如何在 R 中为线性回归模型引入这两个数据集？

Question

For linear regression y_i=ax_i+epsilon. If I want to let x_i from the dataset Air.Flow (represents the rate of operation of the plant) and y_i from stack.loss (the dependent variable) in R.

How can I input these two datasets in R?

For example, the code

 library(BAS)
 data(bodyfat)
 summary(bodyfat)

is to use data set bodyfat from the library BAS . Is there any library for Air.Flow and stack.loss ?

The linear regression is as follows:

Answer 1

You need to get the data first:

df = datasets::stackloss
lm(df$Air.Flow ~ df$stack.loss)