> The Spider Objects

>       Multivariate Regression via Stiefel Constraints

>        author : gb
>        ostart=[];        possible start output features  for optimization
>        qstart=[];        possible start input features  for optimization
>        sstart=[];        possible start weighting
>         w0 initial guess: ostart * sstart *qstart'

>        Final model :
>        o=[];
>        s=[];
>        q=[];
>        w=[];

>        Hyper params :
>        gamma = 0;        regularization parameter
>        k=5;              allowed components
>        conv_eps=1e-3;    optimization criteria

>        Example:
>         [r,a]=train(mrs,toyreg);
>         loss(test(a,toy))

> | Reference : Multivariate Regression via Stiefel Constraints

> | Author : Gökhan H. BakIr , Arthur Gretton , Bernhard Schölkopf

> | Link : ----------------------------------------------------------------