Dear R users,

I'm trying to fit a set an ODE to an experimental time series. In the 
attachment you find the R code I wrote using modFit and modCost of FME package 
and the file of the time series.

When I run summary(Fit) I obtain this error message, and the values of the 
parameters are equal to the initial guesses I gave  to them.

The problem is not due to the fact that I have only one equation (I tried also 
with more equations, but I still obtain this error).

I would appreciate if someone could help me in understanding the reason of the 
error and in fixing it.

Thanks for your attention,
Paola Lecca.

Here the error:

> summary(Fit)

Parameters:
              Estimate Std. Error t value Pr(>|t|)
pro1_strength        1         NA      NA       NA

Residual standard error: 2.124 on 10 degrees of freedom
Error in cov2cor(x$cov.unscaled) : 'V' is not a square numeric matrix
In addition: Warning message:
In summary.modFit(Fit) : Cannot estimate covariance; system is singular



time    pp1_mrna        
0       0
2       2.754
4       2.958
6       4.058
8       3.41
10      3.459
12      2.453
14      1.234
16      2.385
18      3.691
20      3.252
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to