Obtaining Predictions from a 2-class Regression
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چکیده
The data consists of liking ratings on each of 6 different orange juice (OJ) products by 96 judges. Each of the 6 juices is also described by 16 physico-chemical attributes. In addition, the data contains classification information for weighting the judges according to their (posterior membership) probability of being in two different segments which have distinctly different OJ preferences. (click here for details of the random intercept latent class (LC) regression analysis used to obtain these posterior membership probabilities).
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تاریخ انتشار 2013