2018-02-042018-02-042014-01-020003-2670http://hdl.handle.net/2133/10500An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.application/pdf8-26engopenAccessMulti-way CalibrationParallel Factor AnalysisMultivariate Curve ResolutionPartial LeastsquarespublishedVersionUniversidad Nacional de RosarioElsevierEscandar, Graciela MónicaGoicoechea, Héctor CasimiroMuñoz de la Peña, ArsenioOlivieri, Alejandro CésarAttribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)