ABSTRACT

In this chapter, we provide fundamental knowledge about multivariable models, introduce the application of least squares •tting of multivariate and nonlinear equations, emphasize the importance of multicriterion model assessment, discuss the potential effects of prediction-criterion intercorrelation on model rationality, and outline the bene•ts of assessing residuals for improving prediction accuracy.