Baltic Sea Salmon Authentication

<p>The data is official food control data of dioxin and PCB concentration level that were analysed in salmon samples acquired by the Danish Veterinary and Food Administration (Fødevarestyrelsen).</p> <p>One-class classification models (data driven soft independent modelling of class analogy (DD-SIMCA)) were built for the authentication of the geographical origin of Baltic Sea salmon using the mdatools package <a href="https://www.mdatools.com/" target="_blank">https://www.mdatools.com/ </a>(please refer to References).</p> <p>The script and the data can be viewed as presented or modified (e.g. different combinations of training and test set data can be tested). In addition, the suggested DD-SIMCA models can be applied to new independent Dioxin and PCB profiling data (please refer to the license text).</p> <p><br></p> <p><u>References:</u></p> <p>Kucheryavskiy S (2020). “mdatools — R package for chemometrics.” Chemometrics and Intelligent Laboratory Systems, 198. <a href="https://doi.org/10.1016/j.chemolab.2020.103937" target="_blank">https://doi.org/10.1016/j.chemolab.2020.103937</a> </p>