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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
Principles of proper validation: use and abuse of re-sampling for validation	Esbensen and Geladi	2010	cross validation resampling
Kernel-PCA algorithms for wide data Part II: fast cross-validation and application in classification of NIR data	Wu, Massart and de Jong	1997	application classification cross validation kernel method NIR
Latent variable methods: Case studies in the food industry	Nichols	2011	application classification experiments image NIR product development
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
Kernel-based PLS regression; cross-validation and applications to spectral data	Lindgren, Geladi and Wold	1994	application cross validation image kernel method
Modified jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR)	Martens and Martens	2000	application confidence interval jackknife PLS sensory
Cross-validation in principal component analysis	Krzanowski	1987	cross validation influential observations jackknife PCA variable selection
Cross-validatory estimation of the number of components in factor and principal components models	Wold	1978	cross validation
Cross-validation methods in principal component analysis: A comparison	Diana and Tommasi	2002	cross validation
Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP)	Cruciani, Baroni, Clementi, Costantino, Riganelli and Skagerberg	1992	cross validation PLS prediction error regression
Variable selection in regression - a tutorial	Andersen and Bro	2010	review tutorial variable selection
Multivariate exploratory data analysis and graphics: a tutorial	Weihs	1993	graphical review tutorial visualization
PLS-regression: a basic tool of chemometrics	Wold, Sjöström and Eriksson	2001	PLS
Cross-validation of component models: A critical look at current methods	Bro, Kjeldahl, Smilde and Kiers	2008	cross validation PCA
Comparing alternative approaches for multivariate statistical analysis of batch process data	Westerhuis, Kourti and MacGregor	1999	alignment batch multiway
Industrial batch data analysis using latent variable methods	Rodrigues	2006	alignment batch end point
Cross-validatory choice of the number of components from a principal component analysis	Eastment and Krzanowski	1982	cross validation PCA SVD
Some common misunderstandings in chemometrics	Kjeldahl and Bro	2010	interpretation PCA plots PLS
Robust methods for partial least squares regression	Hubert and Vanden Branden	2003	robust SIMPLS
Partial least squares analysis with cross-validation for the two-class problem: A Monte Carlo study	Ståhle and Wold	1987	cross validation t-test
Multivariate image analysis: A review with applications	Prats-Montalbán, De Juan and Ferrer	2011	hyperspectral image review texture
Development of inferential process models using PLS	Kresta, Marlin and MacGregor	1994	distillation feedback control soft sensors
Quantitative-structure-effect relationship for some technical nonionic surfactants	Lindgren, Sjöström and Wold	1996	experiments QSAR
Missing values in principal component analysis	Grung and Manne	1998	missing data multiple imputation PCA
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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