[R] log log regression model
FarkasA at optimum-dosing-strategies.org
Fri Jan 1 02:35:54 CET 2016
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...
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