This chapter discusses the case of regression analysis with multiple predictors. There is not really much new here since model specification and output do not differ a lot from what has been described for regression analysis and analysis of variance. The news is mainly the model search aspect, namely among a set of potential descriptive variables to look for a subset that describes the response sufficiently well.
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