{"id":3148,"date":"2019-05-12T18:04:25","date_gmt":"2019-05-12T16:04:25","guid":{"rendered":"http:\/\/francestat.com\/?page_id=3148"},"modified":"2025-11-29T09:10:47","modified_gmt":"2025-11-29T08:10:47","slug":"simca","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/simca\/","title":{"rendered":"SIMCA"},"content":{"rendered":"<p>[vc_row][vc_column width=\u00a0\u00bb1\/4&Prime;][vc_column_text][\/vc_column_text][\/vc_column][vc_column width=\u00a0\u00bb3\/4&Prime;]<div id=\"ultimate-heading-399969f1fa1ebe3ad\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-399969f1fa1ebe3ad uvc-2664  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"center\" style=\"text-align:center\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-399969f1fa1ebe3ad h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">Logiciel SIMCA 18.2<\/h2><\/div><\/div>[vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4&Prime;][vc_single_image image=\u00a0\u00bb3159&Prime; alignment=\u00a0\u00bbcenter\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbBrochure Simca 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FBrochure_SIMCA_18.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbNouveaut\u00e9s version 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FNouveautes_SIMCA_18.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbOmics Skin 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FOmics_SIMCA_18.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbMVDA EduPack 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FMVDA%20EduPack.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbFormation\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Ffrancestat.com%2Findex.php%2Fformation_simca%2F|title:Formation%20SIMCA\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbVersion d&rsquo;\u00e9valuation 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Ffrancestat.com%2Findex.php%2Ftelechargement%2F\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbDemande de contact\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Ffrancestat.com%2Findex.php%2Fcontact%2F|title:Demande%20de%20contact\u00a0\u00bb][\/vc_column][vc_column width=\u00a0\u00bb3\/4&Prime;][vc_column_text css=\u00a0\u00bb.vc_custom_1613904223736{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>SIMCA<\/strong> est un logiciel d&rsquo;analyse et de mod\u00e9lisation de donn\u00e9es multivari\u00e9es. Il vous aide \u00e0 d\u00e9terminer les variables contenant les informations importantes sous la forme de tableaux, de classifications et de mod\u00e8les quantitatifs. Parmi les techniques propos\u00e9es\u00a0: ACP, NIPALS, r\u00e9gressions PLS, OPLS, PLS-DA, OPLS-DA, classification SIMCA, arbres de r\u00e9gression PLS, analyse multi-blocs MOCA, analyse de spectres et analyses \u00ab\u00a0omics\u00a0\u00bb.<br \/>\n<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904648760{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Un logiciel d\u2019analyses multivari\u00e9es qui transforme vos donn\u00e9es en croissance !<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Les donn\u00e9es constituent l\u2019un des \u00e9l\u00e9ments les plus pr\u00e9cieux d\u2019une entreprise. Les solutions pour la r\u00e9duction des nombres de d\u00e9fauts, l\u2019augmentation du rendement ou la d\u00e9couverte de nouvelles opportunit\u00e9s sont cach\u00e9es dans les donn\u00e9es de vos process et de vos \u00e9tudes exp\u00e9rimentales mais ne sont accessibles que si vous savez prendre en compte leur complexit\u00e9 ! Avec un logiciel d\u2019analyse multivari\u00e9e des donn\u00e9es comme SIMCA, vous et vos \u00e9quipes pouvez prendre en charge des projets \u00ab omics \u00bb ambitieux, mod\u00e9liser des syst\u00e8mes complexes et comprendre de fa\u00e7on approfondie vos process afin de piloter la croissance de votre entreprise.<\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">SIMCA n\u2019est pas uniquement pour les \u00ab\u00a0data scientists\u00a0\u00bb. Avec SIMCA, il n\u2019est pas n\u00e9cessaire d\u2019avoir un doctorat en statistique ou en informatique pour mettre en \u0153uvre des projets de \u00ab\u00a0data mining\u00a0\u00bb, de calibration multivari\u00e9e ou de mod\u00e9lisation pr\u00e9dictive. SIMCA sort la \u00ab\u00a0data science\u00a0\u00bb de sa technicit\u00e9 et permet \u00e0 la R&amp;D et aux ing\u00e9nieurs qualit\u00e9 d\u2019utiliser les m\u00e9thodes multivari\u00e9es, les visualisations de donn\u00e9es et la \u00ab\u00a0process intelligence\u00a0\u00bb dont ils ont besoin pour :<\/span><\/p>\n<ul>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Mettre en \u00e9vidence les tendances importantes, trouver les classes et les formes cach\u00e9es dans les donn\u00e9es<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Collaborer et communiquer les r\u00e9sultats obtenus<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Utiliser des applications sp\u00e9cialis\u00e9es comme les analyses spectroscopiques et \u00ab\u00a0omics\u00a0\u00bb<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Prendre des d\u00e9cisions \u00e9clair\u00e9es et mettre en place le QbD (Quality by Design)<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Gagner du temps, de l\u2019argent et des ressources\u00a0!