FIX Use check_same_namespace in PCA array API validation - #34493

Reference Issues/PRs

Fixes #34483

What does this implement/fix? Explain your changes.

Currently, PCA.transform and PCA.inverse_transform call get_namespace(X, self.components_, ...) directly, which throws a generic TypeError when namespaces do not match.

This PR aligns PCA with linear models (like Ridge) by explicitly calling the check_same_namespace utility first. This ensures users receive the standard, informative ValueError when passing arrays from different namespaces after calling .fit().

First time contributor introduction

Hi everyone! I am an entry-level AI/ML engineer with a background in electronics and communication. I have used scikit-learn extensively throughout my projects and studies, and I am excited to finally start contributing back to the library that I rely on so heavily!

AI usage disclosure

I used AI assistance for:

• Code generation (e.g., when writing an implementation or fixing a bug)
• Research and understanding

Any other comments?

As noted by @StefanieSenger in the original issue thread, I understand there is an ongoing broader refactoring for namespace handling across the library by @lucyleeow. This PR is intended as a quick, targeted alignment for PCA to match linear models in the short term. If the broader design ends up superseding this patch globally later on, I completely understand if this PR gets closed in favor of that larger solution!