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| abcq | American Business Cycle |
| boston | Boston data |
| decode | Decodes the number of a subset selected by fmch to give the covariates |
| decomp | decompose a given interaction ic into its component parts |
| dentx | Dental data, the 13 covariates, the dependent variable ist denty |
| denty | Dental data, hardness of gold fillings, the corresponding 13 covariates are dentx |
| f1st | Stepwise selection of covariates |
| f2st | Repeated stepwise selection of covariates |
| fgeninter | Generation of interactions |
| fgentrig | generation of sine and cosine functions |
| fgr1st | Calculates an independence graph using stepwise selection |
| fgr2st | Calculates an independence graph using repeated stepwise selection |
| flag | Calculation of lagged covariates |
| fmch | Calculates all subsets where each included covariate is significant. |
| fpval | Calculates the regression coefficients, the P-values and the standard P-values for the chosen subset ind |
| frmch | Robust selection of covariates using Huber's psi-funtion or Hampel's redescending psi-function based on all subsets |
| frrg | Robust regression using Huber's psi-function or Hampel's redescending psi-function without P-values |
| frrgp | Robust regression using Huber's psi-function or Hampel's three part redescending psi-function providing P-values |
| frst | Robust stepwise selection of covariates |
| fselect | Selects the subsets specified by fmch and fmch1. |
| fsimords | Simulates the number of false positives for given dimensions (n,k) and given order statistics nu |
| lx.original | Leukemia data |
| ly.original | Leukemia data |
| mel_temp | Melbourne minimum temperature |
| redwine | Redwine data |
| snspt | Sunspot data |