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+\name{AIC.mmkin}
+\alias{AIC.mmkin}
+\title{
+  Calculated the AIC for a column of an mmkin object
+}
+\description{
+  Provides a convenient way to compare different kineti models fitted to the
+  same dataset.
+}
+\usage{
+  \method{AIC}{mmkin}(object, ..., k = 2)
+}
+\arguments{
+  \item{object}{
+    An object of class \code{\link{mmkin}}, containing only one column.
+  }
+  \item{\dots}{
+    For compatibility with the generic method
+  }
+  \item{k}{
+    As in the generic method
+  }
+}
+\value{
+  As in the generic method (a numeric value for single fits, or a dataframe if
+  there are several fits in the column).
+}
+\examples{
+  f <- mmkin(c("SFO", "FOMC", "DFOP"),
+    list("FOCUS A" = FOCUS_2006_A,
+         "FOCUS C" = FOCUS_2006_C))
+  AIC(f[1, "FOCUS A"]) # We get a single number for a single fit
+
+  # For FOCUS A, the models fit almost equally well, so the higher the number
+  # of parameters, the higher (worse) the AIC
+  AIC(f[, "FOCUS A"])
+  AIC(f[, "FOCUS A"], k = 0) # If we do not penalize additional parameters, we get nearly the same
+
+  # For FOCUS C, the more complex models fit better
+  AIC(f[, "FOCUS C"])
+}
+\author{
+  Johannes Ranke
+}