Mon Jun 16 16:33:53 CDT 2008
At the risk of uttering a heresy, are you bound to Python for this? I bet
you could find a C library that will work well, plus it is not a hard
algorithm to code yourself. I am pretty sure I have used a numerical
recipes algorithm for regression in my distant past.
Also I can't help thinking the idea of forcing your regression fit through
the origin is a of a bit strange thing to do. Do you want it to pass
through the origin for visualisation purposes? What if the origin is not a
statistically valid place for the regression fit to pass through?
On Mon, Jun 16, 2008 at 9:25 PM, Charles R Harris <email@example.com>
> On Mon, Jun 16, 2008 at 1:47 PM, Chandler Latour <firstname.lastname@example.org>
>> Yes, exactly what I meant.
> Polyfit just fits polynomials, there is no way of fixing the constant to
> zero. Your best bet is to use linalg.lstsq directly to fit the function you
> Numpy-discussion mailing list
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