=WX1B*y>@��~
�����:�=>�� �m���=��%�
�iyôH�ׁ��ĵ�2�DB�;0����sEH�Ԋ�)SOZ(ح���ďh����Ė�zI�Auۊ�����<I� ^�ҎxE�ԓuj~o��l��4�ف�MB�x�S�������iu��hlO
łj���ۙf,��U�?Pis�_�6-�á��y�#�l��������(ӛ
-'Wv�ׅ��ͫ��.��v���0�Cнd,N(���
:�ٯ�g� `��endstream
+x��XKo7��W*�ʅ����
��ܴ�!>�{�W�z��x-���
r���Z�u�"-�
�1
�|�fv��g/O�N'J�����j��I&s!-�}q��ͭ2��Э��R��]C�����
�|��DN�*I�z
+�o�]���Нcw��h-)�܎5ͻ�[�eϥ��#��
�	
�-i�l��0sA��1[j��2�6��f{��mRǏG���
��CZc�6$JN-�y��CN���{

�ۑ�c�ΰ�
�:y�v9sJ
��;�w�r/�&����o[��Qp�d>�y��O
����\��vlz���hsI�nN{%n����o.{����j��/iκ�w����kY�}&��f-c���#��
���O+���|��T|4~ ц���������i
ǫ WK��0
+�y�
�&�g�N^��y���)��cQ�y���8�w9�f��[�C^�����E�S��><!
8
���˿�����h��
�?Y�?��.�j=)X��T*2k�8w̗$2(��V�@�1]�H�}���XJ�xy��n C���l���k8썂����(L�Y�&��(fB
+F&�l䢝�*
��X�����(o4��D�e��E8�\J
9z�
��ѻx ���P
_�\	�D��`6�>W��p��.�.��1'�i��^b�8 ��p�Q�Q/�*h+y�!�V8�\�\�B��
2j@�
2& ��<���Lg$�^��'��v�WU�o��*
�\C��cU�=J�H
+p�(� Ɯ���C1��WtU��(M��)�
hh3$�V2N�L��7v�S�i��d(�&8Ew��
��ٷ-�"E��Z��
���b��q����Yn�P��DW����O��ۛ�(���.��>�4
�XƁ;�
K���ٓ��TH��j��y�JQ���V���H;��b��p�F&�ׁ#�$�Bf���
��)��
;��+�P��:
.���~�kQ	����-�xw�bL����uS�K��<��N�D���|v��L�5��&@z9`�#(%�v���a��:�r���zym����Ûގ

o�ݡ���.BT�����˲כ:C�:e�.ѷb�A{��ڭ�_� �d��i�HJ���#����d~$��A�_��=MI���'.s{Ԗ;�fB���`�����C�Q����(��1>�*X9����7���endstream
 endobj
-3302 0 obj <<
+3602 0 obj <<
 /Type /Page
-/Contents 3303 0 R
-/Resources 3301 0 R
+/Contents 3603 0 R
+/Resources 3601 0 R
 /MediaBox [0 0 612 792]
-/Parent 3280 0 R
-/Annots [ 3306 0 R 3307 0 R ]
+/Parent 3609 0 R
+/Annots [ 3606 0 R 3607 0 R ]
 >> endobj
-3306 0 obj <<
+3606 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [139.939 352.503 162.742 365.122]
+/Rect [139.888 352.541 162.658 365.149]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.4) >>
 >> endobj
-3307 0 obj <<
+3607 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [140.935 327.43 157.885 341.378]
+/Rect [140.937 327.462 157.862 341.297]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.2) >>
 >> endobj
-3304 0 obj <<
-/D [3302 0 R /XYZ 72 720 null]
+3604 0 obj <<
+/D [3602 0 R /XYZ 72 720 null]
 >> endobj
-3305 0 obj <<
-/D [3302 0 R /XYZ 72 370.27 null]
+3605 0 obj <<
+/D [3602 0 R /XYZ 72 370.302 null]
 >> endobj
-3308 0 obj <<
-/D [3302 0 R /XYZ 72 278.074 null]
+3608 0 obj <<
+/D [3602 0 R /XYZ 72 278.138 null]
 >> endobj
-3301 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F29 672 0 R /F32 668 0 R /F67 564 0 R /F78 924 0 R >>
+3601 0 obj <<
+/Font << /F126 638 0 R /F149 920 0 R /F29 544 0 R /F32 667 0 R /F35 663 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3311 0 obj <<
-/Length 1113      
+3612 0 obj <<
+/Length 1090      
 /Filter /FlateDecode
 >>
 stream
-xڝVKs�6
��W�Q���%R��w�t&{rh����f5�V=���/��,��x��A��� ��zw��
U�Q���mۨT�T�W�ODyL#������U���D�z��c��
~����npK�9Q,�?ʼn�Ytg�8�G=h
a�"��`�)�b�ECѡy�>|u{�8�QQ��h��u�;�h;\�hkV�����&�^$���j罵_4f0��|�3����p��
6���i��p��
�����`��D
-ʌP0��7;�,YmQQ��
-⛠�4UJ4�<p�y5�%S��+�*N�
-�C��L�z?iT�]1փ�!�(C_��)���7�
}���\D#���Y�������x��1SѾ��7.�i��MB��O,IXv�8+;���@6�6�*�
@T�d�J-:~&E5�`���f��
-q �BL�Ż�C̝b��
-xK��^o
tAz��p�%��hŽ
n�׽?��og����M�ulІ�ݗ��3Ȇ��b4]	V*��ʳ0N��W!%�`s��CD{�P?�L�
��!K��'yN�aK��N�����jʈ��k0S$S�+��. A� B�s�/��䂱���^������e���U/l]@�V�0�ޕ��-;�7��ը��l� �0�nQ��.!� �j��I|~q���k�Z���Cm7��
���]߅��6k�3h;��
��DMp�� ���Ԗ{G�G��X��Wʁ�}�!�$)�q��oa��ߩ��s��1�È�Z�
�	�
���H{ƶS����uj��PFP���>
� u]�������}a�����B{A���iL1���7T�~
�a`g��r��2	�W��QB/���qR2��h�=��pVq+
쵑�̚���ðBIm�
-ۻ��n��N*B���

0F���ǡ�J��b tNe Ąo����1��9�� �
-�b
��վ�[�}}��ҽ�����B��c����-�cGw��Ü
j*W\�־h��
;���(�|kܙ�����߶��
-	��<�C-s�Kk;��LO�/c
�}yY ��~
� 
��)�k��=�{t�!#^���NU��!-�� ��6���)��}8����j��W6�
c�0F!��(�vNqG8ʯ~���$"80endstream
+xڵWKs�6��W�H΄�"��҇;m:��=9��A�(�S�REɮ�}w
�a�ָ�X,���?\��?��L�J���b����^�f�?
Y�B�'�s��߀^5	���5zR������D��)|[�[�h�
>��U���ve�}C
60�E7����Z�ٰ5f.
$��
+�mq[6�6�(Uׇ�L�t���n����(�b�*%E+}�.ބ�|
�#}�
��XŶ�T#T���:{�ś6Q�u����j5
UBZGG?.��ʀb���� �,�
��Zxcؾx{w�Chc[���崐�1�
I��ݔyt�h�9S�Œ6���z�T�}γvp
r���N�i�w9EU]
ٸc�dMK�kfdF�	6p�k;���4��Gt���tō�XD�QQ KC ��&a��&%��ч�h֋
��Z&5�vqO������<3�+<���#���\X�GK{F9o�x�ee�a
��aw
0ȫ�B"#����vP>� �B�`���_��s&���
Qz\��h��g�4jtP�:D#b�T
�KR x��@p2R�<���*�0�}��Ԁ�ۨ��y��Ɖ�U�
�̺}�3
����N
7~��ӱ�Ѷ�8�L�Ix�:F 
�q�ށyk�h��_n�ǡv���k5�`1m
)��Zl�j���
+</%_�b�9K�d�-
fD^_��W�h�B�,0��Bz
����G搼2{a�M�,GFV�=_7�j��Y���x��
���-�po�m
�b���<�qQ�a�M"t��@�ln"�o�s�9�B')�nN��l��:�Q���
	�{�3ŗ�5��������?gq�r��a���ːBh�iR�y�6����
�|�	j����+
J�,U�%���k+�8�҈�@���}=Y$}G����

��~������	��2i�:
v׈� �-;�wwCJ�#mê���usVk;����yH58]
�=�C
I���Ōt�$�T
7;BЏ�����!
�gr����'�E�u�<B��
��O7ɋ�i>'o�h�i���9���daK��^��L= ��G	�쫛h��RV(
�&=�ZL�x�gJ�$g?_���d��endstream
 endobj
-3310 0 obj <<
+3611 0 obj <<
 /Type /Page
-/Contents 3311 0 R
-/Resources 3309 0 R
+/Contents 3612 0 R
+/Resources 3610 0 R
 /MediaBox [0 0 612 792]
-/Parent 3280 0 R
-/Annots [ 3318 0 R 3319 0 R ]
+/Parent 3609 0 R
+/Annots [ 3619 0 R 3620 0 R ]
 >> endobj
-3318 0 obj <<
+3619 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 333.317 164.043 345.936]
+/Rect [141.179 333.476 163.949 346.018]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.8) >>
 >> endobj
-3319 0 obj <<
+3620 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 308.908 149.085 321.528]
+/Rect [141.179 309.067 149.018 321.61]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-3312 0 obj <<
-/D [3310 0 R /XYZ 72 720 null]
+3613 0 obj <<
+/D [3611 0 R /XYZ 72 720 null]
 >> endobj
-498 0 obj <<
-/D [3310 0 R /XYZ 72 720 null]
+494 0 obj <<
+/D [3611 0 R /XYZ 72 720 null]
 >> endobj
-3313 0 obj <<
-/D [3310 0 R /XYZ 72 649.797 null]
+3614 0 obj <<
+/D [3611 0 R /XYZ 72 649.828 null]
 >> endobj
-3314 0 obj <<
-/D [3310 0 R /XYZ 72 582.009 null]
+3615 0 obj <<
+/D [3611 0 R /XYZ 72 582.072 null]
 >> endobj
-3315 0 obj <<
-/D [3310 0 R /XYZ 72 528.667 null]
+3616 0 obj <<
+/D [3611 0 R /XYZ 72 528.762 null]
 >> endobj
-3316 0 obj <<
-/D [3310 0 R /XYZ 72 402.1 null]
+3617 0 obj <<
+/D [3611 0 R /XYZ 72 402.227 null]
 >> endobj
-3317 0 obj <<
-/D [3310 0 R /XYZ 72 351.083 null]
+3618 0 obj <<
+/D [3611 0 R /XYZ 72 351.237 null]
 >> endobj
-3320 0 obj <<
-/D [3310 0 R /XYZ 72 273.333 null]
+3621 0 obj <<
+/D [3611 0 R /XYZ 72 273.519 null]
 >> endobj
-3309 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3610 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3323 0 obj <<
-/Length 1297      
+3624 0 obj <<
+/Length 1239      
 /Filter /FlateDecode
 >>
 stream
-xڝWMs�6��Whr"gL� 	����;n<��N/u�ƜR����ﳻ %¡l'I ��}� }�9y��k&�\�
-:�X����߀'!X�w���

Oʄ�e��iYg`Y���s�n{��7�dZ,ݎ��H�qpm�0Jt��Z�Q�W�
�d�
U��
&���]Z4�
�Ue[ڛoLo�����$�O&�^DB1���ΝM
�Z
��-�ojkC���6
��.n>+�8O�`�J �O�~��L�څ����3ö���2���9�w��z=c�,՘�M��X��m�~���Ǘ�d�q1B<�p2��9�,K��j�=��A?	����a�>�
��
�������ע�<C
8���,P�"�B�c�B�T`a��,����0?E>TbM����h�Y�3����A��HY|�H�7vn.
��)Y�
��CI{��-6�ʬ����uNXv��� 9G1Z��I�C�y�}�7��ʴT���/,]���5GJ͗,b$��ӵ�:�K]2�&�,�M
-6�
���x��
-�qm�w�T�	�
z�q���G1u�ؼ�v�I��۟����Օe���\���xhc�Y�m��5�3�M6��J塽<�		F:�c�'�w8�fR+%K�>(tK 	q���m3�qU��<5k�Q�'&N
��!�ep���9�Z�T��0��Gd���i��p�LI�l
�
�{c��>£:x���4E@�*Q���{ɞ30�ȽCi��^�D~c<=gj��D��ٛ��#/[$H7��$fZM��H�Bdڍ��ҡ�k���~�f�=d^��O���rAZ�QnP(H\�-
��d�f��y\K_nc���N��Ǘ=X�pC�'\��
�{�ж�P��M��Tx�tS�b�)��H�
�kȁ�qM���z&�I�z���N��Ԝ����ϰ�Y�U”�.�)���ol!_U�!:!��_w�!j S�
�������݆�K0OX�ݕ$�t��s�,o��wX��݄l���v��8�����Y�����������0t�{w8O���ȵ�$q
�����E�cc�*
d<�`�+
QW�#*B�y���umPS��~۸�y�R��W���]C3�Mm�j�|h��+�
���m�&��'�[�GjU�=��^7�~�
��u�Sn[�u_�Z���QL֦��ʊ�
-
5��꤃���ĩ6�c[����s�dBI��`j�W�����o��ׅ�s�
��k+��䥓�?�e��N|��ݗ��A3���D�	j�¿3�z�K��N9Ϫr�������B�	�@>���)�$��'�nN����Yendstream
+x��XKs�6��Whrg,�xd�=$u�I�iv{izP$��T�=��ǿ/v� �$٪/=`H 
�������R��tBI;��
������_C�ɡ�C�Qf_���U���Ѓ
�OU���
���X�{��ϱ�.������e��Fڙ�
r8���:��g��ͅ��	�3?��8���0����s	"í�
+����(�Hj-L.#UUT(�E
�MV �]�
+xބ+T�n��Q%�ux�����q�
�E���f&nO�Ȑ��1����|�kn��	a��J�nL��)�^�tD�$���tA���xM�A�ǣB����B���[ª`�:)��_x.�^d�5ꅮhu�6Iȡ��>��C
��3�pP�Y�\�ܕ
>FS��&$�zNK�Qd��2�wO�-?���g�9(2
N�l�n��a�6�dx���(��,��S�J��&�< ����Ѧ~��.
3�Q��
��
�E
@�0�
t��{\���$��+�pn
q�y�: PY	)���E���ј2��Q��Ղ�p�V�:�̇���̕�>�i��|Bk��cJ�~&|���-���������9<~�+���yX^���陡�eN꩐���5���*
��&��=E�*�����\n�����-k�n��3/�pè��|���7GM��~ͩ�����$��.Ny�FY�
�ܣ�4���t�C�
U\�=�+2u�T�B�Vޤ���
�Bx/q<q��R,LC��c��!�&�4"����'/���]��:A��)�У [...]
+f�e�`޵�}�j�0hND ��t�R|O�l9��B:�s��G��] ��B5#z�2?An
��������q��C$T�vc�W�7~�[�8ur�YSſbl�3�����V�u���KB�)�$RRj�����$�{��-�B]�W��=��h`�?�!�;��̂�޾�{�T^n.�������ۉ�I�
��q�]�|�ܗ�c�@v(��8kN��'ة��d�F���ʂ%ẗ��&��TA
V,ڷ,��C�
�
�B�
�y?��J�����K�
���_�ۦ-lǫ�'�k����o@��㒩O���货0�4g�!�/d��CJĭ�t�+��N?d�
+�p��E�6^
��R�4��h��JK�y�ڟF�D�����7�ttendstream
 endobj
-3322 0 obj <<
+3623 0 obj <<
 /Type /Page
-/Contents 3323 0 R
-/Resources 3321 0 R
+/Contents 3624 0 R
+/Resources 3622 0 R
 /MediaBox [0 0 612 792]
-/Parent 3334 0 R
-/Annots [ 3331 0 R 3332 0 R ]
+/Parent 3609 0 R
+/Annots [ 3632 0 R 3633 0 R ]
 >> endobj
-3331 0 obj <<
+3632 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 278.481 164.043 291.1]
+/Rect [141.179 278.672 163.949 291.214]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.7) >>
 >> endobj
-3332 0 obj <<
+3633 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 254.072 149.085 266.692]
+/Rect [141.179 254.263 149.018 266.806]
 /Subtype /Link
 /A << /S /GoTo /D (chapter.8) >>
 >> endobj
-3324 0 obj <<
-/D [3322 0 R /XYZ 72 720 null]
+3625 0 obj <<
+/D [3623 0 R /XYZ 72 720 null]
 >> endobj
-502 0 obj <<
-/D [3322 0 R /XYZ 72 720 null]
+498 0 obj <<
+/D [3623 0 R /XYZ 72 720 null]
 >> endobj
-3325 0 obj <<
-/D [3322 0 R /XYZ 72 671.714 null]
+3626 0 obj <<
+/D [3623 0 R /XYZ 72 671.745 null]
 >> endobj
-3326 0 obj <<
-/D [3322 0 R /XYZ 72 589.481 null]
+3627 0 obj <<
+/D [3623 0 R /XYZ 72 589.544 null]
 >> endobj
-3327 0 obj <<
-/D [3322 0 R /XYZ 72 536.139 null]
+3628 0 obj <<
+/D [3623 0 R /XYZ 72 536.234 null]
 >> endobj
-3328 0 obj <<
-/D [3322 0 R /XYZ 72 443.944 null]
+3629 0 obj <<
+/D [3623 0 R /XYZ 72 444.07 null]
 >> endobj
-3329 0 obj <<
-/D [3322 0 R /XYZ 72 390.602 null]
+3630 0 obj <<
+/D [3623 0 R /XYZ 72 390.761 null]
 >> endobj
-3330 0 obj <<
-/D [3322 0 R /XYZ 72 296.247 null]
+3631 0 obj <<
+/D [3623 0 R /XYZ 72 296.433 null]
 >> endobj
-3333 0 obj <<
-/D [3322 0 R /XYZ 72 218.497 null]
+3634 0 obj <<
+/D [3623 0 R /XYZ 72 218.715 null]
 >> endobj
-3321 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3622 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3337 0 obj <<
-/Length 1011      
+3637 0 obj <<
+/Length 1044      
 /Filter /FlateDecode
 >>
 stream
-xڝVKs�6
��W�Q��>DQ��M�N���`�=�=�Z�˩
=
�� ������\$A��?�^����N&����;#w�猧0����EĊ�����]~��3E��^m*A클V�dƴ1A�8I3�ݾ�;
�)]'�(�c駭��@{Dž��4Ҵ�P��4�l���
Hf
��
�O�Vh�H�s���%��)�_�t
�w�
2!�3
6K&�,n�s�/��t�bJ�Q���~bè�,�岡�U���{ϺX�S��R��g$Q��iPA�/h�d:X7��
FUd
�j�0��/s9��!p^��hci���ܱ�	��Kt��]"R���w�l7l�Y�B
�mo��m�@T�	���7�]� o����k�Wx>]ƉiԠ��6+�7���_
s
ʖN�b�
P�:[�|'�pF�됼���fLhyV����2�c��������z���A
��ɵ{��q.�ڀϐ��o�x�i�j�3�mz�E
�!y��;@
���z������&9D��D�yVP�/�ݬ�$�K�J��>�x���_1�N�6g;�ڿ�ݤ��`ɆI������j�h��"]�n���iT}��\���o��T���6��a%��"�
=�He��H`X.팉-�Z�1s��y\�[� $%�0,�պ@#�4p�I�i��� %�x0pV�H�r�1{&rTr�(*������L?OPYDې��P�P
 �a�P}D��8��|D|JշT7�N$�:~x*ۣo�q�xV�7�h]aJ1���k��	���p��	�
 jND��a��<z��Ġ���=�����Kz9
�mHBB�P����6r�������
��І�]Y��O>�(���o��DOj?
-8m4���O���kR�eK+��y���c4�M�*�L
�*���!�K��̹��~��Ε�q�� �~kKwI�_����L���{k���J��:sX�g

��
�
���%�'H���|p>��u��iF�)	*�/>�^|;/��endstream
+xڥWKs�6��W�HΘ(�|�I�Mgr��
�
d��5�DU�
��gw� A�����D v���[��۫�)eU
+�\r�LJ�����j�1U�J
|�:�t�;��"�wF��I$I�Aj�g�
Yօp�`���6��[�6
���;����,7Ҧ�Y����A�f��&m�2�
�:��b�
���_�}�rohϗ�탿JԎ��+)���

�EMn��td
5�#ނ�#T�P�$�?�&�_/��0�:ɟJ邏�?5a�8ak��d]�?
L�&�U��şn��T6}��6d�t�-����������s�;�
+[
��V�P���
��Mk�	�#�-��
Ӕ��+�\Yan��3��F;J�O>uh�S���5d��L���y��cL����,w�P xz�~p`�9���Fk_~v+@��聦��[>EwZ�)��W)Ξ'�Xe]���
����S�\��U�� 
Ÿ�B��9��i"�
"�
D ���#<��D�IQ��!o��"|�!H�
)]���^�M������r�jQ�#}@����
�6�+�-YB㇦�Hr?�W��2�]�+I���.=�v[_���`�,r�?j�����N#
-��'�UjD���WmjV[��
Q��z�
��с�c��J8A��鎱�lvџ�E�9�/�d�0L�}�D�D�L�V��,
3��U�A =7hH�
�yp!>\y:8�+.
 SS��˃��4f����ݣ���X�ߊ���KY�{	15�#��>9�L�����1��9J��
WE�y�P�9��
���t(��s��u�����Z1��_.[~&h��~�����v� [...]
+endstream
 endobj
-3336 0 obj <<
+3636 0 obj <<
 /Type /Page
-/Contents 3337 0 R
-/Resources 3335 0 R
+/Contents 3637 0 R
+/Resources 3635 0 R
 /MediaBox [0 0 612 792]
-/Parent 3334 0 R
-/Annots [ 3345 0 R 3346 0 R ]
+/Parent 3609 0 R
+/Annots [ 3645 0 R 3646 0 R ]
 >> endobj
-3345 0 obj <<
+3645 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 352.993 158.19 365.612]
+/Rect [141.179 353.162 158.103 365.705]
 /Subtype /Link
 /A << /S /GoTo /D (section.8.1) >>
 >> endobj
-3346 0 obj <<
+3646 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [141.24 328.252 164.043 341.204]
+/Rect [141.179 328.419 163.949 341.362]
 /Subtype /Link
 /A << /S /GoTo /D (section.13.5) >>
 >> endobj
-3338 0 obj <<
-/D [3336 0 R /XYZ 72 720 null]
+3638 0 obj <<
+/D [3636 0 R /XYZ 72 720 null]
 >> endobj
-506 0 obj <<
-/D [3336 0 R /XYZ 72 720 null]
+502 0 obj <<
+/D [3636 0 R /XYZ 72 720 null]
 >> endobj
-3339 0 obj <<
-/D [3336 0 R /XYZ 72 671.714 null]
+3639 0 obj <<
+/D [3636 0 R /XYZ 72 671.745 null]
 >> endobj
-3340 0 obj <<
-/D [3336 0 R /XYZ 72 603.927 null]
+3640 0 obj <<
+/D [3636 0 R /XYZ 72 603.99 null]
 >> endobj
-3341 0 obj <<
-/D [3336 0 R /XYZ 72 550.585 null]
+3641 0 obj <<
+/D [3636 0 R /XYZ 72 550.68 null]
 >> endobj
-3342 0 obj <<
-/D [3336 0 R /XYZ 72 472.835 null]
+3642 0 obj <<
+/D [3636 0 R /XYZ 72 472.962 null]
 >> endobj
-3343 0 obj <<
-/D [3336 0 R /XYZ 72 390.602 null]
+3643 0 obj <<
+/D [3636 0 R /XYZ 72 390.761 null]
 >> endobj
-3344 0 obj <<
-/D [3336 0 R /XYZ 72 370.76 null]
+3644 0 obj <<
+/D [3636 0 R /XYZ 72 370.923 null]
 >> endobj
-3347 0 obj <<
-/D [3336 0 R /XYZ 72 293.01 null]
+3647 0 obj <<
+/D [3636 0 R /XYZ 72 293.205 null]
 >> endobj
-3335 0 obj <<
-/Font << /F67 564 0 R /F70 642 0 R /F26 548 0 R /F78 924 0 R >>
+3635 0 obj <<
+/Font << /F114 560 0 R /F126 638 0 R /F29 544 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3350 0 obj <<
-/Length 133       
+3650 0 obj <<
+/Length 140       
 /Filter /FlateDecode
 >>
 stream
-x�
ͱ
-�0��Oq�e�ջ\rɨ`A'��"b[p���?6ݿ��P�~H�d٠� 1S,�NI�B
oxqA��q���|0������Y�Z(s��~YV�8���s�6����J�m��t�>d!5ު �15�
k�:�"�endstream
+x�
�=
1
ཿ"c;4wIӯQ��
��8�w.r��S�@��$�73LD,�K��ǂI"�Q�
A����ۻ#��:�أ�wk'��XF/�
�|�鶩$���N����0q"�1�W�0T�0J��ՠ8jq�����r$�endstream
 endobj
-3349 0 obj <<
+3649 0 obj <<
 /Type /Page
-/Contents 3350 0 R
-/Resources 3348 0 R
+/Contents 3650 0 R
+/Resources 3648 0 R
 /MediaBox [0 0 612 792]
-/Parent 3334 0 R
+/Parent 3609 0 R
 >> endobj
-3351 0 obj <<
-/D [3349 0 R /XYZ 72 720 null]
+3651 0 obj <<
+/D [3649 0 R /XYZ 72 720 null]
 >> endobj
-510 0 obj <<
-/D [3349 0 R /XYZ 72 534.172 null]
+506 0 obj <<
+/D [3649 0 R /XYZ 72 534.169 null]
 >> endobj
-3348 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R >>
+3648 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3354 0 obj <<
-/Length 1757      
+3654 0 obj <<
+/Length 1804      
 /Filter /FlateDecode
 >>
 stream
-xڕX�r�F��+X��!`�뒒S���.;�bW� �CrJ �`ђ�O����iWr�f����uC/.���J����,�f��Y�f���(�g��?���~��BO�+sO�,���]�2
f����0b�W�"�����
t='�����Xb	���z%'�����4�SwɊ������i�gi!z�D��J䵦���J��AK
-pf6B�[�N[�1=���}J~F�㩟�y��;a^5"�B�,
��}MW�n~�*���_$N{��0MY�y��B�2L?�P�*��=�طz	M���Y
�3��p( {���V“���M�p|��"U��VA"Z]�JsB�E�i��r�=x]�
��{Ê�ٕ�J�+sK���m9��ER$�
-�� �>H��0����c彼�WH�ʽ���;�ާ�M7]o�e�S*$I1[P��X4�Ԭ{0�
�V�� �ς�'�_1E 
[$Y������7s��4��~J��-���b/W���3g7"�G��1���'|�v���Wyj=��ՇJ�
B�F
���3�R�rQ�U����\SE���5�Цo�N�ל�G��Hz��N
�N�[�e��2?�#�Pk�
��	�{�[��&-%2�T)2� "˲�T��lꮛ���m�h�dmj����G�^�!ol��r	����Y�t%,�.W��v�ҽ�/a����|��V—-�ɂ����{ [��f�*�J�)�bB�{埱��Q�
�]%X?�4ލn�fɡ���=�R%����dF
��Z[)P�R��`��5�_�x3O���N.�-{L6\T�ZĬ4�>Jb(��(9�0�.j���V+���
�
R���T�
��f
�l���_s w
V}/.Y�� ���V3���aS�n
���$%Kyp�-�3
�Q�Iz��ͼ}�\Wz'�IВ>A*�2G��Ra0e�DG�+H,>���"���ze[�؆
%M��*s\��q�z��f �,v����M�
�����#�lo:17��F|$�N��5y�6uc�L�N�%��*�ZKӁ���S�97�
ꌽ�s*(��	+��=;�D]�,M{#;AO����U�Ymm0e�
:�m-?������Qb��;�m��G��<1��'Ӗ1�'7�ݚ
��2�i[�B�l����
tW7�N쮂$�4�*Ѿ �
]�B$pI��������ru���4�ij�3t�[3F')��F�ΰ\��0s�|d8v80�V(Gsi]���t?YJ��
-�@�"�S���I��_H��ᙂg�N����1�eS�s�� &㧑f�5�,,4,T�*� B��\Jr���o
{��{�nE(vlzIhYD8�S��x=�?m6�1�r�J'k��U%	#�C$v,�ǃ���P|�^>��ő	"���<
�T�����>�F��#� zq�������k��7��.Y�ܓ�C�Ʃ��ϯis�N6[�X'
d6�Y��H��$�6���
�Bz~
��c����ߘ"�yb�Ϡm�԰�sj�'2 l�Y\�.S�3p����Y@#�SW���ȅ�xv��
-�v�j�H0��2��V�����A�Ge�
�Qa�
댾�P�-䶘>q6M{S�A�p�B�A�vP����~{Y at G����+ d��{����
���c+s��u�5w�O#��?b�m��HSn
-�l���ز�D��Ľm&�w�t#������sJ���P
ޮ�
���dy�¬���w���$�,̹Jcm0�?���냏�Qp`S򧘸",�z��"�+�O�H!�~���ٿ<�/�endstream
+xڕXKs�F
��Whz	51�%�$s�8�<\7�4q�i�
h��4�%W�����x틒����>� 
| ����ӗJ#]�U]���J���Ӽ(F糿���JnoǓ\%�j���w�Tl�}��(M�&�UN�/�M�l��j׭�pf
�k���!���]�s�t3\,�߉
��E��[�(��SU�U�ځ<���4N�>5�(�
���7^�5}4�
��Zd|�?D�nC/� ���*
�|M�����lͿ��3]�5:��@�J~f�)�6���֩*+��i\�qm@���B;�	�L�I��"*ޑ�6�
�qi�û����?�7R�}��%��g��`mJR=�_T��F��OƓ"3���w��D'˯ZQ
=�ɒ3<�A0oe:��[����o
[u��&2w�
p�D�0���r���B��>G�
�L���JڱFb,��=&� %T�A�������%�2�%��|�(�m>�WϷȜ�o
 Q�O�y�~Q���
�`!2�����{*�+��D��\
������L�_�x'|������r�WU��Q�V)�w�k��Y-��7~�\:�t&þ����瑳�
�
?������7�_��[1�F�ǘdn#�1/���<zf�g)�$��AO-ܣj�|�u�����J�I�^�pWn�hg�����#j�q@�wI*Id�m�|�.=mx�~�-�@�Mc����#
+���x�{{&v'6�-8����5��%4\�
A�Hu.���"I�m�.b񒳈7��T�#��'�8�.�]��;� X�'S��"dL�w��K�����2|%¢���u�~p5$���ǹ���l��<�
s#8�.y�^��>
:Ȓ���Mr��C� �L���$rmw����0�hJ�1���Vnj�gn�B���5�‹Ld:�qX䃍��}�r�Y�
��/�s�ϲ��P�;W�����ƥU��"�[�%�J�>�YZeA�xJ���R��-
,2�|"
gR��"'��� {�j #U��b�Ml���ި���Gk!� �0��~h��2J@Շ&+j;��=H?�+z-�������	l�����>N�L�:뱀�=(�`a���r��8'�[�a��{
%�
��W\�X[	��sڷ4�l,���,u��9!�,E�F5��Y����Q��aii*��`/���X\J̣+T��C�
z�\�@s�
 ̻
&
��J,%?8(
8=�&Q�T�&8�:�X���
k1��>h��j��_�a�o�c�;����{^��U6����,�/<��K��E��CU�Ը��)��Ċ�D�
\�aר.��/.$;��,8~�c�.g��:�ư7���2Ot�Bw�`�+��i%�U�op
�>�
�C����M��ݺ�r��/�\����~^r����dh����8�.+N��Δh�0!�>�&�UԪ*���*��
+z�K���q/n{�0��{�R�9;����&5���+*����2�Tmq�
6��������oxi����@�I��1VIG��⌖�A+����^�Tz��H}�`�h�|t-
U�+.]��D
W�qn�c�'���� �#� {[�k�=Z��������xJ���!E��
+�p�]	���~�K ��Wbؽ��UMP��*y��Xp�=��[WrH��<
1����D����`�Cr�ys?Z"���Qw�0/K�>���™~����Zwڹ�^�B�I��
X2�j^eؤ�ځ�?\0�����JE�Sq
M�V�WOl���k��/~=�3�y�z-�[��i���;t�]K;/�c����%�/�|+��)�� ��:�w�9���H������ �,)mendstream
 endobj
-3353 0 obj <<
+3653 0 obj <<
 /Type /Page
-/Contents 3354 0 R
-/Resources 3352 0 R
+/Contents 3654 0 R
+/Resources 3652 0 R
 /MediaBox [0 0 612 792]
-/Parent 3334 0 R
-/Annots [ 3357 0 R 3359 0 R 3360 0 R 3361 0 R ]
+/Parent 3609 0 R
+/Annots [ 3657 0 R 3659 0 R 3660 0 R 3661 0 R ]
 >> endobj
-3357 0 obj <<
+3657 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [174.732 424.669 361.282 437.621]
+/Rect [173.165 424.688 359.504 437.631]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://GKing.Harvard.Edu/zelig)>>
 >> endobj
-3359 0 obj <<
+3659 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[1 0 0]
-/Rect [441.052 263.816 460.439 277.763]
+/Rect [441.096 263.837 460.459 277.671]
 /Subtype /Link
 /A << /S /GoTo /D (section.B.1) >>
 >> endobj
-3360 0 obj <<
+3660 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [431.816 129.119 568.818 143.067]
+/Rect [431.478 129.114 568.276 142.948]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://hpc.sourceforge.net)>>
 >> endobj
-3361 0 obj <<
+3661 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [257.231 115.338 288.488 127.957]
+/Rect [257.26 115.338 288.483 127.88]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://developer.apple.com/tools/xcode/)>>
 >> endobj
-3355 0 obj <<
-/D [3353 0 R /XYZ 72 720 null]
+3655 0 obj <<
+/D [3653 0 R /XYZ 72 720 null]
 >> endobj
-514 0 obj <<
-/D [3353 0 R /XYZ 72 720 null]
+510 0 obj <<
+/D [3653 0 R /XYZ 72 720 null]
 >> endobj
-518 0 obj <<
-/D [3353 0 R /XYZ 72 533.86 null]
+514 0 obj <<
+/D [3653 0 R /XYZ 72 533.872 null]
 >> endobj
-3356 0 obj <<
-/D [3353 0 R /XYZ 72 476.48 null]
+3656 0 obj <<
+/D [3653 0 R /XYZ 72 476.512 null]
 >> endobj
-3358 0 obj <<
-/D [3353 0 R /XYZ 72 347.054 null]
+3658 0 obj <<
+/D [3653 0 R /XYZ 72 347.096 null]
 >> endobj
-3352 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R /F78 924 0 R >>
+3652 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3364 0 obj <<
-/Length 2260      
+3664 0 obj <<
+/Length 2213      
 /Filter /FlateDecode
 >>
 stream
-xڥY�o���_a\J�]~E� �+.U
�H�Z�-"�Tt�_����R��8)�"������̮�z���M�^�������*�Wi��A_����}دB�=��a{�be���f��V�U�.�Z��?��u����\��q
����Z��I ��~��yDdm굴�(�}�����R �
�����
 ��QU�y�m��)��� ���a����#�3^]=�p�5�
���X��k{����
�ʚ��fe���
0��<ރb7��y�N�RtE�
kf�
'��ZG�e��&U�2释5Lù� ��	��|�w��`:, �H(`
��[���J��e���
媬et �Jl�y]����ZP��W
������`�z�
-
�
��I�q� �n�%��g���?>�1��r����|�͙�Sa�,�N����b'�]1�v����mÙ�aN��
b�������0i�r'��4��4
�l����t;� �}fC 6S%��i�Y��.�cﭲH����os��}���}wmS.�uWdxW<0���e^q���P���ZQO������0����4�\
����$�Q��1�z�^�
�[+}(�C�0C�N��Z0r��}E����zL
9�u����}�^����A
�&�[�L��51i�u·�n�[g�b�^�B�de�QS��Z u�G� �y��(A��eb%:
���
�d�Qb���ޘ%e��B&�լNmi��N�TV*�V
D{m��ً
�zPW
J��;��R^��1HP�Ӡ��o���9�av2�e��4�
�1˼c�i4�9�]R�s?�B��K�P�]�
c߆V������i�;T���Rt'�z�{�3���eJxj at U�^H̢��:.�{�H��֕����-h��ʚXb��M�A�?Sl��r�	�w\�&���]�L��e�D�eG�ȷ��<�L�^�q�y 
}]�{�ݝ2pW�����%w(.:
-��|b�$!#8�6K���ԭk���8��`#
S�[��4�n���Sp�D���"����O�	oƄD;U�n�'��{!��M�Yq	
.��lq@��9W�	m&; ba�Ƅ��F�6Kɯ����
&2��(mhL-����8�!"�y��
�Ci
-^p��O�o
��	�r�T��bx�&&�O?Գ,Њ(��;��ZZ(�M�Zc���5[1��l�h
CC�g���
T�
-F�_�c�>k8R��
��X�t�s�~0Z�}���0�^��pғ�J��CJZ1����?��b��AV7�y�א_�_�;9:�tZ6M�2��{'���/��
�2�.5k3�N�J�*͸~<&���p���6� ��2oG
W�ե�R�Q_����r�/
����Q��r8U� 3x
WuL�Ҝ�7R� =i��M@������v��?
-��r8��jp�Rd��Y>c�oWj�'j��0�*w��l�
)ڿ���V�^�~GA:�5�B��3
���sI�sKs�Q�ɝ���,Ƶ�{
c
��N⪀
 �
���t��A��3%�%%n��g�@�� b[wR5��j�/ڶ����������s4g�0V�4�d��ͼc#��y��.�ܣ�`���%0�`_�?\`���b��Ó��
�pB.�I�|�͖��gW��y!���<��}9Ȓvp竈�0ב�����9m
.A����ܧ2H/��އ�[��Ab��h\J��2%@Kis�*oE/=�\t�ں�F����ѧ��־��_�Pv}ŷ�^�Ïe
_zx��@;hӽ���A��(�#�Ꜭ��鵬Ϻy�NZ,<���>"y�ֻR��7p�lc�^��ů
\5�f��
�"|�&8�w�#�iO�P��r�,^��l��;~b�ϢXnv�����&��ȵ� �R��~��m����7H#��0�9݁���}�
H7w��
'N�K����f�oL4��-{쪻�4=Ĝ1����
�����ncW�Sv��Ǯ}�*)����u�d�u����7�4��E�I޿|�MHx;��
�Pf�5�Vl}��%�P?w�hr��Qzv
�����!�W.���/�FD��	_v
d��\��V�I�6��݀�׷I<������ݦ�$f<}d� �����8��
-��+IJ���;�L�B�-�x?�8��t��c�]p�x��
��XI��D�~-�' �`'/K�R>�c1���<�?��
���a����2<�&|G���tV�kl��}k
�0�W���r��W?ݾ�/2�R�endstream
+x��Z�o��_a�� �&���(�~�
����)��,�-�b��Jqܿ�
���p������w�!��7��l�r���ژ���*ˋ�����^��R:w7�N>����<OgY�O����l��9��;����6
�	�|
+�07���_7�����1�v�苙�ʸ2�xw7�ٺ�\l5���Gx/&받�
�48����t�Īy����I�^cYL7q�����G�4� �m��i~�Ð����n�������+��H�vM�
I��/��D>�闘YIx=5����~�ռ����
+c��``��
\�
�H�YCZl&`75�����̚H���hǍ��c���i�\&v�
�d���Y�r2M���	��"�Ȃ��X<�E|D�d��%@�C�
+�	�v

*���"!
+�]�^��>@�@2<����?��L�n&�?7�N�
+c
��GI�)��8��jY�LQ�>�?����J-D&x9�?���Ba$��^�=r�9�L��.x�iV8y����{ۛ�Y���G����	����K�X3v?O+
�Tv���9�/�K�A�
�6
u�E`�#	���g'��3�s���;
�7�\��R�K�艽�lF�ҭ_+S*<mB7�<�w���{��JP��a䀛����
1�<��^�'��
;�Ø��߹��3�3�&8m��t�����~��Y���C�>F��[
���;�W�]�YV�
=LM2�y���Ob���@�8�i����@1�c���	d���X
+GR�ѱ�����;�R����ޕ��\x�:��|�5!o��9�
f�܊ti
��ү
+��]�<Flj����%
x�Fi��X��&��ժ�rZ��f{��`�9e
�w�g��#k#µ�_�-
o��]X���!�Ex�C٣�����
+[��z�d~\Z�t�m�P 2�cf�L[�[\�8��G�� =?r�����gӾEZYGx�9�
���!��ȩ��#��\.��-Z.�B}��:N�DtK4dsbU(���3'�\8�\A�ަ���Q�W� �m�
@����9�?+�rYEE�\�z5�L���)��j�c{��ɔO�$�UB�B�W�BY

��e��)
��J :��޾��~�B���6CHeu
�tϕRLJi[��d쬿���K��X�
9<�<^���ڿ�tinsUWE��kQf7!�&`�Ui�KB�]�� ���p����R���_��8ϔ��7�ĺ]D����� ��o
�qzҧ�?ꬊ|j<���̜�n�es�7m��]P:]�v���[М�>�
���q�]lY�7�J�JN�����K���Kve�a���`g�->�R4��n!|{@���~�����Z�lk>�|���E�������(N��\�X�|K�d�J\#(�}Ψ�D�A�1
+ٞ
~��
���+�_ъ'a���`:2`�M�A32�tt����ӲC8]0�
+ɟ�JU���ݠ��YS1�R����$�ŵ�RP6���&��mRH�$��}H
+	m17pPފ�BV|��bv��������|&�db(�����˨
h4��9`�Ӏ���~�|�LV`��
�C�	|
-�>��@�.�E�{�h��`�@��]\d��z�v�Άv�l���
��R�C��M�?��o��O�O��$/�&�Uwx�{��
��Y�%}E+��7������z�pa�R�s'*9��y�Y�|K��CIX�����Y^��_�5�?��s�
=:˃)
ES{);}��2]�ʻ���S@
+�g��DhoH�!��~�
>�S�yT_�����5Z�L�Ī�\�c	�ځ���F\�C���q�IL����3��s��Hg���A?r�5`�E
���w��,ɱ&?
��������,f����Y<s�j��H�HI�(��%�!�Q��7*+�K�R�� �=qU�jjǗ7ْ w-��G��G�F~pz��j*�'��8��B߬�UYX���z=����ȼݓ��B�E=�Fbc������=4u�Hx�����Z�0m��0m�
`�:����q8p`0��N������7Ds�}��Zh�Rr_�֙��-\�z§�j��)n�Ս?Wf�$a,
L�&F2A�9j�,�j��Ev(���>Gf���J������t6 v�A'��Ӊ�=A�����F�:v�j
���+�H3'�{����ݞ,ի�I�T���)������D��YZ,���w7o�
3H�0endstream
 endobj
-3363 0 obj <<
+3663 0 obj <<
 /Type /Page
-/Contents 3364 0 R
-/Resources 3362 0 R
+/Contents 3664 0 R
+/Resources 3662 0 R
 /MediaBox [0 0 612 792]
-/Parent 3334 0 R
-/Annots [ 3367 0 R 3368 0 R 3369 0 R 3372 0 R 3373 0 R 3374 0 R 3375 0 R ]
+/Parent 3676 0 R
+/Annots [ 3667 0 R 3668 0 R 3669 0 R 3672 0 R 3673 0 R 3674 0 R 3675 0 R ]
 >> endobj
-3367 0 obj <<
+3667 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [454.601 681.893 497.23 695.841]
+/Rect [454.561 681.903 497.21 695.737]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://cran.r-project.org/faqs.html)>>
 >> endobj
-3368 0 obj <<
+3668 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [358.593 668.111 401.297 680.731]
+/Rect [358.598 668.127 401.25 680.67]
 /Subtype/Link/A<</Type/Action/S/URI/URI(https://www.stat.math.ethz.ch/mailman/listinfo/r-help)>>
 >> endobj
-3369 0 obj <<
+3669 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [213.166 653.665 343.014 666.285]
+/Rect [212.934 653.681 342.583 666.224]
 /Subtype/Link/A<</Type/Action/S/URI/URI(mailto:r-help at stat.math.ethz.ch)>>
 >> endobj
-3372 0 obj <<
+3672 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [311.382 186.725 540.996 199.677]
+/Rect [311.642 186.749 540.996 199.692]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/bin/windows/contrib/)>>
 >> endobj
-3373 0 obj <<
+3673 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [100.269 172.611 151.477 185.231]
+/Rect [100.269 172.638 151.42 185.246]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/bin/windows/contrib/)>>
 >> endobj
-3374 0 obj <<
+3674 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [360.598 148.787 540.996 161.738]
+/Rect [360.801 148.805 540.996 161.748]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/src/contrib/)>>
 >> endobj
-3375 0 obj <<
+3675 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [100.269 136.002 151.477 147.292]
+/Rect [100.269 136.021 151.42 147.303]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/src/contrib/)>>
 >> endobj
-3365 0 obj <<
-/D [3363 0 R /XYZ 72 720 null]
+3665 0 obj <<
+/D [3663 0 R /XYZ 72 720 null]
 >> endobj
-3366 0 obj <<
-/D [3363 0 R /XYZ 72 697.534 null]
+3666 0 obj <<
+/D [3663 0 R /XYZ 72 697.551 null]
 >> endobj
-3370 0 obj <<
-/D [3363 0 R /XYZ 72 612.287 null]
+3670 0 obj <<
+/D [3663 0 R /XYZ 72 612.333 null]
 >> endobj
-3371 0 obj <<
-/D [3363 0 R /XYZ 72 223.695 null]
+3671 0 obj <<
+/D [3663 0 R /XYZ 72 223.738 null]
 >> endobj
-3362 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R /F32 668 0 R /F70 642 0 R /F78 924 0 R >>
+3662 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R /F35 663 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3379 0 obj <<
-/Length 2517      
+3680 0 obj <<
+/Length 2549      
 /Filter /FlateDecode
 >>
 stream
-xڍYm���~�b{_�֊�fI���%��= ��"�6E K���,9��/���gf(�^o��"��p8���ܾ���Ur�G^��n7WIp�,So�W��f���ܟ��"L�ٝ�+�m�����=Hmc�X��k���E��yHcD��
v/�M��ܽ���߷���`u��^�`y��'�����|�٬�UVZ����(���4�� �5Ѳd�S{g�w'���}>�ٳ,_�'q#>��wjd�3����@�Sg�|��M#��]�K+�o;����������B84� �	��w̺�H�Q�X �4�Λ/�0�}���Ռ����jn����fodXN0Hg��J.=�|�Z�umJ�Q���(�So��$6����CZ����
�^�ҙ�x�(�q
N��.A䭖�ȆOG~�
M���P�K�B/�2�U5S-��a�ED��ىi
y�wO�/
�B�3:Z���:c�XmS��D��ޅ.v��A~��Zؓ{�ʶ�d�(]�n�g�
r;1
���6��1�N���L�`
�
-�HH�h�)��~#��Z���ْ��O�
��"?�XO�yaU�B�RFF-R{�̫�Pz�=���
vGڠ����d������ E�G'�=8m��
��
:���XQQ�~|��۝�,ش5���%'�ޮ��Iv�u/�k���h�9�� ��Q���o�Y?�&
�:?`�v
���p���_�<?N|��q셔P���Lt���N�[�f���P?��;3f<5�4N�
�'K/N�/F`����BC=����tξ+]S[�=�

H[g
�I[�T�%Y�Y�e�J���
��d� ���:
1�U�O")�.,9�0�N���=K���w�lɞ�2,��Yw��!^X|V��UH�r0��w����ej�Onﵐk�*Nw��DX��ဨ�R����Cg����k�_[���U�#JVc>�"
ҏ`Z
�B"n�9?��\�XM�Wo�1������i{f��
j�[�w��d.�3�e
]ۛ�)e�V1[���2��t&//�Y�O�6�8��
}<`�u
-�Bk7�
WC���A�G������g�L�.���R�ʼW6�0IR�!��cV��egh�D�b�B��x�w� 
-�GK _脋���~

�c���9���BN_���0�(��BsUBvDi�r���h�FHp�'SN$�F���;��H�k;tҨ+��N�zi�Mg~T=�H��u��
-M����(ƺ7
6
���NH�����P
V�b� ����9=�l��%r�l1X�j�x��|Op/��
̅��[
-�
-���ޚ���~���)�b��n��8e9@�p��� �`��t����|3� U��˱ ��4���<
fʖ�K1��g5z(vXۢ����
-W�w,;�]�
A�t�s
-�%�$�bb��[
\��u2O��d
-$� K¸5��]Ѩ��K|�7T�
-e���(�{.�hy�_��K��r�P�$%��R@���s�$�X�7����Otb�u.W2���@�
�G�t���~Y�hc� ��
U=�Fb� 
��M��	}o������r	6Ă��crᮔ%�2I�=�X@�
�(�|,�'�Z%�*�GM�vV��D�I��~�@5K�c%�
-�9#����z)�޵
�^`��H2g��z�"�
IG̔�E*��`��	�*���ڮ�uL�}��H$x�0�/|H5�
-�����ن�/��͗��US�՝/���\JI�=�/�<ވȕ��L�u�^���̺A5�NO��Yp2���h9���c��0��8�� d�\5�oL|�g�Xd��d��=+jY6Y'}�H��çki�<aT�E�z�k�����~�2zs�_mW:t�����xjI,�ê��[s���p|7-+h>��%	��zyH�l��L�����m�%
�KG�Ne�};��h�F�)���|]�:��\ܞ�5R�
-�X�e�[N��V7̽�
eh��Up�
kjQԕ�׌#�5�T&�n�s�|���W�Y�H��S�C%IvƳ4���t��^
%�`޽�Q�|o�Cՙ��,���zI���BC@ί~�Թ,�
�k_I�}+7�0� �0t
-���+@��MYM�L`��sv�C�V��5�!���۹���
-yGw�����<�B�m
���@S�D��Feqӛn��™����
�����=�GG>Z��M
a�~�q��}�L%j��"���y�A�Z�׵
���>��R=-��?
~�`�~��O����C �
Q���v#�J������IŁ��
���]�D1	&�y at x�^D��s
:�������p��
-)����{�T8QD����_0mΙbo��x��U��L��4����c2L�hP���&X��xZ��LJ�
�(;�7M<�2
�/�s#�"o��i���Co|������E�
-t�7o�֦��;i?�
)
�ӤI"ɛ������ ��}��f<y �
<��O
-<�૫Ɯ�6�PÞ¹��OB�}��tϧWA{A@;�(��0���7�ƕ�endstream
+xڍ]s����~���H3'�K.�nڦI'I���d|�dzM'#S��ږ\Q:�����.���{�E�b,�~{���&�-/��UvQ�u����j��ه���
௛/�}��{����\��5<
��W�Ķw[+z��
���<�bӻ�O��4���?��>k.�I��@�ҋE�%�������"k�Ҽe��[R�K�����-=�n�t�
��E��c����xa�󬞽8���S����bAČm��D��Gws�r)
����v�E�N�x`Ig=s;��	��O{�B�ْ�@�(JзE}�(?juZ8~�"�|Q�l�~� �ɽ"���{��EN{k<����[���-�3C��i�_�rVc�R�Mn꤬
���;���oD
C�Ӥ�
+>�v
+'`��g������&E�xl 
+��>��M�)���	�yR��	�*{a�B\\��i�Ŭ�ݡf����m���k9kz�扖/v��L
��yo�m!\�cd�x�i��J��?�
�҂C\z��Kǵ�l��J�Xw�^DA�-#��s\l
�d��i�;��n�� .�Ot�̑�����~�S�O����8�Mb�gy.IwSb��|�f��w��߻)[�x
�J�7�����Hċ��>����%K�ST�vcʤ*r��/'#@�����?��I�
�p�ȥ�� �&�ւ� $�/�c���kYF��EJVG������,����9m��o���[J����5���O�$}Q&�\_�\DZE����^�$��m�33�E�c��7��
�����ܼTE�
����L�&y^~N(� PB��l#��1þr�
+ ��ݥ���o�nb�K��ݴ)6YR�u�m
���O��Dž{�3�n�d���\���
k&<�-z\�0�s����C:�g�Fn���_nw��l%@���-W��KoIC�_�i:�mB%���\�eT��c���>�0��?��ͭ��M��*[�(
ڸf_��Dc��
v[1�(�Aw�
���yž�8�!��b��h"Q�F�g;��)"��
��2e�җ��>�MH^c���L�i^�YMEt��CWϠ�ٹb�N��rA C�1tY��cX�`m��r��_���ʨ�:�9�Q@@�6�#m��RԸ�B䣪z�6�QWuZ.����ی_-z�m�ӑ
-�k
x�uTϩ�i0��x��u
�
�@\��I�ܯQY�l�Ϯyp�*3�����w"�b�y�VT���E_�!l3�k���>���tc�%��Hp�3��jɬi��"�
� ~��
�ߺ
�(a�9'zcVs��>��n�S ��c�`�]��ɸ�^�V���F]0l����&
+@�6^����ʸ��>0
�6URMOо
 ��x��A�
Q/��*�[�C��
�oi���ݸ
5��y��΄�(�f���`%ĺ#�վ��$+
���Qբ.��4�ҥvsB�ʍm�M��٢

+bh�v��4s�p�s
w�d�θ�;مC�n�#3��z�9p�d\n�n�<&�QC���w�|��LU'Y*
���`~�Jw�>��)#�wϪ��$9�-���
�IO�bG�}q��^�q at n�޳�V��Ѕ���G{�|D�"����TT������SJ�pP�f��
Զl��Ҍ�T��7���i��IUF������^���o���%�q՗���tN��&
����i�T7�r�Fi>\�����Q�
�)�wd?��M`��c�!;e�D*y�B��&��b����d�&����d5�z
��F
�89:A
}$�=
�n����k5F�)�._�.�X��X���P�䋳�ϦY<����\6͑5��LK�'��j��#ZB����I�*���%����[���N��D:;qWI����:œ��&V�r��XAp�12<XQΈ��j{�e��NP�_��Y��U�=�&!M��DH����ڋ�߹�����#>��Oyv��]?�g�vu#jbqlTn�;s�&܀�>�Y0 :l���(3(�%Z����]���q�W����h�J����)[�1S���\�t?�*xܨ��Q�f:
+�+-�	�WH���w��SG^�0��(N��B[
L�|�=D:�K�Y�4���g@'��6��_M���O�q����/�P�>��׬�@�hB1��n�rxu����2&�AK���B%Ģ��Ž�O5ON��ZL�
+}Nj���0
�ͺ�p����u}�(]��|$�ֻ�`�)[j��Ag9�o
�a�2
�
S��,�X�d;/ꍎoCM���nn����q�Y�w��PsUi��
x�?�(2 ����������&��w�<
+�;=�C@��´
��V&
+��?x���^w���&��c������9�.
 ���ߺg��+iY��4����D�ʣ����v��3��
+��R� �+k^,䃱
��*�H#�.�q��@�J,\V(��x�H#��t��]RE]ZAܽ|����@�9
BXj�TY��:-L�f�m
��[
n��o���#�B�؍�PA�ո�����_d.��H��@c��x�9�滫7 ��'endstream
 endobj
-3378 0 obj <<
+3679 0 obj <<
 /Type /Page
-/Contents 3379 0 R
-/Resources 3377 0 R
+/Contents 3680 0 R
+/Resources 3678 0 R
 /MediaBox [0 0 612 792]
-/Parent 3334 0 R
-/Annots [ 3383 0 R 3384 0 R 3385 0 R 3386 0 R 3387 0 R ]
+/Parent 3676 0 R
+/Annots [ 3684 0 R 3685 0 R 3686 0 R 3687 0 R 3688 0 R 3689 0 R ]
 >> endobj
-3383 0 obj <<
+3684 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [190.33 436.272 289.203 450.22]
+/Rect [164.812 436.314 262.01 450.148]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig/docs/)>>
 >> endobj
-3384 0 obj <<
+3685 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [317.051 436.272 386.005 450.22]
+/Rect [286.073 436.314 353.407 450.148]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig/docs/Installation.html)>>
 >> endobj
-3385 0 obj <<
+3686 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 407.381 207.43 421.328]
+/Rect [487.705 421.869 540.996 435.703]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig/docs/Frequently_Asked_Quest.html)>>
 >> endobj
-3386 0 obj <<
+3687 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [71.004 407.423 151.611 421.257]
+/Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/zelig/docs/Frequently_Asked_Quest.html)>>
+>> endobj
+3688 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [232.714 407.381 370.803 421.328]
+/Rect [176.221 407.423 312.776 421.257]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://lists.hmdc.harvard.edu/lists/zelig/)>>
 >> endobj
-3387 0 obj <<
+3689 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [391.762 378.489 540.996 392.437]
+/Rect [391.819 378.531 540.996 392.365]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://lists.hmdc.harvard.edu/index.cgi?info=zelig)>>
 >> endobj
-3380 0 obj <<
-/D [3378 0 R /XYZ 72 720 null]
+3681 0 obj <<
+/D [3679 0 R /XYZ 72 720 null]
 >> endobj
-3381 0 obj <<
-/D [3378 0 R /XYZ 72 697.534 null]
+3682 0 obj <<
+/D [3679 0 R /XYZ 72 697.551 null]
 >> endobj
-3382 0 obj <<
-/D [3378 0 R /XYZ 72 466.359 null]
+3683 0 obj <<
+/D [3679 0 R /XYZ 72 466.408 null]
 >> endobj
-3388 0 obj <<
-/D [3378 0 R /XYZ 72 293.964 null]
+3690 0 obj <<
+/D [3679 0 R /XYZ 72 294.045 null]
 >> endobj
-3377 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+3678 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F126 638 0 R /F149 920 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3391 0 obj <<
-/Length 848       
+3693 0 obj <<
+/Length 758       
 /Filter /FlateDecode
 >>
 stream
-xڅUY��6~���[( ��uh�M��C��Z��"��$������V�m�� 93
~
}sX'
-~:�V'�TR)�
�]�	l|�+X>��a�y3�wa�n����2�ɞ ���n^�p�e�\��KJ����<���ȲT����s� �����V�`Qo����߼6�
�dFɺf�0��d!dA��4͠�i�кz�(�.�s5D���]�%���43�t
Yn���RS�����z�>�Ɉ5���=
m���
�y�k�� ��gV�3Jc����!uN4]���>B���9�K�ԍ��7k���
-y��aZ�ƫTd>�̜��&͜��:�GX?(�ط���=,݀�Z���\�s�1h��>�݅"L�=�?��/��3*�$T�
)�C8�H��z���G�F ����<Ҏr7���e���p�E�@aX,
���R���Omj5RoK'��r��ǫ
�3
��cd�1!�8ޱJ<;*- at Y��
�
x�cd���Pe���0�_�վ�����HUP����|� :�������URʺDlm�4�%F����/D�KW��洧f*�Sͮd�ͬ���?s|~�"�0���L�����
{1�+O
��c�A|�
�sw�{��� |
f����06�-1�S!z4���aԲ����@�E p�L
�cj���7Kc�>��G���gq
�xqe�&S��O�K��p��h�*vm�$
ش�U�~0Z}!o ��\ʼn=��
�5V�8�ᶹDeE�p�x�)��1 at +N��,u�
N�\�\�lZ'~��8�����_/�����,��f��
�H]%����8�6��c�C�����햍]H��j
!������š�ǻW��_��kendstream
+xڍUmo�0��_�ok$��v�$@Ll��0T�w��M�hM�%�J�����IC��������U�~J(�ˬ(��c��T��@�	%���x��
X�Ӌ�h�	�q�_F�q4�|:
��J�U֊�RdZh������$
+����? u@�O�����.�o���s]���"�F�8s��j��h�wȦ��1�@͈�8�=Ɣ@�LZ
u�D&�u~?�9�݇�N��
M��#�:�:��O�Z'�d��5�v�-��]�����>�w��=�
�S�%`�G��5ӑ�K�!�Ԍ��D��y�}CYsn\��m�@+�՗�
<p���cOS{���7y4��ad����9��klcvY�9t at M$�S�]�e38
S 
�O�zF1����kv蓼P[��[W2����A�Q�<&�G����TQ��j�1BT|
+�&���SɣP� p�$�
 ]�?�CC�Y2Y HM�%��>�]-8�0�
K�ٵ����j��'��/��RY����Ot����R纫��f�܍
�t�Q��w.-D&�
�)����j���|�DJ����Ai�6D*m��6SN|���� �H��["U���x��CM2��/�d7F�r-���
E�o����S�^[9�+�B�X �7��
m�rKO����5�A��/]�� 
��9o��ռ���!���
�����Y�)�~k^J
Ř��p��>�}����5�a@"PZ�1��U�����t
�CqX��?�5��Y�
.'��endstream
 endobj
-3390 0 obj <<
+3692 0 obj <<
 /Type /Page
-/Contents 3391 0 R
-/Resources 3389 0 R
+/Contents 3693 0 R
+/Resources 3691 0 R
 /MediaBox [0 0 612 792]
-/Parent 3394 0 R
+/Parent 3676 0 R
 >> endobj
-3376 0 obj <<
+3677 0 obj <<
 /Type /XObject
 /Subtype /Form
 /FormType 1
 /PTEX.FileName (./figs/increase.pdf)
 /PTEX.PageNumber 1
-/PTEX.InfoDict 3395 0 R 
+/PTEX.InfoDict 3696 0 R 
 /Matrix [1 0 0 1 0 0]
 /BBox [0 0 350 392]
 /Resources <<
 /ProcSet [ /PDF /ImageC ]
 /ExtGState <<
-/R7 3396 0 R
+/R7 3697 0 R
 >>/XObject <<
-/R8 3397 0 R
+/R8 3698 0 R
 >>>>
-/Length 3398 0 R
+/Length 3699 0 R
 /Filter /FlateDecode
 >>
 stream
 x�E�K�0D���`����Ѝp�
?i�bk�0�@^22:btUϞ6���1�(��I�p��H�#�G4&#󅼩�,0����|BF
N(�Uj��ʈ�T�!aw��.) \endstream
 endobj
-3395 0 obj
+3696 0 obj
 <<
 /Producer (GNU Ghostscript 7.05)
 >>
 endobj
-3396 0 obj
+3697 0 obj
 <<
 /Type /ExtGState
 /Name /R7
 /TR /Identity
 >>
 endobj
-3397 0 obj
+3698 0 obj
 <<
 /Subtype /Image
 /ColorSpace /DeviceRGB
@@ -21798,558 +52894,458 @@ mn
R0و
 �����]W��dU�`J��rֽޡif����F�
 O8�g
��ګm������E g� m�����m������E e�WJ[��]F$uTf��)$
t����C��P!H�U,�y'�bǯ�'�J(&�R�-c)ҀN�fvfc�2X䓀$� :Sm������E g� m�����ZK�[�[N�,�]� �C[4P?������?�sU����Ak� ]S��5]�}�Z��Q]&EPEPEPEPEPA,�Y���rI��'�N)�4��L��� }��у��?�� Z)rG����L��� }��у��?�� Z(�`�q0�'����F��� ���ih��=��]��������?ߓ��o񥢎H�yw���m�4`� ~O��Ɩ�9#�9��L��� }��у��?�� Z(�`�q0�'����F��� ���ih��=��]��������?ߓ��o񥢎H�yw���m�4`� ~O��Ɩ�9#�9��L��� }��у��?�� Z(�`�q0�'����F��� ���ih��=�� [...]
 endobj
-3398 0 obj
+3699 0 obj
 111
 endobj
-3392 0 obj <<
-/D [3390 0 R /XYZ 72 720 null]
+3694 0 obj <<
+/D [3692 0 R /XYZ 72 720 null]
 >> endobj
-3393 0 obj <<
-/D [3390 0 R /XYZ 72 163.431 null]
+3695 0 obj <<
+/D [3692 0 R /XYZ 72 127.997 null]
 >> endobj
-3389 0 obj <<
-/Font << /F70 642 0 R /F26 548 0 R /F67 564 0 R /F48 554 0 R /F78 924 0 R >>
-/XObject << /Im6 3376 0 R >>
+3691 0 obj <<
+/Font << /F126 638 0 R /F29 544 0 R /F114 560 0 R /F69 550 0 R >>
+/XObject << /Im32 3677 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3401 0 obj <<
-/Length 2765      
+3702 0 obj <<
+/Length 2693      
 /Filter /FlateDecode
 >>
 stream
-xڭYK���
��W�m���!�o_Rއ����\�8�L�EQ3���g�C~{�h��멭\F�`7@����^ܾI��w�(��[ߤ��7���^H��?����f�����O�(�k�>K��
��<����f�S53�8C��U;�Ӽ�����
���w��>]�W�
ӎ��dR��e��	tV?���;����|䵩�ʉ>T�F�Z�I@�Ne��_�B⒪����0��]�m�j6L�
�Ìؗ<K��O�t��x-�a[��~ߵ˺ܹb�8�!��]��M�8����G-hW9؝�NS�f9�H�E���L�v�Σ�(�F��"?�=?lV2f���w���?_�MR��'�T
-�'�����˴h�,5��H=�+t�U�z�c5lek�2���jy ��]w�qg�𝺖q���
-�ۖ2~�U��+2J�e���U�
��˾t�g/RN��ҡ�I��o��aO^�����G���As�BZ֓V��cs-,�č�~�'
�á�Q仡	ԯ$��9["J�
n�D)E͚��v�P��@�
��.]���

/9L���mZ�-
f��g���5E��'#�M1~�e�@8�ڝ$�u�w
�
-r#�ʮ�k8����Q���/��/]�*R�y���-%tb'��
�}A�uy-D�q����S�'�
6�U!?n+�����2!���Q&��^�
����Mwa^�f
w1E	i�e��o
zXҰL��!�.�b��+��F<f��=`�G	f����uyd6D�I.C�<�`���Է����o�kg���N|��r^��uU�,�at
���'���
8IɁS=$��
��$�����!��1uSv�U��F<c~��7
�נd�h|ՀJ&��	``�ȢV������L��@��\�;6
��0��H�k�IYߢ5{a7g1D���>�Θ����nܸ)�Q��Y��kFC�}9ofY��p�/k�L�� (@�? aY8E�L/
L�Hb��e,E�p:�����A��m���1B��S+
�ν
F��9��^6@�,���%Ί�զ�r%�Cî��H��»�8��
���|X֌<~[e+9D��9wU|���
e;�׃�L
-�+�k)1Ϧ5����t�X#:-�Z�)�~k!H��!8�e����򽮖P�;�|Uu6�o�q�g�Z\�u��T@��dJXש(��V����e�E�L�2Y�J���e�D&�"3�����|G�DZ
�^
-��$j?�\?4t����.��m]1n���*�‷W���MS���.�]��OU�B�����
�ꂴl!?@���g�ZV �����dXi�Z��[���PWԎ7Hm���+Y��>�
<��+,"7K,��g;�
�]NUWD�-E:"���0*���}q�A�����~{�9� C!��W�^
>�ٹ_�AfV�{�8n��
-<7��sVg>7e�
O<����-j
-mJZ)H(8-*���Ƃӱ����B�R
���
B�Eт�eqk�
!�{5�"�h�Gr{H~��u�I�'u��Ћ���
Y��1�O4��.a HJ_�|(�A��0
O��m% K[� �"�v�������oY��I�([���5S_�i�v��¨�02����+�%��!>o��I3<�r�P�a�ĩ� MΝ�h,���Y)w�T
�y_	�Œ$d�9W�<HEL���)��,���k>���ʷ�|whNN�n�% 	c$܃my\�5]4�N�g��׺�
u遑b�l��|������.t%;����\������o2��z�LRص�<*��5:�r��	9��X�ي��01q����>�w-YdoI��	�WB@�_P��5���oh�e����jN-

n�����JZF���������Ďe��	cK�N��n�l��
.� �S��(^��mv��P�]���p�{����"/3�A,}g)��ұI,p�
˖������`n�F�l�C#�3�;�-dˈ]��tC#Z�S�J�j��6\��(Et)�i0���͌�[phT��ڵ]Og�9�1��L��1C��Am[��n�)d�1�����cc������l�|���Ϗ
B�B{myu:���%�mo�鲱�f��>"�!��~f��	u�˾��4�ܔ�JoKqH�ʯ`
-
�i��vO�ژ���BHYqJ
��&�
�>R��C�;���c�&Z7�(��位���xX

��<�EE�xgJ��HG]��)l��*�xU�����0>�B�����=�9�с(����
�]
LJO�vJ
�PP/�S�����6��`⠞?��.��`�Ā?�\`1��u���E���&
�
-��Uɯ^<�GT�@��Nע7
�#d�N>.*
y�Wy�.�*OA��Q�i�y���
Ȧ��j�J��5��b�	��*������
�@���Ar�^�0� B1���E��߂6/�0'	 ���(��@ᡱYyr�_]�ש�>��[]���!�bo_�`�T��=xy��s�XN��x�:���wN��[H�[~	s��������J0�m��G�΃X^��ؘ��ζ+���BcGx_9&��l
�X�
-����(�<
Ӥ�\)E��(T�%4�<d���^˦��R7Iϻ|~
�4��K��S��bT�M}����g[5��yl1O5;

i��8"g$V<���#�����ʠ�E��A���(�1��R<K?H��e��?ѪMS�3#�'	3�Z7؄!� ��'��h���
^��2j��^�<7
���Ą�^�t����7Xendstream
+xڵ�r�����m�*�<��%�}x㔽���8
+EBP�j���k3 (iw���LOOO����^<{�Z��L�����YU�yqVfU�Y�X�3��U6����^��! ��,?���r��=�.gs]$�lnt��j~Z%
�
q�H60�v��7�\s
��pa#�x��7<<�p��|��6�ŕ�LW���֔��Xz"F����'�>w�!�������L�*���d�g�ljmA|Z��W��&O����w��3x~/�_�Jm��"O��y=���-�D��e<��5P�UO��?fUO%Pn�ܟ�
���hᴡ�q_�"%�z�ɪM��@�8�!��k�!7=�
���8Z�-�(V���T���U@���%����$�.�y�Д�O	�(D�ȶYʶW����g@�AB@�Nub76-,�vx�ܣ,m�k
_�x�:�+�7:�c��M����/���%O�=�<���_&T
��u���Q�U�(Ѫ��L�L�.�
#v3dφyn�����m�*� �W	'�K���Qۓ�r��2��'�>���ɝf����䉯�.�
�۰���"5��[�|�r�M����63�ɬX�Z6
�H^����_*�����g:,�˿��Քk�ej�RN��<ϳ�����-����C�S�
+Wn~;0Q�
�F��y�&B%�a
�2 Y�m������ێ �S��=pXpY���T˞�c��q�G��8��zx�֩��12�3U�y^G�|�c��B�R6ƌ��:/�v�W8��uJ쎧����> �	 E�
Fx��qw�Ёc�o�=���7Yk����P��A̴k_2g02Q
�;�'�d:D��$�P�"�S����[\��Y��`�
!��U
�-:
�:0�LZZ��
�'ϒe��0�J%���MK+<��8n�����ns\�J:e�e����c��B2Ep�ifl�>?,]bd(�ƱML���ӹ.g
��sR�"�� �Q�=�Eyw}(���'ُT���N�?���:�����f��ኆ��v����k���o��|�\�Zq�e ��cp�֊sg�zy����Ym�;R��]�đ��ViT
�n�06�d��9
�Ӻ=�
���Wڹ��и�h������T���*y<!�
�Y�ڧ��.�;��%��j&^�z2��ǟ>2�IuC'�����.��ߺO�յ@E{]� Uq`�y�ju
�q
+�
�=�8�U�
&��>yE�@ �%�H�K3��|�x��P����ra�6
c\>��@�������>��{ �Yzc�3��m�p㙿�
=�wk	�i킊/�`r����q�����N!3���
™c��WYۆ�
=�g�F*��N�<U���G�8��2>�t^�,�\hv/&K���su��E
��iX��n��a�����s���
+�W˜��xC!R��$?�uxo�
��P&�j��S
�X����Q�LP�~���0�),yZ���}�@_���!W��7�Yt�uZU��
������K�?���5i�����B�Y�cU
c4Pu��H�C���hy���� je�]R
+ˁ�?g

Y�:m�s���Ty��ΰ�>b��s��!(*���,�~6�6t��jC�Q��ma��߽��y�9�ѹ*"W�vG��S�*�<��C
θ
+���4��ˁ����B��F A�`J�e�C��u��\3�8r�㥬�2�<�c�|7����Ӕ�h]���0h4�t#�/��۾��n�Ln�}j3.�))�� 3�Ƴ*N��[ߺ�5�Y���
�
!9
���v��.�?%�?���@ۢFr���9��Ld�}��	=��� &I����.�����T.K����vק�
Q
�SO�?������T�Ӄ����f/�n]���M��;u�*bSEM�8��ed$q�|pE�=IچK7޶�A��#�����5�4������A?8Tx�Th�²�����\6�q�e3�.��y�;����� �~zSt��%��9��7��|

�;x�fSe�f5�������)�!���A��A�io8ߛ@8
���I���G���T��EQNMHD�L�jD���6jˆ�
�
�r^p�7���'��:̺p�eе�1F�0z�+�����tT�r��
+�(v�����_���
���!u
�������ұ�*�/ �
�H	ߕ
+��p�������|�B�“hڮ
���a�a���	r��2_�Oà�QŃ=�6���/=�������ո��[� ruRx��4���q�3�,|��n�salʲ�JƮ��<}aq�4�roLN�!�LVL�
3(����"ǿe{���]W]FV�.#
B?x}�o�[�oG3�#H�7bO�O���n;G��v
��Gw�"H~l-c]{��mA�3���(�-?���MgO}�`�)��@�~�~�T�'� ��ؾ
��NՄQ��qD���/�vmȵ?�
�~�7�^�r���
+��Nf�
+�m�ݞJ�Y�A��6@'4��ٔ����Z>�=P��J5h��^����u��Y�����5�
�\{��dW)5��HN�1V劦>ۏ� �� �
H8���q��?
V�Ei��Ο>�,0�)�di�]w� ��M�v]�c�0r"y@�@AsPB
+ޅ�}m�_�SX��d�9��S�	��]'u�\�,�:�*�*�Z 9�J�x��ų�b��endstream
 endobj
-3400 0 obj <<
+3701 0 obj <<
 /Type /Page
-/Contents 3401 0 R
-/Resources 3399 0 R
+/Contents 3702 0 R
+/Resources 3700 0 R
 /MediaBox [0 0 612 792]
-/Parent 3394 0 R
-/Annots [ 3404 0 R 3406 0 R 3407 0 R ]
+/Parent 3676 0 R
+/Annots [ 3705 0 R 3707 0 R 3708 0 R ]
 >> endobj
-3404 0 obj <<
+3705 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [474.781 632.785 624.42 646.733]
+/Rect [474.307 593.963 623.778 607.797]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.r-project.org)>>
 >> endobj
-3406 0 obj <<
+3707 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [228.815 459.386 438.072 472.005]
+/Rect [221.221 420.618 422.823 433.161]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://www.gnu.org/licenses/gpl.txt)>>
 >> endobj
-3407 0 obj <<
+3708 0 obj <<
 /Type /Annot
 /Border[0 0 1]/H/I/C[0 1 1]
-/Rect [71.004 372.046 300.618 385.994]
+/Rect [71.004 333.273 300.358 347.107]
 /Subtype/Link/A<</Type/Action/S/URI/URI(http://gking.harvard.edu/src/contrib/)>>
 >> endobj
-3402 0 obj <<
-/D [3400 0 R /XYZ 72 720 null]
->> endobj
-3403 0 obj <<
-/D [3400 0 R /XYZ 72 651.216 null]
->> endobj
-522 0 obj <<
-/D [3400 0 R /XYZ 72 534.238 null]
->> endobj
-3405 0 obj <<
-/D [3400 0 R /XYZ 72 474.363 null]
->> endobj
-3408 0 obj <<
-/D [3400 0 R /XYZ 72 316.413 null]
->> endobj
-3399 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F67 564 0 R /F70 642 0 R /F76 747 0 R /F32 668 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-3411 0 obj <<
-/Length 1138      
-/Filter /FlateDecode
->>
-stream
-x�uVK��H�ϯ�h����'�HA;RV{BH�f��h�ب�;�~�j�=3���U����|�=}z.�E
��,[쎋r
f����0J�Q��Pq��w��g�O�*�l����Rݰ\%e
�D
���4Z�/KU�2�պ�X��δ'y�Ng����mo�qՆ�U
�Vt������n8��8�?w]���QIx��]�M�!%���0MsN�;.W�J�+��� cw˵�&9�jZ97r@�
-�s@��j)$rBɌf*4��[�zP�y�	A��h�5/�y�
滋��L�p��mr7[]�l]��y

��s�Ɋ�Z6/�Q����E�Z9/4핫���A�g-���nO��{���c:
�/
�{����
��fKaƤHá�u�C
�*�� ��jMF�
Z�z��j����/²��͖�h�xQҏ8�,�NZ^���
5
�e�xp��26��
-�jਲ਼�>_�QN�͚V���l�\���$Y:.�F���J��q���0��E:db�O�������$ �J�?_(y.
����a�(�7��
*}�¾��ڸ�ZR)��Nfe��zQ`��eK�ښ-�Yt��j%"����}�V�����4Dl��#�T�f�JiG���a���C� w�R��H{	B������P�+7A+�˞�*���>�ߛ}�E@ yן;癮�V[W�v^胭d��%��MK:Mι��
��}[�s�ǀu
�*��w$/d6���f>Ty�X%i��=}�
-$��Ȑ
����
���r"��!�N�
�x�����܅�]7�����|�(o�˜�D4_�d�'�j�H
��>i�l��	�s�!`���^Q_x��~����t�aM�Q�������9܏�ʛ�d�śmxBh�/�;�BEo��q]��愱��ZM��W1j�Rm����cS����P�7me�v
�x�K^�_���.�߁�+�,Ҡ�=��O
�H]x>WYQ�0� ��,8�N�u;_�b�?��L�}�|��0��$������

ǖ�
1<#��
�t�{���o��SB������z��
Q����™��4��>���� A�!�A�2D�&�և�k�����cC�Fc��B��M{��0*s�T*/��O&�`J����������+�2endstream
-endobj
-3410 0 obj <<
-/Type /Page
-/Contents 3411 0 R
-/Resources 3409 0 R
-/MediaBox [0 0 612 792]
-/Parent 3394 0 R
->> endobj
-3412 0 obj <<
-/D [3410 0 R /XYZ 72 720 null]
->> endobj
-3413 0 obj <<
-/D [3410 0 R /XYZ 72 561.752 null]
->> endobj
-3409 0 obj <<
-/Font << /F78 924 0 R /F26 548 0 R /F67 564 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-3416 0 obj <<
-/Length 1472      
-/Filter /FlateDecode
->>
-stream
-xڭWKo�6��W,z	D,IQ�\
-;����
�E��A������F�ڱ}�Aiwk5h�^�$53��7�З�W?_%��X�f�bu�H�"1���]��?��~��US�o�J��
�Z}X�Ehs���>m�!��u�"���*�x��/A+E"�a;�T�����J�ctL'Z�IN�/%�i0�M��{��=��v�������*��k��a�z��$
�e
�ךD�,�k�^kQ�~�J^�싎,�3���+���m�L<&^`
���ނ#G��q�~���ε
/�B׻��wc�����C�w,{�JZlP�	�bi+���z
�٠��Z��A?��5}�
:X�� 3B�ʹX����G�ܱ��Mg�[G��lqGix�
��
,k�w�\ư
�K
�u���k�kW���GJ
Z@�Og�&
�X
�L��]*
ݰ%�K�?�
K�)
�I�Ր BL��  '��TFyF�}1Z
}8�\C����h����I���唺�
-��"�)��(�d4���J�L8�c����"��JT1,
�
J
�\\A���*Y���6���>���\�(�o+��h�Ԍ�;v�̌�o����bi��
�aTG\�X����n�
���j+v��C=���9L��u�Ѹ��v�Xr
"��w��
>�:=�|#�0z�Q��wn��#)o'gRrf%z�R��2-���`�V[��
�5P��_%.����>~��H�w�$����㪎?,���
�gIu�[�\�{3(Nu�F�s���3y5%��#�~&��qA����!9`��̾%�X��M��R+����
���
��,��E̥-���Q��G=\�3z`-~�X�M
-�R2
5����?��3��=�
%��U/������vॉ��e�
3�-@��,vk�{�C�
��E�ᩱՌ�s;�̦0LOr5g������
�A\�s9m��*�D߯��A��M�;ë!k����?ʬf�Y�(;c�n,(�h�D��
1n��F��v�
B
 <;6K�f�nMNt
{bX`�x���&��YP@�%K�{q�~y���y
-)x��>��"
c�b�}aߊ
7j/g����<[��y��y�M~��+z1��5�x�=��8�0ٔh~�Yx���0���0�������|1�,�s�[����[*����qT
X��L*����޴�=��ڳzeFf*9+
>4�7�h6e������b
��q���%Г�8�g �.ݽW��f���qT��w׹���v�k06HL
-'���9���a�_'���z���(�~\�����*�#QrM�w$�A��$�CbBޘs$r��
���D
�����s�/d�1J��
�;O�U�O}�a�Mر�H���
����{<���E�Ի�v�d�0��=y�� 7Ub��������.׫z���
�����C`��1ro]1Xj�U��$�5�l
C/�BO�W��^�
�"��endstream
-endobj
-3415 0 obj <<
-/Type /Page
-/Contents 3416 0 R
-/Resources 3414 0 R
-/MediaBox [0 0 612 792]
-/Parent 3394 0 R
->> endobj
-3417 0 obj <<
-/D [3415 0 R /XYZ 72 720 null]
->> endobj
-526 0 obj <<
-/D [3415 0 R /XYZ 72 720 null]
->> endobj
-530 0 obj <<
-/D [3415 0 R /XYZ 72 538.68 null]
->> endobj
-3414 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F78 924 0 R /F70 642 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-3420 0 obj <<
-/Length 1430      
-/Filter /FlateDecode
->>
-stream
-x��XKo�6��W�Q
D
�z䖸M� ��6
-M�E�B�0$���w
�J�UZ;5�ˊ�fF��o>��ŋW�t�QJ��m.�7J*��Ie&�����w�X����*jK�^U~������z?���uW��Vgї���ϋ'�4���k
=}s~��fQ*4��h��@��i+�MH��6��︍��Y�f=
�+z�mA���S��LT$E:i
~�
==9�W'w���~���r�hW>Ӡ��"m�7�K�t܊ΰ����sQQ�FfM�������Rіn�|�AXN���_�2�j��՚�+�.
WJ���ӕ(���
$�1�Z����@�{��0.V�H2������I+ɢI�Ħ�t`e���ǎ�0l�Hs�>I'�W�R�0�=��i�{	�
B���	���z���,��G�e�Y���/�0��Ȋ��fc��9	s
��ƙ�ѻ�+L��JV������.F_�|�B��2R��et[�`��D�F�����;����� �Z�4A� �Dc��h�4T���$?q@����Cb\U��W���������D%� [...]
-t=�
�b�E��ρ� ���m_a�z�{�f�o�8���}�@|��˙��7��0��6�QG��0
b��jĿ��S�o�𯅲f��_���q��ցQ6�RGWTB���:�:_���� '�e����@o�B�#��
�}�@�#�����Ӝg^��5"�Y�ٓ9ì�L��1L��7��T��2����S��Ӏ�J?����Y��
��ބ �Y�dr�D�쏢M���V��"g����
-���u�< ]� N�C�yW
�-I��K�7H
-�I���`nJA��e�nen�J(��_`t����8hZ���p��z���2��z*�L
�
-�G�`�1��0�����xqƏER��Ӣ
�
Ƣ�����{�=��
Ka��z���ò�8��l(��:��X<�U-?�F��[\�`���U�D(@���j2a�Zt�X��93��'k��E�(���3!@�U�y�|�}5y]�0<)ʒ� ������#-:�[���9��!J��U��~�6�02��T&� �m1\�@��
-��`��- }�- ����p
H~����=���[�s���z߮E�/���ߍG���#e��L���I}Э$rѭ��a�I��2Ԭ�o�w35�nq
�N8�A��WB��
'&cw��;��j��k��� ��c���^jj��כ��r5No�bS��fJ�̏}�U
5�(�a�nbq5�H�
?��w7,a>h�aj�q
�c�l�A�F^l�z�N7���C�:֟����ݭ��c�М��cA9�����&�;�8��µ��+�<�
*�sp�e)�
�5xG&�x��ŋ�i6%Cendstream
-endobj
-3419 0 obj <<
-/Type /Page
-/Contents 3420 0 R
-/Resources 3418 0 R
-/MediaBox [0 0 612 792]
-/Parent 3394 0 R
->> endobj
-3421 0 obj <<
-/D [3419 0 R /XYZ 72 720 null]
->> endobj
-3418 0 obj <<
-/Font << /F26 548 0 R /F78 924 0 R /F67 564 0 R /F70 642 0 R /F86 1221 0 R >>
-/ProcSet [ /PDF /Text ]
->> endobj
-3424 0 obj <<
-/Length 2067      
-/Filter /FlateDecode
->>
-stream
-x��YKsܸ��W�ȩ2�x� �U9�����U��[�8j�� �S
�l�ק�phѲ]�Jm. l �~|�zq��km/�e�_�m.�,���E!K᜻�����\�ޮR�e.��+���T%�(�Z���Յ�HU&�̒��*�E���q�fZ�D�gڅy��`�/�7���*����L:g��n��վ�5N}})%L,��%�v(�0�H�;�R�9za��8<��U�'U
3\fMrK�UW�����/4�^=���h���9H�(�d�5K��+����e���ׅ;�g�
-a�� 5��l�7ZI�Ź�(d{���4c�Y�#�5A���m��*{�P�<q��׸D�i$:�Տ�Ԫ,�
�o�m��6�������
-��G
�B����*-�I�����)�Ƿ���
�K�s�m.�,�ް�J���D��NjE�T��<�E�=s�b��&-�G��&|����`r
6�
an�q��-�m4ʍ(a@η�9��9F�K���~���-˴=��G��B5-�҂�.�:��F
.:
ף�OGWRR����U�f�G��woy�z���2〟:

C��x�a
�M��]�>D�\�B5,Q7�����x͖2��R�i!���R/���tA�ע
֨5X̯�%خ�4Cӭæ�&$��R	S3�`p�[:�;<.�o�F��M~Ž�F"��b����~;�C�6<�׆l���UR�-�o�M�6a�-CP�
<)�ḁ�
����c��"�ۤ���da�@d)�oF��,:/ΐ�ձCH�E�W"��^��1�<�K;����:�'��H^@�	d�oVlaO����43B���
U� z�)tΥ!�u�!ʇ
���RW(;��ͱ��s���D�L�e�*���Cl0�0�X*4h��T�zV�t|h�^�SQ�jSr�^�@jl�yَ��
:^m��� ~����U��C���Z�
-� �z?PE9�{�U�%�涟��{�V-li
��2AꀹeO���R	Ʀ�籉����_^blb����
VD8>@R����-A��:W<
��@��'
|
�J�"ς@㗖�B;5��y�����UKa��	����k�+́!��Z����^g��ĺ�\k3�T���>;�4( �]�3���L&���1�>���n
���\]�Hŝ
~�̬v
�8����?�4�݋�G��@�z�]L�R(�Bw����}
-AC3��0��!�V���� �*��sM-Y��\��������J KȶS�f�Y����m�ٜ
-,�1�J
�|�q�85��<��àɒ�a*���x���
���(�����F���6iƓ��%���g�,i>��S�!b��p)�h����"��B��U,��51�0	�\.q࡮gbBJ���4��{AX�qE¾��(gf�Lw�$�QhV�i�!��>Pd�dlW�u������Q�����I��<�G�G�
-M�� ��F`�aJ�ܜݡu�8I
̙H�c$̴��P�F�م��x���&�@:�6�N��,�������
-m��@�]V|�����fP'^�y��mMR쪝_/m%
���K@؊�8
h�6e�ΗJ���bi�7_o�5�EDZ<s�<�b��H1{f`��0Aa�
�}5GX�KU���5��7��@��	y_�����9�b�0Y~�q&[x4����웞f�
@�
O3K���>��o�����
����n�TCt�4R�z)ߢ2EL�
-'J���g$�q�vR?�֔-OlB+N�B�SN�"8.�����׾�
�0��ţok"L9�q:e0%L݄"�� ���Y
!�>�����Y�|��ȸ�~2�ɧ8����P��+�4�
ŒU��#��9B2����Nd��
9�����
d�CP�#ap�!,��_��
����OW2�ף_��wl�H��9s�
�>O��C��W��͇���Ǹ��-��N���R�i{����Հ�G����ZxKŻC�Zs��j�C*6^�*���y
��ɡ��F�+
-�$�G�)�N>e���|z�J(���W���9
>.R?�������endstream
-endobj
-3423 0 obj <<
-/Type /Page
-/Contents 3424 0 R
-/Resources 3422 0 R
-/MediaBox [0 0 612 792]
-/Parent 3394 0 R
+3703 0 obj <<
+/D [3701 0 R /XYZ 72 720 null]
 >> endobj
-3425 0 obj <<
-/D [3423 0 R /XYZ 72 720 null]
+3704 0 obj <<
+/D [3701 0 R /XYZ 72 612.394 null]
 >> endobj
-3422 0 obj <<
-/Font << /F26 548 0 R /F78 924 0 R /F67 564 0 R /F70 642 0 R /F32 668 0 R /F86 1221 0 R >>
-/ProcSet [ /PDF /Text ]
+518 0 obj <<
+/D [3701 0 R /XYZ 72 495.445 null]
 >> endobj
-3428 0 obj <<
-/Length 2234      
-/Filter /FlateDecode
->>
-stream
-xڵXI��6�����
�R)*���t� =T7f�,�bU-ˎ$W/�>o�6[U�L_l�������͇W߽�핔I��Շ�+[$�\��&"�����T��~���ga�
}%hO�ld�c��R3ۧdbd�������6�4�Ne
�/�85E�$�_���(0~��~g"����]nk��[W��
���7�g�
� �x5$i�� %Mt]UW*>�w�=,
�+������@uO�ֽ?�� �U�B�2K�̐h��S�
�C��,�z����Tӵ/����y�: n��B�u8�x{ν���=�������B�&P�=��QdAڇ�
�����%�eS�8b!��x�<��#���p������w��{\Pa�7}�Mx��_�9����F�D�
ٴT`0�x��ur1s�TKpF��
R~f��+ޖ�D�*��
�.����
|K�ݓJa�F}�a]��Jc���v'4�A�&G���#�I�dV-��9��^�z$��2���ȥk;�
�"���R��[�=
���͟P���h�����
+���|S��*
.ׂߐ�L��
	u�F&⏑9��#������~`
u���y8�
���� >=lR�*�
�Ų��C]P%$Y�=���"g>Ea��w���Á,�Q��s@���RmYg����6�O�c7�����;�I ��
'��&�.͡��e�p&�n�<ӝ��@&��T��Cv���r�@�4OA9�+�=
�g9���sM�w?�å����b)��KnV�"����\�X��6C���)xw*)d�@���Z ����?�Α1���^I���ǚ,.PzD�r�@���@�C���
�I�E
"����	DuDl��߇�#>!�>�g�t����
�D�^�
L���,(cW�5����}�r�����
(N*
ޢ+@�|���rZ�,��S���!.d�<��p9��5Qߗ
O�<&��
�. `^�2f�e����&�ވי�E���(0.;��e0� �	^������7
�
�٠
!5�
��
�	
����4�A��*Oq�]X����S^@��A�=��p�_�;_���:�d�Zw�
Z�PP;Ⱦ�@z�@:�[��6H��b�
d��e���FZ� m�S��6���0��`�o�
�B�m�D�����$(��$=��!WzN�/��lM�*1j�>߻c��*Ȼ
Pdf�K�4F���GE�� �8��l����2��ź��"�w�Y�="P��W�
~�B����dW��Y{��o�jM�Y���9][�o�N�a.](:7H�V���h�
� 9.P��,�MPv!a��4
�=�z�����;Df�
��ʪD��r�Y��4���}|/O���b���TK�:
H�D�D 
-1I(#J�\�J�P��`���</G!!��n�
�ɘ.#
qz)�C"�b(/�L�:�p'��e�H!r\^�J
�ZbY��R�C0�>�FU\>$��<���$�?=�v�M2=��Li0H��==�f��\%�H��?%�rk���G
 `��r=�������H�$-���f��j����[��3oM!��:'�1��}��5�
�+EC'P�J��
-UePo��gߜ�
C�eZ�ES��� ���C�
w��K�;J�l�Oo�Eܧ#P,���cD��
%-���N��KN��|�t
���eq���~�
��
��sE|ݻQ�_66%XE�1��:�4��R�D��g�T5
tj�|GG��ظjpi���]���Wi���5Nj���,G*N�x��ل��s늤k���P΀�X	�SwXlj-3�"�������m ,do�b�غ�	|
-$1��eI��r�'�.ɸl�nhT�`��kԗUH�><��{pR��	��L?��3�E��+�=�"r�|�B��]�9- r7�7��8tJ1>Y�sC|�-l�M�F烃�).�nb�T�6D}W�Z7�pBy�ވ�z|l�=7�Q[���r˜���GYAv�h;� �PAP"��DlW�Sa9W2
l�/YȗBi�[\K�̶+	�`��? �����2�Q_�-��w��:��=h

�
�B���!-Ɔ4
���rGZD��O�Z��\8:��q�;��W@��b	b���nҋ̂�a�>�ĵ�rzB7%/|/̒�x����oOu�鬫�8�i]���
6n9����$<����dpY|�`�9��+
�6����^��9�endstream
-endobj
-3427 0 obj <<
-/Type /Page
-/Contents 3428 0 R
-/Resources 3426 0 R
-/MediaBox [0 0 612 792]
-/Parent 3430 0 R
+3706 0 obj <<
+/D [3701 0 R /XYZ 72 435.596 null]
 >> endobj
-3429 0 obj <<
-/D [3427 0 R /XYZ 72 720 null]
+3709 0 obj <<
+/D [3701 0 R /XYZ 72 277.679 null]
 >> endobj
-3426 0 obj <<
-/Font << /F78 924 0 R /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+3700 0 obj <<
+/Font << /F149 920 0 R /F29 544 0 R /F114 560 0 R /F126 638 0 R /F142 743 0 R /F35 663 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3433 0 obj <<
-/Length 2401      
+3712 0 obj <<
+/Length 1302      
 /Filter /FlateDecode
 >>
 stream
-xڵYKs����W�|�L�<1@�rP
{��qQNR[q�Q�	 mk/����
0!���/� �i��׏�z���.��2-��x{���.��Sa���_�%�������:s�D9a/�Q�B&jix�ʢyZ��?�ͩ�_,��-`�
�(�7&H��a�4�H����.qr��e]�;s�����+�R����b	[�A*S��(�a�Lʏ
-�ɖ���fW��&��mu��������b鏱��
��
�,��P.)���B�I��qu��K� �n�?��sl�%^�MӶ卟�זT֖��V5m_ny��y��uK{�����]�B$ͶlkR(�2�y��[*8�ȿh=�N]v�1�a@�&4��/n
��r�@���X��R(�
�
KEJ��
-/Ož
���>��p���� �kH�7��G��埪��c�'�1o�͉������~خ[M�Ҭ�c839�;��W�NJ�wS
�}������T|-Nj�!u��8�J����
8$�ھFE�ԌSMH�R�c>1�[�EB�X*�F�i[
��%�%#�+;*��3���WM

-B����b�b7�y�̟N��-伺�����L"�W���-Bu[)�����|���8DD�����
bT� Z0�U���
�򒦅 H�Ȓ�l�UϷ�`�	�	�������l�J�jӢ��~�+��p���_��?�%e����П�q*�T˧VV����J
�6uݠg}"��
�nP[�a,��{��,ٲ:;P�.�!?{��h����
�S��
-���Hv���~M�y�u��k��;�n��:L�<��-���s"
��_��W��cD�F� �<�������H�hL/f�Zu]sxRQ����/ƴu���g�ͩ��(��n#�i�Nua#��Z#��P$'�	���@����9F�#s���?��/�9H�B�'�s�Uwe}L-�j�?G��hB�sĺ�h���˷<ڜ�z�C��[
f�?�ÖM���9Z4e�';�F��6I��kW7}�ÞL߀ov����z{y������%��%
�U:c;+���ہ�@3:�:�\�:r�Fu�f`�yZ�
���:��$���k�F^m0�Ak�[��ʎ=��GZ��`~�l�Û_�E!�ގf�*�H�6����lb�@���f}bcȲ4s�k�����#+|���89\��+FY
���Y�
��
"��H
�§2�1<�]��p����f`��O��[��=�:R�X��z?�%q��i�H�� �|��N����>��d��P]=
����T�}�0��=]��Fn�<t<�K��Ձ�u]�߃���衚��c[ռ7i��a'(��l�R�~�e�a�,e��Q�u'ȱ#���8
D_�1�gԃ۷y�#T��nF5.O
�����ou1Q��KY����.�q˷�@�
�4Ċ�3,�@�+1�+
�.y�j�x<Al��/[H�h���R$��я~��/�x���_�sh���lF�E2�Op����
������W(XbdY��y>Q�K��!]�����`���"��9]!`Tx!��zʣ! �Z�G�q�A�?2?�T5D�1�pv��?�鏗W�T��Ē��z
���I�@���
�#���f(6��5vRl�2�\N�	ܣ��b�sD�X 	�sr�;v
���
��L6X��K�N�>�Cv��a���
�k�D���B�"����
�L���T'� Y
��qY���Xg�9�[Xd�粆�Ͳ��{�M{B߀��2���g8;��	�E�
7L�-նxy�\�G
Xk��"(�,T
-��I�ȗ��+�>���0<􃘽�]BBv��Z��*�F0ݓ`J���7�)�\w,��"!4�_1PB�A��j3�.\�h��eQ�cF�l�F��5W$w��
'@�����'Ծ��[���H�gv���c�R6��оk��\i�t�l����O5Ef¶���3��,$5�� ���
�$RK�1'���Y_�ag�+�
-cN8��Nj:���R$���5��6������
j��)c*�x,�fz��냡	E1cҍ�)�	�CiAYS�_5��sC��E)|�
��b�,��|���B?�3,���j�2!�
@�|;�+�9
�a�2�O�uD
U�?�5�����pCNS}�B,�9Pej'�|�F��;[�eT�r+�7� �� �`1�
8�
x3t3"u*�����R�1�N��]E
<ԋ

l���T��~�GdE8�
���5�fs
B��i�B O�MZ1��#��&�|
Cg�/��
<ʩ7>��J58����IQ 9�b"�s���iu*��@�O#��

�s�C}>5(���ti����x ��+�����s�
l��U���B���%	������^��?�	endstream
+xڍWI��6�ϯ��NF�H��t*����`�6=x����������%˚
dQ�[���6}~��ˑRqi��y=R��unF6)�$������D�_'Q�
+Zn��s��$�9��b�/�T�����t
��I\��(!y��
9O���y��Gb~)��Bf�X婈X_���� o8Fv:�މ�U�ZO�Ǐ@�%mc��
_v��%U�{�BK��ڎ@;.
߼� �Wѽb��l
��Q���ma��Y��y5mǎ|�2�vN{���=Q��x�7�R�	
yk��H�Şwx���A�d7yl.Zb��,���61�H� �?�Jz�N(��O
+�(-�7�׸t;�^�S�n��sM���<UN�n'��0Ք�^�'
�V�s�*�6�U��r�(�(z�X0��R��^�=4�`
+䅰_HEҊT��`�I�V�tU�+YsÙ��������@SLRz
>2�� �������� ;'A�B�>g��杲��?���۹UT$�4/�kH�y�j�mA'��D�ZY��jQG =�[u2�	���CB"���pO���u)ȶ���g(��_3_h)�u���[�/��G�)��?P�/DYq�?������Ǧs�ix|j3��6l�.�ګ˽���t|8�,�X:��7�
$�V
�F�ܺ@��x����$�Bl�ݚ@����2�bd��z`
+�����|����޽��� �,�g&��P�&�
��
�eWǜ���W�V��]�7尓����0%�����J+
Hz}c�;Wp�e<	n�>1J�K���.���_a��'R[zHY��A

�ă��|Wi���or������s�^k�ku�pG<c��N1F��T���<��EБAHP����~���(�A�x�}��y����j��N��
���eN���)D/��r��	He#��"��tI�r�f1L��e˵$e��pJhb�Y3 �7޺:���Ze��f�"���B���bt��3��紎����,�a;~H�b6�M�)��*�
�T��t�p�k��D՛0�xw�,���z�~g�_������Љŗm[6��RI�l�/5d���!��0b�4z>q��#�E]B���������q6$�}��]O1
�֒�� ��?�J���^;�#S��a'-���������3��jc�`���W�O6;�w˪�Ez��!W>�Dc�����
ؼi&��[F�򦙘
x��6#��{���(�ő�u+��L�k`kʯ�#��gXn�Y��܌��f�	����[O��z~F>
�u��*���ȝ©��@��ߟ���
+bendstream
 endobj
-3432 0 obj <<
+3711 0 obj <<
 /Type /Page
-/Contents 3433 0 R
-/Resources 3431 0 R
+/Contents 3712 0 R
+/Resources 3710 0 R
 /MediaBox [0 0 612 792]
-/Parent 3430 0 R
->> endobj
-3434 0 obj <<
-/D [3432 0 R /XYZ 72 720 null]
->> endobj
-3431 0 obj <<
-/Font << /F78 924 0 R /F67 564 0 R /F26 548 0 R /F70 642 0 R /F76 747 0 R >>
-/ProcSet [ /PDF /Text ]
+/Parent 3676 0 R
 >> endobj
-3437 0 obj <<
-/Length 2546      
-/Filter /FlateDecode
->>
-stream
-xڵYKs����W�V��yHU�c��͖��8�
J(� ��,�ק3  �ZK����p��������_>f���ia����"/R�.2������?�%��׿���e��0ʄ��F�
��e����*�J�u_������R&

�7����,���D��8(%|5�^�e�4�N>���f�ye㷾l��%�}��>L���e�Ʋ(]�B� LY�g�U:͋<,��m
��T�^�f�z��<����(..�
�|�
<�p�T�M��KiRc
�}�߶x�
7bY�XoE���߶�mw;�@�'|�?~�Bܢ80��O�S�TeE����,��ݧh�Ͽ/r���[���߲<)a+��0nqa��Q��0��|C��c��K����
��B$�B3Qȕ��Z�F+���UI�]�����Y�[�<�]u P ��ד,վ��;&Y�m�
���
 ^*�
-U��n�2����+�S�w�b��<��u�|�<��V�_x�
��&���
�=l��o(J����>��@�U�Qi0z��켢�#����
H	2��d
i�:��gܑ��h���5𖠬`�[E�������R%����6��UU��!�m	�"T�<��d]�u�x�v�����}�D8����"r%�HO��EOO�f�h�T��ޛf�����-��F�.7m��y7P�Z�j?0s��i&��� �*v���#�)�1�s4�a��G4(X3+d���!_<
��=O���������+�
����X�
-�T;�
i��S�
u.��pn�ay�
g�n�{�$tU��N��2�Je���}a<Ѕ8��B���+�C�v.5b��u@��'��ah�.� P��?���|�K�`ԮHd0K���V�1�h�c?��ubl��+^3e�l�#��0JD!�^��5Qs�O�
6�{�	l@�jF�m��W�
k�;^
	�Ku���| ��
e
}˱nfjא���\���H��c�l�I_f��2�+���׼
��:�W�%�$��H��^�
�[`���^�T�譳
-GE�WGT���̹�|�^Q���G�J��#�usDkPفe�S�mx)���
�����hJ^�Bu�yz|m�
�Y�|Ҁ�d0=�
��� @U���#�Ġ���_��*w�׫�n7pD
-��
��/H��Pɭ�}S�xn�׫!�_L�*\���
z�K�m�'&��A
�
>�{
���ȩ6�;�0�ыA���ǜ����<�a�@�_u���Z��q��V$�aA^I�PYCy�#�@x�QJ�sk���w�$�k�ӷ���ˈ�-ڎ�]��
�n�&/z�Жg�B�� �V�G��߯�U}�G���}��w�
�n��7�9z���B�aC��|��3�ؕ��M`�
���0—qa��t#
�]�~����A�j.�B�~���G%!�@����Ί�yP5�M3��Q���� ���fL��V�\|ȴ�0UM�T;Q# S�LeŤ.���H
�"
`XpǺ�'Cr4�,�>�,�%����z�񞁾�Qo2�	7=���8Cr�G��yR3]ѧ�ˆ|Qq�=Q.Laan�^�wG�unHha%���T��1F
�=
^��:͕
"���2�f� ŘŴi��T��Kr�˔��˸�=�>]YE�3Q8wK
;���[Z)O��L�Ia�!#�̌P�
��Cf�=���M�Ej�h�3���L�K<)IIj=�dP �iU����D�:#A�
�ul@=#W��F�֔�CH�[tn��{N
�
5�^��,u��\|�̓:E��:<�e^Ыqw��Q��a�z�f��
�D�D6Qm��eC�;s֜���JeԌ0��ȟQ��S��T�E�@xx�
F�&�����
>Qԯ�q�%?�U���
��L�S��T��s鱅4Z�
ć@B9�XH�9yj*�!M�z��-��fn�s��9L4��A`�� _8w��$��o���]^��D�k<��� �Q†�QK�j�<ЏVܡJ�����

�s3<�=Wk at z�*�^G�b��	�fL��Jj�`�4���rf{ҰC6��o{�a���`n8�OhԚ�XL�XLNo�	�#籣�L3�]����v|�1v~����g�����1�����2�]@$Ő��X�3�ޙ�� 1�|�x�T%��iI�
-{��J���b��j�
V��O
}icc�bCnҹ�mn��w8�dl��%��rڬe���z?G�\c
ۧ��f]���ݰ���;���
C�yC=k'h�U�����);v21쌓�>����*�,*|5�8�
��h0�UI���*����� �
	�`/3mޕh�B�s_����4�ڔ�և��%��&|y���L%����\�/Ә��,1<ס4�sh
n�`�3Y.��&�
�?w�{K�2�K�������?.�L�m�bSR�,�89w3�����r�ձ=a���*嵱���Yȝ��#�{\� �r�*4*x�=u�c�M��

I>+b�6i��i�����}��_�‚n1pia��PH|������;�endstream
-endobj
-3436 0 obj <<
-/Type /Page
-/Contents 3437 0 R
-/Resources 3435 0 R
-/MediaBox [0 0 612 792]
-/Parent 3430 0 R
+3713 0 obj <<
+/D [3711 0 R /XYZ 72 720 null]
 >> endobj
-3438 0 obj <<
-/D [3436 0 R /XYZ 72 720 null]
+3714 0 obj <<
+/D [3711 0 R /XYZ 72 522.936 null]
 >> endobj
-3435 0 obj <<
-/Font << /F78 924 0 R /F67 564 0 R /F26 548 0 R /F76 747 0 R /F70 642 0 R >>
+3710 0 obj <<
+/Font << /F29 544 0 R /F126 638 0 R /F149 920 0 R /F114 560 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3441 0 obj <<
-/Length 1108      
+3717 0 obj <<
+/Length 1474      
 /Filter /FlateDecode
 >>
 stream
-xڵVIo�F��W�V'3�==�N�-�
�Z�@�#�5aH*v~}�2�V���"����}�[_/�^�I��R"���r��r'�TfBFpP���j%�����|����Je��$���<D,���02K�ܭ����֍���T���H枖�"	�W~'��q,`s��=kS
�?^���z�����t�\�*�Iy�Ue*���:��
�(�5�}�p\��`�N���n
G� p-%P���� �%GP_�zˋaj[4�>���ޯ��"��8
���2{.��
�Z�<>�:ئf=�5j@��x`=
-co�6�wk`����a� X�Mc�w'x?8�=*�Y�Q���E�.A��@��o��l��������
��ȣ�
a���kH3D��
B*�b���$��y����}J�ާ����i콟_}������K��X�'�Pa��:�Ȧ�<�;�>�4E7�q��<nP����p�[^����2e'�'�S�9��P{�
-����gV��U��{sh��T'��A(쀱��%��
-2�yFϢ��0��Q��
O��*r)]�]�L�yu&��;���0OO������
�aU���L,<�3�����!۶h�i8�Z�.�A����
-�_l�M�CaA�E3s��wv�ܕ.�[W��&d����� ��/G��Lv�֙i��?T��O`�y�v��P��,:yd��V�Д���]�0
	�G�����Ub�S���.
�Y�+�_l?G
�YG��������C��!�)�몀jOV|?f�ukj/���1VB�4V��g����q�a[�:y𤖰�C�fװ��k���Fr�N
f"�ɳ�|k���2{��X�~
�qNYWT��Զ�Iqn8ɵ} }�-ah��sFg"��o�K�������Mj7JX��u��YS9�"
�K
ʲa�._�cQ�37���Ap�p<.�p�K]��p�P�L�91�z�֔��6N�*�ϖ�G��z���^��
T���iu�����x��s��oz�/{. G����N������H����Q�4m1x��O3���5+G�z�;���1�Z6H":[	SM4�@��Bk�����
�l��W7˫�
�	endstream
+xڵXKo�F��W��Bv�\2�@�"	��#4@�
dQ�ے"��_ߙ�YjE�N\ ��pvf��Ƿ����)�@��n0�85�U�ic��d4��f3L�L�j	O��Lr<�w�q �)�BjR�������᪽�g����ϻaj�xA���д�K�LI�q��\f./��1�ep�a*�2?��vQ��7|���ƥ�9%�|J����V�����r eV���3�ќ��Μ��$���L�B�xO�2.9�ڄ�(>��:��m��o�,O�������9����"���}_�3
l�ӻ
�oY��{{��oVaE����!� ���º4T�4�19�W�1B��#�1����j�8��r�S�X(�ȭH&�"�6���/��,�
"Է�����Mn<�.�X8~�bw �
���
�
+/��#�rZ�6�ַl�/�Cj��
�Up����
(�mOM��~ɻ^D�P,П
�ҫB�=��;��= �is����Q,gJ��w��и�Bਤ�u
,��[Ze�.Y�LX�c�%�6'
%\�un�Q���%24�M��~�Yׁ�žn����!�l�/zJ��FB(F
�0�����A�xO
~���(3)
C���}�v�ɖl����wQu:s
�o��R�m
�S�v��z�W�d̃,�H��
��#��p�k�Mœ�5���W;Χ����6.��
�܇���̶̴6�V���8����i�ۧK�aM�i��y&uH�d�j�ꊩ#w�j��69�6*4�H�a�l��<U>2�x�0�Ii
���q�PTX��-s��%	2W��F��}�)�l��T<.U
�o����\����-Y�Y�
+�"3)
+�2
a����X�m(?s����=����2o�(/V4d���F��k4�Z[�t��}��{?~�	C
�^
��("�����M��.j�-e;UʪC׶�1�޵[zS@Qa�i:a�Xؗ��A[X`N7�iL���O��8��k��='A�٥
~����0��\�\
�+�� 
+ٌ�
L��B�Lr���@�ǁ"+
��@��l�C�<��xP��9
T0ۺ<��鮤C
Dg/�2C
�

T<�=�#A�����x䥵��ш�Jb0�)Nߞ�ff���rB0wF��3w���bM+w'xT��sh�-.5
Z��e_<�@�?w�1}�Di����ԋ^�K+���*�[��"�L7�|:�q�_>�����:��8��ܚ�BeE�2s����0��(��KCw���A��sA㴦6��-bF�L�x;^�+�������2m�"YD�ŧe��:R�4�{��/$�i�!g\� 
ݝ�?��6G�
�̏oZm���
�s]h_م���t��.,^م��ʛ���'��i�_�k��3�}��K<[!˄�:��i��ʉ��w����ه��Yoe"��A\y��J���F�<����G$����cLo�P����	7Y�3�=~��cL�_�GN���U�endstream
 endobj
-3440 0 obj <<
+3716 0 obj <<
 /Type /Page
-/Contents 3441 0 R
-/Resources 3439 0 R
+/Contents 3717 0 R
+/Resources 3715 0 R
 /MediaBox [0 0 612 792]
-/Parent 3430 0 R
-/Annots [ 3443 0 R ]
+/Parent 3676 0 R
 >> endobj
-3443 0 obj <<
-/Type /Annot
-/Border[0 0 1]/H/I/C[0 1 1]
-/Rect [177.463 296.289 326.561 308.908]
-/Subtype/Link/A<</Type/Action/S/URI/URI(mailto:zelig at lists.gking.harvard.edu)>>
+3718 0 obj <<
+/D [3716 0 R /XYZ 72 720 null]
 >> endobj
-3442 0 obj <<
-/D [3440 0 R /XYZ 72 720 null]
+522 0 obj <<
+/D [3716 0 R /XYZ 72 720 null]
 >> endobj
-534 0 obj <<
-/D [3440 0 R /XYZ 72 623.777 null]
+526 0 obj <<
+/D [3716 0 R /XYZ 72 538.68 null]
 >> endobj
-3439 0 obj <<
-/Font << /F78 924 0 R /F67 564 0 R /F26 548 0 R /F70 642 0 R >>
+3715 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F149 920 0 R /F126 638 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3446 0 obj <<
-/Length 2032      
+3721 0 obj <<
+/Length 1432      
 /Filter /FlateDecode
 >>
 stream
-xڕXMo�F
��z(d`�H#�>zs�l��u7X�-��՚�jdɐ�M����#�n�z�f8$9�Z��|�*t�$�X=\��"R����*�չ*&��G����~���w��f(�e�����;]���j����T��Jc^=��r�y;�F���]۹͚��TDZ�
�ೋ��Y�25�A�ׯ̪\F����Z;��.�ي��iOytY/����o~���u՚��!�V��
-�@�؋.�~�a�j,ͺ��a8�.�

�BgVe�Q��;�"RT��`l]C�~,�,)��W�1��'S;�)۷߈Q�c��r�4"��6�uYt�z��
�/��l��Set��
qJ�A
��d
�ǧ���WN�C_iH?o�� 
\/�4/�L�]GB��./a�'r5�&k�L�v�&wM��d��aiؾ���h/��Ӧ�2�����y�7q�m��ѽ�	���
-���1�p��}�z��P:f�+
�ǡP����X<~g:��
|�N3y֒	�*��
���}g{�)^Y�McJ�vA�e����L�&���a�@�E���v
���CW�M������6��t�(R��i���@]��kk:>Up1�(u� ��:��v���D��EL����D�1tɊ�A�|g���I��Kp4�[6���@�
-�Hb��vc������'ۋ@"��%ˮ����m����)�
�	�8rC�[��eֶ*���A�G
-�#"D����>C����.m���W�X;� `Ƣ0�P:q�l�g���P��a��bL)�n���=�3���;r��}+�]V�Q�F�O
-�:�8}zƯ)KJ�;�8�j�-Zv :���K���[*��["r�@��9?(/r�Ԛ`Uld��i
-�B7?pV6a
 !4��^���Ԙ��

�z��b�]C,e��O��4%�豧�(v���Y�0X����j/�'���g�x�3ϚҼ�cV⣕�Ą��
���)Zp:*� �HB椦`F0�ł���M�L<�����BJ�i�f�����;�U�\HC�	��a\l�s4՘�kaɹy��D{-e��D�DB�
�oh���9�S�G����B�NJT5c�gk0t�-ǜ!��.��R4
�F�2�0�)=	�D�Ӧ�|�V�P,�Cꀀ��-�a*���
}���`�2&��
�x?7��-%�3��!.
-X�u�0�MJP��ҁ"��O�( t;9�FN�`�g�N��K����]Jb�(U���`�}�F
 �[v��bU���#5N
�?����Ct;V*�w�M��-z����þ����S
�X.��ve���
_�i�egBBO�,Ŝr��E�v"��^���7H�y�tR��/A�x��ДTe=h�h���.��^맢�ge��"i3�:I[us(1q�uc���vIr��r��[���ݾ3�b�
���ݚRJ�Xi2�Eԧt>rts��b�s�"Q��ϙ$
�f[�c�
dp�˪���ر $0q#p+��f��\��f�q��A0�|iϗif�5�
-�H�&:혭�r��J��Bm���cz$�}!����
�o6�*��7.�c��=�:}`x�& ��y�S�&Iz�iD��G	���}��? A
��1N�8�������6�1��.
�
�VN ����.��
��S�
-�'��G)���}Y��(�c̈6���ƪi����f��W�
�;G?����<���6F$�3�m5��׈
ЁX:��f�U�}�`���N�`vf���ZR� )T�OO�!�����
�G��C���<Hw�>����+a���4)���dUa|��C��z_����x���-�s��i;b�>+���q?�����y�/s
��|�'#��G<��}Oeg=���Ku��0����eqT��Ԛw5��&εk;����}

A�i��?*��Ǥ0MB@�K��Nܸ2~T
�[
ץ�Aґr�
3
=	=�Z������k8���
��Su�?O��p(%�P��=�ɸ�ݚ#��
�}_8�E/'���[�⩄�
(����F_�b��e&�z�W�R�����>��f��l0�onVo���gendstream
+x��X�o�F
~�_�G�T�OI}k��X��!1
k
�I��q`;m��~�w:I'7MQ��
$K�;�Ǐ�x���ɋ3�L�(c&��(E!��Te]�>-�ɖS�������;>,�����
+�������G���|��v*����������MUOr�
+-k����%L���Z۬��.	W��&ܲ��B�yWβ-�Ev��Z�5̍��,�n�_SYeo^�����Y�kPq.��O�O�a�����y�4݅:�p�����ٝs�k�K#�LB���W����5�r
"jm�NQĘ��s֍~^�-|@
*��%y���_��\WRu
�rւ�/��r-�2�Rx=)P��̕��ʯ����T�
+o���ř�q��*l�&�ԅ`߼���B�	!��4�
+'�F��Q����w��-��;Y�\ P��v`��N���x�	��/
��m�������A
�8�V$ǥ�{wY�J;�t�?-�:F���\�ע��8Ҿ��%�B��7=�s���)��e�J{���G|�7��A�,����x�rO�4D����4#V��
��������-e��X������iß"h��a'zC�, �D֦Ğ�j��;�<�dI��H�0X

