-The EXPORT subcommand causes PSPP to write a C program containing
-functions related to the model. One such function accepts values of
-explanatory variables as arguments, and returns an estimate of the
-corresponding new
-value of the dependent variable. The generated program will also contain
-functions that return prediction and confidence intervals related to
-those new estimates. PSPP will write the program to the
-'filename' given by the user, and write declarations of functions
-to a file called pspp_model_reg.h. The user can then compile the C
-program and use it as part of another program. This subcommand is a
-PSPP extension.
-
-@node Examples, , Syntax, REGRESSION
+The @subcmd{ORIGIN} and @subcmd{NOORIGIN} subcommands are mutually
+exclusive. @subcmd{ORIGIN} indicates that the regression should be
+performed through the origin. You should use this option if, and
+only if you have reason to believe that the regression does indeed
+pass through the origin --- that is to say, the value @math{b_0} above,
+is zero. The default is @subcmd{NOORIGIN}.
+
+The @subcmd{SAVE} subcommand causes @pspp{} to save the residuals or predicted
+values from the fitted
+model to the active dataset. @pspp{} will store the residuals in a variable
+called @samp{RES1} if no such variable exists, @samp{RES2} if @samp{RES1}
+already exists,
+@samp{RES3} if @samp{RES1} and @samp{RES2} already exist, etc. It will
+choose the name of
+the variable for the predicted values similarly, but with @samp{PRED} as a
+prefix.
+When @subcmd{SAVE} is used, @pspp{} ignores @cmd{TEMPORARY}, treating
+temporary transformations as permanent.
+
+@node Examples