Regression

Module Description

Classes representing multiple linear and logistic regression. Both kinds of classes operate on similar input data. The data are in the form of a matrix of values for the predictor variables, and a vector of values for the observation variable.

Classes
class	RWLinearRegression
	Constructs a linear regression model from a matrix of predictor variable data and a vector of observation variable data. More...
class	RWLinearRegressionANOVA
	Provides information on the variance of residual errors for a linear regression model. More...
class	RWLinearRegressionFTest
	Tests that the estimated parameters in a linear regression model are equal to a hypothesized vector of values. More...
class	RWLogisticRegression
	Performs basic logistic regression on a matrix of predictor variables and a vector of observations. More...
class	RWRegression< T, S >
	Abstract base class that defines the interface for the regression classes. More...