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Title	Author(s)	Year	Tags
Sequential design of mixture experiments for the development of new products	Muteki and MacGregor	2007	blend ratios experiments mixture property product development
On the extraction of spectral and spatial information from images	Liu and MacGregor	2007	hyperspectral image multiresolution spatial wavelet
The treatment of missing measurements in PCA and PLS models	Nelson	2002	missing data
The Mahalanobis distance	De Maesschalck, Jouan-Rimbaud and Massart	2000	Hotelling's T2 tutorial
Quality control for batch processes using multivariate latent variable methods	Flores-Cerrillo	2003	adaptive batch mid-course correction prior knowledge process control
Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS	Kourti, Nomikos and MacGregor	1995	application batch fault diagnosis monitoring multiblock multiway
Analysis of multiblock and hierarchical PCA and PLS models	Westerhuis, Kourti and MacGregor	1998	deflation hierarchical multiblock
Batch process modeling and MSPC	Wold, Kettaneh-Wold, MacGregor and Dunn	2009	batch feature extraction monitoring optimization unfolding
Batch process improvement using latent variable methods	García-Muñoz	2004	batch multiway thesis
Chemometrics - data analysis for the laboratory and chemical plant	Brereton	2003	chemometrics
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
Improvement of processes and product quality through multivariate data analysis	Duchesne	2000	batch bootstrap jackknife optimization specifications
Multivariate statistical analysis of data from an industrial fluidized catalytic cracking process using PCA and PLS	Slama	1991	application hierarchical historical refinery troubleshooting
Principal component analysis	Wold, Esbensen and Geladi	1987	PCA tutorial
Image texture analysis: methods and comparisons	Bharati, Liu and MacGregor	2004	appearance feature extraction image
Data-based latent variable methods for process analysis, monitoring and control	MacGregor, Yu, García-Muñoz and Flores-Cerrillo	2005	image machine vision monitoring PCA PLS
The kernel PCA algorithms for wide data. Part I: theory and algorithms	Wu, Massart and de Jong	1997	kernel method large data
Performance assessment and improvement of control charts for statistical batch process monitoring	Ramaker, Van Sprang, Westerhuis, Gurden, Smilde and Van Der Meulen	2006	batch control charts monitoring
SIMPLS: An alternative approach to partial least squares regression	de Jong	1993	PLS theory
Experimental design and optimization	Lundstedt, Seifert, Abramo, Thelin, Nyström, Pettersen and Bergman	1998	experiments factorial mixture property response surfaces
Missing data methods in PCA and PLS: score calculations with incomplete observations	Nelson, Taylor and MacGregor	1996	missing data
Multivariate response surface modelling by principal components analysis	Bratchell	1989	optimization PCA response surfaces
Creating intelligence - Automating the approach to development and online operation of soft sensors	Tzovla and Mehta	2002	soft sensors
Fault diagnosis with multivariate statistical models part I: using steady state fault signatures	Yoon and MacGregor	2001	fault diagnosis monitoring
The utility of multivariate design in PLS modeling	Wold, Josefson, Gottfries and Linusson	2004	experiments QSAR

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