Hi,
I am trying to run the following nonlinear regression model.
> nreg <- nls(y ~ exp(-b*x), data = mydf, start = list(b = 0), alg =
"default", trace = TRUE)
OUTPUT:
24619327 : 0
24593178 : 0.0001166910
24555219 : 0.0005019005
24521810 : 0.001341571
24500774 : 0.002705402
24490713 : 0.004401078
24486658 : 0.00607728
24485115 : 0.007484372
24484526 : 0.008552635
24484298 : 0.009314779
24484208 : 0.009837009
24484172 : 0.01018542
24484158 : 0.01041381
24484152 : 0.01056181
24484150 : 0.01065700
24484149 : 0.01071794
24484148 : 0.01075683
24484148 : 0.01078161
24484148 : 0.01079736
24484148 : 0.01080738
24484148 : 0.01081374
Nonlinear regression model
model: y ~ exp(-b * x)
data: mydf
b
0.01081374
residual sum-of-squares: 24484148
My question is how do I interpret the results of this model.
> profile(nreg)
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
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24484156 :
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24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
24484156 :
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24484156 :
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24484156 :
24484156 :
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24484156 :
24484156 :
24484156 :
24484156 :
Error in prof$getProfile() : number of iterations exceeded maximum of 50
I am unable to understand the error cause. Any pointers would be of great
help.
Regards,
Sachin
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