<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3867&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613897994972{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904404937{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Renforcez l\u2019efficacit\u00e9 de vos \u00e9quipes avec le logiciel d\u2019analyse de donn\u00e9es multivari\u00e9es SIMCA<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">L\u2019utilisation par les industriels de m\u00e9thodes analytiques bas\u00e9es sur des donn\u00e9es spectrales et \u00ab omics \u00bb repr\u00e9sente un d\u00e9fi important lorsqu\u2019il s\u2019agit d\u2019analyser et d\u2019interpr\u00e9ter les r\u00e9sultats. Les \u00ab Omics Skin \u00bb et \u00ab Spectroscopy Skin \u00bb de SIMCA sont con\u00e7us pour rendre ais\u00e9 l\u2019utilisation d\u2019outils analytiques avanc\u00e9s comme l\u2019OPLS et l\u2019O2PLS et pour vous permettre d\u2019obtenir des r\u00e9sultats fiables et utilisables plus rapidement et ais\u00e9ment.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3868&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613898061723{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904415904{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Approfondissez la connaissance de vos process gr\u00e2ce aux analyses de donn\u00e9es multivari\u00e9es<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Si vous mettez en \u0153uvre des projets de R&amp;D, g\u00e9rez un site industriel ou travaillez \u00e0 la production, sans une connaissance pr\u00e9cise de vos process, la r\u00e9ussite ne peut pas \u00eatre obtenue. SIMCA apporte un ensemble complet d\u2019outils pour le \u00ab Data Mining \u00bb, l\u2019analyse des donn\u00e9es multivari\u00e9es et l\u2019interpr\u00e9tation des mod\u00e8les pour vous permettre ainsi qu\u2019\u00e0 vos \u00e9quipes de b\u00e2tir des mod\u00e8les robustes \u00e0 partir de donn\u00e9es historiques et de faire ais\u00e9ment des investigations syst\u00e9matiques pour d\u00e9couvrir les sources de variabilit\u00e9, pr\u00e9voir les comportements futurs de vos process et \u00e9liminer de fa\u00e7on proactive les probl\u00e8mes.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3869&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613898161000{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613902997624{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Lors de la mise en place d\u2019un process de production comportant plusieurs phases, chaque phase doit \u00eatre ma\u00eetris\u00e9e de fa\u00e7on \u00e0 assurer la qualit\u00e9 \u00e0 la fin du process. SIMCA peut vous aider \u00e0 quantifier comment chaque phase du process contribue \u00e0 l\u2019apparition de probl\u00e8mes critiques de fa\u00e7on \u00e0 ce que vous sachiez exactement ce qui doit \u00eatre pilot\u00e9, comment \u00e9viter les probl\u00e8mes de qualit\u00e9 et ainsi augmenter la productivit\u00e9 et le rendement.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3871&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613898234660{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904435655{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>D\u00e9couvrez de nouvelles opportunit\u00e9s de fa\u00e7on plus ais\u00e9e<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">L\u2019approche \u00ab Essais &#8211; Erreurs \u00bb atteint ses limites lorsqu\u2019il s\u2019agit de d\u00e9couvrir de nouvelles opportunit\u00e9s. Avec SIMCA, vous pouvez utiliser des m\u00e9thodes bas\u00e9es sur les donn\u00e9es et le criblage virtuel pour tester de nouvelle id\u00e9es plus rapidement et \u00e0 moindre co\u00fbt.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3872&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613898288863{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1683365466772{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Nouveaut\u00e9s de la version 18<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Avec le &lsquo;Adaptative Process Mode&rsquo;, les utilisateurs peuvent d\u00e9sormais combiner des donn\u00e9es de processus dynamiques et stables dans un unique projet SIMCA permettant ainsi une mod\u00e9lisation am\u00e9lior\u00e9e des projets par lots comportant plusieurs phases. Cette fonctionnalit\u00e9 ouvre la possibilit\u00e9 de combiner l&rsquo;\u00e9volution dynamique avec des donn\u00e9es \u00e0 l&rsquo;\u00e9tat stable au niveau du lot, permettant une analyse mieux agr\u00e9g\u00e9e des deux modes.<br \/>\n<\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Le d\u00e9fi du transfert de mod\u00e8les d&rsquo;\u00e9talonnage multivari\u00e9s entre les instruments est trait\u00e9 dans l&rsquo;assistant de transfert d&rsquo;\u00e9talonnage.<br \/>\n<\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">L&rsquo;utilisation du logiciel a \u00e9t\u00e9 am\u00e9lior\u00e9e, notamment avec la simplification de la r\u00e9daction de scripts dans SIMCA, une meilleure documentation et des exemples de scripts Python enrichis.