Thank you for the fast help! I am not sure though if I understand the predict.lm business. The newdata that I would make predictions from consists of six matrices, one for each variable. Do I cbind the matrices like you suggest for the regression and then convert them to a dataframe? How does R know which column in the matrix I created with cbind belongs to which variable in the regression?
One last question. If I use predict.lm without newdata it gives me as many data points as were used for the regression. However, in my matrices I have rows of NA for days without observations. My problem is now that if predict.lm only gives me the datapoints used for regression I can not match them to the actual observations days anymore. Is there anyway of keeping the original matrix and put the predicted value in it? Thanks again, Frauke -- View this message in context: http://r.789695.n4.nabble.com/correlating-matrices-tp4643660p4643858.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
