Dataset: embroider.csv

Source: A. Dutta and B. Chatterjee (2020). "Development of Prediction Model Through
Linear Multiple Regression for the Prediction of Longitudinal Stiffness of
Embroidered Fabric," Fashion and Textiles, 7:36 pp.1:24

Description: Multiple Regression model relating 
Y = Longitudinal Flexural Rigidity of Embridered Fabric (dyne.cm) to 6 predictors:
X1 = Warp Way Flexural Rigidity of the Base Fabric (dyne.cm)
X2 = Embroidery Thread Breaking Load (gf)
X3 = Embroidery Thread Denier
X4 = Stitch Density (# stitches per cm^2)
X5 = Average Stitch Length (mm)
X6 = Average Angle Between Embroidery Stitch and the Warp Direction of the Base Fabric
Model was fit on training sample (first 49 cases) and validated on test sample (last 25)

Variable Names
sample (1=Training, 2=Test)
IDsample   (ID number within sample)
X1
X2
X3
X4
X5
X6
Y