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Mar 29, 2022 at 10:36 comment added Dave @Firebug I wouldn’t worry about the interpretation of $R^2$ as proportion of variance explained. That turns out to be the exception, not the rule. Further, we don’t even need a nonlinear regression for that interpretation to break down.
May 12, 2020 at 21:44 comment added Firebug Do you have a reference for this? Granted, if you take $R^2$ to be a comparison of deviances, ergo a comparison of likelihoods I think you're right. But if you take $R^2$ to be the proportion of explained variance then not, because the total sum of squares won't appear anywhere.
May 1, 2019 at 1:53 comment added Matifou Thanks for the answer! Do you have any reference on this? It seems stat softwares use commonly the alternative definition, with y_test?
Sep 27, 2017 at 20:27 comment added Nick Cox Although I have fixed some obvious and some apparent errors from previous edits some of the notation and some of the intended meaning are still unclear.
Sep 27, 2017 at 20:25 history edited Nick Cox CC BY-SA 3.0
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Sep 27, 2017 at 20:07 history edited Ferdi CC BY-SA 3.0
Mathjax and Reformatting
Sep 27, 2017 at 20:00 review Low quality posts
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Mar 8, 2017 at 22:56 review Late answers
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Mar 8, 2017 at 22:46 review First posts
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Mar 8, 2017 at 22:37 history answered user152317 CC BY-SA 3.0