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TMtxStepwiseReg Class
TMtxStepwiseReg Constructor  TMtxStepwiseReg Methods  TMtxStepwiseReg Properties  TMtxStepwiseReg Events  TMtxStepwiseReg Members  Classes
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Stepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables.

Class Hierarchy
Dew_Stats_TMtxStepwiseReg
Syntax
C#
Visual Basic
public class TMtxStepwiseReg : TMtxComponent;
File

StatTools.cs

Remarks

For models with less than 15 variables, the exhaustive search is the recommended method. Alternatively it is possible to perform "backward search" by starting with all and removing one by one or "forward search" by starting with none and adding one by one variable. Both backward and forward search can have selected variables already pre-included (or pre-excluded). Single step mode allows the user to manually include or exclude individual variables from the model after each step.

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