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# Regression

#### Discrete

Approximates a discrete function using least squares polynomial fitting.
 double Discrete_once (int N, double *x, double *y, int degree, double a) #### Forsythe

Approximates an arbitrary function using Forsythe orthogonal polynomials.
 double Forsythe_once (int n, double *x, double *y, int degree, double a) #### Linear

Calculates the linear regression parameters and evaluates the regression line at arbitrary abscissas
 double Linear_once (int n, double *x, double *y, double a) #### Logistic

Evaluates the logistic regression curve built from a given set of points.
 double Logistic_once (int n, double *x, double *y, double a) #### Orthogonal

Approximates an arbitrary function using orthogonal polynomials.
 double Orthogonal_once (int n, double *x, double *y, int degree, double a) #### Parabolic

Approximates an arbitrary function using parabolic least squares fitting.
 double Parabolic_once (int n, double *x, double *y, double a) #### Stiefel

Approximates a given function using the Stiefel-Remes method.
 double Stiefel_once (int n, double *x, double *y, int degree, double a)  #### Univariate Regression

univariate regression, polynomial regression, orthogonal polynomials, nonlinear     