Anonymous user
Talk:Multiple regression: Difference between revisions
I do not defend the task. I defend my implementation of it.
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(I do not defend the task. I defend my implementation of it.) |
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:You can always fit any empirical data to a polynomial. This task is about fitting it to functions of a more general form (i.e., a different basis). For example, by selecting the functions <math>f_i</math> as sinusoids with appropriate frequencies, it should be possible to obtain Fourier coefficients (albeit less efficiently than with a dedicated FFT solver). I don't see how the code in the given solutions could be used to do that. --[[User:Sluggo|Sluggo]] 16:57, 9 August 2009 (UTC)
:: Well, the only code in the Tcl example that assumes a polynomial is in the example part and not the core solution part; that's using polynomials of up to degree 2 because that's what the page that provided the data used for the example suggested, not out of some kind of endorsement of polynomials. —[[User:Dkf|Donal Fellows]] 20:51, 9 August 2009 (UTC)
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