Orthogonal Least Squares for forward Selection
This function allows the user to determine more important regressors in least squares method.
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The attached function inputs number of data samples, noise variance and polynomial coefficient vector to estimate the parameters using subset selection.
Cite As
Shayan Sepahvand (2026). Orthogonal Least Squares for forward Selection (https://www.mathworks.com/matlabcentral/fileexchange/69887-orthogonal-least-squares-for-forward-selection), MATLAB Central File Exchange. Retrieved .
O. Nelles, Nonlinear System Identification, Springer-Verlag Berlin Heidelberg 2001
General Information
- Version 1.0.0 (2.36 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
