Hello, I am having some trouble using a model I created from plsr (of train) to analyze each invididual R^2 of the 10 components against the test data. For example:
mice1 <- plsr(response ~factors, ncomp=10 data=MiceTrain) R2(mice1) ##this provides the correct R2 for the Train data for 10 components ## Now my next objective is to calculate my model's R2 for each component on the Test data. (In other words - test how good the model is on test data) The only thing I need are the MiceTest.response, and compare that with predict(mice1, ncomp=1, newdata=MiceTest , and I should be able to calculate R2.....but I can't figure out the correct command to do this. I tried the command below, which does provide a different R2 response, however, I'm not sure it is correct as I get a different R^2 value from another software MOE ( Molecular Operating Environment ). R2(mice1, estimate="test", MiceTest) Is the above the correct code to achieve what I'm doing? If so, then MOE probably uses a different function to calculate the model component's R^2 for Test data. Thanks in advance. -- View this message in context: http://r.789695.n4.nabble.com/R2-function-from-PLS-to-use-a-model-on-test-data-tp2281426p2281426.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.
