Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches.

导出 LinkOut

翻译打印收藏纠错

第一作者： Chenyu,Liu

第一单位： Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA.

作者： Chenyu,Liu ^[1] ; Xinlian,Zhang ^[1] ; Tanya T,Nguyen ^[2] ; Jinyuan,Liu ^[1] ; Tsungchin,Wu ^[1] ; Ellen,Lee ^[2] ; Xin M,Tu ^[1]

作者单位： Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA. ^[1] Department of Psychiatry, Stein Institute for Research on Aging, UC San Diego, La Jolla, California, USA. ^[2]

关键词 biostatistics linear models statistics as topic

DOI 10.1136/gpsych-2021-100662

PMID 35146334

发布时间 2023-03-10

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

General psychiatry

2022年35卷1期

e100662页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches.

General psychiatry

相似文献

General psychiatry

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches.

General psychiatry

相似文献

General psychiatry

相关期刊

检索历史清除