If the DATA= data set contains raw data (rather than a covariance or correlation matrix), in general observations with missing values for any variables in the analysis are omitted from the computations. The only exception is with METHOD=FIML. Observations with missing values are also used for the estimation. If a covariance or correlation matrix is read, missing values are allowed as long as every pair of variables has at least one nonmissing value.