SAISIR: A new general chemometric toolbox

被引：106
作者：
Cordella, Christophe B. Y. [1 ]
Bertrand, Dominique [2 ]
机构：
[1] Inst Natl Rech Agronom, GENIAL UMR1145, Equipe Ingenierie Analyt Qualite Aliments Chimiom, F-75005 Paris, France
[2] Inst Natl Rech Agronom, Unite Biopolymeres Interact Assemblages, Equipe Bioinformat, F-44316 Nantes 3, France
来源：
TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 2014年 / 54卷
关键词：
Chemometric toolbox; Data modeling; Discrimination; MATLAB; Multiblock analysis; Multidimensional analysis; OCTAVE; SAISIR; SCILAB; Regression; GRAPHICAL INTERFACE TOOLBOX; MULTIVARIATE CALIBRATION; MATLAB TOOLBOX; SPECTROSCOPY; TOMATO;
D O I：
10.1016/j.trac.2013.10.009
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The SAISIR Toolbox for MATLAB, OCTAVE and SCILAB is a freely available collection of functions and algorithms for modeling physicochemical, sensorial and multidimensional data with a large range of bilinear and multilinear models. The SAISIR toolbox can be freely downloaded at http://www.chimiometrie.fr/saisirdownload.html. SAISIR contains many functions for loading, saving, manipulating or displaying data. It is well equipped with more than 200 chemometric functions for regression, multidimensional analysis, discrimination and multiblock analysis. (C) 2013 Elsevier Ltd. All rights reserved.
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收藏
页码：75 / 82
页数：8
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