How to get variable values from set of of input variable corresponding to the least RMSE of simulated and measured matrices

I created a matrix with 50*6 values between 0 and 1.

w=rand(50,6);
% Definition of parameter range was done as follows: [min,max]=>(max-min)* rdlutp+min.
w1=(2.9-1)*w(:,1)+2; % N
w2=(90-1)*w(:,2)+1; % Cab
w3=(16-5)*w(:,3)+0.5; % Car
w4=(1-0.1)*w(:,4)+0.1; % Cbrown
w5=(0.044-0.004)*w(:,5)+0.004; % Cw
w6=(0.055-0.0005)*w(:,6)+0.0005; %Cm

From this I calculated simulated data. The RMSE of simulated matrix(20 by 6) and measured data(10 by 6) was calculated by looping as follows:

for i = 1:20   %size(reflect_measured)
    for j = 1:50 %size(reflect_simulated)
     RMSE(i,j)=sqrt(mean(((reflect_measured(i) - reflect_simulated(j)).^2)));   
   end
end

So how do I get variable values from set of input variable corresponding to the least RMSE between simulated and measured matrices

Answer 1

[Image Analyst]

leastRMSE = min(RMSE(:)); % Find the minimum RMSE value.

[Cecilia Masemola]

Thank you, But I will also like to know the following: How do I get variable values from set of input variable corresponding to the least RMSE?.

Your assistance would be much appreciated