On Mon, 14 Mar 2011, Jen wrote:
Hi Bill,
Thanks for your response and I'm sorry -- that was a misleading example of
what I was trying to show. This one should illustrate the point:
require(AER)
data_in = c(0,6,12,18,24,30,36,42,48,54,60,66,72,78)
data_in2 = data_in^2
data_in3 = data_in^3
data_o
Hi Bill,
Thanks for your response and I'm sorry -- that was a misleading example of
what I was trying to show. This one should illustrate the point:
require(AER)
data_in = c(0,6,12,18,24,30,36,42,48,54,60,66,72,78)
data_in2 = data_in^2
data_in3 = data_in^3
data_out =
c(139487.00,13.00,62500.00
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Jen
> Sent: Monday, March 14, 2011 3:27 AM
> To: r-help@r-project.org
> Subject: [R] different regression coeffs with different starting point
>
> Hi
Hi all,
I have a question about the optimisation methods used in nonlinear
regression. I have some data that I would like to fit a tobit regression
model to (see code below). It seems that the solution is very sensitive to
the initial condition that I give it - is there any option to use a
differen
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