Hi Cleland and Dennis, thanks a lot for the answer.
Ashok Varma On Mon, Nov 23, 2009 at 5:05 PM, Chuck Cleland <cclel...@optonline.net>wrote: > On 11/23/2009 1:06 AM, ashok varma wrote: > > hello, > > > > i am fitting a Linear model using R. I have to fit the model considering > all > > the interaction effects of order 1 of the independent variables. But I > have > > 9 variables. So, it will be difficult for me to write all the 36 > > combinations in the model. Can anyone please help how to get this done in > > much smarter way?? > > This will include all main effects and two-way interactions: > > lm(Y ~ (A + B + C + D + E + F + G + H + I)^2, data=mydata) > > > thanks a lot, > > Ashok Varma. > > > > [[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<http://www.r-project.org/posting-guide.html> > > and provide commented, minimal, self-contained, reproducible code. > > -- > Chuck Cleland, Ph.D. > NDRI, Inc. (www.ndri.org) > 71 West 23rd Street, 8th floor > New York, NY 10010 > tel: (212) 845-4495 (Tu, Th) > tel: (732) 512-0171 (M, W, F) > fax: (917) 438-0894 > [[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.
