Abstract
One of the most common uses of statistical software is for building models, specifically logistic regression models for propensity in the marketing of goods and services. Within the R Project, regression packages are shown in the documentation in both the Econometrics view—http://cran.cnr.berkeley.edu/web/views/Econometrics.html—and the Finance view. A basic summary of all the R functions used for building regression models can be seen at http://cran.r-project.org/doc/contrib/Ricci-refcard-regression.pdf. A very good textbook on the basics of regression is Practical Regression and Anova Using R by Julian J. Faraway (available for free at http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf).
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© 2012 Springer Science+Business Media New York
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Ohri, A. (2012). Building Regression Models. In: R for Business Analytics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4343-8_6
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DOI: https://doi.org/10.1007/978-1-4614-4343-8_6
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