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
routine
s for multiple linear regression, select elements from vectors and matrices
|
G02CFF
|
Service
routine
s 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 independent variable to a general linear regression model |
G02DFF
|
Delete an independent variable from a general linear regression model |
G02DGF
|
Fits a general linear regression model to 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 |
G02EFF
|
Stepwise linear regression |
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 |
G02JAF
|
Linear mixed effects regression using Restricted Maximum Likelihood (REML) |
G02JBF
|
Linear mixed effects regression using Maximum Likelihood (ML) |
G08RAF
|
Regression using ranks, uncensored data |
G08RBF
|
Regression using ranks, right-censored data |