hoggorm: a python library for explorative multivariate statistics

Python Submitted 16 August 2018Published 11 July 2019
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Editor: @arfon (all papers)
Reviewers: @jsgalan (all reviews)

Authors

Oliver Tomic (0000-0003-1595-9962), Thomas Graff, Kristian Hovde Liland (0000-0001-6468-9423), Tormod Næs

Citation

Tomic et al., (2019). hoggorm: a python library for explorative multivariate statistics. Journal of Open Source Software, 4(39), 980, https://doi.org/10.21105/joss.00980

@article{Tomic2019, doi = {10.21105/joss.00980}, url = {https://doi.org/10.21105/joss.00980}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {39}, pages = {980}, author = {Oliver Tomic and Thomas Graff and Kristian Hovde Liland and Tormod Næs}, title = {hoggorm: a python library for explorative multivariate statistics}, journal = {Journal of Open Source Software} }
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multivariate statistics explorative multivariate analysis chemometrics partial least squares regression principal component regression principal component analysis

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ISSN 2475-9066