#------------------------------------------------------------------------------------------#
# Comandos:
#       fit.model = ajuste
#       attach(dados)
#       source("envel_pois.txt")
#       ligacao logaritmica
#------------------------------------------------------------------------------------------#
#par(mfrow=c(1,1))
X =   model.matrix(fit.model)
n =   nrow(X)
p =   ncol(X)
w =   fit.model$weights
W =   diag(w)
H =   solve(t(X)%*%W%*%X)
H =   sqrt(W)%*%X%*%H%*%t(X)%*%sqrt(W)
h =   diag(H)
td =   residuals(fit.model)/sqrt((1-h))
e =   matrix(0,n,100)
#
for(i in 1:100){
nresp =   rpois(n, fitted(fit.model))
fit =   glm(nresp ~ X, family=poisson)
w =   fit$weights
W =   diag(w)
H =   solve(t(X)%*%W%*%X)
H =   sqrt(W)%*%X%*%H%*%t(X)%*%sqrt(W)
h =   diag(H)
e[,i] =   sort(residuals(fit)/sqrt(1-h))}
#
e1 =   numeric(n)
e2 =   numeric(n)
#
for(i in 1:n){
  eo =   sort(e[i,])
e1[i] =   (eo[2]+eo[3])/2
e2[i] =   (eo[97]+eo[98])/2}
#
med =   apply(e,1,mean)
faixa =   range(td,e1,e2)
par(pty="s")
qqnorm(td,xlab="Quantil da N(0,1)",
ylab="Componente do Desvio", ylim=faixa, pch=16, main="",cex=2, cex.lab=1.5, cex.axis=1.5)
par(new=TRUE)
#
qqnorm(e1,axes=FALSE,xlab="",ylab="",type="l",ylim=faixa,lty=1, main="",lwd=2)
par(new=TRUE)
qqnorm(e2,axes=FALSE,xlab="",ylab="", type="l",ylim=faixa,lty=1, main="",lwd=2)
par(new=TRUE)
qqnorm(med,axes=FALSE,xlab="", ylab="", type="l",ylim=faixa,lty=2, main="",lwd=2)
#------------------------------------------------------------------------------------------#