Model Fitting and Uncertainty

Modeling ..........................................................................................188 4.4.4 Principal Components Regression and Partial Least-Squares

Regression ........................................................................................190 Appendix................................................................................................................191 References..............................................................................................................194

This chapter is divided into two main sections, viz. (1) model fitting, featuring the principles of, and examples of, the use of regression models, especially nonlinear regression models, for data sets in food preservation and safety, and comparisons of various modeling approaches and (2) the consequences of uncertainty, i.e., variation in the measurements, and its implications for product shelf life. These sections are designated as 4.2 and 4.3, respectively. The chapter concludes with an epilogue, in which the author raises a few additional issues (Section 4.4).