<��.'r�x�]/�{�yِ��} �;
��M�T0�9����[���A�;�w�zζ÷��C��t����ͺ���[�ec*ϊ��΃��#=Ok�7s��T���u�]�Ϥ�����.-���� �>7(aA�>E}��lƸA�*�
(.�h���7 
hUh ��4 at 8��$�\^Y��#�1H4p���晐�4$?���ǨZ+5
+�J��OH;�
AC5����Uu��Q~��o����wf�LN	�
+�.M���
��4z�r����e
>_��8l���̊j���]T`֬�:���-ف��]R�BH_��5U���@�.�Q������z�M1��T
�tL%�\S}�4;���)L�k��\���
����í	���
w>A�M�x\ooH�/�+*���p~�,��:[����]w��UhY
+�<
b�$���c�
@�.�Wb��6]��ġ=*�,*�/��A\��� a�H�v�_ym�ˈ��$�C��T��0�
i�-����q@Ȳ�c;��&ޚ�b7$�
	s�邍b��V?Iˌ��{Zf�i��<�Ӷ��{Z��4nG{Z�f����sE��
�`^��R%�h(�c�%�R�%�ڶ?��Qa��Ǡ�U���lx��C|�ˣ��{�C���8�n9xoxŁ<#�}�T
��n�G=1ɖ���&��8
�(j�d�,����%�
�%
s %��m"�q�����Ҧ�#�c�w�Ft^��_D@�@Ӽ�$/�埢n��E%�Q���G�e\�;E%���Hv����k�����$\֩ICO��%(QXQk �J;m������������endstream
 endobj
-3445 0 obj <<
+3720 0 obj <<
 /Type /Page
-/Contents 3446 0 R
-/Resources 3444 0 R
+/Contents 3721 0 R
+/Resources 3719 0 R
 /MediaBox [0 0 612 792]
-/Parent 3430 0 R
->> endobj
-3447 0 obj <<
-/D [3445 0 R /XYZ 72 720 null]
->> endobj
-3448 0 obj <<
-/D [3445 0 R /XYZ 72 583.673 null]
->> endobj
-1082 0 obj <<
-/D [3445 0 R /XYZ 42.735 588.493 null]
->> endobj
-2322 0 obj <<
-/D [3445 0 R /XYZ 42.735 535.193 null]
->> endobj
-3449 0 obj <<
-/D [3445 0 R /XYZ 42.735 496.339 null]
+/Parent 3723 0 R
 >> endobj
-1962 0 obj <<
-/D [3445 0 R /XYZ 42.735 457.484 null]
->> endobj
-3450 0 obj <<
-/D [3445 0 R /XYZ 42.735 418.63 null]
->> endobj
-3451 0 obj <<
-/D [3445 0 R /XYZ 42.735 379.776 null]
->> endobj
-1949 0 obj <<
-/D [3445 0 R /XYZ 42.735 326.476 null]
->> endobj
-3452 0 obj <<
-/D [3445 0 R /XYZ 42.735 302.067 null]
->> endobj
-1083 0 obj <<
-/D [3445 0 R /XYZ 42.735 277.659 null]
->> endobj
-3453 0 obj <<
-/D [3445 0 R /XYZ 42.735 224.359 null]
->> endobj
-3454 0 obj <<
-/D [3445 0 R /XYZ 42.735 185.504 null]
->> endobj
-1793 0 obj <<
-/D [3445 0 R /XYZ 42.735 146.65 null]
+3722 0 obj <<
+/D [3720 0 R /XYZ 72 720 null]
 >> endobj
-3444 0 obj <<
-/Font << /F67 564 0 R /F26 548 0 R /F76 747 0 R >>
+3719 0 obj <<
+/Font << /F29 544 0 R /F149 920 0 R /F114 560 0 R /F126 638 0 R /F158 1216 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3457 0 obj <<
-/Length 2525      
+3726 0 obj <<
+/Length 2001      
 /Filter /FlateDecode
 >>
 stream
-xڭY�S�6߿��'OՎ�dɖ�%���.	\R��=�1��cS��
������K.��H�/��׿����R鞔"7f��f/S{YlE��7�W���Tf2���M�≌�
�@O��LU�������l��hY�
��
�m�s���hQ�r}[���s��Z�:l�a����h�pq�m6��MZ߹p��
��}u�ߟ���Tj�uJ_~ƻ�]
��FG�$tN=w�������s���oD�a��I}�Z�:z�<�S6�ab�H�ً�CΛ��a+G�Gb���2Q]T]��[F�q,�����Sm0�ں�?���{�>��/��U"#�,���1p�� M�դ�X��-�����pwS����\U�O
�U�P��CZ_�"[�@�ЄVE�ۧ�`$l�[�#0�5%c#�<��@
5�뮇=�y��}ف�v��j�i=������2�Q|�<��[�8Y%��6������f�q��?j��D?���)6~�ƺ����M�X�/Lp��aQU
7	�^|��ֈ��Y�?L��Z܀GOV�Ԧ��>uX����%�A-���g�}!�Pg�_zW��D��p�SI����=���H[�\MH�vB\湐*�'8�
���f
�so�
;+��P�Xp1�y��K��]ސ��$f��y�
-��#�M�v���D�n��s��U�f��z����:~�G?<�8�G��	��s�`� ��*���7
�܀AP'�
-W�@��DY +�9�ܬoP��_uD�.v�@'F�?���\��d�06��q��<(�2
-^7��E"�yt��<��P��
�6�%^�@��-�
�-h si2�'/�\�(�
l��E�qj����Q㻿��
d�0��O"l��[<� �X���Ϻ�y�Еh�4�������P�6@pA�}�Ny몒g�
C�@Q��[2?H����<
-[pdFX�
L�?��RB�l�	ǥ�s��a �~?!�J6
-��[�u�=�@c�C�aL2r9��w�4���@t��*p����=��%c��;�_~���.@�
��@��<ygضf�HM�i�2豭5�ţ��=�rЂ�b��7UŴ�����6�#Sl���� WI��BS����j�b/����"��qL�
��h
����A���O
�r+��Ę�̄�x˺����YO��z�+2��1���}9_�ѱ�>�eq_"O�XF7�͊��S�tޢ��CG��]>�E�
<�-!���R������9%�T��K�M���:*C��)�V
I���;Et��F� ��>�n9�Q^#�N�w�sP��uJ�<�>�ۺ���<r�$K�/���o��3��)3K�8Df��9#"B� ��-���:)Df�|XN�	�
�e�z�
�Q���W��Kņ'
X�}�}5Q��N*;(�Q�{�IGn�˝� �y)ے"��׳-���8�����v�\��vZ��
�~�E��Զ2�N��,�
tf������٬��h�cx&!���OM����
�
O��iӹ���
)C1U�'�s����!M�v�C� sT�ZX���Wr_J
R�&�n��jp~��~x%��/���pJ
�&BBm����5K��\[Ӑ��(O@�vh�G�+R����(���\�L�}�&/Ծ���kH�fW�����;.��R!˄�ԓJ���F� [...]
-��h�W��RD\�c7<��ݺu�
�q�V��\�
��
׹�Zv���LT��5x*���h�����7�����E�n��R�0�+U��=%��4�
� U4�N��-�B��h��B�6���{&�F\�����\�h�Qf��L��0
��Xk3S��
C��/=B�uքg!i���n�Y�<0
�/��
P
-���t�B�3$[w��!��$�+60���|��Y��J�JC��L��o�>^�T�8�[�:�8Xi#�a�o����%��c���
����j�%q��m4~w~
rÉN7��b�*
dT
�v�I���`��y�s�Q�?{���5�����C���`WqX��ㅗ+L�N�~��&6�f:��W���BUǢ�˯$�ey�n�x�.*K�`Nl��"�Hy� �Ϟa+��溸f��Fl#h�1����?��!��64��
d_����A���-�j���42%��p�1v�7���
�_{gK�L
�[O|Ҩo>�����2x���bN2�=�yI2dЩP*��O����
�`�-e0���v��F~f��
� �5B	פ�E��r��E��=���A���u�5�GX�%���t,FK�f��?N��
6���˩s���Tt%�@�C��#s�G春�{\	��NB����(
$+�k%j# tL�)5q,�c�mF��O-=0:�c����.����0J~�=T�Di����֎��;�z�?
p��endstream
+x��ZKs�F
��W�Ḧ́̾��L���y��M���Ht�ڲ<��G}�]�\R$
��t�
d��X�÷+?>y���3)
o���t&EY(�g��EUU���/�����^�sm��J�.���~ 翞���Y.M�a�y�\���2���F�
+d{J���7sUf��`ba�L��c|G�F;�/��>K
{6Ͻ��@44�r3WU�1�'�
���W�ـ�ʪ�5�awC#P�:|[
9���S��Ұ��W���f>��n&�|�����R��hy>�e�_�x�FV��R�8��
=�&͐\����
�*Jc���J
+��&�&Y����(���3Q��{Z�d�Š�u2�/ii�P1��`5�Rf����
+��$�]�f�;|MJ0���€B������
_���i��.��8�������祔�SʆϨ{u�ܘ-�q��h
�>�O�4"��J
+�.X
��
���@4]Q9OC�
ȍ���m��ڗ}���,x
H�:�ʀ�R����&ߐ�s��^6+�o�Յ�������ʡi!!����7tOe�����{zu
o�c���+��3Uv���d�y��5U<ξ䩷�6�[:Q��n�*-tWׂ�8O�x�rҨR
&�10A�uc���fv&{~��������]���zΒb�6�;���m�X�R�Ԧ�Z�V��W$r'��lk�
K^+�� ��!�rY���W���0ZuBNu��pF�Q�@
P+���i�
��_��gp��+Z�3�l
U��#��ȋ-�U\Mxtt�6A|��n�

ջ]xO:����E��.I��i^�Y��i����s�
!�{��
q�z ��<@d> �'��b
+���m1�ۢ�m��QP%x}nCo��m��cМb��: �\Wˁ )�G����4ѥ�EL���ڃ:�;D�㹏;q�E�2�\��	�
L��B5���8���6
�P���,��R�
+�c�1�Q��~���7�X����f �R{��T�P��WA�S�)�aU�،4G��'<ђ�}˓6���۫n`�*�7�U��
+����8
�:Rq�c���i�f�Ċ�Nܩ��a��a�G@]�����a�*��ԅS�i;�*�–%I�am�@4��5�u��K���\W���S��I��Rg��/n�;z;]g��&�S1��
r|j�J�S�:O٬���<�9�\�5��%aI�#�뛅
+O���:���W��d�Ƙ0�Q]�	2-6R����j-[$濣��+��H�f��қ&2 �Ƅ7���La�1��'f��N-E3.4
�9���2e;`�:�
�
a�Ob�m�o��C�����֨cC��ߒ	�
��kZ
��V�J�w䢱
�X�y3�� ��v
���� ���&�F���!'{\r���h!zH����)�4�)񺓢�e�"=��h6�ê�¤�������
H�ݏCw��~�n at r��a"0�ˑ�4ن+��y	xt�٦��`R�~Ό٫��Ș[J��	�ho�'�{O�zm�GR���`�-{
�1���TFU�i�~�U�,�=���,�[[3�ZxN<]3%e�k�(�#C}����K_EpqzҠ����3D.6d�(! �
&$����
+g�-��VN���-�(���hf�
F�*uQ�n�oF��T��v����7nÆ"\�� �ms'�i�� ��K[��
+.
+_~�a��3��f��y�z��_sHm��Cj�O
Rۻ�&;zH
�e�eMG=x�`
�S�m2R��&U�ڄO�6��q��.�	Ϸ��	u$	oO~qJޭ�L��Vmq�PuK-�gDY�9Z�Q
l�1{[ 5����Ms���mnw�.6%8�n��v�n�@۫{&���0��^4�]�S��Mpv9��e��E���n�
B�����Or�ٜ�°7xz��t
N�9�~|N�{�G��{����q��e7����W�Rk��'�S���.~,ߔ�7%���M������%U��-���o ��B�˷���;�6�
��&T�� ��4��ON
�
+1�endstream
 endobj
-3456 0 obj <<
+3725 0 obj <<
 /Type /Page
-/Contents 3457 0 R
-/Resources 3455 0 R
+/Contents 3726 0 R
+/Resources 3724 0 R
 /MediaBox [0 0 612 792]
-/Parent 3430 0 R
->> endobj
-3458 0 obj <<
-/D [3456 0 R /XYZ 72 720 null]
->> endobj
-1079 0 obj <<
-/D [3456 0 R /XYZ 42.735 722.491 null]
->> endobj
-2176 0 obj <<
-/D [3456 0 R /XYZ 42.735 670.307 null]
->> endobj
-1808 0 obj <<
-/D [3456 0 R /XYZ 42.735 647.015 null]
->> endobj
-3459 0 obj <<
-/D [3456 0 R /XYZ 42.735 609.278 null]
->> endobj
-1934 0 obj <<
-/D [3456 0 R /XYZ 42.735 557.094 null]
+/Parent 3723 0 R
 >> endobj
-3460 0 obj <<
-/D [3456 0 R /XYZ 42.735 519.356 null]
->> endobj
-1081 0 obj <<
-/D [3456 0 R /XYZ 42.735 481.619 null]
->> endobj
-1080 0 obj <<
-/D [3456 0 R /XYZ 42.735 429.435 null]
+3727 0 obj <<
+/D [3725 0 R /XYZ 72 720 null]
 >> endobj
-3461 0 obj <<
-/D [3456 0 R /XYZ 42.735 377.251 null]
+3724 0 obj <<
+/Font << /F29 544 0 R /F149 920 0 R /F114 560 0 R /F126 638 0 R /F35 663 0 R /F158 1216 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-1084 0 obj <<
-/D [3456 0 R /XYZ 42.735 325.068 null]
+3730 0 obj <<
+/Length 2179      
+/Filter /FlateDecode
+>>
+stream
+xڵZKs�6��W�(̈́,�ssҦ�̸�8�v�M��8��Q"����w�X<H���4��X,v�}`��W�~x�U{�y�j}v��̶�6g
�5S�����+�����@�UF	���3�Db�g5<��{r��6J�+��X�?�����`�~l��2�D#g�
����J\��c���y�X3{	�
�x
����QȲ���cOo�lp5�٥_0l�e��2����R��ίa���3�uc'�[x6�����M+:J���^��!�
�;�HaW�R��}��AUa�uX��EҺ���	+�HX������f�_��n�]ߧ����s��9��������%�a=����jA7�')�>��vz�
�����#}��,��A6���?�>��X�E&��*[~����_�1Nx7f
Z�sjׂ��ǿ${�]�	�y�мֶ!��QJ���
�,�}߫��S���X'�
A��C
Bl3�"`�뎠�dΡRt/���@�K2�6 �Vؑ�$Uq�O�B�
�%l��mS�v����v�6.�̏ݧ
�8/�_�F�
K���bD
��
���8���vc��F7�zܣχ�z���N�ZW���_��ꇑ�/_Go'}�=�t�?Y��y��5��*�-"�pA� ��l�
>�Opߺn��f��M_����&�fM�1"���{=��I��\�b�"��d��?�>�p�Kۘ\����mp�
}C۾����C�W���w	��o���%<�gy�a%��K�
ó�U���R0S�H��J [...]
+5�Z��Mm���#k�����7�FD����сv١e=��� 
�(�c��*=�D`�D%"�)T"�m�
���/xR%"(#C�gd�#�!��iI I���"��ڠ"! /h�G���r����ǧ�Bx}_Ĵ�j�D¬c�w����a��m�"#���]�i!���
���a��l.��.�]�ؚ	- �M�R��~s�20"^zl5�x)!
���ab��6"
V�L
��x��/yV���b��>����g,�+*���r���U��r�
��.
�/����"���2Dp|��.Eo�o�.�D��4�h�0,�D��@b�â.
�
��W;�hqH��JC �	�Z�j�]���
k跄�eB�SX��!
����P<І�dCY=�l/}J^0JpJyݵޒ�a,i����R%wwo�%�J�i�S-�X1�d!%�7�R������Ja��k�nE%��\PI���/�Wy"���e'����%Tj���8X��iW��W��)6誴�V�s2D�Z����� [...]
+�ÎL0���0Qц��Ӱ-�߀vq�@=��+I��S
7b_BO���d8�
�+
�)��u��P�?��
�2Ɣ'͹�b�	�JYj/�B�����o�z�xS��cW�j�E�Sd V��[vM�o��T��#�ʂa�L���vҰݖ��W�
2��
��۽��8�w��ڄB��p_[�_@%R�CA׳�o<��O��q��؉q;���SfY�Qy
+��&m9S���Q�Zgƾ)h.����%���ͺ���Ö�2�j��G���X��[Ϯr��0�G��2Mؚ�����
S*�
�x�1X+8+�'`[m�
+!�#��I��/��E��#�WN��X�v�Y��~�6Y8�f������#x�(6V+�
��9Թ�l� 6�T�ۨ7ð 6�^8�r�GvR9�8�s�m���(6.��r at L\׊t]+�͋���9�C3_�7�2��QvO�y�ѵ�h�IrR���e�|�(��e�$��
�}�D�B4
���6zW�/�����og���%cn��0�I�O�G"
�,�ҟs
�W٥�:�=����M7�a��[���`����R(j0&۔8
ouݺ[P����kIL��t��?h
�Qendstream
+endobj
+3729 0 obj <<
+/Type /Page
+/Contents 3730 0 R
+/Resources 3728 0 R
+/MediaBox [0 0 612 792]
+/Parent 3723 0 R
 >> endobj
-3462 0 obj <<
-/D [3456 0 R /XYZ 42.735 272.884 null]
+3731 0 obj <<
+/D [3729 0 R /XYZ 72 720 null]
 >> endobj
-3463 0 obj <<
-/D [3456 0 R /XYZ 42.735 220.701 null]
+3728 0 obj <<
+/Font << /F149 920 0 R /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-3464 0 obj <<
-/D [3456 0 R /XYZ 42.735 182.963 null]
+3734 0 obj <<
+/Length 2347      
+/Filter /FlateDecode
+>>
+stream
+xڽZK�۸��WL퉪��	�*��co�Z;.�$��8�F�U;e��#���t�$(�
�x'� 	���_?�?�=��+i‰�u����É�u'��0p���{%��_g���4YOh5ž��I�dUÁ繡�*W��XϽ�
+���;�����l���44��s��q,���ޒp��ln��~��
�%
�<�_T�-6�5>���7pqK�tJ��y�n��yn���`����^�(�8��u�$.��Gױ[|��r�
�p��;������Ƹ��v�V_f�����i�|;Hz�el
΢/2v������h]�K]�����U
R��ɼ��v6W�J��
Qm0�9����,�٤�]Feh+@'s�m|T��}q�ݹᵭo
.��
��کZB{�@��?�r]7����!p�'@��(ȍ��ہ
%-:�ǂ�KU�b|e[�(��`��Q��&�v������������L���|˸IC��d�]Z�54A�a�N�K���}��
���c6/��g�ۚ:�g[߻��%�.��@�	�č*����&ZH3��f�
�@c�m�
u�=���Ӄ���np�
7x�v64w�=����x�{)$q�>�U�*�
��O<�Qf���� �n��0�k�*%��2��n��Η

�����NG�
έ�%��:��ލ�Q��v�y�z��n`�;�i2*�*7�S\�π��R7<�m��f�>RT����,����)�Q�)�
�O��1����G�|� 
�d8L����]����0�L������0��0g/��*r�u
$RC`	]%^��c�
�j,����Gי>��:졒��v�f�/�5��I�V�����E�g��n�q�,��d&�]����N�vw���~��v����A��xy��y��8\ÀM�� �"�4J��'�A�Sz4>Q� �(��'����&�S��F�
�`���-��u"��N&Je���E��e���r,d�
���^�$N��o-�a\P\�l����a�v�.a=�a -����vg�@���`����g�r>�H:ٵ�C�����雗h�w3�C̾xY����K�2�]K�2���]�n �P��*
�[�td�
D�փ@33b��-�
���|�v���C��)�AZS
�
��-�[��+��~'�p�R��AXI��G�R0z��ՍTl.J��Ԯ��*��0�RE���EPᑼ�GBd%GxKk��95'bc��ccY��e�Y���Y�4��	�f.1y�gtuHZ(��
�c5��Cb��AY=#���_�)�{$f���}"�4�-�h�8A�}rd�AA�;����
 ���"�V�:m���'���D�t�G�i^3����.���	`�Qg�Z( � �]t�&�,
|wf���g
�f��F}'+��UA�{��Eհ
��ʫ̸
||F eA����B��j�����
.�|W	%7��|TH��(}ڶ�Yf���*Vd]�)
hݳӌpє����9���D)s�8�
YAʂN��҈�\>��
+Q�
+Mm�J��~h#y����
��!�/sF�Z�~�x�.�5�L����*ea��?�"`�+
�:��#d<}CC&��N�O
+3]��k� � Mp�[O��4ak&���)����D��a
�:(�y=d�T�+�QY7V�*��vC]��rF��w|�E�7�%����S,�~g��l��{!M��>
+ӄ-�L�e��W��<��
��Z�6�.�ΙZ���^-�J���m<�+d�u�o��8`n�oQ���T�
��7�P���o��!���ku�A,[[�
+�}�ͭ���t3CY�mi��$S����7��WaBR/��/h�M��
�$GhL
��5m=��3$����0�9Y=NgM���tH�

*k?I��b��_�x��w�v$�:ˢxV
} TH59'EWw
���9I�˴tۖ#KE�k�:[��RJ��Y㒋?L� Kf������D���m林#"L��M�rݲ��M�D$餤%���18�
KTa~�m��d����w�m����c���)��r��0^ բ��e�$JYP�ᖈOsKt�Kmb��
=�p�p��? 4ǿ��v!���e�u��j�A�<~7^_�ܢ�
]-�KV���X�-`��:!Jp���TnM��������ȑI9�T����'F��{���o�����OC��zT���*�MԲ��(,TA�i��[t��4�f5�Ԣ���
g`��R�<�A�h�RM!�`D�t����b
�=�C�� :�
����A����	j
+:r
:�l��A���x$t ~9��Ng��
�'�o%�r�)r�?���"OSiF�\�W�׿�J� ¥
 K�l��@((�Țsۘw>{y�����endstream
+endobj
+3733 0 obj <<
+/Type /Page
+/Contents 3734 0 R
+/Resources 3732 0 R
+/MediaBox [0 0 612 792]
+/Parent 3723 0 R
 >> endobj
-3465 0 obj <<
-/D [3456 0 R /XYZ 42.735 145.225 null]
+3735 0 obj <<
+/D [3733 0 R /XYZ 72 720 null]
 >> endobj
-3455 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R >>
+3732 0 obj <<
+/Font << /F149 920 0 R /F114 560 0 R /F29 544 0 R /F126 638 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3468 0 obj <<
-/Length 2715      
+3738 0 obj <<
+/Length 2486      
 /Filter /FlateDecode
 >>
 stream
-xڭYko�6��_,�];QD�z
P,2�d���I:�n��*m�#K.%%�����Ҷ'
,�%����}�{.��ꛣ3�
Irp5?��A�a���9���0Ke�9J"9A�y����0Ϣೈ՛�ڶ���Y��Mr� l������i�<zٗ��,A�ԃ���2�����Y�{�8JC!⃈Nt�Z��+���༭Mof
O�$S%�,:�����x��k
-�
�<�5�,����B�J�4{9�Y�� �~~t���/xS����N�$(m�j8��ϑP��� ?˛�hfnM}���VuȻ�q�(=8��Y�{��4#���I�iI
����u�Zj~���Bێ�Q�sn���[�"�48�S����9����v�����
�A
�y��>I���a��'2	�����>cQ(�
c�%l��-Ç��]I�c�\�`�?������.��.�8қ�Qbo�
��ͬ����I/q�d�\�so
�R��^ꆇ�PdT
zm��$�y�fr����`��
-g
��� O
-�ypn�yY�d��
�b`Ƹm�[i\̲#�Yf���F�7
�j�����
�M��{�	H
�*엺"-�!�|�˪�6>hb�b(�ş���맋O�sr6z��>G���y�`�绋��O.q��"������9��O������O���^":D�d������w��
O�֖8r���ӥ��^���X��n��N�L1|�\���P)���qW{?�j}?�%�
-�^@�
��E�Mō׺\�ک�-wg�#��Y趤��@��!��e��94���������s\�Ǻ��e�=����5%�����f��}�Ȅrs��G���ߧ�Yx�X� o;غ@���]���D�B	M��_qE
-��f,�8T���n�
-�P��WD�
�d�^y*�0{ZZ����F�1h=��"����iH�蝳k,�`�i�c�Oc
^UFp��'����dM�<��
�^�x,���VUq0[����
�m��'��[nⶸ
y_���Le#;���B�Q���$�����|T[i���p�$�;>*7�n���,1��I�W��B�ոR�z۵C����xNQӿ�k��1
���@KX��^��<�6�
-2
�^���r�]���d�q)�	8�
k���
3�����ƅ��
d�?����g?*X׺�0��
��`�f�;�2=�/��7]�C�o���đq�͙���z��M�$}�
l
�xpn��
���
�$�����~i��x��G���P�1������&�K��cІ�],�
�
6ݍ0s���!�N�ih��q�5�Q�
jœ�� @��3��6|��Aו�$�oI �x�A��@BY<���8�q�J7��̿5�� �ߛ�>K���,
�z�߉8
�
Iv�kP��hH�2n��P`a	ϗ�r�E(�xL��v4
-�1�ܤ�j�}���1�ܧ����15:u��N�����U��+�����H6n-]=�+��a�b� �����Bw�k~�}'T��9>H��A�����"���ܴw!�m�_�<!S�������V"(�Z�
����5�
<�*�)�|kY�P�cܴ��6&UjL�`���x&q6�fDR�ƙl��T�.�^-ѯ#�-CP ��鬭[�
�j�r�!%��XU���_��7���%�Ǖ.�J�����՚�.��c!(�Rs�n*�DA�H��C� m
�T���l�\�z�&�-v*
�ҭ(N�W��	
�c���l�v�	De),}iP�c��0ɷ��V�UrD��v��B׸@�t��g���~

L ���+�hM���~��ڽ�4t�
� ��a�Oh��~�ѓcȲh�B�5��(��dF������H|a�;��~�)��
M����_�
}^����
�фML.CY��4�����`���K�w�[�쵛���ŘJn��Ǖ�o���8ey}�`('J���P2��?8A��� 6�(��?~^�~�L�|��<��<r�
�34���c����b���(���d&����_��
-�;��ѭ�m�\~B�yX%p���H�PI��6eK,c�_�
-�^WS-=�-F�Z���`y���Ͷ"L��#H
W�Ȇ��M�a�{_=n���l]��(��c"�a�2˭�y����Df#���$qe ��Fa�#�t�&
��s`� ��踡a�����3�%W֚Yq™J*�ظ��a���$���Pd���6��b�"~_2�t4R	 ���B;���IK�	;
��7�z����̭�_DC@�sG���=�г*c)���Z���pE��a�9ʴ��1~�"f�ظ5zͭ!x�b~�䃒���B�⏍�e��
�nM
z�c�i�&O���T�����?_�U
�E
R�@`S>��@M}�K׋�g��'��k~�eQ�W
+�3��k��YK�ը|�(b�'������,^��Șg��8�*t����i�OM��3�,�i��鎣fG�^���9�Z$��/v�H���%y�!$6N!L���~���F���=���
l��'�
~��/�yWZN�{\*��i�.���56����2��x�,(�J�`�tf�GT
�%�pvDG>�$�'���
b�����n��+��2y�edRгʍ�y�S�ڼ�"�:��
Wv��Q��nx����ܺܧ�T��̷��^����'
һ
&ԫO
-i���9C���_�I�p	��,U$G
K��ӫo�
ʰ�endstream
+xڽZKs�
��W�HV��~?R���x[�fKQ��q45Z�VQ�����3���ek#����� |@��'����H)��;:9;�I8d�B��f������=�e=�.Hw$s'=W3��k����-
4P��a�µ��?k�>��Ϻ����0S�b�z
�N��e���
�/l��-��è�%\
�g�x���妴��e��aB�@*��l�j�	m���lby}�ا6"i]����p�77)����빎�{�y����F�y
�,`�)�~(_=���B�:9a�:Z(+��y	(
�7�>�8��h{�s
%S�ަ|xU�e-7�G2-�LPv�W�+���
+�
�גf?������
�f�����J�	q����f�.���m�7�-�j_n�%��[
��B���i-�� �҇�\�����
o��m
�"+
�E�8�����,��!nn��W6�d}e
ڇ�5oD�,����B[!A
ϳh߲h%T:̢��՚�3{�� $&���3_P�MyS����k�d<�lO�~S����^�;7�rQ�tN}[�mK�j���F黶�mo�E����">Ì���<�+zv�W�rR^7���j��tL?S:Pz����}]L7+��(m�:�e�����í���b9y�d�EX�~�#�F�f_���gtR�X�ݯ�ɧ.�x�ЖKBKU8�0������ �:�����0n-E���e[�2"����%�i—
q�<����mFmˢ6�ӄ�� �m��w����mq�kj%��a�{,��i����h$�]q��]9r<�n*<�H�pwUê��f�}����=n�Es�X��
�������R-^�ڍ�l#F�;��=�YW/?M�G�5
����/�:�`����6�
�
+������նua����A�Y�պ�>��A�?��[4��
ndb�'���N���s����͢�3A�'@�HԛJf�+^C��$�O�f:!
+̈́(��(PB&]�K��/� ���n����HG�-�?�۔�����W�"%�����@�}��V%fh�[
Ze��No�0���}��
~���i:J�f�L,J��q:J�هd\��+t��9l���8(9�<�A�w���7P��8i�͛��hd5��r]��жҙ�z+���|�
�x^��~~����!�Ӌ��2ΎS��x���9|�3w@�:f�u_��~>��T���=/� ���n�u�ǻɫ��!�����!�H�J�f�yo]%����jU�����#}Ź�=����)
�Kr�%���2I���H>��ݎF�t��洄�,k�&Jj�)2M�t��
�߲
|��y(D�w�����v���j�2.����������9��Y�k.%8[�
��g�'4�&����q�]v��UV����Y;�p�+π��j熍�Z
7�d�����]�]
�c�&�Q��긓��S1>�.�5�ht]��9��Jkp��$�S�����C]�x����F��\�W��v_@�/����#F|
�^����yŧ��,�I,�@��-ld|�t9���=h\-+{�ab��a�� [...]
++�9UW�}x�R��
Y#�@�d�1�U��%��*�ɺ$)��V����
%g���9�1�-�K�Ξ/ׅ�
}�]��Ȼd(KΌ�eͺ1U��s�J�-d��������
�����'h�w9�|�T����ݪ�J���IN>(k$-M��J��(�owL~O#*�
i�U
@3"Bd~vT�%�8A��V��ÒBo��Bew~/�����dw��;O��O�$��N���f��R<�)9K[e^�:�!1q��:!�
s �>U�����:�
I�W�Z��黗�<���aD�D�uT���������D뚕,�*Y��{\�$<f7E��:À��DZ2�D�B�]<y��'n�j/�
�<�a'���s���1�%��H�:���o�ǚ4m��@��{
+�z��m
>���f:
&l�'��v��9|��nk����N��|��Uv��/�hZ����ȩ���C��3�]&~5�+��eyy�g�*�x
q͈�V��eiU�OBC=A'h��U�e��*��d�
P�Y��<::mUd(q����
3���M
꘩�
�P��1�=����0/����)�Q�)^b�"}�`����r��
v�ZNrP
�㴁"}
#��c�h�|����Tr"y��ˉy���_�ޝ��?��Byendstream
 endobj
-3467 0 obj <<
+3737 0 obj <<
 /Type /Page
-/Contents 3468 0 R
-/Resources 3466 0 R
+/Contents 3738 0 R
+/Resources 3736 0 R
 /MediaBox [0 0 612 792]
-/Parent 3478 0 R
+/Parent 3723 0 R
 >> endobj
-3469 0 obj <<
-/D [3467 0 R /XYZ 72 720 null]
+3739 0 obj <<
+/D [3737 0 R /XYZ 72 720 null]
 >> endobj
-3470 0 obj <<
-/D [3467 0 R /XYZ 42.735 722.491 null]
->> endobj
-1032 0 obj <<
-/D [3467 0 R /XYZ 42.735 683.636 null]
->> endobj
-1033 0 obj <<
-/D [3467 0 R /XYZ 42.735 644.782 null]
+3736 0 obj <<
+/Font << /F149 920 0 R /F114 560 0 R /F29 544 0 R /F142 743 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-2323 0 obj <<
-/D [3467 0 R /XYZ 42.735 577.036 null]
+3742 0 obj <<
+/Length 1130      
+/Filter /FlateDecode
+>>
+stream
+xڭWKs�6��W�Vr�D| =4N�Mۙ�h���9($,+�D�)�M~}w
��Xqr�D
��>�|>?{��f&�0y>�_�*#�bV��H5L4�K%����/��:���2�g)	�XFF
+#�N\��f�HM�җi����scc
'��t���s�h�"�g��0`'J<���T�kx��X��@g���99
k�
;�-���4��W�B�J�"N
+����q����Ǫ���Y
Ul��%�5�6NTA�K���X���x�0��`�j�0;��B�8
+�٢�
hQ�`<w{��Ƃ7|�+E�z
+Zֶb��s�����(��V�t��r��(p=X�����e��,��q�u��!4��5<Ek^FǞ�_1%�cB_
H�cb�4�	S*&�<�4y"i{��P���ܗ��u"iT�5�*��Aht)�tR��a$���BN�������JAA����?��u��8/�"���Ėr�Q��Ovֽݱ�r�P�����to1���@�99YK�e��c�/�m&zK\�8;�����Y�1�0]:k���|��
��7��"�N:�7Y��a��2��@U�~B�ڀ�0��&�k�8��O�����D�"3�A�|=ʜ?PC��Q6�J�
+��
�޳�}!H(�]p��\X��G��Ӝl�E�2��0��=�Wd�%>9�:܋���Qt:
/���uW(8�_tj�7���m?׈�P�Ub}�m�_�k�^�2����q�
��(w�xN�#-��
�
z_az
+�,�/��r�:�7����8��Nc�Q��Q>���j�����2�u �s�@�m2�B_�r�`�� e�h�w���c�``^��&�v�ʠㆫ�[��Cp�9؟�b���]�_�`[��뺃�舤�f�:A҈�R�qɝ�fʘJ�,�

�R�
-��^�O�;��[�䱯��"b�h�<�&�.�^��z�zx��L	΁���~L��L���qW��d�7����G�/���72tg�����	��0���6�˴q�����Ӵ'�Te�3?�3n��
O��R
��M�f��X�Y|dx�\���ǂ+(�C�e~
�x8�m�r3
+2�N]�J_-�8��E����R�P�����(��{3�2�Q��b~�?��endstream
+endobj
+3741 0 obj <<
+/Type /Page
+/Contents 3742 0 R
+/Resources 3740 0 R
+/MediaBox [0 0 612 792]
+/Parent 3723 0 R
+/Annots [ 3744 0 R ]
 >> endobj
-3471 0 obj <<
-/D [3467 0 R /XYZ 42.735 538.182 null]
+3744 0 obj <<
+/Type /Annot
+/Border[0 0 1]/H/I/C[0 1 1]
+/Rect [177.296 296.333 326.144 308.876]
+/Subtype/Link/A<</Type/Action/S/URI/URI(mailto:zelig at lists.gking.harvard.edu)>>
 >> endobj
-3472 0 obj <<
-/D [3467 0 R /XYZ 42.735 499.328 null]
+3743 0 obj <<
+/D [3741 0 R /XYZ 72 720 null]
 >> endobj
-2659 0 obj <<
-/D [3467 0 R /XYZ 42.735 446.027 null]
+530 0 obj <<
+/D [3741 0 R /XYZ 72 623.801 null]
 >> endobj
-3473 0 obj <<
-/D [3467 0 R /XYZ 42.735 407.173 null]
+3740 0 obj <<
+/Font << /F149 920 0 R /F114 560 0 R /F29 544 0 R /F126 638 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-3474 0 obj <<
-/D [3467 0 R /XYZ 42.735 368.319 null]
+3747 0 obj <<
+/Length 2088      
+/Filter /FlateDecode
+>>
+stream
+x��XKo�F��W=P��7ٛ�8v�5b�E��Jt�F�
Q��?�3���R���@�
V���>8��73<�8~%�>�:u�;�
9yde�*��Ƴ_���H*h�-�����z?��������W�8"-��m���ѩ,
�2��J��
�
�7��529M��9n�
�C���O\�,��K�R/s��h�	/�y�>o��V��%/���{��
�%��������H��J�h䗞���������<�3�
T����P�TkKZ�k��U{W]8z����[���HFK~� ��Y5��WuϦA��J89��h�׸�m�*��Ny���`(m�f*^;"���UhVe2΀���W�jSM&K&p����h9Y<�U��"K���
թE��
��Y�C�B�
ZM�*q�
+	jt�FC��2o̊���17T�GVD R�p`�40��X�����>�5[�Ǽ�7�S|�=�a3������x}�_$�
Og�w�%O�yD���$/i�P:K���
+�O����f�%�NGP��B�rx�z@R�a�ɟ�
=z`{����
�mq��o��F��N�<
:�x��O�����p�#m��
�J��y���ˡ�� </�� =#h����rC'x�����RE�k��a��0g;9�6�
�X�,-
+Ÿ�=���W��jp��
W
��QY�g���y��{�g=���<�P~�G����
�q�b���鶑��w7��#
gS-�fO�����%6�
+�O|�3�
�L�Bޡp�?��^\�BO���JR}���V�v��]��
��<�����
+|�WV�i`����h����"p~�
�MED�3��G�a)��U�5�YD;���y����K�9��Q�k	(3⥇��ǜ2si�U��;�p@QTU֨��񜬱�l E��ԹB�m�+���K8RJ����߰��[�
�����"��!�X��:�����P��Yr?y��=���
Ju���i`B�7O�Ҽ��$)�  !s �z����Ƨ��E�y���Og �փ��^/Ch#�Ձ���;�&k�5�YL�&t�1��@<o�C�ĉ�-��	NGhbd���\ ����4߸�'�F�*��,dR�w�ƫV����lԋv
^�c*ذ
�}_F���Xt����{��
g�S)����˰D{���,��-�,�D�e���G�
��.�"�V���- �R��蠕@�$� 
(���_ �tv�:T’.n}wԹu�i
 q2��>�

+���J��ue'e��*؅mb�[�NX�z>q��ޱ+B�vR�/�`���, �c�
 SM��C[d"�B0��������Gܞ��Gb��k��
r�D7�T��%<}���S��������[	��,�ϚN���vu���$��"cGoC
i�Hk��A��(��
��	�p\y���&�q;��T4
�Z��8{H��D��
���ن2�2@������eP�:����@K5'U�we��/q�"y�z ��2�+Ѝ)��
+�n�U����p^23��Q�`APq��Cæ՜�nq���T���R}
�؄�;��d��t�|�ہ�P���C
2��/P��伴���T�	e'm�
[�;���7
+�D���콊�2$��-��ruHo�����r1������3U�zq���:¾��Ԕ9O+_=�����4�K�E���lɂ]��KDŬ4*-��D���W_&B�����Tf��Rb\�
_G�Q���4�*��!��Pijw���ϩ.�0�,�?C � �>�̀X>���!
+%�Eo��6͊H���o�r�Ї��b��_
zz�E*
+сJ_���/V�0!��!��T��e��"
�9���B��

+��i��R/v0A�y�ɵ�
6^iƉdQ�
˙
+����!	/;�k_D�n
+��ǯ
�J���_���Fu�N���w��6�S�\���%N�w��l��R^$�ck�-F
+k�76��˃1���Y�_�3�G����]��i+��>�|Y���ו\t6�w�;@�������
��1}�ڌ��E����C_�E��ֶ��	�@f��+����ggCR��HD,R%���0hQ�����?�q1�endstream
+endobj
+3746 0 obj <<
+/Type /Page
+/Contents 3747 0 R
+/Resources 3745 0 R
+/MediaBox [0 0 612 792]
+/Parent 3750 0 R
 >> endobj
-3475 0 obj <<
-/D [3467 0 R /XYZ 42.735 315.019 null]
+3748 0 obj <<
+/D [3746 0 R /XYZ 72 720 null]
 >> endobj
-3476 0 obj <<
-/D [3467 0 R /XYZ 42.735 290.61 null]
+3749 0 obj <<
+/D [3746 0 R /XYZ 72 583.685 null]
 >> endobj
-1041 0 obj <<
-/D [3467 0 R /XYZ 42.735 237.31 null]
+3745 0 obj <<
+/Font << /F114 560 0 R /F29 544 0 R /F142 743 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-1034 0 obj <<
-/D [3467 0 R /XYZ 42.735 184.01 null]
+3753 0 obj <<
+/Length 2466      
+/Filter /FlateDecode
+>>
+stream
+x��Z�s�6�_�'i&�	 ��t
�i��WO�63w�Y�mNd)cRn�����)Jvz��(��k������od�'DRh�wq�g�Im�*h��=�i=���D��^_�'�ԣ���Ľ�㿿�:
+O��w�4�?���%��D���RZꗱNG��u��|�z�L��n�Y�v�iUb2�#yS*XgO�0����&�Hm��D�D�
x{
TSx*>R����1��C“��cL
�w�)h
���ab�c�@c�3� ˨qq������Zqg����W|j�� �<�	f����؁�_��D~���q븉�h�H`+
��a�Ѵ��ʽ�G$
��/b"�ݤ
+x	,T9�p�@�?���8f��s>�^�M����3�]��a��/��'(�cii;�K��� zl�h]0�0ǭ�d�P�.
��V���CkV�K�)]a����?�&L��Tw�V0̹)�<_���13&1�� �g�g��H�2�5w����yI ��I{z��2�
�8��y�,�}�
+�� Q��f���xR;��#<&��5��;&�)���Li�[$�2��<ߔ��)(C��\v�ڂA��%T
H�
̉T-�p��
��)�fx ��Ӎ�u��z�>?(܏�I/�5�s�~�uh̙ X�}�P���<�%�O�x��O��c��q�:�閧����F��>�E�p,��(
�րbz�+N]]=T�k�Pm��N�)��
+����~x�Q�h�N���rT���#v!��J�VW�SpV�joqGW1@
�;�$1/�6�&e"D�ɝ����!TT�Jg.���%�ߣXh����
����	�F����;�hc�lK�j�{�B��C �

��*}2�C !DQ��³s���ߓ8vu�[�
,��C<]��O
+i[�㖽����Ud�Uģ����$�ibqwp�$�O���rl!��c
�f��$&��͋��j�n�`ۚtԬ\o���
�$Y�ȭ��[�>-Z%�/gԷ�\�� 
�
+ ��qY7Ȩ��!s�c=�Νu;����O��uy3���R at K��܂���6����h�Ӧt����t��I~-�@�v!eV6���TRn'�X0��Y
+���7���_�.N)6���~o���h�-��A��0�O���4�-1Z
�^�Az͝�����:l��>�z�8�J������ΚV�lJ^���<d 0��+�?~�8�#�+��z8'pH�p��H�g贼���n�������-��A�3/�e;�H� �ݙ
��jM2#�
m��fÓd&�x��Q at F�"� ��nZn��2,E�
����ǘ�B���8��� �
���kJg���T
)�!eMN��=�(:�SF�N��J�pLIi�QCi��eQ!�?XF
�P�s{4Z��ҳ�e�pZ��t��2�"E�e_[���|��+]l�O`���m�g�Z��.�p�1�n"����4��:
+д��<��-�)q����끄�� /�Eb���^m���"
�a�W����Cڼ���6�������U0��
+��6)�b�������.$�6 at d͔���Z/�#�#����8�J �\�;7��O.��}�i4��Pl��A����
�^׼b�VB�K����x
t�x�E���HH,�x�u=����J$d
��Q�F�/#��A
.��
ǟ�H\�����-;l�=����G�[]��eݮ�9d��5Yn�d
��5ٶ��#,��,���s���(�_~[�6i�Ԡ
�\}��@pĊN�wM�Rta-B��jd/�U�`y:��--+b�a|KL��#�\>��	�.�.�W��7�5���wv�����<y9�iH�ؐ���uB㧗H2�X�wzϬ��
+mŕ��J�� ��k �B���[�I�˦�4�YDS�̔�6D��u�N0<�if:s�Pe;���=����{Sv[�:���;�?� m�&V/����y��:v.����%x�����z�S�9���z�5�M��Ц�Lӽ��Ef�)��(��\�g*�\O���)���
+ߖC��K�ȇH��F��#@_�y]D��a|:�ďx��
+b)���F�X�m(��P��',��
���#X\{��ud&u �9�p��p��O�c��<�Ǘ�{e�9�R@�C]
Վ�4)��h��̧�PĘ������P�E� _����N�"7���
+и�Y	6V:u  }t��~�����
�N�2���uZ��ǜ���'=j�l�
N�kwNQ���Z]N
��c>�ߙ��
�g;�]Z@��Q���D
3��n��>��U�A';�VD��NB��GKzU,�"B�baO�
n;��Q���*�m.2���mx�Z>���ϏF�ƚ�̡}��(�fK�krx����t�4�4JC�����D(_.����2�
��wݕ�0�K�"����>�H�o��o��/���L&�?��g%^O��H�%Z�
��6D�9)P�8�x��O��endstream
+endobj
+3752 0 obj <<
+/Type /Page
+/Contents 3753 0 R
+/Resources 3751 0 R
+/MediaBox [0 0 612 792]
+/Parent 3750 0 R
 >> endobj
-3477 0 obj <<
-/D [3467 0 R /XYZ 42.735 145.156 null]
+3754 0 obj <<
+/D [3752 0 R /XYZ 72 720 null]
 >> endobj
-3466 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R /F29 672 0 R /F32 668 0 R >>
+3751 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3481 0 obj <<
-/Length 591       
+3757 0 obj <<
+/Length 2781      
 /Filter /FlateDecode
 >>
 stream
-x�uT�n�0��+��(�b�M����@0�Kc H�
�N��R!�I���
I�u�^4;9��P��W�7�H�K���!)yR����3�{��,�LqA*�fR
򐫜��,u_�XLx`B�g�*�f�8pxe ��S^�֣��u)��{��u�nDՎ�t���9���TIRC�`�1!��|t��~
�
�|���~��k��~�oq�2/��I*e��`��m�d�jhx��A�2�
�ۇ��i:����0��d�/��)�ĕiIKΒ�߸iR����OZ�F
�.�(�T��f:�:*9(�G
�P?^�
E�R��ڗ�c[���˽�R�;/�'I*d'$ʘ(�6J$�Cr�܋���8�ݞ�fC�=���4d�I
����z�G���&��3�1�ԧ�ߚ�8��޺�Y�5�����тc��
/z����J�.�Q2��K$ �Θ�L����}�أ����dE�� QF} @�4������y���
6

A^��1�R�u�~�1�ZᲮ��{D�������'��sq��0ρ�Ti
Q��硛P�A�Rr��k=��̑�$Z\��ؤ �|#��2%Ձ	�[���~��4#endstream
+x��Zmoܸ��_a�V�fi�"��P8���č}�\/T^k���Wە6>�ݏ��pHQ�־-��HifD�y]?={��\�{Q$r����{��K�L�
+f�?�O�*��O�'Q �
+�J�*�W�
a���X��lJ���	Wp]��
�i�
j�
��/0n����u��D[ 3� 	s�9k�
N�(�1���䧳���#%��šJ����uR/���Mt��T�qp0�I�*��M�=��PI��[
�n\���X�4�
��]Õ	�ܛ�Y$�,ۛFJ(�����^k�����j�3\��Aׂ7���2��M.���d���!E�5T6��z����l��q4u�(�qk�fq��
�jo*a[a栓滠sуN��:��k������ԴJ�9\�t�G����8
�5)�����I�=,��4x�r�����o
��d
+�(�6޳�6��Ŗ�Z.�6�f�f�z�?�xis
M�'i�*�À5�(�O�N�s�)q8+�BJE;��lp�*.-c�`өռ���b�3▾a�D�t{ڂ-��?��n�#
�ljL�Cx�`y���7��p`
ݧ��ı�����$���=gQ1�-�~�o�!8�b�c��L���T����{�-���!��x�|
�����:�e.Fv}�5��
+���u※�����O��[��\�N2I��L�=v���L_���+o��,[�L2�$Ѳ��S�Wg�Qg���WV,�y��?{t���
�����Bw�9
��H��
+��nl�G�e����j�1D�Xv�a�
}����>�
�-|D���LM�y:k�#-�Rhm#�ϴ��b$r�X(�t�
����Ty��7j)_<Y*�(c��$��*��"�{ �]
�8�!Y��ct�a�F��1s���hD=2�E�󮏁���)��>?�RzQl>�����i�T0[�
+���U[��a��]�f���$�b���T$Y���	|��*G�GE�f%�j
�h`��4�Ěl�S9fn�=Ea"�8� |A?`����R�،����]�V�
+t��	dn�%�Z]j��v�Vˢe�yqD�V���!�'��j����X�"���-�F�nB=P���ɬl�4A�s�n��d&U綀&2��
�4
l�A~�)�t���ڍ��(�rA��o�.�2F��s�1�}q���e�n�f����,|�T��R(`�a5\����(à�n�`����

�L��͝ŒwAIs��9�n����Hr6z����|�
X���!Ӭ�g��iv��������
+�HJ�d�|'&3
�#i�!3���3
�2��Q��E�[�|Aٝ5���-���jES�M0��ˢ��r̰ �B%�vW������i�0<�A�f
m���0���;2���w���S
+�
�^� %��
�l$=�0��*��#�&�q��|�2 z�gs{����&�
z O'K/�����#�?-i�<{��ht���S���7
��!8��M����*p�a,Rx�Mh*0f�:x�m�[4�RC[0���
.��jj�<v�C��n��n����Ƭ�
�c�:��q2
+S!�����J*R�I���D�rR���I�ȝ,=���N�v����5$q�ּ�hӣ���g��d=[��󙩑�ﭬ�1���-T��'���
�
���T
ɢ���%
�U�-QQ�B�s���*: �jn
�1U�
�zT�i�Ei^�c>K*H�����–��S����!a�Ž3ʱk�R���=W�<��
+D��z��
��Wd4e�e��Jr��w�CU�W�����L�'���"���/���ҖX���,ƹC�b�<�1�,d}�������
2y�e�JD�V'E��Wƾ?6�O�K�V�}��x
p�.et�ڛ�t6
+�H��An�+U��h�Jcȕ������*�{���,x]
z�Lv��
��_�n�c3�wb�d���#
/�{��y��ܯ@�4�"�x���
ҐM�K׳bU
��鮊y�;Uw���!�B9��q?�@�j�<�����ڧ�B�h�)
�(����Mcy��r��ɐw���*
������a�PO�%p[���G�
C�)�[J�5�:�f�4��Y
�,M���՛��}}{��ﰕ��%���=���S�z��N��f���Z ��fa���[��.�W8~�%�f-�5o����e��>��.^�����5zmed3��gV�t�]���\&os�jP)
��'x
+���簴��C.�bg�h_*
+�P��ss��
�yd

�}��G�Y��� ���Zh*��Ğ�ξ��)�	1�q�jP5;�2	pO��5��\�
+[��*0P�)�L�	m���N��R�&�\}�
+���R�S�ۮķ����w�
���m��/��0x)�� 	�\�
�
֡��G٣�l�L��I�3N(lgz�m�����Oy�s�nŅ���.��\G��-=ck�-
����s�L_�[��lrE��~�ᗧ���)L~?f%Z	�s?�<����<V�,���{^?ID��[�� ����kT7�TaF�Tb1�>����y�2/w��}d�c%
������ئa�?i����] |��4j �T-�"Oǎ/Q"�����z38��Ԩm3h��<!I���F��ڡ�er���W��yI�h�,�g���
�YKg7�+��i
S�p�J(��u��kKل֔
�<P��	Ȏ
�?�����~]r�V�fR�w>c��	�mt��
X�?���N��i(�8�w ږ-m{gn��"v��x??e�����S��6�f
�$$�zo����PT�<C�GGg��
���endstream
 endobj
-3480 0 obj <<
+3756 0 obj <<
 /Type /Page
-/Contents 3481 0 R
-/Resources 3479 0 R
+/Contents 3757 0 R
+/Resources 3755 0 R
 /MediaBox [0 0 612 792]
-/Parent 3478 0 R
+/Parent 3750 0 R
 >> endobj
-3482 0 obj <<
-/D [3480 0 R /XYZ 72 720 null]
+3758 0 obj <<
+/D [3756 0 R /XYZ 72 720 null]
 >> endobj
-2177 0 obj <<
-/D [3480 0 R /XYZ 42.735 722.491 null]
+3755 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R /F32 667 0 R /F35 663 0 R >>
+/ProcSet [ /PDF /Text ]
 >> endobj
-3483 0 obj <<
-/D [3480 0 R /XYZ 42.735 683.636 null]
+3761 0 obj <<
+/Length 475       
+/Filter /FlateDecode
+>>
+stream
+x�}SMo�0
��W;I@��Ӓ�]����j`��

�Ɍ��������9m�E��#������Z�D)Q:G�
�x������
ƍ
��-�
��5St֦�
���
�
d�:�肋�Y��l
�
+
��6�^
�'������?�1
��Z?1
h����m�U����������}���.(���x���Z_^+�g�Y������Xs�"�'
+o	WVX[įc
��9I�
�G���1
���oӘ3aB!����V��[�"w�
��X�w�A�$\�3d���]�鈗c�J�+����$���b�h�
�@�H\7F"�
v,�r��+�9Θߦ��}���8Лe��-��Ӟ.O}A�'�
�gS'H�%�m�[O�S~u�և�J��^�R�\����4�J�������&yX��{p7l����
����Ya
+{���B�—��'�uJ�]����� +�b��5�endstream
+endobj
+3760 0 obj <<
+/Type /Page
+/Contents 3761 0 R
+/Resources 3759 0 R
+/MediaBox [0 0 612 792]
+/Parent 3750 0 R
 >> endobj
-2321 0 obj <<
-/D [3480 0 R /XYZ 42.735 644.782 null]
+3762 0 obj <<
+/D [3760 0 R /XYZ 72 720 null]
 >> endobj
-3479 0 obj <<
-/Font << /F26 548 0 R /F76 747 0 R >>
+3759 0 obj <<
+/Font << /F29 544 0 R /F142 743 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-3484 0 obj <<
+3763 0 obj <<
 /Type /Encoding
 /Differences [ 0 /minus/periodcentered/multiply/asteriskmath/divide/diamondmath/plusminus/minusplus/circleplus/circleminus/circlemultiply/circledivide/circledot/circlecopyrt/openbullet/bullet/equivasymptotic/equivalence/reflexsubset/reflexsuperset/lessequal/greaterequal/precedesequal/followsequal/similar/approxequal/propersubset/propersuperset/lessmuch/greatermuch/precedes/follows/arrowleft/arrowright/arrowup/arrowdown/arrowboth/arrownortheast/arrowsoutheast/similarequal/arrowdblleft/arr [...]
 >> endobj
-2158 0 obj <<
+2209 0 obj <<
 /Length1 767
 /Length2 603
 /Length3 532
@@ -22360,41 +53356,129 @@ stream
 x�SU
�uL�OJu��+�5�3�Rp�
�4S0�3�RUu.JM,���sI,I�R0��4Tp,MW04U00�22�26�RUp�/�,�L�(Q�p�)2Wp�M-�LN�S�M,�H����������ZR������Q��Z�ZT����eh����\������ǥr�g^Z��9D8�� &U�ZT
t��Б�
 @'����T*���q����J���B7ܭ4'�/1d<(�0�s3s*�
 �s
JKR�|�SR��Е��B�曚�Y��.�Y����옗����kh�g`l
-��,vˬHM	�,I�PHK�)N��楠;z`��G�E��hCb,���WRY��`�P
�"��0*ʬP�6�300*B+�.׼���̼t#S3�Ģ��J.�QF��
+��,vˬHM	�,I�PHK�)N��楠;z`��yz��hCb,���WRY��`�P
�"��0*ʬP�6�300*B+�.׼���̼t#S3�Ģ��J.�QF��
 Ն
 �y)�
 �@���� �( C�V!-��
�&
 �E�@���0���_Q�k��k	Tihld�`naV��.4/��4��E���������Ң�Լp�����	
��Ԋ�d����[��ok[Y���*V}Ο'־��~ bG��̔�`�y���%K^-|���x�E	�d��E[${�z�,^��k���	
���n�W6wM�������pa،9�����=�թ�s�r�	�y)/����~���V�$-%)�+��2��W�}~���"g����b����1����u�ts���.
�۽NY*!v_���N���U��)�o��!}�_>
s��0M,?�2��Y	���K⃤|
��ە��6���1�N����I��̓W��Zr1�V<1��}YÐ
��/
��o6n}�D �߸�g��l>?`�;�_����
����yq���(�J���W=OnhR�l����ҧ.g�Jw��+*S�(z�o(����
?��av��|�Yy�f����\Ⱥ#E��cu�Ԧ���v�٬+��>H�\�|����t��l��ϰ"�a�����&l�s����}�뺿q|�rl��N-��1/�N�E�Q�����^�b��O�GU��E
��z��A��ԩ���n�|gxj�U�T�G15�d�/4e<)z��{cj�������{\���ow��-|oRWi��V�m��ܚO擴�ݣ�M����8��9���h�
 ������2�Y��gJ�ZuG
-ר�€��Ģ���Ģl. �{��endstream
+ר�€��Ģ���Ģl. 6�aendstream
 endobj
-2159 0 obj <<
+2210 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3484 0 R
+/Encoding 3763 0 R
 /FirstChar 48
 /LastChar 48
-/Widths 3485 0 R
-/BaseFont /ZVYESD+CMSY6
-/FontDescriptor 2157 0 R
+/Widths 3764 0 R
+/BaseFont /VIHGQD+CMSY6
+/FontDescriptor 2208 0 R
 >> endobj
-2157 0 obj <<
+2208 0 obj <<
 /Ascent 750
 /CapHeight 683
 /Descent -194
-/FontName /ZVYESD+CMSY6
+/FontName /VIHGQD+CMSY6
 /ItalicAngle -14
 /StemV 93
 /XHeight 431
 /FontBBox [-4 -948 1329 786]
 /Flags 4
 /CharSet (/prime)
-/FontFile 2158 0 R
+/FontFile 2209 0 R
 >> endobj
-3485 0 obj
+3764 0 obj
 [366 ]
 endobj
-1703 0 obj <<
+3765 0 obj <<
+/Type /Encoding
+/Differences [ 0 /Gamma/Delta/Theta/Lambda/Xi/Pi/Sigma/Upsilon/Phi/Psi/Omega/arrowup/arrowdown/quotesingle/exclamdown/questiondown/dotlessi/dotlessj/grave/acute/caron/breve/macron/ring/cedilla/germandbls/ae/oe/oslash/AE/OE/Oslash/visiblespace/exclam/quotedbl/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/ [...]
+>> endobj
+1941 0 obj <<
+/Length1 1891
+/Length2 11595
+/Length3 532
+/Length 12665     
+/Filter /FlateDecode
+>>
+stream
+x��UX
ͺ��C H�������]0pw� �=���]������{|s�5�^����������빻��
+e53����+
#
/@LAM^]����ȌHA!�
�Z9؋]A� 

����<������ΆHsp�r���tP������9[��
+ at WK�
xS�-@���
+�������s�
@�rv�1"�� ̬L]& 
+{D��d��
 \�.��9���;��,�K� ��f��^ 3�9"��8
6��C�N.�fk���g��Z���hge��_=v�n� g�������j���� 2�r����2�@[+S{
[�������e+I+O������%���
�2���z�W�_L:Z2"
+jt�y��VZٻ�{9� �o��b�7/���'@���������
�G�������=xgpp���@/D���`eo��<��L����K ���;8#��\��LNn� 3�F�]�0�9����Sbg09�A�� s׷*�U����Sf�m�\�
+�S;;�[��d��h	�+�S
������`r��X�U�L� g�����
�� ��z��s�]-�Au���
����kn��WX����xm�@��=r�������
m
�.��؂\ޖ��rr��4'���7
��	Ny#p���S��
)�F���q��%��,�F��y#�Ñ}#p���������F�t�7�+������o�K�7���8]����oN�|#p���ӵ�����8Lo[��i�F�N��
3X��/��	���l��ln���-�B���_���
�N6!X��/[ٽ!��`��
�V!���/[9��`+�����\�B���_�r�
�V
o��0y��`+��l�����.�VV�V�f�^���u��a �����~=�������Ӱ�rrɈ��lffn����n��S��_�'���ln>�A O�)�✃)_�uJcX��D�d),u>�:�@M�RT(
�
���Ұ�2Ѥ4:�
+�����=���t�9bT��C48���k<�r*i`B��ғ�G���w
Jȝp��aL��9pz��z$
+q��;�
�K���Ys��+��=�KǻǠ\���AońQ��G~x�ڛ���B%b�� ��y�
䯻%Br
�˽k�K�_a���S����i�+��~PQW��%7�F>\���.kkA�j�Om�
+��*���
��Ͱ�
�j��`tԐk�[ߗ��>m���y�i1�;!��f�FmT�|������F�{�"��<�|)fO~cx8c[c�}Œ
_�X
+��� �x_~i��ԛ>���^�5SGՇ
2�k���:�р9�Z��+��+���;Nn�գ�a�׾˲�m��kt�%���`�U���#����Ƶ�V.GQ��1h�b�C_�짃A#���"1��	�����K.�"D���1��pq�
{h>��1��j�It�щvnz��D��6������^BRT��
tJx�L,S�����	��l
iE+��N|�w�Pu�s�v�˅#���c�-
d|� }aS+Y'�
^Ϟ��V.�e�\��cݍ%�7�|� ָi;Ԕ��!��Z۬V�S������)��뒅b�;}RZ��$q
����|Lm��!e�.�">��߰�R�aߠ
�B�n(�Ǜ>�1���5D�Z�w2B=,�̖�,ٱΗg�Kή�m'�K��B�C�qR��

ɼZ$
�9^	}|��|b�EW����X�D�%x��5�(Y��wV��C���R�&�!�K���큋�&�SwV������;2b}�{K��S�%��2
�i1�6/��w�~��ɴ�i�Y6��S�j��oG�A� UΆ� �J�Sb^�<�]���ʭ�?Z�?����X�N��_�<A$�*c�G�����[�
�����Z~�IЎ�ϙ$
��O
+�j���}��jv�cc�����F��
5�z����t?!
+��
�
+t�*�_�Wx�zh>x)��5$���g����؍�0�5F&�M�FsJ��<h
+pE�'�M��i(�.��S#g��^��g���4�Ν=������m;�Gkq,|3��u�
B��w�=����9�ó��_�j�Ѝ���[���	��g��%��\�9�Y��;_�9�]��#7�
a��;\S���u����`n�o����-��;��=�^=��˰�]q4^36�.�5��Cb��C��7�C
.V.?/9�}M��9��Y��؀h�}O�|.�o�ȥ�ф*��V�J�1��A�()I���uiή�I���g6��3���??��
�\���OO�a���v+���G99
�Z!m���4�v��S�=L������v����7?a�>�,�8~���U�e������_�U�|9dm�GΆB�Fgd�k�(�9\�f�G���j^��ϟ,�d2���׶��zr��VM�"*�KDg�=C���?��7@�Q�9�-���2QS<�~�{����X����ȿ�
�=���m�d�02��*X����
i����ny��G�
���u���:�bc���w=r��RZ��#���7\���?���l��M��$Ry����$Nj�(
�
+�~Z��pJ���}�x�(�(~7�o�{_Cݲv�EU�V̒������ϓ[�&�p��M{4���>�u�sf�+�@ku�F34ӭl��jZ�(A%����8��C,t����\3}��@P�Hz��o�h
9?+M�FB!�;�d5%
�]޾Q�*M&�OcZ��K1=M
6g�ek�.�y�z�^
��#쉀8t
�=E���Yhs�|7��h�G-�I��bn��zbr��C��� ��/C�S��ꑍR�uzy��F������$�,�t@���
����ю4tܣN�Ew��T
�o�jw��
+/vᦢ	+�\>"@�ܞ��ʅ�oGZa�.z:&	�|��E;��$e(#wz�y^O|��&
����^���%��`)
�~>b��/7Չ�^T���i�=�����>!�L.~I���o}B��wb�B�.ڨlڒt��'� v��(`ѧ�I�'H��rq��U�p�H���
i�Lw7��1�iJϑ�ͥ����V
[!
�G$qf���Xg�����_sPh�+�����\ʼ�B�y{

׍З$/��+'�'��k)���h�!J����?9�)���s�8����%$�\|z^l�Na߼�
د�˛�y��p��Z&��:6F�çxo�H�S�
�mM��UP=�͹�\M��������k�흣1�z�)��}�4�3�V\��:�ec0� N1C�>��;���@*�.��~��1��Zb́r�na]��)�@�v�yK��oO�t�'�_Vt������t�""�[I4�]�D��	��o����=Ɖr	=#���

/F.�� '�dr��ܬ�dqu�g\��sU����]
+��
+���p(��?<g~��ƺ5T��mk����b�C�RȊ_�!= �Ơ�J��K�E���l�/
6�1q
|���������L�!��;
c\�O�k!�s�05���siH���9��t�6���)Cʭ\ C�zvt?�N�`�<6ȉa��I
8��L��'�
��ax(�
�86�@("�s�B0yѢ����IL�
f��̧��Fk�Mщ��H��{�k�O[8,ܷx�e�<�2�
+{���(�|����_&�@ۆ;x�e���GѭX��(�p�����K
+,7
)�]
ՠؼF�vn4ё�9����4˃]u
����U�P�[�&pF�a�9��{�0��~_����fs
+�u$�9��V�'f��	�S��i�����a�֖�|�vc�X���m$���Y�LDa1o�
e��f�}��9t
��TĴBapb3��P� �Y��ݯ#a� j�T�I�����u������^�sf��l���d�ݕ&���l�9��0"�}��39��0�8I��
��(� r�3����
��Ϟ>"�g
�P�r����7�Z2r��{��
�JX�c^:�VD�vE�e��/��
�������0��邿G��ee	6��N�uq�#e��|�x ܷ:0��18ֵ���Ȓڕ���~��=�h'��;y9}uc�*�8�,k �Fnp
�2����>0'�6���'5ή<�r.�������0�7���wM �`F��{��9 p��PV��&XF̎5:�ԑ��0�&�Kb��5�̩�	om|@���;�T��?�8[�� F�%�!�L�2��ŏgoBJg.
�����-&���b��Z�q�}1^�0NBs�O��"�u)�!��r��U�>��;�\�p�F"R�Q�с���}A��+��T����MJ�IީU;峄�
��u��|9��l�#�F���(�ۧ�r
 GP��-~���%�cL2��醋�yzӕ-���M�,I䉨��u���c��n]�T�	)<}������nw1i��.@�_,ɫn�ɀ�TǍ��Y,1#��g�u3Տ
�������u�I�t�ܴ
P�x���9�3
��_�r�
���Pku�..O��{�R��3�U���I���
]7����N

+��fq
	�]R�4v�j�BI�� ^A(�Enk��Mbح�L������F��uq�ʥ�l'�(�,{E
�:ONxA5�Ss���<��F�?Փ�8�9A�
׀�OR�sc<�K	�����i�u��BA�����/���/T��D�U_^>�+
+�H��
#�IX����v����o�0��{
čhw�9�Kز-m!U%��<�$m���wI�a�C
��-3���s��
+
H��

T�&�?�˻�3 ����6�e/������$��%�|�~�S��6Z��2��o��k"�n��-
D�n�	r&EJ�oS�h�����rl�
��"
F�f8�&/�$V�q����
a��%�2�g�Lၯx;5�m߇|8%�]�i��
`v)��)�&eJ���R�n1S!%un���m2�iBP���1P�[���m�W�$Gvb<c�1n�ؖ@��$4�2�}W at v�mDD�����꒵u|���O*y��t�c(�-�OM�L�T �Җ��
|6�q��G*�s^�n�L[�a�B�^o�z�%%�I�-��[�b!�42�1��]�t�p�4V՗
�J}�F��4�G(�V*��)%�v�Nװ�`7�k#�]
�s�^X?�s��*��E1ڠ^�֗��
+��{0�DNYh]|��H��ml��M�un���/�;^��H���
o�Dݖ�$������W��X������c��4��
4��{,U�rg��7���+���1�J�|
KJA��F���ѩ�Cf�-C�c���R~�Fh��~V�(��-[�#fE��{�s��V�ใ�Y�$"�Y�
5�U;K�>c]� �T�W�G�Ǖ�ܔy	g0w�28}
+�����Tь ��n*���|���=��%L�;���u}�;c�b�'ˍ���8�v�g���{m�8���[dcꯙ�M!�XHZ0�0Դ�V,g+��Z��0)2�4͙?9uf�˴���!�����N�*���
k�7�l�C��|ǛvZ����qP� �3o�����I�Ǻ�
_8�o�%����`Th�opII�~F{?���ȱo�N�JYL����1M��M�����ZDs�U��Y�p—�%�vsr��
CG�_�b�e������5��RN���Igu)#��
+�y�
+�?R��p��6~(&ڹ��D�)�
J%�
�Wo��/\ی%\��nxp��چ�k�1�ap�И0��[bS�
+�1ϻc�5�Bܩ瑑[F��N� X�d�j+�{�p�d2��g #�
�
�Z~�W�˩����b
~ ��{�P"��1�#
�:��Q����cq�I��Y���\��R;ci=\
8a��"�?��Y�{���뀑���Ɖ��D�a�%.�����zy8.WŎ�Ǔ^��twe b_PH
Oh��j��o��o^'�Y���\_�:p=	]��+1=�<�t��0���U�|CF[
������*q7�s�_�&�G�!���(��\j�k�4�g�Ic��RN?x����Z����[Ā'���}@Յ�d�â��q�},Y�g��v�f��
�	?T�\ʽ8�F�3�1?h��Hʛ��0SS��_�a*�l]B
N��pS3��?���j|
}*�K������ �y����c� 
\H�����Qby]"[����{2���}C��*��Bt)��UM�3�؆&�8�Z<(��C�H,��l�����]���D�����Z!G�"6 �GJ�F�;�p�:�
_	i�	�D�gnIU4R&?��fCkl��)��3)I���$�-�k�.�hU��G�bDNV�P���Z�B�
��U#���� mĶa�a��(�MqLqg��
�M�U�G�O�
xL
_
�l�b�3f�d�ʆq��bKf�VMI�EHշ��s?����w�1�S�O3
�
+�1l.J�4�O�?��htr
��3�F�ek5�����ZCg��9;��2��$���z"`�o
j��f���سRU��3��ߵr�҉/,��o�l���+o_��q\�����Y{r�AaC�]�kc�s�3c0�?�OEꮯ@Tn�tT�cʂ�9�09�R��BV��I�a��4$�B9��U
��^O8��zlF��4��� ?`��+��^�����0����HR��ptҙ�W��Sd��:��������ld!	W�,�E�l�
��N�D��-A��ꒀ�S�$�(���߱F�iܺ�ܱ=i^b�)Y6Q'� �K�
YH
�
9>{��
X����~�ɟ��8�گ�Uq�N�sS�_��$TD��!��W�$CK������ʈ0�1B�\i�ڔQ�uꜛ��NO>P���T�s͚COp8���s�����,,ɓ.�¡��Z���^��P�aϜVuQ��
���j� 
�b�4s4�k�>�%�Ѵ�੯gL�l}.�$�p5n���Y:����x��K0��E�']k��쯗��PJ_ĈX�߇(lTy�|�{��v-h�
#�}�qc���-�߲�]��槁�s��ѐ���s�m�.t>l˯��l�����C[�T�#8�1��cWJ����8���ԛ�*�R�6��$CB�?���ٳ��(��*���VA�C?~@�6�W�����d�G�935���zӐcv��f�#�&���q�$9�9(zp�)��\6Kƥ��'�� $�/��
���
~~L�c�J�����5�m= ���LO�Y���K�P��tL'��	3W^�0�/�F��Z]��K���O�י*����OB��	�c��l�Ӧ��)�� [...]
5!�!���ݭ �����!�ܡK*�Tg
+X��ṷ�
j�j�7��H	�R���P
������3	r����k�n�F
�x�QN.zި$y^�0��C���D"��_�?�+�m=�X���Ó�:#W��xJ4u`�!�Pe_?����WT(�ׯd�mapJq�e�2-����
`��sK�yΐ��OpY�%u�� �
WAlƒ�!�w��0e\�tG�
:�/!�Kj�1�L=
en
'�� �����p�)+-��,���,��!��
��T�ey�`yi���ќ�K��	��OJ*vȳBUo�XP�J�wv�]�ʰ�
>B��
�rʖ�o����n
����d�0x�~�Ճ�۟��}�6�+��qI5.)�o���|ѨO��-�zK}��/)�@�c��Om��0��e/�c������R�8����n��񽷼0��
'���__�؞z�,b%jx����smÜ�A��d�d��6C�&�P��4���b�Ȳ�O����$LZD�1"�!�~��XY� /�"�9�6�^Yڜ�����
@נ5~䛦W�c-m��s�Bo�&ܟm��A�3Ǿ��^��8��
��"p�9�dB<̣S
+�����a�Nc~.�R�SǗ��-��\`hVu��0�?������x[
��
Kk�uh�V������VH�RYW���4���X�?Zڃ6�Q�R4��:�enwbK�i�����j��j���»5��W8���;j
���E^x�j�ҏ�����?�w����P���4�$�b4���x9E@�XS�p�I>�[K�7VC?�'Ů�0�ʝ(���z��u�r
��>,�"
��JZ������7p?�+	je�F3U�b�FK0����c������
�1�UWq+!��]{�s<Ru�]�M/gBHǒ�|�N)���b���"���o=伬��D#4u��`
W0�^�-��Z�F�#Ҏzm��Jf,^`��wQH|�
����I�.����P\!9b�`~ ��������FIR�
���m�ΏSİ�#?ŎJ�‹V��E_��9-�h�[^h�Ϯ��G}��Etn�������,�%�4oO�ԜE��̖y�b}�%IO�Ak�p����Q�Y��x9�v��:�
+�&�y���~�{Ҁ�ۜ�%|w
��Մi5$)8����!]�HC���o^¬�
�}�=���]0F]ȆU8Tyw�"�򣘡l�x�,�%{7�6k(?�
U��xTր�^1g^�Q{������ל[|F��^����
�N9�����0�
����
w��F�?��SGS@��r�ov�y��� ���I��م��p٭��ӭ7e}�d��b
�|�)@�f�|W���9c 9�G�ȰH��YS+X�;U8ԡ��
�w*G�K��䈱�@=?3���PF�E���W<�⋐�$�
R22[u^k��7���� `#�/$��M^�$�K8�v
����
xd���ޛ�Uv�ьz'������M-Ȃ

8a�­��1��	/��	4�����
C�S�q
���G_\B��ޅ���+��:��s��_�Z�A
�`ڟw��X[⤅��CƸ�؟����:�v��,u�}�Sѝ�"J)���?��x-
��S��rǗ�
X+�T('8]�K^�hG�sf�ܡc�|�
1PiU��
�a��tc�ijVoh��d�T0�Lu(0O@�ZҍP wR� C����x�G���U��6��S���oh!p���;�tЎ�� n�v
�c#��m�\rTxUB6>O1n��!|U8F{
�2�yw�����7��NX���
�t:���
V �I����OG�ϴYq4�@U����߻�žl�~�d㽓�z#�i���^_���SftcO
��k��VY8%��%��|%2"�=�R����]G��"�G-CM��1~�Mj���F��%uܽ
�i�h�����!�i3{s�'Ӏ�cG_��F~�ӹ�s��%b
/�f�F
zγB�B%��_&���o�ֹї�3n�YkXN
d�������g�D��B�
]ꯒV4
rXc���"�3��F�o�N61չ�8�8��]>G���eW�Rh�M6�������r���c/��7�m�����)��بx��+w`<���WeԶ��07�
X��U��H@���L��Zd�N����y@�~���3���J<b��cb�P�m(?2��>�i��f,��}<���G�[���
 �
+
00^
�m(b�_�c��b��/q񼎼�5��̎��S��eP�{���
	�b���0us#�.!\�����q9}�|>NSA	処x�⥔V�{�N
�>�ͬ�q��Y����p�~�I�t���b>�;#�|�ֺw)ô1�1���J7NJ�RK�ˁ�l_���Aҝ�JЩb
f
-pE�/8GV+�����Xڳ�@�Rj�׭b�%�	����~*FvJi�͕�C�(a������׹!;*����y�鰾�Q(IT�"��(���ً��P
L]5�Np�$9O/@��
+[���G
+n
�Qs�6�٫�
���'�0�BuLj�5-��+�딧������b\}��Be(�
��1X���r!���O{��l��#$tgGD\
�1�����9OˋP:_E1�j{>��]�y�w�xgA�QD4+�e�����=K8Wo�����'�[��aLqFJ��~R
�*��
+4�
+�E�#M��d
�rg ����
+6
�v�(gp��)i��/�)L\Z��
�~�t�|�{'��52�ی����ҋ��*΍��:�me�_�ҍ�Y��3�3w$�
h?��U���T�iB����bQu�Tթ�1\�"I�do
+
�|�L g�I������8���N��2d�HNa-JS�ƾ��
�q}`�P
v�����G'$��^@j�{��sH�����ܦri���
IL�Y9�y�_qQo:��d=��j]R���7�ۄ֭�ό1P�z[�f����%��DZ�J��
0�i��2v�a��~���X�f����
͔�8�>����cn�ct�ӇK��Ȯ���|
����Ƒ�+�M~
)�xj�w�E���Q�9M�tY�*�����0�S��
+H.N,j	ԫrH�y�o./�32R��}'���0��`j��V����Z�+�K��d��a7�Q��V'�� �^!�5����`����O����w����_wl6ج��
���nu�6)u���fDѠv��297}�	��,�����˘��
+���ġ�V�r��o*�7U/L�ݔyB����Uz�0���{�\�Sm��/�m�c�U��V��?�$,	�Ɣ��!�j��P��h�&H��=?{'��_�A|'�0Nm��p�)
�$��z�S]�-��n�l.� Ƹ�&��[&x�H�փW�;�� V�U�
+D齴сz at +�����)�]D.=���cd��c �d�
����?-$=�
kD :'�}�m�$���U:u6��)AIݫ�h���K�����g�����������~ה��U��#��D���"�y�i�s���#�LCEw�d���ŗ'�_�
S��y\s�
#@�����-G?^��3�y���Xp��0o�L��w�%�Ȑ�ã�2z at 0�;]�Q�ul��HR���V�'}���4�Ca�LeT�L�.��
b�(���-P��e[<�6�@g��f���G�����;���*��Y�'/��ݲ#>D(O��w��8A��9�E��E���:+�5C�ا�XVV�t"�#7x�<`*�M�R����
�c�xh��P�
9c)�꽫ϝ
+
�� $^�~L��[@�T�tq,N�t�0�3�ؾ�;?�
�iL��/ڧ�*�dȰڙ�,����i����ٖ�L
+MmYcNC5����k
#P�C"�s���8��$H���X��}.
Î
ˈZ\�~k�25�e��u/+٫M s�ܕVER�i9vV<v�G��'���~�)��uڈG������a�
�84Ӿ?�
��k�
r�9�t��
+iR8�y
��<�a��pX)�'��D�ub�?�(�
�S�v���6��j�h��Y����T0�E�F�sGh? a�G~W�{���؃^�‚0!���ٚw|n����:�(�a�–X?�ز�D�
+5��Ֆ�0���P�����*�Zn�,�Nl��`��@6�}�K�.+�:�Mw�Ǥ�j�i�E�X��l��@���j. �4����X
\&E)��},��s���!�t��/(��� �k�.I�y)�l�M��$�)�b}ts��/{;����ɇ���g��
Ɋplt���b������|1AS*{<�%L_�����
L+�n���WP#��y��=�P}�� ��a �D��3�U �������2"�ci��}۽Np*���
�SX��?���Z�Ey�~ҫ����C|�/^X'�Y,��
'u$)��
������V��Xy�+yzjm���z�pW����v��
����F�HY؜6_�����/		E�B�?�u&k�NUM�ԎJ�j�k$�C2_<�\����
��N�j_� �߆zE�H\�&�:e��y���as(��7=G��.k��'&�诺�� 1ς̣�F/y�{�=~�䏵/����|3U��������n��P�&���zN(�Fo
t [...]
a!�Ws>���.m#f��͇h���
��&���b��o�׋�*m�{K���W�U���,&7�Hhcd8���3�Ȁ4��8�|���x��N�_��\�
=�$c��g6ץ;��&L��!�R=�m�U5BR�d5j�h����s��u��
+�vSis�
_Bڸ����7Us®{^|a����]��DMo��ѳs];���1?�5Fy��_�+�Z�S�6تӡm�sS�󮋤���
��o��,�~�[j�Oˌ�Ɔ%�h��#��H4�|�����5�%};�Á��[�֌Fr��~H{��k�;��U���K����Sh?��.i����Tm�wS�T��(��/W�L�#߳��v (x���^:�1�����!C��C� O7���d�E{ciN�u��-A��#/�G(�ZqM
+O�5)c�jF-ݞ��j�;�<k�R��
+=x�t�B��#.t���iڅ�v�C\�rt^�:�������
f�?oqTS��O����4@,Zw�ͬ၆��C9ә�X�J-4�B�!Z�0
z���{gK��x�E�B�J���Y�ִ��~Yt�
#�k�>�#ח)L���V+���HH�Si�3���5�����7���ڂ�ήv at g���:f^endstream
+endobj
+1942 0 obj <<
+/Type /Font
+/Subtype /Type1
+/Encoding 3765 0 R
+/FirstChar 34
+/LastChar 126
+/Widths 3766 0 R
+/BaseFont /YWIAMS+CMSLTT10
+/FontDescriptor 1940 0 R
+>> endobj
+1940 0 obj <<
+/Ascent 611
+/CapHeight 611
+/Descent -222
+/FontName /YWIAMS+CMSLTT10
+/ItalicAngle -9
+/StemV 69
+/XHeight 431
+/FontBBox [-20 -233 617 696]
+/Flags 4
+/CharSet (/quotedbl/dollar/parenleft/parenright/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/seven/eight/nine/colon/less/equal/greater/A/B/C/D/E/F/G/I/J/K/L/M/N/O/P/R/S/T/U/V/W/X/Y/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/asciitilde)
+/FontFile 1941 0 R
+>> endobj
+3766 0 obj
+[525 0 525 0 0 0 525 525 0 525 525 525 525 525 525 525 525 525 525 525 0 525 525 525 525 0 525 525 525 0 0 525 525 525 525 525 525 525 0 525 525 525 525 525 525 525 525 0 525 525 525 525 525 525 525 525 0 0 0 0 0 0 0 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 0 0 0 525 ]
+endobj
+1694 0 obj <<
 /Length1 830
 /Length2 1042
 /Length3 532
@@ -22402,97 +53486,99 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��RmTgV��X�ՕZ����B2	�B�]��`B��b�C�&Lf�dB��ZX�[���4"r�JW�#����+�W@�Gۍ;��=K��_=��3���>�s�\��\�"�����P$
�RE��~��pD$D)��P
-F$*J � !@�h�-�8@�RZ���ل�
#0C4b
�@6
(-qzHbJ��C=ëDu at A(1H�a
��0�$��R P4+&�/= N�)�
F���̃�0� ��@6�`8�;;�W@8�V�
�Ky�42Á@f� ���"p
�W��2������b�N'C�
���TG����G$�t�\��-I�
-3�V%�Ôq�Fo>��X>T�1J�jTg�sy��J3�榾��$����
�ré-���Y�\��;f�Bb� ���!
�y��X ��+	�k ?"�$��,
Cŏ� ���*�`>���
&��92�5�����E)3���l���Q���ݡ
_h8�9jA�����'0�rMP� "x$�5�\Vi"I�Ss7ì�y�Ƙ�B������������%��N�/�ל��}�����,��.�5]M�
�ݖ6�l]�|�u|��{��΂�^?(έ�r��e�[w�c�=�J��Z&V�?3�h2bq���^{���+�뙨�&lq�忨;=�t��Ha�تK-+m� �O�ɵ�
^6j���Z:�GKQN�GGȗ�D�i����{Ό�
W��}��nX�Z5��_�'
-�rK�z�摠y�s�_��l+2�8Z)<�r�ҿb���=��Ӌ/��.����ߜ/8�#F+i>N��t�
�
��o�,�]�J�D>bs6+d�Ho�/���ߞ
�z�Y\����\��L򛿊|O��xM�z�_�&�y��
�/U�}���ծw���q�g9iiM�Cn��
u� ؾ5��q#V����Ix6�9\K�n���nS���^��

t���+]y�es��7ZgԺ�_��
��t�����)z�j�C�q��_���d
�b��u�2u�/bf�m��}�ܞ.�Nm����OJrm�}��H����=y�V(y��"Z��ߺ��Ⱥ7����rO�g���4��X�6�|���Ԩ{���Ն���Aȍ
3-�]���׎kk�R��
_af�v�p̿��v,���D{E������j�#E��>g��H�I�-�P��M-}��N�v})��w>q�
:��tľ\ ���Bb�

:�}Wr�T��pZY�9�z���g�>}q�iur�%g����]�Z]���$O?Ւ��.���G_��'�8�Ż��UY*
����ǾP���>i^1�78���fZ������.�=��F��e�� ��e~!f+�Q5v�_
�!���\+���*�{j����zcbٛQ����!y�o�� �r�J:uy�.��~�
k녞~��ڑ��=_�<��ջ7���
-�+\%G����˭�ʵ��ooO��~4��.��o���Oz+���
��?���Z��ܛ9�}�z�-�W�'̣;��:OT�*���3�2N
ks� �d�SL�צg�,[����6�i�uI��6�Ϗ�9�G��
�L��2G�<<P��S!��{�������~&�I(u%)B��;Y��|lXendstream
+x��RmTgV��X�ՕZ���G!�H��.R��A(x`H�$��L�L��R
��b��1�FDΡ�Xi?�9�((�Ů�K\]�=l7� ��Y�c����̟��>�y�{�r|e��%�
�N#!H$��c��C�#"!Ja
�R0  �z��D"�H���R�� 9��&�@���	�(�S�P	�i at i ��AS��

�^�rB�A�axD��&1�����Y1��1Z-H��0�$h�d
T��(1���Y���$�� ���ҨVʃ���3� fT%�kiƸ��M -�8�%L-$��T���o�'uT�i�yD�Q
Ʌ�mpޒ*1�naUB�ZL�����S�A��C�
��B�8���r�4��9anZ��ů��
�2é���_����w�l���A:/��C �>�ھ@,
WJ
W~X8 at I�Y<��v! Õ0�|�17'(��T!sd$k�7F�W�R&L	��
+맣�������P>sԂP��+�O`2���$��Hī����H���n�YӳX�1K�0*X#7�k%9��c+���
w\
�>S��Q��,3��X�tesn୶ԙf˪�����L?�
ow����~qne͐c</kܲ�,;��EJ�Y���<�������a�n�ڪ�.���g�^���������S݇J
�b�6���m��7ɳ&��Vh٨ɳ�j���梜2������N�����w
�:����1Gհ��j�q�S��G��9�r�CA������d�q�4\x�颹�ұ
��7
�_Z�]mY��99Vpd{�F�|�X��V���g��{
�P��q�l��h�'�%=��r��}"���g1ٶFdrr���2�o�"
�>n��5](������׾P9D�]��[�ޱS����m�夹5�6��v��]�{J��F�0�݅�t8s���H-_ئڱ�����j�45sG��苦��4��u���
\.J^�ãÞS�pՔ�zcʭW���3�EQ
ܺ�U��/�f�m�ֽ�.O�i��TH�u'$���>ϣ��-��5q�f0y��Z��ۺ��Ⱥw'돡�2w�{������K�,u��x�[jԇ�e�f��J÷�� �F����Ю�S�k�55h��뺷0�?�*
�mz���
�ty�>�^�=��+n��P�7��Y�$\y�`M>X~uSK������_�"�
�]e��A�{�
�/���7���7�Nya?�
�.��*>�Z{�w��z"z�ٖO��iZ��r�`|��߼�8W��36��O��ƫ
+�|����y��k����m�,�
�U�Y���_*���w�0�����ʫ3-�kxb�t'ϞLm#����VG���?��l�;�/���ݿ�Z�s��
�ݍ�q56~رU�Qѿ�ͨ�{y�l�w�X/�p��|��@] �}�W���=�.q�#����?~��7�wOb�'��;K�<m7�[&��k6H_KkO��z$��N����l���{+���
��>�y嚧<\�9����z�ͥ-���&L���$t
�,�w)���e�:֖dA��<R'��M�4�S����4~�ز$pSu��O�F|
���[�E�u!�#���B�������S
�g>���O(�%)B��;X� 
+�l`endstream
 endobj
-1704 0 obj <<
+1695 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3486 0 R
+/Encoding 3767 0 R
 /FirstChar 92
 /LastChar 92
-/Widths 3487 0 R
-/BaseFont /UGUKCN+MSBM10
-/FontDescriptor 1702 0 R
+/Widths 3768 0 R
+/BaseFont /YVJOFG+MSBM10
+/FontDescriptor 1693 0 R
 >> endobj
-1702 0 obj <<
+1693 0 obj <<
 /Ascent 464
 /CapHeight 689
 /Descent 0
-/FontName /UGUKCN+MSBM10
+/FontName /YVJOFG+MSBM10
 /ItalicAngle 0
 /StemV 40
 /XHeight 463
 /FontBBox [-55 -420 2343 920]
 /Flags 4
 /CharSet (/hatwider)
-/FontFile 1703 0 R
+/FontFile 1694 0 R
 >> endobj
-3487 0 obj
+3768 0 obj
 [2333 ]
 endobj
-3486 0 obj <<
+3767 0 obj <<
 /Type /Encoding
 /Differences [ 0 /.notdef 92/hatwider 93/.notdef]
 >> endobj
-3488 0 obj <<
+3769 0 obj <<
 /Type /Encoding
 /Differences [ 0 /Gamma/Delta/Theta/Lambda/Xi/Pi/Sigma/Upsilon/Phi/Psi/Omega/alpha/beta/gamma/delta/epsilon1/zeta/eta/theta/iota/kappa/lambda/mu/nu/xi/pi/rho/sigma/tau/upsilon/phi/chi/psi/omega/epsilon/theta1/pi1/rho1/sigma1/phi1/arrowlefttophalf/arrowleftbothalf/arrowrighttophalf/arrowrightbothalf/arrowhookleft/arrowhookright/triangleright/triangleleft/zerooldstyle/oneoldstyle/twooldstyle/threeoldstyle/fouroldstyle/fiveoldstyle/sixoldstyle/sevenoldstyle/eightoldstyle/nineoldstyle/period [...]
 >> endobj
-1494 0 obj <<
+1489 0 obj <<
 /Length1 771
 /Length2 1149
 /Length3 532
-/Length 1717      
+/Length 1715      
 /Filter /FlateDecode
 >>
 stream
-x��RkTSW�
-�^�K�q��)�!$����"�{�\I�M/7�
�*�P-uj0��W}�P���K����dFA�
-�T�<J��uu
�9�kV��s����>�
�}x��JnƂH�v�p�  �C8l`X���@a���
-�Ƅ�#��U*9�6_�s���J
�Ke4p
`N���O�Q�! ��2La�#rI�q�ָ ?�
DL�HX"F%a�
�� �`3&�	�5�)�����FUʷ�$�J4��S6��`%	���b�&
�a/�
[�ŃTr�jD1)?�ԟ���k~g�
-���( �(Fө��s0��*��n��q�!�c�����v{��A�C�qZ,D��M��Nwb�o�+**:&h���O;�
Gp�i�`����9Ԇ�(\
6�]�l��h�oWq�
$�$�R����
d�D���9 'PL
0��1˅ i�`Hf��4��
.�ԓ��K����dgW.p��
�l7�籷�'1��?Ua!+ ���w��M�bEa=�}
��%�!S
ScbH�F�=wlɩ�(J
,l)6f&.�
�q���t�.}
����"l���;ͷ�%fځ�,T�{`[�Ҙ
���n�hj��?�ޠ�/v�̦��u�+}�X��GY�4�O��Τ��eaO8�ہL���m/RҚ�M���Z(.�l�>l�O��?������H���Ö��m��&�3�	�r�Ywt^��a3Ւ�f�s0a�~�a��H��������^��u�g�C�g��o2������lߦ]
�ʮ8�B\d'�
->b�V^��V�M\���|�v����׷
e�>FD����v�����u�m�8�~��ə�N
}�
����ضƷv5�� �<��|Vv��f]V\��J93�u�;�Vm�w9���"'�#x���Ս{c�31
��]ϟ6�f
�n

-��Ntש���B�
-��/�����
-?��M�w�Ϸ��\�9��/�Gd{�[�����
�������_={oh����/J5���.a�K�hy�dzY�CK�5-
���X���R���$��e(4C�9����9��Rj^�U_��R٠�14mx9�2c���!�,;|� ޅ��9W[GPD����$�O6�<c���z���H��i�Cw�}�	�t�w
l��צ���=Xeb
X}m��x\���.����;s��׺˼km�.<
�]��5�������w���E���i�G��z�Fز>�
�xF��D3�N�.Ԯe������nO����e!���3f�7y����>;tk%�"o�s/?|���1�Λc�t˫���:�
-K��"��ϗ$�T����Mk�{�0|iJ?��E�_[G����|�Ң�#s�Ÿ=��=a�ӻA�?Z�"}|�Q�2�zEۜk���KKw3�l�8�C����'���ٹ�Ws�
��.�>�ڵ�Eq�{����#C?�Έn��
��5��<Yq<u?K�pǍ1�nK�I����6��U
-x^M�/����:�
�Z~�?mM%|;��/;F��ŶV����2c��� TԔ�(�D�4��g<8�y��Џ���ԉr�:���D�N�55��5
�r3����dEE缨�6��7O�O
P�g�U8��vK?=,8Uo�|8
9
�3g���>�
mZ�E_�i��c�ְt�(AR�

T�3�~u���qKae�3_έX|�n���G�u�6�9���/�r
�hR�P	п@k�endstream
+x��RkTS��
+���%��c��)yA	�
��ADA9朐#�9����@�R
�Ro
F��

+��p)���VQ�ܫ ZD�X
�6`]]�?{�ՙ?��oϞ={�����!��.l[ �b��k�B�D�8�� ��|w�R� 
W��	��.�B�JK��r8�'I<�DT
+a@
�rDiԐB
+�KQ��2��B�'w$�p$!��Aa��JI�	�G1
+sғ����ժ7�$�H4�NS6��h�1�����\�OC�^����
�
+�*H9)?��_��Uhg�J��D �a���S��������ӻ"R�R?,^� ����G����PR*2H��L�Owb�o��O(\����N5� #%ZX��j��1$Հ�,��6���*v�aA��Q,
p�� "HK1~"c��l�b0������pҸ��
+d8A�|W6���I���K���dWp�p��,7�㲶�����Q �<x�
�)T�&#���1�7�
5f� DJ1��R��s*3�R�
+[�M�
�G�_=��{�'�����Qu]�,�����-��
�
g�2�}�J�����vj��5=�;�Ҿ�
3�r/ս�<��#Ò
U���
�;���>f�
+�2M��M<OMHk�o0�;��(��gB�"k~���a�?/�
��������`Ww�5᮹���+�u[���
]#�j��$,1�=�_!����֚<=����A���tu�����t~���_��m[u+�D�/��-�E�
+���vo!�u�j��؅�{�Wo�L(o�x}�VU�ǍN�~zo�ɋ���_e��J�
f؞���q�'�ɹ�~�egzsg�C4$��#��gE��o�%�5����#b��;ݺ��NG��X0����@������=1A����î�gOj�p6�wĝ��qn*�8_hU��Ilc�PX�^�l�������B�y~1= �m�Ъ��פXr�F������{]�X5p�}Q�i�g�	�����
Og�
)�Ӷx��j�l�~,IqY��PRR������-�?c��K�y�W}Q�Kd�2������K��WJ�H���8�s��#����I��m�z�����}4����_�
�q[��F������o�
+�D��j���`�5���z��X��}���YͷT�����˼k���?�]�¡�$�,E�s�[]c4�t��Ԛ[�4�C�N�F�U��-�xZ��!$iG&N��0S{�}�ww CG
+X�2Q�b����LF��l{��O�\����
���[�2̫�Ƙ:���@f�ϸ�e�W�#��͗%�T����Mm�s
y?liJ?���E�_ل�d�鸞�|�Ҳ�#s�������m���?:�0s���zYלk����ŋKwіl�0�cھ��ǵQؙ��Wr

7�.�<�ڹ�yq�;�����C>�F�j1�h�j>
�y
x,uS�`��1�~s�Y��w�lG/|��C�y5q?�g&��xghK�a��Օ�[y�<��PR��X,�`%o��s
=&]�K��F���f��q�
Ll��;�l�>u�ܭ�o�Piܱ=�^�Ԡq���)k7�yO�	NTTt΋�h���T���~��Pv]��������O֛�
+�����Y�<��7C��d�l
J]`����
�O*�ͥ�qM��]�x��f�RXٻ��I�̗As+�۶)��y����7���
��WBD�7j��endstream
 endobj
-1495 0 obj <<
+1490 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3488 0 R
+/Encoding 3769 0 R
 /FirstChar 120
 /LastChar 120
-/Widths 3489 0 R
-/BaseFont /UUWYFN+CMMI10
-/FontDescriptor 1493 0 R
+/Widths 3770 0 R
+/BaseFont /AFFNDG+CMMI10
+/FontDescriptor 1488 0 R
 >> endobj
-1493 0 obj <<
+1488 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /UUWYFN+CMMI10
+/FontName /AFFNDG+CMMI10
 /ItalicAngle -14
 /StemV 72
 /XHeight 431
 /FontBBox [-32 -250 1048 750]
 /Flags 4
 /CharSet (/x)
-/FontFile 1494 0 R
+/FontFile 1489 0 R
 >> endobj
-3489 0 obj
+3770 0 obj
 [572 ]
 endobj
-3490 0 obj <<
+3771 0 obj <<
 /Type /Encoding
 /Differences [ 0 /Gamma/Delta/Theta/Lambda/Xi/Pi/Sigma/Upsilon/Phi/Psi/Omega/ff/fi/fl/ffi/ffl/dotlessi/dotlessj/grave/acute/caron/breve/macron/ring/cedilla/germandbls/ae/oe/oslash/AE/OE/Oslash/suppress/exclam/quotedblright/numbersign/sterling/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/exclamdown/equal/questiondown/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z [...]
 >> endobj
-1491 0 obj <<
+1486 0 obj <<
 /Length1 832
 /Length2 2201
 /Length3 532
@@ -22500,180 +53586,185 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��Ri<�k.!
c�8S�B8f�'�-f�0ZDM3�h��1�Rǒ�,�������#E��	IE�ȾD�w�9�s���������~>�����}�����w�2��N��,&W
�@X��
�(�9DE�I\����� 4�
X�'��o��o�և� XۏCs;�vcտ�
 3ȡ�IL G�|
2�8��4�� ��t���'@ =A�7HA@�h�B#s���	A~�dä� ��e��ϖ7���v��T�&),&���T�����7l�(n�E��I�o��I��Ob��~0X
�� 8�0�
��Á��Ǯ
�D��͘nt�B�"P���4OK�/H��q�'*��	��A&�G'���} c	�X�?F�޴'ј\G?6��b�c�_���
8��)��D��s���eL2�Bc��z� ��!�A����� 4 at cR@_ ��;F"�,.��O�
@eq ���"�o�?�
������̿A
 y�o� @z��`n��
�B�� Z�z|Gh]} ��9��L"�v�
��
�P(Cm��*ً������O�OL���� ��a��Cܓ�����(R��O�
i�-O6FL
o���mww�I�J��
-%?��BR�zo`w�N78 C{��2�)���G]��?�`�E��߱�jN�)/���*�Gd�>D
-��Y��8���'z��<�q�Vi� :���m^��be�xٍrGS���`�_uz�C�1��6u'�����K}�
-A_�P�
J�X-)��#��{�{�P���S��
-��B�1�I}����7M���>��A
]7��
�
���#<��<ڥ:u�y��Mc��Pj�F�1�]Լ���(��2��.� nTWF��͊�n0� ��_P+3�3��-��͉SŽ	�����4AK���N��"��E�Ķ ��,�Lj=CrD^�l��X4������ټ�2����:��^]I��LZ�p�kDS�=�W��F
-��-:*�i<uŵ�V>?
˦��DUBY�=�O ��^��'}h���g�p

4��w��o�ۭ!'(��<��+���j��
�U�#,8�WRe��8
�(,.:�Y���	 
�`/�I1�2v���r�^1פ�8.#:����ʹ��ϗ$ҡ�-N�o�8M�H���dWvߺ0���
-�v���g g)�A;!�E6_�\�f�\�&����U
���{����R�p��K�� �'t��\mcXV
��#��

��_y,c��&�V��2�!��C-ɍ=i+�L�FR�$�,
i^
�z���သ>
�?^,�y.Dlxkr�y�$�"��yfKh��2ƽ�꧔�W+ré3��x�@��gZ)
���I��.w�m�(/0��n�A�_�M��t�*�e�8Td�,�5������0�@c,�l�R�����ey�s6tk,���\�'��X���5z�6ۂz�]�4�U���ɼ�����'1Qg���l�a�
^�n�����L�.]-f7b���Z(/���Z�����c{6��Gb#�1FO��H�~
V�M�0�Xħ�i8
��f�<T
,�>O��d_��ߡ1�3��U8�I"�[�J�6g.�+��!=IP:�I
s�I J:�?ԟ%
c���:�9&��).�M�z6�b��1��h��x�it|�q0�8E���Y�Ħҡ�c��e�63�M�v���
-]���V]j~$.�ጤP�����t��"m�����p{H����Y�������"Ω��G�B�Qg
-c�$�edI'!���=~��@�4Crt�F�z�D�
PXF�|�z��8�c�EP�Q��̎�vZʓ+xy�Y�Vh������7	#K<��i����
_�
x���*I�_n	jJz$��3�� T�T�oOO�|�S��o۸�IU�v<��`8Ä=;��q��X{��Hܡ�tYR���̶�*S��Ya��h��y_�\d�n�(ق<�����ڷƭ�v���sRZ����T<ô��T-%gp�!N��ᡫ��M��J$��e��m�
���֩
H�2��}�U�;X{=�,*5
vİ�zRwG�Y��*����#�풎���h��I��ٲ�-:�O���K
J5�3�d�5eUd2\U��������@�^�Qܮ���zc�ø��%�CE�����#�:�2��/IK�˂�(�p4eת�(ܥ�d�Z4 �t<$�	K j��|&���8Cug���wӻ<{U���N"��\�_!C�:�_
��g�_r���F튄F����8�S�û�c}r��X��'��T���ܼ�>_n}�X�E��#.T�l/�=���8 [...]
-z)�~0���5\8c>p���g��������9[	���_��]�
�t��d���N}2IOT��76�j�
~�n����Jǥ��Ļc�Cw�z_�
̖�Y�
��J���b+��ڥ�r��h�8V��<jD�(I|�^��Qz�)�ji���=ݕ�/Z�=M�\�j�����f��ag���Ԯll;��guL�y/�I�%��˽T+����b�U������ಀ���\p�~α�k&�펅/�2E�,?�n�,ɮ7q�z�`D]=��U)����^/����
4e��7��RS��T���V��9q�����a�
��/�����ۊu��L��2
�֖MPe�2�}�LªK?O�ۍ�)w5��/��xS�)�Ġ�KH��z�6
����ּH��:6
l\�b���q�HO/gfOl��`�
�?� ��� �A��b�8
�@9�Nendstream
+x��Ri<�k.!
c�8S�B8f����A�i-���g4��{�c�R�d�P�^����Y�&d$�"���I���y;����{���p_��u_�����
+��Q˔�<Z2
-4m��l�( �@�� **�l�ȡ2{�
�@c�ڀ%x�����z��h}�
+`�d����'9�ns�o$
`J�T���� ��A"� G&�
+r��)�࿝�����
��$pt�2 �o�l&��^&{��l��l/�)`��Mu�o��d��2H� ���@������-�i4{"���zR���T��
&���� �Iٌ����p ��M��k�!Ҩ$S�;
�к���:�˒��
�
�I�B�y��u�A��	?�uȽ-,m�4��zӁHep��Y ������a~Hl��⧌���ϝ��Y0HL2��h��D6���?">�� �A� Џ��`09�# ?�3 �Ɇ|�+�������z ���F2�u 䩿A
��^��
�̌����������к� V{�ߙ��7h��C�P��U�7�
28�o��B��@���$�z$�9_d��Q(��%���RV�b��0��ž��
+��I&}���$S���ntD��J5 at e�3S
7O�&��	4^�,AO�
�)�c�՜�S^|�S#Tb7��d�>D	��Y��<���'z��<�q�Ve�:���k^��bf3y9�rGS���`�_uz�CS���6u������Gy�
+A_�T�
��Z-���#�|z
Rz���S��
+
�
BҘX������7MEN�ק�
]7��
����#<��<ڵ&m�y��Mc��Pj�����]�������r��.�`NtWf�ɯ͊n�0�`��_P+3.3���-���IS�N�f����tAKܕ��N�c���RB[ &8��1bϐ
�W2�a#c~�Mnr�l�}���]��1�WW��8#�V�� �h�>��}�J�S�A��E'�9��n�V���g�9���(
+B(

���	$������/u^C���#.��@�oB׸���r�z�#i��^H��>�ݡ<�x���|_�эӡ���cҞ��
+� 2
RYdi!#�*�-���sM*N�2�C.Z[��K�i�|Ib z��4�f��Ċ�.
7����֕�>�V��;�><9K��
�	�P�,����p@��6LJ�����
7y{-Ms�׊��-e��G�v�uf�}��m
Ϯ�V�b�Ã�+�e��܊�¡}�C�2��c)�yq'me�)�H�$��eá�ka[��ܔ�1�Ӈ����}�
ޚm�<��
�E���3�����)5��ʁ��̽l
,����VJ at E�m y�	����s[$*
+�>��oP
�ls?ݨ�|ل����e��Wz~=�
h���,Ck�"�W2�,�}΁.��F}� ��Ij�W�O��k�ma���4�
w�u>�ǝ�J(�
z}�����F�y��
�m�]�QI�b�%�F�
�Z�a
�e��Z��9nQ\Аٰy�f��H\�=���ɹ3�\����!JaI�f���mځ���óyY*U�����79T��wh
�0~a�$��#o%~�=�LӐ��+�ڤ���, %��?ԟ-
k���6�5&��+-�M�z��
�tic�O1pU�D�5���B�`�Q�X�m�2�MeC3�Fr�˔m�2��5�n��6�X�}����H|t�I�|���3��ԅr�+���%~3�g=���@䦶���9�UE�)�}��RR��%��H��;��/B�`�t���u��'"^��2�f��k���FX[o���Jvv����R^�8���.B�š��염�Y�A�O�'L���r�����C_�W�r�r�HPS�3���)�������zz2���:�|��)J�.�㉬���Ƭىm�����;�D��f�=>g�%U�H���Ec������"k�D��!�
wj��*��v��Y	hY�>R��&�&j���3
��]�wnz�T�??�n
y8dt�"�N�@�9]h�/EQ帣���ʢR��G
z�'uwt�r�U)O}�1l�t��TG�fMv��ɑ=l�1}:���<��P����'k�)�b���:TG�>FGp�o%��Ҍ�v5/N��\��ǮI*k=��?
��	��\I\�\L@�F�ɻVeD�%Dk��1��!�,X"A3}�3�����C�m����٫�d�wy
�"���ցb�W<��һ/���jW$4
+����q�
>u�S�G� �=�笠������8�\�����MF\��o� ^a{ܾ
�2���xe����
r+/�F
��.�M9�
1aGN

Y�\"ҥ|�#JRԢ�NZ77~E%7�< ]���
Ԗ��
+��^Jv��t�Μ�+o�	�mDl��}k�V�w�W�/kW���-]?+���l�>g$)����	��_?x� yrC`N��Rbl��1؍�a�E}.f������z���g������py��4c�*�VO
5�_�$<~�^�(�Ƅe�4r��Ȟ��-l
�f�.h5s9�}�Y:{X�,k=�+�������Ǚ
�h�Kmb\��r����G��e��*|�Dt�p�tpY at B�
s.$a?�X�5c�v���Y"�[�lw@���;~=�QW�a�_U
+�!��Ke+#aMX��	�p�Z�K�X
+b��'.�ޑ5=�a���Q�vpE[I���‰�UzR��ڲ1�
sz ����$����T��h��QWC�/�B�N7śN
j��v?��o��Q�
+)�Hmo͏2��c����/曾
g���g��E,
�ˠ�����	
$�9L:��	��ò/endstream
 endobj
-1492 0 obj <<
+1487 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3490 0 R
+/Encoding 3771 0 R
 /FirstChar 101
 /LastChar 117
-/Widths 3491 0 R
-/BaseFont /YCRNQC+CMTI10
-/FontDescriptor 1490 0 R
+/Widths 3772 0 R
+/BaseFont /DWEFIB+CMTI10
+/FontDescriptor 1485 0 R
 >> endobj
-1490 0 obj <<
+1485 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /YCRNQC+CMTI10
+/FontName /DWEFIB+CMTI10
 /ItalicAngle -14
 /StemV 68
 /XHeight 431
 /FontBBox [-163 -250 1146 969]
 /Flags 4
 /CharSet (/e/i/n/q/u)
-/FontFile 1491 0 R
+/FontFile 1486 0 R
 >> endobj
-3491 0 obj
+3772 0 obj
 [460 0 0 0 307 0 0 0 0 562 0 0 460 0 0 0 537 ]
 endobj
-3492 0 obj <<
+3773 0 obj <<
 /Type /Encoding
 /Differences [ 0 /Gamma/Delta/Theta/Lambda/Xi/Pi/Sigma/Upsilon/Phi/Psi/Omega/ff/fi/fl/ffi/ffl/dotlessi/dotlessj/grave/acute/caron/breve/macron/ring/cedilla/germandbls/ae/oe/oslash/AE/OE/Oslash/suppress/exclam/quotedblright/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/exclamdown/equal/questiondown/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z/b [...]
 >> endobj
-1482 0 obj <<
+1477 0 obj <<
 /Length1 791
 /Length2 1408
 /Length3 532
-/Length 1988      
+/Length 1991      
 /Filter /FlateDecode
 >>
 stream
-x��R{8T�&)��U�.
Mff���6��[e�v��b3k1��˖��
1vTrH%ɥ�ډ&״#S�D�!jʶ9�Ng?���9����z����߻��g�K�3qd� W�L@h�<}� H�

h<���(���  ��GA`J@����
Ŕ` ��p!ac��x�d	8r!
�d �'cC\\��� ~(�0!	p�p ߅	>�
�!^$�"@`�L
8 ������
	F�/e� �k+��qS�n��-�P�#XP0���gA�����o�]
��� �g�.�
s����p� O��o���/�<!,�~�u�
�鈄p ���]�h�E�1&fp��b
BXߚ�c[�@���
��I\����#��0�_�
�E
���lxp4��B�P@���_��~s�
�DY0���`�x
!�

Y 1  #,(��q�d�b��G�<��e�[d���؂��(�
�̓�0���NNht�	��&��(Z����' p� rs��)K+��*S��A��Vx�_q0��
A���׃2m�B��VĻ�W*n�w
-���r��Y��lyιG�[jvϜ/�����ƨY
~jS�O���PDVA��p���ƒ�:��z
-���d��T��uM�����h��
<�R<q��n��?������=��������]
9�Gj
�t}�
-"*R̓����r��?9
���@�umh̜Q*ɝ
�~��ݞբn�^�������i�w�7
?�Q�xmv悈�MlVg�U�tًrT����G�������]GZK�����iӓ��7A7�>��+YgN��Hwh�����
�`f����{��[�5�_f��Y:
q��D3[��{QS��͔Sr�ۤ���o�3a�� �#<{MV	:k��.�Z�U���� ~�M_��흄 �xOykL͞��k�;8���G>N_s�򸚇"�ﻄ}vƎiu�3�a����Q
c���
�Q����#�X�v��T9�ݞ��mƱ��~�}~X����/b�&�
-����+>�|�y,�)@�й�RR�:�@�N�[���

���]��6O�׈���>&�-{#ͻ��fv�rh���`j����-X.��<T��_�]B%�}֨2�x����{O-|
�7'�H��d��RW�P?F�T�7Qު�U#U���g�S��J*/��ɵ����Kfl�Ϩ�S����J��,���:�z�x��y�5=V!�h2��o �j�y)�	| �Nu�d}~�Q��~�x�?�d�Yld2ѷ����J�K����/�>
뼜6Y��s�L�~-H����-
�M�ڢ="HC��W�>=�x�U��Nw&�м������� qmZ��NJ�+U��l�/��(���-?����dz[6#�%�Ȇ
�Ѥz��������7*��{�[�+�^�rUn5�ـ1*/�j~ۺ3f0q�*���	�rDm��I�j�ؾD��g�Nj�]O���m�PM�-�*�S
NxXI��.�����v�v��ҫ[OeO�J4�v9�%e:Nd���
-���Q}
]�æ��K"s+H�X�^;s�ʌbI�n��9�ߤ�`5�={�ʍˌ�0�wYYt�P�z�,�y��s�j�U%O�6�..���])
R]Y,s�r���q�QE }���'��͖F
�!��#�%�l�^��yw��}#�k}����ԇ?i;d���O�ޣb��R2mP���T�-��|���ƦP
����w�u'"p��Ɉ���'6jѦO�@��2�e'*���
-
��v9\�T�E�j�M��ݿm�w�v��\��NC�ЮєeqG���u�N�۱�`�rU�6&�3�A���%�ZU��,Vx��v=�-L��oi��
`�`�.eɢd�y�O�,
�� Wˡ�MW�
WK����߭�'~u��
��F�1�o��[�~��e?�/k|��a������n&��Dm�R�$��{���I���2j9-!3*H�J���:�wz
i��D��o��
��Ns�
��肶S�Ç���	&b�0������'�endstream
+x��RiTi�0�
+�K!�`$I��Ul�p���B��1)HARI�,��� ;-I
*� *"�(���
�	�-j\p9A�i��q���s�ל��S����w�~�Ԙ
l��BwC�(�Y�$���Q�D!���x�Qĝ�A� �� �����TGkG�����B

�� s��,�p�B<��@ ?Ɔ�����Q&
aB��� A�| �C�X�E"� ������y֏7�v��,A�V,��� sܤ�[d�G��p��ςp'�
S_�{
+8
wV
��O]���G��
�~(
�!_S�B���A,X����180���@ �s	�{���cL6���:���6��6g��I��v'���\�΀,D�o�Y�
��x6<8
�N!Q( N��/_;�:�a�,����
+0x<�����l��@�_2	A1|�#I�Q
a�2m
 2�@��9lK�X
�q��A��K774>�_EK+|
�;[J�7#p� �v��);{��*S��A6�Vx�_p8��
A��08�2��#K���${
�Ԫ�Wu�h��?w�^�VڃUΉ.�����)O���}X}xuܴ?�-1��S�7&�T:3
�k�lO�Ѷ�e~—�ki������ت�=�)=�)
�1ZI7wy��J���Ǝ�t��6�2��}
f��A:�15�6Cq:Ņ��%Gfh��@�z�cE3aS���پT$��@z���\��}Ћh������
��S"�&�u�Y~)ҿQTĠz��J�d��ɤ�G���+�������;ɽ/�.7ߺ���b�
=�/ǥ�����3tS�"�۝�+�?$w��=ɳy1*���f�����W�3��.n��ː]���=T��/��tח�9me��r#$���N�,��8�c�A!
�
�>�4��g$gI�j���
+�1
_u $h
��ҙi�3�����#���޻�d+?튝a�����j�ۍ�5���ݧw�6�D=i\X�(�����^c��}�{�ۊ7���w�I���j8˷�,
+9�����:
�x� u�����}Jӂ��S.TiF�p��	�֤��NJH�6�"������Sj�>��E�}
�\�kx{��.�R�;�y�5g�˅&	�-�:���Z'�
��<>�)VQ{�`F�G듑���B�hqL�����ZI�e���M;���+/,��@D�u|S�A��_�(��M�����%�!�a
&9�P��>�:��r|p��_%�j8�?1Ȗ�v�*1z2e�T��J���(Z	�28�T��7�z�ޘ0=Æ��ؕ9���gq�F�<Х}�s'���~3uyv�ӑ'�ɵZ��N%gF:�Fwޯ>�k�������!�y�f-���f�Ű�{�K��WkZ���د(�N�f]Q=�ݔ1�
+/0hݽ%�i�fP�xEP{z�H���B4�[
V���L��n��9�)^�l�B^�u��v�!_{�8t�D�\�,��dW�<��H�T�L�x[�Kvz��x��fX��U�7������:#�A��t�eo
��-�ˊ����64~���Ƹ1��CmnR^L������
e��K�Y�O���=��w�PWqwr5��$�Ĺ��ڋ�
+�sg�}
�
Qrv��y�
��٪��K3�2���V�o���G�j�+���ص7��
]r�ޟ�xI�\�]���Zٔi={[U�jj��
�.���z��
C�WSWHS8�
�q���
hSG�к���VšZ)Y�f׋ ��z�f0�!T�g�0�F�ݎǍ�4Ur��3S��:�� iQ&0>W��ϱ#�
�ZH�ʖ'���oe=茪�6�:�H�z�]���)
�?x�R%w��J��}h�خ����T9T���c�y
��rq���%;%�η�C�uH�FJ�s~k7iT9,
b�)�n1�j߯��m�M|H5ԭ�L'+f|/
�Y:��V�R�����Ś<jry��7�H�h����G����x��x�A��@{)��C�K��B�Ɂ<
�2xQ�0'�endstream
 endobj
-1483 0 obj <<
+1478 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 49
 /LastChar 51
-/Widths 3493 0 R
-/BaseFont /GSOUIM+CMR6
-/FontDescriptor 1481 0 R
+/Widths 3774 0 R
+/BaseFont /FPTKID+CMR6
+/FontDescriptor 1476 0 R
 >> endobj
-1481 0 obj <<
+1476 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /GSOUIM+CMR6
+/FontName /FPTKID+CMR6
 /ItalicAngle 0
 /StemV 83
 /XHeight 431
 /FontBBox [-20 -250 1193 750]
 /Flags 4
 /CharSet (/one/two/three)
-/FontFile 1482 0 R
+/FontFile 1477 0 R
 >> endobj
-3493 0 obj
+3774 0 obj
 [611 611 611 ]
 endobj
-1471 0 obj <<
+1466 0 obj <<
 /Length1 797
 /Length2 1575
 /Length3 532
-/Length 2156      
+/Length 2157      
 /Filter /FlateDecode
 >>
 stream
-x��Rk<T�
���#��
���䖹`	3�Vq
bјY���,f�fR�D"���ɸ�RI��]H�n��Q��L�Hm�t�v�}N��9�����}���}����/R���ā
-�N0�c�Ea����� Yb0$���
f�
��ZYY �#耩���ƙY�LH� ��XPp0 .�,Ȃ(d&�F愀
��L�`
-rx(��N<�v�O�
�"A*
-��T����`��@/Yre�`��k���	��S���MC at b�
-3�<�
-�hwX2
�x�o��^�)�Nw'3�䗂�K�̀�?0#,�� 7�
-���S}����@*�����!�!�3�&Xs��k
b;A\��q(! �Lg��u�I�މ$�eh��+������.�<����
̟�e��K"bA\���`��������,G&�B�`�g�Y,2��H��p@��T�
�\�a4�	s$[ I0��B,�*���R�h���
�С��'��an��ᘘ�$Mͱ�%s��y��Px�Jp�-�f[�
��b�L��˒��
� I� �)��.�b��\��b�c��+��l�����5q��lP��V�op��r��~�R���4���*w8� �

ף�@A�0����$E� �"hnPdd�zۻ�MX���ˍ3��5�7v�b-�Z��2��]
���趡�5�ԍ#���ʝ��o�ɭ��9�ypoA�����{�~y
گ�e� p[�uY��|#}Ҡ���ן�xh��CJWkԂY��fk��+A*Ý�V���DS�y����p�(
wg^-{mf�L7����\y9¥H��c���L���5�g#��J�!$��
-�nH�:��'"����!L�
��_��Kut~{�i�A���������΃�W�� �CbM#;�Y�=S3+]��Y�����O��p-	Ԅ�<����̫�U�ޭ}:�{d,�L�E��0���U�
A���
��e�d���wE���jx�ѽ�w��,��8R4�y�ʨ
 CaU�u�r����Z���H��aLd
;�ucž��Xqp�LI�6?G��u!���!�7>&�4t��P��<�>׽Fq�=9W��E�~�Y����t�	�W���,��-�

CA�F�ś��̞��E���.4L鿰�{��ͮn��E�d;!�t]�aYAO�~�'[?�ZA��nu�}u:RTt$}lM�Yn�	�� f�����|�F�c/����A�
a����]�v�
�z���#m��6��%�#��z�8#�U~��9�Q�s�P�?<�SM�W�{�?�ҝ�K9�2�ދ��ߠd�G><���k��ײHO*U���bg��Î�yv��|�&/w�Ρ��p�q%�l�h��a��5��_q��8�^��*��V}�j5P~�7�ZQ;QeU(��¾�3s��Q��_h�
љʯ+ܽzEAf�P��P!@b[
8�R����R�/�
E�؟=Su̎�&Y�c���ďvi�?�
V���[�!���6^�8���
Ti�Rk/#J��_P!<�
�}?x۽1�/5��Q�5��Y�ĉ8�qa�X^]��¾��W�G������{>��
���|(��~�RP�%MNv�1� o8�0b��q�H;�4UC{w�mƳ�
	��Z�t�)�w��q��Mo��GU�'��~�$Xx-r!�O
-{F��Z��.b��D/�h��
��o騛��:V�7�U�u[� ��}Sڬ�*
h%���fut�t��(�E�s�"�&�����ƥ�LoT�NU�3 �3��J/�(~�˾^/cz
�=�6��dk
�~s5�H�H�Kg�`?�q�dԁ�MR^I؄��;�s�M
�.j�AG�ſ�	CS��57в��ZTI�Y��QH����I��i>zJ�����
$r���MǼl�R�󯷔}m{� \�?"D-����1+G���
^5�]j��H�p��i���8g��C0�ǚ�U7۶�+9��	n��+z���y�}�B���uOB����6�{C�����&C?�r�%
�D�M�
��
-��o�D���~�
+|I9��Y[��|����rg
-fC�F����F���s�썛x��'512�֎ݮ��2�
k��U�������qx�Y�����
��G�]���v�H;V�,�ſ,�I�O�X�77>�O�-�t�n�Z�R�T��8y�~��
�OP� �ŁdV(�
�z
endstream
+x��Rk<T�
���#��
ZN{r�\0���qK�Vv��5���bfh&5Jt!r����[*���܅���%�̈́�ԖK{h���?�����Z_���������"u=���)p�3��X�
+ �����%�@"	L�Ć`��� ���9�-���
+����p�	��}������L�Lb n$vHk�I4�&C ���i4�ki
�Y 3��X,@��l 
��%,��)a�Z� �%6�/�4 �&)0��( �v���@�������
#h4w}I~)���It���� ��"� p�) ��=����
�@��.l
"�3�i `�5Ca̾�!�#�)
�
PI4�\��[���ڱs������� A
�7
0��1�/,��	q ?

