Variable Reduction for Modeling using PROC VARCLUS

@inproceedings{Nelson2001VariableRF,
  title={Variable Reduction for Modeling using PROC VARCLUS},
  author={Bryan Nelson},
  year={2001}
}
Most direct mail and e-commerce companies have hundreds if not thousands of variables for each customer on their database. When statisticians try to build segmentation or other types of models with a large number of variables, it becomes difficult to figure out the correct relationships between the dependent and independent variables. In fact, when redundant variables are included in some of the model building procedures, the model can degrade the segmentation model by: destabilizing the… CONTINUE READING

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