Abstract
This article reviews the new Automatic Linear Modeling (LINEAR) procedure in SPSS 21.0 and introduces it as a new analytical tool for researchers who regularly use linear regression. To that end, the article uses benchmark applications to examine two of its main features: 1) automatic data preparation and 2) automatic subset selection. Additionally, the article discusses limitations of the LINEAR procedure, ways to improve it, and the model ensemble capability of the procedure as a possible topic for future research. The article concludes with a summary of discussions.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2013 Hongwei Yang (Author)
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