OUT= Data Set

The MDS Procedure

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 of length 8 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