A COMPARISON OF PROCEDURES TO SELECT IMPORTANT VARIABLES FOR DECSRIBING DATASETS

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Authors	ANDRADE José M, HOLÍK Miroslav HALÁMEK Josef
Year of publication	2004
Type	Article in Periodical
Magazine / Source	Talanta
MU Faculty or unit	Faculty of Science
Citation
Field	Physical chemistry and theoretical chemistry
Keywords	Variable selection; Procrustes rotation; Data preprocessing; Robustness; Multicollinearity
Description	A COMPARISON OF PROCEDURES TO SELECT IMPORTANT VARIABLES FOR DECSRIBING DATASETS
Related projects:	Structure and character of bonding, properties and analysis of synthetic and natural molecular ensembles