SPSS® 12.0 Command Syntax Reference

SAVE Subcommand
NLR 1053
SAVE is used to save the temporary variables for the predicted values, residuals, and derivatives
created by the model and the derivatives programs.
• The minimum specification is a single keyword.
• The variables to be saved must have unique names on the working data file. If a naming
conflict exists, the variables are not saved.
• Temporary variables, for example, variables created after a TEMPORARY command and
parameters specified by the model program, are not saved in the working data file. They
will not cause naming conflicts.
The following keywords are available and can be used in any combination and in any order.
The new variables are always appended to the working data file in the order in which these
keywords are presented here:
PRED Save the predicted values. The variable’s name, label, and formats are
those specified for it (or assigned by default) in the model program.
RESID [(varname)] Save the residuals variable. You can specify a variable name in parentheses
following the keyword. If no variable name is specified, the
name of this variable is the same as the specification you use for this
keyword. For example, if you use the three-character abbreviation
RES, the default variable name will be RES. The variable has the same
print and write format as the predicted values variable created by the
model program. It has no variable label and no user-defined missing
values. It is system-missing for any case in which either the dependent
variable is missing or the predicted value cannot be computed.
DERIVATIVES Save the derivative variables. The derivative variables are named with
the prefix D. to the first six characters of the parameter names. Derivative
variables use the print and write formats of the predicted values
variable and have no value labels or user-missing values. Derivative
variables are saved in the same order as the parameters named on
MODEL PROGRAM. Derivatives are saved for all parameters, whether
or not the derivative was supplied in the derivatives program.
LOSS Save the user-specified loss function variable. This specification is
available only with CNLR and only if the LOSS subcommand has been
specified.
Asymptotic standard errors of predicted values and residuals, and special residuals used for
outlier detection and influential case analysis are not provided by the [C]NLR procedure.
However, for a squared loss function, the asymptotically correct values for all these statistics
can be calculated using the SAVE subcommand with [C]NLR and then using the REGRESSION
procedure. In REGRESSION, the dependent variable is still the same, and derivatives of the
model parameters are used as independent variables. Casewise plots, standard errors of
prediction, partial regression plots, and other diagnostics of the regression are valid for the
nonlinear model.