The first and simplest inverse least-squares calibration model, also called multiple linear regression, is discussed in detail. Advantages and disadvantages are discussed for a model which today is still in use for some applications. Proposals are given for developing advanced calibration models.
CITATION STYLE
Olivieri, A. C. (2018). The Inverse Least-Squares Model. In Introduction to Multivariate Calibration (pp. 39–56). Springer International Publishing. https://doi.org/10.1007/978-3-319-97097-4_3
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