如何在滚动回归中解决此错误？

import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression

# 生成示例数据
np.random.seed(0)
n = 100
time = pd.date_range(start='1/1/2020', periods=n, freq='D')
X = np.random.randn(n, 1)
y = 2 * X + np.random.randn(n, 1)
data = pd.DataFrame({'time': time, 'X': X.flatten(), 'y': y.flatten()})

# 滚动回归函数
def rolling_regression(data, window_size):
    results = []
    for i in range(window_size, len(data)):
        window_data = data.iloc[i-window_size:i]
        X = window_data[['X']]
        y = window_data['y']
        model = LinearRegression()
        model.fit(X, y)
        results.append({
            'time': data.iloc[i]['time'],
            'slope': model.coef_[0][0],
            'intercept': model.intercept_[0]
        })
    return pd.DataFrame(results)

# 执行滚动回归
window_size = 10
results = rolling_regression(data, window_size)
print(results)