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Title	Author(s)	Year	Tags
Data handling in hyperspectral image analysis	Burger and Gowen	2011	hyperspectral image reduced rank
Mixture product design using latent variable methods	Muteki	2006	experiments missing data mixture property multiblock process development
Machine vision for process industries: Monitoring, control, and optimization of visual quality of processes and products	Liu	2004	image texture wavelet
Product optimization and control in the latent variable space of nonlinear PLS models	Yacoub and MacGregor	2004	nonlinear optimization process control process development
Quality control for batch processes using multivariate latent variable methods	Flores-Cerrillo	2003	adaptive batch mid-course correction prior knowledge process control
Multivariate image analysis and regression for industrial process monitoring and product quality control	Bharati	2002	image monitoring pulp and paper texture
Fault diagnosis with multivariate statistical models part I: using steady state fault signatures	Yoon and MacGregor	2001	fault diagnosis monitoring
Multivariate design and modeling in QSAR	Eriksson and Johansson	1996	D-optimal principle properties QSAR tutorial
Partial least-squares regression: a tutorial	Geladi and Kowalski	1986	PLS regression tutorial
Latent variable methods: Case studies in the food industry	Nichols	2011	application classification experiments image NIR product development
Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping	González-Martínez, Ferrer and Westerhuis	2011	batch missing data monitoring
Variable selection in regression - a tutorial	Andersen and Bro	2010	review tutorial variable selection
Some common misunderstandings in chemometrics	Kjeldahl and Bro	2010	interpretation PCA plots PLS
PCA and PLS with very large data sets	Kettaneh-Wold, Berglund and Wold	2005	adaptive alignment application
Control of batch product quality by trajectory manipulation using latent variable models	Flores-Cerrillo and MacGregor	2004	application model inversion PLS process control
Batch process improvement using latent variable methods	García-Muñoz	2004	batch multiway thesis
Softwood lumber grading through on-line multivariate image analysis techniques	Bharati, MacGregor and Tropper	2003	control charts image monitoring
PLS-regression: a basic tool of chemometrics	Wold, Sjöström and Eriksson	2001	PLS
Product transfer between plants using historical process data	Jaeckle and MacGregor	2000	model inversion product transfer
Latent variable multivariate regression modeling	Burnham, MacGregor and Viveros-Aguilera	1999	error in variables PCR reduced rank regression
Acoustic chemometrics - from noise to information	Esbensen, Halstensen, Lied, Saudland, Svalestuen, de Silva and Hope	1998	acoustic noise
Process analysis, monitoring and diagnosis, using multivariate projection methods	Kourti and MacGregor	1995	application monitoring tutorial
Exponentially weighted moving principal components analysis and projections to latent structures	Wold	1994	adaptive drift EWMA kernel method
The kernel algorithm for PLS	Lindgren, Geladi and Wold	1993	image kernel method large data
Cross-validation in principal component analysis	Krzanowski	1987	cross validation influential observations jackknife PCA variable selection

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