Input Matrix

RawMap

Matrix. size -> total number of items × xSize × ySize  

FixMap

Matrix. size -> total number of items × xSize × ySize  
It's the smoothed RawMap

PredictorM

Dataset or table. size -> total number of items × number of predictor. 
Categorical column must set to nominal  

DescriptvM

Dataset or table. size -> total number of items × number of predictor. 
The first 5 columns should be (in order, with the exact name):
FixNum          % total fixation number
sumFixDur       % total fixation duration
meanFixDur      % mean fixation duration
totalPathLength % total length of scan-path
meanPathLength  % mean length of scan-path
The following columns are the conditions (similiar to PredictorM), and subject column (must be the last column)
Categorical column must set to nominal  

Mask

2D binary matrix. size -> xSize × ySize  
Mask==1 are the pixels being modeled. 

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