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Title	Author(s)	Year	Tags
A combined theory for PCA and PLS	Höskuldsson	1995	H-principle model size theory
Analysis of multiblock and hierarchical PCA and PLS models	Westerhuis, Kourti and MacGregor	1998	deflation hierarchical multiblock
Data-driven soft sensors in the process industry	Kadlec, Gabrys and Strandt	2009	review soft sensors
Review of robust multivariate statistical methods in high dimension	Filzmoser and Todorov	2011	R review robust
The treatment of missing measurements in PCA and PLS models	Nelson	2002	missing data
Development of vision-based inferential sensors for process monitoring and control	Yu	2003	application food image petrochemical
Exponentially weighted moving principal components analysis and projections to latent structures	Wold	1994	adaptive drift EWMA kernel method
Multivariate image analysis: A review with applications	Prats-Montalbán, De Juan and Ferrer	2011	hyperspectral image review texture
Data handling in hyperspectral image analysis	Burger and Gowen	2011	hyperspectral image reduced rank
Review of adaptation mechanisms for data-driven soft sensors	Kadlec, Grbić and Gabrys	2011	adaptive review soft sensors
Kernel-PCA algorithms for wide data Part II: fast cross-validation and application in classification of NIR data	Wu, Massart and de Jong	1997	application classification cross validation kernel method NIR
The kernel PCA algorithms for wide data. Part I: theory and algorithms	Wu, Massart and de Jong	1997	kernel method large data
Missing data methods in PCA and PLS: score calculations with incomplete observations	Nelson, Taylor and MacGregor	1996	missing data
Batch process modeling and MSPC	Wold, Kettaneh-Wold, MacGregor and Dunn	2009	batch feature extraction monitoring optimization unfolding
Model predictive monitoring for batch processes	García-Muñoz, Kourti and MacGregor	2004	batch missing data
Batch process improvement using latent variable methods	García-Muñoz	2004	batch multiway thesis
Process analysis, monitoring and diagnosis, using multivariate projection methods	Kourti and MacGregor	1995	application monitoring tutorial
Multi-way principal components- and PLS-analysis	Wold, Geladi, Esbensen and Öhman	1987	calibration HPLC multiway PCA PLS tutorial
Multivariate statistical monitoring of process operating performance	Kresta, MacGregor and Marlin	1991	fault detection monitoring PCA PLS SPC
PCA and PLS with very large data sets	Kettaneh-Wold, Berglund and Wold	2005	adaptive alignment application
On the extraction of spectral and spatial information from images	Liu and MacGregor	2007	hyperspectral image multiresolution spatial wavelet
Fault diagnosis with multivariate statistical models part I: using steady state fault signatures	Yoon and MacGregor	2001	fault diagnosis monitoring
One-class classifiers	Brereton	2011	classification
Latent variable methods: Case studies in the food industry	Nichols	2011	application classification experiments image NIR product development
Comparing alternative approaches for multivariate statistical analysis of batch process data	Westerhuis, Kourti and MacGregor	1999	alignment batch multiway

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