X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=doc%2Fregression.texi;h=9f236b8ea0e60fdc09eb8586ebf54f9578961234;hb=b6d66ec3f328d0e8bf35b71f29332695121f7173;hp=9ff569d4d6bbc814c5d6abce895c14bc2f362901;hpb=5f86425ef29d236118667470f2a461818d7e55b2;p=pspp

diff --git a/doc/regression.texi b/doc/regression.texi
index 9ff569d4d6..9f236b8ea0 100644
--- a/doc/regression.texi
+++ b/doc/regression.texi
@@ -1,3 +1,12 @@
+@c PSPP - a program for statistical analysis.
+@c Copyright (C) 2017 Free Software Foundation, Inc.
+@c Permission is granted to copy, distribute and/or modify this document
+@c under the terms of the GNU Free Documentation License, Version 1.3
+@c or any later version published by the Free Software Foundation;
+@c with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
+@c A copy of the license is included in the section entitled "GNU
+@c Free Documentation License".
+@c
 @node REGRESSION
 @section REGRESSION
 
@@ -20,7 +29,7 @@ the @math{k}th explanatory variable.
 
 @item The dependent variable @math{Y} has the following relationship to the 
 explanatory variables:
-@math{Y_i = b_0 + b_1 X_{1i} + ... + b_k X_{ki} + Z_i} 
+@math{Y_i = b_0 + b_1 X_{1i} + ... + b_k X_{ki} + Z_i}
 where @math{b_0, b_1, @dots{}, b_k} are unknown
 coefficients, and @math{Z_1,@dots{},Z_n} are independent, normally
 distributed @dfn{noise} terms with mean zero and common variance.
@@ -46,6 +55,7 @@ REGRESSION
         /VARIABLES=@var{var_list}
         /DEPENDENT=@var{var_list}
         /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV, CI[@var{conf}]@}
+        @{ /ORIGIN | /NOORIGIN @}
         /SAVE=@{PRED, RESID@}
 @end display
 
@@ -61,7 +71,7 @@ are treated as explanatory variables in the linear model.
 
 All other subcommands are optional:
 
-The @subcmd{STATISTICS} subcommand specifies additional statistics to be displayed.
+The @subcmd{STATISTICS} subcommand specifies which statistics are to be displayed.
 The following keywords are accepted:
 
 @table @subcmd
@@ -82,8 +92,17 @@ Analysis of variance table for the model.
 The covariance matrix for the estimated model coefficients.
 @item DEFAULT
 The same as if R, COEFF, and ANOVA had been selected.
+This is what you get if the /STATISTICS command is not specified,
+or if it is specified without any parameters.
 @end table
 
+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