Regression

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...

Detailed 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.