+�������j�w�
d�1��9 at b2I\F,e��QX bP@ r�(�o��
�0�t�X
@CK�?�9���/�@�.ÿ���9Q�cl�O41�8����d@��
�a6[�n�zDr�	2��/K
�7L��y� $#z�`�u��s�NjyyO�H����b���βF	��:�O|@�)�8���U��q�4���(�?� �
ף�@N� ����$Y� ��on��g�zۻ�MX����
3��5�7��b-��R��]
Ӽ�趡�5��
#���������[?�s���ނ5��3?,�j4��<�_.�2�ﶲ����F��~q��?��Ќ����ƨ9�|A��J�W���;{-�Yщ&t�(^?!�� Q2�μJ����&N�/"�M��2�K�����w�7���D�q�F����2B<en�+��9 I������K÷�0v9��D�R�X���ۃ��*��Ϗ���u$��
*��*��Y�δ;P���w�|�KI�:l�!�L��jVݮ��n����#c$�,L�/�Yͯ��B_��h<�*+u%���W|*�U�S=��'����y�R��#E��'�-�� V�[G.�ޥ�
��z�>ɓoѼ ���ce�nL�30+
+���Ԯ��Q��lY�ic�I��
:�f�wo�G��^#?
+�������
��4�eoq���;�ou��Җ�S���?z����YwFO���Sy���^X�=��zg��¢J�� W���4�'\�����m-?�j	�:ծ:
),:�>���,7�l�3�I�v|�R-ϡ���� Ն0bkr��Z�`�T=�HsM�g�
�lr��a��.�Ht��#|Nh�$Ɯ*��p���
����p��R�􇌺��<�7(����Bu���:��,�'��[�s����z�a�Ӽ��u�R��9w���όz�ѸY:n4Gˠ��@֫8X@
���������0[�_�
-W�NTYJ�;�.v��
*s�f���rC����
+w�^Q��%���UHx������S�}e�r��}�"	}��^�Z�Ǚ�����>��G;5D��+A��-�k�`/d���Z���V���%��/��
N޾����ޘ��۲��aɬM�D
���G$��qsa_Tޫף��x�p֞�ƪ����`�]d��
?d)��&#=ݘ[�7
T1k�J��������V����T
�
�ފ�r���8�����롪�oa?n�/�:�Z'=�z@�f�&g�a�O�7d�����[�fೃ��Ͷ�~��H�v~A�Ŕ6K��G{j�e��Y-m]-�*7�w��\���1����q�#�仓CU_�
H����K��_t���K��
Cw���{7�E��\� �'�y�?��{
<u�g��w6!��N��dSǧ��p��xѯ2��T�w�
�,��e�����($�H��e��4=%uk���OR���uǼt�B�ӯ�}mz� \��Q
񼰴G�ʑg�k��W�m�X�;�4�������P�3t�>��cMછm[�����	�����LW��J���!gݓP+������>swv�j��Џ�lA��;an����ïB���?Q(s��{C�_R��mҔ40��5�؞�Y_�V��7t�|y���3;�&.��IM���ź��c��#�
p�Ú*���zo��r?=#
+�;���mO
�?��XyT��oQl����u5�Ȣ[�˒]i��Kt�Ƨ�ɱ��]��Z�S葈�� '�a�����	2
$1�0��
E�2+z+endstream
 endobj
-1472 0 obj <<
+1467 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3488 0 R
+/Encoding 3769 0 R
 /FirstChar 105
 /LastChar 107
-/Widths 3494 0 R
-/BaseFont /QAIDVF+CMMI6
-/FontDescriptor 1470 0 R
+/Widths 3775 0 R
+/BaseFont /ROUJKO+CMMI6
+/FontDescriptor 1465 0 R
 >> endobj
-1470 0 obj <<
+1465 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /QAIDVF+CMMI6
+/FontName /ROUJKO+CMMI6
 /ItalicAngle -14
 /StemV 85
 /XHeight 431
 /FontBBox [11 -250 1241 750]
 /Flags 4
 /CharSet (/i/j/k)
-/FontFile 1471 0 R
+/FontFile 1466 0 R
 >> endobj
-3494 0 obj
+3775 0 obj
 [446 512 661 ]
 endobj
-1446 0 obj <<
-/Length1 924
-/Length2 1691
+1441 0 obj <<
+/Length1 903
+/Length2 1559
 /Length3 532
-/Length 2350      
+/Length 2200      
 /Filter /FlateDecode
 >>
 stream
-x��Rk<T�
��]Qy�v"sc
bK���b2-3
��5��a�r
E[H�K���3.[t���.D(���	�J!i��?�����z����?��>����k�y۲����	dK`���
�	$���
C|��n���% [X��� ���D��P,�2�ㆉ0$(�
��͐h��cB�
��92
&��\&�E`�f��<��`,f�d2`!L>��O�1�r�
���Y��1��0��\dY\�-,8O�ƕ�˜�7L}+� `��A�����V�8[���	�a
�pY0�~K�����۪#b#L[4�
c�)�dB�R at x�f�!|f0��<x�QַVd��!z;�{��}��l�
BP��(
��ȳ{�_{YF"~$�D�e�Ͽ]��e�2�,
��0
�I2)
-�
-����`!��2�D��ˎ Y2Q ���g�JD�
-x3�,`�O
�
�5)�+nj�a"{�W�4A��+H5D��[
��%@&Q 1 ��0��
l��e`��d
�X�c2�=�M��½�&$`l!{-�lN4�EԿ�Q$\ ;nT�dN��� �`�?;ڲ���Dd-�a!���tq�B2:p)�>�^�
q�ds�P�a�8:
aEyRsݵ����U��Pm[���p\���������U���H��^#t{����X��h���F�����g��װ��ɺ�{�tc���^n�ͫ�%�d�a��A�)���US����IS{q|��G��>�]�ч��)H�
-G�2?���@�x�吝
�M���
,������]����w�&�Io�
�dzŒ�P\d����R|���0��-�
mu�D�{��ְy��S��j����-�ox���>1�D��9�0�ba#a�A��QUj�ɪU{��e�ѭ�C�F��c����e�i�ȟ+��U,��7ݺ�Ya����:Np��Ue&�LXEY�d���D�ߑd�GI��-��=I������Ps��,�|)�ح�
×?�!��q�6CO)>�]6Ǖ��C�$8M��H��de�����MQ���7��j�ب��"��n������̣5��mS�
vReHE;�,;\��'

�I�g%5��e����� *f��AȬ��8���˼#7�,�w��[?N�۬����"��K�1�W���^��h��u��7�ncv(�jm�p����͇
�q%5UU냭������"�]
O����Qb�H?=6z��p������n��
���rGx��ϙCL��Ƚ[w�6��w�7:UR��p9�9s޺s��V+W&�� [...]
V/�J9<m��
gԶK�VsYsط�
>����򺢱gm��8'̪;*�.Hj��W�ׁq�Sp0N�Pz��@B���"�A�v� �d]�j�]5	^2��o��T�
����W��ќ4�
6���?�$��ܟի��=Ҙ�O[��� ���ڒ{]�Z�?
-oO7oO��H��r�_�U
��u���׹�-]�F�2����0�ܧ��=��
L�i�]X�Q�g_~|��H"�r�V�Ӥ��E��>����)�n�Q:�H8��+�µ��`q�����?h�Y
U���[/�,�W|t|,�Ηj�}ˈ��OJ�c:�P���62���K�睮::
ͬqK�d��V
���8�_����y�Τ��/ݚnլ��}j�N���*��\����d��W~:�5s��$�P�lR�>��ع��
�Ns�]�9`P�얼�
���ܬ\=NS�F�s��>5,��.�9F��W�y:	�
-
NR&�*�ua1�;��'
����
#�y�^{Ѓ��y�ޞ���/#51:*��;~ۂEҞ���a1U�9
-�
���I�����ۣ��X��8ʼ��ȑ�����LҢ\+v�Ҭ�
ݞx{�M�N%_��!ꦒ�
��?
���|-�:�-��weح/>aW��SpH�6����8۰�z2n]6bc�s��[$�x����Ղ�ґ
�<]j~<Yp`���xyb�ɮa�r���o�6�s'�CCt���d��s�)S�=�b�Е�E�a���f��W1ՉaZY�*�	$"
���
ŝ��+.\\U��f}х�]o�ZM���\C����X�r�=�dh�W��VΑo

-�ۇF��_i);��%zik&�?�����`�a�s9��
��
endstream
+x��Ri<U�
��R��i!%ÞĶ7N�y��H�,k/���k��&�2O72��T�PG�+��m at BHe(i0��":������O�w��e����>��>�WM��E�Be��L�����ɀ���>} �������`��0Q3��<��(!4 �
�d��� Sf���p uӝ�$"@a�,Q�
�
�<
�.L�9\
@����
l�fìP����*q ?�����eC֨? ��Ԑ���P����y&w<�T&J�T�_�����7L�(nB�;��e������'��
+��,��I�Y�Խ�7{���0~�Zs@:QP
��08
��¶@�`�# � �
��0J��
+/�#XK3g�����TWz� �r�p�` ���R�׼�XH���px
����y�p�9
+1�J�z �b�\Q
O���
����a 
�3�ŠLo
�K&�g�D����

a/�+��ټ�v oH���l
�]�B�ꏠ��
��`Q���n�t��] �# X?�t؟�/�Ο��Y�����	3,\[h�x���u"���DW	��� ]
��_


+a�`���y��Z�#���p
���2!������̋�
+a��߭x�/��^
u�F��:)�8g�N��Jo��T��
�I��)�9
��>#]^�Zt�=#Z���E���#���c̺9�-� ��frk�x��V��꡻��7&
�����b5�35T6�/���s^�,lV^W��<T���;=*��Sj̴��$x�S�Q>�x�dY���ʻ
�4J�%�o�=3�ߥR^٤����l�mi'�.���V��=�98c
nv�c-��=�%�fa��~��nį�����\��0Z�{ޱ�сjN��W�h㜟
iw�~/��P�*�[0lS�2$�ʲ�xۥ�(d�|�1p�]���s|bn{�ņ�dUA���58�Y��H]�,�\3gI�ɬ�S9�ޚ�f��
��p˳��d>����㫺��\��ּ�/���'(i]
;���n1�yɫ���NI�}������O�C�B%��J�9*�R��"��5���ϳ���z�K�r2î���Rh�;����cB�b�yW]q
z~%�d����YUШs{�I�í������|K�b��6���p`��f��\Pڥ�L����,�Q3���y��}=6��i��g�I�Z1�Q>�'lH���?�Vo����f�������>�~8��ͥa��	��5s�x��b��
\
+����z�]�Нi�Tq��7vr��|�~3�!�|6�`]��T�u��2#�r�R�%M��a�N<.��[t�����p�p V!X{M��>�oS]���I��͏�G�[��2i�^���O��L�����e�+4����`���%%�/d�O
��{���JSr8�1�E�H��)�G��Y�,?cg@?aT��~wg6C�o��� b����#ȶ���ַ��Y�_���*
�s�M�F��v���Fx�R���	�X����
+MdZy_afLGxJ���ƴE������P�>�
rhAe=)ńI��`�=�嫬�ط�Q�����d��/7o��wCƔҩ� r�p���3Ȁ��LW�Ҥ��35��،Ӳ����2��垏�t�R$�0�Ԑ!�q���(��'���
+������H���o
e�KgQ�5������N6
+5M��V��F�}��W���=dq��>�<$%��9��x��0T �u���3�����ᮝ��9Y�Z�
�<:z:�w_a3�%ً���&����k.�|�C�U�6A5���.�U��̡
+
�-I�5��LgT@�;PiV���3TU�����saN����<���ְ�E�^��ȋ
+?�.�������쩈
�Q�f���f98���
/�y+@<�O����,H�O�
�p����h�$i�降�z��������S`��e��O�{$��v�5�f2�c)7q�aɕn�
<<nuq�g�"`veNe[��DH�|�`���<��}�g��&�}�m֣�_>
�
�������D]�(PZ�(�L�i����;Q����Hw�[o��?�N
v"2��4
��]���_�$	�k_�[:�}D2�\

;��tJ'z5��PU6i��D�Y���w����x���H���rIIܚ�~��<��նɧ[S���m��R[����_{/'7*r	�~������0��0 +P��5��endstream
 endobj
-1447 0 obj <<
+1442 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3484 0 R
+/Encoding 3763 0 R
 /FirstChar 0
-/LastChar 112
-/Widths 3495 0 R
-/BaseFont /ULEREV+CMSY8
-/FontDescriptor 1445 0 R
+/LastChar 103
+/Widths 3776 0 R
+/BaseFont /GDRANZ+CMSY8
+/FontDescriptor 1440 0 R
 >> endobj
-1445 0 obj <<
+1440 0 obj <<
 /Ascent 750
 /CapHeight 683
 /Descent -194
-/FontName /ULEREV+CMSY8
+/FontName /GDRANZ+CMSY8
 /ItalicAngle -14
 /StemV 89
 /XHeight 431
 /FontBBox [-30 -955 1185 779]
 /Flags 4
-/CharSet (/minus/asteriskmath/prime/infinity/negationslash/braceleft/braceright/radical)
-/FontFile 1446 0 R
+/CharSet (/minus/asteriskmath/prime/infinity/negationslash/braceleft/braceright)
+/FontFile 1441 0 R
 >> endobj
-3495 0 obj
-[826 0 0 531 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 288 1063 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 531 531 0 0 0 0 0 0 0 0 885 ]
+3776 0 obj
+[826 0 0 531 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 288 1063 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 531 531 ]
 endobj
-1439 0 obj <<
+1434 0 obj <<
 /Length1 1494
 /Length2 5353
 /Length3 532
@@ -22681,114 +53772,125 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��u\���Q�FF#!ltw	LJBۀ�8F���������MIHw	J��dJ�������y���~�?����s}�Ϲvq��	)�\l�.(��P���n o���rs���
����e @ii�; ��2 ���)7@�����w� �To�L�(;��(Ѓ`
���=�$����c�o��H���
-7�!�
����n�� ����(R្�Qv. ��a��A
p�۹( �O�7�a.(�7 �#��o?���C�ߛk�#�`�����|��8#����pqvu��� =
��{�)�_���0���ߩ6�D@�Q�H8@�_!���
�G`� ;�
�+G��.�ܹ_�
�L5�z���/�A�0�ޮ�m�3���{}���9�x�x��ϯ��L
u�!P� �� �FC�I�o��J
� P0� �u�X��s^87�`�&�9Q��+
G!�v[��O�+�w��� *T.ɋ%�?7�@����o:Wf��@������e��B�A�?�$�M�Y$
-��T��ߎ��]<��w��S] ��]�K]���o\B�B��
�.:z�@�?/��S;����1�
@�|k7wg�_��9��J�ܪ�+
�GC��
%0��+�����s�b���E~7�;�� �x"`�ߗxі?.xq��A��w���x��� B �s��b�b II�wQ��pm5�������د(�
}n�דx�����q�P��^p(�Ԥ
T��crmh��z�H1�%��8pu�X3Y���:��̎J�h)W	V�<O�ݞ4=2��� .e�l��f5��kf��4=�W�o��T���{��/�y7��(�<�;c�g3[�O�x�h�
����U����fiȻa!U<���)���°�ԉ��ط�~�a��3;.M�W�r�_$�Y���l���X��Qο�H=G��dI
yT����&ܟ5��2��+�<�d�/FGi-%�}��3���Z�����S�����>���&�È�Y�2S�8E��	�����툴��z��2
*�S�%�]�^���UsaOZw\Z�m���n��[���3�J����I,���"����0 [...]
-�u
x>��ܕ0�u
-��2��G�en�X�9F��z�WB�u���<$}��FKBoěcbR
����x2'ؾ�i�dw����if��+��[{�2�y���,��UP���7��?I!
��D�3�$��Y�pK��އ �G�������я>_�zj��o��B�SQ_<��5���ǃ��w"���ge�n�m1�;~y���b,�ex1���yvp"�'@-8�Uɼ#ʮ�
-�Z��i�«;�ő["��ޕ<�)ߏ�eU9�[V)�euN �0e=�\���SH
7]���v�,d��u@��Q!�N�k���݃uQ�r��Z�'�^u"d���22�vS��R��+:��:�|��D�no�����GC�xv��u��dl�^���kK��m�Ӵ���=�/��P~`�Yd(�����
-�b��|��c�=E��7���Q��g�Rg�;)��N�=���� fB���
(`�*t�e��L�Q
U at P1�+�H�g�V��������:�"ɘZ���.�U�$[G��qm~"z�o`�dDڂI2@��w-�i���ׂ�(*����S"��Q��@q�{�,<й!L�3��Es�1�<nz#J���t���n�v�['�@�;Z����z
���7)�u�q,��5
Ȉ��e�5O��<�R8�[�^.����,�y���x�W��T0��R>�=�jk����tv>�
�"S:z�L
�;���d��'81:�=L�8e<
 a���и�.�U����k�ңZ���-�I
UI*�b�+d�!-cJ7K� s��Ł�k��t�xR����W�!�����5��k�Lfz��g�<+�(�f����_��S*=�Z�z�w
:a���I�]O��*���X���68f�:�v16W%'�+Ԭ>a�A�oF�<\�2�T��5:�����t�\>�<:�f���W�;����XԢ�҅��U��k�7H���Mo��2�Z���>{���Z2���7��d�+
���3���dNj��i^���,��:�hΪy�Z�C�ʥ��9�sp%8A���S��n&5�<gY�PW��Gp�����4#�
�
k\��_y+$ 
��i���
-��<��Hy̠ 0~[+��u�f���{�C��b
-�<Ae��'S����	�H�%����/�^�ܳ�zt����C��)�|
�\9�$�kq6�|c��T���i���+]f��7 at sn]u���"q�%���[�E�����}�L�x�_6�;���K]���v�?��A�ļ禺Ѿ�����������@<�,â˞�NU�,�ߝ� ����$*��/�K���8yI��_��j�Vsv��f�J�4Ҩ8�+
؄����wo`l
%�� :�$6�i!��ȥяAZ���ټ�?\O<Y����PM�O at w�alx�/�	'�u�p��ߦ?�&�9�	1���#��V:��<[n�A���/�ȍ��P� ���2���
�5�V��M�
��rx�����
+x��u\���Q�F�HH�]�!!�m�`0F�������� yS�]��J��dJ�������y���~�?����s}�Ϲvqs�)C]�a�(��P���n o���rs��a`
����d @ii�' ��2 ���)7@���
wt� �To�L�(#ah8��1N0�y0q��a�[ e`���`
󀡽`�[�@  
+�` �0G8�T��$m��+@�_a����
�q.
+��S�M��F�+
+�
��
H��]�7��K������5<}0�g�_>����p��3\�n���
+��QO5��K�


+�D��jc�8D刀D��{h�}`PC8�p #<`��0��"Ν�%AX�PE�LW��3�
�p����mf�Z���A�} V"���Ͽ��u�o��� �P8� � ��h�/���9_��� 8
 
-ƞ��{���n��Kr�R@�K��C��ךs���شi�0կ����
~$Dr��FP
9���W
o[	}�g�=��s��K~����+�-Oǯ{���
����vӯ�2G���ဨSp+�%��
l���^�E�_�`�kd��n�:y��"����=
�PG73f�!�bm�
����=Ee�v�׵�9\��ĥ���1��
�����˝q�ʱ%
-Oȏ\+�@$�>�)��NfV=��K�{sژ���
-�CW���nt�y-�TX0�&�|/9ٷ�a�����c~&�N�I��ʼn
x��\z��9B���}y��n����<����.�<"Kh����7bu��G�0j���ڑnvmT^�/�N���R����{��R�мź<�CwC��Gy6�)���0��dݛ�*��uT��Bg��	�����Qv

2M$(�U^$0v})m�}����}Ȓ���3��Z�G�-��b-�%�\3�Mc��>b�[����I���&��G��h'��2��4������h`%$�$���ђR�z-
T�i���s�
�/|l��j�0Aq�z�ʈ���t�>�������FI<���3'�iA2�{���F�����.�&x�zu�9Up��c�.JBYI�z�

��<����iS:]�Q[Gn[t�lnh�Cc�!�
b�i
}���uN9ak��7�7�_���lh
�>O�����f<��%L�P
a�ϸ3]�~�h�ۙ�r쌹�(�ԃIg>��ĘL�M���Q�~��t���-'��6�e���jm敜�VZ�k!]���'�Qũ�s
Ϯ���3B~8�b��l�47A>ѳv�Pҫ������e�Q�`�.[�i�U������w�B�K=��x̡�S&K�ʁ?��\z/��D��=�؀����LA-�7�Ě�qT �ή���7_��n�/�L,v����@v �r��Ŋ�
��Q�
��P�uq׈6*'�����;�*�A��M{E��ԫ��K_�xt���W�ۮ�;,o
�N8p��I�f�P
	�uV��d�=�+��̈���TFt�����
c�3�}�_o�˾����������7C;���̦��Q���|�G����G������V��t�6�[�h�ʝѳH��������7� �C�Q@<���
6\]���+$�wC�G]���v7ߥ6۩��˳vg^���j4��L�gk�ij���o���b�/�5�	P�Eت
ќ
GS��@ix�
y}��������n;�Z
9
=}�sңZ�.>b�gW��ۯxQ7->��:aq��aJ�W�Ƌ�$��
��E�x ��wWg���*��0�z�aLzY�=��SW��z�� �''�5]3�
��3�E�s���tɰo���ī�
������Q�%�B�žԍ"z���Hpk�qg��7�p�Y<ޅ�o��/,}���do��p��9ř��`��1��ѐ�q�9>�1���uGDa�
��L�}���.P�^@G���踅�7'��t��B���{t��U�z^1��7K���

��! [...]
3�5���
D���{B��*�ĝ
-H8¿�|y��&#���$[�Bt�6���ґ39�; m*Ӿ��G
أ����)��g
-�|����[��#;�b'�{����B�������.�n�b�n!t�
_R�����k���_`��^Z�l�K=�� ��uQ�
��O]���ɉi͹(XD
�j��2��� v�O�~����'U
��'8�Ú�hx#D,ׂe�op�8E
-���[,(W�C��D�>� �r��n&�&�+[c����]�!!������f
��Z:���&� )�����t5�X��ɼ1q��&8}(�>����"t�W�X[��x'=yE�Q��psI�vL 2`P�<nNOq�i��β�S��
-����"�e���V���R�ߩi��Yyi�T�|'%|�{�ꬹ
~��F� ���޻���ߒYMO��Ph��jŷN�vg��.;QVZ��
��b����
-GR���;�Xa�p �6���a�TK�����9�τJS���hd}
�|�H]��;X�e),����o�âUAC�YE\y^z�1�(�5S����eޭk
-�Чӽ�@�K�k�HU�uȶ�mg�O�.,�d�4�<�{"�
���m"Ұ		��6���2��0���n�]����H\�HQ�{��I��]&���{}�A��E�^�>=��
r�[���C%l��5]��?:��P�M�����
+�T�o�S����[�ش�5��9�
],H吂 &��͠���e�޽�sr�Z�ڬ2z)� �>����f܌��G�N�2��Œ��PV��o���G1E9_g�XUneP�g�Yɐ���,���yU>�ZѴ%$�;��C�]Y|���|%r��a%f��O���rg��3���"IO��k֒�K����(���K
7�

�/�y��@I���$���}�}1 ��(�%mF��h�����,|�{���3��بو���EƑ�h$\�~Z��q��\$�C.ӂ�?�]~?��UR�J`;d	�? ��;xc���H��T�Ѱ��)q�|��<3� :�v��ʖ���G���)�X�+��J��$���M}*���B��w
�ѹ�!-�
LC!��"~nl{����섎�μe+�㡤
Ztw�'�s7n�.���|��b-��K�ᶵ�٪g���y-��V�
X�Kj�B38��9b�P��'oP�u�]��uA��F,{�Ts&�fL��!�y�.~��'1�̚f�%U|O���&Q�_8
j�#�R�k@
�6�
���S�
?D�6,6=K.�є��U��F.+r��qBP��1Ǵ�j)uм�d
�+�B!IěOH��(NҲ1�[�n
�t��v��(\T�i&ϗ�.��r�
�K` Od$���� -����i����e8�Kh�G{q������=�<N��c�*RΕ]:�{��I}䯟(ёQ��.p-h�M){S���)u吝��n��e>p�]����	�T�P"��� �C#
o=<��;6kO�

�)2��%��*�l|a>��n�����
Xu�h*���a�x��ɧ���hR��t;$���aI�bc^s#��o�_ 9J�+O�f|�7�+x�b򇯎��~}I���x[B��
-�c��{u�F��f�&��B�ک&�M(s��]-L<(Pћ�AQ�;�a+"����m�?�	��1.������͚endstream
+��|�
�B�b�K ��
\Ѥ?'*v�a(�cw�	Ł�����@�B��E y��"��&��߶��@����`�

�2���R(�/�g���?�DA���۱~#���¸���q�
@����q���1��K�\�#���@좣
+�����8�����C� �η��D"�>��w+�s�ί0�
F�	�.�@�
n��o���+���;����켧�
��~_�E[��h@��	���ߩ����'���M���$%A�f�A��=a�j qII�_Q�'��.̯'�����������|`ҩw�هΩu�����%��T
��k��[�B?<��(
�q矫�8*͠�\%Xe�>a�x���hX�K�{B��٪��j��W��z�+n��B7���&�>�_2x;��8��yO�v�f�!����,^���ˎ�%$-42w"ªyD9���܋#�"���ɉ��7���
3;�͞W��%�Y�7
��h�
��Z��Q���H=G�zȚ<�����]d [.3�Eb�W�e�ie�|���ZZǤ�gb��A�v3����
+~"�_E��g��Q����r�E��I�g����t��|��:.�W��K��F�t;���ž��~Y��9*
+_�x���j J�̊(��v�Oa}�$��
x���	2�>�T�)�2��{�.5vz�yQ������G�˦c�Ì�9��>�Bu�|��������j���u!b�c7T
u�h��z}��h����0{��`��>V�ܒ�6��%0
cC��_(�f��8��P�O���/�Dz�ؘ�x�>Z�d�rE��%>�F�۩�iZ2��n������P� �ʙ��.�z
��
��'�l�0N3���ؕ22����A72[����^���`���Y�.ƴ*��.�kL%�)�_H����Z�v��ӴS�G��K�qC}t�IBR"�;	I�����p�?�k��?�f���w���ul)(�q��9��D8���0Y���_
������c�>�����r%�^W�"�C�O�d�4�%��v�Ϊ��'{��+��T�p'vđ�fF��‹�5����=V�Ŗ�	��8`��:�Q'���L=
+#�kV,�Rx��!��#m��=&y�ϗ�
���[/?S�R4��r�?$���p� �~�VV�%b�i���;�T��/"K��<P�١ɜ� ���6%������je����
+�NH��gn���{W�����ZV��a��]V�pS6P�u�Zg�BXy�*05,t \�a�Mn�jM
+9�n��� �Zm��O�k}�D�VW�eD���X!���Vt��m$��ۉ��ޚW�����\�
�a8�X�w�Mz��n�}���.��� �Ծ������g+բ��
�
�����^㢨��p���ʐ�Fi�oOS����U 3�E��[N�
]�,����:f&�
��* ���F�ړC�����x�].чdL�WҠ��*yRm�u帇7?݇
42�q1"��I�@M�w��?�b���QT��b���� ��&�C�%���
��`dc��gB#����c�qX��%F���|���n�v��`�g;ZN]�u�����7+�w�q.��Ȉ��圵LU�>�Q8�S�^.K���*�y���|�_��T0
+
�R1�=�rk����|v>��"S:z�D
�7���l��'896�=B�<e:
 a���д�!�U��{�g�҃:�����)��V)*�b�+d����J7K��&K�ݯk��t�xS���*x�P�)����ʵ��k�Lvf��w�<��I��jsQ��,k�tz������Vt�N��S�[Tm��
*NDDlp�4�w�a
��JN�W��6~��(�^��y�Ie����jtM
�}��v�|��茛���>L�δbq��J7^�fw�B����/�/��Bڤ[�w6��!�Wk��v�oB��&�+^��M-3�e�d'��ri^���,Ĝ:�hϪ���D�3*���9{�pQ�8A���S�/o���=e]SW�$Fq����~.hA=d=޴
k��FH 8��Ӱ �?Z.y���A-H`�V���
����I��N�ҋi\�U�f�̭��3�&��ٗ��9E_�}l�g���>2YoK�<P>2�8��r�I*׊4�̲_w����8{g�.���k�%��:C�{�HvI)o�y����=
E�as<
���T��R����r]`����4q﹩X:ֿ�߱��|�É�.S1��c\�l�;�ҥ���F㻋
 ��H�r/��!P��t߁+������:��n
WO?t��B�41I#��
��M����iAϖƾHB 5��H�e��ܖ�X�H�eO��ݧ���䓕Αh�I�����$t�>�
��3�$��Ns������v�=!�
+|y8Y�J�^�w�M<�I��%
!#��b5���pZf�����-�U�d�#�����%��'�����(�^F�`%��>�Ҽ�tw�r�<]Kx2��Z�Pp
}��6���%��h�+��H���(�1������m���

�2��v
���w�)������&p���<��Y�*�x7�9�w�J�'X��[9"IUfp�_��r.j�z0_� c|O����%���܉H��z��q

A7[[�P
����)*[����͑��$.�|��K�hͬ
�_�JpV��+YxR~��Z<���Ao٭L2��yf�|ZݛӦL}�_h������{��+	hqe‚A7�{���E��lM�ל
��
��q'�.7�'��eg������=���
��Ϛ-Co�9TD�� b��Gm
��
+��*il��f�A5
���� ��j[����^F��%�l�-��%����h�&0Ew�
���
�R�=�⿎
+\�R9a55{�71ơ�C�� E�ɋǯ/e�s���5�[Qy���M��(Q�U�\�ձ�ƌl�~]� 1��n�uzRۻ�wZ�c����{ُeZ�3U��	g4�!����XI8)V����4Gn��o��6>�E�g���v=zeT�Ul�ݐ�H�uF��S�
�������͌��=�NX�T�
Ui�|
,[��Ւ*��߹H%��$}�Ɓ�k�h
TDHԼ)�)���3�=6f6?��)��O
�ʴ�!�q�:���-m�������64d��<�0���x�5�K�ҩ8�^�e0]��b2ōd�
?c.#J5�bҙOj81%��fs?j�O��N�¿�"�ٮ�,R�:P�ͼ�w�FK|-����rrU��?���*:�#+

�3,1���Ms� zҡ
NyٺҺ1�l<�W��e;ͽ���-����`y�=���Y95�*�ɒo��
�f.����Jw����mj��VUt����SjKڴ*��V;�웈��~7�O%����^K��Hv0�rŵ���
��1�^��P�uq��v* [...]
+-�T�O�(�W�M�o��o�<�*���I0�'��p�m�?��
�R��83�
j
+4"�3�4�#&�8g5ֺ
DF
��1H�H���n�bw�:k?�&,�>�堤k1z��ث;ͯBP?}�����E��Ŀ�����Dؔ�
b��w˶���#IR]$�[�7Y�����������
��L��K�Ox��p���I�b�c�.��|���[6Qu:���[g�
+� �7G��[&��U�^����&��V��(���G���RK�逤#�k!˗g�i2�1��q�c��X�n��T�Y;s�f���e:��h������9nJw�艂!_|����q���Γ���%>���te�ln`����4G�rK����[	
w$�V�����<�"��̧��9�����- at .w]T�W�6�S����
rbZ��"ND��ABهOYA�A��O��
��'Ս�
'8��ڼXXX,ߊuht�<E
+���[
*(�P�C��L�9�$�z��a!�:�+{S����]�a!�V�����
��Z������+�-z� 2��\be�'��A��a�ጆpF
+��>�cm�����!g�ڢ�%q�q�Q��l�%=���w���O�*]s����=���D�/�MoD���vf��BM������z��3�=�A����!��ߐ�L�`Qhk�jŷM��d��.�w��4�M�;z�ő/����~)w
+��^�D�mFףø�4��ca%s8�
��z*�����*D�R��6�o���RD4��5��U����ʄ�癝�xcD�L}�rr�y��)(B
O�����n���T��aۦ�I�*�d]Y�Biy
+�D>;���K�	De`�(�"�)�e����y=���t'Ѹ$���8�2Q�l�#ʡ���C7��
���ξu�?n�
N]��sI�t�;�t�4�C�6��j��{�$S�W�c�N}�RbDk_aS��B��k昻t� �C
+��4v�J'���"X�����-
+H��إ
#���~d? ��7�ab�>�s*�͔*�����^�x�����0�)y��bU��A9�	g#C����t~��U���D3�������ve�=ff���c������#>�V�ȝ=��~���$=!��Ek�.�Z�3wP:���n�:hX��=���~Y�I4���}�
f�O�C��R��E_��jok`��)�՛�O̞bcf��Ggb0	�iy�O�E�rѸN�l+ZL�v�I⻤��J�V�!k���w�!���khٲ2�&�F
+��m�i���,���!̛+[�Ǘz
�����կt*
f��oJ�+6���n'
+�r�q�
E�X��s2
�
�x����Lag9�w���+]ᤝZt�w
f�Zr7m�.���|��j+��O�屵�٦�`���{%��^�\�K�F3���9c�P�
�'�Qu������!=#&�{wU�&f���
���7�U�
�)3kZ��TU�?��&z����UX��
�r�^���3���a� 1:%ۉÄ
#bӳ�Y��3s�3("eE��3N
+��^�2�<Q�#��W}�@�F�PD����%7���nJ�ջS�-[+�
�$���{[�
+$8���m<肟'1�Of����QH�ngi�4����2X?�[h�GGIа��8����?x\Z�ǻT��U�:�A�{�HS��_=R�##�"�_���A4>i��K��S��a�Ct��y��W��w��*'���‰X�6C�Mx|i���n�ح=u:NPd�'�CD�U&���r$0Q�Lc�y�whPp�����×̣���B�G��r<��I/6�qJ֡�+ʚ��β�%�^`ZP(9F�/O�az�?�'t���
/����ڣ.�I�2*�����59E�[���^Ij��]6���e�w�2�@ů��Di

b#VD�?����DFc\�`�
��E)͂endstream
 endobj
-1440 0 obj <<
+1435 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3496 0 R
+/Encoding 3777 0 R
 /FirstChar 0
 /LastChar 111
-/Widths 3497 0 R
-/BaseFont /RMWFNM+CMEX10
-/FontDescriptor 1438 0 R
+/Widths 3778 0 R
+/BaseFont /EPBFVL+CMEX10
+/FontDescriptor 1433 0 R
 >> endobj
-1438 0 obj <<
+1433 0 obj <<
 /Ascent 40
 /CapHeight 0
 /Descent -600
-/FontName /RMWFNM+CMEX10
+/FontName /EPBFVL+CMEX10
 /ItalicAngle 0
 /StemV 47
 /XHeight 431
 /FontBBox [-24 -2960 1454 772]
 /Flags 4
 /CharSet (/parenleftbig/parenrightbig/parenleftBig/parenrightBig/parenleftbigg/parenrightbigg/bracketleftbigg/bracketrightbigg/braceleftbigg/bracerightbigg/parenleftBigg/parenrightBigg/parenlefttp/parenrighttp/bracelefttp/braceleftbt/braceleftmid/parenleftbt/parenrightbt/parenleftex/parenrightex/summationtext/integraltext/summationdisplay/productdisplay/integraldisplay/hatwide/braceleftBig/bracerightBig)
-/FontFile 1439 0 R
+/FontFile 1434 0 R
 >> endobj
-3497 0 obj
+3778 0 obj
 [458 458 0 0 0 0 0 0 0 0 0 0 0 0 0 0 597 597 736 736 528 528 0 0 0 0 750 750 0 0 0 0 792 792 0 0 0 0 0 0 0 0 0 0 0 0 0 0 875 875 0 0 0 0 0 0 889 0 889 0 889 0 0 0 875 875 875 875 0 0 0 0 0 0 0 0 0 0 0 0 1056 0 472 0 0 0 0 0 1444 1278 556 0 0 0 0 0 0 0 556 0 0 0 0 0 0 0 0 0 0 0 667 667 ]
 endobj
-3496 0 obj <<
+3777 0 obj <<
 /Type /Encoding
 /Differences [ 0 /parenleftbig/parenrightbig 2/.notdef 16/parenleftBig/parenrightBig/parenleftbigg/parenrightbigg/bracketleftbigg/bracketrightbigg 22/.notdef 26/braceleftbigg/bracerightbigg 28/.notdef 32/parenleftBigg/parenrightBigg 34/.notdef 48/parenlefttp/parenrighttp 50/.notdef 56/bracelefttp 57/.notdef 58/braceleftbt 59/.notdef 60/braceleftmid 61/.notdef 64/parenleftbt/parenrightbt/parenleftex/parenrightex 68/.notdef 80/summationtext 81/.notdef 82/integraltext 83/.notdef 88/summatio [...]
 >> endobj
-3498 0 obj <<
+3779 0 obj <<
 /Type /Encoding
 /Differences [ 0 /Gamma/Delta/Theta/Lambda/Xi/Pi/Sigma/Upsilon/Phi/Psi/Omega/arrowup/arrowdown/quotesingle/exclamdown/questiondown/dotlessi/dotlessj/grave/acute/caron/breve/macron/ring/cedilla/germandbls/ae/oe/oslash/AE/OE/Oslash/suppress/exclam/quotedblright/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N [...]
 >> endobj
-1220 0 obj <<
+1215 0 obj <<
 /Length1 940
 /Length2 3060
 /Length3 532
-/Length 3709      
-/Filter /FlateDecode
->>
-stream
-x��y<T}��%%c�,)�c_���C"[��^����0fƘA����e_�RƮp)�d
-5��Y+!�~O�\�������u��s�9������>��=
)1
kE}4�
4��H�p%�`�0�6�� �
"%e@�$

g�$�Z ��Q8�O� � \CKU]K�(D
-0�.1
�$@�@�H��� �$OЇ�Bbk<
-�.(�X,`�}�`��D���4E�@
�
��4~��d�_K� я

-������x
���!Ps<�,����#����d,�
����g��M���`/���C �@"���A"�w�Y�g:�Ɛ}~_5%!��>�
��%��1&D[`H(O�
���A
������ 5�:a{���_3��j���H6�~��`�?L�8��`08]H��zr��4#

-���< e5u I$"/@�_�Ԁ`8����@ 
�G�*��$���
-�'B��TC��~/�$
 ����3�"��� �7�a0 ��� �U��/�@1� �������_�.���(����?�߻~�>0��F���6j0�����0�d��P���
-�U�Hq�:}��;�>~
Q�0
�}��fm�݋F��K���	�_�i�v/][i�6� ���Y��兡r�~4+������k�Cڃ���^q����ϰf^D-8:3v䶵��
9C�"�
Y|-�:�ߴ���
\���(��/��W.z����X���S!N�N��v��	�L��ŽÎ�<;4���ϽG�ӏF�"���b�����B`
��I	
}UG�
-����2������h�L�h>i|�����=��^���)�
���q����њ��ק���Ә�B71�e�
x�Js��X�x᳴'�R�2�j|�
-4%��11Xd�tl�Y�;�Zb�o?�J8I�ڭO�vP�����

-2i9LI�˙�4k����V&j0T�z w.к��j���R&���L�=����b6����iK-\�Ql
!$�}[R�
�����%�
�-c�(׼�g�� �9X1���
�SG�E��WE�8���4��3V+�������L�3�p>0��j�(���էӭu{�yWY���Q�gOw�:�؀�rAv!;?��A�ǰ���P�&{tM�H��vTq�\�Xx�r�M��g(bU?ﵠГ��JX�3硵A��
4��Y?��\��}*
��"�����g�a1�9��^���@��
o$|
��>)�Aaf'݌T�IV\�����C\p��k��#O�SJ_�g�w�T�y��¸���B�߭�t�OuQ�����e�
�Oܩ;_e�ąFE����|�q��`\���gT8��_���u�Z~8hq�
��[rO��V�daϥG
�af��2��=���zw��z�v�I�A�=}��	��M��.P�þ���r/�r�u�}þi�W���)Q`�6�.
��E)5���)?�*��uq|A3N��p�+2��ټ;��j	]�/��^O�5v8�7����2c\��u��(-�M�}�*�ltd:c���'n

S�������Ϙ���'�&����Y
?F}l{�
4s�5>��{�l�
�
�o[}
W��[Fl�z3������
���'͐� 
48�D����5hRF�g�֋��׎�gz�T9Irv����
-V��5_�QE�/
T��w�]
-���s
"I��Ƭ;�e�'�S����L���VBlӞ�\v�QWO�%�Ǖ/��Y�Oߩ�(0��YLu?�}��)��09x��B:/%�c%��#O��7*gr��RzmsB����3�u���*�-w
.���
���3��HNTl��Ժu���EΙ]�H�����'s��,��>�+j0x�L�
-�O�*�� �x�~ā��z�e�����9d�vlܹf�����9��u�I�Fl�����z��aVQ�
d@������pc��9w�y�05��:F���k���Y�3�'7!?�sɾ����Y��QW�����

���>�ڨ��vX��!���嫪+A��E�3�ڕ��>��R�X1��O����`�i
%m��R_�m��d�����-$
+{`(��0�l�3~�I��u��E/��U����^�Np�:'ޔV�qa�z?ۮ��<ɛ��=��Pk���A��$� _sv����
*��o�k������}wޝj���ǩ~���q��]JX�=�{7��r����z5���o�3
�ed����)���yȷoK��]8�<����
Y�`��Kq~�Yc�v�r��c'���ބ�����Q�fNM�֊6#�1�}J�����ťb�Q��OgBX؟v�[ܜv��Z
Wָ�Sq�p��MJu�k	�ڡ
N8�x�ګ��N?cq
nDqh��)gD�N����D�M��p(cV����J!?3i�ýR�nUk�iYx4��
-���(W�(�׍�G����p=
Ў���eS~
�0
;Y����. at x�@?��M��E�=�	�B�	>QaXI�H�ӝ���}fzL�������
G���J�<:(=/;稷—0Q��M.Y��=
-��ͱ�C��^_b
�kxc>�J=�>YZ1�"����ؼ/֕��ѯ��YZ%Z]�Pv>�fov|�Wrf���� l-�z�/8C@��\��dX�HZX�,qm�
4�#�,V4�z�$��8�<0v}���Ģ�V��Uɞk��
㹥�g���"�wE"�=r3�\�mq��}��V���je\�
v�
�����Q���0���C�� D�smQx�<��Xwn�`�b. at z�V��\xh�ؑ��R*DT+�?%L|���W(T�zc��gL�Y
-U\��o�����/��*���g��8���E��:_(�4��#�
h[��g������;�a�ֱ��]QOjAϥ`
����F��/��
-o��x�N��i'F>֕�R<�r�E�)���ح��#7�֬Pȏ��ҚF�cj
�����3���	qX{
bitU��r����c�o�	<�}RF�]n�-�ɜ��2CF0�׏�x/M2�]ߌ_N��%�
��A]�'3���ޫ$#žQ���C� Z�N��n6�62qu��Y��s"���
��4ր��}T��U6ލ_��j��������W ��aɈ���
�O�-��h%Ũ>(�&��#Q�n��Zxşw�f
�*�^���j�-I�Ot&콮�f`M����f����t���
KK��
-ˎ�6���vi׼����֙�B:�2�Z��5O�y⍞��r���ܶx���^�?.������
��@x���y]�0�aW(�ǵ�/{Խ�J@�/����vT��ށeg�뺀��I��Ew�����ھ
r)���ez�.
��v���(��݂8)�<v|��o�O���Ԓ�w�<�r��ԝ��X<�ה+l�F�^0
�Ht���u��q�5�1�]:�'D�|�	�&���x#��씫����o3�
/����uD�7c�-��(:
8����G��K�$�O�8��K+ϛ_����F8�|N�%�f.�}����1�֮���a#:�V�}�
u�U����
��
�>k�X!\gzŁ�;x?%��F�
�gp&ܴ�f��!?
��|�i�Q�~���CS�N��T��Fْu�j��O��/��ȯa
-1�_� -�x�חd��K���8�h'��$f�
�Ii1�Ѽ�h���s#+���ټ-���K`�"*A�� D/U����� �|Ӄ

1�#�6s��E���b���f��3a��
�_��DIx$��/��z�endstream
+/Length 3708      
+/Filter /FlateDecode
+>>
+stream
+x��y<T}�Ǒ��\��ݱ/af�"[�%�����0fƘA����e_*����$��B��^	!�=�s]WO���������缿���������q$E-�tQ8W��%*� ����

�aII=� �qX}��ǎ�]�; � ��*j�*� ��
��v� 2z��Eꀮ7H@#X�A� �i
H��!� �"��� ��w���/H�Q�8
@��D�tGc!��n8@�gE����|i� ZHY���b.(�
5���iI�?B�nnH�`�������o4���Hp�x$ �8H��.� �Lg
+��$��W��
��uǀ �g	�k� Qh"�pC`|�u��=�s?"@m���
���5��4�h}	���w���ô��=L�ӄ���'��N3�"q(4�
PRU�����H�h,
+
 � Zd�"G�mh]!n8��HՕ����OR��mfP�?t
�"�&8
@Q� 
����
+ ��U(��Yy��p���
�ľ�� %�� ���{�O�����Ti=���F]F�ߺ�X�	4�Ta0�B�GI"@,�LJN�_솦�@$�:�Cj]��]���ݾ�����i�׻nT�i).|�� ��Z��˜78=���O&%P���(_�npk����V�C�y�VL��'�����?��"f�"��ڣ���#~
��������}�d|�zhg�WH�(�%%>�q�y|6��
����h�����
qH_�ޥ�5����-�XT�������0� ��nl��!Q=����k~��\Fs)�����֌�͖�ӆ�_<���? ����<A�#�;��a��gvs:R*(�	'x�_�D�ɞ'�8''�a��@}.$Y*ͥʛ%OU���E�K��O�$;c)E&yv�*��ͽ�d-{��SG7�u���hH�r���l�ܕY��}�5�)P�����Sz�sV�-�
�iӲ������]M&#-Q	�
�)���
+-��x�OS�?��݌a+Lg�S�ϐ���R�;�[_&(/y�B
�t�f�6�
�:,:��+����
�B�zX,)ooqLHh�|�2}�%�Ι�^ WG�'ٔu�v��q�=%���F�{^�
�w@�s�l�6�$m�GL�C��-lQU��Bgw"
3�E�–����6ރ᫺���ϟ�+b�N
��n��<�zn̺�Z
�L��U^P8!�O܉�.�������~�Qؔ�y"�[`��@�i9v2�v�bv��j�͎/mb+^�ͪO�=4�(~휽�/Q	��9�|��'b�a-�� eh���M��O��Ș>�n�mA�~'
+�,j�Y�5.�p�ӝQ�H:Yx�J�1�a+����QR�~.�	��1�T������i�&���}��=����pD�j�n�Q�!�^�ݳ�yg����sͲ�J���u�~üm�S���.���6��
��D�U��If�s�wkcyg
Y��,�
g䎱z�)��9�\Vc���os�2���U�1�����h����.C�u6*"�!�z�5��5��eR���k���FqԺ��
+'��if�O��Z
o��!���O:s����B^9��鶴a
��`M�	Ukd�6�|�.Y�.��9Z#�7

�>��cx��
味��
*���x̼����Q����7�U�
O�S�ZgBT�z\^��Qr%��z��Z�D�n*Ӊ����_8&��m�BW�SF��c�'r؜�
]�W̪����b���_�~�,�RD!��̉�
~����IA��&��x�����{� AgD������ָF
o>G�p�!ۏe��v�
+_
+
������JJPh��мc���"�||&��-�;���H[�ohC��
%<n"�D��;�k��x�D
�0�`�
��>j��l~p7&�b2=�u�#����Z�D)��{9h���:��~fA�3�_��T��{8����܌+�,m��Z��]Ա���$����׾dW��Z�MN�-	����s��Kjz
_�W�L="�^�[[��u��� ���y�V��
/k��(F��`l��w'�Hq5�cZ[Q�#���Gf��&��;p*�~���

L���*h�����mm��G�k��$e/]�'�,W��]2/�5�ֹ�`��1^/Dw���s'�j��<��T^\��$az��1+dd��6=�j
+w�4��p�s�����4�ɜ��P����,��
94�Z��aG6�Lf+O'�jV#�mg�3����.�
�0��w��
	X��A�;��T�أ
m
���N/5���L�[aw�
�������
J��Y�i��F�oL����o<��ms*[��+��M-��:<(lL=�I5�3sL��od�6���sXܬf0��
nz2j�MpR����6�iaH��'�{��*�tV����6�B"1�
�5��y�����NT4^���G�=,_�[�t���z��{:UJ�����_+�+��Ui8R~v�*�#郿���>��ۖ�˜�b�R���q^!XQػ���E���Mt��d�������#6K-[T`j^f�Ag�7~�6Y�T���s
4
�c�Rf=�F;�U�D�},�Z?�:Q\6�,�9\t|���m��ާ��^Z%X^�XbH�39��#1s���F �Z����#��/Unѭ�'.,G�<�0�/�#I�%
+t8L�(����x�:�����kYD�
>�k8��Q�_�k�ݞpx�᧮[
5MNr'�����:n�Z
����,������.
��������(�)
�����
����S'�k=?�<z4i��
++�
ь�K���
�J[m����0I���3���_�z
�!3^�V{������TP���|Xcg,������y��=,
?�k�s4��:'����X
+���+��8\���"�~?�'��	�VBij2�
+�̗�����߹������2��bjÈ�M���8{�
<;,f�<
�5.k�6]YU�%��ޙ|��M+�[�w�H���e�ӽ�&�pF����l��	�}�I��I%�陋��H������$��
rfoi�5�&�c�}�����tl-�ffH؜�y��E��F*���p//0I��s��-b[��:�<#���G$��c��Ip��%�(�Dk&F�<��$t�"��o��^x×5���U��Zh�̒ �%8����~ۿ�Tus������i�����ka
eFE
1��6��7�nv��Ԛ�@�
�?8�j�8Y<�	��{L��𮅺ns'ڬ��=)�s����
枞Ю�y�
m�$�=�\n�F߬�rK~Q�X/����}��N�
V��k�g;
��WZir�8�>��]8�?Ãg�����H�Y��?0���Q���c_}:��
U��:g���(��_Nٍ^����'_c=�A�N���x[X^mw,{m�,����BTJ��
�iq�ri=g\�ߋ��6sC�j0��J[�WaS�!��bY����]g�=�	X� j|F=���uH�Hq��/�������ϖ��B6�[Z5��ܭE�]��δ ��7RW�ߋA�L˄j���S�
&Gݳ�|K��ꙇwÙ_?�A�
S�F����?1>�.TE�,��,Y�
+�Q�y
�Y�-���#u����V�A
Mn��%i�
+.�"G�?�>�
`5����:!%*�2����<��T�­q�_&w���5�
+ص��W`���">���ҟ�=��{�et�;?�9ڿ�Т��{�|�3��J�������"D�7���{|z�endstream
 endobj
-1221 0 obj <<
+1216 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3498 0 R
+/Encoding 3779 0 R
 /FirstChar 73
 /LastChar 118
-/Widths 3499 0 R
-/BaseFont /DRBUBQ+CMCSC10
-/FontDescriptor 1219 0 R
+/Widths 3780 0 R
+/BaseFont /VONCES+CMCSC10
+/FontDescriptor 1214 0 R
 >> endobj
-1219 0 obj <<
+1214 0 obj <<
 /Ascent 514
 /CapHeight 683
 /Descent 0
-/FontName /DRBUBQ+CMCSC10
+/FontName /VONCES+CMCSC10
 /ItalicAngle 0
 /StemV 72
 /XHeight 431
 /FontBBox [14 -250 1077 750]
 /Flags 4
 /CharSet (/I/M/a/c/d/e/h/i/m/r/s/t/v)
-/FontFile 1220 0 R
+/FontFile 1215 0 R
 >> endobj
-3499 0 obj
+3780 0 obj
 [406 0 0 0 989 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 613 0 591 624 558 0 0 613 302 0 0 0 747 0 0 0 0 602 458 591 0 613 ]
 endobj
-1170 0 obj <<
+1165 0 obj <<
 /Length1 1182
 /Length2 6778
 /Length3 532
@@ -22801,63 +53903,74 @@ q
 �2d���0+kW �
�_I� ){�3��  C\����;�6�u��H������Ђ�@�_C-ypyy�0
W�9�
 �
�˒��+8@�����㿖^C�]�M�����7i	w��XB_����ՠ�^���Oqy7;;5��_�5�-C�av��'n���
 u��Pg��LՇ��

�����窒+�f!�`ep�
-����\�a
PK
���5����w
�`��N������X�@�������9��x:B���3�o�o�3�`��x���}��G-9
�%��
-�'(�8;C<qA�R|�� o^ ����z��8�]� ��
xw��k���B�
�!���� ��r�
�ϱ�؛[�� ������ ����w���
;����0 (�o  ��  ��o���M���&�{w�鯺���@ ��x�
-�� @�?�ޏ�x/l��+��F�{e�?�ޡ�� :���gs��m����6\���Bミ�x�FϿ��0ii��77� ��O�~�y��߉�0'7��,@$"�/��w���������}{�ů`�

-��Z�NO�-ăl��B���r��1�]�R
����kR�yv�IƜ�u�
G���6���{*e@�W�K�uR>߼���S���س>hcX����dt�ڧ�oL?Zu��<�a:]|݌Y���+�M��Q49qs�g�f`i/Œi�=�IB5	����w�� ρO��P8%���n���#H�� �O
)T$
�uAf�R:}N�4P驷�
�n�%Ĉ��I��Ӣ�.o���
x�����.ʢ�&O�2�
��?�m�5�Rd�cF
-��X5�A���n?\��)�}ەn��/O��v
c�W�n_[�қ��5$)�nS^���%.�(~��6�Z�
%? i����D��R
�����ף����ZR�M�}�
-F�l[��C6�b$m̈���ę���rE6�v�f�}E�T��L:�<�����r��X�	��6�E��΄aA���q��a
O�:U�#.������4��T4�xB�|�@��1*sw"q����Y�jT�3�t� ���l�Lӯ�Ak�fR�G(�iU�*��9��O��B�|�G�2�G�v�/
�m?�`4�k5�
-u����
��4� 
-����vډ���Å�҃}�O?5*s��	���mUgT��h
�����M%�GN_���
��
1z8
OǼ�p|t|S(�D2FdG� J*���>9��J9%�%�

L�$�GMe��"ߪa
-E�ΫM������{��C"ޏ���p������1V� �տ�
�=4���hȂ�%��eoa
�օ���ʫ��*�8
��"S�S;�X�D��"l�◊~1���6a��ҽn��,������i�a����e)���{�Vb��Pc��toD�N�枨ړ�µ��7�A�^�c�#�k,Ywa�=J7E�@n"�h.zK#�S
h�ࢾ(�gF
�R�
0'R��T��*��
�[R�躤7�9��LT�C��Z�|��9b�tA�&G�*���L�Ѝ�qGdWi�2<2�N�L'I�B|�G�yJ\Ɏ�8�4��H��BŃO�9-�!6k~����W���
�������wy�
�:��9͌�:�Q��k��[r��xM��|��sd4(9�Xm��I����|�[�(���՝
R^[�����6^k#k%,�%����^m_O�����2v�����IL^*qQ>�2�su�ޠxݩ����?���&��]�8�o���A�
�|'��V=_�
FĪ`�(C����L�]M
�pOd��7�6k�n��ء/f�+km��f��pރw��� �A��
���zD�}���ع�~cso��npL��z3�!��J9s�^�E
~��y\,���H�>x�g��O���X�H�:<fc
���"(�;����?
KIVm�p�~)�n���nCV[(;JԒ=��PaJQ	k���ng��
���׍ߜG�BH���%S%�m?}c��1�hoׁ�2�u,�wk?�VY-<5�RNK�OiXʲ��q|�r\��0���9�������~�����`�]���K��P�&VP�7L��L�O��&�|��'X���
��
�?�H��G�
(���q���^�(٣$�>
�o��'
���9B�)D��=�%�L$�ό&�h�5�i�5���7�$\OfS�5��\j���
3�h�ΰHm�
{F�
�G\U�,�l���fR�
Y��<�w�K��!ğ)%l��7IR
wj�go(
�k�=�([v?��$����s˺�xkxQ�� �����U��NF[�o8��C9��ܭ�cy�ܽ�
gBо�*�v��ďpߖ��C�]T���X�{�F��I%VK��ɨk�l
S�i*�_l<�d�L�n
��S&���+�:��b20�,��\�J81��6�Z�g(b,X�e���f����
��n^R�L�W��B�ӄIH�Ƀ����Jо�V? 	�
��ܨ)�t�޻s��Z8
!ud��:ly���+3���lήG�RQ!h�9�&Z�ǂ������%j=e��Ù��TP,���L讴���v�z���e�j��I
�a����.@? wD�$��ң����h�
g��)�d���懙��%O��B��6(��S�����Jڞ
�l	�Z����Y�_�Fqa��瑤���9	�/E��>�

�(��~.(&���qJ\.͒��Y)�1�y��Fl�����~M�!n���ϫ<n��Pz�mB��-�
��O��H}�&�Y�La��aO/�B,-I�XC�P;+�G<���w�O��`����ĺ�k]Ty-��tEMeTHO�$|���Js^I�i�K/\�q#�	�J��
�o㳮j��o|�`�:���R�>G|^����Z��)��91��O�e�QT+?
6��2X�VQ�ƿ�Q������h�PQ6��7�&�
-خA]-�W���B`s
��K�ˋ.�+Z�G
x0�R�E�kr�+��P����a����˨��cq��RǬ9Ɯ�7��#��蒦���
����R��?4
����dǂH���;�-�yC7NZ��C��p�(ͫRyw�p�e%
�a��p ��a���]2s�_��IR���G?����
}��Mi_&��hOQ,�b�koC����.!-�T��CmŤ�#B�
-��l�ޤ����X ,p�a�s�"�.� A�7T6@��:
z�7z�5O��U�
�Ϧ������/-b
�wAF#ilY�i}�
�<�T%�پ
#
v*/j����ƨL.y��W�����FO�I{K�kPJ$���֓��Cxg`��Đ}�
��..��[kj{��I��@�s�ݶ��f�q㛟V��˷�0a{��
�� ��-�G*S���N���;

,
��N�����W��!4.b\�U�䰫��џU�ܩ�"��~�S�sz���}��'�&�N&��LFFF'9��q��w�[x4t����
�
�M
-g$O�ѲC6ADeF]�j[��7e�{��o$UҌ�RG�a�ؑ?�c�e���Y��^
����܎tK�.?��x�xi����O�t�5�*NCY� '���
!!�b������l�*����q�a��������q�� b��8��4���Q(�L��n+u�^O
Z�T���1<;@�5�|�§�Q��%�z���Eܛ鵲v�JT�>�w�D(�g|�$���T����=Rl��O�U%S
'"�ݎ��
/G�s5�2
����;@jk�(��E
����I
x@�[Ҧ|���D����Η�}̤������}D��� "����.�]�S<1*��"�~��F���Z+�yd�'$�~枖I����O�/D��@�O돖4��;�D�M��u��!������v��Sx����W���-t��0\(�%:
�K���Pu��ݻP%�`
�aʔ6?{���d}H
n
�ɃA
�>]��\��\�Dԯ�7Q���l��N��
��$(���1[�$���R��h���No-�q��>�YA
�O"�v��׋���д�踑D�@5�͔��_eT�qw\i��k:�M�Ӂ�΄����c�ZW�u�DJ�t����g+���P�+��Y]�SMXy�
)w��u��m���6����L|k��E�鍙��h�oR�Q�����*Y�u�sA��3�fN:�1�-%�&J_�w�a,1�b�]�N��6-��x-w��Y��V�G������I֝2%CVd]FUc!b�q3W�r�����㧋�I�&�~��Ht�1
�}~Ub6�o
�x�ۡ"�I�A��B�
��
�Y��i5w
b���=�GY�(8��
W�XI�B��IQ"E;I��Q��dC��ћ�i�xR	�ΓRg��P*���Ӽ�u�����
6]�cr"��y
m���j����.�S�F}^靴�*��l8����
E=�;+嗡W�;
���1��V�8-W�����4��
��Z�HڮL���_�G�q���#v���$
�I	c>g��
-��7�,V8��*�Ss
6�����t&IF���#'W���C%;�;�*nN�n�u_[,U"
-D��b���NW�
-����mno=��y��@_��
�_f-wm�A at O����xH����+2���ӑ�3�b��O؞M����G"v�U��W�ؾs���ȯirɤS���D�r$��b_V&)%����#T��T�+�3��q��*��n��ъ��Q
-��z[���	�L�3O�%)'�����P���
j��Th
����Q�X����\Ss�m\�t��S�\6x9�6٣������ε��ȗ�^��``�:vW�(tl�~2�U��������}��i,sS䂆�Ԥ~ f�iѵ�+�N��Phޞ��@t;����ZH7��}
8��@U1�Y%��ύ)	����.{��<�AucΊ	)�^?�DiJ�9�9��.J�Tj0ށ�Al[���ޚ�|.� Þ�E�T
�lt���
3�%�D�r
P����\2�#^nϫ�s���?��}�.G�����n;��b"�4�pP�v��J�ӑ�H�����X�t�iTk�ݺ�(a�/�W�ӟ���h���L��"�Jn~;�"F�Ӟ
\�H�%�)�Ӎwj���5 )�IeKk���o\b�kVD5ߒ��㫫g�V�mܵ�0\
�y{�U�%
T��W�
����S����!�#�	IN�8�,2 ?,�WN�Y��b��L���_EB�&٫�\��x<�}r��s����Zg^��iv�=�{��X��@��«`�����S�I��t]��
-��Z
-"=�@\��?�ò���t��&Br�p%���!�|'ġ�}�+(�'m����WB]k˂���

kX<4�.���eh,�R�j	 �,�_���WVğx�jUѐ�?M)�5�������>��SK�1�N5[| �h�v2x�*��������>q�>�y�}m͚B��K��~yGn�3�
W�I�dT�L3I�;
��1	k���]���
j���.���U8�-Us8���H;�u�ӊ*���|�'6��LU�ܱ�$j�� |
-犥%8w�=�*i"
���1ڝ��g
�C�2eˀ;��7�����Ӣ�
-�2�*��е1a]}�/�u��g�֋�;�&�|���v�p�5���(��a+Erx�	�|��|��3��´m���^�?�M
�������,��Q��g&�t�<"�z�Aafp\��.�����"��b��9w�h^k*�)O��=��@c6,cL}%��dmIM'��>�k�}�[�_<GP�X�c
��^d�O8�`b
-�A�4���|[#��8G��/�\r�W�t!%g�Y����h�D��U��xQ���ϭO5}�L���F$���}
�|��P@�
-�#ty��.�&&��6�%]�{[���$�ؤ
�މ�nb��_gj����+
�k����e
C����
9]��7L��T���?��M�
vd�i�J_�~{�.�#��\�($�փ��m�W�	w�pFAg
-�����Â��#}+��xA��3O����뺍��g���U��m��8�b����<�$]X/�I⒐&���d83Re
��%�?�
ԩy�)w�0F(R��Rp.�e ����ћ8�Q{L�|<�u�C�D�`t�/~�G��+��Ay��c�3�SG�N6߇g��k���Eu���a�[?<���U��U���r2l�|ǜ7���W�=�R��uW��W��I�)������ǃ��t
�t�ܾ��@�<v|��}�^��C=�]�1t
0M����eDM�Ӣ�n��^QU�5^�lmG�˽f5����C@)���S��w')LXO�
ĆI�7=���"��DGb�
�9Ә*���
wN��E�+Bⷚd
(��ѫ��y^{�t���Lȱ_�Q�����XQ
�
 �#�
k
�^ά�3
�
?��f�N�O:I1�
�1�����GC���&�1��a� >#G���ݪ��5�	ʳ	���{P7�V��b̈$p����@Ť��J�p+I%Y��qb�
b(�n�z�c��v�`G��W�D�FMa�x�\zWb��/���9���D��
-ښ�9�
��t�\��_�Ӣ�?b���V5�Y`��{T�s����[P��x��k�j����ֲB:{D������=O����SnCzD�
-q�K‡���85r�ԭ+�u
�#c�9�1�['��^�nόX��p�� �;d=��b�Er~R�;�\�\��c,�g��ǃo�1�
�gJ��M��m��62���S����^����U�ޡ5Ǘ�~+�������ʅ}��W��z6�^S8�jKC��07�e~B��Ը�1
�S��î�U��`n/����@
�
�V��'+�ƸP��F�ZX'��З"��`	�xW�kդ5���v�<Gk
e�W
Ԫ,����� k=7�>���@��t������Q�Wr��;��/�ɲv��q�~�=J:m��}QT��)k2�{�Z�*e�яh.�Z1��
X��&�f���z�O)��R6�I���U�L| �j��<�K(��X{ m���S�b�: :�-�0�� Ф�_7�lxt�)Ї3Iu	���HZ�#���Lu�͖���Wm��[C}��)�46�I�
E�4��/t�g��m��⥙k�\�i=�4���G���gV!�`�R�g
 �є^�0������w>� ��d$����{�ݿV��)�՚}pb�p��`�d24�	'�_2
n-h�U #MV>3z��狼ѫ��<Q�J�x��Iԓ$�o>]��.]���u����XW��u��>�(G��ƍ�Y|�}CMڭ
�Q�A)�.I/���a���㗷E�l��������/�jc�j��G�����φ�>W�����
�5�����ꂇ�
✠����GX�A!ήp{��-��a
6endstream
+����\�a
PK
���5����w
�`��N����������,�?��{Msp��t�@���f��|�"g�����'޿��2��ZrpK���OP qv�x���޼ ��%� ��7
�q���o�7��
+���T���9ZC�
+� ���;�w�c�7��#� ڻ�E@
������=.v��a P��$,  *�&A P��$r/����
�M�����_u;� @�?�^�
+�6��?�^���W�������C�?� t�������p��m������#�}!�?𾍞��a��pon> 7������(,���u
`NnP%Y� HD�_��洞��3����_�����_��/<������[��$ׅ���
c��Х�7פ���,���9��@����m`%D��Tʀ�����|�yk������g}��>��16E���n'�Oߘ~��X�y0�t����Bu�W8�z/�hr��������4^�%��{\�
�jTos1��rW����4�pJz;M�>?b;G�*�F�(<4R�H:`+��Υt��ji��So	9�ݐK���� ǧEc]޼�������]�E
�rM��0e�9��#~�\ےk����nj�#��j(�,9q�~���S���+�
.�3^����<Ƽ�Tݾ��q�7�*kHR$ݦ�N5|KK\4�Q���m��J~ �\a;B����H
)t�c�Gm
��������ٶ:)�l~�Hژ�	��\�3o���l6���$�����
�t�yy�����G��m6��7
+�	1‚n���V����,t��oG\����c�iLq�h�!�R� ���cT��D��ս��ը�g����q7�,��_���jͤȏPLӪ&LU>%s4�o���
�n���e��r�_
<��~��h<�j���ӵ9�=�i�Ah{��)��
I��L�~jT�L7*�'�۪Ψ���:�I
/��Jꏜ���)N/2��=b�p�*�yY�����P��d��&�B' �T
�_�}rb-�rJ�#J@=8� �Id���
,
�E�U��T�W�F=�/&3��24�D��,y��8���c"��A�y9�{h08E�ѐ�KX����:n�
��1�)	�WgiU�%p<2�E�^7�v.�$�*�E���/�b
��mž��{�D�Y���C�!�5�n�&G���RtG��,���
���d���(�R�6�!�=Q�'/�ko�6�6�0G��X���
+{�n�
��D��\(�F���^�E}Q:�6����/`N�N���Uv�̷��7�uIo~s[������4�l�s�
N�hM��U�͙����Ȯ�zexdĝ\�N���|��󔸒
Aqji�7��H�F����rZbCl��z7=�����"(D#x
3ŗ���r+8�u�+s��u�
%�h]��?��F
�(��[���hPr
���	���#c���Qh��;���z
[7]m��F�JX8K2�]
^�ھ�2�;�e�$�o��.��T�
|v#d(�ꦽA�S=?7��H�%M ��dq��֥�%�6;��N��z����U��Q���72W�ػ�<
/��XS�0n,m�p���
*�C_��W��,Ru�"��烈�ȃV�9������S�s����ެ���$��ftC�[�r挽��:
� 
��X*���|��Q�&.0�����Bux��ڭ�EPtw鍑���ھ�&�R�q�(�݆��Pv��%{DS�”�ք�a���һ3�����9�J��X7��K*2
�J�~��0��ct�ޮ�e\�X���~���ZxjR���֟Ұ�ey�������a��+�ms��IUw!]��7��
���4�=�t�
�
XM��
zo���	љv�6$M���
�O�™�=V{=
~��׏P�;�$E��'��Q�GI}*<N�
µO<2)�s��[S�j�{
K��H&�M���k�Ӏj*
ioFI��̦�k���

��f�5��a�$�n=���9p���>Y��@
+�ͤ2=�"y&����w�=gC�?SJ�pco��8�Ԣ��Pj��{�Q&��~��I4Y���u����CA$%���6#�����p,?�r
++�[k���{΄�}OU��bщ�-
���/����������%�J���ɓQ�F�8�
+��T|��xd�4�Z�885�3�L�Q�WNu>�'�d`�Y�V�pb��m��F�P�X�2��?7��N����

+�ݼ��V/�
tE�b�	��Ɠ)���ו�}ͭ~@�8ѹQSp颽w�F�	�p02B����u��>5K�Vf���1؜]��A���B��s�M�\�K-�I]�K�z���3'\���X6q��]iEu�`���1�� �֓'�<�úџ�]�~ ��IJϥG�57eњ���S>z�(
I�3��K�<���?mP(m�Z3Eޕ�=;���b{5˳R���(��#(��#I5��sN_�6�}6�=  ,�QHc�\P
LZ5h�?┸\�%���R�c���Ӎ��ݯ���
Cܘ�)T�Wy4ܠ�E)��ۄ��[�ع-� ���.M�ܙ��Y�2"�^d�XZ�
��<�vVX�x����<��m���C�sv�u�׺��Z(`�銚ʨ��
+�I��M����
���l�^��-�F�>�� -��g]�l������u�!���p}�
��HE�1���S�sbV������V~
8l8ie�n
���ǣ��3�#A�ơ�2lxgo�L�]��Z�Q�c/,���,:����]~W�"�8�`��*����Wfȡ��
��0j{!<�Q��淥�Ys�9Y-nt[G��%M	Y9
�
?
�T�h��{qɎ�>E�wt[��n�����>!�nQ�W�����|�J8��A�@R������d�2 �]	���#.�~DG����ҾLx%ў�Xtŀ�ކ��1]BZ
+��ɇ
+ڊIG��:�%7�L�I1C1�?�@X�,��k�E�]�A�o�l�ԣu�Vo>�k��
��9
�M
���#���_Z�<F�ز���&|yP�Jس}F><�T^�.4�����Q�\򞗯&5y3]!������֠�Hv���'瓇 ���&ω!��=��I]\�w����̫��G����D�mIc���7?�d�o%X`��t�Q<�A��[x�T��睝D��w:X<�e

�~CQ�NuCh\ĸʫ �aW"x%�?�̹S3EN-������
+�Xs���g5OMx�LX/:����N.r�
�$5�l��h��
���B��H���e%�l��ʌ�Zն@mo��_�&��H�4�륎N���#��P˔���v߽2��
�(]~L����<�E�ɟ��k�U�����A!N4��/�;B
Br�ϻ1��=�^U���)�,���/�4--���
+N�A�
D�q�i at M�1�P&����V�.��<��DAmcxv�4k(���OݣV�K�x5�-�)��7�ke툕�<}H�l�PV��4IZ���d�/l{&��^U%���J�ND��
cq=^.�6��^�
j4e:2OAuw��ֺQ&�#��80�
��@��M��������/g��I-��%|	&%��`�ADNs%w]R�V�xbT�QE*��ཌྷv��V��OH��0�=-�
+CMS��_����2�,�-i��w��!�DY��QC(�%�9׍���
+ŧ����㯎ճ[���a�P
�Kt��V�����w�J�HÔ)m~�<_�����>d���}�X��^����_'Lo�����0�
����IP�?�5*bc
�vI��ػ�*��K7���Z���C}����
�DX�&���u�i�q#�
�jJ�)gÿʨ6
����b��t�����	W��w�ǖ��<�&���N���7�V<��[�:W~����
����R�"l��V�-2�LE3mt����֢��P�3/M�ߤr�

I��U
�J��4���egx͜t�c
+[J�YM���N�Xb���Z����mZ4!�Z�T
��mgխF��%`;eɓ�;eJ��Ⱥ���Bĺ�f���J����O���M���ۑ�c8x�
+���l��,8
�̷CE"V����q��+9���"���j�8�V!�{h-��&QpZ9�����6/��
+6D�v������Ɇ�ɣ7��n�L�'��މ�T����y�T��
"Cl�*��D���
+8�f���4��]�]*������;i�#U���p��5s�z�}wV�/C��ew:H�9�cJU��KqZ�>U%i��;.d5����]�0Ga�������F�;�I$���|�~-�io<Y�p9Uܧ�l@!qc��L��
&'�FN��e�Jv�w
�Uܜ��뾶X�D�&��0����d�ٱ+���zz��߁�K9h��Z�ڠ5���
�7�C�6�6}�wWd
\+05f�#Gg��p�D��=�NI�Ϗ"D�������}斵�_��I��ɳ
�,�H*�#ž�LRJ
z�эG���
+Wg=�r�KU����գ�)��2��zor�g4�pKRN�x!��:5��\	������2�>��˹��>۸.�|��6�l�r�m�G��e���k-&��/Y���
u쮤Q��
+��dƫ6`C��7Fy3�H��X���
��I�@�Ӣk�5Vh��u�м=u�!��v�a3L)ҵ6�n��pH�/��b��Jd�#�S�u1�
��]�t
y
��ƜR��~��2Ҕ4s�s(#]����`�a�ض4��5��\�A
+�=�%{��
���:å9f>K����<���˹d.G�ܞWU�������]�L}��O��v���Dzi���_��S���#W/�r��ŕ�&���
Ҩ�»u9Q�4_`�0�?Wo�)�T���(^_E&���v�E���=���K
+6S���Fc�k R
�ʖ��ǡ߸ĺ׬�j�%��WW�ڭ�ڸka�����4K8��/��&bXM=�X�7#�C6G����q�Yd ~X <��<�Ч�
+b�
�*;7j����M�W����x���F�P뿙�μ
�)���

+X{�
+����5�����W�&)���8�8麀?X��Dz*���F'L�e)���H?M����
JD��C
�N�CA�2WP�O�63{�g���,֖�5t�=>ְxh�],
c	>��X����@
�Y�0I�/���?��ժ�!=�R at k(Jwy�	ĝ}Vӧ��"b,�j��@$	�

�d�6 at Um+�;<-��}�`}����ښ5��×0E��.ܲg>>�̓zɨx!�f�wg%b�&��rY�;Ԗ3 �]���p�[��p��7�v�\�U�����Ol����>�c�I�>�78A��KKp�p{hU�D4<��c	:3b�;w�7?��
�0eʖw,_o��#2SQ�EI�%d�Uu�kcº�*F_����^5�%�w�M���)X�v��k$�7`YQ���V���(�
�
���~egfDži�
ŋ����<v!���YL��`��L��
+yD�� ������]p�"�
�E8M��Qs�Ѽ�(T$S�*��{�C��0lXƘ
�J?�ڒ�N�}\���ҷ
�x�����8N����
j�pv�����i䃅��F6�q�j	_.��,
�d?�BJΦ���]#�؉���Q��ǟ[�j&�4�4��
�H/	�"
0��`��&�kNG��^?]dML*L�m�1K����8��I6�I
�S��Xo���J]��Wr��%
+R��:�b�
�2r���o����W{F�>,����ӆ-���
��1\jG�W���QH��q�Ư��ጂ�^�	#�Շ��G�V"�`Qg���	ޏ�u),��
+E�ĩ� aq<-���Y�y$*)H��^���%!L�ɿ�
pf��83K�>=�S�S�x+`�P��
��\`�@
_��7q0
�����x�9떇�����F_�
�ԍWG�&�p!�(gR����l ��c�}C��\5TÄ�~xxӫ�«����dج��9o��g˯b{���cIE뮠��4ʍ��S����-��y{���
+�}'�y�zy��~�+�.��
��zD��c�`�*i�ˈ���E�݆%.����Ik���ڎ��{�ji�LJ�R>���*-�NR�����
��oz(�
E.��>�2Tps�1U:
V9���s���|W��o5�<P(��W'������g��c#�(f� _)1���=@G0;����Yeg<x;~��^�P�t�bp;�c0ܟ�;W��L��M <c"�<A|F6�Z魻UE�k��gR�/�#��ṋ�kE�ŘI�R!?����II����V�J�(����k7�P��7��
��.��t�"�������'�$B1����_N�su��)?�5s�;&���¹�1�ԧE�����j6��f���X�v�7���,7���מ�l/!խe�t��v�)
w��{���������#��_��qj�*�[WB�:
L5F�\s"23b$�N�ŽFݞ	����|O*�w�z����7����"w�X�ҽ�X��&O�ߖc6�=2ϔ�'�-���چ	�/ld:i�q� �P��&N_ϫ�Ck�/_�V�
 h�[���
��ï">���l�G��p�Ֆ���an4���,��q!c��l��]C5�����^1 [...]
+_��e�����{�t&�F�����y�S�d,��D��1T���\�-�b\
"�d#M���DZ�
�R�/
�l�X	��6��@p�:]y��PbW�� �2���H��u tf[xa%A�I
�n��6��S�g��/��
+GfS?����-�QM����3���r�S"il�%�
+=��ip�_���� �)�n��K3�
���zRi
�
�5�BO�ϬB���'���:@��)��a4
O]-F?�|:A���HZ�
�$��"�S�q/0�5/�.����s+�|�dh$Nʿd:�Z��@F��|f�:}1�y�W��y,�R��e��'I\�|�g]>�\���7�7J��(ʫ�H�}<Q���)���R����[=��;�R6]�^���z��/o��ٜ��)5
+�
j{_�ƺ�&
���0���ݟ
y}
�d
BkX1C+2s�#:�9A����
+�����B�]��g[����

endstream
 endobj
-1171 0 obj <<
+1166 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3488 0 R
+/Encoding 3769 0 R
 /FirstChar 11
 /LastChar 121
-/Widths 3500 0 R
-/BaseFont /WGMSYK+CMMI8
-/FontDescriptor 1169 0 R
+/Widths 3781 0 R
+/BaseFont /ISCZLD+CMMI8
+/FontDescriptor 1164 0 R
 >> endobj
-1169 0 obj <<
+1164 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /WGMSYK+CMMI8
+/FontName /ISCZLD+CMMI8
 /ItalicAngle -14
 /StemV 78
 /XHeight 431
 /FontBBox [-24 -250 1110 750]
 /Flags 4
 /CharSet (/alpha/theta/lambda/mu/comma/slash/C/J/K/R/Y/b/c/d/i/j/k/l/m/n/p/q/r/s/t/w/x/y)
-/FontFile 1170 0 R
+/FontFile 1165 0 R
 >> endobj
-3500 0 obj
+3781 0 obj
 [682 0 0 0 0 0 0 496 0 0 620 639 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 295 0 531 0 0 0 0 0 757 0 0 0 0 0 0 580 896 0 0 0 0 0 0 800 0 0 0 0 0 0 616 0 0 0 0 0 0 0 0 455 460 547 0 0 0 0 362 430 553 317 940 645 0 535 474 479 491 384 0 0 762 598 525 ]
 endobj
-1015 0 obj <<
+1010 0 obj <<
 /Length1 2012
 /Length2 1610
 /Length3 532
-/Length 2860      
+/Length 2859      
 /Filter /FlateDecode
 >>
 stream
@@ -22867,48 +53980,45 @@ x
 3���d�@�	7 )�*��o �́Y6
�G��0�	.�V�6+ QB��
&��%`�"
�jx�
L�j���J7�镨
ě,A�D# A8䵤% �	�'@J��
�R�<�#����Z�a י���HM@
K�˓����I�
`Z�J\�)!9Ԛ��Ր"
=*7�= ����p�p¢�,�P�	G@[R��]4	�`�4:5�ʠ?TH ZX-P��'�@N _
mV���D".
���\�
�DH��"��*D(�'�li#
,Z�"$���
�af�00�
(�$fX�bIP/+Yg��ҧ�a�B[xm��� �Ɂ'=@2���!q3!���w4���e[��3�E4�ze
 �(� :����$"��`�<II�8
 (4�p�k�8��X�t�[���qڍ�j�U���)�0���`�voZЭ�-����݉�
ju��T���3
D��M���n1
�@ [Π��'��V�c	�aFT��R%�#j=ڱ.17�Ӣp�a�����ӻm�9$UiQ����

-v
^�%d7�7K�����lG p�M���������(#�M���Lh�;�b�
��J�T���d� s��(tH�d�@
-��
5��Ҩ���

"d���)�C'�
~���kƾ����}��f�߅}�Ï.�0c�'�4c�'�e�^�����OX��
xa
��0?���T��
(`���~�Ƽ*5|Z�f�[�(jD����qi�7	�?,ٝ��vi�5�Ok���7�<u8m#&K��"G*��[�,?=Xu�i�4`�Q<�۰����

-K���Z��UJ�!lZ�����q��Ӊ3��i�=gv)Q�a�h���G���˓=
-��v�m��������y�����B�V��I�
�Z�ʽ������`�AH �kE��~NH�]ƦC�o����g^��>*��VDS���������I	wO{��l��
V'���XWD�Wb:Q�V6s(b�MK߭L���iپW744,Ko_ ����wCLA��q�KQ�A��M9�F�FV�
����*p�C�Ѳ���)Dg��G]%�F��N
`�'dMh�y͘3dR�΢G
�*؃rYb֊^�{'s��I�ߎ�
*V<^�&��M��
�&V=zf31��J0mX��~1k�����#�
Ic��k�^��ub�C{����>3Li�}����C.�SLַ��(b�6�US5^�=' #q��myЅ���lo뙇\��uHZ�����XD�<�a����c�
!ԗ�%Z�]��q�P��N)�c�eVz���|u�t��1}m)�~����yڼ�[/��l�c^�����"��R~����	eyUV
���g)'c����JAK����׈�;�am��F}��sΫ���L,ް���4�98���u7�=���Z�zr�o��)��O��M3���4���ws����
=������t�a�[+|��Qk�p})2e�@勯��F��C�O9�oy�
�ܢ��˕��q)
�@Er�Մ���v��o=�R�8���S�}J�5��0[���m��n|9{���imdU9��s���U�:������d�Me��IW9�}�}W�������49��
�X���v�=�����4���p�����l[�;eׄ��{���,�Kp�Q�� [...]
���Y
�<��$�g+�A�ʼn�bj
i��Wb\�m���0U�mqd�
�ݜR;�mS���=
-m��e��Hl�k����p=���`���Lg���G�����|#��ͪ��2r�\	+�z��{��҄QW6�>�;'D8�x��'��w�����eLB������.�����-������ۗ��:��mפ����6e��e�~n�ۡLɵ�QX�:��2�a=+6v���8�f��ip�~���[T�`Y�
�=eM�g'o	0y�;����HZ-��Hm��MkӘf�����T/�EIT��7�#��
���
-���l�K5��Nr^v7����Ӝ
3
}��u�E��|�ڍ�H^/UC�6V���v�K��e�+�N�gm������M#C=j�j���t��vK��
�m�5.��`�������.�cр��2F���V� ��.q�.޵'=�6�'�ﲌ��-����j� rƺ���{0H���w㋾���
���zα�G]i��+���\=����Y��I˛�﬙Җ�Z������͕������/�\;vNnjh�f�̽��^�7����5��W�����=ݼ��n�
�S�Ks�M�����ݲVn�f���a���g<��t�st�Mx����|ȓ�W��6�Z���rz�0�r_?m�{��%W�4��v���v��O{�
�^��ic��2	�n�wt�KD��svN�R��tL������^�c�
�7F��l�̹	R?��^�
�$ܯyO܅�l%���BS�D+��/��{I�/�(�'�� ����Q\�*�?�p��endstream
+v
^�%d_�E�ܻ^���B�I���ނ�� �
e��T:�	
��Sl��xZ)�*���,`n���,Ha�~��F��X�t�C�L5�9Ŝt�D���؁}����3c�O�ߌ���
b�хf����f������˂?���@ܘ�	kՓ�/������ߛJ�X��O,�?�ژW���oBK9ìtb�[E���r�:.
�&!��%��x�.��i-����'��m�d�"V^�H��q뽒��.;M��u ��|�3�u�CaI֖�Q+�J�7D�M������>��:q�_6-���.%�7,�q�����~y�G�1�N�����~�p�X�4��=�]�ڊq6	��V
^��޽��
l?	Dw�h���	i���t���3"Ӵ���S�G9ފ�`��Q��?��|7=)��	AbZ������D�wt��(�JL'����fE��i黕�
7-��ꆆ�e��
��S�n�)56q)�;h5�)��Ȃ�Ȫ�!1�Y[�}(SC#Z��^<������D}�HZ��l���	�4�s�L��Y�ha]{P.K�Z��~�d�<��ۑ�AŊ�
ڄ������c�ĪG�l&z\	�
K��/fM�w�_�T}d~!i�Z}����9�N
sh/st\�g�)M��� Zy�e{���v�
E�ֆ�j��
��d$��-��X[��m=��S�Ik�y������G>�Q<�zL}!���D+��8���)�u̼��J�������;:��-��ϗ�v�/O���}녚}��B~�K4x�_�4]�/���8�,���r��,�dl�<ZX)h��T���uG>���Ш/�y�y���{�����?��;��_��ư�\՝]�]ON��>1�1�i����i��1���5��n�

^��'z����ߜN<
\uk�/�>j-�/E�
��|���h�rH�)��-�#�[����9.�a�H.�����b����gZ
+�^{{�O��&�fK=x���ۍ/g��68�탬*'=�_Ӿ*_�Rӓ;`��������Lu9�*�����Z�1�t����&'��!>�_pҎ?B�GT�t�ƕ��W����mK���<y��Bߔq	N?*����nf[�:��
oKX�ٻ�Ԣ�;��g>@�D�lE3ȝ��81QL�#�W�J�˶-}�\�ʰ-���!��Sj'�m�6߾G��\�
��p�����Ƕ���[���������_�odT�YU8]Fn�+a%To�}o�\U�0���'{�'����^ ��U?5��I(|;�_���B����ۜ��z���S'w����sc�|�Ն�������Mx;T�)�6�/
+�T�_Vf>�g�Ʈ��g�lP0M���/�[{��
,˾ᰧ�)����-&�}Gw<�
I���
��2�imӌ�^�~�ꅻ(���q�u�a�r�A�r����s����I����
q=|�sa���
�.��0�o]����j��J�0��~Iu|��vE�������Y�XC�iDr�GMQ��75����n�}��a��͵�����q�_<
~֥p,��]�虛�J
�1��%��Ż��g�f����]��4���}p�^WmD�X�|}|i=x�n|����ѣ��_�9v�+m}�ԟ��sz<k�8iy���5SڒR����rt����3�SY�@⥟k���M
��L��W���&^�/���j򣴹{���W��͟�q�xiλ)��<�߰[�ʭ�
} �7l�>��畟�c�N�	ϛޠ��y�����W+TqYN��R���r���ʔF���4����ic��A�˗6m
�^&��ՍR�.q�H�{��iU�؞�	#4
?���+ỳ�����HT�m���97a@�Uً�C���5���d�_h*�hE�ų�a/�������8�1�kBE�'$���endstream
 endobj
-1016 0 obj <<
+1011 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3501 0 R
+/Encoding 3782 0 R
 /FirstChar 56
 /LastChar 63
-/Widths 3502 0 R
-/BaseFont /CQEWRY+XYCIRC10
-/FontDescriptor 1014 0 R
+/Widths 3783 0 R
+/BaseFont /ISISQE+XYCIRC10
+/FontDescriptor 1009 0 R
 >> endobj
-1014 0 obj <<
+1009 0 obj <<
 /Ascent 2400
 /CapHeight 1200
 /Descent -3200
-/FontName /CQEWRY+XYCIRC10
+/FontName /ISISQE+XYCIRC10
 /ItalicAngle 0
 /StemV 40
 /XHeight 0
 /FontBBox [-11 -1610 1143 1610]
 /Flags 4
 /CharSet (/d56/d57/d58/d59/d60/d61/d62/d63)
-/FontFile 1015 0 R
+/FontFile 1010 0 R
 >> endobj
-3502 0 obj
+3783 0 obj
 [234 566 566 234 234 566 566 234 ]
 endobj
-3501 0 obj <<
+3782 0 obj <<
 /Type /Encoding
 /Differences [ 0 /.notdef 56/d56/d57/d58/d59/d60/d61/d62/d63 64/.notdef]
 >> endobj
-1012 0 obj <<
+1007 0 obj <<
 /Length1 1939
 /Length2 1207
 /Length3 532
-/Length 2418      
+/Length 2419      
 /Filter /FlateDecode
 >>
 stream
@@ -22917,181 +54027,147 @@ A
 �~��(�b��L0��$�sT��3���v��ƒ��"�dH��f�c���3>9
��
�X:g
A�(3f
�
��2��(��qP�30<� �Y���%
 a
 �
�Ŝ��tXg���!2�is���݂ S��y
-��~%K"�񄰲v`fp�:��i������'
��MФŧ��!e�	MP����4S��V�8w Q6;Ma��!G0�- at C���ƃ�2F��I3���5i�*��S�H�tJ}�&6=I�G�t�.Šrw��?�f�٠iaDx��

�MPY$F��J�b��S����N������,
�� �µ��
�eA
ˇ�i
]ón@��W��4&B����2*Kؠ{�lx�*�H"���t�R(��Nf
� �@��i��"y��t�;U�
3��
��2�
��"Kfy���uhDŽ�.���G��H��d�P�;�1
�FѮ��t���;2���9m]���(�lX
��PSy��Q�ي,��
�t�@�7*l9ʳ�B�E�.:XC�
zbY��.9��z2�iTI���^
���M��?J�m�9�=k	�<�W�j ������%��1�R�ƒ�� ���"���dh�Ƒ�y��0!������m.p�<R��H� ��,��>:�bQ$ܟ�J�
��#y� [...]
-m|��D
~oI{oǤ���
W�,l��t-��Ǐ��3���}!�߹�e󝵶�	�S����t
;�=!�}:�)5�<��J�Y��_u�o�/��o��Nb
�
7?��ҋ����
��?wNܒ���P5y�w��G�nIL����x�h�6�G����*�ˏ	{�i>t����vŴ>^���]�ʓ�q��Xu9��ڱ���AY��||\��p���*��3���b��ъ�I�_;x��{�V��.�H)���h㱁�
U��
	o'4Kw�m�=�kWK�jRlˮ��n/<��n\�ٶ�� s圀Ԋ���{{W_\���z��u�ڂ���G��H�N�4�0�;ƞ:2_S�stߊ��U�A�����¸Rf�8j�tRT�s���wc/�X�6d����&j~P0{G�l�}?���;�V�~�����lZZ?��}_���v��!v��z�٫ʽ>M�2���!:q)tu�������>�+��7,��n
:��♷�
�%~��z��;��
���ƻ�(\Xz��F
������ ��q�#���<(
kފ�<a�n�^����{Q}�W�[�����^�\&�]�Y���b1�M(Ih��-��{��KiK�M,�F���;�iud������ZS\�Q��˃o�6$���۾�<1w�0o�)]0�z�p��1�}t{���A���MWWX�n3��_\Pl��P��s�G'���Qј1��2�]G�
Gk
-��F*.X���n�Hlh�
�
Ыa���5���N�j;Z�F��]��=���\z od���s�^��nUC&����2�N����!�;��׶^5I�0EM[���*w���?��3ö9��[�������\j"�<�U��������͍����j3�ze�r�$�����w늯��r�pM^V4�zdYx�SFC
1�xg�Yc��
��Q���OoD�[z(�w�~S�<�[������V����ʱ	��f+�i�<�Dҷ�2K��|q{eν�B*|�ވ����5�� ��}�y��e7��u
ComOm�u�͍Q}�+K��^���wFe�,�TIѥYu���M���lN�n<�oP�o
t0�����a�Z����s߯�>߭�Y��ؐ����m'�
-�R�;�^���b��~SvMb
�%���'�?������˅��T�/�|�endstream
+��~%K"�񄰲v`fp�:��i������'
��MФŧ��!e�	MP����4S��V�8w Q6;Ma��!G0�- at C���ƃ�2F��I3���5i�*��S�H�tJ}�&6=I�G�t�.Šrw��?�f�٠iaDx��

�MPY$F��J�b��S����N������,
�� �µ��
�eA
ˇ�i
]ón@��W��4&B����2*Kؠ{�lx�*�H"���t�R(��Nf
� �@��i��"y��t�;U�
3��
��2�
��"Kfy���uhDŽ�.���G��H��d�P�;�1
�FѮ��t���;2���9m]���(�lX
��PSy��Q�ي,��
�t�@�7*l9ʳ�B�E�.:XC�
zbY��.9��z2KJO1�S��4<j
�0�e����s�z�0Py�"!� 
��)�K8c���%��A�	q	D %���t1�#����aBh/p�
���\�y����B�Y.�3|t�ŢH�?��=�G�8 [...]
�.���
i
+
`�w�=ud�����9���h�-���q��`q�d館6�5>k��^ڱ�mȐ��?\?L���`��
+٨�~��
w���K'?��ٴ�~^�����-U혃C"�����ҳW�{}�ze���Ct�R����#��
���1|�wW��oX܍�ttQ�3o
K��/����w=P70�w%Q����э":����3U���lGTύyP.ּy���n�������
�
�tE������L
���(��1��
b��P��6[2{����Җ>�X�Zo?w>����³��緵��\�����
$JmH(��
�}cyb�a��S�`2���&[cR����[m�Nǿ�
�����f�˿��ظ��.���N�)���1cnme滎����ύT\�.)|�~�����;�W���3k*��
+8�v�j��߻��{�S)&��@���M��
j���ݪ�L޻��e^�jՁ5CZw��m�j��a���U�
s	�g�ms�ʳ����==����D�-/�yԫl}��=���ߛ�7���G��f<�ʼ�ZI^7����o��_[��ᚼ�h��Ȳ𬧌�bn��޳���=Z5�l߷�&ވܷ�P����yз.}mu�����ŵ�c.
�
V�]3��yԉ�oge�T����ʜ{e�T�����ߟk:�A��k�b����n�c���ڞ�r�ޛ��6tW�X����U�ʒY䩒�K���}�dßٜ��xdߠ*T�<�`H/S߽�f�^my��_�}�[ٳ�DZ!3�?!�N
R�8w��BSw�(����82xK����O���	 3��
k#���_ �>�endstream
 endobj
-1013 0 obj <<
+1008 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3503 0 R
+/Encoding 3784 0 R
 /FirstChar 82
 /LastChar 109
-/Widths 3504 0 R
-/BaseFont /PIELHK+XYDASH10
-/FontDescriptor 1011 0 R
+/Widths 3785 0 R
+/BaseFont /LUOSFO+XYDASH10
+/FontDescriptor 1006 0 R
 >> endobj
-1011 0 obj <<
+1006 0 obj <<
 /Ascent 0
 /CapHeight 0
 /Descent 0
-/FontName /PIELHK+XYDASH10
+/FontName /LUOSFO+XYDASH10
 /ItalicAngle 0
 /StemV 40
 /XHeight 200
 /FontBBox [-40 -520 503 520]
 /Flags 4
 /CharSet (/d82/d95/d108/d109)
-/FontFile 1012 0 R
+/FontFile 1007 0 R
 >> endobj
-3504 0 obj
+3785 0 obj
 [500 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 500 500 ]
 endobj
-3503 0 obj <<
+3784 0 obj <<
 /Type /Encoding
 /Differences [ 0 /.notdef 82/d82 83/.notdef 95/d95 96/.notdef 108/d108/d109 110/.notdef]
 >> endobj
-1009 0 obj <<
+1004 0 obj <<
 /Length1 1933
 /Length2 1282
 /Length3 532
-/Length 2503      
+/Length 2502      
 /Filter /FlateDecode
 >>
 stream
-x��W{XWo���"�-ʵ��B�Ą��� Aû$Q�
��d�d�(�
-Ҫ�������J�ڪ�'آ��R
�ւ��
->��'l������o�
a���s~���k><&�(|�j&	�2:·�3мY\�� � d�����b��]���
�GaF	HH� �
J��D����zD�`=C
0C����y<���hf	fɲ��Qz�0,�g��S*Dr<�3��C/Ɍ4(83�_��@�Y*�ґ4��
�ב�d

-f�f8K�g���	���I8K8F���|�0 ���)T,���&�����>
�2�H�am�s�5J��H�I��H�h�`�D�g~�%LN�Fr����2����Փ,�
�R�@ ���e�@�F&�����
���D/��

��I,�2��i�����X=Ѱ#�ᖐ,� 3cD*R�X�x�J2r�����ti5�1�2��p���Y�a�Μ�84�0
Ɋ1&�pi��:�� u�!�Q��fj�@��
-e ז	���ȄYk�!! �_ҏ��#O(
p�E��j���
5�ؒ��Q���Q:�)�
�� 8p]B�4@$ad4`���F����ʹ�qJ$�J@���Xi�2A�\
-�؄��(�����!K�Z�F�,6x.XH��re��I�\%S(Pht,��i�R

!�E1q�1�
-��*�I�m]�����H�6��O���1Z�RH�
�0e�$T������f��A���8J�A:��FKX
-��c��`����
���_�"Ih5�	2Lj�z�ɰ��"���
��R>�  O*� ���k
`r��A�}�j�~�h�b<�'��%Ռ�6CL4<�(�NЩ����
�|[�?���@�F��"� 50�� �m���`�x��A$��Q;�TΑ��.��o�2�R�X
Cq��!i�ۏ�6$M�0L9�6�|��~��`
��t��lg�"k��7\


<m���,��E�P��K
	SQi�?v�jk����H�+
-�!BЄ�ҶJ
t�L��e&�Y���' 0�X�2hN5NG8
�����&
-��Z�<kb䫆l�d� dx<�����c� ���<�� &=�H ۣ�w��t�b#�� � P ꋹ�ȲX��j�6 �^�c���QI�R���ޑ)�z�t���uSI�ɯ�+7I��Z%��ٽ��x���٣S�2�����5�Kc�H��d(|�G��;y*Ft��-|}�	K��絛��hr�A�wZ��[m���}q���2���

��3��<u�iT���r
/Ѳ?b#~��m}���s��LӶ�

o��m{��\Z�������E�S�3鷕k�Z�{O��G
�=;��8�7��
f�e�����ذfy�$��%5�r�27d��g.�e#
<
E����]ì���c�2�6n?;�7��ӯډ�|�����=�*��H_(X���e�{]���ޒ��.�^v=�J�=�������kA����q�o���)9����
�mӽr\��ŋ�ޗ_tlq�F�T>�2]Z������_��w���;�#�������89v�T؛��B�!qiUT��ANu���/6&��>T��|����Mm[��
=�9R}��C�Ң�-��yM�W��w��
N!���������y�箲ӫ^h�>-g������}��
z����(9�8"#���x�ɶ����}�{~>���v�>������E�!��fk��19���cKu����+Z7;C�pjқ9�+"��e�
-�
�f���Bq�����sW���4��׊s1���u�~Jܘ��e˃�[MS|
:�J��z�^Y�e�:���:��
�jM�pW���g��u?y�N`׋��E��,�!�����
o�E��v��%?h��L�0oؚ�w�v�ݫ�
���:j��y�@�_�+Ƈo�~w��fDyO�Uk�����z:����l�fŲ%�G_?�P�~���c��qKם�m��Z��M&�Q1}}�l��cfys�p���y[K����q�h9W�w���������N+�
q��F��N�$��Q����oݶS�-���Qͷ^�D�PAu����O^�6������N�=[�+�ۼ`����-.
F��2ߝ?
��1(GLM���1��?Q�
��"-ݥ��|���rv�wsg��ۇ����x�fS쁨�)|/�ҧ$�
�z(��s$�qq�ڞ�s6�N�Ȓ���n�yg�ZWkvIo���ԫ\��T-o���M�V
�q��K��f�ꊻ&v����o~�}&;�nX������M����[&H%��ڧ��nP����m����-�	�����nk�߇���|c�����9�oKd^������p��N�aO��Kc�=ǯk��f��4�_\?T_9��u���
u������vt�ՙ�K�o��z����tg_j�xǯ�߉\���l��������h��Ή���	����e��ju�"��<�2�ae�� ��L2
�����_���!�(c�ҟ������' T4���-ɦ��KrYxendstream
+x��WyXSWo���"�-ʵ��BHb�b�5@а7	ET���
��ŗ�HDiU�V���( Ԧh
p�Tm��
+Zt\*��H[
n�\�8'l�3����o�	�qϽ������}x��Q�H�t"�u��˟���Kc��|
��@�	9

�
&X�օ,������(�H!	�����%96��?*)�
񅰞&
+�&��xp<��OC�3�`z1bI�ih�1��I"X
�iRǢפF
+
��¯qm �
�D�
+Eb�Ѐ�H�
d��z3�%��3������I8CXZ���\$�
�P
m`*�Գ�Pz�F�Y
a/XP$M36����KB�N�$�H���z�O$)�5?���'�{#�N��@�La����	�E��ɸ? ZB��p�J%�l����X��	��Sa����D�T���}W��[��h���ְ�	���6"�C
V<C&YPch�B����Ԙa
uj��ʀŌ��OgVT,��u��d�)�4�Ta�[A��uϐ��(�l3�z��� �ҀkK�a�dŒ�̐  �.�C�F�'��� Zo5�O͈��|j���(�FV�H��dZ̒
�.&)
+ 12��Hy#�Eq2���X%�Dţ8�\.�RƋA�M���p/��S$V�=0d
T
Ј�ʃg��$H!S�[��ʔQR��Fˑ�H�JYpl�D�bb�1�
+��*�I�m]����a	�2�ҏ���1J��	�
�0i�T���������A���8��A:��F������`����
���_�"	h5�	2Lh�z�I��� ��?5��*$\�yR��
_� ��44
+��V��G���7Ѽ�-��u�b���F�,p�N
ش~�h@����i'
+5RT���)���%)��uj��^"��ځ�2��
HtI08x�[�!�L���U%#
Ap�~��!)R�aʑ���#��pcH���@�?5�v��� �!�6�}��ѱ��S���H�XP_���|�!`**����Ymm2�79���JC�x\ȇ 4�Ǻ��\.թ`�@�	D~�wa�� L �t>4��!��}�Pl`�]f-z���"䫆l�d!dx<�����S����Ӻ�l
���t�#�
}�����#�,�x�� ao�UF��:�V��~��
+�8
�8�u�J����w��
�s%C�
��3O�U�Q̽�"v���;���n���B�:��
+��ֈ���+YZ����jYm��UT�֩�1������/k7������~ߔ�K�wZM_�q��y��v���
we��s�J�|���\N��@��VG뺚�7g�[�ƭ'�����8�h��&���k,3
s&����*U۵����΍<�s~rmQ�/>n~���>K��ƽ�����	/KJ��ZeNȈu/\:�D:x<�x53�G��y+F�f\o�v~�oD͚�ߴ~�A��#��y�~�6�����|��
�7�=����'\���f޵�9{����3����C��=c�o[�]�SR���s�ڝ?ݪ{�6A��}$���쮍t�x|m��r��y��NIݷ�
��;�#����M��6;9v��ۛ�[��!aIeT��QvU����6$��;\�r͙
��)������
;�1����]�����5%��
*vs><R��v�����_	�Wz�h�"�
W�ٕ��l��=�u~������%=}��
������?T4�tkҰ��M�m�?

