Experimental data for finding error model algorithm

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+\name{experimental_data_for_UBA_2019}
+\alias{experimental_data_for_UBA_2019}
+\docType{data}
+\title{
+  Experimental datasets used for development and testing of error models
+}
+\description{
+ The 12 datasets were extracted from active substance evaluation dossiers published
+ by EFSA. Kinetic evaluations shown for these datasets are intended to illustrate
+ and advance error model specifications. The fact that these data and some
+ results are shown here do not imply a license to use them in the context of
+ pesticide registrations, as the use of the data may be constrained by
+ data protection regulations.
+}
+\usage{experimental_data_for_UBA_2019}
+\format{
+  A list containing twelve datasets as an R6 class defined by \code{\link{mkinds}},
+  each containing, among others, the following components
+  \describe{
+    \item{\code{title}}{The name of the dataset, e.g. \code{Soil 1}}
+    \item{\code{data}}{A data frame with the data in the form expected by \code{\link{mkinfit}}}
+  }
+}
+\source{
+  Ranke (2019) Documentation of results obtained for the error model expertise
+  written for the German Umweltbundesamt.
+}
+\examples{\dontrun{
+
+# Model definitions
+sfo_sfo <- mkinmod(
+  parent = mkinsub("SFO", to = "A1"),
+  A1 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
+
+dfop_sfo <- mkinmod(
+  parent = mkinsub("DFOP", to = "A1"),
+  A1 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
+
+sfo_sfo_sfo <- mkinmod(
+  parent = mkinsub("SFO", to = "A1"),
+  A1 = mkinsub("SFO", to = "A2"),
+  A2 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
+
+dfop_sfo_sfo <- mkinmod(
+  parent = mkinsub("DFOP", to = "A1"),
+  A1 = mkinsub("SFO", to = "A2"),
+  A2 = mkinsub("SFO"),
+  use_of_ff = "max"
+)
+d_1_2 <- lapply(experimental_data_for_UBA_2019[1:2], function(x) x$data)
+names(d_1_2) <- paste("Soil", 1:2)
+
+
+f_1_2_tc <- mmkin(list("DFOP-SFO-SFO" = dfop_sfo_sfo), d_1_2, error_model = "tc")
+
+plot(f_1_2_tc, resplot = "errmod")
+
+}}
+\keyword{datasets}