Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review
Partial Least Squares (PLS) methods are particularly suited to the analysis of relationships
between measures of brain activity and of behavior or experimental design. In …
between measures of brain activity and of behavior or experimental design. In …
Partial least squares regression and projection on latent structure regression (PLS Regression)
H Abdi - Wiley interdisciplinary reviews: computational …, 2010 - Wiley Online Library
Partial least squares (PLS) regression (aka projection on latent structures) is a recent
technique that combines features from and generalizes principal component analysis (PCA) …
technique that combines features from and generalizes principal component analysis (PCA) …
PLS-regression: a basic tool of chemometrics
S Wold, M Sjöström, L Eriksson - Chemometrics and intelligent laboratory …, 2001 - Elsevier
PLS-regression (PLSR) is the PLS approach in its simplest, and in chemistry and
technology, most used form (two-block predictive PLS). PLSR is a method for relating two …
technology, most used form (two-block predictive PLS). PLSR is a method for relating two …
[图书][B] Multivariate calibration
Multivariate Calibration Harald Martens, Chemist, Norwegian Food Research Institute, Aas,
Norway and Norwegian Computing Center, Oslo, Norway Tormod Næs, Statistician …
Norway and Norwegian Computing Center, Oslo, Norway Tormod Næs, Statistician …
A full‐condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis
Chemical processes are in general subject to time variant conditions because of load
changes, product grade transitions, or other causes, resulting in typical nonstationary …
changes, product grade transitions, or other causes, resulting in typical nonstationary …
Methods for reliability and uncertainty assessment and for applicability evaluations of classification-and regression-based QSARs.
L Eriksson, J Jaworska, AP Worth… - Environmental …, 2003 - ehp.niehs.nih.gov
This article provides an overview of methods for reliability assessment of quantitative
structure-activity relationship (QSAR) models in the context of regulatory acceptance of …
structure-activity relationship (QSAR) models in the context of regulatory acceptance of …
[图书][B] Multi-way analysis: applications in the chemical sciences
This book is an introduction to the field of multi-way analysis for chemists and
chemometricians. Its emphasis is on the ideas behind the method and its pratical …
chemometricians. Its emphasis is on the ideas behind the method and its pratical …
PLS: partial least squares projections to latent structures
PLS: Partial Least Squares Projections to Latent Structures IRIS IRIS Home Sfoglia
Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano Italiano English English LOGIN …
Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano Italiano English English LOGIN …
Partial least squares: a versatile tool for the analysis of high-dimensional genomic data
AL Boulesteix, K Strimmer - Briefings in bioinformatics, 2007 - academic.oup.com
Partial least squares (PLS) is an efficient statistical regression technique that is highly suited
for the analysis of genomic and proteomic data. In this article, we review both the theory …
for the analysis of genomic and proteomic data. In this article, we review both the theory …
Analysis of multiblock and hierarchical PCA and PLS models
JA Westerhuis, T Kourti… - Journal of Chemometrics …, 1998 - Wiley Online Library
Multiblock and hierarchical PCA and PLS methods have been proposed in the recent
literature in order to improve the interpretability of multivariate models. They have been used …
literature in order to improve the interpretability of multivariate models. They have been used …