how to use shrinkage function r are the three groups in an ordinal classification problem what is r shrinkage for what model would have more predictors than subjects why is it important to do a partial least squares analysis in r? a classification problem is described as when a model is written for a group, what is the correct way to do it? which method will use a matrix algebra for a classification problem? why would a r function be used to discard predictors how many predictors are missing in a polytomous r model why do some predictors need to be used more which method can deal with the missing data in r? how many measures are missing for some predictors what is a classification problem r how many predictors are missing what is the problem with a classification problem with several ordinal groups what is the most common characteristic of each group of measures in r which of the following methods could be implemented to reduce the variability of the r model? how many variables do predictors need to be used in r how to correct for a classification problem with three groups and multiple predictors