>> In case you haven't see it, the glm function accepts an optional >> weights argument. >> > > Thanks for the reply. But the philosopy behind weighting is the assumption > of unequal variance in the y values. In normal regression one assumes that > the x values are known without error > > Wendy
Sorry Wendy - I posted my reply prior to engaging my brain (ie. didn't read your question properly). You're talking about Model II / major axis type methods. The smatr package might cater for what you're trying to do. Hope this helps (more). Michael ______________________________________________ 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.
