Package org.apache.commons.math.stat.regression

package org.apache.commons.math.stat.regression

Statistical routines involving multivariate data.

Related Packages

Package	Description
org.apache.commons.math.stat	Data storage, manipulation and summary routines.
org.apache.commons.math.stat.clustering	Clustering algorithms
org.apache.commons.math.stat.correlation	Correlations/Covariance computations.
org.apache.commons.math.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math.stat.inference	Classes providing hypothesis testing and confidence interval construction.
org.apache.commons.math.stat.ranking	Classes providing rank transformations.

Class	Description
AbstractMultipleLinearRegression	Abstract base class for implementations of MultipleLinearRegression.
GLSMultipleLinearRegression	The GLS implementation of the multiple linear regression.
MultipleLinearRegression	The multiple linear regression can be represented in matrix-notation.
OLSMultipleLinearRegression	Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
SimpleRegression	Estimates an ordinary least squares regression model with one independent variable.