coef.enetLTS            coefficients from the 'enetLTS' object
cv.enetLTS              Cross-validation for the 'enetLTS' object
enetLTS                 Robust and Sparse Methods for High Dimensional
                        Linear and Binary and Multinomial Regression
fitted.enetLTS          the fitted values from the '"enetLTS"' object.
lambda00                Upper limit of the penalty parameter for
                        'family="binomial"'
nonzeroCoef.enetLTS     nonzero coefficients indices from the
                        '"enetLTS"' object
plot.enetLTS            plots from the '"enetLTS"' object
plotCoef.enetLTS        coefficients plots from the '"enetLTS"' object
plotDiagnostic.enetLTS
                        diagnostics plots from the '"enetLTS"' object
plotResid.enetLTS       residuals plots from the '"enetLTS"' object
predict.enetLTS         make predictions from the '"enetLTS"' object.
print.enetLTS           print from the '"enetLTS"' object
residuals.enetLTS       the residuals from the '"enetLTS"' object
weights.enetLTS         binary weights from the '"enetLTS"' object
