summary.plsr: Summary of plsr object

In plsr: Pleasure - Partial Least Squares Analysis with Permutation Testing

Description

Summary of plsr object

Usage

## S3 method for class 'plsr'
summary(object, ...)

Arguments

object	A plsr object.
...	Further arguments.

Examples

plsr_obj = pls(rating_data,tracking_data,10,10)
summary(plsr_obj)

Example output

Be aware that plsr 0.0.1 contains experimental and partly untested code.
Use cautiously.

Attaching package: ‘plsr’

The following object is masked from ‘package:stats’:

    loadings


Permuting...


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Done!
Bootstrapping...
Done!
Warning messages:
1: In pls(rating_data, tracking_data, 10, 10) :
  Bootstrapping functionality is still untested! No guarantee for correctness! Use with extra care.
2: In pls(rating_data, tracking_data, 10, 10) :
  Some p-values are not stable under this precision.
 Try to increase the number of permutation steps (n_perm).
Permutation iterations: 10 
P_values:
[1] 0.09090909 0.09090909 0.18181818 0.81818182 0.90909091 1.00000000 1.00000000

Bootstrap iterations: 10 

Loading matrix for Y-side (U) too big...ommited

Loading matrix for X-side (V)

                   LV1         LV2        LV3          LV4         LV5
happy      -0.51866888 -0.03047300  0.2820295 -0.161209033  0.29692132
sad         0.31765080  0.04152656 -0.3206474  0.018493299  0.46567703
surprised  -0.03495412 -0.87088133 -0.1728669  0.009944748 -0.38290106
disgusted   0.40324432 -0.13441072  0.3101666 -0.845374509  0.06503936
angry       0.57686587 -0.19163284  0.5036483  0.497881859  0.17475943
fearful     0.15606667 -0.16427285 -0.6195140 -0.077697923  0.39910665
interested -0.33033581 -0.39640597  0.2325922  0.070635499  0.59524140
                   LV6         LV7
happy      -0.22257774  0.69772622
sad        -0.75681492 -0.06777050
surprised  -0.23323541  0.09669586
disgusted   0.05318521 -0.03751827
angry       0.11166760  0.29316232
fearful     0.53208933  0.34120064
interested  0.15771555 -0.54356743

plsr documentation built on May 1, 2019, 11:28 p.m.