Glad to hear it now works for you. But speaking more generally, note that R-squared is the squared correlation between the predicted Y and actual Y values. E.g.
lmout <- lm(y ~ x) print(cor(lmout$fitted.values,y)^2) One can use this in any regression setting, even machine learning methods. Norm ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
