import pandas as pd
from sklearn.linear_model import LinearRegression
data = pd.DataFrame({
'A': [1, 2, 3],
'B': ['a', 'b', 'c'],
'C': [0.1, 0.2, 0.3],
'D': [True, False, True]
})
X = data.iloc[:, [0, 2]]
y = data.iloc[:, 3]
model = LinearRegression()
model.fit(X, y)