title: How to find significant correlations in a large dataset
body: <p>I'm using R.
  My dataset has about 40 different Variables/Vektors and each has about 80 entries. I'm trying to find significant correlations, that means I want to pick one variable and let R calculate all the correlations of that variable to the other 39 variables. </p>
  
  <p>I tried to do this by using a linear modell with one explaining variable that means: Y=a*X+b.
  Then the lm() command gives me an estimator for a and p-value of that estimator for a. I would then go on and use one of the other variables I have for X and try again until I find a p-value thats really small.</p>
  
  <p>I'm sure this is a common problem, is there some sort of package or function that can try all these possibilities (Brute force),show them and then maybe even sorts them by p-value?</p>