issue_comments: 580369935

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https://github.com/pydata/xarray/pull/3733#issuecomment-580369935 https://api.github.com/repos/pydata/xarray/issues/3733 580369935 MDEyOklzc3VlQ29tbWVudDU4MDM2OTkzNQ== 20629530 2020-01-30T17:39:54Z 2020-01-30T22:23:31Z CONTRIBUTOR

Oh dask="allowed", that's true! For the coeficients and residuals, I can easily do this stacking and unstacking and return only one variable. So, apply_ufunc could be used. However, it would not be very useful right now, considering they way I implemented the least-squares fit directly. Meaning: the left hand side computation and scaling and the not-fitted-dimensions stacking would be done on each call of numpy.polyfit if I did call it directly. Right now, we save some of this overhead by doing it once before iterating on 1d axes (which is anyway needed with skipna=True).

 
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