You try JMP trial version. Recently, you can use it within one month. But you understand top level of statistical software, Next, you check other free soft. 

Dear Shuichi,

I have been downloading it now, Its the first time to use this software. Is it easy or difficult to understand ?

Can't it be performed using R?

I agree with Pelumi, you can use R if you know the syntax but you can equally use Stata, SPSS or Minitab

Dear Essam

JMP is the most easy software in the world, but it concept is different from others.

You can read Excel in JMP.

The variables are categorized in nominal, interval scale and continue scale.

You drop these variables into the box of analysis and JMP output all informations.

You choose those you need..

Epi Info (http://wwwn.cdc.gov/epiinfo/)

Dear Essam,

can you specify your question regarding the dimensions of Y (response) and X (set of covariates)? Are you looking for an statistical software that performs multivariate analysis in terms of a multivariate response (dim(y): n x k) or to handle multiple covariates in regression-type analysis (dim(y): n x 1, dim(x): n x p)?

Regarding JMP: this is really a good software, especially for planning and analysing experiments. However, I would be concerned of recommendations to drop variables into boxes and to expect all relevant information. Analysis should be somewhat more thoughtful.

In addition, reading Excel sheets and applying formats to variables is not a unique characteristic of JMP; this is handled by R, SAS or STATA too. However, you will need more knowledge of the respective language.

HTH, Adrian

I use R and is a good free software. There are a lot of tutorials in youtube and materials in internet. Also you can use R commander for more tipical analysis so you don´t need the syntaxis.

All the best

Stata is quite good, easy to use a well for all round data analysis

I would say that R is the most flexible solution. It's totally free, there are lots of routines out there written by a very large community of experts and amateurs alike and if you decide to delve into it more than you need for a simple analysis, you get the extra benefit of developing your programming skills - something that is considered a must nowadays.

One last answer. I like R. I recently found a very helpful book by Zelterman. It is described at the link below. Best wishes.

http://www.amazon.com/Applied-Multivariate-Statistics-Biology-Health/dp/3319140922/ref=sr_1_5?ie=UTF8&qid=1453662680&sr=8-5&keywords=applied+multivariate+r

Thank you all for wonderful suggestions.

I also have one suggestion for software known as PAST (http://folk.uio.no/ohammer/past/). Its free, user friendly and most importantly relied by most of the well-impact journals. I wish one can try.

Thanks

Dear Essam,

PAST sofware is very useful for multivariate analysis. You must try it. It is free, used-friendly. You may also download its manual. It is also free.

Best of Luck!

Thank you for your suggestion.

I will try it

Good software enhanced our intelectual productivity.

We lost our valuable research time by bad software.

This standard is very important.

You can also use Python

Dear Essam A. Al-Moraissi,

Well there are so many software to perform multivariate analysis, including PAST (https://folk.uio.no/ohammer/past/), XL STAT (https://www.xlstat.com/en/); it has 30 days free trail version. But the most popular and commonly used are SPSS, Minitab, R program and Python.

Regards

MVSP,

MINITAB,

ADE-4,

JMULTI (4.22),

STATEASY (0.4),

BIPLOT (1.1)

SPSS 20 and later versions.

I still recommend MVSP, as its very easy and intuitive to use.