<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Juan Jose Egozcue</dc:contributor>
  <dc:contributor>Ricardo A. Olea</dc:contributor>
  <dc:contributor>Vera Pawlowsky-Glahn</dc:contributor>
  <dc:creator>J. A Martin-Fernandez</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description>&lt;div id="Abs1-section" class="c-article-section"&gt;&lt;div id="Abs1-content" class="c-article-section__content"&gt;&lt;p&gt;Compositional data carry relative information. Hence, their statistical analysis has to be performed on coordinates with respect to a log-ratio basis. Frequently, the modeler is required to back-transform the estimates obtained with the modeling to have them in the original units such as euros, kg or mg/liter. Approaches for recovering original units need to be formally introduced and its properties explored. Here, we formulate and analyze the properties of two procedures: a simple approach consisting of adding a residual part to the composition and an approach based on the use of an auxiliary variable. Both procedures are illustrated using a geochemical data set where the original units are recovered when spatial models are applied.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1007/s11053-020-09659-7</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Springer</dc:publisher>
  <dc:title>Units recovery methods in compositional data analysis</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>