Hi, friends

May I have a small question?

How to calculate the 95% confidence interval (CI) of the parameter of a in the linear equation y = a+bx.
x <- c(1, 2, 3, 4, 5)
y <- c(6, 7.5, 8.8, 12, 12.5)
nls(y ~ a + b*x, start = list(a = 5, b = 1.5))

How to use the abcnon function to calculate the CI of a?

In fact, I want to obtain the CI of a parameter in a non-linear equation. However, the latter is so complicated. Thus, I just ask a similar question in a linear model. So, do not tell me the solution in the traditional linear model methods. Here, I just want to know the case of using the abcnon or abapar in "bootstrap" package.

Thank you very much!