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Search across titles, abstracts, and (where available) the full article text. Author last-name typos are matched fuzzily.

Title	Author(s)	Year	Tags
Missing data methods in PCA and PLS: score calculations with incomplete observations	Nelson, Taylor and MacGregor	1996	missing data
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
The treatment of missing measurements in PCA and PLS models	Nelson	2002	missing data
Dealing with missing data: Part II	Walczak and Massart	2001	maximum liklihood missing data multiple imputation tutorial
Batch process improvement using latent variable methods	García-Muñoz	2004	batch multiway thesis
Dealing with missing data: Part I	Walczak and Massart	2001	missing data tutorial
Mixture product design using latent variable methods	Muteki	2006	experiments missing data mixture property multiblock process development
Dealing with missing data in MSPC: several methods, different interpretations, some examples	Arteaga and Ferrer	2002	missing data monitoring
Missing values in principal component analysis	Grung and Manne	1998	missing data multiple imputation PCA
Data-driven soft sensors in the process industry	Kadlec, Gabrys and Strandt	2009	review soft sensors
Latent variable multivariate regression modeling	Burnham, MacGregor and Viveros-Aguilera	1999	error in variables PCR reduced rank regression
Model predictive monitoring for batch processes	García-Muñoz, Kourti and MacGregor	2004	batch missing data
A systematic approach for soft sensor development	Lin, Recke, Knudsen and Jørgensen	2007	robust soft sensors
Missing data	Arteaga and Ferrer	2009	expectation maximization missing data multiple imputation
PLS-regression: a basic tool of chemometrics	Wold, Sjöström and Eriksson	2001	PLS
PCA and PLS with very large data sets	Kettaneh-Wold, Berglund and Wold	2005	adaptive alignment application
Quality control for batch processes using multivariate latent variable methods	Flores-Cerrillo	2003	adaptive batch mid-course correction prior knowledge process control
Industrial batch data analysis using latent variable methods	Rodrigues	2006	alignment batch end point
Development of inferential process models using PLS	Kresta, Marlin and MacGregor	1994	distillation feedback control soft sensors
Batch process modeling and MSPC	Wold, Kettaneh-Wold, MacGregor and Dunn	2009	batch feature extraction monitoring optimization unfolding
Analysis of multiblock and hierarchical PCA and PLS models	Westerhuis, Kourti and MacGregor	1998	deflation hierarchical multiblock
Using on-line process data to improve quality: challenges for statisticians	MacGregor	1997	monitoring review SPC
Mixture designs and models for the simultaneous selection of ingredients and their ratios	Muteki, MacGregor and Ueda	2007	product development
Multi-block PLS modeling for L-shape data structures with applications to mixture modeling	Muteki and MacGregor	2007	blend ratios experiments
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

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