Prepares a list with relevant model options and settings based on user choice and problem setup.
dacePrepareFit(S, Y, nugget, regr = regpoly0, corr = corrnoisykriging)known design points. That is, a matrix with n rows (for each point) and dim columns (for each dimension).
vector of observations at known design points of length n.
Value for nugget. Default is -1, which means the nugget will be optimized during MLE.
Correlation function to be used: corrnoisykriging (default), corrkriging, corrnoisygauss, corrgauss, correxp, correxpg, corrlin, corrcubic,corrspherical,corrspline. Can also be user supplied (if in the right form).
a list with several model or problem specific settings and parameters