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When using QAP regression models, I noticed that R-squared is
typically small, say around .01
What line should one have when for example submitting a manuscript
with QAP results?
Are P-star (quasi-)R-squareds better?
My intuition is that since network matrices are sparse, there is
little variance to begin with, so the explained variance is small.
Any ideas are much appreciated,
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