R Index Page
Keyword Index for the NAG C Library Manual
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
g02eac   Computes residual sums of squares for all possible linear regressions for a set of independent variables
g02eec   Fits a linear regression model by forward selection
g02efc   Stepwise linear 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)
g02jcc   Hierarchical mixed effects regression, initialization function for g02jdc and g02jec
g02jdc   Hierarchical mixed effects regression using Restricted Maximum Likelihood (REML)
g02jec   Hierarchical mixed effects regression using Maximum Likelihood (ML)
g02kac   Ridge regression, optimizing a ridge regression parameter
g02kbc   Ridge regression using a number of supplied ridge regression parameters
g02lac   Partial least squares (PLS) regression using singular value decomposition
g02lbc   Partial least squares (PLS) regression using Wold's iterative method
g02lcc   PLS parameter estimates following partial least squares regression by g02lac or g02lbc
g02ldc   PLS predictions based on parameter estimates from g02lcc
g02qfc   Quantile linear regression, simple interface, independent, identically distributed (IID) errors
g02qgc   Quantile linear regression, comprehensive interface
g08rac   Regression using ranks, uncensored data
g08rbc   Regression using ranks, right-censored data

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

© The Numerical Algorithms Group Ltd, Oxford UK. 2012