Laguerre.fit()
numpy.polynomial.laguerre.Laguerre.fit
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Laguerre.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)[source] -
Least squares fit to data.
Return a series instance that is the least squares fit to the data
ysampled atx. The domain of the returned instance can be specified and this will often result in a superior fit with less chance of ill conditioning.Parameters:
