| KernSmooth | Functions for kernel smoothing for Wand & Jones (1995) |
| MASS | Main Library of Venables and Ripley's MASS |
| base | The R base package |
| boot | Bootstrap R (S-Plus) Functions (Canty) |
| class | Functions for classification |
| cluster | Functions for clustering (by Rousseeuw et al.) |
| ctest | Classical Tests |
| eda | Exploratory Data Analysis |
| foreign | Read data stored by Minitab, S, SAS, SPSS, Stata, ... |
| grid | The Grid Graphics Package |
| lattice | Lattice Graphics |
| lqs | Resistant Regression and Covariance Estimation |
| methods | Formal Methods and Classes |
| mgcv | Multiple smoothing parameter estimation and GAMs by GCV |
| modreg | Modern Regression: Smoothing and Local Methods |
| mva | Classical Multivariate Analysis |
| nlme | Linear and nonlinear mixed effects models |
| nls | Nonlinear regression |
| nnet | Feed-forward neural networks and multinomial log-linear models |
| rpart | Recursive partitioning |
| spatial | functions for kriging and point pattern analysis |
| splines | Regression Spline Functions and Classes |
| stepfun | Step Functions, including Empirical Distributions |
| survival | Survival analysis, including penalised likelihood. |
| tcltk | Tcl/Tk Interface |
| tools | Tools for package development |
| ts | Time series functions |