A primary goal of computer experiments is to reconstruct the function given by code via scattered evaluations. Traditional isotropic Gaussian process models suffer from curse dimensionality, when input dimension relatively high limited data points. with additive correlation functions are scalable but they more restrictive as only work for functions. In this work, we consider a projection pursui...