Index: /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj
===================================================================
--- /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj	(revision 9497)
+++ /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj	(revision 9498)
@@ -169,4 +169,5 @@
     <Compile Include="OnlineCalculators\DependencyCalculator\SpearmansRankCorrelationCoefficientCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineBoundedMeanSquaredErrorCalculator.cs" />
+    <Compile Include="OnlineCalculators\OnlineCovarianceCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineDirectionalSymmetryCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineMaxAbsoluteErrorCalculator.cs" />
@@ -201,5 +202,4 @@
     <Compile Include="Interfaces\Regression\IRegressionProblemData.cs" />
     <Compile Include="Interfaces\Regression\IRegressionSolution.cs" />
-    <Compile Include="OnlineCalculators\OnlineCovarianceCalcualtor.cs" />
     <Compile Include="OnlineCalculators\OnlineMeanAbsolutePercentageErrorCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineMeanAndVarianceCalculator.cs" />
Index: unk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineCovarianceCalcualtor.cs
===================================================================
--- /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineCovarianceCalcualtor.cs	(revision 9497)
+++ 	(revision )
@@ -1,97 +1,0 @@
-﻿#region License Information
-/* HeuristicLab
- * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
- *
- * This file is part of HeuristicLab.
- *
- * HeuristicLab 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.
- *
- * HeuristicLab 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 HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
- */
-#endregion
-
-using System;
-using System.Collections.Generic;
-
-namespace HeuristicLab.Problems.DataAnalysis {
-  public class OnlineCovarianceCalculator : IOnlineCalculator {
-
-    private double xMean, yMean, Cn;
-    private int n;
-    public double Covariance {
-      get {
-        return n > 0 ? Cn / n : 0.0;
-      }
-    }
-
-    public OnlineCovarianceCalculator() {
-      Reset();
-    }
-
-    #region IOnlineCalculator Members
-    private OnlineCalculatorError errorState;
-    public OnlineCalculatorError ErrorState {
-      get { return errorState; }
-    }
-    public double Value {
-      get { return Covariance; }
-    }
-    public void Reset() {
-      n = 0;
-      Cn = 0.0;
-      xMean = 0.0;
-      yMean = 0.0;
-      errorState = OnlineCalculatorError.InsufficientElementsAdded;
-    }
-
-    public void Add(double x, double y) {
-      if (double.IsNaN(y) || double.IsInfinity(y) || double.IsNaN(x) || double.IsInfinity(x) || (errorState & OnlineCalculatorError.InvalidValueAdded) > 0) {
-        errorState = errorState | OnlineCalculatorError.InvalidValueAdded;
-      } else {
-        n++;
-        errorState = errorState & (~OnlineCalculatorError.InsufficientElementsAdded);        // n >= 1
-
-        // online calculation of tMean
-        xMean = xMean + (x - xMean) / n;
-        double delta = y - yMean; // delta = (y - yMean(n-1))
-        yMean = yMean + delta / n;
-
-        // online calculation of covariance
-        Cn = Cn + delta * (x - xMean); // C(n) = C(n-1) + (y - yMean(n-1)) (t - tMean(n))       
-      }
-    }
-    #endregion
-
-    public static double Calculate(IEnumerable<double> first, IEnumerable<double> second, out OnlineCalculatorError errorState) {
-      IEnumerator<double> firstEnumerator = first.GetEnumerator();
-      IEnumerator<double> secondEnumerator = second.GetEnumerator();
-      OnlineCovarianceCalculator covarianceCalculator = new OnlineCovarianceCalculator();
-
-      // always move forward both enumerators (do not use short-circuit evaluation!)
