S
Svante Wold
Researcher at Umeå University
Publications - 330
Citations - 47686
Svante Wold is an academic researcher from Umeå University. The author has contributed to research in topics: Partial least squares regression & Principal component analysis. The author has an hindex of 70, co-authored 330 publications receiving 43606 citations.
Papers
More filters
Journal ArticleDOI
The kernel algorithm for PLS
TL;DR: A fast and memory‐saving PLS regression algorithm for matrices with large numbers of objects is presented and a condensed matrix algebra version of the kernel algorithm is given together with the MATLAB code.
Journal ArticleDOI
O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter
Johan Trygg,Svante Wold +1 more
TL;DR: The O2-PLS method as mentioned in this paper is derived from the basic partial least squares projections to latent structures (PLS) prediction approach and has an integral orthogonal signal correction (OSC) filter that separates structured noise in X and Y from their joint X-Y covariation used in the prediction model.
Journal ArticleDOI
A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm
TL;DR: A kernel algorithm is presented based on eigenvectors to the ‘kernel’ matrix XX TYYT, which is a square, non‐symmetric matrix of size N × N, where N is the number of objects.
Journal ArticleDOI
An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra
TL;DR: In this paper, Orthogonal signal correction (OSC) is applied to NIR-spectra that were used in a calibration for the water content in a pharmaceutical product, and the performance of OSC was on the same level as for piecewise direct standardisation and spectral offset correction for each individual instrument and PLS-models with both instruments included.