'Different types of Component Analysis on subsets of data

I have a dataset with 25 columns, of which 10 are continuous quantitative variables and 15 are either binary or ordinal categorical. I have two question:

Can I apply PCA only on the continuous variables and MCA on the remaining 15 binary/ordinal variables and then stich together the projections on the relative PCs space?

Can I apply MCA on binary and ordinal categorical variables together given a dummification of the ordinal variables, so as to have a dataset containing only binary variables?

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