Thank you for our reply. It's a pity, that 2 variables defined by different formula have same name. If the variables had been named differently, I wouldn't have problem at all and it looks like it's done on purpose. Because I test a quality of data (performance of collecting data) not a model which I know a priori, R^2 gives me simple information of that quality even for nonlinear model.
Still when testing different models R^2 shows nothing important. I didn't stated that negative R^2 is meaningless. It has meaning that the model or the data are wrong. -- View this message in context: http://r.789695.n4.nabble.com/Strange-R-squared-possible-error-tp3382818p3385837.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.
