StepwiseLS Properties |
The StepwiseLS type exposes the following members.
Name | Description | |
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InModel |
Returns boolean array.
I-th element of array is true if and only if i-th regressor was added into model.
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InModelIndices |
Indices of regressors which were added into model.
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InterceptTerm |
Intercept Term parameter.
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IterationsDone |
Number of iterations completed.
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MinimalVariance |
Represents minimal regressand variance which must be covered by regressor to be in model.
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Parameters |
Vector of regression parameters.
(Inherited from AbstractLS.) | |
PValue |
Pvalue scores for regressors.
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Status |
Method Status.
(Inherited from AbstractLS.) | |
StepwiseParameters |
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.
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TStatistics |
Returns vector of test statistic for each regressor.
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