The MDS Procedure
Unless you specify the NOPHIST option, PROC MDS displays the iteration history containing the following:
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Iteration number
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Type of iteration:
- Initial
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initial configuration
- Monotone
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monotone transformation
- Gau-New
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Gauss-Newton step
- Lev-Mar
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Levenberg-Marquardt step
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Badness-of-Fit Criterion
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Change in Criterion
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Convergence Measures:
- Monotone
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the Euclidean norm of the change in the optimally scaled data divided by the Euclidean norm of the optimally scaled data, averaged across partitions
- Gradient
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the multiple correlation of the Jacobian matrix with the residual vector, uncorrected for the mean
Depending on what options are specified, PROC MDS can also display the following tables:
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Data Matrix and possibly Weight Matrix for each subject
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Eigenvalues from the computation of the initial coordinates
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Sum of Data Weights and Pooled Data Matrix computed during initialization with INAV=DATA
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Configuration, the estimated coordinates of the objects
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Dimension Coefficients
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A table of transformation parameters, including one or more of the following:
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Intercept
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Slope
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Power
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A table of fit statistics for each matrix and possibly each row, including the following:
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Number of Nonmissing Data
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Weight of the matrix or row, permitting both observation weights and standardization factors
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Badness-of-Fit Criterion
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Distance Correlation computed between the distances and data with optimal transformation
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Uncorrected Distance Correlation not corrected for the mean
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Fit Correlation computed after applying the FIT= transformation to both distances and data
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Uncorrected Fit Correlation not corrected for the mean
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