StatsModels未对齐错误

Question

当我尝试在Statsmodels中运行多变量线性回归时出现错误。当我仅硬编码XData变量中的一个X列时，一切工作正常。

有人可以给我一些建议，因为我在这里缺少什么吗？我将不胜感激。

错误：

ValueError：形状（747,2）和（747,2）不对齐：2（dim 1）！= 747（dim 0）

码：

import pandas as pd
import statsmodels.api as sm
import itertools

data = pd.read_csv("deaconFoodData.csv")

for i in range(2,10,1):
    xCombinations = itertools.combinations(["Food Exp","HH Size","HH Inc","Highest Ed Head","Age Head","Shopping Time","Kid <6","Kid 6-18","Eating Healthy"], i)
    print(str(i) + " variables")
    for combination in xCombinations:

        comb = list(combination)

        print(comb)
        xData = data[["Food Exp", "HH Size"]] # data[comb]
        yData = data["Shopping LH"]
        yData = sm.add_constant(yData, prepend=False)
        print(yData)
        # Fit and summarize OLS model
        mod = sm.OLS(xData, yData)
        res = mod.fit()
        print(res.rsquared)

GitHub链接：https : //github.com/deacons2016/DeaconFood