| alcohol | Alcohol data |
| algae | Algae data |
| biochem | Biochem data |
| bisquare | Tuning parameter the rho loss functions |
| breslow.dat | Breslow Data |
| bus | Bus data |
| BYlogreg | Bianco and Yohai estimator for logistic regression |
| cov.dcml | Approximate covariance matrix of the DCML regression estimator. |
| covClassic | Classical Covariance Estimation |
| covRob | Robust multivariate location and scatter estimators |
| covRobMM | MM robust multivariate location and scatter estimator |
| covRobRocke | Rocke's robust multivariate location and scatter estimator |
| DCML | DCML regression estimator |
| drop1.lmrobdetMM | RFPE of submodels of an 'lmrobdetMM' fit |
| fastmve | Minimum Volume Ellipsoid covariance estimator |
| flour | Flour data |
| glass | Glass data |
| hearing | Hearing data |
| huber | Tuning parameter the rho loss functions |
| image | Image data |
| initPP | Robust multivariate location and scatter estimators |
| INVTR2 | Robust R^2 coefficient of determination |
| KurtSDNew | Robust multivariate location and scatter estimators |
| leuk.dat | Leukemia Data |
| lmrobdet.control | Tuning parameters for lmrobdetMM and lmrobdetDCML |
| lmrobdetDCML | Robust Distance Constrained Maximum Likelihood estimators for linear regression |
| lmrobdetLinTest | Robust likelihood ratio test for linear hypotheses |
| lmrobdetMM | Robust Linear Regression Estimators |
| lmrobdetMM.RFPE | Robust Final Prediction Error |
| lmrobM | Robust estimators for linear regression with fixed designs |
| lmrobM.control | Tuning parameters for lmrobM |
| locScaleM | Robust univariate location and scale M-estimators |
| logregBY | Bianco and Yohai estimator for logistic regression |
| logregWBY | Bianco and Yohai estimator for logistic regression |
| logregWML | Weighted likelihood estimator for the logistic model |
| mineral | Mineral data |
| MLocDis | Robust univariate location and scale M-estimators |
| MMPY | MM regression estimator using Pen~a-Yohai candidates |
| MMultiSHR | MM robust multivariate location and scatter estimator |
| mopt | Tuning parameter for a rho function in the modified (asymptotic bias-) optimal family |
| moptv0 | Tuning parameter for a rho function in the modified (asymptotic bias-) optimal family |
| mscale | M-scale estimator |
| Multirobu | Robust multivariate location and scatter estimators |
| neuralgia | Neuralgia data |
| oats | Oats data |
| opt | Tuning parameter for a rho function in the (asymptotic bias-) optimal family |
| optv0 | Tuning parameter for a rho function in the (asymptotic bias-) optimal family |
| pcaRobS | Robust principal components |
| prcompRob | Robust Principal Components Cont'd |
| refine.sm | IRWLS iterations for S- or M-estimators |
| resex | Resex data |
| rho | Rho functions |
| rhoprime | The first derivative of the rho function |
| rhoprime2 | The second derivative of the rho function |
| rob.linear.test | Robust likelihood ratio test for linear hypotheses |
| RockeMulti | Rocke's robust multivariate location and scatter estimator |
| scaleM | M-scale estimator |
| shock | Shock data |
| skin | Skin data |
| SMPCA | Robust principal components |
| SMPY | SM regression estimator using Pen~a-Yohai candidates |
| stackloss | Stackloss data |
| step.lmrobdet | Robust stepwise using RFPE |
| step.lmrobdetMM | Robust stepwise using RFPE |
| vehicle | Vehicle data |
| waste | Waste data |
| WBYlogreg | Bianco and Yohai estimator for logistic regression |
| wine | Wine data |
| WMLlogreg | Weighted likelihood estimator for the logistic model |