/SAVE=@{PRED, RESID@}
@end display
-The @cmd{REGRESSION} procedure reads the active file and outputs
+The @cmd{REGRESSION} procedure reads the active dataset and outputs
statistics relevant to the linear model specified by the user.
The VARIABLES subcommand, which is required, specifies the list of
The SAVE subcommand causes PSPP to save the residuals or predicted
values from the fitted
-model to the active file. PSPP will store the residuals in a variable
+model to the active dataset. PSPP will store the residuals in a variable
called RES1 if no such variable exists, RES2 if RES1 already exists,
RES3 if RES1 and RES2 already exist, etc. It will choose the name of
the variable for the predicted values similarly, but with PRED as a
@node Examples
@subsection Examples
The following PSPP syntax will generate the default output and save the
-predicted values and residuals to the active file.
+predicted values and residuals to the active dataset.
@example
title 'Demonstrate REGRESSION procedure'.