See ?save for one way to save models for later re-reading. I don't fully understand your next question, many of the modeling functions have options for saving the data (see ?lm), but can you give an example for your A, B, and C example? Then we will have a better chance of telling you what is happening and what options can change what is happening.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare [EMAIL PROTECTED] 801.408.8111 > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > project.org] On Behalf Of Sharma, Dhruv > Sent: Monday, September 29, 2008 1:52 PM > To: r-help@r-project.org > Subject: [R] persistence of model in R to a file > > Hi, > Is there a way to save R models (glm, lm , rpart etc) in a file > that > be read in later? > > I noticed models take up space. by space them off and removing them > from memory it seems that would be useful. > > Also why do the models keep a copy of all columns in the original > data set even those columns are not in the model. > E.g. if I build a model on columns A, B even thought column C > exists > in the dataframe when I run the model against test data with only > columns A and B then I get an error saying column C is missing from the > data. > > Anyway it seems like the models would be more compact without > having > to include within them data from the original data set used to build > them but that is an aside. > > If models can be persisted and loaded selectively later that would > neat. > > > thanks > Dhruv > > [[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.
