Partial least squares as a target-directed structure-seeking technique

William S. Rayens; Anders H. Andersen

doi:10.1016/j.chemolab.2004.01.001

Partial least squares as a target-directed structure-seeking technique

William S. Rayens, Anders H. Andersen

Dr. Bing Zhang Department of Statistics

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Partial least square (PLS) has enjoyed considerable success in a variety of applications. One of the reasons it is so popular is that it can be applied in many different ways, with a host of different endpoints of interest for the analysis. In chemometrics, the focus has traditionally been on calibration or regression. There has been very little discussion about how to use PLS as a target-directed structure-seeking technique in kinetic studies. It turns out that this is a very natural use of PLS, one that emerges as preferable to the standard approach that employs a least-squares fit of selected component directions to the kinetic target. In this paper, we explore this comparison within the context of brain mapping studies employing functional magnetic resonance imaging (fMRI).

Original language	English
Pages (from-to)	121-127
Number of pages	7
Journal	Chemometrics and Intelligent Laboratory Systems
Volume	71
Issue number	2
DOIs	https://doi.org/10.1016/j.chemolab.2004.01.001
State	Published - May 28 2004

Bibliographical note

Funding Information:
During the preparation of this manuscript, AHA was supported by USPHS National Institute of Health grants NS35080 and AG12494.

Keywords

Kinetics
Magnetic resonance imaging
Principal components
Rotations
fMRI

ASJC Scopus subject areas

Software
Analytical Chemistry
Process Chemistry and Technology
Spectroscopy
Computer Science Applications

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10.1016/j.chemolab.2004.01.001

Cite this

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Partial least squares as a target-directed structure-seeking technique

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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