PLS

Version 1.0.0.0 (689 Bytes) by Yang Zhang
perform PLS calculation by using NIPALS algorithm.
5.6K Downloads
Updated 20 Sep 2007

No License

standard PLS by using NIPALS algorithm.
Inputs:
x n*m matrix
y n*l matrix

Outputs:
t n*max(m,l) matrix
p m*max(m,l) matrix
u n*max(m,l) matrix
q l*max(m,l) matrix
b max(m,l)*max(m,l) matrix

important properties:

x = t*p';
y = u*q';

ti' * tj = 0;
wi' * wj = 0;

refs:
[1] S. J. Qin, "Statistical Process Monitoring: Basics and Beyond," Journal of Chemometrics, vol. 17, pp. 480-502, 2003.
[2] P. Geladi and B. R. Kowalski, "Partial Least Squares Regression: A Tutorial," Analytica Chimica Acta, vol. 185, pp. 1-17, 1986.

Cite As

Yang Zhang (2024). PLS (https://www.mathworks.com/matlabcentral/fileexchange/16465-pls), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.0.0