Anonymous user
Talk:Multiple regression: Difference between revisions
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by fitting it to a function of the form
<math> \hat{F}(x) = \sum_{i=1}^n\beta_i f_i(x)</math>
where you've already chosen the <math>f_i</math> functions
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The number of data points <math>m</math> generally will
exceed the number of functions in the model, <math>n</math>,
and the functions <math>f_i</math> can be anything, not just <math>x^i</math>
as in the case of polynomial curve fitting.
I don't believe the Ruby and Tcl solutions on the page solve the general case of this problem
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