| anneal | Simulated Annealing Search for an optimal k-variable subset |
| ccr12.coef | First Squared Canonical Correlation for a multivariate linear hypothesis |
| eleaps | A Leaps and Bounds Algorithm for finding the best variable subsets |
| farm | Sixty-two economic indicators from 99 Portuguese farms. |
| gcd.coef | Computes Yanai's GCD in the context of the variable-subset selection problem |
| genetic | Genetic Algorithm searching for an optimal k-variable subset |
| glhHmat | Total and Effect Deviation Matrices for General Linear Hypothesis |
| glhHmat.data.frame | Total and Effect Deviation Matrices for General Linear Hypothesis |
| glhHmat.default | Total and Effect Deviation Matrices for General Linear Hypothesis |
| glhHmat.formula | Total and Effect Deviation Matrices for General Linear Hypothesis |
| glmHmat | Input matrices for subselect search routines in generalized linear models |
| glmHmat.glm | Input matrices for subselect search routines in generalized linear models |
| improve | Restricted Local Improvement search for an optimal k-variable subset |
| ldaHmat | Total and Between-Group Deviation Matrices in Linear Discriminant Analysis |
| ldaHmat.data.frame | Total and Between-Group Deviation Matrices in Linear Discriminant Analysis |
| ldaHmat.default | Total and Between-Group Deviation Matrices in Linear Discriminant Analysis |
| ldaHmat.formula | Total and Between-Group Deviation Matrices in Linear Discriminant Analysis |
| leaps | A Leaps and Bounds Algorithm for finding the best variable subsets |
| lmHmat | Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis |
| lmHmat.data.frame | Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis |
| lmHmat.default | Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis |
| lmHmat.formula | Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis |
| lmHmat.lm | Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis |
| rm.coef | Computes the RM coefficient for variable subset selection |
| rv.coef | Computes the RV-coefficient applied to the variable subset selection problem |
| tau2.coef | Computes the Tau squared coefficient for a multivariate linear hypothesis |
| trim.matrix | Given an ill-conditioned square matrix, deletes rows/columns until a well-conditioned submatrix is obtained. |
| wald.coef | Wald statistic for variable selection in generalized linear models |
| xi2.coef | Computes the Xi squared coefficient for a multivariate linear hypothesis |
| zeta2.coef | Computes the Zeta squared coefficient for a multivariate linear hypothesis |