Measurements of p variables for n samples are collected into a n×p matrix <Emphasis Type="Bold">X, where the samples belong to one of k groups. The group means are separated by Mahalanobis distances. CVA optimally represents the group means of <Emphasis Type="Bold">X in an r-dimensional space. This can be done by maximizing a ratio...</emphasis></emphasis>

Multiple imputation is one of the most highly recommended procedures for dealing with missing data. However, to date little attention has been paid to methods for combining the results from principal component analyses applied to a multiply imputed data set. In this paper we propose Generalized...