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Correlation Coefficients Between Columns Of A Matrix
 Syntax `colcor(`x`)` Syntax `colcor(`x`, `y`)` See Also corrcoef , colcov , colstd , colmean , colmad , colmse

Description
The call `colcor(`x`)` returns a matrix containing the correlation of the columns of x, where x is a real or double-precision matrix. The return value has the same type as x. Each column of x corresponds to a random variable, and each row of x corresponds to a realization. The row and column dimensions of the return value are equal to the column dimension of x. If `C` is the colcov(x) , the `(i, j)`th element of the return value is `C(i,j) / sqrt(C(i,i) C(j,j))`.

Two Arguments
If both x and y are vectors of equal length, `colcor(`x`, `y`)` returns that correlation between the two vectors. To be specific this is the return value is equal to the return value of `colcor(`X`)` where the first column of X contains the elements of the vector x and the second column of X contains the elements of y.

Example ```      x = [{0., 2., 4.}, {0., -1., 1.}]      colcor(x) ``` returns ```      {      [ 1 , 0.5 ]      [ 0.5 , 1 ]      } ```
Mlmode
In Mlmode this function is called `corrcoef` instead of `colcor`. If in Mlmode you enter, ```      x = [ [0 ; 2 ; 4 ], [0 ; -1 ; 1] ];      corrcoef(x) ``` O-Matrix will reply ```      {      [ 1 , 0.5 ]      [ 0.5 , 1 ]      } ```