The MDS Procedure

OUT= Data Set

The OUT= data set contains the following variables:

  • BY variables, if any

  • _ITER_ (if the OUTITER option is specified), a numeric variable containing the iteration number

  • _DIMENS_, a numeric variable containing the number of dimensions

  • _MATRIX_ or the variable in the MATRIX statement, identifying the data matrix or subject to which the observation pertains. This variable contains a missing value for observations that pertain to the data set as a whole and not to a particular matrix, such as the coordinates (_TYPE_=‘CONFIG’).

  • _TYPE_, a character variable of length 10 identifying the type of information in the observation

    The values of _TYPE_ are as follows:

    CONFIG

    the estimated coordinates of the configuration of objects

    DIAGCOEF

    the estimated dimension coefficients for COEF=DIAGONAL

    INTERCEPT

    the estimated intercept parameters

    SLOPE

    the estimated slope parameters

    POWER

    the estimated power parameters

    CRITERION

    the badness-of-fit criterion

  • _LABEL_ or the variable in the ID statement, containing the variable label or value of the ID variable of the object to which the observation pertains. This variable contains a missing value for observations that do not pertain to a particular object or dimension.

  • _NAME_, a character variable containing the variable name of the object or dimension to which the observation pertains. This variable contains a missing value for observations that do not pertain to a particular object or dimension.

  • Dim1, …, Dimm, where m is the maximum number of dimensions