Multi- and megavariate data analysis

By L. Eriksson. 2006

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A review of variable selection methods in Partial Least Squares Regression (2012, background): “It is generally accepted that a variable should be selected if vj>1, [27–29], but a proper threshold between 0.”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, unknown): “Only metabolites with a VIP value of 1 or higher were rated as important (Eriksson et al., 2006).”
Trials and tribulations of 'omics data analysis: assessing quality of SIMCA-based multivariate models using examples from pulmonary medicine. (2013, unknown): “40,41 The relationship between the study subjects (observations) and collected data (variables) is described.”
Botanical discrimination and classification of honey samples applying gas chromatography/mass spectrometry fingerprinting of headspace volatile compounds. (2010, background): “3) where the co-ordinates are the distances to the model values (Moderate outliers, DModX) for the prediction set observations down onto the thyme model (X-axis) and the citrus model (Y-axis) (Eriksson et al., 2001).”