Two factor analysis algorithms, previously described by P. Horst, have been programed for use on the General Electric Time-Sharing Computer System. The first of these, Principal Components Analysis (PCA), uses the Basic Structure Successive Factor Method With Residual Matrices algorithm to obtain the principal component vectors of a correlation matrix. The program will accept up to fifty variables in the correlation matrix and will successively compute up to thirty component vectors; it terminates upon finding a latent root less than one. Varimax Rotation (VARR) uses the Successive Factor Varimax Solution algorithm to produce a normalized rotated factor matrix, given no more than 10 principal component vectors of up to 50 variables. FORTRAN listings and sample runs of both programs are appended. (RM)