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

Name : R-LSE
Version : 1.0.0 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.1.11 Date : 2024-06-14 11:14:11
Group : Development/Libraries/Other Source RPM : R-LSE-1.0.0-lp153.1.11.src.rpm
Size : 0.04 MB
Packager : (none)
Summary : Constrained Least Squares and Generalized QR Factorization
Description :
The solution of equality constrained least squares problem (LSE) is
given through four analytics methods (Generalized QR Factorization,
Lagrange Multipliers, Direct Elimination and Null Space method). We
expose the orthogonal decomposition called Generalized QR Factorization
(GQR) and also RQ factorization. Finally some codes for the solution of
LSE applied in quaternions.

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-LSE-1.0.0-lp153.1.11.x86_64.rpm
     

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

Requires :
R-base
R-pracma
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/LSE
/usr/lib64/R/library/LSE/DESCRIPTION
/usr/lib64/R/library/LSE/INDEX
/usr/lib64/R/library/LSE/Meta
/usr/lib64/R/library/LSE/Meta/Rd.rds
/usr/lib64/R/library/LSE/Meta/features.rds
/usr/lib64/R/library/LSE/Meta/hsearch.rds
/usr/lib64/R/library/LSE/Meta/links.rds
/usr/lib64/R/library/LSE/Meta/nsInfo.rds
/usr/lib64/R/library/LSE/Meta/package.rds
/usr/lib64/R/library/LSE/NAMESPACE
/usr/lib64/R/library/LSE/R
/usr/lib64/R/library/LSE/R/LSE
/usr/lib64/R/library/LSE/R/LSE.rdb
/usr/lib64/R/library/LSE/R/LSE.rdx
/usr/lib64/R/library/LSE/help
/usr/lib64/R/library/LSE/help/AnIndex
/usr/lib64/R/library/LSE/help/LSE.rdb
/usr/lib64/R/library/LSE/help/LSE.rdx
/usr/lib64/R/library/LSE/help/aliases.rds
/usr/lib64/R/library/LSE/help/paths.rds
/usr/lib64/R/library/LSE/html
/usr/lib64/R/library/LSE/html/00Index.html
/usr/lib64/R/library/LSE/html/R.css

 
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