Hi All,
I have a big dataset (2432rows with 6 variables) looks like below. I would like to minimize the following function to estimate m and n:
sum (a-d-(m-n)*(0.1*a-d)- n* (0.1* (1-b)/c - (1-e)/f))^2
a b c d e f
.40075344 .37627691 13.731348 .94007534 .37627691 19.995316
.40591204 .4084267 7.7112703 .94059122 .4084267 10.944883
Any help would be appreciated! Thanks a lot!