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diff --git a/R/D24_2014.R b/R/D24_2014.R
index aaed029c..8a077ff1 100644
--- a/R/D24_2014.R
+++ b/R/D24_2014.R
@@ -7,6 +7,9 @@
#' context of pesticide registrations, as the use of the data may be
#' constrained by data protection regulations.
#'
+#' The acronyms used for the 2,4-D transformation products are DCP for
+#' 2,4-dichlorophenol and DCA for 2,4-dichloroanisole.
+#'
#' Data for the first dataset are from p. 685. Data for the other four
#' datasets were used in the preprocessed versions given in the kinetics
#' section (p. 761ff.), with the exception of residues smaller than 1 for DCP
@@ -33,5 +36,25 @@
#' DCP = mkinsub("SFO", to = "DCA"),
#' DCA = mkinsub("SFO"))
#' print(m_D24_2)
+#' D24_2014_data <- lapply(D24_2014$ds, function(x) x$data)
+#' names(D24_2014_data) <- sapply(D24_2014$ds, function(x) x$title)
+#' f_D24_2014_const <- mmkin(
+#' models = list(
+#' "SFO-SFO-SFO" = m_D24,
+#' "DFOP-SFO-SFO" = m_D24_2),
+#' data = D24_2014_data,
+#' quiet = TRUE)
+#' print(f_D24_2014_const)
+#' plot(f_D24_2014_const[, 3])
+#' f_D24_2014_tc <- update(f_D24_2014_const, error_model = "tc")
+#' print(f_D24_2014_tc)
+#' plot(f_D24_2014_tc[, 3])
+#' # For dataset 3, the best fit is obtained using constant
+#' # variance and the DFOP-SFO-SFO model
+#' AIC(
+#' f_D24_2014_const[["SFO-SFO-SFO", 3]],
+#' f_D24_2014_const[["DFOP-SFO-SFO", 3]],
+#' f_D24_2014_tc[["SFO-SFO-SFO", 3]],
+#' f_D24_2014_tc[["DFOP-SFO-SFO", 3]])
#' }
"D24_2014"

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