This code implements a novel kernel-based mixture of experts model for linear regression. The method is novel in that it formulates the mixture of experts model for linear regression so that kernel functions can be used. This allows the method to work directly in terms of kernels and avoids the explicit introduction of the feature vector, allowing one to use feature spaces of high, even infinite dimensions . The work has been accepted for publication see the "read me" for more info. There is also a function I used to generate some toy data. Just run main to see how it works.