On Wed, May 30, 2012 at 4:07 PM, Chris Burns <chris.bur...@gmail.com> wrote: > I have a huge matrix of unspecified covariates and the corresponding sales > for them. What is the best way to predict the sales from the covariates? >
Don't want to sound rude, but given your very vague problem specifications, the best way seems to be to consult a local statistician or machine learning specialist. You can also look up literature on prediction or machine learning, in particular predictors like k nearest neighbors, Random Forest, Support Vector Machines etc. Once you decide which predictor(s) to test and use, finding a good R implementation will be trivial. HTH, Peter ______________________________________________ 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.
