Key points are not available for this paper at this time.
Introduction 1. Simple linear regression 2. Multiple regression and calibration 3. Regularized multiple regression 4. Multivariate calibration 5. Regession on curves 6. Non-linearity and selection 7. Pattern recognition A. Distribution theory B. Conditional inference C. Regularization dominance E. Partial least-squares algorithm Bibliography Index
Gleser et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: