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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.