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Title	Author(s)	Year	Tags
Automatic masking in multivariate image analysis using support vector machines	Liu, Bharati, Dunn and MacGregor	2005	image machine vision masking SVM
Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods	Yu and MacGregor	2003	application image monitoring
Multivariate statistical monitoring of process operating performance	Kresta, MacGregor and Marlin	1991	fault detection monitoring PCA PLS SPC
Image texture analysis: methods and comparisons	Bharati, Liu and MacGregor	2004	appearance feature extraction image
Dealing with missing data: Part I	Walczak and Massart	2001	missing data tutorial
A PLS kernel algorithm for data sets with many variables and few objects. Part II: Cross-validation, missing data and examples	Rännar, Geladi, Lindgren and Wold	1995	cross validation expectation maximization kernel method large data missing data
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
One-class classifiers	Brereton	2011	classification
Multivariate response surface modelling by principal components analysis	Bratchell	1989	optimization PCA response surfaces
Multivariate design	Wold, Sjöström, Carlson, Lundstedt, Hellberg, Skagerberg, Wikström and Öhman	1986	experiments QSAR
On the rapid development of new products through empirical modeling with diverse data-bases	Muteki, MacGregor and Ueda	2006	blend ratios optimization process development
Monitoring flames in an industrial boiler using multivariate image analysis	Yu and MacGregor	2004	application image monitoring
Establishing multivariate specification regions for incoming materials	Duchesne and MacGregor	2004	application PLS specifications
An investigation of orthogonal signal correction algorithms and their characteristics	Svensson, Kourti and MacGregor	2002	OSC preprocessing
Multivariate SPC for startups and grade transitions	Duchesne, Kourti and MacGregor	2002	monitoring startup transitions
Interpretation of regression coefficients under a latent variable regression model	Burnham, MacGregor and Viveros-Aguilera	2001	error in variables regression
Statistical and causal model-based approaches to fault detection and isolation	Yoon and MacGregor	2000	fault detection fault diagnosis
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
Recursive exponentially weighted PLS and its applications to adaptive control and prediction	Dayal and MacGregor	1997	adaptive kernel method recursive
Improved PLS algorithms	Dayal and MacGregor	1997	deflation EWMA kernel method PLS theory
Frameworks for latent variable multivariate regression	Burnham, Viveros-Aguilera and MacGregor	1996	PCR reduced rank SIMPLS
Multivariate SPC methods for process and product monitoring	Kourti and MacGregor	1996	contribution plots monitoring
Statistical process control of multivariate processes	MacGregor and Kourti	1995	batch control charts fault diagnosis monitoring PCA SPC
Multivariate design of process experiments (M-DOPE)	Kettaneh-Wold, MacGregor, Dayal and Wold	1994	application experiments PLS
Process monitoring and diagnosis by multiblock PLS method	MacGregor, Jaeckle, Kiparissides and Koutoudi	1994	CUSUM EWMA monitoring multiblock

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