-      while (firstEnumerator.MoveNext() & secondEnumerator.MoveNext()) {
-        double x = secondEnumerator.Current;
-        double y = firstEnumerator.Current;
-        covarianceCalculator.Add(x, y);
-        if (covarianceCalculator.ErrorState != OnlineCalculatorError.None) break;
-      }
-
-      // check if both enumerators are at the end to make sure both enumerations have the same length
-      if (covarianceCalculator.ErrorState == OnlineCalculatorError.None &&
-          (secondEnumerator.MoveNext() || firstEnumerator.MoveNext())) {
-        throw new ArgumentException("Number of elements in first and second enumeration doesn't match.");
-      } else {
-        errorState = covarianceCalculator.ErrorState;
-        return covarianceCalculator.Covariance;
-      }
-    }
-  }
-}
Index: /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineCovarianceCalculator.cs
===================================================================
--- /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineCovarianceCalculator.cs	(revision 9498)
+++ /trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineCovarianceCalculator.cs	(revision 9498)
@@ -0,0 +1,97 @@
+﻿#region License Information
+/* HeuristicLab
+ * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
+ * This file is part of HeuristicLab.
+ *
+ * HeuristicLab 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.
+ *
+ * HeuristicLab 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 HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
+ */
+#endregion
+
+using System;
+using System.Collections.Generic;
+
+namespace HeuristicLab.Problems.DataAnalysis {
+  public class OnlineCovarianceCalculator : IOnlineCalculator {
+
+    private double xMean, yMean, Cn;
+    private int n;
+    public double Covariance {
+      get {
+        return n > 0 ? Cn / n : 0.0;
+      }
+    }
+
+    public OnlineCovarianceCalculator() {
+      Reset();
+    }
+
+    #region IOnlineCalculator Members
+    private OnlineCalculatorError errorState;
+    public OnlineCalculatorError ErrorState {
+      get { return errorState; }
+    }
+    public double Value {
+      get { return Covariance; }
+    }
+    public void Reset() {
+      n = 0;
+      Cn = 0.0;
+      xMean = 0.0;
+      yMean = 0.0;
+      errorState = OnlineCalculatorError.InsufficientElementsAdded;
+    }
+
+    public void Add(double x, double y) {
+      if (double.IsNaN(y) || double.IsInfinity(y) || double.IsNaN(x) || double.IsInfinity(x) || (errorState & OnlineCalculatorError.InvalidValueAdded) > 0) {
+        errorState = errorState | OnlineCalculatorError.InvalidValueAdded;
+      } else {
+        n++;
+        errorState = errorState & (~OnlineCalculatorError.InsufficientElementsAdded);        // n >= 1
+
+        // online calculation of tMean
+        xMean = xMean + (x - xMean) / n;
+        double delta = y - yMean; // delta = (y - yMean(n-1))
+        yMean = yMean + delta / n;
+
+        // online calculation of covariance
+        Cn = Cn + delta * (x - xMean); // C(n) = C(n-1) + (y - yMean(n-1)) (t - tMean(n))       
+      }
+    }
+    #endregion
+
+    public static double Calculate(IEnumerable<double> first, IEnumerable<double> second, out OnlineCalculatorError errorState) {
+      IEnumerator<double> firstEnumerator = first.GetEnumerator();
+      IEnumerator<double> secondEnumerator = second.GetEnumerator();
+      OnlineCovarianceCalculator covarianceCalculator = new OnlineCovarianceCalculator();
+
+      // always move forward both enumerators (do not use short-circuit evaluation!)
+      while (firstEnumerator.MoveNext() & secondEnumerator.MoveNext()) {
+        double x = secondEnumerator.Current;
+        double y = firstEnumerator.Current;
+        covarianceCalculator.Add(x, y);
+        if (covarianceCalculator.ErrorState != OnlineCalculatorError.None) break;
+      }
+
+      // check if both enumerators are at the end to make sure both enumerations have the same length
+      if (covarianceCalculator.ErrorState == OnlineCalculatorError.None &&
+          (secondEnumerator.MoveNext() || firstEnumerator.MoveNext())) {
+        throw new ArgumentException("Number of elements in first and second enumeration doesn't match.");
+      } else {
+        errorState = covarianceCalculator.ErrorState;
+        return covarianceCalculator.Covariance;
+      }
+    }
+  }
+}
