Dear All,
wonder if you have a thought on the followimg: if I have a simple model like model <- lm(log(y)~log(x)+log(z),data=data), where both, the dependent and independent variables are log transformed, is it ok just to use ypred <- predict(model,type=response) to get the predictions , then transform ypred with exp(ypred) to y's original scale to compare observed or known data (y) with model predicted (ypred) on the original scale? appreciate your thoughts... Andras ______________________________________________ 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.
