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add paper reference to README.rst
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README.rst

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@@ -29,6 +29,12 @@ The documentation is available at https://mbpls.readthedocs.io
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and elaborate (real-world) Jupyter Notebook examples can be found at
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https://github.com/DTUComputeStatisticsAndDataAnalysis/MBPLS/tree/master/examples
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This package can be cited using the following reference.
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*Baum et al., (2019). Multiblock PLS: Block dependent prediction modeling for Python. Journal of Open Source Software, 4(34), 1190*
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Installation
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------------
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y_pred = mbpls.predict([x1, x2])
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# Use built-in plot method for exploratory analysis of multiblock pls models
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mbpls.plot(num_components=3)
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mbpls.plot(num_components=3)

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