title: Multivariate calibration.
abstract: The bases of multivariate calibration are presented with special attention to some points usually not considered or underevaluated, i.e., the sampling design, the number of samples necessary to obtain a reliable regression model, the effect of noisy predictors, the significance of the parameters used to evaluate the performance ability of the regression model.
authors.affiliation: Department of Pharmaceutical and Food Chemistry and Technology, University of Genova, Via Brigata Salerno 13, 16147 Genova, Italy. forina@dictfa.unige.it
authors.forename: M
authors.initials: M
authors.lastname: Forina
authors.forename: S
authors.initials: S
authors.lastname: Lanteri
authors.forename: M
authors.initials: M
authors.lastname: Casale
mesh_terms: D002138:Calibration; D015999:Multivariate Analysis