gbglreg1
Estimate general linear regression model
Usage
gbglreg [options]
Overview
General Linear regression. Data are read in columns (X_1 .. X_N Y). The last column contains the dependent observations. With option -w standard errors associated with the observations can be provided. In this case data are read as (X_1...X_N,Y,std(Y)).
Options
-
-M -
the regression model (default 1)
0
|
with estimated intercept |
|---|---|
1
|
with zero intercept |
-
-w -
consider standard errors
-
-O -
the type of output (default 0)
0
|
regression coefficients |
|---|---|
1
|
regression coefficients and errors |
2
|
x, fitted y, error on y, residual |
3
|
coefficients and variance matrix |
4
|
coefficients and explained variance |
-
-V -
method to estimate variance matrix (default 0)
0
|
ordinary least square estimator |
|---|---|
1
|
heteroscedastic consistent White estimator |
2
|
Hinkley adjusted White estimator |
3
|
Horn-Horn-Duncan adjusted White estimator |
4
|
jacknife estimator |
-
-v -
verbosity level (default 0)
0
|
just output |
|---|---|
1
|
commented headings |
2
|
model details |
-
-h -
print this help
-
-F -
specify the input fields separators (default " \t")
Releases
5 releases since Debian 9 (Stretch); the text changed 3 times.