% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/predict.R
\name{predict.cve}
\alias{predict.cve}
\title{Predict method for CVE Fits.}
\usage{
\method{predict}{cve}(object, newdata, dim, ...)
}
\arguments{
\item{object}{instance of class \code{cve} (result of \code{cve},
\code{cve.call}).}

\item{newdata}{Matrix of the new data to be predicted.}

\item{dim}{dimension of SDR space to be used for data projecition.}

\item{...}{further arguments passed to \code{\link{mars}}.}
}
\value{
prediced response of data \code{newdata}.
}
\description{
Predict response using projected data where the forward model \eqn{g(B'X)}
is estimated using \code{\link{mars}}.
}
\examples{
# create B for simulation
B <- rep(1, 5) / sqrt(5)

set.seed(21)
# creat predictor data x ~ N(0, I_p)
x <- matrix(rnorm(500), 100)

# simulate response variable
#    y = f(B'x) + err
# with f(x1) = x1 and err ~ N(0, 0.25^2)
y <- x \%*\% B + 0.25 * rnorm(100)

x.train <- x[1:80, ]
x.test  <- x[81:100, ]
y.train <- y[1:80, ]
y.test  <- y[81:100, ]

# calculate cve with method 'simple' for k = 1
cve.obj.simple <- cve(y.train ~ x.train, k = 1) 

# predict y.test from x.test
yhat <- predict(cve.obj.simple, x.test, 1)

# plot prediction against y.test
plot(yhat, y.test)
}
\seealso{
\code{\link{cve}}, \code{\link{cve.call}} and \pkg{\link{mars}}.
}