Title: Multiple Regression, Principal Components Regression and Partial Least Squares Regression
Abstract: This chapter contains sections titled: Introduction Multivariate Linear Regression The Relation between ANOVA and Regression Analysis Linear Regression Used for Estimating Polynomial Models Combining Continuous and Categorical Variables Variable Selection for Multiple Linear Regression Principal Components Regression (PCR) Partial Least Squares (PLS) Regression Model Validation: Prediction Performance Model Diagnostics and Outlier Detection Discriminant Analysis Generalised Linear Models, Logistic Regression and Multinomial Regression References
Publication Year: 2010
Publication Date: 2010-06-18
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 1
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