Simulate OLS

Simulate a y variable for an Ordinary Least Squares (OLS) regression.

Usage

sim_ols(u, xb)

Arguments

u

an error vector

xb

predicted x values as calculated by make_xb()

Value

A numeric vector

References

spreg.dgp.dgp_ols

Examples

u <- make_error(50, method = "normal")
x <- make_x(50)
xb <- make_xb(x, c(1,2))
y <- sim_ols(u, xb)
lm(y ~ x[[1]])
#> 
#> Call:
#> lm(formula = y ~ x[[1]])
#> 
#> Coefficients:
#> (Intercept)       x[[1]]  
#>       1.253        1.898  
#>