# Summary method for multiple comparisons of outputs

### Description

Summary method for objects of class `micomp`

.

### Usage

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### Arguments

`object` |
Object of class |

`...` |
Currently ignored. |

### Value

A list in which each component is associated with a distinct comparison. Each component contains a matrix, in which columns represent individual outputs and rows have information about the outputs. More specifically, each matrix has the following rows:

- #PCs (ve=%)
Number of principal components required to explain the specified percentage of variance. There is one row of this kind for each percentage of variance specified when creating the

`micomp`

object.- MANOVA (ve=%)
*P*-value for the MANOVA test applied to the #PCs required to explain the specified percentage of variance. There is one row of this kind for each percentage of variance specified when creating the`micomp`

object.- par.test
*P*-value for the parametric test (first principal component).- nonpar.test
*P*-value for the non-parametric test (first principal component).- par.test.adjust
*P*-value for the parametric test (first principal component), adjusted with the weighted Bonferroni procedure, percentage of explained variance used as weight.- nonpar.test.adjust
*P*-value for the non-parametric test (first principal component), adjusted with the weighted Bonferroni procedure, percentage of explained variance used as weight.

### Examples

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