The simplest first-order multivariate model, based on classical least-squares, is discussed. Important concepts are introduced, which are common to other advanced models, such as the regression coefficients and the first-order advantage. The main limitations of the classical model are detailed.
CITATION STYLE
Olivieri, A. C. (2018). The Classical Least-Squares Model. In Introduction to Multivariate Calibration (pp. 19–38). Springer International Publishing. https://doi.org/10.1007/978-3-319-97097-4_2
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