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Title	Author(s)	Year	Tags
Product design through multivariate statistical analysis of process data	Jaeckle and MacGregor	1998	model inversion product development simulation
Process analysis, monitoring and diagnosis, using multivariate projection methods	Kourti and MacGregor	1995	application monitoring tutorial
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
Multivariate monitoring of batch processes using batch-to-batch information	Flores-Cerrillo and MacGregor	2004	batch monitoring SPC
Review of adaptation mechanisms for data-driven soft sensors	Kadlec, Grbić and Gabrys	2011	adaptive review soft sensors
Creating intelligence - Automating the approach to development and online operation of soft sensors	Tzovla and Mehta	2002	soft sensors
Cross-validation methods in principal component analysis: A comparison	Diana and Tommasi	2002	cross validation
Exponentially weighted moving principal components analysis and projections to latent structures	Wold	1994	adaptive drift EWMA kernel method
Multi-way partial least squares in monitoring batch processes	Nomikos and MacGregor	1995	batch monitoring PLS simulation SPC
Development of inferential sensors for chemical processes using partial least squares	Roney	1998	dynamics feedback control nonlinear soft sensors time series
Latent variable methods: Case studies in the food industry	Nichols	2011	application classification experiments image NIR product development
Centering and scaling in component analysis	Bro and Smilde	2003	missing data multiway PARAFAC preprocessing theory
Principles of proper validation: use and abuse of re-sampling for validation	Esbensen and Geladi	2010	cross validation resampling
The utility of multivariate design in PLS modeling	Wold, Josefson, Gottfries and Linusson	2004	experiments QSAR
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
Product transfer between plants using historical process data	Jaeckle and MacGregor	2000	model inversion product transfer
Fault diagnosis with multivariate statistical models part I: using steady state fault signatures	Yoon and MacGregor	2001	fault diagnosis monitoring
Multivariate analysis and optimization of process variable trajectories for batch processes	Duchesne and MacGregor	2000	batch feature extraction optimization
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
Multivariate design	Wold, Sjöström, Carlson, Lundstedt, Hellberg, Skagerberg, Wikström and Öhman	1986	experiments QSAR
A multiblock partial least squares algorithm for investigating complex chemical systems	Wangen and Kowalski	1989	multiblock PLS
The kernel algorithm for PLS	Lindgren, Geladi and Wold	1993	image kernel method large data
Partial least-squares regression: a tutorial	Geladi and Kowalski	1986	PLS regression tutorial
Troubleshooting of an industrial batch process using multivariate methods	García-Muñoz, Kourti, MacGregor, Mateos and Murphy	2003	alignment application batch troubleshooting
Experimental design and optimization	Lundstedt, Seifert, Abramo, Thelin, Nyström, Pettersen and Bergman	1998	experiments factorial mixture property response surfaces

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