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Search across titles, abstracts, and (where available) the full article text. Author last-name typos are matched fuzzily.

Title	Author(s)	Year	Tags
The treatment of missing measurements in PCA and PLS models	Nelson	2002	missing data
Multivariate latent variable regression: Modelling and estimation	Burnham	1997	continuum regression maximum liklihood PLS theory
Interpretation of latent-variable regression models	Kvalheim and Karstang	1989	biplot geometric graphical
Missing data methods in PCA and PLS: score calculations with incomplete observations	Nelson, Taylor and MacGregor	1996	missing data
Process analysis, monitoring and diagnosis, using multivariate projection methods	Kourti and MacGregor	1995	application monitoring tutorial
Application of latent variable methods to process control and multivariate statistical process control in industry	Kourti	2005	adaptive fault diagnosis monitoring SPC
Multi-block PLS modeling for L-shape data structures with applications to mixture modeling	Muteki and MacGregor	2007	blend ratios experiments
A statistical framework for multivariate latent variable regression methods based on maximum likelihood	Burnham, MacGregor and Viveros-Aguilera	1999	continuum regression error in variables theory
Scatter plotting in multivariate data analysis	Geladi, Manley and Lestander	2003	biplot plots visualization
Control of batch product quality by trajectory manipulation using latent variable models	Flores-Cerrillo and MacGregor	2004	application model inversion PLS process control
Sequential design of mixture experiments for the development of new products	Muteki and MacGregor	2007	blend ratios experiments mixture property product development
Multivariate design and modeling in QSAR	Eriksson and Johansson	1996	D-optimal principle properties QSAR tutorial
PLS-regression: a basic tool of chemometrics	Wold, Sjöström and Eriksson	2001	PLS
A multivariate calibration problem in analytical chemistry solved by partial least-squares models in latent variables	Sjöström, Wold, Lindberg, Persson and Martens	1983	calibration
General Framework for Latent Variable Model Inversion for the Design and Manufacturing of New Products	Tomba, Barolo and García-Muñoz	2012	blend ratios model inversion product development
Multivariate statistical monitoring of process operating performance	Kresta, MacGregor and Marlin	1991	fault detection monitoring PCA PLS SPC
Industrial Applications of Product Design through the Inversion of Latent Variable Models	Jaeckle and MacGregor	2000	model inversion product development specifications
Development of vision-based inferential sensors for process monitoring and control	Yu	2003	application food image petrochemical
A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm	Rännar, Lindgren, Geladi and Wold	1994	kernel method large data
On the variable contributions to the \(D\)-statistic	Alvarez, Brandolin and Sánchez	2007	contribution plots fault diagnosis Hotelling's T2 monitoring SPC
Principal component analysis of multivariate images	Geladi, Isaksson, Lindqvist, Wold and Esbensen	1989	image PCA
Multivariate image analysis for real-time process monitoring	Bharati	1997	image monitoring
PCA and PLS with very large data sets	Kettaneh-Wold, Berglund and Wold	2005	adaptive alignment application
Quantitative-structure-effect relationship for some technical nonionic surfactants	Lindgren, Sjöström and Wold	1996	experiments QSAR
Review of robust multivariate statistical methods in high dimension	Filzmoser and Todorov	2011	R review robust

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