| G02CAF
|
Simple linear regression with constant term, no missing values
|
| G02CBF
|
Simple linear regression without constant term, no missing values
|
| G02CCF
|
Simple linear regression with constant term, missing values
|
| G02CDF
|
Simple linear regression without constant term, missing values
|
| G02CEF
|
Service routines for multiple linear regression, select elements from vectors and matrices
|
| G02CFF
|
Service routines for multiple linear regression, re-order elements of vectors and matrices
|
| G02CGF
|
Multiple linear regression, from correlation coefficients, with constant term
|
| G02CHF
|
Multiple linear regression, from correlation-like coefficients, without constant term
|
| G02DAF
|
Fits a general (multiple) linear regression model |
| G02DCF
|
Add/delete an observation to/from a general linear regression model |
| G02DDF
|
Estimates of linear parameters and general linear regression model from updated model |
| G02DEF
|
Add a new variable to a general linear regression model |
| G02DFF
|
Delete a variable from a general linear regression model |
| G02DGF
|
Fits a general linear regression model for new dependent variable
|
| G02DKF
|
Estimates and standard errors of parameters of a general linear regression model for given constraints |
| G02DNF
|
Computes estimable function of a general linear regression model and its standard error |
| G02EEF
|
Fits a linear regression model by forward selection
|
| G02HAF
|
Robust regression, standard M-estimates |
| G02HBF
|
Robust regression, compute weights for use with G02HDF |
| G02HDF
|
Robust regression, compute regression with user-supplied functions and weights |
| G02HFF
|
Robust regression, variance-covariance matrix following G02HDF |
| G08RAF
|
Regression using ranks, uncensored data
|
| G08RBF
|
Regression using ranks, right-censored data
|