Apply cubic or Gaussian or MQ RBF interpolation to a set of new data points for d>1.
# S3 method for RBFinter
predict(rbf.model, newdata, ...)trained RBF model (or set of models), see trainCubicRBF
or trainGaussRBF
matrix or data frame with d columns. Each row contains a data point \(x_i,\ i=1,\ldots,n\)
(not used)
vector of model responses \(s(x_i)\), one element for each data point \(x_i\)
- or -
if rbf.model is a set of m models, a (n x m)-matrix
containing in each row the response \(s_j(x_i)\) of all models
\(j = 1,\ldots,m\) to \(x_i\)