Have you considered "predict" (including the examples with "?predict.lm")?
spencer graves Tony Young wrote: > Hello all, > > I need some help with linear modeling and making predictions using my > model. What I have done is the following: > > -Read my variable data into R using read.table > -Assigned the values to variable names so that each variable is a > vector from the table > -Generated my model using the lm command and each of my variables > -Read some new data with which to make predictions into a new data > frame (the variables have the same names as the ones used to build > the model, but the new variables are in a frame called "new") > > Now, what I want to do is use the model that R constructed and feed > it new values for the variables, then get back the estimated response > variable value. I can't seem to figure out how to do this using > predict or predict.lm. I get a warning that the new data contained 36 > values (there are 36 new sets of values that I want predictions for > using the model) when the original data set contains 5136 values. > Then, the fitted values are the ones that were from the model creation > > Any help would be appreciated! > > ty > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Spencer Graves, PhD Senior Development Engineer PDF Solutions, Inc. 333 West San Carlos Street Suite 700 San Jose, CA 95110, USA [EMAIL PROTECTED] www.pdf.com <http://www.pdf.com> Tel: 408-938-4420 Fax: 408-280-7915 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html