Issues

Places where the book computes by hand, or only in R, what process_improve already provides

#285

· kgdunn opened

on Sep 5, 2026

Blocks that cannot run as printed: fill-in-the-blank exercises, a singular-matrix demonstration, and a plotly scatter without x and y

#284

· kgdunn opened

on Sep 4, 2026

Install instructions and extras: README says pip install process-improve, but the book's code needs the plotting extras

#283

· kgdunn opened

on Sep 4, 2026

Latent-variable chapters: numbers and descriptions that do not match what process-improve computes

#282

· kgdunn opened

on Sep 4, 2026

Least-squares chapter: blocks that break when run top to bottom, and two claims that do not hold

#281

· kgdunn opened

on Sep 4, 2026

Adaptive soft sensor: static.hotellings_t2_limit() raises on AdaptivePLS; the monitoring subsection stops there

#280

· kgdunn opened

on Sep 4, 2026

Food-texture blocks read the CSV without index_col=0, so MCUVScaler fails on the batch labels

#279

· kgdunn opened

on Sep 4, 2026

Soft sensors: PLS.predict(...).y_hat raises AttributeError, so the chapter's central helper and every block after it fail

#278

· kgdunn opened

on Sep 4, 2026

Multivariate process monitoring: contribution analysis uses an API that does not exist, and three of the chapter's conclusions do not hold on the data

#277

· kgdunn opened

on Sep 4, 2026

Deprecated PCA.predict used in the PCA exercises and the multivariate monitoring chapter

#276

· kgdunn opened

on Sep 4, 2026

Comparing design families: the first code block uses the removed center_points keyword, so the whole page is unrunnable

#275

· kgdunn opened

on Sep 4, 2026

Exercises and small additions requested in hidden comments

#217

· kgdunn opened

on Jul 5, 2026

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All issues

Places where the book computes by hand, or only in R, what process_improve already provides

Blocks that cannot run as printed: fill-in-the-blank exercises, a singular-matrix demonstration, and a plotly scatter without x and y

Install instructions and extras: README says pip install process-improve, but the book's code needs the plotting extras

Latent-variable chapters: numbers and descriptions that do not match what process-improve computes

Least-squares chapter: blocks that break when run top to bottom, and two claims that do not hold

Adaptive soft sensor: static.hotellings_t2_limit() raises on AdaptivePLS; the monitoring subsection stops there

Food-texture blocks read the CSV without index_col=0, so MCUVScaler fails on the batch labels

Soft sensors: PLS.predict(...).y_hat raises AttributeError, so the chapter's central helper and every block after it fail

Multivariate process monitoring: contribution analysis uses an API that does not exist, and three of the chapter's conclusions do not hold on the data

Deprecated PCA.predict used in the PCA exercises and the multivariate monitoring chapter

Comparing design families: the first code block uses the removed center_points keyword, so the whole page is unrunnable

Exercises and small additions requested in hidden comments

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