POLYFIT_ROOTS Least-squares polynomial fit to data.
[R,K] = POLYFIT_ROOTS(X, Y, N, TOL) finds the roots R and constant K so that the polynomial P(s) = K*(s-R(1))*(s-R(2))* ... *(s-R(N)) is the best least-squares fit to the data Y at points X.
Argument TOL bounds the accuracy of the fit, and if ommited is taken to be 1e-14. A polynomial of degree n < N is returned if it fits the data with error less than TOL.
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x = SUM(A, col);
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