<br \/>\n<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb5563&Prime; img_size=\u00a0\u00bb510&#215;286&Prime; alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1683364404651{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904493164{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Plus de puissance, moins de complexit\u00e9.<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">SIMCA combine un puissant moteur d\u2019analyse multivari\u00e9e \u00e0 des visualisations interactives, \u00e0 une interface intuitive et \u00e0 la possibilit\u00e9 d\u2019automatiser des encha\u00eenements de m\u00e9thodes. Un logiciel v\u00e9ritablement intuitif qui vous aide dans vos \u00e9tudes analytiques du d\u00e9but jusqu\u2019\u00e0 la fin :<\/span><\/p>\n<ul>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Import de donn\u00e9es de multiples formats<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Affichage et exploration interactive des donn\u00e9es pour identifier les importantes corr\u00e9lations<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Possibilit\u00e9 de cliquer sur un point dans un graphique pour afficher les contributions sous-jacentes<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Examen des relations entre les variables<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Identification rapide des facteurs et des interactions les plus importants<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Impl\u00e9mentation de scripts Python pour automatiser les encha\u00eenements de m\u00e9thodes<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Recherche des causes des probl\u00e8mes<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Pr\u00e9vision du rendement et du comportement futur d\u2019un process<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Communication ais\u00e9e des r\u00e9sultats en utilisant le g\u00e9n\u00e9rateur automatique de rapports<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904451489{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Le \u00ab\u00a0Spectroscopy Skin\u00a0\u00bb de SIMCA<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Le \u00ab Spectroscopy Skin \u00bb de SIMCA est une interface sp\u00e9ciale d\u00e9di\u00e9e \u00e0 l\u2019analyse de donn\u00e9es spectroscopiques. Il est possible en un clic de modifier les param\u00e8tres, les graphiques et le menu de SIMCA pour afficher une interface d\u00e9di\u00e9e aux donn\u00e9es spectroscopiques. Diff\u00e9rents filtres peuvent \u00eatre appliqu\u00e9s aux donn\u00e9es pour effectuer une comparaison des effets sur les r\u00e9sultats des mod\u00e8les. Ce \u00ab Spectroscopy Skin \u00bb fait partie int\u00e9grante de SIMCA, ce qui est une garantie de qualit\u00e9 et de robustesse.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3874&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613899139242{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613903947259{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>Quelques-unes des fonctionnalit\u00e9s<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Facile \u00e0 utiliser gr\u00e2ce \u00e0 son interface intuitive<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Encha\u00eenement simplifi\u00e9 des traitements<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Param\u00e8tres par d\u00e9faut adapt\u00e9s aux donn\u00e9es spectroscopiques<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Graphiques de qualit\u00e9<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Affichage ais\u00e9 des spectres et des poids des variables par rapport \u00e0 l\u2019axe spectral<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Assistant pour comparer les diff\u00e9rents filtres<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Outils pour comparer les mod\u00e8les en termes de Q2 et de RMSECV<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Import ais\u00e9 de nouvelles donn\u00e9es pour compl\u00e9ter le mod\u00e8le<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Pr\u00e9vision de nouveaux \u00e9chantillons en un clic<\/span><\/li>\n<\/ul>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Le \u00ab Spectroscopy Skin \u00bb de SIMCA poss\u00e8de une interface simplifi\u00e9e regroupant dans un unique ruban toutes ses fonctionnalit\u00e9s : graphiques, pr\u00e9-traitements et mod\u00e9lisation. Avec ce \u00ab Spectroscopy Skin \u00bb, vous pouvez ais\u00e9ment :<\/span><\/p>\n<ul>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Afficher les spectres et les \u00e9tudier<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Filtrer les donn\u00e9es avec des outils appropri\u00e9s<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Cr\u00e9er des mod\u00e8les multivari\u00e9s (PCA, PLS, OPLS)<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Comparer les r\u00e9sultats des mod\u00e8les<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">S\u00e9lectionner le filtre optimal et la plage des spectres<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Pr\u00e9voir de nouveaux \u00e9chantillons<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Compl\u00e9ter votre mod\u00e8le avec de nouvelles observations<\/span><\/li>\n<li><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Valider vos mod\u00e8les<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3875&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613899243499{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613903673490{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">Le \u00ab\u00a0Spectroscopy Skin\u00a0\u00bb de SIMCA poss\u00e8de un assistant pour la comparaison de filtres qui vous guide dans les op\u00e9rations courantes de filtrage des spectres de fa\u00e7on flexible et semi-automatis\u00e9e. Il permet de s\u00e9lectionner la plage des observations spectrales et les filtres \u00e0 inclure dans la comparaison.