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StepwiseLS Properties

The StepwiseLS type exposes the following members.

Properties
  NameDescription
Public propertyInModel
Returns boolean array. I-th element of array is true if and only if i-th regressor was added into model.
Public propertyInModelIndices
Indices of regressors which were added into model.
Public propertyInterceptTerm
Intercept Term parameter.
Public propertyIterationsDone
Number of iterations completed.
Public propertyMinimalVariance
Represents minimal regressand variance which must be covered by regressor to be in model.
Public propertyParameters
Vector of regression parameters.
(Inherited from AbstractLS.)
Public propertyPValue
Pvalue scores for regressors.
Public propertyStatus
Method Status.
(Inherited from AbstractLS.)
Public propertyStepwiseParameters
Stepwise regression _parameters. For in-model regressors paramters will be regression _parameters. The StepwiseParameters value for a term not included in the final model is the coefficient estimate that would result from adding the term to the model.
Public propertyTStatistics
Returns vector of test statistic for each regressor.
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