plot_explained_variance: Plot explained variance of plsr object

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

Description

Calculates and plots the variance explained in the original data X and Y by each additional latent variable.

Usage

plot_explained_variance(plsr_obj)

Arguments

plsr_obj

The plsr object.

Examples

plsr_obj = pls(rating_data, tracking_data,10,10)
plot_explained_variance(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).

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