This is the strategy used in GCV pack. The independent variables and knots are scaled to the specified scale.type. Any argument that is valid for the Krig function. Some of the main ones are listed below. Corresponds to a penalty for increased number of parameters.
Weights are proportional to the reciprocal variance of the measurement error.
The default is no weighting i.e. vector of unit weights. Matrices from the decompositions are returned. The default is T. nstep.cv Number of grid points for minimum GCV search. Centering values are subtracted from each column of the x matrix. Name of y variable return.