Yes, it's possible, but if you want to do prediction on future x-values, you will likely have a problem.
One way to do it would be something like (assuming y is the first column of dat) reg <- lm(y ~ log(as.matrix(dat[, -1])), dat) but the output would be pretty ugly (see summary(reg)). Another would be to construct the matrix outside the data frame and do something like X <- log(as.matrix(dat[, -1])) reg <- lm(dat$y ~ X) There may be better ways, though... Dennis On Fri, Jun 17, 2011 at 11:08 PM, Scott Fortmann-Roe <scot...@gmail.com> wrote: > Hi, > > I would like to do a regression like: > > reg <- lm(y~log(.), data) > > where the log function is applied to "." in the form: > > log(x1)+ log(x2)+ log(x3)... > > instead of in the form > > log(x1+x2+x3+...) > > > Is this possible? > > Thank you, > Scott > > [[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. > ______________________________________________ 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.