The Classical Least-Squares Model
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.
KeywordsClassical least-squares Calibration and validation Matrix inversion First-order advantage Regression coefficients
- Miller, J.N., Miller, J.C.: Statistics and Chemometrics for Analytical Chemistry, 6th edn. Prentice Hall, New York (2010)Google Scholar