| Name : R-auto.pca
| |
| Version : 0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.5.1
| Date : 2024-06-28 11:24:01
|
| Group : Development/Libraries/Other
| Source RPM : R-auto.pca-0.3-lp154.5.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Automatic Variable Reduction Using Principal Component Analysis
|
Description :
PCA done by eigenvalue decomposition of a data correlation matrix, here
it automatically determines the number of factors by eigenvalue greater
than 1 and it gives the uncorrelated variables based on the rotated
component scores, Such that in each principal component variable which
has the high variance are selected. It will be useful for
non-statisticians in selection of variables. For more information, see
the < http://www.ijcem.org/papers032013/ijcem_032013_06.pdf> web page.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
