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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 -- View this message in context: http://r.789695.n4.nabble.com/95-confidence...