how to remove duplicates in correlations matrix

I have this matrix of correlation ;

 ''      'A1'         'A2'         'A3'         'A4'         'A5'         'A6'         'A7'     
    'A1'    [      1]    [ 0.9914]    [ 0.9719]    [-0.9996]    [-0.9898]    [ 0.9927]    [ 0.9927]
    'A2'    [ 0.9914]    [      1]    [ 0.9819]    [-0.9924]    [-0.9993]    [ 0.9999]    [ 0.9999]
    'A3'    [ 0.9719]    [ 0.9819]    [      1]    [-0.9691]    [-0.9842]    [ 0.9810]    [ 0.9809]
    'A4'    [-0.9996]    [-0.9924]    [-0.9691]    [      1]    [ 0.9902]    [-0.9938]    [-0.9939]
    'A5'    [-0.9898]    [-0.9993]    [-0.9842]    [ 0.9902]    [      1]    [-0.9988]    [-0.9988]
    'A6'    [ 0.9927]    [ 0.9999]    [ 0.9810]    [-0.9938]    [-0.9988]    [      1]    [ 1.0000]
    'A7'    [ 0.9927]    [ 0.9999]    [ 0.9809]    [-0.9939]    [-0.9988]    [ 1.0000]    [      1]

I want to eliminte the redundant values to obtain a triangular matrix like this

 ''      'A1'         'A2'         'A3'         'A4'         'A5'         'A6'         'A7'     
    'A1'    [      0]    [ 0.9914]    [ 0.9719]    [-0.9996]    [-0.9898]    [ 0.9927]    [ 0.9927]
    'A2'    [      0]    [      0]    [ 0.9819]    [-0.9924]    [-0.9993]    [ 0.9999]    [ 0.9999]
    'A3'    [      0]    [      0]    [      0]    [-0.9691]    [-0.9842]    [ 0.9810]    [ 0.9809]
    'A4'    [      0]    [      0]    [      0]    [      0]    [ 0.9902]    [-0.9938]    [-0.9939]
    'A5'    [      0]    [      0]    [      0]    [      0]    [      0]    [-0.9988]    [-0.9988]
    'A6'    [      0]    [      0]    [      0]    [      0]    [      0]    [      0]    [ 1.0000]
    'A7'    [      0]    [      0]    [      0]    [      0]    [      0]    [      0]    [      0]

Answer 1

[dpb]

 x=triu(x,1);

Need to convert from N variables to an array to do this effectively. I'd guess that would be beneficial going forward overall besides just this one Q?.