data.table, git2r, magrittr, R6, rmarkdown, utils

Automatic Generation of Interactive Visualizations for Popular
Statistical Results
person("Yuan", "Tang", role = c("aut", "cre"), email = "terrytangyuan@gmail.com")
Functionalities to automatically generate interactive visualizations for popular
statistical results supported by 'ggfortify', such as time series, PCA,
clustering and survival analysis, with 'plotly.js' <https://plot.ly/>  and
'ggplot2' style. The generated visualizations can also be easily extended
using 'ggplot2' and 'plotly' syntax while staying interactive.

Automatic Generation of Interactive Visualizations for
Statistical Results
person("Yuan", "Tang", role = c("aut", "cre"),
email = "terrytangyuan@gmail.com",
comment = c(ORCID = "0000-0001-5243-233X"))
Functionalities to automatically generate interactive visualizations for
statistical results supported by 'ggfortify', such as time series, PCA,
clustering and survival analysis, with 'plotly.js' <https://plot.ly/>  and
'ggplot2' style. The generated visualizations can also be easily extended
using 'ggplot2' and 'plotly' syntax while staying interactive.

Functionalities to automatically generate interactive visualizations for
statistical results supported by 'ggfortify', such as time series, PCA,
clustering and survival analysis, with 'plotly.js' <https://plotly.com/>  and
'ggplot2' style. The generated visualizations can also be easily extended
using 'ggplot2' and 'plotly' syntax while staying interactive.

pls regression with backward selection of predictors
Sebastian Schmidtlein, with contributions from Carsten
Oldenburg and Hannes Feilhauer
An extension of the pls package with automated backward
selection of predictors

Sebastian Schmidtlein, with contributions from Carsten Oldenburg and Hannes Feilhauer
An extension of the pls package with automated backward selection of predictors

Partial Least Squares Regression with Backward Selection of
Predictors
Sebastian Schmidtlein, with contributions from C. Oldenburg and H. Feilhauer
and with a code snipped borrowed from Bjorn-Helge Mevik
Some convenience functions for pls regression, including backward
variable selection and validation procedures, image based predictions
and plotting.