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All of the methods have very similar verification rsq except for OLS.

If we are only looking at one statistical measure say, rsq to tell us if our model is correct, then we run the risk of just selecting one among many spurious models.

As a different analogy, think of a statistical measure like rsq as being like a shadow cast by the data.

You get an rsq of 1, but the model is still probably wrong. bender

But that same literature also shows very high spurious rsq.

Where is the section that discusses rsq in the text of the paper?

When you or Mann talk about rsq, what is it you mean? of what data to what model?

I know that rsq measures how much the data points vary from the line in a best fit analysis.

What does it mean to do rsq during the uninstrumented period?

Here is a place that tells you what rsq is significant.
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