Hello, You can do that like in the example included in the function step()
lm1 <- lm(Fertility ~ ., data = swiss) But my advise is that prior to doing that, you should check this old thread in this list: http://tolstoy.newcastle.edu.au/R/e4/help/08/02/2842.html Regards, Carlos Ortega www.qualityexcellence.es On Mon, Apr 4, 2011 at 8:58 AM, Rosario Garcia Gil <m.rosario.gar...@slu.se>wrote: > Hello > > I have a model with several hundred Y variables, and also several 1000 X > variables. The model is linear lm(Y ~ X). My questions are: > > 1.- how to avoid writing all Xs variables? is list() the right function? > > 2.- about the multiple Ys with dependence among some of them, how to > incorporate that information in the linear model? > > Thank you > > Rosario > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