��6�;����"]�u\�����lI���%��t���f����.t83���d���]�3��Q�(�`�С9�[��k���B̄��ҟ6$�~��(�N�$_�����&���SZ~U��鳠��6��Z] �
�������
�
/�
�|U����a��.�#~�e�k}��2�-�a�
�4�9��z�=Y�]S�J�C�|�Ǩ�d��8X�W�����?!�
Q֝3i�j��m~�Í�)�5��r��8�؂#�u���=�M
�d��'[ԙ�y�ߦSץ�t/>n�5�&�J�����[q/� ���c+�[�^�|F���)eY�
�
�@\v��'�?�
{�H۝�v��e]r=���+�_9�W�<z��״?�� >��y��e��6�[��p�K��)��w�υ��{M�a�S��qT��
����_���U���T��.n﬽���[��ۏWo��*���r*yN���S�9e
��ϊ��t�<��)gRy��Ou[�9W۲J��Pr�g��
��
�rYk��n�ܰ���� [...]
�c'�v^�s�әIvC2�䤔�n��U�w�o
'n|k�Z��^1��2�InGN��ķ\^2�¸�1~�׳{⭑�⿟��\�5�~�ڿ��rw���{�����r�
����YWS]~q�D}�B��!�||H[���.S�7?����7�W,9��כ�_^��nн�)qc
Oս�|�љޫ.�?s}���mтϜ䫺��w�-K
�U�ą��LE��v�h�3�t�vĒV��~]C�U���K~~��_~8��� PQ�#�����{�Y�endstream
 endobj
-1010 0 obj <<
+1005 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3505 0 R
+/Encoding 3786 0 R
 /FirstChar 15
 /LastChar 118
-/Widths 3506 0 R
-/BaseFont /KINCOC+XYEUBT10-Extend_1200
-/FontDescriptor 1008 0 R
+/Widths 3787 0 R
+/BaseFont /WROUCK+XYEUBT10-Extend_1200
+/FontDescriptor 1003 0 R
 >> endobj
-1008 0 obj <<
+1003 0 obj <<
 /Ascent 0
 /CapHeight 0
 /Descent 0
-/FontName /KINCOC+XYEUBT10-Extend_1200
+/FontName /WROUCK+XYEUBT10-Extend_1200
 /ItalicAngle 0
 /StemV 40
 /XHeight 438
 /FontBBox [-271 -271 271 271]
 /Flags 4
 /CharSet (/d15/d40/d47/d118)
-/FontFile 1009 0 R
+/FontFile 1004 0 R
 >> endobj
-3506 0 obj
+3787 0 obj
 [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ]
 endobj
-3505 0 obj <<
+3786 0 obj <<
 /Type /Encoding
 /Differences [ 0 /.notdef 15/d15 16/.notdef 40/d40 41/.notdef 47/d47 48/.notdef 118/d118 119/.notdef]
 >> endobj
-1006 0 obj <<
+1001 0 obj <<
 /Length1 1933
 /Length2 1261
 /Length3 532
-/Length 2479      
+/Length 2478      
 /Filter /FlateDecode
 >>
 stream
-x��WkTSWƊV��Zp�-�GQ
-
-In$	A	D�(����\��MonB2"�Vq٩�`)Z����oT�V;>�)"��v|�Wѡj�g'�mqf:kͿY��ܜ������~ee�H�*T�c2p
c�B	>�R�b5r5!DB!�a�1cbXLrc�Br8R4�J#���H""��l�,�VRa3"�`
)�
�����<��DV���dY&q�ق�
�R
�fJ�H�f�2qhT��E
��(�$��2)I#�H=��t�Be�P
cv���CA1�.'�P�'�Y��1z=���Q
-c� ����SiY��!RG�97�1�:1�ʂ
úm��5ʔ�H���
-�e�f�Ϡh�s��!Ei�i!(���d�6P@��1�o3�r��#΀�`$�,�l2�}_����OM�
��
��Z���I]W��[\��Y����s9$�e��X��4!� ��2�
�q ��.#���!�Iw�p�5Z��LMҠ�؄YH�ҚAå���,��]2��P��m��@���c ם���ȆYW�! t]҅��� (
p�E��e
�:
5�ܒ��Q���Q&��
�
 \s(��
�����!tѬu|�F��Iih�<%E��N��.g`��p'e4�ց=0dIT
�PĦ�ă�<:!1A��b��N�U�P\r
-�#�<E��I�� �&E���uU�
-������P��"
IіN�i�Y
8F됁�aȰS6�KB%�
�Y�h�Et!l���
Qzdb���RP5
������A�)Hh5�
2C�zu��TȑPD��A���#ȓ��,�(�	\,��gPD�Xg5wuWLP�D
���1����'Hb8��ڳi%!�G���y'����ti��)��i�h�/uzj�
(��ƞ�	
	9��2ap;E�%��c����'i
�k\
IS&
S�r�P�T��
Ɛ6ۄ�
1>�}��`�!�n�	)3����Ʌ��9PO'D�._�$LE����9��{O��W��\v4Gȇ|�@ޮ�{5���&-�(3�X��� 
<!���b�����a;�v`.�C��	Ln���y�
- �H����0!���|/u����2��K�b
����#�܏���_+jLԛV�0����0�[���,6q�ڄ�u��?۱��x��ʖd�;��-/vS��>���-K�
]��Dƿ�"{�k��+5��ې�C��
��ޙ�S�Ӌ[���^�,�8��@�����۴����L����e˯7��b���p���>�&� �
��綆
O���km�*�\]˛W^��������Ƿ�2��Ə���-����8������K"�X
��h,Wc���g���l�l�
�c�7��

!ٱ��[�cǬ7VWN��~typy֔���)^���jY��1�_[��gä}����ϻyqk���*�e}��a�
:�>>�0h����s�o7H���:��8}��ro��ђz��b/�3(��_q�gŎݯ.�v�w�>�ӆ=��z�w�Ǧ�'��8}ڪ�K��ܻ4QP���	m_o
��<��Q
��~\���c�;#���Y3|�}!�7�s:��kު-���֠]�Y�αu�[��>R|7�p?����S�u+��>��
-��wy��i�[��W,��r��߱��=�/;s(5*kґ��Ǐ}��j��M�o���6���
-kӇ-���������}����K9�[��y�ݸe�S�������h?+޿�����z�h�V$^��OT�z卝q�
-o� ixݛe*i|G��f�er���,:���踷�����uz����<��^
g��P0"u�������
�Mu����EQ?�-���/5g�՚��姡�}U�쯳���ӖC�V�"���킗ﰜ��j�w�������|�����响ϮZ��綯Z� �G�w��M�Ue#��̯
o�)I�}�A��\3Ye�M:{W>�>�qY���RAdY�߸�%)~�����%��G+n嶎�*
Ѷm��[���{yɾ�Y~��х����nn��V�N�zO�dأś�
~9>t٩���ڵy[�v�T{���0�S3;iΗ�|������a
��x��U�R��0�cjp����Z���om��s�L>5t��ŏK>����7Ux6-����Co޾����6��3+��x�U���Q�W�>�m�Y��Dsc���E
KV̩K��.)ڸy�x��){����i>5��w-�N����r��+��$&+�.�==|���n��e�
qK���;{3b��M��s�4k����~j�	W�z�`iM�%M������m [...]
+x��WyTSWNJV��
x��(�$/��
AP�$��#�!^�җ����]��ZP\ Kq���
�Վˀ� E�ҎK݊U��8_�g�s��7g���{��}����-'cG)U�r
���J�H�����	!
+a/
�
�b���T�������V��HDD�D8(�`e���
+��Hqxd��7�7�9|$��͘E$�29����gX��5SZDr<03��C�c�4(Z8�G�� �,�I�H)0G��u��*ӄb��


+�	v9A��=��R���'��R
 �d,�J�Rf�:�̹I��։V�`�m�Q�LD�tH�V -c4�}ES��E
)J
L
A	&m'����|�I�C�
q�
 #�e8�f������ ��{�hb6�XXEe�����eO������D�b�,���!Y,CƊ��	�X�,�a�@��-�t
�w�YM:��ŀì��MgZ�M�&�B���
.M���d�.��Y
X�2
n�8��.P
�����E6̺�
� ��.�
A��,b�.�`�ԁh����ߌ��du�2��00f`f p�C�4 at d`d�`��A��f%��5j$OJC��))�$u�
t9�؆;�(�����!K��Z��"6%&
,��	�	�4��uR�J��S�
)�)�M�<)5)�dU��*T�F��]e����H��t�O��Z�1Z�
�
C����_*�����G3� .��
a�U
e��#�
���� X��w6G�H�HAB��m���ի˄�B��"bBDҨ�|
A@��
dFO�`	&=�":�:�����b��&Z0�%u��v at L�<A�'�ԞM+	A=:����;�'P����H#@uO�4H#E;~��Sc��@-g5�<M�Hȁܔ	�C�)�,q�
��5 =I[p�\�jH�2a�r�{�����
g0���&
�	��3
{�
�u{,��cfNU��&k�@=�	�|Q�0��s�\��=��^ABs��
!�!Mx���ռ
�ǚ�0b��Db�뷂t� &���S��ہ���&0Q�����*�#�
 t�Ä����Ե�>�D�� �.ɋq��f�
 �r?�>
��1QoZq�T$F����n��ʲ�Ĺk�ֽw�`l�Z^�F+[���@����M5��[�J�,>{tɾ�V�l��l�Wj���!K�dQ;��3c�@���8 �=�@%Xrq��>�JU/�io͝�ҙ�S'˖ [...]
+�5ղ��c�%��x�5φ��־�]�w������U���^3=�t|}|RaК=���
+�i�
.���Utl�qƨ1W��^{�%���9�^gPv?��ϊ
�_Y���}2�Z������MSN�q��	���ܻ4IP���	m_o
��=��Q
��n|��c�;#���Y3b�}!�7�s:�u�߮-���֠]�Y��qu�[��>R|7�p?����Sꢵ���>��
+��wy��i�[�ٗ/��r��߱��<�/=s(5*k��Ǐ}��j��M��o���6���
+k�G-�����'*(����FI���r�M��a�R�,/Ͽ�q}�~V��������x�H��ٟ�.��7��ޤA��7�T�������K�z�YtΙ��qo['ϰ��
�[��y:�
��
�;�`d�0��偹�;
+<��VUg���~:[2<�_j�ʫ5��
�OC�����_c�	��-�����D�}��/��9���d�.ݳ������ę����
ϮZ��綯Z� ���w��M�Ue���̯
o�%I�}�A��Z3Ee�M:{W>�>�qY���RAdY���)%)~����%��G+n�N�*
ٶm��[��zyɾ�Yv��х���nn��Z�n�zO�d���6�U=�rB��S�U'�k��:���/�ka��fvҜ/����{����
��x��U�R��0�cZp��׍��	�ڤ��
�rj����o=.��C0W��T�ٴdO���y��[��Z��Ϭ���ͷVj��GINZ�����f��͍1�/n-,Y>�.�n��h���ࡧ���U��z�O�q��ߵ\:un��O�}��8����̺��\���ʾ�?�v�-9n8>��͈�����6IB�Ҭe�~7���'^q�Ƀ�5�7����/�
��{�>�o�&�4m�<V p`�Dz�{�U���RE+&�M�s�{A�ߓG<9��K�Jg��w<@�?����H2�7��.��h��3
�.�J4ޔ�����K�e���{Sc���.��O�s`e�#
��P��
e* [...]
yܝ��浝/��>;����{�/~nw
��/���' �4�??��d�y� ��G�endstream
 endobj
-1007 0 obj <<
+1002 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3507 0 R
+/Encoding 3788 0 R
 /FirstChar 15
 /LastChar 118
-/Widths 3508 0 R
-/BaseFont /IRVNNT+XYEUAT10-Extend_1200
-/FontDescriptor 1005 0 R
+/Widths 3789 0 R
+/BaseFont /AACQDM+XYEUAT10-Extend_1200
+/FontDescriptor 1000 0 R
 >> endobj
-1005 0 obj <<
+1000 0 obj <<
 /Ascent 0
 /CapHeight 0
 /Descent 0
-/FontName /IRVNNT+XYEUAT10-Extend_1200
+/FontName /AACQDM+XYEUAT10-Extend_1200
 /ItalicAngle 0
 /StemV 40
 /XHeight 438
 /FontBBox [-271 -271 271 271]
 /Flags 4
 /CharSet (/d15/d40/d47/d118)
-/FontFile 1006 0 R
+/FontFile 1001 0 R
 >> endobj
-3508 0 obj
+3789 0 obj
 [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ]
 endobj
-3507 0 obj <<
+3788 0 obj <<
 /Type /Encoding
 /Differences [ 0 /.notdef 15/d15 16/.notdef 40/d40 41/.notdef 47/d47 48/.notdef 118/d118 119/.notdef]
 >> endobj
-3509 0 obj <<
-/Length 279       
-/Filter /FlateDecode
->>
-stream
-x�}��J�@��H�&������A�'�B�*
NK
E;��Gˣ��L1f������v���7/�/fTЂ�*��iqI�%��Ұ���p�{�U��M+�o5Ƽ������W��Tb��ǒ�'l�P�~_�� '�
�DD4	��͆o�\享[v���
{�d3����
�
-�z��B�RD��!�t-�2���f�.bam�z��C�ξS8��̐�`.`��Lco�v���a���W�4�U������u�
�b譫�T���иv�7
n�{���endstream
-endobj
-926 0 obj <<
-/Type /Font
-/Subtype /Type3
-/Name /F79
-/FontMatrix [0.01004 0 0 0.01004 0 0]
-/FontBBox [ 0 -8 45 69 ]
-/Resources << /ProcSet [ /PDF /ImageB ] >>
-/FirstChar 36
-/LastChar 36
-/Widths 3510 0 R
-/Encoding 3511 0 R
-/CharProcs 3512 0 R
->> endobj
-3510 0 obj
-[51.24 ]
-endobj
-3511 0 obj <<
-/Type /Encoding
-/Differences [36/a36]
->> endobj
-3512 0 obj <<
-/a36 3509 0 R
->> endobj
-3513 0 obj <<
-/Length 292       
+3790 0 obj <<
+/Length 115       
 /Filter /FlateDecode
 >>
 stream
-x�uбJ�@�YR,l��BȾ�&��t1p�`
-A+
�NQ�"��,�(�[�X��S
�|0;��?[����va�NlYZ/3�n�������f�����M~�c��7��������K�zef�x4��1џ��航�
<���q�鎕K[&����(n�����8�>a"���
-��LU'x��B��<��cl)����Ի$d�:4R�{H|�<ȄT��s�	��T��N4���H�Ɓ��G����W�
7;ܧ���Z�(q�%΂$���%�?�.���ܙE�Tendstream
+x�32�3�P0P�P06U0�T07TH1�*�24P Ac3�Lr.��'�~�����P�K��W���4�K�)�Y��K�E!�P� ���E������������ �3�C9
��\��\�\ �>"�endstream
 endobj
-3514 0 obj <<
+3791 0 obj <<
 /Length 182       
 /Filter /FlateDecode
 >>
@@ -23100,85 +54176,94 @@ xڍN1
 �@\I�M���K�x�b����-E;}Z��'l�� ^��a����Mƃѐ"2�)�ch�	��\�1�P
0��V�
��gQ�9]��=�l1�UN똢
ڜ ��g�7�^�n�C�?�_��U����p ���[�
 �;@6�D���!^I�<I�i�㫯�qjq�O�kVfendstream
 endobj
-3515 0 obj <<
+3792 0 obj <<
+/Length 140       
+/Filter /FlateDecode
+>>
+stream
+x�-ʱ�P��#
$g�p���'��BR����� &��&�G�(}�Ap#���;g���T�̔�����v�#-
<�O�KO��et��t~��鲧+]��)��W�/�
|~�j���6����@(�F@���F
�z.���@endstream
+endobj
+3793 0 obj <<
 /Length 161       
 /Filter /FlateDecode
 >>
 stream
 x�3��37U0P0U0S01�C�B.c
����I$�r9yr��\�
`��W���4�K�)�Y��K�E!�P� ���E���?���

��00���(��?;�h���0a$>��z �A ��?$h LF��
�
���N�8�\�ù\=�� ���Yendstream
 endobj
-924 0 obj <<
+920 0 obj <<
 /Type /Font
 /Subtype /Type3
-/Name /F78
+/Name /F149
 /FontMatrix [0.01004 0 0 0.01004 0 0]
-/FontBBox [ 0 -8 45 75 ]
+/FontBBox [ 0 0 44 71 ]
 /Resources << /ProcSet [ /PDF /ImageB ] >>
-/FirstChar 36
+/FirstChar 39
 /LastChar 136
-/Widths 3516 0 R
-/Encoding 3517 0 R
-/CharProcs 3518 0 R
+/Widths 3794 0 R
+/Encoding 3795 0 R
+/CharProcs 3796 0 R
 >> endobj
-3516 0 obj
-[48.75 0 0 0 0 0 48.75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 48.75 ]
+3794 0 obj
+[27.08 0 0 48.75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 48.75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 48.75 ]
 endobj
-3517 0 obj <<
+3795 0 obj <<
 /Type /Encoding
-/Differences [36/a36 37/.notdef 42/a42 43/.notdef 136/a136]
+/Differences [39/a39 40/.notdef 42/a42 43/.notdef 96/a96 97/.notdef 136/a136]
 >> endobj
-3518 0 obj <<
-/a36 3513 0 R
-/a42 3514 0 R
-/a136 3515 0 R
+3796 0 obj <<
+/a39 3790 0 R
+/a42 3791 0 R
+/a96 3792 0 R
+/a136 3793 0 R
 >> endobj
-752 0 obj <<
+748 0 obj <<
 /Length1 808
 /Length2 1532
 /Length3 532
-/Length 2125      
+/Length 2124      
 /Filter /FlateDecode
 >>
 stream
-x��R{<��
�����hsr{]&�03)F�&;n	m�2f�a4�
�
�_���%R��%eF	;��P]h]�HR�Z���
���y�_�s�����~���}���C�{�5'2�`�qx�X
�-���E �
-�
i<�q��@[ kc��� ��ֶ[mlqX
-�q0+$���B/� 1
�Yt��x�`�L�Nc{!:
�	, "�
x-����H�,`��< 
aq��~�
&>�|��VG�L&2�h at f�q��2�n�l(s��0��8��f��—�e��K
g���C�\>�
-� aΗT_�5
-�`�ÿ�y46�N䄰A �Ċ$�b@��G�4v$�R9�/M�b[�`Iٻ����le�+-���p�)��]��?�,�
�X`0XQ�~���b�3�1X
�u�[4�	�{!Cx 
�8
0 cd~--8Ov�E0!��L+������ ��h����P��dB|x����vt�b��q�
'��bq8�����;q���N�q
��St>
�
��=�E�3Y��`
HG
>�����
-�eT&8��[�`*�Ґ�&jy VN
8.Ͼp�5�tT�P]���T�ԋ^Ҋ<��!�n���9E��ɨ����F-��b����]�D��ZߛWxy���]����n�0�.9�a���\�\끨��Si�?R1{_f�p�V}/����,�̑h����#��	a�J�͆g����+�͓R��i.Ybߘ}Q����I㟒
�j>z9f��d�}�|�G��!���-Y�κZ�:]jG��>J�
-�������?@<6��.��թ=����1��C5өi�(��7lASϸ,���;�b|4X1Œ9C��ڴ�5wL�;�`
QJ�j]�Ƴ&��yjA�rk��~vV�{�R��Ƹ`�R�UZ��� ^Z����М�M���������u� ǡ�C���pGo�i�v�!�o[J�
-&_`�ZT*�Q�������iy�q��xz���;��7���0�����{��mc�-1��~IQ!��o�(5=�M��|��T�����4�r�䵞Ǯ$����u�%�um��"��䤒v�Uf�s���~���oVg���f���l{P��1�Wg&,V������W��U�窥т�
�KM��y�Saz����؛J�)�Ա��%;*��~;ȹ�M|ɷ�׼�jM��{X�G+ap�Ju��`ɐ��@-[Z�c�Q56[��i3�Q��K-ޓ���}'��0��{U呚��=}Ma�ad/׺WUP]��R-�L���Nx�f

�a
�8�*z���-gȞ�m����!
�F���	�@o73�J�xG����V��	��2�զw����6�%�(�=[]P�M�.�{b4��ou�mB<�R.PN9�'G���9���%
#6r4}�A�ϱ�F��q��.���
�>0�uK��'
�!�'��
:7
t])����t��{>GsJ�29�]�(��$Ijӄ
��L��C�kʺ
{L��
-">v���>4��^��z=���93���A;~��gw^�E��)㿤v
I�8�v�L���/��q2bm�iNR+h���K��ق�}���
Yȸsw���-u�`��E�
O,�$zR��V��>k��wk���*�Q�M�t�
S�|*���F�u�W�/�Ԝ��
-K���t)�#�9�n�?�tMቴq�Vy�VG��km_|T|�Lm�G)V	�
-�0�W��
q��W�*-�ĺM��<�$V�����PPk��|链������S������83��iQRモ�c|��������9�X��i�Z��Hr�^�?�>_=}��A�|�·�dKť�u�(×�f���Q�������q�
�U�=^6�%~$n��+��^�,N!>�F-��j���:�:������Y��p���]�'�Y�Q�
.�C$˷�sI�3O�*���ϊNjs���U
V���5�b�^�ܾf]�%n�J'@���YV��N,��Ɠ?d4{�"}!Zܑzd1��o��8�bX��)���n�����x��`�
3X��ܰ�Ӵә�
W}�d����!p��|Ukq��`y����p}�qѣ���3�Mm�㄁�����z���F�"���*�
���{�X
�&�?|������i�A����b�endstream
+x��R{<��
�����hsr{]&��K�D���R��e̼�hf�1f�!�k�Y�DjS"���(agʢ
�KIjZ�R
4����9���u>�}�y����=��}�?���>K
+��g�����ܽ� �
+
C vqA
+���)<����b ?�����V[;,� vA
!���v!�Ix���
*�
�Sxa K�A�0�}��V ����OD�`$ȍiV0
�1�< 
e�a�e?$6
��4>�s+
+�F�Mfr�H at n���B��a(H>
�;�o��R��g2=(�eyyF�RX
��}����@.��@.�K�/�ɚ;Hc�Y_vI<
+�A%�C� ��TbD����Q� :�	��A6�K��V,�ܼw;��Y�ls��Ia�y>B�?E��+��g�e��h+4#'���__�raS!�-�8���R�0���#
�l( @��/ʊ
��G y$q 
�–�im
� 6�\\�84��EC`�
�q�a`
�sW
+�m''Hk���X���x
:�߉�ٌ>Hr��C�񶟒��\��[�g�H?c:C� �T��#��=5��zzE�˅{�J�N���
��Ք��̋w�"�GD~�UE��	�	��E�ȣ?
��"���]�'��
+�(�i��-r>��O��7]�}�����HgE����ۤ�=͜}^(?6Th9U�r:��G,b��Hm�j�QQ�i�1
����z�'%><C���
�#���s�2�܍�Mŋ̛3/k����`Y�3R~m���SV�ZV���g�di/
~�Ӝ㢯��õf�p◡c�{���[o�����.��/�;��Ù�ۜ�?>�0�����\}��
LK�����+��c\ J�56��I�]{���3��%�ʖy
fv����ܡ��a�gM��%n{Si�_)�N�4���K�Wt:���)��
,�6�7���i�4u�z*�<�؝T]ߎ5���I�!����
*%�ʞ6��������o6�Nͻ��~/Q�f
�7�����>M;�
+�u���a5�(��N�J㳜����6�Ο5���$]���1�ܕ(RY_���X�Ϊ��A,ٙ�X܆��(w	�>���,jM����j���t %�
�Z
Q��ϕ�$����2?7
�f8/�Hgm|Xj@��s^JS�g����O,b�~c׬�0,_�� ��6�e߾��s����O]��c���E!�jU��C���ƒ5LY�;��љ��
�����$}rўx�7{w"
A_���:\�����1ܟ
/����
�J#���^	�WU��o���cA;lO"*��̼6�rh懬��r��>�qK�&I�
+�t�c�捵w
+o�mE�ǽ(�_m~���C�1%Q���ݿ����j�G��{a���c쩷j�j�!�$)*��utW���^�3a�G�6�
�i��
��;��q����#�P��[Zb��P������3@��2�O��TI9��'
QI�������D�m#|,�+-NL�
n�.�2�6�Ӎ�ϏX�

�y&�wþ���fD��}vx	����\?����K��I�<�q����'WV��T��(Pے�����Q�W��3����T��3���~�+S�xшn3_�N(�"�j�J�s�� ���X�1hQ� >�)��

"�
(�
�i�i���Y^��|Z}�NT#J8"S
+�ƥɘKd��ک�x�5'S�(:e1:�
��n��q�P�1���\)l-�J'_�t0�>!_ͬ�2��7>��:x ���7�[���J��6���]���e!s26?dOW�F�|zO���e�k����Գ
�\�wg8k�N�&*
~S�d�\��uLJ5siJ߂�-��i#�_]Z�F��6D �
6��'�1Kcf;h�.x�j�OX"l��-��^@%
� I�O7�
��
"�Υ>l�
7Ko�[g����d�G��A"�ݑ
���ӵJ��x���S����j��N���1_�{�߹nS�)��J/P���yf��
���S�<�5���}!RҞrt!�o�o��X�|H��9���~��Yw��qz��!���\Ut�K�"O�^o<8�L�I����Ǡ5�s�-E
�e1�����ɦ����M4�^�,,,|����j�0Z���l 6P���Ub��[����_�B��)\
Ģp��?Cb�endstream
 endobj
-753 0 obj <<
+749 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 49
 /LastChar 52
-/Widths 3519 0 R
-/BaseFont /MSHKVO+CMR7
-/FontDescriptor 751 0 R
+/Widths 3797 0 R
+/BaseFont /KRHBYK+CMR7
+/FontDescriptor 747 0 R
 >> endobj
-751 0 obj <<
+747 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /MSHKVO+CMR7
+/FontName /KRHBYK+CMR7
 /ItalicAngle 0
 /StemV 79
 /XHeight 431
 /FontBBox [-27 -250 1122 750]
 /Flags 4
 /CharSet (/one/two/three/four)
-/FontFile 752 0 R
+/FontFile 748 0 R
 >> endobj
-3519 0 obj
+3797 0 obj
 [569 569 569 569 ]
 endobj
-746 0 obj <<
+742 0 obj <<
 /Length1 1576
 /Length2 10992
 /Length3 532
@@ -23186,7 +54271,7 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��UT\�h�Cpw)����5��݂���[ Xpwww��	zj�{��}��/��7��1ۜ��$UQg5s0J9ػ2�2���5dY� �L,���@cW+{	cW ���� �f`����p�q��S�

=��,,]4��J�����L���Ʈ�@;PSc[�����Փ	 jk
P�W�
@
�tv�1���̬L]&@
+{x��ڛ; ��+l���?G�@g��$I
 )�9��z̀���J�Y@���R��\���V���_�����:7������
;G7W�3@��
�l�����%�4�r���SYWc[+SQ{
[ ��������V.RV
@3+WSK����
�8���?M@��ǃYQEUGT���o�?�*�V����@ ˟������l��eabaa%�����
��7u0��� �qr����=�Y@��89ެ +{3� �2ff�wp� @���;8��뮂��ͭ���y�Nn������	s� �
�����@󿢬�
��d ������'�����h�'��Mq0�w���_u���@u�T"�����T+�@W!�o�iJ�!v �����!��?����@��h���
�?����@
V�C���4]���V��\�����	�<1��./�����L�M�, 5����
�u��B���_ҳ�
A~V!H� [...]
y���_B�;���o1�<`Z�-�������P=�YV9P���y��k'uY�aȒ}
+x��UT\�h�Cpw)����5��݂���[ Xpwww��	zj�{��}��/��7��1ۜ��$UQg5s0J9ػ2�2���5dY� �L,���@cW+{	cW ���� �f`����p�q��S�

=��,,]4��J�����L���Ʈ�@;PSc[�����Փ	 jk
P�W�
@
�tv�1���̬L]&@
+{x��ڛ; ��+l���?G�@g��$I
 )�9��z̀���J�Y@���R��\���V���_�����:7������
;G7W�3@��
�l�����%�4�r���SYWc[+SQ{
[ ��������V.RV
@3+WSK����
�8���?M@��ǃY[\[RM���o�?�*�V����@ ˟������l��eabaa%�����
��7u0��� �qr����=�Y@��89ެ +{3� �2ff�wp� @���;8��뮂��ͭ���y�Nn������	s� �
�����@󿢬�
��d ������'�����h�'��Mq0�w���_u���@u�T"�����T+�@W!�o�iJ�!v �����!��?����@��h���
�?����@
V�C���4]���V��\�����	�<1��./�����L�M�, 5����
�u��B���_ҳ�
A~V!H� [...]
y���_B�;���o1�<`Z�-�������P=�YV9P���y��k'uY�aȒ}
 
 b��k���Gj�rP�@>��_X��jQPfU�6�V�
�Ue�	�b�5�
/�&��:�$��o�v�7���8�`p.x�[��m��YE�y�~���8��ٶ�rDω��*�}���5ji�àU�q�fLV
-]�ނ���3�%�5q
ˇ�ve
}A�L�����5
 �����Ԫ�	i��
W�휣b5_�q�6�GF���<�:
 4�+1]��
�Ņ����[g�p�����Կ{�=s�M��0t(�ڟ�
��O���N;�)n��'��EEv3�/��
k�_m�s,qԾ#5�qAAޟy��;"/x�
{Q��M�>�K1���X6z��~G���[�
��V�1s̹1�C������r�#�1�K�U�=Iv���ˑ#Ɓ�3Z�a'~��zw�-�&ʆzT���A�}��
�a>n�����
@Kf��^��+	���H_��Fǒ'����;lA	�C�=� -�c&2�U�������ܮhi;|H�c��a :���L��JxzvZ�}s�6l��9/-����U�����
@@ -23235,35 +54320,35 @@ I
 �8="/�Ra�%ӓ���� 
/�y�9�j�{�6�腇���'��_��9Q֦�
�K�����4����l�ٌs$��N���� ���mNhz�E�5�}U=����f{851���;�'C�t�]�l��/rh�������`�
�ď4D��j�0��s	�V1�O(��kM��;���D��;�"+�u�϶��l����.[��C��㷹
=ν"/�\�t������6�e����k�U������L+���.���2M����_b��S
J�i��a
�4��
 �m�S�'&�z�v�୭%ϰ�T�B/��)�!C��[�Q(pc�2�Q��?͆���zL�y�Y�����c���I���p�x�j���
 }�4[a�π��f�<� W�~�1��,[}��$$�;�㺴���8�s����nVp�
�u�)��J�p�G��,�E��b8��F������w="{.����?�ǰ/1;��\^�ؚ����
�
+��#�����O��E3Z~}��m��d*�TF
���۲���e�jX������?W[J%&��
�YE�@	1�#��y0��Q�
-!�
�hlh��ȫ�]<�G�g˞_��Ju����_���
�����|
+/P�w6m���gD���
[�2DE�do�����
�����`���F�mR��̟�����1�"ݾ;�3
�:�Ѕ�᪪�i�XQ.�9�����*�o�������o�����@cgW;cg���@��endstream
+!�
�hlh��ȫ�]<�G�g˞_��Ju����_���
�����|
+/P�w6m���gD���
[�2DE�do�����
�����`���F�mR��̟�����1�"ݾ;�3
�:�Ѕ�᪪�i�XQ.�9�����*�o�������o�����@cgW;cg��l�|endstream
 endobj
-747 0 obj <<
+743 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3490 0 R
+/Encoding 3771 0 R
 /FirstChar 12
 /LastChar 122
-/Widths 3520 0 R
-/BaseFont /MPQZAR+CMTI12
-/FontDescriptor 745 0 R
+/Widths 3798 0 R
+/BaseFont /XCXERI+CMTI12
+/FontDescriptor 741 0 R
 >> endobj
-745 0 obj <<
+741 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /MPQZAR+CMTI12
+/FontName /XCXERI+CMTI12
 /ItalicAngle -14
 /StemV 63
 /XHeight 431
 /FontBBox [-36 -251 1103 750]
 /Flags 4
 /CharSet (/fi/quoteright/parenleft/parenright/comma/hyphen/period/colon/A/B/C/D/E/G/I/J/L/M/N/O/P/Q/R/S/T/U/V/W/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z)
-/FontFile 746 0 R
+/FontFile 742 0 R
 >> endobj
-3520 0 obj
+3798 0 obj
 [550 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 300 400 400 0 0 300 350 300 0 0 0 0 0 0 0 0 0 0 0 300 0 0 0 0 0 0 727 688 700 738 663 0 757 0 377 513 0 613 877 727 750 663 750 713 550 700 727 727 977 0 0 0 0 0 0 0 0 0 500 450 450 500 450 300 450 500 300 300 450 250 800 550 500 500 450 413 400 325 525 450 650 450 475 400 ]
 endobj
-671 0 obj <<
+666 0 obj <<
 /Length1 1822
 /Length2 16114
 /Length3 532
@@ -23272,7 +54357,7 @@ endobj
 >>
 stream
 xڬ�Sx�]Ӯ
۶m۶��m�
�c�F��ض�m�y�o}o�z��̝y֨Q�U5�}�c�*(�
-�����:�2�1r��J22|}g`�"%v41p���1p6�"`��d#�r�&`b'`��be�be�"%���p�03w&���'��@��������@�����櫆��5�������
���5��?;��L�L
]M��	�-��	
M�,l����$ikjG��?ac��]r5qt�2E@�MJ�/��v��
�&�P�rv_j&_^�������\���
l�)����u
k���agc��l�H kgl�h�ߩ�&�cN������W%�
�-�mͬMhY�X�'n�$f�nb�`�ldN`j`�d�o������|��_��2"��Z���h�]T0��uV�7!`���/3��!9Z�h3�100~%~}��������[ؚ0��8:x at 1|�bbe%�b$��56q'0q�rLOgk�����k2>�v�P������Xۛ�������_fz3��",��&��Л�;YX��2�	��{�_�ؿ��f����W��ˎ�����_�/?6.�K���~	���_���v�K����/�L�h�����U��O�/��F�0�:�O������}�3��$�7��{Hl_��M����zs�6p2���2��9�����}5$�����C_���/"�ˀ���K\�}�H�����C_�I��/u�?�.��e�З����KO�}u����ԕ�З���RW�C_
+�����:�2�1r��J22|}g`�"%v41p���1p6�"`��d#�r�&`b'`��be�be�"%���p�03w&���'��@��������@�����櫆��5�������
���5��?;��L�L
]M��	�-��	
M�,l����$ikjG��?ac��]r5qt�2E@�MJ�/��v��
�&�P�rv_j&_^�������\���
l�)����u
k���agc��l�H kgl�h�ߩ�&�cN������W%�
�-�mͬMhY�X�'n�$f�nb�`�ldN`j`�d�o������|��_��R��B���h�]T0��uV�7!`���/3��!9Z�h3�100~%~}��������[ؚ0��8:x at 1|�bbe%�b$��56q'0q�rLOgk�����k2>�v�P������Xۛ�������_fz3��",��&��Л�;YX��2�	��{�_�ؿ��f����W��ˎ�����_�/?6.�K���~	���_���v�K����/�L�h�����U��O�/��F�0�:�O������}�3��$�7��{Hl_��M����zs�6p2���2��9�����}5$�����C_���/"�ˀ���K\�}�H�����C_�I��/u�?�.��e�З����KO�}u����ԕ�З���RW�C_
 ��KA�}��������C_��
��k����`��8�����S���˪�_����
�̚��_���
��e�~y��
�LY��_�l� �+ۿ�;�~�p�
�l8��_6���/�ᗮ�_����ף����~M��/����/���7!!;w/گ��������}�
��;Q�����DR���������ߨ�������,_���eS��׭�����ʢ�w�eJSH��h�t9(�NZI�xgpC7��&7Ҽc�	�
b0��EB�t��)�6f�����2}�2�,
 e^�2����7]���^x����}�f��U��-�N��cF�|�������[_+����Tc�d(��v�$��[�c/g�vv+E�����?V0{7f��a�8#sd�K���k�.)�
��S��� q1��l��Qy�`�
��V8c��~0ٰx��
Ǎl� ���f��Γ�
�ǯ�y �d���wf������5
 >X#
]�-,yC#�T�"���WVX$\�ص���UfǶBSݝy���#��=6��˙}KX
TgW�	r�Vp_�߇#Ϳ;��e�Ҥ��}���WW�Ȫƾ��[%���uU�� 
������^��
�R��`�
@@ -23326,176 +54411,176 @@ P
 �
$P7
���fuL�Q�ށ1Y��+=:$�V~wk��
�f�x1��Uji
� h��X��T��TJ�s��h���(me�ο=�F>���A6�J#׎�?�z�J�f-Y�Ib���m!�q[	��PXu�ί���
�Hs��,H��
c�z~�Y��B�H0��B��N����?�����6z�1]�
Z���r�2^O`�vLv��%wm����=W
{�U���R�&$�8g���2����+�$t��+f�>��\�K���֦��AMN$oB�Uk^�;4�4�:�
� �U�w������3��:�]
a(�w�K�NY������jK�Y#�w�R!X���TS��9�<�8���Ed�wɂ����O��6��J
8��r��K����f�{���Ƞ��#?;�1�Gx:�������@O&�m�`4O�]7
�:�4�v`�:7��x��ɛ�)?h	��	/�TJh�G���|���[|��+�Y�千f`�i�]�~uY�E�
s�DBP�E�r�
��u�{����n�.f�5����^?B��5�uى�-`��cT [...]
���;�CA�w=���r��c���'�^�
�Lpb��04�\� x
�+�Q����\�u�ߴ���F+a
�����@���
n�@r�>��������z��
J�f���-G�\�o�
��i���9�s�~72W���*�&Nq;�0� ��T��6�7e�-�~�M�|��Jw�p���Ks<f3��@�T�?+��g�0��x�l	La�"P(���X$~9LJJ�_5x��
L��x��!`�;D٫�٢�D�@qw�I}_ۮ��֫+ �9�H%�
����̿�BĘq��䍡ߤABX�<�^%y3�+��/\B�"�L_%x�*�KK�%������z�^�6wf� 3��<I��1m# ��g
��
\��_C��&K��H��(�[DsSW��n�� �[�}	�No9뷪�ϰ�?����B o)ش���EA��)��)":
�ùK�/�,g��M�r���z���D�D�ֺ
j�{\&E2�ټqG	��S8��km?��]n��u�
 "�g�-�"��4�"YY�`������`�:+n�uG����6)���P�F�+q��F)�#����rӯ��M�GmR�0_�
� J�J�U2�Ԏ�
����
�	�m�"7���n��{_f����n�
����
>Wl{�$g�G�o�Մ��-}��
2���@q�%��`�i�
	�U̴i�����!�R�6J�s��� �lo�R"9rЙ��x$�}��w3���6�U9�i�ڦ���R����Y
�Fz���8E/�k0H
M-T��%����XB��S��i��{r�q����;%�U�5��Q;�����
&
��&|uC��7l�@� ��=��`�݌S�L?���DP��<?�=@�ܣ$�F�!�F:
 s�k�yʠ ��B��^L�

���%ൄRI�-�DJ{���*��}��P�h���)�d��.����������c� A��=~��93��f���g���F�Jl�E_ѐ!W�D/�����W�c��������d�R��B�pV��zE'
�ݞ����l�Ӟ
҉U�RbI��ё����]�[&$�r��[kO�x^��vΙ�w���,����|z��v���fl���g`�`��\�pG����ԫ��k_t_��޽�x�U��L�J��1�V�s�����lP��wZޛ��e�cB����v���#�R溮o~�}�:�9�6�>"g�:icZ���+}��M.�^;����J��4��Ux��D�I�%~L�:�t˒�V'�_��;eq޴���y_d.��Um��7�e��=e�/c���~���̽�og(��ϴ�����^�f������_V.'�ٯk7�}�2���-_"�[y����
�'R�٪9s���M�t8"�nʗ�
��*.�=����w�SWO��xg;������fM��?�+Y{B���{��p����#��[u\�+�_0�t��',G�
.���H+۳�r]~�ӯ}�ޱ���F�
5Kփv��'����,�ը`�\��2h�
-ר�€��Ģ���Ģl. a��jendstream
+ר�€��Ģ���Ģl. �W�Gendstream
 endobj
-672 0 obj <<
+667 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3488 0 R
+/Encoding 3769 0 R
 /FirstChar 11
 /LastChar 122
-/Widths 3521 0 R
-/BaseFont /WLDCWZ+CMMI12
-/FontDescriptor 670 0 R
+/Widths 3799 0 R
+/BaseFont /OJAWEB+CMMI12
+/FontDescriptor 665 0 R
 >> endobj
-670 0 obj <<
+665 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /WLDCWZ+CMMI12
+/FontName /OJAWEB+CMMI12
 /ItalicAngle -14
 /StemV 65
 /XHeight 431
 /FontBBox [-30 -250 1026 750]
 /Flags 4
 /CharSet (/alpha/beta/gamma/delta/epsilon1/zeta/eta/theta/lambda/mu/xi/pi/rho/sigma/tau/phi/psi/epsilon/period/comma/less/slash/greater/A/B/C/D/E/F/H/I/J/K/L/M/N/P/Q/R/S/T/W/X/Y/Z/a/b/c/d/e/f/g/h/i/j/k/l/m/n/p/q/r/s/t/v/w/x/y/z)
-/FontFile 671 0 R
+/FontFile 666 0 R
 >> endobj
-3521 0 obj
+3799 0 obj
 [623 553 508 434 395 428 483 456 0 0 571 589 0 428 555 505 557 425 0 580 0 637 0 458 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 272 272 762 490 762 0 0 734 744 701 813 725 634 0 811 432 541 833 666 947 784 0 631 776 745 602 574 0 0 924 813 568 670 0 0 0 0 0 0 514 416 421 509 454 483 469 564 334 405 509 292 856 584 0 491 434 441 461 354 0 473 700 556 477 455 ]
 endobj
-667 0 obj <<
-/Length1 1168
-/Length2 3172
+662 0 obj <<
+/Length1 1225
+/Length2 3428
 /Length3 532
-/Length 3957      
+/Length 4236      
 /Filter /FlateDecode
 >>
 stream
-x��SWX�i�D��0��BG t�	������JQ��#��Jo"bA�a�b��t�"-�"�t�3���\����^{��]���rN�0
��$�0�:R0�w=�D HuTQь
b�x�
C���
0	
 �Z BG���ҁ*f��2> �
-��
�J�LB at 2
�!�j ���b�+	���	� �|=A\@
-Hq�P$��T�
��𯎬��$@��W*
$S� �� �"�D$D 8�
-w 1�N�7L�(nF 8`B�����1!xBğ
RHh$�$
H&�H��0g��a!?f��
kB
 � 
������#��X�i �	O�����D܏V��f����ej���\�%�0x"�-"���b����%2�� �$��������eD,	�' (-m C&c"��
bDZ@�q 
 i
�pu"��80Z���ЯcE �<1��� x(cV$
$2Z��Π�0ʸ�/L�c(
��j�w.C� R(�0Ɯ�F�_ך���& ��Đ�cZ
��P2��o���!�J"}
�L�~M�}���x�?���~��Ű�Fy�1��D0��{�0�� ����,�?��Ɵ���
�f���ɘ;�� �dȒ1�o��;��Ə����R���hQ0�
 ��f
��tt�b�Mt'�O����B]�[�
#�{͌��+��3�
i :2H�
:
t�>�Z�Eio�~8�N獥�#����x\��V��\ ��^<Sw�M4�O�{([�|O<��챍�����
-��qZ-�î��i9ܟU���m'<r�����o!��*��l(���*�-�z�6oMr
-
t�pP^Bg�
-2�,"1��Bv��ԥC�ڳQ;k'Q�e�r����f�5��?��O�yޤu`q�n���l�mE:E>Y����i��QCݡ�����ю
�i���޶�
3�̸���vR������9B�I
�;�
�O�^�߾�L���(�ݮ�_�Q�|%�De�ᖻhF��m}�7e�m����HA���Y�N!��S�4�}X�fNC�e��ܪ�����e�q!L\�W��}�C3
1���2Z�&��Cu��N9�6��
��J��s��@��w7
-��
aN���Ԯ��:\;G��%�%R��̵u���}�����A�'O|�DL(.b��	Rp��G�NQ�E��Ņf�e���/���s�z]���
-�^�w�O5	]I�Y�Ng�x�^�SJ��7#8O�7�]&��dJ�
���e
-�d���s�ma=
#�KY+��t��-l(ԕ=J�@���[>{e��B�y�H ��~1*���2_��>Qc��>��춏_��g~��t,�������PVA�|�ӐX
-�����i���\����bڽ%�9�8�`a'u��t���-k�}�~
I2�6bQk���
�m��kő�j����(������d��]zso�����ѧ(6��?%�fʏ>i��uu���>�ͽj��:}"�?�~~���_}��^��/]����$�](f�^���R}w�
�jsw�Bp2��k��䁶��%��]M��
#U�&��F�#S[_<$U�f��
-C���F��U�
��AY��-��D��M'v
��.�N/޻pٖ:oU4ů�_21&<�@'[�x���s��P�gk~�r�Z��>Y�V���H3u`5�E�y�?O�z��[bw�N�M���^Y�q>@�	]�"��c[���x�jL{��"��<�6dg�x0�K����k�
��
��{&�;�g��$��*q��+�&GV�A��loD�]�4'��&�z�N0�
�|�94�}�Ԝ�G���j�īܽB�畵i�g�Oo�N��dV�-�bd�������u*��r�+�
��D�=�C--�h�=�l��M���A�@�$�CXN�寬�-�Qy���I�xg������)���Ҫ�3XL�y�+��ĝs����E㙨ԝeJ�
�ˈ��3��z����N�<��HM�}J��G��(�V��1P�1y�*���M��c���O��&�(�>\���|�����ῡ�^A�H*x�<�D�%��,�x\�Z���D~�����h՛��f���;����g���g�)Wr$
!V���
�MJ�
b [...]
HM

�{�x�uP�g�{%3��3)o?�'`��<���ߺu�[��\��
�~uG�jb��ɤ���+�nӦg�f_
��*�:�Lxvs�7��2@��޴�.��=6�dž�L��ܛr�"Ge1�1��
�������?��/����%���>��Q��6���	��MeM2��zK8$ �}#y�k����]3N?G��8DMk
��w��xQ	�S�<jӗN=H䵇�
-���#*��j�f6�ll/��/
V���|�s�|"��-z{I����@DG�f�n��>Xn�g���D��T�pKR�e@�	��n?��*? `�eT?��d7>b�����B�6G[lG |Q{��`Mp&�Z�'3�U���N��P��W��� ��U�i����]����g�մ����l�z�C���������N��/X�����#N�j�Q8e�'�լ��L��NFs3�,pȑ�Uά�{rXP��ӗV�&�r5����ѣ�I%��Z졵����T��h����
�2T���	�Aeӿs at 4K�Ig5��Ke2j>s���9���۲�G�
"j
D'#�L���i�
�-�;�rv�F'�|�F����W? vO9���h$��Yد���<���d��/�Wŕ+�n�|Y١�k�j����1�G�PfXQ ��z�H��o�����ST�tY}����%H'�
���Z7��<��>��GC���m߲d�G��^�EŞFRfj1��[ϛ�tL6��u��%VL�.�n`D"����&G��X��{��;?�
���i�R.݄����
wI���MyU��m	Y�}��i�yT�~�N���v�X%����Xϖ+�E!!
�yw.�\K|)wI�Rg��Y����5_3�]�@T%s/0��=����Lve)�9�Ѽ�I�FVA�
X��RyK3��M����I�yÀL��ې>�}�o��r���I?�%U�/�tk��
8�%d��<gd��l��"��e�!rщJ�w,_���U�K8n�����򉗣^
-����9-'�حF�VLk��i�2�C�y��5A�;�'=:�f��/��|Ph�k���������]-�����ڴ�7i
��^��z
������P7vx�_�i�Y"�-�P|�) �1D��k�C�D!�O�2F�;D,T��0�X��
����S����V]�-�"�k����l0��T�©<-5t�]׹[�s$i&�,9ǩ�_���y���=�Z��n��
��'�V+�y~�vس��_ܐޗ���*��J��˘?zM
e��֟(U���ߟd�`�����P��qf���p���]��y���&[b�^����k�� rܑ_�A)�b��X!�P�잌Ybس�>��T���b�E���OǺB�g���K��߭��^Y0J\A&��s�d]�����g����ܤZ��ˍ�׌
Jɋq���l�.Bv>�tс$2��ɚ^ˬc�5zX�d�~ຑɯ��
zyx�x�\;��yվȬ���!}T�?Vz��8�r c��pLY;�4Or;{O8P��;��E��}�	�)�h:��1v�u
~�V�Ƹӧ�-��$�'��g!qJ��b��
z8f�hZ��>�|���c�d��mZ� �����r0O��•eN,�c=�L�=�O��Y=��]#���\��"L^�m�4���϶\g�ܽ��\�_��~�B�"�6W3�
�������	,��
9�NI�endstream
+x��Ti<�mێ��!j�#[�kQ�����(�3c3��/B���-[vB�P�}	�5kȚ♺�����~z�̗��㸎���FD��\ZC�u��4\�h�[�a \�"�(2�H�F�A ~�
�t�pE ��"SQT�� ZDo�@ĵ$~��Mg��C��!�� :S=�(<`ND�@��
���f?v�f�H� 128
���d�������D@������ܨ� qjH	�C$�
h�5"R��I�7B�n����������(g
��O��ŝ
� C"$~�^ �gbp�ο�zd
��$`�  
W���+�A��tq^ �GF; �(��	�ߣP��3������9B�Ͼ�$MP8���`��?��_kj�H8/�&���B���_��
�C@18�STP$�B� �J�8�@/jbY�L�PK��I�m���8����' d]��"b� �ZB�7#G����8��a�,ʍ*ù9Q���KK�Ńnn��;���Ts쏱����P d�p��H�0E���
���o��25!��B$�x
�$N� pԺ���dq{
G�Y�
ă����¨�@����G���
F��
	��n�'����c��T'��rɿ�Q�'��F%��?��
@;��N�CBa~��_��(;<�'��ӈ@�|��Nҧ����+�ʊ��"	8WwPO�Z!���v'�����7@����8�� A/
�'�UC
<����ѝG/˼�R8;�H��" ��7W|d*�%?�K/�]���s�<Z�>'�o�ѭ�k�e7S�.�	T��yg��
|3�த؜^���ä��*5���a��5�k-
a>!�3�7G�Y8N��=!ħ<��8B���=2�+���ڃ�3��!=
7ݛb=�j,vk��I���GO���f��O�G0�؍o��x-@Å�DV̳��o
�
hsa�y>���g�
��"G��C��e��VC
��L�;��H�
��F�i�N��mw�D����>1�ele����c��
>��Ug6�<Q�2��Z}~\U��_��T;����l��pS�нl#���yY��E���'��
�M�3�-�D�tw�j�F#]��[����W
+��i��j��T�2M~U
��	�$n��&[�z)?�U��L�R ��Hc�ƻrRp`u�1.TJ�x��@�-�N��
�W��2����UwK�
+^��g�8E��-���G2��2�
Hq-����J�-'��ݴ�x�ԙ�y�<߀�ދ��4�)������
q'G�4.

f\�o�
�u��0~6��
�!�r���R,7=�"db�1(Z���	9I�iU��1������f��S�\���{�m��gpZ-"睷ߋX�!f��}(��]]�C5�f�V"L�ٮrņ�9��RZ�^�RL�ex����&1���oP�$���@è
[���
+����������y��_V� �d��W�f�|G�Mee�m}H�l��T*�%���PA�H����p
��PsY{���Ki���
UfQ���B����
O��_
Rl��W[��J`����

]��5�6��y�â�B��C9$�L�m�|��7)8�]߈ܸ�ϙ�Y؊��v<)ϭ�F�;s��L�!�(��Pޡ��js��U��X�c�p�陳���9�1%ת���c
j���ŏ�pz�kl=�
.��a�9���,�
�;rz@	�{̱+�����x˿�t���
~�_�ǵ�,�vN'�<�<R*}/�F��+�
j�Pf�}���HB�0����<��~�������;q
�
+fX��c,�i��s7�DG�y�
T��Ty�u�&߻N8�6T�݌i��|=�����u|�<<i�װ|r[�M�)����7���>
�
�1
vD�~[�
�ʻh��rd�ۭZ1o�m�I��%��~V(,n)��u���YKqt�h[��W��X�m�������##��4�9���Ԉ�.,C�[�+S.]s�贇ʟ���_g�%>Q�k/��tIX���#��d����t�ƴ���!Oua	�J�_b�TM[]�Q(z�}^�F�ь�� �ex��ٱ�'�S񴓝y��F�s�0������9�G��jp"��S6���R� �uܸ�T����bo���n��ՌG�Э�N����R�OUt�㞢̔�	�Ji��t��i�����,�Ѡ
+�����)W�4\Q�j(,��K��K���զk�ǒy��flH�gm��瞧���
Zރ9��0*��2����S��
�=�W�w��ڵ~9I�~�Z�F<��)�p�T��u	g.>��,�r�"5�L��аJrXST�`m�n���ō��V����K~��+�L[Qp����'�~��mͩ�ig���6�.��û�u�^
��3r(�N����

+4=(���]s$���3a2t�MM��XӥOE��󛐚���J���)�W�8h
��2���)�:�T�-Y�|坥�Aֱ���+��^
�G���]k�,�Y���U�=�g�K�
a�9A��
+b4t�$�CtO
o
�z���<p)�}�e!Y;w�X"M�]��"Ѵ�š�&��⣄y�3���
��֫*�m
z?�v�#�>NďM9��
�6�d$R�.���Y�
(��sW��=i���>��W~)[�ѯ��X���9ڢ�4S*�E�N ����T�=��U�j��

GnUNDt�CdA��%�ct��*�(�muw|���t�(��"��?)U=>QS*U��}h���
r4�V�"����ki���ߘ��pt������}�.׹
��t���4Gax+<a�S�/��')
���ޒM����39�LwqC�i	*��s+=\s�­9�Þ��<&|
�m9�
p�vf��A�V�oVm��)�
�c��Ln����O������
va�ؕ�mQ���g\6o���(��ٲW��qF��}���u�V��7��3�Y����%C��e&<#AB��c�����d�<!^��|��i��:I�R_-�7#N�4O��/�{�P���0b�/9E�+/�����M�2u�M��|��Ds؅�ް-0�\}�tG�>c��Ί��x�xJ�����[�40q�
����q� ��)�&jf��ʬ�R(Ȟ}A�Lk��|�[���ͨ [...]
+�
a�5Kf��
a=t��{�͞����[�O(��NS��#
9�1k}�2H�gB�j}�7A�J�t���跆	�S
��!�

�vS� ��:aH��ٗj��U�:UO��
$��
�^n[�
+��}�[���^uT^�
њ ]��/w��g[5��ԯ���}���J�i����R�lކ���dIJ�;�*�+�x������N��hE�r
��?*|�t��/�n��p��"�2ܜʇ`
+N����}o8.��lwCo�b�.Pc�u���_��ɔO��}I�+Es��oP�~��L�����4��������,26�.tC��	O����q��
1X�1��ۍ�!Co�lV����"�F��Z�-��.,�ڨ�6Mg>��.�STź��x�c�l��Ѷ���yǩ�:�o� 
M}�A���Мg������fsDF��
+0
=S�C�ԥ�,v)&��L�lv,9��o�R�8����2Q�Z>T��v�S��t���Ɍ!;2
+ӽ_ϰ_�i�,Ih��j�]��sc��Ӎi���B
+]���O�m�\�hv���eb��C��eiY1Aq)V�%Q\u�k������
r�|Oo��F�ۦ�ز�.����l��n
7�%�Z�V~ƟܝGr���f�#$�?]"�pm�����c�L�,U����a�
��
�<
�W*QuY���b�'C�\Mngz
,�����"�/��6u��[.���K�V(%�/����y�1#ǝ����<Bm

CK�xB��h^�R����o�Ĝ
�]��z�~C٩���!q��u{p�HJ����*`�mϒ��9���r͝�EVPK�ZRؚ��(]R�}�NE�T���V����][V���ͅlS/�B	��ۮ�
��K
�U|�d=�'>�Ǣ�l
����;A�՜u�!N��+���i�~ɿ-z�
�[�Yr�{��R����B���.B7�#o�@Khb1S�78�l�����(l��~
�?�@������Hd�3����E��endstream
 endobj
-668 0 obj <<
+663 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3484 0 R
+/Encoding 3763 0 R
 /FirstChar 0
 /LastChar 114
-/Widths 3522 0 R
-/BaseFont /SVZXBH+CMSY10
-/FontDescriptor 666 0 R
+/Widths 3800 0 R
+/BaseFont /EOYESB+CMSY10
+/FontDescriptor 661 0 R
 >> endobj
-666 0 obj <<
+661 0 obj <<
 /Ascent 750
 /CapHeight 683
 /Descent -194
-/FontName /SVZXBH+CMSY10
+/FontName /EOYESB+CMSY10
 /ItalicAngle -14
 /StemV 85
 /XHeight 431
 /FontBBox [-29 -960 1116 775]
 /Flags 4
-/CharSet (/minus/periodcentered/multiply/asteriskmath/lessequal/greaterequal/similar/approxequal/proportional/prime/infinity/element/negationslash/braceleft/braceright/bar/backslash/radical/nabla)
-/FontFile 667 0 R
+/CharSet (/minus/periodcentered/multiply/asteriskmath/lessequal/greaterequal/similar/approxequal/proportional/prime/infinity/element/negationslash/braceleft/braceright/angbracketleft/angbracketright/bar/backslash/radical/nabla)
+/FontFile 662 0 R
 >> endobj
-3522 0 obj
-[778 278 778 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 778 778 0 0 778 778 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 778 275 1000 667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 500 0 0 278 0 0 0 500 0 833 0 833 ]
+3800 0 obj
+[778 278 778 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 778 778 0 0 778 778 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 778 275 1000 667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 500 389 389 278 0 0 0 500 0 833 0 833 ]
 endobj
-3523 0 obj <<
-/Type /Encoding
-/Differences [ 0 /Gamma/Delta/Theta/Lambda/Xi/Pi/Sigma/Upsilon/Phi/Psi/Omega/arrowup/arrowdown/quotesingle/exclamdown/questiondown/dotlessi/dotlessj/grave/acute/caron/breve/macron/ring/cedilla/germandbls/ae/oe/oslash/AE/OE/Oslash/visiblespace/exclam/quotedbl/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/ [...]
->> endobj
-641 0 obj <<
-/Length1 2328
-/Length2 14761
+637 0 obj <<
+/Length1 2292
+/Length2 14536
 /Length3 532
-/Length 16024     
-/Filter /FlateDecode
->>
-stream
-x��UX\ݺn�Cpw) ��Kp��;���\�[pw����5��m׿�\�̵/Ϲ:ϡnh���G����
-�'S{c����

#
/@TNU�����
OA!�4r���3r�XxxX �\��� N^v^vNx
-���������
�Z��F\�O�@'K#;�����ԇ��
@�������dcP��� e�3��
h���0�4q�-���1��3�p�wl���?�܀N� ) 5H� R4���������A��L�ߐ�ߝK������������������_-�m
\]�N 9{S����n��o99������~*�bdci����`����Y��h�h�bbpqr�W
�3���q�/&	q-�Ot����z�hdi�����^�i�_���q�� �0323���>����z�������
hEpp����<�AKD
 o���)� � 	31�ٻ�� ��/���	���dc0�
�����w�`rt�w�ۼ�
 &;W[�����=�0����9�G\ &��	���=�0قRg#�h�;��׋�{��O��
���	hg4�+e�W����zv��
g��T�����{ *������=�c��`|�����-��
�A�8�9[�'�J��N���{;࿙d�������b���H����}�8@�f�n� �:����
�u���
-�k&�
H���o�j����K<�tck��)'H���>X� c������s����9���Ҝl�L
�����=��;q��?��Y�@����{'�����
$(�N ;�w�I��I��@2��	�"�N �w�Ƚ�E��@.
-�&n���;�\��	��N �w����E�@.��r�x'���;�\��M< �w�;�X]�c���A�.c
��������
:�XZ�X:���
-< eW�a��lb���x8�����޷��w�`�obaa��������_�6�
A�!H��/�Y�� '�$e���ދeaY��� +��d�����B���_����
AV.!���/Y��� +�w��L
!���/Yy�������V���_~�
�j��뀅��_
���������DD�=�X 
��K��7'��6S��
�b�����t�����:�Nr���U�?���,A�-�4�_��7�
�Ji
��'�?Y
-M
.b��M��{�!x1ܦhDƑv�V�,
yz�����9��Gi\�,��[��뾛�~�W
��e����]�J[���1�����D�����G���b��aWI�zt��{2B8�4%�m�¾�R��*��:�g[sGM��Z���
-�k�[��owĖ�Ix5�4
W7|�xo`�fJ!�#�<��K'�9�w���Դz�E(��aw[�P�je<"~z�ӔTq�O��E�N��j�2!,�!#b"�%�����zv3��kG�����a�=d�aG�\͊�&R��:�Dt���NX�W�/�[F{
���lCdF���i���	z��^Iwyz��u����֩����a�
u1X`,���Q�\,Ş�U�u�ri�1����,6��}ܰ/X�
����H(�8~!e{�°�9M��D����J
��8��3���K�����$>�ܚ��I[�������(@bu�k�i�����L7_��<��O{d�Ko r�o�C+-7
�xA��E���������L���΍�
�/�n��5c��ou�p�3~��˙;6�l at 5��'^fB������zP���R�-�B�*���f�[xp��T��B�К����
��������mk~��@��nN�X��p!�kY�c)z8�yy�[u��|�qu�
( �I�Z���@B�&I�&��wZ�R���R���x�p��v��-z	���p{e߆�́91
=ʴ�U�>؁=E�6O
�\�v�gR��bRHC:hG7��%����n1�ڄ�½Q�:�rjSo�T�n�S*[�Z|�zkM��)�"�XG��}6�"#2��.uX�'���R	m�C����cNuf�~�R~P��~c��$�Az;Q���Z&-�d��V at Z��0BZ;� ԇ����VK<�)9ln�XO4�	���
bhS�S��'EMT��%
-�
��������U��8t)�I��n�7�"��bIJ
�ڹ�H����z7<�
��{V/�Kg�Fk\$���=��h
-q�-�vdxl�HO�c�<�n���<�el=�I�I�x�/`���sL�!g��R�
�Q�7PB����-���f�p7��-o���b/�^�&��G��q��i�P�V�l�Bt[�$rH��N���j��6�u�
�!]V�r�&s��g�
�G���iFR_�l��VWχݠ��������ΰ��yay��]}��E�k�V�R+6����օ�se�"IZש�

�~�cM�i�13�
-���MW�n�O��9[9]	�Z�mFt��]�Is�
+��`��j�7�K���
�rܸ`��]k8bӳ3�C���/��
7H*����q��L2\a��D�{w�ɛQ\Sj�_tۼ�/�Ǽ�~%�ƻ'�l^�H���e`
ُ[�T�
�LгS4?�)�@tP��������V�nKPM: 8�
�����;+
,�$����&��t`�O�)�$H1m�<HwH��+�+��W�:4I.z>��`�<vq|rk�
�B[�TT(���ڛ�к9�o�Yg�v75�	�t�\֏U]��������5mt-.ze��ҞFM��b�F����[k�.a]#x�c𚿉�Iv#B�-��ӌ��
4Q��
-��
��/W|J�w�a��9��L���=����f�
-�&�:�?�~u��ܡ�=g98@�D��d�؋�v�]�M�
�B3ITryx|��UtF�QFN��o���Q��Y�7%A��/��v�}��Վ��'=xM�ɡ�a�42ֶ��%\ֿ����'�]}�Ҙda��W���u{�a���l�+�
�t���Ҕ��uD��[��E�1b^���ĵ�<���B����1�0Ә�_��r1�E^>�v�#���ofOI�SOh�V|�|^���Jm=>��D�}Y��2ɬc<��%����r�i�ש�}��(̓��(�
-c�h�p�B��vVp��"ҳ���IO|a	�:��R^cM"JߟV���ONj�) �&���������v��[!8�
���ƔK��Zၙ���v��eɈJ2*�~���i
��Ȍ��\
�S�n‚h�e�[Ȋ�e�'�ߗ��Md�;R5R�)�Q����Z����

I	"������ꋦSm�4�wh\�N���?�Ǚ��,�[�V6\7�&�{���/�4i�N�'�����Lf/{��2^o�M���:~b�(��U�銸K���'���-?�Ř�����>��
]�8F��ʅ9R:Nq����{�'"Jd�
<Cܹ�#
Zm�k���e�����!3fe��]��
j���
-<{l�225�,��J#
~&T�ax�������s%�ҕï֜C�.�9��sv��f��O	u��C�F?���9'6�`�
3�Y�&�Z�:bq6x
��ܦ���w���
��n�{�W��F-����P��|7R2^ ����#G-/���4�a��
+���g���r�����}���Y@]��`�q��nO�M���	��f��
-��YL��=V�@l��*�����Ro�H~V�t�o>�s�����'K�x��|�Iu
-p/�@�Pi�24��p�
���uX�Ҹ?�z���`d����
��Rつ/=.�}�)e$Vz��q����m�-]���B�$����� �[F����N��v��
���
v#��r[y�
��l4v���ږ�uɛ�I|�������E�E�y��"ǯS6���*����E(��ch���#4ր�Z�K�~�&,�G鄶�Ǡ���e����Q�!�A����/�:�#
���QKV�[��G�o�?�k&�M�\TC����Vӡ�Ft��Un��'2���zX���$��sK���!<;����dv%�Dj�2���%�O�zXil�ɵp�Tf��VD|��u�dƸk[��L g�����$��22aD�I�#���0��l،
]3�� x\��ן^kV
��/�Y\��/m`=>ʑ�
;Ǚ
�]�?x��G8-
�R�m�P��J���ϯVl"�X�H����T�OMĠ��oMP��
[	eS�9_�^?���A��|)�~
��]&�$��N4�5�au�I3��R
�g��M��pڄ�C�X�F��7�k6��Я.*
��/��S���lwƱ����v�Z2�,I��lz�$*��!C_���
����Scg�J���1�
�Cu��-h�锍ĉ���
��?�bpEV��
��6>%�r������� כߝn�\ �*���_�)�\�T/P\u=j�ۣ/ix�\Y��V
d�v֘��
�$����:~�{��9t�%�������$|�
(�+4U(��$Ήr"�+���Z��(G�F�0�nH��Y�Q\
�Vu���R<��Y�l���B�g����EKOx�m��PfT�u���Y�я��6f	W;�O�F�#� �g��!�53p��C8o`��\�cnW7>_���鱕{Z����v� �H���4��s�ŧ��K�-�u"w¹�哌�����fk�����3�
-z��ͤ�A�'&�5�}� c�"c+�ŐHէ��=>��ǿk�7I
-�V�
5����?xT\�5���E�ܴ�����:�.E'�5uy�a��+�E�'�;��n�W�[�xa޼���D��IN�
-�9;]52Vn1�(��`cr�zI�_݋=-(7�t�&皶���*�䋢�%‡��tc�����pQQ�U�
3��1��N��D(�����+q�@�,�M�A{��\
�衈"[��H�Le��gkJ�k^,V

�Y�
�O�If��@ ��� ��Z�o�;�vQ:�'��
43�9�!d����``���$�km���&kJ
A�v�S��y}��I?]�?_�v��22U�m�c�
%z� �ugJ�#�%|�iwpO�<1w�7z,���z=��n%��	m�Z١8y?�\LQ��eE�+pBh
]
r��P�ɔ�5��,�����������e�xaW�m��>jn
>���
��A���	?���:n�Ծ��>��a�Nk5�
��Ӌ#�Ҫ��s��ؾ�����.<<�U7^	
��L�<��m]�u�/\�?���. H���m��W �r��|�7CК��:��w���#�\TQ~.;�jj&��$v�6׀�Q
����N�d��fhv�KG�C�%�M”��#�����+ay�w�R���y�#��(2e�F���܍Oqj�2E ������c��pӤE�
5œ�#�A����c�1?1�]
b�On��ὐ,,��䣣���
���"3s�jރ�2n��+�'�����}Kz3z�����NVU������i���0g
A�h�~ϳ�W�.�;�C����$�/'��^����˼QFͣ<�2ך�ġͰ8$�ߛū�az'��H�-��/�p��ZR^~�R�w��.kVGj|+�O����v]����l�;
-�L#M_DvA�S�� '��+f
1"Z��r=�=b��&]9G�6�~Uܝ�^Pr!�a�o��)�!HTSO�@ya^���9��y����;T�q�|3,
����pz�U��
���!�
���KuB��@�O��T��R�T<��d�2�H�M#.�c8����څn�eqF����k�OH�a�)��2���"�믋
-��>�0��.����M:T�����
-/�#�{R
��'V��z{�Q�e��\/�J��A���J��֒k!�t'��x<��-
�}���K���o*U�hK%c1,�_�X)%��+I�`��0`��>�(�ˤ���d[
���"5��6���' ��j\����sk������'
S���=
$p�,w���Qf~mn��]k3��
fl��1U�
1I���&ՌTb�� :�
;TZ+G&��
-THˇҼ$�mo�	�bR%�Ʃ����㕆�%���l��?
�r¨f�.��\�+zb(��1��ҫ��k=�~r���b�k�l����*&�u�:��kpz�I
/�7\��m�(��/߼��'��O
����jCk��ң�N�	'�m��i�w

��s�!��P���E�WV9r�6�?k�
��C��O�Zݱ�U�DbmE{Ɲ�}q�mv$�J���6�ժ%�����%��VK��P��g���K&‘�m��
a<C��{��]��AF>O�[����X{��-���$vy7�҆pld{}��1?#`�R��1`
}�6�ppuX������Hrڽ
>��ɛ�h���e �x�>ڎ��h���$�>�v�֯y�E�;GD�]�^���$Z�31H.t~�+d{c@�f76^Ue�{�l%���Ƣ��')'kS�P��1똩��y]�-C�,M��z�&�PM�;
n	�ͻ^J���M#�
ä
)��
-	��
d"
�*�+bD��W�r�2.45ݓ:�,���I��h6w�$
8�
�n,ns:�8���,I�ĉ��=���P�b
ܫ*�dO�ӁA���a&0�>z{|�G'�7_C?M /L!�i$��ܶ�%��DRM�؈��3}]�O���
���������[���
"�d�-�?M�
����s|��Z/ӥzJ���'�'%�Vu2��<�A�8ʤѱ�'���V� 
�Ѩ6�<p�"N^�ɆjpC�x��~}��k[�I,�1a K�������۔v�]
����どnS:��C��\|

j�^�@��]	9�ɗf����4�����6��Ƿ�JL$���fBd��󒮣ڍ#�k���=@�N�����y���9.���e�cAN*��M���-�%������
��~˯�hT*���
*�o'`�>#f:�R%o�ɺp܃����ӑ*ڻܖ��v��8
-\�H�
Q
-���D�@����������X��M=ǘ0��NI�gl!y��Y�#�n�m�9�6��R�g(�(��Tߗ�L�(HHU�GN���9��K�����!9%C˲4C�	�h
�t������%����g��1�
]0!���ws]
-{D.��)�&��
+r�?�
�T�%��-�zt �G^p
P݂s��u
-�x
�$�S
�9��Ƥ��@��J������=my�< �yl�S�P�;�
U��Oo���6��`�h�w(��_H�?���f!L���g"��]��� �
bi�EC�����D9
�N�O����m��|�� sJs��&�Iڱ��/���
�|R�qK UQ_�ه��)Vx!�[���^�ķK߳Bx;����p�d�(���V��4��}��EH-��:3,�Q>u�	�����0��@&@[��1�/
��c[�ۺ�����_���Y���K�	F���"�0��z+��#7��@3���
=K ��4�V��p�bn��O�N�Ae̛8^�^t��
1���|?>�"���\84^|+M��i�h
_�q8��ƤQ�/�D�.�cF��e脃�TAC�N��D���W��^�.���M1�E��*}=���N۠a���HEĎ>À�� ����7�چ8}������]�n�@7��
����y��l�V����@�;���IAԫ�f���iԞ�O&�bzGw5>�Z*Š<!��ǚޤ΋?��7NC�P���S���l��¾gn�4�ʿ�ܡ��Œ�C����+�oc����ʥl1K`cj��Ʈ��2�|���n;ZE����Ӥ	�f�s�U�x��
tGM�]�>�w %b��
����8�7keU�֟ +���<��j� 
�h�~�
��-Z��
a?k������wiF���
��ǡ���`Z;�b~�M��:�7�:':*	���*br#&�=y������q_
�%�
4��0J�1�=?7G3
��h���k�5Porزe��x!��K��O�9�X �&L��ۄ
��s&��H���/����p$�w���7��m�J�f��ǜ��LOn�kG2_6n�ۺZ�[NIs �xF&P���11
rL
���b[��rx��͓�?��R�$��:otP��R��n`Sf�u��V{Z\=�Jj��
����k�������;��

����Q�wd
��(e�E�S�~\���]���7�r�
��[u�[�X�8,l��z���?��L�L�-���]�G�F���#�
-�:�R%u9��^��?����_o��H�4Ag��<9�0�v
�D��������	_^.Y�%ħ�׌�گ~�H*
�(��	�U/U'���X��d�,�)o�
�W!�"U�`2ڮ2Ѩ9$UsqՕ[�!��
|�)M��v���b�̬D�_��N�4hb�"1�
щ5P��13��G] t
$���*�B��X"���:^���o`.f�����Qt���/�Õ�t?�|��@��R��/���>0�.3�#%J�̽��Lo�����s��罺)H�e��U�n"7U����r5E^H`��]�덦�V���J86s��&n+�J�j�B;�=ۋ���Y�T�d��,%� �@��F�l���G���2��yeZO���1���
]0Y��cM$=߸�*���z:t4��K+���&�jl�G�
�#�
-�G��g.��������Kw#���d�L,	؅kx�+���-CT��'�?���&B���Ȗ�ri����)��M���
�
C/�䀥rĹ�N{d��]��
�)v�n%ފ���=����6j��O0/`^2B���<
��FI�=�/nؼ}�tڄ�s����4�Ū��G8�>�u�̉A
-B��D�	�'�
-Np�Aq������<į;kϐe|v\������� �;Bݹ2�Y.��

sѪ�I���FR�
-ƅ|�6d�����ʙ�����h|�WW�q������_��
γxmF�ϷC��*�u����������V���>�4�JG#*�Bm5m�Ao�
�h|M�f�
-�r��o�K;�;���ʭ��CI�P`޸�Q�_O-�0�_l��[��#�fbI#d
�ft���z
�vg�k�$�^K�FEϪ�'�5�����b>�

!���c�&����B�Z��	"�_����2x���2���3��|���G},)���r�m�P��Uō�Ĭ[ݥ74�0�}�7l��
m�U���|+��d�n9Ԟ�dMu)���|���\b�:�*K�L�i\����K�����fQ����$��6H
-�l�)����
X�0L
ܿf��*W���Nh0�
���e���b�S!ܘ������ �ʅ>SB��,���Z�%��� ���Җ�N��J
�#Q0�ht��pl?Ҵ��Ai�5W�����=2�E���������wH0�b����%]`� ��e^4�^|Rx��?�%
&�{`�E�p���1K�_��ׇ��.�*v	�� ����@� x#�SK�
�G7l��3I� ���
�_(3�"S-���'�>#>]�s�*i���ι��dɫ���`Q�@�j����8��W��
�
�o�jc��δXH�J�j�&��
F�	���=d���]�EF���#?����ɮ���IY|^���$��	�*�s�Z"E��Z^�7q�?)wk��k�����I�'ן��ǰ��r��i��I� &q0�߮ v��f��w
-x�a_'6ʈY.�g�I�k!+J�q˸�5�:e[Q�h6А�=f��%��jv���ك^�A�ʙZNƼ���9ޱ?p{��k�,i�ӼYJ���
����̸7kX ���B}�*�ؓ��DբEO30lc���3��.�7�̗GF�8V�߆�Y����d��[-w�IA�=l�U��{�4L����N���
CeH!�
���:_����IJ�;�%��3���k1�E�j�s�	�
�g�dN6�5D$�%�gȬ��@ӏI��u0	�F�pX��~���+z
��f��^�*�O=�v�7�� [#
-&-����-��4��

9��f7_�^�M�|E��-jy?=c��/GKQ���{!�?�S�[�5b��j��]Q/�|�F�V�t'FL^l쩂}�}e�u�e��7��/�=��b�(���
�eÛcUߝ�
���H�k�|O4���A��֊�0�
N���ق���pOr
� w�
~?���|�P^�b���BiC���2"�2�J)k9
��R

-",
m�!=���[Q����:Q�ͻ��5�*�&#��:�i�?�Q��@|[]�ӎ�A�=߄U�QZW*���
=[Ը�#�X$��"��Hl�x���i�Z��q�CO��^8B�.��ti�\L7�9�u��
�j���� 랟ȃ���
-ʖ�z���fZ�B�j���\|+�
 ܍(����削;�/�(�����}y
K\�JN��\(�����IY�W����,#�@�D��g��o�S����K��
-�&���;�F�F?]���D����J�
-��tX�s:�}��5�0�V�4�D|�(�49L�O.q�-�hZ�!�qY��Z|8�޸c9L��`7���6�2�q��TӥFqM2F�ő��/�eS̭G�i!�����k{nd���EɃ��8�|9�
������A�^�
-N���3��J��W��f���$	�&2��B%�POp����Y$le����G˲Ȍ`�r���Yˁ ��/	�!F�bl�DN�=�F`��q�|B���K��pQ������l�;��s�]�%��
-��LDo�#�_���B��mI��_���`�䢙E
_�j���d��Ӓ�Q
,e�4�

��~Y���!h�Å96/J�[���q�}�>�����@ou�ҁE>�X��M������\o��hZ��U|#	���0^���!��i��z��}�n���Ko��\��.��7N�g,]��.��I
��S5�,��q�~$8X��M����V�`��1yOI�,a�*�@gd�ٍ���HǼ<�bl`���V4:�}�蕩Z�h�7st0=��C���3��Q0�K�*}��U
S�p�%2i�-�7������P�yTGГ'g"D7�����Mh��$W�Ә��-�,�i"�<��IT�I�k|�	a:^�nn� � �qM鮌4^�	9_����7�.K���* #d��7/ޱw�_��$e���
�%�c:���'�z�bt�b殿���#R}iro�����Z�������7��$;9Mޖ����=��,�U�i��8�������-��Ihqy�Z���=��҂��I��;��{�0�
Ł��ً��a*��c���WܕU^2)�^���@,�1]X݇����>��*�2 [...]
-��|�
�:�����U���g�-����py}sw!��L)?�S`��' ����G��%!
�Iѳ'!��?V'�\�!����v$B���In�aE��4��Fc�6��Qȁ��~���
-�A1��h�`s
lL�`4A��
l@�r���m��r��
j>���w��ڎ�I;]3�J��q�~�r'��s~��r��r����Hĉ`'����A�ĦNЂ.U�8�v1��=�t
3��6߳�s���.�5u��ȟ�(i��
$��1(��83�
恉ܬ+&����a֝!츬`�U�\
����*�6B�۪69�Z���b��l���6TY_� e��*h�{�`�:��a�=^���:�������ć�:��x��] а�\p%��3���
��BZ��T-H^�&>�
��������%�&��
���9/
���:��M
@)���p4 ���ys�aM�J0<��=��D󰂖���5��f�\�{͘�7���ћ�j��)Mϊ��l�Jxt;��
��
S�:�A'�*�b$3�@gE�P!��}&��%��cvzRn�ٵŝiO��GgiѢ�@�W;�hj����}o�ej�b�ǹ�!�h�j��|�F\�3-����w��կFk_�WƂ����lO�,Uzl�q
ɔ
6	���v킕?~�"t��
��9��K

+�k=��r>�~UjP\^�����0�s?=|FdM�����u{c��^a‚�a

-i�'f�:Ť0oX���X"����Z�[9�������p�6�xr��hp�.'s%X��
�ƣ�
-ϙ������:�`J��,�j�k�Y����(Z����I�R#V7H�rH��[�{/;;<�2Ԟ
�5l�
i9���}�(k��$$���"U'� 
nA���<�@���)����
�ր�#8K����R�獃�[�( ��
-?>m|�q߳�-W����Nh̠�X����3��S�y����ܺ���������d��BDz�X��Ɛ}
V$�@t���>h���OXN,��ki5샟D
�{R=�z��ks�>Vyd�x5|�;X���u�����
�iq�kCzG����?�f#�+`�2F���[)��N�3f�Lo�|�:"d&�"CB�8�D6�@���DJm1��K�����܆=?��z]gĖ�Ch=!���/h����cзMu\?��<��v��� د��N�~
��=��C�ڱM
4�OX�i���c*��M3�Ue
WO�]��S��*^������xPN��̳��r����H]R42�MU�=�gY�$����y�z��< �(��
��s�)�|�0���"I�z��T��
�.[&�'�!PT�[1Vz3�7?�;�쟓Е��

-g�2~�L	��]N��#��`�q��p
y�p�f'ie�&r	���vi�v_�/�ȍ�=��z�D;��3�/�7�1��5#�H���U3,\E�~�
��_سt&׵h��U�c?����i�<h�5
#â
���=��PYMɪ�cr4N�s���y�.�Cz"��p^�@�$�R
;lA:����yfk�[ű���+yO�����ٝ}ǧ+<i��?��#-O��VTFh���>
�
s8�;iQv�~	!
k�4��%nקBc�G��?c��dD����
~Z�roT����2(���</�(����S=3s����6B���B�"ʃ�h�^��K1%Ge�����Í"'�mn>l��"�X�u�?�s�tKi�
��d���ck��x�O���xX�tA�j*K��dJ�x
0ԩ�^��*�J��m{'���C�6䏫V�ؕE�tK��<��Mqz���.�כ�j������FXH�±��Ȃ����uݓ��uD�
GWϠz/�ۊ����MU.e�����ۇx��Hϙ�2S�.q��݈o�}<X�Ͽ��30{�h�P�L�r<
���o��I��6�$�!j�r�q�2���P.���^�
���fͅ���鑉�,(bUaD�?��oh"��*Ob���4����!����^�#�1�cF�}�*}����H��W��Ϭ�4�
�
�78�j��y�o$Ỳ�“��J�St_�!%&����N�R�/��:u��i7��o����w3�{�X�׀�s��
��b�0�7�

J����q����2Nw��7Ƽ7x���&�7��
,9�*��g���O^j�EkEQ��Kh��)��O�Qp�iJY[���m���J笆%�%N��G!�W�V5��h�/��5)+�
oX���h�#��h�Rd;�[�`6
-�%����O�/�'��qD�<�]�0�:����	��:/���M���<���
���x9���.l��jg�P7b ��)2���� 7Ї+��ǡ�B�؁{�T��*,q���ާ�YN �$A+�1/^/3�of���:.���-��|�+��k��o;��"��8i����`'�x��$�?
nH;�vY�/|�T�A]%=�P%1��\�f�
������b���}x
#g
c�1?�)�~^�G��֜P�f�f���}�E׵<���R��:q�Y�R�ػ��@�T]x�~R��q�����y!2�;�;�*��öF��o�L��1�%ǝ
3��k�$ ��|d�e,F��dՀ�G� ��;

��
�Y�Wr�mg[]Q�
��Qו�d);��”�95��RJ#��e�jU�;W�V�i�UU��\�Q[}���W�~��e>\n�;j"/��f�gn���MH*+���9���MQ�/H�~<<�x�ZG߆��ƫ�c�I�"�$��P�Nj/h�\rp����/sX��
2�p�(\)إPHr���6|�pp#>M#
-ly���
J0!A at mi�%/O�\�%v����2����h����	֮NM�E�j;�n�z�_�7H����9��#��&+K+��(�'��l�ѸJ2�
��[��f�0�R���$:R!v��Z/�r�W�E{jl#*R8�2U��^*�5s
|ư�$���?h�c��ג
L���ŭ&�D� ���2
�ݺ�����=������Q�N���:
j�X��dWV�@h9ݯ��A�wk!�zh��%??k����ĺ<��	2�o�y�8*0�{o#�o�jW�*�]J\h��gO�ZvNB�	���`�G���gܸ"Nֶ�hu���� �sn
=�
��KQ�������[N�B���?�y

c��X������O����ƻ�J�o�w��M����II
&:��cZ��-߱5�w֯�!0V��e�\�)&�GL�~�Z~�#��)�Iq��o
t^�#�a�W�J��;�mh�C��l�9����
�F9N������R\5��W
-�t
�W�����e�d4�Wי����3�GDQm�)�6�
��
�CoH��lM�}��\fB��h8���yfi���D�>���ɫR&�u(t�L	�W����
e�����z$��4Ø(��9�s\y2��vk�,H5EеS*
� _�&&y�O�<lB,� �p{����BG���R�w#dj�K�1�ѩ���m��8��
��T�*^6拱�څ;�_O�h&�M�v����o��
�F�����8�i�2��x��򗏅ߚ#fH8�J>N$���j��\��s���OƄ��*��r�;�G�!t6�k(�U�kr��_J8��
-�f�v?&X�^�)7��
&��4Iz&�Yh���M�F�ז�9�����̳sd��zcl�ݩ�F�ZGv,��h>���w�$��B�5�s���1��D���T���<��(���=)�~
���$��J�Oң�Z�Nɵ�bL/�6lbx�ǭ?�Lzvg���uR��.��&t��n���U� ���׊�HF;�R{��&쳛ۗ�e�/�Y�g��K6Ʒ��g�B��(ʌKc,���A���L����lx^t��?�DD�
�
e����`�J�{�Xgp�R�[�'t��:!���t�*��R��?%������l��&z�~P߆�ʄPj����P�+�d����|/� +�dj��������;tԕ���Or\�	/�v�hIEE�׌$�N
#�Qh��xW
�c�����)�9)R��A�c�� �a�{Y�5��F�
��(&T�
�}NԘ�҃YwȔԩ������(���XNCYr���)���h����$K�/�δ�L4
r}_���7������4@Ƣ��j�B"�zIL
�˄��6��k$��=����!���
3c���g�o�&�o;�bSЏF �/S���.x!�S6TLqk��B��d
d�T��<�F���A�
-�'�����5���������GTK[$9�Cp�Jl�'�˨�Ԭ(}�D*��2R�.��nm��!oq5��#
,Y��
���mV�h�|5�����`�.�P,�Fk�'
?!~�d� rA� �u�˲�/���JOp���S	jzn�}�Ss>�Us]��
�iE`l毟b�Q������f�C!����S:�gZ��(��2��p
t.G�� 
�,s�5�
�T�+��6��K������ƋuƳ�0!`� T9O�cB���*ٟ-Hz
-'L&� �:o�k�CV�XO��t�Y�H�_�vݣ�[9��~��V�6��xP���T�৉�.�I
5*��RM�S.�HkL���/�p,1���#lQFr�a����w���Ll�FN.��FN���)�+Rendstream
+/Length 15789     
+/Filter /FlateDecode
+>>
+stream
+x��UX
̶h�;'�[pwww�4�Ҹ��$�[pw	A�
�NpN�k�����ާ�]xa̪�9�fICI��� b�`l&�`������K"�����J��Ȍ@I)4�X9؋\�xIXxxXHD\-HX�IX8y�9x�9(I�

=�V�.$4b��t�"�3Z� �I .�fv�1L �$j&Vf.��$"��$��|™D���
�ffʈ��Bbje�Bblfae��􏑌��	��M]
����
�
�"�IҒ�M
�m=IL���
@��@&�oH���%]mmv�
��U���vV����������
H��`j���]���KN�������ʸ l�LD�-l�H��+d�,i�af�l�bbI�t5�W����;���_L�Zj�j*t�]�5*��]�=
�=�?���,�
Z
���
3#33
�#���2�_�$�M
L��A;��� <@[D
$�,$V��f
$f
 a&F{�GH at k�Kb� D���ll$L�f[��?��
+��09�:���۾9H��]������{������� |q�09�M��]�c�$L ;P� Z�Gy�;���	�3�  ��m������w�uf�����6�AФ
m]���)�8���#��Xz:Z��υ��_�V�젹8��-�#��x�
��I8؛��9@�.���
 oK��_=@����+��5�r��H�T�3H����/WP����c!8@��V�p�3g[��>���0vV��	ۚ9�/'�����^|N���?��ٻ4'�?�3s��nz���N� o�w9���W�@�����7q�%�	d'�N 3�w9ɼ(��;��˿(��;��+�(�ҿ��]��@�U�	�]��@���	���r�x'���;�\��	��N ��E��@.�@������
��1(�����߽����S3g+++����5�Rv]@g�����L�Ljdk�N [�
3H��/�g_���
���g���,�B���_Z@��d�� [...]
+��Җ̴���b#UE�p*�`_sGMI�Z����k��u����X���ji:����
��3>[qe�P���B&y����NH������dA��k�MI�7�����Y�iA[J��gr�e&՗v��ia1��(9Q�-�
������&�ma���ͣ�{�(��y
�
u�Դ��+��i�c���%�X�ױY/xZ[�]��FL�2�����;�d�O�R�`�7�7W��dг�k[�-6�a���k��r��z
��W��
��b�iF�Xnp���a�\�X?���!2SRsL!�zOa����yu#�^)��|	��8�����iH�]{f�RmO���6��p2��ip��8 at ru�k�i���	��\�P�����Ow�g��P���4|�'nZB��>��D��'R/#�h�ـ�9���_8ڡRn�Cu�o
�p�s~��+�۶�lfTUO�����r.�
���,����
��զ4����x>N&ժ=� ��Z��c�
������
"����� ;�6g�l�)]��~Y����<\Խ<�
Z��p>�E��������G �k���l�3z�o�&�+1��y\�[�H�
wZo7\�bWp��,�w�
H+
�?�&cǙ��܇����$�nm@;>�Q�8��Ғ	�������g	�l�g)�Ƅ�ҽY�&��Ǧ�ؙԟmN�\��ݛ�5ë��ː=Q���;��
�О�S�?F��HN����k��9�9�3Ԙzߊd��^���Gi��H�P0�
H�L��.�@
+l`
��3��1�
+�,"Q0`p���{&��4�u�
�TGd���G7n�
jzcrF.�
��ɨ��mح� �
<��ͷa�E��Nӣ?
����VǪ���M����d2N4I�\���~�DM�k>sΩu�EJ�3�e=п �M�cr��:8�w���T�oh�B���l�c�>ɘ�E3���?�Ր�%M�av�؄6x�����VK���L{���YK��}%���[�t�
���y
i٥5���ur"9�r%��h���(�=�lLv��xj����9���r���
T�q�����̣�I�S�t��cg0�R�r�{p����*͎��j�1������:
e�_+���U`
A�|.
�4V*<tl�Yl������B�
�,u�1~���-AGvy�

Ɗ.'G��(��u~���M�Q{��;y�
+�ĂR]�39��#����G�s;%���C���֢�8�AH��c�	��~�$�
�
�d�p�L�'�����D.����|y��"�k��.V��
��Y<�)�
�!�oK4͗�Jꢂb=
,#�m������mh���~�J�!w�_~߶T:(_ƪ�(:钀�.G�%�Ǒ�,
{
�QU"��"b��]m��1�p�F�x��_�J�
�
�{E={�:�A�˄f_#t���$�����J�s�����A �t�^��`�S(
+�4)�����S��[c�`��
+U��~GS�~�8���+ma�e�F���q�u��Z>�-
Uՠ:�h=��# 
��@$xg�뀙�Q��]��[���CF.Y�
<P�G�4�Ǫ#3PðB���;�Ellm
���^w_��kJ�sB�^���c�
���
�y�k@����5��a|��.�%�ޱ�
t�E@�v2}��ݎ��� �8���^˫�ٝ^N)��8z��aKzS��T)�P����Y�
��
��O炪ծ�@���j ���-A��xy��q��W��˹
�&irC]��I����{r�H_'k�q��C�/y�-y��JD�p`l��T��r��y<?��
��嶙&�PJZ'��"X#l�O�����O���� �&�8?(4�$˒sQ4���!Úc{�d�A����.�Of,e%��b���4gr�;�a6��8Ez��t�Ü��av��H�ۡ2J��t�(] ��.G�u'�}3+��G�vYˮ��(��fO�̐�j"�����]���M�C��B�F�Q�nw��#����cb�ȗ4F�2
��@�#[
'a�ب�F�����J1-yf%|9~F�2�,}m��̧����)���}*���2�.�aMTUlPl���PVe�VO
A�c�FN�OwQT��c
+#
+*��7qThk��}�G�� lS����ʹ� [=��";��l��][��7
+YB�2Q7��)؈y؉���/���7��y!%#Q|L�X;�!
!�r�*&�
�>�]CYa�*5���M0���!z'�@��}ݗR�$
.�¦,��"�9
�H���t9?>���^�tqۂ�x�1�L��;�u�{�'eEx�Q$i�u_M�
��7��L�����������-v
�=����
��������W�
+��%w�V0+��
+
Ē,3��z��t`k�
�8c�%v5X&ٳ�a��xe;�׌3���T}x�Ss��:Q7�`��{1]ฌ��2�������s
`���ܪ)�Y���@���MM	W��|�T���s�by
p�g�}%�0��%��zF��0�J����O�v�o�tO�[	�#2�t��p�R���2
�/|V��9�RlƑV�ι(��	�\D�˪��(
�l12�&��it���%5����� \�1 at n�;�w������s�nî/
�BK����FQ��s)����
��	`�ɛ�x�1v��0�eQ�u�K���b�4F��X��̆�s��c��~�?C
Z}3��Y�=�TgA���L�ox[�r

�﫟O
�16�C����dխ�V����	|~Ӡ�ڳB�E6Y
y�HЧ��X^��$	�eƔHF;�ߚ��e �#Iʭ�g
����K��!/��+ �P2Há�ȇhB���v���ݔ�;�`QAHKLѾZ��[�g�2�1�
��B���%��`Jk,P)/C�P)�"���S f�!�L�{�uյFf��E�	��b������'=�'�<�5u֪�E�i�o����x9� zHV~:��J�cp���q���I��p�l:\�)
+!E��odNX&
�
/�Z��,��M_Z�s|ڇc
+eQ��韚�U�i
^�.Ys�XT[�&)��`%����i*�����4�|�QHL^`��vT�p��\Bz�Q����9 q���!�����'`�.�>���A�]����Y�s���˴�2�@"��u~
ѡ��j�ԙ_��q9b��`�5�1�3j������\=
b�7<RJ��WR�VW��*:Lf%"c�c�1���3/����D�U����5����|[�A�n~L)6

��
+W�2|!��|Rz��ߝ@����A\�
U5��g��q^(@4�遤�ϡ�~խ;�*�
�hB�&e		�L�<�c��\�t�9�ꏰx�͡���
+Ca
:�Bʺ�ŭ���.�D�,�J��f��
+7����ت��=R_��[����Bc��Rڠ
�)�,͏
��X��g��ˑܪ?DTϢ��(�u�(����E��`4Oz5��'q��%x�WF�l1��b۲J�zJ䁳x���4ɚ��/	��[�層}�C���ۗ���c�I�UV��x�ݙ&4ee����!�Lb�Д������[��X���O���S{$=������}�7�4�6d:�N���\I��s����ӌ�[yѱ�	m802���(h���0F�ژ���
V�A��Rh����0݈�0�
1K�D����&�!G,E���U�
r�
�
+a,�� U��~:��;[ƪ�[�X�
���B�X5�R�H	��#��j�� ��=�,��:k�عUq�F���I�%^�Hb�
+�����T�9���K�j͍��pf�3Vj
�-�gIH�sQ�-� ��nL�� �.�;xA��
�Y���9T#5��s%�ӒH�*W���
+���u�Go����q���f�K��*���������;L����s�,��g"�Zf�q~�V�cj#2>W������m���"
���ӋtH�r�n��T5��1�섮}��w��Ωo�mP)�!��b*��ťy�.�,E����"�[��)>&a+�Q�,r,*tq��j}�)~y-���K����m
p@j=��G�N�o���RH��#�f1i)+�!��A��i�=��z�G��Ũޙy_~էd!��
����L�o~W���ۇ��t��oM=����h���XC��D����\�����{ڤV%���x�u�0�=�kX�A���[�
�k���i
�
N���Ͽ-�*溛7�ʂk���{x0����Gt,��O���	���A����쌅�����
�a}������=��
�&O@�$��.�6{L��4���W���B��鱨�Y�u��~�DQ�=�s%pdX���=���.���l�.�jэ�������
+��
�j�$��
K���7��bL
H&w�?�߮~v�U/ �
g;��/�
^D�E\Jtc
h�`��>z��Xe�����o�����X�V��
3�v�PS!%J�n�I򓝲�!i�?JV�"@S�]��J
�,�ƥҾb�#�[��h`zi�w�_{\p?3�q��؋�
+Vk��������X .?��l�'�0~rT�)��2��a�@[p8�F��s�n9���$C{}��k΢�!P��#޾3wj��f<ۡ�Z�s�)%��v�%7$w.�I
��H���4�Tq^�yB���'����
6�"����Q(���������WW��[."Ƕ��XY����B��
+U��d����$�J4#�0'�b(\��IE��3 m�E��̻z�9Oӟp��M��:��:�'s�0�‘˟��^*,���ʰH�ng��
�F�e�=�gkp�Ҁ�֜�Hw��F�`){��
+�*^[*��,��`�GI��MJ���K.T�Cs?���J��l��͍G�l� �b�'�
�^W;a+������5)]Zk�+�� i��C
�n����Z4e�)�������r��6�V�p%@��cbI�;��n�Z�;Gt�B��O�_����eo
1�i��F
��'��t�{����N�N��M�=�X�Z{n6N]��Ӯ�0�{����\���|���F�dy��E�ˆԔKQ��S���"^3ح;D��w;>��.��ҕC`���UI�~|��g����}wB~�X*r���P��� ~�$@i�4�%���k�����Y{�<1,���)L��|�jt.��Kй^�
z��#�'��2ᚶ��C��k�M-���+쯜�9���t�$����{��H�x=�d��.��������|�e��U�
�^
��|��űx�B���8ISIs %���^D�ߒ,F}����0]�h6^��a��VL6(%�+�Z����Z	�
+���ES�f���ފ��0�x�?y�
+���B|����
�6�tU��p=��+M�9Q�.*��c����5��!�H��R���niBD�4�2��a������xw�!���-��[���`4�	��/u�}n�9+�	���y� [Ls��t���##��
7��ޕ?�g
\ ��DTd����zx\L��Ե0
�&���f����6�v�;�c��B�snL��1��B��Iu�͌�6�[��
+@�{�f���M��-��L�Y����N��Ui�@�2���@��L4r�h'f���Y���qt��Eq��Y�y��'�-��U�� �����!7l��̙]\�F��0�h"U
�c��u�$&���9�y �������S$qɗN�G��mhضa��x'!%�/F���O�MwM���*�
��`�x���d�o�5!�
+�����<�È`Qoԝ
!�yb�b��=�1�s)�x�L_�Orzl�&���{�2�/j ����~T%�X��	s�^6�p���������F�e����(9ւ�F
������+���蠥�B�Gj3� ��=�YS�q�
+w�����Z�
4�Ј�4�OƞҾ����_������4��Gy6�b��o��]�L�@��]�T��u|:J�i_���(
�
+
5>�3/�]�K;����揂
+��Uw
[
kj*:&k7 �C�<=ٳF>c�����ަ?�i�����;�R
c����LJ|��� ���)��6�x$�
����
v����q�/�_��:^&+��N�����%$��:�����Z�Ixg�A�C�
�R��g��
�K�������v�Q©�v�8"ĈE�Mk��F����Fe0Z2xÂ�ό�vOY
��B]o�[���$1�Z�\��.M������18�VxV?Ώ�����T�`}9����P�=�EJ����U�B�?<�
+��w�f@�<�aL�V��T�X�
+���)?�!
�B滛N�$�]��I��Ӹ-x�/��U�#V�'L+�vK~%5?g[s��JSw��ٴS~�Qr$���Ea�	'�o
�1\� �Œ�`�

+C�:sX�~O�d���I�.������ŭ<���$�WX�Cq
>)f1JDK�Z�4�`W����5�ԙ���2^��%�V���P�0]�;
+�#�
@������Ս2w{�i�no�n���eq\m�޸�>���3��}���zYT��1�^*���`���T�����&��
(����:YN��gf��1�t���dҾ��V��[�iiM׍:c���V��?�MdI�ykݍ
�j��#�m�T� ?(6;w~�(c�^&�G���%�r7���e
�L
~k�t��iA�=fy[� "�#��E�X��+0�(�z���	ⶰ�
�
+�����vsW��(��C�����ǐ�G��j�^�,���0��9Y�	��דs{ɐqR�v�T
�Ź��(G"���*��S � ����m`�R���z\��O0^�BT+!��K���&
�?IcW_���U�pW��u��hsΗm�!�Ƽ�K_)��3: $([
+(+�3�
mf%�c��.�fT�����ú�GLÎ�5�6�9L��8‘ǂ�*A�g�؜ʋ�Y�-$F�_v��n�
�oCý-�*1.���qpF
`nՉH|���p=x'<�ן�S���Ш�4��\��I;7}/�
��(���,3���"

\�J�/�t!��d�N#47fM��4�qXE����f�L�٠	��r�d&X�>��Ms pE���D�:��˅�(Jn#��
[���'L��5r�6���
t/��t��Ƴ�p/LS������gN3�\km�u�[ċg�Zr�U��ƪ�ZK��H'?$��n�R�

v~�5�^j���]P�k������q�Y��i"���m/��?������16�$��'��<X�=��Jܕ�
��4�`
���s�s�J�Y�ɥ7�Cn����4d����[���H
Q�ͭ �}���g�}gX!��j�*Ηj��#�z�W���i(��N����g�iv��g��pu-����I��ğ�ih����<8
��䯫[f=�F�hƔ�D�h��2�������l�_a6�?~�'�}cI|n�r���I�JS"�N�'/=�E��p����g���&�kΛU۳+��N m��}x��Z�����C ���jc�f!gfb��������aӄb.�F�X-ʎ��B0?LsG�

s=��~s
�+	O� �c���T(�'�Z�J�.<�x��^���-���<� ܽ��پV�
bR�U������U��<�WC|���Ĩa<��(����1�3ʢ@�ll
@ܢ�3δ�Y_CН�x�r�''y]�b�,�	
��G�΁��4��*����A	�]���)�ڏ�E�kIF3|n^]J�	��HL����8�FV�:��
w�ƈ*kxA�x58ڿU� ���?SM\ɦ��M��ၗ
��`��Hm�q���V�>=���N\�_��R�y��
��z��ʦ�ۉ4����.�W��
x��2�}���U��,��#�Nb��]�,��=s�����|�~��T\
�.���^ͺQ���RV��v�u��
�
�TÜ=�w�2_�{di��8��
�J
��:&������U[��^{^P��y\�l�����c<K��G>�ڇ
�ha�E>��Ð+Ǭ�����P�K�75�z�*�osϢ"E��\����\���n���C�{1��˗�]@:HL��z}��/��L��g�
/;�+�k�;�d�sJ�D9�_���N�-R�-Ǐ$�eX/WCa�k�=
���㊵����|*�
�=��g��F�K
X���BV7�e!�S��*�P������5��e�����p���+�"��n�FCc5ť�F
��φ�=��
�S*�|�N�
<��QRi�ަ�4��� ā���I�.���\�/���6
s<�=�t��[;
���p�~-�JL�
/T�#��U��lEA֍q�*M�
�x{�.l	
k��d�n�1��u��!������Kuw��b�⬯���\��3aD㌧�EX��=�V��ʼn�@��j�9�<{W��%�!&6������F��b�"�+i3Vby�o�ӬG�� h�"�.u���#��a�[9KR4(ו�9şe� ���4���zESk_�
�o
�G;$�
le���N8Xu����bԍ_��&�L�J�)k���wH��@��^Q��1�
 ח��B�es�B�,
b_P����9ɡ�`Z���ϸP$���^�3J\��	�v%M�Sm+�˗e��&
+�=��r�n��?S���
�)5�^(]ޑ�b8̬
%揺
+���%���%m
�$;�z�;��y�q_�q�������)�D�� !�ӿ<�n+���;V��4q{6a���?��3�#��i�7��z�_�^�����`�P��z��Ƅ�z(:��2ʟx�2rE�ҘYz�]��7�
�ܰq�
���cw��h�c�}W��a��#T	�
�-G��}|�{�OZN�'7�=Yhęh��
yNm�ܱ�)��
r����/��4��%�3�UoI�oXJ!�G���
wb)w�����%��7���&���4��!)B��|4�̎�Lߎ�̴��+I0Н��Q5F����qK+_�\��d�S�7]�
����;hs)&�-�H܊ 06���83KW�7�z��s+��PU;CS��N�8ۼ�D%Q�<e�r&�g���j�-9:�����G+�&�fa�
���5�&����ѵ&	�g^EY"[<�xv��/�;����������)�)G
׎�_l
d1h짶S����B�.�q�N�Y�>�lU<M�~�R���>�ny�|F�'Χ��'3C~C7��
+����
�!��*�|US'��ʟE�ẍ�=��
I�R�Kڱ5��E����� �Gy^,u��Pb���4�t�CQ�@����M��y����]
h�(�������4q�<��t���q��ki
+��,�a��G}8��s���qs.������
C��7�Q��TlS�B��S����	��s#{�I�۽u�)�LW}�z_���c� {�,B`��/��V��~
�io���8��:}��o���0c{�;Ȗ�GhLo
��Z5�9J�'�Gyy�W�خv
�/����

%}���%y'�+[��e��ov��9�}w�i��w�0�ȁH��Hm�C�
gA����x�z�����w����}�?�</�����X�J
]�P���2�{~Y�i��Ҥ��XC�7RV+m�JZ��dC��&*-��p�'eKS�Ht
I6TG��~��L*�4��YkD4��ߵc{�#���Aj	�3����Z��
���B���/�Rv)�N��@,�O��(~��H�f��A
���t^ݥ��xFU</����S�@�!
̟�?j�ȿ���J"��~
�39	����242�z���Έ�d��F�[%!Ea{W}>��!m+<�sv��S�!�)d�
^�x����{�?���y29��(}��b.v-2�%�w]�����V-3����[w��b]�p\�]�NmxM+�8�f���2�S(C��C*W)��Wy��������}g�z�°��بA�\�?ю-G���~�@���	��F��̚2c�:d>��]�*���X	�k����
+|V.�p�w�<��2|9�|M�nA��}�y�m��Wg�'?_�_I���^(C�����t�<
��mD�Y� ��6h�r�W�����E���EQ��iΎq�n�.أE�Io��:~��y�|+��t7�i����J�~�#5C���XjC���� �QD$-.�Þ3���n�-�\��PlY�n��286��=�$k��te��:���Ư�� >�d�;��|���fN"�%�$�,xSb��x��F�
�$u�9�uq��g�ؼ���e����X��K�� }r�~=�M� ��t
�ڀBS��=�g�]��?F��N�W_���*
�
+�z9+�0���9ApG^\/�}
v�N�?�y 
ԁ��a�|�ʜXe{2'cz�֟�
+�1\��@�%|9�5'�A���@��R;�a�Y�zh��r���o\?K�!�y�Ð3�2���Z���,�"�u�nx
�D$��= ����۩��OS�vD6>/�,��^��?�ۅC��jp
=��Ǹl�x�v?��,����/HO0{!��/���o�B��Q��nΘ{�g�ng�V�
.B��?_�Q��L�{��ޮ˻����Dk
+�>�A
��l�5���w�Jfh>�\��f�qr���0��������Q�7s,FY �۫*e�
ɉ���$
㼚�;ϰ���1��ݖ���wV1%�"�`��x>��@�s-Y���tc��Q�2mݘl/w<&�윥�J�
u�3��1VZ��D��]c�:ly^RJWK
+�����_�^Մ��ө�L�}�B����ѽ��6p{���ԜN��jb�|��
/Z���+�g"�B�h���0�G����T��
���识K�A�<au
��ƥJ�bھȦ���&��)�%EN�Lx.�/�߬�#Y�-��b�ş3��V����)�i��|�/Buݰ�Fw�[������
+�u���C˄��Ww-�4�wjX,B�i>ȃ��&fx��(��Ļ%��J��s���E�\��'$
	�<��g,�~nh<���*2 !�qM�$Ӛ[,
2�6�W�I�2xg�);A͋2j����?[<����S���wl�h�d\|�곥���j]o���9r����p1�������*��*P�\��(J�>ஹᆭFI��
�:N��}�cQ$̢[�����5ξȳq~�a'����9s���`�1D�\#�j_���:��Y}�L�I܌eEH�
"5�]�1]�QzF�Xꓳ7:o��3�<́��W
����|
�Gr2
nv�������A��
}�T���/��m�M��cኑU  �IgwoG0	��?E�����K�ym�vZ{{��P�U;b�1K�j�a]i�Vh<�~r��
��p����θw^S?��'5�1q-�:�P�kV2�ƯZ׶���e
�� �	Q�;�3�O��\Ҿw�����}xX������G]]d�
+C-�Y�ԏ*T�͠��΍c��G%�p_�a�R'���GD�Ґ�s"�yչ!օu?I1<셹��������䨖tӕ����Y��
+���N����]��r���~뎷�GC�5��4Gw}pb���1��KN�G\��3�oVA�����L2y�
�E�Ny'6���M�VnV�'5�wM�!�j�;��
�y#�2vD�[�X��WDw7As��-�D�k˛���MZ|�_����ʼ@�{4�iQo*�Klv��xk���R��Jf�-�S�x���p�e�/�

���f��ϡ�l?
++?���PDQ���<��w��x)�V�r�QV}�"���[4�w��F��'��{@L`_ ��ԝ5Й�G�#��cݜ�	O����G��Ii���;���p�����۽ə�5E��*��G#��|s
��C�� �x���Y����YP������
C+^|ԷD����t�)
`���%�����HWS{1+�Noɥ�'

\�[.zz��"!d����h���m�p���-?��+���m
�`�^�ro$7��w��i�<�d���O9
�Om�?˪>����
������=��lF��G5K�oBm�Ps:E��pg+����g��vc��P��SwT�nE�fۅ�׋�d��РnG'�
s�(�]
�Eߥ)�
�[����cCƳ�.���e
'Ȅ�����ߦ���֋�}����
+�<��u
0��s1OT��r�F�m#�K��t�
+��`1��C��{���>	1x6���f;�[rl$��S\�NWc at DIJ6;�ݷ��M��&zS���4���b���/ͬ�����m�m���-�Y�Jtٔ#
+�js����D��%�9E�H]�*U�KP37}(L��:bC��h�`+��^��e��#0@�hU�7���`�*��W�*V
LDƯ��"�}��$�
��Q����Ox�ɜ�1�Y��c�Ͼ�u�p��zp�ٰ'�D���,�x@ܣ�|�� =��&�%v&�ӈz��+%�'�TS�n�	xZ5��%${��C�r��.
��t��g��,#��/C
5����
X��qy� ��9(�P��!���S�r�QF�����NB�/�~F�Z��kçJW�%�|ܳĬ�Y�xQ��u�tn�½1�i�K���"�����P9�X�<�f���ֈ�>
g��
����0s�p�IB�K��0�wtcuE�
+��}?[0E�
4%Ԉ�#e���� ��QӦء�#��rr1�kI�
X��Q�l��
���h�.��4�u_�9
�K��-{�s�m-���O��~

+Ld�֑^2����wީ��W[Ô�
+�
�m���Sg���Gq���\E5���T�����i(Q�>֘M
]�zg����#��N�+��8UʜS��<�+�ϐFs���>���
S

p��t}�����ц_2���r[����%���'2��gx4�\�T1���v�a	n�H�\�r�Ž�

�Re6�oi��_�{(*���m�9��P�J q�P��p�R�mU0�SiY��Q�
�ѐ�ga2HR�Yu���&�Z���~�
+��N�&Y�9VJ6kjl?_~OQ�+}�����@�Sf���KU3k�
�,�h�"�<�o#"<"���;�<��������S/'��H톄̹�[0t��j�F
�
3�(ġ{쿧#cC��sӇ
xJvM���� [��Sϝ�s�Ʋ����x�SU��JXI�ȉE� /&�[�%Hg�?:��`׆�
�{-�9�w
X1�L�Oۯ�Sl=���h���%�}�b;v�̱��މ���;�����N�"*߰�t�/�j���
�N<��r��¯�AU��Ǚ��jzɓ$j˥&�z�/�%/�H+��E�>'�l��|�$~*xe��m/�8�	�R��R-��%P��9_�"���Z<���|
���f#�q~6d�
��̒c*p�^�]�ͯ�G�
i�����=���gЍ:��t>��^x��oJ
�PhC7J��1�7#?-�
�>w"�Cv�P������9f<��w���FY�+>��~�%}u �X��#I�|W�H��B���Z\z-�Q�m��)��5Q^��Wh������X����@#��nR���a�8���� �� Z���У"Q�t��e����b7�S:\��
-�'�a
^i�鵟+�&�Rމ[����r!lP{p�R[х�Y
�J�n��;>]����F����k	�a���x��Y�E"���%�ew&����L��'
5,>gK�'�W�f���>��$�geUrzylt�|]��d=�`����hb��FS�닞G,/�B�f9B�et�����Rُ�(e
u��oC�]E!�,?�����L
\-b���&w�
�m��K��Ӷ�e����6c��J��Ʊ
����|�K

�_��]3Mʍ��!_T����=�U�wnZ�uc��2�>J±�@��Z��$��k���
+7%xs%s,�arq�c8��U#��p�����	���q��
+	C5��h���

^�%`G-"f>���gq�zN�v
�ڇJ������M����t�~�'�7�Wxdwf+���g��x���=1�8��� �����8<-��[��ߞi^-"�*c��
�9~>_��M5�bM|��>����˳�S�UT{g*i=t��߰ lu%��W��J��<��c&Pf�����
�9	|�����N�R���um�R�xR�l{����u�w��	��0*�YF��_
�

�&����r�=���S��
�Tbb�],
����d�]�aYD��B
�2�����u�J����.Q���9�O���Q�=إ
L?�k�ON�?��ʹx�}Ld9�c3�f��z,�������4.-MH�o��׏�O>Q?����%�r�w"�aF��W7�����D��?����Fk	2^�(���"'�q[��`J
�>p�}�LiUS.��z�YE�����A��nn,
,i����7����$���o�
+i��LĔ��LG��":[mei `�<�ϩ�����l
a�
{�Ç�X�\HR�f+�$��N����g��/�N֓��H(�	Ge�Ҍ����ݪFX��e�ߪU\��\P��N;h~��4�Džv�Wz�BjT�Նz� eˮ�<���������ؚ�.v �
������endstream
 endobj
-642 0 obj <<
+638 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3523 0 R
+/Encoding 3765 0 R
 /FirstChar 33
 /LastChar 126
-/Widths 3524 0 R
-/BaseFont /FEYSAF+CMTT12
-/FontDescriptor 640 0 R
+/Widths 3801 0 R
+/BaseFont /DWSNSQ+CMTT12
+/FontDescriptor 636 0 R
 >> endobj
-640 0 obj <<
+636 0 obj <<
 /Ascent 611
 /CapHeight 611
 /Descent -222
-/FontName /FEYSAF+CMTT12
+/FontName /DWSNSQ+CMTT12
 /ItalicAngle 0
 /StemV 65
 /XHeight 431
 /FontBBox [-1 -234 524 695]
 /Flags 4
-/CharSet (/exclam/quotedbl/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum/underscore/quoteleft/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft/bar/braceright/asciitilde)
-/FontFile 641 0 R
+/CharSet (/exclam/quotedbl/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright/asciicircum/underscore/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft/bar/braceright/asciitilde)
+/FontFile 637 0 R
 >> endobj
-3524 0 obj
-[515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 ]
+3801 0 obj
+[515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 0 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 0 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 515 ]
 endobj
-563 0 obj <<
+559 0 obj <<
 /Length1 1951
 /Length2 12436
 /Length3 532
@@ -23503,220 +54588,218 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��UX�ݲ��[�@pw���wk
w�����I���
�.���oε&Y�?��h_�����V=Uc�x��D�
��)� �s�gf`�!��df!ff`B��u9[��<�������.��,L��
<�l<�lĢ@{GKs
gbjQ��8��m��&Fv��F� [P
#�/@K�����
��?O8� � �� SffbSKgbc���
�?���̀Ĝ�6������+��	$��$��$�hg�Al
-0C`T �r@J�����K���(���_]��֍l-m<��hk��
p$��
�������D�6�Wig#Ka;s 1ӿM�N�� S%Kg
b3#'��� ;��-Զ	`�RT�Q�����ע������������/f~gPw
-݉u����A������_���L���v���Al��h� : b'�b&��3��A��ΠG�A-�!6:"����
g4�����B�wd�g��YY�A�l�l�M �3����ߛ����Z��f6&bF{#G��
��/+�Y��3(�	������N�h�ao�{7q��e�����=��wH
��f�pv{_g�w�p���O+�.���z���H�h��� iN ׿�����?
-b�$f���[�?� ��`��o �����-�N��"��)�N��b��[�?�	�Z�@5K��^�w��~'Pv�we�{'Pv�weWx'Pv��(��;��+�(��;��y'P�U�	�E�@Z��	�E�@Z4�	�E�?�
Ң�N,��
K��~��A��	��}T�@M�BPy������
-4�
AZ����B&P�V!H��_e��T�O'33H��_R�
A����N�_R���s��B�*����/�r�
A����e@���B�*�����/��ұ35r�w���VD��EOz����
X&���fg	*i1��31q������#��q���
����t� � ��y�	o�UjCh��x�T94-��yc����A���6�#��k�5+2А����ܞ�"ڼ��%�
���^�\
�2<��4�d�{�ړ�
lm�u}��8�6Z��U���b�8O�ZLuv��[��gwf0��D��ZX�wJV�4��p��U7����� _�0�&�ߗ�6�O�p�������w�g)
H�ڏqcw����J#�]r�ӵb���uV���ul�De����쬛^�a�\�+�P�A��\�
'�eDK{!�X]\
��d�j~�����-�X�<����[}�'����Y䘖N�4D2fJ�c��L�7Vِ���񗪟~�Nqu�VE5�f](�J�s����k��'��K"A�
��qb�(|ۆ���]?��Q@ﱁ(�{�_�?^
�
W��1�
xD5jT7�c
HL���4@H<]5=rM������f�
B?*�&E�m4��s�.~S��;�1(��)�|�Q��c���-@�֝�P��r�}	'�
-�1g}	,�
i�C�B~�czs��B 
-^��6�h^f�P�/�CӇWM���e�~},\��F���_~�����Cu(��*�
m$L�B���#c
s��)+4.�|���g�����ѣK�
٤��_J�W�m$��2PsU���

-Mp��96�b�S��JZ��&��
���3R\��=
�����8�P�
%FY�[���/�"3868������z����&�ut� ��)$;���?`����&c�!;
}����ţ�E�?�i���7��jؓ�qV�_�-�
�8���`�}c��8���
-�V(�C!k0<
�4��<<.ܡ+����}$�-�8��dn��ʐ�|��y���)���cc�O>h�Q�����}�S���*�7@
��{a�M�zX���r�f�e��e�~��L

hXt��3k��t�k`�7�
�7����w����C�ZI	:�\ ���:�A|�C�=��K$�p�/���a�]���x�gy�ףe)��a��9��\��f"�oY�(��i������U��C<�@����q�cY.\���r���������i~N��e��j�ƍ�:~�er櫲��=p��HIBL"��-`�9
f�AP�~h.6�˒����3WA��$�Kٴ42�T�\ZA�Z ��ǐ�N�h����N������
-�&��
z, LF���v}$Q�:/&�5N�W�x��������i�o����>"g������?��u
5:b<|S�N�
�/����Ts!�nEe
-43Z�<@��d?�~i�f�m��c�r��f�
��]�aO��̨o�#�;���oz����a���
�{azrv� (jC�O<j�	�ZC�@�'�o�
�)	��O@���ofɍ'�
�;ܑ��iE�9?�_�;t��G�V3�I:�
���
$U
=�:�'��'y�x���=��V
����C��ԟ�m���;�0�*�&���;�!�t�
��'㸽�%��Dj�������'��n1�#��I��s3����e�@U�7���o2 �v$j�Q
�"�N���%zLvR�h�uFè��BU�]�Z���@A�v�&sV1�'ؔͦ����ãȵ���j�^���_bŮ��j�Ms=I�[����
c�9\ߩ�$[�>h0J�A�G�����ni傮u3��tՏG���xA^I:#V�<��
v��LK��>=:J#��=�ev�����[[Z��.�Ɛ�_
�IsNWK��dh�����l�I%i"�
�Q�Q��'߯�:X['�P���Ps�O�<��P���!�ؐ=�����I�?d�Sr��EH1]?~�O�I<\��
����<���NVh��j9
t���S�f����3�LX�,���yq1k�ZA#3��	(QS�VW�[�W��3��
�›3,�C�h1Mj&����W����ѝWj����$e���J0�j�>^��K7J
u!���>�~C��4]c#Kߢ�t޶�����vb���I�
-&�n����E�D$��p�-`�� 	�|(������V�LL7r��U=,6㱽y�R��!?�d�(x�"��;i�h�E�F�`�1]ڈ�& ���*f�Z�d�)QHx
G.*��8�}~�^�
lD��eHˇn�Ӌ"�*N@|��U�)�*I�|�#^�$�����:?K�Y��93ڮA,	A�|�Ã
�K?;`k���l$
-<V�w�Tm6�tG����
e!z'ܸz�c_�G�����
-�]���'�	��E
�8k
��_�qUk�FEݘI�T���{�E�n��#�8J�`�Ew
�X��/nrt�
-�#��n��1�_�a�
���$}��"-6�`N
�Q�D�A��u�<���#
o2�����V\9Ou;]r6�Q�sqo3-�f��^}aH��sYQ�.
-]��%�
�>��pf}�c�
�Wţb-��V#�6�J���M��XmS�K�v�Ϫ�J�[��oY�D�NP_�
�Ѓ��$�4�*���(
5"���M��J����l��O���a7Z'l���?, ܧ2P�	�
-�L�5B*S�Q�Ka�Tt(4��g�2q���SUV"à�e���
�F�[ڐ�{�gO��e�
l�
-I�H�a
o��FPCM�R�8��;_ 
 �d�-�b�X��4�r��������՚W�'����"]�_
ڮ��
-��
cLN)ZOY��cɷQX�2br��2.�1�_$������x���r����������~��Q�g���
��ɫBX�A���ɖ$~x��*Q\�������Q�]�q3�Z\�
ahs +ё<p�������}!H�0bi�w�Y
-�NQ�›����b�d[�%
��ܕ�9-7��u��@
�Į`h*y�ER��&�i Ff=�t�=���:*+ͥ;��@g_��75�ͅK�p��?
'�Hd���6�C�G
��I�Еu�uBE�!+���)ɞ�S
���лۉyz���)R�$Ul��2�+~{vu6�oX�_�����"P`����[�&�&�k���:vi�-�{2���:fDX���zٵ6�97�k��9\n؟������;
H��o�ippc���-�=-���
�'��>P`��6�p��lq�j��+�
/O3^7tlDϐRW�O�8�׾����+^*��3H���4\�$�7qlN"cH��:�Em��K�����a�˿�P%ァ"���9�M0����]^��ē�=������1��	)^�b��1n�@9ǣ�V�ʭz+��`�%�u��ɆvwK��M���cÀ{�_.�v/Vn����:�Yj�^G,_Csu��%C���
��U7Q ��#���")�F�^>O�!9#�e�]��{��G� [...]
��$��!����h�>n^ԩf`r��;\859:��\V�sv�F��<���[O�͊��BT�r���=�"��?�Ԩtݺ^�v�
���ϓl4O�m��]`pF������c=�]�O�Giҗ���Fhcb$~�56���
�6i��a��=�c<��jCؘ
���jl:�jH�}�&g��X�Wc�cB�B��K
�
��S/�M���wM�~�����n
Zuk��e�Bb/m��
-tQM>����H
�@c�o"_K
��^��J ��ݹOө�-'�0� �6i`p'��Dt���
zZ�!�dUW_Rk*�R�u��E
���k�����R#�
ǟW�(�0ay���
Fkj�k>��(���S��$�;���TB@�#�"�����n���qrT ��Vc:��c~_m��J0�K��x�-n���.�	�����P���⼪P�{��u�J
-�Mk�(��xS%ݜ;M#���R�b�@h
-���<�^ ;�Y�*=�|2ߎi�)[�@�٤3�Z+�j~}
m�g�-���h?��Z9����ү��?bW�����:��B�/�
-���ų�S�w������P��$%��YQq�Q�]E���-�YX�~�S�+��hc�%-������x��A!�{�Xy�� �讙,�?>E-�A�
��:
�N,���;�B׋��ڿJ6\�`�zv}��m�?�)�u��z7���e�BK|ѩ~۠Z�R7� @�j�C���t�
?چ��`a�Vp�al'�i�	�
�7���d ���7B͈��)�v�A�`}7��~�M� |�f�՞����1�o;)��0�������mi}S��PNrR�Q�q>�
��Lt��W����z��fB���b��0�P`��Ңs�5qŸ�A�_᛹�C]���R��/�X��K���|�J�Ǽ��vJ��P1
-ܿ
�������fGl+����d�(�瀝��D�0)��Ӿ����d>�Ex+�N�.��>�g=�
@_�U�CN�{�fu^<�Z2���|�"\V��u7FvM�/+���*azs�'py}ᵯ�3�j�S�/�
�7��$߇�*I)4mKmN���58Ի8R!3���O����_�ϝ�L���({�
-Βx[ق
-u�Y�h?gƗCF5� 0l�7�?�%8̆��:�NV��c����4�b$%�ѿ����ض�=�"2Ê
��������
�LR)�y_�1�N��7�pNc��n�;���� �r�e�UA����J��.y"l��l5�
ȱ�#����:�\/�����K������$�
��
-�һ�Κr�ؤ5B�����e�t�S
d� ����1Y1M;�
�׻F�T
-<]B��ٽ�FrCB4����`��_�p:tȋȢ��ݪzA�Z�(I�A�NRWr��;�њ�l�q�ddP���$��}�S^7�!C����?#-
-�/\�!�x�
�|�$�Z���`A�^��9�t
/D���u�
-:��{�'��nT�%
�#�8i�@�
0��[�fs^
-%Lm�J+-s��J:�ƺF@�2�C=�G�k�T�Ľ��}��N-N{�HH���3_"�O����F��N�w�X�2���:r˹xQ
�9�=��uG,�
ͳґ�\��}����dr���"
�� 8h8Dԡ&�������{R�1�*��K��"��MV��u�k��0A.���1R�M���U�j5͞���'��v/"`��?�V
�l
+ǝ�
�
|o�f��2k��j
oL-J8��)H�q����b��q[}�	M���uTB�s�I�fP���Gwz�#/�ȑ�F��
�zB���T{��b����b��z�A{!Y��l>/d��ab�3�&��]�)��
���s+|>�0�ʃ�H���
��UO������Y��߶x�i���3�-�V�k�j�h�K�V�yݶ"-�F1�!��Ƞ�ۆ�_{~
�=�Do�X4��
�Y
C	dL����9���0?ߒ5�RT&�����jb%�N� 
L^�<�p_J�
���
^�ô��|�|�H�D�ų_��hgC�>5Nd
-���^�r
����$�$����s@�U�%��n?�c���
d�������*�n�Q�@
-�%U�q��&�u��Uʕ��W� �
fA���QČW�83|z��D�x~�'a��)��d��2�M>k�{�ۑ��(��^�R�{��=8�l������&��H?�a�%K,���^Wo>k��*>�ެN)��y_�V"�`\�
�����>��e0�7.�_�[���	��O#�
��a�&[��$���Y��E�1�]��(
7E��:�<n
�~���}�9Oj9�L9����D�k�nlW���x� (1Ga/K��M^�oy�]98b���m���.��H� 
����Hӎs�2�$ev/':16/���2%co��1$��ch�Y����ή�b�r��ؔ�֡	"�O��Jm�
�˂g�K��Q��Ξ�$�-M�/�F7��4����&yD1��v	�?uH�>paT�
��
����7�����?��������Hu
&�p��Ci?D�X���(8t7��<M�c!���A�%�����Jbn�3I a±�&S�
5�����r�bi�q
�M���d��{�w,�Ex���_O
K�6%l�s�c���Q$d�~�x�|+��9�^qf�m�M�Ex��p��ҳ�('a�nc����ۑv@|/ڨ���q1���1ܸ�
���`�Fi^�Et`R�YbH]�զ���_�
_m� Ma=eӤ�mU���O"e�d�(υ���x�+���ˬ�Д65w}��� [...]
-���,�O'G%�bb�
-��Iw���3”�ͭ�ʹW!Q�>f<�U�.ys��k������q]~��p�_oM���E��嘟|�Z8hϸ�����E.����=w�^��@
����Ջ&���J
N�/2���1
-7� ���%�\
X
S;
���.k
��L\A��%��W��Y�O�>�35���I�CO�Y!V�}�2�FJ}c���97~�����-p3��J�7<õ	�R�2�i�:���7.����]"��xciW�
]��H-���P�QǾ�h�a�v
`����_1������
����F���̀����ͪin`�p]09���^i��?�=��G�˝��	�E��(��
8�Cr�,�Osq����0�C�85�$U?��Amȗz�p�	rN��>уև'�����w�C	�
R�d���E�HҲ�w�5@�D<@[��H��>;�v+	҇�ח��㾃�E�tƁ1�[�-����vɈ@�M��y=z�]�Q�G�ϡ<���������zj���ĸ	~�Ԣ.�#��b6���"t��
�
�9
���S4Q'u<��\RȌ���#���(
�>�*`����AG����%r�J�n��]����˺��48�NCA̔��!�=�Z4ұ����"�
.Ц���b8˗�D~�Q������g
�G���4���}4��4-�����&PI�
"`$<����@����t�;M��7�s���A����@˯�U"5�V�~��>6��V�R��ʶ�ɾlQ���j����^����L�P�
!�W���=�!E�7v���lnK)|������$�
�d�P��0D������ k��"�S�+���8<�s�%B|��=��C��`��=�	�
�����?P [...]
-P�z��8hA�%k����y
��L7�u�#{��$��~�ӎNU��3��B��|�i�E�\n�L�y�
��
�+ZE�iz��q� S�:�6Ji<dE+ΞDX�B�����n
3�V2D�ګ�f��T'#
�6L
��1}Ÿ8�#vq�՝%�ٔ>Ĵ�3)^��
]6�p.
-d����ZKmQ�x��
4l1��`��������-Y��������R��N�?�x�Y��*�������Q������T��K+X�g����
�'�VB-ZViֺ*����x <-���GA@�G|)H
�G�����ȱZ)�s�����#��y�-�
��K�>PH.`�$�:;Me�K��@���#��kB4�aF�殓
��� �x��•�
-T����ҟq�@&�0P7@�0nS��c#����^�����W��~5M@��8D&�߫�"���⥘�,��� Hd4�����f��HԤm�5��lP2���٪-k�ּ��L.1�S�@�j2R�oή1�k�S����9,!Ɉy�
%<T�Ċ"��/�=��i�1���un}���6:”t�<�	�#ܨ��Ym{=�PT�.�#����j~FE���?~���Ի@�Q큦�g�S��L7��?�IY�y#������^�Vv%��N
�jy���)hnX���
-;$O��D�VV�s���K
h�iR��W���\��<
x6�u�
�N��10K�ʵD����x�f�V]5_푼;o-&*S?��k�f�hDIO���p	���+��U��X�j^1W��C�Ѡ�m�Ŷ��`�6�3o��E
ɏ�
-��l��T}‡���_g��S���b4almʍB:�T���1I�
�@������p���q�#��ӷc�PJ��g%��
��e��e�͉<Z����0u�)��e���ae�EI��(^|�6v���/&�dI��y�a�
i��©q�������[e�F��9���m��x"�LD5��oF8���VʰX�
��U�(��h>�'�u�Dv�3��hD��9�R��/ȵ�s���SJ<�
���[_�$/!��*/ߒ�5��p�r�O�*M��S#Tv�uc�dٓ��=#��.*e�@l)��iw���F�
��/�������`g&�'�	qP�fk�s�q+JS�ɀ�߹
�/ #l�2����f��1���g`�$ý��E���9r�_�d���A�E�����L q�QJ!*�J����:�caɦn�Z�A��|���A&��|)�_�'dJ��z
Fw�s�
-gƓ��:
�ұJ ��y�<ӗ4צD��Xxz>�~B��?W�

Hxp���z�aG�T
���Vb�3���?V���>C'�"��z��
�(�b��UD�JK$=3��J�8��l��K��Ȁ���PK�$����R��AzS��Ƀ��T����9���S��k�,��9����\��9̄�/��S9a١ǡ6��\a�Y
��O~����߭�L�M>=��Ii-�3���~|:�岭Ҵ!�'�=-ٮ�6Q����Ō�y���v��x���6WA{b�0�����X��ə���V�۴�������1�2�P�
���'ub<��F���j�f
�X
���{T)���"����3̊�jy=�
_�N��Г��H��㢜)����
!�l���
�&���#ȐrfJ
�5j�S�

?�t� 'R0��*�2�,#fnJz`��R�^��s���n��0C:C+�=���Րn�g�.�t����a�J��h�Z+�zZ	G�D1}�x�=��.�'Ģ 	��jfF���'*"�I�!
O��7e|lc��P�i�p�
���l9�P���;�8ZG�,�/�L�/R�~|�����#r����50�����F�
�yknKU����Cfl��H�
�
��鴐Y�^�}+ʧS�/��*��8�|"�s��T�:��'R'�x3���
-
��cx����KY�TtY�Ɯ���F�r��	��f
�L+�_�A��(>�ֵ�
-

