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Predict with Kriging model produced by buildKriging.
# S3 method for kriging
predict(object, newdata, ...)Kriging model (settings and parameters) of class kriging.
design matrix to be predicted
not used
list with predicted mean y, uncertainty / standard deviation s (optional) and expected improvement ei (optional).
Whether s and ei are returned is specified by the vector of strings object$target, which then contains "s" and "ei".
# NOT RUN {
## Create design points
x <- cbind(runif(20)*15-5,runif(20)*15)
## Compute observations at design points (for Branin function)
y <- funBranin(x)
## Create model
fit <- buildKriging(x,y)
fit$target <- c("y","s","ei")
## first estimate error with regressive predictor
predict(fit,x)
# }
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