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

Plot estimated coefficients of the selected predictors in the SPLS object.

1 2 | ```
coefplot.spls( object, nwin=c(2,2),
xvar=c(1:length(object$A)), ylimit=NA )
``` |

`object` |
A fitted SPLS object. |

`nwin` |
Vector of the number of rows and columns in a plotting area. Default is two rows and two columns, i.e., four plots. |

`xvar` |
Index of variables to be plotted among the set of the selected predictors. Default is to plot the coefficients of all the selected predictors. |

`ylimit` |
Range of the y axis (the coefficients) in the plot.
If |

This plot is useful for visualizing coefficient estimates of a variable for different responses. Hence, the function is applicable only with multivariate response SPLS.

NULL.

Dongjun Chung, Hyonho Chun, and Sunduz Keles.

Chun H and Keles S (2010), "Sparse partial least squares
for simultaneous dimension reduction and variable selection",
*Journal of the Royal Statistical Society - Series B*, Vol. 72, pp. 3–25.

`ci.spls`

, and `correct.spls`

and
`plot.spls`

.

1 2 3 4 5 6 |

```
Sparse Partial Least Squares (SPLS) Regression and
Classification (version 2.2-3)
```

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