A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.
%0 Journal Article
%1 Geladi1986
%A Geladi, P.
%A Kowalski, B.R.
%D 1986
%J Anal. Chim. Acta
%K chemometrics pls regression review statistics tutorial
%N C
%P 1-17
%R 10.1016/0003-2670(86)80028-9
%T Partial least-squares regression: a tutorial
%V 185
%X A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.
@article{Geladi1986,
abstract = {A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.},
added-at = {2010-03-09T21:44:03.000+0100},
author = {Geladi, P. and Kowalski, B.R.},
biburl = {https://www.bibsonomy.org/bibtex/28eff5d1509d6ad2f10f127b1b9525723/afcallender},
doi = {10.1016/0003-2670(86)80028-9},
interhash = {eb631825d3809b7ed4a79e33917a7e53},
intrahash = {8eff5d1509d6ad2f10f127b1b9525723},
journal = {Anal. Chim. Acta},
keywords = {chemometrics pls regression review statistics tutorial},
number = {C},
pages = {1-17},
timestamp = {2010-03-09T22:22:08.000+0100},
title = {Partial least-squares regression: a tutorial},
volume = 185,
year = 1986
}