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Title Author(s) Year Tags
Learning from data using latent variable methods Yacoub 2006
Principles of proper validation: use and abuse of re-sampling for validation Esbensen and Geladi 2010
Monitoring batch processes using multiway principal component analysis Nomikos and MacGregor 1994
Application of latent variable methods to process control and multivariate statistical process control in industry Kourti 2005
The Visual Display of Quantitative Information Tufte 2001
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
The remedian: a robust averaging method for large data sets Rousseeuw and Bassett, Jr. 1990
Multivariate calibration Martens and Næs 1989
The Mahalanobis distance De Maesschalck, Jouan-Rimbaud and Massart 2000
Using on-line process data to improve quality: challenges for statisticians MacGregor 1997
Multivariate exploratory data analysis and graphics: a tutorial Weihs 1993
PLS regression methods Höskuldsson 1988
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