fitting weibull curve to data using nls

Hi
I'd like to fit an asymmetrical curve function to some physiological data. I've been told a weibull curve is a good place to start, but I'm having trouble specifying and fitting the function with nls and was wondering if someone could help.

After some reading, I think the function specification I want is
y=c*(x/a)^(b-1)*e^(-(x/a)^b)

(from http://www.mathworks.se/products/statistics/demos.html?file=/products/demos/shipping/stats/cfitdfitdemo.html)
Where *a* scales curve along the horizontal axis, *b* defines the curve shape and *c* scales curve on y axis

However, when I try to fit this function using nls I get the following error: 'Error in exp^(-(temp/a)^b) : non-numeric argument to binary operator'

##example dataset
temp<-c(7,9,10,13,13.5,13.5,14,20,22,22,25,25,30,30,35,35,40,40,42,42.5,45,45.6,46,46,47,47,47.5,48,48)
response<-c(0.16,0.17,0.18,0.2,0.18,0.25,0.2,0.344,0.4,0.45,0.628,0.55,0.783,0.7,0.9,0.85,1,1.05,1,0.95,0.982,0.97,0.85,0.9,0.8,0.85,0.7,0.6,0.65)
data<-data.frame(cbind(temp,response))

plot(response~temp,data)

##fit function with nls
m1<-nls(response~(c*((temp/a)^(b-1)))*exp^(-(temp/a)^b),start=list(a=40,b=3,c=1.5),data=data)
##returns following error:
Error in exp^(-(temp/a)^b) : non-numeric argument to binary operator
###
Is this because my starting values are wrong or something amiss with the function specification?

nls(response ~ c*((temp/a)^(b-1))*exp(-(temp/a)^b), start = list(a = 40, b = 3,c = 1.5), data = dd)