The question is general for all functions, but here is a specific example -

 

# For the logistic regression of the following correlated variables:

C <- c(457,   1371,   4113,  12339,  37017, 111051, 333153, 999459)

E <- c(0.003858377, 0.014334578, 0.014092836, 0.737950754, 0.996371828,
0.997482379, 1.005569257, 0.994382856)

 

#  The nls function:

A = nls(E~(Em*C^p)/(C50^p + C^p), start = list(Em=0.8, p=3, C50=1e3))

 

# Returns the following parameter estimates for Em, p and C50:

Nonlinear regression model

  model:  E ~ (Em * C^p)/(C50^p + C^p) 

   data:  parent.frame() 

          Em            p          C50 

   0.9989113    4.7957189 9934.6481397 

 residual sum-of-squares:  0.0002856567

 

How do I access these parameter values from this output/function so that it
would go into a vector c(Em,p,C50)?


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