COR calculates the correlation matrix
 X and Y can contain missing values encoded with NaN.
 NaN's are skipped, NaN do not result in a NaN output. 
 (Its assumed that the occurence of NaN's is uncorrelated) 
 The output gives NaN only if there are insufficient input data

 COR(X);
      calculates the (auto-)correlation matrix of X
 COR(X,Y);
      calculates the crosscorrelation between X and Y

 c = COR(...);
 	c is the correlation matrix

 W	weights to compute weighted mean (default: [])
	if W=[], all weights are 1. 
	number of elements in W must match size(x,DIM) 

Package: nan