Hi
I had to use a glm instead of my basic lm on some data due to unconstant
variance.
now, when I plot the model over the data, how can I easily get the 95%
confidence interval that sormally coming from:
> yv <- predict(modelVar,list(aveLength=xv),int="c")
> matlines(xv,yv,lty=c(1,2,2))
There is no "interval" argument to pass to the predict function when using a
glm, so I was wondering if I had to use an other function
thanks
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