We seek to develop an aridity index using nonlinear relationships of climatic variables such as T, P, ET and etc.
Use http://www.nlpca.org/matlab.html
Syntax
[pc, net] = nlpca(data, k) pc = nlpca_get_components(net, data) data_reconstruction = nlpca_get_data(net, pc)
https://www.mathworks.com/matlabcentral/answers/583802-implementation-of-nonlinear-principal-component-analysis-for-time-series-data-for-time-series-data-a
Try this..
https://in.mathworks.com/matlabcentral/fileexchange/66176-nonlinearity-test-for-principal-component-analysis
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