diff --git a/GPy/core/parameterization/observable_array.py b/GPy/core/parameterization/observable_array.py
index a280d74f..5b8aa1cd 100644
--- a/GPy/core/parameterization/observable_array.py
+++ b/GPy/core/parameterization/observable_array.py
@@ -1,7 +1,7 @@
 # Copyright (c) 2012, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-__updated__ = '2014-04-15'
+__updated__ = '2014-05-12'
 
 import numpy as np
 from parameter_core import Observable, Pickleable
@@ -15,10 +15,10 @@ class ObsAr(np.ndarray, Pickleable, Observable):
     """
     __array_priority__ = -1 # Never give back ObsAr
     def __new__(cls, input_array, *a, **kw):
+        # allways make a copy of input paramters, as we need it to be in C order:
         if not isinstance(input_array, ObsAr):
-            obj = np.atleast_1d(np.require(input_array, dtype=np.float64, requirements=['W', 'C'])).view(cls)
+            obj = np.atleast_1d(np.require(np.copy(input_array), dtype=np.float64, requirements=['W', 'C'])).view(cls)
         else: obj = input_array
-        #cls.__name__ = "ObsAr" # because of fixed printing of `array` in np printing
         super(ObsAr, obj).__init__(*a, **kw)
         return obj
 
diff --git a/GPy/core/parameterization/param.py b/GPy/core/parameterization/param.py
index 1c67b9d9..3ccbd169 100644
--- a/GPy/core/parameterization/param.py
+++ b/GPy/core/parameterization/param.py
@@ -45,7 +45,6 @@ class Param(OptimizationHandlable, ObsAr):
     _parameters_ = []
     def __new__(cls, name, input_array, default_constraint=None):
         obj = numpy.atleast_1d(super(Param, cls).__new__(cls, input_array=input_array))
-        cls.__name__ = "Param"
         obj._current_slice_ = (slice(obj.shape[0]),)
         obj._realshape_ = obj.shape
         obj._realsize_ = obj.size
@@ -112,8 +111,8 @@ class Param(OptimizationHandlable, ObsAr):
     def __getitem__(self, s, *args, **kwargs):
         if not isinstance(s, tuple):
             s = (s,)
-        if not reduce(lambda a, b: a or numpy.any(b is Ellipsis), s, False) and len(s) <= self.ndim:
-            s += (Ellipsis,)
+        #if not reduce(lambda a, b: a or numpy.any(b is Ellipsis), s, False) and len(s) <= self.ndim:
+        #    s += (Ellipsis,)
         new_arr = super(Param, self).__getitem__(s, *args, **kwargs)
         try: new_arr._current_slice_ = s; new_arr._original_ = self.base is new_arr.base
         except AttributeError: pass  # returning 0d array or float, double etc