Perform a multi linear regression between property and previously selected descriptors (using select_MLR function).
Calculate R2 coefficient and the predicted values from the MLR. Trace the graph experimental values vs predicted values.
Usage
fitting(mydata, n, property)
Arguments
mydata
Dataframe containing names and values of response and descriptors
n
Number of selected descriptors of the regression (determined using select_MLR function)
property
Name of the studied proterty
Value
prediction_TrainSet_Y.csv
File containing prediction obtained using the fitting
Y_TrainingSet.tiff
Image representing experimental values vs predicted values for the training set
fit
lm object return by the function
Examples
# First run select_MLR to define n
# y<-data[,2]
# mydata<-cbind(y,MLR)
# fit<-fitting(data,dim(MLR)[2],"Name of property")