Collinearity and Alternative Estimates
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This chapter deals with problems caused by having predictor variables that are very nearly redundant. It examines estimation methods developed for dealing with those problems and then goes on to introduce a variety of alternatives to least squares estimation including robust and penalized (regularized) estimates. Penalized estimation is discussed in more detail in ALM-III.
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