PLS: A versatile tool for industrial process improvement and optimization

DOI10.1002/ASMB.716zbMath1199.62072OpenAlexW4238548792WikidataQ60601084 ScholiaQ60601084MaRDI QIDQ3552653

José Manuel Prats, Santiago Vidal-Puig, Manuel Zarzo, Daniel Aguado, Alberto Ferrer

Publication date: 22 April 2010

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asmb.716

zbMATH Keywords

classificationfault diagnosismonitoringsoft sensormultivariate image analysisPLS time series

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Applications of statistics in engineering and industry; control charts (62P30)

Cites Work

• Unnamed Item
• Unnamed Item
• The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
• On the structure of partial least squares regression
• A Statistical View of Some Chemometrics Regression Tools
• Multivariate SPC Charts for Monitoring Batch Processes

This page was built for publication: PLS: A versatile tool for industrial process improvement and optimization