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Cross‐validation, influential observations and selection of variables in chemometric studies of wines by principal components analysis
Author(s) -
Scarponi Giuseppe,
Moret Ivo,
Capodaglio Gabriele,
Romanazzi Mario
Publication year - 1990
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180040304
Subject(s) - principal component analysis , selection (genetic algorithm) , bilinear interpolation , mathematics , statistics , cross validation , model selection , computer science , artificial intelligence
Cross‐validatory estimation of the bilinear model based on principal components is reviewed and Krzanowski's modification of Wold's procedure is described. Two different types of residuals useful for checking model adequacy are defined and indices measuring the influence of each observed unit on the estimates of the parameters are discussed. A method for the selection of variables derived from Procrustes analysis is described. Results arising from the study of two sets of enological data are given.