Message Boards Message Boards

0
|
3940 Views
|
1 Reply
|
0 Total Likes
View groups...
Share
Share this post:

Trouble setting up NonlinearModelFit with multiple independent variables

I am trying to fit a nonlinear model to some data with multiple independent variables. 

My data is imported from .csv file and has the form of "H, P, n, MR" as collumns. My model is   Beta*(H^0.75 + n*P^0.75), where I am trying to fit Beta (a normalization constant)

I tried the following, with no luck. 
nlm1 = NonlinearModelFit[data, B * (HostMass^0.75 + NumPar*ParMass^0.75), {B}]
Any sugestions on how to properly use the syntax?

Thanks, 
Blake Stevison
POSTED BY: Blake Stevison
1 Reply
Sort By:
If you type your code into Mathematica, the first thing you'll notice is that there is a red arrow after {B}. This indicates that there is an argument missing to this function. NonlinearModelFit takes four arguments. 

 - The data in the appropiate format
 - The equation for the statistical model
 - The parameters whose values you are trying to estimate
 - The exogenous (independant) variables in the model
POSTED BY: Sean Clarke
Reply to this discussion
Community posts can be styled and formatted using the Markdown syntax.
Tag limit exceeded
Note: Only the first five people you tag will receive an email notification; the other tagged names will appear as links to their profiles.
Reply Preview
Attachments
Remove
or Discard

Group Abstract Group Abstract