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# Increase rows and cols for better performance gains

SimLM = function(Matrix[Double] X, Matrix[Double] y, Double lamda=0.0001) return (Matrix[Double] beta) 
{
  A = t(X) %*% X + diag(matrix(lamda, rows=ncol(X), cols=1));
  b = t(X) %*% y;
  beta = solve(A, b);

  if (nrow(beta) == ncol(X))
    beta = t(beta) %*% beta;
}

r = 100
c = 10

X = rand(rows=r, cols=c, seed=42);
y = rand(rows=r, cols=1, seed=43);
R = matrix(0, 1, 2);

beta = SimLM(X, y, 0.0001);
R[,1] = beta;

y = y + 1; # to generate cache miss
beta = SimLM(X, y, 0.0001);
R[,2] = beta;

write(R, $1, format="text");