arunkumar1111 <akpbond...@gmail.com> writes: > In the lm function the summary(lmobject) we have adjusted.r square and f > statistics > > Do we have similar to the pls package and how to get it
No. Both of these requires theory about the model that doesn't exist for PLSR. (I should note that there have been published a couple of generalisations of the degrees of freedom to general regression models, and these could be used to calculate an adjusted R^2. However, they have not been implemented in the pls package.) It seems you would like to use PLSR the way you use OLS, with classical hypothesis tests and performance statistics. This is not how PLSR is usually applied, and there are few such tools. The traditional/typical focus amongst PLSR practicioners is much more on prediction performance (RMSEP) and interpretation by plotting scores and loadings. -- Regards, Bjørn-Helge Mevik ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.