The 90,000 indicators are the interactions between 300 zip codes (= postal codes) and 300 month indices. - Roy
On Mon, Mar 22, 2010 at 5:56 AM, Petr PIKAL <petr.pi...@precheza.cz> wrote: > Hi > > r-help-boun...@r-project.org napsal dne 22.03.2010 01:01:00: > > > Hi All: > > > > I am trying to move a model from Stata to R. > > > > It is a linear regression model with about 90,000 indicator variables. > > I was tempted to say > > ?lm > > but I believe that it would end with memory issues. > On the other way how do you want to interpret 90k variables? > > Regards > Petr > > > > > What is the best approach to follow in R? > > > > - Roy > > > > [[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. > > -- Roy Lowrance home: 212 674 9777 mobile: 347 255 2544 [[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.
