A new algorithm for latent root regression analysis
نویسندگان
چکیده
New properties of latent root regression are shown aiding insight into the determination of a prediction model. Moreover, a procedure for the determination of a prediction model is discussed. It has similarities to partial least squares and di,er from the latter method only in the way components used as predictors are formed. This procedure is extended to the case where the problem at hand concerns the prediction of more than one variable. The method is illustrated using real data sets. c © 2002 Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Computational Statistics & Data Analysis
دوره 41 شماره
صفحات -
تاریخ انتشار 2002