| KernSmooth | Functions for kernel smoothing for Wand & Jones (1995) |
| MASS | Main Package of Venables and Ripley's MASS |
| base | The R Base Package |
| boot | Bootstrap R (S-Plus) Functions (Canty) |
| class | Functions for Classification |
| cluster | Cluster Analysis Extended Rousseeuw et al. |
| codetools | Code Analysis Tools for R |
| datasets | The R Datasets Package |
| foreign | Read Data Stored by Minitab, S, SAS, SPSS, Stata, Systat, dBase, ... |
| grDevices | The R Graphics Devices and Support for Colours and Fonts |
| graphics | The R Graphics Package |
| grid | The Grid Graphics Package |
| lattice | Lattice Graphics |
| methods | Formal Methods and Classes |
| mgcv | GAMs with GCV smoothness estimation and GAMMs by REML/PQL |
| nlme | Linear and Nonlinear Mixed Effects Models |
| 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 |
| stats | The R Stats Package |
| stats4 | Statistical Functions using S4 Classes |
| survival | Survival analysis, including penalised likelihood. |
| tcltk | Tcl/Tk Interface |
| tools | Tools for Package Development |
| utils | The R Utils Package |