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

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