# NOT RUN {
# A 2D example - Branin-Hoo function
# a 16-points factorial design, and the corresponding response
d <- 2; n <- 16
fact.design <- expand.grid(seq(0,1,length=4), seq(0,1,length=4))
fact.design <- data.frame(fact.design); names(fact.design)<-c("x1", "x2")
branin.resp <- data.frame(branin(fact.design)); names(branin.resp) <- "y"
# kriging model 1 : power-exponential covariance structure, no trend,
# no nugget effect
m1 <- km(y~1, design=fact.design, response=branin.resp, covtype="powexp")
m1 # equivalently : show(m1)
# }
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