---
title: "Introduction"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Introduction}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

```{r setup}
library(NPLStoolbox)
```

```{r process the data}
processedTongue = parafac4microbiome::processDataCube(Cornejo2025$Tongue_microbiome, sparsityThreshold=0.5, considerGroups=TRUE, groupVariable="GenderID", centerMode=1, scaleMode=2)

processedSaliva = parafac4microbiome::processDataCube(Cornejo2025$Salivary_microbiome, sparsityThreshold=0.5, considerGroups=TRUE, groupVariable="GenderID", centerMode=1, scaleMode=2)

processedCytokine = Cornejo2025$Salivary_cytokines
```

```{r make CP models}
modelTongue = parafac4microbiome::parafac(processedTongue$data, nfac=2, nstart=100)
modelSaliva = parafac4microbiome::parafac(processedSaliva$data, nfac=2, nstart=100)
modelCytokine = parafac4microbiome::parafac(processedCytokine$data, nfac=2, nstart=100)
```

```{r make NPLS models}
Y = as.numeric(as.factor(Cornejo2025$Tongue_microbiome$mode1$GenderID))
Ycnt = Y - mean(Y)
tongue_NPLS = triPLS1(processedTongue$data, Ycnt, 1)

Y = as.numeric(as.factor(Cornejo2025$Salivary_microbiome$mode1$GenderID))
Ycnt = Y - mean(Y)
saliva_NPLS = triPLS1(processedSaliva$data, Ycnt, 1)

Y = as.numeric(as.factor(Cornejo2025$Salivary_cytokines$mode1$GenderID))
Ycnt = Y - mean(Y)
cytokine_NPLS = triPLS1(processedCytokine$data, Ycnt, 1)
```

