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+\name{mmkin}
+\alias{mmkin}
+\title{
+  Fit one or more kinetic models with one or more state variables to one or more datasets
+}
+\description{
+  This code calls \code{\link{mkinfit}} on each combination of model and dataset
+  given in its first two arguments.
+}
+\usage{
+mmkin(models, datasets,
+      cores = round(detectCores()/2), cluster = NULL, ...)
+}
+\arguments{
+  \item{models}{
+    Either a character vector of shorthand names ("SFO", "FOMC", "DFOP",
+    "HS", "SFORB"), or an optionally named list of \code{\link{mkinmod}}
+    objects.
+  }
+  \item{datasets}{
+    An optionally named list of datasets suitable as observed data for
+    \code{\link{mkinfit}}.
+  }
+  \item{cores}{
+    The number of cores to be used for multicore processing. This is only
+    used when the \code{cluster} argument is \code{NULL}.
+  }
+  \item{cluster}{
+    A cluster as returned by \code{link{makeCluster}} to be used for parallel 
+    execution.
+  }
+  \item{\dots}{
+    Further arguments that will be passed to \code{\link{mkinfit}}. 
+  }
+}
+\value{
+  A matrix of "mkinfit" objects that can be indexed using the 
+  model and dataset names as row and column indices.
+}
+\author{
+  Johannes Ranke
+}
+\examples{
+\dontrun{
+m_synth_SFO_lin <- mkinmod(parent = list(type = "SFO", to = "M1"),
+                           M1 = list(type = "SFO", to = "M2"),
+                           M2 = list(type = "SFO"), use_of_ff = "max")
+
+m_synth_FOMC_lin <- mkinmod(parent = list(type = "FOMC", to = "M1"),
+                           M1 = list(type = "SFO", to = "M2"),
+                           M2 = list(type = "SFO"), use_of_ff = "max")
+
+models <- list(SFO_lin = m_synth_SFO_lin, FOMC_lin = m_synth_FOMC_lin)
+datasets <- lapply(synthetic_data_for_UBA_2014[1:3], function(x) x$data)
+
+time_default <- system.time(fits <- mmkin(models, datasets))
+time_1 <- system.time(fits.1 <- mmkin(models, datasets, cores = 1))
+
+time_default
+time_1
+
+endpoints(fits[["SFO_lin", 2]])
+}
+\keyword{ optimize }