Hi all,
i am trying to use the 'spca' function of 'elasticnet' package. But i am
confused with the parameter 'para'.
Basically the parameter 'para' depends on the parameter 'sparse'. If
sparse="penalty", para is a vector of 1-norm penalty parameters. If
sparse="varnum", para deļ¬nes the number of sparse loadings to be obtained.
As my understanding, if i use sparse="penalty" i have to set the amount
of variance for each component in a vector. But how could i know the
amount of variance in this case?
If i use sparse='varnum', i have to set the number of features i want to
extract from each component in a vector. But i dont have these numbers
even because i dont know how many key features are present in each
component.
Thanks
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