Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "9899"
#_source: array:26 [
"id" => "9899"
"slug" => "9899-explanatory-methods-for-comparative-analyses"
"yearMonth" => "2001-10"
"year" => "2001"
"title" => "Explanatory Methods for Comparative Analyses"
"description" => "ESPOSITO VINZI, V. (2001). Explanatory Methods for Comparative Analyses. <i>Chemometrics and Intelligent Laboratory Systems</i>, 58(2), pp. 275-286. 
ESPOSITO VINZI, V. (2001). Explanatory Methods for Comparative Analyses. <i>Chemometrics and Intelli "
"authors" => array:1 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "Dependence Relationships"
1 => "Multiple Tables"
2 => "Nonsymmetrical analysis"
3 => "Procrustes rotations"
4 => "Co-inertia"
5 => "Graphical representations"
]
"updatedAt" => "2021-07-13 14:31:22"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "275-286"
"volume" => "58"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The aim of the paper is to give some insights into the different methods for the simultaneous and comparative analysis of particularly structured multiple matrices. These matrices are made up of multivariate multi-occasion data. These data relate to several variables collected on the same set of statistical units and under different observational conditions. The paper is set in a nonsymmetrical framework where external, usually condition-invariant, information on the variables' dependence structure is taken into account. Therefore, the paper proposes some extensions of the method called principal component analysis onto a reference subspace (PCAR) to the case of more than one response data sets. Finally, where they exist, the links between these methods and partial least squares (PLS) regression are presented. The geometrical aspects of such methods as well as their interpretative tools, useful in new specific fields of application, are the main focus of the paper. The aim of the paper is to give some insights into the different methods for the simultaneous and co "
"en" => "The aim of the paper is to give some insights into the different methods for the simultaneous and comparative analysis of particularly structured multiple matrices. These matrices are made up of multivariate multi-occasion data. These data relate to several variables collected on the same set of statistical units and under different observational conditions. The paper is set in a nonsymmetrical framework where external, usually condition-invariant, information on the variables' dependence structure is taken into account. Therefore, the paper proposes some extensions of the method called principal component analysis onto a reference subspace (PCAR) to the case of more than one response data sets. Finally, where they exist, the links between these methods and partial least squares (PLS) regression are presented. The geometrical aspects of such methods as well as their interpretative tools, useful in new specific fields of application, are the main focus of the paper. The aim of the paper is to give some insights into the different methods for the simultaneous and co "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-01T10:21:49.000Z"
"docTitle" => "Explanatory Methods for Comparative Analyses"
"docSurtitle" => "Articles"
"authorNames" => "<a href="/cv/esposito-vinzi-vincenzo">ESPOSITO VINZI Vincenzo</a>"
"docDescription" => "<span class="document-property-authors">ESPOSITO VINZI Vincenzo</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2001</span> <span class="document-property-authors">ESPOSITO VINZI Vincenzo</span><br><span class="document-prop "
"keywordList" => "<a href="#">Dependence Relationships</a>, <a href="#">Multiple Tables</a>, <a href="#">Nonsymmetrical analysis</a>, <a href="#">Procrustes rotations</a>, <a href="#">Co-inertia</a>, <a href="#">Graphical representations</a> <a href="#">Dependence Relationships</a>, <a href="#">Multiple Tables</a>, <a href="#">Nonsymmetrica "
"docPreview" => "<b>Explanatory Methods for Comparative Analyses</b><br><span>2001-10 | Articles </span>"
"docType" => "research"
"publicationLink" => "<a href="#" target="_blank">Explanatory Methods for Comparative Analyses</a>"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 9.044207
+"parent": null
}