-�p�KQ���d���$��xT�p��'��8
��G�Fg����7��<��z#)ќ
�/	}o�/���
�
�_��z�V~�E6\F7���c|䰍	�<��b}�f�t:�r�
s�/�k�������R'�S\t�;l�g10Z[mbd�TQ��h#�&
d��N��P�~{fu�
-�0a=��mڪ�Jv[~Q8�ϔw�m/�z�r��2����V����Yg|�F�[�J;��M���/�)XfXT U썦�R.l�@>]���PT/d���EOW�
���Ra��5'Mw9��V��R�P�"0��"
?>���֭}ՠZ�����l�{�����J]n�v�N��]�1kj�����O�R$틫
���Z�uL�n7+�XV�0*,��
�
<�+<ʞ����vn�*~�=/�K�k��<L�#kNf�~����&
I�
��Y���q����N9�Ĵ�(�!�~mb�ə�k��a�_R�_ ��Mvj�A�".y?�
��?;ƈ
-��@�Ac�o5�t:�ʔm at b�(�w��e2u#q�~96�OR8�\�t��P�42
P�%9!q����!��>
	�/�!Z�S�w�Ңp�G� �\Y�
�O3:۽���lS+$�-X��d�i?w�5���N���$�Bl�lF%(>[
-
Ll��ԡ¨�>g�x���>�S�mbʩ\���u�`M�G�]\�1�lW�p��3�]� �9;
��渴q;��K$7*�B	�':�z"�5�
?s���Xqp�3|7�n7�Zi<�%+�-0X� Vl
gV��;&�^��7�CQ3���?�Y�u��+I8m�_
-
-�<�������//��
-�l�٨6�I#S��Xb��6$�Fv
����%�H0!�nⱘ�H�ene�óR�%Gt��=Z�����Sj�f�h5�R���o���Wᶑ9A�6�;W@��b��3at�$�A��l�X�
HW�D�DS��������t!�}�
��N�ħ�,�%�X�[dg����X�4l���iK
f{85�Ls����VjMߎ_mL1��4��0%����Po�����S���3�e�&�	iN��W��8Ւ��
�$1ۏ�RLv�;OG�ӈ^�Y����%�
86���n�.V�
-d'�(
7�&B��af�9}���jZu �ab�vq���H*n��uL���"�-[AR���u�����G@�'F���̠��M-1vU��>��Mf��1
�c#��Oa!4t�
��~`
-�a�B�~�1�
c9d���ͤ�B�=�m3LAO�Pڕ�����0gL�!�|U��#bZ.a0���J+*L��d�F�9�M:��9%
��UǐV��Η͜O"�q���F���>��e�z����G
��q�M�����d����Ht
Klg+ц�9rD���,~��t�X�R��,S��'�8
�
ּ�� ���
�45�w|ނޒ�
��IO�f�5wZ x��w("
_W��?}
�{�
�1Q����
X'TT
j�w.�U���B$�a�j#F
"W�v�����T�Z�`�v ��C8J��:#!��M�h����]�G�9�TB����ݰ�x�
��fA�jwN����Bn#1�@H_Vk��}�Y��OV�̋~�zRnޜ�Ǎ�Y_٧�>״7@�ѠH�� _9ƿ��:c�m�_b�`�F����]7jĺ4-A�V�2i�C|&�\�ӎ��-��IP>�r�<�5������gK��5
WCy�4�n�tX���̧ʽit ]���(>f��8FFI9>��":�ү�BL�m�]�
-U鐇��Ϩ
��0��ް�Jx$�fÎ`��)
�qVKd_<���p���
_��&���W�L�
��}��Vλ;a|�q�syS�%��9���^
�T�q0�#i��.d�Nn�[.��R�S���\�r�R$�u�i�P�j��k��'��ۭ�0�0�mMKEfW#��*�z�yÖҡfn�dd�vq��\]��6�\;L;_’�.a�[�ʽ�|�TC��������ǛY6���k��}n�Oͅ��g����З�	"���t�Ό�@Π��ʪ�~��ZsP��0�� ��q-��Ψp"�C�O^�
ї�ӍAQ)ӣ-?i
-�B;�a�e��l\'0Sm{Zg �VSnү�q��c]�QM��o�T�&
-�7�>�
�Ll���V]Š
-�c�2���3m���l����xklOHE�Ռ�	F��u��e��k5a��|L-�:o�D’~��d�߰+
�硇=�`ȾZç��V9��n�t��Q�$TX��[��I��Q�uEX�ȼJ��RPIM��m�]�pmB|��)��G!*U2�St|>@g'~+�~�q/ٙ�'��Ik35�!*�+�|��%2�rDž�*�����k�N
���������nJm�;��ey���H�n����9N��A5Ϳ�2��
v��V��
2�b�n�G����K���T,�;�
ʘ�չ�IY�����>�{��n��k���+I�'*6d���n�^�p����+SėA��
3����'z;�Z��{kc8wJ��]�I�ˢ��F�R�V�3P�����6䶃��O%�����:��%]�Ţ�gZ� �:}	N�π�9�t	1h�Ix���D�����@U��U�RY��vF����m�l�T
L���qO���:t������˔���
��ַ]� �M�b��K��;�]΃#��j0�ӈ�C�پϩ��Рd	:��0f���<0����db���p7OmA�[;����g+wY��;�H�f_�-`�Ԡ��FzE_;Y�&	O�沺�������iJl�	_��Bp
4n���\����

-J��}�A7[_���!%сL˺����\^H�jA`���P8
-��u��HUep�8]|�����9�
a'я�K*8
?	ma�aa�X�DS�m�
�l}���3��\m�Ի��?g���I$aKj��	�����(�?&y�w7Τoca��ںw'x��x�l5����"0���ʊ�
-
��=�o�r��"z-CN��qv��$�\��m�3D�7�D��frҔ'V����h
�O��@��+`�?4�
���<�|=����X�]/�HQJ[���eq�h��p����PV�
oE눀�&
-�(<
2*�z
-����	6���Û짶��S��<�Y�
-f�K2�Q�~%����|(+��%N�ר:��$Ր��m��?��
-%�8rr��5�-y"#�Qy!� ǕL绹h��͠�
�o�>�h=��_|?�ZW��.�js$�,�@��J��?
7D���}.d��,|p�w>
�6Q1#���=�y��?�

��to֝D�uR�3�U)�������Ll F��@[#Gk��:i�endstream
+x��UX�ݲ��[�@pw����n�C��
�=�;Ipw�������oε&Y�?��h_�����V=Uc�x��D�+��	� �u�gf`�!��`f!ff`B��u :Y m�
� <��������f�,L��
<�l<�lĢ@;w
3s'bjQ��8��m Ɔ��r�N� P
cCk�@c
��;���5��?O8+
. ffb
c'b#���-�?��mM�Ĝ�6�8����
��$��$��$�hk�Nl0E`��r@J�����K8[[����_]���
m,����hc��p �� 
l���:���D���Wi'Ck
ca[3k 1ӿM�n E
'csbSCkG��� [��-Զ	`T�V��L�_���EEC
['w������_���8X�k31011�
A���������M,lA��������
t2@�N��Llakp#��32��@��Z�Ml
+t@�g;A;�h�/ۿ�������;��3��Yڼ�@.��@'�����7�?+����?�lLČv� [k��_V����/gPtc���ễ������
`�n� =
�4y7q3z 
����-�?�R�������d� ���V �
�
�����/�8G�6��A�
.)m	#���I�hk��*��?���O� ��
��[��@qE�	S�@��	T���T��;�j�|'P�R�!�N��2��.�N��r��.�N��
+�!.Pv�weWz'Pv�we��N�>��H��;����H��;��h�H����E�X���8��+����q��(����0�"����� �?��/h��*4�
A%�5�L�-�B�&��$��/�z�Nff�*ۿ�
+��T����������/��x�� UN!H��_R���T��uˀT��� U�!H��_�ϥckb�����w���͓
4��,�1U�
:�L���Q��4T�b��gb���?VcgЕ��(����� � ��s at c� ˔��R���2hZp��X���3m�����e�iWh<���!�B��>�9��z)�I���Ǧξ��{4�i\�˹�ؑ�
}l��}}��0�:R��Y�����(W�ZLev��K��WWF��D��jh�JVe�T��0��W��x���@�P�F�?�V�O��p9	���&cjw2���H[Z���w�j�tK·�s��4�+�����2���/#3~S]}v�I�j�[���U��� ��V&��
'�Exs[�*Xml5��D�J^�����-�h�
����[]���������TD2fJ�#�j�
�/�2��1s��/��|�
ck��-%
+��L;QH�gwB�W��G�E�8��
b���P���
��Qí:��'�ȃ�c��_$���}d/=9�o�*���9�
։�U�n�Fݑ���d(i��,x:��������M���~��RM� 2�<����Ȟ��(fw*XeP�ו�� 
+�2�ˆ��G�ҵ+�E�R�/�:�N��c��"X�)�·�����V�,�y�&�-�܌��d�m�l����sKz}zX��3
�g��}%9M2kQ��u.+*�%����u���b��}�(���=�彶�g�����УJ٤��_J����%�N�QsT|���
�q�28�5��S�}�[lU'f�
���ӓ���=왭У6s
�8�P�
+$FX�[6���ο!38�ۣ����z9���&̶w#.��'9�
�?`�
���$a�";	�~_������A�?�
n��
�3��l�ߕ��
+R�_�-�
�8���`�yc�s?���
��/�C!�78
�03�<8*ئ+����~$�)=��dn��J����x���~���.���cc�O�o
�V�8���}�U���*��G�o�}f�I�|X���z�f�e��e����L
`P	t���1�NO���7ҝa��s��d�T�
���СW.'�O�WGF
F!>\��Ⱦ*�5�$�
>.w�uW3�2V��W��hQ�1q�r�y75���E�NV9B��$���sG̊���_�r��ʘS���5��~W��GR?r�K9a�_h�y��p.Z=��.s���*�%n������ɮK���t��԰��
b3%��j?zϖ�u3���R2)��5Q:����Ȯ~�1��U5�0�D�6�s�1vDA�@ޘ�E��
+��6�Ю
'�\�F�����/S�]�u14�m�=�� �[���Ri��՜��z{4��OJ+���!�Rϰ��Mr(�fd�@�y���qf�S��fj6�֮�X�MW/�!Fހ9��v�Ȍz�<_z6���L�P��?��6��q�OM̌F�����B
�;�W�k�
y��a8&B}�a��/8����,��`�.�wh�`R�t��W9��8���d������
I�C�����g�q.!
%��x���%����֠��'#��P�v!�Պ�q�������/�ajI8�/tI����mk���''���~�t�jkP%kߌ�ٻ��h<P㍼|�������mP�����jn���/\m�V7��fuI���^#�8 �L���h�*����<�����pp�Z0P����[�ȅRu��a�;�os6(�at-��5�d
��|F�Yȳ���Q3��@M�
еnJ�Լ����P����<�3Q{�R�Gt=��ֆ�i��ϻ[�\qx
+����Զa8ZpkC�?�I��㛼Ai���@� ��tMZ��o���T��D
��A>�d"
+7����{}� �x
J6�lj.�)�v�d
+p5#Y$ok�‡�2|�٠TI��L=Jn՚�( )�����{i4	��^!��"֟GٸVI�m
W�'n_�wU=����o3rM4��$���!y^
DL�:�ш���q��UU���U���������
�F"��G��{!��D�H��<���u��[>�r;JY:G)������ 9�Ѝ�G�
����M�ݐ@%MS����7�&���n~'m�@�
��kcR��	�]�(�vf
 ���'�b�/:@%B�+3���E;�U���Oe7��XLOn�O[�U
+
�p-�Z!�&ѻa!�#L�Vb�q�붻���)/Jނ��rK="�,�?5׶������r!s�����~��~
+�L�,����?��vr�����BfF�o֔�s KB�+��`������ҍ}��2A���C.E�
9�A�2p&�CI��7�ù.���W��._�g��n�!:��"��тU�j����=\���QWf��J���A���-[%���������_g��
B̗}��

6��k�ۦx����h��b�w8I�>+K�MԛG�4���u
�M/p�
śH�2�a�W�U�J���`�\��H���Yq�S�Ԭ�XRP/��D�h�ûO` �^������MᰈFS|=��к�����o��#F�D)�B����ೊ��ǹ�\�[V_��c��S�.��B&�B�o
+ɩ͊�
�|6��S�*�k��[�1C~z�$؍���z�9���)
�o¿<�h
�J����>
�9�,���,�R��H�Я>a`<�x��8�6���U�ēcdz[�L/RjP˛f�
X_]��:F=!�N��
+HC�?�d�)>Ve �(�w}�uw6�d�����:�PG���������z��(�c��S���h�m$V
�1Y%�/η�
_%���t��my��:�s������~����q����k���
��ūLX�
N���Ɇ$nh��*A\�������a>�<]�Q�jl�4aHS +ѡ
p���	����m>P�0|q�g�Y
+�NA�܋����b�dK�9��܅�)5'��e�O,�Ď`H
+y�yb���?FF
�T�
���*+ͅ�0mGo��wU���
�0����*$����O�
��a{�4�Ct��!��k�r_,?J�g����g�Z�6b�nϤ)�d*Ie�����?
]ߜ
���(
��7�kj���J���3"��^Xy��
#-��Va �^tn��}�	��o�v�q1T-4�|�)��] &n�Q�׿�Y�_��c똼�
+��ºέ�-�D5`c�m^��i�󆎍�R�*�IG�?��G��m��C�y:)�^��
�����qD4i!U��
�[�b���<7�Z�w
�$\0T���R�q����؋�3�8Ӈ��z8��]!��W��TF�Mo(�8t^��W�/%;
�"����[
����A at q��əX[L(p���������-�Um6K����k�A�����A�i(�Zn��
+wRDo"R���K��Z$'��ٌ�
_3/���������m�����ɕ�A��0��\�G��N�*���+�dF1akH
�j̱�%R_F2%-ټ�o�
��g�>��l�xϯ�V�B�� S֥T>�
��Ή:V��o�r�
+&'F&S�J��OoZ锚��p�C�隣Xq=_���ϑ����E4���[�*Wo�±��x�l�(��9���O�?��|줧�m��O�(M��L�_� mD�����ʦU��yn�J"�1dt��z����We }.o^�Z�MgMPɼ���h˰*�{L(��(4_`B�~�TP�9���؀Վ��O0R3���.�e��H�ō��N���14��	��hlu�䫩�
]k2�T��r6���ڵ;eĜ�d��&�������U�BN���Ř,k�kL�����2��q�w,Y�؜Y�����s���-#.���BiMLw�Q�!~�{h�
�{���Hq$�'�=4�|׉
�9J��g|�lH��y���8�Pfy��
�����R?�	=��
�9��T�[�so
��KQ^+�q�:
o���s�q�"�C*GL�N��3P;���d�7-R�g�K��6)7a
�O2�p�_m�Xɫ��m�L��_�
�ˑT#+��Y��g���`��7���E^�����8 [...]
+nIRzcӁP���4Z�-�C��IJ�mr�u<))��*e�D�	��&`�6[]��"���_�,�wª;�Q�(4E�
��D-t����<�.ڎ7Yq#�H���&o���Fvw
����{1qS��~C�3���Rz1 T۾� i%�
�ua��uݴ	—k�]�*����
!���"���(�گݖ�5FH1Q
f'%6
��!� H�|������
�[���_c���p%;�&�q����jE
�8 :�#|3�x��>�_b���U��CWɏ_O{O�"~�7��NH��G��{w�֞sVbU
�Y숭��ӣC��%z
�

���%w�Z�|���fs_��
�mÞ�ӞxVC�I��U������9w��gES��C�w,¥%�w�d��y2B��.&7�A���{�b���f?u<�@�Rxq�<I�}ȫ��BӲ��$)�Z�C��%2�ko���{�y��u�����X\~Օ�>1�4i���-�@lje�6�sF\ddC7 �y]�3Z��L����ɤAX
&���/#,FR� [...]
+f�w�?�Թq�\x\�+5]DX�G�{Ⱥ��}�#���RE�
�5�q�����=��bB�������?01&HS_
%o'����!;�MZ
!4CH
l\BNS91G��g�٩���а���~�k�J���!To��-n �7 D�ɫ�B���M���,�=ץ���9��XX�(�~%������g[AF�+H8NB��G�-�u=
+2ث�{�3҂`��"���~�GH��
�u�;酎�_���B��?^�,��
��~���F��ġ���%N�K\�F��H[o��K���[j�f
�_IgU[U�_涩�|�o���5V�MwS���jm
+�Գ}�kD�i�ٟQ/=���
-Z�̪%���e��
���%;jWs�����8-�~�Վ
ףY�z�N"��,(��m����CD
lT�o�??��'�����4_����-�~�`�nXc
+��y�"�C-E�ӰP��ZM����i`�X�`s�<
��s�k��!����|P�)[?Z����f
+,3vj�FqFTЂ!��L��c$ޯL��\�w�Z���iZ��#����k4*���u�9��
�x�E%<1jwo���
�<'ۂ���t��*f�2��
+�Ҿ���B�k$4:�h`/�U�@Z첈O<����}�F��ϋp�*9Ǩ\��n˜��Qj�c����
��4�nѼfi�Z�z�ֱ�`y��e#�
m�|��
�w�e��M���A��t�f��y#�
� ��1��K�q?
_?���)
��[��
��Dٞ�^t<T
���I�����KIY�|
���kV���w��.��(�xf�+�!�L�ۧ���L�;x�˕�R�AUD
����|�肿�5e���Fp�<��52ߠ��\ӌa�K
Hᠿ�>n?Z��n�J�����w��/9�8
���gc�O
�o˫� l���"�ӗdZ����g�y�M;<=ɱ�#["y���
��-e� /n��Ԟ�

�d��Z����#�@�S^�'ޛ�I%=8�+�� BDk�����C��^�g�t� ��E|�+{
_d�s�Iğ�Á��7�?dkV����߾�9�߳K����&�
T%��nB�m�<�m1�J-E#��)��zݑ"�hu�߉鬶���%f)�d����
�,�(�ϗ������t���g�
<�*`�rn!�WD
'�
�eG%��ƑR\$��s��"�wܵ�7�R ��ޱZh�SJ�
���<0F��U�	�r��lqɀ��7|���c!	lM�ͽƍ"2	d3@ٷNVHj�Y�M
���Vb���@�5v�
�4|k?�
�����g�;�A6B
�I-L��@�,F���
+�M� O��h�>5zU�[�ΟV�����
�zH�0�҉�3
Of:y����Z'
{l�8MUE�n�m�$^��g����
	���瘃6��	ߟ_<���V����8���2׉�&�"<�d0�l�^w����u����~��@; �m�������w�f��~P��
+��4��$�7��(6���jUch�/�J��2y�����n������s�@Y0=��snw��9�����"s<$��^�M)j"�^��ʩZ����a���.��1}7�f�!Z�<B<N�R
vEz�������EL�3@^�*��5{Z����w�
+$*����ڊ�E/N�6��3��\�����vk-	�ub=(
�
so���m�{飱C���w9���.؋���B}
��z�$X�X��D��[8F��& �u;�BK����'�=^�
Aל	k"ȝ9d`�b�u��A "+�)�Gp�&�Q�Ci~�q4
"�
+�O���^H)o
z��_Ό�d#�y|
+\
���
N�p�ä԰
hZ�,:���pìp�l����玪�y��SB�m�e_t0�0�F�0}�`ᅯ�BG
�f�����FQ\�\hn�Ohy}�b�=TD{��G��R�<�P|��T.���
��>~p����I���$�ZH(�F���'�� "�u��O/�>A���P�'��z�v��7��+B���@j��x�h
JZ���
�����kIj��g%�l&Bz����!�߷s8
�L�3}Ͻ�Q�ܪ��$�)�7�Cϼ+:���9䃇��|�?ߢU�|wu�>��7����%?`xTn�:��Ql�Ώ���>�#��3�F� ���
��
�/c~�psHz at _>J{�O6��.ʂ%��~���	\�R'[�>���1y2.�0�3SP��e(��h%�
t�/r��v����dǰNr�<���~(C��!�A�.d*Ψ�cc8N��^V�(j�B��%�|r�_ߛJr�	���z��0 o{�� c��RB���RƗ��Ǧ��KX��R�?ٕ.(���F
�Q�
֍�����A
bu.d�ޏ�K�4����ʮ�
U��m!���4�L�Ȟn���Z�H�_�}
0�o���T�{^lI����yv�X�/��ԡ;gi��
��G!���"�=
���J-V��_b8a?d�I�4���})`A�,�Z�z���?i��r�X�D�
�3�^ՓQ��A���&���
F#>p��P
�vwI
8/�ٜ�~�Iά��k�+�͡�`��K"�M�I{��l��LPf.��<q6��K�Y�
��
�+Zy�IZ��Q� S��JI
Dy
ήDh�|*����u���_
�R�U�
3�J��!�T+&��
�/
��q[��Xb�,Jobڏc/E~�,�;�V��RM���4+�?
�� 6��m�1���y鋔}��/�k�� ��m�g��o���{%��D�m4��}B�hl��$����8Q{����+ �����P���U���ҩ��$O˅�����_
+R��Ѵ��5*b�F���
{
������Gn�~3:b��������ɉ2N��~ҟ�
���¦g�5|�o�ѽ�ke�j1w��ܟ��q%��3<���4���
���/�[�y�*3s:��A��i�kU29�LR�Q��>҅
+���;
���x*�"�d~"��f��?��Ţ+5j�|�� +
�
`/t�lB�\��5�+:�
D
�їA���P�m���D���T7*|�@cKH2l��L	�=����>�xO��c
+u�1�s�[��j�ƞ�09�:W`��7��dF�N�@'�ոS���9/���Q�(�
5,ܗߵ8"�.�xD�������	
�Yq�;�+��%ybfU�y���z��-�'E>���y1�c;�j�|2�+�Z����6���JѰ_�Ui\ٷv��78i��:�MM��Mw{��%m���>i�x��2Mѫ��\�����W;$��[�����sZ+Y���#�7\B��iJzAw���V��W��6��Fн4(|�1�i�;�u��<t�r��!�F��Z�!U
��aff�����G���7�[s"��3��?�O�"��S�*o<�Οu4�_x����n!��B^.'_\��w�,`�
�,�:�C��
1S�}�n1�2�hU�1���:/ns
��k������$�,n�_%o9(�#-��[09����Z���~���`p=
�س%1�O�/�������g�X7�JC��^��
I"��B�
�'���X�Ɨ��J
�H�?kLJ���&nV/�cR�Gk<��� [...]
� A~

]�� �dN���o�c2E
~�vûϏپ�c�e�폳�iXŐ{
�<��
+i���"�@,<]�(_!
�_�
+�L���$<�e~�ݛ��#O��~	����}�����`z���pat��X��z���* t�&���@p����dԯ�rݥyc�C�
�q�&f���b)�� 

�)���BB�`���r����!I�-g�j��Ϝk�d.��
f\���i�Ya����V���
a�
�O�f��?,�L��?=��Ji.�1����~|:�岩԰&�#�3%�&�:^����Ɍ�y���z��p���:[N{l��?'��h�X��ɉ���V�ˤ�����ןQ�~2��bu�Ǒ'5b<����n;��mX
}y
�T�3F��B�|�ͺS��*9]�s�ڤ�������b#�(Z}��
+ ����
B'�<��ɐ�����k�S�
+ ��?=u.��ɘo��L��7�ݰ���)�/Ԃ
+�9E�O�M|��

!��{�H���N�P�:�L��S�O%��4m-��-�#����W�]
����wG�b��x�<US�|T#�ce�D�`�����R>�Q�!(�T�
��zl9����:����<
�C@��W�
&���_���Q�a�V�j�0�3�0�
{wv��U��J̖A��3 �=F$z��v^z�4Z�̑˗��򲩔_j
i:J�ڏ=�Hb
<1U<� ���H0�
�{�:q�t.
�_�}(k
/�ؘ�>�Yk@�V̙>a�ب����f)<�˹ĺv�B�C!�z)
��9���8�(�������
�a�"�����d�3w��70�g�\g(%����5��m�%���]�>�bPg7��/Ո����3��#�O
6сG�X���
���N����qE��4����ke��
+�{�lu�G��GCj��
m��+ݐ��R��
s�]���K�nO-[`ƭ���OY�U�l}�_N���*
���_kQ��R��lS�W9�
_�r�Zn�R�i��
�M=	�
�
+����PÝ��ϣK�^X���/�;��abaԓ\ȯ���f���.E �V�zY���B������Ѻ���Uj��~�z͒p�U�ɎЎ�
+����gL,!�[~��X��~uѥ{�7Y������b�kĪB��ѝfv��t�Gٕ�
��ʉ�P�Ϻ�Ep�}�9���	{d����˵1�؀#�A�2��Q=�-VV_���!k����5�֧E
61
t�<2�@�[*�+�w��u0H�E��||ӵg�hQ�}h4h���F���/�되��m
�w�D]H�)_����O �5\?���7
M��sE�I�|��
+���@��ɩ�VqF��%7��Ճ#WT1��ь�t��8<[�
+�j	�,Zz��^K���j<��4�%�V�˒�ӽf(].+�/7�Ϟ7�1�K��s
�t,��?�t��_���rW�kH�	[ϕ0��
~W�&HD{J���׼1&m��/���
+3_L}ʼnN�� f�����\"���4Z���Š�ťZ� d�Ly
R'�[�™���� �
e�@�Ɣ��(�Wj�}
s�JN�鷼<4O�>��\
<��KF\
��
+�YN�uR��$��o�h%�����D��zr�	�L�)�x,&���Y_k�,Uy�
������9r�#G�ع�&X��$�m'�Y�2�Ɩ��g�AP������S������8N����+]4�%�&;����{p�sp=�
�q1�{��=��#
`	:T��^a�>�-	
ty�A�T��JɅ)��rF�<�L������.�v��s��}}=
�_9y��~���~vc�d�(?.͉
�ʿ�R|{�Mۏ$f�QT@�ɶe[��i
+�3� 3�{����C��/�f�BՊ@V��ҷ1�,"d>
ff��W����{b&����Z	��VX���?�,rY2�$�������?�i�~v�x�e{��M��h[Ub�V\���[��<�⹯�1^�@C����$�4ɷL���[3�A��+�L(�����4��wGm
�^i��|��
+u”�g��S�Y=$���L����”
�G�~a���ߠC͘U4�
Wqn!��x���$�e��fV`��U���W���&�'|�_���ر�;VE��t��ЁD׾�f�
e�s>[t����7��-T��%69��"�	x�����~�
O�,�~^C�lۧ�-�-)̀ڈ�q:Hc��w6�i�"��uE	��'���Wl.�8�v�U|y倦x�bh��i
@��
+��: |X?be^x��W���M���
&vbH8��Dq�#2Rܸ���t!h ���G��ׅ"z9��κ���Ͱv
Rg�S�-]\$r+��Bڒj�d���*T]��EnԳ�R���@
nT���*��
=�����>�:%X/���Q��T�i�h/}�b��P��T��C��)	b���	ӟ�ӡe�
��oY'��r�Kg!�I4�\��>[H��b���Jvy����e<U�N��-�F�0���1ҋ��Q���0b�k��7��\O�<�i}F����!w��]Q�#Q1
r �	Jn��\$���;��g�e����$��U�2y���6;�[y�R��1�C�c��</��u�����°�ڍ�a/I�VCVR���R�'��U��g"H��")@ͫL��J�C�߃U����]o5����m���3:��U�֊��74r�&"2���q
�dkG�d�`���E.���n�!*v��S
,�?
+"�V�
m�gZ������<Q4Xܞދ"~B_�.�$WK��;2=�
9�j�+���+sվ_��\j]߶
�ŗkvgZ�1
�T�n�J�
m�ICX�ڱY+6ː���u<3Ֆ�U:BM���.�3�J��,����Ɨʺ�DA<�Q�;aɀ���ʫhT�>
T�Wr��0��[o�f/��q���;�p���S��t�0�FL?�)��g��HX���́q�6bE�\��<���
YW��4��Y��
�ύ^N]��ê��k۾K��)��򁿯� ��W� �|Z
+*��A~0�u�sg�
��<8��(D%����
+�g����o�ׯ�n�ۓ�~>֩�&�D��oְD�Tn�Re9���Z�-�)#���P5���U�
�Mr��L�W�n	�u�a1����C�ƹW
���1AN��
+�@������ �ȽO��|���>���\rf�����6�<��r�V�U�`�2]��C�
U���)�DE�1��ZmY�b�1�պ�J�_�mBMջ�Gu��ގ#��vߚB�
Svw��Su3���P<-����t�U�f��%��n#0�S�,��s��
'jJWf�����?@�L]��3`�y�4^@
�f�$*�e+���Q�d{4����P6� ?==�A�^���8�+��y
:�~~"D?�R�''t�8C��-M��%�hla��Ȫv/糠��j̢T"��"��j�84(��'*��l����|e�(�ص�����M���nV}~muYJ�mj��ҰY�����n!႞QF�V���S99��"<ja?�o�P�d�W'5
��o} �����T�
%��
ʀ��f�����h�E�bqtw/�^� 0WY](
�h�:]T�2�2�P��/�y~�i���j������Ee
�_
�6�s԰0P,O"
+�A�f�t�6>u�`��o.6�j]s쟳 ��~~$���Ռ�K�AzHxZ�T
���Ӷ��`�Olܺ��}���7`�N��m��Nid�q�
	vr��6B���H=� '�c9�z��~L,��� �F�M~7>n�+U��;0
+§�P�'r���܆n�}�h������,�C�0���OŒ�M�NZzbn+ϋ���U��~#�G2
�>	O
��u�x�Ĩ�
�n�?)_������3�${)t��{N��|>�
u������kPp|�����L��t���X1�{���4�
�4���B���L�^�z�{�f��X��Z�ϯ>e�*�Pi�^�8�,
C��J��=
�G���}.`��(x��w:�2V
6%���5�
q��7�
��dwƍD�eB�3�e	����������N@C+��ji�endstream
 endobj
-564 0 obj <<
+560 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 11
 /LastChar 123
-/Widths 3525 0 R
-/BaseFont /EHOPJQ+CMBX12
-/FontDescriptor 562 0 R
+/Widths 3802 0 R
+/BaseFont /WIATSR+CMBX12
+/FontDescriptor 558 0 R
 >> endobj
-562 0 obj <<
+558 0 obj <<
 /Ascent 694
 /CapHeight 686
 /Descent -194
-/FontName /EHOPJQ+CMBX12
+/FontName /WIATSR+CMBX12
 /ItalicAngle 0
 /StemV 109
 /XHeight 444
 /FontBBox [-53 -251 1139 750]
 /Flags 4
 /CharSet (/ff/fi/ffi/exclam/quotedblright/quoteright/parenleft/parenright/comma/hyphen/period/zero/one/two/three/four/five/six/seven/eight/nine/colon/question/A/B/C/D/E/F/G/H/I/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z/quotedblleft/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/endash)
-/FontFile 563 0 R
+/FontFile 559 0 R
 >> endobj
-3525 0 obj
+3802 0 obj
 [656 625 0 938 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 343 581 0 0 0 0 313 438 438 0 0 313 375 313 0 563 563 563 563 563 563 563 563 563 563 313 0 0 0 0 531 0 850 800 813 862 738 707 884 880 419 0 881 676 1067 880 845 769 845 839 625 782 865 850 1162 850 850 688 0 581 0 0 0 0 547 625 500 625 513 344 563 625 313 344 594 313 938 625 563 625 594 459 444 438 625 594 813 594 594 500 563 ]
 endobj
-556 0 obj <<
-/Length1 1527
-/Length2 8712
+552 0 obj <<
+/Length1 1996
+/Length2 12695
 /Length3 532
-/Length 9615      
-/Filter /FlateDecode
->>
-stream
-x��e\����IA����K$�n����fb�F���S��A�$�����3��~����s>�ߙ�s�k=�}�{��0�i�┲t� �;9�8y�xE2j::�< ^.

i,&&(�89�a`Q ��@�
-�{���C��� 2N�p(��`�a�k�@�
���� 5 ����^9� `�
 eo���	W�6�
u[ra��,! �l
q����I���	 �������PW���oM6 B����
�[aq�;!��.�7��;�����:���w��
 ���prpv��� 5'K0����%����9���
hI9Zۃ<�
-A\�!�`KM
d�A������������:�ʊ�
��Կ5�G��������y3�=P�'���_^�D��?�L����#���h
�| B�@8�� H��
�8Z�=`O�07��
� �_���
�p;�`G{�쯡Ey�
����p���m���C�3��d�;$�v������ ��
��� �(���7����ܠ�� n�����:�F`7�i�'" ��v{��*���!!D=�߄H���?�[�7!֫�KU�ME�߄���	#�i�&D�߄ȩ�!�7�7!rZ�&DN�?�˃Hj��Ր?����uX���^�����X���p��R� ���7"�5����r�V� B�"4\�@��Dh���
�?����� B�"4��@D!�+�A�-����y����<�9 �|���c���T
��}��#��
�$�8�<<��|GAnPĽ����D���V�{
����@/BlS�����
-�*�ّ��[��zf;���$ ۗ�����7��� ��������5��GkB�8�%>m������
��Tgj�mg������O��5f����5,�><��d����X�C�5vo��
y.d �a�
Z��O�M��R�F |Ń�m"���`?�p�V��S�7��B̼�{3�kУ� >�/-m��38)�W^�Z_�D�P�J���,2�{ӫ�>�9.�_-vO��j��#}��xl�>A�3�ʊ1%��Q)���v *�R�F`��.X1���T���[�L�C0G�QQ*KY#���S��`�&���')S]��+���Z߳���3�^��xF>��
�?��;���j�/��0?����w.���:g�?`�d�EC���:.�}I+m�+�o��by�\�Z���>�)�;�N�
I���3��U��ǫ�xl��
��bF�g����)��
������|��.���f�S�g�����8&�L�6����-|�0�Ƹ��r_@��E�1�C�
�>��s�:q�g�c��?y� [...]
�q��j��6�x��OVVD�T1�CL�:#h+�w!X�����c��9���#�;
��ʋ�^$�����^�oO5�b+����bo�f�H��x4��"\k
=�%4���[Q�'(���*pM(`���N���LX�,r*ݘ��*�Y��V��p�CS�z����i�I�M�{���a#��< 䫺�>���"�g�R�g.��\Q�y>�~y?�B7����g�����
�e��ya��Pf���ξRE�[������nE1q:����Ou�S��*��LX�����8����WI�i�Uk��l4�t���=�wp
-���^�E8�y7C���P���#s<��#����_��[.�p&�[�Vl6/��E�Hw�r�E�8���U{ge�9�Džz�![H���)��%�Z;X��^���j at x;��Xr��>-*�Eݗ�M�8�@�O�W��}�PO�Q�.��v����’~��&�sy��Q�Nn���졼԰��0I��ȰJ���lj	��I��O���G�$ o�ҧ��S�\�
-O�^d��#C�UeMZ��E&*�&����-䒹�\N(�NK�{���\[L�ڇ俙*�BET�����,@�,��%�M��ß�'
vHm44��
]�r�X�#�F�
P���H��4p�(
�ح�|�ǝ�Z�mLYs��!�F���I���u%�
x����4���M�>Q��,�mĪ�0�ዙio�腯ا&g�n���S
7�=�V��/���階���ېWɚt�n��o��Oj�!W<����a�����+]7WdVJ�� ~;V*��nҜ30
��#W���4�iEy�s3� v�%	����*�chK?��ER�f~��w2
�l&K��W�3��BF��c�
ps�s�w
��q�?*F�ā*o!�DR$�Q�����s&s�Ƴ�>UW�v�σQ����
6
�m’pP��%l�#����1�&�9��,$��Lj��:2��cj
-xz�ְ|��ʠ�@b��c{J��FB{:����mtߩ���a��{�����hg�bBqtE���7�B�9w��\�ǰ�30o�腈�w��Ъ� i�����uȣ��U���z�R
-�6��ƧT^Ѳ�௝�y�Bu;���bFdI4��
�K�2ۨO<��
-��lw�`y]�6�/ ��[�� 3/�BPs�Z�DD$WTjئ
�0p����-^S�5A`K@�be������
-hv�Zx�A`�L$��j����Dﺬ�x~�w���|U!�Yo�%��+Oi�0��mrb����B�%�\�Y
��g� �~�gѩ��,�
)��v�F?
��(�
�Y�ۅ�^�2w�<l��6�d	N�[��'
-��)�f��G����
-�:~�cXJ���;�v/�D�h�)�؃�"�—�-�ƴ-k_�F
u���sF��/����zA+�xnm�8%�?]x∗u�l�}�bM�
H���l��=�G���q�T�M�b4=.:���,��ѹ�-u�']�b�!;��oU�S�=���BL�E�m�yB���TkJr6 �����'"VFN�u;\H
)���_
�p��X;
�J;%,����h�r�8$I�4C���{r����r��
V�4��֬q��]���K�DT��Sf�#��r������P��^�}!D&���e�X���	�.�j��6�HiI��V���
ļ.L��k��6N+�O��>�䉱t[��f�8#�me�Dm���$���1x#"SOL�U��4olڄ��c��3�f�*�U�p$~3g�З-�,\ⷷ&(?k�3̘V֩�;"͑�{եTtF ��1�%
�vT��B�u��mo���jKQ���
��k�
K�π
�$fO�'6y���2eդȉ�\�Y�ž�	8\��3��4~�	�8�+~���e�r�D4~e<X�!a^���?h��|8�mИ{#��c���wo��u}�5�@e��D
W����Ӵ$�W���lKI�<��D�ő��Lg��ȇ�>�S�a�O�N�aulaCk��lj1��]X�<-��/>�y��� [+%B�
7�M��	��9�|�W
Ԣ9`*���M��I�4`i}��$� 3w��B��b	
zd��x�U�Ǫ�
p6� ��yy�!�
�}��#R΄�&����͂��b�ٽW����e���/�OK��+m$�oi���u��J��p�xa#�	
������t�aGy��D2��
�8����l軣�Ş�V�
�e2��Jȝ�O�
�x�b�<.���c�>sE�ʊ��Z�ט�r��a
��;k3��,^
������%8ݻ��c���T���<<��ø�%W�����ӮY�(����F
�Z!ؤ85]w�
%��Y���m�=OwE
)��M�‹*Vg\��eJ�z�ͮ&�1A�}����.��/э(��
B���#����gն�
*�5�φ1�	1*�
��
����
w�v̛���=l�(����]A�� 5	Q���WE���ϫ��'���z'
1MJHwHW�F;Z4
�ɫI�	|q�����yI���'*}��c���c �=��	�s�#r���|�t#�E�Lri�
n��_��x$zW}9N�բ��E�V�T74PzA
-R�W���WԳb-=���/��ca�^�!2O7���<���nk�E"ua��|x�z)�uit��fH	����%HӍ���
�Y٢�����#�:��
��N�l1!?"]���L�y>��W���gc��$��?Ԏ������@a�
?��
��R�V������K��U�`�sz?�Ǭ�D���u2�6�R�ݔd�
�ځ�Oqe^�W)��{CU���L,k��*v[�A
a4t�.)��k
-7�f��*�kh�\9��V���*��3K����N��\�
�?�q&
BMx��/
�3s�
%�0�,�0Qb�X�HVN�[hUq)��X̼X߰�`����^�>4�8
����8���Ҍ+\��R}��}�d��Y����v�����c�
-7��7���(�R�9��K�-4s<��p�*D�]��{��	YJ����J]��5nӡ>t�#�`1�O�q���X���)�J
-��>v��6�]6�,hض���Q�I���FFU�
� y9�)��]��#��
-
;��+-�[��`?�ME�J�������)��ă�g��Bh�s.^�+���R��2Y����R+/s�
���:���bk���׭F��A
Il����
�ȳk�+���U�d�#���:�;���?�~����?{����7�r��]HTZ��[�"�|jUlS���h�L�
-�&푁^&�f(�
-���;�ſ�=Xv7n���1�W�mO�'˻w�1L'���/l�G�8얻�R��w���9��)��
�*�VH����i�\yB��ڪ�P��Ue��~)�訰�WB��^�@:g����gڼ
-������ j
��\4��+��8I k	�
����x�
|��,�O|2�\I�v�$i�T��`Q9�>"ֺ��Mk�vT �m@���5E�k����d�K�q���.���s�'/�Թ�q��T��)Y|�D�#
��'�lbQ�8w=p$D��&�ƹ����ѧE� �p��։��"��G�
��X�Ι����F�S����O��q�ӈ��<yZ<������Q�>�X"Hn�z1=ѓkG|�������.�9(���j��x=@B�@�83����[�n/��D���Bo+�l;y
;6��i��5�5����mm}i�=c_�#�:�
��d3U����`/�
-�TE
O\�F
�z���	�85EŖ&�5�
й��/h���tw�6%�J�[�r���}���*�n���*.iu����5/�@��#7{i���U`²��l#Xb5!���J��LO��Iۙۏ��ޭͰ���
f��k����
-o̎{�;:��
�k�[!&4~;r���^-<�ϝ��xG��-�;WE9�K����5y`����L��+����b�f
O�y��<�OK��K��j�����FQ�YӨ�H{E��CJ)9�F�dqxvU��J/
�Akˌ�
}���)���7�x��\|q��:�
�H���� ��p����}��|n�2
�g���]
-"�R�r����b��z��7�e���.a�1�	��ؒ*�y��D���y��9t(��_g�|
���Z�ܢ��r{�ZVNŶ~ ۀlx�3�V3����
�k�9
���Gv
;�LJ���[�Z>c9M���ś�$OjЧ,|L��#���H|��{�ųs��
Y�P����,�W��X���w�K�Y��Y�Nq��/�s�B
���4{}f��
-��V7�]�ku�*_"��*�7����s#��O	>��.e�q�2������ȧY
j�VڄOj�뛃��;��F>'�
�͜)�����=��gk��n_H�E
l̘��9����`B/����\m:)5 {�T�j�⃖�b�*���OϨM'�t��Ի�C6���d�\��dƤ�H�D�MS�2%���\��
���4G�i��v4|�.R�>�x6d����zeif]#K<�F���%(������9ߏ����a\�J�&�<
�'�2C(���`�Q9������ǚ��	i"��9�dn��?����P~�o6�R�~|�؎~�heB�O2��YDѣ�;���
-�JA}�Aɇ��K��7L~QC���E�!�#��d�Z������v@
-��
-���� Ӕ%��m�O�s�F�iԇ��f�W�z9���3pVE
�ӹ,�����);�
�d�-\��D����b$`�F^
-U�|�Ķ����Ȉ�w���ߞg'��?x3����aeYrJUen�TCg�L��A�LiWI[���C�J4)�I~�[�Bϟ[-��A������
�
�}�
a��|�:�~ŭ����	K!�o�
��� 3ϵwH
���NL���
���€,Wp�)�uҸ�^���s��+�˯fש���S���lo�l�^I
�%5�2�u:K1���&
q��d�]��~�1�xn�\:
VK��N�i��8�:T�΂W��Cׇ���f�'
-�c$�+�E���c��/�x1	����������X��S�/���*��_]����/���
�Ț���i=G��3�V���Đ{>���m���$�TӾ�^;
-�*;�|�+�:C4�.����=ف�{\#?`�1���S?�ҋU�;���v��,�J#�B�kL0
�H�G�cV#^w3�R��X?���AqW~�!6<ö
��rD9"�/Ȏ�*��"ͽ��+�>A$�oEfz�_]s1��b�mo�4�F"o�A�{
uOx�5/�vT�
7@����m�)TT���Ҟ&vo���4�����ɦ�&���z��nC-г�b�ah�d��4L>u\,%6	�B0�n>�/�y�JT+�tFS)�@�\r񬅃�-�s���n������m�tU����	n,7
��w���<J̝�cp�A�����/!}���
u�C��*j�9� �{�<v��p
K��
G���Y��N�]\Ł����O@~�g~3�ܱ��vC��ُx�����}
fV{�9Z^t��д�4�)G�%r���/ˉ�o����XW�-&C|�E�n]�Za?�8q�/?],k�6\�������"-P[2��<.sO�6)�Pn��6��é�gŝ�[�;�O|p3���Ap�v�'r� [...]
-���cBφ���0���ɢU�
n
{�h�5� ʜH1�H�F������^
�("�
%b���#4��R�?ݖ�k{�9���ȭN}�0_�^�l	1�
kUD�z�ߞ�%?��B[��ˊ0�<����`N�ۮm[�"d|d�wB���\�;�L<33)��&���x�3����h,[`�9��+z|�S�	y��r�gDh3��sQ�v�Z
-O@���7	� �[��FP[G��.�A5�����)ߚ���|!H(�W�nîg��Rq��m�Ec�T*�]�<��Ì�{���Y[Wf~m�Kb��R��=0S�*|5'!�

�\qJ
�9�D�3�z��J�
�m8Nc��񘉆��'�.��}�X��n��e���?
��_�L��E���4����C
-
-��FwE&6L�<3�8Uy�޷o�M�]L?H!~,7'ٗ"��rJ_�3���}g����5(f�W��Y��Sm��ûg.]�M�W�T���0&1\��Ձ=�
-��0ҋ5����i7�I�����9�.qEbH��ץ3�ʓ������mC튆\Ǯ4HK�
nQ/9�����c
v��1��� G�Xf��"-�~Ѫ+�e�&$�qM5��V�04}*�g����x���r}�un��d��Uj
J$8IR�����fWL|
K
(�n�[�8M?9;�
���l
<��~��jPf�����+�[�j��]զ�\�U��0q�28�
�qM4�E[J��{����̇�0�\�-C,oY�U��I�V�Dl��*�G��N�3Wb~�&⛗ls��,}&������U����Igm�[�=�%�Q�(�<�.)�����!
9
�����e����l�q

-��m���Z�񋢦���h*	�j�^�9�
YJ�ɛg��ѐ������TW at 6
��g���tO��
�����&3��Q���6��ry�J��r1���9Yb,�3�� u�Xʩᝑf턊�/�
�K}'.��/쥕d�]PX����PS��H�ZmL/�����bMݵ�:�y�
m���ߛy�?x�E��ꎠ��	

�Ŷ��,o�
�Qӹ�)vn�uiine}h}�d��Lؗ��R��Քv�U���}Zc�z��B"��C�O롁���.jB)U�i
�/���LGs�}����3�?7�\�S�I{�i��x(u�f�
O�ou��H��������+��˟xa��x����nЏ*2�W-��� ��.�J�Zr��
�c�m�o7
eK`����<������
�S��kK���%Ɉ�[���6�:�|�*t~e�/	�4D/t�Xv��\��E��[K�N��� P�Xl��"{��Ѽc	o�T��$;N�4SI��E6�k���K����8�br�y̝���M�4�p���E���z����
���۳�>?uc��n�u�C+Z��v!��
E��t3[�@��\�r��1.��!&�]��W/�'���@�>�
�~���,���.�3�Ӽr�
I^h�JNӔ�7K&�����o�#�}ߝ��\���1���\�g�.\��]��vl��B��5�
-����b���B5
����#��C�6E�A��^vצ
;S�Qix`
'M��-gAA㉄��[L�W��ݙ5��g"� �@�Ǎ
Sڰ����v���|o�ʫ�{[>�������
��!�xZ�7Ǹ��K�U��;�O*
-�g��ѥ��ȂnR��+�-v݌�kz�?��s-f '�x�?p7���߮1��ĺ4Z�X~B�E�
�>�����g_V#��2g���p���*g
��EM	lR�e�/��U��ȄI�wV�\��`��"�Ĕ��Ttjj��S�	p�y_����|;��;�.�|6C��l�uά�!�.������k
��ݓ �-rڷD���WPM���SP"	Iϱh_�u��[='�����W��7t<�ן�bHPi5��qdmj��Rg,�"�,",�w�{�T� �Z
zAz��~	]�� _t��YZ
i�K�"�S���l���C�G)w��
�Ú��~M�q��wY���Dԃo2�-̭ug���I�p$pϞY�0�m
ky���Y�����j���<9��iP��
�۱^
De�
�E�!�x���TjL8׆�(�C9]Y�I���
��o��!1�QX�wu<X�_e12�R����D��2��"�-o5���]*l����[\ �����[fm�#���h8�R{��bF��g [...]
-#�m��Y
�z��)8��3��inz��g���{a	�:���
9��N&o�0����T��x+�r��Q�\�35���&�Kc�5��
��
iI�����5��1�#�w{!,���S9_~�M�3-ox��[�ټÈUY��R��BM^~��h�O���}�
T<��n@�1*�*���uJ�Up����fV?g�U-����r���t��\���U�r�.�����'�"�

�œ
�P;��i�$�endstream
+/Length 13821     
+/Filter /FlateDecode
+>>
+stream
+x��UX�ͺ��w	N���݃[ph��=��w
��
��=�<s�5���ý�������Q��O=u�KI�Q�Q���(eo������WTWge�2���!SR����� {;	cg ����
 � �qXY�8� ?dJ����da�
���g7@�����-���5L�m j�� ��@�����N U��
+4cBfe��L�&@
�
2�?�d�������\
�{�v����+&- �����`4GfV���!Y�߈���r��Q2��g����5nl
������.�@0@��
���S����4����QYgc�����
��o	�$r�}9�Z��.��@;����s�J�,-/���J�_M���Gc������V�g����C�
r�@��2������L����
dg`�����
Ȑ�!N�+ dgt �!�����!�  {�0�#��Qv ����3���柑�� f;[��la�G�0������#q� �
��@;���������?2;D�qq�#@�M�mm��(gKK�W����؛����N6�N�
 �'l�G�0������n�9!�-���f����]���	�kr�k$��-�aHX'��_Y!-`���9!Q�@���f�?qA�� ��l
$����OC� �����!������!�6H���!NRb#�� ���!H��'�� ~
+��� �)�!�������A�T��O�A�U�Cw�?q��C��/�"���5���G^�����D����N� �)l�b�G���P�B�2�CK��+
�*�������
����/��[���BA!�R�����/����
!���g��6�v!$��_I��BR9���T��S�BR9���T.!$��_I��� ���BH*�����/����G+Y�8�K���d����Jg��ٿ;���bb��^�
 F6����
+9�,>�s��
��(+�1XXx�������!���ރ�����
y9 ��@S�y{S� ����b_ɼ�8:h1���ڮ�v���Xh��ayG�����T
�}�}R�gB��6o�1�sǘ��}W��T�fB�TE�=�_���
�7'�����#�	:���9i$�Vɠ��\�ӂ����Rm4B�k���T1�
��8B��0�ެM�Z�"6ѯ\ڷ�`?�!fǿB=��G��e.6NX	��2��}��xX��O ��-�d�4I��N���m�[j���9���R��5���dB7�0�@�0��u�P*����O��L��	�<P&���H��}�p��)�>P7?��{
��ob��@�z̆���&;@����
��5��+�n�t]o�>��{"�61�W�J��ΣX��XIo�O
r��w�ir�)w9)�H�u�Ҍrfܑ�Y��
Y���R�%��
"n�`�ɚ�#�	J����P� ͔�^�d�ԁ�U2-Dzd�[@
F~�ǜ�,�����@-�ۧ���s;p,	"����y�*?<Sx�`e��ulcp�:H�'M��<������ٚ_��|��!9�:<����ڮk�ίٽ�
n�Y���~�2��Kz���S%�Dz7�;V�k��$�����&�/�
NZz����s\1BN��kž2$x���$����֤ [...]
+ޢDvE��
6�;������ȸ0�#
+ŵo�A��1�~�0���
��@��X^��Mi����y��]�z����32F\J
�u��n���9��6�?&c�q9e��$�-������7T�8�bh���p�
�KE��̀����8�lZx�E
�<]��y��d鹍S��
:�G�
g�=�����I�+
�;�۵��
�� �ړ�ZN�
�0ŕ�U���7��w�|;Fhȥj�h
'
PyMPD*�
Ey�[2�c��.�~Ƈ@ݜ&6{<���͹�h����AA�=��x{�3��&;�
���}��ś>Rg��7{�w���JU���m��p\�Ba0Ň����}eswKm�h����3��4aRg�-��>�'K�L�:���4Գ�r�0bG��@o�*g_�܂A[F�)���{��^���}l
O��kM]����x
+���bESm�5�\l�{�y�b�_`ilUn�
+�`Ij��7���{��ˋ�E�Ǟ��3�볭q�6mDQ~�X 
u�
�/Q��7���7.����-��8���������9^

�
��lݢ/,W
5���V:����j>��J�)=�ն�E�XU�/|��*���+���*s�N,��j	��(R���*�E�z�T�p�J��\8�^�,�ޢuI�~�°Q{��R�v����\
M��]��Z7/D4��cxp�淨W
�����/X�ۭS]��
����I
R�jF�m�-��a�
+��I�fk��:W��>���	���sNo?�j�2_�ϭ�cz�l�N`8�{jۢo
^W���p� s2�O31�Z3`{Kg�Ptd��
�t�lB
�L �>Pp�U�@�x�TQ�o
ѻ�s����ލ��P
�cw��d�*�狀����W{������b�A�
W�ބ ��D��Z�73=U��T�D���+8��������dz
v�i�V������3�v�}1�j&b�
8��:�ߣ�M(�4��8�S8���+������'��
�U�OX���X��g,�[�G$�9�OBʥo'Zʉz^?��凞q!@�����e��%�1�n* 7�b��Z|�
�d�Yb�$o�O9^i�6~�iG2��Zt�M��4��rsuz0�m��\��k�P|��*�p��cE��x��8�v���^ioA��,�����;8������� c���`��q訁S��Xm�p��]�):B�y�%#!F4R��"�'����&;*iy����v��lf���&G~<-.�S��ЙLS�y%�U��1�
:O��pk<�Ao���f˒�Fx5t���ѯ�!�ε��ĺcY
���uYs�fޡ!DX�P��5K�x=�����D���i?���-�����P)�i��ce�߅ϼk��#����EPQ�p��Yߊ�
z�~3����w�9)#p!���hDxf�
�1Ra�S�Q	���i��E�Ç��W�a<����	��
y��8Dy�(���

�- ���o��v��J�♛�J�l6�Q���j�������U�ݜq��s˕�ᨤ
ܦuc9��S|*�a
+�芎�
�[4�iEq�Z�nM
+��3*R���IJ�	˗�9�#���'ɾ�<F�rD�E���/�ʮ
U�O"4�GE�Ǡ҃���9U?X��J�$�g~�a�D&
�x�Qj��3$MAv~��cb߶k�
:��i�A-�_XM�Õ
/L�zt�z=i����@w'��pS�Դ�ev}��x��Ϊo?Ob��/�gE'�b��
A~2����*�l��::�S_51:��z?�[�r�dr^B��d��463
v�#ځ$��;��R iO�Y���6��q�f҈}k��M��VO�����ӫOaq���o��۞NK�O��y��ُ����BU��Hפʉ����2�����?5*Mf��]aԹG҂��R/|w���m���a9�Y9\hm�<�~�Z3��㛝y
�p�(3

�w��=�oY���U��1u�t&�ԭ�ɍ�-I���
�N��l
tt��#�2ng�n� [��;_n���*� �w�M!������tB��
�ߗ�X�ۮ�Lvi����;N�&V�7�����>�Q̐$�OSVKn�)(w��e [...]
+�����Ԣ1k̖E�IW�Ei!�	�n,*�ʳ[�6^܄/XN7ji�("(sR��;xYMł

�jI�Y(^g�"2���$(Вv�7�;O��MaI�t��FD]�-�F,
��`� ���e�� X��>L��Hq��mwGz�z#���c�^��ߒi�CV�J
�u�pԂ��
l.�i��JՃ���qt-���&}�O-
�IBl�Bx�Btc�m����=͍��t��oɢj21:.�W��V��w��ٲ�yZϣ,i{
b�.�aH�uB���b�{S왛F cusVς���#��������鳲� }�D����I��vg�������V0$l|֦=�
��͸��Jf�aw�Xj��+a���"��Az<2��
���'�� /+ at I�,�:�#%X|b�(c�Q�J$����c�]�C�*��C��ͮt���Ua�/E^
jeo��10�ˏǢ�~�/^��\c�)�ہ�I(��W��P��G�=�
�.M�ԳA
P�D�R��
+&P�DPSo���X�u��Yҫa��H~�G��z���Z{�����-��@d���7V�hǂ���O�ze���$43Pr
Qu�hOm���s<"����?`B5����nx�;!��bh&�]�ľd7"�I>U���)<�@��~�j��	]���1�O7�a�DR^{7�̬nׄ����ea�`6�h�u u^��pa���޺�� yF�m,֏�������_[{�(��5��:��o��d��e���Ps�|�qt�!��I��E�%�'�����~���o:P�@oE2&u�u崳����ނ"��c)���B"��?�dqƌ�J��\�+�ެ�
��
�	�ɏ�6mY'x�����jG0�c�	𵚁1j�K��U�d���K�'䬙���^g<��:ԣ�h�K���;}/F������d�r�HwU�	��ty"���
#~����/���'�T�i+�����7Z���E�Z�rK
E"�XV��[�23���f%�Ú]<?�5��Κ��Yave
� [...]
1V�]>�o��T0�8a&Zu~bH�~Ŏ	�
"~�N.�	٢E�%�m��6
��hc�Di�W6	3 ���X�]r��]�c#I
q�����`�[������Ho��	�y�fx��6����'�˹�=���op���>ET�)�ytz�Ӊct?o�Fΐu(Tb�̙F��9R�WM����Ҍ$$�&O�rQ�҆YQ�V���>JQ�H,��Y‘թ�gI�r,�ϼ����ʧ�����O&_�+epW

�z��F�� ����1i��ү���Ԩ��r������"�
g1�q���SR�h���l���
k|h3��H�
+�eD�}-l�q�fj~�V����M���ح�'��d0�t7i�
+`���Ӗc�c8��wC�!z�Q�
*��~��	��� �ࡍ�qCϹ�ϭ��KՕʗ��K�� #�
y��i
�LV���jx������FCK�f����53�[��:�W���9}�ǎ_���°�O:�{�U�)��KO~SY��%�"Ë�N&�vMj�h�c�?PK��DX����.��)�
b���IN{�
�{�m��]���K�Z���g'�vb��-��e��מP�F�MV��%վ'���t���~��
` |����n�޵�ؕu��H�^����4M
i���R�e��Z��Ǖ�M��䫐r�1�� F��>���Z��/OV
���n�*B�JA�i�ڇ
{�s>����Wl�XV�_����Vu�p�W�E�Y�
+�44kKC����0��j���S�"1]�PJF�)�#Pw=y����tϲ���`�t`���(J�5�=��ńh�Z�4���a�Yg���q2�V��	���r�7v�Y��Q�
���{Dd��
e���Lx��i�M���4���Pm��&��e�ȿ���d�M�f�S֨����x?�\�5d�q�����h�p�"�x��(W��Db�M2���ؓyi�)�ؐ�t��O����,
���M�O���=��F�b�
Ƶ_�ֳ��3n�`hJ6�ݳ������g��%�hƒ�c���t�e���m�C�#sL⬣:�̴_���1ሱ�PM٣S�9�n��)dRzz3�\�.��>]��n�
y
:!e��(�����5.1`G����dX��]�m�0qpܚ�2�'���H4e�9
+��;c���'_,�
����/%WdJ'ˆ�u�*�f�]rD� �����LS
+2#�V���g�*�=m
���m
+��X��h����e��+މjI������*���tR�wv�E+��՟�&`+N��ޓ����ꑾh���j;母[�����B�쫹�Z/���,
?�tZU	>����	b�`'|�).:0F�^"
p�8��k����:,���5܊ ��f�ª�@������7�ݵ�ј��]�����VuD�$���>��o�������(v
��,m��2g�᠟�Y)�r%k��
^`\�
�����n�w�|=�ZZR�mY���y�U��S�\8<
���[�����=��o�_�3ݡ
��5�hĴC`�.��\b��R1�<����
�*��Kh�0�
�#��X��>�D���ߣ�M�
l����
����
+X�Gm��j�oK��1�׭ӯSҠ�OT�6���
:�Z}z���&y�ͭ-��^@�
�H�z.�k<�#���W;�
+o��4��h%��d^�$�є
+�N�O7�J��6��۸������k�+��ir����{f�Z3�#\�%bZ�*8 @��^5���M����
�4���RY�T� ^[�s�_{��QX.A�����-�.I$k[��6�5F�qc�8f��G��]jV������k�	��H��s��'�v_M��-
+*�z��b/���3�)����ig����/�f��2�D�pQ�{�+��*�J��ɀ�
�j��u`�����f�
+%Y屺���Yx���a�������ہ;|0C��9��	ڗ'�WJr%��t�u�¢�ō��/�������
���^�	�08�n�Q��K_�~LW�ؠ���|~
�p=���S�%D�g�9.�7��#�s�G7���{}rϸ
g���趱�7$���~����H�� Je�.$X�.#)
N$���[���"C�J���۬�
�m�৯�4�e�J����»8$򤿸��Ñ�$ϫ�'��>O���T5��Sη��
sP�G��1�V�u5��d�f��䒍�{(�������z���&�+4�Q��!
^�E:��rEqָ�

]>0��}/׷?�
� �7�V�hm�f@
E%iF���ϞB�Q�]�bz$/A�[ǏB�����"�}q)�r��"�zɲ܎��(��+e�_=7-sH��|{�-p��=:)q�dAB|�i�O��[��b.F�4�p����?�i��(.���#�$M.f��
7��W�LU%Z at 0x�NDy@��u~�lЗ��d���,�����Ł�5M� [...]
.��q	�؎]�1n�(�Pj�p�批���n
Y.�����
��+�([Dئ����3����>���HQ�l*V�,�%��S��`��mbD.����$��l�1�O��
+Q{
F�zhF9H�>��R��U����Y%öGq�,�B�>��
�Q9I����c��#�C[&�՝ق?�ڜ�Sa��W��0
	v��|�5��x''#�p�}�aٻ��B
����H��c$��w0������/�\+���-��_r�
^���ʉy
���$)v��r�t`}��p
�EP���K��I� �䤻�2�L��FY֚������Լ��͢�H���Ւ̂Sp�T��BO��'�+��=#~�KFF���ki���T[�'7�r��̵8�
�X���G�њ�A�J�Z��3�[0�=��|��3�T
+^U�kz������u������Za.쯼C6�Zw��J�8W#`�}���z���z�T3%Q"�L��t��+eV���@�A��Gx溑��
+��dd��)k����m�p���	a٦�p������B�F��\
k���l=s
Q#
+�T
��"���z����:��
�a“�g���$�ܫ
e��
+
��

�
�?��#7Ύ|؜!���+ƌ�����g�C
�I�o�(�#�
�a�M�1��(o
+�WyzV�t2oP�ѧ�����Fˊ蓳�N��n4������6��j��PJ�֨#*3���m�^�(r�~�]H�h��e�$oT�K���\!Q�T5GŰ�1��[&���|.L��3
�l�}G!~8�X�e�����
JA�j�(o
��K5r��n9���+f���m��U����������
��J at oΛ����s~e�RT�{6P��fYK�s��8�DN�鯄$.V�(�)y��{J�nQ]w:�|������>�`�G{>0�^��xw���[�ĐQ�Hu���w�-�������o"-K��>�ܺ�0�I�'�EV����J;����~ת4� m|��G���J��H�7Y�b�ٍh�t��NZ:=��}�ܟM�����^ܝ���ng�������Fj�����K�$%���1��^��̲O!6���F�G�s˥0y���H��q���������Q�vWJo�s&�u
�wDSsCi̯	Є{|��ޘZ���L��(:�����'��U7�Z!{�D�
�ӂ9 �OT}}� [...]
+
�����A/�Ng�@����/���.�A3�~����=�����'�OvҸ
;����Ǝ�Q�q�'ⳋ~��X �[5��dP�s�?���+�S`"l����!]�>ͥC����v��� n�{ޒ$YK2�r$������K-2����X�V��$x/�d�$]6��=�w��`�CsQ"o��t��f�7�n
�]�b�T������VI���.��e��=ޝ�v���I��B�}���jTc�y��v��奥��Lе����|�
4.�u4
��{�	�D
+���k����0?/D

+>r$��+�9�L���w�xu��x�ܖ5�38����*Íutr"��L�ǥȩ���8P��˓!>g�����/}�[W�^�3�z��k���E[��VS��YX��P�ox+\Me'ϕ��K9i�ZK��S|w�g�̞a�G���
�m��U
y���'�ݮ�!�/Օ©��1v1R-W�#�
.��$�@*����7��V6U,��ve�QG>XvkC�[�p�6OZ
z��]d�dT�)V�)�ej���
++\�Q.���֘G����(Q�[����K�y������^^��||d+ib���c�t�.��ގ������M��d{Ր
�9�	�īf#���@���gO���bX���
����&/�3���F�OJ[:�i-Y�?H��}�HT�n8����J�D�Z�
p����LTp�W�>���a/7t�����2Ua
p���9E��|��e|
r'�a�!g�l�)������|����4N�"*�0tq��a.�k��y:��[�^����&݂@�k��m�/���f����a�58�x��s����	w�*R����,Y�	4ܢ*Z�p��7e�W^-ALV��3��L�[̭R32ɣ)�4�2��"�#�h�qy�j4��+�m��r$bo
�
O$�֙�8����=~Ð�d������b�A{���\]X��`e.���$�05�����:�nP�K;��'�z�X�1��Ӵ��:k���Է֒�xht�:�7�]�Ƚꀏ
�����{R�/T� =������߄0p%���
+;��;o���pI]�9�!��K�iD�;dG��
�
MƁ|�I����Ȇ��~����

+�"D1���maR�������h���-�‚�e�C|��n��t��%a�/�
k��V�m�fKTr��Ik/�U��,a��j9U�DV���o蠶�8̚Iޅ!p��6���F�ny���}�W��6]�
+�#K�
���N��-S
��p��Y1z/�͏h^��y����S�`\Q����j��
+秡����Ix�H�����h�N�{y~;ѭ >�
�+�
hbFwuk�T�G?��v������
������FM}�U�6NCna���g�Mp ��PF�9Scg���Z��
p�-�f�j�{Z�6��t�����N[9D��
��4���i�t�l�����o��}Q���x�a�� .�&&v�(u��&�fU��4?��Š5ω[��8+K�}���2A J#ELw
K~������t-e$��K�Iz�`Q�i���͈4u��_��Z·6��[TV/l�~DOfٖ��f1�S������f����l�5
+�Yl�Ԧ�!�;������
[3T�H�V�o��Z@�3��(L+P���R���W��b�
��[ 

Ō���� ����f���?I�\"h&O{Yda
�o���;,A(xh���3R5���j
+�  =����
8b��	'?�Y�g�S
++���%��w#��`�2��������	3z=���Ek>�n�����"��gk��oE*'�U��sc����zU�=��\��c�%ЮυǬ�D��6QB���aۺG$L�^�!��|����5b���Z�&
W�D
��m��d�<���q�ެv����8�@�j;7�����/�A{��0�
�6B!V��!ˋ�C��ɮ��pL
J�
�4�Qi��`���N�qRq~w�ubV^Xd�Z`�����L�)�/�+�28eEH7��;���P�q�F��:r}�
���s^�o��7�#��?a�j���M�I�&��v�y֥��o�N ^j�J���l�f�cx��4�袬�
%&�|��_$a�Z$L��X&w��a�X&�Dr�r���	欷��M
+g��ܽ��܊{��X:4��]gdzw���#�U�}�y�G4J�N�d>9��ʖp4�΅�ϛ/:o�s2ʥN�a5e��f�=W7~r���b��)|L�sM����
=��#0���7�Q0{P���MI�|�� �I<
إ$i*$���; X�j��
��_g�wm��ۆF�����
Z�<�
+G�����'�����s,�-6���i�A_J�]�J^B}�`��f�Zɫⴧ�h��=J�[���V��*�����$4j
P(o���tɇ�z��LzE�U�;
�$Ƞ �m\h�不(�gE.��g��]U1���R
.
_>�}姫?���g7vf����
��
�Q���>S��&�E깺�
�N5~!���8W5l��c D����]�
,��n�1~�L�A�9�~����
+$:��H<)�R�fS�K"UcoʉyJVL�m<և	�J�~V���
��֟|��V0C&=
��Y\b���^���\^v��Y�v�<���u㑫\�`�J��.�FV�~��!�����$��XQO
BKA�щ�݉S!�2����I7�6o#7^!D��#H[s���Ld�J����%ͺ��J$��y�P�h����؝��	a~ �
4]`(#1,')Un����r�������z]���}�E���u���8?��h�W�,�4xXa���*��2Rs	x�<������
*��~*'iQZ��O�6O�9v#
c+>�H_���Z�c.#�+�Z'c�e�ȏD,�Ҕ�jٵ�\��MD��)�X�H�
��V�ܱ#������#�C
��A�gi&�OVR4)�.9�X9k��Ε�ޥ���@MǴ��ETW�~��%BT�Y��`�M
~1(=)#R�����pFI�
��<se6瓏�ˏ�j��8�@�"%"�`f8��<�AocrY��=>����Ej�/�&Oۯ
�U�N���+
+������#w��
+0y	��
k�
x����0��.�7z�UK�Tx�6n�L�e����*�ѝD^)I����-۟Z�� 8G6�[m���0��K~T���e��j��1��[I�d��R����]ӝmrյ��p4�����&YM<4(l|��M0=|Q����Cx;��,3,�X+J^
΍޵���rly�+[G��M�h�os��S�;���2Dc�ϖSB4�r�^�����M�T*~Ru2��
F�,
+Gr?�e���G��P�^�5�Mӡ)�8]:CŜTQ1	�l��H&}�|�_�'�WG=��}t͈��>e�c2��<R��v
���ܶO
K|�_Ӟ7J�rqs"~�X�qD*rS����K$�m�C�D�%�I���JN��5���hy��>��ih���М�X
'�,�nZ!�1�
>Y��%���Δ0�'ʵ��8�ZT�����%��2>�5qEM>��$Yȼ�pl>2�Ɋ�C;���ax�D,�{d����74���&ņ�����iT{5���%�;�h��m�/厬ɉ��4�ps��^�!M�e�2�U�߬$�h6�����mZ^�(��-�>wrP�݀W���˿�c�AB����
��1�E��+�������vo�>�Q{@#.�k�%�-~��	�>!������Z�격��t�yv��ǵ7�����Y�
І���Mzɛ��/Z#CpQ���e��R��.p��F�+
�i�V�Q�d������� �:��g����Fz�#��y*�R���-�B\��(��<����ɥG�T�o\���� �(|q���G}s�
����~�%q����N�s��r�@	�,T�ݳ"ܤ�NPpKHtEikY�"貢���&BB�<�O%���+<L
+o�d�}�3†�����v�Wmz��)�"cq�g'���P����ߗ������Q$��$���v�nw�z���Ҟ�!��"��6{"��z��+a$zJ�6W&�|
�A��0jJ�ݢt
�O<!�I�����X��h�H�
��N0�тb�G4�1���/�s[\?Rx%��U�u�1o^r
��`e��V�|nF�.�q@�7�i
6�~LWγ[U�	���l6���H��Ov�?��:�q{NF��OT
@O����e�iA�BV�OUH�
s�����ʄ��b�����m���ս�#��t�

��@�-%I�|�'K]��F�lfs~� ^�g`&�s
���7��oTW:�4x�}|�]c� +&����Վ2P�H���Ov���L�TBc�"��
+����Λڷo�_�gP_~
9Qͫ8`�̘������,�w�e��A������6 at c����1��� I	��endstream
 endobj
-557 0 obj <<
+553 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3523 0 R
-/FirstChar 40
+/Encoding 3765 0 R
+/FirstChar 34
 /LastChar 126
-/Widths 3526 0 R
-/BaseFont /TYJHFO+CMTT10
-/FontDescriptor 555 0 R
+/Widths 3803 0 R
+/BaseFont /GKEWUR+CMTT10
+/FontDescriptor 551 0 R
 >> endobj
-555 0 obj <<
+551 0 obj <<
 /Ascent 611
 /CapHeight 611
 /Descent -222
-/FontName /TYJHFO+CMTT10
+/FontName /GKEWUR+CMTT10
 /ItalicAngle 0
 /StemV 69
 /XHeight 431
 /FontBBox [-4 -235 731 800]
 /Flags 4
-/CharSet (/parenleft/parenright/hyphen/period/slash/one/two/four/colon/equal/at/C/E/F/G/H/I/K/L/N/O/P/R/U/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/r/s/t/u/v/w/x/y/z/asciitilde)
-/FontFile 556 0 R
+/CharSet (/quotedbl/numbersign/dollar/parenleft/parenright/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/less/equal/at/A/B/C/E/F/G/H/I/K/L/M/N/O/P/R/S/T/U/V/Y/bracketleft/bracketright/asciicircum/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft/braceright/asciitilde)
+/FontFile 552 0 R
 >> endobj
-3526 0 obj
-[525 525 0 0 0 525 525 525 0 525 525 0 525 0 0 0 0 0 525 0 0 525 0 0 525 0 0 525 0 525 525 525 525 525 0 525 525 0 525 525 525 0 525 0 0 525 0 0 0 0 0 0 0 0 0 0 0 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 0 525 525 525 525 525 525 525 525 525 0 0 0 525 ]
+3803 0 obj
+[525 525 525 0 0 0 525 525 0 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 0 525 525 0 0 525 525 525 525 0 525 525 525 525 525 0 525 525 525 525 525 525 0 525 525 525 525 525 0 0 525 0 525 0 525 525 0 0 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 0 525 525 ]
 endobj
-553 0 obj <<
+549 0 obj <<
 /Length1 1042
 /Length2 3456
 /Length3 532
-/Length 4163      
+/Length 4164      
 /Filter /FlateDecode
 >>
 stream
-x��Si<�}�N��%B�k*ƌm�ɒ��{!���1c�1cO�d+BvY�}ϒ=�w��B��o��N��u�=����{��2�q
��<��^'!F�j(��E��$�P�"��o"��0��'5� ��!�5�$P�+(�5� �r��
-�2�Ap�!b��I��Ʃ�"��
-1�H<��$9��G$0%8b@�P�� ��'< �$z�((=
�0�$�t���%���ţ	 �'�"��]��
�P�%�)�E��| ���4 Pz��$���4�"�pH�����[�����Npu#�@"�O@�D��RK�g4}�!��Y�%!qG5�`?)���DaH�� �� � 
�g��~D�TS7���~��m�(!1x����/����SfC�x�0(
�)���l�hu
�H at a�u���D"҇��$
��

z�7%�$O Q� ��\�"��˔��nH"�ǁh���O�/������)4���$}A"�7� H��/,K�'y���R�I�D�
-)@M �&h��?�&�
e��f�(.�;��7�Yʨ!�B��,�$���(�P�����@J�߶p8E���_��:��OBZ����&
��Y���-4�c�ɠ�&e0B��
;���ْ~|Q����1�UAoБ~|��t�%�:$?�|�@�i*u��h�ʖ�F�౻T��g�O�TX�&�1��}+�����o�\k9�=:qx�����d�:
��d}�7n����뫇6>�R���ɏ��ӑ���c����ٻ�S��֞U�)7�VZ�8�[7+D�!&,����2���X�bh���\n
�=3�Jh ��dɈݷ����5G개-�ox�y�猌��9##�}'����Nq���t�Ht"~H%5)w�V(f��kn��� h���͞L/�y�z>bp��5��p� &/�_�Y��}䐑~z��a��7�g�
�s�����yKmq�ޚi�Y��	J=j��Q�6��n��
�
�z�]H�o�m��U��/[�����JNi8�)��fN����-�������¯,
��f^ b��;�]����T_�)�p�v�C at +ogzM��9���Ӻ����_XuEA,�%�
�
�
�I+;�֦�4�ݒZ�6�:|[4�4
��T�X;�9E:�vf����'=�?��.�/�ڲAc=�����c��Ո���@v���R�q�
I~YuI]�ՀV�.�|tf1��N��r@��
�W��`|�qgL��-˷�r��M&�VG<:rθ�����Ю*�<��~+������~V���=L�6Jb�f����{9�W��A
�"�Y�e-
Ѽ�}i���a7z�
��'�j
-���hT3��lX�6m�TӾ|£H.Q�ȓ�52V΃�K<�խ����#pW��L�oV]u�*@���i�|h�WK�y����1[�7���y9���R������xx����Y��0�� Sy
�ƈ���4��4n�� ��J���*7W.S�x����m��8ښ�)����c�g�aik�D��R.#
<ȋI�,�:���#��-e!��}�6|�:��z�	d���,_
^6`�;���ҝ)�b
�GQ�+%�
�N
H��b˼�*lS̜0��ۜ��3^y9i��Poj�I�?��bki����H�%�U�;GTi),Ԇ��bþk�d�8!��=t��]0����u��uh3��
V��=����4���X���tB����&��818m�q{e�[���YOgǤ�����O3W`�3��� #�0�4{�����������+V�^K���冭��E��`�R<.s���T�܈I��RC��͊��x�清��`��wn�r��Ӭ� [...]
��/N4��:�6���}�n�&�	`�ش��2T�H�7z��Q��7ټ�$��r��L�K�1Z�{��sJ���3�|3�:�wt�ˆ�t�]te�^�W�Fm�=1Z6�	�ju׋
Sj(�#��
-�o���|Ն�mz�p*L+��l�RZ��iktB�CT�!�E�R5����R�Ӝʰ�k��Ŭ��E�Ο�y��+��Pd�Pַ��
/��A
-�
�
�Ýϴ��|"v��J3�$U��p�]˫*bpwC�FH�^��y�Y��{�	�c�������VQ��u�c%�1�%Z�_�B���y)���#%��c��}3~�����B�H.����Z��f��{3����#��/|JA�KI�q�K%-3/kM��
oms~0��.���w��d�9��k�Ŵ�!c_���S@��&]�DLsj}'�M�
��F�UM�����UNӑ�Pp6
���{��^��rL�������v��>�m��������Л�*n���0uB�-���=���~3cYi��m{�̾s�.��:6n�j�T�a��O^=Ma(W3\�|�&a��L��oO�
j�	|Eq
�(U�$�ȷ��Vꯖ�Mv������3��щ.Mp9)�3�M��	��G��X�l����x�f�ys��c��Mn�wv���U_��8�S�k`�
���LnSE���sT����
bGYD�S;C�&
q9\�io�ø64��hZ��;s^��a�{��%��iy [...]
-�Q�)��
�K� #
��
-�
�����T�7�T�UUr�{�|R�H#Rs�B�d#:���%
�]��v��i��lNe�I��|�>+���Y��
��u�
���G�ޛV��vs�e
��DC�����Y�?6�WP��A��ͺV)�
��C��F3��[7�ބUg���%��6
������&2
��}T9�B��K� �Wt�ȰY�m��=Ջ�鋌���.VQ���%�3%ݙTM����� ����ߞw���e�"�躩�����W�C
޴�z��y����FRKQ]q���'�!%e����O��~.4:�
-�i����� 8k�3���yn��͒y���{ڳ,���p����Y��ާ��ߍ������tla�Y�վ�v�N�k�'.
<�(#��"��h��3Zl�g?���=R7�9�Ϋ<�(:�����^4�7C�J�!ND 
��3���|6/�7�ی�޸_�mz}�����
t�f��@���ޏ?�Z\�K����
�M��DZ���X���u���B������]f��h}V��ܦ��������[�\lI��x�cy[�կ�D[8�3����VV�;%&����}m'��#+N
����w��I]fo�?�[�x��%�f�-ؑ�87~����	��et�Z�a������O��,˟?=4c�=@��� #-id~

-Fh
�
-?Q�ܝy��o��;<�P���������9oAV���
;�����������粅"�{�Y'n�'�Z̿�O��0U*
�r9�}x0��,����NӮ�D"zrQ�EV2y�
�6�
�.0]
�6{(�7'����=u��v.�+��*5Hf`�O)e�tB���l
G��Lg�BHw�#���bQ�旱�&�I03=�-?i�gޭ��nЍr�һ6����u�z[ڊw
c7�
-[��7n*�y�o��B)���i�dz�Y�
C�dN
L�ţݫd�����%�>飹�$w٣}t��
�g�A�U�7ʟխJȸD��qF:CJ'%�uG��X��<�
��X=����|�6I�O(��+��#��|<�i��NH_
6\�!3_	*)V�;�+�'���w�M!��Ӡ[)ϗ���f@��׶�y|���N�u�	��)��F�ǻԺ4V�+�5L�z�n`5=b��]~���R6U.*y��%�܍��v|��
�}9(�\�F���#j%�;k���b�.U�_
-�
U�-���]�
l�H�y
2!��PB~Iⱱ�ޕx���n�CA�0[�Gr�VP�>OB��qײ;ýZ6���O���\!_|�E��a���W���U�WD�
Ñ1-r�����؜����5��0pāH"��$b��H at h#endstream
+x��Si<�}�N��%B�k*ƌm�ɒ��{!���1c�1cO�d+BvY�}ϒ=�w��B�ʖ��ީ������~z~�\_�8����u���$��TB
Ep �x�

+W4�M�8F�D�0�&�*p8�Fv�` \NQZAQ�"4n>D��3	�8�]� �\A"���$g����G
H�j8
`���`z�DO���Ƒ8�N<���<�x4@��Qd��K� у
+��<P"�x����J/����#ԟ�Zd
� ��ݞ2��"]18��	�ndH�	(���Sj	����0d�?��$$㨆w �'����x�(#
��@#q
�
ģ�
Aۏ�Zz�V�g~�插�'����2�����1e6D�7`
��`p��������V��OYY9 I$"}�){AA��
��Q�7 zS�JB��@�U M ��L �$�x
�&}/�d��b^�/Z�B��
�	y@�$~
+�$�²{���,Ř�L���$�2�7Ai��x�CAi�H�QV�oF����){�$�~!�B��,�$���(�P�����@J�߶p8E���_��:��OBZ����&
��Y���-4�c�ɠ�&e0B��
;���ْ~|Q����1�UAoБ~r���TVp>w���4��S]�Au�p3C��m*\����窬v�S٘^Ӿ����l�7~���
�<�����u�o��z���+7���̍�#d�
���&\���X}�>�HL����ȁvkϚ��P9��V*����*i�	K�{a�̍Y/��8���� �G��L��Ȭ;�G���m6�=;g͑>*g�
w
s�9#��u��D��Jkx��S�.�:$]+��QI�Gʝ��}�ۿ&# <3r�/�K|Q���R�d
��_:�)��WtV�� 9ll��5zԲ��x��€�É\�^pEy�P��Doʹ�*�?��
�H��e�f��ɅC�j��J�.�����y��^኉�-���td5�4�Ŕ�F3���姖����
�F	�W���J3/q��-n�
Ƨ��R��pǔh��{"!���3�&z�圊pc�i�z����gV�#1�!Ko�X8GCn�����Y*
%F�������C�>c��Tt�V�J
&��
\�s?����<L<��.�/���ac=�⣮�wkՈ��@n���v�D���겺����'0Z������;�r+ )�v�oQ�c���gĝ	U��,�>������Z
���;�s���
C���o����fp�����S؛/gY��Z�1Q�L)
������2��v�5���_�f7��(�hV�-��
���t˄i�����Y�5,M��YR�9Ѭf�	�ٰ�
��h��}���\�.0.�Ge�d����x��[3)[ �G�G�
�-˛�ܬ6��&U��/f]��{�<��Ns"^uyc>�h`2���r�W]��?q}����LyIӓ��n����<��QE#���¥aB��"��5n�|�\��ےOq�uW�fG�'O�#���,�B��\�x�S�Y�u ���oa���
�O������fZ�Q!�랉�|ntxŀ��ò[o�Ԫub=D���p'�79 ���-��M1s¬J~k
+Dk�x�����}��&-�(
���ݺ�N#���v��<Q��p�;�
��aA��㔸b��ew����V�>럠��jgD#���FÏ�8�&Wzb]o�O�	}
;�lzbx֬���B���ѳ�"Ύ)'NQ�
�/�e���g�U�A��a�������e�k�
ُ/T����J�ˏ�4�m��K��3�S�rc&�_�
iV6���[�*�C�S޸�+���Bz
{_t�J���&��;�0�.��d��n3��F	gy';�-��d�x��.T����8T�����:x
{�
��͍�!�C�W�#뾥t��9�Eѧ�9�LI�5
��8ռ �r�\�R��9����'��Mb�޶�R!�"�_�sDŽ�[�<d��ض���3�.��h-�Ȏ.(}2h�����G�)��Fl�+��B�j-f��ъ�H\� U��^�RS����U�%}�e��6\�h�=�SZ9�he
�����l�x��]���/ʔ���$rJU�r*Â�ݽ�&�U�x���s���C��B�����z��
)�6z�v�w>�n̿q��P�!N�
��T���-���m��
U�!�z����o��$��5�#_������Ey������)�}�(�
+(���
�
$.J�?�
+�����
�
�{h���xFs1\EM�sηJ
ܛ+��(��և0x�ӊ��KZN�X�i�yY�F�x�[
Ch���T�95�$
,�O^�-�E���}��"���%cZ���mŸ�|j�RՔ��qXE
�^�4
KW �aQ
��'i�ĵy+��I=jǿ�#�!�����(��z3Z��"d��Nh�!�y��6��on"'��m�=pN��e^P��](��I�>���4���4�J5��O�i��.Ȕ����à>���W��A�RpO��|�m��bE�d�;~�o�.�������ra$�٤��`���~Tܾ���iy��hu^4�{>a����~w�	8]󕩄�8m�F��z��6S�;^�@��+� v�Et6�;,a���eМ�J`1�k�@K�^��5ں;�%8
����]���aP�3�3fj��LS�Ɔ�|,�I\
b|3F,
Hm?N��fB���<tK�pd�|͋�����N����o����®
�)>�,�էȫ�ׯ�"W���K [...]
%��R婴�8>��ִڕ���5ㄏ'Bzu��X�κ�౱��
+v"}~ε�H���"�<�����'��MXm���_b�j����i�#���G�,ܼ�	�nxE��
�e��=�3�(���Dl�
�b
U��\�<Sʭi�t�
m�
+�yg��9��^*M-����������\)��� 7�Z��I��?��))����`ڵ�s�A5Mk_?��h�y+�9O�քΫH�<tx��۵��3��ؗ=�#����o�>�x;2&~�6۱�gQ�V�:ݨ��t𨣌�r�|��n���
Oh�yl���/�I]�Z_:�ZtOt���f��[���,�+)�8A,L�����<�����a
�����@|��ӌ��(\�C��Mi
��~�A��^Z���M�o��&Ң22�R�u����>�����N�2;��2x�볊t�de�7�i&xH�z$�b[ڌ�
˛j�~�$��!���߷�b�(1q�V��v�=�Z��я��#���c�������e�A[�j�܂]�P��
��w�M��L�,c3��
˶��?~�+dY���9��!�����Y)c��P0J[x^��R���d�
f~[E��y|�Zv��&����y
�rUf�Qw�	
���Ey>m<��+=\؟�:ژ�o��6,1SJ�T�p [...]
+���L��7�B�Wƻ5j��v+�&R�p���QI���)�����TU�����/c+M
S`fz�["~�LO��'?�A7*��Ho:D��6D�mi+�r�߬(nG��^W����$A��Ұ���䥇��y�
#dN
�$��kd�����e�>����$w٣t��
�'��@�U�6˟խIʺD��uF:KJ'-�eW��\��4�
��\;����h�"�'���k��I=
֎4
Sd'd�������*{��ו�VghK�Ħ���mЫT����[3�\�k���q�A'ӆݤ��iU�F��{�z4֎+G4��z�n`5?z�?������l�\R�&{K*V�߻
����
�
�}98�\�F���#je�;��[��b�.U�
�
W�)���]�
j�J�{
6!�e
PB~�ⱱ�ݕx=��v�CQ�0[�Gj�Vp�#>OB��qϊ;Ýz6������\!���G�7`������UWE�
#�qmrw�G��؜����5��0pāH"��$b����h [...]
 endobj
-554 0 obj <<
+550 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 40
 /LastChar 110
-/Widths 3527 0 R
-/BaseFont /ABTWYB+CMR8
-/FontDescriptor 552 0 R
+/Widths 3804 0 R
+/BaseFont /NFLDXB+CMR8
+/FontDescriptor 548 0 R
 >> endobj
-552 0 obj <<
+548 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /ABTWYB+CMR8
+/FontName /NFLDXB+CMR8
 /ItalicAngle 0
 /StemV 76
 /XHeight 431
 /FontBBox [-36 -250 1070 750]
 /Flags 4
 /CharSet (/parenleft/parenright/plus/zero/one/two/three/four/five/colon/equal/A/I/a/d/i/l/n)
-/FontFile 553 0 R
+/FontFile 549 0 R
 >> endobj
-3527 0 obj
+3804 0 obj
 [413 413 0 826 0 0 0 0 531 531 531 531 531 531 0 0 0 0 295 0 0 826 0 0 0 796 0 0 0 0 0 0 0 383 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 531 0 0 590 0 0 0 0 295 0 0 295 0 590 ]
 endobj
-550 0 obj <<
+546 0 obj <<
 /Length1 1812
 /Length2 13114
 /Length3 532
@@ -23724,8 +54807,7 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��eT���-�����]�CpwZ�
���ww�Kq���v���<�}���}?�q�����k]ל�Zw2"E:!;#����3
=7 at DN���D��(�@F&�4t���5tr�����@#�Ћ������
 bg��haf�
���'� dt�06��:�m at kZT�-��
� !kk��?3� �@'��+Є
��	`ba�
0�Y�"0�cI�����ﰉ��
�
�@� ���I �4���� � M��@j@���?l����]���
m�Y��F�Æ6�
�;��������3:���T
࿽�M,\l�稔��������5�����;�D����
`jh��W
hk�?M�:�/

��br
-4����S4��uV���Ϫ�$����0�;��/���2�A�����?��l��L,l� �l� CGGC������� ��
3���9�� @=���9"�sAAל��_�#3-� 
����� {CG��5���O��G�}��f0�������=�́�B젹�-ag�'�	`�
+x��eT���-�����]�CpwZ�
���ww�Kq���v���<�}���}?�q�����k]ל�Zw2"E:!;#����3
=7 at DN���D��(�@F&�4t���5tr�����@#�Ћ������
 bg��haf�
���'� dt�06��:�m at kZT�-��
� !kk��?3� �@'��+Є
��	`ba�
0�Y�"0�cI�����ﰉ��
�
�@� ���I �4���� � M��@j@���?l����]���
m�Y��F�Æ6�
�;��������3:���T
࿽�M,\l�稔��������5�����;�D����
`jh��W
hk�?M�:�/

�rj�bb4����S4��uV���Ϫ�$����0�;��/���2�A�����?��l��L,l� �l� CGGC������� ��
3���9�� @=���9"�sAAל��_�#3-� 
����� {CG��5���O��G�}��f0�������=�́�B젹�-ag�'�	`�
 t���0����l �n��@�����2������O�:,\�� �su�?
��t����
��V����o#��Thm��$������Qv���
��s�'R�C��E�ha���^�?�V��*��C !�?�Q���d��:�?R��C u��'H]��ԕ�H]���U�H]�����HO�������i�!P�
�rf�@��lUF�D������%�B�W��d��/���0��e��<Y�� S�!ȕ�
{ۿ���/���
��(!ȕ�_��
�
A���B�+�����/�r�딃\��� W
!Hhcb������6aa;�ot̠�zc���\ .v.����fk��R�������򯨱�#�N���/Ѝ���t�݁�K��y-��K���ʠ���͚b��g;��[��8P��j>��a��C����;��{*����9Ħ̿��}m�׼J��س'�8Fmk��9aW�Y�Y��U0�y1x��H)�z �J��ŵ�'=��CS<�Z-$����H-š4�5d�
-!jm2��2��f�Ү���S>\N���=V
�q;!��65���IIAj�{�p�`:�L���
�<*��\��OL�gB,T�����]�蕌]w�hW��F߼@z���".߮"����� �+�]&އt���5�97J]�J��ŒG{ -}
 �+�M���7��@��7�4]!�"'�
�'Ka�o#D��A^��,��Y�~e
G�h��-�h��M
m��Het��9U�.�k�vP���ŕ*�By�~�~	�l��RX�Y��H�
Ղ
���`JP��Pp`\]����H+���~���V�p�5�l�����?K;��<3A�z���\#�
�q��:Q`ϴ=�G�y
f��:�X�_d�q�����Vf<�!�X6-�,���q��&Q� H9�o�2GGM�H����R���Ŝ�������p�L]�C������мr���z�q���54�$=����h�:$)�Z	����� 	�Dy����Z+.��َuv�9n
z��s�����ʠb�N^�`��<�`c���mu*B�dO�ת���;\����r�ZA�A��>���4�~�HV�DT�˦
,u��و-I��ă�?���d�+ͧ�Jk��=��ɝ4C���*�.wR��Z�wl��fY�>
 bvn2�o׋�<
�o�N��u�XE�C���|����{ �tKYQ��E���`�J��
(֙A�����X�]W������`L�0ne6M�d�J�1���B.�]�
�U�P
DE
@@ -23779,152 +54861,131 @@ Y
 �SV_ �O�f
�*z�a��‚
Mgd���za�N#� ž�
 �F^���ӵ�Ү�?�i�$�D��O^r��#Pd��
�33�Z�Uxgj�^5	9BO:Xk�eB�{f���$��R5�c���G�����>vt��9�@Eխ��j
�x=�6�^��J}�_�B��E{U']��.���,�����[L/ZE����G����ܔ��Wz���`l���#�A���V�[�lA
��C�#��u�}2CA����/�1*32�h���k��
 �m�+���f���~B���Ǒ�(
-~-�ކq�m�{c,2P����ò,�G��y��5�  
�͡��kuXL
csuu��l-�-��*Z*�=�[������/
}kyF�
,}��+�Z!FJ�yܚ @V|�
~���LTG���!���z$�]-i
�������pu{(���c)�I&�$�R�y�*J=��Ckci
�E*�� e������������O�d#?���%�}��a�.��4f�B��D�������8I��lR��&��9Gj���+o�����w(�����j�^D�''����
����$�;6�[�³�6����v<�߸��G at v�R
V@!1Г��#�Ч�/ܛ�&�ʆ@[�'���1����Qd���<I.2lh
h��J����۴���y�]P���d�YIX$RcGO02�T����n�.��a��^�܎�8~�3�3�| ����X��h��lgc�h�� )��endstream
+~-�ކq�m�{c,2P����ò,�G��y��5�  
�͡��kuXL
csuu��l-�-��*Z*�=�[������/
}kyF�
,}��+�Z!FJ�yܚ @V|�
~���LTG���!���z$�]-i
�������pu{(���c)�I&�$�R�y�*J=��Ckci
�E*�� e������������O�d#?���%�}��a�.��4f�B��D�������8I��lR��&��9Gj���+o�����w(�����j�^D�''����
����$�;6�[�³�6����v<�߸��G at v�R
V@!1Г��#�Ч�/ܛ�&�ʆ@[�'���1����Qd���<I.2lh
h��J����۴���y�]P���d�YIX$RcGO02�T����n�.��a��^�܎�8~�3�3�| ����X��h��lgc�h�� �k�endstream
 endobj
-551 0 obj <<
+547 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 11
 /LastChar 124
-/Widths 3528 0 R
-/BaseFont /TXEGMO+CMR10
-/FontDescriptor 549 0 R
+/Widths 3805 0 R
+/BaseFont /DMUVEE+CMR10
+/FontDescriptor 545 0 R
 >> endobj
-549 0 obj <<
+545 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /TXEGMO+CMR10
+/FontName /DMUVEE+CMR10
 /ItalicAngle 0
 /StemV 69
 /XHeight 431
 /FontBBox [-251 -250 1009 969]
 /Flags 4
 /CharSet (/ff/fi/fl/parenleft/parenright/comma/hyphen/period/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/question/A/C/D/F/G/H/I/J/K/L/M/N/P/Q/R/S/T/U/W/Y/Z/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/emdash)
-/FontFile 550 0 R
+/FontFile 546 0 R
 >> endobj
-3528 0 obj
+3805 0 obj
 [583 556 556 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 389 389 0 0 278 333 278 0 500 500 500 500 500 500 500 500 500 500 278 278 0 0 0 472 0 750 0 722 764 0 653 785 750 361 514 778 625 917 750 0 681 778 736 556 722 750 0 1028 0 750 611 0 0 0 0 0 0 500 556 444 556 444 306 500 556 278 306 528 278 833 556 500 556 528 392 394 389 556 528 722 528 528 0 0 1000 ]
 endobj
-547 0 obj <<
-/Length1 2389
-/Length2 16546
+543 0 obj <<
+/Length1 2429
+/Length2 16994
 /Length3 532
-/Length 17876     
-/Filter /FlateDecode
->>
-stream
-xڬ�c|]�ָ
�F��ض��Ic۶m�vc;Mc;�m5v��>����������k̹ƺ֜c��79��2���������
=33@TN�����GN.�dj�bio'f�b�`��f��X� �
<�\<L�p� Q{O'Ks
 �(�?�8¶�N�Ɔv 9C
S[`cC�������'@������ %SgS'7S8ff����
�������!);3{ ���M\
�o����(�JR��&�v6� S38Fy{�L�&�H�wr	WyC����H�ϰ������N��upu1u�ٛ�:���Tu��q�35�t���Q)CKca;sS ���,�%,=LM-]�- f�6Φ���ڙ��p�����!/.%�B�?���1ECK;O�g�g��W���������
����7����������
� �9 �NN��p�� ;��`igb�0� 
-32�ٻ / ��`f���v2?����W���ba��'�
-`�5�52��0*ZX������5�hf��	���3���l�L�3��mkh����x�l
m���W9�ڻ����O��{�
�h�jk�Ou������`�dlj��T�c��Ά�
�w��S�g^6�:9:��٘��e���M;ظ:�	 }���^e6�������G6�9Z���aj;�:[�� ��L������v��fv�����qv������_3��{W�?�����@]g`�����Φn�K���?��
�jg���?�l��F�s�����?�
@ASGW�?5�����:�����N�n�T�C@
�?T�C@�?t�7qK�M>�!�2I�!����H�!������!������!��ŸCtQ�C@�/��.���.�����.���.�N4�E�]��
��M]����Y����
`���y0��9�NƮ�f6�ꋛ��g���
�5�C@]�?M�	�k��SR�?����B���_\���P��/:Y��@��z����>���
�V�!���/����B���_��	�
�V.!���/Z���@+���1���/Zy��@+����kg�wbf����W�!K��V�(ebi�d�l�?���+RD��Û
���Y�m�X���L��9O���
�Ā����X@�D�]��M��_�I�z��f��w�����1�꒽1o�UzkX��x�l%$
��y[�|S�n��DP��qG��F��UY�HG�GD���Q�|�LI\:&d,��
eyu�k�f�y
:�<�D�j]�?gU�ߚ�H�,ʽ
�Y�H%�r
�A
ҧ��ܗ
���!�e�
�H�J����X��鎒��9�g�N�~c���w1LA���鼐6V�"�����Œ���at�$-QLq\vG���
F�Y�V��
���dC�vҤ��]<��\?����ЉYw�ƣ�����}�����'�[�M���N�@ЪU����9k�/�R
-ΰ��f]�i-��i�̾���0�Rh���;LO��:Ѩ9�9��Q���S�tfI?�'ai*�cv�>�j�`Y�P�O��%���tV��
�fg�/>�kQ�wb�

X��!G����i8�Z!����
D��ZjK
�-��U��80�//���y����9�v�b��\��
��`��3�y�\�����14�w���ޑ曝65㼸�������Y�s�D�	0�?��I�&�
6����;&<~	��h��6b�o�J�� �-�`�ݢ\v���k$

-
���[��S���<:��g��0���#=K���
ag��ɑ�r����^L)
����=�F �{n��̭g]�
�HV�]��L�E�
�i�~��,S������/|��q)h
K���fz8��D��NeD9?����i0�KI !ҲzF�(v�0d�+��߹�J
-��ݻxD
-Z���ŖVF���emJ'�nE)P���ڕkg'MN�?d�m_�w�CS�y�Vΐ�OvH����e)ʒ�z1D�5G���\�u"��
Rcg���
-��v�9'+",g^K�-���l{�I�c��q�7�)ŭ�v�������ӗ/<|�w�1����8��Kl��|��|���4�W�j'�^p֓k��+.�#~���JS�I�>5�*BP�
R�뷑��b;Ɏ�\��HeS�Œ�t��kC�SK�j*鶒��2eZH
��'�gFO
-e2fE� cxpD`{0+O�5dœ&6�A����&�L�#Ko��ƌ��V��⻀�X������ܒ���
�Q��<�����_����6�"
�fs�"�J
Cv')��O�U�al��^k�P�k���s��)��@���q}����.��#
A<�
~� 5������;%�� K$9�e�۬t
�o����p\�mj��_������'�������P� �r��
-��p��
"n���X�M.�����0�� 1��Al9��N��i"����E�9�}}5�
(9��7B��&1ş'HI4��߆�?Q�`{�O}ӯm]b�-
1��w{ͨ)Q��,VtSذ��.���NO��ȡR��X�^����f�;P�����j��9tՓ��:;���.�_YI��8��1<eQ�%���B��?<�[��N�\���(f�2�4�1

�}l�xW�a/ۘX
�'��	��#�c%>�&D
-]o��t]�]��N�7���v�C妒_㫀��(ԊT�~ABW]8y�
-%�J� 1m���Y�ni���d�s��W�#���p��>�f�-�O~(3�R�<h���{�
	;��m�[�P��W\n�ɏV���
�uϛ�*�Nu
F����	,��g�
-���
�\�K�9�+�T�Em��u��kĈ���95§�c�ʧ|/R�
V�$���
	T>�:Hl����FO��;_�Қ��~3�ğ��S��5�(�����j�ף2(~Kڦ!lZ��|���F.�s��
�=o�`e_�B��DZ.aL�x��b,�S�s|��9�:&^�
c����Z]��
&�i��M�Db&k\k�;���<wa��m�"�p�!�B����un�W\66��1a�]���$��,�SJU�t����-��&�Z
,#.�5C+�]%Ta'<�O�
H��R�X��^w+��Z-�ێ��MŗTT���(Y

�Hj�)�O
-
#��
݇�
�}P���uaf$��y�����>8
^�gJ�"�������]��Ո�X��
cj�[�(�eO†BZlR��1ؙ�j����F�
�]�+
���1le~�X '�&o�z�΋�`�7d�C��[
?1���9����%}�V6���I%��D�S�5+au�>,=��(&s�^�N���+i;K�O��u�zCִ�C�<��
_>��Y�=��pS�(��͏:
X����X�9������
-ꥸ�I��jo�2�ěM+KGV/����;Or�R8��~�&�<�Qt�v����:�P7v��D#u�1�OR'*�����>���7��s|9��"y�6Iu�2[�-���Y�Ή{
���Fg��cXE)	���6�!�Q�\�����>a�q忣�A��%�$.�l~Q� 7T��@� SJa���Sc��>�r�T˲�U�e�
��hϽ�]f�f�/ 󍳎�p��2��2m��v%q(T'�}P������^��q�s-rU3���^�!�z�
r��x�QMۄ�ثȥu(<�Q?���}kL�;;��]���`E�ܭ`
�T\�}���0є�n[���l sJ����
�X��^T"l��W��$��x��.���Z��m�M2O�6-ԕ�Fn�m�t�m��x�7��2~���M^�i�R�k��_���D�v�-r�
�2΀$f�j
z�kmC"�LY����c���~s��b7 u����V5��.�M���609��Jg�U����X�"i�6�ـ
��h�Jl�v��j��"зhC��/�t���.���$�e���
a��f��a�쵷&T?��tv�9t�]��l
yR�?��eQ:��E�{��ӿ����U����
�q�����j��rnO-�QeG���zIct���ݩ���Db
�6/7���xf���x��l����,���I��R�n��b����_�u���M ��%3��T߹�ӹ������
�W�����6X�M�����$���6L��Xʗ���w�Ї�Y0��Wu��ճ�_��&�
-z�1
��%s��hz���c�>
�����'
-�xC֯
j]Y	��rLG�γ=d��8A?�
���c#
C� ��
-��3�O�Z���xϩ*L��(vK"9|͛��rQ>��,��&uxT�?Ȼ�����~C� �
X@ͼV ����5�J
1�	�jo��)\'���
��&|�
����\��?|�=3�n�
~�����? Y_ΫG�������	m���ܪ�&��J�����1q��B&�kXa_�yrp��{�T�on,�5��sF(wB��=�c�M at p���p��ήl� r��/��z�U�
-���5w�5�:��pI^��!��ד�r�^J"��e��:�PLZ��G7��E�п
}���l��LTo��A�T g+��z��0�s1�ݿ[��$�������g�
�'��r!rF!H?�e�L]7Q�9����"^�Om��T�FX����,�כ�hN$X�Ԣm�^9�2�
B�W�i�LtL�y��	v@@��:��~'�c*���
��3
�i4Et8���H���zŞ	O�}�k������7�U��
�Ṟ��)���FIaS<)��]%�� �%X�aVa�7�2�^����V�X��V:O��ޣGW?	j�P��+Z����m��E�F��p=АF��4�4C�BGF�˪��
nr�י~
�����h�#{��ц��j^��1�>���+�,��o*?cEd9赬�i��+�j�"J�3�?������fd�����vEG҄�I�CfXe����xf��8
-��g�E�	�e�L5��"碨~%
-5eR�$��
�j
@���s)T^�j
�����f])WN�02x	*��G�6�5�4b��
�ږ�F�5���$��7p[�����|��Pg���01��e�K����&k�8��
0��%����I
�kuSfH4�
�5�
*��MO�c;�͘����j�OAT�Zķ���"	1
-���ȕ�=:���=ь\y�\,��*��/��WV.ϋ������u˚�����ѓ�R����+�^��J�??�v�p�������r'����3Ҍ}
�
Ӎi��i^��Y`�m��O.�1#�2x`�^���-6eq	e�eQ��[����
$���\{���F�H�/���=DQ	��ԱI\�����1����6���~�T�֯-��vm躪�b�5�8��|q'|5	N
-�]�+v<�ɶ��1aF
8[��Ph�<L�"���!��Ț�^��v
o�Gf�#Y�+Lk�m0��3�D��d��1���5yS8�em���(}���lGyo�>S���/�twq��A/����
㮶Z\)̚/ש��E�%GBy:����<5��
;+|�
-I�ΊgĮ%��x�+h��5q@}��|�$'�v��[W
-���А���xt���y奈61ai͓}�s$�Ƞ�c]#]ߤ�w|�e�?*<EY3M���v�Q�����+"�347��&\Dg_�.���fF��@�������nRT��m��������I��^�j!�/\i
'�
����8|��0
���%�4n�D��K��l[V�zp�
���#��Ԟ�
�UЀ).�i&!���E:ӟ��g��-�

��6H�~�[��'�c�L�g?<�Cb��Ѳzc��
-�S�
�o"o�L�c���1�Ϲ�{�
eRT���2,�y���L�
�?���႑שM$<i|a�l�"K`�Yߟ����I+q$�Y�il�<��Y�Q���1O��
nN�uc�}���i8q芆:�ڠS�}�ï����=$A��^-ʭO�N&���`F�

e~w�
����b���W{��
FJIb��4!�"���+s�0T�#=�
��%䕁����Ch��H;�}��
-2����c���F�F��I�qzP��`%j�P5�l'*d
꿮`VᰛB�󳴞���KKK�o�����	Og�u�o�M�ض
&��ZP0�g['Q�� �
F���� �;����.
W~{���=�X*u�<#1�ԎVk},��)Z�C*(?� 
1B���XL�ɦ5v�k:w[
��'�X�oa]VYQ�7
�.������Cj@ƣ�R�na�Q�}����o-
�� e��C�́ZvOʠL�qz+�x�Q
5oډx1�V}��}yb�ӹ
�m� u�H2�2�����O�`/n�*r�
!u�"-�W\s`�<0��E���퉍��RК��r�%�g
�7C����ʭ/$�S5��&�U�uЭ�C
�[�hX��K0���?�*Z�
.TP�§�L2��9B�``�~��	#�}T���y@��8�9|⢩_8���� ��~x
2���>�
-)��Y(
�
M��)��V�-kS�3N��LA�	�}`i<
s曛lo����ԕ{�t��Ѐ;�P�b���tԔ��xk$>bʙ<�Q��Yb��q��+[��0��w�7�e9��v��
��ID��-��_Y�p��dx�D00.�{q�Oޟ
�ߔ�in(+�~�^���3 a�����]mUU#4_b�O�����ڷ1��y�7�ť���٨��}����phN5�
˶���1��UC��_��,1�^�#���գ4���Zr#��f�!Y#��k�*i�&A,y�"D�L?E4���J<���� C
-F�UAD�fH���x��uK�K��qN��
Z��%�Bc����3��D��VR�8�i����ZS~�q����<�
�<Hp�7
���yi��V��
-�D8�������w at g��
K0��_Ri>̀/ά�"�wـ3Rƒ����O�;�$�1��)ލ�Nh�%<�6�)�O�~h���6����"�������Ow�
F�|ה'�AY�/��e�c/�Њ�l�njn�힖�D��~��a�
�0L��S�{ߓ֋$�#s��h�ϳʌ�|�{) > B7Sx(uG��_U����3��vb'�zF��A�x������r�H��k�s/z��[��/��~��]��m����_�7#��f,/�1�R������7�v� o�5��B6i��������Ӷ��;�g"���~}��<zP���#���bL��M��_�z��մ�Ɇ�>Xg at h
��|
�<��8���6�
-!vv�?�H��3��p`��({���W��
�
�=����ہ;D�2����U�� ����E�Qf� �)�9���lX�l
��E�|L�)�y��d'M�>���_�� g�; ��Zgʓ��	���o��r"�ٴ_��l�)�o�Y�
e�6�*�0��dz��K�m.M��x
�:

F�{F���؆�� N�+;��v�ˋ(Ad
wD�
-��-S�NsV�������16<Ժ���`	d���>ڢ����ʌ�
���Bt�Wh��x
KJ̢	d��:.Q�ry!��ٗ���An��l��dT�9&|Ah��
p|��`��L�рFW\>
-�� >�I��@����sH�
-��-�	(�bV׭}U�Q�
Cd���	��\��
ţÊs�uQ�ZLe2�<���
Նs]i2aM���81$F>����P�Șz�L��/�
&��u7����~��
�mk�^)9\L�J��^�h�*�~��#��"שG�D��<�D^6E�Λxc
58 n��n��U<N�>�%���s�HT��#�H���|�L���HI
�/�s��Vd_�6���G��=W0�Q��zՑ>��4�R`ňz{����{?����]!:��rx����BB�d���NANAz˜!դ�^�*�.�Tݤ#�x
�n+��A�l������a��?TM�t�t�6�(��c��n��P[
-?@�N5���{�#��,�� +}��x�
W�GDzǞ���陃��}`4��z�e�n�
����c�ap���
-�I�����E�

u+��L?�~��8s�$5��;>�|>^	�%�vEH���⻭9���3��ЋG�k��G%Ec%ޫ�ٕIa��u���G�=Ⱥ�]�+螱8Ϫ?
�j�AdW�[zӘ���#�C�n�\�O@�W���4ȨڃX��ɜ���B����1��_�ׯvE|޷����]E?J_h�/���W�<��K��Ŷʅ@���
-U!pq��;�g#�U �͇"y�
�����N`%j��)�p+�1v*�Zܧ�c�Ֆ
����{F�����ah���&�K��倂��D@(��}ܬgG���̪����t~�?���6�B�;%f�ʨ*ի�_��}5/�c��j�����3I�a�d�fI53�Z�A�\�[�Ww F�
C���$Xm���83~D�`l� ߷e2��(Y��ż���
Hu��Ӗ�=�oNeu�W��̣����v�/���c�t������F�k�=-�9�
-�uA�w���.n�����G��h΄�t���;_�g	�e���K 
�p���)#���c+�����u����:2�,�.�B�P~�<iF����ht���:�8]��u���|T�/��i����C�J_"�
�Z+�|�*Rɱm+%��&��$6J�k=�
��attw��nཪ6�I
?!�j�Y�X��oMaX��٥�Z����A~�l
l�l88��TD��ɞ�h���k�6f�R� 5
B��v�.�9X��Њ$w��)h
�W� �%���L�
�>{�%�I���rU=>q�p�|���b���槓/'�^�mc|0��h�F��)�,�B����0y��\Vf����cJ�ݬg�L��gM>KSj��
-o��h��~�d�����SWa
��E����tט��ᖴ4N��Ge����"�A�'� ��X,�j���[o7S�ølTo�t`wR����
�KY>^�
�$�ɾ��R�H�����R�� �la1�l�����{�hf�ףhy�
-Ҹ�\����"���9�ݷ:b�A
SC�E7V")�yi��(�H��A���]��~���@�#�1U��	KH���z}H�W�@|���&zϼ���l<�M�(��7�p+vp���

-ͮf�*��Eq�9��qS�,g��������7�����^M�����0�Ii��L1o�&I�=N��ᠬ��T���Ǭ�#���"�ny�I��Ntt�#꟩$��
-s��C��� /�]�������c|�������#5;� �?�W2�2Y��zP���$�
-`D7j&��w�-�ɸ��?�`
-ڑկ	ˡ{v�u��D^B����7��T�O����N�ս��5�<�9]�F�� ���v�����
.�R5?��P��cb	
�	�e��g�(�x���;)�@�#o���w���8�S���
-L�F�mo�1��	o��kϫi
�R2Lϻnp�f��ybcO���"3�-��\/�͗C���=&6M�y�x�ͱT��Q�]*�&a`��j�u ��"j
}��l���.��..=0c��'m�*+�˹������ٝ}��	
-�����]5���\��M�a��
�Y;��L�/���r
-f�F�:�:�aP�
�Ѫ+6Y5͟�^gv ��(�6{��3�8�6'�v�i
-�Q�Ƣ�{��b.Bd
-	Rz`"�ru��X�e�FC�g�
�n?�>dz鳖���
��F�
Y�SAV&Vȭ���:��`��

�n|�B�����
-w��Y�,k!�L}��1�-	��`>⌏�.ɤ]�5����C��%C21B����c�5;����G�_�ɼ��遴���?�)�h��rE
7x�y���
��d�� X���[c���OR2����ٓ#J��7��H�8�

i�\�_��澞π�!Hlm�MO\��<�\c0�\
�9�
x���"7>H
ve��J��J�ݣ@3<����r}�݆jS��l��52Ȏ��(���A����2��	�$�CR�%��

-V�
��}9��:��&�Z�2�V q��rʏ��ɋ|���R�J�.�ce���t/\0�J�Z��Æx��lڸ�z{��kD����)<����R#4Ue�'a�y�bo¾�_#���K���=��{{�U�l���g���[�<}�IQs/�.����E�%�.1�b����3
{#׾��V?4�~�%���u�%�|8r�mJjU��mΗ���H�G'�t�����c�6(C-=��
�<9��)�ߍ�M��+������-*f�NMۑ�e��R�y�&x$\v���C^ʆ��F���P�Tp�v#�#7^�j���eQ���	�Y"C�E�=7��͑nF�߾v�H^�Ћ�
��	)_�Q!�F�����m�s�����ȼ_�7%z��xu��9�gJ�s-񴡝<'.�l��j%���Z��h��j��1)�r���]4'E�(ڷϟ\-��XP3����'�
a�_R	�74�(/7��3��Al�휓�;�p��i\es4�홯=^=6c�gWrf|m5�B��m��伯��Kט��ѷ�tkn��3�L7����5Z���Ӊ�t-�����C�
\�
��Bޝ���Uri�Ÿt��	��
�u��&E��Ԣ
��Q
��ma
!�^֝�3w�"o��>z���%��r��ݵdNf1%/a/-��[g�ѩ�p��~�%Q{�e�Ʀ� ��(ޖ%tn��4��xs���n6^-L=ˉ��ab�������Bl�8��E�c<�c]�t��T�����w���
���A
TH�7�_qۚS��O=�
�/��#Z;t�k3��$�$�/�8�<[ǷUUT�Б�L����
-M��[Z�Ϯ T�˗

��=6v�qh��\���ȊEr;�1��!B��?O�X�B��8�
�m�a��z�{d�����h�f������Ӆev֬��aLȃZ�;�v���(��:���,�]�P��+�7ߌiӎD��Je�
-F����R�W)r��z�4��}�x�J!I/b�1��y
-u�m<�7�wr
�-ov�l��Su_�
⠚b���	J�����g�3
�lL
'�Ñ�����4�ʦ$\�2Ȣ
+��-b�DϮ����E\Hm�]������WwY�@kwFw��^��xjj�$�'ΝNQ�
-��›9E�;���C�V�0t��R�������K�Q�wU�����DĤq2<��Sm��>pIy?v�����u���<
-&��"��
�����d�����@,*�P2Zߥ���Q)b �O�C�!�Ud���5��=��3��Y';�4<q�����E(	/�T<���������j�~pI�Oڪ����JeH:���_0
�ٵv��	d�	%_��c;n�.����̳��%68G;
r�iD���0������6|y����c��;
�2�tؘe�=5�`E	���1���zIS�	B�6k��ż�
-����r���
�?�V GyE�T�W�4U/H�WN{�H
\�+O*17M�u��f�9D2^���Gf�	��sVD���eK3�����\83�|�i�JLv1V��<֜�����u�j�r��S|����:M�;�/�.w�4�P��$�|�����;i�=
-d�><¦�SCGa�G���{HW����ݑ�ߙy���v�$kOZ�
_��K�����"�H&
7����1�����O�
|�5L�7]f���J
�.̌��o&g��nH��aFn��]'��\ހ�:�[]Ƀ�I�C�q:�$�B�.wX!��V��3���V����/�
����A�
)WaO�9��S6*Z���;-���NjmF����i!��0}x�	�
�1�7I���4��$ߘ��#(���h�/��c�
;;����߀���[6AD7l���~��$#�kvq��~���;8�`�E�ay�ɜ�
^9
9ym.LᏳ��ˡ�&I�
-����I:i��0���#p�iINS�|J?��
Gb�SH@���c���?�
}�E9K1
.96l���-ʽi��N�	�6
w��TP�e4�*�I�����:�6o�
M0��������`�=��
��f�
!Ύ��ȵ���A�Ǚ
�"tF�&]�>���
rg\�Q5,fӭ���-P%^XD8�p;�
��E����JF��_C��7
�F��š�
\sT������^�/�~E�
�3�,E&��о8�*�Yoj�}XT4(
Ք0Y>N�����3�i��O+�Ѿ|Ymm��;��Y��\Oy�P�7S=ߊD-�ou�у��r5K��_�k�z�~uL���
-��C�|gu��_SŊ/� $h2��H�L�ս�uԞ
t��<�7���!KC	6��݇F�T��&���@�\�
�B�����Q
-�xA�\H	�ܕ��

E�U3��K�-�>��p��ȓ�����H���kx��|�`�qV�cXe
��)�@D�&��
��mHn=���O�G-c���G(5[w��
-S��
>���)8r�i��C�A���ď"c�h������rnu�bٞx�M�ta��/m��"�s����_&���5��$U��[W�P5��=n��kq�y�b�o  _�f���~���;^�s��9!�D�2���>�꛷�:
���.�`DQ�
8 ��8G%�t�|e��C�T��H�Im	U�K�}?��
�&��œأ�
R����;^��8��u����S�����
2	F��Hbp��:�7\�z�
�2��CRJ`��A��+u�]+��}���q>��
t��Ķ�-Yl!K
��&��LQ|x`�=����
����i!=�
�S��6[/��֣7���LB3{��/Wd��"^�������R��^z]Л�~��g`.
b�
<R4(�psވhP/��k�r�#���c�Զi�gi�Ψ$H$�{\�W��fL��\�����*�yqk��r���`�R)S��3���`V1k��_+s����]�z0�}�3����w ^�/���8c at CG��� z+�%�.����
D�M��7x#D�0���]ޓi�mi�,�%3��l���*�BűR"'�J�oW�
�� ��Ob�:&s��!D�� =���"������zrEI��+[Z*;\��b8�CK�
�3ovb1l�Z�<jK_O
-������/;,?�
����fL����	��0e�޻4�Չ� _�3
��%j��h^��� R�h_�`u�z���"���W��ܪ��ob�-��A>���zJ��{�q����g.m����r™�
bԓ�.r��@�l�j�

