Uses of Interface
org.codehaus.jet.regression.MultipleLinearRegressionEstimator

Packages that use MultipleLinearRegressionEstimator
org.codehaus.jet.regression.estimators   
 

Uses of MultipleLinearRegressionEstimator in org.codehaus.jet.regression.estimators
 

Classes in org.codehaus.jet.regression.estimators that implement MultipleLinearRegressionEstimator
 class AbstractMultipleLinearRegressionEstimator
          Abstract base class for implementations of MultipleLinearRegression
 class GLSMultipleLinearRegressionEstimator
          The GLS implementation of the multiple linear regression GLS assumes a general covariance matrix Omega of the error
 class OLSMultipleLinearRegressionEstimator
          The OLS implementation of the multiple linear regression OLS assumes the covariance matrix of the error to be diagonal and with equal variance.
 

Methods in org.codehaus.jet.regression.estimators that return MultipleLinearRegressionEstimator
protected static MultipleLinearRegressionEstimator AbstractInformationCriterionEstimator.createDefaultRegressionEstimator()
           
 

Constructors in org.codehaus.jet.regression.estimators with parameters of type MultipleLinearRegressionEstimator
AbstractInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
          Creates an AbstractInformationCriterionEstimator with a given regression estimator
AkaikeInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
          Creates an AkaikeInformationCriterionEstimator with given regression estimator
HannanQuinnInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
          Creates an HannanQuinnInformationCriterionEstimator with given regression estimator
SchwarzInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
          Creates an SchwarzInformationCriterionEstimator with given regression estimator
 



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