Hi I'm fairly new to R and am trying to analyse some large spectral datasets using stepwise regression (fairly standard in this area). I have a field sampled dataset, of which a proportion has been held back for validation. I gather than step() needs to be fed a regression model and lm() can produce a multiple regression. I had thought something like:
spectra.lm <- lm(response[,3]~spectra.spec[,2:20]) might work but lm() doesnt appear to like being fed a range of columns. I suspect Ive missed something fairly fundamental here..... Any help much appreciated best wishes mike -- View this message in context: http://www.nabble.com/Getting-lm%28%29-to-work-with-a-matrix-tp23625486p23625486.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