-gu���UO��Q\ž>8w�T��e�m>)9a�<��Z����ߔ��/z�~
븟��!k/���g������#��
ݙL���c��'���A���e��~�GݺXto��4=��:�t��*��	�
�
-3`���e�<�*OQ?�ZJ"���MGq5)^砻(^C"E�O'쑈[YB��Ë~�2c��7�b

brG_�	oY�`
.�!����ۓ0�T�a3A��Ų�q���/ƜJ(^��5�J��ݸw;� ��*B
� 򗤮�/�m��/+��w)�z1P\,1)5o\;�^�����Fa��OF�0�p~Ќ�0� �I�m˻�/-�s��e*�r�Ŏ+��>�i*9����~�
n7��$TPV�@���
-�]� 6�/�"��8�K͜h`��L��� �<��,�>}we�<��&������
-$��E@�m;Y�(3�h{��@��/�0�*n�Km��X�0]̚G6�_�8J�A��
��'pU��^|v<.�`C��٘��)
����}�_���Nd���{
-�
-*$jI�c'���mƹ�	#Q���-�U�(�.#E���3�u�ID�3�o�f&�L���rù�>b �����(���2�"tW��=wM&Jk�d^8g�K}e��t9��P�
-ҽ���^��=)dЮ�5rk��iŞ1U�
�-�x�g��V��
��
-h�}��ꭅ#
WA&�xY���nv�]�Wx��l�vJ�`��e"O'W�.��K�g>�`yھyWg�f|eM���@�҄WN�*����+����
���·zX�UK�x�/>�
�+�=�;q�Q~Hf�����G�Q��H��k���x�Za�j)�b�N
bT1�U�hZ�n���V`���I$�
-s������
u��_
��"Mܝ[���J��[��'��D)W�8��j!$(�kb�{�����O�.��F ]�k���$����� )�J�����Ќ���H�r����,��"a�.�D��߾
���
�d��o��W�c�ٷXC[�%w4'H�Q#�
-Ԓޚ�-e�
j/�d·
�O�W]}r�mfPz
�v�r�Ja0M �ّ��Yx0{�D`�^�lb�������6���ٗ�1(�!�N/��5F���N�)��g���� �U�p�صyȚsA�7.���ww�e����pڟ���HF���(#��u"�!��}�0�^�\�x��4���%�Sx����u�>Hd�u�f�	{>��A$�l�/�
V�)�"��1J;/��!��1�Rڬ�43Q�
y��g��5
<�8�w��=
�4��6���F޷U�������#�
Ʋ�z��¢���E=*��a�}��@��|�Et<x�)yU9)�9��Gя[�g�$P�W6�}��J�j%�ޏ;��0 at TJa��\n�Z_2u�Kq��6���FYe����-��G=�O
�w9�8�u��N�m���p���]̩Zo�Z	��q<E3v���m��
8m��h1�r�p��
�L�A�nG�O&�#E
-�~���nS\�t�!D܌@m;�q�nA4+��[�
�݀��<�'c����1w�
5H��m��ɾ��f�aW�p�U�UrF��D!�
-���u͐�L�dy����H��
c���p�(�>?���̥,A'KM�f�U�X^���ˌ��s
�7O5m+��
	<ϋ�a�#E� K
-��0kZX�C
��
��GY���!tr��#������W����+,�>��-j&�.�v1�
�
�G
-�N�
�\9f<��⛣@����s���Z7hX�~-�˴d�
���E�jpS�z�r��lU2�B]�������GF���)����T���P���Q,F�)
]	�T֕g��L�خ
��h��Z�u���'k_������
J��&e(7���ss�݅�F)�0��rh_r
��
����g�5vD�|N�w�/�;-�j3�+��[�����>4t��4���$��F�dM,
DK��"��Z�f:Vo�xԻ�Ǧ�-g�d�����鍪�"���<�
��P�P���!�N	K�k��*%�z/�!WpїY2`7��ݿN>��$Ye겵�t�D�LhU0�s�+���U����i�u��_hވH�8����H�st�r6�
��8c��w�"��~[P"�Ϯ��?q�Wyg��-��r����x�[,�b���s�e9[
sʙDؘ�[k��r��e��X�<�i�E�@��{�Tk�II��
�|]"�t����>�g^l��.Y|�9�7\�LkA��"]PkT���L� y�O�9��9��	���WAK�bߌ��'�����y��.P m����)R�o(�2�X?�E�4�̚	�B
ų�{*!����y\?C��*�ø�
^vnE�5{?I��q������Jk���=�ܧ�t��.G�Cɩ��»O��|�z�k�<����nk�]�6��O��@c�hl���fY�8��۰]�eR&�&	�Gɕ�[<;����x[��+�E at 7�U�n�p�#��Q֢eC�f�b�@gu��٘��zCU��3q��YA�[���4<w�>��y7����C�R�K���7 at g+�,�t��|'���"u
>� vJ_�X�� ,�+���Ë�y�'�]tͤ��^�h
6��2���:�c��p�{e��B���?��A�X��Z�Y��jpH���8�*dbl���u&so�ƾ���ډq�S�p<�Gs�*g��T�b�.�^�
QdAz�`p�s�?�$˺$o�I�f4I�$��Q�o��,}��� ]�
`I���3���
���Ͱ�!=±B��#���q���to�&~9����(��(��-�
-J�*uVv��U7�2Lq��q�,N
���v�_���=?�<�1ZJ�i�/qw\B�=�W�
-'߫�I�%�D���Lĵ����w�

����\�0A�V
����GN(
JVW/"�3s��%a�zP�PId�0�W
�)�t�ˋŕG� L�S�2�E�l�v�T��ٻ�����X�Cgy�m
Q�

'�X�_,)��6u����y7M�
�4W����;��E��^�p� �$HU
���`�!�TX�~�S���u�L�
{d��vɼ�
-� M�J3�9��`�J����)�����&j
-ų$�?��cP���_1y�|q���
�
��+b��O�[�c�7���z(
7�ft��0}�LȐ���d������C��j�Z6x�/��|�F�~'2٘ȍF����=r8��AZ�ە� t���RU�,����
B%{2���-�T����1j=���dm�Kʪx��ӎ����{���*�8�!�G*cUR�%^��
[7�f�`�x!�KH>�l��Tt��
G%A팠`A��BT���ڳx���+� ?~�`�
��[R [Q�ط�J&�
�ס���a�X�]�->�ө+ld(��
��ڻy�5hڢ���j��M�xܸ���~��#2�Ꮕ�P����kC����W�l�S��jQ���F���s_a���=ct��rTi0WnC�;XY��3͛0��N2~�,ǢjO��� ����
^S��41Vu��
�z�r`sO\2g�a}%��wҪ���^�M�.£�aU�.��?��x�6��|� ��	(�)�T����~G��}o�����kn�OՈ�z�o��7�y�W>|0i�g�?N���]nܙp��n6������[z��s
]��?���#�wn�(���&��{�\�6ͫ9Aʺ���]��CZ�~
-���3ë���O+11��}������̏�9<+�‘���I����o�_�����o�!��w��:wv�]��n߶�{6�w��x�ۺ�e���/K��NQyU���hsPS�3�=鯌#e��K�`;��ޱ�~�ܿ'x�xE�O��6�	�]�++3�U,��V
oa/߷�e��G�?�<����߫�m��L�L����X
��FIl}��*��uRPRF��˃����o�5�Y
|s�M���=��|��֍�'-vN<��s��{y��
���l�?U,MӤ6��w�ﮨ�j��{,iW�{0�7���N�����eK�rl��(^�
��Vs��Q�����n�ݿ[�e�`���
-m--U���A}
[�}�Z�t���{������U��;#���f�
�/a
�k~�yg�`Z�r��
5ͷ	�
<y.͡����b��n�g�,�!
r�.�qg��$���NmNx�<hipd9����
+�j6���S�W_��'ؖ��m�v�	=���oޯ�����vV}�q�ow�"�iZz^:"d+���M�IS\)S�sfT�{�)���˅�>��]�O���)ͬ���6a���M,�w?��[xC��bW������ۓ��(X�oi��	��T+�ݗ[e��}��%�m��|��>ܷ`K����,�:��_���cݖg���q���e�쵰��+^�yEJ&?�̟�S���>sa�%�^
��9��ޒ�KZ�����2�;�-(ʳZ����
�O�a��
-��
�>��$ٯmo��ɦ���W��8Xo�1N�����>9��
��$oU�n9ntD��C��ҏ�7�1,שu)9��^e_���M����
��Msf>\mrD�4%�k
����
�'z��k��/����l�Nܔ��
���j�8!����ybKZ~�9��ܔ�	��''u��,IX#����}��ԧ�1��l
(\�

�sR�J�s��� ��endstream
+/Length 18351     
+/Filter /FlateDecode
+>>
+stream
+xڬ�UX�M�p
�!�K`��N��]������=��Kp���׳��{7��o��
c����5�EN,�D/hlk��q�gf`��(2� ����Ʌ
�N�6�N@
 3773@����`��a��ab�'�ڹ;���9������	�:�� d
�̀֠9�
� J�F�@'w���@�� E�#��h� ��
067rM�m����1�p�O������\�� ) H� R4���rM�emAkA&�H����VV���L��!�?���V��������	� ��5:��wW5���� �͝���U�����H���
+`��������X����
`b`��W
hc���s��������������
�m�����=�?�����
:
s7�3�#��������Dl�l��m@	��0pp0p�e���� sc� �fd��u
���`b� ��u2�
��
���+�`T6:�X��ֆ��. ����������!F�wMh�W+h:�wd���{3
�����(���>hhV��!�({g['�����$ؿ[��6�ֆ�d��_sp �m��

�C� F;����Ѡ�X����;�w��W�ϥ�@Ggg� ����e���u����)
-߃���Y9;�@�2���6�@�1s�3��_���l��8Z8��G@;� :ؾ@������A�N���� o'3�_=��8[��c����]���u��$�t�������8v�����"\����
g��gk���r��������Ͻ 
�)��A����r
 %�w�|}'���;�<��	� �o�
��;�L��	tL��r�x'���;�\��	�"�N �w�Ⱦ�E���\��	��N �w�(��E��@.*�rQ}'���;�\��	����A.��r1t00�:�Ǔ�fy��������Z��y�F��&V������߉�s������� [...]
+��m�]���pF{,��Mxվ�5+������c�ca�l���� "R���(� :�����*�����"6�f�Kf��H
i���6�WC����|�x��+
C�AI��:��F/ �=㎁�JuæQ��M��b���� wƒJaIB�����I�}rc��d!fo=��+�1�h��wu�iP���ՙi�����t&��&�h�a"�
��X5�XV��g!�J��Y�
�
��\l��Dz̪|�L�c �j�Ze���5��
f���w����	㓊��C�Sc<��������e�T�9�T�8$_)��!�e#��]ǚ%fN�_�W�-�e�N�ꤪ�&{g$ON9.,��i>��8
+��k8 Frf
�)\$>L�5�F�Ǝ
�YD�9����[
:�3u.e��ϖ�i�ݬTz�Ծ$�

+
���K��],��,���^b��J�6����,m!%
�ǵ�	a�2��p��
L��
u����7
À�
�~�
���Z7!$
�vNo&�|�֐�}���D��R��h�So9��1\
+��B"Ӛ�n�Q�GTB���pG���f�u�Z	Q$DZV��K�V
��lW�A��/\����g���B��-���D��
]}Hߐ���
��R3�)�0ʈ��
�� �mY
s�AS뾳TJ��N�K(?w�b�O��z2��m�.N'��p$������j�
+�aԌ�l��\
�ԩyO���5���P4%x��U��!�G��-�J�@b�}�����O�㓘=��N�>5����d�*_�jDqU
Ša�~�ǡ����<�ڗ��k+��Dqwb�X�
ٵ���~��j/%�#M�PMOtK�
\U�����_�Yd�gI��ƽ�VȀH6�:�{�d���\AT<۪���p\�{���e�gQ��
+�V3����&�6Y���%Dtio�-r
ʼn�CO���L�U��⃓71���W��xgX�Եj�'�`V$
��_2̎�l�}Ԁ���Sq��v��u��5ۡl��_��F��%Jb��O��z0h6��#k#�J��
�#�������v_���,}�"֯�8�c�<9�v
+L��~�
���N
{	Pl�8d(V=()l1ɫ��.D�G��Mc�ZD=��ُG�;��"s^w����`�<Gw��԰��4�o��$'wp��3�(@yY��"�>�!��[b�!�~HȻ�X��f�m���%�d�å�`<�;��?/� N��[4�_+� �d��UD��E�d ys�,�Y����đ:����J���,�I���R���!ݶ}���
U�n=?� �U6�,]��
�VB.H���LZ����{��ڱ��qP9�w��D
�]�Jg��lOiYm4Edi~���v����lW"t���,h��H�EWW
��?�s��X$�7�G�C��������ck
`nTYM>�����P6�}�$r�?O�չ�L
���b}*
+����1
Y�gv

����� �UJgY����XG{�t�[v+� �G֍_'o�l͹}�/Ȃ�v�
3�ɍ�'�`
�,��r���˺&�V�[O�\m�R��ɚ��F@��G�kV�š�<��5m� e\>(�Rg�D�5���
+`
_�q�9}�W�����oK}�%e��ԛ6*� �|�X�r�v��%
�u{Є���vK�X��3Aڊ9kISFd��z[�7m��Q�m�Ì���X���_	T�q��O��(�ȫ�������1z�q��c�Bo֏�hLy
+�=�m:�Y�!Ũ.������X���3��0�]6�c�
+K��`�2�?�_�MSz�	���ͨ���{�i���[����~�߰���>�-06��
+F�5�x2��8�T��^���^��}����(�����LŚ�Ý��&��e�\������S/lS4�k�c)XѾ�.!�6g
T+Q!���y7��RK�_&�U\
g�mֶXz��B��g�h�Dr��
�.�u��|�`�ѵ�c_o
+�-����c�
�og*�v}�=��
�)h�!kg5�Y
窂��g�UL��Jt3ׇ��0N��F>���'p1�}�=��H���.�2Q)�3Q�
5�����pyv���v�!6�F�@�!���T
aM�Ot�(��7C����$�㩏o+OiAF�Pd�#�Rٙr��cs����l�x�~��*"g�M
w�r��J~�x��ϣ��~�o�����sS�a �����ꏙ�iO�foB?Gh��r��Q/�l��
+li�˹
	`KG�E/ �^43��
j�g�-�D�r{�#>19T�tjUVx
+��zO����/#�>��������sEXh1�e�sp�5W% ���t�F\�p���S�
��`�^�G!b,��H
��<��U�/)an$	��_����B��+��񩂓���z)�*r���-5���ߺ��t\�	>�Ut��
+���1wL�6�%|�`��Z �I�R
B�:64D$����Em�<hQa�s�}
!�_^��~*�����DQ|�O^�s��	
`��s԰3$�]��J�;
���~�f�oJ��~A֊Qc�s���iQ�G���k�W��K�v&�B*�O�O�56���f0}���V��]�0��|��
����^���X���h��M^7L�
�o���n��5��S3a����p'K
�t*B�
�`�(�ڌn�2�)������7ǯ�ۥ<�U�7p%
I_��#J�0ٜx�8�8�������o�i�j�I
��oP��J��sJ���tB�B�n���5-A�y���u��B<��
E�aS�M�A
'�@��� ��H~h�W�<�E��u�2 at Do{
н��F��ԪB8�M��Qym�\��=�B�����w,, h^�c�^��=�I��S�OME�܄$B� auff��2B��	/x���AM9���J�i�������Sn������e��6��:�8Pҏ5X�*_<yKp�>v�@����i�$N�Q[|0���� +r� �;(/M ƈ�H��[>��*cv�a�M�]�i��j�Ia�:F���$�;� �6��|�C-΂��1�f����ͤy LR�A,o?��ث�Eb_��u���E��t��lf�
dT�ay�8�
�Z�£Q�����-~��p���OW�Z��]|�G�E
+	cqu��H܆[���ɟ����������AW%����UK�a��6^��}��\�qX
+$G
+��+
��I�_=ǐ!�$�8`P~�h�Xs����0���'@��:ˆfQ���eC��(����ȃ�>H���Ǐfb��g
��i��l�P5f=
+E�
F��Z�z���O�k���e�A^�z�-���
��S�K��-?)�3��SFԝگ��w�P�Q�����T�\ߟ�τ�yÖc�o�.E�R�
��>HG�w����"hv�ы��}W�Ű�ǪhЎ
���3Wc�]�noeY�w�'A�nj�0(�8��
�J�b��|~a��WH�D
+��J����?[�f��L��!�i�u2`*��
W�t��ƠSmmt��~�򼆐&R�@�H'v��؂U]v�#ǎG���2�-ݷFHGѰr!�+'�׊䄳�a�s�	�xJ\,C߄��	�$��7��Y>e�S�
Oo.��S0#��+ U�2�,�d�R��op���� &�
J�bdp��&�r�m|@��<.�G��
+���ΏS�
��k�/ݗϐ��(��S�6�*;����VOJ��T�J������w
��c�VD�e�j�:_ԡ���³(��T���ъ�GЇr�Ͼ�=n��-�scG9�#���CM��A|ʃW���>�1��f߂��S%�D���5S{q�n
�ŕZ�Er�3���}Oa?����
���۶�[��/��`��ǣO�����2��V�J�����,���w!�x�Wa�̷E�?0��j�]Z�|�e
+�82��tH��&U,� F�&ni��*1♕Y)��<L;w�t�4��K���
+_�[�
�c���#��A)���b�fH��Hș�վ�#�
�9ݑ^(ܭ�+�G�o�4�2����S��.afasAُ&�k�(3!-v-���ؔ���tر��ZA���l�����e�MJ`��z�A��'�_���F�����	��b�T
��%���y"$ZG� ���-�1_Bҋ���2R_� ܞ~1w�j���A�b`�ڥI�.5�1n� �O�xU at t��R\ܒ�5�N�r�E
+4������q ��>Q�-
����.p)�1\,9�sou����J�E���'K�bi:���I�u���<���l44��ޕX�֧fz��L���V��
�Ux��V��&L�`�����f_لP���> �tG�Q�#���͈�z�.O13���2N��ߛ[6F�����j��k��
Cp��U�ZL˃H�?�����h���;�ɂ4��¢�e.2���.��ğ<ұzFZ�"�~���Oڎ����Q�Q���9�
(7����H���MvO�w�p�Dw��#;e6ރ
�6El���q.����dPY�`�؈���ړާ���
8.o�SF�T�k?��[�nh�=׋K������Tqɳp�6�v�Ȗwq*'����s���N�P��4>�/���t�'����M{{��;3�TɄ.Rf4����u�
�x�5ÇI�M�G�$zmU*
�B���R�6gB1
9&�P��G|`X�/�.*
b�
uU`�IJ�L�ݦ#���U��짅B��<^�p+�V�_�8G
QJ/M0ȟ�Pn7Ňnz��jWT	��� 냛��XR
+'	No�o+�N۠nTk�s�j{`���d�0�e�Q+�@a�o�@�_��,�r�ˣ�_�Ҕ�2����
=/֟����t�/|�����~�b#��R�h��V�Un���p�al��,�P�
+�� _�Zt���pM�,�/���6�
Z����8�j��k�')}�]�+\c*<������D�
+:%�{��rn���U���Z���%�9i���
�m1l볛0`
�
��T$�T�
�a�Ԣ|��]��+��̒��cǬ�����a���a]q��f�
T���7?=1����Th&=�4hE&��i�v����B�������]DZ0���o����E�3E�8$H���?W~j�-�

˓d��-&7��՜�
Z�i���@����̵���ۂSmr�ϐB��t�6qe�a�������6؞&7�·�j.u����f�M����0�9��%�OR�+��L���>��&���׶c�}*��l`��M��&�	�:��=��k��ϸ�]|߀���%��I�fƖz>}�:y�#}7�s)*�u
^���[�g�K����T
������~v�Co�s8�ЫP����ي%
=�[�񀲛�l&��9Y������M��b�\���B`n�������pd|�N�,�hrl?���L
+��7�!q�T9vr=`
���ץq��*X]+�\#sś
+]��6Y�6�X�	>�WZP��?X�J�ЄD�L7'�1K>&7\�@sܬŊ^���HF]g#��
�±LOl���9�U��u>9�k�Ħ�
v�
����*�L������M�Z@�5�C�J�Vt�W2�
�����a��H��D�.�&��Z�S!4�/Vr%��M��
ς �sz�)����gLx"�{l���܍����%�@���e��z'�S����C�
�	0�±��̴R0������(�{�\�Q�=��E˫�גj�
A��[bw�v���/E�3���w]�RF�����oK)/�+�L�Q���?���if�����l�
+��o�^-��.4���D�k�M
3�!iu�(�G�~��or~?�5������~�nq�����M�ey6�)������1H"�Q�*��TՋ���(͋�Gfh畫� ��K���8�����;勜p��Z��k~d7�Wd��������uIė
����"�<�}u�W���{U�����)zH�$�r��x(�cl��u0���D���b��6������*5jޘ�p�9���.���:���rs8"�jp{�]4����h�o�������t�,a?pi|
���Iϵ%"�f�G5��'�
Hc蝶0�2/E�4"��z�QMţ#j,
Ew�`�})��>�_v��G'N�gKz�!��.�d��L�t��t�ʣ$�Z���7�o��]C��U�
/?�G���壧�.�
+�e���:�S�*P�HYG�f��GC���K���y��9Q�|�I��\�J*��8/&f	�#�7f���e���:
���|i����
So;
��wMc���(��e��⴫���hi�4���`?E�|�U'�� ��0�x;�.8TЮ�+�" sGS��>
�g�7�K�YͲ�.w�9,�ڎ� /,�JdO����2����bj��7xR^�	F Iu���>�E�J��'jx.ŕ̔�\�m]�B
@
j��g��ͣ��E�!��[!
+y�Qy�eE%��wO*�Ew$�̂/C8�������g���O䔇St,b�
�0��Pd
+lE�En�Wv�jk*^>
Y�9]<�H؝�[��M���Y��|���x_�nCۚ7�
�VRf���UD,&�­8��;�b~\}�a_�I�������}���!Ws�"Y�B�q;M\���-�L��a���^�j%���.������u�J���D뤯���������
o<��E	gk
+�@W�)�ۦ;;�9� B°E���7�!0Et��n�C at X�i$��J��A�4q
��yR?��<���
Ɍ-���:��I���v�	�g�cK���'�e
� K�MDJ��V;�:&y�J�
r�N^����5}�|J3}{\>�|0��o�7e�H�u#���
���yJ�}����
�-m�L��k���‰���
���U�ۧ��" ���������
+�ָ\.��q}xCD����"�G��Wٷ�����1lF~H
+qD�%��7�b2�W|'�7Ӷ
���e�/��^q��ޏ��\�����iW;1�rb˲�������ye��р��L̍�=�
QT�h1�Kۢ�Jrga
��پ��i2�
h(3����E�2�������Y��Ȭ�(8���"02�.��bw�s�7�*[NIJ8^{�^x+?z
s��+C�4,�h|=��g�x��n].
��i�%�P
�Z�,i�ga4�)(;<�"��y��%,~0hH���1�߁��[���aܜ�(�Q'�l���y������\'>�	��HT�&P�ɕ;A��S��J	7�V�'w�#_��A��3�|�%�ȋ�x�sҡ���n�k3
ϗƠ/8<�y�Y�E����l��;� �U
�uR����xJ�j��0�T\g�ַ�TE�^�G�����
��C?
Y��DI�Oi��J��q�7�����E��e̐��3B�dD����3˱�=����G�:wkZ�[���U�'�Zh�BD;;?�6�m���7�P|`Y��qK���x��&��r��fBU4
���WIO�>�>@i�����y*��{v�ܢp�$s�����u���
�ES��ҋ���s���unt8�d�	�e�m�;��絓�V�P�ۏ$���Q at RQ����1YW��g��)��w+(
�K�6�mK>����ېq^��G
s�V�ט9�
|0�x�?�*�B��1a
+��q��-8ldS�0n�o'�I:N+D�l�Tv�F�1�&*�,R���;�v3�l��]��B��$x�nb�hj8;���
��L��nb�EE�/���EK�K99n;����c;1����n#*
�oqL���eJ4��nN�&�ž�tF���'Y�AΉ!�Ó`>j��I W�w����CK�	�S�S�)}
8(
ғY���=c�B����l�K��������cU\4�������ؕ����%on��*��bl󤇤|o��%���@۪��Ukg�������p�va
`IB�� �{���:�2=��}Z�u^Zu׋��	���F�
k��S�!�G�k�k9
�;#��(�)	�� Ɍ����Eva�yb׉?.𪿾�W��Mv��n�R
�BV	nir2�� 
]�w�
"�U at qi6��MY�}vؗ?�V\�Z�:-MQ���GD7!��_��
������fp���I�Y���K	VD
�}3z�WJ+
+��p8�|�Tw��Vwz��# 5>���w������Z��M.ՋN�t�
�4d4i�f9�t�\��<d��PQ�`=��s�Rs�88�	���ʬ����%6�Ad"mP�讈1��:��G��p�ti 5&P�LC=G�.�z�[��!�um_{��?�¸~(������[�E��/��
�|����[�N5ـ��a-m
����_��
=@��
Wa
���PrV�.ke�,�w��{���^!���<�,ln�ֱ�rw�RF5[��c��Y���sϞ�ۗm�a5���?�_�D�&YEmXX�a���E���Jj��IZ�i�1J5

+�����1��^,����i{x![1ם|qz�2By7�5X�c�h�|h��*��=�̰=�HsG)�(� ��߳�j�<	�gn��Tg����`�
k�F�����N�l_^�ӊ�)�j��%�9�}*���):$@�^:7�*s���!��σU�N� @�$X[�ԗQBc��2�����؏����G>��le�
���bIq�	]�*ݩw�7q�&�3h��=#C
���ӛ0N��ɲ`3���K�R�
TQ��־0��<ꩶ)Ýu�MZ�TBzbxy�Q"E�*��%�'zաzV���ޣ_���Bme����za��#c^aX�����.����
�3��"̹�
P473���*�~��i)��������CF2
8��y���Ty6�?ܬ�QIDQ�gL|

�?9�f��$������L��Dr�
���[
���|��7�䈩 �1��#f
Ր�%7
^JE]tVna
W��{Z�v��\���f�X^��}@��GF�}��п�
M#ڴ)BpUuN��e	.��l��
�[&L�:�MI���R�i$���A��E�\ق5
�RM���qL���*���1�|2��^�Hy�5���5�S��O�'@����
nw���g���2>T��e
׷��۱%A�
�ϢA(T�vM�us�p�8D6Ci{o�a�"��
%���5�^'$��
M
���Uv.�}-
j�
��O5�$1k�2�
�K
��d�F���w�c&�a�hX<
��1�CC
L�v���g�{4ϕ�8�i5>�a�ȍ�Or
0�@�G2f�����
UG���Gs-�q3��+�(�)�y�@\�_4����9ekͰ��f,ϱ��cg���uO��j�J�
V�rMY�.<�!�d='��@����0f����G˓�i~%��Y�K7=J�} ?Y|���oVt�ء��
s�"v�{ĥ��s��Y
5���m�= N����<�P�W���^ŨH0t�g�ٔ�7\� �O;�P�ϱ"����KͲDst�ޑ��_���jP
䊀���"���U��s�d������졃�X�w���HY�5~��s��'����b9��X�K
�ּi}�}\s�~�L:��#Zq�#�^Y$��DI'�*B:��ҳ;
c�����&����/�+X7�,���~B���g�3�Ӝ�H�=2#:��ۥ]�Em�me%��pL�R�K� _yGc+LK8�LK��'k��x����W$����O
7a�eg�
,v%Q	��-���ʩ���>ҋ�ꩮ]Oӆ4q�4h���Xs!����デ��Ix5>[D`D�1�Ƀ�?�!>�����OI�>�N�W�:��r��R~�.�@����8�2]2ܕ"
R���8W���?��F�
}9N����7ѯ��@:ͷ�ƌ��̗��
��3
+il��Yk�#��n�C?�s+&AE���M�����a��w.�W�p�����Yڅ)5�dt���H%µ'���
cu�@�){��٩\e����"�o���w�f)����8���z��'�,ը�͗��� �l�̑��z�Z���m����GF��%#Jl��8Q��	ez�������jo��D��I�6
��p�������O�T�K�)ˡIGUR-��Y͛�z�w�G��BQ2�A��:�PX�c
78Ώ�'��Q�cYfe|�Q0���\?2<uJu)v^�9���
*Np�G3e����{�ZGG&�
��و�ilm�y�d׺a�%�W������9�aw�X���8a%��;XZ�|6�ˀ'^�çg&�MԮ��?��k��bT/�<�{
�{��l������GBW��q��y�!ln����%�dU�
���:K�]
7Ru���3x��{�A[�-j�f�o�p�x�U�w����j�k�Q���4� �����m
����6���JW� RGKau
�R� [...]
O`v6:@�Zo�W#Kz/�M�ô��RT��������L��d�:%o��b�X��/Q�!5&߃~��eɑ�I����:p�ȳn�uRH�#t`�6~����$
+��T���R*4&Bz/��(�:���J�R�U;d5D�i�t�c�g�`�5b'E�
�n:�0O�'�`W�
�+@�ɞS�^;XXӮ S����ڌ	��*�gX[���q.Z�-���=V��d��+8U�ϣ�^�:aew�j M�`X��α�w�`T"y�P�o������`�T�U�H�|X��;�
(�b
Z��W�1W♱�7Hg
�=/
5ϼj�T?<l~�A
ᮃo�,D���c���J�2�a�Kn\E���׾�M4�t7��
+
��,��ԽE���=A%��:��u�'�r���\�
p�Vk�d��L_
bFkɽ
��|d�c��9�>�0�;N#���gV�H_
_4p�~*Kk���禳�ޞE�L�}ppV�(à7ouIKK
n
[:��[;���BQ,2
��/�/ʤ��tPS�BQj���I�/�6�ʱ�
5��Nb�{�;G��g�f3[YT%KSw6=<l8���[i�V�X� �ɣYwR�Ūl�6���6�[�5�ÉD��`��J�>zUp��C:*F�X"�

�>��	ABJ'�+���5�m��^�� �~U)�p�$�{�_o��M3�g_�0
< �|D
�}N�㩗(�>�����F��}�R/ᚐ
+��c���k�O���B��ک��=�ⷜ���u�X��[m��/NQK�^��u
[�
��eMX�^E����i�D��$o��zU���gv�^��xJ�b&�I��
��co��硋E?��%����Nm��ۤ3����<%�i�!��b��a|-�!��my
����N���=$��
+���,\7QmJ��َ֐梖�
+��嘆	��Ƶ74V������eN�k�PJI
Y[[	����}A뾖w=r��F�W��aX��4�H���w� 1`�r�̸�Ÿ�j8��Ȧ� G�_�M���/τEl�UT
�����"8�r܃��5�7XP;{��^@Ǫ�
�q��A��oO�r��ߪG���9	�
�-�=��%�[/�O�x�,B�qbB|���	���kʮ�'O��Uk��5��6
j���W�$l��i?�N�]	�T쀋�i"&��X5�
����
��d�t~�Hr��
+��0o�vs�?
!�@.���<[a����V�Z���;
��C.���^�]KC'׉_�U��C_�a\�_0?-X
+t������
J�� �4���4�epD�
�� u�j����b�(��tI���H�4�Q���W3|_��S>�*:���"�T�%=
&ZkڜV�j�M�|�oi�����	�Ӫe%O�P���{O��e5E�+��d%~/!A�L�\�Ӈ��pZ�2N��ɷ
����>1��z�\iz*�id� �C��_q�+��?��3�;����V7@�Q��X!
�
22�҆I<
N���@�P�o��l̆f>���7�&5�i�
�I
֟��Y�#~]wb-����o�a�� �91M�L(�
'�K����z�|�_�곈��$auM�gq\�
��*� JT�ԧ��7㲆�UV[��;�<2�ao��
�k��jv��>'����g�3���]���IuF������i>G��YY���ك�"�0��ߠc������� 'F�$��a�T�	5Ϊ�
�31w/?�#;���<��Yl�g�?E��g�`-a�T}�0�
��~`t�����ҵ*��wD�%w���(v��,��6��
�p��`��h����|I��dE��[��E�����
vc\/�q�>$;��Xm�<W��nU��z~R)�e&�(��\���a�� ���2�'�
����bk�3��!b�WN\�[\b��[L�.�Ő=$nnME��S�e|���
����%C=��?ٚ0`��l�KK�?
�>�E��>�ed��? ���"o" ��
/��<��N���5�����P�$�
Q_Oq�X
,�'4�ƻ-chx?.�޽r�ngq�?�1�������1��
�jő��n

�o��DU�
CH��������-XX�ԥ����X�	�7��L�a_��X,|/�k
'{��?�_}��u<��Æ
+
m��#��B6�j7}e�	�+~������at�a6�j��Nǐ\�:��Nr���F[:WQ�� JN��ѧy$r��[��ޒ�е\@A�������3���_Sa�=
��55~�A���X���jk%�7 |Fr������ᢁTL�M�ԉ�k���^�B���LZ�D��MF�ޚ����5_q
�ǟGSmj|x����O��:!9�2>����Ț&�g:��D{�b8���|��e�b�qEi����筒2�o�I��xY9}
���`�4r�#�rP�_�$�z��'/;L<�;�g�
�*|�1@��� ��f��9};I�V��[�d��!Q!fh�D
���7�9�~�OyD�g�Ul�d�Tm�+�1�X	�H&�$�5*4~v�P
��@�T�ztl:u&SO��}�(��.�*N�Kɺ�(Y�ԵV�+I6�^��8NQ��>�ނm]��2��x
��iWg���J/���„��^9v��J�Љ�<BP���]xۊB|L�9�R4F
�;	���r [...]
+A$dw8�v�Ŋ6;^�}ſ+��r��>jԤ��|1S?�
�i��,�钾XW2��J�r��;��J�(�
f�%U�`��C���O�@��� ��S+�f��t�ҙ�ilٹ}p��D�uT�:
��d
v�4��(O�u�6�M:�/��[T�q� ����QtW�_����k�?���kKTC�0�^��T�67S�r7_�&����ω쨀e��Fn���e�m�`h6�Q��%4�s�&��k�g
:�:�"��{�4�6��l�v
+��mo����^n�qn�E� �,�dk��}�
���X��V
��ٕ���)q��@���a�f)�a�Hg�>
.��s��Ti���J��s¼C:�9=Zy��[̚�,�Q�S+��G���OҢ�d��8.�fim��7G���6)*v=�t���|;WP��E9�-�~��q�=�-������ʩy��ihr���T-�N��%���$����Q����v��$�d7�E�H��=�S����{s\m�N�G}�%�}�j�Fr~�L��\U�v����)>��]+7�O�"���o�i� d��"��]����A�bqf��$)���@��qЈ�zꪉ9�7�?�)t�6|mQ�o|��H�*$,�9ފ��ʈLM{�t4Ϙ�}Ov�O5f;��I�y[0�M!ʢ�1Z�
_y�:�B�2n^��R��țd�w�9�Brcx�λf����u�G��F��_T�ڱF�'��y=��۲�c;��y������=���]ջ6e	T�$��|q��b
I���RRG��Z��
�P
98�.20�Ӽ����O�1�n�,�y9���N�1}>��l��*���x�z��vq4�:�ELR#�7�=�u�s�<�n�������|�Sڰ�c���޽������?�!���NXOu�vO
J�����Ա�ǐz�S�u�/�W�5�dv�H���p��	�+w;�
)�_ӥtiK�?������hԲҟ�)Ivjw�
+�z��6^���`�63�&Iq��i'8;�#׼�$w1��v���|L?�}�x�E«L*�?h�~6�i]�mф;)#�12����,��T(NӉK��� ��.i�F�vML5�d
-deK赤U6��������aB��+Y��d{����r�,�#́?�xG�Ag�42�m>`�V�
���W<�R�l;=p�^S�Nhʐ�U�|��k�/(�f
�h�
+��B;_�h�yk&�>s����ʏ=���I	C+�rK�I��|��F9^�">���I䊅��IM�F��s
k��-Z�{���ύ�є��UL�
������+��8ٔ�-���Un�Ye�y��V2�3[����#<�@F�1���
���=]���a�i�iR�f��0
+��O'�<\��>�w��4���3CI2�����5U��χfڤ7�qG;h��v�f�
+�a��i�/k�|���l�^�O�>��v7��3V$��p?���S���Vď�Q;��yRJ��8�����,�Y �|

�vk�M<�yL
�4�멞�`��7c	��h��J+�|.Ջ:�ōѕ1��T[t�Q�≦�ې�唿ͱ��14-N�BI1i-L�W��
�l�8���[�z`�˗x��҅��Crᛱ�P��dYx*�n��Uzc	��x󤟩��|��P�2�V�=�RĨ���0Dr������L�x�b���U�
�	'��L��&��G�>Թ%I���a�C��{�υl�=��Ɔ�����hp{�-2g
��Hot?�O�
�.bz��Eq[���-���,��<Հ�X��
8Q�9 �p���5�0��hW��b�B�I�3D�V�l̻o����wI*X�x�fm����+����0�n
+=i(�?s�Z!��V=�Q'�1dO��
�2ԕ�.���2���2�E�������{���{�}�*,ZU@�v��A����+g���"'����=}��C�K�n�<���͵O�4_�
�W{0�`�`��?m
���P1�-pЋi>����3�S�XM�g@ַ�R��J�=�2���O��n�R���>W�
+)���C��I��gUC���(�C���ݎ8 �0�'l����HE��k����`zDZn�0�Y&:E��.���X޴�../Z�	��_pK�
�l3n�K�����i(�xO9N�vfq��jr�<����z�.k����sq�2��q�89<Z�D��q�v�d��k�l�K��Q�h��b��琷�LEq������d�\��	w¡�B*�}˷�$	�C
r�+d�����'>k��7��Y�
+7
*U�3��#W�=�D�����Μ�3�   7ז2f%w+G���\e{9r�djI��@C�d�8j�-�
�OS�+$�ޘs$�È嘣DD�%�?���>��|f�d�¥*�%%F��4W��;�~���M����R1�
�9N����VY$���,L��JL���+�{�f�`�Q[���i�I���]��T���\=��gגOe�9��?��篒e�Kv����賵U{�'��P�4�;��2|�Av
'-�SvU�)��__�?�S�'�lc���0`B%E
�)��E��I'��)��J99��by��
�`�f�dn_!�O	*�A_V/i�������G���پ���5x�����}�
���?�5�o�_�"��wd[n�3�#��ƀ��"��^��=�ja�_�	��S򭇩0ׅg[���
�4
-�
���=u]j|8Z��^�G~�U/@�j���ڔ�����w�^S��#X���D���1FÄ��l�<�Ǒy��_��r?Ҹb�&$S��CU
�e�(�5{{j�=bÏ��*�a�ŏ��g�ڙwrn�L��@�e�K��˨�~T�2
+gT��r��f
+yѓ�8��gpȜ�a
��`R�=i	������𦣠���>y�̆%v:��+�>G�ڞ���,
H!��hƂ��o�,�ȗ{|� %
엠�CP�`��z��8l�ua>卵o� xЦ�I�
���*k-
�|,mo"5��A�����з?�xei����"z?��C�t�+x��ӳ���'��Ҍ\.�ܿ#��Yt��Q5 �(�؋�
^צҌ�?@�ۻs2���0N\��]op�:
8�6�/�]�K}�-��E���c��i�K:z�w5��z[ղ�
�ᭌ䐼ja� 8�������!��������ֆ�Y6�.����a�r�Ny�j�

oMFg!�璾S��5���"��w�S�i=�V��Rv��P��c\+ґi����еuq���h#р���%>v��y�t]0����b�i���iD��Q�:�)[�p�.
�~��t��p��
�rR�
|WD>�����[�/ �����b��2V57������yۦ��s�F���Q���[l�%I�Tw���߶^���Z����087i?��Ƿ}V%j�Ψ�|mW9ls\0U�.Z���F`(��g��>OE�%|��a�M;g�mS�~Bֳ���v�Ø�&ϣ������>|
�r=�'�d�PpSL�P�⸤
�H�nG� �M��E������nNH�`�Z
�w�����z@��H�k��Y'M�)�)n��-�9�|�vM��xqD�����o�J��4�9�2�d��1�P
�<4#�_ѧ�g�i^��r�e��|K]
�6�
'���%Lތ��nT�
;3
�o2#z!Q�K�z���8/��€���^�Dn�jI�5����¬B?�,G;">d$ٛ��ګ����>d����-:J�V�ψA��h�	9�^C?�i��۳̳�xn,�����N�;�i
{�������<�<�ZR'�eB�"��"��I�K
���Y�E!Ƶ�
�Vm:<������	!A��Hb	������endstream
 endobj
-548 0 obj <<
+544 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 0
 /LastChar 127
-/Widths 3529 0 R
-/BaseFont /XNEINT+CMR12
-/FontDescriptor 546 0 R
+/Widths 3806 0 R
+/BaseFont /DWLQMG+CMR12
+/FontDescriptor 542 0 R
 >> endobj
-546 0 obj <<
+542 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -194
-/FontName /XNEINT+CMR12
+/FontName /DWLQMG+CMR12
 /ItalicAngle 0
 /StemV 65
 /XHeight 431
 /FontBBox [-34 -251 988 750]
 /Flags 4
-/CharSet (/Gamma/Theta/Lambda/Phi/Psi/ff/fi/fl/ffi/macron/exclam/quotedblright/numbersign/percent/ampersand/quoteright/parenleft/parenright/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/equal/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/quotedblleft/bracketright/circumflex/quoteleft/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/endash/emdash/tilde/dieresis)
-/FontFile 547 0 R
+/CharSet (/Gamma/Theta/Lambda/Phi/Psi/ff/fi/fl/ffi/macron/exclam/quotedblright/numbersign/dollar/percent/ampersand/quoteright/parenleft/parenright/asterisk/plus/comma/hyphen/period/slash/zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon/equal/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/quotedblleft/bracketright/circumflex/quoteleft/a/b/c/d/e/f/g/h/i/j/k/l/m/n/o/p/q/r/s/t/u/v/w/x/y/z/endash/emdash/tilde/dieresis)
+/FontFile 543 0 R
 >> endobj
-3529 0 obj
-[612 0 762 680 0 0 0 0 707 762 0 571 544 544 816 0 0 0 0 0 0 0 490 0 0 0 0 0 0 0 0 0 0 272 490 816 0 816 762 272 381 381 0 762 272 326 272 490 490 490 490 490 490 490 490 490 490 490 272 272 0 762 0 462 762 734 693 707 748 666 639 768 734 353 503 761 612 897 734 762 666 762 721 544 707 734 734 1006 734 734 598 272 490 272 490 0 272 490 544 435 544 435 299 490 544 272 299 517 272 816 544 490 544 517 381 386 381 544 517 707 517 517 435 490 979 0 490 490 ]
+3806 0 obj
+[612 0 762 680 0 0 0 0 707 762 0 571 544 544 816 0 0 0 0 0 0 0 490 0 0 0 0 0 0 0 0 0 0 272 490 816 490 816 762 272 381 381 490 762 272 326 272 490 490 490 490 490 490 490 490 490 490 490 272 272 0 762 0 462 762 734 693 707 748 666 639 768 734 353 503 761 612 897 734 762 666 762 721 544 707 734 734 1006 734 734 598 272 490 272 490 0 272 490 544 435 544 435 299 490 544 272 299 517 272 816 544 490 544 517 381 386 381 544 517 707 517 517 435 490 979 0 490 490 ]
 endobj
-544 0 obj <<
+540 0 obj <<
 /Length1 1065
 /Length2 4138
 /Length3 532
@@ -23932,618 +54993,638 @@ endobj
 /Filter /FlateDecode
 >>
 stream
-x��gXk��Az��((�
B��H
�#!	
	%�DzE��A�*���tAD�4����={��ٟ���ڙ?s����y�o�kx����
R���KIHA -#3)@J
��A�p(,F�CB )%%)@�H�)y��"DZ$ ha��>(7w
 �%�H��D���0
`ù#=�p0��QH
Q�@���
�����DH��� 
-�\�n(
H�!}�+P�+��{���C���M�d�" �"�A�$i�%��$;��0�oq]<m
��)�sH�-
�D���Y�����>���������7#$���wVC��74 �B��H����0�/�W
�A��yn�,Hj�ڈ����rP
-�� z�����K�f�t|P�
,K�
���O��ZK�"P򁐓`>>0"�|2�$H(
I ��aI	
Gn�3	\�>���)�Hz��)�9�+,$q��߬H±h��
�'7��C�2���?�D��M
-�$�7�������$��4 ���e��@9@��M��yU�HV�������H�����������@�g��(MV&����횚XB���
 .M����
� ��_�,1(o<R_�<e0XAI�W���Abp��3���]Q��D�p��',\9�#��FQ�N^o1�(��[m�qec���C����No��
-�ݒ�l'fify���|c�M�uW¼�g��g�_�e�~߈8��G�X`~Y�qsQ�Ҥo�]Q�m~[�j�B.TX�b��3/E��_USF�����}�etT��
���t���1��)I�c=�
��ub�k�z<�n
}N��U:��\G�� UV>�t9&5�}�@�H��S"�u_:
"���

-ҿ�ᝂC~P�*;��Amtv�'�Zi���ɒ
-\=����1�ݻ���\;*�f˗��.W���޹�y����d�o玜�1�����T5;HGl�dN�-�z4���E酥��� %EG3����Z}<�E��N���"�']�:�����)
�k��驤�&�l>V
�W.܈
J�p�}�p���bm�O_]�}!�
�V��랶�7(\zͦ��&9�<�_���x~��S��n#*fӜy�E�
%���T��Ǐ-�!C��L~�:m0^̪��i�����f	�E�Y����2
�?Dd�
�U�1_d
-��|���wdIe7 ���
�����|���|=K�B��K�N
-
g
-Ԋ>�pKg,��EӍJ�a����o�k��K��Vq��u2�b��s�q�q5eM��S�?��?a�z/|Xc��/r&�6��BX�)Jw�����k��x��5��B)�x?*�{���g���c�ʡPw�s�7���U$G7�T�w[)�{�S9��ǂ)�i��֚���Q�B��!�TJ��n�'?�(��yq�{k�晵� ��э�����N��`��]�uIy��Q�i?��m����N�O��b.2�p뤃>��!�-���Gk��i���j���m'ul9'��}��n��$���zK�V��_��l��T�����
-|u,��'iYe�Y
][����
�8g]28�G��`j�P��#']�
T���3�<k��
�w
)
���1
3Ta���~
c|�ŗ�E��2k �ms�KO�җN���S��K��
��6fr��۳�7gڅR�k���h2�1�,������u�	=��X�ʢ't<��X��x�ɒ�,ܼ�k1Ҧ�z�d����5����>t�!u.�y��ן_����c�f��?
��A���1��=��g
���IJ#�Imz!bh%�+j�zR�} ׵�ZR���KS��$���)V�	� �vA,<��u��G��R
.���
-�>H�-N��}��Rz[� %4<�̚�9j���8C��
-���1�o1[9���!���$�Y��o�h@��L�2)�y�+�䊞
r��M*~�{��L�|���J��Ј�}PU3�&,�e��JBUt�j-H�!�/_�xs+g�Hn(}�k���7_��������!!�yW|���2e�]qW�!�K"p.��l� ����"��vr2\7�q%���$��v�6!UX�]��(Ȥ^*�0��6XϠ4���0���R������
�`/�ع<�E�q�|�͇�M���|�����$'4����Ϫ�jw��IĐe�9�Z}�5�~�щ����Qy9
�>Zbn�5sؠ������Ch{�K�����,qzf�\��!�;���h�����
Z�Să�t��db�`�W����=Y�{�#C��J�M�KVÇ���d.	%����#K/��RH�[>!��m߱�
���G'�Y��N:�(�2��B/(RҰb��lqC�]y>}
IY����/]ڌ�x��c�b�ȝ]��y��w�$���2�~y�k(con��n�Y[
�|�=��eF*IՀ�4�	k|[~���oF�R`W8��7!΅��
��
�zx�£�#��JJ�TQݑ��w��&;�����F-�7�M[w[�u���7}�0d
(�$�L2�g�8-��{E%ӡ�=�rT
 �Nݜ�<��~y�n��DKr{,�[ҙ#T8�sg)��$��7�LղwI�h�u ��P���xv����/GZ;�
V�G�'
�������*�B��
{vh� %����u��v���tȡ��3��l������_����Fo%G��,W��lo
-��=
�����Y�n'�mh��潜!U3ܑ���]J��
-�Sa+�P�{y�c
-Bk'uS����Xde�
$��&d*w��mH`�I�י�	�
)U
�侃�a���k��3���қ9R

�uU��`�7����V�����We��C�~�dn=�l�����3G<�Ϭ�5�W���8%X�'�c�5_+��8o%��m��l��x�=Z_��؁��).VV7�O��=^��5/�h|ã�t
�>�;����R��&����Ò���<+k�xW��{���.�(���'�_S2�S�-ŶQ�*+(ʜ�9�?u��opv��'�u;<�}v]ئWM(c�Q ���QRKf�
��N
ٮ
��tX��L�]�-���[����*L
=4����
b�#R5���X�m�6�ub����K�SE抷����8ՍB
�_4<?�8D���Y*~�������ї�ds�Q|���N���^T�U�2�yE�&!���ظ���#�{'Ck�ش���?j�I�ǐ�~�̅9
���2�������r��.�؎9v��b�!��
�q.~<#�CX���+[�̛�GԻbu1ߒ+�
��5yC�x�d���oo�s�:�嶳J,�ZGl�����]�گ�2Vx|lo�K���� �_i�{U�2�(�h����Ro��6J7����u��
�`�B|�tb�,����ɝ�o��wl����b��,L{�;�I/u�섷1�cm�j� �웼����

�w��x)ѷٳ���$DW�g�U�
�`�uߣE���.�-����d:�oA��(�
����B���閬Z��������e���/A��#�b�r�<ist�|H<~.D�uk��㛦��t"{�
7I��`_�o�U����
-�j<]�ؕ^���-�nJl�6O��MȖ�N�f���
-
|E}ߙUc��8�f^�XCL�d�F�C�$�K�y��"p?��Zf��U�q��JO
�����wѭ�o,82p
GSBYw�u�\��#{mS\����i��Z�,\�y
(�s��
�qGqff~�l�ra��W��F
L��D�
���${۴Z��F���ԕH��c�
ze�>��%��\Y�L�R�R�
-�*������^�
�N?��]W=N;�q�@�[QW��n���L �V���S��3(�J�u�
�F�m=;
ʫ<o�
Z��7��]�W!�M�q
-��Z��ކ
�a�
 �p!��)�$�@�ȥ=im���x�{w��9��A>��D5c�&F�&�J�;
�V�Y^cʗ�#"C�'"�9��7�E�#&׃��ڢG'{��5�$���+}��s��s�C ���
�Lc����ǂ�-�i���=��n/{W� ��b�֓'��-I��
��1��+�*��L��q=��(߾�7�YN�!��f
0�館�ҥ�x
=�H��֌�8u������������H�l��?�сM�i����������Y����֬:R���v�7@�ъ��
�z�s:>���M�NS����
���m�΅(�'���/]0�}r�5§�Mƫ޽��ua���$7�|�;
?jLW����D��s�`v����bᱏr7����_�t�ə
N�J/l�`�LD�ȧ�\��6�����*,X
��n��g�6rL/
P+{�cg���L����2̫ȑ&�ϫ��N�
; Ž~I�����]6�=�弦�h�|���)?x�\U�u�'��[b�m�x�e�	>��}s��`^��Ɉa�� �̣�`jњ����Z�k��{�R֘:gq/(8f�' �ip=Ĺ����|�������"��	�C�"��cj�.<n=*��6��b��%���yƨj!��1�� �E~?�F�������?����60騧.j���qxqX�F�h��M��ˋ��]�M�T˫v���*�c%�6��jg�o
����'5VR��I��&����b>���S���
K�r.��w����u<ܙ3��4(g��p��j����^2nTsM��Q�]� [...]
-�־("��J��R��]��Msj�]�`�.��p��}D�׉��;�)#�ȼ��<uAr�Mʝ�6��� $�HJ��
�]���bl�^���?! G#a>8�'���? 9��Hendstream
+x��gXk��AzQ���
�	��HGB�
	I�`H(	$қ (R�*�ҋ�HGA�IS�H���ѳ�����k���3�[�����F�f!��Ĺ��qX����
�11�Qd�� !!
_
��au�x�QQ���,�Q��)Cd�AB�Λ�v���:b?�� -/�/�&p�ʋ���c 

�“� -
0������P��(�HF@�x��Ƃ�2ĺ� ���H���)��� J1)P,"qX
	@��@�P
e-�������0(����!��4�
�!�g�˛�G�&8$���R�_�LPH4���YC<
�Fha�1( �W�&��04
���1~�_q�o���� mcof�wQ�������X�%��՟ſX�7S��&`)0X�RH��~r��ZzX��R��" ����@��A! P@c�("�"R
KKaqxJ
@�I0����N9@ڇ��L��0(�_a0 ���fe@��P6��"�Q�R��-�!J��oR� [...]
+�e(�b�@�2���}�@����Hy�?����R<�FY�2���m���%�� IY�
U� %y���Zg�E�P���)��J*
+����/
+����QN��솦�?��B��>��Q���׊B��{
ӉSk��$B+�^
�
L��<�0�+��)��~l�n�7`��/�.ȬK9�'1��`��e����ܶkwMH�����y֗�7�M{�����f�����Du-g>�Q5:�W6fF)*����X�D�
����)���
8��L;�
��X+1���#���3�
\fp��q�.���dp˖a��ߧ
�U8<%���d �۸�a�0��9$����c���WFf���h��m��.�!4�_@'�<�`o��"\�
+�V+0_��3x�q��ب��ۭQǞ9LN��v��Y�e^�Vp���ve��l����Fļ��s�L_�,n�O�(;�s4?.N��3$`_$l�\2
*|ҩޯ�K8����
+�J�H#�55d���׿$p-�_$Y�"�������5���E LQ�@j'Х���?� ��Wyͮ���!=
�4RP��:7^�%�W�

�mʺ�l�y���p�4:P��G�����	�V8v�I���N3G�Ut^����������A��["�_�i�YϳIO����?�����Og�\��;V\�N�t��D�R&��
��J��
5�>��B��-
>E�S
F*3�li�So�$�w9��FF]��^�r�]����ե�aI�e?�e?�Lz>���(���x� '�(�vy������Ln54�è��>���E�s�����kcb5�`0�-T��E�g�L�oK%�{�SߡG©�)��6ڂ�S�{"���4*�'�I�܃(��|���UY���t���V��TBi^���D�)󊾠�Q����^������3ǜ�����Ǟg~���� {h�G4h]��
��K�
1>��@;���m+�}�%E͵��U��`qT��[�U���g{��)��̰ɠWG�������E�1����Z�;�k�u?��\�f�J�
+�U>�@��N��3����;7P����i�Qc5��x�ױ�/�T.��[mY�_x2��x�����'�Zdָ4�Q�
-ߞ�r�9�&”�,��`�_t�.k	K��:o����]�
7PL�W^�.zB����M���H 
/>u���|%6R�
RG�"�ܥ�а�K�Mܧ�7m�~����h &Vc��&���,��
���=�u��>h�V
J��j*��U �
&Ǫ&T�r_I�!7�-�6��J3��
+��d�
��n%"
]u�8z��,3��h�)'�DZㅋ�:�,f�f�S�"b�m��7��I2U���C���
1���˘��z��\���ږ��z�����J����p���AW8Ä��އ��
���N,�C�*����/��+cz�k@:����G�Z�b��*A
?�eA��銏�m���
�{L�9�ے��%ԩ�
�;"�y]��A�9U�{��gW攩uSR�	
�I�&������i���
+��A�u2i�q|p!FM���v�����嚠��������GI���!
r�{�J�3?5����{����`b��!����1�#ϩ�1��-���ά��Fx����Iy=6��^����
+IE
b
$�/d��{r�����s�
���<
#
�����qO����1�}�����_r�fy�u��[5*
֣rʬ�x%b���NQ��R���}�6����
+�4��*D��
���asj[L��ezބ
��+h�&�LMdž��Ǘ^u���u8u�n}{�lI��
���÷v�w����.(����ͺ�卾����e��g]Md�!l�tbp_t�9�8M
���*��m���Ϟ9�S�IR���.��4ެv���_��y��y�t�)..UGwEA���j�����I��tP6kY�Nj������}Ô��j��;���9�p��
�€����IX#�<2y}���f}�ũ۝
�R�)mq�oɧ�9M�
.
%|�W����0�T��&_U���<2�4
�]&p>�U|9�������8=�,أ��3V��lߵ�����χ�T���պ�Ȁ�<�*ܖ��^W� ��^��c�Vz���RE������.^����E�V�����M���2�C�YQ m����
�p+	5�Ǚj���>s�GC���e�ku�^
��(�=s�D�W�N�
{�
+
@6�b
:��zA��%��Y<��c���~"ֵ�t�P��/=YÏc �n��lwf
YӋ�
]�{+m>�b���
ϫ;!��~j��!o�3�-m��2{.)��qݸ�)��*���YK/�c�9-�I't���_�(�/½z����]��]��xH��C:���7
��uNr=7A��-l)���d
�p����J�e����33��b�t��uWT,���q�4�J�r���N^6�����eۊ��Y���������j�U4R��B}��C�*v�
��RE�VBgJ�	�k���C�-:�
i�ROpfT��.h��&遹��K��E�7�D�k�4MB��^�??�0H���^"y�����ٛ�l{
�����ۃ��뽸R�
u�޲]b*ͱ�1yyՇ�w��U
+��
�C?���h�R�~�1��s=[�:d�>y
������C�=k�з���W�:c܂fv�����䑗6?f[4N
kv��c��T\�1h�e�^�i1�.���5�P}t�}{�T���l[��3����W�	Uztdw�[�s?�I�{u���8�x�ٲІ��Dvjw2	�,������<a����̖U�')5W�7�ذ���Z�ɧ�J5E���O��
�8�q(�#]�*�@��
|���SLLV���x�0�:p8�,'�T�q�Ԗ��`��إG���*�)����l6fhIXn
++p�d)�v�Tsv��U���RA�e���ޗ�4��}	��o�,�_2���8	�a�Fw��و�S$������M��g 0�?�л�&|�aJH�	D3�!���̨��Ŋv5&��Z� g����K�&�3�*E%N~������q�`<A7's�>6s"f=رO쏣�:HL
���n5������S����r�vۻ��7������I���[��n?J
P=v��
�
�AC��4-�n9��Ԥ٫��6Ø�$+��V�v��ؙ�`
�aG3p
)�&�����]z��`���yڊ�;�q�[�F=ro^۔HT-�,Q�njr��OFX�&�9�
N��_e��.��J����l�ҥ��X�0�}t:��H
t+���x�4Z�Bq�O��d��{�Iu���MaK��zN�k�
+䢩.^I��}K���P��"\��z�&{�$�1�*jqWVW�Ps*��U ��@��/�X��b.�ƪۆ[���B�bË�ʪ����r�䈌������*��ȉ�`���֘���pC�[I�wu*nm,�m��D��>�1ךm$��1�mi
$��4s8��V/
�>����ɻ;�2$Z�=l�Ǎ��tSo�]��?,ph��nR�`�l�]�
�+�h�l�
�N=4`�1'�?J[7�9m�ӯ8o/�/�1f~(bvd�xZ20��j*���|�\v
+�ǧ�U��T��Y�m�u�n�22jݳN����W�#��S��a��k�s�[3��F�	I�wK�;O.�D�� ��y�y���
��$NpY؁F�veF�
E���y���2�t�D���,:�QẳG�ڋ�x���������MSq�K���q�l�IƵ!)ٳ�'��X7n
+�T�8e�j�����7ъ�\"��{��������6����&F���_�$��l��/���p]QM2b=w\�L<R��V�>���#��>O:W�6��z��)�Q8�U�x��d�F��F�x��]�=�C�]6l���7

