Approximates a discrete function using least squares polynomial fitting.
double Discrete_once (int N, double *x, double *y, int degree, double a)
Icon Approximates an arbitrary function using Forsythe orthogonal polynomials.
double Forsythe_once (int n, double *x, double *y, int degree, double a)
Icon Calculates the linear regression parameters and evaluates the regression line at arbitrary abscissas
double Linear_once (int n, double *x, double *y, double a)
Icon Evaluates the logistic regression curve built from a given set of points.
double Logistic_once (int n, double *x, double *y, double a)
Icon Approximates an arbitrary function using orthogonal polynomials.
double Orthogonal_once (int n, double *x, double *y, int degree, double a)
Icon Approximates an arbitrary function using parabolic least squares fitting.
double Parabolic_once (int n, double *x, double *y, double a)
Icon Approximates a given function using the Stiefel-Remes method.
double Stiefel_once (int n, double *x, double *y, int degree, double a)
Icon Icon univariate regression, polynomial regression, orthogonal polynomials, nonlinear
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