Dear Dr. Ngozi ADELEYE ,

Hi,

You seem to be dealing with numerous groups with multiple variables. Therefore, it is better to use multivariate discrimination methods such as PCA, DCA, or NMDS. For this objective, you can use NTSYS-pc, PC-ord which is user-friendly software. Also, you can try R program such as r-cran packages listed below

https://cran.r-project.org/web/packages/available_packages_by_name.html

Best regards,

Saeed

Dear Dr. Ngozi ADELEYE ,

For economic data analysis you can try FactoMineR package, if you can work with R program.

Best,

Saeed

I suggest minitab because it has a facility for multivariate analysis which is what you will be involved in. Also it is user-friendly.

Dear,

I just tried ioanalysis package for R and it seem do a great job for me.

best

Hi Ngozi ADELEYE

You can try PyIO (Python Module for Input-Output Analysis)

http://www.real.illinois.edu/pyio/

Thank you all for the constructive and impacting feedback. I will go through and familiarize myself with the resources and hopefully use those new techniques I can easily learn.

God bless you all!

...gracias!

I suggest Scilab (https://www.scilab.org), an open source and multi-platform alternative with a very intuitive syntax. It is also particularly well-suited for matrix algebra applications.

Another option is R. Here is a page with tutorials and technical applications https://viniciusvale.github.io/NEDUR/IP-R.html. Phyton is also an option, a good reference is http://www.real.illinois.edu/pyio/.

I suggest Matlab (suitable for matrix algebra) or Python (see http://www.real.illinois.edu/pyio/ and https://pymrio.readthedocs.io/en/latest/)

Thanks for the suggestion Maria Markaki , deeply appreciated!

I use MATLAB for input-output data related estimations.

Most analysis I've seen uses Excel and Matlab. REAL at Illinois may have further good resources - http://www.real.illinois.edu/