diff --git a/.travis.yml b/.travis.yml
index d70b562..5036d41 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -36,6 +36,7 @@ before_script:
 
 script:
   - coverage${PYVERSION} run --source ffx tests/x_square_test.py
+  - coverage${PYVERSION} run --source ffx tests/nonlinear_verbose_test.py
 
 after_success:
   - coveralls
diff --git a/tests/nonlinear_verbose_test.py b/tests/nonlinear_verbose_test.py
new file mode 100644
index 0000000..463d615
--- /dev/null
+++ b/tests/nonlinear_verbose_test.py
@@ -0,0 +1,19 @@
+#!/usr/bin/env python
+
+import numpy as np
+import ffx
+
+# This creates a dataset of 1 predictor
+train_X = np.array([[-5,-4,-3,-2,-1, 0, 1, 2, 3,4,5,6,7,8,9]]).T
+train_y = np.array([4,4,3,2,1, 0, 1, 2, 3,4,4,4,4,4,4])
+test_X = np.array([[10,11,12]]).T
+test_y = np.array([4, 4,4,])
+
+models = ffx.run(train_X, train_y, test_X, test_y, ["x"],verbose = True)
+
+print('True model: y = min(abs(x),4)')
+print('Results:')
+print('Num bases,Test error (%),Model\n')
+for model in models:
+    print('%10s, %13s, %s\n' %
+          ('%d' % model.numBases(), '%.4f' % (model.test_nmse * 100.0), model))