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


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