Can the nlm function be used for optimization with multiple variables? How would that work?
For instance: I want to find x and y so that f(x,y) is minimized. How wou
Make a function that receives a vector:
f <- function(X) { x <- X[1] y <- X[2] (x-3.14)^2 + (y-6.28)^2 } nlm(f,c(0.1,0.1))