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Fig. 7 | BMC Neuroscience

Fig. 7

From: A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets

Fig. 7

Prediction error of linear regression for overdetermined cases. Traditional least squares regression applied to the linear model relating ERP feature vectors and either physical (left) or psychophysical (right) attributes. The RMS prediction error is shown in the vertical axis. The number of trials per observation, varying from 1 to 6, is shown in the horizontal axis. Dots and vertical bars represent, respectively, the means and standard deviations obtained for the 11 participants

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BMC Neuroscience

ISSN: 1471-2202

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