The MDS Procedure
| Displayed Output |
Unless you specify the NOPHIST option, PROC MDS displays the iteration history containing the following:
Iteration number
-
Type of iteration:
- Initial
initial configuration
- Monotone
monotone transformation
- Gau-New
Gauss-Newton step
- Lev-Mar
Levenberg-Marquardt step
Badness-of-Fit Criterion
Change in Criterion
-
Convergence Measures:
- Monotone
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
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:
Data Matrix and possibly Weight Matrix for each subject
Eigenvalues from the computation of the initial coordinates
Sum of Data Weights and Pooled Data Matrix computed during initialization with INAV=DATA
Configuration, the estimated coordinates of the objects
Dimension Coefficients
-
A table of transformation parameters, including one or more of the following:
Intercept
Slope
Power
-
A table of fit statistics for each matrix and possibly each row, including the following:
Number of Nonmissing Data
Weight of the matrix or row, permitting both observation weights and standardization factors
Badness-of-Fit Criterion
Distance Correlation computed between the distances and data with optimal transformation
Uncorrected Distance Correlation not corrected for the mean
Fit Correlation computed after applying the FIT= transformation to both distances and data
Uncorrected Fit Correlation not corrected for the mean