��X�4$���n��{n:�M�dJ��s��nچ`�Q4��5��ZK�s$���_�v��%9b?2?�
QO'�
<��
�� ��¤�>�,����g�_��%v� ġ|����4�T���<D���$t��Mư��>��c傕�ˁv����������_?���j�
+TN^��7�4w�
��-!�֜��H�;���y[g�܏G#\��O���/�bX���v�[�ʝf��,%:�s`�d�?zl�0�+��ϖ�n�?�������7D�@q�c
�34��o��A�tϋI�Qw�Vy4�i(�Н\n�B%�8E����_<wY��q�2��y�L*����H��^u�� �-33�H5�Sr�C=g�跿@����
���'����^���]endstream
 endobj
-545 0 obj <<
+541 0 obj <<
 /Type /Font
 /Subtype /Type1
-/Encoding 3492 0 R
+/Encoding 3773 0 R
 /FirstChar 39
 /LastChar 121
-/Widths 3530 0 R
-/BaseFont /BMKILX+CMR17
-/FontDescriptor 543 0 R
+/Widths 3807 0 R
+/BaseFont /WZQMEH+CMR17
+/FontDescriptor 539 0 R
 >> endobj
-543 0 obj <<
+539 0 obj <<
 /Ascent 694
 /CapHeight 683
 /Descent -195
-/FontName /BMKILX+CMR17
+/FontName /WZQMEH+CMR17
 /ItalicAngle 0
 /StemV 53
 /XHeight 430
 /FontBBox [-33 -250 945 749]
 /Flags 4
 /CharSet (/quoteright/two/colon/E/S/Z/a/c/e/f/g/i/l/n/o/r/s/t/v/w/y)
-/FontFile 544 0 R
+/FontFile 540 0 R
 >> endobj
-3530 0 obj
+3807 0 obj
 [250 0 0 0 0 0 0 0 0 0 0 459 0 0 0 0 0 0 0 250 0 0 0 0 0 0 0 0 0 0 628 0 0 0 0 0 0 0 0 0 0 0 0 0 511 0 0 0 0 0 0 563 0 0 0 0 0 0 459 0 406 0 406 276 459 0 250 0 0 250 0 511 459 0 0 354 359 354 0 485 668 0 485 ]
 endobj
-558 0 obj <<
+554 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3531 0 R
-/Kids [538 0 R 560 0 R 595 0 R 634 0 R 686 0 R 727 0 R]
+/Parent 3808 0 R
+/Kids [534 0 R 556 0 R 591 0 R 630 0 R 683 0 R 723 0 R]
 >> endobj
-739 0 obj <<
+735 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3531 0 R
-/Kids [734 0 R 741 0 R 756 0 R 770 0 R 779 0 R 783 0 R]
+/Parent 3808 0 R
+/Kids [730 0 R 737 0 R 752 0 R 766 0 R 775 0 R 779 0 R]
 >> endobj
-814 0 obj <<
+810 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3531 0 R
-/Kids [795 0 R 816 0 R 832 0 R 848 0 R 860 0 R 876 0 R]
+/Parent 3808 0 R
+/Kids [791 0 R 812 0 R 828 0 R 844 0 R 856 0 R 872 0 R]
 >> endobj
-899 0 obj <<
+895 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3531 0 R
-/Kids [892 0 R 901 0 R 916 0 R 928 0 R 941 0 R 953 0 R]
+/Parent 3808 0 R
+/Kids [888 0 R 897 0 R 912 0 R 923 0 R 936 0 R 948 0 R]
 >> endobj
-964 0 obj <<
+959 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3531 0 R
-/Kids [960 0 R 966 0 R 977 0 R 981 0 R 985 0 R 991 0 R]
+/Parent 3808 0 R
+/Kids [955 0 R 961 0 R 972 0 R 976 0 R 980 0 R 986 0 R]
 >> endobj
-1018 0 obj <<
+1013 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3531 0 R
-/Kids [1001 0 R 1020 0 R 1036 0 R 1043 0 R 1062 0 R 1086 0 R]
+/Parent 3808 0 R
+/Kids [996 0 R 1015 0 R 1031 0 R 1038 0 R 1057 0 R 1081 0 R]
 >> endobj
-1109 0 obj <<
+1104 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3532 0 R
-/Kids [1096 0 R 1111 0 R 1129 0 R 1149 0 R 1180 0 R 1204 0 R]
+/Parent 3809 0 R
+/Kids [1091 0 R 1106 0 R 1124 0 R 1144 0 R 1175 0 R 1199 0 R]
 >> endobj
-1232 0 obj <<
+1227 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3532 0 R
-/Kids [1229 0 R 1234 0 R 1241 0 R 1252 0 R 1256 0 R 1260 0 R]
+/Parent 3809 0 R
+/Kids [1224 0 R 1229 0 R 1236 0 R 1247 0 R 1251 0 R 1255 0 R]
 >> endobj
-1268 0 obj <<
+1263 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3532 0 R
-/Kids [1265 0 R 1280 0 R 1294 0 R 1312 0 R 1329 0 R 1343 0 R]
+/Parent 3809 0 R
+/Kids [1260 0 R 1275 0 R 1289 0 R 1307 0 R 1324 0 R 1338 0 R]
 >> endobj
-1353 0 obj <<
+1348 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3532 0 R
-/Kids [1347 0 R 1355 0 R 1363 0 R 1372 0 R 1378 0 R 1382 0 R]
+/Parent 3809 0 R
+/Kids [1342 0 R 1350 0 R 1358 0 R 1367 0 R 1373 0 R 1377 0 R]
 >> endobj
-1390 0 obj <<
+1385 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3532 0 R
-/Kids [1387 0 R 1392 0 R 1396 0 R 1401 0 R 1408 0 R 1414 0 R]
+/Parent 3809 0 R
+/Kids [1382 0 R 1387 0 R 1391 0 R 1396 0 R 1403 0 R 1409 0 R]
 >> endobj
-1426 0 obj <<
+1421 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3532 0 R
-/Kids [1418 0 R 1428 0 R 1434 0 R 1442 0 R 1449 0 R 1454 0 R]
+/Parent 3809 0 R
+/Kids [1413 0 R 1423 0 R 1429 0 R 1437 0 R 1444 0 R 1449 0 R]
 >> endobj
-1465 0 obj <<
+1460 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3533 0 R
-/Kids [1461 0 R 1467 0 R 1478 0 R 1485 0 R 1497 0 R 1501 0 R]
+/Parent 3810 0 R
+/Kids [1456 0 R 1462 0 R 1473 0 R 1480 0 R 1492 0 R 1496 0 R]
 >> endobj
-1521 0 obj <<
+1516 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3533 0 R
-/Kids [1505 0 R 1524 0 R 1531 0 R 1541 0 R 1548 0 R 1559 0 R]
+/Parent 3810 0 R
+/Kids [1500 0 R 1519 0 R 1526 0 R 1536 0 R 1543 0 R 1554 0 R]
 >> endobj
-1569 0 obj <<
+1564 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3533 0 R
-/Kids [1564 0 R 1571 0 R 1581 0 R 1590 0 R 1594 0 R 1598 0 R]
+/Parent 3810 0 R
+/Kids [1559 0 R 1566 0 R 1576 0 R 1585 0 R 1589 0 R 1593 0 R]
 >> endobj
-1636 0 obj <<
+1631 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3533 0 R
-/Kids [1605 0 R 1638 0 R 1652 0 R 1662 0 R 1669 0 R 1676 0 R]
+/Parent 3810 0 R
+/Kids [1600 0 R 1633 0 R 1647 0 R 1657 0 R 1664 0 R 1673 0 R]
 >> endobj
-1692 0 obj <<
+1683 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3533 0 R
-/Kids [1686 0 R 1694 0 R 1699 0 R 1711 0 R 1721 0 R 1728 0 R]
+/Parent 3810 0 R
+/Kids [1677 0 R 1685 0 R 1690 0 R 1700 0 R 1707 0 R 1712 0 R]
 >> endobj
-1744 0 obj <<
+1730 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3533 0 R
-/Kids [1733 0 R 1746 0 R 1753 0 R 1763 0 R 1771 0 R 1779 0 R]
+/Parent 3810 0 R
+/Kids [1719 0 R 1732 0 R 1742 0 R 1750 0 R 1758 0 R 1774 0 R]
 >> endobj
-1801 0 obj <<
+1786 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3534 0 R
-/Kids [1795 0 R 1803 0 R 1810 0 R 1816 0 R 1826 0 R 1833 0 R]
+/Parent 3811 0 R
+/Kids [1781 0 R 1789 0 R 1795 0 R 1805 0 R 1812 0 R 1817 0 R]
 >> endobj
-1841 0 obj <<
+1832 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3534 0 R
-/Kids [1838 0 R 1843 0 R 1854 0 R 1864 0 R 1874 0 R 1881 0 R]
+/Parent 3811 0 R
+/Kids [1821 0 R 1834 0 R 1846 0 R 1856 0 R 1863 0 R 1870 0 R]
 >> endobj
-1897 0 obj <<
+1885 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3534 0 R
-/Kids [1888 0 R 1899 0 R 1906 0 R 1915 0 R 1928 0 R 1936 0 R]
+/Parent 3811 0 R
+/Kids [1879 0 R 1887 0 R 1896 0 R 1907 0 R 1915 0 R 1919 0 R]
 >> endobj
-1948 0 obj <<
+1943 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3534 0 R
-/Kids [1940 0 R 1951 0 R 1964 0 R 1970 0 R 1978 0 R 1984 0 R]
+/Parent 3811 0 R
+/Kids [1929 0 R 1947 0 R 1958 0 R 1970 0 R 1981 0 R 1988 0 R]
 >> endobj
-1996 0 obj <<
+1998 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3534 0 R
-/Kids [1989 0 R 1998 0 R 2003 0 R 2010 0 R 2015 0 R 2020 0 R]
+/Parent 3811 0 R
+/Kids [1994 0 R 2000 0 R 2009 0 R 2013 0 R 2025 0 R 2037 0 R]
 >> endobj
-2031 0 obj <<
+2047 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3534 0 R
-/Kids [2026 0 R 2033 0 R 2040 0 R 2047 0 R 2052 0 R 2057 0 R]
+/Parent 3811 0 R
+/Kids [2043 0 R 2049 0 R 2053 0 R 2059 0 R 2066 0 R 2072 0 R]
 >> endobj
-2066 0 obj <<
+2088 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3535 0 R
-/Kids [2063 0 R 2068 0 R 2077 0 R 2082 0 R 2088 0 R 2093 0 R]
+/Parent 3812 0 R
+/Kids [2084 0 R 2096 0 R 2103 0 R 2107 0 R 2112 0 R 2118 0 R]
 >> endobj
-2102 0 obj <<
+2131 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3535 0 R
-/Kids [2098 0 R 2104 0 R 2113 0 R 2118 0 R 2124 0 R 2129 0 R]
+/Parent 3812 0 R
+/Kids [2127 0 R 2133 0 R 2139 0 R 2144 0 R 2149 0 R 2154 0 R]
 >> endobj
-2138 0 obj <<
+2167 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3535 0 R
-/Kids [2134 0 R 2140 0 R 2148 0 R 2153 0 R 2161 0 R 2167 0 R]
+/Parent 3812 0 R
+/Kids [2163 0 R 2169 0 R 2175 0 R 2180 0 R 2185 0 R 2190 0 R]
 >> endobj
-2184 0 obj <<
+2202 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3535 0 R
-/Kids [2179 0 R 2186 0 R 2194 0 R 2199 0 R 2204 0 R 2213 0 R]
+/Parent 3812 0 R
+/Kids [2198 0 R 2204 0 R 2212 0 R 2218 0 R 2231 0 R 2236 0 R]
 >> endobj
-2223 0 obj <<
+2254 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3535 0 R
-/Kids [2217 0 R 2225 0 R 2231 0 R 2237 0 R 2247 0 R 2251 0 R]
+/Parent 3812 0 R
+/Kids [2247 0 R 2256 0 R 2261 0 R 2266 0 R 2275 0 R 2279 0 R]
 >> endobj
-2262 0 obj <<
+2291 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3535 0 R
-/Kids [2256 0 R 2264 0 R 2269 0 R 2274 0 R 2283 0 R 2287 0 R]
+/Parent 3812 0 R
+/Kids [2286 0 R 2293 0 R 2299 0 R 2310 0 R 2322 0 R 2335 0 R]
 >> endobj
-2298 0 obj <<
+2350 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3536 0 R
-/Kids [2294 0 R 2300 0 R 2306 0 R 2325 0 R 2331 0 R 2336 0 R]
+/Parent 3813 0 R
+/Kids [2341 0 R 2352 0 R 2356 0 R 2361 0 R 2368 0 R 2373 0 R]
 >> endobj
-2344 0 obj <<
+2386 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3536 0 R
-/Kids [2341 0 R 2346 0 R 2354 0 R 2358 0 R 2365 0 R 2370 0 R]
+/Parent 3813 0 R
+/Kids [2378 0 R 2388 0 R 2393 0 R 2399 0 R 2404 0 R 2410 0 R]
 >> endobj
-2383 0 obj <<
+2430 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3536 0 R
-/Kids [2376 0 R 2385 0 R 2389 0 R 2396 0 R 2401 0 R 2407 0 R]
+/Parent 3813 0 R
+/Kids [2427 0 R 2438 0 R 2444 0 R 2449 0 R 2454 0 R 2462 0 R]
 >> endobj
-2429 0 obj <<
+2472 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3536 0 R
-/Kids [2425 0 R 2431 0 R 2437 0 R 2442 0 R 2447 0 R 2454 0 R]
+/Parent 3813 0 R
+/Kids [2466 0 R 2474 0 R 2479 0 R 2485 0 R 2493 0 R 2497 0 R]
 >> endobj
-2466 0 obj <<
+2508 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3536 0 R
-/Kids [2461 0 R 2468 0 R 2474 0 R 2479 0 R 2489 0 R 2495 0 R]
+/Parent 3813 0 R
+/Kids [2504 0 R 2510 0 R 2516 0 R 2535 0 R 2546 0 R 2558 0 R]
 >> endobj
-2504 0 obj <<
+2573 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3536 0 R
-/Kids [2500 0 R 2506 0 R 2511 0 R 2532 0 R 2538 0 R 2545 0 R]
+/Parent 3813 0 R
+/Kids [2569 0 R 2575 0 R 2580 0 R 2585 0 R 2592 0 R 2599 0 R]
 >> endobj
-2553 0 obj <<
+2610 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3537 0 R
-/Kids [2550 0 R 2555 0 R 2563 0 R 2568 0 R 2574 0 R 2579 0 R]
+/Parent 3814 0 R
+/Kids [2605 0 R 2612 0 R 2617 0 R 2628 0 R 2633 0 R 2644 0 R]
 >> endobj
-2591 0 obj <<
+2653 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3537 0 R
-/Kids [2585 0 R 2593 0 R 2598 0 R 2605 0 R 2611 0 R 2616 0 R]
+/Parent 3814 0 R
+/Kids [2649 0 R 2655 0 R 2660 0 R 2682 0 R 2686 0 R 2699 0 R]
 >> endobj
-2636 0 obj <<
+2715 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3537 0 R
-/Kids [2621 0 R 2638 0 R 2643 0 R 2649 0 R 2653 0 R 2661 0 R]
+/Parent 3814 0 R
+/Kids [2710 0 R 2717 0 R 2722 0 R 2730 0 R 2740 0 R 2745 0 R]
 >> endobj
-2674 0 obj <<
+2760 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3537 0 R
-/Kids [2668 0 R 2676 0 R 2681 0 R 2689 0 R 2695 0 R 2700 0 R]
+/Parent 3814 0 R
+/Kids [2755 0 R 2762 0 R 2768 0 R 2772 0 R 2779 0 R 2784 0 R]
 >> endobj
-2722 0 obj <<
+2796 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3537 0 R
-/Kids [2705 0 R 2724 0 R 2730 0 R 2736 0 R 2741 0 R 2749 0 R]
+/Parent 3814 0 R
+/Kids [2791 0 R 2798 0 R 2803 0 R 2808 0 R 2817 0 R 2822 0 R]
 >> endobj
-2763 0 obj <<
+2842 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3537 0 R
-/Kids [2757 0 R 2765 0 R 2771 0 R 2776 0 R 2782 0 R 2791 0 R]
+/Parent 3814 0 R
+/Kids [2838 0 R 2844 0 R 2850 0 R 2854 0 R 2862 0 R 2869 0 R]
 >> endobj
-2802 0 obj <<
+2885 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3538 0 R
-/Kids [2797 0 R 2804 0 R 2811 0 R 2815 0 R 2825 0 R 2831 0 R]
+/Parent 3815 0 R
+/Kids [2880 0 R 2887 0 R 2893 0 R 2901 0 R 2912 0 R 2923 0 R]
 >> endobj
-2840 0 obj <<
+2933 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3538 0 R
-/Kids [2836 0 R 2842 0 R 2848 0 R 2855 0 R 2862 0 R 2868 0 R]
+/Parent 3815 0 R
+/Kids [2929 0 R 2935 0 R 2954 0 R 2958 0 R 2970 0 R 2976 0 R]
 >> endobj
-2877 0 obj <<
+2988 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3538 0 R
-/Kids [2873 0 R 2879 0 R 2884 0 R 2902 0 R 2908 0 R 2913 0 R]
+/Parent 3815 0 R
+/Kids [2981 0 R 2990 0 R 2998 0 R 3005 0 R 3011 0 R 3016 0 R]
 >> endobj
-2927 0 obj <<
+3030 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3538 0 R
-/Kids [2921 0 R 2929 0 R 2936 0 R 2942 0 R 2948 0 R 2953 0 R]
+/Parent 3815 0 R
+/Kids [3022 0 R 3032 0 R 3038 0 R 3044 0 R 3051 0 R 3055 0 R]
 >> endobj
-2975 0 obj <<
+3070 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3538 0 R
-/Kids [2970 0 R 2977 0 R 2982 0 R 2989 0 R 2993 0 R 3002 0 R]
+/Parent 3815 0 R
+/Kids [3066 0 R 3072 0 R 3083 0 R 3088 0 R 3093 0 R 3099 0 R]
 >> endobj
-3014 0 obj <<
+3112 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3538 0 R
-/Kids [3009 0 R 3016 0 R 3022 0 R 3027 0 R 3036 0 R 3049 0 R]
+/Parent 3815 0 R
+/Kids [3106 0 R 3114 0 R 3120 0 R 3125 0 R 3130 0 R 3135 0 R]
 >> endobj
-3060 0 obj <<
+3157 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3539 0 R
-/Kids [3054 0 R 3062 0 R 3068 0 R 3073 0 R 3078 0 R 3083 0 R]
+/Parent 3816 0 R
+/Kids [3154 0 R 3165 0 R 3171 0 R 3176 0 R 3184 0 R 3191 0 R]
 >> endobj
-3104 0 obj <<
+3203 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3539 0 R
-/Kids [3097 0 R 3106 0 R 3112 0 R 3117 0 R 3127 0 R 3132 0 R]
+/Parent 3816 0 R
+/Kids [3198 0 R 3205 0 R 3211 0 R 3216 0 R 3233 0 R 3239 0 R]
 >> endobj
-3144 0 obj <<
+3250 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3539 0 R
-/Kids [3139 0 R 3146 0 R 3151 0 R 3156 0 R 3167 0 R 3174 0 R]
+/Parent 3816 0 R
+/Kids [3244 0 R 3252 0 R 3256 0 R 3265 0 R 3272 0 R 3278 0 R]
 >> endobj
-3183 0 obj <<
+3288 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3539 0 R
-/Kids [3179 0 R 3185 0 R 3190 0 R 3197 0 R 3201 0 R 3206 0 R]
+/Parent 3816 0 R
+/Kids [3283 0 R 3290 0 R 3294 0 R 3304 0 R 3316 0 R 3328 0 R]
 >> endobj
-3219 0 obj <<
+3337 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3539 0 R
-/Kids [3212 0 R 3221 0 R 3232 0 R 3241 0 R 3249 0 R 3257 0 R]
+/Parent 3816 0 R
+/Kids [3333 0 R 3345 0 R 3351 0 R 3357 0 R 3362 0 R 3368 0 R]
 >> endobj
-3280 0 obj <<
+3385 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3539 0 R
-/Kids [3268 0 R 3282 0 R 3287 0 R 3291 0 R 3302 0 R 3310 0 R]
+/Parent 3816 0 R
+/Kids [3372 0 R 3387 0 R 3395 0 R 3401 0 R 3406 0 R 3416 0 R]
 >> endobj
-3334 0 obj <<
+3427 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3540 0 R
-/Kids [3322 0 R 3336 0 R 3349 0 R 3353 0 R 3363 0 R 3378 0 R]
+/Parent 3817 0 R
+/Kids [3421 0 R 3429 0 R 3435 0 R 3440 0 R 3445 0 R 3457 0 R]
 >> endobj
-3394 0 obj <<
+3467 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3540 0 R
-/Kids [3390 0 R 3400 0 R 3410 0 R 3415 0 R 3419 0 R 3423 0 R]
+/Parent 3817 0 R
+/Kids [3462 0 R 3475 0 R 3480 0 R 3485 0 R 3490 0 R 3497 0 R]
 >> endobj
-3430 0 obj <<
+3505 0 obj <<
 /Type /Pages
 /Count 6
-/Parent 3540 0 R
-/Kids [3427 0 R 3432 0 R 3436 0 R 3440 0 R 3445 0 R 3456 0 R]
+/Parent 3817 0 R
+/Kids [3501 0 R 3507 0 R 3513 0 R 3521 0 R 3532 0 R 3541 0 R]
 >> endobj
-3478 0 obj <<
+3556 0 obj <<
 /Type /Pages
-/Count 2
-/Parent 3540 0 R
-/Kids [3467 0 R 3480 0 R]
+/Count 6
+/Parent 3817 0 R
+/Kids [3549 0 R 3558 0 R 3569 0 R 3582 0 R 3587 0 R 3591 0 R]
 >> endobj
-3531 0 obj <<
+3609 0 obj <<
+/Type /Pages
+/Count 6
+/Parent 3817 0 R
+/Kids [3602 0 R 3611 0 R 3623 0 R 3636 0 R 3649 0 R 3653 0 R]
+>> endobj
+3676 0 obj <<
+/Type /Pages
+/Count 6
+/Parent 3817 0 R
+/Kids [3663 0 R 3679 0 R 3692 0 R 3701 0 R 3711 0 R 3716 0 R]
+>> endobj
+3723 0 obj <<
+/Type /Pages
+/Count 6
+/Parent 3818 0 R
+/Kids [3720 0 R 3725 0 R 3729 0 R 3733 0 R 3737 0 R 3741 0 R]
+>> endobj
+3750 0 obj <<
+/Type /Pages
+/Count 4
+/Parent 3818 0 R
+/Kids [3746 0 R 3752 0 R 3756 0 R 3760 0 R]
+>> endobj
+3808 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3541 0 R
-/Kids [558 0 R 739 0 R 814 0 R 899 0 R 964 0 R 1018 0 R]
+/Parent 3819 0 R
+/Kids [554 0 R 735 0 R 810 0 R 895 0 R 959 0 R 1013 0 R]
 >> endobj
-3532 0 obj <<
+3809 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3541 0 R
-/Kids [1109 0 R 1232 0 R 1268 0 R 1353 0 R 1390 0 R 1426 0 R]
+/Parent 3819 0 R
+/Kids [1104 0 R 1227 0 R 1263 0 R 1348 0 R 1385 0 R 1421 0 R]
 >> endobj
-3533 0 obj <<
+3810 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3541 0 R
-/Kids [1465 0 R 1521 0 R 1569 0 R 1636 0 R 1692 0 R 1744 0 R]
+/Parent 3819 0 R
+/Kids [1460 0 R 1516 0 R 1564 0 R 1631 0 R 1683 0 R 1730 0 R]
 >> endobj
-3534 0 obj <<
+3811 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3541 0 R
-/Kids [1801 0 R 1841 0 R 1897 0 R 1948 0 R 1996 0 R 2031 0 R]
+/Parent 3819 0 R
+/Kids [1786 0 R 1832 0 R 1885 0 R 1943 0 R 1998 0 R 2047 0 R]
 >> endobj
-3535 0 obj <<
+3812 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3541 0 R
-/Kids [2066 0 R 2102 0 R 2138 0 R 2184 0 R 2223 0 R 2262 0 R]
+/Parent 3819 0 R
+/Kids [2088 0 R 2131 0 R 2167 0 R 2202 0 R 2254 0 R 2291 0 R]
 >> endobj
-3536 0 obj <<
+3813 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3541 0 R
-/Kids [2298 0 R 2344 0 R 2383 0 R 2429 0 R 2466 0 R 2504 0 R]
+/Parent 3819 0 R
+/Kids [2350 0 R 2386 0 R 2430 0 R 2472 0 R 2508 0 R 2573 0 R]
 >> endobj
-3537 0 obj <<
+3814 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3542 0 R
-/Kids [2553 0 R 2591 0 R 2636 0 R 2674 0 R 2722 0 R 2763 0 R]
+/Parent 3820 0 R
+/Kids [2610 0 R 2653 0 R 2715 0 R 2760 0 R 2796 0 R 2842 0 R]
 >> endobj
-3538 0 obj <<
+3815 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3542 0 R
-/Kids [2802 0 R 2840 0 R 2877 0 R 2927 0 R 2975 0 R 3014 0 R]
+/Parent 3820 0 R
+/Kids [2885 0 R 2933 0 R 2988 0 R 3030 0 R 3070 0 R 3112 0 R]
 >> endobj
-3539 0 obj <<
+3816 0 obj <<
 /Type /Pages
 /Count 36
-/Parent 3542 0 R
-/Kids [3060 0 R 3104 0 R 3144 0 R 3183 0 R 3219 0 R 3280 0 R]
+/Parent 3820 0 R
+/Kids [3157 0 R 3203 0 R 3250 0 R 3288 0 R 3337 0 R 3385 0 R]
 >> endobj
-3540 0 obj <<
+3817 0 obj <<
+/Type /Pages
+/Count 36
+/Parent 3820 0 R
+/Kids [3427 0 R 3467 0 R 3505 0 R 3556 0 R 3609 0 R 3676 0 R]
+>> endobj
+3818 0 obj <<
 /Type /Pages
-/Count 20
-/Parent 3542 0 R
-/Kids [3334 0 R 3394 0 R 3430 0 R 3478 0 R]
+/Count 10
+/Parent 3820 0 R
+/Kids [3723 0 R 3750 0 R]
 >> endobj
-3541 0 obj <<
+3819 0 obj <<
 /Type /Pages
 /Count 216
-/Parent 3543 0 R
-/Kids [3531 0 R 3532 0 R 3533 0 R 3534 0 R 3535 0 R 3536 0 R]
+/Parent 3821 0 R
+/Kids [3808 0 R 3809 0 R 3810 0 R 3811 0 R 3812 0 R 3813 0 R]
 >> endobj
-3542 0 obj <<
+3820 0 obj <<
 /Type /Pages
-/Count 128
-/Parent 3543 0 R
-/Kids [3537 0 R 3538 0 R 3539 0 R 3540 0 R]
+/Count 154
+/Parent 3821 0 R
+/Kids [3814 0 R 3815 0 R 3816 0 R 3817 0 R 3818 0 R]
 >> endobj
-3543 0 obj <<
+3821 0 obj <<
 /Type /Pages
-/Count 344
-/Kids [3541 0 R 3542 0 R]
+/Count 370
+/Kids [3819 0 R 3820 0 R]
 >> endobj
-3544 0 obj <<
+3822 0 obj <<
 /Type /Outlines
 /First 7 0 R
-/Last 511 0 R
+/Last 507 0 R
 /Count 5
 >> endobj
-535 0 obj <<
-/Title 536 0 R
-/A 533 0 R
-/Parent 527 0 R
-/Prev 531 0 R
->> endobj
 531 0 obj <<
 /Title 532 0 R
 /A 529 0 R
-/Parent 527 0 R
-/Next 535 0 R
+/Parent 523 0 R
+/Prev 527 0 R
 >> endobj
 527 0 obj <<
 /Title 528 0 R
 /A 525 0 R
-/Parent 511 0 R
-/Prev 515 0 R
-/First 531 0 R
-/Last 535 0 R
-/Count -2
+/Parent 523 0 R
+/Next 531 0 R
 >> endobj
 523 0 obj <<
 /Title 524 0 R
 /A 521 0 R
-/Parent 515 0 R
-/Prev 519 0 R
+/Parent 507 0 R
+/Prev 511 0 R
+/First 527 0 R
+/Last 531 0 R
+/Count -2
 >> endobj
 519 0 obj <<
 /Title 520 0 R
 /A 517 0 R
-/Parent 515 0 R
-/Next 523 0 R
+/Parent 511 0 R
+/Prev 515 0 R
 >> endobj
 515 0 obj <<
 /Title 516 0 R
 /A 513 0 R
 /Parent 511 0 R
-/Next 527 0 R
-/First 519 0 R
-/Last 523 0 R
-/Count -2
+/Next 519 0 R
 >> endobj
 511 0 obj <<
 /Title 512 0 R
 /A 509 0 R
-/Parent 3544 0 R
-/Prev 259 0 R
+/Parent 507 0 R
+/Next 523 0 R
 /First 515 0 R
-/Last 527 0 R
+/Last 519 0 R
 /Count -2
 >> endobj
 507 0 obj <<
 /Title 508 0 R
 /A 505 0 R
-/Parent 471 0 R
-/Prev 503 0 R
+/Parent 3822 0 R
+/Prev 259 0 R
+/First 511 0 R
+/Last 523 0 R
+/Count -2
 >> endobj
 503 0 obj <<
 /Title 504 0 R
 /A 501 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 499 0 R
-/Next 507 0 R
 >> endobj
 499 0 obj <<
 /Title 500 0 R
 /A 497 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 495 0 R
 /Next 503 0 R
 >> endobj
 495 0 obj <<
 /Title 496 0 R
 /A 493 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 491 0 R
 /Next 499 0 R
 >> endobj
 491 0 obj <<
 /Title 492 0 R
 /A 489 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 487 0 R
 /Next 495 0 R
 >> endobj
 487 0 obj <<
 /Title 488 0 R
 /A 485 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 483 0 R
 /Next 491 0 R
 >> endobj
 483 0 obj <<
 /Title 484 0 R
 /A 481 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 479 0 R
 /Next 487 0 R
 >> endobj
 479 0 obj <<
 /Title 480 0 R
 /A 477 0 R
-/Parent 471 0 R
+/Parent 467 0 R
 /Prev 475 0 R
 /Next 483 0 R
 >> endobj
 475 0 obj <<
 /Title 476 0 R
 /A 473 0 R
-/Parent 471 0 R
+/Parent 467 0 R
+/Prev 471 0 R
 /Next 479 0 R
 >> endobj
 471 0 obj <<
 /Title 472 0 R
 /A 469 0 R
-/Parent 259 0 R
-/Prev 327 0 R
-/First 475 0 R
-/Last 507 0 R
-/Count -9
+/Parent 467 0 R
+/Next 475 0 R
 >> endobj
 467 0 obj <<
 /Title 468 0 R
 /A 465 0 R
-/Parent 327 0 R
-/Prev 463 0 R
+/Parent 259 0 R
+/Prev 327 0 R
+/First 471 0 R
+/Last 503 0 R
+/Count -9
 >> endobj
 463 0 obj <<
 /Title 464 0 R
 /A 461 0 R
 /Parent 327 0 R
 /Prev 459 0 R
-/Next 467 0 R
 >> endobj
 459 0 obj <<
 /Title 460 0 R
@@ -24680,52 +55761,66 @@ endobj
 >> endobj
 383 0 obj <<
 /Title 384 0 R
-/A 381 0 R
+/A 382 0 R
 /Parent 327 0 R
-/Prev 379 0 R
+/Prev 380 0 R
 /Next 387 0 R
 >> endobj
-379 0 obj <<
-/Title 380 0 R
-/A 377 0 R
+380 0 obj <<
+/Title 381 0 R
+/A 379 0 R
 /Parent 327 0 R
-/Prev 375 0 R
+/Prev 377 0 R
 /Next 383 0 R
 >> endobj
-375 0 obj <<
-/Title 376 0 R
+377 0 obj <<
+/Title 378 0 R
+/A 376 0 R
+/Parent 327 0 R
+/Prev 374 0 R
+/Next 380 0 R
+>> endobj
+374 0 obj <<
+/Title 375 0 R
 /A 373 0 R
 /Parent 327 0 R
 /Prev 371 0 R
-/Next 379 0 R
+/Next 377 0 R
 >> endobj
 371 0 obj <<
 /Title 372 0 R
-/A 369 0 R
+/A 370 0 R
 /Parent 327 0 R
-/Prev 367 0 R
-/Next 375 0 R
+/Prev 368 0 R
+/Next 374 0 R
 >> endobj
-367 0 obj <<
-/Title 368 0 R
-/A 365 0 R
+368 0 obj <<
+/Title 369 0 R
+/A 367 0 R
 /Parent 327 0 R
-/Prev 363 0 R
+/Prev 365 0 R
 /Next 371 0 R
 >> endobj
-363 0 obj <<
-/Title 364 0 R
+365 0 obj <<
+/Title 366 0 R
+/A 364 0 R
+/Parent 327 0 R
+/Prev 362 0 R
+/Next 368 0 R
+>> endobj
+362 0 obj <<
+/Title 363 0 R
 /A 361 0 R
 /Parent 327 0 R
 /Prev 359 0 R
-/Next 367 0 R
+/Next 365 0 R
 >> endobj
 359 0 obj <<
 /Title 360 0 R
 /A 357 0 R
 /Parent 327 0 R
 /Prev 355 0 R
-/Next 363 0 R
+/Next 362 0 R
 >> endobj
 355 0 obj <<
 /Title 356 0 R
@@ -24780,10 +55875,10 @@ endobj
 /A 325 0 R
 /Parent 259 0 R
 /Prev 295 0 R
-/Next 471 0 R
+/Next 467 0 R
 /First 331 0 R
-/Last 467 0 R
-/Count -35
+/Last 463 0 R
+/Count -36
 >> endobj
 323 0 obj <<
 /Title 324 0 R
@@ -24809,23 +55904,22 @@ endobj
 /Title 312 0 R
 /A 309 0 R
 /Parent 295 0 R
-/Prev 303 0 R
+/Prev 307 0 R
 /Next 315 0 R
 >> endobj
 307 0 obj <<
 /Title 308 0 R
 /A 305 0 R
-/Parent 303 0 R
+/Parent 295 0 R
+/Prev 303 0 R
+/Next 311 0 R
 >> endobj
 303 0 obj <<
 /Title 304 0 R
 /A 301 0 R
 /Parent 295 0 R
 /Prev 299 0 R
-/Next 311 0 R
-/First 307 0 R
-/Last 307 0 R
-/Count -1
+/Next 307 0 R
 >> endobj
 299 0 obj <<
 /Title 300 0 R
@@ -24841,7 +55935,7 @@ endobj
 /Next 327 0 R
 /First 299 0 R
 /Last 323 0 R
-/Count -6
+/Count -7
 >> endobj
 291 0 obj <<
 /Title 292 0 R
@@ -24902,11 +55996,11 @@ endobj
 259 0 obj <<
 /Title 260 0 R
 /A 257 0 R
-/Parent 3544 0 R
+/Parent 3822 0 R
 /Prev 155 0 R
-/Next 511 0 R
+/Next 507 0 R
 /First 263 0 R
-/Last 471 0 R
+/Last 467 0 R
 /Count -4
 >> endobj
 255 0 obj <<
@@ -25092,7 +56186,7 @@ endobj
 155 0 obj <<
 /Title 156 0 R
 /A 153 0 R
-/Parent 3544 0 R
+/Parent 3822 0 R
 /Prev 19 0 R
 /Next 259 0 R
 /First 159 0 R
@@ -25341,7 +56435,7 @@ endobj
 19 0 obj <<
 /Title 20 0 R
 /A 17 0 R
-/Parent 3544 0 R
+/Parent 3822 0 R
 /Prev 7 0 R
 /Next 155 0 R
 /First 23 0 R
@@ -25363,3593 +56457,3871 @@ endobj
 7 0 obj <<
 /Title 8 0 R
 /A 5 0 R
-/Parent 3544 0 R
+/Parent 3822 0 R
 /Next 19 0 R
 /First 11 0 R
 /Last 15 0 R
 /Count -2
 >> endobj
-3545 0 obj <<
-/Names [(Doc-Start) 542 0 R (Hfootnote.1) 754 0 R (Hfootnote.10) 1831 0 R (Hfootnote.2) 766 0 R (Hfootnote.3) 813 0 R (Hfootnote.4) 1057 0 R (Hfootnote.5) 1094 0 R (Hfootnote.6) 1126 0 R (Hfootnote.7) 1239 0 R (Hfootnote.8) 1489 0 R (Hfootnote.9) 1800 0 R (Item.1) 805 0 R (Item.10) 825 0 R (Item.100) 1107 0 R (Item.101) 1108 0 R (Item.102) 1114 0 R (Item.103) 1115 0 R (Item.104) 1117 0 R (Item.105) 1118 0 R (Item.106) 1120 0 R (Item.107) 1121 0 R (Item.108) 1122 0 R (Item.109) 1125 0 R ( [...]
+3823 0 obj <<
+/Names [(Doc-Start) 538 0 R (Hfootnote.1) 750 0 R (Hfootnote.10) 1810 0 R (Hfootnote.2) 762 0 R (Hfootnote.3) 809 0 R (Hfootnote.4) 1052 0 R (Hfootnote.5) 1089 0 R (Hfootnote.6) 1121 0 R (Hfootnote.7) 1234 0 R (Hfootnote.8) 1484 0 R (Hfootnote.9) 1779 0 R (Item.1) 801 0 R (Item.10) 821 0 R (Item.100) 1102 0 R (Item.101) 1103 0 R (Item.102) 1109 0 R (Item.103) 1110 0 R (Item.104) 1112 0 R (Item.105) 1113 0 R (Item.106) 1115 0 R (Item.107) 1116 0 R (Item.108) 1117 0 R (Item.109) 1120 0 R ( [...]
 /Limits [(Doc-Start) (table.13.1)]
 >> endobj
-3546 0 obj <<
-/Kids [3545 0 R]
+3824 0 obj <<
+/Kids [3823 0 R]
 >> endobj
-3547 0 obj <<
-/Dests 3546 0 R
+3825 0 obj <<
+/Dests 3824 0 R
 >> endobj
-3548 0 obj <<
+3826 0 obj <<
 /Type /Catalog
-/Pages 3543 0 R
-/Outlines 3544 0 R
-/Names 3547 0 R
+/Pages 3821 0 R
+/Outlines 3822 0 R
+/Names 3825 0 R
 /PageMode /UseOutlines /URI<</Base()>>  /ViewerPreferences<<>> 
-/OpenAction 537 0 R
+/OpenAction 533 0 R
 /PTEX.Fullbanner (This is pdfTeX, Version 3.14159-1.10b)
 >> endobj
-3549 0 obj <<
+3827 0 obj <<
 /Author()/Title()/Subject()/Creator(LaTeX with hyperref package)/Producer(pdfTeX-1.10b)/Keywords()
-/CreationDate (D:20070529224200)
+/CreationDate (D:20070601024700)
 >> endobj
 xref
-0 3550
+0 3828
 0000000001 65535 f 
 0000000002 00000 f 
 0000000003 00000 f 
 0000000004 00000 f 
 0000000000 00000 f 
 0000000009 00000 n 
-0000053597 00000 n 
-0001332074 00000 n 
+0000053311 00000 n 
+0001933855 00000 n 
 0000000054 00000 n 
 0000000084 00000 n 
-0000053648 00000 n 
-0001332002 00000 n 
+0000053362 00000 n 
+0001933783 00000 n 
 0000000131 00000 n 
 0000000169 00000 n 
-0000059217 00000 n 
-0001331929 00000 n 
+0000058943 00000 n 
+0001933710 00000 n 
 0000000217 00000 n 
 0000000248 00000 n 
-0000062512 00000 n 
-0001331802 00000 n 
+0000062264 00000 n 
+0001933583 00000 n 
 0000000291 00000 n 
 0000000324 00000 n 
-0000065601 00000 n 
-0001331691 00000 n 
+0000065395 00000 n 
+0001933472 00000 n 
 0000000370 00000 n 
 0000000401 00000 n 
-0000069950 00000 n 
-0001331617 00000 n 
+0000069712 00000 n 
+0001933398 00000 n 
 0000000449 00000 n 
 0000000475 00000 n 
-0000073989 00000 n 
-0001331530 00000 n 
+0000073730 00000 n 
+0001933311 00000 n 
 0000000523 00000 n 
 0000000549 00000 n 
-0000083671 00000 n 
-0001331443 00000 n 
+0000083394 00000 n 
+0001933224 00000 n 
 0000000597 00000 n 
 0000000630 00000 n 
-0000089251 00000 n 
-0001331369 00000 n 
+0000088793 00000 n 
+0001933150 00000 n 
 0000000678 00000 n 
 0000000718 00000 n 
-0000091412 00000 n 
-0001331245 00000 n 
+0000090980 00000 n 
+0001933026 00000 n 
 0000000764 00000 n 
 0000000805 00000 n 
-0000091464 00000 n 
-0001331134 00000 n 
+0000091032 00000 n 
+0001932915 00000 n 
 0000000853 00000 n 
 0000000886 00000 n 
-0000091519 00000 n 
-0001331060 00000 n 
+0000091088 00000 n 
+0001932841 00000 n 
 0000000939 00000 n 
 0000000973 00000 n 
-0000095402 00000 n 
-0001330986 00000 n 
+0000094898 00000 n 
+0001932767 00000 n 
 0000001026 00000 n 
 0000001052 00000 n 
-0000099246 00000 n 
-0001330862 00000 n 
+0000098682 00000 n 
+0001932643 00000 n 
 0000001100 00000 n 
 0000001128 00000 n 
-0000099302 00000 n 
-0001330788 00000 n 
+0000098737 00000 n 
+0001932569 00000 n 
 0000001181 00000 n 
 0000001215 00000 n 
-0000099529 00000 n 
-0001330701 00000 n 
+0000098963 00000 n 
+0001932482 00000 n 
 0000001268 00000 n 
 0000001299 00000 n 
-0000105870 00000 n 
-0001330627 00000 n 
+0000105186 00000 n 
+0001932408 00000 n 
 0000001352 00000 n 
 0000001382 00000 n 
-0000108771 00000 n 
-0001330516 00000 n 
+0000108064 00000 n 
+0001932297 00000 n 
 0000001430 00000 n 
 0000001458 00000 n 
-0000108826 00000 n 
-0001330442 00000 n 
+0000108120 00000 n 
+0001932223 00000 n 
 0000001511 00000 n 
 0000001550 00000 n 
-0000112639 00000 n 
-0001330368 00000 n 
+0000111943 00000 n 
+0001932149 00000 n 
 0000001603 00000 n 
 0000001640 00000 n 
-0000125850 00000 n 
-0001330242 00000 n 
+0000125344 00000 n 
+0001932023 00000 n 
 0000001686 00000 n 
 0000001725 00000 n 
-0000125903 00000 n 
-0001330129 00000 n 
+0000125396 00000 n 
+0001931910 00000 n 
 0000001773 00000 n 
 0000001806 00000 n 
-0000125959 00000 n 
-0001330055 00000 n 
+0000125451 00000 n 
+0001931836 00000 n 
 0000001859 00000 n 
 0000001892 00000 n 
-0000130507 00000 n 
-0001329966 00000 n 
+0000129898 00000 n 
+0001931747 00000 n 
 0000001945 00000 n 
 0000001973 00000 n 
-0000137866 00000 n 
-0001329889 00000 n 
+0000137082 00000 n 
+0001931670 00000 n 
 0000002027 00000 n 
 0000002054 00000 n 
-0000159876 00000 n 
-0001329798 00000 n 
+0000158672 00000 n 
+0001931579 00000 n 
 0000002103 00000 n 
 0000002139 00000 n 
-0000177305 00000 n 
-0001329681 00000 n 
+0000175785 00000 n 
+0001931462 00000 n 
 0000002188 00000 n 
 0000002230 00000 n 
-0000180373 00000 n 
-0001329602 00000 n 
+0000178796 00000 n 
+0001931383 00000 n 
 0000002284 00000 n 
 0000002332 00000 n 
-0000180427 00000 n 
-0001329523 00000 n 
+0000178850 00000 n 
+0001931304 00000 n 
 0000002386 00000 n 
 0000002426 00000 n 
-0000185927 00000 n 
-0001329407 00000 n 
+0000184303 00000 n 
+0001931188 00000 n 
 0000002473 00000 n 
 0000002510 00000 n 
-0000186099 00000 n 
-0001329328 00000 n 
+0000184475 00000 n 
+0001931109 00000 n 
 0000002559 00000 n 
 0000002592 00000 n 
-0000191804 00000 n 
-0001329235 00000 n 
+0000190125 00000 n 
+0001931016 00000 n 
 0000002641 00000 n 
 0000002712 00000 n 
-0000191862 00000 n 
-0001329142 00000 n 
+0000190183 00000 n 
+0001930923 00000 n 
 0000002761 00000 n 
 0000002803 00000 n 
-0000206390 00000 n 
-0001329024 00000 n 
+0000204695 00000 n 
+0001930805 00000 n 
 0000002852 00000 n 
 0000002880 00000 n 
-0000206444 00000 n 
-0001328945 00000 n 
+0000204749 00000 n 
+0001930726 00000 n 
 0000002934 00000 n 
 0000002982 00000 n 
-0000218379 00000 n 
-0001328852 00000 n 
+0000216694 00000 n 
+0001930633 00000 n 
 0000003036 00000 n 
 0000003082 00000 n 
-0000278906 00000 n 
-0001328773 00000 n 
+0000277266 00000 n 
+0001930554 00000 n 
 0000003136 00000 n 
 0000003173 00000 n 
-0000299869 00000 n 
-0001328641 00000 n 
+0000298332 00000 n 
+0001930422 00000 n 
 0000003217 00000 n 
 0000003259 00000 n 
-0000302499 00000 n 
-0001328523 00000 n 
+0000300917 00000 n 
+0001930304 00000 n 
 0000003306 00000 n 
 0000003335 00000 n 
-0000302553 00000 n 
-0001328444 00000 n 
+0000300971 00000 n 
+0001930225 00000 n 
 0000003384 00000 n 
 0000003417 00000 n 
-0000305015 00000 n 
-0001328326 00000 n 
+0000303435 00000 n 
+0001930107 00000 n 
 0000003466 00000 n 
 0000003501 00000 n 
-0000305073 00000 n 
-0001328247 00000 n 
+0000303493 00000 n 
+0001930028 00000 n 
 0000003555 00000 n 
 0000003581 00000 n 
-0000313696 00000 n 
-0001328154 00000 n 
+0000312140 00000 n 
+0001929935 00000 n 
 0000003635 00000 n 
 0000003660 00000 n 
-0000316478 00000 n 
-0001328061 00000 n 
+0000314980 00000 n 
+0001929842 00000 n 
 0000003714 00000 n 
 0000003745 00000 n 
-0000317941 00000 n 
-0001327982 00000 n 
+0000316458 00000 n 
+0001929763 00000 n 
 0000003799 00000 n 
 0000003858 00000 n 
-0000320192 00000 n 
-0001327850 00000 n 
+0000318681 00000 n 
+0001929631 00000 n 
 0000003905 00000 n 
 0000003947 00000 n 
-0000320246 00000 n 
-0001327771 00000 n 
+0000318735 00000 n 
+0001929552 00000 n 
 0000003996 00000 n 
 0000004025 00000 n 
-0000320304 00000 n 
-0001327678 00000 n 
+0000318791 00000 n 
+0001929459 00000 n 
 0000004074 00000 n 
 0000004107 00000 n 
-0000323380 00000 n 
-0001327599 00000 n 
+0000321884 00000 n 
+0001929380 00000 n 
 0000004156 00000 n 
 0000004185 00000 n 
-0000333156 00000 n 
-0001327467 00000 n 
+0000331611 00000 n 
+0001929248 00000 n 
 0000004232 00000 n 
 0000004270 00000 n 
-0000336630 00000 n 
-0001327349 00000 n 
+0000335024 00000 n 
+0001929130 00000 n 
 0000004319 00000 n 
 0000004372 00000 n 
-0000336684 00000 n 
-0001327270 00000 n 
+0000335078 00000 n 
+0001929051 00000 n 
 0000004426 00000 n 
 0000004476 00000 n 
-0000339509 00000 n 
-0001327177 00000 n 
+0000337851 00000 n 
+0001928958 00000 n 
 0000004530 00000 n 
 0000004606 00000 n 
-0000348763 00000 n 
-0001327098 00000 n 
+0000346957 00000 n 
+0001928879 00000 n 
 0000004660 00000 n 
 0000004725 00000 n 
-0000355170 00000 n 
-0001326980 00000 n 
+0000353331 00000 n 
+0001928761 00000 n 
 0000004774 00000 n 
 0000004822 00000 n 
-0000359304 00000 n 
-0001326901 00000 n 
+0000357389 00000 n 
+0001928682 00000 n 
 0000004876 00000 n 
 0000004916 00000 n 
-0000359362 00000 n 
-0001326808 00000 n 
+0000357447 00000 n 
+0001928589 00000 n 
 0000004970 00000 n 
 0000005026 00000 n 
-0000362993 00000 n 
-0001326715 00000 n 
+0000361122 00000 n 
+0001928496 00000 n 
 0000005080 00000 n 
 0000005127 00000 n 
-0000363051 00000 n 
-0001326636 00000 n 
+0000361180 00000 n 
+0001928417 00000 n 
 0000005181 00000 n 
 0000005232 00000 n 
-0000369552 00000 n 
-0001326518 00000 n 
+0000367499 00000 n 
+0001928299 00000 n 
 0000005279 00000 n 
 0000005333 00000 n 
-0000372929 00000 n 
-0001326439 00000 n 
+0000370835 00000 n 
+0001928220 00000 n 
 0000005382 00000 n 
 0000005440 00000 n 
-0000391495 00000 n 
-0001326346 00000 n 
+0000389102 00000 n 
+0001928127 00000 n 
 0000005489 00000 n 
 0000005534 00000 n 
-0000391553 00000 n 
-0001326267 00000 n 
+0000389160 00000 n 
+0001928048 00000 n 
 0000005583 00000 n 
 0000005636 00000 n 
-0000395783 00000 n 
-0001326134 00000 n 
+0000393313 00000 n 
+0001927915 00000 n 
 0000005680 00000 n 
 0000005720 00000 n 
-0000398260 00000 n 
-0001326016 00000 n 
+0000395763 00000 n 
+0001927797 00000 n 
 0000005768 00000 n 
 0000005801 00000 n 
-0000398314 00000 n 
-0001325937 00000 n 
+0000395817 00000 n 
+0001927718 00000 n 
 0000005851 00000 n 
 0000005908 00000 n 
-0000414078 00000 n 
-0001325844 00000 n 
+0000411062 00000 n 
+0001927625 00000 n 
 0000005958 00000 n 
 0000006019 00000 n 
-0000421870 00000 n 
-0001325751 00000 n 
+0000417215 00000 n 
+0001927532 00000 n 
 0000006069 00000 n 
 0000006127 00000 n 
-0000431656 00000 n 
-0001325658 00000 n 
+0000425463 00000 n 
+0001927439 00000 n 
 0000006177 00000 n 
-0000006230 00000 n 
-0000438931 00000 n 
-0001325565 00000 n 
-0000006280 00000 n 
-0000006337 00000 n 
-0000442758 00000 n 
-0001325472 00000 n 
-0000006387 00000 n 
-0000006445 00000 n 
-0000445725 00000 n 
-0001325393 00000 n 
-0000006495 00000 n 
-0000006541 00000 n 
-0000451373 00000 n 
-0001325261 00000 n 
-0000006589 00000 n 
-0000006631 00000 n 
-0000451427 00000 n 
-0001325182 00000 n 
-0000006681 00000 n 
-0000006729 00000 n 
-0000473287 00000 n 
-0001325050 00000 n 
-0000006779 00000 n 
-0000006848 00000 n 
-0000475476 00000 n 
-0001324985 00000 n 
-0000006903 00000 n 
-0000007007 00000 n 
-0000478509 00000 n 
-0001324892 00000 n 
-0000007057 00000 n 
-0000007124 00000 n 
-0000482997 00000 n 
-0001324799 00000 n 
-0000007174 00000 n 
-0000007241 00000 n 
-0000488221 00000 n 
-0001324706 00000 n 
-0000007291 00000 n 
-0000007351 00000 n 
-0000493044 00000 n 
-0001324627 00000 n 
-0000007401 00000 n 
-0000007469 00000 n 
-0000496826 00000 n 
-0001324494 00000 n 
-0000007517 00000 n 
-0000007557 00000 n 
-0000501021 00000 n 
-0001324415 00000 n 
-0000007607 00000 n 
-0000007668 00000 n 
-0000517571 00000 n 
-0001324322 00000 n 
-0000007718 00000 n 
-0000007815 00000 n 
-0000534826 00000 n 
-0001324229 00000 n 
-0000007865 00000 n 
-0000007961 00000 n 
-0000552528 00000 n 
-0001324136 00000 n 
-0000008011 00000 n 
-0000008085 00000 n 
-0000570071 00000 n 
-0001324043 00000 n 
-0000008135 00000 n 
-0000008218 00000 n 
-0000585686 00000 n 
-0001323950 00000 n 
-0000008268 00000 n 
-0000008372 00000 n 
-0000597590 00000 n 
-0001323857 00000 n 
-0000008422 00000 n 
-0000008502 00000 n 
-0000613238 00000 n 
-0001323764 00000 n 
-0000008552 00000 n 
-0000008610 00000 n 
-0000627210 00000 n 
-0001323671 00000 n 
-0000008660 00000 n 
-0000008718 00000 n 
-0000643334 00000 n 
-0001323578 00000 n 
-0000008769 00000 n 
-0000008829 00000 n 
-0000658879 00000 n 
-0001323485 00000 n 
-0000008880 00000 n 
-0000008968 00000 n 
-0000671141 00000 n 
-0001323392 00000 n 
-0000009019 00000 n 
-0000009081 00000 n 
-0000685047 00000 n 
-0001323299 00000 n 
-0000009132 00000 n 
-0000009199 00000 n 
-0000700736 00000 n 
-0001323206 00000 n 
-0000009250 00000 n 
-0000009332 00000 n 
-0000714542 00000 n 
-0001323113 00000 n 
-0000009383 00000 n 
-0000009444 00000 n 
-0000728451 00000 n 
-0001323020 00000 n 
-0000009495 00000 n 
-0000009578 00000 n 
-0000745548 00000 n 
-0001322927 00000 n 
-0000009629 00000 n 
-0000009712 00000 n 
-0000757679 00000 n 
-0001322834 00000 n 
-0000009763 00000 n 
-0000009880 00000 n 
-0000770876 00000 n 
-0001322741 00000 n 
-0000009931 00000 n 
-0000010005 00000 n 
-0000787552 00000 n 
-0001322648 00000 n 
-0000010056 00000 n 
-0000010148 00000 n 
-0000799563 00000 n 
-0001322555 00000 n 
-0000010199 00000 n 
-0000010310 00000 n 
-0000807973 00000 n 
-0001322462 00000 n 
-0000010361 00000 n 
-0000010471 00000 n 
-0000820084 00000 n 
-0001322369 00000 n 
-0000010522 00000 n 
-0000010602 00000 n 
-0000833850 00000 n 
-0001322276 00000 n 
-0000010653 00000 n 
-0000010720 00000 n 
-0000846709 00000 n 
-0001322183 00000 n 
-0000010771 00000 n 
-0000010870 00000 n 
-0000859682 00000 n 
-0001322090 00000 n 
-0000010921 00000 n 
-0000011019 00000 n 
-0000872402 00000 n 
-0001321997 00000 n 
-0000011070 00000 n 
-0000011139 00000 n 
-0000889729 00000 n 
-0001321904 00000 n 
-0000011190 00000 n 
-0000011273 00000 n 
-0000901480 00000 n 
-0001321811 00000 n 
-0000011324 00000 n 
+0000006235 00000 n 
+0000433844 00000 n 
+0001927346 00000 n 
+0000006285 00000 n 
+0000006348 00000 n 
+0000436426 00000 n 
+0001927253 00000 n 
+0000006398 00000 n 
+0000006456 00000 n 
+0000439233 00000 n 
+0001927174 00000 n 
+0000006506 00000 n 
+0000006552 00000 n 
+0000445342 00000 n 
+0001927042 00000 n 
+0000006600 00000 n 
+0000006642 00000 n 
+0000445396 00000 n 
+0001926963 00000 n 
+0000006692 00000 n 
+0000006740 00000 n 
+0000467463 00000 n 
+0001926870 00000 n 
+0000006790 00000 n 
+0000006857 00000 n 
+0000469842 00000 n 
+0001926777 00000 n 
+0000006907 00000 n 
+0000006998 00000 n 
+0000472644 00000 n 
+0001926684 00000 n 
+0000007048 00000 n 
+0000007115 00000 n 
+0000476703 00000 n 
+0001926591 00000 n 
+0000007165 00000 n 
+0000007232 00000 n 
+0000481168 00000 n 
+0001926498 00000 n 
+0000007282 00000 n 
+0000007330 00000 n 
+0000485341 00000 n 
+0001926419 00000 n 
+0000007380 00000 n 
+0000007448 00000 n 
+0000489045 00000 n 
+0001926286 00000 n 
+0000007496 00000 n 
+0000007536 00000 n 
+0000493130 00000 n 
+0001926207 00000 n 
+0000007586 00000 n 
+0000007646 00000 n 
+0000533936 00000 n 
+0001926114 00000 n 
+0000007696 00000 n 
+0000007793 00000 n 
+0000592124 00000 n 
+0001926021 00000 n 
+0000007843 00000 n 
+0000007941 00000 n 
+0000663096 00000 n 
+0001925928 00000 n 
+0000007991 00000 n 
+0000008065 00000 n 
+0000680353 00000 n 
+0001925835 00000 n 
+0000008115 00000 n 
+0000008198 00000 n 
+0000695704 00000 n 
+0001925742 00000 n 
+0000008248 00000 n 
+0000008352 00000 n 
+0000707270 00000 n 
+0001925649 00000 n 
+0000008402 00000 n 
+0000008482 00000 n 
+0000752756 00000 n 
+0001925556 00000 n 
+0000008532 00000 n 
+0000008590 00000 n 
+0001925463 00000 n 
+0000008640 00000 n 
+0000008698 00000 n 
+0001925370 00000 n 
+0000008748 00000 n 
+0000008808 00000 n 
+0001925277 00000 n 
+0000008858 00000 n 
+0000008946 00000 n 
+0001925184 00000 n 
+0000008996 00000 n 
+0000009058 00000 n 
+0001925091 00000 n 
+0000009108 00000 n 
+0000009175 00000 n 
+0001924998 00000 n 
+0000009225 00000 n 
+0000009307 00000 n 
+0001924905 00000 n 
+0000009357 00000 n 
+0000009418 00000 n 
+0001924812 00000 n 
+0000009468 00000 n 
+0000009551 00000 n 
+0001004542 00000 n 
+0001924719 00000 n 
+0000009601 00000 n 
+0000009684 00000 n 
+0001057499 00000 n 
+0001924626 00000 n 
+0000009735 00000 n 
+0000009852 00000 n 
+0001133171 00000 n 
+0001924533 00000 n 
+0000009903 00000 n 
+0000009977 00000 n 
+0001147977 00000 n 
+0001924440 00000 n 
+0000010028 00000 n 
+0000010118 00000 n 
+0001153852 00000 n 
+0001924347 00000 n 
+0000010169 00000 n 
+0000010261 00000 n 
+0001165725 00000 n 
+0001924254 00000 n 
+0000010312 00000 n 
+0000010423 00000 n 
+0001194988 00000 n 
+0001924161 00000 n 
+0000010474 00000 n 
+0000010584 00000 n 
+0001241006 00000 n 
+0001924068 00000 n 
+0000010635 00000 n 
+0000010715 00000 n 
+0001284570 00000 n 
+0001923975 00000 n 
+0000010766 00000 n 
+0000010833 00000 n 
+0001297181 00000 n 
+0001923882 00000 n 
+0000010884 00000 n 
+0000010983 00000 n 
+0001310012 00000 n 
+0001923789 00000 n 
+0000011034 00000 n 
+0000011132 00000 n 
+0001391618 00000 n 
+0001923696 00000 n 
+0000011183 00000 n 
+0000011252 00000 n 
+0001408926 00000 n 
+0001923603 00000 n 
+0000011303 00000 n 
 0000011386 00000 n 
-0000915810 00000 n 
-0001321718 00000 n 
+0001433620 00000 n 
+0001923510 00000 n 
 0000011437 00000 n 
-0000011518 00000 n 
-0000928368 00000 n 
-0001321625 00000 n 
-0000011569 00000 n 
-0000011629 00000 n 
-0000942738 00000 n 
-0001321532 00000 n 
-0000011680 00000 n 
-0000011776 00000 n 
-0000966619 00000 n 
-0001321439 00000 n 
-0000011827 00000 n 
-0000011910 00000 n 
-0000977234 00000 n 
-0001321346 00000 n 
-0000011961 00000 n 
-0000012054 00000 n 
-0000993193 00000 n 
-0001321267 00000 n 
-0000012105 00000 n 
-0000012185 00000 n 
-0001007375 00000 n 
-0001321149 00000 n 
-0000012233 00000 n 
-0000012294 00000 n 
-0001007429 00000 n 
-0001321070 00000 n 
-0000012344 00000 n 
-0000012429 00000 n 
-0001018976 00000 n 
-0001320977 00000 n 
-0000012479 00000 n 
-0000012540 00000 n 
-0001021724 00000 n 
-0001320884 00000 n 
-0000012590 00000 n 
-0000012681 00000 n 
-0001025552 00000 n 
-0001320791 00000 n 
-0000012731 00000 n 
-0000012811 00000 n 
-0001031599 00000 n 
-0001320698 00000 n 
-0000012861 00000 n 
-0000012914 00000 n 
-0001036906 00000 n 
-0001320605 00000 n 
-0000012964 00000 n 
-0000013031 00000 n 
-0001041118 00000 n 
-0001320512 00000 n 
-0000013081 00000 n 
-0000013163 00000 n 
-0001043520 00000 n 
-0001320419 00000 n 
-0000013213 00000 n 
-0000013282 00000 n 
-0001045700 00000 n 
-0001320340 00000 n 
-0000013332 00000 n 
-0000013401 00000 n 
-0001046662 00000 n 
-0001320221 00000 n 
+0000011499 00000 n 
+0001447689 00000 n 
+0001923417 00000 n 
+0000011550 00000 n 
+0000011631 00000 n 
+0001460060 00000 n 
+0001923324 00000 n 
+0000011682 00000 n 
+0000011742 00000 n 
+0001474600 00000 n 
+0001923231 00000 n 
+0000011793 00000 n 
+0000011889 00000 n 
+0001523331 00000 n 
+0001923138 00000 n 
+0000011940 00000 n 
+0000012023 00000 n 
+0001533800 00000 n 
+0001923045 00000 n 
+0000012074 00000 n 
+0000012167 00000 n 
+0001549508 00000 n 
+0001922966 00000 n 
+0000012218 00000 n 
+0000012298 00000 n 
+0001593676 00000 n 
+0001922848 00000 n 
+0000012346 00000 n 
+0000012407 00000 n 
+0001593730 00000 n 
+0001922769 00000 n 
+0000012457 00000 n 
+0000012542 00000 n 
+0001605006 00000 n 
+0001922676 00000 n 
+0000012592 00000 n 
+0000012653 00000 n 
+0001607722 00000 n 
+0001922583 00000 n 
+0000012703 00000 n 
+0000012794 00000 n 
+0001611517 00000 n 
+0001922490 00000 n 
+0000012844 00000 n 
+0000012924 00000 n 
+0001617503 00000 n 
+0001922397 00000 n 
+0000012974 00000 n 
+0000013027 00000 n 
+0001622756 00000 n 
+0001922304 00000 n 
+0000013077 00000 n 
+0000013144 00000 n 
+0001626936 00000 n 
+0001922211 00000 n 
+0000013194 00000 n 
+0000013276 00000 n 
+0001629289 00000 n 
+0001922118 00000 n 
+0000013326 00000 n 
+0000013395 00000 n 
+0001631507 00000 n 
+0001922039 00000 n 
 0000013445 00000 n 
-0000013478 00000 n 
-0001049560 00000 n 
-0001320103 00000 n 
-0000013526 00000 n 
-0000013572 00000 n 
-0001049614 00000 n 
-0001320024 00000 n 
-0000013621 00000 n 
-0000013660 00000 n 
-0001093511 00000 n 
-0001319945 00000 n 
-0000013709 00000 n 
-0000013751 00000 n 
-0001097097 00000 n 
-0001319827 00000 n 
-0000013799 00000 n 
-0000013843 00000 n 
-0001097151 00000 n 
-0001319748 00000 n 
-0000013892 00000 n 
-0000013943 00000 n 
-0001111451 00000 n 
-0001319669 00000 n 
-0000013992 00000 n 
-0000014024 00000 n 
-0000015344 00000 n 
-0000015562 00000 n 
-0000014076 00000 n 
-0000015456 00000 n 
-0000015509 00000 n 
-0001310387 00000 n 
-0001305254 00000 n 
-0001310224 00000 n 
-0001304148 00000 n 
-0001285988 00000 n 
-0001303986 00000 n 
-0001285181 00000 n 
-0001270754 00000 n 
-0001285018 00000 n 
-0001270280 00000 n 
-0001265834 00000 n 
-0001270118 00000 n 
-0001265189 00000 n 
-0001255289 00000 n 
-0001265025 00000 n 
-0001310867 00000 n 
-0000021441 00000 n 
-0000016712 00000 n 
-0000015685 00000 n 
-0001254421 00000 n 
-0001240628 00000 n 
-0001254257 00000 n 
-0000021384 00000 n 
-0000017060 00000 n 
-0000017210 00000 n 
-0000017363 00000 n 
-0000017516 00000 n 
-0000017664 00000 n 
-0000017815 00000 n 
-0000017968 00000 n 
-0000018121 00000 n 
-0000018273 00000 n 
-0000018426 00000 n 
-0000018577 00000 n 
-0000018730 00000 n 
-0000018888 00000 n 
-0000019047 00000 n 
-0000019200 00000 n 
-0000019358 00000 n 
-0000019516 00000 n 
-0000019675 00000 n 
-0000019827 00000 n 
-0000019984 00000 n 
-0000020143 00000 n 
-0000020293 00000 n 
-0000020446 00000 n 
-0000020605 00000 n 
-0000020763 00000 n 
-0000020922 00000 n 
-0000021075 00000 n 
-0000021226 00000 n 
-0000028906 00000 n 
-0000023030 00000 n 
-0000021526 00000 n 
-0000028853 00000 n 
-0000023434 00000 n 
-0000023593 00000 n 
-0000023744 00000 n 
-0000023897 00000 n 
-0000024048 00000 n 
-0000024201 00000 n 
-0000024354 00000 n 
-0000024513 00000 n 
-0000024672 00000 n 
-0000024831 00000 n 
-0000024979 00000 n 
-0000025129 00000 n 
-0000025282 00000 n 
-0000025434 00000 n 
-0000025593 00000 n 
-0000025752 00000 n 
-0000025911 00000 n 
-0000026067 00000 n 
-0000026218 00000 n 
-0000026370 00000 n 
-0000026522 00000 n 
-0000026675 00000 n 
-0000026826 00000 n 
-0000026979 00000 n 
-0000027138 00000 n 
-0000027297 00000 n 
-0000027456 00000 n 
-0000027607 00000 n 
-0000027766 00000 n 
-0000027925 00000 n 
-0000028084 00000 n 
-0000028243 00000 n 
-0000028394 00000 n 
-0000028547 00000 n 
-0000028700 00000 n 
-0000037824 00000 n 
-0000031337 00000 n 
-0000028991 00000 n 
-0000037771 00000 n 
-0000031773 00000 n 
-0000031920 00000 n 
-0000032072 00000 n 
-0001239608 00000 n 
-0001223298 00000 n 
-0001239444 00000 n 
-0000032226 00000 n 
-0000032378 00000 n 
-0000032532 00000 n 
-0000032686 00000 n 
-0000032839 00000 n 
-0000032993 00000 n 
-0000033147 00000 n 
-0000033297 00000 n 
-0000033451 00000 n 
-0000033605 00000 n 
-0000033765 00000 n 
-0000033924 00000 n 
-0000034077 00000 n 
-0000034231 00000 n 
-0000034385 00000 n 
-0000034539 00000 n 
-0000034689 00000 n 
-0000034842 00000 n 
-0000034996 00000 n 
-0000035150 00000 n 
-0000035304 00000 n 
-0000035458 00000 n 
-0000035612 00000 n 
-0001221608 00000 n 
-0001217367 00000 n 
-0001221445 00000 n 
-0000035764 00000 n 
-0001216569 00000 n 
-0001199118 00000 n 
-0001216405 00000 n 
-0000035918 00000 n 
-0000036072 00000 n 
-0000036226 00000 n 
-0000036380 00000 n 
-0000036533 00000 n 
-0000036688 00000 n 
-0000036843 00000 n 
-0000036998 00000 n 
-0000037153 00000 n 
-0000037307 00000 n 
-0000037462 00000 n 
-0000037616 00000 n 
-0000046311 00000 n 
-0000040140 00000 n 
-0000037948 00000 n 
-0000046258 00000 n 
-0000040560 00000 n 
-0000040715 00000 n 
-0000040869 00000 n 
-0000041022 00000 n 
-0000041177 00000 n 
-0000041331 00000 n 
-0000041486 00000 n 
-0000041641 00000 n 
-0000041796 00000 n 
-0000041951 00000 n 
-0000042106 00000 n 
-0000042261 00000 n 
-0000042416 00000 n 
-0000042571 00000 n 
-0000042726 00000 n 
-0000042880 00000 n 
-0000043035 00000 n 
-0000043190 00000 n 
-0000043344 00000 n 
-0000043499 00000 n 
-0000043654 00000 n 
-0000043809 00000 n 
-0000043964 00000 n 
-0000044118 00000 n 
-0000044270 00000 n 
-0000044424 00000 n 
-0000044578 00000 n 
-0000044732 00000 n 
-0000044884 00000 n 
-0000045038 00000 n 
-0000045192 00000 n 
-0000045346 00000 n 
-0000045500 00000 n 
-0000045654 00000 n 
-0000045802 00000 n 
-0000045954 00000 n 
-0000046105 00000 n 
-0000047363 00000 n 
-0000046704 00000 n 
-0000046409 00000 n 
-0000047310 00000 n 
+0000013514 00000 n 
+0001632479 00000 n 
+0001921920 00000 n 
+0000013558 00000 n 
+0000013591 00000 n 
+0001635423 00000 n 
+0001921802 00000 n 
+0000013639 00000 n 
+0000013685 00000 n 
+0001635477 00000 n 
+0001921723 00000 n 
+0000013734 00000 n 
+0000013773 00000 n 
+0001679433 00000 n 
+0001921644 00000 n 
+0000013822 00000 n 
+0000013864 00000 n 
+0001683205 00000 n 
+0001921526 00000 n 
+0000013912 00000 n 
+0000013956 00000 n 
+0001683259 00000 n 
+0001921447 00000 n 
+0000014005 00000 n 
+0000014056 00000 n 
+0001697370 00000 n 
+0001921368 00000 n 
+0000014105 00000 n 
+0000014137 00000 n 
+0000015481 00000 n 
+0000015699 00000 n 
+0000014189 00000 n 
+0000015593 00000 n 
+0000015646 00000 n 
+0001911452 00000 n 
+0001906319 00000 n 
+0001911289 00000 n 
+0001905193 00000 n 
+0001886558 00000 n 
+0001905031 00000 n 
+0001885751 00000 n 
+0001871324 00000 n 
+0001885588 00000 n 
+0001870850 00000 n 
+0001866403 00000 n 
+0001870688 00000 n 
+0001865540 00000 n 
+0001851433 00000 n 
+0001865376 00000 n 
+0001911932 00000 n 
+0000021570 00000 n 
+0000016849 00000 n 
+0000015823 00000 n 
+0001850565 00000 n 
+0001836772 00000 n 
+0001850401 00000 n 
+0000021513 00000 n 
+0000017197 00000 n 
+0000017348 00000 n 
+0000017500 00000 n 
+0000017652 00000 n 
+0000017800 00000 n 
+0000017951 00000 n 
+0000018102 00000 n 
+0000018254 00000 n 
+0000018406 00000 n 
+0000018558 00000 n 
+0000018709 00000 n 
+0000018859 00000 n 
+0000019018 00000 n 
+0000019177 00000 n 
+0000019329 00000 n 
+0000019488 00000 n 
+0000019647 00000 n 
+0000019806 00000 n 
+0000019956 00000 n 
+0000020113 00000 n 
+0000020272 00000 n 
+0000020423 00000 n 
+0000020575 00000 n 
+0000020734 00000 n 
+0000020892 00000 n 
+0000021051 00000 n 
+0000021203 00000 n 
+0000021354 00000 n 
+0000029007 00000 n 
+0000023150 00000 n 
+0000021656 00000 n 
+0000028954 00000 n 
+0000023554 00000 n 
+0000023713 00000 n 
+0000023861 00000 n 
+0000024013 00000 n 
+0000024164 00000 n 
+0000024316 00000 n 
+0000024468 00000 n 
+0000024626 00000 n 
+0000024784 00000 n 
+0000024943 00000 n 
+0000025090 00000 n 
+0000025238 00000 n 
+0000025390 00000 n 
+0000025541 00000 n 
+0000025700 00000 n 
+0000025859 00000 n 
+0000026018 00000 n 
+0000026177 00000 n 
+0000026328 00000 n 
+0000026480 00000 n 
+0000026632 00000 n 
+0000026784 00000 n 
+0000026935 00000 n 
+0000027087 00000 n 
+0000027246 00000 n 
+0000027405 00000 n 
+0000027564 00000 n 
+0000027715 00000 n 
+0000027873 00000 n 
+0000028032 00000 n 
+0000028190 00000 n 
+0000028349 00000 n 
+0000028499 00000 n 
+0000028651 00000 n 
+0000028803 00000 n 
+0000037890 00000 n 
+0000031287 00000 n 
+0000029093 00000 n 
+0000037837 00000 n 
+0000031731 00000 n 
+0000031878 00000 n 
+0000032029 00000 n 
+0001835768 00000 n 
+0001819693 00000 n 
+0001835604 00000 n 
+0000032182 00000 n 
+0000032335 00000 n 
+0000032488 00000 n 
+0000032641 00000 n 
+0000032794 00000 n 
+0000032946 00000 n 
+0000033099 00000 n 
+0000033250 00000 n 
+0000033403 00000 n 
+0000033555 00000 n 
+0000033708 00000 n 
+0000033860 00000 n 
+0000034013 00000 n 
+0000034166 00000 n 
+0000034319 00000 n 
+0000034471 00000 n 
+0000034624 00000 n 
+0000034777 00000 n 
+0000034930 00000 n 
+0000035082 00000 n 
+0000035236 00000 n 
+0000035389 00000 n 
+0001818987 00000 n 
+0001814467 00000 n 
+0001818824 00000 n 
+0000035541 00000 n 
+0001813669 00000 n 
+0001796218 00000 n 
+0001813505 00000 n 
+0000035694 00000 n 
+0000035848 00000 n 
+0000036000 00000 n 
+0000036153 00000 n 
+0000036306 00000 n 
+0000036459 00000 n 
+0000036612 00000 n 
+0000036765 00000 n 
+0000036918 00000 n 
+0000037071 00000 n 
+0000037224 00000 n 
+0000037376 00000 n 
+0000037529 00000 n 
+0000037683 00000 n 
+0000045990 00000 n 
+0000040015 00000 n 
+0000038016 00000 n 
+0000045937 00000 n 
+0000040427 00000 n 
+0000040580 00000 n 
+0000040734 00000 n 
+0000040887 00000 n 
+0000041041 00000 n 
+0000041196 00000 n 
+0000041350 00000 n 
+0000041505 00000 n 
+0000041659 00000 n 
+0000041811 00000 n 
+0000041964 00000 n 
+0000042118 00000 n 
+0000042271 00000 n 
+0000042426 00000 n 
+0000042579 00000 n 
+0000042733 00000 n 
+0000042887 00000 n 
+0000043041 00000 n 
+0000043194 00000 n 
+0000043347 00000 n 
+0000043501 00000 n 
+0000043655 00000 n 
+0000043808 00000 n 
+0000043960 00000 n 
+0000044113 00000 n 
+0000044266 00000 n 
+0000044418 00000 n 
+0000044571 00000 n 
+0000044724 00000 n 
+0000044877 00000 n 
+0000045030 00000 n 
+0000045183 00000 n 
+0000045334 00000 n 
+0000045482 00000 n 
+0000045633 00000 n 
+0000045785 00000 n 
+0000047056 00000 n 
+0000046402 00000 n 
+0000046090 00000 n 
+0000047003 00000 n 
+0000046550 00000 n 
+0000046700 00000 n 
 0000046852 00000 n 
-0000047004 00000 n 
-0000047157 00000 n 
-0000049796 00000 n 
-0000049365 00000 n 
-0000047448 00000 n 
-0000049686 00000 n 
-0000049739 00000 n 
-0000049497 00000 n 
-0001310985 00000 n 
-0000053764 00000 n 
-0000052672 00000 n 
-0000049894 00000 n 
-0000053544 00000 n 
-0000052828 00000 n 
-0001198416 00000 n 
-0001186222 00000 n 
-0001198252 00000 n 
-0000052981 00000 n 
-0000053153 00000 n 
-0000053345 00000 n 
-0001185972 00000 n 
-0001183566 00000 n 
-0001185811 00000 n 
-0000053703 00000 n 
-0000059332 00000 n 
-0000057303 00000 n 
-0000053899 00000 n 
-0000059164 00000 n 
-0000057499 00000 n 
-0000057677 00000 n 
-0000057867 00000 n 
-0000058063 00000 n 
-0000058259 00000 n 
-0000058463 00000 n 
-0000058665 00000 n 
-0000059272 00000 n 
-0000058818 00000 n 
-0000058991 00000 n 
-0000062045 00000 n 
-0000060863 00000 n 
-0000059480 00000 n 
-0000061992 00000 n 
-0000061027 00000 n 
-0000061210 00000 n 
-0000061408 00000 n 
-0000061606 00000 n 
-0000061803 00000 n 
-0000062568 00000 n 
-0000062347 00000 n 
-0000062130 00000 n 
-0000062459 00000 n 
-0000065767 00000 n 
-0000064454 00000 n 
-0000062653 00000 n 
-0000065548 00000 n 
-0000065653 00000 n 
-0000064626 00000 n 
-0000065710 00000 n 
-0000064785 00000 n 
-0000064936 00000 n 
-0000065089 00000 n 
-0000065241 00000 n 
-0000065395 00000 n 
-0000070461 00000 n 
-0000068218 00000 n 
-0000065865 00000 n 
-0000069897 00000 n 
-0000070002 00000 n 
-0000068406 00000 n 
-0000068579 00000 n 
-0000068773 00000 n 
-0000068967 00000 n 
-0000069161 00000 n 
-0000070059 00000 n 
-0000070116 00000 n 
-0000070173 00000 n 
-0000070230 00000 n 
-0000070287 00000 n 
-0000069350 00000 n 
-0000069547 00000 n 
-0000069745 00000 n 
-0000070344 00000 n 
-0000070400 00000 n 
-0001311103 00000 n 
-0000074215 00000 n 
-0000072931 00000 n 
-0000070622 00000 n 
-0000073598 00000 n 
-0000073651 00000 n 
-0000073704 00000 n 
-0000073761 00000 n 
-0000073079 00000 n 
-0000073818 00000 n 
-0000073875 00000 n 
-0000073932 00000 n 
-0000073261 00000 n 
-0000074045 00000 n 
-0000073410 00000 n 
-0000074102 00000 n 
-0000074158 00000 n 
-0000077612 00000 n 
-0000076471 00000 n 
-0000074339 00000 n 
-0000076995 00000 n 
-0000077048 00000 n 
-0000077101 00000 n 
-0000077158 00000 n 
-0000077215 00000 n 
-0000076611 00000 n 
-0000076796 00000 n 
-0000077272 00000 n 
-0000077329 00000 n 
-0000077386 00000 n 
-0000077442 00000 n 
-0000077499 00000 n 
-0000077556 00000 n 
-0000080555 00000 n 
-0000079689 00000 n 
-0000077710 00000 n 
-0000080164 00000 n 
-0000080217 00000 n 
-0000080270 00000 n 
-0000080327 00000 n 
-0000079829 00000 n 
-0000080384 00000 n 
-0000080441 00000 n 
-0000080498 00000 n 
-0000080012 00000 n 
-0000084179 00000 n 
-0000082767 00000 n 
-0000080666 00000 n 
-0000083618 00000 n 
-0000083723 00000 n 
-0000082923 00000 n 
-0000083780 00000 n 
-0000083837 00000 n 
-0000083096 00000 n 
-0000083280 00000 n 
-0000083894 00000 n 
-0000083951 00000 n 
-0000083464 00000 n 
-0000084008 00000 n 
-0000084065 00000 n 
-0000084122 00000 n 
-0000087389 00000 n 
-0000086108 00000 n 
-0000084277 00000 n 
-0000086828 00000 n 
-0000086881 00000 n 
-0000086934 00000 n 
-0000086991 00000 n 
-0000087048 00000 n 
-0000087105 00000 n 
-0000086256 00000 n 
-0000086447 00000 n 
-0000087161 00000 n 
-0000087218 00000 n 
-0000086646 00000 n 
-0000087275 00000 n 
-0000087332 00000 n 
-0000089307 00000 n 
-0000088516 00000 n 
-0000087487 00000 n 
-0000089141 00000 n 
-0000089194 00000 n 
-0000088664 00000 n 
-0000088818 00000 n 
-0000088970 00000 n 
-0001311221 00000 n 
-0000092144 00000 n 
-0000091068 00000 n 
-0000089405 00000 n 
-0000091359 00000 n 
-0000091200 00000 n 
-0000091575 00000 n 
-0000091632 00000 n 
-0000091689 00000 n 
-0000091746 00000 n 
-0000091803 00000 n 
-0000091860 00000 n 
-0000091916 00000 n 
-0000091973 00000 n 
-0000092030 00000 n 
-0000092087 00000 n 
-0000095743 00000 n 
-0000095059 00000 n 
-0000092255 00000 n 
-0000095349 00000 n 
-0000095458 00000 n 
-0000095515 00000 n 
-0000095572 00000 n 
-0000095191 00000 n 
-0000095629 00000 n 
-0001182912 00000 n 
-0000095686 00000 n 
-0001181656 00000 n 
-0000099585 00000 n 
-0000098577 00000 n 
-0000095880 00000 n 
-0000099022 00000 n 
-0000099075 00000 n 
-0000099132 00000 n 
-0000099189 00000 n 
-0000099358 00000 n 
-0000099415 00000 n 
-0000098717 00000 n 
-0000099472 00000 n 
-0000098870 00000 n 
-0000108882 00000 n 
-0000102946 00000 n 
-0000102326 00000 n 
-0000099709 00000 n 
-0000102438 00000 n 
-0000102491 00000 n 
-0000102548 00000 n 
-0000102605 00000 n 
-0000102662 00000 n 
-0000102719 00000 n 
-0000102776 00000 n 
-0000102833 00000 n 
-0000102890 00000 n 
-0000105926 00000 n 
-0000105539 00000 n 
-0000103044 00000 n 
-0000105651 00000 n 
-0000105704 00000 n 
-0000105757 00000 n 
-0000105813 00000 n 
-0000108995 00000 n 
-0000108606 00000 n 
-0000106024 00000 n 
-0000108718 00000 n 
-0000108938 00000 n 
-0001311339 00000 n 
-0000112752 00000 n 
-0000111967 00000 n 
-0000109106 00000 n 
-0000112420 00000 n 
-0000112473 00000 n 
-0000112107 00000 n 
-0000112526 00000 n 
-0000112583 00000 n 
-0000112695 00000 n 
-0000112261 00000 n 
-0000115272 00000 n 
-0000115328 00000 n 
-0000115107 00000 n 
-0000112876 00000 n 
-0000115219 00000 n 
-0000117664 00000 n 
-0000117499 00000 n 
-0000115465 00000 n 
-0000117611 00000 n 
-0000120779 00000 n 
-0000120383 00000 n 
-0000117775 00000 n 
-0000120669 00000 n 
-0000120722 00000 n 
-0000120515 00000 n 
-0000123800 00000 n 
-0000123091 00000 n 
-0000120903 00000 n 
-0000123576 00000 n 
-0000123231 00000 n 
-0000123629 00000 n 
-0000123686 00000 n 
-0000123385 00000 n 
-0000123743 00000 n 
-0000325967 00000 n 
-0000126139 00000 n 
-0000125679 00000 n 
-0000123937 00000 n 
-0000125795 00000 n 
-0000126016 00000 n 
-0001180703 00000 n 
-0001177922 00000 n 
-0001180523 00000 n 
-0001177329 00000 n 
-0001174524 00000 n 
-0001177149 00000 n 
-0001174100 00000 n 
-0001171392 00000 n 
-0001173932 00000 n 
-0001170991 00000 n 
-0001167842 00000 n 
-0001170824 00000 n 
-0000126080 00000 n 
-0001311457 00000 n 
-0000130564 00000 n 
-0000129030 00000 n 
-0000126294 00000 n 
-0000130334 00000 n 
-0000130389 00000 n 
-0000129221 00000 n 
-0000129384 00000 n 
-0000129540 00000 n 
-0000129698 00000 n 
-0000129856 00000 n 
-0000130014 00000 n 
-0000130174 00000 n 
-0000130448 00000 n 
-0001121592 00000 n 
-0001121655 00000 n 
-0001122283 00000 n 
-0000132555 00000 n 
-0000132042 00000 n 
-0000130676 00000 n 
-0000132500 00000 n 
-0000132188 00000 n 
-0000132344 00000 n 
-0001122221 00000 n 
-0000138334 00000 n 
-0000136408 00000 n 
-0000132667 00000 n 
-0000137811 00000 n 
-0000137920 00000 n 
-0000137979 00000 n 
-0000138038 00000 n 
-0000136599 00000 n 
-0000138096 00000 n 
-0000136754 00000 n 
-0000136908 00000 n 
-0000138155 00000 n 
-0000137090 00000 n 
-0000137242 00000 n 
-0000138214 00000 n 
-0000138273 00000 n 
-0000137424 00000 n 
-0000137615 00000 n 
-0000308568 00000 n 
-0000143918 00000 n 
-0000141615 00000 n 
-0000138483 00000 n 
-0000143749 00000 n 
-0000143804 00000 n 
-0000143859 00000 n 
-0000141851 00000 n 
-0000142010 00000 n 
-0000142169 00000 n 
-0000142328 00000 n 
-0000142487 00000 n 
-0000142642 00000 n 
-0000142796 00000 n 
-0000142956 00000 n 
-0000143116 00000 n 
-0000143274 00000 n 
-0000143432 00000 n 
-0000143590 00000 n 
-0001117594 00000 n 
-0001118035 00000 n 
-0001117972 00000 n 
-0001113964 00000 n 
-0001114467 00000 n 
-0001118161 00000 n 
-0000147344 00000 n 
-0000146698 00000 n 
-0000144056 00000 n 
-0000146990 00000 n 
-0000147045 00000 n 
-0000147104 00000 n 
-0000146835 00000 n 
-0000147163 00000 n 
-0000147222 00000 n 
-0000147281 00000 n 
-0000150722 00000 n 
-0000149965 00000 n 
-0000147506 00000 n 
-0000150081 00000 n 
-0000150136 00000 n 
-0000150191 00000 n 
-0000150250 00000 n 
-0000150309 00000 n 
-0000150368 00000 n 
-0000150427 00000 n 
-0000150486 00000 n 
-0000150545 00000 n 
-0000150604 00000 n 
-0000150663 00000 n 
-0001311582 00000 n 
-0000155473 00000 n 
-0000154166 00000 n 
-0000150821 00000 n 
-0000154828 00000 n 
-0000154883 00000 n 
-0000154938 00000 n 
-0000154321 00000 n 
-0000154997 00000 n 
-0000155056 00000 n 
-0000154521 00000 n 
-0000155115 00000 n 
-0000155174 00000 n 
-0000155233 00000 n 
-0000154676 00000 n 
-0000155292 00000 n 
-0000155351 00000 n 
-0000155410 00000 n 
-0000171810 00000 n 
-0000160404 00000 n 
-0000158584 00000 n 
-0000155635 00000 n 
-0000159703 00000 n 
-0000159758 00000 n 
-0000159817 00000 n 
-0000159934 00000 n 
-0000159993 00000 n 
-0000158766 00000 n 
-0000160052 00000 n 
-0000158921 00000 n 
-0000160111 00000 n 
-0000159077 00000 n 
-0000160168 00000 n 
-0000159233 00000 n 
-0000160227 00000 n 
-0000159390 00000 n 
-0000160286 00000 n 
-0000159546 00000 n 
-0000160345 00000 n 
-0000166502 00000 n 
-0000163744 00000 n 
-0000160568 00000 n 
-0000165685 00000 n 
-0000165740 00000 n 
-0000163971 00000 n 
-0000165795 00000 n 
-0000165854 00000 n 
-0000164126 00000 n 
-0000165913 00000 n 
-0000164283 00000 n 
-0000165971 00000 n 
-0000164439 00000 n 
-0000166030 00000 n 
-0000164595 00000 n 
-0000166089 00000 n 
-0000164752 00000 n 
-0000166148 00000 n 
-0000164908 00000 n 
-0000166207 00000 n 
-0000165064 00000 n 
-0001167266 00000 n 
-0001159432 00000 n 
-0001167101 00000 n 
-0000166266 00000 n 
-0000165219 00000 n 
-0000166325 00000 n 
-0000165373 00000 n 
-0000166384 00000 n 
-0000165529 00000 n 
-0000166443 00000 n 
-0000171869 00000 n 
-0000169490 00000 n 
-0000166654 00000 n 
-0000171111 00000 n 
-0000171166 00000 n 
-0000169699 00000 n 
-0000171221 00000 n 
-0000169855 00000 n 
-0000171280 00000 n 
-0000170012 00000 n 
-0000171339 00000 n 
-0000170169 00000 n 
-0000171398 00000 n 
-0000171457 00000 n 
-0000170326 00000 n 
-0000171516 00000 n 
-0000170483 00000 n 
-0000171575 00000 n 
-0000171634 00000 n 
-0000170640 00000 n 
-0000171693 00000 n 
-0000170797 00000 n 
-0000171751 00000 n 
-0000170954 00000 n 
-0000177363 00000 n 
-0000175189 00000 n 
-0000172021 00000 n 
-0000176665 00000 n 
-0000176720 00000 n 
-0000175389 00000 n 
-0000176775 00000 n 
-0000175545 00000 n 
-0000176834 00000 n 
-0000175700 00000 n 
-0000176893 00000 n 
-0000175857 00000 n 
-0000176952 00000 n 
-0000177011 00000 n 
-0000177070 00000 n 
-0000177129 00000 n 
-0001159072 00000 n 
-0001155075 00000 n 
-0001158905 00000 n 
-0000176012 00000 n 
-0000177188 00000 n 
-0000176166 00000 n 
-0000177247 00000 n 
-0000176321 00000 n 
-0000176477 00000 n 
-0000180485 00000 n 
-0000180202 00000 n 
-0000177515 00000 n 
-0000180318 00000 n 
-0001311707 00000 n 
-0000182660 00000 n 
-0000182083 00000 n 
-0000180584 00000 n 
-0000182542 00000 n 
-0000182229 00000 n 
-0000182389 00000 n 
-0000182597 00000 n 
-0000186274 00000 n 
-0000185255 00000 n 
-0000182796 00000 n 
-0000185872 00000 n 
-0000185981 00000 n 
-0000185410 00000 n 
-0000185565 00000 n 
-0000186040 00000 n 
-0000185718 00000 n 
-0000186157 00000 n 
-0000186215 00000 n 
-0000188552 00000 n 
-0000188381 00000 n 
-0000186400 00000 n 
-0000188497 00000 n 
-0000191920 00000 n 
-0000191633 00000 n 
-0000188651 00000 n 
-0000191749 00000 n 
-0000194158 00000 n 
-0000193987 00000 n 
-0000192085 00000 n 
-0000194103 00000 n 
-0000195207 00000 n 
-0000206502 00000 n 
-0000195091 00000 n 
-0000194257 00000 n 
-0000206335 00000 n 
-0001311832 00000 n 
-0000205337 00000 n 
-0000205482 00000 n 
-0000205586 00000 n 
-0000205689 00000 n 
-0000205794 00000 n 
-0000205903 00000 n 
-0000205983 00000 n 
-0000206069 00000 n 
-0000206092 00000 n 
-0000207521 00000 n 
-0000218433 00000 n 
-0000207405 00000 n 
-0000206630 00000 n 
-0000218324 00000 n 
-0000217343 00000 n 
-0000217471 00000 n 
-0000217575 00000 n 
-0000217678 00000 n 
-0000217783 00000 n 
-0000217892 00000 n 
-0000217972 00000 n 
-0000218058 00000 n 
+0000049532 00000 n 
+0000049100 00000 n 
+0000047142 00000 n 
+0000049422 00000 n 
+0000049475 00000 n 
+0000049232 00000 n 
+0001912050 00000 n 
+0000053478 00000 n 
+0000052386 00000 n 
+0000049632 00000 n 
+0000053258 00000 n 
+0000052542 00000 n 
+0001795516 00000 n 
+0001783322 00000 n 
+0001795352 00000 n 
+0000052695 00000 n 
+0000052867 00000 n 
+0000053059 00000 n 
+0001783072 00000 n 
+0001780667 00000 n 
+0001782911 00000 n 
+0000053417 00000 n 
+0000059060 00000 n 
+0000057024 00000 n 
+0000053615 00000 n 
+0000058890 00000 n 
+0000057220 00000 n 
+0000057399 00000 n 
+0000057590 00000 n 
+0000057787 00000 n 
+0000057983 00000 n 
+0000058187 00000 n 
+0000058388 00000 n 
+0000058999 00000 n 
+0000058542 00000 n 
+0000058716 00000 n 
+0000061796 00000 n 
+0000060616 00000 n 
+0000059211 00000 n 
+0000061743 00000 n 
+0000060780 00000 n 
+0000060961 00000 n 
+0000061159 00000 n 
+0000061357 00000 n 
+0000061554 00000 n 
+0000062320 00000 n 
+0000062099 00000 n 
+0000061882 00000 n 
+0000062211 00000 n 
+0000065561 00000 n 
+0000064246 00000 n 
+0000062406 00000 n 
+0000065342 00000 n 
+0000065447 00000 n 
+0000064418 00000 n 
+0000065504 00000 n 
+0000064576 00000 n 
+0000064728 00000 n 
+0000064882 00000 n 
+0000065035 00000 n 
+0000065189 00000 n 
+0000070223 00000 n 
+0000067975 00000 n 
+0000065661 00000 n 
+0000069659 00000 n 
+0000069764 00000 n 
+0000068163 00000 n 
+0000068337 00000 n 
+0000068531 00000 n 
+0000068725 00000 n 
+0000068919 00000 n 
+0000069821 00000 n 
+0000069878 00000 n 
+0000069935 00000 n 
+0000069992 00000 n 
+0000070049 00000 n 
+0000069111 00000 n 
+0000069308 00000 n 
+0000069507 00000 n 
+0000070105 00000 n 
+0000070162 00000 n 
+0001912168 00000 n 
+0000073957 00000 n 
+0000072673 00000 n 
+0000070387 00000 n 
+0000073340 00000 n 
+0000073393 00000 n 
+0000073446 00000 n 
+0000073503 00000 n 
+0000072821 00000 n 
+0000073560 00000 n 
+0000073616 00000 n 
+0000073673 00000 n 
+0000073004 00000 n 
+0000073786 00000 n 
+0000073153 00000 n 
+0000073843 00000 n 
+0000073900 00000 n 
+0000077338 00000 n 
+0000076196 00000 n 
+0000074084 00000 n 
+0000076719 00000 n 
+0000076772 00000 n 
+0000076825 00000 n 
+0000076882 00000 n 
+0000076939 00000 n 
+0000076336 00000 n 
+0000076521 00000 n 
+0000076996 00000 n 
+0000077053 00000 n 
+0000077110 00000 n 
+0000077167 00000 n 
+0000077224 00000 n 
+0000077281 00000 n 
+0000080245 00000 n 
+0000079382 00000 n 
+0000077438 00000 n 
+0000079855 00000 n 
+0000079908 00000 n 
+0000079961 00000 n 
+0000080018 00000 n 
+0000079522 00000 n 
+0000080075 00000 n 
+0000080131 00000 n 
+0000080188 00000 n 
+0000079704 00000 n 
+0000083901 00000 n 
+0000082491 00000 n 
+0000080359 00000 n 
+0000083341 00000 n 
+0000083446 00000 n 
+0000082647 00000 n 
+0000083503 00000 n 
+0000083560 00000 n 
+0000082819 00000 n 
+0000083003 00000 n 
+0000083617 00000 n 
+0000083674 00000 n 
+0000083187 00000 n 
+0000083731 00000 n 
+0000083788 00000 n 
+0000083844 00000 n 
+0000086912 00000 n 
+0000085630 00000 n 
+0000084001 00000 n 
+0000086351 00000 n 
+0000086404 00000 n 
+0000086457 00000 n 
+0000086514 00000 n 
+0000086571 00000 n 
+0000086628 00000 n 
+0000085778 00000 n 
+0000085970 00000 n 
+0000086684 00000 n 
+0000086741 00000 n 
+0000086169 00000 n 
+0000086798 00000 n 
+0000086855 00000 n 
+0000088849 00000 n 
+0000088059 00000 n 
+0000087012 00000 n 
+0000088683 00000 n 
+0000088736 00000 n 
+0000088207 00000 n 
+0000088360 00000 n 
+0000088512 00000 n 
+0001912286 00000 n 
+0000091714 00000 n 
+0000090637 00000 n 
+0000088949 00000 n 
+0000090927 00000 n 
+0000090769 00000 n 
+0000091144 00000 n 
+0000091201 00000 n 
+0000091258 00000 n 
+0000091315 00000 n 
+0000091372 00000 n 
+0000091429 00000 n 
+0000091486 00000 n 
+0000091543 00000 n 
+0000091600 00000 n 
+0000091657 00000 n 
+0000095236 00000 n 
+0000094554 00000 n 
+0000091828 00000 n 
+0000094845 00000 n 
+0000094952 00000 n 
+0000095009 00000 n 
+0000095066 00000 n 
+0000094686 00000 n 
+0000095123 00000 n 
+0001779983 00000 n 
+0000095180 00000 n 
+0000099018 00000 n 
+0000098015 00000 n 
+0000095364 00000 n 
+0000098458 00000 n 
+0000098511 00000 n 
+0000098568 00000 n 
+0000098625 00000 n 
+0000098793 00000 n 
+0000098850 00000 n 
+0000098155 00000 n 
+0000098906 00000 n 
+0000098306 00000 n 
+0000108176 00000 n 
+0000102274 00000 n 
+0000101655 00000 n 
+0000099131 00000 n 
+0000101767 00000 n 
+0000101820 00000 n 
+0000101877 00000 n 
+0000101933 00000 n 
+0000101990 00000 n 
+0000102047 00000 n 
+0000102104 00000 n 
+0000102160 00000 n 
+0000102217 00000 n 
+0000105242 00000 n 
+0000104854 00000 n 
+0000102374 00000 n 
+0000104966 00000 n 
+0000105019 00000 n 
+0000105072 00000 n 
+0000105129 00000 n 
+0000108290 00000 n 
+0000107899 00000 n 
+0000105356 00000 n 
+0000108011 00000 n 
+0000108233 00000 n 
+0001912404 00000 n 
+0000112056 00000 n 
+0000111271 00000 n 
+0000108404 00000 n 
+0000111724 00000 n 
+0000111777 00000 n 
+0000111411 00000 n 
+0000111830 00000 n 
+0000111887 00000 n 
+0000111999 00000 n 
+0000111565 00000 n 
+0000114703 00000 n 
+0000114760 00000 n 
+0000114538 00000 n 
+0000112197 00000 n 
+0000114650 00000 n 
+0000117196 00000 n 
+0000117031 00000 n 
+0000114901 00000 n 
+0000117143 00000 n 
+0000120356 00000 n 
+0000119961 00000 n 
+0000117309 00000 n 
+0000120247 00000 n 
+0000120300 00000 n 
+0000120093 00000 n 
+0000123324 00000 n 
+0000122616 00000 n 
+0000120497 00000 n 
+0000123100 00000 n 
+0000122756 00000 n 
+0000123153 00000 n 
+0000123210 00000 n 
+0000122910 00000 n 
+0000123267 00000 n 
+0000324487 00000 n 
+0000125627 00000 n 
+0000125178 00000 n 
+0000123450 00000 n 
+0000125291 00000 n 
+0000125507 00000 n 
+0001778468 00000 n 
+0001775688 00000 n 
+0001778288 00000 n 
+0001775095 00000 n 
+0001772291 00000 n 
+0001774915 00000 n 
+0001771867 00000 n 
+0001769158 00000 n 
+0001771699 00000 n 
+0001768757 00000 n 
+0001765609 00000 n 
+0001768590 00000 n 
+0000125569 00000 n 
+0001912522 00000 n 
+0000129955 00000 n 
+0000128419 00000 n 
+0000125785 00000 n 
+0000129725 00000 n 
+0000129780 00000 n 
+0000128610 00000 n 
+0000128773 00000 n 
+0000128931 00000 n 
+0000129089 00000 n 
+0000129247 00000 n 
+0000129405 00000 n 
+0000129565 00000 n 
+0000129839 00000 n 
+0000773765 00000 n 
+0000773828 00000 n 
+0000774457 00000 n 
+0000131851 00000 n 
+0000131336 00000 n 
+0000130070 00000 n 
+0000131796 00000 n 
+0000131482 00000 n 
+0000131639 00000 n 
+0000774394 00000 n 
+0000137552 00000 n 
+0000135622 00000 n 
+0000131966 00000 n 
+0000137027 00000 n 
+0000137136 00000 n 
+0000137195 00000 n 
+0000137254 00000 n 
+0000135813 00000 n 
+0000137313 00000 n 
+0000135968 00000 n 
+0000136123 00000 n 
+0000137372 00000 n 
+0000136305 00000 n 
+0000136457 00000 n 
+0000137431 00000 n 
+0000137490 00000 n 
+0000136638 00000 n 
+0000136829 00000 n 
+0000306971 00000 n 
+0000143036 00000 n 
+0000140733 00000 n 
+0000137704 00000 n 
+0000142867 00000 n 
+0000142922 00000 n 
+0000142977 00000 n 
+0000140969 00000 n 
+0000141128 00000 n 
+0000141287 00000 n 
+0000141446 00000 n 
+0000141605 00000 n 
+0000141759 00000 n 
+0000141914 00000 n 
+0000142074 00000 n 
+0000142234 00000 n 
+0000142392 00000 n 
+0000142549 00000 n 
+0000142708 00000 n 
+0000766884 00000 n 
+0000770143 00000 n 
+0000770080 00000 n 
+0000766192 00000 n 
+0000766632 00000 n 
+0000770269 00000 n 
+0000146367 00000 n 
+0000145723 00000 n 
+0000143178 00000 n 
+0000146013 00000 n 
+0000146068 00000 n 
+0000146127 00000 n 
+0000145860 00000 n 
+0000146186 00000 n 
+0000146245 00000 n 
+0000146304 00000 n 
+0000149702 00000 n 
+0000148946 00000 n 
+0000146533 00000 n 
+0000149062 00000 n 
+0000149117 00000 n 
+0000149172 00000 n 
+0000149231 00000 n 
+0000149290 00000 n 
+0000149349 00000 n 
+0000149408 00000 n 
+0000149467 00000 n 
+0000149525 00000 n 
+0000149584 00000 n 
+0000149643 00000 n 
+0001912646 00000 n 
+0000154381 00000 n 
+0000153076 00000 n 
+0000149803 00000 n 
+0000153736 00000 n 
+0000153791 00000 n 
+0000153846 00000 n 
+0000153231 00000 n 
+0000153905 00000 n 
+0000153964 00000 n 
+0000153429 00000 n 
+0000154023 00000 n 
+0000154082 00000 n 
+0000154141 00000 n 
+0000153584 00000 n 
+0000154200 00000 n 
+0000154259 00000 n 
+0000154318 00000 n 
+0000170352 00000 n 
+0000159200 00000 n 
+0000157382 00000 n 
+0000154547 00000 n 
+0000158504 00000 n 
+0000158559 00000 n 
+0000158614 00000 n 
+0000158730 00000 n 
+0000158789 00000 n 
+0000157564 00000 n 
+0000158848 00000 n 
+0000157720 00000 n 
+0000158907 00000 n 
+0000157876 00000 n 
+0000158966 00000 n 
+0000158033 00000 n 
+0000159025 00000 n 
+0000158190 00000 n 
+0000159082 00000 n 
+0000158347 00000 n 
+0000159141 00000 n 
+0000165179 00000 n 
+0000162422 00000 n 
+0000159354 00000 n 
+0000164364 00000 n 
+0000164419 00000 n 
+0000162649 00000 n 
+0000164474 00000 n 
+0000164533 00000 n 
+0000162804 00000 n 
+0000164592 00000 n 
+0000162960 00000 n 
+0000164650 00000 n 
+0000163116 00000 n 
+0000164709 00000 n 
+0000163272 00000 n 
+0000164768 00000 n 
+0000163429 00000 n 
+0000164827 00000 n 
+0000163586 00000 n 
+0000164885 00000 n 
+0000163742 00000 n 
+0001765033 00000 n 
+0001757199 00000 n 
+0001764868 00000 n 
+0000164943 00000 n 
+0000163897 00000 n 
+0000165002 00000 n 
+0000164052 00000 n 
+0000165061 00000 n 
+0000164208 00000 n 
+0000165120 00000 n 
+0000170411 00000 n 
+0000168039 00000 n 
+0000165334 00000 n 
+0000169654 00000 n 
+0000169709 00000 n 
+0000168248 00000 n 
+0000169764 00000 n 
+0000168404 00000 n 
+0000169823 00000 n 
+0000168561 00000 n 
+0000169882 00000 n 
+0000168718 00000 n 
+0000169941 00000 n 
+0000170000 00000 n 
+0000168871 00000 n 
+0000170059 00000 n 
+0000169028 00000 n 
+0000170118 00000 n 
+0000170177 00000 n 
+0000169185 00000 n 
+0000170236 00000 n 
+0000169341 00000 n 
+0000170294 00000 n 
+0000169497 00000 n 
+0000175843 00000 n 
+0000173664 00000 n 
+0000170566 00000 n 
+0000175144 00000 n 
+0000175199 00000 n 
+0000173864 00000 n 
+0000175254 00000 n 
+0000174019 00000 n 
+0000175313 00000 n 
+0000174175 00000 n 
+0000175372 00000 n 
+0000174332 00000 n 
+0000175431 00000 n 
+0000175490 00000 n 
+0000175549 00000 n 
+0000175608 00000 n 
+0001756839 00000 n 
+0001752843 00000 n 
+0001756672 00000 n 
+0000174488 00000 n 
+0000175667 00000 n 
+0000174644 00000 n 
+0000175726 00000 n 
+0000174800 00000 n 
+0000174956 00000 n 
+0000178908 00000 n 
+0000178625 00000 n 
+0000175999 00000 n 
+0000178741 00000 n 
+0001912771 00000 n 
+0000181047 00000 n 
+0000180468 00000 n 
+0000179023 00000 n 
+0000180929 00000 n 
+0000180614 00000 n 
+0000180774 00000 n 
+0000180984 00000 n 
+0000184649 00000 n 
+0000183630 00000 n 
+0000181185 00000 n 
+0000184248 00000 n 
+0000184357 00000 n 
+0000183785 00000 n 
+0000183938 00000 n 
+0000184416 00000 n 
+0000184093 00000 n 
+0000184533 00000 n 
+0000184591 00000 n 
+0000186895 00000 n 
+0000186724 00000 n 
+0000184777 00000 n 
+0000186840 00000 n 
+0000190241 00000 n 
+0000189954 00000 n 
+0000186996 00000 n 
+0000190070 00000 n 
+0000192482 00000 n 
+0000192311 00000 n 
+0000190410 00000 n 
+0000192427 00000 n 
+0000193512 00000 n 
+0000204807 00000 n 
+0000193396 00000 n 
+0000192583 00000 n 
+0000204640 00000 n 
+0001912896 00000 n 
+0000203642 00000 n 
+0000203787 00000 n 
+0000203891 00000 n 
+0000203994 00000 n 
+0000204099 00000 n 
+0000204208 00000 n 
+0000204288 00000 n 
+0000204374 00000 n 
+0000204397 00000 n 
+0000205836 00000 n 
+0000216748 00000 n 
+0000205720 00000 n 
+0000204937 00000 n 
+0000216639 00000 n 
+0000215658 00000 n 
+0000215786 00000 n 
+0000215890 00000 n 
+0000215993 00000 n 
+0000216098 00000 n 
+0000216207 00000 n 
+0000216287 00000 n 
+0000216373 00000 n 
+0000216396 00000 n 
 0000218081 00000 n 
-0000219717 00000 n 
-0000279019 00000 n 
-0000219571 00000 n 
-0000218561 00000 n 
-0000278851 00000 n 
-0000278960 00000 n 
-0000278539 00000 n 
-0000278695 00000 n 
-0000277540 00000 n 
-0000277685 00000 n 
-0000277789 00000 n 
-0000277892 00000 n 
-0000277997 00000 n 
-0000278106 00000 n 
-0000278186 00000 n 
-0000278272 00000 n 
-0000278296 00000 n 
-0000757851 00000 n 
-0000280173 00000 n 
-0000286637 00000 n 
-0000280036 00000 n 
-0000279147 00000 n 
-0000286527 00000 n 
-0000286582 00000 n 
-0000286375 00000 n 
-0000285377 00000 n 
-0000285522 00000 n 
-0000285626 00000 n 
-0000285729 00000 n 
-0000285834 00000 n 
-0000285943 00000 n 
-0000286023 00000 n 
-0000286109 00000 n 
-0000286132 00000 n 
-0000702615 00000 n 
-0000287629 00000 n 
-0000299336 00000 n 
-0000287513 00000 n 
-0000286791 00000 n 
-0000299226 00000 n 
-0000299281 00000 n 
-0000298227 00000 n 
-0000298372 00000 n 
-0000298476 00000 n 
-0000298579 00000 n 
-0000298684 00000 n 
-0000298793 00000 n 
-0000298873 00000 n 
-0000298959 00000 n 
-0000298983 00000 n 
-0000299927 00000 n 
-0000299698 00000 n 
-0000299464 00000 n 
-0000299814 00000 n 
-0000302670 00000 n 
-0000301983 00000 n 
-0000300013 00000 n 
-0000302444 00000 n 
-0000302129 00000 n 
-0000302289 00000 n 
-0000302611 00000 n 
-0001311957 00000 n 
-0000305249 00000 n 
-0000304730 00000 n 
-0000302782 00000 n 
-0000304846 00000 n 
-0000304901 00000 n 
-0000304956 00000 n 
-0000305131 00000 n 
-0000305190 00000 n 
-0000308745 00000 n 
-0000307894 00000 n 
-0000305361 00000 n 
-0000308513 00000 n 
-0000308049 00000 n 
-0000308204 00000 n 
-0000308358 00000 n 
-0000308627 00000 n 
-0000308686 00000 n 
-0000311677 00000 n 
-0000311388 00000 n 
-0000308870 00000 n 
-0000311504 00000 n 
-0000311559 00000 n 
-0000311618 00000 n 
-0000313754 00000 n 
-0000313525 00000 n 
-0000311802 00000 n 
-0000313641 00000 n 
-0000316534 00000 n 
-0000316128 00000 n 
-0000313866 00000 n 
-0000316423 00000 n 
-0000316265 00000 n 
-0000317995 00000 n 
-0000317770 00000 n 
-0000316633 00000 n 
-0000317886 00000 n 
-0001312082 00000 n 
-0000320362 00000 n 
-0000320021 00000 n 
-0000318120 00000 n 
-0000320137 00000 n 
-0000323497 00000 n 
-0000323209 00000 n 
-0000320474 00000 n 
-0000323325 00000 n 
-0000323438 00000 n 
-0000326202 00000 n 
-0000325796 00000 n 
-0000323622 00000 n 
-0000325912 00000 n 
-0000326025 00000 n 
-0000326084 00000 n 
-0000326143 00000 n 
-0000329284 00000 n 
-0000328995 00000 n 
-0000326327 00000 n 
-0000329111 00000 n 
-0000329166 00000 n 
+0000277379 00000 n 
+0000217935 00000 n 
+0000216878 00000 n 
+0000277211 00000 n 
+0000277320 00000 n 
+0000276903 00000 n 
+0000277057 00000 n 
+0000275904 00000 n 
+0000276049 00000 n 
+0000276153 00000 n 
+0000276256 00000 n 
+0000276361 00000 n 
+0000276470 00000 n 
+0000276550 00000 n 
+0000276636 00000 n 
+0000276660 00000 n 
+0001057671 00000 n 
+0000278594 00000 n 
+0000285058 00000 n 
+0000278457 00000 n 
+0000277509 00000 n 
+0000284948 00000 n 
+0000285003 00000 n 
+0000284796 00000 n 
+0000283798 00000 n 
+0000283943 00000 n 
+0000284047 00000 n 
+0000284150 00000 n 
+0000284255 00000 n 
+0000284364 00000 n 
+0000284444 00000 n 
+0000284530 00000 n 
+0000284553 00000 n 
+0000925789 00000 n 
+0000286086 00000 n 
+0000297793 00000 n 
+0000285970 00000 n 
+0000285215 00000 n 
+0000297683 00000 n 
+0000297738 00000 n 
+0000296684 00000 n 
+0000296829 00000 n 
+0000296933 00000 n 
+0000297036 00000 n 
+0000297141 00000 n 
+0000297250 00000 n 
+0000297330 00000 n 
+0000297416 00000 n 
+0000297440 00000 n 
+0000298390 00000 n 
+0000298161 00000 n 
+0000297923 00000 n 
+0000298277 00000 n 
+0000301087 00000 n 
+0000300402 00000 n 
+0000298477 00000 n 
+0000300862 00000 n 
+0000300548 00000 n 
+0000300707 00000 n 
+0000301029 00000 n 
+0001913021 00000 n 
+0000303669 00000 n 
+0000303150 00000 n 
+0000301202 00000 n 
+0000303266 00000 n 
+0000303321 00000 n 
+0000303376 00000 n 
+0000303551 00000 n 
+0000303610 00000 n 
+0000307148 00000 n 
+0000306297 00000 n 
+0000303798 00000 n 
+0000306916 00000 n 
+0000306452 00000 n 
+0000306607 00000 n 
+0000306761 00000 n 
+0000307030 00000 n 
+0000307089 00000 n 
+0000310040 00000 n 
+0000309751 00000 n 
+0000307289 00000 n 
+0000309867 00000 n 
+0000309922 00000 n 
+0000309981 00000 n 
+0000312198 00000 n 
+0000311969 00000 n 
+0000310181 00000 n 
+0000312085 00000 n 
+0000315038 00000 n 
+0000314629 00000 n 
+0000312313 00000 n 
+0000314925 00000 n 
+0000314766 00000 n 
+0000316512 00000 n 
+0000316287 00000 n 
+0000315153 00000 n 
+0000316403 00000 n 
+0001913146 00000 n 
+0000318849 00000 n 
+0000318510 00000 n 
+0000316641 00000 n 
+0000318626 00000 n 
+0000322001 00000 n 
+0000321713 00000 n 
+0000318963 00000 n 
+0000321829 00000 n 
+0000321942 00000 n 
+0000324717 00000 n 
+0000324316 00000 n 
+0000322129 00000 n 
+0000324432 00000 n 
+0000324545 00000 n 
+0000324604 00000 n 
+0000324659 00000 n 
+0000327745 00000 n 
+0000327456 00000 n 
+0000324858 00000 n 
+0000327572 00000 n 
+0000327627 00000 n 
+0000327686 00000 n 
+0000329396 00000 n 
 0000329225 00000 n 
-0000330974 00000 n 
-0000330803 00000 n 
-0000329450 00000 n 
-0000330919 00000 n 
-0000333446 00000 n 
-0000332811 00000 n 
-0000331086 00000 n 
-0000333101 00000 n 
-0000332948 00000 n 
-0000333210 00000 n 
-0000333269 00000 n 
-0000333328 00000 n 
-0000333387 00000 n 
-0001312207 00000 n 
-0000336742 00000 n 
-0000336282 00000 n 
-0000333532 00000 n 
-0000336575 00000 n 
-0000336419 00000 n 
-0001007605 00000 n 
-0000339567 00000 n 
-0000339161 00000 n 
-0000336880 00000 n 
-0000339454 00000 n 
-0000339298 00000 n 
-0001152518 00000 n 
-0001146060 00000 n 
-0001152353 00000 n 
-0000342739 00000 n 
-0000342568 00000 n 
-0000339746 00000 n 
-0000342684 00000 n 
-0001145522 00000 n 
-0001142887 00000 n 
-0001145358 00000 n 
-0000345019 00000 n 
-0000344790 00000 n 
-0000342919 00000 n 
-0000344906 00000 n 
-0000344961 00000 n 
-0000348821 00000 n 
-0000348419 00000 n 
-0000345118 00000 n 
-0000348535 00000 n 
-0000348590 00000 n 
-0000348645 00000 n 
-0000348704 00000 n 
-0000351672 00000 n 
-0000351325 00000 n 
-0000349001 00000 n 
-0000351617 00000 n 
-0000351462 00000 n 
-0001312332 00000 n 
-0000355405 00000 n 
-0000354818 00000 n 
-0000351837 00000 n 
-0000355115 00000 n 
-0001142650 00000 n 
-0001140207 00000 n 
-0001142484 00000 n 
-0000354955 00000 n 
-0000355228 00000 n 
-0000355287 00000 n 
-0000355346 00000 n 
-0000359420 00000 n 
-0000359133 00000 n 
-0000355599 00000 n 
-0000359249 00000 n 
-0001139964 00000 n 
-0001137692 00000 n 
-0001139801 00000 n 
-0000363172 00000 n 
-0000362646 00000 n 
-0000359600 00000 n 
-0000362938 00000 n 
-0000362783 00000 n 
-0000363109 00000 n 
-0001136469 00000 n 
-0001133381 00000 n 
-0001136302 00000 n 
-0001132205 00000 n 
-0001130200 00000 n 
-0001132038 00000 n 
-0000364844 00000 n 
-0000364673 00000 n 
-0000363417 00000 n 
-0000364789 00000 n 
-0000366344 00000 n 
-0000366173 00000 n 
-0000364930 00000 n 
-0000366289 00000 n 
-0000370136 00000 n 
-0000368720 00000 n 
-0000366456 00000 n 
-0000369497 00000 n 
-0000368884 00000 n 
-0000369036 00000 n 
-0000369606 00000 n 
-0000369665 00000 n 
-0000369724 00000 n 
-0000369783 00000 n 
-0000369842 00000 n 
-0000369900 00000 n 
-0000369959 00000 n 
-0000370018 00000 n 
-0000369187 00000 n 
-0000370077 00000 n 
-0000369342 00000 n 
-0001312457 00000 n 
-0000372806 00000 n 
-0000373105 00000 n 
-0000372635 00000 n 
-0000370248 00000 n 
-0000372751 00000 n 
-0000372870 00000 n 
-0000372987 00000 n 
-0000373046 00000 n 
-0000376961 00000 n 
-0000376315 00000 n 
-0000373204 00000 n 
-0000376612 00000 n 
-0000376667 00000 n 
-0000376452 00000 n 
-0000376726 00000 n 
-0000376785 00000 n 
-0000376843 00000 n 
-0000376902 00000 n 
-0000380190 00000 n 
-0000379842 00000 n 
-0000377073 00000 n 
-0000379958 00000 n 
-0000380013 00000 n 
-0000380072 00000 n 
-0000380131 00000 n 
-0000383033 00000 n 
-0000382449 00000 n 
-0000380302 00000 n 
-0000382565 00000 n 
-0000382620 00000 n 
-0000382679 00000 n 
-0000382738 00000 n 
-0000382797 00000 n 
-0000382856 00000 n 
-0000382915 00000 n 
-0000382974 00000 n 
-0000385475 00000 n 
-0000385245 00000 n 
-0000383145 00000 n 
-0000385361 00000 n 
-0000385416 00000 n 
-0000387775 00000 n 
-0000387486 00000 n 
-0000385587 00000 n 
-0000387602 00000 n 
-0000387657 00000 n 
-0000387716 00000 n 
-0001312582 00000 n 
-0000391611 00000 n 
-0000390523 00000 n 
-0000387887 00000 n 
-0000391326 00000 n 
-0000391381 00000 n 
-0000391436 00000 n 
-0000390687 00000 n 
-0000390839 00000 n 
-0000391005 00000 n 
-0000391170 00000 n 
-0000394248 00000 n 
-0000393784 00000 n 
-0000391749 00000 n 
-0000393900 00000 n 
-0000393955 00000 n 
-0000394014 00000 n 
-0000394073 00000 n 
-0000394132 00000 n 
-0000394189 00000 n 
-0000395302 00000 n 
-0000395131 00000 n 
-0000394399 00000 n 
-0000395247 00000 n 
-0000395841 00000 n 
-0000395612 00000 n 
-0000395388 00000 n 
-0000395728 00000 n 
-0000398549 00000 n 
-0000398089 00000 n 
-0000395927 00000 n 
-0000398205 00000 n 
-0000398372 00000 n 
-0000398431 00000 n 
-0000398490 00000 n 
-0000405208 00000 n 
-0000400394 00000 n 
-0000398661 00000 n 
-0000405153 00000 n 
-0000400774 00000 n 
-0000400929 00000 n 
-0000401085 00000 n 
-0000401240 00000 n 
-0000401396 00000 n 
-0000401552 00000 n 
-0000401709 00000 n 
-0000401865 00000 n 
-0000402021 00000 n 
-0000402176 00000 n 
-0000402332 00000 n 
-0000402489 00000 n 
-0000402646 00000 n 
-0000402803 00000 n 
-0000402960 00000 n 
-0000403117 00000 n 
-0000403273 00000 n 
-0000403429 00000 n 
-0000403586 00000 n 
-0000403743 00000 n 
-0000403899 00000 n 
-0000404056 00000 n 
-0000404213 00000 n 
-0000404368 00000 n 
-0000404525 00000 n 
-0000404682 00000 n 
-0000404839 00000 n 
-0000404996 00000 n 
-0001312707 00000 n 
-0000409312 00000 n 
+0000327902 00000 n 
+0000329341 00000 n 
+0000331900 00000 n 
+0000331266 00000 n 
+0000329497 00000 n 
+0000331556 00000 n 
+0000331403 00000 n 
+0000331665 00000 n 
+0000331723 00000 n 
+0000331782 00000 n 
+0000331841 00000 n 
+0001913271 00000 n 
+0000335136 00000 n 
+0000334676 00000 n 
+0000331987 00000 n 
+0000334969 00000 n 
+0000334813 00000 n 
+0001593906 00000 n 
+0000337909 00000 n 
+0000337503 00000 n 
+0000335277 00000 n 
+0000337796 00000 n 
+0000337640 00000 n 
+0001750286 00000 n 
+0001743828 00000 n 
+0001750121 00000 n 
+0000341071 00000 n 
+0000340900 00000 n 
+0000338091 00000 n 
+0000341016 00000 n 
+0001743318 00000 n 
+0001740833 00000 n 
+0001743154 00000 n 
+0000343305 00000 n 
+0000343075 00000 n 
+0000341253 00000 n 
+0000343191 00000 n 
+0000343246 00000 n 
+0000347014 00000 n 
+0000346613 00000 n 
+0000343406 00000 n 
+0000346729 00000 n 
+0000346784 00000 n 
+0000346839 00000 n 
+0000346898 00000 n 
+0000349794 00000 n 
+0000349447 00000 n 
+0000347196 00000 n 
+0000349739 00000 n 
+0000349584 00000 n 
+0001913396 00000 n 
+0000353566 00000 n 
+0000352979 00000 n 
+0000349962 00000 n 
+0000353276 00000 n 
+0001740596 00000 n 
+0001738152 00000 n 
+0001740430 00000 n 
+0000353116 00000 n 
+0000353389 00000 n 
+0000353448 00000 n 
+0000353507 00000 n 
+0000357505 00000 n 
+0000357218 00000 n 
+0000353762 00000 n 
+0000357334 00000 n 
+0001737909 00000 n 
+0001735634 00000 n 
+0001737746 00000 n 
+0000361301 00000 n 
+0000360775 00000 n 
+0000357687 00000 n 
+0000361067 00000 n 
+0000360912 00000 n 
+0000361238 00000 n 
+0001734411 00000 n 
+0001731323 00000 n 
+0001734244 00000 n 
+0001730147 00000 n 
+0001728144 00000 n 
+0001729980 00000 n 
+0000362796 00000 n 
+0000362625 00000 n 
+0000361564 00000 n 
+0000362741 00000 n 
+0000364291 00000 n 
+0000364120 00000 n 
+0000362883 00000 n 
+0000364236 00000 n 
+0000368082 00000 n 
+0000366668 00000 n 
+0000364406 00000 n 
+0000367444 00000 n 
+0000366832 00000 n 
+0000366983 00000 n 
+0000367553 00000 n 
+0000367612 00000 n 
+0000367671 00000 n 
+0000367729 00000 n 
+0000367788 00000 n 
+0000367846 00000 n 
+0000367905 00000 n 
+0000367964 00000 n 
+0000367135 00000 n 
+0000368023 00000 n 
+0000367289 00000 n 
+0001913521 00000 n 
+0000370713 00000 n 
+0000371011 00000 n 
+0000370542 00000 n 
+0000368197 00000 n 
+0000370658 00000 n 
+0000370776 00000 n 
+0000370893 00000 n 
+0000370952 00000 n 
+0000374782 00000 n 
+0000374136 00000 n 
+0000371112 00000 n 
+0000374433 00000 n 
+0000374488 00000 n 
+0000374273 00000 n 
+0000374546 00000 n 
+0000374605 00000 n 
+0000374664 00000 n 
+0000374723 00000 n 
+0000377971 00000 n 
+0000377623 00000 n 
+0000374897 00000 n 
+0000377739 00000 n 
+0000377794 00000 n 
+0000377853 00000 n 
+0000377912 00000 n 
+0000380712 00000 n 
+0000380129 00000 n 
+0000378086 00000 n 
+0000380245 00000 n 
+0000380300 00000 n 
+0000380358 00000 n 
+0000380417 00000 n 
+0000380476 00000 n 
+0000380535 00000 n 
+0000380594 00000 n 
+0000380653 00000 n 
+0000383081 00000 n 
+0000382851 00000 n 
+0000380826 00000 n 
+0000382967 00000 n 
+0000383022 00000 n 
+0000385328 00000 n 
+0000385039 00000 n 
+0000383196 00000 n 
+0000385155 00000 n 
+0000385210 00000 n 
+0000385269 00000 n 
+0001913646 00000 n 
+0000389218 00000 n 
+0000388127 00000 n 
+0000385443 00000 n 
+0000388933 00000 n 
+0000388988 00000 n 
+0000389043 00000 n 
+0000388291 00000 n 
+0000388444 00000 n 
+0000388611 00000 n 
+0000388777 00000 n 
+0000391822 00000 n 
+0000391357 00000 n 
+0000389360 00000 n 
+0000391473 00000 n 
+0000391528 00000 n 
+0000391587 00000 n 
+0000391646 00000 n 
+0000391705 00000 n 
+0000391764 00000 n 
+0000392827 00000 n 
+0000392656 00000 n 
+0000391976 00000 n 
+0000392772 00000 n 
+0000393371 00000 n 
+0000393142 00000 n 
+0000392914 00000 n 
+0000393258 00000 n 
+0000396051 00000 n 
+0000395592 00000 n 
+0000393458 00000 n 
+0000395708 00000 n 
+0000395874 00000 n 
+0000395933 00000 n 
+0000395992 00000 n 
+0000402471 00000 n 
+0000397666 00000 n 
+0000396166 00000 n 
+0000402416 00000 n 
+0000398046 00000 n 
+0000398202 00000 n 
+0000398357 00000 n 
+0000398513 00000 n 
+0000398669 00000 n 
+0000398825 00000 n 
+0000398981 00000 n 
+0000399137 00000 n 
+0000399293 00000 n 
+0000399446 00000 n 
+0000399602 00000 n 
+0000399758 00000 n 
+0000399914 00000 n 
+0000400067 00000 n 
+0000400222 00000 n 
+0000400378 00000 n 
+0000400534 00000 n 
+0000400691 00000 n 
+0000400848 00000 n 
+0000401005 00000 n 
+0000401162 00000 n 
+0000401318 00000 n 
+0000401475 00000 n 
+0000401632 00000 n 
+0000401789 00000 n 
+0000401946 00000 n 
+0000402103 00000 n 
+0000402260 00000 n 
+0001913771 00000 n 
+0000406466 00000 n 
+0000404817 00000 n 
+0000402598 00000 n 
+0000406293 00000 n 
+0000405017 00000 n 
+0000405173 00000 n 
+0000405330 00000 n 
+0000405486 00000 n 
+0000405642 00000 n 
+0000405797 00000 n 
+0000405954 00000 n 
+0000406111 00000 n 
+0000406348 00000 n 
+0000406407 00000 n 
+0000408303 00000 n 
+0000407345 00000 n 
+0000406581 00000 n 
+0000408130 00000 n 
+0000408185 00000 n 
+0000407509 00000 n 
 0000407664 00000 n 
-0000405333 00000 n 
-0000409139 00000 n 
-0000407864 00000 n 
-0000408018 00000 n 
-0000408174 00000 n 
-0000408331 00000 n 
-0000408487 00000 n 
-0000408644 00000 n 
-0000408800 00000 n 
-0000408957 00000 n 
-0000409194 00000 n 
-0000409253 00000 n 
-0000411139 00000 n 
-0000410187 00000 n 
-0000409437 00000 n 
-0000410966 00000 n 
-0000411021 00000 n 
-0000410351 00000 n 
-0000410504 00000 n 
-0000410657 00000 n 
-0000410815 00000 n 
-0000411080 00000 n 
-0000414309 00000 n 
-0000413907 00000 n 
-0000411251 00000 n 
-0000414023 00000 n 
-0000414132 00000 n 
-0000414191 00000 n 
-0000414250 00000 n 
-0000416501 00000 n 
-0000416153 00000 n 
-0000414434 00000 n 
-0000416269 00000 n 
-0000416324 00000 n 
-0000416383 00000 n 
-0000416442 00000 n 
-0000418979 00000 n 
-0000418128 00000 n 
-0000416613 00000 n 
-0000418747 00000 n 
-0000418802 00000 n 
-0000418861 00000 n 
-0000418283 00000 n 
-0000418436 00000 n 
-0000418589 00000 n 
-0000418920 00000 n 
-0000422101 00000 n 
-0000421699 00000 n 
-0000419117 00000 n 
-0000421815 00000 n 
-0000421924 00000 n 
-0000421983 00000 n 
-0000422042 00000 n 
-0001312832 00000 n 
-0000425208 00000 n 
-0000424978 00000 n 
-0000422226 00000 n 
-0000425094 00000 n 
-0000425149 00000 n 
-0000428368 00000 n 
-0000427576 00000 n 
-0000425414 00000 n 
-0000428195 00000 n 
-0001128884 00000 n 
-0001126964 00000 n 
-0001128719 00000 n 
-0000428250 00000 n 
-0000427731 00000 n 
-0000427884 00000 n 
-0000428036 00000 n 
-0000428309 00000 n 
-0000431946 00000 n 
-0000431061 00000 n 
-0000428588 00000 n 
-0000431601 00000 n 
-0000431710 00000 n 
-0000431769 00000 n 
-0000431828 00000 n 
-0000431207 00000 n 
-0000431405 00000 n 
-0000431887 00000 n 
-0000435196 00000 n 
-0000434849 00000 n 
-0000432071 00000 n 
-0000434965 00000 n 
-0000435020 00000 n 
-0000435079 00000 n 
-0000435138 00000 n 
-0000435950 00000 n 
-0000435720 00000 n 
-0000435334 00000 n 
-0000435836 00000 n 
-0000435891 00000 n 
-0000439279 00000 n 
-0000438257 00000 n 
-0000436049 00000 n 
-0000438876 00000 n 
-0000438985 00000 n 
-0000439044 00000 n 
-0000439103 00000 n 
-0000438412 00000 n 
-0000438568 00000 n 
-0000439162 00000 n 
-0000438721 00000 n 
-0000439220 00000 n 
-0001312957 00000 n 
-0000440570 00000 n 
-0000440108 00000 n 
-0000439391 00000 n 
-0000440397 00000 n 
-0000440452 00000 n 
-0000440245 00000 n 
-0000440511 00000 n 
-0000443165 00000 n 
-0000442587 00000 n 
-0000440682 00000 n 
-0000442703 00000 n 
-0000442812 00000 n 
-0000442871 00000 n 
-0000442930 00000 n 
-0000442989 00000 n 
-0000443047 00000 n 
-0000443106 00000 n 
-0000446015 00000 n 
-0000445554 00000 n 
-0000443303 00000 n 
-0000445670 00000 n 
-0000445779 00000 n 
-0000445838 00000 n 
-0000445897 00000 n 
-0000445956 00000 n 
-0000447607 00000 n 
-0000447079 00000 n 
-0000446127 00000 n 
-0000447375 00000 n 
-0000447430 00000 n 
-0000447489 00000 n 
-0000447216 00000 n 
-0000447548 00000 n 
-0000451718 00000 n 
-0000449901 00000 n 
-0000447719 00000 n 
-0000451318 00000 n 
-0000451484 00000 n 
-0000450092 00000 n 
-0000450273 00000 n 
-0000450432 00000 n 
-0000450592 00000 n 
-0000450774 00000 n 
-0000450955 00000 n 
-0000451136 00000 n 
-0000451543 00000 n 
-0000451602 00000 n 
-0000451660 00000 n 
-0001114656 00000 n 
-0000454897 00000 n 
-0000454429 00000 n 
-0000451830 00000 n 
-0000454720 00000 n 
-0000454775 00000 n 
-0000454566 00000 n 
-0000454834 00000 n 
-0001313082 00000 n 
-0000458231 00000 n 
-0000457721 00000 n 
-0000455073 00000 n 
-0000458176 00000 n 
-0000457867 00000 n 
-0000458022 00000 n 
-0001117720 00000 n 
-0000461028 00000 n 
-0000460739 00000 n 
-0000458343 00000 n 
-0000460855 00000 n 
-0000460910 00000 n 
-0000460969 00000 n 
-0000464631 00000 n 
-0000463632 00000 n 
-0000461140 00000 n 
-0000464400 00000 n 
-0000464455 00000 n 
-0000463787 00000 n 
+0000407819 00000 n 
+0000407979 00000 n 
+0000408244 00000 n 
+0000411293 00000 n 
+0000410891 00000 n 
+0000408418 00000 n 
+0000411007 00000 n 
+0000411116 00000 n 
+0000411175 00000 n 
+0000411234 00000 n 
+0000413708 00000 n 
+0000413101 00000 n 
+0000411394 00000 n 
+0000413417 00000 n 
+0000413472 00000 n 
+0000413531 00000 n 
+0000413590 00000 n 
+0000413238 00000 n 
+0000413649 00000 n 
+0000414582 00000 n 
+0000414411 00000 n 
+0000413849 00000 n 
+0000414527 00000 n 
+0000417446 00000 n 
+0000417044 00000 n 
+0000414669 00000 n 
+0000417160 00000 n 
+0000417269 00000 n 
+0000417328 00000 n 
+0000417387 00000 n 
+0001913896 00000 n 
+0000420343 00000 n 
+0000420113 00000 n 
+0000417561 00000 n 
+0000420229 00000 n 
+0000420284 00000 n 
+0000422735 00000 n 
+0000422246 00000 n 
+0000420511 00000 n 
+0000422562 00000 n 
+0001726828 00000 n 
+0001724908 00000 n 
+0001726663 00000 n 
+0000422617 00000 n 
+0000422676 00000 n 
+0000422383 00000 n 
+0000425694 00000 n 
+0000425292 00000 n 
+0000422917 00000 n 
+0000425408 00000 n 
+0000425517 00000 n 
+0000425576 00000 n 
+0000425635 00000 n 
+0000428593 00000 n 
+0000428363 00000 n 
+0000425809 00000 n 
+0000428479 00000 n 
+0000428534 00000 n 
+0000430986 00000 n 
+0000430497 00000 n 
+0000428761 00000 n 
+0000430813 00000 n 
+0000430868 00000 n 
+0000430927 00000 n 
+0000430634 00000 n 
+0000434251 00000 n 
+0000433285 00000 n 
+0000431168 00000 n 
+0000433789 00000 n 
+0000433898 00000 n 
+0000433957 00000 n 
+0000434015 00000 n 
+0000434074 00000 n 
+0000433431 00000 n 
+0000434133 00000 n 
+0000434192 00000 n 
+0000433610 00000 n 
+0001914021 00000 n 
+0000436832 00000 n 
+0000436255 00000 n 
+0000434392 00000 n 
+0000436371 00000 n 
+0000436480 00000 n 
+0000436539 00000 n 
+0000436597 00000 n 
+0000436655 00000 n 
+0000436714 00000 n 
+0000436773 00000 n 
+0000439523 00000 n 
+0000439062 00000 n 
+0000436974 00000 n 
+0000439178 00000 n 
+0000439287 00000 n 
+0000439346 00000 n 
+0000439405 00000 n 
+0000439464 00000 n 
+0000441596 00000 n 
+0000441049 00000 n 
+0000439638 00000 n 
+0000441364 00000 n 
+0000441419 00000 n 
+0000441478 00000 n 
+0000441186 00000 n 
+0000441537 00000 n 
+0000445690 00000 n 
+0000443874 00000 n 
+0000441737 00000 n 
+0000445287 00000 n 
+0000445454 00000 n 
+0000444065 00000 n 
+0000444246 00000 n 
+0000444406 00000 n 
+0000444565 00000 n 
+0000444745 00000 n 
+0000444925 00000 n 
+0000445105 00000 n 
+0000445513 00000 n 
+0000445572 00000 n 
+0000445631 00000 n 
+0000766821 00000 n 
+0000448787 00000 n 
+0000448319 00000 n 
+0000445805 00000 n 
+0000448610 00000 n 
+0000448665 00000 n 
+0000448456 00000 n 
+0000448724 00000 n 
+0000452042 00000 n 
+0000451531 00000 n 
+0000448968 00000 n 
+0000451987 00000 n 
+0000451677 00000 n 
+0000451832 00000 n 
+0001914146 00000 n 
+0000769828 00000 n 
+0000454817 00000 n 
+0000454528 00000 n 
+0000452157 00000 n 
+0000454644 00000 n 
+0000454699 00000 n 
+0000454758 00000 n 
+0000458397 00000 n 
+0000457399 00000 n 
+0000454932 00000 n 
+0000458165 00000 n 
+0000458220 00000 n 
+0000457554 00000 n 
+0000458279 00000 n 
+0000457750 00000 n 
+0000458338 00000 n 
+0000457947 00000 n 
+0000461765 00000 n 
+0000461295 00000 n 
+0000458512 00000 n 
+0000461588 00000 n 
+0000461643 00000 n 
+0000461432 00000 n 
+0000461702 00000 n 
+0000464627 00000 n 
+0000464397 00000 n 
+0000461957 00000 n 
 0000464513 00000 n 
-0000463984 00000 n 
-0000464572 00000 n 
-0000464181 00000 n 
-0000468106 00000 n 
-0000467636 00000 n 
-0000464743 00000 n 
-0000467929 00000 n 
-0000467984 00000 n 
-0000467773 00000 n 
-0000468043 00000 n 
-0000470967 00000 n 
-0000470737 00000 n 
-0000468307 00000 n 
-0000470853 00000 n 
-0000470908 00000 n 
-0000472002 00000 n 
-0000471831 00000 n 
-0000471093 00000 n 
-0000471947 00000 n 
-0001313207 00000 n 
-0000473695 00000 n 
-0000472936 00000 n 
-0000472101 00000 n 
-0000473232 00000 n 
-0000473341 00000 n 
-0000473400 00000 n 
-0000473459 00000 n 
-0000473518 00000 n 
-0000473577 00000 n 
-0000473073 00000 n 
-0000473636 00000 n 
-0000475881 00000 n 
-0000475305 00000 n 
-0000473807 00000 n 
-0000475421 00000 n 
-0000475530 00000 n 
-0000475587 00000 n 
-0000475645 00000 n 
-0000475704 00000 n 
-0000475763 00000 n 
-0000475822 00000 n 
-0000478858 00000 n 
-0000478162 00000 n 
-0000475980 00000 n 
-0000478454 00000 n 
-0000478563 00000 n 
-0000478622 00000 n 
-0000478681 00000 n 
-0000478740 00000 n 
-0000478299 00000 n 
-0000478799 00000 n 
-0000480815 00000 n 
-0000480353 00000 n 
-0000478970 00000 n 
-0000480642 00000 n 
-0000480697 00000 n 
-0000480490 00000 n 
-0000480756 00000 n 
-0000483228 00000 n 
-0000482826 00000 n 
-0000480953 00000 n 
-0000482942 00000 n 
-0000483051 00000 n 
-0000483110 00000 n 
-0000483169 00000 n 
-0000485811 00000 n 
-0000485069 00000 n 
-0000483340 00000 n 
-0000485521 00000 n 
-0000485576 00000 n 
-0000485215 00000 n 
-0000485635 00000 n 
-0000485693 00000 n 
-0000485370 00000 n 
-0000485752 00000 n 
-0001313332 00000 n 
-0000488452 00000 n 
-0000488050 00000 n 
-0000485949 00000 n 
-0000488166 00000 n 
-0000488275 00000 n 
-0000488334 00000 n 
-0000488393 00000 n 
-0000490918 00000 n 
-0000490234 00000 n 
-0000488618 00000 n 
-0000490687 00000 n 
-0000490742 00000 n 
-0000490800 00000 n 
-0000490380 00000 n 
-0000490535 00000 n 
-0000490859 00000 n 
-0000493511 00000 n 
-0000492536 00000 n 
-0000491043 00000 n 
-0000492989 00000 n 
-0000493098 00000 n 
-0000493157 00000 n 
-0000493216 00000 n 
-0000493275 00000 n 
-0000493334 00000 n 
-0000493393 00000 n 
-0000492682 00000 n 
-0000492837 00000 n 
-0000493452 00000 n 
-0000496880 00000 n 
-0000496107 00000 n 
-0000493623 00000 n 
-0000496771 00000 n 
-0000496262 00000 n 
-0000496417 00000 n 
-0000496572 00000 n 
-0001117846 00000 n 
-0000497668 00000 n 
-0000497497 00000 n 
-0000497032 00000 n 
-0000497613 00000 n 
-0000501192 00000 n 
-0000500341 00000 n 
-0000497741 00000 n 
-0000500966 00000 n 
-0000500496 00000 n 
-0000500653 00000 n 
-0000500809 00000 n 
-0000501075 00000 n 
-0000501133 00000 n 
-0001313457 00000 n 
-0001114341 00000 n 
-0000504328 00000 n 
-0000503142 00000 n 
-0000501317 00000 n 
-0000504096 00000 n 
-0000504151 00000 n 
-0000503315 00000 n 
-0000503472 00000 n 
-0000503628 00000 n 
-0000503785 00000 n 
-0000503940 00000 n 
-0000504210 00000 n 
-0000504269 00000 n 
-0001114153 00000 n 
-0000506109 00000 n 
-0000505820 00000 n 
-0000504453 00000 n 
-0000505936 00000 n 
-0000505991 00000 n 
-0000506050 00000 n 
-0000510245 00000 n 
-0000509613 00000 n 
-0000506195 00000 n 
-0000510072 00000 n 
-0000510127 00000 n 
-0000509759 00000 n 
-0000509915 00000 n 
-0000510186 00000 n 
-0000513585 00000 n 
-0000513296 00000 n 
-0000510450 00000 n 
-0000513412 00000 n 
-0000513467 00000 n 
-0000513526 00000 n 
-0000514758 00000 n 
-0000514528 00000 n 
-0000513736 00000 n 
-0000514644 00000 n 
-0000514699 00000 n 
-0000517861 00000 n 
-0000517400 00000 n 
-0000514857 00000 n 
-0000517516 00000 n 
-0000517625 00000 n 
-0000517684 00000 n 
-0000517743 00000 n 
-0000517802 00000 n 
-0001313582 00000 n 
-0000519695 00000 n 
-0000519465 00000 n 
-0000518000 00000 n 
-0000519581 00000 n 
-0000519636 00000 n 
-0000522423 00000 n 
-0000521965 00000 n 
-0000519781 00000 n 
-0000522254 00000 n 
-0000522309 00000 n 
-0000522102 00000 n 
-0000522364 00000 n 
-0000526261 00000 n 
-0000526032 00000 n 
-0000522601 00000 n 
-0000526148 00000 n 
-0000526203 00000 n 
-0000529632 00000 n 
-0000529402 00000 n 
-0000526494 00000 n 
-0000529518 00000 n 
-0000529573 00000 n 
-0000532002 00000 n 
-0000531568 00000 n 
-0000529852 00000 n 
-0000531888 00000 n 
-0000531943 00000 n 
-0000531705 00000 n 
-0000534998 00000 n 
-0000534655 00000 n 
-0000532127 00000 n 
-0000534771 00000 n 
-0000534880 00000 n 
-0000534939 00000 n 
-0001313707 00000 n 
-0000537011 00000 n 
-0000536663 00000 n 
-0000535137 00000 n 
-0000536779 00000 n 
-0000536834 00000 n 
-0000536893 00000 n 
-0000536952 00000 n 
-0000539288 00000 n 
-0000538826 00000 n 
-0000537110 00000 n 
-0000539115 00000 n 
-0000539170 00000 n 
-0000538963 00000 n 
-0000539229 00000 n 
-0000542499 00000 n 
-0000542269 00000 n 
-0000539426 00000 n 
-0000542385 00000 n 
-0000542440 00000 n 
-0000545825 00000 n 
-0000545595 00000 n 
-0000542718 00000 n 
-0000545711 00000 n 
-0000545766 00000 n 
-0000548705 00000 n 
-0000548271 00000 n 
-0000546045 00000 n 
-0000548591 00000 n 
-0000548646 00000 n 
-0000548408 00000 n 
-0000549606 00000 n 
-0000549435 00000 n 
-0000548869 00000 n 
-0000549551 00000 n 
-0001313832 00000 n 
-0000552759 00000 n 
-0000552017 00000 n 
-0000549692 00000 n 
-0000552473 00000 n 
-0000552163 00000 n 
-0000552319 00000 n 
-0000552582 00000 n 
-0000552641 00000 n 
-0000552700 00000 n 
-0000555593 00000 n 
-0000555363 00000 n 
-0000552898 00000 n 
-0000555479 00000 n 
-0000555534 00000 n 
-0000557322 00000 n 
-0000557033 00000 n 
-0000555757 00000 n 
-0000557149 00000 n 
-0000557204 00000 n 
-0000557263 00000 n 
-0000560707 00000 n 
-0000560477 00000 n 
-0000557421 00000 n 
-0000560593 00000 n 
-0000560648 00000 n 
-0000564167 00000 n 
-0000563937 00000 n 
-0000560900 00000 n 
-0000564053 00000 n 
-0000564108 00000 n 
-0000566903 00000 n 
-0000566673 00000 n 
-0000564386 00000 n 
-0000566789 00000 n 
-0000566844 00000 n 
-0001313957 00000 n 
-0000570302 00000 n 
-0000569559 00000 n 
-0000567108 00000 n 
-0000570016 00000 n 
-0000569705 00000 n 
-0000569860 00000 n 
-0000570125 00000 n 
-0000570184 00000 n 
-0000570243 00000 n 
-0000572892 00000 n 
-0000572662 00000 n 
-0000570454 00000 n 
-0000572778 00000 n 
-0000572833 00000 n 
-0000574283 00000 n 
-0000573994 00000 n 
-0000573043 00000 n 
-0000574110 00000 n 
-0000574165 00000 n 
-0000574224 00000 n 
-0000577651 00000 n 
-0000577421 00000 n 
-0000574382 00000 n 
-0000577537 00000 n 
-0000577592 00000 n 
-0000580435 00000 n 
-0000580206 00000 n 
-0000577830 00000 n 
-0000580322 00000 n 
-0000580377 00000 n 
-0000583353 00000 n 
-0000583123 00000 n 
-0000580640 00000 n 
-0000583239 00000 n 
-0000583294 00000 n 
-0001314082 00000 n 
-0000585976 00000 n 
-0000585515 00000 n 
-0000583558 00000 n 
-0000585631 00000 n 
-0000585740 00000 n 
-0000585799 00000 n 
-0000585858 00000 n 
-0000585917 00000 n 
-0000587238 00000 n 
-0000587008 00000 n 
-0000586128 00000 n 
-0000587124 00000 n 
-0000587179 00000 n 
-0000590953 00000 n 
-0000590723 00000 n 
-0000587324 00000 n 
-0000590839 00000 n 
-0000590894 00000 n 
-0001126735 00000 n 
-0001125296 00000 n 
-0001126571 00000 n 
-0000593954 00000 n 
-0000593666 00000 n 
-0000591174 00000 n 
-0000593782 00000 n 
-0000593837 00000 n 
-0000593895 00000 n 
-0000597762 00000 n 
-0000596751 00000 n 
-0000594159 00000 n 
-0000597535 00000 n 
-0000597644 00000 n 
-0000597703 00000 n 
-0000596915 00000 n 
-0000597070 00000 n 
-0000597225 00000 n 
-0000597380 00000 n 
-0001117657 00000 n 
-0001123363 00000 n 
-0000600520 00000 n 
-0000600232 00000 n 
-0000597914 00000 n 
-0000600348 00000 n 
-0000600403 00000 n 
-0000600462 00000 n 
-0001314207 00000 n 
-0000604053 00000 n 
-0000603418 00000 n 
-0000600726 00000 n 
-0000603875 00000 n 
-0000603564 00000 n 
-0000603719 00000 n 
-0000603930 00000 n 
-0000603989 00000 n 
-0000607739 00000 n 
-0000607510 00000 n 
-0000604272 00000 n 
-0000607626 00000 n 
-0000607681 00000 n 
-0000610352 00000 n 
-0000610122 00000 n 
-0000607973 00000 n 
-0000610238 00000 n 
-0000610293 00000 n 
-0000613467 00000 n 
-0000612725 00000 n 
-0000610516 00000 n 
-0000613183 00000 n 
-0000612871 00000 n 
-0000613027 00000 n 
-0000613292 00000 n 
-0000613351 00000 n 
-0000613409 00000 n 
-0000616322 00000 n 
-0000616151 00000 n 
-0000613592 00000 n 
-0000616267 00000 n 
-0000618832 00000 n 
-0000618484 00000 n 
-0000616434 00000 n 
-0000618600 00000 n 
-0000618655 00000 n 
-0000618714 00000 n 
-0000618773 00000 n 
-0001314332 00000 n 
-0000621511 00000 n 
-0000621222 00000 n 
-0000618957 00000 n 
-0000621338 00000 n 
-0000621393 00000 n 
-0000621452 00000 n 
-0000624380 00000 n 
-0000624091 00000 n 
-0000621717 00000 n 
-0000624207 00000 n 
-0000624262 00000 n 
-0000624321 00000 n 
-0000627441 00000 n 
-0000626534 00000 n 
-0000624558 00000 n 
-0000627155 00000 n 
-0000626689 00000 n 
-0000626844 00000 n 
-0000627264 00000 n 
-0000627323 00000 n 
-0000627382 00000 n 
-0000627000 00000 n 
-0000630519 00000 n 
-0000630348 00000 n 
-0000627566 00000 n 
-0000630464 00000 n 
-0000633160 00000 n 
-0000632931 00000 n 
-0000630644 00000 n 
-0000633047 00000 n 
-0000633102 00000 n 
-0000636351 00000 n 
-0000636004 00000 n 
-0000633285 00000 n 
-0000636120 00000 n 
-0000636175 00000 n 
-0000636234 00000 n 
-0000636293 00000 n 
-0001314457 00000 n 
-0000639240 00000 n 
-0000639010 00000 n 
-0000636557 00000 n 
-0000639126 00000 n 
-0000639181 00000 n 
-0000640634 00000 n 
-0000640404 00000 n 
-0000639459 00000 n 
-0000640520 00000 n 
-0000640575 00000 n 
-0000643565 00000 n 
-0000642821 00000 n 
-0000640746 00000 n 
-0000643279 00000 n 
-0000642967 00000 n 
-0000643123 00000 n 
-0000643388 00000 n 
-0000643447 00000 n 
-0000643506 00000 n 
-0000646179 00000 n 
-0000646008 00000 n 
-0000643690 00000 n 
-0000646124 00000 n 
-0000648745 00000 n 
-0000648397 00000 n 
-0000646291 00000 n 
-0000648513 00000 n 
-0000648568 00000 n 
-0000648627 00000 n 
-0000648686 00000 n 
-0000651938 00000 n 
-0000651708 00000 n 
-0000648870 00000 n 
-0000651824 00000 n 
-0000651879 00000 n 
-0001314582 00000 n 
-0000654662 00000 n 
-0000654373 00000 n 
-0000652131 00000 n 
-0000654489 00000 n 
-0000654544 00000 n 
-0000654603 00000 n 
-0000659110 00000 n 
-0000657201 00000 n 
-0000654813 00000 n 
-0000658824 00000 n 
-0000658933 00000 n 
-0000658992 00000 n 
-0000657410 00000 n 
-0000657567 00000 n 
-0000657725 00000 n 
-0000657882 00000 n 
-0000658040 00000 n 
-0000658197 00000 n 
-0000658354 00000 n 
-0000658510 00000 n 
-0000658667 00000 n 
-0000659051 00000 n 
-0001123489 00000 n 
-0001114027 00000 n 
-0001121718 00000 n 
-0000661428 00000 n 
-0000661139 00000 n 
-0000659222 00000 n 
-0000661255 00000 n 
-0000661310 00000 n 
-0000661369 00000 n 
-0000664574 00000 n 
-0000664344 00000 n 
-0000661661 00000 n 
-0000664460 00000 n 
-0000664515 00000 n 
-0000667465 00000 n 
-0000667236 00000 n 
-0000664794 00000 n 
-0000667352 00000 n 
-0000667407 00000 n 
-0000668557 00000 n 
-0000668386 00000 n 
-0000667643 00000 n 
-0000668502 00000 n 
-0001314707 00000 n 
-0000671372 00000 n 
-0000670792 00000 n 
-0000668643 00000 n 
-0000671086 00000 n 
-0000670929 00000 n 
-0000671195 00000 n 
-0000671254 00000 n 
-0000671313 00000 n 
-0000674365 00000 n 
-0000674194 00000 n 
-0000671497 00000 n 
-0000674310 00000 n 
-0000676982 00000 n 
-0000676634 00000 n 
-0000674490 00000 n 
-0000676750 00000 n 
-0000676805 00000 n 
-0000676864 00000 n 
-0000676923 00000 n 
-0000679509 00000 n 
-0000679279 00000 n 
-0000677107 00000 n 
-0000679395 00000 n 
-0000679450 00000 n 
-0000682138 00000 n 
-0000681849 00000 n 
-0000679716 00000 n 
-0000681965 00000 n 
-0000682020 00000 n 
-0000682079 00000 n 
-0000685278 00000 n 
-0000684698 00000 n 
-0000682289 00000 n 
-0000684992 00000 n 
-0000684835 00000 n 
-0000685101 00000 n 
-0000685160 00000 n 
-0000685219 00000 n 
-0001314832 00000 n 
-0000688340 00000 n 
-0000688169 00000 n 
-0000685430 00000 n 
-0000688285 00000 n 
-0000690976 00000 n 
-0000690628 00000 n 
-0000688465 00000 n 
-0000690744 00000 n 
-0000690799 00000 n 
-0000690858 00000 n 
-0000690917 00000 n 
-0000693871 00000 n 
-0000693641 00000 n 
-0000691101 00000 n 
-0000693757 00000 n 
-0000693812 00000 n 
-0000696517 00000 n 
-0000696228 00000 n 
-0000694078 00000 n 
-0000696344 00000 n 
-0000696399 00000 n 
-0000696458 00000 n 
-0000701026 00000 n 
-0000698892 00000 n 
-0000696668 00000 n 
-0000700681 00000 n 
-0000699110 00000 n 
-0000700790 00000 n 
-0000700849 00000 n 
-0000699267 00000 n 
-0000699424 00000 n 
-0000699582 00000 n 
-0000699739 00000 n 
-0000699897 00000 n 
-0000700054 00000 n 
-0000700211 00000 n 
-0000700367 00000 n 
-0000700524 00000 n 
-0000700908 00000 n 
-0000700967 00000 n 
-0000702674 00000 n 
-0000702385 00000 n 
-0000701138 00000 n 
-0000702501 00000 n 
-0000702556 00000 n 
-0001314957 00000 n 
-0000705709 00000 n 
-0000705420 00000 n 
-0000702760 00000 n 
-0000705536 00000 n 
-0000705591 00000 n 
-0000705650 00000 n 
-0000709155 00000 n 
-0000708926 00000 n 
-0000705942 00000 n 
-0000709042 00000 n 
-0000709097 00000 n 
-0000711592 00000 n 
-0000711363 00000 n 
-0000709375 00000 n 
-0000711479 00000 n 
-0000711534 00000 n 
-0000714714 00000 n 
-0000714193 00000 n 
-0000711730 00000 n 
-0000714487 00000 n 
-0000714330 00000 n 
-0000714596 00000 n 
-0000714655 00000 n 
-0000717246 00000 n 
-0000716898 00000 n 
-0000714839 00000 n 
-0000717014 00000 n 
-0000717069 00000 n 
-0000717128 00000 n 
-0000717187 00000 n 
-0000719758 00000 n 
-0000719469 00000 n 
-0000717371 00000 n 
-0000719585 00000 n 
-0000719640 00000 n 
-0000719699 00000 n 
-0001315082 00000 n 
-0000722399 00000 n 
-0000722110 00000 n 
-0000719978 00000 n 
-0000722226 00000 n 
-0000722281 00000 n 
-0000722340 00000 n 
-0000725017 00000 n 
-0000724787 00000 n 
-0000722619 00000 n 
-0000724903 00000 n 
-0000724958 00000 n 
-0000728621 00000 n 
-0000727608 00000 n 
-0000725155 00000 n 
-0000728396 00000 n 
-0000728505 00000 n 
-0000728563 00000 n 
-0000727772 00000 n 
-0000727928 00000 n 
-0000728084 00000 n 
-0000728240 00000 n 
-0000731599 00000 n 
-0000731310 00000 n 
-0000728773 00000 n 
-0000731426 00000 n 
-0000731481 00000 n 
-0000731540 00000 n 
-0000735085 00000 n 
-0000734855 00000 n 
-0000731818 00000 n 
-0000734971 00000 n 
-0000735026 00000 n 
-0000738466 00000 n 
-0000738236 00000 n 
-0000735318 00000 n 
-0000738352 00000 n 
-0000738407 00000 n 
-0001315207 00000 n 
-0000740754 00000 n 
-0000740524 00000 n 
-0000738700 00000 n 
-0000740640 00000 n 
-0000740695 00000 n 
-0000745838 00000 n 
-0000743210 00000 n 
-0000740932 00000 n 
-0000745493 00000 n 
-0000745602 00000 n 
-0000745661 00000 n 
-0000743455 00000 n 
-0000743613 00000 n 
-0000743771 00000 n 
-0000743925 00000 n 
-0000744081 00000 n 
-0000744237 00000 n 
-0000744392 00000 n 
-0000744549 00000 n 
-0000744707 00000 n 
-0000744864 00000 n 
-0000745021 00000 n 
-0000745177 00000 n 
-0000745335 00000 n 
-0000745720 00000 n 
-0000745779 00000 n 
-0000747728 00000 n 
-0000747325 00000 n 
-0000745963 00000 n 
-0000747614 00000 n 
-0000747669 00000 n 
-0000747462 00000 n 
-0000750983 00000 n 
-0000750635 00000 n 
-0000747814 00000 n 
-0000750751 00000 n 
-0000750806 00000 n 
-0000750865 00000 n 
-0000750924 00000 n 
-0000754062 00000 n 
-0000753833 00000 n 
-0000751202 00000 n 
-0000753949 00000 n 
-0000754004 00000 n 
-0000755419 00000 n 
-0000755248 00000 n 
-0000754281 00000 n 
-0000755364 00000 n 
-0001315332 00000 n 
-0000757969 00000 n 
-0000757330 00000 n 
-0000755518 00000 n 
-0000757624 00000 n 
-0000757467 00000 n 
-0000757733 00000 n 
-0000757792 00000 n 
-0000757910 00000 n 
-0000759609 00000 n 
-0000759379 00000 n 
-0000758081 00000 n 
-0000759495 00000 n 
-0000759550 00000 n 
-0000762517 00000 n 
-0000762228 00000 n 
-0000759708 00000 n 
-0000762344 00000 n 
-0000762399 00000 n 
-0000762458 00000 n 
-0000765711 00000 n 
-0000765481 00000 n 
-0000762723 00000 n 
-0000765597 00000 n 
-0000765652 00000 n 
-0000768043 00000 n 
-0000767609 00000 n 
-0000765931 00000 n 
-0000767929 00000 n 
-0000767984 00000 n 
-0000767746 00000 n 
-0000771048 00000 n 
-0000770528 00000 n 
-0000768181 00000 n 
-0000770821 00000 n 
-0000770665 00000 n 
-0000770930 00000 n 
-0000770989 00000 n 
-0001315457 00000 n 
-0000773735 00000 n 
-0000773505 00000 n 
-0000771173 00000 n 
-0000773621 00000 n 
-0000773676 00000 n 
-0000775451 00000 n 
-0000775103 00000 n 
-0000773873 00000 n 
-0000775219 00000 n 
-0000775274 00000 n 
-0000775333 00000 n 
-0000775392 00000 n 
-0000778252 00000 n 
-0000777963 00000 n 
-0000775550 00000 n 
-0000778079 00000 n 
-0000778134 00000 n 
-0000778193 00000 n 
-0000781200 00000 n 
-0000780970 00000 n 
-0000778471 00000 n 
-0000781086 00000 n 
-0000781141 00000 n 
-0000783464 00000 n 
-0000783234 00000 n 
-0000781420 00000 n 
-0000783350 00000 n 
-0000783405 00000 n 
-0000787782 00000 n 
-0000785882 00000 n 
-0000783615 00000 n 
-0000787497 00000 n 
-0000787606 00000 n 
-0000787664 00000 n 
-0000786091 00000 n 
-0000786247 00000 n 
-0000786404 00000 n 
-0000786557 00000 n 
-0000786711 00000 n 
-0000786868 00000 n 
-0000787025 00000 n 
-0000787181 00000 n 
-0000787339 00000 n 
-0000787723 00000 n 
-0001315582 00000 n 
-0000790040 00000 n 
-0000789810 00000 n 
-0000787894 00000 n 
-0000789926 00000 n 
-0000789981 00000 n 
-0000793240 00000 n 
-0000792951 00000 n 
-0000790232 00000 n 
-0000793067 00000 n 
-0000793122 00000 n 
-0000793181 00000 n 
-0000795802 00000 n 
-0000795631 00000 n 
-0000793460 00000 n 
-0000795747 00000 n 
-0000797834 00000 n 
-0000797261 00000 n 
-0000795967 00000 n 
-0000797720 00000 n 
-0000797775 00000 n 
-0000797407 00000 n 
-0000797563 00000 n 
-0001121907 00000 n 
-0000799793 00000 n 
-0000799392 00000 n 
-0000797946 00000 n 
-0000799508 00000 n 
-0000799617 00000 n 
-0000799676 00000 n 
-0000799735 00000 n 
-0000803199 00000 n 
-0000802853 00000 n 
-0000799892 00000 n 
-0000802969 00000 n 
-0000803024 00000 n 
-0000803083 00000 n 
-0000803140 00000 n 
-0001315707 00000 n 
-0000806253 00000 n 
-0000806023 00000 n 
-0000803404 00000 n 
-0000806139 00000 n 
-0000806194 00000 n 
-0000808260 00000 n 
-0000807802 00000 n 
-0000806459 00000 n 
-0000807918 00000 n 
-0000808027 00000 n 
-0000808086 00000 n 
-0000808145 00000 n 
-0000808203 00000 n 
-0000811296 00000 n 
-0000811007 00000 n 
-0000808359 00000 n 
-0000811123 00000 n 
-0000811178 00000 n 
-0000811237 00000 n 
-0000814539 00000 n 
-0000814309 00000 n 
-0000811515 00000 n 
-0000814425 00000 n 
-0000814480 00000 n 
-0000815680 00000 n 
-0000815450 00000 n 
-0000814731 00000 n 
-0000815566 00000 n 
-0000815621 00000 n 
-0000820374 00000 n 
-0000818240 00000 n 
-0000815779 00000 n 
-0000820029 00000 n 
-0000818458 00000 n 
-0000820138 00000 n 
-0000820197 00000 n 
-0000818615 00000 n 
-0000818771 00000 n 
-0000818928 00000 n 
-0000819085 00000 n 
-0000819243 00000 n 
-0000819400 00000 n 
-0000819557 00000 n 
-0000819713 00000 n 
-0000819871 00000 n 
-0000820256 00000 n 
-0000820315 00000 n 
-0001315832 00000 n 
-0000822362 00000 n 
-0000821959 00000 n 
-0000820499 00000 n 
-0000822248 00000 n 
-0000822303 00000 n 
-0000822096 00000 n 
-0000825229 00000 n 
-0000824940 00000 n 
-0000822448 00000 n 
-0000825056 00000 n 
-0000825111 00000 n 
-0000825170 00000 n 
-0000828469 00000 n 
-0000828239 00000 n 
-0000825462 00000 n 
-0000828355 00000 n 
-0000828410 00000 n 
-0000831014 00000 n 
-0000830280 00000 n 
-0000828648 00000 n 
-0000830900 00000 n 
-0000830955 00000 n 
-0000830435 00000 n 
-0000830590 00000 n 
-0000830745 00000 n 
-0000834022 00000 n 
-0000833337 00000 n 
-0000831139 00000 n 
-0000833795 00000 n 
-0000833483 00000 n 
-0000833639 00000 n 
-0000833904 00000 n 
-0000833963 00000 n 
-0000836627 00000 n 
-0000836279 00000 n 
-0000834134 00000 n 
-0000836395 00000 n 
-0000836450 00000 n 
-0000836509 00000 n 
-0000836568 00000 n 
-0001315957 00000 n 
-0000838573 00000 n 
-0000838284 00000 n 
-0000836752 00000 n 
-0000838400 00000 n 
-0000838455 00000 n 
-0000838514 00000 n 
-0000841410 00000 n 
-0000841181 00000 n 
-0000838751 00000 n 
-0000841297 00000 n 
-0000841352 00000 n 
-0000844311 00000 n 
-0000844022 00000 n 
-0000841657 00000 n 
-0000844138 00000 n 
-0000844193 00000 n 
-0000844252 00000 n 
-0000846940 00000 n 
-0000846204 00000 n 
-0000844475 00000 n 
-0000846654 00000 n 
-0000846763 00000 n 
-0000846350 00000 n 
-0000846502 00000 n 
-0000846822 00000 n 
-0000846881 00000 n 
-0000849843 00000 n 
-0000849558 00000 n 
-0000847039 00000 n 
-0000849674 00000 n 
-0000849729 00000 n 
-0000849784 00000 n 
-0000853195 00000 n 
-0000852906 00000 n 
-0000850035 00000 n 
-0000853022 00000 n 
-0000853077 00000 n 
-0000853136 00000 n 
-0001316082 00000 n 
-0000856284 00000 n 
-0000855711 00000 n 
-0000853429 00000 n 
-0000856170 00000 n 
-0000856225 00000 n 
-0000855857 00000 n 
-0000856013 00000 n 
-0000857198 00000 n 
-0000857027 00000 n 
-0000856462 00000 n 
-0000857143 00000 n 
-0000859911 00000 n 
-0000859015 00000 n 
-0000857284 00000 n 
-0000859627 00000 n 
-0000859170 00000 n 
-0000859736 00000 n 
-0000859325 00000 n 
-0000859477 00000 n 
-0000859794 00000 n 
-0000859852 00000 n 
-0000862241 00000 n 
-0000861952 00000 n 
-0000860010 00000 n 
-0000862068 00000 n 
-0000862123 00000 n 
-0000862182 00000 n 
-0000865061 00000 n 
-0000864831 00000 n 
-0000862433 00000 n 
-0000864947 00000 n 
-0000865002 00000 n 
-0000868091 00000 n 
-0000867861 00000 n 
-0000865308 00000 n 
-0000867977 00000 n 
-0000868032 00000 n 
-0001316207 00000 n 
-0000869784 00000 n 
-0000869350 00000 n 
-0000868256 00000 n 
-0000869670 00000 n 
-0000869725 00000 n 
-0000869487 00000 n 
-0000872574 00000 n 
-0000872054 00000 n 
-0000869896 00000 n 
-0000872347 00000 n 
-0000872191 00000 n 
-0000872456 00000 n 
-0000872515 00000 n 
-0000875261 00000 n 
-0000874913 00000 n 
-0000872686 00000 n 
-0000875029 00000 n 
-0000875084 00000 n 
-0000875143 00000 n 
-0000875202 00000 n 
-0000877492 00000 n 
-0000877203 00000 n 
-0000875386 00000 n 
-0000877319 00000 n 
-0000877374 00000 n 
-0000877433 00000 n 
-0000880294 00000 n 
-0000880064 00000 n 
-0000877684 00000 n 
-0000880180 00000 n 
-0000880235 00000 n 
-0000883315 00000 n 
-0000883085 00000 n 
-0000880513 00000 n 
-0000883201 00000 n 
-0000883256 00000 n 
-0001316332 00000 n 
-0000885256 00000 n 
-0000885026 00000 n 
-0000883535 00000 n 
-0000885142 00000 n 
-0000885197 00000 n 
-0000889960 00000 n 
-0000887720 00000 n 
-0000885394 00000 n 
-0000889674 00000 n 
-0000887947 00000 n 
-0000888104 00000 n 
-0000889783 00000 n 
-0000889842 00000 n 
-0000888260 00000 n 
-0000888417 00000 n 
-0000888575 00000 n 
-0000888732 00000 n 
-0000888890 00000 n 
-0000889047 00000 n 
-0000889204 00000 n 
-0000889360 00000 n 
-0000889517 00000 n 
-0000889901 00000 n 
-0000892030 00000 n 
-0000891741 00000 n 
-0000890072 00000 n 
-0000891857 00000 n 
-0000891912 00000 n 
-0000891971 00000 n 
-0000895233 00000 n 
-0000895003 00000 n 
-0000892221 00000 n 
-0000895119 00000 n 
-0000895174 00000 n 
-0000898693 00000 n 
-0000897954 00000 n 
-0000895453 00000 n 
-0000898579 00000 n 
-0000898634 00000 n 
-0000898109 00000 n 
-0000898266 00000 n 
-0000898422 00000 n 
-0000901652 00000 n 
-0000901131 00000 n 
-0000898871 00000 n 
-0000901425 00000 n 
-0000901268 00000 n 
-0000901534 00000 n 
-0000901593 00000 n 
-0001316457 00000 n 
-0000904353 00000 n 
-0000904005 00000 n 
-0000901777 00000 n 
-0000904121 00000 n 
-0000904176 00000 n 
-0000904235 00000 n 
-0000904294 00000 n 
-0000906550 00000 n 
-0000906261 00000 n 
-0000904478 00000 n 
-0000906377 00000 n 
-0000906432 00000 n 
-0000906491 00000 n 
-0000909404 00000 n 
-0000909115 00000 n 
-0000906756 00000 n 
-0000909231 00000 n 
-0000909286 00000 n 
-0000909345 00000 n 
-0000911553 00000 n 
-0000911323 00000 n 
-0000909624 00000 n 
-0000911439 00000 n 
-0000911494 00000 n 
-0000916041 00000 n 
-0000913966 00000 n 
-0000911691 00000 n 
-0000915755 00000 n 
-0000914184 00000 n 
-0000915864 00000 n 
-0000915923 00000 n 
-0000914341 00000 n 
-0000914498 00000 n 
-0000914656 00000 n 
-0000914813 00000 n 
-0000914971 00000 n 
-0000915128 00000 n 
-0000915285 00000 n 
-0000915441 00000 n 
-0000915598 00000 n 
-0000915982 00000 n 
-0000918138 00000 n 
-0000917849 00000 n 
-0000916153 00000 n 
-0000917965 00000 n 
-0000918020 00000 n 
-0000918079 00000 n 
-0001316582 00000 n 
-0000921315 00000 n 
-0000921085 00000 n 
-0000918329 00000 n 
-0000921201 00000 n 
-0000921256 00000 n 
-0000924385 00000 n 
-0000923812 00000 n 
-0000921535 00000 n 
-0000924271 00000 n 
-0000924326 00000 n 
-0000923958 00000 n 
-0000924114 00000 n 
-0000925296 00000 n 
-0000925125 00000 n 
-0000924549 00000 n 
-0000925241 00000 n 
-0000928540 00000 n 
-0000927688 00000 n 
-0000925382 00000 n 
-0000928313 00000 n 
-0000927843 00000 n 
-0000928000 00000 n 
-0000928157 00000 n 
-0000928422 00000 n 
-0000928481 00000 n 
-0000931243 00000 n 
-0000930896 00000 n 
-0000928652 00000 n 
-0000931012 00000 n 
-0000931067 00000 n 
-0000931126 00000 n 
-0000931185 00000 n 
-0000933839 00000 n 
-0000933551 00000 n 
-0000931368 00000 n 
-0000933667 00000 n 
-0000933722 00000 n 
-0000933781 00000 n 
-0001316707 00000 n 
-0000936413 00000 n 
-0000936124 00000 n 
-0000934059 00000 n 
-0000936240 00000 n 
-0000936295 00000 n 
-0000936354 00000 n 
-0000939296 00000 n 
-0000939066 00000 n 
-0000936633 00000 n 
-0000939182 00000 n 
-0000939237 00000 n 
-0000942910 00000 n 
-0000942055 00000 n 
-0000939434 00000 n 
-0000942683 00000 n 
-0000942210 00000 n 
-0000942792 00000 n 
-0000942851 00000 n 
-0000942367 00000 n 
-0000942525 00000 n 
-0000946754 00000 n 
-0000945291 00000 n 
-0000943035 00000 n 
-0000946581 00000 n 
-0000945482 00000 n 
-0000945638 00000 n 
-0000945795 00000 n 
-0000945952 00000 n 
-0000946109 00000 n 
-0000946265 00000 n 
-0000946423 00000 n 
-0000946636 00000 n 
-0000946695 00000 n 
-0000948598 00000 n 
-0000948369 00000 n 
-0000946892 00000 n 
-0000948485 00000 n 
-0000948540 00000 n 
-0000951849 00000 n 
-0000951501 00000 n 
-0000948723 00000 n 
-0000951617 00000 n 
-0000951672 00000 n 
-0000951731 00000 n 
-0000951790 00000 n 
-0001316832 00000 n 
-0000955104 00000 n 
-0000954668 00000 n 
-0000952041 00000 n 
-0000954990 00000 n 
-0000955045 00000 n 
-0000954805 00000 n 
-0000958373 00000 n 
-0000958143 00000 n 
-0000955310 00000 n 
-0000958259 00000 n 
-0000958314 00000 n 
-0000961359 00000 n 
-0000961129 00000 n 
-0000958593 00000 n 
-0000961245 00000 n 
-0000961300 00000 n 
-0000962712 00000 n 
-0000962482 00000 n 
-0000961510 00000 n 
-0000962598 00000 n 
-0000962653 00000 n 
-0000966791 00000 n 
-0000965114 00000 n 
-0000962811 00000 n 
-0000966564 00000 n 
-0000965314 00000 n 
-0000965470 00000 n 
-0000965626 00000 n 
-0000966673 00000 n 
-0000966732 00000 n 
-0000965783 00000 n 
-0000965940 00000 n 
-0000966096 00000 n 
-0000966252 00000 n 
-0000966408 00000 n 
-0000969152 00000 n 
-0000968745 00000 n 
-0000966903 00000 n 
-0000968861 00000 n 
-0000968916 00000 n 
-0000968975 00000 n 
-0000969034 00000 n 
-0000969093 00000 n 
-0001316957 00000 n 
-0000972287 00000 n 
-0000971998 00000 n 
-0000969358 00000 n 
-0000972114 00000 n 
-0000972169 00000 n 
-0000972228 00000 n 
-0000974176 00000 n 
-0000973946 00000 n 
-0000972520 00000 n 
-0000974062 00000 n 
-0000974117 00000 n 
-0000977465 00000 n 
-0000976555 00000 n 
-0000974314 00000 n 
-0000977179 00000 n 
-0000976710 00000 n 
-0000976866 00000 n 
-0000977022 00000 n 
-0000977288 00000 n 
-0000977347 00000 n 
-0000977406 00000 n 
-0000980119 00000 n 
-0000979889 00000 n 
-0000977577 00000 n 
-0000980005 00000 n 
-0000980060 00000 n 
-0000981902 00000 n 
-0000981554 00000 n 
-0000980244 00000 n 
-0000981670 00000 n 
-0000981725 00000 n 
-0000981784 00000 n 
-0000981843 00000 n 
-0000984773 00000 n 
-0000984484 00000 n 
-0000982001 00000 n 
-0000984600 00000 n 
-0000984655 00000 n 
-0000984714 00000 n 
-0001317082 00000 n 
-0000988207 00000 n 
-0000987977 00000 n 
-0000984992 00000 n 
-0000988093 00000 n 
-0000988148 00000 n 
-0000989577 00000 n 
-0000989347 00000 n 
-0000988427 00000 n 
-0000989463 00000 n 
-0000989518 00000 n 
-0000993365 00000 n 
-0000992185 00000 n 
-0000989689 00000 n 
-0000993138 00000 n 
-0000992358 00000 n 
-0000993247 00000 n 
-0000993306 00000 n 
-0000992514 00000 n 
-0000992670 00000 n 
-0000992826 00000 n 
-0000992982 00000 n 
-0000996629 00000 n 
-0000996164 00000 n 
-0000993517 00000 n 
-0000996456 00000 n 
-0000996511 00000 n 
-0000996570 00000 n 
-0000996301 00000 n 
-0001000076 00000 n 
-0000999846 00000 n 
-0000996848 00000 n 
-0000999962 00000 n 
-0001000017 00000 n 
-0001003637 00000 n 
-0001003407 00000 n 
-0001000309 00000 n 
-0001003523 00000 n 
-0001003578 00000 n 
-0001317207 00000 n 
-0001005601 00000 n 
-0001005371 00000 n 
-0001003857 00000 n 
-0001005487 00000 n 
-0001005542 00000 n 
-0001007722 00000 n 
-0001007204 00000 n 
-0001005753 00000 n 
-0001007320 00000 n 
-0001007487 00000 n 
-0001007546 00000 n 
-0001007664 00000 n 
-0001010447 00000 n 
-0001010276 00000 n 
-0001007847 00000 n 
-0001010392 00000 n 
-0001013612 00000 n 
-0001013382 00000 n 
-0001010585 00000 n 
-0001013498 00000 n 
-0001013553 00000 n 
-0001015829 00000 n 
-0001015312 00000 n 
-0001013711 00000 n 
-0001015774 00000 n 
-0001015458 00000 n 
-0001015617 00000 n 
-0001017051 00000 n 
-0001016424 00000 n 
-0001015915 00000 n 
-0001016878 00000 n 
-0001016933 00000 n 
-0001016570 00000 n 
-0001016723 00000 n 
-0001016992 00000 n 
-0001317332 00000 n 
-0001019384 00000 n 
-0001018632 00000 n 
-0001017163 00000 n 
-0001018921 00000 n 
-0001019030 00000 n 
-0001019089 00000 n 
-0001019148 00000 n 
-0001019207 00000 n 
-0001019266 00000 n 
-0001018769 00000 n 
-0001019325 00000 n 
-0001022073 00000 n 
-0001021553 00000 n 
-0001019496 00000 n 
-0001021669 00000 n 
-0001021778 00000 n 
-0001021837 00000 n 
-0001021896 00000 n 
-0001021955 00000 n 
-0001022014 00000 n 
-0001023243 00000 n 
-0001022616 00000 n 
-0001022185 00000 n 
-0001023070 00000 n 
-0001023125 00000 n 
-0001022762 00000 n 
-0001022917 00000 n 
-0001023184 00000 n 
-0001025842 00000 n 
-0001025381 00000 n 
-0001023355 00000 n 
-0001025497 00000 n 
-0001025606 00000 n 
-0001025665 00000 n 
-0001025724 00000 n 
-0001025783 00000 n 
-0001028639 00000 n 
-0001027792 00000 n 
-0001025980 00000 n 
-0001028408 00000 n 
-0001028463 00000 n 
-0001027947 00000 n 
-0001028522 00000 n 
-0001028101 00000 n 
-0001028256 00000 n 
-0001028580 00000 n 
-0001033826 00000 n 
-0001032007 00000 n 
-0001030926 00000 n 
-0001028777 00000 n 
-0001031544 00000 n 
-0001031653 00000 n 
-0001031712 00000 n 
-0001031771 00000 n 
-0001031830 00000 n 
-0001031081 00000 n 
-0001031889 00000 n 
-0001031948 00000 n 
-0001031234 00000 n 
-0001031389 00000 n 
-0001317457 00000 n 
-0001032620 00000 n 
-0001032390 00000 n 
-0001032119 00000 n 
-0001032506 00000 n 
-0001032561 00000 n 
-0001033890 00000 n 
-0001033655 00000 n 
-0001032706 00000 n 
-0001033771 00000 n 
-0001037255 00000 n 
-0001036396 00000 n 
-0001033989 00000 n 
-0001036851 00000 n 
-0001036960 00000 n 
-0001036542 00000 n 
-0001037019 00000 n 
-0001037078 00000 n 
-0001037137 00000 n 
-0001037196 00000 n 
-0001036697 00000 n 
-0001039278 00000 n 
-0001038650 00000 n 
-0001037367 00000 n 
-0001039106 00000 n 
-0001039161 00000 n 
-0001038796 00000 n 
-0001038952 00000 n 
-0001039219 00000 n 
-0001041524 00000 n 
-0001040610 00000 n 
-0001039416 00000 n 
-0001041063 00000 n 
-0001041172 00000 n 
-0001041231 00000 n 
-0001041290 00000 n 
-0001041349 00000 n 
-0001041406 00000 n 
-0001040756 00000 n 
-0001040911 00000 n 
-0001041465 00000 n 
-0001043987 00000 n 
-0001043014 00000 n 
-0001041636 00000 n 
-0001043465 00000 n 
-0001043574 00000 n 
-0001043633 00000 n 
-0001043692 00000 n 
-0001043751 00000 n 
-0001043810 00000 n 
-0001043869 00000 n 
-0001043160 00000 n 
-0001043313 00000 n 
-0001043928 00000 n 
-0001317582 00000 n 
-0001046165 00000 n 
-0001045191 00000 n 
-0001044099 00000 n 
-0001045645 00000 n 
-0001045754 00000 n 
-0001045813 00000 n 
-0001045872 00000 n 
-0001045931 00000 n 
-0001045990 00000 n 
-0001046049 00000 n 
-0001045337 00000 n 
-0001045490 00000 n 
-0001046107 00000 n 
-0001046720 00000 n 
-0001046491 00000 n 
-0001046277 00000 n 
-0001046607 00000 n 
-0001049788 00000 n 
-0001048644 00000 n 
-0001046806 00000 n 
-0001049505 00000 n 
-0001049671 00000 n 
-0001048808 00000 n 
-0001049729 00000 n 
-0001048987 00000 n 
-0001049142 00000 n 
-0001049317 00000 n 
-0001053989 00000 n 
+0000464568 00000 n 
+0000465690 00000 n 
+0000465519 00000 n 
+0000464757 00000 n 
+0000465635 00000 n 
+0000467930 00000 n 
+0000467093 00000 n 
+0000465791 00000 n 
+0000467408 00000 n 
+0000467517 00000 n 
+0000467576 00000 n 
+0000467635 00000 n 
+0000467694 00000 n 
+0000467753 00000 n 
+0000467812 00000 n 
+0000467230 00000 n 
+0000467871 00000 n 
+0001914271 00000 n 
+0000470309 00000 n 
+0000469472 00000 n 
+0000468071 00000 n 
+0000469787 00000 n 
+0000469896 00000 n 
+0000469955 00000 n 
+0000470014 00000 n 
+0000470073 00000 n 
+0000470132 00000 n 
+0000470191 00000 n 
+0000469609 00000 n 
+0000470250 00000 n 
+0000472992 00000 n 
+0000472273 00000 n 
+0000470424 00000 n 
+0000472589 00000 n 
+0000472698 00000 n 
+0000472757 00000 n 
+0000472815 00000 n 
+0000472874 00000 n 
+0000472410 00000 n 
+0000472933 00000 n 
+0000474566 00000 n 
+0000474077 00000 n 
+0000473119 00000 n 
+0000474393 00000 n 
+0000474448 00000 n 
+0000474214 00000 n 
+0000474507 00000 n 
+0000476933 00000 n 
+0000476532 00000 n 
+0000474681 00000 n 
+0000476648 00000 n 
+0000476757 00000 n 
+0000476816 00000 n 
+0000476874 00000 n 
+0000479051 00000 n 
+0000478445 00000 n 
+0000477034 00000 n 
+0000478760 00000 n 
+0000478815 00000 n 
+0000478874 00000 n 
+0000478933 00000 n 
+0000478582 00000 n 
+0000478992 00000 n 
+0000481399 00000 n 
+0000480997 00000 n 
+0000479192 00000 n 
+0000481113 00000 n 
+0000481222 00000 n 
+0000481281 00000 n 
+0000481340 00000 n 
+0001914396 00000 n 
+0000483369 00000 n 
+0000482903 00000 n 
+0000481500 00000 n 
+0000483019 00000 n 
+0000483074 00000 n 
+0000483133 00000 n 
+0000483192 00000 n 
+0000483251 00000 n 
+0000483310 00000 n 
+0000485747 00000 n 
+0000484970 00000 n 
+0000483524 00000 n 
+0000485286 00000 n 
+0000485395 00000 n 
+0000485454 00000 n 
+0000485513 00000 n 
+0000485572 00000 n 
+0000485631 00000 n 
+0000485688 00000 n 
+0000485107 00000 n 
+0000489099 00000 n 
+0000488325 00000 n 
+0000485874 00000 n 
+0000488990 00000 n 
+0000488480 00000 n 
+0000488635 00000 n 
+0000488790 00000 n 
+0000769954 00000 n 
+0000489889 00000 n 
+0000489718 00000 n 
+0000489254 00000 n 
+0000489834 00000 n 
+0000493301 00000 n 
+0000492452 00000 n 
+0000489962 00000 n 
+0000493075 00000 n 
+0000492607 00000 n 
+0000492763 00000 n 
+0000492919 00000 n 
+0000493184 00000 n 
+0000493243 00000 n 
+0000766569 00000 n 
+0000496456 00000 n 
+0000495267 00000 n 
+0000493429 00000 n 
+0000496224 00000 n 
+0000496279 00000 n 
+0000495440 00000 n 
+0000495597 00000 n 
+0000495753 00000 n 
+0000495910 00000 n 
+0000496067 00000 n 
+0000496338 00000 n 
+0000496397 00000 n 
+0001724109 00000 n 
+0001711153 00000 n 
+0001723941 00000 n 
+0001914521 00000 n 
+0000766381 00000 n 
+0000497560 00000 n 
+0000501882 00000 n 
+0000497444 00000 n 
+0000496599 00000 n 
+0000501768 00000 n 
+0000501823 00000 n 
+0000501168 00000 n 
+0000501313 00000 n 
+0000501399 00000 n 
+0000501501 00000 n 
+0000501524 00000 n 
+0000502815 00000 n 
+0000515731 00000 n 
+0000502699 00000 n 
+0000501999 00000 n 
+0000515617 00000 n 
+0000515672 00000 n 
+0000514909 00000 n 
+0000515054 00000 n 
+0000515140 00000 n 
+0000515242 00000 n 
+0000515349 00000 n 
+0000515373 00000 n 
+0000516894 00000 n 
+0000522880 00000 n 
+0000516778 00000 n 
+0000515848 00000 n 
+0000522767 00000 n 
+0000522822 00000 n 
+0000522060 00000 n 
+0000522205 00000 n 
+0000522291 00000 n 
+0000522393 00000 n 
+0000522500 00000 n 
+0000522523 00000 n 
+0000526796 00000 n 
+0000526224 00000 n 
+0000523052 00000 n 
+0000526682 00000 n 
+0000526370 00000 n 
+0000526525 00000 n 
+0000526737 00000 n 
+0000529973 00000 n 
+0000529684 00000 n 
+0000526992 00000 n 
+0000529800 00000 n 
+0000529855 00000 n 
+0000529914 00000 n 
+0000531169 00000 n 
+0000530939 00000 n 
+0000530115 00000 n 
+0000531055 00000 n 
+0000531110 00000 n 
+0001914646 00000 n 
+0000534226 00000 n 
+0000533765 00000 n 
+0000531270 00000 n 
+0000533881 00000 n 
+0000533990 00000 n 
+0000534049 00000 n 
+0000534108 00000 n 
+0000534167 00000 n 
+0000536644 00000 n 
+0000535546 00000 n 
+0000535375 00000 n 
+0000534382 00000 n 
+0000535491 00000 n 
+0000558210 00000 n 
+0000536528 00000 n 
+0000535648 00000 n 
+0000558096 00000 n 
+0000558151 00000 n 
+0000557388 00000 n 
+0000557533 00000 n 
+0000557619 00000 n 
+0000557721 00000 n 
+0000557828 00000 n 
+0000557852 00000 n 
+0000559574 00000 n 
+0000578526 00000 n 
+0000559437 00000 n 
+0000558341 00000 n 
+0000578412 00000 n 
+0000578467 00000 n 
+0000578260 00000 n 
+0000577552 00000 n 
+0000577697 00000 n 
+0000577783 00000 n 
+0000577885 00000 n 
+0000577992 00000 n 
+0000578016 00000 n 
+0000581813 00000 n 
+0000581524 00000 n 
+0000578698 00000 n 
+0000581640 00000 n 
+0000581695 00000 n 
+0000581754 00000 n 
+0000585311 00000 n 
+0000585081 00000 n 
+0000582038 00000 n 
+0000585197 00000 n 
+0000585252 00000 n 
+0001914771 00000 n 
+0000587620 00000 n 
+0000587449 00000 n 
+0000585521 00000 n 
+0000587565 00000 n 
+0000589374 00000 n 
+0000588939 00000 n 
+0000587775 00000 n 
+0000589260 00000 n 
+0000589315 00000 n 
+0000589076 00000 n 
+0000592296 00000 n 
+0000591953 00000 n 
+0000589489 00000 n 
+0000592069 00000 n 
+0000592178 00000 n 
+0000592237 00000 n 
+0000594933 00000 n 
+0000593817 00000 n 
+0000593528 00000 n 
+0000592452 00000 n 
+0000593644 00000 n 
+0000593699 00000 n 
+0000593758 00000 n 
+0000627161 00000 n 
+0000594817 00000 n 
+0000593933 00000 n 
+0000627047 00000 n 
+0000627102 00000 n 
+0000626339 00000 n 
+0000626484 00000 n 
+0000626570 00000 n 
+0000626672 00000 n 
+0000626779 00000 n 
+0000626803 00000 n 
+0000628357 00000 n 
+0000648806 00000 n 
+0000628241 00000 n 
+0000627293 00000 n 
+0000648694 00000 n 
+0000648749 00000 n 
+0001914896 00000 n 
+0000647986 00000 n 
+0000648131 00000 n 
+0000648217 00000 n 
+0000648319 00000 n 
+0000648426 00000 n 
+0000648450 00000 n 
+0000651948 00000 n 
+0000651487 00000 n 
+0000648978 00000 n 
+0000651776 00000 n 
+0000651624 00000 n 
+0000651831 00000 n 
+0000651890 00000 n 
+0000655038 00000 n 
+0000654867 00000 n 
+0000652173 00000 n 
+0000654983 00000 n 
+0000658081 00000 n 
+0000657851 00000 n 
+0000655248 00000 n 
+0000657967 00000 n 
+0000658022 00000 n 
+0000660246 00000 n 
+0000659811 00000 n 
+0000658250 00000 n 
+0000660132 00000 n 
+0000660187 00000 n 
+0000659948 00000 n 
+0000663323 00000 n 
+0000662583 00000 n 
+0000660361 00000 n 
+0000663041 00000 n 
+0000662729 00000 n 
+0000662885 00000 n 
+0000663150 00000 n 
+0000663205 00000 n 
+0000663264 00000 n 
+0000666107 00000 n 
+0000665877 00000 n 
+0000663466 00000 n 
+0000665993 00000 n 
+0000666048 00000 n 
+0001915021 00000 n 
+0000667806 00000 n 
+0000667517 00000 n 
+0000666261 00000 n 
+0000667633 00000 n 
+0000667688 00000 n 
+0000667747 00000 n 
+0000671186 00000 n 
+0000670956 00000 n 
+0000667922 00000 n 
+0000671072 00000 n 
+0000671127 00000 n 
+0000674452 00000 n 
+0000674222 00000 n 
+0000671382 00000 n 
+0000674338 00000 n 
+0000674393 00000 n 
+0000677264 00000 n 
+0000677034 00000 n 
+0000674662 00000 n 
+0000677150 00000 n 
+0000677205 00000 n 
+0000680584 00000 n 
+0000679840 00000 n 
+0000677461 00000 n 
+0000680298 00000 n 
+0000679986 00000 n 
+0000680142 00000 n 
+0000680407 00000 n 
+0000680466 00000 n 
+0000680525 00000 n 
+0000683100 00000 n 
+0000682870 00000 n 
+0000680740 00000 n 
+0000682986 00000 n 
+0000683041 00000 n 
+0001915146 00000 n 
+0000684437 00000 n 
+0000684148 00000 n 
+0000683241 00000 n 
+0000684264 00000 n 
+0000684319 00000 n 
+0000684378 00000 n 
+0000687802 00000 n 
+0000687572 00000 n 
+0000684553 00000 n 
+0000687688 00000 n 
+0000687743 00000 n 
+0000690556 00000 n 
+0000690326 00000 n 
+0000687984 00000 n 
+0000690442 00000 n 
+0000690497 00000 n 
+0000693409 00000 n 
+0000693179 00000 n 
+0000690752 00000 n 
+0000693295 00000 n 
+0000693350 00000 n 
+0000695994 00000 n 
+0000695533 00000 n 
+0000693606 00000 n 
+0000695649 00000 n 
+0000695758 00000 n 
+0000695817 00000 n 
+0000695876 00000 n 
+0000695935 00000 n 
+0000697187 00000 n 
+0000696957 00000 n 
+0000696165 00000 n 
+0000697073 00000 n 
+0000697128 00000 n 
+0001915271 00000 n 
+0000701311 00000 n 
+0000701081 00000 n 
+0000697275 00000 n 
+0000701197 00000 n 
+0000701252 00000 n 
+0001709905 00000 n 
+0001708466 00000 n 
+0001709741 00000 n 
+0000703702 00000 n 
+0000703413 00000 n 
+0000701536 00000 n 
+0000703529 00000 n 
+0000703584 00000 n 
+0000703643 00000 n 
+0000707442 00000 n 
+0000706428 00000 n 
+0000703886 00000 n 
+0000707215 00000 n 
+0000707324 00000 n 
+0000707383 00000 n 
+0000706592 00000 n 
+0000706748 00000 n 
+0000706903 00000 n 
+0000707059 00000 n 
+0000769765 00000 n 
+0000774582 00000 n 
+0000710495 00000 n 
+0000708673 00000 n 
+0000708443 00000 n 
+0000707598 00000 n 
+0000708559 00000 n 
+0000708614 00000 n 
+0000740313 00000 n 
+0000710379 00000 n 
+0000708789 00000 n 
+0000740199 00000 n 
+0000740254 00000 n 
+0000739491 00000 n 
+0000739636 00000 n 
+0000739722 00000 n 
+0000739824 00000 n 
+0000739931 00000 n 
+0000739955 00000 n 
+0000743914 00000 n 
+0000743278 00000 n 
+0000740526 00000 n 
+0000743737 00000 n 
+0000743424 00000 n 
+0000743581 00000 n 
+0000743792 00000 n 
+0000743851 00000 n 
+0001915396 00000 n 
+0000747421 00000 n 
+0000747191 00000 n 
+0000744124 00000 n 
+0000747307 00000 n 
+0000747362 00000 n 
+0000749983 00000 n 
+0000749753 00000 n 
+0000747645 00000 n 
+0000749869 00000 n 
+0000749924 00000 n 
+0000752987 00000 n 
+0000752245 00000 n 
+0000750138 00000 n 
+0000752701 00000 n 
+0000752391 00000 n 
+0000752547 00000 n 
+0000752810 00000 n 
+0000752869 00000 n 
+0000752928 00000 n 
+0000755819 00000 n 
+0000755648 00000 n 
+0000753115 00000 n 
+0000755764 00000 n 
+0000758365 00000 n 
+0000758017 00000 n 
+0000755933 00000 n 
+0000758133 00000 n 
+0000758188 00000 n 
+0000758247 00000 n 
+0000758306 00000 n 
+0000761078 00000 n 
+0000760793 00000 n 
+0000758495 00000 n 
+0000760909 00000 n 
+0000760964 00000 n 
+0000761019 00000 n 
+0001915521 00000 n 
+0000763664 00000 n 
+0000763376 00000 n 
+0000761289 00000 n 
+0000763492 00000 n 
+0000763547 00000 n 
+0000763606 00000 n 
+0000766946 00000 n 
+0000765962 00000 n 
+0000763793 00000 n 
+0000766078 00000 n 
+0000766133 00000 n 
+0000766255 00000 n 
+0000766318 00000 n 
+0000766444 00000 n 
+0000766506 00000 n 
+0000766695 00000 n 
+0000766758 00000 n 
+0000770646 00000 n 
+0000769594 00000 n 
+0000767047 00000 n 
+0000769710 00000 n 
+0000769891 00000 n 
+0000770017 00000 n 
+0000770206 00000 n 
+0000770332 00000 n 
+0000770395 00000 n 
+0000770458 00000 n 
+0000770521 00000 n 
+0000770584 00000 n 
+0000774645 00000 n 
+0000773594 00000 n 
+0000770733 00000 n 
+0000773710 00000 n 
+0000773891 00000 n 
+0000773953 00000 n 
+0000774016 00000 n 
+0000774079 00000 n 
+0000774142 00000 n 
+0000774205 00000 n 
+0000774268 00000 n 
+0000774331 00000 n 
+0000774520 00000 n 
+0000775608 00000 n 
+0000775311 00000 n 
+0000774758 00000 n 
+0000775427 00000 n 
+0000775482 00000 n 
+0000775545 00000 n 
+0000778383 00000 n 
+0000777528 00000 n 
+0000775695 00000 n 
+0000778151 00000 n 
+0000777683 00000 n 
+0000777839 00000 n 
+0000778206 00000 n 
+0000778265 00000 n 
+0000778324 00000 n 
+0000777995 00000 n 
+0001915646 00000 n 
+0000781188 00000 n 
+0000781017 00000 n 
+0000778511 00000 n 
+0000781133 00000 n 
+0000784061 00000 n 
+0000783831 00000 n 
+0000781315 00000 n 
+0000783947 00000 n 
+0000784002 00000 n 
+0000787246 00000 n 
+0000786899 00000 n 
+0000784176 00000 n 
+0000787015 00000 n 
+0000787070 00000 n 
+0000787129 00000 n 
+0000787188 00000 n 
+0000790127 00000 n 
+0000789898 00000 n 
+0000787471 00000 n 
+0000790014 00000 n 
+0000790069 00000 n 
+0000791557 00000 n 
+0000791327 00000 n 
+0000790337 00000 n 
+0000791443 00000 n 
+0000791498 00000 n 
+0000794367 00000 n 
+0000793677 00000 n 
+0000791672 00000 n 
+0000794135 00000 n 
+0000793823 00000 n 
+0000793979 00000 n 
+0000794190 00000 n 
+0000794249 00000 n 
+0000794308 00000 n 
+0001915771 00000 n 
+0000797288 00000 n 
+0000797058 00000 n 
+0000794495 00000 n 
+0000797174 00000 n 
+0000797229 00000 n 
+0000799473 00000 n 
+0000799184 00000 n 
+0000797416 00000 n 
+0000799300 00000 n 
+0000799355 00000 n 
+0000799414 00000 n 
+0000802653 00000 n 
+0000802423 00000 n 
+0000799603 00000 n 
+0000802539 00000 n 
+0000802594 00000 n 
+0000805353 00000 n 
+0000805064 00000 n 
+0000802849 00000 n 
+0000805180 00000 n 
+0000805235 00000 n 
+0000805294 00000 n 
+0000809728 00000 n 
+0000807874 00000 n 
+0000805495 00000 n 
+0000809496 00000 n 
+0000809551 00000 n 
+0000809610 00000 n 
+0000808083 00000 n 
+0000808241 00000 n 
+0000808399 00000 n 
+0000808555 00000 n 
+0000808713 00000 n 
+0000808869 00000 n 
+0000809026 00000 n 
+0000809182 00000 n 
+0000809339 00000 n 
+0000809669 00000 n 
+0000810745 00000 n 
+0000840618 00000 n 
+0000810629 00000 n 
+0000809858 00000 n 
+0000840563 00000 n 
+0001915896 00000 n 
+0000839855 00000 n 
+0000840000 00000 n 
+0000840086 00000 n 
+0000840188 00000 n 
+0000840295 00000 n 
+0000840319 00000 n 
+0000843466 00000 n 
+0000843177 00000 n 
+0000840750 00000 n 
+0000843293 00000 n 
+0000843348 00000 n 
+0000843407 00000 n 
+0000846793 00000 n 
+0000846564 00000 n 
+0000843690 00000 n 
+0000846680 00000 n 
+0000846735 00000 n 
+0000849250 00000 n 
+0000849020 00000 n 
+0000847003 00000 n 
+0000849136 00000 n 
+0000849191 00000 n 
+0000852022 00000 n 
+0000851499 00000 n 
+0000849392 00000 n 
+0000851792 00000 n 
+0000851636 00000 n 
+0000851847 00000 n 
+0000851906 00000 n 
+0000851963 00000 n 
+0000854872 00000 n 
+0000854701 00000 n 
+0000852150 00000 n 
+0000854817 00000 n 
+0000857427 00000 n 
+0000857079 00000 n 
+0000854999 00000 n 
+0000857195 00000 n 
+0000857250 00000 n 
+0000857309 00000 n 
+0000857368 00000 n 
+0001916021 00000 n 
+0000860048 00000 n 
+0000859818 00000 n 
+0000857557 00000 n 
+0000859934 00000 n 
+0000859989 00000 n 
+0000862673 00000 n 
+0000862385 00000 n 
+0000860273 00000 n 
+0000862501 00000 n 
+0000862556 00000 n 
+0000862615 00000 n 
+0000865722 00000 n 
+0000865198 00000 n 
+0000862815 00000 n 
+0000865490 00000 n 
+0000865335 00000 n 
+0000865545 00000 n 
+0000865604 00000 n 
+0000865663 00000 n 
+0000868689 00000 n 
+0000868518 00000 n 
+0000865877 00000 n 
+0000868634 00000 n 
+0000871246 00000 n 
+0000870898 00000 n 
+0000868816 00000 n 
+0000871014 00000 n 
+0000871069 00000 n 
+0000871128 00000 n 
+0000871187 00000 n 
+0000874223 00000 n 
+0000873993 00000 n 
+0000871376 00000 n 
+0000874109 00000 n 
+0000874164 00000 n 
+0001916146 00000 n 
+0000876864 00000 n 
+0000876576 00000 n 
+0000874448 00000 n 
+0000876692 00000 n 
+0000876747 00000 n 
+0000876806 00000 n 
+0000881308 00000 n 
+0000879231 00000 n 
+0000877006 00000 n 
+0000881017 00000 n 
+0000879449 00000 n 
+0000881072 00000 n 
+0000881131 00000 n 
+0000879603 00000 n 
+0000879760 00000 n 
+0000879917 00000 n 
+0000880073 00000 n 
+0000880231 00000 n 
+0000880388 00000 n 
+0000880545 00000 n 
+0000880701 00000 n 
+0000880859 00000 n 
+0000881190 00000 n 
+0000881249 00000 n 
+0000882167 00000 n 
+0000893818 00000 n 
+0000882051 00000 n 
+0000881438 00000 n 
+0000893763 00000 n 
+0000893055 00000 n 
+0000893200 00000 n 
+0000893286 00000 n 
+0000893388 00000 n 
+0000893495 00000 n 
+0000893519 00000 n 
+0000894963 00000 n 
+0000925847 00000 n 
+0000894847 00000 n 
+0000893936 00000 n 
+0000925679 00000 n 
+0000925734 00000 n 
+0000924971 00000 n 
+0000925116 00000 n 
+0000925202 00000 n 
+0000925304 00000 n 
+0000925411 00000 n 
+0000925435 00000 n 
+0000927083 00000 n 
+0000933060 00000 n 
+0000926967 00000 n 
+0000925979 00000 n 
+0000932946 00000 n 
+0000933001 00000 n 
+0000932239 00000 n 
+0000932384 00000 n 
+0000932470 00000 n 
+0000932572 00000 n 
+0000932679 00000 n 
+0000932702 00000 n 
+0000935988 00000 n 
+0000935759 00000 n 
+0000933301 00000 n 
+0000935875 00000 n 
+0000935930 00000 n 
+0001916271 00000 n 
+0000939101 00000 n 
+0000938871 00000 n 
+0000936212 00000 n 
+0000938987 00000 n 
+0000939042 00000 n 
+0000941338 00000 n 
+0000941108 00000 n 
+0000939270 00000 n 
+0000941224 00000 n 
+0000941279 00000 n 
+0000944328 00000 n 
+0000943862 00000 n 
+0000941466 00000 n 
+0000944155 00000 n 
+0000943999 00000 n 
+0000944210 00000 n 
+0000944269 00000 n 
+0000946712 00000 n 
+0000946365 00000 n 
+0000944456 00000 n 
+0000946481 00000 n 
+0000946536 00000 n 
+0000946595 00000 n 
+0000946654 00000 n 
+0000949180 00000 n 
+0000948892 00000 n 
+0000946842 00000 n 
+0000949008 00000 n 
+0000949063 00000 n 
+0000949122 00000 n 
+0000951816 00000 n 
+0000951527 00000 n 
+0000949419 00000 n 
+0000951643 00000 n 
+0000951698 00000 n 
+0000951757 00000 n 
+0001916396 00000 n 
+0000954360 00000 n 
+0000954130 00000 n 
+0000952026 00000 n 
+0000954246 00000 n 
+0000954301 00000 n 
+0000957862 00000 n 
+0000956902 00000 n 
+0000954489 00000 n 
+0000957689 00000 n 
+0000957744 00000 n 
+0000957803 00000 n 
+0000957066 00000 n 
+0000957222 00000 n 
+0000957378 00000 n 
+0000957533 00000 n 
+0000960787 00000 n 
+0000959032 00000 n 
+0000958802 00000 n 
+0000958018 00000 n 
+0000958918 00000 n 
+0000958973 00000 n 
+0000990583 00000 n 
+0000960671 00000 n 
+0000959148 00000 n 
+0000990469 00000 n 
+0000990524 00000 n 
+0000989761 00000 n 
+0000989906 00000 n 
+0000989992 00000 n 
+0000990094 00000 n 
+0000990201 00000 n 
+0000990225 00000 n 
+0000994088 00000 n 
+0000993858 00000 n 
+0000990823 00000 n 
+0000993974 00000 n 
+0000994029 00000 n 
+0000997533 00000 n 
+0000997303 00000 n 
+0000994298 00000 n 
+0000997419 00000 n 
+0000997474 00000 n 
+0001916521 00000 n 
+0000999799 00000 n 
+0000999571 00000 n 
+0000997757 00000 n 
+0000999687 00000 n 
+0000999742 00000 n 
+0001004832 00000 n 
+0001002211 00000 n 
+0000999968 00000 n 
+0001004487 00000 n 
+0001004596 00000 n 
+0001004655 00000 n 
+0001002456 00000 n 
+0001002613 00000 n 
+0001002769 00000 n 
+0001002924 00000 n 
+0001003079 00000 n 
+0001003234 00000 n 
+0001003389 00000 n 
+0001003545 00000 n 
+0001003703 00000 n 
+0001003860 00000 n 
+0001004016 00000 n 
+0001004171 00000 n 
+0001004329 00000 n 
+0001004714 00000 n 
+0001004773 00000 n 
+0001007080 00000 n 
+0001005881 00000 n 
+0001005710 00000 n 
+0001004961 00000 n 
+0001005826 00000 n 
+0001027220 00000 n 
+0001006943 00000 n 
+0001005969 00000 n 
+0001027106 00000 n 
+0001027161 00000 n 
+0001026954 00000 n 
+0001026246 00000 n 
+0001026391 00000 n 
+0001026477 00000 n 
+0001026579 00000 n 
+0001026686 00000 n 
+0001026710 00000 n 
+0001028549 00000 n 
+0001049005 00000 n 
+0001028433 00000 n 
+0001027338 00000 n 
+0001048891 00000 n 
+0001048946 00000 n 
+0001048183 00000 n 
+0001048328 00000 n 
+0001048414 00000 n 
+0001048516 00000 n 
+0001048623 00000 n 
+0001048647 00000 n 
 0001052241 00000 n 
-0001049900 00000 n 
-0001053757 00000 n 
-0001053812 00000 n 
-0001052432 00000 n 
-0001052615 00000 n 
-0001052817 00000 n 
-0001053871 00000 n 
-0001053930 00000 n 
-0001052997 00000 n 
-0001053191 00000 n 
-0001053385 00000 n 
-0001053571 00000 n 
-0001059258 00000 n 
-0001058114 00000 n 
-0001056725 00000 n 
-0001054127 00000 n 
-0001057882 00000 n 
-0001057937 00000 n 
-0001057996 00000 n 
-0001056898 00000 n 
-0001057081 00000 n 
-0001057282 00000 n 
-0001057492 00000 n 
-0001057683 00000 n 
-0001058055 00000 n 
-0001089701 00000 n 
-0001059142 00000 n 
-0001058213 00000 n 
-0001089587 00000 n 
-0001089642 00000 n 
-0001317707 00000 n 
-0001059712 00000 n 
-0001059769 00000 n 
-0001059834 00000 n 
-0001089565 00000 n 
-0001093687 00000 n 
-0001092701 00000 n 
-0001089855 00000 n 
-0001093397 00000 n 
-0001093452 00000 n 
-0001092856 00000 n 
-0001093569 00000 n 
-0001093028 00000 n 
-0001093212 00000 n 
-0001093628 00000 n 
-0001095274 00000 n 
-0001095044 00000 n 
-0001093825 00000 n 
-0001095160 00000 n 
-0001095215 00000 n 
-0001097208 00000 n 
-0001096926 00000 n 
-0001095373 00000 n 
-0001097042 00000 n 
-0001099002 00000 n 
-0001098831 00000 n 
-0001097320 00000 n 
-0001098947 00000 n 
-0001101447 00000 n 
-0001101276 00000 n 
-0001099128 00000 n 
-0001101392 00000 n 
-0001104072 00000 n 
-0001103901 00000 n 
-0001101586 00000 n 
-0001104017 00000 n 
-0001317832 00000 n 
-0001106837 00000 n 
-0001106666 00000 n 
-0001104184 00000 n 
-0001106782 00000 n 
-0001109760 00000 n 
-0001109589 00000 n 
-0001106962 00000 n 
-0001109705 00000 n 
-0001111509 00000 n 
-0001111074 00000 n 
-0001109885 00000 n 
-0001111396 00000 n 
-0001111211 00000 n 
-0001114718 00000 n 
-0001113734 00000 n 
-0001111621 00000 n 
-0001113850 00000 n 
-0001113905 00000 n 
-0001114090 00000 n 
-0001114216 00000 n 
-0001114278 00000 n 
-0001114404 00000 n 
-0001114530 00000 n 
-0001114593 00000 n 
-0001118476 00000 n 
-0001117423 00000 n 
-0001114817 00000 n 
-0001117539 00000 n 
-0001117783 00000 n 
-0001117909 00000 n 
-0001118098 00000 n 
-0001118224 00000 n 
-0001118287 00000 n 
-0001118350 00000 n 
-0001118413 00000 n 
-0001122408 00000 n 
-0001121358 00000 n 
-0001118562 00000 n 
-0001121474 00000 n 
-0001121529 00000 n 
-0001121781 00000 n 
-0001121844 00000 n 
-0001121970 00000 n 
-0001122033 00000 n 
-0001122096 00000 n 
-0001122159 00000 n 
-0001122345 00000 n 
-0001317957 00000 n 
-0001123552 00000 n 
-0001123192 00000 n 
-0001122520 00000 n 
-0001123308 00000 n 
-0001123426 00000 n 
-0001123638 00000 n 
-0001126939 00000 n 
-0001129114 00000 n 
-0001129088 00000 n 
-0001129204 00000 n 
-0001132407 00000 n 
-0001132432 00000 n 
-0001136680 00000 n 
-0001136745 00000 n 
-0001140174 00000 n 
-0001142854 00000 n 
-0001145798 00000 n 
-0001153416 00000 n 
-0001153110 00000 n 
-0001154065 00000 n 
-0001159293 00000 n 
-0001167543 00000 n 
-0001171279 00000 n 
-0001171226 00000 n 
-0001174395 00000 n 
-0001174310 00000 n 
-0001177780 00000 n 
-0001177551 00000 n 
-0001181154 00000 n 
-0001180925 00000 n 
-0001181296 00000 n 
-0001181907 00000 n 
-0001181934 00000 n 
-0001181996 00000 n 
-0001182034 00000 n 
-0001182407 00000 n 
-0001182670 00000 n 
-0001183164 00000 n 
-0001183399 00000 n 
-0001183499 00000 n 
-0001186185 00000 n 
-0001198767 00000 n 
-0001216984 00000 n 
-0001221991 00000 n 
-0001222279 00000 n 
-0001240231 00000 n 
-0001254888 00000 n 
-0001265539 00000 n 
-0001270555 00000 n 
-0001285601 00000 n 
-0001304778 00000 n 
-0001310638 00000 n 
-0001318046 00000 n 
-0001318167 00000 n 
-0001318293 00000 n 
-0001318419 00000 n 
-0001318545 00000 n 
-0001318671 00000 n 
-0001318797 00000 n 
-0001318923 00000 n 
-0001319049 00000 n 
-0001319175 00000 n 
-0001319283 00000 n 
-0001319410 00000 n 
-0001319519 00000 n 
-0001319593 00000 n 
-0001332184 00000 n 
-0001359795 00000 n 
-0001359836 00000 n 
-0001359876 00000 n 
-0001360107 00000 n 
+0001051952 00000 n 
+0001049232 00000 n 
+0001052068 00000 n 
+0001052123 00000 n 
+0001052182 00000 n 
+0001916646 00000 n 
+0001055353 00000 n 
+0001055123 00000 n 
+0001052451 00000 n 
+0001055239 00000 n 
+0001055294 00000 n 
+0001057789 00000 n 
+0001057328 00000 n 
+0001055549 00000 n 
+0001057444 00000 n 
+0001057553 00000 n 
+0001057612 00000 n 
+0001057730 00000 n 
+0001058771 00000 n 
+0001089585 00000 n 
+0001058655 00000 n 
+0001057918 00000 n 
+0001089530 00000 n 
+0001088929 00000 n 
+0001089074 00000 n 
+0001089160 00000 n 
+0001089262 00000 n 
+0001089286 00000 n 
+0001092480 00000 n 
+0001091071 00000 n 
+0001090845 00000 n 
+0001089717 00000 n 
+0001090961 00000 n 
+0001091016 00000 n 
+0001123332 00000 n 
+0001092364 00000 n 
+0001091173 00000 n 
+0001123218 00000 n 
+0001123273 00000 n 
+0001122617 00000 n 
+0001122762 00000 n 
+0001122848 00000 n 
+0001122950 00000 n 
+0001122974 00000 n 
+0001126484 00000 n 
+0001126196 00000 n 
+0001123530 00000 n 
+0001126312 00000 n 
+0001126367 00000 n 
+0001126426 00000 n 
+0001916771 00000 n 
+0001129471 00000 n 
+0001129036 00000 n 
+0001126694 00000 n 
+0001129357 00000 n 
+0001129412 00000 n 
+0001129173 00000 n 
+0001130427 00000 n 
+0001130256 00000 n 
+0001129640 00000 n 
+0001130372 00000 n 
+0001133343 00000 n 
+0001132823 00000 n 
+0001130514 00000 n 
+0001133116 00000 n 
+0001132960 00000 n 
+0001133225 00000 n 
+0001133284 00000 n 
+0001135962 00000 n 
+0001135732 00000 n 
+0001133471 00000 n 
+0001135848 00000 n 
+0001135903 00000 n 
+0001137639 00000 n 
+0001137291 00000 n 
+0001136090 00000 n 
+0001137407 00000 n 
+0001137462 00000 n 
+0001137521 00000 n 
+0001137580 00000 n 
+0001140376 00000 n 
+0001140087 00000 n 
+0001137755 00000 n 
+0001140203 00000 n 
+0001140258 00000 n 
+0001140317 00000 n 
+0001916896 00000 n 
+0001143271 00000 n 
+0001143041 00000 n 
+0001140586 00000 n 
+0001143157 00000 n 
+0001143212 00000 n 
+0001145460 00000 n 
+0001145230 00000 n 
+0001143481 00000 n 
+0001145346 00000 n 
+0001145401 00000 n 
+0001148322 00000 n 
+0001147806 00000 n 
+0001145602 00000 n 
+0001147922 00000 n 
+0001148031 00000 n 
+0001148086 00000 n 
+0001148145 00000 n 
+0001148204 00000 n 
+0001148263 00000 n 
+0001149814 00000 n 
+0001149584 00000 n 
+0001148463 00000 n 
+0001149700 00000 n 
+0001149755 00000 n 
+0001154083 00000 n 
+0001152174 00000 n 
+0001149942 00000 n 
+0001153797 00000 n 
+0001153906 00000 n 
+0001153965 00000 n 
+0001152383 00000 n 
+0001152540 00000 n 
+0001152697 00000 n 
+0001152853 00000 n 
+0001153011 00000 n 
+0001153168 00000 n 
+0001153325 00000 n 
+0001153481 00000 n 
+0001153639 00000 n 
+0001154024 00000 n 
+0001156387 00000 n 
+0001156157 00000 n 
+0001154213 00000 n 
+0001156273 00000 n 
+0001156328 00000 n 
+0001917021 00000 n 
+0001159492 00000 n 
+0001159203 00000 n 
+0001156584 00000 n 
+0001159319 00000 n 
+0001159374 00000 n 
+0001159433 00000 n 
+0001161941 00000 n 
+0001161770 00000 n 
+0001159702 00000 n 
+0001161886 00000 n 
+0001164036 00000 n 
+0001163464 00000 n 
+0001162096 00000 n 
+0001163922 00000 n 
+0001163977 00000 n 
+0001163610 00000 n 
+0001163766 00000 n 
+0001167697 00000 n 
+0001165956 00000 n 
+0001165554 00000 n 
+0001164151 00000 n 
+0001165670 00000 n 
+0001165779 00000 n 
+0001165838 00000 n 
+0001165897 00000 n 
+0001188126 00000 n 
+0001167581 00000 n 
+0001166072 00000 n 
+0001188012 00000 n 
+0001188067 00000 n 
+0001187304 00000 n 
+0001187449 00000 n 
+0001187535 00000 n 
+0001187637 00000 n 
+0001187744 00000 n 
+0001187768 00000 n 
+0001191163 00000 n 
+0001190875 00000 n 
+0001188338 00000 n 
+0001190991 00000 n 
+0001191046 00000 n 
+0001191104 00000 n 
+0001917146 00000 n 
+0001193468 00000 n 
+0001193238 00000 n 
+0001191373 00000 n 
+0001193354 00000 n 
+0001193409 00000 n 
+0001196168 00000 n 
+0001195219 00000 n 
+0001194817 00000 n 
+0001193650 00000 n 
+0001194933 00000 n 
+0001195042 00000 n 
+0001195101 00000 n 
+0001195160 00000 n 
+0001209951 00000 n 
+0001208063 00000 n 
+0001196052 00000 n 
+0001195335 00000 n 
+0001207949 00000 n 
+0001208004 00000 n 
+0001207241 00000 n 
+0001207386 00000 n 
+0001207472 00000 n 
+0001207574 00000 n 
+0001207681 00000 n 
+0001207705 00000 n 
+0001231146 00000 n 
+0001209835 00000 n 
+0001208181 00000 n 
+0001231032 00000 n 
+0001231087 00000 n 
+0001230324 00000 n 
+0001230469 00000 n 
+0001230555 00000 n 
+0001230657 00000 n 
+0001230764 00000 n 
+0001230788 00000 n 
+0001234145 00000 n 
+0001233856 00000 n 
+0001231386 00000 n 
+0001233972 00000 n 
+0001234027 00000 n 
+0001234086 00000 n 
+0001236570 00000 n 
+0001236340 00000 n 
+0001234327 00000 n 
+0001236456 00000 n 
+0001236511 00000 n 
+0001917271 00000 n 
+0001241296 00000 n 
+0001239165 00000 n 
+0001236725 00000 n 
+0001240951 00000 n 
+0001239383 00000 n 
+0001241060 00000 n 
+0001241119 00000 n 
+0001239539 00000 n 
+0001239696 00000 n 
+0001239853 00000 n 
+0001240009 00000 n 
+0001240167 00000 n 
+0001240324 00000 n 
+0001240481 00000 n 
+0001240637 00000 n 
+0001240794 00000 n 
+0001241178 00000 n 
+0001241237 00000 n 
+0001243534 00000 n 
+0001242393 00000 n 
+0001242222 00000 n 
+0001241424 00000 n 
+0001242338 00000 n 
+0001273193 00000 n 
+0001243397 00000 n 
+0001242481 00000 n 
+0001273079 00000 n 
+0001273134 00000 n 
+0001272927 00000 n 
+0001272219 00000 n 
+0001272364 00000 n 
+0001272450 00000 n 
+0001272552 00000 n 
+0001272659 00000 n 
+0001272683 00000 n 
+0001276051 00000 n 
+0001275762 00000 n 
+0001273311 00000 n 
+0001275878 00000 n 
+0001275933 00000 n 
+0001275992 00000 n 
+0001279214 00000 n 
+0001278984 00000 n 
+0001276275 00000 n 
+0001279100 00000 n 
+0001279155 00000 n 
+0001281798 00000 n 
+0001281059 00000 n 
+0001279383 00000 n 
+0001281684 00000 n 
+0001281739 00000 n 
+0001281214 00000 n 
+0001281371 00000 n 
+0001281527 00000 n 
+0001917396 00000 n 
+0001284742 00000 n 
+0001284057 00000 n 
+0001281913 00000 n 
+0001284515 00000 n 
+0001284203 00000 n 
+0001284359 00000 n 
+0001284624 00000 n 
+0001284683 00000 n 
+0001287279 00000 n 
+0001286931 00000 n 
+0001284857 00000 n 
+0001287047 00000 n 
+0001287102 00000 n 
+0001287161 00000 n 
+0001287220 00000 n 
+0001289144 00000 n 
+0001288855 00000 n 
+0001287409 00000 n 
+0001288971 00000 n 
+0001289026 00000 n 
+0001289085 00000 n 
+0001291982 00000 n 
+0001291752 00000 n 
+0001289341 00000 n 
+0001291868 00000 n 
+0001291923 00000 n 
+0001294814 00000 n 
+0001294525 00000 n 
+0001292220 00000 n 
+0001294641 00000 n 
+0001294696 00000 n 
+0001294755 00000 n 
+0001297412 00000 n 
+0001296677 00000 n 
+0001294969 00000 n 
+0001297126 00000 n 
+0001297235 00000 n 
+0001296823 00000 n 
+0001296974 00000 n 
+0001297294 00000 n 
+0001297353 00000 n 
+0001917521 00000 n 
+0001300306 00000 n 
+0001300021 00000 n 
+0001297528 00000 n 
+0001300137 00000 n 
+0001300192 00000 n 
+0001300247 00000 n 
+0001303553 00000 n 
+0001303264 00000 n 
+0001300517 00000 n 
+0001303380 00000 n 
+0001303435 00000 n 
+0001303494 00000 n 
+0001306532 00000 n 
+0001305961 00000 n 
+0001303777 00000 n 
+0001306419 00000 n 
+0001306474 00000 n 
+0001306107 00000 n 
+0001306263 00000 n 
+0001307473 00000 n 
+0001307302 00000 n 
+0001306701 00000 n 
+0001307418 00000 n 
+0001310243 00000 n 
+0001309342 00000 n 
+0001307560 00000 n 
+0001309957 00000 n 
+0001309497 00000 n 
+0001310066 00000 n 
+0001309654 00000 n 
+0001309805 00000 n 
+0001310125 00000 n 
+0001310184 00000 n 
+0001313041 00000 n 
+0001311508 00000 n 
+0001311278 00000 n 
+0001310359 00000 n 
+0001311394 00000 n 
+0001311449 00000 n 
+0001917646 00000 n 
+0001381669 00000 n 
+0001312925 00000 n 
+0001311610 00000 n 
+0001381555 00000 n 
+0001381610 00000 n 
+0001380847 00000 n 
+0001380992 00000 n 
+0001381078 00000 n 
+0001381180 00000 n 
+0001381287 00000 n 
+0001381311 00000 n 
+0001384414 00000 n 
+0001384185 00000 n 
+0001381881 00000 n 
+0001384301 00000 n 
+0001384356 00000 n 
+0001387298 00000 n 
+0001387068 00000 n 
+0001384652 00000 n 
+0001387184 00000 n 
+0001387239 00000 n 
+0001389054 00000 n 
+0001388619 00000 n 
+0001387453 00000 n 
+0001388940 00000 n 
+0001388995 00000 n 
+0001388756 00000 n 
+0001391790 00000 n 
+0001391269 00000 n 
+0001389169 00000 n 
+0001391563 00000 n 
+0001391406 00000 n 
+0001391672 00000 n 
+0001391731 00000 n 
+0001394437 00000 n 
+0001394091 00000 n 
+0001391905 00000 n 
+0001394207 00000 n 
+0001394262 00000 n 
+0001394320 00000 n 
+0001394378 00000 n 
+0001917771 00000 n 
+0001396811 00000 n 
+0001396522 00000 n 
+0001394567 00000 n 
+0001396638 00000 n 
+0001396693 00000 n 
+0001396752 00000 n 
+0001399985 00000 n 
+0001399755 00000 n 
+0001397022 00000 n 
+0001399871 00000 n 
+0001399926 00000 n 
+0001403118 00000 n 
+0001402888 00000 n 
+0001400209 00000 n 
+0001403004 00000 n 
+0001403059 00000 n 
+0001404469 00000 n 
+0001404239 00000 n 
+0001403328 00000 n 
+0001404355 00000 n 
+0001404410 00000 n 
+0001409157 00000 n 
+0001406917 00000 n 
+0001404584 00000 n 
+0001408871 00000 n 
+0001407144 00000 n 
+0001407301 00000 n 
+0001408980 00000 n 
+0001409039 00000 n 
+0001407458 00000 n 
+0001407616 00000 n 
+0001407774 00000 n 
+0001407930 00000 n 
+0001408088 00000 n 
+0001408244 00000 n 
+0001408401 00000 n 
+0001408557 00000 n 
+0001408714 00000 n 
+0001409098 00000 n 
+0001409953 00000 n 
+0001422404 00000 n 
+0001409837 00000 n 
+0001409287 00000 n 
+0001422349 00000 n 
+0001917896 00000 n 
+0001421641 00000 n 
+0001421786 00000 n 
+0001421872 00000 n 
+0001421974 00000 n 
+0001422081 00000 n 
+0001422105 00000 n 
+0001425277 00000 n 
+0001424989 00000 n 
+0001422522 00000 n 
+0001425105 00000 n 
+0001425160 00000 n 
+0001425219 00000 n 
+0001428483 00000 n 
+0001428253 00000 n 
+0001425501 00000 n 
+0001428369 00000 n 
+0001428424 00000 n 
+0001430948 00000 n 
+0001430209 00000 n 
+0001428652 00000 n 
+0001430834 00000 n 
+0001430889 00000 n 
+0001430364 00000 n 
+0001430521 00000 n 
+0001430677 00000 n 
+0001433792 00000 n 
+0001433271 00000 n 
+0001431063 00000 n 
+0001433565 00000 n 
+0001433408 00000 n 
+0001433674 00000 n 
+0001433733 00000 n 
+0001436456 00000 n 
+0001436110 00000 n 
+0001433920 00000 n 
+0001436226 00000 n 
+0001436281 00000 n 
+0001436339 00000 n 
+0001436397 00000 n 
+0001438574 00000 n 
+0001438286 00000 n 
+0001436586 00000 n 
+0001438402 00000 n 
+0001438457 00000 n 
+0001438516 00000 n 
+0001918021 00000 n 
+0001441375 00000 n 
+0001441086 00000 n 
+0001438799 00000 n 
+0001441202 00000 n 
+0001441257 00000 n 
+0001441316 00000 n 
+0001443465 00000 n 
+0001443236 00000 n 
+0001441585 00000 n 
+0001443352 00000 n 
+0001443407 00000 n 
+0001447920 00000 n 
+0001445845 00000 n 
+0001443594 00000 n 
+0001447634 00000 n 
+0001446063 00000 n 
+0001447743 00000 n 
+0001447802 00000 n 
+0001446220 00000 n 
+0001446377 00000 n 
+0001446534 00000 n 
+0001446690 00000 n 
+0001446848 00000 n 
+0001447005 00000 n 
+0001447162 00000 n 
+0001447318 00000 n 
+0001447476 00000 n 
+0001447861 00000 n 
+0001450015 00000 n 
+0001449726 00000 n 
+0001448050 00000 n 
+0001449842 00000 n 
+0001449897 00000 n 
+0001449956 00000 n 
+0001453144 00000 n 
+0001452914 00000 n 
+0001450212 00000 n 
+0001453030 00000 n 
+0001453085 00000 n 
+0001456138 00000 n 
+0001455566 00000 n 
+0001453354 00000 n 
+0001456024 00000 n 
+0001456079 00000 n 
+0001455712 00000 n 
+0001455867 00000 n 
+0001918146 00000 n 
+0001457080 00000 n 
+0001456909 00000 n 
+0001456293 00000 n 
+0001457025 00000 n 
+0001460232 00000 n 
+0001459381 00000 n 
+0001457167 00000 n 
+0001460005 00000 n 
+0001459536 00000 n 
+0001459692 00000 n 
+0001459848 00000 n 
+0001460114 00000 n 
+0001460173 00000 n 
+0001462861 00000 n 
+0001462514 00000 n 
+0001460347 00000 n 
+0001462630 00000 n 
+0001462685 00000 n 
+0001462744 00000 n 
+0001462803 00000 n 
+0001465047 00000 n 
+0001464758 00000 n 
+0001462991 00000 n 
+0001464874 00000 n 
+0001464929 00000 n 
+0001464988 00000 n 
+0001467629 00000 n 
+0001467399 00000 n 
+0001465272 00000 n 
+0001467515 00000 n 
+0001467570 00000 n 
+0001470346 00000 n 
+0001470057 00000 n 
+0001467867 00000 n 
+0001470173 00000 n 
+0001470228 00000 n 
+0001470287 00000 n 
+0001918271 00000 n 
+0001471268 00000 n 
+0001471097 00000 n 
+0001470475 00000 n 
+0001471213 00000 n 
+0001474772 00000 n 
+0001473919 00000 n 
+0001471369 00000 n 
+0001474545 00000 n 
+0001474074 00000 n 
+0001474654 00000 n 
+0001474713 00000 n 
+0001474230 00000 n 
+0001474387 00000 n 
+0001479425 00000 n 
+0001478313 00000 n 
+0001476910 00000 n 
+0001474900 00000 n 
+0001478199 00000 n 
+0001477101 00000 n 
+0001477256 00000 n 
+0001477413 00000 n 
+0001477570 00000 n 
+0001477727 00000 n 
+0001477883 00000 n 
+0001478041 00000 n 
+0001478254 00000 n 
+0001491332 00000 n 
+0001479309 00000 n 
+0001478469 00000 n 
+0001491218 00000 n 
+0001491273 00000 n 
+0001490510 00000 n 
+0001490655 00000 n 
+0001490741 00000 n 
+0001490843 00000 n 
+0001490950 00000 n 
+0001490974 00000 n 
+0001494155 00000 n 
+0001492717 00000 n 
+0001492487 00000 n 
+0001491464 00000 n 
+0001492603 00000 n 
+0001492658 00000 n 
+0001505740 00000 n 
+0001494039 00000 n 
+0001492845 00000 n 
+0001505626 00000 n 
+0001505681 00000 n 
+0001918396 00000 n 
+0001504918 00000 n 
+0001505063 00000 n 
+0001505149 00000 n 
+0001505251 00000 n 
+0001505358 00000 n 
+0001505382 00000 n 
+0001509236 00000 n 
+0001508951 00000 n 
+0001505925 00000 n 
+0001509067 00000 n 
+0001509122 00000 n 
+0001509177 00000 n 
+0001512689 00000 n 
+0001512252 00000 n 
+0001509418 00000 n 
+0001512575 00000 n 
+0001512630 00000 n 
+0001512389 00000 n 
+0001515929 00000 n 
+0001515699 00000 n 
+0001512899 00000 n 
+0001515815 00000 n 
+0001515870 00000 n 
+0001518601 00000 n 
+0001518312 00000 n 
+0001516098 00000 n 
+0001518428 00000 n 
+0001518483 00000 n 
+0001518542 00000 n 
+0001519468 00000 n 
+0001519297 00000 n 
+0001518756 00000 n 
+0001519413 00000 n 
+0001523503 00000 n 
+0001521827 00000 n 
+0001519555 00000 n 
+0001523276 00000 n 
+0001522027 00000 n 
+0001522184 00000 n 
+0001522341 00000 n 
+0001523385 00000 n 
+0001523444 00000 n 
+0001522497 00000 n 
+0001522653 00000 n 
+0001522809 00000 n 
+0001522964 00000 n 
+0001523120 00000 n 
+0001918521 00000 n 
+0001525813 00000 n 
+0001525407 00000 n 
+0001523618 00000 n 
+0001525523 00000 n 
+0001525578 00000 n 
+0001525637 00000 n 
+0001525695 00000 n 
+0001525754 00000 n 
+0001528927 00000 n 
+0001528638 00000 n 
+0001526038 00000 n 
+0001528754 00000 n 
+0001528809 00000 n 
+0001528868 00000 n 
+0001530827 00000 n 
+0001530597 00000 n 
+0001529151 00000 n 
+0001530713 00000 n 
+0001530768 00000 n 
+0001534031 00000 n 
+0001533120 00000 n 
+0001530956 00000 n 
+0001533745 00000 n 
+0001533275 00000 n 
+0001533432 00000 n 
+0001533589 00000 n 
+0001533854 00000 n 
+0001533913 00000 n 
+0001533972 00000 n 
+0001536597 00000 n 
+0001536367 00000 n 
+0001534146 00000 n 
+0001536483 00000 n 
+0001536538 00000 n 
+0001538265 00000 n 
+0001537917 00000 n 
+0001536712 00000 n 
+0001538033 00000 n 
+0001538088 00000 n 
+0001538147 00000 n 
+0001538206 00000 n 
+0001918646 00000 n 
+0001541160 00000 n 
+0001540871 00000 n 
+0001538381 00000 n 
+0001540987 00000 n 
+0001541042 00000 n 
+0001541101 00000 n 
+0001544501 00000 n 
+0001544271 00000 n 
+0001541370 00000 n 
+0001544387 00000 n 
+0001544442 00000 n 
+0001545900 00000 n 
+0001545670 00000 n 
+0001544711 00000 n 
+0001545786 00000 n 
+0001545841 00000 n 
+0001549680 00000 n 
+0001548501 00000 n 
+0001546015 00000 n 
+0001549453 00000 n 
+0001548674 00000 n 
+0001549562 00000 n 
+0001549621 00000 n 
+0001548830 00000 n 
+0001548986 00000 n 
+0001549142 00000 n 
+0001549297 00000 n 
+0001552899 00000 n 
+0001550855 00000 n 
+0001550625 00000 n 
+0001549836 00000 n 
+0001550741 00000 n 
+0001550796 00000 n 
+0001582837 00000 n 
+0001552762 00000 n 
+0001550971 00000 n 
+0001582723 00000 n 
+0001582778 00000 n 
+0001582567 00000 n 
+0001918771 00000 n 
+0001581859 00000 n 
+0001582004 00000 n 
+0001582090 00000 n 
+0001582192 00000 n 
+0001582299 00000 n 
+0001582323 00000 n 
+0001586110 00000 n 
+0001585880 00000 n 
+0001583077 00000 n 
+0001585996 00000 n 
+0001586051 00000 n 
+0001589503 00000 n 
+0001589273 00000 n 
+0001586334 00000 n 
+0001589389 00000 n 
+0001589444 00000 n 
+0001591865 00000 n 
+0001591635 00000 n 
+0001589713 00000 n 
+0001591751 00000 n 
+0001591806 00000 n 
+0001594024 00000 n 
+0001593505 00000 n 
+0001592034 00000 n 
+0001593621 00000 n 
+0001593788 00000 n 
+0001593847 00000 n 
+0001593965 00000 n 
+0001596689 00000 n 
+0001596518 00000 n 
+0001594153 00000 n 
+0001596634 00000 n 
+0001599750 00000 n 
+0001599520 00000 n 
+0001596830 00000 n 
+0001599636 00000 n 
+0001599691 00000 n 
+0001918896 00000 n 
+0001601832 00000 n 
+0001601311 00000 n 
+0001599851 00000 n 
+0001601777 00000 n 
+0001601457 00000 n 
+0001601617 00000 n 
+0001603074 00000 n 
+0001602446 00000 n 
+0001601919 00000 n 
+0001602901 00000 n 
+0001602956 00000 n 
+0001602592 00000 n 
+0001602745 00000 n 
+0001603015 00000 n 
+0001605409 00000 n 
+0001604661 00000 n 
+0001603189 00000 n 
+0001604951 00000 n 
+0001605060 00000 n 
+0001605119 00000 n 
+0001605178 00000 n 
+0001605237 00000 n 
+0001605295 00000 n 
+0001604798 00000 n 
+0001605350 00000 n 
+0001608071 00000 n 
+0001607551 00000 n 
+0001605524 00000 n 
+0001607667 00000 n 
+0001607776 00000 n 
+0001607835 00000 n 
+0001607894 00000 n 
+0001607953 00000 n 
+0001608012 00000 n 
+0001609271 00000 n 
+0001608641 00000 n 
+0001608186 00000 n 
+0001609098 00000 n 
+0001609153 00000 n 
+0001608787 00000 n 
+0001608943 00000 n 
+0001609212 00000 n 
+0001611807 00000 n 
+0001611346 00000 n 
+0001609386 00000 n 
+0001611462 00000 n 
+0001611571 00000 n 
+0001611630 00000 n 
+0001611689 00000 n 
+0001611748 00000 n 
+0001919021 00000 n 
+0001614573 00000 n 
+0001613725 00000 n 
+0001611948 00000 n 
+0001614341 00000 n 
+0001614396 00000 n 
+0001613880 00000 n 
+0001614455 00000 n 
+0001614034 00000 n 
+0001614188 00000 n 
+0001614514 00000 n 
+0001619719 00000 n 
+0001617911 00000 n 
+0001616828 00000 n 
+0001614714 00000 n 
+0001617448 00000 n 
+0001617557 00000 n 
+0001617616 00000 n 
+0001617675 00000 n 
+0001617734 00000 n 
+0001616983 00000 n 
+0001617793 00000 n 
+0001617852 00000 n 
+0001617137 00000 n 
+0001617292 00000 n 
+0001618543 00000 n 
+0001618313 00000 n 
+0001618026 00000 n 
+0001618429 00000 n 
+0001618484 00000 n 
+0001619782 00000 n 
+0001619548 00000 n 
+0001618630 00000 n 
+0001619664 00000 n 
+0001623105 00000 n 
+0001622247 00000 n 
+0001619882 00000 n 
+0001622701 00000 n 
+0001622810 00000 n 
+0001622393 00000 n 
+0001622869 00000 n 
+0001622928 00000 n 
+0001622987 00000 n 
+0001623046 00000 n 
+0001622547 00000 n 
+0001625115 00000 n 
+0001624485 00000 n 
+0001623220 00000 n 
+0001624942 00000 n 
+0001624997 00000 n 
+0001624631 00000 n 
+0001624787 00000 n 
+0001625056 00000 n 
+0001919146 00000 n 
+0001627344 00000 n 
+0001626427 00000 n 
+0001625256 00000 n 
+0001626881 00000 n 
+0001626990 00000 n 
+0001627049 00000 n 
+0001627108 00000 n 
+0001627167 00000 n 
+0001627226 00000 n 
+0001626573 00000 n 
+0001626729 00000 n 
+0001627285 00000 n 
+0001629755 00000 n 
+0001628779 00000 n 
+0001627459 00000 n 
+0001629234 00000 n 
+0001629343 00000 n 
+0001629402 00000 n 
+0001629461 00000 n 
+0001629520 00000 n 
+0001629578 00000 n 
+0001629637 00000 n 
+0001628925 00000 n 
+0001629081 00000 n 
+0001629696 00000 n 
+0001631972 00000 n 
+0001630995 00000 n 
+0001629870 00000 n 
+0001631452 00000 n 
+0001631561 00000 n 
+0001631620 00000 n 
+0001631678 00000 n 
+0001631736 00000 n 
+0001631795 00000 n 
+0001631854 00000 n 
+0001631141 00000 n 
+0001631296 00000 n 
+0001631913 00000 n 
+0001632537 00000 n 
+0001632308 00000 n 
+0001632087 00000 n 
+0001632424 00000 n 
+0001635653 00000 n 
+0001634509 00000 n 
+0001632624 00000 n 
+0001635368 00000 n 
+0001635535 00000 n 
+0001634673 00000 n 
+0001635594 00000 n 
+0001634852 00000 n 
+0001635007 00000 n 
+0001635182 00000 n 
+0001639806 00000 n 
+0001638062 00000 n 
+0001635768 00000 n 
+0001639574 00000 n 
+0001639629 00000 n 
+0001638253 00000 n 
+0001638436 00000 n 
+0001638636 00000 n 
+0001639688 00000 n 
+0001639747 00000 n 
+0001638816 00000 n 
+0001639010 00000 n 
+0001639203 00000 n 
+0001639389 00000 n 
+0001919271 00000 n 
+0001645261 00000 n 
+0001644191 00000 n 
+0001642578 00000 n 
+0001639948 00000 n 
+0001643959 00000 n 
+0001644014 00000 n 
+0001644073 00000 n 
+0001642760 00000 n 
+0001642944 00000 n 
+0001643146 00000 n 
+0001643358 00000 n 
+0001643569 00000 n 
+0001643760 00000 n 
+0001644132 00000 n 
+0001675704 00000 n 
+0001645145 00000 n 
+0001644306 00000 n 
+0001675590 00000 n 
+0001675645 00000 n 
+0001645715 00000 n 
+0001645772 00000 n 
+0001645837 00000 n 
+0001675568 00000 n 
+0001679609 00000 n 
+0001678622 00000 n 
+0001675848 00000 n 
+0001679319 00000 n 
+0001679374 00000 n 
+0001678777 00000 n 
+0001679491 00000 n 
+0001678950 00000 n 
+0001679134 00000 n 
+0001679550 00000 n 
+0001681364 00000 n 
+0001681134 00000 n 
+0001679751 00000 n 
+0001681250 00000 n 
+0001681305 00000 n 
+0001683316 00000 n 
+0001683034 00000 n 
+0001681479 00000 n 
+0001683150 00000 n 
+0001685115 00000 n 
+0001684944 00000 n 
+0001683431 00000 n 
+0001685060 00000 n 
+0001919396 00000 n 
+0001687498 00000 n 
+0001687327 00000 n 
+0001685245 00000 n 
+0001687443 00000 n 
+0001690072 00000 n 
+0001689901 00000 n 
+0001687641 00000 n 
+0001690017 00000 n 
+0001692786 00000 n 
+0001692615 00000 n 
+0001690187 00000 n 
+0001692731 00000 n 
+0001695653 00000 n 
+0001695482 00000 n 
+0001692915 00000 n 
+0001695598 00000 n 
+0001697428 00000 n 
+0001696993 00000 n 
+0001695782 00000 n 
+0001697315 00000 n 
+0001697130 00000 n 
+0001699942 00000 n 
+0001699712 00000 n 
+0001697543 00000 n 
+0001699828 00000 n 
+0001699883 00000 n 
+0001919521 00000 n 
+0001702761 00000 n 
+0001702590 00000 n 
+0001700043 00000 n 
+0001702706 00000 n 
+0001705881 00000 n 
+0001705710 00000 n 
+0001702848 00000 n 
+0001705826 00000 n 
+0001706721 00000 n 
+0001706550 00000 n 
+0001705994 00000 n 
+0001706666 00000 n 
+0001706808 00000 n 
+0001710109 00000 n 
+0001710134 00000 n 
+0001724557 00000 n 
+0001727058 00000 n 
+0001727032 00000 n 
+0001727148 00000 n 
+0001730349 00000 n 
+0001730374 00000 n 
+0001734622 00000 n 
+0001734687 00000 n 
+0001738119 00000 n 
+0001740800 00000 n 
+0001743586 00000 n 
+0001751184 00000 n 
+0001750878 00000 n 
+0001751833 00000 n 
+0001757060 00000 n 
+0001765310 00000 n 
+0001769045 00000 n 
+0001768992 00000 n 
+0001772162 00000 n 
+0001772077 00000 n 
+0001775546 00000 n 
+0001775317 00000 n 
+0001778919 00000 n 
+0001778690 00000 n 
+0001779061 00000 n 
+0001779257 00000 n 
+0001779520 00000 n 
+0001779741 00000 n 
+0001780235 00000 n 
+0001780468 00000 n 
+0001780586 00000 n 
+0001783285 00000 n 
+0001795867 00000 n 
+0001814084 00000 n 
+0001819401 00000 n 
+0001836379 00000 n 
+0001851032 00000 n 
+0001866044 00000 n 
+0001871125 00000 n 
+0001886171 00000 n 
+0001905839 00000 n 
+0001911703 00000 n 
+0001919628 00000 n 
+0001919749 00000 n 
+0001919875 00000 n 
+0001920001 00000 n 
+0001920127 00000 n 
+0001920253 00000 n 
+0001920379 00000 n 
+0001920505 00000 n 
+0001920631 00000 n 
+0001920757 00000 n 
+0001920883 00000 n 
+0001920973 00000 n 
+0001921100 00000 n 
+0001921218 00000 n 
+0001921292 00000 n 
+0001933965 00000 n 
+0001962014 00000 n 
+0001962055 00000 n 
+0001962095 00000 n 
+0001962326 00000 n 
 trailer
 <<
-/Size 3550
-/Root 3548 0 R
-/Info 3549 0 R
+/Size 3828
+/Root 3826 0 R
+/Info 3827 0 R
 >>
 startxref
-1360263
+1962482
 %%EOF
diff --git a/inst/doc/zelig.tex b/inst/doc/zelig.tex
index 9645c64..48540a0 100644
--- a/inst/doc/zelig.tex
+++ b/inst/doc/zelig.tex
@@ -1,5 +1,8 @@
 \documentclass[oneside,letterpaper,12pt]{book}
 %\usepackage[ae,hyper]{Rd}
+
+\usepackage{Rd}
+\usepackage{/usr/lib64/R/share/texmf/Sweave}
 \usepackage{bibentry}
 \usepackage{upquote}
 \usepackage{graphicx}
@@ -59,7 +62,7 @@ Olivia Lau\thanks{Ph.D.\ Candidate, Department of Government, Harvard
   \texttt{OLau at Fas.Harvard.Edu}).}}
 
