By default, observations with any missing process variables are simply excluded from the analysis. If you specify MISSING=AVG in the PROC MVPMODEL statement, then all observations in the input data set contribute to both the analysis and the OUT= data set. With MISSING=AVG, the fit is computed by replacing missing values of a process variable with the average of its nonmissing values.