"David Barron" <[EMAIL PROTECTED]> writes: > I'm not sure if this will help, but it's worth a try. Do the > regression as I suggested before, extract the model matrix and remove > the "offending" column. I'm assuming you don't know in advance how > many levels there are in the factor. Then use this to perform the > regression. Something like this: > > m1 <- lm(x ~ fd:y + fd) > mm <- model.matrix(m1) > nl <- length(levels(fd)) > newdat <- mm[,-c(1,nl)] > lm(x ~ newdat)
Thanks a lot! With a small change that solved my problem! -- Andreas Gösele Omnis enim res, quae dando non deficit, Inst. f. Gesellschaftspolitik dum habetur et non datur, Kaulbachstr. 31a, 80539 München nondum habetur, quomodo habenda est. E-mail: [EMAIL PROTECTED] (Augustinus) ______________________________________________ R-help@stat.math.ethz.ch 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.
