How to compare the closest value in the matrix?

I have the three vectors from the reference values of one vector, i have to choose the closet value among other two vector?

suppose

if R is the reference vector

unknownM =0.8105 1.1581 0.6295 0.9594 0.8447 0.7103 0.8429 0.5372 0.9882 0.8924

then from the other two vector

sudoM =0.7768 1.1883 0.8918 0.6824 1.1393 0.6507 1.3433 1.2419 0.7456 1.1048

grepM = 0.8034 0.7853 1.0771 0.6649 0.5639 0.8384 0.6207 0.6000 0.6896 0.8011

for the first value of unkownM it should select the value of grepM an continous.

[darova]

Can you show the result you expect to see?

[Adam Danz]

The question isn't clear. As darova suggestion, some input/output pairs might be helpful in addition to another explanation of the problem.

Answer 1

[Fabio Freschi]

% your data
unknownM = [0.8105    1.1581    0.6295    0.9594    0.8447    0.7103    0.8429    0.5372    0.9882    0.8924];
sudoM = [0.7768    1.1883    0.8918    0.6824    1.1393    0.6507    1.3433    1.2419    0.7456    1.1048];
grepM = [0.8034    0.7853    1.0771    0.6649    0.5639    0.8384    0.6207    0.6000    0.6896    0.8011];

% preallocation
closest = zeros(size(unknownM));

% errors
errSudoM = abs(sudoM-unknownM);
errGrepM = abs(grepM-unknownM);

% sudoM is closer
idx1 = errSudoM < errGrepM;
closest(idx1) = sudoM(idx1);

% grepM is closer
closest(~idx1) = grepM(~idx1);