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The MDS Procedure |
Missing data in the similarity or dissimilarity matrices are ignored in fitting the model and are omitted from the OUTRES= data set. Any matrix that is completely missing is omitted from the analysis.
Missing weights are treated as 0.
Missing values are also allowed in the INITIAL= data set, but a large number of missing values may yield a degenerate initial configuration.
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