Try this: mapply(function(y, x, z)lm(y ~ x + z), as.data.frame(y), as.data.frame(x.a), as.data.frame(x.b), SIMPLIFY = FALSE)
On Thu, Mar 18, 2010 at 8:35 AM, Frederick Ho <cres...@gmail.com> wrote: > Hi everyone, > > I have a response matrix (y) and two predictor matrices (x.a, x.b), how > should i proceed if i want to regress y on x.a and x.b column by column? > > To be specific, what i want to do is: > > y[,1]~x.a[,1]+x.b[,1] > y[,2]~x.a[,2]+x.b[,2] > . > . > . > > I have tried lm(y~x1+x2) but it does not work as R treat that as: > > y[,1]~x.a[,1]+x.a[,2]+...+x.b[,1]+x.b[,2]+... > . > . > . > > Thanks. > > Regards, > Fred > > [[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. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O ______________________________________________ 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.
