ozone_complete: Complete-case ozone dataset
In missPLS: Methods and Reproducible Workflows for Partial Least Squares with Missing Data
ozone_complete R Documentation
Complete-case ozone dataset
Description
Los Angeles ozone pollution complete-case dataset used in the article and
thesis.
Usage
ozone_complete
Format
A misspls_dataset list with components:
- name
Dataset name.
- x
A numeric 203 x 12 predictor matrix.
- y
A numeric response vector of length 203.
- data
A data frame with response y and predictors x1 to x12.
- source
A short source reference.
- preprocessing
Dataset preprocessing notes.
- notes
Additional study notes.
Source
mlbench::Ozone, restricted to the 203 complete observations used
in the published analysis.
missPLS documentation built on April 30, 2026, 9:09 a.m.
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| ozone_complete | R Documentation |
Complete-case ozone dataset
Description
Los Angeles ozone pollution complete-case dataset used in the article and thesis.
Usage
ozone_complete
Format
A misspls_dataset list with components:
- name
Dataset name.
- x
A numeric
203 x 12predictor matrix.- y
A numeric response vector of length
203.- data
A data frame with response
yand predictorsx1tox12.- source
A short source reference.
- preprocessing
Dataset preprocessing notes.
- notes
Additional study notes.
Source
mlbench::Ozone, restricted to the 203 complete observations used
in the published analysis.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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