Solving Multivar Non-Linear Regression from a Data Set

I was wondering if there is an easy way to kick out a non-linear multi-variable function regarding the data set attached. I'm attempting to form an explicit equation given relative humidity and temperature to return a grain moisture value. It would look something like

GM(RH,T)= Some math function likely of a high order.

Ref https://www.uaex.edu/publications/pdf/FSA-1074.pdf

Thanks for your help!

Answer 1

[Alex Sha]

try the function below:

z = (p1+p2*x+p3*y)/(1+p4*x+p5*y)+p6;

where z: moisture content; x: temperature; y:humidity

Root of Mean Square Error (RMSE): 0.148437535287715

Sum of Squared Residual: 4.31860556892916

Correlation Coef. (R): 0.999717219678578

Parameter Best Estimate

---------- -------------

p1 1.75848845477413

p2 -0.00979215022577775

p3 0.0393672233260706

p4 -5.7848395094425E-5

p5 -0.00893764367208257

p6 3.09363976785431

[madhan ravi]

Is it MATLAB?