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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/eaf-package.R
\docType{data}
\name{CPFs}
\alias{CPFs}
\title{Conditional Pareto fronts obtained from Gaussian processes simulations.}
\format{
A data frame with 2967 observations on the following 3 variables.
\describe{
\item{\code{f1}}{first objective values.}
\item{\code{f2}}{second objective values.}
\item{\code{set}}{indices of corresponding conditional Pareto fronts.}
}
}
\source{
\insertRef{BinGinRou2015gaupar}{eaf}
}
\usage{
CPFs
}
\description{
The data has the only goal of providing an example of use of \code{\link[=vorobT]{vorobT()}} and
\code{\link[=vorobDev]{vorobDev()}}. It has been obtained by fitting two Gaussian processes on 20
observations of a bi-objective problem, before generating conditional
simulation of both GPs at different locations and extracting non-dominated
values of coupled simulations.
}
\examples{
data(CPFs)
res <- vorobT(CPFs, reference = c(2, 200))
eafplot(CPFs[,1:2], sets = CPFs[,3], percentiles = c(0, 20, 40, 60, 80, 100),
col = gray(seq(0.8, 0.1, length.out = 6)^2), type = "area",
legend.pos = "bottomleft", extra.points = res$VE, extra.col = "cyan")
}
\keyword{datasets}
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