added test

skgstat/Variogram.py

@@ -2290,7 +2290,7 @@ def rmse(self):
 
     @property
     def mse(self):
-        r"""RMSE
+        r"""MSE
 
         Calculate the Mean squared error between the experimental
         variogram and the theoretical model values at corresponding lags.
@@ -2383,6 +2383,7 @@ def nrmse(self):
 
         """
         return self.rmse / np.nanmean(self.experimental)
+
     @property
     def root_mean_square(self):
         """Root Mean Square (RMS) of the residuals
@@ -2395,6 +2396,7 @@ def root_mean_square(self):
             Root Mean Square of the residuals.
         """
         return np.sqrt(np.nanmean(np.square(self.model_residuals)))
+
     @property
     def residual_sum_of_squares(self):
         """Residual Sum of Squares (RSS)
@@ -2411,6 +2413,10 @@ def residual_sum_of_squares(self):
         """
         return np.nansum(np.square(self.model_residuals))
 
+    @property
+    def rss(self):
+        return self.residual_sum_of_squares
+
     @property
     def nrmse_r(self):
         r"""NRMSE

skgstat/tests/test_variogram.py

@@ -1196,6 +1196,11 @@ def test_mse(self):
         V = Variogram(self.c, self.v, n_lags=15)
 
         self.assertAlmostEqual(np.sqrt(V.mse), V.rmse, places=6)
+
+    def test_rss(self):
+        V = Variogram(self.c, self.v, n_lags=15)
+
+        self.assertAlmostEqual(V.rss, 357.76, places=2)
 
     def test_update_kwargs(self):
         V = Variogram(self.c, self.v, percentile=.3)