如何在SKlearn中用留一法预测多列的Y？

from sklearn.model_selection import LeaveOneOut
from sklearn.linear_model import LinearRegression

loo = LeaveOneOut()

predictions = []
for train_index, test_index in loo.split(X):
    X_train, X_test = X[train_index], X[test_index]
    y_train, y_test = Y[train_index], Y[test_index]
    
    # 创建模型并进行训练
    model = LinearRegression()
    model.fit(X_train, y_train)
    
    # 预测并保存结果
    y_pred = model.predict(X_test)
    predictions.append(y_pred)

predictions = np.array(predictions)