{"title":"求主成分的漫长、复杂、乏味和困难之路(或者,当你读完这一集,你就会知道为什么它总是用矩阵来完成)-第3部分:多元曲线拟合","authors":"H. Mark, Jerry Workman","doi":"10.1016/b978-0-323-91164-1.00082-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":227468,"journal":{"name":"Chemometrics in Spectroscopy","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Long, Complicated, Tedious, and Difficult Route to Principal Components (or, When You’re Through Reading This Set You’ll Know Why It's Always Done With Matrices)—Part 3: Multivariate Curve Fitting\",\"authors\":\"H. Mark, Jerry Workman\",\"doi\":\"10.1016/b978-0-323-91164-1.00082-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":227468,\"journal\":{\"name\":\"Chemometrics in Spectroscopy\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemometrics in Spectroscopy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/b978-0-323-91164-1.00082-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemometrics in Spectroscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/b978-0-323-91164-1.00082-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Long, Complicated, Tedious, and Difficult Route to Principal Components (or, When You’re Through Reading This Set You’ll Know Why It's Always Done With Matrices)—Part 3: Multivariate Curve Fitting