README.md

In yovanamili/MissDataPLSreg:

MissDataPLSreg

This pakage will help us to impute missing data and find the number of components in a PLS regression using three diferent type of imputation method

The goal of MissDataPLSreg is to …

Installation

You can install the released version of MissDataPLSreg from CRAN with:

install.packages("MissDataPLSreg")

Example

This is a basic example which shows you how to solve a common problem:

library(MissDataPLSreg)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub!

yovanamili/MissDataPLSreg documentation built on Aug. 15, 2020, 12:41 a.m.