Polynomial Least-Squares Curve Fit

This subroutine determines a univariate polynomial that fits a given discrete set of data in the sense of minimizing the weighted sum of squares of residuals. The fitted polynomial can be constrained to match some data points exactly by appropriate setting of the a priori standard deviations of the data errors.  Auxiliary subroutines, described in Chapter 11.2 , may be used to evaluate, differentiate, or integrate a polynomial produced by this fitting procedure.
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