Ahh, yes. The level made all the difference. I originally thought the level only applied to binomial response variables, so I disregarded it. And I'll just add that >plot(e) below still produced an indexed x axis, so I just combined the vectors and then was able to plot the scaled variable properly.
> MyData<-data.frame(BERRIES = seq(from =20, to=3600, by=100)) > e<-predict(m1,MyData,type="response", level=0) > q2<-cbind(MyData,e) > plot(q2$BERRIES,q2$e) Thanks for the fast responses! ~erin Erin Latham, MGIS Candidate Geography Dept, University of Calgary, AB, Canada ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.