R Index Page
Keyword Index for the NAG C Library
NAG C Library Manual

Keyword : regression

g02cac   Simple linear regression with or without a constant term, data may be weighted
g02cbc   Simple linear regression confidence intervals for the regression line and individual points
g02dac   Fits a general (multiple) linear regression model
g02dcc   Add/delete an observation to/from a general linear regression model
g02ddc   Estimates of regression parameters from an updated model
g02dec   Add a new independent variable to a general linear regression model
g02dfc   Delete an independent variable from a general linear regression model
g02dgc   Fits a general linear regression model to new dependent variable
g02dkc   Estimates of parameters of a general linear regression model for given constraints
g02dnc   Estimate of an estimable function for a general linear regression model
g02eec   Fits a linear regression model by forward selection
g02efc   Stepwise linear regression
g02ewc   Monitor function for full stepwise regression
g02hac   Robust regression, standard M-estimates
g02hbc   Robust regression, compute weights for use with g02hdc
g02hdc   Robust regression, compute regression with user-supplied functions and weights
g02hfc   Robust regression, variance-covariance matrix following g02hdc
g02jac   Linear mixed effects regression using Restricted Maximum Likelihood (REML)
g02jbc   Linear mixed effects regression using Maximum Likelihood (ML)
g08rac   Regression using ranks, uncensored data
g08rbc   Regression using ranks, right-censored data

R Index Page
Keyword Index for the NAG C Library
NAG C Library Manual
© The Numerical Algorithms Group Ltd, Oxford UK. 2005