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Assuming that the government of Maharashtra is open to industrial development in the state, higher the availability of physical infrastructure in Links of London state, higher will be the gross state domestic product from secondary sector. H. Assuming that the government of Gujarat is open to industrial development in the state, higher the availability of physical infrastructure in the state, higher will be the gross state domestic product from secondary sector. H. Assuming that the government of Tamil Nadu is open to industrial development in the state, higher the availability of physical infrastructure in the state, higher will be the gross state domestic product from secondary sector. H. Assuming that the government of Kerala is open to industrial development in the state, higher the availability of physical infrastructure Links of London Horseshoe Charm the state, higher will be the gross state domestic product from secondary sector. H. Assuming that the government of Orissa is open to industrial development in the state, higher the availability of physical infrastructure in the state, higher will be the gross state domestic product from secondary sector. H. Assuming that the government of Bihar is open to industrial development in the state, higher the availability of physical infrastructure in the state, higher will be the gross state domestic product from secondary sector. ANALYSIS We compute the pair order correlations for the constructs of rail density, road density and power generation for the six states. Table show that correlation among either of the infrastructure components is significant for all the six states. To find the individual effects links of london sale the physical infrastructure components on GSDP from secondary sector, we run the following regression equation for the six states under study . The results show that for all the six equations, some of the "t" values are not significant at level. For all the equations the R values are high, ranging between . to . indicating multicollinearity. To further check for multicollinearity, regression equations were run regressing each independent variable on the others, and Condition Index CI was calculated. Both the results indicated multicollinearity. One plausible reason for the presence of multicollinearity is the complementary nature of the three types Links of London Charms infrastructure. This is also supported by the correlation matrix of table . Of the measures available to remove multicollinearity, the option of adding data is ruled out to take care of the essence of the research problem, i.e. development post liberalization.