Forward Stepwise Regression Algorithm

Version 1.0.0.0 (3.12 KB) by Marco B.
Forward stepwise model selection algorithm (FSRA)
3.0
(1)
1.4K Downloads
Updated 24 May 2010

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Forward stepwise model selection algorithm: Variables are sequentially added to the active set of variables. The procedure does not involve any tests of statistical significance of the potential covariates; instead, it produces a ranking that corresponds to the order of variables as they enter the active set.

The function can be provided with a dataset of size (K+1)xN (N observations, K predictors, one explained variable).

Cite As

Marco B. (2024). Forward Stepwise Regression Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/27714-forward-stepwise-regression-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0