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ascii: Correct multiple bugs regarding output width.
[pspp]
/
doc
/
regression.texi
diff --git
a/doc/regression.texi
b/doc/regression.texi
index 9f236b8ea0e60fdc09eb8586ebf54f9578961234..66a7d0e393fc0399e1b5ab6541889a269e041164 100644
(file)
--- a/
doc/regression.texi
+++ b/
doc/regression.texi
@@
-24,10
+24,10
@@
Let @math{X_{11}, X_{12}}, @dots{}, @math{X_{1n}} denote the @math{n} observatio
of the first explanatory variable;
@math{X_{21}},@dots{},@math{X_{2n}} denote the @math{n} observations of the second
explanatory variable;
of the first explanatory variable;
@math{X_{21}},@dots{},@math{X_{2n}} denote the @math{n} observations of the second
explanatory variable;
-@math{X_{k1}},@dots{},@math{X_{kn}} denote the @math{n} observations of
+@math{X_{k1}},@dots{},@math{X_{kn}} denote the @math{n} observations of
the @math{k}th explanatory variable.
the @math{k}th explanatory variable.
-@item The dependent variable @math{Y} has the following relationship to the
+@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}
where @math{b_0, b_1, @dots{}, b_k} are unknown
explanatory variables:
@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
@@
-39,7
+39,7
@@
This relationship is called the @dfn{linear model}.
The @cmd{REGRESSION} procedure estimates the coefficients
@math{b_0,@dots{},b_k} and produces output relevant to inferences for the
The @cmd{REGRESSION} procedure estimates the coefficients
@math{b_0,@dots{},b_k} and produces output relevant to inferences for the
-linear model.
+linear model.
@menu
* Syntax:: Syntax definition.
@menu
* Syntax:: Syntax definition.
@@
-54,7
+54,7
@@
linear model.
REGRESSION
/VARIABLES=@var{var_list}
/DEPENDENT=@var{var_list}
REGRESSION
/VARIABLES=@var{var_list}
/DEPENDENT=@var{var_list}
- /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV, CI[@var{conf}]@}
+ /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV, CI[@var{conf}
, TOL
]@}
@{ /ORIGIN | /NOORIGIN @}
/SAVE=@{PRED, RESID@}
@end display
@{ /ORIGIN | /NOORIGIN @}
/SAVE=@{PRED, RESID@}
@end display
@@
-90,6
+90,8
@@
which must be in parentheses, is the desired confidence level expressed as a per
Analysis of variance table for the model.
@item BCOV
The covariance matrix for the estimated model coefficients.
Analysis of variance table for the model.
@item BCOV
The covariance matrix for the estimated model coefficients.
+@item TOL
+The variance inflation factor and its reciprocal. This has no effect unless COEFF is also given.
@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,
@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,
@@
-106,7
+108,7
@@
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
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}
+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
already exists,
@samp{RES3} if @samp{RES1} and @samp{RES2} already exist, etc. It will
choose the name of
@@
-136,6
+138,6
@@
a 8.838262 -29.25689
b 6.200189 -18.58219
end data.
list.
b 6.200189 -18.58219
end data.
list.
-regression /variables=v0 v1 v2 /statistics defaults /dependent=v2
+regression /variables=v0 v1 v2 /statistics defaults /dependent=v2
/save pred resid /method=enter.
@end example
/save pred resid /method=enter.
@end example