New MVPMONITOR Procedure

The MVPMONITOR procedure produces control charts for multivariate process data. It reads output data sets that contain statistics and principal components model information and that were created by the MVPMODEL procedure. The MVPMONITOR procedure creates two multivariate control charts: charts and SPE (squared prediction error) charts. It can also create contribution plots, in addition to score plots in some cases.

Multivariate control charts detect unusual variation that would not be uncovered by individually monitoring the variables with univariate control charts, such as Shewhart charts. A major impetus in the development of multivariate control charts is the inadequacy of individual univariate control charts when working with correlated measurement variables. A multivariate control chart can detect changes in the linear relationships of the variables in addition to their marginal means and variances.