REGRESSION
/VARIABLES=@var{var_list}
/DEPENDENT=@var{var_list}
- /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV@}
+ /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV, CI[@var{conf}]@}
/SAVE=@{PRED, RESID@}
@end display
All other subcommands are optional:
-The @subcmd{STATISTICS} subcommand specifies the statistics to be displayed:
+The @subcmd{STATISTICS} subcommand specifies additional statistics to be displayed.
+The following keywords are accepted:
-@table @code
+@table @subcmd
@item ALL
All of the statistics below.
@item R
squares for the dependent variable.
@item COEFF
A table containing the estimated model coefficients and their standard errors.
+@item CI (@var{conf})
+This item is only relevant if COEFF has also been selected. It specifies that the
+confidence interval for the coefficients should be printed. The optional value @var{conf},
+which must be in parentheses, is the desired confidence level expressed as a percentage.
@item ANOVA
Analysis of variance table for the model.
@item BCOV
The covariance matrix for the estimated model coefficients.
+@item DEFAULT
+The same as if R, COEFF, and ANOVA had been selected.
@end table
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 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
+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
@subsection Examples