Description Usage Arguments Details Value Author(s) References See Also Examples

Produce a coefficient profile plot from a fitted
`"compCL"`

object.

1 2 |

`x` |
fitted |

`xlab` |
what is on the X-axis. |

`label` |
if TRUE, label the curve with the variable sequence numbers. Default is |

`...` |
other graphical parameters. |

A coefficient profile plot for the compositional predictors is produced.

No return value. Side effect is a base R plot.

Zhe Sun and Kun Chen

Lin, W., Shi, P., Peng, R. and Li, H. (2014) *Variable selection in
regression with compositional covariates*,
https://academic.oup.com/biomet/article/101/4/785/1775476.
*Biometrika* **101** 785-979.

`compCL`

and `print`

,
`predict`

and `coef`

methods
for `"compCL"`

object.

1 2 3 4 5 | ```
Comp_data = comp_Model(n = 50, p = 30)
Comp_fit = compCL(y = Comp_data$y, Z = Comp_data$X.comp, Zc = Comp_data$Zc,
intercept = Comp_data$intercept)
plot(Comp_fit)
plot(Comp_fit, xlab = "norm", label = TRUE)
``` |

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