 % rbuild: replace 'Version ' '\\' Version
-\date{Version 2.8-3\\ \today}
+\date{Version 2.8-4\\ \today}
 
 \begin{document}
 \maketitle
diff --git a/inst/doc/zelig.toc b/inst/doc/zelig.toc
deleted file mode 100644
index 0be94c7..0000000
--- a/inst/doc/zelig.toc
+++ /dev/null
@@ -1,562 +0,0 @@
-\contentsline {chapter}{\numberline {1}Introduction}{7}{chapter.1}
-\contentsline {section}{\numberline {1.1}What Zelig and R Do}{7}{section.1.1}
-\contentsline {section}{\numberline {1.2}Getting Help}{8}{section.1.2}
-\contentsline {part}{I\hspace {1em}User's Guide}{10}{part.1}
-\contentsline {chapter}{\numberline {2}Installation}{11}{chapter.2}
-\contentsline {subsubsection}{If You Know R}{11}{section*.3}
-\contentsline {subsubsection}{If You Are New to R}{11}{section*.4}
-\contentsline {section}{\numberline {2.1}Windows}{12}{section.2.1}
-\contentsline {subsubsection}{Installing R}{12}{section*.5}
-\contentsline {subsubsection}{Installing Zelig}{12}{section*.6}
-\contentsline {subsubsection}{Updating Zelig}{13}{section*.7}
-\contentsline {section}{\numberline {2.2}MacOS X}{13}{section.2.2}
-\contentsline {subsubsection}{Installing R}{13}{section*.8}
-\contentsline {subsubsection}{Installing Zelig}{13}{section*.9}
-\contentsline {subsubsection}{Updating Zelig}{15}{section*.10}
-\contentsline {section}{\numberline {2.3}UNIX and Linux}{16}{section.2.3}
-\contentsline {subsubsection}{Installing R}{16}{section*.11}
-\contentsline {subsubsection}{Installing Zelig}{16}{section*.12}
-\contentsline {subsubsection}{Updating Zelig}{17}{section*.13}
-\contentsline {section}{\numberline {2.4}Version Compatability}{18}{section.2.4}
-\contentsline {chapter}{\numberline {3}Data Analysis Commands}{19}{chapter.3}
-\contentsline {section}{\numberline {3.1}Command Syntax}{19}{section.3.1}
-\contentsline {subsection}{\numberline {3.1.1}Getting Started}{19}{subsection.3.1.1}
-\contentsline {subsection}{\numberline {3.1.2}Details}{20}{subsection.3.1.2}
-\contentsline {section}{\numberline {3.2}Data Sets}{21}{section.3.2}
-\contentsline {subsection}{\numberline {3.2.1}Data Structures}{21}{subsection.3.2.1}
-\contentsline {subsection}{\numberline {3.2.2}Loading Data}{21}{subsection.3.2.2}
-\contentsline {subsection}{\numberline {3.2.3}Saving Data}{23}{subsection.3.2.3}
-\contentsline {section}{\numberline {3.3}Variables}{24}{section.3.3}
-\contentsline {subsection}{\numberline {3.3.1}Classes of Variables}{24}{subsection.3.3.1}
-\contentsline {subsection}{\numberline {3.3.2}Recoding Variables}{25}{subsection.3.3.2}
-\contentsline {chapter}{\numberline {4}Statistical Commands}{30}{chapter.4}
-\contentsline {section}{\numberline {4.1}Zelig Commands}{30}{section.4.1}
-\contentsline {subsection}{\numberline {4.1.1}Quick Overview}{30}{subsection.4.1.1}
-\contentsline {subsection}{\numberline {4.1.2}Examples}{31}{subsection.4.1.2}
-\contentsline {subsection}{\numberline {4.1.3}Details}{33}{subsection.4.1.3}
-\contentsline {section}{\numberline {4.2}Supported Models}{38}{section.4.2}
-\contentsline {section}{\numberline {4.3}Replication Procedures}{41}{section.4.3}
-\contentsline {subsection}{\numberline {4.3.1}Saving Replication Materials}{42}{subsection.4.3.1}
-\contentsline {subsection}{\numberline {4.3.2}Replicating Analyses}{42}{subsection.4.3.2}
-\contentsline {chapter}{\numberline {5}Graphing Commands}{44}{chapter.5}
-\contentsline {section}{\numberline {5.1}Drawing Plots}{44}{section.5.1}
-\contentsline {section}{\numberline {5.2}Adding Points, Lines, and Legends to Existing Plots}{46}{section.5.2}
-\contentsline {section}{\numberline {5.3}Saving Graphs to Files}{46}{section.5.3}
-\contentsline {section}{\numberline {5.4}Examples}{48}{section.5.4}
-\contentsline {subsection}{\numberline {5.4.1}Descriptive Plots: Box-plots}{48}{subsection.5.4.1}
-\contentsline {subsection}{\numberline {5.4.2}Density Plots: A Histogram}{49}{subsection.5.4.2}
-\contentsline {subsection}{\numberline {5.4.3}Advanced Examples}{50}{subsection.5.4.3}
-\contentsline {part}{II\hspace {1em}Advanced Zelig Uses}{53}{part.2}
-\contentsline {chapter}{\numberline {6}R Objects}{54}{chapter.6}
-\contentsline {section}{\numberline {6.1}Scalar Values}{54}{section.6.1}
-\contentsline {section}{\numberline {6.2}Data Structures}{55}{section.6.2}
-\contentsline {subsection}{\numberline {6.2.1}Arrays}{55}{subsection.6.2.1}
-\contentsline {subsection}{\numberline {6.2.2}Lists}{58}{subsection.6.2.2}
-\contentsline {subsection}{\numberline {6.2.3}Data Frames}{59}{subsection.6.2.3}
-\contentsline {subsection}{\numberline {6.2.4}Identifying Objects and Data Structures}{60}{subsection.6.2.4}
-\contentsline {chapter}{\numberline {7}Programming Statements}{61}{chapter.7}
-\contentsline {section}{\numberline {7.1}Functions}{61}{section.7.1}
-\contentsline {section}{\numberline {7.2}If-Statements}{61}{section.7.2}
-\contentsline {section}{\numberline {7.3}For-Loops}{62}{section.7.3}
-\contentsline {paragraph}{Example 1: Creating a vector with a logical statement}{62}{section*.24}
-\contentsline {paragraph}{Example 2: Creating dummy variables by hand}{63}{section*.25}
-\contentsline {paragraph}{Example 3: Weighted regression with subsets}{64}{section*.26}
-\contentsline {chapter}{\numberline {8}Writing New Models}{66}{chapter.8}
-\contentsline {section}{\numberline {8.1}Managing Statistical Model Inputs}{67}{section.8.1}
-\contentsline {subsection}{\numberline {8.1.1}Describe the Statistical Model}{67}{subsection.8.1.1}
-\contentsline {subsection}{\numberline {8.1.2}Single Response Variable Models: Normal Regression Model}{68}{subsection.8.1.2}
-\contentsline {subsection}{\numberline {8.1.3}Multivariate models: Bivariate Normal example}{71}{subsection.8.1.3}
-\contentsline {section}{\numberline {8.2}Easy Ways to Manage Matrices}{73}{section.8.2}
-\contentsline {subsection}{\numberline {8.2.1}The Intuitive Layout}{74}{subsection.8.2.1}
-\contentsline {subsection}{\numberline {8.2.2}The Computationally-Efficient Layout}{74}{subsection.8.2.2}
-\contentsline {subsection}{\numberline {8.2.3}The Memory-Efficient Layout}{75}{subsection.8.2.3}
-\contentsline {subsection}{\numberline {8.2.4}Interchanging the Three Methods}{75}{subsection.8.2.4}
-\contentsline {chapter}{\numberline {9}Adding Models and Methods to Zelig}{78}{chapter.9}
-\contentsline {section}{\numberline {9.1}Making the Model Compatible with Zelig}{79}{section.9.1}
-\contentsline {subsubsection}{To Work with {\tt zelig()}}{80}{section*.27}
-\contentsline {subsubsection}{To Work with {\tt setx()}}{81}{section*.28}
-\contentsline {subsubsection}{Compatibility with {\tt sim()}}{81}{section*.29}
-\contentsline {paragraph}{Simulating Parameters}{81}{section*.30}
-\contentsline {paragraph}{Calculating Quantities of Interest}{83}{section*.31}
-\contentsline {section}{\numberline {9.2}Getting Ready for the GUI}{85}{section.9.2}
-\contentsline {section}{\numberline {9.3}Formatting Reference Manual Pages}{85}{section.9.3}
-\contentsline {part}{III\hspace {1em}Reference Manual}{88}{part.3}
-\contentsline {chapter}{\numberline {10}Main Commands}{89}{chapter.10}
-\contentsline {section}{\numberline {10.1}{\tt zelig}: Estimating a Statistical Model}{89}{section.10.1}
-\contentsline {subsubsection}{Description}{89}{section*.33}
-\contentsline {subsubsection}{Syntax}{89}{section*.34}
-\contentsline {subsubsection}{Arguments}{89}{section*.35}
-\contentsline {subsubsection}{Output Values}{91}{section*.36}
-\contentsline {subsubsection}{Examples}{91}{section*.37}
-\contentsline {subsubsection}{See Also}{92}{section*.38}
-\contentsline {subsubsection}{Contributors}{92}{section*.39}
-\contentsline {section}{\numberline {10.2}{\tt setx}: Setting Explanatory Variable Values}{93}{section.10.2}
-\contentsline {subsubsection}{Description}{93}{section*.40}
-\contentsline {subsubsection}{Syntax}{93}{section*.41}
-\contentsline {subsubsection}{Arguments}{93}{section*.42}
-\contentsline {subsubsection}{Output Values}{94}{section*.43}
-\contentsline {subsubsection}{Example: Unconditional Prediction}{94}{section*.44}
-\contentsline {subsubsection}{Example: Conditional Prediction With MatchIt Data}{94}{section*.45}
-\contentsline {subsubsection}{Example: Conditional Prediction With Multiple Analyses}{95}{section*.46}
-\contentsline {subsubsection}{See Also}{95}{section*.47}
-\contentsline {subsubsection}{Contributors}{95}{section*.48}
-\contentsline {section}{\numberline {10.3}{\tt sim}: Simulating Quantities of Interest}{96}{section.10.3}
-\contentsline {subsubsection}{Description}{96}{section*.49}
-\contentsline {subsubsection}{Syntax}{96}{section*.50}
-\contentsline {subsubsection}{Arguments}{96}{section*.51}
-\contentsline {subsubsection}{Output Values}{97}{section*.52}
-\contentsline {subsubsection}{See Also}{98}{section*.53}
-\contentsline {subsubsection}{Contributors}{98}{section*.54}
-\contentsline {section}{\numberline {10.4}{\tt summary}: Summarizing Zelig Output}{99}{section.10.4}
-\contentsline {subsubsection}{Description}{99}{section*.55}
-\contentsline {subsubsection}{Syntax}{99}{section*.56}
-\contentsline {subsubsection}{Arguments for multiply-imputed {\tt zelig()} output}{99}{section*.57}
-\contentsline {subsubsection}{Arguments for subsetted {\tt zelig()} output}{99}{section*.58}
-\contentsline {subsubsection}{Arguments for {\tt sim()} output}{100}{section*.59}
-\contentsline {subsubsection}{Output Values}{100}{section*.60}
-\contentsline {subsubsection}{See Also}{100}{section*.61}
-\contentsline {subsubsection}{Contributors}{101}{section*.62}
-\contentsline {section}{\numberline {10.5}{\tt plot}: Graphing Quantities of Interest}{102}{section.10.5}
-\contentsline {subsubsection}{Description}{102}{section*.63}
-\contentsline {subsubsection}{Syntax}{102}{section*.64}
-\contentsline {subsubsection}{Arguments}{102}{section*.65}
-\contentsline {subsubsection}{Output Values}{102}{section*.66}
-\contentsline {subsubsection}{Examples}{102}{section*.67}
-\contentsline {subsubsection}{See Also}{103}{section*.68}
-\contentsline {subsubsection}{Contributors}{103}{section*.69}
-\contentsline {section}{\numberline {10.6}{\tt print}: Printing Quantities of Interest}{104}{section.10.6}
-\contentsline {subsubsection}{Description}{104}{section*.70}
-\contentsline {subsubsection}{Syntax}{104}{section*.71}
-\contentsline {subsubsection}{Arguments}{104}{section*.72}
-\contentsline {subsubsection}{Examples}{104}{section*.73}
-\contentsline {subsubsection}{See Also}{104}{section*.74}
-\contentsline {subsubsection}{Contributors}{104}{section*.75}
-\contentsline {section}{\numberline {10.7}{\tt repl}: Replicating Analyses}{105}{section.10.7}
-\contentsline {subsubsection}{Description}{105}{section*.76}
-\contentsline {subsubsection}{Syntax}{105}{section*.77}
-\contentsline {subsubsection}{Arguments}{105}{section*.78}
-\contentsline {subsubsection}{Output Values}{105}{section*.79}
-\contentsline {subsubsection}{Examples}{106}{section*.80}
-\contentsline {subsubsection}{See Also}{106}{section*.81}
-\contentsline {subsubsection}{Contributors}{106}{section*.82}
-\contentsline {chapter}{\numberline {11}Supplementary Commands}{107}{chapter.11}
-\contentsline {section}{\numberline {11.1}{\tt matchit}: Create matched data}{107}{section.11.1}
-\contentsline {subsubsection}{Description}{107}{section*.83}
-\contentsline {subsubsection}{Syntax}{107}{section*.84}
-\contentsline {subsubsection}{Arguments}{107}{section*.85}
-\contentsline {paragraph}{Arguments for All Matching Methods}{107}{section*.86}
-\contentsline {paragraph}{Additional Arguments for Specification of Distance Measures}{108}{section*.87}
-\contentsline {paragraph}{Additional Arguments for Subclassification}{110}{section*.88}
-\contentsline {paragraph}{Additional Arguments for Nearest Neighbor Matching}{110}{section*.89}
-\contentsline {paragraph}{Additional Arguments for Optimal Matching}{111}{section*.90}
-\contentsline {paragraph}{Additional Arguments for Full Matching}{111}{section*.91}
-\contentsline {paragraph}{Additional Arguments for Genetic Matching}{111}{section*.92}
-\contentsline {subsubsection}{Output Values}{112}{section*.93}
-\contentsline {subsubsection}{Contributors}{113}{section*.94}
-\contentsline {section}{\numberline {11.2}{\tt mi}: Create a list of multiply imputed data frames}{115}{section.11.2}
-\contentsline {subsubsection}{Description}{115}{section*.95}
-\contentsline {subsubsection}{Syntax}{115}{section*.96}
-\contentsline {subsubsection}{Arguments}{115}{section*.97}
-\contentsline {subsubsection}{Output Values}{115}{section*.98}
-\contentsline {subsubsection}{See Also}{115}{section*.99}
-\contentsline {subsubsection}{Contributors}{115}{section*.100}
-\contentsline {subsection}{\numberline {11.2.1} \texttt {network}: Format Individual Matricies into a Data Frame for Social Network Analysis }{116}{subsection.11.2.1}
-\contentsline {subsubsection}{Description}{116}{section*.101}
-\contentsline {subsubsection}{Usage}{116}{section*.102}
-\contentsline {subsubsection}{Arguments}{116}{section*.103}
-\contentsline {subsubsection}{Details}{116}{section*.104}
-\contentsline {subsubsection}{Example}{116}{section*.105}
-\contentsline {subsubsection}{Contributors}{116}{section*.106}
-\contentsline {section}{\numberline {11.3}{\tt plot.ci}: Plotting Vertical confidence Intervals}{117}{section.11.3}
-\contentsline {subsubsection}{Description}{117}{section*.107}
-\contentsline {subsubsection}{Syntax}{117}{section*.108}
-\contentsline {subsubsection}{Arguments}{117}{section*.109}
-\contentsline {subsubsection}{Output Values}{117}{section*.110}
-\contentsline {subsubsection}{Example}{117}{section*.111}
-\contentsline {subsubsection}{See Also}{118}{section*.112}
-\contentsline {subsubsection}{Contributors}{118}{section*.113}
-\contentsline {section}{\numberline {11.4}{\tt rocplot}: Receiver Operator Characteristic Plots}{119}{section.11.4}
-\contentsline {subsubsection}{Description}{119}{section*.114}
-\contentsline {subsubsection}{Syntax}{119}{section*.115}
-\contentsline {subsubsection}{Arguments}{119}{section*.116}
-\contentsline {subsubsection}{Output Values}{120}{section*.117}
-\contentsline {subsubsection}{Example}{120}{section*.118}
-\contentsline {subsubsection}{See Also}{120}{section*.119}
-\contentsline {subsubsection}{Contributors}{120}{section*.120}
-\contentsline {section}{\numberline {11.5}{\tt ternaryplot}: Ternary Diagram for 3D Data}{121}{section.11.5}
-\contentsline {subsubsection}{Description}{121}{section*.121}
-\contentsline {subsubsection}{Syntax}{121}{section*.122}
-\contentsline {subsubsection}{Arguments}{121}{section*.123}
-\contentsline {subsubsection}{Examples}{122}{section*.124}
-\contentsline {subsubsection}{See Also}{122}{section*.125}
-\contentsline {subsubsection}{Contributors}{122}{section*.126}
-\contentsline {section}{\numberline {11.6}{\tt ternarypoints}: Adding Points to Ternary Diagrams}{123}{section.11.6}
-\contentsline {subsubsection}{Description}{123}{section*.127}
-\contentsline {subsubsection}{Syntax}{123}{section*.128}
-\contentsline {subsubsection}{Arguments}{123}{section*.129}
-\contentsline {subsubsection}{Output Values}{123}{section*.130}
-\contentsline {subsubsection}{Examples}{123}{section*.131}
-\contentsline {subsubsection}{See Also}{123}{section*.132}
-\contentsline {subsubsection}{Contributors}{123}{section*.133}
-\contentsline {chapter}{\numberline {12}Models Zelig Can Run}{124}{chapter.12}
-\contentsline {section}{\numberline {12.1}{\tt ARIMA} : ARIMA Models for Time Series Data}{126}{section.12.1}
-\contentsline {section}{\numberline {12.2}{\tt blogit}: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{132}{section.12.2}
-\contentsline {subsubsection}{Syntax}{132}{section*.143}
-\contentsline {subsubsection}{Input Values}{132}{section*.144}
-\contentsline {subsubsection}{Examples}{132}{section*.145}
-\contentsline {subsubsection}{Model}{134}{section*.146}
-\contentsline {subsubsection}{Quantities of Interest}{135}{section*.147}
-\contentsline {subsubsection}{Output Values}{136}{section*.148}
-\contentsline {subsubsection}{Contributors}{137}{section*.149}
-\contentsline {section}{\numberline {12.3}{\tt bprobit}: Bivariate Probit Regression for Two Dichotomous Dependent Variables}{138}{section.12.3}
-\contentsline {subsubsection}{Syntax}{138}{section*.150}
-\contentsline {subsubsection}{Input Values}{138}{section*.151}
-\contentsline {subsubsection}{Examples}{139}{section*.152}
-\contentsline {subsubsection}{Model}{140}{section*.153}
-\contentsline {subsubsection}{Quantities of Interest}{141}{section*.154}
-\contentsline {subsubsection}{Output Values}{142}{section*.155}
-\contentsline {subsubsection}{Contributors}{143}{section*.156}
-\contentsline {section}{\numberline {12.4}\texttt {ei.dynamic}: Quinn's Dynamic Ecological Inference Model}{145}{section.12.4}
-\contentsline {subsubsection}{Syntax}{145}{section*.157}
-\contentsline {subsubsection}{Inputs}{145}{section*.158}
-\contentsline {subsubsection}{Additional Inputs}{145}{section*.159}
-\contentsline {subsubsection}{Convergence}{146}{section*.160}
-\contentsline {subsubsection}{Examples}{147}{section*.161}
-\contentsline {subsubsection}{Model}{148}{section*.162}
-\contentsline {subsubsection}{Output Values}{149}{section*.163}
-\contentsline {subsubsection}{Contributors}{150}{section*.164}
-\contentsline {section}{\numberline {12.5}\texttt {ei.hier}: Hierarchical Ecological Inference Model for $2 \times 2$ Tables}{151}{section.12.5}
-\contentsline {subsubsection}{Syntax}{151}{section*.165}
-\contentsline {subsubsection}{Inputs}{151}{section*.166}
-\contentsline {subsubsection}{Additional Inputs}{151}{section*.167}
-\contentsline {subsubsection}{Convergence}{152}{section*.168}
-\contentsline {subsubsection}{Examples}{153}{section*.169}
-\contentsline {subsubsection}{Model}{154}{section*.170}
-\contentsline {subsubsection}{Output Values}{155}{section*.171}
-\contentsline {subsubsection}{Contributors}{156}{section*.172}
-\contentsline {section}{\numberline {12.6}\texttt {ei.RxC}: Hierarchical Multinomial-Dirichlet Ecological Inference Model for $R \times C$ Tables}{157}{section.12.6}
-\contentsline {subsubsection}{Syntax}{157}{section*.173}
-\contentsline {subsubsection}{Inputs}{157}{section*.174}
-\contentsline {subsubsection}{Examples}{157}{section*.175}
-\contentsline {subsubsection}{Model}{159}{section*.176}
-\contentsline {subsubsection}{Output Values}{160}{section*.177}
-\contentsline {subsubsection}{Contributors}{160}{section*.178}
-\contentsline {section}{\numberline {12.7}{\tt exp}: Exponential Regression for Duration Dependent Variables}{161}{section.12.7}
-\contentsline {subsubsection}{Syntax}{161}{section*.179}
-\contentsline {subsubsection}{Input Values}{161}{section*.180}
-\contentsline {subsubsection}{Example}{162}{section*.181}
-\contentsline {subsubsection}{Model}{162}{section*.182}
-\contentsline {subsubsection}{Quantities of Interest}{163}{section*.183}
-\contentsline {subsubsection}{Output Values}{164}{section*.184}
-\contentsline {subsubsection}{Contributors}{165}{section*.185}
-\contentsline {section}{\numberline {12.8}\texttt {factor.bayes}: Bayesian Factor Analysis}{166}{section.12.8}
-\contentsline {subsubsection}{Syntax}{166}{section*.186}
-\contentsline {subsubsection}{Inputs}{166}{section*.187}
-\contentsline {subsubsection}{Additional Inputs}{166}{section*.188}
-\contentsline {subsubsection}{Convergence}{168}{section*.189}
-\contentsline {subsubsection}{Examples}{168}{section*.190}
-\contentsline {subsubsection}{Model}{169}{section*.191}
-\contentsline {subsubsection}{Output Values}{170}{section*.192}
-\contentsline {subsubsection}{Contributors}{170}{section*.193}
-\contentsline {section}{\numberline {12.9}\texttt {factor.mix}: Mixed Data Factor Analysis}{171}{section.12.9}
-\contentsline {subsubsection}{Syntax}{171}{section*.194}
-\contentsline {subsubsection}{Inputs}{171}{section*.195}
-\contentsline {subsubsection}{Additional Inputs}{171}{section*.196}
-\contentsline {subsubsection}{Convergence}{173}{section*.197}
-\contentsline {subsubsection}{Examples}{174}{section*.198}
-\contentsline {subsubsection}{Model}{174}{section*.199}
-\contentsline {subsubsection}{Output Values}{175}{section*.200}
-\contentsline {subsubsection}{Contributors}{176}{section*.201}
-\contentsline {section}{\numberline {12.10}\texttt {factor.ord}: Ordinal Data Factor Analysis}{177}{section.12.10}
-\contentsline {subsubsection}{Syntax}{177}{section*.202}
-\contentsline {subsubsection}{Inputs}{177}{section*.203}
-\contentsline {subsubsection}{Additional Inputs}{177}{section*.204}
-\contentsline {subsubsection}{Convergence}{179}{section*.205}
-\contentsline {subsubsection}{Examples}{179}{section*.206}
-\contentsline {subsubsection}{Model}{180}{section*.207}
-\contentsline {subsubsection}{Output Values}{181}{section*.208}
-\contentsline {subsubsection}{Contributors}{181}{section*.209}
-\contentsline {section}{\numberline {12.11}{\tt gamma}: Gamma Regression for Continuous, Positive Dependent Variables}{182}{section.12.11}
-\contentsline {subsubsection}{Syntax}{182}{section*.210}
-\contentsline {subsubsection}{Additional Inputs}{182}{section*.211}
-\contentsline {subsubsection}{Example}{182}{section*.212}
-\contentsline {subsubsection}{Model}{183}{section*.213}
-\contentsline {subsubsection}{Quantities of Interest}{183}{section*.214}
-\contentsline {subsubsection}{Output Values}{184}{section*.215}
-\contentsline {subsubsection}{Contributors}{185}{section*.216}
-\contentsline {section}{\numberline {12.12}\texttt {irt1d}: One Dimensional Item Response Model}{187}{section.12.12}
-\contentsline {subsubsection}{Syntax}{187}{section*.217}
-\contentsline {subsubsection}{Inputs}{187}{section*.218}
-\contentsline {subsubsection}{Additional arguments}{187}{section*.219}
-\contentsline {subsubsection}{Convergence}{189}{section*.220}
-\contentsline {subsubsection}{Examples}{189}{section*.221}
-\contentsline {subsubsection}{Model}{190}{section*.222}
-\contentsline {subsubsection}{Output Values}{191}{section*.223}
-\contentsline {subsubsection}{Contributors}{191}{section*.224}
-\contentsline {section}{\numberline {12.13}\texttt {irtkd}: $k$-Dimensional Item Response Theory Model}{192}{section.12.13}
-\contentsline {subsubsection}{Syntax}{192}{section*.225}
-\contentsline {subsubsection}{Inputs}{192}{section*.226}
-\contentsline {subsubsection}{Additional arguments}{192}{section*.227}
-\contentsline {subsubsection}{Convergence}{194}{section*.228}
-\contentsline {subsubsection}{Examples}{194}{section*.229}
-\contentsline {subsubsection}{Model}{195}{section*.230}
-\contentsline {subsubsection}{Output Values}{196}{section*.231}
-\contentsline {subsubsection}{Contributors}{196}{section*.232}
-\contentsline {section}{\numberline {12.14}{\tt logit}: Logistic Regression for Dichotomous Dependent Variables}{197}{section.12.14}
-\contentsline {subsubsection}{Syntax}{197}{section*.233}
-\contentsline {subsubsection}{Additional Inputs}{197}{section*.234}
-\contentsline {subsubsection}{Examples}{197}{section*.235}
-\contentsline {subsubsection}{Model}{199}{section*.236}
-\contentsline {subsubsection}{Quantities of Interest}{199}{section*.237}
-\contentsline {subsubsection}{Output Values}{200}{section*.238}
-\contentsline {subsubsection}{Contributors}{201}{section*.239}
-\contentsline {section}{\numberline {12.15}\texttt {logit.bayes}: Bayesian Logistic Regression}{202}{section.12.15}
-\contentsline {subsubsection}{Syntax}{202}{section*.240}
-\contentsline {subsubsection}{Additional Inputs}{202}{section*.241}
-\contentsline {subsubsection}{Convergence}{203}{section*.242}
-\contentsline {subsubsection}{Examples}{203}{section*.243}
-\contentsline {subsubsection}{Model}{204}{section*.244}
-\contentsline {subsubsection}{Quantities of Interest}{205}{section*.245}
-\contentsline {subsubsection}{Output Values}{205}{section*.246}
-\contentsline {subsubsection}{Contributors}{206}{section*.247}
-\contentsline {section}{\numberline {12.16}{\tt lognorm}: Log-Normal Regression for Duration Dependent Variables}{207}{section.12.16}
-\contentsline {subsubsection}{Syntax}{207}{section*.248}
-\contentsline {subsubsection}{Input Values}{207}{section*.249}
-\contentsline {subsubsection}{Example}{208}{section*.250}
-\contentsline {subsubsection}{Model}{208}{section*.251}
-\contentsline {subsubsection}{Quantities of Interest}{209}{section*.252}
-\contentsline {subsubsection}{Output Values}{210}{section*.253}
-\contentsline {subsubsection}{Contributors}{211}{section*.254}
-\contentsline {section}{\numberline {12.17}{\tt ls}: Least Squares Regression for Continuous Dependent Variables}{212}{section.12.17}
-\contentsline {subsubsection}{Syntax}{212}{section*.255}
-\contentsline {subsubsection}{Additional Inputs}{212}{section*.256}
-\contentsline {subsubsection}{Examples}{212}{section*.257}
-\contentsline {subsubsection}{Model}{214}{section*.258}
-\contentsline {subsubsection}{Quantities of Interest}{214}{section*.259}
-\contentsline {subsubsection}{Output Values}{214}{section*.260}
-\contentsline {subsubsection}{Contributors}{215}{section*.261}
-\contentsline {section}{\numberline {12.18}{\tt mlogit}: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values}{217}{section.12.18}
-\contentsline {subsubsection}{Syntax}{217}{section*.262}
-\contentsline {subsubsection}{Input Values}{217}{section*.263}
-\contentsline {subsubsection}{Examples}{217}{section*.264}
-\contentsline {subsubsection}{Model}{219}{section*.265}
-\contentsline {subsubsection}{Quantities of Interest}{219}{section*.266}
-\contentsline {subsubsection}{Output Values}{220}{section*.267}
-\contentsline {subsubsection}{Further Information}{221}{section*.268}
-\contentsline {section}{\numberline {12.19}\texttt {mlogit.bayes}: Bayesian Multinomial Logistic Regression}{222}{section.12.19}
-\contentsline {subsubsection}{Syntax}{222}{section*.269}
-\contentsline {subsubsection}{Additional Inputs}{222}{section*.270}
-\contentsline {subsubsection}{Convergence}{223}{section*.271}
-\contentsline {subsubsection}{Examples}{224}{section*.272}
-\contentsline {subsubsection}{Model}{225}{section*.273}
-\contentsline {subsubsection}{Quantities of Interest}{225}{section*.274}
-\contentsline {subsubsection}{Output Values}{226}{section*.275}
-\contentsline {subsubsection}{Contributors}{227}{section*.276}
-\contentsline {section}{\numberline {12.20}{\tt negbin}: Negative Binomial Regression for Event Count Dependent Variables}{228}{section.12.20}
-\contentsline {subsubsection}{Syntax}{228}{section*.277}
-\contentsline {subsubsection}{Additional Inputs}{228}{section*.278}
-\contentsline {subsubsection}{Example}{228}{section*.279}
-\contentsline {subsubsection}{Model}{229}{section*.280}
-\contentsline {subsubsection}{Quantities of Interest}{230}{section*.281}
-\contentsline {subsubsection}{Output Values}{230}{section*.282}
-\contentsline {subsubsection}{Contributors}{232}{section*.283}
-\contentsline {section}{\numberline {12.21}{\tt netls}: Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables}{233}{section.12.21}
-\contentsline {subsubsection}{Syntax}{233}{section*.284}
-\contentsline {subsubsection}{Examples}{233}{section*.285}
-\contentsline {subsubsection}{Model}{234}{section*.286}
-\contentsline {subsubsection}{Quantities of Interest}{234}{section*.287}
-\contentsline {subsubsection}{Output Values}{234}{section*.288}
-\contentsline {subsubsection}{Contributors}{235}{section*.289}
-\contentsline {section}{\numberline {12.22}{\tt netlogit}: Network Logistic Regression for Dichotomous Proximity Matrix Dependent Variables}{236}{section.12.22}
-\contentsline {subsubsection}{Syntax}{236}{section*.290}
-\contentsline {subsubsection}{Examples}{236}{section*.291}
-\contentsline {subsubsection}{Model}{237}{section*.292}
-\contentsline {subsubsection}{Quantities of Interest}{237}{section*.293}
-\contentsline {subsubsection}{Output Values}{238}{section*.294}
-\contentsline {subsubsection}{Contributors}{239}{section*.295}
-\contentsline {section}{\numberline {12.23}{\tt normal}: Normal Regression for Continuous Dependent Variables}{240}{section.12.23}
-\contentsline {subsubsection}{Syntax}{240}{section*.296}
-\contentsline {subsubsection}{Additional Inputs}{240}{section*.297}
-\contentsline {subsubsection}{Examples}{240}{section*.298}
-\contentsline {subsubsection}{Model}{242}{section*.299}
-\contentsline {subsubsection}{Quantities of Interest}{242}{section*.300}
-\contentsline {subsubsection}{Output Values}{243}{section*.301}
-\contentsline {subsubsection}{Contributors}{244}{section*.302}
-\contentsline {section}{\numberline {12.24}\texttt {normal.bayes}: Bayesian Normal Linear Regression}{245}{section.12.24}
-\contentsline {subsubsection}{Syntax}{245}{section*.303}
-\contentsline {subsubsection}{Additional Inputs}{245}{section*.304}
-\contentsline {subsubsection}{Convergence}{246}{section*.305}
-\contentsline {subsubsection}{Examples}{246}{section*.306}
-\contentsline {subsubsection}{Model}{247}{section*.307}
-\contentsline {subsubsection}{Quantities of Interest}{248}{section*.308}
-\contentsline {subsubsection}{Output Values}{249}{section*.309}
-\contentsline {subsubsection}{Contributors}{249}{section*.310}
-\contentsline {section}{\numberline {12.25}{\tt ologit}: Ordinal Logistic Regression for Ordered Categorical Dependent Variables}{250}{section.12.25}
-\contentsline {subsubsection}{Syntax}{250}{section*.311}
-\contentsline {subsubsection}{Example}{250}{section*.312}
-\contentsline {subsubsection}{Model}{251}{section*.313}
-\contentsline {subsubsection}{Quantities of Interest}{252}{section*.314}
-\contentsline {subsubsection}{Output Values}{252}{section*.315}
-\contentsline {subsubsection}{Contributors}{253}{section*.316}
-\contentsline {section}{\numberline {12.26}{\tt oprobit}: Ordinal Probit Regression for Ordered Categorical Dependent Variables}{255}{section.12.26}
-\contentsline {subsubsection}{Syntax}{255}{section*.317}
-\contentsline {subsubsection}{Example}{255}{section*.318}
-\contentsline {subsubsection}{Model}{256}{section*.319}
-\contentsline {subsubsection}{Quantities of Interest}{257}{section*.320}
-\contentsline {subsubsection}{Output Values}{258}{section*.321}
-\contentsline {subsubsection}{Contributors}{259}{section*.322}
-\contentsline {section}{\numberline {12.27}\texttt {oprobit.bayes}: Bayesian Ordered Probit Regression}{260}{section.12.27}
-\contentsline {subsubsection}{Syntax}{260}{section*.323}
-\contentsline {subsubsection}{Additional Inputs}{260}{section*.324}
-\contentsline {subsubsection}{Convergence}{261}{section*.325}
-\contentsline {subsubsection}{Examples}{261}{section*.326}
-\contentsline {subsubsection}{Model}{262}{section*.327}
-\contentsline {subsubsection}{Quantities of Interest}{263}{section*.328}
-\contentsline {subsubsection}{Output Values}{264}{section*.329}
-\contentsline {subsubsection}{Contributors}{265}{section*.330}
-\contentsline {section}{\numberline {12.28}{\tt poisson}: Poisson Regression for Event Count Dependent Variables}{266}{section.12.28}
-\contentsline {subsubsection}{Syntax}{266}{section*.331}
-\contentsline {subsubsection}{Additional Inputs}{266}{section*.332}
-\contentsline {subsubsection}{Example}{266}{section*.333}
-\contentsline {subsubsection}{Model}{267}{section*.334}
-\contentsline {subsubsection}{Quantities of Interest}{267}{section*.335}
-\contentsline {subsubsection}{Output Values}{268}{section*.336}
-\contentsline {subsubsection}{Contributors}{269}{section*.337}
-\contentsline {section}{\numberline {12.29}\texttt {poisson.bayes}: Bayesian Poisson Regression}{270}{section.12.29}
-\contentsline {subsubsection}{Syntax}{270}{section*.338}
-\contentsline {subsubsection}{Additional Inputs}{270}{section*.339}
-\contentsline {subsubsection}{Convergence}{271}{section*.340}
-\contentsline {subsubsection}{Examples}{271}{section*.341}
-\contentsline {subsubsection}{Model}{272}{section*.342}
-\contentsline {subsubsection}{Quantities of Interest}{273}{section*.343}
-\contentsline {subsubsection}{Output Values}{273}{section*.344}
-\contentsline {subsubsection}{Contributors}{274}{section*.345}
-\contentsline {section}{\numberline {12.30}{\tt probit}: Probit Regression for Dichotomous Dependent Variables}{275}{section.12.30}
-\contentsline {subsubsection}{Syntax}{275}{section*.346}
-\contentsline {subsubsection}{Additional Inputs}{275}{section*.347}
-\contentsline {subsubsection}{Examples}{275}{section*.348}
-\contentsline {subsubsection}{Model}{276}{section*.349}
-\contentsline {subsubsection}{Quantities of Interest}{276}{section*.350}
-\contentsline {subsubsection}{Output Values}{277}{section*.351}
-\contentsline {subsubsection}{Contributors}{278}{section*.352}
-\contentsline {section}{\numberline {12.31}\texttt {probit.bayes}: Bayesian Probit Regression}{280}{section.12.31}
-\contentsline {subsubsection}{Syntax}{280}{section*.353}
-\contentsline {subsubsection}{Additional Inputs}{280}{section*.354}
-\contentsline {subsubsection}{Convergence}{281}{section*.355}
-\contentsline {subsubsection}{Examples}{281}{section*.356}
-\contentsline {subsubsection}{Model}{282}{section*.357}
-\contentsline {subsubsection}{Quantities of Interest}{283}{section*.358}
-\contentsline {subsubsection}{Output Values}{283}{section*.359}
-\contentsline {subsubsection}{Contributors}{284}{section*.360}
-\contentsline {section}{\numberline {12.32}{\tt relogit}: Rare Events Logistic Regression for Dichotomous Dependent Variables}{285}{section.12.32}
-\contentsline {subsubsection}{Syntax}{285}{section*.361}
-\contentsline {subsubsection}{Arguments}{285}{section*.362}
-\contentsline {subsubsection}{Model}{288}{section*.366}
-\contentsline {subsubsection}{Quantities of Interest}{289}{section*.367}
-\contentsline {subsubsection}{Output Values}{290}{section*.368}
-\contentsline {subsubsection}{Differences with Stata Version}{291}{section*.369}
-\contentsline {subsubsection}{Contributors}{292}{section*.370}
-\contentsline {section}{\numberline {12.33}\texttt {tobit}: Linear Regression for a Left-Censored Dependent Variable}{293}{section.12.33}
-\contentsline {subsubsection}{Syntax}{293}{section*.371}
-\contentsline {subsubsection}{Inputs}{293}{section*.372}
-\contentsline {subsubsection}{Examples}{294}{section*.373}
-\contentsline {subsubsection}{Model}{294}{section*.374}
-\contentsline {subsubsection}{Quantities of Interest}{295}{section*.375}
-\contentsline {subsubsection}{Output Values}{295}{section*.376}
-\contentsline {subsubsection}{Contributors}{296}{section*.377}
-\contentsline {section}{\numberline {12.34}\texttt {tobit.bayes}: Bayesian Linear Regression for a Censored Dependent Variable}{297}{section.12.34}
-\contentsline {subsubsection}{Syntax}{297}{section*.378}
-\contentsline {subsubsection}{Inputs}{297}{section*.379}
-\contentsline {subsubsection}{Additional Inputs}{297}{section*.380}
-\contentsline {subsubsection}{Convergence}{298}{section*.381}
-\contentsline {subsubsection}{Examples}{299}{section*.382}
-\contentsline {subsubsection}{Model}{300}{section*.383}
-\contentsline {subsubsection}{Quantities of Interest}{300}{section*.384}
-\contentsline {subsubsection}{Output Values}{301}{section*.385}
-\contentsline {subsubsection}{Contributors}{302}{section*.386}
-\contentsline {section}{\numberline {12.35}{\tt weibull}: Weibull Regression for Duration Dependent Variables}{303}{section.12.35}
-\contentsline {subsubsection}{Syntax}{303}{section*.387}
-\contentsline {subsubsection}{Input Values}{303}{section*.388}
-\contentsline {subsubsection}{Example}{304}{section*.389}
-\contentsline {subsubsection}{Model}{304}{section*.390}
-\contentsline {subsubsection}{Quantities of Interest}{305}{section*.391}
-\contentsline {subsubsection}{Output Values}{306}{section*.392}
-\contentsline {subsubsection}{Contributors}{307}{section*.393}
-\contentsline {chapter}{\numberline {13}Commands for Programmers and Contributors}{308}{chapter.13}
-\contentsline {section}{\numberline {13.1}{\tt describe}: Describe a model's systematic and stochastic parameters}{308}{section.13.1}
-\contentsline {subsubsection}{Description}{308}{section*.394}
-\contentsline {subsubsection}{Syntax}{308}{section*.395}
-\contentsline {subsubsection}{Arguments}{308}{section*.396}
-\contentsline {subsubsection}{Output Values}{308}{section*.397}
-\contentsline {subsubsection}{Examples}{310}{section*.398}
-\contentsline {subsubsection}{See Also}{312}{section*.399}
-\contentsline {subsubsection}{Contributors}{312}{section*.400}
-\contentsline {section}{\numberline {13.2}{\tt model.end}: Cleaning up after optimization}{313}{section.13.2}
-\contentsline {subsubsection}{Description}{313}{section*.401}
-\contentsline {subsubsection}{Syntax}{313}{section*.402}
-\contentsline {subsubsection}{Arguments}{313}{section*.403}
-\contentsline {subsubsection}{Output Values}{313}{section*.404}
-\contentsline {subsubsection}{See Also}{313}{section*.405}
-\contentsline {subsubsection}{Contributors}{313}{section*.406}
-\contentsline {section}{\numberline {13.3}{\tt model.frame.multiple}: Extracting the ``environment'' of a model formula}{314}{section.13.3}
-\contentsline {subsubsection}{Description}{314}{section*.407}
-\contentsline {subsubsection}{Syntax}{314}{section*.408}
-\contentsline {subsubsection}{Arguments}{314}{section*.409}
-\contentsline {subsubsection}{Output Values}{314}{section*.410}
-\contentsline {subsubsection}{Examples}{314}{section*.411}
-\contentsline {subsubsection}{See Also}{315}{section*.412}
-\contentsline {subsubsection}{Contributors}{315}{section*.413}
-\contentsline {section}{\numberline {13.4}{\tt model.matrix.multiple}: Design matrix for multivariate models}{316}{section.13.4}
-\contentsline {subsubsection}{Description}{316}{section*.414}
-\contentsline {subsubsection}{Syntax}{316}{section*.415}
-\contentsline {subsubsection}{Arguments}{316}{section*.416}
-\contentsline {subsubsection}{Output Values}{316}{section*.417}
-\contentsline {subsubsection}{Examples}{317}{section*.418}
-\contentsline {subsubsection}{See Also}{317}{section*.419}
-\contentsline {subsubsection}{Contributors}{317}{section*.420}
-\contentsline {section}{\numberline {13.5}{\tt parse.formula}: Parsing the inputs}{318}{section.13.5}
-\contentsline {subsubsection}{Description}{318}{section*.421}
-\contentsline {subsubsection}{Syntax}{318}{section*.422}
-\contentsline {subsubsection}{Arguments}{318}{section*.423}
-\contentsline {subsubsection}{Output Values}{318}{section*.424}
-\contentsline {subsubsection}{Examples}{318}{section*.425}
-\contentsline {subsubsection}{See Also}{318}{section*.426}
-\contentsline {subsubsection}{Contributors}{319}{section*.427}
-\contentsline {section}{\numberline {13.6}{\tt parse.par}: Select and reshape parameter vectors}{321}{section.13.6}
-\contentsline {subsubsection}{Description}{321}{section*.428}
-\contentsline {subsubsection}{Syntax}{321}{section*.429}
-\contentsline {subsubsection}{Arguments}{321}{section*.430}
-\contentsline {subsubsection}{Output Values}{321}{section*.431}
-\contentsline {subsubsection}{Examples}{321}{section*.432}
-\contentsline {subsubsection}{See Also}{322}{section*.433}
-\contentsline {subsubsection}{Contributors}{322}{section*.434}
-\contentsline {section}{\numberline {13.7}{\tt put.start}: Set specific starting values for certain parameters}{323}{section.13.7}
-\contentsline {subsubsection}{Description}{323}{section*.435}
-\contentsline {subsubsection}{Syntax}{323}{section*.436}
-\contentsline {subsubsection}{Arguments}{323}{section*.437}
-\contentsline {subsubsection}{Output Values}{323}{section*.438}
-\contentsline {subsubsection}{See Also}{323}{section*.439}
-\contentsline {subsubsection}{Contributors}{323}{section*.440}
-\contentsline {section}{\numberline {13.8}{\tt set.start}: Set starting values for all parameters}{324}{section.13.8}
-\contentsline {subsubsection}{Description}{324}{section*.441}
-\contentsline {subsubsection}{Syntax}{324}{section*.442}
-\contentsline {subsubsection}{Arguments}{324}{section*.443}
-\contentsline {subsubsection}{Output Values}{324}{section*.444}
-\contentsline {subsubsection}{Example}{324}{section*.445}
-\contentsline {subsubsection}{See Also}{324}{section*.446}
-\contentsline {subsubsection}{Contributors}{324}{section*.447}
-\contentsline {section}{\numberline {13.9}{\tt tag}: Constrain parameter effects across equations}{325}{section.13.9}
-\contentsline {subsubsection}{Description}{325}{section*.448}
-\contentsline {subsubsection}{Syntax}{325}{section*.449}
-\contentsline {subsubsection}{Arguments}{325}{section*.450}
-\contentsline {subsubsection}{Output Values}{325}{section*.451}
-\contentsline {subsubsection}{Examples}{325}{section*.452}
-\contentsline {subsubsection}{See Also}{325}{section*.453}
-\contentsline {subsubsection}{Contributors}{325}{section*.454}
-\contentsline {part}{IV\hspace {1em}Appendices}{326}{part.4}
-\contentsline {chapter}{\numberline {A}Frequently Asked Questions}{327}{appendix.A}
-\contentsline {section}{\numberline {A.1}For All Zelig Users}{327}{section.A.1}
-\contentsline {section}{\numberline {A.2}For Zelig Contributors}{331}{section.A.2}
-\contentsline {chapter}{\numberline {B}What's New? What's Next?}{333}{appendix.B}
-\contentsline {section}{\numberline {B.1}What's New: Zelig Release Notes}{333}{section.B.1}
-\contentsline {section}{\numberline {B.2}What's Next?}{339}{section.B.2}
diff --git a/inst/doc/zinput.tex b/inst/doc/zinput.tex
new file mode 100644
index 0000000..00f140f
--- /dev/null
+++ b/inst/doc/zinput.tex
@@ -0,0 +1,38 @@
+\documentclass[oneside,letterpaper,12pt]{book}
+%\usepackage[ae,hyper]{Rd}
+\usepackage{bibentry}
+\usepackage{upquote}
+\usepackage{graphicx}
+\usepackage{natbib}
+\usepackage[reqno]{amsmath}
+\usepackage{amssymb}
+\usepackage{amsfonts}
+\usepackage{amsmath}
+\usepackage{verbatim}
+\usepackage{epsf}
+\usepackage{url}
+\usepackage{html}
+\usepackage{dcolumn}
+\usepackage{multirow}
+\usepackage{fullpage}
+\usepackage{lscape}
+\usepackage[all]{xy}
+% \usepackage[pdftex, bookmarksopen=true,bookmarksnumbered=true,
+%   linkcolor=webred]{hyperref}
+\bibpunct{(}{)}{;}{a}{}{,}
+\newcolumntype{.}{D{.}{.}{-1}}
+\newcolumntype{d}[1]{D{.}{.}{#1}}
+\htmladdtonavigation{
+  \htmladdnormallink{%
+    \htmladdimg{http://gking.harvard.edu/pics/home.gif}}
+  {http://gking.harvard.edu/}}
+\newcommand{\MatchIt}{{\sc MatchIt}}
+\newcommand{\hlink}{\htmladdnormallink}
+\newcommand{\Sref}[1]{Section~\ref{#1}}
+\newcommand{\fullrvers}{2.4.1}
+\newcommand{\rvers}{2.4}
+\newcommand{\rwvers}{R-2.4.1}
+%\renewcommand{\bibentry}{\citealt}
+
+\bodytext{ BACKGROUND="http://gking.harvard.edu/pics/temple.jpg"}
+\setcounter{tocdepth}{2}
diff --git a/inst/unitTests/runit.multiple.R b/inst/unitTests/runit.multiple.R
index d15d9f9..9f87cdf 100644
--- a/inst/unitTests/runit.multiple.R
+++ b/inst/unitTests/runit.multiple.R
@@ -83,8 +83,8 @@ test.terms.multiple<-function(){
                 fml<-listMI[[i]]
                 objname <- paste("fml",i,sep="")
                 this.terms <- Zelig:::terms.multiple(fml)
-                ##parsed[[objname]]<-this.terms
-                ##save(parsed,file="test.terms.multiple.RData" )
+                ####parsed[[objname]]<-this.terms
+                ####save(parsed,file="test.terms.multiple.RData" )
                 load("test.terms.multiple.RData")
                 checkEquals(this.terms,parsed[[objname]])
         }
diff --git a/inst/zideal/zideal.RData b/inst/zideal/zideal.RData
index 66af9c9..5f5c75e 100644
Binary files a/inst/zideal/zideal.RData and b/inst/zideal/zideal.RData differ
diff --git a/inst/zideal/zvcServer.R b/inst/zideal/zvcServer.R
index 04256ed..ee23686 100644
--- a/inst/zideal/zvcServer.R
+++ b/inst/zideal/zvcServer.R
@@ -1,3 +1,4 @@
+
 ### DESCRIPTION: Reads all functions describe.#.R that are part of
 ###              Zelig package and gets all direct dependencies of Zelig
 ###              packages names and url's to installed them
@@ -1287,3 +1288,9 @@ return(res)
 ### > dim(zmatnull)= 50  6
 ### > dim(zmathigh)= 9 6
 ### > dim(zmatNA) = 38  6
+
+
+## file is soruced when R CMD build Zelig
+
+zideal <- create.zelig.all.packages("Zelig")
+save(zideal, file="inst/zideal/zideal.RData")
diff --git a/tests/check.describe.R b/tests/check.describe.R
index 9198026..eee6b26 100644
--- a/tests/check.describe.R
+++ b/tests/check.describe.R
@@ -64,8 +64,8 @@ zeligListModels<-function() {
 
         ## describe function for this models does not exists
         ## just for testing purpuses i'm excluding them. <FIXME> urgent
-        #nonexist <- c("arima","beta", "ei.dynamic","ei.hier","ei.RxC","mloglm","netlogit","netls")
-        #setdiff(sub("zelig2","", tmp),nonexist)
+        nonexist <- c("arima","beta", "ei.dynamic","ei.hier","ei.RxC","mloglm","netlogit","netls")
+        setdiff(sub("zelig2","", tmp),nonexist)
 }
 
 ###

-- 
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-science/packages/r-cran-zelig.git



More information about the debian-science-commits mailing list