Partial least squares regression: Difference between revisions

Revision as of 23:39, 5 January 2020

Revision as of 06:49, 10 January 2021

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| pages = 119–128

| year = 2002

| url =

| doi = 10.1002/cem.695}}

</ref> L-PLS extends PLS regression to 3 connected data blocks.<ref>{{cite journal |last1=Sæbøa |first1=S. |last2=Almøya |first2=T. |last3=Flatbergb |first3=A. |last4=Aastveita |first4=A.H. |last5=Martens |first5=H. |title=LPLS-regression: a method for prediction and classification under the influence of background information on predictor variables |journal=Chemometrics and Intelligent Laboratory Systems |volume=91 |issue=2 |pages=121–132 |year=2008 |doi=10.1016/j.chemolab.2007.10.006 }}</ref> Similarly, OPLS-DA (Discriminant Analysis) may be applied when working with discrete variables, as in classification and biomarker studies.

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*{{cite journal | last1=Rosipal |first1=Roman |first2=Nicole |last2=Kramer | title=Overview and Recent Advances in Partial Least Squares, in Subspace, Latent Structure and Feature Selection Techniques |pages=34–51 | year=2006}}

*{{cite journal |last=Helland |first=Inge S. |title=PLS regression and statistical models |journal=Scandinavian Journal of Statistics |volume=17 |issue=2 |pages=97–114 |year=1990 |jstor=4616159}}

*{{cite book |authorlinkauthor-link=Herman Wold |last=Wold |first=Herman |chapter=Estimation of principal components and related models by iterative least squares |editor-first=P.R. |editor-last=Krishnaiaah |title=Multivariate Analysis |publisher=Academic Press |___location=New York |year=1966 |pages=391–420 }}

*{{cite book |last=Wold |first=Herman |title=The fix-point approach to interdependent systems |publisher=North Holland |___location=Amsterdam |year=1981 }}

*{{cite book |last=Wold |first=Herman |chapter=Partial least squares |editor1-first=Samuel |editor1-last=Kotz |editor2-first=Norman L. |editor2-last=Johnson |title=Encyclopedia of statistical sciences |publisher=Wiley |___location=New York |year=1985 |pages=581–591 |volume=6}}