{"version":"1.0","provider_name":"CCR","provider_url":"https:\/\/www.ccrdigital-lab.it\/en\/","author_name":"Amalia Nani","author_url":"https:\/\/www.ccrdigital-lab.it\/en\/author\/amalia\/","title":"MULTIVARIATE STRATEGIES FOR CONSERVATION SCIENCE - CCR","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"EeVVb0gIKA\"><a href=\"https:\/\/www.ccrdigital-lab.it\/en\/prodotto\/multivariate-strategis-for-conservation-science\/\">MULTIVARIATE STRATEGIES FOR CONSERVATION SCIENCE<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.ccrdigital-lab.it\/en\/prodotto\/multivariate-strategis-for-conservation-science\/embed\/#?secret=EeVVb0gIKA\" width=\"600\" height=\"338\" title=\"&#8220;MULTIVARIATE STRATEGIES FOR CONSERVATION SCIENCE&#8221; &#8212; CCR\" data-secret=\"EeVVb0gIKA\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.ccrdigital-lab.it\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.ccrdigital-lab.it\/wp-content\/uploads\/2025\/04\/chemiometria-modulo1-501x430-1.jpg","thumbnail_width":501,"thumbnail_height":430,"description":"This course, held in English, will introduce participants to the fundamentals of chemometrics, with special reference to multivariate analysis methods aimed at extracting maximum information from analytical data of spectroscopic nature in the context of cultural heritage research. Basic notions on the pretreatment of spectral profiles and principal component analysis (PCA) will be provided, and supervised methods of multivariate classification and regression will be covered in detail. The illustration of theoretical and descriptive aspects will be supported by the discussion of a variety of applications in the cultural heritage field. This will be followed by a specific module dedicated to practical demonstrations and guided practice on the use of a free software (CAT) that will be made available to all participants. Program Monday, June 23th  \u00b7 2:00 \u2013 3:00 p.m.: Introduction to multivariate analysis and data pretreatment  \u00b7 3:00 \u2013 5:00 p.m.: Principal component analysis (PCA)  Tuesday, June 24th  \u00b7 2:00 \u2013 3:00 p.m.: Introduction to the use of CAT software and PCA application examples  \u00b7 3:00 \u2013 5:00 p.m.: Introduction to the fundamentals of supervised methods  Wednesday, June 25th  \u00b7 2:00 \u2013 3:00 p.m.: Qualitative supervised methods (multivariate classification)  \u00b7 3:00 \u2013 5:00 p.m.: Practical session on classification with CAT software  Thursday, June 26th  \u00b7 2:00 \u2013 3:00 p.m.: Quantitative supervised methods (multivariate regression)  \u00b7 3:00 \u2013 5:00 p.m.: Practical session on regression with CAT software"}