| 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 |