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613904185378{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\"><strong>L\u2019\u00ab\u00a0Omics Skin\u00a0\u00bb de SIMCA<\/strong><\/span><\/p>\n<p><span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">L\u2019\u00ab\u00a0Omics Skin\u00a0\u00bb de SIMCA est d\u00e9di\u00e9 \u00e0 l\u2019analyse de donn\u00e9es \u00ab\u00a0omics\u00a0\u00bb et vous aide \u00e0 obtenir des r\u00e9sultats fiables de fa\u00e7on rapide et ais\u00e9e. L\u2019assistant d\u2019analyse vous permet en diff\u00e9rentes \u00e9tapes d\u2019analyser vos donn\u00e9es et d\u2019identifier les param\u00e8tres discriminants.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3876&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613899376968{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613903725120{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">L\u2019\u00ab\u00a0Omics Skin\u00a0\u00bb est con\u00e7u pour analyser des donn\u00e9es \u00ab\u00a0omics\u00a0\u00bb telles que MS, NMR, m\u00e9tabolites identifi\u00e9s et donn\u00e9es chromatographiques m\u00eame si tout type de donn\u00e9es peut \u00eatre \u00e9tudi\u00e9. Un ruban \u00ab\u00a0Home\u00a0\u00bb sp\u00e9cial affiche les fonctionnalit\u00e9s couramment utilis\u00e9es lors de l\u2019analyse de donn\u00e9es \u00ab\u00a0omics\u00a0\u00bb. Les d\u00e9finitions du \u00ab\u00a0Workset\u00a0\u00bb et du mod\u00e8le peuvent \u00eatre r\u00e9alis\u00e9es comme dans la version usuelle de SIMCA et l\u2019assistant vous guide dans l\u2019analyse des donn\u00e9es, le choix de l\u2019\u00e9chelle appropri\u00e9e, l\u2019\u00e9tude de la consistance des donn\u00e9es jusqu\u2019\u00e0 l\u2019analyse discriminante finale et \u00e0 l\u2019dentification des param\u00e8tres discriminants. Les param\u00e8tres identifi\u00e9s comme int\u00e9ressants pour poursuivre l\u2019\u00e9tude sont affich\u00e9s dans une liste incluant notamment les covariations et les corr\u00e9lations mod\u00e9lis\u00e9es.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_single_image image=\u00a0\u00bb3877&Prime; img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1613899465176{background-color: #f4f4f4 !important;}\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1613903744335{background-color: #f4f4f4 !important;}\u00a0\u00bb]<span style=\"margin: 0px; padding: 0cm; border: 1pt windowtext; color: black; font-family: 'Helvetica',sans-serif; font-size: 10pt;\">L\u2019assistant d\u2019analyse permet de traiter les cas de deux groupes de donn\u00e9es, par exemple pour d\u00e9terminer les diff\u00e9rences entre un groupe contr\u00f4le et un groupe trait\u00e9.<\/span>[\/vc_column_text][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column width=\u00a0\u00bb1\/4&Prime;][vc_column_text][\/vc_column_text][\/vc_column][vc_column width=\u00a0\u00bb3\/4&Prime;][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4&Prime;][vc_single_image image=\u00a0\u00bb3159&Prime; alignment=\u00a0\u00bbcenter\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbBrochure Simca 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FBrochure_SIMCA_18.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbNouveaut\u00e9s version 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FNouveautes_SIMCA_18.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbOmics Skin 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FOmics_SIMCA_18.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbMVDA EduPack 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FSimca%2FMVDA%20EduPack.pdf\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbFormation\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Ffrancestat.com%2Findex.php%2Fformation_simca%2F|title:Formation%20SIMCA\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbVersion d&rsquo;\u00e9valuation 18.2&Prime; align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Ffrancestat.com%2Findex.php%2Ftelechargement%2F\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb10px\u00a0\u00bb][vc_btn title=\u00a0\u00bbDemande de contact\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Ffrancestat.com%2Findex.php%2Fcontact%2F|title:Demande%20de%20contact\u00a0\u00bb][\/vc_column][vc_column width=\u00a0\u00bb3\/4&Prime;][vc_column_text css=\u00a0\u00bb.vc_custom_1613904223736{background-color: #f4f4f4 !important;}\u00a0\u00bb]SIMCA est un logiciel d&rsquo;analyse et&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3148","page","type-page","status-publish","hentry","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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