I think, R software is very difficult to learn. I performed my analysis by Minitab 16 software. Its easy and user- friendly program. 

In my opinion, and if you have heard of the R software, "prcomp" is very easy to use and can be connected to other useful tools for PCA. You can get a flavour of it with the following easy simulation:

> x y z ddd model summary(model)

Importance of components:

PC1 PC2 PC3

Standard deviation 1.7276 0.11148 0.05591

Proportion of Variance 0.9948 0.00414 0.00104

Cumulative Proportion 0.9948 0.99896 1.00000

> PCA1

If you use R and you can get hold of the Book "Numerical ecology in R" (Springer) I woudl say you have all you need to run basic PCA and other multivariate analyses. Of course there are also other packages as mentioned above. Go R! :)

Thank you Prof James Foadi, Christian Michel and Mandana  Mohammadi for your guidelines.

Thank you Renan Maestri

I think, R software is very difficult to learn. I performed my analysis by Minitab 16 software. Its easy and user- friendly program. 

R is very easy

output = princomp(datamatrix,cor=TRUE,score=TRUE)