1.0RSEhttps://www.rse-web.it/en/Barbarahttps://www.rse-web.it/en/author/barbara/rich600338<blockquote class="wp-embedded-content" data-secret="Dw7C1jsz7Q"><a href="https://www.rse-web.it/en/reports/clcc-r-package-manual/">CLCC R package manual</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.rse-web.it/en/reports/clcc-r-package-manual/embed/#?secret=Dw7C1jsz7Q" width="600" height="338" title="“CLCC R package manual” — RSE" data-secret="Dw7C1jsz7Q" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); //# sourceURL=https://www.rse-web.it/wp-includes/js/wp-embed.min.js </script> During 2022-2024 RdS research activities, an R package computing the the Commodity Life-Cycle Costing (CLCC), an economic indicator measuring natural resource consumption by product/processes during their life-cycle, was developed. R is a programming language and software environment for statistical analysis, data visualization and text-editing supported by several operating systems and that is fully open-source. The development of an R package to calculate the CLCC indicator is aimed at increasing the visibility of a product of RSE’s research activities and to make it easy, for external LCA and LCC practitioners, to use the indicator in their analyses and to enhance reproducibility. The package contains functions to compute both the baseline and critical CLCC indicators as well as to perform uncertainty analyses with the Monte Carlo method.