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+# Copyright (C) 2016 Johannes Ranke
+# Contact: jranke@uni-bremen.de
+
+# This file is part of the R package mkin
+
+# mkin is free software: you can redistribute it and/or modify it under the
+# terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more
+# details.
+
+# You should have received a copy of the GNU General Public License along with
+# this program. If not, see <http://www.gnu.org/licenses/>
+
+context("Fitting the FOMC model with large parameter correlation")
+
+# Dataset that I ran across during my work and for which the calculation of the
+# Jacobian failed. Data were slightly fuzzed.
+FOMC_test <- data.frame(
+  name = "test_compound",
+  time = c(0, 14, 31, 59, 91),
+  value = c(45.8, 28.0, 28.5, 35.1, 35.6))
+
+test_that("Fitting with large parameter correlation gives warnings", {
+
+  # When fitting from the maximum, the Port algorithm does not converge (with
+  # default settings)
+  expect_warning(
+    fit.FOMC.Port <- mkinfit("FOMC", FOMC_test, method.modFit = "Port"), 
+    "Optimisation by method Port did not converge")
+
+  # When we use Levenberg-Marquardt, we get a problem estimating the Jacobian
+  # for the untransformed model
+  expect_warning(
+    fit.FOMC.Marq <- mkinfit("FOMC", FOMC_test, method.modFit = "Marq"),
+    "Calculation of the Jacobian failed for the cost function of the untransformed model")
+
+})