function MyKriging_Gaussian= Regression_Kriging(x,y)
%UNTITLED3 此处显示有关此函数的摘要
%   此处显示详细说明    
    MetaOpts.Type = 'Metamodel';
    MetaOpts.MetaType = 'Kriging';
    MetaOpts.Optim.Method = 'GA';
	MetaOpts.ExpDesign.X = x;
	MetaOpts.ExpDesign.Y = y;
    MetaOpts.Optim.MaxIter=100;
    MetaOpts.EstimMethod='ML';
    MetaOpts.Optim.Tol=1e-6;
    MetaOpts.Optim.GA.nPop=100;
	MetaOpts.Corr.Nugget = 1e-10;
    MetaOpts.Optim.Bounds = [0.001; 10];
    MetaOpts.Corr.Type = 'ellipsoidal';
    MetaOpts.Corr.Family = 'Gaussian';%'Linear';%'matern-5_2';%'exponential';%
    MyKriging_Gaussian = uq_createModel(MetaOpts, '-private');
    
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    %Evaluating Regression results  
end

