246 research outputs found

    The use of orthogonal signal correction to improve NIR readings of pulp fibre properties

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    In 1999 Tembec Industries and the National Renewal Energy Laboratories worked together in developing a methodology to use Near-infrared (NIR). Technology of in-house pulp fibre quality properties Q99 and Q97. The initial results with dry samples of pulp were encouraging. the wet samples results were initially disappointing using the standard chemometric techniques. Svante Wold developed a new chemometric method called Orthogonal Signal correction (OSC), which was used to obtain a good correction of Q99 in the wet pulp samples.</p

    Wold, Herman O. A.

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    Wold, Herman O. A.

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    Orthogonal projections to latent structures (O-PLS)

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    A generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described. O-PLS removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity). In mathematical terms this is equivalent to removing systematic variation in X that is orthogonal to Y. In an earlier paper, Wold et al. (Chemometrics Intell. Lab. Syst. 1998; 44: 175-185) described orthogonal signal correction (OSC). In this paper a method with the same objective but with different means is described. The proposed O-PLS method analyzes the variation explained in each PLS component. The non-correlated systematic variation in X is removed, making interpretation of the resulting PLS model easier and with the additional benefit that the non-correlated variation itself can be analyzed further. As an example, near-infrared (NIR) reflectance spectra of wood chips were analyzed. Applying O-PLS resulted in reduced model complexity with preserved prediction ability, effective removal of non-correlated variation in X and, not least, improved interpretational ability of both correlated and non-correlated variation in the NIR spectra.</p

    What does crime literature tell us about today’s South Africa? : [a conversation between Deon Meyer and Svante Weyler]

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    A conversation with Deon Meyer, author from Cape Town.</p

    guokai8/o2plsda: o2plsda 0.0.6

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    Omics data integration with o2plsda Description o2plsda provides functions to do O2PLS-DA analysis for mutiple omics integration. The package could use the group information (MCCV) when we select the best paramaters with cross-validation. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003. Contact information For any questions please contact [email protected] or https://github.com/guokai8/o2plsda/issue

    Personal memories of the early PLS development

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