> The Spider Objects

>       GPROC Gaussian-Process object

>        A=GPROC(hyper) returns a GPROCobject initialized with hyperparameters hyper.
>        minimize log-likelihood for length runs

>         Hyperparameters, and their defaults

>          child=kernel;        -- the kernel is stored as a member called "child"
>          length=50            -- default maximum length lines searches

>         Model
>         H			-- covariance hyperparameters
>         var			-- predictive variances

>         Methods:

>          train, test

> | Reference : Gaussian Processes A Replacement for Supervised Neural Networks

> | Author : David J.C. MacKay

> | Link : http://citeseer.ist.psu.edu/mackay97gaussian.html