Regression is one of the most common methods to explain and predict data in statistics.
In these pages we won't explain what regression is or how it works: it is assumed that the reader already knows the subject so that he can understand (and maybe correct or improve) the code.
The program (developed in SAS language) has been created to help statisticians who are using large datasets.
The code probably won't find the "Best Model" for a given problem, but can help giving a trace to analyze data.
In these pages we'll describe how to use the procedure and how it works. A detailed description of the code is not provided, but we'll simply describe the method, and input and output information.
To use the program properly, you need to know:
set &in ;
key = _n_;
keep &ludecla key ;
proc genmod data=&in._pt descending NAMELEN=50;|
model &v_risp = / dist = &distribuzione aggregate=(key) ;
output out=&in._dcorr predicted=predetti stdreschi=residui lower=inf upper=sup xbeta=xbet;
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Creation date: 17 Sep 2010
Translation date: 30 Dec 2012
Last change: 17 May 2013
Translation reviewed by Giulia Di Lallo