Abstract
The article contains an attempt to expand the list of indicators for a discriminant model designed to predict the level of innovative development of regions. Data from the regions of the Central Federal District became the basis for selecting factors and building a model. This time, indicators were chosen that characterize activities that logically precede innovation, namely, research and development. As a result, calculations yielded coefficients for the model and the numerical value of the criterion for assessing the level of innovative development of regions.
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