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Launch the Multivariate platform by selecting Analyze > Multivariate Methods > Multivariate.
Figure 3.2 The Multivariate Launch Window
Specifies the method for calculating the correlations. REML and Pairwise are the methods used most frequently. Several of these methods address the treatment of missing data. You can also estimate missing values by using the estimated covariance matrix, and then using the Impute Missing Data command. See Impute Missing Data.
The Default option uses either the Row-wise, Pairwise, or REML methods.
Row-wise estimation is used for data tables with no missing values.
Pairwise estimation is used for data tables with missing values and either more than 10 columns, more than 5,000 rows, or more columns than rows.
REML estimation is used otherwise.
Select a format option for the Scatterplot Matrix. The Square option displays plots for all ordered combinations of columns. Lower Triangular displays plots below the diagonal, with the first n - 1 columns on the horizontal axis. Upper Triangular displays plots above the diagonal, with the first n - 1 columns on the vertical axis.

Help created on 3/19/2020