{"id":5714,"date":"2023-09-03T14:57:08","date_gmt":"2023-09-03T12:57:08","guid":{"rendered":"https:\/\/francestat.com\/?page_id=5714"},"modified":"2024-12-02T10:31:29","modified_gmt":"2024-12-02T09:31:29","slug":"uniwin-nipals","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-nipals\/","title":{"rendered":"Uniwin – NIPALS"},"content":{"rendered":"

[vc_row][vc_column]

<\/div>

UNIWIN - Analyse NIPALS<\/h2><\/div><\/div>[\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’analyse NIPALS (Nonlinear Iterative Partial Least Squares) est une m\u00e9thode s\u00e9quentielle d’analyse en composantes principales autorisant la pr\u00e9sence de donn\u00e9es manquantes dans les donn\u00e9es. Cette m\u00e9thode a \u00e9t\u00e9 initialement pr\u00e9sent\u00e9e par Herman Wold en 1966. Par la validation crois\u00e9e (m\u00e9thode de Krzanowski), elle permet \u00e9galement de d\u00e9finir le nombre de composantes \u00e0 retenir.<\/p>\n

Elle affiche un rapport pr\u00e9sentant les diverses statistiques calcul\u00e9es ainsi que les graphiques des R2 cumul\u00e9s, des Q2 cumul\u00e9s, des plans factoriels des observations et des poids des variables, des cercles des corr\u00e9lations ainsi que des diagrammes des contributions, des cosinus carr\u00e9s cumul\u00e9s, des distances carr\u00e9es \u00e0 l\u2019origine et des distances normalis\u00e9es au mod\u00e8le.<\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=\u00a0\u00bb6372″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Tableaux<\/u><\/span><\/strong><\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Valeurs propres, RESS, R2, R2 cumul\u00e9s<\/p>\n<\/td>\n<\/tr>\n

\n

PRESS, Q2, Q2 cumul\u00e9s<\/p>\n<\/td>\n<\/tr>\n

\n

Poids des variables<\/p>\n<\/td>\n<\/tr>\n

\n

Corr\u00e9lations entre les variables et les composantes principales<\/p>\n<\/td>\n<\/tr>\n

\n

Scores des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Contributions des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s cumul\u00e9s des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Distances carr\u00e9es \u00e0 l’origine des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Distances normalis\u00e9es au mod\u00e8le (DModX) des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Donn\u00e9es reconstitu\u00e9es<\/p>\n<\/td>\n<\/tr>\n

\n

Ecarts entre donn\u00e9es observ\u00e9es et donn\u00e9es reconstitu\u00e9es<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Graphiques<\/u><\/span><\/strong><\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n
\n

Diagramme des R2 cumul\u00e9s<\/p>\n<\/td>\n<\/tr>\n

\n

Diagramme des Q2 cumul\u00e9s<\/p>\n<\/td>\n<\/tr>\n

\n

Graphique des poids des variables<\/p>\n<\/td>\n<\/tr>\n

\n

Cercles des corr\u00e9lations<\/p>\n<\/td>\n<\/tr>\n

\n

Graphique des scores des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Graphique des contributions des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Graphique des cosinus carr\u00e9s cumul\u00e9s des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Graphique des distances carr\u00e9es \u00e0 l’origine des observations<\/p>\n<\/td>\n<\/tr>\n

\n

Graphique des distances normalis\u00e9es au mod\u00e8le (DModX) des observations<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_btn title=\u00a0\u00bbConsulter la documentation compl\u00e8te\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FUniwin%2Fpdf%2FAnalyse%20NIPALS.pdf|title:UNIWIN%20-%20NIPALS\u00a0\u00bb][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’analyse NIPALS (Nonlinear Iterative Partial Least Squares) est une m\u00e9thode s\u00e9quentielle d’analyse en composantes principales autorisant la pr\u00e9sence de donn\u00e9es manquantes dans les donn\u00e9es. Cette m\u00e9thode a \u00e9t\u00e9 initialement pr\u00e9sent\u00e9e par Herman Wold en 1966. Par la validation crois\u00e9e (m\u00e9thode de Krzanowski), elle permet \u00e9galement de d\u00e9finir le nombre de composantes \u00e0 retenir. Elle affiche…<\/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-5714","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - NIPALS - FRANCESTAT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/francestat.com\/index.php\/uniwin-nipals\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - NIPALS - FRANCESTAT\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’analyse NIPALS (Nonlinear Iterative Partial Least Squares) est une m\u00e9thode s\u00e9quentielle d’analyse en composantes principales autorisant la pr\u00e9sence de donn\u00e9es manquantes dans les donn\u00e9es. Cette m\u00e9thode a \u00e9t\u00e9 initialement pr\u00e9sent\u00e9e par Herman Wold en 1966. Par la validation crois\u00e9e (m\u00e9thode de Krzanowski), elle permet \u00e9galement de d\u00e9finir le nombre de composantes \u00e0 retenir. 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