# MATLAB: How to fit the data

curve fitting

I havent used curve fitting in matlab, Please someone do help me solve this out….
    46  3.26  450  937  3050  0.51  37  32  135    35  3.48  450  438  1525  0.55  37  28  86    35  3.93  450  194  762  0.66  37  28  54.5    36  3.56  450  857  3050  2.23  37  28  232    35  3.77  450  405  1525  2.36  37  28  138    35  4.05  450  188  762  2.54  37  28  74
The above is few rows of my data. The columns 'A' to 'H' are the input variables and the column 'I' is the output. Using this data, I need to find out an equation that fits the given input and output, using curve fitting in matlab. It has to be done as a recursive procedure and is to be terminated when the 'residual' ie, the difference between the available result and the one found using the equation obtained from curve fitting is a minimum.
i used curve fitting as follows if not this way… please do reply what are the other possible way of doing it…

AI = [46  3.26  450  937  3050  0.51  37  32  135      35  3.48  450  438  1525  0.55  37  28  86      35  3.93  450  194  762  0.66  37  28  54.5      36  3.56  450  857  3050  2.23  37  28  232      35  3.77  450  405  1525  2.36  37  28  138      35  4.05  450  188  762  2.54  37  28      74];AH = AI(:,1:8);I  = AI(:,9);B = AH\I    % Assume linear regression with AH*B = I
B =       2.1354e+000     -33.3235e+000      37.5429e-003      -1.4341e+000     481.3711e-003       7.9226e+000       0.0000e+000       0.0000e+000