added regression node to doc build

diff --git a/doc/ChangeLog b/doc/ChangeLog
index 34d1a890faefa8fe9c7dac030dfa4779dcfc36f7..901cf10275b7f5e376a4428be9764c41b0168bdd 100644 (file)
--- a/doc/ChangeLog
+++ b/doc/ChangeLog
@@ -1,3 +1,10 @@
+2006-04-28  Jason Stover  <jhs@math.gcsu.edu>
+
+       * regression.texi: Added description of the RESID and PRED
+       keywords to the SAVE subcommand.
+
+       * statistics.texi: Added REGRESSION node.
+
 2006-04-21  Jason Stover  <jhs@math.gcsu.edu>
 
        * regression.texi: Initial description of the SAVE subcommand.

diff --git a/doc/automake.mk b/doc/automake.mk
index 0ca4fe2ddeccbd5ed47e2f90df34c4c12ea5e77c..4eb3b30016d42dd6cd8e2ff7f00c6bc6ebfcb5b9 100644 (file)
--- a/doc/automake.mk
+++ b/doc/automake.mk
@@ -24,6 +24,7 @@ doc_pspp_TEXINFOS = doc/version.texi \
        doc/q2c.texi \
        doc/statistics.texi \
        doc/transformation.texi \
+       doc/regression.texi \
        doc/utilities.texi \
        doc/variables.texi \
        doc/fdl.texi 

diff --git a/doc/regression.texi b/doc/regression.texi
index 22b9f58ff664c196a574565aeac548983f452f1f..74816307a0be5bc52de227d68db8d79d5c5ec9ba 100644 (file)
--- a/doc/regression.texi
+++ b/doc/regression.texi
@@ -1,4 +1,5 @@
-@node REGRESSION, , ONEWAY, Statistics
+@node REGRESSION, ,ONEWAY, Statistics
+@comment  node-name,  next,  previous,  up
 @section REGRESSION
 
 The REGRESSION procedure fits linear models to data via least-squares
@@ -45,7 +46,7 @@ REGRESSION
         /DEPENDENT=var_list
         /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV@}
         /EXPORT ('file-name')
-        /SAVE
+        /SAVE=@{PRED, RESID@}
 @end display
 
 The @cmd{REGRESSION} procedure reads the active file and outputs
@@ -54,7 +55,7 @@ statistics relevant to the linear model specified by the user.
 The VARIABLES subcommand, which is required, specifies the list of
 variables to be analyzed.  Keyword VARIABLES is required. The
 DEPENDENT subcommand specifies the dependent variable of the linear
-model. The DEPENDENT subcommond is required. All variables listed in
+model. The DEPENDENT subcommand is required. All variables listed in
 the VARIABLES subcommand, but not listed in the DEPENDENT subcommand,
 are treated as explanatory variables in the linear model.
 
@@ -76,10 +77,13 @@ Analysis of variance table for the model.
 The covariance matrix for the estimated model coefficients.
 @end table
 
-The SAVE subcommand causes PSPP to save the residuals from the fitted
+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
 called RES1 if no such variable exists, RES2 if RES1 already exists,
-RES3 if RES1 and RES2 already exist, etc.
+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
+prefix.
 
 The EXPORT subcommand causes PSPP to write a C program containing
 functions related to the model. One such function accepts values of
@@ -95,7 +99,8 @@ PSPP extension.
 
 @node Examples, , Syntax, REGRESSION
 @subsection Examples
-The following PSPP code will generate the default output, and save the
+The following PSPP syntax will generate the default output, save the
+predicted values and residuals to the active file, and save the
 linear model in a program called ``model.c.''
 
 @example
@@ -114,7 +119,8 @@ a  8.838262 -29.25689
 b  6.200189 -18.58219
 end data.
 list.
-regression /variables=v0 v1 v2 /statistics defaults /dependent=v2 /export (model.c) /method=enter.
+regression /variables=v0 v1 v2 /statistics defaults /dependent=v2 
+           /export (model.c) /save pred resid /method=enter.
 @end example
 
 The file pspp_model_reg.h contains these declarations:

diff --git a/doc/statistics.texi b/doc/statistics.texi
index 26266e4e867c5b6420a326e1e73244b193f23b82..2cb79d23e49d7e7d81585cdabb2df944e0284d7e 100644 (file)
--- a/doc/statistics.texi
+++ b/doc/statistics.texi
@@ -14,6 +14,7 @@ far.
 * CROSSTABS::                   Crosstabulation tables.
 * T-TEST::                      Test hypotheses about means.
 * ONEWAY::                      One way analysis of variance.
+* REGRESSION::                  Linear regression.
 @end menu
 
 @node DESCRIPTIVES, FREQUENCIES, Statistics, Statistics
@@ -599,7 +600,7 @@ of variable preceding @code{WITH} against variable following
 @code{WITH} are generated.
 
 
-@node ONEWAY, , T-TEST, Statistics
+@node ONEWAY, REGRESSION, T-TEST, Statistics
 @comment  node-name,  next,  previous,  up
 @section ONEWAY
 
@@ -648,3 +649,5 @@ display a warning, but will proceed with the analysis.
 The @code{CONTRASTS} subcommand may be given up to 10 times in order
 to specify different contrast tests.
 @setfilename ignored
+
+@include regression.texi