SEARCH
NEW RPMS
DIRECTORIES
ABOUT
FAQ
VARIOUS
BLOG

 
 

R-rpls rpm build for : openSUSE Leap 15. For other distributions click R-rpls.

Name : R-rpls
Version : 0.6.0 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.2.13 Date : 2024-06-14 11:32:03
Group : Development/Libraries/Other Source RPM : R-rpls-0.6.0-lp153.2.13.src.rpm
Size : 0.04 MB
Packager : (none)
Summary : Robust Partial Least Squares
Description :
A robust Partial Least-Squares (PLS) method is implemented that is
robust to outliers in the residuals as well as to leverage points. A
specific weighting scheme is applied which avoids iterations, and leads
to a highly efficient robust PLS estimator.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-rpls-0.6.0-lp153.2.13.x86_64.rpm
     

Provides :
R-rpls
R-rpls(x86-64)

Requires :
R-DEoptimR
R-base
R-mvtnorm
R-pcaPP
R-robustbase
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/rpls
/usr/lib64/R/library/rpls/DESCRIPTION
/usr/lib64/R/library/rpls/INDEX
/usr/lib64/R/library/rpls/Meta
/usr/lib64/R/library/rpls/Meta/Rd.rds
/usr/lib64/R/library/rpls/Meta/features.rds
/usr/lib64/R/library/rpls/Meta/hsearch.rds
/usr/lib64/R/library/rpls/Meta/links.rds
/usr/lib64/R/library/rpls/Meta/nsInfo.rds
/usr/lib64/R/library/rpls/Meta/package.rds
/usr/lib64/R/library/rpls/NAMESPACE
/usr/lib64/R/library/rpls/R
/usr/lib64/R/library/rpls/R/rpls
/usr/lib64/R/library/rpls/R/rpls.rdb
/usr/lib64/R/library/rpls/R/rpls.rdx
/usr/lib64/R/library/rpls/help
/usr/lib64/R/library/rpls/help/AnIndex
/usr/lib64/R/library/rpls/help/aliases.rds
/usr/lib64/R/library/rpls/help/paths.rds
/usr/lib64/R/library/rpls/help/rpls.rdb
/usr/lib64/R/library/rpls/help/rpls.rdx
/usr/lib64/R/library/rpls/html
/usr/lib64/R/library/rpls/html/00Index.html
/usr/lib64/R/library/rpls/html/R.css

 
ICM