diff --git a/datasets/mmm_example.csv b/datasets/mmm_example.csv
index 965ab056..d5ca9f3c 100644
--- a/datasets/mmm_example.csv
+++ b/datasets/mmm_example.csv
@@ -1,180 +1,180 @@
-date_week,y,x1,x2,event_1,event_2,dayofyear,t,sin_order_1,cos_order_1,sin_order_2,cos_order_2
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diff --git a/docs/source/index.md b/docs/source/index.md
index 0ade7c4f..7649f1a8 100644
--- a/docs/source/index.md
+++ b/docs/source/index.md
@@ -98,13 +98,12 @@ Start VS Code and ensure that the "Jupyter" extension is installed. Press Ctrl +
 
 ```python
 import pandas as pd
-from pymc_marketing import mmm
+from pymc_marketing.mmm import DelayedSaturatedMMM
 
 
 data_url = "https://raw.githubusercontent.com/pymc-labs/pymc-marketing/main/datasets/mmm_example.csv"
 data = pd.read_csv(data_url, parse_dates=['date_week'])
 
-)
 mmm = DelayedSaturatedMMM(
     date_column="date_week",
     channel_columns=["x1", "x2"],
@@ -112,10 +111,6 @@ mmm = DelayedSaturatedMMM(
         "event_1",
         "event_2",
         "t",
-        "sin_order_1",
-        "cos_order_1",
-        "sin_order_2",
-        "cos_order_2",
     ],
     adstock_max_lag=8,
     yearly_seasonality=2,