我有一个下一个结构的数据框：
'data.frame': 29092 obs. of 8 variables:
$ loan_status : int 0 0 0 0 0 0 1 0 1 0 ...
$ loan_amnt : int 5000 2400 10000 5000 3000 12000 9000 3000 10000 1000 ...
$ grade : Factor w/ 7 levels "A","B","C","D",..: 2 3 3 1 5 2 3 2 2 4 .
$ home_ownership: Factor w/ 4 levels "MORTGAGE","OTHER",..: 4 4 4 4 4 3 4 4 4 4
$ annual_inc : num 24000 12252 49200 36000 48000 ...
$ age : int 33 31 24 39 24 28 22 22 28 22 ...
$ ir_cat : Factor w/ 5 levels "0-8","11-13.5",..: 4 5 2 5 5 2 2 4 4 3 .
$ emp_cat : Factor w/ 5 levels "0-15","15-30",..: 1 2 1 1 1 1 1 1 1 1 ...
我运行逻辑回归，目标是预测loan_status，我想对一些新条目使用预测让我们说：
loan_amnt = 4200
grade = C
home_ownership = MORTGAGE
annual_income = 32500
age = 31
ir_cat = "0-8"
emp_cat = "0-15"
让我说我跑
glm（loan_status~。，data = loan_data，family =“binomial”） - ＆gt; glm1
并使用预测：
预测（glm1，newdata，type =“response”）
我的问题是如何将我的新条目添加到newdata？