Partial Least Squares

Residual Analysis Plots - Residuals versus Order

This graph plots the standardized residuals in the order of the corresponding observations. The plot is useful when the order of the observations may influence the results, which can occur when data are collected in a time sequence or in some other sequence, such as geographic area. This plot can be particularly helpful in a designed experiment in which the runs are not randomized.

The residuals in the plot should fluctuate in a random pattern around the center line. Examine the plot to see if any correlation exists between error terms that are near each other. Correlation among residuals may be signified by:

· An ascending or descending trend in the residuals

· Rapid changes in signs of adjacent residuals

Example Output

Moisture

$image\plsr_18n.gif$

Fat

$image\plsr_19n.gif$

Interpretation

For the soybean data, the residuals appear to be randomly scattered about zero. No evidence exists that the error terms are correlated with one another.

Note	This plot is found in the four-in-one residual plot, which displays a layout of the residual histogram, residual normal probability plot, residual versus fit plot, and residual versus order plot in one graph.