All entries in "Chemometrics and Intelligent Laboratory Systems"

Title	Author(s)	Year	Tags
PLS-regression: a basic tool of chemometrics	Wold, Sjöström and Eriksson	2001	PLS
Latent-structure decompositions (projections) of multivariate data	Kvalheim	1987	PCA PLS SVD
Interpretation of latent-variable regression models	Kvalheim and Karstang	1989	biplot geometric graphical
Principal component analysis	Wold, Esbensen and Geladi	1987	PCA tutorial
On the variable contributions to the \(D\)-statistic	Alvarez, Brandolin and Sánchez	2007	contribution plots fault diagnosis Hotelling's T2 monitoring SPC
Product optimization and control in the latent variable space of nonlinear PLS models	Yacoub and MacGregor	2004	nonlinear optimization process control process development
Multivariate data analysis applied to low-density polyethylene reactors	Skagerberg, MacGregor and Kiparissides	1992	application monitoring
Multivariate design of process experiments (M-DOPE)	Kettaneh-Wold, MacGregor, Dayal and Wold	1994	application experiments PLS
Process analysis, monitoring and diagnosis, using multivariate projection methods	Kourti and MacGregor	1995	application monitoring tutorial
Multi-way partial least squares in monitoring batch processes	Nomikos and MacGregor	1995	batch monitoring PLS simulation SPC
Automatic masking in multivariate image analysis using support vector machines	Liu, Bharati, Dunn and MacGregor	2005	image machine vision masking SVM
Exponentially weighted moving principal components analysis and projections to latent structures	Wold	1994	adaptive drift EWMA kernel method
Dealing with missing data: Part I	Walczak and Massart	2001	missing data tutorial
Dealing with missing data: Part II	Walczak and Massart	2001	maximum liklihood missing data multiple imputation tutorial
The Mahalanobis distance	De Maesschalck, Jouan-Rimbaud and Massart	2000	Hotelling's T2 tutorial
Missing data methods in PCA and PLS: score calculations with incomplete observations	Nelson, Taylor and MacGregor	1996	missing data
The kernel PCA algorithms for wide data. Part I: theory and algorithms	Wu, Massart and de Jong	1997	kernel method large data
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
SIMPLS: An alternative approach to partial least squares regression	de Jong	1993	PLS theory
Multivariate design and modeling in QSAR	Eriksson and Johansson	1996	D-optimal principle properties QSAR tutorial
Multivariate analysis and optimization of process variable trajectories for batch processes	Duchesne and MacGregor	2000	batch feature extraction optimization
Latent variable multivariate regression modeling	Burnham, MacGregor and Viveros-Aguilera	1999	error in variables PCR reduced rank regression
Analysis of multi-way (multi-mode) data	Geladi	1989	multiway
Missing values in principal component analysis	Grung and Manne	1998	missing data multiple imputation PCA
Image texture analysis: methods and comparisons	Bharati, Liu and MacGregor	2004	appearance feature extraction image

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