Re: [R] Linear optimization with quadratic constraints

Small example code to set up the problem? JN On 2017-01-07 06:26 AM, Preetam Pal wrote: > Hi Guys, > Any help with this,please? > Regards, > Preetam > > On Thu, Jan 5, 2017 at 4:09 AM, Preetam Pal wrote: > >> Hello guys, >> >> The context is ordinary multivariate regression with k (>1) regress

Re: [R] Linear optimization with quadratic constraints

I did't really feel like digging through your HTML-contaminated email [1] that has nothing concrete in it, most notably R code and input data, nor an expected result that the code should yield. (Before you protest that you are LOOKING for R code, please go read about reproducible R examples [2]

Re: [R] Linear optimization with quadratic constraints

Hi Guys, Any help with this,please? Regards, Preetam On Thu, Jan 5, 2017 at 4:09 AM, Preetam Pal wrote: > Hello guys, > > The context is ordinary multivariate regression with k (>1) regressors, > i.e. *Y = XB + Error*, where > Y = n X 1 vector of predicted variable, > X = n X (k + 1) matrix of r

[R] Linear optimization with quadratic constraints

Hello guys, The context is ordinary multivariate regression with k (>1) regressors, i.e. *Y = XB + Error*, where Y = n X 1 vector of predicted variable, X = n X (k + 1) matrix of regressor variables(including ones in the first column) B = (k+1) vector of coefficients, including intercept. Say, I