If you want to calculate the value "Y", for any certain combination of { X1, X2, X3,X4 } you can look into linear regression. Also as your data has "NaN" values, you should use remmissing to remove missing values out from your data. Also consider looking into feval for evaluation of function value.
data = readtable("Example.xlsx");
X = cell(4,1);
for i =1:4
X{i} = data(:,i);
end
data = table2array(rmmissing(data));
Y = data(:,5);
mdl = fitlm(data(:,1:4), Y)
output = feval(mdl, 2.2,28,180,3);
The above code is just a simple implementation, you can look into the linear regression documentation for additional information.
Hope this helps.
