文件名称:PLS_pack
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1.32mb
- 下载次数：
- 0次
- 提 供 者：
- che****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
偏最小二乘算法代码及相关说明,在机器学习,实时数值仿真中用得较多-partial least square algorithm. there are many application in mahcine learning and real-time simulating.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
CHANGES
CHANGES.txt
data
....\gasoline.RData
....\oliveoil.RData
....\yarn.RData
DESCRIPTION
DESCRIPTION.txt
man
...\biplot.mvr.Rd
...\coef.mvr.Rd
...\coefplot.Rd
...\crossval.Rd
...\cvsegments.Rd
...\delete.intercept.Rd
...\gasoline.Rd
...\jack.test.Rd
...\kernelpls.fit.Rd
...\msc.Rd
...\mvr.Rd
...\mvrCv.Rd
...\mvrVal.Rd
...\naExcludeMvr.Rd
...\oliveoil.Rd
...\oscorespls.fit.Rd
...\plot.mvr.Rd
...\pls.options.Rd
...\predict.mvr.Rd
...\predplot.Rd
...\scoreplot.Rd
...\scores.Rd
...\simpls.fit.Rd
...\stdize.Rd
...\summary.mvr.Rd
...\svdpc.fit.Rd
...\validationplot.Rd
...\var.jack.Rd
...\widekernelpls.fit.Rd
...\yarn.Rd
pls.cpp
pls.pdf
R
.\crossval.R
.\cvsegments.R
.\extract.R
.\jackknife.R
.\kernelpls.fit.R
.\msc.R
.\mvr.R
.\mvrCv.R
.\mvrVal.R
.\mvr_wrappers.R
.\oscorespls.fit.R
.\plots.R
.\pls.options.R
.\predict.mvr.R
.\simpls.fit.R
.\stdize.R
.\summaries.R
.\svdpc.fit.R
.\widekernelpls.fit.R
The pls package.pdf
CHANGES.txt
data
....\gasoline.RData
....\oliveoil.RData
....\yarn.RData
DESCRIPTION
DESCRIPTION.txt
man
...\biplot.mvr.Rd
...\coef.mvr.Rd
...\coefplot.Rd
...\crossval.Rd
...\cvsegments.Rd
...\delete.intercept.Rd
...\gasoline.Rd
...\jack.test.Rd
...\kernelpls.fit.Rd
...\msc.Rd
...\mvr.Rd
...\mvrCv.Rd
...\mvrVal.Rd
...\naExcludeMvr.Rd
...\oliveoil.Rd
...\oscorespls.fit.Rd
...\plot.mvr.Rd
...\pls.options.Rd
...\predict.mvr.Rd
...\predplot.Rd
...\scoreplot.Rd
...\scores.Rd
...\simpls.fit.Rd
...\stdize.Rd
...\summary.mvr.Rd
...\svdpc.fit.Rd
...\validationplot.Rd
...\var.jack.Rd
...\widekernelpls.fit.Rd
...\yarn.Rd
pls.cpp
pls.pdf
R
.\crossval.R
.\cvsegments.R
.\extract.R
.\jackknife.R
.\kernelpls.fit.R
.\msc.R
.\mvr.R
.\mvrCv.R
.\mvrVal.R
.\mvr_wrappers.R
.\oscorespls.fit.R
.\plots.R
.\pls.options.R
.\predict.mvr.R
.\simpls.fit.R
.\stdize.R
.\summaries.R
.\svdpc.fit.R
.\widekernelpls.fit.R
The pls package.pdf