NonlinearFit Question
- To: mathgroup at smc.vnet.net
- Subject: [mg16808] NonlinearFit Question
- From: "F. Mittermayr" <mitterma at linz.vai.co.at>
- Date: Tue, 30 Mar 1999 02:35:13 -0500
- Organization: IBM Global Services - Remote Access Mail & News Services
- Sender: owner-wri-mathgroup at wolfram.com
I use the example of the online-help of NonlinearFit. << Statistics`NonlinearFit` data = {{1.0, 1.0, .126}, {2.0, 1.0, .219},{1.0, 2.0, .076}, {2.0, 2.0, .126}, {.1, .0, .186}}; NonlinearFit[data,theta1 theta3 x1 / (1 + theta1 x1 + theta2 x2),{x1, x2}, {theta1, theta2, theta3}] BestFitParameters /. NonlinearRegress[data,theta1 theta3 x1 / (1 + theta1 x1 + theta2 x2), {x1, x2}, {theta1, theta2, theta3},RegressionReport -> BestFitParameters] This works. Does anyone know what happens if I use data = {{1.0,1.0, 1.0, .126}, {1.0,2.0, 1.0, .219},{1.0,1.0, 2.0, .076}, {1.0,2.0, 2.0, .126}, {1.0,.1, .0, .186}}; that means the points in data have one dimension more. The model, the variables and parameters should be the same as in the example above. I get different values for the theta. Why? Does these values make sense? Thanks, Franz mitterma at linz.vai.co.at