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Deriving the second principal component
Tutor me on https://mlprep.iwase.dev/item/pml-book1-ex20.3/. This is a practice item. If window.mlPrepAgent is available, read attempts for item pml-book1-ex20.3 before tutoring. Inspect my attempt, keep the item ID, and do not reveal the full answer first. After a real attempt, append its record with recorded_by agent, include agent_session_id when available, and read it back.Connects the constrained PCA reconstruction objective to the covariance eigenvector with the second-largest eigenvalue.
Source caveat
The public solution manual predates the dated book draft; the exercise title and task align, but notation may differ.
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