How to Install and Uninstall libstatistics-pca-perl Package on Kali Linux

Last updated: December 28,2024

1. Install "libstatistics-pca-perl" package

Please follow the guidance below to install libstatistics-pca-perl on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libstatistics-pca-perl
            
                    
    
    Copied

2. Uninstall "libstatistics-pca-perl" package

Here is a brief guide to show you how to uninstall libstatistics-pca-perl on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libstatistics-pca-perl
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libstatistics-pca-perl package on Kali Linux

Package: libstatistics-pca-perl
Version: 0.0.1-2
Installed-Size: 47
Maintainer: Debian Perl Group
Architecture: all
Depends: perl:any, libcontextual-return-perl, libmath-cephes-perl, libmath-matrixreal-perl, libtext-simpletable-perl
Size: 15036
SHA256: 6067b2cb15385e9497df0fd6f757c0d29b46645b7db25799621e065ea92dec88
SHA1: 92132cae3f06971c29f8f21aecd486afa8a12ee5
MD5sum: 98c1c42037ba55f8daa61023603645b0
Description: perl module for principal component analysis (PCA)
Statistics::PCA provides functions for principal component analysis (PCA).
PCA transforms higher-dimensional data consisting of a number of possibly
correlated variables into a smaller number of uncorrelated variables termed
principal components (PCs). The higher the ranking of the PCs the greater the
amount of variability that the PC accounts for.
.
This PCA procedure involves the calculation of the eigenvalue decomposition
from a data covariance matrix after mean centering the data.
.
See https://en.wikipedia.org/wiki/Principal_component_analysis
Description-md5:
Homepage: https://metacpan.org/release/Statistics-PCA
Section: perl
Priority: optional
Filename: pool/main/libs/libstatistics-pca-perl/libstatistics-pca-perl_0.0.1-2_all.deb