How to write your own non-linear model

[#1]

I need to analyze my data using the Von Bertalanffy Growth function to my data (age vs Length). But I couldn’t figure out where and how to write my own non-linear regression model. Need help. My model is:

a*(1-exp(-(b*(age-c))))

[#2]

You can use the nonlinear platform (found under specialized modeling).  a, b, and c should be entered as parameters (you need to supply initial values) and the platform will fit your model to your data - if it converges.  If not, you might have to change your initial guesses for the parameters.  If you haven't done this before, instead of entering variables in your formula, change the drop down menu from Table Variables to parameters.

[#3]

Thanks for the reply. Could you please check the attached screenshots; I did not get any results  

[#4]

Please have a look at this too: 

[#5]

In the nonlinear launch, you need to put your predictor formula as "predictor" not the age variable.

[#6]

Hi
I followed these steps: Analyze => Nonlinear =>  Model Library => Gompertz model (it is similar to my equation) => Selected Y and X from  my data => then in my  spreadsheet a new column is added and by double clicking on it a new windows open for editing formula. 

But I did not get any output results just like JMP own nonlinear regression  

[#7]

Hi again, 
I want to get output results similar to the attached screenshot from my equation (Von bertalanffy equation). Thanks

[#8 · Accepted solution]

Take a look at the documentation for the Nonlinear platform. The first section walks through an example to show exactly how to do this.

In short, after creating the column with your formula and parameters you put that column in the X, Predictor Role and your response column in the Y role.

 

 The example you've given is from the Fit Curve platform. The output from Nonlinear is similar, though not exactly the same.

[#9]

Thanks for the hints. It works and got the results. But I did not get "Summary of Fit". I also need to get AIC, BIC, R2 etc. to check my model fitness. Thanks once again for the hints. 

[#10]

Dear sir, But, how to get the prediction model and other results like the goodness of fit criteria result like AIC, AICC, BIC, SSE, MSE, RMSE, R-Square, parameter estimate + SE, wald chi-square p-value, upper and lower confidence intervals, 

as well as predicted and residual values, Correlation and Covariance of Estimates