Hello there,
I am trying to use R function NLS to analyze my data and one of the examples
in the documentation is -
## the nls() internal cheap guess for starting values can be sufficient:
x <- -(1:100)/10
y <- 100 + 10 * exp(x / 2) + rnorm(x)/10
nlmod <- nls(y ~ Const + A * exp(B * x), trace=TRUE)
plot(x,y, main = "nls(*), data, true function and fit, n=100")
curve(100 + 10 * exp(x / 2), col=4, add = TRUE)
lines(x, predict(nlmod), col=2)
However, when I try to execute this - I get the following error-
Error in nls(y ~ Const + A * exp(B * x), trace = TRUE) :
step factor 0.000488281 reduced below 'minFactor' of 0.000976562
In addition: Warning message:
In nls(y ~ Const + A * exp(B * x), trace = TRUE) :
No starting values specified for some parameters
Can someone propose how I can fix this error? Thanks.
Diviya
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