diff --git a/pyFTS/common/transformations/adaptiveexpectation.py b/pyFTS/common/transformations/adaptiveexpectation.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/common/transformations/boxcox.py b/pyFTS/common/transformations/boxcox.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/common/transformations/differential.py b/pyFTS/common/transformations/differential.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/common/transformations/roi.py b/pyFTS/common/transformations/roi.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/common/transformations/scale.py b/pyFTS/common/transformations/scale.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/common/transformations/transformation.py b/pyFTS/common/transformations/transformation.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/common/transformations/trend.py b/pyFTS/common/transformations/trend.py
new file mode 100644
index 0000000..e69de29
diff --git a/pyFTS/tests/general.py b/pyFTS/tests/general.py
index 24f93c7..6a0a2a8 100644
--- a/pyFTS/tests/general.py
+++ b/pyFTS/tests/general.py
@@ -39,8 +39,8 @@ l = len(dados)
 particionador = Grid.GridPartitioner(data = dados, npart = 10, func = Membership.trimf)
 
 #modelo = pwfts.ProbabilisticWeightedFTS(partitioner = particionador, order = 1)
-#modelo = hofts.WeightedHighOrderFTS(partitioner = particionador, order = 1, standard_horizon=3)
-modelo = chen.ConventionalFTS(partitioner = particionador, standard_horizon=3)
+modelo = hofts.WeightedHighOrderFTS(partitioner = particionador, order = 1, standard_horizon=1, lags=[2])
+#modelo = chen.ConventionalFTS(partitioner = particionador, standard_horizon=3)
 
 modelo.fit(dados)