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I'm attempting to perform dimensionality reduction on a dataset of approx. 90 variables of mixed type (continuous, categorical, flag data types) in SPSS Modeler. There are around 90k rows. I want to use Principal Axis Factoring in the PCA/Factor node, but I'm receiving an error:
Failed to build PCA model, which is likely caused by lack of training rows. Increase row number and try again.
However, I can't see any option in the node to change the number of training rows. I've tried simplifying the dataset by only retaining continuous fields but I see the same error.
Is there any support for building this type of model?Thanks.