test_olsR: useassert_array_almost_equal instead

due to bug in numpy

Related: numpy/numpy#5200
Signed-off-by: Igor Gnatenko <i.gnatenko.brain@gmail.com>

nipy/algorithms/statistics/models/tests/test_olsR.py

@@ -148,9 +148,9 @@ def test_results():
     M = np.identity(14)
     M = np.array([M[i] for i in [0,1,2,3,4,5,6,8,9,10,11,12,13]])
     Fc = r.Fcontrast(M)
-    yield niptest.assert_almost_equal, Fc.F, f['F'], 6
-    yield niptest.assert_almost_equal, Fc.df_num, f['df_num'], 6
-    yield niptest.assert_almost_equal, Fc.df_den, f['df_den'], 6
+    yield niptest.assert_array_almost_equal, [Fc.F], [f['F']], 6
+    yield niptest.assert_array_almost_equal, [Fc.df_num], [f['df_num']], 6
+    yield niptest.assert_array_almost_equal, [Fc.df_den], [f['df_den']], 6
 
     thetas = []
     sds = []