| avalogpred | Classification with More Than 2 Classes |
| avalogtrn | Classification with More Than 2 Classes |
| classadjust | Classification with More Than 2 Classes |
| coef.lmac | Available Cases Method for Missing Data |
| kmin | Nonparametric Regression and Classification |
| knnest | Nonparametric Regression and Classification |
| knntrn | Classification with More Than 2 Classes |
| l1 | Nonparametric Regression and Classification |
| l2 | Nonparametric Regression and Classification |
| lmac | Available Cases Method for Missing Data |
| loclin | Nonparametric Regression and Classification |
| loglinac | Available Cases Method for Missing Data |
| ltrfreqs | Letter Frequencies |
| makeNA | Available Cases Method for Missing Data |
| meany | Nonparametric Regression and Classification |
| mm | Method of Moments, Including Possible Regression Terms |
| nlshc | Heteroscedastic Nonlinear Regression |
| nonparvarplot | Nonparametric Regression and Classification |
| nonparvsxplot | Nonparametric Regression and Classification |
| ovalogpred | Classification with More Than 2 Classes |
| ovalogtrn | Classification with More Than 2 Classes |
| parvsnonparplot | Nonparametric Regression and Classification |
| pcac | Available Cases Method for Missing Data |
| plot.rlm | Ridge Regression |
| predict.knn | Nonparametric Regression and Classification |
| predict.ovaknn | Classification with More Than 2 Classes |
| preprocessx | Nonparametric Regression and Classification |
| prgeng | Silicon Valley programmers and engineers |
| ridgelm | Ridge Regression |
| tbltofakedf | Available Cases Method for Missing Data |
| vary | Nonparametric Regression and Classification |
| vcov.lmac | Available Cases Method for Missing Data |