% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/permutation.R
\name{quick.permuted.fit}
\alias{quick.permuted.fit}
\title{Perform a fast model fit with permuted labels}
\usage{
quick.permuted.fit(data, design, data.labels, ncomp, list.keepX.permuted)
}
\arguments{
\item{data}{Object containing input data blocks.}

\item{design}{DIABLO block relation design matrix.}

\item{data.labels}{Unpermuted data class labels.}

\item{ncomp}{Number of components to use in the model.}

\item{list.keepX.permuted}{Set number of variable to select from each block.}
}
\value{
List containing a representation of the permuted labels, an estimate
of the permutation degree (as stochastically permutation may scramble the
labels more or less thoroughly) and the balanced error rate over one and two
components.
}
\description{
Perform a quick multi-omic model fit to data with permutated class labels.
This does not perform the (slow) step of sparse variable or component number
selection - so may be more approximate.
}