This project needs to be in Matlab for dimensional reduction.
We have a multidimensional data set (25x50) in which we need to find the best subset to fit a regression.
By using PCA you can extract the top N feature which will fit a regression but the final model will have M inputs with the higher R square and min p values.
The output will show all the regressions combination along R, P-values, coeff
Data is attached
10 freelancers are bidding on average $31 for this job
Hi. I am a professional in applied mathematics. I have many experiences in regression. I am sure I can do it. We can discuss details via chat. I wait for you now. Thanks.