calculate generalized approximate cross validation error (GACV) estimation for SCAD SVM model

1 | ```
findgacv.scad(y, model)
``` |

`y` |
vector of class labels (only for 2 classes) |

`model` |
list, describing SCAD SVM model, produced by function scadsvc |

returns the GACV value

Natalia Becker natalia.becker@dkfz.de

Zhang, H. H., Ahn, J., Lin, X. and Park, C. (2006). * Gene selection using
support vector machines with nonconvex penalty.* Bioinformatics, **22**, pp. 88-95.

Wahba G., Lin, Y. and Zhang, H. (2000). *GACV for support vector machines, or, another way
to look at margin-like quantities, in A. J. Smola, P. Bartlett, B. Schoelkopf and D. Schurmans
(eds)*, Advances in Large Margin Classifiers, MIT Press, pp. 297-309.

`scadsvc`

, `predict.penSVM`

, `sim.data`

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