g02 - Regression Analysis

Chapter Introduction
g02brc	nag_ken_spe_corr_coeff Kendall and/or Spearman non-parametric rank correlation coefficients, allows variables and observations to be selectively disregarded
g02bxc	nag_corr_cov Product-moment correlation, unweighted/weighted correlation and covariance matrix, allows variables to be disregarded
g02byc	nag_partial_corr Computes partial correlation/variance-covariance matrix from correlation/variance-covariance matrix computed by nag_corr_cov (g02bxc)
g02cac	nag_simple_linear_regression Simple linear regression with or without a constant term, data may be weighted
g02cbc	nag_regress_confid_interval Simple linear regression confidence intervals for the regression line and individual points
g02dac	nag_regsn_mult_linear Fits a general (multiple) linear regression model
g02dcc	nag_regsn_mult_linear_addrem_obs Add/delete an observation to/from a general linear regression model
g02ddc	nag_regsn_mult_linear_upd_model Estimates of regression parameters from an updated model
g02dec	nag_regsn_mult_linear_add_var Add a new independent variable to a general linear regression model
g02dfc	nag_regsn_mult_linear_delete_var Delete an independent variable from a general linear regression model
g02dgc	nag_regsn_mult_linear_newyvar Fits a general linear regression model to new dependent variable
g02dkc	nag_regsn_mult_linear_tran_model Estimates of parameters of a general linear regression model for given constraints
g02dnc	nag_regsn_mult_linear_est_func Estimate of an estimable function for a general linear regression model
g02fac	nag_regsn_std_resid_influence Calculate standardized residuals and influence statistics
g02gac	nag_glm_normal Fits a Generalised linear model with Normal errors
g02gbc	nag_glm_binomial Fits a generalised linear model with binomial errors
g02gcc	nag_glm_poisson Fits a generalised linear model with Poisson errors
g02gdc	nag_glm_gamma Fits a generalised linear model with gamma errors
g02gkc	nag_glm_tran_model Estimates and standard errors of the parameters of a general linear model for given constraints
g02gnc	nag_glm_est_func Estimatable function and the standard error of a generalized linear model
g02hac	nag_robust_m_regsn_estim Robust regression, standard M-estimates
g02hkc	nag_robust_corr_estim Robust estimation of a correlation matrix, Huber's weight function