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, reorder elements of vectors and matrices

G02CGF

Multiple linear regression, from correlation coefficients, with constant term

G02CHF

Multiple linear regression, from correlationlike 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 Mestimates 
G02HBF

Robust regression, compute weights for use with G02HDF 
G02HDF

Robust regression, compute regression with usersupplied functions and weights 
G02HFF

Robust regression, variancecovariance matrix following G02HDF 
G08RAF

Regression using ranks, uncensored data

G08RBF

Regression using ranks, rightcensored data
