Each observation should have a score for each component (for example, if you have 50 observations, each with some number of independent and dependent variable values associated with it, and you reduce the dataset into three PCs, then each observation will have a score for PC1, one for PC2, and one for PC3). You can treat the PC scores as any independent and dependent variable and put them straight into your regression or t-test.