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2006 Mar 10
1
How to compare fit of linear and nonlinear models
Dear statistics experts,
I'm looking for a way to compare the fit of the following three models:
LinModel <- lm(y ~ x)
LogModel <- nls(y ~ SSlogis(x, Asym, xmid, scal))
PotModel <- nls(y ~ a * x^n, start=list(a=1, n=1))
I am only interested in whether one of these models has substantial advances in
explaining the variance of y. So my original idea was simply to compare the
adjusted R squared values. This however seems to be problematic for nls models,
as I learned from...