FitPolynomialFunc Method

Least-Squares fitting the points (x,y) to a k-order polynomial y : x -> p0 + p1*x + p2*x^2 + ... + pk*x^k, returning a function y' for the best fitting polynomial. A polynomial with order/degree k has (k+1) coefficients and thus requires at least (k+1) samples.

public static Func<double, double> PolynomialFunc(
	double[] x,
	double[] y,
	int order,
	DirectRegressionMethod method = DirectRegressionMethod.QR
)